Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models by M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

“…The study emphasizes the difficulties in identifying cyber risks in grids with significant renewable integration, such as frequency instability and diminished system inertia, and suggests energy storage alternatives and sophisticated forecasting models to mitigate these issues. By incorporating a novel pre-processing method that leverages feature derivatives, the proposed models achieve over 98% accuracy in detecting cyber threats, providing a robust framework for protecting smart power grids from evolving cyber risks.…”
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Evaluation and prioritization of food safety risks in the Nigerian red meat industry by Ismail Ayoade Odetokun, Damilola Christiana Olawoye, Akeem Adebola Bakare, Tajudeen Opeyemi Isola, Nma Bida Alhaji, Oluwadamilola Olawumi Abiodun-Adewusi, Taiwo Adeniyi Adewoye, Hama Cisse, Ibraheem Ghali-Mohammed

“…However, >85% of participants were aware of contamination risks during carcass processing, and sanitation practices needed more consistency. …”
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Condition Monitoring and Fault Diagnosis of Wind Turbine: A Systematic Literature Review by Musavir Hussain, Nayyar Hussain Mirjat, Faheemullah Shaikh, Lubna Luxmi Dhirani, Laveet Kumar, Ahmad K. Sleiti

“…Additionally, this review considers the distinctive concept of machine learning model building which includes data input and its processing, feature selection, model building and its evaluation to analyze the research issues. …”
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Screening and genomic evaluation of keratinolytic protease producing Chryseobacterium sp. from tannery waste and its potential application in dehairing of goat skin by Taslima Akter, Murshed Hasan Sarkar, Shashanka Shekhar Sarker, Nourin Tarannum, Showti Raheel Naser, Sanjana Fatema Chowdhury, Sahana Parveen

“…Ecological security and financial issues demand a look for innovative approaches to leather dehairing free from pollution. …”
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PS-GAN: A Novel Pseudo-Siamese Generative Adversarial Network for Multimodal Remote Sensing Image Change Detection by Zhifu Zhu, Xiping Yuan, Shu Gan, Raobo Li, Rui Bi, Weidong Luo, Cheng Chen

“…However, most existing studies generally overlook global contextual information during the image conversion process, resulting in an inability to fully capture the overall semantic structure of the image. …”
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Time-Series Large Language Models: A Systematic Review of State-of-the-Art by Shamsu Abdullahi, Kamaluddeen Usman Danyaro, Abubakar Zakari, Izzatdin Abdul Aziz, Noor Amila Wan Abdullah Zawawi, Shamsuddeen Adamu

“…Large Language Models (LLMs) have transformed Natural Language Processing (NLP) and Software Engineering by fostering innovation, streamlining processes, and enabling data-driven decision-making. …”
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LiDAR point cloud denoising for individual tree extraction based on the Noise4Denoise by Xiangfei Lu, Zongyu Ye, Liyong Fu, Huaiyi Wang, Kaiyu Wang, Yaquan Dou, Dongbo Xie, Xiaodi Zhao

“…The processing of LiDAR point cloud data is of critical importance in the context of forest resource surveys, as well as representing a pivotal element in the realm of forest physiological and ecological studies.Nonetheless, conventional denoising algorithms frequently exhibit deficiencies with regard to adaptability and denoising efficacy, particularly when employed in relation to disparate datasets.To address these issues, this study introduces DEN4, an unsupervised, deep learning-based point cloud denoising algorithm designed to improve the accuracy of single tree segmentation in LiDAR point clouds.DEN4 introduces a multilevel noise separation module that effectively distinguishes between signal and noise, thereby improving the signal-to-noise ratio (SNR) and reducing the error.The experimental results demonstrate that DEN4 significantly outperforms traditional denoising methods in several key metrics, including mean square error (MSE), SNR, Hausdorff distance, and structural similarity index (SSIM).In the 60 sample dataset, DEN4 achieved the best mean and standard deviation on all metrics: Specifically, the MSE mean was found to be 0.0094, with a standard deviation of 0.0008, the SNR mean was 149.1570, with a standard deviation of 0.5628, the Hausdorff mean was 0.8503, with a standard deviation of 0.0947, and the SSIM mean was 0.8399, with a standard deviation of 0.0054. …”
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Study on the performance and mechanism of high-efficiency deep oxidation of butyl acetate over Pd/CeO_2 by KONG Wenjing, LIN Jiajia, ZHONG Xueyun, XING Yun, LIU Peng, LI Zhenguo, FU Mingli*

“…The results showed that the introduction of Pd increased CeO_2-U′s CO_2 yield from 77.8% to 90.7% at 220 ℃, significantly promoting the deep oxidation process of BA and alleviating the issue of CO_2 selectivity delay. …”
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Evaluating the Liming Potential of <i>Mytilus galloprovincialis</i> Shell Waste on Acidic Soils by Alexios Lolas, Katerina Molla, Konstantinos Georgiou, Chrysoula Apostologamvrou, Alexandra Petrotou, Konstantinos Skordas, Dimitris Vafidis

“…Mediterranean mussel shell waste, rich in calcium carbonate, presents a sustainable alternative to conventional liming materials, especially for mitigating soil acidification, a very important and common issue that limits crop productivity. This study evaluated the effectiveness of processed mussel shell waste in enhancing soil pH, organic matter, and nutrient availability. …”
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Unravelling the transcriptomic characteristics of bronchoalveolar lavage in post-covid pulmonary fibrosis by Mohammad Shadab Ali, Vijay Hadda, Sonia Verma, Anita Chopra, Saurabh Mittal, Karan Madan, Pawan Tiwari, Tejas Menon Suri, Anant Mohan

“…Abstract Background Post-Covid Pulmonary Fibrosis (PCPF) has emerged as a significant global issue associated with a poor quality of life and significant morbidity. …”
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The homogenization of China's city flowers and city trees by Zhuo Cheng, Ziyi Wu, Weizhe Chen, Wenxuan Li, Chen Lin, Qing Zhang, Chunlin Long

“…The study provides recommendations to address these issues and offers insights for cities that have yet to determine their CFTs. …”
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Interactive optimization scheduling method for distribution network and charging stations based on fuzzy logic and multi-strategy serial implementation mechanism by Ping Dong, Kunming Sui, Mingbo Liu, Run He, Shiqi Liu, Wu Xie, Sai Zhang

“…In the vehicle-to-grid (V2G) interaction scheduling process, the incentive price is a crucial factor affecting the user-side response. …”
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Reefing Viability Index for Rigs-to-Reefs (R2R) in Malaysia by Mohd Hairil Mohd, Mohd Asamudin A. Rahman, Muhammad Nadzrin Nazri, Chun Hong Tan, Yuzwan Mohamad, Chuin Siew Lim, Baharim Mustapa, Hasrizal Shaari, Yii Siang Hii, Do Kyun Kim

“…The combined effects of spatial data, numerical modelling, and geographic system (GIS) are proposed to study the relationship of spawning ground coral reefs, diversity, and planula larvae in the process of colonization to establish a map of the reef potential environment. …”
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A Bourdieusian Approach to Protecting the Wellbeing of Intimate Partner Violence Research Teams by Kelly Lewer, Luke Molloy, Cristina Thompson, Tylah Emslie, Bronislava Brankovic, Patricia Davidson

“…IPV research is critical to improved interventions and service provision; however, it raises issues for researcher safety and wellbeing because of the risk of vicarious trauma. …”
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Prevalence of noncommunicable diseases and developmental conditions in 5014 Australian adolescents, and their correlations with diet, other lifestyle behaviours and mental health by Bridie Osman, Matthew Sunderland, Emma K. Devine, Louise Thornton, Felice Jacka, Maree Teesson

“…Being female, consuming more sugar-sweetened beverages, ultra-processed foods, or alcohol, participating in more screen time, having depression, anxiety or psychological distress were each associated with higher rates of having at least one disease/condition (p<0.01). …”
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Emerging roles of exosomes in the diagnosis and treatment of kidney diseases by Huanhuan Cao, Zixi Li, Jiajia Ye, Yi Lv, Chun Zhang, Tao Liang, Yumei Wang

“…Exosomes are nano-sized extracellular vesicles that transport a diverse array of bioactive substances, which can influence various pathological processes associated with kidney diseases and exhibit detrimental or beneficial effects. …”
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Symmetric Cryptography With Shift 2^n-1, Hash Transformation, Optimization-Based Controller for Medical Image Infosecurity: Case Study in Mammographic Image by Pi-Yun Chen, Jian-Xing Wu, Chien-Ming Li, Chao-Lin Kuo, Neng-Sheng Pai, Chia-Hung Lin

“…Hence, infosecurity has become an important issue in the digital era. This study proposes right &#x002F; left shift 2^n&#x2212;1 pixel values, hash transformation with multi-secret gold keys, and an optimization-based controller to integrate two symmetric cryptography processes for medical image encryption and decryption with the same secret gold keys. …”
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DADSR: Degradation-Aware Diffusion Super-Resolution Model for Object-Level SAR Image by Zilong Chen, Caiguang Zhang, Chengyu Wan, Siqian Zhang, Boli Xiong

“…The super-resolution model based on diffusion models effectively mitigates the oversmoothing issue during the super-resolution process, while the degradation priors prevent the model from generating unnatural artifacts. …”
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Mechanically Strong and Flame-Retardant Cellulose-Based Aerogel Prepared via Phosphorylation-Coupled Ca²⁺ Coordination by Yadong Zhao, Chengcheng Peng, Zheng Yang, Zhengjie Liu, Heng Yen Khong, Soottawat Benjakul, Bin Zhang, Ruizhi Yang

“…This product is anticipated to replace polymer-based commercial aerogel materials, representing a sustainable solution to the issue of “white pollution”.…”
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SpaceCAM: A 16 nm FinFET Low-Power Soft-Error Tolerant TCAM Design for Space Communication Applications by Itay Merlin, Benjamin Zambrano, Marco Lanuzza, Alexander Fish, Avner Haran, Leonid Yavits

“…Moreover, recent studies indicate that DICE resilience to even single-node upsets degrades in advanced technology nodes. This issue is further exacerbated by the scaling of the supply voltage to reduce power consumption. …”
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