bluuebunny/crossref_metadata_2025 huggingface dataset:
How to be a good clerk on the clinical teaching team: a scoping review
Authors: Lively Jordan , Gasim Majid , Liu Qingfan , Lingard Lorelei
Published: April 2024

Background: As medical institutions shift towards Competency Based Education, more effort is being directed towards understanding how healthcare teams' function competently. While many have studied the competencies required to be a successful clerk, few have examined this question within the context of team function and integration. Our primary objective is to identify how medical clerks successfully integrate and contribute to clinical teaching teams.  
Methods: We performed a scoping review of the literature using the Ovid MEDLINE database.  Data was extracted and thematically analysed in accordance with Arksey and O'Malley's (2005) approach to descriptive analysis.
Results: Out of 1368 papers returned by our search, 12 studies were included in this review. Seven main themes were identified amongst the included studies: (1) Communication (2) Taking Responsibility and Appropriate Autonomy (3) Humility and Knowing When to Ask for Help (4) Identity as a Team Member, (5) Self-Efficacy (6) Rapport and Relationship Building (7) Patient Advocacy
Conclusion: Analysis of these themes revealed four major findings: (i) The importance of documentation skills and communication towards team contribution (ii) The important connection between professional identity development and self-efficacy (iii) The impact of rapport on the reciprocity of trust between team members (iv) The role of clerks as patient advocates is poorly understood. This review also illustrates that there is a relative dearth of literature in this area. Future studies are needed to develop clear guidance on how clerks should perform these competencies in the context of team function and integration.
Um modelo para avaliação do argumento de prova em contextos de ensino baseado em argumentação coletiva
Authors: Rodrigues Fredy Coelho , Monteiro Marco Aurélio Alvarenga
Published: April 2024

O presente estudo apresenta um modelo teórico-metodológico para avaliar a qualidade do argumento de prova em um contexto de ensino baseado em argumentação coletiva. O modelo combina os elementos de uma estrutura argumentativa a uma teoria que envolve os tipos e níveis de prova em Educação Matemática. O teste foi realizado junto a uma turma de alunos ingressantes em um curso de formação de professores em Matemática no Instituto Federal do Sul de Minas, durante o ano de 2023. Os dados foram coletados por meio de registros escritos e videogravação da produção coletiva em grupos. Os resultados mostraram que o modelo apresentado permitiu avaliar de forma eficaz a qualidade do argumento de prova, constituindo, assim, uma ferramenta para análise de dados em futuras pesquisas, além de ser um instrumento útil para o professor de Matemática avaliar o nível de prova dos seus alunos em sala de aula.
Revitalisasi Pengelolaan Sumber Daya Manusia melalui Sistem Informasi Terintegrasi
Authors: Mintawati Hesri , Simangunsong Bonse Aris Mandala Putra , Indrawati Indrawati , Azzahra Vinsa , Apriansyah Arip , Arfayan Elly , P Bintang Betari
Published: April 2024

Penelitian ini bertujuan untuk menyajikan tinjauan mendalam tentang revitalisasi pengelolaan sumber daya manusia (SDM) melalui penerapan sistem informasi terintegrasi (SIT) di lingkungan organisasi modern. Melalui analisis literatur yang komprehensif, kami mengeksplorasi efektivitas, manfaat, serta tantangan yang terkait dengan integrasi SIT dalam manajemen SDM. Metode penelitian yang digunakan melibatkan tinjauan sistematis terhadap berbagai artikel jurnal, buku, dan laporan terkait. Hasil penelitian menunjukkan bahwa penerapan SIT dalam pengelolaan SDM dapat meningkatkan efisiensi operasional, pengambilan keputusan berbasis data, dan kualitas layanan HR secara keseluruhan. Meskipun demikian, tantangan seperti resistensi terhadap perubahan, masalah keamanan data, dan kompleksitas integrasi teknologi tetap menjadi perhatian utama. Penelitian ini juga menyajikan rekomendasi praktis bagi organisasi yang ingin berhasil mengadopsi dan mengimplementasikan SIT dalam konteks manajemen SDM.
STUDY ON MECHANICAL PROPERTIES OF DEVELOPED ECO-FRIENDLY BRAKE PADS USING GRAY RELATIONAL ANALYSIS IN BOX BEHNKEN DESIGN OF EXPERIMENT
Authors: SJ Eziwhuo , CV Ossia , MM Ojapah
Published: April 2024

Over the years, asbestos has been a leading material for developing automobile brake pads. However, due to its hazardous nature to human health, many researchers have found that organic materials possess the potential for replacement. The organic materials used in this research were the hybrid of coconut fruit fibre CFF and oyster sea shell OSS. These materials were gathered from the river bank, dried, crushed, washed, ground, sieved, and moulded with different additives: CuO (abrasive), graphite (friction modifier or solid Lubricant), epoxy resin (binder), hardener (catalyst) by Box Behnken design BBD of L27 experiment. Therefore, an experimental test on mechanical properties was performed to check the developed brake pad's characterization. Then, grey relational analysis was used to analyze grey relational grade GRG to convert a multiple response process optimization problem into a single response optimization using maximization of maximum GRG. The optimum parameter values producing the highest value of grey relational grade were chosen as rank one, pertained to the factors setup for experiment number S3232 having moulding pressure of 11.25MPa, moulding temperature of 180oC, and heat treatment time of 180min. The optimized response values obtained from the experiment sample S3232 give the highest values on all the responses, i.e., density of 3.483g/cm3, hardness of 52.91BHN, compressive strength of 2.78MPa, ultimate tensile strength of 3.92MPa, impact energy of 17.87N, cold water absorption of 0.2863%, hot water absorption of 0.4785%, and oil absorption of 0.4402%. After that, the optimized brake pad sample (S3232) was applied to the automobile and was suitable for braking owing to its high mechanical properties.
Reinforcement Learning in Cyber Wargaming Defense
Authors: Tobias D’Andre , Chedzoy Joseph , Miller Joseph , Hwang Max , Geisler Trent
Published: April 2024

In recent decades the necessity for cyber security has grown for both private companies as well as government agencies. This growth is the result of increasing ability for organizations to mount cyber-attacks. As a response, organizations have been developing cyber defense artificial intelligence (AI), which greatly improves cyber-security capabilities. This ne- cessitates not only the development of cyber-attack, defense, and vulnerability frameworks to simulate a realistic environment, but also methods with which to train the AI. Further, the number and variety of networks necessitates a framework with which AI can be quickly and cost-effectively trained. This paper will explore how our team has worked to develop an efficient and comprehensive framework under which a variety of AI can be trained to fulfill the need for cyber resiliency.
The Role of Tecovirimat in the Management of Monkeypox
Authors: Prasetyo Ari Dwi , Harun Hudari  , Mega Permata  , Nelda Aprilia Salin
Published: April 2024

Monkeypox is a self-limited disease with symptoms that disappear within 14 to 21 days. Clinical management of monkeypox includes general supportive care and the use of antivirals that have activity against the monkeypox virus. This literature study aims to describe the role of tecovirimat in the management of monkeypox. Tecovirimat is an antiviral drug approved by the U.S. Food and Drug Administration (FDA) as part of the treatment management of smallpox in adults and children. Evidence of the efficacy of tecovirimat as mpox therapy was obtained from animal studies, where tecovirimat reduced mortality rates, reduced duration of illness and viral shedding. Tecovirimat inhibits the vp37 viral protein encoded by the F13 gene of the variola virus. This protein is highly conserved in orthopoxviruses, allowing tecovirimat to have in vitro activity against several orthopoxviruses, including vaccinia, variola, cowpox, and monkeypox viruses. In conclusion, tecovirimat is used in monkeypox sufferers with severe clinical conditions (sepsis, encephalitis, extensive lesions, bleeding manifestations), patients at risk of experiencing severe clinical conditions (immunocompromised, pregnant or breastfeeding, history of psoriasis, varicella zoster infection) and patients with one or more complications.
Revisión integrativa: experiencias que demandan acompañamiento en mujeres con cáncer de mama
Authors: Rangel Flores Yesica Yolanda , Palacios Colunga Cristina Mariel
Published: April 2024

Introducción: Diversos obstáculos se han señalado asociados con la implementación de protocolos de acompañamiento a mujeres que cursan con cáncer de mama, fundamentalmente por la predominancia de una perspectiva biologicista y biomedicalizante, así como con la ausencia de perspectiva para reconocer y atender demandas que se adscriben a lo psicológico, afectivo y sociopolítico. Objetivo: Identificar a partir de la revisión integradora de literatura científica, las experiencias psicosociales que demandan el acompañamiento en mujeres que cursan con cáncer de mama. Método: Se realizó una revisión integrativa, segmentando los hallazgos a partir de dimensiones que integran el acompañamiento psicosocial: emocional y psicológico, cuidado familiar y comunitario, sociopolítico y espiritual. Resultados: Se hizo una revisión de artículos publicados entre 2015 y 2022, indexados en nueve bases de datos internacionales. Fueron seleccionados 40 artículos publicados en 32 revistas de 7 países. Una vez realizado el análisis de contenido, se identificó que la mayor producción se ha dado sobre las experiencias emocionales y psicológicas y sobre las de cuidado familiar y comunitario, existe poca evidencia sobre las experiencias sociopolíticas y espirituales que podrían demandar acompañamiento. Conclusión: es conveniente fortalecer la evidencia en estas dos últimas áreas, con la finalidad de potenciar la posibilidad de un acompañamiento holístico.
Histomorphological Spectrum of Lung Lesions in Medico- legal Autopsy in a Tertiary Care Centre
Authors: Siddaganga S M  , Rajashree J Ingin  , Manish K  , Deepak Suntoore
Published: April 2024

Background:
Organ specific pathological changes seen during autopsy give a clear idea of the cause of death.
Lungs are one of the most important vital organs in the human body. They are almost always involved in terminal events of cardiovascular diseases.Autopsy is important not only to know the state of lungs but also to study the morphology of various diseases.Various studies have demonstrated that,20-30% of sudden deaths are due to underlying pulmonary pathology.
Aims and objectives: The significance of this study is to highlight the spectrum of histomorphological features of lung lesions in medico-legal autopsies irrespective of cause of death.
Material and Methods:This was a retrospectivestudy Medico legal autopsies over a period of 5 years carried out in the Department of Pathology in coordination with the Department of Forensic Medicine, Gulbarga Institute of Medical Sciences. Standard protocols are used for gross and histopathology processing.
Results: After thorough histopathological examination, of total 100 cases, various lesions were identified in 93 cases, in 7 cases tissue was autolyzed. Majority cases seen in the age group of 20-40yrs with male predominance. The most common cause of death was Road Traffic Accident (RTA) and majority victims were males. The commonly observed pathological features congestion and oedema(44.4%), Pneumonia(26.8%),CVC(22.2%) tuberculosis(9.6%) and ARDS(6.6%).
Conclusion: The present study observed and documented histomorphological spectrum of lung lesions in medico-legal autopsies and highlighted various pathological conditions which are either direct or indirect cause of death.
This study emphasizes that spectrum of histopathological changes in lungs of autopsy cases irrespective of cause of death and highlights some incidental interesting findings in lungs.
Age and Gender Determination using Maxillary Sinus and Sella Turcica on Lateral Cephalogram: A Retrospective Digital Radiographic Study
Authors: Pooja Devindrappa Naduvinkeri  , Syeda Arshiya Ara  , Manasi Yashwant Nandedkar  , Vaishali Chuniyani  , Manjunath R D
Published: April 2024

Background: Anthropometry is of immense importance in human identification and plays a major role in medico legal investigation of demise. Lateral cephalogram provides architectural, morphological details of skull and multiple points for comparison also presents various anatomical landmarks. The study aimed to evaluate morphometric analysis of Maxillary sinus& Sella turcica parameters in gender determination& age estimation.Methodology: The study included 300 digital Lateral cephalograms of age range 10-40 years divided in to 3 groups &50 males and 50 females in each age group. Linear measurement was performed for Maxillary Sinus Height, Width and Index & Sella turcica (ST) Length, Depth and Diameter. Results indicated that all the study parameters were found to be statistically significant in determination of age except Sella turcica depth. Maxillary sinus parameters & Sella turcica diameter, length showed significant corelation between age group Group-1 and Group-II. Maxillary sinus width, height& Sella turcica length was found to be statistically significant in determination of gender. Discriminant equation of MS width had highest accuracy of 63.7% in determination of gender.Conclusion: Lateral Cephalogram can be used to determine age and gender using linear measurements of maxillary sinus and Sella turcica.
Retrospective analysis of pattern of injuries and cause of death in unclaimed dead bodies brought to Mortuary of Private Medical Institute
Authors: Mohammad Abdurrahman Khan  , Manisha Verma  , Anoop Kumar Verma  , Sangeeta Kumari  , Mousami Singh
Published: April 2024

Introduction: Establishment of identity is required both in living and dead bodies and in both civil and criminal cases. Unclaimed body is defined as dead person who had no next of kin or no relative or no authorized representative willing to make final disposition of the remains.Aims and objective: The aim of this study was to determine the pattern and distribution of injuries and to find out the cause of the death in unclaimed bodies.Material and methods: In this retrospective study all the autopsies of unclaimed body from September 2018 to August 2022 were included.Results: A total 75 unclaimed body were brought to mortuary for autopsy. Out of 75 cases, 65 (87%) were male and 10 (13 %) were female. Majority of unclaimed bodies in this study belonged to age group 40-50. Contusion on the body was most common type of external injury. Lower limb was most common body part for external injuries. Skull was most common site for fracture. Temporal and temporoparietal were most common cranial bone fractured. Mandible was most common facial bone fractured. Liver laceration was most common internal organ injured in unclaimed bodies. Subarachnoid haemorrhage was most common intracranial haemorrhage. Most common cause of death in the present study was haemorrhage and shock due to antemortem injury.Conclusions: Identification of unclaimed dead body need to be increased by police workforce. Bodies which are unclaimed should be brought to mortuary just after prompt investigation so that autopsy should be started before decomposition which may interfere with autopsy finding and even in identification of the unclaimed body. Colour photography, DNA sampling, finger printing and maintaining dental records should be done for every unclaimedbody.
Penentuan Reorder Point dan Safety Stock pada Consumable Material Berdasarkan Peramalan Menggunakan Artificial Neural Network
Authors: Ridwan Ahmad Fauzi , Muhammad Ahsan
Published: April 2024

Ketersedian material guna mendukung kegiatan operasional sangatlah penting, salah satunya adalah kegiatan pemeliharaan pada PT. XYZ. Material-material consumable seperti oxygen, acetylene, elektroda las, dan lain-lain harus selalu tersedia demi menjaga keberlangsungan kegiatan pemeliharaan dan mencegah downtime yang lama. Namun dalam kenyataannya, sering kali material-material yang dibutuhkan mengalami stock out atau stok habis akibat tidak adanya penentuan nilai titik pemesanan kembali atau reorder point (ROP) dan stok pengaman atau safety stock (SS) berdasarkan peramalan permintaan. Material yang stock out akan menghambat pekerjaan pemeliharaan dan berpotensi membuat durasi downtime yang lebih lama. Untuk mengatasi hal tersebut, dibutuhkan analisis untuk meramalkan kebutuhan jumlah material dengan menggunakan metode peramalan deret waktu yaitu, ANN (Artificial Neural Network). Peramalan dari arsitektur terbaik akan menentukan jumlah masing-masing reorder point dan safety stock dari masing-masing material. Hasil yang didapat adalah pada material acetylene menggunakan arsitektur 12-2-1 dengan MSE sebesar 74.79, MAPE sebesar 18.37%, ROP sebesar 39 pcs, dan safety stock sebesar 24 pcs. Kemudian pada material oxygen menggunakan arsitektur 12-4-1 dengan MSE sebesar 224.11, MAPE sebesar 16.51%, ROP sebesar 181 pcs, dan safety stock sebesar 115 pcs.
Penentuan Strategi Pemasaran Pada Perusahaan Distributor Makanan Ringan
Authors: Larisang  , Herman  , Hasibuan Rizki Prakasa , Nurul Aprila Safira
Published: April 2024

Persaingan antar pasar industri dalam sektor makanan dan minuman semakin kompetitif. Hal tersebut dibuktikan dengan banyaknya perusahaan dalam negeri maupun luar negeri yang bermain dalam sektor makanan minuman dan selalu memproduksi jenis makanan dan minuman yang jenisnya beraneka ragam. PT X sebagai distributor produk makanan ringan perlu melakukan analisis strategi pemasaran yang dapat meningkatkan penjualan produk. Metode analisis yang sesuai digunakan dalam melakukan evaluasi terhadap kondisi ril perusahaan adalah metode Quantitative Strategi Planning Matrix (QSPM). Berdasarkan dari hail pegolahan data diperoleh nilai IFE sebesar 2,66 sedangkan untuk nila EFE sebesar 3,27. Pada matriks IE yaitu menempatkan perusahaan berada pada sel I yang disebut strategi tumbuh dan kembangkan. Kemudian hasil yang diperoleh pada matriks QSPM didapatkan alternative strategi yang paling menarik dan di prioritaskan untuk dilakukan perusahaan yaitu melakukan kerjasama dengan principle untuk mendistribusikan produk tic-tic ke toko retail online. Dengan nilai TAS 7,810. Strategi yang kedua yaitu memperluas jaringan distribusi ke toko retail yang ada di Batam dengan nilai TAS 7,221. Strategi ketiga membuat iklan di media sosial dengan nilai TAS 6,783. Dan strategi yang terakhir yaitu memberikan diskon dengan nilai TAS 6,158.
RESEARCH ON FACTORS AFFECTING THE CAREER CHOICE DECISION OF HIGH SCHOOL STUDENTS IN THAI NGUYEN PROVINCE
Authors: Bùi Ngọc Tuấn
Published: April 2024

This study evaluates factors influencing career choice decisions among high school students in Thai Nguyen province through statistical analysis. Results indicate that crucial factors affecting these decisions include labor market needs, career counseling, family influence, university factors, and personal preferences. Exploratory factor analysis identifies 5 significant factors, explaining 73.68% of data variance. Strong positive correlations are observed between career decisions and factors such as labor market needs, career counseling, family, university factors, and personal preferences. Additionally, a linear regression model predicts that labor market demand, career counseling, and university factors positively and significantly influence career choices, while personal and family influences show weaker correlations. Practical implications of this research include assisting educational institutions, families, and students in comprehending career decisions and formulating effective support strategies.
PENGEMBANGAN MEDIA LIFT THE FLAP MAP BERBASIS PETA DIGITAL MUPEL IPAS KELAS IV SDN SAMPANGAN 01 KOTA SEMARANG
Authors: Wardani Nita , Junaedi Akhmad
Published: April 2024

ABSTRAK
Penelitian ini bertujuan untuk mengembangkan media pembelajaran Lift the Flap Map berbasis peta digital mupel IPAS kelas IV SDN Sampangan 01 materi Kekayaan Budaya Indonesia. Penelitian ini berjenis Research and Development (R&D) dengan model Borg & Gall dengan tahap pengembangan yang disesuaikan dengan kebutuhan hingga menjadi 8 langkah. Hasil dari pengembangan yaitu media pembelajaran digital bernama Lift the Flap Map. Media ini dapat digunakan menggunakan perangkat komputer dan smartphone mode landscape yang terhubung dengan jaringan internet. Penggunaan dari media yang telah dikembangkan menghasilkan peningkatan hasil belajar siswa di kelas IV yaitu sebesar 31,3 pada nilai pretest menjadi 82,2 pada nilai posttest. Kesimpulan dari penelitian ini adalah penggunaan model Borg and Gall dalam jenis penelitian R&D sangat efektif dalam mengembangkan media Lift the Flap Map berbasis peta digital ini karena dapat meningkatkan prestasi belajar peserta didik kelas IV SDN Sampangan 01.
ABSTRACT 
This aims of this research is to develop learning media Lift the Flap Map based on a digital map of IPAS class IV SDN Sampangan 01, material on Indonesian Cultural Wealth. Type of this research is Research and Development (R&D) using the Borg & Gall model whose development stages were adjusted to needs into 8 steps. The result of this development is digital learning media which is named Lift the Flap Map. This media can be accessed via computer devices and smartphone mode landscape which is connected to the internet network. The use of the media that has been developed results in an increase in students learning outcomes in class IV, namely 31,3 in pretest and 82,2 in posttest. The conclusion of this research is that the use of the Borg and Gall model in this type of R&D research is very effective in developing media Lift the Flap Map based on this digital map because it can improve the learning outcomes of class IV students at SDN Sampangan 01.
Culture of Collaboration: How Madison County Government Drew from its Roots and used Rural Appalachian Values to Increase Government Participation through COVID Service Delivery
Authors: Kritz Jessica , Young Ross , Cody Tammy
Published: April 2024

This study employs a storytelling approach to describe how a small, rural county in southern Appalachia drew from its roots to combat a pandemic, and in the process increased its resilience. In Madison County, leaders supported their communities by developing cross-sector collaborations that dramatically increased public participation on issues that most affected the county: education access, community outreach, food security and COVID vaccination delivery. Leaders built upon cultural norms and values–honest intent, community spirit, kindness, helping neighbors, hard work, and self-reliance–to increase participation. The results are modeled as an intervention, a flowchart that includes prior county operational norms, cultural norms and values, new models for government operations, and impacts on service delivery. There is a particular focus on mechanisms, the often-unspoken psychological processes that supported the transition in government operations and community and individual participation. Employing storytelling techniques amplifies the explanation of how the processes increased the county’s resilience, and outlines a way of working that they will use to address existing and new complex challenges as they arise.
From Social to Collective Capital: Factors behind the Success of a COVID-19 Task Force
Authors: McKeague Laruen , Wenzel Sophie , Lemaire Robin
Published: April 2024

Social capital offers an important framework for understanding community disaster preparedness and resiliency at both the individual and community levels. Social capital also offers a lens for understanding interorganizational collaboration, particularly for public health disasters. Yet missing from the literature is an exploration of how social capital at the individual level may develop into collective capital at the group level, to then be leveraged for community public health disaster management. We conducted a mixed-methods case study of an emergent rural task force that formed to manage the COVID-19 pandemic. Using social network and qualitative analysis, we find that pre-existing relationships, leadership, goal congruence, and frequent meetings helped develop individual-level social capital into collective capital. The findings from this study have implications for strengthening the nexus of public health and disaster management and the creation of collective capital that can help communities better respond to future disasters.
Estudio Comparativo de Marketing Digital en Instituciones de Educación Técnica y Tecnológica Públicas y Privadas de Quito
Authors: Guizado Espinosa Sandra Paola , Tayupanta López Amparo del Consuelo , Andrango Moreta María del Carmen
Published: April 2024

El estudio comparativo de marketing digital en instituciones de educación técnica y tecnológica públicas y privadas de Quito busca analizar y comparar las estrategias, prácticas y resultados del marketing digital implementado por estas instituciones en el entorno digital. Con un enfoque tanto en instituciones públicas como privadas, el estudio examinará diversos aspectos del marketing digital, como la presencia en redes sociales, la interacción con la audiencia y el posicionamiento en el motor de búsqueda de Google. A través de la recopilación y el análisis de datos cuantitativos, se buscó identificar diferencias significativas entre las estrategias utilizadas por las instituciones públicas y privadas, así como también explorar su efectividad en términos de compromiso de la audiencia y resultados obtenidos. En sste sentido, se puede observar que los institutos privados realizaron un mayor numero de publicaciones alcanzando un promedio de tres publicaciones diarias; sin embargo, las publicaciones realizadas por los instituos públicos a pesar de ser menores en cantidad generaron un 24% más de reacciones que las de los privados. Finalmente se pudo comprobar que ninguno de los seis institutos analizados cuentan con estrategias de posicionamiento en el motor de búsqueda de Google ya que al buscar información sobre sus carreras los primeros resultados mostrados corresponden a la oferta educativa de otros institutos de educación técnica y tecnológica.
Estrategias para Mejorar la Calidad de la Educación en Zonas Rurales de Ecuador
Authors: Moreno Quinto Gissela Elizabeth , Moya Cuenca Ana Gabriela , Intriago Pilozo Sara Isabel , Arias Miño Rosa Marivel
Published: April 2024

La educación en zonas rurales de Ecuador enfrenta múltiples desafíos que amenazan su calidad y accesibilidad. Este estudio tuvo como objetivo analizar la situación actual y proponer estrategias para mejorar la calidad educativa rural. Mediante un enfoque cuantitativo, se evaluaron 400 instituciones educativas rurales en diferentes regiones del país. Los resultados revelaron bajos niveles de rendimiento académico, altas tasas de repitencia y deserción escolar, así como deficiencias significativas en infraestructura y recursos. El análisis estadístico identificó que la formación docente especializada, la disponibilidad de recursos y las condiciones socioeconómicas influyen directamente en el desempeño estudiantil. Sobre la base de estos hallazgos, se proponen estrategias integrales que incluyen el fortalecimiento de la formación docente, la mejora de la infraestructura educativa, la implementación de programas de apoyo socioeconómico y la adopción de enfoques interculturales pertinentes. Se recomienda un compromiso político y financiero, así como la participación de las comunidades locales para lograr una educación equitativa y de calidad en las áreas rurales de Ecuador.
Incidencia Ambiental De Las Fumigaciones Aéreas En Los Cultivos De Banano De La Hacienda Bella Unión Del Sitio Unión Colombiana Del Cantón Machala
Authors: Alvarado Ullauri Nathaly Jazmín , Hernández Ocampo Raquel Verónica , Maza Espinoza Dustin Valentino
Published: April 2024

La investigación tiene como objetivo determinar los impactos socio-ambientales ocasionados por las fumigaciones aéreas en bananeras aledañas al sitio la Unión Colombiana en la ciudad de Machala, bajo una metodología de enfoque mixto considerando el método descriptivo y analítico con un alcance de campo. La evaluación de impactos ambientales se realizó considerando la matriz de CONESA, estableciendo la afectación de las acciones del proyecto sobre los componentes del medio considerando 11 parámetros de valuación. Acorde a los resultados obtenidos a través de CONESA se determinó a los recursos suelo y agua como los componentes de mayor afectación, evidenciando la alteración físico-química de estos debido al uso de agroquímicos para el cuidado del cultivo de banano en la zona. Según estos resultados se empleó un muestro y análisis de los parámetros físico-químicos de los componentes suelo y agua; en los resultados obtenidos se observa la alteración de la conductividad eléctrica del suelo, siendo que, el resto de parámetros físico-químicos de suelo y agua permanecen en niveles bajos-normales considerando los máximos permisibles estipulados en el TULSMA. De acuerdo con los resultados obtenidos mediante la matriz de CONESA se observa la presencia de impactos ambientales graves en el área de estudio, sin embargo, a través del análisis de muestras se establece unicamente la variación de conductividad eléctrica del suelo, por consiguiente, se determina que los impactos socio-ambientales por fumigaciones aéreas son menores, siendo necesario una mayor profundidad del estudio.
Gestión Participativa Universidad Municipalidad para Implementar el Sendero Interpretativo Sostenible Misterioso Mishi Rumi – Perú
Authors: Polo Cerna Dora Alejandrina , Gordon Meza Ruth Escarlen , Chávez Calderón César Hildebrando , Fernández Rosales Ciro Walter
Published: April 2024

El objetivo fue gestionar participativamente universidad-municipalidad, la implementación del sendero interpretativo sostenible en el centro poblado Toclla-Huaraz, 2023. De tipo aplicada, enfoque cualitativo: investigación acción participativa; se aplicaron guías de observación y entrevista no estructurada, orientados por guías de diseño de senderos interpretativos, validada por Valderrama. Como resultado:1) Implementamos el sendero interpretativo sostenible misterioso Mishi rumi, con entrada en la intersección Pariac y Yerbabuena, llegada a erac huanca (estatuas de piedra con figuras humanas) lugar del mirador misterioso Mishi rumi, con salida por Puquio ruri, Plaza de armas de Toclla, 2) elaboramos mapas de ubicación, acceso y vistas, 3) descubrimos en el trayecto restos prehistóricos de wella coto, chinyac rumi (piedra que suena), mishi rumis (piedras en forma de gato), la flora y fauna, 4) colocamos señaléticas. Concluimos que la gestión participativa universidad-municipalidad, contribuye al ordenamiento territorial y promoción del turismo; el papel de la academia asumiendo su responsabilidad social, es de asesoría, motivación y acción, basada en los principios del turismo. Recomendamos apostar por el ecoturismo que incorpora conceptos de sostenibilidad, desarrollo socioeconómico, conservación del patrimonio natural y cultural; aplicándose la gobernanza y la articulación público-privada.
SYSTEM DEFENSE OF FORAGE SPECIES SUBMITTED TO LOW TEMPERATURES
Authors: Manetti Filho João , Gaspar de Oliveira Carolina Maria , Caramori Paulo Henrique , Sartori Altamara Viviane de Souza , Nagashima Getúlio Takashi , Hernandez Fernando Braz Tangerino
Published: April 2024

This work aims to evaluate the enzymatic system defense of forages exposed to low temperatures. The forage plants alfalfa, sorghum, black oat, marandu grass, pearl millet, mombasa grass, and Bermuda grass were subjected to temperatures of 0.2; -0.9; -1.8; -2.7; -4.1; -4.6 and -6.2 oC for 1 h in a growth chamber in a completely randomized design with six replicates for each species. From the crude leaf extracts were evaluated the enzymes ascorbate peroxidase (APX), catalase (CAT), and superoxide dismutase (SOD) activities. Regression analyses compared the treatments. The biochemical responses of forage species to cold stress are different. The enzymes APX and SOD would play an important role in the response to oxidative stress in the forage species black oat and mombasa grass. In marandu grass and sorghum, SOD was the main cell protector. Pearl millet had a positive stimulus in CAT production, Bermudagrass increases the protein content and SOD activity, and alfalfa increases the protein content and APX activity.
ACCOMPLISHMENTS AND FUTURE OF BIOLOGICAL CONTROL AND INTEGRATED CONTROL IN BRAZIL – PART 1
Authors: Sverre Hagen Kenneth
Published: April 2024

Efforts to biologically control insect pests in Brazil though modest in the past have in recent years been increasing, and the future possibilities of biological control are most promising if certain facilities and conditions are provided. We shall deal here mainly with biological control. Biological control is a natural ecological phenomenon. It is the regulation of plant and animal numbers by natural enemies. Natural enemies are parasites, predators and pathogens.
Optimalisasi E-Learning dengan Analisis Kelayakan Learning Management System TutorLMS untuk Startup Education Technology
Authors: Irji Rizqi Sabila  , Ardiansah Irfan , Yohari Amili
Published: April 2024

The world of education should rightly be the spearhead of a country's progress, with its diversity of learning as well as the means of supporting education itself. With the rapid development of science and technology which requires education to collaborate with the latest technology, there are more and more digital-based and online educational methods and media, one of which is the Learning Management System. Due to the demand to improve the quality of learning for students and teachers, online tutoring companies such as Nurstech.id must have a learning management system that can accommodate all online learning activities by relying on a Learning Management System. TutorLMS was chosen as an online educational medium that can accommodate all the students' online tutoring needs. The feasibility analysis carried out is an optimization of the TutorLMS application, available features, and an increase in company resources. The resulting TutorLMS application is to facilitate teaching and learning activities carried out by students and teachers. The features owned by TutorLMS help learning activities as support or learning media to make it easier for teachers to provide information and learning materials to students quickly and easily. Increasing company resources is directly proportional to improving the quality of tutoring as well as added value that can increase competitiveness with competitors. These results indicate that the application of learning media with the TutorLMS Learning Management System can be said to be good with added value and benefits obtained after the research is carried out. With these results, Nurstech.id needs to do several things to improve the quality of its tutoring performance by implementing the TutorLMS Learning Management System and maximizing the quality of its tutoring performance by using the tools provided by TutorLMS.
Perbandingan Metode K-Means Clustering Dan Metode Ward Dalam Mengelompokkan Pelangan Mall
Authors: Iklima Tia , Pujiyanta Ardi
Published: April 2024

Bagi setiap perusahaan pelanggan adalah aspek yang penting, apalagi dalam dunia bisnis. Karena pelanggan berperan penting dalam kemajuan perusahaan salah satunya Mall. Oleh karena itu perlu dilakukannya analisa lebih lanjut untuk menganalisis data pelanggan. Namun dalam menganalisa data pelanggan perlu menggunakan metode yang tepat dalam proses pengelompokan data pelanggan. Dalam penelitian ini dilakukan perbandingan dua metode yang berbeda, yaitu metode K-means dan metode Ward. Dataset yang digunakan dalam penelitian ini mengandung pola tingkah laku dari masing-masing pelanggan. Untuk menghitung jarak minimum dari setiap data dalam cluster digunakan Euclidean Distance. Data pelanggan yang digunakan yaitu data        pelanggan Mall, yang diambil dari data public pada platform  Kaggle.com, yang terdiri dari 5 variabel yaitu CustomerID, Gender, Age, Total Earning, dan Spending Score, dengan jumlah data dari masing-masing parameter ialah sebanyak  1000 data. Hasil penelitian menunjukkan bahwa metode K-means dan metode Ward dapat     diterapkan pada dataset yang digunakan. Hasil pengelompokkan didapatkan 4 kelompok pelanggan yang berbeda. Nilai akurasi pada masing-masing metode dilakukan pengujian dengan menggunakan metode Silhouette Coefficient. Hasil pengelompokkan data pelanggan dengan metode K-means untuk nilai s(i) sebesar 0.67. Sedangkan nilai s(i) sebesar 0.81 untuk metode Ward. Berdasarkan hasil penelitian, untuk mengetahui kelompok pelanggan berdasarkan tingkat kemiripan setiap objek, penggunaan metode Ward lebih baik dibandingkan dengan metode  KMeans dalam proses Clustering pada dataset pelanggan Mall.
Implementasi Metode LSTM Untuk Mengklasifikasi Berita Palsu Pada PolitiFact
Authors: Cardova Alvinus , Hermawan Arief
Published: April 2024

Fake news is an increasingly worrying issue in the digital age, as its spread has the potential to impact public perception and the democratic process. The information classified in this study consists of political claims assessed by Politifact, along with Politifact's evaluation of their accuracy. The purpose of this research is to create a fake news classification system concentrated on data from Politifact using Long Short-Term Memory (LSTM). The methods to be used include data collection from the PolitiFact.com website that provides fake news and fact news, followed by data labeling, Exploratory Data Analysis (EDA), data preprocessing, use of wordcloud visualization, data separation, LSTM model formation, evaluation, testing with new data to be classified. The data used amounted to 1500 news with the number of fact news as many as 34 and fake news as many as 1466. The results showed that the LSTM model was very good at classifying fake news in Politifact by being able to produce a very high accuracy rate of 97%. The ability of this model can be one of the right choices for classifying fake news and can be an invaluable tool in combating the spread of false information and supporting reliable media in disseminating accurate news to the public.
Analisis Tingkat Kepuasan Siswa Terhadap Penerapan SIPKALI Menggunakan Metode EUCS (Studi Kasus: Siswa Kelas 3 SMK Farmasi Ikasari)
Authors: Syahril
Published: April 2024

One area of education is information technology. Information technology is very important to the world of education and helps schools in many ways. Schools such as SMK Farmasi Ikasari have information systems that facilitate interns. The method used in my research is the EUCS method where there are 5 variables namely content, accuracy, format, ease of use and timeliness. Data obtained from a sample of 165 respondents using a questionnaire. The level of student satisfaction based on the EUCS variable in using SIPKALI was 0.396 or 3.96% while 60.4% was influenced by other variables not examined. Based on user satisfaction with the use of SIPKALI, there are 4 variables, namely content 62%, format 61%, accuracy 62% and ease of use 59% the indicators of these variables are greater agreement and in the category can be said to be high for these 4 variables and for the variable Timeliness 57%, the indicator for timeliness is also greater. Agree, but in the category of results, the percentage is less, so from this timeliness variable, users still feel dissatisfied with timeliness.
Peningkatan Pelayanan Laboratorium Dengan Memprediksi Kedatangan Pasien Menggunakan Metode Monte Carlo
Authors: Eko Syaputra Aldo , Eirlangga Yofhanda Septi , Sapriadi Sopi
Published: April 2024

The number of patient visits to the laboratory is unstable sometimes decreasing and increasing, when the increase in the number of visits to the laboratory makes everything disrupted because the number of patients who come is not proportional to the staff who are working / assigned at that time in the laboratory. So that some patients do not even get thorough service and even some patients wait too long in the queue. This causes services in the laboratory to be hampered, disrupted and become less than optimal. So the laboratory must be able to overcome this problem by knowing the number of visits to the laboratory in the future. So the researchers conducted this study with the aim of providing accurate information regarding the prediction of the number of patient arrivals to the laboratory with the application of the Monte Carlo Method. This method is a method that is often used to solve problems that are often related to uncertainty. The data used in this study is the last 3 years of patient arrivals to the laboratory with the frequency of arrivals from January to December. The results of this research are compacted accuracy of 87% in 2020 and 91% in 2021. So that the laboratory can take action on services in the future and make this research as a reference material.
Inovasi Interaktif Merancang dan Membangun Virtual Tour Asriloka Wonosalam Menggunakan Metode MDLC
Authors: Hendra Maulana  , Tri Lathif Mardi Suryanto  , Ronggo Alit  , Wardhani Lintang Sari Putri , Tsabita Safana Mustofa
Published: April 2024

Virtual tour (VT) technology is a virtualized digital technology that allows users to visit and explore locations without physically being there. This allows tourism owners to promote their tours using VT technology. One of them is Asriloka Wonosalam Ecotourism in Jombang, which is concerned with how potential visitors can see an overview of the facilities and atmosphere available. Through the Multimedia Development Life Cycle (MDLC) method, this paper aims to design and build Asriloka Wonosalam VT and then evaluate its application. This paper results in the design and creation of the Asriloka Wonosalam VT which has 3600 panoramic features, voice over information, text information, and a simple tour guide. The evaluation results show that 7 black box testing question items have a successful conclusion, finally the Asriloka Wonosalam VT was successfully created, implemented, and launched to support digital promotion.
Deep Learning Untuk Klasifikasi Kematangan Buah Mangrove Berdasarkan Warna
Authors: Mukhtar Harun , Alfanico Febrian , Fu’adah Amran Hasanatul , Handayani Fitri , Medikawati Taufiq Reny
Published: April 2024

Plants that live between land and sea, such as mangroves, are influenced by the tides and tides. Indonesia has the largest mangrove forest in the world and a variety of biodiversity and structure. People currently detect mangrove maturity by looking directly at the fruit. This study proposes to classify the maturity of mangrove fruit using artificial intelligence techniques, making it easier for farmers to determine the ripeness of the fruit. This proposal uses data from 200 images for mangroves taken directly from Lukit Village, Merbau District, Meranti Islands Regency. This research improves the Convolutional Neural Network (CNN) method to classify mangrove fruit maturity. The results obtained from this research were by classifying ripe and unripe fruit. Based on this research, accuracy reaches a maximum of 96%.
A TRAVESSIA DOS RIOS: TRILHANDO SABERES, EM MUNICIPIOS AMAZONENSES
Authors: Carvalho Joelma Monteiro de , Leão Aliziane Mata , Serejo Gizelly Sousa , Machado Andréa Sebastiana do Rosário Cavalcante , Silva Ana Cláudia Vasconcelos da , Araújo Carla Valentim Baraúna de
Published: April 2024

O presente texto apresenta experiências memoráveis no curso de Formação Continuada da rede pública de Ensino, por meio do Projeto Trilhas do Saber em três municípios do estado do Amazonas, ofertado pela Secretaria de Educação e Desporto – SEDUC, em parceria com o Centro de Educação Tecnológica do Amazonas - CETAM. Durante os dias de formação foi oportunizado palestra, com o tema Educação Escolar Indígena, uma abordagem socioemocional, em contexto contemporâneo, além de roda de conversa, minicurso e oficinas, como parte integrante da formação dos professores. Participaram profissionais da educação, tanto os administrativos (serviços gerais, vigias, merendeiros) como, gestores, pedagogos e professores. Como resultado, os profissionais apresentaram domínio dos conhecimentos aprendidos durante 16 horas de formação.
FATORES MATERNOS ASSOCIADOS AO BAIXO PESO DE RECÉM-NASCIDOS A TERMO NA REGIÃO DE SAÚDE SUL NO ESTADO DO ESPÍRITO SANTO
Authors: Canzian Keyla Dias , Lopes Isadora Pirschner , Sogame Luciana Carrupt Machado
Published: April 2024

RESUMO Objetivo: Verificar a associação do perfil sociodemográfico materno, condições da gestação e do parto com a ocorrência do baixo peso de nascidos vivos a termo, no período de 2014 a 2018, na Região de Saúde Sul no Estado do Espírito Santo. Métodos: Realizou-se uma pesquisa observacional transversal, com coleta retrospectiva, a partir de dados provenientes da Declaração de Nascidos Vivos da Secretaria de Estado da Saúde do Espírito Santo. Coletou-se informações quanto perfil sociodemográfico materno, condições da gestação. Realizou-se o teste do qui-quadrado. Resultados: As parturientes, em sua maioria eram casadas ou em união estável (75,27%), na faixa etária dos 20 a 35 anos (73,28%), com oito a onze anos de estudos concluídos (60,67%), em sua primeira gestação (98,9%), que não completaram o recomendado de consultas de pré-natal (99,5%) e tiveram o parto por cesariana (71,3%) realizados após a 38ª semana gestacional (90,8%), em ambiente hospitalar (99,76%). Verificou-se associação (p<0,05) do baixo peso ao nascer com os dados maternos: nível de escolaridade, situação conjugal, número de gestações, tipo de gestação, via de parto, número de consultas do pré-natal e idade. Conclusão: Percebe-se direta influência das características sociodemográficas maternas no risco de ocorrência de baixo peso ao nascer em neonatos a termo. Sendo assim, há a necessidade de efetivação das políticas públicas de saúde voltada para o atendimento integral da mulher, visando a saúde e qualidade de vida geral, e consequentemente, resultar assim em diminuição dos fatores de risco de saúde nos neonatos, como o exercido pelo baixo peso ao nascer.
JIGSAW NO ENSINO DE GEOGRAFIA
Authors: Leca Felipe Arcanjo , Machado Alan Kristian Nunes , Avelino Murilo Bezerra , Mafra Marcela Vieira Pereira
Published: April 2024

A metodologia Jigsaw ou quebra-cabeça é definida como uma estratégia de ensino ativa, baseada no princípio da aprendizagem cooperativa. O objetivo desse artigo é analisar o método Jigsaw de aprendizagem cooperativa como uma possível estratégia a ser utilizada nas aulas de geografia. A metodologia é quali-quantitativa, de caráter descritivo. A atividade foi desenvolvida em uma escola estadual da cidade de Manaus no âmbito do Programa Institucional de Bolsas de Iniciação a Docência (PIBID). Os resultados apontam a viabilidade do uso da metodologia Jigsaw, pois ela favorece o compartilhamento de informações entre os participantes.