Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…In addition, the OCDWO-DLCLC technique uses NASNet Mobile model for learning complex feature patterns. Also, the hybrid of convolutional bidirectional gated recurrent unit (CNN‐BiGRU) model was applied for classifying the existence of colon and lung cancer in the biomedical images. …”
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Precision public health alliances as a model and method for community engagement by Margaret L. McGladrey, Mary Elizabeth Lacy, Kristen McQuerry, Rachel Hogg-Graham, Svetla Slavova, Emily R. Clear, Kory Heier, Caitline Phan, Megan Hall, Ryan Parker, Mindy Keeton, Jennifer Sword, Thomas Ard, Charbel Salem

“…Using precision analytics approaches with population health data helps identify localized patterns of social determinants and comorbidities, supporting the design of tailored interventions. …”
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A platform for multisite immune profiling of premetastatic pancreatic cancer at single-cell resolution by Elishama N. Kanu, Ashley A. Fletcher, Jiayin Bao, Ethan S. Agritelley, Julia Button, Austin M. Eckhoff, Karrie Comatas, Tao Wang, Bin-Jin Hwang, Michael E. Lidsky, Sabino Zani, Dan G. Blazer, Peter J. Allen, Zhicheng Ji, Frank J. Lowery, Sri Krishna, Nicholas D. Klemen, Daniel P. Nussbaum, Erika J. Crosby

“…Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is characterized by exceedingly high rates of metastatic progression, with the liver representing the most common site of distant spread. …”
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Quality of life and clinical data in hemodialysis patients with different degrees of pruritus by Sebastián Mas Fontao, Paula Manso, Julia Audije-Gil, David Hernán Gascueña, Fabiola Dapena, Nuria Aresté, Emilio Sánchez-Álvarez, Pablo Molina, Raquel Ojeda, Marian Goicoechea, Vicent Esteve Simó, Guillermo Alcalde Bezhold, Mario Prieto-Velasco, María Jesús Lloret, Ana Blanco Santos, Juan Manuel Buades, Carlos Narváez, Rafael Sánchez-Villanueva, Rosa Elena Pérez-Morales, María Dolores Arenas Jiménez, Fundación Renal Española Working Group, Prurito Working Group

“…Each reporting period (morning, midday, evening, and night) revealed distinct patterns in pruritus prevalence and severity (p < 0.05). …”
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Bridging micro and macroevolution: insights from chromosomal dynamics in plants by Carmen Benítez-Benítez, Ashwini V. Mohan, Rogelio Sánchez-Villegas, Inés Gómez-Ramos, Ana Valdés-Florido, Kay Lucek, Marek Slovák, Marek Slovák, Filip Kolář, Filip Kolář, Ilia J. Leitch, Modesto Luceño, Isabel Larridon, Angelino Carta, Angelino Carta, Joan Cuscó-Borràs, Enrique Maguilla, Alegría Montero-Ramírez, Patrick G. Meirmans, Alison Dawn Scott, Santiago Martín-Bravo, Marcial Escudero

“…At the macroevolutionary level, we investigated the association between karyotype diversity and diversification rates using evidence from comparative genomics, chromosomal evolution modelling across phylogenies, and the association with several traits across different angiosperm lineages. …”
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Progressive subcortical involvement as spinocerebellar ataxia type 3 advances by Pubing Yuan, Yonghua Huang, Minghui Dai, Xin Jin, Dingxin Zheng, Die Xiao, Lihua Deng, Peiling Ou, Linfeng Shi, Yifan Chen, Jian Wang, Wei Chen, Yuanchao Zhang, Chen Liu

“…Abstract Background and objectives Spinocerebellar ataxia type 3 (SCA3) is a progressive neurodegenerative disease characterized by heterogeneous motor and nonmotor manifestations. The progressive pattern of subcortical shape abnormalities and their associations with the clinical phenotypes in SCA3 remain unknown. …”
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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The decomposed components undergo dual-stage temporal processing: A Temporal Convolutional Network (TCN) extracts multi-scale dependencies via dilated convolution architecture, followed by Gated Recurrent Unit (GRU) layers capturing dynamic temporal patterns. …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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Genomic epidemiology and phylodynamics of Acinetobacter baumannii bloodstream isolates in China by Qixia Luo, Mengru Chang, Ping Lu, Qian Guo, Xiaoqing Jiang, Tingting Xiao, Haoyu Zhang, Yingying Ma, Yan Zhang, Wei Yu, Erjia Zhang, Yunbo Chen, Ping Shen, Jinru Ji, Chaoqun Ying, Zhiying Liu, the BRICS Working Group, Huaiqiu Zhu, Yonghong Xiao

“…Abstract In recent decades, Acinetobacter baumannii has become a major global nosocomial pathogen, with bloodstream infections (BSIs) exhibiting mortality rates exceeding 60% and imposing substantial economic burdens. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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Construction of high-density bin genetic map and QTL mapping of fruit aroma in longan (Dimocarpus longan Lour.) by Wenshun Hu, Qing Zhang, Chaojun Deng, Qizhi Xu, Jimou Jiang, Xiuping Chen, Jianguo Li, Jisen Zhang, Shaoquan Zheng

“…These QTLs explained 19.8%–51.0% of the phenotypic variation rates and were distributed across 11 linkage groups, with two QTL-rich regions on LG7 and LG8. …”
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Dynamic immune response to Avian Pathogenic Escherichia coli infection in broiler chickens: Insights into pro-inflammatory and anti-inflammatory cytokine regulation by Xin Ye, Chuan-Yu Hsu, Linan Jia, Xue Zhang, Christopher Magee, Stephanie Whitham, Spencer Leigh, Jeffrey D. Evans, Li Zhang, Kelsy Robinson

“…This study investigates the dynamic immune responses to APEC infection in broiler chickens, with a focus on survival rates, airsac lesion scores, and cytokine gene expression patterns in lung tissue. …”
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Impact of Hepatic Steatosis on the Antiviral Effects of PEG-IFNα-2a in Patients with Chronic Hepatitis B and the Associated Mechanism by Huiqing Liang, Yaoyu Liu, Xiaoqian Jiang, Xiaoting Zheng, Jinmo Tang, Jiaen Yang, Hongli Zhuang, Penghua Lai, Li Peng, Zhenying Guo, Shanshan Cai, Dan Luo, Lingxia Xu, Qianguo Mao, Shaodong Chen

“…After 48 weeks of treatment and 24 weeks of follow-up, the rates of CR, VR, and BR had gradually decreased, whereas the severity of hepatic steatosis had increased. …”
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Resistome and Phylogenomics of <i>Escherichia coli</i> Strains Obtained from Diverse Sources in Jimma, Ethiopia by Mulatu Gashaw, Esayas Kebede Gudina, Guenter Froeschl, Ralph Matar, Solomon Ali, Liegl Gabriele, Amelie Hohensee, Thomas Seeholzer, Arne Kroidl, Andreas Wieser

“…<b>Introduction</b>: In recent years, antimicrobial resistance (AMR) rates have increased significantly in bacterial pathogens, particularly extended beta-lactam resistance. …”
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Intracranial directed connectivity links subregions of the prefrontal cortex to major depression by John Myers, Jiayang Xiao, Raissa K. Mathura, Ben Shofty, Victoria Gates, Joshua Adkinson, Anusha B. Allawala, Adrish Anand, Ron Gadot, Ricardo Najera, Hernan G. Rey, Sanjay J. Mathew, Kelly Bijanki, Garrett Banks, Andrew Watrous, Eleonora Bartoli, Sarah R. Heilbronner, Nicole Provenza, Wayne K. Goodman, Nader Pouratian, Benjamin Y. Hayden, Sameer A. Sheth

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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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Associations between on-farm factors and bulk tank SCC on Irish dairy farms by Alice Uí Chearbhaill, Pablo Silva Boloña, Eoin G. Ryan, Catherine I. McAloon, Conor G. McAloon, John Upton

“…Parlour technologies such as automatic cluster removers and automatic washers on the milking machine were associated with significantly reduced log10BTSCC, whereas the presence of backing gates and straight breast rails were associated with increased log10BTSCC. …”
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Characteristics of Anemia in Children Aged 6 Months to 5 Years Attending External Consultations at a Pediatric Hospital in Lisbon, Portugal by Réka Maulide Cane, Sérgio Chicumbe, Youssouf Keita, Anaxore Casimiro, Bárbara Martins Saraiva, Joana Vasconcelos, Beatriz Luzio Vaz, Afonso Sousa, Mafalda Cabral, Francisco Branco Caetano, Luís Varandas, Isabel Craveiro

“…Five children (6.8%) had normal hemoglobin but abnormal red-cell indices, with microcytic (60.0%; 3/5) or normocytic (40.0%; 2/5) patterns. Anemia rates were higher in males (55.1%), children aged 24–59 months, those residing in the Metropolitan Lisbon Area (82.6%), children whose caregivers had only basic or secondary education (58.0%), and those whose mothers were born in foreign countries (48.4%). …”
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Global, regional, and national burden and trends of HIV/AIDS among women of childbearing age from 1990 to 2021: results from Global Burden of Disease 2021 by Mingjie Tang, Mingjie Tang, Jun Shao, Yanjie Jiang, Yanjie Jiang, Yinghong Li, Shiwei Li, Yilin Song, Wenxuan Wu, Jiqin Tang, Zhaoming Chen

“…The analysis employed a multidimensional stratification approach, examining temporal patterns, age distributions, geographic variations, and Socio-demographic Index (SDI). …”
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