bluuebunny/crossref_metadata_2025 huggingface dataset:
The Availability Degree of Leadership Skills for Students of Public Basic Schools in Jordan According to the Japanese Education System Tokatsu
Authors: Al Abboodi Sabeeha Hasan , Al-Soud Rateb Salameh
Published: April 2024

This study aimed at finding out the availability degree of leadership skills for students of public basic schools in Jordan according to the Japanese education system Tokatsu. The study used descriptive survey methodology. The study sample consisted of (220) principals and teachers. To achieve the purpose of the study, a 70-item questionnaire was used for data gathering. The findings showed that the availability degree of leadership skills for students of public basic schools in Jordan according to the Japanese educational system Tokatsu was high. Furthermore, the results showed significant differences at the level of (α=0.05) for the responses of the sample members due to the variable of experience, the differences came in favor of (less than five years), where there were no statistically significant differences at the level (α = 0.05) of the responses of the study sample due to the variable of sex. Job title and academic qualification. In light of the results, the researchers recommended the Ministry of Education to pay attention to educational activities that develop students' leadership skills
The Effect of Using Marzano Model and Renzulli Learning System on Developing Critical Thinking of 10th graders in Jordan in Writing Composition of English
Authors: Al-Tarawneh Siham Mahmoud , Al-Tweissi Ahmad Issa
Published: April 2024

This study investigated the effect of using Marzano model and Renzulli learning system on developing critical thinking of tenth grade students in writing English composition in Jordan. The researchers designed a writing pre-test and post-test to test the students’ skills in writing composition, where its validity and reliability were verified. This study followed quasi-experimental research design methodology. The sample of the study consisted of (233) tenth grade students in Al-Mazar Directorate of Education during the first semester 2020/2021 including (120) male and (113) female students.
The findings indicated that there were statistically significant differences at (α= ≤ 0.05) between the three groups, the (Renzulli, Marzano, and Conventional), in favor of Renzulli learning system. Furthermore, there were no statistically significant differences at (α= ≤ 0.05) that could be attributed to the variable of gender (female and male).
Several recommendations were suggested as conducting further research to investigate the effect of applying Renzulli learning system and Marzano Model with different variables and with other language skills.
The Effect of Using a YouTube-Based Instructional Program in Teaching Listening Comprehension on Students’ Attitudes
Authors: Al-Ghazu Asma’ Mohammad , Bani abdelrahman Abdallah Ahmad
Published: April 2024

This study investigates the effect of using a YouTube- based instructional program that teaches listening comprehension on university students’ attitudes their attitudes. The participants were two groups of students majoring in English Language and Linguistics at the English Department at Jordan University of Science and Technology(JUST). The participants were distributed into a control group of 46 students and an experimental group of 51 students. The experimental group was taught the listening skill through a YouTube-Based instructional program while the control group was taught through the conventional method. An attitudinal questionnaire of three domains of 20 items developed by the researcher was distributed to the participants of the experimental group to find out their attitudes towards the academic significance of the YouTube instructional program. The results showed that the students’ attitudes were positive as the program was reported to have a noticeable effect on improving their listening skill. This study recommends that YouTube be integrated into the EFL classroom to improve students’ listening skills.
Attitudes of Graduate Students in the Faculty of Educational Sciences at Al al-Bayt University Towards using the E-learning Platform Moodle in light of the Corona pandemic
Authors: Al-Suroor Mamdouh Hayel
Published: April 2024

This study aimed to identify the attitudes of graduate Students at the faculty of educational sciences at Al al-Bayt University towards using the e-learning platform Moodle in light of the Corona pandemic in Jordan, to achieve the objectives, the researcher designed an E-electronic questionnaire consisting of (20) items. The validity and reliability of which were confirmed. Distributed to the study sample, which consisted of (304) male and female students at the Faculty of Educational Sciences at the researched university. The study adopted the descriptive survey methodology. The results of the study showed that the degree of attitudes of graduate Students  in the faculty of educational sciences at Al al-Bayt University towards using the e-learning platform Moodle in light of the Corona pandemic from Their point of view was high, With an arithmetic mean (3.74) and a standard deviation (0.86), and there were no statistically significant differences at the significance level (α = 0.05) in the estimates of the study sample members due to the variables (Gender, Department, Path), and in light of the results of the study, the researcher presented a set of recommendations. The most important of which are riving more attention to the application of the E-learning Platform Moodle, in Jordanian universities.
Habits of Mind among 12th Grade Students in the North region within the Green Line in light of some variables
Authors: Tuni Hala Suhail , Al-Shawashrah Omar Mustafa
Published: April 2024

The study aimed to identify the habits of mind among twelfth grade students in the North region within the Green Line in light of some variables. The study used the descriptive survey methodology, and the Ghablan Scale (2021) for data collection, which was applied to an available sample of (492) students. The results showed an existence of statistically significant differences in favor of males in the habits of Flexibility of thinking, perseverance, striving for accuracy, accurate thinking and communicating, Responsibility and risk-taking, questioning and posing problems, in thinking about thinking, staying open to continuous learning, flexibility of thinking, perseverance, reciprocal thinking, impulsive control, questioning and problem solving, in favor of students from families with less than three children, and in favor of families with (> 20,000 dollars) income  in flexibility of thinking, gathering information with all senses, reciprocal thinking: joint work, creation, imagination, innovation, applying previous knowledge to new situations, questioning and posing problems.
The Level of Academic Integrity among Secondary Stage Science Teachers in Virtual Learning Environments in the City of Irbid
Authors: Al-Khatib Buthayna Turki , Bani Khalaf Mahmoud Hasan
Published: April 2024

This study sought to determine the level of academic integrity of science teachers in virtual learning environments. The study sample consisted of (276) male and female science teachers for secondary school, from Irbid directorate of eduation. To achieve the study objectives, data were collected using academic integrity questionnaire after the validity and reliability of the test were assured. The results of the study showed that the level of academic integrity among teachers was moderate. Statistical significant differences were found in the level of academic integrity due to the gender variable, in favor of male teachers, and no statistical significant differences due to experience and specialization variables.
The Role of School Administration in Empowering Educational Consultants and its Relationship with Providing the Incubating Environment for Student Talents in Arab Schools within the Green Line
Authors: Sobh Anwar Ibrahim , Jubran Ali Muhammad , Tawalbeh Hadi Muhammad
Published: April 2024

The study aimed to determine the role of school administration in empowering educational consultants and its relationship with providing the incubating environment for student talents within the Green Line. A descriptive correlational design using a questionnaire was applied. The sample consisted of (1239) individuals, including (250) educational consultants and (989) teachers. Results indicated that the degree of the role of school administration in empowering educational consultants were moderate, and the degree of providing the incubating empowering for student talents were moderate; A statistically significant positive correlation between the degree of the role of school administration in empowering of educational consultants and providing the incubating environment for student talents. The study recommended that the Ministry of Education adopt a developmental training program to motivate school administrations to empower educational Consultant, and to support the school environment and its requirements that provide an appropriate environment incubating student talents.
Obstacles Facing Distance Education in the Northern Jordan Valley, from the Point of View of Principals and Teachers,and Their Suggestions to Overcoming Them
Authors: Hammad Zainab Mohammed
Published: April 2024

The study aimed to identify the obstacles facing distance education in the Northern Jordan Valley from the point of view of principals and teachers, and their suggestions for overcoming them. The descriptive correlational Methodolgy was used for the purposes of the study. The study sample consisted of (60) principals and (300) teachers. They answered the study tool, which consisted of (34) items distributed over four domains, its validity and reliability were confirmed. The results of the study showed that the obstacles facing distance education was medium. As for the order of practicing the fields of study according to their arithmetic averages, it came as follows: (obstacles from the educational content, obstacles from the student, obstacles from technology, obstacles from the teacher), and the results showed that there were no statistically significant differences in the responses of The individuals of the study sample is attributed to the study variables (gender, educational qualification, and years of experience).
The Strategies of Persuasion in Political Discourse: A Comparative Analysis of the Political Speeches of Arab and Non-Arab Leaders During Covid-19 Pandemic
Authors: Al Hawamdeh Reema Ibrahim , Qudah Mahmoud Ali
Published: April 2024

This paper investigated the persuasive methods in Arabic and non-Arabic political speeches during the beginning of Covid-19 pandemic, as well as the similarities and differences between Arab and non-Arab leaders in using persuasive strategies. Data of the study consisted of the political speeches which were concerned with the Covid-19 situation in six different countries of the world, released between March and August 2020. The data analysis examines persuasive methods in political speeches and analyze them using Aristotle's triangle (Rhetorical Triangle). The analysis revealed that persuasive strategies based on Aristotle’s theory (400 B.C) were applied in the six leaders’ political speeches during the beginning of Covid-19 pandemic. Moreover, the results indicated that the most frequently persuasive strategies used by the Arab leaders are pathos and ethos strategies.  Of the three strategies, it could be observed that logos and ethos strategies were the most employed by non-Arab in their speeches.
Technical Note for A Dataset Of Electric School Bus Adoption In The United States
Authors: Lazer Leah , Freehafer Lydia
Published: April 2024

This technical note describes the methods used to create a dataset that tracks electric school bus (ESB) adoption across the United States. The dataset tracks the number of “committed” ESBs at the school district level, as well as details about individual buses, including bus manufacturer and funding source(s). It also contains school district socio-economic characteristics like poverty rates and racial composition, to enable wider analysis including whether the transition to ESBs is happening equitably.
Startups and Angel Investors
Authors: Rios-Campos Carlos , Viteri Jessica Del Consuelo Luzuriaga , Rivadeneira Richard Hamilton Samillan , Rubio Deciderio Enrique Diaz , Avalos Segundo Juan Díaz , Zaquinaula Hilda Elisa Aguirre , Calderón Edilbrando Vega , Rivadeneira Juan Eduardo Suarez , Merino Luis Alfredo Abanto , Vilcarromero Jhesibel Ramos , León Juan José Castañeda
Published: April 2024

The general objective of the research was to determine the advances related to the startups and angel investors. The specific objectives of the research are to identify the most successful angel investors and the countries where angel investors invest the most. Methodology, in this research, 41 documents have been selected, carried out in the period 2018 – 2024; including: scientific articles, review articles and information from websites of recognized organizations. Results, startups have a significant impact on the economy of countries, and go hand in hand with innovation and receiving timely investment. Unicorns achieve global recognition. The largest global markets for venture funding are The United States, China and United Kingdom. Conclusions, angel investors play an important role in financing startups, so it is necessary that they have support from government institutions. The top angel investors in the U.S are Peter Thiel, Ron Conway and Naval Ravikant. The top angel investors in Europe are: Avi Eyal, Danny Rimer and Philippe Botteri. The top angel investors in China are: Neil Shen (Sequoia China / ByteDance / Hong Kong, China), Richard Liu (5Y Capital / Xiaomi / Hong Kong, China) and Zhen Zhang (Gaorong Capital / Pinduoduo / Beijing, China) (Forbes, 2023). Here are 3 angel investors in Africa that should be on your radar: Jérémy Goillot, Réna Kakon and Axel Peyrere. The top angel investors in Australia are: Tracie Clark, Lisa Siganto and Richard Moore. The largest global markets for venture funding are The United States, China and United Kingdom. United Kingdom, Germany and France are the countries in Europe where business angel investments the most.
Evaluation of earthworm meal (Eudrilus eugeniae) as fish meal replacement in juvenile Mangrove Crab (Scylla serrata) diet
Authors: Genodepa Melanie P. , Apines-Amar Mary Jane S.
Published: April 2024

Two feeding trials were conducted to evaluate the performance of the earthworm (Eudrilus eugeniae) meal (vermimeal) as a replacement for fish meal in the diet of juvenile mangrove crab (Scylla serrata) in terms of growth, feed efficiency, intermolt duration, carapace width increment, molting success, survival, and incidence of cannibalism. Four experimental diets were formulated with 0, 25, 50, and 75% fish meal protein replaced with earthworm meal protein, designated as D0, D25, D50, and D75, respectively. In the first feeding trial, the experimental diets were fed to crablets with an initial average weight of 0.09±0.007g. Each replicate comprised ten (10) crablets individually stocked in 750ml-capacity plastic containers randomly distributed in a static water bath. Final weight gain, feed efficiency and survival were measured after the 5th molt. In the second feeding trial, 150 crablets with an average weight of 0.07±0.002g were stocked at 30 crablets each in five (5) replicate tanks. Survival and incidence of cannibalism were monitored daily until the end of the culture period of 30 days. The first study showed that the growth of mangrove crab juveniles fed the diet with up to 50% of the fish meal protein replaced by the earthworm meal protein was statistically comparable to the control group. The survival of crablets in the second feeding trial was highest in D25 (33%), followed by D50 (29%), D0 (18%), and lowest in the group fed with D75 (13%). Overall, earthworm meal (Eudrilus eugeniae) can replace as much as 50% of the fish meal protein in juvenile mangrove crab (Scylla serrata) diet without negative effects on growth, carapace width increment, feed efficiency, intermolt duration, molting success, survival, and cannibalism.
The Role of Influenza Vaccine in Healthcare Workers in the Era of Severe Acute Respiratory Syndrome
Authors: Wilder-Smith A , Ang B
Published: April 2024

The new coronavirus responsible for severe acute respiratory syndrome (SARS) found its first victims in healthcare workers with attack rates of more than 50% before infection control measures were instituted; and this led to the near collapse of healthcare systems in some of the affected countries. In Singapore, healthcare workers accounted for 40% of the total number of SARS patients.
Human Papillomavirus Triage of Patients with Atypical Squamous Cells of Undetermined Significance on Cervical Papanicolaou Smear
Authors: Kirby T O , Huh W K , Partridge E E
Published: April 2024

Introduction: The recent development of affordable human papillomavirus (HPV) testing has prompted consideration of its use as adjuvant and primary screening for cervical dysplasia. This review focuses on the use of HPV testing in triage management of atypical squamous cells of undetermined significance (ASC-US) Pap smears.

Materials and Methods: A Medline search was performed for articles relevant to HPV testing as a triage strategy for ASC-US Paps. Key references from other papers that were not included in the search were also reviewed. Findings from the major randomised trials were then summarised.

Results: Reflex HPV testing with hybrid capture is at least as effective and potentially cheaper than repeat cytology for evaluation of an ASC-US Pap. It also avoids 50% of colposcopies that would normally be performed if immediate colposcopy were done for all ASC-US Paps, while retaining excellent negative predictive value.

Conclusion: Reflex HPV testing using liquid-based cytology is the preferred management strategy for triage of ASC-US Paps.
Bowel Surgery for Epithelial Ovarian Cancer – An Early Case Series
Authors: Chia Y N , Tay E H , Cheong D M O , Eu K W , Low J , Ho T H , Yam K L
Published: April 2024

Objectives: The aims of this study were to review our local experience with bowel surgery for epithelial ovarian cancer at the Gynaecological Cancer Centre, KK Women’s and Children’s Hospital, and to document the outcome of such surgery as well as their complication rates.

Materials and Methods: The retrospective medical records of 38 patients with epithelial ovarian cancer who underwent surgery including bowel surgery from January 1997 to May 2002 at the Gynaecological Cancer Centre, KK Women’s and Children’s Hospital, Singapore, were reviewed.

Results: Indications for surgery were predominantly debulking of disease. Fifty-eight per cent of patients had primary debulking surgery, 34% had debulking of recurrence and 3% had interval debulking. Only 5% of patients had bowel obstruction as the only indication for surgery. Rectosigmoid resection was the most common bowel operation overall, being performed in 76.3% of patients. The stoma rate for rectosigmoid resection was 61%. The remaining procedures included 7 colectomies, 1 intestinal bypass procedure and 1 intestinal diversion procedure. Optimal debulking (defined as <1 cm of residual disease) was achieved in the majority (71%). The median operating time was 4 hours. The median blood loss was 1300 mL. The major complication rate was 10.5%. Major complications encountered were as follows: 1 patient (2.6%) had an anastomotic leak, 2 patients (5.3%) had intra-abdominal abscess and 1 patient (2.6%) developed intestinal fistula. Three patients (7.8%) required a re-operation within 30 days. There were 3 deaths (7.8%) within 30 days of surgery.

Conclusion: Bowel surgery is commonly indicated for epithelial ovarian cancer to facilitate optimal debulking. Such surgery is feasible with acceptable complication rates in our local centre.
Hypovitaminosis D and dementia risk-should Pakistan be worried?
Authors: Shahabi Mariam , Ehsan Aabia , Haseen Ahmed Syed Danish
Published: April 2024

Madam,
According to World Health Organization statistics, about 10 million new cases of dementia are reported annually, with residents of low- and middle-income countries such as Pakistan constituting 60% of cases, a number that is concomitantly rising as the global population ages1. This translates to a greater burden on healthcare systems that already lack a financial and technical workforce; this creates a profound psychological impact on family members, particularly those who take on the daunting role of caregivers. Costs of treatment, diagnosis, consultation, management, and in some cases institutionalisation, represent an immense financial liability. Cultural attitudes towards mental disorders in Pakistani society tend to be negative, and there is a lack of support for dementia patients and their families. Therefore, it is of paramount importance to explore and invest in preventive strategies that aim to reduce the incidence of neurodegenerative diseases among the geriatric population.
A growing body of medical evidence suggests a strong link between serum vitamin D concentrations and the risk of developing dementia in the geriatric population2. A prospective study published in 2022 analysed data from over 294,000 participants in the United Kingdom and sought to investigate the association of 25-hydroxyvitamin D [25(OH)D] concentrations with the risk of dementia and stroke3. Individuals with low serum [25(OH)D], defined as less than 25 nmol/L by the authors, had a 54% increased risk of dementia compared with those who had normal levels, i.e., 50 nmol/L or more. It also reported that up to 17% of dementia cases in the population could be prevented if the blood levels of vitamin D were raised to normal values. While the exact mechanism that underlies its role in neurophysiology is still unclear, it is believed that vitamin D may have neuroprotective effects such as reducing inflammation and amyloid levels in the brain, in addition to stimulating neuronal growth and maturation3.
The current statistics on the prevalence of low vitamin D status in Pakistan are not very encouraging. A cross-sectional study published in 2022 assessed serum vitamin D levels of over 26,000 patients in Karachi who had been referred to a diagnostic laboratory from general outpatient departments4. Vitamin D deficiency (VDD), defined as a serum level of [25(OH)D] below 20 ng/ml, was reported in 56% of the sample, and in 45% of older adults above the age of 50.
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QT prolongation with the use of ondansetron: A neglected and overlooked adverse effect
Authors: Hussain Dania
Published: April 2024

Ondansetron, commonly prescribed under the name ‘Onset’ in Pakistan, is one of the four FDA approved 5HT3 serotonin receptor antagonists for its antiemetic properties. It is commonly used in the prevention of postoperative, chemotherapy and radiation therapy-induced nausea and vomiting.
Due to its comparatively better safety profile, Ondansetron is also used as a first line emetic in treating nausea and vomiting in the emergency department (1) However, the FDA issued a warning in 2011 that Ondansetron can lead to changes in the normal electrical rhythm of the heart, most commonly causing QT interval prolongation, which can lead to potential fatal cardiac arrhythmia such as Torsade de pointes (2). This was followed up by another update in 2012, that QT prolongation occurs in a dose-dependent manner and a single intravenous dose of 32 mg has the greatest effect on the electrical rhythm and should be avoided at all costs (3).
In 2023, a systemic review published by Kamal Deep Singh et al. compared the occurrence of QT prolongation with Ondansetron use in paediatric, adult and elderly age groups. This study provided evidence that IV administration of Ondansetron is associated with QT prolongation in patients older than 18 years of age (4). The risk of QT prolongation and consequent development of arrhythmia is exceptionally high in patients with prior congenital long QT syndrome, underlying cardiac abnormalities, bradyarrhythmias, electrolyte imbalances (eg hypokalemia or hypomagnesemia) and in patients using other medications that are known to cause QT prolongation (5).
Ondansetron is frequently administered in the emergency departments to patients coming with nausea and vomiting without taking into consideration the patient’s prior medical history. It is recommended that a baseline EKG and electrolyte screening should be considered prior to administering ondansetron in patients with known risk factors like a family or personal history of long QT syndrome, congestive heart failure, bradyarrhythmias, concomitant use of other medications that prolong QT intervals, patients using diuretics and patients with underlying renal diseases. Individuals receiving a single dose without the above mentioned risk factors should not be screened (5).
The impact of modifiable lifestyle factors on women’s fertility
Authors: Shujaat Tayyaba , Ahmed Zaheer , Liaqat Saba
Published: April 2024

The current study centred on assessing the effect of various lifestyle factors (diet, physical activity [PA] level, sleep pattern, and stress level) on women's fertility. This hospital-based comparative study was conducted at the Avicenna Medical College and Hospital, Lahore, Pakistan, with 104 females (aged 18-40 years) as participants. Half the participants had a history of infertility and 51.8% had a BMI >25. About 43% and 85% reported intake of “junk food” and “fruit and vegetable (F&V)”, respectively, twice a week. DASS-21 scale endorsed “moderate-to-high-stress” in 58% of the participants. Further, moderate and intense PA was documented in 30% and 20% of the participants. About 37% reported sleeping for Less-Than Or Equal To 5 hours/day. Fertility was significantly but inversely correlated with F&V intake, stress level, and BMI. Less sleep and a sedentary lifestyle had a significantly detrimental impact on fertility.
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Association of podoplanin expression to histopathological grades of oral epithelial dysplasia and oral squamous cell carcinoma
Authors: Shabir Hina , Haider Durrani Sofia , Tariq Sahibzade Fatima , Salam Khatak Sana , Saleem Khan Abbas , Nazir Arbab Kanwal
Published: April 2024

Objective: To determine the expression of podoplanin, and to correlate it with histopathological grades in oral epithelial dysplasia and oral squamous cell carcinoma cases.
Methods: The retrospective, analytical, cross-sectional study was conducted at the City Laboratory, Peshawar, Pakistan, and comprised specimen block data of histologically diagnosed cases of oral benign lesions, dysplastic lesions and oral squamous cell carcinoma from January 2017 to August 2021. Two sections (4um) were cut from each specimen block for Haematoxylin and Eosin staining and immunohistochemistry. The slides were re-evaluated by two pathologists for confirmation of the diagnosis, and podoplanin marker was applied to cases selected using immunohistochemistry. Data was analysed using SPSS 22.
Results: Of the 80 cases identified, 68(85%) were analysed. There were 20(29.4%) benign cases; 11(55%) females and 9(45%) males with mean age 39.90±16.23 years, 20(29.4%) oral dysplastic cases; 14(70%) males and 6(30%) females with mean age 57.75±12.02 years, and 28(41.2%) oral squamous cell carcinoma cases; 17(61%) males and 11(39%) females with mean age 50.55±14.80 years. Podoplanin expression in oral epithelial dysplasia cases was significant (p=0.028), while it was not significant in the other 2 groups (p>0.05).
Conclusion: Podoplanin when used along with histopathological evaluation could help in the diagnosis and grading of oral epithelial dysplasia lesions.
Key Words: Oral epithelial dysplasia, Oral squamous cell carcinoma, Podoplanin.
Prevalence, predictors, and consequences of workplace violence among female healthcare workers in tertiary care hospitals: a cross-sectional study in Pakistan
Authors: Qurat Ul Ain Muhammad  , Muhammad Ibrahim  , Fazal Faizan , Hadia Eiman  , Alishba Shezal  , Saeed Lehrasab
Published: April 2024

Objective: To determine the prevalence, predictors and perpetrators of violence, and its impact on the mental health of female healthcare workers.
Method: The cross-sectional study was conducted from June to October 2022 at three tertiary care hospitals after approval from the ethics review board of Rawalpindi Medical University, Rawalpindi, Pakistan, and comprised female healthcare workers, including doctors, nurses and paramedical staff. Data was collected regarding workplace violence using a structured questionnaire adopted from literature. The incidence of verbal, physical and sexual violence in the preceding 12 months was noted, and predictors were analysed. Data was analysed using SPSS 25.
Results: Of the 140 subjects with an age range of 16-60 years, verbal violence was experienced by 102(72.9%) and physical violence by 26(18.6%), while verbal and physical forms of sexual violence were reported by 33(23.6%) and 13(9.3%), respectively. Those in the Medicine department had significantly lower odds of experiencing verbal violence compared to those from the Surgery department (adjusted odds ratio=0.223; 95% confidence interval: 0.078-0.036; p=0.005). Those in the Emergency department had significantly greater odds of experiencing physical violence compared to those in Surgery (adjusted odds ratio=8.716; 95% confidence interval: 1.693-44.87; p=0.01). Violence had a significant detrimental impact on the mental health of female healthcare workers (p<0.05).
Conclusion: Violence was found to be prevalent in the healthcare sector, specifically in stressful and critical-care departments, like Emergency and Surgery.
Key Words: Workplace violence, D064450P, Female healthcare workers, Sexual harassment, D017406, Physical violence, D000066550.
HOW CAN THE DEVELOPMENT OF E-GOVERNMENT IN THE EUROPEAN UNION INCREASE? BUILDING AN EXPLANATORY STATISTICAL MODEL
Authors: PRICOP Ionuţ-Andrei , RUSANU Beniamin Petru
Published: April 2024

The main premise from which we start in the construction of this article is that, in the contemporary era, the need for digitalization and facilitating access to public services has become an imperative in the vast majority of liberal-democratic states. Digitalization is an inevitable process in the natural course of the contemporary age, considering that its benefits have been more than tangible in the vast majority of cases, and e-Government is precisely a concretization of the benefits of digitalization. However, the development of e-Government is not a simple process, as it requires the presence of several factors, which this article will present, analysing their relevance. Moreover, in this article we will also note the main structural differences at European level in the implementation of e-Government: which countries have reached an advanced level of e-Government development, which countries have serious problems in developing e-Government and, above all, why these differences exist.
ACCELERATING GREEN TRANSITION IN CENTRAL AND EASTERN EUROPE - OVERVIEW OF SOME EU-11 GREEN SPECIFIC STRATEGIES
Authors: VAJDA Boglarka , DRĂGAN Gabriela
Published: April 2024

This study examines the state of research on green transition, with a focus on circular economy, and bioeconomy, across eight Central and Eastern European countries (EU-11): the four Visegrad countries plus Slovenia (who joined EU in 2004), and the later entrants Romania, Bulgaria (2007), and Croatia (2013). A systematic review of peer-reviewed articles (2015-2023), along with official documents, forms the basis of analysis. The paper identifies the status of green and circular transition research in EU-11, highlighting key policy interests, including the need for coordinated strategies, cooperation, stakeholder engagement. The study also evaluates the influence of EU accession timing on green transition dynamics and underscores the importance of national efforts in shaping these strategic visions. While circular economy strategies are in place for most countries, dedicated bioeconomy strategies are still lacking, with Visegrad countries and Croatia currently under development.
COGNITIVE AND PSYCHOSOCIAL FACTORS ASSOCIATED WITH THE PRACTICES OF BREAST SELF-EXAMINATION AMONG FEMALE YOUTHS IN THE UNIVERSITY OF IBADAN, OYO STATE.
Authors: Adeteye Damilola E , Ndikom Chizoma M , Ishola Adeyinka G , Oduyemi Rachael O , Adewole Abimbola D
Published: April 2024

Introduction: Breast self examination, a screening technique for breast cancer, is advocated due to ease of use. However, several factors have hindered practice. This study aims to examine cognitive and psychosocial factors associated with practice of breast self-examination among female youths.
 
Methods: The study adopted descriptive cross-sectional design and was done in University of Ibadan. Structured sampling technique was used to select 149 respondents. Data was collected using structured questionnaire. Statistical Package for the social science (SPSS 21) was used. Data were presented as frequency and percentages while chi-square test and regression were used to test hypotheses.
 
Results: Mean age of respondents was within 21 and 25 years and 99.3% were aware of Breast self-examination. The mean knowledge of technique among participants was 52.45%. Association was found between knowledge and practice of breast self-examination. (x2 = 15.15, P=0.004). There is relationship between significant cognitive factors and practice of technique which were forgetfulness (x2  = 7.66, P=0.005) and lack of procedure demonstration(x2 = 7.93, P=0.005). Implicating psychosocial factors: lack of motivation (x2  = 1.31, P=0.050), lack of trust in performance (x2  = 1.65, P=0.040), and nervousness (x2  = 0.23, P=0.035) had statistical association in practice of breast self-examination.
 
Conclusion: There are cognitive and psychosocial factors hindering practice of breast self-examination among youths. Education addressing factors will increase regular practice.
Ảnh hưởng của áp suất cao nhiệt độ cao đến thời gian quánh của vữa xi măng trong quá trình bơm trám giếng khoan tại bể Nam Côn Sơn
Authors: Trương Hoài Nam
Published: April 2024

Thời gian quánh (thickening time) là thông số quan trọng ảnh hưởng đến quá trình trám xi măng giếng khoan, quyết định chất lượng và hiệu quả thi công giếng khoan. Trong quá trình bơm ép, thời gian quánh của vữa trám cần phải lớn hơn khoảng thời gian thao tác bơm trám. Ngược lại, sẽ xảy ra các sự cố do xi măng đóng rắn trước khi triển khai các quá trình công nghệ, dễ dẫn đến các phức tạp và sự cố, gây tốn kém vật tư và chi phí, kéo dài thời gian thi công. Hiện nay, xi măng Portland G-API - loại xi măng phổ biến để trám các giếng khoan sâu - vẫn được sử dụng để trám các giếng khoan dầu khí. Tuy vậy, trong điều kiện áp suất cao, nhiệt độ cao tại bể Nam Côn Sơn cần thiết phải bổ sung phụ gia bền nhiệt silica để bảo đảm thời gian quánh của vữa xi măng phù hợp với các điều kiện trong giếng khoan.
Cardiac Disease Diagnosis Using K-Nearest Neighbor Algorithm: A Study on Heart Failure Clinical Records Dataset
Authors: Stefane Souza Vitória , Araújo Lima Danielli
Published: April 2024

This article introduces an approach to diagnosing heart diseases utilizing the K-Nearest Neighbor (KNN) algorithm and diverse correlation filters for selecting the most pertinent attributes. Results highlight that meticulous filter selection enhances survival predictions in patients with heart diseases. Employing K = 5 and correlation filter CF = 0.1, key attributes for classification were identified as anemia, high blood pressure, serum creatinine, and sex. Omitting the “time” attribute led to information loss but was crucial to prevent biases and generalize predictions across various clinical scenarios. Utilizing these classification parameters, we designed an Android mobile application called “Heart Info System,” functioning as an artificial intelligence service. It employs the KNN algorithm with optimal parameters to evaluate the probability of survival in the progression of heart disease. The main activity of the application retrieves data from a Firebase database. While the study results show promise, the accuracy of the application may be influenced by inaccurate or incomplete input data. Nevertheless, this application has the potential to improve the early detection of heart diseases, paving the way for life-saving interventions.
 
Received: 11 November 2023 | Revised: 18 April 2024 | Accepted: 25 April 2024
 
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
 
Data Availability Statement
The data that support the findings of this study are openly available in UCI Machine Learning Repository (Heart Failure Clinical Records Dataset) at https://www.doi.org/10.24432/C5Z89R.
 
Author Contribution Statement
Vitória Stefane Souza: Software, Validation, Formal analysis, Investigation, Data curation, Writing - original draft, Writing - review & editing, Visualization. Danielli Araújo Lima: Conceptualization, Methodology, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration.
Integrated assembled production decision support inventory system
Authors: Chen Jan-Min
Published: April 2024

In the effective supply chains development, the interaction between financial and inventory decisions is important for suppliers and manufacturers. In addition, implementing effective coordination between supply chain participants has become a related research issue. Considering a two-echelon model of multi-suppliers and one manufacturer in this study, coordinate their situations to maximize the total supply chain profits. One or more components required for the final product produced are provided by each supplier. The payments which are permissible delay is coordinated to order quantity between two echelons in the proposed inventory level model. This study is to establish an integrated inventory model to minimize the joint total expected inventory cost and develop a decision support system (DSS).
The utilization of AI in advancing green supply chain management focusing healthcare sector in Saudi Arabia
Authors: Naim Arshi , Khan Faiz Khan
Published: April 2024

Artificial Intelligence (AI) is a notable developing technology and its applications have extended the benefits to almost all disciplines. The aim of this current research is to investigate the impact of Artificial Intelligence on Green Supply Chain Management (GSCM). This research explains the applications of AI in GSCM and illustrate, how the application of AI has opened new directions in future for GSCM and what are the challenges need to be addressed for its effective working. AI facilitates in reducing cost, automating, and increase in productivity and eventually achieving economies of scale in SCM. This research provides a development of an outline for the use of an AI based GSM for industries especially in the Healthcare sector (HST). For the purpose of the study we have applied Qualitative analysis and methods of data collection were workshop and interview with HST professionals and stakeholders in KSA. The results show that HST professional have good experience and gave 90 percent positive feedback for applying AI for GSCM in HST but Stakeholders for some situations have shown apprehension due to short term increment of cost in handing the GSCM and applications of sensors to automate the process but their responses were also 70 percent positive.
TÜRK SİYASİ VE DÜŞÜNCE HAYATINDA RUSYA TÜRKLERİ
Authors: Bağcı Şengül Merve
Published: April 2024

Sibel Demirci, Türk Siyasi ve Düşünce Hayatında Rusya Türkleri, Post Yayın Dağıtım, İstanbul, 2020, 296 s., ISBN: 978-605-7682-28-4
Predictive Insights Into Digital-Only Banking Adoption in Malaysia using Artificial Neural Networks
Authors: A. M. Saif Mashaal , Hussin Nazimah
Published: April 2024

This study employs an Artificial Neural Network (ANN) to predict the importance of various factors—convenience, economic efficiency, functional risk, security risk, critical mass, number of services, trust, environmental concern, and perceived value—in collectively determining the intention to adopt digital-only banks. The analysis involves 403 respondents in Malaysia, utilising both exploratory factor analysis and the ANN method. The results from the ANN highlight "environmental concern" as the most influential factor shaping individuals' intention to adopt digital-only banks. Additionally, "trust," "perceived value," and "convenience" emerged as crucial factors in predicting adoption intention. These findings not only provide valuable insights for fintech companies and banks aiming to attract new customers or enter new markets but also contribute to expanding knowledge in the field, particularly in the realm of non-linear methods such as ANN. This study enhances the understanding of the evolving landscape in digital-only banking.
Attention-Based Efficient Breath Sound Removal in Studio Audio Recordings
Authors: Elgiriyewithana Nidula , Kodikara N D
Published: April 2024

In this research, we present an innovative, parameter-efficient model that utilizes the attention U-Net architecture for the automatic detection and eradication of non-speech vocal sounds, specifically breath sounds, in vocal recordings. This task is of paramount importance in the field of sound engineering, despite being relatively under-explored. The conventional manual process for detecting and eliminating these sounds requires significant expertise and is extremely time-intensive. Existing automated detection and removal methods often fall short in terms of efficiency and precision. Our proposed model addresses these limitations by offering a streamlined process and superior accuracy, achieved through the application of advanced deep learning techniques. A unique dataset, derived from Device and Produced Speech (DAPS), was employed for this purpose. The training phase of the model emphasizes a log spectrogram and integrates an early stopping mechanism to prevent overfitting. Our model not only conserves precious time for sound engineers but also enhances the quality and consistency of audio production. This constitutes a significant breakthrough, as evidenced by its comparative efficiency, necessitating only 1.9M parameters and a training duration of 3.2 hours - markedly less than the top-performing models in this domain. The model is capable of generating identical outputs as previous models with drastically improved precision, making it an optimal choice.
A Transformer-Based Nlp Pipeline for Enhanced Extraction of Botanical Information using Camembert on French Literature
Authors: Nainia Ayoub , Vignes-Lebbe R´egine , Chenin Eric , Sahraoui Maya , Mousannif Hajar , Zahir Jihad
Published: April 2024

This research investigates the untapped wealth of centuries-old French botanical literature, particularly focused on floras, which are comprehensive guides detailing plant species in specific regions. Despite their significance, this literature remains largely unexplored in the context of AI integration. Our objective is to bridge this gap by constructing a specialized botanical French dataset sourced from the flora of New Caledonia. We propose a transformer-based Named Entity Recognition pipeline, leveraging distant supervision and CamemBERT, for the automated extraction and structuring of botanical information. The results demonstrate exceptional performance: for species names extraction, the NER model achieves precision (0.94), recall (0.98), and F1-score (0.96), while for fine-grained extraction of botanical morphological terms, the CamemBERT-based NER model attains precision (0.93), recall (0.96), and F1-score (0.94). This work contributes to the exploration of valuable botanical literature by underscoring the capability of AI models to automate information extraction from complex and diverse texts.
Leveraging ChatGPT for Advanced Financial Analysis: A Prompt Pattern Catalog
Authors: Xie Alex , Sun Yu
Published: April 2024

This paper presents a comprehensive survey and review of financial prompt patterns, exploring the innovative integration of ChatGPT in finance-related tasks. With the rapid evolution of AI and its increasing application in various sectors, the finance industry stands at the forefront of this technological revolution. Our research delves into the myriad ways in which prompt engineering with ChatGPT can enhance financial analyses, risk assessment, investment strategy formulation, and customer service in the finance sector. We systematically categorize and evaluate a wide array of prompt patterns, drawing insights from real-world applications and theoretical frameworks. This survey not only identifies the current state of prompt engineering in finance but also forecasts future trends, challenges, and opportunities. By providing a detailed examination of various prompt designs and their outcomes, this paper aims to serve as a foundational guide for practitioners and researchers seeking to leverage ChatGPT's capabilities for optimized financial decision-making and innovation. The findings underscore the transformative potential of tailoredprompts in elevating the accuracy, efficiency, and scope of financial services and strategies
The Impact of AI Tool on Engineering at ANZ Bank an Empirical Study on GitHub Copilot within Corporate Environment
Authors: Chatterjee Sayan , Liu Ching Louis , Rowland Gareth , Hogarth Tim
Published: April 2024

The increasing popularity of AI, particularly Large Language Models (LLMs), has significantly impacted various domains, including Software Engineering. This study explores the integration of AI tools in software engineering practices within a large organization. We focus on ANZ Bank, which employs over 5000 engineers covering all aspects of the software development life cycle. This paper details an experiment conducted using GitHub Copilot, a notable AI tool, within a controlled environment to evaluate its effectiveness in real-world engineering tasks. Additionally, this paper shares initial findings on the productivity improvements observed after GitHub Copilot was adopted on a large scale, with about 1000 engineers using it. ANZ Bank's six-week experiment with GitHub Copilot included two weeks of preparation and four weeks ofactive testing. The study evaluated participant sentiment and the tool's impact on productivity, code quality, and security. Initially, participants used GitHub Copilot for proposed use-cases, with their feedback gathered through regular surveys. In the second phase, they were divided into Control andCopilot groups, each tackling the same Python challenges, and their experiences were again surveyed. Results showed a notable boost in productivity and code quality with GitHub Copilot, though its impact on code security remained inconclusive. Participant responses were overall positive, confirming GitHub Copilot's effectiveness in large-scale software engineering environments. Early data from 1000 engineers also indicated a significant increase in productivity and job satisfaction.
Efficient Equality Test Technique using Identity-Based Encryption for Telemedicine Systems
Authors: Wang Chenguang , Chen Huiyan
Published: April 2024

Telemedicine systems play an important role in early HIV screening, but data privacy in the medical system has always been a challenging issue. For data privacy in the medical system, using identity encryption-based equivalence testing schemes to protect private data and screen for early AIDS has important prospects. The aim of this paper is to address the challenge of data privacy protection in medical systems by proposing a novel identity encryption scheme. The main subject revolves around the inefficiencies and lack of support for revocability and quantum resistance in existing identity encryption-based equality test schemes. My achievement lies in developing the first equality test scheme that supports both revocable encryption and quantum resistance, offering superior memory and computational performance compared to other schemes.