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Artificial intelligence and real decisions: predictive systems and generative AI vs. emotive-cognitive legal deliberations.
Front Sociol
October 2024
Department of Sociology, Uppsala University, Uppsala, Sweden.
The use of artificial intelligence in law represents one of the biggest challenges across different legal systems. Supporters of predictive systems believe that decisionmaking could be more efficient, consistent and predictable by using AI. European legislation and legal scholars, however, identify areas where AI developments are at high risk or too dangerous to be used in judicial proceedings.
View Article and Find Full Text PDFSexual dysfunction, marital relationship, and subjective quality of life among women with schizophrenia: Analytical case-control study.
Indian J Psychiatry
March 2024
Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand, India.
Background: Women with schizophrenia have a high risk of adverse sexual health outcomes. The chronic course of schizophrenia draws attention to assessing the quality of life and marital relationships of patients with schizophrenia. However, there is a crunch of data in the Indian setting.
View Article and Find Full Text PDF"My child is my job now" - Care, work and careers of mothers with disabled children in the Norwegian welfare state.
Soc Sci Med
August 2024
Department of Nursing and Health Promotion, Oslo Metropolitan University, Norway.
In this article, we investigate how mothers of disabled children in Norway experience the work-family conflict and its impact on their careers, highlighting the role of provision of health and welfare services. We use a qualitative multiple case study of 11 mothers with disabled children. Although Norway is characterized by high labor market participation for women and an emphasis on care policies that support working mothers, we show that mothers of disabled children still experience considerable work-family conflict, creating ill-health and income-related struggles.
View Article and Find Full Text PDFAn Al-BERT-Bi-GRU-LDA algorithm for negative sentiment analysis on Bilibili comments.
PeerJ Comput Sci
May 2024
School of Education, Guizhou Normal University, Guiyang, China.
The number of online self-learning users has been increasing due to the promotion of various lifelong learning programs. Unstructured commentary text related to their real learning experience regarding the learning process is generally published by users to show their opinions and complaints. The article aims to utilize the dataset of real text comments of 10 high school mathematics courses participated by high school students in the Bilibili platform and construct a hybrid algorithm called the Artificial Intelligence-Bidirectional Encoder Representations from Transformers (BERT) + Bidirectional Gated Recurrent Unit (BiGRU) and linear discriminant analysis (LDA) to crunch data and extract their sentiments.
View Article and Find Full Text PDFAge-Related Differences in Body Fat and Fitness of Firefighters Participating in a Health and Wellness Program.
J Strength Cond Res
June 2024
Fire Technology Department, Santa Ana College, Santa Ana, California.
Lockie, RG, Dulla, JM, Higuera, D, Ross, K, Orr, RM, Dawes, JJ, and Ruvalcaba, TJ. Age-related differences in body fat and fitness of firefighters participating in a health and wellness program. J Strength Cond Res 38(6): 1127-1135, 2024-Fitness tends to decline, whereas body fat increases, with age, which could impact firefighter occupational performance later in their careers.
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