Predictive value of D-Dimer and thromboplastin time as coagulation indicators for COVID-19 patients by Marwan Alshipli, Thamer A Altaim, Ammar A Oglat, Samira Ahmed Alsenany, Osama Khodrog, Hanan Hasan, Sally Mohammed Farghaly Abdelaliem, A Matrieh, Bassam Z Shakhreet, Riziq Allah Gaowgzeh

“…Within the two groups of patients, the rate of coagulation disorders was as follows: mild = 8.8 % within coagulation disorders, 4.8% within the two Groups; severe = 91.2 % within coagulation disorders, 77.8 % within the two Groups. …”
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Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

“…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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Exciton-phonon coupling and phonon-assisted exciton relaxation dynamics in In1-xGaxP quantum dots by Beiye C. Li, Kailai Lin, Ping-Jui E. Wu, Aritrajit Gupta, Kaiyue Peng, Siddhartha Sohoni, Justin C. Ondry, Zirui Zhou, Caitlin C. Bellora, Young Jay Ryu, Stella Chariton, David J. Gosztola, Vitali B. Prakapenka, Richard D. Schaller, Dmitri V. Talapin, Eran Rabani, Gregory S. Engel

“…We identify a slower hot exciton cooling rate in In0.62Ga0.38P/ZnS, attributed to the presence of ‘energy-retaining’ valley exciton states with strong exciton-phonon coupling. …”
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Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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Near-Unity Nitrate to Ammonia conversion via reactant enrichment at the solid-liquid interface by Wanru Liao, Jun Wang, Yao Tan, Xin Zi, Changxu Liu, Qiyou Wang, Li Zhu, Cheng-Wei Kao, Ting-Shan Chan, Hongmei Li, Yali Zhang, Kang Liu, Chao Cai, Junwei Fu, Beidou Xi, Emiliano Cortés, Liyuan Chai, Min Liu

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Fosfomycin susceptibility in multidrug resistant uropathogens: A retrospective study in the era of antimicrobial resistance by Jasleen Kaur, Priya Bhat, Upasana Bhumbla

“…Background: Urinary tract Infection is one of the most prevalent clinical entities affecting people worldwide. The accelerating rate of antimicrobial resistance due to the unimpeded and rampant use of antimicrobials with over the counter availability of drugs has limited the therapeutic options for the treatment of UTI. …”
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Salmonella spp. Inactivation During Hot Air Drying of Apples: Influence of Temperature, Bed Depth, and Air Velocity by Xiyang Liu, Elizabeth M. Grasso-Kelley, Alvin Lee, Lilybell Warda, Nathan M. Anderson

“…Increased air velocity shortened the constant-rate drying period, promoted a faster temperature increase in the apple cubes, and resulted in higher lethality within a shorter drying period. …”
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The Effects of a Small Dose of Tannin Supplementation on In Vitro Fermentation Characteristics of Different Forages by Sytske de Jong, Fabiellen C. Pereira, Alejandro R. Castillo, Wilbert F. Pellikaan, Pablo Gregorini

“…The addition of tannins reduced the fractional rate of gas production for alfalfa (<i>p</i> ≤ 0.04) but increased it for ryegrass and plantain. …”
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Efficiency of foliar application with organic fertilizer agrochelate on seed plots of summer sowing watermelon by O. V. Yakimova, V. E. Lazko, E. N. Blagorodova

“…Organic fertilizer AGROCHELATE was used to treat the leaf surface of plants with a consumption rate of 100 ml/ha. A single spraying was used during the flowering phase of the plants. …”
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Transcutaneous bilirubin nomogram for Taiwanese newborns – A single center study by Tung-Hua Chen, Yung-Chieh Lin, Yuh-Jyh Lin, Chyi-Her Lin

“…Mean TCB levels increased at a rate of 0.01–0.21 mg/dL/h initially, followed by a decrease after 96–108 h of age. …”
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Subnational malaria burden in Sindh, Pakistan: over a decade of evidence for tailored strategies by Nelofer Baig, Zakir Ali, Muhammad Ahmed, Wafa Zehra Jamal, Saqib Ur Rehman, Zafar Ahmed, Riaz Hussain Rahoojo, Javed Ali Jagirani, Bilal Ahmed Usmani, Zafar Fatmi

“…Marked heterogeneity observed in malaria burden across districts. Malaria positivity rate was 12.3%. Six districts (Khairpur, Sanghar, Naushero Feroze, Badin, Mirpurkhas, and Larkana) carried over 53% burden of malaria in Sindh. …”
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Tetrahymena ATG8 homologs, TtATG8A and TtATG8B, are responsible for mitochondrial degradation induced by starvation by Shinya Matsuda, Chieko Saito, Mami Nomura, Hitomi Kawahara, Noboru Mizushima, Kentaro Nakano

“…The ciliate Tetrahymena exhibits active swimming behavior in water, preying on microorganisms and growing exponentially at a rate of 0.5–0.75 h⁻¹ under optimal conditions. In this organism, numerous mitochondria localize to the cell cortex along the ciliary rows, likely ensuring an efficient ATP supply necessary for vigorous cell movement. …”
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Clinical Efficacy and Safety of the Herbal Prescription, HH333, in Preventing Recurrent Stroke in Patients With Ischemic Stroke Induced by Small-Vessel Disease: Protocol for Multic... by Han-Gyul Lee, Seungwon Kwon, Woo-Sang Jung, Sang-Kwan Moon, Cheol-Hyun Kim, Dong-Jun Choi

“…Efficacy will be assessed using the recurrence rate of ischemic stroke, which will be assessed on days 30, 90, 180, 270, 360, 450, 540, 630, 720, and 750 after starting the medication. …”
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An Epidemiological Review of the Impact of COVID-19 on Achilles Tendon Rupture Injuries, Experience from a Large London District General Hospital by Lena Al-Hilfi, Irrum Afzal, Sarkhell Radha, Mohamed Abdalla, Mohammed Al-Maiyah

“…As lockdown measures began to ease, hospitals experienced a high admission rate of patients presenting with Achilles Tendon Rupture [ATR]. …”
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Paradigm shift of respiratory viruses causing lower respiratory tract infection in children during COVID-19 pandemic in India by Mannat Kang, Subhabrata Sarkar, Suresh Kumar Angurana, Pankaj Singh, Meenakshi Rana, Ishani Bora, Rishi Chetanya, Bharatendu Singh, Jayashree Muralidharan, Radha Kanta Ratho

“…No significant difference in positivity rate of Inf A pdmH1N1, Inf A H3N2 and Inf B was seen. …”
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Heritability and Genetics of Type 2 Diabetes Mellitus in Sub-Saharan Africa: A Systematic Review and Meta-Analysis by Evans Adu Asamoah, Christian Obirikorang, Emmanuel Acheampong, Max Efui Annani-Akollor, Edwin Ferguson Laing, Eddie-Williams Owiredu, Enoch Odame Anto

“…Sub-Saharan Africa (SSA) is observing an accelerating prevalence rate of type 2 diabetes mellitus (T2DM) influenced by gene-environment interaction of modifiable and nonmodifiable factors. …”
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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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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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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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