bluuebunny/crossref_metadata_2025_split huggingface dataset:
THE CATALYSTS IMPACT ON THE TRI- AND DIETHANOLAMINE AND ETHYL OLEATE INTERACTION
Authors: Melnyk Stepan , Danyliuk Roman 
Published: December 2022

Alkanolamides and ester amines are raw materials for manufacturing surfactants, detergents and cosmetics, pharmaceuticals, and dyes. We investigated the regularities of the interaction between ethyl oleate and a mixture of tri- and diethanolamines (diethanolamine content was 21 wt.%) in the presence of Brønsted and Lewis catalysts. The cation exchange resin KU-2-8, anion exchange resin AB-17-8, potassium hydroxide, nickel oxalate, cation exchange resin KU-2-8 with immobilized Ni2+ ions, cation exchange resin KU-2-8 with immobilized Ni2+ ions treated with a 0.1 M alkali solution within 1 hour, and tin (II) p-toluenesulfonate were used as catalysts. The reaction was carried out in non-stationary conditions with the formed ethanol distillation from the reaction mixture to shift the transesterification reaction equilibrium. It was established that the studied catalysts, with a few exceptions, are characterized by a relatively low rate of reagent conversion. It is shown that the effectiveness of cation exchange resin KU-2-8 in the H-form depends significantly on the temperature and, to a greater extent, on the ethyl oleate and tri- and diethanolamines molar ratio. The study of the reagent ratio influence made it possible to assume that mass transfer processes significantly affect the parameters of ethyl oleate and ethanolamines interaction. It is shown that, under the same conditions, catalytic activity similar to cation exchange resin KU-2-8 is exhibited by anion exchange resin AB-17-8 and tin (II) p-toluenesulfonate. Modifying cation exchange resin KU-2-8 by immobilized nickel ions improves its catalytic properties, and subsequent treatment of the obtained catalyst with an alkali solution even slightly reduces the conversion of ethyl oleate. It was established that nickel oxalate exhibits the highest activity as a catalyst for the reaction between ethyl oleate and tri- and diethanolamines. This effect can be explained by the high electron-accepting properties of the oxalate anion, which reduces the electron density of the Ni2+ cation. As a result, in the presence of this catalyst, the ester conversion is 21.9%. The obtained results made it possible to conclude the potential prospects of using cation exchange resin KU-2-8 in H-form and nickel oxalate as catalysts for ethyl oleate and tri- and diethanolamines interaction.
Effect of internet-based UP-A intervention on stress, anxiety, depression, and psychological flexibility during the COVID-19 pandemic: A clinical trial
Authors: Javadi Vahideh , Mousavi Elnaz , Ahmadi Farzaneh , Ebrahimi Leila Salek , Dadashi Mohsen 
Published: December 2022

Abstract

This clinical trial aims to assess the effectiveness of internet-based Unified Protocol for Transdiagnostic Treatment of Emotional Disorders in Adolescents (UP-A) during the COVID-19 pandemic in reducing stress, anxiety, and depression, and psychological flexibility of 40 adolescents with subclinical features of emotional disorder randomly divided into two groups of intervention and control. They first completed DASS-21 and AAQ-2 online. Then, the intervention group received 12 sessions of UP-A through video call on WhatsApp, 2 days per week each for 45 minutes. Their stress, anxiety, and depression levels decreased and their psychological flexibility increased immediately and 3 months after the intervention.
The plight of social workers working with children and adolescents suffering mental health disorders in South Africa
Authors: JACOBS CANDICE LEE , LEKGANYANE MADITOBANE ROBERT 
Published: December 2022

Abstract

Social workers working with children and adolescents displaying mental health disorders in the Child and Youth Care Centres (CYCCs) have an enormous responsibility to support and care for these young people. In under-resourced countries such as South Africa, their responsibility includes educating caregivers on how to better manage the conditions of these young people and to support them with behavioural changes. This responsibility is however, not free from hindrances such as a lack of relevant resources. Despite the significant role played by these social workers and their challenges in supporting these young persons, research attention is very limited in this field of social work practice. This stillness impelled an exploratory qualitative research study aiming to explore the challenges faced by social workers when rendering services to these children and adolescents. The study was conducted in South Africa’s Gauteng province, designed from exploratory and descriptive strategies and following ecological systems theory. The data collection method used was semi-structured online interviews and the collected data was analysed through Braun and Clarke’s six steps of qualitative data analysis. In ensuring data verification, the trustworthiness strategies proposed by Guba and Lincoln were adopted. The findings are presented in four themes: the general challenges of working with child and adolescent mental health disorders, the service-related challenges, challenges of dealing with complex disorders and limited resources for child and adolescent mental health disorders. Among the recommendations proposed is the design of research-based programmes to assist social workers working with case of children and adolescents with mental health disorders.
Is the property tax a capital tax?
Authors: Tirozzi Annalisa 
Published: December 2022

Abstract
Property tax is generally told as an “efficient” tax, fully capitalised into property values. However, it can become a direct tax on capital, with distorsive effects, when it is applied to business capital. Empirical literature still debates on the nature of business capital which creates distortions, the more or the less fixed, with no conclusive findings. This paper studies the impact of the local property tax on business by exploiting a tax reform approved in Italy at the end of 2015, when heavy equipment are excluded from the business property tax base. In the first part, with a Difference-in-difference approach, I show that firms that previously employ heavy equipment within the production process increase their capital more than companies that do not. This result contributes to demonstrate that the tax acts as a direct tax on that part of business capital which is less fixed. In the second part, with Fuzzy difference-in-difference, I also investigate how increasing investments in capital determines positive effects on value added and profits for firms that employ heavy equipment, affected by the policy.
JEL Codes: H20, H25
Chaotic Particle Swarm Harris Hawk Optimization Algorithm for Feature Selection
Authors: Arora Varun , Agarwal Parul 
Published: December 2022

Abstract
In the real world, the majority of complex optimization problems cannot be solved using classical methods. With the emergence of the internet and internet-based applications, a large amount of data is been generated on daily basis, which may contain a large number of features. Big data problems not only include a large number of instances and dimensions but the irrelevance, redundancy and noisy features are their main concern too. All the features associated with the data are not important. The presence of such features deteriorates the performance of any classification algorithm. So, it becomes important to select the feature subset to enhance classification in low as well as high dimensional data. Nature-inspired algorithms are found to be effective in finding the solution to such problems. In the present paper, a binary version of the chaotic-based hybrid nature-inspired algorithm for feature selection is proposed. Here, we select the best subset of features by hybridizing the Particle Swarm Optimization (PSO) algorithm and Harris Hawk’s algorithm (HHO) with chaotic tent map. The convergence and diversification of proposed algorithm is accelerated. To enhance the exploration of search space for avoiding local optima, we incorporated chaotic random variables generated through tent chaotic map function. By hybridizing PSO with HHO, the exploitation of algorithm is improved. The performance of the proposed method has been tested with eight well-known state-of-art nature-inspired algorithms over fifteen small as well as high-dimensional datasets on different evaluation measures. The analysis shows that the proposed algorithm proves to be better in comparison to all the competing algorithms.
Telemedicine in primary care of older adults: Results of a multi-phase study
Authors: Khanassov Vladimir , Ruiz Ana Saavedra , Rojas-Rozo Laura , Ilali Marwa , Sourial Rosa 
Published: December 2022

Abstract

Background
The COVID-19 pandemic transformed the health care systems, motivating Telemedicine's rapid evolution and implementation. Telemedicine (TM) can potentially improve the quality of primary health care and increase accessibility to the population. Nevertheless, its use may represent a challenge to older people as they may have different needs from the general population due to potential age-related changes in perceptual, motor and cognitive capacities. We thus aimed to identify potential facilitators and barriers to Telemedicine (TM) use in the primary care of older adults and develop recommendations.
Methods
We conducted a multi-phase study: 1. A systematic mixed-method review to explore determinants in the use of TM for older adults for papers published before July 2021; 2. Qualitative descriptive study, we interviewed 29 older adults and conducted three focus groups and one deliberative dialogue with healthcare professionals from four McGill family medicine sites. The findings were analyzed using deductive thematic analysis based on the Consolidated Framework for Implementation Research (CFIR); 3. We integrated the results from both phases and the deliberative dialogue using thematic analysis.
Results
The systematic review identified over 3,328 references. We included 21 articles, resulting in positive experiences and high satisfaction and generating interest in TM as a complementary healthcare delivery model. Participants agreed that TM contributed to maintaining the continuity of care and was convenient when there is a previous/established patient-physician relationship and to resolve minor health issues. TM was beneficial for persons with limited mobility; and reduced the exposure of older adults to potential high-risk environments. Nevertheless, participants expressed concerns about the lack of visual contact, causing essential details to be overlooked. Similarly, miscommunication difficulties may emerge due to language or hearing barriers. Family physicians perceived that most patients did not consider phone consultations a medical act. However, participants were amenable to a hybrid approach, combining in-person consultations and Telemedicine, depending on their health conditions.
Conclusions
Older adults and healthcare professionals consider Telemedicine a good alternative for accessing healthcare services, though it would be necessary to promote a hybrid approach and encourage and support familiarization, adaptability, and accessibility to technological tools.
Prevention of in Situ Recurrence and Distant Metastasis in Feline Mammary Carcinoma Treated with Plasmonic Photothermal Therapy
Authors: Elsabagh Rasha H. , Farghali Haithem A. M. , Emam Ibrahim A. , Abdelrahman Hams , Ragab Eman , Nada Abdelfattah A. , Selim Salah. A. 
Published: December 2022

Abstract
Most of the felines with mammary carcinoma (MC) exhibit an aggressive metastatic phenotype. A slew of studies has implicated breast cancer stem cells (BCSCs) with the phenotypes CD44+/CD24- and/or CD133+ in the promotion of invasive and metastatic MC. Where BCSCs are resistant to conventional chemo- and radiotherapies, gold nanorods (AuNRs)-mediated plasmonic photothermal therapy (PPTT) selectively eradicates BCSCs. In this study, we investigated for the first time the anti-tumor activity of AuNRs PPTT by flow cytometry analysis (FCA) of the circulatory BCSCs in the PB of cats with spontaneous metastatic and non-metastatic forms of MC. The PPTT was applied either alone (GA = 7) or in combination with mastectomy (GB = 3). In one test, BCSCs were identified as CD133+, while in another, they were identified as a CD44+/CD24- combination. With a survival rate of 50%, the non-metastatic cats in GA revealed complete tumor ablation 6–8 weeks post-treatment and complete wound healing in GB, no in situ recurrence or distant metastasis over the observation period with a statistically significant drop in cBCSC counts (P = 0.00512). Lung metastasis persisted in metastatic cats in both groups with a statistically significant rise in cBCSC counts (P = 0.008). The prognostic significance cutoff values were >996 for (CD44+/CD24-) phenotypes and >110 for CD133+ cells. That implies that BCSCs are highly susceptible to PPTT in non-metastatic queens, unlike metastatic cats, and indicates the FCA of cBCSCs as an accurate and non-invasive method for therapy monitoring in FMC.
The biomarkers related to immune infiltration to predict distant metastasis in patients with breast cancer
Authors: Ren Chengsi , Gao Anran , Fu Chengshi , Teng Xiangyun , Wang Jianzhang , Lu Shaofang , Gao Jiahui , Huang Jinfeng , Liu Dongdong , Xu Jianhua 
Published: December 2022

Abstract
Background:The development of distant metastasis (DM) results in poor prognosis of breast cancer (BC) patients, however, it is difficult to predict the risk of distant metastasis.
Methods: differentially expressed gene (DEGs) were screened out using GSE184717 and GSE183947.GSE20685 were randomly assigned to the training and the internal validation cohort. A signature was developed according to the results of univariate and multivariate Cox regression analysis,which was validated by using internal and external(GSE6532) validation cohort. Gene set enrichment analysis (GSEA) was used for functional analysis.Finally, a nomogram was constructed and calibration curves and concordance index (C-index) were compiled to determine predictive and discriminatory capacity.The clinical benefit of this nomogram was revealed by decision curve analysis (DCA). Finally, we explored the relationships between candidate genes and immune cell infiltration, and the possible mechanism.
Results: A signature containing CD74 and TSPAN7 was developed according to the results of univariate and multivariate Cox regression analysis,which was validated by using internal and external(GSE6532) validation cohort. Mechanistically,the signature reflect the overall level of immune infiltration in tissues, especially myeloid immune cells. The expression of CD74 and TSPAN7 is heterogeneous, low expression levels of TSPAN7 is caused by methylation modification in breast cancer cells, which is negatively correlated with CD74 expression level.CD74 is mainly derived from myeloid immune cells and do not affect the proportion of CD8+T cells. This signature could act as an independent predictive factor in patients with BC (P = 0.01, HR = 0.63), and it has been validated in internal (P = 0.023, HR = 0.58) and external (P = 0.0065, HR = 0.67) cohort. Finally, we constructed a individualized prediction nomogram based on our signature. The model showed good discrimination in training, internal and external cohort, with a C-index of 0.742, 0.801, 0.695 respectively, and good calibration. DCA demonstrated that the prediction nomogram was clinically useful.
Conclusion: A new immune infiltration related signature developed for predicting metastatic risk will improve the treatment and management of BC patients
Evaluation of CMIP5 Decadal Precipitation at Catchment level
Authors: Hossain Md Monowar , Anwar A. H. M. Faisal , Garg Nikhil , Prakash Mahesh , Bari Mohammed 
Published: December 2022

Abstract
The fidelity of the decadal experiment in Coupled Model Intercomparison Project Phase-5 (CMIP5) has been examined, over different climate variables for different temporal and spatial scales, in many previous studies. Most of the studies were, however, for the temperature and temperature-based climate indices. A quite limited study was conducted on precipitation of decadal experiment and no attention was paid to a catchment level. This study evaluates the performances of eight GCMs (MIROC4h, EC-EARTH, MRI-CGCM3, MPI-ESM-MR, MPI-ESM-LR, MIROC5, CMCC-CM, and CanCM4) for the monthly hindcast precipitation of decadal experiment over the Brisbane River catchment in Queensland, Australia. First, the GCMs datasets were spatially interpolated onto a spatial resolution of 0.05o×0.05o (5 km×5 km) matching with the grids of observed data and then were cut for the catchment. Next, model outputs are evaluated for temporal skills, dry and wet periods, and total precipitation (over time and space) based on the observed values. Comparing the skills, models are divided into three categories (Category-I: MIROC4h, EC-EARTH and MRI-CGCM3; Category-II: MPI-ESM-LR and MPI-ESM-MR; and Category-III: MIROC5, CanCM4, and CMCC-CM). Three multi-model ensembles’ mean (MMEMs) are formed using the arithmetic mean of Category-I (MMEM1), Category-I and II (MMEM2), and all eight models (MMEM3). The performances of MMEMs are also assessed using the same skill tests and found MMEM2 performed best which suggests evaluating the models is an important step before the formation of MMEM using GCM models.
A literature review of methods for assessment of reproducibility in science
Authors: Nordling Torbjörn , Peralta Tomas Melo 
Published: December 2022

Abstract

Introduction: In response to the US Congress petition, the National Academies of Sciences, Engineering, and Medicine investigated the status of reproducibility and replicability in science. A piece of work is reproducible if the same results can be obtained while following the methods under the same conditions and using the same data. Unavailable data, missing code, and unclear or incomplete method descriptions are common reasons for failure to reproduce results.
Objectives: The motivation behind this review is to investigate the current methods for reproducibility assessment and analyze their strengths and weaknesses so that we can determine where there is room for improvement.
Methods: We followed the PRISMA 2020 standard and conducted a literature review to find the current methods to assess the reproducibility of scientific articles. We made use of three databases for our search: Web of Science, Scopus, and Engineering Village. Our criteria to find relevant articles was to look for methods, algorithms, or techniques to evaluate, assess, or predict reproducibility in science. We discarded methods that were specific to a single study, or that could not be adapted to scientific articles in general.
Results: We found ten articles describing methods to evaluate reproducibility, and classified them as either a prediction market, a survey, a machine learning algorithm, or a numerical method. A prediction market requires participants to bet on the reproducibility of a study. The surveys are simple and straightforward, but their performance has not been assessed rigorously. Two types of machine learning methods have been applied: handpicked features and natural language processing.
Conclusion: While the machine learning methods are promising because they can be scaled to reduce time and cost for researchers, none of the models reviewed achieved an accuracy above 75%. Given the prominence of transformer models for state-of-the-art natural language processing (NLP) tasks, we believe a transformer model can achieve better accuracy.
A Cost-effective Communication Model for Requirements Elictation in Global Software Development
Authors: Rauf Muhammad Aqib , Bibi Sarfraz , Ali Sadia 
Published: December 2022

Abstract
Requirement elicitation is an important activity performed during requirement engineering. Requirement elicitation becomes more significant in global software development. In global software development, effective communication among stakeholders required for better requirement elicitation. Time zone, cultural and language difference are factors which has strong influence on communication in global software development. These factors affect the timely coordination which might affects the quality of software. Researcher proposed communication models for requirement elicitation in global software development. The aim of this study is to critically review the existing communication models presented for requirement elicitation in global software development. This review will provide the publication trends, introductory overview, strength, and limitations of existing proposed communication model for requirement elicitation in global software development. Based on limitations we will propose new cost-effective communication model for requirement elicitation in global software development. Finally, a case study-based experiment will be performed to see the effectiveness of proposed techniques.
Proposal of one new order, two new families, nine new genera and seventy-eight new basidiomycetous yeast species isolated from China
Authors: Jiang You-Liang , Bao Wen-Jing , Wang Gui-Shuang , Wang Man-Man , Zhao Wei-Na , Li Yao-Yao , Liu Fei , Chen Xiu-Hao , Li Ai-Hua , Wang Qi-Ming 
Published: December 2022

Abstract

More than 2,000 yeast strains isolated from 1200 samples mostly collected from Tibet and Yunnan provinces were identified as 466 species according to the internal transcribed spacer including the 5.8S rDNA (ITS) and the D1/D2 domains of the large subunit rDNA (LSU) sequence analyses. Among them, 78 new basidiomycetous yeast species were proposed based on the multi-locus phylogenetic analyses including the D1/D2 domains, the ITS, the small subunit rDNA (SSU), the largest subunit of RNA polymerase II (RPB1), the second largest subunit of RNA polymerase II (RPB2) and translation elongation factor 1-α (TEF1), as well as the phenotypic comparisons. Fifty-three new species belong to 17 genera in the Agaricomycotina, 19 new species occur in 12 genera in the Pucciniomycotina and six new species distribute in four genera in the Ustilaginomycotina, and eleven new species were classified in nine newly established genera. Two new families and one new order were also proposed based on two of these new genera. The genus Guomyces and the species Guomyces nicotianae were validated.
Changes in postural sway and cortical activities after napping
Authors: Lin Chun-Ling , Lou Shu-Zon , Chen Hui-Ya 
Published: December 2022

Abstract
Some falls occur immediately after waking, and the underlying mechanisms might include the need to recalibrate the sensory organization system. This study aimed to examine the changes in postural sway and associated cortical activities immediately after waking from a nap. A convenience sample of young adults (7 males and 5 females, 21.0 ± 2.3 year.) was recruited. Before and after a 50-min nap, participants were asked to stand quietly with eyes open/closed on a firm/foam surface, and electroencephalography (EEG) in alpha, beta, and gamma bands in sensory association areas was recorded. The results showed larger postural sway in the foam than in the firm condition (F3,33 = 59.828, p < 0.001) and less sway after sleep (F1,11 = 8.545, p = 0.014). There was also an increased frequency of postural sway after sleep in the eyes-open condition but a decreased frequency after sleep in the eyes-closed condition (F3,33 = 5.031, p = 0.006). The EEG results revealed decreased activity in the alpha (F1,9 = 15.540, p = 0.003) and gamma (F1,9 = 6.626, p = 0.030) bands in the right parietal area after sleep, and increased beta power in the left occipital area (Z = -2.241, p = 0.025). In conclusion, after waking from a nap, healthy adults showed decreased postural sway through the strategy of increased changes in direction of postural sway in eyes-open conditions. The EEG results suggested a lack of efficacy in dealing with sensory challenges in standing balance tasks after sleep.