bluuebunny/crossref_metadata_2025 huggingface dataset:
Microbiological Analysis of Household Water Tanks in Egypt
Authors: Abdulbaqi Amal A , Alhejely Amani , Radwan Omaymah
Published: September 2024

The world faces a significant challenge in meeting freshwater demands due to the limited availability of fresh and pure water. This study investigated the microbial quality of domestic water tanks in Cairo, Egypt, to assess the possible health effects of stored water. Water samples were obtained from the household tanks at Azhar University and analyzed for bacterial content using membrane filtration and serial dilution techniques. The differences observed in the microbial plate counts showed a variation across seasons and temperatures, and the total plate counts were noted in the winter and the summer water samples at 35°C and 22°C, respectively. Some samples had low microbial counts, while others had higher ones, which could imply contamination. Faecal and total coliform concentrations were relatively low and, in some cases, within the range of the WHO requirements. The study emphasizes the importance of microbial quality sampling in water samples, as some samples may pose health hazards. It suggests improved standards in cleaning water tanks to ensure safe drinking water. Proper water treatment and risk checks can help eliminate potential health risks and provide a secure water supply. Clean water is crucial for human health and sustainable development, and ensuring adequate and safe water is essential for consumption.
Positive Outcomes of Ozone and NAD Therapy in Infertility Treatment: A Retrospective Observational Case Series
Authors: Fakih Michael , Akhtar Muhammad , Fawaz Mouna
Published: September 2024

This retrospective observational case series aims to delineate the positive effects of ozone and NAD therapy on patients dealing with infertility. Conducted at First IVF Fertility Centre, the study examined six female patients who had previously experienced multiple IVF failures. We meticulously analyzed these cases, noting remarkable improvements following the integration of alternative therapeutic modalities, particularly ozone therapy, into their treatment regimens. Each of the six cases demonstrated a discernible positive outcome, characterized by the acquisition of euploid, transferable embryos or successful pregnancies. The findings suggest that the integration of ozone and NAD therapy can significantly benefit patients dealing with infertility. To comprehensively ascertain the impact of these alternative therapies, a rigorous evaluation, such as a randomized pilot study, is recommended. This empirical approach would empower patients and healthcare providers to make well-informed decisions regarding the potential benefits and associated risks of these innovative treatment avenues, fostering a proactive and collaborative approach to fertility care and ultimately enhancing patient outcomes.
Technologies for early detection and monitoring of new and emerging pathogens : safeguarding urban and forest trees
Authors: Nordström Ida
Published: September 2024

Forests and urban trees face growing threats from pathogens, both alien and native, and historical examples have proven invasive forest pathogens capable of reshaping entire ecosystems. Climate change exacerbates the problem by favoring pathogen growth and predisposing trees to infection. The galloping rates at which forest pathogen outbreaks are occurring needs to be addressed, but there is a lack of appropriate detection tools that can be implemented into biosurveillance infrastructures to mitigate these issues. This thesis aimed to acquire new knowledge and improve the applicability of a new generation of detection tools, focusing on analysis of volatile organic compounds for pathogens relevant for Sweden (Fusarium circinatum and Phytophthora), and high-throughput DNA sequencing of pine needle fungi. In this thesis, volatile analysis could distinguish between species of Fusarium and Phytophthora in vitro. In vivo studies showed that quantitative volatile comparisons can distinguish between Fusarium circinatum-inoculated pine trees and mock-inoculated controls, and that beech and oak trees infected with Phytophthora cinnamomi or Phytophthora plurivora produced volatiles that were qualitatively distinct from controls, though volatiles emitted by the pathogens grown in vitro were not detected in vivo. Pine needle associated mycobiomes were compared using Illumina and nanopore sequencing technologies which revealed that nanopore identified a larger proportion of the taxa to the species level, while Illumina captured higher species diversity. Both platforms successfully identified pathogenic species in asymptomatic needles, illustrating their capacity for early detection. This work underscores the potential of implementing already available technologies for improving the biosecurity infrastructures for safeguarding future forest health.
Understanding chemical mixtures in Swedish adolescents : an epidemiological investigation into exposure, sociodemographic determinants and immune-health effects
Authors: Pineda Sebastian
Published: September 2024

The world's human population is ubiquitously exposed to a complex mixture of chemicals. This thesis aims to analyse adolescent exposure in Sweden to a complex chemical mixture, including essential and non-essential elements, persistent organic pollutants (POPs), phthalates/phthalate alternatives, phosphorous flame retardants, and phenolic compounds. The research also investigated potential associations between this chemical mixture exposure and adolescent vaccination antibody titres of diphtheria, tetanus, pertussis, measles, and rubella. The study population (N=1082), Riksmaten Adolescents 2016-17 (RMA), were found to have similar chemical exposure levels as adolescents from Germany, Belgium, and the USA. Large population exceedances of biomonitoring guidance values were identified for lead, aluminium and per- and poly-fluoroalkyl substances. A conservative mixture risk assessment indicated that the effects of some of the investigated chemicals on the central nervous system may be a health concern. The level of mixture exposure varied based on factors such as age, gender, country of birth, parental education level, and longitude/latitude of the participant’s home address. Birth country was identified as the most influential determinant. Mixture exposure to elements and POPs was linked to decreased diphtheria, tetanus and pertussis antibody titres whilst the opposite was observed for measles and rubella antibody titres. However, the observed associations were weak and uncertain. This study revealed disparities in mixture exposure among Swedish adolescents born in different countries as well as gender and regional exposure differences. Addressing these disparities in mixture exposure is essential to achieve the United Nations sustainability goals of equality within and between countries and gender equality.
Assessing the potential of environmental DNA for quantitative monitoring of northern pike (Esox lucius) populations
Authors: Karlsson Erik
Published: September 2024

Environmental DNA (eDNA) has emerged as a useful tool for species detection and assessment of biodiversity and hold promise for quantitative estimates. This development is of particular interest for species such as northern pike (Esox lucius), an ecologically and socio-economically important apex predator in freshwater and coastal ecosystems, for which suitable monitoring techniques is lacking due to low catchability with traditional monitoring methods. In this thesis I explore the potential of eDNA to enhance the understanding of pike ecology and provide reliable data on abundance needed for informed management decisions. Relationships between eDNA and biomass of pike were first established under controlled conditions, revealing strong positive linear relationships between eDNA and biomass of juvenile and adult pike. Subsequent field experiments investigating eDNA relationship with pike further found that abundance of pike together with temperature and size of sampled area could explain considerable variation in eDNA concentrations. The temporal eDNA dynamics of spawning run was investigated in an additional field study, demonstrating strong positive linear relationship between eDNA levels and amount and biomass of migrating pike and eDNA levels. Furthermore, I evaluated eDNA methodologies and developed a genetic marker targeting highly repetitive nuclear DNA, providing a stronger eDNA signal compared to mitochondrial assay. The results from this thesis provide important knowledge and advances towards achieving quantitative estimates of fish populations through eDNA-based monitoring. In addition, the method developments achieved within the thesis through improved sensitivity of eDNA assays enhances detection accuracy of aquatic species. Together, the findings of this thesis will have significant implications for conservation and management of aquatic ecosystems.
Tetovált Kígyó halála : Natchez temetési emberáldozat a 18. századi Louisiane-ból Forrásközlés történeti bevezetéssel
Authors: Vassányi Miklós , Suszta Laura
Published: September 2024

Az emberáldozat egyszerre a legtaszítóbb és legérdekesebb vallási-kulturális jelenség, mely archaikus kultúrák sokaságában volt jelen – így egyes prekolumbiánus kultúrákban Mexikótól északra is (például az illinois-beli Cahokiában [Emerson et al. 2016; Pauketat 2010] és a mississippi-beli Natchez-ben), magában Mexikóban az azték kultúrkörben (González 1985; Batalla Rosado–Rojas 2008; Díaz Barriga Cuevas 2012; Smith 2003, 215–231; Vassányi 2016, 151–186), Peruban például a chimú (Romey 2019) és az inka kultúrában (lásd alább). Gyakorlásának éppen ezért kellett, hogy legyen valamilyen archaikus-racionalizáló magyarázata. A vallásantropológia feladata ezt keresni a korai források bemutatásával, történeti-kulturális kontextusba helyezésével és elemzésével. Jelen közleményünkben az észak-amerikai Natchez nemzet körében valaha gyakorolt emberáldozat egy jelentős, felderítés-kori írott forrását szeretnénk bemutatni, az emberáldozat kérdése szempontjából legfontosabb fejezet magyar fordításának közlésével, történeti kontextusának felvázolásával. Választásunk azért esett erre a fejezetre, mert ez tartalmazza a rítus részletes leírását, a leggazdagabb antropológiai adatokat. Célunk a fordítás és az azt bevezető tanulmány közreadásával bemutatni azt az archaikus prekolumbiánus mentalitást, amelyik törzsi vezető halála esetén természetesnek látta az emberáldozat bemutatását, valamint rákérdezni az emberáldozat lehetséges magyarázataira. Bevezető tanulmányunk a történeti és kulturális körülményeket ismerteti, ami elengedhetetlen a forrásszöveg értelmezéséhez. Kutatásunk forrásai nyomtatásban megjelent szövegek, melyeket internetes kereséssel derítettünk fel, és mindenütt a legelső, illetve a legjobb kiadásokat használtuk.
A falu, ahol nem tudták végrehajtani a kollektivizálást
Authors: Ágoston-Szűcs Brigitta
Published: September 2024

Nagy Ákos: Gazdasági és társadalmi változások egy nem kollektivizált marosszéki faluban. Kolozsvár: Kriza János Néprajzi Társaság, 2022. 181 p.
REVISÃO DE LITERATURA SOBRE A UTILIZAÇÃO DAS REDES SOCIAIS NO ENSINO EM SAÚDE
Authors: Vilela Daisy de Araújo , Moraes Leizer Fernandes
Published: September 2024

O objetivo geral deste estudo foi identificar e analisar estudos primários sobre a utilização de plataformas de redes sociais na educação em saúde no nível superior. Para alcançar esse objetivo, realizamos uma revisão integrativa da literatura, utilizando o Portal de Periódicos CAPES como fonte principal. A aplicação do protocolo PRISMA adaptado nos permitiu estruturar a busca e a seleção dos artigos de maneira sistemática e rigorosa. Ao longo do processo, identificamos 13 artigos relevantes que abordam a utilização das redes sociais no ensino em saúde. A análise desses estudos revelou várias tendências e práticas inovadoras que estão sendo implementadas nas instituições de ensino superior. Os resultados indicam que, quando utilizadas de forma adequada, as redes sociais podem facilitar a interação entre alunos e docentes, promover a troca de conhecimentos e experiências, e estimular o engajamento dos estudantes no processo de aprendizagem. Os estudos apontam para a importância da capacitação dos docentes no uso dessas ferramentas, destacando que a formação contínua e o suporte técnico são essenciais para que eles se sintam confiantes em integrar as redes sociais ao seu ensino.A pesquisa confirma que as plataformas de redes sociais têm um potencial significativo para enriquecer a educação em saúde no nível superior, sendo fundamental que as instituições de ensino invistam em formação e suporte para os docentes, permitindo que eles possam explorar essas ferramentas de maneira eficaz e inovadora.
PERAN DAN POLA ASUH ORANG TUA PADA ERA MODERN: NAVIGATOR DUNIA ONLINE
Authors: Ramadhani Tiara , Nayezta Amanda , Putri Eka Meilanita , Monika Icha
Published: September 2024

Di era digital saat ini, game online telah menjadi bagian integral dari kehidupan anak-anak. Artikel ini membahas peran penting orang tua dalam membimbing anak-anak dalam penggunaan game online. Dengan mengidentifikasi manfaat potensial, seperti peningkatan keterampilan kognitif dan sosial, serta mengelola risiko yang terkait, termasuk kecanduan dan paparan konten tidak pantas, orang tua dapat menciptakan lingkungan bermain yang sehat dan seimbang. Tips praktis bagi orang tua juga disertakan untuk membantu mereka membuat keputusan yang bijaksana, memastikan anak-anak dapat menikmati manfaat game online sambil meminimalkan dampak negatifnya.
Iniciativas de promoción de la carrera de medicina en la Universidad Nacional de Río Negro-Sede Andina
Authors: Bellotti Mariela
Published: September 2024

La Responsabilidad Social es un tema que ha sido ampliamente debatido en los últimos años en los claustros universitarios cobrando gran importancia, por ello en este trabajo se relatar las acciones situadas que la carrera de Medicina de la Universidad Nacional de Río Negro (UNRN)- Sede Andina lleva a cabo, desde la visión y acción del equipo de ingreso de dicha carrera. La investigación desarrollada es de carácter descriptiva, de tipo no experimental, con diseño de campo; las técnicas de recolección de la información fueron el registro de actividades, utilizando aspectos de la etnografía. Los resultados obtenidos muestran que se incrementaron las actividades de difusión posibilitando una mayor inclusión de estudiantes, en correspondencia con las necesidades y exigencias del contexto. Entendiendo la responsabilidad de las universidades en general y de la carrera de medicina en partícula es que se deben agudizar las acciones relacionadas con la responsabilidad social, fomentando la realización de mayor cantidad de acciones concretas de difusión de la carrera y diversificando las maneras de llevarlas a cabo.
El objetivo de este trabajo es presentar las iniciativas llevadas a cabo por el equipo de ingreso de la carrera de Medicina de la UNRN -Sede Andina, enfocándose en las acciones implementadas en los últimos años para promover la carrera en la región. Estasiniciativas tienen como propósito mejorar el acceso a la información para los potenciales estudiantes universitarios, facilitando así su ingreso a la UNRN.
Gây mê cho phẫu thuật Miles nội soi trên bệnh nhân cao tuổi rung nhĩ cao huyết áp giãn tĩnh mạch chi dưới
Authors: Ngô Xuân Tý , Nguyễn Ngọc Thạch , Nguyễn Văn Quỳnh
Published: September 2024

Gây mê cho bệnh nhân tim mạch phẫu thuật ngoài tim ở bệnh nhân cao tuổi nhiều bệnh lý nền là một vấn đề thách thức với bác sĩ gây mê vì bệnh nhân có nhiều thay đổi về sinh lý, dược động học của thuốc cũng như tỉ lệ tai biến tim mạch cao. Chúng tôi thông báo ca lâm sàng bệnh nhân nam, 71 tuổi, ung thư trực tràng 1/3 dưới, cao huyết áp, rung nhĩ, giãn tĩnh mạch chi dưới. Bệnh nhân được gây mê nội khí quản phẫu thuật Miles nội soi, sau phẫu thuật về khoa hồi sức ngoại điều trị và ra viện sau 5 ngày phẫu thuật.
Đánh giá kết quả sử dụng vạt da hai cuống tự do vùng lưng điều trị sẹo di chứng bỏng rộng vùng cổ - mặt
Authors: Đỗ Trung Quyết , Hoàng Thanh Tuấn , Tống Thanh Hải , Vũ Quang Vinh
Published: September 2024

Giới thiệu: Sẹo di chứng bỏng vùng cổ mặt, đặc biệt là các trường hợp sẹo rộng luôn đặt ra các tiêu chuẩn tái tạo rất cao khi sử dụng các phương án tạo hình khác nhau. Các phương pháp tạo hình kinh điển như ghép da, vạt tại chỗ, phương pháp giãn tổ chức… đều thể hiện các nhược điểm khi tạo hình loại tổn thương này. Đối với các tổn thương rộng vùng cổ mặt, vạt da tự do hai cuống vùng lưng luôn là một lựa chọn hàng đầu trong tái tạo nhằm khôi phục cả chức năng và thẩm mỹ cho người bệnh.Đối tượng và phương pháp nghiên cứu: 15 bệnh nhân, 10 nữ và 5 nam, tuổi từ 12 đến 61, điều trị tại Trung tâm Phẫu thuật Tạo hình, thẩm mỹ và Tái tạo (Bệnh viện Bỏng Quốc gia Lê Hữu Trác) từ tháng 08/2019 đến tháng 8/2024 với chẩn đoán sẹo bỏng rộng, co kéo vùng mặt cổ. Thiết kế ở vùng lưng 09 vạt hai cuống nhánh xuyên động mạch mũ vai và động mạch liên sườn sau đối bên, 03 vạt hai cuống nhánh xuyên động mạch mũ vai và động mạch liên sườn sau cùng bên, 03 vạt hai cuống tự do hai nhánh xuyên động mạch liên sườn sau. Bó mạch nhận là bó mạch mặt và/ hoặc bó mạch thái dương nông. Vùng vạt giữa hai cuống được làm mỏng. Vạt được chuyển tới vùng mặt cổ và nối mạch máu che phủ tổn thương, vùng cho vạt được khâu kín một phần và ghép da mỏng tự thânKết quả: 13 vạt sống hoàn toàn, 02 vạt bị hoại tử một phần ở đầu xa (chiều dài vùng hoại tử dưới 5cm). Vùng cho vạt được ghép da trung bình che phủ. Chiều dài tối đa đạt được là 36cm, chiều rộng tối đa là 19cm. Bệnh nhân đạt được yêu cầu về chức năng và thẩm mỹ.Kết luận: Vạt da hai cuống tự do vùng lưng là lựa chọn hàng đầu trong tái tạo tổn khuyết rộng vùng mặt cổ do di chứng bỏng bởi tính linh hoạt và độ tin cậy trong thiết kế và sử dụng.
Nghiên cứu mối liên quan giữa đặc điểm nhóm máu hệ ABO với kết quả điều trị ở bệnh nhân bỏng người lớn
Authors: Hoàng Văn Tú , Nguyễn Hồng Thái , Nguyễn Thị Vân Anh , Lưu Thị Tình , Đỗ Quang Hiếu
Published: September 2024

Mục tiêu: Nghiên cứu mối liên hệ giữa đặc điểm nhóm máu hệ ABO đối với kết quả điều trị bệnh nhân bỏng người lớn.Đối tượng và phương pháp nghiên cứu: Nghiên cứu hồi cứu trên 664 bệnh nhân bỏng người lớn có diện tích bỏng từ 20% diện tích cơ thể trở lên, vào Bệnh viện Bỏng Bỏng Quốc gia lê Hữu Trác điều trị từ tháng 01/2021 - 6/2023.Kết quả: Tuổi trung bình bệnh nhân nghiên cứu là 42,2 tuổi. Tác nhân bỏng chủ yếu là nhiệt khô chiếm 67,2%. Diện tích bỏng chung trung bình là 42,5%, diện tích bỏng sâu trung bình là 15,9%. Ngày nằm viện khỏi trung bình là 34,07 ngày. Tỷ lệ bệnh nhân tử vong ở từng nhóm máu khác biệt có ý nghĩa thống kê (p < 0,05). Nhóm máu B là yếu tố làm tăng nguy cơ tử vong ở bệnh nhân (BN) bỏng người lớn (OR= 1,598; p = 0,04, 95%CI từ 1,022 đến 2,500).Kết luận: Người lớn nhóm máu B có nguy cơ tử vong cao hơn khi bị bỏng nặng so với các nhóm máu khác.
Nhận xét một số đặc điểm sẹo lồi tại Bệnh viện Bỏng Quốc gia Lê Hữu Trác
Authors: Phan Thị Thục Trang , Trần Vân Anh , Nguyễn Đoàn Tiến Linh , Nguyễn Tuấn Anh , Nguyễn Hồng Thái
Published: September 2024

Mục tiêu: Nhận xét một số đặc điểm dịch tễ học và lâm sàng các bệnh nhân sẹo lồi.Đối tượng và phương pháp nghiên cứu: Nghiên cứu hồi cứu, thống kê mô tả dựa trên 60 bệnh án của bệnh nhân được được chẩn đoán và điều trị sẹo lồi tại Trung tâm phẫu thuật tạo hình, Bệnh viện Bỏng quốc gia Lê Hữu Trác trong thời gian từ tháng 12/2021 đến tháng 3/2024 về các yếu tố liên quan đặc điểm dịch tễ học, hình thái sẹo lồi và các phương pháp đã được điều trị. Kết quả: Trong tổng số 60 bệnh nhân, nữ chiếm tỷ lệ ( 61,7%), nam (38,3%) độ tuổi thường gặp từ 14 - 30 tuổi (63,3%), nguyên nhân tiên phát gây sẹo chủ yếu từ mụn trứng cá (41,7%). Bệnh nhân có bệnh lý tăng huyết áp kèm theo chiếm 6,7%. Tỷ lệ có người cùng huyết thống bị sẹo lồi là 8,3%. Vị trí sẹo xuất hiện chủ yếu ở vùng ngực (43,3%), lưng vai (28,3%). Số lượng bệnh nhân có từ 2 sẹo lồi trở lên và các sẹo lồi diện rộng chiếm tỷ lệ cao (63,3%) kèm tình trạng viêm loét trên nền sẹo (13,3%). Phương pháp đã được điều trị sẹo lồi chủ yếu là thuốc bôi tại chỗ, tiêm, laser, áp ni - tơ lạnh, phẫu thuật.Kết luận: Kết quả nghiên cứu cho thấy sự hình thành và phát triển sẹo lồi bị tác động bởi nhiều yếu tố toàn thân và tại chỗ. Nghiên cứu trên cỡ mẫu còn hạn chế nên cần thêm những nghiên cứu trên quy mô lớn hơn để đưa ra được đặc điểm sẹo lồi tại Việt Nam, từ đó đề xuất có các biện pháp dự phòng và điều trị phù hợp.
Bước đầu đánh giá giá trị tiên lượng của IL-6 và sST2 với biến chứng ở bệnh nhân bỏng hô hấp
Authors: Nguyễn Thái Ngọc Minh , Trần Đình Hùng , Nguyễn Như Lâm , Lê Quang Thảo
Published: September 2024

Mục tiêu: Bước đầu đánh giá nồng độ và giá trị tiên lượng của IL-6 và sST2 trong máu, dịch phế quản đối với các biến chứng nhiễm khuẩn và kết quả điều trị ở bệnh nhân bỏng hô hấp. Đối tượng và phương pháp nghiên cứu: Nghiên cứu tiến cứu mô tả trên 20 bệnh nhân bỏng lứa tuổi trưởng thành có tổn thương bỏng đường hô hấp kết hợp, nhập viện trong 48 giờ từ khi bị bỏng. Bệnh nhân điều trị tại Khoa Hồi sức cấp cứu - Bệnh viện Bỏng Quốc gia Lê Hữu Trác từ tháng 08/2022 đến tháng 8/2023.Kết quả: Các bệnh nhân nghiên cứu có đặc điểm độ tuổi trung vị là 37 tuổi, trong đó nam giới chiếm đa số là 80%, diện tích bỏng rộng trung vị 74,5% và bỏng sâu 41,5%. Mức độ bỏng hô hấp chủ yếu độ 1 (40%), độ 2 (50%) chỉ có 2 bệnh nhân bỏng hô hấp độ 3 (10%). Tỷ lệ tử vong của bệnh nhân nghiên cứu là 65%. Biến chứng viêm phổi là 75% và ở nồng độ IL-6 dịch phế quản ngày thứ 7 là 212,47pg/ml có ý nghĩa tiên lượng nguy cơ viêm phổi (p < 0,05). Biến chứng nhiễm khuẩn huyết là 25% thấy rằng IL-6 huyết thanh ngày thứ 7 nồng độ 316,03 pg/ml, IL-6 dịch phế quản khi nhập viện nồng độ 133,32 pg/ml và sST2 dịch phế quản khi nhập viện nồng độ 1,06ng/ml có giá trị tiên lượng nguy cơ nhiễm khuẩn huyết (p < 0,05). Nồng độ IL-6 huyết thanh trong cả 2 lần là 138,29 pg/ml và 313,47 pg/ml đều có ý nghĩa tiên lượng nguy cơ tử vong (p < 0,05). Kết luận: Các xét nghiệm định lượng nồng độ IL-6 và sST2 có giá trị trong tiên lượng nguy cơ biến chứng viêm phổi, nhiễm khuẩn huyết và tiên lượng tử vong ở bệnh nhân bỏng hô hấp tại thời điểm đầu nhập viện và ngày thứ 7 sau bỏng.
Huyết khối tĩnh mạch sâu chi dưới trên bệnh nhân bỏng nặng
Authors: Nguyễn Thị Hương , Nguyễn Hải An , Hồ Thị Vân Anh
Published: September 2024

Huyết khối tĩnh mạch sâu (HKTMS) là bệnh lý liên quan với sự phát triển của cục máu đông trong tĩnh mạch sâu, thường xảy ra ở chi dưới. Cơ chế hình thành HKTMS là do sự phối hợp của 3 yếu tố (gọi là tam giác Virchow): Ứ trệ tuần hoàn tĩnh mạch, rối loạn quá trình đông máu gây tăng đông, và tổn thương thành mạch. Cả 3 rối loạn này thường xuất hiện trên bệnh nhân bỏng nặng. Tăng đông do rối loạn các yếu tố đông máu. Ứ trệ tuần hoàn do bất động kéo dài. Tổn thương tế bào nội mạc mạch máu do đáp ứng viêm hệ thống và thủ thuật đặt catheter tĩnh mạch trung tâm [2, 4].Chúng tôi thông báo trường hợp bỏng lửa diện tích 51 % diện tích cơ thể, biến chứng huyết khối tĩnh mạch sâu ngày thứ 52.
Twitter Sentiment Analysing Using AI
Authors:   Department of Computer Applications, Nehru College of Management,  Coimbatore, TamilNadu, India, Sengaliappan Dr.M , Anbarasan N ,   Department of Computer Applications, Nehru College of Management,  Coimbatore, TamilNadu, India
Published: September 2024

Sentiment analysis is a technique used to gather viewpoints, attitudes, and feelings from social media platforms like Twitter. It is now a well-liked field of study. Textual data is the main emphasis of the traditional approach to sentiment a Twitter is the most popular microblogging social networking site where users can send updates in the form of tweets on various topics. In this work, a labeled dataset that is freely accessible on Kaggle is employed, and a thorough set of pre-processing procedures is organized to gradually make the tweets suitable for handling using standard language handling techniques. As every instance in the collection consists of two tweets and a sentiment. Hence, machine learning under supervision is employed. Artificial intelligence classifiers can be used for this. These classifiers assess opinions on certain entities by endorsing political parties, businesses, analysts, etc. Machine learning methods for data appropriately classify the tweets through training. This means that machine learning techniques are more effective and quicker at performing sentiment analysis because this method does not require a word database. KEYWORDS: Supervised machine learning, Sentiment analysis ,Twitter,Data mining, Product evaluation ,ROC ,Classification ,Naive Bayes Logistic regression, Support vector machine and Linear SVC
Bike Rental System Using PHP
Authors:   Department of Computer Applications, Nehru college of management,  Coimbatore, Tamilnadu, India., K Dr. Anandan , B Abishek ,   Department of Computer Applications, Nehru college of management,  Coimbatore, Tamilnadu, India.
Published: September 2024

This project is simple to sign up for the user and customer have logged in to the website for bookings by entering their user’s name and password. Every bike has information available. Details provided by clients, such as the booking dates, for reservations. Features and an overview are also included in the bike information. One more feature Simple to pre- return and return for the bicycle. The reservation's return date has passed Give a daily fine of 200 rupees each day. All control is with the admin. The admin has the ability to add bikes and view their details. Administrators can easily operate and comprehend it. When an administrator views the bike's details and detects a problem, the vehicle is deactivated. Check out the booking details and report any issues (such as a misaligned mob name or a customer license image). An admin cancelled a reservation. The user won't have any trouble understanding, using, or navigating the relatively straightforward design. Keywords: Bike rental system, Urban mobility, System implementation, Project management, Sustainability, Smart transportation
Artificial Intelligence Based BLDC Motor-Driven Solar PV Fed Water Pumping System
Authors:   Lincoln University College, Malaysia, Pratap Gudala Satya , chakkaravarthy Dr Midhun ,   Lincoln University College, Malaysia
Published: September 2024

The best alternative to the conventional sources of energy is ever lasting solar energy and it is one among the cheapest and widely used energy. The present paper deals with the design and analysis of zeta converters, as it has been used as intermediate between voltage source inverter (VSI) and solar PV array. Maximum power point tracking (MPPT) technique has been used for gaining maximum efficiency from solar PV array. In this paper, Artificial Intelligence(AI) Technique based Fuzzy logic controller is used for better results. When compared to other methods of MPPT technique, Fuzzy logic based MPPT technique is best because it provides better results for randomly varying atmospheric conditions. In our proposed system, BLDC motor which has higher efficiency and noise less operation is considered. Maximum power loss of PV generator is well matched with the load characteristic of BLDC motor. Matlab/Simulink results carried out for the different topology of the DC-DC converters and the results are analyzed and compared. Keywords: Photovoltaic(PV) system, Maximum power point tracking (MPPT), Artificial Intelligence (AI) Technique, Fuzzy logic controller, BLDC motor, zeta converters.
Design and Performance Analysis of Brushless Doubly-Fed Machine for Wind Power Generation Using AI
Authors:   Lincoln University College, Malaysia, Revathi Duba , chakkaravarthy Dr Midhun ,   Lincoln University College, Malaysia
Published: September 2024

In BDFIG whenever an inductive load is suddenly connected or disconnected from the stator power winding(PW), it would leads to large fluctuations at PCC (Point of Common Coupling). So that here we proposed a transient control phenomena of the reactive current by the Line Side Converter (LSC) control. The reactive power change of load leads to the affect of the quality of the voltage waveform at PCC. The LSC cannot work properly, when the amplitude of the PCC voltage is higher than the dc link voltage. Many control strategies such as direct voltage control, predictive control etc., are developed to supply reactive current to overcome this problem in the machine side converter. By supplying or absorbing reactive current the PCC voltage fluctuations are stabilized, this can also be achieved by the LSC. Here we analyzes the PCC voltage and the transient reactive current when is load is suddenly connected or disconnected to the stator power winding and proposed a concept for this control which has better transient state performance. An AI- Fuzzy logic controller is developed in this paper for the better mitigation of distortion. The controllability of the LSC is analyzed whenever voltage swell occurs at PCC, when the load is disconnected from the power winding of the stator. By using reactive current of the LSC, a high voltage ride through concept is proposed and the correctness of this method is discussed by simulation and changes in the output as compared to proposed method is observed in the results.. Index Terms—Brushless doubly-fed induction generator (BDFIG), reactive current compensation, stand-alone operation, transient response, Artificial Intellegence (AI) Fuzzy logic controller.
A Review on Hand Gesture Based Mathematical Problem Solver
Authors: Choudhari Prof. Y.D.
Published: September 2024

This paper introduces a new approach to solving mathematical problems in hand gestures, combining computer vision techniques with artificial intelligence, allowing the system to recognize and interpret mathematically meaningful hand drawings of expressions. The methodology includes detecting hand gestures, transforming them into digital representations, and providing these inputs to a problem-solving neural network, specifically trained on the model. This paper then looks at the performance of the system regarding its applications in answering the following questions: How will it revolutionize education? For which individuals will it be of immense help? Keywords: Air Canvas, Math Solving, Computer Vision, Opencv, Mediapipe, Hand tracking, Gesture Recognition.
Health Care Provider Fraudulent Detection Using Machine Learning
Authors:   Computer Science and Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India, Khadse Prof.D.B
Published: September 2024

Healthcare fraud is a serious problem that affects the financial health and trust in healthcare systems around the world. This research paper focuses on using machine learning to detect fraudulent activities by healthcare providers. We analyze large amounts of data from Medicare claims to find unusual patterns that may indicate fraud. By using different machine learning methods, such as decision trees and random forests, we create a model that can accurately separate legitimate claims from fraudulent ones. To tackle the challenge of imbalanced data, we apply techniques like oversampling, which helps improve our model's performance. Our results show that this machine learning approach significantly enhances the accuracy and reliability of fraud detection compared to traditional methods. Additionally, our findings provide valuable insights for healthcare administrators and policymakers, helping them take action against fraud more effectively. By incorporating these advanced techniques into existing systems, we aim to support efforts to protect healthcare resources and improve patient care. This research not only adds to the understanding of fraud detection in healthcare but also offers practical solutions to fight against it effectively. Keywords: Provider Review, Insurance Claim Detection, Supervised Machine Learning, Support Vector Machine, Random Forest.
Hospital Management System Using PYTHON DJANGO
Authors:   Nehru College of Management, Coimbatore, Tamilnadu, India, Anandan DR. K , T Mr. Arunkumar ,   Nehru College of Management, Coimbatore, Tamilnadu, India
Published: September 2024

HOSPITAL MANAGEMENT SYSTEM is web based application using Python Django and MYSQL. The project Hospital Management system includes registration of patients, storing their details into the system. This system provides a centralized, accessible interface for handling various hospital functions, including patient management, appointment scheduling, medical records, billing, inventory, and staff coordination. Unlike traditional desktop-based systems, the web-based Hospital Management System offers the advantage of accessibility from any location with internet connectivity, facilitating real-time updates and seamless communication among healthcare professionals. The web-based nature of the system ensures scalability, ease of maintenance, and reduced hardware costs. It supports real-time data synchronization, improves data accuracy, and enhances patient care through efficient information management. By providing a robust and adaptable solution for modern healthcare needs, the Web-Based Hospital Management System aims to improve overall hospital operations, patient satisfaction, and administrative efficiency. KEYWORDS Patient Registration, Appointment Scheduling, Doctor’s Dashboard, Patient portal.
Facial Recognition-Based Attendance System
Authors:   Department of Computer Applications, Nehru College of Management, Coimbatore,  TamilNadu, India, Anandan Dr.K , Hameed Sahul ,   Department of Computer Applications, Nehru College of Management, Coimbatore,  TamilNadu, India
Published: September 2024

Innovative solution in several areas, including attendance management, have been developed as a result of the quick growth of artificial intelligence and machine leaning technology. This study describes a facial recognition-based attendance system intended to improve and automate the process of documenting attendance in businesses and educational settings. The system takes pictures of people’s faces, examines them, and uses computer vision algorithms and deep leaning techniques to identify them correctly in real time. The suggested system tackles typical issues with conventional attendance practices, like error prone or invasive biomimetic technologies and human roll calls. Our method makes use of an intuitive interface that makes it possible to integrate it easily with the current attendance control systems. It guarantees excellent accuracy and efficiency and protects user privacy by using safe data processing procedures. Metrics including user happiness, processing speed, and recognition accuracy are used to assess the system’s success. According to preliminary findings, the facial recognition attendance system considerably lowers the amount of time needed for attendance procedures and boosts administrative effectiveness overall. This research illustrates the potential of biometric technologies to alter attendance management, providing a reliable and convenient option for educational and corporate environments. Upcoming research will concentrate on strengthening system resilience and investigating uses in various contexts. acknowledgment method for robotizing the most common way of labelling individuals. For face acknowledgment, we require huge datasets and complex elements to distinguish an individual in all conditions, like differences in enlightenment, age, present, and so on. Keyword-facial recognition; interface; attendance control systems; biomimetic technologies.
Online Learning Platform: A Comprehensive Model and Analysis
Authors:   Department of Computer Applications, Nehru college of management,  Coimbatore, Tamil Nadu, India., S Dr. Gnanapriya , S Dinesh ,   Department of Computer Applications, Nehru college of management,  Coimbatore, Tamil Nadu, India.
Published: September 2024

By utilizing PHP and MySQL, the Online Learning Platform project seeks to establish an effective and easily navigable learning environment. This platform offers a complete solution for teachers and students as the need for online education increases. With the system's intuitive course administration interfaces, instructors can create, modify, and arrange courses with ease. In addition to registering, students can access a range of learning resources, such as interactive tests, documents, and videos. User identification, role-based access, progress monitoring, and community engagement-promoting discussion boards are some of the key features. In order to provide accessibility across devices and improve the user experience in a variety of scenarios, this platform places a high priority on responsive design. The initiative aims to advance e-learning and foster diversity and flexibility in education by tackling prevalent issues in online learning. In the end, this prototype positions itself as a useful tool in the growing field of digital learning, laying the groundwork for next advancements and synergies.
Estrés laboral en los trabajadores de las “Carrocerías Yaulema Jr”.
Authors: Yaulema-Brito Washington , Cayán-Martinez Juan
Published: September 2024

La presente investigación se realiza en Carrocerías Yaulema Jr., donde se analiza el estrés que es una reacción natural del cuerpo ante situaciones que percibimos como desafiantes o amenazantes. Aunque en dosis moderadas puede ser beneficiosa, ya que ayuda a la persona a adaptarse y afrontar los desafíos de la vida, cuando se vuelve crónico o excesivo puede tener efectos negativos en la salud física, mental y emocional. La investigación tiene como objetivo determinar los niveles de estrés en los trabajadores de las Carrocerías Yaulema Jr., aplicando el test de estrés de la Dra. Villalobos, con variables con características sociodemográficas, población evaluada es de 40 trabajadores donde se determinó los niveles de estrés de: el 5 % medio y 95 % alto, existe correlación de las variables sociodemográficas y el test aplicado determinado por el V de Cramer. Se concluye que la presencia de estrés es media - alta en los trabajadores, lo que requiere de un plan de mitigación y prevención de estrés, para reducir los riesgos a la salud tanto física como mental de los trabajadores.
The Effect of Provision of Chicken Cage Fertilizer and N Fertilizer on The Growth of Pakchoy (Brassica rapa L.) Plants With Verticultural Paralon System
Authors: Simbolon Fenty Maimunah , Ginting Sulaiman , Dalimunthe Mahyuddin , Gunawan Indra
Published: September 2024

The research was conducted in the greenhouse of the Faculty of Agriculture, Universitas Islam Sumatera Utara. The aim of this research is to know the effect of chicken manure and N fertilizer on growth and production of mustard pakcoy plant with parallon vertikultur system. The design of this study used a Completely Randomized Design (CRD) Factorial consisting of two factors and repeated three times. The first factor is the provision of chicken coop (A) which consists of 4 levels, namely: A0 = 0 g / parallon (Control); A1 = 1000 g / parallon; A2 = 2000 g / parallon; A3 = 3000 g / parallon. The second factor is N (N) fertilizer consisting of 4 levels, namely: N0 = 0 g / parallon (Control); N1 = 1.8g / plant; N2 = 3.7g / plant; N3 = 5.6g / plant. The results showed that chicken manure gave a very significant effect on all parameters observed. The provision of chicken manure has a very significant effect on the parameters of plant height, the number of leaves, the diameter of the cob. The results showed that N fertilizer gave very significant effect on the parameters of plant height, leaf number, diameter of cob. The interaction of chicken manure and N fertilizer gave a very real effect on the diameter of the hump. However, the effect is not significant on the parameters of plant height, number of leaves.
Religio-Cultural Underpinnings of Gender and Reproductive Injustice and Their Impact on Women’s Agency in India
Authors: Saldanha Virginia
Published: September 2024

Indian culture is steeped in patriarchy, influenced by religious teachings. These contribute to the socialization of women as submissive and subservient to men. Men socialized to dominate women engage in violence against women, and women who experience such violence experience challenges in responding to it. The women’s movement in India has an important role to play in engaging religious voices in a critical and constructive way.
Detecting and Preventing ARP Spoofing Attacks Using Real-Time Data Analysis and Machine Learning
Authors: Kumar Mrinal , Dash Chandra Sekhar
Published: September 2024

ARP spoofing attacks contain certain risks in networks as they seem to intercept traffic and can lead the leakage of intellectual information. This research paper focuses on enhancing the method through which five algorithms namely: Random Forest, Long Short-Term Memory (LSTM) Networks, Convolutional Neural Networks (CNNs), Support Vector Machines (SVM) and Isolation Forest for ARP spoofing detection and prevention. In the process of the experiment, each algorithm is tested with the dataset of ARP traffic and the results are compared on the five criteria: of data; these are accuracy, precision, recall, F1-score, false positive rate, and the false negative rate. It can therefore be deduced that out of all the algorithms employed, Random Forest has the highest accuracy of 94 and high values of precision and recall thus making it more efficient in real-time ARP spoofing detection. Its effectiveness is equally high as the effectiveness of LSTM Networks and CNNs, which process temporal or spatial data, but work longer. SVMs are comparatively not bad in terms of accuracy to noise ratio, however, they are less accurate as compared to both Random Forest as well as CNNs. This method however lacks good accuracy and has high error values as portrayed above with Isolation Forest. Based on this analysis, conclusions are made that use of higher levels of ML leads to the detection of ARP spoofing implementing Random Forest as the best solution for enhancing the network security.
Blockchain Voting System- An NFT-Based Approach
Authors: Wadhwa Anshjyot Singh
Published: September 2024

This study introduces an innovative blockchain-based voting system that leverages non-fungible tokens to enhance the integrity, openness, and accessibility of elections. By harnessing the decentralized nature of blockchain and the distinctive characteristics of NFTs, the proposed system aims to address common vulnerabilities in traditional voting methods. The research findings indicate that a blockchain-based voting system utilizing NFTs can substantially improve election integrity. NFTs are employed to authenticate voter identities, bolstering security and mitigating fraudulent activities. Additionally, the public blockchain ledger ensures the permanent recording of votes, promoting transparency and confidence in election outcomes. Furthermore, the internet-enabled voting approach allows participation from any location, reducing barriers to voter engagement and improving accessibility. This paper examines the technical implementation of the proposed system, including the application of smart contracts and cryptographic methods to protect the voting process. It also explores potential obstacles and areas for future investigation, highlighting the transformative potential of this approach in democratic procedures.
Assessment of Community Pharmacist’s Knowledge Attitude and Practice towards Dispensing Errors in South Bangalore: A Prospective Cross Sectional Study
Authors: kumar Vinod , V B Amulya , Mathew Ancy , M Abinaya , Suresh Swathy
Published: September 2024

Background: Dispensing Error are preventable in community settings to ensure the patient safety and provide better health services addressing dispensing error often requires a multifaceted approach that include improved communication, training and education of healthcare professionals. Aim of study is to assess the community pharmacist’s knowledge, attitude, and practice towards dispensing error in south Bangalore. Objective of the study is to determine the factors which cause dispensing error in community pharmacy and significant association between KAP with demographics. Methods: A prospective cross sectional face to face interview based study employing a self-designed questionnaire was conducted in a community pharmacy in south Bangalore. Results: A total of 369 pharmacist responded to the survey, of which men comprised 64.5%, while women made up to 35.5%. The bulk of responders (44.7%) were between the ages of 20 and 30, with those aged 51 to 65 accounting for 14.9%. The individuals' educational backgrounds revealed that the biggest percentage came from D-pharm (44.4%), B-pharm (37.1%), M-pharm (16.5%), and Pharm D (1.9%).10.8% of respondents (15-20 years) have the least work experience, while 29% of subjects (over 20 years) have the most. The bulk of working hours (71%) are greater than 7 hours, rather than less than 7. Comparisons between demographic details and knowledge shows age and educational qualification shows significant (p<0.05) in the study, and with the attitude educational qualification and working hours showed highly significant and with the practice age showed highly significant in the study. Conclusion: majority of subjects are men than women. The subjects had good knowledge and attitude towards dispensing error, but their practice was varied. Age and educational qualification were found to be highly significant factors in influencing knowledge and attitude, while age was also significant in influencing practice.
Examining the Impact of Parasitic Infections on Mental Health and Health Indices in Patients from Southern Nigeria
Authors: Oduma Ewoma O. , Ukpen Anthony O
Published: September 2024

There is evidence of parasitic diseases as well as psychological issues in some regions of the world including Southern Nigeria; thus, the relationship between these infections and the mental health condition must be understood. The aim of this study was to establish the prevalence of parasitic infections among mental health patients, common coexisting psychiatric disorders and effects of treatment on mental health of patients. Data was collected using records of clinical evaluations, laboratory tests and structured interviews. In this cross sectional study on mental health patients, there were 30% who had malaria, 16% with schistosomes, 20% with helminthes and 10% with toxoplasma. Other findings were as follows: Patients with parasitic infections had higher prevalence of depressive disorder at 40% as compared to normal healthy control of 25%; of anxiety disorder at 35% in the study group as compared to 20% in normal health control; of cognitive impairment at 30% in the parasitic affected compared with 15% in normal health controls; of psychotic disorder 20% in the parasitic infected patients There was a significant difference in health indices; 5 ± 2. 0 versus the control group of 13. 0 ± 1. 5 g/dL, likewise BMI was significantly lower in the study group (247) 19. 5 ± 3. 5 versus control group, 22. 0 ± 2. 8 k/m2, cognitive function. Treatments included records of antimalarials, which yielded the following level of self-reported improvement: A 65% improvement was noted among those treated for mixed infections. Thus, integrating mental health services into parasitic infection control programmes and aggressive preventive measures are beneficial for enhancing health. These findings added knowledge to the investigation of effects of parasitic infections on the mental health of individuals and also re-underscore the need to involve multi-faceted models of approach in effectively treating people with infections.