Investigation of methicillin, beta lactam, carbapenem, and multidrug resistant bacteria from blood cultures of septicemia suspected patients in Northwest Ethiopia by Abebe Birhanu, Getachew Gebre, Eden Getaneh, Hana Yohannes, Netsanet Baye, Gizeaddis Belay Mersha, Mitkie Tigabie, Mulat Dagnew, Getachew Ferede, Teshiwal Deress, Wondwossen Abebe

“…Gram-positive bacteria, particularly S. aureus, and gram-negative bacteria like K. pneumoniae and E. coli were predominant. High rates of methicillin, beta-lactam, and carbapenem resistance were observed, emphasizing the magnitude of antimicrobial resistance. …”
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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. …”
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Wind Speed Forecasting in the Greek Seas Using Hybrid Artificial Neural Networks by Lateef Adesola Afolabi, Takvor Soukissian, Diego Vicinanza, Pasquale Contestabile

“…Of all the ANNs examined, the hybrid model combining Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks demonstrated superior forecasting performance compared to the individual models, as evaluated by standard statistical metrics, while it also exhibited a very good performance at high wind speeds, i.e., greater than 15 m/s. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…Hybrid forecasting models were then constructed by integrating VMD with both statistical (autoregressive integrated moving average [ARIMA]) and deep learning (gated recurrent unit [GRU], long short-term memory [LSTM], and Transformer) architectures. …”
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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. …”
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Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

“…With the increasing demand for training efficiency, mixture-of-experts (MoEs) has become essential for scaling large models by selectively activating sub-networks of experts through a gating network, thereby optimizing performance. This paper presents molecular MoL-MoE, a multi-view MoEs framework designed to predict molecular properties by integrating latent spaces derived from SMILES, SELFIES, and molecular graphs. …”
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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. …”
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Hybrid GIS-Transformer Approach for Forecasting Sentinel-1 Displacement Time Series by Lama Moualla, Alessio Rucci, Giampiero Naletto, Nantheera Anantrasirichai, Vania Da Deppo

“…To address this, a Time-Gated LSTM (TG-LSTM) was implemented. TG-LSTM outperformed standard LSTM for irregular data in one-step prediction but faced limitations in handling heteroscedasticity and computational cost during multi-step forecasting. …”
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Adherence to the Singapore Integrated 24 h Activity Guidelines for Pre-Primary School Children Before, During and After the COVID-19 Lockdown in Singapore by Seow Ting Low, Terence Buan Kiong Chua, Dan Li, Michael Chia

“…The COVID-19 pandemic has significantly disrupted the lives of pre-primary school children in Singapore where increased infection rates prompted lockdown measures that altered children’s daily routines. …”
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Optical and photoluminescence characteristics of Pr3+-doped P2O5 +BaO+La2O3 glasses by C.R. Kesavulu, Ch. Basavapoornima, Pikkili Ramprasad, C.J. Deviprasad, Shobha Rani Depuru, C.K. Jayasankar

“…A luminescence peak at 600 nm was used as a monitoring level, and a 445 nm excitation was used to assess the decay curves. The decay rates exhibit a bi-exponential pattern, meaning that as the concentration of Pr3+ ions increase, the lifetimes become shorter. …”
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Numerical Study on the Influence of Inlet Blockage Ratios and Flow Conditions on Scour Development in Circular Culverts by Salam Hussein Sulaiman, Kaywan Othman Ahmed, Mohsen Isari, Jamil Bahrami

“…Each hydrograph included seven different flow discharges, and steady flow tests were conducted at the maximum rates observed during the unsteady scenarios. This study examined circular culverts subjected to inlet blockages of 0%, 25%, and 50% and compared the numerical result from Flow-3D simulations utilizing the Renormalization Group (RNG) turbulence model with observed data. …”
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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…The ML model, trained on data from various operating conditions and performance parameters, aims to uncover intricate relationships and patterns, resembling GT characteristics at different scales (ratings). …”
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Consensus-Driven Development of an Exercise Base Manual Programme for Prediabetic Patients: A Delphi Study by Hafeez S, Shakil-Ur-Rehman S, Riaz S, Hafeez S, Hafeez JS, Mumtaz H

“…Initial recommendations were rated by panalists through a 5-point Likert scale. …”
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Use of complementary medicine and uptake of COVID-19 vaccination among US adults by Holger Cramer, Holger Cramer, Mirela Bilc, Mirela Bilc

“…However, vaccination uptake was lower for both COVID-19 and flu vaccines, respectively, in individuals who visited chiropractors (AOR = 0.78, 95% CI [0.69, 0.89], p < 0.001; AOR = 0.71, 95% CI [0.63, 0.81], p < 0.001) and naturopaths (AOR = 0.66, 95% CI [0.51, 0.86], p = 0.002; AOR = 0.72, 95% CI [0.55, 0.94], p = 0.017). Uptake rates for both COVID-19 and flu vaccines were higher among individuals who visited an acupuncturist (COVID-19: AOR = 1.46, 95% CI [1.15, 1.86], p = 0.002; flu: AOR = 1.32, 95% CI [1.08, 1.63], p = 0.008). …”
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The association between cognitive ability and body mass index: A sibling-comparison analysis in four longitudinal studies. by Liam Wright, Neil M Davies, David Bann

“…<h4>Background</h4>Body mass index (BMI) and obesity rates have increased sharply since the 1980s. While multiple epidemiologic studies have found that higher adolescent cognitive ability is associated with lower adult BMI, residual and unobserved confounding due to family background may explain these associations. …”
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Impact of LDL-C levels on severity and outcome of intracranial haemorrhage: a single-centre retrospective study by Kang-Po Lee, Li-Chi Hsu

“…Moreover, statin use is associated with better long-term outcome and may attenuate the effects of initial LDL-C in ICH patients.Conclusions In patients with ICH, particularly those with deep ICH, lower LDL-C levels are associated with more severe ICH and higher short-term and long-term mortality rates. Further randomised controlled trials are warranted to determine the optimal LDL-C levels in patients with ICH and dyslipidaemia.…”
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A Global Systematic Review and Meta‐Analysis of Methods Used to Evaluate Predation and Diet of Domestic Cats (Felis catus) by Hannah L. Lockwood, Maren Huck

“…Palatability and detectability of prey appear to influence the data reported, and these aspects should be considered when calculating total predation rates.…”
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The Use of Sound Recorders to Remotely Measure Grass Intake Behaviour in Horses by Daisy E. F. Taylor, Bryony E. Lancaster, Andrea D. Ellis

“…Grazing was identified audibly (SR_ear) and visually through soundwave pattern software (SR_wav). Chew rates (SR_ear: 47 ± 5 chews/min, VD: 43 ± 4 chews/min) were similar between methods. …”
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Perennial and Non‐Perennial Streamflow Regime Shifts Across California, USA by Jessica R. Ayers, Sarah M. Yarnell, Ethan Baruch, Robert A. Lusardi, Theodore E. Grantham

“…Streams impacted by human activities had greater drying rates, but regulation has caused some non‐perennial streams to become perennial. …”
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Integrated evaluation and optimization of acid fracturing effectiveness in carbonate reservoirs: Experimental insights and field validation. by Peng Lu, Songlei Li, Jinsong Liu, Nan Yuan, Heng Liu

“…Implementation of the proposed methodology has increased stimulation success rates from 55% to 82% in pilot fields, with sustained production gains exceeding 35%. …”
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