Effect of Intensive Parenting Attitude on Maternal Well-Being and Self-Efficacy Among Japanese Housewives and Part-Time Working Mothers by Sonoko Egami

“…These findings suggest that the effects of intensive parenting attitude on mothers depend on current child-rearing circumstances and societal or country values. Future research on intensive parenting attitude should consider social variables of mothers.…”
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Resilience or Collapse? Reconstructing the Water Quality Time Series of a Tropical River Impacted by a Mine Tailings Dam Failure by Anelise Rodrigues Machado Garcia, Diego Guimarães Florencio Pujoni, José Fernandes Bezerra-Neto

“…Using public data from the Minas Gerais Water Institute (IGAM), we fitted generalized additive models for location, scale, and shape to model long-term trends in turbidity, total solids, conductivity, pH, and dissolved oxygen. Predictor variables included daily precipitation and smooth functions for time and longitudinal distance along the river. …”
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Longer time after bariatric surgery and sedentary leisure modify anthropometric parameters, body composition and sarcopenic obesity markers in women by Luzia Hintze, Danilo Silva, Josiane Bianchini, Rafaela Dada, Jessica McNeil, Nelson Nardo Junior

“…It is a cross-sectional study involving 42 women divided into two groups according to the time since BS and two groups according to PAL. Anthropometric variables, body composition, and sarcopenic obesity markers were assessed. …”
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Time-Dependent Fragility Functions and Post-Earthquake Residual Seismic Performance for Existing Steel Frame Columns in Offshore Atmospheric Environment by Xiaohui Zhang, Xuran Zhao, Shansuo Zheng, Qian Yang

“…Combined with the damage probability matrix of the time-dependent fragility, the expected values of the residual seismic capacity of existing multi-aged steel frame columns at a given drift ratio are obtained directly in a probabilistic sense. …”
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Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department by Hansol Chang, Jong Eun Park, Daehwan Lee, Kiwon Lee, Se Yong Jekal, Ki Tae Moon, Sejin Heo, Doyeop Kim, Gun Tak Lee, Sung Yeon Hwang, Won Chul Cha, Wonhee Kim, Tae Ho Lim, Tae Gun Shin

“…In external validation, the TEWS also showed acceptable discrimination with AUROC values of 0.759 to 0.905. Transfer learning significantly improved the performance, increasing AUROC values to 0.846–0.911. …”
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Deep Learning-Based Multiclass Framework for Real-Time Melasma Severity Classification: Clinical Image Analysis and Model Interpretability Evaluation by Zhang J, Jiang Q, Chen Q, Hu B, Chen L

“…Existing assessment methods like the Melasma Area and Severity Index (MASI) are subjective and prone to inter-observer variability.Objective: This study aimed to develop an AI-assisted, real-time melasma severity classification framework based on deep learning and clinical facial images.Methods: A total of 1368 anonymized facial images were collected from clinically diagnosed melasma patients. …”
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Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…The Fuzzy C-Means classification resulted in finding 7 clusters with different membership counts. Forecasting values are calculated through defuzzification by converting linguistic variables into real numbers. …”
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Monitoring the Time-Lagged Response of Land Subsidence to Groundwater Fluctuations via InSAR and Distributed Fiber-Optic Strain Sensing by Qing He, Hehe Liu, Lu Wei, Jing Ding, Heling Sun, Zhen Zhang

“…The results indicate that land subsidence is primarily concentrated in the urban core, with annual cyclic amplitudes ranging from 10 to 18 mm and peak values reaching 22 mm. The timing of surface rebound shows spatial variability, typically occurring in mid-February in residential areas and mid-May in agricultural zones. …”
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Determining the Minimum Time Interval for Completely Eliminating the Carryover Effect of Dehydration in Heat-Stressed Goats: Insights from Physiochemical Mechanisms by E. M. Samara, M. A. Al-Badwi, K. A. Abdoun, A. A. Al-Haidary

“…Notably, all measured variables completely returned to EU levels after 10 days of commencing the RE stage. …”
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A competing risk analysis of predictors of time to lost to follow-up among adults with TB/HIV coinfection in Bahir Dar by Robel Demelash, Getachew Hailu, Taye Abuhay, Zemenu Addis, Ayenew Tega, Degarege Nibret, Yitagesu Habtu

“…Bivariable and multivariable competing risk regression models were fitted, and variables with p values < 0.05 were considered significant predictors. …”
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Czynniki determinujące wartość rynkową piłkarzy na przykładzie zawodników polskiej Ekstraklasy by Łukasz Leksowski

“…Using linear regression, the parameters of the models determining the impact of individual exogenous variables on the market value of footballers in Ekstraklasa clubs were determined. …”
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Numerical model development analysis for the efficiency of convectively heated radiative ferromagnetic nanoparticles configured by oxytactic moment of microorganisms by Muhammad Tabrez, Waqar Azeem Khan, Iftikhar Hussain, Mehboob Ali, Yazan Oroud, Taseer Muhammad

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Comparing machine learning models for predicting preoperative DVT incidence in elderly hypertensive patients with hip fractures: a retrospective analysis by Xue Ge, Lan Yao, Yan Liu, Yi Wang, Fang Zhang

“…The contribution of variables in the models was explained using SHAP values, and model performance was evaluated through ROC curves, AUC values, and other statistical methods. …”
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Machine Learning with Administrative Data for Energy Poverty Identification in the UK by Lin Zheng, Eoghan McKenna

“…Future research could explore the integration of real-time smart meter data to refine energy poverty assessments further.…”
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Color image hybrid noise filtering algorithm based on deep convolution neural network by Yongfei Yu, Yuanjian Yan

“…Relaxation variables are introduced in the network to improve the denoising ability. …”
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A differential diagnostic model based on immunological evaluation and routine laboratory tests: distinguishing multiple myeloma from other disorders with aberrant immunoglobulin el... by Manning Li, Sixun Jia, Han Wu, Chunyi Shou, Xiaolu Song, Ye Peng, Huafang Wang, Ying Wang, Xiangmin Tong, Yirui Chen

“…Results The developed differential diagnostic model in this study included the following observed indicators: IgM, glomerular filtration rate, high-density lipoprotein, red cell distribution width, and thrombin time. The model demonstrated excellent discriminatory power and good calibration, with an area under the curve (AUC) value of 0.980 (95% CI: 0.967–0.994). …”
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Acidosis as a promising early indicator of mortality among point-of-care parameters and vital signs in non-traumatic critically ill patients by Asen S. Georgiev, Tim Filla, Janina Dziegielewski, Katharina Bandmann, Peter Kienbaum, Jörg Distler, Lennert Böhm, Michael Bernhard, Mark Michael

“…In contrast, vital signs showed limited reliability in predicting outcomes. Of all tested variables, pH demonstrated the highest area under the curve (AUC) value among the analyzed markers for resuscitation room mortality (AUC 0.81 [95% CI 0.75–0.87]). …”
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Quantitative electroencephalography predicts postoperative delirium in adult cardiac surgical patients from a prospective observational study by Zhibao Guo, Wang Wan, Wenxue Liu, Ling Liu, Yi Yang, Congshan Yang, Xingran Cui

“…Abstract The diagnostic and prognostic value of quantitative electroencephalogram (qEEG) in the the onset of postoperative delirium (POD) remains an area of inquiry. …”
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Features of the Clinical Signs, Changes of the Natriuretic Propeptide (NT-proBNP), Left Ventricular Diastolic Function and Heart Rate Variability in the Patients with the Stable An... by Shved M., Prypkhan I.

“…To find out the peculiarities of the changes of the natriuretic propeptide NTproBNP, diastolic function of the left ventricle and heart rate variability (HRV) in patients with stable angina pectoris in combination with subclinical hypothyroidism. …”
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Variation in Arterial CO2 is a Stronger Determinant of Brain Tissue Oxygenation Than its Synchronous Value in Critically Ill Patients With Acute Brain Injury by Joanie Martineau, MD, MSc, Francis Bernard, MD, Alexandrine Gagnon, MD, Virginie Williams, PhD, Sabrina Araujo de Franca, BSN, David Williamson, BPharm, PhD, Yiorgos Alexandros Cavayas, MD, Msc

“…We performed a post hoc analysis of a prospective cohort study collecting arterial blood gas (ABG) values alongside synchronous neuromonitoring variables. …”
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