bluuebunny/crossref_metadata_2025 huggingface dataset:
Survey on Trends, Challenges, and Opportunities of Honey Production and its Marketing System in Hawa Gelan District Kellam Wollega Zone Western Ethiopia
Authors: Yue Liangwen , Wu Chunyou , Zhang Mier , Huang Qiushuang
Published: April 2024

The study was conducted in Hawa Gelan District, Kellem Wollega of Western Oromia national regional state, Ethiopia to assess trends, challenges and opportunities of honeybee production and marketing systems. Structured questionnaire was employed for the study. The cross-sectional study design were carried out by using desk research, interviews, surveys and visual observation as methods in seeking answer to research questions. Purposive (district), simple random (Peasant Associations) and Census (beekeepers) sampling techniques were employed to select 96 beekeepers from two Peasant Associations. The collected data were analyzed by using SPSS version 20. In the study area, three types of honeybee production practices were identified, namely: Traditional, Intermediate and Movable frame hive honeybee production practices. The result shows most 69.79 % of beekeepers in the study area have owned only traditional bee hives. As a result the average annual honey produced per households was very low which estimated 93 kg in 2015. The average amount of honey harvested /hive/year from traditional hive, transitional hive and modern hive were 4.32±0.042kg, 9.83±1.05kg and 14.2±2.52kg respectively. The mean yields obtained from the three hives were statistically significant at (p < 0.05). From the beekeepers (64.6%) and (59.3%) have declared that deceasing trend of honey production and colony number from time to time respectively. Honey marketing participants were consumers (35%), retailers and consumers (31%), retailers (24%) and collectors (7.5%). The most important constraints, as beekeepers responded in their order of sequence were pests and predators (41.30%), poisoning of agro-chemicals (23.60%), high cost of modern hives and accessories (11.20%), shortage of bee forages (9.40%), low quality of honey products (7.20%), Poor infrastructure development (5.30%) and other factors (2.0%) were identified respectively. Despite of these, there are also future opportunities like presence of huge number of bee colonies (32.5%), availability of diverse vegetation plants and ample sources of water (21.70%), increasing demand of local honey (17.65%), presence of good government policy (9.0%) and others factors (19.15%). Further study is required to characterize honey bees of the area, quality of honey, major pests, predators and disease of economic importance. However, improving honey bee production techniques is important.
Dynamic Analysis of the Growth of Building Area and the Immigrant Population in Shanghai based on the PVAR Model
Authors: Zhou Zijing
Published: April 2024

Since the reform and opening up more than 30 years ago, Shanghai has witnessed rapid development of economic and continuous acceleration of urbanization and continuous growth of building area. However, the number of migrants has decreased over the same period, which is inconsistent with previous studies that show that population affects land demand and floor space. In this paper, panel data of each district of Shanghai from 2014 to 2018 are selected and the panel vector autoregression model (PVAR model) is constructed to analyze the dynamic relationship between the building area growth of each district of Shanghai, the immigrant population and the economic growth. The results show that : (a)There is no long‐term equilibrium relationship between the growth of Shanghai's floor area and the migration of foreign population. (b) The construction area growth in Shanghai can affect the regional GDP growth to a certain extent. (c) The migration of migrants into Shanghai has a certain effect on the economic growth of Shanghai.
The Construction of College‐enterprise Cooperation Training System for Improving College Students' Innovative and Practice Ability
Authors: Cheng Jing , Qin Lei , Zheng Rongwei
Published: April 2024

With the continuous deepening of the country's reform and opening up, the country's science and technology and national economic level have been greatly developed. In terms of education, the government have put forward higher requirements. In addition, the government currently recommend that major universities in my country build a "school‐enterprise cooperation" talent training mechanism to improve the country's modernization and comprehensively improve our national cultural quality. Therefore, in this context, the article analyzes in detail the construction of the university‐enterprise cooperation training system for the improvement of college students' innovation and Practice ability. First, the article briefly outlines the significance of school‐enterprise cooperation in cultivating college students' innovative and Practice ability, secondly summarizes the current problems of China's school‐enterprise cooperation in cultivating college students' innovative and Practice ability, and finally puts forward several targeted strategies for the current problems. Improve the level of "school‐ enterprise cooperation" talent training mechanism in Chinese universities.
Current Situation and Countermeasures of College Students' Psychological Cognition of Ideological and Political Theory Course in the New Era
Authors: Xiao Mengqi
Published: April 2024

At the Symposium of school ideological and political teachers, it was pointed out that the teaching of Ideological and political theory course cannot be separated from the guidance of teachers. At the same time, we should increase the research on students'cognitive laws and acceptance characteristics, and give full play to students'subjective role. Taking the "the generation after 00s" college students as the research object, this paper explores the current situation of College Students'psychological cognition in the new era [1]. In adjusting the teaching strategy of Ideological and political theory course, teachers formulate the teaching plan of Ideological and political education according to the characteristics of students'psychological cognition, integrate the elements in line with the psychological characteristics of college students in the new era into the teaching classroom, and carry out educational activities in a way more acceptable to students. This is the internal logic of the teaching reform of Ideological and political theory course, It is also an inevitable requirement for college students to grasp the initiative of Ideological and political education and give full play to their subjective role in the new era.
Exploration and Practice of Narrative Moral Education in Primary Schools
Authors: Yang Suhuan
Published: April 2024

In combination with the key experimental project of Guangdong Province "Research on Narrative Moral Education Model in Primary Schools" carried out by the school, this paper carries out theoretical discussion according to the application principles of narrative moral education, analyzes the meaning of narrative moral education, determines the research objectives and contents of the project, formulates research approaches, proves the necessity and importance of narrative moral education research through practice, and also raises the understanding of research on narrative moral education.
Phytosociological study of weed flora in garden land ecosystem in Madagadipet, Puducherry, India
Authors: Prasath V Rajendra , U. Karthiga  , K. Niranjana
Published: April 2024

Phytosociological study was carried out to estimate the dominant of weed flora in garden land eco-system under varying climatic conditions. The survey was conducted at Sri Manakula Vinayagar Engineering College, experimental farm, Department of Agronomy, Madagadipet during 2023. Trianthem aprotulacastrum, Dactylenoium aegyptium, Phyllanthus niruri, Cleome viscosa, Physalis minima were the most densed weeds. Importance Value Index (IVI) computed for individual weed species at Madagadipet indicated that Trianthem aprotulocastrum was the predominant weed species with highest relative density of 32.9, relative frequency of 16 per cent and importance value Index (IVI)of 71.56. All other weed species were low in IVI and also rare in their occurrence with lesser frequency.
Morfometria de Bananeira Nanica em seu primeiro ciclo vegetativo: efeitos da adubação com pó de rocha de diferentes origens
Authors: Araújo Dayane Aparecida de Oliveira , Corrêa Jessiane dos Santos , Rodrigues Allieksiei Castelar Perim Souza , Rodrigues Tatiana Tozzi Martins Souza
Published: April 2024

O objetivo do trabalho foi determinar o incremento da altura da planta (IAP), incremento da circunferência do pseudocaule (ICP) da bananeira nanica, e teores de nutrientes no solo, adubados com pós de rocha (PR) adicional à adubação química. As áreas receberam gnaisse, kamafugito e piroxenito em doses e forma de aplicação distintos. As avaliações foram realizadas após 3, 6, e 9 meses do transplantio. A análise química do solo foi realizada ao 3º mês. A bananeira respondeu com aumento do IAP e ICP com a adição do PR. A aplicação do PR em área total é desejável devido às características do sistema radicular da planta. As áreas com piroxenito e kamafugito apresentaram melhor equilíbrio de bases. Todos os PR forneceram K, o priroxenito e kamafugitos forneceram P. O PR é uma alternativa viável para redução de fertilizantes químicos na cultura da banana.
Intervenções no contexto do acolhimento institucional: uma revisão integrativa
Authors: Santos Gabriela de Araújo Braz dos , Guedes Anna Clara de Oliveira , Peixoto Ana Cláudia de Azevedo
Published: April 2024

As instituições de acolhimento fazem a travessia dos adolescentes de uma situação de vulnerabilidade para um programa de garantia de direitos. No entanto, muito tempo de institucionalização combinado com suas histórias prévias podem causar sérios comprometimentos. A partir disso, a presente pesquisa foi norteada pela dúvida de quais temas são discutidos em programas de intervenção no contexto do acolhimento institucional e como se dão sua aplicação. Buscou-se realizar uma revisão integrativa nas bases de dados digitais previamente escolhidas. Ao todo foram identificados 749 artigos e, seguindo os critérios de inclusão e exclusão, foram analisados 9 artigos ao final. A fim de favorecer a interpretação dos resultados, criou-se três categorias: 1. Desenvolvimento de competências da equipe técnica; 2. Fortalecimento dos adolescentes em suas capacidades para superação das vulnerabilidades no período de acolhimento institucional; e 3. Relações insatisfatórias e rompimento nos vínculos. Por meio dos dados obtidos, pode-se afirmar que intervenções neste contexto precisam considerar as necessidades dos adolescentes, de modo que é essencial pensar nas competências dos profissionais que atendem tal público.
Influence of Vocational Theory Competency Test Results on Vocational Practice Competency Test Results
Authors: Koloway Robyn , Ronga Wendhel , Sumual Herry , Olii Djami , Takaredase Agustinus
Published: April 2024

This study aims to determine how much the results of the theory of vocational competency tests are related to the results of the vocational practice competency tests of TITL students at SMK Negeri 2 Manado. In addition, this study also analyzed how relevant the vocational theory competency test material was to the vocational practice competency test material. The method used in this study is a quantitative method with 56 students as research subjects. In practice, the researchers found that some students already understood electric motors, and some did not understand when the researchers gave practice; as a result, these students did not understand when the researcher or teacher was giving theory to them. When researchers teach theory and practice, they often provide post-tests or questions for students to work on to see whether they comprehend correctly. The results showed a positive and significant effect on the results of the vocational theory competency test and the results of the vocational practice competency test. In addition, the results of the analysis of the relevance of the material in the theory of vocational competency tests to the results of the vocational practice competency tests were 70% in the relevant category.
Penerapan Case-Based Learning Meningkatkan Hasil Belajar Elektronika Dasar Pemelajar SMKN 1 Tomohon
Authors: Mamahit Calvin , Wungow David , Ticoh Janne , Memah Viverdy , Angmalisang Harrychoon
Published: April 2024

Abstrak— Penelitian ini menggunakan metode pembelajaran berbasis kasus (case-based learning) untuk meningkatkan hasil belajar pemelajar SMK kelas X TITL. Pembelajaran berbasis kasus merupakan suatu teknik untuk meningkatkan pemikiran tingkat tinggi ketika memecahkan suatu kasus. Pengetahuan pemelajar dalam mengemukakan pendapat dapat lebih baik dalam proses pendidikan; pemelajar kurang mampu mengeksekusi informasi yang diberikan pembelajar, dan rendahnya pengalaman kelompok pemelajar dalam sesi Elektronika Dasar. Hal ini digunakan dalam skenario dan studi masalah dalam pembelajaran berbasis kasus untuk meningkatkan pengetahuan dan kemampuan penalaran pemelajar dalam memecahkan tantangan yang dihadapi, terutama hasil belajar yang rendah. Penelitian ini dilaksanakan di kelas X TITL 1 SMK Negeri 1 Tomohon pada bulan April–Mei 2023. Kategori pembelajaran merupakan kegiatan kelas tiga siklus yang meliputi persiapan, pelaksanaan, observasi, dan refleksi. Teknik dan alat pengumpulan informasi penelitian ini adalah analisis deskriptif terhadap informasi pada kertas kerja pemelajar, pencatatan nilai, dan lembar observasi. Temuan penelitian mengungkapkan bahwa hasil belajar pemelajar meningkat drastis dari siklus I ke siklus II hingga siklus III bila menggunakan paradigma pembelajaran berbasis kasus. Sedangkan pada siklus I rata-rata angkanya mencapai 68%; pada siklus II rata-rata angkanya mencapai 80,30%; dan pada siklus III rata-rata angkanya mencapai 90%. Dengan demikian, dapat disimpulkan bahwa paradigma pembelajaran berbasis kasus dapat meningkatkan hasil belajar pemelajar.
Purwarupa Pelindung Kebun Berbasis Rangkaian Automatic Transfer Switch
Authors: Annisa Fitria , Mursyidin Fathiah , Risky Anissa
Published: April 2024

Abstrak— Perkebunan memiliki beberapa alasan untuk menjadi salah satu aspek terpenting bagi negara, antara lain, pangan, ekonomi, ekspor, industri pengolahan, ketahanan lingkungan, pengurangan kemiskinan, serta penyerapan karbon. Namun, banyak faktor yang membuat pekebun tidak bisa terus bercocok tanam dan meningkatkan hasil panen, seperti cuaca yang tidak stabil dan gangguan hama yang merusak lahan perkebunan. Hama yang sering mengganggu petani adalah hewan liar khususnya babi hutan. Metode yang akan digunakan dalam penelitian ini adalah metode penelitian pengembangan prototype. Metode ini di dukung juga dengan model prototype dan teknik pengumpulan data. Dalam penelitian ini menggunakan model perancangan prototype. Model penelitian prototype merupakan tahapan fase untuk mewujudkan purwarupa atau model awal sebelum menciptakan produk sesungguhnya. Hasil perakitan komponen pelindung kebun setelah melalui banyak tahapan, maka peneliti mengambil bentuk rangkaian, mengikuti rangkaian ATS (Automatic Tranfer Swicth) dengan penggunaan dan penerapan yang berbeda. Arus dalam keadaan standby sebesar 7,7 mA. Merujuk pada tabel batas aman arus listrik pada manusia bahwa arus sebesar ini masih tergolong aman. Dapat disimpulkan untuk tegangan keluaran pada prototipe ini berjalan sesuai dengan yang diharapkan oleh peneliti. Penelitian ini dilakukan oleh peneliti untuk merancang sebuah prototipe sederhana untuk membantu petani dalam menjaga kebunnya dengan mempermudah agar memberikan waktu luang untuk petani dalam melakukan kegiatan lain tanpa harus menjaga kebunnya setiap saat. Hasil pengujian prototype pelindung kebun ini berjalan sesuai dengan harapan yang menunjukkan tegangan ketika aktif sebesar 7,7 mA dengan arus AC yang berarti membuktikan arus sebesar itu aman bagi manusia.
Investigating Organizational Citizenship Behavior in a Physical Education and Sports Sciences Department
Authors: Mohammed Safad Mudhafar
Published: April 2024

Organizational citizenship behavior (OCB) plays a pivotal role in fostering a positive and conducive learning environment in educational institutions. This study investigated the level of OCB among college members of the Physical Education and Sports Sciences Department at the University of Zakho from the perspective of their students. Using a quantitative, descriptive approach, structured questionnaires were administered to a diverse sample of 159 students, varying in sex, study shift, and year of study.  The findings revealed a significant acknowledgment of OCB among department members, as perceived by their students, indicating the positive impact of such behaviors on the overall academic climate. Interestingly, no statistically significant difference was observed in OCB perceptions between male and female students, which suggests an inclusive and equitable learning experience. However, a notable difference emerged between students attending morning and evening study shifts, highlighting the potential influence of factors, such as faculty availability and resource allocation. Furthermore, the study explored variations in OCB perceptions across different years of study, with fourth-year students reporting the highest mean score, potentially attributable to cumulative exposure and interactions with faculty members. However, these differences were not statistically significant, indicating a relatively consistent perception of OCB across academic progressions. This study contributes to a broader understanding of OCB in academic settings and its potential impact on overall learning experience. It provides valuable insights into fostering a culture of citizenship behavior within educational institutions and offers recommendations for professional development initiatives and targeted interventions to enhance OCB across various study programs.
Performance Prediction of A Power Generation Gas Turbine Using An Optimized Artificial Neural Network Model
Authors: Albaghdadi Anwr
Published: April 2024

This paper presents the application of an Artificial Neural Network (ANN) based model for performance ‎prediction of a power generation gas turbine. The suggested model was optimized to provide a large ‎database for comparison between different ANN topologies. Then, based on the optimization results, the ‎Multi-Layer Perceptron (MLP) of two layers was constructed and utilized for this study as the best-‎optimized topology. Training of this model was done using historical operational data of a Rolls Royce ‎‎(RB21-24G) gas turbine unit. The outcome results from this model used for performance prediction show ‎good accuracy for different ambient conditions and variable power ratings. Then, a degradation study was ‎also introduced comparing measurements of the same gas turbine utilizing one year later, on-site ‎operational data, with the predicted values generated by the ANN model. The result shows consistency ‎between the measured data and the model results.‎
Ionii principali în apele fluviului Nistru
Authors: Bagrin Nina , Zubcov Elena
Published: April 2024

Lucrarea include rezultatele cercetării ionilor principali (hidrocarbonaţi și carbonați - HCO3-+CO32-, sulfaţi - SO42, cloruri - Cl-, calciu - Ca2+, magneziu - Mg2+, sodiu - Na+, potasiu - K+) în apele fl. Nistru (Naslavcea, Vălcineț, Soroca, Camenca, Erjova, Goieni, Cocieri, Vadul lui Vodă, Varnița, Palanca) și a mineralizării acestora în anii 2020-2023. Cuvinte-cheie: ioni principali, mineralizare, calitatea apei, fluviul Nistru
Dezvoltarea zooplanctonului râului Prut în condițiile impactului factorilor de mediu
Authors: Lebedenco Liubovi
Published: April 2024

Lucrarea include rezultatele cercetării dezvoltării zooplanctonului în apele r. Prut în perioada anilor 2020-2023. Este prezentată componența specifică, dinamica sezonieră, spațială și multianuală a efectivului, biomasei și valorilor indicelui saprobic al zooplanctonului. În perioada de studiu în componența zooplanctonului au fost identificate 99 de specii. Printre speciile zooplanctonice înregistrate predomină cele β-mezosaprobe, oligo- și oligo-β-mezosaprobe, ceea ce denotă starea ecologică relativ bună a ecosistemului r. Prut. Calitatea apei ecosistemului r. Prut, apreciată în baza parametrilor comunităților zooplanctonice, se caracterizează ca foarte bună și bună, încadrându-se în clasele I-a și a II-a de calitate.
Optimizarea metodelor de reproducere a speciilor de pești incluse în Cartea Roșie a Republicii Moldova (după exemplul linului - Tinca tinca)
Authors: Bulat Dumitru , Crepis Oleg , Bulat Denis
Published: April 2024

Lucrarea de față reprezintă rezultatele elaborării și modernizării metodologiei reproducerii natural-dirijate a speciilor vulnerabile de pești, după exemplul linului Tinca tinca, Linnnaeus, 1758. S-a demonstrat eficiența mai mare de utilizare a reproducătorilor domesticiți în comparație cu cei capturați nemijlocit înaintea perioadei de reproducere naturală. Cea mai probabilă cauză de dereglare a comportării reproductive la loturile sălbatice este influența stresului produs în procesul de capturare, transportare, precum și în alte manipulări piscicole. În scopul diminuării efectului negativ al stresului asupra eficienței reproductive a fost elaborată și modernizată instalația de reproducere natural-dirijată a speciei care poate fi plasată nemijlocit în zona boiștilor caracteristice.
Characterisation of lightweight concrete blocks made from dune sand and wood chips
Authors: Guermiti Laid , Bensaada Abdelhalim , Rabehi Mustapha , Bentebba Mohamed Tahar , Bouziani Tayeb
Published: April 2024

Lightweight concrete blocks are often used in house construction. Over two millennia have passed since lightweight concrete was first developed, and advancements in technology are continuously being made. Because lightweight concrete has a lower density than regular concrete, using it helps reduce the weight of the components it is used to build and, in turn, the dimensions of the load-bearing components. This lowers the forces that the foundations transmit to the ground and, in turn, the dimensions of the latter, allowing construction on low-bearing soils. This paper presents the results of an examination into the composition and properties of lightweight concrete made with dune sand and wood chips. The studied composite is a sand concrete lightened by adding wood ships. Following this composition, we made several samples of lightweight concrete. Using laboratory tests, we have determined some of the physical and mechanical characteristics of these lightweight concrete samples. The results showed that the characteristics of this new wood concrete composite are close to French recommendations in terms of compressive strength. Thermal insulation is significantly improved, but sound insulation is not yet competitive in terms of attenuation.On the basis of the results obtained, these agglomerates can be used to build light, load-bearing, insulating walls. The results of the characterization provide valuable insights into the potential applications and performance of lightweight concrete blocks made from dune sand and wood chips.  The findings contribute to sustainable construction practices by exploring eco-friendly alternatives and expanding the knowledge base in the field of lightweight concrete block production.
Alterações oftalmológicas mais comuns observadas em crianças portadoras da Síndrome de Down: uma revisão narrativa
Authors: Lima Ananda Calili Rezende , Mattos Atílio Franco de , Martins Cezar Augusto Machado , Lopes Diego José Pereira , Souto Guilherme de Sousa , Lacerda Luiz Müller Pimentel Delfim , Cândido Sávio Rodrigues de Oliveira , Masson Victor Ferreira
Published: April 2024

A Síndrome de Down (SD), uma condição genética resultante da trissomia do cromossomo 21, é caracterizada por uma variedade de manifestações clínicas, incluindo frequentes alterações oftalmológicas. Cerca de 85% das crianças afetadas por essa mutação apresentam anormalidades oculares, tais como estrabismo, erros de refração, nistagmo, catarata, ceratocone e blefarite. Com o objetivo de identificar as principais manifestações oftalmológicas em crianças com SD e contribuir para o aprimoramento do manejo desses pacientes, foi realizada uma revisão descritiva abrangendo publicações entre os anos de 2018 e 2023. Os resultados dessa pesquisa revelaram que os erros refrativos são as anormalidades mais comuns nesse grupo populacional, sendo hipermetropia, astigmatismo e miopia os mais prevalentes. Estudos também indicam uma correlação entre erros refrativos e problemas de motilidade ocular, como estrabismo e nistagmo. Ainda, foram observadas algumas alterações de não patológicas no fundo de olho, como hiperpigmentação, além da descrição de achados como ceratocone, alterações no cristalino, alterações nos ductos lacrimais e blefarite. A discussão reforça que há uma incidência significativamente maior de problemas oculares nesse grupo em comparação com crianças típicas, possivelmente explicada pela maturação cortical mais lenta em pacientes com SD. É importante destacar que os fatores genéticos e de neurodesenvolvimento desempenham um papel crucial no surgimento dessas alterações. Com base nos dados apresentados, foi possível concluir que o acompanhamento clínico periódico é fundamental para o diagnóstico e tratamento precoces das desordens visuais em portadores dessa trissomia. Essas medidas são essenciais para garantir um melhor prognóstico e qualidade de vida para as crianças afetadas e seus familiares. No entanto, é crucial enfatizar a necessidade de estudos adicionais acerca do tema para ampliar nossa compreensão das conexões entre a SD e a maior probabilidade de desenvolvimento de alterações visuais.
Análise das características hidrogeomorfométricas e cobertura do solo da microbacia Rio do Janeo, Santa Luzia D’Oeste, Amazônia Ocidental, Brasil
Authors: Alves Marcia Cristiane , Ferreira Amanda dos Santos , Cavalheiro Wanderson Cleiton Schmidt , Maia Emanuel , Fulan João Ânderson , Stachiw Rosalvo , Barboza Everton , Souza Renato Francisco da Silva , Rodrigues Antônio Augusto Marques , Nascimento João Marcelo Silva do , Macedo Rodrigo Santana , Rocha Karen Janones da , Vendruscolo Jhony
Published: April 2024

As microbacias hidrográficas são áreas naturais de captação da água da chuva e o palco onde todas as atividades antrópicas estão conectadas por meio dos recursos hídricos, logo, também são consideradas unidades ideais para a gestão sustentável dos recursos naturais. Objetivou-se analisar as características hidrogeomorfométricas e a cobertura do solo da microbacia Rio do Janeo, Estado de Rondônia. Os dados foram obtidos por meio de geotecnologias e equações. A microbacia tem área de 4,88 km2, perímetro de 11,97 km, forma alongada, altitudes entre 365 a 426 m, relevos planos a ondulados, 90,98% da área exerce baixa influência na propagação de incêndios, 74,80% da área classificada como apta a extremamente apta à mecanização agrícola, rede de drenagem de 8,27 km, 3 ordens, 2,46 nascentes km-2, densidade de drenagem de 1,69 km km-2, canal principal reto, coeficiente de manutenção de 590,1 m2 m-1 e tempo de concentração de 1,47 h. No período de 1985 a 2022 ocorreu a redução das áreas de vegetação nativa e o aumento da área de agropecuária, de modo que no último ano, a área de agropecuária chegou a ocupar 82,78% da área total da microbacia e 45,28% da zona ripária. Conclui-se que as características hidrogeomorfométricas da microbacia denotam potencial para o desenvolvimento de atividade agropecuárias, contudo, o desmatamento na microbacia (excessivo) e na zona ripária comprometem a disponibilidade de recursos hídricos, tornando a região suscetível à escassez hídrica. Recomenda-se, principalmente, a recomposição da vegetação nas reservas legais e áreas de preservação permanente, adoção de práticas conservacionistas nos sistemas agropecuários e a conscientização da comunidade local.
O sistema leadership in energy and environmental design e as oportunidades para a gestão escolar no Brasil
Authors: Silva Elias Carlos da , Conti Diego de Melo , Cortese Tatiana Tucunduva Philippi , Benedicto Samuel Carvalho de , Castañeda-Ayarza Juan Arturo
Published: April 2024

As certificações são o meio mais comum para empreender e compreender o processo de inserção da sustentabilidade numa organização, pois elas oferecem ações padronizadas e verificáveis, e também um recursos para identificar a forma e o nível que as ações exigidas pela certificação atendem a cada uma das dimensões da sustentabilidade. No ambiente educacional, a certificação que atesta a adequação de uma escola aos parâmetros da sustentabilidade é a LEED School. Essa certificação é voltada para a área de ensino, a qualidade de vida dos alunos e funcionários, a existência de um edifício sustentável e outros aspectos que apresentam benefícios sociais para a comunidade. No Brasil, sua presença é recente e a adesão pelas escolas é incipiente. Muitas escolas, tanto públicas quanto privadas, não possuem estrutura ambiental, nem se quer tem um espaço externo ou um ambiente para se chamar de verde, dificultando assim a obtenção dos selos existentes no mercado. Assim, o objetivo desse estudo foi identificar as oportunidades e desafios inerentes ao processo de expansão da certificação LEED em escolas brasileiras. Para isso, teve como base a realidade de duas, das nove, escolas brasileiras que até o momento solicitaram a certificação LEED. Uma das escolas já é certificada e a outra ainda está em processo de certificação. Os dados das escolas foram coletados e analisados com base nos critérios exigidos pela certificação LEED. Os resultados mostram a ampla relação dos critérios usados pela certificação LEED com as dimensões da sustentabilidade e, talvez consequentemente, a complexidade e dificuldade que isso representa para as escolas visando obter a certificação e alcançar a máxima pontuação.
Pengembangan Arsitektur Microservice pada Learning Management System E-learning Menggunakan Metode Web Service
Authors: Dinova Calvin Alvito , Utomo Ihsan Cahyo
Published: April 2024

Learning Management System merupakan perangkat lunak dengan skala besar maka akan melibatkan berbagai media dan jaringan yang rumit, dalam pengembangan LMS, masih umum digunakan arsitektur monolitik yang menjalankan semua logika aplikasi dalam satu server. Namun, arsitektur monolitik memiliki kelemahan dalam mengadaptasi perubahan kebutuhan sistem, kompleksitas kode, dan pemeliharaan. Sebagai solusi alternatif, muncul arsitektur microservice yang membangun aplikasi sebagai kumpulan layanan kecil yang bekerja secara terpisah dan berkomunikasi melalui berbagai mekanisme. Pendekatan ini membantu menjaga keorganisan dan independensi kode program, sehingga memungkinkan pengujian aplikasi secara terpisah jika terjadi kesalahan.Dalam pertukaran data antar layanan, metode web service dengan format JSON (JavaScript Object Notation) sering digunakan. Penggunaan JSON memberikan kemudahan dalam implementasi dan tidak memberikan beban berlebih pada server. Penulis ingin membangun sebuah learning managaement system untuk e-learning yang menggunakan metode web service yang menggunakan arsitektur microservice yang mana akan membantu merancang bagian service agar lebih terorganisir dan mudah untuk di maintenace, yang dimana telah dilakukan pengujian menggunakan black box membuktikan bahwa sistem back-end yang menggunakan arsitektur microservice berfungsi sesuai dengan yang diharapkan. Selain itu, pengujian integrasi antara API Gateway dan layanan lainnya juga berhasil, di mana empat skenario koneksi antara layanan online menghasilkan kode respon 200 dan response body data yang sesuai, sedangkan empat skenario ketika salah satu layanan offline menghasilkan response code 500 dan pesan error "Service Unavailable".
Analysis Sentiment Terhadap Ginjal Akut pada Twitter Menggunakan Algoritma Random Forest
Authors: Falah Hadi Mirojul , Jamil Muhammad Ridwan , Taufik Ahmad , Botha Marten , Agustina Nova
Published: April 2024

Analisis sentimen berkaitan dengan identifikasi dan klasifikasi pendapat atau sentimen yang diungkapkan dalam teks sumber. Sosial media menghasilkan sejumlah besar data yang penuh dengan sentimen berupa tweet, update status, postingan blog maupun yang lainnya. Analisis sentimen dari data yang dihasilkan pengguna ini sangat berguna dalam mengetahui pendapat dari kerumunan. Dalam makalah ini, dilakukan analisis postingan twitter tentang Ginjal Akut menggunakan pendekatan Machine Learning, yaitu dengan menggunakan Algoritma Random Forest dan Particle Swarm Optimization. Hasil penelitian menunjukkan akurasi yang di dapat pada saat melakukan klasifikasi menggunakan algoritma Random Forest dengan Cross Validation sebesar 94.47%.
Penilaian Siswa menggunakan Metode Fuzzy Tsukamoto
Authors: Prisilia Vivi , Gusrianty Gusrianty
Published: April 2024

Penilaian merupakan hal yang penting untuk tolak ukur keberhasilan seorang siswa, maka pengolahan data nilai nya juga menjadi hal yang penting dalam pengambilan sebuah keputusan dengan cepat dan tepat. Pengambil keputusan membutuhkan alternatif kriteria yang dapat digunakan dalam menentukan penilaian dalam pembelajaran matapelajaran IPA pada Kurikulum 2013 menggunakan metode fuzzy logic tsukomoto sesuai dengan kriteria yang diinginkan. Kriteria penilaian disesuaikan diambil dari  4 Kompetensi Inti yaitu KI-1 (Sikap Spriritual), KI-2 (Sikap Sosial), KI-3 (Pengetahuan) dan KI-4 (Keterampilan). Sebagai salah satu metode dalam pengambilan keputusan fuzzy logic tsukomoto dapat memberikan rekomendasi hasil yang lebih baik. Penelitian ini bertujuan untuk membantu dalam pengambilan keputusan penilaian pembelajaran siswa paa kurikulum 2013 menggunakan metode fuzzy logic. Hasil dari pengujian meperlihatkan bahwa metode fuzzy logic tsukomoto menghasilkan nilai 81,41 (Cukup) untuk output sikap dan 85,03 (Cukup Tuntas) untuk output prestasi.
Penerapan Algoritma Random Forest dalam Prediksi Kelayakan Air Minum
Authors: Abdi Khairul , Warjaya Angga , Muthmainnah Inna , Pahutar Padli Husaini
Published: April 2024

Tantangan meningkatnya kebutuhan akan air bersih di tengah ketersediaan yang terbatas mendorong penelitian ini. Pencemaran air, terutama oleh limbah rumah tangga, menyebabkan penurunan kualitas air dan kelangkaan sumber air bersih. Dampak buruknya terhadap kesehatan masyarakat, terutama diare, menunjukkan urgensi identifikasi dini kualitas air yang tidak layak konsumsi. Oleh karena itu, penelitian ini menerapkan algoritma Random Forest untuk klasifikasi kualitas air dan prediksi kelayakan air minum. Penggunaan teknik data mining, khususnya Random Forest, diharapkan dapat mengidentifikasi pola kompleks dalam data dan faktor-faktor yang mempengaruhi kualitas air. Menggunakan dataset Water Quality dari Kaggle, hasil penelitian menunjukkan akurasi sebesar 69%. Analisis Feature Importance Score memperlihatkan kontribusi relatif fitur terhadap prediksi. Kurva ROC menggambarkan optimalitas klasifikasi, sementara Confusion Matrix memberikan gambaran kinerja model. Confusion Matrix yang merinci hasil klasifikasi model Random Forest Classifier. Diagonal utama menunjukkan jumlah instance yang benar-benar diprediksi dengan benar untuk kategori "Potabel" dan "Tidak Potabel", masing-masing 370 dan 84. Namun, terdapat 160 instance yang salah diklasifikasikan sebagai "Potabel" dan 42 sebagai "Tidak Potabel".
An analysis of the problems and effectiveness of children's English education from the perspective of behaviorism
Authors: Zhang Lanxin
Published: April 2024

Behaviorism learning theory has dominated learning theory in the US for the past 50 years and is currently one of the major schools of thought. According to this idea, human thought arises via interaction with the outside world or the development of a "stimulus-response". In recent years, early childhood education has attracted more and more attention from various groups in society. Today, the field of children's English education is developing rapidly, but due to the particularity of children as an educated group, there are many problems and difficulties in English teaching and learning. This review analyzes and concludes that using behaviorism theory to guide children's English teaching and consolidating the knowledge learned through repeated practice is of great significance to children's English learning. It also puts forward suggestions that behavioral teaching concepts should be rationally used to formulate more flexible children's English learning strategies and make correct analyses and improvements.
Research on the Influence of Advertising Content on Consumer Purchasing Behavior Based on Elaboration Likelihood Model (ELM)
Authors: Pan Yuqiao
Published: April 2024

Advertising content is the foundation of advertising. Advertising content contains a lot of information and experience to convey to the consumer. How consumers deal with advertising content cognitively will affect the effectiveness of marketing personnel in delivering advertisements to consumers and lead to changes in purchasing behavior. This literature review studies the cognitive processing of consumers' four types of advertising content (informational advertising, comparative advertising, emotional advertising, social responsibility advertising) based on Elaboration Likelihood Model (ELM), and studies their impact on consumers' purchasing behavior. ELM points out two cognitive processing routes, namely the central route and the peripheral route. According to research, informational advertising and comparative advertising use the cognitive processing approach of the center route. Emotional advertising and social responsibility advertising are processed by consumers using peripheral routes. The research finds that informational advertising and comparative advertising participate in the cognitive processing of consumers through the central route. The characteristics and information about the product in the advertising content will affect the cognition, and ultimately affect the consumer's purchase intention. Emotional advertising and social responsibility advertising participate in the process through the peripheral route. These ads can influence consumers' impressions of brands and, ultimately, purchase intentions.
Marketing Strategy Research in China's Milk Tea Industry: A Case Study of Mixue
Authors: Lu Jingyi
Published: April 2024

This paper delves into the marketing strategies employed within the dynamic landscape of China's milk tea industry, with a specific focus on Mixue as a compelling case study. The milk tea sector in China has witnessed remarkable growth and transformation in recent years, driven by changing consumer preferences and a burgeoning youth demographic. Through a meticulous analysis of Mixue's marketing strategies, this research aims to unravel the key factors contributing to the brand's success in this fiercely competitive arena. The study employs a multifaceted approach that encompasses various dimensions of marketing, including product innovation, branding, pricing, distribution, and promotional tactics. Mixue's ascendancy within the milk tea industry is underpinned by its adept utilization of social media platforms, reflecting the evolving nature of consumer engagement in the digital age. The brand's ability to create compelling content, engage with its target audience, and harness the power of user-generated content has played a pivotal role in bolstering its market presence. Furthermore, this research examines Mixue's strategies for differentiation and brand positioning within the crowded milk tea marketplace. The findings shed light on the brand's unique selling propositions and how these resonate with consumers, ultimately influencing their purchase decisions. As a case study, Mixue's marketing strategies provide valuable insights for both industry practitioners and academics seeking to understand the evolving dynamics of the milk tea sector in China. By examining Mixue's approach, this research contributes to a broader comprehension of successful marketing strategies within the context of China's vibrant milk tea industry.
The Role of Semaglutide in Weight Management: An Analysis of Clinical Studies for Overweight and Obese Adults
Authors: Huang Chengxiang
Published: April 2024

Obesity is a mounting global health challenge, and recent advancements in pharmacologic interventions have brought new hope to this complex issue. One such intervention, semaglutide, marketed as Ozempic and Wegovy, has shown promising results in weight management among adults with overweight or obesity. This paper synthesizes findings from key clinical studies to evaluate the efficacy, safety, and long-term impact of semaglutide in weight management. Semaglutide, initially developed for type 2 diabetes management, functions by mimicking the human glucagon-like peptide-1, thereby reducing appetite and food intake. Regulatory bodies in the United States, Europe, the United Kingdom, and Canada have approved its use for weight mana gement at a weekly dose of 2.4 mg, marking a significant step in obesity treatment. Alongside its benefits, the paper also addresses the safety profile and adverse effects associated with semaglutide. While generally well-tolerated, rare but serious adverse effects have been reported, necessitating a careful assessment of risks and benefits in clinical practice. In conclusion, semaglutide presents a significant advancement in the pharmacologic management of obesity. Its ability to induce considerable weight loss, coupled with improvements in cardiovascular and metabolic health, positions it as a promising tool in the arsenal against obesity. Future research should focus on long-term efficacy, safety, and the integration of comprehensive lifestyle interventions to optimize treatment outcomes.
Intelligent Problem Solver in Database Systems based on Ontology Integration through Text-to-SQL
Authors:   Faculty of Information System, University of Information Technology, Ho Chi Minh city, Vietnam; Vietnam National University, Ho Chi Minh city, Vietnam, Hung Hung ,   Faculty of Information Technology, Ho Chi Minh University of Education, Ho Chi Minh City, Vietnam,   Campus in Ho Chi Minh City, University of Transport and Communications, Vietnam,   Faculty of Information System, University of Information Technology, Ho Chi Minh city, Vietnam; Vietnam National University, Ho Chi Minh city, Vietnam,   Faculty of Computer Science, University of Information Technology, Ho Chi Minh city, Vietnam; Vietnam National University, Ho Chi Minh city, Vietnam, Nguyen Hung , .. Nha P. , .. Sang , Nguyen Hien D.
Published: April 2024

The knowledge of courses can be represented by using ontology to create intelligent educational systems. This study proposes the Onto-Linking model as a knowledge framework that expresses the knowledge of the inputted schema to investigate the schema linking problem of the Text-to-SQL model. It combines the ontology with the structure of the schema. The proposed ontology is utilized to encapsulate the semantics of the intellectual elements of the schema, such as the table names, column names, foreignprimary key restrictions, and information about the probing schema connection. Therefore, the model makes it easier to accurately translate natural language questions into SQL queries. It improves query creation, helps with error handling, and supports query validation by helping the model better grasp the query's intent. The outcomes of the pedagogically oriented model aimed at guiding learners to comprehend the process of reasoning to attain the respective solution.
Online Game Outcome Prediction Model Using Weighted-Based Feature Approach
Authors:   FAC. of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, MALAYSIA, Nurul Nurul ,   FAC. of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, MALAYSIA,   FAC. of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, MALAYSIA, .. Nurul Aswa , Hamid Isredza Rahmi A.
Published: April 2024

Recently, the popularity of online games has risen drastically due to the latest technology that can connect players globally. League of Legends (LoL) holds the title of being the most extensively played Multiplayer Online Battle Arena (MOBA) game globally. This issue compels a substantial volume of preceding research that still analyzes and predicts the game outcomes with traditional methods that can be inaccurate and imprecise. Furthermore, these methods are frequently associated with the high rates of both false positive and false negative results. Hence, this paper presents a weighted-based feature predictor model to enhance the prediction accuracy. The approach predicts the game outcome of League of Legends matches in the Latin America North (LAN) and North America (NA) regions. We utilize player mastery and win rate for each summoner as the features. The data preparation process includes a weighted algorithm calculation and then evaluation using Naïve Bayes and Support Vector Machine algorithm. The outcomes illustrate that the weight-based feature approach can predict the outcome of LoL matches with an average accuracy of over 97 percent. This approach can be a valuable technique for players, teams, and coaches to analyze their performance and make strategic decisions.
Segmentation Word to Improve Performance Sentiment Analysis for Indonesian Language
Authors:   Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn, MALAYSIA; Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn, Malaysia, Noor Noor ,   Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn, Malaysia,   Informatic Engineering Department, Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, Indonesia, Safar Noor Zuraidin M. , Supriyanto Catur
Published: April 2024

This study explores the enhancement of accuracy in Indonesian sentiment analysis by incorporating text segmentation features during the pre-processing phase. One of the most important steps in creating a high-quality Bag of Words is to separate Indonesian sentences with no spacing, which is made possible by the created text segmentation algorithm. Through the conducted observations and analyses, it was observed that text comments from social media frequently exhibit connected sentences without spacing. The segmentation process was developed through a matching model utilizing a standard Indonesian word dictionary. Implementation involved testing Indonesian text data related to COVID-19 management, resulting in a substantial increase of 3,036 features. The Bag of Words was then constructed using the Term Frequency-Inverse Document Frequency method. Subsequently, sentiment analysis classification testing was conducted using both deep learning and machine learning models to assess data quality and accuracy. The sentiment analysis accuracy for applying Deep Learning, Support Vector Machine and Naive Bayes is 86.46%, 88.02% and 86.19% respectively.