bluuebunny/crossref_metadata_2025 huggingface dataset:
Employers’ Perception and Practice of Workplace Violence Prevention at Healthcare Facilities Questionnaire: A Confirmatory Factor Analysis
Authors:   Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Mohamad Yazid Mohd Nizam , Nik Husain Nik Rosmawati ,   Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Daud Aziah ,   Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Osman Yelmizaitun ,   Kelantan State Health of Department, Kelantan, Malaysia, Mustapa Normazura ,   Melaka State Health of Department, Melaka International Trade Centre, Melaka, Malaysia, Abdul Hadi Azlihanis ,   Ministry of Health Malaysia, Federal Government Administrative Centre, Putrajaya, Malaysia
Published: November 2023

Background: Workplace violence prevention initiatives are undeniably lacking in healthcare facilities. The aim of this study was to validate a newly developed questionnaire and assess employers’ perceptions and practices towards workplace violence prevention at healthcare facilities. Methods: A cross-sectional study was conducted from October 2021 to November 2021 by recruiting 333 employers at healthcare facilities in Kelantan, Malaysia. The original draft of the Malay version of the questionnaire comprised 62 items constructed under two domains (perception and practice). A confirmatory factor analysis was conducted to evaluate construct validity and internal consistency using R software. Results: The final model for the perception and practice domain of the questionnaire consisted of 13 factors and 56 items. The factor loadings for all items were above 0.6. The fit indices used for confirmatory factor analysis in the final model were as follows: χ2 = 2092.6 (P < 0.001), standardised root mean squared residual (SRMR) = 0.053, root mean square error of approximation (RMSEA) = 0.042, comparative fit index (CFI) = 0.928 and Tucker Lewis index (TLI) = 0.920. The construct reliability for all factors was reliable, with Raykov’s rho coefficients above 0.70. Conclusion: The newly developed questionnaire demonstrated excellent psychometric properties and adequate validity and reliability, confirming that this instrument is reliable and valuable for evaluating employers’ perceptions and practices towards workplace violence prevention at healthcare facilities.
Što je metafizika?
Authors: Berčić Boran
Published: November 2023

Autor u ovom članku razmatra pet osnovnih shvaćanja metafizike kao filozofske discipline koja 1) proučava najopćenitije karakteristike svega što jest, 2) istražuje biće kao biće, 3) razmatra ono što prelazi okvire iskustva, 4) analizira najopćenitije pojmove i 5) pruža eksplanatornu teoriju. Pored toga, autor razmatra i niz relevantnih ideja i distinkcija, razliku između stvarnosti i pojave, podjelu na pojavnu i znanstvenu sliku svijeta (Wilfrid Sellars), ideju da je filozofija kraljica znanosti (Moritz Schlick), podjelu na deskriptivnu i revizionističku metafiziku (Peter Frederick Strawson), sinoptičko gledište, ideju naturalizirane metafizike itd. Autor prihvaća prvo gledište, ono po kojemu je metafizika shvaćena kao filozofska disciplina koja proučava najopćenitije karakteristike svega što jest, i skukladno tome smatra da se kategorijalna ontologija najbolje uklapa upravo u tu sliku. Autor nakon toga ukratko izlaže najpoznatije kritike metafizike (David Hume, Immanuel Kant i logički pozitivisti), kao i stavove koji su doveli do formiranja suvremene metametafizike (Rudolf Carnap i Willard Van Orman Quine). Naposljetku, autor razmatra verbalizam i trivijalizam te nastoji utvrditi mogu li ove dvije pozicije predstavljati osnovu za eliminaciju metafizike. Autor nastoji pokazati da ove pozicije ne eliminiraju metafiziku, već da radije zadaju okvir za suvremene metafizičke rasprave.
Comprehensive evaluation of watershed ecohydrological risk and ecohydrological satisfaction characteristics from the perspective of hydrological variability
Authors: Yang Huan , Guo Wenxian , Ju Junyan , Zhou Haotong , Bai Xiangyu , Wang Hongxiang
Published: November 2023

This study quantifies the degree of hydrological regime alteration in the middle and lower reaches of the Yangtze River (MLYR) by incorporating the indicators of hydrologic alteration (IHA) along with six additional indicators. The ecohydrological risks are analyzed using the eco-surplus and eco-deficit indicators. Furthermore, the ecohydrological satisfaction index (ESI) is proposed to characterize the degree to which hydrological conditions meet the eco-water demand of rivers. The results indicate that the concentration period is delayed, and the complexity of hydrological processes is increased in the MLYR. Regarding the variability of hydrological conditions, except for Datong station with a change degree below 0.5, the other stations have experienced high changes. At the annual scale, the eco-surplus and eco-deficit of the MLYR basin have changed with the alteration degree of 0.41 and 0.37, respectively, and the eco-deficit of the mainstream exceeds the eco-surplus, indicating high ecohydrological risks. The ESI at Yichang station has significantly decreased, with the most pronounced decrease occurring in February (−0.35). The ESI of tributaries in the MLYR remains stable, with periods when the ESI at Huangzhuang station exceeds 0.8 accounting for more than 80% of the period from 2004 to 2021.
A comprehensive review of climate change's imprint on ecosystems
Authors: Pandit Jyotsana , Sharma Anish Kumar
Published: November 2023

In the 21st century, climate change, which is predominantly caused by human activities, has emerged as a major global concern. This paper examines in depth the profound and multifarious effects of climate change on ecosystems and the ecosystem services they provide. It further investigates the complex connections between climate change and ecosystems, focusing on terrestrial, aquatic, and marine habitats. Notably, we emphasize the unique challenges confronting ecosystems in Southeast Asia, a region of ecological significance where the ocean economy is fundamental to human livelihoods. Climate change threatens ecosystem services in numerous ways, including the provision of food and water, climate regulation, nutrient cycling, and cultural importance. We emphasize the potential transformation of ecosystems from carbon sinks to carbon sources, which has implications for climate control. Moreover, changes in disease vectors and altered landscapes raise concerns for human health and cultural traditions. We emphasize the importance of international cooperation, as exemplified by the Paris Agreement, in mitigating climate change collectively. In addition, we advocate for the inclusion of indigenous communities and traditional ecological knowledge in conservation and restoration initiatives. This paper concludes by emphasizing the profound interdependence between ecosystems and human well-being and the urgency of taking action.
Energy-efficient Approach to Multicomponent Reaction for the Synthesis of
Therapeutically Relevant Heterocycles
Authors: Roy Ritwik , Kumar Rahul , Ansari Md. Nurul , Deshmukh Gauri S. , Rai Animesh Kumar , Tripathi Garima , Kumar Abhijeet
Published: November 2023

Multi-component reactions have been used as an important synthetic strategy for the synthesis of diverse varieties of therapeutically useful heterocyclic scaffolds. High atom economy, one-pot reaction, and involvement of synthetically simple steps are some of the interesting features that make MCRs greener compared
to conventional methods. The development of environmentally benign and eco-friendly synthetic methods has
been a very demanding area of research in the past few decades. In particular, the development of energyefficient methods has attracted the attention of the research community due to heavy dependence on nonrenewable energy resources, which is depleting fast. Therefore, the present review has highlighted the multicomponent reactions developed under the energy efficient protocol, which mainly include the reactions developed under the microwave, ultra-sonication, mechano-chemical, and photochemical reaction conditions for the
synthesis of therapeutically relevant heterocycles.
Origin Identification of Astragalus membranaceus Based on Electrochemical
Oscillating Fingerprint
Authors: Feng Zufei , Yang Qian , Wang Haixiu , Hu Yangfan , Fan Hua , Zou Yiming , Zhao Yingjuan , Yan Yinglin , Yang Rong , Wu Na
Published: November 2023

Background::

Astragalus, as a common traditional Chinese medicine (TCM), has many
pharmacological effects, such as protection of nerves, heart, blood vessels, kidneys, etc. It can also
be used to treat colds, numbness, diarrhea, indigestion, and anemia. Because of the current market,
there are a large number of synonyms, synonyms, and multiple sources of one medicine. The use of
near-edge plants in medicine and other fake, substandard as a good phenomenon also prevails.

Methods::

In this study, a method combining electrochemical fingerprinting with SPSS software was
developed to identify the origin of Astragalus membranaceus. The electrochemical fingerprints of
Astragalus membranaceus with different accessions and different origins were examined using an
electrochemical workstation. Then the characteristic parameters were selected to achieve the origin
identification of Astragalus with SPSS software using cluster analysis and discriminant analysis.

Results::

The results of this method divided the origin of Astragalus into the Qinling production area
and other production areas.

Conclusion::

This method can be used to identify the origin of Astragalus membranaceus, which provides
a new method to identify Astragalus membranaceus and other TCM without extracting the active
ingredients of Chinese medicines, in line with the traditional "holistic" treatment concept of TCM.
Neonatal Microbiome: Is it Still Beneficial?
Authors: Shawky Elfarargy Mohamed , Hamdy Elbadry Dalia , Ahmad Ahmad Roshdy , Elhady Hany A.
Published: November 2023

abstract:

The neonatal microbiome includes all the microorganisms living within or on the
surface of the newborn, as well as their genes (i.e., bacteria, fungi, and viruses), which are composed
mainly of bacteria. The majority of these microorganisms reside in the gastrointestinal
tract (GIT), which is known as the gut microbiome. They include trillions of microbes, which
exceed the total number of neonate cells. In this study, we have examined factors affecting neonatal
microbiome colonization, various phyla of the microbiome in neonates, and their characteristics.
In addition, we have discussed symbiosis and dysbiosis, precipitating diseases, breast
milk’s role in the neonatal gut microbiome, prebiotics, probiotics, postbiotics, and synbiotics, as
well as the airway or respiratory microbiome, and the main role of the neonatal microbiome. We
have also discussed neonatal mycobiome and neonatal virome, as well as the research done on
the neonatal microbiome.
All-trans Retinoic Acid Increased Transglutaminase 2 Expressions in BV-2 Cells
and Cultured Astrocytes
Authors: Takano-Kawabe Katsura , Izumo Tatsuhiko , Minamihata Tomoki Minamihata , Moriyama Mitsuaki
Published: November 2023

Background::

Activation of microglia and astrocytes has been observed in Alzheimer’s disease (AD). Transglutaminase 2 (TG2) is reported to be activated in AD
and involved in cell proliferation, differentiation, and inflammation. Moreover, amyloid β (Aβ) aggregation is detected as a characteristic
pathology in the AD brain, and is known to be a substrate of TG2. All-trans retinoic acid (ATRA) can modify cell proliferation and differentiation,
and is reported to have therapeutic effects on AD pathology.

Objective::

We aimed to assess the effects of ATRA in microglia and astrocytes on TG2 expression and glial functions.

Methods::

After treatment with ATRA, TG2 expression and TG activity were assayed in both murine microglia BV-2 cells and cultured rat brain astrocytes.
Endocytosis activity in BV-2 cells and Aβ aggregation by astrocytes conditioned medium were also assessed.

Results::

In both BV-2 cells and cultured astrocytes, ATRA increased TG2 expression and TG activity. The increase was blocked by AGN194310, an RA
receptor antagonist. ATRA enhanced the endocytosis activity in BV-2 cells, and the addition of AGN194310 reversed it. The addition of
cystamine, a competitive TG inhibitor, also reduced ATRA-enhanced endocytosis activity. On the other hand, Aβ aggregation was potentiated by
ATRA-treated astrocytes conditioned medium compared to control astrocytes conditioned medium.

Conclusion::

These results suggest that ATRA increased TG2 expression and TG activity via RA receptor in microglia and astrocytes. ATRA-enhanced TGs
might be involved in phagocytosis and Aβ aggregation. Adequate control of TGs expression and function in microglia and astrocytes can be an
important factor in AD pathology.
Kluczowe czynniki brane pod uwagę przy wyborze studiów na podstawie analizy fraz wyszukiwanych w Google
Authors: Ciechanowski Patryk , Sarbinowski Alan
Published: November 2023

Pojawienie się Internetu to nie tylko postęp w zakresie technologii. To także rozwój i otwarcie nowych dróg do analizy potrzeb konsumentów. Jednym z najistotniejszych kanałów nowoczesnego marketingu jest niewątpliwie wyszukiwarka Google, a widoczność w wynikach wyszukiwania to często kluczowy aspekt, decydujący o sukcesie działań promocyjnych. Możliwości analizy fraz wpisywanych przez użytkowników wyszukiwarek daje szeroki obraz ich potrzeb i pragnień. Niniejszy artykuł, dzięki analizie fraz kluczowych wpisywanych przez osoby poszukujące studiów za pośrednictwem internetu wskazuje, jakie czynniki są dla nich istotne i co w dużej mierze decyduje o wyborze konkretnego kierunku i uczelni. W opracowaniu przybliżono system działania wyszukiwarki Google oraz zintegrowanych z nią systemów reklamowych i narzędzi analitycznych. Następnie odniesiono się do teorii podejmowania decyzji konsumenckich. Część empiryczna to analiza fraz wpisywanych w wyszukiwarce internetowej. Dane pochodziły z dwóch narzędzi: Google Search Console oraz systemu reklamowego Google Ads i dotyczyły strony Państwowej Uczelni Zawodowej we Włocławku (obecnie Państwowej Akademii Nauk Stosowanych we Włocławku).
Działania marketingowe w Internecie w dobie pierwszej fali pandemii COVID-19 w sektorze MSP w Polsce
Authors: Lewandowski Mariusz
Published: November 2023

Rozwój pandemii COVID-19 skłonił rządy na całym świecie do podjęcia działań ograniczających rozprzestrzenianie się wirusa Sars-Cov-2, a wprowadzone ograniczenia okazały się dużym zaskoczeniem dla wszystkich uczestników rynku. Niepewność działania, ograniczenia wydatków przez konsumentów, a nawet całkowite zakazanie możliwości stacjonarnej działalności – to wyzwania, z którymi musiały zmierzyć się przedsiębiorstwa na początku 2020 roku. Pandemia w jeszcze większym stopniu wpłynęła na zachowania konsumenckie – klienci częściej dokonywali zakupów za pośrednictwem Internetu, stając się tym samym e-konsumentami. Celem artykułu jest zdefiniowanie praktyk podejmowanych przez małe i średnie przedsiębiorstwa w zakresie działań marketingowych w Internecie w pierwszych miesiącach po wybuchu pandemii COVID-19 w Polsce oraz określenie efektów tych działań. Przedstawione wyniki badania inspirują do dalszych poszukiwań w zakresie rezultatów, jakie prowadzenie działalności marketingowej w Internecie może przynieść przedsiębiorstwom z sektora MSP.
Genderview Marisa Linton: Revolutionary politicians were more than an ideology on legs
Authors: Hagen Edwina
Published: November 2023

Marisa Linton, professor emerita at Kingston University London, researches the Reign of Terror that followed the French Revolution. She argues that the Terror cannot be understood properly purely by focusing on the ideas of the Revolutionaries; their emotions are equally important in explaining what they did. She also talks about what inspired her personally and the influence of gender on her career and research.
Unlocking Nanotechnology Adoption Intention in the Malaysian Food Industry
Authors: Wahab Siti Norida , Rajendran Salini Devi , Yeap Swee Pin , Tan Albert
Published: November 2023

The purpose of this study is to investigate the factors that motivate nanotechnology adoption in the food industry. The study collects 101 responses from food industry operators in Klang Valley, Malaysia, via a quantitative field survey. The data was analysed using Structural Equation Modelling (SEM). The findings show that effort expectation, price value, and trust have no statistical impact on nanotechnology adoption, whereas performance expectancy and top management support have positive effects. Given that this study is one of the few that investigates factors influencing nanotechnology adoption, it should give useful information for future studies on the food industry and nanotechnology adoption among researchers and practitioners.
Influence of Environmental Knowledge and Green Trust on Green Purchase Behaviour
Authors: Li Songyue , Rasiah Ratneswary , Zheng Shufan , Yuan Ziyan
Published: November 2023

This study investigates the influence of environmental knowledge and green trust on green purchase intentions and behavior, and the mediating role of purchase intentions.  Through questionnaire surveys and statistical analysis, the research findings reveal that environmental knowledge and green trust significantly influence green purchase intentions and actual green purchasing behaviour. The results of this study hold significant meaning for the formulation of environmental education and environmental advocacy strategies, contributing to enhancing consumers' environmental awareness and promoting green purchasing behaviour.
Tourists' Preferences for The Architectural Attractions in Bali
Authors: Pramesti Dinar Sukma , Pitana I Gede , Paturusi Syamsul Alam , Adikampana I Made
Published: November 2023

Architectural attractions in Bali could be more appealing to tourists. A research study is initiated to explore the various iconic architectural attractions in Bali and analyze tourists' preferences regarding these iconic architectural styles. The research employs qualitative methods involving questionnaires and interviews with 100 tourists. The study has identified ten iconic architectural tourist attractions in Bali, and tourists mainly visited and favoured the type that is the essence of Bali's cultural heritage while embracing innovation and modernity. It is an ongoing challenge to honour Bali's rich traditions while catering to the evolving tastes and preferences of tourists seeking novel experiences
Synergizing Community Empowerment: Unveiling the Holistic Framework of Waqf Zakat and Infaq-Funded Agricultural Mosque Projects
Authors: Mohd Ali Siti Nadiah , Arshad Huraizah , Fauzi Nurul Sahida , Ghonim Sheikh Mohamed Abdel Aziz
Published: November 2023

This qualitative study explores how mosque-managed cash waqf and zakat funds empower asnaf in the mosque district. Cash waqf resources are donated for larger projects and zakat aid asnaf farmers through mosque-managed agriculture. NVIVO 12-analysed mosque XYZ manager interviews highlight their role in innovative asnaf farmer financial mechanisms for Islamic socioeconomic development. Crowdfunded mosque waqf , zakat  and infaq improve agricultural sustainability and social welfare. The findings guide policymakers, religious institutions, and financial institutions on scalability in other agricultural communities.
CSR activities in SMEs: The impact of TPB’s factors to firm’s performance and firm size as moderator
Authors: Mohd Tan Athirah , Ho Jo Ann , Yahaya Syazwani , Khan Muhammad Shahid
Published: November 2023

This study employed the TPB to examine factors, intention, behaviour, firm performance and sample size in SMEs to engage in CSR. PLS-SEM was used to analyse the respondents. The findings confirmed to have a significant impact for every factor and the intention, intention and the owner's or manager's behaviour which reflected in the firm's performance. While for CSR activities and corporate performance has been found to be moderate by firm size. The result of this study is one of the few to empirically examine each of the TPB variables in CSR participation, supporting the paradigm proposed by Azjen.
Heritage Conservation: Documentation of Rumah Tok Gajah, Kuala Berang, Terengganu
Authors: Hamzah Nur Rafida , Mat Jusoh Zairra , Mat So’od Noor Fatehah , Hinchman Mark
Published: November 2023

The originality of Malaysia’s original culture and history will eventually disappear unless local heritage is preserved and recorded. Inadequate documentation may make it more difficult to preserve this heritage. Thus, data documentation and compilation are an alternative option. The objectives of this study are to identify the Malay architectural heritage and the uniqueness of traditional house of Rumah Tok Gajah. Data were gathered by on-site measurement, observation, visual analysis, and a detailed evaluation of the house’s components. The output of this study is limited to two-dimensional drawing, manual sketches and also laser-cut models with frames has contributed for data documentation.
Parental Feeding Practice in Relation to Their Children’s Weight Status among Puncak Alam Residents
Authors: Majid Norhaini , Ab Hamid Mohd Ramadan , Wan Ismail Wan Marina , Suryanto Suryanto
Published: November 2023

In Malaysia, the incidence of overweight and obesity among children has increased. Poor parental feeding behaviours lead to abnormal BMIs in children. The aim of this study is to identify parental feeding practices among Puncak Alam residents. The study involved 201 parents with children between one and five years old, with 148 mothers and 53 fathers responding to the questionnaire. Most participants were Malay and aged between 30 and 39 years old. The collected data was analyzed using descriptive statistics. Study revealed that restriction was the most used parental feeding practice for weight control, while emotion regulation was the least frequent practice.
Fostering Sustainable Communities: Vital Role of Local Authorities in Urban Agriculture Practices in Strata Housing
Authors: Ahmad Nurulanis , Ahmad Zarita , Mohd Ali Siti Nadiah , Salleh Nor Aini , Khozaei Fatemah
Published: November 2023

Cities face environmental pressure due to urbanization. Strata housing is ideal for sustainable urban agriculture. However, several challenges hinder the adoption of urban agriculture in strata housing. Hence, this paper assesses local authorities' roles in urban agricultural practices in strata housing. This study used semi-structured interviews with City Council Y's COB Manager. The findings show that local authorities can promote urban agriculture by creating policies and regulations and allocating public resources and funding. Urban agriculture in strata housing leads to resilient urban environments.
Revised version of Attitude towards Safe Driving Scale (ASDS-23/SaringSikap-23)
Authors: Masuri Mohamad Ghazali , Md Isa Khairil Anuar , Mustafa Rusmawati , Victor Paulraj Smily Jesu Priya
Published: November 2023

Occupational therapists usually use assessment and screening forms that can identify the problems faced by the person. In the field of driving rehabilitation, the initial assessment is essential, where patient safety and readiness for on-road tests will be determined. Many assessments are available; however, the local instrument was found to be more sensitive and reliable in assessing local drivers. There were a series of publications and reports related to ASDS previously; however, this re-evaluation of the Attitude towards Safe Driving Scale (ASDS-23/SaringSikap-23) is done to report the latest developments in the development of the instrument.
Cyberbullying in the Social Media Environment: Investigating Young Adults' Experiences in Malaysia
Authors: Mat So'od Shahidatul Maslina , Ramamurthy Lena , Mohd Nawi Noor Syamimie , Shafien Syakirah , Abd Latif Siti Fathihah , Mohd Don Zuraidah , Syahfutra Wandi
Published: November 2023

The rise of social media in Malaysia has transformed communication, yet it has also ushered in cyberbullying. This study explores cyberbullying experiences among Malaysian young adults, focusing on their engagement, language use, and coping mechanisms. Data from 148 university students reveal that cyberbullying is prevalent on platforms like Facebook which is mainly instigated by strangers, online contacts, classmates, and friends. The most common cyberbullying types identified are physical-related and intelligence-related. While most participants acknowledged the harm of offensive language, a significant portion admitted to ignoring incidents, emphasising the need for targeted interventions and education to combat cyberbullying among Malaysian youth.
Analysis of the Determinants of Work-Life Balance (WLB) on Transportation Employees in China
Authors: Meng Ying , Chong Kim Mee , Tan Tze Horng , Rasiah Ratneswary
Published: November 2023

The transportation sector in China plays a crucial role in the nation’s economy. This survey covered 708 valid transportation employees who worked in Beijing, China. This research aimed to investigate the employees’ perceptions and the factors affecting their job satisfaction towards work-life balance, mediated by job characteristics. 12 determinants were identified including fair compensation, opportunity for growth, work environment, supervisor support, justice and equality, reward and recognition, job security, autonomy and control, participation in decision-making, effective communication, professional respect and work challenge. This study was significant as the researchers found that all the determinants were supported in the research study.
Self-Regulated Learning and Academic Achievement in Blended Learning in China
Authors: Chang Gaoge , Sukumaran Sheiladevi , Wang Jie
Published: November 2023

College students who participate in blended learning face a greater challenge because they cannot achieve good academic achievement without self-regulated learning (SRL). The purpose of this study is to examine the SRL level of students, investigate the correlation between SRL and achievement, and determine the predictive power of SRL on achievement. A questionnaire was distributed to 90 students at a university in Shandong, China. The data were analyzed using descriptive analysis, correlation analysis, and regression analysis. As a result of the findings of this study, instructors will gain a better understanding of how to design language curricula that incorporates SRL into blended learning to enhance students’ SRL.
Green Purchase Behavior in Malaysia: A Mediation Effect Analysis Based on the TPB
Authors: Yuan Ziyan , Rasiah Ratneswary , Hou Yan , Li Songyue
Published: November 2023

This investigation was done by a group of educated consumers residing in Malaysia. The Theory of Planned Behaviour (TPB) was used to study their behavior in purchasing green products. The study used PLS-SEM to conduct an online survey with 330 educated customers in Malaysia. The results showed that the link between green purchasing attitudes, subjective norms, perceived behavioral control, and green purchase behavior among educated Malaysian consumers was mediated by green purchasing intention. However, some of the results were different from previous findings. Perceived behavioral control would be significantly negatively related to green buying behavior. A green purchasing attitude has no direct effect on green buying behavior. This study provides a reference for relevant policymakers or green marketing strategies.
Antecedents of Green Purchasing Intentions among Higher Education Population in Malaysia
Authors: Hou Yan , Rasiah Ratneswary , Yuan Ziyan , Ma Wanxin
Published: November 2023

This empirical study aims to operationalize the relationship between the direct and indirect influence of factors on green purchase behavior through the mediation of green purchase intention in the context of the Malaysian higher education population. It employed Structural Equation Modeling to assess the strength of relationships between the constructs. The research findings indicate that green purchase intention mediates the relationship between its antecedents and green purchase behavior. This indirect effect is more prominent in the factors of environmental knowledge and green trust. The study helps scholars further understand the facilitating mechanisms of green purchase behavior.
Influence of AEM Model on the Sustainable Development of Traditional Ethnic Handicraft
Authors: Liang Xian , Mat Isa Mohd Jamil , Mokhtar Mumtaz
Published: November 2023

This study, based on a transcontinental perspective, establishes an AEM model aimed at fostering the sustainable development of ethnic handicrafts. The objective of this model is to facilitate the development of ethnic handicrafts from three dimensions: artistic creation, education, and the market economy, while simultaneously promoting cross-regional integration of ethnic cultures. Throughout the research process, the researcher primarily employed field surveys, literature analysis, and studio research methods.
Online English Courses to ODL: Instructors’ Perspectives and Implications in Higher Education
Authors: Ramamurthy Lena , Mohd Nawi Noor Syamimie , Hussein Nur Hafezah , Mat So'od Shahidatul Maslina , Shafien Syakirah , Nugrahadi Gihon
Published: November 2023

The rapid shift from traditional face-to-face instruction to virtual platforms has fundamentally reshaped higher education, including English courses. Post-Covid-19, online learning has proven to be a sustainable, long-term option. This study examines the perspectives of 46 Malaysian higher-education instructors delivering online English courses. The study has three objectives: identifying challenges in online teaching, exploring instructors' perceptions of digital tools and resources, and investigating views on transitioning to a fully-fledged Open and Distance Learning (ODL) mode. Findings highlight technical issues as the primary concern accompanied by varied perspectives. Addressing these challenges and optimizing digital tools and resources can enhance ODL quality.
Cultural exploration of Shanxi local opera costumes and Malaysian Chinese opera costumes
Authors: Xing Furong , Tahir Azian , Syed Abu Bakar Syed Alwi , Li Peimin
Published: November 2023

This paper uses diversified qualitative research methods such as literature, case studies, and comparative research to focus on Shanxi local and Malaysian Chinese opera costumes. The article found that the development of Shanxi local opera and Malaysian Chinese opera costumes is the result of cultural identity and inheritance. The changes in opera costumes are a new visual form formed after transcendence, integration, and identification. This paper can also boost the exchange of costumes between Shanxi local and Malaysian Chinese opera and further enrich the current global cultural civilization.
Performing Piano Works Inspired by Folk Dances: “Wu Kui” and “My Spirit Is Dancing”
Authors: Ren Keyi  , Chong Yew Yoong
Published: November 2023

The piano work "Wu Kui" (1983) was composed by Chinese composer Zhou Long, inspired by the Manchu folk dance "Da Wu Kui," and "My Spirit is Dancing for Solo Piano" (2010) was composed by Malaysian composer Yii Kah Hoe, inspired by the Balinese baris dance. Both piano works are based on folk dances and use Western compositional techniques to innovate the language of folk music. The author takes these two piano works inspired by folk dances and analyses the performance difficulties of these two to enable the performer to better interpret the piano works and make the performance more convincing.
Association between Exposure to Endocrine Disrupting Chemicals in Breast Milk and Maternal Lifestyle Factor
Authors: Kim Ju Hee , Heo Su Ji , Moon Nalae , Kwak Jung Min , Lee Sun Mi
Published: November 2023

This study aimed to investigate the concentrations of nonpersistent endocrine-disrupting chemicals (EDCs) and per- and polyfluoroalkyl substances (PFAS) in human milk through a literature review and to affirm the association between EDCs and lifestyle factors based on the reviewed literature. We analyzed studies reporting EDC concentrations in breast milk from literature published on Google Scholar and PubMed between 2000 and 2022. In Korea, most EDC concentrations in breast milk were comparable to or lower than those in other countries. However, the concentrations of PFAS in breast milk, especially perfluorooctanoic acid, have shown an increasing trend compared to the past in Korea. Considering the potential risks of EDCs, breastfeeding mothers should take measures to minimize their exposure to these chemicals.
The Impact of Salutogenic Factors on the Quality of Life in Climacteric Women
Authors: Seo Yeong-Mi , Choi Won-Hee , Choi So Young
Published: November 2023

Purpose: The objective of this study was to develop a structural model to assess and forecast the quality of life in climacteric women, focusing the concept of salutogenesis.Methods: Participants were sourced from two urban locations through convenience sampling. Data collection involved questionnaires, analyzed using SPSS 21.0 and AMOS 20.0. Assessment instruments comprised the Menopause Rating Scale, New General Self-Efficacy Scale, Sense of Coherence Scale, and the Korean version of the WHOQOL-BREF.Results: The fit indices of the proposed model met recommended standards. The sense of coherence, menopausal symptoms, and self-efficacy accounted for 58% of the quality of life variance, with sense of coherence emerging as the most significant predictor. Menopausal symptoms directly and negatively affected quality of life (β=-0.30, p<0.001), and had an indirect influence through self-efficacy and integration (β=-0.30, p<0.001). Self-efficacy positively influenced quality of life directly (β=0.27, p<0.001) and indirectly through integration (β=0.14, p=0.001). Integration positively affected quality of life directly (β=0.36, p<0.001).Conclusion: Interventions to bolster sense of coherence are crucial for enhancing the quality of life among climacteric women.
The inhibition of selected pathogens by Lactobacillus bulgaricus and Streptococcus thermophiles bacteriocins.
Authors: AlSalam A. AlKarem Kurdistan A. , .Kamran. Hasan Suzan
Published: November 2023

Bacteriocins were produced from Lactobacillus bulgaricus, Streptococcus thermophiles and MIX (Lactobacillus bulgaricus, Streptococcus thermophiles) by two
methods: Shaker Fermentation and Static Fermentation (aerobic and anaerobic)
through bacterial growth in MRS liquid medium, for each of them and the detection
of the inhibitory activity on some types of pathogenic bacteria through the growth
of the test bacteria on a solid nutrient medium Agar Nutrient. It was found that the
three isolates can produce bacteriocin, and there are significant differences between each of the bacteriocins towards the pathogenic bacteria. It shows that the
bacteriocin produced from Lactobacillus bulgaricus has a higher inhibitory activity
and can inhibit different types of bacteria from gram-positive and gram-negative
keywords: Doxazosin, Chloroquine, Synergism, MCF-7, Autophagy.
Keywords: Shaker Fermentation. Static Fermentation. Bacteriocins. Lactic acid
bacteria.
Studying the effect of dusting with ethyl formate on the physical traits of
some Iraqi date cultivars
Authors: Najm Khalaf Mona , Ayed Obaid Alaa
Published: November 2023

The current study aimed to use three cultivars of Iraqi dates in the date stage, AlZuhdi hard, Sayer semi-hard and soft Paraben) and fumigating these dates with
ethyl formate to preserve them and studying the physical traits of the dates under
study in three periods (the pre-storage period, the three-month post-storage period
and the six-month storage period).The physical traits included (total soluble solids,
pH, viscosity, relative viscosity, surface tension, density, refractive index, and
electrical conductivity.
Keywords: Dates Dusting; Ethyl Formate; Al-Zuhdi; Paraben; Sayer.
Exploring Adherence to Pelvic Floor Muscle Training in Women Using Mobile Apps: Scoping Review
Authors: Harper Rosie C , Sheppard Sally , Stewart Carly , Clark Carol J
Published: November 2023

Background

Pelvic floor dysfunction is a public health issue, with 1 in 3 women experiencing symptoms at some point in their lifetime. The gold standard of treatment for pelvic floor dysfunction is supervised pelvic floor muscle training (PFMT); however, adherence to PFMT in women is poor. Mobile apps are increasingly being used in the National Health Service to enable equity in the distribution of health care and increase accessibility to services. However, it is unclear how PFMT mobile apps influence PFMT adherence in women.

Objective

We aimed to identify which behavior change techniques (BCTs) have been used in PFMT mobile apps, to distinguish the core “capability, opportunity, and motivation” (COM) behaviors targeted by the BCTs used in PFMT mobile apps, and to compare the levels of PFMT adherence in women between those using PFMT mobile apps and those receiving usual care.

Methods

We conducted a scoping review of the literature. Published quantitative literature that compared the use of a PFMT mobile app to a control group was included to address the objectives of the study. The electronic bibliographic databases searched included MEDLINE, CINAHL, Scopus, Web of Science, and PEDro, along with CENTRAL. Studies were also identified from reference searching of systematic reviews. Original articles written in English from 2006 onward were included. Nonexperimental quantitative studies, qualitative studies, studies that use male participants, case studies, web-based interventions, and interventions that use vaginal probes were excluded. Narrative synthesis was conducted on eligible articles based on the aims of the study.

Results

Of the 114 records retrieved from the search, a total of 6 articles met the eligibility and inclusion criteria. The total number of participants in the studies was 471. All PFMT mobile apps used the BCT “prompts and cues.” Opportunity was the core COM behavior targeted by the PFMT mobile apps. Higher levels of adherence to PFMT were observed among women using PFMT mobile apps.

Conclusions

Digital “prompts and cues” are a BCT commonly used in PFMT mobile apps, and further research is required to practically assess whether a future randomized controlled trial that investigates the effectiveness of digital “prompts and cues” on PFMT adherence in women can be conducted.
Optimization of Using Multiple Machine Learning Approaches in Atrial Fibrillation Detection Based on a Large-Scale Data Set of 12-Lead Electrocardiograms: Cross-Sectional Study
Authors: Chuang Beau Bo-Sheng , Yang Albert C
Published: November 2023

Background

Atrial fibrillation (AF) represents a hazardous cardiac arrhythmia that significantly elevates the risk of stroke and heart failure. Despite its severity, its diagnosis largely relies on the proficiency of health care professionals. At present, the real-time identification of paroxysmal AF is hindered by the lack of automated techniques. Consequently, a highly effective machine learning algorithm specifically designed for AF detection could offer substantial clinical benefits. We hypothesized that machine learning algorithms have the potential to identify and extract features of AF with a high degree of accuracy, given the intricate and distinctive patterns present in electrocardiogram (ECG) recordings of AF.

Objective

This study aims to develop a clinically valuable machine learning algorithm that can accurately detect AF and compare different leads’ performances of AF detection.

Methods

We used 12-lead ECG recordings sourced from the 2020 PhysioNet Challenge data sets. The Welch method was used to extract power spectral features of the 12-lead ECGs within a frequency range of 0.083 to 24.92 Hz. Subsequently, various machine learning techniques were evaluated and optimized to classify sinus rhythm (SR) and AF based on these power spectral features. Furthermore, we compared the effects of different frequency subbands and different lead selections on machine learning performances.

Results

The light gradient boosting machine (LightGBM) was found to be the most effective in classifying AF and SR, achieving an average F1-score of 0.988 across all ECG leads. Among the frequency subbands, the 0.083 to 4.92 Hz range yielded the highest F1-score of 0.985. In interlead comparisons, aVR had the highest performance (F1=0.993), with minimal differences observed between leads.

Conclusions

In conclusion, this study successfully used machine learning methodologies, particularly the LightGBM model, to differentiate SR and AF based on power spectral features derived from 12-lead ECGs. The performance marked by an average F1-score of 0.988 and minimal interlead variation underscores the potential of machine learning algorithms to bolster real-time AF detection. This advancement could significantly improve patient care in intensive care units as well as facilitate remote monitoring through wearable devices, ultimately enhancing clinical outcomes.
Subaltern Consciousness and Resistance to Hierarchical Hegemony in the Selected Fictions of Legendary Writer- Mahashweta Devi
Authors: Madavi Dr. Manoj Shankarrao
Published: November 2023

Mahashweta Devi was a legend in the regional adivasi literature writings. In a true sense, she had taken the responsibilities to give the voices to the marginalized adivasi who were suppressed from the centuries. Her translated novel Chotti Munda and His Arrow was the pathbreaking novel in the field of regional translation. For the first time Birsa Munda, the legendary martyr and adivasi icon of whole Adivasis in India was known through her magnificent novel. During the colonial ruling, the adivasi territory was interrupted by the Britisher’s tax policies and the oppressive treatment of the landlords. The present novel shows the realism of the adivasi struggle. Present research article tries to examine the issues of subalternity, migration, resistance and search for existential issues of the indigenous communities who stood against the internal colonization of the feudal lords in Indian society.
Influence and Outcome of the COVID-19 Pandemic on Digital Eye Strain in Children
Authors: Sharma Deepti , Saxena Archana B.
Published: November 2023

Abstract: The term "digital eye strain" (DES) refers to a group of visual and ocular problems brought on by extended usage of digital electronic gadgets. Dry eyes, itchiness, a feeling of a foreign body, watering, blurred vision, and headaches are its hallmarks. Eye strain can also cause non-ocular symptoms such a stiff neck, generalised weariness, headaches, and backaches. In the years before COVID-19, a varying incidence of 5 to 65% has been recorded. Outdoor activities were limited for all age groups due to lockdown regulations during the pandemic, and digital learning took over for nearly two years. The prevalence of DES increased to 50–60% in children alone, but the symptoms also widened to encompass recently developed esotropia and vergence abnormalities. One of the most important eye health issues is myopia. Following proper ergonomics, such as reducing average daily screen time, frequent blinking, better lighting, minimising glare, taking regular breaks from the screen, occasionally shifting focus to a distant object, and adhering to the 20-20-20 rule can help manage DES. High-resolution screens, built-in antireflective coating, matte-finished glass, edge-to-edge displays, and image-smoothing visual effects are examples of innovations in this area. The recommendations for optimising digital screens, cutting-edge technology for spectacle lenses, and built-in filters to enhance visual comfort should be the focus of further research. Our understanding of how to approach DES from an etiological standpoint needs to change in order to investigate tailored remedies. The purpose of this review article is to understand the pathophysiology of various manifestations, risk factors that predispose to them, different types of treatment choices, as well as evolving trends in DES prevalence following COVID-19
Malaria Disease Prediction and Grading System: A Performance Model of Multinomial Naïve Bayes (MNB) Machine Learning in Nigerian Hospitals
Authors: Atoyebi Temitope Olufunmi , Olanrewaju Rashidah Funke , Blamah N. V. , Olalere Morufu
Published: November 2023

bstract: Malaria disease is the number one cause of death all over the Sub-Sahara world. Data mining can help extract valuable knowledge from available data in the healthcare sector. This allows training a patient health prediction model faster than in a clinical trial. Various implementation of machine learning algorithms such as Bayesian Theorem, Logistic Regression, K-Nearest Neighbor, Support Vector Machine and Multinomial Naïve Bayes (MNB), etc. have been applied on Public Hospital Malaria Disease datasets but there has been a limit to modeling using Multinomial Naïve Bayes Algorithm. This research applied MNB modeling to discover the relationship between 15 relevant attributes of the Public Hospitals data collected from Bwari General Hospital in Bwari Area Council and Maitama Hospital in Abuja Municipal Area Council, Abuja, FCT, and Nigeria. The goal is to examine how dependencies between attributes affect the performance of the classifier. The MNB produces a reliable and transparent graphical representation between the attributes with the ability to predict new scenarios. The model has an accuracy of 97%. It was concluded that the model outperformed the GNB classifier which has an accuracy of 100% and RF which also has an accuracy of 100%.
ERP: SAP S/4HANA Cloud RISE Enterprise Solution Automation with Artificial Intelligence Features
Authors: Sirse Shreyas , Khanzode Sushank , Bhide Atharva
Published: November 2023

Abstract: Cloud computing has experienced significant growth in recent years for business transformation, with an increasing number of applications migrating to the cloud, where they can centrally manage a wide range of resources, including hardware and software. SAP S/4HANA Cloud is a next-generation ERP system that is built on the SAP Cloud Platform. It offers a number of advantages over traditional on-premises ERP systems. SAP S/4HANA Cloud is a strategic move for organizations aiming to enhance their ERP capabilities and embrace the digital future. SAP RISE is a cloud-based enterprise resource planning (ERP) solution that combines the power of SAP S/4HANA Cloud with artificial intelligence (AI) and machine learning (ML) capabilities. S/4HANA Cloud migration and AI integration is a powerful combination that can help businesses of all sizes to achieve their transformation goals and stay ahead of the competition. By migrating to S/4HANA Cloud and integrating AI features, businesses can improve their operational efficiency, increase their agility, accelerate their innovation, and reduce their costs. In this paper, author has explained the requirement of SAP S/4HANA Cloud RISE Enterprise Solution Automation with Artificial Intelligence features – a current business transformation needs to achieve business goal.