Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-Time Voluntary Motion Prediction and Parkinson’s Tremor Reduction Using Deep Neural Networks

Wearable tremor suppression devices (WTSD) have been considered as a viable solution to manage parkinsonian tremor. WTSDs showed their ability to improve the quality of life of individuals suffering from parkinsonian tremor, by helping them to perform activities of daily living (ADL). Since parkinsonian tremor has been shown to be nonstationary, nonlinear, and stochastic in nature, the performance of the tremor models used by WTSDs is affected by their inability to adapt to the nonlinear behaviour of tremor. Another drawback that the models have is their limitation to estimate or predict one step ahead, which introduces delay when used in real time with WTSDs, which compromises performance. To address these issues, this work proposes a deep neural network model that learns the correlations and nonlinearities of tremor and voluntary motion, and is capable of multi-step prediction with minimal delay. A generalized model that is task and user-independent is presented. The model achieved an average estimation percentage accuracy of 99.2%. The average future voluntary motion prediction percentage accuracy with 10, 20, 50, and 100 steps ahead was 97.0%, 94.0%, 91.6%, and 89.9%, respectively, with prediction time as low as 1.5 ms for 100 steps ahead. The proposed model also achieved an average of 93.8% ± 1.5% in tremor reduction when it was tested in an experimental setup in real time. The tremor reduction showed an improvement of 25% over the Weighted Fourier Linear Combiner (WFLC), an estimator commonly used with WTSDs.
Thanks, but No Thanks: Unpacking the Relationship Between Relative Power and Gratitude

Power and gratitude are universal features of social life and impact a wide range of intra- and interpersonal outcomes. Drawing on the social distance theory of power, we report four studies that examine how relative power influences feelings and expressions of gratitude. An archival analysis of author acknowledgements in published academic articles (N = 1,272) revealed that low-power authors expressed more gratitude than high-power authors. A pre-registered experiment (N = 283) involving live conversations online found that having relatively low power caused increased feelings and expressions of gratitude after benefiting from a favor. Another pre-registered experiment (N = 356) demonstrated that increased interpersonal orientation among lower power individuals and increased psychological entitlement among higher power individuals drove these effects. Finally, an archival analysis of conversational exchanges (N = 136,215) among Wikipedia editors revealed that relational history moderated the effect of relative power on gratitude expression. Overall, our findings highlight when and why relative power influences feelings and expressions of gratitude.
Theoretical study of NMR, infrared and Raman spectra on triple-decker phthalocyanines

Electronic structures and magnetic properties of multi-decker phthalocyanines were studied by theoretical calculation. Electronic structures, excited processes at multi-states, isotropic chemical shifts of 13C, 14N and 1H-nuclear magnetic resonance (NMR), principle V-tensor in electronic field gradient (EFG) tensor and asymmetry parameters (η), vibration mode in infrared (IR) and Raman spectra of triple-decker phthalocyanines were calculated by density functional theory (DFT) and time-dependent DFT using B3LYP as basis function. Electron density distribution was delocalized on the phthalocyanine rings with electron static potential. Considerable separation of chemical shifts in 13C, 14N and 1H-NMR was originated from nuclear spin interaction between nitrogen and carbon atoms, nuclear quadrupole interaction based on EFG and η of central metal under crystal field. Calculated optical absorption at multi-excited process was derived from overlapping π-orbital on the phthalocyanine rings. The vibration modes in.
Thromboangiitis obliterans plasma-derived exosomal miR-223-5p inhibits cell viability and promotes cell apoptosis of human vascular smooth muscle cells by targeting VCAM1

Abstract Background: Exosomes-encapsulated microRNAs (miRNAs) have been established to be implicated in the pathogenesis of different diseases. Nevertheless, circulating exosomal miRNAs of thromboangiitis obliterans (TAO) remains poorly understood. This study aimed to explore the effects of exosomal miRNAs associated with TAO on human vascular smooth muscle cells (HVSMCs). Methods: The exosomes were isolated from the plasma of TAO patients and normal controls and then were sent for small RNA sequencing. Differentially expressed miRNAs (DE-miRNAs) were identified by bioinformatics analysis and were confirmed by RT-qPCR. After that, PKH67 staining was used to label exosomes and co-cultured with HVSMCs. Cell viability and apoptosis were, respectively, tested by CCK-8 assay and flow cytometry. Finally, dual-luciferase reporter assay was used to confirm the downstream targets of miR-223-5p. Results: A total of 39 DE-miRNAs were identified between TAO patients and normal controls, of which, miR-223-5p was one of the most significantly up-regulated miRNAs. TAO plasma-derived exosomes or miR-223-5p mimics inhibited cell viability of HVSMCs and promoted cell apoptosis. The pro-apoptotic effect of TAO plasma-derived exosomes was alleviated by miR-223-5p inhibitor. Additionally, the expressions of VCAM1 and IGF1R were down-regulated by exosomes and miR-223-5p mimics, and were abrogated by miR-223-5p inhibitor. Dual-luciferase report showed that VCAM1 was the target of miR-223-5p. Conclusions: Our findings imply that circulating exosomal miR-223-5p may play an essential role in the pathogenesis of TAO, and provide a basis for miR-6515-5p/VCAM1 as novel therapeutic targets and pathways for TAO treatment.
Artificial intelligence for polyp characterization: a challenging road ahead

lenging tasks in gastrointestinal endoscopy. We all agree that histology represents one of the most expensive items in colonoscopy. In that case, we need to question how productive or cost effective it is to send an innocent-looking lesion, such as a hyperplastic polyp, for further evaluation, wasting valuable resources without any clinical benefit. To facilitate the implementation of the optical-based strategy, a favorable scenario was set, as follows. 1) A decision was taken to focus primarily on diminutive polyps; these lesions represent up to 80% of all polyps and have a negligible risk of harboring advanced features, minimizing the uncertainty that may undermine the shift from histology to optical biopsy [1]. 2) Experts provided simplified lesion classifications taking into account superficial features (e. g. vascular pattern, pits distribution) under blue-light chromoendoscopy [2, 3]. 3) Structured training/retraining programs for endoscopists were validated. 4) Scientific societies recommended thresholds for maximizing the benefit/risk ratio [1, 4]. Despite these advances, optical biopsy is still far from replacing histology as an acceptable clinical standard. There are several reasons for this lack of progress. First and foremost, generalizability of classification-based optical biopsy results in the community setting is poor; the DISCARD 2 trial [5] showed the overall accuracy in polyp characterization to be well below 90%. Second, dogmatic perceptions regarding the transformation of every removed tissue piece to a histology specimen remains prevalent. Third, there are issues associated with reimbursement, as well as medicolegal concerns. Fourth, optical biopsy requires consistent, precise, and detailed photodocumentation. Last but not least, there is understandable concern among many stakeholders of replacing a well-accepted objective and clinical standard with another potentially inferior practice, just for the sake of macroeconomic savings.
Changes in mood and health‐related quality of life in Look AHEAD 6 years after termination of the lifestyle intervention

The Action for Health in Diabetes (Look AHEAD) study previously reported that intensive lifestyle intervention (ILI) reduced incident depressive symptoms and improved health‐related quality of life (HRQOL) over nearly 10 years of intervention compared with a control group (the diabetes support and education group [DSE]) in participants with type 2 diabetes and overweight or obesity. The present study compared incident depressive symptoms and changes in HRQOL in these groups for an additional 6 years following termination of the ILI in September 2012.
Further evidence for motivated helplessness in the context of the COVID-19 outbreak: the case of Argentina before and during the pandemic

ABSTRACT According to the motivated helplessness hypothesis, a sense of helplessness in coping with threats in a specific domain can serve an anxiety-buffering function. The purpose of this study was to test this hypothesis in the context of the coronavirus (COVID-19) pandemic in Argentina, using data collected before and during the pandemic. Findings supported the motivated helplessness hypothesis: Whereas feelings of helplessness to avoid being infected with COVID-19 were positively related to fear of being infected with COVID-19 and state anxiety before the pandemic, these feelings were negatively related to fear of being infected (and not directly related to state anxiety) during the pandemic. These findings demonstrate the specificity of the motivated helplessness effect and further establish this effect in the context of the COVID-19 pandemic.
Prevalence and temporal trends in prepregnancy nutritional status and gestational weight gain of adult women followed in the Brazilian Food and Nutrition Surveillance System from 2008 to 2018

Abstract Prepregnancy body mass index (BMI) and gestational weight gain (GWG) are the most investigated indicators of maternal nutritional status, which is a modifiable factor that plays a vital role in maternal and infant health. This study describes prepregnancy BMI and GWG of 840,243 women with 2,087,765 weight observations in the Brazilian Food and Nutrition Surveillance System from 2008 to 2018. Prepregnancy BMI was classified according to the World Health Organization cut‐offs. Total GWG was calculated from weight measurements taken after 36 weeks of pregnancy and classified according to the Institute of Medicine guidelines. Temporal trends in prepregnancy BMI status were examined, and maps were used to evaluate changes in excessive GWG in each Brazilian federation unit. On overall, prepregnancy overweight and obesity increased from 22.6% to 28.8% and from 9.8% to 19.8%, respectively, between 2008 and 2018. The prevalence of excessive GWG rose from 34.2% to 38.7% during the same period and in 11 of the 27 Brazilian federation units between 2008 and 2016. Women with underweight showed the highest values for mean total GWG for all the compared years (overall variation from 12.3 to 13.1 kg), followed by those with normal weight (11.9 to 12.5 kg), overweight (10.1 to 10.9 kg) and obesity (from 8.2 to 8.9 kg). Within each BMI group, values remained fairly stable throughout the studied period for first‐ and second‐trimester GWG and total GWG. These results help to fill a significant gap in understanding the distribution of prepregnancy BMI and GWG in Brazilian women.
On the oximine complexes of transition metals. Part CXIV. New mixed sulfito - cobalt(III) - Complexes with alicyclic alpha-dioximes

20 new sulfito-complexes of the type: Cation . [Co(Diox.H)_2(SO_3)(amine)]. n H_2O and Cation . [Co(Diox.H)_2(SO_3)_2]. H_2O (Cation: Na^+, NH_4^+ amine.H^+, $CoL_6^3+, CrL_6^3+; L = H_2O, NH_3, en, urea; Diox.H_2 = dimethylglyoxime or alicyclic alpha-dioxime with C_5 . C_8) were obtained and characterized by middle and far FTIR, - electronic - and mass spectra. The protolytic equilibria of [Co(Diox.H)_2 (SO_3)_2]^3- and [Co(Diox.H)_2 (SO_3)(amine)]^- were studied by spectrophotometric and potentiometric measurements.
The co.LAB Generic Framework for Collaborative Design of Serious Games: Development Study

Background Serious games are increasingly used at all levels of education. However, research shows that serious games do not always fulfill all the targeted pedagogical objectives. Designing efficient and engaging serious games is a difficult and multidisciplinary process that requires a collaborative approach. Many design frameworks have been described, most of which are dedicated to the development of specific types of serious games and take the collaborative dimension into account only to a limited extent. Objective Our aim was to create a generic serious game design framework that could be adapted to all kinds of serious games and implemented in a collaborative web platform. Methods We combined the results of a literature review with our experience in serious game design and development to determine the basic building blocks of a collaborative design framework. We then organized these building blocks into categories and determined the features that a generic design framework should include. Finally, based on the paradigm of complex systems and systemic modelling, we created the co.LAB generic design framework and specifications to allow its implementation in a collaborative web platform. Results Based on a total of 10 existing design methodologies or frameworks, 23 building blocks were identified and represent the foundation of the co.LAB framework. These blocks were organized into 5 categories: “context and objectives,” “game design,” “mechanics,” “learning design,” and “assessment. ” The arrangement by categories provides a structure that can be visualized in multiple and complementary ways. The classical view links game and learning design while other views offer project, systemic, and process visualizations. For the implementation of the co.LAB framework in a web platform, we propose to convert the building blocks into “cards. ” Each card would constitute a collaborative working space for the design of the corresponding block. To make the framework adaptive, cards could be added, adapted, or removed according to the kind of serious game intended. Enhancing the visualization of relationships between cards should support a systemic implementation of the framework. Conclusions By offering a structured view of the fundamental design elements required to create serious games, the co.LAB framework can facilitate the design and development of such games by virtue of a collaborative, adaptive, and systemic approach. The different visualizations of the building blocks should allow for a shared understanding and a consistent approach throughout the design and development process. The implementation of the co.LAB framework in a collaborative web platform should now be performed and its actual usability and effectiveness tested.
Machine Learning Guided Design of Single–Phase Hybrid Lead Halide White Phosphors

Designing new single‐phase white phosphors for solid‐state lighting is a challenging trial–error process as it requires to navigate in a multidimensional space (composition of the host matrix/dopants, experimental conditions, etc.). Thus, no single‐phase white phosphor has ever been reported to exhibit both a high color rendering index (CRI ‐ degree to which objects appear natural under the white illumination) and a tunable correlated color temperature (CCT). In this article, a novel strategy consisting in iterating syntheses, characterizations, and machine learning (ML) models to design such white phosphors is demonstrated. With the guidance of ML models, a series of luminescent hybrid lead halides with ultra‐high color rendering (above 92) mimicking the light of the sunrise/sunset (CCT = 3200 K), morning/afternoon (CCT = 4200 K), midday (CCT = 5500 K), full sun (CCT = 6500K), as well as an overcast sky (CCT = 7000 K) are precisely designed.
Different functional traits among closely related algal symbionts dictate stress endurance for vital Indo‐Pacific reef‐building corals

Reef‐building corals in the genus Porites are one of the most important constituents of Indo‐Pacific reefs. Many species within this genus tolerate abnormally warm water and exhibit high specificity for particular kinds of endosymbiotic dinoflagellates that cope with thermal stress better than those living in other corals. Still, during extreme ocean heating, some Porites exhibit differences in their stress tolerance. While corals have different physiological qualities, it remains unknown whether the stability and performance of these mutualisms is influenced by the physiology and genetic relatedness of their symbionts. We investigated two ubiquitous Pacific reef corals, Porites rus and Porites cylindrica, from warmer inshore and cooler offshore reef systems in Palau. While these corals harbored a similar kind of symbiont in the genus Cladocopium (within the ITS2 C15 subclade), rapidly evolving genetic markers revealed evolutionarily diverged lineages corresponding to each Porites species living in each reef habitat. Furthermore, these closely related Cladocopium lineages were differentiated by their densities in host tissues, cell volume, chlorophyll concentration, gross photosynthesis, and photoprotective pathways. When assessed using several physiological proxies, these previously undifferentiated symbionts contrasted in their tolerance to thermal stress. Symbionts within P. cylindrica were relatively unaffected by exposure to 32℃ for 14 days, whereas P. rus colonies lost substantial numbers of photochemically compromised symbionts. Heating reduced the ability of the offshore symbiont associated with P. rus to translocate carbon to the coral. By contrast, high temperatures enhanced symbiont carbon assimilation and delivery to the coral skeleton of inshore P. cylindrica. This study indicates that large physiological differences exist even among closely related symbionts, with significant implications for thermal susceptibility among reef‐building Porites.
A comparison of liver fat fraction measurement on MRI at 3T and 1.5T

Purpose Volumetric liver fat fraction (VLFF) measurements were made using the HepaFat-Scan® technique at 1.5T and 3T to determine the agreement between the measurements obtained at the two fields. Methods Sixty patients with type 2 diabetes (67% male, mean age 50.92 ± 6.56yrs) and thirty healthy volunteers (50% male, mean age 48.63 ± 6.32yrs) were scanned on 1.5T Aera and 3T Skyra (Siemens, Erlangen, Germany) MRI scanners on the same day using the HepaFat-Scan® gradient echo protocol with modification of echo times for 3T (TEs 2.38, 4.76, 7.14 ms at 1.5T and 1.2, 2.4, 3.6 ms at 3T). The 3T analyses were performed independently of the 1.5T analyses by a different analyst, blinded from the 1.5T results. Data were analysed for agreement and bias using Bland-Altman methods and intraclass correlation coefficients (ICC). A second cohort of 17 participants underwent interstudy repeatability assessment of VLFF measured by HepaFat-Scan® at 3T. Results A small, but statistically significant mean bias of 0.48% was observed between 3T and 1.5T with 95% limits of agreement -2.2% to 3.2% VLFF. The ICC for agreement between field strengths was 0.983 (95% CI 0.972–0.989). In the repeatability cohort studied at 3T the repeatability coefficient was 4.2%. The ICC for agreement was 0.971 (95% CI 0.921–0.989). Conclusion There is minimal bias and excellent agreement between the measures of VLFF using the HepaFat-Scan® at 1.5 and 3T. The test retest repeatability coefficient at 3T is comparable to the 95% limits of agreement between 1.5T and 3T suggesting that measurements can be made interchangeably between field strengths.
Clinical profile of hospitalized COVID-19 patients in first & second wave of the pandemic: Insights from an Indian registry based observational study

Background & objectives: India witnessed a massive second surge of COVID-19 cases since March 2021 after a period of decline from September 2020. Data collected under the National Clinical Registry for COVID-19 (NCRC) were analysed to describe the differences in demographic and clinical features of COVID-19 patients recruited during these two successive waves. Methods: The NCRC, launched in September 2020, is an ongoing multicentre observational initiative, which provided the platform for the current investigation. Demographic, clinical, treatment and outcome data of hospitalized, confirmed COVID-19 patients were captured in an electronic data portal from 41 hospitals across India. Patients enrolled during September 1, 2020 to January 31, 2021 and February 1 to May 11, 2021 constituted participants of the two successive waves, respectively. Results: As on May 11, 2021, 18961 individuals were recruited in the registry, 12059 and 6903 reflecting in-patients from the first and second waves, respectively. Mean age of the patients was significantly lower in the second wave [48.7 (18.1) yr vs. 50.7 (18.0) yr, P<0.001] with higher proportion of patients in the younger age group intervals of <20, and 20-39 yr. Approximately 70 per cent of the admitted patients were ≥ 40 yr of age in both waves of the pandemic. The proportion of males were slightly lower in second wave as compared to the first [4400 (63.7%) vs. 7886 (65.4%), P=0.02]. Commonest presenting symptom was fever in both waves. In the second wave, a significantly higher proportion [2625 (48.6%) vs. 4420 (42.8%), P<0.003] complained of shortness of breath, developed ARDS [422(13%) vs. 880 (7.9%), P<0.001], required supplemental oxygen [1637 (50.3%) vs. 4771 (42.7%), P<0.001], and mechanical ventilation [260 (15.9%) vs. 530 (11.1%), P<0.001]. Mortality also significantly increased in the second wave [OR: 1.35 (95% CI: 1.19, 1.52)] in all age groups except in <20 yr. Interpretation & conclusions: The second wave of COVID-19 in India was slightly different in presentation than the first wave, with a younger demography, lesser comorbidities, and presentation with breathlessness in greater frequency.
Monitoring of the binding processes of black tea polyphenols to bovine serum albumin surface using quartz crystal microbalance with dissipation.

OF THE DISSERTATION Monitoring the Binding Processes of Black Tea Polyphenols to Bovine Serum Albumin Surface using Quartz Crystal Microbalance with Dissipation Monitoring by MONTHANA CHITPAN Dissertation Director: Professor Chi-Tang Ho Among three major types, green, oolong, and black tea, black tea is the most popular of tea consumption as indicated by almost 80% in the industry of tea production with 3 billion kilograms. Theaflavins and thearubigin are two main polyphenols that give black tea its characteristic color and taste. Theaflavins are classified as the mixtures of four compounds including theaflavin (TF-1), theaflavin-3-gallate (TF-2a), theaflavin-3'gallate (TF-2b), and theaflavin-3, 3'-digallate (TF-3). There are numerous epidemiological studies both in vitro and vivo have indicated that black tea polyphenols including, theaflavins, and thearubigin, have ability to be antioxidative, antiinflammatory, anti-mutagenic, and anticancer properties, consequently reducing the risk of non-communicable degenerative diseases such as cancer, and coronary heart disease. Tea polyphenols have been reported to interact with proteins such as salivary proline-rich protein, bovine serum albumin, and milk protein. Some studies reported that the interactions between polyphenols in tea and proteins might lead to the loss of bioavailability of polyphenols and their bioactive capacity.