LLukas22/scidocs huggingface dataset:
The effects of an 8-week stabilization exercise program on lumbar movement sense in patients with low back pain.

BACKGROUND
Lumbar stabilization exercises have gained popularity and credibility in patients with non-acute low back pain. Previous research provides more support to strength/resistance and coordination/stabilisation programs. Some authors also suggest adding strength/resistance training following motor control exercises. However, the effect of such a lumbar stabilization program on lumbar proprioception has never been tested so far. The present study investigated the effects of an 8-week stabilization exercise program on lumbar proprioception in patients with low back pain (LBP) and assessed the 8-week test-retest reliability of lumbar proprioception in control subjects.


METHODS
Lumbar proprioception was measured before and after an 8-week lumbar stabilization exercise program for patients with LBP. Control subjects participated in the same protocol but received no treatment.


RESULTS
The lumbar proprioception measure showed moderate reliability. Patients with LBP and control subjects demonstrated no differences in lumbar proprioception at baseline. Participants from both groups showed better proprioception following the 8-week interval, demonstrating the presence of learning between testing days.


CONCLUSIONS
The improvement of lumbar proprioception seen in both groups was ascribed to motor learning of the test itself. The effect of lumbar stabilization exercises on lumbar proprioception remains unknown because the LBP group did not show lumbar proprioception impairments.
Network actors' participation in B2B SME branding

Abstract This study explores how network actors participate in branding in the context of SMEs operating in business markets. Branding is conventionally seen as an internally governed process and its exposure to external influences has been generally overlooked. By using narrative interviews this study analyzes the branding actions of network actors which impact on an SME's brand image. This article shows that social and business network relationships influence the SME's brand image, as does the nature of the company's internal branding decisions and identity. The findings propose and define the concept of a branding pool, expanding the focus of branding beyond the boundaries of an individual organization into the context of nets. An SME cannot manage its branding pool, but it can mobilize stakeholders in branding to improve the brand performance in the market.
A 4–32-GHz Chipset for a Highly Integrated Heterodyne Two-Port Vector Network Analyzer

This work presents a chipset for a highly integrated heterodyne vector network analyzer (VNA) with two ports and a multi-octave bandwidth from 4 to 32 GHz. The chipset is comprised of a stimulus integrated circuit (IC) with two selectable single-ended output channels and a four-channel receiver IC. Both chips contain a frequency synthesizer with an average output power of 2.5 dBm and a single-sideband phase noise between -96.3 and -115.3 dBc/Hz at 1-MHz offset. The synthesizer consists of an array of three voltage-controlled oscillators with tuning ranges between 24.8% and 28.2% and a bandwidth extension stage. Wideband design techniques based on cascaded emitter followers are applied to a variable gain amplifier with a peak gain of 15.1 dB and to a wideband source switch with a minimum isolation of 23.6 dB. Single-ended receiver components such as a wideband low-noise amplifier with an average gain of 10 dB and a micromixer are used to compose the four-channel receiver with an average conversion gain of 14.4 dB. A hybrid microwave integrated circuit was fabricated in order to prove the functionality of a VNA utilizing the proposed chipset and wideband directional couplers. The measured scattering parameters of an arbitrary device-under-test showed an average deviation of 0.18 dB in magnitude and 1.8 ° in phase from the measurements obtained with a commercial VNA.
Distance measures between type-2 intuitionistic fuzzy sets and their application to multicriteria decision-making process

Type-2 fuzzy set (T2FS) is a generalization of the ordinary fuzzy set in which the membership value for each member of the set is itself a fuzzy set. However, it is difficult, in some situations, for the decision-makers to give their preferences towards the object in terms of single or exact number. For handling this, a concept of type-2 intuitionistic fuzzy set (T2IFS) has been proposed and hence under this environment, a family of distance measures based on Hamming, Euclidean and Hausdorff metrics are presented. Some of its desirable properties have also been investigated in details. Finally, based on these measures, a group decision making method has been presented for ranking the alternatives. The proposed measures has been illustrated with a numerical example.
Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited time frames and with few resources, searching for sustainable and scalable business models. Software startups are quite distinct from traditional mature software companies, but also from micro-, small-, and medium-sized enterprises, introducing new challenges relevant for software engineering research. This paper’s research agenda focuses on software engineering in startups, identifying, in particular, 70+ research questions in the areas of supporting startup engineering activities, startup evolution models and patterns, ecosystems and innovation hubs, human aspects in software startups, applying startup concepts in non-startup environments, and methodologies and theories for startup research. We connect and motivate this research agenda with past studies in software startup research, while pointing out possible future directions. While all authors of this research agenda have their main background in Software Engineering or Computer Science, their interest in software startups broadens the perspective to the challenges, but also to the opportunities that emerge from multi-disciplinary research. Our audience is therefore primarily software engineering researchers, even though we aim at stimulating collaborations and research that crosses disciplinary boundaries. We believe that with this research agenda we cover a wide spectrum of the software startup industry current needs.
Introduction to game design in the large classroom

We present an experience report on teaching a large enrollment course at the University of California, Santa Cruz providing an introduction to game design. Created to attract non-Computer Science majors seeking to satisfy their campus general education requirements, the course has several interesting qualities. These include a requirement to create a working game (as opposed to just a paper design), use of a specialized form of blogging called gamelogs to reflect on game design, and integration of course assignments with a university library collection of computer games. Experience with using a non-computer-based game design project as a final exam is described. Course contents and student demographic information are also presented.
A fully integrated SiGe E-BAND transceiver chipset for broadband point-to-point communication

Fully integrated chipset at E-band frequencies in a superhetrodyne architecture covering the lower 71-76 GHz and upper 81-86 GHz bands were designed and fabricated in 0.13%m SiGe technology. The receiver chips include an image-reject low-noise amplifier (LNA), RF-to-IF mixer, variable gain IF amplifier, quadrature IF-to-baseband de-modulators, tunable baseband filter, phase-locked loop (PLL), and frequency multiplier by four (quadrupler). The receiver chips achieve 60dB gain, 8.5 dB noise figure, -30 dBm IIP3, and consumes 600 mW. The transmitter chips include a power amplifier, image-reject driver, IF-to-RF up-converting mixer, variable gain IF amplifier, quadrature baseband-to-IF modulator, PLL, and frequency multiplier by four (quadrupler). It achieves output power P1dB of 0 to 11 dBm, Psat of 3.3 to 14 dBm, and consumes 850 mW.
An Internet-based negotiation server for e-commerce

This paper describes the design and implementation of a replicable, Internet-based negotiation server for conducting bargaining-type negotiations between enterprises involved in e-commerce and e-business. Enterprises can be buyers and sellers of products/services or participants of a complex supply chain engaged in purchasing, planning, and scheduling. Multiple copies of our server can be installed to complement the services of Web servers. Each enterprise can install or select a trusted negotiation server to represent his/her interests. Web-based GUI tools are used during the build-time registration process to specify the requirements, constraints, and rules that represent negotiation policies and strategies, preference scoring of different data conditions, and aggregation methods for deriving a global cost-benefit score for the item(s) under negotiation. The registration information is used by the negotiation servers to automatically conduct bargaining type negotiations on behalf of their clients. In this paper, we present the architecture of our implementation as well as a framework for automated negotiations, and describe a number of communication primitives which are used in the underlying negotiation protocol. A constraint satisfaction processor (CSP) is used to evaluate a negotiation proposal or counterproposal against the registered requirements and constraints of a client company. In case of a constraint violation, an event is posted to trigger the execution of negotiation strategic rules, which either automatically relax the violated constraint, ask for human intervention, invoke an application, or perform other remedial operations. An Event-Trigger-Rule (ETR) server is used to manage events, triggers, and rules. Negotiation strategic rules can be added or modified at run-time. A cost-benefit analysis component is used to perform quantitative analysis of alternatives. The use of negotiation servers to conduct automated negotiation has been demonstrated in the context of an integrated supply chain scenario.
Screening and prostate cancer mortality: results of the European Randomised Study of Screening for Prostate Cancer (ERSPC) at 13 years of follow-up

BACKGROUND
The European Randomised study of Screening for Prostate Cancer (ERSPC) has shown significant reductions in prostate cancer mortality after 9 years and 11 years of follow-up, but screening is controversial because of adverse events such as overdiagnosis. We provide updated results of mortality from prostate cancer with follow-up to 2010, with analyses truncated at 9, 11, and 13 years.


METHODS
ERSPC is a multicentre, randomised trial with a predefined centralised database, analysis plan, and core age group (55-69 years), which assesses prostate-specific antigen (PSA) testing in eight European countries. Eligible men aged 50-74 years were identified from population registries and randomly assigned by computer generated random numbers to screening or no intervention (control). Investigators were masked to group allocation. The primary outcome was prostate cancer mortality in the core age group. Analysis was by intention to treat. We did a secondary analysis that corrected for selection bias due to non-participation. Only incidence and no mortality data at 9 years' follow-up are reported for the French centres. This study is registered with Current Controlled Trials, number ISRCTN49127736.


FINDINGS
With data truncated at 13 years of follow-up, 7408 prostate cancer cases were diagnosed in the intervention group and 6107 cases in the control group. The rate ratio of prostate cancer incidence between the intervention and control groups was 1·91 (95% CI 1·83-1·99) after 9 years (1·64 [1·58-1·69] including France), 1·66 (1·60-1·73) after 11 years, and 1·57 (1·51-1·62) after 13 years. The rate ratio of prostate cancer mortality was 0·85 (0·70-1·03) after 9 years, 0·78 (0·66-0·91) after 11 years, and 0·79 (0·69-0·91) at 13 years. The absolute risk reduction of death from prostate cancer at 13 years was 0·11 per 1000 person-years or 1·28 per 1000 men randomised, which is equivalent to one prostate cancer death averted per 781 (95% CI 490-1929) men invited for screening or one per 27 (17-66) additional prostate cancer detected. After adjustment for non-participation, the rate ratio of prostate cancer mortality in men screened was 0·73 (95% CI 0·61-0·88).


INTERPRETATION
In this update the ERSPC confirms a substantial reduction in prostate cancer mortality attributable to testing of PSA, with a substantially increased absolute effect at 13 years compared with findings after 9 and 11 years. Despite our findings, further quantification of harms and their reduction are still considered a prerequisite for the introduction of populated-based screening.


FUNDING
Each centre had its own funding responsibility.
Prevention of Diabetes Self-Management Program (PREDIAS): Effects on Weight, Metabolic Risk Factors, and Behavioral Outcomes

OBJECTIVE
To evaluate the efficacy of the group program PREDIAS for diabetes prevention.


RESEARCH DESIGN AND METHODS
PREDIAS consists of 12 lessons and aims at lifestyle modification. The control group received written information about diabetes prevention. In this study, a total of 182 persons with an elevated diabetes risk participated (aged 56.3 +/- 10.1 years, 43% female, and BMI 31.5 +/- 5.3 kg/m(2)).


RESULTS
After 12 months, weight loss was significantly higher (P = 0.001) in PREDIAS than in the control group (-3.8 +/- 5.2 vs. -1.4 +/- 4.09 kg). There were also significant effects (P = 0.001) on fasting glucose (control group 1.8 +/- 13.1 mg/dl vs. PREDIAS -4.3 +/- 11.3 mg/dl), duration of physical activity per week (control group 17.9 +/- 63.8 min vs. PREDIAS 46.6 +/- 95.5 min; P = 0.03), and eating behavior.


CONCLUSIONS
PREDIAS significantly modified lifestyle factors associated with an elevated diabetes risk.
The use of neural network technology to model swimming performance.

THE AIMS OF THE PRESENT STUDY WERE
to identify the factors which are able to explain the performance in the 200 meters individual medley and 400 meters front crawl events in young swimmers, to model the performance in those events using non-linear mathematic methods through artificial neural networks (multi-layer perceptrons) and to assess the neural network models precision to predict the performance. A sample of 138 young swimmers (65 males and 73 females) of national level was submitted to a test battery comprising four different domains: kinanthropometric evaluation, dry land functional evaluation (strength and flexibility), swimming functional evaluation (hydrodynamics, hydrostatic and bioenergetics characteristics) and swimming technique evaluation. To establish a profile of the young swimmer non-linear combinations between preponderant variables for each gender and swim performance in the 200 meters medley and 400 meters font crawl events were developed. For this purpose a feed forward neural network was used (Multilayer Perceptron) with three neurons in a single hidden layer. The prognosis precision of the model (error lower than 0.8% between true and estimated performances) is supported by recent evidence. Therefore, we consider that the neural network tool can be a good approach in the resolution of complex problems such as performance modeling and the talent identification in swimming and, possibly, in a wide variety of sports. Key pointsThe non-linear analysis resulting from the use of feed forward neural network allowed us the development of four performance models.The mean difference between the true and estimated results performed by each one of the four neural network models constructed was low.The neural network tool can be a good approach in the resolution of the performance modeling as an alternative to the standard statistical models that presume well-defined distributions and independence among all inputs.The use of neural networks for sports sciences application allowed us to create very realistic models for swimming performance prediction based on previous selected criterions that were related with the dependent variable (performance).
DNA waves and water

Some bacterial and viral DNA sequences have been found to induce low frequency electromagnetic waves in high aqueous dilutions. This phenomenon appears to be triggered by the ambient electromagnetic background of very low frequency. We discuss this phenomenon in the framework of quantum field theory. A scheme able to account for the observations is proposed. The reported phenomenon could allow to develop highly sensitive detection systems for chronic bacterial and viral infections.
A new, improved CMOS realization of CDTA and its filter applications

This paper presents a high-performance current differencing transconductance amplifier (CDTA), a recently reported active element, especially suitable for analog signal processing applications. A high linearity CMOS configuration for a CDTA is made up of high linearity input and output stages. The proposed CDTA provides high output impedance at port X and excellent input/output current tracking. A biquad filter circuit was chosen as an application example in order to demonstrate the performance of the CDTA. PSpice simulation results using a TSMC 0.35-μm CMOS process model were included to verify the expected values.
LSH Ensemble: Internet-Scale Domain Search

We study the problem of domain search where a domain is a set of distinct values from an unspecified universe. We use Jaccard set containment score, defined as |Q ∩X|/|Q|, as the measure of relevance of a domain X to a query domain Q. Our choice of Jaccard set containment over Jaccard similarity as a measure of relevance makes our work particularly suitable for searching Open Data and data on the web, as Jaccard similarity is known to have poor performance over sets with large differences in their domain sizes. We demonstrate that the domains found in several real-life Open Data and web data repositories show a power-law distribution over their domain sizes. We present a new index structure, Locality Sensitive Hashing (LSH) Ensemble, that solves the domain search problem using set containment at Internet scale. Our index structure and search algorithm cope with the data volume and skew by means of data sketches using Minwise Hashing and domain partitioning. Our index structure does not assume a prescribed set of data values. We construct a cost model that describes the accuracy of LSH Ensemble with any given partitioning. This allows us to formulate the data partitioning for LSH Ensemble as an optimization problem. We prove that there exists an optimal partitioning for any data distribution. Furthermore, for datasets following a powerlaw distribution, as observed in Open Data and Web data corpora, we show that the optimal partitioning can be approximated using equi-depth, making it particularly efficient to use in practice. We evaluate our algorithm using real data (Canadian Open Data and WDC Web Tables) containing up to three million domains. The experiments demonstrate that our index consistently outperforms other leading alternatives in accuracy and performance. The improvements are most dramatic for data with large skew in the domain sizes. Even at three million domains, our index sustains query performance with under 50 milliseconds response time. This is an extended version. Country Number of Datasets (Structured and Semi-Structured) US 191,695 UK 26,153 Canada 244,885 Singapore 11,992 Table 1: Examples of Governmental Open Data as of First Quarter 2016.
A SENSITIVITY ANALYSIS APPROACH FOR SOME DETERMINISTIC MULTI-CRITERIA DECISION MAKING METHODS

Often data in multi-criteria decision making (MCDM) problems are imprecise and changeable. Therefore, an important step in many applications of MCDM is to perform a sensitivity analysis on the input data. This paper presents a methodology for performing a sensitivity analysis on the weights of the decision criteria and the performance values of the alternatives expressed in terms of the decision criteria. The proposed methodology is demonstrated on three widely used decision methods. These are the weighted sum model (WSM), the weighted product model (WPM), and the analytic hierarchy process (AHP). This paper formalizes a number of important issues on sensitivity analysis and derives some critical theoretical results. Also, a number of illustrative examples and computational experiments further illustrate the application of the proposed methodology. Subject Areas: Analytic Hierarchy Process, Deterministic Decision Making, Multi-Criteria Decision Making, Sensitivity Analysis, Weighted Product Model, and Weighted Sum Model. ACKNOWLEDGEMENTS The authors are very grateful to the two anonymous referees and the anonymous associate editor. Their thoughtful and constructive comments significantly enhanced the context and presentation of this paper. Published in: Decision Sciences, Vol. 28, No. 1, pp. 151-194, Winter 1997.
Sevoflurane in combination with propofol, not thiopental, induces a more robust neuroapoptosis than sevoflurane alone in the neonatal mouse brain

Sevoflurane is the most widely used volatile anesthetic of general anesthesia. In children and neonates, it is commonly used alone or in combination with thiopental or propofol. A few recent studies reported that sevoflurane induced neuronal death in the developing rodent brain. We measured the neurotoxicity of these anesthetics at clinical doses, alone and in combination, in the developing mouse brain. Seven-day-old C57BL/6 mice were randomly assigned to 6 treatment groups. Three groups were exposed to 3 % sevoflurane for 6 h after injection of saline, thiopental (5 mg/kg), or propofol (10 mg/kg), whereas three groups were exposed to room air for 6 h after injection of equal doses of saline, thiopental, or propofol. Apoptosis in the hippocampal CA1 region (CA1) and retrosplenial cortex (RC) was assessed using caspase-3 immunostaining. Sevoflurane alone caused significantly higher apoptosis in the CA1 compared with saline plus air (P = 0.04). Sevoflurane in combination with propofol resulted in significantly greater numbers of apoptotic neurons than sevoflurane alone in both the CA1 and the RC (P = 0.04). However, there was no significant difference in apoptotic neuron density in both the regions between the groups treated with sevoflurane alone and in combination with thiopental (P = 0.683). Sevoflurane alone can induce neuronal apoptosis, and this effect is enhanced by propofol. Thiopental did not exacerbate the neurotoxicity of sevoflurane. There is the possibility that the combination of sevoflurane and propofol is a more harmful anesthetic technique than sevoflurane alone in pediatric patients.