bluuebunny/crossref_metadata_2025 huggingface dataset:
Relations de services
Authors: Barret Christophe , Robelet Magali
Published: April 2022

Résumé Ce chapitre a montré l’impact de diverses transformations (de types socio-organisationnels et socio-professionnels) du système de santé français sur les situations de travail du personnel soignant. L’analyse s’est surtout centrée sur les dimensions de stress et de tension dans la relation patients-soignants (infirmières) engendrées par ces évolutions. Des pistes de régulation via le management et l’organisation ont été proposées.
Enfants de migrants dans les institutions de soins de la société française
Authors: Kob Fatima , Idris Isam
Published: April 2022

En partant du travail et de l’expérience d’un soignant issu de l’immigration, oeuvrant en psychiatrie et en même temps dans le champ social, ce texte explore l’aménagement nécessaire dans son identité culturelle et professionnelle. Il met en exergue un double décentrage développé par l’auteur dans une créativité favorisant la démarche d’« aller vers… » mise en oeuvre dans la psychiatrie de secteur pour plus de proximité avec les patients dans leurs lieux de vie quotidienne.
The Gelfand problem for the Infinity Laplacian
Authors: Charro Fernando , Son Byungjae , Wang Peiyong
Published: April 2022

We study the asymptotic behavior as $ p\to\infty $ of the Gelfand problem

   \begin{document}$ \begin{equation*} \left\{ \begin{aligned} -&\Delta_{p} u = \lambda\,e^{u}&& \text{in}\ \Omega\subset \mathbb{R}^n\\ &u = 0 && \text{on}\ \partial\Omega. \end{aligned} \right. \end{equation*} $\end{document}

Under an appropriate rescaling on $ u $ and $ \lambda $, we prove uniform convergence of solutions of the Gelfand problem to solutions of

   \begin{document}$ \left\{ \begin{aligned} &\min\left\{|\nabla{}u|-\Lambda\,e^{u}, -\Delta_{\infty}u\right\} = 0&& \text{in}\ \Omega,\\ &u = 0\ &&\text{on}\ \partial\Omega. \end{aligned} \right. $\end{document}

We discuss existence, non-existence, and multiplicity of solutions of the limit problem in terms of $ \Lambda $.
Annual Summer Submersed Macrophyte Standing Stocks Estimated From Long-Term Monitoring Data in the Upper Mississippi River
Authors: Drake Deanne C. , Lund Eric M. , Kreiling Rebecca M.
Published: April 2022

System-scale restoration efforts within the Upper Mississippi River National Wildlife and Fish Refuge have included annual monitoring of submersed aquatic vegetation (SAV) since 1998 in four representative reaches spanning ∼ 440 river kilometers. We developed predictive models relating monitoring data (site-scale SAV abundance indices) to diver-harvested SAV biomass, used the models to back-estimate annual standing stock biomass between 1998 and 2018, and compared biomass estimates with previous abundance measures. We modeled two morphologically distinct groups of SAV with differing sampling efficiencies and estimated each separately: the first category included only wild celery Vallisneria americana, which has long, unbranched leaves and dominates lotic environments, while the second category included 17 branched morphology species (e.g., hornwort Ceratophyllum demersum and Canadian water weed Elodea canadensis) and dominates lentic environments. Wild celery accounted for approximately half of total estimated total biomass in the four reaches, combined branched species accounted for half, and invasive species (Eurasian watermilfoil Myriophyllum spicatum and curly-leaf pondweed Potamogeton crispus), a fraction of the branched species, accounted for < 1.5%. Site-scale SAV estimates ranged from 0 to 535 g·m−2 (dry mass). We observed increases in biomass in most areas between 1998 and 2009 and substantial increases (e.g., from < 10 g·m−2 to ∼ 125 g·m−2) in wild celery in extensive impounded areas between 2002 and 2007. Analyses also indicate a transitional period in 2007–2010 during which changes in biomass trajectories were evident in all reaches and included the start of a 9-y, ∼ 70% decrease in wild celery biomass in the southernmost impounded area. Biomass estimates provided new insights and illustrated scales of change that were not previously apparent using traditional metrics. The ability to estimate biomass from Long Term Resource Monitoring data improves conservation efforts through better understanding of changes in habitat and food resources for biota, improved goal setting for restoration projects and improved quantification of SAV-mediated structural effects such as anchoring of sediments and feedbacks with water quality.
An Open Social Scholarship Path for the Humanities
Authors: Arbuckle Alyssa , Siemens Ray , Bath Jon , Crompton Constance , Estill Laura , Niemann Tanja , Saklofkse Jon , Siemens Lynne
Published: April 2022

Open digital scholarship is significant for facilitating public access to and engagement with research, and as a foundation for growing digital scholarly infrastructure around the world today and in the future. But the path to adopting open, digital scholarship on a national—never mind international—scale is challenged by several real, pragmatic issues. In this article, we consider these issues as well as proactive strategies for the realization of robust, inclusive, publicly engaged, open scholarship in digital form. We draw on the INKE Partnership’s central goal of fostering open social scholarship (academic practice that enables the creation, dissemination, and engagement of open research by specialists and non-specialists in accessible and significant ways). In doing so, we look to pursue more open, and more social, scholarly activities through knowledge mobilization, community training, public engagement, and policy recommendations in order to understand and address challenges facing digital scholarly communication. We then provide tangible details, outlining how the INKE Partnership puts open social scholarship theory into practice, with an eye to a more open and engaged future.
Dragging Academe Out of the Closet
Authors: Satterly Brent A.
Published: April 2022

Gay men who are feminine in their gender expression, or gay “sissy boys,” are paradoxically loved and loathed in American culture. Drag queens, a Queer subculture where gay sissy boys don costumish clothing and makeup, transgress gender, and entertain masses, are similarly adored and despised. This Queer chic phenomenon coupled with the reality of Queer oppression creates a challenging, yet exciting window of pedagogical opportunity for Queer faculty in higher education. Using an autobiographical lens, editorials, and drag colloquialisms, the author's unique academic perspective as a gay sissy boy and drag queen will exemplify and analyze 1) how gay sissy boy outrageousness and authenticity can be disarming, alluring, and empowering for students and 2) how drag can illuminate student learning and growth in spite of themselves and their masks. Couched in critical theory, social reconstructionism, and existentialism, the author presents the “DIVA Pedagogy” model to highlight how Queer camp culture can activate student engagement about diversity, social justice, and activism.
Knowledge Extraction From ICU Data Using Data Visualization
Authors: Guimarães Tiago , Quesado Inês Afonso , Tavares Inês , Passos Maria , Duarte Júlio , Santos Manuel Filipe , Silva Álvaro
Published: April 2022

Due to ICU critical environment, where seriously ill patients must be constantly monitored, it is imperative to make quick but assertive decisions. Several studies have shown that continuous monitorization of ICU patients result in large amounts of data, from which knowledge can be extracted and better decisions made. This chapter aims to analyse and visualize the data obtained by an ICU, so that conclusions can be deduced regarding patients' outcome, clinical errors, as well as healthcare service quality. To achieve the objective, initially, the data was acquired and collected from several data sources such as bedside monitors and electronic nursing records. Secondly, the raw data was transformed so that it could be used in visualization. Finally, interactive charts were built so that data could be forecasted and patterns discovered. The results allow one to draw conclusions such as the source of data gaps, the correlation between medication and vital signs, as well as the importance of SAPS regarding patient outcomes.
A Psychometrics Approach to Entropy
Authors: Machado Joana , Araújo Isabel , Almeida-Dias António , Ribeiro Jorge , Vicente Henrique , Neves José
Published: April 2022

Today's metrics for women housework work (WHW) operate at a quantitative level, specifically measuring time expended on a task and the totality of tasks women perform, not considering that it is a process that is eminently qualitative in nature. To fill this gap, an innovative framework for representing and thinking about big data or knowledge is presented, borrowing from the field of artificial intelligence the methods and methodologies for problem solving, from logic programming the artifacts to improve practice through theory, and from the laws of thermodynamics the construct of entropy, interpreted as the degree of disorder or unpredictability in a system, a principle that may be used to understand system evolution. Last but not least, it also considers the relationship among the disciplines of psychometrics and psychology or sociology (i.e., how certain psychological and sociological concepts such as cognition, knowledge and personality affect WHW satisfaction).
Improving the Management of Hospital Discharges
Authors: Coimbra Ana Cecilia , Miranda Filipe , Lori Nicolas F. , Duarte Júlio , Mendes Gomes Luis
Published: April 2022

At the University of Porto Hospital (Centro Hospitalar Universitário do Porto [CHUP]), a tool for computerized clinical coding was developed to assist in the codification of hospital discharge. However, for this tool to be useful, it is necessary to have a process to manage the entire coding process. Thus, a platform was developed to help manage the coding of hospital dis-charge episodes. The biggest advantage of the existence of this platform is to better organize the entire coding process in order to improve the quantity and quality of work performed by CHUP's health professionals.
Message System to Healthcare Interoperability
Authors: Miranda Filipe Manuel Mota , Coimbra Cecilia
Published: April 2022

The main goal of the present case study is to infer the possibility of introducing the Apache Kafka paradigm to the exchange of healthcare information. Initially, a simple HL7 message generated in accordance with documentation was used as message origin message. Then that message should reach destination using the FHIR standard. As communication middle and handler, the Apache Kafka was implemented featuring a Confluent docker image. To map between HL7 versions, the Python language converts the original message into a JSON object. Then the Kafka API handles the socket interface between structures. Considering the charge test, the results were very positive considering a 6000-message integration under one minute and with an offset of 500 messages. Also, the systems are capable of maintaining the order of messages and recover in case of errors. So, it is possible to use Kafka to share JSON objects under FHIR standard but having in mind a prior definition of the topic, consumer, and producer configuration.
Stranded Assets in the Context of the Low Carbon Economy
Authors: Faria Juliano Almeida , Gomes Sonia Maria Da Silva , Souza André Luis Rocha , Torinelli Viviane Helena
Published: April 2022

The generation of stranded assets affects the largest oil, gas, and coal companies in the world; the entire resulting structural chain; and also carbon-intensive industries. Thus, this chapter aimed to understand the state of the art of the stranded assets theme produced in the scientific world. The investigation showed that the Paris Agreement contributed to increase the amount of research on stranded assets with a growth of 91.09%, when compared to the pre-agreement period. Although the number of recent researches is significant, the theme is concentrated in two prominent authors who collaborate with each other and have a strong influence on the other works identified in the other clusters, serving as references in works of the sample extracted from the Scopus database. Ben Caldecott and Adrien Vogt-Schilb were identified as prominent on the topic investigated due to the significant number of citations in works around the world.
The Reporting of Non-Financial Information by SMEs
Authors: Albuquerque Fábio , Rodrigues Maria Albertina Barreiro , Gomes dos Santos Paula , Morais Ana
Published: April 2022

Until now, small and medium enterprises (SMEs) have largely been left out of non-financial information (NFI) disclosures. However, this will change significantly with the Non-Financial Reporting Directive. This chapter analyses the stakeholders' perspective about three core aspects related to this: the usefulness of a simplified NFI standard and/or reporting format for SMEs; if that is an effective means of limiting the burden on SMEs; and, finally, in case of implementing it, if it should be mandatory or voluntary. Data were obtained from the stakeholders' answers provided during the public consultation conducted by the European Union about possible revisions of the Directive 2014/95/EU, from February to June 2020. The results show that the most controversial topic is the mandatory or voluntary nature of the simplified standard for SMEs. Furthermore, there are different opinions about the usefulness and effectiveness of a simplified standard for SMEs, particularly between capital providers versus other entities.
Multidimensional Concept of Integrated Thinking and Proposal of Indicators for Its Identification
Authors: Bevilaqua Isabelle Caroline , Neumann Marguit , Faia Valter da Silva
Published: April 2022

The objective of the chapter is to understand the multidimensional concept of integrated thinking and propose a set of indicators that enable organizations to identify integrated thinking. The chapter is characterized as qualitative, descriptive, and exploratory. Seventeen semi-structured interviews were conducted with researchers who have developed dissertations and/or theses on integrated reporting. The results were analyzed from content analysis and allowed comparing the dimensions proposed for integrated thinking. The results show that the concept of integrated thinking is multidimensional and has four dimensions: 1) connectivity and systemic view, 2) integrated planning, 3) communication and cooperation, 4) understanding stakeholders. Based on that, it was possible to develop a set of 27 indicators. The findings contribute to the academic literature on integrated reporting, filling research gaps, and the development of integrated thinking indicators contributes to organizational practice, as they enable the identification of integrated thinking.
Gender Visibility of Female Directors in the Local Licensed Commercial Banks in Sri Lanka
Authors: Gunawardana Kennedy Degaulle
Published: April 2022

The purpose of this chapter is to expose and portray the investigation of female occupational compositions, trends in designation portfolio and female visibility in the board of directors and corporate management in local licensed commercials banks in Sri Lanka. The chapter identifies that most local licensed commercial banks in Sri Lanka still have not adopted dynamic corporate practices as they claim. The majority occupied secretarial and legal positions at the board level and deputy general manager positions at the corporate management level. All of them possessed higher educational/professional qualifications, longer number of years of experience, and many were members of third-party networks which would have felicitated their visibility towards career advancement. Further, the chapter identified that government banks were more rigid in occupying females into their apex levels than private licensed commercial banks.
Deep-CNN Model for Acute Lymphocytic Leukemia (ALL) Classification Using Microscopic Blood Images
Authors: Christodoss Prasanna Ranjith , Natarajan Rajesh
Published: April 2022

Acute lymphocytic leukemia (ALL) is a variety of malignant somatic cell cancer that influences children and teenagers. The goal of the study is to create a system that can detect cancer from blood corpuscle images mechanically. This method employs a convolutional network that takes images of blood corpuscles and determines whether or not the cell is cancer infected. The appearance of cancer in blood corpuscle images is frequently ambiguous, overlaps with other diagnosis, and can be mistaken for a variety of benign abnormalities. Machine-assisted cancer identification from blood corpuscle images at the level of skilled medical staff would be extremely beneficial in clinical settings and also in the delivery of healthcare to populations with limited access to diagnostic imaging specialists. Here, the authors proposed a convolutional neural network (CNN)-based methodology to distinguish between outdated as well as irregular somatic cell photos. With the dataset and 1188 somatic cell images, the proposed methodology achieves an accuracy of up to 96.6%.
Multilingual Novel Summarizer for Visually Challenged Peoples
Authors: Irudayasamy Amalraj , Christotodoss Prasanna Ranjith , Natarajan Rajesh
Published: April 2022

In our busy lives, most of us hardly have time to read books. This habit of reading is slowly diminishing because of people's busy lives. The situation is significantly difficult for persons who are visually challenged or have lost their vision. As a result, the authors provide a method based on the sense of sound that is better and more accurate than the sense of touch for visually impaired people. This chapter discusses an effective method for condensing books into important keywords in order to avoid having to read the entire text each time. This work employs a variety of APIs and modules, including Gensim, Text Ranking Algorithm, and other functions for translating summary text to speech, allowing the system to assist even the blind.
A Secure and Effective Image Retrieval Based on Robust Features
Authors: B. Swapna , P. Arulmozhi , M. Kamalahasan , V. Anuradha , M. Meenaakumari , H. Hemasundari , T. Aathilakshmi
Published: April 2022

The most typical approaches are content-based image retrieval systems. Content-based picture retrieval may be the only one in all the image retrieval techniques that uses user visual options of an image like color, form, and texture. The objective is to retrieve the set of pictures quickly and economically by supported color and texture options. Color is the foremost authoritative and utilized visual option that is invariant to image dimension and adjustment. Color car correlogram includes the special correlation and figures the mean color of all components of intensity about a distance k-th of a pixel of intensity the picture. Next, the feel feature may be a powerful region-based descriptor to provide a life of attributes like smoothness, coarseness, and regularity. Block distinction probabilities and block variation of native correlation features are analysed to speed up the retrieval method. BDIP may be a block-based approach to extract color and intensity features and live native brightness variation from the photographs.
Analysts and Detection of Concealed Weapons Using lR Fusion With MMW Support Imaging Technology
Authors: Hema Shankari K. , Vilasini S. Mathi , Sridevi D. , Amudha S.
Published: April 2022

The detection of weapons concealed underneath a person's clothing is an important obstacle to the improvement of the security of the general public as well as the safety of public assets like airports and buildings. The lack of proper mechanisms to detect and identify concealed weapons in advance results in the increase of crime rate. This chapter presents a study for concealed weapon detection using passive millimeter wave imaging sensors combined with image processing and convolutional neural networks. This eliminates the ambiguity of using millimeter wave imaging alone. The proposed system will perform the fusion of Passive MMW images with corresponding IR images followed by YOLO and VGG Net detection models.
IoT-Based Design and Execution of Soil Nutrients Monitoring
Authors: B. Swapna , Manivannan S. , Kamalahasan M.
Published: April 2022

A sensor centers on using detectors beneath the surface of the soil. The applications require the sending of sensors beneath the ground surface. Henceforth, the sensors turn out to be a piece of the detected condition and may convey more exact detecting. Sensors like NPK (nitrogen, phosphorus, and potassium), soil moisture, and humidity are underground and impart through soil. Most of the applications for sensors are shrewd farming, natural observing of the soil, etc. In this chapter, moisture substance, NPK level of the soil in land is estimated utilizing the sensors, which send it to the centralized server through internet of things for checking. The authors introduce propelled channel models to portray the underground remote channel to consider the qualities of the expansion of electromagnetic waves in the soil. From this detection of soil, one can increase crop production as per the wealth and nutrient levels of soil.
Efficient Data Verification Systems for Privacy Networks
Authors: V. Vinoth kumar , V. Muthukumaran , V. Rajalakshmi , Lakkshmanan Ajanthaa , S. Venkatasubramanian , E. Mohan
Published: April 2022

To overcome the problem with aggregated raw data, privacy preservation is the best answer. For privacy measures and other concerns, it delivers full throttle security for data. The essential reason for data security is that single transactions will not be permitted and recently utilised customers to communicate information securely. This study presents and compares various verification strategies based on the crypt arithmetic methodology for various set-valued data. It primarily checks for privacy risks in the sharing of details and information between the publisher, admin, and customers. There are various ways of preventing privacy violations, including the PPCDP technique for strong data that is non-trivial to implement. The authors used the Java Tomcat server, HTML, and JavaScript to develop a web application. We can automatically stop the person who is attempting to inject the vulnerability code using the technique, and all of this information is kept in the database.
Profit Sharing Models for Social Media in Big Data Commercialized Crises
Authors: Chen Tsung-Yi , Tung Yung-Han
Published: April 2022

In era of global crises and data-based business competition, when users use social media, their personal data and network behaviors are collected. These data are valuable for making right decisions. Based on fair viewpoint, the profits of social platforms should be shared with the data providers. In order to discuss the applicability of profit sharing, 26 users were grouped and interviewed collaboratively. The customer profiles and value proposition maps were then used as a tool to summarize the respondents' preliminary suggestions to explore the users' motivation for using social network media and their opinions on the issues related to data collected, privacy, and profit sharing. This study has also explored the issues related to the fair and reasonable rewards of social platforms. Then, the profit-sharing models were designed according to the suggestions, which were obtained from 388 valid questionnaires. This study helps us to understand the common views of users of social media platforms on the collection and sharing of their data.
Study of Social Media Indulgence Among College Students in UAE and Kuwait
Authors: AlKandari Ibrahim A. , Al-Jenaibi Badreya Nasser
Published: April 2022

This chapter focuses on uses and gratifications of social media use among college students in the United Arab Emirates and in Kuwait for three social media platforms: Twitter, Instagram, and Snapchat. Mixed methodologies are duly applied (quantitative and qualitative) to explore various use and gratifications factors, as well as other social factors among a youth that contributes to the adoption of these social network sits (SNSs). Moreover, several statistical tests were performed to analyze collected data. A few research articles are published about new and social media platform use in the region; however, comparative studies were rarely noticed regarding this subject. The survey includes (N=190) samples between Kuwaiti and Emirati students. Conclusively, the study reveals that the main use and gratification reason for using the abovementioned social media platforms amongst college youth is entertainment, while the main social reason is identification.
Efficient Data Clustering Techniques for Software-Defined Network Centres
Authors: V. Vinothkumar , V. Muthukumaran , V. Rajalakshmi , Joseph Rose Bindu , Munirathnam Meram
Published: April 2022

In a smart system, a software-defined network (SDN) is frequently used to monitor and manage the communication organisation. Large-scale data analysis for SDN-based bright networks is gaining popularity. It's a potential technique to deal with a large amount of data created in an SDN-based shrewd lattice using AI advancements. Nonetheless, the disclosure of personal security information must be considered. Client power conduct examination, for example, may result in the disclosure of personal security information due to information bunching. Clustering is an approach for displaying models' observations, data items, or feature vectors in groups. Batching addresses has been catered to in various interesting circumstances and by masters in distinct requests; it gleams far-reaching attractiveness and assistance as one of the ways in exploratory data examination and moreover increases the genuine assessment of data. In this chapter, the authors conduct a study of packing and its various types and examine the computation. Finally, they use it to create an outline model.
Planning a Three-Year Research Based on the Community of Inquiry Theory
Authors: Nizzolino Salvatore
Published: April 2022

This research project aims to take advantage of five annual English as a Second Language (ESL) courses, in two faculties of Sapienza University of Rome, during a three-year period. These courses, embedded in the timeline of the regular academic semesters, are the teaching/learning environments in which the researcher himself works as a language teacher and tutor. Therefore, they will be the ground for this blended education plan complemented by e-learning through CIT ecosystems. The research plan takes shape within the community of inquiry framework (CoI), and this theory encompasses the conceptual boundaries.
Design and Develop a Decision-Making Assistance Model for Agriculture Product Price Prediction
Authors: Kudari Rajeev , Jyothi Aggala Naga , Mohd Abdul Mannan , Nair Prabha Shreeraj
Published: April 2022

Most of India's wealth and economy are derived from agriculture. Crop production price forecasting has always been a challenge for farmers. Climatological changes as well as other market variables have resulted in significant losses for farmers. Despite their best efforts, farmers are unable to sell their crops for the prices they want. A decision-assistance model for agricultural product price forecasting is being developed in this project. Farming decisions may be made using this method, which takes into consideration elements like yearly rainfall, WPI, and so on. A year's worth of forecasts are available from the technology. The system employs a machine learning regression approach known as decision tree regression.
Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles
Authors: Karamsetty Shouryadhar
Published: April 2022

The emergence of embedded and connected smart devices, systems, and technologies has given rise to the concept of smart cities in modern metropolises. They've made it possible to connect “anything” to the internet. As a result, the internet of vehicles (IoV) will play a critical role in newly constructed smart cities in the approaching internet of things age. The IoV has the ability to efficiently tackle a variety of traffic and road safety issues in order to prevent fatal crashes. Furthermore, ensuring quick, secure transmission and accurate recording of data is a particular problem in the IoV, particularly in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connections. Furthermore, the authors qualitatively examined the suggested overall system performance and resiliency against popular security assaults. The proposed method solves the primary issues of vehicle-to-x (V2X) communications, such as centralization, lack of privacy, and security, according to computational experiments.
Autonomous Robotic Technology and Conveyance for Supply Chain Management Using 5G Standards
Authors: Manoharan Hariprasath , R. Kshirsagar Pravin , Chandan Radha Raman , V. Kalpana , Bora Ashim , Chaturvedi Abhay
Published: April 2022

The process of incorporating robotic technology and autonomous vehicles are increasing in all applications where for all real-time application developments time and energy can be saved for every single movement transfer as compared to human classifications. Thus, considering the advantage of autonomous process without any presence of an individual, the supply chain management can be designed using robotic technology. The robotic technology provides an informal route where all goods can be transported to different places within a short span of time, and any false identification in transfer of goods can also be easily identified. To drive the autonomous vehicle towards correct location, a precise protocol is chosen, which is termed common industrial protocol (CIP) where proper solutions can be achieved for all control applications using time synchronization model. Further, the data monitoring process is trailed using an online contrivance which is termed as internet router (IR) where short distance can be identified using corresponding addressing scheme.
The Relationship Between Technological Development and Economic Growth in Emerging Economies
Authors: Sezgin Funda H.
Published: April 2022

Technology creates a difference in production factors, methods, and products, and as a result of these differences increasing production and efficiency, it creates an increase in profit and competitive advantage. Technology is of great importance not only on the basis of companies or sectors, but also on the basis of countries. It also has an important role in determining the development and development levels of countries. For this reason, the use of appropriate technologies at appropriate times is also important in terms of national policies. In the globalizing world economy, technology is decisive for the competition among countries. Technological developments are of great importance as the driving force of growth, especially for emerging economies. The aim of this study is to determine the effect of technological developments on growth in emerging economies with the help of panel causality analysis. As a result of the analysis, one-way causality from technological development to economic growth was determined.
Sustainable Tourism and the COVID-19 Crisis
Authors: Garda Betül
Published: April 2022

Sustainable tourism is an approach in which the environment is protected from deterioration and change and cultural integrity, ecological process, biological diversity, and life support systems are maintained. Resources are managed so that the needs of hosts and tourists are met and that future generations can meet the same needs. Sustainable tourism is expected to minimize the negative effects of tourism development on society and the environment and to have an impact on the local economy, the preservation of natural and cultural heritage, and the quality of life of hosts and visitors through tourism. The concept of “sustainable tourism” focuses on the principles that should be adopted while carrying out activities for the development of different types of tourism.
Oxidation and Tribology of Al2O3-Induced LaTi2Al9O19/YSZ Double Ceramic Layer Coatings
Authors: Purohit Pritee , Vagge Shashikant Tukaram
Published: April 2022

In the present work, the alumina-induced thermal barrier coatings with LaTi2Al9O19 (LTA) and yttria-stabilized zirconia (YSZ), LTA/YSZ double ceramic layer (DCL) are studied for oxidation and wear tests. Different coatings combinations with varying thickness of LaTi2Al9O19 (LTA) top coat layer are developed using plasma spray method and are tested for isothermal oxidation and wear test. An Alumina layer is induced after the bond coat layer to provide a readily available oxide layer. The activation energy is calculated using the Arrhenius equation. Arrhenius plots are developed using oxidation kinetics. Coatings are tested for wear performance also. The coating combination with a higher thickness of LTA proved best for both oxidation and wear performances. Surface characterization is done using EDS and XRD analysis.
Tribo-Corrosion Behaviour and Characterization of Biocompatible Coatings
Authors: Chavan Amol Bajarang , Gawade Sanjaykumar S. , Bhosale Digvijay G.
Published: April 2022

Commercially available metallic orthopaedic implant materials cause major problems like stress shielding and the release of harmful ions due to corrosion and wear. Also, the secondary operation is a must for the implant removal. Therefore, the biodegradable and biocompatible magnesium (Mg) implant materials have been investigated. Mg shows favorable biological properties and matching mechanical properties with the natural bone. Mg alloys rapidly corrode in the physiological environment, which cause failure of the implant before completing the expected function. Surface coating is the most effective method for improving the corrosion performance of Mg and its alloys. Hydroxyapatite (HA), being the most stable phase of calcium phosphates in physiological conditions, is preferred as a coating material. The chapter focuses on the tribo-corrosion and characterization of HA coatings prepared by electrodeposition process on Mg alloys. The results are useful for the designer community in the selection of biocompatible coatings and process parameters to maximize the life of bio-implants.
Opposition-Based Multi-Tiered Grey Wolf Optimizer for Stochastic Global Optimization Paradigms
Authors: Bahl Vasudha , Bhola Anoop
Published: April 2022

Researchers are increasingly using algorithms that are influenced by nature because of its ease and versatility, the key components of nature-inspired metaheuristic algorithms are investigated, involving divergence and adoption, investigation and utilization, and dissemination techniques. Grey Wolf Optimizer (GWO), a relatively recent algorithm influenced by the dominance structure and poaching deportment of grey wolves, is a very popular technique for solving realistic mechanical and optical technical challenges. Half of the recurrence in the GWO are committed to the exploration and the other half to exploitation, ignoring the importance of maintaining the correct equilibrium to ensure a precise estimate of the global optimum. To address this flaw, a Multi-tiered GWO (MGWO) is formulated, that further accomplishes an appropriate equivalence among exploration and exploitation, resulting in optimal algorithm efficiency. In comparison to familiar optimization methods, simulations relying on benchmark functions exhibit the efficacy, performance, and stabilization of MGWO.
Standard Operating Procedure (SOP): the starting point for quality research - the reality of Alessandria
Authors: Ugo Francesca , Roveta Annalisa , Betti Marta , Libener Roberta , Maconi Antonio
Published: April 2022

Research development led to an implementation of the safety and efficacy evaluation processes of clinical trials. Sponsors planned and implemented organizational procedures for the different phases of the study, which are called Standard Operating Procedures (SOPs). Also centers where the research activity is done have the same need. SS Antonio e Biagio e Cesare Arrigo Hospital in Alessandria, involved in research activity since time, developed SOPs in order to optimize not only the management but also clinical trials' activation.
CAR-T therapy: the role of the hematopoietic stem cell processing laboratory
Authors: Neri Roberta , Patrone Mauro , Ladetto Marco , Mele Lia
Published: April 2022

Objectives: Purpose of this paper is to review all the phases that involved, for the first time, the SC of Hematology and the SC of Transfusion Medicine, specifically, the CSE Processing laboratory, in implementing an innovative operative protocol of gene immunotherapy due to the inclusion of the first patient, affected by diffuse large B-cell lymphoma (DLBCL), stage IV, into the CAR-T therapeutic program. The program took place within the SS Antonio e Biagio e Cesare Arrigo Hospital of Alessandria.Methods: Firstly, lymphocytes are taken from the patient through a technique called lymphocytoapheresis and inserted into a blood bag. The blood bag is sent to the CSE Processing laboratory, where, after sampling, the following steps are carried out: cell manipulation, possible cryopreservation of the product and subsequent dispatch to specialized production centers, called: Cell Factory. In this laboratory, lymphocytes will be genetically manipulated to be able to express the CAR receptor and co-stimulating factors and, finally, expanded. After 4 weeks, the engineered lymphocytes will return as drug to the CSE Processing laboratory to be reinfused to the patient.Results: At the end of the operative procedure a report is compiled. The report is issued by the laboratory and contains all the information of interest to the clinician.Conclusions: The purpose of my annual experience as a graduate student was to describe the role of the CSE Processing laboratory within the drug production chain. Being experimental and extremely innovative, T-cell-based gene therapy cannot be considered a routine practice. The centers authorized to administer the CAR-T are identified by the Regions and must possess specific organizational and infrastructural requirements. Even the manufacturers of CAR-T therapies have a qualification path that involves inspection by the company's monitors and a final audit. The Processing laboratory, together with the Apheretic collection laboratory, Pharmacy and Hematology, obtained the qualification of "European site Qualified for KYMRIAH® (tisagenlecleucel) and YESCARTA® (axicabtagene ciloleucel)" in 2021.
Role of physiotherapist in the pediatric obesity: pooled experiences
Authors: Prosperi A. , Dagna C. , Mattiazzi E. , Bolgeo T. , Viazzi F. , Polverelli M. , Maconi A.
Published: April 2022

Objectives: To study the problem of pediatric obesity and the engagement of Italian physiotherapists, laying the foundations for a future health education project of the Specialist Interest Group (GIS) PEDIATRIC PHYSIOTHERAPY AIFI.Methodology: Administration of an insight survey/questionnaire to the Pediatric GIS Group.Results: 95.7% of respondents have never taken part in projects dedicated to pediatric obesity. Three experiences emerged, but only two respondents became available for the interview. 94.4% of the operators considered useful the physiotherapist's contribution to the healthcare problem and 82.2% of them expressed a real interest in the subject.Conclusions: Physiotherapists should play an active role in planning interventions aimed at promoting and supporting correct lifestyles from early childhood to young adulthood, starting even sooner during the prenatal and perinatal periods. This study confirmed the awareness and feeling of Italian pediatric physiotherapists towards the issue: The bases are therefore laid for future involvement of pediatric GIS in educational projects for the prevention of pediatric obesity.
Communication as a governance tool
Authors: Dacquino Mariateresa , Como Mariasilvia , Bovo Emanuela , Viazzi Federica , Maconi Antonio
Published: April 2022

Communication is a fundamental infrastructure for a public establishment; it represents element for relationship’s creations and it plays an essential role in the creation and reinforcement of the indispensable relationship of mutual trust between citizens and institution. Communication allows information exchanges and it allows the ad- ministrative actions exercise (to decide, coordinate, regulate and govern): so it is considered a governance tool. Therefore, the hospital has started a path of internal and external communication with specific brand reputation actions, also in the awareness of the important historical moment that the institution is going through, both in terms of changing its structure and in the pandemic context.
Special cube complexes revisited: a quasi-median generalization
Authors: Genevois Anthony
Published: April 2022

In this article, we generalize Haglund and Wise’s theory of special cube complexes to groups acting on quasi-median graphs. More precisely, we define special actions on quasi-median graphs, and we show that a group which acts specially on a quasi-median graph with finitely many orbits of vertices must embed as a virtual retract into a graph product of finite extensions of clique-stabilizers. In the second part of the article, we apply the theory to fundamental groups of some graphs of groups calledright-angled graphs of groups.
Conservative Management of Liver Echinococcal Cysts in Pregnant Women: Single Center Experience in Pavia, Italy
Authors: Lissandrin Raffaella , Vola Ambra , Mariconti Mara , Filice Carlo , Manciulli Tommaso , Tamarozzi Francesca , Brunetti Enrico
Published: April 2022

Human cystic echinococcosis (CE) in pregnancy is rarely reported, with approximately one case of CE for every 20,000 to 30,000 pregnant women in endemic areas. Little information on its management is available. We report our experience with a watch and wait approach in this group of patients. We retrieved clinical data from pregnant patients with hepatic CE seen at our clinic from 1989 to 2021. All patients had at least one hepatic CE cyst and received no treatment during pregnancy. Ultrasound was used to monitor cyst evolution; outcome and complications of pregnancy and echinococcal infection were evaluated. Twelve patients with 15 pregnancies were included in this study. At the time of pregnancy, nine patients had a single cyst and two patients had multiple hepatic CE cysts. Cysts were in stage CE3a, CE3b, CE4, and CE5, according to the WHO Informal Working Group on Echinococcosis classification. All cysts except one remained stable in stage and size during and after pregnancy. In one patient with a history of multiple treatments with albendazole and with a CE4 cyst at the start of pregnancy, reactivation of the cyst during pregnancy was observed. All pregnancies except three had eutocic delivery. Cesarean sections were performed for reasons unrelated to CE. In our experience, “watch and wait” in pregnant women with uncomplicated transitional and inactive CE of the liver was a safe option in a small cohort of patients. Pooled data from other referral centers, including cases with CE1 and CE2 cysts, are needed to confirm the safety of this approach.
Molecular Characterization of Rickettsial Agents in Ticks (Acari: Ixodidae) from Sri Lanka
Authors: Dasch Gregory A. , Eremeeva Marina E. , Zambrano Maria L. , Premaratna Ranjan , Kularatne S. A. M. , Jayanthe Rajapakse R. P. V.
Published: April 2022

Because the majority of spotted fever group rickettsiae are transmitted to humans by tick bites, it is important to understand which ticks might play a role in transmission of rickettsial pathogens in Sri Lanka. The purpose of our study was to conduct molecular surveillance of 847 ticks collected in different locations in central Sri Lanka to determine which were infected with Rickettsia and Anaplasmataceae. Molecular methods were used to identify the ticks and the agents detected. Most ticks (Amblyomma, Haemaphysalis, and Rhipicephalus) were collected by flagging, and lower number was collected from dogs, cattle, pigs, a pangolin, and tortoises. Five spotted fever genotypes were identified: a Rickettsia africae-like agent in Amblyomma larvae, Rhipicephalus massiliae and a related genotype identified in association with the tropical type of Rhipicephalus sanguineus from dogs and Rhipicephalus haemaphysaloides from dogs and cattle, and Candidatus R. kellyi and another novel genotype (SL94) in R. haemaphysaloides. Twenty-three ticks were positive for Anaplasmataceae, including one Anaplasma and two Ehrlichia genotypes. Because the sequence database for both ticks and rickettsial agents from Sri Lanka and southern India is not extensive, additional molecular characterization of the tick species of Sri Lanka and their rickettsial agents is required to understand their pathogenic potential more completely. However, several of the agents we identified in this survey may well be pathogenic for humans and domestic animals, and should be considered as a part of epidemiological surveillance and patient management.
Facemask Usage Among Pedestrians in Most Crowded Urban Districts of Kabul, Afghanistan, During the Third COVID-19 Wave: An Observational Study
Authors: Nemat Arash , Asady Abdullah , Ataye Ahmad Wali , Danishmand Tamim Jan , Essar Mohammad Yasir , Raufi Nahid
Published: April 2022

COVID-19 has spread worldwide since its emergence from Wuhan. In countries with a low vaccination rate, the use of facemasks is essential to limit the risk of COVID-19 transmission. We have conducted this study in June 2021 to estimate the prevalence of facemask usage, and investigate the use of different types of facemasks and their distribution among pedestrians in the most crowded urban districts of Kabul during the third COVID-19 wave in Afghanistan. Using a multistage sampling method, a total of 5,000 pedestrians were selected from five most crowded urban districts of the city. The data was gathered by an observational method. The percentage, mean, and standard deviation were used to describe the variables. The χ2 test analysis was used to assess the relationship between two categorical variables. Of the 5,000 observations, the most common age group was 10–39 years with high participation of male (87.2%). A total of 2,013 (40.3%) people used facemasks (95% CI). Females used facemasks significantly more than males (64.6% versus 36.7%, P < 0.001). Among the pedestrians who used a facemask, most of them (88.6%) wore their facemask correctly. In conclusion, the prevalence of facemask use in Kabul was fairly low especially among elderly people (≥ 60 years). Hence, the observed rates probably cannot protect the community against COVID-19. Therefore, it is important to emphasize the public health recommendations via educational programs and national campaigns to support the strict use of facemasks in public places.