bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors of post-stroke depression: Validation of established risk factors and introduction of a dynamic perspective in two longitudinal studies
Authors: Ladwig Simon , Werheid Katja , Südmeyer Martin , Volz Matthias 
Published: February 2023

IntroductionCerebral insults lead in many cases not only to cognitive impairment but also to disturbed emotionality. After stroke, one in three survivors develops a depression which impacts quality of life and rehabilitation. Meta-analyses have identified five main predictors of post-stroke depression (PSD): history of mental disorder, stroke severity, physical disability, cognitive impairment, and social support. However, these five established variables have never been conjointly investigated in a sample of stroke survivors. Therefore, their independent predictive values remain unclear. Moreover, predictors are most often used as time-invariant factors (status scores), neglecting the intraindividual dynamics after stroke.MethodsOur study analyses the data of two prospective longitudinal studies, investigating stroke survivors from two rehabilitation hospitals (N1 = 273) and one acute care hospital (N2 = 226). Baseline assessments included the five established predictors and depressive symptoms. After 6 months, depressive symptoms were reassessed in both studies (n1 = 176, n2 = 183), and physical disability and social support were reassessed in study 2. The predictivity of the five predictors and the additional predictivity of intraindividual dynamics for PSD were examined in multiple linear regression analyses.ResultsHistory of mental disorder was a risk factor for depressive symptoms after stroke at all measurement times (B = 3.32 to 3.97; p &lt; 0.01). Physical disability was a risk factor at all measurement times (B = −0.09 to −0.03; p &lt; 0.05) except 6 months after rehabilitation. Social support was a protective factor (B = −2.69 to −1.91; p &lt; 0.01) outside the acute phase (R2 = 0.15–0.39). Intraindividual changes in physical disability and perceived social support were independent predictors of PSD 6 months after the acute phase (B = −0.08/−0.14; p &lt; 0.01), in addition to status scores on established variables (ΔR2 = 0.08, p &lt; 0.001).DiscussionHistory of mental disorder, physical disability, and social support are independent predictors of depressive symptoms in the first year post-stroke, also when considered conjointly. Future studies should control for these variables when investigating new predictors of PSD. In addition, intraindividual changes in known predictors after stroke play a relevant role in the pathogenesis of PSD and should be considered in clinical practice and future research.
Satisfaction with the life of Polish women experiencing domestic violence
Authors: Pawłowska-Muc Agnieszka Konstancja , Pilewska-Kozak Anna Bogusława , Stadnicka Grażyna , Kęsik Jan Jakub , Dobrowolska Beata 
Published: February 2023

IntroductionDomestic violence against a woman, inflicted by her husband/partner, disrupts the socially recognized model of partnership and family life and endangers the health and life of the victim. The aim of the study was to assess the level of satisfaction with the life of Polish women experiencing domestic violence and compare it to results of women not experiencing domestic violence.MethodsA cross-sectional study was conducted on a convenience sample of 610 Polish women divided in two groups: victims of domestic violence (Group 1, n = 305) and women not experiencing domestic violence (Group 2, n = 305).Results and ConclusionsMost Polish women experiencing domestic violence are characterized by low life satisfaction. The mean value of life satisfaction in Group 1 was 13.78, SD = 4.88, significantly lower when compared to Group 2 (M = 21.04, SD = 5.61). Their satisfaction with life is related, among other things, to the form of violence inflicted upon them by their husband/partner. Abused women with low life satisfaction are most often victims of psychological violence. The most common cause is the perpetrator's addiction to alcohol and/or drugs. Assessment of their life satisfaction is unrelated to help-seeking and to the occurrence of violence in their family home in the past.
Exploring the needs and barriers for death education in China: Getting answers from heart transplant recipients' inner experience of death
Authors: Shu Wan , Miao QunFang , Feng JieHui , Liang GuanMian , Zhang Jing , Zhang Jinsheng 
Published: February 2023

BackgroundPromoting reflection about death may support better living, and how to carry out death education is an important issue to be addressed across the world. The purpose of the current study was to explore the attitude of heart transplant recipients toward death and their inner real experience to provide information for the development of death education strategies.MethodsA phenomenological qualitative study was conducted using a snowball method. A total of 11 patients who had undergone heart transplantation more than 1-year ago were recruited for the current study for semi-structured interviews.ResultsA total of five themes were identified: “Not avoid talking about death,” “Feeling fear about the pain in the process of death”, “Wanting a good death at the end of life,” “The richness of feelings during near-death is surprising,” and “Being close to death makes people more receptive to death.”ConclusionHeart transplant recipients have a positive attitude toward death and wish for “good death” at the end of life. These patients' near-death experiences and positive attitudes toward death during the course of their illness provided evidence of the need for death education in China and supported the experiential approach to death education.
Prevalence and predictors of gender-based violence among Wolkite University female students, southwest Ethiopia, 2021: Cross-sectional study
Authors: Workye Haile , Mekonnen Zebene , Wedaje Wesen , Sitot Aregash 
Published: February 2023

BackgroundGender-based violence is an important topic that needs to be taken into account when identifying gender-related gaps and disadvantages that a person might face because of their gender. Violence against women could result in psychological and physical adverse outcomes. Therefore, this study aims to assess the prevalence and predictors of gender-based violence among female students at Wolkite University, southwest Ethiopia, 2021.MethodAn institutional-based cross-sectional study was conducted among 393 female students and the students were selected by using a systematic sampling method. Data were checked for completeness and entered into EpiData version 3.1 and then exported to SPSS version 23 for further analysis. Binary and multivariable logistic regressions were employed to determine the prevalence and predictors of gender-based violence. The adjusted odds ratio (AOR) with its 95% confidence interval (CI) at a p-value of ≤0.05 was used to check statistical association.ResultIn this study, the overall prevalence of gender-based violence among female students was 46.2%. The prevalence of physical violence and sexual violence was 56.1% and 47.0%, respectively. Factors that were significantly associated with gender-based violence among female university students were: being a 2nd-year student or having a lower educational level [AOR = 2.56 (95% CI, 1.06–6.17)], being married or living with a male partner [AOR = 3.35 (95% CI, 1.07–10.5], having a father with no formal education [AOR = 15.46 (95% CI, 5.204–45.39)], having a drinking habit [AOR = 2.53 (95% CI, 1.21–6.30)] and not being able to freely discuss issues with their families [AOR = 2.48 (95% CI, 1.27–4.84)]Conclusions and recommendationsThe result of this study showed that more than one-third of the participants were exposed to gender-based violence. Thus, gender-based violence is an important topic deserving of more consideration; further investigations are important to decrease gender-based violence among university students.
Problems with modified commutators
Authors: Lake Matthew J. , Watcharapasorn Anucha 
Published: February 2023

The purpose of this paper is to challenge the existing paradigm on which contemporary models of generalised uncertainty relations (GURs) are based, that is, the assumption of modified commutation relations. We review an array of theoretical problems that arise in modified commutator models, including those that have been discussed in depth and others that have received comparatively little attention, or have not been considered at all in the existing literature, with the aim of stimulating discussion on these topics. We then show how an apparently simple assumption can solve, or, more precisely, evade these issues, by generating GURs without modifying the basic form of the canonical Heisenberg algebra. This simplicity is deceptive, however, as the necessary assumption is found to have huge implications for the quantisation of space-time and, therefore, gravity. These include the view that quantum space-time should be considered as a quantum reference frame and, crucially, that the action scale characterising the quantum effects of gravity, β, must be many orders of magnitude smaller than Planck’s constant, β ∼ 10–61 × ℏ, in order to recover the present day dark energy density. We argue that these proposals should be taken seriously, as a potential solution to the pathologies that plague minimum length models based on modified commutators, and that their implications should be explored as thoroughly as those of the existing paradigm, which has dominated research in this area for almost three decades.
Clinicopathological characteristics of early gastric cancer with different level of undifferentiated component and nomogram to predict lymph node metastasis
Authors: Li Chenyu , Xie Suling , Chen Dan , Zhang Jingwen , Zhang Ning , Mu Jinchao , Gong Aixia 
Published: February 2023

BackgroundFew studies showed that mixed type early gastric cancer (EGC) relates to higher risk of lymph node metastasis. We aimed to explore the clinicopathological feature of GC according to different proportions of undifferentiated components (PUC) and develop a nomogram to predict status of lymph node metastasis (LNM) in EGC lesions.MethodsClinicopathological data of the 4,375 patients who underwent surgically resection for gastric cancer in our center were retrospectively evaluated and finally 626 cases were included. We classified mixed type lesions into five groups (M1:0% &lt; PUC ≤ 20%, M2:20%&lt;PUC ≤ 40%, M3:40%&lt;PUC ≤ 60%, M4:60%&lt;PUC ≤ 80%, M5:80%&lt;PUC &lt; 100%). Lesions with 0% PUC were classified as pure differentiated group (PD) and lesions with 100% PUC were classified as pure undifferentiated group (PUD).ResultsCompared with PD, LNM rate was higher in group M4 and group M5 (p &lt; 0.05 after Bonferroni correction). Differences of tumor size, presence of lymphovascular invasion (LVI), perineural invasion and invasion depth also exist between groups. No statistical difference of LNM rate was found in cases who met the absolute endoscopic submucosal dissection (ESD) indications for EGC patients. Multivariate analysis revealed that tumor size over 2 cm, submucosa invasion to SM2, presence of LVI and PUC level M4 significantly predicted LNM in EGC. With the AUC of 0.899(P &lt; 0.05), the nomogram exhibited a good discrimination. Internal validation by Hosmer–Lemeshow test showed a good fitting effect in model (P &gt; 0.05).ConclusionPUC level should be considered as one of the predicting risk factors of LNM in EGC. A nomogram that predicts the risk of LNM in EGC was developed.
A Data-Driven Preprocessing Framework for Atrial Fibrillation Intracardiac Electrocardiogram Analysis
Authors: Kong Xiangzhen , Ravikumar Vasanth , Mulpuru Siva K. , Roukoz Henri , Tolkacheva Elena G. 
Published: February 2023

Atrial Fibrillation (AF) is the most common cardiac arrhythmia. Signal-processing approaches are widely used for the analysis of intracardiac electrograms (iEGMs), which are collected during catheter ablation from patients with AF. In order to identify possible targets for ablation therapy, dominant frequency (DF) is widely used and incorporated in electroanatomical mapping systems. Recently, a more robust measure, multiscale frequency (MSF), for iEGM data analysis was adopted and validated. However, before completing any iEGM analysis, a suitable bandpass (BP) filter must be applied to remove noise. Currently, no clear guidelines for BP filter characteristics exist. The lower bound of the BP filter is usually set to 3–5 Hz, while the upper bound (BP¯th) of the BP filter varies from 15 Hz to 50 Hz according to many researchers. This large range of BP¯th subsequently affects the efficiency of further analysis. In this paper, we aimed to develop a data-driven preprocessing framework for iEGM analysis, and validate it based on DF and MSF techniques. To achieve this goal, we optimized the BP¯th using a data-driven approach (DBSCAN clustering) and demonstrated the effects of different BP¯th on subsequent DF and MSF analysis of clinically recorded iEGMs from patients with AF. Our results demonstrated that our preprocessing framework with BP¯th = 15 Hz has the best performance in terms of the highest Dunn index. We further demonstrated that the removal of noisy and contact-loss leads is necessary for performing correct data iEGMs data analysis.
Sol-Gel Dipping Devices for H2S Visualization
Authors: Strianese Maria , Ferrara Giovanni , Vykhovanets Viktoriia , Blal Naym , Guarnieri Daniela , Landi Alessandro , Lamberti Marina , Peluso Andrea , Pellecchia Claudio 
Published: February 2023

In this contribution we report the synthesis and full characterization, via a combination of different spectroscopies (e.g., 1H NMR, UV-vis, fluorescence, MALDI), of a new family of fluorescent zinc complexes with extended π-conjugated systems, with the final aim of setting up higher performance H2S sensing devices. Immobilization of the systems into a polymeric matrix for use in a solid-state portable device was also explored. The results provided proof-of-principle that the title complexes could be successfully implemented in a fast, simple and cost-effective H2S sensing device.
Detection of Background Water Leaks Using a High-Resolution Dyadic Transform
Authors: Trutié-Carrero Eduardo , Seuret-Jiménez Diego , Nieto-Jalil José M. , Herrera-Díaz Julio C. , Cantó Jorge , Escobedo-Alatorre J. Jesús 
Published: February 2023

This article solves the problem of detecting water leaks with a minimum size of down to 1 mm in diameter. Two new mathematical tools are used to solve this problem: the first one is the Te cross-spectral density and the second is Te coherence. These mathematical tools provide the possibility of discriminating spurious frequency components, making use of the property of multi-sensitivity. This advantage makes it possible to maximize the sensitivity of the frequency spectrum. The wavelet function used was Daubechies 45, because it provides an attenuation of 150 dB in the rejection band. The tools were validated with two scenarios. For the first scenario, a synthetic signal was analyzed. In the second scenario, two types of background leakage were analyzed: the first one has a diameter of 1 mm with a signal-to-noise ratio of 2.82 dB and flow rate of 33.7 mL/s, and the second one has a diameter of 4 mm with a signal-to-noise ratio of 9.73 dB with a flow rate of 125.0 mL/s. The results reported in this paper show that both the Te cross-spectral density and Te coherence are higher than those reported in scientific literature.
Analysis and Modeling of the Impact of Macroeconomic Factors on the Commissioning of Residential Real Estate in Russia
Authors: Zvezdina N. V. , Saraev A. V. 
Published: February 2023

The system of statistical indicators, which is necessary for the construction of mathematical and statistical models that reflect modern domestic trends in the development of the residential real estate market is explained. The official data from the Federal State Statistics Service (Rosstat), the Unified Interdepartmental Information and Statistical System (EMISS), the Central Bank of the Russian Federation (CBR), and the Unified Housing Construction Information System (UIIS) served as information sources for the empirical component of the study.Based on quarterly data for 2010–2021 using ARIMA and SARIMA models, a time series of residential real estate commissions in the Russian Federation was modeled and predicted for 2022. Both models make it possible to account for the influence of the seasonal component. Based on results of the time series regression analysis, the authors selected a mathematical and statistical model with the best approximating characteristics. To model the volume of commissioning of residential real estate in the Russian market, with due regard to the influence of macroeconomic factors, the ARMAX model was used, which has significant explanatory power.The results of the study presented in the article may be of interest to analytical agencies, developers, banking professionals, financiers, economists, analysts of the real estate market or related areas, as well as authorities for strategic planning of the development of the real estate market.
Economic Determinants of Mortality from Cardiovascular Diseases in Russian Regions
Authors: Kossova T. V. 
Published: February 2023

This article aims to investigate economic factors that determine the mortality rate from cardiovascular diseases in Russian regions. Independent variables are socio-economic factors, including the level of well-being, characteristics of the health care system in the region, level of alcohol consumption as a characteristic of the lifestyle of the population, as well as the directions of state policy for prevention and treatment of cardiovascular diseases, and alcohol and tobacco control initiatives. These factors are the focus of several social programs currently being implemented in Russia. The objective of this study is to identify the degree of sensitivity of the mortality rate from circulatory system diseases to changes in each of the factors considered. This will help to guide public policies aimed at improving population health.The empirical component of the study is based on the data from the Federal State Statistics Service of Russia (for the period from 2005 to 2019), as well as regional budgets and territorial compulsory health insurance funds. Panel data model with fixed effects was evaluated, and the elasticity of mortality from circulatory system diseases to changes in the formed set of factors. The paper shows that an increase in health care costs leads to a decrease in mortality from circulatory system diseases. With that, the sensitivity of this indicator to a one percent change in factors of well-being and lifestyle, including the volume of alcohol consumption, is higher than the sensitivity to a one percent change in health care expenditures. The article revealed the presence of a statistically significant relationship between changes in the legislation, which led to a significant increase in the availability of expensive medical care, and a decrease in mortality from circulatory system diseases. The findings are relevant for those reforming the health care system and can serve as a guideline for developing parameters of government healthcare programs.
Statistical Analysis of Critical Socioeconomic Factors in the Development of COVID-19 Disease
Authors: Ponomarenko S. V. 
Published: February 2023

The study aimed to analyze the impact of several economic and social factors on the course of the COVID-19 pandemic by comparing statistical data in large and representative samples and to assess the critical factors influencing the development of the infectious process of the SARS-CoV-2 virus.To create this review, the necessary publications were found on the Internet for the selected keywords both in one tag and different tag combinations. Statistics of economic and social factors were based on data available on the Internet. The Pearson correlation coefficient (r) to determine the statistical relationship was used.The relationship between economic or social factors and the impact of the 15-month COVID-19 pandemic in different regions was investigated using various available statistics for five continents and 52 countries for the first time. A positive relationship between the consequences of viral epidemic and GDP per capita or the type of human diet was found with correlation coefficients in the range of 0.42–0.87. The development of the viral epidemic showed a less clear correlation with population density from r = -0.18 to r = -0.28, depending on the selected group of countries. For island nations, geographic isolation was the dominant defense against SARS-CoV-2 infection.The comparison of the development of COVID-19 according to statistical data in different regions and the study of economic or social aspects, performed on large representative samples, showed that the productive infection and pathogenicity of SARS-CoV-2 increased with a high standard of living and excessive consumption of staple foods. In countries with low GDP and adequate protein or fat intake, the rates of SARS-CoV-2 infection, and death did not exceed the minimum epidemic threshold. The study of the influence of consumed macronutrients on the dynamics of the infectious cycle of the SARS-CoV-2 virus will help explain the reason for such resistance to the pathogen. Such a study would require further comparative analysis of COVID-19 pandemic statistics.
Preparedness of Public Health Care System in India- A Case Study
Authors: Chitra M , Pradeepan S 
Published: February 2023

Objectives: To examine the availability and accessibility of primary health care system in Tamil Nadu and to examine the achievements of primary health care system in Tamil Nadu.Methods: Both secondary and primary data were used. Secondary data were from Tamil Nadu Health and Family Welfare department and Rural Health Statistics of India. Primary data were collected from Theni District. Sample size was 480. Identified respondents were interviewed for to find the reason for using the primary health care system with an interview schedule. The tools applied were simple as annual growth rate, Compound growth rate, and Garret ranking method.Findings: Sub Centre (SC), Primary Health Centre (PHC) and Community Health Centre (CHC) are the mode of serving of primary health care system as three tier to rural and urban people which satisfies their basic needs near their proximities. Tamil Nadu is leading and extending its services to people year by year since its inception and earmarked its service. The Zero priced health care services and medicine are the prime reasons for demanding primary health care system which was a signal and added value for the dynamic nature of primary health care system. Distance and waiting time are the last items in ranking means that people are willing to travel. The compound annual growth rate of out-patients was negative from 2011 to 2021 as -1.45, the calculated statistical number may be the due to reduced accessing of outpatient in 2021 due to Covid-19. The Compound annual growth rate of deliveries in Tamil nadu was -11.41 percentages which reflected a reduction in accessing the health care services for deliveries by secondary sources. Novelty: Planners and Policy maker’s needs for revisiting and reframing the health policy and target to achieve 2030.