bluuebunny/crossref_metadata_2025_split huggingface dataset:
Geometrical model establishment and preoperative evaluation on A-T flap design: Finite element method-based computer-aided simulation on surgical operation processes
Authors: Zhao Yan , Yang Zonglin , Chen Lifen , Peng Yuhui 
Published: October 2022

ObjectiveA-T flap has been extensively applied to repair dermal soft tissue defects. The flap design completely depends on the experience of doctors. Herein, we explored the approach of analyzing the reasonability of A-T flap design and performed a simulation of operation processes by computer-aided technology. Afterward, the finite element analysis software (MSC.Marc/Mentat) was used to establish the simulation model, based on which the computer simulation of flap suturing and release state in A-T flap surgery was performed.MethodsA geometrical model of the A-T flap was established, and the length-width ratio of the flap, maximum suture distance, and suture area that could influence the postoperative suture effects of the flap were analyzed. The reasonable surgical planning for A-T flap design based on the crossing constraint relationship was achieved. The simulation model was established by the finite element analysis software (MSC.Marc/Mentat), based on which computer simulation of flap suture and release state of A-T flap in surgery processes were performed. The flap’s stress and deformation distribution results confirmed the applicability of the A-T flap design method proposed in the present study.ResultsWhen the apex angle of the A-T flap was 60 degrees, the suture area was the smallest, and the flap design had the highest practicability.ConclusionComputer-assisted preoperative assessment, which has high clinical value, could provide a theoretical basis for A-T flap design in clinical practice.
Road Traffic Noise, Obesity, and the Risk of Incident Type 2 Diabetes: A Cohort Study in UK Biobank
Authors: Zuo Lei , Chen Xia , Liu Mingliang , Chen Li , Xu Wenbin , Chen Haiyan , Dong Shan , Wei Yuan , Li Liangming , Peng Shuang , Hao Guang 
Published: October 2022

Objectives: To assess the association of road traffic noise exposure with Type 2 Diabetes (T2D) risk, and to explore the potential moderation effect of obesity.Methods: A total of 305,969 participants from the UK Biobank Cohort - an open access cohort of 500,000 participants recruited in the United Kingdom (UK) between 2006 and 2010 - were included in the study. A Cox proportional hazard model was fitted to assess the association between road traffic noise exposure and T2D.Results: A total of 19,303 participants were diagnosed with T2D during the 11.9-year median follow-up period. For every 10 dB increase in road traffic noise, there was a 4% increase in T2D risk (HR = 1.04, 95%CI: 1.01, 1.07). Besides, a significant positive interaction was observed between obesity and road traffic noise (P interaction &lt;0.001) for the risk of T2D. The association of road traffic noise with T2D was stronger in overweight and obese participants (HR = 1.04, 95% CI: 1.01–1.08), but not significant among lean ones (HR = 0.96, 95% CI: 0.86–1.07).Conclusion: Our study observed a longitudinal association of road traffic noise exposure with T2D risk, which was stronger among overweight and obese individuals than the lean ones.
The Role of Supervisory Board Heterogeneity on Corporate Irregularity: New Insights and Management Opportunities
Authors: Chen Yang , Xu Jian 
Published: October 2022

By structural equation modeling (SEM), this paper analyzes and explores the four Potential Characteristics of the supervisory board. They are: Individual Heterogeneity of the Supervisory Member (Internal Heterogeneity), Organization Size of the Supervisory Board (Organization Size), Structural Characteristics of the Supervisory Board (Structural Characteristics) and Identity Background of the Supervisory Board (Identity Background). Then, it constructs a path analysis and theoretical model of the influence of supervisory board heterogeneity on corporate irregularities, and verifies each influencing factor and observation index. The results show that individual factor Professional heterogeneity is the most effective indicator of Internal Heterogeneity, but such Internal Heterogeneity has a very limited effect on the occurrence of corporate irregularities. Organization Size has a significant impact on corporate misbehavior, and Number of people is an important factor in constructing Organization Size, yet the frequency of staff Turnover is not significant. Although the Average Age, Party Member Ratio, and Female Ratio can well conceptualize the Structural Characteristics, their effects on supervision performance are not obvious. Identity Background, including factors such as Average Education, Government/University Experience, or External Supervisors, does not improve supervisory performance and reduce the occurrence of irregularities. The above findings provide a foundation for further analysis and integration of multiple heterogeneous factors, as well as further study of the “combined effectiveness” of the supervisory board, and deeper investigation of the actual impact of the supervisory board on irregularities.
Developing a Data-Fused Water Quality Index Based on Artificial Intelligence Models to Mitigate Conflicts between GQI and GWQI
Authors: Nadiri Ata Allah , Barzegar Rahim , Sadeghfam Sina , Rostami Ali Asghar 
Published: October 2022

The study of groundwater quality is typically conducted using water quality indices such as the Groundwater Quality Index (GQI) or the GroundWater Quality Index (GWQI). The indices are calculated using field data and a scoring system that uses ratios of the constituents to the prescribed standards and weights based on each constituent’s relative importance. The results obtained by this procedure suffer from inherent subjectivity, and consequently may have some conflicts between different water quality indices. An innovative feature drives this research to mitigate the conflicts in the results of GQI and GWQI by using the predictive power of artificial intelligence (AI) models and the integration of multiple water quality indicators into one representative index using the concept of data fusion through the catastrophe theory. This study employed a two-level AI modeling strategy. In Level 1, three indices were calculated: GQI, GWQI, and a data-fusion index based on four pollutants including manganese (Mn), arsenic (As), lead (Pb), and iron (Fe). Further data fusion was applied at Level 2 using supervised learning methods, including Mamdani fuzzy logic (MFL), support vector machine (SVM), artificial neural network (ANN), and random forest (RF), with calculated GQI and GWQI indices at Level 1 as inputs, and data-fused indices target values derived from Level 1 fusion as targets. We applied these methods to the Gulfepe-Zarinabad subbasin in northwest Iran. The results show that all AI models performed reasonably well, and the difference between models was negligible based on the root mean square errors (RMSE), and the coefficient of determination (r2) metrics. RF (r2 = 0.995 and RMSE = 0.006 in the test phase) and MFL (r = 0.921 and RMSE = 0.022 in the test phase) had the best and worst performances, respectively. The results indicate that AI models mitigate the conflicts between GQI and GWQI results. The method presented in this study can also be applied to modeling other aquifers.
Analisis Pengaruh Pertumbuhan Ekonomi, Index Pembangunan Manusia (IPM) dan Pengangguran Terhadap Tingkat Kemiskinan Di Indonesia Tahun 2000-2017
Authors: Budhijana R. Bambang 
Published: October 2022

Indonesia is a country that is still classified as a developing country, and poverty is a problem that is the center of attention. The problem of poverty can be seen from the factors that influence it. These factors in-clude slow economic growth, low human development index, and increasing unemployment. So, this study aims to determine the effects of the factors mentioned above. This study uses a quantitative approach. The data used in the form of secondary data in Indonesia from 2000 to 2017. Data analysis techniques in this study using multiple linear regression analysis. The results showed that: (1) Economic Growth Variable had no significant negative effect on Poverty Rate in Indonesia. (2) Human Development Variable Index has a significant negative effect on Poverty Rate in Indonesia. (3) Unemployment Variable has a signifi-cant positive effect on Poverty Rate in Indonesia. Indonesia adalah negara yang masih diklasifikasikan sebagai negara berkembang, dan kemiskinan adalah masalah yang menjadi pusat perhatian. Masalah kemiskinan dapat dilihat dari faktor-faktor yang mempengaruhinya. Faktor-faktor ini termasuk pertumbuhan ekonomi yang lambat, indeks pembangunan manusia yang rendah, dan meningkatnya pengangguran. Jadi, penelitian ini bertujuan untuk mengetahui efek dari faktor-faktor yang disebutkan di atas. Penelitian ini menggunakan pendekatan kuantitatif. Data yang digunakan berupa data sekunder di Indonesia dari tahun 2000 hingga 2017. Teknik analisis data da-lam penelitian ini menggunakan analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa: (1) Variabel Pertumbuhan Ekonomi tidak berpengaruh negatif signifikan terhadap Tingkat Kemiskinan di In-donesia. (2) Indeks Variabel Pembangunan Manusia memiliki pengaruh negatif yang signifikan terhadap Tingkat Kemiskinan di Indonesia. (3) Variabel Pengangguran memiliki pengaruh positif signifikan ter-hadap Tingkat Kemiskinan di Indonesia.
SIMULATION OF OPERATION OF A ROAD STRUCTURE WITH A LAYER OF REINFORCED MATERIAL
Authors: Козлов В. А. , Волков В. В. , Борисов А. Е. 
Published: October 2022

Предлагается при расчете напряженно-деформированного состояния дорожной одежды, состоящей из асфальтобетонного и грунтобетонного низлежащего слоя учитывать работу обработанных гранул основания. Это позволяет учитывать влияние толщины пленки вяжущего на гранулах смеси на напряженно-деформируемое состояние сформированного слоя при замерзании-оттаивании воды в порах. В данной статье рассмотрена физическая модель возникновения приращения поры при замерзании воды в ней и возникновения усилий между гранулами, покрытыми органическим вяжущим при различных размерах пор. Получено, что оптимальная толщина пленки стандартного вяжущего составляет 50-150 мкм при условиях стандартного фракционного состава. Уменьшение зазоров между частицами грунтобетонной смеси снижает количество накопленной воды, но одновременно увеличивает внутренние напряжения внутри материала при замораживании. Наличие пленки полимерного вяжущего на гранулах снижает внутренние напряжения в структуре материала. Показано, что прочность слоя уменьшается при положительном градиенте температур фазового состояния льда в порах слоя (таянии).
It is proposed to take into account the work of the treated granules of the base when calculating the stress-strain state of the pavement consisting of asphalt concrete and ground concrete of the underlying layer. This allows us to take into account the effect of the thickness of the binder film on the granules of the mixture on the stress-strain state of the formed layer during freezing-thawing of water in the pores. This article considers a physical model of the occurrence of pore increment when water freezes in it and the occurrence of forces between granules coated with organic binder at different pore sizes. It is found that the optimal film thickness of a standard binder is 50-150 microns under the conditions of a standard fractional composition. Reducing the gaps between the particles of the soil-concrete mixture reduces the amount of accumulated water, but at the same time increases the amount of internal stresses inside the material during freezing. The presence of a polymer binder film on the granules reduces internal stresses in the structure of the material. It is shown that the strength of the layer decreases with a positive temperature gradient of the phase state of ice in the pores of the layer (melting).
FORMULAS FOR CALCULATION OF DEFORMATIONS OF A MULTI-SPAN TRUSS
Authors: Кирсанов М. Н. 
Published: October 2022

Прогибы многопролетной плоской статически определимой фермы с произвольным числом пролетов определяются в аналитической форме. Крайние опоры конструкции являются неподвижными шарнирами, средние - подвижными. Обнаруживается мгновенная изменяемость конструкции при четном числе пролетов. Для подтверждения этой особенности фермы находится соответствующая схема виртуальных скоростей узлов. Для определения прогиба используется формула Максвелла-Мора. Усилия в стержнях и реакции опор рассчитываются методом вырезания узлов в символьной форме с применением операторов системы символьной математики Maple. Приводятся аналитические зависимости усилий в некоторых стержнях, наиболее опасных с точки зрения потери устойчивости или прочности. Дается диаграмма распределения усилий по стержням фермы. Серия решений задачи о прогибе для ферм с различным числом пролетов обобщается на произвольное число пролетов индуктивным методом.
Deflections of a multi-span planar statically determined truss with an arbitrary number of spans are determined in an analytical form. The extreme supports of the structure are fixed hinges, the middle ones are movable. An instantaneous variability of the structure is found for an even number of spans. To confirm this feature of the truss, a corresponding scheme of virtual node speeds is found. To determine the deflection, the Maxwell - Mohr formula is used. The forces in the bars and the reactions of the supports are calculated by cutting out the nodes in symbolic form using the operators of the Maple symbolic mathematics system. Analytical dependences of forces in some rods, the most dangerous in terms of buckling or strength loss, are given. A diagram of the distribution of forces on the truss rods is given. A series of solutions to the deflection problem for trusses with different numbers of spans is generalized to an arbitrary number of spans by the inductive method.
DEFENSA DEL CONTRIBUYENTE ANTE LAS AUTORIDADES FISCALES EN MÉXICO
Authors: GRAJEDA GRAJEDA REBECA PATRICIA , Andrade Paco Josefina , Huerta Urquijo Beatriz E. 
Published: October 2022

Este artículo aborda el tema de la defensa fiscal del contribuyente. Tiene como objetivo la descripción de las herramientas contenidas en leyes ordinarias, cuyo propósito es brindar a los ciudadanos el acceso expedito y total a la solución de controversias originadas en su interacción con las autoridades fiscales. Es una investigación documental, descriptiva, sobre los recursos administrativos y los medios jurisdiccionales de defensa interpuestos ante actos arbitrarios de las autoridades fiscales, así como los resultados obtenidos por el Servicio de Administración Tributaria en los juicios interpuestos en su contra desde 2013 hasta el primer semestre de 2021, concluyéndose que, la mayoría de los errores cometidos por la autoridad y que le llevan a perder estos juicios, tienen relación con deficiencias de forma y fondo, por ejemplo: deficiencias en la notificación de los créditos fiscales, en la motivación, en la interpretación y en la redacción de las actas, entre otros motivos.
Induction of spatial anxiety in a virtual navigation environment
Authors: Oliver Alice , Wildschut Tim , Parker Matthew O. , Wood Antony P. , Redhead Edward S. 
Published: October 2022

AbstractSpatial anxiety (i.e., feelings of apprehension and fear about navigating everyday environments) can adversely impact people’s ability to reach desired locations and explore unfamiliar places. Prior research has either assessed spatial anxiety as an individual-difference variable or measured it as an outcome, but there are currently no experimental inductions to investigate its causal effects. To address this lacuna, we developed a novel protocol for inducing spatial anxiety within a virtual environment. Participants first learnt a route using directional arrows. Next, we removed the directional arrows and randomly assigned participants to navigate either the same route (n = 22; control condition) or a variation of this route in which we surreptitiously introduced unfamiliar paths and landmarks (n = 22; spatial-anxiety condition). The manipulation successfully induced transient (i.e., state-level) spatial anxiety and task stress but did not significantly reduce task enjoyment. Our findings lay the foundation for an experimental paradigm that will facilitate future work on the causal effects of spatial anxiety in navigational contexts. The experimental task is freely available via the Open Science Framework (https://osf.io/uq4v7/).
Pengaruh Pemberian Kompres Hangat Terhadap Penurunan Derajat Dismenore Pada Siswi Mas Ushuluddin Kota Singkawang
Authors: Martinus Sihombing Ferry Daniel , Gunawan Dahlan , Permata Putri Mutiara 
Published: October 2022

Background:Dysmenorrhea is a gynecological problem defined as cramping pain in the lower abdomen that occurs during menstruation. Management of dysmenorrhea can use non-pharmacological therapy such as warm compresses. Warm compresses can cause blood vessel dilation (vasodilation) so that it can increase blood circulation, relieve ischemia in myometrial cells, decrease myometrial smooth muscle contraction, increase muscle relaxation and reduce pain due to spasm or stiffness. Methods: This research is a quantitative research. This research method is pre-experimental with one group pretest-posttest design. The sampling technique is purposive sampling. The sample in this study were 74 students who experienced dysmenorrhea in January 2022. Data was collected using the Numeric Rating Scale (NRS) dysmenorrhea pain scale observation sheet before (pretest) and after (posttest) warm compresses were given. Data were analyzed using the Wilcoxon Signed Rank Test. Results: After the Wilcoxon Signed Rank Test, the results showed a p-value of 0.000. The p value is smaller than the significant value or Sig. (2-tailed), which is 0.05(p < 0.05) so that H0 is rejected, and Ha is accepted. Conclusion:Based on the results of this study, it can be concluded that there is an effect of giving warm compresses to the decrease in the degree of dysmenorrhea in students of MAS Ushuluddin Singkawang City in 2022.
Intravenous contrast induced acute kidney injury prevention with high doses of statins
Authors: Vasin A. A. , Mironova O. Iu. , Fomin V. V. 
Published: October 2022

Aim. The aim of our study was to assess the frequency of contrast-induced acute kidney injury (CI-AKI) in patients undergoing computed tomography (CT) with intravenous contrast media and to evaluate the effects of statins in the prevention of CI-AKI. Materials and methods. 181 patients undergoing CT with intravenous contrast media administration were included in prospective observational study (ClinicalTrials.gov ID NCT04666389). The primary endpoint was CI-AKI according to KDIGO criteria (the 25 % rise (or 0,5 mg/dl) of serum creatinine from baseline assessed 48–72 hours after administration of contrast media). There were 120 patients in the group with high dose of statins administration and 60 patients without statin treatment. The most frequent cardiovascular disease was hypertension in both groups — 93 % and 85 % respectively. Results. CI-AKI was diagnosed in 12 (6,7 %) patients — 9 patients in the no statins group and 3 patients in the statins group. The high dose statin administration statistically significant had less frequency of CI-AKI (p = 0,003) compare with no statins group (OR = 0,144, 95 %CI: 0,037–0,554). Conclusion. Statin pretreatment is effective at preventing CI-AKI and should be considered in high-risk patients.
Features of the manifestation of arterial hypertension in patients with a new coronavirus infection
Authors: Solnceva T. D. , Lachugin A. A. , Sivakova O. A. , Chazova I. E. 
Published: October 2022

The purpose. Assessment of the presence of the cardiovascular risk factors, associated clinical conditions, the degree of target organ damage in patients with arterial hypertension depending on the new coronavirus infection. Material and methods. In a retrospective cohort study 284 patients with arterial hypertension were identified, 162 of them had a novel coronavirus infection and 122 patients didn’t have a history of a new coronavirus infection. Patients who had a new coronavirus infection were divided into groups depending on the disease. Inclusion criteria were the presence of arterial hypertension in history and taking antihypertensive therapy. Results. Patients with hypertension who’ve had a new coronavirus infection are more likely to have risk factors such as smoking, overweight, early menopause as opposed to patients with hypertension without indication of past COVID-19. Comparing patients with increased severity of the novel coronavirus infection elevated uric acid levels and hypercholesterolemia were associated with more severe COVID-19 (p < 0.05). Patients with chronic kidney disease, cerebrovascular disease, detection of atherosclerotic lesions of the brachiocephalic arteries and diabetes mellitus have an increased probability of deaths occur from the novel coronavirus infection (p < 0.05). There was no significant difference between the compared groups of coronary heart disease, atrial fibrillation, chronic heart failure and also the daily blood pressure profile and a severe course of COVID-19. Сonclusion. The presence of diabetes mellitus, cerebrovascular disease, chronic kidney disease, detection of atherosclerotic lesions of the brachiocephalic arteries, and also hyperuricemia or hypercholesterolemia in patients with hypertension revealed a risk of severe coronavirus infection.
Informing the Cataclysmic Variable Sequence from Gaia Data: The Orbital-period–Color–Absolute-magnitude Relationship
Authors: Abrahams Ellianna S. , Bloom Joshua S. , Szkody Paula , Rix Hans-Walter , Mowlavi Nami 
Published: October 2022

Abstract
The orbital-period (P
orb) gap in the population of cataclysmic variables (CVs) informs the theoretical narrative of CV evolution, yet a complete understanding of the driving angular momentum loss mechanisms above and below this gap remains elusive. Here we identify, for standard CVs, a new, apparently monotonic relationship between quiescent color (G
BP–G
RP), absolute magnitude (M

G
), and P
orb (between 70 minutes and 8 hr) revealed in Gaia DR2 and EDR3. We show that P
orb increases in the color–absolute-magnitude diagram roughly orthogonally to the white dwarf and main sequences. We find the orbital-period–color–absolute-magnitude relationship to be stable across different CV subtypes: dwarf novae, intermediate polars, polars, and novalike systems. We place our findings in context with the known semiempirical donor sequence for CVs and find a dependence between color and M

G
for a given P
orb specifically for dwarf novae and intermediate polars above the period gap. These relations have the potential to inform a more complete picture of CV evolution.