Review of Spot Electricity Price Prediction Studies Based on Machine Learning Methods by JIA Heping, GUO Yuchen, MA Qianxin, YANG Zhenglin, ZHENG Yaxian, ZENG Dan, LIU Dunnan

“…The types of prediction models and challenges faced by spot electricity price prediction can be elaborated based on existing research on electricity price prediction mechanisms. …”
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Data recommendation algorithm of network security event based on knowledge graph by Xianwei ZHU, Wei LIU, Zihao LIU, Zeyu GU

“…To address the difficulty faced by network security operation and maintenance personnel in timely and accurate identification of required data during network security event analysis, a recommendation algorithm based on a knowledge graph for network security events was proposed.The algorithm utilized the network threat framework ATT＆amp;CK to construct an ontology model and establish a network threat knowledge graph based on this model.It extracted relevant security data such as attack techniques, vulnerabilities, and defense measures into interconnected security knowledge within the knowledge graph.Entity data was extracted based on the knowledge graph, and entity vectors were obtained using the TransH algorithm.These entity vectors were then used to calculate data similarity between entities in network threat data.Disposal behaviors were extracted from literature on network security event handling and treated as network security data entities.A disposal behavior matrix was constructed, and the behavior matrix enabled the vector representation of network threat data.The similarity of network threat data entities was calculated based on disposal behaviors.Finally, the similarity between network threat data and threat data under network security event handling behavior was fused to generate a data recommendation list for network security events, which established correlations between network threat domains based on user behavior.Experimental results demonstrate that the algorithm performs optimally when the fusion weight α=7 and the recommended data volume K=5, achieving a recall rate of 62.37% and an accuracy rate of 68.23%.By incorporating disposition behavior similarity in addition to data similarity, the algorithm better represents factual disposition behavior.Compared to other algorithms, this algorithm exhibits significant advantages in recall rate and accuracy, particularly when the recommended data volume is less than 10.…”
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Response strategies to maintain emotional resonant brand reputations when targeted by user-generated brand parodies by Maritha Pritchard, De la Rey Van der Waldt, David Pieter Conradie

“…Correspondingly, social media management teams are faced with a reputational risk or paracrisis, since the emotional resonance of brand reputations are being hijacked. …”
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Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application by Xiaolei Zhou, Xingyue Wang, Ruifeng Guo

“…Effective control of ozone pollution still faces complex challenges from factors such as complex precursor interactions, variable meteorological conditions and atmospheric chemical processes. …”
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THE THEORY OF CIVILIZATIONS THROUGH THE LENS OF CONTEMPORARY HUMANITIES by T. V. Danylova

“…Theoretical basis and results. Faced with the challenges of our time, researchers are turning to the civilizational approach, according to which world history appears to us as a colourful spectrum of the options for the development of humanity. …”
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Gaming as a potential source of conflict with real life: The youth’s assessments by A. K. Mamedov, G. V. Denissova, O. V. Smirnova, O. V. Sapunova

“…Thus, the period of post-post-modernity started with the situation, in which a person is at a loss facing an elusive old world with new features rather than a “brave new world”. …”
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Knowledge of Mpox, Media Exposure, and Clinical Experience: by Aime Fidele Ndayiragije Mvuyekure, Simon Pierre Ndayishimye Mvuyekure, Daniel Muhayimana, Jean Claude Tuyishime, Anifa Munderere

“…The results indicated that the respondents had high knowledge of Mpox (66%), high media exposure (mean = 2.69, SD = 0.743), and substantial clinical experience (mean = 2.58, SD = 0.794). Despite facing certain challenges, there was a high level of preparedness for disease outbreaks, particularly concerning Mpox (mean = 2.77, SD = 0.73). …”
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Suicide in Hong Kong during the COVID-19 pandemic: an observational study by Yu Jiang, Anying Bai, Jinjian Li, Yuhang Pan

“…Introduction The COVID-19 pandemic has exacerbated suicide risk factors in Hong Kong, which faces economic shocks and strict travel restrictions due to its unique economic structure and geographical location. …”
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Gender disparities in application and admission to the medical residency program in Peru: A cross sectional study from 2016 to 2023. by Daniel Medina-Neira, Brenda Caira-Chuquineyra, Daniel Fernandez-Guzman

“…<h4>Conclusion</h4>This study identified persistent gender disparities in medical residency programs in Peru, with female applicants facing reduced probabilities of admission and exhibiting specialty-specific trends from 2016 to 2023.…”
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Adaptive Spatial Regularization Target Tracking Algorithm Based on Multifeature Fusion by Turdi Tohti, Xifeng Guo, Askar Hamdulla

“…Although spatially regularized discriminative correlation filters (SRDCF) effectively solve this problem, it faces a slow tracking speed and cannot meet the real-time requirement. …”
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Perspectives on delivering sexual and reproductive health and rights information and services to young people: focus group discussions with civil society organizations in the Democ... by Landry Egbende, Viviane Mayala, Branly Mbunga, Nina Viberg, Mala Ali Mapatano, Tobias Alfvén, Eva Åkerman

“…Despite the obstacles that CSOs faced, the results also demonstrate that CSOs have found creative ways to reach out and offer SRHR information to young people. …”
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Integrative physiological, biochemical, and proteomic analysis of the leaves of two cotton genotypes under heat stress. by Asia Perveen, Sheheryar Sheheryar, Fiaz Ahmad, Ghazala Mustafa, Arlindo Alencar Moura, Francisco A P Campos, Gilberto B Domont, Umar Nishan, Riaz Ullah, Mohamed A Ibrahim, Fábio C S Nogueira, Mohibullah Shah

“….), a crucial global fibre and oil seed crop faces diverse biotic and abiotic stresses. Among these, temperature stress strongly influences its growth, prompting adaptive physiological, biochemical, and molecular changes. …”
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Evaluating the accuracy of hyperspectral and multispectral images in wetland cover classification using data mining models (Case study: Shadegan wetland) by Hamid Bagheri, Rahime Rostami

“…Due to the spectral similarity between different plant species of wetlands and plants along the wetlands and agricultural lands, this is faced with problems using multispectral data and hyperspectral data can be very useful in this regard. in this study power of hyperspectral and multispectral sensors in identifying the characteristics of the wetland and the ability of ETM + (2011), Hyperion (2011) and ALI (2011) sensors to study the characteristics of Shadegan wetland during 1390 and different spectral indices with a suitable combination of The satellite imagery bands of these sensors were compared as input to a variety of classification methods including maximum likelihood, minimum distance, neural network and support vector machine. …”
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Impacts of tropical cyclones on extreme precipitation and flooding in a humid subtropical inland basin of China by Huishan Chen, Longfei Han, Yuying Tang, Juan Chen, Chaogui Lei, Xichun Li

“…The southeast of the basin faced the highest risk of TC-related disasters, especially in neutral years. …”
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Scaling to new heights: methodological insights for uplifting research on grassroots digital innovation by Paolo Gerli, Fabio Neves da Rocha, Luca Mora

“…Recent evidence confirms that many GDIs developed in response to the global health crisis are now facing financial issues that threaten their survival. …”
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AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core by Alessandra N Bazzano, Andrea Mantsios, Nicholas Mattei, Michael R Kosorok, Aron Culotta

“…However, with increasingly complex funding, programming, and research requirements, the field now faces a pivotal moment to enhance its agility and responsiveness to evolving health challenges. …”
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SAFE-CAST: secure AI-federated enumeration for clustering-based automated surveillance and trust in machine-to-machine communication by Yusuf Kursat Tuncel, Kasım Öztoprak

“…Machine-to-machine (M2M) communication within the Internet of Things (IoT) faces increasing security and efficiency challenges as networks proliferate. …”
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Conflict-induced displacement in Pakistan: a sociological study of lived experiences of involuntary migration among Afghan immigrants by Kashif Iqbal, Sheng Hongcheng, Hu Liang

“…The finding revealed the challenging legal and administrative hurdles faced by Afghan immigrants, the economic disparities, the complex dynamics of social integration, and accommodation issues within the host community. …”
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The Implementation of the Biopsychosocial Model: Individuals With Alcohol Use Disorder and Post‐Traumatic Stress Disorder by Fernando Hinostroza, Michele M. Mahr

“…This model allows for a comprehensive understanding of the unique challenges faced by this population, integrating biological, psychological, and social factors that influence recovery.…”
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Pharmacist gatekeeper interventions for suicide prevention: how evidence from developed countries support their role in low- and middle-income countries by Zixiao Zhou, Fahim Mohamed, Fahim Mohamed

“…Further research is essential to tailor and implement successful strategies from developed countries to address the unique challenges faced by LMICs.…”
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