bluuebunny/crossref_metadata_2025 huggingface dataset:
Rancang Bangun Sistem Ganti Air Kolam Ikan Otomatis Menggunakan RTC Berbasis Mikrokontroler Atmega 16A
Authors: Hutabalian Parasian , Setiawan Dedi , Yetri Milfa
Published: August 2023

Budidaya benih ikan nila umumnya menggunakan kolam tanah maupun terpal. Kualitas air kolam pembenihan sangat perlu diperhatikan untuk mencapai keberhasilan budidaya ikan tersebut. Kualitas air dapat dilihat dari nilai pH, salinitas, kesadahan, serta kandungan senyawa kimia. Selain itu, hal lainnya adalah kekeruhan, warna, bau, rasa, dan temperatur air. Untuk menjaga kualitas air kolam tetap baik, maka perlu dilakukan pengantian air secara berkala dan teratur. Penggantian air secara manual oleh pemilik benih ikan rasanya kurang efektif. Pemilik bisa saja lupa mengganti air, selain itu penggantian air secara manual juga memakan waktu yang seharusnya bisa dimanfaatkan untuk kegiatan yang lain. Sistem otomatisasi merupakan sebuah inovasi yang bisa dikembangkan. Sistem akan melakukan penggantian air kolam sesuai jadwal yang telah ditentukan ataupun setelah mencapai batas kekeruhan air yang ditoleransi. Sistem ini dikendalikan oleh sebuah mikrokontroler Atmega16. Perangkat lain yang dibutuhkan adalah water pump, water level sensor, photodioda, dan RTC. Dari hasil perancangan sistem ini akan membantu para pembudidaya benih ikan khususnya ikan nila. Perawatan kolam akan menjadi lebih efektif dan peluang keberhasilan usaha benih ikan akan meningkat. Kata Kunci: Atmega 16, Benih Ikan Nila, Kolam Ikan, Mikrokontroler, RTC
Implementasi Sistem Fuzzy Logic Pada Monitoring Kawasan Rawan Longsor Berbasis Internet of Things (IoT)
Authors: Urip Tegar Bagas , Azmi Zulfian , Hafizah Hafizah
Published: August 2023

Longsor salah satu peristiwa geologi yang terjadi karena pergerakan masa batuan atau tanah dengan berbagai tipe dan jenis seperti jatuhnya bebatuan atau gumpulan besar tanah. Longsor suatu bencana alam yang banyak sekali memakan korban jiwa dan harta benda, Bukan hanya di Indonesia bahkan didunia. Kejadian bencana longsor biasanya terjadi karena banyak faktor. Salah satunya ialah dikaranakan erosi yang disebabkan air hujan, sungai-sungai. Oleh sebab itu maka sangat dibutuhkan suatu solusi dalam bidang keilmuan yang dapat membantu dalam mencegah terjadi nya bencana longsor ini, agar tidak ada terjadi nya korban jiwa yang melayang, dan masyarakat yang kehilangan harta bendanya. Yaitu dapat dicegah dengan Metode Fuzzy Logic. Penelitian ini juga menggunakan sistem IOT atau disebut dengan (Internet Of Things). Sistem ini sangat membantu dalam penelitian ini dengan ada nya Internet Of Things (IOT) kita hanya perlu jaringan internet untuk dapat mengakses bagaimana perkembangan di suatu bukit atau gunung yang dilewati dapat beresiko terjadinya longsor atau tidak. Pada permasalahan yang dibahas maka dapat menerapkan sistem percancangan berbentuk Implementasi Fuzzy Logic Pada Sistem Monitoring Kawasan Rawan Longsor Berbasis Internet Of Things (IOT). Dimana hasil proses pada alat sistem penelitian komponen ini berjalan sesuai yang diharapkan dengan perhitungan algoritma fuzzy logic sugeno. Mulai dari sensor MPU-6050 yang mampu membaca pergerakan pada tanah, sensor Hygrometer yang mampu membaca kelembaban pada tanah, wemos d1 r2 yang mampu mengirim pesan ke penduduk menggunakan bot telegram dan dapat membunyikan menggerakan Relay untuk membunyikan buzzer.
Sistem Keamanan Gudang Penyimpanan Barang Handphone Berbasis RFID Dan Fingerprint
Authors: Manurung Roni Adi Putra , Erwansyah Kamil , Azlan Azlan
Published: August 2023

Seiring perkembangan jaman tingkat kriminalitas dan kejahatan tidak ada habisnya. Kriminalitas suatu perilaku atau tindakan pelanggaran hukum yang menyebabkan kerugian baik dari segi ekonomi. Contoh tindakan Kiriminalitas yaitu pencurian, pencurian masih menjadi salah satu hal yang berlanjut terhadap kalangan masyarakat. Untuk saat ini masyarakat masih banyak menggunakan sistem keamanan penguncian yang manual pada pintu gudang penyipanan. Gudang sebagai tempat untuk menyimpan benda-benda berharga contohnya handphone, laptop, dan surat-surat berharga lainya. Penggunaan kunci manual untuk saat ini sangat rentan dan mudah dibobol oleh pencuri. Untuk itu perlu diciptakan sebuah sistem pengaman pada pintu gudang penyimpanan yang menggunakan tingkat keamanan yang jauh lebih tinggi dibandingkan dengan penguncian manual. Penggunaan RFID dan Fingerprint sangat bisa diandalkan untuk keamanan pintu gudang, karena hanya data user yang terdaftar yang dapat mengakses pintu gudang sehingga tidak semua orang dapat bebas masuk/keluar dan dapat mengurangi tingkat kehilangan barang atapun kerusakan barang gudang. Pembuatan Sistem ini akan meningkatkan keamanan gudang penyimpanan barang handphone. Pemilik atau pekerja juga akan merasa nyaman, bebas dari rasa gelisah ketika ingin berpergian jauh. Sistem ini menggunakan mikrokontroler Arduino Uno sebagai perangkat utama. Kemudian dilengkapi juga dengan kartu tag RFID dan finger fingerprint sebagai identifikasi untuk akses membuka pintu, catu daya sebagai suplay listrik. solenoid door lock sebagai pengunci pintu, lcd sebagai penampil, dan Â Â buzer sebagai alarm.
Implementasi Sensor Proximity Induktif Pada Sistem Pemilah Sampah Logam Menggunakan Metode Counter Berbasis Arduino
Authors: Fadli Munawar , Suherdi Devri , Taufik Faisal
Published: August 2023

Terdapat dua golongan sampah yaitu logam dan nonlogam. Selama ini tempat sampah masih konvensional karena menempatkan satu wadah tempat sampah dan sampah itu tercampur sampah yang tergolong logam contohnya tembaga dari kabel dan baut besi,serta sampah yang tergolong nonlogam, contohnya kertas, botol plastik dan karet. Selama ini membuang sampah tidak sesuai golongan sampah, jadi sipembuang sampah hanya membuang sampah disatu tempat sampah disatu wadah tempat sampah, yang berdampak kepada menurunnya kualitas lingkungan dan menjadikan lingkungan tidak indah untuk dipandang mata.Untuk itulah dirasa perlu untuk membangun sebuah tempat sampah pemilah secara otomatis untuk memilah dan mendeteksi sampah logam (tembaga darikabel,baut besi, kaleng minuman) dan nonlogam (contohnya kertas, botol plastik dan karet), dengan sensor kapasitive proximity, kapasitive induktif dan arduino uno R3 sebagai mikrokontroler. Sistem ini akan sangat membantu dalam menyortir sampah yang berbentuk logam agar tidak tercampur dengan jenis sampah lainnya karena jenis sampah logam merupakan jenis sampah yang sangat susah untuk terurai.
Perancangan Sistem Smart Parking Menggunakan Kombinasi Radio Frequency Identification Dan Computer Vision Berbasis Website
Authors: Ginting Gajut Doin Duta , Prayudha Jaka , Hutasuhut Masyuni
Published: August 2023

Pada era saat ini teknologi berperan sangat penting terutama dengan tingginya populasi penduduk diindonesia dibarengi pula dengan padatnya kendaraan sehingga dituntut menyediakan lahan parkir. Area parkir sudah menjadi kebutuhan masyarakat terutama pada perkotaan yang padat penduduk. Kapasitas lahan parkir dan informasi yang didapatkan sering kali menjadi permasalahan. Setiap kendaraan yang ingin memarkirakan kendaraan merasa kesulitan mendapatkan lokasi parkir dikarenakan tidak ada informasi slot parkir, tidak jarang pula pengendara keluar dari parkiran dengan kecewa, diakibatkan parkiran sudah penuh. Pada gerbang masuk serta keluar sering terjadi kemacetan pada jam sibuk, dikarenakan masih menerapkan sistem manual untuk pembayaran serta pengecekan identitas kendaraan STNK. Teknologi computer vision yang dikombinasikan RFID dapat membantu masalah kemacetan pada parkiran dan memberikan informasi pada kendaraan melalui website dengan menggunakan computer vision sebagai klasifikasi plat kendaraan serta RFID sebagai alat pembayaran digital. Pada pengujian yang dilakukan sistem ini dapat menampilkan informasi slot parkiran pada website serta dapat melakukan pembayaran digital dan merekam plat kendaraan sehingga dapat meminimalisir kemacetan pada gerbang masuk / keluar pada parkiran.
EFEKTIVITAS INFUSA ACALYPHA SIAMENSIS SEBAGAI BIOHERBISIDA TERHADAP AGERATUM CONYZOIDES DAN PENGARUHNYA TERHADAP TANAMAN PADI
Authors: Darwanto Agus , Afifah Rohadatul Nur , Wulandari Silvi Fatika
Published: August 2023

The teh-tehan plant or Acalypha siamensis is a plant species that is familiar as a living fence which is widely planted by rural communities. The aim of this study was to make bioherbicide from tea leaves and measure the effectiveness of Acalypha siamensis infusion as a bioherbicide against bandotan weed and its effect on rice (Oryza sativa L.). Data collection used experiments by routinely spraying Acalypha siamensis infusion on bandotan weed plants using mahogany leaves, ketapang leaves and synthetic herbicides as a comparison, then tested its effect on the growth of rice plants. Data analysis used a comparative descriptive analysis by comparing the growth of weed bandotan which was sprayed with Acalypha siamensis infusion with that which was sprayed with infusion of mahogany leaves, ketapang leaves and synthetic herbicides, then proceed with comparing the effect on the growth of rice plants. The production of bioherbicide from Acalypha siamensis is carried out by the infusion method, namely boiling in water until 1/3 (one third) of the original amount of water remains. Based on the experimental results, data was obtained that natural materials such as Acalypa siamensis leaves, mahogany leaves and ketapang leaves were proven to be able to suppress the growth of bandotan weed (Ageratum conyzoides). Based on the analysis of the BNT/LSD test, data were obtained that the ability level of Acalypha siamensis was the same as mahogany leaves and ketapang leaves but was safer for rice plant growth than mahogany leaves and ketapang leaves. Keywords: Acalypha siamensis, bandotan, bioherbicide, weed, infusion, rice
PERUBAHAN BEBERAPA SIFAT KIMIA TANAH PESISIR DAN PENGARUHNYA TERHADAP PERTUMBUHAN CABAI RAWIT (Capsicum frutescens L.) YANG DIBERI ABU SEKAM PADI DAN PUPUK NPK
Authors: Tyas Sela Arning , Ginting Sahta , Anas Arsy Aysyah , Darwis Darwis , Pasolon Yulius Barra , Namriah Namriah
Published: August 2023

Beach sandy land has great potential to be used as an agricultural area, because it has a very large area and has not been utilized optimally, especially as a cultivation area. The aims of this study were: To determine the effect of rice husk ash and NPK fertilizer on changes in some of the chemical properties of coastal soils and the growth of cayenne pepper plants. To determine the interaction effect of rice husk ash and NPK fertilizer on changes in several chemical properties of coastal soils and the growth of cayenne pepper plants. This research was conducted at Field Laboratory II, Faculty of Agriculture, University of Halu Oleo. Analysis of soil samples was carried out at the Testing Laboratory of the Department of Soil Science, Faculty of Agriculture, Halu Oleo University. This research was conducted from August 2022 to October 2022. This research used a Randomized Block Design (RBD) consisting of A0 = 0 g polybag-1, A1 = 25 g polybag-1 or equivalent to 5 ton ha-1, A2 = 37, 5 g polybag-1 or the equivalent of 7.5 tons ha-1, B0 = 0 g polybag-1, B1 = 5 g polybag-1 or the equivalent of 1 ton ha-1, B2 = 7.5 g polybag-1 or equivalent to 1.5 tons ha-1. The variables observed included analysis of soil chemical properties and plant growth. The results showed that a mixture of rice husk ash and NPK fertilizer was able to increase the nutrient content of N, P, K, pH, C-Organic in coastal soil, characterized by an increase in plant height and number of leaves of red chili plants and the dose of organic fertilizer that had the best effect, namely 37.5g and 7.5g.Keywords: husk ash, C-organics, soil chemical, sand land, NPK
VARIABILITAS KANDUNGAN C-ORGANIK PADA TANAH ULTISOL YANG DIBERI BERBAGAI JENIS BAHAN ORGANIK UNTUK PERTUMBUHAN TANAMAN SAWI
Authors: Mujizat Yuyun , Namriah Namriah , Leomo Sitti , Darwis Darwis , Alam Syamsu , Resman Resman
Published: August 2023

Ultisol is a potential acid mineral soil for the development of agricultural crops with an area of 45.8 million hectares, but has problems of soil acidity, low content of C-Organic, nitrogen, phosphate and potassium, but this can be overcome by applying fertilizers. This study aims to determine the effect of various types of organic matter on C-Organic and the growth of mustard greens. This research was conducted on Field II of the Faculty of Agriculture, and sample analysis was carried out at UPT. Halu Oleo University Integrated Laboratory.The study used a randomized block design (RBD) consisting of 9 treatments, namely TB = without organic matter, SI = cow manure 75 g polybag-1, SII = cow manure 150 g polybag-1, AI = chicken manure 75 g polybag -1, AII = chicken manure 150 g polybag-1 , KI = goat manure 75 g polybag-1 , KII = goat manure 150 g polybag-1 , HI = compost vegetation komba-komba 75 g polybag-1 , HII = komba-komba vegetation compost 150 g polybag-1.The results showed that the provision of various types of organic matter was 0.62%. As for the results after administration of various types of organic matter with various concentrations continued to decrease successively in the treatment TB, SI, SII, AI, AII, KI, KII, HI, namely 0.26%, 0.28%, 0, 32%, 0.34%, 0.40%, 0.52%, 0.54%, 0.60%, and after that there was an increase in the HII treatment, 0.78%, with a dose of 150 grams. Application of cow manure, chicken coop, goat coop, and komba-komba vegetation compost had an effect on the height of the mustard plants. Keywords : C-Organic, Mustard Plant, Ultisol.
Measuring motivation and drive switching in rodents – why and how?
Authors: Karnani Mahesh
Published: August 2023

To maximize survival, animals should switch between motivated behaviours, like drinking, feeding or social interaction, in accordance with environmental availability, internal needs, and species-typical ethological needs. Drives are the neural mechanisms giving rise to motivated behaviours, and should involve a switching mechanism producing motivational transitions which enhance survival and fitness. Lack of drive switching can lead to inflexible, repetitive behaviours, which are a hallmark of many psychiatric disorders, like obsessive compulsive disorder. In order to study drive switching, it would be helpful to directly measure motivational switching in genetically tractable rodent model systems. Here, a potentially useful motivational switching metric for rodent work is described and contrasted to similar concepts in the literature. It is proposed that this ethologically-grounded parameter could be a phenotypic unit relevant to behavioural compulsions in humans.
Build instructions for a long term behavioural enclosure for measuring motivational switching in mice
Authors: Hartmann Clara , Pereira Mateus Borges Vinicius , Thönnes Yves , Karnani Mahesh
Published: August 2023

Switching between motivated behaviours, such as feeding, drinking and socializing, is important for survival in a dynamic, social environment. Inflexible repetitive behaviours are a hallmark of many neuropsychiatric disorders. Studies of the neural mechanisms underlying motivated behaviours, i.e., drives, seldom focus on switching between them. This is partly due to a lack of appropriate behavioural measurement systems. In this study, we build and test a device for measuring motivational switching in mice, the Switchmaze. We present build instructions using affordable off-the-shelf components, and openly accessible acquisition and analysis scripts.
Entre anjos e homens
Authors: Hermann Victor
Published: August 2023

Neste artigo, investigamos a oposição entre história do mundo e história de ideias no romance moderno "O homem sem qualidades", de Robert Musil, uma obra icônica do início do século XX que aborda a fragmentação da experiência humana moderna e a desintegração da sociedade europeia. Examinamos como o senso de possibilidade afeta a elaboração de um enredo "em potencial", o realce de eventos "desimportantes", o emprego da ironia como tática narrativa e, por fim, a comparação entre perspectivas angelicais e humanas quanto à história. Ao explorar esses aspectos, nosso estudo busca ampliar a compreensão das abordagens inovadoras da literatura moderna no enfrentamento de questões complexas relacionadas à história e à catástrofe, destacando a relevância de analisar a história de ideias em contraposição à história do mundo.
The principle of equality before the law in criminal and penal law: specification and place in the system of principles of these industries
Authors: Ковалев Н.С.
Published: August 2023

В статье рассматривается принцип равенства перед законом, закрепленный в уголовном и уголовно-исполнительном праве. Исследуются и сопоставляются признаки принципа равенства перед законом, закрепленного в Конституции РФ, уголовном и уголовно-исполнительном праве. Автором проводится анализ доктринальных положений по поводу содержания и признаков принципа равенства перед законом в уголовном и уголовно-исполнительном праве. Исследуется его место в системе принципов рассматриваемых отраслей права. В результате проведенного исследования автором был сделан обоснованный вывод о том, что принцип равенства перед законом проявляется в уголовном и уголовно-исполнительном праве, конкретизируя конституционный принцип равенства перед законом. Выявлены отличительные признаки, характеризующие исследуемый принцип, применительно к каждой конкретной исследуемой отрасли, в качестве отраслевого принципа. Раскрывается содержание принципа равенства в уголовном и уголовно-исполнительном праве.

The article examines the principle of equality before the law, enshrined in criminal and penal law. The signs of the principle of equality before the law, enshrined in the Constitution of the Russian Federation, criminal and penal law, are investigated and compared. The author analyzes the doctrinal provisions concerning the content and features of the principle of equality before the law in criminal and penal law. Its place in the system of principles of the considered branches of law is investigated. As a result of the conducted research, the author made a reasonable conclusion that the principle of equality before the law is manifested in criminal and penal law, specifying the constitutional principle of equality before the law. The author identified the distinctive features that characterize the principle under study, in relation to each specific industry under study, as an industry principle. In the article, the author reveals the content of the principle of equality in criminal and penal law.
Estilos de Afrontamiento en un grupo de hombres recluidos en la Cárcel Municipal de Envigado
Authors: Acosta Tobón Sergio Andres , Prieto Ciro Noé Sebastián , Tamayo Bustamante Ana María , Zuluaga Noreña Laura Isabel
Published: August 2023

El objetivo de la presente investigación fue analizar los estilos de afrontamiento en población masculina en centro carcelario, a partir de un diseño cuantitativo, trasversal no experimental, y se analizó una muestra conformada por 52 hombres, con edades entre los 18 y 65 años; en este estudio se utilizó el inventario de estilos de afrontamiento propuesto por Lazarus y Folkman (1986); los resultados obtenidos permitieron determinar que el estilo de afrontamiento fantasioso (FA) y el afrontamiento centrado en solución de problemas (SP) representan los modos distintivos para enfrentar las dinámicas de la vida carcelaria, la permanencia y la solución de problemas cotidianos.
Fake News Detection Using Naive Bayes Classifier: A Comparative Study
Authors:   Amity School of Engineering and Technology, Amity University Uttar Pradesh, Lucknow Campus, India, Yadav Abhinandan
Published: August 2023

Machine learning is a subfield of artificial intelligence (AI) and computer science that utilizes data and algorithms to imitate how people learn, progressively improving its accuracy. Machine learning is an important component of the growing field of data science. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights. Detecting fake news comes under a classification problem. Fake news is false or misleading information presented as news. The initial stage in classification is dataset collection, which is followed by preprocessing, feature selection, dataset training and testing, and finally executing the classifier. There is a large amount of written text in the news. This text is processed using NLP. NLP can perform an intelligent analysis of large amounts of plain written text and generate insights from it. It involves methods like data preprocessing and feature selection. Data pre-processing involves data cleaning, removing any incorrect, duplicate, or incomplete data within a dataset. Feature selection is done using the CountVectorizer and TF-IDF Vectorizer. Then comes dataset training and testing and the use of similar data for training and testing reduces the impact of data inconsistencies. After processing the model using the training set, the model is tested by making predictions against the test set. Then, to assess the performance of the classification model for the provided set of test data confusion matrix is used. The primary purpose is to use the Naive Bayes (NB) Classifier technique to generate two classification models one using CountVectorizer and other using TF-IDF Vectorizer and compare their accuracy.
Implementasi Nilai-Nilai Penguatan Pendidikan Karakter (PPK) di Sekolah Dasar
Authors: Rahmadani Ervi , Al Hamdany Muhammad Zuljalal
Published: August 2023

Permasalahan terkait penurunan nilai karakter yang terjadi di dunia pendidikan saat ini merupakan suatu fenomena yang harus segera diatasi diantaranya, hilangnya rasa patuh pada guru, kurangnya sikap disiplin dan mulai memudarnya sikap jujur. Oleh karena itu dibutuhkan program untuk mengembangkan dan mendidik karakter peserta didik, salah satunya melalui Program Penguatan Karakter (PPK) di sekolah dasar. Tujuan dari penelitian ini adalah untuk mengetahui implementasi dari lima nilai-nilai PPK di sekolah dasar. Penelitian ini menggunakan metode penelitian kualitatif deskriptif. Subjek penelitiannya adalah peserta didik kelas 5 di SDN 51 Sumarambu. Teknik pengumpulan data yang digunakan adalah wawancara, observasi dan dokumentasi. Teknik analisis data meliputi pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa telah terdapat pengimplementasian dari kelima nilai PPK di SDN 51 Sumarambu. Diantaranya, implementasi nilai religius melalui kegiatan rutin salat duha berjamaah setiap hari Sabtu. Implementasi nilai nasionalis melalui kegiatan upacara bendera setiap hari Senin dan peringatan hari nasional lainnya. Implementasi nilai gotong royong melalui kegiatan Jumat Bersih di lingkungan sekolah. Implementasi nilai integritas melalui kejujuran kepada peserta didik, serta implementasi nilai mandiri dengan pembiasaan mengerjakan ujian tanpa menyontek. Pengimplementasian kelima nilai PPK dilakukan melalui pembiasaan dan keteladanan dari guru.
Incessant Ectopic Atrial Tachycardia Accompanied by Unusual Neurological Manifestations – Case Report and Literature Review
Authors:   College of Medicine, King Faisal University, Al-Ahsa, Saudi Arabia, Alomayrin N , Alshaikh Hussain M ,   Department of Family Medicine, King Abdulaziz Hospital, MNGHA Al-Ahsa, Saudi Arabia, AlMusaad A ,   King Abdulaziz Cardiac Center, King Abdulaziz Medical City, MNGHA, Riyadh, Saudi Arabia,   King Abdullah International Medical Research Center (KAIMRC), Al Ahsa, Saudi Arabia, Al muaiweed R ,   College of Medicine, King Faisal University, Al-Ahsa, Saudi Arabia, Aljohani S ,   College of Medicine, King Faisal University, Al-Ahsa, Saudi Arabia, AlTaweel Muneera ,   King Abdullah International Medical Research Center (KAIMRC), Al Ahsa, Saudi Arabia,   Department of Medicine, King Abdulaziz Hospital, MNGHA Al-Ahsa, Saudi Arabia
Published: August 2023

Incessant ectopic atrial tachycardia (EAT) is well-known in the electrophysiology world. However, once accompanied by neurological manifestations, hence is a dilemma. We are reporting a 26-year-old male presenting with incessant symptomatic EAT. Once cardioverted, he began to manifest cardiovascular stroke clinical symptoms. Further objective investigation revealed no evidence of cardioembolic stroke. Our aim of this case report is to explore if there is a true correlation between EAT and possible neurological association and open further guidelines related to research.
The Role of Deuterium 2H in the Pathogenesis of Heart Failure as Deduced by Food Studies from Six Individual Cases
Authors:   Department of Veterans Affairs, Knoxville Outpatient Clinic, 8033 Ray Mears Blvd., Knoxville, TN 37919, USA, Jones Edwin C. , Phelps JE ,   Isotope Research Consultant, 1600 Buttercup Cir., Knoxville, TN 37921, USA, Maddox G ,   Electrophysiology Consultant, 1468 Towee Pike, Reliance, TN 37369, USA, Jardet CL ,   Endocrinology Consultants of East Tennessee, 1450 Dowell Springs Blvd., Suite 300, Knoxville, TN 37909, USA
Published: August 2023

Heart failure results from the loss of structural integrity of the heart and/or a decrease in the rate of maximal ATP production. In cases of relatively preserved structural integrity, a decrease in ATP production in the mitochondria leads to a decrease in the cardiac stroke volume, thereby increasing the heart rate required to maintain the cardiac output. For many years, the exact location of this defect in the metabolic energy cycle remained elusive. Evidence is presented here to show that it is not a single metabolic substrate involved but rather the heavy isotope of hydrogen 2H, deuterium, that is jamming the ATP nanomotors slowing the rate of ATP production. During the digestion of a meal, the cardiac heart rate is shown to be very sensitive to the level of deuterium contained in the fatty acids recently consumed. During strenuous exercise in the fasting state, the enzyme adipose triglyceride lipase (ATGL) is found to mobilize the highest deuterium triglycerides more rapidly than the healthier lower deuterium triglycerides, converting the adipose tissue into a deuterium-depleted energy pool. This is believed to contribute to the low resting heart rates frequently observed in athletes. In vulnerable individuals, i.e., those weakened by disease(s) or space explorers in a weightless environment, the decreased ability to perform strenuous exercise leads to higher deuterium levels in their adipose tissue compromising their ATP production. In these individuals, maintaining healthy deuterium levels is best achieved by an increased intake of lower deuterium-containing foods.
Was There an Observant Cistercian Movement? Reform in the Medieval History of the Cistercian Order
Authors: Jamroziak Emilia
Published: August 2023

This article confronts the problem that in late medieval/early modern Cistercian historiography the concept of Observant reform seems absent, and that there did not exist a distinct Observant movement within the Cistercian order in a way that was comparable with what happened in the Mendicant world. Nevertheless, a close analysis of Cistercian sources indicates that Observant ideas did exist at different levels, and that Observantist developments evolved in relation to contacts with other religious orders, such as the Carthusians and the Devotio moderna movement.
Word Alignment of Chinese Poetry Parallel Corpus based on Word Embedding Technology
Authors: Wang Xizhe
Published: August 2023

The research of word alignment technology provides the basis for many fields in natural language processing, such as speech recognition, bilingual dictionary writing, corpus construction and information retrieval. Based on the existing research foundation of parallel corpus for poetry sentence alignment, this paper studies how to align English-Chinese words. Firstly, the parallel corpus of Chinese poetry is preprocessed and translated into words, and the English poetry word vector is trained based on word embedding method, and the optimal corresponding word is judged by similarity calculation, and finally getting word alignment from parallel corpus sentence alignment.
COVID-19 Diagnosis and Detection Based on Deep Learning Models
Authors: Li Yuhan
Published: August 2023

The COVID-19 pandemic has caused widespread illness and death since its emergence in 2019. This study examines various Artificial Intelligence (AI) techniques for diagnosing and predicting COVID-19. One such method is the Hust 19 model, which employs a hybrid learning architecture of CNN and DNN models. The model divides CT scans into three types that identify COVID-19-related imaging features and implements a deep learning framework based on the VGG16 architecture. Another group of researchers developed a deep learning-based COVID-19 diagnostic system using multi-class and multi-center data, segmenting lungs and identifying COVID-19 infection slices. They evaluated the model's accuracy using Receiver Operating Characteristic (ROC) curves. A third group developed a deep neural network based on DenseNet121, standardizing input CXR images through anatomical landmark detection and registration, and segmenting lung lesions to diagnose pneumonia. A final group developed a three-dimensional deep learning model called COVNet, which takes CT images as input, extracts features from each slice using the ResNet50 backbone, merges the maximum features obtained by the AI model, and generates classification predictions for the entire CT scan. They also proposed a multi-decoder split network to improve the model's accuracy and efficiency. Experimental results show that the Deep learning AI system model and COVNet model are relatively good, with average sensitivity and specificity. The remaining models, particularly Hust-19, show prominent specificity, but high specificity leads to low sensitivity, making the overall model imbalanced. These AI diagnostic models are just the beginning, and there may be more inventions and creations in the future.
Cross-Border Payment Based on Blockchain Technology and Digital Currency
Authors: Li Chengjie
Published: August 2023

With the rapid development of financial globalization and currency globalization, trade exchanges between various countries are increasing, and the demand for cross-border payment in multiple countries is increasing, which leads to a series of issues related to cross-border payment, such as payment efficiency, payment cost, and payment success rate, etc. Therefore, blockchain technology is introduced, a decentralized, non-tamperable, and traceable distributed accounting technology. Based on improving the current cross-border payment system, this paper studies the use of blockchain technology to solve related problems in the traditional cross-border payment model in legal digital currency (Central Bank Digital Currency) and currency digitization (fund lending). Through the reading of many documents and the search for information, the application of blockchain technology combined with digital currency has broad development prospects, which will completely improve the existing payment model and achieve a more efficient and safer transaction environment. However, the current development of this technology is still in its infancy, and no country or region has yet achieved large-scale operation of this technology. The technology still needs to be improved in terms of practice, unified consensus algorithm, and legal supervision.
Feature Selection based Music Selection using Artificial Intelligence
Authors: Bordoloi Apoorva , Prasad Murari , Thumar Hem , Saloi Manas , Joshi Deepanshu , Mahajan Shubham , Abualigah Laith
Published: August 2023

Music recommendation systems have become increasingly popular in recent years thanks to artificial intelligence (AI). Streaming services have become increasingly popular in recent years thanks to affordable internet and media streaming services. Because the user base of music streaming services is ever-growing and the market in streaming services is also competitive, it is critical to provide listeners with recommendations to increase user base retention. Music recommendation systems have come a long way in the last decade, but there are still several issues to be addressed. Pure sound-based recommendations may have been a good option to examine. It would have been advantageous to explore pure sound-based recommendations since they would have been more accurate. The current systems available to consumers also have significant advantages, such as collaborative filtering of listeners, based on location, artists' preferred genres, etc., and recommending songs based on the results. Collaborative filtering does produce great results. This sound-based approach might achieve greater results when combined with these current methods.
Comparison of Multiple Machine Learning Algorithms for Music Genre Classification
Authors: Deng Diwen , Gu Yiwu , Zhu Yiyi
Published: August 2023

With the fast advance of the Internet and the continuous improvement of computer technology, speech recognition has been applied in many fields, and speech recognition has broad prospects for development. Music and audio classification technology can add category labels to music based on music content, which is of great significance in the research and application of efficient organization, retrieval and recommendation of music resources. In order to efficiently classify audio from massive online music data and help users to obtain the most suitable music style, a deep learning classification algorithm based on convolutional neural network (CNN) is proposed. To examine its effectiveness, it is compared with traditional machine learning algorithm. First, the original music data set was preprocessed and then feature extraction was carried out to obtain music features and transform them into spectral maps. Traditional machine learning model and deep learning component model were used for simulation experiments. The testing accuracy of the deep learning model is up to 92%, verifying the model's superiority.
Exploiting Long Short-term Memory Neural Network for Stock Price Prediction
Authors: Chen Zihui
Published: August 2023

Stock as a high yield, high risk investment has been favored by the public. In order to increase the return on investing in stocks, investors need to predict stock prices. In the past, investors used traditional mathematical methods to make predictions. Now, neural networks are used by investors to predict stocks, which can improve the accuracy of stock forecasting. To further verify the effectiveness of these methods, this work discusses the effects of different network structures and hyperparameters on stock prediction models using short-term memory (LSTM) neural networks. The results show that deeper network layer can get better training effect, but it needs more training time, resulting in a lot of time waste. In addition, this experiment tests the prediction effect under different dropout parameters. The results show that the dropout function should not be too large or too small. Multiple experiments are needed to find an appropriate dropout value.
Common Injuries in Female Competitive Softball Players
Authors: Tysklind Robert G. , Kraus Kent R. , Dillon Mark T.
Published: August 2023

The popularity of softball is rising among female athletes with more than two million players between the ages of 12 and 18 competing per year. As participation rates increase, the frequency of injuries related to softball is on the rise. Softball injuries can differ from baseball injuries, and only a small amount of current literature focuses exclusively on softball injuries. Orthopaedic surgeons need to be prepared to evaluate, diagnose, and treat common injuries sustained while playing softball. The purpose of this study is to investigate the mechanisms of injury that are commonly encountered by female athletes in competitive fast-pitch softball and review current safety initiatives that have been implemented to aide in injury prevention.
Research on Sustainable Development of China’s Green Enterprise Economy
Authors: Qin Yulin , Li Jun
Published: August 2023

This paper aims to explore how China’s green economy can promote the sustainable development of enterprises. With the rapid growth of China’s economy, problems such as environmental pollution, resource depletion, and ecological imbalance have become increasingly prominent. The article first expounds the meaning and consensus of green economy and sustainable development. Then it discusses the environmental protection industry as an important part of the green economy, including its rise, international trends and development status. The article analyzes the impact of the green economy on the sustainable development of enterprises, including environmental benefits, economic advantages and social impact. Discusses the challenges and opportunities faced by enterprises in technological innovation, market demand, and policy support in the green economy. Finally, the article proposes strategies for enterprises to achieve sustainable development, including practices such as sustainable resource management, clean production technology, and corporate social responsibility. . Therefore, the author’s research provides guidance for Chinese enterprises to realize the sustainable development of green economy, and provides insights and suggestions for promoting the development of green economy and sustainable development of enterprises.
Whole-Body vibration therapy: an overview
Authors:   Department of Physiotherapy, Composite Regional Center of Skill Development Rehabilitation and Empowerment of Persons with Disabilities-Kozhikode, Calicut, India, Nisamudeen Jasmin , Mathew K. V Binoy ,   Department of Physiotherapy, Composite Regional Center of Skill Development Rehabilitation and Empowerment of Persons with Disabilities-Kozhikode, Calicut, India, Bijlee K. N Roshan ,   Composite Regional Center of Skill Development Rehabilitation and Empowerment of Persons with Disabilities-Kozhikode, Calicut, India
Published: August 2023

Concern has been raised about whole-body vibration training (WBVT), which activates skeletal muscles by employing vibrations rather than a mass load or dynamic exercise. As vibration massage and local vibration applied to muscles show promising benefits, vibration treatment and exercise became widely used in rehab. Studies are still being conducted to fully comprehend the cumulative impacts and long-term safety of this training program. This study gives an outline of WBVT, explaining its physiology and advantages as well as some safety aspects, contraindications, and instructions for applying it in a clinical environment.
Financial Performance of Indian Private Life Insurance Companies in the Post Liberalisation Period: A Comparative Study between the First Two Decades of 21st Century
Authors: Debashis Das Sharma  , Dr. Subhas Chandra Sarkar
Published: August 2023

Insurance sector in India played a vibrant role in the development of economy. At the advent of new economic policy in 1991, insurance sector has started dynamic changes following the slogan of LPG. IRDA was formed as regulatory authority in 1993, to monitor and control over the insurance market. There was only public sector insurance company in the Indian life insurance business popularly known as LIC who have enjoyed monopoly from 1956 to 1999 over the life insurance sector. This scenario has dramatically changed after the entry of 23 private life insurance players with joint venture of Indian companies in 1st decade of 21st century. These companies have introduced several dynamic business strategies to capture the market within a very short period of time. Innovative products, smart marketing and aggressive distribution have enabled fledgling private insurance companies to get Indian customers to sign up faster than anyone expected. A healthy competitive environment has been observed during this period. Private insurers snatched a significant portion of the market share within couple of years. Life insurance industry observed remarkable growth and development in the post liberalisation period. An attempt has been made to evaluate the financial performance of the selected private life insurers between the first and 2nd decade of 21st Century. The objective of the study is to examine whether financial performance of the private life insurance companies have been improved from 1st decade to 2nd decade. With a view to attaining the objectives financial performance have been measured by using selected ratios of CARAMEL framework. Six indicators have been used to assess the Capital adequacy, Asset quality, Reinsurance & actuarial issues, management soundness, Earnings and profitability and Liquidity position of the companies. With a view to comparative analysis Mean and CV of the selected ratios of each companies have been tabulated during the two decades. The results obtained are statistically tested with the help of paired sample t-test in order to draw the logical inferences. It has been observed that financial performance of most of the private life insurance companies have been improved from 1st decade to 2nd decade.
Construyendo caminos hacia otras formas de investigación social y divulgación científica en espacios de educación
Authors: Méndez Caro Leyla , Beniscelli Contreras Leonora , Araya Moreno Rodrigo , González Herrera Pedro , Melita Yáñez Felix , Muñoz Gaytán Simón , Navarrete Vega Constanza , Vargas Zuleta Ivone , Arias Olivares Stephanie , Arteaga García Fernanda , Castillo Gripe Pool , Castro Díaz Francisca , Jacobs Badilla María , Martínez Videla Hernán , Osorio Soliz Yanela , Reinoso Guerra Paula , Rivas Galaz Hans , Vergara Huidobro Yuyunis , Wormald Mora Franz , Baeza Rodríguez Scarleth , Ossandón Núñez Paulina
Published: August 2023

En este trabajo compartimos una experiencia pedagógica emergida inicialmente desde un curso de Investigación Cualitativa de la carrera de psicología de la Universidad de Antofagasta. Esta experiencia se centró en fortalecer nuestro plan de estudios mediante herramientas de investigación y divulgación científica a partir de lugares de articulación entre estudiantes y docentes e investigadoras con experiencia en metodologías cualitativas y estudios de género/feministas. La experiencia se concreta en una Jornada de Investigación Cualitativa autogestionada. Las Jornadas constituyeron un espacio de solidaridad académica y de reflexión/acción en torno al ejercicio pedagógico y procesos alternativos de producción de conocimientos dentro de las Ciencias Sociales, Artes y Humanidades, desafiando paradigmas hegemónicos. Asimismo, dentro de las instancias de discusión, se reflexionó sobre los desafíos de la investigación social, los modelos económicos que permean la educación, psicopatologización e individualización de la vida, así como las matrices de colonialidad del saber y androcentrismo anquilosadas en el quehacer científico.
Estrategias de afrontamiento ante incidentes críticos en aulas virtuales en estudiantes de Obstetricia y Puericultura: implicaciones para su formación
Authors: Altamirano Droguett Janet Elizabeth , Gonzáles-Castro Pamela , Parra-Barrientos Javiera , Cayo-Huanca Nataly , Rivera-Rivera Sigrid
Published: August 2023

El objetivo general del presente estudio fue analizar las estrategias de afrontamiento ante incidentes críticos ocurridos en aulas virtuales empleadas por los estudiantes de la Carrera de Obstetricia y Puericultura de la Universidad de Antofagasta durante el período comprendido entre marzo 2020 y abril 2022. Se llevó a cabo una investigación cualitativa de tipo interpretativa que se sustentó en las experiencias que influyen en el comportamiento de las personas. El diseño metodológico se basó en la teoría fundamentada. Se entrevistaron 19 estudiantes de los cinco niveles de la carrera por vía telemática, quienes participaron de manera voluntaria. El estudio fue aprobado por el Comité de Ética e Investigación Científica de esta Institución. La codificación inductiva y el método de comparación constante permitieron la saturación teórica de los datos procesados en Atlas.ti. Dentro de los resultados, se evidenciaron con predominancia estrategias de autoprotección evasivas y de negación frente a incidentes críticos relacionados con la desorganización de recursos y tiempo, métodos de enseñanza inadecuados, conflictos interpersonales profesor-estudiante y problemas en la evaluación, que representaron sobre el 79% del total de sucesos inesperados desestabilizadores experimentados en las aulas virtuales. Como conclusión, si bien, los estudiantes de esta carrera poseen un electivo de formación integral que apunta a la gestión de estos eventos imprevistos, se requiere de más iniciativas educativas que potencien los espacios dialógicos reflexivos en los futuros profesionales de Matronería. Asimismo, es necesario que, los docentes no solo adquieran herramientas pedagógicas y tecnológicas, sino además se capaciten en afrontamientos de incidentes críticos.
A Machine Learning Approach for Detecting Network Threats
Authors: T Shivakumara
Published: August 2023

In the context of the rapid expansion of computer networks and the increasing reliance on digital communication, ensuring the security and integrity of network systems has become a paramount concern. Detecting network threats play a vital role in safeguarding networks by identifying potential malicious activities and unauthorized access attempts. In this research paper, we present a comprehensive study that explores the efficacy of different machine learning classifiers for network threat detection. The study utilizes a publicly available dataset containing network traffic data, encompassing various network protocols and attack. The dataset is pre-processed to convert categorical variables into numerical form using one-hot encoding. Four popular classifiers are employed in this study: Support Vector Machine (SVM), Decision Tree Classifier (DTC), K-Nearest Neighbors (KNN), and Bernoulli Naive Bayes (BNB). The classifiers are trained on the pre-processed training data, and their performance is evaluated using accuracy metrics, classification reports, and confusion matrices. Results offer insightful information on the weaknesses and weaknesses of each classifier for detecting network anomaly. The findings demonstrate that the DTC classifier exhibits high accuracy and robustness in detecting network anomalies. The KNN classifier also achieves competitive results but may suffer from scalability issues with large datasets. The SVM classifier demonstrates satisfactory performance, while the BNB classifier, which converts numeric features to binary form, exhibits relatively lower accuracy. Keywords - Network threat Detection, Machine Learning Classifiers, Network Security, Anomaly Detection, Cyber Threats.