bluuebunny/crossref_metadata_2025 huggingface dataset:
Doxorubicin Loaded Gold Nanoparticles Mitigate Liver Fibrosis and Inflammatory
Cytokines Gene Expression in Rat
Authors: Ishaq Yasmeen , Naeem Hamna , Khurshid Sana , Tabbasam Rabia , Haider Zeeshan
Published: October 2022

Background:

Gold nanoparticles have the potential to be used as a carrier in drug delivery system due to their small size, large surface area and short circulation time in blood.

Objective:

This study aims that doxorubicin conjugation with gold nanoparticles (AuNPs) may reduce its toxicity as well as improve therapeutic efficacy.

Methods:

Five groups of Albino rats were used; 1: healthy control, 2: Injured, 3: injured and treated with Dox, 4: Injured and treated with AuNPs, 5: Injured and treated with AuNPs: Dox. At the end of the experiment, blood and liver tissues were processed for biochemical and histopathological analysis. The expression of collagen, HO-1, IL-6 and TNF-α genes involved in liver fibrosis was observed through real-time PCR.

Results:

At the end of the experiment, it was observed that the body weights of DOX treated rats decreased by 0.72%, however, AuNPs and Au: DOX treated rats were 15.3% and 29.13% respectively. The percentage of liver protection determined through alanine aminotransferase and aspartate aminotransferase levels in DOX, AuNPs and AuNPs: DOX treated groups were 39.21%, 79.26%, 98.17% and 47.77%, 84.17%, 97.92% respectively. That represents better recovering liver in Dox-AuNPs treated rats compared to others. Histopathological and gene expression studies further support the findings. The mRNA expression levels of inflammatory and oxidative stress related genes HO-1, IL-6 and TNF-α were upregulated in the injured group but downregulated in the treated group.

Conclusion:

As depicted through biochemical, histopathological and gene expression studies, Au: DOX conjugate group seems to be protective against liver fibrosis.
International Virtual Exchange Conference (IVEC) 2021 special issue: editorial
Authors: Gruber Alice , Pearl Mona
Published: October 2022

We are excited to bring you this Special Issue of the Journal of Virtual Exchange, the third volume to publish articles resulting from the International Virtual Exchange Conference (IVEC) 2021. This special issue features two research articles and one practice report presented at IVEC 2021. Each manuscript underwent a double-blind review, followed by rigorous editing and revising. The Virtual Exchange (VE) research in this special issue ranges from VE in pre-service teacher education to faculty inequity in the context of VEs. Fuchs et al. focus on task design and mediation in a pre-service teacher context. Dietrich and Jiménez et al. examine critical aspects experienced in various challenging environments.
Citizenship education in the Covid-19 era: How to become a digital citizen?
Authors: Azis Abdul , Maftuhin Maftuhin , Nugraha Dadi Mulyadi
Published: October 2022

Online learning that is applied to the Citizenship Education course as a result of the Covid-19 pandemic presents quite a challenge for the character development of students. With this, of course, raises a question, how can student character development be carried out only through online learning? By using the Research and Development (RD) research design, this study seeks to reveal an effort to develop student character so that they can become digital citizens in the midst of the Covid-19 virus pandemic through Citizenship Education learning. The results show that the development of student character through the application of the concept of digital citizenship in online learning of the student-centered Citizenship Education course can be carried out effectively. This is because learning Citizenship Education which is implemented effectively is able to direct students to think critically about contextual problems that occur, so that students can show their character as digital citizens by instilling basic religious and cultural values in applying and mastering science and technology and the arts. with great responsibility.
Aceh's special autonomy in the perspective of asymmetric decentralization policies
Authors: Suharno Suharno
Published: October 2022

This paper aims to reveal the implementation of autonomy in Aceh by using descriptive research methods through literature review. Based on the analysis of the literature sources, it can be found that the policy of regulation and division of territory as well as the pattern of relations between the Central Government and Regional Governments at the beginning of independence were pragmatic and tended to generalize, this could lead to armed conflicts such as in Aceh. Thus, an asymmetric decentralization policy is needed so that it can meet the demands of the Acehnese people, which historically, geographically, and socio-religiously have their own uniqueness and have made a major contribution to the struggle to achieve and maintain Indonesian independence.
Students multicultural awareness of Aceh dormitory in Yogyakarta
Authors: Hikmah Lailatul , Suharno Suharno
Published: October 2022

Several provinces in Indonesia have regional dormitories in Yogyakarta. This allows each student from various regions to have awareness of their respective ethnic identities, even though this has the potential to create horizontal conflicts. This study aims to describe how Aceh dormitory students in the city of Yogyakarta interpret ethnic identity and how intercultural communication relationships with other ethnicities and the surrounding community and how their views are related to the disintegration of the nation. This research is qualitative research using data collection techniques through interviews. The results showed that Acehnese students were aware of the ethnic identity that was the basis of the hostel and they saw that ethnic identity was important. Aceh dormitory students also introduce culture in cultural events, through which intercultural communication with other ethnicities and the surrounding community can be established. They think that as sons and daughters of the region, they should be proud of their respective ethnicities, but still have to uphold an attitude of inter-ethnic tolerance, so that this awareness does not cause the nation's disintegration.
Analysis of the debate on the concept of the state and citizens in the BPUPK meeting treatise
Authors: Syarifa Syifa , Japar Muhammad , Maiwan Mohammad , Hamzah Intan Suria Binti , Fadillah Dini Nur
Published: October 2022

In the learning of Pancasila and Civic Education, discussions about BPUPK are often attached to the debates about the formulation of Pancasila as the national principle. In fact, the debates in the BPUPK meeting did not only concern to the national principle, but also about the concept of the state and the citizen. This research aims to analyze how the debate over the concept of the state and citizen is in the treatise of the BPUPK meeting. This research used a qualitative approach with library research methods and qualitative data analysis techniques. The results of this research showed that the debate on the concept of the state was divided into two, namely the debate in the form of the state which is faced with the form of a unitary state, union state and  state union, and the debate in the form of government which was faced with the monarchy and republic. Furthermore, the debate about citizens was also divided into two, namely the debate on citizenship for foreign descendants which debates whether or not to make foreign descendants as Indonesian citizens in the Constitution, and the debate on the rights of citizens that debates whether to include or not, the rights of citizens in the Constitution.
Interrelated values between Bhineka Tunggal Ika and religious moderation to strengthen pluralism in Indonesia
Authors: Apandie Chris , Rahmelia Silvia , Risvan Latupeirissa , Kodun Nadi
Published: October 2022

Along this times, motto or watchword is no longer interpreted as values that must be transmitted. This condition also causes polarization in society. The purpose of this research is to identify and elaborate the values contained in Bhinneka Tunggal Ika and Religious Moderation to strengthen conception and practices of pluralism in Indonesia. This research used qualitative approach with a case study method. Data collection were performed by Focus Group Discussion (FGD) with experts in fields of multicultural education, historian and philologist. Based on results, interrelated values between Bhinneka Tunggal Ika and religious moderation are togetherness, justice, respect and harmony. Researchers also found several interpretations by this research on findings and discussion, i.e 1) Religious moderation teaches how to respond the differences, this is accordance with the principle of unity within diversity in Bhinneka Tunggal Ika; 2) Justice can realized not only when we act in an equality, but also when we are able to live coexistence where there is no envy of each other; 3) Conception of respect and empathy is a national commitment and part of togetherness value in Bhinneka Tunggal Ika; 4) Public empathy as an encouragement from collective awareness and also a sense of togetherness is several background for embodiment of behavior in implementation Bhinneka Tunggal Ika and religious moderation. From these values, step to put forward are mainstreaming of justice principle and recognition of different entities to strengthen pluralism in Indonesia both in education and wider community.
Development of alternative models for early detection of religiously legitimated anarchism in Bali Province
Authors: Handayani Ni Nyoman Lisna
Published: October 2022

The long-term goal of this research is to develop a model for preventing radicalism in the Bali Region. This research used a front-ended prototype studies development approach. The data in this study were collected by: (1) observation guidelines, (2) clinical interview guidelines, (3) questionnaires, (4) document study guidelines, (5) focus groups discussion, and (6) interrater validity factors. Data analysis will be carried out using the EFA and SMART methods combined with SaSHA (satisfication stake holders appraisal) analysis. The research products consist of: (1) mapping of social modalities and cultural modalities of traditional villages, (2) mapping of potential strengths and weaknesses of each traditional village, (3) profile of each traditional village, (4) preliminary model for preventing radicalism and terrorism based on local values and institutions.
The implication of transformational Teaching on Education And Learning System Act No. 4 1950
Authors: Zulkarnain Zulkarnain , Abdullah Rabaah Binti
Published: October 2022

The purpose of this paper is to study the implication of Act No. 4 of 1950 on Teaching Fundamentals of Elementary School, Middle School, and Higher Education and its implementation to history teachings. This act was the first national formal bill on education policies, passed under the government of Mr. Asaat, the state president of the Republic of Indonesia. Although the state president was the one that created this act, the implementation of the system was introduced to all the other states of the country. This practice was considered uncommon in the state administration of Indonesia. Act No. 4 of 1950 contains the elementary educational purposes to provide students with fundamental knowledge, skills, and wisdom to develop their talent and interest for elementary students. While intermediate education assists the students to prepare for higher education, as well as cultivating experts in various fields according to their talents and fulfilling what society demands. The curriculum in higher education was created to prepare the students to become the future leaders of the society and provide them with the knowledge to conserve and develop the science and livelihood of the society. Act No. 4 of 1950 also influenced how history education goes. History should be able to be implemented into a learning process that can elevate the knowledge and cultivate a sense of nationalism in the youth generation of Indonesia
Learning in digital era: Analysis of civic education learning materials for students in junior high school
Authors: Devi Lathifah Sandra , Rejekiningsih Triana , Rusnaini Rusnaini
Published: October 2022

This study aims to find out obtain the results of analysis learning materials Civic education in junior high school at digital era. Analysis of civic education learning materials for student in junior high school is focused on Banten Province. This study was conducted using descriptive quantitative approach. The data collection technique used purposive sampling technique. The sample used to obtain the data is junior high school student respondents to civic education in the digitalization era in Banten Province who were randomly selected in Eight grade and consisted of 40 respondents. Data were collected through the process of observation, interviews, and filling out a questionnaire in the form of a questionnaire. The results of this questionnaire data are then processed and made in the form of percentages in the form of tables and figures chart. Analysis of Civic education learning materials for students’ junior high school at digital era found that in the learning process, learning materials that use technology are needed so that learning is more creative and innovative. This can be seen based on the percentage of statements agreeing to the needs of students' learning materials civic education in junior high school at digital era, namely 65.4% agree and 34.6% disagree. Then the results of the analysis of the needs of students' teaching materials will be used to design the development of civic education in junior high school teaching materials in the digital era.
Success factors of customer e-loyalty for self-service banking technologies using analytical hierarchical process: A study on kingdom of Saudi Arabia
Authors:   Department of Management Information System, Faculty of Economics and Administration, King Abdulaziz University, Jeddah, Saudi Arabia, Albugami Moteb Ayesh
Published: October 2022

The purpose of this paper is to identify the key success factors of customer loyalty for self-service banking technology. Further, these factors are ranked and classified into three broad categories using the analytical hierarchical process (AHP). Customer satisfaction, customer trust, and brand image emerged as the top three criteria of customer loyalty in Self Service Technologies. Some important factors of customer loyalty have been identified in this study. This will help the bankers in shaping their marketing strategies and developing e-loyalty programs.
Some Aspects of Marine Meteorology and Air-Sea-Wetland-River Interactions During Hurricane Ida (2021)
Authors: Hsu Shih-Ang (S.A.)
Published: October 2022

In August 2021 Hurricane Ida devastated southeast Louisiana. On the basis of numerous pertinent meteorological-oceanographic (met-ocean) information including datasets and graphics as supplied by various public agencies, several unique topics related to marine meteorology and air-sea-land interactions are investigated. It is found that a newly proposed revised relation between minimum sea-level pressure and maximum sustained wind speed is verified during Ida. Characteristics of the rapid intensification, defined as an increase in the sustained winds of a tropical cyclone (TC) of at least 30 knots in a 24-hour period, is presented. Severe wave steepness (≥1/20) was measured continuously for approximately 3 hours when the wind speed ranged between 35 to 45 m s-1 at 38 m and the wave direction was from the east. Estimations for the wind stress on the wind-seas and a coastal wetland are presented. Finally, hydro-meteorological phenomena related to the Mississippi River flow reversal and the storm surges along the river levees are also revealed. For operational use, estimation methods and forecast formulas related to above topics are also provided.
Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities
Authors: Maletzky Alexander , Böck Carl , Tschoellitsch Thomas , Roland Theresa , Ludwig Helga , Thumfart Stefan , Giretzlehner Michael , Hochreiter Sepp , Meier Jens
Published: October 2022

Electronic health records (EHRs) have been successfully used in data science and machine learning projects. However, most of these data are collected for clinical use rather than for retrospective analysis. This means that researchers typically face many different issues when attempting to access and prepare the data for secondary use. We aimed to investigate how raw EHRs can be accessed and prepared in retrospective data science projects in a disciplined, effective, and efficient way. We report our experience and findings from a large-scale data science project analyzing routinely acquired retrospective data from the Kepler University Hospital in Linz, Austria. The project involved data collection from more than 150,000 patients over a period of 10 years. It included diverse data modalities, such as static demographic data, irregularly acquired laboratory test results, regularly sampled vital signs, and high-frequency physiological waveform signals. Raw medical data can be corrupted in many unexpected ways that demand thorough manual inspection and highly individualized data cleaning solutions. We present a general data preparation workflow, which was shaped in the course of our project and consists of the following 7 steps: obtain a rough overview of the available EHR data, define clinically meaningful labels for supervised learning, extract relevant data from the hospital’s data warehouses, match data extracted from different sources, deidentify them, detect errors and inconsistencies therein through a careful exploratory analysis, and implement a suitable data processing pipeline in actual code. Only few of the data preparation issues encountered in our project were addressed by generic medical data preprocessing tools that have been proposed recently. Instead, highly individualized solutions for the specific data used in one’s own research seem inevitable. We believe that the proposed workflow can serve as a guidance for practitioners, helping them to identify and address potential problems early and avoid some common pitfalls.
Design and Development of Risk Assessment Software for the Home Care of Older People with Stroke: Theory and Framework (Preprint)
Authors: Huang Lingyi , Huang HouQiang , Wang JianXiong , Liao RuYu , Zhou XingChen , Deng Ya , Pu XiaMin , Guo ShengMin
Published: October 2022

BACKGROUND

Adequate and timely risk assessment for stroke care is a key factor in effectively reducing acute complications of stroke. However, assessments are conducted only by health care professionals in the hospital, and it is difficult to continue assessments after discharge. Therefore, it is necessary to strengthen the risk assessment of post-discharge stroke care for older people at home, and innovative developments, such as the internet and virtual reality, have provided new ways of out-of-hospital assessment.

OBJECTIVE

In this study, risk assessment software is designed based on a hospital information management platform and mobile smart terminal to provide scientific care assessment and guidance to the community and families to reduce the occurrence of care risks.

METHODS

In this study, the International Classification of Functioning, Disability, and Health (ICF) theory, human-computer interaction theory, and situational learning theory were used as the theoretical framework of software design. Based on the results of the preliminary home care risk survey, the literature review method and Delphi expert consultation method were used to determine the assessment content framework. A multidisciplinary team of experts in neurology, rehabilitation medicine, geriatrics, sociology, psychology, computer science, etc., was formed to collaborate on constructing the assessment software operation framework.

RESULTS

We named the software "Stroke Home Guard (SHG)". The assessment content framework is based on four areas: body function and structure; activity participation; environment; and personal factors, including 19 care risk points (falls, pressure sores, aspiration, etc.). The operating system framework has two ports: the patient's mobile terminal and the medical and nursing terminal, including disease assessment, high-risk monitoring, online medical care, emergency assistance, and other modules. The core function is that the patient completes a condition assessment through the combination of self-assessment by the software and professional assessment by the medical and nursing terminal. By summarizing the assessment scores and classifying the warning risk level, this software can help us carry out preventive measures to avoid stroke risk.

CONCLUSIONS

The stroke home care risk assessment software adopts a multidisciplinary theoretical framework to make the assessment systematic and comprehensive, ensuring the timeliness and accuracy of the assessment while improving the safety of home care, meeting individualized care needs, and improving the level of community and family continuity of care.
Leveraging Clinical Notes and Natural Language Processing for Dementia Detection (Preprint)
Authors: Liu Ming , Beare Richard , Andrew Nadine
Published: October 2022

BACKGROUND

Routinely collected data (e.g. coded hospital data, clinical notes) are widely being used to develop dementia prevalence estimates. This is limited and often returns low sensitivity (around 0.14-0.26) because dementia is not always recorded in the hospital notes in such a way as to allow hospital coders to code for dementia.

OBJECTIVE

We aim to develop various NLP models with clinical notes for more accurate identification of dementia than using structured (coded) data.

METHODS

After filtering patients who were admitted before 2021 in Peninsula Health, the Australia National Care Heathy Ageing data team established three validation cohorts based on 1048 patients: (1) confirmed dementia, (2) confirmed non-dementia, and (3) possible/uncertain dementia. 62 dementia related terms and phrases were identified by medical experts, we extended the list with UMLS and generated 245 dementia related key concepts. For each patient, all the clinical notes were used. We applied a fine-tuned MedCat model on the clinical notes and generated the corresponding UMLS annotations for each patient. For model development, we developed four statistical Machine Learning models: Naive Bayes, Logistic Regression, Support Vector Machine and RandomForest, as well as a Deep Learning pipeline which combines text selection and a fine tuned ClinicalBioBERT. We evaluated the above models within two settings: fine grained (dementia, non-dementia, uncertain) and binary (dementia vs non-dementia) classification. 10 fold cross validation was used to evaluate the classifiers’ performance.

RESULTS

We found that the dementia patients had three times more medical notes than non-dementia patients (241-283 v.s. 66-74). In the dementia group >25% of documents were progress notes. Among the four statistical models, Random Forest performed the best for binary classification and Linear SVM performed the best on fine grained classification. The deep learning pipeline didn’t perform well, the main reason could be that the black box encoding of the ClinicalBioBERT results in heavy information loss.

CONCLUSIONS

The 245 dementia related UMLS concepts that we recognize are useful for dementia detection based on medical notes. Random Forest and Support Vector Machine achieved the best performance for binary and fine grained dementia classification. Deep learning models are not ready yet for the low resource biomedical classification tasks.
Income Inequality in Indonesia: Which Aspects Cause the Most?
Authors: Sulistyaningrum Eny , Michael Tjahjadi Alexander
Published: October 2022

Introduction/Main Objectives: This study discusses the three main aspects of inequality: the level of education attained, urban-rural area, and gender. Background Problems: Inequality is one of the fundamental economic problems in Indonesia that has the potential to cause the non-optimal distribution of resources, economic instability, and may even lead to an economic crisis. Novelty: This study provide a new perspective on the differences in findings for the aspects of gender, education, and geographic factors on income inequality Research Methods: This study uses the Theil index for decomposition analysis and quantile regression analysis to analyze each class of income, particularly in the context of income inequality factors. Finding/Results: The findings show that, male workers in the lower class have a greater income than female workers. In addition, workers with an elementary school level experience higher inequality than workers with other levels of education do. Moreover, higher inequality occurs for urban workers in both the upper and lower classes, compared to workers in rural areas. From quantile regression analysis, the results show that, income inequality between men and women is reducing. The number of completed years has less influence compared to that in earlier periods, because more and more people enter education to increase their income. Lastly, urban workers have different incomes from rural workers, though the gap is reducing. It means both urban and rural workers have greater opportunities to earn a better income. Conclusion: Gender plays an important role in income inequality. The length of education has constantly affected income inequality as well. In the context of the area, urban workers normally have higher incomes.
The Impact of Directive Leadership on Innovative Work Behavior: The Mediation Role of Continuance Commitment
Authors: Mutmainnah Dhyah , Yuniarsih Tjutju , Disman Disman , Sojanah Janah , Rahayu Muji , Nusannas Iman Sidik
Published: October 2022

Introduction/Main Objectives: The aim of this study is to test the effect of directive leadership and continuance commitment on innovative work behavior while also explaining the mediating role of continuance commit­ment and the effect of directive leadership on innovative work behavior. Background Problems: Managing innovative employee behavior is an integral component of sustainable organizational development. Innova­tive work behavior (IWB) is very important for improving organizational performance. Many studies have identified the antecedent factors of IWB. Novelty: The novelty of this research is finding a new concept of innova­tive work behavior, through the combination of the mediation construct of continuance commitment, further established under the terms of "The Improvement Model of Innovative Work Behavior based on Directive Leadership through Integration Strategy by Continuance Commitment." Research Methods: This research’s design is hypothesis testing research and the type of research design it uses is survey research (non-experi­men­tal). This study uses the indicators from only one dimension of leadership and one organizational commitment category, so there are some empirical gaps between this and the results of previous studies. The sample in this study was 120 civil servants from PPPPTK TK and PLB Bandung. In assessing the empirical model this study used partial least square structural equation modeling (PLS-SEM) analysis. Finding/ Results: The results of this study show that directive leadership has a positive and significant impact on continuance commitment, and conti­nuance commitment has a positive and significant influence on innova­tive work behavior. The effect of directed leadership on innovative work behavior is fully mediated by the continuance commitment, which is positively associated with innova­tive work behavior, but it is not signi­ficant. The influence of directive leadership on innovative work behavior is more favorable and significant as a result of the continuance commit­ment. Conclusion: This study concludes that directing leadership has an indirect effect on innovative work behavior through the mediating varia­ble of continuance commit­ment, implying that directive leadership might indirectly promote inno­vative behavior through the continuance commit­ment. The assumption is that if a leader is effective at directing staff, there will be an increase in employees’ continuance commitment, and if commitment improves, there will be an increase in innovative work behavior.
Role of Profitability, Business Risk, and Intellectual Capital in Increasing Firm Value
Authors: Pangestuti Dewi , Muktiyanto Ali , Geraldina Ira , Darmawan Darmawan
Published: October 2022

Introduction/Main Objectives: This research illustrates the importance of firm value, both to investors and companies. Investors assess that an increase in the value of a company indicates a positive view of the company's performance, which leads to an investment decision. Besides that, an increase in the value of the company can indicate that the company is getting closer to achieving its goal, namely increasing the welfare of its stakeholders. Background Issues: In recent years, there has been a decline in the value of firms in the mining sector due to various factors that have affected it, which has resulted in a decrease in the value of the shares in several of the sub-sectors, especially the coal mining and petroleum sub-sectors. Novelty: This study examines the business risk and intellectual capital that are typical of firms in the mining industry with the generalized moments’ methods. Research Methods: This research is a quantitative study that uses the generalized moments methods, where the robust least square test determines which model is more suitable for use in the research. The variables in this study consist of profitability, intellectual capital, and business risk, with variable controls being the gold price, exchange rate, and petroleum price. This study uses annual financial statements from mining companies that are listed on the Indonesia Stock Exchange. These statements include balance sheets and income statements. Finding/Results: These findings reveal that profita­bility, intellectual capital, and business risk affect the value of a company. Macro­economic factors as the variable controls, namely gold prices, exchange rates, and petroleum prices, also affect the value of a company. Therefore, based on the research’s results, management must pay attention to internal factors or company micro factors (profitability, intellectual capital, and business risks) and macroeco­nomic factors (gold prices, exchange rates, and petroleum prices) to increase company value. This is because investors use these factors when making decisions to invest in the mining sector. Conclusion: There are several important factors that, in principle, increase the value of a company. These factors come from internal and external factors (macroeconomics). This article successfully demonstrates the importance of profitability, intellectual capital, and business risk in supporting firm value. The results also showed that the gold price, exchange rate, and the price of oil have an effect on the price of mining stocks, which are used to measure changes in the economy
Does the Costless Identification of Contributors Affect the Intuitiveness of Prosocial Behavior?
Authors: Pradiptyo Rimawan , Wibisana Putu Sanjiwacika
Published: October 2022

Introduction/ Main Objectives: This study investigates whether relaxing the assumption of the non-anonymity of participants in an experiment of a finitely repeated public-good game with randomly matched players affects the intuitiveness of prosocial behavior. Background Problems: Various studies show that, in general, participants of social dilemma game experiments tend to be intuitive in choosing prosocial behaviour, whereas non-cooperative behavior tends to be slow. Other studies show that experiments which induced the non-anonymity of participants promote prosocial behavior, however, these studies did not impose non-anonymity on the participants. Novelty: This study aims to fill the literature gap on whether introducing non-anonymity of participants in a social dilemma game experiment may affect the intuitiveness of prosocial behavior. Research Methods: This study used a laboratory experiment of finitely repeated public-good games with randomly matched players in each stage. The main difference between the control and the treatment groups lay in the anonymity of participants in the interaction, where participants in treatment group are exposed to the photo of their opponent. Finding/Results: The results show that relaxing the anonymity setting improved the participants’ contributions to the public-good game; however, their prosocial behavior became less intuitive than non-cooperative behavior. Conclusion: This paper demonstrated an attempt to fill the gap in the literature between the intuitiveness of prosocial behaviour and the role of identity in prosocial behavior.
What Do Opinion Leaders Share from the New Normal on Twitter?: A Qualitative Content Analysis
Authors: Yusharyani Puluhulawa Fitrah , Rajiyem Rajiyem
Published: October 2022

The question of what kind of content people share on social media is brought up by the COVID-19 pandemic and new normal policy. The government's well-coordinated campaign and the opposition's harsh comments are two of the reasons Indonesians actively utilize Twitter in relation to the new normal. This study intends to characterize and evaluate the presentation of new normal messages by opinion leaders on Twitter between May 16 and 29, 2020, since opinion leaders have historically been the network's active pioneers on a topic. The theories used for this study are self-presentation, opinion leaders, and the social media approach. The accounts of opinion leaders are determined through Drone Emprit's release of Top 100 New Normal Influencers, which then, generated six profiles: @haikal_hassan, @haris_azhar, @msaid_didu, @ridwankamil, @ismailfahmi, and @kurawa. The qualitative content analysis method was employed in this study with inductive reasoning. The findings revealed seven categories of new normal statements by opinion leaders, which corresponded to three key speech themes: 1) economic issues, 2) the implementation order of new normal life, and 3) negative sentiments. Additionally, we discovered that when opinion leaders create online personas, they do not aim to transcend the most fundamental parts of their backstage selves. Instead, they establish personas and personalities that are based on the same characters from the offline world. Meanwhile, this study suggests how the data might be useful for the Government, to consider the capacity of text-based platforms to help them learn about behaviors and needs during or even post-pandemic.
Evaluation of Nutritional Composition of Ripe Date Fruit (Phoenix Dactylifera L.) pulp and Seed grown in Nigeria
Authors: Odunayo Olabinjo Oyebola , Omowunmi Sama Mercy , Samuel Babatope Okikiola
Published: October 2022

Date fruit (Phoenix dactylifera L.) is rich in both macro and micronutrients, including vitamins. Several researches have been carried out to determine the nutritional properties of various varieties of date fruit, however, there is currently no study that compares the nutritional composition, total phenolic content and sugar content of ripe red and yellow date. Proximate composition of ripened red and yellow dates was analyzed, the total phenolic content, Vitamin C and sugar contents were also determined. The moisture content in the date samples were 4.87 % and 5.76 %; ash content 1.05 % and 1.08 %; protein content to be 3.11 % and 1.37 %; carbohydrate content to be 60.6 % and 61.02 %; fat content to be 18.02 % and 17.4 % and crude fibre content in the two date samples was determined to be 12.3 % and 13.2 % for Red and Yellow variety respectively. Carbohydrate content of the red date was significantly higher than that of yellow date fruit with both having 14.87% and 9.10% respectively Vitamin C content of red and yellow date was 1.71 mg/100g and 1.46 mg/100g respectively. Vitamin C content of the varieties were fairly low; however, phenolic content was high. The total phenolic content of the red and yellow date was 37.91 mg/100g and 43.55 mg/100g respectively. The finding of this research helps in understanding the nutritional composition of two different varieties of the Nigerian date fruits which can be a basis for developing value-added supplements and nutritious food in the food industry.
The Impact of the Industrial Revolution on Society in Charles Dickens' Hard Times
Authors: Mejbel Abdulqader Sulaiman
Published: October 2022

The industrial revolution during the eighteenth century had many favorable outcomes. Through the Victorian era, there was rapid progress due to industrialization. This divided society into the rich and the poor. Charles Dickens’s novel "Hard Times" is considered one of the early works that had a critical perspective on the effects of the industrial revolution on working life. This paper analyses Dickens’s opinion on the events that were witnessed during the Industrial Revolution. Though he criticizes the sudden changes due to industrialization, he was not against the industrial revolution. It can be seen that his concern for the people made him reach out to bring about the necessary changes in the lives of the factory workers. The goal of the research is to understand how industrialization affected society from the writer's perspective.
Result Obtained in the learn of Generalized Derivations of Prime Rings
Authors: Agrawal Mrs. Shubhi , Chandel Dr. Jyotsna
Published: October 2022

Abstract: In this subsection, we will assume that R is a prime ring that H is a generalization of R, that L is a noncentral Lie idyllic of R, and that 0≠ ࢻ ∋ ࡾ .If s, t ≥ 0 and n > 0, then for all u in L, aus(H(u)n)u(t) must equal 0. All of them fit neatly inside the specified ranges of integers. H(x) = bx for every x ∈ R if and only if s = 0 and b = 0; this is not the case if R satisfy s4, the normal uniqueness in four variables. In this context, b stands for the Utumi quotient ring of the right side of R. The set R is said to meet the S4 condition if and only if the function H(x) is equal to bx. Once s is equal to zero, H(x) equals bx for every x in R. It follows that H = 0 if and only if s > 0 and R does not meet S4 the requirement.
Sex Determination by Pelvis: A Mini Literature Review
Authors: Joon Vandana , Rohatgi Dr. Richa
Published: October 2022

Abstract: An endeavor involving the application of physical anthropology in the context of civil or criminal cases is forensic anthropology. Determination of sex is the matter of absolute attention for a forensic anthropologist as it is the first step towards positive identification process after discovering the skeletal or bone remains of human origin. Pelvic Girdle is the most sexually dimorphic part of human skeleton which estimates the result with an accuracy of 95% and along with sacrum i.e. pelvis it estimates the sex with 98% accuracy and it decomposes slowly than other parts. Sex can be estimated by skeletal remains only in adults as the marked variations on bones be in terms of morphology or size are visible only after attaining puberty. Methods involved in sex estimation process are Morphological, Metric and Radiological. The Morphological method accords the result by considering the morphological sexual traits on pelvis and in contrary the Metric method involves measurement of bones and indices. Metric recipe should be applied in combination with Morphological results as Morphometric in order to get more accurate results. Whereas, in radiological recipe radiographs of collected remains are taken from which certain measurements and morphologic observations can be carried out. Quantitative and statistical analysis can be done using these mentioned methods. Skeletal features may vary with population. Bones are very frail in nature so, in turn, cannot be collected fully thus when fragmented remains are collected the morphometric method is of ultimate importance in the estimation process.
Literature Review on Application of Natural Language Processing and Machine Learning Techniques for Risk Prediction of Mucormycosis
Authors: U Kavitha , Rao Babu
Published: October 2022

Abstract: Mucormycosis is an infection caused by fungi capable of angio-invasion that is associated with high mortality and morbidity. Recently, An AI device was developed for detecting mucormycosis using Fourier Transform Infra-Red(FITR) sensors where human serum samples were tested using Fourier Transform Infra- Red Scanner. To obtain health outcome for various diseases, Clinical NLP has been extensively utilised. Word Embedding techniques and Feature Engineering Models in NLP convert clinical text data from EHR(Electronic Health Record) into useful format that serve as input for machine learning classification algorithms.
A Study on Geo-Branding of Bishnupur Through Cultural Heritage
Authors: Adhurjya Subham , Meshram Sourabh , Nair Akarsh P. , Premlatha S
Published: October 2022

Abstract: Geo-branding is a marketing tool, which can drive visibility and mileage with the advancement of technology. Technology integrated marketing enables connectivity across the globe creating awareness and influence. Destinations can be a strategic tool for positioning brands. This study focuses on Geo-branding as a marketing tool to position the brand Bishnupur in tourists' minds. The purpose of the study is to reinforce local identities to broaden market share. The methodology adopted for the study includes explorative research. A simple random sampling technique was adopted. Our analysis focuses on the differentiating factors about Bishnupur and the possible perception gaps. Statistical analysis includes correlation and regression techniques. The recommendations are based on the research findings.
Identification and Quantification of Staphylococcus Aureus in Saliva at Different Time Intervals Among Dental Personnel Wearing Surgical Masks During Sars Cov2- A Prospective Observational Study
Authors: NS Arungani , A Santha Devy , R Suganya , S Uma Devi , M Sivaramakriashnan , S Vidyalakshmi
Published: October 2022

Our world combats the rapid spread of Covid 19 by wearing face masks which have become the norm. But it's effect on oral microbiome is yet to be studied. Staphylococcus aureus is the leading cause of bacterial co-infection in Covid-19-affected patients worsening their prognosis. Dislodgement of this bacterium from the oral cavity is said to cause many systemic diseases. As dentists are more prone to an aerosolic environment and a potential source of cross-contamination, we intended to identify and quantify S. aureus in the saliva of dental personnel wearing surgical masks. Unstimulated whole saliva samples of 120 healthy dental professionals wearing surgical masks were cultured for S. aureus growth in Mannitol Salt Agar medium for 48 hours at 37°C. After 1 hour and 6 hours of mask usage, the number of colony-forming units counted. After 1 hour and 6 hours of mask usage, 56% and 52.5% demonstrated growth of S. aureus respectively. There was a statistically significant mean reduction of 1.61*103 colony forming units after 6 hours of mask usage. There is a reduction in the prevalence and number of colony-forming units of S. aureus in the unstimulated saliva of healthy dental professionals after 1 hour and 6 hours of surgical mask use. As a result, mask use not only controls the spread of Covid but may also aid in reducing the source and spread of S. aureus cross infection, lowering the risk of morbidity and mortality in diseased patients.
Randomized Control Trial of Functional Outcome between Instrumented Posterior Lumbar Interbody Fusion and Posterolateral Fusion in Degenerative and Isthmic Adult Spondylolisthesis.
Authors: R Dr. Venkatasubramanian , M Manoharan , V Venkatram , V Ramkumar
Published: October 2022

Spondylolisthesis is a spinal condition that affects the lumbosacral vertebrae. This disease causes one of the lower vertebrae to slip forward onto the bone directly beneath it. It's a painful condition but treatable in most cases. Although spondylolisthesis can be asymptomatic, patients with degenerative and isthmic spondylolisthesis typically present with low back pain, neurologic symptoms, and/or radicular symptoms. The surgical treatment of spondylolisthesis is indicated for cases of neurogenic claudication, intractable radicular pain, severe low-back pain, presence of neurological symptoms, failure of conservative management, radiological instability, progressive worsening of the listheses, Meyerding grade III and IV listhesis, and spondylosis. The ideal surgical treatment remains controversial. We have compared the functional outcome following instrumented posterior lumbar interbody fusion and posterolateral fusion for adult spondylolisthesis in our study. The prospective study was conducted in the Department of Orthopaedics. A total of 30 patients who satisfied both the inclusion and exclusion criteria and gave informed consent were recruited for the study from January to December 2019. The patients were randomized into two groups. Of 30 patients, Group 1(n=18) underwent Posterior lumbar interbody fusion and Group 2 (n=12) underwent Posterolateral fusion. Random number generators were used for allotting the patients to the specified group. Using Oswestry Disability Index, Japanese Orthopaedic Association Score and Visual Analog Score were used for pre-operative and post-operative functional scoring. The mean age among those who received PLIF was 53.67 years and among those who received PLF was 55.17 years. Spondylolisthesis at L4-L5 comprised 66.7% among those who received PLIF and 58.3 % among those who received PLF. Neurological deficit was present in 66.7% of the participants who had received PLIF and 100% of the participants who have received PLF. Concerning those who had received PLIF as treatment, 11 patients had excellent and 7 patients had better outcome in PLIF group, 7 patients had excellent and 5 patient had better outcome in PLF group.. The mean JOAS pre-intervention score was 6.66 and 6.40 for PLIF and PLF groups, respectively. In the 6th month mean JOAS score of the PLIF group was 11.16 and that of the PLF group was 10.16. The pre-intervention mean VAS score was 6.44 and 6.50 for PLIF and PLF groups, respectively. In both, the groups over the follow-up period mean VAS score had shown a decreasing trend. Our study did not show any significant difference in functional outcome between both groups, however there seems to better short term (3 months) and mid-term (6 months) pain relief in PLIF group when compared to PLF group. Long term follow-up studies along with radiological outcome may help in establishing superiority between both procedures.