bluuebunny/crossref_metadata_2025 huggingface dataset:
Uso da engenharia reversa para recuperação de suportes de ferramentas de usinagem
Authors: Lopes Felipe de Jesus , Salarini João Victor Fernandes , Salarini Pedro Henrique Fernandes , Costa Anderson Figueiredo da
Published: July 2024

Na indústria de usinagem, especialmente no contexto da produção de peças, enfrentamos um desafio significativo: assegurar a precisão e a eficiência dos processos de fabricação dos produtos. A chave para alcançar esses objetivos reside na obtenção e análise de uma ampla gama de informações relacionadas aos produtos em questão, a fim de garantir que sua qualidade permaneça alinhada com os padrões estabelecidos. A engenharia reversa emerge como uma abordagem fundamental para adquirir essas informações tecnológicas essenciais, permitindo-nos adaptar os processos de fabricação para atender a requisitos específicos, mesmo quando a peça ou produto necessários não estão prontamente disponíveis, ou quando se deseja replicar um modelo existente. O cerne da engenharia reversa é a investigação, parametrização e compreensão dos princípios subjacentes aos projetos mecânicos, tornando-se uma habilidade crucial para iniciar novos projetos ou modificar os existentes. O presente estudo concentrou-se na análise do desgaste dos suportes empregados nos processos de fresamento. Acompanhando sua utilização e descarte ao longo do tempo, identificamos que as ferramentas frequentemente sofrem colisões, resultando na substituição e descarte por considerá-las não utilizáveis. No entanto, uma análise mais aprofundada revelou que esses suportes poderiam ser recuperados por meio de um processo de tratamento da liga. Para avaliar a viabilidade dessa abordagem, foram considerados diversos parâmetros, incluindo o grau de desgaste, a profundidade das colisões e a presença de possíveis trincas. Os resultados indicaram que aproximadamente 70% dos suportes ainda apresentavam condições adequadas para tratamento e recuperação, possibilitando sua reintegração para uso contínuo. Portanto, além de oferecer uma solução potencial para minimizar os custos associados à substituição frequente de suportes, este estudo ressalta a importância da engenharia reversa como uma ferramenta estratégica na otimização dos processos de fabricação na indústria de usinagem. Ao aproveitar ao máximo os recursos disponíveis e aplicar técnicas inovadoras, podemos não apenas melhorar a eficiência operacional, mas também promover a sustentabilidade e a economia de recursos.
Inovasi Pendidikan Islam: Manajemen Tahfidz Camp di Panti Asuhan Berkah Palangka Raya
Authors: Khoirunisa Aminah
Published: July 2024

Pengabdian ini bertujuan untuk mengeksplorasi inovasi pendidikan islam di Panti Asuhan Berkah Palangka Raya. Inovasi manajemen ini merupakan gagasan, praktik, objek, dan metode baru di bidang pendidikan untuk mencapai tujuan pendidikan atau memecahkan masalah pendidikan. Ide, praktik, dan metode baru yang dimaksudkan adalah sesuatu yang sudah berjalan, sudah ada, sudah dipraktikkan dalam keseharian proses manajemen dalam kerangka peningkatan mutu pendidikan. Dengan menggunakan pendekatan kualitatif dengan rancangan studi kasus. Dengan mengambil lokasi pengabdian ini dilakukan di Panti Asuhan Berkah Palangka Raya. Data dalam pengabdian ini terbagi menjadi dua jenis yaitu data primer dan sekunder. Data primer dikumpulkan dengan melakukan wawancara tidak terstruktur kepada Ketua Panti dan beberapa pengurus yang ditunjuk sebagai informan. Data sekunder tersusun dalam bentuk dokumen-dokumen. Data sekunder diperoleh dari proses dokumentasi ketika observasi dan dokumen lain yang menunjang pengabdian. Adapun teknik pengumpulan data dengan menggunakan teknik wawancara, observasi serta dokumentasi. Sementara dalam melakukan analisis data yakni reduksi data, penyajian data dan penarikan kesimpulan.
Pengenalan Aplikasi Keuangan SIAPIK kepada Kedai Kopi Baku Dapa Esge Park Kota Jayapura dalam Memperluas Penggunaan Teknologi Keuangan
Authors: Upessy Veska Maria Christin , Ramadhan Chelsea Via , Windesi Daud Trezeguet Restu , Padang Putra Irvan Kala'
Published: July 2024

Permasalahan pada pemilik UMKM yaitu masih kurangnya pemahaman dan literasi serta keterbatasan dalam penggunaan teknologi keuangan yang menyebabkan pencatatan keuangan yang kurang efisien dan berdampak pada keberlanjutan usaha tersebut. Kegiatan pendampingan ini bertujuan untuk memperkenalkan aplikasi keuangan SIAPIK kepada Kedai Kopi Baku Dapa di Kota Jayapura dalam rangka meningkatkan penggunaan teknologi keuangan di kalangan UMKM. Metode kegiatan pendampingan dilakukan dengan cara memberikan sosialisasi & edukasi, akses mudah informasi, pendampingan individu, monitoring & evaluasi, dan penyedia platform informasi dengan menggunakan aplikasi keuangan SIAPIK. Kegiatan pendampingan ini berhasil meningkatkan pemahaman dan keterampilan pemilik UMKM dalam menggunakan aplikasi keuangan SIAPIK, walaupun terkadang masih butuh bantuan dalam menggunakan aplikasi tersebut.
Inovasi Fermentasi Jerami Padi Sebagai Pakan Ternak guna Menciptakan Kesejahteraan Peternak di Desa Musir Lor
Authors: Dewi Salsa Billah Lilia , Saragih Sabrina Ade Ulina , Putra Chrystia Aji , Firmansyah Rio Ferdian , Risdalina Salfa , Putro Sadewo Pramono
Published: July 2024

Hubungan antara industri pertanian dan peternakan sangatlah dekat, kedua sektor tersebut menjadi salah satu sumber utama penghasilan warga pedesaan. Diharapkan kedua sektor tersebut mampu disatukan dan saling bekerjasama dalam pengolahan limbah hasil produksi. Hal tersebut bertujuan agar menjadikan lingkungan tetap asri dan tidak tercemari oleh limbah sektor pertanian dan peternakan. Permasalahan di dalam desa Musir Lor, Kecamatan Rejoso, Kabupaten Nganjuk adalah tidak terkelolanya limbah padi dengan tepat sehingga limbah kebanyakan hanya dibuang atau dibakar yang hal tersebut semakin berpotensi mencemari udara dan lingkungan. Pengolahan limbah padi berupa jerami bisa difungsikan untuk pemberian pakan kepada ternak dengan sedikit pengolahan dan tatacara yang benar, salah satunya dengan cara melakukan fermentasi dan pemberian tambahan vitamin EM4 pada Jerami agar membantu ternak dalam mengoptimalkan hasil produksi peternakan. Hal tersebutlah yang dilakukan oleh mahasiswa KKN Tematik MBKM Universitas Pembangunan Nasional “Veteran” Jawa Timur dalam salah satu program kerja yang dilaksanakan, yaitu dengan Membuat dan memberikan hasil olahan fermentasi jerami padi kepada para warga desa, serta mensosialisasikan cara pembuatannya melalui media cetak berupa brosur kepada warga desa. Kegiatan ini bertujuan untuk mengedukasi para warga desa agar limbah panen dapat diberikan atau di jual atau akan dikelola lebih lanjut oleh peternak untuk dijadikan makanan tambahan bagi ternak. Ternak yang bagus adalah ternak yang sehat sehingga kebutuhan nutrisi ternak harus terpenuhi, Karena hasil ternak dipengaruhi oleh kesehatan kondisi fisik dari hewan ternak itu sendiri sehingga pemberian vitamin tambahan sangat diperlukan. Serta pemanfaatan Jerami sebagai limbah padi juga patut diperhitungkan, karena limbah jerami memiliki kuantitas yang banyak dan jika tidak diolah dengan baik maka akan sangat mencemari lingkungan. maka metode yang dilakukan adalah dengan melakukan fermentasi jerami padi dengan campuran EM4 yang digunakan untuk penambahan nutrisi pakan ternak. hasil dari kegiatan ini adalah warga desa bisa melakukan pengolahan limbah padi itu sendiri dengan metode yang telah diberikan oleh mahasiswa dan para warga juga mendapat hasil pakan ternak yang telah difermentasi oleh mahasiswa agar bermanfaat bagi masyarakat desa. Dampak yang dirasakan bagi masyarakat penerima dalam hal ini peternak adalah para peternak mendapat informasi baru tentang pengolahan limbah sekaligus mengetahui cara mendapatkan tambahan nutrisi untuk ternak yang mereka miliki, sehingga ternak mereka bisa lebih baik kedepannya.
Pemanfaatan Limbah Organik Pertanian Menjadi Pupuk Organik Cair di Desa Musir Lor Kabupaten Nganjuk
Authors: Aulia Rumaisha Vinna , Pratiwi Sekar Arum , Putra Chrystia Aji , Rasyid Hafizh Fadli Al , Barrulanda Reyhan Javier
Published: July 2024

Desa Musir Lor, Nganjuk merupakan desa yang kaya akan hasil tani dengan komoditas utamanya yaitu padi. Tetapi terdapat beberapa permasalahan bagi para petani terutama keluhan tentang harga pupuk yang tinggi. Hal ini tentunya menjadi masalah bagi para petani. Adapun salah satu alternatif daripada pupuk konvensional adalah pupuk cair organik. Pupuk cair organik merupakan pupuk yang diolah menggunakan limbah oranik. Limbah organik merupakan sampah yang berasal dari sisa alam yang dapat mengalami pembusukan. Limbah organik merupakan limbah yang dapat diolah menjadi pupuk, baik itu pupuk cair maupun pupuk padat. Pupuk organik merupakan pupuk yang mengandung lebih banyak mikroorganisme sehingga dapat meningkatkan kesuburan tanah. Namun pupuk organik cair memiliki beberapa keunggulan, seperti meningkatkan daya serap tanah, memperbaiki struktur tanah dan meningkatkan kualitas kondisi dalam tanah. Pengabdian ini dilakukan dengan beberapa tahap, seperti persiapan, pelaksanaan, dan monitoring. Metode yang digunakan dalam penelitian melalui beberapa tahap, tahap persiapan, tahap pelaksanaan, dan tahap monitoring. Setelah penelitian ini dilakukan, didapatkan hasil bahwasanya pupuk cair berhasil dalam meningkatkan efektivitas dan efisiensi dalam pertanian. Hasil evaluasi pelaksanaan kegiatan yaitu masyarakat mampu memanfaatkan limbah pertanian menjadi pupuk organik cair yang dapat meningkatkan efektivitas dan efisiensi dalam pertanian serta dapat meningkatkan pertumbuhan ekonomi masyarakat Desa Musir Lor.
Speaker Identification in Crowd Speech Audio using Convolutional Neural Networks
Authors: Husam Husam ,   Computer Science Department, College of Science, University of Baghdad,   Computer Science Department, College of Science, University of Baghdad, Abdulmohsin Husam Ali
Published: July 2024

Crowd speaker identification is the most advanced technology in the field of audio identification and personal user experience which researchers have extensively focused on, but still, science hasn’t been able to achieve high results in crowed identification. This work aims to design and implement a novel crowd speech identification method that can identify speakers in a multi speaker environment, (two, three, four and five speakers). This work will be implemented through two phases. The training phase is the Convolutional Neural Network (CNN) training and testing phase. Through this phase, the training will be implemented on data generated via the Combinatorial Cartesian Product approach. This approach uses two primary processes, the Computation of the Cartesian product process and combinatorial selection process. The second phase is the prediction phase. The aim of this phase is to check the CNN trained in the first phase, through testing it on new crowed audios than the data that the CNN was trained on in the first phase, these new crowded audios exist in the Ghadeer-Speech-Crowd-Corpus (GSCC) dataset, which is a new database designed through this work. Compared to the state-of-the-art speaker identification in multi speaker environment approaches, the results are impressive, with a recognition rate of 99.5% for audio with three speakers, 98.5% for music with four speakers, and 96.4% for audio with five speakers.
A Hybrid Deep Learning Model for Securing Smart City Networks Against Flooding Attack
Authors: Bashar Bashar ,   Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia,   Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia,   2Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Kuala Terengganu 21300, Malaysia,   Nottingham Trent University, Nottingham, UK, Othman Siti Hajar , Razak Shukor Abd , Konios Alexandros
Published: July 2024

Due to the increasing digitization of city processes, there has been a significant shift in how cities are governed and how people make their living. However, several types of attacks could target smart cities, and Flooding Attacks (FA) are the most dangerous type. It is also a major issue for many people and programs using the Internet nowadays. Security in smart cities refers to preventative measures necessary to shield the city and its residents from direct or indirect harm by attackers who try to crash the system and deny legitimate users the use of the services. Smart city security, in contrast to standard security mechanisms, necessitates new and creative approaches to protecting the systems and applications while considering characteristics like resource limitations, distributed architecture nature, and geographic distribution. Smart cities are vulnerable to several particular issues, including faulty communication, insufficient data, and privilege protection. Therefore, a hybrid CRNN model that consists of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) algorithms is employed for the detection of Flood Attacks based on the classification of traffic data. Subsequently, the performance of the CRNN is tested and evaluated using the CIC-Bell-DNS-EXF-2021 dataset. The obtained accuracy results of the proposed CRNN model achieved in FA detection is 99.2%.
Enhanced Credit Card Fraud Detection Using Deep Learning Techniques
Authors: Ola Ola ,   College of Science for Women-Computer Science Dept, University of Babylon, Babylon, Iraq,   College of Science for Women-Computer Science Dept, University of Babylon, Babylon, Iraq, Al-Sultan Ali Yakoob Al
Published: July 2024

Credit card fraud is a huge challenge in the financial sector, causing huge losses every year. The problem is exacerbated by increased marketing and sophisticated fraudulent activities. This study addresses the important issue of accurate real-time detection of fraudulent transactions to minimize financial losses and enhance transactional security. The main objective of this study is to develop a comprehensive fraud detection algorithm using deep learning techniques, specially designed to address the complexity and volume of modern credit card transactions. Key contributions of this research include the presentation of a new deep learning algorithm optimized for credit card fraud detection, the integration of feature engineering techniques to improve the performance of the model, and a potential scalable solution analysis in real-time Significant improvement in proven rates. The results show that the proposed deep learning-based model achieves higher accuracy and lower false positive rate, giving financial institutions a significant advantage in protecting against fraudulent activities about the character. This study highlights the power of deep learning in reforming fraud detection systems, and lays the foundation for future developments in this important area.
Bridging the Gap between Technology and Medicine through the Revolutionary Impact of the Healthcare Internet of Things on Remote Patient Monitoring
Authors: Prerna Prerna ,   Professor  Head, Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women, Bhimavaram, India,   Asst. Professor, Centre for Artificial intelligence, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India,   IES Institute of Pharmacy, IES University, Bhopal, Madhya Pradesh 462044, India,   Department of Biotechnology, GD Rungta College Of Science  Technology, Kohka Kurud Road, Bhilai, Chhattisgarh 490024, India,   Asst. Professor, Dept. of CSE, Lakireddy Bali Reddy College of Engineering, Vijayawada, AP, India,   Assistant Professor, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Tiwari Vibha , Uikey Jyoti , Mehta Prerna , Rao Chopparapu Srinivasa , Thanuja Annamaraju
Published: July 2024

Healthcare Internet of Things (IoT) initiatives that aim to integrate technology and medicine are shaking the sector to its foundations. The revolutionary potential of the proposed strategy is shown here as we investigate the far-reaching consequences of the Healthcare IoT on remote patient monitoring. The beginning sets the stage by underlining the significance of bridging the gap between technology and medicine. Our multi-pronged approach comprises Internet of Things (IoT) remote monitoring, cloud-based analysis, artificial intelligence (AI) integrated diagnostics, real-time alerts, and predictive analytics. Our study's results demonstrate that the proposed approach is superior to the status quo. The area of remote patient monitoring has profited considerably from the employment of traditional approaches, such as the fusion of data from wearable sensors, analysis in the cloud, diagnostics that utilize artificial intelligence, real-time monitoring, predictive modeling, and smart alarm systems. The suggested strategy, however, performs very well across all of the most important measures of assessment. Comparatively, the accuracy rate of the conventional wearable sensor fusion approach was only 76%, whereas our suggested method reached 89%. Our strategy was also more accurate than the standard approach (88% vs. 73%). When compared to the recall rate of 68% produced by conventional methods, our suggested strategy significantly outperformed the competition. It's a great option for hospitals and clinics since it improves diagnostic precision and speed without breaking the bank.
Security Implications of IoT-Enabled Mobile Net Facial Recognition System
Authors: Sumit Sumit ,   Research Scholar, Dept. Of Computer Science and Engineering, IES COLLEGE OF TECHNOLOGY, BHOPAL, India,   Professor, Dept. Of Computer Science and Engineering, IES COLLEGE OF TECHNOLOGY, BHOPAL, India, khan Nikhat Raza
Published: July 2024

Face recognition technology is gaining popularity for security, access management, and user identification. A novel facial recognition method employing cutting-edge deep learning algorithms and attention processes reduces false positives in this study. This technique was designed to approach facial recognition differently. We demonstrate statistically substantial recognition gains over current approaches through extensive research and experimentation. The recommended solution uses an attention device and a complex feature extraction module. The pieces work together to highlight distinctive characteristics and facial identifiers. To optimize performance and generalization across datasets, data addition and hyper parameter adjustment are used to fine-tune the model. We do this for maximum benefit. Studies on the issue may help us understand the multiple reasons that make ablation so successful. We also discuss facial recognition technology's moral difficulties, including fairness and user privacy. We also emphasize cautious distribution. Our findings expand facial recognition technology knowledge and pave the way for future studies. This study demonstrates that better Mobile Net models and Internet of Things technologies increase the accuracy of mobile facial recognition. The project overcomes the challenge of providing powerful AI tools in resource-constrained situations by utilizing IoT infrastructures and effective, lightweight Mobile Net architectures. Extensive testing demonstrates that the technique increases identification rates and outperforms existing models, showing its suitability for real-time operations. The Internet of Things enables data mobility and cross-device model usage. This illustrates that the IoT ecosystem can enable effective and scalable security solutions.
The Healthcare IoTs as a Paradigm Shift in Healthcare Management, Patient Treatment, and Healthcare Data Processing
Authors: Amit Amit ,   Associate Professor, Department of Computer Science and Engineering, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur , C. G., India,   Department Education, GD Rungta College of Science and Technology, Bhilai, Chhattisgarh, 490024, India,   Associate Professor, ECE, Vel Tech Rangarajan Dr. Sagunthala RD Institute of Science and Technology, Chennai, Tamil Nadu, India,   Asst. Professor, Dept. of Artificial Inteligence and Data Science, Koneru Lakshmiah Education Foundation, vaddeswaram, Andhra pradesh, India,   Associate Professor, Dept. of ECE, Karpagam Institute of Technology, Coimbatore, TN, India,   IES Institute of Pharmacy, IES University, Bhopal, Madhya Pradesh 462044, India, Sikdar Prabha Rani , Raja C. , Waris Saiyed Faiayaz , .T Manoj Kumar , Bhopate Kiran
Published: July 2024

When it comes to hospital administration, patient care, and medical data analysis, the Healthcare Internet of Things (HIoT) is nothing short of a paradigm revolution. We dive into this new paradigm to examine its far-reaching effects and revolutionary possibilities in the healthcare system. The context is established by introducing HIoT as a game-changing development in healthcare. Using the IoT to network several devices, this model paves the way for real-time patient monitoring, streamlined inventory management, and integrated telemedicine. The healthcare industry as we know it will be transformed by HIoT as it strives to improve resource allocation, simplify operations, and provide proactive patient care. Our investigation includes a thorough appraisal of how HIoT will affect many facets of medical treatment. We use many research approaches and quality indicators for this evaluation. We may evaluate the viability and scalability of HIoT solutions by testing them in experimental settings that mimic real-world healthcare settings. To provide a precise depiction of the healthcare system, dataset environments use well maintained medical data sources. The performance and efficacy of HIoT technologies may be evaluated using measurable criteria such as sensitivity (0.94), specificity (0.89), F1-Score (0.91), ROC-AUC (0.95), and cost savings ($150,000). To determine the relative importance of each part of the HIoT ecosystem, researchers undertake ablation studies. Our findings provide a clear picture of the disruptive potential of HIoT. Better patient outcomes may be ensured via early interventions thanks to the improved accuracy (0.92), efficiency (9.2), and satisfaction (9.2) provided by the suggested HIoT technique for patient monitoring. When healthcare and telemedicine are combined, the success rate of remote consultations increases to 95%, response times decrease to 15 minutes, and more people have access to medical treatment.
Evidence of zoonotic rickettsiae in ixodid ticks of domestic animals in some communal farms in the Eastern Cape Province, South Africa
Authors: Adelabu Olusesan , Iweriebor Benson , Obi Chikwelu
Published: July 2024

Objective: The abundance of tick populations in South Africa represents a probable risk for both animal and human health. Rickettsia spp. and Borrelia spp. are well-known agents of emerging human tick-borne infectious diseases worldwide. Nevertheless, the epidemiology of their infec¬tions has been underreported in South Africa. Therefore, this study aimed to profile zoonotic Rickettsia and Borrelia species from ticks infesting domesticated animals in the Eastern Cape, South Africa.
Materials and Methods: Morphological and molecular identification techniques were conducted on 1,200 tick samples collected from domestic animals before screening for the target bacterial pathogens. The molecular identification of the tick samples was based on the amplification of the 12S rRNA mitochondrial Deoxyribonucleic acid. At the same time, those of Rickettsia and Borrelia species were carried out by amplifying fragments of gltA and ompB genes for Rickettsia and flaB gene for Borrelia spp. Thereafter, the positive amplicons for Rickettsia ompB were sequenced and further analyzed. Borrelia PCRs were negative; therefore, sequencing could not be performed.
Results: Eight species of ticks belonging to three genera; Rhipicephalus, Amblyomma, and Haemaphysalis, were identified. A total of 27% (320/1,200) samples were confirmed positive for Rickettsia, of which 23% (74/320) were positive for ompB genes. Phylogenetic analysis of ompB revealed a high homology to rickettsial reference strains from GenBank, with no positive result for Borrelia. The generated sequences showed homology with R. africae-KX227790 (100%), R. parkeri-KY113111 (99.8%), R. peacockii (99.3%), and R. slovaca-JX683122 (99.1%) representative sequences in GenBank.
Conclusion: The findings from this study revealed that ticks harbored Rickettsia species with possible zoonotic potential.
The utilization of pineapple hump extracts in complete feeds on the quality of free-board rabbit meat
Authors: Siregar Galih , Hardiyanti Rini , Hasanah Uswatun , Desnamrina Kennie , Saputra Ferdy , Brahmantiyo Bram
Published: July 2024

Objective: The study aimed to identify the effect of pineapple hump extracts in different doses on increasing the chemical and physical quality of rabbit meat.
Materials and Methods: The research stages were carried out with maintenance for two months using a completely randomized design consisting of four treatments and five replicates. P0 = complete ration without pineapple hump extract; P1 = complete ration with the addition of 0.2% pine¬apple hump extract; P2 = complete ration with the addition of 0.4% pineapple hump extract; and P3 = complete ration with the addition of 0.6% pineapple hump extract. The variables observed were the chemical quality of meat (pH, moisture, carbohydrate, fat, and protein content in rabbit meat), and the physical quality (water holding capacity (WHC), cooking loss).
Results: The data were analyzed using SAS, with significantly different results subjected to Duncan’s further testing. The addition of 0.4% pineapple hump extract in rabbit complete rations had a very significant effect on the WHC of 71.62%. The addition of 0.6% pineapple hump extract also had a significant effect on the protein content of meat, increasing it by 19.17%.
Conclusion: The effects of pineapple hump extract up to 0.6% in a complete diet of weaned rab¬bits have a positive effect on the physical and chemical quality of rabbit meat, especially on the protein and water-holding capacity of rabbit meat.
Advancement of animal and poultry nutrition: Harnessing the power of CRISPR-Cas genome editing technology
Authors: Mishu Mahbuba , Nath Sabuj , Sohidullah M , Hossain Md
Published: July 2024

CRISPR-associated proteins and clustered regularly interspaced short palindromic repeats (CRISPR-Cas) technology has emerged as a groundbreaking advancement in animal and poultry nutrition to improve feed conversion efficiency, enhance disease resistance, and improve the nutritional quality of animal products. Despite significant advancements, there is a research gap in the systematic understanding and comprehensive use of the CRISPR-Cas method in animal and poultry nutrition. The purpose of this study is to elucidate the latest advancements in animal and poultry nutrition through CRISPR-Cas genome editing technology, focusing on gene manipulation in metabolism, immunity, and growth. Following preferred reporting items in meta-analysis and systematic reviews guidelines, we conducted a systematic search using several databases, including Scopus, PubMed, and Web of Science, until May 2024, and finally, we included a total of 108 articles in this study. This article explores the use of the CRISPR-Cas system in the advancement of feed additives like probiotics and enzymes, which could reduce the use of antibiotics in animal production. Furthermore, the article discusses ethical and regulatory issues related to gene editing in animal and poultry nutrition, including concerns about animal welfare, food safety, and environmental impacts. Overall, the CRISPR-Cas system holds substantial promise to overcome the challenges in modern animal agriculture. By enriching the nutritional quality of animal products, increasing disease resistance, and improving feed efficiency, it offers sustainable and cost-effective solutions that can revolutionize animal and poultry nutrition
Aspek hukum pembuktian dalam kasus tindak pidana perdagangan orang
Authors: Harahap Lukman Hakim , Alrizky Muhammad Furqan , Lubis M. Ardhan Hakim , Alfarizi Dafa , Harahap Indra Naposo
Published: July 2024

Penelitian ini bertujuan untuk mengkaji aspek hukum pembuktian dalam penegakan hukum kasus kejahatan perdagangan orang di Indonesia. Tindak pidana perdagangan orang (TPPO) merupakan kejahatan antar negara (transnational crime) yang melanggar martabat manusia dan melanggar hak asasi manusia dengan menggunakan kekerasan, penipuan atau pemaksaan untuk mengendalikan orang lain dengan tujuan melakukan kejahatan yang bersifat dinamis. mengkomersialkan seks atau menawarkan pekerjaan atau layanan yang bertentangan dengan keinginan seseorang. Cara yang diterapkan pada pengendalian jenis ini adalah cara hukum normatif. Untuk itu penelitian ini fokus pada konstruksi dokumen hukum melalui pemanfaatan dokumen-dokumen yang berkaitan dengan hukum. Perdagangan Orang (TPPO) merupakan kejahatan antar negara yang melanggar harkat dan martabat manusia serta melanggar hak asasi manusia (HAM). Dalam tindak pidana perdagangan orang, proses pembuktiannya diatur dalam Pasal 29 sampai 40 UU TPPO. Alat bukti yang berharga dalam pengertian yang ditentukan dalam Pasal 184 KUHAP adalah keterangan saksi, keterangan ahli, surat, petunjuk, dan keterangan terdakwa.
The High Demanding Programming Language for Data Science-Python
Authors: Kumar*1, Mr.Alok , Kumar Sharma *2, Mr. Pradeep , Tyagi*3 Mr.Mohit Kumar
Published: July 2024

Python is a suitable language for both learning and real world programming. Python is a powerful high-level, object-oriented programming language created by Guido van Rossum. In this paper we first introduce you to the python programming characteristics and features. This paper also discusses about the reasons behind python being credited as the fastest growing programming language in the recent times supported by research done over the articles procured from various magazines and popular websites. This paper features about the characteristics and most important features of python language, the types of programming supported by python and its users and its applications. Key words: Python, Programming languages, Real world programming, Data, Flask, Django
FEMALE GENITAL MUTILATION IN INDIA: DIGGING RELIGIOUS ORIGINS OF THE PRACTICE
Authors: Dhoundiyal Bhavana Chandramani
Published: July 2024

This research paper is based on doctrinal study of the issue of female genital mutilation which is a discriminatory and form of gender-based violence inflicted on women and young girls at a very early age. It is practiced in many countries specially in African continent and India is a fresh talk of the town since 2017 after a write petition was filed by Advocate Sunita Tiwari criticising the prevalence of this practice in some concentrated part of India and its states. Although a minority community, but mutilating the body of a female is no less than crime for rituals, traditions or customs which has no identified sources of relevance in the world. Key words: Female Genital Mutilation, Human Rights, Women, Child, Law
ML-Based Online Transaction Fraud Detection
Authors: S L Sindhu , K M Sushmitha
Published: July 2024

This paper focuses on fraud detection and the measures necessary to fully automate this process, which has become crucial for banks. With fraud on the rise, it poses significant threats and can result in substantial damages to financial institutions. Transaction data presents unique challenges for fraud detection due to the lack of short-term processing capabilities. The primary objective is to conduct a feasibility study on the selected fraud detection methods. Using various models, we aim to test each transaction individually and proceed accordingly.Initially, we define the detection task, outlining the dataset attributes, metric choices, and techniques to manage unbalanced datasets. This analysis helps identify underlying patterns within the dataset, such as how cardholders' purchasing habits may evolve over time and how fraudsters may adapt their tactics. We then explore various methods used to derive sequential features from credit card transactions. Financial fraud, the practice of gaining financial benefits through deceitful and unlawful means, has become a significant threat to businesses and organizations. Despite numerous efforts to combat financial fraud, it continues to inflict substantial economic and societal harm, with daily losses reaching significant amounts. Traditional methods for fraud detection, introduced years ago, were predominantly manual, making them time- consuming, costly, and prone to errors. Although more research is being conducted, current approaches have not effectively reduced the financial losses associated with fraud. Conventional fraud detection methods, such as manual verifications and inspections, are inefficient, costly, and inaccurate. Keywords: Transaction data, cardholders' purchasing.
TF LITE BASED BLOOD CANCER CLASSIFICATION SYSTEM
Authors: K C VEERESH ,   DEPARTMENT OF MCA, BIET, DAVANGERE, S L SINDHU ,   DEPARTMENT OF MCA, BIET, DAVANGERE
Published: July 2024

Blood cancer, comprising various hematologic malignancies such as leukemia, lymphoma, and myeloma, presents significant diagnostic challenges that require precise and timely identification for effective treatment. The TF-Based Blood Cancer Classification System leverages the capabilities of TensorFlow (TF) to develop a robust, scalable, and accurate machine learning model for classifying different types of blood cancer from medical imaging and genetic data. This system integrates advanced deep learning techniques, including convolutional neural networks (CNNs) for image analysis and recurrent neural networks (RNNs) for genetic sequence analysis, to process and interpret complex biomedical data. The proposed system employs a comprehensive dataset containing labeled images and genetic profiles of various blood cancer types. Data preprocessing steps, such as normalization and augmentation, are applied to enhance model performance and generalization. The classification model is trained and validated using TensorFlow’s high- performance computing capabilities, achieving high accuracy and reliability in distinguishing between different blood cancer subtypes. Initial results demonstrate the system's potential to significantly improve diagnostic accuracy and speed, outperforming traditional diagnostic methods. This advancement not only aids healthcare professionals in making informed decisions but also contributes to personalized treatment strategies. The TF-Based Blood Cancer Classification System represents a significant step towards integrating artificial intelligence in medical diagnostics, offering promising prospects for improving patient outcomes in hematologic oncology. Keywords: Blood cancer, TensorFlow, machine learning, deep learning, convolutional neural networks, recurrent neural networks, medical imaging, genetic data, diagnostics, hematologic malignancies.
Colonization & Decomposition Pattern of Water Borne Conidial Fungi in Freshwater Stream of Central Himalaya
Authors: Arya Pratibha ,   Assistant Professor, Department of Botany, Government Degree College Talwari-Tharali, Chamoli-246482,  Uttarakhand.
Published: July 2024

In the freshwater streams the leaf litter substrate is colonized by early fungal colonizer and helps in decomposition of leaf litter and makes the substrate more suitable for the recruitment of late successional species. The study was carried out at Central Himalayan stream (Vinayak) to examine the colonization and decomposition pattern of Water Borne Conidial Fungi as all the streams are naturally subjected to great spatial and temporal variability, which is likely to affect the distribution and activity of organism in aquatic ecosystem. In this study nylon-mesh bags technique was used for the period of twelve months, using Angiospermic and Gymnospermic leaves as leaf litter substrate. Decomposition (weight loss) of different substrates in different months of submergence was analyzed statistically and was found that species number significantly affect the weight loss of tested leaf litter. KEY WORDS: Water Borne Conidial Fungi, Fresh Water Streams, Colonization, Decomposition.
The Application of Artificial Intelligence (AI) in Library and Information Centre
Authors: Biswas Goutam ,   Librarian, Nagar College, Nagar, Murshidabad , WB
Published: July 2024

Artificial intelligence has taken over many industries and is seen as a continuation of human intelligence. Artificial intelligence applications in libraries have revolutionized the information industry. Additionally, it has given modern libraries' development fresh life. It is believed that integrating artificial intelligence into library operations will open up new internet resources for libraries. Virtual reality, which engages users with libraries and improves information literacy abilities, is one of the valid innovations that librarians are constantly utilizing to engage and expand services for their patrons. It wouldn't be incorrect to argue that the development of the computer accelerated the process of digitization, much as the discovery of the wheel ushered in the mechanical age of human existence. Humans are the only animals with the innate ability to think for themselves. With the power of independent thought, humans have created a great deal of innovative technologies. One example of them is the development of the computer. The most significant development in computer technology that humans have made with the use of their intelligence is artificial intelligence. The goal of the computer science field of artificial intelligence is to build computers with human-like intelligence. Almost everywhere that computers are used, artificial intelligence is now being deployed. The need for this is growing daily, namely in the areas of science, health, automobiles, engineering, climates, business, pharmaceuticals, and academic libraries. AI must be used in libraries for both technical and library services purposes. The application of AI will expedite and improve the quality of work done in libraries, allowing them to offer a greater number of services with fewer staff members. KEYWORDS: Artificial Intelligence, Big Data, Internet of Things, Smart Library.
SEISMIC ANALYSIS OF RC FRAMED STRUCTURE CONSIDERING L-SHAPED SHEAR WALL AND HOLLOW CORE SHEAR WALL USING ETABS
Authors: Saxena Ms. Prashansa , Dehariya Ms. Anushka , Sharma Dr. Abhay
Published: July 2024

This paper conducts a seismic analysis of a 20- story RCC residential building with integrated shear walls, aiming to optimize their placement. Seven structural models were evaluated, exploring different placements of shear walls inside and outside the building envelope. Using the response spectrum method in ETABS software, the study analyzed the structure located in Zone III, with medium to stiff soil conditions. Key parameter assessed is story displacement. The findings reveal significant performance differences between conventional RCC structures and those with shear walls, showing enhanced resistance to shear forces and overall structural performance. Placing shear walls at interior center edges was found most effective, with corners also proving effective compared to interior placements. Optimal placement near the building core enhances resilience against seismic forces, emphasizing the critical role of strategic shear wall placement in fortifying buildings in earthquake-prone areas. Key Words: Shear wall, RC Framed Building, Dynamic Analysis, Response Spectrum Analysis, Comparative Analysis, ETABS Software.
Load Forecasting using ANN
Authors: Chaudhari Hitesh ,   Department of Electrical Engineering, RCOEM Nagpur
Published: July 2024

Accurate load forecasting plays a key role in economical use of energy. Artificial Neural Network (ANN) models have been extensively implemented to produce accurate results for short-term load forecasting with time lead ranging from an hour to a week. In this report daily peak load forecasting has been performed for the part of a town supplied by 2 distribution feeders on weekdays by taking into consideration the historical maximum Power consumption in MWH, Voltage in KV and Current in Amp data. Optimization of the network parameters is performed for both learning rules. Energy demand forecasting is of great importance in the management of power systems. In this report artificial neural network technique (ANN) is used for forecasting the load curve. Algorithms using these techniques have been programmed using MATLAB 15 and applied to the case study. The efficiency of both the model is determined from the load curve and the load is predicted as a testing sample. The ANN model trains the daily load data for a set of days and then forecast the load for next day. Actual data are obtained from "Mankapur Substation" is used to validate the result. Keywords: Load forecasting; Load demand; Power Quality; MATLAB; Load
A Study based on Agricultural Marketing Strategies
Authors: Chatterjee Dr. Dewali
Published: July 2024

Agriculture is the core part of Indian traditional practice. India is a country of diverse culture and Nature; verities of crops and fruits are grown in different parts of the country. The gift of Nature and the efficiency and business attitudes blend with agriculture open a new preface. ’Agro-based product businesses. Agro based product business can viable and truly possible where Nature supports. In case of India, the God gifted nature, diversified land form, water resources all are eventually support the agriculture and majority of population spend their livelihood by farming. Agro based business indicates the commercialization of agriculture in a systematic meaningful way. The farmers sell some commercial crops to some business house and the business house process the agricultural raw material as per the industry need. Rural people are highly associated with cultivation for their livelihood, but they are not getting high economic benefits from farming. This paper will highlight the need of proper agricultural marketing. This research paper will focus on the marketing strategies of agr0-based products. This paper will highlight the significance of efficient marketing strategies in agro based products to capture the market and gaining profit from market. (Key words: Agriculture, marketing strategies, digital, agricultural product)
DR. B.R AMBEDKAR’S VISION ON TRIBAL DEVELOPMENT- AN HISTORICAL OVERVIEW
Authors: VIMALA Mrs. R ,   ASSISTANT PROFESSOR VELS SCHOOL OF LAW  VELS Institute of Science and Technology and Advanced Studies
Published: July 2024

The contribution of Dr. B.R. Ambedkar to the growth of the tribal community is the main subject of the current historical study. The stealth of the Aryans forced the tribal community to retreat into the forest. They consequently lost their ability to handle life's obstacles. Indigenous communities were so thoroughly deprived and taken advantage of that they were unable to advance socially or intellectually. The community's hopes for economic and political advancement were thus buried and forced to live in the forest. Due to industrialization and globalisation, forests were cleared for development. As a result, interactions between the tribal communities and other social groups in the society were inevitable. It is significant to highlight that, despite their lack in certain areas, such as technology, education, and investment, the people of these tribal communities lead independent lives.Globalisation and industrialization caused forests to be cleared for development. It was therefore inevitable that the tribal communities would interact with other social groups within the society. It is important to emphasise that the residents of these tribal communities lead independent lives despite their lack of access to certain resources, including technology, education, and capital. Keywords: Globalisation, Indigenous, Tribal Community, Social Groups
CIMORY DAIRY LAND PRIGEN TOURIST DESTINATION WITH LEISURE PARK CONCEPT IN CATTLE FARMING IN PASURUAN
Authors: Hadi Bawa Mulyono
Published: July 2024

Cimory Dairy Land Prigen, located in Pasuruan Regency, East Java, carries the concept of a leisure park with a focus on cattle farming. This concept attracts various groups, ranging from families to tourists who are interested in the milk production process and farm life. This study aims to examine the application of the leisure park concept in Cimory Dairy Land Prigen, as well as its impact on visitor education and the local economy. This research also aims to identify development strategies that can increase the attractiveness and benefits of this destination. This research used a descriptive qualitative approach with data collection methods through in-depth interviews, direct observation, and document analysis. Interviews were conducted with managers, staff, and visitors, while observations were made to understand visitor interactions with existing facilities. Data were analyzed through reduction, presentation, and conclusion drawing to provide a comprehensive picture of the implementation of the leisure park concept in Cimory Dairy Land Prigen. The results showed that Cimory Dairy Land Prigen successfully implemented the leisure park concept well. This destination offers various educational and recreational activities such as farm tours, milking, and interaction with farm animals. Adequate infrastructure and supporting facilities such as restaurants and souvenir shops add to the convenience of visitors. The positive impact on the local economy is also evident from the support for micro, small and medium enterprises around the tourism area.
Integrating Economic Development, Innovation, and Environmental Performance for Sustainable Futures: Insights from a Global Study
Authors: Machado Roberta Hoffmann , Cavalheiro Everton Anger , Corrêa Érico Kunde , Kontz Leonardo Betemps
Published: July 2024

This study aims to investigate the complex interplay between GDP per capita, innovation index, and environmental performance across a comprehensive dataset comprising 102 countries spanning from 2008 to 2022. Utilizing descriptive statistics, cointegration tests, and Granger causality analysis, the research delves into the intricate relationships among these pivotal variables. The findings unveil significant long-term equilibrium relationships among environmental performance, innovation, and economic development. Furthermore, bidirectional causal links are discerned, indicating that enhancements in environmental performance stimulate innovation, and conversely, innovation influences environmental performance. Likewise, economic development exerts influence on both innovation and environmental performance. These insightful revelations underscore the multifaceted dynamics among economic growth, innovation, and sustainability, thereby underscoring the imperative for integrated approaches to foster sustainable development. The comprehension and harnessing of these interrelationships are paramount for crafting efficacious policies and strategic business initiatives geared towards steering humanity toward a more sustainable and prosperous future.