Monitoring irrigated dryland in China from 2000 to 2015 by integrating time series vegetation indices and environmental factors by Zijuan Zhu, Lijun Zuo, Zengxiang Zhang, Yun Shao, Haijun Bao, Xiaoli Zhao, Xiao Wang, Shunguang Hu, Sisi Yu, Tianshi Pan, Ziyuan Liu

“…This method not only avoids the error accumulation caused by overlaying the direct classification results of two periods but also addresses the issue of insufficient classification accuracy due to the shortage of samples and data in historical periods. …”
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Analyzing and Mitigating Bias for Vulnerable Road Users by Addressing Class Imbalance in Datasets by Dewant Katare, David Solans Noguero, Souneil Park, Nicolas Kourtellis, Marijn Janssen, Aaron Yi Ding

“…For machine learning models, performing object classification and detection tasks, the focus has been on improving accuracy and enhancing model performance metrics; however, issues such as biases inherited in models, statistical imbalances and disparities within the datasets are often overlooked. …”
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Parasport medicine and its challenges by Maria Weronika Zimniak, Zofia Jakubczak, Marta Głąbień, Paweł Miłkowski, Karolina Kusiak, Daria Aleksandrowicz, Anna Kuśnierz, Olga Wieczorek, Aneta Kondratowicz, Patryk Śliwiak

“… Introduction: The field of Paralympic medicine examines the healthcare issues that are specific to athletes with disabilities. …”
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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…To address the above issues, this article proposed an adversarial intrusion detection model (Soft Adversarial Asynchronous Actor-Critic Intrusion Detection, SA3C-ID) based on reinforcement learning. …”
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Estimating rare disease prevalence and costs in the USA: a cohort study approach using the Healthcare Cost Institute claims data by Keith A Crandall, Christine M Cutillo, Ainslie Tisdale, Mahdi Baghbanzadeh, Reva L Stidd, Manpreet S Khural, Laurie J Hartman, Jeff Greenberg, Kevin B Zhang, Ali Rahnavard

“…RDs face challenges in prevalence estimation due to a lack of specific disease coding and a small patient population, compounded by issues like data standardisation and privacy concerns. …”
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Design a Robust DDoS Attack Detection and Mitigation Scheme in SDN-Edge-IoT by Leveraging Machine Learning by Habtamu Molla Belachew, Mulatu Yirga Beyene, Abinet Bizuayehu Desta, Behaylu Tadele Alemu, Salahadin Seid Musa, Alemu Jorgi Muhammed

“…Existing studies on DDoS detection in SDN-IoT networks often suffer from inefficient detection accuracy due to poor algorithm design and latency issues arising from deploying models in the control plane. …”
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Optimizing respiratory care: clinical pharmacist interventions in respiratory tract infection management at a tertiary teaching hospital by Chandrashekhar Mallikarjun Patil, Princy Domnic Dsouza, Sai Phalguna Prakash Chitralu, Vinod Ashok Koujalagi, Agadi Hiremath Viswanatha Swamy, Sanatkumar Bharamu Nyamagoud

“…CPIs, including prospective audits, prescription feedback, and healthcare professional education, effectively addressed these issues, improved antibiotic appropriateness, and optimized patient outcomes. …”
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Improved railway track faults detection using Mel-frequency cepstral coefficient and constant-Q transform features by Rahman Shafique, Khadija Kanwal, Venkata Chunduri, Gyu Sang Choi, Imran Ashraf

“…Results show that acoustic data may help to determine the railway track faults effectively and logistic regression is used to perform the classification for railway track faults with an accuracy of 100%.…”
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The future direction of ‘other persons’ in Korean maritime legislation : A historical and comparative legal analysis by Sang-Il Lee, Song-Yi Yi, Min Jung

“…This paper explores the legal framework surrounding the classification of “other persons” aboard vessels under the Ship Safety Act, particularly in comparison to international maritime conventions such as SOLAS. …”
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Effects of acute and chronic exercise on working memory in healthy adults. An experimental investigation by Eva Borrega-Alonso, F. Javier Otamendi

“…IntroductionWorking memory is critical for optimal development of academic and occupational functions, and its deterioration is associated with mental health issues. Exercise-based interventions have emerged as a prominent strategy to enhance cognitive functions and improve mental health. …”
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Financiarisation et classes sociales : introduction au dossier by Benjamin Lemoine, Quentin Ravelli

“…We analyze the dynamics of construction – the work of social classification and « taxonomic surgery » – but also the social games of consolidation and destabilization of these groups. …”
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BIONIC PROSTHESES - FEATURES, KINDS AND POSSIBILITIES by Nikola Sabev, Ivan Ralev

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WIRELESS OPTICAL COMMUNICATION TECHNOLOGIES IN 5G AND 6G NETWORK INFRASTRUCTURE: PROBLEMS AND SOLUTIONS by Javid J. Aghashov, Tabriz J. Aghashov

“…The issues raised in this work are explored and summarized. …”
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Research on multi-user identity recognition based on Wi-Fi sensing by Zhongcheng WEI, Wei CHEN, Yanhu DONG, Bin LIAN, Wei WANG, Jijun ZHAO

“…With the advancement of wireless sensing technology, research on Wi-Fi-based identity recognition has garnered significant attention in fields such as human-computer interaction and home security.While identity recognition based on Wi-Fi signals has achieved initial success, it is currently primarily suitable for scenarios involving individual user behavior.Identity recognition for multiple users in concurrent behavior scenarios still faces a series of challenges, including issues related to mutual interference between users and poor model robustness.Therefore, a Wiblack system for recognizing multiple user identities in a concurrent distribution behavior scenario was proposed.The core idea was to train a multi-branch deep neural network (Wiblack-Net) to extract unique features for each individual user.Firstly, the common features among multiple users were extracted using the backbone network.Then, a binary classifier was assigned to each user to determine the presence of the target user within a given group, thereby achieving identity recognition for multiple users based on concurrent behavior.In addition, experiments comparing Wiblack with several independent binary classification models and a single multiclassification model were conducted to analyze operational efficiency.System performance experimental results demonstrate that when simultaneously identifying the identities of three users, Wibalck achieves an average accuracy of 92.97%, an average precision of 93.71%, an average recall of 93.24%, and an average F1 score of 92.43%.…”
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Professor A. M. Seagal is one of the first Russian cardiologists and arrhythmologists by L. M. Makarov

“…In addition to numerous works on various issues of therapy and cardiology, he is the author of apparently the first Russian monograph on arrhythmology, "Rhythms of Cardiac Activity and Their Disorders," entirely devoted to cardiac arrhythmias and which went through two editions in Soviet times (1935 and 1958). …”
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An Intrusion Detection Model Based on Feature Selection and Improved One-Dimensional Convolutional Neural Network by Qingfeng Li, Bo Li, Linzhi Wen

“…The problem of intrusion detection has new solutions, thanks to the widespread use of machine learning in the field of network security, but it still has a few issues at this time. Traditional machine learning techniques to intrusion detection rely on expert experience to choose features, and deep learning approaches have a low detection efficiency. …”
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Review of Conductive Reciprocating Liquid Metal Magnetohydrodynamic Generators by Lingzhi Zhao, Aiwu Peng

“…On this basis, technical key points and issues in the current research of CRLMMHD generators are elaborated. …”
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Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance by Huajun Huang, Yuexin Li, Shu-Chin Lin, Yuyan Yi, Jingyi Zheng

“…In this paper, we tackle these issues by introducing the Bures–Wasserstein (BW) distance for covariance matrices analysis and demonstrating its advantages in BCI applications. …”
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Bioactive composition and medicinal properties of Walnut kernels by Gauhar Ali, Alam Zeb

“…The current review also gives details on plant origin, distribution, classification, cultivation, and consumption as food. …”
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Application of photodynamic activation of prodrugs combined with phototherapy in tumor treatment by Yining Du, Jingyuan Zhao, Shuai Li, Hong Yuan

“…Abstract The design of prodrugs aims to address the issues of systemic toxicity and poor specificity associated with traditional chemotherapy drugs, thereby improving patient survival rates. …”
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