Aim/Purpose: The main aim of the research is to examine the performance of second language English speaking students enrolled in the Business Statistics course and to investigate the academic performance of students when taught under the constructivist and non-constructivist approaches in a classroom environment. Background: There are different learning theories that are established based on how students learn. Each of these theories has its own benefits based on the different type of learners and context of the environment. The students in this research are new to the University environment and to a challenging technical course like Business Statistics. This research has been carried out to see the effectiveness of the constructivist approach in motivating and increasing the student engagement and their academic performance. Methodology : A total of 1373 students were involved in the quasi-experiment method using Stratified Sampling Method from the year 2015 until 2016. Contribution: To consider curriculum adjustments for first year programs and implications for teacher education. Findings: The t-test for unequal variances was used to understand the mean score. Results indicate students have high motivation level and achieve higher mean scores when they are taught using the constructivist teaching approach compared to the non-constructivist teaching approach. Recommendations for Practitioners: To consider the challenges faced by first year students and create a teaching approach that fits their needs. Recommendation for Researchers: To explore in depth other teaching approaches of the Business Statistics course in improving students’ academic performance. Impact on Society : The constructivist approach will enable learning to be enjoyable and students to be more confident. Future Research: The research will assist other lectures teaching Business Statistics in creating a more conducive environment to encourage second language English speaking students to overcome their shyness and be more engaged.

Aim/Purpose: To discuss the Design Science Research approach by comparing some of its canons with observed practices in projects in which it is applied, in order to understand and structure it better. Background: Recent criticisms of the application of the Design Science Research (DSR) approach have pointed out the need to make it more approachable and less confusing to overcome deficiencies such as the unrealistic evaluation. Methodology: We identified and analyzed 92 articles that presented artifacts developed from DSR projects and another 60 articles with preceding or subsequent actions associated with these 92 projects. We applied the content analysis technique to these 152 articles, enabling the preparation of network diagrams and an analysis of the longitudinal evolution of these projects in terms of activities performed and the types of artifacts involved. Contribution: The content analysis of these 152 articles enabled the preparation of network diagrams and an analysis of the longitudinal evolution of these projects in terms of the activities and types of artifacts involved. Evidence was found of a precedence hierarchy among different types of artifacts, as well as nine new opportunities for entry points for the continuity of DSR studies. Only 14% of the DSR artifacts underwent an evaluation by typical end users, characterizing a tenth type of entry point. Regarding the evaluation process, four aspects were identified, which demonstrated that 86% of DSR artifact evaluations are unrealistic. Findings: We identified and defined a set of attributes that allows a better characterization and structuring of the artifact evaluation process. Analyzing the field data, we inferred a precedence hierarchy for different artifacts types, as well as nine new opportunities for entry points for the continuity of DSR studies. Recommendation for Researchers: The four attributes identified for analyzing evaluation processes serve as guidelines for practitioners and researchers to achieve a realistic evaluation of artifacts. Future Research: The nine new entry points identified serve as an inspiration for researchers to give continuity to DSR projects.

Aim/Purpose: Cyberbullying (CB) is an ongoing phenomenon that affects youth in negative ways. Using online news articles to provide information to schools can help with the development of comprehensive cyberbullying prevention campaigns, and in restoring faith in news reporting. The inclusion of online news also allows for increased awareness of cybersafety issues for youth. Background: CB is an inherent problem of information delivery and security. Textual analysis provides input into prevention and training efforts to combat the issue. Methodology: Text extraction and text analysis methods of term and concept extraction; text link analysis and sentiment analysis are performed on a body of news articles. Contribution: News articles are determined to be a major source of information for comprehensive cyberbullying prevention campaigns. Findings: Online news articles are relatively neutral in their sentiment; terms and topic extraction provide fertile ground for information presentation and context. Recommendation for Researchers: Researchers should seek support for research projects that extract timely information from online news articles. Future Research: Refinement of the terms and topics analytic model, as well as a system development approach for information extraction of online CB news.

Aim/Purpose: The focus on human well-being has attracted the attention of consumers, organizations, and marketers to understand the various facets of Front of Pack Nutrition Labelling (FOPNL). This study examines the overall research trends in the FPONL domain and identifies the new research areas. Background: FOPNL is becoming increasingly popular and its influence has been widely examined. Different label schemes have been introduced across different regions in the world. Nevertheless, such interventions are limited in developing economies. Methodology: This study uses bibliometric analysis methods to explore Front of Pack Nutrition Labelling (FOPNL) trends using 602 articles published in selected business journals. Contribution: The paper identifies the new FOPNL research avenues. The study indicates that FOPNL has become a crucial research area, and more research is needed at the organization, managerial, and policy levels. Findings: The study identifies four themes. The first theme identified is the effect of harmful nutrients on health and the role of FOPNL nutrition in changing eating habits. The second theme focused on the government's policy and implementation of FOPNL nutrition labeling regulations. The third theme is dedicated to the work on attention, perception, understanding, and influence of multiple traffic light schemes. The fourth theme relates to the Health Star Rating, Nutri Score, and Healthier Choice FOPNL nutrition labeling schemes. Overall, the paper informs consumers, manufacturers, and regulators about the recent trends in the FOPNL research. Recommendation for Researchers: Though FOPNL has been widely examined in the health and nutrition domain, however, limited research has been done in the marketing domain. Research using neuroscientific methods (e.g. eye tracking) should provide more robust findings. Future Research: There is limited research on FOPNL from emerging economies. Future research can examine how FOPNL may influence people, policy, and private entities.

Aim/Purpose: The amount of information published has increased dramatically due to the information explosion. The issue of managing information as it expands at this rate lies in the development of information extraction technology that can turn unstructured data into organized data that is understandable and controllable by computers Background: The primary goal of named entity recognition (NER) is to extract named entities from amorphous materials and place them in pre-defined semantic classes. Methodology: In our work, we analyze various machine learning algorithms and implement K-NN which has been widely used in machine learning and remains one of the most popular methods to classify data. Contribution: To the researchers’ best knowledge, no published study has presented Named entity recognition for the Kikuyu language using a machine learning algorithm. This research will fill this gap by recognizing entities in the Kikuyu language. Findings: An evaluation was done by testing precision, recall, and F-measure. The experiment results demonstrate that using K-NN is effective in classification performance. Recommendation for Researchers: With enough training data, researchers could perform an experiment and check the learning curve with accuracy that compares to state of art NER. Future Research: Future studies may be done using unsupervised and semi-supervised learning algorithms for other resource-scarce languages.

Aim/Purpose: This study offers an important contribution to the literature on couple social comparisons by showing how different aspects of comparisons are related to relationship quality. Background: Making social comparisons is a daily tendency of human beings that does not only occur on an individual level but also in the context of romantic relationships. This phenomenon is widespread among couples, though partners differ in terms of their propensity to make couple social comparisons. The literature has shown that all these facets of couple social comparison play an important role in relationship functioning. Methodology: In the current study of 104 young adults in a heterosexual relationship, we investigated the association of couple social comparison propensity, explicit couple social comparisons, and implicit couple social comparisons with couple relationship quality in terms of commitment and relationship satisfaction. Contribution: So far, studies have not tested all these aspects in predicting partners’ relationship quality. Findings: Results showed that commitment was negatively predicted by relationship social comparison propensity and positively predicted by implicit couple social comparisons, while relationship satisfaction was positively predicted by both implicit and explicit couple social comparisons. Recommendation for Researchers: Our results have implications for couple interventions. In preventive interventions, sustaining a positive view of one’s relationship may promote relationship satisfaction and commitment. Future Research: Future research should adopt a dyadic design to investigate cross-partner associations.

Product innovation has become a crucial part of the sustainability of the coconut agro-industry in Indonesia, covering upstream and downstream sides. To overcome this challenge, it is necessary to create several model stages using a hybrid method that combines machine learning based on multiple criteria decision making and mass balance analysis. The research case study was conducted in Tembilahan district, Riau province, Indonesia, one of the primary coconut producers in Indonesia. The analysis results showed that potential products for domestic customers included coconut milk, coconut cooking oil, coconut chips, coconut jelly, coconut sugar, and virgin coconut oil. Furthermore, considering the experts, the most potential product to be developed was coconut sugar with a weight of 0.26. Prediction of coconut sugar demand reached 13,996,607 tons/year, requiring coconut sap as a raw material up to 97,976,249.

Research growth in organisational behaviour research, has increased the importance of paying attention to anti-citizenship behaviours. The current research with the aim of quantitative combination, has examined the results of research in effect of underlying factors of organisational anti-citizenship behaviours using meta-analysis method and CMA2 software and 55 articles during the time period of 2000-2020. The results showed a positive significant link between underlying factors of organisational anti-citizenship behaviours and occurrence of these behaviours and this influence was 0.389, 0.338, 0514 and 0.498 (structural, organisational, managerial, employment and professional and socio-economic and cultural factors). The level of connection found relating to each four occurrences is '68 links, 49 links, 93 links and 71 links'. Findings indicate that minute attention has been paid to organisational anti-citizenship behaviours, especially to job and professional factors in research works. Research should be conducted to control and manage these behaviours more purposefully in organisations.

Underpinned by stakeholder and agency theories, this study adopts a qualitative multiple-case study approach to explore and analyse various stakeholder interests and how they affect digitalisation in the health sector of a developing country (DC). The study's findings revealed that four key stakeholder interests - political, regulatory, leadership, and operational - affect digitalisation in the health sector of DCs. Further, the study found that operational and leadership interests were emergent and were triggered by some digitalisation initiatives, which included, inter alia, the use of new eHealth software and the COVID-19 vaccination exercise, which established new structures and worked better through digitalisation. Conversely, political and regulatory interests were found to be relatively enduring since they existed throughout the pre- and post-digitalisation eras. The study also unearthed principal-agent conflicts arising from technological, organisational and regulatory factors that contribute to the paradoxical outcomes of digitalisation in the health sector.

The mathematics requirements for computer science (CS) students have been debated for decades. I began teaching in a CS program in 1983, and I recall similar discussions at that time. The debate has continued in one form or another

High-quality biodiversity data is essential for answering key questions on biodiversity in Europe, for example regarding the state and trends of species or for evaluating ecosystem services and functions on various scales. A new EU BON report "Gap analysis and priorities for filling identified gaps in data coverage and quality" evaluates the state of available biodiversity information and points out gaps of available biodiversity information sources.

The report aims to assess relevant data sources on biodiversity on a European and global scale. The assessment particularly evaluates the gaps of available biodiversity information sources and, after outlining the most important ones, identifies priorities for improving the data availability and gives recommendations of how they can be closed.

The report is divided into three main sections, starting first with an overall overview of gaps and limitations of biodiversity datasets. After outlining some general limitations of biodiversity data in Europe, the key findings from the specific analyses are summarized along with recommendations of how existing gaps can be closed. The last part presents a chapter containing the specific gap analysis for a selection of several main global and European datasets. The datasets represent some main sources for biodiversity data, either for specific realms (terrestrial, marine, freshwater), taxonomic groups, thematic fields (taxonomy, genetic databases) or networks of European test sites.

The ConnectinGEO Workshop on Gap Analysis and Prioritization will will take place on 10 & 11 October 2106 in Asutia to address key issues associated with the societal benefits of Earth observations and the exploitation of Earth observation for societal policy and decision making.

The Gap Analysis workshop will discuss the outcomes of the gap analysis and prioritization performed in the ConnectinGEO project. This gap analysis was guided by the information and knowledge needs resulting from humanity's "Road to Dignity" detailed in the Agenda 2030 and specified in the 17 Sustainable Development Goals (SDGs) agreed upon by the United Nations. Both the monitoring and implementation of actions to achieve these goals require extensive support from Earth observation and science communities. Several directives and crosscuting issues in Europe provided further guidance for the gap analysis.

The workshop will provide a forum to review the methodology for gap analysis and prioritization, discuss the relevant gaps and priorities in the European Earth observation networks and develop a strategy to address those gaps that have a high priority assigned.

The objectives of the gap analysis and prioritization workshop are to:

• Assess the ConnectinGEO methodology for gap analysis and prioritization;
• Review the list of gaps identified and the prioritization achieved;
• Produce a final list of gaps with high priority;
• Discuss a strategy to address these gaps and provide recommendations for the European Network of Earth Observation Networks (ENEON) and the European Commission concerning high-priority gaps.

More on the event's website.

As Gen Z writes the marketing scripts of charities across the sector, Emily Harle looks at how organisations are tapping into viral online trends to build their brands

It is being hailed as a ‘once in a generation opportunity’ to make the sector’s voice heard but what might the new agreement between the sector and the government include? Andy Ricketts reports

The Chancellor Rachel Reeves has delivered her first Budget speech to the House of Commons. Lucinda Rouse rounds up the key aspects for the voluntary sector

Boston — Injury and illness prevention efforts are most needed in Massachusetts’ transportation and warehousing industry, results of a recent analysis of workers’ compensation claims show.

Analyst Access offers direct, around-the-clock access to a team of expert threat intelligence analysts during emergencies and other critical events.

Secaucus, NJ — The rate of positive drug tests rose by double digits in five of 16 major U.S. workforce industry sectors from 2015 to 2017, according to a recent analysis by lab services provider Quest Diagnostics.

Washington — Most states have expanded their whistleblower protection laws over the past 12 years, including 10 states that have done so in their most recent legislative sessions, according to an analysis by watchdog group Public Employees for Environmental Responsibility.

As technology marches on, we are reaching some interesting inflection points. I have found that there are many devices and software programs that appear to be smarter than me, which is quite disconcerting. (Ever see “Terminator 2”?)

Can I use the personal protective equipment tables in NFPA 70E, or should I have an incident energy analysis performed?

Silver Spring, MD — At least 30 sanitation workers died from on-the-job injuries in the first seven months of this year – a 9.1% decrease from the same period last year, according to a recent Solid Waste Association of North America analysis.

Silver Spring, MD — At least 12 sanitation workers suffered fatal injuries on the job during the first six months of the year – a 57.1% decrease from the same period in 2020, according to a recent analysis conducted by the Solid Waste Association of North America.

The need and value of personal protective equipment and worker safety have surged over the past two years. More than ever, it is imperative that organizations ensure they mitigate the risk of workplace hazards for their employees as well as their business’s sustainability.

What role does data analysis play in ensuring the safety of connected workers, and how can it be used to identify potential hazards and prevent incidents?

Washington — OSHA should develop guidance on the process hazard analysis element of its standard on process safety management of highly hazardous chemicals (1910.119), the Chemical Safety Board recommends in a final report on an April 2018 explosion and fire at a Wisconsin refinery.

Montreal — A work-related injury followed by a mental health issue, or the other way around: Which is more likely? Two Canadian researchers wanted to find out.

COVID-19 has certainly brought an ever changing "new normal" to the food industry but one thing that will be a sure constant in 2022 is that food safety and quality testing will continue to be important for the integrity of the global food chain.

Nixon helps in guiding your facilities' assessment of agricultural and food processing risks through dust hazard analysis, NFPA 61 compliance, and leading options to address the risk of combustible dust explosions.

Children's Geographies; 06/01/2021
(AN 151284205); ISSN: 14733285
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Children's Geographies; 04/01/2023
(AN 163915531); ISSN: 14733285
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Children's Geographies; 04/01/2023
(AN 163915529); ISSN: 14733285
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Children's Geographies; 06/01/2023
(AN 164286249); ISSN: 14733285
Academic Search Premier