Miracle-dz/UniFAR-FTUs huggingface dataset:
LHC BFPP Quench Test with Ions (2015)

Summary The 2015 Pb-Pb collision run of the LHC operated at a beam energy of 6:37Z TeV. The power of the secondary beams emitted from the interaction point by the bound-free pair production (BFPP) process reached new levels while the propensity of the bending magnets to quench is higher at the new magnetic eld levels. This beam power is about 70 times greater than that contained in the luminosity debris
ChatGPT’s ability to classify virtual reality studies in cardiology

We recently published a novel categorization of studies related to virtual reality (VR) in your journal, European Heart Journal—Digital Health . 1 Our categorization is based on the usage of VR devices, where type A studies refer to those in which healthcare providers use VR devices and type B studies refer to those in which patients use them. Using this sim-ple definition, we clarified the study trends and characteristics of the two research directions. In this study, we used a classical natural language processing (NLP) methodology, specifically ‘term frequency– inverse document frequency’ to develop an automatic abstract categorizer, which is available as a web application at https://ahigaki-vr-categorizer-str-app-gb1m6v.streamlit. app
Diminazene Ameliorates Neuroinflammation by Suppression of Astrocytic miRNA-224-5p/NLRP3 Axis in Alzheimer’s Disease Model

Purpose ACE2/Ang(1–7)/Mas Receptor, the momentous component of the renin-angiotensin system, has been shown to be involved in Alzheimer’s disease (AD). We had previously found that enhancing brain ACE2 activity ameliorated cognitive impairment and attenuated brain neuroinflammation in SAMP8 mice, an animal model of AD. However, the exact mechanism of action of Diminazene (DIZE) has not been revealed. Methods APP/PS1 mice were injected intraperitoneally with DIZE. Cognitive functions, neuronal and synaptic integrity, and inflammation-related markers were assessed by Morris water maze, Nissl staining, Western blotting and ELISA, respectively. Since astrocytes played a crucial role in AD-related neuroinflammation whilst miRNAs were reported to participate in modulating inflammatory responses, astrocytes of APP/PS1 mice were then isolated for high-throughput miRNAs sequencing to identify the most differentially expressed miRNA following DIZE treatment. Afterward, the downstream pathway of this miRNA in the anti-inflammatory action of DIZE was investigated using primary astrocytes. Results The results showed that DIZE alleviated cognitive impairment and neuronal and synaptic damage in APP/PS1 mice. Simultaneously, DIZE suppressed the secretion of pro-inflammatory cytokines and the expression of NLRP3 inflammasome. Importantly, miR-224-5p was significantly up-regulated in the astrocytes of APP/PS1 mice treated by DIZE, and NLRP3 is one of the targets of miR-224-5p. Upregulation of miR-224-5p inhibited the expression of NLRP3 in Aβ1–42-stimulated cells, whereas miR-224-5p downregulation reversed this effect. Furthermore, the inhibition of miR-224-5p could reverse the inhibitory effect of DIZE on astrocytic NLRP3 inflammasome. Conclusion These findings firstly suggested that DIZE could inhibit astrocyte-regulated neuroinflammation via miRNA-224-5p/NLRP3 pathway. Furthermore, our study reveals the underlying mechanism by which DIZE suppresses neuroinflammatory responses in AD mice and uncovers the potential of DIZE in AD treatment.
Chip Formation and Orthogonal Cutting Optimisation of Unidirectional Carbon Fibre Composites

This study presents a thorough experimental investigation utilising the design of experiments and analysis of variance (ANOVA) to examine the impact of machining process parameters on chip formation mechanisms, machining forces, workpiece surface integrity, and damage resulting from the orthogonal cutting of unidirectional CFRP. The study identified the mechanisms behind chip formation and found it to significantly impact the workpiece orientation of fibre and the tool’s cutting angle, resulting in increased fibre bounceback at larger fibre orientation angles and when using smaller rake angle tools. Increasing the depth of cut and fibre orientation angle results in an increased damage depth, while using higher rake angles reduces it. An analytical model based on response surface analysis for predicting machining forces, damage, surface roughness, and bounceback was also developed. The ANOVA results indicate that fibre orientation is the most significant factor in machining CFRP, while cutting speed is insignificant. Increasing fibre orientation angle and depth leads to deeper damage, while larger tool rake angles reduce damage. Machining workpieces with 0° fibre orientation angle results in the least subsurface damage, and surface roughness is unaffected by the tool rake angle for fibre orientations between 0° to 90° but worsens for angles greater than 90°. Optimisation of cutting parameters was subsequently carried out to improve machined workpiece surface quality and reduce forces. The experimental results showed that negative rake angle and cutting at moderately low speeds (366 mm/min) are the optimal conditions for machining laminates with a fibre angle of θ = 45°. On the other hand, for composite materials with fibre angles of θ = 90° and θ = 135°, it is recommended to use a high positive rake angle and cutting speeds.
Improvement of RSS-Based Measurement Based on Adaptive Kalman Filter Considering the Anisotropy on Antenna in Dynamic Environment

The classic propagation model of received signal strength (RSS) measurement is significantly affected by the environment. This article divides the error sources of RSS ranging into three parts and deals with them in different methods. First, considering the influence of unmanned aerial vehicle (UAV) pose on RSS, the compensation model is established through Gaussian process regression (GPR) for the first time by mapping the quaternion of the UAV and the attenuation caused by the influence of anisotropy on the antenna in the corresponding special orthogonal group SO(3). On this basis, the distribution of random compensation variables is derived by unscented transformation (UT) and covariance propagation. Besides, a polynomial function is employed for fitting the distance-dependent environment noise. Then, to deal with the RSS measurement instability caused by the environment noise and the uncertainty of compensation, the adaptive Kalman filter (AKF) is introduced. Finally, an UWB-based environmental adaptive algorithm (UEAA) is proposed to improve ranging precision by using the UWB device in a dynamic environment. By setting the threshold parameter, the UEAA enables the classic RSS ranging model to have a certain adaptive ability for the dynamic environment of UAV, which significantly reduces the error caused by model parameter mismatch. Several experiments are carried out on the UAV platform, and the results show that the improvement of the RSS propagation model is adequate.
Visual Simultaneous Localization and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity

This work proposes a novel visual Simultaneous Localisation and Mapping (vSLAM) approach for robots in sewer pipe networks. One problem of vSLAM in pipes is that the scale drifts and accuracy degrades. We propose the use of structural information to mitigate this problem via cylindrical regularity. The main novelty consists of an approach for cylinder detection that is more robust than previous methods in non-smooth sewer pipe environments. Cylindrical regularity is then incorporated into both local bundle adjustment and pose graph optimisation. The approach adopts a minimal cylinder representation with only five parameters, avoiding constraints during the optimisation in vSLAM. A further novelty is that the estimated cylinder is part of the scale drift estimation, which enables a correction to the translation estimate and this further improves the accuracy. The approach, termed Cylindrical Regularity ORB-SLAM (CRORB), is benchmarked and compared to leading visual SLAM algorithms ORB-SLAM2 and direct sparse odometry (DSO), as well as a vSLAM algorithm with cylindrical regularity developed for gas pipes, using real sewer pipe data and synthetic data generated with the Gazebo modelling software. The results demonstrate that CRORB improves substantially over the competitors, with a reduction of approximately 70% in error on real data.
Magnetic field components analysis of the SCUPOL 850 microns polarization data catalog

Abstract The SCUPOL catalog is a compilation of 83 regions that were observed at the JCMT between 1997 and 2005. For sufficiently sampled maps, we conduct an analysis for characterizing the polarization and magneto-turbulent properties of the observed regions. The same analysis is done on 2D polarization maps produced by 3D MHD 1024 pixel grid simulations that have been scaled on a sample of observed maps. Each scaled MHD cube of simulated data is used to calculate the mean turbulent regime of each observed regions.
Numerical Simulation of Crosstalk Effects in PMUT Arrays

The significant negative influence of crosstalk among the diaphragms of Piezoelectric Micromachined Ultrasonic Transducers (PMUT) drives its mechanical and acoustic behavior to deviate from the desired ideal performance. Crosstalk analysis on a 4 × 4 PMUT array designed for in-air applications is presented in this study. It is suspected that crosstalk occurs primarily through acoustic coupling among transducers, or more precisely, through the acoustically connected cavities. A comprehensive set of numerical models representing two adjacent PMUTs working under varying levels of acoustic coupling is investigated in order to understand the level of acoustic crosstalk through the cavities and its impact on the array performance. The numerical results are then validated with experimental data. The computed response spectra of the PMUTs reveal that the presence of secondary peaks, which indicate the presence of crosstalk, is reduced when the transducers are partially or entirely decoupled as compared to a fully coupled case.
Spatial–Temporal Distribution of Fish Larvae in the Pearl River Estuary Based on Habitat Suitability Index Model

Simple Summary The Pearl River Estuary (PRE), China, where riverine and marine factors alternate in strength and weakness, is one of the most important fishing grounds in the South China Sea. The spatial–temporal distribution of fish larvae directly affects the stock density in the area. This study revealed the relationship between fish larvae and marine environmental factors in the PRE, through multisensor satellite remote sensing and fishing surveys, based on the Habitat Suitability Index (HSI) model. The spatial–temporal distribution of fish larvae has unique distribution characteristics under different seasons and has high consistency with the changes of monsoon and flow field, etc. The findings of this study can help researchers gain a good understanding of the movement of fish larvae in the PRE and promote better habitat conservation under a changing climate. Abstract The spawning grounds are important areas for the survival and reproduction of aquatic organisms and play an important role in the replenishment of fishery resources. The density of fish larvae in the Pearl River Estuary (PRE) was analyzed to establish Habitat Suitability Index (HSI) based on marine environmental factors. Survey data and satellite remote sensing data, including sea surface temperature, sea surface salinity and chlorophyll a concentration, from 2014 to 2017 during April–September were analyzed. Results showed that the accuracy of the HSI model based on the larval density and environmental factors was more than 60%, and the distribution trend of HSI was consistent with the distribution trend of larval density. The HSI models constructed based on Arithmetic Mean Model (AMM), Geometric Mean Model (GMM) and Minimum Model (MINM) methods can better predict the spatial–temporal distribution of larvae in the PRE. Among them, the accuracy of the HSI model constructed by the AMM and GMM methods was the highest in April (71%) and September (93%); the accuracy of the HSI model constructed by the MINM method was the highest in June (70%), July (84%) and August (64%). In general, the areas with high HSI values are mainly distributed in the offshore waters of the PRE. The spatial–temporal distribution of larvae in the PRE was influenced by monsoon, Pearl River runoff, Guangdong coastal currents and the invasion of high-salinity seawater from the outer sea.
ResNet Based Classification of Gender from Fingertip Pulse Wave

One distinctive Traditional Chinese Medicine (TCM) diagnostic technique is pulse diagnosis. According to TCM theory, men and women of the same age have somewhat different pulses. In this manuscript, we use fingertip pulse wave data from 400 graduate students to find gender-specific pulse differences using a residual neural network model. The trained network's discrimination accuracy reached 78%.
Social Experimentation and Economic Policy.

Social experimentation is a tool that enables economists and policy makers to test proposed economic policies in the real world. Instead of testing policies by analytical methods or by laboratory simulation, the policies are tested on people who would be affected were these policies implemented. The authors describe how such social experiments are set up and carried out, and consider the advantages and disadvantages of social experimentation relative to other means of evaluating economic and social policies. The main part of the book is a review and a critical evaluation of the principal social experiments in economics that have been carried out in the United States, where this method has been used most extensively. The authors examine in detail the first large-scale experiment in the United States (the New Jersey Income Maintenance Experiment) and subsequent experiments with the labour force, electricity rates, and cash housing allowances. A consideration of the social utility of social experimentation follows, and the book closes with a set of recommendations on the conditions under which social experimentation might best be used in evaluating economic and social policies.
Lyapunov Exponent-based PI Optimization for the Delayed Feedback Control of Chaos

The objective of this study is the control and stabilization of chaotic systems. It proposes a new hybrid control approach combining the proportional-integral (PI) technique with the delayed feedback control approach. The main idea behind this is to transform the structural stabilization problem into an optimization task. The target is to find the PI gains optimal values that give the lowest value for the maximum Lyapunov exponent. The PI argument is the difference between the present state of the system and its delayed value by one period. This allows the optimal structural stabilization of the chaotic orbits of the system. The widening of the stable region, and the decrease of the transient time for stabilization. The proposed approach is validated, and its performance is shown by numerical simulation on a chaotic system benchmark.
Metal-to-Metal Flip-Chip Bonding for High-Temperature 3D SiC IC Integration and Packaging

This work explored the gold stud bump-based flip-chip metal-to-metal bonding for high-temperature (600°C) SiC IC integration and packaging. Gold stud bumps were created onto the dummy SiC chips using a standard wire bonder with one mil gold wires. Different substrate metal conductor materials, including electroplated gold, screen-printed gold, and sputtered thin-film gold, were used. The dummy chips with gold stud bumps were flip-chip bonded to the various substrates and subjected to a thermal aging process at 600°C for 2, 4, and 6 days. Die shear test was used to test the bonding reliability after days of the thermal aging process, which shows that the electroplated gold has the best bonding reliability for long-term high temperatures applications such as Venus surface explorations. 1 μm thick platinum conductors on the SiC host substrate warped and detached from the titanium adhesion layer after days of thermal aging, indicating that the platinum film must be thinner to service long-term high-temperature application purposes.
Collocation and least squares method for 2D heat conduction equation

Ддя уравнения теплопроводности построен метод, основанный на комбинации метода коллокации и метода наименьших квадратов. Он имеет ряд привлекательных свойств, таких как легкость задания граничных условий различных типов, легкость повышения порядка аппроксимации, и др. На тестах с известными точными решениями на последовательности сеток показана сходимость численного решения к точному и исследован порядок сходимости. Приведены формулы для ускорения сходимости итераций.
Tracking optimization for propagation of electromagnetic waves for multiple wavelengths

The purpose of our work is to design dielectric composite structures with specific qualities. In this paper we construct interfaces of given material components such that the originated structure attains desired properties. Propagation of the electromagnetic waves in the composite is described by the Helmholtz equation. Quality of the structure for a given set of wavelengths is enumerated by the tracking functionals that are to be minimized. Interfaces of the given materials are parametrized by the cubic B-spline curves. The design variables are afterwards the positions of B-spline control points. For cost functional evaluation one forward computation of the Helmholtz equation for each wavelength is needed. To get the sensitivity of the objective function we solve the backward (adjoint) equation. Several numerical simulations are presented. Finally three different designs are discussed. c
REDUCING THE SEARCH SPACE AND TIME COMPLEXITY OF NEEDLEMAN-WUNSCH ALGORITHM (GLOBAL ALIGNMENT) AND SMITH-WATERMAN ALGORITHM (LOCAL ALIGNMENT) FOR DNA SEQUENCE ALIGNMENT

The fundamental procedure of analyzing sequence content is sequence comparison. Sequence comparison can be defined as the problem of finding which parts of the sequences are similar and which parts are different, namely comparing two sequences to identify similarities and differences between them. A typical approach to solve this problem is to find a good and reasonable alignment between the two sequences. The main research in this project is to align the DNA sequences by using the Needleman-Wunsch algorithm for global alignment and Smith-Waterman algorithm for local alignment based on the Dynamic Programming algorithm. The Dynamic Programming Algorithm is guaranteed to find optimal alignment by exploring all possible alignments and choosing the best through the scoring and traceback techniques. The algorithms proposed and evaluated are to reduce the gaps in aligning sequences as well as the length of the sequences aligned without compromising the quality or correctness of results. In order to verify the accuracy and consistency of measurements obtained in Needleman-Wunsch and Smith-Waterman algorithms the data is compared with Emboss (global) and Emboss (local) with 600 strands test data.
Multi-toning Image Adjustment

Due to the different lighting environments or other reasons,the pixel colors may be quite different in one image which causes distinct visual discontinuities.It makes the analysis and processing of such an image more difficult and sometime impossible.In this paper,a unified multi-toning image adjustment method is proposed to solve this problem.First,a novel unsupervised clustering method was proposed to partition the source and the target image into a certain number of subsets with similar color statistics.By matching the texture characteristics and luminance distribution between the blocks,it can create optimized correspondence.Then,the color information was transferred from the matched pixels in the source blocks to the target ones.Graph cut method was used to optimize the seams between different subsets in the final step.This method can automatically perform color adjustment of a multi-toning image.It is simple and efficient.Various results show the validity of this method.
Prevalence of Aflatoxins in Camel Milk from the Arabian Peninsula and North Africa: A Reduction Approach Using Probiotic Strains

Camel milk is known as a source of nutritional and health supplements. It is known to be rich in peptides and functional proteins. One main issue facing it is related to its contamination, mainly with aflatoxins. The present study aimed to evaluate camel milk samples from different regions while trying to reduce its toxicity using safe approaches based on probiotic bacteria. Collected samples of camel milk were sourced from two main regions: the Arabic peninsula and North Africa. Samples were tested for their contents of aflatoxins (B1 and M1) using two techniques to ensure desired contamination levels. Additionally, feed materials used in camel foods were evaluated. Applied techniques were also tested for their validation. The antioxidant activity of camel milk samples was determined through total phenolic content and antioxidant activity assays. Two strains of probiotic bacteria (Lactobacillus acidophilus NRC06 and Lactobacillus plantarum NRC21) were investigated for their activity against toxigenic fungi. The result revealed high contamination of aflatoxin M1 for all samples investigated. Furthermore, cross-contamination with aflatoxin B1 was recorded. Investigated bacteria were recorded according to their significant inhibition zones against fungal growth (11 to 40 mm). The antagonistic impacts were between 40% and 70% against toxigenic fungi. Anti-aflatoxigenic properties of bacterial strains in liquid media were recorded according to mycelia inhibition levels between 41 to 52.83% against Aspergillus parasiticus ITEM11 with an ability to reduce aflatoxin production between 84.39% ± 2.59 and 90.4% ± 1.32 from media. Bacteria removed aflatoxins from the spiked camel milk in cases involving individual toxin contamination.
MXene-based material optimized shielding effectiveness of chassis

The electronic equipment needs a special circuit design during working in complex electromagnetic environmental. Human-made or natural electromagnetic interference has a large effect on electronics. Both the couple of signal cable and the bit error rate during highspeed communication affects the reliability of equipment. Thus, electronic equipment with these problems is bad for the process of industrial production. Electromagnetic shielding is a good method to improve the radiated susceptibility of electronic equipment. The material of the chassis, the structure of chassis, and the thickness of the chassis wall affect the shielding effectiveness of chassis. Thus, in order to investigate the effect of microwave absorption material on the shielding effectiveness of chassis. This article is based on the material of the chassis, combing the simulation of High Frequency Structure Simulation (HFSS) software, to study the effect of MXene-based microwave absorption material on the shielding effectiveness. The simulation results indicate that chassis optimized by MXene-based materials has a better shielding effectiveness. When the thickness of the microwave absorption material is 0.6 mm, it shows a good shielding effectiveness. SCIREA Journal of Physics