bluuebunny/crossref_metadata_2025 huggingface dataset:
The Development of Audience Participatory Information Dissemination in the New Media Environment
Authors: Jiang Yilin
Published: December 2024

With the rapid development of modern information technology and the continuous improvement of China's overall capabilities, the information era has truly arrived. In this context, various development mechanisms continue to promote the prosperity of the new media industry in China. Currently, new media dissemination has become the primary method of information dissemination in today's social market and has formed a well-established dissemination system. In the era of new media dissemination, the core feature of information dissemination mainly involves publishing the same type of information through multiple channels, including individuals who represent short videos and can become news information publishers. This approach significantly enhances the speed of information transmission and expands its coverage. This method of dissemination is significantly different from traditional information dissemination models, allowing the audience to better participate in the dissemination process. Therefore, this paper provides a detailed analysis of the diversification of information dissemination and the personalized characteristics of platforms in the new media environment, followed by an in-depth analysis of the impact of audience participation in information dissemination. The aim is to better promote the development of new media dissemination and audience participatory information dissemination.
Stability and Fault Detection Algorithm of Grid-Connected Inverter in Complex Power Grid Environment
Authors: Qu Zicheng
Published: December 2024

In order to improve the stability, this paper designs a control strategy based on adaptive grid impedance. By monitoring the grid impedance in real time and dynamically adjusting the inverter control parameters, the influence of grid impedance change on inverter stability is effectively reduced. At the same time, LCL filter is introduced, which significantly filters out the higher harmonics in the inverter output current and improves the output waveform quality. In addition, a voltage compensation device is applied to quickly generate a compensation voltage signal when the grid voltage fluctuates to ensure the stability of the inverter output voltage. In the aspect of fault detection, a data-driven fault detection algorithm is proposed, which combines machine learning and real-time monitoring technology to realize early detection and accurate diagnosis of inverter faults by collecting and analyzing inverter operation data. The experimental results show that the algorithm performs well in the detection of power switch device faults, sensor faults and other types, and has high classification accuracy. The research shows that the control strategy based on adaptive grid impedance, the addition of LCL filter and the application of voltage compensation device have significantly improved the stability of grid-connected inverter in complex grid environment. The proposed data-driven fault detection algorithm provides strong support for rapid fault location and accurate treatment of inverter.
Research on Software Defect Prediction Model based on Deep Learning
Authors: Liang Qi
Published: December 2024

As software systems grow in complexity and scale, detecting and predicting defects has become crucial for ensuring software quality and enhancing development efficiency. Traditional approaches to software defect prediction rely heavily on manual feature extraction and statistical models, which often struggle to handle intricate defect patterns and large-scale datasets. Recently, deep learning has demonstrated significant promise in software defect prediction, primarily due to its ability to automatically extract features and its strong pattern recognition capabilities. To enhance both the accuracy of defect predictions and the interpretability of the models, this paper proposes a deep learning-based prediction model. The focus is placed on the stages of data preprocessing, model selection, parameter tuning, and model assessment. The experimental outcomes indicate that the deep learning approach consistently outperforms conventional methods across various public datasets, achieving superior predictive accuracy and robustness. This study offers theoretical insights and practical evidence for further advancing the effectiveness of software defect prediction techniques.
IMPACT OF SALT STRESS ON PLANT GROWTH AND APPROACHES FOR ENHANCED TOLERANCE
Authors: KHALID S , CHAUDHARY N , IRUM A , AAS MA , NOOR S , MUNSHA A , TOOR S , IQBAL RJ , HUSSAIN MI , FAROOQ MS
Published: December 2024

Salt stress is a major environmental factor that limits plant growth and productivity, particularly in regions with high soil salinity. As salt accumulation disrupts cellular functions, plants face challenges in water uptake, nutrient absorption, and maintaining metabolic processes, leading to reduced yield and crop quality. Plants have developed several mechanisms of salt tolerance, including ion homeostasis, osmotic adjustment, and antioxidant defense, which help plants adapt to saline conditions. Soil management techniques, such as leaching and the use of amendments, alongside plant growth regulators and microbial inoculants, can enhance plant resilience to salinity. There is a dire need for interdisciplinary research to understand the complex interactions between plants, soil, and microorganisms, as well as the need to develop salt-tolerant crop varieties through genetic engineering. Rising temperatures and sea levels due to climate change have exacerbated salinity issues. Long-term solutions, such as soil reclamation and sustainable water management, are crucial to ensuring the future of agriculture in saline-prone regions.
INVITRO PROPAGATIONS AND MICRO RHIZOME INDUCTION OF ZINGIBERACEAE OFFICINALE
Authors: ALI H , HUSSAIN I , ALI K , ALI S , ALI GM
Published: December 2024

Ginger (Zingiber officinale Rosc.), is a rhizomatous crop that belongs to the Zingiberaceae family. Its bioactive ingredient has gained much attention for its many uses in medicine, food, and industry. Traditional rhizome propagation fails because of disease susceptibility, limited multiplication rates, and seasonal limitations. In vitro micropropagation and micro-rhizome induction may provide disease-free, genetically uniform plants throughout the year. Ginger micropropagation encounters contamination, soma clonal variance, hyperhydricity, Subculturing, and rigorous sterilizations. To mitigate these issues this review evaluates ginger micropropagation and in vitro micro-rhizome formation techniques. Ginger tissue culture requires explant selection and sterilization. Shoot tips, lateral buds, and rhizome segments exhibit variable responses to media compositions and sterilization methods. The fundamental medium is the Murashige and Skoog (MS) medium, which comprises organic compounds and carbon sources. The cytokine 6-benzylaminopurine influences shoot induction and proliferation. Reduced levels of NAA or IAA enhance shoot elongation and quality. To stop hyperhydricity and callus formation, which slow down shoot growth and regeneration, the right amounts of cytokinin and auxin must be present. The multiplication and storage of ginger depend on the production of micro-rhizomes, which requires certain concentrations of growth regulators and suitable environmental conditions. Rhizome development needs 6–8% sugar as an osmotic agent and energy source. Cytokinins and auxins, such as NAA and IBA, enhance micro-rhizome biomass. Photoperiod and temperature influence micro-rhizome development, with 16 hours of light and temperatures of 25 ± 2°C promoting growth. Plantlets must acclimate to soilless or substrate medium after in vitro cultivation. The micropropagation of ginger and the induction of micro-rhizomes may enhance industrial output. This review aims to address the knowledge gap on the micropropagation of ginger by synthesizing and critically evaluating previous studies. It functions as a comprehensive resource for researchers and those aiming to improve ginger farming using sophisticated biotechnology methods.
Leading Through Language: Understanding How Presidential Leaders at Faith-Based Institutions Issue Sensegiving Statements Within a Social Justice Context
Authors:   University of Montana, Gibbs Benjamin
Published: December 2024

The landscape of leadership in higher education is becoming increasingly complex (Gagliardi et al., 2017; Jaschik & Lederman, 2016; Wesley et al., 2021). Significant instances of racial violence and geopolitical unrest have instigated conversations and ongoing movements towards greater social justice in American society and on university campuses. With these movements, higher education leaders at faith-based institutions have been called on to communicate and lead within a social justice context, through the act of sensegiving. This qualitative study investigated the perspectives and roles of presidential leaders who have provided communication regarding social justice topics. The purpose of the study was to understand presidential leadership perspectives and communications around social justice. The communicative leadership act of sensegiving provides a platform for higher education leaders to guide institutions and promote strategic change through language. However, additional research is needed to understand how presidents understand their leadership role and how that understanding could influence presidential practice.
Küçük Yaşta Evlilik Tartışmaları Bağlamında Hz. Ömer’in Ümmü Külsûm bint Ali ile Evlenmesi: Klasik İslâm Tarih Kaynakları Çerçevesinde Bir Değerlendirme
Authors: Aktaş Ömer
Published: December 2024

Bu makale, müslümanların ikinci halifesi Hz. Ömer ile dördüncü halifesi Hz. Ali’nin kızı Ümmü Külsûm’ün evliliğini konu edinmektedir. Hz. Ömer’in Ümmü Külsûm ile evliliği o dönem şartlarında doğal bir evlilik olmasına rağmen, günümüzde bazı kişi ve çevrelerce eleştiri konusu edilmektedir. Dahası bu evliliğin, baskıyla veya hilafet kurumunun gücüyle gerçekleştirildiği gibi aşırı uç bir iddiaya da çevrildiği müşahede edilmektedir. Meselenin mecrasından çıkarılıp İslâm’a ve Hz. Ömer’e saldırı amaçlı olarak kullanılması, konunun tekrar ele alınması gerektiği fikrini doğurmuştur. Bu nedenle meselenin özüne inip hadisenin konu edildiği rivayetlerin derinlemesine incelenmesi için İslâm tarihinin ana kaynaklarına müracaat edilmiştir. Konu hakkında geçen rivayetler en eski kaynaktan başlanmak üzere hem metin hem de sened açısından kronolojik bir değerlendirmeye tabi tutulmuştur. Çalışma İslâm tarihinin ana kaynaklarıyla sınırlandırılmış, ancak gerektiğinde konunun çözümüne yardımcı olacak muahhar kaynaklara da müracaat edilmiştir. Evlilik hadisesinin gelişme sürecine temas edilmiş, konunun muhatapları olan Hz. Ömer, Hz. Ali ve Ümmü Külsûm’ün durum ve tutumları incelenmiştir. Hz. Ömer’in Ümmü Külsûm ile evlenme isteğinin nedenleri üzerinde durulmuştur. Gelin ve damadın doğum tarihlerinden yola çıkarak evlilik tarihindeki yaş durumları tespit edilmeye çalışılmıştır. Böylece Ümmü Külsûm’ün dönemin şartlarına göre küçük yaşta evlilik yapan bir kız mı, başka bir ifadeyle çocuk gelin mi olduğu hususu tespit edilmeye çalışılmıştır. Hz. Ömer’in Ümmü Külsûm ile evlenmesini konu alan rivayetlerin önemli bir kısmının sıhhatlerinin problemli olduğu tespit edilmiştir. Sonuç olarak Hz. Ömer, genç bir hanım olmasından değil, Allah Resûlü’nün akrabası olmasından ötürü Ümmü Külsûm ile evlenmiştir. Hz. Peygamber ile var olan hısımlığını, akrabalık seviyesine yükseltmek düşüncesiyle yapıldığı bizatihi Hz. Ömer tarafından belirtilen bu evliliği yargılamak veya eleştirmek yerine, anlamaya çalışmak ve tarihi bir vaka olarak değerlendirmenin daha faydalı olacağı düşünülmektedir.
Development of Automated Statistical and Optimized Models with Soft Computing Techniques for Business finance Operations
Authors:   Department of AI and Big Data, Woosong University, Daejeon, South Korea, Doug Doug
Published: December 2024

As part of the scope of the Artificial Neural Network – Particle Swarm Optimization (ANN-PSO) notion, the computational capability of ANNs is integrated with the optimization potential of PSO. This method proves to be very effective in solving complex non-linear forecasting problems where traditional approaches would not be effective. The data interactions that exist are the ones that are modelled and captured by the ANN component. However, the PSO method is charged with the duty of minimizing the biases and weights used in the ANN to ensure that the model attains the global minimum without being trapped in tiny local minimum. The application of this framework can be extended to cash forecast used in business like the one above in which a days of cash requirement forecast is created based on experience and factors like holidays, pay check effects and working days. However, the given contribution of the PSO element in learning process is linked with continuous transformation of variables under the basic guidelines of swarming intelligence, it makes the learning session of ANN more efficient. Therefore, the degree of accuracy of forecasts that are given by such configurations is improved, especially in the conditions that are in a state of steady evolution. The ANN-PSO model mirrors similar attributes, including its ability to process data in parallel and furthermore, its high compatibility with large-scale data as well as it robustness when working with both non-linear and linear data set. Incorporating the PSO into a model enhances the range of possible solutions and given the peculiarity of the gradient-based approach, it reduces mistakes more effectively than the conventional techniques. They suggested that by applying ANN with PSO the framework act as an efficient tool for prediction and for solving various issues in several fields. In this case, the ANN-PSO strategy suggested here works out to an impressive overall accuracy of over 98% compared to the previous systems.
Stochastic Diffusion Process Models for Driving Innovation in Market-Driven Product Development
Authors:   Department of AI and Big Data, Woosong University, Daejeon, Seoul, South Korea, Saurabh Saurabh
Published: December 2024

In order to analyses the diffusion of new technological products in rapidly changing market environments, this paper presents two new stochastic diffusion models: SDM1 and SDM2. The two models also utilize stochastic market size function in capturing rather random growth of potential users, inherent in most real-world markets. SDM1 apply the exponential distribution to model the market growth rate to consider the cases characterized by the high increase, while SDM2 adapt the Erlang distribution to reflect the S-shape to consider the long-term adoptions. The presented models rely on stochastic differential equations with recourse to calculus, and they adopt stochastic geometric Brownian motion and logistic growth function for adoption rates. This makes it possible to capture effects of learning as well as the non-regularity of adoption over time. The empirical results of benchmark models by using Apple iPhones and Samsung Galaxy smartphones sales data show the better performance of SDM1 and SDM2. The performance of the methodologies is measured using parameters, the goodness-of-fit tests and the forecast accuracy that all show that the proposed methods are very efficient. These models have a rich theoretical background, which comprises the foundation for explaining adoption patterns, which in turn will facilitate the behaviour of managers and policymakers towards understanding consumers, controlling inventory, and designing significant marketing strategies for technology products in a stochastic world. Both SDM1 and SDM2, the suggested algorithms, outperform the state-of-the-art techniques in terms of accuracy. SDM1 outperforms the other models with an accuracy of 95.32 percent. SDM2's greater accuracy in forecasting is shown by its outperformance of all techniques, which stands at 97.3%.
Kemampuan Pemecahan Masalah Matematika Melalui Model Pembelajaran Kontekstual Berbantuan Quizizz
Authors: Ratnasari Emiliana , Oktaviana Dwi , Saputro Marhadi
Published: December 2024

This research aims to determine whether there are differences in mathematical problem solving abilities through the contextual learning model assisted by Quizizz in terms of visual spatial intelligence. This research is a quantitative research type of True Experimental Design. The research subjects were class VIII students at SMPN 17 Pontianak with a total of 60 students. The samples in this study were class VIII B as an experimental class using the contextual learning model assisted by Quizzizz and class VIII A as a control class using a conventional learning model. Data was obtained from the mathematical problem-solving ability test given to students. The data analysis technique used a two-way anava test and an advanced test using a double comparison test with the Sheffe method. Based on the results of the analysis and discussion of the research data, the results were obtained that the ability to solve mathematical problems using the quizizz-assisted contextual learning model is better than the ability to solve mathematical problems using the conventional learning model. There is an interaction between the quizizz-assisted contextual learning model and students' spatial visual intelligence on mathematical problem solving
Konsep Manajemen Pendidikan Islam Perspektif Al-Qur’an
Authors: Suriani Irda , Harahap Tiara Febriani , Siregar Hilda Hilda Darmaini
Published: December 2024

Educational management is management that is applied in the development of education. In the sense that it is the art and science of managing Islamic educational resources to achieve the goals of Islamic education effectively and efficiently. This research aims to find out the concept of Islamic education management based on the perspective of the Qur'an and Hadith. This study uses a literature review method to examine the concept of Islamic education management from the perspective of the Qur'an. This research involves the systematic collection and analysis of relevant sources, including classical and contemporary interpretations (Qur'anic interpretations), scientific articles, books, and other academic works related to Islamic education management and Qur'an principles. The data are categorized and interpreted to identify the core principles and practices in education management as outlined in the Qur'an. The results of the analysis show that the purpose of Islamic education management is so that all resources, equipment or facilities in an organization can be mobilized in such a way that it can avoid to the minimum extent all the waste of time, energy, materials, and money in order to achieve the organizational goals that have been set in advance. The views of experts conclude that the concept of Islamic education management according to the perspective of the Qur'an is as follows, namely flexible, effective, efficient, open, cooperative and participatory
A ATUAÇÃO DO GOVERNO FEDERAL BRASILEIRO NO DESENVOLVIMENTO DA AGRICULTURA IRRIGADA NO CENTRO-OESTE
Authors: Teixeira Batista Aparecida Ceila , Siqueira Gomide Caroline , De Cordova Huff Theodoro Suzi Maria
Published: December 2024

A partir deste trabalho, propomo-nos a analisar o alcance das políticas públicas implementadas pelo Governo Federal Brasileiro voltadas à agricultura irrigada no Centro-Oeste, sob o signo do desenvolvimento regional. Para tanto, metodologicamente, lançamos mão de pesquisa bibliográfica e documental, para identificarmos o estado dos levantamentos oficiais e de organismos internacionais sobre o desenvolvimento da agricultura irrigada no país, bem como a estruturação dos arranjos legais e institucionais que estimulem o segmento na região Centro-Oeste, mediante a utilização de recursos públicos federais. Os dados permitiram averiguar que o incentivo que se projeta para o setor na região considera o modelo de agricultura e estrutura fundiária predominantes nela, visando ao atendimento da função do Brasil na divisão internacional do trabalho, como exportador de commodities.
POTENCIALIDADES DO PATRIMÔNIO AGRÁRIO COMO ESTRATÉGIA DE DESENVOLVIMENTO REGIONAL APLIACADA À MICRORREGIÃO DE CANOINHAS, SANTA CATARINA, BRASIL
Authors: Tomporoski Alexandre Assis , Minini Wechinewsky Guerber Patricia , Teles Rodrigues Eliana , Conceição dos Santos Cardoso Brayana , De Sousa Nascimento Afonso Welliton , Bazzanella Sandro Luiz
Published: December 2024

A dinamicidade da categoria patrimônio cultural resultou na constituição de inúmeras variáveis conceituais ao longo do tempo. No entanto, alguns bens patrimoniais seguiram carentes de identificação e reconhecimento. Esse foi o caso dos bens patrimoniais agrários, que historicamente foram alvo de um processo de marginalização, que reiteradamente impacta o mundo rural e seus protagonistas. Ao longo da última década, essa lacuna vem sendo preenchida por meio da constituição da categoria de patrimônio agrário, a qual permite a valoração dos bens patrimoniais agrários a partir da premissa de que a agricultura é cultura. Mais recentemente, o debate acerca deste conceito e de sua aplicabilidade transcendeu as fronteiras europeias e chegou ao Sul global, em especial ao território brasileiro, onde pesquisadores têm trabalhado na sua operacionalização. Este artigo se propõe a analisar as caívas, patrimônio agrário localizado na microrregião de Canoinhas, Santa Catarina, Brasil. Com esse objetivo, empregou-se uma abordagem qualitativa, marcada por ampla revisão bibliográfica sobre os temas centrais da pesquisa, sistemática revisão documental e saídas a campo para estudos in loco das caívas localizadas no recorte territorial previamente definido. Entre os principais resultados obtidos destaca-se a identificação de um amplo conjunto de bens patrimoniais agrários presentes no âmbito das caívas, cuja manutenção da atividade produtiva consiste em condição fundamental para sua preservação. Conclui-se que as caívas efetivamente configuram exemplo de patrimônio agrário e que esta categoria patrimonial apresenta relevante potencial de aplicabilidade, especialmente em territórios que buscam estratégias alternativas de desenvolvimento regional.
The Influence of Abu Muzahim in Tajweed on the Classics
Authors: Haris Abdul Rauf , Hariyanto Didik , Zulfikar Fahmi , Anshorullah Arich H
Published: December 2024

Abu Muzahim is one of the scholars who pioneered the development of tajweed science by writing it explicitly. His actions became the foundation for the scholars afterwards, so his influence was felt strongly in the majority of their works. Although Ibn al-Jazari appeared in a different context from Abu Muzahim, the influence of Abu Muzahim's thought is still visible in his works. This is proven by quoting Abu Muzahim's opinion in several works of Ibn al-Jazari. The purpose of this study is to explain in detail Abu Muzahim's thoughts in the science of tajweed, analyze Ibn ul Jazari's discussion of tajweed in his works mentioned earlier, and describe the extent of the influence of Abu Muzahim's thoughts on the three works of Ibn ul Jazari. The method used is qualitative descriptive. The results of the study show that Abu Muzahim's thoughts did have a significant influence on the works of Ibn ul Jazari. This is reflected in several things, such as Ibn ul Jazari's direct quotation of Abu Muzahim's qashidah verses in An-Nasyr, the similarity of the discussion of the rules of tajweed in the books of Ibn al-Jazari with the discussion of the book of Abu Muzahim, as well as Ibn ul Jazari's emphasis on the opinion of Ahlu Al-Adā which is also Abu Muzahim's thought in the context of the rules of tajweed.
Analysis of the Construction of Wahbah Az-Zuhaili's Thought on the Concept of Time in at-Tafsir Al-Munir
Authors: Haris Abdul Rauf , Nurhidayah Lilik , Ersad Prahastin Uzainiyah
Published: December 2024

Time is an important topic in the Qur'an, which demands optimal utilization by mankind. Allah Subhānahu Wata'ālā emphasizes the importance of time by swearing to use various terms of time in the Qur'an. This study uses At-Tafsir Al-Munir by Wahbah Az-Zuhaili, a contemporary tafsir that combines the methods of ma'tsur and ra'yi narration, to answer two main questions: (1) How is Wahbah Az-Zuhaili's interpretation of the verses on time based on the terms Ad-Dahr, Al-Ajal, As-Saa'ah, Al-Waqt, and Hiin? (2) How relevant is the interpretation in the context of human life? Through literature review and qualitative analysis, it was found that Wahbah Az-Zuhaili interpreted Ad-Dahr as an infinite age, Al-Ajal as the final limit of the life of beings, Al-Waqt as the time of practice, As-Saa'ah as the end of the world or the Day of Judgment, and Al-Hiin as the number of human lifespans. Its relevance suggests that time existed before the creation of creatures, all creatures have an end limit to life that can be long or short.
O PROBLEMA DE SOBREAQUECIMENTO DO GERADOR DE TURBINA EÓLICA MODELO G97 SIEMENS GAMESA: UMA REVISÃO BIBLIOGRÁFICA
Authors: Santos Moura Cardoso dos , Soares Werner Kleyson da Silva
Published: December 2024

A energia eólica é uma das principais fontes de energia renovável, contribuindo significativamente para a diversificação da matriz energética e a redução de emissões de gases de efeito estufa. Contudo, as turbinas eólicas enfrentam desafios que comprometem sua eficiência e confiabilidade, como o sobreaquecimento dos geradores, que reduz a vida útil e o desempenho dos equipamentos. Este estudo realizou uma análise bibliográfica sobre o problema de superaquecimento do gerador do modelo G97 de turbinas eólicas, com o objetivo de identificar as principais causas relatadas na literatura e avaliar possíveis melhorias no sistema de resfriamento. A metodologia incluiu revisão de artigos científicos, teses e relatórios técnicos publicados entre 2020 e 2024, utilizando bases como Lilacs, Scielo e Periódicos Capes. Dados quantitativos, como medições de temperatura e velocidade do vento, foram avaliados para identificar padrões, enquanto análises qualitativas exploraram práticas atuais e opiniões de operadores. Os resultados apontaram que o sobreaquecimento decorre de falhas no sistema de resfriamento, problemas de projeto, desgaste mecânico ou elétrico e condições ambientais adversas. Como estratégias de mitigação, destacam-se a otimização dos sistemas de resfriamento, o uso de emuladores eletrônicos para simular condições operacionais e a aplicação de técnicas avançadas de monitoramento e manutenção preventiva. Essas melhorias são essenciais para aumentar a eficiência e a longevidade das turbinas modelo G97, fortalecendo a sustentabilidade do setor eólico.
Estimación de la fecundidad en árboles de alta montaña con el empleo de vehículos aéreos no tripulados o drones
Authors: Olivares-Rosas Nubia Mayte , López-Mata Lauro , Arroyo-Cosultchi Gabriel
Published: December 2024

Los vehículos aéreos no tripulados (VANT) conocidos comúnmente como drones, son el resultado de la tecnología aeronáutica y robótica
Firmeza, sólidos solubles totales y potencial osmótico de hojas de siete especies de maguey con riego y sin riego
Authors: García-Nava Francisca , Peña-Valdivia Cecilia Beatriz , Trejo Carlos , García-Nava Rodolfo , Ramírez Tobías Hugo
Published: December 2024

El género Agave se distribuye en el sur de Estados Unidos, México, América Central, el Caribe y América del Sur. México es considerado su centro de origen y diversidad debido a que cuenta con 272 de las 310 especies reconocidas, de las que 135 son endémicas.
Tolerancia de la progenie de frijol silvestre y domesticado a temperaturas extremas
Authors: Morales-Santos Martha E. , Peña-Valdivia Cecilia B. , García-Esteva Antonio , Aguilar-Benítez Gisela , García-Nava Rodolfo
Published: December 2024

De acuerdo con los modelos predictivos, el cambio climático global impactará negativamente el desarrollo, la reproducción y el rendimiento en ecosistemas naturales y agrícolas.
An Expanded Survey of Seed Germination for Barro Colorado Island
Authors: Garwood Nancy C.
Published: December 2024

I present the largest survey of seed germination yet for Barro Colorado Island (BCI) and central Panama, based on 1,226 seed collections from 732 species, in 103 families, including trees, shrubs, lianas, vines, herbs, and epiphytes. Most collections were germinated in both sun and shade habitats in growing houses on BCI, simulating tree fall gap and shaded understory conditions. Many ad hoc treatments were also utilized. Data were collected during the field portion (1985–1989) of the BCI Seedling Flora Project. This publication marks the public release of the entire dataset, parts of which have previously been shared with BCI colleagues. I hope that this dataset will provide background information for those needing to produce seedlings from seed for experimental studies and that it will encourage others to incorporate seed germination as an additional plant trait into community analyses.
Crassulacean Acid Metabolism (CAM) Photosynthesis at Barro Colorado Island, Panama
Authors: Winter Klaus
Published: December 2024

Crassulacean acid metabolism (CAM) photosynthesis traditionally refers to the ability of plants to fix carbon dioxide (CO2) at night and to close the stomates for most of the day, thereby acquiring carbon at extremely low water cost. CAM is the apotheosis of photosynthetic adaptation to drought. Its functional significance is well documented for succulent species from warm semiarid regions. This chapter focuses on a lesser-known aspect of CAM, namely the taxonomically and functionally diverse CAM flora of the humid tropics, where despite high precipitation, CAM occurs in habitats with periodic water-deficit stress and especially among epiphytes. I introduce the CAM pathway, tabulate species capable of CAM from Barro Colorado Island, and review ecophysiological studies on these species. Attention is drawn to the substantial variation of the CAM phenotype, as in many species the CAM cycle is only weakly expressed and its contribution to carbon gain small.
Modeling of Forest Dynamics on Barro Colorado Island: Testing Grand Theories and Identifying Fundamental Mechanisms
Authors: Falster Daniel S.
Published: December 2024

By encoding explicit mechanisms, process-based models test our ability to explain observed phenomena. As the site of the first ForestGEO and 50-ha plot globally, located in a highly diverse and dynamic tropical forest, Barro Colorado Island (BCI) has naturally been a testbed for grand theories seeking to explain forest structure and dynamics, including the size distribution of trees, successional dynamics, and the rich diversity of cooccurring species and growth strategies. This chapter reviews how research using process-based forest models has helped us to identify and understand potential mechanisms underpinning these phenomena at BCI. During the lifetime of the BCI plot, size-based successional models have developed into rich, efficient simulators that are able to capture the structure of the forest and the effect of disturbances and begin to explain the diversity of growth forms observed.
The Relationship Between Self-Efficacy By Behavior Health Hypertension On Age Mature Young In the work area Public health center Dampit
Authors: Dhea rira  , Achmad Dafir Firdaus  , Kurnia Laksana
Published: December 2024

Penelitian ini menggambarkan pentingnya self-efficacy dalam mempengaruhi perilaku kesehatan terkait hipertensi pada usia dewasa muda di wilayah kerja Puskesmas Dampit. Dari hasil analisa data menunjukan bahwa adanya hubungan positif antara self-efficacy dengan perilaku kesehatan hipertensi. Ini berarti semakin tinggi tingkat self-efficacy, semakin baik perilaku kesehatan terkait hipertensi. Dengan nilai koefisien korelasi yang tinggi (r =0,678), hal ini menegaskan bahwa hubungan antara self-efficacy dan perilaku kesehatan terkait hipertensi sangat kuat. Ini mengindikasikan bahwa individu yang memiliki tingkat self-efficacy yang tinggi cenderung memiliki perilaku kesehatan yang lebih baik terkait hipertensi.Dari hasil ini, dapat disimpulkan bahwa meningkatkan tingkat self-efficacy dapat menjadi strategi penting dalam meningkatkan perilaku kesehatan terkait hipertensi pada populasi usia dewasa muda di wilayah tersebut. Terapi yang fokus pada peningkatan self-efficacy mungkin dapat meningkatkan kepatuhan terhadap pengobatan antihipertensi dan pengadopsian gaya hidup sehat, yang pada gilirannya dapat mengurangi risiko penyakit jantung dan pembuluh darah.
Giải pháp mới trong thiết kế mạch phối hợp trở kháng ứng dụng công nghệ SIW cho bộ khuếch đại công suất tần số cao
Authors: Đại Xuân Lợi  , Lương Duy Mạnh  , Vũ Lê Hà
Published: December 2024

Bài báo này đề xuất một giải pháp mới trong thiết kế mạch PHTK có tính năng lọc trên công nghệ ống dẫn sóng tích hợp chất nền SIW ứng dụng bộ cộng hưởng vòng kép CSRR. Bài báo đã đưa ra được quy luật thay đổi trở kháng của mạch lọc-PHTK khi thay đổi các tham số của vòng CSRR và đường truyền SIW. Bài báo cũng trình bày ứng dụng giải pháp đề xuất thiết kế mạch PHTK đầu ra cho một bộ khuếch đại công suất cao tần hoạt động ở 6 GHz. Mạch PHTK thiết kế có kích thước 12.6 x 8.2 mm và tổn hao chèn là 1.26 dB.
Nghiên cứu giải pháp mở rộng dải thông của bộ lọc thông dải ống dẫn sóng băng X ứng dụng trong ra đa thụ động
Authors: Lưu Đức Thọ  , Lương Văn Trình  , Nguyễn Công Oai
Published: December 2024

Hiện nay, các bộ lọc siêu cao tần được ứng dụng rộng rãi trong nhiều linh vực khác nhau. Trong các hệ thống ra đa, bộ lọc đóng vai trò quan trọng trong tuyến thu-phát, tuy nhiên để đảm bảo bộ lọc làm việc trong dải tần số rộng và tổn hao thấp là một vấn đề phức tạp. Trong bài báo này, nhóm tác giả trình bày các kết quả nghiên cứu, thiết kế bộ lọc thông dải ống dẫn sóng làm việc ở dải tần số 8 đến 12 GHz (băng tần X). Kết quả phân tích nguyên lý hoạt động, tính toán và mô phỏng trên phần mềm CST 2019 cho thấy bộ lọc thông dải hoạt động trên dải tần số rộng, đáp ứng yêu cầu trong các đài ra đa thụ động.
Comparison of analysis methods for separating and recognizing multicomponent radar signals
Authors: Nguyen Van Dat  , Duong Van Minh  , Nguyen Thi Phuong  , Nguyen Manh Hung
Published: December 2024

This paper proposes a model for separating and recognizing a mixture of radar signals using combined multiresolution methods and convolution neural networks. The model involves three main steps: separating the signal into individual components using the Multiresolution analysis (MRA) methods: Empirical mode decomposition (EMD), Variational mode decomposition (VMD), and Maximal overlap discrete wavelet packet transform (MODWPT); transforming these components into the time-frequency domain using Wigner-Ville distribution (WVD) and storing them as images; and then feeding these images into the SqueezeNet for recognition. These multiresolution methods are then compared based on three criteria: The number of successful separations, the SNR ratio of the input signal, and the correlation between the separated signal components and the original signal components. Additionally, we evaluate the performance of the SqueezeNet with real-time signals.
Applying closed-loop equations for kinematic analysis of an eight-bar walking mechanism
Authors: Dang Anh Tuan  , Nguyen Thi Thu Linh
Published: December 2024

Bionic mechanisms are used in constructing robotic systems that perform complex tasks similar to the movement of animals. With advancements in scientific research and breakthroughs in simulation techniques and computational methods, the design of these systems has become increasingly detailed and refined. This paper proposes using the closed-loop method to analyze the operational characteristics of a wheelless walking mechanism designed to traverse complex terrains. In addition to evaluating fundamental factors affecting system operation, the study determines kinematic parameters such as leg trajectory, movement velocity, and tilt angle. The results demonstrate the effectiveness of numerical methods in analyzing and simulating real-world systems, thus extending the use of computational tools for analyzing similar linkages.
Optimization of electric vehicle suspension parameters using improved artificial fish swarm algorithm
Authors: Nguyen Tien Dung  , Bui Van Cuong  , Le Van Quynh  , Hoang Anh Tan
Published: December 2024

This study proposes a solution to reduce vertical vibrations and body pitching in response to random road surface excitations. To achieve these objectives, a half-vehicle model of an electric vehicle (EV) is developed to determine optimal parameters for both the EV suspension system and the driver's seat suspension system. An Improved Artificial Fish Swarm Algorithm (IAFSA) is implemented using MATLAB software to optimize these suspension parameters. The optimization aims to minimize the root mean square (RMS) values of three objective functions: vertical driver's seat acceleration (aws), vertical vehicle body acceleration (awb), and pitching vehicle body acceleration (awphi). The optimization results reveal that the values of these three objective functions decrease when using the optimized suspension parameters compared to the original suspension settings. Specifically, the aws, awb and awphi values are reduced by 15.44%, 11.46%, and 8.65%, respectively, when the vehicle travels on an ISO road class B at a speed of 20 m/s with a full load. Furthermore, the peak amplitude values of as, ab, and aphi in the frequency domain are also reduced with the optimized suspension parameters compared to the original settings under the specified conditions.
Quy luật tăng áp suất của quá trình tương tác giữa các sóng trong một số hỗn hợp chất lỏng chứa bọt hơi
Authors: Nguyễn Văn Tuấn  , Lê Xuân Long
Published: December 2024

Hiện tượng tăng áp suất của quá trình tương tác sóng có ảnh hưởng lớn tới việc vận chuyển dầu khí trong công nghiệp năng lượng, trong hệ thống truyền dẫn thủy lực của ô tô và máy chuyên dùng. Bài báo này trình bày về hiện tượng tăng áp suất do tương tác giữa các sóng ngắn trong hỗn hợp của dầu thô chứa bọt hơi và ni tơ lỏng chứa bọt hơi. Quá trình tương tác sóng được mô tả bởi hệ phương trình thủy nhiệt động lực học. Phương pháp số đã được sử dụng để tính toán, nghiên cứu và phân tích sự ảnh hưởng của nồng độ thể tích pha hơi trong hỗn hợp đến sự tăng áp suất của quá trình tương tác sóng. Từ các kết quả nhận được về sự phụ thuộc của áp suất hỗn hợp vào nồng độ thể tích pha hơi tại thời điểm tương tác sóng, quy luật tăng áp suất của quá trình tương tác của các sóng ngắn trong các hỗn hợp chất lỏng chứa bọt hơi như trên sẽ được xác định.
Numerical analysis of temperature behavior in solid and ventilated brake discs during repetitive braking
Authors: Do Van Quan  , Le Van Quynh  , Nguyen Minh Chau
Published: December 2024

The braking system is one of the crucial systems in a vehicle, responsible for decelerating it to a lower speed or bringing it to a complete stop. During braking, the friction between the brake pads and the brake disc generates heat, most of which is absorbed by the brake disc rather than dissipated. Consequently, the brake disc can rapidly accumulate significant heat, especially during repeated cyclical braking, leading to high-temperature regions. Under these conditions, several negative effects, such as brake disc wear, cracking, and reduced braking torque, may occur. This paper aims to compare the thermal behavior of solid and ventilated brake discs under repeated cyclical braking. Numerical simulations were conducted using ANSYS software, revealing that the maximum temperatures on the solid and ventilated discs during the final braking cycle were 252.61 °C and 221.12 °C, respectively. Therefore, the maximum temperature on the ventilated disc is approximately 12.5% lower than on the solid disc. These findings demonstrate that ventilated discs are effective in demanding conditions, consistently ensuring a high level of safety.
Đặc trưng tính chất pectin tách chiết từ thân cây thanh long ở vùng Bình Thuận, Việt Nam và phương pháp tạo gel
Authors: Trần Phương Chiến  , Lê Anh Kiên  , Võ Thị Bích Ngọc  , Hồ Thị Vân Anh  , Huỳnh Thị Kim Chi  , Nguyễn Hoàng Phúc  , Hoàng Thị Kim Dung
Published: December 2024

Pectin được chiết xuất từ thân cây thanh long ở điều kiện pH 3, nhiệt độ 70 ℃ trong 180 phút cho hiệu quả chiết cao nhất với 19,52%. Các tính chất đặc trưng của pectin cũng được khảo sát để định hướng ứng dụng tạo gel và xác định cấu trúc hóa học. Trong đó, độ ẩm là 10,5%, đạt điều kiện độ ẩm nằm trong khoảng 12% được hiệp hội sản xuất pectin khuyến nghị. Kết quả phân tích FTIR đã xác định được các nhóm chức đặc trưng trong cấu trúc Pectin như nhóm O-H, carboxyl (C=O), C-H. Từ kết quả FTIR cũng đã xác định được độ ester hóa DE = 32,1%, là loại low methoxyl pectin (LMP), phù hợp vào ứng dụng tạo gel pectin nhờ các ion hóa trị 2. Phân tích hàm lượng đường trong pectin thanh long cũng giải thích sơ bộ về cấu trúc hóa học
Giải pháp thiết lập nhanh kính ngắm TZK cải tiến tích hợp trong hệ thống điều khiển hỏa lực phòng không cơ động
Authors: Phạm Chí Thành  , Lê Đức Anh  , Vũ Quốc Huy
Published: December 2024

Bài báo đề xuất giải pháp bổ sung cảm biến đo nghiêng và la bàn điện tử cho kính ngắm TZK, tích hợp vào hệ thu thập và xử lý dữ liệu của kính ngắm. Bài báo cũng đề xuất giải pháp mới, theo đó chỉ sử dụng góc nghiêng tại thời điểm thiết lập để đảm bảo an toàn dữ liệu. Việc xử lý dữ liệu góc nghiêng trực tuyến chỉ nhằm giám sát sự thay đổi tư thế, làm điều kiện thiết lập lại kính ngắm trong hệ tọa độ cố định mặt đất. Với giả thiết mục tiêu được gắn chặt vào điểm cuối của véc tơ đường ngắm, bằng hình học giải tích và các phép quay góc Ơ-le, thuật toán thiết lập nhanh và thuật toán thiết lập lại được xây dựng. Góc mục tiêu trong hệ tọa độ cố định mặt đất được xác định, cung cấp đầu vào cho hệ thống điều khiển hỏa lực phòng không cơ động. Kết quả nghiên cứu được đảm bảo toán học chặt chẽ và mô phỏng trực quan trên Matlab.
Điều khiển trượt toàn cục kết hợp quan sát trạng thái mở rộng trong bám độ trượt bánh xe
Authors: Đàm Hữu Mạnh  , Nguyễn Xuân Nam  , Phạm Xuân Đức  , Nguyễn Thế Anh  , Lê Đức Thịnh  , Nguyễn Tùng Lâm
Published: December 2024

Hệ thống chống bó cứng phanh (ABS) là một bộ phận quan trọng được thiết kế để duy trì lực kéo của bánh xe trong quá trình phanh, tăng cường sự an toàn cho xe bằng cách ngăn chặn hiện tượng bó cứng bánh xe. Nhằm nâng cao hiệu suất của hệ thống ABS, nghiên cứu này đề xuất một chiến lược điều khiển trượt toàn cục (GSMC) cải tiến. Cụ thể, bộ điều khiển này được thiết kế dựa trên luật tiếp cận hàm mũ mới, giúp loại bỏ thành phần đưa biến trạng thái tiến về mặt trượt và đảm bảo hiệu suất mạnh mẽ cho quá trình đáp ứng của hệ thống so với bộ điều khiển trượt (SMC). Đồng thời, bộ quan sát trạng thái mở rộng (ESO) được sử dụng kết hợp với GSMC để ước lượng tổng thành phần bất định tác động lên hệ thống. Kết quả mô phỏng đã chứng minh tính khả thi của chiến lược điều khiển đề xuất, giúp đạt độ trượt bánh xe mong muốn và giảm thời gian phanh.
Biopolymer immobilization enhanced the survival of lactobacillus casei ATCC334 in mangosteen probiotic beverage
Authors: Kadum Hana , Muhialdin Belal J
Published: December 2024

This study aimed to enhance the viability of Lactobacillus casei ATCC334 in highly acidic fruit juice via an immobilization process using coconut meat insoluble fibres. Immobilized probiotics were introduced to mangosteen juice, and the probiotics' viability was evaluated for 4 weeks at 4°C. The immobilized probiotics were studied for their effects on the beverage's physicochemical and rheological properties and metabolites. Mangosteen with immobilized probiotics showed increased probiotic viability, lower glucose, fructose, and sucrose reduction, lower production of lactic acid, and higher pH than the control. The cell count of the immobilized probiotics was log10 9.25 CFU mL-1 and the free cell probiotics was log10 7.89 CFU mL-1 after 4 weeks at 4°C. The results illustrated that coconut meat insoluble fibres can be used to immobilise probiotics with enhanced viability and improved metabolites that enhance consumer acceptability and product quality.
Using Context-Based Learning to Enhance Thai Grade 6 Student Scientific Reasoning Abilities
Authors: Rantong Thatsaniya , Sarnkong Rattikan
Published: December 2024

The purpose of this study was to examine the impact of a context-based learning (CBL) management plan on the scientific reasoning abilities of Grade 6 students in Thailand. The participants consisted of 13 students from a public school in the northeastern region. The research instruments included a two-tier multiple-choice test to assess scientific reasoning abilities and an observation checklist to monitor reasoning behavior during the learning sessions. Data were analyzed using descriptive statistics, including frequency, percentage, and relative development scores, to measure student improvement. The results indicated a significant increase in students' scientific reasoning abilities, with an average score improvement from 13.14% before the intervention to 56.00% after. The majority of students demonstrated moderate to high improvement in their reasoning skills. This study contributes to the growing body of evidence supporting the effectiveness of context-based learning in enhancing critical thinking and problem-solving skills in science education.
An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research Using R
Authors: Alqahtani Hanaa
Published: December 2024

Jerid Francom’s book An Introduction to Quantitative Text Analysis for Linguistics: Reproducible Research Using R is an essential textbook for researchers and students alike, who are exploring quantitative text analysis. This book is designed with beginners in mind, it emphasizes reproducible research, offering a structured approach to text analysis through the programming language R. Spanning five interconnected parts, beginning with foundational concepts like the Data-Information-Knowledge-Insight (DIKI) hierarchy, corpus creation, and data curation, advancing to topics like tokenization, dimensionality reduction, vector space modeling, and hypothesis testing with the {infer} package. This book contains practical exercises alongside detailed explanations that guide readers through the entire process of text analysis, starting from data acquisition to predictive modeling and statistical designs. Computational methods including readability measures, sentiment analysis, semantic modeling, and topic modeling are highlighted within this book, ensuring that readers are equipped to extract meaningful insights from linguistic data. Through the incorporation of Tidyverse tools and additional resources like GitHub repositories, Francom successfully bridges theoretical understanding with hands-on application. Transparency and reproducibility have been prioritized within the text, and meticulous data documentation and open-source methodologies have been meticulously advocated by the author. Although the book is an accessible resource for English-language data, readers might be challenged due to its focus on breadth over depth when their focus might be on seeking advanced exploration or on the other hand for those without basic programming experience. Regardless of this, Francom’s pedagogical approach combines clarity with practical guidance, making this book a valuable resource for students, researchers, and professionals who aim to integrate quantitative methods into their linguistic research.
Para defender la estética de Juan Valera
Authors: Franz Thomas R.
Published: December 2024

Desde la época cumbre del Realismo-Naturalismo hasta el activismo de hoy se ha sometidio el Idealismo de Juan Valera a una dura crítica. Sin embargo, sus retratos intimistas y la creación de la belleza pura se basan no solo en firmes principios filosóficos sino también en una profunda visión subyacente que su época suele obligarle a ocultar.