bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dampak Ketidaklengkapan Sensus Rawat Inap Terhadap Efisiensi Penggunaan Tempat Tidur di Rumah Sakit
Authors: Retno Kusumo  , Riska Pradita  
Published: August 2024

Kegiatan Sensus Harian Rawat Inap adalah pencatatan atau penghitungan pasien rawat inap yang dilakukan setiap hari pada ruang rawat inap, berisi mutasi keluar masuk pasien selama 24 jam. Pengelolaan Sensus Harian Rawat Inap dapat digunakan untuk mengetahui tingkat efisiensi penggunaan tempat tidur BOR, AvLOS, TOI, BTO, dan pembuatan Grafik Barber Johnson. Berdasarkan studi di rumah sakit, sering ditemukan data sensus yang tidak lengkap maupun salah input, menyebabkan petugas kesulitan dalam menghitung efisiensi tempat tidur. Untuk itu, penelitian ini bertujuan mengidentifikasi penyebab ketidaklengkapan Sensus Harian Rawat Inap, serta dampaknya terhadap penghitungan efisiensi penggunaan tempat tidur. Jenis penelitian ini analisis kualitatif dengan desain cross sectional. Metode pengumpulan data melalui observasi dan wawancara. Analisis data dilakukan secara kualitatif. Hasil penelitian ini, terdapat 4 kasus form sensus harian rawat inap yang tidak lengkap dalam bulan Januari 2024. Pada umumnya ketidaklengkapan tersebut terjadi pada pasien pindahan antar ruang rawat inap yang tidak dicatat oleh petugas rawat inap. Hal ini mengakibatkan adanya selisih data pasien masuk dan keluar di ruang rawat inap, sehingga berpotensi terjadi kesalahan dalam perhitungan efisiensi tempat tidur yang dapat merugikan perencanaan kapasitas dan pengelolaan sumber daya di rumah sakit. Adapun faktor yang menyebabkan ketidaklengkapan pengisian sensus harian karena kurang telitinya petugas.
Guía general de estudio para la asignatura de: Seguros internacionales
Authors: Carchipulla Evelyn 
Published: August 2024

Estimados estudiantes:
Es un privilegio darles la bienvenida a este curso académico donde tendré el honor de guiarlos como docente en la asignatura "Seguros Internacionales". Este espacio está diseñado para proporcionarles una comprensión sobre los Incoterms y su rol significativo en la gestión de riesgos dentro del mercado global.
Exploraremos el cómo estos términos regulan la transmisión de riesgos y delinean las responsabilidades entre compradores y vendedores en el comercio internacional. A lo largo del curso, se abordarán las características esenciales y los diversos tipos de seguros, adaptados según la naturaleza de la mercancía, medios de transporte y las particularidades de las pólizas y coberturas. Así mismo, se estudiarán las diferentes cláusulas y su impacto en la cobertura de riesgos.
En este sentido, un componente fundamental del programa será el análisis de los principales convenios internacionales y normativas nacionales pertinentes a los seguros, incluidas aquellas reglamentaciones que emergen de medidas de defensa comercial. Además, se enfatizará en los aspectos jurídicos del transporte internacional, proporcionando a los estudiantes las herramientas necesarias para evaluar y calcular primas, así como para resolver ejercicios prácticos relacionados con estos temas. Al respecto, el curso se divide en tres unidades principales:
Unidad 1. El riesgo, el seguro y sus características: Esta unidad introduce los conceptos fundamentales del seguro y el riesgo, como base para los estudios posteriores.
Unidad 2. Contrato de seguro: Clases y/o modalidades: Se profundizará en las diferentes formas y modalidades de los contratos de seguro, con especial atención a sus aplicaciones prácticas en el ámbito internacional.
Unidad 3. Clasificación de los tipos de averías y pólizas: Finalmente, esta unidad se centrará en la diversidad de pólizas y las clasificaciones de averías, esenciales para manejar eficazmente los seguros en diferentes situaciones y contextos.
Esperamos que este curso no sólo enriquezca su conocimiento y comprensión de los seguros internacionales, sino que también fortalezca sus habilidades analíticas y prácticas para enfrentar los desafíos del comercio mundial. Les deseamos mucho éxito en sus estudios y en las aplicaciones futuras de los conocimientos adquiridos.
Atentamente,
Msc. Evelyn CarchipullaTecnológico Universitario de Formación
Guía general de estudio para la asignatura de: Marketing Digital
Authors: Portugal Gorozabel Jonatan Andrés 
Published: August 2024

Estimados estudiantes,
Es un privilegio darles la más cordial bienvenida al curso de Marketing Digital, una asignatura fundamental en el III Nivel de su formación académica. Este curso está diseñado para dotarles de un conocimiento teórico y práctico sobre las dinámicas del marketing en el entorno digital contemporáneo. Iniciaremos con los conceptos claves que conforman el ecosistema digital.
Exploraremos las plataformas y herramientas esenciales que interaccionan en el espacio digital, proporcionando una base sobre la cual podremos construir estrategias efectivas de marketing. Progresivamente, nos adentraremos en el ámbito del branding digital. Aquí, se estudiarán las técnicas y estrategias para desarrollar y mantener una identidad de marca sólida en Internet, examinando cómo las marcas pueden resonar eficazmente con su audiencia a través de medios digitales. Finalmente, dedicaremos una sección del curso a aprender cómo diseñar e implementar campañas de publicidad digital exitosas. Este módulo cubrirá desde la concepción de la campaña hasta la medición de su éxito a través de indicadores clave de rendimiento (KPIs), enseñándoles a crear anuncios que no solo captan la atención, sino que también convierten y fidelizan.
Al respecto, tenemos:
Unidad 1. El ecosistema digital: Esta unidad proporciona una visión general de los componentes que conforman el espacio digital, incluyendo una revisión de las principales tecnologías y plataformas que facilitan el marketing online.
Unidad 2: El branding digital: En esta unidad, profundizaremos en cómo las marcas pueden construir y gestionar su presencia online para generar un impacto significativo y sostenible.
Unidad 3: Publicidad digital: Esta unidad se centrará en las técnicas y estrategias para planificar, ejecutar y evaluar campañas publicitarias en el ámbito digital.
Nos comprometemos a proporcionarles una experiencia educativa enriquecedora y práctica, fortaleciendo sus habilidades para sobresalir en el campo del marketing digital.
Les deseamos mucho éxito en su aprendizaje y desarrollo profesional.
Atentamente,
Msc. Jonatan Andrés Portugal Gorozabel
Tecnológico Universitario de Formación
Musculoskeletal involvement in systemic sclerosis
Authors: Wielosz Ewa , Hyła Marcin Grzegorz 
Published: August 2024

Systemic sclerosis (SSc) is a multi-organ, systemic connective tissue disease, which affects the lungs, heart, gastrointestinal tract, kidneys, skin, and musculoskeletal system. Musculoske­letal involvement is observed in 40–90% of patients with SSc. During the disease, any structure of the musculoskeletal system, such as bones, joints, tendon sheaths, tendons, and muscles, may be affected. The most common symptoms include joint pain, arthritis, tendinitis leading to tendon rupture, acro-osteolysis, calcinosis, myalgia, and myositis. Osteo-articular complications and changes in the soft tissues of the hand lead to finger contracture, which causes deterioration of the patients’ quality of life and disability. To sum up, a more detailed understanding of the aetiology leading to progressive changes in the musculoskeletal system may contribute to the introduction of new therapeutic options, and thus improve the quality of life and reduce disability in patients with SSc.
Evaluating the effect of histopathological parameters of prostate adenocarcinoma on prognosis in radical prostatectomy specimens
Authors: Tercan Ergün , Erbatu Oguzcan , Ücer Oktay , Metin Sefa , Nese Nalan 
Published: August 2024

BACKGROUND:
Over the past decade, significant updates have been made regarding the classification and grading of prostate adenocarcinoma in radical prostatectomy specimens, following decisions reached in international conferences and through impactful publications. These alterations are closely linked to patient prognosis.

OBJECTIVES:
Observe the incidence of these changes and their impact on patient prognosis. Additionally, investigate the relationship between histopathological and clinical parameters to assist in multidisciplinary treatment planning.

DESIGN:
Retrospective cohort study

SETTING:
Tertiary university hospital

METHODS:
Hematoxylin and eosin, along with immunohistochemistry stained sections, were reevaluated, and clinical information, including patient demographics, preoperative PSA levels, and patient follow-up were collected from patients who underwent radical prostatectomy at our center.

SAMPLE SIZE:
182 patients.

MAIN OUTCOME MEASURES:
Biochemical recurrence.

RESULTS:
The study highlighted the negative prognostic effects of factors such as Gleason grade group, lymphovascular invasion, intraductal carcinoma, positive surgical margins, extraprostatic extension, pathological T stage, and seminal vesicle invasion. These factors are important determinants of recurrence-free survival in prostate adenocarcinoma patients.

CONCLUSION:
This study identified comedonecrosis and intraductal carcinoma as independent negative prognostic factors. A 3-mm cutoff for positive surgical margins was supported, while the current cutoff for extraprostatic extension may require reevaluation. The impact of cribriform pattern and ductal carcinoma appears to be influenced by the grade group. No independent relationship was found between the Gleason score/pattern on positive surgical margins or extraprostatic extension and prognosis. Further, large-scale studies with long-term follow-up are needed.

LIMITATIONS:
The study is limited by the relatively small number of patients for certain parameters.
OPTIMALISASI PEMBELAJARAN BAHASA ANAK USIA DINI MELALUI PENDEKATAN STIMULASI GURU PENDIDIKAN AGAMA KRISTEN
Authors: Supit Sugijanti 
Published: August 2024

Penelitian ini bertujuan mengekspplorasi penggunaan pendekatan stimulasi oleh guru PAK dalam upaya mengoptimalisasi suatu cara belajar tentang bahasa pada anak usia dini. Integrasi pendidikan agama Kristen dan pembelajaran bahasa adalah suatu atensi penting dalam rangka mencapai orientasi pembelajaran pada bidang kognitif, afektif, spikomotorik,sosial bahkan spiritual anak usia dini. Penelitian ini menggunakan metode kualitatif deskripsi dengan teknik kajian literatur terkait optimalisasi penggunaan bahasa untuk anak usia dini. Hasil penelitian menunjukkan bahwa stimulasi perlu dilakukan oleh guru PAK dalam rangka mengoptimalisasi pemebelajaran bahasa untuk anak usia dini dengan cara yang kreatif, ekspresif, inovasi melalui seni, dramatisasi, permainan, dll.
Prevalence and Demographic Determinants of HIV Pre-Exposure and Post-Exposure Prophylaxis Use in Khwisero Sub-County, Kenya
Authors: Abdallah Abubakar Gurre , Olayo Rose Nereah , Cholo Wilberforce Odiwuor , Kapanga Ruth Razanajafy 
Published: August 2024

Human Immunodeficiency Virus (HIV)/Acquired Immunodeficiency Syndrome (AIDS) continues to be a major global public health threat despite the availability of biomedical prevention strategies such as HIV PrEP and PEP. Despite their efficacy, utilization rates are low among youths aged 15–24, who account for approximately 27% of new infections globally and 33% in Kenya. While the determinants of HIV PrEP and PEP use have been studied among men who have sex with men, female sex workers, adolescent girls, and women, research focusing on young adults is limited. Guided by the Health Belief Model, this study assessed the factors that dictate the usage of HIV PrEP and PEP among the youth between the ages of 18 and 24 years in Khwisero Sub-County, Kakamega County, Kenya. This study adopted a descriptive and analytical cross-sectional research design. The target population consisted of young adults from the ages of 18 to 24. The sample size was determined using the Taro Yamane formula, which arrived at 426 participants. Data was collected using semi-structured questionnaires. The Statistical Package for Social Sciences version 26 was used to analyze quantitative data through descriptive and inferential statistics, including chi-square and logistic regression at a significance level of 0.05. The study revealed a low prevalence of PrEP (23.4%) and PEP (22.6%) utilization. Significant determinants of PrEP use included education level (χ2 = 8.1, OR = 0.21, P = 0.04) and religion (χ2 = 5.0, OR = 0.40, P = 0.03). Factors affecting PEP utilization encompassed education level (χ2=17.76, OR=0.43, P<0.001), marital status (χ2=6.47, OR=0.33, P=0.04), and living arrangement (χ2=9.91, OR=1.95, P<0.001). Based on these findings, it is recommended that additional levels of health education interventions and culturally appropriate campaigns be carried out in order to increase the usage of PrEP and PEP among young adults.
The Effect of Health Education With Puzzle On Dengue Hemorrhagic Fever's Prevention Behavior of School Aged
Authors: Lestari Ratna , Putri Fadila Septiana , Yusriana  
Published: August 2024

Demam Berdarah Dengue merupakan penyakit infeksi yang disebabkan oleh virus dengue yang ditularkan melalui gigitan nyamuk Aedes aegypti. Sekolah menjadi sasaran dalam upaya pencegahan DBD, dikarenakan sekolah menjadi tempat yang berpotensi untuk terjadinyapenyebarandan penularan DBD. Upaya pencegahan DBD disekolah, diberikanmelalui pendidikan kesehatan pencegahan DBD menggunakan media puzzle. Penelitian ini bertujuan untuk mengetahui ada pengaruh tingkat pengetahuan, sikap, dantindakan pencegahan DBD sebelum dan sesudah diberikan pendidikan kesehatan menggunakan media puzzle pada anak kelas IV & V Di SD N Sewon 1 Bantul Yogyakarta. Penelitian ini merupakan penelitian kuantitatif dengan desain Pre Eksperimen pendekatan one group Pre test - Post test. Sampel dalam penelitian ini adalah anak kelas IV & V yang belum pernah mengalami DBD sejumlah 52 siswa dengan pengambilan sampel menggunakan teknik total sampling. Tingkat pengetahuan, sikap, dan tindakan pencegahan DBD diukur menggunakan kuesioner yang diberikan sebelum dan sesudah pendidikan kesehatan menggunakan media puzzle. Hasil analisis data menggunakan uji Mc Nemar, didapatkan tingkat pengetahuan pencegahan DBD dengan nilai p 0.013(p<0,05), sikap dengan nilai p 0,000 (p<0,05), tindakan p 0,002 (p=0,05) artinya adanya pengaruh pendidikan kesehatan menggunakan media puzzle terhadap tingkat pengetahuan, sikap, dan tindakan pencegahan DBD. Diharapkan sekolah memberikan edukasi kesehatan dengan topik yang berbeda menggunakan media puzzle.
IOT Based Induction Motor Health Surveillance System by Detecting Vibrations and Monitoring Temperature
Authors: Kaushalya Thopate  
Published: August 2024

To extend the security, lifetime, and vitality effectiveness of engines, the energetic behavior of the turning shaft must be examined. Shaft vibrations must be checked amid operation in arrange to optimize rotor plan and certify engine execution. Moreover, the energetic behavior of the rotor must be assessed. Shaft vibrations must be measured amid operation in arrange to optimize rotor plan and approve numerical models. Be that as it may, measuring the shaft's vibration amplitude and recurrence may be a troublesome issue for metrology since the shaft turns and noncontact estimations are essential. To fathom this issue, we show a estimation framework comprising of vibration sensor SW-420 and NodeMCU ESP8266 must be mounted on engine. These sensors simultaneously measure the vibrations produced as well as heat produced by motor. Temperature sensor DHT11 is also used to track the heat produced by the motor so that it would not exceed the range given for prolong usage of motor. The NodeMCU ESP8266 connects to a ThingSpeak server through Wi-Fi to transmit the values in real-time the server stores and displays the data on a graphical dashboard, allowing users to monitor vibration and temperature. The project demonstrates the feasibility of low-cost and efficient air quality monitoring using readily available hardware and software tools. The results of the experiments show that the developed motor surveillance can provide accurate and reliable measurements of various amplitude, frequency, celius, thus contributing to environmental sustainability and public health.
Stability and Bifurcation in a Second-Order Difference System
Authors: Smitha Mary Mathew  
Published: August 2024

In the paper, we examine the system

(1)

where are positive real numbers and the initial conditions are arbitrary nonnegative numbers. We investigate the persistence, boundedness, convergence, invariance, and global asymptotic character of the positive solutions of (1). Bifurcation diagrams are then plotted to visualize the periodic character.
Revolutionizing Electrochemical kinetics: Homogeneous Redox Catalysis unveiled through an innovative mathematical framework using the Homotopy Perturbation Method
Authors: Saranya.K  
Published: August 2024

Introduction: In Redox homogeneous catalysis the catalyst couple merely plays the role of an electron in contrast with chemical catalysis. The mathematical modelling of homogeneous redox catalysis of electrochemical reactions for the EC scheme is described by the system of second order non-linear differential equations. This model was initially designed using the classical differential equations and it is extended to the Caputo fractional derivative (FDE’s) of order in particularly sequential fractional case. The aim is to obtain approximate analytical solutions of the system of FDE’s using Homotopy Perturbation method (HPM) and analyze the impact of various parameters with different order of . In addition, the solution of the sequential dynamic equations yields the solution of the corresponding integer-order differential equations as a special case.
A Study On Job Change Decision Making Of Peoples By Multi Objective Optimization Technique In Neutrosophic Environment
Authors: C. Jayabharathi  
Published: August 2024

Introduction: The article explores the employment preferences of specific area workers in Tamil Nadu. A person's choice of job refers to the profession that best suits him or her. In this competitive environment, changing careers can be a difficult option for professionals.
Objectives: If expectations and experience on the job don't match, which causes dissatisfaction, frustration, unhappiness, subpar work output and the need to look for another job. This study discusses the career choices made by particular area workers in the Virudhachalam and Cuddalore district.
Methods: The integrated methodology in the Neutrosophic fuzzy set was used to conduct this investigation. Here, Neutrosophic entropy plays a role in determining how the constraints (parameters) are weighted. Least Eigen Neutrosophic Fuzzy Set (LENFS) and Greatest Eigen Neutrosophic Fuzzy Set (GENFS) were used to evaluate the problem's objective. For the problem, there are six objectives with respect to the six constraints that have been determined.
Results: We can figure out the range of satisfied, abstain, and unsatisfied levels for the objectives in relation to the restrictions using the values derived by GENFS and LENFS.
Conclusions: We would learn from the survey that individuals are pleased and would desire to work for the government. In addition, the survey found Neutrosophic technology to be highly beneficial.
The Bounds of Energies of Rough Complemented Graph
Authors: B.Praba  
Published: August 2024

The main objective of this paper is to study the various energies and their bounds of the Rough complemented graph corresponding to the given Rough semiring. In this paper, for a given approximation space I=(U,R) where U is the nonempty finite set of objects and R is an equivalence relation on U, the Rough semiring (T,∆,∇) is taken for study. The Rough complemented graph of T denoted by GRC(T) is a graph whose vertices are V(GRC(T))={RS(Y)|Y∈〖℘(E)〗^1 } be the set of equivalence classes induced by I and two distinct vertices RS(X) and RS(Y) are adjacent iff RS(X)∇RS(Y)=RS(∅). Note that there will be 2^n-2 vertices in GRC(T). Also Randic, seidel, minimum dominating, maximal independent and dominating energies of GRC(T) are obtained, the lower and upper bounds of these energies are also established. These energies are obtained through Python programming, and a bar diagram is used to conduct a comparative study for various values of n. All the illustrated concepts are explained with suitable examples.
Innovations in Geospatial Data Analysis: Applied Nonlinear Analysis, Remote Sensing, AI, and GIS for Environmental Sustainability
Authors: C. Sudha  
Published: August 2024

Abstract: Water mapping plays a pivotal role in sustainable water resource management, particularly in the context of escalating climate change impacts. This study addresses the critical need for accurate water level predictions by introducing an innovative ensemble machine learning (ML) approach. Motivated by the increasing importance of ML and mathematical models in geospatial data analysis, the research papers from the diverse database, revealing a research gap that includes the absence of standardized methodologies and the exploration of diverse ensemble methods. Leveraging the EuroSat dataset for land use and land cover classification, the proposed ensemble model combines Principal Component Analysis, Genetic Algorithm, Gradient Boosted Decision Trees, Frequency Ratio, Deep Neural Network, and Shannon's Entropy. Demonstrating superior accuracy at 98.5%, Precision at 90.4%, and recall at 92%, EnsembleML emerges as a robust solution, emphasizing the advantage of ensemble techniques for comprehensive water mapping in the face of environmental challenges.
An Improved Mathematical Model by Applying Machine Learning Algorithms for Identifying Various Medicinal Plants and Raw Materials
Authors: Srinivasa Babu Kasturi  
Published: August 2024

The utilization of medicinal plants holds significant promise for healthcare and pharmaceutical applications. However, the accurate identification of diverse plant species or raw materials can be challenging, necessitating innovative solutions. This project presents a novel approach for the Recognizable proof of Therapeutic Plants or Crude Materials through Picture Preparing, utilizing progressed Machine Learning Calculations. with a wealthy legacy of flower differing qualities, is well-known for its medicinal plant resources, but distinguishing evidence is one of the most challenging challenges in Ayurvedic Pharmaceutics. Some unrefined drugs are sold under the same name on the marketplace, causing confusion and misidentification. Indeed, collectors and dealers are not entirely aware of the distinct morphological appearance or differentiating qualities of the numerous substances due to their frequent and geographical accessibility, as well as comparable properties. In this technique, a computer capable of differentiating diverse medicinal plants/raw materials using Image Preparation Using Distinctive Machine Learning Calculations would be quite beneficial. It will be helpful at every stage of the supply chain of crude cloth being used within the framework. Herre the picture preparing strategy is considered as the most strategy for classifying diverse plants of diverse characteristics or particular parcels or locales of the plant clears out which can be at that point recognized through picture handling. Distinguishing proof of plants through plant takes off on the premise of their shape, colour, and surface highlights utilizing computerized picture handling methods for classifying the plant species utilizing diverse machine learning calculations. This investigates work incorporates checking on numerous pictures preparing strategies to utilize machine learning to recognize different plants utilizing it take off highlight within the shape of a picture...