bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relationship between institutional climate and constructive deviance
Authors: Dewangan Rashmi , Verghese Manoj 
Published: September 2023

Purpose
This study aims to explore the impact of organizational climates on constructive workplace deviance by examining staff attitudes to four dimensions of institutional climate: academic; administrative; developmental; and financial. Though carried out with exclusively academic staff working in university environments, it has considerable potential as a pilot for adaptation to the needs of managers and carers working with intellectually challenged offenders and their families.

Design/methodology/approach
Data from a purposive (non-probability) sample of 357 academicians used in technical education in public or private organizations were collected electronically using a Likert-type questionnaire. Analytic techniques used in this study include measurement model assessment and structural equation modeling.

Findings
Respondents indicated that institutional climate significantly influences employees in how they exhibit constructive deviance in their workplace behavior. Practices such as whistle blowing, prosocial rule-breaking and openly expressing their concerns are common symptoms exhibited in constructive deviant behavior. An employee who is positively influenced by the organization’s climate would stand up against any policy or activity that could disrupt or harm the company’s operations and reputation. Results imply that, of the four climate variables analysed, financial climate has the most influence on positive deviance, followed by developmental and administrative climates, with academic climate having the least influence.

Practical implications
The current study’s target population is the academicians working as faculty members in the field of technical education, having multiple implications for the management of institutions. The findings of the study emphasize the significance of their workplace policies and ethics. Given the indication that financial climate appeared to be the most influential of the dimensions under study, this would emphasize the need to develop an environment where there is no irrelevant discrimination in pay based solely on gender, caste or creed.

Originality/value
To the best of the authors’ knowledge, this study is the first attempt to understand and describe its four key elements together as contributory factors to constructive deviance in an organization.
Sourcing strategies for competing manufacturers in the toy industry
Authors: Liang Peiyi , Yang Feng , Shan Feifei 
Published: September 2023

Purpose
This paper aims to examine the optimal sourcing strategies and pricing decisions of competing toy manufacturers and to discuss how manufacturers’ decisions are impacted by competition.

Design/methodology/approach
The authors consider a single-period model to characterise the competition between two competing toy manufacturers. Both of them are free to choose between virgin material and recycled material. The authors consider two types of consumers: sensitive consumers who are concerned about product safety and prefer the toy made of virgin material and insensitive consumers who do not care what material is used in the toy. The competing manufacturers play a Cournot competition.

Findings
The results reveal a special case of a win-win situation for both the manufacturer and the consumer. In addition, an increasing number of sensitive consumers does not always raise the price of virgin-material toys.

Practical implications
The authors derive the manufacturer’s equilibrium sourcing strategies, corresponding market-clearing prices and profits obtained.

Originality/value
The paper investigates how toy manufacturers’ optimal sourcing strategies are impacted by competition, considering market segments.
Utilizing health-related text on social media for depression research: themes and methods
Authors: Yao Sumei , Wang Fan , Chen Jing , Lu Quan 
Published: September 2023

PurposeSocial media texts as a data source in depression research have emerged as a significant convergence between Information Management and Public Health in recent years. This paper aims to sort out the depression-related study conducted on the text on social media, with particular attention to the research theme and methods.Design/methodology/approachThe authors finally selected research articles published in Web of Science, Wiley, ACM Digital Library, EBSCO, IEEE Xplore and JMIR databases, covering 57 articles.Findings(1) According to the coding results, Depression Prediction and Linguistic Characteristics and Information Behavior are the two most popular themes. The theme of Patient Needs has progressed over the past few years. Still, there is a lesser focus on Stigma and Antidepressants. (2) Researchers prefer quantitative methods such as machine learning and statistical analysis to qualitative ones. (4) According to the analysis of the data collection platforms, more researchers used comprehensive social media sites like Reddit and Facebook than depression-specific communities like Sunforum and Alonelylife.Practical implicationsThe authors recommend employing machine learning and statistical analysis to explore factors related to Stigmatization and Antidepressants thoroughly. Additionally, conducting mixed-methods studies incorporating data from diverse sources would be valuable. Such approaches would provide insights beneficial to policymakers and pharmaceutical companies seeking a comprehensive understanding of depression.Originality/valueThis article signifies a pioneering effort in systematically gathering and examining the themes and methodologies within the intersection of health-related texts on social media and depression.
Multi-performance optimization for AWJ drilling process in cutting of ceramic tile: BBD with EOBL-GOA algorithm
Authors: Tamilarasan A. , Renugambal A. , Shunmugesh K. 
Published: September 2023

PurposeThe goal of this study is to determine the values of the process parameters that should be used during the machining of ceramic tile using the abrasive water jet (AWJ) process in order to achieve the lowest possible values for surface roughness and kerf taper angle.Design/methodology/approachIn the present work, ceramic tile is processed by the AWJ process and experimental data were recorded using the RSM approach based Box–Behnken design matrix. The input process factors were water jet pressure, jet traverse speed, abrasive flow rate and standoff distance, to determine the surface roughness and kerf taper angle. ANOVA was used to check the adequacy of model and significance of process parameters. Further, the elite opposition-based learning grasshopper optimization (EOBL-GOA) algorithm was implemented to identify the simultaneous optimization of multiple responses of surface roughness and kerf taper angle in AWJ.FindingsThe suggested EOBL-GOA algorithm is suitable for AWJ of ceramic tile, as evidenced by the error rate of ±2 percent between experimental and predicted solutions. The surfaces were evaluated with an SEM to assess the quality of the surface generated with the optimal settings. As compared with initial setting of the SEM image, it was noticed that the bottom cut surface was nearly smooth, with less cracks, striations and pits in the improved optimal results of the SEM image. The results of the analysis can be used to control machining parameters and increase the accuracy of AWJed components.Originality/valueThe findings of this study present an innovative method for assessing the characteristics of the nontraditional machining processes that are most suited for use in industrial and commercial applications.
Does intention translate into actual purchase? Analysis of inducers of sustainable consumption in higher education students
Authors: Montreuil Carmona Linda JessicaDe , Barretto Anderson Gomes Paes , Bacinello Edilson 
Published: September 2023

Purpose
The purpose of this study was to verify the effect of sustainable consumption on the intention and effective purchase of products by young undergraduates, using the framework with the dimensions: consciousness for sustainable consumption, moral orientation and environmental concern. The authors also examined the mediation effect of intention and searched for heterogeneities on the purchase of sustainable products when discriminating by product type.

Design/methodology/approach
Sustainable consumption assumes ethics and environmental concern prioritization in the role of individuals to preserve natural resources threatened by global warming. Considering this, the authors developed cross-sectional research based on a sample of 265 Brazilian higher education students, which was analyzed with the use of partial least squares path modeling.

Findings
The results showed a positive relationship between sustainable consumption and buying intention, with mediation effects on the effective purchase of sustainable products. It was evidenced that consciousness for sustainable consumption, moral orientation and environmental concern do not lead directly to the purchase of sustainable products; they are based on the mediation exerted by the intention that purchase materializes in Brazilian, young university students. By analyzing heterogeneities, the authors found that environmental concern may translate into actual purchase when product-oriented.

Originality/value
This study uses the VBN theory to understand the behavioral intentions for the effective purchase of sustainable products, extending the range of sustainable consumption associating factors not analyzed in the higher education context, including nontraditional categories of sustainable products, such as textiles, furniture and wood articles. Moreover, this paper examines the mediation role of intention for effective purchase of sustainable products, identifying product categories that may translate environmental concerns to actual purchases, highlighting the importance of Brazil as an emerging economy that is a leading producer and exporter of organic foods with a growing market for sustainable products.
The burden of rheumatoid arthritis and low back pain in North Africa and Middle East from 1990 to 2019: Results from the Global Burden of Disease Study 2019
Authors: Sanjari Mahnaz , Noorali Sima , Behnoush Amir Hossein , Saeedi Moghaddam Sahar , Fahimfar Noushin , Azangou‐Khyavy Mohammadreza , Yousefi Shakiba , Ebrahimi Narges , Yarmohammadi Hossein , Rashidi Mohammad‐Mahdi , Ostovar Afshin , Larijani Bagher 
Published: September 2023

AbstractBackgroundRheumatoid arthritis (RA) and low back pain (LBP) are among the most prevalent musculoskeletal disorders (MSDs). The need for investigation of regional and local patterns of these two MSDs seems inevitable for better policy‐making. The current study presents updated results of the Global Burden of Disease (GBD) Study 2019 and reports the burden of RA and LBP in North Africa and Middle East (NAME) countries from 1990 to 2019.MethodsIncidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), disability‐adjusted life‐years (DALYs), and risk factors, including high body mass index, occupational ergonomic factors, and smoking, were extracted based on the GBD 2019 data.ResultsThe age‐standardized prevalence and mortality of RA were 120.6 (95% uncertainty interval [95% UI] 107.0–135.7) and 0.1 (95% UI 0.1–0.2) per 100 000 population in 2019 with 28.3% (95% UI 25.5%–30.9%) increase and 7.5% (95% UI −37.5% to 32.5%) decrease since 1990, respectively. Turkey had the highest age‐standardized incidence, prevalence, and DALYs of RA in 2019. All RA burden measures were higher for women; however, the incidence was almost the same at ages greater than 65 years. The age‐standardized prevalence and DALYs of LBP were 7668.2 (95% UI 6798.0–8636.3) and 862 (95% UI 605.5–1153.3) in 2019, which had decreased by 5.8% (95% UI −7.4% to −4.3%) and 6.0% (95% UI −7.7% to −4.2%) since 1990, respectively. Moreover, although Turkey had the highest incidence and prevalence in 1990, Iran was at the top in 2019. The regional age‐standardized DALY rates due to RA and LBP attributed to smoking were 1.7 (95% UI 0.5–3.2) and 139.4 (95% UI 87.3–198.8) in 2019, respectively, which had decreased 2.2% (95% UI −19.2% to 13.7%) and 15.4% (95% UI −19.4% to −10.5%) since 1990, respectively.ConclusionRA still imposes a significant burden in the NAME region as the burden measures have increased from 1990 to 2019. On the other hand, regarding LBP, a decreasing pattern was observed. Differences among the countries and between ages and genders can have implications, and the results of this study may be helpful for policy‐makers in the NAME countries.
Is the gut microbiome of insects a potential source to meet UN sustainable development goals to eliminate plastic pollution?
Authors: Siddiqui Ruqaiyyah , Khan Naveed Ahmed 
Published: September 2023

AbstractAs insects such as cockroaches can endure high radiation, flourish in unsanitary circumstances, thrive on germ‐infested feed, and can even digest the organic polymer cellulose, the gut microbiota of these species likely produces enzymes contributing to their ability to digest a variety of materials. The use of cockroaches as a bio‐resource to eliminate plastic is discussed. We explore whether species such as cockroaches are a potential bio‐resource to eliminate plastic pollution and contribute to the sustainable development goals adopted by the United Nations as well as the global community to reduce and/or eliminate plastic pollution.
rphenoscate: An R package for semantics‐aware evolutionary analyses of anatomical traits
Authors: Porto Diego S. , Tarasov Sergei , Charpentier Caleb , Lapp Hilmar , Balhoff James P. , Vision Todd J. , Dahdul Wasila M. , Mabee Paula M. , Uyeda Josef 
Published: September 2023

Abstract

Organismal anatomy is a hierarchical system of anatomical entities often imposing dependencies among multiple morphological characters. Ontologies provide a formal and computable framework for incorporating prior biological knowledge about anatomical dependencies in models of trait evolution. They also offer new opportunities for working with semantic representations of morphological data.

In this work, we present a new R package—rphenoscate—that enables incorporating ontological knowledge in evolutionary analyses and exploring semantic patterns of morphological data. In conjunction with rphenoscape, it allows for assembling synthetic phylogenetic character matrices from semantic phenotypes of morphological data. We showcase the package functionality with data sets from bees and fishes.

We demonstrate that ontologies can be employed to automatically set up evolutionary models accounting for trait dependencies in stochastic character mapping. We also demonstrate how ontology annotations can be explored to interrogate patterns of morphological evolution. Finally, we demonstrate that synthetic character matrices assembled from semantic phenotypes retain most of the phylogenetic information from their original data sets.

Ontologies will become important tools for integrating anatomical knowledge into phylogenetic methods and making morphological data FAIR compliant—a critical step of the ongoing ‘phenomics’ revolution. Our new package offers key advancements towards this goal.
Candidate signatures of positive selection for environmental adaptation in indigenous African cattle: A review
Authors: Kambal Sumaya , Tijjani Abdulfatai , Ibrahim Sabah A. E. , Ahmed Mohamed‐Khair A. , Mwacharo Joram M. , Hanotte Olivier 
Published: September 2023

AbstractEnvironmental adaptation traits of indigenous African cattle are increasingly being investigated to respond to the need for sustainable livestock production in the context of unpredictable climatic changes. Several studies have highlighted genomic regions under positive selection probably associated with adaptation to environmental challenges (e.g. heat stress, trypanosomiasis, tick and tick‐borne diseases). However, little attention has focused on pinpointing the candidate causative variant(s) controlling the traits. This review compiled information from 22 studies on signatures of positive selection in indigenous African cattle breeds to identify regions under positive selection. We highlight some key candidate genome regions and genes of relevance to the challenges of living in extreme environments (high temperature, high altitude, high infectious disease prevalence). They include candidate genes involved in biological pathways relating to innate and adaptive immunity (e.g. BoLAs, SPAG11, IL1RL2 and GFI1B), heat stress (e.g. HSPs, SOD1 and PRLH) and hypoxia responses (e.g. BDNF and INPP4A). Notably, the highest numbers of candidate regions are found on BTA3, BTA5 and BTA7. They overlap with genes playing roles in several biological functions and pathways. These include but are not limited to growth and feed intake, cell stability, protein stability and sweat gland development. This review may further guide targeted genome studies aiming to assess the importance of candidate causative mutations, within regulatory and protein‐coding genome regions, to further understand the biological mechanisms underlying African cattle's unique adaption.
Impact of glaucoma medications on subsequent Schlemm's canal surgery outcome: Cox proportional hazard model and propensity score‐matched analysis
Authors: Okuda‐Arai Mina , Mori Sotaro , Takano Fumio , Ueda Kaori , Sakamoto Mari , Yamada‐Nakanishi Yuko , Nakamura Makoto 
Published: September 2023

AbstractPurposeThe impact of various preoperative glaucoma medications on Schlemm's canal surgery outcomes remains unclear. This study aimed to investigate the impact of preoperative glaucoma medications on the postoperative 1‐year outcomes of μTLO.MethodsWe analyzed the medical records of 218 patients who underwent their first μTLO to investigate the 1‐year postoperative outcomes. Cox proportional hazard regression analysis was performed with surgical failure as the dependent variable and each type of preoperative medication as the independent variable. We also compared the 1‐year outcomes of μTLO between users and non‐users of specific medications using propensity score matching. Surgical success was defined as a postoperative intraocular pressure ranging from 5 to 21 mmHg, a ≥20% reduction in IOP from baseline, and no additional glaucoma surgery within 1 year postoperatively.ResultsThe Cox proportional hazard analysis showed that all drugs that do not increase the conventional outflow exhibited hazard ratios greater than 1.0, and the preoperative use of β‐blockers and oral CAI was a significant surgical risk factor (hazard ratio: 2.65 and 2.45, p = 0.04 and <0.001). In the propensity score matching analysis, success rates at 1 year postoperatively were 55/85, 54/79, 60/73, and 40/76% for users/non‐users of β‐blockers, topical CAIs, an alpha‐2 adrenergic agonist, and an oral CAI, respectively. Kaplan–Meier survival curves in these comparisons also demonstrated that preoperative β‐blockers and oral CAI use were significant surgical risks (p = 0.01, <0.001).ConclusionOur study suggests that preoperative medications that do not involve conventional pathway outflow have a detrimental effect on subsequent Schlemm's canal surgery outcomes.
Juçara palm ecological interactions threatened by climate and land‐cover changes
Authors: Quitete Portela Rita de Cássia , Tourinho Luara , Viana dos Santos Thamyris , M. Vale Mariana 
Published: September 2023

AbstractOngoing climate change has caused well‐documented displacements of species' geographic distribution to newly climatically suitable areas. Ecological niche models (ENM) are widely used to project such climate‐induced changes but typically ignore species' interspecific interactions that might facilitate or prevent its establishment in new areas. Here, we projected the change in the distribution of Juçara Palm (Euterpe edulis Mart., Arecaceae), a neotropical threatened palm, taking into consideration its ecological interactions. We run ENMs of E. edulis, plus its known seed dispersers (15 bird species) and predators (19 birds and mammals) under current and future climatic conditions. Additionally, for E. edulis, we removed deforested areas from the model. When considering only climate, climate change has a positive impact on E. edulis, with a predicted westward expansion and a modest southward contraction, with a 26% net gain in distribution by 2060. When removing deforested areas, however, climate change harms E. edulis, with a 66% predicted net distribution loss. Within the palm's distribution in this more realistic model, there is also a predicted reduction in the richness of its dispersers and predators. We conclude that the possible benefits of climate change to E. edulis' distribution are overshadowed by widespread habitat loss, and that global change is likely to disrupt some of its ecological interactions. The outcome of the interplay between the negative impact of the loss of dispersers, and the benefit of the loss of predators, is unclear, but the large contraction of E. edulis' range predicted here foresees a dim future for the species.Abstract in Portuguese is available with online material.
Collagen XVII regulates tumor growth in pancreatic cancer through interaction with the tumor microenvironment
Authors: Kashiwagi Ryosuke , Funayama Ryo , Aoki Shuichi , Matsui Aya , Klein Sebastian , Sato Yukihiro , Suzuki Tsubasa , Murakami Keigo , Inoue Koetsu , Iseki Masahiro , Masuda Kunihiro , Mizuma Masamichi , Naito Hisamichi , Duda Dan G. , Unno Michiaki , Nakayama Keiko 
Published: September 2023

AbstractExpression of the gene for collagen XVII (COL17A1) in tumor tissue is positively or negatively associated with patient survival depending on cancer type. High COL17A1 expression is thus a favorable prognostic marker for breast cancer but unfavorable for pancreatic cancer. This study explored the effects of COL17A1 expression on pancreatic tumor growth and their underlying mechanisms. Analysis of published single‐cell RNA‐sequencing data for human pancreatic cancer tissue revealed that COL17A1 was expressed predominantly in cancer cells rather than surrounding stromal cells. Forced expression of COL17A1 did not substantially affect the proliferation rate of the mouse pancreatic cancer cell lines KPC and AK4.4 in vitro. However, in mouse homograft tumor models in which KPC or AK4.4 cells were injected into syngeneic C57BL/6 or FVB mice, respectively, COL17A1 expression promoted or suppressed tumor growth, respectively, suggesting that the effect of COL17A1 on tumor growth was influenced by the tumor microenvironment. RNA‐sequencing analysis of tumor tissue revealed effects of COL17A1 on gene expression profiles (including the expression of genes related to cell proliferation, the immune response, Wnt signaling, and Hippo signaling) that differed between C57BL/6‐KPC and FVB‐AK4.4 tumors. Our data thus suggest that COL17A1 promotes or suppresses cancer progression in a manner dependent on the interaction of tumor cells with the tumor microenvironment.