Miracle-dz/UniFAR-FTUs huggingface dataset:
Probabilistic Transfer Factor Analysis for Machinery Autonomous Diagnosis Cross Various Operating Conditions

The variability of machinery fault signatures causes the data samples to follow different distributions under various operating conditions, which poses significant challenges on autonomous diagnosis based on machine learning techniques. This article presents a new transfer learning method for cross-domain feature learning by mitigating the domain difference caused by various operating conditions for machinery autonomous diagnosis. More specifically, a factor analysis (FA)-based transfer learning method is formulated and named as probabilistic transfer FA (PTFA). It seeks a new feature space across different domains corresponding to various operating conditions and then transfers the original features into a low-dimensional latent space via feature extraction to minimize domain difference and preserve data properties. The learned features by PTFA minimize the domain difference and are then used to construct the machinery autonomous diagnosis model based on machine learning techniques [e.g., support vector machine (SVM)]. The effectiveness of the PTFA method is demonstrated in the experimental tests for a gearbox diagnosis under various operating conditions comparing with traditional feature extraction and transfer learning techniques.
Solving convex optimization problems on FPGA using OpenCL

The application of accelerators in HPC applications has seen enormous growth in the last decade. In the field of HPC demands on throughput are steadily growing. Not all of the algorithms used have a clear HW architecture which performs the best. Our work explores the performance of different HW architectures in solving a convex optimization problem. These algorithms are a sequence of dependent operations making it an interesting use-case because parallelism is not easily found. Our work focuses on a use-case of an on machine computational model present in ASML, we explore the acceleration of a quadratic programming Active-Set algorithm on dedicated hardware. There are libraries available to do this on both the CPU and GPU, while nothing is available for the FPGA. Our work focuses on filling this gap by implementing the algorithm using a high-level abstraction parallel programming language in order to ease development for FPGA accelerators. We use the Intel FPGA SDK for OpenCL framework to evaluate the performance trade-offs involved with FPGA acceleration and compare the performance to both the CPU and GPU using library functions. To fit FPGA architecture the algorithm is converted to a dataflow algorithm to enable streaming of data between kernels. The implementation leverages the features introduced in the Intel FPGA SDK for OpenCL framework to stream data using on-chip low-latency communication between kernels. We demonstrate that such a complicated algorithm can efficiently be implemented using the OpenCL framework. Our implementation achieves competitive performance compared to optimized library function on both the CPU and GPU. The OpenCL framework allows for easy design space exploration. We have explored different optimization strategies. The execution time of the final FPGA implementation is 3.5x and 1.2x longer than the CPU and GPU respectively in double precision floating-point. If the accuracy of the FPGA implementation is reduced to single precision there is a speedup of 2.2x in execution time compared to the double precision variant. Higher throughput can be achieved by duplicating the implementation. With the current size of the algorithm, two additional copies are possible. A handcrafted implementation could further improve the FPGA performance by manually managing local memory structures and reusing processing elements. However, significantly fewer lines of code are required, and a significant reduction in development time is achieved by using the OpenCL framework compared to traditional hardware description languages.
Effects of Regular Moderate Exercise on Arterial Stiffness and PTX3 Protein and Some Cardiac Parameters

Abstract This study intends to show some of the effects of long-term and regular moderate exercise on arterial stiffness, Pentraxin 3 (PTX3) levels and some cardiac parameters in individuals of middle and advanced age. Twenty mountaineers and twenty sedentary individuals were subjects of this study. Each mountaineer and the individuals in the control group were measured for lipid profile, complete blood count, and underwent echocardiography, and exercise stress test. Central and peripheral pulse wave velocity was measured. The plasma Pentraxin 3 protein was assayed. Metabolic equivalent and PTX3 levels were found to be significantly higher in mountaineers, compared to the sedentary group. Femoral-ankle pulse wave velocity, carotid-femoral pulse wave velocity, left ventricular end-systolic diameter and the neutrophil to lymphocyte ratio were found to be significantly lower in mountaineers, compared to the sedentary group (p<0.05). Long-term and regular, moderate exercise significantly decreases indicators of systemic inflammation and arterial stiffness.
Determination of perfluoroalkyl carboxylic acids in environmental water samples by dispersive liquid–liquid microextraction with GC-MS analysis

Abstract The present study focused on developing a rapid, efficient, and eco-friendly method for the analysis of perfluoroalkyl carboxylic acids (PFCAs) in aqueous matrices. The proposed method was based on esterification of PFCAs by isobutyl chloroformate followed by dispersive liquid–liquid microextraction (DLLME) of the derivatives. Quantitation of the isobutyl esters of PFCAs was carried out by gas chromatography-mass spectrometry with electron ionization. Under the optimal conditions, PFCAs could be determined in linear ranges of 1–1000 ng mL−1 with good correlation coefficients (r > 0.991). The limits of detection and limits of quantification ranged from 0.9 − 3.0 ng mL−1 and 2.7 − 9.0 ng mL−1, respectively. The method showed satisfactory reproducibility with intra-day and inter-day relative standard deviations (RSDs) in the range of 3.4 − 14.6% and 3.5 − 17.2%, respectively. It was successfully applied to determine PFCAs in several river and lake waters, ranging from 8.47 to 150.14 ng mL−1. Graphical Abstract
Host “cleansing zone” at secondary contact: a new pattern in host-parasite population genetics

We introduce a new pattern of population genetic structure in a host-parasite system that can arise after secondary contact (SC) of previously isolated populations. Due to different generation time and therefore different tempo of molecular evolution the host and parasite populations reach different degrees of genetic differentiation during their separation (e.g. in refugia). Consequently, during the SC the host populations are able to re-establish a single panmictic population across the whole recolonized area, while the parasite populations stop their dispersal at the SC zone and create a narrow hybrid zone (HZ). From the host’s perspective, the parasite’s HZ functions on a microevolutionary scale as a “host-cleansing filter”: while passing from area A to area B, the hosts are rid of the area A parasites and acquire the area B parasites. We demonstrate this novel pattern on a model composed of Apodemus mice and Polyplax lice by comparing maternally inherited markers (complete mitochondrial genomes, and complete genomes of vertically transmitted symbiont Legionella polyplacis) with SNPs derived from the louse genomic data. We discuss circumstances which may lead to this pattern and possible reasons why it has been overlooked in the studies on host-parasite population genetics.
Detailed ECG analysis in type 2 diabetes mellitus: a predictor of multitude of complications

Background: Type 2 diabetes mellitus is a systemic disease with life-threatening complications and morbidity. The 12 lead ECG, an easily available investigation, when studied in detail can give a lot of information and predict various microvascular and macrovascular complications apart from coronary artery disease. Methods: A random cross sectional study involving 100 patients of type 2 diabetes mellitus, in the age group of 1880 years were included in study after applying various inclusion and exclusion criteria. They were subjected to ECG, 2D echocardiography and laboratory tests. Data were collected and analysed. Results: Arrythmia was not detected in any patient. A resting tachycardia (HR >100) in 30 patients correlated with Prolonged QTc (>440 miliseconds) (p=0.04). QRS amplitude was reduced in 26 patients. Prolonged QTc also correlated with presence of diabetic complications, retinopathy of NPDR type and nephropathy (p=0.004). Hence about 30% of the study group did show signs of early diabetic cardiac autonomic neuropathy and cardiomyopathy. Conclusions: The statistically significant utility of electrocardiogram in predicting various complications of diabetes apart from coronary artery disease.
Equivalent detector models for the simulation of efficiency response of an HPGe detector with PENELOPE code

ABSTRACT In this work, some ‘equivalent’ models for the simulation of efficiency response of a High-Purity Germanium (HPGe) detector, installed inside a ‘low background’ bunker in the Engineering Department of the University of Palermo, were developed. The main feature was to attribute the uncertainties of the model to only one of the parameters, the dead layer of the detector, keeping unchanged the other data provided by the manufacturer. With this technique, using the Monte Carlo PENELOPE code in the 2011 version, the efficiency response was evaluated and compared with the previous one performed with MCNP5 code. The validation of equivalent models is performed by comparing the simulation results with that of experimental spectrometric measurements of calibrated point sources and characterized volumetric sources such as a Marinelli beaker and an air filter reduced to a ‘packet-sample’. The use of equivalent models makes the evaluation of efficiency curves with a Monte Carlo code easier and faster, and requires only a few experimental values for validation.
Crystal structure of Senecavirus A 3C protease

Senecavirus A (SVA), an emerging picornavirus in porcine population, could infect porcines of all age group and cause FMD-like symptoms. Picornaviridae, a group of RNA viruses do harm to both human and stocks; however, most of picornaviruses are lack of effective vaccines and drugs. Picornaviral 3C protease (3Cpro), as an important role in virus maturation, they basically take charge of poly-protein cleavaging, RNA replication, and multiple interventions on host cells. In this study, we successfully solved the crystal structure of 3Cpro at 1.9 Å resolution. The results showed several differences of the binding groove within picornaviral 3Cpro, and prompted that the accommodate ability of the pocket may associate with the cleavage efficiency. The further research on 3Cpro cleavage efficiency based on structural biology, will prospectively provide an instruction on designing of efficient 3Cpro for universally proteolysis in picornaviral VLP production.
A comprehensive, genus-level time-calibrated phylogeny of the tree flora of Mediterranean Europe and an assessment of its vulnerability

ABSTRACT We produced the first time-calibrated phylogeny of all 64 native tree genera occurring on the European side of the Mediterranean Basin. This phylogeny is based on 3 plastid DNA sequences (rbcL matK and trnH-psbA), 4 recognized fossil dates and 10 secondary calibrations. Based on the inferred topology, we then tested whether the investigated tree flora exhibits phylogenetic clustering in both life-history traits known to influence reproduction and species’ vulnerability to extinction. Our topology and the estimated dates mostly conform to published partial phylogenies and are highly congruent with the Angiosperm Phylogeny Group classification except for some minor incongruences including the still debated phylogenetic position of Magnoliids. The four strictly endemic genera of the Mediterranean Basin (Chamaerops, Phillyrea, Spartium and Tetraclinis) all showed emergence dates (11–72 Ma) long before the onset of the Mediterranean climate. We did not find any imprints of phylogenetic sorting processes on the life-history traits we studied, except for the mode of seed dispersal, which showed a clustered distribution across our topology. The presence of species at risk of potential extinction within a given genus was randomly distributed along the phylogenetic tree. Species with deficient data were significantly nested within a few of the most recently evolved angiosperm genera. Our analysis closes knowledge gaps and provides a valuable basis for studying the biogeographical and ecological processes that have generated the Mediterranean tree flora. It can also inform conservation planning strategies that aim at broadening traditional taxonomy-focused perspectives with components of evolutionary history and phylogenetic singularity.
Meta-Analysis of the Impact of Reading Interventions for Students in the Primary Grades

Abstract This meta-analysis systematically reviewed the most up-to-date literature to determine the effectiveness of reading interventions on measures of word and pseudoword reading, reading comprehension, and passage fluency, and to determine the role intervention and study variables play in moderating the impacts for students at risk for reading difficulties in Grades 1–3. We used random-effects meta-regression models with robust variance estimates to summarize overall effects and to explore potential moderator effects. Results from a total of 33 rigorous experimental and quasi-experimental studies conducted between 2002 and 2017 that met WWC evidence standards revealed a significant positive effect for reading interventions on reading outcomes, with a mean effect size of 0.39 (SE = .04, p < .001, 95% CI [0.32, 0.46]). Moderator analyses demonstrated that mean effects varied across outcome domains and areas of instruction.
Modelling and Prediction of Mobile Service Channel Power Density for RF Energy Harvesting

Ambient radio frequency (RF) energy harvesting could provide power for perpetual battery-less operation without placement constrain. Nonetheless, the highly varying power levels of ambient RF channels often keep harvesting circuits working with low efficiency. To design optimal RF energy harvesters with high efficiency, it is critical to model and predict the channel power density. In this letter, we derived a statistic model based on kernel density estimation for the power density of mobile service channels. This model matches well with the measurement results. We have also developed a power density prediction method for mobile service channels based on the moving average. It enables accurate and effective prediction. The prediction method is simple for implementation in hardware.
AN ANALYSIS OF MATERNAL-FETAL ATTACHMENT LEVEL IN PREGNANT WOMEN

This study aims to analyse maternal-fetal attachment levels of pregnant women. The population of the descriptive study consists of pregnant women who consulted Non Stress Test Policlinic of a private hospital and the sample consists of 101 pregnant women who participated in the study willingly. Confirmation of the ethics committee, permission of the institutions and verbal informed consent were obtained. The data were collected via “Questionnaire Form” and “Prenatal Attachment Inventory” with face-to-face interviews and were analyzed on IBM SPSS Statistics version 20. Number, percentage, arithmetic average, independent t test and Pearson Correlation Coefficient were used in the analysis. It was found that the average age for pregnant women was 28,20±4,954, average duration of marriage was 4.67±4.157, average number of pregnancy was 1,82±1,07, average number of delivery was 0,73±0,989, average pregnancy week was 35,88±2,380. It was indicated that 69.3% of the pregnant women were 30 years old and younger, 44.6% had education at university level or higher, 64.4% were not working, 74.3% had good financial status, 92.1% had nuclear family, 94.1% had planned their pregnancy, 74.3% did not experience problems during pregnancy, 61.4% were examined 5 times or more during pregnancy. No statistically significant difference was found between average scores for Prenatal Attachment Inventory of pregnant women and their age, education level, work status, financial status, family type, frequency of health checks, problems experienced during pregnancy and planning of the pregnancy (p>0.05). A weak, positive correlation was found between average scores for prenatal attachment inventory of pregnant women and the number of delivery (p<0.05). The data suggest that the attachment level between mother and fetus is strong in pregnancy; however, significant difference was not found between variables related to mother and average scores for prenatal attachment inventory. A weak, positive correlation was found between average scores for prenatal attachment inventory of pregnant women and the number of delivery (p<0.05). Article DOI: https://dx.doi. org/10.20319/lijhls.2017. 32.7787 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
Paradigm shift and challenges in IoT security

All Our world is experiencing major technological changes and this time it is cantered not on internet but Internet of Things. Actually, Internet of Things is sincere effort to connect all unconnected especially smart objects by doing so human wants to challenge their own way of thinking that shouldn’t all objects be connected to one central network and among themselves so that as human we can control them all. So, paradigm is let us provide capability of objects to exhibit the ability to communicate to each other as well to one central system thus to human beings. This effort would certainly bring new improvements and efficiency in our lives. It is this very premise behind Internet of Things (IoT) that would see new transformation and revolution in industrial world from manufacturing, logistics and supply chain in current industrial world of 4.0 and future newer versions. Over last few decades Information Technology (IT) has been witnessing strong and active cyberattacks and creating protection threats to the cyber security networks. Information Technology industry has learnt lot from these threats and have also documented them to find right and appropriate solutions. In contrast Operational Technology environment surrounding Information Technology were kept in abeyance in many organizations. Thus one hardly finds history and documentation of cyberattacks systems built around operational technology. This also makes fewer learning opportunities and record of catalogued incidents and their corresponding risk mitigation strategy not rich in record. It is worth knowing that the world of operational technology addresses wider scope and higher depth in comparison to Information technology. In Operational Technology the word security and safety are synonymous with each other. It is reality that many of the industrial security standard also incorporate equipment, instruments and safety recommendation by experts thus lay the foundation of IoT security. This paper provides a historical perspective of Operational Technology security, the security system measure, how over a period of last few decades the subject matter has evolved, what are few of the real challenges industry is facing. The final phase of paper focuses on some of the real practical measures and steps have been to taken to in creating more safe and secure industrial environment including best practices in creating synergy between Information Technology networks security and old aged legacy industrial environments.
Phytotherapeutics of polyphenolic-loaded drug delivery systems: A review

Phytopharmaceuticals stand out as recent promising candidates for the treatment of chronic diseases. Nanotechnology has become an important part of pharmaceutical industry, since it involves the development of novel drug delivery systems (nanomedicines) for the benefit of human health. The usefulness of nanotechnology has also been extended to natural products where, number of efforts is made for improvisation of bioavailability and therapeutic potential of polyphenolic compounds. A variety of novel drug delivery systems have been developed for polyphenolic compounds to enhance the relative bioavailability. The developed formulations have also shown sustain or prolonged release properties and also target delivery as evidenced by in-vitro and in-vivo studies. The novel formulations of Quercetin, Green tea catechins, epigallocatechin gallate, Genistein, Resveratrol, Breviscapine and Scutellarin etc. have been prepared by novel techniques and found to increase the therapeutic efficacy against various diseases. The present review focuses on various novel formulations developed for polyphenolic compounds including their therapeutic applications.
Reduced avian body condition due to global warming has little reproductive or population consequences

Climate change has strong effects on traits such as phenology and physiology. Studies typically assume that climate‐induced trait changes will have consequences for population dynamics, but explicit tests are rare. Body condition reflects energy storage and may directly affect how much can be invested in reproduction and survival. However, the causal pathway by which decreased body condition impacts population dynamics has never been quantified across multiple populations and species. Therefore, we lack a general understanding of the consequences of changes in condition for variables more relevant for conservation, such as population size. Using structural equation modeling, we investigate how temperature‐induced changes in body condition affect reproduction, and the subsequent impact on population growth rates of 19 bird species across 80 Dutch sites over a 21‐year period. Warmer temperatures were associated with decreased body condition, which led to both decreased and increased reproduction at different sites, cancelling out any overall effect. The indirect effect of temperature on population growth (via body condition and reproduction) only explained within‐species variation in the total effects of temperature on population growth. Instead, the direct effect of temperature on population growth (unrelated to condition and reproduction) was the most important pathway underlying the total effects of temperature on population growth, suggesting that unknown variables are mediating this effect. About half of the species are expected to increase under global warming, but this variation was not associated with any species characteristic. Overall, body condition responses to global warming are common, but their consequences on reproduction and subsequently population growth contribute relatively little to the total temperature impacts on population dynamics. Given that warming temperatures have strong effects on population dynamics, understanding the pathways via which temperature impacts population dynamics will be crucial for our ability to predict climate change effects in the future and improve conservation efforts.