The effect of promotional health message framing on the perceived benefit of mammography: evidence from estimation of willingness to pay by Bahman Ahadinezhad, Gita Rashvand, Simin Karimi, Ahad Alizadeh, Mahammad Amerzadeh, Omid Khosravizadeh

“…The mammography demand has been estimated using robust standard error Logistic regression. Demand rate of mammography has been compared between two types of information framing using the chi-square test. …”
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Interpreting and evaluating digital soil mapping prediction uncertainty: A case study using texture from SoilGrids by Linda Lilburne, Anatol Helfenstein, Gerard B.M. Heuvelink, Andre Eger

“…We suggest that more research and educational effort is needed to ensure that digital soil maps are used appropriately.…”
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Development of a Model for Soil Salinity Segmentation Based on Remote Sensing Data and Climate Parameters by Gulzira Abdikerimova, Dana Khamitova, Akmaral Kassymova, Assyl Bissengaliyeva, Gulsara Nurova, Murat Aitimov, Yerlan Alimzhanovich Shynbergenov, Moldir Yessenova, Roza Bekbayeva

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Validation of the Maslach burnout inventory-general survey 9-item short version (MBI-GS9) among care aides in Canadian nursing homes by Anni Wang, Yinfei Duan, Seyedehtanaz Saeidzadeh, Peter G. Norton, Carole A. Estabrooks

“…The MBI-GS9 had a three-factor structure in the full sample and showed equivalent factor structure, factor loadings, latent values, factor variance and error variance across different sex and age groups. …”
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Thermonuclear Superburst of MAXI J1752−457 Observed with NinjaSat and MAXI by Amira Aoyama, Teruaki Enoto, Takuya Takahashi, Sota Watanabe, Tomoshi Takeda, Wataru Iwakiri, Kaede Yamasaki, Satoko Iwata, Naoyuki Ota, Arata Jujo, Toru Tamagawa, Tatehiro Mihara, Chin-Ping Hu, Akira Dohi, Nobuya Nishimura, Motoko Serino, Motoki Nakajima, Takao Kitaguchi, Yo Kato, Nobuyuki Kawai, (NinjaSat collaboration)

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Commonly missed nursing cares in the obstetrics and gynecologic wards of Tigray general hospitals; Northern Ethiopia. by Mebrahtom Haftu, Alem Girmay, Martha Gebremeskel, Gebrekiros Aregawi, Dawit Gebregziabher, Carmen Robles

“…<h4>Background</h4>Missed nursing care is considered an error of omission and is defined as any aspect of required patient care that is omitted (either in part or whole) or significantly delayed. …”
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Assessment of Quality of Life in Cervical Cancer Patients at a Tertiary Care Centre by Koppolu Keerthana, Savolu Cynthia Subhaprada

“…Sample size was calculated using Cochran’s formula, taking prevalence of cervical cancer as 9.4% and absolute error of precision as 5%. Institutional ethical committee clearance and informed consent of study participants were obtained. …”
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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction by Peng Lu, Yuchen He, Wenhui Li, Yuze Chen, Ru Kong, Teng Wang

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Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review by José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, Eduardo Maio, Eduardo Maio, Eduardo Maio, Pedro Afonso, Pedro Afonso, Samuel Encarnação, Samuel Encarnação, Samuel Encarnação, Guilherme F. Machado, Guilherme F. Machado, Ryland Morgans, Tiago M. Barbosa, Tiago M. Barbosa, António M. Monteiro, António M. Monteiro, Pedro Forte, Pedro Forte, Pedro Forte, Ricardo Ferraz, Ricardo Ferraz, Luís Branquinho, Luís Branquinho, Luís Branquinho, Luís Branquinho

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Harmonizing measurement tools: examining the concurrent validity of the Daily Activity Behaviors Questionnaire compared to the ActiGraph to assess 24-hour movement behaviors among... by Iris Willems, Vera Verbestel, Dorothea Dumuid, Patrick Calders, Bruno Lapauw, Marieke De Craemer

“…Intraclass correlations (95% confidence intervals), Bland-Altman plots, Spearman’s correlations and the magnitude of error were calculated to estimate the absolute agreement and validity. …”
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Awareness and readiness to use artificial intelligence by the adult population of Ukraine: Survey results by Svitlana Tarasenko, Oleksandra Karintseva, Wojciech Duranowski, Artem Bilovol, Viacheslav Voronenko

“…Policymakers, educators, and businesses must develop artificial intelligence-related initiatives and strategies to effectively engage and benefit the population. …”
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Performance of the digital trail making test in older adults with white matter lesions by Xinjun Shan, Le Tian, Hongyi Zhao, Hongyi Zhao, Xiuli Zhao, Fangyuan Wei

“…The participants completed the dTMT Part A (dTMTA) and dTMT Part B (dTMTB) to obtain the outcomes, such as dTMT completion time, number of errors, time inside each circle, total pathway deviation of each step, and velocity of drawing of each step. …”
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A peer-support lifestyle intervention for preventing type 2 diabetes in India: A cluster-randomized controlled trial of the Kerala Diabetes Prevention Program. by Kavumpurathu R Thankappan, Thirunavukkarasu Sathish, Robyn J Tapp, Jonathan E Shaw, Mojtaba Lotfaliany, Rory Wolfe, Pilvikki Absetz, Elezebeth Mathews, Zahra Aziz, Emily D Williams, Edwin B Fisher, Paul Z Zimmet, Ajay Mahal, Sajitha Balachandran, Fabrizio D'Esposito, Priyanka Sajeev, Emma Thomas, Brian Oldenburg

“…We did not adjust for multiple comparisons, which may have increased the overall type I error rate.<h4>Conclusions</h4>A low-cost community-based peer-support lifestyle intervention resulted in a nonsignificant reduction in diabetes incidence in this high-risk population at 24 months. …”
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Psychological and Social Factors in Jury Decision-Making: An Analysis of the Influence of Implicit Bias and Prejudice by João Miguel Alves Ferreira, Sergii Tukaiev

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Parents' Attitudes Toward COVID-19 Vaccination for School Children in Jordan by Ahlam Abo Zaid, Mohammad Mahmoud Suliman, Mohammed ALBashtawy, Wafa' Ta’an, Mean Aljezawi, Asem Abdalrahim, Abdullah Alkhawaldeh

“…Statistical Package for the Social Sciences (SPSS) version 17 facilitated data analysis, incorporating descriptive and inferential statistics at a significance level of 0.05, with a 5% margin of error. The independent t-test and One-Way ANOVA were employed to depict differences between studied variables. …”
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Machine learning based compact MIMO antenna array for 38 GHz millimeter wave application with robust isolation and high efficiency performance by Md. Ashraful Haque, Md. Sharif Ahammed, Soeung Socheatra, Redwan A. Ananta, Md. Jamal Hossain Nirob, Narinderjit Singh Sawaran Singh, Noorlindawaty Md. Jizat, Saeed Alsowail, Samir Salem Al-Bawri

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Prevalence of Anemia in Pregnant Women Attending a Healthcare Facility in Multan: A Cross-Sectional Study by Imtiaz Hussain, Talha Rasheeq, Aamena Gardezi, Shahid Mukhtar, Muhammad Tahir, Huzaifa Nazir Siddiqui

“…The sample size was calculated by keeping the estimated incidence of anemia at 40%, 5% margin of error and a 95% confidence interval. The data was collected through a structured questionnaire, which included questions about demographic data (age, educational status, occupation, and eating habits) and the obstetric history of women. …”
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Socioeconomic inequality in undernutrition among late female adolescent in sub-Saharan African countries: a decomposition analysis by Ever Siyoum Shewarega, Tsion Mulat Tebeje, Makida Berhan Alem, Mulugeta Lulie Assres, Elsa Awoke Fentie

“…Results The weighted Erreygers normalized concentration index for undernutrition was − 0.070 with Standard error = 0.0053 (P value < 0.0001); this revealed that undernutrition was disproportionately concentrated among the poor (pro-poor). …”
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An examination of the effectiveness of mindfulness-integrated cognitive behavior therapy on depression, anxiety, stress and sleep quality in Iranian women with breast cancer: a ran... by Mahboobeh Soleymani Moghadam, Aliakbar Parvizifard, Aliakbar Foroughi, Seyed Mojtaba Ahmadi, Negin Farshchian

“…Descriptive statistics such as frequency, mean and standard deviation, repeated measures ANOVA, and the Bonferroni test were used to analyze the data. The maximum alpha error level was considered 0.05 to test the hypotheses (p ≥ 0.05). …”
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Estimation of the air conditioning energy consumption of a classroom using machine learning in a tropical climate by Liliana Ortega-Diaz, Julian Jaramillo-Ibarra, German Osma-Pinto

“…The evaluation of the models was performed using RMSE, MAE and R2 metrics, to different characteristics and approaches to error measurement. During the training phase, the RFR model achieved a coefficient of determination (R2) of 0.97, while the SVR obtained an R2 of 0.78 in the test phase. …”
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