High-speed threat detection in 5G SDN with particle swarm optimizer integrated GRU-driven generative adversarial network by R. Shameli, Sujatha Rajkumar

“…Moreover, the performance of this model is evaluated using the InSDN dataset and compared with existing DL model-based intrusion detection approaches and the results demonstrate a significantly higher accuracy rate of 98.4%, precision rate of 98%, recall rate of 98.5%, less detection time of 2.464 s, lesser Log loss rate of 1.0 and more metrics instilling confidence in the effectiveness of the proposed method.…”
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Chrononutrition Patterns and Nutritional Status Among Working and Non-Working Women Aged 20-60 Years: A Cross-Sectional Study from Surat, India by Shilpee Agrawal, Umaymah Mohmad Degia

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Speciation of Clinically Significant Coagulase Negative Staphylococci Isolates from Clinical Samples and their Susceptibility Pattern: A Cross-sectional Study from Western Uttar Pr... by Priya, Ismat Rehana, Anita Pandey, Rajesh Kumar Shah, Jitendra Kumar Chaudhary

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Prevalence, antimicrobial resistance patterns, and associated factors of Staphylococcus aureus among different clinical specimens in Wad Medani, Sudan: a four-year, laboratory-base... by Yousif B. Hamadalneel, Marwa F. Alamin, Hifa O. Ahmed, Safa F. Eltoum, Elmuntasir Elamin

“…The overall S. aureus isolation rate was 39.1% (697/1784). The strains were primarily isolated from female patients (79.5%, 554/697), 38.9% of whom (271/697) were aged 30–44 years. …”
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Survival benefit from adjuvant chemoradiotherapy in local advanced gastric cancer without accurate D2 confirmation: a real-world retrospective study (TJ-ARK01) by Xiao-Xiao Luo, Ben Zhao, Li Sun, Yu-Hong Dai, Hong Qiu, Xiang-Lin Yuan

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Pattern, Clinical Characteristics, and Outcome of Meningitis among HIV-Infected Adults Admitted in a Tertiary Hospital in North Western Tanzania: A Cross-Sectional Study by Matobogolo M. Boaz, Samuel Kalluvya, Jennifer A. Downs, Bonaventura C. T. Mpondo, Stephen E. Mshana

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Wire Arc Additive Manufacturing of Aluminium 5356 Alloy: Process Parameter Optimization and Structure-Property Analysis by K. Saravanakumar, J. Nampoothiri, M.R. Prat heesh Kumar

“…Wire Arc Additive Manufacturing (WAAM) is an emerging technology in the manufacturing sector, offering benefits such as increased production rates and cost efficiency. This study investigates the WAAM of aluminium alloy 5356, deposited on aluminium 6082 base plates. …”
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Patterns of Treatment and Real‐World Outcomes of Patients With Non‐small Cell Lung Cancer With EGFR Exon 20 Insertion Mutations Receiving Mobocertinib: The EXTRACT Study by Geoffrey Liu, Shi Feng Nyaw, Tony S. K. Mok, Hubert Curcio, Alexis B. Cortot, Tsz Yeung Kam, Renaud Descourt, Yin Kwan Chik, Parneet Cheema, James M. Gwinnutt, Eric N. Churchill, Justin Nyborn, Eileen Curran, Alexandra Savell, Yu Yin, Katie Chong, Yuka Tanaka‐Chambers, Julian Kretz, Jacques Cadranel

“…The median real‐world progression‐free survival (PFS) on mobocertinib was 4.76 months (95% CI: 3.98, 6.21). The overall response rate and disease control rate were 20.0% and 48.6%, respectively (median duration of response: 8.34 months [95% CI: 3.61, 9.49]). …”
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Fellowship training in microvascular surgery and post-fellowship practice patterns: a cross sectional survey of microvascular surgeons from facial plastic and reconstructive surger... by Douglas M. Bennion, Peter T. Dziegielewski, Brian J. Boyce, Yadro Ducic, Raja Sawhney

“…Results Among survey respondents (n = 21, 22% response rate), two-thirds completed 20–100 microvascular cases during fellowship using mainly radial forearm, fibula, anterior lateral thigh, latissimus and rectus free tissue transfers. …”
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Prevalence, Antimicrobial Susceptibility Pattern, and Associated Factors of Urinary Tract Infections among Adult Diabetic Patients at Metu Karl Heinz Referral Hospital, Southwest E... by Tesfaye Gutema, Fitsum Weldegebreal, Dadi Marami, Zelalem Teklemariam

“…The escalating antimicrobial resistance rate among bacteria over the past years is another concern in the treatment of urinary tract infections. …”
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Configuration and Dynamic Analysis of Complex Docking Test Platform by ZHANG Yuan, FAN Chang-zhen

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Large language models' knowledge of children's memory and suggestibility: Evaluating model predictions of prior experimental results by Pekka Santtila, Yongjie Sun, Kristjan Kask, Liisa Järvilehto, Jiaxing Xiu

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Post-caesarean section infection burden, antimicrobial resistance pattern, and associated factors at all Africa Leprosy Rehabilitation and Training Center Comprehensive Specialized... by Namuna Ali, Sebsib Neway, Kassu Desta

“…In sub-Saharan Africa, the incidence is 7.3%, while Ethiopia reports rates as high as 10.4%. Risk factors include older age, prolonged hospitalization, and emergency surgeries, with common pathogens being S. aureus and E. coli. …”
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A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images by M. Pradeepa, B. Sharmila, M. Nirmala

“…However, existing diagnostic models often struggle to extract complex patterns from high-resolution tissue images, limiting their diagnostic accuracy and generalization. …”
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Genome-wide identification and function analysis of the sucrose phosphate synthase MdSPS gene family in apple by Li-hua ZHANG, Ling-cheng ZHU, Yu XU, Long LÜ, Xing-guo LI, Wen-hui LI, Wan-da LIU, Feng-wang MA, Ming-jun LI, De-guo HAN

“…Sucrose phosphate synthase (SPS) is a rate-limiting enzyme that works in conjunction with sucrose-6-phosphate phosphatase (SPP) for sucrose synthesis, and it plays an essential role in energy provisioning during growth and development in plants as well as improving fruit quality. …”
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Dorsal hyperintensity and iron deposition patterns in the substantia nigra of Parkinson’s disease, idiopathic REM sleep behavior disorder, and Parkinson-plus syndromes at 7T MRI: a... by Dongning Su, Zhijin Zhang, Zhe Zhang, Rui Yan, Wanlin Zhu, Ning Wei, Yue Suo, Xinyao Liu, Ying Jiang, Lingyan Ma, Huiqing Zhao, Zhan Wang, Xuemei Wang, Huizi Ma, Xin Liu, Chaodong Wang, Zhirong Wan, Fangfei Li, Yuan Li, Joyce S. T. Lam, Junhong Zhou, Ning Zhang, Tao Wu, Jing Jing, Tao Feng

“…R2* mapping and principal component analysis were performed to assess nigral iron deposition patterns. Results Bilateral DNH detection rates in the development cohort were 22.6% for early-stage PD, 3.7% for advanced PD, 93.5% for iRBD, 5.7% for MSA-parkinsonian type, 78.8% for MSA-cerebellar type, 11.8% for progressive supranuclear palsy (PSP), and 100% for HC, with similar rates in the validation cohort. …”
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Pattern of disease and predictors of mortality among critically ill geriatric patients admitted to intensive care unit at a teaching hospital in Ethiopia: a retrospective cohort st... by Amanuel Sisay Endeshaw, Sitotaw Tesfa Zegeye, Meseret Hulualem Nega, Simachew Amogne Debas, Mulat Mossie Derseh

“…The incidence rate of mortality was 6.3 deaths per 100 person-days observation. …”
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Concomitant body-wide trauma patterns in patients with head and neck injuries: a comparison based on the trauma register DGU® by the German trauma society and the dortmund maxillof... by Ákos Bicsák, Fatma Topcuoglu, Stefan Hassfeld, Rolf Lefering, Lars Bonitz, Jens-Peter Stahl

“…Conclusions Patients with HNI tend to have slightly different injury pattern in the whole body than non-HNI patients. Head and neck injuries in different locations show different patterns of concomitant injuries. …”
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A Hybrid Learning Framework for Enhancing Bridge Damage Prediction by Amal Abdulbaqi Maryoosh, Saeid Pashazadeh, Pedram Salehpour

“…The proposed model demonstrates exceptional performance, achieving accuracy rates ranging from 98.27% to 100%, with error rates between 1.73% and 0% across multiple bridge damage datasets. …”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…The FTLMO-BILCCD technique implements a hybrid of temporal pattern attention and bidirectional gated recurrent unit (TPA-BiGRU) for classification. …”
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