Miracle-dz/UniFAR-FTUs huggingface dataset:
Computation of electroconductive gyrotactic bioconvection from a nonlinear inclined stretching sheet under non- uniform magnetic field : simulation of smart bio-nano-polymer coatings for solar energy

Incompressible, steady-state, boundary layer magneto-bioconvection of a nanofluid (containing motile gyrotactic micro-organisms) over a nonlinear inclined stretching sheet subjected to non-uniform magnetic field is studied theoretically and numerically. This regime is encountered in novel bio-nano-material electroconductive polymeric processing systems currently being considered for third generation organic solar coatings, anti-fouling marine coatings etc. Buongiorno’s two-component nanofluid model is deployed with the OberbeckBoussinesq approximation. Ohmic dissipation (Joule heating) is included. The governing nonlinear partial differential equations are reduced to a system of ordinary differential equations and appropriate similarity transformations. The normalized system of equations with associated boundary conditions features a number of important dimensionless parameters including magnetohydrodynamic body force parameter (M), sheet inclination (δ), Brownian motion nanoscale parameter (Nb), thermophoresis nanoscale parameter (Nt), Richardson number (Ri=GrRe, where Gr is thermal Grashof number and Re is Reynolds number), buoyancy ratio parameter (Nr), Eckert (viscous dissipation) number (Ec), bioconvection Rayleigh number (Rb), Lewis number (Le), bioconvection Lewis number (Lb), Péclet number (Pe), nonlinear stretching parameter (n) are solved with a variational Finite Element Method (FEM). Validation is conducted with earlier published studies of Khan and Pop (2010) for the case of non-magnetic stretching sheet nanofluid flow without bioconvection. Further validation of the general magnetic bioconvection nanofluid model is achieved with a generalized differential quadrature (GDQ) numerical technique developed by Bég and Kuharat (2017). The response of non-dimensional velocity, temperature, nanoparticle concentration, motile microorganism density function, local skin friction coefficient, Nusselt number, Sherwood number, wall motile density gradient function to variation in physically pertinent values of selected control parameters (representative of real solar bio-nano-magnetic materials manufacturing systems) are studied in detail. Interesting features of the flow dynamics are elaborated and new future pathways for extension of the study identified in bio-magneto-nano polymers (BMNPs) for solar coatings.
The Role of Trust Mediates the Effect of Perceived Ease of Use and Perceived Usefulness on Online Repurchase Intention

: Online Repurchase Intention is an individual's intention to buy or reuse online something that has previously been purchased or used. This study aims to explain the effect of perceived ease of use and perceived usefulness on online repurchase intention with trust as a mediating variable. This research was conducted in Denpasar. The population of this research is people who have previously u transacted through Shopee e-commerce. The sampling technique used in this study is purposive sampling method, with 157 respondents. Data collection methods using google form questionnaire. Data analysis technique used is path analysis to determine the relationship between two variables and Sobel Test to determine the role of mediation. The results of this study found that perceived ease of use and perceived usefulness have positive and significant effect on trust and online repurchase intention, trust have a significant positive effect on online repurchase intention and trust mediated the perceived ease of use and perceived usefulness of online repurchase intention. Shopee needs to improve several aspects in order to increase online repurchase intention such as clarity and ease in understanding the usage procedures, lower product prices, increase user loyalty and increase innovation and promotion.
A Computational Model of Speciation in Non-Uniform Environments Without Physical Barriers.

A simple computational model of parapatric speciation is introduced and analysed within the framework of the Dobzhansky-Muller model of accumulations of incompatible mutations. It is shown that speciation can occur without the need of physical barriers in environments showing non-uniform local conditions. A population of ancestor agents is placed in an arti(cid:12)cial environment, their (cid:12)tnesses depending on the balance of energy intakes and costs caused by movement and heat dissipation during their lifetime. Phenotypic features such as thermal resistivity are encoded genetically and the agents are able to inter-breed locally. It is observed that the accumulation of mutations cause the formation of neighbouring populations showing localized adaptation but still able to interbreed with the ancestor populations. It is argued that this is a case of polytypic species or \subspecies". However this does not necessarily happen between populations separated by one or more subspecies, and speciation can be said to occur in this case, which can be viewed as the emergence of allopatricity without any previous physical barriers.
Technological Advancement and Employee Commitment of Foods, Beverages and Tobacco Companies in Port Harcourt, Nigeria

Organizations are made up of ordered task arrangements and relationships geared towards the achievement of specified objectives. The successes these organizations are centered on the commitment of employees towards the set goals and objectives of the organization. It was argued that technological advancement creates a committed workforce in an organization. This gave rise to the formulation of the six hypotheses in relation to technological advancement and employee commitment. Selected foods, beverages and tobacco companies in Port Harcourt were examined and structured questionnaire sent. A sample size of sixty (60) workers from the production and administration departments. 15 workers from each of the four companies selected were examined. One way an organization can achieve a committed workforce is through technological advancement which entails the practice of information technology, electronic business and automation as a means of adapting to situations and the expectations of employees. From the reviewed literature, and the answered field structured research questionnaire, it was found that technological advancement enables employees’ commitment. In conclusion we found that technological advancement affords employees leadership a more flexible platform to be committed. The study recommends that information technology should be applied in organizations to help increase the organization’s employees’ motivation which will result in increased commitment.
The Influence of Smartphone Addiction , Personality Traits , Achievement Motivation on Problem-solving Ability of University Students

| ABSTRACT This study aimed to analyze the relations between smartphone addiction, personality traits, achievement motivation and problem-solving ability and explore the influence of smartphone addiction, personality traits, achievement motivation on university students' problem-solving ability. 682 students (male = 227, female = 455) from a Chinese public university participated in the research voluntarily. Data were collected by the short-version of the smartphone addiction scale, the ten-item personality inventory, the achievement motives scale, and the social problem-solving inventory. The correlations and multiple hierarchical regression analysis were used to analyze the data. The results were as follows: Firstly, it was found that there was a significant negative correlation between smartphone addiction and achievement motivation and problem-solving ability, a significant positive correlation between achievement motivation and problem-solving ability, and a significant correlation between the factors of personality traits and smartphone addiction and problem-solving ability respectively. Secondly, it was found that emotional stability of personality traits, smartphone addiction and the "fear of failure" sub-dimensions of achievement motivation significantly explained problem-solving ability. Based on these research results, some suggestions were given for the improvement of the educational field.
Morphometric variation of the horseshoe crab Tachypleus gigas (Xiphosura: Limulidae) from the Banyuasin estuarine of South Sumatra, Indonesia

Fauziyah, Mustopa AZ, Fatimah, Purwiyanto AIS, Rozirwan, Agustriani F, Putri WAE. 2021. Morphometric variation of the horseshoe crab Tachypleus gigas (Xiphosura: Limulidae) from the Banyuasin estuarine of South Sumatra, Indonesia. Biodiversitas 22: 5061-5070. Morphological studies are essential for fish resource management, ecology, conservation, and stock assessment. This research was conducted to characterize the morphological variation of the coastal horseshoe crab (Tachypleus gigas) from the Banyuasin estuarine, South Sumatra, Indonesia. The body weight (BW), prosoma width (PW), carapace length (CL), telson length (TEL), and total length (TL) were measured for describing the morphometric variability of T. gigas. A total of 70 T. gigas (32 females and 38 males) were found using trammel net fishing and bottom gillnet during the survey. Multivariate and allometric methods analyzed their morphometric characters. Based on KruskalWallis tests, the result showed a significant difference in somebody measurements (TL and CL) between males and females. The principal component analysis (PCA) results showed that all morphometric characters had a strong correlation in both sexes, so the first principal component (PC1) values were 92% and 72%. In comparison, the second principal component (PC2) values were 5% and 20% in females and males, respectively. The results of discriminant function analysis (DFA) suggested that only one (BW) of the five morphometric characters was significant in separating both sexes. Both sexes were also revealed variations in growth patterns based on the allometric analysis results. These results were expected to be used as a basis for managing the horseshoe crab population-based conservation.
Deep Learning Approach to Predict Forest Fires Using Meteorological Measurements

Forest fires are a serious environmental concern that causes economic and ecological harm as well as puts human lives in danger. Controlling such a condition necessitates quick identification. One option is to employ artificial intelligence (AI) techniques based on some measurements, such as those supplied by meteorological stations. Meteorological measurements namely temperature, relative humidity, rain, and wind are known to impact forest fires, and numerous fire indices, such as the Forest Fire Weather Index (FWI), rely on this information. In this paper, a deep learning approach namely the long short-term memory (LSTM) based regression method is used for efficient prediction of the forest fires. The LSTM approach is a recurrent neural network (RNN) that has become popular recently in the field of machine learning. A dataset that contains 12 features and 536 instances is used in the experimental works. The dataset is available in the UCI machine repository. The hold-out cross-validation method is used in the experiments and various metrics are used to evaluate the accuracy of the proposed model achievements. The results show that the proposed method produces reasonable predictions and outperforms traditional machine learning approaches.
Arsenic Accumulation and Biotransformation Affected by Nutrients (N and P) in Common Blooming-Forming Microcystis wesenbergii (Komárek) Komárek ex Komárek (Cyanobacteria)

Arsenic accumulation and biotransformation in algae was mostly carried out in a medium that contained far higher nutrient concentrations than that in natural freshwaters. The obtained results might have limited environmental validity and result in a failure to describe authentic arsenic biogeochemical cycles in natural freshwater systems. To validate the assumption, arsenic accumulation, and biotransformation in common bloom forming Microcystis wesenbergii was performed under a high nutrient concentration in BG11 medium (N = 250 mg/L, P = 7.13 mg/L), and adjusted low nutrients that mimicked values in natural freshwaters (N = 1.5 mg/L, P = 0.3 mg/L). The growth rate and maximum M. wesenbergii cell density were much lower in the high nutrient set, but more inhibition was shown with increasing ambient iAs(V) concentrations both in the high and low nutrient sets. The proportion of intracellular contents in total arsenicals decreased with increasing iAs(V) concentrations in both high and low nutrient sets but increased with incubation time. Intracellular iAs(III) was not found in the high nutrient set, while it formed high concentrations that could be comparable to that of an extracellular level in the low nutrient set. M. wesenbergii could methylate arsenic, and a higher proportion of organoarsenicals was formed in the low nutrient set. Lower intracellular MMA(V) and DMA(V) concentrations were found in the high nutrient set; contrarily, they presented a higher concentration that could be comparable to the extracellular ones in the low nutrient set. The results demonstrated that different nutrient regimes could affect arsenic accumulation and biotransformation in M. wesenbergii, and low nutrient concentrations could inhibit the excretion of iAs(III), MMA(V) and DMA(V) out of cells. Further investigations should be based on natural freshwater systems to obtain an authentic arsenic accumulation and biotransformation in cyanobacteria.
Driving organisational ambidexterity through process management. The key role of cultural change

There is an intense debate in the literature on the impact of process management on innovation, and the division of opinions becomes particularly apparent with regard to radical innovation. Furthermore, organisational ambidexterity, the organisational capability to undertake incremental as well as radical innovation activities, has been underlined as a key source of competitiveness. In this article, we analyse how the cultural divergence driven by process management can affect organisational ambidexterity. Through a survey carried out on a sample of Spanish firms in the furniture and textile sectors, both of which have been drastically hit by competition from Asian firms, we conclude that the cultural context created by process management practices applied in a total quality management framework, which embraces exploitation along with exploration values, acts as a platform for developing organisational ambidexterity. Since organisational ambidexterity constitutes the capability of undertaking a rich variety of learning and innovation activities, these results could also have significant implications for practitioners, pointing to the need for close coordination between different functional areas in order to manage cultural change.
Time-Dependent Changes in Protein Composition of Medial Prefrontal Cortex in Rats with Neuropathic Pain

Chronic pain is associated with time-dependent structural and functional reorganization of the prefrontal cortex that may reflect adaptive pain compensatory and/or maladaptive pain-promoting mechanisms. However, the molecular underpinnings of these changes and whether there are time-dependent relationships to pain progression are not well characterized. In this study, we analyzed protein composition in the medial prefrontal cortex (mPFC) of rats at two timepoints after spinal nerve ligation (SNL) using two-dimensional gel electrophoresis (2D-ELFO) and liquid chromatography with tandem mass spectrometry (LC–MS/MS). SNL, but not sham-operated, rats developed persistent tactile allodynia and thermal hyperalgesia, confirming the presence of experimental neuropathic pain. Two weeks after SNL (early timepoint), we identified 11 proteins involved in signal transduction, protein transport, cell homeostasis, metabolism, and apoptosis, as well as heat-shock proteins and chaperones that were upregulated by more than 1.5-fold compared to the sham-operated rats. Interestingly, there were only four significantly altered proteins identified at 8 weeks after SNL (late timepoint). These findings demonstrate extensive time-dependent modifications of protein expression in the rat mPFC under a chronic neuropathic pain state that might underlie the evolution of chronic pain characterized by early pain-compensatory and later aberrant mechanisms.
Association of Angio-LncRNAs MIAT rs1061540/MALAT1 rs3200401 Molecular Variants with Gensini Score in Coronary Artery Disease Patients Undergoing Angiography

Long non-coding RNAs (lncRNAs) have emerged as essential biomolecules with variable diagnostic and/or prognostic utility in several diseases, including coronary artery disease (CAD). We aimed for the first time to investigate the potential association of five angiogenesis-related lncRNAs (PUNISHER, SENCR, MIAT, MALAT1, and GATA6-AS) variants with CAD susceptibility and/or severity. TaqMan Real-Time genotyping for PUNISHER rs12318065A/C, SENCR rs12420823C/T, MIAT rs1061540C/T, MALAT1 rs3200401T/C, and GATA6-AS1 rs73390820A/G were run on the extracted genomic DNA from 100 unrelated patients with stable CAD undergoing diagnostic coronary angiography and from 100 controls. After adjusting covariates, the studied variants showed no association with disease susceptibility; however, MIAT*T/T genotype was associated with a more severe Gensini score. In contrast, MALAT1*T/C heterozygosity was associated with a lower score. The lipid profile, and to a lesser extent smoking status, male sex, weight, hypertension, and MALAT1 (T > C) (negative correlation), explained the variance between patients/control groups via a principal component analysis. Incorporating the principal components into a logistic regression model to predict CAD yielded a 0.92 AUC. In conclusion: MIAT rs1061540 and MALAT1 rs3200401 variants were associated with CAD severity and Gensini score in the present sample of the Egyptian population. Further large multi-center and functional analyses are needed to confirm the results and identify the underlying molecular mechanisms.
Design of hierarchical porous carbon with three-dimensional network through solvent-free nanocasting method for CO2 capture

Abstract A kind of hierarchical porous carbon (HCN) with three-dimensional network frameworks was successfully prepared by solvent-free nanocasting method using glucose as carbon source and ordered MCM-41 type of mesoporous silica with the different particle sizes as template. Meanwhile, its structure features and texture parameters were characterized by using XRD, N2 adsorption-desorption isotherms, SEM and TEM, FT-IR, Raman spectrum, XPS techniques. These results demonstrated that during the process of pyrolysis glucose was strongly interacted with mesoporous silica, leading to effective loading, then inverse duplicated the structure of mesoporous silica. The obtained sequence of hierarchical porous carbons possessed well-interconnected network structure and tunable wall thickness and size of network macropore. As demonstrations, the capacity of absorbed CO2 for serials of hierarchical porous carbons with three-dimensional network frameworks under room temperature was investigated. The result of CO2 adsorption isotherms indicated that the HCN pore architecture and morphologies played a key role in the CO2 capture process, specifically the size of network macropore and thickness of macroporous wall significantly affected the textural structure, the high microporous contents were benefit with improving the capacity of absorbed CO2.
Using Multilevel Structural Equation Modeling (MSEM) to Identify the Predictors and Influencing Mechanism of Technology Use Among Chinese Physicians: An Example from Des-Gamma-Carboxy Prothrombin (DCP)

Background Since expanding the use of appropriate and effective health technologies will greatly benefit the diagnosis and treatment of some major diseases at an early stage, understanding the mechanism of technology use is crucial for its successful implementation. Few previous studies focused on the healthcare providers and involved multi-facets factors at individual, technical, organizational, and environmental levels. Purpose To examine the influencing mechanism of technology use among Chinese physicians by integrating multilevel factors, Des-gamma-Carboxy Prothrombin (DCP) was taken as an example. Methods Through multistage random sampling, a cross-sectional questionnaire survey was conducted among physicians in charge of direct use of DCP of sampled secondary and tertiary hospitals. Since the sample data comprised two hierarchical levels (physicians and hospitals), multilevel structural equation modeling was used to link five aspects of factors with physicians’ technology use and estimate the effects. Results Totally, 229 physicians completed the investigation. The use of DCP appears to be at a relatively low level. Intra-class coefficients of the null model (unadjusted baseline model) suggested that physicians’ DCP use has a significant variation between hospitals. The final model identified that value cognition (B = 0.447, P < 0.01), experienced organizational practice (B = 0.203, P < 0.05), and perceived organizational atmosphere (B = −0.237, P < 0.01) contributed directly to physicians’ DCP use. Additionally, technical assessment, perceived organizational atmosphere, and perceived environmental pressure had indirect impacts on physicians’ DCP use that were mediated by value cognition and experienced organizational practice (P < 0.05). Conclusion This study incorporated and determined the significant direct or indirect role of value cognition, technical assessment, experienced organizational practice, perceived organizational atmosphere, and perceived environmental pressure. This influencing mechanism with integrated multilevel factors could serve as a theoretical basis for tailoring interventions to promote technology use among Chinese physicians.
Translation and psychometric validity of the Brazilian version of the European Organisation for Research and Treatment of Cancer—colorectal liver metastases module

Patients with liver metastasis of colorectal cancer (CRC) experience important lifestyle changes that impair the quality of life (QoL). The use of instruments is important to assess the cancer patients’ QoL. To develop a Brazilian translation of the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Colorectal Liver Metastases (QLQ-LMC21) questionnaire, and to investigate psychometric validity in patients with CRC with liver metastases, patients with liver metastasis from CRC answered the Brazilian versions of EORTC core Quality of Life Questionnaire-Core 30 (QLQ-C30) and the QLQ-LMC21 module, a demographic data questionnaire and a questionnaire to assess understanding against the translated QLQ-LMC21. Data collection was performed in three Southern hospitals in Brazil, from August 2017 to August 2019. Descriptive analyses and Spearman’s correlation tests were performed for construct and criterion validity. The Cronbach’s alpha test was performed to assess reliability. Significant values were p < 0.05. Ten patients participated in the study for the pilot test and 106 for validation, with a mean age of 58.2 + 12.4 years old. The translated questionnaire was easy to understand for the participants in the pilot test phase, with no need for modification. In the validation of the convergent construct, all the correlations were significant (p < 0.001) and with coefficients above 0.53. In the discriminant validity, among items of different scales, the values of the divergent correlations were pain scale (0.005 to 0.186) and fatigue (−0.01 to 0.186), all non-significant. In the criterion validation, the correlations were significant, p < 0.05, and higher among similar scales of the QLQ-LMC21 and QLQ-C30, p-value < 0.001. The total internal consistency of the questionnaire was adequate, with a Cronbach’s alpha value of 0.790. The Brazilian version of the QLQ LMC21 proved to be a valid reliable questionnaire to be used in conjunction with the QLQ-C30.