bluuebunny/crossref_metadata_2025 huggingface dataset:
Aortic Dissection: The Insidious Menace
Authors: Gondal Muhammad Umer Riaz , Lemoine John , Baig Mohammad , Parajuli Prem , Kiyani Zainab , Khan Hamza , Saif Hassam
Published: March 2024

Aortic dissection represents a critical emergency characterized by the cleavage of aortic wall layers, creating a deceptive false lumen. Associated with high mortality rates, prompt diagnosis and intervention are needed to ensure survival.
Autoimmune hemolytic anemia: A rare presentation of mantle cell lymphoma
Authors: Garrahy Ian , Rahimian Shoja
Published: March 2024

Autoimmune hemolytic anemia (AIHA) is a well-recognized phenomenon of non-Hodgkin lymphoma, albeit with only few cases described with mantle cell lymphoma (MCL). The characteristics of such cases can improve understanding and management of AIHA in this type of lymphoma. To that end, we describe herein two cases of patients with MCL who presented with AIHA, with comparison to nine previously described cases in literature.
New Onset Dyspnea in a Patient with Pacemaker, What Does the ECG Tracing Show?
Authors: Nypaver Jakob , Libera Robert , Kundra Arun , Choxi Ravi
Published: March 2024

Dual chamber pacemakers are programmed to allow for AV synchrony. Whenever a patient with a dual chamber pacemaker with underlying sinus rhythm presents with AV dissociation, the lack of AV synchrony should be questioned. The authors present a case of new onset dyspnea diagnosed as pacemaker syndrome. The diagnosis was initially delayed due to underlying ventricular paced rhythm as misidentified as normal pacemaker behavior. A 69-year-old female with a past medical history of 2:1 atrioventricular block status post dual-chamber pacemaker implant presented with complaints of new onset shortness of breath and dyspnea. The ECG showed a ventricular rate of 66 beats per minute. Pacing spikes were prior to each QRS complex indicating ventricular-paced rhythm with left bundle branch morphology. There were p waves from sinus origin which were completely dissociated from the ventricular paced rhythm. Overall, there was ventricular paced rhythm with underlying AV dissociation. This was initially suspected to be normal pacemaker behavior as there was appropriate ventricular pacing and ventricular capture. Review of the tracing noted AV dissociation, which would be unusual in a patient with underlying sinus rhythm and dual chamber device. Device interrogation noted that device was at end of life and atrial lead was powered down to allow for ventricular pacing. It is important to always question the lack of AV synchrony if patients have dual chamber pacemaker as lack of AV synchrony can cause pacemaker syndrome.
Surgical Management of Foramen Magnum Meningiomas: Clinical Insights and Outcomes
Authors: nerhan G , IL Emin , lar Zeynep , n Kaan , it Mert , l Hakan , BELEN Ahmet
Published: March 2024

Objective: This retrospective study aimed to provide a comprehensive analysis of the surgical management of foramen magnum meningiomas (FMMs), focusing on patient characteristics, surgical approaches, complications, and postoperative outcomes.
Materials and Methods: The study included 23 patients diagnosed with anterior or anterolateral FMMs who underwent surgical treatment between 2014 and 2022. The study encompassed clinical records, neurological assessments, radiological findings, and surgical approaches, with a focus on the far lateral approach (FLA). Evaluation of outcomes included Karnofsky Performance Scale (KPS) scores and The Neck Disability Index (NDI) scores. Surgical approaches and postoperative care strategies were detailed. The study also examined the relationship between tumor location and surgical techniques.
Results: The analysis revealed that patients with FMMs presented with various clinical symptoms, including lower cranial nerve deficits, pyramidal tract syndrome, and sensory disturbances. The retrocondylar far lateral approach was predominantly utilized, resulting in various Simpson resection grades. Postoperative complications were observed, including cranial nerve deficits, cerebrospinal fluid leakage, and infections. Also, the study found patient KPS scores remained stable, and NDI scores showed no significant increases before and after surgery.
Conclusion: Surgical management of FMMs is a complex task requiring meticulous planning, individualized approaches, and close attention to neurovascular structures. The study emphasized the diverse clinical presentations and surgical techniques associated with FMMs and highlighted the importance of ongoing research and collaborative efforts to enhance patient care in this challenging field.
The Inhibitory Effects of Taxifolin, namely Dihydroquercetin as a Pharmaceutical Agent on the Growth of Bacterial and Fungal Species
Authors: Unver Tuba
Published: March 2024

Aim: Taxifolin (dihydroquercetin) is a natural bioactive flavonoid with antifungal, antiviral, antibacterial, antioxidant, and anti-inflammatory properties, and is a valuable compound in the medical, pharmaceutical, and food industries. This study aims to determine the Minimum Inhibitory Concentration (MIC) of pure taxifolin (99.25%) against pathogenic and opportunistic microorganisms for the first time in the literature.
Materials and Methods: The antibacterial and antifungal activities of taxifolin against two Gram-positive (E. aerogenes, S. aureus), three Gram-negative (P. aeruginosa, K. pneumonia and E. coli), and four yeast strains (C. krusei, C. glabrata, C. tropicalis and C. albicans) was determined using agar and broth microdilution methods.
Results: The MIC value for tested Gram-positive bacteria is 1 mg/mL, which is 2 mg/ml for Gram-negative bacteria. At the same time, the MIC value was 8 mg/mL for all Candida species tested except C. glabrata (MIC: 4 mg/mL).
Conclusion: In conclusion, it was determined that the antibacterial property of taxifolin was more pronounced than its antifungal properties. Taxifolin is a natural compound with high medical and pharmacological value. This study proved the effectiveness of pure taxifolin as a pharmacotherapeutic agent on pathogenic and opportunistic microorganisms. The preliminary data collected in this study should be further supported, and in vivo and bioavailability studies should be detailed in future studies.
Full Title: Evaluation of general dentists' perspectives on periodontal surgery
Running Title: General dentist and periodontology
Authors: Terzioglu Busra , Ayyildiz Berceste , Cetiner Fitnat , Osmay Gorkem , Corekci Ahu
Published: March 2024

Objective: Periodontal treatments are a very important part of general dentistry. This study aimed to evaluate general dentists' perspectives on surgical and non-surgical periodontal treatments and to examine the decision criteria of these dentists to refer their patients to a periodontist.
Materials and Methods: The survey used in this study consisted of 28 questions and was delivered to general dentists online. The survey primarily asks dentists about their gender, age, information about the institution they work in, and years of professional experience. Other questions in the survey include topics related to periodontal examination, referral to a periodontist for phase 1 periodontal treatment, referral for periodontal surgical treatment, surgical treatments applied and their frequency, and periodontal surgical treatment procedures.
Results: A total of 171 general dentists (85-male, 86-female) with an average age of 34±10 answered the survey questions. The rate of participants who stated that they performed the phase 1 periodontal treatment of their patients themselves was 77.8%, while the rate of those who performed the surgical periodontal treatment themselves was 20.5%. No statistically significant relationships were obtained between the participants' gender, the institution they work in, and their responses regarding periodontal diagnosis and treatments. (p>0.05) The rates of performing a periodontal examination and obtaining a periodontal index in the first session are 70.1% and 38.0% for dentists working in private practice, while they are 44.1% and 14.7% for dentists working in a public hospital. In addition, it has been determined that all physicians who perform surgical treatments themselves work in private practice. (p<0.05)
Conclusion: It has been determined that general dentists mostly apply non-surgical treatments themselves, but often refer them to a periodontist for surgical treatments. It was revealed that the working institution was effective in the decision to refer to a periodontist, but gender or professional experience was not effective.
ESTIMATION OF GIRTH OF HUMERAL HEAD BY MEASURING THE BIEPICONDYLAR DISTANCE: A VALIDITY AND RELIABILITY STUDY
Authors: lmaz Halil , KARAPINAR Burak , BA Orhan , LU Mehmet , SAR Mehtap
Published: March 2024

Aim: The aim of this study was to estimate the girth of humeral head (GOHead) by analysing the reliability and validity of biepicondylar distance (BED).

Materials and Methods: The study was carried out on 66 dry humeruses (36 right and 30 left) at the Ondokuz Mayis, Ordu and Erciyes Universities, Faculty of Medicine, Departments of Anatomy. The BED and the GOHead were measured, and the related ratio was determined. The validity between the obtained values was analysed by Bland Altman analysis and the reliability by intraclass correlation coefficient (ICC).

Results: The BED was measured to be 57.70±5.18 mm, while the GOHead was 132.77±12.17 mm. The relative ratio between the two data was determined to be (RR:2.30). The GOHeadRR (BED x RR) value was defined to be 132.82±12.01 mm. While the results of this study showed agreement in validity according to Bland Altman analysis, an excellent reliability ratio (Cronbach Alpha's: 0.930) was determined in this study. Estimation of the GOHead using the formula (BED x 2.30) shows agreement in terms of validity and reliability.

Conclusion: This result we obtained shows that the BED can be used to estimate the GOHead without requiring any imaging method. Based on the results of this study, it is expected to play an important role in reducing the use of radiological materials in GOHead measurements and reducing the radiological footprint.
DDoS Attacks Detection Approach based on Ensemble Model using Spark
Authors: Alslman Yasmeen , Khalil Ashwaq , Younisse Remah , AlNagi Eman , Saraireh Jaafer , Ghnemat Rawan
Published: March 2024

We live in an era when time is a precious resource. Thus, dealing with the vast amount of data collected from different resources for various purposes requires creating systems that can process the data in a reasonable time to make it worthwhile. Accessing big data in machine learning and artificial intelligence models creates efficient, robust models. In this work, we present a method to create a multi-class classification model using Apache-spark. The model is built and trained with the CIC-DDOS2019 dataset to build a DDoS Attack detection model. Ensemble modeling was used to improve the accuracy and robustness of the model. At the same time, Apache-spark was used to distribute the vast amount of training and testing data over the models used to create the intrusion detection model. The proposed model has achieved high accuracy (99.94\\%) while reducing the execution time to almost the half when applied without Apache-spark.
Kafa'ah Dalam Pernikahan Dalam Perspektif Syekh H. Nuruzzahri Yahya
Authors: M. Nur Abdullah
Published: March 2024

Islam mengatur bagaimana manusia menjalani hidup berumah tangga melalui proses pernikahan yang memiliki aturan-aturan yang disebut sebagai hukum perkawinan (fiqh munakahat) dalam Islam. Dalam masyarakat, ada pandangan bahwa sebaiknya seseorang yang ingin menikahi putri atau wanita yang berasal dari keluarga bangsawan (syarifah) sebaiknya menikah dengan seorang yang juga memiliki keturunan bangsawan (syarif/sayyid) atau putra dari keluarga yang terhormat (habib). Sementara itu, bagi yang bukan dari keturunan bangsawan (sayyid), sebaiknya tidak menikahi wanita yang memiliki status syarifah. Penelitian ini menggunakan pendekatan kualitatif deskriptif dengan fokus pada pendekatan normatif. Analisis data dilakukan dengan menggunakan metode deduktif dan induktif. Hasil penelitian menunjukkan bahwa menurut pandangan Syekh H. Nuruzzahri Yahya, konsep kafa'ah atau kesesuaian adalah salah satu syarat sah dalam pernikahan, tetapi tidak bersifat mutlak. Kafa'ah dipandang sebagai hak perempuan dan wali (walinya). Kafa'ah juga menjadi syarat sah dalam pernikahan jika seorang wali mujbir (wali yang memiliki otoritas) ingin menikahkan anaknya dengan seorang laki-laki yang tidak sepadan atau setara dengannya.
Upaya Pemberdayaan Dalam Meningkatkan Ekonomi Masyarakat Melalui Pelatihan Tata Boga Di Desa Lueng Keubeu
Authors: Halimatussa'diah  , Afifah Wafiq
Published: March 2024

Penelitian ini di latar belakangi dengan kurangnya tingkat ekonomi masayarakat, kurangnya keterampilan serta bertujuan untuk mendeskripsikan proses pemberdayaan serta untuk mengetahui strategi apa saja yang akan di gunakan dalam meningkatkan ekonomi masyarakat melalui pelatihan tata boga. Penelitian ini di laksanakan di desa Lueng Keubeu.Para masyarakat perlu mengasah kembali keterampilan-keterampilan nya melalu pelatihan yang di selengarakan di desa khususnya pelatihan tata boga, dengan adanya kegiatan tersebut mampu membekali dan menjadikan mereka berdaya saingdalam bidang ekonomi.  Penelitian  ini  merupakan  penelitian  kualitatif. Strategi pemberdayaan yang dilakukan melalui tahap penyadaran melalui motivasi dan sosialisasi, permodalan, kapasitas pengelolaan dengan pelatihan, dan memberikan peluang kepada masayrakat melalui pelatihan yang dijalankan dengan tujuanmampu meningkatkan perekonomian masayarakat. Melalui salah satu pelatihan pemberdayaan yang dilaksanan yaitu pelatihan tata boga bagi masayarakat mampu mengatasi masalah pengangguran serta untuk meningkatkan kemampuan masyarakatmelalui pengembangan potensi yang dimiliki oleh mereka sendiri. Strategi ini dibangun atas dasar kebutuhan peserta pelatihan atau sering disebut dengan layanan prima.Adapun strategi yang di terapkan dalam memperdayakan meningkan kemmapuan para snatri anatara lain yaitu Pertama, strategi pelatihan peserta kewirausahaan. Kedua, strategi layanan peserta pelatihan. Ketiga, strategi pembentukan unit kegiatan usaha. Keempat strategi bantuan peralatan dan permodalan untuk kegiatan usaha.
Sentimen Analysis Pada Penggunaan System Kecerdasan Buatan di Twitter Menggunakan K-Nearest Neighbors
Authors: Subasar Andi
Published: March 2024

Studi sentiment analysis saat ini mempunyai peran pada sebuah studi dengan tugas mengklasifikasikan atau mengelompokkan polaritas dari sebuah teks dapat berupa dokumen, kalimat, atau pun opini masyarakat. Polaritas ini sendiri harus mempunyai makna dimana pada sebuat teks dokumen, kalimat atau opini yang memiliki nilai makna positif atau negative. tujuan penelitian ini adalah untuk mendapatkan tingkat polaritas positif dan negative opinin masyarakat tentang bagaimana tingkat penggunaan aplikasi Artificial Intelegent yang telah tersebar saat ini. Berdasarkan hasil analisis sentiment yang telah dilakukan menggunakan metode K-Nearest Neighbors, menggunakan dataset yang telah dikumpul-kan pada Kaggle secara public, maka dapat disimpulkan tingkat nilai polari-tas positif yaitu dengan tingkat akurasi 61%.
PENGARUH KONSUMSI DAUN KACANG PANJANG TERHADAP PENINGKATAN PRODUKSI ASI PADA POSTPARTUM
Authors: Rohanah Rohanah , Muayah Muayah
Published: March 2024

Cakupan ASI di Indonesia belum mencapai yang diharapkan (<80%) bahwa ibu berhenti memberikan ASI karena kekurangan Produksi ASI, untuk itu pemberian daun kacang panjang potensi dalam menstimulasi hormon oksitosin dan prolaktin seperti alkaloid, saponin, polifenol, steroid, flavonoid dan substansi yang paling efektif meningkatkan dan melancarkan produksi ASI. Penelitin ini bertujuan mengetahui pengaruh daun kacang panjang dalam meningkatakan produksi ASI pada ibu pospartum. Metode yang digunakan kuantitatif eksperimen pretest dan posttest with one group. Populasi pada penelitian ini adalah semua ibu postpartum yang ada di Praktik Mandiri Bidan (PMB) “A’ Kecamatan cirinten Mei-Juli 2023 dengan penentuan sampel menggunakan total sampling dengan 30 responden. Instrumen penelitian yaitu lembar kuesioner. Jenis data yang digunakan data primer. Data dianalisis secara univariat dan bivariat menggunakan uji statistik Wilcoxon. Berdasarkan hasil Uji Wilcoxon Signed Test diketahui P Value 0,000 <0,05, maka dapat disimpulkan bahwa ada pengaruh konsumsi daun kacang panjang terhadap peningkatan produksi ASI pada ibu postpartum di PMB “A” Kecamatan cirinten. Diharapkan hasil penelitian ini dapat memberikan informasi pada petugas kesehatan khususnya bidan dalam meningkatkan produksi ASI dengan cara memberikan penyuluhan kepada ibu postpartum serta merekomendasikan untuk mengkonsumsi daun kacang panjang sebagai salah satu cara dengan bahan yang mudah didapat dan tidak berbahaya bagi kesehatan ibu.
РОЛЬ СОЦИАЛЬНОЙ ЛИНГВИСТИКИ В ОБУЧЕНИИ ИНОСТРАННЫХ ЯЗЫКОВ
Authors: Абдимоминов М.А.
Published: March 2024

Предметом исследования являются студенты, ученики и те кто являются объектами в процессе обучения. Целью данного исследования является указать роли социальной лингвистики в процесс обучения и влияние на разные процессы восприятия решений. Методом исследования является сопоставительный анализ разных методов обучения и их результаты. Обучение иностранных языков является очень важной миссией в подготовке разноплановых кадров. В процессе обучении иностранных языков, преподаватель тоже изучает что-то новое. Это может быть совершенно что-то новое, или же давно забытое старое. В процессе обучения не могут быть никаких маленьких деталей или же мелочей, ведь без единого крохотного болта или гайки, не будут слаженно работать даже самые дорогие швейцарские часы. Что бы преподавать компетентно и ответственно, преподаватель должен иметь ввиду каждую часть темы и частые нюансы которые возникают в процессе обучения. Каждый преподаватель имеет собственный стиль обучения. В этом компоненте для преподавателя важнейшим помощником является отрасль лингвистики под названием социолингвистика.
Encryption of Card Details Using AES with a 128-bit Key a Secure Approach to Data Protection
Authors:   Student, Department of MSc. IT,  Nagindas Khandwala College,  Mumbai, Maharashtra, India, Limbachia Dipen
Published: March 2024

Data security is a critical concern in today's digital age, particularly regarding the protection of sensitive information such as cardholder data. This research paper explores the implementation of Advanced Encryption Standard (AES) encryption with a 128-bit key as a means of safeguarding card details. The project demonstrates the encryption and decryption process, ensuring data confidentiality and integrity. Utilizing the pycryptodome library in Python, the AES encryption technique is applied to encrypt card details, offering a secure approach to data protection. The methodology section outlines the AES encryption process, emphasizing key generation, encryption, and decryption. A detailed explanation of the Python implementation highlights the importance of key length and randomness in the encryption process. The results section presents the outcomes of encrypting and decrypting card details using AES encryption, analyzing the efficiency and security of the encryption process. Additionally, potential vulnerabilities and challenges encountered during implementation are discussed, along with their resolutions. In the discussion section, the research findings are interpreted in the context of data security and encryption standards. A comparison between AES encryption and other encryption algorithms is provided, evaluating performance and security aspects. Consideration is given to future research directions in the field of data encryption and security. Overall, this research paper underscores the significance of AES encryption with a 128-bit key for protecting cardholder information. By implementing AES encryption, organizations can enhance data security measures, ensuring the confidentiality and integrity of sensitive data in digital transactions. This abstract provides a concise overview of the research paper, summarizing the objectives, methodology, results, and implications of implementing AES encryption for card data protection. It highlights the importance of data security and encryption techniques in safeguarding sensitive information in digital transactions. Tokenizing cards enhances security, ensures regulatory compliance, boosts customer trust, and streamlines payment processes while reducing liability for organizations. Future developments may involve tokenizing cards even without customer consent. Keywords: Tokenization, Payment systems, Encryption, Fraud prevention
Human Machine Interface
Authors:   Electronics and Telecommunication Engineering Jayawantrao Sawant College of Engineering, Pune, S. Asst.Prof.Pange
Published: March 2024

This document presents a comprehensive literature survey of recent advancements in Human-Machine Interaction (HMI), with a primary focus on cutting-edge technologies poised to significantly shape the future trajectory of this field. By providing insights into current technical achievements and prospective developments, it becomes evident that advanced HMI technologies are on the brink of convergence. This convergence entails the integration of functionalities across HMI devices, the establishment of novel sensor fusion methodologies, and an overarching goal of bridging the gap between intelligent machines and humans. HMI holds pivotal importance in enabling the widespread adoption of robots and machines among populations lacking expertise in software and hardware. This is particularly transformative for segments such as the elderly and disabled, where intuitive interfaces facilitated by HMI facilitate enhanced accessibility and usability. As the field progresses, it is poised to revolutionize the way individuals interact with and benefit from intelligent machines, thereby fostering inclusivity and empowerment across diverse demographic groups. Key Words: HMI, sensor, robot and machines, software and hardware.
AI Study Partner : Development of an LLM and Gen AI-Enhanced Study Assistant Tool
Authors:   Information Science and Engineering & Bannari Amman Institute of Technology, P Jayavardhini
Published: March 2024

In recent years, Generative AI has started to play a pivotal role in transforming the educational landscape, making learning more personalized, engaging, and accessible. Unlike traditional educational tools, Gen AI can adapt to each student's unique learning style and pace, offering customized support that can significantly enhance understanding and retention of information. It enables the creation of intelligent tutoring systems, interactive study aids, and personalized learning experiences that can assess and respond to individual needs in real time This paper introduces the AI Study Partner, an innovative tool designed to revolutionize the educational landscape by integrating Generative Artificial Intelligence (Gen AI) and Large Language Models (LLMs). The AI Study Partner is engineered to cater to the diverse needs of learners by offering a suite of six key features: the ability to upload and interact with any type of content, summarization of extensive lessons, generation of flashcards for effective study, automated question creation with auto-evaluation capabilities, a conversational chatbot assistant, and an advanced smart search function. These features collectively aim to create a more personalized, engaging, and efficient learning experience. The development of the AI Study Partner responds to the pressing need for educational tools that accommodate the varying paces and styles of learning, making education more accessible and effective. By leveraging the latest advancements in AI, the tool not only facilitates a deeper understanding of complex subjects but also encourages independent study habits and critical thinking skills. This research outlines the conceptual framework, design methodology, and technical implementation of the AI Study Partner, highlighting its potential to positively impact education by providing a versatile and interactive learning platform.The AI Study Partner represents a significant step forward in the pursuit of creating adaptive, responsive, and personalized educational experiences for learners worldwide. Key Words : Artificial Intelligence in Education, Personalized Learning , Large Language Models (LLMs), Generative AI (Gen AI), User Engagement in Learning Data-Driven Education, Vector database, AI based Feedback Conversational Chatbots, Smart Search.
Analysis of Model Progression and Parity in Personalized Modeling of Lipsync Decoder to Cater Hearing Impaired Individuals
Authors:   Student, Department of Artificial Intelligence and Data Science,              Bannari Amman Institute of Technology, Sathyamangalam, A Akshay
Published: March 2024

The Analysis of model progression and parity in personalized modeling of Lipsync decoder to cater hearing impaired individuals aims to enhance communication accessibility for hearing-impaired individuals by understanding flaws in and helping bring light to them translating visual cues from lip movements into intelligible speech through advancements in machine learning and computer vision. This paper delves into the analysis of model progression and parity in personalized modeling of Lipsync decoder technology to enhance communication accessibility for hearing-impaired individuals. By implementing the LipNet model through meticulous data collection, customization, and rigorous testing, the study aims to address challenges in real-time lip sync probe decoding. Results reveal a variation in word error rate when tested upon different video formats, highlighting the consistency, resilience, and potential for personalized modeling to improve communication accessibility for individuals with hearing impairments. The research underscores the critical importance of accurate lip reading and real-time processing in achieving seamless translation of lip movements into understandable speech, emphasizing the necessity for precision and efficiency in communication technologies for the hearing-impaired community. Keywords: LipSyncProbe Decoder, Hearing-impaired individuals, real-time feed, LipNet model, datasets.
Implementation of AI for forecasting of wind speed and solar irradiation using different Machine Learning techniques
Authors:   M. Tech Scholar in  Electrical & Electronics Dept, SVVV, Indore (M.P.), Jain Visha
Published: March 2024

High penetration of solar and wind power in the electricity system provides a number of challenges to the grid such as grid stability and security, system operation, and market economics. Ones of the considerable problems of solar and wind systems, they depend on the weather, as compared to the conventional generation. As we know, the balance in managing load and generated power in energy system is very import ant. If the power which is supplied from solar and wind perfectly predictable, the extra cost of operating power system with a large penetration of renewable energy will be reduced. Since, the accurate and reliable forecasting system for renewable sources represents an important topic as a major contribution for increasing non-programmable renewable on over the world. The target of this research is to describe the advanced hybrid evolutionary techniques of computational intelligence applied for PV as well as wind power forecast. The evaluation of this investigation is obtained by comparing different definitions of the forecasting error. Moreover, the meaning of NWP (numerical weather prediction) values based on meteorological information on solar and wind power forecasting at Indore has been highlighted in this research.
Social Media and Social Networking
Authors:   Dept.of Education, S.V.University, Tirupathi, K Dr.Kavitha
Published: March 2024

A Social networking service (also social networking site, SNS or social media) is an online platform that is used by people to build social networks or social relations with other people who share similar personal or career interests, activities, backgrounds or real-life connections. The variety of stand-alone and built-in social networking services currently available in the online space introduces challenges of definition; however, there are some common features: (1) social networking services are Web 2.0 internet-based applications, (2) user-generated content (UGC) is the lifeblood of SNS organisms, (3) users create service-specific profiles for the site or app that are designed and maintained by the SNS organization, and (4) social networking services facilitate the development of online social networks by connecting a user's profile with those of other individuals and/or groups. Most social network services are web-based and provide means for users to interact over the Internet, such as by e-mail and instant messaging and online forums. Social networking sites are varied and they incorporate a range of new information and communication tools such as availability on desktop and laptops, mobile devices such as tablet computers and smart phones, digital photo/video/sharing and "web logging" diary entries online (blogging). Online community services are sometimes considered a social network service, though in a broader sense, social network service usually means an individual-centered service whereas online community services are group-centered. Social networking sites allow users to share ideas, digital photos and videos, posts, and inform others about online or real world activities and events with people in their network. While in-person social networking, such as gathering in a village market to talk about events has existed since the earliest developments of towns, the Web enables people to connect with others who live in different locations, ranging from across a city to across the world. Depending on the social media platform, members may be able to contact any other member. Key words : Social Networking, e-mail, Web-based, Social Media, Face Book .
ELECTRIC VEHICLE UNIFIED WITH WIND AND SOLAR POWER
Authors:   Assistant Professor in Department of Electrical and Electronics Engineering & SRIT, P Mr. Manohar
Published: March 2024

The global energy crisis and escalating pollution from vehicle emissions pose critical challenges, compelling a shift towards electric vehicles (EVs) as an eco- friendly remedy. Despite their environmental advantages, EVs confront a hurdle in extended charging durations. To combat this, the concept of onboard charging has been explored, where EVs autonomously generate and store electricity. This paper introduces a hybrid model harmonizing solar and wind energies to propel EVs, utilizing the vehicle's battery as a storage unit for surplus energy. Integrating both renewable sources enables continuous energy production, addressing the intermittent nature of solar and wind power. The system strategically prioritizes solar charging during daylight hours and switches to wind charging at night, optimizing energy utilization. Simultaneous usage of both sources enhances overall efficiency. This hybrid system ensures a reliable, sustainable charging solution, reducing dependence on conventional grids and curbing greenhouse gas emissions. The amalgamation of renewable energies into the transportation sector aligns with the global transition towards cleaner and sustainable energy practices. In summary, this hybrid model presents a pragmatic solution to the energy crisis and vehicle emissions, contributing to a greener and more sustainable transportation landscape. Key Words: Hybrid Vehicle, Renewable Energy, Solar power, Wind power, Remote Control, Green transportation, Arduino Uno, Motor Driver, Ultrasonic Sensor.
Study On Advanced Vehicle Number Plate Detection Systems-A Review
Authors:   Assistant Professor, Department of Electronics & Telecommunication Engineering KDK college of Engineering, Nandanvan Nagpur, Maharashtra, 440009, V. N. Prof.  Mahawadiwar
Published: March 2024

In response to the rising volume of vehicles on roadways, there's an urgent demand for advanced technologies to bolster security and streamline traffic-related operations. This project introduces an innovative solution: an Advanced Automatic Number Plate Detection System. Leveraging Python, Easy OCR, and Open CV, this system aims to develop a sophisticated Automatic Number Plate Recognition (ANPR) mechanism capable of accurately detecting license plates, extracting alphanumeric characters, and providing actionable insights for various applications. Python is chosen for its versatility and ease of use, serving as the primary programming language. OpenCV is employed for its robust image processing tools and license plate detection capabilities, while Easy OCR simplifies character extraction from license plates. Key features include license plate detection through OpenCV algorithms, character recognition via Easy OCR, and real-time processing suitable for tasks like traffic monitoring and surveillance. The project follows a structured approach encompassing data collection, image pre-processing, machine learning model training, integration, and thorough testing. Anticipated outcomes include a fully operational ANPR system with high accuracy in license plate detection and character recognition, surpassing conventional methods. Its potential integration into real-world applications such as traffic management underscores its significance in addressing challenges posed by increasing vehicle numbers, with YOLO v8 utilized for precise outcomes. Keywords- Python, Open CV, YOLO, tensorflow, Machine learning, ANN, CNN, and Easy OCR
CONSERVE CONVENTIONAL ENERGY RESOURCES BY SMART CITY LIGHTS
Authors:   Diploma Scholar Electronics and Telecommunication Engineering,Government Polytechnic Chhatrapati Sambhajinagar, India,, BHAVSAR SIDDHI NITIN
Published: March 2024

Our conventional energy resources are being rigorously used day by day. If the same practice goes on there will be no time that it will get extinct and probably, it will be all history to our future generation. Proposed methodology “CONSERVE CONVENTIONAL ENERGY RESOURCES BY SMART CITY LIGHTS”. This proposed system will consume very less electricity as the lighting of the area will be such a way that, it will work productively efficient throughout. In any city, street light is one of the major power consuming factors, most of times we see street light are on even after sunrise thus wasting lot of energy. To avoid this problem of energy wastage, this proposed methodology has automatic street light control base system with the super combination of IoT. This is less power consuming and security base system. The main perspective of this proposed system is to save the electricity. Key Words - Conventional Energy, MTBF, MTTR, Odd-Even, Display Reader, Regenerative Speed Breaker
ANALYSIS OF INVESTMENT FOR THE DEVELOPMENT OF THE KARANGAGUNG FISH PORT IN TUBAN REGENCY
Authors: Pradana Suresta , Oetomo Wateno , Koespiadi Koespiadi
Published: March 2024

Karangagung Fishing Port (PPI) in the coastal area of Tuban Regency, Palang District is known as the fisheries base in Tuban Regency, even most of the fish production from the Karangagung PPI fishing port has been marketed to all regions in East Java province. The sustainability of the development of an infrastructure project is very important to consider in the development of infrastructure in the maritime sector, especially the fisheries sector. This research will produce an investment analysis on the development of the Karangagung Fishing Port (PPI) infrastructure project which is expected to increase the productivity of the fisheries sector in the area. The investment analysis method used includes the calculation of Net Present Value (NPV), Internal Rate of Return (IRR), and Benefit Cost Ratio (BCR) with the analysis results of NPV value of 6,648,460,488.00, IRR 6.21% and BCR 1.0178 with an investment period of 25 years. From the results of the investment analysis that has been carried out, the NPV value is positive. then the IRR value or the rate of return on an investment with a value greater than the discount factor plan and the benefit value or BCR is more than 1 and the payback period in year 25 is the same as the investment period of 25 years. So, the feasibility of investment is still said to be feasible to use for handling the work of the Karangagaung Tuban Fishing Port Development.
THE EFFECT OF GOOD CORPORATE GOVERNANCE IMPLEMENTATION ON FINANCIAL PERFORMANCE
Authors: Tamara Tasya Tia , Haninun Haninun , Aminah Aminah
Published: March 2024

This research is based on the drive to understand the impact of good corporate governance (GCG) on earnings outcomes, providing a key foundation for further exploration in the context of financial organizations. The main focus of this research is on corporate governance principles, the role of audit committees, board autonomy, as well as aspects of financial performance such as capitalization and financial ratios. With a research timeframe involving data from 2017 to 2021, this study details an in-depth analysis of 39 banks and other financial organizations that have shares in the Indonesian market. The main findings of the study show a favorable and statistically significant correlation between the percentage of ownership held by institutional investors and the financial performance of the company. Involving aspects such as capitalization and financial ratios, the study reveals a meaningful link between solid corporate governance and positive earnings results. However, there were interesting findings regarding return on equity (ROE), a key indicator of financial success. The research showed that ROE was not affected by the independent committee variable, highlighting the complexity of the relationship between GCG elements and certain financial indicators. In contrast, the audit committee variable was shown to have a positive and statistically significant impact on financial performance, suggesting a strong role in mitigating risk and increasing transparency in corporate management.
ANALYSIS OF MURABAHAH FINANCING FOR GOLD INSTALLMENT PRODUCT AT BANK SYARIAH INDONESIA BRANCH OFFICE MAGELANG GATOT SUBROTO
Authors: Zumarnis Erissa , Iswanaji Chaidir , Kahbibah Nibras Anny
Published: March 2024

This study aims to investigate the implementation of Murabahah financing, the challenges encountered in implementing Murabahah financing, and the strategies employed to overcome these obstacles at Bank Syariah Indonesia Magelang Gatot Subroto Sub-Branch Office. The research utilizes both secondary and primary data, with data collection techniques including interviews. The study adopts a qualitative research approach. The findings reveal that the Murabahah Agreement is established when a customer wishes to purchase gold from the bank in installments over an agreed period of time. The term "gold installments" is used to market the bank's gold installment financing products to customers. The bank will order the desired type of gold from PT. ANTAM once the customer's installments are fully paid. The bank then delivers the goods or gold to the customer in accordance with the initial agreement stated in the contract. This practice is implemented by the bank to mitigate potential risks. The challenges faced by Bank Syariah Indonesia at Magelang Gatot Subroto Sub-Branch Office involve promoting gold installment products. To address these challenges, the marketing team must regularly update the gold installment brochure using social media or other promotional platforms to enhance effectiveness. This is crucial due to the daily fluctuations in gold prices. The bank undertakes these efforts to ensure that customers are constantly informed about the latest gold price percentages
THE RELATIONSHIP OF KNOWLEDGE REGARDING THE PREVENTION OF DIARRHEA INCIDENCE IN MOTHERS WITH TODDLERS IN THE WORKING AREA OF LAMPULO COMMUNITY HEALTH CENTER, BANDA ACEH CITY
Authors: Desreza Nanda , Tharida Maimun , Asmaina
Published: March 2024

In Indonesia, diarrheal disease still frequently affects toddlers. In 2017, Lampulo Health Center in Banda Aceh City recorded 216 cases of diarrhea among toddlers. The objective of this study was to investigate the relationship between mothers' knowledge and the prevention of diarrhea in toddlers within the Lampulo Public Health Center's service area in Banda Alam Subdistrict, Banda Aceh, in 2019. This was a cross-sectional study with a target population of 216 toddlers. We selected 68 respondents using a proportional sampling technique. The research took place in the Lampulo Health Center's service area, Kuta Alam Sub-District, Banda Aceh City, from May 2 to May 22, 2019. The findings revealed several concerning statistics: 54.4% of children under five did not receive exclusive breastfeeding, 54.4% of toddlers had a poor diet (MP-ASI), 63.2% used contaminated water, 58.8% had inadequate handwashing practices, 60.3% used unsanitary diapers (Jamaban), 63.2% disposed of baby stool improperly, 64.7% of toddlers had not received measles immunization, 54.4% of mothers had insufficient knowledge, and 60.3% of mothers were unaware of how to prevent diarrhea. Statistical analysis yielded a P-value of 0.001, indicating a significant relationship between mothers' knowledge and the prevention of diarrhea in infants at the Lampulo Health Center in Banda Alam Sub-District, Banda Aceh City in 2019. We recommend that the Health Center implement the LROA (Layanan Pencegahan Diare pada Balita) program to provide diarrhea prevention services for toddlers by healthcare professionals to mothers with limited knowledge on the subject.
LIMITED EVIDENCE ON IMAGING FOR DETECTING PROSTATE CANCER: A SYSTEMATIC REVIEW
Authors: Abdulloh Arizal
Published: March 2024

This research aims to assess the diagnostic accuracy of imaging technology in detecting prostate cancer in patients with high PSA levels or suspicious findings in clinical examinations. The method involved searching for articles from the Medline, EMBASE, and Cochrane databases from 2011 to 2023. The selected articles used predefined inclusion criteria, and the risk of bias in individual studies was assessed using QUADAS-2. The abstracts and full texts were independently evaluated by the authors to assess the sensitivity and specificity of the imaging. The selection process followed the PRISMA 2020 guidelines. The literature search yielded 5421 abstracts, which were independently reviewed by the authors. Out of this number, 5401 abstracts were excluded due to irrelevance to the research title and abstract. Subsequently, a full review was conducted on 20 articles to assess their quality. Among the 20 articles, 14 studies were excluded because they were not original research, the PICO was not relevant, or the methods and populations used were not adequately described. Finally, six studies were included in this research, with four studies concerning MRI and two studies involving transrectal ultrasound with Doppler. Overall, the research findings indicate that the current number of imaging studies with adequate scientific quality is still limited to recommend their use beyond clinical trials for patients with high PSA levels or suspicious findings in clinical examinations. Therefore, further research is needed to strengthen and generalize these findings before imaging technology can be widely used as a diagnostic method for prostate cancer in this patient group.
THE RELATIONSHIP BETWEEN SELF EFFICACY AND EARTHQUAKE AND TSUNAMI DISASTER PREPAREDNESS AMONG STUDENTS OF SMAN 13 BANDA ACEH
Authors: Desreza Nanda , Nursa’adah  , Anisa Rina
Published: March 2024

Disaster is often perceived as uncontrollable things. Self-efficacy has been identified in having significant influence toward behavior in facing uncontrollable problems. School is one of the areas that have a higher risk of casualties during earthquake and tsunami because it is a gathering place of students, teachers, and other academic members especially on school hours; Therefore, they need the preparedness to face the disaster. The purpose of this research is to understand the correlation between self-efficacy and disaster preparedness of earthquake and tsunami on students at State Senior High School 13 of Banda Aceh. The type of the research is descriptive-correlative method with a cross-sectional study design. The sampling technique used is total sampling. The instrument used is a questionnaire which is self-efficacy questionnaire and preparedness questionnaire that develop by LIPI-UNESCO/ISDR. The data analysis used in this research was Spearman’s Correlation. This research shows that there is a significant correlation between self-efficacy and disaster preparedness on students at State Senior High School 13 of Banda Aceh. The data analysis shows that p-value of self-efficacy (0.001) including dimension of level (0.007), dimension of strength (0.002), dimension of generalization (0.001). Schools are recommended to improve students’ self-efficacy with disaster preparedness simulation training of earthquake and tsunami.
THE RELATIONSHIP BETWEEN FAMILY INCOME AND THE NUTRITIONAL STATUS OF PREGNANT MOTHERS AT AMPEL 1 PRIMARY HEALTH CARE CENTER IN BOYOLALI REGENCY
Authors: Rahayu Kurnia , Rahmawati Alfiah , Susiloningtyas Is
Published: March 2024

Pregnancy represents a significant phase in the lives of women, particularly for those who are married. Thus, pregnancy necessitates specialized attention, especially concerning the fulfillment of energy and nutritional requirements. The quality of maternal dietary intake before and during pregnancy has the potential to influence the health of both the mother and her baby. Malnutrition during pregnancy can lead to various complications, affecting both the mother and the fetus, including issues like anemia, bleeding, and inadequate maternal weight gain. Maternal nutritional intake is influenced by a multitude of internal and external factors within the pregnant mother and her family, encompassing factors such as low levels of knowledge, social dynamics, and household income. This study aims to explore the correlation between the nutritional status of pregnant women and the family income level at the Ampel Health Center in Boyolali Regency. The research employs a quantitative approach utilizing an analytical survey method with a cross-sectional design. The study involved a sample size of 30 pregnant women. The results reveal that the majority of participants are aged between 20-35 years, predominantly in the second trimester of pregnancy, with 10 respondents (33.3%) in trimester II and 20 respondents (66.6%) in trimester III. The Spearman's rank correlation test yielded a p-value of 0.353, which is above the significance level of 0.05 (0.353 > 0.05). Nonetheless, there is no significant correlation between the nutritional status of pregnant women and the family income level at the Ampel Health Center in Boyolali Regency.