bluuebunny/crossref_metadata_2025 huggingface dataset:
Students’ view on a scientific mentor
Authors:   Ural Federal University named after the first President of Russia B.N.Yeltsin, Ambarova Polina A. , Shabrova Nina V. ,   Ural Federal University named after the first President of Russia B.N.Yeltsin
Published: June 2024

The strategies of the universities involve strengthening the role of student science and developing programs to support it, including scientific mentoring. The implementation of the institute of scientific mentoring in Russian universities should be preceded by the study of students’ expectations regarding the qualities of a scientific mentor. The success of the interaction between a student and a scientific mentor (SM) is determined by the correspondence of the expectations of students and mentors from each other. In addition, a promising “partner” model of scientific interaction is based on taking into account or adjusting students’ expectations from the SM. The purpose of the study was to identify the ideas of students of Russian universities about the qualities of scientific mentors. The purpose is to identify students’ view on the ideal and real qualities of SM. The objectives were detection the significant socio-demographic, personal and professional characteristics of SM; establishment differences in the perceptions of SM among students with different educational and research experience, as well as students enrolled in programs of different profiles; fixing contradictions between the real and expected image of SM. The article is based on the results of the survey of students of Russian universities (N=3032 people). The results show the high importance for students of the personal and professional qualities of SM in comparison with their socio-demographic characteristics. Among the personal and professional characteristics of the mentor, pedagogical, cultural competencies come to the fore. Students who are successful in studies and research, as well as undergraduates and students studying in social and humanitarian programs, have high requirements for SM. There is a great need for scientific mentoring among students of a natural-technical profile. It is concluded that the majority of Russian students are guided by SM qualities corresponding to the authoritative style of mentoring. The features of the SM indicate the correspondence of the real and desired qualities of SM. The contradictions between the real and expected image of SM can be taken into consideration in scientific mentoring programs.
High school students’ assessment of cyberbullying and its prevention in the school environment
Authors:   St. Petersburg State University, Shipunova Tatiana V. , Iakovleva Diana V. ,   St. Petersburg State University
Published: June 2024

The prevalence of cyberbullying in school indicates the need to strengthen school prevention. A first step in this direction would be to study student assessments of both types of cyberbullying and methods of preventing it. This became the purpose of the study. The study used the author’s tools. An online survey of high school students was conducted, which was organized first at school with high school students accessing the Internet using a special code, then the survey was continued on the Google Forms service, where the high school students themselves invited their peers to participate in the study. In both cases, nonrandom purposive sampling was used. The most common type of cyberbullying in schools is trolling. Cyberbullying may be due to the personality characteristics of the aggressor, insufficient preparation of adolescents for conflict-free interaction, the presence of student provocateurs, the desire for revenge, etc. Children from poor families and successful students were classified as potential victims. Students are confident that in the event of persecution, victims will rarely appeal to school staff for help. They would prefer to talk about it with friends and parents. At the same time, school employees are assessed as persons capable of influencing the situation with cyberbullying. Teenagers believe that for prevention it is necessary to pay attention to environmental, informational, educational and psychological aspects. They believe that the environmental aspect should include a change in the attitude of teachers towards the problems and lives of students. The authors come to the conclusion that it is necessary to study the opinions of adolescents about cyberbullying and its prevention in the school environment regularly. This will allow us to move away from a formal approach to prevention and create conditions for the active inclusion of adolescents in solving the problem.
Distance employment as a factor of parental well-being
Authors:   Ural State University of Economics, Markova Tatiana L. , Tonkikh Natalia V. ,   Ural State University of Economics
Published: June 2024

The article presents the results of a qualitative study aimed at exploring and characterizing the perceptions of working parents with different types of employment about the impact of remote working conditions on the parameters of parental well-being. The study used focus group techniques and individual in-depth interviews. The sample was segmented by two criteria: presence/absence of children under 14; presence/absence of a spouse/partner. Positive, negative, and neutral narratives of working parents about the relationship of remote work to parental well-being dimensions were systematized. The results obtained allow us to conclude that distance employment has an advantage over other types in terms of combining parenthood with work. We have identified two conditions for the realization of this advantage: the ability to flexibly build a work schedule and at the right time to be where it is necessary for the child. The advantages of the remote employment can increase the resources of parental well-being if employees manage to eliminate or minimize the problematic aspects of combining home and work. However, this format of employment is not universally valuable, but requires certain efforts and conditions to achieve parental well-being. It is concluded that in order to correctly study the degree and nature of the impact of the distance employment on parental well-being, it is necessary to segment distance employment in more detail by modes of work. The scientific result of the research is to clarify the basic parameters of parental well-being and the nature of possible positive and negative effects of distance employment on the parameters of parental well-being. The used methodological approach and research tools have been successfully tested and can be used for further research into different types of employment, determination of optimal working conditions and barriers to parental well-being.
Artificial Intelligence-Assisted Chinese L2 Writing: An Empirical Study on Educational Sustainability in Africa
Authors:   Macau University of Science and Technology, Yu Lishen , Kong Qingqing ,   University of Cape Verde, Hao Hongyan ,   Guangdong University of Foreign Studies
Published: June 2024

This study investigates the impact of ChatGPT on Chinese L2 writing proficiency among African students, aligning with the Sustainable Development Goals (SDGs) for quality education and reduced inequalities. Employing a mixed-methods approach, the research involved 46 participants to quantitatively assess improvements in syntactic and lexical complexity, accuracy, and fluency. Qualitative insights were garnered through semi-structured interviews, revealing positive perceptions of ChatGPT in enhancing writing skills, yet highlighting challenges like technological access and economic constraints. The findings suggest that while ChatGPT effectively enhances Chinese L2 proficiency, its integration in African educational contexts requires addressing infrastructural and pedagogical barriers. This study contributes to the discourse on Artificial Intelligence in language education and its role in advancing African sustainable educational practices.
Types of data: terminology and examples
Authors: Plana Q. , Villez K.
Published: June 2024

Data produced at wastewater utilities are obtained through a variety of devices, including actuators, control devices, and sensors. This results in data that can be highly variable in its structure. Dealing with the resulting heterogeneity of data formats can be a challenge when storing or interpreting the data. For this reason, this chapter serves as an overview for the most important structural aspects of data typically found at a utility. The specific aims of this chapter are to: Introduce basic concepts for description, understanding, and management of data produced by online instruments, including sensors and actuators (e.g., valves and pumps).Provide definitions for the most common terms used throughout this report to describe online sensor data as well as other data sources.Provide practical examples to illustrate the provided definitions.

Where feasible, we relied on existing standards and references to provide applicable definitions.

However, many definitions are developed specifically for this report.
Metadata for a systematic description of signal data
Authors: Alferes J. , Baeza J. A. , Nicolaï N. , Therrien J-D. , Plana Q. , Villez K.
Published: June 2024

This chapter aims to provide a comprehensive overview of metadata types that may be useful during system design, optimization, and automation. Metadata are grouped into three main categories: (a) metadata describing signal generation, (b) metadata describing signal quality, and (c) contextual information in the form of annotations. Each of these categories is introduced and explained in three separate sections. Importantly, this chapter mainly answers what is considered metadata. To a lesser degree, recommendations are made regarding the selection of metadata for long-term storage. Chapter 4 will explain where and how to store metadata. Chapters 5 and 6 explain how to collect certain metadata through dedicated sensor validation tests (Chapter 5) or algorithmic analysis (Chapter 6).
Structuring and storing signals with their metadata: practical considerations
Authors: Nicolaï N. , Villez K. , Plana Q.
Published: June 2024

This chapter aims to provide a comprehensive overview on structuring signal data and their metadata, highlighting key considerations for optimal management and storage. Specifically, it focuses on: (a) the relevance of data organization; (b) what data to store and what to keep; and (c) data management methods. Thus, this chapter answers where and how to store metadata efficiently. Chapter 3 explains what is considered metadata. Chapters 5 and 6 present how to collect certain metadata through dedicated sensor validation tests (Chapter 5) or algorithmic analysis (Chapter 6).
Structural and lithological conditioning of the large karst systems of the Sierra de los Órganos, Pinar del Rio, Cuba
Authors: Díaz Guanche C. , Ramírez Hernandez R. , Farfán Gonzalez H. , Estévez Cruz E. , Ordaz Hernández A. , Aldana Vilas C.
Published: June 2024

The karst, a complex phenomenon, is governed by a number of variables which dictate its genesis and evolution. Among these variables tectonic settings and lithology play the main role. In Cuba, approximately 65% of the territory is occupied by karst. The Sierra de los Órganos, part of Cordillera de Guaniguanico, has some of the largest karstic systems in the country. With the aim of demonstrating the relationship between the spatial and morphological development of the underground karstic systems and the geological structure and lithology of the area, several structural and morphological measurements and field observations have been made. These measurements and observations allowing us to conclude that the karstic processes take place mainly in massive, relatively homogeneous and very thick limestone in the Sierra de los Órganos. Moreover, these rocks are characterized by both low porosity and a high degree of fracturing. These karstic forms are also conditioned by the existence of various fracturing systems with general NE-SW and NW-SE orientations. Interception of these fracturing systems provides, as expected, areas with the largest volumes of karstic cavities.
The karst network system of the Sierra de las Nieves (Málaga, Spain). An example of a high relief Mediterranean karst.
Authors: Pardo-Igúzquiza E. , Durán J.J. , Robledo-Ardila P. , Luque-Espinar J.A. , Martos-Rosillo S. , Guardiola-Albert C. , Pedrera A.
Published: June 2024

The aim of this work is the stochastic simulation of a network of karst conduits in a high relief karst system. The simulation completes the existing cave mapping provided by speleological exploration and connects the recharge area with the discharge at the karst springs. The Sierra de las Nieves karst system is a high relief Mediterranean karst that has allowed the development of a system of large conduits and caves. The system follows the typical pattern of an alpine karst system with two characteristic zones where the development of the caves is different. The first zone, with a mean altitude of 1750 m a.s.l., the Hoyas del Pilar and Torrecilla, is the area with highest altitude where recharge takes place and where the entrance potholes to the system are located. In this zone the cave system has a development mainly along the vertical (with 1000 m of vertical development along a few hundreds of metres of horizontal development) with large shafts and narrow and steep meanders, until the local base level is reached at 700 m a.s.l. In the second zone, the system has a quasi-horizontal development with 300 m of altitude difference for 7 km in the horizontal until the base level of the system at the Río Grande Spring (450 m a.s.l.). The transition between both zones is dominated by the presence of sumps where the conduits have vertical ondulations. The connectivity between the entrance and the resurgence has been demonstrated, in the past, by tracer tests. The system of super caves has been made possible because of the favourable conjunction of lithological, structural, geomorphological, hydrogeological and climatic factors. Geomorphic indices are introduced to describe the three-dimensional karst networks so the known network can be completed (i.e. simulated), taking into account statistical and probabilistic criteria. The simulated system can be used for the mathematical flow simulation of the karst system.
The Snezhnaya-Mezhennogo-Illyuziya cave system in the western Caucasus
Authors: Mavlyudov B.R.
Published: June 2024

The Snezhnaya-Mezhennogo-Illyuziya cave system (SMI) is located within the Khipstinsky karstic massif, in the Western Caucasus. The cave is a branched, arborescent system of cave channels through which underground water streams flow and change in an upwards direction in sub-vertical shafts. Now 3 such shafts, which have a connection with the cave river, are being studied: the Snezhnaya (1970 m a.s.l.), the Mezhennogo (2 015 m a.s.l.) and the Illyuziya (2 389 m a.s.l.). The SMI cave system has been investigated since 1971 and the currently known depth of the system is 1 760 m, the extent of the galleries - >32 km, the volume - >2.7 million m3, the specific volume - 84 m3/m. The size of the biggest cave chamber – the Thronnyj - is 309x109x40 m. The average discharge of the underground river is about 500 l/s. The temperature in the cavity changes from 0 to 6.5°C. Research on the SMI cave system continues.
Pas de Vallgornera Cave, Majorca (Spain): one the largest littoral caves in Europe
Authors: López B. , Mulet T. , Rodriguez-Homar M. , Merino A.
Published: June 2024

The Pas de Vallgornera cave is the longest cave in the Balearic Islands and one of the largest in Europe (more than 73 km long). It is found on the Miocene reef of Llucmajor Platform and its genesis is related to the development of normal faults and associated fracture systems with N 180º S and N 60º E orientation that took place during the Neogene. It is noteworthy for the abundance, variety and beauty of the speleothems, paleontological richness and to present evidence of hypogene basal recharge. Due to its singularity, it has served as the basis of several scientific studies on groundwater level fluctuations during the quaternary period and others related to the existence of one of most important paleontological sites in Mallorca as far as vertebrates are concerned.
A Systematic Study on the Impact of Blueberry Supplementation on Metabolic Syndrome Components
Authors: Yousefizadeh Shahnaz , Farkhondeh Tahereh , Alemzadeh Effat , Samarghandian Saeed
Published: June 2024

Background:

Metabolic syndrome, which is characterized by a constellation of well--
known risk factors, including obesity, hyperlipidemia, insulin resistance, and hypertension, is associated
with an elevated risk of developing diabetes and cardiovascular disease. Given the lifestyle
change, the prevalence of metabolic syndrome has been growing worldwide in recent years. Accordingly,
the pivotal role of diet in the progression of metabolic syndrome as a lifestyle modification
is taken into account.

Aims:

This systematic review aimed to explore the association of blueberry consumption with
ameliorating metabolic syndrome.

Methods:

We conducted this systematic review under PRISMA (Preferred Reporting Items for
Systematic Reviews and Meta-Analyses) guidelines and performed a systematic literature search
in several databases, including Web of Science, Scopus, PubMed, and Google Scholar.

Results:

Six clinical trial studies indicated that blueberries could not change components of
metabolic syndrome, especially blood glucose. However, most of the animal studies indicated the
protective effects of blueberries on these components.

Conclusion:

There are evidence suggesting that blueberry may effectively impact metabolic syndrome,
whereas some disputed findings have shown that there is no alteration of metabolic syndrome
components. Further clinical trials are needed to be conducted to investigate the potential
impact of blueberries on metabolic syndrome and address this question.
A Systematic Review and Meta-Analysis of the Effects of Statin Therapy on Heart Transplantation
Authors: Mardani-Nafchi Hossein , Hashemi Rafsanjani Seyed Mahmoud Reza , Heidari-Soureshjani Saeid , Abbaszadeh Saber , Gholamine Babak , Naghdi Nasrollah
Published: June 2024

Background:

Most of the mortality after Heart Transplantation (HT) is attributed to severe
cardiac allograft vasculopathy (CAV) and rejection.

Objectives:

This meta-analysis aimed to investigate the effects of postoperative statin therapy on
outcomes (mortality, rejection, and CAV in HT patients).

Methods:

This systematic review and meta-analysis was performed on publications between 1980
and October 2023 in Web of Science, Scopus, PubMed, Cochrane, Science Direct, Google Scholar,
and Embase databases. Heterogeneity was assessed using Chi-square, I2, and forest plots.
Publication bias was evaluated using Begg's and Egger's tests. Analyses were performed in Stata
15 with significance at p < 0.05.

Results:

This meta-analysis included 17 studies comprising 4,627 participants and conducted between
1995 to 2021. Compared to non-users, the odds of mortality were lower among statin users
(OR= 0.49, 95% CI: 0.32–0.75, p < 0.001). The odds of CAV were also reduced with statin use
(OR= 0.71, 95% CI: 0.53–0.96, p = 0.027). The odds of rejection were not significantly different
(OR= 0.69, 95% CI: 0.41–1.15, p = 0.152). However, rejection odds were lower with statins in
RCTs (OR= 0.42, 95% CI: 0.21–0.82, p = 0.012) but not in case-control studies (OR= 0.87, 95%
CI: 0.49-1.52, p = 0.615). No publication bias was observed with Begg's test, but Egger's test
showed possible bias.

Conclusion:

This meta-analysis found postoperative statin use associated with lower mortality
and CAV, but not overall rejection, though RCT subgroup analysis showed decreased rejection
with statins. Statin therapy may improve prognosis in HT patients.
A Comparative Study of Complete Blood Count (CBC) Tests in Children with COVID-19 in the Fifth Peak Compared to Other Peaks: A Cross-Sectional Study
Authors: Mirrashidi Fateme Sadat , Raesi Rasoul , Hushmandi Kiavash , Mojaz Ali , Daneshi Salman
Published: June 2024

Background

Awareness and recognition of the changes resulting from laboratory results in patients with COVID-19 can lead to effective clinical judgment and evidence-based care.

Aim

This study was conducted to compare the results of complete blood count (CBC) tests in children with COVID-19 hospitalized in the fifth peak1 with other COVID-19 peaks.

Methods

This cross-sectional study was carried out by census method on 112 hospitalized cases of children suffering from COVID-19. The data were collected using a researcher-made checklist by referring to the medical records unit of the hospital and analyzed with SPSS-25 statistical software and descriptive and inferential statistical tests at a significance level of 0.05.

Results

In the examined peaks, iron deficiency anemia was related to the severity of COVID-19, so MCV and RBC levels were reduced in children with COVID-19. The average blood platelet in the fifth peak was significantly lower than in the third and fourth peaks.

Conclusion

Decreased values of some CBC indices, such as MCV, RBC, and platelets in the fifth peak during hospitalization, can predict poor clinical outcomes in patients with COVID-19. Moreover, according to the Mentzer index, the degree of iron deficiency anemia affects the clinical course and prognosis of patients with COVID-19, therefore, knowing the laboratory results can help the clinical judgment of doctors in treating patients.
Revolutionizing Plant Tissue Culture: Harnessing Artificial Intelligence for Precision Propagation and Optimization
Authors: Kaushik Preeti , Rani Madhu , Khurana Neha , Pandey Parijat , Payal  , Kapoor Sonia
Published: June 2024

:

Plant tissue culture is a process of in vitro regeneration requiring numerous resources and
intensive labour to mass produce disease-free clones. Diverse factors such as sterilizing agents, media
composition, and environmental conditions contribute toward successful regeneration and decide
the production, such as the total shoot number, shoot length, in vitro rooting, and adaptation of plants
to the external environment. Plant tissue culture, the successful induction of rapid shoot production,
and subsequent root formation in plants are influenced by the utilization of appropriate growing conditions
customized to each specific explant type. By carefully manipulating environmental factors,
such as temperature, light, and nutrient availability, it is possible to stimulate the growth and development
of new shoots in a time-efficient manner. This strategic combination of optimal growing
conditions and hormone supplementation holds great promise in the domain of efficient propagation
of plants through tissue culture techniques. The recent progress in artificial techniques such as artificial
neural networks (ANN) and machine learning (ML) algorithms has presented promising opportunities
for the development of sustainable and precise plant tissue culture processes. These techniques
are widely recognized as robust techniques for assessing outcomes and enhancing the accuracy
of predicting outputs in the domain of plant tissue culture. AI techniques and optimization algorithms
have been applied to predict and optimize callogenesis, embryogenesis, several shoots, shoot
length, hairy root culture, in vitro rooting, and plant acclimatization by helping predict sterilizing
conditions, optimal culture conditions, and formulation of a suitable medium. Patents, modeling, and
formulation of each stage of plant tissue culture using tools like artificial neural networks (ANNs),
neuro-fuzzy logic, support vector machines (SVMs), decision trees (DT), random forests (FR), and
genetic algorithms (GA) are presented.

Conclusion:

In this article, the current state of Artificial Intelligence (AI) algorithms, including their
applications in all elements of plant tissue culture, as well as the patents that have been gained for
these algorithms, are dissected in great detail.
The Role of Identity in the Relationship between PTSD and Executive Functioning
Authors: Washburn Stephanie , Branch Reilly , Jean-Francois Ishara , Berman Steven L.
Published: June 2024

Introduction:

The developmental period of late adolescence is when
significant identity formation takes place, especially for college students
(Erikson, 1968). However, traumatic experiences can affect identity development
and lead to extreme identity distress. With exposure to trauma, executive
functioning can also diminish, leading to a decrease in self-control and greater
sensitivity.

Methods:

Although trauma affects both executive functioning and identity, the
possible direct link between identity and executive function has not been
adequately explored. Among a college sample (N = 507), those who experienced
trauma reported higher levels of identity distress, ruminative identity exploration,
and lower levels of executive functioning.

Results:

It was hypothesized that identity variables plus PTSD would better
predict executive functioning than PTSD alone. The hypothesis was supported,
suggesting the incremental validity of using identity in addition to PTSD to
predict executive functioning scores.

Conclusion:

Implications of this study include the need to consider identity
development in the treatment and prevention of PTSD, as well as trauma history,
in interventions aimed at promoting positive identity development in youth.
Machine Learning and Data Analytics in m-Health from the Perspectives of Public Health System
Authors: Singh Vaibhav Pratap , Biswas Siddhartha Sankar , Alankar Bhavya , Tanweer Safdar , Vats Prashant , Shekhawat Sayar Singh
Published: June 2024

Digital health-based medical technology (m-health) uses mobile phones and
other patient monitoring equipment to keep tabs on a patient's health. It is largely
acknowledged as an important modern-era technological accomplishment.
Traditionally, big data analytics and intelligent machines have been used in m-health to
provide far more productive medical coverage. Current therapeutic research utilises a
variety of data types, including electronic health records (EHRs), diagnostic images,
and professional language that appear to be disparate, unclear, and disorganised. In
addition, it makes a substantial contribution to the emergence of a large number of
unstructured and jumbled data sources as a result of mobile platforms and healthcare
infrastructure. The use of machine intelligence and big data analytics to enhance the mhealth infrastructure is thoroughly examined in this chapter. Additionally, various
machine learning big data approaches and platforms are studied to the data source,
methodology used, and application area. The overall findings of this study will
undoubtedly affect the creation of techniques for processing m-health data more easily
utilising a resource that incorporates big data and AI.
Persepsi Remaja Generasi Z Tentang Kesiapan Menikah Dan Keselarasan Kebijakan Pernikahan Authors
Authors:   Universitas Brawijaya, Dewi Mustika , Ulfah Mega ,   Universitas Brawijaya, Gayatri Mergy ,   Universitas Brawijaya
Published: June 2024

Generation Z teenagers are those born from 1995 to 2010 in the era of modern digitalization. Meanwhile, policy makers and implementers for generation Z teenagers in the pre-marital youth program are generations X and Y, those who live in the era of the digital revolution. These generations have different characters. The aim of this research is to determine the perspective of generation Z teenagers regarding marriage readiness with the alignment of marriage policies. This research method is a cross-sectional study with the subjects of generation Z teenagers, namely 360 students from the Faculty of Medicine, Brawijaya University, officers from the Office of Religious Affairs (KUA), health workers and sub-district officers. The research was carried out in the Lowokwaru area of Malang City. This research uses Google forms, interviews and observations. The results of this research showed that 50.00% of teenagers were not ready to marry. Pre-marital youth programs at the Department of Religion and Community Health Centers already exist but are not implemented well. The educational method used is still conventional, not using easily accessible social media. It is recommended that pre-marriage programs for generation Z teenagers can be synergistic between the Department of Religion and Community Health Centers. For further research, we can initiate website-based consultation and education applications for teenagers.
The Relationship between Sleep Quality and Stress Levels with The Menstrual Cycle in Final Year Midwifery Student, Faculty of Medicine, Brawijaya University
Authors:   Fakultas Kedokteran, Universitas Brawijaya, Indonesia, Sari Ni Komang Yeni Patma , Purwaningtyas Nuretha Hevy ,   Departemen Kedokteran Keluarga, Fakultas Kedokteran, Universitas Brawijaya, Kusumaningtyas Dian ,   Departemen Kebidanan, Fakultas Kedokteran, Universitas Brawijaya
Published: June 2024

Background: Stress is a condition when a person is unable to accepted the demands and pressures that exist. Sleep quality can be assessed by sleep duration, sleep latency, sleep disturbance and daytime functioning. Poor sleep quality can cause physiological function disorders in the body, especially hormonal disorders related to the menstrual cycle. Hormonal disorders in a woman's body caused menstrual cycle irregularities such as secondary amenorrhea, polymenorrhea and oligomenorrhea Every woman will experience a different menstrual cycle based on the condition of their individual bodies. Menstruation can be affected by stress levels and sleep quality. Objective: Knowing the relationship between sleep quality and stress levels with the menstrual cycle in final year midwifery students Medical Faculty Universitas Brawijaya. Methods: This study used a cross sectional design. The sample used according to the inclusion and exclusion criteria was 63 students. This research instrument used PSQI questionnaire, DASS questionnaire and menstrual cycle questionnaire. Bivariate analysis was performed with Chi Square test and Fisher's Exact test, and multivariate analysis was performed with logistic regression test. Results: There was no significant relationship between sleep quality and menstrual cycle (p-value 0.584) and there was no significant relationship between stress level and menstrual cycle (p-value 0.469) in final year Midwifery students Medical Faculty Universitas Brawijaya. More in-depth research is needed related to other factors that cause students' menstrual cycles to be disrupted.
Effect of Solution Variation and Concentration on Yield Anthocyanins Extract from Butterfly pea (Clitoria ternatea L.) as Natural Dye
Authors:   Department of Chemical Engineering, Faculty of Industrial Technology, Universitas Nahdlatul Ulama Al Ghazali, Cilacap, Indonesia, Khuzaimah Siti , Rokhmah Dini Novi ,   Department of Chemical Engineering, Faculty of Industrial Technology, Universitas Nahdlatul Ulama Al Ghazali, Cilacap, Indonesia, Setianingsih Andika Adhi
Published: June 2024

One of these resources that may be used as a source of natural dyes is the telang flower (Clitoria ternatea L). Telang flower contains anthocyanin pigments that give it a blue color so that it can be used as a natural dye that can be applied to food or drinks. The purpose of this study was to determine the anthocyanin levels in the telang flower extract using various types of solvents and solvent concentrations. The solvent variations used were acetic acid, citric acid, and tartaric acid with solvent concentrations of 0.5, 1, 1.5, and 2% (w/v). The method used in this research is the maceration extraction method with a maceration time of 25, 50, 75, and 100 minutes. The results obtained The type of acid, namely acetic acid, citric acid, and acetic acid affected the anthocyanin yield, with values of 0.4729, 0.758, and 0.785 respectively at a solvent ratio of 1: 6. Variation of solvent concentration from 0.5%, 1 %, 1.5%, and 2% (v) 2% (v) acetic acid solvent can produce a maximum anthocyanin yield of 0.254 g/5 g, citric acid is 0.317 mg/5 gram, and tartaric acid is 0.343 at a concentration of 2% ( b/v).
Absorption Time and Temperature Effects on The Physical Chemical Properties of Refined Used Cooking Oil Using Bentonite and Carbon Bagasse Adsorbents
Authors:   Jurusan Teknik Kimia, Politeknik Negeri Samarinda, Adhiksana Arif , Febriyana Qobid , Wahyudi Wahyudi , Irwan Muhammad , Thahir Ramli , Fitriyana Fitriyana , Kusyanto Kusyanto , Oko Syarifudin
Published: June 2024

Bentonite and carbon bagasse adsorbents are used to study the effects of temperature and absorption time on the physico-chemical properties of refined used cooking oil. Any extended use of outdated cooking oil will have an impact on the body's health since it causes fat cells to accumulate in various vital organs. Used cooking oil can be cleaned by using adsorbents like bentonite, bagasse, and activated carbon. This study investigated the effects of temperature and adsorption period on the purification results of used cooking oil using activated carbon adsorbents comprised of bagasse and bentonite. In this study, a factorial group randomised design was used. First, there is a 1:1 adsorbent to substrate ratio. Secondly, there are four adsorption temperature levels: 30°C, 60°C, 90°C, and 120°C. The third factor is adsorption time, which are: 30, 60, 90, and 120 minutes. Counting the quantity of acids, peroxides, and free fatty acids was one method of data analysis. The best results are obtained when used cooking oil is refined using activated carbon, bagasse, and bentonite at 120°C for 90 minutes of adsorption. The result is an acid number of 0.913, a peroxide number of 2.532, and a free fatty acid content of 0.459%.
Kesambi Oil, Blood Clam Shell Waste and Cigarette Filters are Materials That are Abundantly Available, Have Low Economic Value And Are Waste In Society.
Authors:   Program Studi Teknik Energi Terbarukan, Jurusan Teknik, Politeknik Negeri Jember, Rohmadini Fira , Syarif Mesbahul , Kadhafi Abu , Susmiati Yuana
Published: June 2024

These three wastes can be used as raw materials for biodiesel in the transesterification and purification processes. The purpose of this study was to determine and analyze the variations of blood clam shell catalysts and cigarette butt adsorbents and to compare the most optimal quality of biodiesel (producing the highest yield) based on SNI 7182:2015. The method used in this research consists of FFA testing, degumming, esterification, tranesterification and purification processes. In the transesterification process, a catalyst was added in the range of 2-6% m/v and 75% methanol, while in the refining process, active charcoal filter cigarette adsorbents were added in the range of 5-10% m/v. The data obtained was subjected to statistical analysis using the Response Surface Methodology (RSM) Central Composite Design (CCD) method. Based on statistical analysis, a linear model equation was obtained and there were no optimum and minimum points. This research also obtained the highest bisodiesel yield of 73.33% at a catalyst concentration of 6% m/v and adsorbent of 5% m/v. Some of the quality characteristics of the biodiesel produced are in accordance with SNI standards.
Enhancing Customer Experience in Car Servicing: Insights from Indian Markets
Authors: Mannadhan Prabhu , G Madan Mohan
Published: June 2024

This descriptive research has attempted to assess customers' satisfaction with services offered by car servicing firms in India. The researcher administered a structured questionnaire to 300 company customers, selected using the Systematic Random Sampling technique. Data collected were analyzed using SPSS, applying the analytical tools of Frequency, Percentage, Mean, factor analysis, cluster analysis, Chi-square and Correspondence Analysis. Results of the study have revealed that the caring nature of servicing staff, the quality of services and service personnel, and the convenience and comfort offered to customers have been identified as the most important factors affecting customer satisfaction.
The Effects of Bank Specific Characteristics and Corporate Governance Mechanisms on Disclosure: An Empirical Investigation in the Banking Sector of Ethiopia
Authors: Chanie Degu Kefale , Malhotra Keshav , Aggarwal Monika
Published: June 2024

The objective of the study was to investigate the effect of bank-specific and corporate governance mechanisms on the financial and social disclosure level of Ethiopian commercial banks. To address this objective, six years of secondary data were collected from seventeen commercial banks. Financial and social disclosure levels, measured using an unweighted disclosure index, were used as dependent variables, while bank-specific characteristics (such as profitability, age, size, leverage, and liquidity) and corporate governance mechanisms (such as board size, board diversity, board independence, audit committee size, and audit committee independence) were used as independent variables. Generalized Least Squares (GLS) estimation was used to examine the association between dependent and independent variables and to test the hypotheses. The results evidenced by GLS regression revealed that profitability, bank size, and board size have a significantly positive effect on financial disclosure. Conversely, leverage, liquidity, and audit committee independence significantly negatively affect financial disclosure. However, age, board diversity, and audit committee size have no significant effect on the financial disclosure level of Ethiopian commercial banks. Moreover, the results documented from FGLS estimation indicate that profitability has a positive significant effect on social disclosure, whereas liquidity 2023and board independence have a significantly negative effect on social disclosure. However, age, bank size, leverage, board size, board diversity, and audit committee independence do not significantly affect the social disclosure level of Ethiopian commercial banks.
Formulation and Computation of UPI Transaction Failure and Management Model
Authors: Kalirajan Vaishnavi , Ramanathan Malini Devi
Published: June 2024

Unified Payments Interface (UPI) was established by National Payments Corporation of India (NPCI) and is regulated by the Reserve Bank of India (RBI), starting around 2016. UPI apps on mobile platforms facilitate the linking of multiple bank accounts to a single device and assists in performing all transactions within seconds. Sometimes these transactions fail due to multiple reasons. Here a mathematical model concerning the reasons for transaction failure and managing them are developed through a system of non-linear ordinary differential equations. Approximate analytical expressions for the rate of transaction failure due to insufficiency or exceedance, incorrect input data, bad internet connection and successful UPI transactions are derived using Adomian Decomposition Method and Variational Iteration Method which are compared to their numerical solution. This paper shows that a successful transaction depends on maintaining a proper account balance, following UPI transaction limits per day of the application you use, entering correct UPI PIN, receiver details and ensuring stable internet connection with sufficient speed.
Informing Policy and Strategy: The Nexus of Macroeconomic Indicators and Financial Metrics in North Macedonia
Authors: Malchev Bojan , Cvetkoska Violeta , Trpeska Marina
Published: June 2024

This study employs machine learning and exponential smoothing techniques in Power BI to analyse the relationship between financial indicators and macroeconomic variables in North Macedonia. By rigorously examining correlations and forecasting tools for exponential smoothing, it uncovers a significant relationship between unemployment rates and the financial performance of banks. Positive correlations indicate that higher unemployment rates strengthen banks’ financial resilience, while negative correlations highlight challenges during periods of elevated unemployment. Furthermore, it identifies key influencers affecting the unemployment rate, enhancing forecasting insights. The paper forecasts North Macedonia’s average annual unemployment rate for 2022-2026, complete with a 95% confidence interval. These forecasts empower policymakers, researchers, and stakeholders with precise economic navigation tools. This research is vital for informed decision-making and strategic planning, benefiting policymakers, investors, and financial institutions. It also calls for deeper exploration of macroeconomic and financial metric relationships, promising improved forecasting and decision-making capabilities.
Consumer Attitude and Behavioural Intention towards Adoption of Online Insurance Services: An Empirical Analysis
Authors: Handa Rekha , Kaur Randeep
Published: June 2024

This study focuses on the factors affecting attitudes and behavioural intentions to adopt online insurance services. The study integrated UTAUT2 constructs with external variables such as government support, perceived credibility, interactivity, and self-efficacy. A structured questionnaire was prepared to collect data through a purposive sampling technique from (420 respondents) online insurance service users, and a structural equation modelling technique was applied to analyse using Amos software version 22.0. The results revealed that performance expectancy, social influence, facilitating conditions, government support, perceived credibility, interactivity, and self-efficacy had significant positive impact on attitude and behavioural intention. Further, the study also proved that attitude has a significant impact on behavioural intention. Effort expectancy was not significantly associated with attitude or behavioural intention to use online insurance services. The mediation outcomes demonstrated that there was no evidence of an attitude-mediated relationship between government support, effort expectations, and behavioural intention. The key contribution is that attitude has been used as a mediator in the relationship between UTAUT2 constructs and behaviour intention. The integrated framework has been utilised in the adoption of online insurance services.
Determinants of Financial Performance: An Evidence from Primary Cooperative Agriculture Developments Banks of Punjab
Authors: Kaur Sarbjit , Singh Balwinder
Published: June 2024

This research investigates the determinants of financial performance in Primary Cooperative Agriculture Development Banks operating in Punjab, India. By analysing the impact of Capital Adequacy, Asset Quality, Management Efficiency, Earnings, and Liquidity on Return on Assets (ROA), the study aims to offer insights into enhancing financial health and regional economic growth. Using a panel regression model, financial data from multiple periods and banks are analysed. Key findings indicate that maintaining adequate capital positively influences ROA, while prudent lending practices are crucial for asset quality maintenance. Efficient management enhances ROA, and higher earnings and effective asset use contribute to profitability. While liquidity management’s impact is limited, its role in meeting short-term obligations remains significant. This study provides actionable insights for banks and policymakers, emphasising capital reserves, prudent lending, operational efficiency, and asset utilisation. Effective liquidity management remains important. This research contributes uniquely to understanding financial determinants in cooperative banks, guiding decision-making, policy formulation, and promoting agricultural development and economic growth.
Short Communication: Indian Public Sector Commercial Banks: An Empirical Analysis of Bank-Specific Determinants of Credit Risk
Authors: Sahoo Prakash Kumar , Mishra Swayam Prava
Published: June 2024

The public sector banks dominate India’s financial sector and play a crucial role. Commercial banks are indispensable in the processes of capital circulation, capital integration, capital resource allocation, and overall societal demand and supply adjustment. But performing these vital roles, the commercial banks are associated with different risks out of which credit risk hampers them a lot. This risk attacks the major pillar of the banking industry i.e., solvency on which the industry survives. In this paper, a modest attempt is made to identify the bank-specific determinants of credit risk in the public sector commercial banks in India. Data was collected from the RBI database for the period 2005 to 2020 for 13 banks. Variables pertaining to credit risk, bank size, capital adequacy ratio, profitability, liquidity and diversification were taken. These variables were analysed with the help of different panel data analytical tools. The size of the bank, represented by the log of total assets, and diversification, measured as the ratio of non-interest income to total income, were found to positively and significantly influence credit risk in public sector commercial banks. The Return on Asset, Loan-deposit ratio, and Capital adequacy ratio were found to be negatively correlated with credit risk.
Tornar-se Professor(a) Universitário(a)
Authors: Dos Santos Elzanir
Published: June 2024

Este artigo resulta de uma pesquisa que objetivou analisar processos identitários de professores (as) que atuam em uma universidade pública do estado da Paraíba, a partir de memoriais elaborados para progressão na carreira. A abordagem metodológica foi a pesquisa (auto) biográfica. As reflexões tematizam aprendizagens, concepções e desafios atinentes ao processo de construir-se docente universitári(o)a. As análises denotam engajamentos políticos como fator importante no aprender a profissão; concepções de docência associadas à transformação individual; desafios relativos às condições de trabalho; engajamentos que evocam o sentimento de pertença à docência; bem como a dimensão autoformativa da escrita dos memoriais, consubstanciada em um balanço das trajetórias e dos modos de aprender e estar na profissão, anunciando devires e ensejando processos de autocompreensão/autoformação e de (re) descoberta de si.