Autism spectrum disorder – the fight of the public against a disease it fails to understand by Minahel Ahmed, Eman Sikandar, Arysha Javid

“…Even though multiple rating scales and checklists have been established, it is preferable to use more performance-based methodologies for assessment and diagnosis [2]. …”
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Diffusion–tensor MRI study of the relationship between glymphatic system asymmetry and onset lateralization in Parkinson’s disease by Zihan Li, Xinxin Miao, Qiumei Zhang, Jun Shen, Yongfeng Jia, Shaoyun Ge, Peixian Ji, Jianwei Wang, Kezhong Zhang, Min Wang

“…Moreover, in RPD patients, the Unified Parkinson’s Disease Rating Scale Part III score showed a negative correlation with the left ALPS index and with AI. …”
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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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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…In this paper, we present ENGRU (Enhanced Gated Recurrent Units), a novel deep learning-based approach for formal verification. …”
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Numerical Simulation Study on the Dynamic Processes and Evolution Laws of Multiple Granular Flows in a Gully by LEI Ming, ZHANG Liang, YE Chen, WANG Xiekang

“…Compared with the first granular flow, subsequent ones feature shorter durations and higher energy dissipation rates. The velocity and displacement of base granules increase significantly as the friction coefficient decreases and the secondary slope increases. …”
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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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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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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
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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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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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DiffuseGaitNet: Improving Parkinson&#x2019;s Disease Gait Severity Assessment With a Diffusion Model Framework by Arshak Rezvani, Nasrin Ravansalar, Mohammad Ali Akhaee, Andrew J. Greenshaw, Russell Greiner, Maryam S. Mirian, Muhammad Yousefnezhad, Martin J. McKeown

“…Assessing the severity of gait impairment in Parkinson&#x2019;s disease (PD) using the Movement Disorder Society&#x2019;s Unified Parkinson&#x2019;s Disease Rating Scale (MDS-UPDRS) is typically performed by clinical experts, but this process is time-consuming, subjective, and costly. …”
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Body mass change over winter is consistently sex-specific across roe deer (Capreolus capreolus) populations by Hewison, A.J. Mark, Bonnot, Nadège C., Gaillard, Jean-Michel, Kjellander, Petter, Lemaitre, Jean-François, Morellet, Nicolas, Pellerin, Maryline

“…We suggest that allocation to antler growth and territory establishment drives this pattern, providing a likely explanation to account for the lower rates of male adult survival that are consistently reported in this weakly dimorphic species.…”
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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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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…In order to overcome these restrictions, this essay suggests a SRR model that integrates Gated Graph Neural Network (GGNN) and Transformer. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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