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News Article | April 21, 2017
Site: www.eurekalert.org

A new laboratory technique developed by researchers at Baylor College of Medicine and other institutions can rapidly test the effectiveness of treatments for life-threatening breast cancer metastases in bone. The study appears in Nature Communications. "For a number of breast cancer patients, the problem is metastasis -- the dissemination of breast tumor cells to other organs -- after the primary tumor has been eliminated," said corresponding author Dr. Xiang Zhang, associate professor of molecular and cellular biology and the Lester and Sue Smith Breast Center at Baylor. "Metastases, however, tend to respond differently than the primary tumor to the treatment in part due to residing in a different organ with a different microenvironment." Until now, there has not been an effective experimental platform to study metastatic tumors in their new microenvironment. "We have created an experimental system in which we can mimic the interactions between cancer cells and bone cells, as bone is the place where breast cancer, and many other cancers too, disseminates most frequently," said Zhang, who also is a McNair Scholar at Baylor. "We have developed a system that allows us to test many different drug responses simultaneously to discover the therapy that can selectively act on metastatic cancer cells and minimize the effect on the bone." To mimic the interactions between metastatic breast cancer cells and bone cells in a living system in the lab, Zhang and his colleagues developed a bone metastasis model, called bone-in culture array, by fragmenting mouse bones that already contain breast cancer cells. The scientists determined that the bone-in culture maintains the microenvironmental characteristics of bone metastasis in living animal models, and the cancer cells maintain the gene expression profile, the growth pattern and their response to therapies. Using the bone-in model, the researchers determined that the drug danusertib preferentially inhibits bone metastasis. They also found that other drugs stimulate the growth of slow-growing cancer cells in the bone. In addition to determining the effect of drugs in the growth of metastasis in bone, the bone-in culture can be used to investigate mechanisms involved in bone colonization by cancer cells. "We think that this new system has the potential to be applied not only to breast cancer but to other cancers that also metastasize to the bone," Zhang said. "This technique can be scaled up to larger sample sizes, which would help accelerate the process of discovering metastatic cancer treatments. We have already found a few interesting drugs. We will keep looking for more and focus on those that are most promising." In the future, the scientists expect to develop this platform into a standardized system that can be used in the clinic to find specific drugs that can better treat metastatic cancer. Other contributors to this work include Hai Wang, Lin Tian, Amit Goldstein, Jun Liu, Hin-Ching Lo, Kuanwei Sheng, Thomas Welte, Stephen T. C. Wong, Zbigniew Gugala, Fabio Stossi, Chenghang Zong, Zonghai Li and Michael A. Mancini. The authors are affiliated with one or more of the following institutions: Baylor, Shanghai Jiao Tong University School of Medicine, Weill Cornell Medical College, Houston Methodist Hospital and the University of Texas Medical Branch, Galveston. Financial support was provided by the U.S. Department of Defense (DAMD W81XWH-16-1-0073, DAMD W81XWH-13-1-0296), the National Cancer Institute (CA183878), the Breast Cancer Research Foundation, Susan G. Komen (CCR14298445), and the McNair Medical Institute. This work was also made possible by the CyVerse Collaborative, funded by the National Science Foundation (No. DBI-0735191), the Integrated Microscopy Core at Baylor College of Medicine with funding from the National Institutes of Health (HD007495, DK56338, and CA125123), the Pathology Core of the Lester and Sue Smith Breast Center, the Dan L Duncan Comprehensive Cancer Center and the John S. Dunn Gulf Coast Consortium for Chemical Genomics.


News Article | May 5, 2017
Site: en.prnasia.com

WUXI, China, May 6, 2017 /PRNewswire/ -- The final round of the 2017 ASC Student Supercomputer Challenge (ASC17) ended in Wuxi. Tsinghua University stood out from 20 teams from around the world after a fierce one-week competition, becoming grand champion and winning the prize. As the world's largest supercomputing competition, ASC17 received applications from 230 universities around the world, 20 of which got through to the final round held this week at the National Supercomputing Center in Wuxi after the qualifying rounds. During the final round, the university student teams were required to independently design a supercomputing system under the precondition of a limited 3000W power consumption. They also had to operate and optimize standard international benchmark tests and a variety of cutting-edge scientific and engineering applications including AI-based transport prediction, genetic assembly, and material science. Moreover, they were required to complete high-resolution maritime simulation on the world's fastest supercomputer, "Sunway TaihuLight". The grand champion, team Tsinghua University, completed deep parallel optimization of the high-resolution maritime data simulation mode MASNUM on TaihuLight, expanding the original program up to 10,000 cores and speeding up the program by 392 times. This helped the Tsinghua University team win the e Prize award. MASNUM was nominated in 2016 for the Gordon Bell Prize, the top international prize in the supercomputing applications field. The runner-up, Beihang University, gave an outstanding performance in the popular AI field. After constructing a supercomputing system which received massive training based on past big data of transportation provided by Baidu, their self-developed excellent deep neural network model yielded the most accurate prediction of road conditions during the morning peak. The first-time finalist, Weifang University team, constructed a highly optimized advanced heterogeneous supercomputing system with Inspur's supercomputing server, and ran the international HPL benchmark test, setting a new world record of 31.7 TFLOPS for float-point computing speed. The team turned out to be the biggest surprise of the event and won the award for best computing performance. Moreover, Ural Federal University, National Tsing Hua University, Northwestern Polytechnical University and Shanghai Jiao Tong University won the application innovation award. The popular choice award was shared by Saint-Petersburg State University and Zhengzhou University. "It is great to see the presence of global teams in this event," Jack Dongarra, the Chairman of the ASC Expert Committee, founder of the TOP500 list that ranks the 500 most powerful supercomputer systems in the world, and professor at the Oak Ridge National Laboratory of the United States and the University of Tennessee, said in an interview. "This event inspired students to gain advanced scientific knowledge. TaihuLight is an amazing platform for this event. Just imagine the interconnected computation of everyone's computer in a gymnasium housing 100,000 persons, and TaihuLight's capacity is 100 times of such a gym. This is something none of the teams will ever be able to experience again." According to Wang Endong, initiator of the ASC competition, academician of the Chinese Academy of Engineering, and the chief scientist of Inspur Group, the rapid development of AI at the moment is significantly changing human society. At the core of such development are computing, data and algorithms. With this trend, supercomputers will become an important infrastructure for intelligent society in the future, and their speed of development and standards will be closely related to social development, improvement in livelihood, and progress of civilization. ASC competition is always committed to cultivating future-oriented, inter-disciplinary supercomputing talents to extend the benefits to the greater population. ASC17 is jointly organized by the Asian Supercomputing Community, Inspur Group, the National Supercomputing Center in Wuxi, and Zhengzhou University. Initiated by China, the ASC supercomputing challenge aims to be the platform to promote exchanges among young supercomputing talent from different countries and regions, as well as to groom young talent. It also aims to be the key driving force in promoting technological and industrial innovations by improving the standards in supercomputing applications and research. To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/tsinghua-university-won-asc17-championship-big-time-300452166.html


News Article | May 5, 2017
Site: www.prnewswire.com

The grand champion, team Tsinghua University, completed deep parallel optimization of the high-resolution maritime data simulation mode MASNUM on TaihuLight, expanding the original program up to 10,000 cores and speeding up the program by 392 times. This helped the Tsinghua University team win the e Prize award. MASNUM was nominated in 2016 for the Gordon Bell Prize, the top international prize in the supercomputing applications field. The runner-up, Beihang University, gave an outstanding performance in the popular AI field. After constructing a supercomputing system which received massive training based on past big data of transportation provided by Baidu, their self-developed excellent deep neural network model yielded the most accurate prediction of road conditions during the morning peak. The first-time finalist, Weifang University team, constructed a highly optimized advanced heterogeneous supercomputing system with Inspur's supercomputing server, and ran the international HPL benchmark test, setting a new world record of 31.7 TFLOPS for float-point computing speed. The team turned out to be the biggest surprise of the event and won the award for best computing performance. Moreover, Ural Federal University, National Tsing Hua University, Northwestern Polytechnical University and Shanghai Jiao Tong University won the application innovation award. The popular choice award was shared by Saint-Petersburg State University and Zhengzhou University. "It is great to see the presence of global teams in this event," Jack Dongarra, the Chairman of the ASC Expert Committee, founder of the TOP500 list that ranks the 500 most powerful supercomputer systems in the world, and professor at the Oak Ridge National Laboratory of the United States and the University of Tennessee, said in an interview. "This event inspired students to gain advanced scientific knowledge. TaihuLight is an amazing platform for this event. Just imagine the interconnected computation of everyone's computer in a gymnasium housing 100,000 persons, and TaihuLight's capacity is 100 times of such a gym. This is something none of the teams will ever be able to experience again." According to Wang Endong, initiator of the ASC competition, academician of the Chinese Academy of Engineering, and the chief scientist of Inspur Group, the rapid development of AI at the moment is significantly changing human society. At the core of such development are computing, data and algorithms. With this trend, supercomputers will become an important infrastructure for intelligent society in the future, and their speed of development and standards will be closely related to social development, improvement in livelihood, and progress of civilization. ASC competition is always committed to cultivating future-oriented, inter-disciplinary supercomputing talents to extend the benefits to the greater population. ASC17 is jointly organized by the Asian Supercomputing Community, Inspur Group, the National Supercomputing Center in Wuxi, and Zhengzhou University. Initiated by China, the ASC supercomputing challenge aims to be the platform to promote exchanges among young supercomputing talent from different countries and regions, as well as to groom young talent. It also aims to be the key driving force in promoting technological and industrial innovations by improving the standards in supercomputing applications and research. To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/tsinghua-university-won-asc17-championship-big-time-300452166.html


News Article | May 5, 2017
Site: www.greencarcongress.com

« Faurecia and ZF enter in a strategic partnership for integrated safety for autonomous driving | Main | DeepMap raises $25M in Series A, $32M to date; high-definition mapping for safe autonomy » The Chevrolet EN-V 2.0 vehicle sharing pilot program (earlier post) launched by General Motors and Shanghai Jiao Tong University (SJTU) recently concluded after two years’ operation in a real-world environment. Learnings obtained through data analysis carried out jointly by GM engineers and SJTU researchers and students will be shared with the team responsible for GM’s global personal mobility brand, Maven. Since its launch in January 2016, Maven has been providing multifaceted vehicle sharing services, primarily in North America. The learnings will also support GM’s continued exploration of China’s sharing market. Last year, GM invested in Yi Wei Xing, a leading provider of technology solutions for the car-sharing business in China. The fleet of 16 EN-V 2.0 electric concept vehicles logged almost 90,000 kilometers of shared journeys at SJTU’s Minhang campus in Shanghai. Nearly 35,000 rentals were made by faculty and graduate students—about 70 rentals per operational day on average. The EN-V 2.0 works by combining electric drive with easy-swipe card access for entry, fees and starting. GM regards car sharing as an important building block for future personal mobility. The pilot program provided GM valuable data and insights into real-world sharing practices and electric vehicle usage. It will help advance our development of sustainable personal mobility solutions for China and the world. Designed, engineered and built by a team at GM China, the EN-V 2.0 is the second generation of the Electric Networked-Vehicle (EN-V) that GM demonstrated at Expo 2010 in Shanghai. It supports GM’s vision of sustainable transportation in the year 2030—a future free from petroleum, free from emissions, free from congestion and free from accidents.


News Article | February 15, 2017
Site: www.businesswire.com

NEW YORK--(BUSINESS WIRE)--Having received CE Mark approval in July and Health Canada approval in August of last year, FlowAid Medical Technologies Corp. of New York City, announced today it has received U.S. Food and Drug Administration FDA clearance for its FA100 SCCD (Sequential Continuous Contraction Device) for the following indications: increase of local blood circulation, immediate post-surgical stimulation of calf muscles to prevent venous thrombosis, prevention or retardation of disuse atrophy and edema reduction. The FA100 SCCD is the first device of its kind cleared by the FDA for the indication of edema reduction. The FA100 SCCD is a small, lightweight, portable, and handheld 4-channel electrical muscle stimulator that is easy to use and provides comfortable, low-frequency stimulation in a proprietary sequential pattern. The FA100 SCCD operates without any external pressure to the leg, allows complete mobility and does not interfere with daily activities. The primary mechanism of the FA100 is to activate the calf muscle pump, the body’s natural built-in system pump, using a sequential pattern of electrical stimulation that causes a peristaltic wave of muscle contractions running distal to proximal along the lower leg. The muscle contractions periodically compress the deep veins of the lower leg, forcing the partial emptying of the deep veins and resulting in increased arterial flow. Clinical trials and evaluations of the FA100 SCCD have been ongoing, and professional interest is evident on every continent. Dr Guido Giacalone, Director of the Lymfoedeem Centrum in Belgium, will be doing a large study on the effects of the device on Lymphedema and Prof. Raj Mani, Consultant in Clinical Sciences at Southampton University Hospital NHS Trust and Visiting Professor at the Shanghai Jiao Tong University School of Medicine, will be supervising a worldwide study on effects of the device on Diabetic Peripheral Neuropathy. Past publications and case study results using the FA100 SCCD can be viewed on our website. FlowAid CEO Jacob Brezel: “We are very excited to be able to make the FA100 SCCD available to patients in the United States who will benefit from low-frequency, comfortable stimulation of the calf muscles to increase blood flow. We plan to submit additional FDA applications to expand our claims for other disease-specific indications, including the treatment of Diabetic Peripheral Neuropathy and Lymphedema.” FlowAid Medical Technologies Corp. is an emerging growth company focused on treating blood circulatory disorders of the extremities by continuously upgrading current medical solutions with new innovative cutting edge technologies. Our mission is to improve the quality of patient care and the productivity of health care delivery through the development of certain non-invasive medical devices and procedures for increasing blood flow and circulatory enhancement based upon many years of R&D, the involvement of many multidisciplinary professionals and patient feedback.


News Article | February 15, 2017
Site: www.prweb.com

Brajendra Mishra, who serves as Kenneth G. Merriam Professor of Mechanical Engineering at Worcester Polytechnic Institute (WPI), has been named director of the university’s Metal Processing Institute (MPI), a leading industry-university alliance dedicated to advancing the field of materials science through research conducted across four focused centers. Mishra, who joined WPI in April 2015 as associate director of MPI and director of the MPI’s Center for Resource Recovery and Recycling (CR3), will succeed Diran Apelian, Alcoa-Howmet Professor of Mechanical Engineering at WPI who launched MPI at WPI in 1996. As founding director of MPI, Apelian will continue to direct the activities of the Advanced Casting Research Center (ACRC). “I’m elated to become the director and am looking forward to the challenge,” said Mishra. “Taking over from someone like Professor Apelian is a big challenge and a distinct honor, knowing how active this institute is on campus and its extensive work with industry.” MPI, the largest industry-university alliance in North America, conducts research in the areas of metal casting (in ACRC), heat treating (in the Center for Heat Treating Excellence, or CHTE), resource recovery and recycling (in CR3), and most recently materials processing (in the Center for Materials Processing Data, or CMPD). Each of the four research centers has multiple industry members, which pay an annual membership fee to support noncompetitive research by MPI faculty members and students. Mishra said his initial goals include furthering CMPD, which will be focused on data that supports the aerospace and automotive industries; expanding MPI’s membership base (notably in CR3, an NSF Industry/University Cooperative Research Center); and developing a more robust materials science curriculum for WPI graduate students. In addition, MPI is expanding globally and in 2017 will launch a new center at Shanghai Jiao Tong University in Shanghai, China, dedicated to non-destructive evaluation. Ultimately, Mishra said, MPI will continue to focus on serving the metals and materials industrial base. “The primary purpose of MPI is to solve industry problems, to develop new methods or materials for the industry, or even to share fundamental results that companies are seeking,” said Mishra. Mishra, who joined WPI from the Colorado School of Mines, has collaborated with Apelian for the past 15 years. The pair initially worked together through the Minerals, Metals & Materials Society (TMS), where both previously served as president at different junctures. As a result of these collaborations, he has high praise for Apelian. “Diran in himself is an institution,” said Mishra. “What he has done for WPI and MPI is incredible. He started MPI with one center and is now up to four centers.” Mishra also said Apelian has taken the time to mentor him. “I consider him as a coach, but not a coach who coaches from the sidelines,” said Mishra. “He’s on the field with me and with his students and other people on campus. And when he does that, he’s engaged not just with his words but with his actions. When you see him talk to people—whether it’s on the phone interviewing someone or talking with people in industry—it’s just an inspiration.” Apelian lauded Mishra’s dedication to MPI, and his vision for its future. “One of the best gifts in life is to be able to execute what you are passionate about, and then witness its continued success when you are no longer at the helm,” said Apelian. “Brajendra Mishra is a distinguished colleague, an eminent scholar and engineer, a dear friend, and a beautiful soul. I cannot think of a better person to take over the duties of MPI and lead it to greater heights.” To learn more about MPI, visit here. Founded in 1865 in Worcester, Mass., WPI is one of the nation’s first engineering and technology universities. Its 14 academic departments offer more than 50 undergraduate and graduate degree programs in science, engineering, technology, business, the social sciences, and the humanities and arts, leading to bachelor’s, master’s and doctoral degrees. WPI's talented faculty work with students on interdisciplinary research that seeks solutions to important and socially relevant problems in fields as diverse as the life sciences and bioengineering, energy, information security, materials processing, and robotics. Students also have the opportunity to make a difference to communities and organizations around the world through the university's innovative Global Projects Program. There are more than 45 WPI project centers throughout the Americas, Africa, Asia-Pacific, and Europe.


News Article | March 1, 2017
Site: en.prnasia.com

Full-year revenue from transaction services increased 133.6% year-over-year to RMB1.55 billion in 2016BEIJING, Mar. 1, 2017 /PRNewswire/ -- Bitauto Holdings Limited ("Bitauto" or the "Company") (NYSE: BITA), a leading provider of internet content and marketing services for China's fast-growing automotive industry, today announced its unaudited financial results for the fourth quarter and fiscal year ended December 31, 2016[1]. Mr. William Li, chief executive officer and chairman of Bitauto said, "We are pleased to end 2016 with solid progress both in building out our platform for serving the entire auto purchase value chain in China and in driving synergies between our transaction services and media businesses. As a result, total revenue in 2016 grew 35.7% year-over-year with a 133.6% annual increase in transaction services for new and used cars. Combining Bitauto's clear leadership in transaction services with our robust media business, we aim to become the preferred platform for auto consumption in China." "To achieve this goal, in 2017 we will focus on further enhancing our traffic, leads-to-transaction conversion rate, and monetization capabilities in both our media and transaction businesses. With regard to traffic, we will make efforts in branding and content to enhance user experience and stickiness, with a strong focus on the mobile end. To increase our conversion rate, we will roll out big data-driven marketing tools that are based on dynamic user behavior to help our customers target auto buyers more effectively, which will improve both user experience and our ability to earn media revenue. Lastly, in our transaction business, we will increase monetization by driving more multi-purpose transactions covering financing, insurance and trade-ins." Mr. Andy Zhang, president of Bitauto, said, "As we execute our strategies for enhancing traffic, conversion and monetization, we will gain two significant competitive advantages. First is a platform effect that applies to both our media and transactions services businesses. On the media front, user stickiness will increase across our mobile, PC and partnering properties. In transaction services, our rapidly growing user base and value-added services will allow us to generate more revenue from third-party products, leading to more platform-derived revenue. The second competitive advantage will come from the application of big data , as we leverage China's most comprehensive, focused, and dynamic auto consumer information across our media and financial services businesses." Ms. Cynthia He, chief financial officer of Bitauto, said, "Bitauto delivered solid results for the fourth quarter and full year of 2016. Looking ahead, we expect to see sustained strong revenue contribution from our transaction services business, as we benefit from our investments made in recent years in creating a financial services platform for new and used cars. With major investments in these areas behind us, in 2017 we will allocate more resources towards enhancing our user traffic and big data capabilities to drive further growth in both our advertising and subscription business and our transaction services business." Bitauto reported revenue of RMB1.75 billion (US$251.9 million) for the fourth quarter of 2016, representing a 31.9% increase from the corresponding period in 2015. The increase in revenue was primarily attributable to the growth of the Company's transaction services business and digital marketing solutions business. Cost of revenue for the fourth quarter of 2016 was RMB640.3 million (US$92.2 million), representing a year-over-year increase of 51.5% from the corresponding period in 2015. Cost of revenue as a percentage of revenue in the fourth quarter of 2016 was 36.6%, compared to 31.9% in the corresponding period in 2015. The increase was primarily due to increased cost related to transaction services. Gross profit for the fourth quarter of 2016 was RMB1.11 billion (US$159.7 million), representing a 22.8% increase from the corresponding period in 2015. Selling and administrative expenses were RMB1.00 billion (US$144.7 million) for the fourth quarter of 2016, compared to RMB1.17 billion (US$168.8 million) in the corresponding period in 2015. Product development expenses were RMB149.5 million (US$21.5 million) for the fourth quarter of 2016, representing a 68.4% increase from the corresponding period in 2015. The increase was primarily due to an increase in product development headcount and related expenses. Share-based payment expenses, which were allocated to related operating expense line items, were RMB19.9 million (US$2.9 million) in the fourth quarter of 2016, compared to RMB27.6 million (US$4.0 million) in the corresponding period in 2015. Operating loss in the fourth quarter of 2016 was RMB20.6 million (US$3.0 million), compared to an operating loss of RMB346.7 million (US$49.9 million) in the corresponding period in 2015. Non-GAAP operating profit in the fourth quarter of 2016 was RMB160.9 million (US$23.2 million), representing a 27.5% increase from the corresponding period in 2015. Income tax expense in the fourth quarter of 2016 was RMB59.1 million (US$8.5 million), compared to an income tax expense of RMB7.3 million (US$1.1 million) in the corresponding period in 2015. The increase was mainly due to the impact of increased operating profit as well as certain one-off non-deductible expenses for some of the Company's subsidiaries. Net loss in the fourth quarter of 2016 was RMB105.1 million (US$15.1 million), compared to a net loss of RMB312.8 million (US$45.1 million) in the corresponding period in 2015. Basic and diluted net loss per ADS, each representing one ordinary share, in the fourth quarter of 2016 amounted to RMB2.70 (US$0.39) and RMB2.70 (US$0.39), respectively, taking in consideration the accretion of mezzanine equity amounting to RMB80.2 million (US$11.5 million). Non-GAAP net profit in the fourth quarter of 2016 was RMB98.5 million (US$14.2 million), compared to a net profit of RMB111.2 million (US$16.0 million) in the corresponding period in 2015. Non-GAAP basic and diluted net profit per ADS in the fourth quarter of 2016 amounted to RMB0.19 (US$0.03) and RMB0.19 (US$0.03), respectively, taking in consideration the accretion of mezzanine equity amounting to RMB80.2 million (US$11.5 million). Cash from operating activities, cash used in investing activities, and cash from financing activities in the fourth quarter of 2016 were RMB407.8 million (US$58.7 million), RMB6.54 billion (US$942.5 million), and RMB6.32 billion (US$910.5 million), respectively. Given the expansion of the Company's financial services platform business, in the fourth quarter of 2016 cash flows resulting from finance receivables were reclassified from cash flows from operating activities to cash flows from investing activities, in line with comparable companies Revenue in 2016 was RMB5.77 billion (US$831.5 million), representing a 35.7% increase from 2015. The increase in revenue was primarily attributable to the growth of the Company's transaction services business and digital marketing solutions business. Cost of revenue in 2016 was RMB2.08 billion (US$299.3 million), representing a year-over-year increase of 43.2% from 2015. Cost of revenue as a percentage of revenue in 2016 was 36.0%, compared to 34.1% in 2015. The increase was primarily due to increased cost related to transaction services. Gross profit in 2016 was RMB3.69 billion (US$532.2 million), representing a 31.8% increase from 2015. Selling and administrative expenses were RMB3.40 billion (US$489.4 million) in 2016, representing an increase of 12.7% from 2015. This increase was primarily attributable to the increase in headcount and related expenses. Product development expenses were RMB457.4 million (US$65.9 million) in 2016, representing a 46.5% increase from 2015. The increase was primarily due to an increase in product development headcount and related expenses. Share-based payment expenses, which were allocated to related operating expense line items, were RMB77.0 million (US$11.1 million) in 2016, compared to RMB120.0 million (US$17.3 million) in 2015. Operating loss in 2016 was RMB89.2 million (US$12.9 million), compared to an operating loss of RMB462.1 million (US$66.6 million) in 2015. Non-GAAP operating profit in 2016 was RMB611.9 million (US$88.1 million), representing a 43.1% increase from 2015. Income tax expense in 2016 was RMB147.6 million (US$21.3 million), compared to an income tax expense of RMB64.5 million (US$9.3 million) in 2015. The increase was mainly due to the impact of increased operating profit as well as certain one-off non-deductible expenses for some of the Company's subsidiaries. Net loss in 2016 was RMB291.4 million (US$42.0 million), compared to a net loss of RMB385.3 million (US$55.5 million) in 2015. Basic and diluted net loss per ADS, each representing one ordinary share, in 2016 amounted to RMB7.70 (US$1.11) and RMB7.70 (US$1.11), respectively, taking in consideration the accretion of mezzanine equity amounting to RMB205.3 million (US$29.6 million). Non-GAAP net profit in 2016 was RMB439.2 million (US$63.3 million), a 19.6% increase from 2015. Non-GAAP basic and diluted net profit per ADS in 2016 amounted to RMB3.35 (US$0.48) and RMB3.28 (US$0.47), respectively, taking in consideration the accretion of mezzanine equity amounting to RMB205.3 million (US$29.6 million). As of December 31, 2016, the Company had cash and cash equivalents, time deposit and restricted cash of RMB7.65 billion (US$1.10 billion). Cash from operating activities, cash used in investing activities, and cash from financing activities in 2016 were RMB527.4 million (US$76.0 million), RMB16.97 billion (US$2.44 billion) , and RMB15.42 billion (US$2.22 billion), respectively. Trade receivables was RMB2.07 billion (US$297.9 million) as of December 31, 2016, compared to RMB1.90 billion (US$273.6 million) as of December 31, 2015. This increase was in line with revenue growth. As of December 31, 2016, the Company's transaction services business had cash and cash equivalents and restricted cash of RMB3.72 billion (US$535.9 million), finance receivables of RMB13.98 billion (US$2.01 billion) and interest-bearing borrowings of RMB11.32 billion (US$1.63 billion). The number of employees totaled 7,620 as of December 31, 2016, including employees of the entities in which Bitauto acquired and holds controlling interests. This represented a 44.3% increase from December 31, 2015, which was primarily due to additional headcount from a recently acquired subsidiary named Kankanche which specializes in used car sales and financial services. As of December 31, 2016, the Company had a total of 70,726,025 ordinary shares, with 34,475,744 ADSs issued and outstanding. Each ADS represents one ordinary share of the Company. Non-GAAP basic and diluted per ADS figures for the fourth quarter of 2016 were calculated using a weighted average of 69,169,016 and 70,293,906 ADSs, respectively. Non-GAAP basic and diluted per ADS figures for fiscal year 2016 were calculated using a weighted average of 65,160,205 and 69,190,856 ADSs, respectively. Recent Updates - Changes of Directors and Management Bitauto announced the appointment of Mr. Andy Zhang, Bitauto's president, to the Company's board of directors, effective on March 1, 2017. Mr. Jingning Shao, vice chairman of the board of directors, has resigned from his position effective on March 1, 2017 for personal reasons. The Company recently appointed Mr. Lei Zhu as its chief technology officer. Prior to this, Mr. Zhu served as vice president and general manager of the Commercial Business Division of Didi Chuxing, responsible for commercialization strategy and product development related to automobiles, advertising, big data analytics as well as strategic alliances. Before joining Didi Chuxing, Mr. Zhu worked at Baidu from 2007 to 2012, in charge of various business functions including vertical search technology, cloud computing, and big data analytics. At Bitauto, Mr. Zhu will drive the application of big data in the Company's media and transaction services businesses. Mr. Zhu holds an MBA from Tsinghua University and a bachelor's degree in Science from Shanghai Jiao Tong University. In addition, Mr. Xiaoke Liu was appointed as Bitauto's senior vice president in charge of its media related businesses. Immediately prior to joining Bitauto, Mr. Liu served as general manager of the Auto Business Division of SINA since 2014. Previously, he held various senior positions in the online automobile industry, including at iFeng and Sohu. In his current role, Mr. Liu is responsible for Bitauto's brand, traffic, content and integration between the Company's media and transaction services businesses. Mr. Liu holds a bachelor's degree in Business Administration from the University of Luton in England. Bitauto currently expects to generate revenue in the range of RMB1.48 billion (US$213.2 million) to RMB1.53 billion (US$220.4 million) in the first quarter of 2017. This forecast takes into consideration seasonality factors in Bitauto's business, and excludes any impact of foreign currency fluctuation. It reflects management's current and preliminary view, which is subject to change. Additional Updates on the Results for the First Three Quarters of 2016 In the fourth quarter of 2016, the Company improved the operation system of its financial services platform. Benefitting from the improvement, the relevant revenue is recorded on a daily rather than monthly basis. As a result, the Company has recently determined that additional revenue of RMB11.8 million (US$1.7 million), RMB12.0 million (US$1.7 million) and RMB25.3 million (US$3.6 million) shall be recorded for the first, second and third quarter of 2016, respectively. In addition, after further review of relevant supporting documents obtained in the fourth quarter of 2016, the Company has recently determined that additional marketing expense of RMB23.0 million (US$3.3 million) shall be recorded for the third quarter of 2016. As a result, for the first, second and third quarter of 2016, net loss decreased and Non-GAAP net profit increased by RMB8.4 million (US$1.2 million), RMB8.5 million (US$1.2 million) and RMB0.7 million (US$0.1 million), respectively, compared to the previously disclosed amounts. Bitauto's management will hold an earnings conference call at 7:00 AM on March 1, 2017 U.S. Eastern Time (8:00 PM on March 1, 2017 Beijing/Hong Kong time). Dial-in details for the earnings conference call are as follows: A replay of the conference call may be accessed by phone at the following number until March 8, 2017: Additionally, a live and archived webcast of this conference call will be available at http://ir.bitauto.com. Bitauto Holdings Limited (NYSE: BITA) is a leading provider of internet content and marketing services for China's fast-growing automotive industry. Bitauto manages its businesses in three segments: its advertising and subscription business, transaction services business and digital marketing solutions business. Bitauto's advertising and subscription business offers advertising and digital marketing solutions to automakers and automobile customers in China. Bitauto provides a variety of advertising services mainly to automakers through its bitauto.com and taoche.com websites, which provide consumers with up-to-date new and used automobile pricing and promotional information, specifications, reviews and consumer feedback. Bitauto also offers subscription services via its EP platform which provides web-based and mobile-based integrated digital marketing solutions to automobile customers in China. The platform enables dealer subscribers to create their own online showrooms, list pricing and promotional information, provide dealer contact information, place advertisements and manage customer relationships to help them reach a broad set of purchase-minded customers and effectively market their automobiles to consumers online. In 2014, Bitauto began providing automobile customers with transaction services on its EP platform, including automobile transaction, CRM and online automotive financial platform services, which are intended to optimize the automobile purchase experience and facilitate completion of transactions. Bitauto's digital marketing solutions business provides automakers with one-stop digital marketing solutions, including website creation and maintenance, online public relations, online marketing campaigns and advertising. For more information, please visit ir.bitauto.com. This announcement contains forward-looking statements. These statements are made under the "safe harbor" provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates," "confident" and similar statements. Among other things, the business outlook of the Company and the quotations from management in this announcement, as well as Bitauto's strategic and operational plans, contain forward-looking statements. Bitauto may also make written or oral forward-looking statements in its periodic reports to the U.S. Securities and Exchange Commission, in its annual report to shareholders, in press releases and other written materials and in oral statements made by its officers, directors or employees to third parties. Statements that are not historical facts, including statements about Bitauto's beliefs and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties. A number of factors could cause actual results to differ materially from those contained in any forward-looking statement, including but not limited to the following: our goals and strategies; our future business development, financial condition and results of operations; the expected growth of the automobile industry and the internet marketing industry in China; our expectations regarding demand for and market acceptance of our services and service delivery model; our expectations regarding enhancing our brand recognition; our expectations regarding keeping and strengthening our relationships with major customers, partner websites and media vendors; relevant government policies and regulations relating to our businesses, automobile purchases and ownership in China; our ability to attract and retain quality employees; our ability to stay abreast of market trends and technological advances; competition in our industry in China and internationally; general economic and business conditions in China; and our ability to effectively protect our intellectual property rights and not infringe on the intellectual property rights of others. Further information regarding these and other risks is included in Bitauto's filings with the Securities and Exchange Commission, including its annual report on Form 20-F. Bitauto does not undertake any obligation to update any forward-looking statement as a result of new information, future events or otherwise, except as required under applicable law. All information provided in this press release and in the attachments is as of the date of this press release, and Bitauto undertakes no duty to update such information, except as required under applicable law. Use of Non-GAAP Financial Measures To supplement Bitauto's consolidated financial results presented in accordance with U.S. GAAP, Bitauto uses Non-GAAP operating profit, Non-GAAP net profit and Non-GAAP basic and diluted net profit per ADS as non-GAAP financial measures. Non-GAAP operating profit is defined as operating profit excluding (i) share-based payments; (ii) amortization of intangible assets resulting from asset and business acquisitions and (iii) assets write-down. Non-GAAP net profit is defined as net profit excluding (i) share-based payments; (ii) amortization of intangible assets resulting from asset and business acquisitions; (iii) assets write-down; (iv) fair value adjustment of contingent considerations; (v) share of amortization of equity investments' intangible assets not on their books; (vi) investment income associated with non-cash investment matters; and (vii) amortization of the BCF discount on the convertible notes. Non-GAAP basic and diluted net profit per ADS is defined as Non-GAAP net profit attributable to ordinary shareholders of the parent company divided by basic and diluted weighted average number of ADS. These non-GAAP financial measures provide Bitauto's management with the ability to assess its operating results by excluding certain items that may not be indicative of the performance of its business such as non-cash and non-recurring items. Bitauto believes these non-GAAP financial measures are useful to investors by understanding supplemental information used by management in its assessment of operating results. The use of non-GAAP financial measures has certain limitations. These non-GAAP measures exclude certain items that have been and will continue to be incurred in the future and are not reflected in the presentation of the non-GAAP financial measures. These non-GAAP financial measures should be considered in addition to results prepared in accordance with U.S. GAAP, and should not be considered a substitute for or superior to U.S. GAAP results. In addition, these non-GAAP financial measures may not be comparable to similarly titled measures utilized by other companies since such other companies may not calculate such measures in the same manner as Bitauto does. Reconciliation of these non-GAAP financial measures to the most directly comparable U.S. GAAP financial measure is set forth at the end of this release. For investor and media inquiries, please contact: To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/bitauto-announces-fourth-quarter-and-fiscal-year-2016-results-300415862.html


News Article | February 28, 2017
Site: www.cemag.us

It’s not enough to design new drugs. For drugs to be effective, they have to be delivered safely and intact to affected areas of the body. And drug delivery, much like drug design, is an immensely complex task. Cutting-edge research and development like that conducted at the U.S. Department of Energy’s Oak Ridge National Laboratory can help solve some of the challenges associated with drug delivery. In fact, ORNL researchers and collaborators at Wayne State University recently used a unique combination of experimentation and simulation to shed light on the design principles for improved delivery of RNA drugs, which are promising candidates in the treatment of a number of medical conditions including cancers and genetic disorders. Specifically, the research team discovered that the motions of a tRNA (or transfer RNA) model system can be enhanced when coupled with nanodiamonds, or diamond nanoparticles approximately 5 to 10 nanometers in size. Nanodiamonds are good delivery candidates due to their spherical shape, biocompatibility and low toxicity. And because their surfaces can be easily tailored to facilitate the attachment of various medicinal molecules, nanodiamonds have tremendous potential for the delivery of a vast range of therapies. The discovery involved ORNL’s Spallation Neutron Source, which provides the most intense pulsed neutron beams in the world for scientific research and industrial development, and ORNL’s Titan supercomputer, the nation’s most powerful for open science -- a one-two punch for illuminating the physical properties of potential drugs that inform new design principles for safer, improved delivery platforms. By comparing the SNS neutron scattering data with the data from the team’s molecular dynamics simulations on Titan, the researchers have confirmed that nanodiamonds enhance the dynamics of tRNA when in the presence of water. This cross-disciplinary research was profiled in Journal of Physical Chemistry B. The project began when ORNL’s P. Ganesh and Xiang-Qiang Chu of Wayne State University wondered how the water-phobic surfaces of nanoparticles alter the dynamics of biomolecules coated with water, and if it might be something that they could eventually control. They then formed a team including Gurpreet Dhindsa, Hugh O’Neill, Debsindhu Bhowmik, and Eugene Mamontov of ORNL and Liang Hong of Shanghai Jiao Tong University in China to observe the motions of hydrogen atoms from the model system, tRNA, in water using SNS’s BASIS neutron backscattering spectrometer, SNS beam line 2. Hydration is essential for biomolecules to function, and neutrons are excellent at distinguishing between the motions of hydration water molecules and the biomolecule they are surrounding. Therefore, by measuring the atoms’ neutron scattering signals, the team was able to discern the movement of tRNA in water, providing valuable insight into how the large molecule relaxes in different environmental conditions. After comparing the results of the individual atoms, it was clear that the nanodiamonds were having a profound effect on their companion RNA molecules. The results were somewhat baffling because similar experiments had demonstrated that companion solid materials (such as nanodiamonds) tended to dampen biomolecule dynamics. Surprisingly however, nanodiamonds did the opposite for tRNA. “Scientists are always interested in the bio-nano interactions,” says Chu. “While the interfacial layer of the bio-nano systems has very distinctive properties, it is very hard to study this mysterious zone without neutron scattering, which only sees hydrogen.” To realize the potential of nanodiamonds in the delivery of biomolecules using tRNA as a model, the team turned to Titan to shed a much-needed light on the underlying physics. “Molecular dynamics simulation can really tell those stories that current experimental advancement might not be able to,” says Bhowmik of ORNL’s Computational Science and Engineering Division, who set up and conducted the simulations alongside Monojoy Goswami of the laboratory’s Computer Science and Mathematics Division and Hong of Shanghai Jiao Tong University. “By combining these two techniques, you can enter a whole new world.” These simulations revealed that the “weak dynamic heterogeneity” of RNA molecules in the presence of nanodiamonds was responsible for the enhanced effect. In other words, the reactions among the nanodiamonds, water and the RNA molecule forms a water layer on the nanodiamond surface, which then blocks it and prevents strong RNA contact to the nanodiamond. Since RNA is hydrophilic, or “likes water,” the molecules on the nanodiamond surface swell with excess hydration and weaken the heterogeneous dynamics of the molecules. “You can fine-tune these dynamics with chemical functionalization on the nanodiamond surface, further enhancing its effectiveness,” says Goswami. The findings will likely guide future studies not only on the potential of nanodiamonds in drug delivery but also on fighting bacteria and treating viral diseases. Using simulation to confirm and gain insight into experiments is nothing new. But mimicking large-scale systems precisely is often a challenge, and the lack of quantitative consistency between the two disciplines makes data comparison difficult and answers more elusive to researchers. This lack of precision, and by extension lack of consistency, is largely driven by the uncertainty surrounding force-field parameters or the interaction criteria between different particles. The exact parameters are scarce for many macromolecules, often forcing researchers to use parameters that closely, but not exactly, match the experiment. Miscalculating the precision of these parameters can have major consequences for the interpretation of the experimental results. To ensure the calculations were correct, Goswami worked with Jose Borreguero and Vickie Lynch, both of ORNL’s Neutron Data Analysis and Visualization Division and Center for Accelerated Materials Modeling, to develop a workflow optimization technique known as Pegasus. This method compares molecular dynamics simulations with neutron scattering data and refines the simulation parameters to validate the results with the proper experimental precision. “Using the Pegasus workflow to run simulations sampling, the force-field parameter space saved time and eliminated input errors,” says Lynch. These parameters also helped researchers better characterize the nanodiamond-water interactions and tRNA dynamics in the presence of nanodiamonds. The researchers then developed an automated system capable of optimizing parameters across a wide spectrum of simulation systems and neutron experiments, an effort that will be of great worth to similar experiments going forward. This new workflow is also compatible with the laboratory’s Compute and Data Environment for Science (CADES), which assists experimentalists with the analysis of vast quantities of data. “Users of the CADES infrastructure can carry the optimization of the simulations within the Bellerophon Environment for the Analysis of Materials, in active development at ORNL,” says Borreguero. The Bellerophon Environment for the Analysis of Materials (BEAM) is an end-to-end workflow software system, developed at ORNL, enabling user-friendly, remote access to robust data storage and compute capabilities offered at CADES and the Oak Ridge Leadership Computing Facility, home of Titan, for scalable data analysis and modeling. It’s these in-house resources that make ORNL a world leader in experimentation, modeling, and the nexus in between and that make discoveries like this possible.


In fact, ORNL researchers and collaborators at Wayne State University recently used a unique combination of experimentation and simulation to shed light on the design principles for improved delivery of RNA drugs, which are promising candidates in the treatment of a number of medical conditions including cancers and genetic disorders. Specifically, the research team discovered that the motions of a tRNA (or transfer RNA) model system can be enhanced when coupled with nanodiamonds, or diamond nanoparticles approximately 5 to 10 nanometers in size. Nanodiamonds are good delivery candidates due to their spherical shape, biocompatibility and low toxicity. And because their surfaces can be easily tailored to facilitate the attachment of various medicinal molecules, nanodiamonds have tremendous potential for the delivery of a vast range of therapies. The discovery involved ORNL's Spallation Neutron Source, which provides the most intense pulsed neutron beams in the world for scientific research and industrial development, and ORNL's Titan supercomputer, the nation's most powerful for open science—a one-two punch for illuminating the physical properties of potential drugs that inform new design principles for safer, improved delivery platforms. By comparing the SNS neutron scattering data with the data from the team's molecular dynamics simulations on Titan, the researchers have confirmed that nanodiamonds enhance the dynamics of tRNA when in the presence of water. This cross-disciplinary research was profiled in Journal of Physical Chemistry B. The best of both worlds The project began when ORNL's P. Ganesh and Xiang-Qiang Chu of Wayne State University wondered how the water-phobic surfaces of nanoparticles alter the dynamics of biomolecules coated with water, and if it might be something that they could eventually control. They then formed a team including Gurpreet Dhindsa, Hugh O'Neill, Debsindhu Bhowmik and Eugene Mamontov of ORNL and Liang Hong of Shanghai Jiao Tong University in China to observe the motions of hydrogen atoms from the model system, tRNA, in water using SNS's BASIS neutron backscattering spectrometer, SNS beam line 2. Hydration is essential for biomolecules to function, and neutrons are excellent at distinguishing between the motions of hydration water molecules and the biomolecule they are surrounding. Therefore, by measuring the atoms' neutron scattering signals, the team was able to discern the movement of tRNA in water, providing valuable insight into how the large molecule relaxes in different environmental conditions. After comparing the results of the individual atoms, it was clear that the nanodiamonds were having a profound effect on their companion RNA molecules. The results were somewhat baffling because similar experiments had demonstrated that companion solid materials (such as nanodiamonds) tended to dampen biomolecule dynamics. Surprisingly however, nanodiamonds did the opposite for tRNA. "Scientists are always interested in the bio-nano interactions," said Chu. "While the interfacial layer of the bio-nano systems has very distinctive properties, it is very hard to study this mysterious zone without neutron scattering, which only sees hydrogen." To realize the potential of nanodiamonds in the delivery of biomolecules using tRNA as a model, the team turned to Titan to shed a much-needed light on the underlying physics. "Molecular dynamics simulation can really tell those stories that current experimental advancement might not be able to," said Bhowmik of ORNL's Computational Science and Engineering Division, who set up and conducted the simulations alongside Monojoy Goswami of the laboratory's Computer Science and Mathematics Division and Hong of Shanghai Jiao Tong University. "By combining these two techniques, you can enter a whole new world." These simulations revealed that the "weak dynamic heterogeneity" of RNA molecules in the presence of nanodiamonds was responsible for the enhanced effect. In other words, the reactions among the nanodiamonds, water and the RNA molecule forms a water layer on the nanodiamond surface, which then blocks it and prevents strong RNA contact to the nanodiamond. Since RNA is hydrophilic, or "likes water," the molecules on the nanodiamond surface swell with excess hydration and weaken the heterogeneous dynamics of the molecules. "You can fine-tune these dynamics with chemical functionalization on the nanodiamond surface, further enhancing its effectiveness," said Goswami. The findings will likely guide future studies not only on the potential of nanodiamonds in drug delivery but also on fighting bacteria and treating viral diseases. Using simulation to confirm and gain insight into experiments is nothing new. But mimicking large-scale systems precisely is often a challenge, and the lack of quantitative consistency between the two disciplines makes data comparison difficult and answers more elusive to researchers. This lack of precision, and by extension lack of consistency, is largely driven by the uncertainty surrounding force-field parameters or the interaction criteria between different particles. The exact parameters are scarce for many macromolecules, often forcing researchers to use parameters that closely, but not exactly, match the experiment. Miscalculating the precision of these parameters can have major consequences for the interpretation of the experimental results. To ensure the calculations were correct, Goswami worked with Jose Borreguero and Vickie Lynch, both of ORNL's Neutron Data Analysis and Visualization Division and Center for Accelerated Materials Modeling, to develop a workflow optimization technique known as Pegasus. This method compares molecular dynamics simulations with neutron scattering data and refines the simulation parameters to validate the results with the proper experimental precision. "Using the Pegasus workflow to run simulations sampling, the force-field parameter space saved time and eliminated input errors," said Lynch. These parameters also helped researchers better characterize the nanodiamond-water interactions and tRNA dynamics in the presence of nanodiamonds. The researchers then developed an automated system capable of optimizing parameters across a wide spectrum of simulation systems and neutron experiments, an effort that will be of great worth to similar experiments going forward. This new workflow is also compatible with the laboratory's Compute and Data Environment for Science (CADES), which assists experimentalists with the analysis of vast quantities of data. "Users of the CADES infrastructure can carry the optimization of the simulations within the Bellerophon Environment for the Analysis of Materials, in active development at ORNL," said Borreguero. The Bellerophon Environment for the Analysis of Materials (BEAM) is an end-to-end workflow software system, developed at ORNL, enabling user-friendly, remote access to robust data storage and compute capabilities offered at CADES and the Oak Ridge Leadership Computing Facility, home of Titan, for scalable data analysis and modeling. It's these in-house resources that make ORNL a world leader in experimentation, modeling and the nexus in between and that make discoveries like this possible. Explore further: High-performance simulation, neutrons uncover three classes of protein motion More information: Gurpreet K. Dhindsa et al. Enhanced Dynamics of Hydrated tRNA on Nanodiamond Surfaces: A Combined Neutron Scattering and MD Simulation Study, The Journal of Physical Chemistry B (2016). DOI: 10.1021/acs.jpcb.6b07511


SHANGHAI, Feb. 17, 2017 /PRNewswire/ -- Antai College of Economics and Management at Shanghai Jiao Tong University  took 34th place in the 2017 Global MBA Ranking by the leading business news organization Financial Times (FT) of the best 100 global programs released on Jan. 30, rising five places from last year and reconfirming its position as one of China's leading business schools. Antai is currently the only Chinese business school that has made it into all four of the FT's key rankings of the best 40 programs worldwide: 34th in the 2017 FT Global MBA Ranking, 7th in the 2016 FT Global Executive MBA Ranking, 9th in the 2016 FT Global Executive Education-Customized Ranking and 33rd in the 2016 FT Global Master in Management Ranking. Antai's MBA program remains committed to helping students in developing and executing their career path, the results of which were reflected in the core graduate career development indicators of the FT ranking. Employment rate at three months, salary increase, careers service, career progress, value for money and weighted salary at Antai ranked 1st, 2nd, 17th, 23rd, 31st and 52nd respectively. The average MBA alumni salary three years after graduation at Antai was USD 123,330, up 11 percent compared to 2016 and 32 percent compared to 2015, demonstrating that MBA alumni of Antai are being increasingly recognized by companies despite the global economic downturn. In addition to profound academic background, Antai's MBA program teachers serve as senior executives or independent directors, or lead collaborative projects with local businesses. Beyond their international outlook, they are also actively involved in understanding business at the local level. The FT ranking confirmed Antai's steady improvement in their academic indicators, with 92 percent of the teachers having doctoral degrees, and PhD graduates number taking second place for this ranking. Antai has been committed to globalization for years, proven by the increasing proportion of international students in its programs. In this ranking, international course experience was 27th globally. Antai's MBA program, a combination of overseas study tours, international exchange and dual-degree courses, is further enriched by the abundant international educational resources. Nearly 80 percent of its students have opportunities to study overseas. As Mainland China's first business school with the three most influential business school accreditations -- AACSB, AMBA and EQUIS -- Antai has demonstrated its leadership in terms of global authoritative rankings, Shanghai Jiao Tong University's business and management studies placed 43rd in the 2016 QS World university rankings by subject, with four of its management-related subjects listed among the world's top 100.

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