bluuebunny/crossref_metadata_2025 huggingface dataset:
Epidemiology and demography of Chronic Kidney Disease in Pakistan- A review of Pakistani literature
Authors: Imtiaz Salman , Alam Ashar
Published: March 2023

Background:

CKD is spreading like an epidemic. There is a dire need to understand the true prevalence as well as the causes of CKD in both urban and rural areas of Pakistan in relevance to age and gender. In this background, there is a need to know what has been done so far to understand the status of CKD in Pakistan.

Materials and Methods:

We selected the articles published through PubMed and Google scholar and the following keyword were used, epidemiology, demography, prevalence, chronic kidney disease, chronic renal insufficiency, etiology, and causes of CKD, Pakistan. We found four articles that evaluated the prevalence and five articles that dealt with the causes of CKD. We included all articles in our analysis.

Results:

The overall prevalence among all age groups was found to be 21.2%. The highest CKD prevalence was reported as 29.9% and the lowest at 12.5%. The highest prevalence was found in patients more than 50 years of age (43.6%). Two studies showed male predominance (62% and 54.4%), while two showed a female majority (64%,52%). The most common cause of CKD was found to be Diabetic nephropathy (27.1%), followed by CKD of unknown etiology (16.6%) and renal stone disease (12.4%)

Conclusion:

The prevalence of CKD is high, especially in the older population. Similarly, the leading causes of CKD are also different in all studies due to center dependence, hospital-specific and urban locations. DM, CKDu, and renal stone disease are common causes of CKD

 

Keywords: Pakistan, chronic kidney disease, prevalence, epidemiology,
Kidney allograft interstitial fibrosis and tubular atrophy (IFTA) due to specific causes:
Authors: Mubarak Muhammed
Published: March 2023

NA
Hubungan Efikasi Diri terhadap Tingkat Kepatuhan Minum Obat pada Pasien Tuberkulosis Paru
Authors: Girsang Yonatan Bage
Published: March 2023

Introduction: Non-adherence to pulmonary tuberculosis treatment is one of the causes of pulmonary tuberculosis cases which is still high, the number of pulmonary TB cases in Indonesia was 420.994 cases in 2017. Patient confidence in treatment is a determining factor for health behavior and the extent of patient compliance with treatment.
Objectives: This study aims to identify the relationship between self-efficacy and adherence to medication in pulmonary tuberculosis patients at Pasir Putih Public Health Center, Depok City in 2021.
Method: This research uses a quantitative approach with a cross-sectional study design. There are 30 respondents at the Pasir Putih Public Health Center. Data were collected using direct interviews. The questionnaires used were self-efficacy questionnaires to assess self-efficacy and Morinsky Medication Adherence Scales to assess respondents' medication adherence.
Result: The results of the research p-value between the relationship of self-efficacy to the level of adherence to taking medication in patients with pulmonary tuberculosis 0.004 < 0.005, with the analysis of respondents having poor self-efficacy as much as 53.3% had obedient behavior in taking medication. And based on the results of the study, the OR value (1,417) means that it can be seen that the patients with good self-efficacy have a 1.4 times chance of experiencing a good level of compliance compared to those who have poor efficacy with a sufficient level of compliance.
Conclusion: There is a significant relationship between self-efficacy and medication adherence in pulmonary tuberculosis patients at the Pasir Putih Public Health Center, Depok City in 2021 (P=0.004), and efforts are needed to improve self-efficacy and medicate adherence in Pulmonary Tuberculosis Patients at Pasir Putih Health Center, Depok City.
Hubungan Pengetahuan Perawat dengan Motivasi Perawat dalam Pelaporan Insiden Keselamatan Pasien di RSUD Jakarta Tahun 2022
Authors: Ulva Maria
Published: March 2023

Pendahuluan: Pelaporan insiden keselamatan pasien merupakan salah satu upaya untuk mengendalikan tingginya insiden keselamatan pasien. Pelaporan insiden keselamatan pasien di RSUD Sawah Besar selama tahun 2021 hanya terdapat 11 pelaporan insiden keselamatan pasien yang terdiri dari 7 kejadian tidak diharapkan (KTD 63,6%), 4 kejadian tidak cedera (KTC 36,3%).
Tujuan: Untuk mengetahui hubungan pengetahuan perawat dengan motivasi perawat dalam pelaporan insiden keselamatan pasien di RSUD Sawah Besar Jakarta Tahun 2022.
Metode: Pada penelitian ini bersifat korelasi kuantitatif menggunakan pendekatan cross-sectional. Populasi dalam penelitian ini         berjumlah 57 perawat dan menggunakan teknik total sampling. Teknik pengumpulan data dengan menggunakan kuesioner. Analisa data penelitian menggunakan uji chi-square.
Hasil: Hasil penelitian  mayoritas menyatakan pengetahuan perawat adalah rendah sebesar 31 orang (54,4%) dan motivasi perawat dalam pelaporan insiden keselamatan pasien adalah rendah sebesar 29 orang (50,9%). Berdasarkan Hasil uji statistik dengan uji chi-square di dapatkan nilai P = 0,331.
Kesimpulan: ada korelasi atau hubungan pengetahuan perawat dengan motivasi perawat dalam pelaporan insiden keselamatan pasien di RSUD Sawah Jakarta. Managemen dan Tim KPRS perlu meningkatkan pengetahuan dan perawat melalui seminar, pelatihan tentang pelaporan insiden keselamatan pasien dan melakukan evaluasi tentang motivasi perawat dalam pelaporan insiden minimal setiap triwulan.
Analisis Faktor Risiko Penyebab Kejadian Hipertensi di Wilayah Kerja UPTD Puskesmas Sukmajaya Kota Depok Tahun 2022
Authors: Efendi Yana , Nina Nina , Arum Assandra Cahya , Ulina Dewi , Zaki Fairuz Luthfan , Mustafa Maulidya Putri , Maryani Riza
Published: March 2023

Introduction: Hypertension is a public health problem that needs attention because the incidence is quite high in Indonesian society.
Objectives: This study aims to determine the risk factors that cause hypertension in the working area of UPTD Puskesmas Sukmajaya Depok City in 2022.
Method: This study used a descriptive quantitative research design. The population in this study was 68 patients at the Sukmajaya Public Health Center, Depok. The collection in this study was carried out offline, through questionnaire observations the data were processed and analyzed using Microsoft excel. Data analysis included univariate analysis by looking for frequency distributions.
Result: The results showed that from 68 respondents, from the aspect of characteristics 43 (63%) women experienced hypertension. Then from the behavioral aspect of respondents who smoke regularly as many as 10 people (14.7), respondents who always do regular health checks 12 people (17.6%).
Conclusion: This study concludes that factors that influence the incidence of hypertension are genetic factors, characteristics and behavior of the community in the working area of UPTD Puskesmas Sukmajaya Depok City in 2022.
Hubungan Motivasi Diri, Pengetahuan Ibu, dan Peran Kader dengan Partisipasi Ibu Balita dalam Kegiatan Posyandu Balita Desa Sungai Jaga B Kecamatan Sungai Raya Kabupaten Bengkayang Tahun 2021
Authors: Rahmawati Rahmawati
Published: March 2023

Latar belakang: Kunjungan ibu balita ke Posyandu maupun Puskesmas menggambarkan bahwa tingkat partisipasi ibu balita berkunjung ke posyandu masih tergolong rendah dan tidak mencapai target Standar Pelayanan Minimal. Terlihat betapa pentingnya gizi yang cukup bagi balita. Sehingga hal- hal yang dapat mempengaruhi pemberian asupan gizi bagi balita menjadi hal yang tidak kalah penting.
Tujuan: Untuk mengetahui hubungan antara motivasi diri, peran kader dan pengetahuan ibu dengan partisipasi ibu balita pada aktivitas posyandu balita Desa Sungai Jaga B, Kec. Sungai Raya, Kab. Bengkayang.
Metode: Jenis penelitian dalam penelitian ini menggunakan metode penelitian kuantitatif dengan menggunakan instrumen kuesioner untuk mengetahui hubungan motivasi diri, pengetahuan ibu, dan peran kader terhadap partisipasi ibu balita dalam kegiatan posyandu balita Desa Sungai Jaga B, Kecamatan Sungai Raya, Kabupaten Bengkayang Tahun 2021. Sampel dalam penelitian ini adalah 56 ibu balita ke Posyandu Desa Sungai Jaga B Tahun 2021.
Hasil: Berdasarkan hasil uji statistik diketahui hubungan motivasi diri dengan partisipasi ibu balita dalam kegiatan posyandu balita dengan nilai P-value = 0,412 dan nilai OR = 1,676. Hubungan pengetahuan dengan partisipasi ibu balita dalam kegiatan posyandu balita dengan nilai P-value = 0,048 dan nilai OR = 3,750. Hubungan peran kader dengan partisipasi ibu balita dalam kegiatan posyandu balita dengan nilai P-value = 0,025 dan nilai OR = 4,128.
Kesimpulan: Ada hubungan antara pengetahuan, dan peran kader dengan partisipasi ibu balita ke Posyandu Sungai Jaga B Kecamatan Sungai Raya Kabupaten Bengkayang Tahun 2021.
Efektivitas Terapi Sentuhan dan Penggunaan Nesting terhadap Suhu Tubuh Bayi Berat Badan Lahir Rendah
Authors: Suryani Sari Indah , Shifa Nurul Ainul , Yuliza Emi
Published: March 2023

Pendahuluan: Bayi yang lahir prematur dengan BBLR memiliki permukaan tubuh yang lebih luas sedangkan jaringan lemak subkutis yang lebih tipis menyebakan terjadinya penguapan berlebih ditambah dengan pemaparan dari suhu luar yang menyebabkan hipotermi. Untuk mengatasi hipotermi bisa dilakukan tindakan terapi sentuhan dan penggunaan nesting.
Tujuan: Untuk mengetahui tentang Efektifitas Antara terapi sentuhan dan penggunaan nesting terhadap suhu tubuh pada bayi berat badan lahir rendah.
Metode: Pada penelitian ini menggunakan jenis penelitian pre-eksperimen dengan desain penelitian one grup pre-test post-test design dengan lembar observasi. Sampel yang digunakan sebanyak 30 orang menggunakan menggunakan tehnik total sampling. Data dikumpulkan menggunakan kuesioner.
Hasil: Berdasarkan hasil uji statistik diperoleh hasil nilai p=0,019 untuk terapi sentuhan dan p=0.019 untuk penggunaan nesting, berarti pada alpha 5%. Yang berarti H0 ditolak dan Ha diterima.
Kesimpulan: Ada efektifitas antara terapi sentuhan dan penggunaan nesting terhadap suhu tubuh pada bayi berat badan lahir rendah. Untuk mengatasi hipotermi bisa dilakukan tindakan terapi sentuhan dan penggunaan nesting. jaringan lemak subkutis yang lebih tipis menyebakan terjadinya penguapan berlebih ditambah dengan pemaparan dari suhu luar yang menyebabkan hipotermi
Level IgG Seropositif Anti-TORCH (Toxoplasmosis, Rubella, Cytomegalovirus dan Herpes Simplex Virus) dan Perbaikan Keluhan Pasien Terapi Herbal Komplementer di Indonesia
Authors: Yanti Sri
Published: March 2023

Pendahuluan: TORCH (Toxoplasmosis, Rubella, Cytomegalovirus dan Herpes simplex virus). Penyakit toxoplasmosis telah menyebar pada sebagian besar penduduk di seluruh dunia. Di Indonesia prevalensi toxoplasmosis pada manusia sangat tinggi berkisar di atas 40%. Manifestasi dan gejala sisa ini termasuk Korioretinitis Sekitar 20% bayi tercatat memiliki  lesi retina saat lahir, tetapi hingga 90% bayi yang  terinfeksi kongenital yang tidak diobati mengembangkan korioretinitis, menjadi dan  termasuk masa dewasa awal, disfungsi motorik dan serebelar Microcephaly kejang, disabilitas intelektual (keterbelakangan mental) Gangguan pendengaran sensorineural. Pasien TORCH menggunakan metode imunoserologi yaitu ELISA (Enzym Linked Immunosorbent Assay) metode ini dgunakan untuk deteksi titer antibody  jenis IgG dan IgM. Pengobatan Infeksi TORCH  umumnya menggunakan pendekatan medis dan komplementer.
Tujuan: Untuk mengetahui hubungan lama terapi komplementer terhadap perbaikan  keluhan dan level jumlah pada pasien Infeksi TORCH
Metode: Metode penelitian bersifat korelasi kuantitatif menggunakan pendekatan cross-sectional. Responden dalam penelitian ini sebanyak 60 orang pasien yang melakukan terapi komplementer di AQTI
Hasil: Hasil penelitian ada hubungan karakteristik responden dengan level IgG anti-TORCH dan Gejala Klinis menemukan pasien p-value antara 0,000* < 0,05. Ditemukan juga hubungan karakteristik responden dan level IgG  anti-TORCH dengan keluhan sebelum terapi p-value 0,000* < 0,05 dan sesudah terapi komplementer p-value 0,029* < 0,05.
Kesimpulan: Lama terapi dan level IgG pada pasien infeksi TORCH menentukan perbaikan keluhan pada  pasien.
Hubungan Tingkat Pengetahuan dan Sikap Perawat terhadap Pelaksanaan Manajemen Nyeri: Teknik Relaksasi pada Pasien Pasca Apendectomy di Ruang Rawat Inap RS X Jakarta
Authors: Saraswati Fitri Wahyu , Rosalina Enna
Published: March 2023

Latar belakang: Manajemen nyeri adalah upaya mengurangi rasa sakit sampai pada tingkat kenyamanan yang dapat diterima pasien. Perawat memiliki peran penting dalam pelaksanaan manajemen nyeri, namun masih ada perawat yang belum melakukan pelaksanaan manajemen dengan baik.
Tujuan: Penelitian ini menganalisa hubungan tingkat pengetahuan dan sikap perawat terhadap pelaksanaan manajemen nyeri: teknik relaksasi pada pasien pasca apendectomy  di ruang rawat inap RS X Jakarta.
Metode: Penelitian ini menggunakan metode diskriptif korelasi dengan pendekatan Cross-sectional. Data dikumpulkan dengan kuesioner sebanyak 61 perawat dengan teknik total sampling. Penelitian ini dilakukan pada Agustus 2021 di RS X Jakarta. Penelitian ini mengggunakan kuesioner sebagai alat ukur, uji statistic menggunakan Chi-Square test.
Hasil: Karakteristik perawat di ruang rawat inap RS X yakni sebagian besar berusia 25-35 tahun (57,4%) pendidikan D3 Keperawatan (70,5%), pernah mengikuti pelatihan manajemen nyeri (77,0%) tingkat pengetahuan cukup (45,9%) sikap positif (59,0%). Pelaksanaan manajemen nyeri: teknik relaksasi baik (68,9%). Hubungan pengetahuan terhadap pelaksanaan manajemen nyeri p-value: 0,015. Hubungan sikap terhadap pelaksanaan manajemen nyeri p-value: 0,000.
Kesimpulan: Ada hubungan yang bermakna antara pengetahuan dan sikap terhadap pelaksanaan manajemen nyeri teknik relaksasi.
Physics-informed Machine Learning: The Next Evolution in Neural Network Development
Authors: Perry Karriem
Published: March 2023

Machine Learning (ML) is one of the fastest-growing subsets in artificial intelligence. One of the persistent challenges to ML model development is data quality and availability. Many researchers across a range of disciplines have begun leveraging Partial Differential Equations (PDEs) in the physical, biological, and other hard sciences to answer otherwise intractable problems resulting from the lack of data availability and issues with data quality. This approach is appropriate. While PDEs are not the only answer to all binary or multi-classification problems in ML modeling, they provide a series of physics-inspired ML modeling methods capable of addressing a set of challenges that were previously difficult, if not impossible, to infer. This presentation will focus on PDE utility.
Evaluating the Potential of Search Bots for Theoretical Research in Quantum Technologies Using R
Authors: Perry Karriem
Published: March 2023

In recent years, search bots have gained popularity for their ability to efficiently access and process large volumes of information. This study aims to evaluate the potential of search bots, specifically in R programming language, for theoretical research in quantum technologies. Two research questions are addressed, and two corresponding hypotheses are tested to develop a novel theory in the field of quantum technologies. The results demonstrate the efficacy and potential of search bots as a valuable tool for researchers and scientists working in this rapidly evolving domain.
Metadata Causal Inference of Concept Drifts in Probabilistic-Relational Machine Learning: Predictive Analytics Using Graph Theory Methods in Cyber-Defense
Authors: Perry Karriem
Published: March 2023

This research describes a novel approach to implementing cyber-defense protocols using supervised statistical-relational machine learning and lifted-inference in neural network architectures to detect concept drift anomalies. Data concept drift, or alternatively, concept shift, is a common yet difficult abnormality to detect in most data. Particularly metadata from adversarial cyber-attacks data originating from non-stationary environments, as detailed in the introduction. The Material and Methods and the Related Works sections describe the manuscript’s foundation in statistical-relational machine learning, otherwise known as relational machine learning, and its intrinsic suitability for identifying variables that may contain attributes, objects, entities and the like which contribute to concept drift irregularities during Exploratory Data Analysis (EDA) or Graphical Data Analysis (GDA) in detection of Structured Query Language Injection Attacks (SQLIA) probability. Moreover, balancing the tradeoffs when developing, Directed Acyclic Graphs (DAGs), Bayesian Networks (Bnets) and other network illustrations, demand increased computational time complexity. Lifted inference and prior probabilities are then introduced by the reproducible Analytics Solutions Unified Method for Data Mining/Predictive Analytics (ASUM-DM) framework, where handcrafting is efficacious and useful. The use of ASUM-DM also increases probable concept drift anomaly detection; predictive cyber defensive applications in chaotic systems and projected prior dependencies from lifted inference for datatypes originating from non-stationary environments. In later portions of this research, we describe how this approach allows for more efficient neural network design while enabling more consistent predictive analytics methods, enhancing proactive cyber-defense capabilities using modified activation functions amenable to a range of neural network architectures as a reflection of the Bayesian Information Criterion’s (BIC) output. This preemptive observation of the BIC value during epochs of neural networks identifies potential computational intractability and significantly reduces energy expenditure. We finalize hypothesis testing, neural network parameterization, and fine-tuning and develop a comprehensive evaluation and description of the findings, conclusion, and recommended areas of future research.
Activities and Development of Open Universities in the States of European
Authors: Hladoshchuk Olexandr , Saienko Volodymyr , Shyshkina Olena , Shlieina Liudmyla , Khrapatyi Serhii
Published: March 2023

The urgency of the research lies in the possibility of providing educational services even in the crisis conditions of modern times, caused by geopolitical problems and the spread of the global coronavirus pandemic. The activities of Open Universities in the states of the European Union are characterized by openness and the possibility of providing complex educational programs according to modern pedagogical practice. The importance of Open Universities’ activities is underpinned by the use of modern pedagogical methods, namely: distance education and interactive classes. The issue of applying the European education system of Open Universities is crucial to the possibility of improving the population’s general educational level and contributing to the enhancement of the population’s qualifications in EU states. The purpose of the academic paper is to study the principles of activity and aspects of the development of Open Universities in the states of the European Union. The objectives of the research are to analyse the functioning of Open Universities, define the educational program and outline the prospects for further development. The object of the research is the factors of activity and development of open universities in the European Union’s states based on modern digital technologies. By using the methods of scientific research, both exploratory and analytical ones, an assessment of the activities of Open Universities in European countries was carried out. The research methodology consists in the analysis of theoretical and methodological approaches to the Open University as an educational institution and conducting a study of the prospects for the development of Open Universities in the countries of the European Union. The results obtained can be used in practical training of students for their subsequent admission to higher educational institutions and improving the process of developing a complex of educational programs in Open Universities. The academic paper examines the principles and factors of the development of Open Universities in the countries of the European Union.
Methods of Teaching Graphic Design in HEIs for Art
Authors: Gula Ievgen , Maznichenko Oksana , Kutsenko Anastasiia , Osadcha Alla , Kravchenko Nataliia
Published: March 2023

Under the conditions of digitalization in technology and art, there is a sense of significant changes in visual creativity, where design projects are given not only new artistic expressiveness, but everything becomes an immeasurable resource base and source of inspiration for future graphic designers. This new reality encourages the permanent updating of approaches and the use of innovative methods of teaching graphic design in HEIs for art in the process of preparing for the professional activity of a future graphic designer. Therefore, a modern graphic designer, being the creator of a demanded graphic product that meets the requirements of business and clients, must have a sense of style, and artistic taste, track new trends in graphic design, be versed in styles, be creative, able to create original innovative design projects, have technical knowledge and computer programs, etc. The research aims to establish a pattern of promoting the use of differentiated methods of teaching graphic design in higher education institutions for art. The goal can be achieved by surveying higher education students on the Internet to determine the ability of HEIs for art to apply effective methods of teaching graphic design. Research methods: comparative analysis; systematization; generalization; survey. Results. The survey among higher education students found that online graphic design platforms such as Canva (98.3%), Pixlr (94.1%), Design Wizard (93.8%), Visme (92.4%), Snappa (89.8%), BeFunky (89.2%), etc. contribute to the formation of professional skills in the field of graphic design. It has been found that the following graphic design programs on PCs, namely Adobe Photoshop (95.5%), Affinity Designer (95.3%), Gravit Designer (91.5%), Adobe InDesign (89.9%), Adobe Illustrator (89.5%), best contribute to the formation of professional skills in future graphic designers. It has been determined that 3D graphic design programs such as Paint3D (91.9%), Autodesk Maya (89%), Sumo3D (87.9%), Blender (85.7%), Autodesk 3ds Max (83.3%), ZBrush (81.5%), etc. are the most conducive to the formation of professional skills. The study has revealed which methods of teaching graphic design in HEIs for art are used by teachers. These include innovative methods (91.8%), the method of graphic modeling (89.8%), the method of observation and independent reproduction of certain artistic images through graphic design (87.3%), the method of graphic illustration (86.2%), the method of projective and graphic form finding (81%), etc. It has been established that the successful implementation of differentiated methods of teaching graphic design in HEIs for art contributes to the formation of skills in using modern computer graphics programs to create design objects (91.2%), the ability to use basic skills in project graphics (89.3%), the ability to know color science to create a coloristic solution for a future design object (89%), etc.
Contrastive View Between Several English and Albanian Prepositions
Authors: Dulaj Fridrik , Duraj Petrit , Haziri Shemsi , Neziri Senad
Published: March 2023

This paper presents a contrastive view on use of several English and Albanian prepositions, with particular focus on several English prepositions, in, on and at, equivalent to Albanian preposition në. In English language, grammatically there are clearly defined uses of these prepositions. However, in Albanian language, all three English prepositions are translated with Albanian preposition në, which shows that Albanian language is less developed when it comes to the use of prepositions. This is due to the development of cases system and word endings based on internal grammatical rules of Albanian language. Also, in this study there will be presented some other contrasts between English and Albanian prepositions, in regards to, classification of prepositions according to cases in Albanian language: prepositions in nominative, genitive, accusative and ablative (Alb. rrjedhore) case and lack of their classification in cases in English grammars; conversion of prepositions into conjunctions in some cases in English and lack of this occurrence in Albanian; use of prepositions in the end of sentence in English and lack of this occurrence in Albanian, since it is in contradiction with internal syntax rules of Albanian language.
Analysis of Service Quality to Increase Customer Satisfaction of Libro Café
Authors: Tannady Hendy , Aditia Ananta , Bhadra Bima , Cung Clara
Published: March 2023

This research was conducted using a quantitative survey method which managed to collect 30 respondents who were students of one private university in Banten. The goal of this study is to evaluate how satisfied customers are with the level of service offered by Libro Café, a café that is housed within a university. The first and ninth indicators are both in quadrant I, which represents areas that are very important yet nevertheless perform poorly. This cafe should pay attention to and develop these two aspects so that customers can feel satisfied with the queuing system and the friendliness of Libro cashiers and baristas. Then in quadrant II, there are the second and third indicators which discuss the payment system or payment methods and the cafe area's cleanliness. Being in the second quadrant denotes significant relevance and performance. It is advised that the café continue with this because it is a very wonderful thing. It is in quadrant III, which indicates that its importance and performance are modest, there is the tenth indicator. This indicator discusses Libro café, which sells products at reasonable and affordable prices. Even though the urgency level is not that important, this indication needs to be taken into account and developed because it is a part of quadrant III. Last but not least, quadrant IV, which is low in relevance but high in performance, there are indicators 4 to 8, which are in this quadrant IV. This is also a good thing.
Influence of School Climate and Leadership Style of Principals on the Performance of Public Elementary Teachers During the Covid-19 Pandemic
Authors: Sayman Ana Marie , Atienzar Eunice A
Published: March 2023

This study assessed the influence of school climate and the leadership style of the principals on the performance of public elementary school teachers during the COVID-19 pandemic. A descriptive correlation design was utilized in the study. A regression analysis was also employed in the study. The survey utilized an adapted questionnaire to measure the influence of school climate and the principals’ leadership style on the performance of public elementary school teachers during the COVID-19 pandemic. A questionnaire was distributed to 306 public elementary school teachers via an online survey using google Forms. The data were treated using the mean, person r, and regression. The findings are as follows: the level of school climate, the leadership style of principals, and teachers performance of public elementary teachers during the COVID-19 pandemic is high. During the COVID-19 pandemic, school climate and principal leadership style significantly influence the performance of public elementary school teachers. Between the two schools, the school climate best influence teacher performance.
Analysis of Mindfulness Practices Using Electroencephalogram (EEG) Interaxon Muse™ Headband Against the Concept of Self-Acceptance of Poststroke Clients
Authors: Girivirya Sulaiman
Published: March 2023

The Buddhist guidance and counseling model was applied to a client who experienced post-stroke 3 stress disorder and was isolated at the start of the Covid-19 pandemic in 2020. Mindfulness of breathing, body and mind activities is very important in mindfulness practice. Mental relaxation treatments and measurements were administered using the first generation Muse™ "S" Series. Portable and "Muse: Meditation and Sleep" by the InteraXons app, linked by mobile technology (iPad/iOS). This research method uses a single subject research design with a time series approach. However, this report reports qualitatively descriptively about the client's self-acceptance concept after each session of stroke. The research sample was conducted on clients with post-stroke comorbidities. Treatment of mental relaxation sessions using mindfulness techniques. The results of measuring brain wave conditions that are inferred from the Muse™ application show an increase in mental relaxation conditions. Along with that the client's self-acceptance of the illness can be accepted with full awareness by the client. The client underwent a total of twelve guided mental relaxation sessions. In each session, the client feels able to accept the illness, forgive and fully accept himself with love.
The role of sports clubs in empowering Palestinian youth to participate in reducing drug abuse
Authors: Matar Mohammed , Nada Ibaida
Published: March 2023

The study aimed to identify the role of sports clubs in empowering Palestinian youth to participate in drug abuse reduction. In order to achieve the study's objective, the researchers used the analytical descriptive curriculum to fit the study topic. The researchers designed the questionnaire as an information-gathering tool consisting of 37 phrases and a sample of 98 chairpersons and members of the General Assembly of Sports Club The most im-portant findings of the study were that sports clubs play a role in cultural empowerment: Sports clubs hold panel discussions with youth participation that demonstrate the seriousness of drug use. The results show that social em-powerment is concerned with sports clubs documenting meetings and meetings with young people to adopt their ideas. Sports empowerment also shows that sports clubs develop motivational awards for youth participants in sports programs and activities. The results of the difficulties impeding sports clubs' role in empowering Palestinian youth revealed poor coordina-tion between sports clubs and youth institutions in enabling young people to participate in reducing drug abuse. The study's findings reached proposals for attention to the development of preventive plans for young people that illustrate the negative effects of drug prevalence and abuse.Researchers are recommended: The need to develop strategies and plans for preventive, curative and development programs that contribute to empowering young people to participate in reducing drug abuse in Palestinian society.
The Impact of Marketing Activities on e-Word of Mouth Through Social Network Sites, and the Impact this has on Brand Image and Purchase Intention in the Context of Saudi Arabia.
Authors: Alkandi Ibrahim
Published: March 2023

The aim of this study is to identify the factors of social media marketing involved in creating electronic word of mouth (e-WOM) via social networking sites (SNSs), and the impact e-WOM has on brand image and purchase intention. A proposed integrated model was developed in accordance with theoretical background. Structural equation modelling was applied to analyze the data obtained from 622 social media users in Saudi Arabia to test our research model. The results indicate that social media marketing activities have a significant positive direct effect on creating e-WOM. The research findings also show the impact of e-WOM on generating a positive brand image. In addition, a positive brand image initiated by e-WOM communication promotes intention to purchase among social network users. This research contributes to broadening the scope of the literature by providing a comprehensive and empirical model with integrated variables. In practical terms, the current study offers insight, to social media marketing managers, in terms of improving the effectiveness of their business decisions, developing successful communication channels, and continuously refining their marketing strategies for the competitive arena of social network sites based on the research model and findings.
Blinking, Beeping or Just Driving? Investigating Different Communication Concepts for an Autonomously Parking E-Cargo Bike from a User Perspective
Authors: Kreißig Isabel , Morgenstern Tina , Krems Josef
Published: March 2023

While autonomously parking e-cargo bikes offer the potential to enhance users’ comfort and time efficiency at sharing-stations, it is important to ensure a safe and useable interaction. External human machine interfaces (eHMIs) provide a possible solution for highly automated systems to communicate relevant information and to ensure system transparency. We conducted a laboratory study investigating three different communication concepts for autonomously parking e-cargo bikes: (1) a visual eHMI, (2) an auditory eHMI, and (3) a baseline condition. Participants (N = 36) watched videos of an autonomously parking e-cargo prototype and assessed each concept regarding user experience, acceptance, perceived safety, and trust. Results revealed a clear ranking of communication concepts with the visual eHMI rated to be most suitable followed by the auditory eHMI, whereas ratings for the condition without eHMI revealed considerable concerns for all aspects. Our findings suggest important implications for designing user interfaces for self- parking e-cargo bikes.
VOXReality: Immersive XR experiences combining language and vision AI models
Authors: Maniatis Apostolos , Bourou Stavroula , Anastasakis Zacharias , Psychogios Kostantinos
Published: March 2023

In recent years, Artificial Intelligence (AI) technology has seen significant growth due to advancements in machine learning (ML) and data processing, as well as the availability of large amounts of data. The integration of AI with eXtended Reality (XR) technologies such as Virtual Reality (VR) and Augmented Reality (AR) can create innovative solutions and provide intuitive interactions and immersive experiences across various sectors, including education, entertainment and healthcare. The presented paper describes the innovative Voice-drive interaction in XR spaces (VOXReality)* initiative, funded by the European commission, that integrates language and vision-based AI with unidirectional or bidirectional exchanges to drive AR and VR, allowing for natural human interactions with XR systems and creating multi-modal XR experiences. It aligns Natural Language Processing (NLP) and Computer Vision (CV) parallel progress to design novel models and techniques that integrate language and visual understanding with XR, providing a holistic understanding of goals, environment, and context. VOXReality plans to validate its visionary approaches through three use cases such as a XR personal assistant, real-time verbal communication in virtual conferences, and immersive experience for the audience of theatrical plays.* Funded by European Union (Grant agreement ID: 101070521)
Human like programming using SPADE BDI agents and the GPT-3-based Transformer
Authors: Josué Ratovondrahona Alain , Marielle Rakotozanany Hanitriniaina , Mahatody Thomas , Manantsoa Victor
Published: March 2023

Programming an application requires multiple people with skills and experience in that field. It will also take a lot of time with multiple steps before achieving the final result of an application. Today, developers are assisted by various tools, software, or applications based on Artificial Intelligence (AI) such as OpenAI's ChatGPT. These AI that automatically generates source code helps developers to develop applications much faster. However, although code generators are numerous and very helpful, we are not yet at the stage where we can generate a fully functional application, but just generate pieces of source code. And we don’t know yet how to understand textual descriptions of Software Requirements to generate an application directly. Or where to find data to train an AI capable of generating a functional application from textual descriptions. Therefore, we created a new architecture composed of virtual intelligent agents called SPADE BDI to create virtual developers. The virtual intelligent agents were responsible for keyword extraction, Software Requirements synthesis, and source file creation. Then we used a transformer based on pre-trained GPT-3 for source code generation. This transformer is orchestrated by a virtual intelligent agent. To solve the problem of training data, we collected and created a new dataset called WSBL. The data came from several projects developed with the Laravel Framework over 4 years. The result allowed us to have a functional application directly from a textual description. Each intelligent virtual agent played a role like a developer by analyzing textual of Software Requirements and then generating source code. With a 15% reduction in time to develop an application compared to brute development. Our new architecture allows for processing textual descriptions (Software Requirements) step by step using intelligent virtual agents named SPADE BDI and source code generation is done by a transformer based on pre-trained GPT-3 to have a directly functional application
Data Analysis for the Projection of Flexible Composite Materials to Naval Transport Scenarios
Authors: - Gabriela Ene Alexandra , Mihai Carmen , Jomir Mihaela , Jomir Constantin
Published: March 2023

Accidental spills of oil or other types of hydrocarbons represent a problem of utmost importance, but, in the situation where a multi-criteria approach to the phenomenon is desired, it is necessary a quickly intervention for mitigate the effects of their spread, and for isolation, collection, transportation and storeage for reprocessing. In case of oil recovering, trapped oil can be pumped out to holding tanks (shuttles) for transporting to shore. The functional characteristics required for naval transport are represented by the: operational in strong sea currents oil spill recovery (min. 4bf), transport and storage (at min. 2kt); rapid response in an emergency (possibility to be used in max. 1 h in conjunction with oil spill recovery equipment: vessel, booms, skimmers etc). Although it could be considered that the tear resistance on the longitudinal and transversal system for any composite structure including a textile matrix based on woven structure, could be influenced by the physical-mechanical characteristics of the textile reinforcement (the nature of the raw material and the diameter of the threads), in the situation of usage the flexible elements (narrow fabrics) to join the panels, the correlation between the above mentioned parameters could be made only by mathematical approaches. This assumption is based on the fact that in the textile field, the mechanism of deformation of threads and implicitly of planar structures is not fully explained (as in the field of constructions). The paper presents the analysis of the data collection, with the help of multiple regression, each of the 6 dependent variables (tear resistance values assessed according to three accredited methods in longitudinal and transversal systems) being modeled with the help of 5 independent variables (resistance to maximum force breaking strength, knot resistance, loop for two types of sewing thread and the breaking resistance of composite material fabrics). For the 3500 values obtained as a result of the experiments carried out, the initial hypotheses were related to: i) the experience matrix (u observations for q variables) is fixed, it is not stochastic, and the number of experiences is greater than the number of variables and ii ) the matrix of measured values for the independent variables has linearly independent columns, so it forms a basis of a q-dimensional space. The main problems followed were related to the model parameters, measurement errors, adjustment precision and the choice of the prediction model. The built probabilistic models explain between 55-80% of the variation of the dependent variable, so it would be indicated to introduce additional variables (e.g. for composite material with 45/55% PES/p-aramida matrix) of the type: pattern of the fabric, yarn density in warp and weft, coating thickness. Additionally, the values obtained for the t test identified the importance of the predictors placed in the multivariate regression equations.
Assistive VR platform design for Telemanipulation at the Super Fragment Separator Facility
Authors: Compierchio Angelo , Tretten Phillip , Oyelere Solomon , Karagiannis Chris
Published: March 2023

An assisted remote manipulation (ArM) platform has been defined for the Super FragmentSeparator (Super-FRS) main tunnel and hot cell at the High Energy Physics (HEP) Facilityof Anti-proton and Ion Research (FAIR). The designed platform positioned within a VirtualReality (VR) based framework ensures dynamic collaboration and effective humaninteraction to assist with Remote Handling (RH) operations. To visually stimulate operatorassisted intervention in harsh environments, enhanced interaction based on syntheticvision has been adapted with simultaneous localization and mapping (SLAM) techniquesinterlinked with virtual layers representing a three dimensional manipulation of RHmaintenance tasks. The proposed platform also included a sequence mapping toolevaluated with RH task variables specific to the sequence space analyses of pathplanning, motion check, and collision detection performed in both real and virtual RH taskenvironments. Further assistance was envisaged from multimodal feedback categoriesthrough force feedback, in this case, a backpropagation algorithm was tailored to define aforce limit and to send feedback signals to the operator every time the actual patternexceeded the desired output pattern. Overall, the ArM platform ensures the application ofbest engineering practices to RH needs as a basis to maximize information gathering andsharing driven by continuous improvement initiatives.
Development of an Interaction Concept to Illustrate the Energy Transformation on an AR-Surface
Authors: Sawilla Swenja , Titov Waldemar , Trefzger Mathias , Fricke Nicola
Published: March 2023

Augmented Reality (AR) enables new forms of interaction and knowledge transfer for users. This paper describes a novel approach to visualize information of energy transformation on an AR-Surface. Aiming to provide a playful tangible interaction method with real data for citizens, especially for those locally effected by the changes in future energy production facilities; we analyzed which bifacial aspects can be drawn from the two novel interaction and visualization methods. Therefore, we projected databased information on the AR-Surface so that users were able to interact with the displayed information by placing or moving our own designed tangibles on the surface. In our user study, the participants interacted with a data set on renewable energy production. Through the tangible interaction, the user receives important information, e.g. about renewable energies and their performance. As an outcome of the study, we showed that the use of tangibles offers many advantages, such as fast and easy interaction on an AR-Surface as well as an improved user understanding. The gained insights will help for further implementations and visualizations in the field of AR combined with simple communication of energy topics.
Bulgaria's Digital Transformation
Authors: Bower Linda
Published: March 2023

For over three decades, Bulgaria has been advancing the level of technology in the country. The strategy has evolved from e-government into digital transformation. In the beginning, the country’s e-Government program was focused primarily on developing and upgrading infrastructure elements and main systems. However, the existing regulatory framework was able to accommodate e-Government, but it did not stimulate it. In addition, difficult to achieve high efficiency achieve high efficiency due to a lack of a systematic approach to e-Government development. Some agencies had progressed significantly in implementing electronic administrative services, but in general, e-services were limited.The government forged a strategic framework to implement e-government, and a new e-government agency was established to guide the process. Tis strategy has been successfully implemented: the government has gone paperless, citizens have mobile access to government services, and schools receive curriculum materials electronically. e-Government system, part of an end-to-end solution to provide e-Government services The main components of Bulgaria’s e-Government infrastructure include portals, networks, eIdentificatin/e/Authorization, and knowledge management. The legal framework includes legislation, freedom of information, data protection/privacy, e-commerce, e-communications, and e-procurement.Bulgaria has obtained significant benefits from this program. In particular, it has contributed to a tangible reduction of the administrative burden on citizens and business. Going paperless by itself has saved hundreds of tons of paper and humdreds of thousands of dollars annually. In addition, government processes have been optimized, and systems are more reliable and secure.The program continues with Digital Bulgaria 2025. This program has a vision beyond government operations and seeks to bring the benefits of digital technology to all sectors of the economy and society. The goal is to create an environment to foster the widespread use of information and telecommunications technologies (ICT), along with new technologies for businesses and citizens. Continued progress in e-government is an important part of the program, as well as modernizing education, improving the digital ICT skills of the workforce, and increasing the number of highly qualified ICT specialists. Significant benefits are expected from the implementation of this strategy.It encompasses achievements so far and the new European strategic and programming guidelines for achieving a smart, sustainable and inclusive digital growth. The goal is widespread implementation of intelligent solutions in all areas of the economy and society, and modernizing information and communications technologies (ICT
Internet of Things (IoT) based Drowsiness Detection and Intervention System
Authors: Singh Amandeep , Samuel Siby , Singh Jagmeet , Kumar Dhabi Yash
Published: March 2023

This study aimed to develop a non-intrusive smart monitoring system that could identify and prevent drowsy driving, reducing the risk of accidents. The study developed a system that uses video processing to measure the Euclidean distance of the eye and an eye aspect ratio (EAR) in order to detect drowsiness. The system employed face recognition to accurately identify the driver's eye aspect ratio. An Internet of Things (IoT) module used for remote assessment of the driver's drowsiness response in real-time. If the driver is in a drowsy state, the system sends an alert/warning to the driver and relevant authorities. In addition, if a crash occurs, the system sends a warning message with the location of the collision. The system was tested on 20 participants, achieving an overall eye detection accuracy of 99.98% (with glasses), 99.89% (without glasses), and a drowsiness detection accuracy of 98.05% (with glasses) and 99.05% (without glasses). This system has the potential to be implemented in a variety of driving applications, where expensive technologies are often difficult to adopt.
Cloud Based Password Wallet and Manager
Authors: Kunjir Vaibhav , Mavale Pranjal , Godase Abhishek
Published: March 2023

Although various solutions have been suggested for password management systems, most methods require the support of external physical hardware infrastructure. Due to the increase in complexity and cost of set-up of supporting hardware requirements, scalability will always be an issue with such systems. In this paper, we present the design of a Cloud based password management system. The proposed method uses Cryptography for better encryption and is supported by a web-based architecture, for easily managing passwords and providing an indoor cloud based password manager system . Keyword: Cloud Computing Restful API Cyber Security Password Manager