Differences in the Relative External Load Demands of Pre-Competitive Warm-Ups and Official Matches in Semi-Professional Football Players: A Pilot Study Considering Specific Positio... by José María Escudero-Ferrer, Luis Manuel Martínez-Aranda, Manuel Sanz-Matesanz, Konstantinos Spyrou, Pedro E. Alcaraz, Javier Raya-González

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Neurodevelopmental effects of perinatal exposure to cannabis on progeny: A narrative review by Chidimma Doris Azubuike, Oliver Grundmann, Amie J. Goodin

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Kratom use among ethnobotanical tea bar patrons in Colorado: Subjective drug effects, adverse reactions, and perceived benefits of use by Cianna J. Piercey, Joseph Bunch, Joseph Cameron, Riley Ahern, Isabella Packwood, Carter Bruning, Devin Henry, Jesse Ruehrmund, Katelyn Weldon, Kirsten E. Smith, Hollis C. Karoly

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High-risk alcohol consumption is associated with mitochondrial damage-associated molecular patterns in people living with HIV by Shannon R. Gilstrap, Micheal D. Ho, Joanna M. Hobson, Dyan M. White-Gilliam, Khalid Freij, Michael A. Owens, Shameka L. Cody, S. Justin Thomas, Robert E. Sorge, Burel R. Goodin

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The Role to Predict the Internet Addiction of Emotion Regulation in Adolescents by Mustafa Ercengiz, Ali Haydar Şar

“…According to results of data, that was found that 34% of Internet addiction in adolescents was explained by internet addiction, external functional emotion regulation, external non-functional emotion regulation and internal non-functional emotion regulation were related to internet dependencypositively and the internal functional emotion regulation was related to internet dependency negatively. …”
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Specific immune-inflammatory profiles and neurocognitive deficits predict illness trajectories in people with type 2 diabetes mellitus or psychiatric disorders by Joan Vicent Sánchez-Ortí, Patricia Correa-Ghisays, Vicent Balanzá-Martínez, Gabriel Selva-Vera, Víctor M. Victor, Constanza San Martin Valenzuela, Pau Soldevila-Matías, Fabián Robledo-Yagüe, María Flores-Rodero, Jon Sánchez-Valle, Jaume Forés-Martos, Diego Macías Saint-Gerons, Inmaculada Fuentes-Durá, Rafael Tabarés-Seisdedos

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Movement Disorders and Neuromodulation by Edward A. Shipton

“…Indications for the use of DBS include the need to improve function, reduce medication dependency, and avoid ablative neurosurgery. …”
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Contemporary treatment of right ventricular failure by Bibhuti B. Das, MD, Shashi Raj, MD, FAAP, FACC

“…Factors modulating RV function include afterload, preload, contractility, and interventricular dependency. …”
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Effect of physical exercise in sarcopenia in institutionalised elderlies by Inês Oliveira Marinho Gomes, Luís Azevedo, Catarina Martins, Henrique Pinto, Sofia Martins, Jorge Soares, Catarina Abrantes, Graça Pinto, Maria Paula Mota

“… Ageing is an irreversible natural and normal life process that leads to function loss, often associated with sarcopenia and increased dependence on others. …”
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Ambivalent partnership of the Drosophila posterior class Hox protein Abdominal-B with Extradenticle and Homothorax. by Jesús R Curt, Paloma Martín, David Foronda, Bruno Hudry, Ramakrishnan Kannan, Srividya Shetty, Samir Merabet, Andrew J Saurin, Yacine Graba, Ernesto Sánchez-Herrero

“…Here we explore how Abd-B function interface with that of Exd/Hth using several developmental contexts, studying mutual expression control, functional dependency and intrinsic protein requirements. …”
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Power production and area usage of offshore wind and the relationship with available energy in the atmosphere. by Ole Anders Nøst

“…The amount of available energy is determined by the mechanical energy budget of the atmospheric boundary layer and is found to be a function of C/A, where C is the circumference and A is the area of the wind farm. …”
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Mechanical Vibration Signal Denoising Using Quantum-Inspired Standard Deviation Based on Subband Based Gaussian Mixture Model by Aidong Xu, Wenqi Huang, Peng Li, Huajun Chen, Jiaxiao Meng, Xiaobin Guo

“…Aiming at improving noise reduction effect for mechanical vibration signal, a Gaussian mixture model (SGMM) and a quantum-inspired standard deviation (QSD) are proposed and applied to the denoising method using the thresholding function in wavelet domain. Firstly, the SGMM is presented and utilized as a local distribution to approximate the wavelet coefficients distribution in each subband. …”
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Cost efficiency of inpatient rehabilitation following acquired brain injury: the first international adaptation of the UK approach by Ian D Cameron, Julie Ratcliffe, Ian Cameron, Belinda Gabbe, Rachel Milte, Ciara Ryan, Karen Roberts, Zhibin Chen, Russell Gruen, Laura Jolliffe, Natasha A Lannin, Peter Hunter, Maria Crotty, Lynne Turner-Stokes, Lisa Cameron, David Attwood, Anne Holland, Jacqui Morarty, Lynne Turner Stokes, Christine Latimer, Dina Watterson, John Rabling, Melanie Reed, Mithu Palit, Troy Huggins, Verna Smith, Elizabeth O’Shannessy, Rebecca Nicks, Alison Gehrig, Katelyn Moloney, Sophie O’Keefe, Megan Coulter, Margaret Inches, Erin Gee, Sue McLellan

“…Inclusion criteria consisted of complete outcome measures recorded on admission and discharge, total n=196, mean age 44.6 years (range 17–78), males:females 72:28%, aetiology:trauma n=124 (63%), stroke n=42 (21%), diffuse n=18 (9%) and other-mixed n=12 (7%).Interventions Specialist inpatient multidisciplinary rehabilitation.Outcome measures Dependency and care costs: Northwick Park Dependency Scale/Care Needs Assessment (NPCNA); Functional independence: UK Functional Assessment Measure. …”
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Steroid hormone control of cell death and cell survival: molecular insights using RNAi. by Suganthi Chittaranjan, Melissa McConechy, Ying-Chen Claire Hou, J Douglas Freeman, Lindsay Devorkin, Sharon M Gorski

“…Identified genes were further characterized to determine their ecdysone dependency and potential function in cell death regulation. …”
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College students’ loneliness and mobile phone addiction: mediating role of mobile phone anthropomorphism and moderating role of interpersonal relationship quality by Huan Wang, Mingxin Ji, Huixin Tu, Yi Qi, Siyi Wu, Xingrui Wang

“…Previous research on mobile phones dependency examined their functional impact on user addiction, with limited exploration of individual psychological mechanisms. …”
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Distribution and determinants of the utilization of senior residential care homes in Saudi Arabia: a cross-sectional study by Saad M. Bindawas, Vishal Vennu, Maha Almarwani, Walid Alkeridy, Walid Alkeridy, Walid Alkeridy

“…The primary reasons for utilizing residential care home services were old age and functional dependency (88.5% of men and 83.4% of women). …”
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Large‐scale phosphomimetic screening identifies phospho‐modulated motif‐based protein interactions by Johanna Kliche, Dimitriya Hristoforova Garvanska, Leandro Simonetti, Dilip Badgujar, Doreen Dobritzsch, Jakob Nilsson, Norman E Davey, Ylva Ivarsson

“…We performed a detailed follow‐up on a phospho‐dependent interaction between clathrin and the mitotic spindle protein hepatoma‐upregulated protein (HURP), demonstrating the essentiality of the phospho‐dependency to the mitotic function of HURP. …”
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Virus Isolation and Rice Protoplast Infection by Yu Huang, Zhirui Yang, Yi Li

“…This approach eliminates dependency on stable transgenic lines, allowing the simultaneous introduction of exogenous plasmids for functional studies. …”
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Respiration defects limit serine synthesis required for lung cancer growth and survival by Eduardo Cararo Lopes, Fuqian Shi, Akshada Sawant, Maria Ibrahim, Maria Gomez-Jenkins, Zhixian Hu, Pranav Manchiraju, Vrushank Bhatt, Wenping Wang, Christian S. Hinrichs, Douglas C. Wallace, Xiaoyang Su, Joshua D. Rabinowitz, Chang S. Chan, Jessie Yanxiang Guo, Shridar Ganesan, Edmund C. Lattime, Eileen White

“…Abstract Mitochondrial function supports energy and anabolic metabolism. Pathogenic mitochondrial DNA (mtDNA) mutations impair these processes, causing mitochondrial diseases. …”
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Exact Solutions and Upscaling for 1D Two‐Phase Flow in Heterogeneous Porous Media by Kofi Ohemeng Kyei Prempeh, Parker William George, Pavel Bedrikovetsky

“…The exact procedure of upscaling from f = f(s, x) to F(S) is as follows: the inverse function to the upscaled F(S) is equal to the averaged saturation over x of the inverse microscale function s = f −1(f, x). …”
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