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Significance of including lid thickness and particle shape factor in numerical modeling for prediction of particle trap efficiency of invert trap

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Water Science and Engineering 2024年第2期17卷 166-176页

作者： Salman Beg Deo Raj kaushal Department of Civil Engineering Indian Institute of Technology DelhiNew Delhi 110016India

Sediment accumulation on the bed of open sewers and drains reduces hydraulic efficiency and can cause localized *** invert traps installed underneath the bed of open sewers and drains can eliminate sediment build-up by catching sediment *** three-dimensional(3D)computational studies have examined the particle trapping performance of invert traps of different shapes and depths under varied sediment and flow conditions,considering particles as *** two-dimensional and 3D numerical modeling,researchers assumed the lid geometry to be a thin line and a plane,*** this 3D numerical study,the particle trapping efficiency of a slotted irregular hexagonal invert trap fitted at the flume bottom was examined by incorporating the particle shape factor of non-spherical sewage solid particles and the thicknesses of upstream and downstream lids over the trap in the discrete phase model of the ANSYS Fluent 2020 R1 *** volume of fluid(VOF)and the realizable k-turbulence models were used to predict the velocity *** two-dimensional particle image velocimetry(PIV)was used to measure the velocity field inside the invert *** results showed that the thicknesses of upstream and downstream lids affected the velocity field and turbulent kinetic energy at all flow *** joint impact of the particle shape factor and lid thickness on the trap efficiency was *** both the lid thickness and particle shape factor were considered in the numerical modeling,trap efficiencies were underestimated,with relative errors of-8.66%to-0.65%in comparison to the experimental values of Mohsin and kaushal(2017).They were also lower than the values predicted by Mohsin and kaushal(2017),which showed an overall overestimation with errors of-2.3%to 17.4%.

关键词： Invert trap Lid thickness Particle image velocimetry Particle shape factor Turbulent kinetic energy Scanning electron microscope

Laparoscopic right radical hemicolectomy: Central vascular ligation and complete mesocolon excision vs D3 lymphadenectomy - How I do it?

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World Journal of Gastrointestinal Surgery 2024年第6期16卷 1521-1526页

作者： kaushal Yadav Department of Surgical Oncology Max HospitalGurugram 122001HaryanaIndia

In colon cancer surgery,ensuring the complete removal of the primary tumor and draining lymph nodes is *** drainage in the colon follows the vascular supply,typically progressing from pericolic to paraaortic lymph *** NCCN guidelines recommend the removal of 10-12 lymph nodes for ade-quate oncological resection,achieving complete oncological resection involves more than just meeting these numerical *** techniques have been developed and studied over time to attain optimal oncological outcomes.A key technique central to this goal is identifying the ileocolic vessels at their origin from the superior mesenteric *** excision of the visceral and parietal mesocolon ensures the intact removal of the specimen,while D3 lymphade-nectomy targets all draining regional lymph *** these principles emphasize different aspects,they ultimately converge to achieve the same goal of complete oncological *** article aims to simplify the surgical steps that align with the principle of central vascular ligation and mesocolon mobilization while ensuring adequate D3 dissection.

关键词： Carcinoma caecum Carcinoma ascending colon Right hemicolectomy Extended right hemicolectomy Central vascular ligation Complete mesocolon excision D3 lymphadenectomy Laparoscopic right hemicolectomy Minimally invasive hemico-lectomy

Identifying behavioral determinants and stage of readiness for performing knee massage among individuals with knee osteoarthritis:An observational study

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Journal of Integrative Medicine 2024年第1期22卷 54-63页

作者： Donya Nemati Niki Munk Navin kaushal College of Nursing the Ohio State UniversityColumbusOH 43210USA Department of Health Sciences School of Health&Human SciencesIndiana UniversityIndianapolisIN 46202USA National Centre for Naturopathic Medicine Southern Cross UniversityLismoreNew South Wales 2480Australia Australian Research Centre in Complementary and Integrative Medicine(ARCCIM) Massage&Myotherapy Australia Fellow and Visiting Faculty of HealthUniversity of Technology SydneyNew South Wales 2007Australia

Objective Patients who experience knee osteoarthritis or chronic knee pain can alleviate their symptoms by performing self-knee *** the readiness and types of determinants needed to facilitate self-knee massage is needed to design effective,theory-informed *** primary objective of this study was to apply the transtheoretical model of behavior change to identify how factors,which include the type of knee condition and pain level,predict an individual’s readiness to adopt self-knee *** secondary objective employed the capability,opportunity and motivation-behavior(COM-B)model to identify relevant determinants that are predictive of an individual’s readiness to undertake self-knee *** An observational study design was used to recruit individuals with knee osteoarthritis(n=270)and chronic knee pain(n=130).Participants completed an online survey that assessed the transtheoretical model of behavior change stages,COM-B determinants(capability,opportunity and motivation),along with self-administered massage *** analysis of covariance and structural equation modeling were used to test the primary and secondary objective,*** Participants who had knee osteoarthritis scored higher on the action stage compared to those with chronic pain(P=0.003),and those who experienced greater level of pain scored higher in the contemplation(Pknee massage compared to those with milder *** COM-B structural equation model revealed self-administered knee massage to be predicted by capability(β=0.31,P=0.004)and motivation(β=0.29,P<0.001),but not opportunity(β=–0.10,P=0.39).Pain level predicted motivation(β=0.27,P<0.001),but not capability(β=0.09,P=0.07)or opportunity(β=0.01,P=0.83).Tests for mediating effects found that determinants of COM-B(motivation and capability)mediate between pain level and self-administered massage behavior(β=0.10,P=0.002).Conclusion Cl

关键词： Osteoarthritis Massage Self-management Transtheoretical model of behavior change Behavioral model

Spatio-temporal variation and relationship between agricultural efficiency and irrigation intensity in a semi-arid region of India

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Regional Sustainability 2024年第2期5卷 123-139页

作者： Shibu DAS kaushal kumar SHARMA Suranjan MAJUMDER Debabrata DAS Indrajit Roy CHOWDHURY Centre for the Study of Regional Development School of Social SciencesJawaharlal Nehru UniversityNew Delhi110067India Department of Geography&Applied Geography University of North BengalDarjeeling734013India Geography Department of krishnagar Government College Krishnagar741101India

A surging population in karnataka State,a semi-arid region in India,poses a threat to both food security and livelihood sustainability,necessitating a concentrated effort to bolster agricultural efficiency and achieve United Naton’s Sustainable Development Goal 2(zero hunger).Therefore,in order to address the pressing issue of food scarcity in karnataka,this study meticulously examined the spatio-temporal variation of agricultural efficiency and irrigation intensity in karnataka,uncovering its significant dependence of agricultural efficiency on irrigation ***,this study used a one-way analysis of variance(ANOVA)to ascertain significant differences in the means of agricultural efficiency and irrigation intensity during 2004-2005 and *** study showed that the maximum improvement in agricultural efficiency index was recorded in Belgaum(40.24),Gulbarga(24.77),and Yadgir districts(22.92)between 2004-2005 and 2018-2019,which indicated the progressing trend and better scope for agriculture *** the contrary,some districts expressed threat(a decline of above 20.00 of agricultural efficiency index)and needed special care for the improvement of agricultural efficiency in four northern districts(Bagalkot,Bidar,Raichur,and Bijapur),three southern districts(Chitradurga,Chikballapur and Hassan),and two southern districts(koppal and Gadag)in *** 2004-2005,irrigation intensity varied from 3.19%to 56.39%,with the lowest irrigation intensity in kodagu District and the highest irrigation intensity in Shimoga *** 2018-2019,irrigation intensity changed from 0.77%to 72.77%,with the lowest irrigation intensity in kodagu District and the highest in Dakshin kannad ***,the research scrutinized the complex relationship between agricultural efficiency and irrigation intensity,with the correlation coefficient increased from 0.162 during 2004-2005 to 0.255 during *** implies that in both periods,a low positive

关键词： Agricultural efficiency Irrigation intensity One-way analysis of variance(ANOVA) Food security karnataka

Alexa,let's train now!——A systematic review and classification approach to digital and home-based physical training interventions aiming to support healthy cognitive aging

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Journal of Sport and Health Science 2024年第1期13卷 30-46页

作者： Fabian Herold Paula Theobald Thomas Gronwald Navin kaushal Liye Zou Eling D.de Bruin Louis Bherer Notger GMüller Research Group Degenerative and Chronic Diseases MovementFaculty of Health Sciences BrandenburgUniversity of PotsdamPotsdam 14476Germany Body-Brain-Mind Laboratory Shenzhen UniversityShenzhen 518060China Institute of Interdisciplinary Exercise Science and Sports Medicine MSH Medical School HamburgHamburg 20457Germany Department of Health Sciences School of Health&Human SciencesIndiana UniversityIndianapolisIN 46202USA Department of Health Sciences and Technology Institute of Human Movement Sciences and SportETH ZurichZurich 8093Switzerland Department of Neurobiology Care Sciencesand SocietyKarolinska InstituteStockholm 17177Sweden Department of Health OST-Eastern Swiss University of Applied SciencesSt.Gallen 9001Switzerland Montreal Heart Institute MontrealQC H1T 1C8Canada Department of Medicine Universite de MontrealMontrealQC H3T 1J4Canada Centre de Recherche de l'Institut Universitaire de Geriatrie de Montreal MontrealQC H3W 1W5Canada

Background:There is mounting evidence that regular physical activity is an important prerequisite for healthy cognitive ***,the finding that almost one-third of the adult population does not reach the recommended level of regular physical activity calls for further public health *** this context,digital and home-based physical training interventions might be a promising alternative to center-based intervention ***,this systematic review aimed to summarize the current state of the literature on the effects of digital and home-based physical training interventions on adult cognitive ***:In this pre-registered systematic review(PROSPERO;ID:CRD42022320031),5 electronic databases(PubMed,Web of Science,Psyclnfo,SPORTDiscus,and Cochrane Library)were searched by 2 independent researchers(FH and PT)to identify eligible studies investigating the effects of digital and home-based physical training interventions on cognitive performance in *** systematic literature search yielded 8258 records(extra17 records from other sources),of which 27 controlled trials were considered *** reviewers(FH and PT)independently extracted data and assessed the risk of bias using a modified version of the Tool for the assEssment of Study qualiTy and reporting in EXercise(TESTEX scale).Results:Of the 27 reviewed studies,15 reported positive effects on cognitive and motor-cognitive outcomes(i.e.,performance improvements in measures of executive functions,working memory,and choice stepping reaction test),and a considerable heterogeneity concerning study-related,population-related,and intervention-related characteristics was noticed.A more detailed analysis suggests that,in particular,interventions using online classes and technology-based exercise devices(i.e.,step-based exergames)can improve cognitive performance in healthy older *** one-half of the reviewed studies were rated as having a high risk of bias with respect

关键词： Brain Cognition Digital health Exercise-cognition Physical activity

Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images

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Intelligent Medicine 2024年第2期4卷 104-113页

作者： Vinayak Sharma Nillmani Sachin kumar Gupta kaushal kumar Shukla School of Electronics and Communication Engineering Shri Mata Vaishno Devi University Jammu and KashmirIndia School of Biomedical Engineering Indian Institute of TechnologyBanaras Hindu UniversityVaranasiIndia Department of Computer Science and Engineering Indian Institute of TechnologyBanaras Hindu UniversityVaranasiIndia

Objective Tuberculosis(TB)is among the most frequent causes of infectious-disease-related *** being treatable by antibiotics,tuberculosis often goes misdiagnosed and untreated,especially in rural and low-resource *** X-rays are frequently used to aid diagnosis;however,this presents additional challenges because of the possibility of abnormal radiological appearance and a lack of radiologists in areas where the infection is most *** deep-learning-based imaging techniques for computer-aided diagnosis has the potential to enable accurate diagnoses and lessen the burden on medical *** the present work,we aimed to develop deep-learning-based segmentation and classification models for accurate and precise detection of tuberculosis in chest X-ray images,with visualization of infection using gradient-weighted class activation mapping(Grad-CAM)*** First,we trained the UNet segmentation model using 704 chest X-ray radiographs taken from the Montgomery County and Shenzhen Hospital ***,we implemented the trained UNet model on 1,400 tuberculosis and control chest X-ray scans to segment the lung *** images were taken from the National Institute of Allergy and Infectious Diseases(NIAID)TB portal program ***,we applied the deep learning Xception model to classify the segmented lung region into tuberculosis and normal *** further investigated the visualization capabilities of the model using Grad-CAM to view tuberculosis abnormalities in chest X-rays and discuss them from radiological *** For segmentation by the UNet model,we achieved accuracy,Jaccard index,Dice coefficient,and area under the curve(AUC)values of 96.35%,90.38%,94.88%,and 0.99,*** classification by the Xception model,we achieved classification accuracy,precision,recall,F1-score,and AUC values of 99.29%,99.30%,99.29%,99.29%,and 0.999,*** Grad-CAM heatmap images from the tuberculos

关键词： Tuberculosis Artificial intelligence Deep learning Segmentation Classification Chest X-ray

Correlates of Mistimed Pregnancy and Unmet Need for Family Planning among Women of Reproductive Age in Sandema, Ghana

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Advances in Reproductive Sciences 2024年第2期12卷 125-140页

作者： Elvis Junior Dun-Dery Elijah Yendaw Frederick Dun-Dery Lawrence Bagrmwin Menaal kaushal Department of Population and Health Research Research Web Africa Sunyani Ghana Department of Governance and Development Management Faculty of Planning and Land Management Simon Diedong Dombo University of Business and Integrated Development Studies Wa Ghana University of Calgary 2500 University Drive NW Calgary Alberta Canada Lambussie Polyclinic Ghana Health Service Lambusie Upper West Region Ghana Department of Public Health Lekma Hospital Ghana Health Service Accra Ghana

Background: Globally, an estimated 80 million unintended pregnancies comprising both mistimed and unwanted pregnancies are recorded yearly. Yet only half of the women at risk of mistimed pregnancy use contraceptives. In developing countries, over 100 million females have unmet need, and national surveys in Ghana indicate 23% unmet need rate. Methods: Using a cross-sectional community-based approach, a sample size of 300 women of reproductive age were selected using multi-step cluster sampling techniques. The study was quantitative, using structured interviewer-administered questionnaires. Results: Two-third (66%) of the women in reproductive age still had unmet need, 71% were currently pregnant, and more than a third (36%) confirmed ever having a mistimed pregnancy. Fifty-three percent (53%) of the women confirmed never communicating with their partners on family planning issues, a little below half (45%) took their own health care decisions. Seventy nine percent (79%) ever received family planning services from a health professional. Factors related to unmet needs included mistimed pregnancy, level of education, preferred birth/pregnancy interval, communication between partners and the autonomy to spend self-earnings. Conclusion: Considering that high rates of unmet need results in mistimed pregnancy, improved policies around the influence of unmet need on mistimed pregnancies are needed.

关键词： Contraception Family Planning Mistimed Pregnancy Ghana Unintended Pregnancy

Stand structure and species diversity regulate biomass carbon stock under major Central Himalayan forest types of India

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Ecological Processes 2021年第1期10卷 195-212页

作者： Siddhartha kaushal Ratul Baishya Ecology&Ecosystem Research Laboratory Department of BotanyUniversity of DelhiDelhi 110007India

Background:Data on the impact of species diversity on biomass in the Central Himalayas,along with stand structural attributes is sparse and ***,few studies in the region have related population structure and the influence of large trees on *** data is crucial for maintaining Himalayan biodiversity and carbon ***,we investigated these relationships in major Central Himalayan forest types using nondestructive methodologies to determine key factors and underlying ***:Tropical Shorea robusta dominant forest has the highest total biomass density(1280.79 Mg ha^(−1))and total carbon density(577.77 Mg C ha^(−1))along with the highest total species richness(21 species).The stem density ranged between 153 and 457 trees ha^(−1) with large trees(>70 cm diameter)contributing 0–22%.Conifer dominant forest types had higher median diameter and Cedrus deodara forest had the highest growing stock(718.87 m^(3) ha^(−1));furthermore,*** contributed maximally toward total carbon density(14.6%)among all the 53 species *** semecarpifolia–Rhododendron arboreum association forest had the highest total basal area(94.75 m^(2) ha^(−1)).We found large trees to contribute up to 65%of the growing *** percent of the species contributed more than 50%of the carbon *** dominance regulated the growing stock significantly(R^(2)=0.707,p<0.001).Temperate forest types had heterogeneous biomass distribution within the forest *** found total basal area,large tree density,maximum diameter,species richness,and species diversity as the predominant variables with a significant positive influence on biomass carbon *** structural attributes and diversity influenced the ordination of study sites under PCA *** showed no significant correlation with either biomass or species diversity ***:The results suggest biomass hyperdominance with both selection effects and niche complementarit

关键词： Biomass hyperdominance Elevational gradient Growing stock Large trees Carbon allocation Forest management

Comparison of two-and three-dimensional modeling of invert trap for sewer solid management

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Particuology 2008年第3期6卷 176-184页

作者： Tsewang Thinglas Deo Raj kaushal Civil Engineering Department IIT DelhiHauz KhasNew Delhi 110016India

In the present study, five different invert trap configurations （rectangular with and without lids on both sides; trapezoidal, trapezoidal with rectangular base and rectangular with trapezoidal base with lids on both sides） were simulated for both two-dimensional （2D） and three-dimensional （3D） flow conditions for three sediment types （sand, styrocell and plastic beads） at six flow rates （0.35, 0.70, 1.05, 1.35, 4.55 and 9.95 L/s） for each trap. Computational fluid dynamics （CFD）-based modeling using FLUENT software with Renormalization Group （RNG） k-e model along with discrete phase model （DPM） were used in the simulations. A hexagonal/tetrahedral and map-type non-uniform grid was chosen to discretize the entire computational domain and a control volume finite difference method was used to solve the governing equations. The flow rates selected in the present study cover the entire range of flow rate expected for dry weather and monsoon. The simulation is capable of differentiating between 2D and 3D modeling of particle trajectories, the effects of flow rate and trap geometry on flow patterns developed in the trap. The sediment retention ratio for 2D is higher than that for 3D modeling for all flow conditions, particle types and model geometry due to inclusion of lateral effects in 3D modeling. The invert trap having rectangular shape with trapezoidal base is found to be the most efficient configuration in both 2D and 3D modeling.

关键词： CFD modeling 2D 3D Invert trap Sediment trapping Urban drainage