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Onestop IT has strategically evolved with the industry thanks to the seamless ConnectWise solutions. The powerful combination of ConnectWise and LabTech has helped Onestop IT keep up with the constantly evolving industry. The company used automation and newly gained access to business metrics to increase their overall efficiency, setting up the environment for 20% growth within one year of implementation.


Celik I.H.,Teaching Hospital | Demirel G.,Teaching Hospital | Sukhachev D.,LabTech Ltd. | Erdeve O.,Teaching Hospital | And 2 more authors.
International Journal of Laboratory Hematology | Year: 2013

Introduction: Neonatal sepsis remains an important clinical syndrome despite advances in neonatology. Current hematology analyzers can determine cell volume (V), conductivity for internal composition of cell (C) and light scatter for cytoplasmic granularity and nuclear structure (S), and standard deviations which are effective in the diagnosis of sepsis. Statistical models can be used to strengthen the diagnosis. Effective modeling of molecular activity (EMMA) uses combinatorial algorithm of the selection parameters for regression equation based on modified stepwise procedure. It allows obtaining different regression models with different combinations of parameters. Methods: We investigated these parameters in screening of neonatal sepsis. We used LH780 hematological analyzer (Beckman Coulter, Fullerton, CA, USA). We combined these parameters with interleukin-6 (IL-6) and C-reactive protein (CRP) and developed models by EMMA. Results: A total of 304 newborns, 76 proven sepsis, 130 clinical sepsis and 98 controls, were enrolled in the study. Mean neutrophil volume (MNV) and volume distribution width (VDW) were higher in both proven and clinical sepsis groups. We developed three models using MNV, VDW, IL-6, and CRP. These models gave more sensitivity and specificity than the usage of each marker alone. Conclusions: We suggest to use the combination of MNV and VDW with markers such as CRP and IL-6, and use diagnostic models created by EMMA. © 2012 Blackwell Publishing Ltd.


Sharma P.,Jawaharlal Institute of Postgraduate Medical Education & Research | Bhargava M.,Sir Ganga Ram Hospital | Sukhachev D.,LabTech Ltd | Datta S.,Sir Ganga Ram Hospital | Wattal C.,Sir Ganga Ram Hospital
International Journal of Laboratory Hematology | Year: 2014

Introduction: Tropical febrile illnesses such as malaria and dengue are challenging to differentiate clinically. Automated cellular indices from hematology analyzers may afford a preliminary rapid distinction. Methods: Blood count and VCS parameters from 114 malaria patients, 105 dengue patients, and 105 febrile controls without dengue or malaria were analyzed. Statistical discriminant functions were generated, and their diagnostic performances were assessed by ROC curve analysis. Results: Three statistical functions were generated: (i) malaria-vs.-controls factor incorporating platelet count and standard deviations of lymphocyte volume and conductivity that identified malaria with 90.4% sensitivity, 88.6% specificity; (ii) dengue-vs.-controls factor incorporating platelet count, lymphocyte percentage and standard deviation of lymphocyte conductivity that identified dengue with 81.0% sensitivity and 77.1% specificity; and (iii) febrile-controls-vs.-malaria/dengue factor incorporating mean corpuscular hemoglobin concentration, neutrophil percentage, mean lymphocyte and monocyte volumes, and standard deviation of monocyte volume that distinguished malaria and dengue from other febrile illnesses with 85.1% sensitivity and 91.4% specificity. Conclusions: Leukocyte abnormalities quantitated by automated analyzers successfully identified malaria and dengue and distinguished them from other fevers. These economic discriminant functions can be rapidly calculated by analyzer software programs to generate electronic flags to trigger-specific testing. They could potentially transform diagnostic approaches to tropical febrile illnesses in cost-constrained settings. © 2013 John Wiley & Sons Ltd.


PubMed | LabTech Ltd., Jawaharlal Institute of Postgraduate Medical Education & Research and Sir Ganga Ram Hospital
Type: Journal Article | Journal: International journal of laboratory hematology | Year: 2015

Tropical febrile illnesses such as malaria and dengue are challenging to differentiate clinically. Automated cellular indices from hematology analyzers may afford a preliminary rapid distinction.Blood count and VCS parameters from 114 malaria patients, 105 dengue patients, and 105 febrile controls without dengue or malaria were analyzed. Statistical discriminant functions were generated, and their diagnostic performances were assessed by ROC curve analysis.Three statistical functions were generated: (i) malaria-vs.-controls factor incorporating platelet count and standard deviations of lymphocyte volume and conductivity that identified malaria with 90.4% sensitivity, 88.6% specificity; (ii) dengue-vs.-controls factor incorporating platelet count, lymphocyte percentage and standard deviation of lymphocyte conductivity that identified dengue with 81.0% sensitivity and 77.1% specificity; and (iii) febrile-controls-vs.-malaria/dengue factor incorporating mean corpuscular hemoglobin concentration, neutrophil percentage, mean lymphocyte and monocyte volumes, and standard deviation of monocyte volume that distinguished malaria and dengue from other febrile illnesses with 85.1% sensitivity and 91.4% specificity.Leukocyte abnormalities quantitated by automated analyzers successfully identified malaria and dengue and distinguished them from other fevers. These economic discriminant functions can be rapidly calculated by analyzer software programs to generate electronic flags to trigger-specific testing. They could potentially transform diagnostic approaches to tropical febrile illnesses in cost-constrained settings.


Sousa T.,National Laboratory of Energy and Geology | Fernandes V.R.,National Laboratory of Energy and Geology | Pinto P.J.R.,National Laboratory of Energy and Geology | Slavkov Y.,Labtech Ltd | And 2 more authors.
Chemical Engineering Science | Year: 2012

Ruthenium on nickel-foam catalyst was prepared for hydrogen production from the hydrolysis reaction of an alkaline NaBH 4 solution. Experiments were carried out at five temperatures (30, 40, 45, 50 and 60°C) in a 0.1dm 3 small batch reactor. To understand the kinetic behaviour of the hydrolysis reaction in the presence of this catalyst, the experimental data were fitted to three kinetic models (zero-order, first-order and Langmuir-Hinshelwood) using the integral method. Results showed that Langmuir-Hinshelwood model described fairly well the reaction for all tested temperatures and for the entire time range. Zero-order could be applied only at low temperatures or until the concentration of NaBH 4 remained high in the solution; first-order could be only applied efficiently at 60°C.In addition to the kinetic study, a dynamic, three dimensional and non-isothermal model was developed to describe a pilot scale reactor for stationary use. The experimental data was used to validate the numerical model which was developed using a commercial solver software. All relevant transport phenomena were treated in detail and the kinetic model developed previously was introduced into the algorithm. Results showed that the reaction rate was extremely affected by the mass transport resistance of sodium borohydride from the bulk to the catalyst surface. © 2012 Elsevier Ltd.


The present disclosure is directed to systems and methods of managing remote devices. The system can include a server with memory, a detection module, and a collection module. The memory can store a management information base (MIB) having a hierarchical tree of object identifiers and corresponding object values. The detection module can query devices and receive a first object identifier and its first object value, which can vary from those in the MIB; and use patterns to match the first object identifier and object value; and generate an identification of the device from the matches. The collection module can use the identification to select a collection template, which can indicate a subtree of the MIB and a collection pattern; traverse the subtree and identify a second object identifier that matches the collection pattern, and its second object value; and associate the second object value with the first object value.


Systems and methods of the present disclosure facilitate updating the translation provided by one or more name servers from symbolic names to network addresses. In some embodiments, the system includes one or more remote devices, a management server, a configuration module, a detection module, and/or an update module. The management server may be configured to monitor and manage the remote device, which may be provided with network addresses by one or more address provisioning servers. Responsive to the detection module detecting a change in the network address of a remote device, the update module may update one or more name servers using an update program that includes templates for a control file, authentication information, and/or a template obtained from the management server. The detection and update modules can execute on remote devices or on the address provisioning server, and can be installed and configured automatically by the management server.


Embodiments of systems and methods for providing access to a server by remote devices are shown. In some embodiments, the system includes a scheduling module, a connection module, and/or a timer module. The scheduling module may compute a timer period and timer offset for each remote device on the server to facilitate evenly distributing connections by remote devices and avoid exceeding the maximum bandwidth of the communication channel. The connection module may initiate a connection from each remote device to the server to retrieve the timer period and timer offset. The timer module on each remote device may be controlled by the timer period and timer offset, and trigger the initiation of the connection module. A remote devices status may be offline if the initiation of the connection falls outside a tolerance window corresponding to the timer period and timer offset.

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