bluuebunny/crossref_metadata_2025 huggingface dataset:
Mental health status among corporate- and public sector health care workers in India during COVID-19 pandemic (second-wave): Impact of awareness, work satisfaction, risky work-environment practices and social media usage on DASS-21 & IES-R scores
Authors: Sreenivasan Sanjeev , Agarwal Neha , Parikh Samir , Singh Preeti , Patir Rana , Roychowdhury Sudipta , Gupta Gaurav
Published: May 2024

Introduction: With the advent of coronavirus pandemic, health care workers (HCWs) faced numerous professional, financial, and emotional challenges in addition to social stigma. Objective: It was intended to analyse the correlation of depression, anxiety, and stress among corporate and public sector HCWs, with awareness, risky work environment practises, work-environment satisfaction and social media preferences. Materials and Methods: Doctors, nurses and paramedical staff in critical care, obstetrics, neuro-anaesthesia and neurosurgery wards/ICUs in a public and corporate sector hospital were administered DASS-21 (depression-anxiety-stress scale), IES-R (impact of event scale-revised) and a common perception-based survey to assess the HCW awareness (AWA), work environment satisfaction (WES), risky work environment practises (RWE) and social media preferences (SM scale). Results: In corporate sector, being a nurse correlated with higher scores of stress (rs =1, p=0), DASS (rs =0.34, p=.114), depression (rs =0.54, p=.007), anxiety (rs =0.42, p=.041) and IES-R (rs =0.34, p=0.13). SM score negatively correlated with anxiety (rs =0.58, p=0.045), stress (rs =0.418, p=.041), DASS (rs =0.62, p=.001) and IES-R (rs =0.45, p=.031). In public sector, female HCWs had higher DASS (t=2.61, p=.018), anxiety (t=2.2, p=.03), stress (t=-2.11, p=.011) and IES-R (t=-1.86, p=0.07). AWA score negatively correlated with anxiety (R=-0.56, p= .005), DASS (rs=-0.48, p=.004) depression (p= .283), stress (p= .11) and IES-R (p= .101). RWE score strongly correlated with anxiety (rs =0.39, p= .027). Depression (D total, p= .010) and IES-R (p= .024) were significantly higher in public sector HCWs. Anxiety (A total, p= .108) and stress (S total, p= .246) were lower in corporate sector HCWs. Conclusion: Corporate sector nurses and female HCWs in the public sector showed significantly higher stress, depression, and anxiety scores. Increasing awareness about disease could mitigate stress, anxiety, and depression while prevailing social media preferences aggravate anxiety, stress, and depression.
EDUCAÇÃO ESCOLAR QUILOMBOLA: UM OLHAR SOBRE QUESTÕES FUNDAMENTAIS DO CURRÍCULO ESCOLAR
Authors: Alves Lion Granier , Franqueira Alberto da Silva , Florentino Bianca Blandino , Moura Cleberson Cordeiro de , Chagas Jéssica da Cruz , Silva Rodrigo Vicente da , Santos Silvana Maria Aparecida Viana , Viana Silvanete Cristo
Published: May 2024

O estudo concentrou-se em examinar as práticas educativas nas escolas quilombolas, particularmente no aumento da valorização da cultura afro-brasileira e na promoção de uma educação mais inclusiva e culturalmente relevante para os alunos quilombolas. A pesquisa buscou explorar as interações entre cultura, currículo escolar e identidade nas escolas quilombolas, visando compreender os desafios e oportunidades na implementação de um currículo que respeite e celebre a diversidade étnica e cultural dessas comunidades. Com base nas ideias de estudiosos proeminentes como Nilma Lino Gomes, Homi Kharshedji Bhabha e Kabengele Munanga, o estudo sublinhou a importância da descolonização dos currículos, da promoção da diversidade cultural e do reconhecimento da identidade racial nas escolas quilombolas. As conclusões destacaram a necessidade crítica de reavaliar as práticas educacionais existentes e adotar abordagens inovadoras que honrem e empoderem as comunidades quilombolas, enriquecendo assim o cenário educacional geral no Brasil. As principais recomendações incluíram o desenvolvimento de diretrizes curriculares personalizadas para a Educação Escolar Quilombola, iniciativas especializadas de formação de professores e a criação de materiais educacionais que abracem e defendam a diversidade étnica e cultural predominante nas escolas quilombolas.  As conclusões enfatizaram a necessidade de implementar políticas educacionais que celebrem a cultura afro-brasileira e defendam o respeito pela diversidade étnica e cultural, com o objetivo final de promover um ambiente educacional mais inclusivo e empoderador para estudantes quilombolas. Além disso, houve um apelo à continuação do discurso acadêmico sobre a descolonização dos currículos e o avanço da igualdade racial no contexto educacional brasileiro. Sugeriu-se a realização de pesquisas longitudinais para avaliar a efetividade de tais políticas e práticas pedagógicas inovadoras em escolas quilombolas.
HISTÓRIA, RESISTÊNCIA E IDENTIDADE - UM ESTUDO PROPEDÊUTICO DA DIÁSPORA AFRICANA
Authors: Alves Lion Granier , Franqueira Alberto da Silva , Moura Cleberson Cordeiro de , Cruz Gean Souza , Boechat Gisela Paula Faitanin , Carmo Jonathan Porto Galdino do , Gervásio Júlio César Belo , Santos Silvana Maria Aparecida Viana
Published: May 2024

Este artigo investiga uma exploração abrangente da história, resistência e identidade da diáspora africana, concentrando-se particularmente no estudo propedêutico da cultura quilombola no Brasil. O objetivo geral da  pesquisa é investigar a evolução dos primeiros quilombos no Brasil, lançando luz sobre seu papel crucial na salvaguarda da cultura afro-brasileira, na defesa de direitos e reconhecendo sua contribuição fundamental para a rica tapeçaria da diversidade cultural no país. Através de uma abordagem interdisciplinar que integra conhecimentos de historiadores, antropólogos e educadores, esta investigação sublinha o profundo significado dos quilombos como locais potentes de resistência cultural, social e política contra a opressão e a exploração colonial.  Estudiosos como Adelmir Fabiani, Kabengele Munanga e Nilma Lino Gomes acentuam a necessidade de reconhecer e elevar as vozes e narrativas das comunidades quilombolas. Enfatizam a resiliência e a capacidade destas comunidades para defender e transmitir tradições ancestrais face à marginalização e discriminação generalizadas. Ao explorar o legado duradouro dos quilombos como bastiões de resistência e preservação cultural, este estudo procura sublinhar o seu papel fundamental como agentes ativos na preservação e promoção da identidade afrodescendente.  Além disso, esta pesquisa sublinha a necessidade de iniciativas educacionais e políticas que defendam a resiliência, a autonomia e a herança cultural das comunidades quilombolas. Defende uma abordagem consciente para promover a consciência sobre o significado histórico e cultural dos quilombos, visando cultivar uma sociedade mais inclusiva e equitativa. Futuras pesquisas poderiam aprofundar as diversas formas de resistência dentro dos quilombos e explorar sua relevância contemporânea na sociedade brasileira, com o objetivo de formular políticas públicas mais holísticas e igualitárias que honrem e empoderem essas comunidades.
COMPLICAÇÕES FETAIS OCASIONADAS PELA DIABETES MELITUS GESTACIONAL: UMA REVISÃO DE LITERATURA
Authors: Bezerra Wesley Douglas Oliveira , Silva Fernando José de Morais , Resende Isadora Lopes , Nascimento Maria Franciele Araújo do , Alves Joquebede Silva , Costa Sandro Pinheiro da , Lima Rosana Silva , Capingana Isoldina Ngueve Chindemba , Silva Fernanda Mayara de Souza Franco , Soares Rayane Poliana Gomes , Costa Flávia de Araújo
Published: May 2024

INTRODUÇÃO: O diabetes mellitus gestacional (DMG) é uma patologia da gravidez, gerando aumento da disponibilidade de glicose exacerbada, o que pode ocasionar várias consequências para a mãe e para o feto, sendo considerado um problema de saúde pública. Por isso, é de grande importância o diagnóstico e o acompanhamento adequado no pré-natal. OBJETIVO: Enfatizar as consequências fetais e neonatais decorrentes da DMG.  MÉTODOS: O presente estudo trata-se de uma revisão integrativa da literatura, foi realizado um levantamento bibliográfico de caráter descritivo e exploratório, através das bases de dados: SciELO, Medline e Lilacs, utilizando os descritores: “Diabetes gestacional”, “Complicações da gravidez”, “Gestação”, através do operador booleano “AND”. A catalogação dos artigos foi realizada, tendo como critérios de inclusão artigos nos idiomas: Espanhol, inglês e português, dos anos de 2010 a 2024 e de exclusão, textos com apenas o resumo disponível. Após essa filtragem foram selecionados 21 artigos. RESULTADOS: Observou-se que gestantes portadoras de DMG possuem um risco maior de desenvolver complicações gestacionais, e em decorrência disto, o feto pode desenvolver malformações congênitas, dentre as quais se destacam: cardiomiopatia hipertrófica, tetralogia de Fallot, doença arterial coronariana, fissuras orofaciais. Além disso, foi observado que os neonatos têm um maior risco de desenvolver anomalias do sistema nervoso, trissomias do 21, prematuridade, baixo peso e macrossomia. Conclusão: Em vista destes fatores, torna-se necessário o acompanhamento pré-natal afim de diagnosticar precocemente a DMG e realizar as intervenções necessárias, como: educação em saúde e orientação nutricional da gestante, com o intuito de prevenir tais complicações.
Nghiên cứu sử dụng tro bay và xỉ đáy lò của nhà máy điện rác Ngôi Sao Xanh để chế tạo bê tông cường độ cao trong điều kiện phòng thí nghiệm
Authors: Vũ Ngọc Trụ  , Văn Lâm Tăng , Hồ Anh Cương  , Lại Ngọc Hùng
Published: May 2024

Bài báo này trình bày kết quả nghiên cứu thực nghiệm về khả năng sử dụng các nguồn phế thải của nhà máy điện đốt rác Ngôi Sao Xanh để chế tạo bê tông cường độ cao trong điều kiện phòng thí nghiệm. Thành phần vật liệu sử dụng gồm có xi măng Portland hỗn hợp PCB40 Bút Sơn, cốt liệu mịn là cát vàng sông Lô, cốt liệu lớn là đá dăm kích thước 5÷10 mm, tro bay và xỉ đáy lò của nhà máy điện đốt rác Ngôi Sao Xanh kết hợp với phụ gia siêu dẻo giảm nước. Kết quả nghiên cứu đã cho thấy khả năng sử dụng (20÷30)% các loại tro bay và xỉ đáy lò của nhà máy điện đốt rác để chế tạo bê tông cường độ cao. Hỗn hợp bê tông thu được có tính công tác tốt, độ sụt từ 15 cm đến 20 cm, cường độ nén ở tuổi 28 ngày dao động từ 50 MPa đến 60 MPa. Với quá trình phát triển các nhà máy đốt rác phát điện như hiện nay, thì việc nghiên cứu tải sử dụng các nguồn phế thải tro xỉ của các nhà máy điện đốt rác là cần thiết để góp phần thúc đẩy nền kinh tế tuần hoàn bền vững.
EDITORIAL. Impacto de las infecciones virales en la autoinmunidad.
Authors: Larreal Yraima , Vargas Renata
Published: May 2024

Impact of viral infections on autoimmunity
Autoimmune disorders arise from an abnormal immune response influenced by genetic factors, age, and the environment. Many viruses, such as the Epstein-Barr virus, cytome-galovirus, herpes virus-6, and more recently, the SARS-CoV-2 virus, have been identified as environmental triggers of autoimmunity. The complex association between viruses and au-toimmunity depends on the nature of the virus, genetic predisposition, and the host’s immu-ne status. Additionally, viruses can trigger autoimmune diseases by interacting with factors such as genetic polymorphisms, infections, hormonal status, microbiota, chemicals, drugs, and even vaccines. Molecular mimicry is the primary mechanism of virus-mediated autoim-munity caused by the loss of peripheral tolerance and cross-reactivity between foreign and self-peptides. Therefore, viral infections, especially chronic ones, stand out as a predisposing factor in the immunopathogenesis of autoimmunity. The incidence and prevalence of au-toimmune disorders are increasing globally, with significant implications for population mor-bidity and mortality, including cases of autoimmune diseases following COVID-19 in patients without a history of autoimmunity. Laboratory diagnosis of autoimmune diseases requires several tests to validate the association, including confirmation of the potential triggering agent and certification of the autoimmune disease. The period between viral infection and the onset of autoimmunity is variable, and once established, autoimmune diseases generally require some form of permanent treatment. The complex relationship between viruses and autoimmunity underlines the need for further research to understand the molecular mecha-nisms of autoimmune diseases and to develop more effective therapeutic approaches.
Surgical complications in children with IgA vasculitis: clinical analysis of 28 cases.
Authors: Mu Jing , Hao Jing , Zhen Xiaofang , Mo Xin , Sheng Yan
Published: May 2024

Abstract. Intussusception and intestinal perforation are surgical severe complications in children with IgA vasculitis (IgAV). Early diagnosis and timely appropriate surgical intervention can reduce damage to the children. We an-alyzed retrospectively the clinical characteristics, auxiliary examinations, di-agnosis, treatment, and prognosis of 28 children with IgAV accompanied by surgical complications (including intussusception in 21 patients and intesti-nal perforation in seven patients) who were admitted to the Beijing Children’s Hospital of the Capital Medical University from May 2016 to December 2020. Within one year after the data was collected, the parents of the children were interviewed by telephone about their treatment. Increased peripheral leuko-cytes were observed in 60.7% of children. Serum C-reactive protein (CRP) and D-dimer were elevated in 53.3% and 75% of children, respectively. Gastroin-testinal bleeding was identified in 39% of children. Of the children with intus-susception, the symptoms subsided spontaneously in four children and after air enema in another four. Four children underwent laparotomy and manual reduc-tion. Nine patients underwent enterectomy and anastomosis. Enterectomy and anastomosis were performed in the seven patients with intestinal perforation, two of whom underwent enterostomy concurrently. Increased inflammation in-dexes, elevated D-dimer, and persistent abdominal pain without relief may be risk factors for surgical complications in children with IgAV.
Genetic association study of the rs10774671 variant of the OAS1 gene with the severity of COVID-19 in an Ecuadorian population.
Authors: Pilataxi Kathya , Balarezo Thalía , Chávez Erik , Acosta Camila , Peña Ivonne Z. , Narváez Katherin , Álvarez-Nava Francisco
Published: May 2024

COVID-19 exhibits a wide range of phenotypic manifestations, from asymptomatic to severe phenotypes with fatal complications. The exis-tence of risk factors cannot entirely explain the variance in the phenotypic vari-ability of COVID-19. Genome-wide association analyses have identified target human genes related to virus transmission and the clinical phenotype observed in COVID-19 patients. Genetic variants on the OAS1 gene have been associ-ated with innate immune processes (entry phase and viral replication in host cells). The A or G alleles of rs10774671 in OAS1 encode isoforms with different antiviral activities. One hundred COVID-19 patients were genotyped for the rs10774671 using RFLP-PCR (severe form, n = 43; asymptomatic-mild, n = 57). The susceptibility of the two groups to the severe phenotype of COVID-19 was compared. The allele frequency for A was 0.8. The genotypic frequencies for AA and GG homozygotes were 0.62 and 0.02, respectively. A Hardy-Weinberg equilibrium deviation was found in both groups. No statistically significant as-sociations were found in genetic models adjusted for sex (for the additive model OR = 1.18, 95% CI = (0.53-2.61), p = 0.69). A relatively recent mix of different ethnic groups and sample size may influence these findings.
Mechanisms of programmed cell death: structural and functional pathways. A narrative review.
Authors: Fernández-Lázaro Diego , Sanz Begoña , Seco-Calvo Jesús
Published: May 2024

Apoptosis, necroptosis, and autophagy are cellular mechanisms by which cells are programmed to die under various physiological and devel-opmental stimuli. A multitude of protein mediators of programmed cell death have been identified, and apoptosis, necroptosis, and autophagy signals have been found to utilize common pathways that elucidate the proteins involved. This narrative review focuses on caspase-dependent and caspase-independent programmed cell death systems. Including studies of caspase-dependent pro-grammed cell death, extrinsic pathway apoptotic mechanisms, phosphatidyl-serine (PS), FAS (APO-1/CD95), tumor necrosis factor (TNF) receptor type 1 (TNF-R1) and TNF-related apoptosis-inducing ligand (TRAIL), and intrinsic or mitochondrial pathway such as cytochrome C, the Bcl-2 family of proteins and Smac/Diablo. The Bcl-2 family has apoptotic mediators Bcl-2-associated X protein (Bax) and Bcl-2 homologous antagonist/killer (Bak), Bcl-2-interacting protein BIM (Bim), Bcl-2 agonist of cell death (Bad), Bid, Bcl-2 adenovirus E1B 19kDa-interacting protein 1 NIP3 (Bnip3), BMF, HRK, Noxa and PUMA and an-tiapoptotic proteins such as Bcl-2 itself, Mcl-1, Bcl-w, A1, and Bcl-XL. Moreover, caspase-independent programmed cell death pathways include the mitochon-drial pathway with the protein mediators apoptosis inducing factor (AIF) and endonuclease G, and the pathways necroptosis, and autophagy. Understanding programmed cell death from those reported in this review could shed substantial light on the processes of biological homeostasis. In addition, identifying specific proteins involved in these processes is mandatory to identify molecular biomarkers and therapeutic targets. Furthermore, it could provide the ability to modulate the programmed cell death response and could lead to new therapeu-tic interventions in a disease.
KATILIM ESASLI PAYA DAYALI KİTLE FONLAMA MODEL ÖNERİSİ
Authors: Baştuğ Serdar
Published: May 2024

Girişimcilik ekosisteminin ihtiyaç duyduğu finansmana erişime yönelik modellere olan ilgi her geçen gün artmaktadır. Yenilikçi girişimlerin finansman erişiminde Kitle Fonlama (KF) yöntemi önemli bir boşluğu doldurmaktadır. KF’nin, ödül, bağış, pay ve borçlanmaya dayalı olmak üzere dört türü vardır. Dünyada sayıları her geçen gün artan KF yöntemi, katılım finans alanında da alternatif sunmaktadır. Özellikle paya dayalı KF yöntemi, özü itibariyle İslam’ın öngördüğü ortaklık yöntemlerine uygun modeldir. T.C. Cumhurbaşkanlığı Finans Ofisi tarafından yayınlanan 2022-2025 yılı katılım finans strateji belgesinde, KF modelinin ortaklık yöntemi ve sosyal finansı içine alan yönü ile katılım finansın gelişimine katkı sağlayacağı vurgusu yapılmıştır.
Ülkemizde paya ve borçlanmaya dayalı modeller, 27.10.2021 tarih (III – 35/A.2) tebliğ kapsamında düzenlenmiştir. Katılım esaslı KF yöntemine yönelik düzenleme ve iş modeli bulunmamaktadır. Paya dayalı KF modeli pay ihraç süreçleri incelendiğinde, Borsa İstanbul’da gerçekleşen halka arz süreçleri ile benzerliklere sahiptir. Türkiye Katılım Bankaları Birliği (TKBB) Danışma Kurulu, katılım finans ilkeleri çerçevesinde, Borsa İstanbul’da gerçekleşen pay senedi ihracı ve alım satımına yönelik usul, esaslar ve rehber belirlenmiştir.
Çalışmamızda, paya dayalı KF süreci, katılım finans ilkeleri çerçevesinde değerlendirilmiştir. TKBB danışma kurulu tarafından belirlenen pay senedi ihracı ve alım satımına yönelik usul ve esaslar dikkate alınarak paya dayalı KF yöntemi için iş modeli önerisinde bulunulacaktır. Paya Dayalı KF’nin katılım finans ilkeleri çerçevesinde düzenlenmesine yönelik çalışmanın literatüre ve ürün çeşitliliğine katkı sağlaması, bundan sonraki araştırmalara yol gösterici olması hedeflenmiştir.
BİR NAKİT KULLANDIRMA YÖNTEMİ OLARAK TEVERRUK: MUHASEBE AÇISINDAN BİR İNCELEME
Authors: Kılınç Yavuz
Published: May 2024

Teverruk genel itibari ile acil ihtiyaç duyulan nakdin elde edilmesi, kredi kartı borçlarının veya daha önceden alınıp da ödemede güçlük yaşanılan borçların yeniden yapılandırması gibi noktalarda tercih edilen ve son yıllarda İslami Finans Kuruluşlarında (İFK) önemli ölçüde başvurulan bir nakit kullandırma yöntemdir. Kullanımının giderek yaygınlaşması nedeniyle bu makalenin konusu teverruk işlem sürecinin gerek İFK’lar gerekse sözleşmeye taraf olan işletmelerin muhasebe defterlerine nasıl işleneceğinin tespit edilmesidir. İFK’lar için standartlar geliştiren AAOIFI’nin teverruk sözleşmelerine yönelik yayımlamış olduğu herhangi bir muhasebe standardı söz konusu değildir. Bu nedenle yapılan incelemelerde teverruk sözleşmelerinin ya bir murabaha sözleşmesi gibi ya da ilgili diğer muhasebe ilkeleri veya standartları dikkate alınarak muhasebeleştirildikleri görülmektedir. Özünde murabaha sözleşmelerinden farklı olması sebebiyle bu sözleşmelerin murabaha olarak değerlendirilip muhasebeleştirilmesi hatalı olacaktır. Bu yüzden bu sözleşmelerin muhasebeleştirilmesinde işlemin temellendirileceği bir faizsiz (katılım) finans muhasebe standardına ihtiyaç duyulmaktadır. Ayrıca her ne kadar yine özüne aykırı olsa da muhasebe standartlarına uygun raporlama yapmak durumunda olan işletmeler tarafından örnek uygulamalar yolu ile bir kredi verme işlemine benzer şekilde ilgili TFRS-9 ve TFRS-5 gibi muhasebe standartları kapsamında ele alınıp muhasebeleştirilebilecekleri sonucuna ulaşılmıştır.
Application of JIT on Materials and Labor Management of Construction Site
Authors: Hossein Seyed Amir , Al Tamimi Adil , Kashwani Ghanim
Published: May 2024

In the Just In Time (JIT) management process, planning should be carried out in a way that provides an optimum fit between the tools, the workers and technical laborers, and the management. Planning should enable all the parties involved to coordinate themselves with the design and production system, based on the understanding that the service and production systems require knowledge to facilitate the implementation of the Just In Time production system. Just In Time production systems are implemented for the purpose of optimizing the production process and creating efficiencies through waste reduction both in terms of materials and processes. In short, the JIT production system is a process that optimizes both products and services in terms of quantity, timing, and materials. Based on the above, the aim of this project is to understand the effectiveness of implementing the JIT production system in the construction sector. The survey method has been implemented to find the site base result. The main hypothesis of this project is, there is a positive relation between JIT and improved construction project efficiency. Research, surveys, and questionnaires were used to assess the independent and dependent variables. Sample of 100 managers, engineers, laborers, and planners in the field was randomly reached and researched. Samples and questionnaires were answered and prepared. The effects of the Just In Time production system in construction were tested using statistical tests including the chi-square test for the presence or absence of a positive relationship. The results of the studies show that there is a significant relation between skills and proficiency and the overall JIT concept for reaching the goal of a more efficient construction site and pattern.
Hubungan Pengetahuan, Sikap Dan Motivasi Dengan Perilaku Mobilisasi Dini Pada Ibu Post Seksio Sesarea Di RSIA ‘Aisyiyah Samarinda
Authors: Hasanah Rahmatin
Published: May 2024

Background: The importance of early mobilization in post-cesarean section mothers, the role of an officer is very necessary to provide explanation and motivation, accompany and guide post-cesarean section mothers to mobilize as early as possible. A preliminary study conducted by researchers on five post-section mothers found the phenomenon of three post-cesarean section mothers claiming to be still afraid to do early mobilization for various reasons, including because they still feel pain and still feel weak to move. Excessive fear of postpartum mothers causes them to experience dependence on health workers in the implementation  of early mobilization Objective: Analyze the relationship of knowledge, attitudes and motivations towards early mobilization behavior in postpartum mothers with SC at RSIA 'Aisyiyah Samarinda. Methodology: This study uses correlational picture method and cross sectional research design, the sample technique with purposive sampling so that 75 respondents are obtained and uses multiple linear regression tests. Results: After analysis, the results were 0.000 smaller than 0.05 α which means that there is a significant relationship between knowledge, attitudes and motivation of mothers towards early mobilization in post-cesarean section mothers at RSIA 'Aisyiyah Samarinda. Benefits: The results of this study are to add insight for postpartum mothers with SC so as not to have concerns about early mobilization which is useful to do after undergoing a cesarean section.
Tujuan studi: menganalisis dihubungan pengetahuan, sikap dan motivasi terhadap perilaku dimobilisasinya secara dini pada ibu yang pasca melahirkan dengan SC di RSIA ’Aisyiyah Samarinda. Metodologi: Penelitian ini menggunakan metode gambaran korelasional dan desainnya penelitian cross sectional, diteknik sampelnnya dengan purposive sampling sehingga diperoleh 75 responden dan menggunakan uji diregresi linier berganda. Hasil: Setelah dianalisis didapatkannya hasil 0,000 lebih kecil dari 0,05 α yang artinya adanya hubungan yang signifikan antara pengetahuan, sikap dan motivasi ibu terhadap mobilisasi dini di pada ibu post seksio sesarea di RSIA ‘Aisyiyah Samarinda. Manfaat: Hasil dipenelitian ini agar menambah wawasan bagi ibu pasca persalinan dengan SC supaya tidak memiliki kekhawatiran mengenai mobilisasi dini yang berguna untuk dilakukan setelah menjalani operasi Caesar.
Analisis Mutu Pelayanan Rawat Inap Rumah Sakit Islam Malahayati Terhadap Pasien Badan Penyelenggaraan Jaminan Sosial (BPJS) Jaminan Kesehatan Nasional (JKN)
Authors: Shifah Sagala Rizqa Auliyah , Vanda Medina Elly , Gurning Fitriani Pramita
Published: May 2024

Rumah Sakit memiliki peran yang sangat penting dalam masyarakat sebagai penyedia layanan kesehatan. Saat mengevaluasi kualitas layanan rumah sakit, kebahagiaan pasien menjadi pertimbangan utama. Penelitian ini bertujuan untuk mengevaluasi pelayanan pasien BPJS rawat inap di Rumah Sakit Islam Malahayati. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan pengumpulan data primer melalui kuesioner dan wawancara kepada keluarga pasien. Hasil penelitian menunjukkan bahwa pelayanan rawat inap yang diberikan oleh Rumah Sakit Islam Malahayati kepada pasien BPJS dinilai baik oleh kerabat pasien. Mayoritas responden menyatakan kepuasan terhadap perlakuan dan interaksi dengan staf medis. Survei dan wawancara dengan pasien juga mengungkapkan bahwa mereka merasakan dukungan dan penghargaan selama menjalani perawatan, mencerminkan kualitas layanan yang diberikan. Temuan ini memberikan gambaran positif tentang pengalaman pasien BPJS dalam mendapatkan perawatan di rumah sakit tersebut. Evaluasi terhadap kebahagiaan pasien menjadi fokus utama dalam menilai kualitas layanan rumah sakit. Hasil penelitian ini dapat menjadi dasar untuk meningkatkan pelayanan kesehatan di Rumah Sakit Islam Malahayati dan memberikan gambaran yang lebih komprehensif tentang pengalaman pasien BPJS dalam sistem kesehatan yang terjangkau.
A New Approach to the Psychological Identification of Mazu Costume Culture
Authors: Liu Lixia , Su Hao , San Juan Felisse Marianne Z.
Published: May 2024

This research delves into the profound significance of Mazu costume culture, a distinctive cultural emblem and societal standard that instigates emotional bonds and fosters a sense of belonging within the Mazu faith community. Utilizing innovative methodologies, we probe into the psychological identification linked to Mazu costume culture. Eye-tracking technology, electroencephalogram (EEG), virtual reality, and social media analysis are harnessed to gauge the emotional dispositions and levels of identification individuals associate with Mazu costumes. The novelty of this paper lies in its methodological approach, intertwining theories and methodologies from psychology, cultural studies, and computational science to provide a comprehensive, multi-faceted investigation into the psychological identification of Mazu costume culture.
Research on the Construction of a Course-based System for College Student Art Groups
Authors: Zhao Zhen
Published: May 2024

This paper employs a case study approach, drawing from the experiences and achievements in curriculum development within the Shanxi Technology and Business College art troupe, to explore methods and strategies for the establishment of a curriculum-based system within college student art troupes. The development of a curriculum-based system for college student art troupes represents a significant initiative for universities to strengthen and enhance aesthetic education. It contributes to the improvement of students' aesthetic awareness and humanistic qualities while fostering well-rounded, highly qualified individuals. As one of the pioneering institutions in implementing curriculum-based art troupe development, the university plays a pivotal role in guiding and exemplifying the construction of curriculum systems within college student art troupes.
Leadership Styles of School Leaders and the Mental Health of Teachers in a university in Beijing, China
Authors: YUE ZHENFANG
Published: May 2024

This study explores the relationship between leadership styles exhibited by school leaders at Beijing University for Business Administration (BUBA) and the mental health of its teaching staff. BUBA, founded in 1994, has been dedicated to providing quality education for over 20 years and has received recognition and support from various sectors. The importance of teacher mental health in the teaching profession is emphasized, as teachers play a multifaceted role beyond imparting knowledge, impacting student outcomes and the overall quality of education. Teacher well-being is closely linked to student learning, and recognizing the mental health challenges teachers face is vital to prevent negative consequences for both educators and students. The research problem seeks to understand the relationship between leadership styles at BUBA and teacher mental health, with objectives that include examining leadership styles, assessing teacher mental health, investigating correlations, identifying contributing factors, and providing recommendations. The research methodology employs a qualitative approach, involving interviews with 10 teachers, to gain in-depth insights. The research findings reveal a diverse range of leadership styles at BUBA, impacting teacher mental health. Collaborative and supportive leadership styles are associated with positive teacher mental health, fostering a conducive work environment. Authoritarian and directive styles, on the other hand, contribute to stress and dissatisfaction among teachers. Factors within leadership styles, such as professional development and recognition, further influence teacher well-being. Recommendations include leadership development, transparent communication channels, and strategies to reduce workload pressures and promote well-being.
FORTALECENDO AS COMPETÊNCIAS SOCIOEMOCIONAIS NA PRIMEIRA INFÂNCIA: UM ENFOQUE NA EDUCAÇÃO INFANTIL
Authors: Costa Matos Suellen Pammela , De Lima Siqueira dos Santos Bruna Carolina
Published: May 2024

O presente artigo tem como objetivo destacar a importância do fortalecimento das competências socioemocionais na primeira infância como um elemento fundamental para promover o desenvolvimento integral na Educação Infantil. Na primeira seção, são abordadas as competências socioemocionais na perspectiva da Base Nacional Comum Curricular e as pesquisas relacionadas ao tema na Educação Infantil. Já na segunda seção, a análise se concentra no trabalho com essas competências em sala de aula, destacando o papel dos professores e dos alunos diante desse novo enfoque na Educação Infantil. Utilizou-se a pesquisa bibliográfica como instrumento para coleta de dados. O artigo nos proporciona pensar sobre o fortalecimento das competências socioemocionais na primeira infância como fator primordial para promover o desenvolvimento integral desde a primeira infância.
AI Based Soybean Crop Disease Detection
Authors:   JAYWANT COLLEGE OF ENGINEERING AND POLYTECHNIC ,  KILLEMACHINDRAGAD,SANGLI, kadam Sanika
Published: May 2024

Plant disease affect the growth of crop. Therfore, the earlier identification of disease is very important. This study is based on the use of machine learning in Image processing for the classification of various soybean leaf diseases. This study has proposed a optimized Convolutional Neural Network (CNN)-based technique for soybean leaf classification and detection. CNN is used in back word propagation for training the algorithm in order to improve accuracy and the overall system produces better results with higher accuracy. This research employs a standard data set of soybean leaves as well as real time data collection. ML methods can be applied to detect plant diseases, prior to the full appearance of symptoms. Plant pathologists desire an accurate and reliable soybean plant disease detection system. In this study, we propose an efficient soybean diseases identification method based on a transfer learning approach by using pretrained AlexNet and GoogleNet convolutional neural networks (CNNs). The proposed AlexNet and GoogleNet CNNs were trained using 649 and 550 image samples of diseased and healthy soybean leaves, respectively, to identify three soybean diseases. We used the five-fold cross-validation strategy. The proposed AlexNet and GoogleNet CNN-based models achieved an accuracy of 98.75% and 96.25%, respectively. This accuracy was considerably higher than that for conventional pattern recognition techniques. The experimental results for the identification of soybean diseases indicated that the proposed model achieved highest efficiency. Keywords: Plant Disease, Deep Learning, Convolutional neural network.
Examination and Chemical Analysis by GC-MS of Syzygium Cumini Extract(Bark)
Authors:   Department of chemistry, Singhania University, Jhunjhunu, Rajasthan, Tiwari Sarita
Published: May 2024

The investigation focused on the analysis of the hexane extract obtained from the bark of Syzygium cumini originating from India. Through chromatographic techniques, both traditional column chromatography and gas chromatography mass spectrometry (GC-MS), the oily fraction of the bark was examined, leading to the identification of numerous ester and hydrocarbon compounds. While the initial hexane eluate yielded waxy substances, which were challenging to separate through column chromatography due to their limited quantity, GC-MS analysis facilitated the identification of 39 compounds. These compounds were matched with existing literature through comparisons of retention times, Kovats indexes, and interpretation of mass spectra. Many of these identified compounds find applications across industries such as perfumery, flavoring, deodorants, antiseptics, and pharmaceuticals. This study aimed to elucidate the chemical composition of the hexane extract from S. cumini bark, particularly focusing on the identification of hydrocarbons and esters. Key words: Syzygium cumini (bark), esters, hydrocarbons, signals, peak gas chromatography -mass spectrometry
Classify hypochondriac Situations Using Medication Reviews
Authors:   Dept. of Software Engineering, Delhi Technological university , Delhi, India, Jha Sharda Nand
Published: May 2024

Among the most crucial concerns facing society is healthcare for humans. It looks for the most accurate diagnostic and comprehensive illness in order to guarantee that patients get the care they need as soon as feasible. Because this recognition is often difficult, additional fields are needed for the health-related component of searching, such as computer science and statistics[3]. To adopt novel approaches, these disciplines need to go beyond the conventional ones. Since there are so many novel approaches, it is feasible to provide an overview without going into specifics. To this end, we suggest a comprehensive analysis of illnesses associated with machine learning in humans. This research focuses on current methods related to machine learning growth applied to the diagnosis of human illnesses in the medical business in order to identify intriguing trends, generate insignificant forecasts, and support decision-making[1]. This study explores unique machine learning techniques used in healthcare applications to generate appropriate decision support[4], [5]. This work aims to close the research gap by creating a workable decision support system for medical applications. Key Words: Human disease, Machine learning, Neural Networks.
CLOUD-BASED DATA INTRUSION DETECTION SYSTEM USING ML TECHNIQUES
Authors:   GNDEC, Bidar, Karnataka, INDIA, Mulge Manikrao
Published: May 2024

Cloud computing (CC) stands as a groundbreaking technology, streamlining access to network and computer resources while offering a plethora of services, such as storage and data management, all with the aim of optimizing system functionality. Despite its array of advantages, cloud providers grapple with notable security challenges, particularly concerning the safeguarding of resources and services. Addressing these concerns and bolstering security measures necessitates vigilant monitoring of resources, services, and networks to promptly detect and respond to potential attacks. Central to this effort is the implementation of an advanced mechanism known as an intrusion detection system (IDS), which plays a pivotal role in regulating network traffic and identifying anomalous activities. This paper introduces an innovative cloud-based intrusion detection model that harnesses the power of the random forest (RF) algorithm alongside cutting-edge feature engineering techniques. Specifically, the integration of the RF classifier aims to enhance the accuracy (ACC) of the detection model significantly. The efficacy of the proposed model is rigorously evaluated using the NSL-KDD dataset, demonstrating a remarkable 99.99% ACC. This performance surpasses that of existing methodologies, underscoring the effectiveness and robustness of the proposed approach in addressing security challenges within cloud environments. Keywords —Accuracy, Anomaly detection, Cloud security, Feature Engineering, Intrusion Detection System (IDS), Random forest (RF)
Greenwashing in India: A Study of Fault-Lines
Authors:   Department of Commerce and Business Administration  University Of Allahabad., Verma Dr. Ekta
Published: May 2024

Objective – The paper aims to investigate the factors that drive greenwashing in India. It explains how various factors are responsible for the ever-increasing threat of greenwashing. Methodology – To achieve the purpose of the paper, a critical study of various research papers was conducted. A descriptive research methodology was adopted to achieve the objectives of this paper. Findings – The reasons for greenwashing in India are many. The main findings of this paper include the profit motive, information asymmetry, the race to achieve a competitive advantage, lack of government regulations etc. The findings are not exhaustive, and there is still scope for the inclusion of factors that may have been missed due to avoidable reasons. Key Words: Greenwashing, Advertisement, Green marketing, Government regulations, CSR
SKIN DISEASE DETECTION AND CLASSIFICATION USING DEEP LEARNING ALGORITHMS
Authors:   Guru Nanak Dev Engineering College, Bidar, Department Of Computer Science & Engineering, Mulge Prof Manikrao
Published: May 2024

Human health is more important than other diseases. Skin infections are usually caused by fungal infections, bacteria, allergies or viruses. Medical equipment for such diagnoses is limited and expensive. Therefore, deep learning techniques help detect skin diseases in their early stages. Feature extraction plays an important role in classifying skin lesions. Using deep learning reduces the need for human labor such as manual extraction and data reconstruction for classification purposes.
DIGITAL BOUNCER
Authors:   Babu Banarasi Das Northern India Institute of  Technology , Lucknow , Uttar Pradesh , India, Askari Mohd Ali
Published: May 2024

Digital Bouncer presents an innovative solution, amalgamating an integrated platform for streamlined mass messaging and e-commerce capabilities. This comprehensive platform empowers users with efficient message dissemination to diverse audiences, comprising two pivotal components: a feature-rich e-commerce website and specialized software for message/email dissemination. The user-friendly website interface facilitates tailored messaging preferences and seamless product purchases. Key features include "Number Harbour," facilitating access to a large volume of numbers pertinent to specific location-based requirements following with dissemination of message according to user preference. Additionally, the integration of Telegram Automator and WhatsApp Automator software enriches communication avenues. Furthermore, the provision of a secure payment gateway enables hassle-free transactions, elevating Digital Bouncer as an all-encompassing solution catering to large-scale communication and e-commerce needs. Index Terms - Integrated Platform, Mass Messaging, E-commerce, User Empowerment, Tailored Messaging, Product Purchases, Number Harbour , Automatic Replies, Telegram Automator, WhatsApp Automator, Payment Gateway, Secure Transactions.
Impact of Covid 19 on Employment in India
Authors:   DELHI TECHNOLOGICAL UNIVERSITY Delhi, India, KUMAR SHUBHAM
Published: May 2024

The COVID-19 pandemic severely impacted India's employment, causing a surge in unemployment. We surveyed various sectors and analyzed Twitter sentiments to understand the pandemic's effects on jobs and salaries, aiming to gain insights into individuals' prevailing mindsets during this crisis. Keywords—employment, surge in unemployment, twitter sentiments
Hate Speech Detection
Authors:   Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bangalore, India, 560074, Nikhil, Navneet
Published: May 2024

The massive expansion of social networking websites has made it easier for people with various cultural and psychological backgrounds to communicate directly with one another. It has led to an increase in online conflicts between them. This paper proposes an approach to detect hate speech. A publicly available dataset of tweets in language is used. Data preprocessing includes the removal of stopwords , punctuations , emojis , numbers , URLs etc. and feature extraction is carried out using tokenization , lemmatization and POS tagging. The performances of XGBoost, Random Forest , Logistic Regression and SVM have been compared in this study for the detection of hate speech. XGBoost classifier provided highest accuracy of 74.93%. Keywords: Hate speech, Hate tweets, Machine learning.
Analysis and Design of Flexible Pavement and Cost Comparison with Cement-Treated Base and Subbase Material
Authors:   Department of Civil Engineering  Sanketika Institute of Technology and Management, Vishakhapatnam, PK Rabeesh Kumar
Published: May 2024

Road transport is important in economic, social; and a country’s overall development. Various commercial vehicle classes have utilized roads with different axle configurations and loads. Due to the cumulative effect of wheel loads and the aging of bitumen binder flexible pavement starts deteriorating. The bitumen pavement failure is mainly due to fatigue cracking as well as rutting deformation. Thus, proper load analysis for the intended period of pavement planned life needs to be analyzed and the pavement designed accordingly. The development of software such as IITPAVE enables the calculation of stress and strain values at required points across various pavement layers. The project's goal is to gather traffic data as well as soil CBR values from the field to design a flexible pavement following IRC: 37-2018 guidelines. The pavement would be analyzed using IITPAVE Software to obtain the actual strains at required critical points. Pavement design is influenced by factors such as properties of subgrade soil, wheel load, climatic conditions, and pavement materials. Pavements are built according to IRC guidelines and MORTH specifications. Excessive strain along with the deformation at the critical locations in pavement are the primary causes of bitumen pavement failure. This research aims to design a flexible pavement and compare the cost of traditional pavement layer composition with cement-treated base as well as sub-base materials. Keywords: Flexible Pavement, Cement treated base (CTB) and Subbase (CTSB), Cost Comparison.
Electricity Generation Using Hybrid Power
Authors:   AISSMS Institute of Information Technology  Pune., Darvade, Rutuja
Published: May 2024

The project's objective is to design a wind turbine to recapture wind energy from vehicles on the highway. Wind energy is considered the fastest-growing clean energy source however; it is limited by variable natural wind. Highways can provide a considerable amount of wind to drive a turbine due to high vehicle traffic. This kinetic Energy is unused. Research on wind patterns was used to determine the average wind velocity created by oncoming vehicles. The wind turbines are designed to be placed on the medians therefore fluid flow from both sides of the highway will be considered in the design. Using all of the collected data, existing streetlights on the medians can be fitted with these wind turbines. The design of the turbines consists of blades, collars, bearings, a shaft, gears, and a generator. Additionally, since the wind source will fluctuate, a storage system for the power generated was designed to distribute and maintain a constant power source. Ideally, the turbine can be used globally as an unlimited power source for streetlights and other public amenities. Keywords: wind energy, high vehicle traffic, turbines, blades, collars, bearings, etc.
LINE FAULT DETECTION AND ALERTING SYSTEM
Authors:   Department of EEE & Vidya Vikas institute of engineering and technology, S Balaji
Published: May 2024

In the present time scenario, where we use cables and optical fibers for data transmission along with power transmission, locating the flaws and faults in the transmission lines has become a necessity. Transmission lines are among the essential fragments of power systems. Being exposed to climatic fluctuations makes them the most vulnerable fragment. There may be numerous reasons that originate faults in the lines, such as temperature escalation, lightning strokes, even drizzles and fog because insulated carriers to wear out mechanically. It is indispensable to locate the fault point to restore the power at the earliest. Excellence in power delivery is achieved only if the time enforced in determining the flaw point in the line is limited. Accordingly, an authentic access is essential to figure out the literal location of the fault in the transmission line. This project introduces an accurate and adequate approach for determining the location of the line fault. It illustrates how the use of Telegram and GPS along with Xtensa LX7 can relatively reduce the human labor and increase the accuracy whilst downsizing the obligatory time.