Leveraging AI to Investigate Child Maltreatment Text Narratives: Promising Benefits and Addressable Risks by Wilson Lukmanjaya, Tony Butler, Sarah Cox, Oscar Perez-Concha, Leah Bromfield, George Karystianis

“…Current research into child maltreatment often involves the use of qualitative methodologies or structured survey data that are either too broad or not representative, thereby limiting the development of effective policy responses and intervention strategies. Artificial intelligence (AI) approaches such as large language models (AI models that understand and generate language) can analyze large volumes of child maltreatment narratives by extracting population-level insights on factors of interest such as mental health and treatment needs. …”
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Significance of the change of physiognomy of armed conflicts for the education of armed forces personnel by Milutinović Milan S.

“…This paper analyses the evolution of armed conflicts from the end of the Cold War to the Russian military intervention in Ukraine, as well as their impact on the education of armed forces personnel. …”
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New Drug Trends across Welsh Prisons: Evaluating the Role of People with Lived Experience of Substance Misuse and Supporting their Recovery by M. Vigar, C. Watkins, J. Clifford, M. Jones

“…The second element of the presentation will share the findings of our research in the attempt to better understand the lived experience of those affected and provide a more informed support and intervention to other prisoners. Methods: The analysis of trends across Welsh prisons will utilise data from the following sources: Mandatory Drug Test results, drug testing sample data from WEDINOS, prison data on drug finds, intelligence reports and substance misuse observation records being opened. …”
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It is Time to Realize the Promise of the Digital Mental Health Transformation: Application for Population Mental Health by Jonathan Adler, Deryk Van Brunt

“…A population mental health approach is needed that includes early identification, intervention, and prevention, in addition to reactive care.…”
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The Impact of AI on Sustainable Development of The Labor Market by Ni Yiyu, Qi Min, Xie Chutian, Wu Yang

“…The complex landscape requires intentional government intervention based on fundamental economic principles. …”
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A NOVEL VITBILSTM DEEP LEARNING FRAMEWORK FOR BRAIN HEMORRHAGE PREDICTION USING CT BRAIN IMAGES by delveen Abd Al-Nabi

“…This problem can lead to stroke and even death. It requires fast intervention and accurate treatment to save a patient’s life. …”
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A bibliometric review of perceptions of the built environment supported by multi-source data by Tingjin Wu, Jinxiu Wu, Yanxiang Yang, Wei Dong

“…In this paper, with the help of the CiteSpace knowledge map analysis tool, manual deep intervention was combined with clustering and stratified sampling of literature information to identify hot topics and research trends. …”
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O rozumiejąco-przeżyciowym podejściu do nauki czytania i pisania (na przykładzie strategii „Skuteczne zdziwienie. Wyzwalamy myślenie”) by Monika Wiśniewska-Kin

“…I focused my observation around the intervention activities designed in the innovative model of initial literacy instruction. …”
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Fostering AI literacy in pre-service physics teachers: inputs from training and co-variables by Aigerim Abdulayeva, Nazym Zhanatbekova, Yerlan Andasbayev, Farzana Boribekova

“…BackgroundWhile the transformative potential of artificial intelligence (AI) in education is widely recognized, the rapid evolution of these technologies necessitates a corresponding evolution in teacher education. …”
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Augmented and Virtual Reality for Improving Safety in Railway Infrastructure Monitoring and Maintenance by Marina Ricci, Nicola Mosca, Maria Di Summa

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Preliminary Results in the Investigation of In Vivo Iliac and Coronary Flow Collision, Vortex Formation, and Disorganized Flow Degeneration: Insights from Invasive Cardiology Based... by Thach Nguyen, Hieu D. Nguyen, Hoang V. K. Dinh, Tien H. T. Dinh, Khiem Ngo, Hieu H. Truong, Hien Q. Nguyen, Vu Tri Loc, Thien Le, Nhi Vo, Trung Q. T. Le, Tam Tran, Chau Dang, Vy Le, Dat Q. Ha, Hadrian Tran, Mihas Kodenchery, Marco Zuin, Gianluca Rigatelli, Miguel Antunes, Quynh T. N. Nguyen, Aravinda Nanjundappa, C. Michael Gibson

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Electrochemical biosensing in oncology: a review advancements and prospects for cancer diagnosis by Sana Noreen, Izwa Ishaq, Muhammad Hamzah Saleem, Baber Ali, Syed Muhammad Ali, Javed Iqbal

“…Early and precise diagnosis of cancer is pivotal for effective therapeutic intervention. Traditional diagnostic methods, despite their reliability, often face limitations such as invasiveness, high costs, labor-intensive procedures, extended processing times, and reduced sensitivity for early-stage detection. …”
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TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma by Wang W, Zhang Q, Cui Y, Zhang S, Li B, Xia T, Song Y, Zhou S, Ye F, Xiao W, Cao K, Chi Y, Qu J, Zhou G, Chen Z, Zhang T, Chen X, Ju S, Wang YC

“…Weilang Wang,1,* Qi Zhang,2,* Ying Cui,1,* Shuhang Zhang,1 Binrong Li,1 Tianyi Xia,1 Yang Song,3 Shuwei Zhou,1 Feng Ye,4 Wenbo Xiao,5 Kun Cao,6 Yuan Chi,7 Jinrong Qu,8 Guofeng Zhou,9,10 Zhao Chen,11 Teng Zhang,12 Xunjun Chen,13 Shenghong Ju,1 Yuan-Cheng Wang1 1Department of Radiology, Zhongda Hospital, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, School of Medicine, Southeast University, Nanjing, 210009, People’s Republic of China; 2Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, People’s Republic of China; 3MR Scientific Marketing, Siemens Healthineers Ltd, Shanghai, People’s Republic of China; 4Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 5Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People’s Republic of China; 6Department of Radiology, Peking University Cancer Hospital and Institute, Beijing, People’s Republic of China; 7Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People’s Republic of China; 8Department of Radiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, People’s Republic of China; 9Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China; 10Shanghai Institute of Medical Imaging, Shanghai, People’s Republic of China; 11Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 12Institute for Artificial Intelligence in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, People’s Republic of China; 13Department of Radiology, The People’s Hospital of Xuyi County, Huaian, Jiangsu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuan-Cheng Wang, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, 87 Ding Jia Qiao Road, Nanjing, Jiangsu, 210009, People’s Republic of China, Tel +086 25 83272121, Fax +086 25 83311083, Email yuancheng_wang@seu.edu.cnPurpose: To develop and validate a predictive model for predicting six-month outcome by integrating pretreatment MRI features and one-month treatment response after TACE.Methods: A total of 108 patients with 160 hCCs from a single-arm, multicenter clinical trial (NCT03113955) were analyzed and served as the training cohort. …”
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Review of research progress in sepsis-associated acute kidney injury by Wanning Nian, Weichen Tao, Haiyi Zhang

“…Future research should bridge the gap between animal models and human pathology and explore the potential of multi-omics technologies and artificial intelligence in optimizing management.…”
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Does digitalization improve firm-level energy efficiency? Evidence from a quasi-natural experiment in China by Hongyu Long, Yan Wang, Anqi Wu, Xiang Zhang, Sergio Sammarchi, Jia Li, Chenyang Yu

“…Further analysis indicates that BCP influences firm energy efficiency by fostering industrial upgrading and industrial intelligence. Moreover, government intervention magnifies the impact of BCP on firm energy efficiency. …”
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Criteria and Improvement Directions for Copyright Registration of AI-Generated Works: Focusing on the Ministry of Culture, Sports, and Tourism’s “Generative AI Copyright Guide”... by Jongjin Kim, Hangbae Chang

“…The development of artificial intelligence (AI) has had a significant influence on the creative methods of culture and art. …”
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Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models by Masab Mansoor, Kashif Ansari

“…Models were assessed for accuracy, sensitivity, specificity, F1 ResultsThe deep neural network model demonstrated superior performance with an accuracy of 89% (95% CI 86%‐92%) and an area under the receiver operating characteristic curve of 0.95 (95% CI 0.93‐0.97), outperforming traditional diagnostic methods by 15% (P ConclusionsOur findings highlight the potential of artificial intelligence–driven approaches for the early detection of MDD, with implications for improving early intervention strategies. …”
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Faculty as street-level bureaucrats: discretionary decision-making in the era of generative AI by Rami Alsharefeen, Rami Alsharefeen

“…IntroductionThis study examines how university faculty members at an internationalized higher education institution in the UAE navigate the challenges of generative artificial intelligence (Gen-AI) plagiarism through the theoretical lens of Michael Lipsky’s Street-Level Bureaucracy (SLB) framework.MethodsDrawing on qualitative data from semi-structured interviews with 17 faculty members at an internationalized university in the UAE, this paper analyzes how faculty members exercise discretion when confronted with suspected AI-generated content in student work.ResultsThe findings of the study reveal that faculty, as street-level bureaucrats, develop various coping strategies to manage the additional workload associated with Gen-AI detection, including preventive education, discretionary intervention, and modified assignment designs. …”
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Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods by Stephen B. Lee

“…Abstract Given artificial intelligence’s transformative effects, studying safety is important to ensure it is implemented in a beneficial way. …”
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Rain is also planted - in situ/ Benfica H2O by Gonçalo Folgado

“…It aims to address urban water cycle issues in public space, regarding its scarcity and excess, by fostering collective intelligence about the territory. Located in Benfica near Monsanto Forest Park, Cortiçada’s Garden is an underutilized public space with potential for community gathering as well as a place to combat climate change adversities. …”
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