Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of strategic managerial accounting techniques on the competitive advantage of Sudanese exports in light of globalization

The main aim of this study is to clarify the impact of strategic managerial accounting techniques on the competitive advantage of Sudanese exports in light of globalization. The study tested one hypothesis is that: There is a significant relationship between applied strategic managerial accounting techniques and supporting the competitive advantage of Sudanese exports in light of globalization. Researchers distributed 70 questionnaires, 65 of them were collected as 92.8%. Statistical Package of Social Sciences (SPSS) was used to analyze data. Some of the study findings are: Using target cost enables the continuous improvement of exported products, and this supports the competitiveness of exports globally. Applying ABC enables the appropriate price of products to be determined so that they can continue to compete globally. Producing exported products according to specifications, can reduce costs and increase the quality of the exported products.
The Psychological Impacts of Internet Pornography Addiction on Adolescents

This research aimed to reveal the impacts experienced by adolescents who experience internet addiction with pornographic content. The research used a qualitative approach, namely an instrumental case study. Participants were 18-25 years old, there were six adolescents who were obtained based on the initial screening, namely selfreporting through a pornography internet addiction questionnaire. The data were collected by in-depth interviews, observation, and documentation. In this qualitative research, thematic analysis with NVivo 12 data management was used as the data analysis technique. The results show that adolescents experience changes in cognition and affection for sexual stimulation caused by the internet with pornographic content. The impact of cognition is shown from their obsessive-compulsive thoughts on sexual content. They always have the desire to see those photos or video over again, which leads them to trouble sleeping due to visualizing scenes of sexual intercourse. The impact of affection can be seen from their desire to act in sexual activity, their being so passionate and pleased after seeing pornographic content, and their expectation to feel such immense affection. Furthermore, they might find difficulty in establishing interpersonal relationships with other people and tend to withdraw themselves from the social environment.
Detection of Suicidal Ideation on Twitter using Machine Learning & Ensemble Approaches

Suicidal ideation is one of the most severe mental health issues faced by people all over the world. There are various risk factors involved that can lead to suicide. The most common & critical risk factors among them are depression, anxiety, social isolation and hopelessness. Early detection of these risk factors can help in preventing or reducing the number of suicides. Online social networking platforms like Twitter, Redditt and Facebook are becoming a new way for the people to express themselves freely without worrying about social stigma. This paper presents a methodology and experimentation using social media as a tool to analyse the suicidal ideation in a better way, thus helping in preventing the chances of being the victim of this unfortunate mental disorder. The data is collected from Twitter, one of the popular Social Networking Sites (SNS). The Tweets are then pre-processed and annotated manually. Finally, various machine learning and ensemble methods are used to automatically distinguish Suicidal and Non-Suicidal tweets. This experimental study will help the researchers to know and understand how SNS are used by the people to express their distress related feelings and emotions. The study further confirmed that it is possible to analyse and differentiate these tweets using human coding and then replicate the accuracy by machine classification. However, the power of prediction for detecting genuine suicidality is not confirmed yet, and this study does not directly communicate and intervene the people having suicidal behaviour.
Parallel DNA Algorithms of Generalized Traveling Salesman Problem-Based Bioinspired Computing Model

Generalized traveling salesman problem (GTSP) is a classical combinatorial optimization problem, in which the optimization goal is the minimum route combination. Since the GTSP is a more complex problem than the traveling salesman problem (TSP), the GTSP can be considered an extension of the TSP. At present, compared with TSP, GTSP has been widely used in practice. In GTSP, n nodes are divided into m clusters, and the problem is divided into two categories according to different constraints. According to the second kind of the GTSP, we propose a parallel biochemical algorithm to solve it. We use deoxyribonucleic acid (DNA) biological strands to represent different vertices, point groups and weights, and get the optimal solutions to a series of different biochemical reaction combinations of DNA sequences. Compared with other algorithms, our algorithm reduces the time complexity to O . n 2 / , and proves the feasibility. © 2021 The Authors . Published by Atlantis Press B.V. This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
FILM-TYPE DISINTEGRATION BY ROTATING DISK

The following equation was obtained for maximum drop diameter as a result of atomization experiments on film type disintegration of aqueous millet jelly solution by a rotating disk. dmax/r0=1.1We-3(ρQ2/σT03)0.15(Q/υr0)-0.15 This result was studied on the basis of film extension and thickness of liquid film at the leading edge of the film. The thickness of the liquid film at the leading edge of the film can be approximated by a simple relation. This relation supports the appropriateness of the results of the atomization experiment. Thickness of liquid film and maximum drcp diameter are proportional.
Iterative Refinement of Uniformly Focused Image Set for Accurate Depth from Focus

Estimating the 3D shape of a scene from differently focused set of images has been a practical approach for 3D reconstruction with color cameras. However, reconstructed depth with existing depth from focus (DFF) methods still suffer from poor quality with textureless and object boundary regions. In this paper, we propose an improved depth estimation based on depth from focus iteratively refining 3D shape from uniformly focused image set (UFIS). We investigated the appearance changes in spatial and frequency domains in iterative manner. In order to achieve sub-frame accuracy in depth estimation, optimal location of focused frame in DFF is estimated by fitting a polynomial curve on the dissimilarity measurements. In order to avoid wrong depth values on texture-less regions we propose to build a confidence map and use it to identify erroneous depth estimations. We evaluated our method on public and our own datasets obtained from different types of devices, such as smartphones, medical, and normal color cameras. Quantitative and qualitative evaluations on various test image sets show promising performance of the proposed method in depth estimation.
CAN THE MOBILE ROBOT BE A FUTURE ORDER-PICKING SOLUTION?: A CASE STUDY AT AMAZON FULFILLMENT CENTER

In logistic operations, picking is the process of finding products to meet different orders. Therefore, improving automation and work performance is a focus on logistic operation. The purpose of this study is to describe a system that can improve efficiency at the Distribution Center by using Kiva Robots. That is a system that can help humans reduce walk time and labor costs which must occur, and identify the concepts of applying multi-robots at the Amazon Fulfillment Center. Kiva Robots are here to answer the problem of order picking at the Amazon Fulfillment Center.
Highly Active Heterogeneous Palladium Catalyst for the Suzuki Reaction of Heteroaryl Chlorides

The objec-tive of this study is to combine the advantages of homogeneous catalysts with the great ease of separation in large-scale synthe-sis afforded by heterogeneous catalysts. The most satisfactory method of supporting transition metal complexes involves the formation of a chemical bond between the surface of a solid support and a ligand group in the metal complex.
Twenty-four hours in the alt-right media ecosystem: analyzing race, space, and labor in Breitbart’s coverage of the Mollie Tibbetts murder

ABSTRACT This article examines media coverage of the murder by a Mexican farmworker of Mollie Tibbetts, a white college student, in the digital alt-right publication Breitbart as a case study analyzing the historicized racialized rhetoric of immigration in the American press. Examining all articles published within the 24-hour period of the discovery of Tibbetts’ body, this article argues that the rhetoric in Breitbart’s coverage of the case demonstrates the re-emergence of racialized themes that are rhetorically deployed to protect white spaces, such as the rural national imaginary, and white-dominated structures, such as the labor market. In the contemporary global, digital age Breitbart’s coverage of the Tibbetts case demonstrates the dominance of nostalgic alt-right fantasies of paternalistic white possession of spaces and structures in the far-right media ecosystem. Drawing on the principles of critical discourse analysis and engaging in a close textual reading of Breitbart’s coverage of the Tibbetts case, this article emphasizes the continued salience and significance of white possession.
Changes in Root Architecture and Aboveground Traits of Red Clover Cultivars Driven by Breeding to Improve Persistence

Red clover persistence has been one of the major targets for the most breeding programs worldwide. A phenotypic characterization at above- and belowground level was performed to a set of highly persistent red clover populations. The objective was to identify phenotypic changes occurring after empirical selection for plant survival, which is the consensus criteria of persistence. Eleven red clover populations were established on mesocosms of polyvinyl chloride (PVC) tubes of 11 cm in diameter and 100 cm depth, containing as substrate a mixture (v/v) of sand, vermiculite, soil and perlite. The trial was organized in a randomized complete block design with four replicates, each replicate consisting of five mesocosms per population and one plant per mesocosm. In total, 220 mesocosms were handled. At aboveground level, growth parameters, specific leaf area (SLA) and shoot dry matter (ShootDM) were measured. At belowground level, root morphology (volume, diameter and length) and topology (altitude, external path length [EPL] and dichotomous branching index [DBI]) were measured through image analyses. Analyses of variance were performed implementing a phenotypic linear mixed model using the Restricted Maximum Likelihood method. Additionally, variance components were estimated and broad-sense heritability was calculated for each phenotypic trait. Highly persistent cultivars exhibited 30% higher ShootDM and 10% lower leaf size and SLA than the oldest low-persistent cultivar Quiñequeli. At root level, they showed 20, 50 and 50% higher crown diameter, root length density and root volume than Quiñequeli, respectively, but 20% lower DBI. Root traits exhibited medium-low values of genetic control; broad sense heritability ranged between 0.20 and 0.48. In conclusion, highly persistent red clover cultivars and experimental lines bred in Chile modified their phenotypic expression of individual plants at shoot and root levels relative to the oldest low persistent cultivar Quiñequeli. Associations among above- and belowground traits offer opportunities for designing more efficient selection strategies. For instance, the strong relationship between SLA and root traits offers tremendous potential for indirect phenotypic selection.
Pure AlN layers in metal-polar AlGaN/AlN/GaN and AlN/GaN heterostructures grown by low-temperature ammonia-based molecular beam epitaxy

When grown at a high temperature (820 °C) by ammonia-based molecular beam epitaxy (NH3-MBE), the AlN layers of metal-polar AlGaN/AlN/GaN heterostructures had a high GaN mole fraction (∼0.15), as identified by atom probe tomography in a previous study (Mazumder et al 2013 Appl. Phys. Lett. 102 111603). In the study presented here, growth at low temperature (<740 °C) by NH3-MBE yielded metal-polar AlN layers that were essentially pure at the alloy level. The improved purity of the AlN layers grown at low temperature was correlated to a dramatic increase in the sheet density of the two-dimensional electron gas (2DEG) at the AlN/GaN heterointerface. Through application of an In surfactant, metal-polar AlN(3.5 nm)/GaN and AlGaN/AlN(2.5 nm)/GaN heterostructures grown at low temperature yielded low 2DEG sheet resistances of 177 and 285 Ω/□, respectively.
Extraction of carboxylic acids with amine extractants. 1. Equilibria and law of mass action modeling

Studies have been made of the extraction of acetic, lactic, succinic, malonic, fumaric, and maleic acids by Alamine 336, an aliphatic, tertiary amine extractant, dissolved in various diluents. The results were interpreted by a «chemical modeling» approach, in which the stoichiometries of acid-amine complexes and corresponding equilibrium constants which best represent the experimental results were determined. The acids studied differed in pK a and in the presence or absence of functional groups other than the primary carboxyl group. Diluents were chosen from different chemical classes − electron donating, electron accepting, polar, and nonpolar − so as to examine the effects of diluent-complex interactions. These interactions were found to affect both the stoichiometry of reaction and the magnitudes of the corresponding equilibrium constants
Diversity of Epiphytic Bacterial Communities Associated with Adriatic Fucacean Species Phycosphere

The aim of the study was to explore the relationship between membrane-regulating functional lipids of three fucacean species and their associated epiphytic bacterial communities. The analyzed algae Treptacantha barbata, Carpodesmia crinita and Cystoseira compressa, formerly classified under the Cystoseira genus, are indigenous to the Adriatic Sea. The thalli of sampled Fucales species were divided into perennial and annual parts. T. barbata and C. crinita show high contents of mono- and polyunsaturated fatty acids but, however, show a clear distinction between branches, cauloids and apical parts. Along with the highest unsaturation degree (4.32), the C. crinita branches and apical parts demonstrated high proportion of both C18 and C20 polyunsaturated fatty acids, with eicosapentaenoic (C20:5 n-3) and arachidonic (C20:4 n-6) fatty acids up to 5.46% and 13.82%, respectively. The highest proportion of saturated fatty acids was found in thalli of C. compressa, particularly on cauloids and old branches (≥90%). The similarity profile routine analysis of fatty acids and microbial community structure has shown clear separation of the cauloids and apical parts from the branches of C. crinita and T. barbata. Based on the nonmetric multidimensional scaling analysis several representatives of the Gammaproteobacteria class, identified as Vibrionales (Vibrio), Cellvibrionales and Xanthomonadales, which contributed strongly to the separation of T. barbata apical parts and branches, C. compressa receptacles and C. crinita branches from the T. barbata cauloids and C. crinita apical parts and cauloids. The highest richness in polyunsaturated fatty acids, in particular C18:3(n-3), C20:4(n-6) and C20:5(n-3), was observed on branches, accompanied by a distinctive epiphytic microbial structure dominated by numerous representatives with potentially beneficial biological activity. The results showed a strong relationship between fatty acid profiles of the analyzed species and phycosphere community structure, underlining the host physiological condition in shaping the biological interactions and maintaining a healthy microbiome, as well as compiling the ecophysiological and molecular research in order to better assess the resilience of the ecosystem.
Voltage Regulation Using Recurrent Wavelet Fuzzy Neural Network-Based Dynamic Voltage Restorer

Dynamic voltage restorers (DVRs) are one of the effective solutions to regulate the voltage of power systems and protect sensitive loads against voltage disturbances, such as voltage sags, voltage fluctuations, et cetera. The performance of voltage compensation with DVRs relies on the robustness to the power quality disturbances and rapid detection of voltage disturbances. In this paper, the recurrent wavelet fuzzy neural network (RWFNN)-based controller for the DVR is developed. With positive-sequence voltage analysis, the reference signal for the DVR compensation can be accurately obtained. In order to enhance the response time for the DVR controller, the RWFNN is introduced due to the merits of rapid convergence and superior dynamic modeling behavior. From the experimental results with the OPAL-RT real-time simulator (OP4510, OPAL-RT Technologies Inc., Montreal, Quebec, Canada), the effectiveness of proposed controller can be verified.
Innovative Seismic Microzonation Maps of Urban Areas for the Management of Building Heritage: A Catania Case Study

Several urban areas in the Mediterranean have already been subjected to seismic microzonation studies aimed at determining the acceleration expected on the ground surface, therefore mitigating the associated seismic risks. These studies have been generally related to free-field conditions. The present paper shows innovative seismic microzonation maps based on a large-scale estimate of soil-structure interaction (SSI) effects on design accelerations for some areas characterized by a high seismic risk in Catania, Italy. The proposed procedure combined: (1) geotechnical characteristics; (2) building features; and (3) 1-D seismic response analyses in free-field conditions. The seismic hazard and site effects were evaluated using artificial inputs and inputs recorded recently in Catania. Structural fundamental periods and related spectral accelerations, considering both the fixed-base building configuration and flexible-base configuration, were mapped in the Google My Maps environment. These results showed that SSI often had a beneficial effect, but sometimes it had detrimental effects, especially for some masonry buildings. These maps provided important information for planning the seismic retrofitting of investigated buildings, which were based on more detailed analyses of SSI and the developed maps requiring them.
Automatic size determination of membrane vesicles by freeze‐fracture electron microscopy

In biological processes involving membrane vesicles, the vesicle sizes and the size distribution of the vesicle population are usually important process parameters. A previous method for determining these parameters by freeze‐fracture electron microscopy exclusively makes use of concave profiles with half‐cast shadow, the so‐called equatorial profiles. This method suffers from two disadvantages: (i) the measurement is done manually and is therefore subjective, and (ii) only a small subpopulation of the profiles, those showing half‐cast shadow, can be used.
5-Fluorouracil Loaded Biogenic and Albumin Capped Gold Nanoparticles Using Bacterial Enzyme—In Vitro-In Silico Gastroplus® Simulation and Prediction

The study investigated in situ biosynthesis of albumin capped 5-fluorouracil (5-FU) loaded gold nanoparticles (NPs) using bacterial extract for enhanced efficacy against MCF-7 and in silico prediction using a GastroPlus® software. The optimized formulations were characterized for morphology, size, zeta potential, drug loading (%DL) and entrapment (%EE), compatibility, in vitro drug release, in vitro hemolysis, cellular toxicity and apoptosis studies. The results exhibited highly dispersed albumin capped mono-metallic stable NPs. Spherical size, negative zeta potential and polydispersity index were in range of 38.25–249.62 nm, 18.18–29.87 mV and 0.11–0.283, respectively. F11, F7 and F3 showed a progressive increase in %DL and %EE with increased concentration of the cellular lysate (100% > 50% > 10%). The drug release was relatively extended over 48 h as compared to drug solution (96.64% release within 5 h). The hemolysis result ensured hemocompatibility (<14%) at the explored concentration. The biogenic F11 was more cytotoxic (81.99% inhibition by F11 and 72.04% by pure 5-FU) to the MCF-7 cell lines as compared to others which may be attributed to the preferential accumulation by the tumor cell and capped albumin as the source of energy to the cancer cells. Finally, GastroPlus® predicted the key factors responsible for improved pharmacokinetics parameters and regional absorption from various segments of human intestine. Thus, the approach can be more efficacious and suitable to control breast cancer when administered transdermally or orally.
Going Off the Grid: Assessing Sentencing Departures for Individuals Convicted of Sexual Offenses

This research examines factors associated with departures from sentencing guidelines for a sample of individuals convicted of sexual offenses in Pennsylvania between 2004 and 2015 (N = 26,093). We contribute to the literature on the sentencing of these cases by considering whether the impact of individual and contextual factors is conditioned by the type of sexual offense being sentenced (e.g., assaultive, child pornography, failure to comply with registration). Bayesian multilevel multinomial logit models suggested a number of legal, extralegal, and contextual correlates of departure likelihood, and indicated that the effects of offense severity, prior record, a previous sex offense conviction, multiple concurrent convictions, and court size vary across different subsets of sexual convictions.
Earthworm diversity and density as affected by soil and climatic factors in Raymond Mhlaba municipality, Eastern Cape province, South Africa

Earthworms play a key role in improving soil health, and their diversity and density are mainly affected by soil and climatic factors. This study determined the effects of rainfall, temperature and selected soil properties on the diversity and density of earthworms in Raymond Mhlaba municipality of the Eastern Cape, South Africa. Nine sites in the municipality covering the humid, sub-humid, semi-arid and arid regions were sampled. At each site, earthworms were collected for identification and quantification. The relationships between earthworm density and diversity against the selected factors were analysed using analysis of variance and Pearson correlations. Seven exotic earthworm species were identified, namely: Dendrobaena octaedra; (epigeic groups); Aporrectodea caliginosa; Pontoscolex corethrurus (Rhinodrillidae); Allolobophora chlorotica (endogeic groups); Amynthas aspergillum, Lumbricus terrestris and Fimoscolex sporadochaetus (anecic groups). No indigenous earthworms were found. There were significant differences in earthworm density and biomass across all the climatic zones (p < 0.05). Earthworm density and biomass showed positive correlations with soil moisture and rainfall but strong negative correlations with temperature (p < 0.05). Earthworm densities across all sites were lower than the global average. The study concluded that sub-humid environments exhibited the highest earthworm diversity and density while rainfall, temperature and soil moisture influenced earthworm distribution, diversity and density.