bluuebunny/crossref_metadata_2025 huggingface dataset:
Política externa como política pública: proposta de análise relacional a partir de redes e espaços sociais
Authors: Targa Leandro Garcez , Valente Mario Schettino , Lopes Dawisson Belém
Published: August 2024

Este artigo apresenta um framework que integra dois modelos de análise relacional: a análise de redes sociais de políticas públicas e a construção de representação geométrica dos espaços sociais de agentes de políticas públicas, utilizando a técnica estatística da análise de correspondências múltiplas (ACM). O objetivo principal deste estudo é compreender a política externa em suas diversas fases, fundamentando-se nas características específicas dessa área enquanto política pública. A política externa, em regra, enfrenta maiores constrangimentos, devido à sua conexão direta com o ambiente externo, por um lado, e às dinâmicas domésticas de competição, coordenação ou cooperação entre entidades com capacidades assimétricas, por outro. A internacionalização das políticas públicas amplia o caráter transversal da política externa; a falta de institucionalização de canais de participação e contestação, aliada a restrições à informação, transforma essa política pública em um fenômeno singular. A abordagem proposta busca superar desafios teóricos e empíricos, tentando compreender características sociais dos agentes na política externa e oferecendo maneira alternativa para avaliar o ciclo da política externa, marcado por confidencialidade, dispersão de agentes e baixa institucionalização da participação dos interesses organizados. O artigo detalha as questões centrais das análises de redes sociais e espaços sociais, apresenta o framework de análise proposto e discute suas possíveis aplicações em estudos de política externa, concluindo com considerações sobre suas contribuições para a análise de política externa (APE) e análise de políticas públicas (APP).
A Study to Assess the Effectiveness of Video-Assisted Teaching Programme on Knowledge Regarding Biodegradable and Non-Biodegradable Waste among School Children in Selected School, Namakkal District
Authors: D Priyanka. , Padmavathi P , Revathi R.
Published: August 2024

Background: Worldwide burden of waste increases day-through- day results in environmental issues including pollutants, climatic exchange and so forth. Video-assisted coaching programme concerning biodegradable and non- biodegradable waste improves the knowledge amongst faculty youngsters.  Objectives: To assess the effectiveness of video assisted teaching software on expertise regarding biodegradable and non- biodegradable waste among faculty children. design: Pre- experimental one organization pretest posttest design.Setting: selected school, Namakkal. 50 college kids, pleasing the inclusion standards had been selected via handy sampling method.  Selection Criteria: Decided on school, Namakkal. 50 college children, pleasing the inclusion standards have been decided on thru on hand sampling approach  Methods: The take a look at turned into carried out with 50 school children. based questionnaire turned into used because the evaluation tool.  Results: The look at findings concluded that the video- assisted teaching become powerful on improving know- how regarding biodegradable and non-biodegradable waste among college youngsters with paired t-check rating fifty four.25 which turned into statistically giant to p<0.001. No massive association between the school children’s knowledge and their demographic variables.  Conclusion: The locating of the have a look at concluded that the video-assisted teaching was very powerful in enhancing the level of know-how of school children regarding biodegradable and non-biodegradable waste. there was an awesome development in knowledge rating between pre-take a look at and post-test 57.6% (forty three.6% - seventy one.6%) among college kids χ2=20.seventy four with statistical significance at p=zero.00011. therefore, video-assisted teaching has proved as a method to improve the knowledge of college kids regarding biodegradable and non-biodegradable wast.
Intelligent Solar System for Effective Renewable Energy
Authors: Alasami Marwan , Qarni Ibrahim
Published: August 2024

Photovoltaic (PV) systems are gaining popularity as a sustainable and renewable energy solution. Charge controllers play a crucial role in maximizing the energy harvested from PV panels and ensuring efficient battery charging. This study presents a comprehensive comparison between Pulse Width Modulation (PWM) and Maximum Power Point Tracking (MPPT) charge controllers, analyzing their performance, efficiency, and suitability for different PV system configurations. The analysis begins with an overview of PWM charge controllers, which regulate the charging process by rapidly switching the PV panel voltage on and off. PWM controllers are known for their simplicity, affordability, and reliability. However, their fixed voltage operation limits their ability to extract maximum power from the PV panels, especially in scenarios with varying solar irradiance and temperature conditions. In contrast, MPPT charge controllers employ advanced algorithms to continuously track the maximum power point (MPP) of the PV panels. By dynamically adjusting the operating voltage and current, MPPT controllers can optimize the power transfer from the PV panels to the battery bank. This capability results in higher energy harvesting, especially in situations with partial shading or non-ideal operating conditions.
Smart Car Security System using Face Recognition
Authors: D.Neje Shubhankar , G. Patil Pradnya , D. Gele Dhanashri , Ubale Manasi , Chougule S.R.
Published: August 2024

The use of Face Recognition technology in Smart Car Security systems has been the subject of active research in recent years. This paper presents a comprehensive review of major Smart Car Security systems that employ Face Recognition. We first provide an overview of the Smart Car Security System Using Face Recognition and its applications. Then, we reviewthe latest techniques used in Smart Car Security Systems that utilize Face Recognition technology. In addition, we summarize a large-scale evaluation of automatic face recognition technology in Smart Car Security Systems and its findings. Overall, this paper aims to provide an up-to-date review of major Smart Car Security systems that use Face Recognition technology and their effectiveness.
Counting Individuals in an Image using Machine Learning Technique
Authors: D P Harsha , Kumar Hemanth
Published: August 2024

In video surveillance system, the most complex thing is to detect individuals. In recent years, the research is done using deep learning technique, which gives powerful individuals detection results. A model in Deep Learning i.e. YOLO (You Only Look Once) has explored in individual detection in all the angles of a individuals. The model is tested and trained on viewing person dataset. Further, counting individuals has done through information of classified bounding box. The trained model is going to verify by giving several testable data set and takes two datasets for training and testing. Trained model is tested rigorously to find out the accuracy of a model. This methodology gives efficient results for counting individual in real world.
Research on the Impact of Geopolitical Instability on Russian Trade
Authors: Talamanov Pavel
Published: August 2024

This study examines how global and country- specific geopolitical instability affects Russian trade using data from 1996 to 2021. A panel regression model analyzes trade between Russia and its 15 top trading partners, exploring both direct and indirect effects. The analysis focuses on how accumulated foreign direct investment (FDI) and exchange rate fluctuations mediate these relationships. The findings reveal that global geopolitical instability decrease Russian trade by 0.0558. Interestingly, this negative impact is partially mediated by a decrease in FDI (-0.0805). This aligns with the Structural Equation Modeling (SEM) results, which show a significant negative effect of global geopolitical instability on FDI (-1.209). This suggests that FDI acts as a key transmitter of the negative effects of global instability on Russian trade. The role of exchange rate fluctuations, however, is more complex. While the Sobel Test indicated a negative indirect effect, the SEM analysis shows a positive indirect effect through exchange rate fluctuations on trade. This suggests potentially countervailing effects of currency fluctuations, with depreciation potentially incentivizing exports while appreciation might make imports cheaper. The impact of country-specific geopolitical instability varies depending on the context. Industries like food products and textiles are significantly affected by geopolitical instability increase, while sectors such as fuels, metals and raw materials show resilience. Close trading partners are less affected by global instability but suffer from partner- specific instability. Geographically, Western Europe benefits from global instability but faces challenges from partner-specific instability, contrasting with Eastern Europe and Asia. Overall, this research contributes to the understanding of how geopolitical instability, mediated by FDI and exchange rates, shapes Russia's trade performance.
Development of Aluminum Alloys 6061(AA6061) Silicon Carbide (SiC)-Graphite (GR) and Hybrid Composite for Automotive Applications
Authors: Zubairu P. T. , Abdullahi M. , A. Agboola Tobi . , O. David Ajiboye .
Published: August 2024

The microstructure and mechanical properties of composite materials made of Silicon carbide (SiC) and Graphite (GR) reinforcement, known as Aluminum Alloy 6061(AA6061) Matrix were developed. Using the stir casting method, the hybrid composites were prepared with 6 weight percent of the reinforcements in the ratio of 0:1,1:3,1:1,3:1,and 1:0. It was determined how the reinforcement particles affected the microstructures and mechanical characteristics of these materials. The microstructure displays a uniformly distributed fine particles of α-Al grains and Mg2Si phase with in the matrix alloy. The microstructure amply demonstrates the presence of the reinforcing particles (SiC and GR) and dendritic development was noted. There are very few indications of particles clusters, and the particles are very dispersed throughout the matrix. Sample A2 (AA6061 25% SiC/ 75% GR) had the highest recorded hardness value of 123.34 HRB4.8,9.33, while the base alloy had the lowest value of 70.36 HRB when compared to the base alloy, the developed hybrid composites showed improved tensile strength. In contrast to the base alloy, which displayed a strength of 115.67N/mm2, Sample A3 demonstrated a maximum strength of 143.88 N/mm2 as compared to the base alloy which showed strength of 115.67 N/mm2. The hard reinforcement particles sharp edges serve as a nucleation site, which is why the strength of samples A4 and A5 decreased when SiC reinforcement is added, the materials extension decreases when the developed hybrid composite materials with samples were compared with the base alloy. In comparison to the created hybrid composite materials, the base alloy displayed a maximum extension of 2.4mm, with sample A5 showing the lowest extension value of 1.23mm. Sample A2 displayed the highest structures rate of 0.060, while sample A5 displayed the lowest strain rate of 0.031. The impact strength values increases from 2.76 (Base alloy) to 4.77j (Sample A5) with the addition of the reinforcement particles. The obtained mechanical properties indicate that the reinforced alloy performed favorably well but not significantly better than the ones in the literature.
Revolutionising the Indian Government School System with the Help of AI and other New Age Technological Developments
Authors: Gowda S N Hithan , . Shrishti
Published: August 2024

Education is essential for individuals to participate in a democratic society, enjoy their rights and fulfil their responsibilities. -John Dewey For a man to be able to negotiate a community life in fulfilling ways and develop a sense of autonomy is the elementary purpose of education. Hence a strong public education system is a requisite for the needs of all, even for the poor and marginalised sections of the society. The norm followed in India is to run behind private education institutes and run away from government schools because of the inadequate infrastructure and demotivated staff. Hence to break these shackles of stereotype mindset, implementing AI at government schools to maximise the quality of education and reach every part of the number one populous country stands important. Not just reaching a large number but also to alter the age-old pattern of learning, with the aid of new technologies and AI the learning process could be given a new direction where the needs of each learner will be met based upon their grasping and understanding of the subject. AI will also play a crucial role in beating the shortage of staff. Private organisations have adopted VR and AR to create immersive and engaging learning experiences, while other new-age technologies such as cloud computing, learning analytics, and blockchain are also used to achieve monopoly in the private education industry. The Indian government should invest in developing and implementing AI-powered learning platforms and other new-age technologies in government schools to serve every Indian who can not afford private institutions. The government should also provide training to teachers on how to use these technologies effectively with certification. By doing so, the Indian government can help to ensure that all students have access to a high-quality modern education. For a country as massive as India in terms of population and democracy both, implementing it is not an easy task, but if changes are made in the legislation to revolutionise the Government school system in India , days are not far where AI will take the whole education system on to an affirmative path. This whole research paper is an analysed perspective of the same topic.
Diabetes and Depression: Cross-Sectional Study Among Patients in a Tertiary Healthcare Facility in Accra, Ghana
Authors: Godman Earl , Rabin Otoo Yitzhak
Published: August 2024

Introduction Diabetes is a significant contemporary global health crisis, impacting around 10.5% of the global population and anticipated to rise to 12.2% by 2045. The coexistence of comorbidities is common with diabetes, notably depression, which is on the rise at a faster rate compared to other mental and noncommunicable disorders. The presence of psychological distress can hinder effective treatment, potentially leading to a deterioration in both physical and mental well-being and the exacerbation of psychiatric conditions.  Aim This study aimed to investigate the prevalence of depression among diabetic patients visiting the Korle Bu Teaching Hospital and to determine the knowledge and coping strategies of depression by diabetics.  Method The study was conducted at the Diabetic Clinic of the Korle Bu Teaching Hospital. Convenient Sampling Technique was used. Selection criteria included patients who had been diagnosed with diabetes for at least one year, 18 years and over, patients without other major co morbidities. Questionnaire administered for demographic information, depression severity and coping strategies.  Results The prevalence of depression among diabetic patients was found to be 21%, similar to other studies but lower than rates recorded in other studies. Over 50% of participants had adequate Knowledge of depression in diabetes. Ninety-six percent of participants were found to utilize approach methods to coping. This was attributed to higher levels of education and their possession of adequate knowledge concerning diabetes mellitus.  Conclusion The study findings shows that cultural and environmental factors contribute to variations in depression prevalence and coping mechanisms. Thus, healthcare providers must personalize depression interventions and coping strategies to match each patient's needs. Comprehensive education by clinic staff is also strongly recommended.
Student Performance Analysis: A Systematic Research
Authors: Raj I John , Priya S Suja , Sree P. Veena
Published: August 2024

In the rapidly evolving landscape of education, understanding and improving student performance is of paramount importance. This research paper explores the application of Machine Learning (ML) technologies within the realm of Big Data Analytics to comprehensively analyze and enhance student performance. Leveraging the vast amount of data generated within educational institutions, this study demonstrates how ML algorithms and techniques can be harnessed to gain insights into student learning patterns, predict academic outcomes, and develop data-driven strategies for educational improvement. The paper begins by highlighting the significance of student performance analysis in modern education and the challenges faced by institutions in managing and interpreting the growing volume of educational data. It then presents a comprehensive review of the state-of-the- art ML algorithms and data processing techniques relevant to student performance analysis. Furthermore, the research outlines a novel framework for student performance analysis, integrating various ML models such as regression, classification, and clustering, alongside advanced data preprocessing techniques. The proposed framework is designed to handle diverse educational datasets, including academic records, attendance records, socio-demographic information, and learning resources utilization[1] . Through a series of experiments and case studies, this paper demonstrates the practical application of ML in predicting student performance accurately, identifying at-risk students, and personalizing educational interventions. It also delves into the ethical considerations and data privacy concerns associated with the use of student data in ML-based educational analytics. The results and insights from this research offer valuable implications for educational institutions, policymakers, and researchers alike. By harnessing the power of Big Data and ML technologies, institutions can make data-driven decisions to enhance teaching methodologies, improve student support systems, and ultimately elevate student success rates. Additionally, this study contributes to the ongoing discourse on the responsible use of data in education, emphasizing the importance of transparency, fairness, and ethical considerations. In conclusion, this research paper presents a robust framework that showcases the potential of Machine Learning technologies within the realm of Big Data Analytics for student performance analysis. It offers a roadmap for educational institutions to harness the power of data to foster better learning outcomes and contributes to the ongoing dialogue on responsible data usage in education.
Laparoscopic sleeve gastrectomy in a 2-year-old child with morbid obesity: A case report with a 2-year follow-up
Authors: Bindal Vivek , Gupta Shailesh , Pandey Dhananjay , Goel Tushar
Published: August 2024

Morbid obesity in infancy or early childhood is a challenging disease to manage. Here, we present the case report of the successful management of a 2-year-old girl child with morbidly obesity who was bedridden and had sleep apnoea and underwent laparoscopic sleeve gastrectomy. Bariatric surgery in this age group comes with a lot of decision-making challenges and technical and ethical considerations, and literature is scant on paediatric bariatric surgery. We describe the case and associated challenges in detail in this report.
Umbilical pilonidal sinus with the urachal tract: A case managed with umbilicus-preserving laparoscopic urachal cyst and tract excision
Authors: Khemchand Agrawal Kavita , Kundal Ajay , Saxena Puja , Gill Ravneet Kaur
Published: August 2024

The umbilical pilonidal sinus (UPS) is a rare clinical entity and is not easily diagnosed unless there is a high suspicion. Pilonidal sinuses are most frequently seen around the gluteal cleft, but occasionally can be observed on other areas of the body, including the breast, webs of fingers, axilla and umbilicus. UPS is one of the rarest subtypes. Risk factors for UPS are similar to those for gluteal cleft pilonidal cysts and include young age, male gender, obesity, hairy body and poor personal hygiene. The traditional approach of treatment is usually conservative or surgical excision of the sinus with or without umbilectomy through the open technique. We discuss a case of UPS in an adult male having a concurrent urachal cyst with the urachal tract. We report our experience in laparoscopic management of this case after the failure of a conservative approach, with favourable outcomes at 1-year follow-up.
Laparoscopy-guided transverse abdominis plane block versus port site infiltration for post-operative pain relief after laparoscopic cholecystectomy
Authors: Kar Sambit , Agrawal Himanshu , Yelamanchi Raghav , Jain Atul , Kumar Aditya , Agarwal Nitin , Gupta Nikhil
Published: August 2024

Introduction:

Post-operative analgesia is an important component of patient satisfaction and early discharge from the hospital. A variety of modalities have been tested and are still evolving. The present study is one such evaluation of a novel technique of laparoscopy-guided transverse abdominis plane (LTAP) block for post-operative analgesia in laparoscopic cholecystectomy.

Patients and Methods:

A prospective randomised control trial was conducted to verify the effectiveness of LTAP block over port site local anaesthesia infiltration (PSLAI) for post-operative analgesia in patients undergoing laparoscopic cholecystectomy. This study was done over a period of 18 months in a tertiary hospital. A total of 84 patients were recruited and were divided equally into two groups (LTAP and PSLAI).

Results:

There was no statistical difference between the two groups with respect to gender distribution, comorbidities, number of gallstones, duration of symptoms and surgery time. The rescue dose of diclofenac requirement was less for the LTAP group in comparison to the PSLAI group. No difference was observed in the pain score at 1st h. However, LTAP proved efficient later in the post-operative course (6 h, 24 h and at discharge). There was significant a difference in the pain scores between the two groups, favouring the LTAP group. Hospital stay in the LTAP group was less in comparison to the PSLAI group.

Conclusion:

LTAP block is an effective method of post-operative analgesia. It impacts analgesia to the whole anterior abdominal wall for a prolonged period when compared to the PSLAI without adding any extra procedural time.
Initial experience of SSI Mantra robot-assisted Transabdominal pre-peritoneal repair of primary ventral hernias
Authors: Mehrotra Magan , Kumar Chukka Gautam
Published: August 2024

Introduction:

Small and medium sized primary midline ventral hernias are best treated by pre-peritoneal mesh placement. This helps in prevention of complications related to intra-peritoneal mesh placement. The challenges we face while performing laparoscopic transabdominal pre-peritoneal (TAPP) procedure can be overcome by robot-assisted TAPP (rTAPP), and we present our initial experience with the same. We describe the surgical technique used in rTAPP using the relatively new SSI Mantra platform for primary midline ventral hernia repair and evaluate its feasibility and present the outcomes.

Patients and Methods:

we performed rTAPP for primary midline ventral hernia repair in 10 patients from July 2023 to September 2023. Demographic patient data, hernia characteristics and peri-operative outcomes were measured.

Results:

A total of 10 patients underwent elective rTAPP for primary midline ventral hernia, of which 7 were male and 3 were female. The average defect size was 3.2 cm. The average operative time was 113 min. All the patients were discharged within 24–36 h after the procedure. There were no deaths. No post-operative complications such as haematoma, clinically significant seroma, deep or superficial wound infection or recurrence were noted within 30 days.

Conclusion:

rTAPP is a technically feasible procedure for the repair of small- and medium-sized midline ventral hernias with defect sizes up to 5 cm. SSI Mantra robotic platform provides the same benefit that other conventional robotic platforms provide at a much lesser cost. Further studies looking at the cost–benefit ratio are required to substantiate the above.
Low-pressure pneumoperitoneum with intraoperative dexmedetomidine infusion in laparoscopic cholecystectomy for enhanced recovery after surgery: A prospective randomised controlled clinical trial
Authors: Gaiwal Sucheta , Palep J H , Mirkute Rohini , Prasad Nimitha , Kush Mehta
Published: August 2024

Background:

Enhanced Recovery After Surgery (ERAS) programs represent a shift in perioperative care, combining evidence-based interventions to reduce surgical stress to expedite recovery. ERAS requires cohesive team efforts to facilitate early discharge and reduce hospital stays. Anaesthesia and pneumoperitoneum management within ERAS play crucial roles in influencing postoperative outcomes. Laparoscopic cholecystectomy is widely acknowledged as the foremost approach for managing symptomatic gallstone disease due to its minimally invasive nature and favourable recovery. It has been demonstrated that increased abdominal pressures with prolonged CO2 exposure produce changes in cardio-vascular and pulmonary dynamics, which can be minimized by insufflating at minimum pressure required for adequate exposure, as advocated by European endoscopic guidelines. Dexmedetomidine, a highly selective alpha-2 adrenoreceptor agonist, has gained attention in anaesthesia armamentarium due to its sedative, analgesic, sympatholytic, and opioid-sparing properties. For multimodal opioid sparing postoperative pain management it’s advantageous.

Aim:

To evaluate combined effect of low-pressure pneumoperitoneum and intra-operative dexmedetomidine infusion in laparoscopic cholecystectomy for ERAS.

Patients and Methods:

160 patients of American Society of Anaesthesiologists (ASA) score 1 and 2, undergoing elective laparoscopic cholecystectomy were randomized into low pressure pneumoperitoneum (10-12 mmHg) and standard pressure pneumoperitoneum (13-15 mmHg) groups. Each group is subdivided into, no Dexmedetomidine (ND) and with Dexmedetomidine (WD) infusion (0.7 mcg/kg/hr) intra-operatively. Thus, 40 patients in each of the 4 study arms. Perioperative variables were collected and analysed.

Results and Conclusions:

Low pressure pneumoperitoneum with intra-operative Dexmedetomidine infusion (0.7 mcg/kg/hr) resulted in stable hemodynamics, reduced post-operative pain, no requirement of additional analgesics and early discharge. Thus, synergistic impact of these interventions significantly improved postoperative outcomes when used as part of ERAS protocols.
Giant left spontaneous diaphragmatic hernia repair via combined laparoscopic and thoracoscopic approaches
Authors: El Maksoud Walid M. Abd
Published: August 2024

Spontaneous diaphragmatic hernias (DHs) are uncommon, yet potentially hazardous. To prevent consequences, timely diagnosis and treatment are necessary. A 54-year-old male presented to the emergency room with dyspnoea, cough and tachycardia; he had no history of trauma. Diagnostic imaging revealed a substantial left DH, indicating the need for surgical intervention. The intraoperative examination identified a transverse colon and omentum herniation. Dissection, reduction of the contents, primary sutures of the defect and dual mesh reinforcement accomplished the laparoscopic and thoracoscopic DH repair. This case underscores the importance of timely detection, precise surgical intervention and comprehensive post-operative monitoring when utilising a multidisciplinary approach to manage DHs. It serves as a reminder to exercise caution regarding DHs, particularly in circumstances devoid of traumatic aetiology and the benefits of combined laparoscopic and thoracoscopic approaches.
Portofolio Management with Markowitz Model to Determine Optimal Investment Values
Authors: Purba Daniel Victorio Rudolfo , Fasya Emir Shiddiq
Published: August 2024

Investment is a commitment to a number of funds or other resources made at this time with the aim of obtaining a number of benefits in the future. Investments can be channeled through several instruments, such as deposits, gold, property, stocks, and many more. With the various types of investments that exist today, the difficulty of finding an investment cannot be an obstacle. In investment, the appropriate allocation of funds can be an important factor in obtaining profits. By using the correct method, the risk factors that may occur can be minimized as well as possible. The method that can be used in determining funds in investment activities is using the Markowitz Model. Then, the  author  initiates  a method  for  optimizing  assets  using  the  Markowitz  method.  In  this  research,  used  data  from  10  stocks  in Indonesia PANI, CLEO, DSSA, UNIC, ADRO, CITA, CAKK, TPIA, MYOR, ANTM. Then, the stocks will be arranged optimally portfolio. The optimal investment weight obtained for stocks from January 1, 2019 to December 31, 2023 using the Markowitz model, each share weighting namely 7,6% PANI, 18,05% CLEO, 8,48% DSSA, 16,902% UNIC, 12,471% ADRO, 10,496% CITA, 7,246% CAKK, 12,946% TPIA, 5,877% MYOR, and 0,464% ANTM company stocks and provide a portfolio ratio of 5.694581 which can also be interpreted that the optimal return ratio profit is 5.694581 times greater than the possible loss or portfolio variance.
Are the N-terminal derivatives of IGF-I neuropeptides agents for the treatment of Alzheimer's disease?
Authors: Frago Laura M. , Canelles Sandra , Barrios Vicente
Published: August 2024

Glycine-proline-glutamate (GPE) and cycloprolylglycine (cPG) are naturally cleaved peptides of the insulin-like growth factor I (IGF-I) in the central nervous system. The neuroprotective actions of IGF-I have been widely studied in experimental models of Alzheimer´s disease (AD) and AD patients. However, there is less data about the molecular mechanisms involved in the protective effects of both IGF-I derived peptides in murine models of this disease. Here, we have analyzed the key issues of our study on the effects of GPE and cPG in a murine model of amyloid-β peptide infusion and revised the research progress on the effects of both compounds and new analogues of these molecules against inflammation, its relationship with the expression and synthesis of hormones implicated in memory processes and the intracellular signaling pathways related to these protective effects. Understanding the molecular mechanisms involved in the action of these molecules in experimental models of AD will help to develop strategies to fight one of the most common neurological diseases.
Accelerating metal nanocluster synthesis: A high-throughput approach with machine learning assistance
Authors: Tang Li , Wang Shuxin
Published: August 2024

Understanding the total structure of noble metal nanoclusters has been a major dream of colloid chemists, however, relatively low synthesis efficiency is still the main issue of cluster research. In a recent publication in Chemistry - A European Journal, Shuxin Wang and co-workers reported the development of a machine learning (ML) guided automated high-throughput synthesis platform, which has been crucial for accelerating the synthesis of clusters. The authors ingeniously implemented a cyclical feedback mechanism involving high-throughput synthesis and machine learning. A series of nanoclusters with atomically accurate structures were successfully synthesized, namely, [Au41Cu66(SC6H11)44](SbF6)3, Au40Cu34(4-S-PhF)40, Au40Cu34(4-S-PhF)40, Au18Cu32(3,5-C8H9S)36, [Au6Cu6(SPh)12]n, Cu-NC respectively, are abbreviated as Au41Cu66, Au40Cu34, Au18Cu32, Au18, Au6Cu6, Cu-NC. This approach not only significantly optimized the synthesis pathway, but also offered profound insights into the influence of various reaction variables, thereby illuminating fresh perspectives for advancing research in the realm of metal nanoclusters.
Network Patterns of Village Head Political Dynasty in Maggenrang Village
Authors: Ikhsan Andi Ahmar Ihwal , Hawing Hardianto , Hamrun Hamrun , Alim Irwan
Published: August 2024

The political dynasty network pattern is a series of political strategies aimed at obtaining power by passing on positions to individuals who have family ties to previous power holders. Based on this, this study aims to determine the pattern of dynastic political network formation and its impact on community political behavior in Maggenrang Village, Kahu Subdistrict, Bone Regency. This research uses a qualitative method to describe and explain the patterns of the formation of political dynasty networks and their impact on political behavior. Data collection techniques include observation, interviews, and documentation. The results showed that the dynastic political network pattern in Maggenrang Village includes several aspects. First, stable economic capital and family relations with the previous village head make the current village head part of dynastic politics. Second, cultural capital, which includes the character and competence of the village head, is very important because it has an impact on the decision-making process and actions. Third, good social capital can be seen in the active role of the village head in community activities. Finally, symbolic capital is less strong but still able to prosper its people. The impact of political dynasties in Maggenrang Village is the limitation of opportunities for other individuals who are more worthy to hold the position of village head.
Addressing Waste Growth Challenges through Collaborative Urban Governance and Local Democratic Engagement in Batam City's
Authors: Sari Cindy Fatika , Lodan Karol Teovani
Published: August 2024

This abstract explores the challenges and opportunities in solid waste management through waste banks in Batam City, emphasizing the necessity for collaborative efforts among government, industry, and society. The discussion highlights current initiatives and the obstacles encountered in implementing effective waste management practices, particularly focusing on the fragmented nature of existing collaborations and the persistent community behaviors that hinder progress. Key challenges include low environmental awareness, limited community participation in waste sorting, inadequate infrastructure, and inconsistent enforcement of regulations. These issues underscore the need for intensified education, awareness building, and incentivization to foster greater community engagement. The abstract proposes solutions through enhanced collaboration and joint commitment among stakeholders. It advocates for strengthened regulatory frameworks, improved coordination among government agencies, and greater corporate responsibility in prioritizing sustainability. These measures aim to establish a comprehensive waste management system that not only enhances environmental quality but also supports sustainable economic development in Batam City. Ultimately, by addressing these challenges and leveraging collaborative governance, Batam City can achieve a cleaner, healthier environment and sustainable growth for its residents.
Symbolic Domination : Study of the Interaction of Noble Power in the Election of Village Heads
Authors: Jannah Andi Ifadtul , Mustari Nuryanti , Taufik Ahmad
Published: August 2024

This study discusses Symbolic Domination (a study of the interaction of aristocratic power in village head elections in Bonto Tappalang Village, Bantaeng Regency). The aim to be achieved in this study is to find out how symbolic domination is in the interaction of aristocratic power in village head elections in Bonto Tappalang Village, Bantaeng Regency and how are the supporting and inhibiting factors of symbolic domination in the interaction of noble power in village heads. Election in Bonto Tappalang Village, Bantaeng Regency. The research method used in this study is a qualitative method. Sources of data used in this study were primary data and secondary data, the number of informants in this study were 7 people. Data collection techniques in this study were interviews and documentation. The research method used in this study is a qualitative method. Sources of data used in this study were primary data and secondary data, the number of informants in this study were 8 people. Data collection techniques in this study were interviews and documentation. The results of the discussion in this study which dominated the nomination of village heads can be achieved using 3 theories, namely Habitus, Modality, and Field or Arena. The Habitus results show that the activities carried out by the village head candidate are to behave well towards the community and must follow the traits of the noble predecessors in order to gain support from the community leadership. Furthermore, the modality results show that in order to win the contestation in the village head election, capital is needed for the elected village head candidates, namely economic capital, social capital and symbolic capital, the more capital combined, the greater the opportunity for profit . Public trusts. Then the results from the field or arena show that the elected village head candidate must have the space or place to rule in the election.
Health Status and Periodontal Care Needs of Pregnant Women in the Puger Coastal Area of Jember
Authors: Azhria Intan Nurun , Arina Yuliana Mahdiyah Daat , Wahyukundari Melok Aris , Kiswaluyo
Published: August 2024

Introduction: Pregnancy is a risk factor for periodontal disease due to an increase in hormones which causes a change in response of periodontal tissue to the accumulation of plaque and calculus that can increase the occurrence of inflammation of the gingiva and periodontal disease. Pregnant women in coastal areas have a high risk of periodontal disease because the majority consume seafood that contains high calcium and phosphorus, which allows for increased calculus formation. Periodontal disease during pregnancy has an adverse impact on the health of the fetus. Therefore, it is important to pay attention to the health of the periodontal tissues of pregnant women. This study aims to examine the description of health and periodontal treatment needs in pregnant women in the coastal area of Puger, Jember.
Material and Methods: This type of research is descriptive observational with a cross sectional study on 70 subjects selected by purposive sampling technique. Data were obtained based on the results of the Community Periodontal Index of Treatment Needs (CPITN) examinations and questionnaire interviews regarding oral health.
Results and Discussions: Health status of periodontal tissues of pregnant women in the coastal area of Puger Beach mostly (75,71%) had supra or subgingival calculus (CPITN score 2), there were periodontal pockets and there were no pregnant women with healthy periodontal tissue conditions. Types of periodontal treatment needs that are needed by all pregnant women are scaling and root planing and improving oral hygiene (Treatment Needs/TN 2). 
Conclusion: Pregnant women in the coastal area of Puger Beach all experience periodontal disease so they need periodontal treatment.
The Influence of Virtual Education on the Knowledge Level of Adolescents Regarding the Dangers of Dental Technician
Authors: Aldilawati Sari , Abdi Muhammad Jayadi , Putri Anggita Maulidya
Published: August 2024

Introduction: Education is the process of learning from unknown to know or to understand it. Dental and oral health education aims to help increase public awareness by providing knowledge. A dentist is anyone who has the skills to make and install removable dentures. The work that a dentist should do cannot be compared to that of a dental technician.
Material and Method: Quasi-experimental research design with a one group pretest-posttest design by testing the same questionnaire twice, namely before and after education.
Results and Discussions: Based on the results of the paired sample t-test, a p-value of 0.00 was obtained, which is lower than the predetermined significance level value of 0.05, so that Ha is accepted, which means that there is any influence of virtual education on the level of knowledge in teenagers about the dangers of dentist victim.
Conclusion: There is an influence of virtual education about the dangers of dentist victims on the level of knowledge of teenagers at Garudaya Bontonompo Vocational School.
Reward as an Innovative Strategy Increasing Efforts to Brush Teeth Properly From Children to Families
Authors: Idaryati Ni Putu , Rahina Yudha , Agung I Gusti Ayu Ari , Pratama I Wayan Agus Wirya
Published: August 2024

Introduction: Dental and oral health of children in Indonesia remains concerning. In children aged 12 years, the prevalence of cavities reaches 76%. Motivation is closely related to efforts to maintain dental and oral health. There are various things that may be done to increase motivation including providing rewards. A reward is the recognition given to someone for something they have accomplished. Stimulating students' intrinsic motivation can be achieved by offering rewards. The purpose of this research is to examine of rewards as an innovative strategy for increasing efforts to brush teeth properly from children to families.
Methods: This study is observational design with a one-group pretest-posttest using questionnaire and video instruments. The questionnaire contains questions related to brushing teeth properly. The research respondents consist of 106 school children from SD Saraswati 3 Denpasar. School children were also assigned to create videos of brushing their teeth together with their families. Rewards were given to three schoolchildren who demonstrated proper tooth brushing with their families. Data analysis used wilcoxon signed rank test to see the difference between pretest-posttest results after reward.
Results and Discussions: Based on the research findings, there are significant changes in children's behavior in brushing their teeth properly. Children's behavior showed significant differences before and after the reward (p<0.05). Providing rewards during oral health education sessions children's interest increases. This is a positive method that has a beneficial impact on maintaining oral health, especially within the family.
Conclusion: Appropriate rewards can enhance school children motivation to brush their teeth correctly. Children can play an important role in maintaining and raising awareness of the importance of brushing their teeth properly and correctly which can improve dental and oral health among their families
Ulcer Traumaticus et Causa Trauma Occlusion
Authors: Dewi Amalia Eka Setya , Sidiqa Atia Nurul
Published: August 2024

Introduction: A Traumatic Ulcer is a type of ulcer that is caused by local factors. Traumatic ulcers usually occur on the soft tissues in the oral cavity and can be caused by many factors, one of which is occlusion trauma.
Case:  The clinical picture of an ulcer is that of an ulcer on the oral mucosa in an acute inflammatory state, including varying degrees of pain, redness, and swelling in various sizes and shapes. The initial lesion in traumatic ulcers is usually felt by people in the form of annoying pain.
Case Management: Medication therapy such as Aloclair gel containing olyvinylpyrrolidone (PVP) which has mucoprotective activity works by forming a layer over the ulcer that will protect the affected nerve endings so as to prevent irritation and reduce pain in the ulcer. Hyaluronic acid and Aloevera support the natural healing process of damaged tissue.
Discussion: A traumatic ulcer lesion can heal on its own within 10 to 14 days if the irritant or cause is removed because during this time there will be a process of keratinization and renewal of oral mucosal epithelial cells.
Conclusion:Traumatic ulcers can heal within a few weeks by addressing the causative factors, administering medication, and encouraging patients to maintain good nutrition and oral health.
Nonnutritive Sucking Treatment With Removable Orthodontic Appliances
Authors: Herawati Hillda
Published: August 2024

Introduction: Oral habits are habits related to muscle contractions. Oral habit, one of which is nonnutritive sucking (finger sucking), is the first step for children to regulate emotional abilities, relax and focus effects, provide comfort and a sense of security for children for example when feeling tired, bored, afraid and sad. Almost 100% of normal infants will experience the nonnutritive sucking phase until the age of 2-3 years and 20% until the age of 3 years. If the habit continues beyond the age of 3.5 years, it will lead to bad oral habits, which is a repetitive behavior that can cause abnormalities in the teeth and supporting tissues. This bad oral habit can cause changes in the orofacial system, and its manifestations are influenced by factors such as duration, frequency and intensity.
Case: A 5-year-old girl came to RSGM escorted by her mother with complaints of having a habit of sucking the middle finger and ring finger on the left and the front teeth bite looks open, and premature loss of tooth 74.
Case Management: the patient was given a removable orthodontic device using palatal cribs mounted on the upper jaw and mandibular space maintainer due to tooth 74 loss.
Discussions: after observation which was carried out once a week for 10 times within ± 3 months, there were clinical changes, namely overjet 3 mm to 2 mm, open bite 2 mm to 0.5 mm, the lump on the left middle finger thinned and the patient no longer sucked the finger
Conclusion: : the success of the treatment is the result of good cooperation between the doctor and the patient and the patient's parents, as well as early treatment of bad oral habit cases. The use of palatal cribs in this case proved effective in controlling finger suck.
Prevalence of Geographic Tongue Disorders in Pregnant Women at Gianyar I Public Health Center Period June – July 2023
Authors: Dermawan I Gusti Ngurah Putra , Sari Ni Nyoman Gemini , Febriyanti Ni Putu Andini Dewi
Published: August 2024

Introduction: Geographic tongue is an annular lesion that can be found on the dorsum and the edges of the tongue. This lesion is also known as erythema migrans. The clinical appearance of Geographic tongue consists of white, yellow, or gray lesions on the slightly elevated edges. This study aimed to determine the prevalence of geographic tongue cases in pregnant women at the Community Health Center Gianyar I.
Material and Method: The type of research used in this study was a descriptive epidemiological research method. The total number of samples in this study was 125 respondents of pregnant women at the Community Health Center Gianyar I. Data analysis was carried out descriptively, namely those presented in the form of frequency and percentage distribution tables.
Results and Discussions: From the research results, the prevalence of geographic tongue in pregnant women at the Gianyar I Community Health Center period June - July 2023, there were 11 (8.8%) sufferers of geographic tongue disorder, where based on gestational age (trimester), there were 6 sufferers of geographic tongue or around ( 11.11%) in the third trimester, while in the second trimester there were 4 (9.52%) people who suffered from geographic tongue and only 1 person (3.44%) who suffered from geographic tongue in the first trimester.
Conclusion: The prevalence of geographic tongue cases is mostly found in the third trimester of pregnancy; most have no symptoms or pain.