bluuebunny/crossref_metadata_2025 huggingface dataset:
First Evidence of Haplotypes of Babesia bigemina From District Sialkot Pakistan and Their Relation to Other Countries
Authors: Qureshi Asma Waheed , Mir Duaa
Published: August 2024

Babesiosis is a tick borne disease of animals and causes significant losses to livestock sector and in turn to the economy of Pakistan. Objective: To analyze the molecular and phylogenetic analysis of Babesia species for inter and intra specific genetic variations in district Sialkot, Pakistan. Methods: Total 150 (Cow=120, Buffalo=20 and Sheep=10) blood samples were collected. Microscopic examination of blood smears stained by field stain method was performed. DNA was extracted by phenol chloroform extraction method and 18S rRNA gene was targeted for PCR amplification. MEGAX software was used to perform phylogenetic analysis. Haplotype analysis was performed with Popart software by using median joining network method. Results: Out of 150 blood samples, 50 (33%) were positive for Babesia bigemina (B. bigemina). Out of these, 36 showed 446bp bands specific for 18S rRNA gene of B. bigemina. In Phylogenetic tree one sequence from cow had 98% similarity with sequence from Uganda while all other sequences from cow had 98% similarity with sequence from China. Isolate from buffalo showed 98% similarity with sequence of buffalo previously reported from Pakistan and sequence of sheep appeared as more related to buffalo samples. Haplotype analysis from current study revealed four haplotypes, two from cow, one each from buffalo and sheep. Conclusions: This study was helpful for molecular and phylogenetic analysis of Babesia isolates from district Sialkot, Pakistan. Haplotyping has revealed the genetic variants among different and same host species.
Effects of Inbreeding on Survival of Captive Bengal Tigers (Panthera tigris tigris) in Lahore Zoo
Authors: Nisar Khan Bushra , Azhar Muhammad , Hussain Nageen , Mukhtar Arshia , Haider Muhammad Adnan , Zulfiqar Romana , Abdullah . , Khan Muhammad Rizwan , Mahal Zaib , Bhatti Saman
Published: August 2024

The risk of inbreeding within captive tiger populations is a fundamental problem in conservation of wildlife. Objective: To determined high levels of inbreeding can result in reduced genetic variation, low reproductive performance, increased cub mortality and reduced immune competence. Lahore Zoological Gardens famous for its tiger exhibits. The current study has been palnned to understand the inbreeding in Bengal tigers (Panthera tigris tigris) at Lahore due to the production of offspring among similar individuals of the same families without change in blood line. Stillbirths and rickets are an inbreeding issue for tigers at Lahore Zoo. Methods: The issue of inbreeding was highlighted in 2008. From 2008 to 2020, repeated cases of inbreeding have occurred. Results: Among the 19 new-born cubs, 9 were male and 10 were female. The normal birth rate for cubs was 63% and stillbirth was 37%. The percentage of white-colored cubs was 72%. The newborn tigers suffered from various conditions such as autolysis, squint eyes, blue eyes, white color, malformation, and infection. Because of this, tiger breeding was banned in 2010. In 2018 and 2022 new tigers was imported to replace the blood line. A pair of them produced four cubs, all of which died at the age of 11 weeks. Conclusions: Based on this, it was recommended that the genetic analysis of the existing tigers at Lahore Zoo and at different captive sites in the province be performed. Apart from that, revision of the collection plan, blood line change and artificial insemination are also recommended
The Effect of Drainage Radius Interference on the Design of Infill Well in FA Field
Authors: Herianto  , Ratnaningsih Dyah Rini , Choiriah Umiyatun , Aulia Fitrah
Published: August 2024

In mature fields like FA Field, addressing production decline involves strategic infill well drilling to boost output from active structures. The location and number of infill wells are determined through bubble map analysis during development planning. The research methodology includes calculating recovery factors, estimating remaining reserves, predicting production increases post-infill drilling, and assessing infill well impacts. FA currently operates 13 development wells yielding approximately 346 bbl/day. Calculations reveal 5.41 MMSTB in remaining reserves with a 22.55% recovery factor. Bubble and iso-saturation maps identified locations for INF-1 and INF-2 infill wells, affecting specific observation wells. INF-1’s placement near A-1, A-3, A-5, and A-7 resulted in a 10.69 BOPD decline offset by 54 BOPD additional production. INF-2, affecting 2 wells, saw a 6.37 BOPD drop and 44 BOPD increase. These scenarios illustrate how overlapping areas from infill wells decrease surrounding well production rates.In the base case scenario, without optimization, the recovery factor stands at 28.09%. With one infill well affecting 4 drainage radius, it rises to 29.6%; with two, to 30.92%.
Understanding Hypertension Prevalence among Starving Young Adults in Conflict-Affected Sudan
Authors: Ali Amani A , Ali Y H , Abdellatif M M , Rikabi Hind A , Soomro Samreen , El-Karim EM Abd , Ghadi M M , Ishraga A A
Published: August 2024

Hypertension is a prevalent global health challenge with multifactorial etiology, including economic instability, environmental stress, and nutritional deficiencies. This study investigates the prevalence of hypertension among starving young adults in conflict-affected states of Sudan, exploring the interplay of nutrition, health, and socio-economic dynamics. Data was collected from displacement camps in Al Jazirah, Central Darfur, and Khartoum, involving 720 participants over 16 months. Standardized protocols were employed for blood pressure measurement, laboratory tests, and clinical examinations. Statistical analyses revealed a significant association between starvation-related factors and hypertension prevalence, with a history of hypertension, inadequate nutrition, and food insecurity emerging as key predictors. The findings underscore the urgent need for targeted interventions to address food insecurity, improve access to nutritious food, and enhance healthcare infrastructure in displacement settings to mitigate the burden of hypertension and related cardiovascular complications. This study contributes to understanding the impact of starvation on cardiovascular health outcomes, informing public health policies and interventions in resource-constrained settings.
Pride in Sports: Challenges and Coping Mechanisms Experienced by Gay and Lesbian Athletes
Authors: Moncal Jason V , Angar Frederick , Longakit Jet C , Aliser Johnlenon
Published: August 2024

This study explores the multifaceted perspective of gay and lesbian athletes participating in sports, specifically focusing on their challenges and coping mechanisms. A total of six (6) gay and lesbian athletes engaged in various sports were subjected to semi-structured interviews to investigate the impact of their experiences during sports participation and the development of their coping mechanisms. Despite growing endeavors towards acceptability and inclusion within the realm of sport participation, gay and lesbian athletes continue to face substantial challenges related to negative thoughts and feelings and social problems. Findings suggest that gay and lesbian athletes conceal their sexual orientation, actively seek support from peers, family, and coaches, and develop a strong sense of identity to navigate these challenges effectively. Moreover, it examines the coping mechanisms employed by gay and lesbian athletes to overcome these challenges, such as self-affirmation, establishing relationships, and coping strategies. Through exploration of these challenges and coping mechanisms, this study aims to shed light on the complexities of gay and lesbian athletes’ experiences in sports and provide valuable insights for fostering greater enhanced inclusivity and support networks within sports communities.
MANAGEMENT OF TRAUMATICALLY INTRUDED INSICOR INTO THE NASAL CAVITY ASSOCIATED WITH AN IMPACTED SUPERNUMERARY TOOTH
Authors: J DIMPLEJA , RAHNUMA ZARRIN , HARIS MISHAL , BISWAS ANIRBAN
Published: August 2024

Numerous injuries affecting the tooth and its supporting components can arise from dental trauma. A displacement of the tooth in an apical direction into the socket is known as an intrusive luxation, and it is one of the most serious forms of dental traumatic injuries. In contrast to other luxation injuries, intrusion is uncommon in permanent dentition. It includes 5%–12% of dental luxation and 0.5-2.9% of all traumatic injuries in the permanent dentition. The patient's age, the kind of dentition, the stage of root development, the duration and severity of the trauma, and other factors can all affect the course of treatment and prognosis for invasive luxation. A range of therapeutic approaches are recommended for the management of invasive luxation. Letting the tooth erupt naturally is one option. Using orthodontic forces to realign the tooth is an additional therapeutic option. It has also been suggested that immediate surgical repositioning can be done. In this case intruded tooth was also associated with a supernumerary tooth, hence a planned surgical extraction and orthodontic extrusion was carried out to restore the form and functions of the tooth.
Exploring Machine Learning and Spider Communication Research: Deciphering the Vibrations of Spiders
Authors: Eissa Mostafa
Published: August 2024

Machine learning (ML) provides a strong way to unravelling the mysteries of spider communication, a complicated system mediated by vibrations. These vibrations include a multitude of information regarding a spider's behavior and state, as evidenced by sophisticated timing patterns and amplitude fluctuations. Traditional approaches, which rely on human feature extraction and categorization, fail to capture the entire richness of this data. Supervised learning systems, trained on labelled vibration data, may automatically categorize signals like courting displays, territorial defense, and kin identification. Unsupervised learning can reveal hidden patterns in unlabeled data, which may lead to the discovery of novel communication signals or behaviors. Deep learning's capacity to understand complicated correlations from big datasets offers great promise for deciphering the intricate codes embedded in these vibrations. By combining these machine learning approaches, researchers can acquire unique insights into spider language. This not only transforms our knowledge of spider behavior and communication in behavioral ecology, but it also has the potential to spur advances in biomimetic technology inspired by these intriguing creatures.
The Art of Threat Modeling
Authors: Hammami Amir
Published: August 2024

Cybersecurity relies on threat modeling to forecast and mitigate security attacks. This research analyses alternative threat modeling methods to fill gaps in existing methods. We conducted a thorough literature analysis and used Microsoft's threat modeling technique to a real-world cybersecurity situation. Key results emphasize the applicability of different methodologies in various circumstances by highlighting their strengths and drawbacks. This research provides insights on tailoring threat modeling methodologies for industry standards, demands, and system features. We include performance data to assess each approach, improving technical substance and clarity. Case studies show how threat modeling may be used in different contexts, guaranteeing uniform formatting and style.
Knowledge and Awareness of Evidence Based Medicine among Clinical Medical Students of a University in Nigeria
Authors: Magaji Bello , Haliru Sirajo , Abubakar Ahmad , Balarabe Ahmad , Ahmad Abdulbasit , Aniefuna Nnamdi
Published: August 2024

Background: Clinical medical students should understand evidence-based medicine (EBM) to make informed, cost-effective, and acceptable clinical judgments. However, they are not routinely taught about EBM. Objective: This study assessed the awareness and knowledge of EBM as well as the factors associated with it among clinical medical students at Usmanu Danfodiyo University, Sokoto. Materials and methods: This cross-sectional study was conducted between July and December 2019. The study participants were clinical medical students in their 4th to 6th year of study. The data was analyzed using SPSS version 20.0 for Windows. The proportions and percentages were calculated, and comparisons were done using Chi-square. A p-value ≤ 0.05 is considered significant. Results: A total of 300 medical students were studied. The mean age was 25 ± 3.0 years. The male-to-female ratio was 2.7:1. The majority were Hausa 224 (74.7%). Close to half 134 (44.27%) were in their early clinical year. Overall, the majority ever heard about EBM during the clinical years was 243 (81.0%). A total of 123 (41.0%) had adequate knowledge of EBM. The majority are willing to learn more about EBM 215 (71.7%). There is no EBM in the current curriculum for medical students at any level. None of the factors examined were associated with knowledge of EBM. Conclusion: Poor awareness of EBM among clinical medical students was found. We recommend the inclusion of the EBM curriculum in teaching clinical medical students. There should be regular EBM workshops and access to online medical journals for knowledge and research purposes.
Grimace scaling after mouse laparotomy with various doses of lidocaine, bupivacaine, and a combination of lidocaine/bupivacaine in post-surgical analgesia
Authors: Kameli Ashkan , Hashemi Farajollah , Mohammadsadegh Majid , Nikzad Reza
Published: August 2024

Pain management after surgery is one of the things in improving the condition of patients in veterinary and human medicine, which was controlled in small animals with drugs and systemic anti-inflammatory drugs. Analgesics were administered subcutaneously using the usual infiltration injection method in small animals before the start of surgery. In this study, post-anesthesia recovery and pain levels were investigated following the analgesia of subcutaneous injections after abdominal surgery with lidocaine and bupivacaine drugs and their combination. Lidocaine 0.1 and 0.15mg.kg-1 and bupivacaine 1 and 2mg.kg-1 and combination with doses of 0.1mg.kg-1 lidocaine and 1mg.kg-1 bupivacaine were used for this research. Also, the data of this study was evaluated using Rodent Face Finder software, which was one of the newest methods for evaluating pain during the recovery of animal models based on clinical changes. Clinical changes include ratings in eye-opening (Orbital changes), various ear angles (Ear changes), whisker stance (Whisker changes), and cheek angle (Cheek changes). The videos were taken at 0, 2, 4, 8, 12, and 24 hours from different groups have been analyzed by software and statistical evaluation data. The results obtained 2 hours after the surgery of the combined drug group (mixed drugs) have a significant difference compared to all groups (P<0.05), and the rest of the groups did not have a significant difference (P>0.05) due to the effects They are indifferent. Pain before anesthetics and anesthesia can be justified. At 4 and 8 hours, the lidocaine and bupivacaine groups are not significantly differentiated from each other (P>0.05), but the treatment groups are different from each other (P<0.05). At 12 hours, the lidocaine groups and the saline 0.09% group had significant differences (P<0.05), and the rest of the groups did not have differences (P>0.05). At 24 hours after surgery, only the control group has a significant difference from the other groups (P<0.05). The study showed that the combination of anesthetic drugs with the specified doses brings adequate analgesia in the first hours after surgery, and proper recovery is observed compared to other treatment groups. Also, different rates of postoperative analgesia at 4 and 8 hours after surgery have no significant effect on the process of analgesia. Anesthetic drugs can have a significant effect on the initial recovery process.
Adaptation of the parents' sleep knowledge inventory to the Turkish language
Authors: Karabulut Demet , Akbas Ayse
Published: August 2024

It's critical to identify sleep disturbances from the earliest period in childhood. For this reason, parents should have sufficient information about their children's sleep habits. The purpose of this study was to adapt the Parents' Sleep Knowledge Inventory (PSKI) to the Turkish language and examine the reliability/validity of the inventory. 182 children between the ages of 3 and 12 with typically developing and developmental disabilities participated in the study. The participants were evaluated with the Parents' Sleep Knowledge Inventory and Children's Sleep Habits Questionnaire (CSHQ). After the translation stage, internal consistency (with Cronbach alfa) and test-retest reliability (with Intraclass Correlation Coefficients) of the PSKI were calculated. The validity of PSKI was analyzed according to the correlation with CSHQ. The internal consistency of the PSKI was determined to be acceptable for the total inventory (Cronbach's alpha=0.774). The test-retest reliability values were found to be extremely high (Intraclass Correlation coefficients=0.977). There was a weak correlation between PSKI and CSHQ domains (p<0.05). It was determined that the Turkish PSKI had acceptable reliability however, its validity could not be demonstrated in this study. We think it may be due to the differences in the focus of these inventories. Turkish PSKI is an appropriate tool to evaluate the parents' knowledge of sleep in children with typically developing and developmental disabilities.
Impact of home-based Otago exercise program on activities of daily living and balance in elderly
Authors: Pyati Vani , Bhowal Roopali , G Sanjaya , Saikia Ranjita
Published: August 2024

Background: Balance dysfunction seems to be a common complaint in the elderly making them vulnerable to increased risk of fall. The Otago exercise program (OEP) consists of strength training, exercises to improve balance and cardiovascular function. Fall prevention programs in the elderly are of recent growing research interest; however, limited studies have been done on interventions aiming at enhancing activities of daily living (ADL). The aim of this study was to see the efficacy of OEP in enhancing ADL performance and improving balance in the geriatric population.

Aims and Objectives: To study the effect of OEP on ADL, balance, and fall risk in the elderly.

Materials and Methods: A sample of 100 subjects was recruited from Navodaya Medical College Hospital and Lalitha-Home for the Aged, Raichur. Balance was assessed with the Berg balance scale, strength was assessed using 30 s sit-to-stand, confidence in ADL performances was evaluated by the activities-specific balance confidence scale, and fall risk assessed by the 7-item Falls Efficacy Scale International. The subjects practiced warm-up, strengthening, and balance exercises of the program thrice a week for 3 months with alternate periods of walking.

Results: Statistical analysis showed significant improvements in balance, strength, ADL performances, and reduction of fall risks.

Conclusion: The study concludes that OEP improved both static and dynamic balance with enhanced participation in ADL performances and also aids in the decrement of fall risks in the elderly.
Dilemmas and Breakthroughs in the Application of the Principle of Common but Differentiated Responsibilities in the Context of COP28
Authors: Fan Haizhen
Published: August 2024

The 28th Conference of the Parties to the United Nations Framework Convention on Climate Change (UNFCCC) to be held in Dubai, UAE, in 2023 has reached the “UAE Consensus”, which symbolizes that the principle of common but differentiated responsibilities has entered into a new stage, presenting a new pattern of flexibility, procedure and dynamism. However, the problems that still exist in the Conference mean that the principle of common but differentiated responsibilities is still in the process of being realized, and there are still dilemmas such as uncertainty about the legal attributes of the principle, the lack of a specific system to ensure its implementation, and the insufficient capacity of developing countries in terms of financial and technical support. Based on the above, we would like to put forward some suggestions for improving the application of the principle of common but differentiated responsibilities in China: firstly, the status of the principle should be clarified; secondly, a system should be set up to ensure its implementation; and lastly, the provisions on capacity-building for developing countries in terms of financial support and technical assistance should be fine-tuned. Under the current situation, guaranteeing the realization of the principle of common but differentiated responsibilities will be of great significance to the containment and improvement of global climate change.
Construction of China’s National Image in the Digital and AI Era: A Study on the Influence of National Language Capacity in Media Narratives
Authors: Zhou Xinxin , Jiang Xiaoxuan
Published: August 2024

This paper aims to explore the construction of China’s national image and the influence of national language capacity in this process against the backdrop of the digital and Artificial Intelligence (AI) era. With the rapid development of digital and intelligent technologies, the media has undergone profound changes, presenting new challenges and opportunities for the dissemination of national images. The paper first analyzes the definition, components, and evaluation indicators of national language capacity and discusses its significant role in international communication. It is found that national language capacity plays a crucial role in the construction of a national image, as it not only enhances the efficiency of international communication but also strengthens a nation’s cultural soft power. The paper proposes that improving national language capacity requires efforts on four levels: policy, media, the public, and international cooperation.
Study on the Legal Problems of the Exemption System of Personal Bankruptcy
Authors: Wang Renjie
Published: August 2024

The core of personal bankruptcy is the exemption system, which gives honest and unfortunate debtors a chance to start over and guarantees their basic rights of survival and development, is an important system for maintaining sound socio-economic functioning and for resolving difficult issues of court enforcement, not only in helping natural debtors in debt deadlocks in individual cases, but also in helping markets to recover as quickly as possible, thereby improving the overall well-being of society. However, throughout the world, whether it is a country that has established the personal bankruptcy system for a long time, or a country that is in the initial stage of exploring the personal bankruptcy system, personal bankruptcy exemption, a well-meaning legal system, has inevitably caused some negative effects and hindered the operation of the system as a whole. In order to guarantee the good operation of the personal bankruptcy exemption system in our country, we should establish such systems as the incentive system of the bankruptcy person with good faith and the property registration system to support the operation of the procedure, improve the link between personal bankruptcy exemption and civil law, Civil Procedure Law, company law, etc., in order to guarantee the validity and feasibility of personal bankruptcy exemption system, the procedures of debtor's application, administrator's opinion, Creditor's objection, relief and rescission are detailed.
Analysis of Advanced Models of Labor Education in Vocational Schools in the New Era and Thoughts on Curriculum Optimization
Authors: Mei Shaomin
Published: August 2024

This paper focuses on the important topic of labor education in vocational schools in the new era. Based on in-depth exploration of relevant theories and practices, it comprehensively analyzes many problems existing in the current labor education in vocational schools, such as insufficient attention, weak teaching staff, lack of practice bases, and imperfect evaluation mechanisms. Then, it puts forward a series of targeted optimization strategies, including strengthening the educational concept, optimizing the curriculum system, strengthening the construction of the teaching staff, improving the practice bases, and establishing a scientific evaluation mechanism. At the same time, it deeply discusses and expounds on advanced modes, such as industry-education integration, innovation and entrepreneurship education, and modern apprenticeship, aiming to promote the high-quality development of labor education in vocational schools, cultivate high-quality laborers that meet the requirements of the new era, and provide strong talent support for social and economic development.
O USO DAS TECNOLOGIAS DA INFORMAÇÃO E COMUNICAÇÃO (TIC’S) NO ENSINO DE CIÊNCIAS COMO FATOR MEDIADOR PARA MOTIVAR O ALUNO NO PROCESSO DE APRENDIZAGEM
Authors: Baldassini Rutineia dos Santos
Published: August 2024

Promover o aprendizado de ciências aprimorado pela tecnologia nas escolas primárias é um desafio contínuo, pois os jovens alunos nem sempre estão motivados a se envolver com as aulas de ciências. Verifica-se na literatura mundial que o uso da tecnologia tem resultado em maior envolvimento com a aprendizagem de ciência. No entanto, a associação entre o aprendizado de ciências aprimorado pela tecnologia e a motivação dos alunos para aprender, ainda é discutida entre os pesquisadores. Assim, o objetivo deste estudo é discutir o uso da tecnologia na aprendizagem de ciências e sua associação com a motivação dos alunos no processo de aprendizagem. Como justificativa tem-se o fato de que, no mundo pós-pandêmico de hoje, especialistas em educação estão debatendo cada vez mais sobre os ambientes de aprendizagem apropriados, com uma preocupação básica de promover a motivação dos alunos para aprender ciências. Os resultados deste estudo levam à conclusão de que, no geral, é essencial a inserção da tecnologia para apoiar o aprendizado das práticas científicas, pelos benefícios de envolver e motivar os alunos no ensino de Ciências.
IMPLEMENTAÇÃO DE PRÁTICAS SUSTENTÁVEIS NA ENGENHARIA CIVIL
Authors: Brunoro Adrya , Brunoro Alcimara , Costa Deckson Lacerda de Sousa , Jesus Amailson Ferreira de , Pessoa Filho Leonardo Telles de Souza , Viana Davi Messias Rodrigues , Sousa Victor Emanuel Melo de , Bastos Ruan Sousa , Silva Ana Luzia Araújo da
Published: August 2024

Este estudo investiga a implementação de práticas sustentáveis na engenharia civil, com base em uma análise teórica da literatura científica. O problema central abordado é a necessidade urgente de mitigar os impactos ambientais negativos causados pela construção civil. O objetivo do trabalho é identificar e discutir práticas sustentáveis aplicáveis a diferentes tipos de edificações, como edifícios residenciais, comerciais e instalações públicas. A metodologia utilizada incluiu a definição de critérios de sustentabilidade baseados em normas internacionais e a análise qualitativa e quantitativa de dados obtidos de artigos científicos e relatórios técnicos. Os resultados destacaram práticas eficazes, como o uso de materiais reciclados, sistemas de eficiência energética e gestão eficiente de recursos hídricos. A comparação entre diferentes tipos de edificações revelou benefícios significativos, como a redução de custos operacionais e a melhoria da saúde e bem-estar dos ocupantes, embora desafios como os altos custos iniciais e a resistência cultural à mudança ainda persistam. Conclui-se que a adoção de práticas sustentáveis é essencial para promover um desenvolvimento equilibrado e sustentável na construção civil, oferecendo vantagens ambientais, econômicas e sociais. Este estudo contribui para o avanço da construção sustentável, fornecendo uma base sólida para futuras pesquisas e práticas na área.
PELATIHAN PEMBUATAN PUDING DAUN BINAHONG BAGI IBU-IBU PKK DESA PAGERTOYO KECAMATAN LIMBANGAN KABUPATEN KENDAL
Authors: Puspitasari Anita Dwi , Pertiwi Siti Maisyaroh Bakti , Nugroho Rahmadinda Maharani , Putri Galuh Lukita
Published: August 2024

Pagertoyo Village, Limbangan District, Kendal Regency is one of the villages that has the potential for growth and development of herbal plants. One of them is the binahong plant (Anredera cordifolia). This plant has the property of curing various diseases, including lowering blood pressure and gout. This community service aims to provide education about the benefits of the binahong plant and training in making binahong pudding to PKK women in Pagertoyo Village, Limbangan District, Kendal Regency. Implementation of activities was carried out in 3 stages. The first stage is a health check (check blood pressure and uric acid). The second stage is education about the benefits of the binahong plant. The participants were given a lecture about the benefits of the binahong plant followed by a discussion and question and answer session. The third stage is training in making binahong pudding. The implementation of this community service activity ran smoothly and successfully. The participants actively participated in question-and-answer sessions and discussions as well as training.
PELATIHAN MICROSOFT OFFICE BAGI PERANGKAT DESA KRAKITAN UNTUK MENDUKUNG PENGELOLAAN ADMINISTRASI DESA BERBASIS TEKNOLOGI KOMPUTER
Authors: Sulistyowati Istri , Retnowati Niken , Kusuma I Wayan Angga Wijaya , Kusumadewi Afriliana , Windarti Mariana
Published: August 2024

This service aims to provide training to Krakitan village officials about the importance of information technology (one of which is Office Word) to support the performance of village officials in carrying out daily tasks serving village communities and to improve the quality of human resource performance, especially village officials in managing village administration activities. The activity method is carried out through direct training and practice. In this training, a basic introduction to computer use is provided, and training uses the Microsoft Word 2010 application. Then, case studies are provided for participants to complete. Next, an evaluation is carried out to determine the participant's level of ability after participating in the training activities. From the results of the activity, it was concluded that the training participants gave a positive response and were enthusiastic about participating in the activity from start to finish. The evaluation results also showed an increase in participants' abilities in operating Office Word as measured by the case studies given to participants which were completed well.
Anomaly Detection in Cybersecurity with Graph-Based Approaches
Authors:   Master of Cybersecurity (Extension) & University of Technology Sydney (UTS), Australia, Sozol Md Shariar , Saki Golam Mostafa ,   Msc in Engineering Management & University of South Wales, United Kingdom (UK), Rahman Md Mostafizur ,   Master of Engineering (Extension) & University of Technology Sydney (UTS), Australia
Published: August 2024

The field of cybersecurity is changing dramatically in this dynamic age of digital revolution. This work on Anomaly Detection in Cybersecurity using Graph- Based Approaches represents a ground- breaking project that uses Graph Neural Networks' (GNNs'), Graph-Based Behavioural Anomaly Detection (GBBAD), Behavioural Identification Graph (BIG) and Graph-Based Botnet Detection (GBBD) capabilities to revolutionize the way we defend our digital borders. The discovery signifies a noteworthy progress in uncovering abnormalities. The precision and flexibility of this system has been emphasized by the ability to identify minute anomalies within intricate network interactions. Graph based techniques locating nodes or edges diverging from the normal behaviour of a graph carry out anomaly detection on graphs. There are several cyber security threats including fraud, malware incursions and network attacks that can be detected using graph-based anomaly detection methods. However, there are still some areas that need more attention. For instance, one possibility is to utilize the graph-based algorithms for pre-filtering alerts from firewalls and other cybersecurity systems. Such development would significantly reduce the workload for security analysts as well as improve overall security posture. In this research work an overview of current methods of detecting anomalies on cyber security using graphs has been presented. Key Words: Graph-Based Anomaly Detection (GBAD), Graph Neural Networks (GNNs), Graph-Based Behavioural Anomaly Detection (GBBAD), Graph-Based Botnet Detection (GBBD), Types of Anomalies, Availabilities of Data Levels.
Conflicts Resolution in Mobile Distributed Real-Time Database Systems: Issues and Challenges
Authors: Gupta Divya , Pandey Sarvesh , Shanker Udai
Published: August 2024

The proliferation of cellular communication technology has been facilitated by the reduction in hardware costs, which has enabled a wide range of applications for mobile users, including but not limited to e-commerce, online transactions, and smart cities. Integrating mobility into databases has resulted in the creation of mobile distributed real-time database systems (MDRTDBS), which encounter recurrent disconnections that pose challenges to the realization of timely transactions and data consistency. This article presents a comprehensive review of existing solutions, emphasizing data conflict resolution, and proposes future strategies to meet the growing demands of society. Our ultimate objective is to establish an efficient MDRTDBS that offers seamless mobile experiences to individuals in our interconnected world. Keywords: MDRTDBS, transaction processing, data conflict, mobile database, and concurrency control.
Brain monitoring technologies in neuroscience clinical research- Significant potential with the advancement of remote monitoring through the use of sensors, wearable devices, and mobile technology
Authors: CHOUGULE TEJAS SACHIN
Published: August 2024

The advancement in the miniaturization and cost-effectiveness of sensors and circuitry has driven innovation in wearable and microsensor technologies for health monitoring. These developments enable the creation of devices capable of measuring complex health parameters in non-specialist and remote environments. In this article, we explore various innovations in brain monitoring, including portable and wearable devices for direct measurement of brain electrical activity, as well as tools that assess related functions such as sleep patterns, gait, cognition, voice acoustics, and gaze tracking. Although further scientific validation is necessary, we suggest that the current understanding of these methods is sufficient to consider them as exploratory tools in clinical research. The extensive and frequent data they generate could offer valuable insights, justifying their inclusion in clinical study designs. Understanding brain function is an incredibly complex task. As Emerson M. Pugh famously remarked, "If our brains were simple enough to understand, we’d be so simple that we couldn’t comprehend them." Given this complexity, a range of tools have been developed to assess various aspects of brain activity. These tools include direct measures of brain function, such as electroencephalography (EEG), as well as indirect measures like sleep patterns, gait, cognition, and gaze analysis. This blog delves into the rapidly growing field of remote-monitoring sensors, wearable devices, and mHealth (mobile health, which involves using mobile devices like smartphones and tablets in healthcare). It explores how these technologies can be harnessed for large-scale clinical trials and patient monitoring, extending their utility beyond just market approval.
Detecting Defect in Central Pivot Irrigation System using YOLOv7 Algorithms
Authors: Haggab Omar N. , Al-Qaysi Z.T.
Published: August 2024

Central Pivot Irrigation System (CPIS) is a significant method for intelligent irrigation used in global agriculture. It is used to cultivate important crops like wheat, which contribute to global food security. However, the CPIS encounters technical issues that result in malfunctions in its automatic control system, leading to damage to the primary pipes and towers. This can result in significant material losses for farmers and their crops. Repairing the system is also a time-consuming process. To address this issue, a study was conducted using YOLO algorithm which contains several models, and this study used the Yolov7 models to detect defects in the CPIS machine accurately. The study used a dataset gathered from agricultural areas in Salah al-Din Governorate. The models were used to determine whether the CPIS was in a safe or dangerous state. The RGB color system with Yolov7x achieved a 95% detection rate with an accuracy, F1-score, and precision values of 0.798 and 0.954. Similarly, Yolov7x achieved a 93% detection rate with accuracy, F1-score, and precision values of 0.77 and 0.932 in the Grayscale color system. Based on the outcome, this study can conclude that the yolov7x model with RGB Color System accurately detects the CPIS in both its safe and dangerous states. This makes them useful in real-time systems for CPIS defect monitoring and control.
ANALISIS TINGKAT KELELAHAN PEKERJA BATIK JAMBI TERHADAP PRODUKTIVITAS DENGAN METODE REGRESI LINEAR
Authors: Rahmatika Daumi , Chandra Dewi Diana
Published: August 2024

Penelitian ini bertujuan untuk melakukan pengukuran tingkat kelelahan pekerja UMKM Batik Jambi CV.Bunga Matahari terhadap produktivitas dengan jumlah pekerja yang diteliti sebanyak 5 orang. Pengambilan data dilakukan dengan cara observasi dan wawancara. Analisis data dilakukan dengan teknik analisis regresi linier. Hasil penelitian menunjukkan bahwa perubahan kelelahan kerja yang telah diamati dinyatakan bahwa Bapak Santo,Ibu Een dan Ibu Tis dinyatakan ada pengaruh terhadap produktivitas, beban kerja berat dapat meningkatkan kelelahan kerja yang dapat mempengaruhi penurunan produktivitas perusahaan.
Exploring Nature's Remedy: Medicinal Plants Combatting Diabetes in Animal Studies
Authors: Ahmad Mir Mashooq , Dar Mohd Altaf , Qadir Afshana , Qadrie Zulfkar , Ashraf Humaira
Published: August 2024

Diabetes is a persistent hormonal disorder that is widespread worldwide and its occurrence is on the rise. Diabetes is a significant health problem that affects people of all ages due to its involvement in multiple body systems and the potential for devastating complications. Despite advancements in drug discovery and therapeutic approaches, effectively treating diabetes continues to be a formidable issue. Consequently, global research efforts are concentrated on discovering alternative methods. Through extensive analysis, a multitude of conventional remedies have been discovered for diabetes. Compounds and extracts derived from many natural sources, notably plants, have always been a popular tool for managing and treating complex genetic illnesses and the associated complications. therapeutic herbs have demonstrated encouraging effects in experimental animals, which can be extended to people as well. This research will examine different medicinal plants that have demonstrated anti-diabetic effects in experimental animals.
Computational Thinking, Plug and Unplug Theory: A Review of the Literature
Authors: SOHIBUN Sohibun , SETIAWAN Agus , SAMSUDIN Achmad , SUHANDI Andi
Published: August 2024

The purpose of this study was to ensure that computational thinking (CT) is viewed as a critical skill necessary to adapt to the future. However, educators, especially teachers and researchers, have not made it clear how it should be taught. In this study, we conducted a meta-review of studies published in academic journals from 2018 to 2023 and divided them into application courses, adopted learning strategies, participants, teaching tools, programming, impact, creativity and course categories for CT education. The review results depicting that the promotion of CT in education has made great strides over the past decade. In addition to the increasing number of CT courses in each country, the subjects, research topics and materials have also become more diverse in recent years. It was also noted that CT applies primarily to program design and computer science activities, with some research being related to other subjects. On the other hand, most studies employ project-based learning, problem-based learning, collaborative learning, and game-based learning for CT activities. This means that activities such as aesthetic experiences, design-based learning, and storytelling are employed relatively infrequently. In addition, students' cognitive abilities vary by age, so CT skill development methods and content standards should vary accordingly. Furthermore, most studies reported on CT performance and prospects of learners, but little training of learners' information social skills. Research trends and potential research topics in CT are therefore suggested as a reference for researchers, educators, and policy makers.
Mapping the Field of Digital Nomadism: A Bibliometric Analysis Using VOSviewer and R
Authors: ÖZYÜREK Hamide , BABACOGLU Sinan , POLAT Mustafa , TUREN Ufuk
Published: August 2024

This study aims to conduct a comprehensive review of research on digital nomads, focusing particularly on open-access articles published in English. The methodology employs advanced bibliometric techniques such as co-citation analysis, keyword co-occurrence, co-word analysis, trend topics, thematic evolution, and scientometric mapping. A total of 116 documents from the Web of Science, spanning the period between 2005 and March 28, 2024, were screened and analyzed using the VOSviewer, MAXQDA, and R programs. For this investigation, we utilized Biblioshiny, an R-based graphical interface of Bibliometrix, renowned for its ability to create clear visualizations of literature through text-mining functionality, revealing the conceptual and intellectual structure of the field. Distinguished by its comprehensive methodology, temporal coverage, and scope on the topic of digital nomadism, this study sets itself apart from previous articles. It traces the evolution of research in this area, offering a nuanced identification of gaps and future research opportunities. Basic findings of our study: The top five most frequently used keywords, with the highest connection power, are digital nomads, digital nomadism, remote work, nomadic work and mobility respectively. Our analysis reveals that the journals with the highest number of articles and citations in this field include World Leisure Journal, Worldwide Hospitality and Tourism Themes, Information Technology \& Tourism, Computer Supported Cooperative Work-The Journal of Collaborative Computing and Work Practices and Sustainability. When considering the number of articles and citations by country, the USA, England, Russia, Australia and Spain emerge as the leading contributors. Through highlighting information gaps and suggesting research opportunities, this study aims to contribute to the shaping of future research paths in the field of digital nomadism.
Big Data and Analytical Strategies for Cloud ERP Systems with Business Simulation
Authors: MASNEC Lea , PICEK Ruben
Published: August 2024

In the changing landscape of the business world, the rapid pace of change has led to an increasing demand for innovative approaches to problem-solving and optimization. With the ongoing advancement of ERP (Enterprise Resource Planning) systems, which now incorporate predictive analytics, cloud computing, and business analysis through simulations, businesses have new opportunities to enhance their operations. This paper explores a business analysis framework within the context of cloud ERP systems using test data of one company as a case study. Such a business-oriented approach, driven by the adoption of innovative practices, empowers companies to adapt swiftly to the changing dynamics of the market. This paper primarily offers insights into the possibilities unlocked by ERP systems using predictive analytics and business analysis via simulations. These insights encompass a combination of various factors that impact business operations, such as pricing strategies, market segmentation, resource allocation, and other critical components. Furthermore, leveraging a myriad of today's tools, this research demonstrates that after constructing a data model, operations like classification and time series forecasting can be executed on the dataset, all of which significantly influence the final business decisions. This research seeks to provide a broader perspective on problem-solving within the context of ERP systems and how they enable data-driven decision-making for enhanced business performance.
Edible Coating from Breadfruit Starch and Chitosan for Food Packaging
Authors: SULISTYOWATI Dewi , HERNANI Hernani , SUPRIATNA Asep
Published: August 2024

Lectures that encompass Education for Sustainable Development (ESD) can encourage awareness about sustainable development by integrating current issues, such as the potential of breadfruit starch and chitosan for making edible coatings for food packaging. This work aimed to study the development of edible coating from breadfruit starch (BS) and chitosan (CH) for food packaging based on SDGs aspects and as preliminary research to develop worksheets for prospective chemistry teacher students. BS-CH edible film developed by solvent evaporation method, thickness measurement, and physical properties for application on chili, carrot, and sweet potato which. The results showed that the optimal comprehensive properties of the film were obtained when the mass ratio of 3% AS to 1% CH was 7:3. The solubility test results show that the addition of CH ratio increases the swelling of the film before the dissolution process. The tensile strength and elongation of the film increased with the addition of CH until the optimum condition with tensile strength values of 3.01 MPa and 58.26%. The optimum mass ratio was applied through the coating of carrot, chili, and sweet potato which can prevent mass weight and mushroom. Apart from that, student opinion data was generated in the form of potential edible coating topics in the theme of ESD issues. In addition, student opinion data was generated in the form of expectations of edible coatings topics in ESD-laden chemistry learning, including understanding and applying ESD principles and the context of edible coatings and introducing the potential of edible coatings in society so that it is expected to improve 21st-century skills. The results of this research show the need to integrate the topic of edible coating of breadfruit starch and chitosan in worksheets for prospective chemistry teacher students.