Miracle-dz/UniFAR-FTUs huggingface dataset:
A Global Research Trend on Organizational Citizenship Behaviour: A Bibliometric Analysis

ARTICLE DETAILS ABSTRACT History Revised format: May 2020 Available Online: June 2020 Objective: There are limited literatures that discussed on the trend of OCB. Hence, this bibliometric analysis is aimed to evaluate the global research growth to retrieve and analyse the publication on OCB. The bibliometric analysis is used to search the database of Scopus from the oldest publication in 1988 to the recent publication in 2019. The objectives were to evaluate the trend of OCB research, details of coauthorship, leading institutions and countries, top scholars, and leading author keywords. Methodology: This study used VOS Viewer 1.6. 11 to analyse and visualise the global research trend on OCB in analysing the bibliographic data. Bibliometric maps were retrieved from VOS Viewer 1.6. 11. Results: This study retrieved 2, 356 journal articles from Scopus database from 1988 to 2019. The publication’s trend revealed that the number of publications has been increasing steadily since 2002. The leading countries in OCB research are the United States and China. Among the fifteen leading universities, five of them were from the world’s top 150 universities. Among the keywords, ‘commitment’ has the most link with OCB, which indicated that OCB is active in the management field compared to other fields such as nursing and psychology. Implication: This paper can be beneficial for academicians, organisations, and business policymakers in understanding the global trend of OCB besides discovering the future directions and opportunities for future studies.
Design of Compact UWB Filter Using Parallel-coupled Line and Circular Open-circuited Stubs

This article encompasses the design of compact ultra-wideband (UWB) bandpass filter with low insertion loss and high selectivity using circular open-circuited stubs (COSs). Low insertion loss from two COSs and Multiple Mode Resonator (MMR) from three pairs of parallel-coupled lines are constituted to obtain the UWB band. The proposed filter has multiple resonant frequencies in the passband and two transmission zeros perceived at stop band/passband transition edges. It has a 3-dB fractional bandwidth of 110% and it covers the entire UWB band of 3.1–10.6 GHz. The measured passband insertion loss and group delay are 0.35 dB and 0.42 ns, respectively. Moreover, the presented filter is a single-layered structure since it is more comfortable to be integrated into a printed circuit board (PCB). The simulated and measured performance of the presented filter is in good agreement. The filter finds its application in low power handling single-layered PCBs, unlicensed short and medium distance communications.
Active biodegradable packaging films modified with grape seeds lignin

Biodegradable packaging materials represent one possible solution for how to reduce the negative environmental impact of plastics. The main idea of this work was to investigate the possibility of utilizing grape seed lignin for the modification of polyhydroxyalkanoates with the use of its antioxidant capacity in packaging films. For this purpose, polymeric films based on the blend of high crystalline poly(3-hydroxybutyrate) (PHB) and amorphous polyhydroxyalkanoate (PHA) were prepared. PHB/PHA films displayed Young modulus of 240 MPa, tensile strength at a maximum of 6.6 MPa and elongation at break of 95.2%. The physical properties of PHB/PHA films were modified by the addition of 1–10 wt% of grape seeds lignin (GS-L). GS-L lignin showed a high antioxidant capacity: 238 milligrams of Trolox equivalents were equal to one gram of grape seeds lignin. The incorporation of grape seeds lignin into PHB/PHA films positively influenced their gas barrier properties, antioxidant activity and biodegradability. The values of oxygen and carbon dioxide transition rate of PHB/PHA with 1 wt% of GS-L were 7.3 and 36.3 cm3 m−2 24 h 0.1 MPa, respectively. The inhibition percentage of the ABTS radical determined in PHB/PHA/GS-L was in the range of 29.2% to 100% depending on the lignin concentration. The biodegradability test carried out under controlled composting environment for 90 days showed that the PHB/PHA film with 50 w/w% of amorphous PHA reached the degradability degree of 68.8% being about 26.6% higher decomposition than in the case of neat high crystalline PHB film. The degradability degree of PHA films in compost within the tested period reflected the modification of the semi-crystalline character and varied with the incorporated lignin. From the toxicological point of view, the composts obtained after biodegradation of PHA films proved the non-toxicity of PHB/PHA/GS-L materials and its degradation products showed a positive effect on white mustard (Sinapis alba L.) seeds germination.
Leaf Habit and Stem Hydraulic Traits Determine Functional Segregation of Multiple Oak Species along a Water Availability Gradient

Oaks are a dominant woody plant genus in the northern hemisphere that occupy a wide range of habitats and are ecologically diverse. We implemented a functional trait approach that included nine functional traits related to leaves and stems in order to explain the species coexistence of 21 oak species along a water availability gradient in a temperate forest in Mexico. This particular forest is characterized as a biodiversity hotspot, with many oak species including some endemics. Our main aim was to investigate whether the different oak species had specific trait associations that allow them to coexist along an environmental gradient at regional scale. First, we explored trait covariation and determined the main functional dimensions in which oaks were segregated. Second, we explored how environmental variation has selected for restricted functional dimensions that shape oak distributions along the gradient, regardless of their leaf life span or phylogeny (section level). Third, we quantified the niche overlap between the oak functional spaces at different levels. The analyzed species showed three functional dimensions of trait variation: a primary axis related to the leaf economic spectrum, which corresponds to the segregation of the species according to leaf habit; a second axis that reflects the stem hydraulic properties and corresponds to species segregation followed by phylogenetic segregation, reflecting some degree of trait conservatism, and a third axis, represented mainly by leaf area and plant height, that corresponds to species segregation. Finally, our findings indicated that the functional space measured with leaf traits and stem traits such as hydraulic capacity was integrally linked to niche differentiation. This linkage suggests that the earliest mechanism of species segregation was related to habitat suitability and that the stem hydraulic trade-off reflects differences between phylogenetic sections; these traits may promote coexistence between distantly related oak species.
On missing random effects in machine learning

Abstract The large availability of undesigned data, a by-product of chemical industrial research and manufacturing, makes it attractive the venturesome use of machine learning for its plug-and-play appeal in attempt to extract value out of this data. Often this type of data does not only reflect the response to controlled variation but also to that caused by random effects. Thus, machine learning based models in this industry may easily miss active random effects out. This study shows by simulation the effect of missing a random effect via machine learning — vs. including it properly via mixed models as a benchmark — in a context commonly encountered in the chemical industry — mixture experiments with process variables — and as a function of relative cluster size, total variance, proportion of variance attributed to the random effect, and data size. Simulation was employed for it allows the comparison — missing vs. not missing random effects — to be made clear and in a simple manner while avoiding unwanted confounders found in real world data. Besides the long-established fact that machine learning performs better the larger the size of the data, it was also observed that data lacking due specificity — i.e. without clustering information — causes critical prediction biases regardless the data size.
Confidence and gender differences within a work-integrated learning programme: evidence from a UK higher education institution

ABSTRACT This paper explores students’ assessment of several competencies to perform a job as part of the economic undergraduate programme at the University of Surrey. The first aim is to study how confident students are in six different areas (cognitive abilities, personal characteristics, transferable competencies, subject-specific expertise, organisational awareness, and professionalism) related to competencies during their Professional Training Year (PTY). We find evidence of a positive learning curve in all six areas. Specifically, students are under-confident in those areas at the beginning of their PTY, however, under-confidence disappears during the rest of the placement year. The second aim is to investigate whether the way students assess themselves and whether the way workplace supervisors assess students’ performance are affected by gender or not. Despite differences in students’ academic performance by gender, we find little evidence of student self-assessment gender differential on competencies to perform a job, with female students rating themselves with lower scores in two areas (transferable competencies and subject-specific expertise) than male students. Finally, we find limited evidence of differences in workplace supervisors’ assessment by gender.
Modélisation mathématique de la réponse lymphocytaire T spécifique à une infection virale

Le lymphocyte T est une cellule cle de l'immunite specifique. Dans le but de creer un outil de comprehension et de prediction de certains mecanismes immunitaires, une modelisation de la reponse immunitaire du lymphocyte T est proposee. L'activation du lymphocyte par la reconnaissance d'un peptide apprete par une cellule presentatrice d'antigene est une etape essentielle de cette reponse immunitaire. Cette activation a ete modelisee par un systeme d'equations differentielles ordinaires, de type cinetique chimique, representant l'evolution temporelle des concentrations de differentes proteines lymphocytaires (TCR/CD3, CD28, CD69, CD25, IL-2). Afin de considerer une quantite d'antigene variable dans l'organisme, un modele de proliferation virale a aussi ete ecrit, base sur des exemples de modeles proies/predateurs, obtenant ainsi un systeme d'equations differentielles ordinaires mettant en jeu un virus donne, les cellules cibles du virus, saines ou infectees, et l'action des lymphocytes T cytotoxiques. Un couplage de ces deux modeles (activation lymphocytaire T et proliferation virale) permet une approche de simulation de la reponse lymphocytaire T specifique a une infection virale.
Community perceptions on the benefits and challenges of community-based natural resources management in Zimbabwe

ABSTRACT Community-based natural resource management (CBNRM) emphasises the role and benefits of local communities in order to promote a sustainable utilisation of natural resources. This study aims to identify and analyse the locally perceived benefits and challenges of CBNRM practices in Hwange National Park, Zimbabwe. A specific focus is on Communal Area Management Programme for Indigenous Resources (CAMPFIRE), which has faced challenges due to changes in the political and economic environment in the country. The findings based on a household survey from three wards adjacent to Hwange National Park suggest that community members have negative perceptions on CAMPFIRE largely due to their non-involvement in the decision-making and management of the natural resources. The community members do expect to gain benefits from CAMPFIRE but they do not perceive and experience receiving any. Therefore, they consider facing mainly challenges from the Park, emanating from the current inefficiencies of CAMPFIRE.
Unravelling the Mechanisms that Drive the Performance of Photocatalytic Hydrogen Production

The increasing interest and applications of photocatalysis, namely hydrogen production, artificial photosynthesis, and water remediation and disinfection, still face several drawbacks that prevent this technology from being fully implemented at the industrial level. The need to improve the performance of photocatalytic processes and extend their potential working under visible light has boosted the synthesis of new and more efficient semiconductor materials. Thus far, semiconductor–semiconductor heterojunction is the most remarkable alternative. Not only are the characteristics of the new materials relevant to the process performance, but also a deep understanding of the charge transfer mechanisms and the relationship with the process variables and nature of the semiconductors. However, there are several different charge transfer mechanisms responsible for the activity of the composites regardless the synthesis materials. In fact, different mechanisms can be carried out for the same junction. Focusing primarily on the photocatalytic generation of hydrogen, the objective of this review is to unravel the charge transfer mechanisms after the in-depth analyses of already reported literature and establish the guidelines for future research.
Antarctic Ozone Enhancement During the 2019 Sudden Stratospheric Warming Event

We analyze the 2019 sudden stratospheric warming event that occurred in the Southern Hemisphere through its impact on the Antarctic ozone. Using temperature, ozone, and nitric acid data from the Infrared Atmospheric Sounding Interferometer (IASI), our results show that the average increase in stratospheric temperature reached a maximum of 34.4° on 20 September in the [60–90]°S latitude range when compared to the past 3 years. Dynamical parameters suggest a locally reversed and weakened zonal winds and a shift in the location of the polar jet vortex. This led to air masses mixing, to a reduced polar stratospheric clouds formation detected at a ground station, and as such to lower ozone and nitric acid depletion. 2019 total ozone columns for the months of September, October, and November were on average higher by 29%, 28%, and 26%, respectively, when compared to the 11‐year average of the same months.
Regulation of Adult Neurogenesis in the Cerebral Cortex

It is widely accepted that new neurons are generated throughout life, which is called adult neurogenesis, in limited regions of the adult mammalian brain, such as the hippocampal dentate gyrus and subventricular zone. In these regions, neural stem cells (NSCs) and neural progenitor cells (NPCs) have been reported to proliferate and produce postmitotic neurons. Adult neurogenesis in these regions is influenced by various factors. For examples, antidepressant treatments, learning and memory, and environmental enrichment prompt to increase generation and survival of new neurons. Moreover, pathological processes, such as neuroinflammation, stroke or epilepsy, are able to induce proliferation and differentiation of NSCs and NPCs. In contrast, down-regulation of adult neurogenesis is associated with alcohol abuse, high stress level, some drugs, such as cytostatics, COX-2 inhibitors, and opioides. Recently, adult neurogenesis in the cerebral cortex is becoming clear gradually, and cortical NSCs and NPCs are identified in a few mammals. However, it remains largely unknown what factors can regulate adult neurogenesis in the cerebral cortex. This review focuses on the effects of regulating factors on cortical adult neurogenesis, such as brain damages, aging and certain drugs, and we discuss implications of cortical adult neurogenesis for brain diseases and damages.
Thermal Management of Stationary Battery Systems: A Literature Review

Stationary battery systems are becoming increasingly common worldwide. Energy storage is a key technology in facilitating renewable energy market penetration and battery energy storage systems have seen considerable investment for this purpose. Large battery installations such as energy storage systems and uninterruptible power supplies can generate substantial heat in operation, and while this is well understood, the thermal management systems that currently exist have not kept pace with stationary battery installation development. Stationary batteries operating at elevated temperatures experience a range of deleterious effects and, in some cases, serious safety concerns can arise. Optimal thermal management prioritizes safety and balances costs between the cooling system and battery degradation due to thermal effects. Electric vehicle battery thermal management has undergone significant development in the past decade while stationary battery thermal management has remained mostly stagnant, relying on the use of active and passive air cooling. Despite being the default method for thermal management, there is an absence of justifying research or comparative reviews. This literature review seeks to define the role of stationary battery systems in modern power applications, the effects that heat generation and temperature have on the performance of these systems, thermal management methods, and future areas of study.
Total coliform and Escherichia coli in microplastic biofilms grown in wastewater and inactivation by peracetic acid

Microplastics (MP) have been proposed as a vector for pathogenic microorganisms in the freshwater environment. The objectives of this study were (a) to compare the fecal indicator growth in biofilms on MP and material control microparticles incubated in different wastewater fractions and (b) to compare MP biofilm, natural microparticle biofilm, and planktonic cell susceptibility to disinfection by peracetic acid (PAA). Biofilms were grown on high‐density polyethylene, low‐density polyethylene, polypropylene MP, or wood chips (as a material control) and incubated in either wastewater influent or pre‐disinfection secondary effluent. Reactors were disinfected with PAA, biofilms were dislodged, and total coliform and Escherichia coli were cultivated. Fecal indicators were quantifiable in both MP and wood biofilms incubated in the wastewater influent but only on the wood biofilms incubated in secondary wastewater effluent. More total coliform grew in the wood biofilms than MP biofilms, and the biofilms grown on MP and woodchips were more resistant to disinfection than planktonic bacteria. Thus, it may be possible to refer to the disinfection literature for fecal indicators in biofilm on other particles to predict behavior on MP. Treatments that remove particles in general would help reduce the potential for fecal indicator bypass of disinfection.
Diversification among New World leaf-nosed bats : an evolutionary hypothesis and classification inferred from digenomic congruence of DNA sequence /

We assessed phylogenetic relationships among 48 of 53 genera of phyllostomid bats based on mitochondrial DNA (mtDNA) sequence data encompassing three adjacent genes (12S rRNA, tRNA^a^} 16S rRNA). We employed Bayesian methods to produce an mtDNA tree, to reanalyze the nuclear Recombination-Activating Gene-2 (.RAG2) sequence data, and to produce a tree of concatenated mtDNA and RAG2 data. We compared these gene trees with a recent total-evidence phylogeny based primarily on morphology. The congruence across all three trees (mtDNA, RAG2, total-evidence), was 16 of 55 nodes with identical content. The majority of incongruencies involved nodes that were weakly supported in the total-evidence tree. There was greater congruence between data sets from the mitochondrial and nuclear genomes, with 37 of 55 nodes identical in content. Analysis of the concatenated molecular data (about 4.0 kilobases) produced nearly identical branching patterns but with higher statistical support. Forty-eight of 55 generated clades received Bayesian posterior probabilities >0.95 and 42 had a probability of 1.00. The seven weakly-supported clades occurred in the middle or terminal part of the tree. We interpret the Bayesian posterior probability values as well as the observation that the total number of shared nodes (37 of 55) between the gene trees (support from two independent genomes) as strong evidence that these nodes, as identified, have a high probability of reflecting evolutionary relationships. We contend that digenomic congruence with concomitant statistical support is a robust statement in phylogeny reconstruction. Using the molecular and total-evidence trees and other information (e.g., karyotypes), we developed a higher-level classification for the family Phyllostomidae that includes 56 genera in 11 subfamilies: Macrotinae, Micronycterinae, Desmodontinae, Lonchorhininae, Phyllostominae, Glossophaginae, Lonchophyllinae, Carolliinae, Glyphonycterinae, Rhinophyllinae, and Stenodermatinae. Our arrangement differs substantially from previous classifications. For example, members of the traditional subfamily Phyllostominae are divided into five subfamilies. Front cover: Artwork by Fiona Reid depicting the five lineages of the former Phyllostominae that are representative of subfamilies in the classification proposed herein. Taxa (from left to right) are: Micronycteris hirsuta, Lonchorhina aurita, Trinycteris nicefori, Macrotus californicus, and Tonatia sauropkila.
A review of molybdenum disulfide (MoS2) based photodetectors: from ultra-broadband, self-powered to flexible devices

Two-dimensional transition metal dichalcogenides (2D TMDs) have attracted much attention in the field of optoelectronics due to their tunable bandgaps, strong interaction with light and tremendous capability for developing diverse van der Waals heterostructures (vdWHs) with other materials. Molybdenum disulfide (MoS2) atomic layers which exhibit high carrier mobility and optical transparency are very suitable for developing ultra-broadband photodetectors to be used from surveillance and healthcare to optical communication. This review provides a brief introduction to TMD-based photodetectors, exclusively focused on MoS2-based photodetectors. The current research advances show that the photoresponse of atomic layered MoS2 can be significantly improved by boosting its charge carrier mobility and incident light absorption via forming MoS2 based plasmonic nanostructures, halide perovskites–MoS2 heterostructures, 2D–0D MoS2/quantum dots (QDs) and 2D–2D MoS2 hybrid vdWHs, chemical doping, and surface functionalization of MoS2 atomic layers. By utilizing these different integration strategies, MoS2 hybrid heterostructure-based photodetectors exhibited remarkably high photoresponsivity raging from mA W−1 up to 1010 A W−1, detectivity from 107 to 1015 Jones and a photoresponse time from seconds (s) to nanoseconds (10−9 s), varying by several orders of magnitude from deep-ultraviolet (DUV) to the long-wavelength infrared (LWIR) region. The flexible photodetectors developed from MoS2-based hybrid heterostructures with graphene, carbon nanotubes (CNTs), TMDs, and ZnO are also discussed. In addition, strain-induced and self-powered MoS2 based photodetectors have also been summarized. The factors affecting the figure of merit of a very wide range of MoS2-based photodetectors have been analyzed in terms of their photoresponsivity, detectivity, response speed, and quantum efficiency along with their measurement wavelengths and incident laser power densities. Conclusions and the future direction are also outlined on the development of MoS2 and other 2D TMD-based photodetectors.