Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comprehensive Software Framework for Complex Locomotion and Manipulation Tasks Applicable to Different Types of Humanoid Robots

While recent advances in approaches for control of humanoid robot systems show highly promising results, consideration of fully integrated humanoid systems for solving complex tasks such as disaster response has only gained focus recently. In this work, a software framework for humanoid disaster response robots is introduced. It provides newcomers as well as experienced researchers in humanoid robotics a comprehensive system comprising open source packages for locomotion, manipulation, perception, world modeling, behavior control, and operator interaction. The system uses the Robot Operating System (ROS) as a middleware, which has emerged as a de-facto standard in robotics research in recent years. The described architecture and components allow for flexible interaction between operator(s) and robot from teleoperation to remotely supervised autonomous operation while considering bandwidth constraints. The components are self-­contained and can be used either in combination with others or standalone. They have been developed and evaluated during participation in the DARPA Robotics Challenge and their use for different tasks and parts of this competition are described.
Fiber Twisting- and Bending-Induced Adiabatic/Nonadiabatic Super-Mode Transition in Coupled Multicore Fiber

The characteristics of power transfer between super-modes in coupled multicore fiber are investigated numerically and experimentally. We reveal that fiber twisting and macrobending cause mode coupling through an adiabatic/nonadiabatic process, which is different from the mode coupling caused by structural perturbation, namely microbending. We also investigate the impulse response characteristics of coupled two-core fibers, and find that there is an optimum core pitch for minimizing the complexity of the MIMO processing. Finally, we conduct a 4 × 4 MIMO transmission experiment using two-core fibers to evaluate their transmission characteristics. We show that strongly coupled multicore fiber can reduce the quality difference between the received signals even when the transmission line has large core-dependent gain/loss values.
Relation of fetuin A levels with cardiac, subcutaneous lipid accumulation and insulin resistance parameters in Turkish obese children

Abstract Background: Fetuin A is an inhibitor of insulin action and have been found to be related with subcutaneous lipid accumulation and insulin resistance. The relation of cardiac lipid accumulation, fetuin A and insulin resistance parameters in obese children is not well-known. The aim of the study was to evaluate the relation of serum fetuin A levels with subcutaneous and cardiac lipid accumulation, and insulin resistance parameters in Turkish obese children. Methods: Serum fetuin A levels, cardiac and subcutaneous lipid accumulation parameters of 42 obese (10.9±2.3 years, 19 female) and 40 control group subjects (11.2±2.7) were compared. Cardiac lipid accumulation measured by subepicardial adipose tissue thickness. Insulin resistance was assessed using homeostasis model assessment (HOMA-IR) index. Results: There were significant correlations serum fetuin A levels with BMI-SDS, circumferences of waist, hip and midarm, SATT and HOMA-IR (r=0.362, p=0.018, r=0.728, p=0.001, r=0.662, p=0.0001, r=0.713, p=0.0001, r=0.477, p=0.001, and r=0.330, p=0.038 as, respectively). Conclusions: Fetuin A was correlated well with cardiac and subcutaneous lipid accumulation, insulin resistance parameters, which may be related with early pathogenetic mechanisms of metabolic obesity complications in children.
Effects of lambda‐cyhalothrln in two ditch microcosm systems of different trophic status

The fate and effects of the pyrethroid insecticide lambda‐cyhalothrin were compared in mesotrophic (macrophyte‐dominated) and eutrophic (phytoplankton‐dominated) ditch microcosms (∼0.5 m3). Lambda‐cyhalothrin was applied three times at one‐week intervals at concentrations of 10, 25, 50, 100, and 250 ng/L. The rate of dissipation of lambda‐cyhalothrin in the water column of the two types of test systems was similar. After 1 d, only 30% of the amount applied remained in the water phase. Initial, direct effects were observed primarily on arthropod taxa. The most sensitive species was the phantom midge (Chaoborus obscuripes). Threshold levels for slight and transient direct toxic effects were similar (10 ng/L) between types of test systems. At treatment levels of 25 ng/L and higher, apparent population and community responses occurred. At treatments of 100 and 250 ng/L, the rate of recovery of the macroinvertebrate community was lower in the macrophyte‐dominated systems, primarily because of a prolonged decline of the amphipod Gammarus pulex. This species occurred at high densities only in the macrophyte‐dominated enclosures. Indirect effects (e.g., increase of rotifers and microcrustaceans) were more pronounced in the plankton‐dominated test systems, particularly at treatment levels of 25 ng/L and higher.
Efficiently Mining High Quality Phrases from Texts

Phrase mining is a key research problem for semantic analysis and text-based information retrieval. The existing approaches based on NLP, frequency, and statistics cannot extract high quality phrases and the processing is also time consuming, which are not suitable for dynamic on-line applications. In this paper, we propose an efficient high-quality phrase mining approach (EQPM). To the best of our knowledge, our work is the first effort that considers both intra-cohesion and inter-isolation in mining phrases, which is able to guarantee appropriateness. We also propose a strategy to eliminate order sensitiveness, and ensure the completeness of phrases. We further design efficient algorithms to make the proposed model and strategy feasible. The empirical evaluations on four real data sets demonstrate that our approach achieved a considerable quality improvement and the processing time was 2.3X - 29X faster than the state-of-the-art works.
Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL

Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and perform tasks automatically without the direction of users. These technologies are relatively recent and advancing rapidly, creating a set of unique challenges for those developing applications. Semantic Web for the Working Ontologist is the essential, comprehensive resource on semantic modeling, for practitioners in health care, artificial intelligence, finance, engineering, military intelligence, enterprise architecture, and more. Focused on developing useful and reusable models, this market-leading book explains how to build semantic content (ontologies) and how to build applications that access that content. New in this edition: Coverage of the latest Semantic Web tools for organizing, querying, and processing information - see details in TOC below Detailed information on the latest ontologies used in key web applications including ecommerce, social networking, data mining, using government data, and more Updated with the latest developments and advances in Semantic Web technologies for organizing, querying, and processing information, including SPARQL, RDF and RDFS, OWL 2.0, and SKOS Detailed information on the ontologies used in today's key web applications, including ecommerce, social networking, data mining, using government data, and more Even more illustrative examples and case studies that demonstrate what semantic technologies are and how they work together to solve real-world problems Table of Contents 1? What Is The Semantic Web? 2? Semantic Modeling 3? RDF - The Basis of the Semantic Web 4? SPARQL - The Query Language for RDF 5? Semantic Web Application Architecture 6? RDF And Inferencing 7? RDF Schema Language 8? RDFS-Plus 9? SKOS - the Simple Knowledge Organization System 10? Ontologies in the Wild: Linked Open Data and the Open Graph Project 11? Basic OWL 12? Counting and Sets In OWL 13? MORE Ontologies in the Wild: QUDT, GoodRelations, and OBO Foundry 14? Good and Bad Modeling Practices 15? OWL 2.0 Levels and Logic 16? Conclusions 17? Frequently Asked Questions
Phase II study of cetuximab in combination with chemoradiation in patients with stage IIIA/B non-small-cell lung cancer: RTOG 0324.

PURPOSE Non-small-cell lung cancer (NSCLC) commonly expresses the epidermal growth factor receptor (EGFR), which is associated with poor clinical outcome. Cetuximab is a chimerized monoclonal antibody that targets the EGFR and, in preclinical models, it demonstrates radiosensitization properties. We report a phase II trial testing the combination of cetuximab with chemoradiotherapy (CRT) in unresectable stage III NSCLC. PATIENTS AND METHODS Eligibility criteria included unresectable stage III NSCLC, Zubrod performance status ≤ 1, weight loss ≤ 5%, forced expiratory volume in 1 second ≥ 1.2 L, and adequate organ function. Patients received an initial dose of cetuximab (400 mg/m(2)) on day 1 of week 1 and then weekly doses of cetuximab (250 mg/m(2)) until completion of therapy (weeks 2 through 17). During week 2, patients started CRT (63 Gy in 35 fractions) with weekly carboplatin at area under the [concentration-time] curve (AUC) 2 and six doses of paclitaxel at 45 mg/m(2) followed by carboplatin (AUC 6) and two cycles of paclitaxel (200 mg/m(2)) during weeks 12 through 17. Primary end points included safety and compliance of concurrent cetuximab and CRT. RESULTS In all, 93 patients were enrolled and 87 were evaluable. Median follow-up was 21.6 months. Response rate was 62% (n = 54), median survival was 22.7 months, and 24-month overall survival was 49.3%. Adverse events related to treatment included 20% grade 4 hematologic toxicities, 8% grade 3 esophagitis, and 7% grade 3 to 4 pneumonitis. There were five grade 5 events. CONCLUSION The combination of cetuximab with CRT is feasible and shows promising activity. The median and overall survival achieved with this regimen were longer than any previously reported by the Radiation Therapy Oncology Group.
Review of Vibration Based Fault Diagnosis in Rolling Element Bearing and Vibration Analysis Techniques

Rolling element bearings are one of the major machinery components used in industries like power plants, chemical plants and automotive industries that require precise and efficient performance. Vibration monitoring and analysis is useful tool in the field of predictive maintenance. Health of rolling element bearings can be easily identified using vibration monitoring because vibration signature reveals important information about the fault development within them. Numbers of vibration analysis techniques are being used to diagnosis of rolling element bearings faults. This paper attempts to summarize the recent research and developments in rolling bearing vibration analysis techniques. Bearing defects and bearing characteristic frequencies (BCF) are also discussed.
Dynamic aspects of oxygen consumption and carbon dioxide production in swine

A model is proposed that allows study of the short-term dynamics of gas exchanges (and heat production) in large open-circuit respiration chambers. The model describes changes in [O2] and [CO2] in the respiration chamber by a series of differential equations based on animal metabolism and physical characteristics of gas exchange. The model structure was similar for O2 and CO2, although model parameters differed. A constant level of O2 consumption (and CO2 production) was assumed for resting animals which was different for fed and fasted animals. The adaptation from a fed to a fasting state was described as a first-order process. Physical activity (standing or sitting) was recorded and was included in the model as a constant. Thermic effect of feed comprised the O2 consumption and CO2 production related to several relatively rapidly occurring processes after ingestion of a meal (e.g. ingestion, digestion or absorption). In the model, these processes were pooled into a single phenomenon. Model parameters were obtained statistically by comparing model predictions (based on the numerically integrated differential equations) with the observed [O2] and [CO2]. The model was evaluated by studying gas exchanges in growing pigs that were fasted for 31 h and re-fed a single meal thereafter. The model fitted the data well over the 47 h measurement range. Traditional methods in which heat production is calculated suffer from noisy data when the interval between observations becomes too short. The proposed method circumvents this by modelling the observed concentration of gases in the respiration chamber rather than the calculated heat production.
Molecular detection of endophytic, myrothecium spp. by its-Sequencing Technique

Endophytic fungi are micro organisms with immense production secondary metabolites having biological activity features, which exist withinplantswithout anyhazard for their living Ten isolates of endophytic Myrothecium ver rucaria species, recovered from bark and twigs of Garcinia spp. in order to detection and identification of this fungus plant, and to analyze their genome fingerprints with help of ITS - sequencing. ITS region is one of the most famous nuclear DNA sequences for genetic inference at the generic and genus levels in fungus. Hence,the target regions of rDNA, ITS 1, ITS 2 regions and 5.8S gene were amplified using primers ITS 1 and ITS 4.In this research,the phylogenetic evolutionary relationship of the desired endophyte were evaluated from the sequences of the ITS region.The amplification and subsequent sequencing of highly conserved ITS region showed genetic similarity among 10 isolates of Myrothecium spp (M), and based on the polymorphisms of the ITS region, the 10 isolates gave a length of ~550 bpamplicon
VLSI implementation of text to image encryption algorithm based on private key encryption

In cryptographic applications, the data sent to a remote host are encrypted at the source machine using an encryption key and then the encrypted data are sent to the destination machine, where it is decrypted to get the original data. Thus the attacker will not have the encryption key which is required to get the original data and so a hacker can do nothing with any cryptographic system. Reprogrammable devices such as Field Programmable Gate Arrays (FPGAs) are used for hardware implementations of cryptographic algorithms. As FPGA devices progressed both in terms of resources and performance, the latest FPGAs provide solutions that are easily customizable for system connectivity, DSP, and data processing applications. In this paper, implementation of an efficient cryptographic algorithm is done in Xilinx SPARTEN 3E FPGA. Also the algorithm is analyzed by calculating the number of all possible key permutations.
On the Color Stability of Phosphor-Converted White LEDs Under DC, PWM, and Bilevel Drive

Most commercial white LEDs are made from nitride-based blue LEDs coated with yttrium aluminium garnet phosphor, which produce spectra that shift in opposite directions under the influences of drive current and junction temperature changes. This property gives rise to different emitted spectra, hence chromaticity properties, when the LED is driven/dimmed by different current waveforms. By using a commercial white LED sample, LUXEON K2, the effects of drive current and junction temperature on the changes of chromaticity coordinates are studied experimentally. The impact of dc, pulse width modulation (PWM), and bilevel current waveform is discussed through a graphical analysis, followed by experimental verification. It is proven that dc offers the best color stability over dimming due to the counteracting influences of drive current and junction temperature variations, whereas an LED constantly suffers from noneliminable chromaticity changes when driven by the PWM. Theoretical explanations are given to justify these cases, and it is found that, for the case of dc drive, an ideal heat sink's thermal resistance can be selected based on a simple equation to minimize the overall chromaticity change over dimming. This paper provides an in-depth discussion on the relations between the chromaticity properties of phosphor-converted (pc) white LEDs and the driving/dimming methods used.
Accurate automatic quantification of taxa-specific plankton abundance using dual classification with correction

Optical imaging samplers are becoming widely used in plankton ecology, but image analysis methods have lagged behind image acquisition rates. Automated methods for analysis and recognition of plankton images have been developed, which are capable of real-time processing of incoming image data into major taxonomic groups. The limited accuracy of these methods can require significant manual post-processing to correct the automatically generated results, in order to obtain accurate estimates of plankton abundance patterns. We present here a dual-classification method in which each plankton image is first identified using a shaped-based feature set and a neural network classifier, and then a second time using a texture-based feature set and a support vector machine classifier. The plankton image is considered to belong to a given taxon only if the 2 identifications agree; otherwise it is labeled as unknown. This dual-classification method greatly reduces the false positive rate, and thus gives better abundance estimation in regions of low relative abundance. A confusion matrix is computed from a set of training images in order to determine the detection and false positives rates. These rates are used to correct abundances estimated from the automatic classification results. Aside from the manual sorting required to generate the initial training set of images, this dual-classification method is fully automatic and does not require sub- sequent manual correction of automatically sorted images. The resulting abundances agree closely with those obtained using manually sorted results. A set of images from a Video Plankton Recorder was used to evaluate this method and compare it with previously reported single-classifier results for major taxa.
Founder effect and number of private polymorphisms observed in Amerindian tribes.

In studies extending over the past dozen years, we have observed eight examples of "private" genetic polymorphisms in 12 Amerindian tribes surveyed for electrophoretic variants of an average of 25 proteins. Each of these is presumed to trace to a single mutation. In a preceding communication [Thompson, E.A. & Neel, J.V. (1978) Proc. Natl. Acad. Sci. USA 75, 1442-1445] the statistical theory was developed for estimating the likelihood of such a founder effect in a tribal population of this type. In this paper that theory is applied to the distribution defined by these eight variants. It is demonstrated that on the assumption that the phenotypes in question are selectively neutral, such findings are most compatible with a mutation rate of 7 X 10(-6)/locus per generation. This figure applies only to variants that can be detected by the electrophoretic technique.
Liquid crystal lens review

Liquid crystal lenses are possibly the spectacle lenses of the future for presbyopic corrections. They present a variable refractive index which can be used to produce the necessary addition needed for presbyopia. The variability of the refractive index is due to the fact that these materials are optically anisotropic. This effect is obtained by the application of an electric or magnetic field through the liquid crystal layer. A review of the literature relating to the evolution, the preparation and the operation of these lenses is given. A discussion is also included of the practical problems and drawbacks, which at present limit their use, and possible solutions.
MO-AB-BRA-04: Radiation Measurements with a DNA Double-Strand-Break Dosimeter.

PURPOSE Many types of dosimeters are used to measure radiation, but none of them directly measures the biological effect of this dose. The purpose here is to create a dosimeter that can measure the probability of double-strand breaks (DSB) for DNA, which is directly related to the biological effect of radiation. METHODS The dosimeter has DNA strands, which are labeled on one end with biotin and on the other with fluorescein. The biotin attaches these strands to magnetic beads. We suspended the DNA dosimeter in phosphate-buffered saline (PBS) as it matches the internal environment of the body. We placed small volumes (50µL) of the DNA dosimeter into tubes and irradiated these samples in a water-equivalent plastic phantom with several doses (three samples per dose). After irradiating the samples, a magnet was placed against the tubes. The fluorescein attached to broken DNA strands was extracted (called the supernatant) and placed into a different tube. The fluorescein on the unbroken strands remained attached to the beads in the tube and was re-suspended with 50µL of PBS. A fluorescence reader was used to measure the fluorescence for both the re-suspended beads and supernatant. To prove that we are measuring DSB, we tested dosimeter response with two different lengths of attached DNA strands (1 and 4 kilo-base pair). RESULTS The probability of DSB at the dose levels of 5, 10, 25, and 50 Gy were 0.05, 0.08, 0.12, and 0.19, respectively, while the coefficients of variation were 0.14, 0.07, 0.02, and 0.01, respectively. The 4 kilo-base-pair dosimeter produced 5.3 times the response of the 1 kilo-base-pair dosimeter. CONCLUSION The DNA dosimeter yields a measurable response to dose that scales with the DNA strand length. The goal now is to refine the dosimeter fabrication to reproducibly create a low coefficient of variation for the lower doses. This work was supported in part by Yarmouk University (Irbid, Jordan) and CPRIT (RP140105).
Development of human-friendly robot with collision force suppression mechanism

This paper presents the mechanism of a human-friendly robot that is able to suppress collision forces. The human-friendly robot consists of a mobile base and a manipulator with a collision suppression mechanism. The mechanism is composed of an electromagnetic clutch and a rotary damper. If the manipulator collides with an object, the joint axis of the manipulator separates from the electromagnetic clutch. Then, the collision force is passively suppressed by the damper. Through collision experiments, the effectiveness of the collision mechanism is verified.
Tackling the challenge of chronicity through healthcare integration in Gipuzkoa Oeste Health Region/El reto de la cronicidad a través de la integración asistencial en la Comarca Guipúzcoa Oeste

Ageing, a constant rise in demand for healthcare, rapid and continuous technological and pharmacological innovation and a growing pressure on financial resources are some of the reasons for needing renewal in our health system. Chronic patients account for 80% of primary care consultations, 60% of hospital admissions and 70% of health expenditure, and their number and complexity is ever increasing. The provision of services is fragmented and chronic patients have special requirements in this respect, since the care they need tends to involves the participation of several centres, a range of specialists, many different drugs, etc.