bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Skrining Administratir Resep Rawat Jalan Pasien BPJS Poliklinik Paru Dan DOTS TB Di Rumah Sakit X Di Depok Periode Januari-Maret 2022
Authors: Rokhliani Ratu , Lakoan Milda Rianty , Arianti Varda
Published: July 2023

Skrining administratif merupakan pengkajian resep untuk meminimalkan kesalahan pengobatan. Tujuan penelitian ini untuk mengetahui analisis skrining administratif resep rawat jalan pasien BPJS poliklinik Paru dan DOTS TB di Rumah Sakit X di Depok periode Januari-Maret 2022 dengan batasan penelitian resep pasien BPJS yang ditulis dokter Spesialis Paru. Metode Penelitian ini deskriptif non eksperimental dengan pengumpulan data secara retrospektif. Teknik pengambilan sampel dilakukan secara total sampling. Resep yang diteliti sebanyak 332 resep. Hasil penelitian menunjukkan kesesuaian administratif yaitu nama pasien 100% (332), umur 100% (332), berat badan pasien 97,6% (324), tinggi badan 0% (0), jenis kelamin 100% (332), nama dokter 100% (332), nomor SIP 52% (173), alamat dan paraf dokter 100% (332), tanggal resep 97,6% (324), dan ruang asal resep 97,6% (324), dengan total resep lengkap 0 dan total resep tidak lengkap 332 resep. Hal ini membuktikan bahwa analisis skrining administratif resep rawat jalan pasien BPJS poliklinik paru dan DOTS TB di Rumah Sakit X di Depok periode Januari-Maret 2022 belum memenuhi persyaratan 100% sesuai dengan Peraturan Menteri Kesehatan Nomor 72 Tahun 2016.
FrauDetect: Deep Learning Based Credit Card Fraudulency Detection System
Authors: Appalabatla Shanmukha Priya Sreenidhi
Published: July 2023

Huge increase in the internet usage has been observed since last decade. It led to the emergence of services like e-commerce, tap and pay systems, online bill payment systems, etc. have proliferated and become more widely used. Due to various online payment options introduced by e- commerce and other numerous websites, the possibility of online fraud has risen drastically. Thus, due to an increase in fraud rates, research on analyzing and detecting fraud in online transactions has begun utilizing various machine learning techniques. The Deep Learning techniques viz., Convolutional Neural Network Architecture is used to detect credit card frauds in the proposed model. The Principal Component Analysis transformation gives a set of numerical input variables as output which are taken as the features to be considered. Due to confidentiality concerns, some of the original characteristics and background information about the data are not entirely disclosed. Features of credit card frauds must be chosen carefully as they play important role when deep learning techniques are used for credit card fraud detection. The TensorFlow and Keras are used for the development of the current proposed model. The proposed model aims to predict credit card frauds with 91.9% accuracy. Key Words: Credit card, Fraudulent, Deep learning, Principal Component Analysis, TensorFlow, Keras
Attendance System using Face Recognition
Authors: JOURNAL IJSREM
Published: July 2023

Abstract—In the current educational system, student’s frequent attendance in class is very important for performance evaluation and the quality control. Most institutions still use insecure, time-consuming traditional methods like calling people by the name or having them sign documents. Face recognition technology based on high-definition monitor video and other information technologies is used to solve the problem of the recognizing face for taking attendance. A facial recognition attendance system uses facial technology to automatically record attendance while identifying and verifying a person based on their facial features. This research focusing on a face recognition-based attendance system with getting a less false- positive rate using a threshold to confidence i.e., Euclidean distance value while detecting unknown persons and save their images. Compare to other Euclidean distance-based algorithms like Eigenfaces and Fisher faces, Local Binary Pattern Histogram (LBPH) algorithm is better. We used Haar cascade for face detection because of their robustness and LBPH algorithm for face recognition. It is robust against monotonic grayscale transformations. Scenarios such as face recognition rate, false- positive rate for that and false-positive rate with and without using a threshold in detecting unknown persons are considered to evaluate our system. We got face recognition rate of students is 77% and its false-positive rate is 28%. This system is recognizing students even when students are wearing glasses or grown a beard. Face Recognition of unknown persons is nearly 60% for both with and without applying threshold value. Its false-positive rate is 14% and 30% with and without applying threshold respectively. Keywords—Face recognition, face detection, machine learning, Haar Cascade Algorithm, Local Binary Pattens Histograms (LBPH).
FUZZY LOGIC BASED IMPROVED STABLE ELECTION PROTOCOL TO INCREASE LIFETIME OF WSN ASSISTED IOT NETWORK
Authors: Rana Sunny
Published: July 2023

Due to their amazing capabilities and expanding array of applications, wireless sensor networks have attracted a lot of interest from general public and scientific groups. A specialised transducer that is part of WSN brings sensing capabilities to IoT. Low battery and resource capacity of this equipment poses numerous difficulties for both academia and business. Many current WSN routing protocols have been improved to solve certain LEACH protocol problems. The goal of suggested approach is to prolong network longevity while maintaining good scalability because LEACH's performance rapidly degrades with growing networks. The fuzzy logic-based Stable Election Protocol (FI-SEP) is described in this work. suggested approach aims to increase network longevity in spite of network size growth. In this study, the network performance of the FI-SEP and I-SEP routing protocols are compared. According to simulation results, FI-SEP performs better in terms of energy efficiency on large-scale WSNs than the benchmarked protocol. Keywords: WSNs, Clustering, IoT, Routing, I-SEP, Energy efficiency, Fuzzy logic
WOMEN SAFETY DEVICE
Authors: Kanitkar Dr. Manasi
Published: July 2023

The issue of women's security has emerged as a significant concern in many countries. Surveys indicate that approximately 25,000 crimes against women are reported in India each year. Sexual harassment and abuse have been on the rise for the past 10 years. It is now essential to create a strategy that protects women from becoming victims and lowers such assaults. This project aims to design and implement a highly dependable system for women's protection. The project introduces a women's safety device integrated with GPS tracking and alerts, utilizing Raspberry Pi 3. The GPS receiver gives location in the form of latitude and longitude. The Raspberry Pi 3 processes this data and transmits it to the server (Google Firebase) via the built-in Wi-Fi on the Raspberry microcontroller. From the server, alert messages along with GPS coordinates are sent to predefined mobile numbers. In times of danger and when assistance is required, a woman can activate the device by pressing a given switch. Once activated, the device tracks the current location through GPS and sends an emergency message to the predetermined mobile number. Additionally, the system captures the overall situation and stores an image on the SD card and server. Key Words— GPS, RaspberryPi3, Firebase Server
Advancements in Machine Learning for Intrusion Detection in Cloud Environments
Authors:   RD Engineering College Ghaziabad, India, Sharma Shashank
Published: July 2023

Cloud computing has transformed the storage, processing, and sharing of data for organizations, but it has also brought about new security concerns. Intrusion detection systems (IDS) are essential in identifying and mitigating potential threats in cloud environments. This research paper delves into the advancements in machine learning techniques for intrusion detection in cloud systems. It provides a comprehensive analysis of different machine learning algorithms, methodologies, and approaches employed to bolster the security of cloud environments. Machine learning algorithms have shown promise in enhancing intrusion detection by analyzing vast amounts of data and detecting patterns indicative of malicious activities. These algorithms can adapt and learn from new data, enabling them to detect previously unseen attacks. The paper examines the benefits and challenges associated with the application of machine learning in intrusion detection. It highlights real-world use cases that demonstrate the effectiveness of machine learning in detecting and preventing various types of cyber threats. Additionally, the paper explores the integration of machine learning with other security mechanisms to augment the overall effectiveness of intrusion detection systems in cloud environments. This integration can involve combining machine learning with traditional rule-based approaches or incorporating anomaly detection techniques. The research paper also discusses the evaluation metrics used to assess the performance of machine learning-based intrusion detection systems, such as detection accuracy, false positive rates, and computational efficiency. By providing an in-depth analysis of machine learning techniques for intrusion detection in cloud systems, this research paper contributes to the understanding of how these technologies can enhance the security of cloud environments. It serves as a valuable resource for organizations seeking to implement robust and efficient intrusion detection systems in their cloud infrastructures. KEYWORDS Machine learning, Intrusion detection, Cloud computing, Deep learning, Artificial intelligence, Data mining, Ensemble learning, Real-time detection, Threat intelligence, Network traffic analysis.
Identifying the Base Sales Contribution for MTA Model
Authors: Dalvie Sandnya
Published: July 2023

Multi-touch attribution (MTA) is a technique for measuring marketing effort that considers all the consumer touchpoints and assigns a certain percentage of credit to each channel so that marketers can evaluate the importance of each touchpoint in generating a potential sale. MTA is a bottom-up strategy that uses cookies to give users'-level perceptions of every channel, format, and ad creative before the sale event. The strategy underlines the fact that not all purchases are a direct result of marketing efforts but can also arise from other non-obvious factors when capturing customer event logs to attribute sales. This highly sophisticated automated solution considers factors like seasonality, specific macroeconomic factors (like change in economic index, inflation, or incentive to promote sales like lower loan interest rates), government subsidies to avoid falling in the pitfall of assigning all the credit entirely to Digital Marketing drivers. MTA then assigns sales credit to each of the touch points using a highly effective Deep Learning algorithm. The goal of the article is to build a statistical process for determining which sales are driven by actual marketing efforts and which sales are generated without spending much on product advertisements, campaigns, or other non-promotional activities. It provides a detailed explanation of a variety of scenarios for predicting the Base Sales percentage for online leads and sale produced by modelling approaches.
Enhancing GPU Performance for SHA-3 Algorithm: Optimizing Hashing Operations in a Parallel Computing Environment
Authors:   Sri Manakula Vinayagar  Engineering College, Puducherry-605 107.India, Vasuki M
Published: July 2023

Software implementation of Hash function have not been able to offer satisfactory performances for various application thus far. Additionally, SHA-3 and SHAKE, which utilize SHA-3, are extensively utilized in many Post Quantum Cryptosystem (PQC) . Therefore, there is a need for research to optimize SHA-3 in the software environments. Our proposal involves an optimized software implementation of SHA-3 on a GPU environment. To improve performance efficiency, we suggest various techniques such as optimizing the internal processes of SHA-3, inline PTX optimization, efficient memory usage, and asynchronous CUDA stream application. After implementing these optimization methods, our SHA-3(512) (and SHA-3(256)) algorithm provides a maximum throughput of 88.51 Gb/s (and 171.62 Gb/s) on the RTX2080Ti GPU without CUDA stream. The proposal aims to optimize the software implementation of SHA-3 in a GPU environment to enhance performance efficiency. The suggested techniques include internal process optimization of SHA-3, inline PTX optimization, efficient memory usage, and the application of an asynchronous CUDA stream. After applying these optimization methods, our SHA-3(512) and SHA-3(256) algorithms provide a maximum throughput of 88.51 Gb/s and 171.62 Gb/s, respectively, on the RTX2080Ti GPU without CUDA stream.
Revisiting the Voices of Women in Ramayana
Authors: Hongal Prof. Pushpa
Published: July 2023

Despite the fact that the Ramayana's principles are ingrained in Hindu consciousness, efforts are being made to interpret this well-known epic in light of gender, identity and women voices among other topics. In the Ramayana, women's voices express concern about men's behavior of women and their place in the family and society. The emancipatory women of the Ramayana make an effort to free themselves from all social stigmas and their status in the family and society. The mythical Indian lady Sita is regarded as the ultimate example of virtues like purity, love, peace and compassion. The character of Sita might be viewed as an example of how a woman in the Ramayana had to fight for her identity and place in respect. The Indian goddess Sita is revered as the epitome of femininity and womanhood. She is also regarded as the ultimate example of virtues such as purity, love, peace and compassion. In Ramayana, Sita's character might be seen as an illustration of how a woman had to fight for her distinctiveness and respect. Several other characters in Ramayana like Mandodhari, Urmila Kaikayei, Mantahra Shoorpanaka and many others reveal their character, struggle in identifying self- dignity, following of their counterpart, compromising her desires etc. In her essay "Literature and Gender," Lizbeth Goodman asserts that "Gender refers to ways of seeing and representing people and situations based on gender difference." The emancipatory women of the Ramayana attempt to free herselves from any and all constraints. " In these Conceptual article authors are making an effort to understand and revisit the voices of few women characters from Ramayana. The primary objective of the study is to demonstrate the connection between gender and identity, particularly in light of the intricate portrayal of femininity in the Ramayana. Views expressed in this article is just based on the critical analysis and divergent thinking of available sources and not to hurt any sentiments.
A Review on Pneumonia Detection Using Image Processing Techniques
Authors: Kushare Snehal
Published: July 2023

Abstract—Due to their environment and way of life, people today experience various diseases. So, it is critical to identify issues at an early stage. However, it is challenging for a doctor to make an exact diagnosis based only on symptoms. Accurate diagnosis of a problem is the most challenging task to complete. The key to resolving this problem is to foresee the illness using data mining. The amount of data in the medical sciences is expanding quickly every year. Early patient treatment has profited from the proliferation of data in the healthcare and medical industries, boosting the accuracy of medical data analysis. Using illness data, data mining uncovers hidden patterns in a large amount of medical data. The detection and diagnosis of pneumonia are becoming increasingly automated. As we can see, the medical business uses and tests a range of technologies, implying that the detection of pneumonia will probably become less complicated. The approaches for detecting pneumonia using Support Vector Machine(SVM), Image Segmentation, Image Matching-SURF, and Convolutional Neural Networks(CNN) are evaluated in this paper. Pneumonia detection algorithms offer several features that ask for user input before delivering findings. Keywords— Diseases, detection, sickness, machine learning, pneumonia detection model, Support Vector Machine, CNN, SURF.
Fully Automated Android Application Safeguarding for Online Quiz Using Fingerprint and Location Based Authentication
Authors: Suresh Nomula
Published: July 2023

In present days conducting online exams is a very big challenge; most of the software, educational institutions, and other companies are selecting or recruiting their candidates by online mode. In this process, there is a chance of malpractice in their exams, so overcome this problem we are introducing this application(Alien World) it will provide more security features to conduct the exam, this application mainly works with the three security features like fingerprint authentication, location finding and capture the candidate image. Based on these features they can conduct online exams very securely. In this project, we are using a Global positioning system (GPS) to identify the candidate location; Biometric authentication to verify the correct candidate, Firebase (FB) is used to store the exams information and candidate images. In this examination process, it will ask the biometric authentication in the middle of the examination at any point of the time this feature provides more security to this application. Here we are proposing an MBAS (Multiple biometric authentication systems) algorithm for biometric authentication. AlienWorld is safer than compared with other applications. Keywords: Firebase FB, Global positioning system GPS, Multiple biometric authentication system MBAS, Android operating system.
Approaches to mass communication educational researches in universities and polytechnics of Nigeria
Authors: Akpan Udo
Published: July 2023

In Nigeria, many Universities and Polytechnics offer Mass Communication as a course for many of its students. But the different education institutions find many difficulties to classify mass communication as a discipline in the humanities, arts or the social sciences. There is no doubt that this quagmire has affected the direction and pattern of research teachings, literature and practice. This has called for the unbundling of Mass Communication courses from the arts, humanities or social science faculties or colleges. This work is to take an analysis of past mass communication research academic projects to establish the most frequent methods, theories and sectors of mass communication researches by students of Wellspring University and Heritage Polytechnic located in Southern Nigeria for generalization of findings. The research method adopted was content analysis to obtain quantitative data from 155 copies of past academic students projects. Findings was that 121 or 78 percent of projects was by choice of survey methods while 91 or 59 percent prefer social responsibility theory in mass communication researches. Recommendations are that tertiary institutions should expand the scope of teaching mass communication with varieties of research methods and theories to reflect the interdisciplinary nature of Mass Communication as a distinct academic discipline.
Ötegezegenli Sistemlerin Açısal Momentum Dağılımlarının İncelenmesi
Authors: BENDEŞ Gamze , SOYDUGAN Faruk
Published: July 2023

Bu çalışmada NASA’nın ötegezegen arşivinden derlenen 256 adet yıldız-ötegezegen sisteminin (tek yıldızlı ve tek gezegenli sistemler) açısal momentum dağılımları incelendi ve açısal momentumun yıldızın kütlesi, dönme hızı ve gezegenin kütle- siyle ilişkisi araştırılarak belirlendi. Bunun yanında yıldızın yaşı ile yıldızın dönme hızı arasındaki ilişki incelenerek bunun yıldızın dönme açısal momentumuna ve sistemin toplam açısal momentumuna yansıması ortaya konmaya çalışıldı. Örnek grubunun genişletilerek ve çeşitlendirilerek açısal momentum dağılımlarının incelenmesinin, bu sistemlerin ve onların oluşum ve evrimlerinin tartışılabilmesi açısından önemli olacağı ve ileriki dönemde araştırılabileceği belirtildi.
KOI-7253 Sisteminin Zonklama Doğası
Authors: KAYA Nurhan Özlem , SİPAHİ Esin
Published: July 2023

Çift sistemlerde, iki bileşenin sahip olduğu farklı bünyesel özellikler nedeniyle ışık eğrilerindeki değişimleri modellemek zor olabilir. Böylesi ışık değişimlerine sahip yıldızlarda zonklama değişimi gösteren bileşenin doğası belirsizlikler içerebilir. Bu çalışmada, literatürde tam olarak türü belirlenemeyen KOI-7253 (KIC 9913481) çift sisteminin yüksek çözünürlüklü Kepler Uydu verileri kullanılarak ışık değişimleri incelenmiş ve zonklama gösteren bileşenin doğası yorumlanmıştır. Ayrıca, sistemin ışık eğrisi çözümlenerek salt parametreleri hesaplanmıştır. Son olarak, sistemde yörünge değişiminin varlığı araştırılarak mevcut evrim durumu tartışılmıştır.
Manyetik Özellikli Kimyasal Sıra Dışı Yıldızların CoRoT Verileriyle Periyot ve Yüzey Leke Analizleri
Authors: ÖZGÜR Ergün , YÜCE Kutluay
Published: July 2023

Bu çalışmada, manyetik özellikli kimyasal sıra dışı (mCP) HD 171586 ve HD 170973 yıldızlarının CoRoT uyudu gözlem verilerine dayalı fotometrik analizleri gerçekleştirildi. Periyot analizlerinde Period04 (Lenz ve Breger 2005) ve Lomb- Scargle (Lomb 1976, Scargle 1982) programları kullanılarak yıldızların dönme periyotları belirlendi. İncelenen manyetik özellikli A tayf türüne sahip kimyasal sıra dışı iki yıldızın oldukça duyarlı, kesintisiz, uzun zaman aralığını kapsayan gözlemsel verilerinden tespit edilen fotometrik ışık değişimleri değerlendirilerek, Dorren (Dorren 1987) ve M acula (Kipping 2012) programları ile yüzey element bolluk dağılımları ilk kez incelendi. HD 171586 ve HD 170973 yıldızları için, sırasıyla, üç ve iki sıcak lekeye uyumlu yüzey haritalı modellerin uygun olduğu anlaşıldı.
Üniversite Öğrencilerinin Aile Değerleri ile Mutluluk Düzeyleri Arasındaki İlişkilerin İncelenmesi
Authors: ŞAR Ali Haydar , İNCİ Hilal
Published: July 2023

Bu araştırmanın amacı, üniversite öğrencilerinin aile değerleri ile mutluluk düzeyleri arasındaki ilişkiyi incelemektir. İlişkisel tarama modeli kullanılan bu araştırmanın çalışma grubunu yaşları 18-25 arasında değişen 331 üniversite öğrencisi oluşturmaktadır. Katılımcıların 195’i (%58.9) kadın, 136’sı (%41.1) erkek ve yaş ortalaması 21.46’dır. Araştırmada veri toplama araçları olarak Aile Değerleri Ölçeği, Mutluluk Ölçeği ve Kişisel Bilgi Formu kullanılmıştır. Çevrim içi ortamda toplanan verilerin analizinde betimleyici istatistikler, t testi, Pearson Korelasyon Analizi ve tek yönlü varyans analizinden yararlanılmıştır. Araştırma bulgularına göre, aile değerleri alt boyutlarından duygusal bağ, evliliğe bakış ve sadakat ile mutluluk düzeyleri arasında istatistiksel olarak anlamlı ve pozitif bir ilişki; kadın rolleri alt boyutu ile negatif bir ilişki saptanmıştır. Aile değerlerinin alt boyutları, cinsiyet ve anne babanın birliktelik durumu değişkenlerine göre anlamlı düzeyde farklılaşmakta; gelir düzeyine göre ise istatistiksel olarak anlamlı bir fark bulunmamıştır. Araştırma sonuçlarının gençlerin mutluluk düzeylerini artırmak amacıyla yapılacak olan çalışmalarda sahip oldukları aile değerlerinin bilinmesi anlamında literatüre katkı sağlaması amaçlanmaktadır.
Edebî Eserlere Yansıyan Kadın Sorunları: Adalet Ağaoğlu Eserleri
Authors: YAMEN Hülya
Published: July 2023

Bu çalışma Adalet Ağaoğlu’nun romanlarında yer alan kadın roman kişilerinin toplumda karşılaştıkları sorunları incelemek amacıyla yapılmıştır. Çalışmanın temelinde -romandaki kadınlar ister tip ister karakter olsun- toplumun her kesiminden seçilmiş kadınların, geleneklerden, ekonomiden ve eğitimsizlikten kaynaklanan sosyal, siyasal, bireysel, cinsel, sorunlarla nasıl yüzleştiği ve hangi mücadele yollarını geliştirdiği konusu yer almaktadır. Toplumsal sorunlar başlığı altında görevi kötüye kullanma ve çıkar sağlama, üretme özgürlüğünün kısıtlanması, Doğululuk-Batılılık, erkeğin kadın cinselliğine bakışı ve cinsel obje olarak görülmek alt başlıkları bulunmaktadır. Bireysel sorunlar bölümünde ise güvensizlik, iletişimsizlik, intihar, sınıf atlama çabası, görev sorumluluğu konularına değinilmiştir. Çalışmanın devamında eğitim hakkını elde etmeye çalışan kadınların yaşadığı zorluklar, cinsel istismar ve tacizlerle cinsel özgürlüğü kullanamama, gelenek ve görenekler yoluyla oluşan aile baskısı, siyasal kimlik temelli sorunlar bulunmaktadır.
EVALUASI POLA PERGERAKAN PENUMPANG DENGAN MODA TRANSPORTASI AIR Luwuk – Leme-Leme Di Pelabuhan Rakyat Luwuk
Authors:   Program Studi Teknik Sipil, Fakultas Teknik, Universitas Tompotika, HARIYAMI DIAH , Indradewi Diah ,   Program Studi Teknik Sipil, Fakultas Teknik, Universitas Tompotika
Published: July 2023

Kabupaten Banggai merupakan salah satu kabupaten di Provinsi Sulawesi Tengah, yang selain memiliki transportasi darat juga memiliki transportasi air (laut).Penelitian ini menggunakan 2 sumber data yaitu data sekunder yang diperoleh dari instansi –instansi terkait dan primer yang didapat melalui penyebaran kuisioner kepada penumpang dengan pengampilan sampel dilakukan secara acak berstrata (Stratiefied Random Sampling). Data-data tersebut kemudian dianalisa dengan metode analisis deskriftif Kuantitatif dan Chi Kuadrat (X2).Dari hasil analisa didapatkan bahwa pergerakan penumpang untuk trayek Luwuk –Leme Leme dengan karakteristik penumpang kapal motor berdasarkan kelompok umur 33,33% pelaku perjalanan berusia 21 –30 tahun dan 45,45% pelaku perjalanan adalah umum (pedagang,wiraswasta,petani,buruh dan nelayan) serta 90,90% maksud perjalanan adalah social/urusan keluarga dan 87,88% responden mengatakan harga tiket sesuai dan tidak perlu melakukan penambahan kapal motor.
ANALISIS KINERJA DAN KARAKTERISTIK PARKIR DI BADAN JALAN PADA HOTEL SADAR STAY DI KOTA LUWUK
Authors:   PRODI TEKNIK SIPIL UNIVERSITAS TOMPOTIKA LUWUK BANGGAI, SUSILAWATI SRI , Sumampouw Merlijn Justin ,   PRODI ARSITEKTUR, UNIVERSITAS TOMPOTIKA LUWUK BANGGAI
Published: July 2023

Peningkatan penduduk dan aktivitas telah meningkatkan kompleksitas permasalahan transportasi, disamping itu, fasilitas parkir merupakan salah satu prasarana lalu lintas yang penting dalam sistem transportasi, sedangkan kapasitas ruang parkir suatu Hotel menjadi pertimbangan pengunjung untuk memilih Hotel. Luwuk mengalami perkembangan pesat khususnya di bidang infrastruktur, perdagangan, pemerintahan dan pendidikan yang memiliki daya tarik tersendiri untuk dikunjungi. Maka parkir di badan jalan menyebabkan terjadinya hambatan samping di ruas jalan Dr. Samratulangi, maka dari itu perlu diadakan penelitian analisa kinerja dan karakteristik parkir di badan jalan pada Hotel Sadar Stay di Kota Luwuk. Penelitian ini bertujuan untuk mengetahui kinerja dan karakteristik parkir di badan jalan pada hotel sadar stay di kota luwuk. Penelitian ini menganalisis data berdasarkan karakteristik parkir, yang terbagi menjadi beberapa variabel yaitu, volume parkir, akumulasi parkir, durasi parkir, pergantian parkir, indeks parkir, rata-rata durasi parkir, jumlah ruang parkir dan hambatan samping pada ruas Jl. Dr. Samratulangi di Kota Luwuk. Hasil penelitian menunjukan bahwa karakteristik parkir untuk kendaraan roda empat pada Hotel Sadar Stay di Kota Luwuk pada ruas Jl. Dr. Samratulangi tidak memadai untuk kebutuhan pengunjung. Dimana diperoleh volume parkir tertinggi 94 kendaraan, akumulasi tertinggi terjadi di pagi dan sore hari 8 – 9 kendaraan, rata-rata lama parkir 55 menit/kend, parking turn over 47 kendaraan/ruang parkir, indeks parkir 200%, dan jumlah ruang parkir yang dibutuhkan 8.45 SRP/Kamar. Dengan demikian perlu menerapkan fasilitas parkir yang memadai sesuai kebutuhan parkir (SRP).
Evaluasi tingkat kerusakan Jalan Menggunakan Metode Pavement Condition Index (PCI) dan Metode Bina Marga
Authors: Riduan
Published: July 2023

Evaluasi kondisi jalan merupakan langkah awal yang penting dalam perencanaan pemeliharaan suatu perkerasan. Ada beberapa metode pendekatan yang dapat digunakan dalam melakukan evaluasi penilaian kondisi jalan, dimana diantaranya metode Bina Marga dan metode Pavement Condition Index (PCI).
Nilai Metode Bina Marga memilik rentang nilai 0 (nol) sampai lebih dari 7 (tujuh). Sedangkan metode Pavement Condition Index ( PCI ) adalah salah satu system penilaian kondisi perkerasan jalan berdasarkan jenis, tingkatan dan luas kerusakan jalan yang terjadi dam dapat digunakan sebagai acuan dalam usaha pemiliharaan. Nilai PCI memiliki rentangan 0 (nol) sampai dengan 100 (seratus) dengan kriteria sempurna (exellent), sangat baik (very good), dan gagal (failed).
Penelitian ini bertujuan untuk mengetahui jenis-jenis kerusakan jalan pada permukaannya. Dari hasil perhitungan menurut pavement condition index (PCI) pada ruas jalan tirta kencana-pandanwangi menunjukkan bahwa reting terbanyak dari jumlah sampel yaitu reting sempurna (Excellent) sebesar 46,662 % selanjutnya di ikuti dengan reting sangat baik (Very Good) sebesar  6,666 % dan reting baik (good) sebesar 6,666 % dan reting sedang (fair) sebesar 23,331 % dan reting buruk (Poor) sebesar 9,999 % dan reting sangat buruk (Very Poor) sebesar 3,333 % dan yang terakhir dengan reting gagal (failed) sebesar 3,333%. Dari hasil survey sepanjang 1850 km di peroleh luas kerusakan keseluruhan sebesar 68,97 % dengan reting baik (Good).
Sementara hasil perhitungan  menurut metode bina marga yaitu berupa kerusakan retak pinggir yang mempunyai interval luas total sebesar 0,326 %. Jenis kerusakan berikutnya adalah retak buaya sebesar 0,527 % serta tambalan sebesar 4,69 % dan yang terakhir kerusakan lubang sebesar 36,01 %. Sedangkan nilai prioritas yang di dapatkan adalah 17-(4 + 3 ) = 10 menandakan bahwa jalan tersebut cukup di masukkan dalam program pemeliharaan rutin.
Peran Modal Sosial dalam Pengembangan Masyarakat Desa Wisata Pujon Kidul Malang
Authors: Maarif Usman
Published: July 2023

Pemberdayaan masyarakat desa wisata Pujon Kidul telah berhasil menjadikan desa pujon kidul yang awalnya adalah desa miskin menjadi desa wisata yang maju dan mandiri. Artikel ini mengkaji tentang peran modal sosial dalam pemberdayan masyarakat di Desa Pujon Kidul, Kabupaten Malang. Metode yang digunakan dalam kajian ini adalah kualitatif pustaka. Hasil studi menunjukkan bahwa modal social memiliki banyak peran dalam kegiatan pemberdayaan  masyarakat  di desa pujon kidul. Elemen-elemen modal social secara sistemik mendukung tercapainya tujuan pemberdayaan masyarakat. Modal social yang ada di masyarakat desa pujon kidul telah mendorong terbentuknya relasi sosial dan menjadi energi yang memudahkan dan mempercepat pelaksanaan program pemberdayaan masyarakat di desa pujon kidul.
Saudi Arabia’s “Vision 2030”: Structural Reforms and Their Challenges
Authors: Kumar Nitish
Published: July 2023

This paper assesses the Saudi crown prince's visionary mega-project, "Vision 2030," superimposed as a new form of a social contract to diversify the country's economy and end dependency on oil revenue. The project sets to revive the long-staggering economy and propel the indicators of all sectors above the international averages. Concomitantly, the vision faces a colossal challenge as the kingdom is wheeled by authoritarian monarchical Islamic values that repudiate the concept of modernity, the final corollary of the prince's vision. This paper primarily assesses the education and healthcare system management based on the old social contract and seeks possible changes or restructuring according to "Vision 2030" objectives. The paper also looks into managing water shortages which are doomed to become more acute with the launch of mega infrastructural development projects. Further, this paper found that "Vision 2030" is steadily pushing boundaries, albeit there are impeding challenges ranging from the availability of skilled professionals to social, cultural and religious intransigence. Nevertheless, it can be convincible to argue that the cultural, social and political reformation is conceivable unless the citizenry has a strong will and vision regardless of how tumultuous the transition is, which would, in turn, help in streamlining the economic growth of the kingdom.
Building a Legacy? North Dakota’s Oil and Gas Legacy Fund an Exercise in Public Policy and Political Action
Authors: Yonk Ryan M.
Published: July 2023

From at least 2006, Western North Dakota experienced an oil boom that resulted in a dramatic increase in economic activity, and tax revenue. In response to this boom, North Dakota, through a constitutional ballot measure, established the Legacy Fund. This fund reserved 30% of monthly oil tax revenue collected by the state for future use. On July 1, 2017, the State Legislature, per the constitutional provisions creating the Legacy fund, became able to spend the interest (as well as some of the principal, with numerous limitations) from the fund.

How to allocate these funds has become a state-wide public finance policy and political issue. Governor Burgum and others have proposed a variety of ways to use the funds on public projects and tax relief. Decisions about the long-term purpose of the fund and how best to use its earnings have increased in urgency with both the availability of the funds and the volatility of oil and other tax revenues.

Deciding how to best use the Legacy Fund is both a fiscal and political question. Legislators must sort out how the interest earnings will be used, who should benefit, or if the fund should be used at all. I explore how these decisions are made, the possible implications of those decisions, the proposals that have been put forward, and propose a framework for how these decisions might be made.
Studies on Bioethanol Production from Rice Straw by Saccharomyces cerevisiae
Authors: Singh Brajeshwar , Choudhry Neeru
Published: July 2023

The present study aims to determine the bioethanol producing potential of locally isolated Saccharomyces cerevisiae strain using Rice straw as a substrate. Fifteen yeast strains were isolated from fruit sample (Apple, Papaya, Sugarcane, Grapes, Orange, Pineapple) and Kaladi samples collected from local markets of Jammu and Udhampur district respectively.  Potential yeast isolates were identified on the basis of morphological and microscopic characteristics which were similar to that of MTCC 170 culture procured from IMTECH-Chandigarh. Out of 15 isolates, 14 show a positive change in the color of screening medium indicating the production of ethanol. S-9 culture was further selected based on its highest bioethanol producing ability of 17.88 mg/mL at 24 h of fermentation on YEPD medium and hence chosen for the fermentation of rice straw hydrolysate. Rice straw was subjected to alkaline and acidic pretreatment which was followed by enzymatic hydrolysis. Ethanol Fermentation of the total Rice Straw Hydrolysate obtained after pretreatments using S-9 culture revealed maximum ethanol concentration of 12.26 mg/mL at 24h having fermentation efficiency of 69.5%, 50.7% of sugar conversion occur during the fermentation process and volumetric productivity of 0.1702 g/L/h. Ethanol content per gram of sugar utilized was estimated to be 0.168g/g. Further, S-9 culture show the maximum efficiency for bioethanol production on YEPD medium at temperature of 30ºC, pH of 5.6 and under static conditions.
Vitamin B12 Production by Lactobacillus Species Isolated from Milk Products
Authors: Singh Brajeshwar , Sharma Shruti
Published: July 2023

An investigation entitled “Studies on production of Vitamin B12 by Lactobacillus species isolated from milk products” was conducted in the Division of Microbiology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, to study the capability of mutants generated out of UV and EMS mutagens of native Lactobacillus isolates, for Vitamin B12 production potential.  In this study 8 isolates of Lactobacillus were isolated from curd and kaladi. Screening and Quantification of isolates was done on Vitamin B12 assay medium. The Vitamin B12 production by Lb-7 was 0.39 mg/g DCW. Lb-7, the fastest growing strain was selected for strain improvement, that was done by UV and EMS mutagens. Based on performance during screening, UV mutant was taken up for fermentation optimisation studies. The Vitamin B12 production by UV mutant was 0.63mg/g DCW. Three fermentation parameters i.e temperature, pH and inoculum load were optimized for mutant to enhance Vitamin B12 production. The Vitamin B12 production at 25°C was 2.05 mg/g DCW, 5.5 pH was 1.55mg/g DCW and 108 inoculum load was 1.53mg/g DCW. Best results were recorded at 25°C, 5.5 pH and 108 cfu/ml of microbial load. An increase in temperature, pH and inoculum load caused decrease in Vitamin B12 production due to death of cells.
Mutagenesis Induced Improvement of Coenzyme Q10 Production by Agrobacterium tumefaciens
Authors: Singh Brajeshwar , Akhter Yasmin
Published: July 2023

Mutagenesis induced improvement of coenzyme Q10 production by Agrobacterium tumefaciens with the view of increasing CoQ10 production via strain development by UV and EMS mutagenesis is of great importance. Further optimisation of fermentation parameters such as pH, temperature, and inoculum load was done to maximise CoQ10 yield. Soil and gall samples were collected from vegetable field of Research farm located at Chatha, Jammu. Repeated isolations and purification resulted in 05 Agrobacterium tumefaciens cultures from soil samples and 07 from that of gall samples. Identification of cultures was confirmed by morphological studies. Agrobacterium tumefaciens cultures were grown on selective media to screen CoQ10 producing strains. G12 was best amongst 12 isolates; it produced 2.36 mg/g DCW. Mutagenesis using UV and EMS treatment was done to obtain a high-CoQ10-producing strain from the native isolate (G12). When exposed for 7 minutes to mutagenic UV radiation from a distance of 10 cm, the native strain (G12) showed reduction in number of colonies. Also the viability of cells was reduced when they were treated with 80 μM EMS for 30 min but it was less effective than UV mutagenesis. G12 UV mutant strain was selected after screening and tested for CoQ10 production potential by flask culturing. Our results indicate that CoQ10 content increased from 2.36 mg/g DCW to 4.34 mg/ g DCW after mutagenesis, indicating positive mutations. G12 UV mutant was further studied in batch cultures with different inoculum loads at various temperatures and range of pH, to maximize CoQ10 production along with constant fermentation parameters like agitation (180 rpm) and incubation time (96 hours). Therefore, this study suggests that amongst the culture conditions tested so far for CoQ10 production, G12 mutant strain showed maximum CoQ10 content when 108 CFU/ml of inoculum load is used at 32°C and pH 7.0.
Biotransformation: A Novel Approach of Modulating and Synthesizing Compounds
Authors: Roy Proloy Sankar Dev , Singh Brajeshwar , Sharma Vikas , Thappa Chandan
Published: July 2023

Transformation of potential compounds into utilizable and beneficial forms is often cost involving and time consuming. Chemical transformation though was an existing opportunity catering our needs but due to environmental impacts and cost- benefit ratio analysis it proved futile and a new branch of transformation came into existence termed as biotransformation. Biotransformation is an excellent opportunity of tailoring compounds to cater our needs in a simple and is an eco-friendly approach. Biotransformation allows conversion of one component to another compound by application of biological systems. Fermentation based biotransformation of plant extract is a well-established world-wide standard technique used to maximize shelf-life, nutritional and organoleptic properties and to eliminate harmful substances from primary food substrates. Biotransformation by microbes has grown greatly from a small involvement in highly active fields of green chemistry, including the preparation of pharmaceutical drugs, in recent years. In addition fermentation processes have been targeted and optimized to enhance the production of active microbial metabolites using sufficient or suitable nutrients and with the correct microbial target for functional benefits. At present, significant attention has been given to biotransformation technology worldwide to develop medicines through the processing and enrichment of additional medicinally essential bioactive metabolites including terpenes, alkaloids, phenols, flavonoids and saponins. Biotransformation utilizing various biological systems can be used to modulate and in the enhancement of bioactive compounds in an environment promising way. Biotransformation is assumed to play a key role in green chemistry in future because of its sustainable approach. This review represents an overview of biotransformation techniques and its applications in a nutshell.
Soil Microbiome of the Cold Habitats: Trends and Application
Authors: Singh Brajeshwar
Published: July 2023

Bacterial communities in hard temperate are very important for low temperature diversity of microbes is vital for sustainability of an healthy ecosystem. Study of these microbes is very important as these can be source of various cold tolerant biomolecules. It has been observed that human interference in exclusive niches can disturb natural populations of a cold niche. Undisturbed niches of cold regions can be utilized for bioprospecting new biomolecules and can be a vital resource for new genomes. This review is focused on microbes and their habitat in which they can be studied for the benefit of mankind and shall provide information regarding variation in diversity and composition of bacterial communities. This will also give an idea about the association between bacterial community structures and soil physicochemical variables in cold-desert habitats.
Henry David Thoreau and the Philosophy of Civil Disobedience as a Non-Catalytic Cum Catalytic Model for Conflict Resolution
Authors: UDOFIA Christopher Alexander
Published: July 2023

This work with the title “Henry David Thoreau and the Philosophy of Civil Disobedience as a non-catalytic and catalytic Model for Conflict Resolution” is anchored on the thesis which asserts that non-cooperation with evil is as much a moral obligation as cooperation with good. The research problem which this paper focuses on is to unravel how Thoreau exemplified the philosophy of civil disobedience. The major objective of this essay is to expose the essential definitive elements of the philosophy of civil disobedience. Consequently, this research employs the philosophical tools of exposition, analysis and criticism in its discourse of the subject matter. The research establishes that commitment to civil disobedience as a measure of conflict resolution must be activated from a conscience that is abrasive and nonconformist to evil. The conscience constitutes the highest law and obedience to its dictates confers authenticity on the human being as an indivisible moral entity. Every act of civil disobedience is targeted at disobeying unjust and oppressive laws and or social systems. It is a form of rebellion which calls for active noncompliance to the unjust system. Though most intellectuals affirm that non-violence must be a fundamental element in every act of civil disobedience, Thoreau views the deployment of violence in overcoming injustice as a complementary element of civil disobedience. The use of violence as means to undo evil in the society is however a last resort in Thoreau’s scheme. It is this infusion of violence in the act of civil disobedience which appears to make Thoreau’s thought clash with the logic of consistency since civil disobedience is mostly acclaimed to be a non-violent act of resistance to evil. In submission, it can be gleaned that Thoreau advocated for non-violent civil disobedience only when the oppressive and unjust system is non-recalcitrant to change and transformation. However, when the evil system is totally opposed to change, then Thoreau would subscribe to the employment of a catalytic means to resist the evil system.
New Scale Mixture for Bayesian Adaptive Lasso Tobit Regression
Authors: Flaih Ahmad , Al-Saadony Muhannad , Elsalloukh Hassan
Published: July 2023

Abbas [1] proposed new hierarchical representation of the adaptive Bayesian lasso model as uniform density , mixing with standard exponential distribution based on a transformation of the mixture of uniform density and a particular gamma distribution formulation provided by Mallick & Yi [2] They consider the new proposed hierarchical formulation model and prior distributions, as well as the full Conditional posterior distributions structural under non conditioning on σ2 which makes the uncertainty, of a unimodal full posterior, Conditioning on σ2 is important, because it guarantees a unimodal full posterior Park and Casella [3]. So, we can conclude that [1] proposed new hierarchical representation utilizing a Non- scale mixture distributions, which needs to deal with this problem . To address this problem we consider new hierarchical representation of the adaptive Bayesian lasso for Tobit model based on scale mixture of Uniform density, mixing with standard exponential distribution.
تقديرات بيز المثلى لأنموذج مخاطرة نسبية لامعلمي مقترح
Authors: النقاش افتخار , Al-Sudani Marwah
Published: July 2023

من خلال التقصي والبحث في أدبيات نماذج البقاء عموماً ونماذج المخاطرة النسبية على وجه الخصوص أتضح أنه لم يسبق دراسة أنموذج مخاطرة نسبية لامعلمي، فضلاً عن عدم اعتماد نظرية الامثلية من خلال تطبيق معايير امثلية بيز في تحديد التصميم الامثل الذي يعطي مقدرات معلمات النماذج اللاخطية (نماذج الخطورة النسبية) بأقل تباين، إذ لم يسبق استخدام هذه النظرية في تقدير معلمات نماذج البقاء في العراق أو البلدان العربية الاخرى لحد الان على حد علمنا، لذا أرتينا اعتماد معايير امثلية بيز (DB , CB , AB) في الوصول الى تصميم امثل لتقدير معلمات أنموذج مخاطرة نسبية لامعلمي مقترح لمرضى احتشاء عضلة القلب الذي يعد من بين الامراض الأكثر خطورة التي تهدد حياة الانسان باستخدام مقدر Kaplan Meier لدالة المخاطرة في تمثيل دالة المخاطرة الاساسية.وقد توصلت الدراسة الى أن تأثير عوامل المخاطرة (ثلاثيات الغليسيريد في الدم (Trig) والبروتين الشحمي منخفض الكثافة (VLDL) وفحص ضغط الدم الواطي) عكسي على أوقات بقاء مرضى احتشاء عضلة القلب من خلال معلمات الأنموذج اللامعلمي المقترح المقدرة من التصاميم المثلى التي حصلنا عليها وفق جميع معايير الامثلية المدروسة وهذا يتطابق مع الواقع الطبي
اختبار فرضيات أنموذجي انحدار Islasso وlasso بأستخدام أسلوب المحاكاة
Authors: العزاوي دجلة , الحسني رائد
Published: July 2023

في هذا البحث تم اختبار الفرضيات الخاصة بمعاملات معادلة الانحدار الخطي في أنموذج انحدار اقل انكماش مطلق لاختيار العامل (lasso). كما تم تطبيق أنموذج انحدار التمهيد المستحث ذو اقل انكماش مطلق لاختيار العامل (islasso)، المقترح من قبل (Cilluffo وآخرون، 2019). ويعتبر أنموذج انحدار (islasso) بديل عن تطبيق أسلوب انحدار الشرائح (regression splines)، إذ يتم تحديد عرض الحزمة (bandwidth) بواسطة الخطأ المعياري (standard error) المقابل المحسوب بالبيانات، كما انه يسمح بالحصول على مصفوفة التغاير وإحصاءه (Wald) بسهولة نسبيًا.أظهرت نتائج تجارب المحاكاة أفضلية لمقدرات أنموذج انحدار (islasso) في حالة العينات الصغيرة والمتوسطة (n