The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis by Marcin Rządeczka, Anna Sterna, Julia Stolińska, Paulina Kaczyńska, Marcin Moskalewicz

“… BackgroundThe increasing deployment of conversational artificial intelligence (AI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cognitive biases and recognizing affect in human-AI interactions. …”
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Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening by Zhuo Zhao, Xiaoxu Liu, Yonghui Guan, Chunfang Li, Zheng Wang

“…For cfRNA data sequenced at ≤ 12 gws and 13–20 gws, the corresponding loss values, maximum absolute errors, peak-to-valley error values, mean absolute errors, and average prediction times per sample were 0.0178 (0.0195). …”
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Predictors of the Intention to Stop Using Smart Devices at Bedtime Among University Students in Saudi Arabia: Cross-Sectional Survey by Manal Almalki

“…Model fit was assessed using chi-square, comparative fit index, and root mean square error of approximation. ResultsOf the 774 participants, 90.43% (700/774) reported using their smart devices every night and 72.48% (561/774) believed bedtime device use negatively affected them the next morning. …”
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Psychometric Analysis of the eHealth Literacy Scale in Portuguese Older Adults (eHEALS-PT24): Instrument Development and Validation by Sara Luz, Paulo Nogueira, Andreia Costa, Adriana Henriques

“… BackgroundIn this era of digitalization, eHealth interventions are used to engage patients in health care and help them manage their health. …”
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Investigating the performance of high-resolution subseasonal precipitation forecasts in support of food insecurity early warning by William Turner, Shraddhanand Shukla, Greg Husak, Chris Funk, Charles Jones, Kathy Baylis

“…Anticipating precipitation (PPT) extremes across sub-Saharan Africa can help mobilize interventions, trigger anticipatory actions, and promote beneficial actions like water harvesting. …”
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Reframing Sleep Diagnostics: A Structured Clinical Guide to Polysomnography Evaluation by Elvie Zulka Kautzia Rachmawati, Mikhael Yosia

“…We outline common interpretive pitfalls, including automated scoring errors, overlooked signal artifacts, and the first night effect, emphasizing the need for careful manual review and clinical correlation. …”
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How Gait Nonlinearities in Individuals Without Known Pathology Describe Metabolic Cost During Walking Using Artificial Neural Network and Multiple Linear Regression by Arash Mohammadzadeh Gonabadi, Farahnaz Fallahtafti, Judith M. Burnfield

“…Performance was assessed based on the mean squared error (MSE) and correlation coefficients. ANN models outperformed MLR, with DFA and Lyapunov Exponent models showing higher R² values, indicating stronger predictive accuracy. …”
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Sex Education Approaches at Costa Rican Public Universities: An Exploratory Paper by María Luisa Preinfalk-Fernández

“…The statistical margin of error was 1.5% and the confidence level of 95%. In addition, two focus groups with students and depth interviews with 16 persons were made. …”
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Does Financial Credit Obtained From Financial Institutions Influence Agricultural Productivity While Balancing Economic Growth and Sustainability? Empirical Evidence From Sierra Le... by Saffa Mohamed Massaquoi, Zhu Mande, Dongdong Ge, Abdul Salami Bah

“…Co-integration tests and error correction modeling (ECM) identify equilibrium relationships and dynamic adjustments. …”
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Efficacy of Adjuvant Yoga Therapy for Cognition in Schizophrenia: A Systematic Review and Meta-analysis of Randomized Controlled Trials by Daiveek G. Pattanashetty, Shivarama Varambally, Hemant Bhargav

“…Hence, various mind–body interventions like yoga have been brought into the modern scientific realm to investigate for possible benefits. …”
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To Evaluate the Effect of Structured Training Program about Premenstrual Syndrome on the Knowledge and Perception of Nursing Students at a Government Nursing Teaching Institute in... by Latika, Namita Batra, Pushpa Dahiya

“…The intervention in the form of structured training program was imparted to the participants. …”
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Evaluation of Mental Workload on Complex Missions Emergency Personnel NASA-TLX

“…This mental workload can lead to increase the error in the emergency medical personal, therefore, ergonomic and psychosocial interventions are suggested to reduce the human errors, stress and stress and fatigue among the emergency medical personnel job performance. …”
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IMPLEMENTATION OF GEOGRAPHICALLY WEIGHTED PANEL REGRESSION WITH GAUSSIAN KERNEL WEIGHTING FUNCTION IN THE OPEN UNEMPLOYMENT RATE MODEL by Indria Saska, Sifriyani Sifriyani

“…Moreover, the GWPR model exhibits a notable improvement in predictive accuracy and goodness of fit compared to the global panel regression model, achieving a coefficient of determination  of 77.96% and a Root Mean Square Error (RMSE) of 0.2726. These findings highlight the GWPR model's potential in regional economic studies and policymaking, offering precise insights into local determinants of unemployment and facilitating the development of targeted and effective interventions.…”
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Escape into patient safety: bringing human factors to life for medical students by Myra Malik, Adam Backhouse

“…We designed an escape room—a team-based game where learners solve a series of clinical and communication-based tasks in order to treat a fictional patient while avoiding ‘clinician error’. This is followed up with an after action review where students reflect on their experience and identify learning points.Outcome Students praised the session’s interactivity and rated it highly for gaining new knowledge and skills and for increasing confidence to apply patient safety concepts to future work.Conclusion Our findings are in line with existing evidence demonstrating the success of experiential learning interventions for teaching patient safety to medical students. …”
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The relationship between job stress and the perception of patient safety culture among Palestinian hospital nurses by Loai M. Zabin, Jamal Qaddumi, Sajed Faisal Ghawadra

“…Abstract Background Patient safety is a global concern, with high rates of medical errors reported annually. Understanding the relationship between nurses’ job stress and patient safety culture (PSC) is crucial. …”
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The role of cognitive emotion regulation strategies in health related quality of life of breast cancer patients by Kovač Aleksandra, Tovilović Snežana, Bugarski-Ignjatović Vojislava, Popović-Petrović Svetlana, Tatić Milanka

“…Positive refocusing had positive effects both on physical [a = -0.83, b = 0.50, ab = - 0.42, standard error (SE) = 0.14; 95% confidence interval (CI) = 0.17 – 0.83] and emotional well-being (a = -0.83, b = 0.29, ab = 0.24, SE = 0.13; 95% CI = -0.01 – 0.58) of the patients. …”
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Investigating the Relationships between Internet Addiction and Suicidal Ideation in Adolescent Girls by Zeynab Akbari, Fatemeh Serjouie, Jafar Sarani Yaztappeh, Mohammad Hossein Turkzadeh, Faeze Ziaei, Ali Bagheri, Maryam Sate Zohd, Amir Sam Kianimoghadam

“…Psychological interventions that address the role of externalizing behaviors, alexithymia, and PSS in adolescents with IA may help reduce SI. …”
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Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex by Zili Gao, Yuzhen Zhang, Laura C. Harrington, Courtney C. Murdock, Elisabeth Martin, Dalton Manbeck-Mosig, Steve Vetrone, Nicolas Tremblay, Christopher M. Barker, John M. Clark, Lili He, Wei Zhu

“…Classification tasks used cross-entropy loss; regression applied mean squared error. Models were trained with a 70–30 training–validation split and optimized using the Adam optimizer over 10,000 iterations. …”
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Drug-Resistant Tuberculosis Hotspots in Oliver Reginald Tambo District Municipality, Eastern Cape, South Africa by Lindiwe Modest Faye, Mojisola Clara Hosu, Teke Apalata

“…The Linear Regression model predicts a continued decline to zero cases by 2026, with an R² = 0.865, a mean squared error (MSE) of 507.175, and a mean absolute error (MAE) of 18.65. …”
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Predictive and Explainable Machine Learning Models for Endocrine, Nutritional, and Metabolic Mortality in Italy Using Geolocalized Pollution Data by Donato Romano, Michele Magarelli, Pierfrancesco Novielli, Domenico Diacono, Pierpaolo Di Bitonto, Nicola Amoroso, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro

“…Performance was assessed using metrics such as coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>r</mi><mn>2</mn></msup></semantics></math></inline-formula>), mean absolute error (MAE), and root mean squared error (RMSE), revealing that GB outperformed both RF and XGB, offering superior predictive accuracy and model stability (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>r</mi><mn>2</mn></msup></semantics></math></inline-formula> = 0.55, MAE = 0.17, and RMSE = 0.05). …”
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