bluuebunny/crossref_metadata_2025 huggingface dataset:
In silico docking studies of Ag nanoparticles and its derivatives against NS5B protein (HCV): Integrating nanobiotechnology and nanoinformatics
Authors: Akram Arslan , Ahmad Waseem , Arif Muhammad Maaz , Saqib Khaleeq Ahmad , Pirzada Rameez Hassan , Naqvi Syed Zeeshan Haider
Published: May 2024

The present study focused on the prediction of interactions of three ligands, i.e., silver nanoparticles, tyrosine-capped silver nanoparticles, and silver oxide nanoparticles, with the nonstructural protein 5B (NS5B) protein of the hepatitis-C virus (HCV). ΑutoDock 4, Discovery Studio, ChemDraw Ultra, OpenBabel, and Chimera software were used. Computational docking helps to evaluate the conformations of small ligands attached to macromolecular proteins. NS5B plays a crucial role in HCV replication. It is an RNA-dependent RNA membrane-associated polymerase, weighing approximately 66-kDa . The results were obtained from AutoDock 4 and visualized in Discovery Studio and Chimera. Silver nanoparticles showed interactions with  All these three ligands showed promising results to inhibit the NS5B enzyme preventing HCV replication. The most effective ligand was tyrosine-capped silver nanoparticles. Its relative highest binding energy i.e. -5.29 kcal/mol showed its intense binding with the protein molecule causing more damage to the integral residues forming the active site.
COMPREENDENDO A VASCULITE REUMATOIDE: UMA REVISÃO SISTEMÁTICA DAS EVIDÊNCIAS CIENTÍFICAS
Authors: Santana Beatriz de Fátima Maia de , Rodrigues Vívian Karla Feitoza , Siqueira Matheus Marinho Campos , Silva Ariely Juvino Tomaz da , Sancho Thaísa Giselle da Silva , Silva Victória Beatriz Gomes da , Silva Pedro Victor Rodrigues da , Paixão José Anderson dos Santos
Published: May 2024

A Vasculite Reumatoide (VR) é uma manifestação grave da artrite reumatoide (AR) que causa inflamação em vasos sanguíneos de pequeno a médio calibre, geralmente após 10 anos de AR, com sintomas dermatológicos variados. A mortalidade associada à VR permanece alta, e o diagnóstico muitas vezes requer exames invasivos. Este estudo buscou reforçar a importância do diagnóstico da VR por meio de marcadores sorológicos, conduzindo uma revisão sistemática da literatura com base nas normas PRISMA 2020. A pergunta norteadora foi: “Quais são os principais biomarcadores para a Vasculite Reumatoide?". A pesquisa, realizada de janeiro de 2000 a dezembro de 2023, resultou em 4151 artigos, reduzidos a 6 após critérios de elegibilidade. Observou-se em portadores de VR a presença de células T CD4+CD28nulas e uma maior predominância do gene KIR2DS2. A distribuição do antígeno HLA mostrou variações em indivíduos com VR, sugerindo sua relevância nos riscos genéticos da AR. Marcadores sorológicos, como FR de IgA e níveis de C3, foram cruciais para o diagnóstico histologicamente comprovado de VR. Níveis elevados de sFkn foram observados em portadores de VR. A relação entre TNF e VR foi destacada, com TNF atuando como mediador na patogenia, induzindo sFkn/CX3CL1. A associação entre alelos HLA e lesões cutâneas em pacientes com VR foi evidenciada. Este estudo identificou biomarcadores para diagnóstico menos invasivo da VR, ressaltando a necessidade de mais investigações dada a complexidade e escassez de estudos sobre o tema desde 2015.
Đầu tư xây dựng nhà ở xã hội từ góc nhìn của nhà đầu tư: Thực trạng, thách thức và kiến nghị
Authors: Nguyễn Thị Tuyết Dung , Lê Toàn Huy Vũ , Bùi Thị Thùy Linh , Hoàng Phương Thảo , Nguyễn Quỳnh Anh
Published: May 2024

Đầu tư theo phương thức đối tác công tư đã được thực hiện ở Việt Nam hơn 20 năm, bắt đầu từ năm 1997. Các văn bản pháp lý đã được điều chỉnh, hoàn thiện dần theo thời gian. Luật Đầu tư theo phương thức đối tác công tư được Quốc hội ban hành năm 2020 với mục đích đẩy mạnh thu hút vốn tư nhân đầu tư vào lĩnh vực cơ sở hạ tầng, tránh các tiêu cực không mong muốn của các dự án thực hiện theo phương thức này. Tuy nhiên, nguồn vốn tư nhân trong nước và quốc tế vẫn chưa đạt được như kỳ vọng. Bài báo phân tích các quy định pháp luật hiện hành về Hợp đồng dự án đầu tư theo hình thức đối tác công tư tại Việt Nam, làm rõ những điểm mới và các vướng mắc mà các bên liên quan gặp phải, đặc biệt là khu vực tư nhân như các điều khoản không rõ ràng về quyền lợi, trách nhiệm, về các tiêu chí xác định nhà đầu tư thay thế, giá trị chuyển nhượng, vị thế giữa các bên, thiếu hợp đồng mẫu... Những vướng mắc này gây ra các tranh chấp, thất thoát, lãng phí nguồn lực. Từ đó, bài báo đề xuất các kiến nghị, làm rõ những vấn đề tồn tại để các quy định về hợp đồng dự án đầu tư theo phương thức đối tác công tư hoàn thiện hơn, tạo thuận lợi hơn nữa cho nhà đầu tư và các cơ quan quản lý trong việc triển khai dự án.
Xây dựng mô hình AHP lựa chọn tổng thầu trong dự án thực hiện theo hình thức thiết kế và thi công (design & build) tại Việt Nam
Authors: Trung Phạm Ngọc Thanh , Thư Nguyễn Anh
Published: May 2024

Lựa chọn tổng thầu thực hiện dự án xây dựng đã rất phổ biến từ rất lâu. Thực tế rằng, hiện nay việc lựa chọn tổng thầu thường được chọn theo hình thức giá thầu thấp nhất nhưng khi bắt tay vào thực hiện dự án thì lại không đủ năng lực dẫn đến chậm tiến độ và chất lượng công trình không được đảm bảo, làm ảnh hưởng trực tiếp đến kế hoạch kinh doanh của chủ đầu tư. Chính vì vậy luận văn này trình bày một mô hình lựa chọn tổng thầu bằng phương pháp AHP để hỗ trợ chủ đầu tư ra quyết định lựa chọn phù hợp.
Các tiêu chí lựa chọn nhà thầu của mô hình AHP dựa vào kết quả cuộc khảo sát 40 tiêu chí ảnh hưởng đến việc lựa chọn nhà thầu thực hiện dự án theo hình thức thiết kế và thi công tại Việt Nam.
Kết quả khảo sát được tổng hợp và phân tích số liệu thống kê cho thấy có 7 nhóm tiêu chí ảnh hưởng đến việc lựa chon nhà thầu, bao gồm: nhóm tiêu chí về năng lực nhân sự và thiết bị thi công, nhóm tiêu chí về năng lực kỹ thuật, nhóm tiêu chí về năng lực tiến độ và môi trường thi công, nhóm tiêu chí về năng lực biện pháp thi công, nhóm mối quan hệ với đối tác và quản lý chất lượng, an toàn thi công, nhóm mối quan hệ với chính quyền địa phương và giá thi công, nhóm mối quan hệ với chủ đầu tư và bảo hành.
Và kết quả mô hình giúp cho Chủ đầu tư có sự lựa chọn tốt nhất nhằm đáp ứng nhu cầu về tiến độ, chất lượng dự án, chi phí của dự án cũng như đảm bảo hoạt động kinh doanh không bị xáo trộn, ảnh hưởng.
Ứng dụng mô hình phân tích mạng lưới ANP để xác định yếu tố thu hút của các dự án PPP tại TP. Hồ Chí Minh
Authors: Long Lương Đức , Tuấn Nguyễn Thanh , Chiến Phạm Hải
Published: May 2024

Đầu tư theo hình thức đối tác công tư (PPP) là một trong những hình thức đầu tư dự án tiềm năng nhằm đẩy nhanh sự phát triển ngành công nghiệp xây dựng, qua đó góp phần vào phát triển chung của Việt Nam hiện nay. Tuy nhiên, thực tế cho thấy các dự án đối tác công tư PPP chưa thực sự hấp dẫn để nhiều nhà đầu tư tham gia. Vì vậy, nghiên cứu đi sâu phân tích các yếu tố ảnh hưởng đến sự thu hút của các dự án PPP tại thành phố Hồ Chí Minh. Dữ liệu khảo sát được thu thập từ các nhà đầu tư, các cơ quan nhà nước, các tổ chức tài chính đã từng có nhiều năm kinh nghiệm tham gia thực hiện các dự án PPP ở thành phố Hồ Chí Minh. Các yếu tố thu hút được phân chia làm 5 nhóm nhân tố xuất phát từ: 1) Đặc điểm dự án; 2) Chính sách ưu đãi kinh tế; 3) Môi trường đầu tư; 4) Đối tác khu vực công và 5) Các điều kiện khách quan và chủ quan của nhà đầu tư. Sử dụng công cụ phân tích thống kê SPSS và mô hình phân tích mạng lưới Analytic Network Process (ANP), nghiên cứu chỉ ra các yếu tố chính ảnh hưởng đến sự thu hút các dự án PPP gồm: tỷ suất sinh lợi cao, khả năng liên kết nhiều nguồn lực hỗ trợ của nhà đầu tư, các thỏa thuận cam kết được thiết lập và ràng buộc tốt, phân tích đầy đủ rủi ro và có biện pháp quản lý rủi ro hiệu quả. Kết quả nghiên cứu góp phần giúp các nhà quản lý dự án, hoạch định chính sách công trong việc nâng cao hiệu quả quản lý dự án đối tác công tư tại Việt Nam.
Phân tích các yếu tố ảnh hưởng đến sự hợp tác giữa các bên tham gia dự án xây dựng trong giai đoạn thi công
Authors: Vũ Nguyễn Hồng , Việt Nguyễn Thanh
Published: May 2024

Nghiên cứu này phân tích các yếu tố ảnh hưởng đến sự hợp tác giữa các bên tham gia dự án xây dựng trong giai đoạn thi công. Dựa trên các nghiên cứu trước đây và ý kiến chuyên gia, 20 yếu tố đã được xác định và được nhóm thành 5 nhóm nhân tố chính thông qua kỹ thuật phân tích nhân tố. Bằng cách xếp hạng các yếu tố, nghiên cứu xác định được 3 yếu tố ảnh hưởng nhất đến sự hợp tác giữa các bên tham gia dự án xây dựng trong giai đoạn thi công bao gồm sự tin tưởng giữa các bên tham gia (tin tưởng lẫn nhau hay nghi ngờ lẫn nhau), sự trung thực giữa các bên tham gia (trung thực nhận trách nhiệm hay cố ý che giấu, đổ lỗi trách nhiệm khi xảy ra sự cố, vấn đề), sự hỗ trợ và ủng hộ từ ban quản lý cấp cao trong các công ty/doanh nghiệp của các bên tham gia. Kết quả nghiên cứu hy vọng sẽ giúp các bên tham gia dự án có cái nhìn cụ thể về các yếu tố ảnh hưởng đến sự hợp tác giữa họ trong giai đoạn thi công, từ đó họ sẽ đưa ra các giải pháp, chiến lược thích hợp nhằm duy trì mối quan hệ kinh doanh lâu dài.
Dinamika Pasar Cryptocurrency: Pengaruh Harga Bitcoin, Emas, Minyak Mentah, Dan IHSG Terhadap Ethereum Dan Binance Coin
Authors: Hertanto Rus , Muchtar Masruri , Sihombing Pardomuan Robinson
Published: May 2024

Mata uang crypto menjadi sangat familiar dan booming dalam beberapa tahun terakhir. Ada yang menganggapnya sebagai mata uang, ada yang menganggapnya sebagai instrumen investasi, ada yang menganggapnya hanya sebuah scam masa kini yang terus diobrolkan di khalayak ramai. Harga crypto memang sangat volatile, untuk itu peneliti ingin mencari faktor-faktor apa saja yang memengaruhi harga crypto, khususnya dari variabel ekonomi makro yang ada. Data dalam penelitian ini diambil dari chart bulanan dari masing-masing variabel, dengan timeframe setiap bulan dari 2019 sampai 2023. Peneliti menggunakan random effect model dalam melakukan uji regresi, dengan hasilnya adalah variabel independen S&P500 dan harga Bitcoin memiliki pengaruh positif terhadap harga Ethereum dan BNB. Sedangkan tiga variabel sisanya yaitu IHSG, harga emas, dan harga minyak mentah tidak memiliki pengaruh yang signifikan. Hal itu mengindikasikan bahwa variabel ekonomi makro pada dasarnya tidak berpengaruh terhadap harga crypto. Pada akhirnya, yang menggerakkan harga crypto adalah permintaan dan penawaran dari pasar.
Budaya Hukum Korupsi Hakim Agung Dalam Menangani Sengketa Koperasi Simpan Pinjam Di Mahkamah Agung
Authors: Kabes Irianto , Sugiyatmo Agus , Jaiheno Gabriela Andriyani , Bustani Simona
Published: May 2024

Dalam bidang pengambilan keputusan peradilan, budaya hukum hakim Mahkamah Agung memainkan peran penting dalam menentukan hasil sengketa korupsi, khususnya dalam konteks koperasi simpan pinjam. Dengan menyoroti tantangan yang dihadapi hakim Mahkamah Agung dalam kasus korupsi di sektor koperasi, penelitian ini berupaya mengungkap kompleksitas yang ada dalam menangani korupsi di lembaga keuangan dan dampak pengambilan keputusan peradilan dalam memberantas malpraktik tersebut. Ketika mengkaji prinsip-prinsip hukum yang menjadi pedoman hakim Mahkamah Agung dalam menangani perkara korupsi, terlihat jelas bahwa kerangka peraturan yang komprehensif memainkan peran yang sangat penting. Dalam menangani sengketa korupsi yang melibatkan koperasi simpan pinjam, hakim memainkan peran penting dengan menafsirkan dan menerapkan hukum melalui berbagai kerangka dan pedoman yang dirancang untuk menegakkan integritas dan keadilan dalam sektor keuangan. Pedoman Penafsiran Pengadilan, bersama dengan Pedoman Pelaporan Pengadilan, Kebijakan Etika, dan Perilaku dan Perlindungan di Tempat Kerja, memberikan pendekatan terstruktur bagi hakim untuk menavigasi lanskap hukum yang kompleks, memastikan bahwa keputusan dibuat dengan pemahaman yang jelas tentang maksud hukum dan pertimbangan etis di pengadilan. Tantangan yang dihadapi para hakim Mahkamah Agung dalam menangani kasus-kasus korupsi di sektor koperasi simpan pinjam, sifat korupsi yang beraneka ragam menghadirkan tantangan yang besar. Korupsi, yang lebih dari sekadar penyuapan hingga mencakup korupsi politik, sangatlah berbahaya karena sifatnya yang luas dan sering kali sulit dipahami. Kompleksitas ini semakin diperparah ketika hakim diminta untuk menavigasi perairan keruh dari pelanggaran etika, yang mencakup serangkaian perilaku mulai dari sikap yang tidak patut hingga kegagalan untuk mendiskualifikasi diri mereka sendiri dalam kasus konflik kepentingan. Permasalahan etika seperti ini tidak hanya melemahkan integritas peradilan namun juga mengikis kepercayaan masyarakat terhadap kemampuan sistem hukum untuk mengadili kasus korupsi secara adil.
Bulut Bilişim Sisteminde Yer Alan Verilerden Kaynaklanan Uyuşmazlıklarda Milletlerarası Yetkili Mahkemenin Tespiti
Authors: Altıntaş Açıkgöz Elif Hande
Published: May 2024

Günümüzde bulut bilişim kullanımı gün geçtikçe artmaktadır. Buna bağlı olarak kişilik hakkı, kişisel veri, fikrî mülkiyet ve ticarî sırların ihlâli gibi çeşitli hukukî alanlarda bulut tabanlı anlaşmazlıklar ortaya çıkmaya başlamıştır. Ancak bu uyuşmazlıkların esastan çözümüne geçilmeden evvel mahkemeler, öncelikle davaların hangi ülke mahkemesinde açılacağı sorusuna yanıt vermelidir. Ne yazık ki bu sorunun yanıtlanması hiç de kolay değildir. Zira buluttaki veriler, hizmetler ve kaynaklar, ülkelerin coğrafî sınırlarından bağımsız bir hareket kabiliyetine sahiptir. Kullanıcılar genellikle sağlanan kaynaklar, hizmetler ve verilerin tam konumu üzerinde bilgi sahibi olmadığı gibi bunlar üzerinde bir kontrole de sahip değillerdir. Oysaki günümüzde milletlerarası yetkili mahkeme; sözleşmenin ifa yeri, malın bulunduğu yer ya da fiilin vuku bulduğu yer gibi coğrafî bir bağlantı unsurundan hareketle tespit edilir. Bu sebeple gerçekleşen hukuka aykırılığın konumu hakkında kesin bilgiye sahip olamamak ve uyuşmazlığın çok sayıda mahkemeyle irtibatlı oluşu, bulut bilişimde yetkili mahkemenin tespitini zorlaştıran hususlardır. Çalışmamızda tüm bu hususlar dikkate alınarak gelişmekte olan yeni teknolojik modelden kaynaklanan uyuşmazlıklarda milletlerarası yetkili mahkemenin tespitinde nasıl bir yaklaşım, ilke ya da kriterden hareket edilmesi gerektiği hususunu ele alacağız.
YAPAY ZEKA TEKNOLOJİSİ VE BERABERİNDE GETİRDİKLERİNİN SAĞLIK HUKUKU KAPSAMINDA DEĞERLENDİRİLMESİ
Authors: Diri Feyza
Published: May 2024

İnsan zihninin bilgiye ulaşma ve bilgiyi işleme yeteneklerini taklit eden bilgisayar ve makineler üretmeyi hedefleyen yapay zeka disiplini, her geçen gün gelişmekte ve hayatımıza yenilikler getirmektedir.
Gündelik hayatta çeşitli teknolojilerde karşımıza çıkan yapay zekanın, sağlık alanında kullanımı da gündeme gelmekte ve bu alanda gelişen teknoloji sayesinde sağlık hizmetlerinin daha iyi bir noktaya taşınması her geçen gün daha da mümkün hale gelmektedir.
Bu çalışma kapsamında yapay zekanın tanımı ve uygulanma biçimleri üzerinde durulacak, yapay zekanın sağlık alanında kullanıldığı bazı durumlara değinilecek ve bu kullanımların avantajlı ve dezavantajlı yönleri ile hukuki ve etik boyutları tartışılacaktır.
Yeni teknolojilere ayak uydurmak hayatın diğer alanlarında olduğu gibi sağlık alanında da bir zorunluluk olarak karşımıza çıkmakla beraber, yapay zeka teknolojisinin bünyesinde barındırdığı olumsuz durumlar da mevcuttur. Ayrıca hayatın diğer alanlarından farklı olarak sağlık alanında yapay zekanın uygulanmasının özellikle tehlike arz ettiği de göz önünde bulundurulmalıdır.
Bir tıbbi müdahale sonucu hastada fiziksel bir zarar meydana gelmesi veya tıbbi müdahale ile hedeflenen olumlu neticenin gerçekleşmemesi durumları ise ‘‘malpraktis’’ olarak adlandırılmaktadır. Yapay zekadan faydalanılarak geliştirilen sistemlerin, tıpkı bir sağlık personeli gibi teşhis ve tedavi faaliyeti yürüttüğü varsayımında, yapay zeka sisteminin hatalı çalışmasından dolayı malpraktis oluşması durumunda hukuki ve cezai sorumluluğun hangi sebeplere dayalı olarak, ne şekilde ve kimin aleyhine ortaya çıkacağı hususu da bu çalışma bünyesinde irdelenecektir.
Bunların yanı sıra yine bu çalışma bünyesinde; yapay zekanın en önemli avantajları arasında yer alan mevcut verileri işleyerek çıkarımda bulunma özelliğinin; bireylerin medikal durumlarına ilişkin kişisel verilerine yönelik uygulanması durumu etik ve hukuki yönleriyle tartışılacaktır.
Mesafeli Sözleşmelerde Aracı Hizmet Sağlayıcı Kavramı
Authors: Şahin Musa Furkan
Published: May 2024

Satıcı veya sağlayıcı ile tüketicinin eş zamanlı fiziksel varlıkları olmaksızın bir sistem çerçevesinde uzaktan iletişim araçları vasıtasıyla kurdukları mesafeli sözleşmenin aracı hizmet sağlayıcı aracılığıyla yapılması mümkündür. Aracı hizmet sağlayıcı kavramının tanımı, Türk hukukunda 6502 sayılı Tüketicinin Korunması Hakkında Kanun’un 48. maddesinde, Elektronik Ticaretin Düzenlenmesi Hakkında Kanun’un 2/I-d hükmünde ve Mesafeli Sözleşmeler Yönetmeliği’nin 4/I-i hükmünde; Avrupa Birliği mevzuatında ise 2011/83/AB sayılı Direktif m. 2/I-(18) hükmünde yer almaktadır. Bu düzenlemeler çerçevesinde aracı hizmet sağlayıcı, satıcı veya sağlayıcı ile tüketici arasında uzaktan iletişim sistemi vasıtasıyla mesafeli sözleşme yapılmasına imkân sağlayan ve aracılık eden gerçek veya tüzel kişi olarak tanımlanabilir. Buna göre aracı hizmet sağlayıcı kavramının unsurları: satıcı veya sağlayıcı ile tüketici arasında aracılık yapma, uzaktan iletişim sistemi kullanma, mesafeli sözleşme yapılmasına imkân sağlama ve gerçek veya tüzel kişi olmadır. Bu kavramın kapsamına ilişkin olarak doktrindeki ve uygulamadaki tereddütlerin giderilmesi için bu unsurların detaylı olarak açıklanması ve tartışmalı bazı hususlar üzerinde durulması gerekmektedir.
HUKUKİ METİNLERİN OTOMATİK İŞLENMESİNDE YAPAY ZEKÂ TEKNOLOJİLERİNİN KULLANIMI
Authors: Küçük Dilek , Can Fazlı
Published: May 2024

Yapay zekâ alanındaki güncel gelişmeler; diğer belli başlı alanlarla birlikte hukuk alanını da etkilemektedir. Geçmişte makine öğrenmesi; günümüzde ise derin öğrenme ve buna dayalı üretken yapay zekâ modelleri (algoritmaları) bilgisayar bilimleri alanında yaygın kullanılan yöntemlerdir. Bu gelişmelerle eş zamanlı olarak, yapay zekânın bir alt dalı olan doğal dil işlemede de kayda değer gelişmeler yaşanmış; yüksek başarımlı derin öğrenme yöntemlerinin bu alanda kullanımı ile büyük dil modelleri adı verilen ve geniş metin kümeleri üzerinde eğitilmiş modeller birbiri ardında ortaya çıkmıştır. Derin öğrenme tabanlı büyük dil modellerine dayalı bir araç olan ChatGPT gibi derin üretken yapay zekâ araçları ve bunların arka planında kullanılan derin öğrenme modellerindeki güncel gelişmelerle birlikte; hukuki metinler gibi alana özgü metinlerin hızlı ve yüksek doğrulukla işlenmesi ve karar verme işlemlerinin otomatikleştirilmesi mümkün hale gelmektedir. Bu çalışmada; hukuki metinlere yapay zekâ teknolojilerinin uygulanması konusunda yapılmış akademik çalışmaların tanıtıcı bir derlemesi sunulmaktadır. İlgili hukuki metinler arasında başlıca yasal mevzuat (kanunlar, yönetmelikler vb.), mahkeme kararları, hukuki dilekçeler, hukuki eğitim dokümanları ve sınavlar yer almaktadır. Yapay zekâ teknolojilerinin hukuki metinler üzerinde kullanımı ile hukuk alanındaki (1) metinlerin sınıflandırılması, (2) belgelerden bilgi çıkarımı ve bunlara erişimde başarının artırılması, (3) mahkeme kararlarının önceden tahmin edilmesi, (4) hukuki dilekçeler gibi belgelerin oluşturulması gibi birçok kayda değer işlem yüksek doğrulukla ve otomatik şekilde gerçekleştirilebilecektir. Bu yönüyle, hukuki metinler üzerinde yapay zekâ kullanımına ilişkin bu derleme çalışmamız; gelişmeye açık ve toplumlar üzerinde yaygın etkisi olan bir konuya odaklanması açısından önemlidir.
SPOTTING OF CYBERBULLYING ON SOCIAL MEDIA USING MACHINE LEARNING
Authors:   Malla Reddy University, Hyderabad, India-500100, K Dr.  RajeshwarRao
Published: May 2024

Cyberbullying occurs when someone harasses, threatens, or mistreats someone else online or on social media. Cyberbullying leads to threats, public embarrassment, and reprimands. Cyberbullying has caused a rise in youth suicide and mental health issues. It has lowered my self-esteem and escalated my suicidal thoughts. If cyberbullying continues, an entire generation of young adults will suffer from low self-esteem and mental health issues. Many machine learning algorithms are used to automatically identify social media cyberbullying. Social media monitoring allows this. These models don't account for all the factors that could make a comment or post bullying. Bullying is still ambiguous. This study presents a cyberbullying diagnosis model based on several factors. Cyberbully is a misuse of technology advantage to bully a person. This project is used Dataset namely,’ Cyberbullying-tweets’. This project used Machine Learning Classifiers such as Support Vector Machine (SVM), Random Forest (RF), Naïve Bayes (NB), and Neural Networks (NN), Logistic Regression(LR) Algorithms and calculated performance results for comparing the performance for dataset. Keywords: Cyberbullying Detection, Social Media Analysis, Machine Learning Models, Natural Language Processing (NLP), Text Classification , Feature Extraction, Sentiment Analysis, Textual Data Mining, Online Harassment, User Profiling, Toxic Language Detection, Hate Speech Detection, Content Moderation, Multi-Layer Perceptron (MLP), Support Vector Machine (SVM), Neural Network Algorithms, Lexicon-based Features, Syntactic Features, N-gram Analysis, Arabic Social Media (if focusing on Arabic language),User Behavior Analysis, Feature Engineering, Cross- Platform Analysis, Real-time Monitoring, Social Network Analysis
Performance Study of Hot & Cold Mix Using Bitumen and Emulsion
Authors:   DR. A. D. SHINDE COLLEGE OF ENGINEERING. Bhadgaon, Gadhinglaj. Dist.: Kolhapur Pin: 416502  Department of Civil Engineering, Khandekar Mr. Ketan
Published: May 2024

This project work describes laboratory experiments and presents results for the cold-mix mixtures. Construction of highway involves huge performances of hot and cold-mix mix outlay of investment. A precise design may save considerable amount of investment, as well, a reliable performance of the in-service highway can be achieved. Two things are of major considerations in this regard - pavement design and the mix design. This project work emphasizes some of the new considerations involved in the concept of mix design. Though there are a few equipment used for estimation of stability of the bituminous mixes in the laboratory. the Marshall test is the most popular one, possibly due to its simplicity and low cost.
Dynamic Playlist Generation using Machine Learning
Authors:   Department of CSE Chandigarh University Mohali, India, Yadav Ram Ashish
Published: May 2024

This study investigates the application of machine learning algorithms for dynamic playlist generation in the context of music recommendation systems. The traditional method of creating playlists frequently depends on immutable standards, like artist or genre, which might not adequately represent the unique and dynamic character of personal preferences. On the other hand, our suggested system makes use of machine learning methods to examine user behavior, preferences, and contextual elements in order to create playlists that are dynamically created and customized to each user’s individual preferences. In order to train machine learning models, the study collects user interaction data, such as listening history, skip patterns, and user feedback. To extract patterns and relationships from the data, a variety of algorithms are used, including hybrid models, content-based filtering, and collaborative filtering. After that, the models are incorporated into a dynamic playlist creation system that can eventually adjust to changing user preferences.Our test findings show how well the suggested strategy works to improve user experience by offering more interesting and customized playlists. With its ability to adjust to changing user preferences and contextual cues, the dynamic playlist generation system provides a smooth and pleasurable music discovery experience. We also talk about possible enhancements, implementation difficulties, and deployment considerations in the real world.This work adds to the ongoing efforts to improve music recommendation systems by demonstrating how machine learning can be used to develop more responsive and intelligent playlist generation systems. The results highlight how crucial customized experiences are in the constantly changing world of digital music consumption. Index Terms—hybrid mode, content-based filtering, intelligent playlist, music
OPTIMIZATION OF PHYSIOLOGICAL PARAMETERS FOR EXOPOLYSACCHARIDE PRODUCTION USING Pseudomonas aeruginosa MSSRFV42
Authors:   Assitant professor ,Institute of biosciences and technology ,MGMU Chh.Sambhajinagar, A.B Chudiwal
Published: May 2024

Exopolysaccharides (EPS) are long-chain polysaccharides containing branched, repeating units of sugars or sugar derivatives such as glucose, fructose, mannose and galactose etc, which are secreted into their surrounding environment during the bacterial growth. Due to their unique properties and vast array of application, isolation and study of new EPS producing microbes is highly concerned issue. In the present study potent exopolysaccharide producing AB4 bacteria (Pseudomonas aeruginosa MSSRFV42) which was previously isolated and screened from marine sample was used. To increase the yield of exopolysaccharide significant physiological parameter were determined Submerged fermentation at pH 10 and temperature of 300C gave maximum yield of EPS after 72 hrs incubation using 1% inoculums in media containing 3.5% NaCl. Outcome of this study will definitely contribute in the elucidation components of AB4 EPS in various industries . Keywords: EPS, Pseudomonas aeruginosa, Optimization
Empowering College Communities through Digital Innovation: The Uni-Safe App's Role in Combating Bullying
Authors:   Lovely professional university, Darbhanga, India, Thatal, Adip
Published: May 2024

The bullying in a college is major issue in today’s educational setting, negatively affecting student’s mental health and their overall health. This research paper presents an innovative approach implemented in a college for combating bullying with the aid of digital technology platforms. The technological intervention is the creation of app called Uni-Safe, using flutter framework renowned for its dynamic nature, versatile and responsive behaviour. Uni-Safe consists of various features such as user-friendly interface, real-time reporting features, and a confidential platform for students to raise their problems without having concern for identity revelation. The application was deployed to college environments and post analysis was continuously done to assess its effectiveness in resolving the issue. Though the app significantly reduced complexities and enhanced overall wellbeing of college dynamic still there presents a disparity as it is focusing on one college only instead of broader spectrum of educational institutions that could give higher insight into societal well-being.
RRefined and Effective Integration of Access Control Mechanism in Blockchain Enabled DApp
Authors: Sherry Dr.R.M.R.Shamija
Published: May 2024

The combination of the Internet of Things (IoT) and aviation integration with the help of satellite and 6G communication technologies has led to the Internet of Unmanned Aerial Vehicles (UAV) or Internet of Drones (IoD). To host and share large amounts of drone data in real time, cloud-based IoD algorithm Cloudbased IoD is the wrong choice to reduce the weight of mobile drones. However, how to protect the sensitive drone at the fair is a matter of curiosity, and it is very difficult to break the environment where drone use is available and limited resources are available. Although our previous work in SPNCE21 (PATLDAC) developed an air-on middle of the main load of based drone data access control system with privacy policy, limited access time and user tracking, it provides conflicting and centralized cloud data storage for cloud environment and access with unreliable data. It is not reliable in terms of data access and tracking of users. To this end, we propose a blockchainbased privacy data access control (BPADAC) scheme for distributed and secure drone data sharing on cloudbased IoDs. Building on the granular, traceable, and privacypreserving drone data access capabilities of our previous work, we extend this by using blockchain and decentralized hash tables (DHT) to provide secure and reliable wireless access to humanmachine data and storage. as well as reliable and limited access guarantee mechanisms for cloud drone data sharing services. We also set up a public and denial user tracking system to prevent user abuse and deny the traitor. Finally, we propose a prototype for security analysis and performance evaluation using smart contracts on the Ethereum blockchain to demonstrate the feasibility of BPADAC. hash table, attributebased ciphertext encryption policy, and blockchain-based privacy-protected enabled and aware data access control Key Words: Blockchain, UAV,IoD, Distributed Hash Table, Ciphertext-Policy-Attribute-Based-Encryption, blockchainbased privacy-aware data access control
IMPACT OF SERVICE QUALITY ON CUSTOMER LOYALTY IN LIFE INSURANCE SECTOR: THE MEDIATING EFFECT OF CUSTOMER TRUST
Authors:   Lumbini Banijya Campus  Butwal, Nepal, Yadav Dhirendra
Published: May 2024

The aims of this article is to analyze the Impact Of Service Quality On Customer Loyalty In Life Insurance Sector with The Mediating Effect Of Customer Trust. The primary data has been collected through structure questionnaire by using google form. A descriptive research design is used and the result of this study is based on 72 respondents collected through purposive sampling technique. Statistical tools such as descriptive statistic, one-way ANOVA, independent t-test, correlation analysis, and regression is used to measure the relationship between the variables. The result of this study shows that service quality and customer trust both has an significant relationship with customer loyalty. The study found that trust had a greater influence on determining customer loyalty than service quality. Also there is no any significant effect of demographic factors on customer loyalty. The findings of this article suggest, the insurance company have to increase the quality of service to make a loyal customer and improve the customer trust by providing various scheme and premium. Keywords: Service Quality, Customer Trust, Customer Loyalty, Life Insurance Sector
360 DEGREE DESTROYER FOR MILITARY
Authors:   Dept. of ISE, East West Institute of Technology, Bengaluru, H S Mrs. Anjana
Published: May 2024

The "360 Degree Destroyer for Military" model operates by automatically detecting various threats such as missiles, tankers, guns, humans, and drones using a laptop camera. Detection is accomplished through the implementation of CNN algorithms. Instead of firing upon detection, the system utilizes a laser to pinpoint detected object and LED is used to indicate the threat level of the detected object, and this system also detects the land mine using metal sensor. Messages indicating the presence of detected objects are promptly sent to Telegram for immediate action. Additionally, the movement of the robot can be controlled manually via Bluetooth by establishing a communication link between a Bluetooth-enabled device (such as a smartphone or a computer) and the robot's control system. This link allows commands to be sent wirelessly from the device to the robot, enabling control over its movement. This manual control via Bluetooth can include commands to move forward, backward, turn left or right, stop, or perform other predefined actions. This innovative approach to threat detection and communication provides a flexible and efficient solution for defense strategies, enhancing situational awareness and response capabilities. Keywords--- Threat Detection, Land Mine, Missiles, Tankers, Guns, Humans, Drones, Laptop Camera, CNN, Laser, Led, Telegram, Bluetooth.
A New Wave in Biometric System: Systematic Study incorporated with Artificial Intelligence
Authors:   Department of Computer Science and Engineering India, Gupta Ms. Neha
Published: May 2024

Biometric system is a technique used to identify a person using its personal identification methods. The main concept of biometric systems is to provide confidentiality and security to the user. A number of biometric systems are introduced but some systems are widely used and are famous because of their usage and security they provide. Physiological and Behavioral biometrics are the two types of biometric systems. Biometric systems include physiological biometric like face recognition, finger print recognition, ir is recognition and behavioral biometrics like signature recognition and voice recognition. All these recognition systems are discussed in this research paper. Biometric systems work on three levels: Enrollment, Verification, and Identification. Enrollment is the process in which patterns are captured from the user and stored in the database. Verification means to confirm that the sample entered by the user belongs to him or not. When the user wants to access the data then the user must use his/her biometrics that the systematic hacks that the person who wants to access the data is the real owner of the data or not. This process is identification. All three levels are the working levels of the Biometric System. In earlier years, biometrics was used only at ground levels to provide basic security to data but now the tables have turned. It is playing a major role in providing security to our data. Biometrics are not only used in day-to-day life in phone unlocking, phone assistants, attendance systems but also used at advanced levels like in airports, border security, cloud computing etc. In this research paper, we will discuss the future scope of biometric systems and how it could even change the future.
Advancements in Text-to-Image Generation through Generative AI
Authors:   Students, Department of Computer Science and Engineering, Babu Banarsi Das Northern India Institute of Technology, Srivastava Ananya
Published: May 2024

Text-to-image generation, a fascinating intersection of natural language processing and computer vision, has witnessed remarkable progress in recent years. This research paper provides a comprehensive review of the state-of-the-art techniques, challenges, and applications in the field of text-to-image generation. The paper aims to analyze various approaches, discuss their strengths and limitations, and highlight potential directions for future research. Generative Artificial Intelligence (Generative AI) has revolutionized the fusion of textual information and visual content, giving rise to sophisticated Text-to-Image generators. In this context we will discuss dynamic landscape of Generative AI-driven text-to-image synthesis, exploring the state-of-the-art models, underlying architectures, and the impact of training strategies on the quality of generated images. The paper provides a comprehensive overview of Training strategies, encompassing dataset selection and fine-tuning approaches, are scrutinized for their impact on model performance. Common challenges, such as handling ambiguous textual descriptions and ensuring the avoidance of mode collapse, are addressed, offering insights into potential avenues for improvement. Training strategies, encompassing dataset selection and fine-tuning approaches, are scrutinized for their impact on model performance. Common challenges, such as handling ambiguous textual descriptions and ensuring the avoidance of mode collapse, are addressed, offering insights into potential avenues for improvement. Applications of Generative AI text-to-image generators are explored, ranging from content creation to virtual environment design, highlighting their versatility and real-world utility. Ethical considerations surrounding potential misuse, including the creation of deepfakes, are examined to foster a balanced understanding of the technology's societal implications. The research paper concludes with a forward-looking exploration of future directions in Generative AI text-to-image generation. Emphasizing the transformative potential of this technology, the paper envisions advancements in model architectures, training methodologies, and emerging applications, inviting researchers and practitioners to contribute to the ongoing evolution of this exciting field.
Automated IoT Based Power Disconnection for unpaid Subscribers
Authors:   Department of Electronics & Communication Engineering  Priyadarshini College Of Engineering, Khawase Laxmi
Published: May 2024

This project presents an innovative solution leveraging Internet of Things (IoT) technology to automate the process of power disconnections for unpaid subscribers in utility services. The conventional method of manually disconnecting power for non-payment is not only inefficient but also poses operational challenges and risks. Our proposed system aims to address these issues by integrating IoT devices, billing systems, and automated disconnection protocols. Key features of the system include real-time monitoring of subscriber accounts, customizable disconnection thresholds, and secure communication protocols to safeguard sensitive data. Additionally, the system offers flexibility for utility providers to implement payment reminders and grace periods, enhancing customer engagement and satisfaction. Through simulations and prototype testing, we demonstrate the efficacy and reliability of our automated IoT-based power disconnection system. Our solution not only streamlines the disconnection process but also reduces operational costs, minimizes revenue losses due to non-payment, and enhances overall efficiency in utility management.
Apple Fruit Disease Classification using Naive Bayes Algorithm
Authors:   Sri Shakthi Institute of Engineering and Technology, S Naveen
Published: May 2024

Apples are one of the most productive varieties of fruit in the world, with a high nutritional and medicinal value. However, numerous diseases affect apple production on a wide scale, resulting in significant economic losses. These diseases often go overlooked until just before, after, or after fruit has been processed. Many pathogens can be avoided with cultural traditions and (optional) fungicides, even if there are no cures for tainted fruit. However, accurate diagnosis is essential for determining the right management practices and preventing further losses. Apple scab, apple rot, and apple blotch are some of the most prevalent diseases that affect apples. The proposed approach will greatly aid in the automated identification and classification of apple diseases, according to our test results. We discovered that normal apples were easy to discern from diseased apples in our trial, and that the texture-based GLCM function produced more reliable results for apple disease classification, with a classification accuracy of more than 96.43 percent. This demonstrates that combining the GLCM extraction function with naive bayes classification will greatly improve accuracy. Key Words: Naive bayes, Apple Diseases, Classifier
ProQuiz
Authors:   Department Of Computer Science and Engineering  IIMT College of Engineering, Pal Rishabh
Published: May 2024

ProQuiz is an app designed for educational purposes, specifically to help users prepare for multiple-choice exams, especially in the field of computer science. The app aims to make studying enjoyable by incorporating elements of gamification. The primary objective of ProQuiz is to assist users in getting ready for subjective tests used in admissions and recruitment processes, with a focus on the computer science domain. The app is organized into three main modules: computer science, reasoning, and analytical skills. Each of these modules covers various sub-categories to address different subjects. During the quiz, users have access to helpful features such as hints, the ability to skip questions, and a pause/life-lines option. These features can be used only once per user. The app also provides feedback on progress throughout the quiz, and upon completion, it displays the user's results. The overall aim is to provide users with an engaging platform for practicing and enhancing their knowledge in a variety of subjects related to computer science. This research paper examines the development and effectiveness of ProQuiz. Through user testing and analysis, we evaluate its usability and engagement. Additionally, we propose enhancements, including personalized learning paths and social features. This paper contributes insights into innovative educational technology and suggests avenues for future improvement of ProQuiz.
Influencer Marketing in the Digital Age: Exploring the Influence of Social Media Influencers on Consumer
Authors:   Mittal School of Business, Lovely Professional University, Sharma Dr. Parul
Published: May 2024

Through the research we are going to discover how social media influencers do impact consumer behavior, especially that of purchasing. It brings forth the existential question of how much influential the lifestyles of social media stars have on consumer behavior as among the younger generation there is a strong tendency to copy the lifestyle of influencers. The research demonstrates information which illustrates that there is a considerable number of both male and female consumers that are mostly guided by what social media influencers recommend, with this having the highest proportion among the youth. Views of influencers influence the probability of buying products or services most likely, among female participants and individuals between 20-25 years old. The study finds that the credibility of influencers is positively related to the probability of ordering everything they advertise, especially on the young people. The effect of influencers on the buying decision is likewise inherently related to the trustworthiness of the product endorsed, showing how significant the authentic content is. The report highlights the importance for these brands to comprehend how influencer marketing works, relate it to consumer trust and purchasing behavior, so that they may effectively take advantage of this aspect of social media. Key Words: Influencer marketing, Consumer behavior, social media, Purchasing decisions, Authenticity, Brand management, Online marketing, Consumer trust.
Assessing the Impact of Different Marketing Techniques on Youth Perception Towards Health Nutrition-Related Products
Authors:   Mittal School Of Business, Lovely Professional University, Sharma Dr. Parul
Published: May 2024

research study aims to investigate This and assess the influence of various marketing techniques on the perceptions of youth regarding health and nutrition-related products. In today's consumer-driven society, the marketing strategies employed by companies play a significant role in shaping consumer attitudes and behaviors, particularly among the younger population and young individuals aged between 18 and 25 years and mainly Lovely Professional University. The research will focus on analyzing the impact of various marketing techniques such as celebrity endorsements, social media promotions, educational campaigns, and packaging designs on the youth's perception of health nutrition-related products. Findings from this study will provide valuable insights for both marketers and policymakers seeking to promote healthier dietary choices among the youth population. By understanding the specific marketing techniques that resonate positively with young consumers and contribute to improved perceptions of health nutrition-related products, stakeholders can develop more targeted and effective strategies to encourage healthier lifestyles among the youth. Key Words: marketing techniques, youth perception, health nutrition, consumer behavior, dietary choices.
A Bibliometric Analysis of Social Responsibility and Geopolitics Influences on Sports Sponsorship
Authors:   Lovely professional University, Aryan Altaf
Published: May 2024

Through bibliometric analysis, this study offers a thorough investigation of the connection between geopolitics, sports sponsorship, and social responsibility. We investigate the degree of unhealthy sponsorship in junior community sports teams, taking into account policy implications, public health issues, and regional and socioeconomic inequities. We used a multidisciplinary approach, gathering relevant papers using bibliometric analysis and conducting a literature review to assess the state of the field. While qualitative approaches were utilized to look into public opinion, quantitative techniques were applied to examine data on sponsorship agreements. We also looked at the laws and policies that are in place right now regarding sports sponsorship. Legislative adjustments are necessary to lessen the negative consequences of geopolitics on public health and social responsibility, as our synthesis and interpretation of the data show.
A STUDY ON IMPACT OF DIGITAL MARKETING IN BRAND AWARENESS
Authors:   UG Student, SOEC, CMR University, Bangalore, N Vydeshwari
Published: May 2024

This study investigates the influence of digital marketing strategies on brand awareness among consumers. Through a comprehensive review of literature and empirical analysis, the study reveals the significant role played by various digital marketing channels such as social media, search engine optimization, and content marketing in enhancing brand visibility and recognition. The findings suggest that companies leveraging digital marketing effectively experience higher levels of brand awareness compared to those relying solely on traditional marketing approaches.
A STUDY ON THE ROLE OF EMOTIONS IN INVESTMENT DECISION MAKING
Authors:   CMR UNIVERSITY (Autonomous), Bengaluru, India., N Ms. SNEHA
Published: May 2024

When faced with the dilemma of making a decision; emotions have always had the potential to cause a paradigm shift. Predictability, confidence, persuasiveness, pro activeness, anxiety, pride, enviousness, and other emotions can make or break a situation or event by reflecting one's personal significance. Decisions are influenced by emotions in large part by the depth of thought. Feelings likewise endeavour to impact the data handling which is again connected with independent direction. This study means to give a comprehension because of various feelings engaged with the venture independent direction and how they make an impact on both gamble and returns related along. The review goes through in assessing the connection among feelings and venture navigation. The study also explains why emotional intelligence is one of the best predictors of workplace success.
A STUDY ON FACTORS AFFECTING THE HOME LOAN FINANCING IN SBI BANK
Authors:   MASTER OF BUSINESS ADMINISTRATION  SCHOOL OF MANAGEMENT STUDIES  SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY, CHENNAI - 600 119, S NITHISH KUMAR
Published: May 2024

This study aims to identify and analyze the key factors affecting home loan financing in State Bank of India (SBI). By examining the loan application process and the decision-making criteria within the bank, the research seeks to provide insight into the elements that contribute to successful home loan approvals and rejections. Data were collected through a combination of interviews with SBI bank officers, a survey of home loan applicants, and analysis of loan approval records. Factors such as creditworthiness, income stability, loan-to-value ratio, property type, and customer relationship with the bank were examined. The findings suggest that while traditional criteria such as credit score and income remain important, other factors like customer loyalty and the bank's risk appetite play a significant role in determining home loan approval. The study concludes with recommendations for both the bank and future home loan applicants to optimize the loan financing process, including the development of a more nuanced risk assessment model and enhanced customer education initiatives.