Miracle-dz/UniFAR-FTUs huggingface dataset:
Weak feature extraction of rolling element bearing based on self-adaptive blind de-convolution and enhanced envelope spectral

As the most commonly used support component in engineering, rolling element bearing is also the most prone-to-failure part. The vibration signal of faulty bearing will take on repetitive impact and modulation characteristics, and the two features are often difficult to be extracted by conventional fault feature extraction methods such as envelope spectral. The main reasons are due to the influence of strong background noise, the signal attenuation of the acquisition path, and the early weak failure characteristics. To solve the above problem, a weak fault feature extraction method of rolling element bearing by combing improved minimum entropy de-convolution with enhanced envelope spectral is proposed in the paper. The enhancement effect of improved minimum entropy de-convolution on impact features and the satisfactory extraction effect of EES on repetitive impact and modulation features are utilized comprehensively by the proposed method. Firstly, improved minimum entropy de-convolution is used to filter the vibration signal of faulty bearing to enhance the impact characteristics, and the influence of signal acquisition path on the attenuation of the signal characteristics is also weakened at the same time. Then, enhanced envelope spectral is performed on the filtered signal, and the repetitive impact and modulation characteristics of vibration signal are extracted synchronously. In order to solve the shortcomings of the current commonly used de-convolution methods, an improved minimum entropy de-convolution method based on D-norm is proposed, which can solve the interference caused by random impulsive signals effectively. In addition, compared with the conventional method such as envelope spectral, the enhanced envelope spectral method could extract the repetitive impact and modulation characteristics of the faulty signal simultaneously much more effectively. Effectiveness and superiority of the proposed method are verified through simulation, experiment, and engineering application.
Transcriptional Profiling of Early and Late Phases of Bovine Tuberculosis

Bovine tuberculosis, caused by Mycobacterium tuberculosis var. bovis (M. bovis), is an important enzootic disease affecting mainly cattle, worldwide. Despite the implementation of national campaigns to eliminate the disease, bovine tuberculosis remains recalcitrant to eradication in several countries. ABSTRACT Bovine tuberculosis, caused by Mycobacterium tuberculosis var. bovis (M. bovis), is an important enzootic disease affecting mainly cattle, worldwide. Despite the implementation of national campaigns to eliminate the disease, bovine tuberculosis remains recalcitrant to eradication in several countries. Characterizing the host response to M. bovis infection is crucial for understanding the immunopathogenesis of the disease and for developing better control strategies. To profile the host responses to M. bovis infection, we analyzed the transcriptome of whole blood cells collected from experimentally infected calves with a virulent strain of M. bovis using RNA transcriptome sequencing (RNAseq). Comparative analysis of calf transcriptomes at early (8 weeks) versus late (20 weeks) aerosol infection with M. bovis revealed a divergent and unique profile for each stage of infection. Notably, at the early time point, transcriptional upregulation was observed among several of the top-ranking canonical pathways involved in T-cell chemotaxis. At the late time point, enrichment in the cell mediated cytotoxicity (e.g., Granzyme B) was the predominant host response. These results showed significant change in bovine transcriptional profiles and identified networks of chemokine receptors and monocyte chemoattractant protein (CCL) coregulated genes that underline the host–mycobacterial interactions during progression of bovine tuberculosis in cattle. Further analysis of the transcriptomic profiles identified potential biomarker targets for early and late phases of tuberculosis in cattle. Overall, the identified profiles better characterized identified novel immunomodulatory mechanisms and provided a list of targets for further development of potential diagnostics for tuberculosis in cattle.
Vectorial finite‐element BPM scheme applied to the analysis of optical‐fiber couplers

An efficient finite‐element formulation for dielectric media with transverse anisotropy is applied to the analysis of optical‐fiber couplers. The fibers' cores are curved in parabolic shapes, and between the cores there are index‐matching liquid layers whose refractive index and width are taken as variable parameters. © 2004 Wiley Periodicals, Inc. Microwave Opt Technol Lett 41: 204–206, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20094
Urbanization affects oak–pathogen interactions across spatial scales

The world is rapidly urbanizing, thereby transforming natural landscapes and changing the abundance and distribution of organisms. However, insights into the effects of urbanization on species interactions, and plant–pathogen interactions in particular, are lacking. We investigated the effects of urbanization on powdery mildew infection on Quercus robur at continental and within-city scales. At the continental scale, we compared infection levels between urban and rural areas of different-sized cities in Europe, and investigated whether plant traits, climatic variables and CO 2 emissions mediated the effect of urbanization on infection levels. Within one large city (Stockholm, Sweden), we further explored whether local habitat features and spatial connectivity influenced infection levels during multiple years. At the continental scale, infection severity was consistently higher on trees in urban than rural areas, with some indication that temperature mediated this effect. Within Stockholm city, temperature had no effect, while local accumulation of leaf litter negatively affected powdery mil-dew incidence in one out of three years, and more connected trees had lower infection levels. This study is the first to describe the effects of urbanization on plant–pathogen interactions both within and among cities, and to uncover the potential mechanisms behind the observed patterns at each scale.
Service-Connected Disabilities and Suicide Attempts in Veterans: The Moderating Role of Mental Health Care Utilization

Abstract United States veteran suicide rates have increased over the past two decades. Designations of service-connected disabilities (designations tied to injury during military service) are also increasing, especially those associated with mental health disorders. However, recent research around disability and suicide in veterans is mixed, and no research has been completed on the association between disability and mental health service utilization. The current study hoped to fill these gaps in the literature with a secondary data analysis of a sample of 36,048 Veterans Healthcare Administration (VHA) veterans. Mental health disorders and demographics were controlled for in a logistic regression model predicting suicide attempt status by the intersection of service-connected disability and mental health care utilization. Mental health service visits moderated the positive relationship between service-connected disability designations and suicide attempts; those who utilized services were less likely to attempt suicide, especially those at higher service-connected disability designations with mental health disorders. The results suggest individuals who have disability designations that also seek help are less likely to make a suicide attempt. The study was limited by scope of the sample (only VHA veterans with service connected disabilities). Results have implications for preventative interventions in the VHA/Veterans Benefits Administration.
A useful simplification of the resistively shunted junction model of a Josephson weak-link

A simple circuit composed of conventional electrical elements is shown to be a good approximation to the resistively shunted junction model of a superconducting weak-link whenever the junction draws a time-average supercurrent which is a small fraction of its maximum value. This simplified model can be used to obtain well-known results concerning the behaviour of weak-links when connected to external circuits.
Evaluation for Retinal Therapy for RPE65 Variation Assessed in hiPSC Retinal Pigment Epithelial Cells

Human induced pluripotent stem cells (hiPSCs) generated from patients and the derivative retinal cells enable the investigation of pathological and novel variants in relevant cell populations. Biallelic pathogenic variants in RPE65 cause early-onset severe retinal dystrophy (EOSRD) or Leber congenital amaurosis (LCA). Increasingly, regulatory-approved in vivo RPE65 retinal gene replacement therapy is available for patients with these clinical features, but only if they have biallelic pathological variants and sufficient viable retinal cells. In our cohort of patients, we identified siblings with early-onset severe retinal degeneration where genomic studies revealed compound heterozygous variants in RPE65, one a known pathogenic missense variant and the other a novel synonymous variant of uncertain significance. The synonymous variant was suspected to affect RNA splicing. Since RPE65 is very poorly expressed in all tissues except the retinal pigment epithelium (RPE), we generated hiPSC-derived RPE cells from the parental carrier of the synonymous variant. Sequencing of RNA obtained from hiPSC-RPE cells demonstrated heterozygous skipping of RPE65 exon 2 and the introduction of a premature stop codon in the mRNA. Minigene studies confirmed the splicing aberration. Results from this study led to reclassification of the synonymous variant to a pathogenic variant, providing the affected patients with access to RPE65 gene replacement therapy.
Low-Complexity Precoding by Exploiting Spatial Sparsity in Massive MIMO Systems

A massive multi-input-multi-output (MIMO) system can bring substantial improvement in spectral and energy efficiency for wireless communication systems. The high array gain and fine spatial resolution allow the utilization of relatively simple processing at the base station, such as the near-optimal regularized zero-forcing (RZF) precoding. Nevertheless, such precoding schemes require computing the inverse and multiplication of matrices, which leads to a large burden for baseband processing when the system dimension grows large. To take full advantage of the spatial sparsity of massive MIMO channels in the finite scattering environment, we propose a virtual channel precoding strategy that directly utilizes the sparse virtual channel representation (VCR) in precoding. Furthermore, we develop a virtual channel RZF precoding algorithm based on the pre-conditioned conjugate gradient method, namely PCG-VC-RZF, which can directly use the sparse virtual channel matrix while avoiding the complex computation of the Gram matrix. The computational complexity and transmission delay are shown to be reduced tremendously by the proposed algorithm when operating in a large-dimension system. We further provide a beam selection strategy for improving the performance of the proposed approach under a complexity constraint. The simulation results verify the efficiency of the proposed precoding scheme.
Development of Active Packaging Based on Agar-Agar Incorporated with Bacteriocin of Lactobacillus sakei

In the search for new biodegradable materials and greater microbiological safety and stability of perishable food products, this study aimed to develop a bioplastic antibacterial film incorporating bacteriocin for application in commercial curd cheese and monitoring of microbiological stability. Films with good handling characteristics as well as physical, barrier, and mechanical properties were obtained. Regarding the antibacterial activity, the microbial reduction was demonstrated in a food matrix, obtaining a reduction of 3 logarithmic cycles for the group of coagulase positive staphylococci and from 1100 to <3.00 MPN/g in the analysis of thermotolerant coliforms. Therefore, the film presented food barrier characteristics with the external environment and adequate migration of the antibacterial compound to the product, contributing to the reduction of contamination of a food with high initial microbial load.
DSO BASED DATA AGGERGATION AND EFFICIENT UTILIZATION OF RESIDUAL ENERGY IN WSN

The proposed paper introduces a novel technique of biologically inspired approach using echolation pattern of dolphin as well as its cognitive behavior for optimizing the cumulative lifetime of wireless sensor network. The area of WSN is witnessing an ongoing issues and corresponding researches to solve the energy issue are on the move, but unfortunately the benchmarked work done addressing energy or the battery lifetime of the WSN is yet to be found in literature. We highlight the benefit of the swimming behavior of dolphin pods and its echolation technique used to find the spatial correlation from the object and apply it to the large scale WSN. Experiment being performed on Matlab and the results were compared with frequently used LEACH protocol to found that proposed system has outperformed LEACH with respect to instance of first node death, residual power, and cumulative energy lifetime.
Comparison of Phototoxicity Sensitivity by the Neutral Red Uptake Method for BALB/c 3T3, HaCaT, and HDFa Cells In Vitro

Phototoxicity is an acute photoinduced reaction. The 3T3 neutral red uptake (NRU) phototoxicity test has high sensitivity for the determination of phototoxic substances. To further optimize the method, this study mainly focused on comparing the phototoxicity sensitivity by using the NRU method for BALB/c 3T3, HaCaT, and HDFa cells in vitro. The NRU method was used to evaluate the phototoxicity of chlorpromazine hydrochloride (CPZ), amiodarone hydrochloride (Amiodar), and L-histidine (L-His) on BALB/c 3T3 cells, HaCaT cells, and HDFa cells. The sensitivity of different cells to ultraviolet (UVA) irradiation in vitro was studied. L-His showed no phototoxicity, but the phototoxicity of CPZ and Amiodar showed different sensitivities among the three kinds of cells. The in vitro phototoxicity evaluation of HaCaT cells is closer to that of primary human fibroblasts. This study provides a reference for cell line selection to optimize the existing in vitro evaluation method of 3T3 NRU phototoxicity.
Medium PRF set selection: an approach through combinatorics

Modern fighter aircraft use a host of different techniques to search for and detect airborne targets. One such technique involves the use of pulse Doppler and a collection of 'medium' pulse repetition frequencies (PRFs). Such a collection of medium PRFs is ambiguous in both range and velocity (Doppler frequency), but can be resolved by correlating data from different members of the set. The PRF set selection is complex, restricted by the particular radar system and its intended use. After briefly discussing constraints, some results concerning ghost minimisation, and the linearity of clear region probabilities, an efficient method is presented for calculating PRF set quality. A discussion of the mathematical (in particular combinatorial) niceties which attend the solution of this problem is included. >
Automated keys to soil orders based on rule engine

Rule engine technique which is firstly used in business realm because of the quickly changing business environment can be a good solution to the management of geographic knowledge. The objective of this paper is to research how to organize geographic knowledge and reason with rule engine. The rules of Keys to Chinese Soil Taxonomy (3rd edition) are taken as an example of geographic knowledge. The researching results are as follows: (1) Through the review of literature and web resources, we know the advancement of rule engine technique, and finally select NxBRE as the rule engine we use; (2) The rules of keys to Soil Orders are analyzed, and represented in the form of RuleML; (3) Rule customization module and RuleML parsing module are developed; (4) Knowledge base which consists of RuleML files is created with rule customization module, and we finally achieve the goal of automated keys to Soil Orders with NxBRE.
A one‐stop shop model for improved efficiency of pre‐exposure prophylaxis delivery in public clinics in western Kenya: a mixed methods implementation science study

In public clinics in Kenya, separate, sequential delivery of the component services of pre‐exposure prophylaxis (PrEP) (e.g. HIV testing, counselling, and dispensing) creates long wait times that hinder clients’ ability and desire to access and continue PrEP. We conducted a mixed methods study in four public clinics in western Kenya to identify strategies for operationalizing a one‐stop shop (OSS) model and evaluate whether this model could improve client wait time and care acceptability among clients and providers without negatively impacting uptake or continuation.
Rain Barrel Owners as a Piece of the Water Conservation Puzzle: Segmenting Extension Audiences Using Their Landscape Water Conservation Practices

Rain barrel owners may represent a target audience with whom Extension agents could engage in specific ways. The study reported here identifies unique attributes of rain barrel owners and may help develop programming to decrease residential water use. Clientele of a county Extension agent were surveyed about landscaping and water conservation efforts. Rain barrel owners reported performing significantly more water conservation behaviors, both outdoors and indoors, than those without a rain barrel. We conclude rain barrel ownership is related to additional water conservation behaviors in this audience. Implications for Extension programming, delivery strategy, and future research are discussed.
ATC calculation with steady-state security constraints using Benders decomposition

Available transfer capability (ATC) is an important indicator of the usable amount of transmission capacity accessible by assorted parties for commercial trading. ATC calculation is nontrivial when steady-state security constraints are included. In this paper, Benders decomposition method is proposed to partition the ATC problem with state-steady security constraints into a base case master problem and a series of subproblems relevant to various contingencies to include their impacts on ATC. The mathematical model is formulated and the two solution schemes are presented. Computer testing on the 4-bus system and IEEE 30-bus system shows the effectiveness of the proposed method and the solution schemes.
Addressing the Read-Performance Impact of Reconfigurations in Replicated Key-Value Stores

Raw data are often orders of magnitude larger than main memory for many applications. As the performance of storage devices is still significantly slower than main memory, systems still rely on memory caching to improve performance. Data replication schemes are prevalent in data stores for high availability and reliability. In such schemes, while data updates are propagated to all replicas (either synchronously or in the background), reads are usually served by only a subset of replica group members (e.g., as in primary-backup and quorum systems). As a result, non-serving replicas cannot keep their memory cache state updated; thus, during a reconfiguration or a fail-over action, the system suffers from a high read-performance impact for a significant amount of time due to cold-cache misses. In our study we observed up to 70% hit after a reconfiguration due to cold cache misses, taking almost 18 minutes in some cases to fully restore to the pre-reconfiguration level of performance. In this article we propose a mechanism to maintain up-to-date read caches across replicas by sending read hints to the non-serving replicas to keep their caches warm. Thus the system is able to seamlessly achieve the same performance level even in the face of a replica group reorganization. This is especially important under the read-intensive workloads that are common today. Our evaluation shows that our mechanism has significant benefits during reconfigurations, with low performance impact under periods of resource strain. Given its advisory nature, the maintenance of read hints can be reduced or held off if needed during such periods.
Planning and Operation of Large-Scale Water Distribution System with Hedging Rules

One of the most critical problems that all megacities (cities with more than 10 million people) face today is the shortage of water supply. Finding a solution to this problem presents a great challenge to hydrologists, urban planners and environmentalists. This paper describes the development of an optimization model for planning and operation of a large-scale water supply distribution system. An important characteristic of the model is that it considers the hedging rules during a dry period when water supply is insufficient to meet the planned demand and water shortage occurs. The water distribution system is formulated as a network flow model in terms of nodes and links and solved by the GAMS language, which has access to several linear and nonlinear algorithms. A user friendly interface is developed to facilitate the manipulation of a large amount of data and to generate graphs and tables for analysis for decision makers. The developed methodology has been implemented for the Sao Paulo Metropolitan Area Water Distribution System that supplies water to 18 million people. Some preliminary results obtained show good performance of the model.
Identification of Coupled Mode Shapes Based on Complex Mode Indicator Function

Paper deals with the identification of coupled mode shapes by experimental modal analysis. Main attention is focused on the using of Complex Mode Indicator Function that is based on singular value decomposition of frequency response function matrix and allows to separate coupled and also closed modes. In the paper there is described experimental modal analysis at which digital image correlation method is used to measure responses of a circular plate. The measurement was evaluated in program Modan 3D that is being developed by the authors.
MEMS devices for the future wireless applications

In this communication, we will outline the potentialities offered by the MEMS technologies to realize front end modules featuring attractive performances in term of noise, linearity, power consumption and compactness. Bulk micromachining techniques are used to achieve very low loss interconnects up to millimeterwave range when surface micromachining techniques are preferred to realize moveable devices. The association of bulk and surface micromachining allows to realize advanced millimeterwave microsystems. Concerning the design methods, both electromagnetic, electrical and mechanical simulation are mandatory to get accurate results.
Unit commitment literature synopsis

Several optimization techniques have been applied to the solution of the thermal unit commitment problem. They range from heuristics such as complete enumeration to the more sophisticated ones such as Augmented LaGrangian. The heuristics have even reappeared as expert systems. The problem to solve is the optimal scheduling of generating units over a short-term horizon, typically 168 hours. This paper is an overview of the literature in the unit commitment field over the past twenty five years. >