Belirtili, Belirtisiz ve Takısız Ad Tamlaması in L2-Turkish Evidence From the Learning Difficulties of L1-Greek-speaking learners and Teaching Suggestions by Vasiliki Mavridou

“…However the current case in L2-Turkish teaching/ learning is that the AT category and its sub-sets are treated differently in L2-Turkish grammars and teaching/ learning coursebook material, which is a main reason why AT poses a major acquisition problem for adult L2-Turkish learners. …”
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Dynamic, Interpretable, Machine Learning–Based Outcome Prediction as a New Emerging Opportunity in Acute Ischemic Stroke Patient Care: A Proof-of-Concept Study by Ivan Petrović, Sava Njegovan, Olivera Tomašević, Dmitar Vlahović, Sonja Rajić, Željko Živanović, Isidora Milosavljević, Ana Balenović, Nikola Jorgovanović

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Multimedia Interaktif Sebagai Media Pembelajaran Pada Masa Pandemi Covid 19 by Purbatua Manurung

“… This study aims to analyze the function of alternative learning media (interactive multimedia) during the Covid 19 pandemic. …”
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CLU, FOS, and CXCL8 as diagnostic biomarkers for heart failure progression post-acute myocardial infarction: an integrated RNA-Seq and multi-machine learning study by Jingjing Wei, Peng Yu, Peng Yu, Yucai Hu, Lijie Qiao, Lijie Qiao, Bin Li, Bin Li, Haitao Li, Shiyang Xie, Zhengwei Dong, Aolong Wang, Yilin Zhang, Xinlu Wang, Yongxia Wang, Mingjun Zhu

“…Subsequently, candidate biomarkers were identified using machine learning and the MCODE plugin, with ROC used to describe the accuracy. …”
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The Role of Islamic Boarding Schools in Enhancing Educational Quality and Students’ Learning Motivation: A Case Study at Pondok Pesantren Darussalamah Braja Dewa, East Lampung by Andika Suryanto, Ayu Irmasari, Erna Armiyati

“…  The proliferation of Islamic educational institutions in Indonesia highlights the strategic role of pesantren (Islamic boarding schools) in shaping educational quality and fostering students’ motivation to learn. This study explores how Pondok Pesantren Darussalamah Braja Dewa contributes to improving educational standards and cultivating santri learning enthusiasm through formal, non-formal, and informal learning systems. …”
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Interpretable Machine Learning Predictions of Bruch’s Membrane Opening-Minimum Rim Width Using Retinal Nerve Fiber Layer Values and Visual Field Global Indexes by Sat Byul Seo, Hyun-kyung Cho

“…We developed an interpretable machine learning model that integrates structural and functional parameters to predict BMO-MRW. …”
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Prediction of Lithium-Ion Battery State of Health Using a Deep Hybrid Kernel Extreme Learning Machine Optimized by the Improved Black-Winged Kite Algorithm by Juncheng Fu, Zhengxiang Song, Jinhao Meng, Chunling Wu

“…First, to address the limitations of traditional extreme learning machines (ELMs) in capturing non-linear features and their poor generalization ability, the concepts of auto encoders (AEs) and hybrid kernel functions are introduced to enhance ELM, resulting in the establishment of the DHKELM model for SOH prediction. …”
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LiveDrive AI: A Pilot Study of a Machine Learning-Powered Diagnostic System for Real-Time, Non-Invasive Detection of Mild Cognitive Impairment by Firas Al-Hindawi, Peter Serhan, Yonas E. Geda, Francis Tsow, Teresa Wu, Erica Forzani

“…Alzheimer’s disease (AD) represents a significant global health issue, affecting over 55 million individuals worldwide, with a progressive impact on cognitive and functional abilities. Early detection, particularly of mild cognitive impairment (MCI) as an indicator of potential AD onset, is crucial yet challenging, given the limitations of current diagnostic biomarkers and the need for non-invasive, accessible tools. …”
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Identifying Hub Genes and Immune Cell Infiltration for the Progression of Carotid Atherosclerotic Plaques in the Context of Predictive and Preventive Using Integrative Bioinformati... by Han Zhang, Yinde Huang, Xin Li, Wenbin Chen, Yu Lun, Jian Zhang

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CHILDREN’S GIFTEDNESS AND ASSOCIATED PROBLEMS. THE TWICE EXCEPTIONALITY PHENOMENON. GIFTEDNESS AND LEARNING PROBLEMS. GIFTEDNESS AND ATTENTION DEFICIT/ HYPERACTIVITY DISORDER (А RE... by O. A. Pylaeva

“…According to the available data, approximately 3–5 % of children fall into a category of intellectually gifted ones; some children (2–5 to 20 % or more of all gifted children according to different findings) may have learning problems. The terms “twice-gifted” or “twice-exceptional” are proposed to characterize children with giftedness concurrent with learning problems, attention deficit (including ADHD), or other impairments of cognitive functions and behavior (including oppositional disorder and obsessive-compulsive disorder). …”
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Analysis of Gillnet Fishery Business for Narrow-Barred Spanish Mackerel and Indo-Pacific Mackerel: Lesson Learned From KUB Kampung Baru in Muara Kintap, Indonesia by AHMADI AHMADI

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The death of a neurotrauma trial lessons learned from the prematurely halted randomized evaluation of surgery in elderly with traumatic acute subdural hematoma (RESET-ASDH) trial by R.D. Singh, J.T.J.M. van Dijck, T.A. van Essen, H.P. Nix, R.J.G. Vreeburg, H.F. den Boogert, G.C.W. de Ruiter, B. Depreitere, W.C. Peul

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WASH and learn: a scoping review of health, education and gender equity outcomes of school-based water, sanitation and hygiene in low-income and middle-income countries by Robert Dreibelbis, Kondwani Chidziwisano, Clara MacLeod, Laura Braun, Jenala Chipungu, Sarah Bick, Katherine Davies, Mwamba Mwenge

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Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

“…According to the taxonomy, each deep learning model is discussed, encompassing its core functionality and a critical assessment of its suitability for imaging-based SARS-CoV-2 detection. …”
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Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine (Pinus massoniana) by Jinjin Chen, Xuejian Li, Zihao Huang, Jie Xuan, Chao Chen, Mengchen Hu, Cheng Tan, Yongxia Zhou, Yinyin Zhao, Jiacong Yu, Lei Huang, Meixuan Song, Huaqiang Du

“…The assessment of ecological functions, such as those of forest structure zoning and carbon sinks, heavily relies on forest age classification. …”
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Comparative assessment of machine learning algorithms for retrieving colored dissolved organic matter (CDOM) from Sentinel-2/MSI images in the coastal waters of the Persian Gulf by Bonyad Ahmadi, Mehdi Gholamalifard, Seyed Mahmoud Ghasempouri, Tiit Kutser

“…Colored Dissolved Organic Matter, a pivotal component of aquatic biogeochemical cycles, plays a critical role in regulating water quality and ecosystem functionality. This study provides the first comprehensive assessment of CDOM dynamics in the Persian Gulf's industrialized coastal waters, focusing on the Pars Special Economic Energy Zone (PSEEZ)—a global energy epicenter and the world's largest natural gas reserve. …”
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Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Usin... by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

“…MethodsWe integrated 4 components into our framework: a medical pretrained BERT, a keyword filtration BERT in a functional order, a fine-tuning phase, and task-specific prompt learning utilizing mixed templates and soft verbalizers. …”
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Multi-omics analysis reveals the role of ribosome biogenesis in malignant clear cell renal cell carcinoma and the development of a machine learning-based prognostic model by Zhouzhou Xie, Zhouzhou Xie, Shansen Peng, Shansen Peng, Jiongming Wang, Jiongming Wang, Yueting Huang, Yueting Huang, Xiaoqi Zhou, Xiaoqi Zhou, Guihao Zhang, Guihao Zhang, Huiming Jiang, Huiming Jiang, Kaihua Zhong, Kaihua Zhong, Lingsong Feng, Lingsong Feng, Nanhui Chen, Nanhui Chen

“…A prognostic model based on a Ribosis-related signature (RBRS) was built using 118 machine learning algorithm combinations and validated in internal and external cohorts. …”
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Analisis Program Pembelajaran Berbasis Higher Order Thinking Skills di MI At-Taqwa GUPPI Wojowalur Daerah Istimewa Yogyakarta Tahun Ajaran 2018/2019 by Eka Yusnaldi, Fia Alifah Putri, Wahyu Iskandar

“… The rules 2013 Curriculum is very interested in providing learning processes and items that have Higher Order Thinking Skills (HOTS) degrees for students. …”
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Computational Estimation of Football Player Wages by Yaldo L., Shamir L.

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