Profiling 4C Skills Through PISA-Based Mathematics Tasks: A Contextual Analysis of Junior High School Students by Sinta Dameria Simanjuntak, Sahat Saragih, Israil Sitepu, Sondang Noverica

“…Employing a qualitative descriptive design, data were collected from 31 students using two PISA tasks and an unstructured teacher interview. …”
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Systemic Dynamics of Knowledge Sharing and Digital Transformation: Evidence from Bhutanese MSEs by Rob Kim Marjerison, Jin Young Jun, Jong Min Kim

“…Drawing on an integrative theoretical framework combining diffusion of innovations theory, the resource-based view, and institutional theory, survey data from 217 MSEs were analyzed using regression and interaction modeling techniques. …”
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A Systematic Literature Review of Financial Product Recommendation Systems by Di Wu, Xuhui Li

“…Exploring the potential correlations among financial time series enables accurate and rapid prediction of price trends. Characterizing unstructured data using text-mining techniques can improve the accuracy of the model. …”
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Psychodrama: implementation, study design and effectiveness: a systematic review by Jesús Maya, Miriam Pérez-Berbel, Laura Giraldo-Arroyave, Irene Hurtado

“…However, the methodological design of psychodrama needs improvement: RCTs and quasi-experimental designs, larger sample sizes, follow-up evaluations, and effect size measurement. Additionally, structuring interventions and their manualization in specific populations can help establish evidence-based treatments.…”
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Algorithms of diagnosis and therapy of a primary depressive episode by V. L. Pidlubnyi, V. S. Makoid

“…An algorithm for the PDE diagnosis has been developed based upon four stages: the first one – the symptomatic state diagnosis; the second – clinical-ethological analysis of depressive phenomenon signs and a neurophysiological electroencephalographic (EEG) examination; the third – psycho-experimental examinations using appropriate tools; the fourth – structuring of the obtained diagnostic data, diagnosis verification and development of therapeutic intervention tactics. …”
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The nuclear immune receptor RPS4 is required for RRS1SLH1-dependent constitutive defense activation in Arabidopsis thaliana. by Kee Hoon Sohn, Cécile Segonzac, Ghanasyam Rallapalli, Panagiotis F Sarris, Joo Yong Woo, Simon J Williams, Toby E Newman, Kyung Hee Paek, Bostjan Kobe, Jonathan D G Jones

“…Plant nucleotide-binding leucine-rich repeat (NB-LRR) disease resistance (R) proteins recognize specific "avirulent" pathogen effectors and activate immune responses. NB-LRR proteins structurally and functionally resemble mammalian Nod-like receptors (NLRs). …”
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Correlation with viruses enhances network complexity and stability of co-occurrence prokaryotes across the oceans by Bo Wang, Yantao Liang, Kaiyue Lian, Chuyu Zhang, Meiaoxue Han, Min Wang, Hongbing Shao, Andrew McMinn, Hualong Wang

“…However, the mechanisms behind the association and structuring of microbiomes with viruses still remain largely unknown. …”
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Metagenomics-assembled genomes reveal microbial metabolic adaptation to athalassohaline environment, the case Lake Barkol, China by Maripat Xamxidin, Xuanqi Zhang, Gang Zheng, Can Chen, Min Wu

“…Overall, this study reveals extensive taxonomic novelty and functional plasticity among microbial communities in Lake Barkol and underscores the influence of salinity in structuring microbial assemblages and metabolic pathways in athalassohaline ecosystems.…”
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Examination of Inter‐α Inhibitor Proteins in Permanent and Transient Focal Ischemia by Takahiko Imai, Andreia Lopes de Morais, Tao Qin, Yuichi Sasaki, Yow‐Pin Lim, Cenk Ayata

“…Inter‐α inhibitor proteins (IαIPs) are a family of structurally related glycoproteins with 2 major forms (inter‐α inhibitor and pre‐α inhibitor) in blood. …”
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Ability to form duplexes as a factor of intracellular microRNA distribution by S. A. Kuzmichev, A. V. Komelkov, E. M. Tchevkina

“…The regulation of the content of mature microRNAs (miRNAs) in different cell compartments – the nucleus (N) and the cytoplasm (C) – makes it possible to control their availability for participation in RNA-mediated interference processes. Structurally different miRNAs, processed from different precursors (pre-miRNA), can form duplexes between molecules containing complementary sequences. …”
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UAV-OVD: Open-Vocabulary Object Detection in UAV Imagery via Multi-Level Text-Guided Decoding by Lijie Tao, Guoting Wei, Zhuo Wang, Zhaoshuai Qi, Ying Li, Haokui Zhang

“…First, at the training level, we design a region–text contrastive loss to replace conventional classification loss, allowing the model to align visual regions with textual descriptions beyond fixed category sets. Structurally, building on this, we introduce a multi-level text-guided fusion decoder that integrates visual features across multiple spatial scales under language guidance, thereby improving overall detection performance and enhancing the representation and perception of small objects. …”
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Qalification assessment practices: new possibilities and constraints by M. N. Kicherova, M. Yu. Semenov, E. V. Zyuban

“…The methodological framework of the research is based on the principles of the activity approach and the concept of structuration, in which the practice of qualifications assessment is viewed as a combination of social relations between individual and collective actors in the space of social and labour relations. …”
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Three-Dimensional Forward Modeling and Inversion Study of Transient Electromagnetic Method Considering Inhomogeneous Magnetic Permeability by Chenyu Wang, Yan Dong, Jingyu Gao, Handong Tan, Yingge Wang, Weiyu Dong

“…However, in regions with igneous rock accumulations or where the subsurface is rich in ferromagnetic minerals, neglecting the magnetic properties of the underground medium may lead to erroneous interpretations for TEM data. This paper conducts a 3-D TEM forward modeling and inversion study considering the non-uniformity cases of magnetic permeability. 3-D TEM forward modeling employs an edge-based finite element method using unstructured grids and a second-order implicit backward Euler method, achieving a modeling algorithm that simultaneously considers non-uniform models of magnetic permeability and resis-tivity. …”
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Quantifying brain development in the HEALthy Brain and Child Development (HBCD) Study: The magnetic resonance imaging and spectroscopy protocol by Douglas C. Dean, III, M Dylan Tisdall, Jessica L. Wisnowski, Eric Feczko, Borjan Gagoski, Andrew L. Alexander, Richard A.E. Edden, Wei Gao, Timothy J. Hendrickson, Brittany R. Howell, Hao Huang, Kathryn L. Humphreys, Tracy Riggins, Chad M. Sylvester, Kimberly B. Weldon, Essa Yacoub, Banu Ahtam, Natacha Beck, Suchandrima Banerjee, Sergiy Boroday, Arvind Caprihan, Bryan Caron, Samuel Carpenter, Yulin Chang, Ai Wern Chung, Matthew Cieslak, William T. Clarke, Anders Dale, Samir Das, Christopher W. Davies-Jenkins, Alexander J. Dufford, Alan C. Evans, Laetitia Fesselier, Sandeep K. Ganji, Guillaume Gilbert, Alice M. Graham, Aaron T. Gudmundson, Maren Macgregor-Hannah, Michael P. Harms, Tom Hilbert, Steve C.N. Hui, M. Okan Irfanoglu, Steven Kecskemeti, Tobias Kober, Joshua M. Kuperman, Bidhan Lamichhane, Bennett A. Landman, Xavier Lecour-Bourcher, Erik G. Lee, Xu Li, Leigh MacIntyre, Cecile Madjar, Mary Kate Manhard, Andrew R. Mayer, Kahini Mehta, Lucille A. Moore, Saipavitra Murali-Manohar, Cristian Navarro, Mary Beth Nebel, Sharlene D. Newman, Allen T. Newton, Ralph Noeske, Elizabeth S. Norton, Georg Oeltzschner, Regis Ongaro-Carcy, Xiawei Ou, Minhui Ouyang, Todd B. Parrish, James J. Pekar, Thomas Pengo, Carlo Pierpaoli, Russell A. Poldrack, Vidya Rajagopalan, Dan W. Rettmann, Pierre Rioux, Jens T. Rosenberg, Taylor Salo, Theodore D. Satterthwaite, Lisa S. Scott, Eunkyung Shin, Gizeaddis Simegn, W. Kyle Simmons, Yulu Song, Barry J. Tikalsky, Jean Tkach, Peter C.M. van Zijl, Jennifer Vannest, Maarten Versluis, Yansong Zhao, Helge J. Zöllner, Damien A. Fair, Christopher D. Smyser, Jed T. Elison

“…The HBCD MRI Working Group aimed to establish a core acquisition protocol for all 27 HBCD Study recruitment sites to measure brain structure, function, microstructure, and metabolites. …”
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Construction of a transfer learning-based depression detection model for female breast cancer patients: text sentiment analysis by Jiaqi Fu, Shisi Deng, Wanting Zheng, Chunrao Zheng, Jianhong Liu, Wenji Li, Yinghua Zeng, Hongpo Xie, Yuchang Mai, Chaixiu Li, Jie Lai, Yujie Zhang, Zihan Guo, Jianyao Tang, Chuhan Zhong, Huihui Zhao, Yanni Wu

“…Future work should expand demographic diversity and integrate multimodal data for enhanced clinical utility.…”
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A Position- and Similarity-Aware Named Entity Recognition Model for Power Equipment Maintenance Work Orders by Ziming Wei, Shaocheng Qu, Li Zhao, Qianqian Shi, Chen Zhang

“…However, due to limited research into automated information extraction, valuable operational and maintenance data remain underutilized. A key challenge is recognizing unstructured Chinese maintenance texts filled with specialized and abbreviated terms unique to the power sector. …”
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A rapid recognition method for radar active jamming based on the Hybrid 3_CNN‐Transformer model by Jingjing Wei, Lei Yu, Yinsheng Wei, Rongqing Xu

“…For scenarios with limited data, a rapid active jamming recognition method based on the Hybrid 3_CNN‐Transformer model is proposed. …”
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Forward Modeling Analysis in Advanced Exploration of Cross-Hole Grounded-Wire-Source Transient Electromagnetic Method by Jiao Zhu, Zhihai Jiang, Maofei Li, Zhonghao Dou, Zhaofeng Gao

“…The collected data are processed using differential techniques, and the results confirm the method’s effectiveness in detecting anomalies. …”
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Incorporating cost considerations into shared decision-making: lessons from Bulgaria by Guenka Petrova, Maria Kamusheva, Konstantin Tachkov, Maria Dimitrova, Teodora Chamova, Yoana Seitaridou, Vera Stoeva, Martin Donchev, Maya Hristova, Bertalan Nemeth, Zsuzsanna Ida Petyko, François Houÿez

“…The study was based on data collected through focus groups and semi-guided interviews conducted separately with both patients and HCPs. …”
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Epidemiological and clinical features of lymphoproliferative diseases in the head and neck region by F. Sh. Kamolova, A. M. Mudunov, P. A. Zeynalova, L. Yu. Grivtsova, G. F. Allakhverdieva, R. I. Azizyan, A. A. Akhundov, I. A. Zaderenko, M. V. Bolotin, D. K. Stelmakh, V. I. Sokorutov, K. D. Il’kaev, V. T. Tsiklauri, I. M. Gelfand, M. B. Pak, O. L. Timofeeva, Yu. E. Ryabukhina, F. M. Abbasbeyli, Ts. Chzhao

“…The high heterogeneity of lymphomas in the head and neck area requires structuring knowledge about their epidemiology and clinical manifestations.Objective: to study the epidemiological and clinical features of the head and neck lymphoproliferative diseases, which will lead to an improvement in diagnostic quality of this nosology’s.Materials and methods. …”
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