bluuebunny/crossref_metadata_2025 huggingface dataset:
La gamificación como estrategia didáctica para el fortalecimiento de la comunicación oral
Authors: Rea Iza Bertha Liliana , Caizapanta Puruncaja Geovanny Cristoval , Guamán Garcés Calixto Gilberto , Pardo Sarango Indira Gisell
Published: June 2024

La presente investigación tuvo como objetivo utilizar la gamificación como estrategia didáctica para el fortalecimiento de la comunicación oral de los estudiantes de Bachillerato General Unificado. El enfoque de investigación es cualitativo ya que se recogieron datos mediante una entrevista a tres docentes del área de Lengua y Literatura de la Unidad Educativa “Sebastián de Benalcázar”.  La modalidad de estudio fue bibliográfica-documental porque se realizó la búsqueda de información para el desarrollo del trabajo, cabe mencionar que la investigación fue de campo. Los resultados obtenidos según el análisis e interpretación se concluyen que los recursos educativos digitales junto con la gamificación ayudan a fomentar el desarrollo de habilidades comunicativas. Además, se puede usar actividades lúdicas, como un componente de motivación. Por otra parte, las estrategias didácticas digitales ayudan en el proceso de enseñanza – aprendizaje, fortalecen la comunicación oral y la concentración de los estudiantes. En conclusión, la gamificación fortalece la destreza del habla y la escucha de los estudiantes; por ello, mediante la aplicación de esta estrategia se puede potenciar la comunicación eficaz en diversos contextos en los que interactúan los estudiantes.
LEGAL PROTECTION OF VULNERABLE GROUPS' RIGHTS IN GENERAL ELECTIONS
Authors: Sarbini Dr. , Hartantien Sinarianda Kurnia
Published: June 2024

A country is considered a democracy if the government regulations allow its citizens to participate in political activities to the greatest possible extent as a form of implementing democratic values. General elections are one of the main pillars to support a democratic political system. General elections are held to elect representatives of the people at the central and regional levels in order to obtain support from the public to achieve the country’s national goals which are held regularly in a certain period or period of time. General elections are a source of citizens’ aspirations in determining the leaders who will compete for their voices. It includes the fulfillment and protection of the rights of vulnerable groups. The approach used in this research is the juridical-normative approach, that is, legal research conducted by examining library materials or secondary materials as basic material to be researched by conducting a search for regulations and literature related to the problem being researched. According to The Indonesian National Human Rights Commission, there are groups of people whose voting rights are vulnerable to manipulation during elections. There are 16 vulnerable groups in the general election, such as: disabilities and people with mental disabilities (ODDM); prisoners; prison inmates, plantation and mining workers; migrant workers; domestic workers; frontier society; alienated tribal communities; the elderly; LGBTQ; PLHIV; refugees of social conflict/natural disasters; homeless; women; hospital patients and health workers; and novice voters.
LEGAL PROTECTION FOR THE PUBLIC ON POSITIONAL ABUSE FOR CORRUPTION OFFENCES
Authors: Gimnastiar Muhammad Alam , Sugiharto Dr.
Published: June 2024

The reasons for a public official to commit corruption may be varied, but generally known as the GONE theory (Greedy, Opportunity, Need, Exposure) as proposed by Jack Bologna. Corruption leads to a deceleration of the country’s economic growth, decreased investment, increased poverty and increased income inequality. Corruption not only affects the country, but also the whole society. The impacts of corruption on various aspects can be perceived by the public. Therefore, this research is conducted to determine the application of the law against public officials who are corrupt, to analyse the juridical mechanism in public malfeasance, and to analyse court decisions on corruption committed by public officials. The type of research used is juridical normative combined with a statutory approach, conceptual approach, analytical approach, and case study approach. There are 3 legal sources used, such as (1) primary legal sources consist of laws and regulations related to the research topic; (2) secondary legal sources consist of books, law journals, and legal dictionaries; (3) tertiary legal sources consist of internet media, print media, and mass media. The implementation of anti-corruption values to the community is based on needs such as honesty, discipline, responsibility, simplicity, and justice. Improving applicable laws and regulations, improving bureaucratic reform governance, creating an anti-corruption work environment, applying clean and good governance principles, and utilising transparency technology are some of the efforts to prevent corruption in society.
THE IMPLEMENTATION OF RESTORATIVE JUSTICE SYSTEM TO RESOLVE DOMESTIC VIOLENCE ACTS
Authors: Hardianto Yoyok , Khoidin M. , Prawesthi Wahyu , Utami Rahayu Sri
Published: June 2024

Domestic violence is often referred to as a hidden crime because both perpetrators and victims attempt to hide their offence from public view. According to Article 28 of the 1945 Constitution, which regulates human rights, all forms of violence, especially domestic violence, are violations of human rights and crimes against human dignity. Restorative justice system is one of the approaches used to resolve case of domestic violence. The concept of a restorative justice system is used to resolve violations of the law that occur based on victims and perpetrators’ interests. The objectives of this research is to find out the implementation of restorative justice in managing domestic violence issues in society; and to analyse the restorative justice mechanism in domestic violence cases based on the Indonesian legal system. The approach method used in this research is a normative juridical approach based on laws and regulations related to legal issues. In addition, it is also used conceptual approach based on developed perspective and doctrines in legal sciences. The settlement of domestic violence cases using penal mediation method with a restorative justice approach was succesfully resolved the criminal cases occurred in community.
LEGALITY OF EUTHANASIA AT PATIENT FAMILY’S REQUEST
Authors: Mayasari Dian Ety , Prawesthi Wahyu , Kadek
Published: June 2024

The discussion of euthanasia cannot be separated from the relationship between doctors and patients. From the dimension of civil law, the relationship between doctors and patients is a contract of medical services; the doctor is obliged to provide the best treatment and will not demand the treatment results since it involves actions against living tissue, which humans cannot fully control. However, the therapeutic contract can be implemented for medical actions that do not treat the living tissues of the human body. This research aims to identify which article of the Criminal Code (KUHP) that provides law and regulation regarding the practice of euthanasia in Indonesia. The approach used in this research is a normative juridical approach. The normative juridical approach uses laws and regulations and examines all laws and regulations related to legal issues and conceptual approaches from the perspective and doctrines of law. The research findings identified that there are no articles that regulate and mention explicitly, clearly and concretely regarding euthanasia. Articles 340, 344, 345 and Article 304 jo 306 Paragraph 2 of the Criminal Code are considered the closest to euthanasia, even though the articles do not explicitly and concretely explain euthanasia.
THE EFFECTIVENESS OF LAW ENFORCEMENT AGAINST THE PERPETRATORS OF TOURISM OBJECT VANDALISM IN NORTH TORAJA
Authors: Salamba Yogistry Pakita
Published: June 2024

This research aims to analyze the implementation of sanctions against perpetrators of tourism site vandalism in North Toraja; and to examine the constraints on the application of sanctions in law enforcement against perpetrators of tourism site vandalism based on Regional Regulation No. 7/2016. This research uses empirical research methods, using statutory approaches and conceptual approaches. Primary data is obtained through field research using interview and observation methods, while secondary data is obtained through literature study. The results indicated that the enforcement of sanctions of Regional Regulation No. 7/2016 on the Implementation of Tourism in North Toraja has not complied with the regulation. Moreover, the case of Ke’te’ kesu’ vandalism committed by perpetrators who are sanctioned by custom, is characterized by many unresolved cases and weak enforcement of sanctions. The constraints in the implementation of sanctions in law enforcement are mostly caused by delayed information to the Civil Service Police Unit so that initial administrative actions are conducted before handing over to the Prosecutor’s Office. Another constraint is the absence of a MoU between the Police, Prosecutor’s Office, and Courts, and limited budget which affects the capacity of Civil Service Police Unit (Satpol PP) in protecting tourists. A comprehensive approach is needed, which includes training of law enforcers, inter-agency coordination, legal education for the community, and a review of local regulations to enhance justice and appropriateness of sanctions.
THE GROWTH AND YIELD OF SWEET POTATO TREATED WITH DIFFERENT SEEDLINGS AND CHICKEN MANURE AGAINST CYLAS FORMICARIUS TUBER DAMAGE
Authors: Triyono Kharis , Asrori Ahmad , Mustofa Fajar Arif
Published: June 2024

Sweet potato is a well-known food crop in Indonesia and has become an alternative substitution for rice. This research was conducted to obtain information on the effect of chicken manure doses and seed types on tuber damage by boleng pests in sweet potato plants. The research was conducted in Dayu village, Gondangrejo, Karanganyar from April to July 2022. The research was arranged using a factorial Randomized Complete Block Design (RCBD), consisting of two treatment factors, such as the type of seedlings (B1 seedlings in the shoot section 25 cm, B2 seedlings in the stem section 25 cm) and the dose of chicken manure (K0: 0, K1: 11.25, K2: 21.25, K3: 31.25, K4: 41.25 gr per plant) each treatment combination was repeated three times. Parameters observed were intensity of pest attack, the total of healthy tubers per plant, the total of boleng tubers per plant, fresh weight of tubers per plant and fresh weight of boleng tubers per plant. The results indicated that the treatment of seedling types, doses of chicken manure and their interactions did not have a significant effect on all parameters observed, the highest amount of healthy tubers per plant was 8.3 in treatment B1K2 (the use of shoot seedlings and doses of chicken manure 21.25 grams per plant) and the highest fresh weight of tubers per plant was 810 grams in treatment B1K1 (the use of shoot seedlings and doses of chicken manure 11.25 grams per plant).
SWISHMAX SOFTWARE-BASED LEARNING MEDIA SOLUTIONS FOR STUDENTS IN UNDERSTANDING MATHEMATICS
Authors: Rosdiana Rosdiana , Rahma Nur , Vista Putri
Published: June 2024

Technology development in education has become a demand for students and teachers to be able to master it. The selection of appropriate learning media assists teachers in conveying the teaching and learning process in accordance with its objectives. One of those learning media used in this research is Swishmax-Based Learning Media. This media also caused the student more attractive and be motivated in following learning process. Therefore, the objective of this research is to find out the development of learning media based on swishmax software in order to facilitate students in understanding mathematics learning materials. This research used mix method by combining qualitative and quantitative data analysis obtained through questionnaires and student learning outcomes tests. The research results indicate that swishmax learning media is valid, practical and feasible to use in the learning process. The application of this learning media product development is effectively used by obtaining an increase in pre-test and post-test learning outcomes with a good N-Gain score.
THE EVALUATION OF WATER LEVEL ELEVATION DESIGN OF SEI BATANG SERANGAN TOLL BRIDGE ON SEI BATANG SERANGAN RIVERSIDE
Authors: Telaumbanua Elva Putri Octaviani , Sinaga Marta Uli , Indrawan Ivan , Sembiring Ir. Robi Arianta
Published: June 2024

Hydrological analysis is conducted to determine the rainfall discharge that can be accommodated by the river with various specific return periods and hydraulic analysis to examine the water level that impacts the toll bridge that passes through the Sei Batang Serangan river. Therefore, this research was conducted to calculate the design flood discharge for the return period of 2, 5, 10, 25, and 50 years; and the water level elevation of Sei Batang Serangan toll bridge in the Sei Batang Serangan riverside. Based on hydraulic analysis using the HEC-RAS 5.0 program from steady flow data, the maximum water level elevation is at River Sta 5+00 of 10.52 m in a 50-year return period, and the minimum water level elevation is at River Sta 2+00 of 4.45 m in a 2-year return period. Thus, based on the flood water level of 12.691 meters, the Sei Wampu toll bridge area does not have flood inundation because the water level elevation value does not exceed the flood water level value (TMA < MAB). Meanwhile, from the results of the steady flow data analysis, it can be concluded that no flooding occurred at the Sei Batang Serangan toll bridge in the Sei Batang Serangan riverside at a known return period.
Die letzte Blüte Roms
Authors: Heather Peter
Published: June 2024

Das Weströmische Reich ist untergegangen. Das Oströmische Reich unterliegt im Krieg gegen die Perser, der Nika-Aufstand 532 n. Chr. stürzt das Reich innenpolitisch in die Krise, Konstantinopel, die kaiserliche Hauptstadt, liegt in Schutt und Asche. Wie kommt es aus dieser verfahrenen Situation heraus zur letzten Blüte Roms, zur größten Ausdehnung des Reichs im 6. Jahrhundert? Peter Heather erzählt meisterhaft die Geschichte einer Umbruchzeit. Zwischen Antike und Mittelalter, zwischen Rom und Byzanz manifestiert sie sich vor allem in der Herrschaft eines Kaisers, der als Bauernsohn ein sozialer Aufsteiger war und sich selbst als "Herrscher von Gottes Gnaden" verstand. Justinian (reg. 527-568) eroberte Nordafrika und Italien, Bauwerke wie die Hagia Sophia in Istanbul oder San Vitale in Ravenna gehen ebenso auf ihn zurück wie der Codex Iustinianus. Am Ende aber bleibt die Frage, wie hoch der Preis für Roms letzte Blüte war.
Legionär in der römischen Armee
Authors: Matyszak Philip
Published: June 2024

Rom herrscht unangefochten vom Wüstensand Mesopotamiens bis in die Highlands von Kaledonien. Weltreiche erobern leicht gemacht! Was Legionäre wissen müssen Wie groß muss ich sein, um Soldat im römischen Heer werden zu können? Wie schwinge ich ein Schwert? Wie überlebe ich einen Feldzug und wie verhalte ich mich, wenn Rom meine Legion mit einem Triumphzug ehrt? Berufliche Entscheidungen wollen gut überlegt sein: In diesem etwas anderen Buch über Soldaten im alten Rom erfahren Sie alles Notwendige für eine erfolgreiche militärische Karriere im römischen Kaiserreich! Witzig und informativ: Römische Geschichte, lebendig präsentiert! 20 Jahre Dienst: Die Stationen vom jungen Rekruten bis zur wohlverdienten Pensionierung Wo Sie mit den richtigen Beziehungen hinkommen: Dienstgrade in der römischen Armee Die Rache der römischen Bürokratie: Umgang mit Deserteuren, Sklaven und Verbrechern Wie Sie sich im Kampfgetümmel nicht blamieren: Die Waffen eines Legionärs Soldatenleben im alten Rom: So unterhaltsam kann ein Geschichtsbuch sein! Von der angemessenen Kleidung auf dem Schlachtfeld bis zu Waffenkunde und den Unterschieden zwischen den Legionen: Mit diesem Ratgeber passiert Ihnen auch im größten Schlachtengetümmel kein peinlicher Fauxpas! Lernen Sie, wie man ein Katapult abfeuert und wie sie Berber und Pikten unterscheiden können - sie werden es für ihre Karriere im römischen Heer benötigen. Der Historiker Philip Matyszak nimmt seine Leser mit auf eine Zeitreise in die Militärgeschichte - ein Buch, das in keinem Marschgepäck fehlen sollte!
Fit für Walhalla
Authors: Larrington Carolyne
Published: June 2024

Die Welt der nordischen Götter und Helden Ob in Wagners Oper »Die Walküre«, in Tolkiens »Herr der Ringe« oder den Marvel Comics - die Geschichten aus den nordischen Mythen faszinieren und inspirieren seit jeher. Die britische Literaturwissenschaftlerin Carolyne Larrington nimmt uns mit auf eine geschichtenreiche Reise: an den Götterwohnsitz Asgard zu den Asen, deren Anführer der kluge Kriegsgott Odin ist. Ihm zur Seite steht Thor, der das Reich der Götter mit seinem mächtigen Hammer Mjöllnir gegen die Riesen verteidigt. In einem unterhaltsamen Rundumschlag erzählt sie: Wie die Welt erschaffen wurde Was es mit dem Weltenbaum Yggdrasill auf sich hat Welche Götter und Göttinnen eine Rolle spielen Mit welchen Widersachern sie zu kämpfen haben Welche Abenteuer die Helden der Wikingerwelt bestehen müssen, bevor sie dereinst nach ihrem Tod in Valhöll alias Walhalla ihren Platz finden Illustriert mit rund 100 Abbildungen Alles Wissenswerte über nordische MythenWir begegnen tapferen Helden wie Ragnar und Drachentöter Siegfried. Und lernen furchteinflößende Kreaturen wie den Wolf Fenrir, die Midgardschlange oder den Drachen Fafnir kennen und erfahren ihre Geschichte. Vom Anbeginn der Welt bis zu ihrem Ende in der Götterdämmerung spannt sich der Bogen der Mythen. Gibt es ein Danach? Wie könnte es aussehen? Carolyne Larrington geht auch den Quellen und dem Fortleben der Mythen: sei es in Wagners Opern oder in der Fernsehserie »Vikings«, deren Held jener Ragnar Lodbrok ist, dem wir auch im Buch begegnen.
Marcus Terentius Varro: De Lingua Latina
Authors: Varro Marcus
Published: June 2024

Marcus Terentius Varro (116-27 v. Chr.) war der bedeutendste römische Gelehrte überhaupt. Seiner Produktivität kam kein anderer Römer gleich; er verfasste über 70 Werke zur Kulturgeschichte Roms, zu Landwirtschaft, Philosophie und zur lateinischen Sprache. In der Spätantike war er durch sein enorm breites Werk eine unerschöpfliche Fundgrube für kulturhistorische Erkenntnisse. Aus seinem Großwerk "De lingua Latina" ist wenigstens ein Viertel überliefert: Der Teil mit den Etymologien (Buch V-VII) liest sich wie ein Handbuch der (alt-)römischen Kultur; der zweite Teil (VIII-X) behandelt rhetorisch packend und durchaus amüsant die grammatische Analogie. Zum ersten Mal wird "De lingua Latina" nun ins Deutsche übersetzt. An zahlreichen Stellen wurde der lateinische Text grundlegend verbessert; ein gründlicher philologischer und linguistischer Kommentar erschließt den Text und macht die zweisprachige Ausgabe zur unverzichtbaren Lektüre für alle, die sich für Latein und die (alt-)römische Kultur interessieren.
KUALITAS HIDUP DOMAIN KESEHATAN PSIKOLOGIS PENDERITA STROKE: STUDI CROSS SECTIONAL DI KOTA MAKASSAR
Authors: Mahendra B Viky Indra , Firman Firman
Published: June 2024

Stroke di Asia merupakan penyakit yang menimbulkan masalah serius. Hal ini mengingat jumlah penduduk benua Asia yang mencapai 60% dari penduduk dunia. Stroke mempunyai angka kesakitan, kematian dan kelompok umur yang berbeda-beda, sehingga masih menjadi masalah kesehatan masyarakat dan memengaruhi kualitas hidup meliputi kesehatan fisik, psikologis, hubungan sosial, serta lingkungan. Penelitian ini bertujuan untuk mengetahui determinan kualitas hidup penderita strok pada domain kesehatan psikologis. Desain penelitian cross sectional. Besar sampel penelitian sebanyak 145. Studi ini dilakukan di Rumah Sakit Umum Daerah Labuang Baji Kota Makassar selama dua bulan, dari 27 Januari hingga 14 Maret 2022. WHOQOL-BREF, Peringkat Stres Persepsi (PSS), dan Kuesioner Dukungan Keluarga adalah instrumen yang digunakan dalam penelitian ini. Analisis univariat dan bivariat dengan uji chi-kuadrat digunakan untuk menganalisis data. Hasil penelitian menunjukkan bahwa umur (p=0,117), jenis kelamin (p=0,202), lama menderita penyakit (p=0,827), tingkat stres (p=0,647), dan dukungan keluarga (p=0,878) tidak memiliki hubungan dengan kualitas hidup domain kesehatan psikologis pada penderita strok. Studi ini menemukan bahwa faktor-faktor yang mepengaruhi kualitas hidup individu yang menderita strok di bidang kesehatan psikologis termasuk status pekerjaan mereka, tingkat pendidikan mereka, dan penyakit penyerta (komorbid).
ANALISIS TOTAL COLIFORM DAN FECAL ESCHERICHIA COLI PADA SAMPEL AIR GALON DI PT. XYZ
Authors: Fertiasari Rini , Lasmono Krisna Nurdin , Kristiandi Kiki , Yunianto Andi Eka
Published: June 2024

Penggunaan air dalam kemasan mengalami peningkatan konsumsi di Indonesia, salah satunya adalah penggunaan air galon. Bentuk pencemaran yang dapat terjadi pada air galon isi ulang adalah karena saat proses pencucian yang rentan terhadap kontaminan dan menjadi peluang terjadinya penyebaran bakteri. Penelitian ini bertujuan untuk menganalisis total coliform dan fecal E.coli pada sampel air galon di PT. XYZ. Pendekatan yang digunakan, yaitu secara kuantitatif deskpriptif. Dalam penelitian ini diberikan perlakuan pada dua suhu, yaitu 36 ˚C dan 40 ˚C dengan satu pengambilan hasil uji. Analisis yang digunakan dalam pengujian Total Coliform dan Fecal E-coli dengan menggunakan acuan MA PPOM 61/MIK/06, metode ini digunakan untuk dapat melihat adanya pertumbuhan koloni bakteri aerob mesofil setelah cuplikan diinokulasikan pada media lempeng agar dengan cara tuang dan diinkubasi pada suhu yang sesuai. Media padat yang digunakan dalam pengujian ini adalah ENDO dan MFC. Hasil dari penelitian dengan menggunakan suhu dengan Methode For Water and Waste Water 21th Edition Section 9100 tidak ditemukannya koloni bakteri E.coli pada air isi ulang galon atau hasil uji koloni nol (0). Sehingga air isi ulang dapat dikonsumsi dengan baik meskipun penelitian ini tidak mengambil sampel secara menyeluruh dari bagian lain, namun tidak menurunkan kewaspadaan terhadap indikator kualitas air minum isi ulang galon.
Rancang Bangun E-Commerce Planet Shopify Berbasis Web Menggunakan PHP Dan MySQL
Authors: Rafi Muhammad , Purnama Iwan
Published: June 2024

The development of programming languages in the world of the internet has indeed progressed rapidly, and the presence of programming languages in website development has had a significant positive impact. Especially, the use of programming languages such as PHP and the connection with the MySQL database have become standard in creating dynamic and interactive websites. A website without dynamic database features may feel monotonous and less responsive to user needs. Therefore, most websites, including Web-based Ecommerce systems like on Planet Shopify, utilize database applications to present information more efficiently and structured. This has enabled the use of web technology to deliver data in a more dynamic and interactive manner. The importance of the PHP programming language in web development cannot be ignored. PHP not only allows developers to create dynamic web pages but also facilitates integration with the MySQL database. This combination enables the creation of efficient and responsive Web-based Ecommerce systems with the ability to easily store, manage, and display product and order data. Web-based Ecommerce systems, especially those adopting the Business to Consumer model on Planet Shopify, become highly effective solutions. The main goal is to provide ease for consumers in obtaining the services and information they need. Additionally, this system also provides convenience for online store owners to manage product data, monitor orders, and enhance overall operational efficiency. With supporting applications like PHP, MySQL, Xampp, and CSS, developers can create attractive and functional layouts to improve the user experience. Overall, the combination of the PHP programming language and MySQL in website development opens the door to evolving innovations in the world of web database programming, enhancing efficiency, user engagement, and data management capabilities.
Rancang Bangun Aplikasi Catatan Ku Berbasis Android
Authors: Hamka Muhammad , Purnama Iwan
Published: June 2024

Along with the development of a more advanced era, the world of information and digital data processing is becoming more automated. However, there are still many data records processed using manual processes, such as in schools, government/private institutions, and inefficient companies. The weaknesses of the author plan to make notes that use computerized data that supports practical information and is more efficient and easy to apply. Technological developments in smartphones are very beneficial for everyday life, and certainly make daily tasks easier so that you can make time more efficient. Apart from that, the convenience of using smartphones also influences various activities such as filling in notes which require making notes in a book. With the My Notes application, it makes it easier for users to make new notes without having to take a book and it is much easier to take notes anywhere via smartphone.
Генезис зовнішньоекономічної діяльності підприємств
Authors:   Вінницький соціально-економічний інститут Університету «Україна», Балахонова Олеся , Дунда Юлія ,   Інститут економіки та менеджменту Університету «Україна»
Published: June 2024

У статті досліджено зовнішньоекономічна діяльність, яка має велике значення для економіки кожної країни, оскільки вона впливає на обсяг зовнішньої торгівлі, інвестиції, технологічний обмін, рівень зайнятості та економічне зростання. Глобалізація значно впливає на зовнішньоекономічну діяльність держав. Вона сприяє збільшенню обсягу міжнародної торгівлі, розвитку міжнародних інвестицій, обміну технологіями та капіталом. Міжнародна торгівля сприяє зниженню цін на імпортні товари, розширює асортимент доступних продуктів для споживачів та сприяє збільшенню конкуренції на внутрішньому ринку. Історія зовнішньоекономічної діяльності налічує тисячоліття і пройшла через безліч змін та розвитку. У давнину торгівля була одним з основних способів обміну товарами між різними спільнотами та народами. Теорії зовнішньоекономічної діяльності постійно еволюціонують відповідно до змін у світовій економіці та політиці: теорія абсолютної переваги; теорія відносних переваг; теорія компаративних витрат; теорія нової торгівлі; теорія глобалізації.
Закордонний досвід управління виробничими запасами підприємства
Authors:   Вінницький соціально-економічний інститут Університету «Україна», Балахонова Олеся , Сенчук Віктор ,   Вінницький соціально-економічний інститут Університету «Україна»
Published: June 2024

У статті досліджено основні управлінські рішення щодо надходження та використання виробничих запасів. Узагальнено логістичні технології у сфері управління виробничими запасами, які застосовуються західними виробниками, та спрямовані переважно на мінімізацію обсягу виробничих запасів. Розглянуто методи управління виробничими запасами на підприємствах: Materials Requirements Planing, «Канбан», «Точно вчасно», Optimized Production Technologies, Distribution Requirements Planing . Детально досліджено логістичний метод «Канбан» та організаційний підхід «точно вчасно». Охарактеризовано концепцію управління виробництвом з урахуванням принципу канбан. Досліджено підсистему типу «постачання – отримання» у процесі управління виробничими запасами. Досліджено систему постачання «точно вчасно», згідно якої доставка виробничих запасів здійснюється безпосередньо перед моментом їх використання.
Класифікація завдань формування і використання власного капіталу підприємства
Authors:   Вінницький соціально-економічний інститут Університету «Україна», Балахонова Олеся , Томашевський Кирил ,   Інститут економіки та менеджменту Університету «Україна»
Published: June 2024

У статті досліджено складові власного капіталу, які переходять між власниками, змінюючи цілі підприємства, стаючи, таким чином об’єктами оцінки. Формування і використання власного капіталу підприємства та управління ним стає не тільки інструментами забезпечення управлінських рішень, але також і аргументами у переговорах, наслідком яких є нові стратегічні ініціативи. Процес формування і використання власного капіталу підприємства займає головне місце серед ключових бізнес-процесів, пов’язаних із веденням господарської діяльності підприємства, оскільки передбачає можливості управління його вартістю. Визначено різноманітність завдань формування і використання власного капіталу підприємства, які можна сформувати за різними суб’єктами господарської діяльності. Метою формування і використання власного капіталу підприємства є визначення найбільш відповідної для клієнта оцінної вартості, що дозволить йому прийняти рішення про доцільність укладання угоди, внесення змін до фінансової звітності або для ухвалення рішення про інвестування.
BIG DATA ANALYTICS IN CROP YIELD PREDICTION OF TAMIL NADU (RICE)
Authors: Selvi Dr. R. Gangai
Published: June 2024

Rice holds significant importance as a staple food and cultivated crop, ranking as the third most valuable food crop globally, following wheat and sorghum. This study focuses on leveraging data analytics and machine learning techniques to analyse rice-related data and establish correlations between fixed attributes to predict crop yield. The dataset pertains to Rice cultivation in Tamil Nadu over a span of 20 years and includes factors like area, production, yield, temperature, rainfall, humidity, and wind speed. The dataset underwent preprocessing to facilitate the application of data analytics and machine learning algorithms. The K-Means clustering algorithm was utilized to categorize rice productivity data, while the apriori algorithm was employed to extract association rules from the processed data. To predict yield, a spatial regression method was also utilized. Based on the data analysis results, employing a predefined k=3 clusters, the crop yield data from 28 districts were grouped into three clusters based on their proximity to the nearest centroid. Furthermore, it was observed that districts grouped together exhibited similar rice production levels.By applying the apriori method to the rice dataset, with a minimum support of 0.001 and a confidence level of 90%, numerous association rules was generated. Among these, 31 pertinent rules were identified for achieving "High Yield Production”. The study optimized the districts' rice crop yield using both spatial and non-spatial regression models, validating the results using metrics like R2 and Root Mean Square Error. The study's primary outcome is a collection of well-defined and effective association rules that can facilitate yield prediction. These findings are anticipated to be valuable for researchers, farmers, and government authorities aiming to enhance rice crop productivity
APPLICATIONS OF HEALTHCARE SYSTEMS USING MACHINE LEARNING AND BIG DATA ANALYTICS
Authors: Yenninti Sruthi , Kumari N. Sivaganga , Johnson S. Joshua
Published: June 2024

Big data Massive informational volumes have amazing potential. Due to the huge potential that is incorporated over there, it was given extra focus during the past two decades. Big data is a label used when the size of the data itself becomes a part of the problem. A common strategy for big data analysis on computing clusters is divide and conquer.Utilizing Big Data analytics has the potential to enhance patient results, progress, and individualized healthcare, strengthen the bond between healthcare providers and patients, as well as curtail medical expenses. This article introduces the concept of healthcare data, the integration of big data within healthcare systems, and the various applications and benefits derived from employing Big Data analytics within the healthcare domain. Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. Additionally, we highlight the technological advancements related to big data in healthcare, including aspects like cloud computing and real-time data processing. Furthermore, we address the hurdles associated with implementing Big Data analytics in healthcare systems
A COMPARATIVE ANALYSIS OF MACHINE LEARNING BASED LIGHTWEIGHT DISEASE CURATOR SYSTEM
Authors: Ghosh Hrishikesh , Mondal Ankit , Pal Shemanti , Mondal Sandip , Rudra Sayak , Sarkar Paramita
Published: June 2024

Machine learning has become an important tool for the identification and management of different health problems, such as heart disease, renal failure or diabetic diseases. Machine Learning algorithms may detect patterns and signs of disease risk, based on an analysis of a lot of data from patients. In the case of heart failure, machine learning models can analyze diverse data sources such as medical records, electrocardiograms (ECGs), and imaging scans to predict the likelihood of heart failure development. By detecting early signs and risk factors, healthcare professionals can intervene proactively and provide appropriate treatment plans to improve patient outcomes. In the case of kidney failure, machine learning techniques can be used to analyse data from laboratory tests, imaging studies and demographics with a view to identifying signs of loss of function and predicting the risk for progression into End Stage Renal Disease. Early detection allows for timely interventions and the implementation of strategies to slow down disease progression. Machine learning also plays a crucial role in diabetes detection. By analyzing patient data, including glucose levels, lifestyle factors, and medical history, machine learning algorithms can predict the risk of developing diabetes and identify individuals who may be at a higher risk of complications. This enables healthcare providers to implement preventive measures, personalized treatment plans, and monitoring strategies to manage the disease effectively. We propose an efficient yet lightweight system for the detection of Diabetes, Heart Failure, and Chronic Kidney Disease. In addition to the detection capabilities, our system offers a doctor recommendation system and access to blogs where patients with similar conditions share their experience
RFID LOCK USING ARDUINO
Authors: Saran B A , Saratha B
Published: June 2024

The Near Field Communication Radio Frequency Identification Lock using Arduino is an IoT-based system designed to provide secure access control to a specific area using Near Field Communication (NFC) and Radio Frequency Identification (RFID) technologies. The system consists of an Arduino board, an NFC reader module, an RFID reader module, and a servo motor. The NFC reader is used to communicate with smartphones that have NFC capabilities, while the RFID reader is used to identify authorized RFID tags or cards. Once an authorized device or tag is detected, the servo motor unlocks the door, allowing access to the designated area. The system is also connected to the internet through Wi-Fi, enabling remote monitoring and control of the lock. The project showcases the potential of the Arduino platform in developing innovative IoT applications and highlights the importance of secure access control in modern-day security systems
A STUDY ON THE ATTITUDE OF E-PAYMENT USERS IN TIRUNELVELI DISTRICT
Authors: Selvi Mrs. B. Vandimalaichi @ , Devi Mrs. M. Parvathi
Published: June 2024

When a consumer or buyer initiates a payment transaction for products or services purchased using the Internet, the transaction is said to be online. "This type of payment reduces business costs because the more payments made electronically (online or offline), the less they spend on paper and postage." It also aids in customer retention because the customer is more likely to return to the same e-commerce site where his or her information has already been input and saved." With online payment, the payer does not have to wait in a large queue because payment is made with the click of a mouse. Furthermore, almost all banks offer a free online bill payment service that is available seven days a week, or 24 hours a day, seven days a week. In this paper, I'll talk about the impact factor of online payment methods
INNOVATION OF TRADITION: EXPLORING AYURVEDA'S FUTURISTIC TRENDS IN MEDICAL SCIENCES
Authors: G Subbalakshmi , M Dr. Anuradha , P Dr. Shilpa , G Dr. Dhanalakshmi
Published: June 2024

This chapter explores about the interconnection of Ayurveda with modern medical sciences, focusing on the importance of herbal drugs discovery. It also highlights the understanding of challenges of integrating diverse traditional medical systems particularly ayurveda and significance of understanding the theoretical differences and harmonies. This chapter investigates the significant role of ayurveda in futuristic medicinal sciences and about the global popularity of ayurveda as alternative therapy along with the origin of Ayurveda, its fundamental principles, and the timeless nature of Ayurvedic knowledge. Furthermore, the study explores about personalized healthcare, plant-based medicine, and the mind-body connection, offering insights into its possible applications, paving the way for a holistic healthcare approach
MRI-LINEAR ACCELERATOR (MR-LINAC)
Authors: Singh Mr. Mayank Pal , Kumar Mr. Raushan , Verma Ms. Mamta , Sah Mr. Neeraj Kumar , Jain Mr. Khush
Published: June 2024

The intersection of magnetic resonance (MR) imaging and linear accelerators within hybrid treatment systems has ushered in a new era of clinical possibilities for MR-guided radiation therapy. This comprehensive study delves into the intricate technical blueprint of a sophisticated 0.35 T MR-Linac, illuminating its nuanced clinical applications. Operating seamlessly, the system accommodates both 3D-conformal and intensity-modulated radiation therapy (IMRT) treatments, utilizing 6MV photons to achieve optimal therapeutic outcomes. The daily integration of MR imaging provides an unparalleled level of soft-tissue contrast, elevating precision in patient positioning for treatment initiation. Moreover, the system allows for the dynamic adaptation of treatment plans directly at the treatment table, seamlessly woven into the overall treatment workflow. An innovative feature of the MR-Linac is its utilization of cine MR imaging and structure tracking to automate beam gating during treatment delivery, optimizing accuracy and efficiency. What sets this technology apart is its departure from conventional image-guided radiotherapy, offering a suite of novel features that have the potential to revolutionize radiation treatment paradigms. Notably, the MR-Linac system opens avenues for reducing treatment margins and escalating dose delivery, promising enhanced therapeutic precision. In essence, this technological synergy heralds a transformative chapter in radiotherapy, promising superior patient outcomes through a fusion of cutting-edge technology and clinical innovation
AN OVERVIEW OF BIOREMEDIATION
Authors: Patil Dr. Darshana , Tarfe Dr. Kishori
Published: June 2024

Bioremediation is a process that employs bacteria, fungi, green plants, or enzymes derived from bacteria to remediate the environment affected by diverse pollutants. It harnesses natural environmental processes, operating without human interventions, to diminish the mass, toxicity, mobility, volume, or concentration of contaminants at various sites. These pollutants stem from industrial activities and the human-induced consequences of the industrial revolution, resulting in the substantial release of chemicals into the environment over time. In comparison to conventional methods such as incineration and chemical treatment, bioremediation offers numerous advantages. Notably, it can be efficiently utilized to generate a renewable source of energy by converting plant biomass. Key microorganisms involved in bioremediation encompass aerobic bacteria, actinomycetes, cyanobacteria, anaerobic bacteria, fungi, and yeast. The use of Genetically Modified Organisms (GMOs) represents a recent approach with significant advantages. It is imperative to focus on various factors that enhance the degradation rate of pollutants by organisms or plants.
BIOMARKER- THE MOLECULAR DETECTIVE
Authors: Ganguly Dr. Kirat Kumar
Published: June 2024

This comprehensive article delves into the multifaceted realm of biomarkers, offering an exhaustive exploration of their definition, classification, and pivotal roles in diverse fields. The molecular detectives, as biomarkers are aptly termed, provide measurable insights into physiological and pathological processes, therapeutic responses, and environmental samples. The authors categorize biomarkers into diagnostic, prognostic, predictive, monitoring, surrogate, pharmacodynamic, toxicity, and environmental types, elucidating their significance across healthcare and environmental research. The physicochemical properties of biomarkers, spanning specificity, solubility, stability, and posttranslational modifications, are meticulously examined. The authors underscore the diversity of biomolecules, from proteins to nucleic acids, metabolites, and cell surface markers, citing illustrative examples and correlating these properties with selection, assay development, and clinical applications. Moving further, the article explores biomarkers' applications in early disease detection and targeted treatment across various medical domains. Noteworthy disease-specific biomarkers are discussed, including those for cancer, cardiovascular diseases, neurological disorders, infectious diseases, and autoimmune conditions. The authors emphasize the pivotal role of biomarkers in water, soil, and air quality testing, elucidating their importance in environmental preservation. A groundbreaking section unfolds the microbial dimension of biomarkers, portraying how microbes serve as potent indicators of health and disease. Peer-reviewed studies are referenced, emphasizing the transformative potential of microbial communities in healthcare, enabling proactive disease management and personalized treatments. International and national biomarker discovery programs are outlined, exemplifying the global commitment to advancing diagnostics and treatments. Initiatives like the Human Microbiome Project, Cancer Moonshot, UK Biobank, All of Us Research Program, Indian Human Microbiome Initiative, and China Precision Medicine Initiative symbolize collaborative efforts to revolutionize personalized medicine. In conclusion, the article posits biomarkers as indispensable tools revolutionizing modern medicine. The potential of biomarkers is anticipated to burgeon with advancements in genomics, proteomics, metabolomics, AI, and machine learning. However, ethical considerations and standardization challenges must be navigated for the seamless integration of biomarkers into future healthcare landscapes. This interdisciplinary expansion, spanning health and environmental domains, heralds a new era where biomarkers are catalysts for precision, personalization, and pro activity in well-being. The journey ahead promises breakthroughs that redefine disease understanding, diagnosis, and treatment, fostering healthier, longer, and more fulfilling lives worldwide.
A REVIEW ON FUZZY LOGIC AND MACHINE LEARNING IN OUR DAY TODAY LIFE
Authors: Das Sarbananda , Patel M. K.
Published: June 2024

We introduce here how the fuzzy Logic is essential in our modern life. Daily human being find different challenges which can not completely answer with Yes or No. Those problems are deals with Fuzzy Logic. Here we are trying to bring different real life problems in Fuzzy sets and define membership functions suitable to that problems based on different rules.
COMPUTATION OF FREE SOLIDARITY VALUE WITH ITS CHARACTERIZATION
Authors: Lungalang Vitsono , Mishra Prem Prakash
Published: June 2024

In this paper, we introduce a notion of free solidarity value with partial participation of solidary players that takes into account situations of solidary groups. And we construe a new value function for solidary and non-solidary players with its existence and uniqueness. In this regard, players can choose to mitigate the loss of their counterparts. We also add two new axioms, partial positivity and unreserved allocations of solidary players for the characterization of the value. We adhere to a unanimity game that forms a basis for games involving Solidarity and Shapley values.
STABILITY ANALYSIS AND OPTIMIZATION TRANSCENDENTAL NEURAL NETWORK LEARNING
Authors: Sahu Neeraj
Published: June 2024

The back propagation (B.P) procedure is a useful partial application of weight change in artificial neural networks. Here we use two term algorithms for dynamic learning rate (LR) and the momentum factor (MF). Here disadvantages of these two term BP algorithms are the native minimum and reduce confluence speed and limited real time application. So, we add an additional term named proportional factor (PF) for two terms B.P algorithm. This PF improves the speed of the BP algorithm and decreases the confluence of the B.P algorithm. These criteria are evaluating convergence for required facilities and use of three term BP algorithm. In this paper we define transcendental convergence of three term back propagation algorithm with optimization derivative information. This paper satisfies some conditions for learning parameters of the B.P algorithm. We present learning rate, momentum factor and proportional factor derivative approach. These approaches presented derivative of weight space and using forward and backward procedures.
INVENTORY MODEL FOR IMPERFECT PRODUCTION SYSTEM WITH AND WITHOUT DISRUPTION AND REWORK
Authors: Nigwal Dr. A. R. , Sharma Leena , Gupta Neelesh
Published: June 2024

This study develops a mathematical production model for a single item of imperfect quality with and without disruption. The disruption in a production system may occurs due to labor strike, machine break down, power breakdown weather problem and political issues etc. With this types of problems, production system may produce imperfect quality items. In this paper, we have attempted to develop a production policy for an imperfect production system with and without disruption and we have compared both the situations with and without disruption. In this study we have consider that the rework process is started just after the regular production interval. A mathematical formulation has been derived for profit function and optimized a regular production time, rework process time, and disrupted production time interval. This study is analyzed through analytically, graphically and numerically.
MATHEMATICAL MODELS IN DRUG TARGET ANALYSIS: PHARMACOKINETIC AND PHARMACODYNAMIC APPROACH
Authors: Gupta Surendra Prakash
Published: June 2024

Accurate prediction of drug targets is essential for successful drug design and optimization in the drug discovery and development realm. Various mathematical models have been developed to aid in drug target prediction, incorporating different data types and techniques. One approach is to identify and quantify the protein pathway that is important to the development of diseases or affected by drug therapy with proteome data. This approach involves the construction of quantitative system pharmaceutical models of a disease scale that can predict the therapeutic or side effects of drugs. Another approach to drug target prediction is the pharmacokinetic and pharmacodynamic (PK/PD) profiling. The PK/PD approach involves the study of how drugs interact with their target proteins and the subsequent effects on pharmacokinetics and pharmacodynamics. By understanding the thermodynamic and kinetic information of drug- target interactions, researchers can gain insights into how drugs bind to their targets and how to optimize their efficacy and minimize potential side effects. These models rely on the integration of genomic, proteomic, and metabolomic data, allowing for a more comprehensive understanding of disease pathology and drug response. By incorporating large-scale data sets and using mathematical algorithms, these models can identify key mechanisms underlying disease pathology and predict potential therapeutic targets. Additionally, mathematical algorithms can also be used to predict the "drug target-likeness" of a protein. Furthermore, mathematical models can aid in predicting the binding affinity between drugs and their targets.