bluuebunny/crossref_metadata_2025 huggingface dataset:
“Depression, Anxiety and Stress among Nurses during Corona Lockdown in a Selected Teaching Hospital, Kaski, Nepal"
Authors: Silwal Muna , Koirala Dipti , Koirala Sabita , Lamichhane Anju
Published: October 2020

Introduction: Mental health is as important as physical health to respond to COVID-19 pandemic. This pandemic has increased social isolation and fear regarding health and well-being as well as a dilemma which can lead to mental health problems among general people and health workers.Thus the main objective of this study was to assess the prevalence and factors associated with depression, anxiety and stress among nurses working in a hospital of Nepal during the period of Corona lockdown.

Methods: A cross-sectional study was carried out among 152 nurses working at Gandaki Medical College Teaching Hospital and Research Centre of Kaski district of Nepal. Data were collected using a structured self-administered questionnaire consisting of socio-demographic items and Depression, Anxiety and Stress Scale (DASS-42) scale from 11 April to 18 April, 2020. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 22 applying descriptive statistics and inferential statistical method.

Results: Respondent's mean age and SD was 24.09 + 3.19 years. The sample mean score of DASS-42 was 29.46 (SD 25.37). Depression, anxiety and stress were prevalent among 39.5%, 50% and 25.7% of the respondents respectively. There was significant association of depression with education level (χ2 =6.597; p=0.01) and working unit (χ2 =8.187; p=0.004). Anxiety was significantly associated with working unit (χ2 =6.973; p=0.008) and children status (χ2 =4.199; p=0.040). Stress was significantly associated with age (χ2 =4.906; p=0.027), working unit (χ2 =4.984; p=0.026) and children status (χ2 =5.653; p=0.017).

Conclusion: Based on findings, it can be concluded that some degree of depression, anxiety and stress were prevalent among nurses during COVID-19 pandemic. Further assessment should be made to confirm the respective diagnoses. Stress and anxiety relieving sessions and psychological support programs may help for the nurses with higher than cut-offs.
Thamoma, a new genus for Miltochrista vetusta Piepers & Snellen, 1904 from Java (Lepidoptera, Erebidae, Arctiinae)
Authors: Volynkin Anton V.
Published: October 2020

The new genus Thamoma Volynkin, gen. nov. is erected for Miltochrista vetusta Piepers & Snellen, 1904 from Java. The new genus is closely related to the genera Cyme Felder, 1861 and Ammatho Walker, 1855, but differs from them by the complex of characters in male and female genitalia.
The Effects of Multiple Swirl Generator Inlets Circumferential Distribution to a Liquid Fuelled Ultra-High Swirl Flameless Combustion Characteristics
Authors: Kasani Adam , Abdul Wahid Mazlan , Ghazali Ahmad Dairobi , Abdulrahman Mohammed Bashir
Published: October 2020

This paper presents the experimental results of a simple cylindrical shaped, liquid fuelled flameless combustor which utilizes ultra-high swirl flow in the combustion process. 4 different swirl generator inlet configurations were tested in this work. Ethanol fuel were used during flameless mode. The experiments were conducted at equivalence ratio (F=1), with the flow rate of fuel set at 4.48*104 kg/s, and flow rate of air at 3.854*103 kg/s. The results revealed that by using all 12 tangential air inlets (swirl generator injectors), the swirl strength was reduced through evenly distributing the position of the injectors circumferentially. As a result, the combustor successfully suppressed the emission of NOx and CO to zero ppm for both gasses. It was also reported that flameless mode was established in all configurations, regardless of the swirl strength.
Differential Attainment in Leadership Roles in the UK NHS
Authors: Sait Saif , Nayar Vijay , Chauhan Dev , Rao Sahana , Menon Geeta
Published: October 2020

Aim – to review the evidence on differential attainment in leadership positions in the NHS and develop an expert consensus

In this review we will explore in-depth, the current data surrounding differential attainment in leadership roles in the UK NHS, possible reasons for these disparities, and what interventions may address this inequality. This scoping review forms part of the Alliance for Equality in Healthcare Professions project on DA chaired by the British Association of Physicians of Indian Origin (BAPIO) and will be integrated into the Bridging the Gap project undertaken by BAPIO Institute for Health Research (BIHR).
Flare Statistics for Young Stars from a Convolutional Neural Network Analysis of TESS Data
Authors: Feinstein Adina D. , Montet Benjamin T. , Ansdell Megan , Nord Brian , Bean Jacob L. , Günther Maximilian N. , Gully-Santiago Michael A. , Schlieder Joshua E.
Published: October 2020

All-sky photometric time-series missions have allowed for the monitoring of thousands of young (t
age < 800 Myr) stars in order to understand the evolution of stellar activity. Here, we developed a convolutional neural network (CNN), stella, specifically trained to find flares in Transiting Exoplanet Survey Satellite (TESS) short-cadence data. We applied the network to 3200 young stars in order to evaluate flare rates as a function of age and spectral type. The CNN takes a few seconds to identify flares on a single light curve. We also measured rotation periods for 1500 of our targets and find that flares of all amplitudes are present across all spot phases, suggesting high spot coverage across the entire surface. Additionally, flare rates and amplitudes decrease for stars t
age > 50 Myr across all temperatures T
eff ≥ 4000 K, while stars from 2300 ≤ T
eff < 4000 K show no evolution across 800 Myr. Stars of T
eff ≤ 4000 K also show higher flare rates and amplitudes across all ages. We investigate the effects of high flare rates on photoevaporative atmospheric mass loss for young planets. In the presence of flares, planets lose 4%–7% more atmosphere over the first 1 Gyr. stella is an open-source Python toolkit hosted on GitHub and PyPI.
MHA Herbarium: Eastern European collections of vascular plants
Authors: Seregin Alexey , Stepanova Nina
Published: October 2020

World herbaria with 387.5M specimens (Thiers 2019) are being rapidly digitised. At least 79.9M plant specimens (20.6%) are already databased throughout the globe in the standard form of GBIF-mediated data. The contribution of smaller herbaria has been steadily growing over the last few years due to cost reduction, usage of platforms and solutions developed by the leaders. A web-resource the Moscow Digital Herbarium (Seregin 2020b) was launched by the Lomonosov Moscow State University in October, 2016 for publication of specimens imaged and databased in the Moscow University Herbarium (MW). As of 31 December 2018, the web-portal included 968,031 images of 971,732 specimens digitised in MW. This dataset is available in GBIF (Seregin 2020). The global trend is largely the same in Russia, where a dozen herbaria started to scan their holdings after imaging of the nation’s second largest herbarium (Kislov et al. 2017, Kovtonyuk et al. 2019, Seregin 2020a). In 2019, we started to use Moscow Digital Herbarium as a web-repository for digitised herbarium specimens from some Russian collections, starting with the Herbarium of Tsitsin Main Botanical Gaden, Russian Academy of Sciences (MHA). Due to this, a single-university system became a multi-institutional consortium in April 2019 (Seregin 2020a). The dataset of the Moscow collections and partly of the Eastern European collections of the MHA Herbarium is now available in GBIF (Seregin and Stepanova 2020).

MHA Herbarium imaged 64,008 specimens from Moscow Region and partly from other regions of Eastern Europe at 600 dpi and provided key metadata. These data are now fully available in the Moscow Digital Herbarium and GBIF. Complete georeferencing of the specimens from the City of Moscow was a key task in 2020. As of May 2020, 50,324 specimens, including 49,732 specimens from Russia, have been georeferenced (78.6%) and 39,448 specimens have fully-captured label transcriptions (61.6%). Based on these data, we give a detailed overview of the collections including spatial, temporal and taxonomic description of the dataset.
Bulgarian species of genus Astragalus as potential sources of mauritianin
Authors: Shkondrov Aleksandar , Krasteva Ilina , Kozuharova Ekaterina , Zdraveva Petranka , Savev Slavcho
Published: October 2020

Mauritianin is a relatively rare flavonoid, but several studies revealed its pharmacological potential. In this study overground parts of ten Astragalus species were investigated for mauritianin content to find a reliable source of the compound. The quantity of the flavonoid in each extract was determined by a novel high performance liquid chromatography-high resolution mass spectrometry method. For the first time mauritianin is reported in A. cicer, A. onobrychis, A. glycyphyllos, A. glycyphylloides, A. corniculatus and A. ponticus. Only in A. depressus the compound was not found. Significant differences in mauritianin content (from 4 to 1642 ng/mg dry weight) of the samples were observed. Noteworthy, A. onobrychis var. chlorocarpus and A. cicer could be considered as a potential source of the compound, substituting the rare A. monspessulanus subsp. monspessulanus.
The role of immunostimulants in the complex therapy of Covid 19 – a clinical case
Authors: Kobakova Yozlem Ali , Moneva-Sakelarieva Maria , Atanasov Petar , Ivanova Stefka , Obreshkova Danka
Published: October 2020

The aim of current study was the investigation of complex treatment including nutritional supplement with recognized antioxidant and immunomodulatory properties (malic, glycyrrhizic, ascorbic and folic acids, glucosamine, arginine, glycine, calcium pantothenate, cyanocobalamine, zinc sulfate, pyridoxal) and purely plant systemic protease supplement (Serrapeptase, Bromelaim, Boswellia, Uncaria tomentosa, Quercetin) as a strategy against Covid 19. A clinical case of a 33-year-old patient treated in Internal Clinic Diseases ”Pirogov” against atypical bilaterally viral pneumonia with RT-PCR proven coronavirus have been presented. A complex treatment strategy was applied: Doxycycline, Amikacin sulfate, food additive containing malic and glycyrhizic acids, aminoacids, B-vitamins, antioxidants, proteolytic agent, Methylprednisolone, anticoagulant: Nadroparin calcium, hepatoprotector: Ademethionine. After 16 days hospitalization and two negative RT-PCR tests the patient was discharged in improved condition and home treatment with Levofloxacin hemihydrate, vitamins, probiotics, immunomodulatory and proteolytic products for one month was recommended. Immunostimulating, proteolytic and other products have an important role in complex treatment.
Optimizing Effective Communication While Wearing a Mask During the COVID-19 Pandemic
Authors: Knollman-Porter Kelly , Burshnic Vanessa L.
Published: October 2020

Mandated face mask use for health care providers, secondary to COVID-19, creates an additional communication barrier for older adults with cognitive, communication, and/or hearing challenges. Face masks can soften a speaker's voice, conceal vocal tone, and hide facial expressions that relay essential non-verbal information. An inability to understand health care information or words of support can lead to frustration, anxiety, and decreased quality of life. Therefore, the purpose of this article is to review the current research, provide clinical examples, and highlight communication strategies, supports (i.e., written, gestural, and picture supports), and modifications to personal protective equipment that health care providers can implement, in isolation or combined, to improve communication with older adults. [
Journal of Gerontological Nursing, 46
(11), 7–11.]
The Use of Storytelling With Grief Reactions in Children During the COVID-19 Pandemic
Authors: Sullivan Mary A.
Published: October 2020

Children are living through the COVID-19 pandemic and the traumatic changes the virus has had on the structure and schedule of their daily existence. They are struggling to cope with the loss of the normalcy of their lives and the resulting sense of grief. As the loneliness and isolation required by social distancing can worsen grief, it is important to increase communication with children and include strategies to reduce stress and increase resilience. Storytelling is the oldest form of teaching and has multiple benefits, including identifying emotional states, developing a vocabulary to allow self-advocacy, encouraging the use of strategy, and promoting a sense of hope. In addition, models of positive psychological attitude can diminish anxiety and divert attention to a more productive and positive outlook. Stories are powerful tools and convey thoughts, ideas, and values while encouraging purposeful discussion. For children, hearing stories is a rich avenue to gain insight, resources, and approaches to cope with these unprecedented times. It would be helpful to explore the long-term effects on children of COVID-19–related confinement and loss. [
Journal of Psychosocial Nursing and Mental Health Services, 59
(2), 13–15.]
Nudges to Support Health and Wellness for Individuals Served by Behavioral Health Programs
Authors: Nemec Patricia B. , Swarbrick Margaret , Spagnolo Amy , Brandow Crystal L.
Published: October 2020

Individuals served by behavioral health programs experience risk factors that threaten health and longevity. Health behavior changes may be supported through environmental modifications known as
nudges
. The current review (a) examines the potential value of nudges for helping individuals receiving services from behavioral health programs, and (b) offers physical and social environment strategies to support positive health behaviors. The authors discuss literature related to nudges and environmental influences on health behaviors. The research related to nudges supports the potential value of this framework for nurses in behavioral health settings, who are in a strong position to help address health and wellness concerns disproportionately experienced by individuals in behavioral health programs. [
Journal of Psychosocial Nursing and Mental Health Services, 59
(1), 21–28.]
On the graph connectivity and the variable sum exdeg index
Authors: Du Jianwei , Sun Xiaoling
Published: October 2020

Topological indices are important descriptors which can be used to characterize the structural properties of organic molecules from different aspects. The variable sum exdeg index $SEI_{a}(G)$ of a graph $G$ is defined as $\sum _{u\in V(G)}d_{G}(u)a^{d_{G}(u)}$, where $d_{G}(u)$ is the degree of vertex $u$ and $a$ is an arbitrary positive real number different from 1. In this paper, we obtain the extremal values of the variable sum exdeg indices (for $a>1$) in terms of the number of cut edges, or the number of cut vertices, or the vertex connectivity, or the edge connectivity of a graph. Furthermore, the corresponding extremal graphs are characterized.
How Does the Digital Transformation Affect the Job of University Teachers?
Authors: Sghari Amira
Published: October 2020

The use of digital devices, which is exponentially growing among students, requires universities rethinking teaching practices. Digital acceleration in the field of higher education is very important especially with the appearance of modular object-oriented dynamic learning environment, massive open online course, and small private online courses phenomena. Thus, digital pedagogy transforms the required digital skills of university teachers' teaching. Determining in detail the digital skills of university teachers was difficult. This chapter is based on some research works as well as on the repository of skills defined by the Virtual University of Tunis, which provides training of university teachers to enhance their e-skills. This theoretical chapter presents a synthesis of works dealing with the skills required by university teachers in a context of digital transformation. Such a synthesis will allow a good preparation of training programs for university teachers.
Health Services Delivery and Satisfaction
Authors: Altan Fatih , Ekiyor Aykut , Unalan Demet
Published: October 2020

Health services include the services provided to prevent the occurrence of diseases and disabilities, to ensure that the sick and disabled are restored to their former health, and to those who cannot regain their health, to adapt to the environment. As an essential element of the health system, health services appear as an important factor in raising the health level of the society. Reforms in health systems worldwide have been carried out to increase the health level of the community and improve the quality of health services. Satisfaction is one of the critical determinants of quality in health services. It is possible to mention many factors that affect satisfaction in health services. However, in the literature, it is emphasized that health personnel-patient interaction, trust in a health institution, the fee of service received, physical facilities of the health institution, and nutrition services affect satisfaction.
Relationship Between Innovation, Human Capital, Institutions, Entrepreneurship, and Economic Growth
Authors: Martín Miguel-Angel Galindo , Castaño María-Soledad , Picazo María Teresa Méndez
Published: October 2020

There is important literature that analyzes the relationship between entrepreneurship and economic growth. But it is also essential to consider the variables that influence entrepreneurship. In this sense, innovations, institutions, and human capital would be the main variables to consider, as they allow the entrepreneur to create new products, make them more competitive, or access new markets. At the same time, entrepreneurs establish the legal framework and the social climate to develop its activity, so innovations are generated and assimilated. But it is also essential to consider the degree of development and economic growth that countries present.
Transforming Urban Slums
Authors: Cordes Darrold Laurence , Wongthongtham Pornpit , Morrison Greg
Published: October 2020

Cities in developing countries are increasingly under stress through urbanization, which leads to the expansion of slum areas or informal settlements due to demand for low-cost housing. This chapter presents the social, environmental, and economic realities facing slum dwellers and discusses their redevelopment into intelligent cities. The concept of ‘function accompanying intelligent' is introduced for the transformation of slums to functional intelligent cities. In this context, a city is intelligent if it serves both the functional and social needs of its entire population. The chapter overviews an approach to integrated data collection, data analytics, and user access to information. Geospatial analysis of demographic, economic, social, and environmental data is introduced to help delineate slums, and to monitor the outcomes of urban planning initiatives and the progress of social wellbeing. The city of Accra in Ghana is discussed as a potential slum city to functional intelligent city transformation.
Internet of Things Application for Intelligent Cities
Authors: Abbass Wissam , Baina Amine , Bellafkih Mostafa
Published: October 2020

The rapid growth of the world's population is placing a huge strain on the existing infrastructures. As a quest for accommodating this growth, interest is turned to the internet of things (IoT). In fact, the IoT is significantly improving today's quality of life by innovating the provided services and enhancing communication and interaction. Furthermore, it has also empowered real-time decision making by introducing dynamic services for innovative traffic handling, energy-efficient infrastructure saving, and public safety ensuring. However, IoT applications for smart cities is still a major issue as it lacks assuring privacy and security within provided services. In this chapter, the authors pinpoint IoT's security risk assessment challenges and examine its critical influence on smart cities. Additionally, they highlight the key aspects characterizing a smart city which also represent the critical assets requiring security risk assessment. Moreover, they discuss the resulting issues and their related countermeasures.
A Machine Learning-Based Cyber Defence System for an Intelligent City
Authors: Piconi Jared , Maruatona Omaru , Ng Alex , Kayes A. S. M. , Watters Paul A.
Published: October 2020

In 2017, a Price Waterhouse report on intelligent cities advised that technology would be a key enabler for efficient management of resources for overpopulated cities. The increased reliance on technology to drive daily lives of people is the main reason why many believe that smart technology is a major part of intelligent cities. By design, intelligent cities are heavily reliant on connected devices. Consequently, reliance on technology poses the risk that any disruption of technology-based services may put human lives in danger. In this context, attacks on technological frameworks can mean attacks on the entire city. Unfortunately, there is no existing technology that is able to successfully defend against such cyberattacks. In this research, the authors review the concepts, principles, and technologies, and propose an approach for a cyber defence system, based on artificial intelligence and machine learning, to detect and prevent an integrated cyberattack.
Hybrid Intrusion Detection System for Smart Home Applications
Authors: Hussain Fida , Induruwa Abhaya , Qi Man
Published: October 2020

Smart homes, which incorporate IoT technologies to provide home security, efficient environmental services, conveniences, and improved living standards, are becoming the centre of smart urban developments. With the increased inter-connectivity of smart objects and sensors, there is now, also, an increased level of cyber threats, which can compromise privacy and security. These threats either modify packets of information or inject modified packets into the networks. This chapter examines current intrusion detection systems (IDSs) and presents a unique solution to overcome intrusion detection challenges. It discusses the implementation of smart home IDS (SHIDS), using a machine learning based signature and anomaly intrusion detection scheme to detect network intrusions in the smart home. Suggested mechanism is based on naïve Bayes technique to improve the detection performance. The performance of SHIDS has been tested with network intrusions resulting from DoS, probe, remote-to-local (R2L), and user-to-root (U2R) attacks.
Google Stock Movement
Authors: Sethi Nishu , Bajaj Shalini Bhaskar , Verma Jitendra Kumar , Shrivastava Utpal
Published: October 2020

Human beings tend to make predictions about future events irrespective of probability of occurrence. We are fascinated to solve puzzles and patterns. One such area which intrigues many, full of complexity and unpredicted behavior, is the stock market. For the last decade or so, we have been trying to find patterns and understand the behavior of the stock market with the help of robust computation systems and new approaches to extract and analyze the huge amount of data. In this chapter, the authors have tried to understand stock price movement using a long short-term memory (LSTM) network and predict future behavior of stock price.
Internet of Things (IoT) in Agriculture
Authors: Kurni Muralidhar , K. Somasena Reddy
Published: October 2020

Connected devices have access to every part of our lives with the increasing implementation of the internet of things (IoT), from home automation, health and fitness, automobile, logistics, to smart cities, and industrial IoT. Therefore, it is only natural that IoT, connected devices, and automation find their application in agriculture, and as such, greatly enhance almost every facet of it. In recent decades, farming has undergone a variety of technological changes, becoming more industrialized and powered by technology. Farmers have gained effective control and efficiency over the process of raising livestock and growing crops through the use of various smart farming devices. Within this chapter, the authors discuss and analyze the advantages of using IoT within agriculture. They present the IoT system architecture to allow smart farming. This chapter also covers the advantages of integrating the blockchain into the agricultural field. Case studies are included in the end for your reference.
How Language Use “Translates” Women
Authors: Ciolăneanu Roxana
Published: October 2020

The chapter focuses on how language use mirrors the way people think and act. An interdisciplinary perspective will be used in the attempt to cross-fertilize insights form critical discourse approach and cognitive linguistics that will hopefully contribute to a better understanding of how the language employed conveys stereotyped ideas and metaphors that pervade (many times unconsciously) people's way of talking. Proverbs, taken as language samples potentially revelatory of some cognitive bases of the way people have been thinking and talking about women throughout time, will be analyzed. The idea that gender is socially and discursively constructed will be thus reinforced. Implicit stereotyping, a concept borrowed from social psychology, will be employed to demonstrate that unconscious exposure to stereotyped knowledge influences people's judgements and relations with other social categories. It will be equated to what is called cognitive metaphor in cognitive linguistics and ideology in critical discourse studies.
Deconstructing Stereotypes in the Discourse of the Irish Republic
Authors: Armie Madalina
Published: October 2020

Recent decades have witnessed in Ireland the advancement and integration of women in the socio-cultural and public spheres. Nonetheless, what does it mean to be Irish and a woman in today's Irish Republic? This period has seen a notable emergence of a generation of new feminine voices that have marked a change in the image offered of the Irish woman until this present moment, an image provided previously almost only by male writers and constructed mainly in terms of religiosity, passivity and motherhood. The short stories written by women at the turn of the 21st century highlight the change in both the perception and position of the Irish woman within her society; however, the Celtic Tiger and Post Celtic Tiger short stories frequently look back into Ireland's past to explore the present to challenge and understand former and contemporary dominant narratives, discourses and stereotypes. This is also the major objective of this chapter.
Enhancing the Diamond Document Warehouse Model
Authors: Azabou Maha , Banjar Ameen , Feki Jamel Omar
Published: October 2020

The data warehouse community has paid particular attention to the document warehouse (DocW) paradigm during the last two decades. However, some important issues related to the semantics are still pending and therefore need a deep research investigation. Indeed, the semantic exploitation of the DocW is not yet mature despite it representing a main concern for decision-makers. This paper aims to enhancing the multidimensional model called Diamond Document Warehouse Model with semantics aspects; in particular, it suggests semantic OLAP (on-line analytical processing) operators for querying the DocW.
The Model-Driven Architecture for the Trajectory Data Warehouse Modeling
Authors: Azaiez Noura , Akaichi Jalel
Published: October 2020

Business Intelligence includes the concept of data warehousing to support decision making. As the ETL process presents the core of the warehousing technology, it is responsible for pulling data out of the source systems and placing it into a data warehouse. Given the technology development in the field of geographical information systems, pervasive systems, and the positioning systems, the traditional warehouse features become unable to handle the mobility aspect integrated in the warehousing chain. Therefore, the trajectory or the mobility data gathered from the mobile object movements have to be managed through what is called the trajectory ELT. For this purpose, the authors emphasize the power of the model-driven architecture approach to achieve the whole transformation task, in this case transforming trajectory data source model that describes the resulting trajectories into trajectory data mart models. The authors illustrate the proposed approach with an epilepsy patient state case study.
Recommender Systems Based on Resonance Relationship of Criteria With Choquet Operation
Authors: Huynh Hiep Xuan , Son Le Hoang , Cu Giap Nguyen , Huynh Tri Minh , Luong Huong Hoang
Published: October 2020

Recommender systems are becoming increasingly important in every aspect of life for the diverse needs of users. One of the main goals of the recommender system is to make decisions based on criteria. It is thus important to have a reasonable solution that is consistent with user requirements and characteristics of the stored data. This paper proposes a novel recommendation method based on the resonance relationship of user criteria with Choquet Operation for building a decision-making model. It has been evaluated on the multirecsys tool based on R language. Outputs from the proposed model are effective and reliable through the experiments. It can be applied in appropriate contexts to improve efficiency and minimize the limitations of the current recommender systems.
Mutation Testing and Its Analysis on Web Applications for Defect Prevention and Performance Improvement
Authors: Suguna Mallika S.  , Rajya Lakshmi D.
Published: October 2020

The society's increasing reliance on web applications with the growing online market and digitization of almost every service, there is an increasing demand for better reliability, security, and interoperability of web applications. Testing becomes an integral part of improving this reliability on web applications. Despite the innumerable number of tools, techniques, methods for testing web applications, there is still scope for expansion in the code coverage of web applications. Mutation testing with its expansive potential to expose vulnerabilities of web applications took a backseat owing to its exhaustive testing cycles. Some mutation operators related to security, performance, and other non-functional attributes of web applications are presented in the current work. In the current work, a thorough analysis of various mutations operators proposed by authors towards the non-existent operators thus far is presented. An augment of 47% of operators occurred in the present work. A concise discussion on the scope of work future direction of work is presented.
An Evaluation of Employees' Competence Towards the Development of a Learning Organization
Authors: Patro Chandra Sekhar
Published: October 2020

Organizations that focus on the development of employees' competence and shed light on the future are those with learning capacity and enthusiasm. Learning organizations encourage self-organization and are an indispensable part of the innovative process, which is also an integral part of creating an environment that facilitates evolutionary sustainability. It is essential for the employees to be open to innovation and learning in order to increase service quality and bring the implication of being a learning organization to the foreground. The study focuses on appraising the employees in building their capabilities and enhancing leadership skills towards the development of learning organization. The results reveal that the factors, communication, motivation, achievement, and adaptability, show significant relation with the employees' capabilities and leadership skills, and also on the overall performance of managers towards the achievement of organizational goals. The findings of the study will facilitate the management to build strategies in enhancing employees' competence.
Guidelines for Selecting Appropriate Knowledge Management System Implementation Frameworks
Authors: Maramba George , Smuts Hanlie
Published: October 2020

The preservation of knowledge is a universal requirement for every organisation that strives to gain a competitive advantage. Knowledge management systems are a modern business enabler and driver of success. Furthermore, the implementation of knowledge management systems is a comprehensive process which integrates people, business processes, the business universe, technology, and customers. However, some evidence suggests that organisations are investing a multiplicity of resources in implementing knowledge management systems with little success. Therefore, the aim of this study is to identify and understand the types of frameworks available for implementing knowledge management systems and present a comprehensive implementation framework including the relevant critical success factors and measurement tools that organisations may use for implementing knowledge management system projects. The successful implementation of knowledge management systems lie in the adoption of a suitable strategy and well-defined framework.
Open Data Services in the Library
Authors: Zhang Qi , Zhang Chunjing , Zhang Zheyu
Published: October 2020

The opening and sharing of data are gaining momentum in the era of big data. Libraries have been actively involved in the research and practice of open data. At present, the related research in Chinese libraries is still in progress, which mainly focuses on the introduction of the abroad practices, or on the construction of open data platforms. This paper introduces and analyzes the Shanghai library open data service and provides a useful reference for the open data service of Libraries in China. For the future development of the Shanghai library open data services, this paper puts forward some measures and suggestions that include metadata work, website construction, legal protection, and developer community training.
Tongwei County Library
Authors: Wang Weiping , Wei Zhipeng
Published: October 2020

Through the cooperation with the Evergreen Education Foundation in the United States, the Tongwei rural library network has been set up and a cooperation service alliance between a public library and school libraries has been built; using project funding by Evergreen, it reached out to the local communities, and meanwhile, it carried out small projects to enhance its service capacity. Through participation in the Evergreen-sponsored international conferences, training, and projects, librarians have improved their service capabilities and sharpened their awareness of library services. Based on the local cultural characteristics and user needs, and funded by a grant from Hangzhou Library Foundation, Tongwei County Library has established a reading room as a space where people can read calligraphy and painting materials. In addition, it carried out special collections services, shot the documentary film “Autumn Story,” and held “Tongwei impression.” It is the first county library to achieve management automation, and the national-level library in the fifth national public library assessment.
Library Service Innovation Based on New Information Technology
Authors: Liu Congming , Dou Tianfang , Zhou Hong , Zhang Bei , Zhang Chengyu
Published: October 2020

The development of new information technologies changes and affects the services in libraries. In this article, taking the interactive experience space “Tsinghua Impression” as an example, the authors analyzed the application of many new technologies in the information resource construction and information service of library and explained how to use multimedia, touch screens, 3D, and other technologies to enhance collections and services. They probed the new information technologies to promote the service innovation of the library in order to provide reference for the service innovation of the university libraries.
An Analysis of the Key Success Factors for Multi-Owned Residential Developments in Gaborone
Authors: Kampamba Johnson , France Warona Rose
Published: October 2020

The purpose of this study was to identify, analyze, and interpret key success factors for multi-owned residential developments in Gaborone, Botswana. This was undertaken in order to recognize the specific factors that hinder the success of multi-residential projects and to subsequently develop a model to help developers succeed in these type of development projects. The findings revealed that seven factors were accepted as key to the success of multi-owned residential developments. These key factors are project manager's commitment to meet quality, cost and time, design team experience, contractor's experience, compliance with government laws and regulations, selecting suitable site, health and environmental safety, evaluating and determining the priority to the requirements of the project during procurement. The findings also revealed that the significance of these factors change during each phase of the development process. This paper extends the project success factors literature by identifying the KSFs for a chosen specific project being multi-owned residential developments.
Burnout Syndrome in Greek Doctors
Authors: Sfikas Stavros , Alikari Victoria , Kourti Freideriki-Eleni , Dafogianni Chrysoula
Published: October 2020

Doctors are in continuous interaction with patients which leads to burnout syndrome. The purpose of this study was to investigate the levels of burnout syndrome among doctors and the role of medical specialty. Doctors (N=214) of various specialties and positions from two public hospitals completed the Maslach burnout inventory (MBI) which measures the burnout syndrome and its dimensions. Demographic and professional data were recorded. Data were analyzed via the IBM SPSS Statistics Version 21. The significance level was set at 0.05%. The overall index in the provincial hospital ranged at 2.13 while in the university at 2.07 (p=0.65). No significant statistical differences were observed between two hospitals regarding the dimensions of MBI. Internists showed lower level of personal accomplishment (Mean: 3.86, p=0.015) compared to all other specialties (Mean: 4.22, p=0.015). There was no significant statistical difference in the overall rate of burnout syndrome among the two hospitals, which was low for both hospitals. The factor “specialty” had an important effect on burnout syndrome.
Morphological variation, species delimits, and phylogenetic relationships of four important Ipomoea species in Sri Lanka
Authors: Rathnayake P.G.R.G. , Salih R. , Wijesundara W.W.M.U.K. , Sumanarathne W.G.A.S. , Ranaweera L.T. , Jayarathne H.S.M. , Weebadde C.K. , Sooriyapathirana S.D.S.S.
Published: October 2020

Genus Ipomoea is the largest of the family Convolvulaceae. It is a highly diverse genus distributed all around the world. In Sri Lanka, 13 members have been identified in Ipomoea; however, most of them have not been morpho-genetically characterized. In the present study, we selected I. batatas, I. aquatica, I. nil, and I. pes-caprae for the assessment based on certain criteria viz., food security, leafy vegetable, emergent weed, and coastal conservation capabilities. The morphological variation, species delimits, and phylogenetic relationships among these four species were assessed. The DNA was extracted from young leaf samples using CTAB method and subjected to PCR using ITS and rbcL as markers. The PCR products were subjected to sequencing. The DNA sequences were analyzed, and phylogenetic trees were generated by using PAUP to define the species delimits, identify the speciation and evolutionarily relationships in comparison to the homologous Ipomoea sequences available in GenBank. The tuber bearing ability, flower colour, and leaf shape are the key morphological descriptors that can be used to delimit the selected species. Both rbcL and ITS markers could be used to identify the four species studied distinctively. However, among the two markers, ITS provides a greater variation to identify the four species and their evolutionary relationships. Thus, the present study provides a key platform with usable morphological traits and DNA barcoding markers to characterize all Ipomoea species in Sri Lanka.
Juvenile, but Not Adult, Mice Display Increased Myeloid Recruitment and Extracellular Matrix Remodeling during Respiratory Syncytial Virus Infection
Authors: Kellar Gerald G. , Reeves Stephen R. , Barrow Kaitlyn A. , Debley Jason S. , Wight Thomas N. , Ziegler Steven F.
Published: October 2020

Early life respiratory syncytial virus (RSV) infection has been linked to the onset of asthma. Despite this association, our knowledge of the progression of the initial viral infection is limited, and no safe or effective vaccine currently exists. Bronchioalveolar lavage, whole-lung cellular isolation, and gene expression analysis were performed on 3-wk- (juvenile) and 8-wk-old (adult) RSV-infected C57BL/6 mice to investigate age-related differences in immunologic responses; juvenile mice displayed a sustained myeloid infiltrate (including monocytes and neutrophils) with increased RNA expression of Ccl2, Ccl3, and Ccl4, when compared with adult mice, at 72 h postinfection. Juvenile mice demonstrated αSma expression (indicative of myofibroblast activity), increased hyaluronan deposition in the lung parenchyma (attributed to asthma progression), and a lack of CD64 upregulation on the surface of monocytes (which, in conjunction with serum amyloid P, is responsible for clearing residual hyaluronan and cellular debris). RSV infection of human airway epithelial cell, human lung fibroblast, and U937 monocyte cocultures (at air-liquid interface) displayed similar CCL expression and suggested matrix metalloproteinase-7 and MMP9 as possible extracellular matrix modifiers. These mouse data, in conjunction with our findings in human monocytes, suggest that the sustained influx of myeloid cells in the lungs of juvenile mice during acute RSV infection could potentiate extracellular matrix remodeling, facilitating conditions that support the development of asthma.
A Short History of a Controversial Diagnosis
Authors: Fortunato Alexandro , Giovanardi Guido , D'Angelo Valeria
Published: October 2020

This work retraces the history of gender identity, a construct which came to light at the end of the sixties, and whose path we will follow up until the present day. In detail, the work focuses on the situations in which a person – belonging to what is commonly known as the trans* world – lives with a lack of correspondence between assigned birth gender and actual gender experience. We will revisit the different diagnoses connected to gender variance – in childhood, adolescence and adulthood – that have been put forward, and examine the different diagnostic classifications that have been used up to now, in order to reach the discussion of this theme in a psychoanalytic field. We will highlight how, alongside pathologizing theories, the psychiatric and psychoanalytic fields have become enriched via theoretical and clinical knowledge that enhance and recognize the depth of the subjective experience of trans* people, without stopping therefore, at a simply reductive diagnosis.
L’archetipo del Sé e l’Ecobiopsicologia
Authors: Frigoli Diego
Published: October 2020

L’attuale psicoterapia del profondo, con i suoi differenti modelli, si sta confrontando con la turbolenza degli sviluppi delle neuroscienze, con la ricchezza emozionale determinata dalle moderne concezioni del trauma e dell’attaccamento e con l’opportunità di scambi mutuamente fecondi con tutta la gamma delle più recenti acquisizioni della fisica quantistica e della biologia evoluzionistica. Questi importanti mutamenti culturali impongono una sorta di revisione dei modelli di funzionamento psicoterapico perché, nel clima di convergenza che si va designando tra la psicoterapia del profondo, il tema dell’archetipico, le neuroscienze, e più in generale con la fisica quantistica e la biologia evoluzionistica, si stanno gettando le basi di una nuova cornice epistemologica della complessità – l’ecobiopsicologia – nella quale mente, cervello e natura fanno parte di un campo in-formativo originato dal campo Akashico. Oggi questa esigenza sistemico-complessa è sentita come una necessità che ci offre la visione di un mondo sempre meno topografico e sempre più olografico. In questa prospettiva i costrutti tradizionali quali l’inconscio, l’empatia, la somatizzazione, il conflitto, l’alexitimia ed altri dovrebbero essere integrati, tramite il simbolo e l’analogia vitale, con i concetti di cognizione, di archetipo, di immaginario, di in-formazione, affinché la psicoterapia non si limiti ad esplorare il complesso dell’Io ma aspiri a focalizzarsi sugli stati dissociati del Sé, recuperando così una visione più integrale del disagio del paziente.
Così fan tutti: ripensare l’infedeltà, Esther Perel
Authors: Dettori Francesco , Girelli Laura
Published: October 2020

Nel giugno del 2019 l’Area Progetto Coppia del centro SIPre di Milano ha organizzato una serata dal titolo Ripensare l’infedeltà. Riflessioni intorno al pensiero di Esther Perel, con l’obbiettivo di approfondire il lavoro di una figura rilevante nella clinica di coppia contemporanea. (...)
Imaging spectrum of pulmonary infections in renal transplant patients
Authors: Ahmad Zohra , Bagchi Soumita , Naranje Priyanka , Agarwal S K , Das Chandan J
Published: October 2020

In the post renal transplant setting, pulmonary infections comprise an important set of complications. Microbiological diagnosis although specific is often delayed and insensitive. Radiography is the most common and first imaging test for which patient is referred, however it is relatively insensitive. HRCT is a very useful imaging tool in the scenario where radiography is negative or inconclusive and high clinical suspicion for infection is present. HRCT features vary among the various pathogens and also depend on the level of immunocompromise. Certain HRCT findings are characteristic for specific pathogens and may help narrow diagnosis. In this review article , we will summarize the imaging findings of various pulmonary infections encountered in post renal transplant patients.
Ratios of internal doses deposited in different organs to the whole body when such organ is adopted as source of 18F-fluorodeoxyglucose, a Monte Carlo Geant4 study on a male medical internal radiation dose phantom
Authors: Bakkali Jaafar , Doudouh A , Biyi A , Bouyakhlef K , Sahel O , Benameur Y
Published: October 2020

In the present study, the last stable version of Monte Carlo Geant4 code known as Geant4.10.3 has been used for measuring internal dose ratios to the whole body for about 40 organs. This, by performing a Monte Carlo model of 18F-fluorodeoxyglucose (18F-FDG) inside different organs of medical internal radiation dose male phantom, mimics a human male adult of 70 kg. A dedicated Geant4 user code has been developed in the top of one offered by Geant4 Monte Carlo toolkit and so-called human phantom. Several Monte Carlo simulations have been carried out, and in each of them, we have taken up such organ as source of 18F-FDG with a small amount of radioactivity, evenly distributed across its volume, and we measure ratios of absorbed doses deposited in organs to the whole body. The results have shown that there are radiation dose contributions from surrounding organs and their gravities are so variable; some organs have near-local character; thus, almost all radiations are locally deposited, which generally do not affect surrounding ones mainly including adrenals, thyroid, clavicles, thymus, testes, bladder, pancreas, scapula and upper spine; whereas, it is not the case for many other organs in which radiation doses are deposited outside of their parent volumes. In addition, absorbed doses in some organs that have high-tissue weighting factors, namely colon, lungs, stomach, bladder, thyroid, and liver are seriously affected by radioactivity of surrounding muscle organs, the gravity of such affectation is mainly growth when a patient is identified as having hyperglycemia or undergoing a hard physical activity.