bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors associated with depression among prisoners in Mizan prison institute, southwest Ethiopia
Authors: Girma Bethelehem , Taye Abonesh , Wondimu Wondimagegn , Sinaga Melese 
Published: September 2021

Purpose
In spite of the vulnerability of prisoners to depression and their increased number, the issue has not been thoroughly investigated in Ethiopia. In particular, the determining factors of depression have not been exhaustively identified. Thus, the purpose of this study is to assess the prevalence of depression and associated factors among prisoners in Mizan prison institute, southwest Ethiopia.

Design/methodology/approach
An institution-based cross-sectional study was conducted from April 6–27, 2020. A total of 340 randomly selected prisoners were included. Depression was assessed using the Patient Health Questionnaire-nine and participants were considered to be in a state of depression if they scored five and above. Binary logistic regression was used to assess the association between the outcome variable (depression) and the independent variables (factors). The odds ratio with a 95% confidence interval (CI) was used to measure the strength of association. The final significance was decided using a p-value < 0.05.

Findings
The prevalence of depression was 29.9% (95% CI: 25%, 34.8%). Prisoners whowere not participating in the duty work of the prison had 55% (adjusted odds ratio [AOR] = 0.45; 95% CI: 0.22, 0.93) less odds of depression compared to those who were participating in the duty work. Similarly, physically active respondents had 81% (AOR = 0.19; 95% CI: 0.10, 0.35) less odds of depression than physically inactive respondents. Moreover, undernourished participants had two times (AOR = 2.03; 95% CI: 1.08, 3.82) higher odds of depression than normal participants.

Research limitations/implications
Considering their risk of exposure compared to the general population and the limitations of cross-sectional study design, special care should be provided to the prisoners’ mental health. Moreover, priority attention should be given to the undernourished, physically inactive and those who are participating in duty work in the prison.

Originality/value
This study demonstrated important and modifiable factors associated with prisoners’ depression. It also evaluated the contribution of new variables (such as participation in the duty work, nutritional status and physical activity) that were not considered in previous local studies.
Sustainable lubrication: low molecular weight PTFE micro-particles as extreme pressure additives for heavy duty grease applications
Authors: Gupta TCSM , Kumar Ajay , Prasad Babu 
Published: September 2021

Purpose
The purpose of this paper is to formulate heavy-duty lithium complex grease using low molecular weight poly tetra fluoro ethylene (PTFE) micro-particles as extreme pressure (EP) additive manufactured by E-beam scissoring and ultra-high speed grinding process of pre-sintered PTFE scrap.

Design/methodology/approach
Lithium complex grease is formulated with PTFE micro-particles, and optimum treat rate was studied by standard bench tests by ASTM D 2266 and IP-239 for tribological properties and compared with commercially available Molybdenum Di sulphide (Moly)-based lithium complex grease. The performance of the grease was further evaluated by a cyclic load test at varying speeds and loads to simulate the operational field conditions.

Findings
The lithium complex PTFE grease was manufactured using PTFE micro-particles as EP additive. The PTFE micro-particles dispersed in the lithium complex grease significantly improve the anti-wear performance and load bearing properties. Further, when the product was tested under a cyclic load conditions on standard tribological bench test against commercially available Moly lithium complex grease, shows stable anti-wear properties and reduced coefficient of friction.

Originality/value
The low molecular weight PTFE micro-particles, manufactured in the in-house electron beam (E-beam) and ultra-high speed micronizer facility from a pre-sintered PTFE scrap has been used as EP additive for grease applications for the first time. The results on the cyclic load tests indicate significant performance improvement in retaining the anti-wear and friction properties. Thus, value addition is done in formulating superior performance grease and evaluating under cyclic load conditions similar to field operating conditions and also in creating value added additives by converting the pre-sintered PTFE scarp which is environmental hazard due to poor biodegradability, creating a cyclic economy and a sustainable concept.
Selected macroeconomic determinants and economic growth in Cameroon (1970–2018) “dead or alive” an ARDL approach
Authors: Thaddeus Kesuh Jude , Ngong Chi Aloysius , Nebong Njimukala Moses , Akume Akume Daniel , Eleazar Jumbo Urie , Onwumere Josaphat Uchechukwu Joe 
Published: September 2021

PurposeThe purpose of this paper is to examine key macroeconomic determinants on Cameroon's economic growth from 1970 to 2018.Design/methodology/approachData were obtained from the World Development Indicators and applied on time series data econometric techniques. The auto-regressive distributed lag (ARDL) bounds model analyzed the data since the variables had different order of integration.FindingsThe results showed long and short runs’ positive and significant connection between economic growth in Cameroon and government expenditure; trade openness, gross capital formation and exchange rate. Human capital development, foreign aid, money supply, inflation and foreign direct investment negatively and significantly affected economic growth in the short and long-runs. Hence, the macroeconomic indicators are not death.Research limitations/implicationsThe present research paper has tried to capture the impact of nine macroeconomic determinants on economic growth such as the government expenditure (LNGOVEXP), human capital development (LNHCD), foreign aids (AID), trade openness (LNTOP), foreign direct investment (LNFDI), gross capital formation (INVEST), broad money (LNM2), official exchange rate (LNEXHRATE) and Inflation (LNINFLA). However, these variables have the tendency to affect each other in a unidirectional or bidirectional manner. Further, the present research paper is unable to capture the impact of other macroeconomic variable due to the unavailability of data.Practical implicationsThe study recommends that Cameroon should use proper planning and strategic policy interventions to achieve higher sustainable economic growth with human capital development, foreign aid, money supply, foreign direct investment and moderate inflation.Social implicationsMacroeconomic indicators, if managed well, increase economic growth.Originality/valueThis paper to the best of the researcher's knowledge presents new background information to both policymakers and researchers on the main macroeconomic determinants using econometric analysis.
Aspects of ICT connectivity among older adults living in rural subsidized housing: reassessing the digital divide
Authors: Golomski Casey , Corvini Marguerite , Kim BoRin , Wilcox John , Valcourt Scott 
Published: September 2021

PurposeThis article examines aspects of information communication technology (ICT) connectivity among the understudied population of low-income older adults living in rural and peri-urban subsidized housing. We aim to investigate if variations exist in access and connectivity when economic and housing conditions are constant and use data from northern New England.Design/methodology/approachThe multidisciplinary, mixed-methods approach involved administering structured surveys using iPads with senior residents (n = 91) from five housing sites, qualitative observations by field researchers and an ecological assessment of ICT resources at housing, community and state levels.FindingsAll subsidized housing sites were broadband accessible and nearby libraries. Fewer sites had Wi-Fi freely available to residents, and individual residents disparately accessed the Internet. Age and education demonstrably influenced ICT use of social media and email. Technology in the form of iPads used for surveys posed functional challenges for some older adults, but these technology-mediated interactions were also perceived as important sites of sociability.Originality/valueOlder adults disparately access and use ICT relative to socioeconomic status even as housing conditions remain constant, and access and use influences frequency of social connections with friends and family. The findings reveal factors that contribute to the existing digital divide facing older adults and broader lack of digital equity.
Exploring the indirect role of green business practices in transmitting eco-market orientation into positive organizational outcomes: an empirical study
Authors: Asamoah George Kwabena , Afum Ebenezer , Kusi Lawrence Yaw , Agyabeng-Mensah Yaw , Baah Charles 
Published: September 2021

PurposeThis study aims to examine whether the types of eco-market orientation (eco-proactive market orientation and eco-responsive market orientation) result in green knowledge acquisition and positive organizational outcomes (green customer satisfaction [GCS], green brand image [GBI] and green value-based competitiveness [GVC]). The study further aims to explore the mediation role of green business practices in the relationship between the types of eco-market orientation and organizational outcomes.Design/methodology/approachQuestionnaire was used to garner data from managers from Ghanaian hospitality firms. The hypothesized relationships were tested using partial least square structural equation modeling.FindingsThe result confirms the notion that although both eco-proactive market orientation and eco-responsive market orientation contribute significantly to enhancing the acquisition of green knowledge, eco-responsive market orientation has a strong effect on green knowledge acquisition. Also, the outcome of the mediation analysis proves that green business practices (GBPs) play an important indirect role in the relationship between eco-market orientation (eco-proactive market orientation and eco-responsive market orientation), GCS, GBI and GVC.Originality/valueAnchored on the resource advantage theory and natural resource-based view theory, this study offers a fresh contribution to marketing and environmental management literature by developing a unified research model that explores the mediation roles of GBPs between the types of eco-market orientation (eco-proactive market orientation and eco-responsive market orientation), GCS, GBI and GVC.
Removal of Congo red from aqueous solution in single and binary mixture systems using Argan nutshell wood
Authors: El Khomri Mohammed , El Messaoudi Noureddine , Dbik Abdellah , Bentahar Safae , Lacherai Abdellah , Chegini Zahra Goodarzvand , Bouich Amal 
Published: September 2021

PurposeArgan nutshell wood (ANW) has been used in this study as an agricultural solid waste to remove Congo red (CR) from an aqueous solution in single and mixture binary in the presence of methylene blue (MB) or crystal violet (CV).Design/methodology/approachThe ANW was characterized by Fourier transform infrared and scanning electron microscope analysis. The effect of ANW dose (8–40 gL−1), contact time (0–180 min), pH of the solution (4–11) and CR dye concentration (100–500 mgL−1) on CR adsorption was studied in batch mode and evaluated by kinetic and isotherm models in a single system. In the binary system, the CR removal was studied from a CR + MB and CR + CV mixture with different percentages of dyes, ranging from 0% to 100%.FindingsThe pseudo-second-order and the Langmuir models could best describe the CR sorption onto ANW in a single system. In addition, in the case of the binary system, there is the appearance of a synergistic phenomenon between the CR and the other cationic dyes and the CR adsorption capacity increased until 12.24 mg g-1 and 12.06 mg g-1 in the presence of the MB and CV in the mixture, respectively.Practical implicationsThis study demonstrated that ANW prepared can be suggested as an excellent potential adsorbent to remove dyes from wastewaters from single and mixture systems.Originality/valueThis study is original.
A new combined transient extraction method coupled with WO3 gas sensors for polluting gases classification
Authors: Faleh Rabeb , Gomri Sami , Aguir Khalifa , Kachouri Abdennaceur 
Published: September 2021

Purpose
The purpose of this paper is to deal with the classification improvement of pollutant using WO3 gases sensors. To evaluate the discrimination capacity, some experiments were achieved using three gases: ozone, ethanol, acetone and a mixture of ozone and ethanol via four WO3 sensors.

Design/methodology/approach
To improve the classification accuracy and enhance selectivity, some combined features that were configured through the principal component analysis were used. First, evaluate the discrimination capacity; some experiments were performed using three gases: ozone, ethanol, acetone and a mixture of ozone and ethanol, via four WO3 sensors. To this end, three features that are derivate, integral and the time corresponding to the peak derivate have been extracted from each transient sensor response according to four WO3 gas sensors used. Then these extracted parameters were used in a combined array.

Findings
The results show that the proposed feature extraction method could extract robust information. The Extreme Learning Machine (ELM) was used to identify the studied gases. In addition, ELM was compared with the Support Vector Machine (SVM). The experimental results prove the superiority of the combined features method in our E-nose application, as this method achieves the highest classification rate of 90% using the ELM and 93.03% using the SVM based on Radial Basis Kernel Function SVM-RBF.

Originality/value
Combined features have been configured from transient response to improve the classification accuracy. The achieved results show that the proposed feature extraction method could extract robust information. The ELM and SVM were used to identify the studied gases.
The catabolic pathways of in situ rhizosphere PAH degraders and the main factors driving PAH rhizoremediation in oil‐contaminated soil
Authors: Li Jibing , Luo Chunling , Zhang Dayi , Zhao Xuan , Dai Yeliang , Cai Xixi , Zhang Gan 
Published: September 2021

SummaryRhizoremediation is a potential technique for polycyclic aromatic hydrocarbon (PAH) remediation; however, the catabolic pathways of in situ rhizosphere PAH degraders and the main factors driving PAH rhizoremediation remain unclear. To address these issues, stable‐isotope‐probing coupled with metagenomics and molecular ecological network analyses were first used to investigate the phenanthrene rhizoremediation by three different prairie grasses in this study. All rhizospheres exhibited a significant increase in phenanthrene removal and markedly modified the diversity of phenanthrene degraders by increasing their populations and interactions with other microbes. Of all the active phenanthrene degraders, Marinobacter and Enterobacteriaceae dominated in the bare and switchgrass rhizosphere respectively; Achromobacter was markedly enriched in ryegrass and tall fescue rhizospheres. Metagenomes of 13C‐DNA illustrated several complete pathways of phenanthrene degradation for each rhizosphere, which clearly explained their unique rhizoremediation mechanisms. Additionally, propanoate and inositol phosphate of carbohydrates were identified as the dominant factors that drove PAH rhizoremediation by strengthening the ecological networks of soil microbial communities. This was verified by the results of rhizospheric and non‐rhizospheric treatments supplemented with these two substances, further confirming their key roles in PAH removal and in situ PAH rhizoremediation. Our study offers novel insights into the mechanisms of in situ rhizoremediation at PAH‐contaminated sites.
Dynamic evolution of eukaryotic mitochondrial and nuclear genomes: a case study in the gourmet pine mushroom Tricholoma matsutake
Authors: Zhang Shu , Bai Xue , Ren Li‐Yuan , Sun Hui‐Hui , Tang Hui‐Ping , Vaario Lu‐Min , Xu Jianping , Zhang Yong‐Jie 
Published: September 2021

SummaryFungi, as eukaryotic organisms, contain two genomes, the mitochondrial genome and the nuclear genome, in their cells. How the two genomes evolve and correlate to each other is debated. Herein, taking the gourmet pine mushroom Tricholoma matsutake as an example, we performed comparative mitogenomic analysis using samples collected from diverse locations and compared the evolution of the two genomes. The T. matsutake mitogenome encodes 49 genes and is rich of repetitive and non‐coding DNAs. Six genes were invaded by up to 11 group I introns, with one cox1 intron cox1P372 showing presence/absence dynamics among different samples. Bioinformatic analyses suggested limited or no evidence of mitochondrial heteroplasmy. Interestingly, hundreds of mitochondrial DNA fragments were found in the nuclear genome, with several larger than 500 nt confirmed by PCR assays and read count comparisons, indicating clear evidence of transfer of mitochondrial DNA into the nuclear genome. Nuclear DNA of T. matsutake showed a higher mutation rate than mitochondrial DNA. Furthermore, we found evidence of incongruence between phylogenetic trees derived from mitogenome and nuclear DNA sequences. Together, our results reveal the dynamic genome evolution of the gourmet pine mushroom.
A novel method for cyanide quantification in human whole blood using ion chromatography with amperometric detection and its application to cyanide intoxication cases
Authors: Sim Juhyun , Kim Minyoul , Kim Suncheun , Yang Wonkyung 
Published: September 2021

AbstractCyanide is a highly toxic agent that has been frequently used for suicide in South Korea. It is also used in various industrial fields, such as metal plating, in which many accidental cyanide intoxications have occurred. To overcome the disadvantages of conventional cyanide analysis methods, a simple and fast method for the analysis of cyanide in whole blood using ion chromatography (IC) with amperometric detection was developed in this study. Whole blood samples were deproteinized, diluted, and analyzed using an IC–amperometric detection system. The limits of detection and quantitation were 0.1 and 0.2 mg/L, respectively. The method showed good linearity in the range of 0.2 to 50 mg/L with R2 > 0.99. The intra‐ and inter‐assay precision and accuracy values were <10%. The established method was successfully applied to analyze whole blood samples from three cyanide intoxication cases.
Tooth hop variability in human and nonhuman bone: Effect on the estimation of saw blade TPI
Authors: Grosso Alicia R. 
Published: September 2021

AbstractForensic research has demonstrated that tooth hop (TH) is a valuable measurement from saw‐cut bones as it can be used to estimate teeth‐per‐inch (TPI) of a saw used in postmortem dismemberment cases. However, error rates for TPI estimation are still under development and knowledge of how bone tissue affects TH measurements remains unclear. The purpose of this research was to investigate the effects of tissue variability through the use of different taxa on the accuracy and precision of TH measurements in the bone to estimate TPI of the blade. A total of 1766 TH measurements were analyzed from human, pig, and deer long bones cut by two 7 TPI saw blades of different tooth type. Fifty distance‐between‐teeth measurements before and after sawing were collected directly from each blade for comparison to bone‐measured TH to assess potential effects of tooth wear on TH variability. ANOVA and F tests were used to compare mean TH and variance, respectively, by saw‐species (i.e., crosscut‐deer, rip‐deer) and species groups (i.e., all deer, all pig), with significance determined at the p < 0.05 level. TH measurements were converted to usable TPI ranges, which would typically be presented in a forensic report. It is concluded that significant differences in TH (mm) do not necessarily reflect significant differences in associated TPI ranges of suspect blades. Forensic reports should report mean TPI ± 1.5–2.5 TPI while providing a sample size indicating number of TH measured rather than just number of cuts or cut surfaces examined.
Optimising sampling designs for habitat fragmentation studies
Authors: Bowler Ellen , Lefebvre Veronique , Pfeifer Marion , Ewers Robert M. 
Published: September 2021

Abstract

Habitat fragmentation has become one of the largest areas of research in conservation biology. Empirical studies into habitat fragmentation impacts typically measure ecological responses to metrics describing fragmentation processes, for example ‘distance to the nearest forest edge’, ‘forest fragment area’ and ‘landscape habitat amount’. However, these studies often fail to sample across representative ranges of fragmentation metrics characterising the study region. They therefore lack the data to account for correlation among multiple fragmentation metrics and for spatial autocorrelation among sample sites, which reduces the strength of derived predictive models.

Here, we draw on approaches used in the mining and soil science industry to develop standardised and repeatable protocols for designing optimised sampling schemes of biodiversity in fragmented landscapes that meet three criteria: the distance between sample sites is maximised to reduce spatial autocorrelation, the full range of values of the metrics of interest are sampled and the confounding effects of correlated metrics are minimised.

We show that our computational methods can optimise the placement of sample sites in fragmented landscapes to minimise, and in some cases to entirely avoid, over‐ or under‐sampling of fragmentation metrics. Our method is flexible enough to cater for any continuous (e.g. maps of percentage tree cover) or categorical (e.g. habitat and land use types) fragmentation metric, and to simultaneously handle combinations of multiple fragmentation metrics and habitat types. We implement our methods as open‐source code which includes options to mask invalid or inaccessible regions, update designs to adapt to unforeseen constraints in the field and suggest optimal numbers of sample sites for given design criteria.

Using a case study landscape, we demonstrate how the approach improves on manually generated sampling designs. We also show that the methods are flexible enough to be applied to landscape studies beyond the field of habitat fragmentation. We introduce our package as a novel research tool that is able to streamline the experimental design process for biodiversity sampling and monitoring at landscape scales, leading to improved data quality and representativeness.