Miracle-dz/UniFAR-FTUs huggingface dataset:
Differences in the Magnitude of Representational Momentum Between School-Aged Children and Adults as a Function of Experimental Task

Representational momentum (RM) is the phenomenon that occurs when an object moves and then disappears, and the recalled final position of the object shifts in the direction of its motion. Some previous findings indicate that the magnitude of RM in early childhood is comparable to that in adulthood, whereas other findings suggest that the magnitude of RM is significantly greater in childhood than in adulthood. We examined whether the inconsistencies between previous studies could be explained by differences in the experimental tasks used in these studies. Futterweit and Beilin used a same-different judgment between the position where a moving stimulus disappeared and where a comparison stimulus reappeared (judging task), whereas Hubbard et al. used a task wherein a computer mouse cursor pointed to the position where the moving stimulus disappeared (pointing task). Three age groups (M = 7.4, 10.7, and 22.1 years, respectively) participated in both the judging and pointing tasks in the current study. A multivariate analysis of variance with the magnitudes of RM in each task as dependent variables revealed a significant main effect for age. A one-way analysis of variance performed for each of the judging and pointing tasks also indicated a significant main effect of age. However, post hoc multiple comparisons detected a significant age effect only for the pointing task. The inconsistency between the judging and pointing tasks was discussed related to the distinct effect size of the age difference in the magnitude of RM between the two tasks.
Distinct Lotus japonicus Transcriptomic Responses to a Spectrum of Bacteria Ranging From Symbiotic to Pathogenic

Lotus japonicus is a well-studied nodulating legume and a model organism for the investigation of plant-microbe interactions. The majority of legume transcriptome studies have focused on interactions with compatible symbionts, whereas responses to non-adapted rhizobia and pathogenic bacteria have not been well-characterized. In this study, we first characterized the transcriptomic response of L. japonicus to its compatible symbiont, Mesorhizobium loti R7A, through RNA-seq analysis of various plant tissues. Early symbiotic signaling was largely Nod factor-dependent and enhanced within root hairs, and we observed large-scale transcriptional reprogramming in nodule primordia and mature nitrogen-fixing nodules. We then characterized root transcriptional responses to a spectrum of L. japonicus interacting bacteria ranging from semi-compatible symbionts to pathogens. M. loti R7A and the semi-compatible strain Sinorhizobium fredii HH103 showed remarkably similar responses, allowing us to identify a small number of genes potentially involved in differentiating between fully and semi-compatible symbionts. The incompatible symbiont Bradyrhizobium elkanii USDA61 induced a more attenuated response, but the weakest response was observed for the foliar pathogen Pseudomonas syringae pv. tomato DC3000, where the affected genes also responded to other tested bacteria, pointing to a small set of common bacterial response genes. In contrast, the root pathogen Ralstonia solanacearum JS763 induced a pronounced and distinct transcriptomic pathogen response, which we compared to the results of the other treatments. This comparative analysis did not support the concept that an early defense-like response is generally evoked by compatible rhizobia during establishment of symbiosis.
The use of biomarkers as a tool for novel psoriatic disease drug discovery

ABSTRACT Introduction: Psoriatic disease is a relatively new term which encompasses psoriatic arthritis, psoriasis, and associated comorbidities. In this heterogeneous condition, the study of biomarkers is necessary to direct best therapy. Resulting in significant disability and socioeconomic burden, recent recommendations stress the need for tight control in psoriatic disease. Areas covered: The authors outline recent advances in the understanding of psoriatic disease pathogenesis which has highlighted multiple biomarkers that have been pursued as drug targets with varying degrees of success. Current drugs targeting biomarkers and therapies in development are evaluated. The methods of biomarker discovery through genomics, transcriptomics, proteomics, metabolomics, and study of the microbiome are also discussed. Expert opinion: Targeting biomarkers for therapeutic benefit appears to a promising field with multiple success stories, notably those associated with signaling through T-helper-17 cells. The use of genomics, transcriptomics, proteomics, and more recently metabolomics will help individualize targeted biomarker therapies, assist in monitoring therapeutic success, and ultimately yield novel therapeutic targets. Advances in the development of novel biologic molecules targeting more than one cytokine may offer additional gains in therapeutic response.
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study

Several recent papers investigate Active Learning (AL) for mitigating the data dependence of deep learning for natural language processing. However, the applicability of AL to real-world problems remains an open question. While in supervised learning, practitioners can try many different methods, evaluating each against a validation set before selecting a model, AL affords no such luxury. Over the course of one AL run, an agent annotates its dataset exhausting its labeling budget. Thus, given a new task, we have no opportunity to compare models and acquisition functions. This paper provides a large-scale empirical study of deep active learning, addressing multiple tasks and, for each, multiple datasets, multiple models, and a full suite of acquisition functions. We find that across all settings, Bayesian active learning by disagreement, using uncertainty estimates provided either by Dropout or Bayes-by-Backprop significantly improves over i.i. d. baselines and usually outperforms classic uncertainty sampling.
Cardioprotective effect of metformin against doxorubicin cardiotoxicity in rats

Objective: The clinical use of doxorubicin, which is a strong antineoplastic agent, is limited due to its cardiotoxic side effects. Metformin is a drug with antihyperglycemic effects, and it has been shown to have a cardioprotective effect on left ventricular function in experimental animal models of myocardial ischemia. The present study investigated the cardioprotective effect of metformin in rats with doxorubicin cardiotoxicity. Methods: Wistar albino rats were used in the study. Forty male, 10-week-old Wistar albino rats were randomly divided four groups. The control group rats were intraperitoneally administered saline solution twice a week, four doses in total. The doxorubicin group rats received doxorubicin (4 mg/kg, twice a week, cumulative dose: 16 mg/kg) intraperitoneally. The metformin group rats received metformin (250 mg/kg/day, every day for 14 days) via gavage. The doxorubicin + metformin group rats received doxorubicin and metformin at the same dose. Left ventricular functions were evaluated by using M-mode echocardiography one day after the last dose of doxorubicin. Heart tissue samples were histopathologically examined. Cardiomyocyte apoptosis was detected using in situ terminal deoxynucleotide transferase assay (TUNEL). Serum brain natriuretic peptide and C-type natriuretic peptide levels were measured. Catalase, superoxide dismutase, glutathione peroxidase, and tumor necrosis factor alpha levels were analyzed in the heart tissue. The assumptions of equality of variances and normal distribution were checked for all variables (Shapiro-Wilk test and Q-Q graphics). To identify intergroup differences, one-way variant analysis or the Kruskal-Wallis test was used. A p<0.05 value was accepted as statistically significant. Results: Our results showed that doxorubicin treatment caused significant deterioration in left ventricular functions by echocardiography, histological heart tissue damage, and increase in cardiomyocyte apoptosis. Doxorubicin + metformin group showed protection in left ventricular function, elimination of histopathologic change, and reduced of cardiomyocyte apoptosis. Conclusion: The present study provided evidence that metformin has cardioprotective effects against doxorubicin cardiotoxicity.
Constructing Desired Vertical Component Distribution Within a PBDB-T:ITIC-M Photoactive Layer via Fine-Tuning the Surface Free Energy of a Titanium Chelate Cathode Buffer Layer

Rationally controlling the vertical component distribution within a photoactive layer is crucial for efficient polymer solar cells (PSCs). Herein, fine-tuning the surface free energy (SFE) of the titanium(IV) oxide bis(2,4-pentanedionate) (TOPD) cathode buffer layer is proposed to achieve a desired perpendicular component distribution for the PBDB-T:ITIC-M photoactive layer. The Owens-Wendt method is adopted to precisely calculate the SFE of TOPD film jointly based on the water contact angle and the diiodomethane contact angle. We find that the SFE of TOPD film increases as the annealing temperature rises, and the subtle SFE change causes the profound vertical component distribution within the bulk region of PBDB-T:ITIC-M. The results of secondary-ion mass spectroscopy visibly demonstrate that the TOPD film with an SFE of 48.71 mJ/cm2, which is very close to that of the ITIC film (43.98 mJ/cm2), tends to form desired vertical component distribution. Consequently, compared with conventional bulk heterojunction devices, the power conversion efficiency increases from 9.00 to 10.20% benefiting from the short circuit current density increase from 14.76 to 16.88 mA/cm2. Our findings confirm that the SFE adjustment is an effective way of constructing the desired vertical component distribution and therefore achieving high-efficiency PSCs.
Systematic Reviews and Meta-analyses in Transplantation: Challenges and Pitfalls?

Abstract Decision making in transplantation is complex, dynamic, and often made under the context of uncertainties. In the case of diagnostic uncertainties, symptoms can be indistinct, with overlap between many different conditions. Even if the correct diagnoses are known, treatment strategies for the same condition may vary and are largely dependent on clinicians' preference and personal experiences. Systematic reviews and meta-analyses challenge the conventional role of the experts and their perceptions and rely, instead, on the best available evidence to guide clinical decision making. Through careful searching and closely examining, appraising, and synthesizing all available evidence, systematic reviews and meta-analyses provide the necessary and relevant information to better inform healthcare management and policy making by highlighting evidence that is pertinent to decisions. This commentary provides an overview of the concepts and methods used in systematic review, highlighting the potential capability of these methods in transplantation and how they may facilitate clinical decision making in transplantation.
Integrative Bioinformatics Analysis Reveals Potential Long Non-Coding RNA Biomarkers and Analysis of Function in Non-Smoking Females with Lung Cancer

Background Lung cancer is the most lethal cancer worldwide. The aim of this study was to identify the tumor-related lncRNAs and explore their functions in female non-smokers with lung cancer. Material/Methods The gene expression microarray datasets GSE19804, GSE31210, and GSE31548 were downloaded from the Gene Expression Omnibus database. The differentially-expressed lncRNAs between non-smoking female lung cancer samples and non-tumor lung tissues were identified using GEO2R. Results In total, 25, 40, and 15 differentially-expressed lncRNAs were obtained from GSE19804, GSE31210, and GSE31548 datasets (|logFC| >1, adj. P<0.05), respectively. Eight lncRNAs were screened out in all 3 datasets. Of these, 5 lncRNAs were up-regulated and 3 lncRNAs were down-regulated in lung cancer tissues compared to non-tumor lung tissues. Then, the target miRNAs of aberrantly expressed lncRNAs and target mRNAs corresponding to miRNAs were predicted. Subsequently, the ceRNA network with 8 key lncRNAs, 20 miRNAs, and 38 mRNAs were constructed. Functional and pathway enrichment analysis showed these target genes were mainly enriched in biological processes associated with protein binding, nucleus, metal ion binding, regulation of transcription from RNA polymerase II promoter, nucleic acid binding, cell differentiation, microRNAs in cancer, and the hippo signaling pathway. Survival analysis of these lncRNAs revealed that low LINC00968 (P=0.0067) and TBX5-AS1 (P=0.0028) expression were associated with unfavorable prognosis in never-smoking female lung cancer patients. Conclusions The present study promotes understanding of the molecular mechanism of the pathogenesis of non-smoking female lung cancer and provides potential biomarkers for diagnosis and treatment.
Does Melatonin and Melatonin Agonists Improve the Metabolic Side Effects of Atypical Antipsychotics?: A Systematic Review and Meta-analysis of Randomized Controlled Trials

Atypical antipsychotics (AAPs) are increasingly used for the treatment of psychotic disorders but are known to be associated with metabolic abnormalities. This study is a systematic review and meta-analysis of randomized controlled trials (RCTs) studying the effectiveness of melatonin for the amelioration of AAP-induced metabolic syndrome. The MEDLINE (accessed via PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), ClinicalTrials, PsycINFO, LILACS, CINAHL, and OpenGrey databases were searched for RCTs without language restrictions. Inclusion criteria were randomized, double-blind clinical trials comparing melatonin or melatonin agonists with placebo for the amelioration of AAP-induced effects at any age with selected components of metabolic syndrome as outcome measures. Two reviewers independently selected articles and assessed quality using Cochrane risk of bias and concealment tools. Of 53 records, five RCTs were eligible for the systematic review and three for the meta-analysis. The meta-analyses showed no statistically significant difference in any anthropometric or metabolic variable considered. Analysis according to psychiatric diagnosis from one RCT showed significant decreases in diastolic blood pressure (5.5 vs. −5.7 mmHg for the placebo and melatonin groups, respectively; p=0.001), fat mass (2.7 vs. 0.2 kg, respectively; p=0.032), and triglycerides (D) (50.1 vs. −20 mg/dl, respectively; p=0.08) in the bipolar group but not the schizophrenia group. Although limited to five RCTs with small sample sizes, evidence from RCT indicates that melatonin improves AAP-induced metabolic syndrome. This beneficial effect seems more significant in patients with bipolar disorder than those with schizophrenia. Further RCTs are needed to definitively establish the potential ameliorative effect of melatonin and to justify its efficacy as an add-on therapy to curtail AAP-induced metabolic syndrome.
Alcohol consumption in adolescence is associated with a lower risk of multiple sclerosis in a Danish cohort

Background and objective: Due to the possible existence of a vulnerable period of multiple sclerosis (MS) susceptibility in adolescence and because Danish teenagers have a high alcohol consumption, we investigated the association between alcohol consumption at ages 15–19 and the risk of developing MS. Methods: A total of 1717 patients with MS and 4685 healthy blood donors filled in a comprehensive environmental and lifestyle questionnaire. Data were analysed by logistic regression models and adjusted for selected confounders. Results: We found an inverse association between alcohol consumption in adolescence and risk of developing MS in both women (p < 0.001) and men (p = 0.012). Women with low alcohol consumption had an odds ratio (OR) of 0.56 (95% confidence interval (CI): 0.47–0.66) compared with non-drinking women. The ORs were similar for women with moderate (OR = 0.49, 95% CI: 0.38–0.62) and high consumption (OR = 0.57, 95% CI: 0.38–0.84). Men with low alcohol consumption had an OR of 0.69 (95% CI: 0.53–0.89) compared with non-drinking men but no decreased risk was found for men with moderate and high consumption. Conclusion: Alcohol consumption in adolescence was associated with lower risk of developing MS among both sexes.
Diverse Bacteria Utilize Alginate Within the Microbiome of the Giant Kelp Macrocystis pyrifera

Bacteria are integral to marine carbon cycling. They transfer organic carbon to higher trophic levels and remineralise it into inorganic forms. Kelp forests are among the most productive ecosystems within the global oceans, yet the diversity and metabolic capacity of bacteria that transform kelp carbon is poorly understood. Here, we use 16S amplicon and metagenomic shotgun sequencing to survey bacterial communities associated with the surfaces of the giant kelp Macrocystis pyrifera and assess the capacity of these bacteria for carbohydrate metabolism. We find that Macrocystis-associated communities are distinct from the water column, and that they become more diverse and shift in composition with blade depth, which is a proxy for tissue age. These patterns are also observed in metagenomic functional profiles, though the broader functional groups—carbohydrate active enzyme families—are largely consistent across samples and depths. Additionally, we assayed more than 250 isolates cultured from Macrocystis blades and the surrounding water column for the ability to utilize alginate, the primary polysaccharide in Macrocystis tissue. The majority of cultured bacteria (66%) demonstrated this capacity; we find that alginate utilization is patchily distributed across diverse genera in the Bacteroidetes and Proteobacteria, yet can also vary between isolates with identical 16S rRNA sequences. The genes encoding enzymes involved in alginate metabolism were detected in metagenomic data across taxonomically diverse bacterial communities, further indicating this capacity is likely widespread amongst bacteria in kelp forests. Overall, the M. pyrifera epibiota shifts across a depth gradient, demonstrating a connection between bacterial assemblage and host tissue state.
Examining the Factor Structure of the Self-Compassion Scale in 20 Diverse Samples: Support for Use of a Total Score and Six Subscale Scores

This study examined the factor structure of the Self-Compassion Scale (SCS) using secondary data drawn from 20 samples (N = 11,685)—7 English and 13 non-English—including 10 community, 6 student, 1 mixed community/student, 1 meditator, and 2 clinical samples. Self-compassion is theorized to represent a system with 6 constituent components: self-kindness, common humanity, mindfulness and reduced self-judgment, isolation and overidentification. There has been controversy as to whether a total score on the SCS or if separate scores representing compassionate versus uncompassionate self-responding should be used. The current study examined the factor structure of the SCS using confirmatory factor analyses (CFA) and Exploratory Structural Equation Modeling (ESEM) to examine 5 distinct models: 1-factor, 2-factor correlated, 6-factor correlated, single-bifactor (1 general self-compassion factor and 6 group factors), and 2-bifactor models (2 correlated general factors each with 3 group factors representing compassionate or uncompassionate self-responding). Results indicated that a 1- and 2-factor solution to the SCS had inadequate fit in every sample examined using both CFA and ESEM, whereas fit was excellent using ESEM for the 6-factor correlated, single-bifactor and correlated 2-bifactor models. However, factor loadings for the correlated 2-bifactor models indicated that 2 separate factors were not well specified. A general factor explained 95% of the reliable item variance in the single-bifactor model. Results support use of the SCS to examine 6 subscale scores (representing the constituent components of self-compassion) or a total score (representing overall self-compassion), but not separate scores representing compassionate and uncompassionate self-responding.
Dual-Edged Character of Quorum Sensing Signaling Molecules in Microbial Extracellular Electron Transfer

Quorum sensing (QS) is a central mechanism for regulating bacterial social networks in biofilm via the production of diffusible signal molecules (autoinducers). In this work, we assess the contribution of QS autoinducers to microbial extracellular electron transfer (EET) by Pseudomonas aeruginosa strain PAO1 and three mutants pure culture-inoculated in microbial electrolysis cells (MECs) and microbial fuel cells (MFCs). MECs inoculated with different P. aeruginosa strains showed a difference in current generation. All MFCs reached a reproducible cycle of current generation, and PQS-deficient pqsA mutant inoculated-MFCs obtained a much higher current generation than pqsL mutant inoculated-MFCs which overproduced PQS. lasIrhlI-inoculated MFCs produced a lower power output than others, as the strain was deficient in rhl and las. Exogenous N-butanoyl-l-homoserine lactone could remedy the electricity production by lasIrhlI mutants to a level similar to wild-type strains while signaling molecules had little effect on wild-type bacteria in MFCs. Meanwhile, experiments with the wild-type and pqsA, pqsL mutants indicated that the overexpression of PQS signaling molecules made no significant contribution to EET. QS signaling molecules therefore have dual-edged effects on microbial EET. These findings will provide favorable suggestions on the regulation of EET, but detailed QS regulatory mechanisms for extracellular electron transfer in pure- and mixed-cultures are yet to be elucidated.
Effect of continuous versus intermittent orthodontic forces on root resorption: A microcomputed tomography study.

OBJECTIVES: To compare the extent of root resorption and the amount of tooth movement between continuous orthodontic force and intermittent orthodontic force that was activated in a similar way to a 4-week orthodontic adjustment period. MATERIALS AND METHODS: Twenty-five patients who required the extraction of upper first premolars were recruited in this study. A buccally directed continuous force of 150 g was applied to the upper first premolar on one side for 15 weeks. A buccally directed intermittent force (28 days on, 7 days off) of the same magnitude was applied to the contralateral first premolar. The teeth were extracted at the end of the experimental period and processed for volumetric evaluations of resorption craters. The degree of tooth movement and rotation were measured on the study models. RESULTS: Continuous force application displayed significantly higher root resorption volume than the intermittent force application ( P < .05), particularly on the buccal and lingual surfaces (P < .05) and the middle third of the root ( P < .01). There was more tipping and rotational movement in the continuous force group. CONCLUSIONS: In a 4-week orthodontic adjustment period, intermittent force significantly reduced the amount of root resorption compared with continuous force. Although there was less degree of tooth movement with intermittent force, unwanted rotational movement was avoided. This is crucial in patients who are predisposed to orthodontically induced inflammatory root resorption, and the use of this intermittent regimen should be considered.