Changes in white matter predict efficacy of repetitive transcranial magnetic stimulation in Parkinson's disease by Jinying Han, Lingling Lv, Xin Chen, Mengqi Wang, Lili Hu, Fengbo Xing, Pingping Liu, Liuzhenxiong Yu, Ziye Zhao, Jinmei Sun, Tingting Liu, Jingjing Cheng, Minhao Zhu, Manman Gao, Gongjun Ji, Rong Ye, Kai Wang, Panpan Hu

“…Conclusion: Baseline WM function may serve as a biomarker for predicting motor response to cTBS.…”
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EVALUATION OF A DECRESE IN WORK PRODUCTIVITY IN PATIENTS WITH RHEUMATOID ARTHRITIS by Olga Yuryevna Vakulenko, D V Goryachev, O A Krichevskaya, Sh F Erdes

“…The Spearman correlation coefficients with WPAI indicators were higher than 0.4 in all the cases. …”
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Application of Post-Occupancy Evaluation in the Design of Collegiatae Educational Space: (Case study: Faculty of Arts and Architecture, Islamic Azad University-Tehran South Branch) by Reza Naghdbishi, Zeinab Gohari

“…This analysis identified the relationship between research variables and evaluated their impact on the design. …”
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Assessment of upper limb motor control: establishing normative benchmarks for clinical applications by Pablo Martín-Sierra, Cristina Sanchez, Eloy Urendes, Rafael Raya

“…A combination of clinical functional scales with the quantitative metrics presented here is expected to enable better evaluation of motor control. …”
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Path model explaining the association between fear of falling and health-related quality of life in (pre-)frail older adults by Tjard Sattler, Sophie Gottschalk, Hans-Helmut König, Tobias Braun, Gisela Büchele, Michael Denkinger, Tim Fleiner, Corinna Nerz, Kilian Rapp, Martina Schäufele, Christian Werner, Judith Dams

“…Unlike previous studies that examined only few mediating variables, this study aimed to develop a more comprehensive path model explaining the association between FoF and HrQoL. …”
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Meristic and morphometric comparison of an undescribed sucker of the Río Culiacán (Catostomus sp.) and Yaqui sucker (Catostomus bernardini) (Catostomidae, Teleostei) from the Sierr... by Gorgonio Ruiz-Campos, Sergio Sánchez-Gonzáles, Richard L. Mayden, Alejandro Varela-Romero

“…Likewise, the discrimination was associated with the lowest values for predorsal distance, soft posterior ocular margin to occiput, and number of anal rays. The standardized coefficients for canonical variables 1 and 2 accounted 82.6% of the total variation. …”
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Estimativa das temperaturas máximas e mínimas do ar para a região do Circuito das Frutas, SP Estimation of maximum and minimum air temperatures for the "Circuito das Frutas" region... by Ludmila Bardin, Mário J. Pedro Júnior, Jener F. L. de Moraes

“…Also, maps with the spacial variability of the maximum and minimum mean monthly and annual temperatures are presented for the region.…”
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Exploring restoration efforts from a social lens: statistical models reveal relationships between salmon habitat restoration efforts and ecological and social characteristics of th... by Brittany D King, Robert Fonner

“…We specified statistical models to explain the variation in the number of restoration worksites undertaken in subwatersheds as a function of environmental and social variables. Using a common set of explanatory variables, we fit four models to examine the distribution of worksites associated with particular types of restoration actions (instream, riparian, land acquisition, and fish passage) and a fifth model to examine the distribution of all aquatic-based restoration worksites across action types. …”
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Concurrent Validity of Wearable Nanocomposite Strain Sensor With Two-Dimensional Goniometer and Its Reliability for Monitoring Knee Active Range of Motion in Multiple Participants by Han-Byeol Choi, Yongjun Kim, Ji Young Lim, Seonghee Kim, Sang Yul Yang, Kihyeon Kim, Hyouk Ryeol Choi, Seunghyun Baik, Ji Hye Hwang

“…The range of motion (ROM) of joints in the human body is essential for movement and functional performance. Real-time monitoring of joint angles is crucial for confirming pathologic biomechanics, providing feedback during rehabilitation, and evaluating the treatment efficacy. …”
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Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys by Uma Maheshwera Reddy Paturi, Muhammad Ishtiaq, Pasupuleti Lakshmi Narayana, Anoop Kumar Maurya, Seong-Woo Choi, Nagireddy Gari Subba Reddy

“…This study evaluates the predictive capabilities of various machine learning (ML) algorithms for estimating the hardness of AlCoCrCuFeNi high-entropy alloys (HEAs) based on their compositional variables. Among the ML methods explored, a backpropagation neural network (BPNN) model with a sigmoid activation function exhibited superior predictive accuracy compared to other algorithms. …”
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Effectiveness of eHealth for Medication Adherence in Renal Transplant Recipients: Systematic Review and Meta-Analysis by Lili Zhou, Ke Cheng, Linbin Chen, Xinyi Hou, Jingjing Wan

“…Primary outcomes included adherence measured by self-reported questionnaires, electronic monitoring devices, tacrolimus trough levels, intrapatient variability of tacrolimus concentrations, and the proportion of patients achieving a tacrolimus coefficient of variation <40%. …”
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A Systematic Review on Insights to Community Medicine and Clinical Research: Competency Training in Medical and Dental Education by Madeeha Minhas, Bilal Masood, Muhammad Hassaan Saeed, Amna Iqbal Butt, Fareed Ud Din Ahmad Chishti, Fatima Ali

“…The certainty of evidence showed moderate results for communication skills and patient satisfaction, and low to moderate results for the readiness in clinical trials and cultural competence due to variability in study design. Discussion: Effective competency training curricula substantially enhanced the functioning of healthcare systems and results for patients. …”
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Drug Release Analysis and Optimization for Drug-Eluting Stents by Hongxia Li, Yihao Zhang, Bao Zhu, Jinying Wu, Xicheng Wang

“…The diffusion coefficients and the coating thickness are selected as design variables. …”
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Impact of Body Image Perception on Behavioral Outcomes in Chinese Adolescent and Young Adult Survivors of Sarcoma by Yihui Wei, Chung Tin Ma, Michael Can Heng Li, Keary Rui Zhou, Herbert Ho Fung Loong, Kwok Chuen Wong, Chi Kong Li, Yin Ting Cheung

“…The significant risk factors associated with body image dissatisfaction were being female (standardized coefficient estimate [Est] = 0.21, SE = 0.10; p = 0.047), surgery treatment (Est = 0.19, SE = 0.09; p = 0.046), and worse family functioning (Est = 0.27, SE = 0.10, p = 0.013). …”
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Reconstructing Equatorial Electron Flux Measurements From Low‐Earth‐Orbit: A Conjunction Based Framework by D. L. Stumbaugh, J. Bortnik, S. G. Claudepierre

“…For each conjunction, we fit the equatorial pitch angle distribution (PAD) parameterized by the function JD=C⋅sinNα. The resulting conjunction data set contains the POES electron flux measurements, L and magnetic local time coordinates, geomagnetic activity Auroral Electrojet index, and C and N coefficients from the PAD fit for each conjunction. …”
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RP-18 HPLC Analysis of Drugs’ Ability to Cross the Blood-Brain Barrier by Anna W. Sobańska, Adam Hekner, Elżbieta Brzezińska

“…On the other hand, discriminant function analyses involving log k and (log k)/PSA as discriminating variables separated the CNS+ and CNS− compounds with the success rate ca. 90%. …”
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Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer by Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina, Carmen Criscitiello, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco

“…Traditional ancillary methods like immunohistochemistry (IHC) to assess TP53 functionality face pre- and post-analytical challenges. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Under the BIA, an alpha coefficient (α) of 15% is applied, whereas in the SA, each business line has a specific beta coefficient (β) ranging between 12% and 18%. …”
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Association between TSH Values and GFR Levels in Euthyroid Cases with Metabolic Syndrome by H. Keskin, K. Cadirci, K. Gungor, T. Karaaslan, T. Usta, A. Ozkeskin, A. Musayeva, F. Yesildal, F. Isman, H. Y. Zengin

“…Partial correlation coefficients were calculated to investigate the relationship between the eGFR values and several other numerical variables while controlling for age and BMI in addition to the adjusted gender effect. …”
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The potential habitat of Phlomoides rotata in Tibet was based on an optimized MaxEnt model by Jun-Wei Wang, Jun-Wei Wang, Min Xu, Norbu Ngawang, Yonghao Chen, Ngawang Bonjor, Xiaoyan Jia, Zhefei Zeng, Zhefei Zeng, La Qiong, La Qiong

“…IntroductionPhlomoides rotata, an important Tibetan medicinal plant, has garnered significant attention due to its remarkable medicinal value and ecological functions. However, overharvesting and climate change have progressively reduced its distribution range, threatening its survival.MethodsThis study employed an optimized MaxEnt model, integrating field survey data and multiple environmental variables, to predict and analyze the potential suitable distribution of P. rotata in Tibet.ResultsThe model achieved high predictive accuracy, with Ture skill statistic (TSS) = 0.87 and Cohen’s Kappa Coefficient (Kappa) = 0.81. …”
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