bluuebunny/crossref_metadata_2025 huggingface dataset:
Reinforcement learning-based adaptive beam alignment in a photodiode-integrated array antenna module
Authors: Li Jyun-Wei , Teng Yu-Chieh , Nimura Shinji , Manie Yibeltal Chanie , Yazdandoost Kamya Yekeh , Tanaka Kazuki , Inohara Ryo , Tsuritani Takehiro , Peng Peng-Chun
Published: January 2024

We successfully demonstrated an intelligent adaptive beam alignment scheme using a reinforcement learning (RL) algorithm integrated with an 8 × 8 photonic array antenna operating in the 40 GHz millimeter wave (MMW) band. In our proposed scheme, the three key elements of RL: state, action, and reward, are represented as the phase values in the photonic array antenna, phase changes with specified steps, and an obtained error vector magnitude (EVM) value, respectively. Furthermore, thanks to the Q-table, the RL agent can effectively choose the most suitable action based on its prior experiences. As a result, the proposed scheme autonomously achieves the best EVM performance by determining the optimal phase. In this Letter, we verify the capability of the proposed scheme in single- and multiple-user scenarios and experimentally demonstrate the performance of beam alignment to the user’s location optimized by the RL algorithm. The achieved results always meet the signal quality requirement specified by the 3rd Generation Partnership Project (3GPP) criterion for 64-QAM orthogonal frequency division multiplexing (OFDM).
Space–time domain equalization algorithm based on complex-valued neural network in a long-haul photonic-aided MIMO THz system
Authors: Xu Sicong , Zhou Wen , Li Weiping , Gou Yumeng , Sang Bohan , Uddin Rahim , Zeng Lingchuan
Published: January 2024

The urgent demand for high-bandwidth wireless services in enhanced mobile broadband networks needs innovative solutions for mobile front-haul systems. The terahertz (THz) band offers a promising candidate for ultrahigh-capacity data transmission. This study investigates the integration of photonics-aided THz signal generation with MIMO and PDM technologies. We proposed a novel, to the best of our knowledge, space–time domain equalization algorithm based on MIMO-complex-valued neural networks (CVNN), which can preserve the signal phase and the relation between the X- and Y-polarization. We experimentally demonstrate the transmission of 60-GBaud PDM-QPSK and 30-GBaud PDM-16QAM signals over a 100-m 2 × 2 wireless MIMO link at 320 GHz with BER below 3.8 × 10−3 and 1.56 × 10−2 for QPSK and 16QAM signals, respectively. Compared with the MIMO-Volterra, our MIMO-CVNN has an advantage in terms of calculation complexity and decision accuracy due to its effective handling of phase information and inter-polarization relationships simultaneously.
Precise selection and amplification of a single comb line from femtosecond mode-locked lasers
Authors: Yao Shaozhuang , Xu Yin , Zhang Mengcheng , Yan Xingcan , Bao Hualong
Published: January 2024

We propose and demonstrate a novel, to the best of our knowledge, scheme for extracting and amplifying a single comb line with a high signal-to-noise ratio (SNR) from a femtosecond mode-locked laser (FMLL). The scheme is realized based on the combination of pulse repetition-rate multiplication, optical injection locking, and the polarization-pulling-attributes of stimulated Brillouin scattering. The SNR of the selected and amplified comb line is more than 70 dB, and its frequency can be tuned at an arbitrary comb line position over the whole range of the FMML. The white frequency noise floor measured through a delayed self-heterodyne interferometry technique is around 80 Hz2/Hz. The scheme presented in this work has shown the potential for many applications such as ultra-precision metrology and spectroscopy.
Association of heat-shock protein 70.1 gene with physiological and physical performance of Bali cattle
Authors: Suhendro Ikhsan , Noor Ronny Rachman , Jakaria Jakaria , Priyanto Rudy , Manalu Wasmen , Andersson Göran
Published: January 2024

Background and Aim: Global warming challenges cattle productivity and welfare since it affects heat stress and scarce feed. The heat-shock protein 70 (HSP70) gene is essential in cytoprotection against stressors, protecting cells from dysregulated gene expression and apoptosis. This study aimed to identify significant genetic markers of the HSP70.1 gene that can be leveraged genetically to enhance thermotolerance and production in Bali cattle further.

Materials and Methods: Animals were sampled from three different rearing systems. In this study, 83 healthy adult male Bali cattle without abnormalities were utilized. Single-nucleotide polymorphism (SNP) diversity associated with the physiological and physical traits of Bali cattle was assessed using SNPStat online software. Gene expression for putative SNPs and their genotypic groups was further evaluated.

Results: There were 15 polymorphic SNPs (c.-185G>A, c.-69T>G, c.10G>C, c.19A>G, c.45C>T, c.101INS, c.115T>C, c.130T>C, c.136G>T, c.159G>C, c.164G>T, c.234G>A, c.303G>A, c.333C>A, and c.456C>T) identified, of which 12 were associated with the assessed trait. Nine SNPs were associated with physiological traits, while eight were with physical traits. The c.136G>T as a novel, high minor allele frequency, and associative SNP was selected for HSP70 gene expression. Individuals with the TT genotype have a trim physique, susceptible physiology, and high HSP70 mRNA expression. On the other hand, the GG genotype was significantly associated with larger physique, lower physiology, and low HSP70 mRNA expression. The higher expression may indicate that HSP70.1 is involved in mitigating the deleterious effects of stress. As a result, the animal experienced negative energy balance, decreasing body size.

Conclusion: Single-nucleotide polymorphism c.136G>T is a candidate biomarker for heat resistance traits in Bali cattle.

Keywords: Bali cattle, gene expression, heat stress, HSP70, polymorphism, single-nucleotide polymorphism.
How artificial intelligence affects education?
Authors: Wojciechowski Adam , Korjonen-Kuusipuro Kristiina
Published: January 2024

Acquiring specific knowledge that can be tested by means of a test is a very common scenario present in the education system, which determines the passing of successive levels of education. The simultaneous development of technology, in particular artificial intelligence models available through publicized large language models, makes this scheme vulnerable to abuse and pitfalls. Updating knowledge and awareness of the advantages and risks of the use of artificial intelligence in education (AIED) is the responsibility of the research community and global policy. This text is a voice that attempts to redress the balance between the enthusiasm for the use of AI in education and the dangers that come with it. Public awareness develops more slowly in this case than the technology itself, and the regulations created are no substitute for ethics and decency, at the initial stage of their introduction, before certain patterns and rules have become established.
Volumetric QUANTITATIVE ANALYSIS OF PURE ASCORBIC ACID IN TABLETS
Authors: Gavat Cristian-Catalin
Published: January 2024

Ascorbic acid is a water-soluble vitamin provided with strong antioxidant action, that fulfills an important immune protective role of the body against infections and prevents various cancers appearance. The main goal of this study was to exactly quantify pure ascorbic acid in tablets of two pharmaceuticals. Proposed objective consisted in improvement and application of a iodometric titration method in ascorbic acid quantitative analysis. Ascorbic acid content per tablet in both studied pharmaceuticals was 173.84 mg, very close to official stated amount of active substance (180 mg). Allowed percentage deviation from declared content of pure ascorbic acid was only 3.42 %, below maximum value of ± 5 % imposed by Romanian Pharmacopoeia 10-th Edition, according to European and International standards. Statistical analysis confirmed experimental obtained results and revealed low Standard Error value SE = 0.214476, which has fallen within normal limits.Confidence Level value (95.0 %) = 0.551328 and Standard Deviation SD = 0.525357. were within normal range of values. Relative Standard Deviation (Coefficient of variation or homogeneity) RSD = 26.268% was found below maximum range of accepted values (30-35%). P value = 7.44. 10
-6 was located within normal limits
, P ˂ 0.001, so the experimental obtained results has shown highest statistical significance. Thus, studied titration method can be successfully used in quantitative analysis of ascorbic acid from different samples.
Determinação dos parâmetros do circuito equivalente de um motor de indução trifásico a partir dos dados de ensaio com carga
Authors: Bitencourt Padilha Juliano , Kittel Ries Lisandra , Pacheco Bortoluzzi Adilson , Henrique Eckstein Rafael
Published: January 2024

Este artigo busca determinar os parâmetros do circuito equivalente de um motor de indução trifásico a partir dos dados de ensaio com carga. Tais parâmetros são ditos concentrados e compreendem de resistências e reatâncias associadas à frequência de operação da máquina. Utilizando dados provenientes do ensaio com carga, uma nova metodologia adota heurísticas para restringir o intervalo de busca de cada parâmetro por meio de otimização. Os valores obtidos são posteriormente comparados com os resultados obtidos pela metodologia clássica. Por fim, de posse dos parâmetros, resultados para a corrente de linha, potência de saída e rendimento, todos em função da velocidade de operação do motor, são apresentados a partir do uso do circuito equivalente, o que possibilita uma visão abrangente do desempenho do motor em condições reais de operação e valida os parâmetros obtidos com a nova metodologia proposta.
Continuing Medical Education Questions: January 2024
Authors: Kiwan Wissam
Published: January 2024

Article Title: A Review of Available Medical Therapies to Treat Moderate to Severe Inflammatory Bowel Disease
Natural Histories and Disease Complications in a Cohort of 151 Children With Gastric or Duodenal Eosinophilia
Authors: Quinn Laura A. , Burger Cassandra , Nguyen Brian , Arnold Michael A. , Pan Zhaoxing , Furuta Glenn T. , Bauer Maureen E. , Menard-Katcher Calies
Published: January 2024

INTRODUCTION:

Eosinophilic gastritis (EoG) and duodenitis (EoD) are rare conditions that are poorly understood. Our aim was to describe the natural history of children with varying degrees of gastric or duodenal eosinophilia with respect to disease complications and histologic and endoscopic longitudinal trajectories.

METHODS:

The electronic medical record at a tertiary children's hospital was queried to identify patients with EoG, EoD, or EoG + EoD who were cared for between January 2010 and 2022. Multiple logistic regression was performed to explore associations between baseline features and persistence/recurrence of eosinophilia or complications remote from diagnosis.

RESULTS:

We identified 151 patients: 92 with EoG, 24 with EoD, 12 with EoG + EoD, and 23 with tissue eosinophilia but did not meet histologic criteria for EoG or EoD (low grade). The average age at diagnosis was 10.6 years, and average follow-up was 5.8 years. Twenty-five percent of patients with EoG or EoD had persistence/recurrence of eosinophilia; this was associated with increases in the EoG Endoscopic Reference Score (adjusted odds ratio [aOR] 1.34, confidence interval [CI] 1.03–1.74) on diagnostic endoscopy. Eighteen percent suffered from disease complications, and development of late complications was associated with presenting with a complication (aOR 9.63, CI 1.09–85.20), severity of duodenal endoscopic abnormalities (aOR 8.74, CI 1.67–45.60), and increases in the EoG Endoscopic Reference Score (aOR 1.70, CI 1.11–2.63).

DISCUSSION:

Patients with gastric and duodenal eosinophilia should be followed closely to monitor for recurrence and complications, especially those presenting with endoscopic abnormalities or complications.
Gastrointestinal Hemorrhage and Diffuse Bowel Dilation in Huntington Disease
Authors: Kolachana Sindhura , Motwani Kiran , Sakiani Sasan
Published: January 2024

Huntington disease (HD) is a neurodegenerative condition associated with pathologic involvement beyond the striatum including involvement of the autonomic nervous system. Bowel dysfunction is found in patients with HD, but the exact mechanism is poorly understood and not well reported. Patients may be affected with problems such as dysphagia, weight loss, nutritional deficiencies, esophagitis, and gastritis. Lower bowel symptoms are more prevalent with longer disease course. We present a case of a patient with late-stage HD who presents with severe esophagitis causing gastrointestinal hemorrhage, significant dysmotility including chronic dysphagia requiring gastrostomy tube, and chronic small bowel and colonic ileus.
Financial Health of Post-Transformation Companies
Authors: Heralová Olga
Published: January 2024

The intention of this paper is to verify the impact of transformation on financial health of the transforming business corporations. Transformation of business corporation can help with increase effectivity of the production, to increase financial performance of the companies, to reduce costs, to realize risk diversification or organization structure simplification. This paper is focused on transformation called spin-off by merger project. Financial health of the companies is possible to verify with usage of Financial Analysis and Summary Indexes. For verification in this paper were selected two bankruptcy indexes Altman´s index Z-score and IN05. In the paper is presented financial health verification of transformed companies carried out on transformed companies immediately after transformation and over the next few years.
Businesses Innovation & AI: How AI and Analytics Can Encourage Innovation
Authors: Mathur Balafakir Subramanian
Published: January 2024

Artificial intelligence is about imbuing machines with a kind of intelligence that is largely attributed to humans. Extant literature, in addition to the encounters of ours as providers, indicates that while AI may not be entirely set to take over revolutionary areas within the improvement procedure, it indicates promise as a significant guidance to advancement superiors. In this particular content, we broadly relate to the derivation of PC enabled, data-driven insights, models, and visualizations within the development pastime as innovation analytics. AI may play a crucial role in the innovation exercise by switching many aspects of innovation analytics. We existing four case studies which are distinct of AI in motion according to the prior job of ours in the market. We highlight the benefits and limitations of utilizing AI in growth, and conclude with strategic implications and additional resources for development managers.
Implementation of Big Data Analytics in Electronics Manufacturing Industry: Impact and Profitability
Authors: Altamimi Mohammed Quazie
Published: January 2024

The literature on serious data analytics and also small effectiveness is still fragmented, in addition to lower attempts to include the results of current studies. This specific analysis seeks to produce an ordered introduction to contributions related to big data analytics and firm efficiency. The authors assess papers stated in the web of Science index. This specific analysis identifies the components which can influence the adoption of serious data analytics in various regions of a business, and categorizes the several types of features that serious data analytics are in a position to deal with. Directions for future exploration are created out of the consequences. This specific systematic assessment proposes producing avenues for conceptual and empirical equally exploration streams by emphasizing the advantages of huge data analytics in improving solid effectiveness. Furthermore, this particular assessment offers both scholars and professionals heightened information of the link between grave data analytics and also small effectiveness.
Decision-Making & Data Science: How Large Businesses Can Use Analytics to Shape Decisions
Authors: Tayeb Khabirun Maria
Published: January 2024

Although big data will bring worth for business throughout the entire worth chain, the integration of details analytics about the decision-making procedure is nevertheless a battle. This specific study, based on an ordered literature review, thematic evaluation and qualitative interview findings, proposes 6 steps to create every relevance and rigor in the technique of analytics driven choice generating. Our findings illuminate the main key phases in this specific option procedure, for example matter characterization, evaluation of earlier outcomes, model development, data collection, information analysis, along with techniques on insights within the context of program strategies. Although outcomes are assessed in a sequence of steps, the analysis identifies them interdependent and iterative as. The suggested 6 phase analytics driven choice making process, pragmatic evidence from service techniques, and later scientific studies agenda, source the groundwork for upcoming scholarly research, and can work as a step smart guidebook for internet business professionals.
Automotive Manufacturing Firms and Their Usage of Machine Learning to Drive Efficiency in Asia
Authors: Kuraishi Zikri Mohhamad
Published: January 2024

Objective - Rapid innovation and globalization have generated large opportunities, and also choices in the marketplace for firms and customers. Naturally, competitive pressures have led to production and internationalization, leading to a significant increase in products. The post tries to identify the need for legitimate time business intelligence that contained supply chain analytics. Design/methodology/approach - The paper offers argument and analysis of the advantages, and also hurdles in BI. Outcomes - The newspaper concentrates on the importance of revisiting the conventional BI concept, which fuses and consolidates information of a business, to assist service oriented businesses and also search for retention and customer loyalty. Enhancing effectiveness and productivity of supply chain analytics dealing with a BI tactic is essential to a company's opportunity to reach the competitive advantage. Originality/value - This newspaper furthers understanding of the issues that involve the use of BI products in supply chains.
Determinants of Employee Resilience: Effects of Organization-Initiated Support Interventions
Authors: Wickramasinghe Vathsala , Mallawaarachchi Chamudi
Published: January 2024

The capacity of organizations of all types and sizes to face unexpected and unpredictable events is vital for survival and growth. Resilience is a desirable human characteristic. Individuals who can bounce back in stressful situations, setbacks, and failures in their lives are the ones with the characteristic of resilient. Resilient employees have a greater capacity to perform their job tasks and are better suited to adapt to adverse conditions. Knowing the effectiveness of organization-initiated support interventions in building resilience create opportunities to respond much better and emerge stronger in the world, which is volatile, uncertain, complex, and ambiguous. The COVID-19 pandemic was such an unexpected and unpredictable event, which tested the capacity of organizations and their employees. During the lockdown periods for the pandemic, organizations had to introduce several support interventions that supposed to help in getting the work done from employees, who were working from home. Although not necessarily targeted to enhance employee resilience, the present study argues that organization-initiated support interventions introduced to mitigate hindrances of the lockdown could have increased employee resilience. Accordingly, the present study investigated organization-initiated support interventions introduced during the state-regulated lockdown that could have increased employee resilience. The findings provide an assessment of organization-initiated support interventions and their effects in building employee resilience.
SAFETY ASSESSMENT OF CONTINUOUS CONCRETE GIRDER BRIDGES SUBJECTED TO RANDOM TRAFFIC LOADS CONSIDERING FLEXURAL-SHEAR COUPLED FAILURE
Authors: Nie Ruifeng , Yao Jinfeng , Li Songhui
Published: January 2024

Bridges generally perform complicated mechanical behaviors under external loads, such as flexural-shear coupling, compression-bending coupling, and flexural-shear-torsion coupling. In the context of deterministic design approaches such as design codes, these complicated coupled issues are generally simplified to the safety verification of bridge components under a single mechanical state (i.e. flexural, shear, torsion). At present, the rapid development of sensor and information technologies makes it possible to collect the external loads acted on bridges and understand bridge performance under these stochastic external loads. In this manner, the reliability-based full probabilistic approach could be applied to investigate the performance of bridges over their lifetime. However, the current bridge reliability assessment incorporating realistic traffic load measurements mainly focuses on the analysis of bridge components under a single mechanical state. In this paper, a reliability-based probabilistic analytical framework of the flexural-shear performance of girder bridges under random traffic loading is established. The flexural-shear coupled failure path of bridge girders under random traffic loading is characterized for the first time, where the bivariate extreme value theory is incorporated to develop the extreme value distribution of combined flexural and shear load effects. The modified compression field theory recommended by AASHTO is employed to establish the coupled flexural-shear coupling resistances. Finally, the reliability of the flexural-shear performance of bridge girders is evaluated by solving the multivariate ultimate limit state equation. The proposed analytical framework is applied to a realistic bridge. The results show that the reliability index of the flexural-shear coupling evaluation is lower than that of the flexural or shear evaluation, which highlights the importance of the flexural-shear performance checking in the reliability assessment of bridges under random traffic loading. The proposed analytical framework could be further applied to the probabilistic assessment of bridge components subjected to combined loading mechanisms under random loadings.
Mechanical characteristics of large-section tunnel in soft rock based on various rock conditions and excavation footages
Authors: Xia Zengyin , Zhang Chi , Cao Pan , Li Bin , Liu Gongning , Zhang Huijian
Published: January 2024

Taking the V-class surrounding rock section at the entrance and exit about Qianqi Tunnel as an example, the deformation rules as well as mechanics about the tunnel in different rock conditions and excavation footages are compared by numerical calculation, and the suitable excavation footage of the relied engineering is also proposed. The results show that the displacements about surrounding rock are greatly influenced by the excavation footage, namely, the arch settlements, horizontal convergences as well as surface settlement of the tunnel increase significantly with the excavation footage. For the preferred rock condition, the maximum bending moments about the preliminary linings at middle step after excavation occurs in the vault, and its increase amplitude has little correlation with the excavation footage. For the poor surrounding rock, the maximum bending moment is transferred from the vault to the arch waist with the increase of excavation footage, and it is basically manifested as the inner tension of the lining. The relationship between excavation footage and maximum deformation as well as mechanical index of vault is also revealed, respectively. The excavation footage of shallow-buried tunnel sections in V-grade surrounding rock is suggested, that is, 1.8m for the preferred surrounding rock condition and 1.2m for the poor surrounding rock condition.
TESTING OF CLOSE-RANGE PHOTOGRAMMETRY AND LASER SCANNING FOR EASY DOCUMENTATION OF HISTORICAL OBJECTS AND BUILDINGS PARTS
Authors: Rapuca Almedina , Matoušková Eva
Published: January 2024

In contemporary times, technology has dramatically simplified the process of documenting cultural heritage objects. This paper aims to illustrate modern methodologies for documenting historical monuments by applying advanced technologies, as these case studies show. Two technologies were used: laser scanning and digital photogrammetry. The first subject of our study was a historically significant 16th-century building located in Jachymov, situated in the North-West region of the Czech Republic. The object was documented by laser scanning (BLK360) and using a standard digital camera Canon Powershot SX230 HS. The laser scanning data were post-processed using Cyclone Register 360 Plus, while photogrammetric point clouds were generated with Agisoft Metashape. The second objects were a building and a sculpture in the historical UNESCO city of Telč; here laser scanning instruments, digital photogrammetry and a new one low-cost ViDoc documentation system were use. Our study is focused on analyzing the sets of point clouds obtained from the data processing, conducted using CloudCompare to draw insights and conclusions. It turns out that the rapid development of techniques and technology makes it possible to use low-cost devices for sufficiently accurate and fast documentation; however, the mentioned ViDOC device can only be used for very close and small objects up to about 5 meters. For the documentation of sculptures, classic close-range photogrammetry is especially appropriate; for the documentation of buildings, laser scanners are suitable; the problem here is with hidden spaces and it is often necessary to use either a platform or a combination with photogrammetry using a drone, especially for the upper parts of the object.
Lexicografia
Authors: Rodrigues-Pereira Renato , Zavaglia Claudia
Published: January 2024

n/d
Spatial Modeling of Groundwater Potential in the North of Minas Gerais, Brazil: An Integrated Approach Using Machine Learning and Environmental Data
Authors: Souza Cristiano Marcelo Pereira , Silva Lucas Augusto Pereira , Leite Marcos Esdras , Veloso Gustavo Vieira , Fernandes-Filho Elpídio Inácio
Published: January 2024

In arid and semi-arid regions, like the North of Minas Gerais (NMG) in Brazil, groundwater serves as a crucial resource. Due to the anticipated surge in demand for these resources, devising effective strategies for managing and analyzing water resources is vital. This study aims to model the spatial distribution of potential groundwater areas in the NMG by evaluating six Machine Learning Algorithms based on water flow data from 4,028 tubular wells (Groundwater Information System - SIAGAS). The modeling was supported by environmental covariates connected with water dynamics (climate, geology, relief, soil, and vegetation). The covariate selection technique (RFE- Recursive Feature Elimination) selected the most important ones. The Random Forest (RF) model was the most efficient in the prediction (R2 0.16 and an RMSE of 17.50 m3/h). The model captured the influence of critical environmental covariates. The central and western regions of the NMG exhibited the highest groundwater potential, with flow values from tubular wells in these areas 620% higher than the eastern regions. This disparity can be attributed to the significant presence of psamitic, and carbonate sedimentary rocks characterized by high porosity and fissures, extensive plateaus (recharge zones), and higher rainfall levels observed in the central and western regions. The mapping results can serve as a valuable tool for public management, especially to define areas suitable for groundwater use in the NMG. We encourage future studies for advances and improvements in groundwater modeling processes in the region.
Seasonal Study on Changing Trends in Climatic Extremes Indicators in the Brazilian Territory
Authors: Coelho Filipe Júnio Santos , Pereira Marconi A. , Davis Junior Clodoveu A. , Silva Natã G. , Silva Telles T. da
Published: January 2024

This study focuses on analyzing trends in extreme climate indices in 11 different regions of Brazil on a quarterly basis, from 1961 to 2019. The aim is to identify changes in climate trends over time, particularly in terms of increasing climatic extremes, such as maximum and minimum temperature. Statistical tests were used to determine the presence of trends and the value of the changes. This study reveals that in most cities exhibited the minimum temperature recorded tends to increase in at least two quarters per year, while only a few did not show significantly increasing trends in maximum temperature. In terms of extreme temperature indices, a few regions presented statistically significant trends, such as Belém and Cuiabá, which showed a reduction in the occurrence of cold nights and hot days, respectively, across all quarters. Significant increases in the percentage of hot days and hot nights, as well as in maximum, minimum, and average temperatures across different regions, were observed. Additionally, in some seasons of the year precipitation events changed, with an increase in the concentration of rain in short periods and in the number of consecutive days without precipitation.
Bathymetric DEM derived from Lyzenga’s algorithm (multispectral Bathymetry) using Landsat 8 images: a case study of Fort Lauderdale coast
Authors: Paula César Francisco de , Lima Luís Antônio de , Cintra Jorge Pimentel , Oliveira Henrique Cândido de , Costa Diogenes Cortijo
Published: January 2024

Optical bathymetry can be applied to multispectral images of coastal regions with low spectral and spatial resolutions, and the results obtained are satisfactory in waters up to 15 m. However, the limitations and effectiveness may vary as they are related to physical factors such as water turbidity, specular reflection, and the presence of clouds and shadows during imagery acquisition. Some of these factors also affect the surveys conducted using green Light Detection and Ranging (LiDAR) technology. This study aimed to show that topographic representation by multispectral images is directly related to the physical factors of the water body and the atmospheric conditions during the image acquisition process, good atmospheric conditions and shallow water can generate accurate topographic representation. The experiments carried out in this study using optical bathymetry showed that Landsat 8 satellite images could be used in multispectral bathymetry with a linear regression model by using depth samples obtained from shallow water. Images taken at three different time points were used, with a certain time interval between the data collection performed via the Green LiDAR technology. The depths estimated by this model showed some differences that were possibly caused by water turbidity and temporally-occurring activities. Despite such constraints, the depths obtained by the linear regression model showed a good adaptation to the model derived from the Green LiDAR for depths up to 22 m, with an average error of -0.271 m and a root mean square error of 0.936 m.
Políticas públicas de letramento no Brasil: permanências e rupturas
Authors: Santos Alana Driziê Gonzatti dos , Oliveira Maria do Socorro
Published: January 2024

As políticas de educação no Brasil passam, historicamente, por mudanças. Diante disso, objetivamos levantar e analisar ações de letramento vigentes em 2022 pelo Ministério da Educação. Esta pesquisa possui caráter documental e bibliográfico, centrando-se em legislações brasileiras, além de documentos e informações disponibilizadas em canais oficiais. Baseia-se, teoricamente, nos estudos de letramento e de políticas públicas. Na análise, observamos a imprecisão vocabular na nomenclatura de ações, além de tensões decorrentes de mudanças de governo, que afetam suas bases teóricas, implementação e resultados esperados. Sobre a políticas de letramento, as ações em vigência silenciam esse conceito, indo de encontro a legislações e documentos norteadores, o que gera retrocessos para o processo educacional.
Formação sobre inclusão de alunos da Educação Especial para os docentes da Universidade Federal do Pará – Campus Castanhal, Brasil
Authors: Lopes Raphaella Duarte Cavalcante , Rosário Hilda Rosa Moraes de Freitas , Silva Simone Souza da Costa
Published: January 2024

A pesquisa descreve o planejamento, desenvolvimento e avaliação de um programa de formação sobre inclusão de alunos público da Educação Especial no Ensino Superior para os docentes da Universidade Federal do Pará – Campus Castanhal, Brasil. O programa de formação foi organizado em cinco temas, conforme o interesse dos docentes: Educação Especial e Inclusiva; deficiência visual; surdez; autismo e acessibilidade. Concluiu-se que é possível realizar ações formativas baseadas nas demandas dos professores e identificou-se a necessidade de maior carga horária, material de apoio, atividades práticas e institucionalização das formações para que ocorram de forma contínua e contribuam para melhoria da qualidade do ensino ofertado às pessoas público da Educação Especial.
Reconfiguração do fazer coletivo e as funções da acessibilidade na Educação Superior
Authors: Cabral Leonardo Santos Amâncio , Mendes Enicéia Gonçalves , Ebersold Serge
Published: January 2024

No Brasil, a lógica de acessibilidade na Educação Superior tem sido espelhada nas medidas centralizadoras tradicionalmente realizadas na Educação Básica. Sobre esse cenário, o objetivo do presente estudo é refletir se esse tem sido condizente com o que a literatura atual sobre acessibilidade na Educação Superior tem recomendado. Trata-se de um ensaio teórico que, em uma perspectiva internacional, compila informações tratadas em três seções. A primeira apresenta uma breve contextualização sobre a democratização do acesso na Educação Superior brasileira e às concepções de deficiências presentes nesse nível de ensino. A segunda, discorre princípios éticos-políticos, morais pedagógicos e econômicos da acessibilidade e da alteridade. Por fim, problematiza-se as questões emergentes relacionadas às competências, às habilidades e a legitimação da formação de pessoas com deficiências na Educação Superior.
Alunos com deficiência no ensino superior em Portugal
Authors: Nogueira José Miguel , Querido Lara , Nunes Nuno , Ortiz Alejandra , Botelho Maria do Carmo
Published: January 2024

O presente artigo analisa os desenvolvimentos ocorridos no plano legislativo e académico em torno da educação superior inclusiva, incidindo sobre as condições de acessibilidade existentes nas Instituições de Ensino Superior (IES) em Portugal direcionadas a estudantes com necessidades especiais de educação (NEE). Através da análise de fontes secundárias, nomeadamente em torno de documentos nacionais de carácter estatístico, bem como da realização de um estudo de caso numa instituição de ensino superior, evidencia-se a crescente implementação de regulamentação específica orientada para alunos com NEE por parte das IES.
Fire Performance of Reinforced Concrete Slabs: Direct Flame Effects
Authors: Aldarf Raneen
Published: January 2024

The behaviour of two-way reinforced-concrete slabs exposed to direct fire was investigated in this study. The slabs were exposed to fire for one hour in a gas furnace and the flame-spread area was varied by increasing the number of fire sources from three to six. The slabs were cooled in two different ways: gradual cooling and sudden cooling. The results showed that the flame-spread area had a significant effect on the load-carrying capacity and deflection of the slabs. The load-carrying capacity decreased by 20.68% with gradual cooling and by 33.78% with sudden cooling when the flame-spread area was increased. The deflection at failure increased by 26.3% with gradual cooling and by 33.78% with sudden cooling when the flame-spread area was increased. The ductility factor showed an increase of 12.6% to 50.3 % for gradually-cooled slabs and of 50.3% to 59.6% for suddenly-cooled slabs with an increasing flame-spread area, compared to reference slabs. KEYWORDS: Reinforced solid concrete slabs, Direct fire flame, Thermal flame, Cooling method.
Pengaruh Electronic-Word of Mouth dan Electronic-Service Quality terhadap Electronic-Repurchase Intention pada PT Rosalia Indah Transport
Authors: Duary Gamastri , Waloejo Handjojo Djoko , Purbawati Dinalestari
Published: January 2024

The number of new bus companies that have emerged has made otobus entrepreneurs compete to win the competition, one of which is by creating an online ticketing system that will make it easier for customers to order tickets. To get a high intensity of electronic-repurchase, one way is to maintain good electronic-word of mouth and electronic-service quality. High electronic repurchase intention can be influenced by electronic-word of mouth and good electronic-service quality in accordance with customer expectations. In fact, not all bus companies have good electronic-word of mouth and electronic-service quality, including PT Rosalia Indah Transport. This type of research is explanatory research with purposive sampling method. The data collection technique used was by distributing questionnaires to 100 respondents who had purchased Rosalia Indah online tickets at least 2 times in the last 3 months. The data analysis method in this study used SPSS version 25. The results in this study indicate that there is a positive influence between the electronic-word of mouth variable on electronic-repurchase intention, then there is a positive influence between the electronic-service quality variable on electronic-repurchase intention, and there is a positive influence between the electronic-word of mouth and electronic-service variables. quality on electronic-repurchase intention.Banyaknya perusahaan bus baru yang muncul membuat pengusaha otobus berlomba memenangkan persaingan, salah satunya dengan membuat sistem online ticketing yang akan memudahkan pelanggan untuk pemesanan tiket. Untuk mendapatkan intensitas pembelian ulang secara electronic- yang tinggi, salah satu caranya dengan menjaga electronic-word of mouth dan electronic-service quality dengan baik. Electronic-repurchase intention yang tinggi dapat dipengaruhi oleh electronic-word of mouth dan electronic-service quality yang baik sesuai dengan harapan pelanggan. Kenyataannya, tidak semua perusahaan otobus memiliki electroninc-word of mouth dan electronic-service quality yang baik, termasuk PT Rosalia Indah Transport. Tipe penelitian ini, yaitu explanatory research dengan metode purposive sampling. Teknik pengumpulan data yang digunakan dengan menyebarkan kuesioner kepada 100 responden yang pernah melakukan pembelian tiket Rosalia Indah secara online minimal 2 kali dalam 3 bulan terakhir. Metode analisis data dalam penelitian ini menggunakan SPSS versi 25. Hasil dalam penelitian ini menunjukkan terdapat pengaruh positif antara variabel electronic-word of mouth terhadap electronic-repurchase intention, lalu terdapat pengaruh positif antara variabel electronic-service quality terhadap electronic-repurchase intention, serta terdapat pengaruh positif antara variabel electronic-word of mouth dan electronic-service quality terhadap electronic-repurchase intention.
Pengaruh Emosi Positif dan Promosi Penjualan terhadap Perilaku Pembelian Impulsif pada Konsumen Shopee (Studi Kasus Pada Mahasiswa Universitas Diponegoro)
Authors: Wulandari Ning Tiyas , Prihatini Apriatni Endang , Farida Naili
Published: January 2024

This research aims to determine the effect of positive emotions and sales promotions on impulse buying behavior. This research uses explanatory research type with non probability sampling technique through purposive sampling approach. Data collection was carried out by distributing research questionnaires to 100 Diponegoro University students. Positive emotions and sales promotions have a positive effect on impulse purchases in Shopee consumers, Diponegoro University students. The results of research related to the positive emotion variable show that Shopee's consumer comfort is still low, for that Shopee is advised to improve its service quality. The results of research related to sales promotion variables show that Shopee consumers consider the sales promotions offered by Shopee to be not so easy and clear and the timing of sales promotions is not quite right. For this reason, it is recommended that Shopee be able to make the terms and conditions of promotions easy and clear and consider the right time to implement sales promotions. Penelitian ini bertujuan untuk mengetahui pengaruh emosi positif dan promosi penjualan terhadap perilaku pembelian impulsif. Penelitian ini menggunakan tipe explanatory research dengan teknik pengambilan sampel non probability sampling melalui pendekatan purposive sampling. Pengumulan data dilakukan dengan menyebarkan kuesioner penelitian pada 100 Mahasiswa Universitas Diponegoro. Emosi positif dan promosi penjualan berpengaruh positif terhadap pembelian impulsif pada konsumen Shopee Mahasiswa Universitas Diponegoro. Hasil penelitian terkait variabel emosi positif menunjukkan bahwa kenyamanan konsumen Shopee masih rendah, untuk itu Shopee disarankan dapat meningkatkan kualitas pelayanannya. Hasil penelitian terkait variabel promosi penjualan menunjukkan bahwa konsumen Shopee menganggap promosi penjualan yang ditawarkan Shopee tidak begitu mudah dan jelas serta waktu pelaksanaan promosi penjualan kurang tepat. Untuk itu, Shopee disarankan dapat membuat syarat dan ketentuan promosi dengan mudah dan jelas serta mempertimbangkan waktu pelaksanaan promosi penjualan yang tepat.
Particular Desire in Aristotle’s ‘Voluntary’
Authors: Liu Benjamin C.
Published: January 2024

Aristotle’s account of voluntariness (to hekousion) lacks a sufficiently precise positive definition of ‘voluntary’. This is a problem: in Aristotle’s ethics, voluntariness is an important and unifying joint between psychological (character) and practical matters (action). I contend that Aristotle implicitly defines voluntariness as positive causal relation to an agent’s desire, where one’s character is the state of one’s faculty of desire. Since desires always have particular ends (final causes), a voluntary action is one which originates in the agent’s desire for that action’s end. Using this interpretation, I answer questions about ‘mixed’ actions, culpable ignorance, and non-voluntariness. Without this interpretation, these questions cannot be systematically answered.
Development of a new candidate vaccine against piglet diarrhea caused by Escherichia coli
Authors: Xu Chongli , Fu Fengyang , She Yuhan , Yang Danni , Peng Kun , Lin Yimin , Xu ChongBo
Published: January 2024

Enterotoxigenic Escherichia coli (ETEC) is an important type of pathogenic bacteria that causes diarrhea in humans and young livestock. The pathogen has a high morbidity and mortality rate, resulting in significant economic losses in the pig industry. To effectively prevent piglet diarrhea, we developed a new tetravalent genetically engineered vaccine that specifically targets ETEC. To eliminate the natural toxin activity of ST1 enterotoxin and enhance the preventive effect of the vaccine, the mutated ST

1
, K88ac, K99, and LT

B
genes were amplified by PCR and site-specific mutation techniques. The recombinant strain BL21(DE3)(pXKK3SL) was constructed and achieved high expression. Animal experiments showed that the inactivated vaccine had eliminated the natural toxin activity of ST1. The immune protection test demonstrated that the inclusion body and inactivated vaccine exhibited a positive immune effect. The protection rates of the inclusion body group and inactivated vaccine group were 96 and 98%, respectively, when challenged with 1 minimum lethal dose, indicating that the constructed K88ac-K99-3ST1-LTB vaccine achieved a strong immune effect. Additionally, the minimum immune doses for mice and pregnant sows were determined to be 0.2 and 2 mL, respectively. This study suggests that the novel K88ac-K99-3ST1-LTB vaccine has a wide immune spectrum and can prevent diarrhea caused by ETEC through enterotoxin and fimbrial pathways. The aforementioned research demonstrates that the K88ac-K99-3ST1-LTB vaccine offers a new genetically engineered vaccine that shows potential for preventing diarrhea in newborn piglets.
Seasonal and culture period variations in the lipid and fatty acid content of Ulva lactuca cultivated in Mikhmoret onshore (Israel)
Authors: Gnayem Nabeel , Unis Razan , Gnaim Rima , Chemodanov Alexander , Israel Álvaro , Gnaim Jallal , Golberg Alexander
Published: January 2024

The use of high-value fatty acids (FA), omega-3 (n-3), and omega-6 (n-6) from seaweed could relieve the pressure from natural wild fish sources and reduce overfishing worldwide. This research is designed to explore how the harvest season (winter, spring, and summer) and culture period influence the biomass production yield, lipid content, and FA composition in the green seaweed Ulva sp. The studied seaweed was grown in plastic sleeves with flowthrough seawater in Mikhmoret (East Mediterranean, Israel) from July 2019 to December 2020. The Ulva species was identified as Ulva lactuca Linnaeus by DNA barcoding using rbcL, ITS, and tufA markers. No detectable genetic variability in U. lactuca samples was found throughout the research period. A quantitative examination of the lipid and FA content in U. lactuca in different harvest seasons revealed that the maximum content of lipids was in the summer, and that of polyunsaturated fatty acids (PUFAs) was in the winter. The PUFA profile included eicosapentaenoic acid, docosapentaenoic acid, docosahexaenoic acid, n-3, and n-6, where the n-6/n-3 ratio was comparable with the desired range for a balanced nutritional diet.
Harmonizing the post-analytical phase: focus on the laboratory report
Authors: Plebani Mario
Published: January 2024

The final, post-analytical, phase of laboratory testing is increasingly recognized as a fundamental step in maximizing quality and effectiveness of laboratory information. There is a need to close the loop of the total testing cycle by improving upon the laboratory report, and its notification to users. The harmonization of the post-analytical phase is somewhat complicated, mainly because it calls for communication that involves parties speaking different languages, including laboratorians, physicians, information technology specialists, and patients. Recently, increasing interest has been expressed in integrated diagnostics, defined as convergence of imaging, pathology, and laboratory tests with advanced information technology (IT). In particular, a common laboratory, radiology and pathology diagnostic reporting system that integrates text, sentinel images and molecular diagnostic data to an integrated, coherent interpretation enhances management decisions and improves quality of care.