TurkMedNLI: a Turkish medical natural language inference dataset through large language model based translation by İskender Ülgen Oğul, Fatih Soygazi, Belgin Ergenç Bostanoğlu

“…To ensure quality, we conducted comprehensive evaluations using both machine learning models and medical expert review. Our results show that BERTurk achieved 75.17% accuracy on TurkMedNLI test data and 76.30% on the normalized test set, while BioBERTurk demonstrated comparable performance with 75.59% accuracy on test data and 72.29% on the normalized dataset. …”
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Consensus Mechanism of IoT Based on Blockchain Technology by Yue Wu, Liangtu Song, Lei Liu, Jincheng Li, Xuefei Li, Linli Zhou

“…Offline fast election, which is the node that wins the election, becomes the block node. Machine learning methods are also introduced to identify or remove outliers in the sensor data before such data are uploaded to the chain. …”
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Aspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network by Guixian Xu, Zhe Chen, Zixin Zhang

“…Then, a syntax-aware graph attention network model is proposed to make full use of the syntactic structure and semantic information in the text, and combine the knowledge learned in pre-training to achieve the ACSA task. …”
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Detection and localization of indigenous economic grasses in depth-color close-range aerial images, using a novel trainingless data-to-decision approach (DIKD Hierarchy), for the S... by Radhwan Sani, Tamer Rabie, Ali Cheaitou

“…Researchers utilized off-the-shelf supervised learning modules for plant detection, by re-training these modules on powerful computers. …”
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VisualSAF-A Novel Framework for Visual Semantic Analysis Tasks by Antonio V. A. Lundgren, Byron L. D. Bezerra, Carmelo J. A. Bastos-Filho

“…The framework leverages semantic variables extracted using machine learning algorithms to provide additional high-level information, augmenting the capabilities of the primary task model. …”
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Utilizing MRAMs With Low Resistance and Limited Dynamic Range for Efficient MAC Accelerator by Sateesh, Kaustubh Chakarwar, Shubham Sahay

“…The recent advancements in data mining, machine learning algorithms and cognitive systems have necessitated the development of neuromorphic processing engines which may enable resource and computationally intensive applications on the internet-of-Things (IoT) edge devices with unprecedented energy efficiency. …”
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Psychoeducational Characteristics of Children with Hypohidrotic Ectodermal Dysplasia by Rolanda A. Maxim, Samuel H. Zinner, Hisako Matsuo, Theresa M. Prosser, Mary Fete, Terry L. Leet, Timothy J. Fete

“…There were no statistically significant differences between the two groups in intelligence quotient composite and educational achievement scores, suggesting absence of learning disability in either group. No gender differences within or between groups were found on any performance measures. …”
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MLDFNet: A Multilabel Dual-Flow Network for Change Detection in Bitemporal Remote Sensing Images by Daniyaer Sidekejiang, Panpan Zheng, Liejun Wang

“…With the development of deep learning (DL) in recent years, numerous remote sensing image change detection (CD) networks have emerged. …”
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Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park by WANG Dinghui, SUONAN Cairang, YU Hongyan, DU Yangong

“…The coefficients of determination for the training and testing sets of the machine learning model were 0.95 and 0.93, respectively, with root mean square errors of only 0.06 and 0.08. …”
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Link of dragonflies and damselflies with the aquatic environment is differently expressed in adult and larval stages by Edwin THM. Peeters, Anton AM. Gerritsen, Froukje Rienks, Michiel Wilhelm

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In pursuit of evidence: A need to transform Ayurvedic education by Sruthi G, Megha

“…We argue that this arises in part from an outdated curriculum, poorly trained teachers, insufficient investment in research infrastructure at teaching colleges, and a paucity of policies to encourage cross-disciplinary learning. To address these gaps, we propose a comprehensive transformation of Ayurvedic education by including biomedical credit courses into the curriculum, practical internships to provide hands-on-experience, recruitment of teachers with biomedical expertise and funds to upgrade Ayurveda colleges. …”
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Merging metabolic modeling and imaging for screening therapeutic targets in colorectal cancer by Niki Tavakoli, Emma J. Fong, Abigail Coleman, Yu-Kai Huang, Mathias Bigger, Michael E. Doche, Seungil Kim, Heinz-Josef Lenz, Nicholas A. Graham, Paul Macklin, Stacey D. Finley, Shannon M. Mumenthaler

“…This process involved a novel machine learning-based method to computationally screen, in a high-throughput manner, the effects of enzyme perturbations predicted by a computational model of CRC metabolism. …”
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Furnishing Nature: Textile Materiality and the Victorian Home in Alfred Hayes’s The Vale of Arden and Other Poems (1895) by Stefanie John

“…It alludes to conceptions of the ‘house beautiful’ and the ‘book beautiful’ as it combines ecopoetic and religious notions of nature as a domestic space and as a site of learning. The article argues that textile ecologies are central to Hayes’s negotiation of relationships between nature and artifice, enabling a distinctive fusion of traditional English pastoral and fin-de-siècle aestheticism. …”
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Fostering Caring Attributes to Improve Patient Care in Nursing Through Small-Group Work: Perspectives of Students and Educators by Florence Mei Fung Wong

“…By providing a platform for interactive learning and continual practice, small-group work facilitates the internalization of these caring attributes, nurturing nursing professionalism over the course of students’ careers. …”
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Assessing Complex Skills in a Virtual Reality Context: Capturing the Development of Pre-Service Teachers’ Classroom Management Strategies by Jolien M. Mouw, Marjon Fokkens-Bruinsma, Andrea Snippe

“…Simulation-based learning environments such as virtual reality (VR) can be promising to help pre-service teachers develop kindergarten-specific classroom management strategies. …”
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Oral health educational intervention in schoolchildren from the Venezuela municipality, Ciego de Ávila, 2018 by Dayamí López Martin, Yenisleidy Santos García, Raúl Cubero González, Lina Isabel Torres Gárriz, Noel López Viamonte, Wendy Guerra López

“…<br /><strong>Methods</strong>: pre-experimental, intervention study, of the before and after type, in 43 schoolchildren from the Venezuela municipality, Ciego de Ávila, Cuba, from September 2018 to January 2019. Learning needs were identified through a survey. The educational intervention strategy was prepared and executed with theoretical-practical activities and affective-participatory techniques according to the participants’ age. …”
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Facilitating or Hindering? The Impact of Low-Carbon Pilot Policies on Socio-Ecological Resilience in Resource-Based Cities by Yanran Peng, Zhong Wang, Yunhui Zhang, Wei Wang

“…Focusing on a panel of 114 resource-based cities in China, spanning from 2003 to 2022, this study employs a range of methodologies, including kernel density estimation, the Difference-in-Differences Model, Spatial Difference-in-Differences, Mediation Analysis, K-means Clustering, and Dual Machine Learning to assess the consequences of low-carbon pilot policies on socio-ecological resilience. …”
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Relationship of Asymmetrical Dimethylarginine, Nitric Oxide, and Sustained Attention during Attack in Patients with Major Depressive Disorder by Serpil Canpolat, İsmet Kırpınar, Erdem Deveci, Hülya Aksoy, Zafer Bayraktutan, İbrahim Eren, Recep Demir, Salih Selek, Nazan Aydın

“…We investigated the relationship of serum nitric oxide (NO) and asymmetrical dimethylarginine (ADMA) levels with cognitive functioning in patients with major depressive disorder (MDD). 41 MDD patients (Beck depression scale scores >16) and 44 controls were included in the study. Rey verbal learning and memory test, auditory consonant trigram test, digit span test, Wisconsin card sorting test, continuous performance task (TOVA), and Stroop test scores were found to be impaired in patients with major depressive disorder when compared to healthy controls. …”
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The Influence of Student–Instructor Communication Methods on Student Engagement and Motivation in Higher Education Online Courses During and After the COVID-19 Pandemic by Promethi Das Deep, Yixin Chen, Nitu Ghosh, Md. Shiblur Rahaman

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Smart Filter Performance Monitoring System by Chenxing Pei, Weiqi Chen, Qisheng Ou, David Y. H. Pui

“…Moreover, filter monitoring data can establish a database for researchers to validate the filter models or train a machine learning model for filter performance prediction. Filter or air-cleaning device manufacturers can improve their products or recommend suitable products to their customers based on big data contributed by this filter monitoring system.…”
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