bluuebunny/crossref_metadata_2025 huggingface dataset:
Students’ Perception on the Use of Virtual Learning as a New Innovation of Learning in Tertiary Institutions for Global Best Practices in Gombe State
Authors: Ngwakwe Chinyere Catherine , Anthony Nwosu Chinedu , Kalu Opara David
Published: June 2023

This study examined the students’ perception on the use of virtual learning as a new innovation of learning in tertiary institutions for global best practices in Gombe State. Two research questions guided the study and two null hypotheses were also tested. Descriptive survey design was adopted. The population comprised 350 final year and 515 penultimate students in five tertiary institutions in Gombe State. A sample size of 250 students was selected for the study using simple random sampling technique. A structured and validated questionnaire on four-point rating scale containing 48 items was used for data collection. Cronbach Alpha method was used to establish the reliability of the instrument which yielded coefficients of 0.87, 0.80, 0.68 and 0.84 for the different clusters with an overall coefficient of 0.79. Data collected were analyzed using mean and standard deviation to answer the research questions while t-test was used to test the hypotheses at 0.05 level of significance. The analysis was carried out using SPSS version 23.0. Findings revealed that not all the students have access to virtual learning services, virtual learning services were not adequately available for some students of tertiary institutions especially those living in rural areas. Students’ competency in internet usage was fair and that virtual learning service delivery is constrained by a lot of factors. Therefore, it is recommended that urgent steps should be taken to provide technical resources and improvement in internet connection for ensuring uninterrupted online education in Gombe State to fulfill the education needs of tertiary institution students.
Использование нейросетевого подхода при постобработке части оцифрованных киноматериалов кинооператора Ю. Я. Ковтуна
Authors: Блинников А. В. , Ковалев И. В.
Published: June 2023

В статье рассматривается использование нейросетевого подхода при постобработке части оцифрованных киноматериалов северного кинооператора Ю.Я. Ковтуна. Авторами исследуется и изучается монтажно-коррекционный и нейросетевой методы применительно к части оцифрованных материалов северного оператора, таких как «День города - Норильск», «40 минут от Норильска», «Ангарская сосна идёт к океану», «Ледин и его героиня». Представлены численные результаты обработки полноценных кинокопий и визуальные результаты экспериментов, которые обеспечили улучшение визуальных характеристик оцифрованных киноматериалов. При этом большая часть эпизодов обрабатывалась покадрово сочетанием Topaz-инструментов. Дана оценка качества обработки в ImageDiscerner и представлены карты отличий и гистограммы сравнений кадров по Brightness (яркости), Solid Areas (сплошной области), Saturation (насыщению) и RGB для оцифрованных киноматериалов.
PREVALÊNCIA DAS COMPLICAÇÕES ASSOCIADAS À AUSÊNCIA DO PRIMEIRO MOLAR EM DADA POPULAÇÃO: ESTUDO RADIOGRÁFICO
Authors: Silva Xavier Pamela Karoline , Lima Morais Amanda Vitória , Gursen de Miranda Arraes Isabela , Barbosa Freitas Larissa Victória , Souza de Macêdo Maria Eduarda , Almeida de Andrade Wagner , Ferreira de Medeiros João Marcelo , De Carvalho Pedro Luiz
Published: June 2023

Este estudo avaliou o a frequência das perdas de primeiros molares permanentes de pacientes usuários das clínicas odontológicas de uma instituição pública de ensino superior por radiografias panorâmicas, além de pontuar as principais consequências dessa perda na cavidade bucal. Este foi um estudo retrospectivo de 1.000 radiografias panorâmicas de pacientes atendidos em um curso de Odontologia. A faixa etária foi de 7 a 55 anos e observou-se as consequências relacionadas a perda do primeiro molar permanente. Os resultados revelaram que na amostra estudada o dente mais ausente foi o inferior direito, seguido do inferior esquerdo, superior direito e superior esquerdo. Ainda, as principais consequências da perda do primeiro molar foram mesialização do segundo molar, seguido de migração de dentes anteriores e posteriores, giroversão dos pré-molares, extrusão do antagonista e distalização do segundo pré-molar.
PERSPECTIVAS CONTEMPORÂNEAS NA COBRANÇA DE ALIMENTOS: UMA ANÁLISE DA EFETIVIDADE JURÍDICA DAS MEDIDAS COERCITIVAS INDIRETAS
Authors: Costa Ribeiro Marcelo , Cristina Alves Ramalho Michele
Published: June 2023

Este artigo aborda as perspectivas contemporâneas na cobrança de alimentos, analisando a efetividade jurídica das medidas coercitivas indiretas no Direito brasileiro. A inadimplência alimentar compromete a dignidade da pessoa humana e, diante da insuficiência das medidas coercitivas diretas, como prisão civil, medidas indiretas têm sido adotadas para garantir o cumprimento da obrigação alimentar. O estudo utiliza uma abordagem qualitativa e dedutiva, analisando legislação, doutrina, jurisprudência e artigos científicos. Os objetivos alcançados envolvem a compreensão da aplicabilidade e efetividade de medidas coercitivas indiretas, como a suspensão da Carteira Nacional de Habilitação (CNH), apreensão do passaporte, bloqueio de contas bancárias e cartões de crédito. A pesquisa mostra que essas medidas se revelam mais efetivas do que a prisão civil, pressionando o devedor sem violar seus direitos fundamentais. A aplicação das medidas coercitivas indiretas deve ser analisada caso a caso, considerando as particularidades de cada situação e respeitando os direitos fundamentais do devedor. A cobrança de alimentos é uma questão social relevante, que envolve a proteção da dignidade humana e a minimização das desigualdades sociais, demandando políticas públicas efetivas e fortalecimento dos mecanismos de cobrança. O artigo conclui que as medidas coercitivas indiretas representam uma nova perspectiva na cobrança de alimentos no Brasil, sendo uma alternativa efetiva e menos gravosa à prisão civil. Operadores do direito e a sociedade devem atuar no sentido de garantir a efetividade da cobrança de alimentos e a proteção dos direitos humanos fundamentais dos alimentandos.
PROCESSO PENAL DO ESPETÁCULO E A VIOLAÇÃO DO PRINCÍPIO DA PRESUNÇÃO DE INOCÊNCIA
Authors: Pila Kauanna Teixeira Sobral , Do Vale Pedro Alexandrino , Leonel Juliano de Oliveira
Published: June 2023

A sociedade confiou à imprensa a legitimidade (extraoficial) para combater o crime e servir de fiscal do sistema penal estatal. Todavia, sob a tutela do interesse público, o meio de comunicação midiático investiga, julga e condena a partir de um processo de exposição de (supostos) delinquentes ao qual, pode- se chamar de (indevido) processo criminal midiático. Em consequência, o processo penal, instrumento de fundamentação do poder penal, para atender à finalidade de entreter, acaba por sofrer uma modificação. Portanto, no processo espetacular não há diálogo ou a construção dialética para solucionar o caso penal. A pesquisa tem por objetivo revisar a bibliografia do processo penal acerca da espetacularização midiática; discutir a influência da mídia na sociedade ocasionada pelas redes sociais e televisivas e expor as consequências da violação do princípio da presunção de inocência decorrentes da espetacularização do processo penal. Foi desenvolvida através de uma pesquisa bibliográfica narrativa, do tipo dedutiva, no período de agosto de 2022 a abril de 2023, através do levantamento de livros, artigos, teses, dissertações, legislações e doutrinas, nas seguintes bases de dados: SCIELO, Periódicos Capes e Revistas Jurídica. Por fim, espera-se contribuir para construção de novas discussões acadêmicas, para o entendimento de que a prática desse tipo de conduta da mídia ainda é pouco analisada e debatida. Logo, o artigo será de grande valia para estudantes e profissionais da área, por conter reflexões a cerca da espetacularização da mídia.
OS DESAFIOS DA RECOMPOSIÇÃO DAS APRENDIZAGENS NO PÓS- PANDEMIA: UM ESTUDO NA EEMTI TABELIÃO JOSÉ PINTO QUEZADO
Authors: Carvalho Dias da Silva Alvaro , Pereira Correia Jorge Luiz , Neves Pereira Simone
Published: June 2023

Entre os anos de 2020 e 2021, vivenciamos uma pandemia a qual os professores e alunos tiveram que se adequar à nova realidade: o ensino remoto. Desde então, a tal modalidade de ensino tem sido um grande desafio para a educação brasileira, sobretudo a que é ofertada pelo sistema público, visto que há uma grande diversidade socioeconômica cultural, étnica, entre outras variáveis que interferem no processo formativo. O presente trabalho, por meio da metodologia de um estudo de caso, visou apresentar as dificuldades e estratégias desenvolvidas pelos docentes da instituição de ensino EEMTI Tabelião José Pinto Quezado em relação à recomposição das aprendizagens no Pós Pandemia. A partir dos resultados deste trabalho, foi possível perceber que as dificuldades se apresentaram de diversas formas sendo, por exemplo, o fato de o professor não estar familiarizado com as metodologias adotadas no ensino remoto bem como, a falta de recursos tecnológicos. Quando se observa a experiência com utilização das tecnologias informacionais, além das dificuldades presenciadas como a apropriação de tais ferramentas, alguns professores relataram que foi um grande desafio, porém um conhecimento que agregou significativamente para a sua formação, pois possibilita aos docentes estarem sempre preparados para eventuais situações.
Knowledge, Compliance and Attitude of Nursing Students towards Standard Precautions: A Cross-Sectional Study in a Tertiary Hospital
Authors: Zaini Noor Hanita , Z. Nazurah , L.A. Khatijah , S.A. Sharifah Shafinaz , N. Yahaya
Published: June 2023

Introduction: Knowledge, compliance, and attitudes toward the standard precaution guidelines are crucial to avoid contamination not only on patients but also on healthcare providers. Little is known regarding Malaysian nursing students’ knowledge, compliance, and attitudes toward standard precaution guidelines. The purpose of this study was to look into Malaysian nursing students’ knowledge, compliance, and attitudes towards standard precaution guidelines. Methods: This cross-sectional study was conducted among 337 Diploma nursing students who were chosen by simple random sampling. A self-invented questionnaire based on the CDC recommendations was administered to the participants and their responses were recorded. With a Cronbach’s alpha coefficient of 0.96, the instrument is reliable. The STROBE cross-sectional design process guideline was used as the study design. Results: Majority of the nursing students have adequate knowledge (n=222, 65.9%), adequate compliance (n=229, 68%) and good attitudes (n=171, 50.7%) with the standard precaution. The findings suggest an association between gender (p=0.005) and year of educational level (p=0.001) with the level of knowledge. There was also an association between the level of knowledge with the level of compliance (p=0.029) and the level of attitude (p=0.002) with standard precautions among the nursing students. Conclusion: Even though nearly two-thirds of the participants appeared to have adequate knowledge and compliance, only half of them have good attitudes with the standard precautions. This study indicates that although the students had adequate knowledge and compliance, measures are needed to foster compatible attitudes towards the standard precautions among the nursing students.
Assessing Countries’ Deceased Organ Donation and Transplantation Performance
Authors: Tumin Makmor , Tafran Khaled , Wan Md Adnan Wan Ahmad Hafiz , Osman Ahmad Farid
Published: June 2023

Introduction: Donors per million population and transplantations per million population are standardized, widely used indicators to assess and compare countries’ performance in organ donation and transplantation. This study aims to investigate these two particular metrics of organ donation and transplantation performance, and to introduce a new index, namely, ‘transplantations per patients on the waiting list’. Methods: Secondary analyses of data on 23 countries in 2016 were used to construct the transplantations per patients on the waiting list indicator for kidney, liver, pancreas, heart, and lung transplantation, as well as for the transplantation of any of the five aforementioned organs. Results: According to the transplantations per patients on the waiting list, the best-performing countries in terms of organ donation and transplantation are Belarus for kidney transplantation, Finland for liver and pancreas transplantation, Australia for heart transplantation, and France for lung transplantation. Considering all five organs together, Sweden, Australia, Finland, Austria, and Poland were the top five best-performing countries, followed by Spain in the sixth position. Conclusion: The deceased transplantations per patients on the waiting list can be an alternative indicator to assess performance, along with the widely-used donors and transplantations per million population, but still has its limitations in certain scenarios.
Polymorphism of Gene ACE I/D and Family History of Hypertension as the predisposition of Hypertension
Authors: Sudayasa I Putu , Husdaningsih Fera , Alifariki La Ode
Published: June 2023

Introduction: Hypertension is a polygenic disease that caused 45% of deaths. Various genes have been engaged with the pathogenesis of hypertension. One of these genes affects sodium homeostasis in the kidney, including the ACE I/D gene polymorphism. The present study aimed to investigate the relationship of family history of hypertension and ACE I/D gene polymorphism with the incidence of hypertension in coastal communities of Kendari City. Methods: The study was conducted using a case-control study design. The case group was hypertensive patients based on medical diagnostic by doctors, while the control group was healthy individuals without any records on hypertension. As many as 70 individuals residing in the coastal area of Kendari City were involved as samples of the study. Both case and control groups consisted of 35 individuals. Data collection techniques were carried out experimentally using the PCR-RFLP method. Results: The prevalence of I allele was found in individuals with a family history of hypertension (72.1%) as compared to the D allele (27.9%). The study also found a significant correlation between the family history of hypertension and ACE I/D gene polymorphism (p-value 0.001). However, there was no significant relationship between ACE I/D gene polymorphism and the incidence of hypertension in this population (p-value 0.631). Conclusion: Family history of hypertension was a risk factor for the incidence of hypertension. On the other hand, the polymorphism of ACE I/D gene was a protective factor towards the incidence of hypertension.
Representasi Image Anak Muda Dalam Budaya Ngopi
Authors: Dhaehasti Agustina Saputri  , Novia Budi Lestari  , Rolika Firinanda
Published: June 2023

Coffee culture among young people is often an activity that is seen as commonplace in modern society. Get together with friends while discussing simple and relaxed topics. Even at this time, cafes and angkringan are places to stop for young people when doing activities outside the home. Balanced with the growing sophistication of technology as a medium for distributing information as well as breaking into the space for innovation in global competition. Developments in technology and social media make it easier for young people to communicate, exchange ideas, and access the latest trending information. This condition then supports the coffee culture to be increasingly recognized by the public at large because of technological developments that have given rise to various social media, people are able to efficiently obtain information regardless of distance and time. This has an impact on young people so that it creates a consumptive mindset and behavior and forms a new lifestyle. In this research, researchers used qualitative methods with an ethnographic approach to analyze the image of young people formed as a result of a shift in coffee culture. The results of this study indicate that the image of young people who drink coffee today is constructed by the views of society. However, this view cannot be used as a reference in shaping individual social status.
Unleashing the Power of Machine Learning: A Comparative Study of Classification Algorithms for Credit Risk Assessment
Authors: Sandeep Shinde  , Satish Kale
Published: June 2023

Credit risk assessment is a critical task in the financial industry, enabling lenders to evaluate the likelihood of default and make informed lending decisions. This paper presents a comprehensive comparative study of classification algorithms for credit risk assessment using machine learning techniques. The paper commences by providing an overview of the importance of credit risk assessment and the challenges faced by traditional methods. It then delves into the exploration of various machine learning algorithms, including logistic regression, decision trees, random forests, support vector machines, and neural networks, highlighting their potential in credit risk assessment. The objective of this study is to compare the performance of different classification algorithms in credit risk assessment. To achieve this, a dataset comprising historical credit data, including borrower information, financial indicators, and repayment history, is collected. The dataset is preprocessed to handle missing values, outliers, and feature engineering is applied to extract relevant predictors. A comprehensive evaluation is conducted, considering performance metrics such as accuracy, precision, recall, and area under the receiver operating characteristic curve (AUC-ROC). The comparative study provides insights into the strengths and weaknesses of each algorithm and their suitability for credit risk assessment in different scenarios. The results of this study contribute to the existing literature on credit risk assessment and offer practical guidance for financial institutions in selecting appropriate machine learning algorithms. Furthermore, the paper discusses potential challenges and limitations associated with the application of machine learning in credit risk assessment and proposes future research directions.
Ethical Hacking: A Solution for Most Dangerous Threat
Authors: Asmita A. Jagtap
Published: June 2023

An ethical hacker is the network specialist and computer, who dive into some security systems seeking responsibility that could be exploited by a malicious hacker. The purpose of ethical hacking can be to deal with the breaches of cyber security with the knowledge of laws and also can be to build an effective cyber security wall against your organization. An ethical hacker can help the people who are suffered by the malicious hacking. Ethical hacker can analyse the vulnerabilities before the attacker may strike. It can help people to recovery the lost information and to perform penetration testing to strengthen computer and the network security. This paper describes about ethical hacking and aspects of ethical hacking
Deep Learning on Traffic Prediction Methods Analysis and Future Directions
Authors: M. Sathyanarayana  , K Akshay Reddy
Published: June 2023

Accurate traffic forecasting is essential for intelligent transportation frameworks. Course arranging, vehicle dispatch, and facilitating gridlock may all profit from precise traffic anticipating. This challenge is difficult due to the complex and dynamic spatiotemporal relationships that exist between various segments of the road network. This topic has recently received a lot of research attention, particularly the deep learning method, which has significantly improved traffic forecasting abilities. This work expects to introduce a far reaching assessment of traffic prediction strategies in view of deep gaining according to different points of view. To get things started, we'll summarize and classify the current methods for traffic forecasting. Second, we discuss the most recent approaches utilized in various applications for traffic prediction. Thirdly, to help different specialists, we gather and organize generally utilized public datasets from the ongoing writing. In addition, we conduct extensive investigations to evaluate the display of various methodologies on a genuine public dataset in order to provide an evaluation and examination. In conclusion, we examine irritating issues in this area.
Faktor Yang Berhubungan Dengan Kejadian Stunting Pada Balita Di Wilayah Kerja Puskesmas Tanralili Maros
Authors: Esse Puji Pawenrusi  , Nia Kurnia Djalil  , Nasmiati
Published: June 2023

Stunting menjadi masalah kesehatan di dunia dan Indonesia. Indonesia masuk ke dalam negara ketiga dengan prevalensi tertinggi di Asia Tenggara. Masalah gizi di Indonesia sangat marak, terutama masalah gizi pada balita yang dapat menyebabkan stunting. Stunting merupakan gangguan pertumbuhan akibat kekurangan gizi kronis sehingga anak lebih pendek dari usianya, dengan nilai z-score TB/U kurang dari -2 SD. Tujuan penelitian ini untuk mengetahui faktor yang berhubungan dengan kejadian stunting pada balita di wilayah kerja Puskesmas Tanralili Maros. Jenis penelitian yang digunakan bersifat analitik observasional dengan pendekatan cross sectional. Populasi penelitian yaitu orang tua yang mempunyai balita yang tinggal di wilayah kerja Puskesmas Tanralili Maros yang berjumlah 365 balita yang menderita stunting. Teknik pengambilan sampel yang digunakan dalam penelitian ini adalah purposive sampling dengan jumlah sampel 78 balita. Instrumen pengumpulan data dalam penelitian ini menggunakan kuesioner dan antropometri dimana dilakukan pengukuran tinggi badan menggunakan microtoise, dan pemeriksaan berat badan menggunakan timbangan. Hasil penelitian didapatkan dengan menggunakan uji chi-square menunjukkan nilai p-value BBLR 0,001 < 0,05, ASI eksklusif nilai p-value 0,037< 0,05, dan pendapatan keluarga dengan nilai p-value 0,005< 0,05. Hal ini berarti ada hubungan BBLR, ASI eksklusif, dan pendapatan keluarga dengan kejadian stunting pada balita di wilayah kerja Puskesmas Tanralili Maros. Simpulan dari penelitian ada hubungan BBLR, ASI eksklusif, dan pendapatan keluarga dengan kejadian stunting pada balita di wilayah kerja Puskesmas Tanralili Maros. Maka diharapkan bagi petugas kesehatan untuk dapat menyelenggarakan promosi/edukasi tentang stunting dan dampak dari kejadian stunting pada balita sehingga orang tua dapat melakukan tindakan untuk mencegah terjadinya stunting.
SYSTEMATIC LITERATURE REVIEW STRATEGI DIGITAL LEADERSHIP PADA ERA SOCIETY 4.0
Authors: Budiarti Sari
Published: June 2023

Era Society 4.0 menuntut pemimpin organisasi untuk berinovasi menemukan metode untuk mengembangkan kapasitas gaya pimpinan. Digital leadership adalah salah satu bentuk kepemimpinan yang tepat diterapkan saat ini. Penelitian ini dilakukan guna mengetahui strategi digital leadership di era society 4.0 yang dilakukan oleh pimpinan pada lembaga/perusahaan. Metode penelitian menggunakan systematic literature review (SLR) melalui bantuan VOS Viewer, dengan mensistesis penelitian terdahulu untuk menjawab pertanyaan penelitian. Hasil penelitian ini mengungkapkan terdapat 15 artikel yang telah diseleksi dari 50 artikel yang sesuai dengan bahasan untuk setiap bab yang dipaparkan. Berdasarkan hasil literature review dapat di simpulan bahwa ditemukan tiga strategi digital leadership yang bisa dipilih di era society 4.0 yaitu sistem berpikir, kecerdasan kontekstual, dan strategi metakognitif
PENGARUH PRODUK DOMESTIK REGIONAL BRUTO (PDRB) DAN JUMLAH PENDUDUK TERHADAP TINGKAT PENGANGGURAN PROVINSI JAWA BARAT 2013-2020
Authors: Virda Handayani Siti
Published: June 2023

Peneletian yang dilakukan oleh peneliti memiliki tujuan yakni melakukan analisis pengaruh Produk Domestik Regional Bruto (PDRB) dan jumlah penduduk pada tingkat pengangguran periode 2013-2020 di Provinsi Jawa Barat. Penggunaan metode kuantitatif deskriptif dengan analisis regresi data panel dilakukan peneliti dalam melakukan penelitian. Pengumpulan data menggunakan teknik data sekunder yang didapat dari Badan Pusat Statistik (BPS) di Jawa Barat menggunakan bantuan aplikasi e-views 9. Hasil yang ditunjukkan dalam penelitian ini ialah variabel PDRB memengaruhi tingkat pengangguran secara signifikan dan negatif dengan besar probabilitas senilai 0.0801 dan besar koefisien senilai -1.738114. Sedangkan diperoleh hasil dari jumlah penduduk terhadap pengangguran yang menunjukkan adanya pengaruh signifikan dan positif dengan besar probabilitas senilai 0.0801 dan besar koefisien senilai 6.661633 persen
STRATEGI KOMUNIKASI PEMASARAN DYNAMICA PHOTO CINEMA UNTUK MENINGKATKAN PELANGGAN
Authors: Randicha Hamandia Muhammad , Amelia Rizki
Published: June 2023

Penelitian ini berjudul â€œStrategi Komunikasi Pemasaran Dynamica Photo Cinema Untuk Meningkatkan Pelangganâ€. Dengan banyaknya persaingan bisnis di Indonesia, banyak pebisnis yang harus memikirkan tentang pentingnya strategi komunikasi pemasaran dalam memasarkan produk nya berupa barang atau jasa. Dynamica Photo Cinema adalah jasa fotografi di Kota Palembang yang bergerak di bidang seni kreatif berdasarkan hobi suatu kelompok anak muda yang berkembang menjadi bisnis kreatif. Namun, dengan banyaknya jasa fotografi di Palembang, dibutuhkan strategi yang tepat dalam meningkatkan pelanggan. Oleh karena itu, Dynamica Photo Cinema telah menerapkan strategi komunikasi AIDDA dalam mempromosikan dan mengenalkan produknya kepada masyarakat. Tujuan penelitian ini adalah untuk mengetahui strategi komunikasi pemasaran yang dilakukan Dynamica Photo Cinema untuk meningkatkan pelanggan. Penelitian ini menggunakan metode kualitatif dengan mengumpulkan data melalui wawancara, observasi dan dokumentasi. Hasil penelitian yang peneliti lakukan ini bahwa peneliti menggunakan strategi komunikasi pemasaran AIDDA yang berupa Attention (Perhatian), Interest (Rasa tertarik/minat), Desire (Hasrat/Keinginan), Decission (Keputusan), dan Action (Tindakan) untuk mengetahui strategi komunikasi pemasaran yang diaplikasikan Dynamica Photo Cinema dalam usaha peningkatkan jumlah pelanggan di Dynamica Photo Cinema
Tengelmann sieht sich auf der sicheren Seite
Authors: Bender Hanno
Published: June 2023

Falls der verschollene Karl-Erivan Haub doch noch leben sollte, hätte dies keine Konsequenzen für den Tengelmann-Konzern. Das sagte der Anwalt des Unternehmenschefs der LZ.
RTG legt sich mit Nestlé an
Authors: Mende Jan , Schulz Hans-Jürgen
Published: June 2023

Globus, Tegut und die anderen sieben Mitglieder der Händlerkooperation RTG bekommen nicht mehr alle Nestlé-Marken. Mit dem Lieferstopp will der Nahrungsmittelkonzern höhere Preise durchboxen.
Getir stellt in Deutschland auf Franchise um
Authors: Klug Denise
Published: June 2023

Auch in Deutschland will der Quick-Commerce-Anbieter Getir nun alle seine Stores an Franchisenehmer übergeben. Das könnte eine Strategie sein, um Kosten und Risiko auszulagern.
Preise für Milchfrische unter Druck
Authors: Lenders Dirk , Murmann Christoph
Published: June 2023

In Kürze gelten neue Lieferverträge für Milchbasisprodukte und veredelte Artikel der Weißen Linie. Sie sehen niedrigere Einkaufspreise vor. Welcher Händler wann und in welcher Höhe die Verkaufspreise senkt, ist unklar.
San Lucar will Prozesse in Echtzeit erfassen
Authors: Krönert Alrun
Published: June 2023

San Lucar arbeitet mit dem Softwareentwickler Hispatec Agrointeligencia zusammen. Künftig sollen Informationen über sämtliche Obst- und Gemüsebetriebe in Echtzeit zur Verfügung stehen.
Revision der Ernährungsempfehlungen sorgt für Wirbel
Authors: Falker Gerrit-Milena
Published: June 2023

Die DGE will ihre Ernährungsempfehlungen „mit einem mathematischen Modell“ weiterentwickeln. Ein hieraus kolportierter Wert – „10g Wurst pro Tag“ – sorgt für leidenschaftliche Debatten in Social Media.
Mercosur nur mit Vertragsergänzung
Authors: Schirmacher Henrike
Published: June 2023

Berlin. Die grünen Bundesminister Robert Habeck und Cem Özdemir setzen sich für den Abschluss des Handelsabkommens zwischen der EU und dem Mercosur ein. Die Bundestagsfraktion signalisiert Rückenwind. Aber pocht auf einen effektiveren Waldschutz.
Warum wir uns immer die falschen Netzwerke aufbauen
Authors: Brust Martin
Published: June 2023

Netzwerken! Die Top-Empfehlung für eine erfolgreiche Karriere. Zwei Forscher aus Berlin aber haben herausgefunden, dass viele Beschäftigte sich die falschen Netzwerke aufbauen. Diese sind dann nicht nur wirkungslos, sondern können uns sogar behindern.
Food-Lab-Update
Authors: Deininger Olaf
Published: June 2023

Frankfurt a.M. Hier der monatliche Überblick der aktuellen Projekte und Aktivitäten der Food Labs und Food Hubs.
Utilizing an Entity-level Semantic Analysis Approach Towards Enhanced Policy Making
Authors: Manias George , Sanguino Maria Angeles , Salmeron Sergio , Mavrogiorgou Argyro , Kiourtis Athanasios , Kyriazis Dimosthenis
Published: June 2023

The tremendous growth and usage of social media in modern societies have led to the production of an enormous real-time volume of social texts and posts, including tweets, that are being produced by users. These collections of social data can be potentially useful, but the extent of meaningful data in these collections is still of high research and business interest. One of the main elements in several application domains, such as policy making, addresses the scope of public opinion analysis. The latter is recently realized through sentiment analysis and Natural Language Processing (NLP), for identifying and extracting subjective information from raw texts. An additional challenge refers to the exploitation and correlation of the sentiment that can be derived for different entities into the same text or even a sentence to analyze the different sentiments that can be expressed for specific products, services, and topics by considering all available information that can be depicted within a text in a holistic way. Hence, this paper evaluates the utilization of an Entity-Level Sentiment Analysis (ELSA) approach on Twitter Data. The latter seeks to enhance the knowledge derived from tweets with the ultimate objective the overall enhancement of the policy making procedures of modern organizations and businesses.
Multimodal Transformer for Risk Classification: Analyzing the Impact of Different Data Modalities
Authors: Holtz Niklas , Gomez Jorge Marx
Published: June 2023

Risk classification plays a critical role in domains such as finance, insurance, and healthcare. However, identifying risks can be a challenging task when dealing with different types of data. In this paper, we present a novel approach using the Multimodal Transformer for risk classification, and we investigate the use of data augmentation for risk data through automated retrieval of news articles. We achieved this through keyword extraction based on the title and descriptions of risks and using various selection metrics. We evaluate our approach using a real-world dataset containing numerical, categorical, and textual data. Our results demonstrate that the use of the Multimodal Transformer for risk classification outperforms other models that only utilize textual data. We show that the inclusion of numerical and categorical data improves the performance of the model, particularly for risks that are difficult to classify based on textual data alone. Additionally, our research indicates that the utilization of data augmentation techniques yields enhanced performance outcomes in models. This methodology presents a promising avenue for enterprises to effectively mitigate risks and make well-informed decisions.
CMLM-CSE: Based on Conditional MLM Contrastive Learning for Sentence Embeddings
Authors: Wei ZHANG , Xu CHEN
Published: June 2023

Traditional comparative learning sentence embedding directly uses the encoder to extract sentence features, and then passes in the comparative loss function for learning. However, this method pays too much attention to the sentence body and ignores the influence of some words in the sentence on the sentence semantics. To this end, we propose CMLM-CSE, an unsupervised contrastive learning framework based on conditional MLM. On the basis of traditional contrastive learning, an additional auxiliary network is added to integrate sentence embedding to perform MLM tasks, forcing sentence embedding to learn more masked word information. Finally, when Bertbase was used as the pretraining language model, we exceeded SimCSE by 0.55 percentage points on average in textual similarity tasks, and when Robertabase was used as the pretraining language model, we exceeded SimCSE by 0.3 percentage points on average in textual similarity tasks.
Awareness and Risk Factors of Colorectal Polys of Selected Adults in Imo State Nigeria
Authors: Ibe right Ugochukwu , Oparaocha Evangeline T. , Nwaokoro Joachim
Published: June 2023

Background One of the greatest health issues in the world is colorectal cancer. It was formerly believed that this illness only affected residents of industrialized nations; however, recent research has shown a growing prevalence in underdeveloped nations. The majority of individuals in Nigeria report their cases at a stage when curative resection is not feasible; hence, increasing understanding and awareness of early symptoms as well as early detection techniques and screening tools have been highlighted as crucial for greater success. Aim This study elucidated the awareness, knowledge, and risk factors of colorectal polyps among studied adults aged 40–65 years of age in Imo State, Nigeria. Methods The sample of the study comprised a thousand (1000) adults drawn through a multistage sampling selection method and included urban and rural dwellers in selected communities in Imo State, Nigeria. A pre-tested, semi-structured questionnaire was the main instrument of data collection for awareness, knowledge, and risk factors for colorectal polyps. Statistical Package for Social Sciences (SPSS) Version 17 was used for analysis. Results Findings showed that more than half of the respondents (62.5%) were aware of colorectal polyps; however, factors such as lack of funds (34.8%), inaccessibility to screening services (24.0%), absence of screening facilities (24.5%), and passive behavior towards screening service providers (31.8%) in healthcare centers affected regular screening among participants. Respondents possessed good knowledge of colorectal polyps, although there is a need for thorough sensitization on the risk factors of colorectal polyps, especially lifestyle behaviors. People who smoked more cigarettes per day were found to be more likely to develop colorectal polyps (AHR 1.878; 95% CI 1.018–3.463; P = 0.044) than those who smoked less (AHR 1.811; 95% CI 1.003–3.270; P = 0.049). The study found that subjects with both smoking and drinking habits had a significantly higher risk for colorectal polyps (AHR 2.073; 95% CI 1.196–3.593; P = 0.009) than non-smokers and those who drank fewer alcoholic drinks. Conclusion Relevant educational and screening interventions are required to promote early detection and management of colorectal polyps among adults in Imo State, Nigeria.
Thực trạng sử dụng các biện pháp tránh thai của các cặp vợ chồng trong độ tuổi sinh sản tại xã Kiến Quốc, huyện Kiến Thụy, Thành phố Hải Phòng năm 2022
Authors: Ngọc Phạm Thị , Giang Đỗ Thị Hương , Giang Hoàng Thị , Phước Nguyễn Bá
Published: June 2023

Nghiên cứu mô tả cắt ngang trên 320 cặp vợ chồng trong độ tuổi sinh sản từ 19 - 49 tuổi thuộc xã Kiến Quốc, huyện Kiến Thụy, Thành phố Hải Phòng thực hiện từ tháng 11/2021 đến tháng 5/2022 nhằm mô tả thực trạng sử dụng các biện pháp tránh thai của các cặp vợ chồng trong độ tuổi sinh sản. Kết quả nghiên cứu cho thấy: Tỷ lệ các cặp vợ chồng sử dụng các biện pháp tránh thai (BPTT) là 63,7%, chủ yếu là sử dụng bao cao su (BCS) với 39,2%. Lý do các cặp vợ chồng hiện không sử dụng các BPTT: Mang thai ngoài ý muốn (37,1%); tác dụng phụ/ tai biến (25,9%). Tỷ lệ có thai ngoài ý muốn của các cặp vợ chồng là 32,5%; trong đó 32,7% lựa chọn phá thai. Tỷ lệ tham gia các buổi truyền thông về kế hoạch hóa gia đình (KHHGĐ) thấp (vợ: 30,0%; chồng: 22,50%). Chính quyền địa phương cần tăng cường công tác truyền thông, tư vấn về sức khỏe sinh sản/Kế hoạch hóa gia đình (SKSS/KHHGĐ) cho người dân đặc biệt nhóm vợ chồng trong độ tuổi sinh sản.
Tình trạng dinh dưỡng và một số yếu tố liên quan của sinh viên Y đa khoa năm nhất trường Đại học Y Dược Hải Phòng năm 2022
Authors: Thắng Vũ Quang , Anh Hoàng Thị Huệ , Ngọc Nguyễn Minh , Thắm Nguyễn Thị , Linh Nguyễn Thị Thùy
Published: June 2023

Một nghiên cứu mô tả cắt ngang được thực hiện từ tháng 11 năm 2021 đến tháng 5 năm 2022 nhằm mô tả thực trạng dinh dưỡng và yếu tố liên quan của sinh viên Y đa khoa năm nhất trường Đại học Y Dược Hải Phòng. Kết quả nghiên cứu cho thấy: Chỉ số BMI trung bình của sinh viên nam (20,5 ± 2,8kg/m2) cao hơn có ý nghĩa so với sinh viên nữ (19,8 ± 2,3kg/m2) với p < 0,05. Tỉ lệ sinh viên thiếu năng lượng trường diễn là 23,4%; thừa cân – béo phì là 6,3%. Tỷ lệ thừa cân – béo phì của sinh viên là 6,3%. Sự khác biệt về tình trạng dinh dưỡng giữa nam và nữ; giữa sinh viên có thói quen tập thể dục và không tập thể dục có ý nghĩa thống kê với p < 0,05. Tỉ lệ thiếu năng lượng trường diễn và thừa cân – béo phì của sinh viên Y khoa năm nhất trường Đại học Y Dược Hải Phòng còn cao theo ngưỡng đánh giá mức độ phổ biến trong cộng đồng theo Tổ chức Y tế Thế giới.
The impact of online delivery on the Financial Accounting III curriculum : a student perspective at Durban University of Technology (DUT)
Authors:   , Joshua Kim Mary
Published: June 2023

The study aimed to determine whether the current online technological platforms support teaching, learning and assessment of the Financial Accounting III (FA3) module at the Durban University of Technology. The study explored the effectiveness of the emergency change of the Financial Accounting III module curriculum delivery on students’ ability to learn and be assessed. This study also examined the impact of online accounting curriculum delivery on the Financial Accounting III students at Durban University of Technology, Durban. The following questions premised the research. Is the online curriculum effective in supporting all Financial Accounting III students’ learning? What are the challenges experienced by Financial Accounting III students in terms of the change to online curriculum delivery? What must be done to enhance online curriculum delivery to promote students’ learning and performance? The researcher adopted a quantitative method for the study. A census approach allowed the entire population of 800 students completing the Financial Accounting III modules an equal opportunity to participate in this study. The study revealed that 34% of the target population gave feedback on their experience. The target population of Financial Accounting III students were selected due to their experience with both traditional and online pedagogies in their diploma qualifications. This study’s findings revealed that students have adjusted to how they experience teaching, learning and assessments. The study revealed an urgent need to train students and facilitators. Due to the global Covid-19 pandemic, the transition from traditional to online pedagogy took place with very little student and academic training. Interestingly, Financial Accounting III students embraced the pedagogical change. Even though the two technological platforms used during this transition phase of curriculum delivery did not cater for discipline-specific needs, these online platforms were user-friendly and easy to connect with academic staff, tutors, and peers.
Tratamiento de primera línea para erradicación de Helicobacter pylori: todavía una terapia eficaz
Authors: Vargas-Jiménez Jose , Campos-Núñez Christian
Published: June 2023

Objetivo: Este estudio tiene como objetivo  principal determinar la respuesta al esquema de tratamiento de primera línea con triple terapia estándar (amoxicilina, claritromicina, omeprazol), para erradicación de Helicobacter pylori en una determinada población, para determinar si este esquema propuesto en guías internacionales es aún una opción adecuada para pacientes en una determinada región de Costa Rica.Métodos: Se realizó una búsqueda en el servicio de gastroenterología del Hospital San Francisco de Asís, Grecia, Alajuela, Costa Rica; de todos los pacientes con infección por Helicobacter pylori y que recibieron tratamiento de primera línea con triple terapia (amoxicilina, claritromicina y omeprazol) por 14 días, en el periodo comprendido entre febrero 2017 a febrero 2019, incluyendo para el análisis solamente en los que se contaba con una prueba confirmatoria posterior a tratamiento, ya fuera por antígeno fecal de H. pylori o biopsia convencional.Resultados: Se identificaron un total de 369 casos. El diagnóstico se realizó con biopsiaen el 96,4% de los pacientes. La respuesta al tratamiento de primera línea se alcanzó enun 90.5% corroborada por antígeno fecal en el 92.1% de los casos.Conclusiones: Este estudio muestra que la terapia triple con amoxicilina, claritromicina e Inhibidor de bomba de protones por 14 días mantiene un adecuado nivel de eficacia. Sin embargo, hay que tomar en cuenta que estos datos son únicamente de un área de atracción determinada y puede que no reflejen la realidad de todo el país.
Causa inusual de cianosis en el recién nacido: hemoglobina M
Authors: Orduz-Illidge Carolina , Granados-Alfaro Paola , Acevedo-Viales Karol , Valverde-Munoz Kathia , Morales-Aguilar David , Solano-Tenorio Natalia
Published: June 2023

La hemoglobina M es un desorden hereditario infrecuente, causante de metahemoglobinemia y, por ende, cianosis. Las manifestaciones clínicas de esta enfermedad son amplias y variadas, por lo que se debe considerar como diagnóstico diferencial en un recién nacido con cianosis sin otra causa aparente. A continuación, se presenta el caso de un recién nacido de 5 horas de vida con cianosis generalizada desde el nacimiento y con saturaciones de oxígeno de entre 60-70%, en el que se descartaron patologías como hipoxia perinatal, patología pulmonar o cardíaca y sepsis y se documentó un nivel de metahemoglobina elevado, reportado en 21,6%, con lo cual se estableció el diagnóstico de metahemoglobinemia. El tratamiento administrado fueron dos dosis de azul de metileno, pero no hubo respuesta clínica. Por este motivo, se realizó electroforesis de hemoglobina, la cual fue compatible con hemoglobina M (Iwate o Kankakee), lo que se confirma su causa congénita de  metahemoglobinemia.
Valor añadido de las interconsultas con otras especialidades médicas en el peritaje médico legal
Authors: Hernández-Salazar Brenda , Chavarría-Segura Melissa , Flores-Sandí Grettchen
Published: June 2023

La pericia médico legal es compleja y su resultado debe estar fundamentado considerando el análisis de varios elementos de juicio, como: la historia médico legal, el examen físico, el análisis de los expedientes médicos, estudios de laboratorio e imágenes radiológicas y en algunos casos, inclusive una interconsulta realizada a otros especialistas. El perito médico forense utiliza la interconsulta a especialistas para solventar la brecha que existe entre el conocimiento profesional y específico que posee una especialidad y una interrogante médico legal, por lo que difiere en gran manera en el objetivo, formulación y resultado de una interconsulta médica hospitalaria. Por esta razón, esta reflexión pretende contextualizar la importancia del recurso de interconsulta médica dentro del análisis pericial forense, que es un tema poco conocido en la medicina asistencial, y justificar la relevancia de la educación médica continua para los médicos especialistas que realizan las interconsultas y para quienes las solicitan.
A Framework for An Integrated E- Government System for Public Service Sectors in Developing Countries Using Design Science Research Methodology
Authors: Rijarua Yolande , Osakwe Jude
Published: June 2023

This study aimed to develop an integrated framework to enhance government services and improve service delivery for the Namibian government. The Delone and McLean Information Systems success model and the Organizational Information Processing Theory served as the theoretical foundations for this study. The target population consisted of members of the public and a Government Ministry in Namibia. A sample size of 25 participants was selected for the study, utilizing the purposive sampling technique for government employees and the snowball sampling technique for members of the public. Thematic analysis was employed to analyze the data gathered. The study's findings revealed several significant insights. Despite the existence of multiple e-government systems, poor integration among them hindered the ability of the Namibian public service to provide effective and efficient services to citizens. Additionally, the study identified a strong demand from the public for services to be more accessible, convenient, and responsive, including a preference for online applications and faster service delivery. Moreover, the study developed an integrated e-government framework specifically tailored for the Namibian public service, aiming to enhance accessibility, convenience, responsiveness, and cost-effectiveness of services provided to citizens. The implementation of this framework is expected to promote an open and accountable government. It is crucial to emphasize that the successful achievement of e-Government goals relies on factors such as political leadership, support across all government levels, key infrastructure, skilled human resources, a suitable legal and regulatory framework, information resources, and citizen-centric services.
Machine Learning Approach for Credit Score Predictions
Authors: Mokheleli Tsholofelo , Museba Tinofirei
Published: June 2023

This paper addresses the problem of managing the significant rise in requests for credit products that banking and financial institutions face. The aim is to propose an adaptive, dynamic heterogeneous ensemble credit model that integrates the XGBoost and Support Vector Machine models to improve the accuracy and reliability of risk assessment credit scoring models. The method employs machine learning techniques to recognise patterns and trends from past data to anticipate future occurrences. The proposed approach is compared with existing credit score models to validate its efficacy using five popular evaluation metrics, Accuracy, ROC AUC, Precision, Recall and F1_Score. The paper highlights credit scoring models’ challenges, such as class imbalance, verification latency and concept drift. The results show that the proposed approach outperforms the existing models regarding the evaluation metrics, achieving a balance between predictive accuracy and computational cost. The conclusion emphasises the significance of the proposed approach for the banking and financial sector in developing robust and reliable credit scoring models to evaluate the creditworthiness of their clients.
Classification of Explicit Songs Based on Lyrics Using Random Forest Algorithm
Authors: Dwiyani Luh Kade Devi , Suarjaya I Made Agus Dwi , Rusjayanthi Ni Kadek Dwi
Published: June 2023

This study focuses on the potential negative impact of explicit songs on children and adolescents. Although an explicit song labeling program is currently in place, its coverage is limited to songs released by artists affiliated with the Recording Industry Association of America (RIAA). Consequently, songs falling outside the program's scope remain inadequately labeled. To address this issue, a machine learning model was developed to effectively classify explicit songs and mitigate mislabeling challenges. A comprehensive dataset of song lyrics was collected using web scraping techniques for the purpose of constructing the classification model. The model was trained using the TF-IDF vectorization method and the random forest algorithm. A meticulous comparison of distribution parameters was conducted between the training and testing data sets to determine the optimal model. This superior model achieved a training-testing data distribution ratio of 90:10, with an impressive accuracy of 96.3%, precision of 99.3%, recall of 93.5%, and an f1-score of 96.3%. The classification results revealed that explicit songs accounted for 39.22% of the dataset, and the visual representation highlighted the fluctuating prevalence of explicit songs over time. Additionally, the hip-hop/rap genre exhibited the highest proportion of explicit songs, reaching a staggering 92%.