Eco-innovative approaches for recycling non-polyester/cotton blended textiles by Chandra Manivannan Arun, Logeshwaran Panneerselvan, Gunasekhar Nachimuthu, Meredith Conaty, Thava Palanisami

“…In the sorting stage, integrating artificial intelligence (AI) and machine learning (ML) enhances efficiency and accuracy. Advanced methods, such as green chemistry, mechanical recycling, and enzymatic treatments, have proven effective for most blended textiles; however, fibers, such as polypropylene, still lack defined closed-loop recycling routes. …”
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Rapid changes in plasma corticosterone and medial amygdala transcriptome profiles during social status change reveal molecular pathways associated with a major life history transit... by Tyler M Milewski, Won Lee, Rebecca L Young, Hans A Hofmann, James P Curley

“…Further, increases in genes associated with synaptic plasticity, excitatory glutamatergic signaling and learning and memory pathways were observed in transitioning animals suggesting that these processes may support rapid social status changes.…”
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Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

“…Firstly, it employs the Elite Centroid Quasi-Oppositional Base Learning (ECQOBL) approach to improve the exploitation capabilities of conventional algorithms. …”
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Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM by Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata

“…This study aims to develop a deep learning model capable of reconstructing complete 12-lead ECG waveforms using a minimal number of chest leads, thereby optimizing lead configurations for wearable ECG systems. …”
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College algebra students’ perceptions of exam errors and the problem-solving process by Mary E. Pilgrim, Linda C. Burks, Megan Ryals, Sloan Hill-Lindsay

“…Given the poor success rates often attributed to these courses, researchers have been looking for ways in which to better support student learning, such as examining the impact of enhancing study habits and skills and metacognitive knowledge. …”
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Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network by Guimei Yin, Jie Yuan, Yanjun Chen, Guangxing Guo, Dongli Shi, Lin Wang, Zilong Zhao, Yanli Zhao, Manjie Zhang, Yuan Dong, Bin Wang, Shuping Tan

“…Abstract Previous deep learning-based brain network research has made significant progress in understanding the pathophysiology of schizophrenia. …”
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The role of teachers’ beliefs and professional development in students’ mathematics motivation in primary education by Laura H. L. Niemi, Marja Holm, Eeva Haataja, Pia Ilomanni, Anu Laine

“…Given that teachers can play a significant role in fostering student motivation, the aim of this study was to investigate teachers’ influence on students’ motivation to learn mathematics. Alongside the teacher’s influence, we also aim to explore the impact of individual factors on students’ motivation. …”
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The role of music performance anxiety in musical training: four personal histories by Oscar Casanova, María Elena Riaño, Francisco Javier Zarza-Alzugaray, Santos Orejudo

“…Institutions of musical learning can help students cope with this disorder by encouraging musical creativity and selecting educators who apply empathetic teaching styles well-adapted to their pupils’ needs. …”
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Clinicians’ experience with infographic summaries from the BMJ Rapid Recommendations: a qualitative user-testing study among residents and interns at a large teaching hospital in S... by Thomas Agoritsas, Per Vandvik, Tiffany Hirschel

“…Some users felt intimidated by numbers or the amount of information, although they perceived there could be a learning curve while using generic formats. Plain language summaries helped complement the visuals but could be further highlighted. …”
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Toll-like receptors in atopic dermatitis: pathogenesis and therapeutic implications by Ahmad Vafaeian, Fateme Rajabi, Nima Rezaei

“…Future directions include CRISPR-based gene editing to understand TLR functions, development of specific TLR modulators for targeted therapy, and machine learning applications to predict drug responses and identify novel ligands. …”
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Sensation seeking and risk adjustment: the role of reward sensitivity in dynamic risky decisions by Yin Qianlan, Chen Shou, Hou Tianya, Dong Wei, Taosheng Liu

“…By integrating the reinforcement learning model and neural measures obtained from dynamic risk-taking tasks, we aim to explore how these personality traits influence individual decision-making processes and engagement in risk-related activities. …”
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TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence by Bilal Tahir, Muhammad Amir Mehmood

“…TepiSense compares the performance of 3 feature extraction techniques, 9 machine/deep learning models, and 3 Large Language Models (LLMs). …”
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Standard abbreviations in students' translations from English into Serbian by Gavranović Valentina M., Čorboloković Saša S.

“…The implication of this study relates to a need to create a teaching and learning framework that focuses on the similarities and differences between the two languages, by contrasting examples in context, so that students can better understand the nature of this orthographic aspect.…”
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DIGITALISATION OF CRISIS MANAGEMENT AND RESOURCE BALANCING FOR EDUCATIONAL QUALITY ASSURANCE AT A DISPLACED UNIVERSITY by Oleksandr Spivakovsky, Daria Malchykova, Viktoria Yatsenko

“…The transformation of business processes accelerated digitalization, and the pursuit of balance in the face of limited resources enabled the implementation of effective anti-crisis measures and the transformation of academic policy aimed at maintaining the quality of the educational process through distance learning technologies, both synchronous and asynchronous interaction formats. …”
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TDP-43 as a potential retinal biomarker for neurodegenerative diseases by Margit Glashutter, Margit Glashutter, Printha Wijesinghe, Joanne A. Matsubara, Joanne A. Matsubara

“…Future directions for the TDP-43 as a retinal biomarker for NDDs include retinal tracers, hyperspectral imaging, oculomics, and machine learning development.…”
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Rancang Bangun Website Akademik dengan Penyimpanan Sertifikat Digital Menggunakan Teknologi Blockchain by Windra Swastika, Hermawan Wirasantosa, Oesman Hendra Kelana

“…Abstract A certificate is a form of appreciation that a person receives after completing a certain competency or learning test. Certificates must be created and stored with good methods and security to prevent changes in content or even forgery. …”
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PENGARUH MODEL INKUIRI TERBIMBING TERHADAP KETERAMPILAN BERPIKIR KRITIS PADA MATA PELAJARAN FISIKA by Niki Harjilah, Rosane Medriati, Dedy Hamdani

“…The results of the descriptive analysis obtained an average score of critical thinking skills increased in the experimental class and based on the results of the hypothesis test with tcount > ttable (7.10059 > 1.66827),  it can be concluded that there is a significant effect of learning with guided inquiry models on critical thinking skills in the physics subjects. …”
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Towards health justice: Implementing structural competency in women’s healthcare education by Daina Charnelle Fougang, Charles Mpofu, Dianne Wepa

“…Findings: The review presents (1) comprehensive evidence of health disparities in women’s healthcare, particularly affecting racial and ethnic minorities; (2) the critical role of structural competency in addressing systemic barriers and discrimination in healthcare delivery; (3) effective teaching strategies including lecture-based, case-based, team-based, and simulation-based learning approaches; Findings indicate that successful implementation of structural competency requires multi-level interventions across individual, interpersonal, clinic, community, research, and policy domains. …”
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Performance Benchmarking of Psychomotor Skills Using Wearable Devices: An Application in Sport by Mahela Pandukabhaya, Tharaka Fonseka, Madhumini Kulathunge, Roshan Godaliyadda, Parakrama Ekanayake, Chanaka Senanayake, Vijitha Herath

“…This study proposes a versatile framework for optimizing psychomotor learning through human motion analysis. Utilizing a wearable IMU sensor system, the motion trajectories of a given psychomotor task are acquired and then linked to points in a performance space using a predefined set of quality metrics specific to the psychomotor skill. …”
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Real-Time Overshoot and Undershoot Detection in Cellular Networks by Jose Antonio Trujillo, Rasmus Lykke, Isabel de-la-Bandera, Soren Sondergaard, Troels B. Sonrensen, Raquel Barco, Preben E. Mogensen

“…To achieve this goal, KPI (Key Performance Indicators) are analyzed using machine learning techniques. Given the difficulty of detecting coverage problems in mobile networks, the results obtained suggest that the methodology provides a consistent knowledge base for optimizing the antenna tilt, thereby improving network performance.…”
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