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| 1 | Classic and endoscopic surgical anatomy of the groin显示文摘 | Brassier D Elhadad A | 2007 | J Chir (Paris)2007，144，4： | 1 |
| 2 | Determining a Pavement Modulus from Portable FWD Testing 显示文摘 | LIVNEH M LIVNEH NA ELHADAD E | 1997 | Geotechnical Testing Journal1997，20，4： | 1 |
| 3 | Inferring strategies for S6nte'nce Ordering in muitidocument news summarization显示文摘 | BARZILY R ELHADAD N McKEOWN K | 2002 | Journal of Arti''ficial I nielligence Research2002，17，2： | 1 |
| 4 | Complications of misdiagnosed Bachdalek hernia in aduhs显示文摘 | Habib E Bellaiehe G Elhadad A | 2002 | Ann Chir2002，127，： | 1 |
| 5 | Molecular and cellular characterization of a Salmonella enterica serovar Paratyphi a outbreak strain and the human immune response to infection显示文摘 | Gal-Mor O Suez J Elhadad D | | 0，，02： | 1 |
| 6 | Facilitating physicians' access to information via tailored text summarization 显示文摘 | Elhadad N McKeown DK Kaufnlan DJ | 2005 | AMIA Annu Symp Proc2005，，： | 1 |
| 7 | Hierarchically Supervised Latent Dirichlet Allocation显示文摘 | PEROTTE A BARTLETT N ELHADAD N | 2011 | Advances in Neural Information Processing Systems2011，24，： | 1 |
| 8 | Diagnosis and treatment of spleen rupture during pancreatitis显示文摘 | Habib E Elhadad A Slama JL | 2000 | Gastroenterol Clin Biol2000，24，： | 1 |
| 9 | Diagnosis and treatment of spleen rupture during pancreatitis显示文摘 | Habib E Elhadad A Slama JL | 2000 | Gastroenterol Clin Biol2000，24，12： | 1 |
| 10 | Toll-like receptor defi- ciency worsens inflammation and lymphedema after lymphatic inju- ry显示文摘 | Zampell JC Elhadad S Avraham T | 2012 | Physiol Cell Physiol2012，302，4： | 1 |
| 11 | CD4(+) cells regulate fibrosis and lymphangiogenesis in response to lym- phatic fluid stasis显示文摘 | ZAMPELL J C YAN A ELHADAD S | 2012 | PLOS One2012，7，49： | 1 |
| 12 | CSI-OMIM-Clinical Synopsis Search in OMIM 显示文摘 | Cohen R Gefen A Elhadad M | 2011 | BMC Bioinformatics2011，12，： | 1 |
| 13 | Inferring strategies for sentence ordering in multidocument news summarization显示文摘 | ELHADAD N MCKEOWN K R | 2002 | Journal of Artificial Intelligence Research2002，，17： | 1 |
| 14 | Supraperitoneal colorectal anastomosis: hand-sewn versus circular staples-a controlled clinical trial显示文摘 | Fingerhut A Hay J M Elhadad A | 1995 | Surgery1995，118，： | 1 |
| 15 | Inferring strategies for sentence ordering in multi-document summarization 显示文摘 | Barzilay R Elhadad E McKeown K | 2002 | Journal of Artificial Intelligence Research2002，17，： | 1 |
| 16 | Inferring Strategies for Sentence Ordering in Multidocument News Summarization显示文摘 | Barzilay R Elhadad N McKeown K | 2002 | Journal of Artifical Intelligence Research (JAIR)2002，17，： | 1 |
| 17 | Dual-antiplatelet treatment beyond 1 year after drug-eluting stent implantation (ARCTIC-Interruption): a randomised trial显示文摘 | Jean-Philippe Collet Johanne Silvain Olivier Barthélémy Grégoire Rangé Guillaume Cayla Eric Van Belle Thomas Cuisset Simon Elhadad Fran?ois Schiele Nicolas Lhoest Patrick Ohlmann Didier Carrié Hélène Rousseau Pierre Aubry Jacques Monségu Pierre Sabouret S | 2014 | 2014 (9954)2014，，9954： | 1 |
| 18 | Determinants of Schistosoma mansoni transmission in hotspots at the late stage of elimination in Egypt显示文摘Background In certain settings,the prevalence and severity of schistosoma infection do not lessen despite repeated rounds of preventative chemotherapy;these areas are known as hotspots.This study aimed to investigate the role of human practices,besides environmental and malacological factors,in the maintenance of the Schistosoma mansoni infection transmission chain in hotspot areas in Egypt.Methods This cross-sectional study was conducted between July and November 2019 in Kafr El-Sheikh Governorate,Egypt.A pre-designed structured interviewing questionnaire was used to collect humanitarian data.Stool samples were collected from children aged 6–15 years on three successive days and examined using the Kato-Katz technique.Simultaneously,water and snail samples were taken from watercourses surrounding houses.Snails were identified based on their shell morphology and structure and tested for cercaria shedding.Water samples were analyzed for their physicochemical and biological characteristics.Results A total of 2259 fecal samples(1113 in summer and 1146 in fall)were collected from 861 children.About 46.9%of the participants were males,and 31.8%were aged 6–10 years.The prevalence of S.mansoni infection was higher during the summer than during the fall(19.1%vs 7.2%,respectively,P<0.01).The intensity of infection(light,moderate,and heavy)during summer versus fall was(93.55 vs 89.38%,6.45 vs 8.85%,and 0.00%vs 1.77%),respectively(P<0.05).A higher prevalence of human infection was observed among males than females[OR=1.63,95%confidence interval(CI):1.10–2.40,P=0.015],children aged 11–15 years than among their counterparts aged 6–10 years(OR=2.96,95%CI:1.72–5.06,P<0.001),and mothers with a low level of education(OR=3.33,95%CI:1.70–6.52,P<0.001).The main identified risk factors were contacting the main body of water-canal for washing clothes(OR=1.81,95%CI:1.12–2.49,P=0.015),land irrigation(OR=2.56,95%CI:1.32–4.96,P=0.004),water collection(OR=2.94,95%CI:1.82–4.73,P<0.001),bathing(OR=2.34,95%CI:1.21–4.31,P=0.009),and garbage disposal(OR=2.38,95%CI:1.38–4.12,P<0.001).The count of Biomphalaria alexandrina was distinct between seasons(P<0.01)in consistent with statistically significant differences in water temperature,salinity,turbidity,the total concentration of coliforms,depth,velocity,and water level(P<0.01).The presence of grasses and duckweeds was significantly associated with snail infection(P=0.00 l).Significant effects of water depth,pH,temperature,and total dissolved solids on snail count were also observed(P<0.05).Conclusions The persistence of the infection is due to adoption of risky behaviors and environmental factors thatenhance snail survival and infection. Schistosomiasis elimination in hotspots requires an integrated control approachthat combines preventive chemotherapy with other complementary measures. | Ramy Mohamed Ghazy Walid Ismail Ellakany Mai M.Badr Nehad E.M.Taktak Heba Elhadad Sarah MAbdo Ayat Hagag Abdel Rahman Hussein Mohamed Mostafa Tahoun | 2022 | Infectious Diseases of Poverty2022，11，5： | 0 |
| 19 | An Efficient Indoor Localization Based on Deep Attention Learning Model显示文摘Indoor localization methods can help many sectors,such as healthcare centers,smart homes,museums,warehouses,and retail malls,improve their service areas.As a result,it is crucial to look for low-cost methods that can provide exact localization in indoor locations.In this context,imagebased localization methods can play an important role in estimating both the position and the orientation of cameras regarding an object.Image-based localization faces many issues,such as image scale and rotation variance.Also,image-based localization’s accuracy and speed(latency)are two critical factors.This paper proposes an efficient 6-DoF deep-learning model for image-based localization.This model incorporates the channel attention module and the Scale PyramidModule(SPM).It not only enhances accuracy but also ensures the model’s real-time performance.In complex scenes,a channel attention module is employed to distinguish between the textures of the foregrounds and backgrounds.Our model adapted an SPM,a feature pyramid module for dealing with image scale and rotation variance issues.Furthermore,the proposed model employs two regressions(two fully connected layers),one for position and the other for orientation,which increases outcome accuracy.Experiments on standard indoor and outdoor datasets show that the proposed model has a significantly lower Mean Squared Error(MSE)for both position and orientation.On the indoor 7-Scenes dataset,the MSE for the position is reduced to 0.19 m and 6.25°for the orientation.Furthermore,on the outdoor Cambridge landmarks dataset,the MSE for the position is reduced to 0.63 m and 2.03°for the orientation.According to the findings,the proposed approach is superior and more successful than the baseline methods. | Amr Abozeid Ahmed I.Taloba Rasha M.Abd El-Aziz Alhanoof Faiz Alwaghid Mostafa Salem Ahmed Elhadad | 2023 | Computer Systems Science & Engineering2023，46，8： | 0 |
| 20 | Plant Leaf Diseases Classification Using Improved K-Means Clustering and SVM Algorithm for Segmentation显示文摘Several pests feed on leaves,stems,bases,and the entire plant,causing plant illnesses.As a result,it is vital to identify and eliminate the disease before causing any damage to plants.Manually detecting plant disease and treating it is pretty challenging in this period.Image processing is employed to detect plant disease since it requires much effort and an extended processing period.The main goal of this study is to discover the disease that affects the plants by creating an image processing system that can recognize and classify four different forms of plant diseases,including Phytophthora infestans,Fusarium graminearum,Puccinia graminis,tomato yellow leaf curl.Therefore,this work uses the Support vector machine(SVM)classifier to detect and classify the plant disease using various steps like image acquisition,Pre-processing,Segmentation,feature extraction,and classification.The gray level co-occurrence matrix(GLCM)and the local binary pattern features(LBP)are used to identify the disease-affected portion of the plant leaf.According to experimental data,the proposed technology can correctly detect and diagnose plant sickness with a 97.2 percent accuracy. | Mona Jamjoom Ahmed Elhadad Hussein Abulkasim Safia Abbas | 2023 | Computers, Materials & Continua2023，，7： | 0 |
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