bluuebunny/crossref_metadata_2025 huggingface dataset:
Drivers and Implications of Land Cover Dynamics in Muger Sub-Basin, Abay Basin, Ethiopia
Authors: Teshome Dawit Samuel , Taddese Habitamu , Tolessa Terefe , Kidane Moges , You Songcai
Published: September 2022

Research on the landscape level dynamics of land cover and an understanding of the drivers responsible for these changes are useful for formulations of sustainable land management strategies and policy decisions. The pace and magnitude of the LCCs in Ethiopia are threatening the natural ecosystem and creating vulnerability to environmental hazards. This study used a combination of remotely sensed data, field interviews, and observations to examine the dynamics and identify the driving forces of LCC from 1986 to 2020 in the Muger sub-basin, Ethiopia. Multi-temporal satellite images were classified using supervised and unsupervised methods. Information from focus group discussions and the variable ranking method were used to explain the drivers of the observed changes. The study results showed a decline in forest cover from 11.80% in 1986 to 5.90% in 2020, which indicates a loss of 49.90% of the forest cover that existed in 1986. Bare land declined from 1.15% in 1986 to 0.57% in 2020. Similarly, grazing land declined from 1.52% in 1986 to 0.41% in 2020. Wetland also declined from 1.93% in 1986 to 0.31% in 2020. Conversely, during the same period, the proportions of cultivated land, built-up areas, shrubland, and water bodies have risen from 68.86% to 70.44%, from 0.03% to 1.53%, from 14.39% to 20.27%, and from 0.34% to 0.56%, respectively. Population growth and poor agricultural practices were identified as the main causes of LCC in the sub-basin. Therefore, the findings of this study suggest that implementation of comprehensive and integrated basin management policies and strategies will be indispensable to managing the risks and ensuring sustainable development in the larger Abay basin.
Modular Structure Construction Progress Scenario: A Case Study of an Emergency Hospital to Address the COVID-19 Pandemic
Authors: Chen Lingkun , Zhai Chencheng , Wang Lu , Hu Xiaolun , Huang Xiaoming
Published: September 2022

Recently, emergency structures have been in the spotlight because of the coronavirus disease (COVID-19) pandemic. This research examines the use of modular integrated construction (MiC) in developing an emergency hospital for individuals with novel coronavirus-infected pneumonia (NCIP). The whole process of building is based on the modular design and assembly idea. The primary structure was constructed using the modular steel buildings (MSBs) concept to suit emergency structures’ functional qualities and quick construction needs. An intelligent operation and maintenance management platform was built utilizing 5G, AI, IoT (IoT), cloud, big data, an d other technologies. A BIM model was created to evaluate and compare the construction plan, develop the combined section and connection node plan, and complete the detailed design of assembled steel structures. On-site modularization of fundamental structural components and accessories is utilized in a flowing operating mode, where the housing and supporting installation are closely coordinated. The research results show that information and data interaction is the key to speedy building design and construction, with digital simulation in one stage and on-site assembly in a crammed way. The study findings may be used to build comparable structures faster, utilizing modular building techniques.
Environmental Decentralization, Heterogeneous Environmental Regulation, and Green Total Factor Productivity—Evidence from China
Authors: Fang Yuxin , Cao Hongjun
Published: September 2022

The effective enhancement of green total factor productivity (GTFP) through macro-regulatory tools—environmental decentralization and environmental regulation and thus the promotion of high-quality and sustainable economic development—is a hot topic of current research. However, many studies have focused on how environmental decentralization or environmental regulation affects green total factor productivity, lacking attention to the relationships and impact paths among the three. To clarify the mechanisms of action of the three effects, this paper measures the GTFP of 30 Chinese provinces and cities from 2010 to 2020 through the Super-SBM model. The mediating effect of environmental regulation between environmental decentralization and GTFP is examined. Firstly, the study findings suggested that environmental decentralization is significantly negatively related to GTFP, while different environmental regulations are all significantly positively related to GTFP. Secondly, environmental decentralization suppresses GTFP in eastern China, which has a non-significant effect in central China. It has a catalytic effect on GTFP in western China. Finally, environmental decentralization can enhance GTFP by promoting public participation in environmental regulation. The findings of this paper have implications for adjusting environmental decentralization, environmental regulation policies, and formulating green economic transition and development strategies.
Impact of Digital Finance on Energy Efficiency in the Context of Green Sustainable Development
Authors: Yang Chengying , Masron Tajul Ariffin
Published: September 2022

Limited by ecological conditions, in order to improve the innovation efficiency concerning energy, a change from “extensive” to “green” is required. The development of sustainable technology is the most important productive force. Economic development is centered on finance. Only by mutual penetration and interaction can China’s energy innovation be effectively promoted. “Green GDP (Gross Domestic Product)” is the main direction of China’s current economic development. A sustainable green digital economy is the primary condition for promoting energy efficiency, and it is the key to improving energy efficiency in China to achieve a green transition. Green finance for sustainable development refers to economic finance centered on energy conservation, environmental protection and technological innovation. Attention is constantly paid to the financial industry in China, and we are trying to combine the concept of environmental protection with financial development to promote the continuous development of China’s environmental protection economy. A company’s economic and environmental benefits will be improved from the point of view of improving resource conservation and reducing the environmental impact of equipment and processes. To achieve this goal, the “efficiency effect” of the financial system needs to be fully exploited to maximize energy efficiency. An empirical study about the relationship of financial performance and energy efficiency in the green sector is carried out while considering the environmental constraints. The results show that the expansion of the financial scale and the adjustment of the financial structure have increased the energy utilization efficiency by more than 15% from the past to the present and reduced the pollution of the ecological environment by more than 10% nationwide, realizing the effective allocation of resources. Digital finance is a new generation of financial services that combines the Internet and information technology with traditional financial service formats. Including Internet payment, mobile payment, online banking, financial service outsourcing and online loans, online insurance, online funds and other financial services. Therefore, the sustainable development of all aspects of finance has a huge catalytic effect on the doubling of energy utilization efficiency.
The GCC Economies in the Wake of COVID-19: Toward Post-Oil Sustainable Knowledge-Based Economies?
Authors: Ben Hassen Tarek
Published: September 2022

The economic crisis and decline in oil prices caused by the pandemic led governments in the Gulf Cooperation Council (GCC) region to step up their diversification efforts. Prior to the COVID-19 pandemic, the Gulf Cooperation Council (GCC) countries were already striving to diversify their economies away from dependence on hydrocarbons, with varying degrees of success. Their development plans and visions aim to shift their economies away from oil and gas toward knowledge-based post-oil economies with solid and sustainable foundations. Accordingly, this paper has three goals. Firstly, it aims to present the GCC’s socio-economic features and highlight the importance and relevance of economic diversification. Secondly, it seeks to analyze the impact of the COVID-19 pandemic on GCC economies and evaluate how the pandemic spurred diversification initiatives. Thirdly, the paper aims to analyze the present state of the knowledge-based economy in the GCC region, including its strengths, drawbacks, and prospects for the future. The methodology of the paper is based on a semi-systematic literature review that includes academic and gray literature. The findings highlight that throughout the previous several decades, continuous efforts to develop the status of ICT, education, innovation, and entrepreneurship in several GCC countries have contributed to improving their international competitiveness, as seen by advancements in rankings issued by various international organizations. Furthermore, political stability, significant financial resources, and a stable credit rating provide these countries with solid foundations for future sustainable development. However, several functional, structural, and cultural factors challenge the diversification process and the shift toward a knowledge-based economy.
A New Synchronous Handling Technology of Double Stack Container Trains in Sea-Rail Intermodal Terminals
Authors: Zhao Zhongbin , Wang Xifu , Cheng Suxin , Liu Wei , Jiang Lijun
Published: September 2022

With the advantages of large volume, low unit transportation costs, as well as sustainable and stable transport capacity, China in recent years has actively promoted the innovative pilot of double-stack container sea-rail intermodal transport in the Ningbo-Zhoushan port. In this study, a new synchronous handling technology is proposed to improve the handling efficiency of double-stack container trains at sea-rail intermodal terminals. This research primarily focuses on the design of an LDAGV (Automatic Guided Vehicle with Loading and Discharging Function) and a new special articulated flat car for double-stack container trains, while also optimizing the overall layout of the container terminal yard. It then evaluates nine double-stack container stacking forms based on the requirements of transport gauge and center of gravity height. Finally, using data from the Ningbo Beilun No. 3 container terminal, a cost-benefit analysis is performed to compare the traditional handling scheme for common double-stack container trains and the new synchronous handling scheme for double-stack container trains with new special articulated flat car. The results show that the application of new synchronous handling technology has obvious advantages in terms of reducing the handling time and operation cost of double-stack container trains in sea-rail intermodal container terminals, as well as enriching the stacking forms of double-tier containers on the new special articulated flat car, thus reducing the difficulty of collecting cargoes and the organization of container source.
Spatial Optimization of Tourist-Oriented Villages by Space Syntax Based on Population Analysis
Authors: Wang Xinman , Zhu Rong , Che Baoqi
Published: September 2022

Tourism-oriented countryside is a development object that cannot be ignored in Chinese rural revitalization. As a special type of countryside, urban expansion and development have led to the gradual reduction of rural areas, which, in turn, has led to the deterioration of the spatial structure of tourism villages and the interdependence between villagers, merchants, and tourists. This has caused the loss of vitality of rural tourism spaces and the hollowing out of tourism villages. In our study, we used Space Syntax, based on population analysis, to research the three major populations of villagers, merchants, and tourists in tourism-oriented countryside. We optimized a total of four categories of rural space: street space, cultural space, landscape space, and public facilities. We found that spatial optimization improves the spatial layout, spatial accessibility, and spatial compounding of spaces. By constructing a model of harmonious development of the spatial structure of tourism villages with villagers, merchants, and tourists, the problem of hollowing out of tourism villages can be effectively solved. This will ease the contradictory relationship between urban development and rural revitalization, promoting the sustainable development of Chinese society, economy, and culture.
Numerical Analysis of an Explicit Smoothed Particle Finite Element Method on Shallow Vegetated Slope Stability with Different Root Architectures
Authors: Jia Xichun , Zhang Wei , Wang Xinghan , Jin Yuhao , Cong Peitong
Published: September 2022

Planting vegetation is an environmentally friendly method for reducing landslides. Current vegetated slope analysis fails to consider the influence of different root architectures, and the accuracy and effectiveness of the numerical simulations need to be improved. In this study, an explicit smoothed particle finite element method (eSPFEM) was used to evaluate slope stability under the influence of vegetation roots. The Mohr–Coulomb constitutive model was extended by incorporating apparent root cohesion into the shear strength of the soil. The slope factors of safety (FOS) of four root architectures (uniform, triangular, parabolic, and exponential) for various planting distances, root depths, slope angles, and planting locations were calculated using the shear strength reduction technique with a kinetic energy-based criterion. The results indicated that the higher the planting density, the stronger the reinforcement effect of the roots on the slope. With increasing root depth, the FOS value first decreased and then increased. The FOS value decreased with an increase in slope angle. Planting on the entire ground surface had the best improvement effect on the slope stability, followed by planting vegetation with a uniform root architecture in the upper slope region or planting vegetation with triangular or exponential root architecture on the slope’s toe. Our findings are expected to deepen our understanding of the contributions of different root architectures to vegetated slope protection and guide the selection of vegetation species and planting locations.
Pricing and Service Effort Decisions of Book Dual-Channel Supply Chains with Showrooming Effect Based on Cost-Sharing Contracts
Authors: Chen Yanwei , Liu Xiaojun , Huang Kaiqing , Tang Huajun
Published: September 2022

It is becoming increasingly difficult to ignore circular and sustainable economies. A traditional chain transits to a dual-channel supply chain, extending its online channel for more customers, and keeping its offline channel so as to reduce resource utilization for sustainable business. However, there exists some conflict between offline and online channels, such as the showrooming effect (i.e., customers visit an offline store to experience products but then buy them online with a lower price). This work studies a three-echelon book dual-channel supply chain involving an author, an online publisher and an offline retailer. Based on Stackelberg game theory, it investigates the optimal pricing solutions and the optimal retailer’s service effort level with two copyright models and considers the showrooming effect based on either decentralized or centralized decision-making. Afterwards, it develops a cost-sharing contract to make them achieve Pareto optimality. Furthermore, this research studies the influence of the showrooming effect on the optimal decisions and the profits of each member through theoretical and numerical analyses. The findings show that a well-designed contract can lead dual-channel members to cut down the negative impact of the showrooming effect and realize the win–win situation. Finally, it proposes some managerial insights and possible directions for the future.
Environmental Analyses of Delayed-Feedback Control Effects in Continuum-Traffic Flow of Autonomous Vehicles
Authors: Jafaripournimchahi Ammar , Cai Yingfeng , Wang Hai , Sun Lu
Published: September 2022

Connected and Autonomous Vehicles are predicted to drive in a platoon with the aid of communication technologies to increase traffic flow efficiency while improving driving comfort, safety, fuel consumption, and exhaust emissions. However, some vehicles in a group may face communication failures. Such potential risks may even worsen the efficiency and safety of traffic flow and increase fuel consumption and exhaust emissions. Therefore, there is a need to propose an alternative scheme to control traffic flow effectively through vehicle-based information without the aid of communication technologies. In this paper, a deterministic acceleration model was developed considering the sensor’s detection range to capture the underlying process of a car following the dynamics of autonomous vehicles. A delayed-feedback control was proposed based on the current and previous states of throttle angle to increase traffic flow stability and improve fuel consumption and exhaust emissions without the aid of communication technologies. Numerical simulations were carried out to study the impact of sensor detection range on micro-driving behavior and explore the effect of the proposed delayed-feedback control on the fuel consumption and exhaust emissions of autonomous vehicles in large-scale traffic flow. The numerical results certified that using delayed feedback with proper gains and delay time improved the total fuel consumption and exhaust emissions of autonomous vehicles.
The Range of a Module Measure Defined on an Effect Algebra
Authors: García-Pacheco Francisco Javier
Published: September 2022

Effect algebras are the main object of study in quantum mechanics. Module measures are those measures defined on an effect algebra with values on a topological module. Let R be a topological ring and M a topological R-module. Let L be an effect algebra. The range of a module measure μ:L→M is studied. Among other results, we prove that if L is an sRDP σ-effect algebra with a natural basis and μ:L→R is a countably additive measure, then μ has bounded variation.
Some New Quantum Numerical Techniques for Solving Nonlinear Equations
Authors: Nonlaopon Kamsing , Khan Awais Gul , Ameen Farah , Awan Muhammad Uzair , Cesarano Clemente
Published: September 2022

In this paper, we introduce some new quantum numerical techniques of midpoint and trapezoidal type essentially by using the decomposition technique. We also check the order of convergence of our suggested iterative methods. Numerical examples demonstrate that the new q-iterative methods can generate solutions to the nonlinear equations with acceptable accuracy.
Symmetry Analysis of a Model of Option Pricing and Hedging
Authors: Sitnik Sergey M. , Yadrikhinskiy Khristofor V. , Fedorov Vladimir E.
Published: September 2022

The Guéant and Pu model of option pricing and hedging, which takes into account transaction costs, and the impact of operations on the market is studied by group analysis methods. The infinite-dimensional continuous group of equivalence transforms of the model is found. It is applied to get the group classification of the model under consideration. In addition to the general case, the classification contains three specifications of a free element in the equation, which correspond to models with groups of symmetries of a special kind. Optimal systems of subalgebras for some concrete models from the obtained classification are derived and used for the calculation of according invariant submodels.
Autonomous Obstacle Avoidance Path Planning for Grasping Manipulator Based on Elite Smoothing Ant Colony Algorithm
Authors: Meng Xiaoling , Zhu Xijing
Published: September 2022

Assembly robots have become the core equipment of high-precision flexible automatic assembly systems with a small working range. Among different fields of robot technology, path planning is one of the most important branches. In the present study, an elite smoothing ant colony algorithm (ESACO) is proposed for spatial obstacle avoidance path planning of the grasping manipulator. In this regard, the state transition probability and pheromone update strategies are improved to enhance the search capability of path planning symmetry and the convergence of the algorithm. Then a segmented B-spline curve is presented to eliminate path folding points and generate a smooth path. Finally, a manipulator control system based on the Arduino Uno microcontroller is designed to drive the manipulator according to the planned trajectory. The experimental results show that the performance of the ESACO algorithm in different scenarios has symmetry advantages, and the manipulator can efficiently complete the simulation trajectory with high accuracy. The proposed algorithm provides a feasible scheme for the efficient planning of manipulators in equipment manufacturing workshops.
Trace of Chemical Reactions Accompanied with Arrhenius Energy on Ternary Hybridity Nanofluid Past a Wedge
Authors: Sajid Tanveer , Ayub Assad , Shah Syed Zahir Hussain , Jamshed Wasim , Eid Mohamed R. , El Din El Sayed M. Tag , Irfan Rida , Hussain Syed M.
Published: September 2022

Heat transfer is a vital fact of daily life, engineering, and industrial mechanisms such as cryogenic systems, spaceborne thermal radiometers, electronic cooling, aircraft engine cooling, aircraft environmental control systems, etc. The addition of nanoparticles helps to stabilize the flowing of a nanofluid and keeps the symmetry of the flowing structure. Purpose: In this attempt, the effect of endothermic/exothermic chemical reactions accompanied by activation energy on a ternary hybrid nanofluid with the geometry of a wedge is taken into consideration. The mathematical form of PDEs is obtained by Navier–Stokes equations, the second law of thermodynamics, and Fick’s second law of diffusion. The geometric model is therefore described using a symmetry technique. Formulation: The MATLAB built-in Lobatto III A structure is utilized to find the computational solution of the dimensionless ODEs. All computational outcomes are presented by graphs and statistical graphs in order to check the performance of various dimensionless quantities against drag force factor and Nusselt quantity. Finding: the addition of tri-hybridizing nanomolecules in the standard liquid improves the thermic performance of the liquid much better in comparison to simple hybrid nanofluids. Wedge angle parameter α brings about a decrement in fluid velocity and augmentation in thermal conductivity ϵ, thermal radiation Rd, thermophoresis parameter Nt and endothermic/exothermic reaction Ω, and fitted rate constant n accelerates the heat transmission rate. Novelty: The effect of tri-hybridizing nanomolecules along with endothermic/exothermic reactions on the fluid past a wedge have not been investigated before in the available literature.
Meir–Keeler Type Contraction in Orthogonal M-Metric Spaces
Authors: Alsaadi Ateq , Singh Bijender , Singh Vizender , Uddin Izhar
Published: September 2022

In this article, we prove fixed point results for a Meir–Keeler type contraction due to orthogonal M-metric spaces. The results of the paper improve and extend some recent developments in fixed point theory. The extension is assured by the concluding remarks and followed by the main theorem. Finally, an application of the main theorem is established in proving theorems for some integral equations and integral-type contractive conditions.
Common Fixed-Points Technique for the Existence of a Solution to Fractional Integro-Differential Equations via Orthogonal Branciari Metric Spaces
Authors: Gnanaprakasam Arul Joseph , Nallaselli Gunasekaran , Haq Absar Ul , Mani Gunaseelan , Baloch Imran Abbas , Nonlaopon Kamsing
Published: September 2022

The idea of symmetry is a built-in feature of the metric function. In this paper, we investigate the existence and uniqueness of a fixed point of certain contraction via orthogonal triangular α-orbital admissible mapping in the context of orthogonal complete Branciari metric spaces endowed with a transitive binary relation. Our results generalize and extend some pioneering results in the literature. Furthermore, the existence criteria of the solutions to fractional integro-differential equations are established to demonstrate the applicability of our results.
Conservation Laws and Travelling Wave Solutions for a Negative-Order KdV-CBS Equation in 3+1 Dimensions
Authors: Gandarias Maria Luz , Raza Nauman
Published: September 2022

In this paper, we study a new negative-order KdV-CBS equation in (3+1) dimensions which is a combination of the Korteweg-de Vries (KdV) equation and Calogero–Bogoyavlenskii–Schiff (CBS) equation. Firstly, we determine the Lie point symmetries of the equation and conservation laws by using the multiplier method. The conservation laws will be used to obtain a triple reduction to a second order ordinary differential equation (ODE), which lead to line travelling waves and soliton solutions. Such solitons are obtained via the modified form of simple equation method and are displayed through three-dimensional plots at specific parameter values to lend physical meaning to nonlinear phenomena. It illustrates that these solutions might be extremely beneficial in understanding physical phenomena in a variety of applied mathematics areas.
A Deterministic–Statistical Hybrid Forecast Model: The Future of the COVID-19 Contagious Process in Several Regions of Mexico
Authors: Febres Gerardo L. , Gershenson Carlos
Published: September 2022

More than two years after the declaration of the COVID-19 pandemic, we are still experiencing contagious waves. As this is a long-lasting process, it becomes relevant to have a predictive tool to identify the intensively active places within a region. This study presents the development of a forecasting model applied to foresee the progress of the contagious process in Mexico and its regions. The method comprehends aspects of deterministic and probabilistic modeling. The deterministic part comprises the classical SIR model with some adjustments. The probabilistic part builds and populates a three-dimensional array, which is then used to describe and recall the probabilities of going from one status to another after some time, very much like a Markovian process. The process status is modeled as the combination of two conditions: the infection exponential growth parameter and a proxy variable we named “permissiveness” that accounts for all combined social activity factors affecting COVID-19 propagation. The results offer projections of the exponential growth parameter and the number of newly infected individuals for three weeks into the future. The proposed method’s capabilities allow for predicting newly COVID-19-infected individuals with reasonable precision while capturing the characteristic dynamics and behavior of the modeled system.
Management and Control of Enterprise Negative Network Public Opinion Dissemination Based on the Multi-Stakeholder Game Mechanism in China
Authors: Peng Lijuan , Chen Tinggui , Yang Jianjun , Cong Tianluo
Published: September 2022

With the rapid growth of Chinese social network users, the open yet anonymous cyberspace makes the Chinese public more inclined to express their feelings and opinions freely on the Internet, and thus generate opinions that are not conducive to the survival and development of Chinese enterprises, i.e., enterprise negative network public opinion. Based on this, this paper takes a Chinese enterprise’s negative network public opinion as the research object. First, our research identifies the stakeholders involved in the dissemination process of public opinion information. Secondly, we model the decision-making behaviors of stakeholders in different stages to obtain the evolutionarily stable strategy. After that, the simulation experiment is conducted to analyze the key points of enterprise strategy adjustment in different stages of negative network public opinion dissemination. The experimental results show that: (1) In its formation stage, opinion leaders usually do not participate in the event, and thus enterprises need to focus on the active ordinary Internet users; (2) In its development stage, if an enterprise wants to reduce the loss caused by negative events, it needs to make use of online media to give corresponding positive guidance; (3) In its control stage, enterprises should take corresponding legal measures to netizens who make improper remarks on the Internet, increase the risk cost of these netizens group, and cooperate with the government’s control work to guide the negative public opinion to turn in a beneficial direction. Finally, the rationality and effectiveness of the proposed model are verified using a practical case.
Applications of Markov Decision Process Model and Deep Learning in Quantitative Portfolio Management during the COVID-19 Pandemic
Authors: Yue Han , Liu Jiapeng , Zhang Qin
Published: September 2022

Whether for institutional investors or individual investors, there is an urgent need to explore autonomous models that can adapt to the non-stationary, low-signal-to-noise markets. This research aims to explore the two unique challenges in quantitative portfolio management: (1) the difficulty of representation and (2) the complexity of environments. In this research, we suggest a Markov decision process model-based deep reinforcement learning model including deep learning methods to perform strategy optimization, called SwanTrader. To achieve better decisions of the portfolio-management process from two different perspectives, i.e., the temporal patterns analysis and robustness information capture based on market observations, we suggest an optimal deep learning network in our model that incorporates a stacked sparse denoising autoencoder (SSDAE) and a long–short-term-memory-based autoencoder (LSTM-AE). The findings in times of COVID-19 show that the suggested model using two deep learning models gives better results with an alluring performance profile in comparison with four standard machine learning models and two state-of-the-art reinforcement learning models in terms of Sharpe ratio, Calmar ratio, and beta and alpha values. Furthermore, we analyzed which deep learning models and reward functions were most effective in optimizing the agent’s management decisions. The results of our suggested model for investors can assist in reducing the risk of investment loss as well as help them to make sound decisions.
El equilibrio reflexivo en la utopía socialista de Edward Bellamy
Authors: Lizarraga Fernando Alberto
Published: September 2022

El equilibro reflexivo ideado por John Rawls ha sido utilizado con frecuencia en la investigación ética a partir de textos literarios. En este trabajo ponemos a prueba el método rawlsiano en la lectura de la utopía socialista de Edward Bellamy, expresada en Looking Backward 2000-1887 (1888) e Equality (1897), sin desconocer la existencia de enfoques alternativos como el equilibrio perceptivo. En primer lugar, mostramos la operación del equilibrio estrecho y del equilibrio amplio en el itinerario del protagonista: Julian West. Segundo, tras presentar el mecanismo rawlsiano para el desarrollo institucional, examinamos cómo en la etapa judicial –ejemplificada por la escena del juicio en El Mercader de Venecia– se verifican las tres formas del equilibro reflexivo. Por último, analizamos cómo Bellamy emplea esta misma escena para ilustrar los principios básicos de la sociedad igualitaria y su correspondencia con las formas de equilibrio reflexivo.
Distúrbios da linguagem em pacientes após AVC: uma revisão sistemática
Authors: VY Rosendo Beatriz , Faustino Gonçalves Laura , De Paiva Karina Mary , Haas Patricia
Published: September 2022

Objetivo. Verificar alterações de linguagem em pacientes adultos e idosos com diagnóstico de Acidente Vascular Cerebral (AVC).  Método. Os artigos foram pesquisados ​​nas bases de dados SciELO, LILACS, PubMed, Scopus, BIREME e Web of Science, sem restrição de local, período ou idioma de publicação, foram selecionados com combinações baseadas em Medical Subject Headings (MeSH). Resultados. Dois estudos com pontuação ≥6 pontos no protocolo qualitativo proposto por Pithon et al. foram incluídos na pesquisa. Pacientes com afasia e disartria combinadas, comparados com pacientes sem alterações de linguagem apresentaram inicialmente habilidades funcionais inferiores, embora com potencial significativo de recuperação funcional nas atividades de vida diária. Conclusão. As dificuldades de comunicação decorrentes dos distúrbios de linguagem pós-AVC são responsáveis ​​por afetar os pacientes, principalmente no que se refere ao compromisso social, humor, atividades da vida diária e qualidade de vida.
Response to Global Warming of Eichwald's Toad,Bufo eichwaldiLitvinchuk, Borkin, Skorinov and Rosanov, 2008 (Anura; Amphibia) in Iran and Azerbaijan
Authors: Yousefkhani Seyyed Saeed Hosseinian , Yasser Amaal , Naser Murtada , Yousefabadi Fariba , Gasimova Gulbaniz
Published: September 2022

Global warming is considered to be a major threat to biodiversity and to have an erosive effect on the survival of endangered species. Amphibians are known as a vulnerable group of vertebrates that live and reproduce in both terrestrial and aquatic habitats. The subtropical regions of the world are among the land areas where amphibians will suffer the most from climate change. In the present study, the effect of climate change onBufo eichwaldiinhabiting Hyrcanian forests was investigated. According to our results, the lowest temperature in the coldest season is the most important variable for the presence of this species. Due to the beginning of reproductive activity and mating taking place in late January until the end of February, this variable will have a direct effect on the rate of breeding and thus on the conservation of this species, because the species can find a new suitable area outside of high humanisation and increase its chance of successful breeding. Of course, climate change will cause the average annual temperature to rise by 2070, and this will favour the early onset of reproduction. Therefore, according to the analysis and scenarios considered in this study, global warming cannot have a negative effect on the toad species. However, a careful assessment of the status of other competing species in conjunction with the Talysh toad could provide a better explanation of the impact of climate change.
Yorùbá Character Recognition System Using Convolutional Recurrent Neural Network
Authors: AJAO Jumoke , YUSUFF Shakirat , AJAO Abdulazeez
Published: September 2022

Handwritten recognition systems enable automatic recognition of human handwritings, thereby increasing human-computer interaction. Despite enormous efforts in handwritten recognition, little progress has been made due to the variability of human handwriting, which presents numerous difficulties for machines to recognize. It was discovered that while tremendous progress has been made in handwritten recognition of English and Arabic languages, very little work has been done on Yorùbá handwritten characters. Those few works, in turn, made use of Hidden Markov Model (HMM), Support Vector Machine (SVM), Bayes theorem, and decision tree algorithms. To integrate and save one of Nigeria's indigenous languages from extinction, as well as to make Yorùbá documents accessible and available in the digital world, this research work was undertaken. The research presents a convolutional recurrent neural network (CRNN) for the recognition of Yorùbá handwritten characters. Data were collected from students of Kwara State University who were literate Yorùbá writers. The collected data were subjected to some level of preprocessing such as grayscale, binarization, and normalization in order to remove perturbations introduced during the digitization process. The convolutional recurrent neural network model was trained using the preprocessed images. The evaluation was conducted using the acquired Yorùbá characters, 87.5% of the acquired images were used for the training while 12.5% were used to evaluate the developed system. As there is currently no publicly available database of Yorùbá characters for validating Yorùbá recognition systems. The resulting recognition accuracy was 87.2% while the characters with under dot and diacritic signs has low recognition accuracy.
Labot in Dual Spaces and Land Conflict in Post-Conflict Northern Uganda: A Gender Discourse Analysis
Authors: Atwagala Donnah S.
Published: September 2022

This paper seeks to discuss the dual spaces which labot1occupy within the post-war land-conflict setting in Amuru District. From a gendered perspective, this is a critical discussion contesting the dominant discourse that represents women as occupying the dual spaces. This perspective has been accepted by society and women have been supported accordingly. However, labot in these same dual spaces have not been embraced in the same way. Analyses of the narratives and lived experiences of labot challenge the notion that men are less affected than women by land conflicts in post-war areas. Three themes emerged from the narratives: woman as security for land, labot and land conflict, and social navigation to reclaim land. This paper interacts with feminist discourse that tries to explain the relationships and interactions of women within the feminine master-narrative in relation to ownership, access and control over resources. Therefore, the paper argues that labot have crossed into the private space as well and taken on the character of dual spaces.
Employability and Professional Profile by Skills in a Period of Changes in the Labor Market
Authors: Flores Dr. María Isabel Núñez , Villacorta Dr. Yolanda Ramírez , Espinosa Dr. Cynthia Lizette Hurtado
Published: September 2022

The study set out to analyze the relationship between the professional profile by skills and employability in the face of the changes generated in the labor market in the period of the COVID-19 Pandemic, these connected variables structure a perspective of the educational reality and expectations in development and the country's economy. The sample consisted of the students of the X cycle of the Faculty of Education of a public university. A descriptive analytical design was applied through a survey and a checklist. The data was processed with SPSS software. The knowledge of this problem is provided by the application of the skills to the professional profile, the possibilities of labor insertion based on the demands of the labor market, with a comprehensive vision and contextualization of its elements.
Conclusions: There is a relationship between the professional profile by skills and employability. Students do not clearly define the professional profile by skills and its relationship with employment; however, they have clear roles in research, management and evaluation, and TIC. The most defined are the expectations about the professional title.
Smart Agronomy of Wheat Cultivation in Riverbed of Betawa through Natural and Organic Farming under Changing Climate
Authors: Singh R. A. , Singh M. K. , Jaiswal V. B. , Singh Jitendra , Singh I. P.
Published: September 2022

The present innovative and introductive experiment was laid out during two consecutive rabi seasons of 2009-10 and 2010-11 under “Farmers Participatory Action Research Project on Water/Water Harvesting” (Scheme funded by Central Water Commission, New Delhi). Since, the extensive farming almost closed up because all cultivable land saturated under cultivation of crops and other agricultural enterprises. During the visit of Bundelk hand region of U.P. for scheme work, the riverbed open after water receding of Betawa river was seen. The open riverbed was found suitable for cultivation of winter season crops. Riverbed was suffered from the nodulation of rocks (Maurang), but siltation was fertile. Therefore, the site was selected for cultivation of wheat because it has better nutrients status. The riverbed soil was fertilized with organic manure i.e., FYM @ 200 q/ha, vermi cost + vermi-eggs@10 q/ha and mustard cake @ 5 q/ha for major and minor plant nutrients and loosened the riverbed soil. Wheat cv. WH-147 was planted on 15 November and harvested 20 March after 125 days of planting in both experimental seasons.
Mobilität und Segregation in Raum und Zeit:
Authors: Hölzel David , Scheiner Joachim
Published: September 2022

Im Kontext sozialer Teilhabe ist Segregation ein bedeutsames Thema der Stadtentwicklung. Mobilität und Verkehr sind hier insofern relevant, als sich Bevölkerungsgruppen nicht nur hinsichtlich ihrer Wohnstandorte ungleich im städtischen Raum verteilen. Vielmehr existieren auch gruppenspezifische Unterschiede in der Wahl von Aktivitätsorten und Verkehrsmitteln. In Verbindung mit zeitlichen Variationen entstehen unterschiedliche Expositionen gegenüber gesundheitlichen sowie sozialen Chancen bzw. Risiken. Der Beitrag formuliert hierzu offene Forschungsfragen.
Alles anders und doch gleich – Fragile Alltagsmobilität sozial benachteiligter BewohnerInnen ländlicher Peripherien vor und während der Covid-Pandemie
Authors: Van Dülmen Christoph
Published: September 2022

Der Beitrag fragt, inwiefern sich die Alltagsmobilität sozial benachteiligter BewohnerInnen ländlicher Peripherien im Zuge der Covid-Pandemie verändert hat. Hierzu werden GPS-Bewegungsdaten von fünf Befragten vor und während der Pandemie sowie darauf aufbauende qualitative Interviews verglichen. Obwohl Veränderungen der Bewegungsmuster beobachtbar sind, entstammen diese zumeist nicht den pandemischen Umständen. Vielmehr zeigen sich individuelle Ressourcenausstattungen sowie die Zusammensetzung sozialer Netzwerke als zentrale Einflussfaktoren.
CLÁUSULAS PÉTREAS: LIMITAÇÕES AO PODER DE TRIBUTAR
Authors: Ferreira Saraiva Carmen , Saraiva de Alencar Ingrid
Published: September 2022

We seek to examine the constitutional criteria applicable to the power to tax and its limitations to the creation of taxes as stone clauses. Therefore, we use the bibliographical research through the deductive and comparative method based on the doctrine of Ricardo Lobo Torres. The Brazilian tax system is eminently constitutional with the establishment of competence between federal entities for the creation of taxes. The limitations to the State power to tax were raised to stone clauses, in which it is forbidden the legislative deliberation to revoke them, among which are the legality the irretroactivity the anteriority, the ability to pay, the prohibition to confiscation, tax secrecy, freedom of traffic, tax transparency, simplified, differentiated and favored tax treatment for micro and small enterprises and tax immunities. The fundamental tax principles provide the construction of legal relations with security and predictability.
Cenas de sala de aula de leitura: reflexões sobre as contribuições da psicolinguística e da linguística textual
Authors: De Oliveira Ferreira Edna Maria
Published: September 2022

A exposição a textos multimodais (ou não), incluindo os presentes nos mais diversos suportes tecnológicos a que estamos submersos com o acesso à internet, tem exigido cada vez mais a proficiência leitora. Entretanto, tornou-se pauta nas discussões entre professores, em todos os segmentos de ensino, a dificuldade de compreensão apresentada pelos alunos. Há críticas de que após a alfabetização inicial há menos preocupação criteriosa com o aprendizado de leitura por parte da escola: a atenção se volta bem mais à escrita. Assim, a leitura assume papel secundário, como se ocorresse naturalmente, após exposição a textos distintos, sob as várias orientações didáticopedagógicas. Mas sabe-se que a psicolinguística e a linguística textual (LT) têm contribuições a dar, desde o cuidado na seleção do texto em relação ao nível de cognição e interesse do aprendiz, até outros aspectos relevantes, como: exploração do léxico, incentivo ao uso de estratégias para a compreensão de implícitos e criação de espaço para a contrapalavra do aluno. Este artigo analisa a mediação pedagógica, em momento de correção de exercícios, em duas posturas didáticas diametralmente opostas, sob a ótica das teorias levantadas nesta pesquisa bibliográfica sobre psicolinguística e LT, para identificar concepções sobre linguagem, leitura e ensino de leitura, subjacentes a essas práticas e a interferência delas na ação didática do professor e na participação ativa do aluno na construção dos sentidos do texto. Essas duas posturas foram selecionadas, propositadamente, dentro de um leque maior de possibilidades, pois há a pretensão de provocar no leitor deste artigo reflexões sobre a importância da práxis no ensino de leitura e da formação contínua do professor, com vistas a promover um ensino de leitura que redunde na proficiência leitora. Assim, os saberes produzidos por Koch (1997), Marcuschi (2008), Geraldi (2010) e Ciapuscio (2003), entre outros, respaldarão a argumentação.
Optimización de costos de transporte para el aprovechamiento energético de la biomasa
Authors: Tauro Raúl , Santibañez-Aguilar José Ezequiel , Rangel Heras Roberto , Álvarez Galán Oscar Antonio , Caballero José Luis , Odenthal Jorge , Arroyo José Manuel , Velázquez Martí Borja , Ghilardi Adrián
Published: September 2022

El aprovechamiento de la biomasa con fines energéticos es una alternativa atractiva para reducir la dependencia de los combustibles fósiles y su impacto ambiental. En este sentido, la ubicación geográfica de los sitios de producción y consumo de biomasa, su logística, así como la planificación de la cadena productiva, son factores indispensables para la evaluación y puesta en marcha de proyectos biomásicos con fines energéticos. Aunque diversos estudios han abordado estos problemas de forma separada, son pocos los trabajos que integran todos estos aspectos. En este trabajo se describe la integración de una serie de análisis espaciales, con un modelo matemático para la optimización de costos de transporte entre diferentes nodos de la cadena productiva de la biomasa. Mediante un caso de estudio y el análisis de diferentes escenarios de oferta y demanda, se evalúa el funcionamiento del módulo de optimización. Los resultados obtenidos permiten estimar de manera óptima la distribución de biomasa desde diferentes centros de oferta (nodos de almacenamiento), hacia diferentes usuarios (nodos de demanda), tomando al costo de transporte como función objetivo. La distribución óptima de biomasa permite planificar su uso para diferentes regiones de interés a nivel nacional.
Estado de la medición de los indicadores geográficos de los Objetivos de Desarrollo Sostenible en Uruguay
Authors: Casanova Rosario , Acuña Agustin , Teperino Paula
Published: September 2022

La investigación objeto de este artículo se enmarca en un curso de investigación brindado para las carreras universitarias de Ingeniero agrimensor y de Tecnólogo en cartografía de la Universidad de la República, Uruguay. El objetivo de la investigación era incursionar sobre la medición de los Objetivos de Desarrollo Sostenible (ODS) en Uruguay; en particular, se plantea analizar los indicadores con componente geográfico.Para dar cumplimiento a esta propuesta, ha sido necesario realizar una comprensión y análisis detallado de los indicadores con componente espacial y sus correspondientes guías metodológicas internacionales propuestas por la Organización de las Naciones Unidas (ONU). Complementariamente, se realiza un abordaje nacional sobre los ODS, identificando las instituciones responsables y vinculadas, para con ello, realizar un análisis comparativo entre la propuesta de dichas guías y la metodología empleada en nuestro país. Particularmente, se realizó la medición de algunos indicadores geográficos para una región del país.Esta propuesta pedagógica ha permitido visualizar el posicionamiento de Uruguay frente a la medición de dichos indicadores mediante los resultados obtenidos, así como por los debates e intercambio de opiniones entre los estudiantes y docentes a cargo con base en la revisión de literatura, análisis crítico, aplicación de procedimientos y lecciones aprendidas a lo largo del curso.