bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGEMBANGAN BAHAN AJAR DIGITAL KONTEKS LAHAN BASAH MATERI LUAS PERMUKAAN DAN VOLUME BANGUN RUANG
Authors: Normadaniah Riska , Karim Karim , Budiarti Indah
Published: August 2023

Keterbatasan interaksi guru dan siswa akibat pandemic covid-19, membuat proses pembelajaran kurang maksimal. Materi yang dianggap sulit yaitu bangun ruang sisi datar karena memiliki cakupan materi yang banyak dan bersifat abstrak. Saat melakukan pembelajaran jarak jauh siswa juga terbatas dalam memahami konsep pembelajaran karena adanya kendala jaringan internet di daerah tempat tinggal siswa. Oleh karena itu diperlukan bahan ajar yang bisa digunakan siswa secara offline yang mudah dipahami. Penelitian ini bertujuan untuk menghasilkan bahan ajar digital berbasis android dengan konteks lingkungan lahan basah pada materi luas permukaan dan volume bangun ruang sisi datar. Pada penelitian ini akan dilakukan uji validitas oleh tiga orang validator. Metode penelitian yang digunakan ialah pengembangan Research and development (R&D) dengan model 4D, namun hanya dibatasi sampai tiga tahap yaitu Define, Design, Develop. Pada penelitian ini akan dilakukan uji validitas oleh tiga validator. Dari hasil validasi materi, untuk tingkat kelayakan materi dari aspek konteks/isi dengan nilai validitas 85,4%, kelayakan bahasa dengan nilai validitas 93,75%. Pada aspek kelayakan penyajian dengan nilai validitas 87,5%. Sehingga dari hasil penelitian ahli materi terhadap bahan ajar masuk dalam kriteria Sangat Layak dengan nilai validasi total 87,5%. Data hasil validasi media diperoleh total 77,2% dengan kriteria Layak. Dengan demikian, diperoleh bahan ajar digital berbasis android dengan konteks lingkungan lahan basah pada materi luas permukaan dan volume bangun ruang sisi datar yang layak digunakan.
PENGEMBANGAN SOAL LITERASI MATEMATIKA BERBASIS PROFIL PELAJAR PANCASILA UNTUK SISWA SMP/MTS
Authors: Tarisa Siti , Pasani Chairil Faif , Juhairiah Juhairiah
Published: August 2023

Kemampuan literasi matematika siswa Indonesia masih rendah berdasarkan hasil Programme for International Student Assessment (PISA). Salah satu penyebabnya adalah jarangnya siswa Indonesia diberikan soal-soal berbentuk literasi matematika seperti yang diujikan PISA. Penggunaan konten profil pelajar Pancasila yang menjadi ciri khas pembentukan karakter pada kurikulum merdeka dinilai dapat menarik minat siswa untuk mengerjakan soal literasi matematika sehingga perlahan diharapkan akan meningkatkan kemampuan literasi matematika. Tujuan penelitian ini adalah untuk menghasilkan soal literasi matematika berbasis profil pelajar Pancasila yang valid dan reliabel. Penelitian ini menggunakan model penelitian pengembangan Tessmer tipe formative research dengan 2 tahap yaitu preliminary dan formative evaluation. Subjek uji coba penelitian adalah 31 siswa kelas IX D SMP Negeri 6 Banjarmasin. Teknik pengumpulan data menggunakan lembar validasi dan angket respon siswa. Produk yang dikembangkan dinilai oleh 3 validator ahli diperoleh skor validitas logis sebesar 3,76 yang masuk dalam kategori valid. Sedangkan validitas empiris butir soal didapatkan 13 soal valid dan 17 soal tidak valid. Uji reliabilitas soal diperoleh skor 0,77 yang masuk dalam kategori reliabel. Penelitian ini menghasilkan 13 soal literasi matematika berbasis profil pelajar Pancasila yang valid dan reliabel.
Real-Time Correction of the Frequency Response of a Public Address System
Authors: Dvornyk Oleksandr Oleksandrovych
Published: August 2023

Correcting the public address (PA) system during a concert event is one of the crucial tasks in ensuring acoustic comfort. However, the existing approaches to such correction do not allow for real-time adaptation to changes in the acoustic properties of the venue that occur during the event. To address this limitation, this article proposes the use of a multiband compressor. It is shown that a zero-latency VST plugin can serve as a multiband compressor. Pink noise can be used as a test signal for system calibration. The results of testing the proposed algorithm, conducted through model and real-world experiments, demonstrate the feasibility and effectiveness of the proposed approach.
AXIOLOGICAL DIMENSION OF HIGHER EDUCATION IN UKRAINE AND THE IMPACT IT MAKES ON ITS DEVELOPMENT
Authors: Maslova Tetiana , Kolomiiets Svitlana
Published: August 2023

The article presents the main principles of the axiological approach to the formation of the content of higher education in the context of current global trends and challenges caused by the modernization of the educational environments in Ukraine and the EU. The socio-economic, political, technological and cultural transformations that have been taking place in the world over the recent decades have had a significant impact on the development of education. In 2018, the EU adopted the key competencies for lifelong learning, including digital competence and entrepreneurship, which were introduced for the first time. This demonstrates that in order for the graduates to be employed universities have to respond quickly to the new labour market requirements and promote the formation of a competitive personality that has well-developed life, career and study skills. The EU-Ukraine Association Agreement was signed in 2014, and since then the cooperation between Ukrainian and European educational institutions has got intensified. In this respect, it is vital to consider the axiological aspects of higher education and the determination of value components of the content and criteria of high quality education. By definition, the axiological approach proclaims the human being as the highest value of society and allows integrating the development of universal, national, professional and personal values in the educational process. The university is able to be the environment where the formation and consolidation of the value sphere of the individual takes place. The content of the value component of education is formed at the state level within regulatory documents and at the university level within the framework of educational and professional programs, training courses, compulsory and elective disciplines. However, formal copying of the value-based education of other countries cannot bring the desired results, as the factors that determine which values are the basis for the content of higher education in European countries differ from those in Ukraine. A comparative analysis of the value component of the content of university education in Ukraine and the EU countries shows that national traditions of lifestyle, production practice, politics and culture are essential the development of education
PIBID LÍNGUA PORTUGUESA: CONTRIBUIÇÕES E DESAFIOS EM OFICINAS REMOTAS NO TOCANTINS
Authors: Bezerra Burjack Yury , Da Silva Cruz de Almeida Deuzanira , Carvalho Capuchinho Adriana
Published: August 2023

Abordamos a experiência vivenciada durante as atividades desenvolvidas em uma escola estadual em Porto Nacional, em 2021, com graduandos de Letras da Universidade Federal do Tocantins. no Programa Institucional de Iniciação à Docência (PIBID 2020/2022). O gênero textual notícia foi escolhido para ser trabalhado on-line, dado o distanciamento social em prevenção à Covid-19. Os pibidianos, partindo da sequência didática elaborada pelos supervisores baseada na proposta de Dolz, Noverraz e Schneuwly (2004), elaboraram os planos dos módulos e suas atividades, a serem desenvolvidos com os estudantes. O público-alvo foram alunos do 6º aos 9º anos do ensino fundamental. Trabalhar o gênero, visou despertar nos educandos a criticidade em relação às percepções de mundo e da sociedade na qual se encontram inseridos enquanto cidadãos. A metodologia aplicada nas oficinas está embasada no uso dos recursos tecnológicos para leitura e produção multimodais nas competências da BNCC (BRASIL, 2018) e perspectiva dos multiletramentos (ROJO, 2015), como as plataformas e materiais didáticos digitais. As atividades desenvolvidas maneira remota, via Google Meet com a produção final de uma notícia publicada no blog da escola. Tivemos resultados positivos, como a produção no blog, e negativos, como a dificuldade de interação síncrona online.
GEOTECNOLOGIAS COMO RECURSO DIDÁTICO NAS AULAS REMOTAS DE GEOGRAFIA
Authors: Antero Roberto , Pereira Lima Marcela , Da Silva Ferreira Naiane , Vitoria Silva Alves de Souza Jessica , Sousa Barbosa Lucas
Published: August 2023

O objetivo desse estudo foi debater sobre o uso de geotecnologias como recurso didático para aulas de Geografia na educação básica. É resultado de experiências vivenciadas através do Programa de Bolsas de Iniciação a docência (PIBID) durante da pandemia de Covid -19. A metodologia utilizada foi revisão de literatura e uso de informações contidas no relatório de realização da ação denominada “semana do meio ambiente”, realizada por licenciandos do PIBID. Ocorreu de forma remota, utilizando equipamentos tecnológicos para sua transmissão e efetivação, fazendo uso de geotecnologias que direcionavam o conteúdo curricular para o cotidiano do aluno. Como resultado, destacamos a relevância do uso de geotecnologias e conteúdo que trazem a realidade dos alunos para de ensino de geografia. Evidenciamos a riqueza de experiência docente proporcionada aos estudantes de licenciatura, em sua inserção na escola pública, pois tornam-se protagonista dos desafios e superação dos problemas identificados no ensino e aprendizagem. Destacamos também a necessidade avanços na implementação das tecnologias na educação, e que o processo em curso, ainda que tenha sido impulsionado pela pandemia, não pode retroceder.
O USO DE BLOGS COMO RECURSO EDUCACIONAL NO PIBID DE LÍNGUA PORTUGUESA
Authors: De  Miranda e Silva Ana Laura , Batista Galvão Gabriel , Capuchinho Adriana Carvalho
Published: August 2023

Neste relato, objetivamos descrever nossa experiência quanto ao uso do blog como recurso educacional em atividades remotas realizadas no Pibid de Língua Portuguesa da UFT. A ação desenvolvida em oficinas remotas apoiou-se na BNCC (BRASIL, 2018), na pedagogia dos multiletramentos (ROJO, 2012; KALANTIZIS, COPE, PINHEIRO, 2020) e na proposta de sequências didáticas para produção textual (DOLZ, NOVERRAZ, SCHNEWLY, 2004).   O blog manifesta-se como recurso eficaz no apoio educacional, pois propicia uma gama de possibilidades ao docente como agente pedagógico, além de permitir agência aos estudantes que podem produzir conteúdo a partir de suas pesquisas e das orientações do professor. Assim, o blog cooperou para o conhecimento e desenvolvimento cognitivo dos discentes. Através da pesquisa, criação e aplicação de sequência didática em videoconferências para execução de notícias e postagens multimodais por estudantes de uma escola de Porto Nacional, foi possível constatar que o blog é um recurso potencial, pois introduziu o uso da tecnologia em práticas multiletradas tornando o ambiente educacional mais colaborativo e atrativo, além de impulsionar a troca de saberes entre docentes e discentes, o que também viabiliza o apoio interdisciplinar.

Palavras-chave: Blog, Ensino de Língua Portuguesa, Multiletramentos
A CIÊNCIA E O SENSO COMUM A PARTIR DA PERCEPÇÃO DOS ESTUDANTES DA ESCOLA FAMÍLIA AGRÍCOLA DE PORTO NACIONAL – TO
Authors: De Oliveira Hugo Rivas , Barbosa Caroline Camara Araujo Santos , Dos Santos Daniela Bandeira , Fontoura Fernanda Lemos , Dos Santos Lucimara Monteiro , Kellen Lagares Ferreira Silva  , Seibert Carla Simone
Published: August 2023

Atualmente vivenciamos um período de disseminação do conhecimento facilitado pelas redes sociais, contudo, ainda há dificuldade no entendimento do conhecimento construído com base nas evidências científicas e aquele do senso comum. Portanto, o principal objetivo deste trabalho foi avaliar se existem diferenças na concepção dos estudantes secundaristas da Escola Família Agrícola de Porto Nacional – TO, sobre o que é o conhecimento científico e do senso comum. A coleta de dados foi composta por uma amostra de 40 estudantes e ocorreu com a aplicação de um questionário virtual. Percebeu-se que os secundaristas sabem diferenciar o conhecimento científico do senso comum, mas compreendem a ciência como conhecimento superior. Foi evidenciado que os estudantes secundaristas não atribuem grande confiança em informações oriundas das redes sociais, dando mais ênfase às fontes confiáveis para acessar o saber científico, e reconheceram a escola como espaço de obtenção de conhecimento.
Multiple individuals incubating and nest building, and winter breeding, in the Black-chinned Honeyeater Melithreptus gularis
Authors:   Centre for Biodiversity and Conservation Science, University of Queensland, St Lucia QLD 4072, Australia., Noske Richard
Published: August 2023

The role of the male and female in the incubation of eggs is unknown in 30 of the 70 species of Australian honeyeaters, but in most of the remainder, only the female is thought to incubate. Nevertheless, incubation by both male and female is known to occur in six species, including the Brown-headed Honeyeater Melithreptus brevirostris. I observed and video-recorded activities at two nests of one group of four Black-chinned Honeyeaters M. gularis gularis in south-eastern Queensland. Nest attentiveness (incubation constancy) averaged 88% over three sample days. At least two birds participated in incubation, as evidenced by numerous change-overs, strongly suggesting that both male and female were involved. Incubation bouts averaged 7.2 minutes, but varied significantly over the 3 days, and off-bouts averaged 1.3 minutes but did not vary significantly. Nestling provisioning rates varied from 7.5 to 14.4 feeds h-1 on the fourth and thirteenth days after the estimated hatching day. Although cooperative breeding could not be confirmed, up to three birds were seen at this nest during the nestling stage, and up to three at the second nest before incubation began. Breeding records indicate that in south-eastern Queensland laying peaks in winter, beginning in late autumn, 2 months earlier than records suggest in New South Wales.
Chronic Effects of Eccentric-overload Training with Inertial Devices on Adolescents’ Physical Capacities in Team Sports: A Systematic Review
Authors: Lopez Mariscal Samuel , Reina Gomez Alvaro , Suárez-Arrones Luis , Ortega-Becerra Manuel Alejandro
Published: August 2023

Inertial training is one of the most popular training methodologies in the last years and one of the objects of study in recent literature, however more studies are necessary to know its usefulness in young athletes. The aim of the current systematic review is to evaluate the current literature surrounding the chronic effect of inertial training on physical capacities of team sports through functional test. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA). The results revealed the effectiveness of these tools for improving abilities such jumps, sprints, change of directions and power measure. In conclusion, inertial training can be an adequate stimulus for the better performance in young athletes on team sports.
Net Energy Gain from a Berry Geometrical Phase – Low-Energy Perturbations of the Strong Interaction and the QCD Mass Gap
Authors: Gibbons Mark
Published: August 2023

Berry curvature is deemed responsible for generating mechanical work in a strongly metastable system containing dynamically responsive clathrate hydrate structures within a crystal-fluid material. High energy degeneracy in the associated chemistry produces local stability and false vacuum conditions that lead to non-extensive and non-additive contributions in the fundamental thermodynamic relation, despite the crystal-fluid material maintaining almost constant density. The reciprocating action of a piston expander also confirms a net energy gain. Hyperbolic curvature produces non-extensive volume changes and is attributed to gluon emission and reabsorption in a U(2) electroweak symmetry group synchronized across the condensed matter system, the embedding vacuum manifold and associated quantum interactions. The property of asymptotic freedom is apparent across these three domains providing evidence for scale-invariance that dominates both the macro- and micro-scales of an associated Ginzburg-Landau superconducting phase transition. External pressure perturbations of the low-energy system initiate ‘rolling’ critical responses that conserve energy and momentum across the synchronized U(2) group and also reveal an emergent gauge field. Corresponding emergence of the Ginzburg-Landau superconducting phase transition is consistent with gauge-invariant coupling of this scalar field to the Yang-Mills action of QCD. The discovery of an energy gap in the gradient energy term of the system Lagrangian is associated with a critical correlation length and consistent with a complex energy band gap in the Berry phase. Coupled with the emergence and absorption of the Higgs-like scalar field, a mechanism for describing the QCD mass gap arises.
Geometrized Vacuum Physics. Part III. Curved Vacuum Area
Authors: Batanov-Gaukhman Mikhail
Published: August 2023

This article is the third part of a scientific project under the general title "Geometrized vacuum physics based on the Algebra of Signatures". In the first two papers [1,2], the ideal (i.e., non-curved and immobile) local region of vacuum was studied and the foundations of the Algebra of Signatures were laid. This article considers the possibilities of describing the curved and moving state of the same vacuum region on the basis of the mathematical apparatus of the Algebra of Signatures. The reasons for the multilateral consideration of vacuum and twisting of intra-vacuum processes into spiral bundles are disclosed. The 4-tensor is introduced for two-sided and 16-sided consideration of the curvature of the local vacuum region. On the basis of kinematic models, the following assumptions were made: about the inert properties of vacuum layers; about the possibility of displacement of vacuum layers relative to each other at a speed significantly exceeding the speed of light; about the possibility of "rupture" of the local region of vacuum. The proposed kinematic models of the movement of vacuum layers can be a theoretical basis for the development of "zero" (i.e., vacuum) technologies.
Humoral Immune Responses in Patients with Severe COVID-19: A Comparative Study between Individuals Infected by SARS-CoV-2 during the Wild-Type and the Delta Periods
Authors: Sukhova Maria M , Byazrova Maria , Mikhailov Artem , Yusubalieva Gaukhar , Maslova Irina V , Belovezhets Tatyana , Chikaev Nikolay , Vorobiev Ivan , Filatov Alexander
Published: August 2023

Since the onset of the COVID‐19 pandemic, humanity has experienced the spread and circulation of several SARS-CoV-2 variants that differed in transmissibility, contagiousness, and the ability to escape from vaccine-induced neutralizing antibodies. However, issues related to the differences of variant-specific immune responses, remain insufficiently studied. The aim of this study was to compare the parameters of the humoral immune responses in two groups of patients with acute COVID-19 who were infected during the circulation period of the D614G and the Delta variants of SARS-CoV-2. Sera from 48 patients with acute COVID-19 were tested for SARS-CoV-2 binding and neutralizing antibodies using six assays. We found that serum samples from the D614G period demonstrated 3.9‐ and 1.6‐fold increase in RBD- and Spike‐specific IgG binding with Wild type antigens compared with Delta variant antigens (p < 0.01). Cluster analysis showed the existence of two well-separated clusters. The first cluster mainly consisted of D614G period patients and the second cluster predominantly included patients from Delta period. The results thus obtained indicate that humoral immune responses in D614G- and Delta-specific infections can be characterized by variant-specific signatures. This can be taken into account when developing new variant-specific vaccines.
ASVMR: Adaptive SVM-Based Routing Protocol in the Underwater Acoustic Sensor Network for Smart Ocean
Authors: Zhang Shuyun , Chen Huifang , Xie Lei
Published: August 2023

Underwater acoustic sensor network (UASN) plays a crucial role in collecting real-time data from remote areas of the ocean. However, deploying the UASN is a challenging problem due to the harsh environment and high deployment cost. Therefore, it is essential to design an appropriate routing protocol to effectively address the issues of routing void, packet delivery delay, and energy utilization. In this paper, an adaptive support-vector-machine-based routing (ASVMR) protocol is proposed for the UASN to prolong the network lifetime and reduce the end-to-end packet delivery delay. The proposed protocol employs a distributed routing approach that dynamically optimizes the routing path in real-time by considering four types of node state information. Moreover, the ASVMR protocol establishes a "routing vector" spanning from the current node to the sink node, and selects a suitable pipe radius according to the packet delivery ratio (PDR). In addition, the ASVMR protocol incorporates future states of sensor nodes into the decision-making process, along with the adoption of a waiting time mechanism and routing void recovery mechanism. Extensive simulation results demonstrate that the proposed ASVMR protocol performs well, in terms of the PDR, the hop count, the end-to-end delay, and the energy efficiency in dynamic underwater environments.
Glycerol Steam Reforming Optimization in a Pilot Plant
Authors: González Juan Félix , Álvarez Murillo Andrés , González Arroyo Álvaro , Nogales-Delgado Sergio
Published: August 2023

Keywords: glycerin; Ni-based catalyst; lanthanum; semi-industrial scale; hydrogen production; biorefinery; monitoring.
An Automatic Internal Wave Recognition Algorithm Based on CNN Applicable to an Ocean Data Buoy System
Authors: Yuan Guozheng , Ning Chunlin , Liu Lin , Li Chao , Liu Yanliang , Sangmanee Chalermrat , Cui Xuerong , Wangle Jiuke , Zhao Jinkai , Gong Xiang , Du Xing , Yu Weidong
Published: August 2023

The internal wave recognition algorithm in an ocean data buoy system can be used to realize the real-time and flexible observation of internal waves, but there is no accurate automatic recognition method. To meet the need for automatic, real-time, and reliable internal wave recognition, an automatic internal wave recognition algorithm has been proposed for a tightly profiled intelligent buoy system. The sea profile temperature data collected by the Bailong buoy system in the Andaman Sea in 2018 were used to train and test the internal wave recognition neural network model, which consists of two parts: feature extraction and feature classification. The experiment compares the long short-term memory network (LSTM), convolutional neural network (CNN) with different layers, and deep neural network (DNN) without a feature extraction network and adjusts the number of convolutional nuclei and convolutional strides to improve the feature extraction efficiency. Experiments show that the best results can be obtained when a CNN layer is used as the feature extraction network, the convolutional step length is 4, the number of convolutional kernels is 5. The recall reaches 95.31% and the precision is 97.53%. The internal wave identification delay of the algorithm is 5.0862 minutes, the number of parameters is 1593, and the number of calculations is 3024. The algorithm can be directly deployed to the ocean data buoy system to realize the demand for automatic, real-time and reliable internal wave identification at the buoy end.
Development of Polycistronic Baculovirus Surface Display Vectors to Simultaneously Express Viral Proteins of Porcine Reproductive and Respiratory Syndrome and Analysis of Its Immunogenicity in Swine
Authors: Hsu Chao Yu , Jang Yun , Huang Wei Ru , Wang Chi Young , Wen Hsiao Wei , Tsai Pei Chien , Yang Cheng Yao , Munir Muhammad , Liu Hung Jen
Published: August 2023

Keywords: Porcine reproductive and respiratory syndrome virus, baculovirus surface display vectors, neutralizing antibody, IFN-γ, IL-4.
SOX-11 and Epithelial-Mesenchymal Transition in Metastatic Serous Ovarian Cancer
Authors: Psilopatis Iason , Schaefer Jule Ida , Arsenakis Dimitrios , Bolovis Dimitrios , Levidou Georgia
Published: August 2023

Background: Ovarian cancer is the leading cause of death from gynecological malignancies with serous carcinoma being the most common histopathologic subtype. Epithelial-Mesenchymal Transition (EMT) correlates with an increased metastatic potential, whereas the transcription factor SOX11 is overexpressed in diverse malignancies. Methods: In the present study, we aim to evaluate the potential role of the immunohistochemical expression of SOX11 in 30 serous ovarian carcinomas in association with E-cadherin and Vimentin expression as well as with patients’ clinicopathological data. Results: Most of the examined cases showed concurrent expression of E-cadherin and Vimentin, whereas SOX11 was expressed in a minority of the cases (26,7%). Interestingly, the positive cases had more frequently a metastatic disease at the time of diagnosis compared to the negative cases (p=0.09), an association, however, of marginal significance. Moreover, there was a negative correlation between E-Cadherin and SOX11 expression (p=0,0077) and a positive correlation between Vimentin and SOX11 expression (p=0,0130). Conclusions: The present work, for the first time, provides preliminary evidence SOX11 overexpression alongside E-cadherin loss in the promotion of EMT in serous ovarian cancer, thereby endorsing tumor metastasis.
Applying Data Analytics to Analyze Activity Sequences to Assess Fragmentation in Daily Travel Patterns—A Case Study in the Metropolitan Region of Barcelona
Authors: Montero Lídia , Mejia-Dorantes Lucia , Barceló Jaume
Published: August 2023

Sequence analysis is a robust methodological framework that has gained popularity in various fields, including transportation research. It provides a comprehensive approach to understanding the dynamics and patterns of individual behaviors over time. In the context of the Metropolitan Region of Barcelona, applying sequence analysis to the mobility surveys offers valuable insights into the sequencing and order of travel activities and modes, shedding light on the complex interrelationship between individuals, their travel choices, and the built environment. The Barcelona travel surveys collect detailed data on individuals' travel behavior, such as trip purpose, duration, mode of transportation, and origin-destination pairs. Sequence analysis allows for examining travel behaviors as dynamic processes, unveiling travel patterns' underlying structure and evolution in a day. A data analytics methodological approach is described; it enables the identification of common travel patterns and the exploration of variations across different demographic groups or geographical regions. Sequence analysis reveals insights into the factors influencing mode choice and potential opportunities for sustainable transport interventions. The paper proposes a methodological approach to discover homogeneous travel behavioral segments from diaries included in travel surveys in order to refine transport policies to selected segments by transportation planners and authorities
Snow Cover Variability in Brunswick Peninsula, Patagonia, Derived from a Combination of Spectral Fusion, Mixture Analysis and Temporal Interpolation of MODIS Data
Authors: Aguirre Francisco , Bozkurt Deniz , Sauter Tobias , Carrasco Jorge , Schneider Christoph , Jaña Ricardo , Casassa Gino
Published: August 2023

Seasonal snow cover is a fundamental component of both the global energy budget and the water cycle. Its properties such as fractional snow cover or albedo are particularly affected by climate change. Several methods based on satellite data products are available to estimate these properties, each one with its pros and cons. This work presents a novel methodology that integrates three indexes applied to MODIS satellite data (Spectral Mixture Analysis (SMA), Normalized Difference Snow Index (NDSI) and Melt Area Detection Index (MADI)), to perform a spatio-temporal reconstruction of the fractional snow cover and albedo at 250 m spatial resolution in the Brunswick Peninsula, southwest Patagonia during the cold season (April-October) for the period 2000-2020. Three main steps are included: (1) the increase of the spatial resolution of MODIS (MOD09) data to 250 m using a spectral fusion technique; (2) the snow-cloud discrimination; (3) the daily spatio-temporal reconstruction of snow extent and its albedo signature with subpixel detection using the endmembers extraction and spectral mixture analysis. The results show a 98% agreement between MODIS snow detection and ground-based snow measurement at the automatic weather station Tres Morros (53.3174 °S, 71.2790 °W), with fractional snow cover values between 20% and 50%, showing a close relationship between snow and vegetation type. The number of snow days compiled from the MODIS data indicates a good performance (Pearson correlation of 0.9) compared with the number of skiing days at Cerro Mirador ski centre near Punta Arenas. Although the number of seasonal snow days show a significant increase trend of 0.54 days/year in Brunswick Peninsula during the 2000-2020 period a significant decreasing trend of -4.64 days/year was detected during 2010-2020, and also below the 400 m a.s.l. elevation, which is the most affected area. A reconstruction of the monthly mean temperature using the ERA5 Land reanalysis product shows a significant warming trend in May (0.068 ºC/year) and October (0.098 ºC/year) in the 2000-2020 period. Under the future emission scenario RCP8.5, the regional climate model RegCM4 predicts further warming during 2020-2050 of 0.059 ºC/year in July, 0.088 ºC/year in August, and 0.019 ºC/year in October, which will further reduce snow cover.
Q8VaxStance: Dataset Labeling System for Stance Detection Towards Vaccines in Kuwaiti Dialect
Authors: Alostad Hana , Dawiek Shoug , Davulcu Hasan
Published: August 2023

The Kuwaiti dialect is a particular dialect of Arabic spoken in Kuwait; it differs significantly from standard Arabic and the dialects of neighboring countries in the same region. Few research papers with a focus on the Kuwaiti dialect have been published in the field of NLP. In this study, we created Kuwaiti dialect language resources using Q8VaxStance, a vaccine stance labeling system for a large dataset of tweets. This dataset will fill this gap and provide a valuable resource for researchers studying vaccine hesitancy in Kuwait. Furthermore, it will contribute to the Arabic natural language processing field by providing a dataset for developing and evaluating machine learning models for stance detection in the Kuwaiti dialect. The proposed vaccine stance labeling system combines the benefits of weak supervised learning and zero-shot learning; for this purpose, we implemented 52 experiments on 42815 unlabeled tweets extracted between December 2020 and July 2022. The results of the experiments show that using keyword detection in conjunction with zero-shot model labeling functions is significantly better than using only keyword detection labeling functions or just zero-shot model labeling functions. Furthermore, using the Arabic language in both the labels and prompt or a mix of Arabic labels and an English prompt is statistically significant compared to using English in both the labels and prompt for the total number of generated labels evaluation metric. Finally, the best accuracy for Macro-F1 values were found in the experiments KHZSLF-EE4 and KHZSLF-EA1, with values of 0.83 and 0.83, respectively. And, for the total automatically labeled data evaluation metric, experiment KHZSLF-EE4 labeled 42,270 tweets, while experiment KHZSLF-EA1 was able to generate 42,764 labels.
Dual Neighborhoods Search for Solving The Minimum Dominating Tree Problem
Authors: Pan Ze , Wu Xinyun , Xiong Caiquan
Published: August 2023

The minimum dominating tree (MDT) problem consists of finding a minimum weight sub-graph from an undirected graph, such that each vertex not in this sub-graph is adjacent to at least one of the vertices in it, and the sub-graph is connected without any ring structures. This paper presents a Dual Neighborhoods Search (DNS) algorithm for solving the MDT problem, which integrates several distinguishing features, such as two neighborhoods collaboratively working for optimizing the objective function, a fast neighborhood evaluation method to boost the searching effectiveness, and several diversification techniques to help the searching process jump out of the local optimum trap thus obtaining better solutions. DNS improves the previous best-known results for 4 public benchmark instances while providing competitive results for the remaining ones. Several ingredients of DNS are investigated to demonstrate the importance of the proposed ideas and techniques.
Benchmarking Maintenance Practices for Allocating Features Affecting Hydraulic Systems Maintenance: A West-Balkan Perspective
Authors: Orošnjak Marko , Šević Dragoljub
Published: August 2023

As a consequence of applying advanced maintenance practices, the theoretical probability of failures is relatively low. However, observation of low market intelligence and maintenance management has been reported. The experimental investigation is supported by findings from a survey targeting asset-intensive companies applying hydraulic power systems. Next, the study incorporates multidimensional data analysis using CA-AHC (Correspondance Analysis with Agglomerative Hierarchical Clustering) approach. The non-parametric machine learning models are used from generated feature subspace to extract features affecting maintenance performance indicators. The results support empirical evidence that equipment age increases the probability of failures. However, the novel findings show that number of maintenance personnel, equipment size measured by nominal working energy consumption, and activities dedicated to maintaining fluid cleanliness impact regression results of companies utilising hydraulic applications.
Spatiotemporal Differentiation and Influencing Factors of Frost Key Date in Harbin Municipality in Recent 62a
Authors: Zhang Tian tai , Dai Chang lei , Li Shu ling , Zhang Chen yao , Zhang Yi ding , Yu Miao
Published: August 2023

In this study, based on frost formation data provided by Harbin Meteorological Bureau, combined with geographical factors, temperature and population density, linear fitting, Mann-Kendall mutation test, pettitt method and sliding T test were used to analyze the spatio-temporal variation characteristics of frost date in Harbin Municipality and the effects of geographical factors, temperature and population density on frost regularity. The results showed that (1) The earliest year of FSD appeared was 1966 and 1967, on the 255th, i.e., August 18th, and the latest was 283 days, i.e., October 10th, 2006. The earliest year in which the FED appeared was April 24th of 2015, the 114th day of that year, and the latest was April 21st of 1974, the 141st day of that year. The year with the most frost was 2012, with 161 days, and the year with the shortest was 1966, with 123 days. (2) Throughout the study period, FSD increased by 7.8 days at a rate of -1.27d/10a, FED increased by 10.9 days at a rate of 1.77d/10a, and FFS increased by 18.9 days at a rate of 3.05d/10a. The tendency rate of FSD and FFS at each site in Harbin showed an increasing trend. For FED, the tendency rate of some sites showed an increasing trend. In general, FSD showed a delayed trend, FED showed an advanced trend, and FFS showed a prolonged trend. Using the method of unary linear regression, FSD of each site showed an increasing trend, FFS showed an increasing trend, and FED showed a decreasing trend in general. (3) Throughout the study period, FSD was mutated in 2000, and the arrival time of it in the study area averaged the 265th, i.e., September 22nd, and after that, the arrival time of it changed to the 272nd, i.e., September 29th of that year. FED was mutated in 2006, and the arrival time of it in the study area averaged 128th, i.e., April 8th. After the mutation, the arrival time of FED changed to 121st, i.e., April 1st of that year. FFS was mutated in 2004. Before the mutation, with an average arrival time of 137days in the study area .But after that, the time changed to 150 days.(4) FSD and FFS in Harbin Municipality were negatively correlated with latitude and positively correlated with temperature, while FED was positively correlated with latitude and negatively correlated with temperature. The FSD, FED and FFS in the central part of Harbin Municipality were the earliest, the latest and the longest, respectively, so the Pearson correlation coefficient method and the influence of longitude could not be reflected in the multiple regression. Several factors were judged by grey correlation analysis method. The longitude is significantly related to FSD, FED and FFS.
Rapid Impregnating Resins for Fiber-Reinforced Composites Used in the Automobile Industry
Authors: Li Mei-Xian , Mo Hui-Lin , Zhang Wei , Lee Sung Kwon , Ren Yu , Choi Sung Woong
Published: August 2023

As environmental regulations become stricter, weight- and cost-effective fiber-reinforced polymer com-posites are being considered as alternative materials in the automobile industry. Rapid impregnation of the resin into the reinforcing fibers is critical during liquid composite molding, and the optimization of resin impregnation is related to the cycle time and quality of the products. In this review, various resins capable of rapid impregnation, including thermoset and thermoplastic resins, are discussed for manu-facturing fiber-reinforced composites used in the automobile industry, along with their advantages and disadvantages. Finally, vital factors and perspectives for developing rapidly impregnated resin-based fiber-reinforced composites for automobile applications are discussed
Investigation on the Influence of Wake Field Characteristic Structure on Downstream Target Using POD Method
Authors: Fu Jiawei , Wang Junhui , Wu Jifei , Xu Ke , Tian Shuling
Published: August 2023

This research delves into the impact of complex low-speed wake flow structures on the aerodynamic characteristics of objects downstream. It employs the proper orthogonal decomposition (POD) method and the domain precursor simulation method to compare traditional methods and validate this approach. The study generates several flow structures of parallel dual-cylinder wakes with different scales and spacing. The variations in the aerodynamic coefficient of three downstream objects at various times passing through wakes of varying scales are appropriately compared and analyzed. The study establishes that the wake with a cylinder spacing of G=1.5 has a more compact and concentrated modal structure than that with a cylinder spacing of G=0.35. Smaller objects are more responsive to the wake flow structure with a spacing of G=1.5, whereas larger objects respond more to the flow structure with a spacing of G=0.35. The achieved results also reveal that the aerodynamic force coefficients of objects passing through the wakefield at different times are closely related to the temporal characteristics of the wake flow structure with different scales.
Business Model for Scaling Social Impact Towards Sustainability by Social Entrepreneurs
Authors: François Kishore Kumar , Goi Hoe Chin
Published: August 2023

This paper examines the Business Model (BM) from a socioeconomic system perspective to discern key factors, and understand its interactions resulting in the Scaling of Social Impact (SSI) in Social Entrepreneurship (SE). Previously, studies have explained the importance of BM in relation to SE. However, there is a lack of empirical studies on how BM’s transitions through participation of various actors result in SSI. This research applies qualitative analysis on a single case study of a Japanese social startup, “mymizu”, the first water refill application platform in Japan. The findings show that collaboration amongst different stakeholders on the initial phase of the BM could increase awareness of responsible consumption, convert into actual users for sustainability, and change their behavior. Secondly, members of the society could take on dual roles, both as users and collaborators in the BM, which results in an exponential scaling effect of the social impact. This paper contributes towards adding a participatory stakeholder (PS) to the ecosystem of SSI and building a “regenerative” BM that is relevant in SE towards sustainability.
Mutants with Enhanced Multi-Stress Tolerance of Kluyveromyces marxianus and Their Ability for Ethanol Fermentation
Authors: Lertwattanasakul Noppon , Pattanakittivorakul Sornsiri , Nitiyon Sukanya , Matsutani Minenosuke , Oguchi Akihiro , Hirata Katsushi , Kosaka Tomoyuki , Limtong Savitree , Yamada Mamoru
Published: August 2023

Kluyveromyces marxianus is an attractive thermotolerant yeast species for ethanol production because of its ability to utilize various carbon sources as a fermentation substrate. The use of thermotolerant microbes enables performance of high-temperature ethanol fermentation, which has several advantages including reduction of cooling costs and minimization of contamination risk. To improve K. marxianus for ethanol fermentation under stress conditions, two strains, DMKU 3-1042 and DMKU 3-118, were adapted for heat resistance and toxic substances in pulp wastewater from a paper mill, respectively, resulting in the generation of KMR1042 and KMR118, respectively. Both adapted mutants exhibited clumpy clusters of cells as pseudohyphae and altered colony morphology, and their sedimentation speeds were much faster than those of the corresponding parent strains. The two mutants showed stronger tolerance to various stresses and higher performance for ethanol production than those of the corresponding parent strains at high temperatures or in the presence of toxic substances. Genome sequencing analysis revealed that both mutants had disruption of the same gene, SWI5, despite adaptation under different stress conditions, suggesting that the formation of pseudohyphae is a common strategy of K. marxianus for coping with stresses.
Brain Tumor Detection using the VGG-16 Model: A Deep Learning Approach
Authors: Santos Dheiver
Published: August 2023

This article presents a study on brain tumor detection using the VGG-16 model, a convolutional neural network known for its performance in computer vision tasks. The aim of the study is to classify magnetic resonance imaging (MRI) images and accurately identify the presence of brain tumors. The dataset used consists of brain tumor MRI images, categorized into two classes: "NO" (no tumor) and "YES" (tumor). The methodology involves setting up the environment, importing and preprocessing the data, building the VGG-16 model, and evaluating its performance using metrics such as accuracy, precision, and recall. The results demonstrate an accuracy of approximately 88% on the validation set and 80% on the test set, indicating the potential of the VGG-16 model in supporting healthcare professionals in diagnosing brain tumors. The study contributes to the field of medical image analysis and offers insights into the application of deep learning for brain tumor detection.
Effect of Atropine Injection Combined with Nursing Intervention on Interventional Treatment of Patients with ST Segment Elevation Myocardial Infarction
Authors: Xu Yuan , Pan Rusheng , Liu Min , Mu Suzhi
Published: August 2023

Objective: To explore the application effect of Atropine injection combined with nursing intervention on the interventional treatment of PATENTS with ST-segment elevation myocardial infarction. Methods: A total of 60 patients with ST-segment elevation myocardial infarction treated in our hospital from January 2022 to January 2023 were selected as the research objects. According to different nursing methods, they were divided into conventional group (n = 30) and systematic group (n = 30), both groups were treated with percutaneous coronary intervention (PCI). The conventional group received routine nursing before and after operation. On the basis of routine nursing, systematic nursing cooperation was given in the system group. The time of opening infarct vessels, the incidence of total adverse reactions during interventional treatment, mortality, success rate of treatment, improvement of cardiac function and length of hospital stay were compared between the two groups. Results: The time of opening infarct vessel in system group was significantly better than that in routine group (P < 0.05). The total adverse reaction rate in system group was significantly lower than that in routine group (P < 0.05); The mortality of routine group was significantly higher than that of system group (P < 0.05). The success rate of system group was significantly higher than that of routine group (P < 0.05); The number of patients with improved cardiac function and length of hospital stay in system group were significantly better than those in routine group (P < 0.05). Conclusion: Good intraoperative cooperation and nursing is an important guarantee for patients with ST-segment elevation myocardial infarction, which can effectively reduce the occurrence of adverse reactions during interventional treatment, improve the success rate of treatment, and reduce the death of patients during interventional treatment.
Utilizing the Electrochemical Biosensors as an Innovative Platform for Rapid and On-site Detection of Animal Viruses
Authors: Wang Yimin , Wang Lei , Xu Guang-Ri , He Xun , Wang Shan , Ma Caoyuan , Ma Jinyou , Zhu Wei , Xie Hongbing , Liu Hongyang
Published: August 2023

Animal viruses are a significant threat to animal health and are easily spread across the globe with the rise of globalization. The limitations in diagnosing and treating animal virus infections have made the transmission of diseases and animal deaths unpredictable. Therefore, early diagnosis of animal virus infections is crucial to prevent the spread of diseases and reduce economic losses. To address the need for rapid diagnosis, electrochemical sensors have emerged as a promising tool. Electrochemical methods present numerous benefits, including heightened sensitivity and selectivity, affordability, ease of use, portability, and rapid analysis, making them suitable for real-time virus detection. This paper focuses on the construction of electrochemical biosensor, as well as promising biosensor models, and expounds its advantages in virus detection, which is a promising research direction.
Brief Narrative Review on Commercial Dental Sealants—Comparison with Respect to Their Composition and Potential Modifications
Authors: Piszko Aleksandra , Piszko Paweł J. , Lubojański Adam , Grzebieluch Wojciech , Szymonowicz Maria , Dobrzyński Maciej
Published: August 2023

The scope of this paper is to compare different dental sealants and flow materials indicated for sealing pit and fissures considering their chemical formula. The narrative review aims to address the questions: What is the essence of different dental sealants’ activity, how their chemical formula affects their mechanisms of caries prevention and what makes a dental sealant efficient mean of caries prevention. Another vital issue is whether the sealants which contain fluoride, or any other additions have potentially increased antimicrobial properties. Methods: An electronic search of the PubMed, Cochrane, Web of Science and Scopus databases was performed. The following keywords were used: (dental sealants) AND (chemical composition). Additionally, information about composition and indications for clinical use provided by manufacturers were utilized. The review aims are to find crucial elements of sealants’ composition which affect their cariostatic mechanisms.