Miracle-dz/UniFAR-FTUs huggingface dataset:
Personalization improves the biomechanical efficacy of foot progression angle modifications in individuals with medial knee osteoarthritis

Objectives: The goal of this study was to evaluate the importance of personalization when selecting foot progression angle modifications that aim to reduce the peak knee adduction moment in individuals with medial knee osteoarthritis. Design: One hundred seven individuals with medial knee osteoarthritis walked on an instrumented treadmill with biofeedback instructing them to toe-in and toe-out by 5{degrees} and 10{degrees} relative to their self-selected foot progression angle. We selected individuals' personalized foot progression angle as the modification that maximally reduced their larger knee adduction moment peak. Additionally, we used lasso regression to identify which secondary changes in kinematics made a 10{degrees} toe-in gait modification more effective at reducing the first knee adduction moment peak. Results: Sixty-six percent of individuals reduced their larger knee adduction moment peak by at least 5% with a personalized foot progression angle modification, which is more than (p<0.001) the 54% and 23% of individuals who reduced it with a uniformly-assigned 10{degrees} toe-in or toe-out modification, respectively. When toeing-in, greater reductions in the first knee adduction moment peak were related to an increased frontal-plane tibia angle (knee more medial than ankle), a more valgus knee abduction angle, reduced contralateral pelvic drop, and a more medialized center of pressure in the foot reference frame. Conclusions: Personalization increases the proportion of individuals with medial knee osteoarthritis who may benefit from modification of their foot progression angle.
Determination of Kinetic Parameters from GPC-Data

Abstract The molecular weight distribution and its first moments of selected polymers were experimentally determined through GPC-investigations with additional molecular weight detection. In on-line operation discontinuously functioning Ubbelohde-viscometer was used for the determination of degree of polymerization in dependence on elution volume. The relation between the experimentally determined values and relative kinetic parameters were derived for some polymers prepared by radical mechanism. The relative constants which determines the branching structure in polymer can be now calculated. From the investigated polymers the effect of chemical nature of monomer units for the branching formation was determined.
Influence of clinical characteristics and anti-cancer therapy on outcomes from SARS-CoV-2 infection: a systematic review and meta-analysis of 5,678 cancer patients

Background The COVID-19 pandemic started a healthcare crisis and heavily impacted cancer services. Methods Data from cohort studies of COVID-19 cancer patients published up until October 23rd 2020 from PubMed, PubMed Central, medRxiv and Google Scholar were reviewed. Meta-analyses using the random effects model was performed to assess the risk of death in cancer patients with COVID-19. Results Our meta-analyses including up to 5,678 patients from 13 studies showed that the following were all statistically significant risk factors for death following SARS-CoV-2 infection in cancer patients: age of 65 and above, presence of co-morbidities, cardiovascular disease, chronic lung disease, diabetes and hypertension. There was no evidence that patients who had received cancer treatment within 60 days of their COVID-19 diagnosis were at a higher risk of death, including patients who had recent chemotherapy. Conclusions Cancer patients are susceptible to severe COVID-19, especially older patients and patients with co-morbidities who will require close monitoring. Our findings support the continued administration of anti-cancer therapy during the pandemic. The analysis of chemotherapy was powered at 70% to detect an effect size of 1.2 but all other anti-cancer treatments had lower power. Further studies are required to better estimate their impact on the outcome of cancer patients.
All four double-stranded RNA binding domains of Staufen2 contribute to efficient mRNA recognition and transcript localization

of localization a of and Drosophila oocytes and mouse They consist of three to four double-stranded RNA binding domains (dsRBDs) and a C-terminal dsRBD-like domain. Mouse Staufen2 (mStau2) like Drosophila Stau (dmStau) contains four dsRBDs. Existing data suggest that dsRBDs 3-4 are necessary and sufficient for binding to Stau-target mRNAs. In contrast, dsRBDs 1-2 have been suggested to be non-canonical dsRBDs, fulfilling other functions such as protein-protein interaction. Here, we show that dsRBDs 1 and 2 of mStau2 bind RNA with similar affinities and kinetics as dsRBDs 3 and 4. While RNA binding by these tandem domains is transient and characterized by high on-and off-rates, an mStau2 fragment with all four dsRBDs recognizes its target RNAs with high stability. Rescue experiments with dsRBD1-2 mutant versions of mStau2 in otherwise staufen -deficient Drosophila oocytes confirmed the physiological relevance of these findings. Full-length mStau2 partially rescued Stau-dependent mRNA localization, whereas a rescue with dsRBD1-2 mutant mStau2 failed. In summary, our data show that the dsRBDs 1-2 play essential roles in the mRNA recognition and function of Stau-family proteins of different species. The combinatorial binding of two tandem-dsRBDs allows for the cooperative recognition of more complex secondary structures and thus contributes to our understanding of how Stau proteins achieve selectivity in RNA binding. 80 mg/mL and 0.5 mg/mL T7 RNA polymerase in 1x TRX (40 Tris/HCl RT spermidine, 0.1 Triton X-100, 5 mM The reaction was incubated for 2 h at 37°C. The reaction was stopped by removal of precipitants by centrifugation at 48,384 g in 5 min and subsequent RNA precipitation with 0.1 V 3 M NaOAc and 3 V absolute ethanol at -20 °C o/n. CcpNmr Analysis RNA assignment of imino groups was based on 1 H, 1 H-NOESY spectra; an initial protein backbone assignment was made with HNCACB spectra. Titration experiments with the single Stau2 dsRBDs 1 and 2 as well as the tandem domain dsRBD1-2 were performed at 50 µM protein concentration. After snap-cooling, the RNA ligand was added in molar ratios of 0.5, 1.0, 2.0 and 3.0 to the protein.
Prediction of Born effective charges using neural network to study ion migration under electric fields: applications to crystalline and amorphous Li3PO4

ABSTRACT Understanding ionic behaviour under external electric fields is crucial to develop electronic and energy-related devices using ion transport. In this study, we propose a neural network (NN) model to predict the Born effective charges of ions along an axis parallel to an applied electric field from atomic structures. The proposed NN model is applied to Li3PO4 as a prototype. The prediction error of the constructed NN model is 0.0376 $e$e/atom. In combination with an NN interatomic potential, molecular dynamics (MD) simulations are performed under a uniform electric field of 0.1 V/Å, whereby an enhanced mean square displacement of Li along the electric field is obtained, which seems physically reasonable. In addition, the external forces along the direction perpendicular to the electric field, originating from the off-diagonal terms of the Born effective charges, are found to have a nonnegligible effect on Li migration. Finally, additional MD simulations are performed to examine the Li motion in an amorphous structure. The results reveal that Li migration occurs in various areas despite the absence of explicitly introduced defects, which may be attributed to the susceptibility of the Li ions in the local minima to the electric field. We expect that the proposed NN method can be applied to any ionic material, thereby leading to atomic-scale elucidation of ion behaviour under electric fields. GRAPHICAL ABSTRACT IMPACT STATEMENT This study introduces a new computational scheme for analysing ion behaviour in solids under electric fields, through the development of a neural network model to predict the Born effective charges.
Temporal Information Extraction from Textual Data using Long Short Term Memory Recurrent Neural Network

Temporal information extraction from raw text is always challenging. It is time consuming and sometimes difficult to extract temporal expression manually. For this reason, an automatic system is a demand to find the temporal expressions from the textual data automatically. In this paper, we have developed a temporal information extraction system using Long Short Term Memory (LSTM) recurrent neural network (RNN) along with word embedding where temporal expressions are extracted from TempEval-2 dataset. Performance of the proposed LSTM RNN based system is highly comparable with the other entries of TempEval-2 challenge. As LSTM RNN can handle both long and short term dependencies, the proposed system shows robust result than other renowned existing systems . Keywords: Temporal information; LSTM RNN; TempEval-2; Word embedding, TIMEX3
Error in the Superior Temporal Gyrus? A Systematic Review and Activation Likelihood Estimation Meta-Analysis of Speech Production Studies

Evidence for perceptual processing in models of speech production is often drawn from investigations in which the sound of a talker's voice is altered in real time to induce “errors. ” Methods of acoustic manipulation vary but are assumed to engage the same neural network and psychological processes. This paper aims to review fMRI and PET studies of altered auditory feedback and assess the strength of the evidence these studies provide for a speech error correction mechanism. Studies included were functional neuroimaging studies of speech production in neurotypical adult humans, using natural speech errors or one of three predefined speech manipulation techniques (frequency altered feedback, delayed auditory feedback, and masked auditory feedback). Seventeen studies met the inclusion criteria. In a systematic review, we evaluated whether each study (1) used an ecologically valid speech production task, (2) controlled for auditory activation caused by hearing the perturbation, (3) statistically controlled for multiple comparisons, and (4) measured behavioral compensation correlating with perturbation. None of the studies met all four criteria. We then conducted an activation likelihood estimation meta-analysis of brain coordinates from 16 studies that reported brain responses to manipulated over unmanipulated speech feedback, using the GingerALE toolbox. These foci clustered in bilateral superior temporal gyri, anterior to cortical fields typically linked to error correction. Within the limits of our analysis, we conclude that existing neuroimaging evidence is insufficient to determine whether error monitoring occurs in the posterior superior temporal gyrus regions proposed by models of speech production.
Determinants of Households Vulnerability to Food Insecurity: Evidence from Southern Ethiopia

This study examines the level and determinants of households’ vulnerability to food insecurity using feasible generalised least square method. Data were collected using structured questionnaires from a random sample of 574 households. Descriptive results indicated that the incidence, depth and severity of food insecurity were 68, 31 and 18 per cent, respectively, while mean vulnerability to food insecurity was 73.34 per cent. The mean level of vulnerability to food insecurity at Chencha (humid), Demba Gofa (semi-arid) and Kamba (arid) districts were 77, 55 and 84 per cent, respectively. In addition, the mean kilocalorie deficiency gap in the study areas was 682 Kcal per adult equivalent per day, while the mean kilocalorie deficiency gaps which would be needed to lift households out of food insecurity were 462, 440 and 506 Kcal per adult equivalent per day at Chencha (humid), Demba Gofa (semi-arid) and Kamba (arid) districts, respectively. Regression results revealed that the age of household head, family size, safety net programmes, distance from healthcare and death of household members significantly increase households’ vulnerability to food insecurity. But farm income, irrigation use and credit use significantly decrease households’ vulnerability to food insecurity. The government needs to provide credit, viable off-farm employment, small-scale irrigation services and road infrastructure to rural poor to reduce vulnerability to food insecurity. Population control and family planning would also increase resource and consumption per capita and will lead to lower vulnerability.
Caffeine and Parkinson’s Disease: Multiple Benefits and Emerging Mechanisms

Parkinson’s disease (PD) is the second most common neurodegenerative disorder, characterized by dopaminergic neurodegeneration, motor impairment and non-motor symptoms. Epidemiological and experimental investigations into potential risk factors have firmly established that dietary factor caffeine, the most-widely consumed psychoactive substance, may exerts not only neuroprotective but a motor and non-motor (cognitive) benefits in PD. These multi-benefits of caffeine in PD are supported by convergence of epidemiological and animal evidence. At least six large prospective epidemiological studies have firmly established a relationship between increased caffeine consumption and decreased risk of developing PD. In addition, animal studies have also demonstrated that caffeine confers neuroprotection against dopaminergic neurodegeneration using PD models of mitochondrial toxins (MPTP, 6-OHDA, and rotenone) and expression of α-synuclein (α-Syn). While caffeine has complex pharmacological profiles, studies with genetic knockout mice have clearly revealed that caffeine’s action is largely mediated by the brain adenosine A2A receptor (A2AR) and confer neuroprotection by modulating neuroinflammation and excitotoxicity and mitochondrial function. Interestingly, recent studies have highlighted emerging new mechanisms including caffeine modulation of α-Syn degradation with enhanced autophagy and caffeine modulation of gut microbiota and gut-brain axis in PD models. Importantly, since the first clinical trial in 2003, United States FDA has finally approved clinical use of the A2AR antagonist istradefylline for the treatment of PD with OFF-time in Sept. 2019. To realize therapeutic potential of caffeine in PD, genetic study of caffeine and risk genes in human population may identify useful pharmacogenetic markers for predicting individual responses to caffeine in PD clinical trials and thus offer a unique opportunity for “personalized medicine” in PD.
Anxiety and Motivation to Return to Sport During the French COVID-19 Lockdown

Feeling anxious and presenting self-determined motivations about returning to sport after a break may impair sport performance and increase the risk of sustaining an injury. Hence, the aim of this study is to explore differences in anxiety and motivation to return to sport according to gender, expertise, training status before and during the lockdown, and athletes’ availability (i.e., injury status) at the time of the lockdown. A total of 759 competitive athletes (49% female; mean age: 27 ± 10 years old) completed the cross-sectional study. Participants were invited to state their expertise, training status before and during the lockdown (did they have a training program), and whether they were injured at the start of the lockdown. Additionally, participants filled out psychometric self-report measures of anxiety (TFAI-return) and motivation (SMS-return) to return to sport. Due to non-normal distributions in the TFAI and SMS scores, non-parametric group comparisons were performed to compare participants for each categorical variable: non-parametric correlation tests were also performed to test the associations between continuous variables. Group comparisons showed higher scores of anxiety for females, younger athletes, athletes practicing and competing at the highest level, and athletes without a training program during the lockdown. Moreover, results suggested lower motivation scores (i.e., autonomous and controlled) for older athletes, experts (practicing for more than 10 years), athletes practicing and competing at a lower level, and athletes without a training program during the lockdown. Additionally, participants who were injured at the start of the lockdown reported higher scores of cognitive anxiety to return to sport than non-injured participants. The results of this study suggest that elite athletes may have suffered from external pressures to return to sport during the lockdown. Additionally, participants with a training program during the lockdown seemed to be less anxious and more self-determined to return to sport after the lockdown. Future studies may focus on the impact of cognitive behavioral interventions on anxiety and motivation to return to sport.
Scholarship@Western Scholarship@Western

When we reach to pick up an object, our actions are effortlessly informed by the object’s spatial information, the position of our limbs, stored knowledge of the object’s material properties, and what we want to do with the object. A substantial body of evidence suggests that grasps are under the control of “automatic, unconscious” sensorimotor modules housed in the “dorsal stream” of the posterior parietal cortex. Visual online feedback has a strong effect on the hand’s in-ﬂight grasp aperture. Previous work of ours exploited this effect to show that grasps are refractory to cued expectations for visual feedback. Nonetheless, when we reach out to pretend to grasp an object (pantomime grasp), our actions are performed with greater cognitive effort and they engage structures outside of the dorsal stream, including the ventral stream. Here we ask whether our previous ﬁnding would extend to cued expectations for haptic feedback. Our method involved a mirror apparatus that allowed participants to see a “virtual” target cylinder as a reﬂection in the mirror at the start of all trials. On “haptic feedback” trials, participants reached behind the mirror to grasp a size-matched cylinder, spatially coincident with the virtual one. On “no-haptic feedback” trials, participants reached behind the mirror and grasped into “thin air” because no cylinder was present. To manipulate haptic expectation, we organized the haptic conditions into blocked, alternating, and randomized schedules with and without verbal cues about the availability of haptic feedback. Replicating earlier work, we found the strongest haptic effects with the blocked schedules and the weakest effects in the randomized uncued schedule. Crucially, the haptic effects in the cued randomized schedule was intermediate. An analysis of the inﬂuence of the upcoming and immediately preceding haptic feedback condition in the cued and uncued random schedules showed that cuing the upcoming haptic condition shifted the haptic inﬂuence on grip aperture from the immediately preceding trial to the upcoming trial. These ﬁndings indicate that, unlike cues to the availability of visual feedback, participants take advantage of cues to the availability of haptic feedback, ﬂexibly engaging pantomime, and natural modes of grasping to optimize the movement.
Porcine Circovirus Type 3 Cap Inhibits Type I Interferon Induction Through Interaction With G3BP1

Porcine circovirus 3 (PCV3) infections cause clinical diseases similar to those seen in porcine circovirus 2 (PCV2) infections. It is unclear whether PCV3 infections can also cause immunosuppression like that seen with PCV2. Here, we report that Cap inhibits DNA-induced IFN-β mRNA transcription and IFN promoter activation. Cap was also found to inhibit cyclic GMP-AMP (cGAMP) synthase (cGAS) binding to interferon-stimulating DNA (ISD). Immunoprecipitation and mass spectrometry were used to identify cellular interaction partners of Cap. Cap interacted with G3BP1 and inhibited the interaction between GTPase-activating protein-(SH3 domain)-binding protein 1 (G3BP1) and cGAS. Furthermore, the destruction of endogenously expressed G3BP1 by siRNA significantly reduced IFN promoter activation, and phosphorylation of tank-binding kinase 1 (TBK1) was induced by ISD. Overexpression of G3BP1 attenuated the inhibition of ISD binding of cGAS by Cap and promoted phosphorylation of TBK1 and IRF3 induced by ISD. Collectively, our results show that the interaction between Cap and G3BP1 prevents cGAS from recognizing DNA, thereby inhibiting the IFN production.
Metabolic Signature of Articular Cartilage Following Mechanical Injury: An Integrated Transcriptomics and Metabolomics Analysis

Mechanical injury to the articular cartilage is a key risk factor in joint damage and predisposition to osteoarthritis. Integrative multi-omics approaches provide a valuable tool to understand tissue behavior in response to mechanical injury insult and help to identify key pathways linking injury to tissue damage. Global or untargeted metabolomics provides a comprehensive characterization of the metabolite content of biological samples. In this study, we aimed to identify the metabolic signature of cartilage tissue post injury. We employed an integrative analysis of transcriptomics and global metabolomics of murine epiphyseal hip cartilage before and after injury. Transcriptomics analysis showed a significant enrichment of gene sets involved in regulation of metabolic processes including carbon metabolism, biosynthesis of amino acids, and steroid biosynthesis. Integrative analysis of enriched genes with putatively identified metabolite features post injury showed a significant enrichment for carbohydrate metabolism (glycolysis, galactose, and glycosylate metabolism and pentose phosphate pathway) and amino acid metabolism (arginine biosynthesis and tyrosine, glycine, serine, threonine, and arginine and proline metabolism). We then performed a cross analysis of global metabolomics profiles of murine and porcine ex vivo cartilage injury models. The top commonly modulated metabolic pathways post injury included arginine and proline metabolism, arginine biosynthesis, glycolysis/gluconeogenesis, and vitamin B6 metabolic pathways. These results highlight the significant modulation of metabolic responses following mechanical injury to articular cartilage. Further investigation of these pathways would provide new insights into the role of the early metabolic state of articular cartilage post injury in promoting tissue damage and its link to disease progression of osteoarthritis.