bluuebunny/crossref_metadata_2025_split huggingface dataset:
Geschlechtersensibler Sprachgebrauch im Wahlkampf? Eine diachrone Analyse von TV-Duellen in Deutschland
Authors: Schneider Jan Georg , Albert Georg , Bast Jennifer , Maier Jürgen 
Published: February 2022

AbstractIn the last years, gender-sensitive language use has become an important issue of public debate in Germany and many other countries. The generic use of masculine forms in particular has been widely criticised. How, for example, public figures and politicians, both in government and of the opposition, refer to groups comprised of diverse genders is therefore scrutinised by the general public and routinely commented on in the media. In this paper, we analyse the language use of candidates for German chancellor and federal state prime minister, respectively, in televised pre-election debates – i. e. the most important single campaign event – from 1997 to 2020. Focussing on references to voters (Wählerinnen[FEM] orWähler[MASC]) and to citizens (Bürgerinnen[FEM] orBürger[MASC]), we quantitatively investigate the following research questions: Has the use of gender-sensitive expressions increased over the years? Are female candidates more likely to use gender-sensitive language than male candidates? Is there a preference for gender-sensitive language (as opposed to using the generic masculine) among candidates on the left of the political spectrum compared to conservative candidates?
Effect of oligosaccharides on the antioxidant, lipid and inflammatory profiles of rats with streptozotocin-induced diabetes mellitus
Authors: Boyanov Krasimir O. , Choneva Mariya A. , Dimov Ivica , Dimitrov Iliyan V. , Vlaykova Tatyana I. , Gerginska Fanka D. , Delchev Slavi D. , Hrischev Petar I. , Georgieva Katerina N. , Bivolarska Anelia V. 
Published: February 2022

Abstract
Prebiotics, gut microbiota-fermentable substances, delay the development of type I diabetes. In the present study, we investigated the effect of two prebiotics (galacto-oligosaccharides and xylo-oligosaccharides) on the antioxidant protection, lipid profile, and inflammatory activity of rats with streptozotocin-induced diabetes. The following markers were studied – malondialdehyde, 8-hydroxy-2′-deoxyguanosine, ferric reducing ability of plasma (FRAP), triacylglycerols, total cholesterol (TC), high-density lipoproteins, C-reactive protein (CRP), and interleukin-6. Diabetes was induced in male Wistar experimental rats by streptozotocin injection, while the non-diabetic controls were injected with saline. Afterward the oligosaccharides were administered orally to the experimental animals. The blood collected following the decapitation was analyzed by ELISA. A modified protocol was used only for measuring the FRAP values. The galacto-oligosaccharides and xylo-oligosaccharides lowered the malondialdehyde levels in the diabetic rats (p < 0.05). The galacto-oligosaccharides decreased the serum levels of 8-hydroxy-2′-deoxyguanosine (p = 0.01), while the xylo-oligosaccharides increased the FRAP (p < 0.05) in the experimental animals. None of the oligosaccharides affected triacylglycerol and interleukin-6 concentrations, but the galacto-oligosaccharides decreased the TC and CRP levels in the diabetic animals. Both oligosaccharides exert a beneficial effect on the antioxidant protection of the diabetic rats, but have a minor effect on their lipid and inflammatory profiles.
The Policy Implementation Of Social Ministry’s Cash Assistance Program During The Covid-19 Pandemic In Jakarta
Authors: Rulandari Novianita , Natision Alian , Esien Eddy Bruno , Kesmawan Andri Putra 
Published: February 2022

The Ministry of Social’s Cash Social Assistance Policy is one of the Government’s programs to maintain the purchasing power of people directly affected by the COVID-19 pandemic. The purpose of this study is to analyze and evaluate the implementation of cash social assistance policies during the COVID-19 pandemic, analyze the factors that hinder the successful implementation of cash social assistance policies during the COVID-19 pandemic, and analyze the factors that support the social assistance policies during the COVID-19 pandemic. The research method used was descriptive qualitative. Informants in this study were bureaucrats, policy implementers, and the community as beneficiaries. This study found non-compliance with policy implementers in the standard and policy targets by deliberately violating them for certain benefits. Factors inhibiting cash assistance policy implementation include ineffective and inefficient policy output to target intended beneficiaries, lack of recipient’s name in the Integrated Social Welfare Data (DTKS), inaccurate redistribution of social assistance benefits, and inappropriate use of social assistance funds to purchase non-basic needs. Supporting factors are strict government supervision and evaluation monitoring on the use of social assistance funds that may reduce cash transfer and impair intended beneficiaries’ access to scarce resources in times of contemporary COVID-19 pandemic crisis-related society.
How Do Local Governments cope with COVID-19? Comparative Experiences in Three Southeast Asian Cities
Authors: Al-Hamdi Ridho , Manaf Halimah Abdul , Naprathansuk Non , Swarga Alim Bubu 
Published: February 2022

This paper is aimed to investigate strategies of Southeast Asian local governments in addressing the COVID-19 situation by applying the framework of good governance principles and, in turn, to figure out the determinant factor of the successful strategy in each country. It is qualitative research by applying multiple cases of three cities in Southeast Asian countries, i.e., Indonesia, Malaysia, and Thailand. For data gathering, it takes relevant sources of News channels, whether in English or local languages of those countries. The finding demonstrates that Indonesia, Malaysia, and Thailand can adopt all principles of good governance in addressing the COVID-19 pandemic situation. Nevertheless, each country has its determinant factor of the successful strategy in handling a such situation. Indonesia is more excellent in the implementation of transparency, Malaysia has a well performance in the operation of participation, while Thailand is more successful in the application of accountability. These depict that each state has a typical strategy in coping with this global pandemic situation.
The Effectiveness of the Minimal Pairs Technique in Learning Japanese Pronunciation
Authors: Wahyuni Yuli , Indraswari Thamita Islami 
Published: February 2022

Distinguishing and pronouncing the sound of sha, sa, ja, za, tsu, double sounds, long sounds, nasal sounds, and youon sounds are still considered difficult for Japanese learners; it is becoming a problem because when the learners cannot distinguish the correct sounds in Japanese, it will result in an inability to pronounce and write Japanese sounds correctly. This study has tested the effectiveness of the minimal pairs technique in learning Japanese pronunciation and the learners's response to the technique. The research employed a quasi-experimental quantitative method by applying the minimal pairs technique to learn Japanese pronunciation in one class, Japanese level N5 or beginner level. The comparative statistical calculation result showed that the Minimal Pairs model is effective in improving Japanese pronunciation in long vowels, double consonants, semi-vowel sounds, tsu sounds, nasal sounds, and also helped the learners’ to understand differences in sa and sha line sounds and the difference between the sounds of the za and ja lines. The questionnaire result showed that the learners feel that the technique is quite tedious, but on the other hand, the technique is beneficial for them in learning and practicing Japanese pronunciation.
Spatial analysis and mapping of the groundwater quality index for drinking and irrigation purpose in the alluvial aquifers of upper and middle Cheliff basin (north-west Algeria)
Authors: Madene Elaid , Boufekane Abdelmadjid , Meddi Mohamed , Busico Gianluigi , Zghibi Adel 
Published: February 2022

AbstractThe proposed study aims to assess groundwater quality and suitability of the Upper and Middle Cheliff plains (northwest of Algeria) for irrigation and drinking. Here the groundwater is the main source for domestic, agricultural and industrial activities similarly to any other region of the world. The suitability for drinking and for irrigation was evaluated on the basis of water quality index, salinity risk, hardness risk, sodium risk, magnesium risk, permeability index, water infiltration rate, Kelly index and Wilcox and Richards diagrams. The aquifer system is mainly composed of alluvium (gravel, sand, silt, clay, …) from the Mio-Plio-Quaternary. The results of this study highlighted that the majority of the chemical elements analyzed exceed the WHO's drinking water standards and FAO's irrigation water standards. Based on the GroundWater Quality Index (GWQI) results, the Upper and Middle Cheliff groundwater plains shows Doubtful class in most of the plains. In addition, the GroundWater Quality Index for Irrigation (GWQII) shows the predominance of the Good/Permissible groundwater quality class in most of the plains. According to these results, drinking water can cause health problems (a danger) for the human consumption making necessary a proper treatment be able to use it. As for irrigation water, it does not present a danger for irrigating for the vast fields of the region, with the exception of sensitive crops such as: garlic, onion, beans and strawberry. The proposed approach demonstrated to be appropriate in assessing the groundwater quality for irrigation and drinking water supply since it can be easy applicable and suitable in humid, arid or semi-arid regions around the world.
Development and Evaluation of an Innovative Web-Based Training, Learning, and Sharing Platform for Social Workers (Hong Kong Jockey Club SMART Family-Link Project): Mixed Methods Evaluation Study
Authors: Suen Michelle Man Tung , Lai Agnes Yuen Kwan , Wang Man Ping , Ho Daniel Sai Yin , Lam Tai Hing 
Published: February 2022

Background
Information and communication technology (ICT) use may enhance social work practice and continuous professional development. Under the Hong Kong Jockey Club SMART Family-Link Project, we developed an innovative web-based training, learning, and sharing platform (i-TLS) to support not only ICT and other learning needs of Hong Kong social workers but also their practice.

Objective
We developed i-TLS with 3 major components (i-Training, i-Learning, and i-Sharing) and assessed its acceptability and impact on facilitating ICT use in family services.

Methods
We described the i-TLS development based on a 4-phase model and evaluated i-TLS using the platform database, Google Analytics, a self-administered survey, and individual phone interviews 1 year after launching.

Results
i-TLS was launched in 12 nongovernmental organizations on July 1, 2019. The COVID-19 outbreak in December 2019 limited face-to-face services, which galvanized digital transformation in social work practice. By July 31, 2020, 313 social workers had registered with i-TLS. Approximately 79.6% (249/313) of users accessed i-TLS at least once in the past 28 days, averaging 3.2 (SD 1.35) platform visits per day and viewing 4.8 (SD 1.42) pages per visit. i-Training provided 41 mini-modules on applying ICT to family services, with 730 enrollments. Approximately 70% (511/730) of users completed the mini-modules and obtained digital mini-certificates. i-Learning provided 112 items of learning resources centered on ICT use in family services, with nearly 4000 page views. i-Sharing had 25 discussion threads with 59 posts. Approximately 53.7% (168/313) of users completed the 1-year evaluation survey, including 7.1% (12/168) who were phone interviewed. The mean i-TLS satisfaction score (out of 10) increased from light (4.99, SD 1.54) to occasional (6.15, SD 1.34) and frequent (6.31, SD 2.29) users. Frequent users showed higher scores (out of 10) than light users for an increase in knowledge (5.84, SD 1.34 vs 4.09, SD 1.74; P<.001), self-efficacy (5.23, SD 1.92 vs 3.96, SD 1.77; P=.02), and knowledge application (6.46, SD 1.33 vs 1.91, SD 1.40; P<.001). Interviewees reported increased ICT use in services and considered i-TLS an acceptable and supportive tool for learning and practice, especially during the pandemic.

Conclusions
i-TLS is acceptable to social workers and enhances their learning and use of ICT in family services. This was achieved through access to self-directed and collaborative learning and sharing of experiences within their practice. Further research on enhancing web-based platforms is needed to expand participation and capacity building among social workers and other health and social care professionals.
Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review
Authors: Sharifi-Heris Zahra , Laitala Juho , Airola Antti , Rahmani Amir M , Bender Miriam 
Published: February 2022

Background
Preterm birth (PTB), a common pregnancy complication, is responsible for 35% of the 3.1 million pregnancy-related deaths each year and significantly affects around 15 million children annually worldwide. Conventional approaches to predict PTB lack reliable predictive power, leaving >50% of cases undetected. Recently, machine learning (ML) models have shown potential as an appropriate complementary approach for PTB prediction using health records (HRs).

Objective
This study aimed to systematically review the literature concerned with PTB prediction using HR data and the ML approach.

Methods
This systematic review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. A comprehensive search was performed in 7 bibliographic databases until May 15, 2021. The quality of the studies was assessed, and descriptive information, including descriptive characteristics of the data, ML modeling processes, and model performance, was extracted and reported.

Results
A total of 732 papers were screened through title and abstract. Of these 732 studies, 23 (3.1%) were screened by full text, resulting in 13 (1.8%) papers that met the inclusion criteria. The sample size varied from a minimum value of 274 to a maximum of 1,400,000. The time length for which data were extracted varied from 1 to 11 years, and the oldest and newest data were related to 1988 and 2018, respectively. Population, data set, and ML models’ characteristics were assessed, and the performance of the model was often reported based on metrics such as accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve.

Conclusions
Various ML models used for different HR data indicated potential for PTB prediction. However, evaluation metrics, software and package used, data size and type, selected features, and importantly data management method often remain unjustified, threatening the reliability, performance, and internal or external validity of the model. To understand the usefulness of ML in covering the existing gap, future studies are also suggested to compare it with a conventional method on the same data set.
Robotic Process Automation (RPA) Implementation Case Studies in Accounting: A Beginning to End Perspective
Authors: Zhang Chanyuan , Issa Hussein , Rozario Andrea , Soegaard Jonas Sveistrup 
Published: February 2022

SYNOPSIS
Robotic process automation (RPA) possesses several features that may give rise to similar but also new adoption effects (both benefits and challenges) relative to other information technology (IT) implementations. Our study adds to the accounting and emerging technologies literature by examining the beginning to end process through which RPA is implemented in the accounting function. We adopt an exploratory and case-centered research methodology based on a mature RPA implementation in an accounting setting. We further corroborate it with interviews with subject matter experts and compare it with another case study of an early-stage RPA implementation. We identify five themes related to RPA adoption in accounting functions: workforce, IT governance, privacy and security, system sustainability, and the measurement of RPA success. We also present key takeaways that may support effective RPA adoption in accounting. Our study provides both academics and practitioners with insights about the effects of RPA implementation.
The Impact of CSR on Employee Performance: With The Mediation of Employee Trust and Employee Behavior (A Case Study of Companies in Bekasi and Jakarta)
Authors: Setyaningrum Retno Purwani , Haryono Tulus 
Published: February 2022

The Researches on Corporate Social Responsibility (CSR) tends to focus on stakeholders and external outcomes. The impact of CSR on employee performance is still rarely discussed in many studies. This study aims to determine how the impact of CSR affects employee performance and the role of employee trust and employee behavior as a mediator at 3 companies in Bekasi and Jakarta. Every company has a responsibility to develop its environment through social programs. The research questions in this study are: (1) The impact of CSR on Employee performance, (2) The impact of CSR on employee trust (3) The impact of employee trust on employee performance (4) The impact of CSR on employee behavior (5) The impact of employee behavior on employee performance. The sample used in this study was 246 employees from companies in Bekasi and Jakarta District. Data collection method used in this study was questionnaire and forum group discussions (FGD), while analytical method used was SEM Warps PLS.The findings of this study indicate that CSR does not impact directly the employee performance. The CSR indicator that needs to be considered is ethical, where the companies are suggested to have a CSR department. Where employees have lack knowledge about environmental work, environmental laws regarding material sources, emissions, and so on. So that employees realize and understand the importance of having attention and responsibility to the environment. CSR has a significant impact on employee trust, employee trust has a significant impact on employee performance, CSR has a significant impact on employee behavior, and employee behavior significantly impact employee performance. Employee trust and employee behavior mediate the impact of CSR on Employee performance.Keywords: CSR, employees trust, employee behavior, employee performance
Indonesian Tourism Demand Forecasting using Time Series Approach to Support Decision Making Process
Authors: Friscintia Putu Bella Ayastri 
Published: February 2022

Tourism industry is always growing dan uphold an important role in national economy as the second largest portion of foreign exchange contributor, as well as its role in national employment. In improving tourism industry, forecasting is needed to anticipate the perishable nature of tourism. Therefore, an accurate forecasting is needed as the baseline of strategic resource planning in order to maximize the utilization dan efficiency of the available resources. The objective of this research is to build an accurate model that is able to forecast Indonesian tourism demand. This research use ARIMA algorithm to forecast the arrivals of tourist. The result of this paper is a time-series model for tourist arrivals in Indonesia Keywords: Tourism, Demand Forecasting, ARIMA, Indonesia.
The Effects of Hosting Events on Destination Branding: Dubai Expo 2020
Authors: Sharma Sarthak , Stranjančević Ana , Kleber Daniel Marco-Stefan 
Published: February 2022

Background - This paper evaluates the effects of events on the destination brand of Dubai as it prepares to host the Expo 2020. Destination branding assists in understanding the city’s strong “assets” and their impact on the upcoming Expo.Purpose – The purpose of the study is to understand how large events impact development of a city’s brand. Based on the results, conclusions can be made on whether the efforts for the Expo will have a lasting impact on Dubai’s destination brand.Methodology – The methodology acquires information about the effects of hosting events on Dubai’s destination brand through the analysis of the Expo 2020. Primary research, primarily in-depth interviews, bring perspective from industry professionals about destination branding, event management, and their economic implications. The Tourism Area Life Cycle (TALC) and other comparative models are utilized to understand correlations and applications to the Expo 2020.Findings – The paper considers the preliminary efforts of Dubai indicating the increased opportunities in the city and excitement in the global community. The results highlight that the successful initiation of Expo 2020 would display Dubai’s capability of hosting events, differentiating it from other cities, and presenting a positive outlook for the economy. Areas that will experience growth include Dubai as a major event venue, a major tourist destination, and an economic hub in the region.Research limitations – This study has been conducted before the official commencement of the Expo 2020 and therefore it gives a “before the event” perspective only. It could be improved by assessing the visitor interest and attitudes after the event and making cause and effect models to develop comprehensive conclusions about the impact.Originality/value – There are limited studies on this topic as World Expos are major events occurring in select cities with economic and infrastructural capabilities. The current research on the impact of events mainly focuses on sports or festivals. Expo 2020 has great importance to Dubai due to its economic and destination brand implications, confirming the uniqueness of the research. Based on the results, future studies can assess large-scale events around the world, present accurate information on the impacts of expos, and enrich destination branding studies.Keywords: Dubai, Destination Branding, Events, Expo 2020, World Expo
Employees’ Perceptions of Work Attire in the Workplace, Does It Matter?
Authors: Wardhana Daniel Yudistya , Harsono Harsono 
Published: February 2022

Wearing working dress in the workplace is considered as a representation of the organization culture, work attire becomes an important factor for the employees in a workplace. The types of work attire depend on the policy and the type of the organization even though there is no certain regulation on uniform in the workplace. This study is conducted to identify the impact of employees’ attire (formal and casual) on the employees’ self-perceptions of creativity, productivity, friendliness, trustworthiness and authoritativeness and competence. This study was held in Yogyakarta. The respondents varied from the employer to the employees, with total of 147 respondents. This study found that the characteristics and the appearance of the uniform significantly affect employees’ attitude towards the job while attribute function did not seem toaffect employees’ attitude towards job.
The Effect of Campus Environment towards the Learning Motivation
Authors: Hidayat Vinny Stephanie , Debbianita Debbianita , Wijaya I Nyoman Agus , Dewi Sherin Ivana 
Published: February 2022

The aim of this research is to determine the effect of Campus Environment (Physical and Non-Physical Environment) towards the learning motivation of students at Maranatha Christian University. The population of this research is the whole of accounting students at Maranatha Christian University. The sample of this research is 91 accounting students at Maranatha Christian University. The method used in this research is explanatory research, and the sampling method used is judgment sampling method. T-test and F test are used for Research hypothesis testing and SPSS version 20.0 is used for multiple regression analysis. The result of this research shows that College Environment affects the student’s motivation of studying, thus, the hypothesis of this research is empirically supported.Keywords: campus environment, motivation of studying, internet Access, physical and non-physical environment