Miracle-dz/UniFAR-FTUs huggingface dataset:
Objectively Measured Sedentary Behavior and Physical Fitness in Adults: A Systematic Review and Meta-Analysis

Background: Sedentary behavior has been considered an independent risk factor to health. The aim of this systematic review and meta-analysis was to examine associations between objectively measured sedentary time and physical fitness components in healthy adults. Methods: Four electronic databases (Web of Science, Scopus, Pubmed and Sport Discus) were searched (up to 20 September 2020) to retrieve studies on healthy adults which used observational, cohort and cross-sectional designs. Studies were included if sedentary time was measured objectively and examined associations with the health- or skill-related attributes of physical fitness (e.g., muscular strength, cardiorespiratory fitness, balance). After applying additional search criteria, 21 papers (11,101 participants) were selected from an initial pool of 5192 identified papers. Results: Significant negative associations were found between total sedentary time with cardiorespiratory fitness (r = −0.164, 95%CI: −0.240, −0.086, p < 0.001), muscular strength (r = −0.147, 95%CI: −0.266, −0.024, p = 0.020) and balance (r = −0.133, 95%CI: −0.255, −0.006, p = 0.040). Conclusions: The evidence found suggests that sedentary time can be associated with poor physical fitness in adults (i.e., muscular strength, cardiorespiratory fitness and balance), so strategies should be created to encourage behavioral changes.
Urban and Rural Differences in Trajectories of Depressive Symptoms in Later Life in the United States

Objective: This research has two primary goals: to examine the relationship between urban residence and trajectories of depressive symptoms and to investigate whether this relationship differs by social isolation and loneliness. Method: Data are from 2006, 2008, 2010, 2012, 2014, and 2016 waves of the Health and Retirement Study (HRS), a nationally representative sample of U.S. adults aged 51+ (n = 3,346 females and 2,441 males). We conduct latent growth curve analysis to predict both baseline and trajectories of depression based on urban or rural residency. Results: Residing in urban or rural areas is neither significantly associated with baseline nor the development of late-life depressive symptoms. For females, the relationship between urban residence and baseline depressive symptoms is explained by socioeconomic factors. Discussion: Findings of this study serve to better understand how social and geographic contexts shape long-term well-being of older adults.
Dopage du carbure de silicium par implantation ionique

Cette etude porte sur le dopage du carbure de silicium sic-6h et sic-4h par implantation ionique, a la fois des points de vue physico-chimique et electrique. L'obtention de dopages controles de type n et p est necessaire pour la realisation de dispositifs de haute puissance et/ou de hautes frequences, tels que les mesfets ou les diodes schottky. Dans une premiere partie, nous presentons les proprietes electriques et physiques particulieres du carbure de silicium et nous mettons en evidence l'interet de developper une technologie sur ce materiau. Dans une deuxieme partie, nous presentons les caracteristiques physiques de l'implantation, et en particulier celle des dopants classiques que sont l'azote, pour le dopage de type n, et l'aluminium et le bore, pour le dopage de type p. Les resultats obtenus avec ces dopants sont decrits et analyses. Nous en deduisons les conditions experimentales permettant une bonne qualite cristalline et un etat de surface acceptable pour la realisation de dispositifs. Nous detaillons egalement, dans une troisieme partie, la conduction electrique dans les deux polytypes sic-4h et sic-6h. Nous abordons le probleme de gel des porteurs et celui des differents modes de diffusion des porteurs. Les mesures electriques sont faites essentiellement par effet hall sur motif de van der pauw et par mesure de resistivite avec la methode des 4 pointes. Celles-ci nous permettent d'en deduire les parametres essentiels d'une couche conductrice dopee : le type du materiau, la concentration de porteurs libres, la resistivite et la mobilite. Les resultats des experiences realisees sont commentes et compares a l'analyse theorique. L'influence des differents parametres technologiques sur la conduction electrique est etudiee afin d'envisager la fabrication de dispositifs implantes sur carbure de silicium.
Combinatorial CAR design improves target restriction

CAR T cells targeting the B lymphocyte antigen CD19 have led to remarkable clinical results in B cell leukemia and lymphoma but eliminate all B lineage cells, leading to increased susceptibility to severe infections. As malignant B cells will express either immunoglobulin (Ig) light chain κ or λ, we designed a second-generation CAR targeting Igκ, IGK CAR. This construct demonstrated high target specificity but displayed reduced efficacy in the presence of serum IgG. Since CD19 CAR is insensitive to serum IgG, we designed various combinatorial CAR constructs in order to maintain the CD19 CAR T cell efficacy, but with IGK CAR target selectivity. The Kz-19BB design, combining CD19 CAR containing a 4-1BB costimulatory domain with an IGK CAR containing a CD3zeta stimulatory domain, maintained the target specificity of IgK CAR and was resistant to the presence of soluble IgG. Our results demonstrate that a combinatorial CAR approach can improve target selectivity and efficacy.
Technology, Geography, and Trade Over Time: The Dynamic Effects of Changing Trade Policy

I study the dynamic effects of changes in trade policy in a multi-country model with firms that make durable and destination-specific investments in exporting capacity. Using Mexican exporter-level data, I show that incumbent exporters to minor trade partners account for a smaller share of bilateral exports than do incumbent exporters to major trade partners, indicating a systematic difference in the persistence of the export decision across destinations. The model is calibrated to capture the positive relationship between exporting persistence and export volume, and predicts that trade liberalizations with minor export destinations deliver higher bilateral export growth than liberalizations with major export destinations. Panel analysis on bilateral exports after free trade agreements is consistent with these predictions, con rming that the model is a useful tool for explaining export behavior. Furthermore, I find that heterogeneity in export churning across destinations is a key driver of aggregate dynamics and welfare gains from changes in trade policy.
Unmet needs from the first diagnosis of cancer until the end of medical treatment: A longitudinal study

This study aimed to examine (1) The courses of Chinese cancer patients' unmet supportive care needs (psychological, physical and daily living, health system and information, patient care and support, and sexual) from the first cancer diagnosis until the end of medical treatment; (2) The predictive role of socio‐demographic and medical characteristics (i.e., age, gender, and cancer stage) in the courses of unmet needs; and (3) The associations of courses of unmet needs with courses of depressive and anxiety symptoms.
The Model System Saccharomyces cerevisiae Versus Emerging Non-Model Yeasts for the Production of Biofuels

Microorganisms are effective platforms for the production of a variety of chemicals including biofuels, commodity chemicals, polymers and other natural products. However, deep cellular understanding is required for improvement of current biofuel cell factories to truly transform the Bioeconomy. Modifications in microbial metabolic pathways and increased resistance to various types of stress caused by the production of these chemicals are crucial in the generation of robust and efficient production hosts. Recent advances in systems and synthetic biology provide new tools for metabolic engineering to design strategies and construct optimal biocatalysts for the sustainable production of desired chemicals, especially in the case of ethanol and fatty acid production. Yeast is an efficient producer of bioethanol and most of the available synthetic biology tools have been developed for the industrial yeast Saccharomyces cerevisiae. Non-conventional yeast systems have several advantageous characteristics that are not easily engineered such as ethanol tolerance, low pH tolerance, thermotolerance, inhibitor tolerance, genetic diversity and so forth. Currently, synthetic biology is still in its initial steps for studies in non-conventional yeasts such as Yarrowia lipolytica, Kluyveromyces marxianus, Issatchenkia orientalis and Pichia pastoris. Therefore, the development and application of advanced synthetic engineering tools must also focus on these underexploited, non-conventional yeast species. Herein, we review the basic synthetic biology tools that can be applied to the standard S. cerevisiae model strain, as well as those that have been developed for non-conventional yeasts. In addition, we will discuss the recent advances employed to develop non-conventional yeast strains that are efficient for the production of a variety of chemicals through the use of metabolic engineering and synthetic biology.
Decoding spoken English from intracortical electrode arrays in dorsal precentral gyrus

Objective. To evaluate the potential of intracortical electrode array signals for brain-computer interfaces (BCIs) to restore lost speech, we measured the performance of decoders trained to discriminate a comprehensive basis set of 39 English phonemes and to synthesize speech sounds via a neural pattern matching method. We decoded neural correlates of spoken-out-loud words in the ‘hand knob’ area of precentral gyrus, a step toward the eventual goal of decoding attempted speech from ventral speech areas in patients who are unable to speak. Approach. Neural and audio data were recorded while two BrainGate2 pilot clinical trial participants, each with two chronically-implanted 96-electrode arrays, spoke 420 different words that broadly sampled English phonemes. Phoneme onsets were identified from audio recordings, and their identities were then classified from neural features consisting of each electrode’s binned action potential counts or high-frequency local field potential power. Speech synthesis was performed using the ‘Brain-to-Speech’ pattern matching method. We also examined two potential confounds specific to decoding overt speech: acoustic contamination of neural signals and systematic differences in labeling different phonemes’ onset times. Main results. A linear decoder achieved up to 29.3% classification accuracy (chance = 6%) across 39 phonemes, while an RNN classifier achieved 33.9% accuracy. Parameter sweeps indicated that performance did not saturate when adding more electrodes or more training data, and that accuracy improved when utilizing time-varying structure in the data. Microphonic contamination and phoneme onset differences modestly increased decoding accuracy, but could be mitigated by acoustic artifact subtraction and using a neural speech onset marker, respectively. Speech synthesis achieved r = 0.523 correlation between true and reconstructed audio. Significance. The ability to decode speech using intracortical electrode array signals from a nontraditional speech area suggests that placing electrode arrays in ventral speech areas is a promising direction for speech BCIs.
Religiosity and Spirituality in the Stages of Recovery From Persistent Mental Disorders

Abstract The impact of religiosity and spirituality (R/S) on mental health and the importance of incorporating R/S in mental health treatment have been previously explored. However, clarification is needed regarding the effects of R/S in the process of recovery from persistent mental disorders (PMDs). This study identifies how different R/S factors correlate with the stages of recovery, while considering individual psychological well-being and perceived social support. Seventy-five individuals who use Madrid's public services for people with PMD completed questionnaires assessing those factors. We found that during the recovery process, R/S correlated with psychological well-being and perceived social support, and that these variables were associated with the five stages of recovery differently. We further identified the importance of gratitude, compassion, inner peace, and connection with life in the recovery process. Overall, our findings highlight the importance of these R/S variables in particular recovery stages for individuals with PMD.
Task Learning Over Multi-Day Recording via Internally Rewarded Reinforcement Learning Based Brain Machine Interfaces

Autonomous brain machine interfaces (BMIs) aim to enable paralyzed people to self-evaluate their movement intention to control external devices. Previous reinforcement learning (RL)-based decoders interpret the mapping between neural activity and movements using the external reward for well-trained subjects, and have not investigated the task learning procedure. The brain has developed a learning mechanism to identify the correct actions that lead to rewards in the new task. This internal guidance can be utilized to replace the external reference to advance BMIs as an autonomous system. In this study, we propose to build an internally rewarded reinforcement learning-based BMI framework using the multi-site recording to demonstrate the autonomous learning ability of the BMI decoder on the new task. We test the model on the neural data collected over multiple days while the rats were learning a new lever discrimination task. The primary motor cortex (M1) and medial prefrontal cortex (mPFC) spikes are interpreted by the proposed RL framework into the discrete lever press actions. The neural activity of the mPFC post the action duration is interpreted as the internal reward information, where a support vector machine is implemented to classify the reward vs. non-reward trials with a high accuracy of 87.5% across subjects. This internal reward is used to replace the external water reward to update the decoder, which is able to adapt to the nonstationary neural activity during subject learning. The multi-cortical recording allows us to take in more cortical recordings as input and uses internal critics to guide the decoder learning. Comparing with the classic decoder using M1 activity as the only input and external guidance, the proposed system with multi-cortical recordings shows a better decoding accuracy. More importantly, our internally rewarded decoder demonstrates the autonomous learning ability on the new task as the decoder successfully addresses the time-variant neural patterns while subjects are learning, and works asymptotically as the subjects’ behavioral learning progresses. It reveals the potential of endowing BMIs with autonomous task learning ability in the RL framework.
The Effect of Frequency of Fresh Pasture Allocation on Pasture Utilisation and the Performance of High Yielding Dairy Cows

Simple Summary Pasture remains a large component of the diet in many dairy systems across temperate regions. However, animal performance in pasture-based systems is often limited due to the lower dry matter intake (DMI) achieved within these systems, meaning animals fail to perform to their genetic potential. Providing a high herbage allowance can improve DMI and subsequently animal performance at pasture, however such methods result in reduced pasture utilisation rates, decreasing the cost-effectiveness of the pasture-based system. Methods that support high levels of animal performance whilst maintaining high pasture utilisation efficiency are required to support efficient and sustainable pasture-based systems. Hence, the aim of this study was to investigate the impact of different frequencies of pasture allocation (12, 24 and 36 h (h)) on pasture utilisation and the performance of high-yielding dairy cows. The results from this study indicated that 36 h allocations best supported the performance of primiparous animals. The 36 h allocations were also associated with significantly higher pasture utilisation efficiency than 12 h allocations during the first study period, but this was not replicated in the second period, where utilisation was similar across all treatments. Abstract Pasture allocation frequency (PAF) can influence pasture availability and grazing behaviour, which subsequently may impact on animal performance. Limited research to-date has investigated grazing management methods to improve the performance of high production dairy cows whilst also achieving high grass utilisation rates. This study evaluated the effect of three different PAF’s (12, 24 and 36 h) on pasture utilisation, the performance of high yielding dairy cows and the interaction with parity. The experiment included two 60-day periods, 90 spring calving dairy cows (27 primiparous animals) in period one and 87 (24 primiparous animals) in period two. The average pre-grazing sward height (11.4 cm) was similar for all treatments in both periods. In period one, pasture utilisation rate was significantly higher (8%) in the 36 h compared to the 12 h treatment. In period two, milk energy output was significantly greater for primiparous animals in the 36 h treatment relative to the other treatments.
Functional Characterization of Chemosensory Protein AmalCSP5 From Apple Buprestid Beetle, Agrilus mali (Coleoptera: Buprestidae)

Abstract In the sensitive and complex chemo-sensation system of insects, chemosensory proteins (CSPs) can facilitate the transfer of chemical information and play important roles for variable behaviors of insects. We cloned the chemosensory protein AmalCSP5 from antennae of the apple buprestid beetle (Agrilus mali Matsumura), a serious invasive pest of wild apple trees. Expression profiling showed that AmalCSP5 was expressed in various tissues, suggesting its significance in multiple physiological activities and behaviors of A. mali. AmalCSP5 was preferentially expressed in female antennae and male abdomens. AmalCSP5 was able to bind a variety of test volatiles, especially alcohols and esters. AmalCSP5 exhibited good binding affinity for all five test secondary compounds (i.e., procyanidin, phlorizin, kaemferol, chlorogenic acid, and rutin), suggesting its preferential binding abilities to nonvolatile host plant secondary metabolites and critical roles in gustatory perception of nonvolatiles. Tyr27 and Ser69 of AmalCSP5 could form hydrogen bonds with hexyl benzoate and hexyl hexanoate, respectively. Procyanidin, the best ligand among all test compounds, could form hydrogen bonds with three amino acid residues (i.e., Arg7, Leu8, and Lys41) of AmalCSP5. Thus, high ligand binding affinity for AmalCSP5 seemed to be dependent mainly on the formation of hydrogen bonds. The putative key amino acid residues of AmalCSP5 can be used as molecular targets for designing and screening new attractants and repellents for A. mali. Our results provide insights into binding interactions of AmalCSP5 with volatile and nonvolatile ligands, and a firm basis for developing eco-friendly management strategies of A. mali.
Long-term Satisfaction with Roux-en-Y Gastric Bypass Surgery

Objective: The aim of this study was to examine change in overall satisfaction with Roux-en-Y gastric bypass (RYGB) surgery over 3 to 7 years post-surgery and identify pre-surgery predictors and post-surgery factors associated with not being satisfied. Background: It is unclear how satisfaction with RYGB surgery changes over time following surgery and factors associated with not being satisfied are not well understood. Methods: Participants of a multicenter prospective cohort study of bariatric surgery were followed annually <7 years. A total of 1423 participants of the 1770 who underwent RYGB had data on satisfaction with surgery (81% female; median age 47 years; median body mass index 46 kg/m2). Results: The percentage of participants who were not satisfied with RYGB surgery significantly increased from 15.4% 3 years post-surgery to 23.0% 7 years post-surgery (P = 0.01). Pre-surgery younger age, lower BMI, higher percent weight loss needed to reach dream weight, poorer physical and mental health, and less social support independently predicted higher risk of not being satisfied with surgery. When examining pre- to post-surgery changes, less post-surgery weight loss, worsening physical and mental health status, less social support, and greater depressive symptomology were associated with higher risk of not being satisfied with surgery. Conclusions: Level of satisfaction with RYGB surgery significantly decreased 3 to 7 years following surgery. Several pre- and post-surgery characteristics were associated with not being satisfied with surgery and provide potentially useful insight into individual patient experiences following RYGB. Knowledge of these characteristics may be useful in communication between surgeons and patients regarding post-surgical expectations and the impact of surgery on patients’ lives.
Regular Leisure-Time Physical Activity is Effective in Boosting Neurotrophic Factors and Alleviating Menopause Symptoms

Background: The study investigated the effects of regular leisure-time physical activity on the parameters of cognitive function (plasma brain-derived neurotrophic factor (BDNF), nerve growth factor (NGF), and cathepsin B) and menopausal symptoms (the climacterium, depression, and cognitive impairment) in obese middle-aged women. Methods: All subjects were middle-aged and obese women (n = 52, % body fat > 30%). The participants were divided into premenopausal (PRM) (n = 18, age = 47.56 ± 6.11 years) and postmenopausal (POM) (n = 34, age = 57.79 ± 5.68 years) groups. The participants completed a survey questionnaire related to depression and the climacterium, as well as cognitive tests. Physical activity was performed for 12 weeks. Blood samples from the forearm vein were analyzed after 12 h of fasting. Blood levels of BDNF, NGF, and cathepsin B were analyzed using an R&D kit. Results: Regular leisure-time physical activity had a positive effect on reducing the percentage of body fat in premenopausal and postmenopausal obese women. In addition, the results of the questionnaire showed that regular exercise had a positive effect on body composition caused by lifestyle change and enhanced psychological stability. The BDNF concentration was significantly lower in postmenopausal than in premenopausal obese women. In addition, regular physical activity significantly increased the cathepsin B and NGF levels in postmenopausal obese women. Conclusions: Continuous leisure-time physical activity improved body composition and neurotrophic factors and alleviated menopausal symptoms in obese Korean women.