Experimental Study on the Influence of Crack Penetration Rate on Strength Properties of Expansive Soil by HU Bo, WANG Shuai, SUN Hui, GENG Hong-bin, WANG Qing, ZHOU Hong-jun

“…A comparative analysis of the calculated and predicted shear strength values under different penetration rates showed that the deviation of the internal friction angle prediction from the experimental value ranged from -2.5% to 6.7%, and that of cohesion ranged from -19.7% to -3.3%, all within the allowable experimental error. [Conclusion] This study uses a novel simulation material to quantitatively analyze the influence of cracks on the strength properties of expansive soil, investigating the effect of cracks on shear failure patterns and strength characteristics. …”
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A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

“…The study improved impaction prediction accuracy to a rate of 78%, with horizontal class predictions achieving a precision of 0.72 and an error rate of 28.1%. Additionally, the regularized logistic regression model attained 75% accuracy for classification and prediction.ConclusionThe study aims to improve dental research by predicting the eruption behavior of lower molars, enabling dental practitioners to make more concise treatment plans. …”
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A novel smart surveillance approach to strengthen health facility-based disease surveillance in Tanzania by Ms Happy Mkali, MD Alix Miauton, Dr. Alexandra Kulinkina, Ms. Magreth Joram, MD Caroline Enos, Mr. Lazar Pavicevic, Mr. Vincent Faivre, Dr. MD Rainer Tan, Dr. Sabine Renggli, Ms. Theopista Lotto, Mr. Sinamgoda Ngailla, MD Godfrey Kavishe, Mr. Ibrahim Mtebene, Mr. Peter Agrea, MD Lameck Luwanda, Mr Geofrey Ashery, MD Chacha Mangu, Dr. MD Nyanda Ntinginya, Prof. Dr. Honorati Masanja, Prof. Dr. MD Isabella Eckerle, Prof. Dr. MD Valerie D'Acremont

“…Introduction: The Integrated Disease Surveillance and Response system relies mainly on aggregated, paper-based, error-prone routine data from health facilities. …”
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Correlation of Cartridge Based Nucleic Acid Amplification Test Grading Based on Cycle Threshold Value with Clinicoradiological Profile and Time to Culture Positivity in Pulmonary T... by Mohammed Javed Qureshi, Bhanu Pratap Choudhary, Chand Bhandari, Harsh Maheshwari, Manoj Saini, Dheeraj Merotha

“…The study included 110 participants (calculated for 95% confidence, 80% power and 7.5% error, based on 62% smear-positive prevalence and 90.5% GeneXpert sensitivity). …”
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A Statistical Framework to Detect and Quantify Operator-Learning Curves in Medical Device Safety Evaluation by Ssemaganda HC, Davis SE, Govindarajulu US, Koola JD, Mao J, Westerman DM, Perkins AM, Speroff T, Ramsay CR, Sedrakyan A, Ohno-Machado L, Matheny ME, Resnic FS

“…We evaluated the performance using sensitivity, specificity, and likelihood ratio (LR) in detecting the presence of LE and, if present, the goodness-of-fit of the estimated LC based on the root-mean squared error.Results: Among the 2483 simulated datasets, the median (IQR) number of cases was 218,000 (116,000– 353,000). …”
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A randomized controlled study on the effect of intermittent theta burst stimulation on craving, mood, and cognitive function in alcohol-dependent patients during the withdrawal per... by WANG Haihong, YUAN Chenxin, GAN Hong, JIANG Haifeng, ZHAO Yan, DU Jiang, ZHANG Yi

“…Simple effect analysis showed that the VAS score of the real stimulation group was lower than that of the sham stimulation group after the intervention (F=8.805, P=0.005, ηp2=0.184), and the TWOB score of the real stimulation group was higher than that of the sham stimulation group (F=11.293, P=0.002, ηp2=0.225).Conclusion·Combining iTBS with routine inpatient treatment can enhance the efficacy of reducing alcohol craving in alcohol-dependent patients during the withdrawal period, and improve their working memory.…”
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The impacts of different eyes, individual differences, and different time points in healthy rats on the variability of visual electrophysiological examination indicators by Hong Chen, Yu Cheng, Ke Diao, YiFan Wang, Jing An, Haijiang Zhang, RongRong Li, Dan Zhang, SuMian Cheng, Minglian Zhang, LiFei Wang

“…During retinal function assessment by ffERG, the detection error for different eyes of the same individual<different individuals<different time points, which can be reduced using a reasonable control scheme.…”
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Patient centered outcomes in stroke: utility-weighted modified Rankin Scale results in a community-based study by Carlos Delfino, Gabriel Cavada, Lorena Hoffmeister, Pablo Lavados, Pablo Lavados, Paula Muñoz Venturelli, Paula Muñoz Venturelli, Paula Muñoz Venturelli

“…Sex-disaggregated analysis showed that age > 70 years was a significant predictor in males (β −0.069 [SE 0.024], p = 0.006), while presenting an AIS had a greater impact on female’s worse UW-mRS score (β −0.087 [SE 0.033], p = 0.010).ConclusionThese results present UW-mRS values derived from a population-based stroke study. …”
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基于数字图像比色法的食用油酸价检测研究Determination of acid value of edible oil by digital image colorimetry-based method by 李跃凡1，马改琴1，王媛媛1，张帆2，于修烛1LI Yuefan1, MA Gaiqin1, WANG Yuanyuan1, ZHANG Fan2, YU Xiuzhu1

“…The relative standard deviation of the digital image colorimetry-based method in the precision analysis was 4.14%, which was slightly smaller than that of the national standard method (4.16%). In conclusion, the digital image colorimetry-based method is simple and convenient, and can be used for the determination of acid value of edible oil.…”
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Designing a Dynamic Model for Evaluating Construction Investment Projects A System Dynamics Approach by Majid Moatamedi, Mohammad Hossein Darvish Motevlli

“…The results showed that these two values behave similar to each other. The error value of the model in the predicted value and the actual value is very small on average, which indicates the high accuracy of the model in predicting the behavior of the reference. …”
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應用智慧型家教系統於國小學童閱讀策略 教學之學習歷程研究 A Study on the Learning Process of Applying an Autotutoring System to Teach Reading Strategies to Elementary School Children... by 陳茹玲 Ju-Ling Chen, 曾厚強 Hou-Chiang Tseng, 連啟舜 Chi-Shun Lien, 蔡旻穎 Min-Ying Tsai, 宋曜廷 Yao-Ting Sung

“…Future strategy instruction could incorporate demonstrations of self-assessment and error detection, supported by awareness scales that illustrate the effectiveness of comprehension monitoring. …”
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Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches by Haiyang Zhang, Shuo Wu, Lehan Yang, Chengjing Fan, Huifang Chen, Hui Wang, Tianyi Zhu, Yinwei Li, Jing Sun, Xuefei Song, Huifang Zhou, Terry J Smith, Xianqun Fan

“…Conclusion: TED significantly affects patient QOL. The study highlights the efficacy of XGBoost and SHAP analyses in identifying key factors influencing the QOL in TED patients. …”
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Determining the Teachers' Attitude towards "Mistake" and "Making Mistakes" in the Learning Process and Improving the Culture facing it (case study: elementary school students) by Mazhar Babaee, Hedyeh Azagh

“…FindingsTable 1: Attitudes and solutions of teachers in the face of students making mistakescategoryConceptTeachers' perception of "mistake" and "making mistakes"Failure to achieve educational goalsPart of the learning processHow teachers react to students' mistakesThe difference between the statements and what was taughtFind the cause of the errorEncouraging and supportiveEncourage learning from mistakesAnger and indignationPunishment and condemnationFactors affecting the way teachers deal with students' mistakesNot emotionalThe level of study and knowledge of the teacherStudent ability levelConsequences of students making mistakesLack of perfectionist mentalityAn opportunity to grow and learnStrengthen risk toleranceDecreased self-confidenceReduced concentration and motivationHow the teacher's perception and his methods of dealing with students' mistakes affect their educabilityCreating a safe spaceValuing learning from mistakesEncouragement to experience and errorTeachers' strategies to encourage students to create opportunities for growth and learning from mistakesEstablish proper communicationRight view toward mistakeCreating a safe environment for learningProvide constructive feedbackHow to improve the culture of confronting students making mistakes in schoolsCreating self-confidence in studentsEmpowering teachers and executive staffTeaching critical thinking skills Discussion and conclusionIn response to the first research question, five themes, four categories and 55 concepts were obtained. …”
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Thrombus composition and distribution patterns by thrombus volume in acute ischemic stroke by Jaeseob Yun, Jae Wook Jung, Kwang Hyun Kim, Hyo Suk Nam, Hyo Suk Nam, JoonNyung Heo, Hyungwoo Lee, Byung Moon Kim, Dong Joon Kim, Minyoul Baik, Joonsang Yoo, Jinkwon Kim, Hyungjong Park, Sung-Il Sohn, Jeong-Ho Hong, Tae-Jin Song, Yoonkyung Chang, Jung Hwa Seo, Gyu Sik Kim, Kwon-Duk Seo, Seong Hwan Ahn, Jang-Hyun Baek, Han-Jin Cho, Jin Kyo Choi, Yo Han Jung, Bang-Hoon Cho, Il Kwon, Ji Hoe Heo, Young Dae Kim, Young Dae Kim

“…Thrombus volume was independently related to the RBC proportion (β 1.00, standard error [SE] 0.27, p < 0.001), mixed (β 21.04, SE 10.10, p = 0.038), and erythrocytic pattern (β − 29.78, SE 11.54, p = 0.011). …”
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The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

“…GEOMOD also predicts less complexity in shape but the difference between ground truth data and simulation in 2001 (relative error of 0.4 %) was more than 2010 (relative error of 0.1 %). …”
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Assessing the Socio-economic Effects of Reservoir Dam Construction, Case Study; Siahzakh in Divandareh, Iran by Peyman Akbarzadeh, Seyyed Hassan Kaboli

“…By the Cochran formula, 183 of the households were determined, for including the error probability, 200 questionnaires were considered. …”
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Investigating the Effect of Different Concentrations of Organic Acids (Ascorbic, Citric, Malic, and Tartaric) on the Viscosity and Rheological Properties of Balangu Seed Gum by Fakhreddin Salehi, Maryam Tashakori, Kimia Samary

“…The Power law model had a good performance with the highest correlation coefficient (>0.9406) and least sum of squared error (<0.0090) and root mean square error (<0.0275) for all samples. …”
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Aided Greenway Design Approach Based on Internet Big Data and AIGC Fine-Tuning Model by Yifan WU, Lu MENG, Liang LI

“…In addition, the use of various fine-tuning models can realize the tasks of generating error control and drawing style migration.ConclusionThe approach proposed in the research has some limitations. …”
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Workplace Incivility and Job Alienation: Analyzing the Mediating Role of Social Capital and the Moderating Role of Psychological Capital by Fariborz Fathi Chegeni, Mostafa OmidNezhad

“…Based on the population size, a sampling error of 5%, and a confidence level of 95%, the required sample size was calculated to be 300 individuals. …”
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The Characteristic of Measles Epidemic Process in Kyrgyz Republic by M. S. Niiazalieva, O. V. Tsvirkun, V. S. Toygombaeva, I. Sh. Aldjambaeva, G. S. Ishenapysova, R. A. Frolov, G. S. Dadanova

“…Descriptive statistics – mean and standard error of the mean (data are presented as M ± m) for quantitative variables, for qualitative variables – determination of proportion.Results and Discussions. …”
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