Miracle-dz/UniFAR-FTUs huggingface dataset:
An Overview of Entity Relation Extraction Techniques

Natural language processing requires deep understanding of semantic relationships between entities. This paper presents comprehensive review of various aspects of the Entity Relation Extraction task. Here, an attempt is made to cover in detail some of the important supervised and Semi-supervised classification approaches to the relation extraction task along with critical analyses. One of the most important aspects of Entity relation is higher-order relations. So there is a need of inventing approaches capable of handling higher order relations efficiently. Finally, in this paper some relation extraction applications like Question answering and Bio-text mining are also discuss.
A 19GHz, 250pJ/bit non-linear BPSK demodulator in 90nm CMOS

A low-complexity binary phase shift keying (BPSK) demodulator realizes ultra-low power operation without external components. Second harmonic injection-locking followed by analog multiplication is employed to recover data from a 19GHz BPSK-modulated carrier. Measured bit error rate (BER) at 10Mbps for the 0.35mm2 testchip in 90nm CMOS is comparable to classical DBPSK detection. The prototype demodulator consumes just 2.5mW at 0.8V, or 250pJ/bit.
Transient lateral photovoltaic effect in patterned metal-oxide-semiconductor films.

The time dependent transient lateral photovoltaic effect has been studied with μs time resolution and with chopping frequencies in the kHz range, in lithographically patterned 21 nm thick, 5, 10, and 20 μm wide, and 1500 μm long Co lines grown over naturally passivated p-type Si (100). We have observed a nearly linear dependence of the transitorial response with the laser spot position. A transitorial response with a sign change in the laser-off stage has been corroborated by numerical simulations. A qualitative explanation suggests a modification of the drift-diffusion model by including the influence of a local inductance. Our findings indicate that the microstructuring of position sensitive detectors could improve their space-time resolution.
The Semilinear Heat Equation on Sparse Random Graphs

Using the theory of $L^p$-graphons [C. Borgs et al., preprint, arXiv:1401.2906, 2014; C. Borgs et al., preprint, arXiv:1408.0744, 2014], we derive and rigorously justify the continuum limit for systems of differential equations on sparse random graphs. Specifically, we show that the solutions of the initial value problems for the discrete models can be approximated by those of an appropriate nonlocal diffusion equation. Our results apply to a range of spatially extended dynamical models of different physical, biological, social, and economic networks. Importantly, our assumptions cover network topologies featured in many important real-world networks. In particular, we derive the continuum limit for coupled dynamical systems on power law graphs. The latter is the main motivation for this work.
Multi-sensor optical remote sensing image registration based on Line-Point Invariant

Due to the different imaging modalities and acquisition time, keypoint-based registration methods often suffer from false matches of keypoints while utilizing to register the optical remote sensing images from multi-sensors. In this paper, we proposed a novel method based on Line-Point Invariant for the multi-sensor image registration. First, the line segments of the images are extracted, and then the salient line segments are detected depending upon the adaptive confidence. Subsequently, conjugate salient lines between the two images are identified as the registration primitives by the probability relaxation labelling approach. Second, we obtain the SIFT keypoints of the images and establish the matches of the keypoints based on the Line-Point Invariant via dual matching. Consequently, false keypoint matches are greatly reduced and the correct match rate is significantly enhanced. The experiments conducted on various multi-sensor images demonstrate the effectiveness of the proposed method.
Thermal interaction of short-pulsed laser focused beams with skin tissues

Time-dependent thermal interaction is developed in a skin tissue cylinder subjected to the irradiation of a train of short laser pulses. The skin embedded with a small tumor is stratified as three layers: epidermis, dermis and subcutaneous fat with different optical, thermal and physiological properties. The laser beam is focused to the tumor site by an objective lens for thermal therapy. The ultrafast radiation heat transfer of the focused beam is simulated by the transient discrete ordinates method. The transient Pennes bio-heat equation is solved numerically by the finite volume method with alternating direction implicit scheme. Emphasis is placed on the characterization of the focused beam propagation and absorption and the temperature rise in the focal spot. The effects of the focal spot size and location, the laser power, and the bio-heat equation are investigated. Comparisons with collimated irradiation are conducted. The focused beam can penetrate a greater depth and produce higher temperature rise at the target area, and thus reduce the possibility of thermal damage to the surrounding healthy tissue. It is ideal for killing cancerous cells and small tumors.
Symptom Profiles, Work Productivity and Quality of Life among Chinese Female Cancer Survivors

Background: Cervical and breast cancer are very common forms of malignancy among women. With increasingly long survivorship rates, it is essential to explore the impact of cancer survivorship on the work productivity and quality of life (QOL) of cancer survivors. Objectives: This study aimed to assess the symptom prevalence, work productivity and QOL among Chinese breast cancer survivors (BCS) and cervical cancer survivors (CCS), and to explore factors related to their work productivity and QOL. Methods: A cross-sectional study design was used. Chinese women with a history of primary breast or cervical cancer were included. Results: A total of 192 subjects joined the study. Participants reported a mean reduction in work productivity of 16%, although these women reported relatively good QOL compared with EORTC reference values. Significant predictors for work productivity loss included depression symptoms and cognitive limitations. Job stress, disease stage, anxiety symptoms, cognitive limitations, and physical functioning levels were statistically significant predictors of global QOL. These variables accounted for 55.4% of variance of QOL. Conclusion: This study found that cancer survivors reported higher levels of anxiety and cognitive limitations, and lower levels of work productivity and QOL. Cognitive symptoms were significantly related to cancer survivors’ work limitation and QOL. Implications for practice: Nurses and other healthcare professionals should be aware that BCS and CCS reported higher levels of work limitations and lower levels of QOL. Future research should develop relevant interventions to maximize cancer survivors’ work productivity and QOL.
Applications of simulation models in finance and insurance

We describe a number of applications of simulation methods to practical problems in finance and insurance. The first entails the simulation of a two-stage model of a property-casualty insurance operation. The second application simulates the operation of an insurance regime for home equity conversion mortgages (also known as reverse mortgages). The third is an application of simulation in the context of Value at Risk, a widely-used measure for assessing the performance of portfolios of assets and/or liabilities. We conclude with an application of simulation in the testing of the efficient market hypothesis of the U.S. stock market.
Gsh‐1: A novel murine homeobox gene expressed in the central nervous system

We report the characterization of Gsh‐1, a novel murine homeobox gene. Northern blot analysis revealed a transcript of approximately 2 kb in size present at embryonic days 10.5, 11.5, and 12.5 of development. The cDNA sequence encoded a proline rich motif, a polyalanine tract, and a homeodomain with strong homology to those encoded by the clustered Hox genes. The Gsh‐1 expression pattern was determined for days E8.5 to E13.5 by whole mount and serial section in situ hybridizations. Gsh‐1 transcription was restricted to the central nervous system. Expression is present in the neural tube and hindbrain as two continuous, bilaterally symmetrical stripes within neural epithelial tissue. In the mesencephalon, expression is seen as a band across the most anterior portion. There is also diencephalon expression in the anlagen of the thalamus and the hypothalamus as well as in the optic stalk, optic recess, and the ganglionic eminence. Moreover, through the use of fusion proteins containing the Gsh‐1 homeodomain, we have determined the consensus DNA ninding site of the Gsh‐1 homeoprotein to be GCT/CA/CATTAG/A. ©1995 Wiley‐Liss, Inc.
Contiki-based IEEE 802.15.4 node's throughput and wireless channel utilization analysis

In this paper, we analyse the impact of the Contiki Operating System (OS), and its Carrier Sense Multiple Access and Collision Avoidance (CSMA-CA) implementation on an IEEE 802.15. 4 node's throughput and wireless channel utilization. The analysis is based on Contiki's Rime networking protocol stack, and its target is to determine an upper bound for the stated metrics. We explain that in Contiki with CSMA-CA as a MAC layer protocol, a node's throughput is limited to 8.1 kbps, at maximum, even without power saving features. In order to maximize a node's transmission capability, we modified Contiki's CSMA-CA implementation. A number of simulations are performed, and it is observed that with our modifications node throughput reaches 45 kbps, at maximum. Simulation results for estimating the channel capacity with our modified CSMA-CA MAC layer protocol show that the average per-node delay is low when the offered data load remains below 100 kbps. For an offered load of 100 kbps, the channel drops almost 20% of packets. Going beyond 100 kbps results in large latencies and significant packet loss. Results presented in this paper can serve as basis for the available bandwidth estimation in Wireless Sensor Networks (WSNs), QoS-based routing, and design of congestion control algorithm.
Assessment on Reliability of 1.0mm pitch BGA Package double-side assembly

The article consists of a Powerpoint presentation on reliability of 1.0 mm pitch BGA package double-side assembly. The paper concludes that the for PCBA structure using in ATC experiments, we found: 1. for all groups, the first crack will initialize from solder joints of corner; 2. for SnAgCu alloy, double side mirror will reduce life by over 3 times compared with single-side whether by using experiment or FEM; while for SnPb alloy, FEM analysis show the reduction degree will increase more; 3. Double side offset assembly shape will increase the solder joints reliability to some extent compared with mirror. Reasons of solder joints reliability reduction for BGA double-side assembly maybe include package structure, solder alloy, PCB thickness, offset distance, and so on, these factors will interact.
Local and global processing biases fail to influence face, object, and word recognition

Three studies investigated whether encouraging people to use either global or local processing using the Navon task (Navon, 1977) influenced recognition memory for upright and inverted pictures of faces, objects, and words. Contrary to the striking results of Macrae and Lewis (2002), no effect of such cross-task processing biases were found. In particular, encouraging global processing did not improve the recognition of upright faces, whilst encouraging local processing failed to improve the recognition of words. These results suggest that using the Navon task to manipulate people's processing strategy typically does not have a large, consistent effect on recognition memory. Instead, prior performance of an unrelated task may only influence subsequent recognition memory under restricted circumstances. Therefore, the cross-task processing bias effect does not provide researchers with a powerful, reliable tool with which to investigate the relative importance of local versus global, configural processing of visual stimuli.
Diffusion and relaxation mapping of cartilage‐bone plugs and excised disks using microscopic magnetic resonance imaging

Spatially resolved maps of proton self‐diffusion coefficients (D) and relaxation times (T1 and T2) were obtained on cartilage‐bone plug samples and on excised disks of canine cartilage at a transverse resolution of 30 μm, using microscopic magnetic resonance imaging (micro‐MRI). Results are compared for excised disks of cartilage and intact cartilage‐bone plugs. Correlations between the absolute water concentration, the self‐diffusion coefficient and the T1 relaxation are reported. The diffusion coefficient is not a linear function of water concentration. The thickness of the disks is 600 μm, compared with the ca. 900 μm observed for the cartilage‐bone plugs, presumably due to the absence of the interfacial or tidemark layer of interdigitated cartilage and bone in the former samples. Our results suggest that excised disks of cartilage are excellent models for the articular surface and the first 500 or so microns of tissue. The molecular parameters of spin‐spin and spin‐lattice relaxation times, as well as the water self‐diffusion coefficient, are virtually identical in the two types of samples. However, the cartilage‐bone plugs have the additional feature of permitting the study of the tidemark region, a region that likely plays a major role in the transmission of mechanical force.
Stages of Change and Patient Activation Measure Scores in the Context of Incentive-Based Health Interventions

Purpose. To determine if two widely used behavioral change measures—Stages of Change (SoC) and Patient Activation Measure (PAM)—correlate with each other, are affected by financial incentives, or predict positive outcomes in the context of incentive-based health interventions. Design. Secondary analysis of two randomized controlled trials of incentives for weight loss and for improved diabetes self-monitoring. Setting. Philadelphia, Pennsylvania; Newark, New Jersey. Subjects. A total of 132 obese and 75 diabetic adults enrolled in one of two trials. Measures. SoC and PAM scores; weight loss and usage rate of diabetes self-monitoring equipment. Analysis. Multiple regression; Kruskal-Wallis test. Results. We found no association between baseline SoC and PAM scores in either study (p = .30 and p = .89). Regression models showed no association between baseline PAM score and SoC and subsequent outcomes for either study (weight loss study: PAM: p = .14, SoC: p = .1; diabetes study: PAM: p = .45, SoC: p = .61). Change in PAM score and SoC among participants in the intervention groups did not differ by study arm or among participants with better outcomes. Conclusion. PAM score and SoC may not effectively predict success or monitor progress among individuals enrolled in incentive-based interventions.
Exploring subsegmental and suprasegmental features for a text-dependent speaker verification in distant speech signals

Existing automatic speaker veriﬁcation (ASV) systems perform with high accuracy when the speech signal is collected close to the mouth of the speaker ( < 1 ft). However, the performance of these systems reduces signiﬁcantly when speech signals are collected at a distance from the speaker (2-6 ft). The objec-tive of this paper is to address some issues in the processing of speech signals collected at a distance from the speaker, for text-dependent ASV system. An acoustic feature derived from short segments of speech signals is proposed for the ASV task. The key idea is to exploit the high signal-to-noise nature of short segments of speech in the vicinity of impulse-like excitations. We show that the proposed feature yields better performance of speaker veriﬁcation than the mel-frequency cepstral coefﬁcients (MFCCs). In addition, regions of high signal-to-reverberation ratio, duration and pitch information are used to improve the performance of the ASV system for distant speech.
Recruitment of RNA Polymerase Is a Rate-limiting Step for the Activation of the ς54 Promoter Pu ofPseudomonas putida *

The activity of the ς54-promoter Pu of Pseudomonas putida was examined in vitro with a DNA template lacking upstream activating sequences, such that RNA polymerase can be activated by the enhancer-binding protein XylR only from solution. Although the transcription activation pathway in this system lacked the step of integration host factor (IHF)-mediated looping of the XylR·DNA complex toward the prebound RNA polymerase, IHF still stimulated promoter activity. The positive effect of IHF became evident not only with XylR from solution, but also with other ς54-dependent activators such as NtrC and NifA. Furthermore, an equivalent outcome was shown for the nonspecific DNA-binding protein HU. This stimulation of transcription in the absence of the enhancer was traced to the recruitment of RNA polymerase (i.e. increased efficiency of formation of closed complexes) brought about by IHF or HU binding. Thus, under limiting concentrations of the polymerase, the factor-mediated binding of the enzyme to Pu seems to enter a kinetic checkpoint in the system that prevents the XylR-mediated formation of an open complex.
Deploying Sensor Nets with Guaranteed Capacity and Fault Tolerance

We consider the problem of deploying or repairing a sensor network to guarantee a specified level of multi-path connectivity (k-connectivity) between all nodes. Such a guarantee simultaneously provides fault tolerance against node failures and high capacity through multi-path routing. We design and analyze the first algorithms that place an almost-minimum number of additional sensors to augment an existing network into a k-connected network, for any desired parameter k. Our algorithms have provable guarantees on the quality of the solution. Specifically, we prove that the number of additional sensors is within a constant factor of the absolute minimum, for any fixed k. We have implemented greedy and distributed versions of this algorithm, and demonstrate in simulation that they produce high-quality placements for the additional sensors. We are also in the process of using our algorithms to deploy nodes in a physical sensor network using a mobile robot.
Management of adult patients with ascites due to cirrhosis

Ascites is the most common of the major complications of cirrhosis. The development of ascites is an important landmark in the natural history of cirrhosis and has been proposed as an indication for liver transplantation. The initial evaluation of a patient with ascites should include a history, physical evaluation, and abdominal paracentesis with ascitic fluid analysis. Treatment should consist of abstinence from alcohol, sodium restricted diet, and diuretics. This regimen is effective in ≈90% of patients. The treatment options for the diuretic-resistant patients include serial therapeutic paracenteses, liver transplantation, and peritoneovenous shunting.
A Novel Approach to Remote Teaching: Multilanguage Magnetic Measurement Experiment

A novel approach to electric and electronic measurement teaching has been developed, allowing students from different countries to gain access to measurement on real instrumentation, with no need for expensive laboratory instrumentation and personnel. It is shown using an adaptive magnetic measurement experiment on a multilingual base. Following current European Union (EU) efforts to expand the newest educational principles to partner and neighboring countries, this approach can be used to spread the thriving knowledge economy and lifelong learning idea among them, thus creating a realizable European education and research area. Developed in the framework of a remotely accessible laboratory that is realized at the University of Sannio, Benevento, Italy, the experiment allows students to analyze the characteristics of different magnetic materials and the influence of hysteresis phenomena on magnetic and electrical circuits. The experiment includes the interactive verification of the knowledge acquired by the students and can be executed in the following four languages: 1) English; 2) Italian; 3) Croatian; and 4) Romanian.
A simple mushroom body in an African scarabid beetle

This account describes novel mushroom body organization in a coleopteran insect, the African fruit chafer Pachnoda marginata. Each of its prominent mushroom bodies possesses a pair of simple calyces comprising two populations of Kenyon cells, the dendrites of which are organized into a central and an annular zone. Kenyon cells of the central zone extend their dendrites downward and toward the perimeter of the calyx. Their axon‐like processes in the pedunculus are densely packed to make up a distinctive shaft of neuropil. Toward the front of the brain, the shafts, one from each calyx, bifurcate to provide a pair of subdivisions in the medial and vertical lobes. Dendrites of Kenyon cells supplying the annular zone extend from the calyx perimeter toward its center. Axons from the annular zones of both calyces together provide a sleeve of axons that ensheaths the two shafts. Sleeve axons bifurcate to provide a second pair of divisions in each of the lobes. These arrangements provide each lobe with a discrete representation of the two Kenyon cell populations of the two calyces. Kenyon cells supplying the central zone have dendritic morphologies reminiscent of class II clawed Kenyon cells that supply the γ lobes in other taxa. Kenyon cells supplying axons to the sleeve are suggestive of class III Kenyon cell morphologies described from cockroaches and termites. Elaborate intrinsic neurons, comparable to exotic intrinsic neurons in the honey bee γ lobes, have processes that interact with shaft axons. The present observations suggest that mushroom bodies of Pachnoda represent either a basal organization entirely lacking class I Kenyon cells or an evolutionary modification in which there is no clear morphological distinction of class I and II Kenyon cells. In either case, cellular organization in Pachnoda's mushroom body is simple compared with that of other taxa. J. Comp. Neurol. 478:219–232, 2004. © 2004 Wiley‐Liss, Inc.
Neural Approximation-Based Adaptive Control for a Class of Nonlinear Nonstrict Feedback Discrete-Time Systems

In this paper, an adaptive control approach-based neural approximation is developed for a class of uncertain nonlinear discrete-time (DT) systems. The main characteristic of the considered systems is that they can be viewed as a class of multi-input multioutput systems in the nonstrict feedback structure. The similar control problem of this class of systems has been addressed in the past, but it focused on the continuous-time systems. Due to the complicacies of the system structure, it will become more difficult for the controller design and the stability analysis. To stabilize this class of systems, a new recursive procedure is developed, and the effect caused by the noncausal problem in the nonstrict feedback DT structure can be solved using a semirecurrent neural approximation. Based on the Lyapunov difference approach, it is proved that all the signals of the closed-loop system are semiglobal, ultimately uniformly bounded, and a good tracking performance can be guaranteed. The feasibility of the proposed controllers can be validated by setting a simulation example.