nils-herrmann/clean_scirepeval huggingface dataset:
The advantages of using traditional Chinese medicine as an adjunctive therapy in the whole course of cancer treatment instead of only terminal stage of cancer.

Recent studies indicate that Traditional Chinese medicine (TCM) can play an important role in the whole course of cancer treatment such as recovery stages of post-operative, radiotherapy or chemotherapy stages instead of only terminal stage of cancer. In this review, we have summarized current evidence for using TCM as adjuvant cancer treatment in different stages of cancer lesions. Some TCMs (e.g., TJ-41, Liu-jun-zi-tang, PHY906, Coumarin, and Aescine) are capable of improving the post-operative symptoms such as fatigue, pain, appetite, diarrhea, nausea, vomiting, and lymphedema. Some TCMs (e.g., Ginseng, Huang-Qi, BanZhiLian, TJ-48, Huachansu injection, Shenqi fuzheng injection, and Kanglaite injection) in combination with chemo- or radio-therapy are capable of enhancing the efficacy of and diminishing the side effects and complications caused by chemo- and radiotherapy. Taken together, they have great advantages in terms of suppressing tumor progression, relieving surgery complications, increasing the sensitivity of chemo- and radio- therapeutics, improving an organism's immune system function, and lessening the damage caused by surgery, chemo- or radio-therapeutics. They have significant effects on relieving breast cancer-related lymphedema, reducing cancer-related fatigue and pain, improving radiation pneumonitis and gastrointestinal side effects, protecting liver function, and even ameliorating bone marrow suppression. This review of those medicines should contribute to an understanding of Chinese herbal medicines as an adjunctive therapy in the whole course of cancer treatment instead of only terminal stage of cancer, by providing useful information for development of more effective anti-cancer drugs and making more patients "survival with cancer" for a long time.
Performance analysis of point multiplication algorithms in ECDH for an end-to-end VoIP network

Voice over Internet Protocol (VoIP) has accomplished enormous growth in recent years due to its low cost and flexible service enhancement. Session Initiation Protocol (SIP) is a communication protocol for signaling and managing the media streams (voice, video and audio) over IP based network. The well-known contribution in securing a VoIP voice packet is Advanced Encryption Standard (AES) with a secret key negotiation over Elliptic Curve Diffie Hellman (ECDH). In this paper, we evaluate the performance of scalar multiplication algorithms (binary, NAF, MoF) in order to estimate signaling response and call setup time over ECDH based VoIP protection. Finally, experimental results show that an appropriate selection of scalar multiplication algorithms helps to increase the trustworthiness between service provider and user in-terms of call setup delay.
Positive psychological capital : Beyond human and social capital

F or years, business academics and practitioners have operated in the belief that sustained competitive advantage could accrue from a variety of industrylevel entry barriers, such as technological supremacy, patent protections, and government regulations. However, technological change and diffusion, rapid innovation, and deregulation have eroded these widely recognized barriers. In today’s environment, which requires flexibility, innovation, and speed-to-market, effectively developing and managing employees’ knowledge, experiences, skills, and expertise—collectively defined as “human capital”—has become a key success factor for sustained organizational performance.
Arterial Penetration With Blunt-Tipped Cannulas Using Injectables: A False Sense of Safety?

An otolaryngology phenol applicator kit can be successfully and safely used in the performance of chemical matricectomy. The applicator kit provides a convenient way to apply phenol to the nail matrix precisely and efficiently, whereas minimizing both the risk of application to nonmatrix surrounding soft tissue and postoperative recovery time.Given the smaller size of the foam-tipped applicator, we feel that this is a more precise tool than traditional cotton-tipped applicators for chemical matricectomy. Particularly with regard to lower extremity nail ablation and matricectomy, minimizing soft tissue inflammation could in turn reduce the risk of postoperative infections, decrease recovery time, as well and make for a more positive overall patient experience.
Host pigments: potential facilitators of photosynthesis in coral symbioses.

Reef-building corals occur as a range of colour morphs because of varying types and concentrations of pigments within the host tissues, but little is known about their physiological or ecological significance. Here, we examined whether specific host pigments act as an alternative mechanism for photoacclimation in the coral holobiont. We used the coral Montipora monasteriata (Forskål 1775) as a case study because it occurs in multiple colour morphs (tan, blue, brown, green and red) within varying light-habitat distributions. We demonstrated that two of the non-fluorescent host pigments are responsive to changes in external irradiance, with some host pigments up-regulating in response to elevated irradiance. This appeared to facilitate the retention of antennal chlorophyll by endosymbionts and hence, photosynthetic capacity. Specifically, net P(max) Chl a(-1) correlated strongly with the concentration of an orange-absorbing non-fluorescent pigment (CP-580). This had major implications for the energetics of bleached blue-pigmented (CP-580) colonies that maintained net P(max) cm(-2) by increasing P(max) Chl a(-1). The data suggested that blue morphs can bleach, decreasing their symbiont populations by an order of magnitude without compromising symbiont or coral health.
Data-Driven Soft Sensor Modeling for Algal Blooms Monitoring

Currently, salvage is considered as an effective way for protecting ecosystems of inland water from toxin-producing algal blooms. Yet, the magnitude of algal blooms, which is the essential information required for dispatching salvage boats, cannot be estimated accurately with low cost in real time. In this paper, a data-driven soft sensor is proposed for algal blooms monitoring, which estimates the magnitude of algal blooms using data collected by inexpensive water quality sensors as input. The modeling of the soft sensor consists of two steps: 1) magnitude calculation and 2) regression model training. In the first step, we propose an active learning strategy to construct high-accuracy image classification model with ~50 % less labeled data. Based on this model, we design a new algorithm that recognizes algal blooms and calculates the magnitude using water surface pictures. In the second step, we propose to use Gaussian process to train the regression model that maps the multiparameter water quality sensor data to the calculated magnitude of algal blooms and learn the parameters of the model automatically from the training data. We conduct extensive experiments to evaluate our modeling method, AlgaeSense, based on over 200 000 heterogeneous sensor data records collected in four months from our field-deployed sensor system. The results indicate that the soft sensor can accurately estimate the magnitude of algal blooms in real time using data collected by just three kinds of inexpensive water quality sensors.
Translation deregulation in human disease

Advances in sequencing and high-throughput techniques have provided an unprecedented opportunity to interrogate human diseases on a genome-wide scale. The list of disease-causing mutations is expanding rapidly, and mutations affecting mRNA translation are no exception. Translation (protein synthesis) is one of the most complex processes in the cell. The orchestrated action of ribosomes, tRNAs and numerous translation factors decodes the information contained in mRNA into a polypeptide chain. The intricate nature of this process renders it susceptible to deregulation at multiple levels. In this Review, we summarize current evidence of translation deregulation in human diseases other than cancer. We discuss translation-related diseases on the basis of the molecular aberration that underpins their pathogenesis (including tRNA dysfunction, ribosomopathies, deregulation of the integrated stress response and deregulation of the mTOR pathway) and describe how deregulation of translation generates the phenotypic variability observed in these disorders. Translation deregulation causes many human diseases, which can be broadly categorized into tRNA or ribosomal dysfunction, and deregulation of the integrated stress response or the mTOR pathway. The complexity of the translation process and its cellular contexts could explain the phenotypic variability of these disorders.
Branchio-oculo-facial syndrome: a three generational family with markedly variable phenotype including neonatal lethality.

Branchio-oculo-facial syndrome (BOFS) is a rare autosomal dominant condition with variable expressivity, caused by mutations in the TFAP2A gene. We report a three generational family with four affected individuals. The consultand has typical features of BOFS including infra-auricular skin nodules, coloboma, lacrimal duct atresia, cleft lip, conductive hearing loss and typical facial appearance. She also exhibited a rare feature of preaxial polydactyly. Her brother had a lethal phenotype with multiorgan failure. We also report a novel variant in TFAP2A gene. This family highlights the variable severity of BOFS and, therefore, the importance of informed genetic counselling in families with BOFS.
Feature Selective Networks for Object Detection

Objects for detection usually have distinct characteristics in different sub-regions and different aspect ratios. However, in prevalent two-stage object detection methods, Region-of-Interest (RoI) features are extracted by RoI pooling with little emphasis on these translation-variant feature components. We present feature selective networks to reform the feature representations of RoIs by exploiting their disparities among sub-regions and aspect ratios. Our network produces the sub-region attention bank and aspect ratio attention bank for the whole image. The RoI-based sub-region attention map and aspect ratio attention map are selectively pooled from the banks, and then used to refine the original RoI features for RoI classification. Equipped with a lightweight detection subnetwork, our network gets a consistent boost in detection performance based on general ConvNet backbones (ResNet-101, GoogLeNet and VGG-16). Without bells and whistles, our detectors equipped with ResNet-101 achieve more than 3% mAP improvement compared to counterparts on PASCAL VOC 2007, PASCAL VOC 2012 and MS COCO datasets.
Analysis and Controlled Synthesis of Inhomogeneous Textures

Many interesting real-world textures are inhomogeneous and/or anisotropic. An inhomogeneous texture is one where various visual properties exhibit significant changes across the texture’s spatial domain. Examples include perceptible changes in surface color, lighting, local texture pattern and/or its apparent scale, and weathering effects, which may vary abruptly, or in a continuous fashion. An anisotropic texture is one where the local patterns exhibit a preferred orientation, which also may vary across the spatial domain. While many example-based texture synthesis methods can be highly effective when synthesizing uniform (stationary) isotropic textures, synthesizing highly non-uniform textures, or ones with spatially varying orientation, is a considerably more challenging task, which so far has remained underexplored. In this paper, we propose a new method for automatic analysis and controlled synthesis of such textures. Given an input texture exemplar, our method generates a source guidance map comprising: (i) a scalar progression channel that attempts to capture the low frequency spatial changes in color, lighting, and local pattern combined, and (ii) a direction field that captures the local dominant orientation of the texture. Having augmented the texture exemplar with this guidance map, users can exercise better control over the synthesized result by providing easily specified target guidance maps, which are used to constrain the synthesis process.
Corpus Linguistics at Work

“The book offers a combined discussion of the main theoretical, methodological and application issues related to corpus work. Thus, starting from the definition of what is a corpus and why reading a corpus calls for a different methodology from reading a text, the underlying assumptions behind corpus work are discussed. The two main approaches to corpus work are discussed as the ‘corpusbased’ and the ‘corpus-driven’ approach and the theoretical positions underlying them explored in detail. The book adopts and exemplifies the parameters of the corpus-driven approach and posits a new unit of linguistic description defined systematically in the light of corpus evidence. The applications where the corpus-driven approach is exemplified are language teaching and contrastive linguistics. Alternating between practical examples and theoretical evaluation, the reader is led step-by-step to a detailed understanding of the issues involved in corpus work and, at the same time, tempted to explore for himself some of the major applications where a corpus-driven methodology can reveal unprecedented insights into linguistic patterning.”—From the publisher’s announcement
CFD Analysis of PACE Formula-1 Car

An analytical study on air flow effects and resulting dynamics on the PACE Formula 1 race car is presented. The study incorporates Computational Fluid Dynamic analysis and simulation to maximize down force and minimize drag during high speed maneuvers of the race car. Using Star CCM+ software and mentoring provided by CD – Adapco, the simulation employs efficient meshing techniques and realistic loading conditions to understand down force on front and rear wing portions of the car as well as drag created by all exterior surfaces. Wing and external surface loading under high velocity runs of the car are illustrated. Optimization of wing orientations (direct angle of attack) and geometry modifications on outer surfaces of the car are performed to enhance down force and lessen drag for maximum stability and control during operation. The use of Surface Wrapper saved months of time in preparing the CAD model. The Transform tool and Contact Prevention tool in Star CCM+ proved to be an efficient means of correcting and modifying geometry instead of going back to the CAD model. The CFD simulations point out that the current front and rear wings do not generate the desired downforce and that the rear wing should be redesigned.
Rotating line cameras: Model and calibration

The studied camera is basically just a line of pixel sensors, which can be rotated on a full circle, describing a cylindrical surface this way. During a rotation we take individual shots, line by line. All these line images define a panoramic image on a cylindrical surface. This camera architecture (in contrast to the plane segment of the pinhole camera) comes with new challenges, and this report is about a classification of different models of such cameras and their calibration. Acknowledgment. The authors acknowledge comments, collaboration or support by various students and colleagues at CITR Auckland and DLR Berlin-Adlershof. report1_HWK.tex; 22/03/2006; 9:47; p.1
A Multimodal Biometric Recognition System based on Fusion of Palmprint , Fingerprint and Face

Multibiometric recognition systems, which aggregate information from multiple biometric sources, are gaining popularity because they are able to overcome limitaions such as non-universality, noisy sensor data a nd susceptibility. Multibiometric systems promise significant improvements as higher accuracy and increased resistance to spoofing over the single biometric systems. This paper proposes a method which integrates fingerprint, palmprint and face and performs the fusion at score level. Three biometric traits are collected and stored into database at t he time of Enrollment. In the Authentication stage query images will be co mpared against the stored templates and match score is generated.AOV based minutiae algorithm is proposed for fingerprint matching. To compare Face images PCA analysis is used. Palmprint matching score can be generated usi ng PCA analysis. This matching score will be passed to the fusion stage. Fusion stage includes normalization of the s cores. Weights can be assigned according to the imp ortance of the biometric traits. These weighted and normalized sco re will be combined to generate a total score. This total score will be passed to the decision stage. In the decision stage total score will be compared with certain threshol d value. That will realize person’s authenticity whether a person is g enuine or imposter.
Classification-based financial markets prediction using deep neural networks

Deep neural networks (DNNs) are powerful types of artificial neural networks (ANNs) that use several hidden layers. They have recently gained considerable attention in the speech transcription and image recognition community (Krizhevsky et al., 2012) for their superior predictive properties including robustness to overfitting. However their application to algorithmic trading has not been previously researched, partly because of their computational complexity. This paper describes the application of DNNs to predicting financial market movement directions. In particular we describe the configuration and training approach and then demonstrate their application to backtesting a simple trading strategy over 43 different Commodity and FX future mid-prices at 5-minute intervals. All results in this paper are generated using a C++ implementation on the Intel Xeon Phi co-processor which is 11.4x faster than the serial version and a Python strategy backtesting environment both of which are available as open source code written by the authors.
Bodily Influences on Emotional Feelings : Accumulating Evidence and Extensions of William James ’ Theory of Emotion

William James’ theory of emotion has been controversial since its inception, and a basic analysis of Cannon’s (1927) critique is provided. Research on the impact of facial expressions, expressive behaviors, and visceral responses on emotional feelings are each reviewed. A good deal of evidence supports James’ theory that these types of bodily feedback, along with perceptions of situational cues, are each important parts of emotional feelings. Extensions to James’ theory are also reviewed, including evidence of individual differences in the effect of bodily responses on emotional experience.
1 Design and Hybrid Control of a Two Wheeled Robotic Platform

As the level of human interaction with robotic systems increases, robot mobility becomes more important. Two wheeled robots offer higher levels of mobility and manoeuvrability when compared to their four wheeled counterparts with the ability to turn on the spot and easily negotiate tight corners. Whilst the stabilisation of two wheeled platforms has been well studied, there is no published research on alternative actuation methods. This study proposes the implementation of a reaction wheel actuator to balance a two wheeled platform within small angular deviations from its equilibrium position. It is proposed that the use of a reaction wheel to deliver the balancing torque instead of the platform drive wheels will lower energy consumption of the system. This hypothesis was derived from the idea that there are fewer energy losses in delivering the torque from the reaction wheel in comparison to the platform wheels. After the design and construction of the platform, standardised tests were carried out to make energy consumption comparisons between the reaction wheel actuated (hybrid) system and the traditional baseline system. The results from these experiments showed that the hybrid system consumed approximately 21% less energy than the baseline system and therefore proves the feasibility of adding a reaction wheel actuator to the system. Index Terms ---Reaction wheel, robotics, state-space control, linear quadratic regulator, energy efficient balancing.
Ferulic acid dimer inhibits lipopolysaccharide-stimulated cyclooxygenase-2 expression in macrophages.

Phenylpropanoids may act as nonsteroidal anti-inflammatory drug (NSAID)-like compounds. 4-cis, 8-cis-Bis (4-hydroxy-3-methoxyphenyl)-3, 7-dioxabicyclo-[3.3.0]octane-2,6-dione (bis-FA, compound 2), a dimer of ferulic acid, was synthesized from ferulic acid (1), and its effect on lipopolysaccharide (LPS)-stimulated cyclooxygenase-2 (COX-2) expression in RAW 264.7 cells was compared with those of the parent ferulic acid (1) and of iso-ferulic acid (3-hydroxy-4-methoxycinnamic acid) (3). LPS-induced gene expression of COX-2 was markedly inhibited by compound 2 at a concentration of 10 microM and by compound 3 at 100 microM, but was not inhibited by compound 1 at 100 microM. This observation suggests that compound 2 may possess potent anti-inflammatory activity. These ferulic acid-related compounds were able to scavenge the stable 1, 1-diphenyl-2-picrylhydrazyl (DPPH) radical. The 50% inhibitory concentration for DPPH radicals declined in the order 3 (40.20 mM) > 2 (3.16 mM) > 1 (0.145 mM). Compound 1 possessed potent anti-radical activity, but no COX-2 inhibitory activity, which may be a result of enhancement of its conjugate properties by abstraction of an H atom from the phenolic OH group, causing loss of phenolic function. In contrast, inhibition of COX-2 expression by compounds 2 and 3 could be caused by their increased phenolic function, which is associated with decreased anti-radical activity. Compounds 2 and 3, particularly 2, may have potential as NSAID-like compounds.
A High Efficiency WCDMA RF Power Amplifier With Adaptive, Dual-Mode Buck-Boost Supply and Bias-Current Control

Radio-frequency (RF) power amplifiers (PAs) are often the most power-consuming blocks in portable wireless systems, and maintaining high PA efficiency at heavy and light loads is therefore critical for extended battery life. This letter presents how a 0.5-mum CMOS dynamically adaptive, dual-mode buck-boost power supply and bias-current control circuit improves PA efficiency. The proposed system is validated with a 1.96-GHz, 25-dBm SiGe heterojunction bipolar transistor (HBT) wideband code division multiple access RF PA, where its supply voltage and bias current are dynamically adjusted from 0.4 to 4.5 V and 25 to 220mA, respectively, over an output power range of -50 to 25dBm. The prototype system is functional for a 1.8-4.2V input supply range, meeting adjacent- and alternate-channel leakage ratio specifications with less than 10% of error vector magnitude across the entire power range. The average efficiency of the dynamically adaptive system (13.67%) was 7times better than the corresponding fixed-supplied, fixed-biased scheme (1.95%), with the same HBT PA