bluuebunny/crossref_metadata_2025 huggingface dataset:
Atorvastatin promotes pro/anti-inflammatory phenotypic transformation of microglia via Wnt/β-catenin pathway in hypoxic-ischemic neonatal rats
Authors: Yu Luting , Huang Lingyi , Yuanyuan Zhao , Liu Shixi , Zhou Ruixi , Yue Yan , Sun Hao , Su Xiaojuan , Liu Qian , Li Shiping , Ying Junjie , Zhao Fengyan , Qu Yi
Published: February 2023

Background
Inflammatory reaction plays a key role in the pathogenesis of hypoxic-ischemic encephalopathy (HIE) in neonates. Microglia are resident innate immune cells in the central nervous system and are profoundly involved in neuroinflammation. Studies have revealed that atorvastatin exerts a neuroprotective effect by regulating neuroinflammation in adult animal models of brain stroke and traumatic brain injury, but its role regarding damage to the developing brain remains unclear. This study aimed to clarify the effect and mechanism of atorvastatin on the regulation of microglia function in neonatal hypoxic-ischemic brain damage (HIBD).
Methods
The oxygen glucose deprivation (OGD) of microglia and neonatal rat HIBD model were established. Atorvastatin, recombinant sclerostinprotein (SOST), and XAV939 (degradation of β-catenin) were administered to OGD microglia and HIBD rats. The pathological changes of brain tissue, cerebral infarction volume, learning and memory ability of rats, pro-inflammatory (CD16+/Iba1+) and anti-inflammatory (CD206+/Iba1+) microglia markers, inflammation-related indicators (Inos, Tnfα, Il6, Arg1, Tgfb, and Mrc1), and Wnt/β-catenin signaling molecules were examined.
Results
Atorvastatin reduced OGD-induced pro-inflammatory microglia and pro-inflammatory factors, while increasing anti-inflammatory microgliaand anti-inflammatory factors. In vivo, atorvastatin attenuated hypoxia-ischemia (HI)-induced neuroinflammation and brain damage. Mechanistically, atorvastatin decreased SOST expression and activatedthe Wnt/β-catenin signaling pathway, and the administration of recombinant SOST protein or XAV939 inhibited Wnt/β-catenin signaling and attenuated the anti-inflammatory effect of atorvastatin.
Conclusions
Atorvastatin promotes the pro-/anti-inflammatory phenotypic transformation of microglia via the Wnt/β-catenin pathway in HI neonatal rats. Atorvastatin may be developed as a potent agent for the treatment of HIE in neonates.
Specialist medical centres for the homeless in Hamburg - diagnoses and reasons for treatment compared to general practice system (regular care system)
Authors: Leeden Carolin van der , Kaduszkiewicz Hanna , Boczor Sigrid , Lohmann Benjamin , Kloppe Thomas , Mallon Tina , Rakebrandt Anja , Scherer Martin
Published: February 2023

Background:
Homeless people in Germany are generally entitled to health care within the regular care system. However, due to their specific living conditions, they make little use of these services. In 2013, three specialist medical centres for the homeless (MCH) were opened in Hamburg to provide general health care. The aim of this abstract is to offer an overview of the specific health conditions and health care needs prevalent among the homeless and to discuss whether it is possible to link these patients up with the regular health care system.
Methods:
Medical data from 840 homeless patients as well as from a total of 1,982 consultations was obtained from 2013 until the end of 2014. In addition, the study evaluated data obtained in a questionnaire on the use of the regular health care system. Health insurance status and diagnosis were routinely documented and categorised using ICD 10 and ICPC-2. Subsequently, the diagnoses and reasons for consultations of homeless patients were compared with data from general practices (GP). Questionnaires on the use of the regular health care system were also evaluated.
Results:
The most frequent reasons for consultations in the first year were skin conditions (24%), musculoskeletal conditions (16%) and psychological disorders (14%). By comparison, the most frequent reasons for consultations in a general practice were musculoskeletal conditions (22%), conditions affecting the digestive system (14%) and skin conditions (12%). 35% of the homeless patients mentioned a lack of health insurance as the reason for “not making use of” the regular health care system, while ten percent reported that they were unable to visit a GP due to physical or psychological reasons. The longitudinal analysis over six years (2015–2020) showed that 53% of the patients attending the medical centre for the homeless had no medical insurance.
Conclusion:
The MCH mainly sees patients with medical conditions typical for the homeless cohort, namely skin diseases, wounds and injuries and behavioural disorders due to alcohol abuse. Health care for homeless patients is time-consuming and expensive. Chronic diseases that are equally present in general practice and specialist medical centres, such as diabetes mellitus, pose a great challenge. The lack of health insurance poses the greatest hurdle to the integration of the homeless into the regular health care system.
Cluster headache and kynurenines
Authors: Tuka Bernadett , Körtési Tamás , Nánási Nikolett , Tömösi Ferenc , Janáky Tamás , Veréb Dániel , Szok Délia , Tajti János , Vécsei László
Published: February 2023

Background:The glutamatergic neurotransmission has important role in the pathomechanism of primary headache disorders. The kynurenine metabolites derived from catabolism of tryptophan (Trp) have significant involvement not only in glutamatergic processes, but also in the neuroinflammation, the oxidative stress and the mitochondrial dysfunctions. Previously we identified a depressedperipheral Trp metabolism in interictal period of episodic migraineurs, which prompted us to examine this pathway in patients with episodic cluster headache (CH) as well. Our aims were to compare the concentrations of compounds both in headache-free and attack periods, and to find correlations between Trp metabolism and the clinical features of CH. Levels of 11 molecules were determined in peripheral blood plasma of healthy controls (n = 22) and interbout/ictal periods of CH patients (n = 24) by neurochemical measurements.Findings:Significantly decreased L-kynurenine (KYN, p < 0.01), while increased quinolinic acid (QUINA, p < 0.005) plasma concentrations were detected in the interbout period of CH patients compared to healthy subjects. The levels of KYN are further reduced during the ictal period compared to the controls (p < 0.006). There was a moderate, negative correlation between disease duration and interbout QUINA levels (p < 0.048, R = −0.459); and between the total number of CH attacks experienced during the lifetime of patients and the interbout KYN concentrations (p < 0.024, R = −0.516). Linear regression models revealed negative associations between age and levels of Trp, kynurenic acid, 3-hdyroxyanthranilic acid and QUINA in healthy control subjects, as well as between age and ictal level of anthranilic acid.Conclusions:Our results refer to a specifically altered Trp metabolism in CH patients. The onset of metabolic imbalance can be attributed to the interbout period, where the decreased KYN level is unable to perform its protective functions, while the concentration of QUINA, as a toxic compound, increases. These processes can trigger CH attacks, which may be associated with glutamate excess induced neurotoxicity, neuroinflammation and oxidative stress. Further studies are needed to elucidate the exact functions of these molecular alterations that can contribute to identify new, potential biomarkers in the therapy of CH.
A convergence analysis of hybrid gradient projection algorithm for constrained nonlinear equations with applications in compressed sensing
Authors: Li Dandan , Wang Songhua , Li Yong , Wu Jiaqi
Published: February 2023

In this paper, we propose a projection-based hybrid spectral gradient algorithm for nonlinear equations with convex constraints, which is based on a certain line search strategy. Convex combination technique is used to design a novel spectral parameter that is inspired by some classical spectral gradient methods. The search direction also meets the sufficient descent condition and trust region feature. The global convergence of the proposed algorithm has been established under reasonable assumptions. The results of the experiment demonstrates the proposed algorithm is both more promising and robust than some similar methods and it is also capable of handling large-scale optimization problems. Furthermore, we apply it to problems involving sparse signal recovery and blurred image restoration.
Mathematic Subject Classification: 65K05 65H10 90C30 90C56
A Study on Hr Analytics Adoption Level of Human Resource Management Practices in Select Information Technology Companies- Descriptive Study
Authors: SELVARAJ VISHNU PRIYA , V Santhi
Published: February 2023

Purpose:
The article aims to explore how organizational sustainability with the impact of HR analytics in Human Resource Management practices.
Design/Approach/Methodology:
The study framed hypothesis to test and analyze HRM practices, HR analytics, and organizational sustainability constructs. The research was based on primarily data and the data were collected through questionnaires in online mode, from the targeted respondents belonging to HR employees of select IT companies in India. AMOS and SPSS were utilized for this research.
Practical Implications:
In this study, a brand-new methodological approach was employed. The method was demonstrated to be workable and scalable.
Findings:
The study’s findings showed a substantial correlation between the organizational sustainability concept and the prediction of HRM practices.
Value/Originality:
The article employs a technique for HR analytics to forecast HRM elements of organizational sustainability.
Optical coherence tomography detects early optic nerve damage before visual field defect in patients with pituitary tumors
Authors: Sasagawa Yasuo , Nakahara Mitsutaka , Takemoto Daisuke , Nakada Mitsutoshi
Published: February 2023

Purpose
Optical coherence tomography (OCT) is a useful tool for predicting visual recovery after the removal of pituitary tumors. However, the utility of OCT in patients with pituitary tumors and a normal visual field is unclear. We aimed to analyze OCT features in pituitary tumors without visual field defects.
Methods
Pituitary tumors without visual field defects were selected. A total of 138 eyes from 69 patients, assessed by the Humphrey visual field test and OCT, were enrolled in this study. Using preoperative coronal sections of MR images, patients were divided into chiasmal compression (CC) and non-chiasmal compression (non-CC) groups, and OCT characteristics were examined.
Results
The CC and non-CC groups consisted of 40 and 29 patients, respectively. There were no differences in age, sex, tumor type, or degree of visual field testing, but the tumor size was different between the two groups. On OCT, macular thickness ganglion cell complex (mGCC) was significantly thinner in the CC group than that in the non-CC group (112.5 vs 117.4 um, P < 0.05). Based on a database of healthy participants, 24% and 2% of eyes in the CC and non-CC groups had abnormal mGCC thickness (P < 0.01), respectively. In a sub-analysis of the CC group, patients with an abnormal mGCC thickness were older than a normal one (58.2 vs 41.1 years, p < 0.01).
Conclusions
OCT can detect early optic nerve damage due to optic CC by pituitary tumors, even in normal visual fields. The degree of mGCC thinning may provide an appropriate surgical timing for pituitary tumors that compress the optic chiasm.
Sociodemographic predictors of parenting stress among caregivers in disadvantaged settings: evidence from Kenya and Zambia
Authors: Okelo Kenneth Odhiambo , Auyeung Bonnie , King Josiah , Murray Aja Louise , Kitsao-Wekulo Patricia , Onyango Silas , Wambui Elizabeth
Published: February 2023

Introduction: Parental stress occurs when parenting demands are greater than the resources available to cope with parenting. Factors including household wealth, educational level, marital status, age and the number of children under the care of a parent have been indicated as predictors of parental stress. However, there is limited evidence from sub-Saharan Africa (SSA) on these associations. This work provides an understanding of parental stress in SSA and improves the conceptualization and implementation of maternal mental health-related interventions.
Methods: Data was derived from longitudinal nurturing care evaluation studies conducted in Kisumu and Nairobi Counties in Kenya, and Chisamba District in Zambia. A linear regression model adjusting for clustering and covariates was used to determine the association between caregivers’ parenting stress and their socio-demographic characteristics.
Results: The mean parental stress scores were slightly below the average in the rural study sites and slightly above the average in the urban study site (Kenya rural; 37.6 (11.8), Kenya urban; 48.8 (4.2) and Zambia rural; 43.0 (9.1). In addition, parental stress was associated with at least four factors; caregivers’ income, their age, their level of education and the age of their child (income: Kenya rural; β = -0.285, P < .01**, Kenya urban; β = -0.179, P = .02* and education: Kenya rural; β = -0.192, P < .01**, Kenya urban; β = -0.148, P = .01*).
Conclusion: The policy implications of the findings from this study include improving maternal mental health through poverty alleviation-related interventions, improving caregivers parenting knowledge and improving the provision of childcare services in poor urban and rural settings.
Trial registration: PACTR201905787868050 and PACTR20180774832663
Artificial Intelligence-based optimization of Variable Blank Holder Force to reduce residual stress and improve formability; Experimental and statistical analysis
Authors: Khaboushani Mohammad , Parvizi Ali , Aminzadeh Ahmad , Karganroudi Sasan Sattarpanah
Published: February 2023

Many contributory factors can influence the quality of the deep drawing process, among which Blank Holder Force (BHF) plays a decisive role. Therefore, controlling the BHF during the deep drawing process can bring many advantages and act as a deterrent against process failures, including tearing, wrinkling, and fatigue due to excessive residual stress and cyclic loads. Variable Blank Holder Force (VBHF), in which the BHF varies along the punch stroke, has recently been a popular method for improving sheet metal quality in the deep drawing process. In this study, VBHF was optimized to improve the formability of the process and reduce the residual stress using two different methods of Artificial Intelligence (AI) and Response Surface Method (RSM). The main purpose of this research is to introduce a new approach based on AI for VBHF optimization and compare the result of which with that of previous methods (Statistical methods). To reach this aim, BHFs in seven different stages of punch stroke were considered as the inputs of the process, and drawn depth at the tearing moment in addition to residual stresses were considered as the outputs of this optimization process. The optimization was carried out in two forms, single and multi-objective optimization to yield the desired results. The deep drawing process was numerically simulated using Abaqus/Explicit Software, with heavy modeling calculations performed on the supercomputer, Simorgh, and the experimental studies were carried out to verify FEM simulation. Additionally, to optimize VBHF using AI methods, Artificial Neural Network (ANN) was used to define a correlation function between inputs and outputs, and a Genetic Algorithm (GA) was used to optimize the function trained by ANN. Optimization results demonstrated that although the trend of optimized VBHF using AI and RSM were considerably similar to each other, the AI results were better than that of RSM in both cases of residual stress reduction and draw ability improvement. The FEM model of deep drawing process was shown to be reliable due to its excellent agreement with experimental studies.
Strength and timing of primary and secondary vortices generated by a rotating plate
Authors: Francescangeli Diego , Mulleners Karen
Published: February 2023

Accurate predictions of how vortices grow, evolve, and separate from aerodynamic objects are desirable for various applications ranging from autonomous aerial vehicles to wind turbines. Here, we present an experimental characterisation of the formation process of vortices created by the rotation of a thin rectangular flat plate. The plate is rapidly accelerated from rest up to a constant rotational velocity that was varied to explore the effect of the Reynolds number on the limit strength and the timing of successively generated vortices at the tip of the plate. The total non-dimensional positive circulation released at the tip of the plate during the entire rotation varies solely as a function of the angular position of the plate. Initially, all this circulation accumulates in a primary or starting vortex until this vortex separates after a constant non-dimensional time for all rotational velocities and different plate dimensions tested. An empirical model of the prediction of the limit strength of the primary vortex based on the constant non-dimensional formation is presented. The limit strength of the primary vortex is independent of the Reynolds number. After the primary vortex separates, a series of smaller secondary vortices form at the tip of the plate. These secondary vortices are discretely released at increasing time intervals. The timing of the release of the secondary vortices and their non-dimensional strength depend on the Reynolds number, and an empirical prediction model is presented.
How Artificial Intelligence Influences Project Management
Authors: Victor Nwosu Obinnaya Chikezie
Published: February 2023

Despite the fact that artificial intelligence and machine learning have already found a wide range of applications in business, their impact on project management is only just starting to become obvious. This is despite the fact that these two technologies have been around for quite some time. In this report, we share our findings to help in understanding the impacts of artificial intelligence on projects and how they will reshape project management in the future based on suitable AI inputs. The purpose of this report is to assist in understanding the impacts of artificial intelligence on projects. This report's objective is to provide assistance in better comprehending the effects that artificial intelligence has on various initiatives. Both the findings of management case studies and those of AI have nothing to do with the most essential aspect of future project management, which has nothing to do with either subject. This aspect is unconnected to both of them. It is more comparable to the theory of evolution, which states that natural selection ensures that those who are able to live will be those who are the most adaptable to change, which will undoubtedly take place. This assertion is based on the idea that those who are able to live will be those who are the most adaptable to change. We recommend that you think about the implications of our findings in terms of long-term change management and digital transformation if you are an interested reader who wants to go further beyond the bounds of our study.
Air Cavity Deformation by Single Jointed Diver Model Entry Bodies
Authors: Gregorio Elizabeth , Balaras Elias , Leftwich Megan C.
Published: February 2023

Competitive divers are able to attain much higher scores when they perform a splash-less entry. To achieve this goal, they use the "rip" entry maneuver where they roll their body forward immediately after impact. This dynamic shape change after impact separates them from previously studied entry bodies. An experimental study of a geometrically simplified hinged diver model is presented. The results for five different hinged models are reported. Geometric and hinge stiffness changes are used to identify the most important aspects of the maneuver. The trajectory of these models after impact and the estimated size of the entrained air cavity are reported. The models that deform the fastest also have the largest final estimated air cavity. A non-dimensional time scaled by the time to complete deformation is found to collapse the estimated size of the air cavity for all models that deform before pinch off. Fixed models are introduced to compare the hinged models to non-deforming entry bodies. The hinged models are found to have between 42% - 154% larger estimated air cavities during the final measurement than their fixed counterpart. At the moment of deep seal, two distinct air cavities are formed: one that connects to the atmosphere above the pool that has smooth walls and a lower cavity largely composed of small bubbles. This composition is analogous to observations of competitive divers.Entry bodies that deform are found to significantly change the entry body dynamics and formation of the air cavity.
Designing an Epidemic Health Insurance
Authors: Atatalab Fatemeh , Najafabadi Amir T. Payandeh , Zokaei Mohammad
Published: February 2023

This paper considers a one-year healthcare insurance contract inwhich a policyholder protects against an epidemic risk within thepolicy term and its side effects at most five years later forthose who got an infection during the policy period. To deriveactuarial computations, it considers a SIDS epidemic model inwhich infection rates depending on the time. Under such SIDSepidemic model and four health insurance plans fair premium andloss reserves have been evaluated. Finally, through a simulationstud, practical product application has been given.
MSC classification: 60J28,91B30, 92D30
Human gut microbiota from hepatitis B virus-infected individuals is associated with reduced triglyceride level in mice: faecal transplantation study
Authors: Kim Han-Na , Cheong Hae Suk , Kim Bomi , Sohn Won , Cho Yong Kyun , Kwon Min-Jung , Kim Juhee , Song Youngmi , Joo Eun-Jeong
Published: February 2023

Background:Chronic hepatitis B virus (HBV) infection is associated with a reduced risk of dyslipidaemia. Using a human faecal transplant mouse model, we compared changes in gut microbiota and lipid profiles in mice transplanted with human faeces from HBV-infected and non-infected individuals.Methods:A total of 19 mice received human faecal microbiota transplantation (FMT) from four HBV-infected individuals and were categorised into the HBV-positive mice group, while 20 mice received FMT from four HBV-non-infected individuals and were categorised into the HBV-negative mice group. Serial changes in the gut microbiota and lipid levels were compared between the two subgroups during 6 weeks of post-FMT period.Results: In the analysis of gut microbiota in FMT mice, we observed a robust increase in alpha diversity and abundance of taxa related to lipid metabolism, includingAkkermansia muciniphilain HBV-positive mice, compared to that in HBV-negative mice. Functional inference analysis revealed that the pathways involved in glycerolipid metabolism were more enriched in HBV-positive mice. At 5 weeks of post-FMT, the reduced triglyceride (TG) level was predominantly observed in HBV-positive mice, compared to that in HBV-negative mice.Conclusions:In the experimental FMT mouse model, we found that altered gut microbiota accompanied by HBV infection was associated with a robust increase in alpha diversity and butyrate producers, which resulted in areduced level of TG at 5 weeks post-FMT. This indicates that the reduced risk of dyslipidaemia in chronic HBV infection may be due to the altered gut microbiota accompanied by HBV infection.
Stacking Faults Defect-Rich MoNi Alloy for Ultrahigh-Performance Hydrogen Evolution
Authors: Wang Yuan , Arandiyan Hamidreza , Mofarah Sajjad S. , Shen Xiangjian , Bartlett Stuart , Koshy Pramod , Sorrell Charles , Sun Hongyu , Pozo-Gonzalo Cristina , Dastafkan Kamran , Britto Sylvia , Bhargava Suresh , Zhao Chuan
Published: February 2023

Producing green hydrogen in a cost-competitive manner via water electrolysis will make the long-held dream of meeting energy needs with hydrogen instead of fossil fuel a reality. Although platinum-based catalysts show good performance towards hydrogen evolution reaction (HER), the high cost and scarce abundance challenge their economic viability for large-scale implementation. Here, we engineer high fractions of stacking fault defects in MoNi nanosheets to form a high-performance electrocatalyst (d-MoNi) through a combined chemical and thermal reduction strategy. Using d-MoNi as an electrode for HER afforded ultralow overpotential of 63 and 120 mV at current densities of -500 and -1000 mA cm-2 in 1 M KOH, respectively. Besides, the stacking fault defect-rich d-MoNi exhibits 4 orders of magnitude higher turnover frequency than benchmark 20% Pt/C, together with excellent durability (>100 h) at high current density of 1000 mA cm-2, making it one of the best-performing non-platinum catalysts for HER. The experimental and theoretical results reveal that the abundant stacking faults in d-MoNi induce a compressive strain, decreasing the proton adsorption energy and promoting the concomitant combination of adsorbed hydrogen into molecular hydrogen and the desorption of the molecular hydrogen, therefore enhancing the HER performance. This work provides a new synthetic route to engineer defective metal and metal alloy electrocatalysts for emerging applications in electrochemical energy conversion and storage.
Vaccination Coverage and associated factors among under-five children in Ethiopia: Mini Demographic and Health Survey 2019
Authors: Damete Dereje Derbew , Terefe Zerihun Alene
Published: February 2023

Background: Vaccination is also the prevention strategy for common childhood illnesses. Globally vaccines prevent millions of outbreaks of diseases and save thousands of lives each year, but vaccine-preventable diseases remain a threat. Child vaccination coverage is higher in Eastern and Southern Africa than in West and Central Africa. Nevertheless, more refined data reveal that the levels of inequality between and within countries are substantial. This study aimed to measure vaccination coverage and associated factors among under-five children in Ethiopia.
Methods: This study's data was extracted from the 2019 Ethiopia Mini Demographic and Health Survey. A weighted sample of 935 under-fives aged 12-23 months participated in the study. The STATA version 16 software was used to conduct the analysis. Backward stepwise elimination was manually applied using complex sample designs for inferential statistics and sampling weights for descriptive statistics. At the level of p-value 0.05, statistical significance was finally declared.
Results: The overall vaccination coverage in this study was 55.0%. In multivariate analysis the age of household head, (AOR = 0.617, 95% CI: 0.400- 0.954) had lower among the 41-50 age household head as compared to the 18-30 age household head. The odds of vaccination coverage were lower in the Oromia region compared with the Tigray region (AOR = 0.256, 95% CI: 0.134-0.488).
Vaccination coverage odds were lower in rural places of residence in comparison with the urban places of residence (AOR = 0.495, 95% CI: 0.315-0.779). Regarding the household wealth index, the richer wealth index (AOR = 1.791, 95% CI: 1.101-2.915) had higher odds of vaccination coverage when compared with children from the poorest wealth index.
Higher odds of vaccination coverage were found for mothers who gave birth in a health facility as compared to mothers who gave birth at home (AOR = 1.437, 95% CI: 1.083-1.907). When compared to children who did not receive postnatal care, those who did have higher odds of having received all recommended vaccinations (AOR = 2.377, 95% CI: 1.564-3.612).
Conclusion: Vaccination coverage in Ethiopia was significantly lower than the worldwide target. It shows the region, household age, place of residence, wealth index, place of delivery, and postnatal care had a statistically significant association with vaccination coverage. These findings suggest that mobile and outreach vaccination services are needed for hard-to-reach rural areas, especially pastoral and semi-pastoral areas. Furthermore, additional research may be necessary to obtain more representative regional data.
Sentiment Analysis of COVID-19 on Weibo text using optimized Bi-LSTM model
Authors: Yang Shuo
Published: February 2023

The outbreak of Coronavirus disease 2019 (COVID-19) poses a major challenge for China. Sentiment analysis of texts on social media such as Sina-Weibo in China can be useful for adjusting outbreak prevention policies and public health responses. A Bi-LSTM model based on self-attention was used to analyze 110,000 Weibo texts from February 2020 to October 2022, and a topic extraction model for Weibo texts was built using Latent Dirichlet Allocation (LDA). The analysis of the results revealed three key dimensions: time, space, and topic. In terms of time, sentiment among Weibo users was found to be divided into three distinct periods: Formation period, Fluctuation period, and Fading period. In terms of space, the majority of texts about the epidemic on Weibo were concentrated in several key regions, including the Beijing-Tianjin-Hebei region, the Yangtze River Delta, the Pearl River Delta, and the ChengduChongqing urban agglomeration. Sentiment among all the provinces and regions was found to be positive, with Chongqing city and Hunan province having the most positive sentiment. In terms of topic, the main focus of discussions related to the epidemic was found to be ”Impact of COVID-19”, ”Obstacles to work” and ”Life stress”. Consequently, it is suggested that governments adjust their epidemic prevention policies to curb negative sentiment, taking into account changes in sentiment intensity and local concerns. The government is also advised to focus on implementing solutions such as ”Protection against COVID-19”, ”Deregulation”, and ”Well-being benefits for life” by implementing targeted response measures and investing in mental health resources.
Analysis of PGOT algorithm and its relaxed versions under total perturbations
Authors: Liu YongFei , Ye Chengfu , Yang Fan , Tian XiaoYue
Published: February 2023

Partial gradient optimal thresholding (PGOT) is algorthm for sparse approximation with a dense vector, which is an integration of the partial gradient and the optimal k - thresholding technique. Previous studies of PGOT have considered the recovery of a sparse signal x through Φ and y = Φx + b where Φ is a matrix with more columns than rows and b denotes the measurement noise. However sometimes important information is stored in the dense part. In this paper, based on Restricted Isometry Property (RIP), the performance of PGOT is analyzed under total perturbations, which means both y and Φ are perturbed. For PGOT and its relaxed versions, three sufficient conditions are presented to guarantee that the sparse vector with a dense vector x is recovered. Numerical results demonstrate that the PGROTP algorithm is effificient for sparse approximation with a dense vector. Analysis of PGOT algorithm and its relaxed versions under total perturbations
Optimisation Technique For Perfect Pairing
Authors: P Rohit T , Gopalan Sasi , S Sunith V , Dinesh Amrutha , Shaheen Varsha
Published: February 2023

Research focuses on the aspects of finding ideal pairs among ’n’ entities under specified constraints. The entities are assumed to be perfectly logical and possess quantifiable properties only. Each entity given a set of criteria is expected to rate itself to maximize its probability of being paired with another entity of desired properties. After the rating ’n’ rank lists are prepared (one per each) by the entities so as to express their preference in matchmaking. The matchmaking is done using the pairing algorithm which pairs up two entities. The pairing is done in a way that reduces the total cost of the matches. The cost of a single match is calculated by taking the sum of the rank of the first entity in the second entity’s list and the rank of the second entity in the first entity’s list. Also, the algorithm must ensure all pairings are stable, that is if a pairing is made between (e1,e2) there must not be an er such that er exists above e2 in the rank list of e1 and e2 and e1 and e2 exist above the pairing of er.
Right Ventricle Specific Therapies in Acute Respiratory Distress Syndrome: A Scoping Review
Authors: Ganeriwal Simran , Anjos Gabriele Alves dos , Schleicher Mary , Hockstein Maxwell A. , Tonelli Adriano R. , Duggal Abhijit , Siuba Matthew T.
Published: February 2023

Objective:
To summarize knowledge and identify gaps in evidence regarding treatment of right ventricular dysfunction (RVD) in acute respiratory distress syndrome (ARDS).
Data Sources
We conducted a comprehensive search of MEDLINE, Embase, CINAHL, Web of Science, and the Cochrane Central Register of Controlled Trials.
Study Selection
Studies were included if they reported effects of treatments on right ventricular function, whether or not the intent was to modify right ventricular function.
Data Extraction
Data extraction was performed independently and in duplicate by two authors. Data items included the study design, patient population, type of intervention, comparison group, and RV-specific outcomes.
Data Synthesis
Of 1,430 studies screened, 51 studies reporting on 1,526 patients were included. By frequency, the included studies examined the following interventions: ventilator settings (29.4%), inhaled medications (33.3%), extracorporeal life support (13.7%), intravenous or oral medications (13.7%) and prone positioning (9.8%). The majority of the studies were non-randomized experimental studies (53%), with the next most common being case reports (16%). Only 5.9% of studies were RCTs. In total, 27% of studies were conducted with the goal of modifying RV function.
Conclusions
Given the prevalence of RVD in ARDS and its association with mortality, the dearth of research on this topic is concerning. This review highlights the need for prospective trials aimed at treating RV dysfunction in ARDS.
The Role of Artificial Intelligence Algorithm in Predicting the Prognosis in Prolactinomas
Authors: Kara Zehra , Kimyon Özge Şahin , Bulan Batuhan , Akkaya Kübra , Sulu Cem , Demir Ahmet Numan , Uysal Serhat , Arslan Serdar , Özkaya Hande Mefkure , Kadıoğlu Pınar
Published: February 2023

Objective
To test the utility of the artificial learning algorithms using magnetic resonance (MR) images of the pituitary gland in predicting the prognosis of prolactinoma.
Methods
This single-center, retrospective study was conducted in the Pituitary Center of a tertiary care university hospital. A total of 224 images derived from 38 patients with treatment-refractoryprolactinoma, 23 patients with prolactinoma remission and 51 healthy individualswere used. Pituitary MRI protocols are of three sequences: T1-weighted imaging (T1WI), contrast-enhanced T1WI (CE-T1), and T2-weighted imaging (T2WI). A machine learning algorithm that includes image filtering and classification. Data were classified with support vector machine.
Results
No difference was found between the refractory and the remission groups in terms of age, sex, education, the baseline prolactin level and radiological features. Images were classified with a support vector machine; area under curve (AUC), accuracy, sensitivity and specificity of 0.90 (95% confidence interval, 0.679-1), 91.6%, 91.7%, 88.3%, respectively.
Conclusion
These results indicate that a new image of unknown nature can be correctly identified with the specified percentages.
An analysis using simulation to compare several moving average techniques for time series data
Authors: HASAN MD SAKIBUR , Sarker Bishal
Published: February 2023

There are many smoothing techniques available, and selecting the appropriate Technique is a very important issue to achieve good smoothing performance. This study intends to compare different types of moving average smoothing techniques. The study compares the simple moving average (SMA), exponential moving average (EMA), double exponential moving average (DEMA), weighted moving average (WMA), and zero-lag exponential moving average (ZLEMA). Some error measures are mean error, mean absolute error, and mean square error. are calculated for the above smoothing techniques to compare the smoothing accuracy of these methods. The simulated data used for the study came from six different statistical distributions. The study assists in determining the best moving average smoothing method for any time series data.
WITHDRAWN: The Effect of SF6 Plasma Exposure on the Water-Repellency, Physical and Chemical Properties of the Cotton Fabric
Authors: Alali Weaam , Saffour Ziad , Saloum Saker
Published: February 2023

Low-pressure, remote radio-frequency (RF) hollow cathode discharge (HCD-L300) SF6 plasma system has been shown to be a powerful method in cotton fabric finishing to achieve water-repellent property. This plasma was ignited at a flow rate of (200 sccm), low pressure (0.5 mbar), and radio frequency (13.56 MHz) with a power of (300 W). The contact angle was characterized as a function of the plasma exposure period, and the changes in the morphology, chemical structure, and mechanical properties as tensile strength and elongation at break of the fabric have also been investigated. In addition, weight loss of the fabric and the fastness to washing have been studied. It was found that the exposure period of the fabric to the plasma has an important influence on the water-repellency property. Moreover, a water-repellent cotton fabric has been produced in a short time of treatment (1 min). In addition, it has physical and chemical changes; physically, grooves were formed on the surface of the fibers after treatment, and chemically, the fluorine atoms were attached to the surface of the fibers.
Pop-off mechanisms as renoprotective mediators in children with posterior urethral valves: A systematic review and meta-analysis
Authors: Montero Javier Arredondo , Riveros Blanca Paola Pérez , Asfura Oscar Emilio Bueso , Martín-Calvo Nerea
Published: February 2023

Background
Pop-off mechanisms are potential pressure-relieving mediators in patients diagnosed with posterior urethral valves (PUV). These mechanisms include, among others, urachal persistence, urinomas, bladder diverticula and unilateral high-grade vesicoureteral reflux. The aim of this systematic review was to synthesize the existing evidence regarding the protective effect of pop-off mechanisms on renal function in children with PUV.
Methods
We conducted a systematic review of the literature that involved an extensive search in the main databases of medical bibliography. Three independent reviewers selected the relevant articles based on the previously defined inclusion and exclusion criteria. Methodological quality of the selected article was rated using the Newcastle Ottawa Scale index. Data extraction was performed by three independent reviewers. We used random meta-analyses to compare different outcomes (serum creatine, Nadir serum creatinine, and renal failure) between children with PUV and pop-off mechanisms and those with PUV but without pop-off mechanisms.
Results
10 studies with data from 896 participants were included in this review. The age of the participants ranged from 0 to 25 years. Seven articles reported serum creatinine values for each group and 3 of them found significant differences between groups. The random-effects meta-analysis for serum creatinine showed significant lower mean (diff=-52.88 µmol/L [95% CI -73.65 to -32.11]) in the group of children with pop-off mechanisms, and the random-effects meta-analysis for Nadir serum creatinine showed a marginally significant lower mean in the group of children with pop-off mechanisms (diff=-12.00 µmol/L [95% CI -24.04 to 0.04]). The random-effect meta-analysis for renal failure resulted in a significant risk reduction on the group of children with pop-off mechanisms (odds ratio = 0.48 [95% CI 0.23 to 0.98]).
Conclusions
Children with PUV and pop-off mechanisms show better renal function and lower risk of renal failure than those with PUV but without pop-off mechanisms suggesting these mechanisms may act as renoprotective mediums. The high heterogeneity between studies in the assessment of renal function and long-term outcomes compel to interpret these findings with caution. Future studies that stratify by the different types of pop-off mechanisms and use standardized metrics, such as Nadir creatinine are needed.
How do Households Cope during Aggregate Shocks? Evidence from the 2009-2015 Oil Crisis in Nigeria
Authors: Animashaun Jubril , Wossink Ada
Published: February 2023

The effect of global oil price fluctuations on households’ costs of living in Nigeria is examined. We extend a simplified model of the microeconomic implication of macroeconomic shocks that allows for cross-sectional heterogeneity in households’ distributions and consumption preferences. First, we show the effect of global oil price shocks heterogeneously varies depending on households’ preferences and consumption bundles. Second, due to the oil economies' enclave nature, we show that shocks would create a specific distributional effect that is more pronounced on households closely related to the oil economy. For the empirical analysis, we use oil prices between the years 2009 to 2015 and micro-level data from the Nigerian General Household Survey (GHS) collected between 2010 and 2016 in Nigeria. Our empirical results confirm our prediction: oil prices have a differential effect depending on how closely the regional economy is tied to oil production. We also find evidence supporting consumption substitution strategies, adjustments in household size, and labor supply as some coping responses to oil price changes.
JEL: D1, O12, O55
Management of the Sports Industry for Ensuring the Public Health: Prospect of Implementing the Innovations
Authors: Lyeonov Serhiy , Samusevych Yaryna , Gurmach Anastasia , Juscius Vytautas
Published: February 2023

The article is devoted to studying the relationship between sports management and ensuring the population’s health. The study of current trends in the development of sports industry management was carried out with the help of bibliometric analysis. The results proved that the modern sports management system should consider the quality of the provision of sports services and the opportunities for their commercialization, the impact of the dispute on people’s lives and health, the role of sports in ensuring sustainable development, and the financial support of the sports industry. In order to assess the impact of the sports industry on public health and the quality of life, a set of statistical indicators was formed. These indicators characterize the functioning of the sports industry (the number of sports facilities, the involvement of the population in sports and recreational activities) and the state of the population’s health (parameters of life expectancy, morbidity, and mortality) of Ukraine for 2000-2021. Calculations were made by regression modeling using the Prais-Winsten method, including a time lag from 0 to 4 years. The obtained results proved that, at the current stage, the development of the sports industry has a limited impact on the health indicators of the population. In particular, it was found that engaging in the population’s physical culture and health activities contributes to reducing its mortality rate. Besides, engaging the population in such activity at enterprises, institutions, and organizations contributes to reducing the overweight population. On the other hand, a direct connection was also recorded between the growth of the population’s sports activity and the deterioration of certain public health parameters (in particular, the incidence of tuberculosis, hypertension, and mortality from certain diseases). At the same time, it was confirmed that the population’s activity in sports largely depends on the number of sports facilities. It made it possible to assess the transmission effects of the presence of sports facilities on the population’s health. Calculations have shown that the growth of the number of sports facilities for professional sports mostly has a negative impact on the health and life indicators of the population. In contrast, the impact of playgrounds with exercise equipment is mostly positive. That makes it possible to substantiate the areas on which the management of the sports industry should be focused to ensure the maximization of its positive impact on public health.
Kemampuan Literasi Matematika Siswa Berdasarkan PISA Level 4
Authors: Suwarno Muji , Ardani Riska Ayu
Published: February 2023

Penelitian ini bertujuan untuk mendeskripsikan kemampuan literasi matematika siswa ditinjau dari permasalahan matematika PISA level 4. Jenis penelitian yang dilakukan menggunakan metode kualitatif deskriptif. Subyek penelitian siswa kelas VII-A SMP Integral Ar-Rohmah sebanyak 27 siswa. Instrumen yang digunakan adalah 3 soal masalah matematika pisa level 4. Teknik pengumpulan data menggunakan tes tertulis dan wawancara. Teknik analisis data dengan mereduksi data, menyajikan data dan menarik kesimpulan. Hasil penelitian menunjukan bahwa kemampuan literasi matematika S1 dapat menguasai kemampuan koneksi, kemampuan reproduksi dan kemampuan refleksi. Sedangkan kemampuan literasi matematika S2 adalah tidak menguasai kemampuan koneksi, kemampuan reproduksi ataupun kemampuan refleksi dikarenakan S2 mengalami kesalahan konsep, test taking errors dan misread-directions errors.Kata Kunci: PISA, literasi matematika, matematika PISA
Evaluating extremophilic microorganisms in industrial regions
Authors: Asyakina Lyudmila , Vorob'eva Ekaterina , Proskuryakova Larisa , Zharko Maria
Published: February 2023

Abiotic and biotic stresses have a major impact on crop growth. Stress affects the root system and decreases the amount of nutrients in fruits. Modern agricultural technologies help replace mineral fertilizers with new generation biopreparation. Unlike chemical fertilizers, biofertilizers reduce the risk of adverse environmental impacts. Of special interest are extremophilic microorganisms able to survive in extreme conditions. We aimed to study the phytostimulating ability of extremophilic bacteria isolated from disturbed lands in the coal-mining region.

We isolated microorganisms from disturbed lands and studied their cultural, morphological, and biochemical properties. Then, we determined their ability to synthesize indole-3-acetic acids. The extremophilic bacteria were identified and subjected to biocompatibility testing by co-cultivation. Next, we created consortia of pure cultures and analyzed biomass growth. Finally, the biopreparation was experimentally tested on Trifolium prantense L. seeds.

We isolated 10 strains of microorganisms that synthesized 4.39 to 16.32 mg/mL of indole-3-acetic acid. The largest amounts of the acid were produced by Pantoea spp., Enterococcus faecium, Leclercia spp., Rothia endophytica, and Klebsiella oxytoca. A consortium of Pantoea spp., E. faecium, and R. endophytica at a ratio of 1:1:1 produced the largest amount of indole-3-acetic acid (15.59 mg/mL) and accumulated maximum biomass. The addition of 0.2% L-tryptophan to the nutrient medium increased the amount of indole-3-acetic acid to 18.45 mg/mL. When the T. prantense L. seeds were soaked in the biopreparation (consortium’s culture fluid) at a concentration of 2.5, the sprouts were 1.4 times longer on the 10th day of growth, compared to the control.

The consortium of Pantoea spp., E. faecium, and R. endophytica (1:1:1) stimulated the growth of T. prantense L. seeds. Our findings can be further used to develop biofertilizers for agriculture.