Miracle-dz/UniFAR-FTUs huggingface dataset:
Growth and development response of Antirrhinum to plant growing media

The seedlings of Antirrhinum majus L. cv. ‘Orchid Rocket Mixed’ at four leaf stage (two cotyledonary leaves and two true leaves) were planted in 15 cm diameter pots containing seven combinations of plant growing media viz., river sand, silt, leaf mold, river sand+silt (1:1), river sand+leaf mold (1:1), silt+leaf mold (1:1) and river sand+silt+leaf mold (1:1:1). The experiment was laid out in ‘Randomised Complete Design’ while each pot was considered as a replicate. Three equally spaced plants were kept in one pot in one replication and there were three replications in each treatment. Plant growth and development parameters indicated that plant height was signifi cantly (P<0.05) affected by growing media and time interval. Plants grown in leaf mold attained maximum height than the other treatments. A linear and signifi cant (P<0.05) increase in leaf development was observed in seven growing media such as plants grown in leaf mold media produced maximum number of leaves than the others. Similarly, plants grown in leaf mold media took minimum time to fl owering, maximum number of fl ower buds per spike, maximum number of branches per plant, and maximum stem, leaf and plant fresh and dry weight.
Applications of Electrochemistry at Liquid/Liquid Interfaces for Ionizable Drug Molecule Sensing

Electrochemistry at an interface between two immiscible electrolyte solutions (ITIES) offers a great opportunity to be applied to electroanalytical, biological and energy related research fields. In particular, ion transfer processes across a polarized ITIES have been employed as powerful electrochemical ion sensing platforms. This review will highlight recent developments in addition to some challenges and future aspects on developing ion selective sensing platforms utilizing ITIES specific to ionizable pharmaceutical reagents (drugs).
GAN Generated Images of Fruit Decay

About a third of all food produced in the world spoils and goes to waste. Computer vision models can help reduce such wastage. However, effectively training deep learning models requires large amounts of data. This project explores the feasibility of using two different types of GANs to generate large amounts of produce images with different levels of spoilage so that the synthetic images (along with natural images) can help develop an accurate classiﬁer to evaluate the quality and freshness of produce. Style transfer type GAN is used to control the size of defects on the skin of the produce. Data Augmentation type GANs are used to generate many synthetic images that belong to the same class. Preliminary results indicate 12% improvement in classiﬁcation accuracy based on the use of synthetic images.
Well-Being Depends on Social Comparison: Hierarchical Models of Twitter Language Suggest That Richer Neighbors Make You Less Happy

Psychological research has shown that subjective well-being is sensitive to social comparison effects; individuals report decreased happiness when their neighbors earn more than they do. In this work, we use Twitter language to estimate the well-being of users, and model both individual and neighborhood income using hierarchical modeling across counties in the United States (US). We show that language-based estimates from a sample of 5.8 million Twitter users replicate results obtained from large-scale well-being surveys - relatively richer neighbors leads to lower well-being, even when controlling for absolute income. Furthermore, predicting individual-level happiness using hierarchical models (i.e., individuals within their communities) out-predicts standard baselines. We also explore language associated with relative income differences and find that individuals with lower income than their community tend to swear (f*ck, sh*t, b*tch), express anger (pissed, bullsh*t, wtf), hesitation (don't, anymore, idk, confused) and acts of social deviance (weed, blunt, drunk). These results suggest that social comparison robustly affects reported well-being, and that Twitter language analyses can be used to both measure these effects and shed light on their underlying psychological dynamics.
Spectrophotometric determination of colchicine using iron(III) chloride and 1,10- phenanthroline

A new spectrophotometric method for the quantitative determination of colchicine in pure and its pharmaceutical formulations has been developed. The method involves the oxidation of colchicine by iron(III) chloride and subsequent complexation of iron(II) with 1,10-phenanthroline forming a red coloured complex having maximum absorbance at 510 nm. Beer's law holds well in the concentration range 5-50 μg ml - 1 . The common excipients do not interfere with the proposed method. The results of the proposed method are in good agreement with the reported method and show no significant difference in the precision.
Guest Editorial Part 2: Emerging Issues for Secure Knowledge Guest Editorial Part 2: Emerging Issues for Secure Knowledge Management—Results of a Delphi Study Management—Results of a Delphi Study

— Secure Knowledge Management (SKM) is one of the emerging areas in both knowledge management and information system disciplines. SKM refers to the management of knowledge while adhering to principles of security and privacy. This study identiﬁes key issues on SKM and draws a consensus among domain experts on the key issues. This study is an attempt to accelerate further research and development in the SKM ﬁeld. In this study, the authors conducted a three-round Delphi study, identifying 21 issues in the SKM area, along with their importance and urgency ratings. Analyses show that participating experts achieved a higher level of consensus on the importance and urgency of the issue as the rounds progressed. The ﬁndings will allow both practitioners and researchers to focus and prioritize research needs in the SKM area. The paper also discusses some future-research directions.
QSAR-Based Design of Potent Betulinic Acid Derivatives as HIV Maturation Inhibitors

The maturation process on HIV life-cycles has become one of the targeted steps to inhibit these viruses. This process involves two kinds of proteins, namely HIV-protease and SP1-Gag. Betulinic acid (BA) and its derivatives had been known as potential inhibitors of HIV maturation. As their capability to modeling and also predict the activity of some analog compounds by using the descriptors, quantitative structure-activity relationship (QSAR) has been used to design more potent "new drugs" in recent years. Three-dimensional (3D) descriptors explained the topology of a compound and had proven to have relations to the compound's biological activity. In this study, QSAR models were designed from 29 BA derivatives with HIV maturation inhibition activities. The best model involves 5 descriptors as follows: 1/logEC50 = -473.8 + (71.03 × TDB6u) + (764.7 × FPSA-3) + (-0.604 × RDF140u) + (0.882 × RDF80e) + (0.262 × PPSA-3) r = 0.792 SEE = 2.0305 Fcal/Ftab = 7.5621 rtest = 0.9798 Q = 0.9644 rm = 0.9445 The QSAR model was then used to design and predict some of the new BA derivatives’ HIV maturation activities. The best predicted compound had 1/logEC50 value of -0.838 and EC50 value of 0.064 nM with the chemical name of 4‐[(1R,3aR,5aR,5bR,7aS,11aR,11bS,13aS,13bS)‐5a,5b,8,8,11b‐penta methyl‐ 1‐(prop‐1‐en‐2‐yl)‐3a[({2‐[4‐(pyrimidin‐2‐yl)piperazin‐1‐yl]ethyl} amino)methyl]‐ icosahydro‐1H-cyclo penta[a]chrysen‐9‐yl]benzoic acid. The synthetic route to the proposed compound also suggested in this report.
The Impact of Organisational Commitment and Job Embeddedness on Employee Turnover Intention in the Hotel Industry of Pakistan: The Mediating Impact of Job Satisfaction

This quantitative research study, based on primary data, aims to identify the relationship and signification of the job embeddedness and organisation commitment on employees’ turnover intention in the hotel industry in Pakistan. The data was collected from five hotels based in twin metropolitan cities of Pakistan (Rawalpindi and Islamabad), and equal opportunity to participate was provided to both males and females. The convenience random dappling strategy was used to opt the data. The current study identified that organisational commitment has a significant relationship with job satisfaction, showing data as (ΔR2 = .736 at p < 0.01), while a significant and positive relationship of job embeddedness and job satisfaction has been identified, with highly correlated values between the variables. There has been mediation impact supported by the results of the study, which says that organisational commitment and job embeddedness is significant and highly inverse with (β=-0.396 at p< 0.05) against employees’ turnover intention. Thus, in the hotel industry of Pakistan, job satisfaction highly mediates the prelateship of the embeddedness and commitment with the turnover intention.
Abstract Assessment of spline functions for estimating growth curve parameters of FUNAAB- Alpha chickens

Assessment of spline functions for estimating growth curve parameters of FUNAABAlpha chickens Bashiru, H. A. , Oseni, S. O. and Omadime, L. A. Department of Animal Sciences, Faculty of Agriculture, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria Corresponding author: hameedbashiru@gmail.com; +2348072959437 The objective of this study was to fit four spline linear regression models to describe the growth of FUNAAB-Alpha Chickens (FAC). Body weight records of 300 FAC raised from day th old till the 20 week were used to fit spline models of 3 (SP3), 4 (SP4), 5 (SP5) and 6 knots ® (SP6) using the REG procedure of SAS . The data were first plotted to determine the most th th th th appropriate location of knots and they were placed at 4 , 10 and 16 week of age for SP3; 4 , th th th th th th th th rd th th th th 8 , 12 and 16 week for SP4; 4 , 7 , 10 , 14 and 18 week for SP5 and 3 , 6 , 9 , 12 , 15 th and 18 week for SP6, respectively. The hatch weight predicted by SP3 was observed to be highest while SP6 predicted the lowest hatch weight for male and female FAC. Regression coefficients ranged from -38.47 to 47.46 and -39.40 to 40.47 for the male and female, respectively. For all the models, the highest magnitude of these coefficients were estimated at early ages after hatching (at 3 to 10 weeks of age). Based on Bayesian Information Criterion (BIC) and Akaike Information Criterion (AIC) as the goodness-of-fit selection criteria, SP3 had the lowest value for AIC and BIC for male FAC while SP4 had the lowest value of AIC and BIC for the female FAC. It was concluded that spline models of lower knots (SP3 and SP4) were the best fit to describe the growth of male and female FAC respectively, and that growth rate at early stages of life of FAC may be good predictors of later growth performance.
The Smartphone Addiction Scale for University Students: Psychometric Characteristics and Factor Structure

Elsayed Mohammed Abu hashem Hassana, Ismael Salamah Albursanb, Mohammad Farhan Al. Qudahc, Salaheldin Farah Attallah Bakhietd*, Hafidha Sulaiman Al-Barashdie, Ahmad M. Thawabiehf, Khalid Ahmed Othman Alghamdig, Ahmed Haddadih, Youssef Galal Youssef Abouelmeatyi, a,b,c,hKing Saud University, Department of Psychology, College of Education, Saudi Arabia, dKing Saud University, Department of special education, College of Education, Saudi Arabia, eThe Research Council, Sultanate of Oman, fTafila Technical University, Department of Educational Psychology, gTaif University, Department of psychology, College of Education, Saudi Arabia, iKing AbduAziz University, Faculty of Educational Graduate Studies, Email: ashashem@ksu.edu. sa, bibursan@ksu.edu. sa, cmalqudah@ksu.edu. sa, d*bakhiet@ksu.edu. sa, eHafidhaalbarashdi@gmail.com, fahmadthawabieh@yahoo.com, gkhalid.A. alghamdi1@gmail.com, hAhn.1984@yahoo.com, iYoussef_galal@hotmail.com
Choosing Your Pond: A Structural Model of Power Sharing

Although political parties are central to democratic functioning, the internal structure of party organizations is still a black box. I build a model of party formation that explains the within-party power sharing, party stability, and party-size distributions across different electoral systems. In the model, party control over government functions generates club goods. Politicians share their political rents with party leaders in exchange for accessing parties’ club goods. I estimate my model for Turkey with a dataset of all listed politicians between 1995 and 2014. My model matches the high party-switching rate (28.5%) in the Turkish parliament. I find that the right-wing parties accumulate club goods more easily then they produce rents, which leads to strong party control. The counterfactual exercises suggest that the possibility of a coup d’état (granting more bargaining power to politicians) lowers (improves) the average quality of the political class. JEL Classifications: D71, D72, J4, J410
Use of computational intelligence in the genetic divergence of colored cotton plants

The objective of this work was to analyze the genetic diversity using conventional methods and artificial neural networks among 12 colored fiber cotton genotypes, using technological characteristics of the fiber and productivity in terms of cottonseed and cotton fiber yield. The experiment was conducted in an experimental area located at Fazenda Capim Branco, belonging to the Federal University of Uberlândia, in the city of Uberlândia, Minas Gerais. Twelve genotypes of colored fiber cotton were evaluated, 10 from the Cotton Genetic Improvement Program (PROMALG): UFUJP 01, UFUJP 02, UFUJP 05, UFUJP 08, UFUJP 09, UFUJP 10, UFUJP 11, UFUJP 13, UFUJP 16, UFUJP 17 and two commercial cultivars: BRS Rubi (RC) and BRS Topázio (TC). The experimental design used was complete randomized block (CRB) with three replications. The following evaluations were carried out at full maturation: yield of cottonseed (kg ha-1) and the technological characteristics, which include, fiber length, micronaire, maturation, length uniformity, short fiber index, elongation and strength, using the HVI (High volume instrument) device. Genetic dissimilarity was measured using the generalized Mahalanobis distance and after obtaining the dissimilarity matrix, the genotypes were grouped using a hierarchical clustering method (UPGMA). A discriminant analysis and the Kohonen Self-Organizing Map (SOM) by Artificial Neural Networks (ANN’s) were performed through computational intelligence. SOM was able to detect differences and organize the similarities between accesses in a more coherent way, forming a larger number of groups, when compared to the method that uses the Mahalanobis matrix. It was also more accurate than the discriminant analysis, since it made it possible to differentiate groups more coherently when comparing their phenotypic behavior. The methods that use computational intelligence proved to be more efficient in detecting similarity, with Kohonen's SelfOrganizing Map being the most adequate to classify and group cotton genotypes.
UWS Academic Portal Effects of COVID-19 lockdown on physical activity and satisfaction with life in Qatar

This study examined the effects of home confinement on physical activity (PA) and life satisfaction during the COVID-19 outbreak in Qatar. A total of 1144 subjects participated (male: n = 588; female: n = 556; age: 33.1 ± 11.1 years; mass: 76.1 ± 16.4 kg; height: 1.70 ± 0.11 m; body mass index (BMI): 26.1 ± 4.44 kg/m2). Online survey questions considered “before” and “during” confinement. Confinement reduced all PA intensities (ηp = 0.27–0.67, p < 0.001) and increased daily sitting time from 3.57 ± 1.47 to 6.32 ± 1.33 h per weekday (ηp = 0.67, p < 0.001). The largest reduction was detected for the sum parameter all physical activity (minutes per week, ηp = 0.67, p < 0.001; MET (metabolic equivalent of task)-minutes/week, ηp = 0.69, p < 0.001). Life satisfaction decreased, with the score for “I am satisfied with my life” (ηp = 0.76, p < 0.001) decreasing from 28.1 ± 4.81 to 14.2 ± 6.41 arbitrary units (AU). Concerning life satisfaction, the largest change was detected for the statement “the conditions of my life are excellent” (dmale = 7.93). For all parameters, time effects were indicative of large negative effects in both genders. In terms of magnitude, the difference between gender was greatest for the parameter “the conditions of my life are excellent” (difference between groups, d = 4.84). In conclusion, COVID-19 confinement decreased PA, increased sitting time, and decreased life satisfaction in Qatar. These precautionary findings explicate the risk of psychosocial impairment and the potential physical harm of reducing physical activity during early COVID-19 confinement in 2020.
Photoperiodism and pen colouration: effects on the performance characteristics of growing gilts

This study was carried out to investigate the effects of photoperiod and pen colouration on growth performance characteristics of grower gilts. Forty-eight crossbred (Large white x Landrace) grower gilts at 16 weeks of age with mean body weight of 16.82±0.26 kg were randomly allotted to four (4) treatments. Pens were painted with different colours: pantone441 (control), pantone293 (blue), pantone185 (red) and pantone361 (green) and exposed to photoperiods of 12, 15 and 18 hours (h). The experimental design was 4x3 factorial arrangement in a completely randomised design. Performance parameters measured were Feed Intake (FI), Final Weight (FW) and Weight Gain (WG), while Feed Conversion Ratio (FCR) was calculated weekly throughout the 8 weeks of the experiment. Respiratory and rectal temperatures were monitored. The ambient temperature-humidity index (THI) was also monitored. The main effect of pen colour showed significant (p<0.05) variations in FW and WG of gilts with values ranging from 33.68±0.78 kg (red) to 31.00±2.13 kg (green) and 2.10±0.10 kg (red) to 1.77±0.25 kg (green) respectively. Significant reduction was observed in the FCR of gilts in red pens (4.02±0.30) compared to their counterparts in blue (5.05±0.79), green (4.54±0.75) and control (4.13±0.22) pens. However, photoperiod had no significant effects on FW and WG across the treatments. Gilts in 12 h photoperiod had the highest significant (p<0.05) FI and FCR of 9.21±1.68 kg and 4.84±0.83 compared to 7.97±0.19 kg and 4.22±0.52 recorded for gilts exposed to 18h photoperiod respectively. Interactions of pen colour x photoperiods: control pen x 12 h (32.18±0.57), blue pen x 12 h (33.00±1.41), red pens x 12 h (34.25±0.50) and green pens x 12 h (29.00±0.82) was significant for FW. The same trend was also observed for WG, FI and FCR. The THI varied from 79.5 to 71.5 throughout the period of the experiment. It can therefore be concluded that increasing the photoperiod (hour of day-length) beyond 12 hours may not lead to additional positive impact on the weight changes of gilts but resulted in better feed conversion ratio. However, gilts housed in red pen had better feed utilisation.
ELECTRONIC HEALTH RECORD (EHR) ADOPTION IN SOUTH AFRICAN HEALTHCARE CENTRES: A CASE OF NW PROVINCE

Electronic Health Records (EHRs) enable the healthcare sector to enjoy increased efficiency and throughput, whilst cutting overhead costs in healthcare centres. The aim of this study was to investigate the adoption of EHRs in South Africa by identifying the factors that influence their rate of adoption within healthcare institutions. The Theory of Planned Behaviour (TPB), Diffusion of Innovation (DoI) Theory and the Technology Acceptance Model 2, (TAM2) are used as the theoretical lenses through which this problem was viewed. Results showed support for some of the factors of TPB, TAM2 and DoI, namely Relative Advantage, Output Quality, Result Demonstrability, Computer Self-Efficacy, System Complexity and Enjoyment/Job Satisfaction. A new variable – Patient Safety Endangerment – was also found to have a significant influence on the healthcare worker’s decision to use a particular EHR. It is with this information that a better understanding of how EHRs are used in the North West Province can be established and this information can be used by decision makers when implementing similar systems to maximise their adoption.
Context-Based Meta-Reinforcement Learning with Structured Latent Space

Meta-reinforcement learning (meta-RL) allows agents to adapt quickly to unseen new tasks when trained on similar tasks. Given context information from a set of tasks, recent methods perform online probabilistic inference on the task at hand and leverage the estimated posterior to achieve transferable skills. Most of the context-based meta-RL algorithms use Gaussian latent variables to model the task distribution. However, complex tasks are not controlled by single variable in real world settings, which inherently cannot be modeled by isotropic Gaussian random variables. In this paper, we propose a structured latent space that combines Gaussian random variables with Dirichlet random variables. Inspired by the topic models, we assume the tasks are represented as a mixture of “base tasks” (modeled by the Dirichlet distribution) and style factors (modeled by Gaussian distribution), thus disentangling and factorizing the latent space. We show in our experiments that the proposed method provides more accurate task inference and a boost in performance in meta-learning benchmarks.
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA

A sketch of a large data set captures vital properties of the original data while typically occupying much less space. In this paper, we consider the problem of computing a sketch of a massive data matrix A ∈ R n × d that is distributed across s machines. Our goal is to output a matrix B ∈ R (cid:96) × d which is signiﬁcantly smaller than but still approximates A well in terms of covariance error, i.e., (cid:107) A T A − B T B (cid:107) 2 . Such a matrix B is called a covariance sketch of A . We are mainly focused on minimizing the communication cost, which is arguably the most valuable resource in distributed computations. We show that there is a nontrivial gap between deterministic and randomized communication complexity for computing a covariance sketch. More speciﬁcally, we ﬁrst prove an almost tight deterministic communication lower bound, then provide a new randomized algorithm with communication cost smaller than the deterministic lower bound. Based on a well-known connection between covariance sketch and approximate principle component analysis, we obtain better communication bounds for the distributed PCA problem. Moreover, we also give an improved distributed PCA algorithm for sparse input matrices, which uses our distributed sketching algorithm as a key building block.
Accident Analysis and Prevention

Anger is a common behaviour exhibited by road users when one’s goals are perceived to have been blocked by another. Recent research has demonstrated that, generally, cyclists tend to deal with anger in constructive ways. However, when anger does manifest, it can result in behaviours that increase their crash risk. Amongst motor vehicle drivers, mindfulness levels have been associated with less anger and appear to mediate anger and associated aggression. The current study sought to understand whether mindfulness has similar associations with anger and aggression in a sample of cyclists. A total of 583 cyclists (males = 68 %) completed an online questionnaire that sought information on their levels of mindfulness, current mindfulness practices and tendencies for anger and aggression while cycling. The relationships between these were then examined using structural equation modelling. The results showed that cyclists with higher mindfulness levels tended to report less anger across a range of situations (e.g., interactions with pedestrians, cyclists, motor vehicle drivers and police). Both direct and indirect (through anger) relationships were found between mindfulness and aggression, again showing that more mindful cyclists tended to engage in less frequent aggression. These findings align with recent research investigating this relationship amongst motor vehicle drivers and suggest that mindfulness may be a promising strategy to reduce or avoid anger and aggression in cyclists.