Miracle-dz/UniFAR-FTUs huggingface dataset:
A Biomechanical Comparison of Single-Leg Landing and Unplanned Sidestepping

Abstract Unplanned sidestepping and single-leg landing have both been used to screen athletes for injury risk in sport. The aim of this study was to directly compare the lower limb mechanics of three single-leg landing tasks and an unplanned sidestepping task. Thirteen elite female team sport athletes completed a series of non-contact single-leg drop landings, single-leg countermovement jumps, single-leg jump landings and unplanned sidestepping in a randomized counterbalanced design. Three dimensional kinematics (250 Hz) and ground reaction force (2,000 Hz) data with a participant specific lower limb skeletal model were used to calculate and compare hip, knee and ankle joint kinematics, peak joint moments, instantaneous joint power and joint work during the weight acceptance phase of each sporting task (α=0.05). Peak knee joint moments and relevant injury risk thresholds were used to classify each athlete's anterior cruciate ligament injury risk during unplanned sidestepping and single-leg jump landing. Results showed that peak joint moments, power and work were greater during the single-leg jump landing task when compared to the single-leg drop landings and single-leg countermovement jumps tasks. Peak frontal and sagittal plane knee joint moments, knee joint power, as well as hip and knee joint work were greater during unplanned sidestepping when compared to the landing tasks. Peak ankle joint moments, power and work were greater during the landing tasks when compared to unplanned sidestepping. For 4 of the 13 athletes tested, their anterior cruciate ligament injury risk classification changed depending on whether they performed an unplanned sidestepping or single-leg jump landing testing procedure. To summarize, a single-leg jump landing testing procedure places a larger mechanical on the ankle joint when compared to single-leg drop landings, single-leg countermovement jumps and unplanned sidestepping. An unplanned sidestepping testing procedure places a larger mechanical demand on the knee joint when compared to single-leg landing tasks. Both unplanned sidestepping and single-leg jump landing testing procedures are recommended for classifying an athlete's anterior cruciate ligament injury risk in sport.
Understanding the Meaning of Understanding

Can we train a machine to detect if another machine has understood a concept? In principle, this is possible by conducting tests on the subject of that concept. However we want this procedure to be done by avoiding direct questions. In other words, we would like to isolate the absolute meaning of an abstract idea by putting it into a class of equivalence, hence without adopting straight definitions or showing how this idea "works" in practice. We discuss the metaphysical implications hidden in the above question, with the aim of providing a plausible reference framework.
[Snacking food pattern among Chinese children and adolescents in twelve provinces].

OBJECTIVE To examine and characterize the snacking patterns of Chinese children and adolescents. METHODS A total of 1195 subjects from the China Health and Nutrition Survey 2011 were included in the study. A multistage, stratified, sampling design was used. 24-h dietary recall method was used to collect food intake information in3 consecutive days. Snacking patterns were analyzed using cluster analysis. RESULTS The highest consumption rates of snacks were fruits and products in 4-10 years old and 11-17 years old groups of urban and rural areas( 77%-84%). The major snacking food pattern of more than 90% children aged 4-10 years old in ubran and rual areas were fruits and dairy products. The major snacking food pattern of 82. 6% adolescents aged11-17 years old in ubran area were fruits products. And 47. 4% adolescents in rural area were beverage and fruits products. CONCLUSION Four types of snacking food patterns are identified in 4-10 years old and 11-17 years old groups of urban and rural areas intwelve provinces of China.
Looking for effects of qualia on event-related brain potentials of close others in search for a cause of the similarity of qualia assumed across individuals

Qualia, the individual instances of subjective conscious experience, are private events. However, in everyday life, we assume qualia of others and their perceptual worlds, to be similar to ours. One way this similarity is possible is if qualia of others somehow contribute to the production of qualia by our own brain and vice versa. To test this hypothesis, we focused on the mean voltages of event-related potentials (ERPs) in the time-window of the P600 component, whose amplitude correlates positively with conscious awareness. These ERPs were elicited by images of the international affective picture system in 16 pairs of friends, siblings or couples going side by side through hyperscanning without having to interact. Each of the 32 members of these 16 pairs faced one half of the screen and could not see what the other member was presented with on the other half. One stimulus occurred on each half simultaneously. The sameness of these stimulus pairs was manipulated as well as the participants’ belief in that sameness by telling subjects’ pairs that they were going to be presented with the same stimuli in two blocks and with different ones in the two others. ERPs were more positive at all electrode subsets for stimulus pairs that were inconsistent with the belief than for those that were consistent. In the N400 time window, at frontal electrode sites, ERPs were again more positive for inconsistent than for consistent stimuli. As participants had no way to see the stimulus their partner was presented with and thus no way to detect inconsistence, these data might reveal an impact of the qualia of a person on the brain activity of another. Such impact could provide a research avenue when trying to explain the similarity of qualia across individuals.
Learning Human Optical Flow

The optical flow of humans is well known to be useful for the analysis of human action. Given this, we devise an optical flow algorithm specifically for human motion and show that it is superior to generic flow methods. Designing a method by hand is impractical, so we develop a new training database of image sequences with ground truth optical flow. For this we use a 3D model of the human body and motion capture data to synthesize realistic flow fields. We then train a convolutional neural network to estimate human flow fields from pairs of images. Since many applications in human motion analysis depend on speed, and we anticipate mobile applications, we base our method on SpyNet with several modifications. We demonstrate that our trained network is more accurate than a wide range of top methods on held-out test data and that it generalizes well to real image sequences. When combined with a person detector/tracker, the approach provides a full solution to the problem of 2D human flow estimation. Both the code and the dataset are available for research.
Dermal nerve fibre and mast cell density, and proximity of mast cells to nerve fibres in the skin of patients with complex regional pain syndrome

Abstract An interaction between cutaneous nerves and mast cells may contribute to pain in complex regional pain syndrome (CRPS). To explore this, we investigated the density of dermal nerve fibres, and the density and proximity of mast cells to nerve fibres, in skin biopsies obtained from the affected and unaffected limbs of 57 patients with CRPS and 28 site-matched healthy controls. The percentage of the dermis stained by the pan-neuronal marker protein gene-product 9.5 was lower in the affected limb of patients than in controls (0.12 ± 0.01% vs 0.22 ± 0.04%, P < 0.05), indicating a reduction in dermal nerve fibre density. This parameter did not correlate with CRPS duration. However, it was lower in the affected than unaffected limb of patients with warm CRPS. Dermal mast cell numbers were similar in patients and controls, but the percentage of mast cells less than 5 µm from nerve fibres was significantly lower in the affected and unaffected limbs of patients than in controls (16.8 ± 1.7%, 16.5 ± 1.7%, and 31.4 ± 2.3% respectively, P < 0.05). We confirm previous findings of a mild neuropathy in CRPS. Our findings suggest that this either develops very early after injury or precedes CRPS onset. Loss of dermal nerve fibres in CRPS might result in loss of chemotactic signals, thus halting mast cell migration toward surviving nerve fibres. Failure of normal nerve fibre–mast cell interactions could contribute to the pathophysiology of CRPS.
Interactive Classification for Deep Learning Interpretation

We present an interactive system enabling users to manipulate images to explore the robustness and sensitivity of deep learning image classifiers. Using modern web technologies to run in-browser inference, users can remove image features using inpainting algorithms and obtain new classifications in real time, which allows them to ask a variety of "what if" questions by experimentally modifying images and seeing how the model reacts. Our system allows users to compare and contrast what image regions humans and machine learning models use for classification, revealing a wide range of surprising results ranging from spectacular failures (e.g., a "water bottle" image becomes a "concert" when removing a person) to impressive resilience (e.g., a "baseball player" image remains correctly classified even without a glove or base). We demonstrate our system at The 2018 Conference on Computer Vision and Pattern Recognition (CVPR) for the audience to try it live. Our system is open-sourced at this https URL. A video demo is available at this https URL.
Binding to small ubiquitin-like modifier and the nucleolar protein Csm1 regulates substrate specificity of the Ulp2 protease

Ulp1 and Ulp2, in the yeast Saccharomyces cerevisiae, are the founding members of deSUMOylating enzymes. These enzymes remove small ubiquitin-like modifier (SUMO) from proteins and are conserved in all eukaryotes. Previous studies have shown that Ulp1 deSUMOylates the bulk of intracellular SUMOylated proteins, whereas Ulp2 is a highly specific enzyme. However, the mechanism for Ulp2's substrate specificity has been insufficiently understood. Here we show that the C-terminal regulatory domain of Ulp2 contains three distinct, yet conserved, motifs that control its in vivo substrate specificity and cell growth. Among them, a SUMO-interacting motif (SIM) was found to coordinate with the domain of Ulp2 that binds to the nucleolar protein Csm1 to ensure maximal deSUMOylation of Ulp2's nucleolar substrates. We found that whereas the Csm1-binding domain of Ulp2 recruits this enzyme to the nucleolus, Ulp2's C-terminal SIM promotes its SUMO protease activity and plays a key role in mediating the in vivo specificity of Ulp2. Thus, the substrate specificity of Ulp2 is controlled by both its subcellular localization and the SUMOylation status of its substrates. These findings illustrate the highly coordinated and dynamic nature of the SUMO pathways in maintaining homeostasis of intracellular SUMOylation.
Spatio-temporal expression of miRNA159 family members and their GAMYB target gene during the modulation of gibberellin-induced grapevine parthenocarpy

Grapevine, Vitis vinifera, is an important economic fruit crop that is highly sensitive to gibberellin (GA), and the exogenous application of GA can efficiently induce grapevine parthenocarpy. However, the molecular mechanisms underlying this process remain elusive. In this study, morphological changes during flower development in response to GA treatments were examined in the 'Zuijinxiang' cultivar. To obtain insights into the roles of miRNA159s in GA-induced grapevine parthenocarpy, VvmiR159a, VvmiR159b, VvmiR159c, and their target gene VvGAMYB were isolated, sequenced and characterized. Spatial-temporal expression analyses showed that VvmiR159c exhibited the highest expression levels at 4 d before flowering, followed by a gradual decrease, while VvGAMYB displayed an opposite pattern of expression with the lowest expression at the corresponding stage in response to GA treatment. A cleavage interaction between VvmiR159s and VvGAMYB and variations of their cleavage roles were confirmed in grapevine floral development. In addition, the potential roles of VvmiR159s in GA signaling were investigated through DELLA-protein repressors, indicating that GA-DELLA (SLR1)-VvmiR159c-VvGAMYB is the key signaling regulatory module in grapevine. Our findings provide novel insights into the GA-responsive roles of VvmiR159s in modulating grapevine floral development, which have important implications for the molecular breeding of high-quality seedless grapevine berry.
Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches

Sentences in a well-formed text are connected to each other via various links to form the cohesive structure of the text. Current neural machine translation (NMT) systems translate a text in a conventional sentence-by-sentence fashion, ignoring such cross-sentence links and dependencies. This may lead to generate an incoherent target text for a coherent source text. In order to handle this issue, we propose a cache-based approach to modeling coherence for neural machine translation by capturing contextual information either from recently translated sentences or the entire document. Particularly, we explore two types of caches: a dynamic cache, which stores words from the best translation hypotheses of preceding sentences, and a topic cache, which maintains a set of target-side topical words that are semantically related to the document to be translated. On this basis, we build a new layer to score target words in these two caches with a cache-based neural model. Here the estimated probabilities from the cache-based neural model are combined with NMT probabilities into the final word prediction probabilities via a gating mechanism. Finally, the proposed cache-based neural model is trained jointly with NMT system in an end-to-end manner. Experiments and analysis presented in this paper demonstrate that the proposed cache-based model achieves substantial improvements over several state-of-the-art SMT and NMT baselines.
Frequency of atrial arrhythmias after atrial flutter ablation and the effect of presenting rhythm on the day of ablation

ABSTRACT Radiofrequency catheter ablation of the cavotricuspid isthmus is a proven therapy for typical atrial flutter (AFl); however, in some patients, new atrial arrhythmias (AA) may occur after AFl ablation. This study explored the difference in the occurrence of spontaneous AA after AFl ablation as a function of the patient's presenting rhythm on the day of the AFl ablation. A retrospective study of consecutive patients who underwent AFl ablation at Baylor University Medical Center at Dallas was performed. A total of 188 subjects were included; 50% (94) presented in AFl (Group AFl) on the day of the ablation procedure and 94 presented in sinus rhythm (SR; Group SR). Group AFl patients were older (P < 0.001), more likely to have diabetes (P = 0.03), and more likely to have undergone previous heart surgery (P = 0.03). The median size of the left atrium was 4 cm (range 2.8–6.8) in Group AFl compared with 3.8 cm (range 2.6–5.6) in Group SR (P = 0.009). Atrial fibrillation was induced during the ablation procedure in 7.5% and 21.3% of patients in Groups AFl and SR, respectively (P = 0.007). Overall, 29 of 188 (15.4%) patients developed new AA within 1 year of the procedure, 13.8% in Group AFl vs 17.0% in Group SR (P = 0.57). In conclusion, patients presenting for AFl ablation in SR were younger and healthier but had more atrial fibrillation induced during their ablation procedure, with a trend toward more postablation AA due to additional arrhythmia substrate.
6.857: Pebble Smartwatch Security Assassment

The Pebble Watch is a popular device in a new breed of technology. It is one of the first consumer smartwatches able to run arbitrary code and pair with an Android or iPhone mobile phone in order to get text alerts, weather data, and other application data. The Pebble Watch provides an interface for the Watch applications to have access to persistant storage and phone application communication; however, these features also make it a potential attack vector for attackers to acquire sensitive data such as position information, text messages, and other private data from the phone. For our 6.857 Final Project, we performed a security analysis on the device to attempt to find any vulnerabilities or exploitable attack vectors to access this private data or to break the implicit security assumptions of the Pebble Watch.
The Protein Family Classification in Protein Databases via Entropy Measures

In the present work, we review the fundamental methods which have been developed in the last few years for classifying into families and clans the distribution of amino acids in protein databases. This is done through functions of random variables, the Entropy Measures of probabilities of occurrence of the amino acids. An intensive study of the Pfam databases is presented with restrictions to families which could be represented by rectangular arrays of amino acids with m rows (protein domains) and n columns (amino acids). This work is also an invitation to scientific research groups worldwide to undertake the statistical analysis with different numbers of rows and columns since we believe in the mathematical characterization of the distribution of amino acids as a fundamental insight on the determination of protein structure and evolution.
Curcumin Promotes Femoral Fracture Healing in a Rat Model by Activation of Autophagy

Background The aim of this study was to use a rat model of femoral fracture healing to study the effects of curcumin on cell autophagy, compared with treatment with 3-methyladenine (3-MA), an inhibitor of autophagy. Material/Methods Thirty-six Sprague-Dawley rats with right mid-femoral fracture were divided into three groups: the curcumin-treated group (N=12) (gavage with curcumin 400 mg/kg/day); the curcumin + 3-MA-treated group (gavage with curcumin 400 mg/kg/day + 3-MA 30 mg/kg/day); and the control group (N=12) (gavage normal saline). Each group underwent femoral bone imaging using anteroposterior X-ray and micro-computed tomography (CT) at two weeks and six weeks following bone fracture. All rats were euthanized at the end of the study. Histology of the bone was performed to compare bone healing. Immunofluorescence and immunohistochemical tissue staining and Western blots were performed, to compare the expression of autophagy-related proteins, Beclin-1 and LC3-II. Results Autophagy of rat femoral bone tissue was activated following fracture, increasing with time, reaching a peak at 24 hours. Imaging and histology showed that curcumin promoted the fracture healing in rats, which was reduced by treatment with 3-MA. Immunohistochemistry, immunofluorescence, and Western blot showed that curcumin treatment increased the expression of Beclin-1 and LC3-II, which were reduced by treatment with the autophagy inhibitor, 3-MA. Conclusions The findings of this study, in a rat model of femoral bone fracture healing, showed that curcumin promoted bone healing and autophagy, which were reduced by treatment with 3-MA, a known inhibitor of autophagy.
Valproate in combination with rituximab and CHOP as first-line therapy in diffuse large B-cell lymphoma (VALFRID).

The aims of the present study were to establish the maximally tolerated dose (MTD) of the histone deacetylase inhibitor valproate together with R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) in patients with diffuse large B-cell lymphoma (DLBCL). A phase 1 dose escalation study of valproate together with R-CHOP followed by a dose expansion study using the established MTD of valproate was performed. MTD of valproate together with R-CHOP was established at 60 mg/kg per day, as higher doses resulted in auditory adverse events (AEs). In the study population, 2-year progression-free survival was 84.7% (95% confidence interval [CI], 73.2%-98%). The 2-year overall survival (OS) was 96.8% (n = 31; 95% CI, 90.8%-100%). These data were compared with 2 risk-factor matched populations of R-CHOP-treated patients from the Swedish Lymphoma Registry (cohort A, n = 330 and B, n = 165). As compared with the matched cohorts, we observed a statistically significant (P = .034 and 0.028, respectively) beneficial effect of the addition of valproate to R-CHOP on the OS in the studied population. In conclusion, addition of valproate to R-CHOP is a feasible strategy in first-line treatment of DLBCL. The proposed phase 2 dose is 60 mg/kg per day together with prednisone. Auditory AEs were unexpected and warrant close monitoring. Our findings suggest that drugs that target histone deacetylation may add benefit and are tolerable when combined with standard R-CHOP in DLBCL. The phase 1 trial was registered at www.clinicaltrials. gov as #NCT01622439.
Building Artificial Intelligence for Dermatological Practice

Purpose: Wrinkles are the most visually obvious features of aging and are the prime target of a vast number of products (both medical and cosmetic). It is important for clinicians to be able to grade wrinkles objectively. Although wrinkles are easily recognisable for humans, it remains a very challenging task for computer vision systems to detect them automatically. In our center, we developed a wrinkle detection algorithm based on a technique called “reversible jump Markov chain Monte Carlo framework with delayed rejection”. This system is able to accurately and rapidly detect wrinkles. Methods: 300 images were submitted to the analyser for reading. Each image was analysed with a million iterations in ten minutes. The same 300 images were sent to a dermatologist for post-analyser evaluation. The system was trained to detect major and minor wrinkles. The results were benchmarked against the reviewing dermatologist. Results: Out of 300 patients, the pickup rate for major wrinkles was 100%. However, on average it would be able to trace out only approximately 56.5% of the entire length of the wrinkle. The analyser was also able to detect minor wrinkles. However, the detection rate was only 13.4%. Conclusion: Our system is able to accurately detect all major wrinkles. This enables physicians to track progress of antiwrinkling techniques such as Botox or surgical facelifts. Our system is also low cost as the wrinkle detection can be simply based off simple photographs.