Miracle-dz/UniFAR-FTUs huggingface dataset:
Tractor performance in function of storage period and different proportions of biodiesel and diesel.

Biodiesel is a renewable and biodegradable fuel produced from vegetable oil or animal fat by transesterification. The viability of this product as an alternative source of energy depends on several factors such as blend proportion and stability during storage since the availability of raw materials is seasonal and varies according to the harvest of each crop. This study aimed to evaluate the operational performance and the smoke density of the tractor operating on biodiesel from castor oil. The factors studied were the storage period and biodiesel/diesel blend proportion. The fuel storage periods was zero, three and six months after the date of production and biodiesel/diesel blend proportions were 0% of biodiesel (B0), 5% of biodiesel (B5), 25% of biodiesel (B25), 50% of biodiesel (B50) and 100% of biodiesel (B100). The results showed an increase in the specific fuel consumption from the blend with 25% biodiesel, however, the storage period had no effect on consumption. Smoke density was reduced with the addition of 5% biodiesel, noting that the storage period influenced this variable.
Employ 6D-BIM Model Features for Buildings Sustainability Assessment

To translate sustainable concepts into sustainable structure, there is a require a collaborative work and technology to be innovated, such as BIM, to connect and organize different levels of industry e.g. decision-makers, contractors, economists, architects, urban planners, construction supplies and a series of urban planning and strategic infrastructure for operate, manage and maintain the facilities. This paper will investigate the BIM benefits as a project management tool, its effectiveness in sustainable decision making, also the benefit for the local industry key stakeholders by encouraging the BIM use as a project management tool to produce a sustainable building project. This paper presented a basic idea about the Building Information Model (BIM) technique and explain the levels of BIM and its dimension, the potential of BIM in sustainability design and the role of BIM in sustainability aspects had been discussed. The role of BIM in the planning and design stages explained the BIM role in sustainability rating system and grant credits in classification processes. Processing of creating 6D had been detailly explaining starting from the framework (ISO 1440) which adopted in the processing of establishing 6D complete system, phases of this system, and development steps from 3D to 4D, 4D to 5D and 5D to 6D. The 6D model features in the sustainability buildings had been explained in this research. As a result, many conclusions have been reached, the most important is there are still significant constraints in adopting of the integration approach between the (BIM) technology with sustainability in Iraqi buildings projects, both are facing great challenges in terms of economic, technical and the awareness level of government and society.
The contribution of work engagement and job satisfaction to workers’ psychological well-being

Workers are assets to increase the productivity of the company. Workers who have a good level of psychological well-being will be able to optimize their potency and, eventually, to perform a high level of productivity. A growing body of literature suggested that work-engagement and job satisfaction may affect psychological well-being. Therefore, this study aimed to investigate the relative contribution made by work engagement and job satisfaction to the psychological well-being of workers. Two hundred and six-nine workers (43.9% male and 56.1% female) participated in this study, which implemented the quantitative correlational research method. Work engagement was measured using the UWES-17 (Utrecht Work Engagement Scale), job satisfaction by using The Job Satisfaction Survey, and psychological well-being using Ryff’s Psychological Well-being Scales. The results from the linear regression analysis indicated that 41% of the variance could be explained by both work engagement and job satisfaction on the psychological well-being of workers. Work engagement and job satisfaction could create optimal psychological functioning and experience for workers, resulting in higher overall well-being. However, job satisfaction contributed independently to a slightly larger contribution (22.23%) than work-engagement did (18.86%). All in all, both work-engagement and job significantly satisfaction predicted the psychological well-being of workers.
Education and inclusive growth in West Africa

PurposeMany West African countries face the challenge of growth inclusiveness. The region is also facing challenges of equipping its teeming population with high-quality skills despite many reforms and initiatives introduced in the past. This study, thus, identifies education as a crucial contributory factor to growth inclusiveness in the region. It, therefore, examined the role of education in growth inclusiveness in West Africa between 1990 and 2017.Design/methodology/approachThe study utilised different proxies to capture quantity and quality dimensions of education. The unit root and ARDL “Bounds” tests were employed at a preliminary stage. Based on the preliminary tests, the study explored autoregressive distributed lags modelling technique to capture the short-run and long-run dynamic effects.FindingsThe empirical results reveal a positive impact of school enrolment measures in most of the countries in both short-run and long-run. Education quality measure exerts positive impact and significant in few countries under consideration.Practical implicationsThese countries should give adequate attention to quality when designing education policy to foster their inclusive growth.Originality/valueThis study highlights the critical role of education in the inclusive growth pursuit. Education quantity is important to growth inclusiveness but the quality of education is more fundamental. The quality of education possessed determine to a large extent, what individual can contribute to the productive activities within the economy and accessibility to benefits from economic prosperity.
Anti-mitotic and anti-proliferation potentials of aqueous and methanolic extracts of fermented Citrullus vulgaris (ogiri-egusi) seeds

There is a growing scientific evidence of the health-enhancing benefits of fermented food and beverages, especially in cancer prevention and treatment. Ogiri-egusi is an indigenously fermented condiment consumed in some West African countries, and prepared mainly from natural fermentation of melon (Citrullus vulgaris) seeds. The condiment has been previously reported to possess anti-oxidative and anti hyperlipid emic properties. In this study, different concentrations of ogiri-egusi extracts were exposed to actively dividing cells from Allium cepa meristematic roots and Saccharomyces cerevisiae for the antimitotic and antiproliferative investigations, respectively. There was a statistically significant reduction in mitotic activities of the treated A. cepa meristematic cells compared to the untreated cells. The mitotic index (MI) of the untreated cells was 28.38 ± 4.58. At a concentration of 1.0 mg/ml, the extracts induced a reduction in the MI to 6.02 ± 2.74 and 4.94 ± 0.61 in the aqueous and methanolic extractstreated cells, respectively. Some chromosomal aberrations were also observed. In addition, proliferation in yeast cells was significantly inhibited at all the concentrations of the aqueous extract examined as well as at the highest concentration of the methanolic extract. These results provide useful insights to the cytotoxic and genotoxic effects of fermented Citrullus vulgaris.
Biochemical and functional characterization of human RNA binding proteins

RNA not only shuttles information between DNA and proteins but also carries out many other essential cellular functions. Nearly all steps of an RNA's life cycle are controlled by approximately one thousand RNA binding proteins (RBPs) that direct RNA splicing, cleavage and polyadenylation, localization, translation, and degradation. Despite the central role of RBPs in RNA processing and gene expression, they have been less well studied than DNA binding proteins, in part due to the historical dearth of technologies to probe RBP binding and activity in a high-throughput, comprehensive manner. In this thesis, I describe the affinity landscapes of the largest set of human RBPs to date elucidated through a highthroughput version of RNA Bind-N-Seq (RBNS), an unbiased in vitro assay that determines the primary sequence, secondary structure, and contextual preferences of an RBP. The 78 RBPs bound an unexpectedly low diversity of RNA motifs, implying convergence of binding specificity toward a small set of RNA motifs characterized by low compositional complexity. Offsetting the low diversity of sequence motifs, extensive preferences for contextual features beyond short linear motifs were observed, including bipartite motifs, flanking nucleotide content, and preference for or against RNA structure. These features likely refine which motif occurrences are selected in cells, enabling RBPs that bind the same linear motif to act on distinct subsets of transcripts. Additionally, RBNS data is integrated with complementary in vivo binding sites from enhanced crosslinking and immunoprecipitation (eCLIP) and functional (RNAi/RNA-seq) data produced through collaborative efforts with the ENCODE consortium. These data enable creation of "RNA maps" of RBP activity in pre-mRNA splicing and gene expression levels, either with (eCLIP) or without (RBNS) crosslinking-based assays. The mapping and characterization of RNA elements recognized by over 200 human RBPs is also presented in two human cell lines, K562 and HepG2 cells. Together, these novel data augment the catalog of functional elements encoded in the human genome to include those that act at the RNA level and provide a basis for how RBPs select their RNA targets, a fundamental requirement in more fully understanding RNA processing mechanisms and outcomes.
Protection efficiencies of surface‐active inhibitors in zinc‐air batteries

Zinc (Zn) particles in alkaline electrolyte of a Zn‐air battery (ZAB) are unstable and prone to corrosion. Zinc oxide (ZnO) generated on the surface of Zn particles affects the electrochemical reactions and reduces the battery efficiency. Thus, inhibiting the self‐corrosion rate of Zn particles has become acritical issue for the development of these batteries. In this study, a research endeavor has been attempted by employing three types and concentrations of organic inhibitors in ZABs to constrain Zn anode corrosion. Significant analyses like polarization curve, constant current discharge, AC impedance, and dendrite growth are executed for in‐depth understanding of the influences of these inhibitors. The experimental results reveal that the inhibiting efficiency of 10 wt% Sodium dodecyl benzene sulfonate surpassed polyethylene glycol 600 (PEG 600) and polysorbate 20 (Tween 20), with a maximum current density of 476.20 mA/cm2 and voltage output of 1.4 V along with discharge capacitance of 10.31 Ah for 2 hours and 8 minutes. Zn anode surface analysis exposes significant dendrite growth and elemental Zn required for passivation suppression. Nevertheless, the results are also justified by Nyquist and Bode plots. Thus, the selected inhibitor will proficiently guarantee the enhanced performance and stability of the ZABs obtained and provide enormous opportunities for its applications.
Assessing the Intensity of the Usability of the Course Content within the Virtual Learning Environment

Nowadays, education is a complex process that has many advantages. This is obvi-ously proven, as there are high demands on skills in today’s world. Therefore, it is a good approach to acquire this knowledge during the studies. Therefore, the re-quirement is aimed at the constantly improving and acquiring new experiences. In order to meet as many of these parameters as possible, it is important that we have an appropriately structured environment for students. The teaching process can be interpreted in several ways. In our research, we focus mainly on teaching through e-learning systems. Obviously, these supporting systems have many advanced func-tionalities to help make the whole learning process much easier to understand. In our work, we focus on methods and approaches by which we can evaluate student be-haviour and we can measure the justified course settings. We explored various man-agerial settings inside a concrete course structure. Subsequently there will be statistical evaluation of already cleaned and preprocessed data from the system. At the same time, based on these statistical confirmations, we can propose a set of methodologi-cal recommendations for the teacher, which will help us to improve the quality and effectiveness of the teaching process.
A bioenergetics model of the entire life cycle of the three-spined stickleback,gasterosteus aculeatus

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. A bioenergetics model of the entire life cycle of the three-spined stickleback, gasterosteus aculeatus Charlène Leloutre, Alexandre R.R. Pery, Jean-Marc Porcher, Rémy Beaudouin
Attosecond Soft-X-Ray Spectroscopy in a Transition Metal Dichalcogenide

Information about the real-time response of carriers to optical fields is paramount to advance information processing or to understand the bottlenecks of light-matter interaction and energy harvesting. Transition-metal dichalcogenide (TMDC) compounds are an emerging class of materials with attractive structural and electronic properties that can be thinned to the 2D limit and TiS2 is a paradigmatic example for a semi-metallic TMDC, since its electron mobility ranges between that of a metal and a semiconductor.
Deep neural networks as add-on modules for enhancing robot performance in impromptu trajectory tracking

High-accuracy trajectory tracking is critical to many robotic applications, including search and rescue, advanced manufacturing, and industrial inspection, to name a few. Yet the unmodeled dynamics and parametric uncertainties of operating in such complex environments make it difficult to design controllers that are capable of accurately tracking arbitrary, feasible trajectories from the first attempt (i.e., impromptu trajectory tracking). This article proposes a platform-independent, learning-based “add-on” module to enhance the tracking performance of black-box control systems in impromptu tracking tasks. Our approach is to pre-cascade a deep neural network (DNN) to a stabilized baseline control system, in order to establish an identity mapping from the desired output to the actual output. Previous research involving quadrotors showed that, for 30 arbitrary hand-drawn trajectories, the DNN-enhancement control architecture reduces tracking errors by 43% on average, as compared with the baseline controller. In this article, we provide a platform-independent formulation and practical design guidelines for the DNN-enhancement approach. In particular, we: (1) characterize the underlying function of the DNN module; (2) identify necessary conditions for the approach to be effective; (3) provide theoretical insights into the stability of the overall DNN-enhancement control architecture; (4) derive a condition that supports data-efficient training of the DNN module; and (5) compare the novel theory-driven DNN design with the prior trial-and-error design using detailed quadrotor experiments. We show that, as compared with the prior trial-and-error design, the novel theory-driven design allows us to reduce the input dimension of the DNN by two thirds while achieving similar tracking performance.
Exploring functional fungi on organic matter decomposition of oil palm empty bunches as bio-resource in land remediation

Abstract. Rasyid B, Ala A, Kuswinanti T, Sapareng S. 2020. Exploring functional fungi on organic matter decomposition of oil palm empty bunches as bio-resource in land remediation. Biodiversitas 21: 4247-4252. Organic matter of oil palm by-product has the potential to be applied for land remediation. The objective of this experiment was to explore functional fungi on the decomposition effectivity of oil palm empty bunches. Samples were collected from oil palm plantation fields and oil palm factory. Isolated fungi from decomposed material (trunks and rod) were Penicillium sp. , Pleurotus sp. , Fusarium sp. , Chrysosporium sp. , and Aspergillus sp. Fungi in the empty fruit branches were identified as Absidia sp. , Tremella sp. , and Trichoderma sp. , Phytophthora sp. , Ulocladium sp. , and Chaetomium sp. Within all collected fungal isolates, Pleurotus sp. , Trichoderma sp. , and Tremella sp. were selected as functional fungi based on the results of the highest lignocellulolytic ability (50-75%). The degradation rate of organic matter of each functional fungi was observed as Trichoderma sp. (24.0%), Tremella sp. (20.0%), and Pleurotus sp. (16.0%). Change of C/N ratio as a result of decomposition showed significant difference compared to control with 22.09 by Trichoderma sp. , 24.26 by Pleurotus sp. , 26.68 by Tremella sp. and 36.58 in control. This study could be concluded that exploring functional fungi can potentially be applied in the decomposition of oil palm by-product effectively.
Mitochondrial DNA Sequence Variation and Human Population Structure in the Indian Subcontinent

An analysis of mitochondrial DNA (mtDNA) sequence variation among individuals of Indian origin was performed to compare mtDNA diversity within the Indian population to that of other human populations, and to examine Indian population substructure related to geographical location, spoken language and the caste system. A 195 bp non-coding segment of mitochondrial DNA was amplified and sequenced from 84 individuals representing a broad geographical distribution and three of the major castes. Sixty-one different haplotypes, and 54 polymorphic sites, corresponding to 28% of the sites analyzed, were found. The results obtained from the analysis of distributions of pairwise sequence differences, as well as phylogenetic analysis, are in agreement with rapid population expansion or steady growth as opposed to the maintenance of a constant population size. At 4 out of the 54 variable sites detected there was a significant difference between northern and southern populations. However, phylogenetic analysis revealed no significant population substructure with respect to either geographical distribution, language or the caste system. Some minor effects were observed in a significant under-representation of Dravidian language speakers, corresponding to individuals of south Indian origin, within one cluster, and a similar under-representation of members of the Vaisya caste in another cluster. The
The language of recovery

The present study attempts to make a comparative analysis of two Spanish and American political speeches, which belong to two different debate traditions, in terms of the metaphors used. For that purpose, we analyze the Economy sections of the 2015 State of the Union Address in the US and in the 2015 State of the Nation Debate in Spain. The present study aims at answering the following research questions: What metaphors do President Obama and Prime Minister Rajoy use in the American and Spanish political speeches to convince their audiences of America’s and Spain’s economic victory? What are the similarities and differences between the representations depicted by metaphor use in the speeches as the politicians attempt to shape the economic recovery of America and Spain after recession? To answer these questions, we use an analytical framework for the identification of conceptual metaphors and a theoretical framework for the use of conceptual metaphors (Lakoff & Johnson, 1980). The results indicate that both politicians use metaphors in an attempt to reify the new economy in such a way that the economic policies used to fight crisis are justified, while the negative effects on citizens are not mentioned and, thus, are dismissed as unimportant. However, the politicians take different approaches to reification.
A Comparative Study of Stress and Its Coping Methods on the Subjective Well-being of Adolescents in Urban and Rural Areas

The purpose of this study is to identify the level of stress and its coping methods on the subjective well-being of students and to compare the two between students from the urban and rural areas. Subjects of students from two middle schools in City S and two middle schools in City A in South Korea completed a structured questionnaire consisting of questions to understand the students’ stress levels and stress-coping methods. We analyzed the survey data from 219 responses, excluding unreturned or incomplete surveys. Data were analyzed using the t-test and x test to determine the differences in stress and stress -coping methods of adolescents. The mean stress score of students from urban schools was 2.06 and the mean stress score of students from rural schools was 1.92(t=-1.821, p>.05). Therefore, this study identified a significant correlation between task-focused (r=.512, p<.01), emotion-focused (r=.075, p<.01) evasion-focused (r=.314, p<.01) stress-coping methods and positive emotions of subjective well-being on students from urban and rural schools.
In-vivo bone segmentation approach for Total Knee Arthroplasty

Perceiving and making sense of the surgical scene during Total Knee Arthroplasty (TKA) surgery is crucial for building assistance and decision support systems for surgeons and their team. However, the need for large volumes of annotated and structured data for AI-based methods hinders the development of such tools. We hereby present a study on the use of transfer learning to train deep neural networks with scarce annotated data to automatically detect bony areas on live images. We provide quantitative evaluation results on in-vivo data, captured during several TKA procedures. We hope that this work will facilitate further developments of smart surgical assistance tools for orthopaedic surgery.
Face morph detection for unknown morphing algorithms and image sources: a multi-scale block local binary pattern fusion approach

: The vulnerability of face recognition systems against so-called morphing attacks has been revealed in the past years. Recently, different kinds of morphing attack detection approaches have been proposed. However, the vast majority of published results has been obtained from rather constrained experimental setups. In particular, most investigations do not consider variations in morphing techniques, image sources, and image post-processing. Hence, reported performance rates can not be maintained in realistic scenarios, as the NIST FRVT MORPH performance evaluation showed. In this work, existing algorithms are benchmarked on a new, more realistic database. This database consists of two different data sets, from which morphs were created using four different morphing algorithms. In addition, the database contains four different post-processings (including print-scan transformation and JPEG2000 compression). Further, a new morphing attack detection method based on a fusion of different configurations of Multi-scale Block Local Binary Patterns (MB-LBP) on an image divided into multiple cells is presented. The proposed score-level fusion of a maximum number of 18 different configurations is shown to significantly improve the robustness of the resulting morphing attack detection scheme, yielding an average performance between 2.26% and 8.52% in terms of Detection Equal Error Rate (D-EER), depending on the applied post-processing.