Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Elastic Reed–Solomon Codes for Erasure-Coded Key–Value Stores

Erasure coding is a storage-efficient redundancy scheme for modern key–value (KV) stores, storing stripes of data and parity chunks in multiple nodes. To accommodate the highly skewed and time-varying nature of the workload, KV stores require erasure code that dynamically optimizes its parameters, known as redundancy converting. Stretched Reed–Solomon (SRS) and elastic Reed–Solomon (ERS) codes represent promising candidates for meeting such requirements. However, both SRS and ERS are limited to RS <inline-formula> <tex-math notation="LaTeX">$(d,r)\to $ </tex-math></inline-formula> RS <inline-formula> <tex-math notation="LaTeX">$(d^{\prime },r^{\prime })$ </tex-math></inline-formula> converting, where <inline-formula> <tex-math notation="LaTeX">$d^{\prime }>d,r^{\prime }=r$ </tex-math></inline-formula>, failing to fully meet actual needs. This work presents an advanced ERS code (AERS code), which builds upon flexible encoding matrices and placement strategies, serving different types of redundancy converting, and minimizing converting traffic. We further prove that the AERS code is an optimal redundancy converting solution that achieves the theoretical lower bound on data traffic during redundancy converting while guaranteeing node-level fault tolerance. We evaluate the AERS code through both mathematical analysis and experiments. In the mise-en-scène of its state-of-the-art alternatives, AERS stands out by reducing network traffic up to 50%–85.7% while accelerating redundancy converting.
Intelligent fault diagnosis for variable working conditions of rotor-bearing system based on vibration image and domain adaptation

In recent years, intelligent condition monitoring and diagnosis based on deep learning have made great progress. However, traditional diagnostic methods mostly perform vibration analysis based on accelerometer signals, ignoring the influence of sensors on the mass load of the measured object. On the other hand, conventional transfer learning (TL) methods are mostly based on global distribution alignment to achieve intelligent diagnosis under variable working conditions. In this paper, a deep global subdomain adaptation network (DGSAN) is proposed to solve the intelligent diagnosis problem under variable working conditions based on vibration image and TL. First, visual measurement is introduced in vibration extraction. Based on the phase vibration extraction method, the vibration feature information is obtained from the visual vibration image to construct the vibration dataset. Then, the proposed DGSAN establishes a multi-layer domain adaptive network to minimize the difference in feature distribution and realize fine-grained feature distribution alignment of fault data under variable working conditions. Comparative experiments are carried out on the vibration image datasets of rotor-bearing systems, and the results show that the proposed method achieves high-precision transfer intelligent diagnosis.
Can the Green Finance Reform and Innovation Improve Green Investment of Heavily Polluting Enterprises?

Determining whether the Green Finance Reform and Innovation Pilot Zone (GFRI) promotes the green investment (GI) of enterprises is practically important for China to achieve the “double carbon” goal early. This study examines the effect of GFRI on GI by the relevant data of listed heavily polluting enterprises in China from 2011 to 2020 and a difference-in-difference model. The results show that GFRI improves the GI of enterprises, and GFRI can enhance GI by promoting reputational costs and loan scale. The improvement effect is also more significant for state-owned enterprises, enterprises with high financing constraints, enterprises in regions with high environmental regulation intensity, and enterprises with executives’ financial backgrounds. The improvement in GI can further enhance the value of enterprises after the implementation of GFRI. The study provides a direct answer to the key question of whether the GFRI can actually support high-quality economic development.
Image deblurring using a joint entropy prior in x-ray luminescence computed tomography

X-ray luminescence computed tomography (XLCT) is an emerging hybrid imaging modality that can provide functional and anatomical images at the same time. Traditional narrow beam XLCT can achieve high spatial resolution as well as high sensitivity. However, by treating the CCD camera as a single pixel detector, this kind of scheme resembles the first generation of CT scanner which results in a long scanning time and a high radiation dose. Although cone beam or fan beam XLCT has the ability to mitigate this problem with an optical propagation model introduced, image quality is affected because the inverse problem is ill-conditioned. Much effort has been done to improve the image quality through hardware improvements or by developing new reconstruction techniques for XLCT. The objective of this work is to further enhance the already reconstructed image by introducing anatomical information through retrospective processing. The deblurring process used a spatially variant point spread function (PSF) model and a joint entropy based anatomical prior derived from a CT image acquired using the same XLCT system. A numerical experiment was conducted with a real mouse CT image from the Digimouse phantom used as the anatomical prior. The resultant images of bone and lung regions showed sharp edges and good consistency with the CT image. Activity error was reduced by 52.3% even for nanophosphor lesion size as small as 0.8mm.
Area-Detector Computed Tomography for Pulmonary Functional Imaging

An area-detector CT (ADCT) has a 320-detector row and can obtain isotropic volume data without helical scanning within an area of nearly 160 mm. The actual-perfusion CT data within this area can, thus, be obtained by means of continuous dynamic scanning for the qualitative or quantitative evaluation of regional perfusion within nodules, lymph nodes, or tumors. Moreover, this system can obtain CT data with not only helical but also step-and-shoot or wide-volume scanning for body CT imaging. ADCT also has the potential to use dual-energy CT and subtraction CT to enable contrast-enhanced visualization by means of not only iodine but also xenon or krypton for functional evaluations. Therefore, systems using ADCT may be able to function as a pulmonary functional imaging tool. This review is intended to help the reader understand, with study results published during the last a few decades, the basic or clinical evidence about (1) newly applied reconstruction methods for radiation dose reduction for functional ADCT, (2) morphology-based pulmonary functional imaging, (3) pulmonary perfusion evaluation, (4) ventilation assessment, and (5) biomechanical evaluation.
The association between motivation and physical activity among forensic and rehabilitation inpatients in Aotearoa New Zealand

The aim of this study was to examine the association between motivation and physical activity among forensic and rehabilitation inpatients living with serious mental illness in Aotearoa New Zealand (NZ). Patients from a long-stay forensic and rehabilitation inpatient facility were recruited to participate in an interview that collected information on their personal characteristics (e.g., age, gender), motivation to be active using the Behavioural Regulation in Exercise (BREQ-3-PA), and physical activity levels using the Simple Physical Activity Questionnaire (SIMPAQ). The association between motivation and physical activity was examined using Spearman’s rho and classified according to accepted thresholds for correlation coefficient effect sizes. All participants (n = 24) met global and national physical activity recommendations. All correlations between the different physical activity types and the relative autonomy index score were negligible (Spearman’s rho < 0.3), as were correlations between total moderate-vigorous physical activity and each of the six motivation subscales (Spearman’s rho < 0.3). Participation in exercise and sport was positively correlated with intrinsic motivation (Spearman’s rho = 0.356) and identified regulation (Spearman’s rho = 0.391). All other correlations between physical activity types and the motivation subscales were negligible (Spearman’s rho < 0.3). In summary, there was limited evidence of an association between physical activity participation and motivation to be physically active. Results may have been affected by the effects of institutionalisation within this population, whose ability to act autonomously is severely limited. Further research is required to better understand the potential benefit of motivational interventions to encourage physical activity participation, and what form they should take.
Comparison of two types of color transfer algorithms in YUV and Lab color spaces

For the purpose of coloring the night-vision images captured by low-light image intensifiers or infrared thermal imagers, color transfer algorithms were used to transfer natural colors to these gray images. Most of the color transfer algorithms can be divided into two classes: global color transfer and point color transfer. In global color transfer algorithms, the means and variances of the initial false color image were adjusted according to those of the reference color image. In point color transfer algorithms, the matching points were determined between the grayscale image and the reference color image. These two kinds of algorithms are always carried out in two common color spaces: YUV color space and Lab color space. The color space influences the performance of the color transfer algorithms. In this paper, several typical color transfer algorithms, including basic ones and multi-resolution ones, were carried out in different color spaces. The results show that global color transfer algorithms perform better in the YUV color space and the Lab space is more suitable for point color transfer algorithms. The biggest difference between these two color spaces is that the correlation between the channels of Lab space is much lower than that of YUV space. The global color transfer algorithms adjust the color components of the initial false color image with a uniform conversion, linear or non-linear ways. This process can benefit form the correlation between the channels, which is much higher in YUV space. However, the coloring process of the point color transfer algorithms is independent from the points matching process based on grayscale. This is the reason why the point color transfer algorithms should be implemented in the Lab space.
Transcriptomic Profiling of Meat Quality Traits of Skeletal Muscles of the Chinese Indigenous Huai Pig and Duroc Pig

The Huai pig is a well-known indigenous pig breed in China. The main advantages of Huai pigs over Western commercial pig breeds include a high intramuscular fat (IMF) content and good meat quality. There are significant differences in the meat quality traits of the same muscle part or different muscle parts of the same variety. To investigate the potential genetic mechanism underlying the meat quality differences in different pig breeds or muscle groups, longissimus dorsi (LD), psoas major (PM), and biceps femoris (BF) muscle tissues were collected from two pig breeds (Huai and Duroc). There were significant differences in meat quality traits and amino acid content. We assessed the muscle transcriptomic profiles using high-throughput RNA sequencing. The IMF content in the LD, PM, and BF muscles of Huai pigs was significantly higher than that in Duroc pigs (p < 0.05). Similarly, the content of flavor amino acids in the three muscle groups was significantly higher in Huai pigs than that in Duroc pigs (p < 0.05). We identified 175, 110, and 86 differentially expressed genes (DEGs) between the LD, PM, and BF muscles of the Huai and Duroc pigs, respectively. The DEGs of the different pig breeds and muscle regions were significantly enriched in the biological processes and signaling pathways related to muscle fiber type, IMF deposition, lipid metabolism, PPAR signaling, cAMP signaling, amino acid metabolism, and ECM–receptor interaction. Our findings might help improve pork yield by using the obtained DEGs for marker-assisted selection and providing a theoretical reference for evaluating and improving pork quality.
It’s addiction at this Point”: A qualitative examination of youth E-cigarette use trajectory in the United States

E-cigarettes (electronic cigarettes) have been the most used tobacco product among US youth since 2014, reaching a plateau during the COVID-19 pandemic. Youth e-cigarette use is associated with negative health consequences such as impaired cognitive functioning. For many, the COVID-19 pandemic altered social interactions, harm perceptions, and product availability. This changed the frequency and locations in which youth use e-cigarettes. To better understand youth e-cigarette use, we need more information on factors that can alter e-cigarette use, specifically, how the pandemic changed e-cigarette use among youth. In 2020-2021, we conducted online, individual interviews with 19 youth (aged 13-17) e-cigarette users living in the US to explore how COVID-19 impacted their e-cigarette use. Youth described a progression of e-cigarette use from initial experimentation, regular social use, and ultimately to nicotine addiction demonstrated by individual use in isolation. Many youth initiated e-cigarette use due to influences by friends or family members. Youth discussed progression to social use, with social interactions as an important reason for use and an avenue for expanding one’s knowledge of e-cigarettes. After a period of time, youth began to recognize that the social interactions mattered less, suggesting to them that they had become addicted. This realization became more apparent during COVID-19, which changed how youth used e-cigarettes, especially around where use was occurring, health concerns, and use behavior and frequency. In our interviews, youth trajectory began with an initiation with family and friends, progressed to social use, and eventually developed to addiction, at which point social use was no longer the primary motivation for e-cigarette use. Understanding the trajectory of e-cigarette use will allow for effective interventions that reduce harm to youth from e-cigarette use.
Impact of Embedded Co Nanoparticles on Local Magnetic Properties of L10-FePt Films

Hard magnetic films with precisely tuned switching fields are of great interest for advanced magnetic microsystems. Here, we report on the specific evolution of semi-hard magnetic properties of <inline-formula> <tex-math notation="LaTeX">${L} 1_{0}$ </tex-math></inline-formula>-FePt films integrating a graded concentration of soft cobalt nanomagnets. These nanocomposites are prepared by the combination of mass selected cluster beam deposition (MS-LECBD) and e-beam evaporation techniques where 8 nm Co nanoparticles (Co-NPs) are embedded with various <inline-formula> <tex-math notation="LaTeX">${x}$ </tex-math></inline-formula> atomic concentration up to 50%, into Fe/Pt multilayers. Subsequent annealing allows us to reach the alloy chemical order for the FePt matrix by conserving Co-rich nanometer-sized inclusions. The focus is put on the interplay between the local microstructure and the coercive magnetic field through a combinatorial approach that involves local determinations of composition, magnetization reversal from scanning magneto-optical Kerr effect (MOKE), and element-specific spin and orbital magnetic moments from X-ray magnetic circular dichroism (XMCD) performed at the Co and Fe L-edges of absorption. We show how the nanostructuration changes the magnetic coercivity, and how both Co and Fe effective magnetic spin moments evolve with the composition of the nanocomposite film.
Optimizing of Arabica Coffee Bean Fermentation Process Using a Controlled Fermentor

One of primary coffee processing steps which affect the end quality is fermentation. Fermentation using a controlled fermentor might be useful because all of parameters which influence coffee quality can be controlled. The aim of this research is to evaluate performance of controlled fermentor for fermentation process of Arabica coffee beans. Main material of this research was ripe Arabica coffee cherries from Andungsari Research Station in Bondowoso district. Research parameters were temperature with four levels i.e.: ambient temperature, 30 o C, 35oC and 40oC, and fermentation time with three levels i.e.: 6 hours, 12 hours, and 18 hours. A horizontal type of modified fermentor has been tested with 20 kg/batch or 50% of maximum loading capacity. The result showed that an electric heater as energy source can raise temperature during fermentation process. Fermentation process using fermentor at 30-40 oC had not significant effect on physical properties change such as density, bean count per 100 g and distribution of beans. Optimum condition for Arabica fermentation process in a modified fermentor reactor was 25oC temperature, and 12 hours fermentation time. By this condition, green beans have good organoleptic score than other fermentation process treatments. Key words: Fermentor, fermentation, coffee, quality, organoleptic, horizontal cylinder.
Cross-Linked Enzyme Aggregate (CLEA) Preparation from Waste Activated Sludge

Enzymes are used extensively as industrial bio-catalysts in various manufacturing and processing sectors. However, commercial enzymes are expensive in part due to the high cost of the nutrient medium for the biomass culture. Activated sludge (AS) is a waste product of biological wastewater treatment and consists of microbial biomass that degrades organic matter by producing substantial quantities of hydrolytic enzymes. Recovering enzymes from AS therefore offers a potential alternative to conventional production techniques. A carrier-free, cross-linked enzyme aggregate (CLEA) was produced from crude AS enzyme extract for the first time. A major advantage of the CLEA is the combined immobilization, purification, and stabilization of the crude enzymes into a single step, thereby avoiding large amounts of inert carriers in the final enzyme product. The AS CLEA contained a variety of hydrolytic enzymes and demonstrated high potential for the bio-conversion of complex organic substrates.
Parameter Optimization of Reduced Fluid Model via Sparse Point Measurements

Model order reduction is a modeling method that can facilitate the analysis and the control synthesis of distributed parameter systems, which are governed by partial differential equations. Many techniques have been proposed to further improve the property of the reduced order model based on full state information, which is usually not available in practical applications. In this paper, a reduced-order modeling method based on sparse point measurements is proposed for the benchmark system of flow past a cylinder. This method involves solving the dynamic optimization problems online, whose objective functions measure the differences between the predicted and observed variables on each time horizon. In this method, the sensor placement is also discussed, and we determine the sensor locations depending on a model-free optimization technique. Several numerical examples of different scenarios are simulated not only to illustrate the effectiveness of the proposed method but also to verify the discussion on the sensor placement strategy.
Saturnian Low-Frequency Drifting Radio Bursts: Statistical Properties and Polarization

After Cassini’s arrival at planet Saturn, its Radio and Plasma Wave Science (RPWS) experiment has performed numerous observations of a new type of planetary radio emissions in the lower kHz frequency range (< 50kHz). These bursty emissions have time scales of a few to 15 minutes and occur as slowly drifting events in the time-frequency spectrogram. They have neither been detected by the Voyager spacecraft nor by Ulysses. As a first approach to this new phenomenon, results of a statistical study with regard to the observer’s position, i.e. Cassini’s orbital position, will be presented. Furthermore, aspects of polarization will be highlighted as far as appropriate goniopolarimetric (3-antenna) observations are available.
Distorsion of Isochromatic Fringes in the Process of Stress Measurement in Structural Part by Photoelasticimetry

Abstract In the article we show the possibility of distorting the results of the experiment by photoelasticity path, in case the isochromatic fringe patterns are recorded by the camera. The recording of the color spectrum may be distorted by inappropriate selection of the recording medium, which is reflected by different types of aberrations. Transferring a record to a computer allows you to automate the experiment process, thus saving time to work with isochromatic fringes. As an example, we present the experimental determination of the stresses of the rotor with a symmetrical arm. The analysis was performed using software developed by the authors. This software enables full automation of the experiment process. The rotor is investigated by the method of reflection photoelasticity. The experimental solution is realized as a case of periodically repeating dynamic effects, in which a stroboscopic source of white light is needed. The results of the experiment are compared with the numerical solution and their dependence is represented by diagram.
Clinical and Procedural Outcomes of IVUS-Guided vs. Angiography-Guided CTO-PCI: A Systematic Review and Meta-Analysis

Chronic total occlusions (CTO) in coronary angiographies present a significant challenge nowadays. Intravascular ultrasound (IVUS) is a valuable tool during CTO-PCI, aiding in planning and achieving procedural success. However, the impact of IVUS on clinical and procedural outcomes in CTO-PCI remains uncertain. This meta-analysis aimed to compare IVUS-guided and angiography-guided approaches in CTO-PCI. The study included five studies and 2320 patients with stable coronary artery disease (CAD) and CTO. The primary outcome of major adverse cardiac events (MACE) did not significantly differ between the groups (p = 0.40). Stent thrombosis was the only secondary clinical outcome that showed a significant difference, favoring the IVUS-guided approach (p = 0.01). Procedural outcomes revealed that IVUS-guided procedures had longer stents, larger diameters, and longer procedure and fluoroscopy times (p = 0.007, p < 0.001, p = 0.03, p = 0.002, respectively). Stent number and contrast volume did not significantly differ between the approaches (p = 0.88 and p = 0.33, respectively). In summary, routine IVUS use did not significantly improve clinical outcomes, except for reducing stent thrombosis. Decisions in CTO-PCI should be individualized based on patient characteristics and supported by a multi-parametric approach.