Miracle-dz/UniFAR-FTUs huggingface dataset:
A Pedestrian Network Construction System Based on Crowdsourced Walking Trajectories

With the promotion of low-carbon travel, pedestrian network plays an important role in many location-based applications, such as pedestrian navigation and refined traffic management. Due to the lack of systematic data acquisition mechanics, the accuracies and detail levels of pedestrian network data are hardly capable of satisfying the demands of such transportation applications. Presently, various mobile phone apps recorded and stored users’ movement trajectories, which provide a valuable data source for pedestrian network construction. Hence, this article proposes a crowdsourcing-based system for generating pedestrian network that encompasses three key components of crowdsourced walking trajectory data filtering, pedestrian network construction and evaluation of pedestrian network. Self-collected data and open platform data were used to evaluate the proposed system. Experimental results demonstrate that the proposed method can accurately and completely extract pedestrian network. Moreover, the pedestrian network can be updated in a timely manner by the proposed method. The data collection application and the collected data are available to the public.
Relationship between occlusal support zones and temporomandibular disorders in the elderly population

This study aims to analyze the relationship between loss of occlusal support zones (OSZs) and temporomandibular disorders (TMDs) and also among sociodemographic factors (gender, education level, and economic status) in an elderly population. This cross-sectional study included 100 elderly patients aged >60 years with complete dentition or loss of teeth without being replaced by dentures at Kramat Jati Health Center and Dental Hospital Faculty of Dentistry, Universitas Indonesia. Subjects were screened to collect OSZ data based on the Eichner index and interviewed using the Temporomandibular Disorder-Diagnostic Index (TMD-DI) questionnaire. No association was observed between OSZs and TMDs in the elderly people. However, there was an increase in the number of subjects experiencing TMDs as the OSZs decreased. The analysis test between OSZs and sociodemographic factors did not result in a significant difference, including the comparison between TMDs and gender and education level. However, there was a significant difference between TMDs and economic status. The loss of OSZs could increase the risk of TMDs among the elderly population at Kramat Jati Health Center and Dental Hospital Faculty of Dentistry of Universitas Indonesia, whereas sociodemographic factors appeared to have little impact on OSZs and TMDs. Clinical article (J Int Dent Med Res 2020; 13(3): 1041-1046)
Arsenic Removal from Drinking Water during Coagulation

The efficiency of arsenic removal from source waters and artificial freshwaters during coagulation with ferric chloride and alum was examined in bench-scale studies. Arsenic(V) removal by either ferric chloride or alum was relatively insensitive to variations in source water composition below pH 8. At pH 8 and 9, the efficiency of arsenic(V) removal by ferric chloride was decreased in the presence of natural organic matter. The pH range for arsenic(V) removal with alum was more restricted than with ferric chloride. For source waters spiked with 20 μg/L arsenic(V), final dissolved arsenic(V) concentrations in the product water of less than 2 μg/L were achieved with both coagulants at neutral pH. Removal of arsenic(III) from source waters by ferric chloride was both less efficient and more strongly influenced by source water composition than removal of arsenic(V). The presence of sulfate (at pH 4 and 5) and natural organic matter (at pH 4 through 9) adversely affected the efficiency of arsenic(III) removal by ferric chloride. Arsenic(III) could not be removed from source waters by coagulation with alum.
EFFECTS OF NANO-POTASSIUM FERTILIZER ON AMINO ACID COMPONENTS AND GLN FAMILY GENE EXPRESSION IN CHINESE CABBAGE

This study was conducted to investigate the effects of nano potassium silicate on amino acid components and family gene expression of nitrogen metabolism-related glutamine synthetase (GS) in Chinese cabbage (Brassica rapa L. ssp. pekinensis). With ordinary potassium silicate (OKSi) and nano potassium silicate (NKSi) as different potassium fertilizers, the experiment set four potassium levels (K2O) of 0 (CK), 150, 300 and 450 kg·hm-2, respectively. Field experiments were adopted to investigate the effects of different forms and levels of potassium on the amino acid content of Chinese cabbage and GLN family gene expression in roots, stems and leaves. The total amount of essential amino acids was the highest in NKSi-300 treatment, which was 41.1% higher than that in the control (CK). In the stem of Chinese cabbage, the relative expression of GLN1.2, GLN1.3, GLN1.4 and GLN2 was up by 7.85, 3.46, 45.6 and 50.7 times compared with CK under NKSi-300 treatment. In Chinese cabbage leaves, GLN1.1, GLN1.2 and GLN1.3 had the highest relative expressions under NKSi-150 treatment, which were up by 1.984, 1.235 and 1.617 times, respectively compared to CK. GLN family gene expression was significantly or extremely significantly correlated with histidine, glycine, methionine, tyrosine and cysteine contents in the stem of Chinese cabbage.
Nonadherence to treatment recommendations is a factor contributing to the clinical failure of daptomycin: Cohort study in Brazil

To evaluate the clinical outcomes of daptomycin therapy and adherence to treatment recommendations, a retrospective cohort study was conducted with patients that received daptomycin during the period of the study. The adherence and nonadherence to clinical guidelines were assessed through organism identification, dose and time of treatment, management of bacteremia, and vancomycin treatment failure. A multiple logistic regression model analyzed the association between independent variables and clinical success (dependent variable), considering 5% of statistical significance. The study presented 52 patients who received daptomycin for the treatment of bacteremia (21.1%) or infections (osteomyelitis [63.5%], synovial fluid [15.4%]). Most patients (86.5%) received daptomycin as the second line of treatment, and 51.9% achieved clinical success. The patients had a better chance of clinical success when they followed the guideline indications (OR = 16.86; 95% CI = 1.45-195.88) and the medication was prescribed by a specialist in infectious diseases (OR = 4.84; 95% CI = 1.1121.09). The study demonstrated lower clinical success than that described in the literature because of patients who were not eligible according to the clinical guidelines. Adherence to recommendations and appropriate prescription of reserve antibiotics is important in limiting early resistance, and avoiding clinical failure and unnecessary expenditure.
Density Functional Computational Thermochemistry: Isomerization of Sulfine and Its Enthalpy of Formation

Density functional (DFT), second-order perturbation theory (MP2), and coupled-cluster [(CCSD(T)] calculations using Pople's basis sets up to 6-311++G(3df,2pd) and Dunning's correlation consistent basis sets have been employed to determine the enthalpy of formation of sulfine, CH2SO, 1, using the isodesmic reaction CH2S + SO2 ⇌ CH2SO + SO. Previous calculations showed an inconsistency between the enthalpy of formation obtained using this methodology, ΔfHo298. 15(1) = −52 ± 10 kJ/mol, and the value obtained employing the isomerization reaction CH2SO (1) ⇌ HC(O)SH (2) if Benson's estimate for the enthalpy of formation of isomer 2 (thioformic acid) was employed. This result was particularly vexing, since the computed enthalpy of formation of 1 was reasonably in agreement with Benson's own estimate. In this paper we extended our previous study using the reactions HC(O)−XH + RH ⇌ H2CO + R−XH with R = H, Me, Et, Pr, and i-Pr. X was either sulfur, to obtain the enthalpy of formation of 2, or oxygen, to assess the .
Supramolecular Structure of Liquid-Crystalline Polyesters in Triclinic Cell

We have analyzed the phase behavior of a series of liquid-crystalline polyesters bearing the n-alkoxy pendant group. For n ) 1-4, this class of polymers shows a crystalline phase, called phase I, with a layered molecular packing and two chains per unit cell. For n > 4, a new molecular packing is observed. The new phase, called phase II, is characterized by the supramolecular assembly of 10-12 chains, each structurally independent of the others. This assembly is located in a large triclinic cell: in the case of P(5), the cell parameters are a ) 18.67 A, b ) 17.54 A, c ) 21.23 A, R) 111.1°, ‚ ) 81.7°, and A ) 105.5°, with 10 chains per unit cell (dcalcd ) 1.23 g cm-3). The molecular packing of phase II is well- described in terms of a "fracture" of the layered molecular structure of phase I. This fracture is restored when samples are dipped into chlorinate solvents. The reason the packing fracture of phase I occurs is not clear: we believe that a complex balance between "packing incompatibility" of rigid chains and flexible side groups might be responsible for this phenomenon.
First Principles Calculations of Vibrational Free Energy Estimated by the Quasi-Harmonic Approximation

The quasi-harmonic approximation is a powerful tool for predicting the vibrational free energy using the first principles calculations. This method with the phonon density of states shows reliable estimation of the thermal expansion and the relative stabilities of SiC polytypes. For the binary systems, we derived a cancelling condition of the vibrational free energy change due to the phase separations within the first order approximation in terms of the nearest bond pair interaction.
Employee Performance and Employee Engagement Towards Job Satisfaction

The progress of a company can be influenced by many factors, one of which is employee performance. Employee performance, as part of management, is associated with employee engagement in the company needs to get attention because it relates to employee job satisfaction. Job satisfaction is another factor that needs attention because job satisfaction can encourage employees to improve their performance. The relationship between the three research variables is interesting to study because it has a very related relationship to company performance. The purpose of the study is to determine the relationship between employee performance and employee engagement on job satisfaction. The research method used is quantitative, and data collection methods using a questionnaire of employee performance and engagement. The number of samples used in the study was 171 employees who had worked for at least one year. The results showed that the engagement of employees in the company has a positive relationship, which means that the better the engagement of employees in the company, the better the job satisfaction of employees. The conclusion from the results of the study is the performance and engagement of employees must walk together and support each other to get good
Insight into spent caustic treatment: on wet oxidation of thiosulfate to sulfate

Oxidation of thiosulfate to sulfate is often the rate controlling step during wet air oxidation (WAO) of spent caustic from the refinery and petrochemical industry and exhibits high Biological Oxygen Demand (BOD) and Chemical Oxygen Demand (COD). The kinetics of WAO of thiosulfate was studied in the absence and presence of a heterogeneous copper catalyst. Wet oxidation of thiosulfate to sulfate is a free radical reaction exhibiting an induction period. In non-catalytic oxidation, almost complete conversion of thiosulfate to sulfate was observed in 12 min at 150 °C and in 8 min at 120 °C in the presence of a heterogeneous copper catalyst at 0.69 MPa oxygen partial pressure. The presence of phenol accelerated thiosulfate oxidation. © 1999 Society of Chemical Industry
Femtochemistry of the Hydrated Electron at Decimolar Concentration

We report a femtosecond laser study of the transient absorption of hydrated electrons generated by 266 nm two-photon ionization of liquid water under very high power laser density (up to 1.5 TW/cm2). The two-photon absorption coefficient of liquid water for femtosecond pulses at 266 nm was determined to be β = (1.8 ± 0.4) × 10-11m/W. The quantum yield of formation of the hydrated electron per absorbed photon at 266 nm is determined to be 0.26 ± 0.02. We observed, for the first time, that the decay of the hydrated electron produced under 1.5 TW/cm2 laser pump power density in pure water is not only due to geminate recombination and that the survival probability of the hydrated electron at 1 ns is 0.16 ± 0.02 under those conditions, where an unprecedented local concentration of the hydrated electron of 0.15 M is produced.
Fully biodegradable modification of wood for improvement of dimensional stability and water absorption properties by poly(ε-caprolactone) grafting into the cell walls

Materials derived from renewable resources are highly desirable in view of more sustainable manufacturing. Among the available natural materials, wood is one of the key candidates, because of its excellent mechanical properties. However, wood and wood-based materials in engineering applications suffer from various restraints, such as dimensional instability upon humidity changes. Several wood modification treatments increase water repellence, but the insertion of hydrophobic polymers can result in a composite material which cannot be considered as renewable anymore. In this study, we report on the grafting of the fully biodegradable poly(e-caprolactone) (PCL) inside the wood cell walls by Sn(Oct)2 catalysed ring-opening polymerization (ROP). The presence of polyester chains within the wood cell wall structure is monitored by confocal Raman imaging and spectroscopy as well as scanning electron microscopy. Physical tests reveal that the modified wood is more hydrophobic due to the bulking of the cell wall structure with the polyester chains, which results in a novel fully biodegradable wood material with improved dimensional stability.
Bornavirus Antigens in Psittaciformes Infected with Psittaciform Bornavirus and their Use in Diagnostic Procedures

This study describes the occurrence of psittaciform bornavirus antigens and antibodies in tissues of birds persistently infected with psittaciform bornavirus. Analysis of serum of infected birds shows that antibodies against the P40 nucleoprotein occur most commonly, whereas antibodies to the glycoprotein are virtually completely absent. Classical Western blotting using rabbit antibodies showed that the P40 nucleoprotein is the only antigen which can be reliably detected in tissues as diverse as brain, liver, feather calami and material such as cloacal swabs. The sensitivity of the latter approach is about 1 µg. Using automated Western blotting (ProteinSimple, WES) improved this sensitivity to about 200 pg. Rabbit antibodies against the P24 phosphoprotein detect a cross-reacting protein of the same molecular size in a classical Western blot of tissue homogenates of uninfected birds. Rabbit antibodies against the P16 matrix protein do not detect the protein in a Western blot, classical or automated, possibly through shielding by other components in the tissue homogenates or prevention of the transfer of the protein from the gel to the PDVF membrane during the blotting, although such antibodies can be used as detection antibodies in a sandwich ELISA analysis where the capture antibodies are of avian origin. The latter approach allows the detection of the P24 phosphoprotein and the P16 matrix protein in feather calami and cloacal swabs at a sensitivity of approximately 200 pg.
Physical and mechanical behavior of glulam beams produced with rubberwood treated with preservatives

ABSTRACT This work aimed to evaluate the physical and mechanical behavior of glued laminated timber (GLT) - glulam pieces of Hevea brasiliensis treated with chromed copper arsenate (CCA), chromed copper borate (CCB) and pyrethroid in the production of GLT. The pieces were produced using three wooden laminae with dimensions of 60 x 20 x 1200 mm, (width x thickness x length), joined with epoxy adhesive under 1.0 MPa pressure for 24h at room temperature. The rubberwood had an apparent density of 0.624 g cm-3, a value close to that of Eucalyptus grandis wood, a species traditionally used in the manufacture of GLT. Regarding the GLT parts, it was observed that the preservative treatment with CCA and CCB influenced negatively the values of the mechanical properties. For resistance modulus (MOR), a reduction of 75.44 MPa to 62.36 and 58.57 MPa was found for the parts untreated and treated with CCA and CCB, respectively. There was no statistical difference for surface treatment with pyrethroid. The photomicrographs of the glue line showed that the reduction in these values was mainly due to the penetration of preservative solutions into the wood structure (cell lumens and vessels or pores), impairing the anchoring of the adhesive.
A Deconvolutional Reconstruction Method Based on Lucy–Richardson Algorithm for Joint Scanning Laser Thermography

Joint scanning laser thermography (JLST) is well-known for its efficiency to overcome the field of view (FOV) limitation of thermal imagers. However, JSLT requires a data reconstruction to reveal the location of the defective area straightforwardly. Moreover, its detection capacity is limited by the lack of a deconvolution algorithm adaptive to the reconstructed data. In this study, a deconvolutional reconstruction method based on the Lucy–Richardson (LR) algorithm has been developed for JST, which is effective in suppressing random noise and the blur effect caused by the thermal diffusion. A JSLT inspection is carried out on a functional coating material with cylinder-like defects to test the performance of the proposed method. In comparison to the directly processed method on the original data, the proposed method is processed on the reconstructed data and then compared with principal component analysis (PCA), restored pseudo heat flux (RPHF), fast Fourier transform (FFT) methods and non-negative matrix factorization (NMF). The experimental results indicated that our proposed LR method exhibited a higher signal-to-noise ratio. Besides, it can detect the cylinder-mocked debonding defects with a diameter of 1.5 mm and a depth of 2.0 mm buried under the 1.0-mm coating. In addition, the defect detection diameter-to-depth ratio reached 1.5, while the defect detection rate of the test specimens can approach 90%.
Analysis of the Smart Player’s Impact on the Success of a Team Empowered with Machine Learning

: The innovation and development in data science have an impact in all trades of life. The commercialization of sport has encouraged players, coaches, and other concerns to use technology to be in better position than r their oppo-nents. In the past, the focus was on improved training techniques for better phy-sical performance. These days, sports analytics identify the patterns in the performance and highlight strengths and weaknesses of potential players. Sports analytics not only predict the performance of players in the near future but it also performs predictive modeling for a particular behavior of a player in the past. The impact of a smart player on the success of a team is always a big question mark before the start of a match. The fans always want to know performance analysis of these superstar players and they always are interested to get to know more about their favorite player and they always have high hopes from their favorite player. Machine learning (ML) based techniques help in predicting the performance of an individual player as well as for the whole team. The statistics are very vital and useful for management, fans, and expert analysis. In our proposed framework, the adaptive back propagation neural network (ABPNN) model is used for the prediction of a player ’ s performance. The data is collected from football websites, and the results are stored in the cloud for fast fetching of data. They can be retrieved anywhere in the world through cloud storage. The results are computed with 94% accuracy and the performance of the smart player is formulated for the success of a team.
A mathematical model for hydrocarbon autoignition at high pressures

We have developed a generalized mathematical model for the autoignition of hydrocarbons under the conditions of high pressure and temperature achieved in a rapid-compression machine. The model is able to simulate the essential phenomena of the two-stage autoignition of alkanes under these conditions; these are a well-defined cool flame that is often quenched rapidly and completely before the onset of a sharp ignition. It also predicts correctly the transition to single-stage autoignition at even higher temperatures and the variation with temperature of the characteristic induction periods. The model is based on a degenerate-branched-chain mechanism. We show that it must contain as necessary features two termination processes, one linear and the other quadratic in radial concentration, and two routes for the formation of branching agent, one of which involves intermediate products of oxidation. The model also predicts, without any adjustment of the kinetic parameters, the essential phenomena of cool-flame and ignition behaviour that are observed at low pressures.
FIB-4 index associated with mortality risk of patients with systemic lupus erythematosus: a large retrospective cohort study

Z. Jin, X. Feng, D. Wang, W. Pan, L. Liu, M. Wu, H. Hu, X. Ding, H. Wei, Y. Zou, X. Qian, M. Wang, J. Wu, J. Tao, J. Tan, Z. Da, M. Zhang, J. Li, L. Sun 2 Arch Med Sci with death from liver failure and indirectly associated with other death from infection and neuropsychiatric impairment. We found no significant differences of areas under curves (AUCs) between FIB-4 index and the disease activity index score of SLE. Conclusions: This is the first report to describe the nonlinear association between FIB-4 index and increased mortality of SLE patients. The FIB-4 index may be used as an independent prognostic indicator for SLE patients.
COPING STRATEGIES POTENTIALLY REDUCE BURNOUT SYNDROME IN ANESTHESIOLOGISTS

Objective: Anesthesiologists are prone to have chronic stress due to their high-pressure job causing mental illness. One of the work-related mental illnesses is burnout syndrome. This study aimed to determine the relation between coping and burnout in anesthesiologists. Methods: A cross-sectional study was conducted in anesthesiology residents at Dr. Moewardi Hospital, Surakarta, Indonesia. A total of 60 participants fulfilled our inclusion criteria. Coping and burnout were assessed by Brief Coping Orientation to Problems Experienced and Maslach Burnout Inventory, respectively. All variables were analyzed using univariate and multivariate linear regressions. Results: Coping was significantly correlated with emotional exhaustion (B = 0.184; p = 0.019). In depersonalization, coping was significantly correlated, both in bivariate (B = 0.182; p = 0.003) and multivariate analyses (B = 0.232; p ≤ 0.001). In bivariate (B = 0.265; p = 0.005) and multivariate analyses (B = 0.246; p = 0.006), coping showed significant results with low personal achievement. Other variables that were significantly correlated with burnout were smoking, working hours, and emotional support. Conclusion: Coping is correlated with burnout in anesthesiologists. Approach coping reduces the incidence of burnout in anesthesiologists. Working hours as a burnout aggravating factor is also significantly correlated with burnout.