bluuebunny/crossref_metadata_2025 huggingface dataset:
MODIFYING THE FUNCTIONALITIES OF DIETARY FIBER IN FOODS BY VARIOUS PROCESSING METHODS
Authors:   ICAR-Indian Agricultural Research Institute, Amirtham D , Dahuja Anil ,   ICAR-Indian Agricultural Research Institute, Kumar P. Raj ,   Tamil Nadu Agricultural University, Praveen Shelly ,   ICAR-Indian Agricultural Research Institute
Published: July 2022

Dietary fiber is that part of plant material in the diet which is resistant to enzymatic digestion which includes cellulose, non-cellulosic polysaccharides such as hemicellulose, pectic substances, gums, mucilages and a non-carbohydrate component lignin. The diets rich in fiber such as cereals, nuts, fruits and vegetables have a positive effect on health since their consumption has been related to decreased incidence of several diseases. Dietary fiber can be used in various functional foods like bakery, drinks, beverages and meat products. Influence of different processing treatments (like extrusioncooking, canning, grinding, boiling, frying) alters the physico- chemical properties of dietary fiber and improves their functionality. An attempt has been made to compile the recent developments in the extraction, applications and functions of dietary fiber in different food products
COV-CARE AND CURE
Authors:   Shivaji University, Shivshant Patil Snehal , Ashok Patil Aishwarya , Uddhav Bhosale Ruchita , Keshav Avadoba Shailesh ,   Dr. J. J. Magdum college of Engineering, Jaysingpur
Published: July 2022

—To implement Cov-Care and Cure is a system for booking the rooms of covid centers through online. It provides the proper management tools and easy access to the Patient information. Today’s pandemic situation number of covid patients are increases day by day so in some hospital there are lack of beds rooms so covid centers was developed. here I develop small system which is online booking bed or rooms in covid center for covid patients.
AGRO-HELP A DYNAMIC WEB APPLICATION
Authors:   SDM Institute of Technology, T Gadiyar H Manoj , GS Dr Thyagaraju , SR Bharath , Keshu MS , A Billava Archana , N Anusha ,   SDM Institute of Technology
Published: July 2022

Agro-Help a Dynamic Web Application help farmers by providing various information related to farming like updated market price of crops, modern equipment and Government schemes. The proposed system helps any individual new to the field of agriculture by helping them in selecting right crop as according to their region.
A SURVEY ON NETWORK-BASED INTRUSION DETECTION SYSTEMS USING MACHINE LEARNING ALGORITHMS
Authors:   JAIN (Deemed-to-be University), Lama Amin , Savant Dr. Preeti ,   JAIN (Deemed-to-be University)
Published: July 2022

Network security is of central significance in the current information world. Due to the rapid increase of network-enabled devices, there is a significant risk of network intrusion more than ever. Hackers and intruders can successfully attack to cause the crash of the networks and web services by the unauthorized intrusion, which may cause a significant loss to an organization in terms of data and money. So, it is high time to create an intrusion detection system that can detect all types of intrusion. Due to the rapid growth and significant results of machine learning (ML) algorithms in several areas, there has recently been much interest in applying them to network security. The network-based intrusion detection system (NIDS) has much promise to be the borderline of defense against intrusions in the current information communication technology (ICT) era, and it's a critical aspect of network security. Due to the dynamic nature of attacks, intrusion detection datasets are available publicly. Intrusion detection systems are the backbone of the networks and data protection. Various IDS approaches have been used over time to achieve maximum detection accuracy. This paper investigates the different machine learning methods used to deploy network-based intrusion detection systems. This survey could give scholars a better grasp of present methodologies and help them find research possibilities and do further research in this area.
IOT SENSORS AND APPLICATION
Authors:   Uttaranchal University, Singh Kanwal Tarun , Bhatt Kavita ,   Uttaranchal University
Published: July 2022

As the Internet of Things (IoT) evolves as the next phase of the Internet's growth, it's becoming increasingly important to define the numerous possible areas for IoT applications, as well as the research issues connected with these applications. IoT is projected to penetrate practically every facet of daily life, from smart cities to health care, smart agriculture, logistics and retail, and even smart living and smart ecosystems. Despite the fact that current IoT enabling technologies have vastly improved in recent years, there are still a slew of issues that need to be addressed. Many research issues are sure to occur since the IoT idea is based on heterogeneous technology. The fact that the Internet of Things is so vast and influences nearly every aspect of our life complicates things.
DESIGN OF ADVANCED PSEUDO RANDOM DISCRETE TIME EVEN SYSTEM FOR FAULT DETECTION
Authors:   Hyderabad Institute of Technology and Management, Santhosh P , Vivek Purohit Dr. Rahul , Bindu Madhavi Kalasapati ,   Hyderabad Institute of Technology and Management
Published: July 2022

: In this paper, the design of advanced pseudo random discrete time even system for fault detection is implemented to increase the speed of the system. Here sufficient conditions are given to implement the estimator. Pseudo random multiple input signals are given to DES. The main intent of this pseudo random discrete time even system is to increase the speed and produce efficient result in terms of delay and area. The discrete time even system will take multiple signals and perform its operation. The adaptive MISO (multiple input and single output) controller will controls the speed of the system. Self-tuning regulator will tune the multiple inputs and give the single output. Hence, from pseudo random single output block, the output is obtained. Compared to the existed system, the pseudo random discrete time even system gives effective output.
INTERNET AND EDUCATION IN INDIA AMID COVID-19
Authors:   Shia P.G College, Lucknow, India, Maurya Shivangi
Published: July 2022

The COVID-19 pandemic brought drastic changes in lives across the globe. Be it work, family, lifestyle, or education, not a single aspect was left untouched by its effect. The complete inclusion of the internet in education has always remained a topic of discussion among experts and digital education was perceived as the future of the education sector. But, the sudden outbreak of COVID-19 resulted in an indefinite lockdown and brought a halt in our lives. The educational institutions were shut down in India and the whole education system relied upon internet technology. The objective of this paper is to explore the method adopted by education institutions to continue classes through the online mode and the challenges faced by both the teachers and students in adapting to the new face of education amid the lockdown. The study presented in this paper is descriptive and analytic in nature and to achieve the objective of this paper, the data has been collected from secondary sources like blogs, news articles, and journals. The findings have revealed that, though various initiatives have been taken, still there is a need to work on several factors to enhance the learning and teaching experience of the students and teachers respectively.
UNIVERSAL REAL-TIME STRATEGY GAME IN UNREAL ENGINE
Authors:   Dr. M.G.R Educational And Research Institute, S Sudharsan
Published: July 2022

-In the rapid growing field of game development and game design, the RTS genre of games continues to attract substantial number of gamers. RTS genre games not only provide entertainment for gamers but also the ability to yest and grow their real time application of tactical and logical decision-making skills. RTS games are lately very popular but a brief number of games are available with similar concepts. This reputation in the story line of the available games makes the long-term game play less desirable. The project intents to develop a spin-off RTS game with major emphasis on level design, gameplay mechanics, user interface development and resource management.
A STUDY ON SECURITY SERVICES AND THREATS IN CLOUD COMPUTING
Authors:   Gyan Ganga Institute of Technology Sciences, Kumar Sumit , Rai Prof. Dr.Preeti ,   Gyan Ganga Institute of Technology Sciences
Published: July 2022

Digitalization has infiltrated all sides of modern culture today. One of the most important aspects of making this procedure secure is authentication. Cyber criminals are putting in a lot of effort to break into existing network channels and launch destructive assaults. When it comes to businesses, information is a valuable resource. The question here is how to safeguard crucial information. This takes into account a variety of features of a society that is commonly referred to as hyper connected, such as online communication, purchasing, access rights control, and so on. We shall cover the ideas of MFA and KBA, or Multi-Factor Authentication and Knowledge Based Authentication, in this study article. The goal of MFA and KBA is to be utilised for human-to-machine interactions, providing an easy-to-use and secure validation mechanism while gaining access to the service. We will also look into the existing and evolving factor suppliers (sensors) that are used to authenticate a user in this study. This is a critical tool for safeguarding data against malicious insiders and outsiders. The basic purpose of access management is to give authorised users access to a service while simultaneously preventing unauthorised users from accessing it. To ensure access management, a variety of strategies can be used. In this paper, we will cover various strategies for ensuring enterprise-ready access management, with a particular emphasis on multifactor authentication. We'll also discuss how knowledge-based authentication fits into multi-factor authentication and how it may help businesses protect their data from cyber-attacks. Finally, we'll talk about the future of MFA and KBA.
SURVEY BASED ON THE ONLINE RAW MEAT DELIVERY AND ITS IMPACT ON THE DIGITAL MARKET POST PANDEMIC
Authors:   Jain University, Mishra Barsha , N Prof. Priya ,   Jain University
Published: July 2022

A large growing market now revolves around selling perishable products such as meat, including poultry and seafood. Virtually many/every kind of fresh meat has been available for customers or purchasers from online vendors, there is very little research that examines the handling, safe delivery that influences this unorganized sector [1]. The purpose of my paper revolves around analyzing the policies for delivering online raw meats by the purveyors of this product. And also, to emphasize the food safety data that are given on the websites of online sellers for this particular sector. Hence, I thought of this website that meets the need of the current Digital Market and is convenient to its users. "WOW SHOPPER" enables the user to browse the range of products along with information about the product's specifications, features, and prices. The digital environment has a growing effect on consumers' minds and buying behavior, this is what makes our website feasible to the current scenario.
FAST DISSOLVING ORAL DISINTEGRATING FILMS OF VALSARTAN
Authors:   MES’s College of Pharmacy, J A Patel , A B Prof. Katarnaware ,   MES’s College of Pharmacy
Published: July 2022

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CONDITIONAL DISCHARGE FLIPFLOP
Authors:   RV Collgege of Engineering, Teggi Namrata , V Dr.Kiran ,   RV Collgege of Engineering
Published: July 2022

In this paper, high-performance flip-flops are classified into two categories: the conditional precharge and the conditional capture technologies. This classification is mainly done to reduce the switching activities. Here a flip-flop is introduced that is the conditional discharge flipflop. It is based on the conditional discharge technology. This CDFF will reduce the switching activities and produces less glitches at the output.
SMART MIRROR WITH ALEXA USING RASPBERRY PI
Authors:   JSSATEB, Kumar Swamy Dr. PM Shiva , S Aditya , S Ammanagi Ashish , Reddy G Hemanth , S Aradhya Jeevan ,   JSSATEB
Published: July 2022

This world has been changed with the internet coming into existence where every person holds a smart device and this has become a necessary part in day to day activity. Time is very precious, so people do not waste any time on unnecessary thing. There are indefinite ways to make every object smarter every day. We can consider mirrors which provide a greater surface area which can be the perfect area for displaying information and interacting with it. Every home will definitely have a mirror which can be upgraded to a smart mirror. The smart mirror will have a display screen inside and you would be able to interact with the mirror. The main features would be date, weather, news, holidays, events, home automation, Alexa.
STUDY ON THE APPLICATION OF ION CHROMATOGRAPHY FOR ANALYSIS AND PURIFICATION
Authors:   Ramniranjan jhunjhunwala college, Rani Yadav
Published: July 2022

: There are several methods for analysis eg: G.C, HPLC, wet chemical method, enzyme method but ion chromatography becoming the method of choice. It is a well-stable technique for the determination of ions in solution. IC is used in many fields for the determination of ions in solution. because of its high sensitivity of the technique, coupled with the wide dynamic operation range made possible with the modern high capacity stationary phase makes it deal for the analysis of ion in pharmaceutical and drug with the help of ic. The global beverage industry is growing each year with the introduction of new products such as vitamins, fortified water, energy drink, herbal nutrient supplement because of which come many more analytical challenges. These challenges are compounded by continuing new needs to analyze classics and favorites such as sodas, fruits, milk, drinks, alcoholic beverages, and bottled water. This review article provides an overview of the relevant application and focusing on works published in the past year. this topic has been well covered in several books and reviews.
IOT BASED PATIENT MANAGEMENT SYSYTEM
Authors:   SECAB Institute of Engineering and Technology, Pattewale Bibikhuteja , Dakhani Mujamil ,   SECAB Institute of Engineering and Technology
Published: July 2022

— Identification of patients while on medication plays a crucial role. It’s observed on many instances that a mistaken identity leads to severe consequences causing irreversible losses in terms of health and resources. With the advent of contagious ailments such asCoVid-19 this challenge appears to be more intriguing. We have seen that many people were deprived of knowing correct status of health of their dear ones due to huge confusion in patient management system at our health centers. This project tries to address this anomaly by automating the patient identification and management by employing techniques of contactless tags worn around wrists of patients removing human errors that may be caused by wrong entries in existing patient management systems. It also provides timely health status to the attendant.
INTERNET OF THINGS FOR INDUSTRIAL WORKSPACE AND 4 OTHER FIELDS-KEY TECHNOLOGIES AND APPLICATIONS
Authors:   King Abdullah University of Science and technology, Bander Al Rayaan Mohammed , Abdullah H Alshehri Mohammed ,   King Abdullah University of Science and technology
Published: July 2022

— IoT along with sensors holds a great potential for providing cutting edge solutions for innovative services in. Assistive technology for disabled, Independent living for Elderly, Industrial workspace, Mobility and Automotive Industry. In a typical IoT based system, smart sensor nodes or devices collect large amount of data for processing, and communicate with each other using transmission link for exchange of data and providing innovative services. In context to the current stance of IoT, IoT evolution, different technologies and applications of IoT for these domains are systematically accessed in this paper using the published literature. After the rigorous review, challenges that exist in the domains are also highlighted along with future direction for the researchers to evaluate current standing of IoT and to improve or contribute to these applications.
WASTE MANAGEMENT SITES - REDUCE, REUSE, AND RECYCLE (TPS3R) CONSTRUCTION STUDY IN SEKANAK AREA, PALEMBANG CITY
Authors:   Atma Jaya Catholic University of Indonesia, . Ramadhani , Iskandar Isdaryanto ,   Atma Jaya Catholic University of Indonesia
Published: July 2022

In Palembang, one of Indonesia's major municipalities, there were several challenges with the solid waste management system, notably in families. Adopting the 3R strategy to reduce waste production is one way to address the waste problem in Palembang (reuse, reduce, recycle). The Reduce-Reuse-Recycle Waste Management Site, or TPS3R, is located in Indonesia. It follows a pattern of waste management on a local or regional scale. One of the numerous tributaries of the Musi River, a significant river in this city that passes through Palembang, is the Sekanak River. The accumulation of waste in the drainage channel and its tributaries is one of the factors contributing to the decline in river water quality. Near the center of the city, the Sekanak region extends along the river's about 10-meter-wide course. Due to the fact that many residents who live close to rivers neglect waste management, the quality of the river water is damaged. It is projected that the TPS3R construction will be able to address the waste issue in the Sekanak area by looking at social, technological, and TPS3R feasibility development factors. The approach of the feasibility study is made up of the stages of work activities, preparatory activities, field surveys, data collection, analytical activities, and activity plan recommendations. The total investment cost for the 15 m × 20 m facility that makes up TPS3R is IDR 290,824,000. The cost of building the infrastructure and purchasing the equipment are included in this amount. Over the course of four days, the weight of organic waste per person per day ranged from 259.60 to 395.07 grams, with an average of 307.12 grams, whereas the weight of non-organic trash per day ranged from 114.02 to 188.85 grams. Average daily intake is 149.34 grams per person
REVIEW OF UPPER LIMB MOTION ASSESSMENT IN NEUROREHABILITATION
Authors:   Ulster University, Belfast, UK, Bai Lu
Published: July 2022

It is of importance to monitor and assess the upper limb motion for patients who are under Neurorehabilitation. Traditionally, scale based methods were commonly used in daily clinic, however, these scale based methods were subjective. With the development of the sensing techniques and advancement of the computational algorithms, a number of new technologies and algorithms have been developed to determine the upper limb motion objectively. This paper provides a overview of the different methods and sensing systems involved in upper limb motion assessment in Neurorehabilitation. The results from this review may help the clinicians with the selection of the appropriate methods for upper limb motion assessment for patients under Neurorehabilitation.
EFFECTIVITY OF DIGITIZED HEALTH INFORMATION CARD
Authors:   Cebu Technological University, Galang Ludi Mae , Lorence Galban Emery , Mariel Lao Nikkie , Grace Moya Mary ,   Cebu Technological University, Castilla Delfa ,   Cebu Technological University, L. Vasquez Roel ,   Cebu Technological University
Published: July 2022

With the emergence of new Coronavirus Disease (COVID-19) variants, the COVID-19 pandemic remained a global concern. As a result, the constant need to improve efficiency and credibility while preserving safety measures is of utmost priority. Going paperless is a great way to control the pandemic, and Quick Response (QR) code is an effective way to promote paperless transactions. The researchers incorporated the QR Code and Google Form into the Digitized Health Information Card. The researchers then assessed the QR Code’s effectiveness based on its accessibility, convenience, and the difference between the satisfaction of using digitized health information cards and manual writing. The researchers used SoGoSurvey forms called Product Evaluation and Overall Satisfaction Survey to measure the satisfaction and effectiveness rate of the Digitized Health Information Card. The researchers also used weighted mean to identify its effectiveness using 50 students as respondents who filled out the Google Forms posted on the Facebook page. Based on the data, positive feedback on the accessibility and convenience of using Quick Response code had been interpreted as accessible and very convenient. The findings show that the respondents were very satisfied with filling out digitized health information forms while somewhat unsatisfied with writing manually. As a result of the significant difference, the Quick Response Code is more effective in student welfare.
SAFETY OF WOMEN AND GIRLS AGAINST VIOLENCE AND SEXUAL HARASSMENT IN PUBLIC SPACES IN CHITUNGWIZA, HARARE, ZIMBABWE
Authors:   National University of Science and Technology, Muyambo Blessing , Audrey Chamisa, Judith , Alfred Mavondo Greanious ,   National University of Science and Technology
Published: July 2022

Introduction: No one should be subjected to any form of violence publicly or privately. The level of Gender Based Violence (GBV) in Zimbabwe remains high and a barrier to women’s active participation in development. At least >68% of women in the Sothern African Development Community have experienced some form of GBV during their life time. The research aimed at promoting full recognition, realization and protection of the rights of women and girls against all forms of gender-based violence and threats, by advocating for women friendly and safe community environments. Methods: Simple random sampling was used to administer the questionnaires to women and girls, boys and men in the community. Cluster sampling by age and gender was employed first and followed by a random selection within the clusters for focus group participants. Purposive sampling was also used. Focus group discussions, key informant interviews, structured interviews and observation were utilised. Results: Women and girls experienced physical, sexual, psychological and verbal abuse violence in public spaces. Public spaces included bus termini/ ranks, aboard public transport, at market places, shopping centres, beer halls, at stadiums, in the streets and along bushy pathways in and around the communities. Female respondents were harassed without recourse although acutely aware of procedures of reporting cases of violence to the police. Most women experienced police stations as being far away. Normally, authorities did nothing to the perpetrators of domestic violence. Conclusion: Ensuring women and girls safety in public spaces was recommended as government priority area. Streetlights erection, provision of running water in homes, more public toilets construction, establishment of viable reporting mechanisms for violence and sexual harassment were needed. Women wanted law enforcers and local service providers trained on gender sensitivity and taking reported cases seriously. Guarantying the exercise of right freedom of movement, permitting women to carry out their activities without fear is needed.
KAJIAN LINGKUNGAN HIDUP STRATEGIS (KLHS) DI KAWASAN PESISIR KOTA CIREBON
Authors: Genovan Yogi , Sutrisno Endang , Kartina Ratu Mawar , Rahman Alip
Published: July 2022

Kawasan Pesisir Kota Cirebon harus mampu dicegah untuk terjadinya kerusakan lingkungan, dan melalui kebijakan Kajian Lingkungan Hidup Strategis diharapkan dapat menjadi pendorong dalam upaya-upaya membangun lingkungan menjadi lebih baik dengan kebijakan, rencana dan program yang dapat menjadi solusi untuk pencegahan kerusakan lingkungan, permasalahan yang timbul yaitu implementasi kebijakan Kajian Lingkungan Hidup Strategis serta peran Pemerintah Daerah untuk mewujudkan taraf perbaikan lingkungan hidup yang baik, dengan metode penelitian yuridis empiris menganalisis ketentuan aturan hukum dalam produk peraturan tertulis dan penerapannya di masyarakat. Kajian Lingkungan Hidup Strategis di kawasan pesisir Kota Cirebon tercantum dalam berbagai aturan di tingkat lokalitas, hanya tidak membahas secara detail tentang penerapan lingkungan hidup di Kawasan Pesisir Kota Cirebon serta kesadaran hukum masyarakat menjadi persoalan tersendiri untuk merumuskan dan membangun lingkungan hidup yang baik, hal ini sangat dibutuhkan mengingat peran Pemerintah Daerah melalui kebijakan, perencanaan serta program-program berbasis go green untuk Kawasan Pesisir Kota Cirebon, tetap harus mengikutsertakan keterlibatan masyarakat secara genuine sebagai faktor penting dalam membangun lingkungan hidup. Titik berat kebijakan Kajian Lingkungan Hidup Strategis diharapkan dapat membantu memperbaiki kondisi kawasan pantai Kota Cirebon sehingga tercipta lingkungan yang hijau untuk mewujudkan kesejahteraan masyarakat.
PENGEMBANGAN METODE CURAH GAGASAN DENGAN MEDIA FACEBOOK DALAM PEMBELAJARAN MENULIS PUISI PADA SISWA KELAS X SMA NU JUNTINYUAT
Authors: Wahyuddin Okhy Arief , Rozak Abdul , Mascita Dede Endang
Published: July 2022

Penelitian ini bertujuan untuk menyusun langkah pengembangan metode Curah Gagasan Dengan Media Facebook dalam Pembelajaran Menulis Puisi pada Siswa Kelas X SMA NU Juntinyuat. Sehubungan dengan hal tersebut peneliti mengkaji hasil menulis puisi siswa, selanjutnya dikaji berdasarkan kesesuaian puisi dengan tema atau masalah yang disajikan, ketepatan diksi, dan kemampuan menggunakan majas untuk dapat dimanfaatkan sebagai pembelajaran bahasa Indonesia di SMA. Penelitian ini menggunakan metode penelitian dan pengembangan Dick and Carry yang menggunakan istilah ADDIE (Analysis, Design, Development, Implementation, and Evaluation). Dengan demikian, metode penelitian yang digunakan mengacu pada istilah yang digunakan oleh Dick and Carry yaitu ADDIE (Analysis, Design, Development, Implementation, and Evaluation). Dalam penelitian ini pada tahap pertama mengumpulkan dan menganalisis data kualitatif dalam menjawab rumusan masalah pertama dan kedua, yaitu bagaimana pembelajaran menulis puisi menggunakan metode curah gagasan yang dikembangkan melalui media facebook dan bagaimana implementasi pengembangan metode curah gagasan melalui media facebook dalam pembelajaran menulis puisi. Berdasarkan telaah keseluruhan hasil penilaian validasi oleh validator yang dilakukan, hasil dari validasi tersebut menunjukan bahwa hasil penilaian dari beberapa aspek aspek masuk dalam rentan nilai X > 89.4 (validator 1) dan X> 92 (validator 2) sehingga tingkat kelayakan metode berdasarkan validasi oleh masuk kedalam kategori layak.
PENGEMBANGAN BAHAN AJAR TEKS DESKRIPSI DIGITAL MENGGUNAKAN APLIKASI KVISOFT FLIPBOOK MAKER UNTUK SISWA KELAS VII DI SMP
Authors: Ekawati Dian , Gloriani Yusida , Mascita Dede Endang
Published: July 2022

Tujuan dari penelitian ini adalah untuk menjelaskan desain bahan ajar teks deskripsi digital menggunakan apliksi Kvisoft Flipbook Maker untuk siswa kelas VII SMP, menjelaskan kelayakan bahan ajar teks deskripsi digital menggunakan aplikasi Kvisoft Flipbook Maker untuk siswa kelas VII SMP, dan menjelaskan hasil implementasi bahan ajar teks deskripsi digital menggunakan apliksi Kvisoft Flipbook Maker untuk siswa kelas VII SMP. Metode yang digunakan adalah metode penelitian dan pengembangan. Penelitian ini menggunakan ADDIE yang terdiri dari lima langkah yaitu analisis, perancangan, pengembangan, implementasi, dan evaluasi. Produk pengembangan penelitian ini adalah bahan ajar teks deskripsi digital. Penelitian diawali dengan analisis kurikulum atau materi, dan analisis kebutuhan siswa terhadap bahan ajar teks deskripsi digital. Dari penelitian ini, bahan ajar teks deskripsi digital dikembangkan melalui validasi ahli, meliputi ahli bahasa Indonesia dan ahli media digital. Hasil penelitian menunjukan desain bahan ajar teks deskripsi digital menggunakan aplikasi Aplikasi Kvisoft Flipbook Maker memiliki struktur e-modul yang terdiri dari; 1) Cover e-modul, 2) Kata Pengantar, 3) Daftar Isi dan peta kedudukan, 4) Bab I Pendahuluan (Kompetensi Isi dan Kompetensi Dasar, deskripsi, prasyarat, petunjuk penggunaan e-modul, tujuan akhir, indikator keberhasilan, dan cek kemampuan), 5) Bab II Pembelajaran (kegiatan pembelajaran I dan II), 6) Bab III Penutup (tes formatif dan soal evaluasi), dan 7) Daftar Pustaka. Bahan ajar teks deskripsi menggunakan aplikasi Aplikasi Kvisoft Flipbook Maker dapat dikatakan layak, karena hasil validasi bahan ajar E-Modul tersebut menunjukan validasi ukuran E-Modul untuk materi teks deskripsi memiliki kriteria sangat baik. Hasil implementasi bahan ajar teks deskripsi menggunakan aplikasi Aplikasi Kvisoft Flipbook Maker menunjukan ada perbedaan rata-rata antara hasil Pre Test dengan Post Test yang artinya terdapat pengaruh implementasi bahan ajar e-modul teks deskripsi menggunakan Aplikasi Kvisoft Flipbook Maker terhadap hasil belajar siswa.
Pengaruh Penggunaan Media Gambar Seri Terhadap Kemampuan Menulis Teks Fabel Pada Siswa Kelas VII SMP Islam Al- Falah Kota Jambi
Authors: Alifia Salsabilla , Warni Warni , Salim Agus
Published: July 2022

Penelitian ini memiliki tujuan untuk mendeskripsikan pengaruh penggunaan media gambar seri dalam pembelajaran menulis teks fabel kelas VII SMP Islam Al-Falah Kota Jambi yang dilihat dari bentuk kemampuan pengetahuan siswa dan juga faktor internal yang mempengaruhi pembelajaran. Penelitian ini memakai metode kuantitatif jenis eksperimen, dengan model penelitian menggunakan quasi eksperimental. Subjek dalam penelitian ini yakni peserta didik kelas VII.2 yang memiliki peran sebagai kelas eksperimen dengan siswa berjumlah 13 orang dan siswa kelas VII.4 yang memiliki peran sebagai kelas kontrol yang dengan siswa berjumlah 13 orang juga yang dipilih dengan menerapkan teknik Purposive Sampling. Subjek dalam penelitian ialah peserta didik SMP Islam Al-Falah Kota Jambi. Metode pengumpulan data: lembar tes, observasi, dan dokumentasi. Pada penelitian ini kemampuan menulis teks fabel pada siswa menunjukkan hasil posttest kelas eksperimen lebih tinggi dibandingkan posttest kelas kontrol. Hal ini berlandaskan tinjauan rata-rata dari nilai posttest kelas kontrol yaitu sebesar15,00, sedangkan rata-rata dari nilai posttest kelas kontrol hanya sebesar 13,07. Setelah dilakukan uji analisis data dan juga uji hipotesis dengan bantuan program SPSS 25, terlihat ada pengaruh positif terhadap penggunaan media gambar berseri yaitu pada uji t diperoleh Sig. 0,000<0,05 atau dengan kata lain Ho ditolak dan Ha diterima.
Transglossic Language Practice of Generation Z on Instagram in Indonesia
Authors: Lestarina Anggi Purwa
Published: July 2022

The research investigated how Indonesia's generation Z used social media to practice their language. The way ideology was constructed in linguistic variations and underlying the language in the online context. The paper's goal was to comprehend sociolinguistic dynamics by looking at the scientific reasons for youth language use and to raise awareness about language and social conditions of generation Z. According to the Tranglossic framework as propounded by Sultana et al. (2015) for an in-depth understanding of contextual (physical location and participants), pretextual (historical trajectory texts), subtextual (ideologies mobilized by the text), intertextual (meanings that occur across texts), post textual interpretation of the data (the way texts are read, interpreted, resisted, and appropriated) and interview conducted to two accounts of Instagram users. As a result, generation Z was the creative speakers and critical thinker in social media because they built the ability of complex encoding. The complex encoding was related to their social attribution in detail of affiliation with a certain community, regional identity, national identity, a desire as the part of a world citizen, religion, popular culture, and education.
The Use Of Hybrid Teaching To Teach English In Vocational High School
Authors: Rahmaniah Fathyah
Published: July 2022

This paper describes the implementation of Hybrid Teaching which has just been applied to Vocational High School students in Yogyakarta. This paper also explains how the Hybrid teaching system is a combination of online learning and face-to-face learning. To explain further, in this paper there are two comparisons between Hybrid Teaching and Online Teaching where the two teaching methods are related to each other. The comparison includes the advantages and disadvantages of the two teaching methods, both in terms of material and the impact of the two teaching methods.
THE COLONIAL HISTORY OF TROPHY HUNTING AND THE PRESENT LEGAL REGIME PROHIBITING TROPHY HUNTING IN INDIA
Authors: Athar Syed Mujtaba
Published: July 2022

The recent joint position paper by 137 animal right groups to prohibit Trophy Hunting has renewed the debate around the tradition of the trophy hunting and its colonial past. The tradition of trophy hunting as different from the hunting traditions of the natives has been demonstrated by giving the examples from India. The paper further discusses the formation of rules of hunting that originated in Europe and surmounted in the colonies of the East. These rules asserted the colonizers supremacy and superiority over the colonized. By giving example from the India, the article shows that most of these rules were framed as a knee-jerk reaction to conserve the diminishing game population. After the independence, initiatives were taken by Indian Government to restore the irreparable lost caused to the ecology. The recent joint position paper must lead the European and US government to implement strict laws prohibiting trophy import.
A Multi Objective Evolutionary Algorithm based on Decomposition for a Flow Shop Scheduling Problem in the Context of Industry 4.0
Authors: Rossit Diego Gabriel , Nesmachnow Sergio , Rossit Daniel Alejandro
Published: July 2022

Under the novel paradigm of Industry 4.0, missing operations have arisen as a result of the increasingly customization of the industrial products in which customers have an extended control over the characteristics of the final products. As a result, this has completely modified the scheduling and planning management of jobs in modern factories. As a contribution in this area, this article presents a multi objective evolutionary approach based on decomposition for efficiently addressing the multi objective flow shop problem with missing operations, a relevant problem in modern industry. Tests performed over a representative set of instances show the competitiveness of the proposed approach when compared with other baseline metaheuristics.
Urban Agriculture 5.0: An Exploratory Approach to the Food System in a Super Smart Society
Authors: Ferreira Anna Carolina Dall’Aneze , Titotto Silvia Lenyra Meirelles Campos , Akkari Alessandra Cristina Santos
Published: July 2022

Society 5.0 aims to promote quality of life and well-being of citizens, reducing inequalities and promoting sustainability with the support of technologies 4.0. Therefore, redesigning value chains to bring social, economic, and environmental gains becomes of particular interest in alignment with a new model of a people-centric super-smart society. This paper aimed to outline a conceptual design of urban agriculture (UA) 5.0 by applying a three-phase methodology supported by data triangulation. A relationship between Industry 4.0, food system, and sustainable society was identified, encompassing many points of convergence between UA and Industry 4.0 (35) as well as Society 5.0 (43). As a result, this paper proposed UA 5.0 as a multifaceted concept that brings a new paradigm for systemic agriculture integrated in cities, considering six key dimensions for its development (spatial, social, technological, economic, sustainability, and systems integration). This exploratory study contributes to in-depth discussions, and new strategies among policy makers for building a more resilient urban food system as an embedded solution in smart cities. The results discussed also outline a basis for developing super smart food system industries by exploring each of the dimensions proposed in this paper.
Reliability and Resource Allocation and Recovery of Urban Transportation System Considering the Virus Transmission
Authors: Tao Yumeng , Dui Hongyan
Published: July 2022

The urban transport system is an integral part of a city and is essential for the proper functioning of other urban functional systems. To improve the resilience of urban transport systems under the background of the spreading COVID-19 epidemic, this paper predicts the number of patients of various types at each stage of epidemic development based on an improved infectious disease model for Wuhan and verifies the validity of the model using statistical methods. Then, a system reliability model is developed from the perspective of controlling the spread of the virus and reducing economic losses, and the optimal time points for urban traffic closure and recovery are determined. Finally, a resource allocation optimization model was developed to determine the number and location of resource allocation points which based on 19 hospitals to avoid the further spread of the virus. The results give a valuable reference for enhancing the resilience of urban transport systems and improving their performance in all phases.
Design of Solar Photovoltaic Based Portable Water Filter
Authors: Hasan Mashhood , Alhazmi Waleed Hassan , Zakri Waleed , Khan Anwar Ulla
Published: July 2022

In this work, a hardware model of solar photovoltaic system-based water filter is designed to support the Qatrah program of Kingdom of Saudi Arabia. A solar photovoltaic system provides active energy to charge the battery of 24 Volt via dc to dc boost converter (step-up converter) and battery energy is used to run the dc pump of water filter in remote areas. A boost converter increases the input voltage level of solar panel upto 25 Volt fix to run the dc motor of solar pump and at same time it charges the batteries in sun light. The boost converter switch is pulsed at maximum output power of solar. It is extracted using maximum power point tracking (MPPT) system. An Arduino Nano microcontroller is used to extract the pulse of dc to dc boost converter at MPPT of solar photovoltaic system.
Study of Dynamical Behavior of a Delayed Stage-Structured Predator-Prey Model with Disease in Prey
Authors: Das Debashis , Chakraborty Sarbani
Published: July 2022

The present paper deals with the dynamics of a stage-structured predator-prey model, with a ratio-dependent functional response including gestational delay in the predator. The prey is carrying an infection which affects the predator adversely. The boundedness of solutions and the stability of equilibrium points have been investigated. There is a Hopf-bifurcation arising out of the variation in the time-delay parameter. Numerical simulations of phase-plane diagrams, and bifurcation diagrams illustrate the dependence of the system on the delay -time. The effect of the disease transmission from prey to predator has also been illustrated through simulations.
A Blockchain IoT (BIoT) Integrated into Futuristic Networking for Industry
Authors: Ahamed N. Nasurudeen , Vignesh R.
Published: July 2022

Blockchain innovation is the most confided in across the board cryptosystem that gives a structure to getting exchanges over networks because of its irreversibility and permanence attributes. Blockchain organization, as a decentralized framework, has drawn the consideration of different new companies, managers, and designers. Web of Things (IoT) has been the primary empowering agent of the transformation. Hence, blockchain can fill in as a decent establishment for applications dependent on exchanges and cooperation. IoT executions and purpose are by describe disseminated. This implies blockchain can assist with settling a large portion of the defense weaknesses and detectability worries of IoTs by utilizing blockchain as a record that can monitor how gadgets cooperate, in which state they are and how they execute with other IoT gadgets. IoT relevance has been primarily carried out with advancements in Container Deployment Method (Docker). Blockchain IoT (BIoT) applications are additionally investigated, and a few important answers for work on the adaptability and throughput of such applications are proposed. blockchain and IoT must address for them to effectively cooperate. We have distinguished the central issues where blockchain innovation can help further develop IoT applications. An assessment has likewise been given to demonstrate the attainability of utilizing blockchain hubs on IoT gadgets. This paper section furnishes mixed plans surveys and observes structures for BIoT applications. Blockchain can provide a decent establishment for operations dependent on exchanges and collaborations. IoT executions and functions are by definition circulated. This implies blockchain can assist with tackling the vast majority of the care, weaknesses, and discernibility worries of IoTs by utilizing blockchain as a record that can monitor how gadgets collaborate, and in which way to execute with other IoT gadgets. IoT applications have been fundamentally executed with advances, for example, cloud and haze registering. That means how we implement BIoT in a few futuristic networks. BIoT coordination in Docker Deploy Container, Food Sector (Supply Chain Management), Industrial Cloud, Fog Computing, and Hybrid Computing.
Advertising and Pricing Policies for a Diffusion Model Incorporating Price Sensitive Potential Market in Segment Specific Environment
Authors: Kumar Pradeep , Chaudhary Kuldeep , Kumar Vijay , Singh V. B.
Published: July 2022

This paper suggests an optimal control formulation of a diffusion model to determine the optimal advertising and pricing policy for a new product in segmented market involving price dependent market potential where total potential market is a decreasing function of price. We assume that sales rate is proportional to the number of adopters and evolved under the joint effect of a single advertising channel and segment specific advertising process that affect sales rate in unsaturated market. Single channel advertising with a fixed spectrum is available for each segment in whole market while segment specific advertising process can reach each target segment individually. The optimal dynamic price and advertising policies are obtained by applying Pontryagin’s maximum principle. Finally, numerical examples of two cases for a discrete version of the proposed control problem are provided to illustrate the efficacy of the proposed method
Machine Learning for Prediction of Clinical Appointment No-Shows
Authors: Joseph Jeffin , Senith S. , Kirubaraj A. Alfred , Ramson S. R. Jino
Published: July 2022

A no-show occurs when patient misses his appointment for visiting doctor in an outpatient clinic. No-shows result in inefficiencies in scheduling, capacity wastage and discontinuity in care. The study aims to develop and compare different models for predicting appointment no-shows in a hospital. The no-show estimation was made using five algorithms including Logistic Regression, Decision Tree Classifier, Random Forest, Linear Support Vector Machine and Gradient Boosting. The performance of each model is measured in terms of accuracy, specificity, precision, recall and F measure. The receiver operating characteristic curve and the precision-recall curve are obtained as further performance indicators. The result shows gradient boosting is more evident in giving consistent performance. The categorical variables used for prediction are gender, mapped age, appointment type, previous no-shows, number of previous no-shows, appointment weekday, waiting interval days, scholarship, hypertension, diabetes, alcoholism, handicap and SMS received.
Examining Systemic Risk using Google PageRank Algorithm: An Application to Indian Non-Bank Financial Companies (NBFCs) Crisis
Authors: Chaturvedi Anurag , Singh Archana
Published: July 2022

In the recent financial crises, attention has shifted towards "too-central-to-fail" to recognize the sources of systemic risk. The NBFC Crisis of 2018-19 adversely affected other financial institutions and the real economy of India. The NBFCs crisis highlighted the role of smaller institutions in perpetuating and amplifying the crisis. Thus, the present study models the interconnection of NBFCs with the rest of financial institutions using a complex Granger-causality network based on returns data. The PageRank algorithm identifies the central and important nodes and ranks financial institutions in pre-crisis and crisis periods. The financial institutions are also ranked based on the maximum percentage loss suffered during the crises. Using non-parametric rank-based regression, the PageRank ranking of financial institutions in the pre-crises period (explanatory variable) is regressed with the ranking of financial institutions based on maximum percentage loss suffered by them during the crises period (dependent variable) along with Leverage and Size as control variables. We found that PageRank from pre-crisis can significantly identify most financial institutions that suffered loss during NBFCs crises even in the presence of control variables.
Solving Fuzzy Fractional Assignment Problem using Genetic Approach
Authors: Buvaneshwari T. K. , Anuradha D.
Published: July 2022

This manuscript highlights solving the fractional assignment problems (FAP) with parameters as triangular fuzzy numbers. The following is an explanation of the key contribution of the planned study. FAP is an AP with the ratio of objective functions. Of these objective functions, one objective function is minimization whereas the other function is maximization. Now, the fuzzy FAP is changed into a deterministic problem using the α-cut of fuzzy linear membership function on each parameter and then solved using a genetic algorithm (GA) procedure. The procedure so obtained is solved to obtain the set of efficient/non-efficient solutions and the optimal compromise solution. A numerical example is illustrated to explore the efficiency of our proposed genetic approach. A comparative study has been done between the proposed approach and the genetic algorithm tool (Matlab). This approach assists the decision-makers (DM) in selecting a preferred solution based on their economic level.
Centimeter-Scale Curing Depths in Laser-Assisted 3D Printing of Photopolymers Enabled by Er3+ Upconversion and Green Light-Absorbing Photosensitizer
Authors: Zhakeyev Adilet , Marques-Hueso Jose
Published: July 2022

Photopolymer resins used in stereolithographic 3D printing are limited to penetration depths of less than 1 mm. Our approach explores the use of near-infrared (NIR) to visible upconversion (UC) emissions from lanthanide-based phosphors to initiate photopolymer crosslinking at a much higher depth. This concept relies on the use of invisibility windows and non-linear optical effects to achieve selective crosslinking in photopolymers. SLA resin formulation capable of absorbing light in the visible region (420–550 nm) was developed, in order to take advantage of efficient green-UC of Er3+/Yb3+ doped phosphor. NIR-green light UC shows versatility in enhancing curing depths in laser patterning. For instance, a structure with a curing depth of 11 ± 0.2 mm, cured width of 496 ± 5 µm and aspect ratios of over 22.2:1 in a single pass via NIR-green light UC. The penetration depth of the reported formulation approached 39 mm. Therefore, this technique would allow curing depths of up to 4 cm. Moreover, it was also demonstrated that this technique can initiate cross-linking directly at the focal point. This shows the potential of NIR-assisted UC as a low-cost method for direct laser writing in volume and 3D printing.