Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault Diagnosis of an Industrial Machine through Sensor Fusion

In this paper, a four layer neuro-fuzzy architecture of multi-sensor fusion is developed for a fault diagnosis system which is applied to an industrial fish cutting machine. An important characteristic of the fault diagnosis approach developed in this paper is to make an accurate decision of the machine condition by fusing information acquired from three types of sensors: Accelerometer, microphone and charge-coupled device (CCD) camera. Feature vectors for vibration and sound signals from their fast Fourier transform (FFT) frequency spectra are defined and extracted from the acquired information. A feature-based vision method is applied for object tracking in the machine, to detect and track the fish moving on the conveyor. A four-layer neural network including a fuzzy hidden layer is developed in the paper to analyze and diagnose existing faults. Feature vectors of vibration, sound and vision are provided as inputs to the neuro-fuzzy network for fault detection and diagnosis. By proper training of the neural network using data samples for typical faults, six crucial faults in the fish cutting machine are detected with high reliability and robustness. On this basis, not only the condition of the machine can be determined for possible retuning and maintenance, but also alarms to warn about impending faults may be generated during the machine operation.
Low complexity power allocation in multiple-antenna relay networks

In this paper we study a two-hop cooperative communication system to enhance system coverage and data rates for the uplink in a cellular network. The throughput maximization is formulated into a convex optimization problem. A suboptimal numerical algorithm to approach the maximum sum capacity based on the decode and forward scheme is proposed and the numerical algorithm has an iterative implementation with fast convergence. The performance is close to the min-cut max flow (MCMF) bound. The proposed scheme is compared with two other cooperative schemes and shows significant performance gain.
Mitochondrial ROS‐induced ERK1/2 activation and HSF2‐mediated AT1R upregulation are required for doxorubicin‐induced cardiotoxicity

Doxorubicin (DOX), one useful chemotherapeutic agent, is limited in clinical use because of its serious cardiotoxicity. Growing evidence suggests that angiotensin receptor blockers (ARBs) have cardioprotective effects in DOX‐induced cardiomyopathy. However, the detailed mechanisms underlying the action of ARBs on the prevention of DOX‐induced cardiomyocyte cell death have yet to be investigated. Our results showed that angiotensin II receptor type I (AT1R) plays a critical role in DOX‐induced cardiomyocyte apoptosis. We found that MAPK signaling pathways, especially ERK1/2, participated in modulating AT1R gene expression through DOX‐induced mitochondrial ROS release. These results showed that several potential heat shock binding elements (HSE), which can be recognized by heat shock factors (HSFs), located at the AT1R promoter region. HSF2 markedly translocated from the cytoplasm to the nucleus when cardiomyocytes were damaged by DOX. Furthermore, the DNA binding activity of HSF2 was enhanced by DOX via deSUMOylation. Overexpression of HSF2 enhanced DOX‐induced cardiomyocyte cell death as well. Taken together, we found that DOX induced mitochondrial ROS release to activate ERK‐mediated HSF2 nuclear translocation and AT1R upregulation causing DOX‐damaged heart failure in vitro and in vivo.
Amino acid sequence analysis of the lipoyl and peripheral subunit-binding domains in the lipoate acetyltransferase component of the pyruvate dehydrogenase complex from Bacillus stearothermophilus.

The pyruvate dehydrogenase multienzyme complex from Bacillus stearothermophilus comprises a structural core, composed of 60 dihydrolipoamide acetyltransferase (E2p) subunits, which binds multiple copies of pyruvate decarboxylase (E1p) and dihydrolipoamide dehydrogenase (E3) subunits. After limited proteolysis with chymotrypsin, the N-terminal lipoyl domain of E2p was excised, purified and sequenced. The residual complex, which remained assembled, was then digested with trypsin under mild conditions. This treatment promoted complete disassembly of the complex and the various components were separated by gel filtration and h.p.l.c. A folded fragment of E2p containing about 50 amino acid residues was identified as being responsible for binding the E3 subunits, although, unlike the corresponding region of the E2p or E2o chains of the pyruvate dehydrogenase or 2-oxoglutarate dehydrogenase complexes from Escherichia coli, the fragment also bound E1p molecules. Further peptide purification and sequence analysis allowed the determination of the first 211 amino acid residues of the B. stearothermophilus E2p chain, thus providing the complete primary structure of the lipoyl domain, the E1p/E3-binding domain and the regions of polypeptide chain, probably highly flexible in nature, that link the domains to each other and to the inner-core (E2p-binding) domain. Several of the proteolytically sensitive sites were also identified. The sequence of the B. stearothermophilus E2p chain shows close homology with the sequences of the E2p and E2o chains from E. coli, although significant differences in structure are apparent. Detailed evidence for the sequence of the peptides obtained by limited proteolysis and further chemical and enzymic cleavages have been deposited as Supplementary Publication SUP 50142 (11 pages) at the British Library Lending Division, Boston Spa, Wetherby, West Yorkshire LS23 6BQ, U.K., from whom copies may be obtained as indicated in Biochem. J. (1988) 249, 5.
Autoinducer 2 Production by Streptococcusgordonii DL1 and the Biofilm Phenotype of a luxS Mutant Are Influenced by Nutritional Conditions

ABSTRACT The luxS gene, present in many bacterial genera, encodes the autoinducer 2 (AI-2) synthase. AI-2 has been implicated in bacterial signaling, and this study investigated its role in biofilm formation by Streptococcusgordonii, an organism that colonizes human tooth enamel within the first few hours after professional cleaning. Northern blotting and primer extension analyses revealed that S. gordoniiluxS is monocistronic. AI-2 production was dependent on nutritional conditions, and maximum AI-2 induction was detected when S. gordonii was grown in the presence of serum and carbonate. In planktonic cultures, AI-2 production rose sharply during the transition from exponential to stationary phase, and the AI-2 concentration peaked approximately 4 h into stationary phase. An S. gordoniiluxS mutant that did not produce AI-2 was constructed by homologous recombination. Complementation of the mutant by insertion of an intact luxS gene into the chromosome in tandem with the disrupted gene restored AI-2 production to a level similar to that of the wild-type strain. In planktonic culture, no growth differences were observed between the mutant and wild-type strains when five different media were used. However, when grown for 4 h as biofilms in 25% human saliva under flow, the luxS mutant formed tall microcolonies that differed from those formed by the wild-type and complemented mutant strains. Biofilms of the luxS mutant exhibited finger-like projections of cells that extended into the flow cell lumen. Thus, the inability to produce AI-2 is associated with altered microcolony architecture within S. gordonii biofilms formed in saliva during a time frame consistent with initial colonization of freshly cleaned enamel surfaces.
Optimization of energy expenditure in smart homes under time-of-use pricing

Growing peak demand has necessitated the introduction of Time-of-Use (TOU) pricing to Demand Side Management (DSM) in order to cause some peak demand to be shifted from peak to off-peak periods. Therefore, in this work, a Daily Maximum Energy Scheduling (DMES) - DSM technique is proposed. The DMES-DSM device is proposed to be installed into consumers' smart meters and schedule energy consumption for smart appliances. The DMES-DSM technique was verified with real household data and shown to be capable of optimizing households' monthly energy expenditure below approved national energy expenditure threshold and also offer Peak Demand Reduction (PDR). It offered the household considered an average monthly financial savings of 22.44% and 36.73% in summer and winter respectively on electricity bills. Utility can also benefit from the PDR for grid stability and sustainability. Also, the optimized consumption pattern differs only slightly from initial consumption pattern for enhanced consumer satisfaction.
Experiment Design for Parameter Estimation in Probabilistic Sensing Models

In this paper, the problem of quality improvement for sensing models in various applications is considered. A choice of sensing model strongly influences the design of wireless sensor networks and the performance of protocols, such as traffic aggregation, broadcasting, energy-efficient routing, target or barrier coverage, and so on. For these reasons, it is useful to investigate the nature of the sensing ability and the manner in which it depends on the characteristics of wireless sensor networks. This paper investigates the impact of experiment design on the evaluation of sensing quality function. This paper provides an approach to a statistically efficient estimation of sensing model parameters.
Investigation of Current Transport in  $2\times 2$  Wire Array Plasmas

Here, we present an experimental and computational study using planar wire arrays to examine the transport of magnetic fields in wire array plasmas. Two groups of wires are placed adjacent to each other at a fixed distance, while the local spacing between the wires is varied. Experimental results employing the electrical B-dot probes are compared with the simulations performed with the numerical results from the resistive MHD code, Gorgon, and show that the magnetic field generated by each pair of wires determines the amount of current advected with the plasma flow to the central axis.
Public-Key Cryptography Standards (PKCS) #1: RSA Cryptography Specifications Version 2.1

This memo represents a republication of PKCS #1 v2.1 from RSA Laboratories' Public-Key Cryptography Standards (PKCS) series, and change control is retained within the PKCS process. The body of this document is taken directly from the PKCS #1 v2.1 document, with certain corrections made during the publication process.
Postmastectomy Chest Wall Radiation with Electron‐Beam Therapy: Outcomes and Complications at the University of Louisville

PURPOSEPostmastectomy chest wall radiation therapy using electron-beam therapy has been reported to increase lung radiation dose and the potential for pneumonitis. These reports describe treatment with varying energy electron beams prescribed to the breast/chest wall junction. Because the tissue at risk includes dermal lymphatics and subcutaneous tissues, low-energy electron beams may reduce lung radiation dose and the incidence of pneumonitis yet preserve good local control. At the University of Louisville, patients who have undergone mastectomy are treated with 6-MeV electron beam and bolus. PATIENTS AND METHODSFrom 1985 through 1998, 273 patients underwent postmastectomy radiation therapy at the University of Louisville. The chest wall was treated using 6-MeV electron beam with 5-mm bolus prescribed to the 90% isodose-line, ensuring adequate dermal lymphatic dose. Internal mammary nodes were treated with electron-beam energy sufficient to treat to depth (≈15 MeV). Supraclavicular nodes were treated using 6-MV photon beam. Patients' charts were reviewed with respect to complications and outcome. RESULTSRadiation pneumonitis was confirmed in one case (0.4%). The pneumonitis resolved with prednisone treatment. Twenty patients experienced locoregional failure (7.3%), 14 of whom failed in the chest wall (5.1%). DISCUSSIONLocal control in our study is excellent and comparable to results expected for postmastectomy radiation therapy as reported in the literature. We conclude that postmastectomy patients can be treated with low-energy electron beam radiation therapy, protecting underlying lung without sacrificing local disease control.
Requirements for a Deductive Query Language in the MapBase Genome-Mapping Database

A keyboard is disclosed which produces a signal in response to the depression of a selected key lever. In response to the depression of the selected key lever, a resilient spring contact is deflected away from a relatively fixed contact and released. The resilience of the resilient spring contact causes said spring contact to return towards the relatively fixed contact and make a momentary closure therewith. In response to the momentary closure, an electrical signal is produced during the charge time of a capacitor in series with the closing contacts. The capacitor is so chosen that it will be substantially fully charged in response to the closure of the contacts and no additional signal will result in the event that there should be any contact bounce or multiple closures thereof. An actuating pawl for actuating the resilient contact spring is attached to the key lever and a single spring is used to bias the actuating pawl and the key lever to their at rest positions. A bail which may be selectively positioned in cooperative relationship with a projection on the actuating pawl may be used to lock the key levers against actuation. A frame member is employed to pivot the pawl near the end of the down stroke of the key lever and thereby release the resilient contact spring. The cited frame member, the pawl and the key lever coact to provide a down stop limit for the key lever. Alternate selective means may be provided for locking selected key levers against actuation. In the structure shown, selected key levers are pivoted from a forward position while other key levers are pivoted from a rearward position. The circuit of the cited capacitor is designed to assure discharge of the cited capacitor well within the cycle time of operation of a given key lever.
Neuropersonality: a psychosomatic unity paradigm

In this paper we discuss how recent discoveries and insights in neuroscience and psycho-neuroendocrine-immunology (PNEI) confirm and support the “psychosomatic unity paradigm,” which views human beings as a “unitary psychosomatic system” and highlights how the Self and the main psychosomatic functions are regulated by seven “emotional systems” (Panksepp 2012). The disequilibrium of these seven systems may have a deep impact on consciousness and on the neuro-psychosomatic structure of the Self, thus providing a scientific explanation for human personalities, for the origin of psychosomatic blocks and for Reichian character and muscular armour. This scientific evidence suggests the need and the challenge for a more scientific body-oriented methodology that can include the development of a more integrated therapeutic approach based on self-awareness and deep psychosomatic consciousness.
Multi-criteria evaluation and GIS

One of the most important applications of GIS is the display and analysis of data to support the process of environmental decision-making. A decision can be defined as a choice between alternatives, where the alternatives may be different actions, locations, objects, and the like. For example, one might need to choose which is the best location for a hazardous waste facility, or perhaps identify which areas will be best suited for a new development. Broadly, decisions can be classified into two extensive categories – policy decisions and resource allocation decisions. Resource allocation decisions, as the name suggests, are concerned with control over the direct use of resources to achieve a particular goal. Ultimately, policy decisions have a similar aim. However, they do so by establishing legislative instruments that are intended to influence the resource allocation decisions of others. Thus, for example, a government body might reduce taxes on land allocated to a particular crop as an incentive to its introduction. This is clearly a policy decision; but it is the farmer who makes the decision about whether to allocate land to that crop or not. To be rational, decisions will be necessarily based on one or more criteria – measurable attributes of the alternatives being considered, that can be combined and evaluated in the form of a decision rule. In some circumstances, allocation decisions can be made on the basis of a single criterion. However, more frequently, a variety of criteria is required. For example, the choice between a set of waste disposal sites might be based upon criteria such as proximity to access roads, distance from residential and protected lands, current land use, and so on. This chapter focuses on the very specific problems of spatial resource allocation decisions in the context of multiple criteria – a process most commonly known as multi-criteria evaluation
DAMBE: software package for data analysis in molecular biology and evolution.

DAMBE (data analysis in molecular biology and evolution) is an integrated software package for converting, manipulating, statistically and graphically describing, and analyzing molecular sequence data with a user-friendly Windows 95/98/2000/NT interface. DAMBE is free and can be downloaded from http://web.hku. hk/~xxia/software/software.htm. The current version is 4.0. 36.
Realization of dynamic biped walking varying joint stiffness using antagonistic driven joints

The authors introduce a life-size biped walking robot having antagonistic driven joints using a nonlinear spring mechanism and a dynamic biped walking control method using these joints. In the current research concerning a biped walking robot, there is no developed example of a life-size biped walking robot with antagonistically driven joints by which the human musculo-skeletal system is imitated in lower limbs. Humans are considered to walk efficiently using the inertial energy and the potential energy of the lower limbs effectively, walk smoothly with less impact force when a foot lands and cope flexibly with the outside environment. The human joint is driven by two or more muscle groups. Humans can vary the joint stiffness, using nonlinear spring characteristics possessed by the muscles themselves. These functions are indispensable for a humanoid. However, the biped walking robots developed previously have been unable to walk in this way. Therefore, the authors developed a biped walking robot having antagonistic driven joints, and proposed a walking control method for dynamic biped walking that uses antagonistic driven joints to vary joint stiffness. The authors performed walking experiments using the biped walking robot and the control method. As a result, dynamic biped walking varying the joint stiffness using antagonistic driven joints was realized.
Microstructuring of Polypyrrole by Maskless Direct Femtosecond Laser Ablation

Ultrafast laser micromachining was optimized for microstructuring polypyrrole as a facile new approach towards tailoring electrochemical and mechanical responses desirable for microactuator, sensors, neural probing, and nerve conduit applications. Laser perforation of high-density and high aspect ratio through-holes generated greater than 5-fold increase in surface area. The flexible machining technique offers micron-size resolution and fast prototyping capability for optimizing properties and opening new directions for polypyrrole-based devices.
A performance comparison for wind power integration into the grid system

The integration level of wind power into the grid system over the world has been growing at a very fast rate in the last few years and is still keeping this pace. In the future, wind power is expected to be at least comparable to the conventional power generation systems. Large-scale wind farms will need to be integrated into traditional power grid systems, creating the need to establish technical standards to make this integration feasible. This paper covers the performance comparison of a power system with and without the inclusion of a large-scale wind farm. The global system model is presented along to a case of study and the simulation results.
Exploiting Non-intrusive Monitoring in Real-Time Embedded Operating Systems

Monitoring in embedded system software can have several uses, ranging from system characterization to run-time verification (RV). Traditional monitoring techniques require code instrumentation, imposing an overhead on system execution both in performance and timeliness. In real-time systems this is exarcebated by the need of new worst-case execution time estimation and schedulability analysis. In this paper we discuss how monitoring can be exploited in real-time embedded operating systems, via non-intrusive mechanisms.
Investigation of the multiple relations between Emotional Intelligence , Social Skills and self-esteem with Family Communications among Deaf and Hard of hearing adolescents

The aim of this research was to investigate multiple relations between emotional intelligence, social skills and self-esteem with family communications among deaf and Hard of hearing adolescents of Isfahan city. Data were collected from 106 deaf or hard of hearing student in special deaf school of Esfahan city using short form of emotional intelligence questionnaire, social skills inventory and Family communications Scale. Data were analyzed with using descriptive and inferential statistics. The results showed that family communication was significantly and meaningfully associated with emotional intelligence (r=.379, p=.001), social skills (r=.333, p=.001) and self-esteem (r=.213, p= .01). Also in multiple regressions analysis has been determined that among subscales of social skills, there is positive and meaningful relationship between social expressivity (r=.288, p=.001), social sensitivity (r=.360, p =.001), with family communications. According to this study, personal factors and family communications must be more considered in deaf and hard of hearing adolescents.
Heparin Enhances Serpin Inhibition of the Cysteine Protease Cathepsin L*

The glycosaminoglycan heparin is known to possess antimetastatic activity in experimental models and preclinical studies, but there is still uncertainty over its mechanism of action in this respect. As an anticoagulant, heparin enhances inhibition of thrombin by the serpin antithrombin III, but a similar cofactor role has not been previously investigated for proteases linked to metastasis. The squamous cell carcinoma antigens (serpins B3 and B4) are tumor-associated proteins that can inhibit papain-like cysteine proteases, including cathepsins L, K, and S. In this study, we show that SCCA-1 (B3) and SCCA-2 (B4) can bind heparin as demonstrated by affinity chromatography, native PAGE gel shifts, and intrinsic fluorescence quenching. Binding was specific for heparin and heparan sulfate but not other glycosaminoglycans. The presence of heparin accelerated inhibition of cathepsin L by both serpins, and in the case of SCCA-1, heparin increased the second order inhibition rate constant from 5.4 × 105 to >108, indicating a rate enhancement of at least 180-fold. A templating mechanism was shown, consistent with ternary complex formation. Furthermore, SCCA-1 inhibition of cathepsin L-like proteolytic activity secreted from breast and melanoma cancer cell lines was significantly enhanced by heparin. This is the first example of glycosaminoglycan enhancement of B-clade serpin activity and the first report of heparin acting as a cofactor in serpin cross-class inhibition of cysteine proteases. Most importantly, this finding raises the possibility that the anticancer properties of heparin may be due, at least partly, to enhanced inhibition of prometastatic proteases.