nils-herrmann/clean_scirepeval huggingface dataset:
Dimethyl fumarate blocks pro inflammatory cytokine production via inhibition of TLR induced M1 and K63 ubiquitin chain formation
Venue: Scientific reports

Dimethyl fumarate (DMF) possesses anti inflammatory properties and is approved for the treatment of psoriasis and multiple sclerosis. While clinically effective, its molecular target has remained elusive although it is known to activate anti oxidant pathways. We find that DMF inhibits pro inflammatory cytokine production in response to TLR agonists independently of the Nrf2 Keap1 anti oxidant pathway. Instead we show that DMF can inhibit the E2 conjugating enzymes involved in K63 and M1 polyubiquitin chain formation both in vitro and in cells. The formation of K63 and M1 chains is required to link TLR activation to downstream signaling, and consistent with the block in K63 and/or M1 chain formation, DMF inhibits NFkB and ERK1/2 activation, resulting in a loss of pro inflammatory cytokine production. Together these results reveal a new molecular target for DMF and show that a clinically approved drug inhibits M1 and K63 chain formation in TLR induced signaling complexes. Selective targeting of E2s may therefore be a viable strategy for autoimmunity.
A Systematic Analysis of Negative Growth Control Implicates the DREAM Complex in Cancer Cell Dormancy
Venue: Molecular Cancer Research

Epithelial ovarian cancer (EOC) generates multicellular aggregates called spheroids that detach from the primary tumor and disseminate through ascites. Spheroids possess a number of characteristics of tumor dormancy including withdrawal from the cell cycle and resistance to chemotherapeutics. This report systematically analyzes the effects of RNAi depletion of 21 genes that are known to contribute to negative regulation of the cell cycle in 10 ovarian cancer cell lines. Interestingly, spheroid cell viability was compromised by loss of some cyclin dependent kinase inhibitors such as p57Kip2, as well as Dyrk1A, Lin52, and E2F5 in most cell lines tested. Many genes essential for EOC spheroid viability are pertinent to the mammalian DREAM repressor complex. Mechanistically, the data demonstrate that DREAM is assembled upon the induction of spheroid formation, which is dependent upon Dyrk1A. Loss of Dyrk1A results in retention of the b Myb MuvB complex, elevated expression of DREAM target genes, and increased DNA synthesis that is coincident with cell death. Inhibition of Dyrk1A activity using pharmacologic agents Harmine and INDY compromises viability of spheroids and blocks DREAM assembly. In addition, INDY treatment improves the response to carboplatin, suggesting this is a therapeutic target for EOC treatment.  Loss of negative growth control mechanisms in cancer dormancy lead to cell death and not proliferation, suggesting they are an attractive therapeutic approach.
Semantic Aware Trajectory Compression with Urban Road Network
Venue: WAIM

Vehicles are generating more and more trajectories, which are expensive to store and mange. Thus it calls for vehicular trajectory compression techniques. We propose a semantic aware compression framework that includes two steps: Map Matching(MM) and Semantic Trajectory Compression(STC) On the one hand, due to measurement errors, trajectories cannot be precisely mapped to real roads. In the MM step, we utilize multidimensional information(including distance and direction) to find the most matching roads and generate aligned trajectories. On the other hand, some unnecessary points in trajectories can be reduced based on the roads. In the STC step, we extract a set of crucial points from the aligned trajectory, which capture the major driving semantics of the trajectory. Meanwhile, our decompression method is fairly lightweight and can efficiently support various applications. Empirical study shows that MM achieves high matching quality, STC achieves more than 8 times compression ratio, and decompression is efficient on real datasets.
Generalized Least Squares Model Averaging

In this article, we propose a method of averaging generalized least squares estimators for linear regression models with heteroskedastic errors. The averaging weights are chosen to minimize Mallows' Cp like criterion. We show that the weight vector selected by our method is optimal. It is also shown that this optimality holds even when the variances of the error terms are estimated and the feasible generalized least squares estimators are averaged. The variances can be estimated parametrically or nonparametrically. Monte Carlo simulation results are encouraging. An empirical example illustrates that the proposed method is useful for predicting a measure of firms' performance.
The effectiveness of multi component goal setting interventions for changing physical activity behaviour: a systematic review and meta analysis
Venue: Health psychology review

Drawing from goal setting theory (Latham Locke, 1991; Locke Latham, 2002; Locke et al. 1981) the purpose of this study was to conduct a systematic review and meta analysis of multi component goal setting interventions for changing physical activity (PA) behaviour. A literature search returned 41,038 potential articles. Included studies consisted of controlled experimental trials wherein participants in the intervention conditions set PA goals and their PA behaviour was compared to participants in a control group who did not set goals. A meta analysis was ultimately carried out across 45 articles (comprising 52 interventions, 126 effect sizes, n 5912) that met eligibility criteria using a random effects model. Overall, a medium, positive effect (Cohen's d(SE) .552(.06) 95% CI .43 .67, Z 9.03, p .001) of goal setting interventions in relation to PA behaviour was found. Moderator analyses across 20 variables revealed several noteworthy results with regard to features of the study, sample characteristics, PA goal content, and additional goal related behaviour change techniques. In conclusion, multi component goal setting interventions represent an effective method of fostering PA across a diverse range of populations and settings. Implications for effective goal setting interventions are discussed.
Emotional Induction Through Films: A Model for the Regulation of Emotions

This paper introduces a software program to recognise discrete emotions on an ageing adult from his/her physiological and psychological responses. This research considers the capacity from an audiovisual method to evoke different emotions and uses it to interpret and modulate basic emotion states. Different body sensors, in the case of physiological response, and a set of questionnaires, in the case of psychological responses, are selected to measure the power in causing fear, anger, disgust, sadness, amusement, affection and the neutral state, through a set of films used as an emotional induction method. The initial results suggest that it is possible to extract discrete values about positive and negative emotional states with films and to use these responses as keys to get emotion regulation.
Positive and Transformative Technologies for Active Ageing
Venue: MMVR

Due to advances in treatment and people's living longer, chronic diseases are becoming more common among our population. This is a leading contributor to the increasing burden on our current healthcare system. To reduce this burden and sufficiently meet the needs of this growing segment of the population, healthcare organizations must encourage the elderly to take a more active role in caring for their own health and well being. Technology may offer a solution to this shortcoming. "Positive Technology" focuses on the use of technology for improving the quality of our personal experience, and it suggests specific strategies for modifying/improving each of the different dimensions involved Emotional Quality (affect regulation) Engagement/Actualization (presence and flow) Connectdness (collective intentions and networked flow) and for generating motivation and engagement in the process. "Transformative Technology" are technologically mediated experiences that support positive, enduring transformation of the self world. The transformative content is delivered through a set of experiential affordances, which are stimuli designed to elicit emotional and cognitive involvement in the designed experience: (i) emotional affordances; (ii) epistemic affordances. The paper discusses discuss the possible role of positive and transormative technologies for healthy living and active ageing by presenting different practical applications of this approach recently developed by our team.
Fixing America's College Attainment Problems: It's About More Than Affordability Critical Considerations for any New Federal State Partnership

While the vast majority of high school graduates enter college, many don't earn the degrees that they need in today's marketplace at least in part because many colleges are more focused on getting students in the door than on making sure they succeed. Problems are biggest for America's "New Majority" students of color and those from low income families who enter and graduate from college at rates well below other students.
Robust structural identification via polyhedral template matching

Successful scientific applications of large scale molecular dynamics often rely on automated methods for identifying the local crystalline structure of condensed phases. Many existing methods for structural identification, such as common neighbour analysis, rely on interatomic distances (or thresholds thereof) to classify atomic structure. As a consequence they are sensitive to strain and thermal displacements, and preprocessing such as quenching or temporal averaging of the atomic positions is necessary to provide reliable identifications. We propose a new method, polyhedral template matching (PTM) which classifies structures according to the topology of the local atomic environment, without any ambiguity in the classification, and with greater reliability than e.g. common neighbour analysis in the presence of thermal fluctuations. We demonstrate that the method can reliably be used to identify structures even in simulations near the melting point, and that it can identify the most common ordered alloy structures as well. In addition, the method makes it easy to identify the local lattice orientation in polycrystalline samples, and to calculate the local strain tensor. An implementation is made available under a Free and Open Source Software license.
User Independent Recognition of Sports Activities From a Single Wrist Worn Accelerometer: A Template Matching Based Approach
Venue: IEEE Transactions on Biomedical Engineering

To investigate the accuracy of template matching for classifying sports activities using the acceleration signal recorded with a wearable sensor.  A population of 29 normal weight and 19 overweight subjects was recruited to perform eight common sports activities, while body movement was measured using a triaxial accelerometer placed at the wrist. User and axis independent acceleration signal templates were automatically extracted to represent each activity category and recognize activity types. Five different similarity measures between example signals and templates were compared: Euclidean distance, dynamic time warping (DTW) derivative DTW, correlation and an innovative index, and combining distance and correlation metrics (Rce) Template based activity recognition was compared to statistical learning classifiers, such as Naive Bayes, decision tree, logistic regression (LR) and artificial neural network (ANN) trained using time and frequency domain signal features. Each algorithm was tested on data from a holdout group of 15 normal weight and 19 overweight subjects.  The Rce index outperformed other template matching metrics by achieving recognition rate above 80% for the majority of the activities. Template matching showed robust classification accuracy when tested on unseen data and in case of limited training examples. LR and ANN achieved the highest overall recognition accuracy ~85% but showed to be more vulnerable to misclassification error than template matching on overweight subjects' data.  Template matching can be used to classify sports activities using the wrist acceleration signal.  Automatically extracted template prototypes from the acceleration signal may be used to enhance accuracy and generalization properties of statistical learning classifiers.
Research on Efficiency of Contactless Charging System based on Electromagnetic Induction

For the efficiency problem of contactless charging in type of electromagnetic induction, this paper establishes a mathematical model of contactless charging in type of electromagnetic induction and the theoretical derivation. This contactless charging simulation model is founded by Matlab/Simulink, which uses the frequency of PWM generator, the mutual inductance value of the coil and load resistance of RL to simulate some conditions, such as the working frequency in practical work, the distance of coil, whether the coils are directed at the central, and changing of loads. Then through the influence of the changing frequency, load and mutual inductance, contactless charging in type of electromagnetic induction is analyzed. By the whole simulation experiment on contactless charging, the theory deduced from the mathematical model is verified, and the method to improve inductive contactless charging is proved.
Observed forest sensitivity to climate implies large changes in 21st century North American forest growth.
Venue: Ecology letters

Predicting long term trends in forest growth requires accurate characterisation of how the relationship between forest productivity and climatic stress varies across climatic regimes. Using a network of over two million tree ring observations spanning North America and a space for time substitution methodology, we forecast climate impacts on future forest growth. We explored differing scenarios of increased water use efficiency (WUE) due to CO2 fertilisation, which we simulated as increased effective precipitation. In our forecasts: (1) climate change negatively impacted forest growth rates in the interior west and positively impacted forest growth along the western, southeastern and northeastern coasts; (2) shifting climate sensitivities offset positive effects of warming on high latitude forests, leaving no evidence for continued 'boreal greening' and (3) it took a 72% WUE enhancement to compensate for continentally averaged growth declines under RCP 8.5. Our results highlight the importance of locally adapted forest management strategies to handle regional differences in growth responses to climate change.
Reachable workspace and performance of upper limb (PUL) in duchenne muscular dystrophy
Venue: Muscle nerve

The Kinect based reachable workspace relative surface area (RSA) is compared with the performance of upper limb (PUL) assessment in Duchenne muscular dystrophy (DMD) Methods: 29 individuals with DMD (ages: 7 23; Brooke: 1 5) underwent both Kinect based reachable workspace RSA and PUL assessments. RSAs were also collected from 24 age matched controls. Total and quadrant RSAs were compared with the PUL total, shoulder middle and distal dimension scores.  The total reachable workspace RSA correlated well with the total PUL score (Spearman r 0.602; P 0.001) and with each of the PUL dimensional scores: shoulder (r 0.624; P 0.001) middle (r 0.564; P 0.001) and distal (r 0.630; P 0.001) With quadrant RSA, reachability in a particular quadrant was closely associated with respective PUL dimensional level function (lateral upper quadrant for shoulder lateral upper/lower quadrants for middle and lateral lower quadrant for distal level function)  This study demonstrates concurrent validity of the reachable workspace outcome measure (RSA) with the DMD specific upper extremity outcome measure (PUL) Muscle Nerve 53: 545 554, 2016
Isokinetic muscular strengthening of upper limb versus passive movement in chronic stroke patients. Randomised controlled trial

The sensori motor impairment of upper limb (UL) affects more than 50% of patients after stroke. The objective of this work was to study the efficiency of isokinetic muscle strengthening (IMS) in the chronic phase of stroke in this population.  The patients underwent 6 weeks of outpatient rehabilitation, 3 days per week, combining physiotherapy (twice/day) and occupational therapy every day. The program was completed by 30 minutes elbow and wrist concentric slow speed IMS of flexor and extensor muscles, in the study group versus 30 minutes passive mobilisation of the joints carried out by the same isokinetic dynamometer in the control group.  Age 18 years, post stroke period 6 months, muscle strength 2/5 manual testing, spasticity Principal judgement criteria The UL Fugl Meyer (FM) score gain at the end of the program (6 weeks) Secondary criteria FM at 3 and 6 months, Box and Block test, Barthel Index and measures of muscle strength at 6 weeks, 3 and 6 months.  Twenty patients were included: 16 men, 13 left hemiplegia, 16 ischemic strokes, average age 63. The gain in the FM score at 6 weeks was comparable between the two groups: 3.5 point 4.4) versus +6 4.5) in the control group (P 0.224) We have not observed shoulder pain or increase spasticity. No significant differences between the two groups has been demonstrated on secondary endpoints. All patients improved their FM score (4.7; P Discussion  Combined with an intensive multidisciplinary rehabilitation program, IMS of UL is not more efficient than passive mobilisation of the wrist and elbow late after stroke. Our study also suggests the value of an intensive, out patient rehabilitation treatment program in chronic phase after stroke, in cases of mild to moderate motor deficit of UL, remains beneficial over 6 months post program.
Disclosure Policy in Tullock Contests with Asymmetric Stochastic Entry

We examine how disclosure policy can be optimally designed to incentivize contestants when their participation is exogenously stochastic. In a generalized Tullock contest setting with two players who are asymmetric in both their values and entry probabilities, we fully characterize the necessary and sufficient conditions under which no disclosure dominates full disclosure. We find that the comparison depends solely on a balance effect exercised by entry probabilities on the expected total effort. The optimal disclosure policy must better balance the competition. These conditions continue to hold when the precision r of Tullock contests is endogenously chosen by the designer.
Professional learning communities at work and virtual collaboration on the tipping point of transformation

1 Professional Learning Communities at WorkTM and Virtual Collaboration: On the Tipping Point of Transformation By Richard DuFour and Casey Reason _____________________ Study Guide This study guide is a companion to the book Professional Learning Communities at WorkTM and Virtual Collaboration: On the Tipping Point of Transformation by Richard DuFour and Casey Reason. Professional Learning Communities at WorkTM and Virtual Collaboration states that the time for education transformation is now, and it provides ways for virtual collaborative teams to fortify PLC implementation.
Rapid discovery and identification of anti inflammatory constituents from traditional Chinese medicine formula by activity index, LC MS, and NMR
Venue: Scientific reports

The traditional activity guided approach has the shortcoming of low accuracy and efficiency in discovering active compounds from TCM. In this work, an approach was developed by integrating activity index (AI) liquid chromatography mass spectrometry (LC MS) and nuclear magnetic resonance (NMR) to rapidly predict and identify the potential active constituents from TCM. This approach was used to discover and identify the anti inflammatory constituents from a TCM formula, Gui Zhi Jia Shao Yao Tang (GZJSYT) The AI results indicated that, among the 903 constituents detected in GZJSYT by LC MS, 61 constituents with higher AI values were very likely to have anti inflammatory activities. And eight potential active constituents of them were isolated and validated to have significant inhibitory effects against NO production on LPS induced RAW 264.7 cell model. Among them, glycyrrhisoflavone (836) glisoflavanone (893) and isoangustone A (902) were reported to have anti inflammatory effects for the first time. The proposed approach could be generally applicable for rapid and high efficient discovery of anti inflammatory constituents from other TCM formulae or natural products.
Study on the pharmacokinetic profiles of corynoline and its potential interaction in traditional Chinese medicine formula Shuanghua Baihe tablets in rats by LC MS/MS.
Venue: Journal of pharmaceutical and biomedical analysis

Corynoline, the major isoquinoline alkaloid component derived from Corydalis bungeana Herba, has greatly impressed many scientists due to its various pharmacological effects. However, there is little information on its pharmacokinetics. In this study, a sensitive and rapid liquid chromatography with tandem mass spectrometry method has been developed and validated for the determination of corynoline in rat plasma. The calibration curve showed good linearity within the concentration range of 0.01 20 ng/mL. The method was fully validated and successfully applied in a pharmacokinetic study of corynoline in rats, in which the rats were treated with corynoline, corynoline combined with berberine and the traditional Chinese medicine formula Shuanghua Baihe tablets (SBT, containing corynoline, berberine and other ingredients) respectively. Corynoline showed low bioavailability and a high elimination rate. The terminal elimination half life was prolonged about 3 fold, and the maximum plasma concentration (C(max) area under the plasma concentration time curve (AUC(0 12) of corynoline were increased by 46.5% and 34.2% respectively, when the same dosage of corynoline was administered in SBT. Furthermore, compared with the corynoline group, the C(max) and AUC(0 12) were increased by 11.1 fold and 5.0 fold respectively, in the rats treated with corynoline combined with berberine. The results suggested that oral administration of the SBT prolonged the elimination half life of corynoline and increased its bioavailability. Berberine played an important role in the pharmacokinetic drug drug interaction of corynoline and ingredients in SBT, and the influence of other co existing compounds in SBT on the pharmacokinetic profiles of corynoline could not be ignored.
LC MS Based Quality Assessment of a Traditional Chinese Medicine YANG XIN Formulation.
Venue: Planta medica

YANG XIN is a traditional Chinese medicine formulation used for nervous fatigue and consists of a proprietary blend of concentrated extracts from 18 plant ingredients. The 18 constituent plant ingredients, YANG XIN capsules, and formulations 2014 005_1 A and 1B were extracted by consecutive 24 hour macerations with dichloromethane followed by methanol. Metabolite separation was carried out through LC MS in 40 minutes. Data acquisitions for qualitative and quantitative analyses of the samples were collected under ESI modes and APCI mode using full spectrum scan analysis.A total of 18 analytical markers were identified by LC MS for YANG XIN formulations based on accurate mass measurements, molecular formula, double bond equivalent, MFG score, and error (ppm) of the measurement. Aditionally, a comparison of the data with previously reported results for the compounds, followed by identity confirmation with standard compounds, was performed. Seventeen analytical markers representing 17 plant ingredients in the different YANG XIN formulations were quantified for the first time. The YANG XIN capsules and the 2014 005_1B formulation were similar to each other and different from the 2014 005_1 A formulation based on the fact that both YANG XIN capsules and the 2014 005_1B formulation contain the same analytical markers. This method provides good linearity (r(2) 0.9945) intraday precision (R. S. D. 3.9 interday precision (R. S. D. 5.6 accuracy (99.2 101 recovery (145.7 limit of detection (0.0011 0.0732 ug/mL) and limit of quantitation (0.0038 0.2441 ug/mL)