Improving the Reliability of DC-DC Power Supply by Reserving Feedback Signals by V. A. Shpenst, E. A. Orel

“…The topicality of the work is related to the importance of power supply issues in modern electronics, since the quality of operation of consumer electrical appliances, including critical ones, directly depends on the serviceability of sources. …”
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A Pipette for High-Resolution Sampling and Delivery of pL Bio-Samples by Ziyang Han, Pengfei Gong, Hengxiang Su, Zehang Gao, Shilun Feng, Jianlong Zhao

“…Conventional laboratory methods for handling valuable biological samples typically use pipettes or needles, which are prone to issues such as dead volume and sample waste. Furthermore, the sampling and processing of pathogenic bacteria, such as <i>Escherichia coli</i> (<i>E. coli</i>) in environmental wastewater, require labor-intensive procedures with multiple complex steps. …”
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Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…The paper proposes solutions to these issues, including algorithm optimization and improved data preprocessing techniques. …”
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Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…In addition, reliance on varying data processing methods across studies reduces the generalisability of current models. …”
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Forming competitiveness of a specialist to-be in the youth policy system of the North-Caucasus Federal University by M. I. Kochergin

“…The study of this problem will continue as there remain unresolved issues indicated in the conclusion of the main text.…”
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Prestress Assisted Machining: Achieving high surface integrity in thin wall milling by Álvaro Sáinz de la Maza García, Luis Norberto López de Lacalle Marcaide, Gonzalo Martínez de Pissón Caruncho

“…After machining, external load is removed and residual stresses near machined surface become compressive.In addition, performed experiments and theoretical analyses showed a workpiece stiffness increase, leading to smaller cutting-force-induced deformations and almost a 200% increase in workpiece natural frequencies, permitting mitigate vibration issues with improvements of surface finish around a 30%. …”
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Amplifying School Mental Health Literacy Through Neuroscience Education by Peter J. Vento, Steven B. Harrod, Brittany Patterson, Kristen Figas, Tucker Chandler, Brooke Chehoski, Mark D. Weist

“…Children and adolescents face a wide variety of developmental changes and environmental challenges, and it is estimated that at least one in five children aged 3–17 will experience behavioral or mental health issues. This period of life coincides with major changes in brain structure and function that have profound long-term consequences for learning, decision-making (including risk taking), and emotional processing. …”
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Hybrid DWT NLM method with NOA optimization for ECG signal denoising by Wen Chen, Yuanfang Zhang, Kaimin Yu, Chufeng Huang, Peibin Zhu, Qihui Wu, Jianzhong Hao

“…Abstract Despite the hybrid Discrete Wavelet Transform+Non Local Mean (DWT+NLM) method’s ability to leverage the processing strengths of high - and low - frequency components, it faces issues like translation transformations, modal aliasing, patch effects, and threshold - induced distortion. …”
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Interpersonal relationships in patients suffering from chronic musculoskeletal pain: a case-control study analyzing core conflictual relationship themes and interpersonal problems by Pernilla Abrahamsson, Bo Vinnars, Annika Lindgren

“…Conclusions The impact of interpersonal issues may differ depending on type of pain diagnosis. …”
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Microbial Quality and Prevalence of Water Adulteration of Pasteurized Milk Marketed in Addis Ababa, Ethiopia by Hiwot Tadesse, Aynadis Tamene, Gulelat Dessie

“…Overall, this study underscores critical issues with pasteurized milk quality in Addis Ababa, including frequent water adulteration and elevated microbial contamination, which pose risks to both nutritional value and consumer health. …”
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Predicting adverse drug reactions in oncology: A critical review of machine learning approaches and future directions by Abid Yahya, Phatsimo Lobelo, Afiya Eram, Sana Althaf Hussain, Irfan Anjum Badruddin, Lory Liza D. Bulay-og, Dionel O. Albina

“…We go over a variety of methods for utilizing both structured and unstructured clinical data, such as supervised, unsupervised, and deep learning models in addition to natural language processing (NLP) strategies. Strong performance has been demonstrated by ensemble techniques like Random Forest and Gradient Boosting, while deep neural networks allow for sophisticated feature extraction, albeit with interpretability issues. …”
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High-performance reconfigurable encryption scheme for distributed storage by Zhihua FENG, Yuxuan ZHANG, Chong LUO, Jianing WANG

“…As the world embraces the digital economy and enters an information society, data has emerged as a critical production factor.The collection, processing, and storage of data have become increasingly prevalent.Distributed storage systems, known for their efficiency, are widely used in various data fields.However, as the scale of data storage continues to expand, distributed storage faces more significant security risks, such as information leakage and data destruction.These challenges drive the need for innovative advancements in big data distributed storage security technology and foster the integration of domestic cryptographic technology with computing storage technology.This work focused on addressing security issues, particularly information leakage, in distributed storage nodes.A dynamic and reconfigurable encryption storage solution was proposed, which considered the requirements for encryption performance and flexibility.A high-performance reconfigurable cryptographic module was designed based on the bio mapping framework.Based on this module, multiple storage pools equipped with different cryptographic algorithms were constructed to facilitate high-performance encryption and decryption operations on hard disk data.The scheme also enabled dynamic switching of cryptographic algorithms within the storage pools.A cryptographic protocol with remote online loading functions for cryptographic algorithms and keys was developed to meet the unified management and convenient security update requirements of reconfigurable cryptographic modules in various storage nodes.Furthermore, the scheme implemented fine-grained data encryption protection and logical security isolation functions based on cryptographic reconstruction technology.Experimental results demonstrate that the performance loss of this scheme for encryption protection and security isolation of stored data is approximately 10%.It provides a technical approach for distributed storage systems to meet the cryptographic application technology requirements outlined in GB/T 39786-2021 “Information Security Technology-Basic Requirements for Cryptography Applications” Level 3 and above in terms of device and computing security, application and data security.…”
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RL-MAB-Based Resource Allocation for Efficient Bandwidth Utilization in Industrial IoT Networks by Dongyeong Seo, Kidong Nam, Kwansoo Jung

“…Especially, the waste of redundant resources that are not utilized for communication leads to issues of resource efficiency and scalability limitations due to limited wireless resources. …”
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Tea and Tea Product Diversification: A Review by Kanij Fatema Tuz Zohora, Md. Riyadh Arefin

“…This review broadly focuses on the issues leading to the development of wide range of tea and tea product diversification. …”
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Exposure to arsenic and cognitive impairment in children: A systematic review. by Yumei Tian, Qi Hou, Mingyue Zhang, Er Gao, Yue Wu

“…Higher arsenic levels were associated with lower IQ scores, slower processing speeds, and impaired memory and language skills. …”
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Dissociating Sensory and Motor Components of Inhibition of Return by Anne B. Sereno, Cameron B. Jeter, Vani Pariyadath, Kevin A. Briand

“…The first is that IOR reflects inhibition of attentional processing at previously cued locations, resulting in altered sensory analysis. …”
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Evolutionary learning in neural networks by heterosynaptic plasticity by Zedong Bi, Ruiqi Fu, Guozhang Chen, Dongping Yang, Yu Zhou, Liang Tian

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LLE-STD: Traffic Sign Detection Method Based on Low-Light Image Enhancement and Small Target Detection by Tianqi Wang, Hongquan Qu, Chang’an Liu, Tong Zheng, Zhuoyang Lyu

“…This paper focuses on detecting small traffic signs in low-light scenarios. To address these issues, this paper proposes a traffic sign detection method that integrates low-light image enhancement with small target detection, namely, LLE-STD. …”
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Achieving Quasi-Complete Balance in U-shaped Assembly Lines Using Idle Time Elimination Methodologies by Zening Wu, Wenqian Luo

“…The study introduces two new methods to address these issues and increase the efficiency of line balancing: Operators Arrangement for U-shaped line Balancing (OAUB) and Layout Design for U-shaped line Balancing (LDUB). …”
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Optimizing Solar Energy Harvesting: A K‐Means Clustering Approach for Enhanced Efficiency and Viability by Li Bin, Muhammad Shahzad, Muhammad Farhan, Muhammad Sanaullah Khan, Mubaarak Abdulrahman Abdu Saif, Girmaw Teshager Bitew

“…The K‐means algorithm, a fundamental image processing technique, is utilized to classify images into distinct groups. …”
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