Efecto a corto plazo de la técnica de deslizamiento neurodinámico sobre la flexibilidad de los músculos isquiosurales en futbolistas universitarios: un estudio piloto de ensayo clí... by Fabio Ciurlizza Escobar, Giancarlo Becerra-Bravo, Sergio Bravo-Cucci

“…Cohen's d was used for the effect size, obtaining a value of 1.8 (95% CI: 1 – 2.6), indicating a large effect. …”
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What makes them dream big? Determinants of business growth aspirations among Polish students by Jakub Golik

“…The proposed model includes growth aspirations as an endogenous variable and eight exogenous variables. Firstly, I described the sample with descriptive statistics and correlation matrix using appropriate correlation coefficients (Spearman for variables using ordinal scale and Yule’s phi for binary variables), which I followed with the collinearity checks with the use of variance inflation factors (VIFs). …”
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Machine learning models for predicting tibial intramedullary nail length by Sercan Capkin, Ali Ihsan Kilic, Hakan Cici, Mehmet Akdemir, Mert Kahraman Marasli

“…The performance of the models was evaluated using the mean squared error (MSE) and the R-squared values. Results The linear regression model demonstrated superior performance compared to the random forest, decision tree, and XGBoost models, with an R-squared value of 0.89, an MSE of 117.53, and a root mean squared error (RMSE) of 10.84 mm. …”
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Characterization of a new radiochromic film (LD-V1) using mammographic beam qualities by Erika Nakajima, Hitoshi Sato

“…Irradiation was performed using the time scale method based on the load on the equipment. …”
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Validity of the scoring system for traumatic liver injury: a generalized estimating equation analysis by Kangho Lee, Dongyeon Ryu, Hohyun Kim, Chang Ho Jeon, Jae Hun Kim, Chan Yong Park, Seok Ran Yeom

“…The primary outcome variable was in-hospital mortality. All the risk factors were analyzed using multivariate logistic regression analysis. …”
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Performance optimization of D2 tool steel machining using novel multi-material cladded electrodes in electric discharge machining by Shoaib Mohammad, M. Wasiq Habib, Ammara Kanwal, Muhammad Asim, Muhammad Farooq, Imran Zahid, Noreen Sher Akbar, Hussein Togun, Fahid Riaz

“…Discharge current, pulse time ratio and spark voltage were taken as variable parameters and Taguchi L9 array was established to identify design of experiments (DOE) that are used for experimentation of each of the two configurations. …”
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Site‐Specific Mutations on KRAS, NRAS, and BRAF Corelate With the Frequency of ctDNA in Colorectal Cancer by Fumihiro Yoshimura, Yoichiro Yoshida, Teppei Yamada, Keita Tanaka, Takaomi Hayashi, Hideki Shimaoka, Ryohei Sakamoto, Naoya Aisu, Gumpei Yoshimatsu, Suguru Hasegawa

“…Although circulating tumor DNA (ctDNA) is an important biomarker in CRC patients, positivity is variable because cutoff values for each gene have not been clearly established. …”
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Magnitude of late presentation for induced abortion care services and the associated factors among reproductive-age women at selected hospitals in the South Gondar district of Nort... by Eyaya Habtie Dagnaw, Marta Berta, Endehsaw Admasu Cherkos, Endalamaw Wondie Mequannent

“…Binary logistic regression analyses were undertaken to identify the factors associated with the outcome variable. The level of significance was declared at a p value of <0.05.Results The magnitude of late presentation for induced abortion care service was 21.5% (95% CI 17.7, 25.7). …”
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Online-Identification of Electromagnetic Parameters of an Induction Motor by V. K. Tytiuk, M. L. Baranovskaya, O. P. Chorny, E. V. Burdilnaya, V. V. Kuznetsov, K. N. Bogatyriov

“…Incompliance of the settings of the system to control actual values of the parameters of a variable frequency induction electric drive may sometimes result in complete non-operability of a variable frequency electric drive as well as in the considerable reduction of the dynamic quality parameters. …”
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Assessment of stock, spatial distribution, and recruitment of walleye pollock in the northern and eastern Bering Sea by Mikhail A. Stepanenko, Elena V. Gritsay

“…Strength of pollock year-classes is highly variable, too, and depends mostly on young-of-the-year fish survival in winter. …”
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Resting Heart Rate Does Not Predict Cardiovascular and Renal Outcomes in Type 2 Diabetic Patients by Vendula Bartáková, Linda Klimešová, Katarína Kianičková, Veronika Dvořáková, Denisa Malúšková, Jitka Řehořová, Jan Svojanovský, Jindřich Olšovský, Jana Bělobrádková, Kateřina Kaňková

“…A total of 421 T2DM patients with variable baseline stage of diabetic kidney disease (DKD) were prospectively followed. …”
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Risk-Based Method for Establishing Ad Hoc Separation Minima Between Aircraft in En-Route Airspace by Lidia Serrano-Mira, Javier A. Perez-Castan, Eduardo Sanchez Ayra, Irene Garcia Moreno, Marta Perez Maroto, Luis Perez Sanz

“…A novel collision risk model is developed to compute these Ad Hoc separation minima values from Monte Carlo and Fast Time Simulations. …”
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Clinical application of the systemic inflammatory response index in risk prediction of obstructive sleep apnea combined with coronary heart disease by QIU Xuan, GULIMIRE Aimaiti, CHEN Yulan, YAO Yanli, WANG Xingchen, AYIGUZAILI Maimaitimin

“…Conclusion A risk prediction model incorporating age， hypertension， diabetes， LDL-C， AHI， and SIRI has potential clinical value for predicting CAD in OSA patients.…”
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A study of stressful life events in patients with first-episode acute coronary syndrome (ACS)—a hospital-based case–control study by Muntaqueem Ul Kousar, Shaheena Parveen, Masood Maqbool, Yasir Hassan Rather, Fazle Roub Bhat, Neelofar Jan, Ubaid Rasool

“…While transportation accidents and fires/explosions demonstrated robust associations with ACS, the variable significance across different types of SLEs suggests a complex relationship between stressor type and cardiac outcomes. …”
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Employing Spectral Features to Accelerate Sorghum Phenotyping Against Sap‐Feeding Aphids by Kumar Shrestha, Kantilata Thapa, Esha Kaler, Misaki Taniguchi, Scott E. Sattler, James C. Schnable, Joe Louis

“…ABSTRACT Current efforts to detect and evaluate crop resistance to insect pests are limited by traditional phenotyping methods, which are time‐consuming and highly variable. Sugarcane aphid (SCA; Melanaphis sacchari) is a major pest of sorghum in North America that has emerged over the last decade and negatively impacts plant growth and development. …”
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Identification of Potential Metabolic Markers of Hypertension in Chinese Children by Jiahong Sun, Min Zhao, Liu Yang, Xue Liu, Lucia Pacifico, Claudio Chiesa, Bo Xi

“…Ultrahigh-performance liquid chromatography-quadrupole time-of-flight-mass spectrometry was performed to assess the serum metabolite profile. …”
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Influence of type traits on stayability in the Ital- ian Mediterranean buffalo by Damiano Altieri, Stefano Biffani, Mayra Gómez, Yuri Gombia, Dario Rossi, Luca Gubitosi, Nadia Piscopo, Francesca Carnovale, Rossella Di Palo

“…There are many ways to assess longevity, both quantitatively, such as age at culling and parity at culling, and qualitatively, such as in the case of stayability, where it is evaluated as a binary variable where 1 and 0 indicate the ability to stay or be culled at a given time, respectively. …”
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Principles and criteria affecting the physical identity shaping Iranian contemporary architecture (case study of the Second Pahlavi period) by Hamid Majedi, Seyede Sara Ebnoreza, Farh Habib

“…It would be considered as a variable affecting Tehran public building issues and investigated during the present study. …”
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Whole Genome Sequence Analysis of a Large Isoniazid-Resistant Tuberculosis Outbreak in London: A Retrospective Observational Study. by Nicola Casali, Agnieszka Broda, Simon R Harris, Julian Parkhill, Timothy Brown, Francis Drobniewski

“…The aim of this study was to investigate the power and value of whole genome sequencing (WGS) to resolve the transmission network compared to current molecular strain typing approaches, including analysis of intra-host diversity within a specimen, across body sites, and over time, with identification of genetic factors underlying the epidemiological success of this cluster.…”
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A blood test-based machine learning model for predicting lung cancer risk by Lihi Schwartz, Naor Matania, Matanel Levi, Teddy Lazebnik, Teddy Lazebnik, Shiri Kushnir, Noga Yosef, Assaf Hoogi, Dekel Shlomi, Dekel Shlomi

“…A majority of the blood tests made a highly variable contribution to the complex ML model; however, some tests, such as red cell distribution width, mean corpuscular hemoglobin, prothrombin time, hematocrit, urea, and calcium, contributed slightly more to a dichotomous prediction.ConclusionBlood tests can be used in the proposed ML model to predict LC. …”
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