Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of Work-Related Risk Factors among Bus Drivers Using Machine Learning

A recent development in ergonomics research is using machine learning techniques for risk assessment and injury prevention. Bus drivers are more likely than other workers to suffer musculoskeletal diseases because of the nature of their jobs and their working conditions (WMSDs). The basic idea of this study is to forecast important work-related risk variables linked to WMSDs in bus drivers using machine learning approaches. A total of 400 full-time male bus drivers from the east and west zone depots of Bengaluru Metropolitan Transport Corporation (BMTC), which is based in Bengaluru, south India, took part in this study. In total, 92.5% of participants responded to the questionnaire. The Modified Nordic Musculoskeletal Questionnaire was used to gather data on symptoms of WMSD during the past 12 months (MNMQ). Machine learning techniques including decision tree, random forest, and naïve Bayes were used to forecast the important risk factors related to WMSDs. It was discovered that WMSDs and work-related characteristics were statistically significant. In total, 66.75% of subjects reported having WMSDs. Various classifiers were used to derive the simulation results for the frequency of pain in the musculoskeletal systems throughout the last 12 months with the important risk variables. With 100% accuracy, decision tree and random forest algorithms produce the same results. Naïve Bayes yields 93.28% accuracy. In this study, through a questionnaire survey and data analysis, several health and work-related risk factors were identified among the bus drivers. Risk factors such as involvement in physical activities, frequent posture change, exposure to vibration, egress ingress, on-duty breaks, and seat adaptability issues have the highest influence on the frequency of pain due to WMSDs among bus drivers. From this study, it is recommended that drivers get involved in physical activities, adopt a healthy lifestyle, and maintain proper posture while driving. For any transport organization/company, it is recommended to design driver cabins ergonomically to mitigate the WMSDs among bus drivers.
Serum TSH Level as a Simple Efficient Tool to Assess the Risk of Thyroid Malignancy in Euthyroid Patients with Indeterminate Cytology - A Cohort Study

Context: A significant number of fine-needle aspiration cytology (FNAC) for thyroid nodules is reported as indeterminate. Expensive molecular testing can give a clue to the possibility of malignancy in this group. The effectiveness of serum thyroid-stimulating hormone (TSH) levels as a diagnostic tool in euthyroid patients with indeterminate cytology has not been previously studied, especially in the Indian population. Aims: This study was conducted to evaluate the predictive efficacy of serum TSH in the early diagnosis and treatment of malignancy. Settings and Design: This is a retrospective cross-sectional study on a cohort of patients who presented to our department with complaints of thyroid swelling and underwent thyroidectomy. Methods and Material: Euthyroid patients who underwent thyroid surgery for newly diagnosed thyroid nodules with FNAC reported as indeterminate cytology were included in our study. Based on the histopathological report, the patients were divided into two groups and into quartiles based on TSH values. Statistical Analysis Used: The mean difference in the numerical variables between groups was compared using the independent two-sample 't' test for parametric data and Mann–Whitney 'u' test for non-parametric data. A logistic regression analysis was done with age, sex, TSH level and nodule size as dependant variables and malignancy as the independent variable. Results: There were 211 patients in group A and 93 in group B. Patients with malignancy confirmed on final histopathology showed higher serum TSH levels compared to benign nodules (2.93 ± 1.067 vs 1.73 ± 1.051, P = <0.001). The mean TSH levels of all types of malignant nodules correlated with our test model (>2.185 mIU/L). Conclusions: Serum TSH above 2.185 mIU/mL is a good predictor of malignancy in indeterminate nodules. It is an inexpensive, safe and reliable diagnostic screening test for the risk of malignancy in an indeterminate nodule.
Methyltransferase 3A-mediated promoter methylation represses retinoic acid receptor responder 3 expression in basal-like breast cancer

Retinoic acid receptor responder 3 (RARRES3) has been characterized as a tumor suppressor in multiple types of cancer. This study aimed to examine the expression profile of RARRES3 across the PAM50 subtypes of breast cancer. The DNA methylation status of RARRES3 was checked in the basal-like subtype, and the underlying mechanisms of its dysregulation were explored. RNA-sequencing (seq) and methylation data from The Cancer Genome Atlas were used for in-silico analysis. Basal-like representative SUM149 andMDA-MB-468 cell lines were used for in vitro and in vivo studies. Compared to tumor-adjacent normal tissues, only the basal-like tumor tissues had significantly downregulated RARRES3 expression. The methylation level of four CpG sites in the promoter region showed a strong negative correlation with RARRES3 expression. The gene coding for DNA methyltransferase 3A (DNMT3A) had consistent positive correlations with the methylation of the CpG sites. Chromatin Immunoprecipitation-quantitative polymerase chain-reaction and bisulfite sequencing PCR showed that DNMT3A could bind to the promoter region of RARRES3 and promote methylation of the CpG sites within the region. DNMT3A knockdown significantly restored RARRES3 expression at the mRNA and protein level in the two cell lines. CCK-8, colony formation, and flow cytometric analysis showed that RARRES3 overexpression attenuated the growth-promoting effects of DNMT3A overexpression and also weakened the DNMT3A overexpression-induced activation of ERK1/2 and PI3K/AKT signaling. In summary, this study revealed that DNMT3A enhances promoter methylation of the RARRES3 gene and suppresses its transcription in basal-like breast cancer. The DNMT3A-RARRES3 signaling pathway might be a potential target for the treatment of this tumor subtype.
High-speed Fourier-domain optical coherence tomography using a chirped supercontinuum pulse source

We have demonstrated a Fourier-domain optical coherence tomography (FD-OCT) scheme with a high-speed frequency-swept light source based on a chirped supercontinuum pulse. Instead of using a swept laser, an ultra-wideband supercontinuum pulse was chirped or stretched in the time domain by using a long dispersive single-mode optical fiber by the help of the group velocity dispersion. The chirped pulse was used directly as frequency-swept light for OCT after measuring the relationship between the time delay and the wavelength. Very high acquisition speeds up to 5-MHz in A-line scan rate were achieved because there is no speed-limiting moving part in this scheme. And high resolution up to 3.6 &mgr;m in air was enabled owing to the use of wideband supercontinuum. It was shown that the scheme does not require re-calibration of the sweep characteristics because the sweeping mechanism is passive and stable.
Rolling Bearing Fault Diagnosis Using Hybrid Neural Network with Principal Component Analysis

With the rapid development of fault prognostics and health management (PHM) technology, more and more deep learning algorithms have been applied to the intelligent fault diagnosis of rolling bearings, and although all of them can achieve over 90% diagnostic accuracy, the generality and robustness of the models cannot be truly verified under complex extreme variable loading conditions. In this study, an end-to-end rolling bearing fault diagnosis model of a hybrid deep neural network with principal component analysis is proposed. Firstly, in order to reduce the complexity of deep learning computation, data pre-processing is performed by principal component analysis (PCA) with feature dimensionality reduction. The preprocessed data is imported into the hybrid deep learning model. The first layer of the model uses a CNN algorithm for denoising and simple feature extraction, the second layer makes use of bi-directional long and short memory (BiLSTM) for greater in-depth extraction of the data with time series features, and the last layer uses an attention mechanism for optimal weight assignment, which can further improve the diagnostic precision. The test accuracy of this model is fully comparable to existing deep learning fault diagnosis models, especially under low load; the test accuracy is 100% at constant load and nearly 90% for variable load, and the test accuracy is 72.8% at extreme variable load (2.205 N·m/s–0.735 N·m/s and 0.735 N·m/s–2.205 N·m/s), which are the worst possible load conditions. The experimental results fully prove that the model has reliable robustness and generality.
Fourier-transform rheology under medium amplitude oscillatory shear for linear and branched polymer melts

Nonlinear response of linear and branched polymers has been investigated under medium strain amplitude oscillatory shear (strain amplitude range from 10% to 100%) with Fourier-transform rheology. A power law relationship was found between the relative third intensity (I3∕I1), which is an indicator of nonlinearity, and the strain amplitude at low and medium strain amplitudes. On a log-log plot, the intercept and slope of I3∕I1 were investigated at different excitation frequencies and temperatures. Simulation results with three different constitutive equations [Giesekus, exponential Phan-Thien Tanner (E-PTT), pom-pom model] were also compared. Experimental results show that the intercept was affected by the excitation frequency and temperature, and the slope of I3∕I1 for linear polymer remained constant regardless of molecular weight, molecular weight distribution, and excitation frequency in accordance with the predictions of the constitutive equations (Giesekus and E-PTT). It should be noted that the slop.
De Sitter vacua in string theory

We outline the construction of metastable de Sitter vacua of type IIB string theory. Our starting point is highly warped IIB compactifications with nontrivial NS and RR three-form fluxes. By incorporating known corrections to the superpotential from Euclidean D-brane instantons or gaugino condensation, one can make models with all moduli fixed, yielding a supersymmetric AdS vacuum. Inclusion of a small number of {ovr D3} branes in the resulting warped geometry allows one to uplift the AdS minimum and make it a metastable de Sitter ground state. The lifetime of our metastable de Sitter vacua is much greater than the cosmological timescale of 10{sup 10} years. We also prove, under certain conditions, that the lifetime of dS space in string theory will always be shorter than the recurrence time.
DNA barcoding of Macrocephalon maleo originating from Sulawesi, Indonesia

Abstract. Samad A, Solihin DD, Sumantri C, Purwantara B. 2022. DNA barcoding of Macrocephalon maleo originating from Sulawesi, Indonesia. Biodiversitas 23: 4400-4408. Conservation of Maleo Senkawor (Macrocephalon maleo Sal. Muller, 1846) continues to be carried out to sustain this bird species. The genetic information from this study can be used to support future conservation activities. This study aimed to provide information on the genetic characteristics of the endangered Maleo Senkawor based on the partial sequence of the Cytochrome Oxidase 1 (COI) gene in mitochondrial DNA. Samples were collected from Central Sulawesi, Southeast Sulawesi, and North Sulawesi. Total DNA isolation was performed using the Dneasy® Blood and Tissue kit through a modified Qiagen protocol. PCR amplification used a forward primer MMCOI_F (5'-ccgatgattattctcaacca-3') and a reverse primer MMCOI_R (5'- gtagccgaatggttcttttt-3'). Analysis was performed on the partial sequences of the M. maleo COI mtDNA gene and its amino acid sequences. The genetic distance between the M. maleo population from North Sulawesi, Southeast and Central Sulawesi is 0.001 (0.1%). Macrocephalon maleo population of Southeast and Central Sulawesi have 0% genetic distance. Analysis of the COI M. maleo gene from 3 population locations showed that they came from the same species. Based on the genetic distance of the Kimura model with 2 parameters in the 3 populations, the M. maleo formed the same group (ingroup species) but had a different haplotype. These differences can be used as characterizing markers in each population. Furthermore, the conservation of M. maleo from these 3 populations was better treated as a separate group based on the mitochondrial DNA COI gene to avoid the negative impact of interpopulation breeding.
Ab initio
 electronic structure of metallized 
NiS2
 in the noncollinear magnetic phase

We investigate the electronic structure of the archetypical Mott insulator NiS 2 by means of density functional theory calculations in which we explicitly account for the noncollinear antiferromagnetic order, as recently established in the isoelectronic analog Ni(S , Se) 2 . For metallic NiS 2 under high pressures, our calculations predict a Fermi surface topology and volume which are in excellent agreement with recent quantum oscillation studies. However, we ﬁnd that density functional theory wrongly predicts a metallic ground state even at ambient pressures, similar to previous nonmagnetic or collinear antiferromagnetic models. By including a Hubbard interaction U and an on-site exchange interaction J , the metallic phase is suppressed, but even such an extended model fails to describe the nature of the metal-to-insulating phase transition and describes the insulating phase itself incorrectly. These results highlight the importance of more sophisticated computational approaches even deep in the insulating phase, far away from the Mott insulating phase transition.
Capture of free-floating planets by planetary systems

Evidence of exoplanets with orbits that are misaligned with the spin of the host star may suggest that not all bound planets were born in the protoplanetary disk of their current planetary system. Observations have shown that free-floating Jupiter-mass objects can exceed the number of stars in our galaxy, implying that capture scenarios may not be so rare. To address this issue, we construct a three-dimensional simulation of a three-body scattering between a free-floating planet and a star accompanied by a Jupiter-mass bound planet. We distinguish between three different possible scattering outcomes, where the free-floating planet may get captured after the interaction with the binary, remain unbound, or "kick-out" the bound planet and replace it. The simulation was performed for different masses of the free-floating planets and stars, as well as different impact parameters, inclination angles and approach velocities. The outcome statistics are used to construct an analytical approximation of the cross section for capturing a free-floating planet by fitting their dependence on the tested variables. The analytically approximated cross section is used to predict the capture rate for these kinds of objects, and to estimate that about 1\% of all stars are expected to experience a temporary capture of a free-floating planet during their lifetime. Finally, we propose additional physical processes that may increase the capture statistics and whose contribution should be considered in future simulations.
Strong Dynamical Effects of Many-Electron Interactions in Photoelectron Spectra from 4s and 4p Core Levels

Dipolar fluctuations of 4s and 4p holes in the elements around Xe have been found to make a one-electron type of picture break down. This explains the failure of monopole relaxation, as included e.g. through the relativistic Hartree-Fock ΔSCF procedure, and shake off processes to describe ESCA spectra in this energy region. In Xe we find that neither a 4p1/2 nor a 4p3/2 hole can exist as an elementary excitation (quasi-stationary state) but become smeared over a large energy range. Instead, the most stable and probable state is found to belong to the Xe+(4d84f)3/2 configuration and we identify this with the main ESCA peak at 145.5 eV. We also present a photo-electron spectrum for the 4s and "4p" region in quite good agreement with experiment.
A Fringe Signal Processing Method for an Absolute Gravimeter

The following is a description of a precise fringe signal processing method for measuring the acceleration due to the Earth's gravity which we have developed at the International Latitude Observatory of Mizusawa. The frequency of the interference fringe signal is proportional to the falling object's velocity. We measure the fringe phase, the fractional part of the fringe number, rather than the fringe number itself, at constant time intervals. Since the fringes need not be counted, and the fringe detection system is simple, the method offers substantial advantages for vibration compensation and data reduction.
Phase transitions and correlations in the bosonic pair contact process with diffusion: exact results

The variance of the local density of the pair contact process with diffusion is investigated in a bosonic description. At the critical point of the absorbing phase transition (where the average particle number remains constant) it is shown that for a lattice dimension d > 2 the variance exhibits a phase transition: for high enough diffusion constants, it asymptotically approaches a finite value, while for low diffusion constants the variance diverges exponentially in time. This behaviour also appears in the density correlation function, implying that the correlation time is negative. Yet one has dynamical scaling with a dynamical exponent calculated to be z = 2.
Star-forming galaxies at low-redshift in the SHARDS survey

Context. The physical processes driving the evolution of star formation (SF) in galaxies over cosmic time still present many open questions. Recent galaxy surveys allow now to study these processes in great detail at intermediate redshift (0 ≤ z ≤ 0.5). Aims. We build a complete sample of star-forming galaxies and analyze their properties, reaching systems with low stellar masses and low star formation rates (SFRs) at intermediate-to-low redshift. Methods. We use data from the SHARDS multiband survey in the GOODS-North field. Its depth (up to magnitude ⟨m3σ⟩~ 26.5) and its spectro-photometric resolution (R ~ 50) provides us with an ideal dataset to search for emission line galaxies (ELGs). We develop a new algorithm to identify low-redshift (z < 0.36) ELGs by detecting the [OIII]5007 and Hα emission lines simultaneously. We fit the spectral energy distribution (SED) of the selected sample, using a model with two single stellar populations. Results. We find 160 star-forming galaxies for which we derive equivalent widths (EWs) and absolute fluxes of both emission lines. We detect EWs as low as 12 Å, with median values for the sample of ~35 Å in [OIII]5007 and ~56 Å in Hα, respectively. Results from the SED fitting show a young stellar population with low median metallicity (36% of the solar value) and extinction (AV ~ 0.37), with median galaxy stellar mass ~108.5 M⊙. Gas-phase metallicities measured from available spectra are also low. ELGs in our sample present bluer colours in the UVJ plane than the median colour-selected star-forming galaxy in SHARDS. We suggest a new V-J colour criterion to separate ELGs from non-ELGs in blue galaxy samples. In addition, several galaxies present high densities of O-type stars, possibly producing galactic superwinds, which makes them interesting targets for follow-up spectroscopy. Conclusions. We have demonstrated the efficiency of SHARDS in detecting low-mass ELGs (~2 magnitudes deeper than previous spectroscopic surveys in the same field). The selected sample accounts for 20% of the global galaxy population at this redshift and luminosity, and is characterized by young SF bursts with sub-solar metallicities and low extinction. However, robust fits to the full SEDs can only be obtained including an old stellar population, suggesting the young component is built up by a recent burst of SF in an otherwise old galaxy.
On the Effects of Moisture on the Brunt-Väisälä Frequency.

Abstract Expressions are derived for the Brunt- Vaisala frequency Nm, in a saturated atmosphere, which are analogous to commonly-used formulas for the dry Brunt- Vaisala frequency. These formulas are compared with others which have appeared in the literature, and the derivation by Lalas and Einaudi (1974) is found to be correct. The simplifying assumptions, implicit in derivations by Dudis (1972) and Fraser et al. (1973) are clarified. Numerical examples are presented which suggest that these incomplete formulations for Nm are reasonably accurate approximations, except when the saturated static stability is small. A new formula expressing Nm in terms of moist conservative variables is presented, and an accurate approximation is also given which may be useful when evaluating Nm.
Amphotericin B- and Levofloxacin-Loaded Chitosan Films for Potential Use in Antimicrobial Wound Dressings: Analytical Method Development and Its Application

Levofloxacin (LVX) and amphotericin B (AMB) have been widely used to treat bacterial and fungal infections in the clinic. Herein, we report, for the first time, chitosan films loaded with AMB and LVX as wound dressings to combat antimicrobial infections. Additionally, we developed and validated a high-performance liquid chromatography (HPLC) method coupled with a UV detector to simultaneously quantify both AMB and LVX. The method is easy, precise, accurate and linear for both drugs at a concentration range of 0.7–5 µg/mL. The validated method was used to analyse the drug release, ex vivo deposition and permeation from the chitosan films. LVX was released completely from the chitosan film after a week, while approximately 60% of the AMB was released. Ex vivo deposition study revealed that, after 24-hour application, 20.96 ± 13.54 µg of LVX and approximately 0.35 ± 0.04 µg of AMB was deposited in porcine skin. Approximately 0.58 ± 0.16 µg of LVX permeated through the skin. AMB was undetectable in the receptor compartment due to its poor solubility and permeability. Furthermore, chitosan films loaded with AMB and LVX were found to be able to inhibit the growth of both Candida albicans and Staphylococcus aureus, indicating their potential for antimicrobial applications.
Quantum authentication of classical messages

Although key distribution is arguably the most studied context on which to apply quantum cryptographic techniques, message authentication, i.e., certifying the identity of the message originator and the integrity of the message sent, can also benefit from the use of quantum resources. Classically, message authentication can be performed by techniques based on hash functions. However, the security of the resulting protocols depends on the selection of appropriate hash functions, and on the use of long authentication keys. In this paper, we e propose a quantum authentication procedure that, making use of just one qubit as the authentication key, allows the authentication of binary classical messages in a secure manner.
A direct approach for interfacing four-wire resistive sensors to microcontrollers

In the field of direct sensor-to-microcontroller interface circuits, a novel proposal for four-wire connected resistive sensors is suggested and experimentally tested herein. The circuit relies on measuring six discharging times corresponding to six RC circuits, which include the sensor resistance and the parasitic resistance of the wires. The circuit has been applied to measure resistors emulating a Pt100 thermal sensor with different values of wire resistance. Experimental results show that the accuracy and linearity of the proposed circuit is not deteriorated while increasing the wire resistance, either by the mismatch between the wire resistances. The error, with respect to the case with null wire resistances, is lower than 45 mΩ, while the non-linearity error is lower than 0.05% full-scale span in the worst scenario under test.