Miracle-dz/UniFAR-FTUs huggingface dataset:
A new Type of Filter Function for CT Image Reconstruction

In X-ray computed tomography(XCT),the convolution back projection(CBP) is core algorithm of the CT image reconstruction,and the filter function is an essential part of CBP,the choice of Filter function will directly affect the quality of the reconstructed image.In order to improve the image quality,we design a new filter function which is first weighted mean then linear complex based on the CBP theory.We do the simulation calculations with different intensity coefficient Gaussian random noise to the projection data by new and traditional Filter function.The simulation result show that the new filter function is better than conventional filter function for the CT image reconstruction.
Topically Applied Biopolymer-Based Tri-Layered Hierarchically Structured Nanofibrous Scaffold with a Self-Pumping Effect for Accelerated Full-Thickness Wound Healing in a Rat Model

Wound healing has grown to be a significant problem at a global scale. The lack of multifunctionality in most wound dressing-based biopolymers prevents them from meeting all clinical requirements. Therefore, a multifunctional biopolymer-based tri-layered hierarchically nanofibrous scaffold in wound dressing can contribute to skin regeneration. In this study, a multifunctional antibacterial biopolymer-based tri-layered hierarchically nanofibrous scaffold comprising three layers was constructed. The bottom and the top layers contain hydrophilic silk fibroin (SF) and fish skin collagen (COL), respectively, for accelerated healing, interspersed with a middle layer of hydrophobic poly-3-hydroxybutyrate (PHB) containing amoxicillin (AMX) as an antibacterial drug. The advantageous physicochemical properties of the nanofibrous scaffold were estimated by SEM, FTIR, fluid uptake, contact angle, porosity, and mechanical properties. Moreover, the in vitro cytotoxicity and cell healing were assessed by MTT assay and the cell scratching method, respectively, and revealed excellent biocompatibility. The nanofibrous scaffold exhibited significant antimicrobial activity against multiple pathogenic bacteria. Furthermore, the in vivo wound healing and histological studies demonstrated complete wound healing in wounded rats on day 14, along with an increase in the expression level of the transforming growth factor-β1 (TGF-β1) and a decrease in the expression level of interleukin-6 (IL-6). The results revealed that the fabricated nanofibrous scaffold is a potent wound dressing scaffold, and significantly accelerates full-thickness wound healing in a rat model.
A latch-based sense amplifier with improved performance for single ended SRAM application

The growing processing load and decreasing technology node has augmented the need for single ended memory. Consequently, generating requirement for a single ended sense amplifier for ease of integration with single ended memory. Therefore, this paper presents a single bitline based latch type sense amplifier. It is designed at feature size of 32 nm and its performance is evaluated at 1 V supply, with the environment temperature at 27 °C. It is analyzed for its output waveform, delay, variability tolerance, and area occupancy. The ON current for the proposed sense amplifier is 1.2 uA, while the OFF current is 10 nA. The ON current for proposed sense amplifier is 0.18, 0.43, and 0.88 times higher than SA-2, SA-5, and SA-6 respectively. While, its OFF current is lowest with the exception of SA-3 at 9 nA. Also, the delay for the proposed sense amplifier is minimal at 0.77 ns in comparison to other topologies. The SA-1, SA-2, SA-5, and SA-6 are 3.9, 2.8, 3.7, and 0.3 times slower than SA-P, thereby deeming its operation faster than others. The reliability for the proposed circuit is evaluated using process corner analysis for all performance parameters.
A coparentalidade como mediadora entre a desregulação emocional de mães e a percepção da regulação emocional de seus filhos adolescentes

Pesquisas na área do desenvolvimento da regulação emocional sobre a infância e adolescência sugerem que a etiologia do fenômeno é multifatorial e que é necessário investigar aspectos contextuais relacionados. A coparentalidade é uma variável contextual que vem sendo associada a desfechos nos filhos, podendo ter relação com a regulação emocional. O objetivo desse estudo foi testar um modelo estrutural de relação direta e indireta entre desregulação emocional de mães e a percepção da regulação emocional de seus filhos adolescentes, avaliando o papel mediador da coparentalidade. Trata-se de um estudo quantitativo, transversal e explicativo realizado com 210 mães de adolescentes (M = 15,59, DP = 1,39 anos). Para isso foram utilizados o questionário sociodemográfico, o Difficulties in Emotion Regulation Scale (DERS), o Emotion Regulation Checklist (ERC) e o Coparenting Inventory for Parents and Adolescents (CI-PA) com aplicação online. Foram realizadas análises descritivas, análise correlacional e modelagem de equações estruturais. O modelo interacional aponta para o efeito mediador parcial da coparentalidade nessa relação, bem como efeito indireto da desregulação das mães para a regulação emocional dos adolescentes. Os resultados ainda apontaram que a desregulação emocional das mães parece ter um impacto prejudicial na cooperação coparental. Esses resultados indicam importantes fatores a serem considerados no âmbito clínico nas intervenções com adolescentes e suas famílias.
ON THE APPLICATION OF VORONOI DIAGRAMS AND DELAUNAY TRIANGULATION TO 3D RECONSTRUCTION

Voronoi diagrams and Delaunay triangulation have many properties that are highly desirable for 3D modelling applications and spatial analysis. Therefore they are considered to be the fundamental in 3D space reconstruction. We have highlighted in this paper a short and fast algorithm to optimally compute the Delaunay triangulation, used in the reconstruction of 3D geometric figures where the complexity of the problem is greater than the classical 2D plane case.
Synchronization of a critical chaotic system with Lorenz system and Chen system

A nonlinear feedback controller is designed to make the first state of a new chaotic system track an arbitrary smooth reference signal at an exponential rate. In addition, Chaos synchronization between two different chaotic systems by using active control is presented. This technique is applied to achieve chaos synchronization between the critical system, Lorenz system and Chen system. Numerical simulations are madc to verify the results.
An experimental study on four-directional intersecting pedestrian flows

Intersecting pedestrian flows especially multi-directional ones are complicated in dynamics. People will face unavoidable head-on conflicts and obstruct each other. In this paper, controlled experiments of a four-directional intersecting pedestrian flow were conducted. Up to 364 university students took part in the experiments and their trajectories were extracted by a mean-shift algorithm. The global density–velocity relations in the cross area in different scenarios are compared. Moreover, local density–velocity and local density-flow relations in the cross area are investigated. In order to adapt the study of a fundamental diagram for four directional intersecting flows, a new coordinate system based on pedestrian motion is built. The results indicate that the coordinate system is suitable for the analysis of multi-directional flows. The local density–velocity relation seems consistent with previous results obtained from an actual high-density pedestrian flow. At high densities, the average local velocity in the cross area is a bit larger than a previous study. The reason may be due to the density difference between the cross area and the corridors, which can be observed in real life.
Interval-Censored Regression with Non-Proportional Hazards with Applications

Proportional hazards models and, in some situations, accelerated failure time models, are not suitable for analyzing data when the failure ratio between two individuals is not constant. We present a Weibull accelerated failure time model with covariables on the location and scale parameters. By considering the effects of covariables not only on the location parameter, but also on the scale, a regression should be able to adequately describe the difference between treatments. In addition, the deviance residuals adapted for data with the interval censored and the exact time of failure proved to be satisfactory to verify the fit of the model. This information favors the Weibull regression as an alternative to the proportional hazards models without masking the effect of the explanatory variables.
Derivation and application of the equivalent paraboloid for classical offset Cassegrain and Gregorian antennas

The equivalent paraboloid is derived for classical offset Cassegrain and Gregorian antennas. The important practical case of systems with circular exit apertures is discussed in detail, and a condition for a symmetric equivalent paraboloid is derived. For such systems, diffraction effects are investigated using tapered and scanned feeds to illuminate the equivalent paraboloid and the two-reflector system. >
Automated Implementation of the Edinburgh Visual Gait Score (EVGS) Using OpenPose and Handheld Smartphone Video

Recent advancements in computing and artificial intelligence (AI) make it possible to quantitatively evaluate human movement using digital video, thereby opening the possibility of more accessible gait analysis. The Edinburgh Visual Gait Score (EVGS) is an effective tool for observational gait analysis, but human scoring of videos can take over 20 min and requires experienced observers. This research developed an algorithmic implementation of the EVGS from handheld smartphone video to enable automatic scoring. Participant walking was video recorded at 60 Hz using a smartphone, and body keypoints were identified using the OpenPose BODY25 pose estimation model. An algorithm was developed to identify foot events and strides, and EVGS parameters were determined at relevant gait events. Stride detection was accurate within two to five frames. The level of agreement between the algorithmic and human reviewer EVGS results was strong for 14 of 17 parameters, and the algorithmic EVGS results were highly correlated (r > 0.80, “r” represents the Pearson correlation coefficient) to the ground truth values for 8 of the 17 parameters. This approach could make gait analysis more accessible and cost-effective, particularly in areas without gait assessment expertise. These findings pave the way for future studies to explore the use of smartphone video and AI algorithms in remote gait analysis.
Visualisation of early embryos of the wandering glider, Pantala flavescens (Fabricius, 1798) (Odonata: Libellulidae)

Abstract The embryonic development of Pantala flavescens (Fabricius, 1798) is documented for the first time. In contrast to previously reported insect embryonic development, we describe the embryological development of P. flavescens in living conditions by focusing on its externally recognisable features, i.e., we conducted the study in a purely non-destructive manner. The entire embryonic development was completed within six to seven days. We pictured the eggs at successive embryonic developmental stages: embryogenesis starts, germband formation, segmentation, blastokinesis, appendage formation, and dorsal closure. These findings can be helpful in future studies regarding the impacts of pollutants and climate change on the early embryonic development of dragonflies.
Comparison of Edge Detectors

Edge detection is one of the most significant tasks in image processing systems. Edge map of an image contains vital information about objects present in an image and is used to recognize certain objects in an image. Information contained in edge map will only be useful if edge map contains accurate edges. Process of edge detection is an extremely difficult task. For the last few decades a lot of research has been done in this field. This paper tries to provide a comparison of different edge detection schemes that fall in three main categories of edge detectors: Gradient based edge detectors, Laplacian based edge detectors and Non-derivative based edge detectors. Pratts figure of merit is used to compare quantitatively results of edge maps for a synthetic image at various levels of noise. Results of real life image are analyzed qualitatively. Non-derivative based edge detector SUSAN gives the best results even in presence of noise.
Comprehensive geriatric assessment in older post-stroke patients: A cross-sectional study

This study aims to identify the components of comprehensive geriatric assessment (CGA) in older post-stroke patients. A cross-sectional study was conducted on 137 post-stroke patients aged ≥ 60 years old being treated at the National Geriatric Hospital. The components of CGA were assessed as medical status (nutrition; urinary incontinence, frailty, visual and hearing ability); functional status (Barthel index, instrumental activity daily living, risk of fall); neuropsychological status (cognition and depression). 66.4% of patients had an ischemic stroke, and 33.6% of patients had a hemorrhage stroke. In both ischemic and hemorrhagic post-stroke groups, domains such as functional impairment, malnutrition, vision loss, high risk of falls, cognitive impairment, and depression account for a high rate (≥ 50%). There was no statistically significant difference in rates of CGA domains between the two groups of patients with ischemic and hemorrhage stroke. This study showed a high prevalence of most components of CGA in older post-stroke patients both in ischemic stroke and hemorrhage stroke patients.
One-Period Order Quantity Strategy With Uncertain Match Between The Amount Received And Quantity Requisitioned

AbstractWe consider the single-period inventory problem in which the amount received is a random variable. Silver has investigated such a problem by analysing a general BOQ model, where he assumes a deterministic demand and develops analytic results for different situations concerning the relationship between the mean and standard deviation of the amount received and the quantity requisitioned. In this paper we incorporate those assumptions and formulate the equivalent single-period problem with stochastic demand. We derive the optimal order quantity for two demand distributions.
Anti‑metastatic activity of aromatic aminomethylidenebisphosphonates in a mouse model of 4T1 cell‑derived breast cancer

Breast cancer is one of the major causes of cancer-related mortality among women worldwide. It metastasizes to distant organs, particularly to bone tissue. Nitrogen-containing bisphosphonates are mainly used as an adjuvant therapy to inhibit skeletal-related events; however, there is increasing evidence to suggest that these compounds also exert antitumor effects. In previous studies, the authors synthesized two novel aminomethylidenebisphosphonates (BPs), namely benzene-1,4-bis[aminomethylidene(bisphosphonic)] acid (WG12399C) and naphthalene-1,5-bis[aminomethylidene(bisphosphonic)] acid (WG12592A). Both BPs exhibited notable antiresorptive activity in a mouse model of osteoporosis. The present study aimed to assess the in vivo anticancer activity of WG12399C and WG12592A in 4T1 breast adenocarcinoma model. WG12399C exerted an anti-metastatic effect by reducing the number of spontaneous lung metastases by ~66% in comparison to the control. In the experimental metastasis model of 4T1-luc2-tdTomato cells, this compound reduced the incidence of tumor metastases in the lungs by approximately half in comparison to the control. Both WG12399C and WG12595A also significantly reduced the size and/or number of bone metastatic foci. Their pro-apoptotic and anti-proliferative activity may, at least in part, explain the observed effects. Incubation with WG12399C induced an almost 6-fold increase in caspase-3 activity in 4T1 cells. Moreover, cells treated with WG12399C or WG12595A exhibited a 2-fold reduction in invasiveness through Matrigel. Furthermore, both the BPs were able to sensitize the 4T1 cells to cytostatics. In summary, the results of the present study indicate that the examined aminomethylidene-BPs may be of particular interest in the context of combined treatment in breast cancer therapy.
Mapping of Energy Communities in Europe: Status Quo and Review of Existing Classifications

A lack of aggregate analysis concerning energy communities exists in the academic literature. The authors utilized a combination of literature reviews and desk research to fill this gap. The existing debate on the classification of energy communities was summarized and aligned. Discovered classifications were used to analyze the status quo of the sector. The authors found nearly 4000 energy communities with 900,000 members in the European Union. On average, there are 844 members per one energy community. Germany, the Netherlands, Denmark, and the United Kingdom are at the forefront of the movement. Different countries have different primary sources of renewable energy utilized by energy communities, and membership structures vary based on the energy source and corporate purpose of the energy community together with the sector’s maturity in a certain country. Predominantly, hydro and biomass are used by energy communities in Alpine countries, solar energy is used in Germany, Spain, and France, wind in the Netherlands and Denmark, and different renewables in the United Kingdom. More members have joined the hydro, biomass, and wind communities than solar communities. Each country has national and regional associations of energy communities. In addition, intermediary actors, researchers, and consultancy agencies have shown a growing interest in the deployment of the movement. Achieving a conformity of business models Europe-wide would probably be impossible and pointless. Distinct geographical, institutional, and policy context-specific conditions stimulate diversity rather than conformity.
A Unified Inferring Framework of Multiplex Epidemic Networks Under Multiple Interlayer Interaction Modes

Different epidemic transmissions on multiplex networks may interact and display intertwined effects, leading to a challenge and urgently needed problem of the inference of multiplex epidemic network structures under multiple interlayer interaction modes (IIMs). However, in reality, few existing studies have focused on multiplex epidemic network inference responding to the intertwined IIMs, much less the corresponding consistency analysis. To fill these two gaps, we first propose an inference framework of multiplex epidemic networks under a unified form of IIMs. In particular, we develop a Hamming distance-based two-step estimator for an intricate IIM called infection-probability-dependent interaction (IPDI). The proposed two-step estimator overcomes the problems of unobservable and time-varying variable inference in the IPDI mode. Second, we solve the theoretical difficulty of consistency analysis for the network inference under multiple IIMs and obtain sufficient conditions for exponentially decaying inferring error. Under the guarantee of consistently sufficient conditions, the sample size scale enables our framework's high-dimensional inferring ability. The synthetic network simulations show the validity of the proposed algorithm and consistency analysis. In addition, the analysis of real data of Twitter and Foursquare indicates the effectiveness and practicality of the proposed inferring framework.
Detection of Tick Borne Zoonotic Bacteria by PCR in Dogs

The prevalence of some tick-borne zoonotic bacteria (Borrelia sp., Coxiella burnetii, and Rickettsia sp.) in dog blood samples were examined using by PCR. A total of 200 dog blood samples were collected from dogs located in western Türkiye. Three pathogens for dogs, Borrelia burgdorferi, C. burnetii and Rickettsia sp. of were detected in dog blood samples. A single PCR was performed for the C. burnetii and multiplex PCR was applied for the Rickettsiae spp. and Borrelia burgdorferi. At the end of PCR study, Borrelia burgdorferi, C. burnetii and Rickettsiae sp. target pathogens were identified at the rate of 55.0% from all blood samples. The percentage distributions according to identified species were at the rate of C. burnetii 1.5%, Borrelia burgdorferi sensu lato 2.0% and Rickettsiae spp. 51.5%. In this results show that the dogs may be a risk factor for the distribution of the tick-borne zoonotic bacteria. Tick borne zoonotic bacteria were to create a hazard to the human health.
Impact of Organizational Climate on Intentions to Leave and Job Satisfaction

This study examines the impact of organizational climate on job satisfaction and intentions to leave of a higher educational institution. Organizational climate consists of four quadrants namely human relations, internal process, open systems, and rational goal. A total of 210 data was analyzed and path analysis was used to examine the relationship between organizational climate, job satisfaction, and intention to leave. The finding indicates that human relations, open systems, and rational goal have significant impact on job satisfaction and intention to leave. Internal process has impacted on job satisfaction, but no impact on intention to leave. This study provides recommendation to top management on how to reduce the intention to leave and enhance job satisfaction.
Numerical Validation for High Order Hyperbolic Moment System of Wigner Equation

A globally hyperbolic moment system upto arbitrary order for the Wigner equation was derived in [6]. For numerically solving the high order hyperbolic moment system therein, we in this paper develop a preliminary numerical method for this system following the NRxx method recently proposed in [8], to validate the moment system of the Wigner equation. The method developed can keep both mass and momentum conserved, and the variation of the total energy under control though it is not strictly conservative. We systematically study the numerical convergence of the solution to the moment system both in the size of spatial mesh and in the order of the moment expansion, and the convergence of the numerical solution of the moment system to the numerical solution of the Wigner equation using the discrete velocity method. The numerical results indicate that the high order moment system in [6] is a valid model for the Wigner equation, and the proposed numerical method for the moment system is quite promising to carry out the simulation of the Wigner equation. AMS subject classifications: 82C10, 81-08, 47A57
Strong consistency of multivariate spectral variance estimators in Markov chain Monte Carlo

Markov chain Monte Carlo (MCMC) algorithms are used to estimate features of interest of a distribution. The Monte Carlo error in estimation has an asymptotic normal distribution whose multivariate nature has so far been ignored in the MCMC community. We present a class of multivariate spectral variance estimators for the asymptotic covariance matrix in the Markov chain central limit theorem and provide conditions for strong consistency. We also show strong consistency of the eigenvalues of the estimator. Finally, we examine the finite sample properties of the multivariate spectral variance estimators and its eigenvalues in the context of a vector autoregressive process of order 1.