Miracle-dz/UniFAR-FTUs huggingface dataset:
Aging of the immune system causes reductions in muscle stem cell populations, promotes their shift to a fibrogenic phenotype, and modulates sarcopenia

Aging is associated with diminished muscle mass, reductions in muscle stem cell functions, and increased muscle fibrosis. The immune system, especially macrophages, can have important roles in modulating muscle growth and regeneration, suggesting that the immune system may also have significant influences on muscle aging. Moreover, the immune system experiences changes in function during senescence, suggesting that regulatory interaction between muscle cells and the immune system may also change during aging. In this study, we performed bone marrow transplantations between age‐mismatched donor and recipient mice to test the influence of the age of the immune system on muscle aging. Transplantation of young bone marrow cells into old recipients prevented sarcopenia and prevented age‐related change in muscle fiber phenotype. Transplantation of old bone marrow cells into young animals reduced satellite cell numbers and promoted satellite cells to switch toward a fibrogenic phenotype. We also demonstrated that conditioned media from young, but not old, bone marrow cells promoted myoblast proliferation in vitro, and we found that factors released by young bone marrow cells were more supportive of myotube differentiation in vitro. Together, our results demonstrate that aging of bone marrow cells promotes the age‐related reduction of satellite cell number and function and contributes to sarcopenia. —Wang, Y. , Wehling‐Henricks, M. , Welc, S. S. , Fisher, A. L. , Zuo, Q. , Tidball, J. G. Aging of the immune system causes reductions in muscle stem cell populations, promotes their shift to a fibrogenic phenotype, and modulates sarcopenia. FASEB J. 33, 1415–1427 (2019). www.fasebj. org
Explanatory models of suicidality among women of Turkish descent in Germany: A focus group study

Women of Turkish descent in Germany show higher rates of suicidal behavior compared to their host populations and men of Turkish descent. This indicates a demand for a better understanding of suicidality in this group. Nine focus groups (N = 61) were conducted to assess explanatory models including patterns of distress, perceived causes, course/consequences of and reactions towards a suicidal crisis, help-seeking behavior, and potential intervention and prevention strategies. All participants were of Turkish descent living in Berlin, Germany. The focus groups included two with professionals such as psychiatrists or psychotherapists, two with Community Mothers, three with women from the community (ages: 18 -34, 35 -49, 50+), and of three suicide attempters (ages: 18 -33, 38 -66). Data were analyzed using the methodology of thematic analysis. Results show that suicide-related behaviors, attitudes, and help-seeking behavior have gender and culture-specific characteristics. Two central themes were identified: the impact of family and community and the impact of German society. Participants stated that they believe that family and community pressures as well as discrimination and lack of acceptance cause social isolation. Fear of stigmatization and dishonoring themselves or their family, as well as shame and self-stigma decrease the likelihood of reaching out for help. Recommended strategies are community and family interventions, promotion of integration and social inclusion, awareness campaigns to destigmatize suicidality and the use of mental health services, empowerment of women, as well as the improvement of cultural sensitivity and competency of services.
What Graphs do International Investors See in the ASEAN Capital Markets?

To remain successful in a world of proliferating business graphs, international investors and other users must be aware of possible graphical misrepresentations. Naïve investors can be easily misled by distorted business graphs and make investments on the basis of their ostensibly computer-generated data. This study examines the relationship between graph distortion measures and firms' financial performance. We manually collected publicly available data from 2015 for 370 companies, across three industry sectors, trading on the stock exchanges of six ASEAN countries—Malaysia, Indonesia, Philippines, Singapore, Thailand and Vietnam. After several rounds of filtering, 3,897 usable graphs were measured for distortion using the relative graph discrepancy index (RGD). The results show that the graphs produced by fast-growing, developing markets, such as the Philippines and Thailand, have high average distortion scores, whereas those produced by mature markets, such as Singapore, have low graph distortion scores. However, the relationship between graph distortion scores and firm performance is inconclusive. Findings from the archival data were triangulated with perceptual data collected through an online survey of 38 MBA students. The archival data appear to indicate a negative relationship, whereas the perceptual data suggest a positive one.
Point-of-use water treatment improves recovery rates among children with severe acute malnutrition in Pakistan: results from a site-randomized trial

Abstract Objective To evaluate effectiveness of point-of-use water treatment in improving treatment of children affected by severe acute malnutrition (SAM). Design Programme sites were randomized to one of four intervention arms: (i) standard SAM treatment; (ii) SAM treatment plus flocculent/disinfectant water treatment; (iii) SAM treatment plus chlorine disinfectant; or (iv) SAM treatment plus ceramic water filter. Outcome measures were calculated based on participant status upon exit or after 120d of enrolment, whichever came first. Child anthropometric data were collected during weekly monitoring at programme sites. Child caregivers were interviewed at enrolment and exit. Use of water treatment products was assessed in a home visit 4–6 weeks after enrolment. Setting Dadu District, Sindh Province, Pakistan. Subjects Children (n 901) aged 6–59 months with SAM and no medical complications. Results Recovery rates were 16·7–22·2 % higher among children receiving water treatment compared with the control group. The adjusted odds of recovery were approximately twice as high for those receiving water treatment compared with controls. Mean length of stay until recovery was 73 (sd 24·6) d and mean rate of weight gain was 4·7 (sd 3·0) g/kg per d. Differences in recovery rate, length of stay and rate of weight gain between intervention groups were not statistically significant. Conclusions Incorporating point-of-use water treatment into outpatient treatment programmes for children with SAM increased nutritional recovery rates. No significant differences in recovery rates were observed between the different intervention groups, indicating that different water treatment approaches were equally effective in improving recovery.
Identification and Classification for the Lactobacillus casei Group

Lactobacillus casei, Lactobacillus paracasei, and Lactobacillus rhamnosus are phenotypically and genotypically closely related, and together comprise the L. casei group. Although the strains of this group are commercially valuable as probiotics, the taxonomic status and nomenclature of the L. casei group have long been contentious because of the difficulties in identifying these three species by using the most frequently used genotypic methodology of 16S rRNA gene sequencing. Long used as the gold standard for species classification, DNA–DNA hybridization is laborious, requires expert skills, and is difficult to use routinely in laboratories. Currently, genome-based comparisons, including average nucleotide identity (ANI) and digital DNA–DNA hybridization (dDDH), are commonly applied to bacterial taxonomy as alternatives to the gold standard method for the demarcating phylogenetic relationships. To establish quick and accurate methods for identifying strains in the L. casei group at the species and subspecies levels, we developed species- and subspecies-specific identification methods based on housekeeping gene sequences and whole-cell matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) spectral pattern analysis. By phylogenetic analysis based on concatenated housekeeping gene sequences (dnaJ, dnaK, mutL, pheS, and yycH), 53 strains were separated into four clusters corresponding to the four species: L. casei, L. paracasei and L. rhamnosus, and Lactobacillus chiayiensis sp. nov. A multiplex minisequencing assay using single nucleotide polymorphism (SNP)-specific primers based on the dnaK gene sequences and species-specific primers based on the mutL gene sequences provided high resolution that enabled the strains at the species level to be identified as L. casei, L. paracasei, and L. rhamnosus. By MALDI-TOF MS analysis coupled with an internal database and ClinProTools software, species- and subspecies-level L. casei group strains were identified based on reliable scores and species- and subspecies-specific MS peaks. The L. paracasei strains were distinguished clearly at the subspecies level based on subspecies-specific MS peaks. This article describes the rapid and accurate methods used for identification and classification of strains in the L. casei group based on housekeeping gene sequences and MALDI-TOF MS analysis as well as the novel speciation of this group including L. chiayiensis sp. nov. and ‘Lactobacillus zeae’ by genome-based methods.
The Photosystem II Repair Cycle Requires FtsH Turnover through the EngA GTPase1[OPEN]

The GTPase EngA mediates the turnover of the chloroplast FtsH protease, which degrades the reaction center protein D1 in a process crucial for the PSII repair cycle. Specific degradation of photodamaged D1, the photosystem II (PSII) reaction center protein, is a crucial step in the PSII repair cycle to maintain photosynthesis activity. Processive proteolysis by the FtsH protease is fundamental to cooperative D1 degradation. Here, we attempted to purify the FtsH complex to elucidate its regulation mechanisms and substrate recognition in Arabidopsis (Arabidopsis thaliana). Unlike previously reported prokaryotic and mitochondrial FtsHs, the Arabidopsis chloroplastic FtsH does not appear to form a megacomplex with prohibition-like proteins but instead accumulates as smaller complexes. The copurified fraction was enriched with a partial PSII intermediate presumably undergoing repair, although its precise properties were not fully clarified. In addition, we copurified a bacteria-type GTPase localized in chloroplasts, EngA, and confirmed its interaction with FtsH by subsequent pull-down and bimolecular fluorescence complementation assays. While the engA mutation is embryo lethal, the transgenic lines overexpressing EngA (EngA-OX) showed leaf variegation reminiscent of the variegated mutant lacking FtsH2. EngA-OX was revealed to accumulate more cleaved D1 fragments and reactive oxygen species than the wild type, indicative of compromised PSII repair. Based on these results and the fact that FtsH becomes more stable in EngA-OX, we propose that EngA negatively regulates FtsH stability. We demonstrate that proper FtsH turnover is crucial for PSII repair in the chloroplasts of Arabidopsis. Consistent with the increased turnover of FtsH under high-light conditions in Chlamydomonas reinhardtii, our findings underline the rapid turnover of not only D1 but also FtsH proteases in the PSII repair cycle.
Influence of lifestyle choices on risks of CYP1B1 polymorphisms for prostate cancer

Cytochrome P450 1B1 (CYP1B1) converts xenobiotics to carcinogens and how lifestyle choices may interact with CYP1B1 polymorphisms and affect prostate cancer risk was assessed. Blood genomic DNA from a Caucasian population was analysed at polymorphic sites of the 5′ untranslated region of CYP1B1 using TaqMan genotyping assays. Overall, drinker status and minor alleles at rs2551188, rs2567206 and rs10175368 were associated with prostate cancer. Linkage was observed between rs2551188, rs2567206, rs2567207 and rs10175368, and the G‐C‐T‐G haplotype (major allele at respective sites) was decreased in cancer. Interestingly when classified by lifestyle factors, no associations of genotypes were found for non‐smokers and non‐drinkers, whereas on the contrary, minor type at rs2567206 and rs10175368 increased and major G‐C‐T‐G decreased risk for cancer among smokers and drinkers. Interestingly, rs2551188, rs2567206 and rs10175368 minor genotypes correlated with increased tissue CYP1B1 as determined by immunohistochemistry. Further, rs10175368 enhanced luciferase activity and mobility shift show stronger binding of nuclear factor for the minor allele. These results demonstrate smoking and alcohol consumption to modify the risks of CYP1B1 polymorphisms for prostate cancer which may be through rs10175368, and this is of importance in understanding their role in the pathogenesis and as a biomarker for this disease.
Annotation Scaffolds for Object Modeling and Manipulation

We present and evaluate an approach for human-in-the-loop specification of shape reconstruction with annotations for basic robot-object interactions. Our method is based on the idea of model annotation: the addition of simple cues to an underlying object model to specify shape and delineate a simple task. The goal is to explore reducing the complexity of CAD-like interfaces so that novice users can quickly recover an object's shape and describe a manipulation task that is then carried out by a robot. The object modeling and interaction annotation capabilities are tested with a user study and compared against results obtained using existing approaches. The approach has been analyzed using a variety of shape comparison, grasping, and manipulation metrics, and tested with the PR2 robot platform, where it was shown to be successful.
The effect of athletic expertise and trait emotional intelligence on decision-making

Abstract The quality of decision and assessment of risk are key determinants of successful sport performance. Athletes differ fundamentally in their decision-making ability according to their athletic expertise level. Moreover, given the influence of emotions on decision-making, it is likely that a trait reflecting emotional functioning, trait emotional intelligence, may also influence decision-making. Therefore, the aim of this research was to investigate the respective contribution of athletic expertise and trait emotional intelligence to non-athletic decision-making. In total, 269 participants aged between 18 and 26 years with a range of athletic experience i.e. none (n = 71), novice (n = 54), amateur (n = 55), elite (n = 45) and super-elite (n = 44), completed the Emotional Intelligence Scale and the Cambridge Gambling Task. Regression modelling indicated a significant positive relationship of athletic expertise and trait emotional intelligence with the quality of decision-making, and a negative relationship with deliberation time and risk-taking. Cognitive skills transfer may explain the higher decision-making scores associated with higher athletic expertise, while individuals with higher trait emotional intelligence may anticipate better the emotional consequences linked with a gambling task, which may help individuals make better decisions and take less risks.
Text-to-image Synthesis via Symmetrical Distillation Networks

Text-to-image synthesis aims to automatically generate images according to text descriptions given by users, which is a highly challenging task. The main issues of text-to-image synthesis lie in two gaps: the heterogeneous and homogeneous gaps. The heterogeneous gap is between the high-level concepts of text descriptions and the pixel-level contents of images, while the homogeneous gap exists between synthetic image distributions and real image distributions. For addressing these problems, we exploit the excellent capability of generic discriminative models (e.g. VGG19), which can guide the training process of a new generative model on multiple levels to bridge the two gaps. The high-level representations can teach the generative model to extract necessary visual information from text descriptions, which can bridge the heterogeneous gap. The mid-level and low-level representations can lead it to learn structures and details of images respectively, which relieves the homogeneous gap. Therefore, we propose Symmetrical Distillation Networks (SDN) composed of a source discriminative model as "teacher" and a target generative model as "student". The target generative model has a symmetrical structure with the source discriminative model, in order to transfer hierarchical knowledge accessibly. Moreover, we decompose the training process into two stages with different distillation paradigms for promoting the performance of the target generative model. Experiments on two widely-used datasets are conducted to verify the effectiveness of our proposed SDN.
Clonal crayfish as biological model: a review on marbled crayfish

Since the mid-twentieth century, numerous vertebrates and invertebrates have been used as model organisms and become indispensable tools for exploring a broad range of biological and ecological processes. Crayfish seem to be adequate models which resulted in their involvement in research. In the two decades since its discovery, ongoing research has confirmed that the marbled crayfish (Procambarus virginalis Lyko, 2017) is an ideal taxon in this regard, especially due to its almost continuous asexual reproduction providing a source of genetically identical offspring. This review provides an overview of the occurrence, biology, ecology, ethology, and human exploitation of marbled crayfish with primary focus on its use as a laboratory model organism as well as potential risks to native biota in case of its introduction. Genetic uniformity, ease of culture, and a broad behaviour repertoire fosters the use of marbled crayfish in epigenetics and developmental biology, as well as physiological, ecotoxicological, and ethological research. Marbled crayfish could be further exploited for basic and applied fields of science such as evolutionary biology and clonal tumour evolution. However, due to its high invasive potential in freshwater environments security measures must be taken to prevent its escape into the wild.
Emotion Recognition Based on Photoplethysmogram and Electroencephalogram

In modern life, emotions affect people in all aspects of their work and life. Long-term emotional problems tend to cause physical and mental problems such as depression. The photoplethysmogram(PPG) and electroencephalogram (EEG) etc are often used for emotion recognition, because the emotional state produces reactions from different biological systems of the human body. This article uses an internationally released emotional classification database called DEAP dataset that contains 32-channel standard EEG signals and 8-channel peripheral physiological signals. To achieve wearable emotion continuous recognition, this paper strives to obtain satisfactory emotion recognition through fewer EEG channels and peripheral physiological signals. Machine learning methods are used to classify arousal and valence that are often used in emotional recognition. The results show that the arousal classification accuracy can achieve 68% and the valence classification accuracy can achieve 66% with 5 channel EEG signal and one channel PPG signal, which can be monitored through a wearable headband.
Ticker: An Adaptive Single-Switch Text Entry Method for Visually Impaired Users

Ticker is a probabilistic stereophonic single-switch text entry method for visually-impaired users with motor disabilities who rely on single-switch scanning systems to communicate. Such scanning systems are sensitive to a variety of noise sources, which are inevitably introduced in practical use of single-switch systems. Ticker uses a novel interaction model based on stereophonic sound coupled with statistical models for robust inference of the user's intended text in the presence of noise. As a consequence of its design, Ticker is resilient to noise and therefore a practical solution for single-switch scanning systems. Ticker's performance is validated using a combination of simulations and empirical user studies.
Development and validation of a Health Policy Model of Type 2 diabetes in Chinese setting.

AIM Due to the difference in epidemiology and outcomes between eastern and western populations with Type 2 diabetes mellitus (T2DM), an important challenge is determining how useful the outcomes from diabetes models based on western populations are for eastern patients. Consequently, the principal aim of this study was to develop and validate a Health Policy Model (Chinese Outcomes Model for T2DM [COMT]) for supporting Chinese medical and health economic studies. METHODS The model is created to simulate a series of important complications of T2DM diabetes based on the latest Risk Equations for Complications of Type 2 Diabetes, which was adjusted by adding the adjustment regulator to the linear predictor within the risk equation. The validity of the model was conducted by using a total of 171 validation outcomes from seven studies in eastern populations and ten studies in western populations. The simulation cohorts in the COMT model were generated by copying each validation study's baseline characteristics. Concordance was tested by assessing the difference between the identity (45°) line and the best-fitting regression of the scatterplots for the predicted versus observed outcomes. RESULTS The slope coefficients of the best-fitting regression line between the predicted and corresponding observed actual outcomes was 0.9631 and the R2 was 0.8701. There were major differences between western and eastern populations. The slope and R2 of predictions were 0.9473 and 0.9272 in the eastern population and 1.0566 and 0.8863 in the western population, which showed more perfect agreement with the observed values in the eastern population than the western populations. The subset of macro-vascular and micro-vascular outcomes in the eastern population showed an identical tendency (the slope coefficient was close to 1), and mortality outcomes showed a slight tendency toward overestimation (the slope coefficient was close to 0.9208). Some degree of underprediction of macro-vascular and micro-vascular end points and overprediction of mortality end point was found in the western population. CONCLUSION The COMT diabetes model simulated the long-term patient outcomes observed in eastern Asian T2DM patients with prediction accuracy. This study supports the COMT as a credible tool for Chinese healthcare decision makers. Further work is necessary to incorporate new local data to improve model validity and credibility.
CARMUS: Towards a General Framework for Continuous Activity Recognition with Missing Values on Smartphones

This paper presents the CARMUS framework for continuous activity recognition with missing values on smartphones. Besides the power and resource constraints discussed in existing work, our framework is proposed to further tackle the critical issue of missing values during data collection. We demonstrate the issue's impact on continuous recognition through a motivating example, and specify two challenges—blackouts and resource constraints-with respect to smartphone-based sensing and processing platforms. To address the challenges, CARMUS provides a novel framework which involves a light-weight admission control unit and a data imputation unit intuited by the daily repeated pattern and temporal smoothness of human activity data. Based on extensive experiments conducted on a real-world data set with 37% of the data missing, we show that the CARMUS framework is effective for achieving an 85.5% recognition accuracy by adopting the state-of-the-art imputation algorithms.