bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of management of patients who apply to emergency service with dyspeptic complaints
Authors: ÇALIŞKAN Hacı Mehmet , ÇELİK Burak 
Published: June 2021

Aim: Dyspepsia means difficulty in the digestive process and consists of symptoms of bloating, pain, burning, early satiety, nausea and burping. Dyspepsia is one of the leading causes for applying to emergency services. Medical workups are overdone since there is still no consensus about the management of dyspeptic patients in emergency service. The aim of this article is to evaluate what is done for the management of patients with dyspeptic complaints in the emergency service.
Materials and Methods:This study was conducted by retrospective file scanning method and consisted 2798 cases who applied to the emergency service between 1 January – 31 December 2019 with dyspeptic complaints.
Results: Most of the patients who were included in the study were female (%58,1) and the average age was 39.73∓17,34. %77,8 (n=2176) of the included patients were treated by admission to the yellow area while %54,8 (n= 1534) was diagnosed with K29 (gastritis) according to the diagnostic codes. While 98.5% of the patients were discharged with outpatient treatment in the emergency observation room, only 1.5% were hospitalized. One case admitted with dyspepsia diagnostic code and presented with epigastric pain died.
Conclusion: In this study, it was determined that patients with dyspeptic complaints present to the emergency department at a significant rate, but patients benefit from outpatient treatment at a rate of %98,5. A careful history taken from and detailed physical examination of patients with dyspeptic complaints for preventing unnecessary examinations and cost-effective behavior in the treatment are considered to be important for the preservation of national wealth.
Vers un réseau lexico-sémantique de grande taille obtenu par crowdsourcing
Authors: Lafourcade Mathieu , Lebrun Nathalie 
Published: June 2021

Le projet JeuxDeMots vise à construire une grande base de connaissances de sens commun (et de spécialité), en français, à l’aide de jeux (GWAPs – Games With A Purpose), d’approches contributives, mais également de mécanismes d’inférences. Une dizaine de jeux ont été conçus dans le cadre du projet, chacun permettant de collecter des informations spécifiques, ou de vérifier la qualité de données acquises via un autre jeu. Cet article s’attachera à décrire la nature des données que nous avons collectées et construites, depuis le lancement du projet durant l’été 2007. Nous décrirons en particulier les aspects suivants : la structure du réseau lexical et sémantique JeuxDeMots, certains types de relations (sémantiques, ontologiques, subjectives, rôles sémantiques, associations d’idées, etc.), les questions d’activation et d’inhibition, l’annotation de relations (méta-informations), les raffinements sémantiques (gestion de la polysémie), la création de termes agglomérés permettant la représentation de connaissances plus riches (relations à n-arguments).
Crowdsourcing et bases de données
Authors: Vignale François 
Published: June 2021

La base de données EuRED (European Reading Experience Database) vise à rassembler des expériences de lecture des Européens de l’invention de l’imprimerie à nos jours. Cette preuve de concept a nécessité la mise au point d’une ontologie, de thesaurus et l’adoption du standard xml-TEI et s’appuie sur la réutilisation de données existantes (35 000 fiches) qui proviennent de la base britannique UK-RED lancée en 2006. Cette dernière a été constituée par des bénévoles formés à l’utilisation et par le grand public lesquels, soit dépouillaient des corpus d’auteurs, soit déposaient des témoignages familiaux, ce qui a généré malheureusement un nombre si important d’erreurs diverses que la possibilité de réutiliser ces données s’en trouvait menacée. Ces obstacles nous ont conduit à encadrer la participation du public dans EuRED et plus encore dans un projet H2020 qui en est la suite et qui prévoit également l’exploration de données massives. Ici, notre approche de la science participative et du crowdsourcing repose sur deux axes : 1) la contribution sera toujours possible mais avec une saisie contrôlée pointant vers des référentiels externes et internes ; 2) l’amélioration continue de ces mêmes thesaurus et des algorithmes d’exploration sera rendue possible par les retours d’utilisateurs non-professionnels et de citoyens-experts. Ce sont les constats qui ont guidé cette réflexion et les orientations retenues que nous souhaitons présenter dans cet article.
Partager et faire connaître l’héritage littéraire féminin
Authors: Van Dijk Suzan 
Published: June 2021

Isabelle de Charrière (Belle de Zuylen, 1740-1805), classée en tête du « canon littéraire d’Utrecht », fait partie de l’héritage culturel néerlandais, malgré le fait qu’elle écrivait et publiait en français. La numérisation de sa correspondance était une initiative de l’Association Isabelle de Charrière, réalisée dans le contexte de l’Institut Huygens d’Histoire des Pays-Bas (Amsterdam). Sous la direction de Madeleine van Strien-Chardonneau et de Suzan van Dijk, avec l’aide de Maria Schouten, un petit groupe de membres de cette Association s’est chargé de ce travail. Ils ont procédé au scannage des transcriptions (2552 lettres) contenues dans les six premiers volumes des Œuvres complètes, à l’OCR, puis à la transcription des textes, avec la modernisation de l’orthographe. Ils ont ajouté des métadonnées, et commencé à préparer des annotations explicatives, qui devraient rendre les textes accessibles à une audience plus large. Ces premiers travaux permettent déjà de procéder à un certain nombre de recherches sur des aspects précis des lettres et des correspondants grâce à la recherche par mots-clés. Pour faciliter l’étude ponctuelle de ce corpus, l’étape suivante est l’étiquetage d’éléments/passages pertinents par rapport à la personnalité de l’auteure et de ses préoccupations. Cet étiquetage servirait d’annotations dans le texte, et de catégories dans les bases de données comme le NEWW VRE, qui s’appuient sur des sources comme le sont ces correspondances privées – selon le principe qui avait été présenté en 2014 au colloque Digital Humanities de Lausanne.
Memorias del proyecto inocencia: El delito de receptación visto desde un estudio de caso
Authors: Beltrán Ramírez Judith Patricia 
Published: June 2021

El artículo surge como producto de uno de los casos adelantados dentro del Proyecto Inocencia Colombia, el caso objeto de estudio es con base al delito de receptación preceptuado en el artículo 447 del ordenamiento penal colombiano, este ha sido objeto de cambios sustanciales en los que se reflejara no solo la transformación de un delito sino a un aumento y disminución de penas privativas de la libertad, el constante cambio de normatividades ha permitido que se generen errores trascendentales en el análisis del delito y la tasación de punitiva, permitiendo de esta forma condenas injustas y violatorias al debido proceso.
Healthcare Providers’ Perceptions on Desired Attributes for Mhealth Apps to Improve Adolescents and Young Adults Living with HIV Healthcare Outcomes in Pandemics like COVID-19: A Qualitative Evidence Review
Authors: Rufu Annah , Chitindingu K , Chinofunga S , Mugurungi O , Dupwa B 
Published: June 2021

Aim:
This review explores perceptions of healthcare providers (HcPs) on desirable attributes for mobile-health Applications in emergencies and pandemics like COVID 19.
Background:
Studies in all study settings have reported encouraging potential for Mobile-health (mHealth) technologies in improving health outcomes by preventing treatment interruption. However, literature bears little evidence of use in information dissemination in emergencies and pandemics like COVID 19. It was rather more on monitoring and evaluation. Paying little attention to information and mental health support in emergencies and pandemics as one of the key drivers of innovation adoption has been widely cited as a notable mHealth limitation.
Methods:
This systematic review navigated through English authored peer-reviewed publications from health, computer engineering and social science repositories as guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The search was confined between February 2018 and April 2021 thus, yielding eleven (11) complete-text publications.
Results:
HcPs in the reviewed literature have used mobile-technology applications for monitoring and management of sexual (18.2%), reproductive & maternal health (9.1%), HIV (45.5%), Malaria (9.1%) and other chronic diseases (36.4%). Commonly mentioned sub-features in 72.7% of the studies identified motivation and trust attributes as desirable, 36.4% highlighting synchronism of technology, adaptability of App with different mobile-phones recorded in 45.5% of the studies while 63.6% value the fit-for-purpose attribute. These features were cited as desirable with little evidence of the geo-social influence of the users nor socio-economic setting.
Conclusion:
The study exposed the HcPs’ perceptions to the mobile-technology attributes as customised requirements, process requirements, moderating information-technology constructs and intervening & dependent requirements. Geospatial setting and income status of the country are less important in shaping the perceptions of HcPs as users of the mobile-technology.
Isolation of Dermatophytes from Infected Stray Dogs in Selangor, Malaysia
Authors: Ridzuan P.M , Proveen K. , Siti-Arffah Kamarulzaman 
Published: June 2021

Background: Dermatophytosis is one of the most common skin diseases that affects cats and dogs. Geographic factors play an important role in determining prevalence, showing high rates of prevalence in warm and humid environments. Purpose: The aim of this study was to determine the macroscopic and microscopic identification of different types of dermatophytes present on stray dogs. Methods: The design of this study was laboratory-based research. Each sample was collected from an infection site (nail, hair, or skin) that was identified by conducting a physical examination of a stray dog that was infected with fungi. The skin scraping, nail clipping, and fur cutting samples were collected from infected dogs and then cultured on Sabouraud Dextrose Agar (SDA). The cultures were incubated at 26°C for five weeks. The isolates of fungi were then examined macroscopically and microscopically. The Lactophenol Cotton Blue (LPCB) staining technique was used for fungi morphology identification. Results: Overall, the most common type of dermatophytes that affected the dogs were Trichophyton spp. (64.70%), Aspergillus spp. (10.10%), Microsporum spp. (7.20%), and Curvularia spp. (5.60%). Conclusion: This study revealed the most common dermatophyte infections found on stray dogs in Selangor, Malaysia. This study can assist investigators in understanding the prevalence of the dermatophyte burden in stray dogs and help prevent further complication, such as the spread of illness, especially zoonotic infection.
A conceptual framework for integrated management of Post-Natural Disasters Recovery (PNDR) projects
Authors: Bahmani Homa , Zhang Wei 
Published: June 2021

Abstract
Following the increasing rate of natural disasters, more attention is being paid to post-natural disaster reconstruction projects. However, from the perspective of project management, these projects show a significant degree of differences from the regular construction projects. Although some progress has been made on this topic, further research is needed to smooth pathways for the management of Post-Natural Disaster Recovery (PNDR) projects. This paper provides a management framework for PNDR projects throughout the qualitative analysis of the research's selected resources. The resources identified by applying inclusion and exclusion criteria in academic online platforms have been coded by NVivo 2020, and corresponding groups have been made for PNDR life-cycle and project stages. An integrated management framework has been put forward throughout the simultaneous application of the research's suggested life-cycle and project stages for PNDR projects. The most significant observation of this study is the necessity of applying a continuous life-cycle to address projects' long-term goals and provide an experience-based database for the management of next natural disasters. The significant role of planning in the entire life-cycle of PNDR projects, recognition of the tasks that need to be handled continuously during entire PNDR projects, the necessity of simultaneous consideration of tangible and intangible recovery outcomes are the other findings of this study. Recognition of reconstruction as part of the bigger system, named recovery, also stressed the necessity of considering the recovery project as a whole.
Southwestern ponderosa pine forest patterns following wildland fires managed for resource benefit differ from reference landscapes
Authors: Donager Jonathon James , Meador Andrew Joel Sánchez , Huffman David William 
Published: June 2021

Abstract
Context. Managers aiming to utilize wildland fire to restore southwestern ponderosa pine landscapes require better understanding of forest cover patterns produced at multiple scales. Restoration effectiveness of wildland fires managed for resource benefit can be evaluated against natural ranges of variation.Objectives. We describe landscape patterns within reference landscapes, including restored and functioning ponderosa pine forests of northern Arizona, and compare them to wildland fires managed for resource benefit. We make comparisons along a gradient of extents and assess the effects of scale on landscape differences.Methods. Using Sentinel-2 imagery, we classified ponderosa pine forest cover and calculated landscape metrics across a gradient of landscape extent within reference and managed landscapes. We used non-parametric tests to assess differences. We used random forest models to assess and explore which landscape metrics were most importance in differentiating landscape patterns.Results. Managed wildfire landscapes were significantly different from reference landscapes for most metrics and extents (15 ha to 840 ha). Landscape type (managed vs. reference) became increasingly differentiable with scale, with area and aggregation metrics being the most informative. Classification models increased in accuracy despite fewer observations with increasing scale.Conclusions. Wildland fires managed for resource benefit in ponderosa pine forests of northern Arizona are not producing landscape patterns consistent with reference landscapes likely due to predominance of low-severity burning and minimal resulting changes in overstory structure. Differences become more pronounced with increasing landscape size and suggest small-scale heterogeneity and mid - and large-scale homogeneity within each landscape type.
In vitro evaluation and molecular docking analysis of potential anticancer compounds from Annona muricata L.
Authors: Nalini Pichai , Ibrahim Kalibulla Syed , Brindha Durairaj 
Published: June 2021

Abstract
Annona muricata L. is widely distributed in tropical and subtropical regions around the world. Traditionally this plant has been used as a medicine for multiple ailments including cancer. The present study focussed on the anticancer activities of hydroethanolic extracts of leaves of A. muricata L. on Dalton’s Lymphoma Ascites (DLA) cell line in comparison with standard drug doxorubicin. Cytotoxicity studies have indicated that the phytoconstituents of A. muricata have the ability to selectively target cancer cells (IC50 = 185.585 µg/ml), whereas minimal or negligible cytotoxic effects were observed on normal cells. Gas Chromatography - Mass Spectrometry data revealed the presence of 16 phytoconstituents comprising mainly alkaloids and phenolic compounds. Pharmacokinetic profiling and molecular docking studies using the phytoconstituents were performed in order to gain a better understanding of the putative mechanisms of action leading to the development of improved and affordable therapies.
A virtual machine migration policy for multi-tier application in cloud computing based on game theory
Authors: Tran Hung Cong , Bui Khiet Thanh , Ho Hung Dac , Vu Vu Tran 
Published: June 2021

Abstract
Cloud computing technology provides shared computing which can be accessed over the Internet. When cloud data centers are flooded by end-users, how to efficiently manage virtual machines to balance both economical cost and ensure QoS becomes a mandatory work to service providers. Virtual machine migration feature brings a plenty of benefits to stakeholders such as cost, energy, performance, stability, availability. However, stakeholder's objectives are usually conflicted with each other. Also, the optimal resource allocation problem in cloud infrastructure is usually NP-Hard or NP-Complete class. In this paper, the virtual migration problem is formulated by applying game theory to ensure both load balance and resource utilization. The virtual machine migration algorithm, named V2PQL, is proposed based on Markov Decision Process and Q-learning algorithm. The results of the simulation demonstrate the efficiency of our proposal which are divided into training phase and extraction phase. The proposed V2PQL policy has been benchmarked to the Round-Robin policy in order to highlight their strength and feasibility in policy extraction phase.
Knowledge Vector Representation of Three Dimensional Convex Polyhedrons and Reconstruction of Medical Images using Knowledge Vector
Authors: Rani Shilpa , Lakhwani Kamlesh , Kumar Sandeep 
Published: June 2021

Abstract
Three-dimensional image construction and reconstruction play an important role in various applications of the real world in the field of computer vision. In the last three decades, researchers are continually working in this area because construction and reconstruction is an important approach in medical imaging. Reconstruction of the 3D image allows us to find the lesion information of the patients which could offer a new and accurate approach for the diagnosis of the disease and it adds a clinical value. Considering this, we proposed novel approaches for the construction and reconstruction of the image. First, the novel construction algorithm is used to extract the features from an image using syntactic pattern recognition. The proposed algorithm is able to extract in-depth features in all possible directions and planes and also able to represent the 3D image into a textual form. These features vector is nothing but a string that consists of direction and length information in syntactic form. For the identification of syntactic grammar, a real 3D clay model was made and identified the different possible patterns in the image. According to the domain knowledge, in a 3D image, a pixel could be present in 26 possible directions and we incorporated all possible directions in the proposed algorithm. In the same way, for the reconstruction of the image novel algorithm is proposed. In this algorithm, the knowledge vector has been taken as an input and the algorithm is able to reconstruct a 3D image. Reconstruction allows us to explore the internal details of the 3D images such as the size, shape, and structure of the object which could take us one step ahead in the field of medical image processing. Performances of the proposed algorithms are evaluated on five medical image dataset and the datasets are collected from Pentagram research institute, Hyderabad and results are outperformed in real-time. The accuracy of the proposed method is 94.78% and the average execution time is 6.76 seconds which is better than state of art methods.
Spotted Hyena Optimization and Simulated Annealing-based NLOS Nodes Localization Scheme for Improving Warning Message Dessimination in VANETs
Authors: S.B Lenin , Tamilarasan Narayana Samy 
Published: June 2021

Abstract
An accurate localization technique is considered as the significant entity in Vehicular Ad hoc Networks (VANETs) for facilitating emergency message data transmission in diversified critical safety applications. In VANETs, the system of global positioing is generally used for estimating the position of the vehicles in the network for attaining neighborhood awareness in the event of warning message dissemination. However, the existence of green foliages, buildings, indoor parking lots and urban streen canyons introduces NLOS situation that introduces unwanted errors that crumbles the degree of data dissemination in emergency situations. In this paper, Spotted Hyena and Simulated Annealing Optimization Algorithm (SHSAOA)-based positioning scheme was proposed for precise estimation of NLOS nodes. İt included the advantages of improved simulated annealing (SA) integrated into SHOA for establishing better balance between the process of exploitation and exploration in the search space. This positioning approach generated candidate solutions by deriving the merits of the trajectory-based charateristics of SA throughout the algorithmic development process in order to improve the local optimization process. This proposed SHSAOA utilized the distance infotmation that are associated with the vehicle trajectory, number of vehicles and error in distance information for assessing the precise location of the NLOS nodes in the network. The simulation results of the proposed SHSAOA scheme confirmed minimized localization error with maximized accuracy in transmission, warning message transmission rate, channel utilization degree and neighborhood awareness degree with different vehicular density and NLOS nodes.