Constitutive modeling and workability characterization of pre-deformed AZ31 magnesium alloy during hot shear-compression deformation by Junsong Jin, Fangtao Chai, Jinchuan Long, Chang Gao, Shaolei Wang, Pan Zeng, Xuefeng Tang, Pan Gong, Mao Zhang, Lei Deng, Xinyun Wang

“…In this study, shear-compression samples (SCS) were employed, and finite element simulations were combined with physical experiments to determine the Mises coefficients in the equivalent stress-strain conversion equation. …”
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Job satisfaction of healthcare professionals in palliative care departments and factors affecting job satisfaction during COVID-19 pandemic by Sinanović Šćepan, Kilibarda Tatjana, Bubanj Saša, Prodović Tanja, Potić Srećko, Sekulić Jelena, Spasić Marko, Subotić Slobodan, Kostić Marina, Petrović Marko, Popović-Ilić Tatjana, Tomović Milena, Aksović Nikola, Milovanović Olivera

“…The aim of this study was to identify internal strengths, weaknesses, threats, and challenges in palliative care management during the C OVID-19 pandemic from the perspective of nurses/medical technicians. Methods. A cross-sectional study was conducted on a 100% sample of nurses/medical technicians working in hospital-based palliative care in two clinics in Belgrade (47 respondents in total). …”
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Radiomics prediction of MGMT promoter methylation in adult diffuse gliomas: a combination of structural MRI, DCE, and DTI by Yuying Liu, Yuying Liu, Zhengyang Zhu, Jianan Zhou, Han Wang, Huiquan Yang, Jinfeng Yin, Yitong Wang, Xin Li, Futao Chen, Qian Li, Zhuoru Jiang, Xi Wu, Danni Ge, Yi Zhang, Xin Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang

“…PurposeTo assess the predictive value of radiomics features extracted from structural MRI, dynamic contrast enhanced (DCE), and diffusion tensor imaging (DTI) in detecting O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation in patients with diffuse gliomas.MethodsRetrospective MRI data of 110 patients were enrolled in this study. …”
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Electrochemical plating of I125 on silver matrix for microsources by D. A. Podsoblyaev, N. A. Nerozin, V. V. Shapovalov, Yu. A. Yakovschits, A. S. Bolonkin, A. V. Dunin, A. A. Goverdovskiy

“…Radioactivity of samples made by developed method with time of coating for 30 or 60 min accounted for 1,12±0,12 mCi and 1.43±0.14 mCi, respectively. …”
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I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data by Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

“…Such mechanisms enable us to learn embedding functions capable of generalizing to new object angle views, facilitating rapid adaptation and efficient reasoning in dynamic contexts as users navigate their environment. Through experiments conducted on three distinct video sequences, our interactive-based method showcases significant performance improvements over fixed training/testing algorithms, even when trained on considerably smaller annotated samples collected through user feedback. …”
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CD4C: Change Detection for Remote Sensing Image Change Captioning by Xiliang Li, Bin Sun, Zhenhua Wu, Shutao Li, Hu Guo

“…Finally, the caption generation module interprets the visual change features extracted by the MDF to produce accurate textual descriptions. Experiments on the LEVIR-CC and Dubai-CC datasets demonstrate that the proposed method outperforms other approaches.…”
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Cross-Domain Adversarial Learning for Sea Surface Temperature Super-Resolution by Wenhui Li, Jingyi Wang, Dan Song, Zhengya Sun, Zhiqiang Wei, An-An Liu

“…Comprehensive experiments validate the effectiveness of our method for SST super-resolution task.…”
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Spectral Super-Resolution Reconstruction of Multispectral Remote Sensing Images via Clustering-Based Spectral Feature by Wang Benlin, Yu Qinglin, Wang Zuo, Li Weitao, Wang Yong, Liu Huan, Gu Shuangxi, Zhang Lingling, Lv Dong

“…To address this, we proposed a jointly fused convolutional neural network for spectral super-resolution (JF-CNNSSR), leveraging spectral reflectance variations across different land cover types. The method employs paired overlapping multispectral (MS) and HS images to develop two spectral mapping networks: a 1-D-CNN spectral mapping network and a 3-D-CNN spectral mapping network, trained class-specifically on clustered spectral samples. …”
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SIGMAR1 screened by a GPCR-related classifier regulates endoplasmic reticulum stress in bladder cancer by Jingming Zhuang, Yang Wang, Xinyong Wu, Zijing Peng, Zhengnan Huang, Chao Zhao, Bing Shen

“…The biological role of SIGMAR1 in BC was investigated through functional experiments and subcutaneous tumour-bearing experiments in nude mice. …”
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Examining naloxone access and interest in secondary naloxone distribution on an American Indian Reservation in the Northern Midwest of the United States by Kristin E. Schneider, Sean T. Allen, Allison O’Rourke, Molly C. Reid, Maisie Conrad, Pam Hughes, Laura Palombi, Toni Wakemup, Andrea Medley, Melissa Walls

“…To date, little is known about naloxone access on tribal reservation lands. Methods: We used cross-sectional survey data from community members on the reservation lands of a northern Midwest Tribe in the United States. …”
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Carbothermic reduction of mechanically activated NiO-carbon mixture: Non-isothermal kinetics by Bakhshandeh S., Setoudeh N., Ali Askari Zamani M., Mohassel A.

“…The kinetics parameters of carbothermic reduction were determined using non-isothermal method (Coats-Redfern Method) for un-milled and milled samples. …”
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CHMMConvScaleNet: a hybrid convolutional neural network and continuous hidden Markov model with multi-scale features for sleep posture detection by Dikun Hu, Weidong Gao, Kai Keng Ang, Mengjiao Hu, Rong Huang, Gang Chuai, Xiaoyan Li

“…We collected continuous real sleep data from 22 participants, yielding a total of 8583 samples from a 32-sensor array. Experiments show that CHMMConvScaleNet achieves a recall of 92.91%, precision of 91.87%, and accuracy of 93.41%, comparable to state-of-the-art methods that require ten times more sensors to achieve a slightly improved accuracy of 96.90% on non-continuous datasets. …”
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A hybrid genetic slime mould algorithm for parameter optimization of field-road trajectory segmentation models by Jiawen Pan, Caicong Wu, Weixin Zhai

“…To maintain the balance between the two capacities, a nonlinear parameter management technique is developed that adaptively modifies the algorithm's computational process based on the fitness distribution deviation of the population. Experiments were conducted on real agricultural trajectory datasets with various sample frequencies, and the proposed algorithm was compared with existing methods to validate its efficiency. …”
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Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome o... by Jakob Blaß, Benjamin Iffland, Philipp Herzog, Tim Kaiser, Thomas Elbert, Carolin Steuwe

“…The choice of an optimal psychotherapy based on patient characteristics remains challenging.Objective: This study develops models to predict the outcome of two psychotherapies for comorbid BPD and PTSD.Method: Data from two trials comparing Narrative Exposure Therapy (NET, N = 40) with Dialectical Behavior Therapy-based treatment (DBT-bt, N = 40) was analysed. …”
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Circulating Tumour DNA in Patients With EGFR‐Mutated Non‐Small‐Cell Lung Cancer and Early Disease Progression After First‐Line Osimertinib Treatment: The ELUCIDATOR Multicentre Pro... by Akihiro Tamiya, Yasuyuki Mizumori, Mitsuo Osuga, Shun‐ichi Isa, Yoshihiko Taniguchi, Keiichi Nakamura, Daijiro Harada, Tsutomu Shinohara, Hidetoshi Yanai, Katsumi Nakatomi, Masahide Oki, Masahide Mori, Tomohito Kuwako, Koji Yamazaki, Atsuhisa Tamura, Masahiko Ando, Yasuhiro Koh

“…Methods This multicentre prospective observational study enrolled patients with advanced NSCLC receiving osimertinib as the first‐line anti‐cancer therapy. …”
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Enhancement of Light Extraction Efficiency Using Wavy-Patterned PDMS Substrates by Jian Cheng Bi, Kyo-Cheol Kang, Jun-Young Park, Junbeom Song, Ji-Sung Lee, Hyejung Lim, Young Wook Park, Byeong-Kwon Ju

“…A rapid fabrication process adjusted the flow, pressure, duration, and power of the O₂ plasma treatment to replicate the desired wavy structure. This method allowed the treated samples to maintain over 90% total transmittance and enabled controlled haze adjustments from 10% to 70%. …”
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Effect of irradiation temperature on the mobility of structural and vacancy defects in the damaged layer of Li2ZrO3 ceramics by Bauyrzhan K. Abyshev, Sholpan G. Giniyatova, Artem L. Kozlovskiy

“…During characterization of the structural changes caused by helium ion irradiation, the main attention was paid to detailing the type of structural defects and radiolysis products arising during irradiation, alongside alterations in their concentration using the electron paramagnetic resonance method. During the experiments, it was determined that the observed effects of thermally stimulated mobility of vacancy defects in the damaged layer caused by irradiation with helium ions indicate a positive effect of thermal heating of samples during irradiation at low fluences. …”
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Enhanced Workload Prediction in Data Centers Using Two-Stage Decomposition and Hybrid Parallel Deep Learning by Dalal Alqahtani, Hamidreza Imani, Tarek El-Ghazawi

“…Following this, Bi-LSTM layers capture the temporal dependencies within the patterns identified by the Conv1D layers. Extensive experiments on various real-world datasets from Google and Alibaba show that CVCBM significantly outperforms the other methods, which makes it a solution for future workload prediction in cloud data centers.…”
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Shifting gears versus sudden stops: qualitative study of consultations about driving in patients with cognitive impairment by Colin Bradley, Carol Sinnott, Tony Foley, Linda Horgan, Kathleen McLoughlin, Cormac Sheehan

“…We aimed to explore GP and patient experiences to understand how the negative impacts associated with FtD consultations may be mitigated.Methods Individual qualitative interviews were conducted with GPs (n=12) and patients/carers (n=6) in Ireland. …”
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The role of game-based learning in dermatology: a scoping review on patient education by Dichitchai Mettarikanon, Chime Eden, Weeratian Tawanwongsri

“…In dermatology—where visual recognition and adherence to treatment are particularly important—GBL may offer unique educational advantages.MethodsThis scoping review aimed to map the existing literature on the use of GBL in dermatology patient education and to identify gaps for future investigation. …”
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