Professional judgement: a social practice perspective on a multiple mini-interview for specialty training selection by Chris Roberts, Annette Burgess, Karyn Mossman, Koshila Kumar

“…Interviews included informal encounters in a large selection centre. Data analysis balanced description and explicit interpretation of the meanings and functions of the interviewers’ actions and behaviours. …”
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LLM-MalDetect: A Large Language Model-Based Method for Android Malware Detection by Ruirui Feng, Hui Chen, Shuo Wang, Md Monjurul Karim, Qingshan Jiang

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Benchmarking Spiking Neural Network Learning Methods With Varying Locality by Jiaqi Lin, Sen Lu, Malyaban Bal, Abhronil Sengupta

“…In this work, we show that these methods share similarities during the training process, while they present a trade-off between biological plausibility and performance. Further, given the implicitly recurrent nature of SNNs, this research investigates the influence of the addition of explicit recurrence to SNNs. …”
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Dual-Stream Spatially Aware Transformer for Remote Sensing Image Captioning by Haifeng Sima, Xiangtao Ding, JianLong Wang, Mingliang Xu

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Transmitting Status Updates on Infinite Capacity Systems with Eavesdropper: Freshness Advantage of Legitimate Receiver by Jixiang Zhang, Han Xu, Anqi Zheng, Daming Cao, Yinfei Xu, Chengyu Lin

“…Due to the presence of eavesdroppers, some packets may be eavesdropped during their transmissions, causing information leakages. To assess an infinite-capacity system’s performance of securely transmitting status updates, in this paper, we define an AoI-related metric called the <i>freshness advantage</i> of the legitimate receiver, <i>F</i>, to be average instantaneous gap between eavesdropper’s and legitimate receiver’s AoI. …”
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Effective k-nearest neighbor models for data classification enhancement by Ali A. Amer, Sri Devi Ravana, Riyaz Ahamed Ariyaluran Habeeb

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Evaluating interprofessional primary care teams in high-income countries: A scoping review protocol on the conceptualization and measurement of team functioning, effectiveness, per... by Monica Aggarwal, Ivy Bourgeault, Sara Dalo, Kristina M Kokorelias, Leslie Greenberg, Bill Kreutzweiser, Kevin Samson, Leslie Sorensen, Connor Kemp, David Schieck, Ross E G Upshur

“…This review will aim to address this gap in knowledge and help inform practice and policy, ultimately contributing to optimizing team functioning, performance, effectiveness, and collaboration within PC settings.…”
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Analysis of Lecturers’ Opportunities and Challenges Regarding Formative Online Assessments at a University of Technology by Paseka Patric Mollo

“…Face-to-face academic activities were suspended, increasing the use of information and communications technology (ICT) and online assessments. …”
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Urban buzz or urban bust? Beekeeping challenges, suitability, and survival insights in Montreal, Canada by Navid Mahdizadeh Gharakhanlou, Julien Vadnais, Liliana Perez, Nico Coallier

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Security indicators for modern electronic document management systems by I. I. Livshits

“…Known types of applied models (functional, set-theoretic, graphtheoretic, probabilistic-parametric) do not allow explicitly forming availability assessments. The proposed model allows identifying vulnerabilities in the EDMS, which can be used to implement new UBI and contribute to increasing the level of information security in EDMS projects.…”
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A Method for the Life Assessment of Aero-Engine Turbine Disks Based on a Time-Varying Load Spectrum by Shunyu Yao, Xuming Niu, Zhigang Sun, Yingdong Song

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Advancing Hematopoietic Stem Cell Transplantation Typing: Harnessing Hyperledger Fabric&#x2019;s Blockchain Architecture by Meng Wu, Feng Xu, Geetha Subramaniam, Zeyu Li, Liyun Chen, Wenjuan Zhu

“…This study aims to design and develop a blockchain-based system tailored explicitly for HSCT typing and evaluate its performance and capabilities. …”
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Phy-ChemNODE: an end-to-end physics-constrained autoencoder-NeuralODE framework for learning stiff chemical kinetics of hydrocarbon fuels by Tadbhagya Kumar, Anuj Kumar, Anuj Kumar, Pinaki Pal

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Classification Task-Driven Hyperspectral Band Selection via Interpretability From XGBoost by Xiaodi Shang, Chuanyu Cui, Xudong Sun, Xiaopeng Wang, Jiahua Zhang

“…The interpretable information extracted from the tree structure offers a novel basis for supervised BS. …”
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Representing Born effective charges with equivariant graph convolutional neural networks by Alex Kutana, Koji Shimizu, Satoshi Watanabe, Ryoji Asahi

“…Here we explicitly encode such properties using an equivariant graph convolutional neural network. …”
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Cognitive-Discursive Study of Migration Discourse (Based on English-Language Media Texts) by N. V. Stepanova

“…The migration discourse uses a persuasive strategy implemented by means of evaluation information strategy. Evaluation information strategy is carried out mainly through persuasive tactics, which are introduced into the text thanks to the cognitive metaphor. …”
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Empiric Results from the Successful Implementation of Data-Driven Innovative Energy Services in Buildings by Juan Aranda, Boniface Dominick Mselle, Juliana Cruz, Yassine Rqiq, Jose Manuel Longares

“…To achieve that success, this paper demonstrates how advanced Pay-for-Performance (P4P) energy services for energy service companies (ESCOs) can address challenges by leveraging low-cost data collection systems in buildings to offer a combination of revenues stemming from informed decision-making, energy management optimization, and active participation in demand response schemes. …”
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HS-SocialRec: A Study on Boosting Social Recommendations with Hard Negative Sampling in LightGCN by Ziping Sheng, Lai Wei

“…Most current graph neural network (GNN)-based social recommendation systems mainly extract negative samples from explicit feedback, and are unable to accurately learn the boundaries of similar positive and negative samples, which leads to misjudgment of user preferences. …”
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EVOCA: Explainable Verification of Claims by Graph Alignment by Carmela De Felice, Carmelo Fabio Longo, Misael Mongiovì, Daniele Francesco Santamaria, Giusy Giulia Tuccari

“…The approach leverages the explicit and interpretable structure of semantic graphs, which naturally represent the semantic structure of a sentence—or a set of sentences—and explicitly encodes the relationships among different concepts, thereby facilitating the extraction and manipulation of relevant information. …”
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Enhancing Text Classification Through Grammar-Based Feature Engineering and Learning Models by Alaa Mohasseb, Andreas Kanavos, Eslam Amer

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