Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

“…For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. In addition, an ensemble of classification processes, such as bidirectional gated recurrent unit (BiGRU), Variational Autoencoder (VAE), and bidirectional long short-term memory (BiLSTM) technique, is employed. …”
Get full text

An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…Later, this article delves specifically into the latest advancements in DL for modeling GWL, including recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU), and discusses their technical promising performance and advantages. …”
Get full text

Mediodorsal thalamic nucleus mediates resistance to ethanol through Cav3.1 T-type Ca2+ regulation of neural activity by Charles-francois V Latchoumane, Joon-Hyuk Lee, Seong-Wook Kim, Jinhyun Kim, Hee-Sup Shin

“…Thalamocortical activity is known to orchestrate sensory gating and consciousness switching. The precise thalamic regions involved, or the firing patterns related to the unconsciousness, remain unclear. …”
Get full text

A 60-year atmospheric nitrate isotope record from a southeastern Greenland ice core with minimal postdepositional alteration by Z. Wei, S. Hattori, S. Hattori, S. Hattori, A. Tsuruta, Z. Jiang, S. Ishino, K. Fujita, S. Matoba, L. Geng, A. Lamothe, R. Uemura, N. Yoshida, N. Yoshida, N. Yoshida, J. Savarino, J. Savarino, Y. Iizuka

“…The ice core from the southeastern Dome (SE-Dome) in Greenland is a potential record of variations in atmospheric chemistry that has experienced a lower postdepositional effect owing to a high accumulation rate (<span class="inline-formula">∼1</span> m water equivalent per year). …”
Get full text

EFFECT OF NEURODEGENERATIVE CHANGES IN THE BRAIN ON THE FORMATION OF THE DISEASE CLINICAL PICTURE IN PATIENTS WITH MULTIPLE SCLEROSIS by L. N. Prakhova, Ye. P. Magonov, A. G. Ilves, A. A. Bogdan, G. V. Kataeva, Ye. S. Malakhova, Zh. I. Savintseva, I. D. Stolyarov, T. N. Trofimova

“…Neurodegenerative changes of brain structures evolve with different rates, have different intensity and determine the set of symptoms of neurological impairment and severity of disability, which indicates the presence of certain patterns of the process of atrophy in the brain, forming the clinical picture of the disease.…”
Get full text

Space–Time Dynamics of Mortality and Recruitment of Stems and Trees in a Seasonally Dry Tropical Forest: Effect of the 2012–2021 Droughts by Maria Beatriz Ferreira, Rinaldo Luiz Caraciolo Ferreira, Jose Antonio Aleixo da Silva, Robson Borges de Lima, Alex Nascimento de Sousa, Marcos Vinícius da Silva

“…An accumulative effect of droughts on increasing mortality rates and reducing recruitment during the study period was observed. …”
Get full text

Primary Mediastinal Germ Cell Tumors: A Real-World Analysis of Clinical Characteristics, Treatment, and Survival Outcomes From Two Tertiary Cancer Centers in India by Bharath Gangadhar, Chitrakshi Nagpal, Aparna Sharma, Bivas Biswas, Somnath Roy, Aditya Bhagwat, Deepam Pushpam, Sameer Bakhshi, Sunil Kumar, Kunhi Parambath Haresh, Atul Batra

“…First-line chemotherapy comprised bleomycin, etoposide, and cisplatin (BEP; 60.5%) and etoposide, ifosfamide, and cisplatin (VIP; 27.8%). Response rates included complete response (25.3%) and partial response (54.4%). …”
Get full text

Non-temperature environmental drivers modulate warming-induced 21st-century permafrost degradation on the Tibetan Plateau by Fu Ziteng, Wu Qingbai, Chen Anping, Wang Luyang, Jiang Guanli, Gao Siru, Yun Hanbo, Chen ji

“…By compiling a 20-year (2001–2020) dataset from 55 in situ monitoring sites, we find permafrost thawing rates increased from 45 ± 15 cm·10a− 1 (2001–2010) to 86 ± 30 cm·10a−1 (2011-2020), while the temperature increasing rates at the top of permafrost rose from 0.15 ± 0.16 oC·10a−1 to 0.38 ± 0.22 oC·10a−1. …”
Get full text

Race, gender and stroke subtypes mortality in São Paulo, Brazil Raça, gênero e mortalidade por subtipos da doença cerebrovascular em São Paulo, Brasil by Paulo A. Lotufo, Alessandra C. Goulart, Isabela M. Bensenor

“…For women, the rates were lower compared to men and the same pattern was observed among Black (125.4), Mixed (88.5) and White (64.1) women. …”
Get full text

Contributions of District Health Information Software 2 (DHIS2) to maternal and child health service performance in Ethiopia: an interrupted time series mixed-methods study by Taddese Alemu Zerfu, Moges Asressie, Amare Abera Tareke, Zenebu Begna, Tigist Habtamu, Netsanet Werkneh, Tariku Nigatu, Meskerem Jisso, Addisalem Genta

“…Specifically, DHIS2 led to increased monthly mean performance of key indicators such as antenatal care visits, skilled birth attendance, and immunization rates. Notable improvements in service delivery were observed, with significant increases in institutional delivery rates over time. …”
Get full text

Global, regional, and national burdens of traumatic brain injury, spinal cord injury, and skull fracture and their attributable risk factors from 1990 to 2021: a systematic analysi... by Yikang Wang

“…Data were presented as both numerical counts and age-standardized rates (ASRs) per 100,000 population, with corresponding uncertainty intervals. …”
Get full text

Cancelable Multi-Branch Deep Learning Framework for Privacy-Preserving ECG Biometric Authentication by Mohamed Hammad, Ali Abdullah S. AlQahtani, Mohammed ELAffendi, Abdelhamied A. Ateya, Nebojsa Bacanin

“…Electrocardiogram (ECG) biometrics are particularly effective because of the unique electrical activity patterns of the heart. However, storing and processing raw ECG data raises privacy and security concerns, requiring advanced methods to safeguard user data. …”
Get full text

Relevance of Cellular Homeostasis-Related Gene Expression Signatures in Distinct Molecular Subtypes of Breast Cancer by Sharda P. Singh, Chathurika S. Dhanasekara, Michael W. Melkus, Chhanda Bose, Sonia Y. Khan, Flavia Sardela de Miranda, Maria F. Mahecha, Prrishti J. Gukhool, Sahil S. Tonk, Se-Ran Jun, Sahra Uygun, Rakhshanda Layeequr Rahman

“…This study aimed to identify the gene expression patterns and biomarkers associated with breast cancer risk and progression by integrating transcriptomic and clinical data. …”
Get full text

Multi-omics derivation of a core gene signature for predicting therapeutic response and characterizing immune dysregulation in inflammatory bowel disease by Mingming Wang, Liping Liang, Zibo Tang, Jimin Han, Lele Wu, Le Liu, Le Liu, Ye Chen, Ye Chen

“…Nomogram-based risk stratification effectively predicted biologic treatment responses across multiple therapeutic classes using four independent treatment datasets (GSE16879, GSE92415, GSE73661, GSE206285): low-risk patients demonstrated superior response rates to golimumab (63.3%), infliximab (54.8%), and vedolizumab (29% vs. 15% in high-risk group). …”
Get full text

Evolutionary trajectory estimation via replication simulation of coronavirus spike gene based on random mutation and similarity-based selection by Min Chan Kim, Hye Ji Jung, Seong Sik Jang, Van Thi Lo, Hye Kwon Kim

“…Simulations tracking the evolution of SARS-CoV-2 Wuhan-Hu-1 toward the Omicron variant (BA.1) displayed plateau-like similarity trajectories, where increased substitution rates resulted in a more rapid attainment of the plateau stage. …”
Get full text

A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons by Liya Li, Liya Li, Ying Hu, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan

“…Our results demonstrate significantly improved axon detection rates across both state-of-the-art and traditional methodologies. …”
Get full text

Deep Learning Approach for Classifying DDoS Attack Traffic in SDN Environments by Mohd Nadeem, Shweta Dwivedi, Rizwan Akhtar, Shameem Ahmad Ansari, Saumya Singh, Eram Fatima Siddiqui, Rajeev Kumar

“…A neural network classifier analyzes this data to identify complex patterns and behaviors associated with DDoS attacks. …”
Get full text

Impact of COVID-19 on Ureteroscopy Management of Urolithiasis: Retrospective Comparative Study Before and After Pandemic by Shota Iijima, Takanobu Utsumi, Naoki Ishitsuka, Takahide Noro, Yuta Suzuki, Yuka Sugizaki, Takatoshi Somoto, Ryo Oka, Takumi Endo, Naoto Kamiya, Hiroyoshi Suzuki

“…Referral sources shifted (<i>p</i> = 0.045), with fewer primary care referrals and more from emergency or higher-level hospitals. Stone-free rates (65.6% vs. 58.7%, <i>p</i> = 0.128) and postoperative complication rates were comparable. …”
Get full text

Potential suitable area prediction of invasive weeds Tithonia diversifolia A. Gray and Synedrella nodiflora L. Gaertn. in China based on the optimized MaxEnt model by Jing XIE, Nishan DUAN, Lijie KONG, Ruiyi XU, Ruoyu AN, Lijuan ZHOU

“…ResultThe standard deviation of temperature seasonal change and the average temperature in the coldest quarter were the main environmental variables affecting the distribution of T. diversifolia, and the sum of their contribution rates reached 70.8%. The range of annual average temperature change, annual average precipitation and precipitation in the wettest month were the main environmental variables affecting the distribution of S. nodiflora, with the sum of their contribution rates reaching 76.7%. …”
Get full text

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. …”
Get full text