Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration of signal prediction service in Service Oriented Architecture

Smart transducers based on the IEEE 1451 standard provide platform for development of distributed measurement and control systems. Integration of IEEE 1451 services based on Service Oriented Architecture (SOA) enables simple implementation, interoperability, scalability of distributed system components, accessible in the form of network services. Addressing the transport latency and packet loss in distributed systems, we propose the concept of algorithms' and processes' implementation in the form of dislocated network services. Introducing the signal data paths, time-stamped data and time synchronization mechanism, we provide the support for real-time system characteristics. Each component on the data path is able to analyze the packets of time-stamped information, extract an adequate sample set, and apply this set to the input of the implemented real-time algorithm or actuator. Proper management of the time-stamped information along data path enables real-time actions despite the network propagation delay or other systems' latencies. In this paper, the presented architecture is used for integration of the signal prediction service in smart transducers network based on SOA. Purpose of the service is to predict the values of arbitrary signals in order to compensate network delay and packet loss. Two realizations of the signal prediction service, based on neural networks are given: feed-forward and feedback predictive network. The system containing embedded IEEE 1451 smart transducer module for relative humidity measurement and signal prediction service on the general purpose platform is used for the experimental verification of the proposed concept.
Unextendible product bases and bound entanglement

An unextendible product basis( UPB) for a multipartite quantum system is an incomplete orthogonal product basis whose complementary subspace contains no product state. We give examples of UPBs, and show that the uniform mixed state over the subspace complementary to any UPB is a bound entangled state. We exhibit a tripartite 2 3 2 3 2 UPB whose complementary mixed state has tripartite entanglement but no bipartite entanglement, i.e., all three corresponding 2 3 4 bipartite mixed states are unentangled. We show that members of a UPB are not perfectly distinguishable by local positive operator valued measurements and classical communication. [S0031-9007(99)09360-6]
The CPT1C 5′UTR Contains a Repressing Upstream Open Reading Frame That Is Regulated by Cellular Energy Availability and AMPK

Background Translational control is utilized as a means of regulating gene expression in many species. In most cases, posttranscriptional regulatory mechanisms play an important role in stress response pathways and can lead to dysfunctional physiology if blocked by mutations. Carnitine Palmitoyltransferase 1 C (CPT1C), the brain-specific member of the CPT 1 family, has previously been shown to be involved in regulating metabolism in situations of energy surplus. Principal Findings Sequence analysis of the CPT1C mRNA revealed that it contains an upstream open reading frame (uORF) in the 5′ UTR of its mRNA. Using CPT1C 5′ UTR/luciferase constructs, we investigated the role of the uORF in translational regulation. The results presented here show that translation from the CPT1C main open reading frame (mORF) is repressed by the presence of the uORF, that this repression is relieved in response to specific stress stimuli, namely glucose deprivation and palmitate-BSA treatment, and that AMPK inhibition can relieve this uORF-dependent repression. Significance The fact that the mORF regulation is relieved in response to a specific set of stress stimuli rather than general stress response, hints at an involvement of CPT1C in cellular energy-sensing pathways and provides further evidence for a role of CPT1C in hypothalamic regulation of energy homeostasis.
The Italian surveillance system for occupational cancers: characteristics, initial results, and future prospects.

BACKGROUND Occupational cancer monitoring is important for cancer prevention and public health protection. A surveillance system for identifying occupational cancer risks and cancer cases in Italy that are likely to be of occupational origin using information available in the Italian Social Security archives was created and assessed. Persons employed in the private sector, the employing company, its industrial sector, and years of employment are available in these archives. METHODS A method to find known occupational hazards was first tested using a case-control approach. Cases were from six Italian cancer registries (CRs) and controls were sampled from source populations and as "exposure" the economic sector of the employing company was used. The potential of using hospital discharge records as case sources was subsequently assessed: these cover larger populations and are available more quickly than CR case series. RESULTS In the CR-based study many known occupational cancer risks related to specific industrial sectors were identified. By using cases from hospital discharge records many industries at risk were identified, as well as cases of recent diagnosis likely to be of occupational origin. However, for some industrial sectors (e.g., the chemical industry) the approach was unable to detect any excess risk. Furthermore, information on employees in important areas like agriculture, self-employment, and the public sector is not available in the Social Security archives. CONCLUSIONS This approach appears to be a promising low-cost method for occupational cancer surveillance, at least for some industries, and can be easily implemented in other countries.
Ergonomic Problems Prevalent in Handloom Units of North East India

- Handloom is the mostly widely established cottage industry of North East India (NE) that is most wide spread throughout the region. It employs a large skilled and unskilled workforce and which, in North East, mainly consists of women workers. In the present era of commercialization, handloom sector is also witnessing changes and large number, of women are adopting the weaving activity as their profession. The activity they performed previously during their leisure time, has now been transformed to 8hours job. But, in spite of the increased weaving time spent on loom, the workstation design remains unaltered. The paper reports the ergonomic issues related to weaving practices as adopted in NE, at present and tries to analyze them from the design perspective. Subjective assessment, direct observation, interview with weavers and the managing bodies were used for determining the work related issues prevailing in the present handloom sector. The study identifies four broader problem areas related to seating, treadling, flying shuttle and cloth rolling operations where design modifications are required to improve work efficiency with reduced manual efforts. Addressing the issues by looking into the ergonomic aspects in existing workstation will have direct impact on quality as well as quantity of outcome thereby, improving the productivity as well as overall occupational wellness.
Isfa 2014-124 Trajectory Tracking Control Using a Hydraulic Transformer

Throttling loss of a hydraulic system is a major contributor to the low system efficiency. Hydraulic transformers can potentially be used as an energy efficient, throttle-less control approach for multi-actuators systems powered by a common pressure rail (CPR). The transformer transforms the input CPR pressure to the desired pressure of the actuator instead of throttling it. Regenerative energy can also be captured. This paper presents a trajectory tracking controller for a hydraulic actuator driven by a transformer consisting of two mechanically coupled variable displacement pump/motors. In addition to controlling the motion of the actuator, the transformer speed is also controlled. The control method can be adapted for all 3 hydraulic transformer configurations that differ by port connections. Simulation results show the validity of the proposed control strategy and that transformer with an appropriate control strategy can significantly reduce energy use relative to throttling valve. It is also shown that optimizing transformer configuration for bucking or boosting, and optimizing the transformer speed can further improve efficiency.
Low noise and low cost neural amplifiers

Extracellular neural signal acquisition requires low noise, high gain, low power, and low cost amplifiers. This paper presents amplifiers with a simple architecture that ensures a good compromise among these characteristics. We present three amplifiers based on the same architecture, in which the first stage is a differential pair, respectively based on HBT, NMOS or PMOS transistors. The HBT-based solution presents the lowest intrinsic noise, followed by the NMOS solution. We use Monte Carlo simulation to validate the robustness of amplifiers' characteristics of technological dispersions.
Effect of Feature Selection, SMOTE and under Sampling on Class Imbalance Classification

Accurate identification of network intrusions is one of the biggest challenges of Network Intrusion Detection (NID) systems. In recent years Machine learning classification techniques have been used to precisely identify network intrusion. However, the multi class distribution in network intrusion detection system has found to be highly skewed, leading to classification accuracy problem due to class imbalance data set. The work presented in this paper not only explores the role of the attribute selection in improving classification accuracy but also investigates the problem of class imbalance using the Synthetic Minority Over-sampling (SMOTE) and under sampling of major classes. The classification performance is then evaluated over several types of classifiers. The outcome of this work is that for the class imbalance data set the under-sampling technique is more effective than SMOTE in detecting minor classes. It has also found during this research work that the decision tree algorithms (JRIP) and Naïve Bayes are more accurate classifiers as compared to the Radial basis neural network and support vector machine. However no single algorithm can be used for the classification of multiclass and it is proposed in this research work that combination of classifier consisting of Naïve Bayes and JRIP could be used for the classification of minor classes in an imbalance class data set of intrusion detection system.
Estrogen Can Act via Estrogen Receptor (cid:1) and (cid:2) to Protect Hippocampal Neurons against Global Ischemia-Induced Cell Death

Estradiol at physiological concentrations intervenes in apo- ptotic death cascades and ameliorates neuronal death in experimental models of focal and global ischemia. The cellular targets that mediate estradiol protection of hippocampal neurons in global ischemia are, however, unclear. The present study examined the hypothesis that estradiol protects hippocampal neurons in ovariectomized rats via estrogen recep- tor (ER) (cid:1) and/or (cid:2) . Estradiol (14 d pretreatment) afforded robust protection of CA1 neurons against global ischemia-induceddeath.Thebroad-spectrumERantagonistICI182,780(intracerebroventricularly,0and12hafterischemia)abol-ishedestrogenprotection,consistentwitharoleforERs.ToevaluatethepotentialrolesofER (cid:1) vs. ER (cid:2) in estrogen pro- tection, we administered subtype-selective agonists for 14 d before and 7 d after ischemia. The ER (cid:1) -selective agonist propyl pyrazole triol (PPT, 10 mg/kg) and ER (cid:2) -selective agonist WAY 200070–3 (1 mg/kg) produced nearly complete protection of CA1 neurons in approximately 50% of the animals. PPT, but not WAY 200070–3, at doses used for protection, elicited lor-dosis,inducednegativefeedbackinhibitionofLHrelease,andreducedweightgain.ThesefindingsestablishtheefficacyofthePPTdoseinneuroendocrineassaysandspecificityofWAY200070–3forER (cid:2) . We also examined the ability of estradiol and neuronal injury to regulate ER (cid:1) and ER (cid:2) expression. Both estradiol and global ischemia markedly increased ER (cid:1) , butnotER (cid:2) ,proteininCA1.Thesedataindicatethatestradiol can act via ER (cid:1) and ER (cid:2) to protect CA1 neurons from global ischemia-induced death and that both estradiol and global ischemia modulate ER (cid:1) expression in hippocampal CA1. En- the specificity performed independent physiological
Neural network-based decision feedback equalizer using a recursive least squares algorithm

In this work, a recently derived recursive least-square (RLS) algorithm to train multi layer perceptron (MLP) is used for a decision feedback equalization (DFE) scenario. Its performance is investigated and compared to those of MLPDFE based on the back propagation (BP) algorithm and the simple DFE based on the least-mean square (LMS) algorithm. The results show improved performance obtained by the new structure in both time-invariant and time-varying fading channels.
Error Classification in Action Descriptions: A Heuristic Approach

Action languages allow to formally represent and reason about actions in a highly declarative manner. In recent work, revision and management of conflicts for domain descriptions in such languages wrt. semantic integrity constraints have been considered, in particular their reconciliation. However, merely ad hoc tests and methods have been presented to aid the user in analyzing and correcting a flawed description. We go beyond this and present a methodology on top of such tests for identifying a possible error, which works in several stages. The issue of such a methodology for action languages is novel and has not been addressed before, but is important for building tools and engineering action descriptions in practice.
Brain MR Image Tumor Segmentation with Ventricular Deformation

This paper addresses the issue of the weak association between brain MRI intensity value and anatomical meaning of MR image pixels. By investigating the deformation on brain lateral ventricles and compression from tumor, the correlation between them is quantified and utilized. With the proposed feature extraction component, lateral ventricular deformation is transformed into an additional feature for brain tumor segmentation. Some comparative experiments using both supervised and unsupervised pattern recognition segmentation methods show the improved tumor segmentation accuracy in some image cases.
Semi�?Parametric Estimation of Non�?Separable Models: A Minimum Distance from Independence Approach

This paper focuses on nonseparable structural models of the form Y = m(X, U, α0) with U X and in which the structural parameter α0 contains both finite dimensional (θ0) and infinite dimensional (h0) unknown components. Our proposal is to estimate α0 by a minimum distance from independence (MDI) criterion. We show that: (i) our estimator of h0 is consistent and obtain rates of convergence; (ii) the estimator of θ0 is square root n consistent and asymptotically normally distributed.
Random Network Coding Effects on CDMA/TDD Mesh Networks

The effects of random network coding on code division multiple access/time division duplex (CDMA/TDD) platforms are studied and evaluated. A multi-hop mesh network with both single source and multiple receiving nodes is assumed. Two scenarios are evaluated for their efficiency. The study focuses on the effects of uncontrolled parameters such as the minimum number of neighbors and the network connectivity, and of controlled parameters such as the Galois Field (GF) size and the Processing Gain. The results show that applying random network coding to code division multiple access/time division duplex systems could provide a noticeable improvement in overall efficiency.
Toxocariasis: visceral larva migrans in children.

OBJECTIVES To present a detailed investigation of risk factors, symptoms, and laboratory and imaging tests that may be useful to establish the clinical laboratory diagnosis of visceral larva migrans (VLM) in children, demonstrating the importance of diagnosis and treatment to prevent complications in the eyes, liver, and other organs. SOURCES Literature review using the MEDLINE and LILACS (1952-2009) databases, selecting the most recent and representative articles on the topic. SUMMARY OF THE FINDINGS VLM is an infectious disease with non-specific clinical presentation, whose transmission is related to contact with dogs, especially puppies, and which may progress to late systemic complications in vital organs such as the eyes and the central nervous system. IgG (ELISA) anti-T. canis can be used to establish the laboratory diagnosis. Higher cutoff points suggest recent illness and lower cutoff points demonstrate mild infection or infection in remission. Therapeutic response may be assessed by means of eosinophil blood cell count. The present article provides the pediatrician with updated information regarding VLM, a disease of high prevalence worldwide and in Brazil. CONCLUSIONS The diagnosis of VLM depends mainly on the presence of dogs in the child's household, associated with ELISA (IgG anti-T. canis), using excretory-secretory antigens of Toxocara canis. Prospective studies are warranted to assess the best drug therapy. Prevention is the most important strategy because of the high prevalence of T. canis in urban areas.
Inventing Postcolonial Elites: Race, Language, Mix, Excess

This article illustrates how semiotic processes that form and circulate ideologies about race, language, and the elite are central to questions of coloniality. Considering the historical and contemporary context of the Philippines, I examine how notions of linguistic and racial “mix” and “excess” get linked to elite social figures and how one elite figure in particular—the “conyo elite”—is reportedly heard and seen by a private school–educated listening subject that is constituted, in contrast, as “middle-class elite. ” I consider how iconizations of mixedness and excessiveness invent distinctions among Philippine elite types, producing an “elite bifurcation” that recursively constitutes colonial hierarchies: positioning conyo elites as acting as colonists whose supposedly mixed and excessive qualities are regarded as immoral, overly modern, and a national betrayal.
The Critical Role of Astragalus Polysaccharides for the Improvement of PPRAα-Mediated Lipotoxicity in Diabetic Cardiomyopathy

Background Obesity-related diabetes mellitus leads to increased myocardial uptake and oxidation of fatty acids, resulting in a form of cardiac dysfunction referred to as lipotoxic cardiomyopathy. We have shown previously that Astragalus polysaccharides (APS) administration was sufficient to improve the systemic metabolic disorder and cardiac dysfunction in diabetic models. Methodology/Principal Findings To investigate the precise role of APS therapy in the pathogenesis of myocardial lipotoxity in diabetes, db/db diabetic mice and myosin heavy chain (MHC)- peroxisome proliferator-activated receptor (PPAR) α mice were characterized and administrated with or without APS with C57 wide- type mice as normal control. APS treatment strikingly improved the myocyte triacylglyceride accumulation and cardiac dysfunction in both db/db mice and MHC-PPARα mice, with the normalization of energy metabolic derangements in both db/db diabetic hearts and MHC-PPARα hearts. Consistently, the activation of PPARα target genes involved in myocardial fatty acid uptake and oxidation in both db/db diabetic hearts and MHC-PPARα hearts was reciprocally repressed by APS administration, while PPARα-mediated suppression of genes involved in glucose utilization of both diabetic hearts and MHC-PPARα hearts was reversed by treatment with APS. Conclusions We conclude that APS therapy could prevent the development of diabetic cardiomyopathy through a mechanism mainly dependent on the cardiac PPARα-mediated regulatory pathways.
Regaining Sexual Health After Cervical Cancer

Cervical cancer has one of the highest survival rates of any cancer type. Women are usually diagnosed at early stages and treated locally, allowing for the maintenance of optimal quality in most areas of life. Because the disease targets organs associated with reproduction, however, sexuality and fertility are not spared. Even though the cancer is eliminated, its psychological impact intrudes into a woman's idea of what it means to be feminine, sexual, and generatively powerful in the world. Sadly, the women who are most likely to survive cancer at a youthful age are often physically healthy but plagued by sexual side effects for the remainder of their lives. Dyspareunia (painful intercourse) is one of the most common sexual symptoms in cervical cancer survivors. Dyspareunia results from damage to vaginal tissue and reshaping of the vagina secondary to surgery and radiation. When ovarian function is curtailed by treatment, hormonal dysregulation associated with menopause also leads to dyspareunia, if untreated. Like the cancer, dyspareunia carries an impact beyond that which is physically palpable. The heightened awareness of the vagina, which may never have emerged notwithstanding dyspareunia, often precipitates an unexpected exploration of the deeply personal meaning a woman attaches to her sexual self. These sexual self-images vary depending on the attributions placed on having withstood unanticipated, albeit lifesaving, alteration to genitalia. Intimate relationships may also be profoundly affected. This article presents two cases that detail the sexual aftermath of cervical cancer and gradual sexual rejuvenation that occurs when psychosocial and medical interventions to treat dyspareunia are implemented.
Design Methodology of a Dual-Halbach Array Linear Actuator with Thermal-Electromagnetic Coupling

This paper proposes a design methodology for linear actuators, considering thermal and electromagnetic coupling with geometrical and temperature constraints, that maximizes force density and minimizes force ripple. The method allows defining an actuator for given specifications in a step-by-step way so that requirements are met and the temperature within the device is maintained under or equal to its maximum allowed for continuous operation. According to the proposed method, the electromagnetic and thermal models are built with quasi-static parametric finite element models. The methodology was successfully applied to the design of a linear cylindrical actuator with a dual quasi-Halbach array of permanent magnets and a moving-coil. The actuator can produce an axial force of 120 N and a stroke of 80 mm. The paper also presents a comparative analysis between results obtained considering only an electromagnetic model and the thermal-electromagnetic coupled model. This comparison shows that the final designs for both cases differ significantly, especially regarding its active volume and its electrical and magnetic loading. Although in this paper the methodology was employed to design a specific actuator, its structure can be used to design a wide range of linear devices if the parametric models are adjusted for each particular actuator.