Exploring EFL learners’ Linguistic Error and/or Mistakes: Causes, and Correction Techniques by Diyar Mzury

“…It first explains the significance of the distinction between ‘errors’ and ‘mistakes’ as the distinction plays an instrumental role in treating and correcting them differently. It also highlights the causes behind errors and/or mistakes and proposes various correction techniques to address them. …”
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Carbon co-benefits of digital economy and green finance: empirical evidence from China by Yayun Ren, Xiaohang Xu, Yantuan Yu, Zhenhua Zhang

“…These findings are robust across various validation tests, including time-placebo test, alternative model specification, and double machine learning algorithms. According to mechanisms analysis, improving green technological innovation and human capital level are the main channels that DEGF produces carbon co-benefits. …”
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Protected grounds of discrimination and the risk of workplace bullying by Michael Rosander, Helge Hoel, Stefan Blomberg

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Transformative Spinal Surgery: Lateral Position Unilateral Biportal Endoscopic Discectomy by Jipin Gopi, Sharafuddeen Mammu, Aarabhy Jayan, Jamshad O P, Fijad N R, Vaisakh VK

“…This approach could offer a viable solution for treating degenerative spinal diseases while mitigating the steep learning curve associated with ESS. …”
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Health-Related Issues of Immersive Technologies: A Systematic Literature Review by Nkosikhona Theoren Msweli, Mampilo Phahlane

“…These technologies provide significant benefits, such as enhanced learning, improved patient outcomes, and innovative rehabilitation tools. …”
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The role of cardiac ultrasound virtual simulation technology in the construction of clinical diagnostic reasoning of structural heart diseases by Qianyun Wang, Feifei Wang, Can jiang, Jun Guo

“…Furthermore, the majorityof students in the VR group displayed satisfaction with course experience, learning effect, teaching evaluation, and overall evaluation. …”
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Prioritization of Lipid Metabolism Targets for the Diagnosis and Treatment of Cardiovascular Diseases by Zhihua Wang, Shuo Chen, Fanshun Zhang, Shamil Akhmedov, Jianping Weng, Suowen Xu

“…Comparison and interaction analysis identified 13 therapeutic targets with potential for treating CVD and its complications. A machine learning model incorporating 5 proteins for CVD prediction achieved a high accuracy of 96.1%, suggesting its potential as a diagnostic tool in clinical practice. …”
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Multidimensional bioinformatics analysis of chondrosarcoma subtypes and TGF-β signaling networks using big data approaches by Shengke Li, Junteng Chen, Fuping He, Maosheng Wang, Jun Liu, Hui Xie

“…Pseudotime analysis charted differentiation trajectories, while machine learning models evaluated the classification accuracy of gene expression patterns. …”
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Effect of epigallocatechin-3-gallate (EGCG) on cognitive functioning and the expression of APP and BDNF in the hippocampus of rats with streptozotocin -induced Alzheimer-like disea... by Farnaz Ghayour Babaei, Ehsan Saburi, Fatemeh Forouzanfar, Mohadese Asgari, Zakieh Keshavarzi, Vahid Hajali

“…AD animals had decreased levels of hippocampal BDNF and treating with dose 25 mg/kg of EGCG could significantly increase it (P < 0.05). …”
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Advancements in the application of artificial intelligence in the field of colorectal cancer by Mengying Zhu, Mengying Zhu, Zhenzhu Zhai, Yue Wang, Fang Chen, Ruibin Liu, Ruibin Liu, Xiaoquan Yang, Guohua Zhao

“…AI, utilizing machine learning (ML) and deep learning (DL) algorithms, improves early detection, diagnosis, and treatment by processing large volumes of medical data, uncovering hidden patterns, and forecasting disease development. …”
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Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm by El-Sayed M. El-Kenawy, Nima Khodadadi, Marwa M. Eid, Ehsaneh Khodadadi, Ehsan Khodadadi, Doaa Sami Khafaga, Amel Ali Alhussan, Abdelhameed Ibrahim, Mohamed Saber

“…Abstract With the advancement of medical technology, a large amount of complex data on cancers is produced for diagnosing and treating cancers. However, not all this data is useful, as many features are redundant or irrelevant, which can reduce the accuracy of machine learning models. …”
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An attention-based multiscale few-shot network for water body extraction from GF-2 satellite imagery by Shenghua Jin, Tao Jiang, Jiamin Jiang, Qingguo Wu, Long Huang, Yongtao Yu

“…This paper introduces a novel perspective by treating water body extraction as a few-shot semantic segmentation task, aiming for generalization across diverse geographic regions. …”
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Acquisition and maintenance of disgust reactions in an OCD analogue sample: Efficiency of extinction strategies through a counter-conditioning procedure. by Caroline Novara, Cindy Lebrun, Alexandra Macgregor, Bruno Vivet, Pierre Thérouanne, Delphine Capdevielle, Stephane Raffard

“…<h4>Methods</h4>The two groups completed a differential associative learning task in which neutral images were followed by disgusting images (conditioned stimulus; CS+), or not (CS-). …”
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Chemotherapy and cognitive function: comprehensive review on methotrexate‐induced chemobrain by Nadine C. Sabry, Haidy E. Michel, Esther T. Menze

“…It was initially employed for treating different cancer types as well as several anti-inflammatory and/ or immunological disorders. …”
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Neuronal heterogeneity in the ventral tegmental area: Distinct contributions to reward circuitry and motivated behavior by N. Dalton Fitzgerald, Jeremy J. Day

“…Understanding VTA cell type heterogeneity may yield new insights into the reward system, offering potential avenues for treating substance use disorders and other related conditions.…”
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Remote Sensing Perspective on Monitoring and Predicting Underground Energy Sources Storage Environmental Impacts: Literature Review by Aleksandra Kaczmarek, Jan Blachowski

“…The review covers modelling and prediction methods used to analyze the environmental impacts of UGS, with data-driven models employing geostatistical tools and machine learning algorithms. The limited number of contributions treating geological storage sites holistically opens perspectives for the development of complex approaches capable of monitoring and modelling its environmental impacts.…”
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FibroRegNet: A Regression Framework for the Pulmonary Fibrosis Prognosis Prediction Using a Convolutional Spatial Transformer Network by Pardhasaradhi Mittapalli, V. Thanikaiselvan

“…Predicting the growth of idiopathic pulmonary fibrosis (IPF) is crucial for effectively treating patients affected by the disease. While the Forced Vital Capacity (FVC) serves as one of the indicators of lung functionality, accurately determining its decline solely based on previous FVC values presents a significant obstacle. …”
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Further education in psychedelic-assisted therapy – experiences from Switzerland by H.D. Aicher, F. Müller, P. Gasser

“…Abstract The growing interest in psychedelic-assisted therapy (PAT) for treating psychiatric disorders such as treatment-resistant depression, PTSD, and anxiety has led to an increasing demand for specialized training. …”
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A Case of Tuberculous Meningitis With Concomitant Spinal Co-infection With Tuberculosis and by Candice A. Sternberg MD, Andres Martinez DO, Ayoola Olayiwola MD, Maria Morel Almonte MD, Christine A. Vu PharmD, Tanya Quiroz MSN, Nadine Montreuil MD, Folusakin Ayoade MD

“…This case can serve as a guide for other providers who need to treat cases of TB and Aspergillosis co-infection by learning from our experience and paying attention to potential pitfalls.…”
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A High-Order Hybrid Approach Integrating Neural Networks and Fast Poisson Solvers for Elliptic Interface Problems by Yiming Ren, Shan Zhao

“…In this work, machine learning techniques are utilized to directly predict these Cartesian derivative jumps without involving the unknown solution. …”
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