Women’s unemployment in urban Ethiopia: bayesian multilevel model approach by Buzuneh Tasfa Marine, Mihiret Genene Zewde

“…Parameters were estimated using the Markov Chain Monte Carlo (MCMC) method in MLwiN. Result The analysis of 29,649 women indicated that 26.6% were unemployed, while 73.4% were employed. …”
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Comparative Quantitative and Discriminant Analysis of Wheat Flour with Different Levels of Chemical Azodicarbonamide Using NIR Spectroscopy and Hyperspectral Imaging by Hongju He, Yuling Wang, Shengqi Jiang, Jie Zhang, Jicai Bi, Hong Qiao, Leiqing Pan, Xingqi Ou

“…The raw spectra were preprocessed using 14 methods and then mined by the partial least squares (PLS) algorithm to fit ADA levels using different numbers of WF samples for training and validation in five datasets (N_Training/_Validation = 189/21, 168/42, 147/63, 126/84, 105/105), yielding better abilities of NIR Savitzky–Golay 1st derivative (SG1D) spectra-based PLS models and raw HSI spectra-based PLS models in quantifying ADA with higher determination coefficients and lower root-mean-square errors in validation (R²_V & RMSEV), as well as establishing 100% accuracy in PLS discriminant analysis (PLS-DA) models for identifying excessive ADA-contained WF in each dataset. …”
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Enhanced household energy consumption forecasting using multivariate long short-term memory (LSTM) networks with weather data integration by Aditya Pai H, Kritika Kumari Mishra, Mahesh T R, J V Muruga Lal Jeyan, Anu Sayal

“…Empirical outcomes prove a considerable improvement over traditional forecasting models, which reach a Mean Squared Error (MSE) of 0.02063 and a Root Mean Squared Error (RMSE) of 0.14363, a Mean Absolute Error (MAE) of 0.107, a Mean Absolute Percentage Error (MAPE) of 0.155, and a Coefficient of Determination (R²) of 0.724. This work uniquely combines Self-Supervised Learning (SSL) with multivariate LSTM models, significantly improving feature extraction and alleviating limitations witnessed in current hybrid models, most notably with respect to handling intricate temporal dependencies and mitigating computational overhead within resource-limited settings.…”
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Developing and Validating Monosyllabic Speech Materials with Psychometric Homogeneity for Young Adult Turkish-Azeri Speakers in Iran and Compiling the Equivalent Word Lists by Amirreza Karami, Nariman Rahbar, Behrooz Mahmoodi-Bakhtiari, Seyyed Jalal Sameni, Nayiere Mansouri

“…This study aimed to develop and validate Turkish-Azeri monosyllabic words with phonetic balance and psychometric homogeneity for the WRS test in young adult Turkish-Azeri speakers in Iran and to compile four 25-item word lists. Methods: In this cross-sectional/comparative study, four lists of 25 monosyllabic words with phonetic balance were created by extracting common words from Turkish-Azeri dialects and assessing them in terms of ease of use, familiarity, and relevance. …”
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The Use of Catheter Mount Will Result in More Reliable Carbon Dioxide Monitoring under Fluid Exposing Conditions by Yongil Cho, Wonhee Kim, Tae Ho Lim, Hyuk Joong Choi, Jaehoon Oh, Bossng Kang, Youjin Kim, In Young Kim

“…Methods. In 25 healthy adults, a prospective, open label, crossover study was conducted to examine the effect of DCCM in mainstream and microstream capnometers under water exposing conditions. …”
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Research on time series prediction model for multi-factor environmental parameters in facilities based on LSTM-AT-DP model by Longwei Liang, Longwei Liang, Hui Shi, Hui Shi, Zhaoyuan Wang, Shengjie Wang, Changhong Li, Ming Diao

“…The model architecture employs: (1) a Data Preprocessing (DP) module combining Wavelet Threshold Denoising (WTD) for noise elimination and Sliding Window (SW) technique for feature matrix construction; (2) an LSTM core for deep temporal modeling; and (3) an Attention Mechanism (AT) for dynamic feature weighting to enhance critical temporal feature extraction.ResultsIn 24-hour prediction tests, the model achieved determination coefficients (R²) of 0.9602 (temperature), 0.9529 (humidity), and 0.9839 (radiation), representing improvements of 3.89%, 5.53%, and 2.84% respectively over baseline LSTM models. …”
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MetaForecaster: A PSO-Driven Neural Model for Sustainable Industrial Air Quality Management by Marzia Ahmed, Shahrin Islam, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

“…Comparative analyzes with established hybrid forecasting approaches, such as Genetic Algorithm-NN, Simulated Annealing-NN, and Differential Evolution-NN, demonstrate the superior performance of the proposed PSO-NN model, achieving notably low prediction errors (MSE: <inline-formula> <tex-math notation="LaTeX">$1.1941 \times 10^{-7}$ </tex-math></inline-formula>), MAPE: 0.0016 and a high coefficient of determination (<inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>: 0.99999). …”
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Discordance of HER2 between primary tumors and lymph node metastatic lesions in invasive breast cancer by Noviana Nugrohowati, Sumadi Lukman Anwar, Juwaryani Juwaryani, Firda Ridhayani

“…Methods A cross-sectional study was conducted involving 30 invasive breast cancer patients. …”
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Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery by Hsing-Hao Ho, Huai-Che Yang, Wen-Xiang Yang, Cheng-Chia Lee, Hsiu-Mei Wu, I-Chun Lai, Ching-Jen Chen, Syu-Jyun Peng

“…The average Dice similarity coefficient in these comparisons was 71.8%. Conclusions The proposed segmentation algorithm achieved results on par with conventional manual calculations in determining the volume of RICs, which were shown to peak at the end of the first year after SRS and then gradually decrease. …”
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Study on the Relationship Between Species Richness and Morphological Diversity of Higher Categories in Scarabaeoidea by Yumeng Qiao, Yijie Tong, Zhehao Tian, Ning Liu, Ming Bai

“…By combining quantitative morphology and statistical methods, here we analyze the biodiversity under the influences of phylogenetic relation factors represented by higher categories. …”
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Validation and Comparison of DEBQ and TEMS in Assessing Eating Behaviours in the Romanian Adult Population by Ana Maria Gal, Oana Dumitrascu, Andreea Gherasim, Otilia Nita, Alina Delia Popa, Laura Mihalache, Lidia Iuliana Arhire

“…Methods: We tested (with the consent of the authors of the original questionnaires) the psychometric properties of the Romanian versions of DEBQ and TEMS on an adult general population and explored associations of eating behaviour with weight status with both questionnaires. …”
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The Relationship between Attention and Balance in Children with Cerebral Palsy: A Comparative Preliminary Study in Diplegia and Hemiplegia by mahrokh ghahari, Aliyeh Daryabor, mino kalantari, ashkan irani, zahra Shafiee

“…Spearman's correlation coefficient was calculated to determine the relationship between attention and balance, with a significance threshold of α=0.05. …”
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Relationship Between Craniovertebral Angle and Upper Trapezius Muscle Stiffness and Tone in Office Workers by Yoon-ji Lee, Sung-hoon Jung, Jun-hee Kim, Oh-yun Kwon

“…Objects: This study aimed to investigate the relationship among CVA, UT muscle stiffness, and tone in both habitual working and standing postures among asymptomatic office workers. Methods: Forty asymptomatic office workers participated in the study. …”

The development of open bite in patients with adenoid hypertrophy: clinical and radiological examination by M. E. Makarova, Z. S. Khabadze, Yu. A. Generalova, A. A. Kulikova, F. V. Badalov, M. Yu. Dashtieva, A. Yu. Umarov

“…To study the prevalence of adenoid hypertrophy in children aged 7 to 9 years with anterior open bite, paying special attention to the characteristics of the factors determining the development of this malocclusion.MATERIALS AND METHODS. 60 children aged 7 to 9 years with an orthodontic diagnosis of anterior open bite were included in the study. …”
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Test–Retest Reliability and Concurrent Validity of Photoplethysmography Finger Sensor to Collect Measures of Heart Rate Variability by Donald W. Rogers, Andreas T. Himariotis, Thomas J. Sherriff, Quentin J. Proulx, Megan T. Duong, Sabrina E. Noel, David J. Cornell

“…Additionally, similar standard errors of the mean, coefficient of variation, and minimal detectable change metrics were observed across all devices. …”
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Housing Price Modeling Using a New Geographically, Temporally, and Characteristically Weighted Generalized Regression Neural Network (GTCW-GRNN) Algorithm by Saeed Zali, Parham Pahlavani, Omid Ghorbanzadeh, Ali Khazravi, Mohammad Ahmadlou, Sara Givekesh

“…The average index of the adjusted coefficient of determination in other methods, including the MLR, GWR, GTWR, GRNN, GCW-GRNN, and the proposed GTCW-GRNN in different modes of using Euclidean or travel distance and fixed or adaptive kernel was equal to 0.760, 0.797, 0.854, 0.777, 0.774, and 0.813, respectively, which showed the success of the proposed GTCW-GRNN algorithm. …”
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Validation of Inland Water Surface Elevation from SWOT Satellite Products: A Case Study in the Middle and Lower Reaches of the Yangtze River by Yao Zhao, Jun’e Fu, Zhiguo Pang, Wei Jiang, Pengjie Zhang, Zixuan Qi

“…In some areas, the extracted WSE aligns closely with the in situ water level trend, with a 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>) exceeding 0.9, while in other areas, the <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> is lower (less than 0.8), and the error compared to in situ water levels is larger (with Root Mean Square Error (RMSE) greater than 1.0 m). (2) This study proposes a combined denoising method based on the Interquartile Range (IQR) and Adaptive Statistical Outlier Removal (ASOR). …”
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Modeling of CO₂ Efflux from Forest and Grassland Soils Depending on Weather Conditions by Sergey Kivalov, Irina Kurganova, Sergey Bykhovets, Dmitriy Khoroshaev, Valentin Lopes de Gerenyu, Yiping Wu, Tatiana Myakshina, Yakov Kuzyakov, Irina Priputina

“…The mean bias error (MBE), root-mean-square error (RMSE), and determination coefficient (R²) were employed to assess the quality of the model’s performance. …”
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Capítulo VIII: heredabilidad del rendimiento y sus componentes en tomate, Lycopersicon esculentum, Mill.; correlaciones genéticas y ambientales by Lobo Arias Mario, Vallejo Cabrera Franco Alirio

“…The results indicate that the best method to improve yields would be a selection index considering mean weight of fruits and giving some consideration to number of fruits per plant. …”
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Cyclic alternating pattern in normal children aged 12 to 24 months Padrão alternante cíclico em crianças normais de 12 a 24 meses by Gabriela Rodrigues Alves, Agostinho Rosa, Magneide Brito, Marcia Pradella-Hallinan, Sergio Tufik

“…RESULTS: CAP rate found in children of 12 to 24 months of age was (25.78±10.18%) and it is characterized by a linear increase of 2% per month, from 12% at 12 months reaching 35% at 24 months. With coefficient of determination R² of 0.91. The duration of A phases was 6.93±1.06 seconds, and B phases was found to last 21.44±2.31 seconds. …”
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