Development and validation of a risk prediction model for pulmonary tuberculosis among presumptive tuberculosis cases in Ethiopia by Kefyalew Addis Alene, Haileab Fekadu Wolde, Archie C A Clements

“…Logistic regression was used to determine which variables are predictive of pulmonary TB. A risk prediction model was developed, incorporating significant variables (p<0.05). …”
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Differential expression of salivary S100A7 in oral submucous fibrosis by Muhammad Arsalan Raffat, Naila Irum Hadi, Mervyn Hosein, Adnan Mustafa Zubairi, Sana Ikram, Zohaib Akram

“…Aim: To investigate the expression of salivary S100A7 levels among patients with oral submucous fibrosis (OSF) and healthy controls. …”
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Reproduction Performance of the Second Generation of Reciprocal Cross of Tegal and Magelang Duck by Purwantini Dattadewi, Santosa R. Singgih Sugeng, Santosa Setya Agus, Susanto Agus, Chandrasari Dewi Puspita

“…The value of heterosis value was obtained by comparing the performance of crossbred with that of their parents. …”
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VARIATION OF EMBRYO WEIGHT IN BREEDING ACCESSIONS OF CARROT by A. F. Bukharov, D. N. Baleev, M. I. Ivanova

“…The objects  of  the  study  were  seeds of  carrot taken from  variety ‘Rogneda’  regarded  as a standard, breeding lines 690V, 690P and 753. The aim of the work was to study the dry weight of carrot-embryos and calculate the main characteristics regarding their variability among different accessions that were obtained through both inbreeding and outbreeding methods. …”
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Classification of spinopelvic balance in ambulatory adolescents and adults with cerebral palsy: a cross-sectional study by Emmanuelle Chaléat-Valayer, Carole Vernez, Stéphane Verdun, Soline Bellaiche, Laure Mathevon, Rachel Bard Pondarré, Hovannes Agopyan, Marianne Bagnol, Kariman Abelin

“…We applied a non-supervised hierarchical ascendant classification followed by k-medoids analysis to 5 key anatomical variables. We compared radiological and clinical variable values between the spinopelvic profiles identified. …”
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Forecasting Stock Market Volatility Using Hybrid of Adaptive Network of Fuzzy Inference System and Wavelet Functions by Abdullah H. Alenezy, Mohd Tahir Ismail, S. Al Wadi, Muhammad Tahir, Nawaf N. Hamadneh, Jamil J. Jaber, Waqar A. Khan

“…The input variables in this study have been collected from Saudi Authority for Statistics and Saudi Central Bank. …”
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Revisiting Neutrophil-to-lymphocyte Ratio and De Ritis Ratio as Glycemic Control Assessment Tool among Type 2 Diabetes Mellitus: A Retrospective Study by Asharani Ningappa, Mahanth Nagaraju

“…Neutrophil-to-lymphocyte ratio (NLR) and De Ritis ratio are indicators of subclinical systemic inflammation. The study aimed to compare NLR and De Ritis ratios at different levels of glycemic control and find the best cut-off value for NLR and De Ritis ratio to assess glycemic control among type 2 DM (T2DM) patients. …”
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Evapotranspiration Dynamics and Partitioning in a Grassed Vineyard: Ecophysiological and Computational Modeling Approaches by Flávio Bastos Campos, Torben Oliver Callesen, Carina Verónica Gonzalez, Giorgio Alberti, Leonardo Montagnani, Massimo Tagliavini, Jacob A. Nelson, Damiano Zanotelli

“…Measured and modeled fluxes showed high daily variability, consistently with meteorological conditions (vapor pressure deficit, Rn and Tair). …”
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Representation of the stochastic matrix sets with given properties based on autonomous automatic models by V.M. Zakharov, S.V. Shalagin, B.F. Eminov

“…These estimates reflect the dependencies of the values of powers of the generated sets of stochastic matrices on the dimension characteristics of the automaton models. …”
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Total Reflection X-Ray Fluorescence Spectroscopy (TXRF) Method Validation: Determination of Heavy Metals in Dietary Supplements by Blanca G. Beltrán, Victor Ramos-Sanchez, David Chávez-Flores, Rogelio Rodríguez-Maese, Edwin Palacio

“…Methods validation was conducted through a multivariate analysis using a central composite design (CCD) and a desirability function. Critical values for each study variable were established. The TXRF_DS_1 method was proposed for Pb, As, and Cr determinations, while the TXRF_DS_2 was established for Hg analysis. …”
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Evaluation of Population Pharmacokinetic Models of Micafungin: Implications for Dosing Regimen Optimization in Critically Ill Patients by Xiping Li, Xiaoqin Liu, Juehui Mao, Dong Liu, Zheng Jiao

“…However, its pharmacokinetics can be highly variable in this population. This systematic review aims to summarize population pharmacokinetic models and provide recommendations for its use in intensive care unit (ICU) patients. …”
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Recycling Discharged Treated Wastewater from Dairy Factories for Industrial and Irrigation Purposes by Waleed M. Abood, Dhafir F. Ali, Firas S. Abass, Baydaa M. Ali

“… The research aims to assess the input (raw water, RW) and output water (produced water, PW) specifications within the treatment unit of the Abu Ghraib dairy factory. …”
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The relationship between career calling and presenteeism: the role of workaholism and self-compassion by Zhaobiao Zong, Feifei Sun, Haichao Sun, Shaoqing Su, Baojian Wei

“…Finally, the estimated indirect effect and moderated mediation coefficients were calculated at both high and low values of the moderating variable to assess the moderated mediation hypothesis.Results Our research reveals the underlying mechanism of workaholism and the mitigative effects of self-compassion in the career calling and presenteeism linkage. …”
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Comparison of multi-state Markov models for cancer progression with different procedures for parameters estimation. An application to breast cancer by Leonardo Ventura, Giulia Carreras, Donella Puliti, Eugenio Paci, Marco Zappa, Guido Miccinesi

“…When the model complexity was increased a higher variability in estimates was observed among the estimation procedures. …”
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Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia by E. A. Ivanova, A. R. Suleymanov, D. A. Nikitin, M. V. Semenov, E. V. Abakumov

“…A machine learning approach (Random Forest) was employed to generate digital distribution maps using climatic, topographic, vegetation, geological, and soil variables. Model interpration was performed using variable importance assessment and Shapley values. …”
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Clinical Characteristics and Outcomes for Neonates with Respiratory Failure Referred for Extracorporeal Membrane Oxygenator (ECMO) Support by Pooja Musuku, Keith Meyer, Felipe E. Pedroso, Fuad Alkhoury, Balagangadhar R. Totapally

“…<b>Objective</b>: The aim of this study was to describe the presenting characteristics and outcomes of neonates with respiratory failure referred for extracorporeal membrane oxygenation (ECMO) support, compare those who received ECMO support (ECMO group) to those who did not (non-ECMO group), and evaluate the predictive variables requiring ECMO support. …”
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Assessment of Pulmonary Function After Treatment of Scoliosis: Meta-Analysis and Review Article by Majdi Hashem

“…Individual studies showed variability: some reported increases in FVC and FEV1 by over 1.5 L, while others observed decreases in percent predicted values and absolute volumes. …”
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Genetic diversity and transmission characteristics of Beijing family strains of Mycobacterium tuberculosis in Peru. by Tomotada Iwamoto, Louis Grandjean, Kentaro Arikawa, Noriko Nakanishi, Luz Caviedes, Jorge Coronel, Patricia Sheen, Takayuki Wada, Carmen A Taype, Marie-Anne Shaw, David A J Moore, Robert H Gilman

“…They were also subjected to variable number tandem-repeat (VNTR) typing using an international standard set of 15 loci (15-MIRU-VNTR) plus 9 additional loci optimized for Beijing strains. …”
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Prediction of poor outcome in patients with acute liver failure-systematic review of prediction models. by Kama A Wlodzimirow, Saeid Eslami, Robert A F M Chamuleau, Martin Nieuwoudt, Ameen Abu-Hanna

“…Accurate prognosis of ALF is crucial for proper intervention.<h4>Aim</h4>To identify and characterize newly developed prognostic models of mortality for ALF patients, assess study quality, identify important variables and provide recommendations for the development of improved models in the future.…”
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Molecular epidemiology, distribution, and determinants of cutaneous leishmaniasis in Northeast Ethiopia by Melkam Tesfaye, Araya Gebressilassie, Zeleke Mekonnen, Ahmed Zeynudin, Delenasaw Yewhalaw

“…DNA was extracted from the skin-scraped samples, and Leishmania parasite detection and species identification were performed via polymerase chain reaction (PCR). Variable and multivariate binary logistic regressions with AORs and p values ≤ 0.05 were used to identify determinants and determine the strength of the associations. …”
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