Miracle-dz/UniFAR-FTUs huggingface dataset:
Student venture creation: developing social networks within entrepreneurial ecosystems in the transition from student to entrepreneur

PurposeThe purpose of the paper is to provide insight into how students navigate entrepreneurial ecosystems and make use of social networks as they create their own ventures. Such ecosystems for students are an understudied phenomenon and there is a need for more profound insights into the issue in order to build better support systems for student entrepreneurs. The study aims to increase understanding on the elements that are important in students' entrepreneurial ecosystems and how these impact on students' venture creation processes, with emphasize on the role social networks play. Student entrepreneurs account for a substantial number of the startups that come into being at universities. Understanding more about how the surroundings affects this process is important for facilitating student entrepreneurship in higher education.Design/methodology/approachThe study is qualitative and makes use of in-depth interviews with student entrepreneurs, educators and support actors in the ecosystems. Multiple actors were interviewed in order to capture different perspectives on the matter, with a total of 15 interviews conducted.FindingsTwo main findings arose from the study. First, it provides insight into elements that are perceived as important for student venture creation by the student entrepreneurs themselves, by educators and by support actors in the ecosystems. Second, it describes how the elements make up the entrepreneurial ecosystems surrounding the students, which serve as platforms from which students can develop their social networks. Therefore, the study highlights how such ecosystems can serve as sources from which students can gain access to ideas, resources and identity processes.Research limitations/implicationsA limitation of the study is that the interviews took place in one country. Consequently, further investigation is necessary to establish whether the findings are valid in other contexts. The research has implications for higher educational institutions, policymakers and researchers concerned with student entrepreneurship and student venture creation.Originality/valueThe study contributes empirical findings on a topic that is currently not well understood and on which there are few empirical studies. While student ventures represent a substantial proportion of university spin-offs, the topic has received little attention compared to research on academic entrepreneurship. The study represents a step towards enhancing understanding of students' entrepreneurial ecosystems and how students gain access to resources through social network ties within these systems.
Indonesian EFL Teachers’ Perceptions of Task-Based Language Teaching Approach

Task-based language teaching is an approach applying tasks as a key point of pedagogical instruments. This study explores teachers’ perceptions of task-based language teaching in the secondary school context in Indonesia. Descriptive qualitative research design is used with data collected by using questionnaires. This study used purposive sampling to choose the sample. The findings showed that most of the junior and senior high school EFL teachers appeared to embrace positive attitudes towards practicing task-based language teaching, even though their knowledge of task-based language teaching is still low. All teachers in the study said they have implemented task-based language teaching in the classroom. All of them will continue to use TBLT. The implication of the study is to inspire other researchers to investigate task-based language teaching with greater confidence. The researcher hopes that this research will motivate curriculum designers and other researchers to explore more fully the views of those who are key to successful classroom implementation.
Real-time automatic helmet detection of motorcyclists in urban traffic using improved YOLOv5 detector

In trafﬁc accidents, motorcycle accidents are the main cause of casualties, especially in developing countries. The main cause of fatal injuries in motorcycle accidents is that motor-cycle riders or passengers do not wear helmets. In this paper, an automatic helmet detection of motorcyclists method based on deep learning is presented. The method consists of two steps. The ﬁrst step uses the improved YOLOv5 detector to detect motorcycles (including motorcyclists) from video surveillance. The second step takes the motorcycles detected in the previous step as input and continues to use the improved YOLOv5 detector to detect whether the motorcyclists wear helmets. The improvement of the YOLOv5 detector includes the fusion of triplet attention and the use of soft-NMS instead of NMS. A new motorcycle helmet dataset (HFUT-MH) is being proposed, which is larger and more comprehensive than the existing dataset derived from multiple trafﬁc monitoring in Chinese cities. Finally, the proposed method is veriﬁed by experiments and compared with other state-of-the-art methods. Our method achieves mAP of 97.7%, F1-score of 92.7% and frames per second (FPS) of 63, which outperforms other state-of-the-art detection methods.
Nutritional, Functional and Sensory Properties of Gari Enhanced with Fermented Maize Residues Flour

The by-product (residue) from fermented yellow maize starch production was dried and milled into flour and designated as fermented yellow maize residues, the residue was added to Gari at 0–30% levels of substitution to produce Gari-residue blends. The blends and control were evaluated for its functional and pasting properties, proximate composition, mineral content and starch digestibility. The Gari-residue blends were reconstituted with hot water into a stiff dough (“Eba”) and its sensory and proximate composition analyzed. Results showed water and oil absorption capacities decreased, and an increase in Bulk density, swelling power and solubility index. Pasting property showed a decrease in peak, breakdown and setback viscosities, a decrease in pasting time while the pasting temperature increased. Proximate composition of stiff dough showed an increase in fat, crude protein and crude fibre with a decrease in carbohydrate content, mineral content determination showed the contents of Ca, Zn, Fe and P increased. Sensory evaluation results showed Gari stiff dough at 5–25% levels of substitution had equal preference with the control for overall acceptability. Values for starch digestibility showed a reduction in glycemic indices with the presence of residue flours. This study has thus shown that fermented maize starch residue enhanced the sensory and nutritional properties of “Eba”.
With(Out) a Little Help From My Friends? Reconciling Incongruous Findings on Stakeholder Management, Innovation, and Firm Performance

Are stakeholder management and innovation substitutes or complements in affecting firm performance? Extant research provides support for both positions and thus leaves us with a puzzle. We conduct an exploratory fuzzy set qualitative comparative analysis (fsQCA) of 204 publicly listed European firms combining survey and archival data to formulate theory on how stakeholder management and innovation work (in)effectively together. Distinguishing between internal and external stakeholders and exploitative and exploratory innovation, we elaborate that managing for stakeholders and innovation can be both substitutes and complements depending on a set of contingencies. We discuss boundary conditions and implications for future research.
An examination of the determining factors of users’ intentions to share corporate CSR content on Facebook

ABSTRACT Corporate social responsibility (CSR) has become an essential concept in the context of the hospitality industry, where it is considered as a significant factor in competition and firms’ survival. However, little is known about the factors that influence electronic word of mouth (eWOM) regarding CSR communication through social media in the hotel context. This research proposes a comprehensive model including expressive information sharing, environmental consciousness, homophily and attitude towards sharing firms’ content (both commercial information and about environmental CSR issues) as predictors of individuals’ intention to share firms’ content on a specific social networking site (SNS). To test the model empirically, Facebook users were surveyed in Spain. Empirical testing confirms most of the hypothesized effects except the influence of expressive information sharing on attitude towards sharing firms’ environmental CSR content, the impact of homophily on attitude towards sharing firms’ commercial content, and the influence of this variable on intentions to share content on Facebook.
Politically oriented bullshit detection: Attitudinally conditional bullshit receptivity and bullshit sensitivity

Bullshit results from communicating with little to no regard for truth, evidence, or established knowledge (Frankfurt, 1986; Petrocelli, 2018a). Such disregard for truth serves as a common source of antiscientific beliefs and endorsement of alternative facts and is thereby critical to understand. To examine how social perceptions of bullshit may be conditional upon the political orientation of a source and the extremity of one’s political attitudes, two experiments manipulated the alleged political source of bullshit messages and measured the direction and strength of political orientation. In Experiment 1, participants rated the profundity of nonsense statements allegedly stated by high-profile left/liberal or right/conservative political leaders. Experiment 2 participants rated the profundity of both bullshit statements and factual quotations regarding innovation. Results of both experiments suggest that bullshit receptivity and bullshit sensitivity are dependent on the alignment of the source’s bullshit content with the direction and extremity of one’s political attitudes.
Restoration of sagittal alignment in high-grade isthmic spondylolisthesis using the reverse Bohlman technique with anterior lumbar interbody fusion using a hyperlordotic cage at L4–5: illustrative case

BACKGROUND Circumferential fusion with or without reduction is the preferred treatment for high-grade isthmic spondylolisthesis. Reduction presents significant risk of neurological injury. The authors present one case in which the “reverse Bohlman” technique was used with the addition of a hyperlordotic interbody cage at L4–5 as a means to correct sagittal malalignment while avoiding the reduction of L5 on S1. OBSERVATIONS The patient was a 22-year-old woman with a long-term history of lower back pain and bilateral L5 radiculopathy secondary to high-grade isthmic lumbar spondylolisthesis. She underwent anterior lumbar interbody fusion using the reverse Bohlman technique plus a hyperlordotic interbody cage at L4–5, followed by decompression and posterior spinal instrumentation and fusion from L4 to the pelvis. At 2-year follow-up, she was found to have complete resolution of symptoms with clinical and radiographic evidence of fusion. Her spinopelvic parameters had significantly improved. LESSONS The reverse Bohlman technique with the addition of a hyperlordotic interbody cage at L4–5 is a potential alternative treatment method to correct sagittal malalignment while avoiding possible injury to the L5 nerve roots that can be seen in the reduction of high-grade isthmic spondylolisthesis.
Time-Dependent Climate Impact of Utilizing Residual Biomass for Biofuels—The Combined Influence of Modelling Choices and Climate Impact Metrics

Understanding the influence of method choices on results in life-cycle assessments is essential to draw informed conclusions. As the climate impact of bioenergy remains a debated topic, the focus of this study is how the chosen temporal framing influences a comparison of the climate impact of utilizing residual biomass for biofuel production to that of leaving the biomass to decay. In order to compare the biofuel scenario to its corresponding reference scenario where biomass is left to decay, a variety of analytical approaches were used: using time-aggregated and time-dependent life-cycle inventories and climate-impact assessment methods, assuming biogenic carbon to be climate neutral or not, using metrics for cumulative or instantaneous climate impact, and with different time horizons. Two cases of residual biofuel feedstocks were assessed: logging residues from Norway spruce forest, and straw from wheat cultivation. Consideration of the studied method choices appears to be especially relevant for forest residual biomass, as illustrated by the ranges of parity times for logging residues (25 to 95 years), and the results which vary with the chosen climate-impact metric, time-horizon, and approach for including biogenic carbon. Illustrating the time-dependence of results can, in general, provide a better understanding of the climate impact of utilizing residual biomass for biofuels.
Conservation tillage regulates soil bacterial community assemblies, network structures and ecological functions in black soils

Aims Conventional tillage is a serious threat to the stability of soil ecosystems. Understanding the response mechanisms of soil microbial community assemblies to anthropogenic activities is a major topic of ecological research. Methods Here, we investigated the bacterial community structures and assemblies in bulk and rhizosphere soils of soybeans grown with conventional tillage (moldboard plow, MP) and with conservation tillage that involved no-tillage (NT) or ridge tillage (RT) using high-throughput sequencing methods. Results We found that soil bacterial community compositions, structures and assembly processes were primarily altered by tillage practices. Briefly, in comparison to MP, NT and RT increased the relative abundances of the nitrogen-fixing bacteria Mesorhizobium sp. , Bradyrhizobium sp. and Burkholderia sp. , but decreased the abundance of soil carbon-degrading bacteria, especially Blastococcus sp. , Streptomyces sp. and Sphingomonas sp. In addition, in comparison to MP, NT and RT resulted in more stable bacterial networks and more lower the relative contribution of homogenizing dispersal. Soil pH was the primary soil factor regulating both the bacterial community structures and assembly processes under the three tillage practices. Conclusions The altered functional bacteria under conservation tillage was mostly affiliated with biomarkers and keystone taxa, inferring that conservation tillage might contribute to biological nitrogen fixation and soil carbon sequestration.
Presynaptic {alpha}2-GABAA receptors in primary afferent depolarization and spinal pain control

Spinal dorsal horn GABA(A) receptors are found both postsynaptically on central neurons and presynaptically on axons and/or terminals of primary sensory neurons, where they mediate primary afferent depolarization (PAD) and presynaptic inhibition. Both phenomena have been studied extensively on a cellular level, but their role in sensory processing in vivo has remained elusive, due to inherent difficulties to selectively interfere with presynaptic receptors. Here, we address the contribution of a major subpopulation of GABA(A) receptors (those containing the α2 subunit) to spinal pain control in mice lacking α2-GABA(A) receptors specifically in primary nociceptors (sns-α2(-/-) mice). sns-α2(-/-) mice exhibited GABA(A) receptor currents and dorsal root potentials of normal amplitude in vitro, and normal response thresholds to thermal and mechanical stimulation in vivo, and developed normal inflammatory and neuropathic pain sensitization. However, the positive allosteric GABA(A) receptor modulator diazepam (DZP) had almost completely lost its potentiating effect on PAD and presynaptic inhibition in vitro and a major part of its spinal antihyperalgesic action against inflammatory hyperalgesia in vivo. Our results thus show that part of the antihyperalgesic action of spinally applied DZP occurs through facilitated activation of GABA(A) receptors residing on primary nociceptors.
Prediction of molecular diffusion coefficients of gases in hydrocarbon liquids at high pressure and temperature.

Mass transfer by molecular diffusion is the basic physical mechanism underlying many important areas of chemical engineering and petroleum engineering. In recent years, the problem of mass transfer by the mechanism of molecular diffusion in oil reservoirs, when a non-equilibrium gas is injected into the reservoir, has become increasingly important. In oil recovery projects, gas is injected into oil reservoirs for different reasons such as maintenance of reservoir pressure and enhanced recovery of oil. In these two cases the rate of dissolution of a gas such as methane in a quiescent body of hydrocarbon oil is controlled primarily by the rate of diffusion of the dissolved gas from the gas-oil interface into the body of the liquid phase. In all the above situations, molecular diffusion of gas into liquid or transfer of dissolved gas between enriched and heavier liquid phase due to differences in compositional gradients between gas and liquid phases is important. The most important property required to determine the rate of mass transfer between the two phases in all these cases is the molecular diffusion coefficient at high pressure and temperature. The present investigation is aimed at a systematic study of the mechanism of molecular diffusion of gases in liquids by measuring the diffusion coefficients of methane in dodecane and in a typical Iranian crude oil up to a pressure of 35 MPa and at several temperatures. All tests are conducted in an accurate high-pressure diffusion cell with "finite-domain" moving boundary behavior. The data acquired is used to assess the predictions of various available correlations for diffusion coefficients. Several liquid hydrocarbon swelling tests comprising dodecane and a typical Iranian crude oil as liquids and methane as gas are performed and swelling heights of liquid as a result of gas molecular diffusion are measured at various temperatures (T=25°C to82°C ) and pressures (P=3.2 to 35 MPa), characterized by a sharp increase in volume followed by gradual increase toward the saturation concentration of methane in the liquid phase. A mathematical model is developed to calculate diffusivities using semi-infinite boundary conditions, hi this model, a variable power profile with time is introduced to allow for the moving interface boundary. The current solutions offer significant improvement over those in previous literature that assume a steady-state interface boundary condition with a parabolic concentration profile. The proposed model offers excellent predictions of experimental data for diffusion coefficients of methane-dodecane and crude oil systems. A computer program using a neural network model is set-up to predict the dimensionless diffusivity for special use with more complex systems such as crude oil reservoir flows in fractures and matrix conditions. The results obtained by this software show about +/- 2% deviation in comparison with the experimental data from the diffusion cell experiments.
Eye Tracking Lateralized Spatial Associations in Early Childhood

ABSTRACT This experiment tests the age at which left-to-right spatial associations found in infancy shift to culture-specific spatial biases in later childhood, for both numerical and non-numerical information. Children ages 1–5 years (N = 320) were tested within an eye-tracking paradigm which required passive viewing of a video portraying a spatial transposition. In this video, an item was hidden in a vertical set of locations, which were then surreptitiously rotated 90°. There were several conditions, which varied in the degree to which the locations were presented alongside ordinal (numerical, alphabetical) or non-ordinal (nonsense label) information. After transposition, a narrator prompted the child to visually search the array.The amount of time spent fixating in a location consistent with a left-to-right mapping or a right-to-left mapping was measured to gauge the degree and laterality of spatial associations. Overall, children looked more toward locations consistent with a left-to-right mapping. This effect fluctuated with age, dipping as children entered toddlerhood, increasing in 3- and 4-year-olds, and then disappearing at age 5. The ordinal nature of the stimuli (e.g., numerical or non-numerical) did not influence the laterality of the spatial associations. A follow-up experiment confirms that, like older preschoolers, adults (N = 66) also exhibit no spontaneous left-to-right mapping bias in this paradigm, with no fluctuation as a result of condition. These data support the presence of a decrease in left-to-right processing around the age of two as children recede from infantile spatial biases and progress to exhibiting culture-specific spatial biases in early childhood.
The divergence‐free nonconforming virtual element method for the Navier–Stokes problem

We present the divergence‐free nonconforming virtual element method for the Navier–Stokes problem. By using a gradient projection operator, we construct a nonconforming virtual element that allows us to compute the L2‐projection. The nonconforming virtual element provides the exact divergence‐free approximation to the velocity and is proved to be convergent with the optimal convergence rate. Finally, the numerical results are shown to confirm the convergence of the nonconforming virtual element.
Green at source: an empirical examination of the effectiveness and sustainability of operational-level environmental management practices in U.S. industry

In this study, we examine the effectiveness of operational-level environmental management (EM) practices and their long-term impacts. Using data from the U.S. Environmental Protection Agency (EPA)’s Toxic Release Inventory, we assess how different source reduction practices utilised at the operational processes of U.S. industrial facilities affect their environmental performance. We find that those operational-level EM practices have varying impacts on immediate and long-term environmental improvements. Practices such as good operating practices, inventory control, process modification, spill/leak prevention, and cleaning/degreasing procedures are found to be able to help facilities improve their efficiency in pollution and waste reduction in the year of implementation. Additionally, good operating practices and spill/leak prevention can generate continuous improvement in pollution and waste reduction even after the implementation year. But at the facilities that adopt process modifications and cleaning/degreasing procedures, the improvements achieved from initial adoption can only be maintained at the same level afterwards. Moreover, the EM practice of inventory control only possesses temporary effectiveness limited to the implementation year while the efficiency of pollution and waste reduction at the facilities that applied this practice fell back to the level before the implementation. The implications of the results are discussed.
Curcumin-Based Fluorescent and Colorimetric Probe for Detecting Cysteine in Living Cells and Zebrafish

We synthesized a new curcumin-based fluorescent and colorimetric probe (CAC) and described its application for the specific detection of cysteine (Cys), including in solution, in living cells, and in a living vertebrate organism. The probe CAC itself showed a strong fluorescence emission, the conjugate addition–cyclization reaction with Cys resulted in the fluorescence quenching at 490 nm and the absorbance decreasing at 400 nm, accompanied by the appearance of a new absorption band at 427 nm. The probe CAC exhibited higher properties such as acting as a “naked eye” probe, readily synthesized, highly selective for Cys, and a lower detection limit of 0.19 μM. In addition, the probe CAC can be successfully applied to detect Cys in living cells and zebrafish with good cell and organism permeability, indicating its significant potential in living biological systems.