nils-herrmann/clean_scirepeval huggingface dataset:
Specification and Verification of Concurrent Programs by forall-Automata

∀-automata are non-deterministic finite-state automata over infinite sequences. They differ from conventional automata in that a sequence is accepted if all runs of the automaton over the sequence are accepting. These automata are suggested as a formalism for the specification and verification of temporal properties of concurrent programs. It is shown that they are as expressive as extended-temporal-logic (ETL), and in some cases provide a more compact representation of properties than temporal logic. A structured diagram notation is suggested for the graphical representation of these automata. A single sound and complete proof rule is presented for proving that all computations of a program have the property specified by a ∀-automaton.
Effectiveness of Hip External Rotator Strengthening Exercise in Korean Postural Bowleg Women

Postural bowleg is a subclinical entity with both aesthetic and functional outcomes and appears to be common in East Asian countries. Internal rotation of the hip joint is associated with varus alignment at the knee joint of the bowleg. Strengthening exercise for the hip external rotator muscles seems to be effective in improving varus alignment of bowleg, but no standardized exercise program exists. A standardized active resistance strengthening exercise for hip external rotator muscles could improve varus alignment of the lower limb in bowlegged Korean women. In this article, a case series study was conducted to observe changes following a standardized 3-month program using equipment designed for strengthening of the hip external rotator muscles. Photogrammetric and radiographic data were used to compare the gap between knees and tibiofemoral (TF) angles before and after the exercise program. As a result, on average, the knee gap decreased by 1.6 cm. The TF angle decreased by 1.5°. Regression analysis revealed a statistically significant association between changes in knee gap and TF angle. The standardized 3-month active resistance strengthening exercise program of hip external rotator muscles was effective in improving postural deviation and cosmetic outcomes in bowlegged Korean women. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
A hybrid stock trading system using genetic network programming and mean conditional value-at-risk

This paper describes a hybrid stock trading system based on Genetic Network Programming (GNP) and Mean Conditional Value-at-Risk Model (GNP–CVaR). The proposed method, combining the advantages of evolutionary algorithms and statistical model, has provided useful tools to construct portfolios and generate effective stock trading strategies for investors with different risk-attitudes. Simulation results on five stock indices show that model based on GNP and maximum Sharpe Ratio portfolio performs the best in bull market, and that based on GNP and the global minimum risk portfolio performs the best in bear market. The portfolios constructed by Markowitz’s mean–variance model performs the same as mean-CVaR model. It is clarified that the proposed system significantly improves the function and efficiency of original GNP, which can help investors make profitable decisions.
A Systematic Review and Meta-Analysis of Mindfulness-Based (Baduanjin) Exercise for Alleviating Musculoskeletal Pain and Improving Sleep Quality in People with Chronic Diseases

we performed the first systematic review with meta-analyses of the existing studies that examined mindfulness-based Baduanjin exercise for its therapeutic effects for individuals with musculoskeletal pain or insomnia.



Both English- (PubMed, Web of Science, Elsevier, and Google Scholar) and Chinese-language (CNKI and Wangfang) electronic databases were used to search relevant articles. We used a modified PEDro scale to evaluate risk of bias across studies selected. All eligible RCTS were considered for meta-analysis. The standardized mean difference was calculated for the pooled effects to determine the magnitude of the Baduanjin intervention effect. For the moderator analysis, we performed subgroup meta-analysis for categorical variables and meta-regression for continuous variables.



The aggregated result has shown a significant benefit in favour of Baduanjin at alleviating musculoskeletal pain (SMD = -0.88, 95% CI -1.02 to -0.74, p < 0.001, I² = 10.29%) and improving overall sleep quality (SMD = -0.48, 95% CI -0.95 to -0.01, p = 004, I² = 84.42%).



Mindfulness-based Baduanjin exercise may be effective for alleviating musculoskeletal pain and improving overall sleep quality in people with chronic illness. Large, well-designed RCTs are needed to confirm these findings.
Phytochemistry of Cannabis sativa L.

Cannabis (Cannabis sativa, or hemp) and its constituents-in particular the cannabinoids-have been the focus of extensive chemical and biological research for almost half a century since the discovery of the chemical structure of its major active constituent, Δ9-tetrahydrocannabinol (Δ9-THC). The plant's behavioral and psychotropic effects are attributed to its content of this class of compounds, the cannabinoids, primarily Δ9-THC, which is produced mainly in the leaves and flower buds of the plant. Besides Δ9-THC, there are also non-psychoactive cannabinoids with several medicinal functions, such as cannabidiol (CBD), cannabichromene (CBC), and cannabigerol (CBG), along with other non-cannabinoid constituents belonging to diverse classes of natural products. Today, more than 560 constituents have been identified in cannabis. The recent discoveries of the medicinal properties of cannabis and the cannabinoids in addition to their potential applications in the treatment of a number of serious illnesses, such as glaucoma, depression, neuralgia, multiple sclerosis, Alzheimer's, and alleviation of symptoms of HIV/AIDS and cancer, have given momentum to the quest for further understanding the chemistry, biology, and medicinal properties of this plant.This contribution presents an overview of the botany, cultivation aspects, and the phytochemistry of cannabis and its chemical constituents. Particular emphasis is placed on the newly-identified/isolated compounds. In addition, techniques for isolation of cannabis constituents and analytical methods used for qualitative and quantitative analysis of cannabis and its products are also reviewed.
The impact of head movements on EEG and contact impedance: An adaptive filtering solution for motion artifact reduction

Designing and developing a comfortable and convenient EEG system for daily usage that can provide reliable and robust EEG signal, encompasses a number of challenges. Among them, the most ambitious is the reduction of artifacts due to body movements. This paper studies the effect of head movement artifacts on the EEG signal and on the dry electrode-tissue impedance (ETI), monitored continuously using the imec's wireless EEG headset. We have shown that motion artifacts have huge impact on the EEG spectral content in the frequency range lower than 20Hz. Coherence and spectral analysis revealed that ETI is not capable of describing disturbances at very low frequencies (below 2Hz). Therefore, we devised a motion artifact reduction (MAR) method that uses a combination of a band-pass filtering and multi-channel adaptive filtering (AF), suitable for real-time MAR. This method was capable of substantially reducing artifacts produced by head movements.
Buyers satisfaction in a virtual fitting room scenario based on realism of avatar

With the rapid development and wide-spread availability of hand-held market-level 3D scanner, character modeling has recently gained focus in both academia and industry. Virtual shopping applications have been widely-used in e-business. We present our parameter-based human avatar generation system and ongoing work on expanding the virtual shopping to the immersive virtual reality platforms employing natural user interfaces. We discuss ideas to evaluate buyer satisfaction using our system.
Privacy-Enhancing of User's Behaviour Toward Privacy Settings in Social Networking Sites

Social Networking Sites (SNSs) are applications that allow users to create personal profiles to interact with friends or public and to share data such as photos and short videos. The amount of these personal disclosures has raised issues and concerns regarding SNSs' privacy. Users' attitudes toward privacy and their sharing behaviours are inconsistent because they are concerned about privacy, but continue sharing personal information. Also, the existing privacy settings are not flexible enough to prevent privacy risks. In this paper, we propose a novel model called Privacy Settings Model (PSM) that can lead users to understand, control, and update SNSs' privacy settings. We believe that this model will enhance their privacy behaviours toward SNSs' privacy settings and reduce privacy risks.
Real-Time Printed Document Authentication Using Watermarked QR Code

Printed documents are vulnerable to forgery through the latest technology development and it becomes extremely important. Most of the forgeries can be resulting loss of personal identity or ownership of a certain valuable object. This paper proposes novel authentication technique and schema for printed document authentication using watermarked QR (Quick Response) code. The technique is based Watermarked QR code generated with embedding logo belongs to the owner of the document which contain validation link, and the schema is checking the validation link of the printed document which linked to the web server and database server through internet connection by scanning it over camera phone and QR code reader, the result from this technique and schema is the validation can be done in real-time using smart phone such as smart phone based Android, Black Berry, and iOS. To get a good performance in extracting and validating printed document, it can be done by preparing in advance the validation link via internet connection to get the authentication of information hidden. Finally, this paper provide experimental results to demonstrate the authenticated of printed documents using watermarked QR code.
PD-L1 biomarker testing for non-small cell lung cancer: truth or fiction?

Research in cancer immunology is currently accelerating following a series of cancer immunotherapy breakthroughs during the last 5 years. Various monoclonal antibodies which block the interaction between checkpoint molecules PD-1 on immune cells and PD-L1 on cancer cells have been used to successfully treat non-small cell lung cancer (NSCLC), including some durable responses lasting years. Two drugs, nivolumab and pembrolizumab, are now FDA approved for use in certain patients who have failed or progressed on platinum-based or targeted therapies while agents targeting PD-L1, atezolizumab and durvalumab, are approaching the final stages of clinical testing. Despite impressive treatment outcomes in a subset of patients who receive these immune therapies, many patients with NSCLC fail to respond to anti-PD-1/PD-L1 and the identification of a biomarker to select these patients remains highly sought after. In this review, we discuss the recent clinical trial results of pembrolizumab, nivolumab, and atezolizumab for NSCLC, and the significance of companion diagnostic testing for tumor PD-L1 expression.
Biomaterials approaches to treating implant-associated osteomyelitis.

Orthopaedic devices are the most common surgical devices associated with implant-related infections and Staphylococcus aureus (S. aureus) is the most common causative pathogen in chronic bone infections (osteomyelitis). Treatment of these chronic bone infections often involves combinations of antibiotics given systemically and locally to the affected site via a biomaterial spacer. The gold standard biomaterial for local antibiotic delivery against osteomyelitis, poly(methyl methacrylate) (PMMA) bone cement, bears many limitations. Such shortcomings include limited antibiotic release, incompatibility with many antimicrobial agents, and the need for follow-up surgeries to remove the non-biodegradable cement before surgical reconstruction of the lost bone. Therefore, extensive research pursuits are targeting alternative, biodegradable materials to replace PMMA in osteomyelitis applications. Herein, we provide an overview of the primary clinical treatment strategies and emerging biodegradable materials that may be employed for management of implant-related osteomyelitis. We performed a systematic review of experimental biomaterials systems that have been evaluated for treating established S. aureus osteomyelitis in an animal model. Many experimental biomaterials were not decisively more efficacious for infection management than PMMA when delivering the same antibiotic. However, alternative biomaterials have reduced the number of follow-up surgeries, enhanced the antimicrobial efficacy by delivering agents that are incompatible with PMMA, and regenerated bone in an infected defect. Understanding the advantages, limitations, and potential for clinical translation of each biomaterial, along with the conditions under which it was evaluated (e.g. animal model), is critical for surgeons and researchers to navigate the plethora of options for local antibiotic delivery.
A Compact EBG Structure With Wideband Power/Ground Noise Suppression Using Meander-Perforated Plane

In this letter, we propose a miniaturized and wideband electromagnetic bandgap (EBG) structure with a meander-perforated plane (MPP) for power/ground noise suppression in multilayer printed circuit boards. The proposed MPP enhances the characteristic impedance of the EBG unit cell and improves the slow-wave effect, thus achieving the significant size reduction and the stopband enhancement. To explain the prominent results, a dispersion analysis for the proposed MPP-EBG structure is developed. Compared to a mushroom-type EBG structure, it is experimentally demonstrated that the MPP-EBG structure presents a 57% reduction in the start frequency of the bandgap, which leads to a 74% reduction in a unit cell size. In addition, the MPP-EBG structure considerably improves the noise suppression bandwidth (-40 dB) from 0.8 to 4.9 GHz compared to the mushroom-type EBG structure.
Design and simulation of a waveguide slot antenna

Due to low efficiency in waveguide slot antenna design, this paper proposes a method which combines numerical calculation with numerical simulation. We apply slot self-admittance extracted from the software to the active admittance formula. Then the normalized slot active admittance is obtained. This method completely considers the mutual coupling between slots. The normalized slot active admittance is accurate and can be directly used in antenna design. The simulated results of waveguide slot antenna prove that this method has high efficiency and can be used in waveguide slot antenna design.
Conducting an article critique for a quantitative research study: perspectives for doctoral students and other novice readers

Correspondence: David E Vance NB 456, 1701 University Boulevard, University of Alabama at Birmingham, Birmingham, AL 35294-1210, USA Tel +1 205 934 7589 Fax +1 205 996 7183  The ability to critically evaluate the merits of a quantitative design research article is a necessary skill for practitioners and researchers of all disciplines, including nursing, in order to judge the integrity and usefulness of the evidence and conclusions made in an article. In general, this skill is automatic for many practitioners and researchers who already possess a good working knowledge of research methodology, including: hypothesis development, sampling techniques, study design, testing procedures and instrumentation, data collection and data management, statistics, and interpretation of findings. For graduate students and junior faculty who have yet to master these skills, completing a formally written article critique can be a useful process to hone such skills. However, a fundamental knowledge of research methods is still needed in order to be successful. Because there are few published examples of critique examples, this article provides the practical points of conducting a formally written quantitative research article critique while providing a brief example to demonstrate the principles and form.
Soil compaction impact and modelling. A review

Compaction of agricultural soils is a concern for many agricultural soil scientists and farmers since soil compaction, due to heavy field traffic, has resulted in yield reduction of most agronomic crops throughout the world. Soil compaction is a physical form of soil degradation that alters soil structure, limits water and air infiltration, and reduces root penetration in the soil. Consequences of soil compaction are still underestimated. A complete understanding of processes involved in soil compaction is necessary to meet the future global challenge of food security. We review here the advances in understanding, quantification, and prediction of the effects of soil compaction. We found the following major points: (1) When a soil is exposed to a vehicular traffic load, soil water contents, soil texture and structure, and soil organic matter are the three main factors which determine the degree of compactness in that soil. (2) Soil compaction has direct effects on soil physical properties such as bulk density, strength, and porosity; therefore, these parameters can be used to quantify the soil compactness. (3) Modified soil physical properties due to soil compaction can alter elements mobility and change nitrogen and carbon cycles in favour of more emissions of greenhouse gases under wet conditions. (4) Severe soil compaction induces root deformation, stunted shoot growth, late germination, low germination rate, and high mortality rate. (5) Soil compaction decreases soil biodiversity by decreasing microbial biomass, enzymatic activity, soil fauna, and ground flora. (6) Boussinesq equations and finite element method models, that predict the effects of the soil compaction, are restricted to elastic domain and do not consider existence of preferential paths of stress propagation and localization of deformation in compacted soils. (7) Recent advances in physics of granular media and soil mechanics relevant to soil compaction should be used to progress in modelling soil compaction.
Critical analysis of Big Data challenges and analytical methods

Data (BD), with their potential to ascertain valued insights for enhanced decision-making process, have recently attracted substantial interest from both academics and practitioners. Big Data Analytics (BDA) is increasingly becoming a trending practice that many organizations are adopting with the purpose of constructing valuable information from BD. The analytics process, including the deployment and use of BDA tools, is seen by organizations as a tool to improve operational efficiency though it has strategic potential, drive new revenue streams and gain competitive advantages over business rivals. However, there are different types of analytic applications to consider. Therefore, prior to hasty use and buying costly BD tools, there is a need for organizations to first understand the BDA landscape. Given the significant nature of theBDandBDA, this paper presents a state-ofthe-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/ employed by organizations to help others understand this landscape with the objective of making robust investment decisions. In doing so, systematically analysing and synthesizing the extant research published on BD and BDA area. More specifically, the authors seek to answer the following two principal questions: Q1 –What are the different types of BD challenges theorized/proposed/confronted by organizations? and Q2 – What are the different types of BDA methods theorized/proposed/employed to overcome BD challenges?. This systematic literature review (SLR) is carried out through observing and understanding the past trends and extant patterns/themes in the BDA research area, evaluating contributions, summarizing knowledge, thereby identifying limitations, implications and potential further research avenues to support the academic community in exploring research themes/patterns. Thus, to trace the implementation of BD strategies, a profiling method is employed to analyze articles (published in English-speaking peer-reviewed journals between 1996 and 2015) extracted from the Scopus database. The analysis presented in this paper has identified relevant BD research studies that have contributed both conceptually and empirically to the expansion and accrual of intellectual wealth to the BDA in technology and organizational resource management discipline.
Is Cetacean Intelligence Special? New Perspectives on the Debate

In recent years, the interpretation of our observations of animal behaviour, in particular that of cetaceans, has captured a substantial amount of attention in the scientific community. The traditional view that supports a special intellectual status for this mammalian order has fallen under significant scrutiny, in large part due to problems of how to define and test the cognitive performance of animals. This paper presents evidence supporting complex cognition in cetaceans obtained using the recently developed intelligence and embodiment hypothesis. This hypothesis is based on evolutionary neuroscience and postulates the existence of a common information-processing principle associated with nervous systems that evolved naturally and serves as the foundation from which intelligence can emerge. This theoretical framework explaining animal intelligence in neural computational terms is supported using a new mathematical model. Two pathways leading to higher levels of intelligence in animals are identified, each reflecting a trade-off either in energetic requirements or the number of neurons used. A description of the evolutionary pathway that led to increased cognitive capacities in cetacean brains is detailed and evidence supporting complex cognition in cetaceans is presented. This paper also provides an interpretation of the adaptive function of cetacean neuronal traits.
On the Analysis of Twitter Spam Accounts in Saudi Arabia

Twitter spam accounts try to spread malicious content, deceive or advertise certain thoughts over Twitter network. Different approaches have been presented both in industry and academia to identify spammers on Twitter. This study aims at understanding the behavior of Twitter spam accounts targeting Saudi Arabia. In this study the author performs an empirical analysis of Twitter spam accounts in Saudi Arabia by applying previous techniques found in various research studies for extracting and analyzing such accounts. The activity levels of spam accounts as well as their content were gathered over a two months period. The study not only analyzes the content of spam accounts but also recognizes their behavior. Results show that Twitter spam accounts targeting Saudi Arabia are naïve and still in their infancy. Third party tools are used to control them for spreading duplicate content and perform retweets. Also trendy hashtags are polluted with specific content in a way to frame the public opinion. On the Analysis of Twitter Spam Accounts in Saudi Arabia