gebhart/patrepeval huggingface dataset:
A Novel Risk Mitigation & Cloud-Based Disaster Recovery Framework for Small to Medium Size Businesses (2021)

Current guidelines and frameworks for disaster recovery and business continuity focus on helping corporations and large enterprises. With a rising number of vendors offering cloud computing solutions, most small to medium-size businesses do not count on the minimum number of users to qualify for any tier package. Moreover, the cost of purchasing a solution that does not scale to fit the needs of a small business is a consistent issue. Our solution presents a novel framework granting medium to small-size businesses the opportunity to mitigate risk and resume activities after a disaster has taken place. Furthermore, we present several recovery alternatives using a cloud-based storage solution. The results show that an optimal recovery time objective can be achieved by allowing users to retrieve backups from any platform or device with web-browsing capabilities. Also, a high level of integrity on each client can be reached, which lowers the chances of losing data or exposing financial records to an attacker.
Generating hierarchical system descriptions for software error localization (2003)

The purpose of this study is to quantify ratios of coupling and cohesion and use them in the generation of hierarchical system descriptions. The ability of the hierarchical descriptions to localize errors by identifying error-prone system structure is evaluated using actual error data. Measures of data interaction called data bindings, are used as the basis for calculating software coupling and cohesion. A 135000 source line system from a production environment has been selected for empirical analysis. Software error data were collected from high-level system design through system test and from field operation of the system. A set of five tools is applied to calculate the data bindings automatically, and cluster analysis is used to determine a hierarchical description of each of the system's 77 subsystems. An analysis-of-variance model is used to characterize subsystems and individual routines that had either many/few errors or high/low error correction effort.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Shuangtengbitong tincture treatment of collagen-induced arthritis via downregulation of the expression of IL-6, IL-8, TNF-α and NF-κB (2012)

Rheumatoid arthritis (RA) is a chronic, systemic autoimmune disease and may lead to joint damage, synovial membrane destruction and cartilage and bone damage. RA is closely associated with increased expression of interleukin (IL)-6, IL-8, tumor necrosis factor-α (TNF-α) and nuclear transcription factor-κB (NF-κB). Therefore, inhibition of the expression of IL-6, IL-8, TNF-α and NF-κB is a promising strategy for the development of novel anti-RA therapies. The aim of this study was to investigate the effect of shuangtengbitong tincture (STBT) on the expression of IL-6, IL-8, TNF-α and NF-κB in synovial tissues of rats with collagen-induced arthritis (CIA). STBT as a clinical prescription created at Fujian University of Traditional Chinese Medicines (TCM) Affiliated People's Hospital has been shown to be clinically effective in the treatment of RA. The model of Wistar rats with CIA was created using bovine type II collagen. The two treatment groups with CIA were administered STBT (1 ml per time) or Votalin (∼1 cm per time) for ∼1 month continuously. Following treatment, STBT suppressed paw swelling significantly (P<0.05) compared with the model group. STBT also improved pathological changes, STBT-treated rats showed a significant improvement in synovial hyperplasia, inflammatory infiltration, cartilage and bone destruction and other symptoms. The protein expression levels of IL-6, IL-8, TNF-α and NF-κB were markedly suppressed in synovial tissues of STBT-treated and Votalin-treated rats. Our findings demonstrate for the first time that STBT markedly reduces paw swelling, improves pathological changes and increases the expression of IL-6, IL-8, TNF-α and NF-κB in synovial tissues of CIA rats, which may partially explain the anti-RA activity of STBT.
Low-cost solar array project task 1: Silicon material. Gaseous melt replenishment system (1979)

The operation of a silicon production technique was demonstrated. The essentials of the method comprise chemical vapor deposition of silicon, by hydrogen reduction of chlorosilanes, on the inside of a quartz reaction vessel having large internal surface area. The system was designed to allow successive deposition-melting cycles, with silicon removal being accomplished by discharging the molten silicon. The liquid product would be suitable for transfer to a crystal growth process, casting into solid form, or production of shots. A scaled-down prototype reactor demonstrated single pass conversion efficiency of 20 percent and deposition rates and energy consumption better than conventional Siemens reactors, via deposition rates of 365 microns/hr. and electrical consumption of 35 Kwhr/kg of silicon produced.
Characterization of film uniformity in LPCVD TEOS vertical furnace (2003)

Wafer uniformity of silicon oxide deposited on 8-in wafer using LPCVD TEOS vertical furnace is examined with an attempt to understand a source of poor uniformity in the bottom zone as observed in most TEOS batch process. By utilizing boat rotation capability, more information can be obtained regarding a possible flow dynamics of the reactive gases, the mechanism that might be responsible for thickness distribution within wafer. Importantly, the results from this study suggested that the nonuniformity of the oxide film deposited using TEOS is most influence by the kinetics of the decomposition reaction of TEOS rather than a temperature variation on the substrate surface.
AEFE: Automatic Embedded Feature Engineering for Categorical Features (2021)

The challenge of solving data mining problems in e-commerce applications such as recommendation system (RS) and click-through rate (CTR) prediction is how to make inferences by constructing combinatorial features from a large number of categorical features while preserving the interpretability of the method. In this paper, we propose Automatic Embedded Feature Engineering(AEFE), an automatic feature engineering framework for representing categorical features, which consists of various components including custom paradigm feature construction and multiple feature selection. By selecting the potential field pairs intelligently and generating a series of interpretable combinatorial features, our framework can provide a set of unseen generated features for enhancing model performance and then assist data analysts in discovering the feature importance for particular data mining tasks. Furthermore, AEFE is distributed implemented by task-parallelism, data sampling, and searching schema based on Matrix Factorization field combination, to optimize the performance and enhance the efficiency and scalability of the framework. Experiments conducted on some typical e-commerce datasets indicate that our method outperforms the classical machine learning models and state-of-the-art deep learning models.
The nucleotide sequence of RNA-2 of raspberry ringspot nepovirus (1992)

The nucleotide sequence of raspberry ringspot nepovirus (RRV) RNA-2 consists of 3928 nucleotides and a poly(A) tract at the 3' end. RNA-2 contains one open reading frame which encodes a polypeptide of M(r) 123508 (123K). Edman degradation located the N terminus of the coat protein 514 residues from the C-terminal end of the 123K protein, which suggests that the coat protein is released from the polyprotein by cleavage of a C-A bond. The RRV coat protein has some sequence similarities with the coat proteins of other nepoviruses, but is no more like any one nepovirus than another. In contrast, the portion of the 123K protein to the N-terminal side of the coat protein is similar in sequence to the corresponding parts of the polyproteins of tomato black ring and grapevine chrome mosaic nepoviruses, though not to those of other nepoviruses.
HazeWatch: A participatory sensor system for monitoring air pollution in Sydney (2013)

This paper describes our experiences with building and deploying a low-cost participatory system for urban air pollution monitoring in Sydney. Though air pollution imposes significant health costs on the urban community globally, today's published data on pollution concentrations is spatially too sparse, and does not allow for sufficiently accurate estimation of exposures for (potentially mobile) individuals in order to make medical inferences. The HazeWatch project described in this paper uses several low-cost mobile sensor units attached to vehicles to measure air pollution concentrations, and users' mobile phones to tag and upload the data in real time. The greater spatial granularity of data thus collected enables creation of pollution maps of metropolitan Sydney viewable in real-time over the web, as well as personalized apps that show the individual's exposure history and allow for route planning to reduce future exposure. We share the insights we obtained from building and trialling such a system in Sydney, and highlight challenges that can be addressed collaboratively by groups developing similar systems world-wide.
Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers (2018)

Noisy intermediate-scale quantum computing devices are an exciting platform for the exploration of the power of near-term quantum applications. Performing nontrivial tasks in such devices requires a fundamentally different approach than what would be used on an error-corrected quantum computer. One such approach is to use hybrid algorithms, where problems are reduced to a parameterized quantum circuit that is often optimized in a classical feedback loop. Here we describe one such hybrid algorithm for machine learning tasks by building upon the classical algorithm known as random kitchen sinks. Our technique, called quantum kitchen sinks, uses quantum circuits to nonlinearly transform classical inputs into features that can then be used in a number of machine learning algorithms. We demonstrate the power and flexibility of this proposal by using it to solve binary classification problems for synthetic datasets as well as handwritten digits from the MNIST database. Using the Rigetti quantum virtual machine, we show that small quantum circuits provide significant performance lift over standard linear classical algorithms, reducing classification error rates from 50% to $<0.1\%$, and from $4.1\%$ to $1.4\%$ in these two examples, respectively. Further, we are able to run the MNIST classification problem, using full-sized MNIST images, on a Rigetti quantum processing unit, finding a modest performance lift over the linear baseline.
Modifications de l'organisation texturale d'une montmorillonite calcique liees a l'adsorption d'un polysaccharide (1990)

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2.10 A 60GHz 28nm UTBB FD-SOI CMOS reconfigurable power amplifier with 21% PAE, 18.2dBm P<inf>1dB</inf> and 74mW P<inf>DC</inf> (2015)

The widespread deployment of high-data-rate wireless connectivity was enabled by the adoption of the WiGig (802.11ad) standard, consequently placing a challenge on integrated Power Amplifiers (PAs). To comply with system requirements, the PA must cover bands from 57 to 66GHz and deliver up to 10dBm RF modulated power, while OFDM modulations up to 16 or 64QAM are supported, implying a large Peak-to-Average Power Ratio (PAPR).
구개 선양낭포암의 두개내 침습 (1999)

선양낭포암의 두개내 침습은 매우 드물게 보고되어 있고 구개 선양낭포암이 두개내로 침습된 경우는 국내에서 보고된 바 없다. 침습 기전으로는 직접적인 침습, 신경주위 전이, 혈행성 전이등 세 가지 경로가 알려져 있다. 본 증례는 35세 여자환자로 우측 구개 선양낭포암으로 수술과 방사선치료를 받고 3년 10개월 후에 우측 삼차신경의 안신경 가지와...
A Metamodel and UML Profile for Networked Ontologies – The Complete Reference (2006)

In this paper we present integrated MOF compliant metamodels and UML profiles for OWL DL, the Semantic Web Rule Language (SWRL) and Ontology Mappings. Based on these metamodels and profiles, UML tools can be used for visual modeling of rule-extended ontologies and ontology mappings.
Morphology in‐Design Deposition of HfO <sub>2</sub> Thin Films (2008)

We investigated factors influencing the growth morphology of hafnium dioxide (HfO 2 ) thin films by glancing angle deposition, and found that a shape factor defined as the ratio of the deposition rate over the substrate rotation speed played a key role in determining the morphology of the films. By adjusting this factor, we fabricated successfully films of aligned HfO 2 nanorods, nanosprings, and nanohelix. Comparing with the flat films, these nanostructured films exhibited enhanced light transmittance and photocatalytic activity in hydrogen production from water splitting under ultraviolet radiation.
The Menstrual Cycle and Human Performance: An Overview (2000)

Abstract Physiological events during the normal menstrual cycle are determined by feedback loops within the hypothalamic-pituitary-ovarian axis. Hormonal changes within the menstrual cycle have potential impact on human performance. Relevant stages to consider are pre-menses and menses, the follicular and luteal phases separated by an abrupt elevation in lutenizing hormone and characterised by a sharp rise in body temperature coinciding with ovulation. Strenuous athletic training may affect the normal menstrual cycle. Such disruptions include delayed menarche in ballet dancers and gymnasts, shortened luteal phase and secondary amenorrhea associated with high training loads and competitive stress. Amenorrhea is also noted in flight attendants, linked with an inhibiting effect of disrupted circadian rhythm on lutenizing hormone. The so-called 'athlete triad' considers secondary amenorrhea, abnormal eating behaviour and osteoporosis (attributed to chronic hypoestrogenia). The normal cycle may also be disrupted when circadian rhythms are disturbed, for example in rapid time-zone transitions. Fluctuations in the steroid hormones have been associated with changes in muscle strength. There is evidence also of elevations in heart rate: changes may be partly specific to time of day. Effects on muscle strength may be determined at selected stages of the menstrual cycle, using whole-body performance, local muscle groups or isolated individual muscles. Whilst oestrogen has been implicated in the ergogenic effect of steroid hormones, there is accumulating evidence that a role for progesterone cannot be discounted. The isolation of the ovarian hormones separately is feasible with studies of IVF patients or groups on hormone replacement therapy.
Foot strength and stiffness are related to footwear use in a comparison of minimally- vs. conventionally-shod populations (2018)

The longitudinal arch (LA) helps stiffen the foot during walking, but many people in developed countries suffer from flat foot, a condition characterized by reduced LA stiffness that can impair gait. Studies have found this condition is rare in people who are habitually barefoot or wear minimal shoes compared to people who wear conventional modern shoes, but the basis for this difference remains unknown. Here we test the hypothesis that the use of shoes with features that restrict foot motion (e.g. arch supports, toe boxes) is associated with weaker foot muscles and reduced foot stiffness. We collected data from minimally-shod men from northwestern Mexico and men from urban/suburban areas in the United States who wear 'conventional' shoes. We measured dynamic LA stiffness during walking using kinematic and kinetic data, and the cross-sectional areas of three intrinsic foot muscles using ultrasound. Compared to conventionally-shod individuals, minimally-shod individuals had higher and stiffer LAs, and larger abductor hallucis and abductor digiti minimi muscles. Additionally, abductor hallucis size was positively associated with LA stiffness during walking. Our results suggest that use of conventional modern shoes is associated with weaker intrinsic foot muscles that may predispose individuals to reduced foot stiffness and potentially flat foot.
[Focal immunophysiotherapy in combined treatment of men with manifestations of papilloma virus infection]. (2011)

We compared efficacy of combined treatment of males with anogenital warts given intramuscular cycloferon or cycloferon electrophoresis. Patients with manifest HPV infection (n=107) were divided into two groups. Group 1 (n=72) received intramuscular cycloferon (2 ml 12.5% solution each other day for 10 days), group 2 (n=35) received cycloferon electrophoresis on genital region (2 ml 12.5% solution daily in 1-2 days, 5 injections). Measurements were made of local cytokines in urethral secretion, IFN-alpha, IFN-gamma, lactoferrin, sexual hormones (estradiol and testosterone) in blood serum before and after treatment. Focal immunophysiotherapy with cycloferon in combined treatment of males with anogenital warts vs intramuscular cycloferon treatment reduces recurrence rate 2 times, has no negative effect on serum level of sexual hormones, a course dose and duration of immunotherapy decreased 2-fold, is well tolerated, is not painful. Cycloferon electrophoresis has a more potent effect on improvement of local immunity. Thus, local immunophysiotherapy with cycloferon can be a method of choice in the treatment of manifest HPV infection in males.
Master-Slave Control of a Teleoperated Anthropomorphic Robotic Arm with Gripping Force Sensing (2006)

This paper details methods of solving problems that are encountered when human beings teleoperate robots. Special emphasis has been given to the ease of operation and some form of force sensation. Through the use of a rigid control rig, fitted to the user's arm, it is possible to easily control an anthropomorphic robot arm using a master-slave control methodology. The force being exerted by the arm is measured and fed back to the user who is operating the master unit
Distributed optimal control of lighting based on stochastic hill climbing method with variable neighborhood (2007)

In this research, a smart lighting system based on a new autonomous distributed control method was developed to control lighting using illuminance sensors. By using infrared ray communication, one illuminance sensor sends a luminance control directive to several lighting fixtures located nearby. The luminance is made to change randomly within a fixed range to optimize the illuminance using the stochastic hill climbing method. The result of operational experiments using illuminance sensors that were preset to the target illuminance showed that the brightness at specified locations approached the target illuminance that the illuminance sensors were set to. The electrical power consumed by the lighting system was also minimized. Moreover, in comparison with lighting driven autonomous distributed controls of smart lighting systems, better results were obtained, indicating that the method is an effective new distributed control method.
Metal–organic frameworks as high-potential adsorbents for liquid-phase separations of olefins, alkylnaphthalenes and dichlorobenzenes (2009)

Three metal-organic frameworks (MOFs) with similar pore window diameters, [Cu(3)(BTC)(2)], MIL-47 and MIL-53(Al), are tested for adsorption of olefins, alkylnaphthalenes and dichlorobenzenes in the liquid phase. Selective adsorption of olefins is possible only on [Cu(3)(BTC)(2)] viapi-complexation on its open metal sites. This material shows a remarkable preference for cis-olefins over trans-olefins. All three MOFs have high affinities for alkylnaphthalene and dichlorobenzene isomers. Separation of 1,4-dimethylnaphthalene from other alkylnaphthalene isomers and of p- and m-dichlorobenzene can be carried out on both MIL-47 and MIL-53(Al), as shown with breakthrough experiments. For the alkylnaphthalenes, column experiments at different concentrations point to enthalpic interactions as important factors determining selectivity, and the occurrence of steric effects during the adsorption of 1,4-dimethylnaphthalene shows that its kinetic diameter approaches the pore diameter of the adsorbents. For the dichlorobenzenes, packing effects dominate the adsorption selectivity.
COMPARATIVE POTENCY OF BROAD‐BAND AND NARROW‐BAND PHOTOTHERAPY SOURCES TO INDUCE EDEMA, SUNBURN CELLS AND UROCANIC ACID PHOTOISOMERIZATION IN HAIRLESS MOUSE SKIN (1993)

The Philips TL01 narrow-band (311-313 nm) fluorescent lamp provides effective phototherapy for psoriasis and atopic eczema while emitting less erythemogenic radiation than conventional broad-band (e.g. Philips TL12; 270-350 nm) sources. We studied the potency of TL01 and TL12 radiation to induce edema and sunburn cells (SBC) and to photoisomerize naturally occurring trans-urocanic acid (UCA) to cis-UCA in hairless mouse skin. Cis-UCA has immunosuppressive properties and is a putative mediator of UV-induced suppression of immune responses. For each source, there was UV dose dependence for all three responses. Within the dose ranges used, the potency ratio of TL12:TL01 radiation to induce equivalent edema and SBC was about 6:1. However, the potency ratio to induce cis-UCA was less than 2.3:1. Therefore, at a given level of edema or SBC induction, TL01 was more efficient than TL12 at UCA photoisomerization. The TL01 induction of immunomodulating cis-UCA, while causing minimal skin injury, may relate to the therapeutic efficacy of this source in skin conditions with an immunological component.
A Deep-Learning Model with Learnable Group Convolution and Deep Supervision for Brain Tumor Segmentation (2021)

The segmentation of brain tumors in medical images is a crucial step of clinical treatment. Manual segmentation is time consuming and labor intensive, and existing automatic segmentation methods suffer from issues such as numerous parameters and low precision. To resolve these issues, this study proposes a learnable group convolution-based segmentation method that replaces convolution in the feature extraction stage with learnable group convolution, thereby reducing the number of convolutional network parameters and enhancing communication between convolution groups. To improve utilization of the feature maps, we added a skip connection structure between learnable group convolution modules, which increased segmentation precision. We used deep supervision to combine output images in the network output stage to reduce overfitting and enhance the recognition capabilities of the network. We tested the proposed algorithm model using the open BraTS 2018 dataset. The experiment results revealed that the proposed model is superior to 3D U-Net and DMFNet and has better segmentation results for tumor cores than No New-Net and NVDLMED, the winning methods in the BraTS 2018 challenge. The segmentation precision of the proposed method with regard to whole tumors, enhancing tumors, and tumor cores was 90.25%, 80.36%, and 86.20%. Furthermore, the proposed method uses fewer parameters and a less complex model.