Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship Between Attachment Style and Social Network Addiction with the Mediating Role of Personality Traits

Background: Social network sites (SNS) addiction has recently been a major concern and a common problem worldwide that makes it essential to examine the specifications of users and identify antecedents of it. Objectives: This study aimed at examining the relationship between attachment style and social media addiction with the mediating role of personality traits. Patients and Methods: In this research, the sample population was comprised of all of the students of universities in Tehran, Iran, during the academic year of 2018 - 2019. The participants (n = 241) were selected from universities in Tehran using the conventional method. The data were collected using measure of attachment qualities (MAQ), Social Media Disorder scale (SMDS), and Cloninger’s Temperament and Character Inventory (TCI), and then the data were analyzed using the chi-square, correlation coefficient, and structural modeling tests by SPSS and LISREL software. Results: The results showed there is a significant relationship between the worry-ambivalent (r = 0.308, P < 0.05) and the disorganize-ambivalent (r = 0.322, P < 0.05) (attachment styles) and the SNS addiction. Moreover, the structural model showed that among attachment styles, the ambivalence-disorganize attachment could mediate the social network addiction based on the character dimension of self-directedness (CFI: 0.94, NFI: 0.92, RMSEA: 0.09). Conclusions: The character dimension of self-directedness can reduce the adverse effects of insecure attachment and thus reduce the risk of addiction to SNS.
Modeling Coliform Mortality in Waste Stabilization Ponds

The mechanisms of the reduction of fecal coliforms were investigated in pilot-scale and full-scale wastewater stabilization ponds under tropical climatic conditions. Field studies were conducted in pilot and large waste stabilization ponds with pond depths ranging from 1.0 to 1.82 m and hydraulic retention time between 4.3 and 11.2 d, to develop and verify the model. The observation made indicates that sunlight intensity, pond depth, and pH were the key input parameters to the model. In a multifactor developed model, the bacterial mortality rate constant for pH, kpH was 0.0135 d −1 and the ratio of rate constant for the light mortality term to light attenuation coefficient k s /K was 5.67 × 10 −4 m cm 2 /cal. The model was successfully verified by simulation with data obtained from field-scale pond systems in Tanzania and from two other pond systems reported in the literature. A brief model application, including the prediction of water pH, is given to aid the designer.
A Theory for Predicting the Size and Velocity of Droplets from Pressure Nozzles

This article presents generalized theoretical and semitheoretical atomization equations, and examines their validity using published experimental data. It was postulated that atomization can be explained by energy balance in a process where a small mass (Dm) of liquid (with no initial surface) separates from a liquid sheet into a single droplet. This leads to drop-size/velocity correlation equations, which describe the behavior of droplets just after (or near) their formation. It also allows prediction of the lower limit for the minimum diameter (dfMIN) and the upper limit for the maximum diameter (dfMAX) in a spray. When viscosity is negligible, dfMIN is associated with Weber’s number (Nwe), and dfMAX is associated with Bond’s number (Nbo). When surface tension is negligible, dfMIN is associated with Reynold’s number (Nre), and dfMAX is associated with a dimensionless group equivalent to NboNre/Nwe. The semitheoretical equation agreed well with the experimental data. The theoretical equation showed discrepancies at sizes below 100 mm, but overall agreement was reasonable. Also, 4.57% of the energy extracted from the liquid sheet was unaccounted for. While only 13.3% of that was attributed to the grouping of the data, the effect of grouping on velocities of smaller droplets was significant.
Chemical components and pharmacological benefits of Basil (Ocimum basilicum): a review

ABSTRACT Basil (Ocimum basilicum) is one of the most important crops with essential oils as well as polyphenols, phenolics, flavonoids and phenolic acids. This annual plant belongs to mint family, and indigenous to tropical regions. Basil leaves also has tremendous pharmaceutical benefits and it is common to use in rice, meat, stews and soups. Traditionally, it has been used in kidney problems, as a haemostyptic in childbirth, earache, menstrual irregularities, arthritis, anorexia, treatment of colds and malaria. Basil has been shown positive effects against viral, fungal, bacterial and some infections. Basil leaves have been used in treatment of fevers, coughs, flu, asthma, bronchitis, influenza and diarrhea. Basil Seed Mucilage, commonly known as basil seed gum. Basil seed mucilage can be considered as thickening, stabilizing, fat substitute, texurizer, surface-active and emulsifying hydrocolloid. The most important pharmacological uses of basil are anti-cancer activity, radioprotective activity, anti-microbial activity, anti-inflammatory effects, immunomodulatory activity, anti-stress activity, anti-diabetic activity, anti-pyretic activity, anti-arthritic activity, anti-oxidant activity, as a prophylactic agent and in cardiovascular disease.
Estimating Plant Pasture Biomass and Quality from UAV Imaging across Queensland’s Rangelands

The aim of this research was to test recent developments in the use of Remotely Piloted Aircraft Systems or Unmanned Aerial Vehicles (UAV)/drones to map both pasture quantity as biomass yield and pasture quality as the proportions of key pasture nutrients, across a selected range of field sites throughout the rangelands of Queensland. Improved pasture management begins with an understanding of the state of the resource base, UAV based methods can potentially achieve this at improved spatial and temporal scales. This study developed machine learning based predictive models of both pasture measures. UAV-based structure from motion photogrammetry provided a measure of yield from overlapping high resolution visible colour imagery. Pasture nutrient composition was estimated from the spectral signatures of visible near infrared hyperspectral UAV sensing. An automated pasture height surface modelling technique was developed, tested and used along with field site measurements to predict further estimates across each field site. Both prior knowledge and automated predictive modelling techniques were employed to predict yield and nutrition. Pasture height surface modelling was assessed against field measurements using a rising plate meter, results reported correlation coefficients (R2) ranging from 0.2 to 0.4 for both woodland and grassland field sites. Accuracy of the predictive modelling was determined from further field measurements of yield and on average indicated an error of 0.8 t ha−1 in grasslands and 1.3 t ha−1 in mixed woodlands across both modelling approaches. Correlation analyses between measures of pasture quality, acid detergent fibre and crude protein (ADF, CP), and spectral reflectance data indicated the visible red (651 nm) and red-edge (759 nm) regions were highly correlated (ADF R2 = 0.9 and CP R2 = 0.5 mean values). These findings agreed with previous studies linking specific absorption features with grass chemical composition. These results conclude that the practical application of such techniques, to efficiently and accurately map pasture yield and quality, is possible at the field site scale; however, further research is needed, in particular further field sampling of both yield and nutrient elements across such a diverse landscape, with the potential to scale up to a satellite platform for broader scale monitoring.
The Helix-Coil Kinetics of a Heteropeptide

We have measured the kinetics of the helix-coil transition for the synthetic 21-residue peptide Ac-WAAAH+(AAAR+A)3A-NH2 initiated by nanosecond laser temperature jumps. This peptide was designed with tryptophan in position 1 and histidine in position 5 so that the side chains interact when the backbone of residues 1−5 is α-helical. Histidine, when protonated, efficiently quenches tryptophan fluorescence providing a probe for the presence of helical structure. The kinetics measured throughout the melting transition are well-described by a single-exponential relaxation, with a rate of 3.3 × 106 s-1 at 301 K, the midpoint of the helix−coil transition. The rate increases with increasing temperature with an apparent activation energy of approximately 8 kcal/mol. To interpret these results we have fitted the equilibrium and kinetic data with the statistical mechanical model of Munoz et al. (Proc. Natl. Acad. Sci. U.S.A. 1998, 95, 5872−5879). This model includes both variable helix propensities and side chain−si.
l-carnitine and l-acetylcarnitine supplementation for idiopathic male infertility

Summary Fifteen percent of couples are globally estimated to be infertile, with up to half of these cases attributed to male infertility. Reactive oxidative species (ROS) are known to damage sperm leading to impaired quantity and quality. Although not routinely assessed, oxidative stress is a common underlying pathology in infertile men. Antioxidants have been shown to improve semen analysis parameters by reducing ROS and facilitating repair of damage caused by oxidative stress, but it remains unclear whether they improve fertility. Carnitines are naturally occurring antioxidants in mammals and are normally abundant in the epididymal luminal fluid of men. We conducted a systematic review and meta-analysis to evaluate the safety and efficacy of carnitine supplementation for idiopathic male infertility. We searched ClinicalKey, ClinicalTrials.gov, Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE, MEDLINE, PubMed and ScienceDirect for relevant studies published from 1 January 2000 to 30 April 2020. Of the articles retrieved, only eight randomised controlled trials were identified and included. Analysis showed that carnitines significantly improve total sperm motility, progressive sperm motility and sperm morphology, but without effect on sperm concentration. There was no demonstrable effect on clinical pregnancy rate in the five studies that included that outcome, although patient numbers were limited. Therefore, the use of carnitines in male infertility appears to improve some sperm parameters but without evidence of an increase in the chance of natural conception. Lay summary Although male infertility affects 1:15 men, there is no obvious reason in the vast majority of cases. Reactive oxidative species (ROS) are highly active molecules containing oxygen and are natural byproducts of normal metabolism. However, high concentrations of ROS have been shown to damage sperm, which negatively impacts a couple’s ability to conceive. Carnitines are natural antioxidants found in the body that counterbalance the damaging effects of ROS. We conducted a comprehensive review of published studies to assess whether carnitine supplements are safe and effective in improving sperm quality and pregnancy rates. Our analysis shows that carnitines improve sperm swimming and production of normal-shaped sperm cells but do not affect sperm count or pregnancy rates, although there are only a few studies and scientific evidence is limited. Whilst it is possible that carnitines may benefit male infertility, more evidence is required regarding chances of pregnancy after carnitine therapy.
Pre-Training Autoencoder for Lung Nodule Malignancy Assessment Using CT Images

Lung cancer late diagnosis has a large impact on the mortality rate numbers, leading to a very low five-year survival rate of 5%. This issue emphasises the importance of developing systems to support a diagnostic at earlier stages. Clinicians use Computed Tomography (CT) scans to assess the nodules and the likelihood of malignancy. Automatic solutions can help to make a faster and more accurate diagnosis, which is crucial for the early detection of lung cancer. Convolutional neural networks (CNN) based approaches have shown to provide a reliable feature extraction ability to detect the malignancy risk associated with pulmonary nodules. This type of approach requires a massive amount of data to model training, which usually represents a limitation in the biomedical field due to medical data privacy and security issues. Transfer learning (TL) methods have been widely explored in medical imaging applications, offering a solution to overcome problems related to the lack of training data publicly available. For the clinical annotations experts with a deep understanding of the complex physiological phenomena represented in the data are required, which represents a huge investment. In this direction, this work explored a TL method based on unsupervised learning achieved when training a Convolutional Autoencoder (CAE) using images in the same domain. For this, lung nodules from the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) were extracted and used to train a CAE. Then, the encoder part was transferred, and the malignancy risk was assessed in a binary classification—benign and malignant lung nodules, achieving an Area Under the Curve (AUC) value of 0.936. To evaluate the reliability of this TL approach, the same architecture was trained from scratch and achieved an AUC value of 0.928. The results reported in this comparison suggested that the feature learning achieved when reconstructing the input with an encoder-decoder based architecture can be considered an useful knowledge that might allow overcoming labelling constraints.
PENGARUH PERSEPSI MANFAAT, KEMUDAHAN DAN KEAMANAN TERHADAP KEPUTUSAN PENGGUNAAN E-WALLET

This study aims to determine the effect of perception of benefits, perception of ease, and security perception on the decision to use e-wallet for STIE Bank BPD Jateng students. The population in this study is the active students of 2016 - 2019 who are in STIE Bank BPD Jateng, amounting to 824 students. The sampling technique used in this study uses snowball sampling and The number of samples selected was 90. Data collection methods with questionnaires distributed online. The analytical tool in this study is multiple linear regression analysis. The results show that the perception of benefits, perceived convenience, and perceived security have a positive and significant effect on the decision to use e-wallet for students. Variable perception of security has a dominant influence on the decision to use e-wallet for students. Security is indeed the most important in the decision to use e-wallet because someone feels safe and protected.
To study the relationship between Parental authority, personality, self-efficacy and life satisfaction among school-going children

Background: Parenting is the state of being a parent. Being a parent, you have to ensure children’s health and safety, transmit cultural values, and preparing children for life as an adult. Baumrind identified three forms of parenting styles: authoritative parenting style is where elders love and discipline the child, authoritarian parenting style is where the elders are strict as well as demanding, and the Permissive parenting style is where elders implement very little rules and permit kids to form their own decisions. Aim: This study aimed to research the relationship and effects of parental authority on personality dimensions, self-efficacy, and satisfaction with life. Methodology: ninety students served as participants for this study and age ranged from 13-17 years and an equal range of boys and girls. The following scales were administered on participants: The Parental Authority Questionnaire (PAQ) by Buri (1991), Ten-Item Personality Inventory (TIPI) by Gosling et al. (2003), Generalized Self-Efficacy Scale (GSES) by Schwarzer and Jerusalem (2013), and Satisfaction with Life Scale (SWLS) by Diener et al (1985). Results: Although finding unconcealed that the authoritative parenting style was associated with openness to expertise personality dimension.
ASEAN Corporate Governance Scorecard: Sustainability Reporting and Firm Value

This study aims to test empirically whether the ASEAN Corporate Governance Scorecard (ACGS) has a positive effect on Sustainability Reporting (SR) and whether the ACGS and Sustainability Reporting (SR) have a positive effect on Firm Value (FV). The study was conducted in five ASEAN countries Indonesia, Malaysia, Singapore, Philippines, and Thailand from 2014 2017. The research sample was collected from companies with the ACGS data and obtained with the help of 359 company observations. Hypothesis testing was performed using the Ordinary Least Square (OLS). The results of the study do not support all hypotheses. The ACGS has no effect on sustainability reporting. The ACGS has a significant negative effect on firm value, while sustainability reporting has a negative and insignificant effect on firm value. The ACGS and sustainability reporting are not good news for investors. This research’s limitation is that companies rarely disclose the final value of the ACGS in their annual reports, so this research uses content analysis. The weakness of content analysis is the researchers’ subjectivity so that the point of view between researchers is different. Besides, sustainability reporting for several ASEAN countries is voluntary, so not all companies can be sampled, which ultimately affects interpretation.
Rapid Detection of Psychrotrophic Bacteria in Relation to Retail Beef Quality

Media and incubation conditions were compared to establish a rapid method for the detection of psychrotrophic bacteria from retail beef Of the methods tested, incubation of plate count agar (PCA) at 25°C for 24 hr gave the most accurate measure of the psychrotrophic bacterial population when compared to the recommended procedure (7°C, 10 days). Moreover, the initial bacterial load as determined following 25°C (24 hr) incubation was directly related to the retail case life of steaks. Increasing the temperature of incubation of PCA to 25°C results in a substantial reduction in the time required for psychrotroph enumeration, without loss of precision, and thereby provides a more useful estimate of retail beef keeping quality.
Kinetics and product study of the self-reactions of allyl and allyl peroxy radicals at 296 K

The laser flash photolysis technique, coupled with UV absorption spectroscopy, has been used to investigate the UV spectra and kinetics of reactions of the allyl radical (CH2CHCH2) and the allyl peroxy radical (CH2CHCH2O2) at 296 K and total pressures near atmospheric. CH2CHCH2 radicals were generated by the 193 nm photolysis of hexa-1,5-diene–N2 mixtures, or the 248 nm photolysis of allyl iodide–N2 mixtures. The 193 nm photolysis of hexa-1,5-diene–O2–N2 mixtures was used to generate CH2CHCH2O2. The low resolution spectrum of CH2CHCH2 was characterised in the range 210–232.5 nm. The absolute absorption cross-section near the maximum, σ(220 nm)=(5.8 ± 0.8)× 10–17 cm2 molecule–1, calibrated relative to the loss of allyl iodide, is in good agreement with the single published determination. The observed time dependence of CH2CHCH2 in the various chemical systems allowed measurement of rate coefficients for the following reactions 2CH2CHCH2(+M)→ CH2CHCH2CH2CHCH2(+M)(10), CH2CHCH2+ l (+M)→ CH2CHCH2l (+M)(12), CH2CHCH2+ O2(+M)→ CH2CHCH2O2(+M)(7) The parameters obtained were k10=(3.0 ± 0.5)× 10–11, k12=(1.6 ± 0.6)× 10–10, and k7=(6 ± 2)× 10–13 cm3 molecule–1 s–1.The UV absorption spectrum of CH2CHCH2O2, characterised in the wavelength range 210–300 nm, is typical of an organic peroxy radical, with a peak cross-section of (6.2 ± 0.9)× 10–18 cm2 molecule–1 at 235 nm. CH2CHCH2O2 displayed second-order kinetic behaviour indicative of its removal via the self-reaction: 2CH2CHCH2O2→ 2CH2CHCH2O + O2(13a), → CH2CHCHO + CH2CHCH2OH + O2(13b) The observed rate coefficient, k13obs=(1.1 ± 0.2)× 10–12 cm3 molecule–1 s–1, is greater than the elementary coefficient, k13, owing to secondary removal of CH2CHCH2O2. The observed and elementary coefficients are related by the expression k13obs=(1 +α13)k13, where α13=k13a/k13. Associated long pathlength Fourier transform infrared (FTIR) measurements of the products of the 253.7 nm initiated photo-oxidation of allyl iodide, allowed the product channels of reaction (13) to be identified and quantified, and a value of α13= 0.61 ± 0.07 was determined, leading to k13=(6.8 ± 1.3)× 103 cm–13 molecule–1 s–1.The kinetic and mechanistic data obtained for CH2CHCH2O2, and those measured previously in this laboratory for HOCH2CH2O2, are used to infer average rate coefficients for peroxy radicals (RO2) formed in the OH-initiated oxidation of isoprene. A simple box model of the planetary boundary layer is used to demonstrate the potential impact of elevated concentrations of isoprene on ambient levels of OH, HO2, RO2, O3 and NOx.
Distributed consensus control for networked linear agents via event‐triggered communications

This paper deals with the distributed consensus of networked linear agents via event‐driven communications by exploring relative‐state and relative‐output feedbacks. First, an alternative event‐triggered consensus design is proposed, consisting of a distributed controller with the relative‐state feedback and an event‐based communication policy, both of which can avoid employing the eigenvalues of the Laplacian matrix. Under the proposed scheme, it is proved that the residual consensus error is bounded, which is dependent on the agent number, the deviation constant in the threshold function, and the associated algebraic Riccati equation. Next, the design is extended to the case of the output event‐driven consensus control by using local observers.
Intra‐Annual and Interannual Dynamics of Evaporation Over Western Lake Erie

Evaporation (E) is a critical component of the water and energy budget in lake systems yet is challenging to quantify directly and continuously. We examined the magnitude and changes of E and its drivers over Lake Erie—the shallowest and most southern lake of the Laurentian Great Lakes. We deployed two eddy‐covariance tower sites in the western Lake Erie Basin—one located nearshore (CB) and one offshore (LI)—from September 2011 through May 2016. Monthly E varied from 5 to 120 mm, with maximum E occurring in August–October. The annual E was 635 ± 42 (±SD) mm at CB and 604 ± 32 mm at LI. Mean winter (October–March) E was 189 ± 61 mm at CB and 178 ± 25 mm at LI, accounting for 29.8% and 29.4% of annual E. Mean daily E was 1.8 mm during the coldest month (January) and 7.4 mm in the warmest month (July). Monthly E exhibited a strong positive linear relationship to the product of wind speed and vapor pressure deficit. Pronounced seasonal patterns in surface energy fluxes were observed with a 2‐month lag in E from Rn, due to the lake's heat storage. This lag was shorter than reports regarding other Great Lakes. Difference in E between the offshore and nearshore sites reflected within‐lake spatial heterogeneity, likely attributable to climatic and bathymetric differences between them. These findings suggest that predictive models need to consider lake‐specific heat storage and spatial heterogeneity in order to accurately simulate lake E and its seasonal dynamics.