Developing generalized model representations of thermal shock for local non-equilibrium heat transfer processes by E. M. Kartashov

“…This explains the scientific and practical significance of constructing a theory of these processes, as well as developing effective methods for studying the modeled concepts developed on this basis. …”
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Developing a General Daily Lake Evaporation Model and Demonstrating Its Application in the State of Texas by Bingjie Zhao, Justin Huntington, Christopher Pearson, Gang Zhao, Thomas Ott, John Zhu, Andrew Weinberg, Kathleen D. Holman, Shuai Zhang, Ron Anderson, Maxwell Strickler, Jerry Cotter, Nelun Fernando, Kenneth Nowak, Huilin Gao

“…However, over the past few decades, the quantification of reservoir evaporation has primarily relied on monthly Class A pan evaporation observations, which might lead to largely biased estimations because they do not incorporate the effects of heat storage and fetch. In this study, we developed a general Daily Lake Evaporation Model (DLEM) based on Penman's equation combined with daily atmospheric reanalysis data sets, to improve the validity and frequency of reservoir evaporation monitoring. …”
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Associations between burnout and career disengagement factors among general practitioners: a path analysis by Christos Grigoroglou, Christos Grigoroglou, Mark Hann, Mark Hann, Alexander Hodkinson, Alexander Hodkinson, Salwa S. Zghebi, Evangelos Kontopantelis, Evangelos Kontopantelis, Darren M. Ashcroft, Darren M. Ashcroft, Darren M. Ashcroft, Carolyn A. Chew-Graham, Rupert A. Payne, Paul Little, Simon de Lusignan, Simon de Lusignan, Anli Yue Zhou, Aneez Esmail, Maria Panagioti, Maria Panagioti

“…In addition, improving work–life balance and reducing presenteeism could serve as effective early preventative measures to reduce burnout and job dissatisfaction and, in turn, retain GPs.…”
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Deceleration capacity derived from a five-minute electrocardiogram predicts mortality in the general population by Alexander Steger, Petra Barthel, Alexander Müller, Ina-Maria Rückert-Eheberg, Birgit Linkohr, Julia Allescher, Melanie Maier, Alexander Hapfelmeier, Eimo Martens, Helene Hildegard Heidegger, Arne Michael Müller, Konstantinos D. Rizas, Stefan Kääb, Moritz F. Sinner, Daniel Sinnecker, Karl-Ludwig Laugwitz, Annette Peters, Georg Schmidt

“…Abstract In contemporary healthcare, effective risk stratification in the general population is vital amidst rising chronic disease rates and an ageing demographic. …”
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Feasibility and safety of regadenoson stress perfusion protocol in pediatric transplant patients under general anesthesia by Nikkan Das, Eric L. Vu, Andrada Popescu, Defne Magnetta, Cynthia K. Rigsby, Joshua D. Robinson, Simon Lee, Nazia Husain

“…Regadenoson is a selective cardiac adenosine A2 receptor agonist with fewer side effects than adenosine and a favorable safety profile in older pediatric heart transplant recipients (PHTR). …”
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Peculiarities in Changes of Peroxide Haemolysis of Erythrocytes in Patients with Generalized Periodontitis Combined with Iron Deficiency Anemia by Slaba O.

“…According to the results, a decrease of the resistance of red blood cells to peroxide-induced haemolysis with the increasing of the clinical manifestations of generalized periodontitis was observed in groups of the patients with different degrees of severity of generalized periodontitis without any other additional pathology (index of peroxide haemolysis of erythrocytes with prime generalized periodontitis of the I stage was increased by 1.24 times, with generalized periodontitis of the II stage – by 1.51 times and with generalized periodontitis of the III stage – by 1,66 times comparing to the individuals with intact parodontium (11.22 ± 0.9, p < 0.05)). …”
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Multi-cancer early detection tests for general population screening: a systematic literature review by Ros Wade, Sarah Nevitt, Yiwen Liu, Melissa Harden, Claire Khouja, Gary Raine, Rachel Churchill, Sofia Dias

“…Background General population cancer screening in the United Kingdom is limited to selected cancers. …”
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Improving Sharpness-Aware Minimization Using Label Smoothing and Adaptive Adversarial Cross-Entropy Loss by Tanapat Ratchatorn, Masayuki Tanaka

“…Recent advances in learning algorithms have identified loss surface sharpness as an effective metric for reducing the generalization gap. …”
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A meta-analytic evaluation of the reliability of work-family and family-work conflict scales by Lawrence Ejike Ugwu, Erhabor Sunday Idemudia

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Formation and stability of organic layers around inorganic particles in aqueous media: an introduction to origin of life by Farnaz Jahanbin, Mohammad Khodadadi-Moghaddam, Shahab Bohlooli

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Assessing diagnosis-related groups based direct medical expenditures of chronic disease patients in general hospital of lower southern Thailand by Akemat Wongpairin, Apiradee Lim, Phattrawan Tongkumchum, Wichayaporn Thongpeth, Haris Khurram

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Network connectivity, between-study heterogeneity and timepoint challenges in generalized myasthenia gravis: a feasibility assessment of indirect treatment comparisons by Nils Erik Gilhus, Saiju Jacob, Mahmoud Hashim, Suzy Van Sanden, Christopher Drudge, Anna Nero, Sumeet Singh, Kavita Gandhi, Brian Hutton

“…Conclusion: ITC analyses in gMG have inherent challenges related to imbalanced treatment effect modifiers, network connectivity, varying dosing strategies and assessment timepoints. …”

A novel machine learning based framework for developing composite digital biomarkers of disease progression by Song Zhai, Andy Liaw, Judong Shen, Yuting Xu, Vladimir Svetnik, James J. FitzGerald, James J. FitzGerald, Chrystalina A. Antoniades, Dan Holder, Marissa F. Dockendorf, Jie Ren, Richard Baumgartner

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Multiple Bifurcations and Chaos in a Discrete Prey-Predator System with Generalized Holling III Functional Response by Xia Liu, Yanwei Liu, Qiaoping Li

“…A prey-predator system with the strong Allee effect and generalized Holling type III functional response is presented and discretized. …”
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ESTIMATION OF HETROSIS, GENERAL AND SPECIFIC COMBINING ABILITY USING DIALLEL CROSS IN MAIZE (Zea mays L.) by A. Abas Mohamad

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Designing a cost-effective policy mix for transition toward net-zero emissions: a case study of the mid-term plan by 2035 of Taiwan by Yi-Hua Wu, Tsung-Chen Lee

“…This study explores the design of a cost-effective climate policy mix for transition toward net-zero emissions in the mid-term (by 2035). …”
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Better Together? A Mediation Analysis of French General Practitioners’ Performance in Multi Professional Group Practice by Anna Zaytseva, Pierre Verger, Bruno Ventelou

“…When correcting for self-selection into MGPs, we found no significant mediation effect of enrolment in MGPs on the quantity of care but rather an effect on the quality of care. …”
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ACCOUNTABILITY OF USING BALANCED SCORECARD : PERFORMANCE MEASUREMENT MODEL OF SIDOARJO REGIONAL GENERAL HOSPITAL 2020-2022 by Nufaisa, Diany Natasya Fara Islami

“… Sidoarjo Regional General Hospital (RSUD) is a Regional Public Service Agency. …”
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A NEW APPROACH TO SOLVING GENERAL ANAESTHESIA INDIVIDUALIZATION PROBLEM DURING SURGICAL OPERATIONS WITH CARDIOPULMONARY BYPASS by V. M. Magilevets, V. V. Firsov, V. M. Zaiko, I. A. Kozlov

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A comparison between general linear regression and quantitative robust regression (data for kidney patients as an example) by أسامة عبد العزيز كاظم القريشي, سما سعدي علي الهاشمي

“…The research problem was the presence of outliers in the data of the dependent variable and this leads to the inefficiency of the linear regression model estimated using general linear regression due to the failure to meet the conditions for using Ordinary least squares method (OLS), and thus a lack of confidence in its estimated and predictive accuracy, The aim of the research is to use quantitative robust regression on a sample divided into three quartiles (0.25, 0.50, 0.75) represented by (74) male kidney patients in Al-Kadhimiya Hospital for the period (1/2024-3/2024) and compare it with general linear regression and choose the best model using Comparison standards (Hannan & Quinn, Schwartz Bayesian, Akaike Information), to determine the extent of the effect of independent variables (Diabetes, Hypertension, triglycerides, age) on the increase in blood urea, and the researcher reached the advantage of quantitative robust regression (first quartile and second quartile) compared to general linear regression, While general linear regression appeared better than quantitative robust regression (third quartile), All independent variables have a significant effect on the increase in blood urea levels in all three models. …”
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