Islamabad, Pakistan
Islamabad, Pakistan

The Foundation University, Islamabad , is a private university located in Islamabad, Pakistan. It has three additional campuses in Rawalpindi, Punjab, Pakistan.The university offers undergraduate, post-graduate, and doctoral studies in medical science, humanities, fine arts, philosophy, law and various registered academic programmes. Its primary financial endowment and funding are sponsored by the Fauji Foundation, run under the auspicious of Pakistan Army.FUI has been established as a private sector university, sponsored by the Fauji Foundation which is the largest welfare organization in the country. FUI was granted its charter by the Federal Government vide Ordinance No. LXXXVIII of 2002.In a university category list issued by the Higher Education Commission in 2005, Foundation University was placed in the "A" category, along with other top ranking universities of Pakistan such as LUMS, NUST. According to the latest ranking of HEC, Foundation University has been placed in the highest W-4 category. Wikipedia.

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Foundation University | Date: 2017-03-29

This invention provides a pharmaceutical composition comprising a compound of formula S-(I):

The present invention relates to an electrode having a multilayer nanomesh structure using single-crystalline copper and a method for manufacturing same, the electrode comprising: a substrate; a single-crystalline copper electrode layer formed on the substrate and having a hive-shaped pattern with a nano-sized line width; and a metal oxide layer formed on the single-crystalline copper electrode layer, this providing an electrode having excellent optical transmittance, low electrical sheet resistance, and excellent mechanical stability. The present invention is technically characterized by an electrode having a multilayer nanomesh structure using single-crystalline copper, the electrode comprising: a substrate; a single-crystalline copper electrode layer formed on the substrate and having a hive-shaped pattern with a nano-sized line width; and a metal oxide layer formed on the single-crystalline copper electrode layer.

Agency: NSF | Branch: Continuing grant | Program: | Phase: ALLIANCES-MINORITY PARTICIPAT. | Award Amount: 799.05K | Year: 2016

The Louis Stokes Alliances for Minority Participation (LSAMP) program assists universities and colleges in diversifying the science, technology, engineering and mathematics (STEM) workforce through their efforts at significantly increasing the numbers of students from historically underrepresented minority populations to successfully complete high quality degree programs in STEM.
The Peach State Louis Stokes Alliance for Minority Participation (Peach State LSAMP) composed of the University of Georgia (lead institution), Fort Valley State University, Georgia Institute of Technology, Kennesaw State University System, and Savannah State University aims to:
- Increase enrollment of historically underrepresented minority students in STEM disciplines;
- Increase baccalaureate degrees obtained by this population of students in STEM disciplines;
- Increase the transfer of Georgia Perimeter College alliance students to 4-year institutions;
- Increase the number of LSAMP students who participate in research/internships;
- Increase the number of LSAMP students who pursue graduate degrees in STEM; and,
- Partner with Education Research team to conduct research on the Peach State LSAMP.

The primary focus of Peach State LSAMP is to ensure student success in completing undergraduate and graduate degrees in STEM disciplines. Interventions are primed for a more intentional focus on LSAMP students pursuing and completing graduate school. Hence, the proposed activities will focus more on preparing more Peach State LSAMP funded students for graduate school in STEM disciplines. The Peach State LSAMP program is comprehensive and designed to enhance academic and research outcomes including well-prepared underrepresented minority students in STEM disciplines equipped for success in graduate school, engaging mentoring and research
student retention models, and a sound and rigorous evaluation plan. The program will leverage its institutional research infrastructure and its partnerships with other academic institutions and local industries to facilitate successful transitions of minority students in STEM fields.

Alliance program evaluation findings assessing the effectiveness of the Peach State LSAMP strategies will be shared with the education community to build the knowledge base and foster implementation of best practices. In addition, the project includes an exploratory study to investigate the fidelity of its community college transfer bridge program. The study has the potential to determine if and why this intervention is effective and contribute to other in-depth research studies on the impact of this STEM pathway.

The best practices implemented in this project will have transferable values for STEM activities in other institutions in the nation. It will also create an environment in which the outcomes achieved will be sustainable after the project comes to an end. Peach State LSAMP will not only increase the number of successful students completing degrees in STEM disciplines, but is also committed to creating a more diverse and competitive STEM workforce in Georgia and beyond.

Agency: NSF | Branch: Standard Grant | Program: | Phase: COMMS, CIRCUITS & SENS SYS | Award Amount: 500.00K | Year: 2017

Radio frequency (RF) spectrum is a valuable resource that, if effectively utilized, can boost economic growth, improve our quality of life, and enhance public safety. However, due to growing demand on wireless services, the RF spectrum is becoming overcrowded. Although the spectrum seems to be fully occupied by all kinds of wireless systems, there are many frequencies not actively used and can be dynamically allocated for other users. However, this is challenging even for state-of-the-art electronics, as the search for unused frequencies requires vast amount of computational resources and sophisticated hardware. This proposal aims to overcome this challenge by making use of photonics--an alternative signal processing method that has wider bandwidth and faster speed than its counterpart in electronics. With the proposed photonics techniques, the radio frequency signal is first converted to an optical signal, which can then be processed almost instantaneously. The research effort of this project will be devoted to the fast discovery and efficient use of spectrum resources. This project also proposes a comprehensive education plan closely related to the research effort. It includes developing mobile apps for learning fiber optics, organizing a fiber optics workshop for the local community, developing undergraduate freshman seminar and cross-disciplinary courses, as well as providing research experiences for high school and undergraduate students, especially those from underrepresented groups. The improvement in spectrum usage will benefit many vital wireless services for the society, including mobile communications, remote healthcare, distant learning, and mobile computing.

To accommodate the increasing usage of wireless devices, a more effective way to search, find, use, and share the radio frequency spectrum is necessary. The focus of this research is to fundamentally change how spectrum resources can be quickly discovered and used effectively through photonics techniques. Two closely related research themes are proposed: (i) developing a real-time Scan-and-Find RF spectrum scanning system based on a tunable/reconfigurable multiband RF filter, and (ii) improving spectrum usage efficiency based on photonics-enabled frequency reuse in simultaneous transmission and reception of signals as well as bio-inspired automatic interference avoidance. The RF spectrum scanning system exploits the ultrafast optical tuning and switching capability of a uniquely designed RF multiband filter as well as the instantaneous response of existing optical devices. The simultaneous transmission and reception of signals is enabled by an ultra-wideband self-interference cancellation system. Furthermore, a novel automatic interference avoidance technique will be explored. It is inspired by an analogy in biology--jamming avoidance response in Eigenmannia, a genus of electric fish. This proposal presents a comprehensive, interdisciplinary, and innovative approach to solve the spectrum scarcity problem while improving spectrum usage efficiency in wireless communications. The proposed research involves a close coupling of system design and experimental validation, and thus will yield laboratory prototypes to demonstrate more effective usage of the radio spectrum.

Agency: NSF | Branch: Continuing grant | Program: | Phase: BM Gates Foundation | Award Amount: 741.83K | Year: 2016

Finger millet is a grain crop of strategic importance to food security in Eastern Africa. The grain has high nutritional value, can grow in arid environments and thus is important to the livelihood of smallholder farmers. A major agricultural goal in the region is to develop higher yielding varieties of finger millet through reducing or eliminating diseases that impact growth of the plant. Blast fungus is a pathogen that reduces yield up to 80% and is one of the main diseases affecting finger millet. To understand how to control disease outbreaks, this project uses genomic sequencing as a powerful approach to identify precise strains of the fungus and to study how the fungus causes disease symptoms in the plant. Sequence analyses of blast strains collected in Kenya, Tanzania, Uganda and Ethiopia will provide information on the genetic diversity of the pathogen in Eastern Africa, and provide a resource to identify the factors that are responsible for infection of finger millet. The knowledge from this approach is essential to develop efficient disease management strategies. Furthermore, sequence analyses of the finger millet host will clarify why some cultivars are more resistant to blast than others. The generated resources will also be used as a vehicle to train undergraduate and graduate students in Eastern Africa in bioinformatics, an expertise that is essential to translate the information to improve breeding strategies.

The specific aims of the project are to (1) Generate 80X PacBio sequence for the allotetraploid finger millet genome (1C=1.8 Gb) to generate a high quality genome assembly (1C=1.8 Gb); (2) Resequence 200 Eastern African isolates of the finger millet blast fungus Magnaporthe oryzae, including 24 that were collected 10 years ago, to determine the diversity and evolution of this finger millet pathogen both over time and across geographic regions. The blast genome sequences will be mined to identify candidate effector genes using an effector prediction pipeline that incorporates common characteristics of known effectors (secretion and high polymorphism levels;(3) Analyze the blast-finger millet interaction transcriptome using RNA-Seq to identify genes that are induced at early stages of infection. Genes encoding secreted proteins will be identified from the RNA-Seq experiment and cross-referenced to those identified using the effector prediction pipeline. Host genes that are differentially expressed will be compared between compatible and incompatible interactions, and with genes that are differentially expressed during early stages of blast infection in rice, and(4) Develop a nested association mapping panel of some 4000 RILs derived from 21 diverse parents using a double round robin design. This population will represent the first mapping resource that captures substantial diversity present in finger millet germplasm and has a high quantitative trait loci detection power.

Agency: Department of Defense | Branch: Missile Defense Agency | Program: STTR | Phase: Phase II | Award Amount: 998.04K | Year: 2016

Thermally induced fatigue and residual stress introduced during fabrication are sources of failure in microelectronics, which raises reliability concerns for MDA and its system integrators. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a physics based modeling and testing protocol to correlate material properties and thermal loading conditions to stress related failure. Specific outcomes include; (a) experimental evaluation of adhesive bond performance under thermal stress conditions, (b) development and application of a testing protocol to quantify the coefficient of thermal expansion (CTE) mismatch necessary to elevate stress to cause degradation, (c) physics based models to simulate thermo-mechanical stress between bonded components, and (d) a fine scaled physics based damage model to relate thermo-mechanical stress to damage progression. This effort includes the development of the test and modeling protocols, generation of data to parameterize models and application of the models to the study of thermal fatigue in adhesive bonded components. The end use of the modeling and testing protocol is to extract design rules and materials selection guidelines to allow MDA and its prime contractors to mitigate component failures related to CTE mismatch through improved designs and materials selection and with reduced long-duration cyclic testing.

Agency: NSF | Branch: Standard Grant | Program: | Phase: PHYSICAL OCEANOGRAPHY | Award Amount: 1.22M | Year: 2016

Recent unusual conditions along the U.S. East Coast have dramatically demonstrated the importance of understanding the dynamics controlling shelf-deep ocean exchange at the confluence of the North Atlantic gyres near Cape Hatteras. Atypical Gulf Stream position, air-sea heat flux, extremes in ocean temperature, and sea level rise are potential harbingers of larger shifts in atmospheric and oceanic forcing. Effects on shelf-deep ocean exchange are unknown due to incomplete dynamical understanding of the present. Development of predictive capacity is particularly relevant at this time, as oil and gas exploration is being planned. The understanding of shelf-deep ocean exchange gained through this project will be applicable to other regions where shelf and basin-scale currents converge and could improve our capacity to anticipate the response of the coastal ocean to climate change in the coming decades. In addition to the physical interactions between scales and oceanic regions, the relevance of exported shelf waters at Cape Hatteras to global carbon budgets may be large, and is difficult to quantify due to carbon budget mediation by biological ecosystems that vary with season and water mass. Both ecosystems and export processes may change under predicted climatic shifts, so understanding export processes has broad biogeochemical importance. Collaborations with biogeochemists and ecologists will be pursued to utilize the data to study ecosystems in this area of high biological diversity that is home to many commercially important species. Insights gained through the project will also improve mitigation of pollutant spills. The outreach and educational efforts include a public exhibit and talks, opportunities for joining science cruises and participation in the Society of Women Engineers Girls Engineer It! Day, a daylong event for girls in grades 6-12, and the Wood Hole Oceanographic Institutions summer program for undergraduates from underrepresented groups. The project will support two early career scientists, train one postdoctoral researcher and four graduate students, and give undergraduate students hands-on experience in the operation of the autonomous gliders.

Subtropical and subpolar oceanic gyre boundaries are characterized by confluent western boundary currents and convergence in the adjacent shelf and slope waters. Together, they lead to large net export of shelf waters to the deep ocean, and complex, bidirectional shelf-deep ocean exchange, in response to strong forcing typical of mid-latitude western ocean margins. Shelf-deep ocean exchange processes at such dynamic sites remain poorly understood, due in part to the technical challenge of resolving broad ranges of relevant spatial and temporal scales. The understanding gained by investigating the wide seasonal range of parameter space will facilitate exploration of how shelf circulation and shelf-open ocean exchange may evolve due to observed and projected long-term shifts in regional and basin-scale circulation, hydrography, and atmospheric forcing. This project will deploy fixed, mobile, and remote observational platforms in combination with idealized and realistic numerical simulations to investigate exchange processes near Cape Hatteras. The sampling array will provide an observational data set with unprecedented temporal and spatial resolution in a region of large episodic export and exchange. These observations will be used to identify dominant exchange processes; correlate them with observed forcing; define ranges of forcing and shelf response; verify parallel developments within the realistic model framework; and establish causation through detailed assessment of momentum and vorticity balances, integrating observational and validated model products. In addition to physical data, the autonomous gliders will also collect chlorophyll fluorescence, oxygen saturation, and acoustic backscatter data that are of direct relevance to biogeochemical properties exported from the shelf to the deep ocean. These non-physical data will be used as water mass tracers and to portray the structure of the chlorophyll-a and dissolved oxygen at unprecedented resolution.

Agency: NSF | Branch: Standard Grant | Program: | Phase: Accelerating Innovation Rsrch | Award Amount: 200.00K | Year: 2017

This Accelerating Innovation Research Technology Translation project focuses on translating a novel biosensor technology into a proof-of-concept for an early stage prototype for direct screening of vegetative crop diseases. The innovation addresses an important and unmet need in the agricultural industry, as there is no early crop disease detection tool presently available in the market. The technology focuses on the development of an enzyme based electro-chemical biosensor for highly selective, ultra-low level detection of volatile markers released by plants during pathogen infections. Currently used methods for disease detection in agricultural crops are time consuming, destructive, demand skilled analysts, and do not offer real time monitoring or on-field deployment possibilities. A rapid, real-time, non-destructive, ex-situ method for early detection of infections will help crop producers to locate and contain the infection, prevent the spread of disease, spray chemicals selectively and timely and hence avoid colossal crop damage. The proposed technology could fundamentally transform the approach towards disease management and precision agriculture.

This project addresses the following technology gap(s) as it translates from fundamental discovery to a proof-of-concept an early stage prototype: (1) Development of paper based sensor strips using ink-jet printing with multilayered biosensor platform. (2) Testing and evaluating paper based sensor strips using real volatile organic compounds released by diseased plants. In addition, the project will provide entrepreneurship and technology transition training to a post-doctoral research assistant.

Vercauteren F.,Foundation University
IEEE Transactions on Information Theory | Year: 2010

In this paper, we introduce the concept of an optimal pairing, which by definition can be computed using only log2 r/φ (k) basic Miller iterations, with r the order of the groups involved and k the embedding degree. We describe an algorithm to construct optimal ate pairings on all parametrized families of pairing friendly elliptic curves. Finally, we conjecture that any nondegenerate pairing on an elliptic curve without efficiently computable endomorphisms different from powers of Frobenius requires at least log 2 r/φ(k) basic Miller iterations. © 2009 IEEE.

Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FCT-16-2015 | Award Amount: 4.46M | Year: 2016

PROTON aims at improving existing knowledge on the processes of recruitment to organised crime and terrorist networks (OCTN) through an innovative integration between social and computational sciences. Moving beyond the state of the art, this integration will support evidence-based policies at the international, national and local level. To achieve its aim, PROTON will complete three specific objectives: 1. Investigate the social, psychological and economic factors leading to OCTN (WP1 and 2), including their connection with cybercrime and the cyberspace (WP3). The factors will be transformed into input (WP4) for PROTONs final outputs, PROTON-S and PROTON Wizard (WP5), designed for helping policy makers to act more effectively against OCTN. 2. Develop PROTON-S, agent-based modelling (ABM) simulations of the effects of different societal and environmental changes on OCTN. PROTON-S will generate virtual societies in a computer laboratory, enabling to test the impact of different scenarios on the evolution of, and particularly individuals recruitment to, OCTN. 3. Develop PROTON Wizard, a user-friendly software tool embedding the results of the ABM simulations. PROTONs impact will improve the quality of prevention policies on OCTN, providing at the same time significant innovations in the social, technological and computational sciences. PROTON-S, based on simulations, will bear no ethical and societal risks, and will create a breakthrough in the understanding of OCTN, enabling better policies and stimulating further innovation. PROTON Wizard will provide the first support tool for policy makers at the international, national and local level, giving easy access to the most advanced scientific research. The participation of different policy makers and potential end-users throughout the whole project will make sure that the final results specifically meet their needs and expectations.

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