A novel reconstruction-based video anomaly detection with idempotent generative network by Wenmin Dong, Lifeng Zhang, Wenjuan Shi, Xiangwei Zheng, Yuang Zhang

“…Meanwhile, the Pyramid Deformation Module (PDM), as an integral part of PSVAE, computes offset maps of original video frames for anomaly detection supplementation. …”
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Board effectiveness and carbon emission disclosure: evidence from ASEAN countries by Marwan Mansour, Almothanna Jamil Abu-Allan, Sajead Mowafaq Alshdaifat, Dheif Allah E’leimat, Mohammed W. A. Saleh

“…The Board Effectiveness Score emerges as a stronger predictor of CED than individual attributes, confirming that integrated governance mechanisms better explain corporate transparency. …”
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Context-Aware Multimodal Fusion with Sensor-Augmented Cross-Modal Learning: The BLAF Architecture for Robust Chinese Homophone Disambiguation in Dynamic Environments by Yu Sun, Yihang Qin, Wenhao Chen, Xuan Li, Chunlian Li

“…Ablation studies confirm the critical contributions of the integrated components. Furthermore, the sensor-augmented module significantly improves robustness under noise (speech SNR to 18.6 dB at 75 dB noise, 12.7% reduction in word error rates). …”
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HiEE: Hierarchical feature fusion for Chinese event extraction by Shuxiang Hou, Yurong Qian, Jiaying Chen, Jigui Zhao, Huiyong Lv, Hongyong Leng

“…The Hiformer module integrates character, lexical, and syntactic embeddings, while minimizing the interference of irrelevant external information on the original text embeddings. …”
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Elements of healthcare delivery required to facilitate the clinical governance of hospital pharmacy services: a document review by Huri Balikubiri, Anna Kemp-Casey, Andre Q. Andrade, Elizabeth E. Roughead

“…Quality healthcare was described in the documents as healthcare that is patient-centred, safe, effective, integrated, timely, equitable, efficient and reliable. …”
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Illocutionary indicators of sarcasm in the genre of sports analytical articles by Ksenia A. Pavlova

“…The main research methods include theoretical analysis and synthesis, corpus analysis together with discourse, contextual and interpretive analyses. The integrated application of the methods enumerated has given an opportunity to obtain reliable data on the most frequent illocutionary indicators of sarcasm and their linguistic representation. …”
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The dual impact of physical exercise on depression and fall risk in older Chinese adults — evidence from CHARLS 2020 by Wenhui Yuan, Jinghang Cui

“…The results support integrated public health interventions tailored to local settings to enhance both mental and physical outcomes among China’s aging population.…”
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Novel dual gland GAN architecture improves human protein localization classification using salivary and pituitary gland inspired loss functions by Hanaa Salem Marie, Moatasem M. Draz, Waleed Abd Elkhalik, Mostafa Elbaz

“…This is paired with our innovative “Pituitary Gland” loss function (PG-Loss), which preserves structural integrity through a novel homeostatic regularization approach that adaptively weights pixel relationships based on subcellular compartment boundaries, unlike conventional smoothing techniques. …”
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Cloud Removal in the Tibetan Plateau Region Based on Self-Attention and Local-Attention Models by Guoqiang Zheng, Tianle Zhao, Yaohui Liu

“…This paper proposes a novel Multi-Scale Attention-based Cloud Removal Model (MATT). The model integrates global and local information by incorporating multi-scale attention mechanisms and local interaction modules, enhancing the contextual semantic relationships and improving the robustness of feature representation. …”
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From One Domain to Another: The Pitfalls of Gender Recognition in Unseen Environments by Nzakiese Mbongo, Kailash A. Hambarde, Hugo Proença

“…., when the test and training data, though disjoint, closely resemble each other. …”
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A comprehensive framework for multi-modal hate speech detection in social media using deep learning by R. Prabhu, V. Seethalakshmi

“…For textual content, utilize state-of-the-art word embeddings, including Word2Vec and BERT, to capture semantic relationships and contextual nuances. The framework integrates CNNs to extract n-gram patterns and RNNs to model long-range dependency up to sequences of up to 100 tokens. …”
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A Multimodal Bone Stick Matching Approach Based on Large-Scale Pre-Trained Models and Dynamic Cross-Modal Feature Fusion by Tao Fan, Huiqin Wang, Ke Wang, Rui Liu, Zhan Wang

“…This paper proposes a novel multimodal bone stick matching approach that integrates image, inscription, and archeological information to enhance the accuracy and efficiency of matching fragmented bone stick artifacts. …”
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Enhancing English Language Teaching and User Experience in Virtual Environments: A Systematic Review on Gamification and Personalised Learning by Myriam Tatiana Velarde Orozco, Bárbara Luisa De Benito Crosetti

“…Two extraction matrices captured bibliographic, contextual and analytical data; methodological quality was appraised with MMAT-2018. …”
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“Beyond the flood: Exploring the psychosocial consequences and resilience challenges in the aftermath of “El Niño” in Tumbes, Peru” by Elaine C. Flores, Daniela C. Fuhr, Victoria Simms, Andres G. Lescano, Nicki Thorogood

“…Beyond emergency aid, these communities require integrated care considering contextual and community-level distress, improving access to prevention and reconstruction activities, and addressing ongoing anxiety about future disasters to foster long-term resilience.…”
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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…Recurrent neural networks (RNNs) and language models are deeply intertwined, as RNNS provide the foundational architecture that enables language models to process sequential data, capture contextual dependencies, and improve natural language processing tasks. …”
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Robótica educacional nos anos iniciais: o processo de implementação e avaliação em uma escola pública / Educational robotics in elementary school: the process of implementation and... by Márcia Regina Kaminski, Clodis Boscarioli

“…As conclusões indicam resultados positivos na aprendizagem dos estudantes e que as práticas pedagógicas desenvolvidas podem contribuir, de forma relevante, para diversos aspectos do desenvolvimento em uma perspectiva integral. Ainda, este estudo pode auxiliar outras escolas que desejem iniciar atividades com Robótica Educacional. /// Among the possibilities of using Digital Technologies of Information and Communication in education, Educational Robotics has been gaining space, especially by favoring an interdisciplinary teaching and contextualized with reality. …”

Thinking beyond green space: exploring a development project for aligning with UN SDGs by incorporating social value in architecture by Shantanu Biswas Linkon, Carmela Cucuzzella

“…Considering these issues, this study quest for “How can social value in architecture be implemented and integrated into real-life projects to contextualize and achieve SDGs?” …”
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Medication adherence scales in non-communicable diseases: A scoping review of design gaps, constructs and validation processes. by Maria Jose, Priyanka Rajmohan, T S Sulfath, Ravi Prasad Varma, Manoj Mohan, Nisha K Jose, Jerin Jose Cherian, Mohan Lal Bairwa, Tulika Goswamy, Aditi Apte, Praveenlal Kuttichira, Joe Thomas

“…Future research should focus on developing more holistic, contextually relevant adherence scales that integrate these dimensions. …”
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Uncovering the impact of loneliness in ageing populations: a comprehensive scoping review by Meritxell Puyané, Carolina Chabrera, Enric Camón, Esther Cabrera

“…Addressing these challenges requires integrative approaches that consider individual, relational, and contextual factors. …”
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Accurate and lightweight oral cancer detection using SE-MobileViT on clinically validated image dataset by Md Firoz Kabir, Md Yousuf Ahmad, Roise Uddin, Martin Cordero, Shashi Kant

“…Our proposed model, LightSE-MobileViT, integrates a lightweight convolutional neural network (CNN) backbone consisting of sequential convolutional layers enhanced with batch normalization and rectified linear unit activations. …”
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