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This work aims to evaluate the influence of rheological properties of building materials on the bonding quality and ultimate tensile strength in the fused deposition modeling (FDM) process, through the investigation of parts printed by semi-crystalline and amorphous resins. Little information is currently available about the influence of the crystalline nature on FDM-printed part quality.

Semi-crystalline polyamide 12 and amorphous acrylonitrile butadiene styrene (ABS) were used to assess the influence of rheological properties on bonding quality and the tensile strength, by varying three important process parameters: materials, liquefier temperature and raster orientation. A fractography of both tensile and freeze-fractured samples was also investigated.

The rheological properties, mainly the melt viscosity, were found to have a significant influence on the bonding quality of fused filaments. Better bonding quality and higher tensile strength of FDM parts printed with semi-crystalline PA12, as compared with amorphous ABS, are suggested to be a result of higher initial sintering rates owing to the lower melt viscosity of PA12 at low shear rates. Near-full dense PA12 parts were obtained by FDM.

This project provides a variety of data and insight regarding the effect of materials properties on the mechanical performance of FDM-printed parts. The results showed that FDM technique allows the production of PA12 parts with adequate mechanical performance, overcoming the greatest limitation of a dependence on amorphous thermoplastics as a feedstock for the production of prototypes.

At what age should children and teenagers have access to certain subject materials and/or the adult collection in libraries? Parents, school teachers and administrators, organized and unorganized religious, politicians, and the judiciary are among those willing to expound on their firm conviction that certain materials and subjects are harmful to the young. There are also those who, although uncertain about the effect of certain materials and subjects, are willing to opt for restricting access for the young and to demand that librarians be responsible for policing such action. Librarians generally share these ambivalent feelings about library materials and access for children and young adults. Aware of the possible adverse reaction of adults if alleged controversial materials are placed either in the children's or the young adult collection, librarians often choose not to select such materials. A recent letter to American Libraries suggested that librarians place controversial children's or young adult material into adult collections only, thus avoiding confrontations with those adults concerned about “harmful” matter reaching minors. The writer stated that everyone would win; the material would be available, but objections based on access to the material by the young would be thwarted. The writer did not seem to anticipate problems in determining at what age the young person would be allowed access to the adult collection containing this material, nor was a method proposed for defining either controversial or noncontroversial material. However, the “way out” proposed is actually used by some public libraries in the U.S., although a cursory look at library problems over objections to library materials for the young reveals titles and subjects that would be classified as noncontroversial by many.

Web-based courses are a practical way to engage in meaningful discussions with learners from a diverse set of communities. By gathering online to learn about a topic, learners can form communities that transcend geographic and political boundaries. This paper aims to investigate a partnership between the University of Wisconsin-Madison (UW-Madison) and Wisconsin Library Services, which brought open access online learning to thousands of lifelong learners around the state of Wisconsin. “Changing Weather and Climate in the Great Lakes Region”, a massive open online course the UW-Madison launched in 2015, paired a regional focus with face-to-face discussions at 21 public libraries to deepen learners’ personal connections to the subject matter. Through strategic partnership, targeted course development and marketing of events, intimate local discussion sessions and statewide events provided fora in which Wisconsin residents would explore changing weather and climate with university faculty, staff and students.

This paper uses a case study approach and firsthand interview feedback from librarians, library staff and university faculty and staff who were leading the effort.

This paper explores the lessons learned and practical implications from the project and offers insight into libraries and universities looking to engage specific communities in non-credit online learning projects into the future.

This effort was a first of its kind partnership for the University and the State of Wisconsin.

The purpose of this paper is to discuss the role of psychosocial treatments to support families living with cardiovascular disease (CVD) and depression. The paper highlights that depression in people with CVD is a predictor of non-adherence to both medicines and cardiovascular rehabilitation programmes. The authors believe there is a clinical need to develop a programme of care to support the whole family to adhere to cardiovascular rehabilitation programmes.

A team of expert cardiovascular nurses, mental health nurses (MHN) and cardiologist clinical opinions and experiences. These opinions and experiences were supplemented by literature using MEDLINE as the primary database for papers published between December 2000 and December 2013.

People with CVD who become depressed are more likely to stop taking their medicine and stop working with their health care worker. Most people with heart and mood problems live with their families. Health workers could have a role in supporting families living with heart and mood problems to their care and treatment. The paper has highlighted the importance of working with families living with heart and mood problems to help them to stick with care and treatment.

Most people with heart and mood problems live with their families. The paper has highlighted the importance of working with families living with heart and mood problems to help them to persevere with care and treatment. MHN may have a role, though consideration should also be given to exploring the role of other health care workers and members of the community. As the population ages, clinicians and communities will need to consider the impact of depression on adherence when working with families living with CVD and depression.

This study aims to increase the understanding of the pregnancy-related information behavior (IB) of pregnant women in Estonia.

The research involved a quantitative research methodology consisting of a semi-structured questionnaire. Data was collected from pregnant Estonian women through a self-administered Web-based questionnaire using a convenience sampling during the period from January to February 2019. A total of 300 pregnant women answered the questionnaire. The data were analysed using statistical analysis and the results of the study were compared with the results of previous studies.

The three topics on which information was most frequently sought were: fetal development, use of medicines during pregnancy and symptoms of pregnancy. The main sources of information were the internet and the midwife. The most reliable and valuable source of information was a midwife. Health-related information was sought mainly because it helped women make decisions related to pregnancy and childbirth. A number of factors facilitate the information seeking process. In addition, widespread access to the internet and technological skills facilitated IB. The following factors hindered the search for information: the controversy and/or ambiguity of information published on the internet and the time spent searching for information. Most women used wearable technologies during pregnancy.

This study has several limitations. First, the weakness of online surveys is the potential lack of representativeness, as it excludes from the survey those who do not have access to or ability to use the internet for various reasons (Evans and Mathur, 2005; Limbu et al., 2021). Second, as most recruitment for the study took place online, there was a risk that those who did not use the internet could be excluded from the survey. Third, as the questionnaire was also shared in the Facebook news feed by the Women’s Clinic and Maternity Hospital of the East Tallinn Central Hospital, it may be that the respondents recruited through it more often used the support provided by medical professionals. Fourth, due to the volume limits of the study, it is not possible to present all the results of the study on the basis of socio-demographic characteristics and stage of pregnancy. Therefore, the findings cannot be generalized to the broader population and future studies should explore a larger and more representative populations.

This study will give some useful information to help to improve the services offered for pregnant women in Estonia.

The findings of this study may inform how to better support this target group.

There is a lack of research in Estonia that focuses on the IB of pregnant women and this research fills this gap.

Third-party logistic providers (3PLs) continuously strive for controlling and improving their performances to gain a competitive advantage. The challenging environment where they operate is affected by high variety in type and number of clients, the inventory mix and the demand profiles they have to meet. Consequently, better understanding the dynamics of warehousing operations and the characteristics of the inventory mix is critical to handle such a complexity.

This paper proposes a decision-support framework, suited for 3PL warehouse practitioners, that aids to design and implement effective and affordable activities for measuring and improving the warehousing performances. Such goal is pursued by the framework by leading the managers through an initial mapping and diagnosis of the system, then by developing a tailored measurement system to track the performance, paving the way to the identification of the criticalities and the potential improvement scenarios.

This paper presents a case study on the implementation of the proposed framework at a warehouse of an Italian 3PL provider to introduce a new storage assignment policy and reduce the travelling time for order picking. Furthermore, the paper exemplifies how the framework contributes to enhance the awareness of managers on warehousing operations and the involvement of the personnel throughout the improvement process.

The proposed framework can be implemented by operations managers of 3PL warehouses who want to pursue general performance improvement projects. With respect to the case study, this framework contributes to identify the storage assignment policy that reduces the travelling for order picking in the observed warehouse of 8 percent in a month but is intended to address to even other areas of improvement in 3PL warehousing environments.

Instead of focusing on the proper methods and models that optimize a specific task or performance indicator, it provides a general framework that leads the managers through the decisional process, from the preliminary diagnosis of the system, to its benchmarking, towards the implementation of corrective and improving solutions.

This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.

To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.

The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.

Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.

This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.

To study the impact, awareness and preparedness of COVID-19, a “pandemic” that has aroused the attention of the entire world because of rapid infection rates; among the targeted rural communities as basis to analyze their self-sustainability level.

A mixed methodology/approach combining critical literature review and questionnaire-based survey has been followed in two villages, covering a sample of 150 households located in Solan district of Himachal Pradesh, India. The parameters were selected to check awareness/preparedness regarding basic guidelines, immunity, requirements of essential facilities to deal with COVID-19 patients, the effect of lockdown on social and financial status, difficulties in education.

The villages have the potential to transform into Smart Villages or Smart Communities with the adaption of self-sustainable processes. The self-reliance on agriculture and traditional lifestyle in targeted rural areas make them relatively safer as compared to the urban areas. The community's overall awareness about COVID-19 and its preparedness was found satisfactory, with some variations that require more innovative strategies with academic interventions.

Although the scope of the study was limited to two remote villages of Himachal Pradesh (India), the results could be generalized for in-depth understanding about other villages in the state to convert them into smart villages.

It summarizes a systemic perspective based on selected parameters on how COVID-19 lockdown has affected different aspects of life in rural communities. Further, collaborative efforts and adoption of self-sustainability model can lead to the remarkable transformation of villages into smart villages.

Gaining independence from fossil fuels and combating climate change are the main factors to increase the generation of electricity from renewable fuels. Amongst the renewable technologies, solar photovoltaic (PV) is believed to have the largest potential. However, the number of people adopting solar PV technologies is still relatively low. Therefore, the purpose of this paper is to examine the household consumers’ acceptance of solar PV technology being installed on their premises.

To examine the solar PV technology acceptance, this study uses technology acceptance model (TAM) as a reference framework. A survey was conducted to gather data and to validate the research model. Out of 780 questionnaires distributed across Malaysia, 663 were returned and validated.

The analysis revealed that perceived ease of use, perceived usefulness and attitude to use significantly influenced behavioural intention to use solar PV technology.

This study contributes by extending the understanding of public inclination towards the adoption of solar PV technology. Also, this study contributes in identifying the areas which need to be examined further. However, collecting data from urban peninsular Malaysian respondents only limits the generalization of the results.

On the policy front, this study reveals that governmental support is needed to trigger PV acceptance.

This paper uses TAM to analyse the uptake of solar PV technology in Malaysian context.

Deposit insurance is a key element in modern banking, as it guarantees the financial safety of deposits at depository financial institutions. It is necessary to have at least a dual fair premium rate system based on creditworthiness of financial institutions, as considering singular premium system for all banks will have moral hazard. This paper aims to develop theoretical and empirical model for calculating dual fair premium rates.

The definition of a fair premium rate in this paper is a rate that covers the operational expenditures of the deposit insuring organization, provides it with sufficient funds to enable it to pay a certain percentage share of deposit amounts to depositors in case of bank default and provides it with sufficient funds as precautionary reserves. To identify and classify healthier and more stable banks, the authors use credit rating methods that use two major dimensional reduction techniques. For forecasting nonperforming loans (NPLs), the authors develop a model that can capture both macro shocks and idiosyncratic shocks to financial institutions in a vector error correction model.

The response of NPLs/loans to macro shocks and idiosyncratic innovations shows that using a model with macro variables only is insufficient, as it is possible that under favorable economic conditions, some banks show negative performance due to bank level reasons such as mismanagement or vice versa. The final results show that deposit insurance premium rate needs to be vary based on banks’ creditworthiness.

The results provide interesting insight for financial authorities to set fair deposit insurance premium rate. A high premium rate reduces the capital adequacy of individual financial institutions, which endangers the stability of the financial system; a low premium rate will reduce the security of the financial system.