bluuebunny/crossref_metadata_2025 huggingface dataset:
UQ Voices: Building a Community Choir for International Students Following the Global Pandemic
Authors: Bos Vicki , Han Rong , Wiebusch Fiona , Broughton Mary , Dingle Genevieve
Published: November 2024

International university students in Australia were among the most marginalised during the COVID-19 pandemic due to travel and physical distancing restrictions, a lack of government financial support, and a rise in xenophobia. Choir singing promotes social connectedness and a sense of belonging, and these effects may be particularly evident among marginalised individuals. There have been some studies of university choirs including multicultural university choirs, but none so far conducted in the context of the pandemic and its aftermath. To address this knowledge gap, this study examined how a choir for international students was developed to promote social connections and build a sense of community for members following the lifting of COVID restrictions and the return of international students to Australian universities. The study used participatory observation by five choir leaders from the disciplines of music education, teaching of English as a second language, an international student, music psychology, and clinical psychology, together with a content analysis of written feedback from 76 choir members (77% female, mean age = 25 years, from 20 countries) about their experiences as they joined the choir. The process of promotion and recruiting members for the choir, principles and musical methods, the digital systems used, and the shared leadership approach were described. The content analysis of feedback about the positives and the challenges revealed four themes: social effects (make new friends, be part of a team, sense of belonging), leadership (creating a great atmosphere, welcoming, the teachers’ qualities), emotional effects (feel relaxed, happy, stress relief, fun) and new learning (English language skills, music/singing skills). Social and emotional effects were more commonly mentioned in the positive feedback while the new learning theme appeared commonly in the challenges (e.g., difficulties following conversations, learning lyrics, learning new songs). The study shows preliminary evidence that choir singing is an innovative way to develop student social and community connections across institutional, cultural and language divides.
Genesis 1:1-2:3 as an Example of an Ancient Near Eastern Dramatic Sevenfold Literary Pattern (Not a Temple Inauguration Text)
Authors: Huggins Ronald V.
Published: November 2024

In the literature of the ancient Near East, the number seven expresses the idea of fullness, completeness, consummation, and the carrying out of a matter to its fully sufficient or fitting length or extent. In connection with this idea, there arose an ancient Near Eastern sevenfold literary pattern that involved a building of dramatic tension over six units--often days--aided by repetitive language, a tension that is then resolved upon or immediately after the seventh unit. The use of this pattern is widely attested in Sumerian, Assyrian, Babylonian, and Ugaritic texts. This article argues that it is also attested in a Hebrew text, namely the creation account of Genesis 1:1-2:3, this time framed in terms of six days of labor giving way to a seventh day of rest (cf. Exod. 20:8-11). This view is contrasted at certain points with the "temple-text" reading of Genesis 1:1-2:3, as represented especially in John H. Walton's "cosmic temple inauguration" view.
King, Priest, Prophet, and Climate Science: Ecological Implications of the Threefold Office
Authors: van den Brink Gijsbert
Published: November 2024

What would Jesus do in response to contemporary global climate change? This question, though in itself necessarily speculative, is addressed here by applying the ecumenical doctrine of Christ's threefold office (munus triplex) to anthropogenic global warming. Our kingly commitment to the stewardship of creation should not be dismissed (as some have argued) but complemented by a priestly awareness of our profound interconnectedness with nonhuman creation and a prophetic dedication to telling the truth, even when it involves costly lifestyle changes. In the process of constantly being formed into the image of Christ, their "chief Prophet, only High Priest and eternal King" (Heidelberg Catechism), Christians may learn to respond in Christ-like ways to the current climate predicament.
ANALISIS PERAN E-COMMERCE TERHADAP PENDAPATAN UMKM EMAK CW DI MASA PANDEMI DAN PASCA PANDEMI COVID-19
Authors: Arianty Kiki Puspo
Published: November 2024

Penelitian ini bertujuan untuk menganalisis peran e-commerce terhadap pendapatan UMKM Emak CW selama dan setelah pandemi Covid-19. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus pada UMKM Emak CW yang bergerak di bidang pengolahan produk berbahan ubi atau singkong. Data dikumpulkan melalui wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa penggunaan e-commerce sangat berperan dalam meningkatkan pendapatan UMKM Emak CW. Selama pandemi, Emak CW berhasil mengoptimalkan penggunaan platform digital seperti Facebook, Instagram, TikTok, dan berbagai marketplace untuk memasarkan produknya. Strategi pemasaran ini terbukti efektif dengan sekitar 70% dari total penjualan berasal dari platform online. Selain itu, Emak CW juga mengadopsi strategi bisnis yang lebih fleksibel dan inovatif untuk menyesuaikan dengan kondisi pasar yang dinamis selama pandemi. Faktor-faktor yang menghambat adopsi e-commerce seperti kendala teknis dan kurangnya literasi digital juga diidentifikasi dalam penelitian ini. Temuan ini menunjukkan pentingnya adaptabilitas dan inovasi dalam menghadapi tantangan bisnis yang dibawa oleh pandemi. Penelitian ini diharapkan dapat menjadi referensi bagi UMKM lain dalam mengembangkan usahanya melalui e-commerce dan meningkatkan keberlanjutan bisnis di masa depan.
APLIKASI ECOURSE BERBASIS WEB PADA UNIVERSITAS SAINTEK MUHAMMADIYAH
Authors: Taufiqurrahman  , Subana Bambang , Chandraputra Rubi
Published: November 2024

Pendidikan sangat dipengaruhi oleh perkembangan teknologi yang ada. Platform E-Learning sangat penting untuk dibangun dalam sebuah sistem pembejalaran khususnya pada tingkat perguruan tinggi. Setiap Perguruan tinggi saat ini perlu dan dituntut untuk menyediakan sistem pembelajaran digital salah satunya pada Universitas Saintek Muhammadiyah. Platform E-Learning yang diberi nama ECourse sangat cocok untuk diterapkan pada Universitas Saintek Muhammadiyah khususnya pada program studi Sistem Informasi dan Teknik Informatika demi menunjang para mahasiswa supaya lebih mudah dalam menggali ilmu pengetahuan yang berkaitan dengan pengembangan software dan ilmu pengetahuan lainnya. Tujuan penelitian ini adalah menjawab tuntutan perkembangan teknologi digital, bagi para mahasiswa Universitas Saintek Muhammadiyah supaya dapat memudahkan mahasiswa untuk mempelajari modul dan materi yang sesuai dengan standar industri, dimana tenaga pengajar dapat Menyusun modul dan materinya sendiri.
Metode pengumpulan data yang digunakan dalam penelitian ini adalah observasi dan wawancara. Metode ini digunakan untuk mengamati atau meninjau secara cermat dan langsung di lokasi penelitian. Metode ini bertujuan untuk mengetahui bagaimana alur sistem pembelajaran yang berjalan serta mencari teori pendukung dengan cara mengajukan beberapa pertanyaan kepada pihak terkait.
Hasil Penelitian ini adalah terciptanya sebuah aplikasi E-Learning yang dinamakan ECourse dimana ini merupakan program aplikasi yang dapat membantu mahasiswa untuk mempelajari dan menggali informasi mengenai dunia pengembangan aplikasi. ECourse menyediakan fitur manajemen user, kelas, modul dan materi yang dapat digunakan oleh dosen dan mahasiswa. ECoursemerupakan wujud metode alternatif pembelajaran di perguruan tinggi yang otonom dan fleksibel, sehingga diharapkan dapat tercipta kultur belajar yang inovatif dan sesuai kebutuhan mahasiswa.
SISTEM INFORMASI INVENTARIS BARANG BERBASIS WEB PADA SMA BUDI MULIA UTAMA
Authors: Murdani Deni , Oktafiani Rini Jayanti , Anggraini Fitri
Published: November 2024

Teknologi informasi saat ini sudah semakin berkembang dengan begitu banyak kemudahan dalam segala hal. Informasi suatu keadaan barang sangat diperlukan oleh pegawai sekolah. Saat ini sekolah mengetahui keadaan barang hanya secara manual yaitu mengecek langsung ke gudang penyimpanan barang. Cara ini terbilang tidak efektif dikarenakan lambat dalam memberikan informasi keadaan stok barang ataupun kerusakan barang.
Metode yang digunakan dalam penelitian ini adalah metode waterfall, dengan pendekatan System Development Life Cycle (SDLC) paling awal yang digunakan untuk pengembangan perangkat lunak. Tahapan dalam metode waterfall dimulai dari proses perencanaan, analisa, desain, dan implementasi pada sistem. Tahapan penelitian ini meliputi analisis kebutuhan, perancangan sistem, implementasi, pengujian dan pemeliharaan. Desain aplikasi menggunakan UML (Unified Modelling language) yaitu terdiri dari use case diagram, class diagram, activity diagram dan squence diagram. Bahasa pemrograman menggunakan Hypertext Preprocessor (PHP) dan MySQL sebagai databasenya.
Hasil dari penelitian ini adalah dibangunnya sebuah aplikasi sistem informasi inventaris barang berbasis web yang digunakan oleh pegawai sekolah pada SMA Budi Mulia Utama untuk mendapatkan sebuah laporan. Tingkat keberhasilan atas penelitian ini berhasil dilakukan dengan pencapaian 70% web dapat digunakan secara optimal dan dapat diterapkan di lingkungan sekolah.
APLIKASI PENILAIAN KINERJA KARYAWAN PT. MNC GROUP BERBASIS WEB DENGAN METODE RAD (RAFID APPLICATION DEVELOPMENT)
Authors: Sarono Joko , Winani Sen Sen
Published: November 2024

Aplikasi Penilaian Karyawan Terbaik merupakan bagian dari Sistem Pendukung Keputusan dikarenakan dalam evaluasi kinerja dan pemilihan karyawan terbaik masih menggunakan sistem pengamatan, yang tentunya hal ini membutuhkan waktu lama serta penilaian menjadi kurang objektif. Dengan mengambil studi kasus pada sebuah perusahaan MNC Group, terdapat beberapa masalah pada proses penilaian karyawan yang sudah berjalan. Masalah tersebut antara lain adalah metode penghitungan akumulasi nilai kriteria kinerja karyawan yang dinilai kurang akurat dan dapat menyebabkan ketidaktepatan dalam pemilihan. Selain itu, belum adanya aplikasi SPK yang dapat mempermudah perhitungan penilaian, sehingga dapat terjadi kesalahan perhitungan.
Metode penelitian yang digunakan dalam penelitian ini adalah wawancara, observasi dan studi literatur. Sedangkan metode pengembangan sistem menggunakan metode RAD (Rapid Application Development) dengan tahapan yang terstruktur dan saling bergantung disetiap tahap, yaitu;  tahap analisis persyaratan, tahap RAD Design Workshop (pemodelan) dan tahap konstruksi. Aplikasi dirancang menggunakan bahasa pemrograman PHP dan database MySQL.
Hasil penelitian ini bisa menghasilkan sebuah aplikasi penilaian karyawan terbaik dengan akurasi data sejumlah 98% yaitu perhitungan manual dan perhitungan aplikasi yang hasilnya sesuai yang diharapkan dan dapat digunakan untuk pemberian penghargaan/reward pada karyawan.
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KARYAWAN MENGGUNAKAN METODE TOPSIS UNTUK MENENTUKAN PREFERENSI BERDASARKAN KOMPETENSI PADA PT. PARKLAND WORLD INDONESIA
Authors: Johari Ma’mun , Rachma Nur , Muflihah
Published: November 2024

Permasalahan yang muncul selama proses seleksi dalam penerimaan karyawan berdasarkan kompetensi adalah waktu yang disediakan untuk proses seleksi singkat, ketidaktepatan dalam proses seleksi baik dari aspek administratif maupun aspek penilaian, objektifitas pengambil keputusan ditingkat manajerial cenderung memposisikan sebagai kedekatan dengan pegawai. Penelitian ini mengimplementasikan metode TOPSIS untuk mengembangkan aplikasi pendukung keputusan untuk penerimaan karyawan berdasarkan kompetensi yang dimiliki calon.
TOPSIS dipilih karena memiliki konsep bahwa alternatif terpilih adalah alternatif yang memiliki jarak terpendek dengan solusi ideal positif dan memiliki jarak terjauh dengan solusi ideal negatif. 
Hasil dari penelitian ini adalah sebuah sistem pendukung keputusan yang dapat menunjukkan hasil perangkingan dengan metode TOPSIS untuk proses seleksi calon karyawan. Pengujian akurasi pada penelitian ini menggunakan rumus eucledian distance untuk membandingkan hasil perangkingan dalam proses seleksi. Hasil pengujian tersebut menunjukkan bahwa perangkingan dengan metode TOPSIS dan perangkingan pihak PT. Parkland World Indonesia memiliki nilai kemiripan 0.63, sehingga hasil seleksi dengan metode TOPSIS pada sistem pendukung keputusan ini bisa diterima.
The Effect of Vegetable Oil and Shea Butter Coating on the Physical Characteristics and Protein Content of Chicken Eggs Stored under Room Temperature at Different Storage Length
Authors: S.L. Keerthana. , K Anjalai.
Published: November 2024

Chicken eggs are rich in protein, vitamins, and minerals, containing all essential amino acids. They can complement other food proteins with lower biological values. This study explored the effectiveness of vegetable oil (olive oil) and shea butter in preserving the internal quality of eggs under room temperature. Ninety (90) White Leghorn eggs were sourced from the TANUVAS poultry farm and divided into three groups (T1- vegetable oil, T2- shea butter and T3- control) of 30 eggs each. The first two groups received treatments with olive oil and shea butter respectively, while the third served as the control group. The eggs in each treatment group were stored at room temperature for six weeks. Weekly assessment s of the physical and protein content was measured using the Haugh unit and the Biuret Method for protein concentration. The eggs showed less weight loss in the treated groups at T1 (vegetable oil) and T2 (shea butter) compared to the control group (T3). The vegetable oil-coated-eggs maintained their quality more than 43 days compared to those coated with shea butter and the untreated ones. Internally, both albumen height and Haugh unit values decreased over the storage time, with the vegetable-oil-treated eggs retaining quality for the longest duration, followed by the shea butter treated group. Eggs in the control group showed decline in quality after 22 days. Protein levels in the albumen decreased in all groups with storage, but the vegetable oil and shea butter coated groups recorded led to less reduction in protein content than the control group. The study indicates that olive oil and shea butter can effectively preserve the physical and protein content of chicken eggs under different storage conditions, with olive oil demonstrating a greater efficacy  upto 43 days. These findings support the use of these natural oils as alternative preservatives for prolong egg storage in regions where refrigeration is not feasible.
Ichthyofaunal Diversity and Seasonal Harvest Patterns in Dudhawa Reservoir, Chhattisgarh, India
Authors: Sasmal Saugata , Kumar Manoj , Das Dibyendu , Thakur Toshan Kumar , Thakur Ankit
Published: November 2024

This study seeks to examine the status and biodiversity of fishes in medium reservoir known as Dudhawa of Chhattisgarh. The major objectives were to collect the primary data on fisheries of Dudhawa reservoir, collection, preservation and identification of fish species, to enlist the fish fauna and to study the seasonal variations in fish harvest of Dudhawa reservoir. For this study, fish specimens were collected during August 2022 to February 2024 from the reservoir and primary data pertaining to species abundance, yield and production of the reservoir were collected from the Matsya Mahasangh Raipur. The results of empirical study revealed that the list of 43 species were classified under 5 orders, 13 families and 28 genera. Analysis of different species reveals that 69.76% of them belong to a single order, Cypriniformes. The analysis of the fishes listed show that 6.97 % species belong to order Mastacembeliformes, 11.62% belong to order Perciformes, 4.65% belong to order Channiformes and 2.32% species belong to order Cluipeiformes. Statistical analysis of data reveals no correlation between stocking and yield of the reservoir. Fish species in the Dudhawa reservoir were broadly categorized into four group i.e. major carps, catfishes, minor fish and minnow’s fish. Critical observation of data shows that major carp’s fishery dominated the catch during August, 2022 to February, 2024. A high yield of major carp’s fishery (26728 kg) was obtained in November. However, catfish fishery fluctuated between 2400.5 kg in August to 9063 kg in March. Bulk of minnows fishes (23.33%-56.6%) were recorded in drag netting may be due to reduced water level during summer (February to May, 2023). This data will definitely help the fishermen and as well as fisheries officials for better stock and harvest management of this type of small reservoir of Chhattisgarh.
Sınav Kaygısının ve Aile Baskısının Sınav (2006) Filminde Temsili
Authors: Tuğcu Muhammed Said , As Kübra
Published: December 2024

Sınavlar öğrencilerin yaşamları boyunca karşılaştıkları önemli bir ölçme ve değerlendirme unsurudur. Eğitim sistemi, öğrencilerin odağında sınav sıralamasında üst sıralarda olabilme hedefiyle ilerlenen bir sürece dönüşmekte ve sınav odağı dışındaki eğitim faaliyetleri bu yüzden gerekli öneme haiz olamamaktadır. Öğrencilerin geleceklerinin belirlenmesinde önemli rol oynayan sınavlar hem öğrenciler hem de veliler için kaygı ve baskı unsuru teşkil etmektedir. Sınavla ilgili kaygılar, gelecekle ilgili endişeler ve çevresel baskılar öğrencilerin bu durumdan bir hayli etkilenmesine neden olabilmektedir. Aileler tarafından oluşturulan beklentiler baskıya dönüşebilmekte, bu durum da öğrencilerin başarılarını veya başarıyla ilgili algılarını olumsuz yönde etkileyebilmektedir. Öğrencilerin aile ortamları, çevresel koşulları, benzer eğitim fırsatlarına erişememeleri, eğitim politikalarının değişken yapısı gibi pek çok unsur başarılı veya başarısız olma durumlarına etki eden önemli bileşenler olmaktadır. Bu makalede sınav kaygısının ve aile baskısının yansımalarını ve sonuçlarını konu edinen Sınav filmi örneklem olarak seçilmiş ve betimsel analiz yöntemiyle incelenmiştir. Filmde üniversiteye giriş sınavlarına hazırlanan beş gencin yaşadığı sınav stresi, aile baskısı ve gelecek kaygısı gibi endişelerle sınav sorularını çalmaya karar verme süreci anlatılmaktadır. Makalenin literatür kısmında sınav kaygısı ve aile baskısı konuları ele alındıktan sonra, örneklem olarak seçilen Sınav filmi üzerinden, bu kavramların sinemanın imkanlarıyla nasıl temsil edildiği incelenmiştir. Film incelendiğinde, makalenin literatür kısmında değinilen konuların yani sınav kaygısının ve aile baskısının öğrenciler üzerindeki etkilerinin film üzerinden yansıtılabildiği görülmüştür.
Graduate Students Views in Using Search Engines for Thesis Writing
Authors: Casumpang Stacy , Pedroso John Erwin , Matullano Isaiah Kurt , Tocong Rochele Mae , Degomon John Christian , Villanueva Angel Marie
Published: November 2024

Search engine market found that Google held a prominent position as the preferred search engine among graduate students. As these students heavily depend on search engines to meet their academic requirements, enjoying advantages such as convenient search outcomes and increased confidence in utilizing web search engines for their thesis writing. This qualitative-descriptive research describes the behavioral intentions of graduate students in using search engines in their thesis writing. The study utilized semi-structured written interview to gather data through google forms and delivered using messenger application to the informants who were purposively selected using purposeful sampling. The information gathered was then analyzed through thematic Analysis. The findings revealed that there are three (3) themes that emerge from the results, namely: Behaviors, Factors, Outcomes, and five (5) meaningful categories, namely: Stress free, Open Mindedness, Transitioning, Peer Influence, and Performance output. The study shows that their use of current technology helped graduate school students by maximizing the use of search engines in their skills in thesis writing.
Analisis Media Pembelajaran IPA Menggunakan Miniature Lift Sederhana pada Materi Katrol untuk Siswa Sekolah Dasar: Kajian Literatur
Authors: Chusna Alfina Zahrotul , Gustia Rusmalinda , Rosyada Maftukha , Widiyanti Alfiana Lulu , Wafiroh Inarotul , Ratnasari Yuni
Published: November 2024

Pemahaman siswa terhadap materi katrol dapat diimplementasikan dengan menggunakan media pembelajaran berupa alat peraga, khususnya pada mata pelajaran Ilmu Pengetahuan Alam (IPA). Penelitian ini bertujuan untuk menganalisis tentang pengembangan media pembelajaran menggunakan miniature lift sederhana pada materi katrol untuk siswa sekolah dasar. Penelitian ini menggunakan Systematic Literature Review (SLR). Pengumpulan data dilakukan dengan mengumpulkan dan mengkaji artikel terkait media pembelajaran ilmu pengetahuan alam pada materi katrol yang dipublikasikan pada 2019 – 2024. Penelitian mengumpulkan sebanyak 10 artikel dalam jurnal dari Google Schoolar. Berdasarkan hasil review dari artikel, dapat disimpulkan bahwa penggunaan media pembelajaran berupa miniature lift sederhana dalam pembelajaran ilmu pengetahuan alam (IPA) bermanfaat untuk meningkatkan pemahaman konsep materi katrol di sekolah dasar.
Exploring the Nexus of Students' Happiness at School: The Moderating Effect of Student Engagement
Authors: Gao Ruibin , Shi Qingqing , Wu Haipeng
Published: December 2024

This study investigates the relationships between school climate, students' well-being, participation in educational activities, and students' happiness at school, focusing on the moderating role of student engagement. Using a quantitative cross-sectional survey, data were gathered from 164 high school students in Shanghai, China. The constructs were measured with validated instruments, and data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that school climate, student well-being, and participation in educational activities all have strong, positive relationships with students' happiness. Furthermore, student engagement significantly moderates these relationships, strengthening the positive effects of school climate, well-being, and participation on students' happiness. Higher levels of student engagement were found to enhance the impact of a supportive school environment, personal well-being, and active participation in educational activities, leading to increased student happiness. These findings emphasize the critical role of student engagement in maximizing the benefits of a positive school climate and well-being programs. The study offers important implications for educators and policymakers, suggesting that strategies to promote engagement can significantly improve students' happiness and overall school experience. Future research should explore these dynamics across various educational settings to further validate and expand upon these results.
Analisis Pengaruh Faktor pada Stunting di Jawa Timur Tahun 2021 Menggunakan Metode Principal Component Analysis (PCA)
Authors: Damar Rabbani Dzakki
Published: November 2024

Stunting merupakan kondisi gagal tumbuh pada anak akibat kekurangan gizi kronis yang berdampak pada kesehatan fisik dan kognitif. Untuk memahami faktor-faktor yang berkontribusi pada kejadian Stunting, diperlukan indikator yang mencakup berbagai aspek seperti kesehatan, akses sanitasi, pendidikan, dan status sosial ekonomi. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi kejadian Stunting di Jawa Timur pada tahun 2021 dengan menggunakan metode Principal Component Analysis (PCA). Metode PCA diterapkan untuk mereduksi data yang terdiri dari banyak variabel saling berkorelasi menjadi komponen utama yang lebih kecil namun tetap mempertahankan informasi utama dari data asli. Penelitian ini menggunakan 9 variabel dengan jumlah data sebanyak 38 data yang memengaruhi Stunting di Jawa Timur pada tahun 2021. Hasil penelitian ini menganalisis sembilan variabel dengan 38 data observasi yang meliputi faktor kesehatan, akses sanitasi, status sosial ekonomi, dan pendidikan. Setelah dilakukan analisis, dua faktor utama ditemukan: faktor kesejahteraan dan kesehatan masyarakat, yang mencakup sanitasi, imunisasi, indeks kesehatan, pendidikan, ekonomi, dan pernikahan dini; serta faktor kesehatan dasar dan akses sanitasi, yang mencakup pemberian ASI dan akses air minum layak. Kedua faktor tersebut menjelaskan 69,488% dari total variansi data. Kesimpulan dari penelitian ini menunjukkan bahwa kedua faktor utama tersebut merupakan elemen kunci yang memengaruhi Stunting di Jawa Timur. Hasil ini memberikan wawasan penting bagi pembuat kebijakan untuk merancang intervensi yang lebih efektif dalam menurunkan angka Stunting di daerah tersebut.
Utilização de Redes Neurais Convolucionais para Classificação da Esquizofrenia através de Microestados
Authors: Vianna João Vitor M. , Komati Karin Satie
Published: December 2024

Este artigo explora a aplicação de redes neurais convolucionais (CNNs) na classificação da esquizofrenia através de microestados gerados do eletroencefalograma (EEG). A base de dados é balanceada, consistindo em 28 pacientes divididos igualmente entre indivíduos com esquizofrenia e saudáveis. Os microestados, gerados através do Global Field Power (GFP), foram utilizados como entrada para uma CNN com quatro camadas convolucionais e três camadas totalmente conectadas. Os resultados são promissores, o modelo atingiu uma acurácia de 75%, sensibilidade de 71,4%, precisão de 76,9% e medida-F1 de 74,1%.
Segmentação de Estradas em Mapas de Remissão utilizando Redes Neurais
Authors: Dias Ludmila , Ferreira Eduardo O. , Boldt Francisco de Assis , Faria Marcos V. , Paixão Thiago M.
Published: December 2024

Avanços na percepção para direção autônoma têm sido impulsionados pelo aprendizado profundo, que utiliza diversos sensores, como câmeras, LiDARs e radares, para obter uma compreensão precisa do ambiente. Neste contexto, nosso trabalho foca na segmentação semântica de estradas em mapas de remissão gerados por LiDAR. Comparando quatro arquiteturas de redes neurais convolucionais—U-Net, PSPNet, FPN e LinkNet—com o modelo ENet, nosso objetivo é avaliar o desempenho desses modelos em termos de acurácia média em relação ao ENet.
Topcom: Um Panorama de Duas Décadas Fomentando a Programação Competitiva Entre Estudantes Capixabas
Authors: Sampaio Arthur T. , Batista João Pedro C. , Gomes Vitor D. C. , Pereira Ana Tereza R. S. , Saleme Eduardo S. , Sarcinelli Sofia M. , Amorim Guilherme Augusto B. , Souza Matheus V. B. de , Guimarães Rodrigo L.
Published: December 2024

Este artigo faz uma descrição da trajetória do Torneio de Programação de Computadores realizado pelo grupo PET Engenharia de Computação, nomeado Topcom. Ademais, busca-se discutir a importância da programação competitiva no campo da computação e o aumento significativo no número de outras competições desse setor. Nesse sentido, pretende-se analisar o histórico desse certame, desde sua criação até sua última edição, bem como seu crescimento em relevância, além de detalhar sua organização, estrutura e funcionamento, por meio da investigação dos dados coletados nas últimas duas edições. Por meio de tais análises, observa-se sua contribuição para o incentivo da programação competitiva na comunidade acadêmica.
The Impact of an Edible Composite Coating Formulated with Farsi Gum and Iranian Black Cumin Essential Oil Emulsion or Nanoemulsion, Alongside Low-Dose Gamma Irradiation, on the Quality of Chilled Turkey Breast
Authors: Isvand Abbas , Fallah Aziz A , Soleimani Mohammad
Published: November 2024

Background: Hurdle technology is an effective method for preserving muscle food products and extending their shelf life. Objectives: This study evaluated the combined effect of Farsi gum (FG) coating impregnated with black cumin essential oil (BCEO) emulsion or black cumin nanoemulsion (BCNE) and low-dose gamma irradiation (GIR) at 2 kGy on the quality of turkey breast over 21 days of chilled storage. Methods: Turkey breast samples were divided into eight groups: Control, FG, GIR, FG + GIR, FG + BCEO, FG + BCNE, FG + BCEO + GIR, and FG + BCNE + GIR. The samples were assessed for microbial, physicochemical, and sensory attributes throughout 21 days of chilled storage. Results: The growth of mesophilic and psychrotrophic bacteria, Enterobacteriaceae, and lactic acid bacteria (LAB) was inhibited in all treated groups compared to the control and FG groups during the storage period. The treatments also curbed the increase in pH, total volatile basic nitrogen (TVB-N), thiobarbituric acid reactive substances (TBARS), and protein carbonyls in the turkey breast. The most effective treatment for controlling microbial growth, minimizing physicochemical changes, and extending the storage life of turkey breast was the combination of FG + BCNE + GIR. Conclusions: The combination of active FG coating containing BCNE and low-dose GIR offers effective long-term preservation of turkey breast during chilled storage.
Evaluating the Chest CT Scan in Two Groups of Patients with Influenza and COVID-19
Authors: Dahmardeh Hamid , Bagheri Gholamreza , Teimouri Alireza , Danesh Hossienali
Published: December 2024

Background: This study aimed to identify differences in CT imaging features between coronavirus disease 2019 (COVID-19) and influenza pneumonia in the early stages and determine the most valuable features for differential diagnosis. Methods: This retrospective study was conducted on 57 patients with COVID-19 and 57 with influenza pneumonia who were hospitalized at Bu-Ali Hospital in Zahedan, Iran. CT scans were reviewed, and a significance level of P < 0.05 was used in all analyses. Results: A total of 114 patients were included, consisting of 56 men (49.12%) and 58 women (50.88%), with a mean age of 53.24 ± 11.99 years. Among the COVID-19 patients, 27 were men (47.37%) and 30 were women (52.63%), with a mean age of 52.74 ± 12.32 years. In the influenza group, 29 were men (50.88%) and 28 were women (49.12%), with a mean age of 53.74 ± 11.75 years. In the COVID-19 group, 9 patients (15.79%) had unilateral lung involvement, and 48 (84.21%) had bilateral involvement. Similarly, in the influenza group, 10 patients (17.54%) exhibited unilateral lung involvement, and 47 (82.46%) showed bilateral involvement. Regarding CT findings, there was no significant difference in the frequency of consolidation opacities and ground-glass opacities (GGO) between the two groups (P = 0.841). Additionally, the distribution of peripheral versus central lung involvement was not significantly different (P = 0.059). Conclusions: This study highlights both distinct and overlapping CT imaging features between COVID-19 and influenza pneumonia. Bilateral lung involvement was prevalent in both groups. However, COVID-19 patients more frequently exhibited GGO, interlobular septal thickening, crazy paving patterns, and vascular dilatation. In contrast, influenza patients showed higher frequencies of consolidation, pleural effusion, cavitation, and lymphadenopathy. These findings may assist in distinguishing between the two conditions in clinical practice.
Integration of Hospital Dentistry in the Interdisciplinary Care of the Armed Forces: Perspectives and Practices
Authors: Caetano Adriana Santos , Carneiro Mailon Cury , Lopes Fabia , Caminha Raquel DAquino Garcia , Soares Junior Luiz Alberto Valente , Santos Paulo Sérgio da Silva
Published: December 2024

Context: This study aims to investigate the implementation and effectiveness of hospital dentistry (HD) in the Armed Forces, incorporating an integrative literature review and a detailed case report. It seeks to highlight the importance of an interdisciplinary approach to oral and systemic health in military patients, as well as identify significant gaps in current research that need to be addressed to achieve improved healthcare outcomes. Evidence Acquisition: An integrative review methodology was adopted, with articles selected through the PubMed/MEDLINE and Scielo databases using specific inclusion and exclusion criteria focused on the practice of HD in military settings. This approach ensured a comprehensive understanding of the existing literature. Simultaneously, a case report of an elderly patient treated within the military context was presented, detailing the diagnosis, intervention, and outcomes of HD, thus providing a practical example of the concepts discussed in the review. Results: The literature review revealed a scarcity of specific studies on HD in military settings, despite evidence highlighting the crucial role of an interdisciplinary team, including dentists, for the effective treatment of oral conditions affecting the overall health of patients. This lack of research underscores the need for further studies to address these gaps. The case report demonstrated the positive impact of HD on the patient's recovery, emphasizing the critical need for its integration into military healthcare to achieve improved patient outcomes. Conclusions: The integration of HD in military settings is essential but currently underutilized. The research emphasizes the need to develop and document HD practices that enhance both the oral and systemic health of military personnel, promoting a more comprehensive and interdisciplinary care approach. This integration can lead to better health outcomes, reduced hospital stays, and overall improved quality of life for military patients.
The Effect of Hopping Trainings on the Static and Dynamic Balance of Iraqi Deaf Athletes: A Semi-experimental Study
Authors: Saadatian Abouzar , Hossein Mahmoud Abdulsalam , Hashemi Ayoub , Siavashi Elahe
Published: December 2024

Background: Deafness is recognized as the most common sensory-neural defect. Objectives: This study aimed to investigate the effect of hopping training on the static and dynamic balance of Iraqi deaf athletes. Methods: The current research was a semi-experimental study with a pre-test-post-test design and a control group. The statistical population included deaf male athletes aged 15 to 25 in Baghdad, Iraq. Fifty deaf athletes were purposefully selected and randomly divided into experimental and control groups. Static and dynamic balance were evaluated using the stork test and the Y balance measuring device, respectively. The experimental group underwent an eight-week hopping training program (three sessions per week, each lasting one hour). Data analysis was conducted using descriptive statistics and covariance analysis at a significance level of 0.05, using SPSS version 25. Results: The findings revealed that eight weeks of hopping training significantly improved static balance (F = 40.58, P = 0.001, η² = 0.46), dynamic balance in the anterior direction (F = 44.60, P = 0.001, η² = 0.48), posterior-external direction (F = 36.88, P = 0.007, η² = 0.42), posterior-internal direction (F = 39.50, P = 0.004, η² = 0.43), and the total balance score (F = 42.60, P = 0.001, η² = 0.45). No significant differences were observed in the control group following the intervention. Conclusions: This study demonstrated that an eight-week program of hopping training can enhance both static and dynamic balance performance in deaf athletes. It is recommended to incorporate this type of intervention as an effective alternative for balance training, especially in settings with limited facilities for individuals with hearing impairments.
Modelling of stress-strain state of asphalt concrete layers in pavements taking into account the results of laboratory four-point bending tests
Authors: Tiraturyan A.N.
Published: November 2024

Introduction: Fatigue failure of asphalt concrete pavements is one of the most common causes of premature failure of pavements on operational motorways. Modern laboratory equipment and software tools make it possible to comprehensively consider the problem of fatigue failure both for laboratory deformation modes and for operational ones. The aim of the research: a comprehensive study of fatigue fracture of asphalt concretes used in the upper base layer (UBL), lower pavement layer (LPL), and upper pavement layer (UPL) in operational and laboratory deformation modes. Methods: Laboratory studies are carried out on a four-point bending unit in accordance with the methodology of GOST R 58401.11-19. The analysis of operational modes of deformation is carried out on the mathematical model of the stress-strain state of the layered medium. During the stress-strain state analysis, tensile and compressive radial strains at the lower boundary of each asphalt concrete layer were calculated and compared with the deformation modes modelled under operational conditions. Resistance to fatigue failure of asphalt concretes used for the top layer of base course (A32Ot), bottom layer of pavement (A22Nt), top layer of pavement (SMA-16) was investigated using laboratory equipment for four-point bending tests. Results and discussion:Asphalt concrete stiffness modulus reduction curves depending on the number of applied load cycles were obtained. Using the mathematical model, the operational modes of joint deformation of asphalt concrete layers under the load from the design vehicle are investigated.
Synergistic Integration of Digital Twins and Neural Networks for Advancing Optimization in the Construction Industry: A Comprehensive Review
Authors: Borovkov A.I. , Vafaeva Kh.M. , Vatin N.I. , Ponyaeva I.
Published: November 2024

The object of research is the potential application of digital twins and neural network modeling for optimizing construction processes. Method. Adopting a perspective approach, the research conducts an extensive review of existing literature and delineates a theoretical framework for integrating digital twins and neural network modeling technologies. Insights from the literature review inform the development of methodologies, while case studies and practical applications are explored to deepen understanding of these integrated approaches to system construction optimization. Results. The review yields the following key findings: Digital Twins: Offer the capability to create high-fidelity virtual representations of physical construction systems, enabling real-time data collection, analysis, and visualization throughout the project lifecycle. This allows for proactive decision-making, improved constructability analysis, and enhanced coordination between design and field operations. Neural Network Modeling: Possesses the power to learn complex relationships from vast datasets, enabling predictive modeling and optimization of construction system behavior. Neural networks can be employed to forecast project timelines, identify potential risks, and optimize construction scheduling and resource allocation. Integration of Digital Twins and Neural Networks: Presents a transformative avenue for optimizing construction processes by facilitating data-driven design, predictive maintenance of equipment and infrastructure, and real-time performance monitoring. This synergistic approach can lead to significant improvements in construction efficiency, reduced project costs, and enhanced overall project quality.
Building life-cycle management by carbon homeostasis potential
Authors: Naumov A.E. , Suvorova M.O. , Bakaeva N.V. , Danilina N.V.
Published: November 2024

The rapid development of urban areas necessitates a comprehensive understanding of the environmental implications of construction projects, particularly within urban development clusters. This paper discusses the significance of analyzing construction projects, focusing on their carbon potential impacts on the environment. Construction projects are among the largest consumers of natural, material and energy resources, resulting in a carbon footprint that contributes to global climate change. The technological transition to zero-carbon energy sources and low-greenhouse-gas-emitting building materials is setting new trends in the design and implementation of construction projects. This includes achieving a balance between anthropogenic emissions and their uptake by ecosystems - carbon neutrality throughout the building life cycle. As a consequence, the increased focus on global climate change makes reducing the carbon footprint of a building over its lifetime a promising area of research. The novelty of the research is the development of a technology to quantitatively assess the carbon impact of construction projects, facilitating the introduction of low-carbon organisational and technical solutions at all stages of the building life cycle. The methodology of environmental safety management of buildings with high carbon homeostasis for forecasting of comfortable living conditions developed by the authors is based on the systemic representation of the natural-technogenic system of the integrated development of territories in the form of an open dynamic structure. The research is carried out on the basis of the formation tools of the author's factor space of complex carbon impact assessment, ranking and polycriteria comparison of quantitative environmental safety assessment of buildings for selecting the optimal desisions, use of the apparatus of optimisation target setting and carbon neutrality modelling. The implenetetion of the proposed technology can reduce the carbon impact of a project by up to 40% over the building life cycle, maintaining the economic incentive to develop low carbon construction, preventing climate change and ensuring that the construction industry achieves carbon neutrality.
Artificial Intelligence-Based Approach for Damage Localization in Ultrasonic Guided Wave-Based Structural Health Monitoring
Authors:   Karlsruhe Institute of Technology (KIT), Volovikova Anastasiia ,   Karlsruhe Institute of Technology (KIT), Freitag Steffen ,   Goethe University of Frankfurt am Main, Schackmann Oliver ,   University of Naples Federico II, Memmolo Vittorio ,   University of Bochum, Bayoumi Ahmed ,   Bochum University of Applied Sciences (BO), Mueller Inka ,   University of Siegen, Moll Jochen
Published: December 2024

The continuous monitoring of structural integrity is crucial, as imperceptible damage may appear at any point

throughout a structure's lifespan. Several Structural Health Monitoring (SHM) technologies have been developed

so far to detect and assess defects in structures. Deep Learning is a common tool for processing data obtained with

SHM systems. Although many artificial intelligence-based SHM technologies exist already for damage detection,

only a few are focused on damage localization. Existing localization approaches are limited through them being

applied on defined simple structures and requiring a large amount of data, which is usually unavailable in practical

applications. In this work, measured data from guided ultrasonic wave propagation is used to determine the location

of damage in a composite stiffened structure representative of fuselage segments. A novel artificial intelligencebased approach for damage localization is presented and tested with a feed-forward as well as a convolutional

neural network. Both architectures show that localization is possible. The accuracy is then analyzed with the

probability of localization method and compared to existing non-artificial intelligence-based approaches. These

results make it possible to define the minimum damage that can be correctly localized.
Safety in Connected Health Network: Predicting and Detecting Hidden Information in Data Using Multilayer Perception Deep Learning Model
Authors: Adeshina Dr.A.M. , Anjorin S.O. , Razak Dr. Siti Fatimah Abdul
Published: December 2024

With the tremendous growth in the use of information technology, the connected health networks are becoming more relevant, greatly improving the traditional standard of healthcare procedures from data acquisition, storage, and sharing among the medics for timely clinical diagnosis processes, therapy, and disease management. However, connected health network comes with network and cyber criminality challenges, and frequent security breach attacks on digital platforms and databases. Unfortunately, Sensitive clinical information is greatly at risk with adversaries, most clinical stakeholders find it difficult to overlook free access to the clinical records. Previously, feature aggregation networks, convolutional neural networks, residual convolutional neural networks, and machine learning models were used in different methodological approaches towards ensuring the detection of hidden information in images, unfortunately, none was able to produce optimal results. This study proposes a three-phased framework to determine the suitability of embedder networks’ feature extraction for image steganalysis, predicting and detecting hidden information in images. A Multilayer Perceptron (MLP) deep learning model was trained for pattern recognition of steganography instances in acquired digital image signals. The digital image signals used for the predictive steganalysis are publicly available images contained in two circumstances highlighted regarding clean image signals (situation of cover images, but without steganography) and the embedded situation of image signals (where images (stego) with hidden data or information). Interestingly, the results of the parameter show that the Max-iter parameter of the MLP classifier hugely determines the performance of the algorithm towards detecting steganography in digital image signals. The parameter stipulates the number of times the training set will pass through the MLP network for the training process. Significantly, in our experiment, Max-iter returned the best result at 1000 netting an accuracy of 93%, precision of 57%, and recall of 100% weighted averages. Our study does not only implement a model that detects hidden information in images, but it also discovered and tuned the multilayer perceptron to determine where it will perform best.
Pengaruh Debt To Asset Ratio (Dar) Dan Debt To Equity Ratio (Der) Terhadap Return On Equity (Roe) Pada Perusahaan Makanan Dan Minuman Yang Terdaftar Di BEI Tahun 2019-2023
Authors: Adawiyah Robiatul , Sosrowidigdo Suryanto
Published: November 2024

Tujuan penelitian ini adalah untuk mengetahui dan menganalisis Pengaruh Debt to Assets Ratio (DAR) dan Debt to Equity Ratio (DER) Terhadap Return On Equity (ROE) pada Perusahaan makanan dan minuman yang Terdaftar di Bursa Efek Indonesia Periode 2019-2023. Populasi penelitian ini adalah laporan keuangan tahunan Perusahaan makanan dan minuman yang terdaftar di Bursa Efek Indonesia selama periode 2019-2023. Teknik pengambilan sampel yang digunakan adalah teknik cluster sampling dimana teknik pengambilan sampel populasi dibagi menjadi beberapa kelompok atau klaster representatif. Teknik analisis data yang digunakan adalah analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa DAR berpengaruh positif dan signifikan terhadap ROE, sedangkan pada uji Parsial variabel DER tidak berpengaruh dan signifikan terhadap ROE dan secara simultan DAR dan DER berpengaruh negatif dan tidak signifikan terhadap ROE, hasil pengujian hipotesis DAR dan DER diperoleh nilai probabilitas sebesar 0,048 dan 0.246. Didalam tahapan pengujian digunakan tingkat kesalahan sebesar 0,05. Hasil yang diperoleh menunjukan bahwa nilai probabilitas masing-masing variabel berbeda, maka keputusannya adalah Ho diterima dan Ha ditolak  sehingga dapat disimpulkan bahwa debt to assets ratio dan debt to equity ratio berpengaruh negatif dan tidak signifikan terhadap return on equity pada Perusahaan makanan dan minuman yang terdaftar di bursa efek indonesia.