bluuebunny/crossref_metadata_2025_split huggingface dataset:
SL4U: A Scenario Description Language forUnmanned Swarm
Authors: Zhao Yue , Yao Yuan , He Tong , Zhou Xingshe , Shen Bo 
Published: March 2023

Abstract
Unmanned swarm systems are now employed in a wide range of applications. Agriculture, commerce, and the military will all benefit from the advancement of unmanned swarm technology. To support multiple applications, the scenarios should have a standardized description and definition as the system input, allowing for more precise and specific processing and resource planning. In this paper, the Scenario description Language for Unmanned swarm (SL4U) is introduced in order to implement the unmanned swarm scenario. The scenario is divided into environment and task. We describe the environment, including the task space, target and home locations, and the initial settings of the unmanned swarm. In terms of tasks, we have identified four categories of tasks, four temporal relationship constraints, the event handler, as well as other elements.The dual engines of parsing and micro-embedded collaboration we developed will handle the SL4U. We employ a search and rescue scenario in both simulation and physics to test SL4U. Through the processing of the dual engines, the unmanned swarm's search and rescue operations in a predefined environment are accomplished successfully. As scenarios are developed, the benefits of SL4U will become more apparent, as it will drastically reduce personnel costs and experimentation time.
Multistability Analysis and Adaptive Feedback Control on a New Financial Risk System
Authors: Johansyah Muhammad Deni , Sambas Aceng , Vaidyanathan Sundarapandian , Benkouider Khaled , Sulaiman Ibrahim Mohammed 
Published: March 2023

Abstract
This study presents the findings of a new financial risk system (FRS) with one absolute function and two quadratic nonlinearities. The rich dynamic behaviors of the new financial risk system are discussed analytically and numerically through stability analysis, phase portrait, bifurcation diagram, Lyapunov exponent, multistability and coexisting attractors. In addition, a new financial risk system with two quadratic nonlinear-ities and one absolute function shows multistability and coexistence of chaotic attractors. Using adaptive feedback control, we established a new control law for fully synchronising the proposed chaotic financial systems with itself. To conclude, some numerical simulation was presented using MATLAB to illustrate the efficiency of the designed method.
Decision trees as feature selection methods to characterize the novice panel’s perception of Pinot noir wines
Authors: An Jingxian , Kilmartin Paul A. , Young Brent R. , Deed Rebecca C. , Yu Wei 
Published: March 2023

Abstract

Consumer perceptions and purchase behaviours are typically determined by phenolic influenced sensory attributes such as astringency, bitterness, and sourness. Marketing strategies would be more effective if machine learning methods assisted winemakers in understanding the chemical parameters that influence panellists' sensory evaluations of Pinot noir wines. Nowadays, feature selection methods such as random forest classifier and neighbourhood component analysis are utilised to select important factors. In the meantime, decision trees are utilised in regression or classification models as opposed to feature selection methods. In this study, decision trees were able to identify the relationships between sensory attributes and important chemical parameters in Pinot noir wines from diverse product extrinsic cues (regions of origin, vintages and price points) and novice panels. Decision trees not only could be utilised to build soft sensors but also work as effective feature selection methods, which could inspire winemakers to make proper Pinot noir wines. With the help of principal component analysis and scatter plots, it was discovered, for instance, that total phenolics, total flavanols, total flavan-3-ols, and total tannins in wines could considerably contribute to astringency, bitterness, and sourness and that total anthocyanin could contribute to clarity regardless of diverse Pinot noir wine or novice panels.
Antioxidant dihydrolipolic acid protects against aluminum-induced toxicity in Alzheimer's model
Authors: SANAJOU Sonia , Yirün Anil , Demirel Göksun , Cakir Deniz Arca , Sahin Gönül , Erkekoglu Pinar , Baydar Terken 
Published: March 2023

Abstract

Dihydrolipoic acid (DHLA) is a natural antioxidant that is recognized as being useful in combating metal toxicity and oxidative stress. It can protect cells from environmental contaminants and may be beneficial in treating neurodegenerative diseases by protecting against oxidative damage and chronic inflammation. Therefore, this study aimed to investigate the possible neuroprotective effects of DHLA against aluminum-induced toxicity in an in vitro Alzheimer’s disease (AD) model. The study focused on the glycogen synthase kinase3 (GSK3) pathway, and the Wnt signaling. A differentiated SH-SY5Y cell line model of AD was developed, and the study groups were as follows: control, Al, DHLA, Al-DHLA, AD, AD-Al, AD-DHLA, and AD-Al-DHLA. The impact of DHLA on oxidative stress parameters was evaluated, and GSK3 pathway was evaluated by measuring GSK3-β, human serine/threonine-protein phosphatase PP1-alpha catalytic subunit (PPP1CA), protein phosphatase 2A (PP2A) levels, and human RAC-alpha serine/threonine-protein kinase (AKT1). The Wnt signaling pathway was evaluated by measuring canonical Wingless and Int-1/β-catenin (Wnt/β-catenin) on different study groups. Exposure to DHLA reduced oxidative stress by dramatically lowering reactive oxygen species levels, protecting against protein oxidation, and limiting malonaldehyde production. Additionally, the total antioxidant capacity of DHLA-treated groups increased drastically. Furthermore, upregulation of Wnt signaling and downregulation of GSK3 pathways were observed in the groups treated by DHLA. Overall, the neuroprotective effects of DHLA, especially by reducing oxidative stress and regulating key imbalanced pathways in AD disease, make it a good candidate to be added to AD patients' treatment regimens.
Robust Sliding Mode Control for Two-Wheel Robot Without Kinematic Equations
Authors: Mousaei Arash , Gheisarnejad Meysam , Khooban Mohammad Hasan 
Published: March 2023

Abstract
This article proposes solutions to control the balance of a two-wheel robotic system in the presence of uncertainties in the dynamic equations and without the need for kinematic equations. To do this, the dynamic equations of this system are first transferred to the error area and then these equations are divided into two completely independent subsystems, under excitation, and full excitation. In the following, two completely different sliding mode controllers are presented to control the under-excitation subsystem, which can make this subsystem asymptotically stable in the presence of structural and non-structural uncertainties. After that, a sliding mode control is proposed to control the entire excitation subsystem, making this subsystem asymptotically stable in the presence of existing uncertainties. Since these two subsystems are completely independent of each other, proving their global asymptotic stability provides proof of the global asymptotic stability of the closed-loop system. The isolation of two-wheel balancing robot subsystems eliminates the need to use kinematic equations, resulting in structural uncertainties not affecting the tracking accuracy of closed-loop system state variables. Finally, to verify the performance of the proposed controllers and compare their performance results, three-stage simulations are implemented on the two-wheel Balance robotic system. Mathematical proofs and simulation results show the optimal performance of the proposed solutions.
Nitrate removal from aqueous solutions with sodium alginate/quaternary branched polyethylenimine/carboxylated multi-wall carbon nanotube
Authors: khademian Maryam , Sarrafi Yaghoub , Tajbakhsh Mahmood , Hasantabar Vahid 
Published: March 2023

Abstract
One concern in recent years is increasing the amount of nitrate in drinking water. This study investigated nitrate adsorption using sodium alginate/quaternary branched polyethylenimine /carboxylated multi-wall carbon nanotube nanocomposite beads. The structure of nanocomposite beads was characterized with Field emission scanning electron microscopy images (FE-SEM), Energy dispersive X-ray mapping (EDX), X-ray diffraction spectroscopy (XRD), Fourier transform-infrared spectroscopy (FT-IR), and Thermogravimetric analysis (TGA). Several experiments were performed to optimize adsorption conditions, adsorption isotherms, kinetics, and reusability of the synthesized nanocomposite beads. Temkin and Freundlich isotherms, and the pseudo-first-order kinetic model, provided the best fit for the experimental adsorption data. Under optimal conditions, the nitrate removal efficiency was 72%. The results demonstrated that the introduced nanocomposite beads are pH-stable, have low-cost preparation, are recyclable at least for twelve adsorption-desorption cycles, and are safe.
A study on the model of robust fractional order extended Kalman filtering with gross error
Authors: Zhao Jiaxing , Wang Jian , Han Houzeng , Jiang Tao 
Published: March 2023

Abstract
Based on the Huber function, this paper constructs a model of the robust fractional order extended system (RFEKF), which effectively reduces the influence of the gross error. Firstly, by analyzing the abnormal observation characteristics of gross error in fractional order system, the RFEKF is constructed by an equivalence weight matrix of introducing redundancy and the statistical characteristics of predicted residuals, and thus it adjusts the gain matrix and obtains the optimal solution through iteration. Secondly, combined with the RFEKF, the robust estimation of the observed values with gross error is carried out, which further improves the real-time operational efficiency of the model. Finally, simulation experiment and practical implementation are carried out to verify the proposed RFEKF model in GNSS positioning and navigation field, the results show that the RFEKF can still navigate correctly in the case of gross error, compared with EKF, the accuracy of navigation positioning can be significantly improved.
Text Sentiment Analysis with Event Information
Authors: Zhang Xue , Zhao Hui , Chang Jingjing , Ying Di 
Published: March 2023

Abstract
In recent years, the research of text sentiment analysis has recognized the importance of associating events with sentiment polarity, that is, the sentiment triggered by events can be detected through direct or indirect modeling of events. However, there are two problems with the current study: (1) There is no publicly available dataset; (2) Existing models fail to better model event information. To address these issues, we created an event-based sentiment analysis dataset (ESCO), where each sentence is labeled with event triplet representation and sentiment polarity labels. Based on this dataset, we propose a sentiment analysis model Event-GCN-Attention (EGA) based on event-enhanced semantics. We use Bi-directional Long-Short Term Memory (Bi-LSTM) and Graph Convolutional Network (GCN) to model event information. At the same time, Bi-LSTM is used to model the context information of sentences, and multi-polarity orthogonal attention is used to capture the difference attention weight under different polarities, which can be used as a significant discriminant feature. Finally, we assign different weights according to the importance of event information and sentence context information and combine them to get the final sentence representation. These representations can be used to guide downstream sentiment analysis tasks. Studies show that our proposed model outperforms existing baseline models in our constructed dataset. The dataset (ESCO) is publicly available on https://github.com/cjj-sunshine/event-based-implicit-sentiment-analysis.
Designing laterally loaded piles relying on the Generalized Coefficient of Earth Pressure and static analysis of elastic beams
Authors: Pantelidis Lysandros 
Published: March 2023

Abstract
There is no doubt that the problem of a laterally loaded pile is an earth pressure analysis problem, involving the flexural rigidity of the pile and the possible fixity of the pile head to a pile cap. During the deformation, which is a combination of bending, rotation and horizontal translation, the earth pressures may take any value between the state at-rest and the active or the passive state on the two sides of the pile. The current practice, as this is depicted by the various design standards, is the p-y method, with the soil to be replaced by an array of parallel springs. This simplification is accompanied by rough assumptions for the Winkler spring constant. Relatively, the author offers a brief, yet comprehensive, review of the more important p-y methods, shedding some light to their validity and highlighting the need for adopting a more rational approach. In this respect, quite recently the author proposed a continuum mechanics approach for deriving earth pressure coefficients for any soil state between the at-rest state and the active or the passive state, applicable to cohesive-frictional soils and both horizontal and vertical pseudo-static conditions. An analytical expression for the calculation of the required structure movement for the mobilization of the active or passive failure state of soil is also provided. The proposed method combines these expressions with the static analysis of elastic beams, offering complete earth pressure and pile deflection diagrams, taking also into account the inertial effect of a possible seismic event (in a pseudostatic manner), as well as the overconsolidation caused by a displacement pile to the surrounding soil. Finally, the location of the point of virtual fixity, which is an important parameter in the case of long, slender piles, is calculated following the proposed procedure.
Estimation of regional intensity–duration–frequency relationships of extreme rainfall by simple scaling in Thailand
Authors: Yamoat Nirat , Hanchoowong Ratchawatch , Yamoad Oratai , Chaimoon Nida , Kangrang Anongrit 
Published: March 2023

AbstractIn 2022, Thailand was subjected to extensive flooding all over the country in both urban and rural areas, which caused tremendous losses. Better design and construction of infrastructures for timely and sufficient drainage can help mitigate the problems. This requires accurate intensity–duration–frequency (IDF) relationships at or near the problem areas. To obtain an IDF curve, a continuous rain record from an automatic gauge of the area is needed. Some automatic rain-gauge stations are scattered all over the country and are much fewer in number than the daily-reading rain-gauge stations. By applying a simple scaling theory, we can construct IDF curves from the daily rain records. The 37 automatic stations distributed the scaling exponent over the country. Gumbel location and scale parameters, from 30-year rainfall records, were determined. These three parameters were mapped throughout the country and are ready to be used for creating an IDF curve at any location in the country. We verified these parameters to generate IDF curves for three sites in different regions and found very good agreements. The majority of the errors were less than 15%.
Влияние директивного стиля воспитания и гиперопеки на формирование толерантности и интолерантности к неопределенности
Authors: Найденова Елизавета В. 
Published: March 2023

В статье рассмотрен вопрос влияния стилей воспитания на формирование положительного или отрицательного отношения личности к ситуациям неопределенности. Актуальность обуславливается современными реалиями жизни, которые подразумевают частое столкновение с новыми, неизвестными задачами, необходимость существовать в изменяющемся мире. В данной работе впервые затрагивается вопрос формирования различных уровней толерантности к неопределенности в зависимости от того, какие стили воспитания применялись в семье, в чём выражается новизна исследования. Во введении автор приводит аналитический обзор различных подходов относительно вопросов толерантности к неопределенности и таких стилей воспитания, как директивность и гиперопека. Был отмечен двойственный подход к пониманию такого явления как толерантность к неопределенности. Выборка исследования составила 61 человека в возрасте от 18 до 25 лет. В разделе «Методы» обозначены основные способы анализа как теоретических, так и эмпирических данных. Результаты исследования показывают положительные связи между интолерантностью к неопределенности, директивностью и гиперопекой. Также отмечено наличие отрицательных связей между толерантностью к неопределенности и приведенными стилями воспитания. В разделе «Обсуждение результатов» автор отмечает, что стили и методы воспитания значительным образом сказываются на формировании креативности, которая во многом необходима для проявления высокой толерантности к неопределённости. В разделе «Заключение» автор приходит к выводу о том, что использование жестких методов в воспитании, а также гиперопеки приводит к снижению толерантности к неопределенности и росту интолерантности во взрослом возрасте.
Аффективно-когнитивные предикторы академической успешности современных студентов: аналитический обзор
Authors: Юхно Виктория С. , Денисова Екатерина Г. 
Published: March 2023

Многих современных психологов интересует вопрос о том, что влияет на академическую успешность, поскольку студенты получают совершенно различные результаты в ходе познавательного процесса. Не иссякающий интерес к проблеме академической успешности в современной психологии обусловлен возрастанием значимости для современного человека определенного уровня самоэффективности, а также повышением требований к эффективности образовательного процесса, в том числе, академической успешности студентов на разных ступенях обучения. Новизна исследования заключается в комплексном подходе к анализу данной проблемы, а именно к рассмотрению как когнитивных, так и аффективных предикторов академической успешности в современных условиях.
Целью работы является анализ специфики аффективных и когнитивных предикторов академической успешности студентов. В данной статье представлен обзор современных теоретических и эмпирических исследований, посвященных зависимости академической успешности от уровня выраженности характеристик когнитивных способностей, метакогнитивных навыков, эмоционального интеллекта и эмоций. Поиск литературных источников был выполнен на базе поисковой системы Google Академия, а также с использованием ресурсов Научной электронной библиотеки (eLIBRARY.ru, КиберЛенинка). Отбор источников производился преимущественно за период с 2007 по 2022 год. Анализ позволяет заключить, что аффективные и когнитивные характеристики действительно оказывают значительное влияние на академическую успешность студентов. В результате были выделены определенные компоненты, влияющие на уровень академической успешности студентов, такие как: интеллект и креативность, когнитивные стили и метакогнитивные навыки, эмоциональный интеллект и эмоции. Результаты теоретического обзора могут быть использованы для раннего выявления возможных проблем в усвоении учебного содержания образовательных программ, их профилактики, а также разработки программ сопровождения и коррекции академического перфоманса через повышение уровня рефлексии, развитие эмоционального интеллекта, креативности и метакогнитивных навыков.
Documentação no Brasil
Authors: SILVA Giane da Paz Ferreira , Galindo Marcos , Silveira Murilo Artur Araújo da 
Published: March 2023

Esse estudo apresenta os conceitos de documento e documentação propostos por Paul Otlet (1868-1944) presentes no âmbito da Revista do Serviço Público (RSP). Publicada desde 1937, a RSP contempla artigos nas áreas de Administração e Gestão pública, Políticas públicas e Economia do setor público, sendo considerada um importante veículo de informação no Brasil, contemporâneo ao período de efervescência do pensamento de Otlet. A pesquisa consiste numa Revisão Sistemática de Literatura (RSL) com análise documental da RSP no período entre 1951 e 1975. Como procedimento de seleção dos artigos, utiliza o protocolo de pesquisa RSL elaborado por Valentim (2020). A partir do corpus de análise dos textos recuperados identifica os artigos que apresentam os conceitos de “documento” e “documentação” segundo Otlet, bem como os elementos constitutivos sobre o cenário da documentação no Brasil, na perspectiva da publicação de autores brasileiros na RSP, concluindo que os trabalhos analisados contemplam e ampliam a temática da Documentação com importantes reflexões de Otlet para a Ciência da Informação no Brasil.
Linking Career Anxiety with Suicide Tendencies among University Undergraduates
Authors: Onyishi Charity N. 
Published: March 2023

Background:
Suicide is increasingly becoming a worldwide public health issue. The issue of suicide in universities is one of the most pressing concerns in Nigeria and the world. Yet, it has not been clear the factors that account for increased suicide among university students. This study investigated the link between career anxiety and suicidal tendencies among university undergraduates.

Methods:
The study was cross-sectional correlational and used a sample of 3,501 undergraduates in Nigeria. Career anxiety was measured using the two-factor career anxiety scale (CAS -2). At the same time, suicide tendencies were weighed using the Multi-attitude Suicide Tendency Scale (MAST), and Suicidal Ideation Attributes Scales (SIDAS).

Results:
Data collected were analyzed using percentages to interpret demographic data. Mean and standard deviation was presented for descriptive purposes. Linear regression was used to explore the links between career anxiety and suicidal tendencies at p < 0.05 level of significance. Results indicated that a high level of career anxiety was significantly correlated with increased suicidal tendencies, such as repulsion for life, attraction to death, and suicidal ideation. A low level of career anxiety was associated with decreased suicidal tendencies, characterized by an increased attitude toward attraction to life and repulsion to death.

Conclusion:
It was concluded that students with problematic career anxiety are likely to report a negative attitude toward life, which leads to increased suicidal ideation. Accordingly, career anxiety may cause one to seriously consider or contemplate suicide.
Acceder a los servicios de salud: la mirada de migrantes del Chocó a Medellín
Authors: Asprilla Córdoba Keyra Liseth , Montenegro Martínez Gino 
Published: March 2023

Introduction: Internal migration implies facing a series of conditions that prevent or delay the use of health services; objective: Understand barriers to health services access from the perspective of Chocó migrants living in Medellín.; methodology: Qualitative study, two focus groups were carried out in which 13 people with migratory experience from the department of Chocó to Medellín participated-; results: Afro-Colombian migrant population experiences barriers to entry due to not being insured by the general social security system in health, denial of service provision, lack of information, and unfavorable geographical accessibility. In health services, the barriers are associated with the color of skin and barriers due to delay or denial of authorization for procedures; conclusions: Migrant population experiences barriers to access to health services. An intersectoral approach to this problem is required, considering the particularities of the migratory context in the country where issues such as employment, education, and violence by armed actors, among others, are mainstreamed.