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7,700 result(s) for "C Group"
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نظرية الزمر للكيميائيين : الأسس النظرية والتطبيقات
يتناول كتاب (نظرية الزمر للكيميائيين : الأسس النظرية والتطبيقات) والذي قامت بتأليفه (كيران س. مولوي) في حوالي (352) صفحة من القطع المتوسط موضوع (نظرية الزمر) مستعرضا المحتويات التالية : الباب الأول : التماثل والمجموعات، الباب الثاني : تطبيق نظرية الزمر في الطيف الاهتزازي، الباب الثالث : تطبيق نظرية الزمر في البناء والربط، الباب الرابع : تطبيق نظرية الزمر في الطيف الإلكتروني، ثم ينتهي الكتاب بالملاحق.
Vitamin B Complex Deficiency After Roux-en-Y Gastric Bypass and Sleeve Gastrectomy—a Systematic Review and Meta-Analysis
Bariatric surgery, although an effective method, still has complications, like nutritional deficiencies. Our aim was to summarize the evidence on the frequency of complex B vitamin deficiencies in studies comparing Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG). We included 25 studies for qualitative synthesis and 21 studies for quantitative synthesis. Relevant data was extracted, including proportion of patients with deficiency and mean serum vitamin values in 3 different timeframes. B12 and folate were the most prevalent deficiencies. B12 deficiency was more common after RYGB and folate serum mean levels were higher after RYGB. SG causes less nutrient deficiency and is therefore a better technique from this point of view. More studies are needed on B2, B3, and B6 vitamins to draw better conclusions. Graphical abstract
One day at Disney : meet the people who make the magic across the globe
On a Thursday in 2019, photographers and videographers in locations across the globe captured what goes on in the Disney empire. All the photos in the book were taken on that one day, beginning early in Tokyo and following the sun around the world through Shanghai, Hong Kong, Paris, Madrid, the Bahamas, Costa Rica, and dozens of places throughout the United States, ending in Hawaii. The photographs and text in this large volume cover actors, anchors, designers, hosts, artists, theme park employees, executives and more.
Developing a coastal analysis system: the Guyana coastal analysis system (G-CAS) as an example for small island developing states (SIDS)
Small Island Developing States (SIDS) face significant challenges due to coastal hazards, climate change impacts, and data limitations that hinder effective coastal management. The Guyana Coastal Analysis System (G-CAS) was developed as a web-based geospatial tool to address these challenges by integrating remote sensing, machine learning, and cloud computing technologies. This study presents G-CAS as a replicable framework that enhances coastal monitoring and decision-making processes in Guyana and similar SIDS. The system consists of four core analytical modules: Shoreline Analysis, Coastal Squeeze Assessment, Bathymetric Change Detection, and Flood Detection and Modelling. These modules provide near real-time, data-driven insights into shoreline erosion, wetland compression, underwater depth variations, and flood risk exposure. Results from the application of the Shoreline Analysis module indicate spatially variable shoreline retreat rates, with critically eroded sections requiring urgent intervention. The Coastal Squeeze Assessment highlights areas where infrastructure restricts landward migration, increasing vulnerability to habitat loss. Bathymetric mapping reveals dynamic sediment transport patterns, essential for understanding coastal stability and marine ecosystem health. The Flood Detection and Modelling module assists in identifying high-risk zones, particularly in low-lying coastal settlements, supporting early warning systems and disaster mitigation planning. The offering of a cost-effective, scalable, and accessible coastal monitoring tool like G-CAS provides a data-driven foundation for coastal adaptation strategies in Guyana and beyond. The findings show the importance of integrating geospatial technologies into national coastal management frameworks to support climate resilience, disaster risk reduction, and sustainable development. This study highlights the potential for similar coastal analysis systems to be adopted across SIDS, ensuring evidence-based decision-making and enhanced environmental stewardship in response to climate change.
Prompt gamma imaging in proton therapy - status, challenges and developments
This paper is an overview of the field of proton therapy monitoring in real time using prompt gamma radiation. Different approaches providing either integrated or differential information are described, and their maturity, limitations and clinical usefulness are discussed. In the second part, the SiFi-CC project is briefly introduced, which aims at the development of a Compton camera for prompt gamma imaging, entirely based on fibres made of a heavy, inorganic scintillator read out by silicon photomultipliers. This compact solution offers very good timing properties, high granularity and a modern data acquisition system, addressing previously identified issues.
The NOvA software testing framework
The NOvA experiment at Fermilab is a long-baseline neutrino experiment designed to study v appearance in a vμ beam. NOvA has already produced more than one million Monte Carlo and detector generated files amounting to more than 1 PB in size. This data is divided between a number of parallel streams such as far and near detector beam spills, cosmic ray backgrounds, a number of data-driven triggers and over 20 different Monte Carlo configurations. Each of these data streams must be processed through the appropriate steps of the rapidly evolving, multi-tiered, interdependent NOvA software framework. In total there are greater than 12 individual software tiers, each of which performs a different function and can be configured differently depending on the input stream. In order to regularly test and validate that all of these software stages are working correctly NOvA has designed a powerful, modular testing framework that enables detailed validation and benchmarking to be performed in a fast, efficient and accessible way with minimal expert knowledge. The core of this system is a novel series of python modules which wrap, monitor and handle the underlying C++ software framework and then report the results to a slick front-end web-based interface. This interface utilises modern, cross-platform, visualisation libraries to render the test results in a meaningful way. They are fast and flexible, allowing for the easy addition of new tests and datasets. In total upwards of 14 individual streams are regularly tested amounting to over 70 individual software processes, producing over 25 GB of output files. The rigour enforced through this flexible testing framework enables NOvA to rapidly verify configurations, results and software and thus ensure that data is available for physics analysis in a timely and robust manner.
Ngaa-bi-nya-nhumi-nya (to Test First): Piloting the Feasibility of Using the Growth and Empowerment Measure with Aboriginal Pregnant Women Who Smoke
Introduction. Aboriginal pregnant women who smoke experience barriers to quitting, including challenges to social and emotional well-being, but these are infrequently quantified. Finding an appropriate measurement tool in this setting is crucial to increase knowledge for holistic smoking cessation interventions. Aims. To pilot the Growth and Empowerment Measure (GEM) with a sample of pregnant Aboriginal women who smoke. Methods. Aboriginal women participating in the step-wedge ICAN QUIT in Pregnancy pilot study completed the GEM comprised of 14-item Emotional Empowerment Scale (EES14), 12 Scenarios (12S), and K6 items at baseline, 4 weeks, and 12 weeks. Qualitative interviews with service staff were held at the end of the study to assess feasibility. Results. 15 pregnant Aboriginal women took part between November 2016 and July 2017. At 12 weeks, n=8/12 (67%) of women reported an increase in both the EES14 and 12S scores. Total 12S scores were significantly higher at 12 weeks (p=0.0186). Total K6 had a nonsignificant trend for reduction (p=0.0547). Staff reported that the length of the survey presents challenges in this setting. Conclusions. A shortened, modified GEM is recommended in this setting. We recommend the GEM to be tested in a larger study, powered to assess its associations with smoking behaviours.
Quality Indicators and Outcomes in a Prospective Cohort of Colorectal Cancer Patients
Background Some quality indicators of proper health care in patients with colorectal cancer have been established. Aims Our goal was to evaluate the relationship between performing of certain procedures or treatments, included as quality indicators, and some outcomes of indicators in the follow-up of colorectal cancer patients. Methods This was a prospective cohort study of patients diagnosed with colorectal cancer that underwent surgery and were followed at 1, 2, 3, and 5 years. CT scanning, colonoscopy, chemotherapy, and radiotherapy were evaluated in relation to various clinical outcomes and PROM changes over 5 years. Multivariable generalized linear mixed models were used to evaluate their effect on mortality, complications, recurrence, and PROM changes (HAD, EQ-5D, EORTC-Q30) at the next follow-up. Results CT scanning or colonoscopy was related to a decrease in the risk of dying, while chemotherapy at a specified moment was related to an increased risk. In the case of recurrence, CT scanning and chemotherapy showed statistically increased the risk, while all the procedures and treatments influenced complications. Regarding PROM scales, CT scanning, colonoscopy, and radiotherapy showed statistically significant results with respect to an increase in anxiety and decrease in quality of life measured by the EORTC. However, undergoing radiotherapy at a specified moment increased depression levels, and overall, receiving radiotherapy decreased the quality of life of the patients, as measured by the EuroQol-5d. Conclusions After adjustment for sociodemographic factors, comorbidities, and severity of the disease, performing certain quality indicators of proper health care in patients with colorectal cancer was related to less mortality but higher adverse outcomes. Trial Registration ClinicalTrials.gov Identifier: NCT02488161.