bluuebunny/crossref_metadata_2025 huggingface dataset:
Conformité d’un jugement étranger de divorce à l’ordre public international de fond et de procédure
Authors: Usunier Laurence
Published: March 2022

L’exercice par un plaideur des voies de recours ouvertes contre une décision rendue par un juge étranger dont il invoque le défaut d’impartialité, lui ayant permis de faire entendre sa cause devant une autre juridiction dont l’impartialité n’était pas discutée, est de nature à exclure toute atteinte à ses droits et toute violation de l’ordre public international de procédure. Une décision rendue par une juridiction étrangère qui, par application de sa loi nationale, refuse de donner effet à un contrat de mariage reçu en France, n’est pas en soi contraire à l’ordre public international français de fond et ne peut être écartée que si elle consacre de manière concrète, au cas d’espèce, une situation incompatible avec les principes du droit français considérés comme essentiels. Si le principe d’égalité des parents dans l’exercice de l’autorité parentale relève de l’ordre public international français, la circonstance qu’une décision étrangère réserve à l’un des parents le soin de prendre seul certaines décisions relatives aux enfants, ne peut constituer un motif de non-reconnaissance qu’autant qu’elle heurte de manière concrète les principes essentiels du droit français.
Du caractère mobilier de l’action en réduction d’une donation immobilière
Authors: Fongaro Éric
Published: March 2022

L’action en réduction exercée par les héritiers réservataires contre le donataire d’un immeuble, qui ne tend pas à la restitution en nature de l’immeuble mais au paiement d’une indemnité de réduction et présente, dès lors, un caractère mobilier, relève de la compétence des tribunaux du pays où le défunt avait son dernier domicile.
La Convention de La Haye de 1996 au service de la protection des mineurs marocains non accompagnés ?
Authors: Corneloup Sabine , Jault-Seseke Fabienne
Published: March 2022

À propos d’une circulaire ministérielle relative au schéma de procédure pour la prise en charge de mineurs non accompagnés marocains (Circulaire du 8 février 2021, n o  NOR : JUSF2104189C, n o  CIRC : CIV/01/21, avec, en annexe, le schéma de procédure relatif à la prise en charge des mineurs non accompagnés marocains, le questionnaire d’évaluation sociale et le formulaire de demande d’entraide civile)
Corporate social responsibility and the readability of listed firms’ compensation discussion and analysis
Authors: Ben Amar Walid , Ebondo Wa Mandzila Eustache , McIlkenny Philip
Published: March 2022

Cette recherche examine la relation entre la responsabilité sociale des entreprises (RSE) et la complexité des informations qu’elles fournissent relativement la rémunération de leurs dirigeants. En nous basant sur les prédictions de la théorie des parties prenantes, nous nous attendons à ce que les entreprises soucieuses de la RSE adhèrent à des normes éthiques élevées et communiquent des informations plus transparentes et faciles à lire sur la rémunération des dirigeants. Basés sur un échantillon de 196 sociétés inscrites à la Bourse de Toronto, nos résultats montrent une association positive entre la mise en œuvre de pratiques de RSE et la lisibilité des informations textuelles présentées dans le rapport d’analyse et discussion de la rémunération. Parmi les trois composantes du score total de la RSE, le score de gouvernance présente une relation négative avec la complexité linguistique des rapports de rémunération, ce qui suggère que les entreprises mieux gouvernées communiquent des informations plus lisibles sur leurs pratiques en matière de rémunération des dirigeants.
Quelles régularités pour les chaînes de référence dans le genre « nouvelles d’actualité » ? Exploration contrastive allemand / anglais / français
Authors: Baumer Emmanuel , Dias Dominique , Gardelle Laure , Prak-Derrington Emmanuelle
Published: March 2022

Les travaux sur les chaînes de référence suggèrent une influence du genre discursif, mais elle est encore mal connue, et on observe une grande diversité au-delà des tendances générales. Le présent article cherche donc à poursuivre ces recherches, en s’intéressant au genre « nouvelles d’actualité ». Si on réduit les facteurs de variation au sein de ce genre, note-t-on de fortes régularités ? L’angle contrastif est important, pour identifier des récurrences propres à une langue. L’étude s’appuie sur 48 articles qui traitent tous d’un référent que le titre présente comme thème d’une prédication ; notre analyse étudie la chaîne de ce référent. Nous retenons deux paramètres de variation « contrôlés » : l’opposition humain / inanimé et l’opposition entre référents à nom propre et référents sans nom propre. L’étude montre dans un premier temps qu’au-delà de quelques données moyennes convergentes, l’hétérogénéité des chaînes de référence demeure. Elle est cependant, au moins pour une grande part, triplement motivée : par une contrainte générique, par le poids symbolique du référent dans la société, et par une tendance anthropocentrique plus générale chez les humains (Hiérarchie d’Animation). Nous proposons à cette occasion une modeste contribution aux questions d’identification des référents topicaux. Enfin, nous montrons des différences notables de pratiques rédactionnelles entre l’anglais et les deux autres langues.
Maillons forts et maillons faibles d’une chaîne de coréférence : une proposition de typologie issue d’une étude contrastive français-hongrois
Authors: Gécseg Zsuzsanna , Landragin Frédéric , Fagard Benjamin
Published: March 2022

Servant à rassembler dans une même structure l’ensemble des marqueurs linguistiques désignant un référent du discours particulier, une chaîne de coréférence peut être vue comme contenant deux types de maillons : les expressions référentielles, qui sont les « maillons forts » dans le sens qu’elles servent à accéder au référent, et les autres moyens dont chaque langue dispose pour rappeler l’existence de ce même référent, que l’on nomme « maillons faibles ». En comparant un ensemble de phénomènes référentiels en français et en hongrois, cet article vise à interroger et à étayer cette distinction entre maillons forts et faibles. Les ambiguïtés référentielles que l’on trouve dans les deux langues ont fait l’objet d’une étude pilote, dont nous rapportons ici les résultats, qui nous permettent de bien identifier les facteurs syntaxiques, sémantiques, discursifs et pragmatiques qui sont en jeu.
Lyapunov exponents for random maps
Authors: Nakamura Fumihiko , Nakano Yushi , Toyokawa Hisayoshi
Published: March 2022

It has been recently realized that for abundant dynamical systems on a compact manifold, the set of points for which Lyapunov exponents fail to exist, called the Lyapunov irregular set, has positive Lebesgue measure. In the present paper, we show that under any physical noise, the Lyapunov irregular set has zero Lebesgue measure and the number of such Lyapunov exponents is finite. This result is a Lyapunov exponent version of Araújo's theorem on the existence and finitude of time averages. Furthermore, we numerically compute the Lyapunov exponents for a surface flow with an attracting heteroclinic connection, which enjoys the Lyapunov irregular set of positive Lebesgue measure, under a physical noise. This paper also contains the proof of the disappearance of Lyapunov irregular behavior on a positive Lebesgue measure set for a surface flow with an attracting homoclinic/heteroclinic connection under a non-physical noise.
An analytical approximation formula for European option prices under a liquidity-adjusted non-affine stochastic volatility model
Authors: Huang Shoude , He Xin-Jiang
Published: March 2022

In this paper, we investigate the pricing of European options under a liquidity-adjusted non-affine stochastic volatility model. An analytical European option pricing formula is successfully derived with the COS method, based on an approximation for the characteristic function of the underlying log-asset price. Numerical analysis reveals that our results are very efficient and of reasonable accuracy, and we also present some sensitivity analysis to demonstrate the effects of different parameters on option prices.
A patchy model for tick population dynamics with patch-specific developmental delays
Authors: Tosato Marco , Zhang Xue , Wu Jianhong
Published: March 2022

Tick infestation and tick-borne disease spread in a region of multiple adjacent patches with different environmental conditions depend heavily on the host mobility and patch-specific suitability for tick growth. Here we introduce a two-patch model where environmental conditions differ in patches and yield different tick developmental delays, and where feeding adult ticks can be dispersed by the movement of larger mammal hosts. We obtain a coupled system of four delay differential equations with two delays, and we examine how the dynamical behaviours depend on patch-specific basic reproduction numbers and host mobility by using singular perturbation analyses and monotone dynamical systems theory. Our theoretical results and numerical simulations provide useful insights for tick population control strategies.
Efecto de la altura de culmo y presencia de nudos en las propiedades mecánicas del bambú Otatea fimbriata sondesrt, especie nativa del sur de México
Authors: Muciño-Vélez Alberto , Zeth López-Calvo Herwing , Guillén-Guillén Cesar Armando , Alonso-Guzmán Elia Mercedes , Llaven-José Héctor Daniel
Published: March 2022

La especie de bambú Otatea fimbriata Sonderst es endémica de la región de Suchiapa Chiapas, México y se propone como recurso constructivo de vivienda rural. Con el fin de determinar el efecto de la altura y presencia de nudos en el culmo en sus propiedades mecánicas, se prepararon 180 especímenes de bambú considerando las secciones inferior, media y superior del culmo, con y sin nudos. Los especímenes fueron evaluados mediante pruebas de compresión paralela a la fibra, resistencia a la flexión y tensión bajo normas estandarizadas. Los resultados revelaron la existencia de una variabilidad no significativa en las características mecánicas del culmo con respecto a su altura; además, no se evidenció un efecto significativo en sus propiedades de compresión y tensión por la presencia de nudos, excepto en la resistencia a la flexión. Finalmente, los resultados demostraron que la especie de bambú Otatea F. S., cumple con propiedades mecánicas similares o superiores a las de otras especies de bambú típicamente utilizadas en la construcción al obtener en compresión 49.6 MPa y en tensión 110 MPa, comparando a lo reportado en Guadua angustifolia: 108 MPa en tensión, 43.6 MPa en compresión. Los resultados de flexión son de 58.47 MPa lo que resultó debajo de lo reportado en G. angustifolia, no obstante, el espesor de pared de la Otatea F. S. es de 8.6 mm mientras que la G. angustifolia llega hasta 40 mm de espesor de pared. Se concluye que la Otatea F. S. tiene potencial para su aprovechamiento en la conformación de elementos constructivos.
¿Por qué el efecto del árido de hormigón reciclado en la resistencia a compresión del hormigón autocompactante no es homogéneo? Una revisión bibliográfica
Authors: Revilla-Cuesta Víctor , Ortega-López Vanesa , Skaf Marta , Fiol Francisco , Manso Juan Manuel
Published: March 2022

La presente revisión bibliográfica profundiza en cómo las características del Árido de Hormigón Reciclado (AHR) afectan al comportamiento resistente del Hormigón AutoCompactante (HAC) y cómo el efecto esperado del AHR puede alterarse por cambios en la composición del HAC. Se demuestra que, si la trabajabilidad del HAC se mantiene constante, la resistencia a compresión disminuye linealmente con el contenido de AHR, aunque este descenso será menor si el AHR procede del machaqueo de un hormigón de mayor resistencia. La disminución de la relación agua/cemento permite compensar esta pérdida de resistencia, aunque su valor debe permitir también mantener una adecuada trabajabilidad del HAC. La absorción de agua del AHR y su interacción con otros compontes incrementan la variabilidad del efecto del AHR. Debido a la gran cantidad de factores implicados en este comportamiento, es recomendable un estudio experimental del AHR y del HAC producido con él antes de su utilización.
Note à propos du manuscrit de Batouala, véritable roman nègre, de René Maran, découvert au musée-bibliothèque The Rosenbach de Philadelphie
Authors: Scheel Charles W.
Published: March 2022

Quelques mois à peine après l’année du centenaire de « Batouala - Prix Goncourt 1921 », un échange de lettres entre René Maran et Alain Locke, datant de 1929 et conservées dans les archives de l’Université Howard de Washington, a permis de découvrir l’existence d’un second manuscrit du premier roman publié de l’écrivain, ainsi que d’un second tapuscrit de sa préface, au musée-bibliothèque The Rosenbach de Philadelphie. On donne ici quelques éléments sur les tribulations de ces documents et sur leur impact prévisible sur l’annotation génétique d’une nouvelle édition du roman en cours.
Til árs ok friðar : Le roi et le bonheur du peuple dans la Scandinavie médiévale
Authors: Lebouteiller Simon
Published: March 2022

Dans les sources scandinaves des XIIᵉ et XIIIᵉ siècles, l’influence d’un souverain sur la prospérité est un thème fréquemment employé pour caractériser un règne. De manière schématique, un roi considéré comme juste et légitime a un effet bénéfique sur l’ordre cosmologique, le temps et les récoltes, tandis qu’un souverain jugé négativement apporte désordre, pénuries et calamités. Ce motif venait renforcer divers critères permettant d’évaluer la capacité du souverain à apporter le bonheur à ses sujets. Dans cet article, nous replaçons cette question dans le temps long et examinons comment le rôle du roi dans l’instauration de la prospérité a évolué durant la période médiévale. Les débats historiographiques ont d’abord associé ces attributs aux croyances païennes les plus anciennes. Mais la christianisation de la région ne paraît pas avoir provoqué une disparition de ces idées et a davantage amené à leur actualisation dans le nouveau contexte religieux. Nous mettons de la sorte en évidence les procédés d’adaptation auxquels ces représentations ont été soumises, ainsi que les mutations des structures et des idéologies politiques qui les accompagnent à l’époque médiévale.
Low-Cost Internet of Things Platform for Epilepsy Monitoring Using Real-Time Electroencephalogram
Authors: Sharma Manoj Kumar , Kaiser M. Shamim , Ray Kanad
Published: March 2022

This work is focusing to develop a portable, low-cost remote diagnostic system for developing countries where the current state of health is not in the advanced stage. People with diseases like epilepsy, Alzheimer’s, an extreme turmeric state, or a disorder that makes it difficult to move have been observed. The authors propose a cost-effective remote neurology assessment health care system. To predict epilepsy form electroencephalogram (EEG) signals in real-time. The authors implemented the machine learning model that has been deployed in the raspberry pi micro-controller. The feature extraction stage was carried out in Matlab. The extracted features from the EEG signals were transferred wirelessly to the model deployed in pi raspberry to clearly predict epilepsy and normality cases. The results of the real-time prediction of the trained and deployed model were provided for the remote diagnosis system. The data visualizations can be done on Android/IOS and Matlab desktop.
Assessing the Degree of Women's Participation in the Logistics and Transport Industry in Namibia
Authors: Amushila Roswindis , Semente Efigenia Madalena Mario
Published: March 2022

The purpose of this study was to establish the extent to which women participate in the logistics and transport industry in Namibia. A mixed research method was adopted, and data was collected from a sample of 70 research participants from 14 logistics and transport companies operating in Windhoek. Convenience sampling was used to select these 14 logistics and transport companies while purposive sampling was used to select the 70 employees who participated in this. This study has established that the logistics and transport industry in Namibia is male dominated. The degree of female participation in this industry is very low since female employees are said to constitute only 31% of the total workforce in the industry. Female employees occupying technical roles in the selected logistics and transport companies in Windhoek is less than 15% on average. The study recommends that families should encourage and support their girls to pursue careers in areas, which have been regarded as
Effective Culture Theories and Strategies for Project Management Environments
Authors: Galli Brian J.
Published: March 2022

A project plays a great role in basic, social, and economic life, and its success or failure determines the development speed and overall strength of a country, a region, or enterprise. In lieu of the rapidly changing market environment and the continuous improvement of user demand, enterprises should constantly adapt and adjust. Enterprises must give full play to the value of people, but the most effective way to tackle the constantly changing environment is by frequently updating the management ideology, particularly within project management. When the corporate culture construction project carries out various tasks, many problems can appear to affect the implementation of the project. Additionally, the author takes a systematic literature approach to study pre-existing literature on the current variables, concepts, and models in acquired skill and management strategies and how they work in project management. Overall, the author provides some implications and applications for project management, engineering management, and for the current digital and Internet environments.
How Do Dairy Farmers Communicate With the Government?
Authors: Vázquez-López Alba , Barrasa-Rioja Martín , Marey-Perez Manuel
Published: March 2022

With the aim of assessing the farmers’ situation in terms of the use of ICT (Information and Communication Technologies) and their relationship with the e-government (electronic government), a case study consisting of 34 face-to-face surveys between February and March 2020 in dairy farms in the region of Galicia (Spain) was conducted. From the census, we chose those farms considered most representative taking into account the following criteria: the level of CAP (Common Agricultural Policy) and the production of milk (litres / cow and year). The results show that, in spite of the fact that a vast majority of the users use the web tools of the Public Administration, there are many users who find problems related to the agility and ease of use of these tools, especially when compared with private APPs which they also use daily in connection to their farms. Our research delves into those farmers who do not use the internet and the alternative methods which they employ. The telephone helpline is particularly important, as it is the favourite method of smaller farms.
Effect of Carbonization of Orange Peel Particulate-Reinforced Polymer Composites
Authors: Naik Prajapati , Pradhan Smitirupa , Acharya Samir Kumar , Sahoo Prasanta
Published: March 2022

Carbon black is the most promising filler material in polymer industries for fabrication of composite materials because of its unique properties and strength. In the present study, carbon black particles are developed from orange peel particulates (OPP) by pyrolysis approach at different carbonization temperatures (400oC, 600oC and 800oC). The raw and carbon black OPP materials are used as reinforcement to fabricate epoxy composites that are evaluated for mechanical and morphological properties following ASTM standard. Proximate analysis reveals that the amount of carbon content increases significantly (up to 74.42 % at 800°C) due to the carbonization. Tensile and flexural strength increase with increasing carbonization temperature and maximum value is observed in case of 800°C. SEM observations indicate good interfacial bonding between filler and matrix materials. Weight of the composite is reduced due to carbonization of raw material. TGA study of carbon black material reveals that the thermal stability increases with increase in carbonization temperature.
Microsrtructural and Mechanical Characterization of HVOF-Sprayed Ni-Based Alloy Coating
Authors: K Sunitha , Vasudev Hitesh
Published: March 2022

The various engineering components works under aggressive environments include the furnace parts, sliding parts in lathe machine and exhaust manifolds. Cast iron is used in these applications and important intention of this research work is to study on enhance the useful period of life.HVOF (High Velocity Oxy-fuel) sprayed Alloy-718coatings on cast iron were analysed. Coatings were characterised by field emission scanning electron microscopy (FE-SEM), Optical microscope (OM) and X-ray diffraction for its microstructural analysis. Energy dispersive spectroscopy (EDS) of the bare and coated samples was used to confirm the elemental details of the powder and the coating. Porosity measurements were taken and showed the 1.6% for Alloy-718 coating. Microhardness investigation was conducted for the Alloy-718 coating, and it was resulted as 560±20 HV. The bare material has hardness of 225±10, and there is a substantial difference of hardness found as 2.5 times higher. The fracture toughness was found to be 4.0 MPa.m1/2.
Chaotic Whale Crow Optimization Algorithm for Secure Routing in the IoT Environment
Authors: Raj Meghana Gopal , Pani Santosh Kumar
Published: March 2022

This paper solves the internet of things (IoT) security issues by introducing a chaotic whale crow (CWC) optimization, which is the integration of chaotic whale optimization algorithm (CWOA) in crow search algorithm (CSA). The framework operates on two crucial aspects: one is to select the secure nodes, and the other is to implement secure routing using the selected trusted nodes. First, the selection of trusted nodes is performed based on trust factors like direct, indirect, forwarding rate, integrity, and availability factors. Then, the selected trusted nodes are adapted for trust-based secure routing, which is optimally performed using the proposed CWC, based on the fitness parameters trust and energy. Finally, the proposed CWC is evaluated, which revealed high performance with a minimal delay of 191.46ms, which shows 14.87%, 7.35%, 6.82%, 4.19%, and 5.74% improved performance compared to existing LaSeR, PM Ipv6, secTrust-RPL RISA, and LSDAR techniques. Similarly, the proposed method obtained the maximal energy of 71.25J and maximal throughput of 129.77kbps.
An Improved Structural-Based Ontology Matching Approach Using Similarity Spreading
Authors: Mani Sengodan , Annadurai Samukutty
Published: March 2022

An increasing number of ontologies demand the interoperability between them in order to gain accurate information. The ontology heterogeneity also makes the interoperability process even more difficult. The existing ontology matching systems are mainly focusing on subject derivatives of the concern domain. Since ontologies are represented as data models in a structured format, in this paper, a new modified model of similarity spreading for ontology mapping is proposed. In this approach, the mapping mainly involves with node clustering based on edge affinity, and then the graph matching is achieved by applying coefficient similarity propagation. This process is carried out by iterative manner, and at the end, the similarity score is calculated for iteration. This model is evaluated in terms of precision, recall, and f-measure parameters, and it is found that it outperforms similar systems.
A Software Design Model for Integrating LMS and MOOCs
Authors: Rugube Talent T. , Chibaya Colin , Govender Desmond Wesley
Published: March 2022

Instructors often experience difficulties in selecting and sequencing relevant content for deployment into learning management systems. Human error and subjectivity is apparent. This study focuses on integrating learning management systems and massive open online courses with the goal of eliminating the human element in uploading content. As far as data sharing is concerned, learning management systems and massive open online courses have known weaknesses. The proposed integration aims to reach a tradeoff between the two systems. A requirements elicitation exercise was conducted towards identification of the component units of a hybrid system. The study utilized a mixed method approach to realize the foundation of the integrated design model. The findings, based on evaluation, showed that experts established completeness of the software design model. They, however, expressed the need for the designs to be extended towards accommodating artificial intelligence features. The proposed designs, thus, present a baseline framework upon which implementation considerations may be built on.
Day-Level Forecasting of COVID-19 Transmission in India Using Variants of Supervised LSTM Models
Authors: Ramanuja Elangovan , Santhiya C. , Padmavathi S.
Published: March 2022

The novel Corona virus SARS-CoV-2 has started with strange new pneumonia of unknown cause in Wuhan city, Hubei province of China. On March 11, 2020, the World Health Organization declared the COVID-19 outbreak as a pandemic. Due to this pandemic situation, the countries all over the world suffered from economic and psychological stress. To analyze the growth of this pandemic, this paper proposes a supervised LSTM model and its variants to predict the infectious cases in India using a publicly available dataset from John Hopkins University. Experimentation has been carried out using various models and window hyper-parameters to predict the infectious rate ahead of a week, 2 weeks, 3 weeks and a month. The prediction results infer that, every individual in India has to be safe at home and to follow the regulations provided by ICMR and the Indian Government to control and prevent others from this complicated epidemic.
Mental Risk Faced During Lockdown in COVID-19
Authors: Satapathy Suchismita
Published: March 2022

Indian Govt has taken broad step and declared lock down to reduce the community-transmission of the novel “Coronavirus”.Many people tried to utilize this period by doing online work and household work simulateneouly. Many small scale industries,shops ,agencies,school colleges shut their door following Govt rules and regulations to avoid spreading of virus.People working or engaged in these activities or duties became unemployed .As man is a social animal and feels safe and secured in society due to increase in distance from society from office space and due to financial crises , day by day negative thought impacts their mind and they are mental in stability or pressure . In this study, an attempt was made to prioritize the cause of mental pressure faced by common people. Such that precautionary measures can be taken for the public-health such that appropriate steps can be taken to protect their health from the transmission of this virus. By using the “Grey-technique for order of preference by similarity to ideal solution (Grey-TOPSIS)”method .
Influencing Factors of Enterprise Intelligent Manufacturing Based on the Three Stages of Intelligent Manufacturing Ecosystems
Authors: Ding Xuehong , Shi Li , Shi Mei , Liu Yuan
Published: March 2022

Intelligent manufacturing is an important method for transforming and upgrading enterprise intelligence. Studying the influencing factors of enterprises, intelligent manufacturing can help enterprises formulate more targeted intelligent manufacturing development strategies according to their own stage characteristics to accelerate the intelligent development. The concept of intelligent manufacturing ecosystem is proposed. By exploring the evolution process of intelligent manufacturing ecosystems, a three-stage theoretical model of influencing factors of intelligent manufacturing of enterprises is constructed. The theoretical model and related assumptions are verified using the empirical data of manufacturing enterprises of many provinces and cities in China. The results show that most factors in the digital stage, network stage, and intelligent stage significantly affect the development of enterprise intelligent manufacturing systems. This study provides theoretical reference and suggestions for manufacturing enterprises to develop intelligent manufacturing.
Evaluation of Teachers' Innovation and Entrepreneurship Ability in Universities Based on Artificial Neural Networks
Authors: Liu Xingfeng , Qin An
Published: March 2022

Based on iceberg theory and the questionnaire of competency's elements, hierarchical index system of evaluation of teachers' innovation and entrepreneurship competency in universities is established. Through researches, the authors think that analytic hierarchy process (AHP) is a more scientific and reasonable evaluation method whose rationality is checked by satisfactory consistency while the evaluation model of artificial neutral network doesn't consider weighting. If the samples are more than 30, the evaluation of neural network model of teachers' innovation and entrepreneurship competency can achieve the accurate results and satisfactory requirements. Since the method of artificial neutral network has advantages of strong operability, simple rules, and minor errors, it can greatly reduce the workload because it not only eliminates human subjectivity of evaluation and greatly simplifies the process of evaluation, but also improves working efficiency and provides a new way of thinking for evaluation of the teachers' innovation and entrepreneurship competency in universities.
Improved Segmentation of Cardiac MRI Using Efficient Pre-Processing Techniques
Authors: Joshi Nikita , Jain Sarika
Published: March 2022

Cardiac magnetic resonance imaging is a popular non-invasive technique used for assessing the cardiac performance. Automating the segmentation helps in increased diagnosis accuracy in considerably less time and effort. In this paper, a novel approach has been proposed to improve the automated segmentation process by increasing the accuracy of segmentation and laying focus on efficient pre-processing of the cardiac magnetic resonance (MR) image. The pre-processing module in the proposed method includes noise estimation and efficient denoising of images using discrete total variation-based non-local means method. Segmentation accuracy is evaluated using measures such as average perpendicular distance and dice similarity coefficient. The performance of all the segmentation techniques is improved. Further segmentation comparison has also been performed using other state-of-the art noise removal techniques for pre-processing, and it was observed that the proposed pre-processing technique outperformed other noise removal techniques in improving the segmentation accuracy.
Model-Based Test Sequence Generation and Prioritization Using Ant Colony Optimization
Authors: Nayak Gayatri , Ray Mitrabinda
Published: March 2022

The paper presents an approach to generate and optimize test sequences from the input UML activity diagram. For this, an algorithm is proposed called Unified Modelling Language for Test Sequence Generation (UMLTSG) that uses a search-based algorithm, named Test Sequence Prioritization using Ant Colony Optimization (TSP ACO) to generate and optimize test sequences. The algorithms overcome the existing limitations of handling complex decision-making activity such as conditional activity, fork activity, and join the activity. The optimization process helps to reduce the number of processing nodes that leads to minimizing the time and cost. The proposed approach experiments on a well-known application Railway Ticket Reservation System (RTRS). APFD metric measures the effectiveness of our approach and found that the prioritized order of test sequences achieved 20% higher APFD score. Apart from this, the authors have also experimented on six real life case studies and obtained an average of 52.16% reduction in redundant test paths.
Multi-Objective Big Data View Materialization Using Improved Strength Pareto Evolutionary Algorithm
Authors: Kumar Akshay , Vijay Kumar T. V.
Published: March 2022

Big data refers to the enormous heterogeneous data being produced at a brisk pace by a large number of diverse data generating sources. Since traditional data processing technologies are unable to process big data efficiently, big data is processed using newer distributed storage and processing frameworks. Big data view materialization is a technique to process big data queries efficiently on these distributed frameworks. It generates valuable information, which can be used to take timely decisions, especially in cases of disasters. As there are a very large number of big data views, it is not possible to materialize all of them. Therefore, a subset of big data views needs to be selected for materialization, which optimizes the query response time for a given set of workload queries with minimum overheads. This big data view materialization problem, having objectives minimization of the query evaluation cost of a set of workload queries, while simultaneously minimizing the update processing costs of the materialized views, has been addressed using improved strength pareto evolutionary algorithm (SPEA-2) in this paper. The proposed big data view selection algorithm, which is able to compute a set of diverse non-dominated big data views, is shown to perform better that existing big data view selection algorithms..
Performance Enhancement of Cloud Datacenters Through Replicated Database Server
Authors: Patra Sudhansu Shekhar , Goswami Veena
Published: March 2022

Cloud computing has risen as a new computing paradigm providing computing, resources for networking, and storage as a service across the network. Data replication is a phenomenon which brings the available and reliable data (e.g., maybe the databases) nearer to the consumers (e.g., cloud applications) to overcome the bottleneck and is becoming a suitable solution. In this paper, the authors study the performance characteristics of a replicated database in cloud computing data centres which improves QoS by reducing communication delays. They formulate a theoretical queueing model of the replicated system by considering the arrival process as Poisson distribution for both types of client request, such as read and write applications. They solve the proposed model with the help of the recursive method, and the relevant performance matrices are derived. The evaluated results from both the mathematical model and extensive simulations help to study the unveil performance and guide the cloud providers for modelling future data replication solutions.
Research on the Multi-Objective Optimization for Return Rate and Risk of Financial Resource Allocation
Authors: Wan Shuqi
Published: March 2022

Aiming at the problems existing in the optimal allocation of financial resources, this paper establishes an optimization model and calculates the optimal allocation coefficient. With the help of Markowitz's investment theory, two indicators, which are investment risk and return rate, are analyzed quantitatively. First, by analyzing the allocation efficiency and risk of financial resources, the allocation efficiency model is established, and the problem is decomposed into a finite 0-1 programming problem, which is solved by Hungarian Method. Secondly, considering the minimum allocation risk and the expected maximum return, the multi-objective model is solved by progressive optimal algorithm. The model reflects both unsatisfaction and risk avoidance which are the two characteristics of rational investment behavior. The analysis shows that the model has strong applicability and can be expected to improve the allocation efficiency of financial resources and reduce the allocation risk.
Gravimetric and Statistical Data Analysis of the Protection Performance of Aloe vulgaris and Nicotiana tabacum Leaf Extracts on 1070 Aluminum and Mild Steel
Authors: Loto Roland Tolulope , Loto Cleophas Akinloto , Israel Adefemi
Published: March 2022

The protection performance Aloe vulgaris (AV) and Nicotiana tabacum (NT) leaf extracts on 1070 aluminum (Al) were separately studied while the combined admixture of the extracts (AVNT) on mild steel (MS) was also studied in 3.5% NaCl solution by gravimetric analysis. Data output showed AV and NT effectively stifled the redox reaction process responsible for Al corrosion in NaCl with protection performance data above 98% throughout the exposure hours signifying strong resilience of the extract molecules withstanding the corrosive anions and thermodynamic stability with respect to exposure time. AVNT performed effective on mild steel at relatively lower efficiency, but with final values above 80% efficiency. Statistical data for standard deviation shows the degree of variation of protection performance data for AV, NT and AVNT extracts from mean value is minimal signifying consistent data value with respect to exposure time. Data also showed 100% of AV and NT protection performance data are above 98% efficiency value at +0% margin of error while 14.29% of AVNT protection performance data are above 95% efficiency at margin of error of +14.97%. Data from analysis of variance shows AV extract concentration and observation time strongly influences the performance out of AV at rated value of 42.06% and 29.41%. NT extract concentration solely dominated the performance output of NT at 95.37% while the performance of AVNT was independent of its concentration with values below threshold significance. However, AVNT performance varied significantly with observation time signifying progressive improvement in performance in over time.
Predicting Effective Parameters in Cyclic Behavior of Reinforced Masonry Walls with Shotcrete Using Artificial Neural Networks
Authors: Baghban Mohammad Hajmohammadian , Hashemi Seyed Amirhossein , Hashemi Elahe Sadat , Aghaei M.H
Published: March 2022

In Masonry buildings, walls are the main structural elements resistant to lateral loads. Reinforcing masonry walls by shotcreting one- or two-sides is one of the most common reinforcement methods. Considering the economic losses and casualties caused by damage to these elements in previous earthquakes, it is necessary to investigate the seismic behavior of these walls. The existing data can train artificial neural networks, and the behaviors could be generalized for future cases. In this study, the prediction of cyclic behavior parameters of reinforced masonry walls with one- and two-way shotcrete is investigated using different artificial neural network methods. Input parameters of the neural network include length, thickness, height, mortar shear strength, mortar compressive strength, mesh type, spring dimensions, rebar diameter, average thickness of shotcrete, and concrete compressive strength. Output parameters were the relative displacement of yield, relative displacement corresponding to maximum resistance, final relative displacement, yield strength, displacement resistance corresponding to maximum resistance, ultimate resistance, and initial stiffness. The results showed that the feed-forward back-propagation neural network could accurately predict the examined output parameters compared to other models, which can be considered as an alternative to some time-consuming and costly laboratory and analytical investigations.
Nexus between asymmetric information and stock market volatility: evidence from Sri Lanka
Authors: Hewamana H. M. R. R. , Siriwardhane D. R. J. , Rathnayake R. M. A. K.
Published: March 2022

This study examines the impact of asymmetric information behaviour and macroeconomic variability in modelling the stock market volatility. CSE market does not show the characteristics which may potentially lead to larger volatility shocks. The idiosyncratic volatility is more subjected to the irrational investment decisions with the absence of relevant market information. Therefore, the information asymmetries motivate investors to highly depend on irrational reasons which lead to irrational volatility shocks. The variance equation of the EGARCH model was applied for identifying the impact of the asymmetric information behaviour. The mean-variance equation of EGARCH has been modelled with GDP, inflation, interest rate, and money supply for recognizing macroeconomic impacts. The study finds that the CSE market was significantly experiencing asymmetric information problem. As a result, uninformed investors make their decision based on the market sentiment creating irrational price volatilities. The mean-variance equation shows that macroeconomic variability has a significant impact on explaining the future asymmetric conditional volatility. However, CSE volatility spends a few weeks to adjust the relevant macroeconomic shocks.
Postnatal development of thalamic reticular nucleus projections to the anterior thalamic nuclei in rats
Authors: Fujita Hitoshi , Imura Kosuke , Takiguchi Masahito , Funakoshi Kengo
Published: March 2022

The thalamic reticular nucleus (TRN) projects inhibitory signals to the thalamus, thereby controlling thalamocortical connections. Few studies have examined the development of TRN projections to the anterior thalamic nuclei with regard to axon course and the axon terminal distributions. In the present study, we used parvalbumin (PV) immunostaining to investigate inhibitory projections from the TRN to the thalamus in postnatal (P) 2- to 5-week-old rats (P14–35). The distribution of PV-positive (+) nerve fibers and nerve terminals markedly differed among the anterior thalamic nuclei at P14. Small, beaded nerve terminals were more distributed throughout the anterodorsal nucleus (AD) than in the anteroventral nucleus (AV) and anteromedial nucleus (AM). PV+ fibers traveling from the TRN to the AD were observed in the AV and AM. Nodular nerve terminals, spindle or en passant terminals, were identified on the axons passing through the AV and AM. At P21, axon bundles traveling without nodular terminals were observed, and nerve terminals were distributed throughout the AV and AM similar to the AD. At P28 and P35, the nerve terminals were evenly distributed throughout each nucleus. In addition, DiI tracer injections into the retrosplenial cortex revealed retrogradely-labeled projection neurons in the 3 nuclei at P14. At P14, the AD received abundant projections from the TRN and then projected to the retrosplenial cortex. The AV and AM seem to receive projections with distinct nodular nerve terminals from the TRN and project to the retrosplenial cortex. The projections from TRN to the AV and AM with nodular nerve terminals at P14 are probably developmental-period specific. In comparison, the TRN projections to the AD at P14 might be related to the development of spatial navigation as part of the head orientation system.
Allocazione delle risorse e qualità della vita in oncologia: considerazioni etiche
Authors: Palazzani L. , Mele V. , Sgreccia Elio
Published: March 2022

L'articolo esamina i criteri etici per la distribuzione delle risorse in ambito oncologico sia sotto il profilo della macroallocazione (allocazione dei diversi settori sanitari) che della microallocazione (decisioni relative a chi deve ottenere le risorse disponibili). In particolare si evidenzia il ruolo della considerazione della qualità di vita in rapporto all'utilitarismo sociale, all'individualismo libertario ed al contrattualismo. Attraverso l'analisi critica di tali orientamenti si sottolinea la validità del contributo del personalismo.
Links between Thyroid Disorders and Glucose Homeostasis
Authors: Eom Young Sil , Wilson Jessica R. , Bernet Victor J.
Published: March 2022

Thyroid disorders and diabetes mellitus often coexist and are closely related. Several studies have shown a higher prevalence of thyroid disorders in patients with diabetes mellitus and vice versa. Thyroid hormone affects glucose homeostasis by impacting pancreatic β-cell development and glucose metabolism through several organs such as the liver, gastrointestinal tract, pancreas, adipose tissue, skeletal muscles, and the central nervous system. The present review discusses the effect of thyroid hormone on glucose homeostasis. We also review the relationship between thyroid disease and diabetes mellitus: type 1, type 2, and gestational diabetes, as well as guidelines for screening thyroid function with each disorder. Finally, we provide an overview of the effects of antidiabetic drugs on thyroid hormone and thyroid disorders.
Air Pollution and Intracranial Hemorrhage
Authors: Jun Rui Mervyn Lim , Tan Jaclyn , Tan Benjamin Yong-Qiang , Yeo Tseng Tsai , Sharma Vijay K.
Published: March 2022

Air pollution is a significant contributor to cardiovascular and cerebrovascular diseases. including intracranial hemorrhage (ICH). However, associations between air pollution, various pollutants, and ICH are complex and remain poorly understood. Limited data are available on the relationship between ICH and individual air pollutants. In this review, we present an overview of the current literature about ambient air pollutants that are believed to contribute towards ICH as well as possible underlying mechanisms.
Air Pollution and Headache Disorders
Authors: Garg Divyani , Mehndiratta Man Mohan , Wasay Mohammad , Aggarwal Vasundhara
Published: March 2022

Air pollution, the most prevalent form of pollution worldwide, is associated with a wide range of neurological disorders, including neurodegenerative conditions, stroke, autism, depression, and developmental delay. There is accumulating evidence on the association between air pollution and headache disorders, especially migraine. Many classical and non-classical air pollutants have been associated with headache, including particulate matter, nitrogen dioxide, sulfur dioxide, ozone, carbon monoxide, as well as polycyclic aromatic hydrocarbons and volatile organic compounds. There has also been research on the impact of biomass fuels on health-related symptoms, including headache, which form an important source of air pollution in our country. The exact mechanisms underlying headache pathophysiology vis-à-vis air pollution are not precisely defined but include triggering of neuroinflammation and activation of the transient receptor potential ankyrin 1 (TRPA1)-associated pathways. Evidence from different regions of the world indicates a significant association between headache incidence and prevalence, and occurrence of air pollution. Despite growing data, research on adverse effects of air pollution on headache disorders remains limited, and appropriate outcome measures are not holistically defined in these studies. Due to the rapid advancement of the scourge of air pollution, there is a pressing need to expand the arena of research, specifically focused on pathological mechanisms, impact on health and quality-of-life parameters, as well as broader global ramifications.