Miracle-dz/UniFAR-FTUs huggingface dataset:
Piezoelectric Polyvinylidene Fluoride Nanofibers as a Scaffold used for Bone Tissue Engineering

—The field of bone tissue engineering deals with the issue of developing compatible and non-toxic scaffolds, which provide the growing bone cells with the necessary mechanical support and suitable stimulation for proper growth and proliferation. Polyvinylidene fluoride (PVDF) nanofibers are considered to be a suitable scaffold due to their biocompatibility, fibrous structure, and characteristic piezoelectric properties, which have proven to be an important factor in cell regeneration. For this work, flexible PVDF nanofibers were successfully spun, from which the scaffolding needed for the subsequent settling of cultivated osteoblasts was created. Thereafter the structure and compatibility of this nanomaterial were assessed in relation to the study of cell adhesion to individual nanofibers.
The Pathway Analysis of Tepidimonas taiwanensis LMG 22826T, Polyhydroxyalkanoate and Alkaline Protease Producer

—The complete genome sequence of thermophilic type strain Tepidimonas tawanensis LMG 22826 T confirmed the earlier statement of its high biotechnological potential. Thanks to its reported ability to produce alkaline proteases and to synthesize polyhydroxyalkanoates (PHA), T. taiwanensis is worth our attention. Here, we present further descriptive analysis based on pathways detection which provides us better understanding of the core of such significant properties. This information can be then used in in silico modeling approaches. In total, 108 biological pathways were detected, phaCAB operon and granule-associated proteins - phasins were found and butanoate pathway comparison with other PHA producing bacteria was provided. Finally, simplified PHA synthesis pathway was introduced.
Prediction model for nonopiate‐induced neonatal abstinence syndrome

Neonatal abstinence syndrome (NAS) induced by opiate use is common worldwide. Psychiatric drugs are a more common cause of NAS in Japan but infants of mothers taking psychiatric medications do not always develop NAS. The purpose of this study was to develop a practical model for predicting the onset of nonopiate‐induced NAS, using variables available at birth.
Weighted sum of harmonic signals for direct imaging in magnetic particle imaging

Objective. Magnetic particle imaging (MPI) is a novel radiation-free medical imaging modality that can directly image superparamagnetic iron oxide tracers (SPIOs) with high sensitivity, temporal resolution, and good spatial resolution. The MPI reconstruction task can be formulated mathematically as a Fredholm integral problem, but the concrete inversion is not easily possible because of the particle dynamics or scanner issues. Measurement based system matrix inversion takes these factors into account, but prior measurement and calibration are time consuming. Approach. We proposed a direct imaging method based on the weighted sum of harmonic signals. The harmonic signals with spatial information are obtained by the short-time Fourier transform, and odd harmonic components are selected for recombination and then mapped to the sampling trajectory to image the concentration distribution of SPIOs. In addition, we adopt a normalized-weighted sum of harmonics to improve the resolution of the native image. Main results. The effectiveness of the proposed method is verified by simulation imaging experiments and our in-house scanner-based experiments. Quantitative evaluation results show that compared with traditional methods, the structural similarity improved by 48%, mean square error decreased by 88%, and signal-to-artifact ratio increased by 2.5 times. Significance. The proposed method can rapidly image the concentration distribution of nanoparticles without any prior calibration measurements and reduce the blur of MPI images without deconvolution, which has the potential to be implemented as a multi-patch imaging method in MPI.
The Incidence of Fracture-Related Infection in Open Tibia Fracture with Different Time Interval of Initial Debridement

Introduction The primary aim of open fracture management is to prevent fracture-related infection by early antibiotic administration, debridement and wound coverage. However, the timing of the initial debridement is still controversial, and 6 to 24 hours is commonly advocated. Studies have yet to provide substantial evidence regarding the best time for surgical debridement. Thus, this study was conducted to compare the incidence of fracture-related infection at different time intervals of initial debridement of the open tibia fracture. Materials and methods A total of 91 patients with grade I, II and IIIa open tibia fractures were recruited from 2016 to 2018, and their data were obtained from the consensus book and medical records. Participants were divided into four groups based on the time of initial debridement: (1) less than 6 hours, (2) 6 to less than 12 hours, (3) 12 to less than 24 hours, and (4) 24 hours and more. Fracture-related infection was determined by using Metsemakers confirmative criteria. Association between time and infection were determine by Binary Logistic Regression analysis by remerged the group into three; (1) less than 12 hours, (2) 12 to less than 24 hours and (3) 24 hours and more. The collected information was analysed using SPSS version 24 and Microsoft Excel 2010. Results The mean age of the participants was 31.9 years old, with male predominant (n=80, 87.0%). Most participants had delayed initial debridement of more than 24 hours and predominantly Gustilo-Anderson type IIIa (n=47). A total of 8 fractures complicated with infection (8.7%), majority in grade IIIa and debridement performed within 12 to less than 24 hours. Binary logistic regression showed increased odds of infection with a delayed wound debridement both in clinical presentation and positive culture, but the association was not statistically significant. The commonest organism isolated was Pseudomonas aeruginosa. Conclusion Comparing to different time interval, initial wound debridement of more than 24 hours did not have strong association with increasing infection rate. However, even though statistically not significant, the odds of infection was increase with increasing time of initial wound debridement of an open tibia fracture, thus it should be performed early.
Harm or asset? Investigating the impact of commuting time on life satisfaction in Ústí nad Labem, Czech Republic

: This study investigates the impact of commuting on life satisfaction of inhabitants of Ústí nad Labem, Czech Republic. The sample is based on three consecutive questionnaire surveys in years 2019, 2020 and 2021, n = 1686 (893 women). The data was analyzed using ordered logit regression models. The results show that in the case of women, there is an optimal commuting time when using public transport. Also, active commuting (on foot or riding a bike) has a potential positive influence on women’s life satisfaction. Commuting by car has no influence on the life satisfaction of women. In the case of men, there is no relation between commuting time and life satisfaction whatsoever. These results can serve as an incentive to promote certain types of transportation both on personal and public level.
Calculation of the directional emissivities of cavities by the Monte Carlo method

An iterative formula for the directional hemispherical apparent reflectivity of an opaque isothermal cavity with an arbitrary surface is derived on the basis of an integral equation representing the apparent reflectivity. Nested integrals in the formula are computed by the hit-or-miss Monte Carlo method. The formula is applied to right circular cylinders whose surfaces are diffuse and to cylindrical cones whose surfaces are characterized by a uniform specular-diffuse model. For the cylinders, a table is given from which one can easily calculate the apparent emissivities of the center of the bottoms for arbitrary surface reflectivities. An analytical recalculation of I2 of Quinn gives corrected values that agree with those produced by the Monte Carlo method. For the cylindrical cones the directional apparent emissivities of the bottoms are obtained by varying the apex angle and the fraction of specular component. We point out that angles of 120° and 70° have advantages even for cavities with moderate specular components. Results are analyzed by studying numerically the individual terms of the iterative formula. The validity of an approximation for the directional apparent emissivity is discussed in terms of the constant asymptotic distribution of impact points of rays in cavities.
Theoretical complex Stark energies of lithium by a complex scaling plus the B-spline approach

The B-spline-based coordinate rotation method plus the model potential approach is applied to investigate the complex energies of low-lying resonances of the lithium atom in an electric field. Our results are compared with two recent calculations by a state-specific complex eigenvalue Schrödinger equation (CESE) (Themelis and Nicolaides 2001 J. Phys. B: At. Mol. Opt. Phys. 34 2905) and complex absorbing potential (CAP) (Sahoo and Ho 2000 J. Phys. B: At. Mol. Opt. Phys. 33 5151) methods, which are in controversy. The positions of resonances by the present calculation are found to be in agreement with theoretical data obtained by both the CESE and CAP methods. Our investigation clarifies that the contradiction about ‘4f0’ resonant position varies with the electric field. However, for the width of resonances, our results are only consistent with those by the CESE method for all strengths of the electric field under consideration. A detailed comparison on the m = 0 state among these three calculations shows that the unusual behaviour of width of resonances in the weak-field case by the CAP method is not a ‘new’ finding but a misguiding resulting from nonconvergent results. The systematic agreement between our model potential calculation and the ab initio calculation by the CESE for lithium indicates that the present proposed method is reliable and appropriate to simplify the calculation of the alkali metal atom in external fields.
On Periodicity in Series of Related Terms

An important extension of our ideas regarding periodicity was made in 1927 when Yule pointed out that, instead of regarding a series of annual sunspot numbers as consisting merely of a harmonic series to which a series of random terms were added, we might suppose a certain amount of causal relationship between the successive annual numbers. In that case the system might be regarded as a physical system possessing one or more natural oscillations of its own, all subject to damping; and the effect of annual random disturbances would be to produce a fairly smooth curve with periods varying in amplitude and length, essentially as the sunspot numbers vary. If we call the departures from their mean of our series u 1, u 2. , Yule showed that the consequence of a single natural period is an equation like ux = ku x -1 - u x -2 + vx , where vx represents the “accidental” external “disturbance”; and if there are two natural periods, ux = k 1 ( u x -1 + u x -3) - k 2 u x -2 - u x -4 + vx
The Initial Response to COVID-19 Disruptions for Older People with HIV in Ukraine

Ukraine imposed a COVID-19 lockdown in March 2020. From April to June 2020, we surveyed 123 older people with HIV (OPWH) by phone to assess their mental health, engagement in HIV and other healthcare, and substance use using standardised scales. Variables of key interest were symptoms of depression and symptoms of anxiety. Univariate and multivariable Firth logistic regression models were built to assess factors associated with: (1) symptoms of depression, and (2) symptoms of anxiety. Findings indicated high suicidal ideation (10.6%); 45.5% met the screening criteria for moderate to severe depression; and 35.0% met the criteria for generalised anxiety disorder (GAD). Independent correlates of having moderate to severe depression included being female (AOR: 2.83, 95%CI = 1.19–7.05), having concerns about potential barriers to HIV treatment (AOR: 8.90, 95%CI = 1.31–104.94), and active drug use (AOR: 34.53, 95%CI = 3.02–4885.85). Being female (AOR: 5.30, 95%CI = 2.16–14.30) and having concerns about potential barriers to HIV treatment (AOR: 5.33, 95%CI = 1.22–28.45) were independently correlated with GAD, and over half (58.5%) were willing to provide peer support to other OPWH. These results highlight the impact of the COVID-19 restrictions in Ukraine on mental health for OPWH and support the need to screen for psychiatric and substance use disorders, potentially using telehealth strategies.
Four-dimensional visualization of single and multiple laser filaments using in-line holographic microscopy

It is shown, both through simulations and experiments, that the in-line holographic microscopy technique can be used to retrieve very small refractive-index perturbations caused during the filamentation of ultrashort laser pulses. This technique provides the possibility of having spatially and temporally (four dimensions) resolved measurements of refractive-index changes, down to 10{sup -4}, from objects with diameters as small as 10 {mu}m. Moreover, we demonstrate the power of the technique in discriminating multiple filaments in a precise quantitative way.
Prediction of the Antibacterial Activity of the Green Synthesized Silver Nanoparticles against Gram Negative and Positive Bacteria by using Machine Learning Algorithms

With the appearance and growth of microbial organisms resistant to various antibiotics, as well as the need to reduce the cost of care of health, the production of antimicrobials at lower costs has become an inescapable necessity for today’s human societies. Recently, the interdisciplinary field of nanotechnology has developed widely. One of the applications of nanobiotechnology is the use of silver nanoparticles (AgNPs) for new solutions in the treatment of microbial infections. AgNPs have unique properties which help in molecular diagnostics, therapies, and also in devices that are used in several medical procedures. In this field, machine learning algorithms have been used with hopeful results. One of the branches of artificial intelligence (AI) is machine learning (ML) that focuses on data and shows the power of the data. Machine learning techniques are taking considerable attention because of their obvious successes in a broad range of predictive tasks. In this work, we studied machine learning technique to predict the antibacterial activity of AgNPs against Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, and Klebsiella pneumoniae. Here, we reviewed 100 articles for completing the data, highlighting the recently used different plants for the synthesis of highly efficient antimicrobial green AgNPs, which consist of key experimental conditions (amount of plant extract, volume of plant extract, volume of solvent, volume of AgNO3 solution, reaction temperature, reaction time, concentration of precursors, and nanoparticle size). The results showed that nanoparticles size and concentration of AgNPs are key factors in predicting the antibacterial effect of AgNPs.
Human Emotions Recognition, Analysis and Transformation by the Bioenergy Field in Smart Grid Using Image Processing

The passage of electric signals throughout the human body produces an electromagnetic field, known as the human biofield, which carries information about a person’s psychological health. The human biofield can be rehabilitated by using healing techniques such as sound therapy and many others in a smart grid. However, psychiatrists and psychologists often face difficulties in clarifying the mental state of a patient in a quantifiable form. Therefore, the objective of this research work was to transform human emotions using sound healing therapy and produce visible results, confirming the transformation. The present research was based on the amalgamation of image processing and machine learning techniques, including a real-time aura-visualization interpretation and an emotion-detection classifier. The experimental results highlight the effectiveness of healing emotions through the aforementioned techniques. The accuracy of the proposed method, specifically, the module combining both emotion and aura, was determined to be ~88%. Additionally, the participants’ feedbacks were recorded and analyzed based on the prediction capability of the proposed module and their overall satisfaction. The participants were strongly satisfied with the prediction capability (~81%) of the proposed module and future recommendations (~84%). The results indicate the positive impact of sound therapy on emotions and the biofield. In the future, experimentation using different therapies and integrating more advanced techniques are anticipated to open new gateways in healthcare.
Stability of an improved dynamic quantised system with time-varying delay and packet losses

The stability problem of a linear dynamic quantised system with time-varying delay and packet losses is studied in this article. An optimal dynamic quantiser which is able to minimise the maximum output error between the quantised system and unquantised systems is designed, and the minimum upper bound of the quantised error is also given. Moreover, the system is lifted into a switched system for stability analysis and a sufficient condition for asymptotic stability is developed in terms of matrix inequalities. Finally, an illustrative example demonstrates the effectiveness of the proposed method.
General analytic method of zone integration for joint densities of states in metals

A general method to calculate analytically the cross section of any shape of a microcell is presented. This method is the generalization of existing zone-integration methods based on the linear approximation. This method is useful for calculating joint densities of states in metals as well as dynamical susceptibilities and dielectric functions when the Fermi surface splits microcells into contributing and noncontributing volumes. It may also prove useful for calculating densities of states in crystals of lower symmetries.
Droplets and Bubbles in Microfluidic Devices

Precise, tunable emulsions and foams produced in microfluidic geometries have found wide application in biochemical analysis and materials synthesis and characterization. Superb control of the volume, uniformity, and generation rate of droplets and bubbles arises from unique features of the microscale behavior of fluid interfaces. Fluid interfaces confined within microfluidic channels behave quite differently than their counterparts in unbounded flows. Confinement inhibits capillary instabilities so that breakup occurs by largely quasi-static mechanisms. The three-dimensional flow near confined interfaces in rectangular geometries and feedback effects from resistance changes in the entire microfluidic network play important roles in regulating the interfacial deformation. Timescales for transport of surfactants and particles to interfaces compete with flow timescales at the microscale, providing further opportunity for tuning the interfacial coverage and properties of individual droplets and bubbles.
Self-Supervised Learning for RGB-Guided Depth Enhancement by Exploiting the Dependency Between RGB and Depth

Due to the imaging mechanism of time-of-flight (ToF) sensors, the captured depth images usually suffer from severe noise and degradation. Though many RGB-guided methods have been proposed for depth image enhancement in the past few years, yet the enhancement performance on real-world depth images is still largely unsatisfactory. Two main reasons are the complexity of realistic noise and degradation in depth images, and the difficulty in collecting noise-clean pairs for supervised enhancement learning. This work aims to develop a self-supervised learning method for RGB-guided depth image enhancement, which does not require any noisy-clean pairs but can significantly boost the enhancement performance on real-world noisy depth images. To this end, we exploit the dependency between RGB and depth images to self-supervise the learning of the enhancement model. It is achieved by maximizing the cross-modal dependency between RGB and depth to promote the enhanced depth having dependency with the RGB of the same scene as much as possible. Furthermore, we augment the cross-modal dependency maximization formulation based on the optimal transport theory to achieve further performance improvement. Experimental results on both synthetic and real-world data demonstrate that our method can significantly outperform existing state-of-the-art methods on depth denoising, multi-path interference suppression, and hole filling. Particularly, our method shows remarkable superiority over existing ones on real-world data in handling various realistic complex degradation. Code is available at https://github.com/wjcyt/SRDE.
Photoluminescence and free-electron absorption in heavily phosphorus-doped Si nanocrystals

Heavily phosphorus-doped Si nanocrystals several nanometers in diameter are studied by photoluminescence (PL) and optical absorption spectroscopy. It is demonstrated that P doping results in the quenching of the PL. The quenching is accompanied by the appearance of the optical absorption in the infrared range. The absorption was assigned to the intravalley transitions of free electrons generated by P doping (free-electron absorption). The generation of free electrons and the resultant three-body Auger recombination of excitons is considered to be responsible for the observed PL quenching.
Gamma-ray spectroscopy experiments for levels in 39K below 8.4 MeV excitation

The gamma-ray spectroscopy of sixty excited states in 39K below an excitation energy of 8.4 MeV has been studied. The data were obtained mainly from the 36Ar+ alpha reaction at beam energies between 7.5 and 16.0 MeV, the remaining data coming from the 24Mg+18O and 28Si+16O reactions, both at beam energies of 42 MeV. 13 new levels were established in 39K and several previously unobserved branches were revealed between the previously known levels. Spins, parities, mixing ratios and gamma-ray branching ratios were determined from angular distribution and linear polarisation measurements using the 36Ar+ alpha reaction at several different beam energies. Mean lifetimes were deduced using both the Doppler-shift attenuation method (with the 36Ar+ alpha reaction) and the recoil-distance method (with the 28Si+16O reaction). The results have allowed transition strengths to be calculated for the decays between many of the levels. The results are discussed in terms of both the shell model and the simple weak coupling model.
Exploring the Possibilities of Automated Annotation of Classical Music with Abrupt Tempo Changes

—In this paper, we introduce options for automatic measure detection based on synchronization, beat detection, and downbeat detection strategy. We evaluate proposed methods on two motifs from the dataset of Leoš Janáček’s string quartet music. We use specific user-driven metrics to capture annotation efficiency simulating a scenario where a musicologist has to use the output of an automated system to create ground-truth annotations on given recordings. In the case of the first motif, synchronization outperformed other methods by detecting most of the measure positions correctly. This procedure was also the most suitable for the second motif—it achieved a low number of correct detections, but the vast majority of transferred time positions belonged within the outer tolerance window. Therefore, in most cases, only shifting operations were needed resulting in higher annotation efficiency. Results suggest that the state-of-the-art downbeat tracking is not yet efficient for expressive music.