bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship of abusive supervision and employees’ helping behaviors: moderated-mediation perspective
Authors: Asim Muhammad , Liu Zhiying , Nadeem Muhammad Athar , Ghani Usman , Khalid Junaid , Xu Yi 
Published: January 2023

Purpose
This study, based on the conservation of resource theory, aims to investigate the negative impacts of abusive supervision on helping behaviors among employees by examining the mediating role of rumination and the moderating role of psychological flexibility.

Design/methodology/approach
A total sample of 282 reliable questionnaires are collected from 282 employees working in education and banking sectors of Pakistan. SPSS and AMOS are used for data analysis of the proposed model.

Findings
The findings reveal that rumination mediates the relationship between abusive supervision and employees’ helping behavior. In addition, the results show that higher levels of psychological flexibility negatively moderate the relationship between abusive supervision and employees’ helping behaviors through mediation.

Practical implications
This study elucidates how and when abusive supervision deters helping behavior among employees and provides useful guidelines for banking/university’s administration to understand harmful consequences of abusive supervision and take appropriate policy measures to lessen their harmful effects upon employees.

Originality/value
By proposing a moderated mediation model, this study discovers rumination as a key mediator that links abusive supervision to employees’ helping behaviors and identifies the role of psychological flexibility in diminishing the negative impacts of abusive supervision upon employees’ helping behaviors through rumination.
Relative importance of safety against natural disasters for residential selection: a case study at Osaka prefecture, Japan
Authors: Takabatake Tomoyuki , Hasegawa Nanami , Nishigaki Suguru 
Published: January 2023

Purpose
This study aims to clarify the following research questions: to what extent do people consider natural disaster risks as important for residential selection? what personal demographics and attitudes toward natural disaster risks are associated with the relative importance of natural disasters for residential selection? and to what extent do the associated personal attributes influence the relative importance of natural disasters for residential selection?

Design/methodology/approach
An internet-based survey was performed to collect 2,000 responses from residents of Osaka Prefecture, Japan, to gauge people’s relative importance of safety against natural disasters regarding residential preference. The obtained results were analysed using two types of statistical analysis, specifically chi-square test and multivariable logistic regression analyses.

Findings
It was found that 37.3% of the respondents in Osaka Prefecture, Japan, considered the “safety against natural disasters” relatively important when selecting a residential location. The statistical analysis also demonstrated that those having a relatively higher level of disaster awareness and preparedness were 1.41 times more likely to prefer to live in a place that is safer from natural disasters. Thus, it was suggested that disaster education aimed at raising the level of people’s disaster awareness could be effective to increase the number of people who choose to live in a safer place from natural disasters.

Originality/value
Living in an area that is safer from natural disasters can effectively minimize human and property damage. Recently, several measures have been taken in Japan to guide people to live in a safer place. The clarification of the extent to which people consider natural disaster risks as important for residential selection and the understanding of the categories of the people who are likely to do so is important to develop more effective natural disaster measures; however, there has been less attention on such investigation. Therefore, this study conducted an internet-based survey and examined it.
Air quality measurement, prediction and warning using transfer learning based IOT system for ambient assisted living
Authors: Sonawani Shilpa , Patil Kailas 
Published: January 2023

Purpose
Indoor air quality monitoring is extremely important in urban, industrial areas. Considering the devastating effect of declining quality of air in major part of the countries like India and China, it is highly recommended to monitor the quality of air which can help people with respiratory diseases, children and elderly people to take necessary precautions and stay safe at their homes. The purpose of this study is to detect air quality and perform predictions which could be part of smart home automation with the use of newer technology.

Design/methodology/approach
This study proposes an Internet-of-Things (IoT)-based air quality measurement, warning and prediction system for ambient assisted living. The proposed ambient assisted living system consists of low-cost air quality sensors and ESP32 controller with new generation embedded system architecture. It can detect Indoor Air Quality parameters like CO, PM2.5, NO2, O3, NH3, temperature, pressure, humidity, etc. The low cost sensor data are calibrated using machine learning techniques for performance improvement. The system has a novel prediction model, multiheaded convolutional neural networks-gated recurrent unit which can detect next hour pollution concentration. The model uses a transfer learning (TL) approach for prediction when the system is new and less data available for prediction. Any neighboring site data can be used to transfer knowledge for early predictions for the new system. It can have a mobile-based application which can send warning notifications to users if the Indoor Air Quality parameters exceed the specified threshold values. This is all required to take necessary measures against bad air quality.

Findings
The IoT-based system has implemented the TL framework, and the results of this study showed that the system works efficiently with performance improvement of 55.42% in RMSE scores for prediction at new target system with insufficient data.

Originality/value
This study demonstrates the implementation of an IoT system which uses low-cost sensors and deep learning model for predicting pollution concentration. The system is tackling the issues of the low-cost sensors for better performance. The novel approach of pretrained models and TL work very well at the new system having data insufficiency issues. This study contributes significantly with the usage of low-cost sensors, open-source advanced technology and performance improvement in prediction ability at new systems. Experimental results and findings are disclosed in this study. This will help install multiple new cost-effective monitoring stations in smart city for pollution forecasting.
Individualism and climate change policies: international evidence
Authors: Vu Trung V. 
Published: January 2023

PurposeThis paper aims to examine the extent to which the cultural dimension of individualism/collectivism matters for international differences in climate change policy performance. This study postulates that individualistic societies, relative to their collectivistic counterparts, are more likely to address global climate change.Design/methodology/approachThe main hypothesis is tested using data for a world sample of up to 92 countries. To achieve causal inference, this study isolates exogenous sources of variation in individualistic cultures, based on blood distance to the UK and historical pathogen prevalence.FindingsThe core results suggest that individualistic countries are characterized by greater climate change policy performance. This study also finds evidence that individualism affects climate change policy adoption through enhancing governance and female political representation. Subnational analyses based on data from the World Values Survey indicate that survey participants with an orientation toward individualism tend to self-report positive attitudes to pro-environmental policies.Research limitations/implicationsThe main findings help improve the understanding of the deep origins of climate change policy performance, which is relevant for formulating policies that help mitigate the consequences of changing climate conditions.Originality/valueTo the best of the author’s knowledge, this paper is the first study to link cultural traits of individualism and climate change policy performance across countries.
The pricing strategies under the online platform selling mode with information sharing
Authors: Cao Xiaogang , Yuan Jing , Wen Hui , Zhang Cuiwei 
Published: January 2023

PurposeDifferent information sharing mechanisms and online platform information sharing to different charging models are compared and analyzed.Design/methodology/approachThis paper uses the Stackelberg game model to study the demand information sharing and pricing decisions.FindingsThe results show that: (1) the retailer's pricing strategy is the highest when both of them obtain information, while the manufacturer's pricing strategy is affected by the related attributes of different products, such as the sensitivity of consumers to product prices; (2) in the online platform sales model, the demand information data sharing owned by the online platform can bring more expected profits to the whole supply chain and the members of the supply chain, and the higher the accuracy of the information, the higher the expected profit; (3) when the cost of obtaining demand information is zero, that is, the online platform shares the information data about market demand free of charge, the retailer and manufacturer tend to obtain information; (4) for the online platform, charging a certain fee can achieve higher expected profits than free sharing.Originality/valueBased on the single platform online sales model, this paper uses the Stackelberg game model to study the demand information sharing and pricing decision of a manufacturer and a retailer selling products through the same online platform.
Can garment production survive in a developed economy in the 21st century? A study of “Made in Ireland”
Authors: Keegan Miriam , Lu Sheng 
Published: January 2023

Purpose
Given the heated academic and policy debate regarding the fate of garment manufacturing in a high-wage developed economy in the 21st century, this study aims to explore the production and export strategies of apparel “Made in Ireland.”

Design/methodology/approach
A logistic regression analysis of 4,000 apparel items at the stock keeping unit (SKU) level sold in the market from January 2018 to December 2021 was conducted to evaluate the production and export strategy of apparel “Made in Ireland” versus foreign-made imported items sold in Ireland.

Findings
The statistical results showed that Ireland’s apparel manufacturing sector survived the market competition by leveraging non-price competing factors, such as distinct product assortment, cultural heritage, history and traditional craftsmanship.

Originality/value
The findings challenged the conclusions of the classic trade and economic development theories regarding the trajectory of the garment manufacturing sector and called for a rethink about the strategies for expanding garment manufacturing in a high-wage developed country in today’s global economy.
Dear technology, you are not welcome: exploring ungratefulness towards technology
Authors: Garg Naval , Kumari Sarika 
Published: January 2023

PurposeTechnology has become all-pervasive and one of the essential requirements of life. The blessings of science and technology are countless, and today, it is almost impossible to imagine life without applications of technology. And at the same time, positive psychologists have advocated practicing gratitude for the betterment of personal and professional growth and development. But ironically, the area of gratitude toward technology remains unexplored. The purpose of this study is to investigate the difference in gratitude for the technological and non-technological aspects of life.Design/methodology/approachThe first study compared gratitude for three parameters – sense of abundance, social appreciation and appreciation for others. The second study was based on the “counting blessing” exercise, in which respondents were asked to write five things for which they feel grateful in life. The Friedman test and Wilcoxon signed-rank test were used to compare the ranked data. In the third study, respondents were distributed into two groups. Both groups were given a puzzle to solve; first, group members were informed that they would interact with other human beings, and the second group was informed that they would interact with bots.FindingsAll three studies concluded that respondents are relatively less grateful for the contributions of technologies.Originality/valueThis is probably the first study that investigated gratefulness for technology.
Spread of stinging ants to oceanic islands, and the need to raise awareness of prevention and treatment of ant stings
Authors: Hoffmann Benjamin D , Ducarme Frédéric , Bradford DanaKai , Martinez Santiago 
Published: January 2023

AbstractObjectiveVenomous invasive ants are rapidly dispersing throughout oceanic islands. Medics unfamiliar with envenomation or venom‐induced anaphylaxis may be unprepared for the range of possible reactions and corresponding treatments. We detail the suboptimal treatment of a patient suffering anaphylaxis from an ant sting on a remote island and describe what treatment should have been provided.MethodsThe patient experienced stings on his feet from an ant later identified as tropical fire ant, Solenopsis geminata. Clinical examination revealed throat swelling without obstruction of the airway or pharynx.ResultsThe patient was provided the following suboptimal treatment: intravenously‐administered antihistamine and saline perfusion. Injected epinephrine should be the standard first line of treatment for anaphylaxis, even when not all symptoms are present.ConclusionA rise in invasive hymenopteran stings on oceanic islands is inevitable, and proactively improving public awareness and medical training could save lives.
Vacuum‐assisted excision biopsy for definitive diagnosis of breast lesions of uncertain malignant potential (B3 lesions) on core biopsy – A single centre Western Australian experience
Authors: Watson Jessica Frances , Radic Rose , Frost Rosanna , Paton Sarah , Kessell Meredith Anita , Dessauvagie Benjamin Frederik , Taylor Donna Blanche 
Published: January 2023

AbstractIntroductionIn Australia, the usual approach to breast lesions where core biopsy returns an uncertain result (“B3” breast lesion) is to perform surgical diagnostic open biopsy (DOB). This is associated with patient time off work, costs of hospital admission, risks of general anaesthesia and surgical complications. The majority of B3 lesions return benign results following surgery. Vacuum assisted excision biopsy (VAEB) is a less invasive, lower cost alternative, and is standard of care for selected B3 lesions in the United Kingdom. Similar use of VAEB in Australia, could save many women unnecessary surgery. The aim of this study was to document our experience during the introduction of VAEB as an alternative to DOB for diagnosis of selected B3 lesions.MethodsThe multidisciplinary team developed an agreed VAEB pathway for selected B3 lesions. Technically accessible papillary lesions, mucocele‐like lesions and radial scars without atypia measuring ≤ 15mm were selected.ResultsOver a 7 month period, 18 women with 20 B3 lesions were offered VAEB. 16 women (18 lesions) chose VAEB over DOB. Papillomas were the commonest lesion type. All lesions were successfully sampled: 17/18 were benign. One lesion (6%) was upgraded to malignancy (ductal carcinoma in situ on VAEB, invasive ductal carcinoma at surgery). No major complications occurred. Patient satisfaction was high: 15/16 respondents would again choose VAEB over surgery.ConclusionVAEB is a patient‐preferred, safe, well‐tolerated, lower‐cost alternative to DOB for definitive diagnosis of selected B3 breast lesions.
Assessing the utility of marine filter feeders for environmental DNA (eDNA) biodiversity monitoring
Authors: Jeunen Gert‐Jan , Cane Jasmine S. , Ferreira Sara , Strano Francesca , von Ammon Ulla , Cross Hugh , Day Robert , Hesseltine Sean , Ellis Kaleb , Urban Lara , Pearson Niall , Olmedo‐Rojas Pamela , Kardailsky Anya , Gemmell Neil J. , Lamare Miles 
Published: January 2023

AbstractAquatic environmental DNA (eDNA) surveys are transforming how marine ecosystems are monitored. The time‐consuming preprocessing step of active filtration, however, remains a bottleneck. Hence, new approaches that eliminate the need for active filtration are required. Filter‐feeding invertebrates have been proven to collect eDNA, but side‐by‐side comparative studies to investigate the similarity between aquatic and filter‐feeder eDNA signals are essential. Here, we investigated the differences among four eDNA sources (water; bivalve gill‐tissue; sponges; and ethanol in which filter‐feeding organisms were stored) along a vertically stratified transect in Doubtful Sound, New Zealand using three metabarcoding primer sets targeting fish and vertebrates. Combined, eDNA sources detected 59 vertebrates, while concurrent diver surveys observed eight fish species. There were no significant differences in alpha and beta diversity between water and sponge eDNA and both sources were highly correlated. Vertebrate eDNA was successfully extracted from the ethanol in which sponges were stored, although a reduced number of species were detected. Bivalve gill‐tissue dissections, on the other hand, failed to reliably detect eDNA. Overall, our results show that vertebrate eDNA signals obtained from water samples and marine sponges are highly concordant. The strong similarity in eDNA signals demonstrates the potential of marine sponges as an additional tool for eDNA‐based marine biodiversity surveys, by enabling the incorporation of larger sample numbers in eDNA surveys, reducing plastic waste, simplifying sample collection, and as a cost‐efficient alternative. However, we note the importance to not detrimentally impact marine communities by, for example, nonlethal subsampling, specimen cloning, or using bycatch specimens.
Real‐time alerts from AI‐enabled camera traps using the Iridium satellite network: A case‐study in Gabon, Central Africa
Authors: Whytock Robin C. , Suijten Thijs , van Deursen Tim , Świeżewski Jędrzej , Mermiaghe Hervé , Madamba Nazaire , Mouckoumou Narcisse , Zwerts Joeri A. , Pambo Aurélie Flore Koumba , Bahaa‐el‐din Laila , Brittain Stephanie , Cardoso Anabelle W. , Henschel Philipp , Lehmann David , Momboua Brice Roxan , Makaga Loïc , Orbell Christopher , White Lee J. T. , Iponga Donald Midoko , Abernethy Katharine A. 
Published: January 2023

Abstract

Efforts to preserve, protect and restore ecosystems are hindered by long delays between data collection and analysis. Threats to ecosystems can go undetected for years or decades as a result. Real‐time data can help solve this issue but significant technical barriers exist. For example, automated camera traps are widely used for ecosystem monitoring but it is challenging to transmit images for real‐time analysis where there is no reliable cellular or WiFi connectivity.

We modified an off‐the‐shelf camera trap (Bushnell™) and customised existing open‐source hardware to create a ‘smart’ camera trap system. Images captured by the camera trap are instantly labelled by an artificial intelligence model and an ‘alert’ containing the image label and other metadata is then delivered to the end‐user within minutes over the Iridium satellite network. We present results from testing in the Netherlands, Europe, and from a pilot test in a closed‐canopy forest in Gabon, Central Africa. All reference materials required to build the system are provided in open‐source repositories.

Results show the system can operate for a minimum of 3 months without intervention when capturing a median of 17.23 images per day. The median time‐difference between image capture and receiving an alert was 7.35 min, though some outliers showed delays of 5‐days or more when the system was incorrectly positioned and unable to connect to the Iridium network.

We anticipate significant developments in this field and hope that the solutions presented here, and the lessons learned, can be used to inform future advances. New artificial intelligence models and the addition of other sensors such as microphones will expand the system's potential for other, real‐time use cases including real‐time biodiversity monitoring, wild resource management and detecting illegal human activities in protected areas.
Dermatological aspects of ticks in Australia: An update
Authors: Khan Hina Ali , Oskam Charlotte , Kumarasinghe Prasad 
Published: January 2023

AbstractTicks are ectoparasites that cause dermatologic reactions directly by their bites and indirectly as vectors of bacterial, protozoal and viral diseases. Consequences vary from minor local reactions to significant systemic sequelae and are therefore of clinical relevance to dermatologists. In this article, Australian ticks of medical importance are reviewed through the lens of dermatology.
The effect of anti‐spasmodic administration on the accuracy of magnetic resonance imaging staging of rectal cancer
Authors: Taylor Anna , Wilkins Simon , Gelber Nicholas , Wang Wei Chun , Oliva Karen , Yap Raymond , McMurrick Paul , Ranchod Pravin 
Published: January 2023

AbstractBackgroundsMagnetic resonance imaging is the primary method for local staging in rectal cancer patients. Administration of intravenous (IV) hyoscine butylbromide is thought to improve accuracy, but there are contraindications and potential adverse effects. The aim was to assess the efficacy of IV hyoscine butylbromide on the accuracy of MRI rectal cancer staging of T2 and T3 rectal cancers.MethodsA retrospective cohort study was carried out on patients prospectively recorded on the Cabrini Monash colorectal neoplasia database. A total of 74 patients (53 males, 21 females) MRI pelvis and rectums with antispasmodics were performed at multiple centres in the pre‐operative setting between 2010 and 2016. Each patient underwent total mesorectal excision of rectal cancer. The excision specimens were assessed and given a pathological TNM stage, which was considered the reference standard.ResultsThere was no statistically significant impact on the overall accuracy of MRI rectal cancer staging between patient groups who received IV hyoscine butylbromide and groups who did not receive IV hyoscine butylbromide. The accuracy of T2 and T3 staged rectal cancers was more likely to be correct (compared with T1 cancers) with the administration of IV hyoscine butylbromide. Still, there was no improvement in the accuracy of N‐staging.ConclusionGiven the potential side effects and adverse outcomes of IV anti‐spasmodic agents, department protocols may need to be re‐assessed regarding the prescription of these medications for MRI rectal cancer staging.