Do Teachers’ Beliefs Turn to Practice? Countryside Secondary School Science Teachers’ Teaching Beliefs, Scientific Epistemological Beliefs, and Approaches to Teaching by Reymund Derilo

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Digital Classroom Innovations: Leveraging Smartphone-Based Application to Stimulate Students Creative Thinking Skills by Sukatiman, Ida Nugroho Saputro, Mochamad Kamil Budiarto

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Silicon transport and its “homeostasis” in rice by Sheng Huang, Jian Feng Ma

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Chloride transport and homeostasis in plants by Harverth Silva-Herrera, Stefanie Wege, Bastian Leander Franzisky, Namrah Ahmad, M. Rob G. Roelfsema, Christoph-Martin Geilfus

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Mobilization and recycling of intracellular phosphorus in response to availability by Chih-Pin Chiang, Joseph Yayen, Tzyy-Jen Chiou

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Inequalities in Online Representation: Who Follows Their Own Member of Congress on Twitter? by Stefan McCabe, Jon Green, Pranav Goel, David Lazer

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E-Governance and Community Outreach in Higher Education Institutions in Sudan by Saifaldin Onia

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The impact of artificial intelligence on business performance: a bibliometric analysis of publication trends by Rachid ZIKY, Hicham BAHIDA, Ahmed ABRIANE

“…AI optimizes operational efficiency, supports strategic decision-making, and enables disruptive innovations. …”
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Adoption of AI by PhD Students at Ibn Tofail University: A Qualitative Study by Hiba EL AOUFIR, Salma ABROURI, Firdaous OUDGHIRI

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Categorical-Parallel Adversarial Defense for Perception Models on Single-Board Embedded Unmanned Vehicles by Yilan Li, Xing Fan, Shiqi Sun, Yantao Lu, Ning Liu

“…Notably, Ca-PAT introduces an innovative categorical-parallel adversarial training mechanism for efficient defense in large-scale models, coupled with an alternate-direction optimization framework to minimize the adverse impacts of weight quantization. …”
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Performance Analysis of Superposition M-ary QAM Modulation in Coded Protograph LDPC MIMO Communication Systems With Low-Resolution ADCs by Duc A. Hoang, Hieu T. Nguyen, Thang N. Le

“…Overall, this work offers a unified perspective on superposition modulation, low-resolution ADCs, and advanced LDPC decoding, opening new avenues for designing energy-efficient and spectrally efficient communication systems suitable for 5G-and-beyond networks.…”
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Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform. by Anjir Ahmed Chowdhury, S M Hasan Mahmud, Md Palash Uddin, Seifedine Kadry, Jung-Yeon Kim, Yunyoung Nam

“…To protect data privacy, the framework employs a FedAvg-based federated learning scheme, enabling decentralized training without exposing sensitive data. For efficient deployment on edge devices, full integer quantization is applied to reduce computational overhead while maintaining accuracy. …”
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Open-Loop Wide-Bandwidth Phase Modulation Techniques by Nitin Nidhi, Pin-En Su, Sudhakar Pamarti

“…A detailed analysis on the impact of timing and quantization of the cancellation signal is presented. …”
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Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite by Fabrizio Maria Aymone, Danilo Pietro Pau

“…With the exponential growth of edge devices, efficient local processing is essential to mitigate economic costs, latency, and privacy concerns associated with the centralized cloud processing. …”
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A seed-epidermis-feature-recognition-based lightweight peanut seed selection method for embedded systems by Dehao Li, Jinlong Huang, Xincheng Li, Zhaolei Yang, Xueke An, Pengfei Xu, Yuliang Yun

“…The model was based on deep learning and model quantization techniques. The transfer learning method was used to use four pre-trained models, EfficientNet_b0, EfficientNetv2-b0, MobileNet_v2_35_224, and NasNet_Mobile, as feature extraction layers, the input layer was added before the feature extraction layer, and the dropout and dense layers were added after the feature extraction layer to construct a classifier. …”
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GHMSA-Net: Gated Hierarchical Multi-Scale Self-Attention for Perceptually-Guided AV1 Post-Processing by Bopu Zhao, Woowoen Gwun, Kiho Choi

“…The AOMedia Video 1 (AV1) codec achieves excellent compression efficiency but often introduces visually distracting artifacts at high quantization parameters (QPs), impairing perceptual quality. …”
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Retracted: Computer Medical Image Segmentation Based on Neural Network by Xiaopeng Wang, Lei Gu, Zhongyi Wang

“…This method introduces a non-linear template and data quantization on the basis of a basic network model, which greatly reduces the computational complexity while maintaining the accuracy of image segmentation. …”
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Speed up integer-arithmetic-only inference via bit-shifting by Mingjun Song, Yiming Zhou, Mengmeng Song, Sujie Liu, Shungen Xiao, Youshun Zheng

“…Integer-arithmetic-only quantization is an important approach in quantization and holds great significance for hardware deployment with limited resources. …”
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Lightweight deep learning for real-time road distress detection on mobile devices by Yuanyuan Hu, Ning Chen, Yue Hou, Xingshi Lin, Baohong Jing, Pengfei Liu

“…Utilizing a diverse dataset collected from Europe and Asia, MobiLiteNet incorporates Efficient Channel Attention to boost model performance, followed by structural refinement, sparse knowledge distillation, structured pruning, and quantization to significantly increase the computational efficiency while preserving high detection accuracy. …”
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ConflLlama: Domain-specific adaptation of large language models for conflict event classification by Shreyas Meher, Patrick T. Brandt

“…We demonstrate how to adapt open-source language models to specialized political science tasks, using conflict event classification as our proof of concept. Through quantization and efficient fine-tuning techniques, we show state-of-the-art performance while minimizing computational requirements. …”
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