bluuebunny/crossref_metadata_2025 huggingface dataset:
Dead Men Do Even Tell Filled Tales
Authors: S. Anitha Rao  , G. Venkateshwar Rao  , V. Chandrasekhar  , Kolli Tejaswi Chowdary  , Shaik Sana
Published: April 2024

Background: Dental identification of deceased individual is a core task in the forensic dentistry. The accurate recording of clinical procedures has become more important over the  time because of the increasing trends of lawsuits worldwide. Advances in imaging, root canal anatomy and restorative materials have been consistently emerging in present research and practice. Hence, the purpose of this paper is to provide an update on interrelationship between restorative dentistry and forensic personal identification.Aim: To observe the effects of predetermined incineration temperatures (400 and 800) on unrestored and restored teeth with different restorative materials, and its effect on length of tooth and volume of the pulp under Stereomicroscope and CBCT.Materials and Methods: 48 extracted premolar teeth were divided into 2 groups based on predetermined temperatures and subdivided into 4 subgroups based on restorative material used. Subgroup i- Unrestored teeth, Subgroup ii- class I Amalgam restoration, Subgroup iii- class I Amalgomer restoration and Subgroup iv- class I Cention restoration. The Antemortem and postmortem records were compared using Stereomicroscope and CBCT.Results: Teeth exposed to incineration at different temperatures will be analyzed under Stereomicroscope and CBCT.
Unveiling Digital Document Manipulation: A Case Study in Forensic Examination
Authors: Deepika Dubey  , Richa Rohatgi  , Seema R. Pathak
Published: April 2024

The ease of creating digital documents due to today’s technological advancements has led to a surge in white- collar crimes involving forgery and manipulation. Detecting these digital document alterations presents a unique set of challenges to forensic investigators. The present study aims to uncover a forgery in a digitally manipulated document and demonstrate the successful detection of digital document alterations. This study examines a real- life case to explore the methods utilized by forensic experts in detecting and evaluating document forgery. It highlights the crucial role of digital forensic analysis in contemporary investigative procedures. This research emphasises the significance of understanding document forgery and the need for robust forensic techniques in detecting digital manipulation. Ensuring the integrity of digital documents is crucial in maintaining trust and reliability in today’s information-driven era.
Tracking real-time proximity in daily life: A new tool to examine social interactions
Authors: Janssen Loes H. C. , Verkuil Bart , Nedderhoff Andre , van Houtum Lisanne A. E. M. , Wever Mirjam C. M. , Elzinga Bernet M.
Published: April 2024

Social interactions, spending time together, and relationships are important for individuals’ well-being, with people feeling happier when they spend more time with others. So far, most information about the frequency and duration of spending time together is based on self-report questionnaires. Although recent technological innovations have stimulated the development of objective approaches for measuring physical proximity in humans in everyday life, these methods still have substantial limitations. Here we present a novel method, using Bluetooth low-energy beacons and a smartphone application, to measure the frequency and duration of dyads being in close proximity in daily life. This method can also be used to link the frequency and duration of proximity to the quality of interactions, by using proximity-triggered questionnaires. We examined the use of this novel method by exploring proximity patterns of family interactions among 233 participants (77 Dutch families, with 77 adolescents [Mage = 15.9] and 145 parents [Mage = 48.9]) for 14 consecutive days. Overall, proximity-based analyses indicated that adolescents were more often and longer in proximity to mothers than to fathers, with large differences between families in frequency and duration. Proximity-triggered evaluations of the interactions and parenting behavior were generally positive for both fathers and mothers. This innovative method is a promising tool that can be broadly used in other social contexts to yield new and more detailed insights into social proximity in daily life.
Güncel Hemşirelik Çalışmaları VII
Authors: Kartal Günen Hilal , Göktaş Sonay , Öçal Gülnadiye , Akduran Funda , Yıldırım Gökşen Dicle Filiz , Uludağ Elif , Bozkul Gamze , Altun Uğraş Gülay , Yılmaz Koçak Mine , Atçeken Hanife , Uzunalioğlu Miyase , Gezginci Elif , Saygılı Düzova Ülkü , Akbaş Meltem , Arslan Sevban , Üner Elif
Published: April 2024

Kalp Cerrahisi Sonrası Multimodal Analjezi
Hilal KARTAL GÜNEN
Sonay GÖKTAŞ
Serviks Kanseri ve Hemşirelik
Gülnadiye ÖÇAL
Funda AKDURAN
Güvenli Annelik Programı ve Dünya Sağlık Örgütü’nün Anne-Bebek Paketi
Dicle Filiz YILDIRIM GÖKŞEN
Elif ULUDAĞ
Gastrointestinal Cerrahide Eras Protokolleri:
Perioperatif Yönetime İlişkin Kanıtların Bakıma Yansımaları
Gamze BOZKUL
Gülay ALTUN UĞRAŞ
Doğum Uygulamalarının Eğitiminde Simülasyon Kullanımı
Mine YILMAZ KOÇAK
Hanife ATÇEKEN
Cerrahi Hemşireliğinde İnovatif Yaklaşımlar
Miyase UZUNALİOĞLU
Elif GEZGİNCİ
Epilepsi Hastalarında Hemşirelik Yaklaşımları
Ülkü SAYGILI DÜZOVA
Ölmekte Olan Kanserli Hastalar ve Aileleri için Hemşirelik Bakımı ve Yaşanan Güçlükler
Meltem AKBAŞ
Sevban ARSLAN
Yaşlı Bakımının Görünmeyen Yükü: Merhamet Yorgunluğu
Elif ÜNER
Güncel Kadın Hastalıkları ve Doğum Çalışmaları VII
Authors: Şen Ahmet Eren , Erol Mustafa , Şafak İhsan , Çevikoğlu Kıllı Mürşide , Şafak İhsan , Dal Yusuf , Özdilek Kırçiçeği Feden Kübra , Balkaş Gülay , Akgör Utku , Aykut Serdar , Avan Mesut
Published: April 2024

Gebelikte Radyasyon Maruziyeti
Ahmet Eren ŞEN
Mustafa EROL
Gebelikte Üriner Sistem Hastalıkları
İhsan ŞAFAK
Endometriyum ve Serviks Malignitelerinde Fertilite
Koruyucu Yaklaşım
Mürşide ÇEVİKOĞLU KILLI
Gebelik ve Gastointestinal Sistem Hastalıkları
İhsan ŞAFAK
Gebelikte Antifosfolipid Sendromunun Etkileri ve Yönetimi
Yusuf DAL
Kadın İnfertilitesine Yaklaşım
Feden Kübra ÖZDİLEK KIRÇİÇEĞİ
Hipertansif Gebeliklerde Umblikal Doppler
Rezistans İndeksinin Önemi
Gülay BALKAŞ
Gebelik ve Migren
Utku AKGÖR
Nonimmun Hidrops Fetalis
Serdar AYKUT
Teratojenler
Mesut AVAN
Boarding House Property Market Trends and Investor Preferences in Boarding House Development: A Comparative Study with Web Scraping
Authors: Wibawa Erlinda Gilberta , Dewa Parama Kartika
Published: April 2024

The development of the education industry and other supporting sectors scattered in the Sleman Regency - Indonesia has influenced the mushrooming of boarding houses. It is essential to use business intelligence for boarding house investors to analyze market trends to produce a boarding property business that is not inferior to its competitors. This study aims to contribute to the boarding house investors to obtain information on the characteristics, relationships, and effects of boarding house facilities on the rental prices set to remain competitive in the market. A total of 658 boarding house data from an e-commerce platform was extracted using business intelligence web scraping to determine the characteristics of the boarding house market trend in Sleman Regency. Multinomial Logistic Regression was used to find out the facilities for rooms, bathrooms, shared services and equipment, and common rooms, making the difference in rental prices for superior, exclusive, intermediate, and standard boarding house classes. The Multinomial Logistic Regression analysis results revealed that boarding houses with high rental prices were more concerned with things directly felt by tenants (everything about their room needs). Meanwhile, boarding houses with affordable rental prices prioritized things that general tenants could use/utilized.
Analisis Postur Kerja Berdasarkan Metode Owas Dan Nordic Body Map Pada Pekerja Bongkar Muat Barang Di Pasar Klaten
Authors: Siti Siti Lestariningsih , Faisal Abdul Jamal  , Puji Asih  , Iva Mindhayani
Published: April 2024

Penelitian ini bertujuan untuk mengidentifikasi besarnya tingkat resiko pekerjaan bongkar muat barang dan bagian tubuh yang paling dominan dirasakan rasa sakit oleh pekerja, mengetahui besarnya action limit dan mengetahui saran pebaikan untuk pekerjaan bongkar muat barang di pasar darurat 3 lantai Kabupaten Klaten. Hal ini dikarenakan pasar mansih menganut sistem tradisional, pekerja memiliki peran dominan dalam penanganan barang secara manual untuk pelayanan terhadap konsumen, penanganan barang tersebut dilakukan setiap hari dan secara terus menerus, maka sudah seharusnya dilakukan analisis dan evaluasi yang mengacu pada postur kerja untuk menjamin pekerja dari risiko cidera otot pada tulang belakang. Penelitian ini merupakan identifikasi  pada 10 orang pekerja dengan menggunakan metode OWAS dapat diketahui tingkat resiko dan penentuan saran perbaikan, dengan metode Nordic Body Map untuk mengetahui bagian tubuh yang dominan dirasakan rasa sakit, dan action limit untuk mengetahui batasan berat beban yang dapat diangkut secara manual. Hasil penentuan skor OWAS dari pekerjaan bongkar muat barang yang berkativitas mengangkut menunjukkan kategori postur. Besar resiko pekerjaan bongkar muat barang yang berkativitas mengangkut adalah kategori 4 dan tubuh yang paling dominan dirasakan Pinggang, Bokong, Paha kiri, Paha kanan, Bahu kanan, Lutut kiri, Lutut kanan, Betis kiri, Betis kanan, nilai action limit (AL) 219,65 N dibandingkan dengan nilai Maximum Pressible Limit (MPL) sebesar 6.589,63 N dan FCL5/S1 sebesar 5.230,15 N maka dikategorikan berbahaya. Guna mengurangi cidera musculoskeletal memberikan edukasi kepada pekerja pentingnya postur kerja dan memfasilitasi pekerja diusulkan dengan alat bantu berupa Troli.
The Effect of Brand Image, Brand Trust and Price on Repurchase Interest
Authors: Hidayatulloh Fahmi , Susila Ihwan
Published: April 2024

Public transportation and private vehicles are the community's solution for mobilizing all activities. The aim of this research is to analyze the influence of brand image, brand trust and price on interest in repurchasing Vario motorbikes (Study in the Soloraya community of Vario motorbike users). This research method is quantitative. The type of data used in research is primary data. The population in this research is all Soloraya people who use Vario motorbikes. The sample size for this research was 130 respondents. The data analysis technique used in this research is SMARTPLS 3.0 software. This research uses Structural Equation Model (SEM) analysis with Partial Least Square (PLS). The results of this research are that Brand Image has a positive and significant influence on Repurchase Intention. Brand Trust has a positive and significant influence on Repurchase Intention. Price has a positive and significant influence on Repurchase Intention.
Complicaciones y Fracasos del Implante Coclear
Authors: Martinez Lopez Gustavo Amaury , Correa Figueredo Edwin Edgardo
Published: April 2024

La función del oído se basa en mandar la señal auditiva desde el medio externo hasta el interno (cerebro). Cuando los oídos no funcionan adecuadamente pueden aparecer ciertas alteraciones como la hipoacusia, razón por la cual es de mucha utilidad el uso de avanzadas alternativas terapéuticas como lo es el implante coclear. El mecanismo de este se basa en la transformación de los sonidos del medio ambiente en energía eléctrica que estimula las aferencias del nervio coclear, produciendo la percepción de una sensación auditiva en el individuo. Pese a ser una buena opción y presentar una baja tasa de complicaciones, el hecho de insertar un cuerpo extraño en los tejidos humanos induce un riesgo potencial de presentar infecciones, migración del implante, deterioro del hueso temporal, parálisis facial, fístula de líquido cefalorraquídeo (LCR), meningitis y los riesgos habituales de la anestesia y la estimulación nerviosa inadecuada. Por tal razón, en este artículo se realiza una revisión bibliográfica de la literatura en aras de conocer las principales complicaciones y fracasos del implante coclear en los últimos años para alertar al personal médico de realizar una intervención oportuna que pueda prevenir consecuencias adversas y mejorar los resultados a largo plazo de estos pacientes.
Concept learning, Verbal-Nonverbal Taxonomy: A Study from Engram Theory and Conceptual Atomism
Authors: Muñoz López Miguel Ángel , Hernández Pozo María del Rocío , Almaráz Rodríguez Omar David
Published: April 2024

This article focuses on concept learning, exploring the variability of this process in relation to verbal and nonverbal taxonomy. The theories of concept and memory, particularly conceptual atomism and engram theory, are examined, which provide a solid foundation for understanding learning processes and concept formation. A novel definition of "dynamic concept" is elaborated based on these theories. Considering this, an experiment was designed to measure conceptual learning, finding statistically significant differences in learning between verbal and non-verbal concepts. Non-verbal concepts were recalled more extensively than verbal ones, with a significant effect size, consistent with prior research. Demographically, women and men showed similar learning patterns in verbal concepts, but men exhibited highest number of correct answers during the test in non-verbal concepts.
Conocimiento de la técnica SAER del personal de enfermería del servicio de urgencias de un hospital público de Tabasco
Authors: Velázquez Ruiz Miguel Ángel , González Angulo Pedro , Lázaro Pérez Mirella , Madrigal Peregrino José del Carmen , Ávalos Cancino Oriana Guadalupe
Published: April 2024

Esta investigación tiene el propósito determinar el nivel de conocimiento de la aplicación de la técnica SAER en el personal de enfermería del servicio de urgencias pediátricas. Es un estudio de tipo cuantitativo, descriptivo y transversal, se consideró una población de 82 enfermeros del servicio de urgencias de un Hospital público de Alta Especialidad en la ciudad de Villahermosa, Tabasco, México. Como muestra final se obtuvo la participación de 45 enfermeras(os). Par la recolección de datos se utilizó el instrumento: “Test Conocimiento sobre un modelo de comunicación SAER de los profesionales de enfermería”. Para las consideraciones éticas se tomó en cuenta lo dispuesto en el Reglamento de la Ley General de Salud en Materia de Investigación. Como princial resultado se obtuvo que el 35.6% reportó un nivel medio de conocimiento sobre la técnica SAER, el 33.3% un nivel alto  y el 31.1%  un nivel bajo. A manera de conclusión se puede decir que el nivel de conocimiento sobre la técnica SAER en el personal de enfermería estudiado en esta investigación fue de medio a alto, lo cual indica que esta téncia es conocida por más de la mitad del personal de enfermería.
ANÁLISE DE DESEMPENHO DO CONCRETO COM SUBSTITUIÇÃO DE UMAPORCENTAGEM DO AGREGADO MIÚDO POR RESÍDUOS DE USINAGEM DAINDÚSTRIA METAL MECÂNICA
Authors: Zenere Thaís Aparecida
Published: April 2024

Atualmente o mundo vem demonstrando um incentivo grandioso a ações para a sustentabilidade, e o aproveitamento de resíduos industriais na construção civil é uma alternativa para destinar esses materiais, usufruindo dos benefícios que podem oferecer. Buscou-se com este trabalho a substituição de uma porcentagem do agregado miúdo por cavacos de aço na confecção do concreto. Com isso seria possível diminuir a exploração de recursos naturais como a areia, utilizando resíduos industriais, que se forem descartados de maneira incorreta podem causar impactos ambientais. Foi iniciado este trabalho elaborando o levantamento bibliográfico, para que possa auxiliar no decorrer do mesmo. Este projeto teve como objetivo geral, comparar a resistência mecânica do concreto convencional e do concreto com resíduo de usinagem (cavaco de aço), substituindo uma porcentagem do agregado miúdo pelo resíduo. Os materiais essenciais para realização deste trabalho foram o agregado miúdo, agregado graúdo, água, cimento Portland e o resíduo (cavacos de aço). Sendo assim, para obter os resultados desejados foram realizados os ensaios no Laboratório de Materiais e Solos da UNIARP, como a caracterização dos materiais, granulometria, massa específica dos agregados, massa unitária, absorção de água, trabalhabilidade do concreto e ensaio de resistência a compressão. Todos esses ensaios estão descritos na metodologia deste trabalho, demonstrando as etapas e normas da ABNT que foram seguidas de acordo com cada procedimento, para obter os resultados e alcançar os objetivos propostos.
The Effectiveness of Social Communication in Creating a Conducive Atmosphere in Penajam Paser North District through Facilitation P4GN & PN
Authors: Saragih Sardo Jan Warisman , Yusmanizar Yusmanizar , Sukmarini Andi Vita
Published: April 2024

This research aims to determine the effectiveness of social communication in creating a conducive atmosphere in North Penajam Paser Regency through facilities for the Prevention, Eradication, Abuse and Illicit Trafficking of Narcotics and Narcotics Precursors (P4GN & PN). When this research was carried out, he met directly with the Head of the National Unity and Politics Agency through the Head of the Development of Iwasbang, Community Organizations and Economic, Social and Cultural Resilience. Apart from that, conducting interviews with several related sources such as the Health Service, PPU District Narcotics Agency (BNK), PPU District Prosecutor's Office, PPU 0913 Military District Command, PPU Cq Resort Police. Narcotics Unit, Bangun Mulya Village, Waru District. The negative impact resulting from drug abuse is very large, not only does it have an impact on physical health problems, but it also has an impact on psychological/mental health problems. Drug prevention and control efforts can be carried out in preventive or repressive ways. The existence of the North Penajam Paser Regency National Narcotics Agency is expected to be able to assess and suppress the still high level of drug abuse to the extent of the effectiveness of social communication in creating a conducive atmosphere in North Penajam Paser Regency through facilitating the prevention, eradication, abuse and illicit trafficking of narcotics and narcotics precursors (P4GN & PN).
Surfactants and Microbial Aerosol of Urban Particulate Matter (PM10) in Kuala Lumpur City Centre
Authors: Nurul Bahiyah Abd Wahid  , Nurnabilah Syahirah Jafri  , Muhammad Afiq Mohd Nor  , Venusha Segar  , Suzita Ramli  , Noraine Salleh Hudin  , Nor Zila Abd Hamid  , Mohd Talib Latif  , Anggi Tias Pratama
Published: April 2024

Surfactants in the atmosphere potentially influence the global climate and may affect human health. This study aims to determine the compositions of surfactants extracted from urban particulate matter (PM10) and motor vehicle exhaust soot. In addition, microbial aerosol was also determined. A high-volume air sampler (HVAS) has been used to collect PM10 samples in Kuala Lumpur urban area. Meanwhile, the vehicle exhaust soot was collected randomly from the exhaust pipes of various types of diesel and petrol vehicles, using a soft brush during dry days. The concentration of anionic surfactants as Methylene Blue Active Substances (MBAS) was determined by the colorimetric method using a UV-Vis Spectrophotometer. The presence of microorganisms such as bacteria and fungi were investigated by colony count. In addition, the correlation between surfactants and traffic-related air pollutants has also been investigated. Results revealed that the average concentration of MBAS in particulate matter is 107.68 ± 7.91 µgm-3. Diesel vehicles demonstrated higher surfactant concentration in exhaust particulate matter with an average value of 0.227 ± 0.006 µmolg-1 compared to petrol vehicles (0.146 ± 0.003 µmolg-1). Based on this study, various mitigation procedures can be implemented to reduce the impacts of PM and exhaust soot for a better future.
Yol Kullanıcı Davranışlarının Edimsel Koşullanma Kuramı Çerçevesinde İncelenmesi: Trafik Uygulamaları Üzerine Nitel Bir Çalışma
Authors: Ersan Özlem , Çelik Meliha İrem , Güler Hümeyra
Published: April 2024

Bu çalışma kapsamında Dünya Sağlık Örgütü tarafından belirlenmiş olan beş farklı yol kullanıcı davranışına (hız yapma davranışı, alkollü araç kullanımı, emniyet kemeri kullanımı, çocuk koruma sistemleri kullanımı ve motosiklet kaskı kullanımı) yönelik trafik kurallarının caydırıcı etkileri Skinner’ın (1953) Edimsel Koşullanma Kuramı bağlamında incelenmiştir. Edimsel Koşullanmanın pekiştirme ve ceza bileşenlerini içeren caydırıcı kuralların, sürücüler tarafından nasıl algılandığını anlamak için nitel araştırma yapılmıştır. Araştırmada, ehliyet sahibi ve aktif araç kullanan 31 katılımcıdan yarı yapılandırılmış görüşmelerle veri toplanmıştır. Ardından edimsel koşullanma bileşenlerinin her biri için hazırlanan çoktan seçmeli sorularla en sık tercih edilen yöntem incelenmiştir. Bununla birlikte, yarı yapılandırılmış görüşmelerin pekiştirme ve ceza bileşenleri kapsamında temel başlıklarını belirlemek amacıyla içerik analizi uygulanmıştır. Sürücülerin en sık rapor ettiği ehliyet kaybetme düşüncesi, edimsel koşullanma bağlamında olumsuz cezanın en caydırıcı yöntem olduğu sonucunu vermiştir. İçerik analizi sonuçlarına göre “caydırıcı yaptırım uygulamaları” ve “sistem uygulamaları” adlı iki ana grup oluşmuştur. Araştırmada katılımcılara genel olarak trafik kurallarına neden uyulmadığına dair sorular yöneltilip cevaplar beklenmiştir. Elde edilen sonuçlar kapsamında caydırıcılığı en yüksek olan yaptırımın “ehliyete el konulması” olduğu ve bu yaptırımın sürücülerin günlük hayatını etkileyeceği yönünde bulgulara ulaşılmıştır. Dolayısıyla, ehliyet kaybetme algısının sürücülere daha fazla benimsetilmesi amacıyla denetimlerin sıklığının ve niteliklerinin arttırılmasının caydırıcılığı da arttıracağı ön görülmektedir.
Yerel Yönetimlerin Sürdürülebilir Kentsel Hareketlilik Planları Yeterliliklerinin Tespiti Üzerine Bir Uygulama
Authors: Karaçor Fatih , Ergül Hazal , Hatipoğlu Seda , İzol Elif
Published: April 2024

Günümüzde kentler modern ekonominin güç merkezi olup, hızla nüfusları artmaktadır. Bu durum, trafik sıkışıklığı, gürültü ve hava kirliliği ve sonucunda kişilerin yaşam kalitesinin düşmesini beraberinde getirmektedir. Bu durum gözetilerek Avrupa kentlerinde yaşam kalitesini arttırmak için sürdürülebilir ve entegre planlama yaklaşımı benimsenmiştir. 2009 yılında ise Sürdürülebilir Kentsel Hareketlilik Planları (SUMP), yeni bir planlama yaklaşımı olarak sunulmuştur. Avrupa’da farklı ölçeklerde yaklaşık 1000 şehir, kendisine ait coğrafi özelliklere ve kendi özgünlüklerine uygun bir şekilde SUMP’a başlamış veya SUMP’lara benzer kapsamlı, çok modlu ulaşım planları geliştirmiştir. Türkiye’de yürürlükte bulunan tek SUMP, İstanbul Büyükşehir Belediyesi tarafından hazırlanan ve 2022 yılında yayımlanan “İstanbul Sürdürülebilir Kentsel Hareketlilik Planı’dır. Bu çalışmada Türkiye’deki yerel yönetimlerin SUMP yeterlilik durumları anket yoluyla analiz edilmiş ve bir yeterlilik haritası oluşturulmuştur. Ana bulgu olarak; yerel yönetimlerin SUMP konusunda bilgi ve kapasitelerinin henüz istenen düzeyde olmadığı ortaya çıkmış, bu durumun iyileştirilmesi için öneriler geliştirilmiştir.
PEMBIAYAAN PENDIDIKAN
Authors: Sudarmono Sudarmono , Hasibuan Lias , Anwar Us Kasful
Published: April 2024

Pendidikan merupakan salah satu kunci kemajuan bangsa dan negara. Dalam meningkatkan kualitas masyarakat Indonesia, hubungan antara pemerintah, masyarakat dan swasta merupakan hubungan yang tidak terpisahkan dalam perannya dalam meningkatkan pemerataan dan kualitas pendidikan. Oleh karena itu, pendidikan merupakan tanggung jawab bersama antara pemerintah dan masyarakat, baik dari segi pembiayaan maupun tenaga dan fasilitas. Pendidikan yang berkualitas merupakan investasi yang mahal. Kesadaran masyarakat untuk menanggung biaya pendidikan pada hakikatnya akan memberikan kekuatan kepada masyarakat untuk bertanggung jawab atas penyelenggaraan pendidikan. Pendidikan dipandang sebagai sektor publik yang dapat melayani masyarakat dengan berbagai pengajaran, pembinaan dan pelatihan yang dibutuhkan oleh siswa. Pelaksanaan PP No. 19/2005 berimplikasi pada kebutuhan untuk merumuskan standar pembiayaan yang meliputi standarisasi komponen biaya pendidikan yang meliputi biaya operasional, biaya investasi dan biaya pribadi. Lebih lanjut disebutkan bahwa standar satuan biaya pendidikan ditetapkan dengan Peraturan Menteri berdasarkan usulan dari Badan Standar Nasional Pendidikan (BSNP). Standar pembiayaan pendidikan ini diharapkan dapat menjadi acuan dalam penyelenggaraan pendidikan di setiap Sekolah Dasar (SD), Sekolah Menengah Pertama (SMP), dan Sekolah Menengah Atas (SMA) di seluruh Indonesia. Karena manfaatnya yang begitu luas dan meresap di berbagai bidang, maka pembiayaan pendidikan harus menjadi perhatian utama pemerintah dan masyarakat. Mengacu pada konsep di atas, permasalahan pembiayaan sangat strategis untuk dikaji
Quantifying of Radioactive Elements in Soil, Water and Plant Samples using Laser Induced Breakdown Spectroscopy (LIBS) Technique
Authors: Ghourbal Abdoulaye Faycal , Adam Yousef Omar Bashir , Abdalrasool M.A. , Hamid A.S. , Mohamed Omer Mohmed Ibrahim
Published: April 2024

In this study, the laser-induced breakdown spectroscopy (LIBS) technique was applied to detect radioactive elements on surface soil, plant leaves (Tamarindus indica), and flow water collected from Bala, Mayo-Kebbi Quest, Chad. The survey process indicates that the samples contain radioactive elements U, Fr, Ce, Ac, Cm, Tb, and Pm. The concentrations of the detected elements in samples were determined using the calibration curve method, while the plasma temperatures (Texc) and electron density (Ne) of the detected radioactive elements were calculated from Boltzmann linear plots. Except for uranium, all elements in the soil sample had amounts below the acceptable limit. The concentration of uranium in soil samples ranges from 0.024236 to 0.23439 ppm, with a safety limit of 0.03 ppm. The average plasma temperature Texc for uranium (U) is 700, while the electron density Ne is 500 cm-3 .
Bhramari Pranayama and Thoracic Mobility Exercises for Moderate Chronic Obstructive Pulmonary Disease (COPD): A Case Study
Authors: Mageswaran N , Rao Supritha , Maheshwari Syamala
Published: April 2024

Chronic obstructive pulmonary disease (COPD) is a global health issue and a significant cause of morbidity, disability, and mortality due to persistent respiratory symptoms and airflow limitations. COPD is diagnosed through pulmonary function testing, particularly spirometry, which measures the post bronchodilator FEV1/FVC ratio. The purpose of this study was to determine the effectiveness of Bhramari pranayama combined with thoracic mobility exercises on increasing exercise/activity tolerance in patient with moderate COPD. This case study is about a 60-year-old male with COPD who presented with breathlessness, cough, and mMRC grade 2 dyspnoea. His FEV1 was 58%, FVC was 75%, and FEV1/FVC (post bronchodilator) was 63%. The patient was given Bhramari pranayama and thoracic mobility exercise for a period of 4 days. After 4 days, there was improvement in dyspnoea severity, exercise capacity, thoracic expansion, FEV1, FVC, FEV1/FVC, and CAT questionnaire score. Hence, we concluded that Bhramari Pranayama and thoracic mobility exercises are effective in increasing exercise/activity tolerance in patient with moderate COPD.
Profitability Efficiency and Dividend Policy of Companies Listed on the MAI Market, Service Industry Group
Authors: Phongpanichthada Thitiya , Rouyang Pranee , Vioangsuthon Nisarat
Published: April 2024

This research aims to study the efficiency of profits. To study the payment policy of companies listed on the MAI market, service industry group, and to study the profit efficiency affecting the dividend policy of companies listed on the MAI market, service industry group. The population and sample used in the study are companies listed on the MAI market in the service industry group. That shows financial information from 2020 to 2022 only, a total of 3 years, 54 companies, a total of 152 samples. Data was collected from financial statements. Annual report and Form 56-1. The received data is analyzed statistically according to the research objectives with a ready-made program. The statistics used to analyze the data are descriptive statistics, namely percentage, mean, minimum, maximum, and standard deviation. Quantitative statistics include analysis of the Pearson Correlation Coefficient. and Multiple Regression Analysis Major Findings the size of the business (SB) and the dividend policy variable (DP) were found to have a value equal to .220, which is a positive value. The results can be interpreted as The size of the business (SB) has little relationship with the dividend policy (DP) and has a relationship in the same direction (positive) at a statistical significance level of .01, and the gross profit margin (GPM) and the variable according to the dividend policy (DP). It has a value of .252 which is positive. The results can be interpreted as Gross profit margin (GPM) has little relationship with dividend policy (DP) and is related in the same direction (positive) at the statistical significance level .01, and gross profit margin (GPM) and variable based on dividend yield ( DPR) was found to be equal to .152, which is a positive value. The results can be interpreted as Gross profit margin (GPM) has little relationship with dividend yield (DPR) and is in the same direction (positive) at the statistical significance level.
Generative AI Project Assistant
Authors: Manikandan V. , Reddy G Giridhar , V Nishitha , Hemalatha K Ganga , C Kavitha
Published: April 2024

Our cutting-edge Generative AI project assistant serves as a versatile tool aiding users in generating data across various applications. Harnessing the latest technologies such as Langchain, OpenAI, and Google Colab Face, it ensures superior performance. We're elevating its capabilities by integrating voice assistance, enabling seamless interaction in both text and voice formats. This endeavor involves leveraging a suite of tools tailored for the purpose. The Generative AI Project Assistant represents a groundbreaking approach to project management, integrating generative AI to streamline processes. By employing sophisticated algorithms, it automates tasks, fosters collaboration, and provides valuable insights. Utilizing natural language processing and machine learning, it delivers intelligent suggestions, anticipates challenges, and facilitates the creation of customized solutions. In essence, this assistant redefines project management, offering an intuitive, adaptable, and efficient platform for teams to achieve their objectives with Chat GPT's prowess at its core.
Multiple Disease Prediction Using Machine Learning
Authors: Bagul Vrutika , Bagul Vrushali , Patil Sadichha , Bhoir Swati
Published: April 2024

Machine learning, which is a type of computer technology, has changed healthcare a lot. It helps doctors predict diseases better and faster. In healthcare, using machine learning algorithms decision tree (DT), logistic regression (LR), support vector machine (SVM) that can help predict lots of different diseases at the same time. This helps doctors find and treat illnesses early, which makes patients better and saves money on healthcare. This paper looks at how we can use computer programs that learn from data to predict many diseases. It talks about why this is good, what problems we might face, and where we might go next with it. We give a summary of the several machine learning models and information sources that are often employed in illness prediction. We also go over the significance of feature selection, model assessment, and combining several data modalities for improved illness prediction. We give a summary of the several machine learning models and information sources that are often employed in illness prediction. We also go over the significance of feature selection, model assessment, and combining several data modalities for improved illness prediction. The research shows that using machine learning algorithms to predict many diseases at once could really help public health. Again, we use a machine learning model to determine whether or not an individual is impacted by a few diseases. This training model trains itself to predict illness using sample data.
Air Quality Index Prediction using Bi-LSTM
Authors: Meesala Y V Nagesh , Uma Mahesh Avanapu , Reddy Bellana Abhiram , Obulesu Bichukathula
Published: April 2024

Air quality prediction plays a vital role in safeguarding public health and guiding environmental policy. Traditional single-model approaches often struggle to accurately forecast air quality fluctuations. In response, this study introduces a robust prediction system leveraging advanced machine learning techniques. We present a comparative analysis of several models including Support Vector Regression (SVR), Genetic Algorithm-Enhanced Extreme Learning Machine (GA-KELM), and Deep Belief Network with Back-Propagation (DBN-BP). Additionally, we propose the integration of Bidirectional Long Short-Term Memory (BiLSTM), a deep learning architecture, to further enhance prediction accuracy. Through comprehensive experimentation and evaluation, we demonstrate that BiLSTM outperforms existing models, exhibiting lower Root Mean Square Error (RMSE) and Mean Squared Error (MSE) values. Furthermore, by incorporating GA-KELM, we optimize the performance of BiLSTM, enhancing its predictive capabilities even further. The proposed hybrid model not only offers improved accuracy in air quality forecasting but also contributes to informed decision-making for pollution control strategies and public health interventions. This research underscores the significance of exploring innovative techniques to address pressing environmental challenges and underscores the potential of machine learning in advancing air quality management.
Predictive Analytics-Enabled Cyber Attack Detection
Authors: Susheela Sahana , Chandra N. Sarat , Priyan S. Sakthi
Published: April 2024

Cyber-attacks are becoming increasingly sophisticated and difficult to detect using traditional security measures. To address this challenge, we propose a predictive analytics- enabled cyber-attack detection system that utilizes machine learning algorithms to analyze network traffic and identify potential security threats in real time. Our system uses a combination of supervised and unsupervised learning techniques to identify patterns and anomalies in network data, and to generate anomaly and normal alert. The system is trained using historical data from known cyber-attacks and anomalies and we visualize the accuracy of various algorithms.
Speech Emotion Based Music Recommendation System
Authors: Bhosale Smita , Kothawade Chirag , Jagtap Gourie , Chavan Vedang , Relusinghani Preet Kaur
Published: April 2024

Psychological research has proven that music can reduce stress, improve mood, and help release “happy” chemicals like oxytocin, serotonin, and dopamine. Unsurprisingly, music has always been a popular tool in clinics and in the treatment of many ailments; Therefore, as the number of people experiencing mental health issues continues to increase around the world, addressing mental health issues has become more important than ever. Although there are currently recommended music, they do not have all the scheduling algorithms that take into account the user's needs. Few platforms offer music-based recommendations, and even fewer do so by incorporating the therapeutic benefits of music appropriate to the situation. It is undeniable that most people listen to music regularly, and music has been shown to improve cognition, memory, and sleep quality while also reducing stress, pain, and blood pressure. and a deployable way to enjoy all the benefits of music. Our goal is to improve the emotional state of the user by creating a positive feeling based on the recommended music called "Viby". to behave.
Formulation and Evaluation of Polyherbal Scalp Scrub
Authors: Yash Gandhi , Uzer Meman , Sahu Kajal , Sani Deeksha , Parmar Ishita , Pardhe Vaishali
Published: April 2024

Scalp scrub is usually used to treat problems like dead skin cells, dandruff, and flakes, and also controls sebum imbalance which helps to regulate hair growth. This article contains how aloe vera juice, fenugreek granules, rice powder, neem extract, hibiscus dried powder, optiphen, and lemongrass oil are used in scalp scrub. The properties of natural ingredients play an important role in removing impurities from the scalp and help exfoliate the scalp, balance the sebum, and soften and moisturize the scalp.
Pelatihan Pembuatan Games dengan Scratch Untuk Siswa SMA Wachid Hasyim 5 Surabaya
Authors: Sari Mamik Usniyah , Muhandhis Isnaini , Wijaya Nicholas , Murdani Muhammad Harist , Atmojo Suryo , Dewi Suzana , Ritonga Alven Safik , Widhiyanta Nurwahyudi
Published: April 2024

In the increasingly developing digital era, there are several computer skills that high school students must have. One of them is understanding the basics of programming and software development. This service program aims to introduce basic programming concepts and systematic logical thinking to Wachid Hasyim 5 High School students and motivate students to learn computers as a basic skill that must be possessed in the current era by creating game programs with Scratch. The implementation of this training was carried out using a participatory approach where the implementing team provided direct learning and assistance to participants. Mentoring is provided until students can master the material for making games with Scratch. The results of this service program are an increase in students' understanding of the basics of computer programming and an increase in students' skills in creating games with Scratch. This is proven by the post-test results which increased after the training was implemented.
Centenary Paper: Tiziano en la poesía española del Siglo de Oro
Authors: NEBOT VICENTE JOSÉ NEBOT
Published: April 2024

La obra de Tiziano ha motivado desde el siglo XVI hasta nuestros días una importante serie de alusiones literarias y ejercicios ecfrásticos o culturalistas. El presente estudio aborda, de forma inédita, un análisis crítico sobre la presencia de Tiziano y su obra en la poesía española del Renacimiento y del Barroco. Un número considerable de grandes autores (de Gutierre de Cetina a Lope de Vega o Quevedo) muestran la influencia tizianesca en sus obras en un variado abanico de temas y técnicas literarias. Dentro del campo de estudio de las antiquísimas relaciones entre la pintura y la poesía, los textos seleccionados en este trabajo resultan importantes por representar una primera interpretación lírica del genial pintor veneciano en la literatura española, precedente de las ricas y heterogéneas poéticas contemporáneas.
Rhythms of time and place
Authors: Rusch Neil
Published: April 2024

This research investigates the density and distribution of quartz deposited over an area measuring 70,000 m
2
at Kurukop in the Nama Karoo, South Africa. Relationships between quartz artefacts, engraved depictions, water features and rock abrasions in archaeological sites has been hypothesised. However, despite other comparable engraved sites in the region, Kurukop comprises an unusual number of quartz artefacts and intra-site associations. To investigate possible relationships between features I used a combination of techniques. These include, first, mapping the engravings, water features and rock rubbings during a ground survey and by means of drone imaging. Second, obtaining quartz samples from two squares (SA1, SA2), counting and weighing them. Last, intercalating these data with measurements provided by the aerial map and ground survey. A number of trends can be observed indicating that the remains of previous activities probably influenced subsequent decisions, thereby determining spatial organisation of the site and markings. Moreover, I applied a rhythm analysis to the ethnoarchaeological dimensions of the study to consider the production of space in terms of permanence, returns and abandonment (temporality). The conclusion I draw is that the presence and absence of water appears to have influenced the way in which hunter-gatherers, and later herders, chose to interact with and mark the site.
Looking Up for prehistoric hunter-gatherer archaeological sites in mountain landscapes in Europe
Authors: Butler Michéal , Doughty Alice , Lifton Nathaniel , Kelley Sam , Moucheron Martin , O’Brien Cormac , Mann Bruce , Skelton Richard , Warren Graeme
Published: April 2024

This paper introduces Looking Up, an intradisciplinary project combining archaeology and geological perspectives to contribute to the management of hunter-gatherer archaeological heritage in mountain landscapes, with a case study based in the Cairngorm Mountains, Scotland. Looking Up, which ran from 2021–2023, used a combination of original archaeological research – especially the development of predictive models of the location of areas of high archaeological potential – and new geological models which provided new information on the timing of deglaciation and numerical models of palaeo-glaciers. This was combined with extensive stakeholder and public engagement to develop best practice guidelines on the management of hunter-gatherer archaeological sites in mountain landscapes.

This article was published open access under a CC BY licence:
https://creativecommons.org/licences/by/4.0
.
Bottom’s Dream and the Amplification of Filamentary Gas Structures and Stellar Spiral Arms
Authors: Meidt Sharon E. , van der Wel Arjen
Published: April 2024

Theories of spiral structure traditionally separate into tight-winding Lin–Shu spiral density waves and the swing-amplified material patterns of Goldreich & Lynden-Bell and Julian & Toomre. In this paper we consolidate these two types of spirals into a unified description, treating density waves beyond the tight-winding limit, in the regime of shearing and nonsteady open spirals. This shearing wave scenario novelly captures swing amplification that enables structure formation above conventional Q thresholds. However, it also highlights the fundamental role of spiral forcing on the amplification process in general, whether the wave is shearing or not. Thus it captures resonant and nonresonant mode growth through the donkey effect described by Lynden-Bell & Kalnajs and, critically, the cessation of growth when donkey behavior is no longer permitted. Our calculations predict growth exclusive to trailing spirals above the Jeans length, the prominence of spirals across a range of orientations that increases with decreasing arm multiplicity, and a critical orientation where growth is fastest that is the same for both modes and material patterns. Predicted structures are consistent with highly regular, high-multiplicity gaseous spur features and long filaments spaced close to the Jeans scale in spirals and bars. Applied to stellar disks, conditions favor low multiplicity (m < 5) open trailing spirals with pitch angles in the observed range 10° < i

p
< 50°. The results of this work serve as a basis for describing spirals as a unified class of transient waves, abundantly stimulated but narrowly selected for growth depending on local conditions.
Investigating Model Dependencies for Obscured Active Galactic Nuclei: A Case Study of NGC 3982
Authors: Kallová Kristína , Boorman Peter G. , Ricci Claudio
Published: April 2024

X-ray spectroscopy of heavily obscured active galactic nuclei (AGN) offers a unique opportunity to study the circumnuclear environment of accreting supermassive black holes. However, individual models describing the obscurer have unique parameter spaces that give distinct parameter posterior distributions when fit to the same data. To assess the impact of model-specific parameter dependencies, we present a case study of the nearby heavily obscured low-luminosity AGN NGC 3982, which has a variety of column density estimations reported in the literature. We fit the same broadband XMM-Newton+NuSTAR spectra of the source with five unique obscuration models and generate posterior parameter distributions for each. By using global parameter exploration, we traverse the full prior-defined parameter space to accurately reproduce complex posterior shapes and inter-parameter degeneracies. The unique model posteriors for the line-of-sight column density are broadly consistent, predicting Compton-thick N
H > 1.5 × 1024 cm−2 at the 3σ confidence level. The posterior median intrinsic X-ray luminosity in the 2–10 keV band was found to differ substantially, however, with values in the range log L
2–10 keV/ erg s−1 = 40.9–42.1 for the individual models. We additionally show that the posterior distributions for each model occupy unique regions of their respective multidimensional parameter spaces and how such differences can propagate into the inferred properties of the central engine. We conclude by showcasing the improvement in parameter inference attainable with the High Energy X-ray Probe, with its uniquely broad, simultaneous, and high-sensitivity bandpass of 0.2–80 keV.
Morphology of Galaxies in JWST Fields: Initial Distribution and Evolution of Galaxy Morphology
Authors: Lee Jeong Hwan , Park Changbom , Hwang Ho Seong , Kwon Minseong
Published: April 2024

A recent study from the Horizon Run 5 (HR5) cosmological simulation has predicted that galaxies with

log

M

*

/

M

⊙

≲
10

in the cosmic morning (10 ≳ z ≳ 4) dominantly have disk-like morphology in the ΛCDM universe, which is driven by the tidal torque in the initial fluctuations of matter. For a direct comparison with observation we identify a total of about 19,000 James Webb Space Telescope (JWST) galaxies with

log

M

*

/

M

⊙

>
9

at z = 0.6–8.0 utilizing deep JWST/NIRCam images of publicly released fields, including North Ecliptic Pole Time-Domain Fields, Next Generation Deep Extragalactic Exploratory Public survey, Cosmic Evolution Early Release Science Survey, Cosmic Evolution Survey, UltraDeep Survey, and SMACS J0723-7327. We estimate their stellar masses and photometric redshifts with the redshift dispersion of σ
NMAD = 0.009 and an outlier fraction of only about 6%. We classify galaxies into three morphological types, disks,
spheroids, and irregulars, applying the same criteria used in the HR5 study. The morphological distribution of the JWST galaxies shows that disk galaxies account for 60%–70% at all redshift ranges. However, in the high-mass regime (

log

M

*

/

M

⊙

≳
11

), spheroidal morphology becomes the dominant type. This implies that the mass growth of galaxies is accompanied by a morphological transition from disks to spheroids. The fraction of irregulars is about 20% or less at all masses and redshifts. All the trends in the morphology distribution are consistently found in the six JWST fields. These results are in close agreement with the results from the HR5 simulation, particularly confirming the prevalence of disk galaxies at small masses in the cosmic morning and noon.