Internet of Things Applications for Energy Management in Buildings Using Artificial Intelligence—A Case Study by Izabela Rojek, Dariusz Mikołajewski, Adam Mroziński, Marek Macko, Tomasz Bednarek, Krzysztof Tyburek

“…The overall effectiveness rating was 9/10; thus, AI-based IoT solutions are a feasible, cost-effective, and sustainable approach to office energy management.…”
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Phylogeochemistry: exploring evolutionary constraints on belemnite rostrum element composition by A. Pohle, K. Stevens, R. Hoffmann, A. Immenhauser, A. Immenhauser

“…We used comparative Bayesian phylogenetic tools to reconstruct ancestral states and phenotypic evolutionary rates of these geochemical data based on trees inferred from morphological data. …”
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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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Disentangling the roles of natural variability and climate change in Canada’s 2023 fire season by Clair Barnes, Piyush Jain, Theodore R Keeping, Nathan Gillett, Jonathan Boucher, Philippe Gachon, Dorothy Heinrich, Megan Kirchmeier-Young, Yan Boulanger

“…We find that the annual accumulated daily severity rating (DSR), a measure of weather-related fire risk) is increasing in most ecozones in response to global warming, with the largest increases in the early months of the fire season; although temperatures are increasing everywhere, this effect is offset in some regions by increased precipitation. …”
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Deeply revealing the coupled formation mechanism of inclusions and precipitates in 654NMo ingot by Hongchun Zhu, Xinbo Yan, Huabing Li, Zhiyu He, Zhuowen Ni, Hao Feng, Shucai Zhang, Zhouhua Jiang, Pengchong Lu

“…The inclusion number density is significantly higher at the ingot edge compared to the center, while the bottom zone exhibits a greater density than the top and middle. This distribution pattern is attributed to the higher solidification rates at the edge and bottom. …”
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Multiyear Baleen Endocrine Profiles Suggest a Longer Estimated Gestation in Southern Right Whales (Eubalaena australis) by Loraine Shuttleworth, Andre Ganswindt, Kathleen E. Hunt, Alejandro Fernández Ajó, Estefan Pieterse, S. Mduduzi Seakamela, Chantel Schoeman, Els Vermeulen

“…ABSTRACT Gestation length is a key reproductive parameter influencing fecundity, population growth rates, and the recovery potential of baleen whales. …”
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Using optimization tools to explore stratospheric aerosol injection strategies by E. Brody, Y. Zhang, D. G. MacMartin, D. Visioni, B. Kravitz, B. Kravitz, E. M. Bednarz, E. M. Bednarz, E. M. Bednarz

“…However, the outcomes will depend on how it is deployed: not just how much but also the latitudes of injection and the distribution of injection rates across those latitudes. Different such strategies have been proposed, for example, managing up to three climate metrics simultaneously by injecting at multiple latitudes. …”
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Identification, Evolution and Expression Analyses of the Hox Family in Procambarus clarkii by Xiaoyu WEI, Qian HU, Zemao GU, Yanhe LI

“…The adaptive evolution analysis showed that the Hox genes of crustaceans were mainly subjected to purification selection, and the evolutionary rates of Abd-B and Dfd genes were significantly different between P. clarkii and other crustaceans (P < 0.01). …”
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Radiological features of gait phenotypes in patients with idiopathic normal pressure hydrocephalus by Silvia Nicolosi, Silvia Nicolosi, Massimiliano Todisco, Massimiliano Todisco, Matteo Paoletti, Eduardo Caverzasi, Eduardo Caverzasi, Francesco Tarantino, Elena Ballante, Francesca Valentino, Roberta Zangaglia, Silvia Figini, Silvia Figini, Giuseppe Cosentino, Giuseppe Cosentino, Claudio Pacchetti, Anna Pichiecchio, Anna Pichiecchio

“…We compared the iNPH subtypes assessing differences in eight linear radiological indexes and their clinical correlates.ResultsThe Height of the third ventricle was the only radiological feature that differed between the two motor phenotypes (p &lt; 0.05), being higher in the parkinsonian subtype and showing a trend of correlation with the motor score of the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale and with the continence score of the iNPH Rating Scale. …”
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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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Clinical characteristics of obsessive-compulsive disorder comorbid with obsessive -compulsive personality disorder: subtype implications by Ayse Dondu, Levent Sevincok

“…The severity of current OC symptoms was assessed using the Yale–Brown Obsessive Compulsive Scale (Y-BOCS), while depressive symptoms were measured with the Hamilton Depression Rating Scale (HDRS). Anxiety symptoms were also evaluated using the Hamilton Anxiety Rating Scale (HARS).ResultsAmong 148 OCD patients, 58.8% met the diagnostic criteria for OCPD. …”
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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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Avaliação comparativa e evolutiva dos protocolos de atendimento dos pacientes fissurados Comparative and evolutive evaluation of attendance protocols of patients with clef lip and... by Nivaldo Alonso, Daniela Yukie Sakai Tanikawa, Jonas Eraldo de Lima Junior, Marcus Castro Ferreira

“…Eight surgical categories were related, palate repair (35.18%) was the most utilized one, followed by lip repair (unilateral and bilateral), keeping the same distribution pattern. Secondary procedures had persisted with high rates (approximately 30%), however the number of complications decreased (no fistulae). …”
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Improving Performance of Motor Imagery-Based Brain&#x2013;Computer Interface in Poorly Performing Subjects Using a Hybrid-Imagery Method Utilizing Combined Motor and Somatosensory... by Sangin Park, Jihyeon Ha, Laehyun Kim

“…The phenomena of brain-computer interface-inefficiency in transfer rates and reliability can hinder development and use of brain-computer interface technology. …”
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SERPINA3 predicts long-term neurological outcomes and mortality in patients with intracerebral hemorrhage by Pei Zheng, Zhihui Qi, Bin Gao, Yang Yao, Jingshan Chen, Hengri Cong, Yue Huang, Fu-Dong Shi

“…Abstract Intracerebral hemorrhage (ICH) is a severe stroke subtype with high mortality and disability rates, and long-term outcomes among survivors remain unpredictable due to the lack of reliable biomarkers. …”
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Review of Epidemiological Situation on Rickettsioses in the Russian Federation in 2022 as Compared with 2013–2021, Forecast for 2023 by N. A. Pen’evskaya, N. V. Rudakov, S. N. Shpynov, A. I. Blokh, D. V. Trankvilevsky, D. A. Savel’ev, S. V. Shtrek, A. V. Sannikov

“…The aim of the review was to characterize the epidemiological situation on tick-borne rickettsioses (TR) in the Russian Federation in 2022 in comparison with the pandemic years of 2020–2021 and the pre-pandemic period of 2013–2019, to give the forecast for 2023. During 2013–2022, a pattern was observed in the incidence of rickettsiosis of the tick-borne spotted fever group (with the exception of Astrakhan spotted fever – ASF), that is also characteristic of most other natural focal infections (NFIs): a sharp decrease in registered incidence rates in 2020–2021 with the subsequent increase in 2022 almost up to pre-pandemic levels or even exceedance in some regions. …”
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Psychiatric comorbidities and smoking behavior in chronic obstructive pulmonary disease: A case–control study from a north Indian tertiary Center by Rohit Pathak, Abhishek Pathak, Manish Singh

“…Results: Cases exhibited significantly higher rates of smoking, with regular smokers constituting 51.1% compared to 14.0% of controls (P=0.0001). …”
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IRF-3, IRF-5, and IRF-7 coordinately regulate the type I IFN response in myeloid dendritic cells downstream of MAVS signaling. by Helen M Lazear, Alissa Lancaster, Courtney Wilkins, Mehul S Suthar, Albert Huang, Sarah C Vick, Lisa Clepper, Larissa Thackray, Margaret M Brassil, Herbert W Virgin, Janko Nikolich-Zugich, Ashlee V Moses, Michael Gale, Klaus Früh, Michael S Diamond

“…In pathogenesis studies with two unrelated positive-sense RNA viruses (West Nile virus (WNV) and murine norovirus), TKO mice succumbed at rates greater than DKO mice and equal to or approaching those of mice lacking the type I IFN receptor (Ifnar(-/-)). …”
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