Miracle-dz/UniFAR-FTUs huggingface dataset:
A possible new activator of PI3K‐Huayu Qutan Recipe alleviates mitochondrial apoptosis in obesity rats with acute myocardial infarction

Obesity, which has unknown pathogenesis, can increase the frequency and seriousness of acute myocardial infarction (AMI). This study evaluated effect of Huayu Qutan Recipe (HQR) pretreatment on myocardial apoptosis induced by AMI by regulating mitochondrial function via PI3K/Akt/Bad pathway in rats with obesity. For in vivo experiments, 60 male rats were randomly divided into 6 groups: sham group, AMI group, AMI (obese) group, 4.5, 9.0 and 18.0 g/kg/d HQR groups. The models fed on HQR with different concentrations for 2 weeks before AMI. For in vitro experiments, the cardiomyocytes line (H9c2) was used. Cells were pretreated with palmitic acid (PA) for 24 h, then to build hypoxia model followed by HQR‐containing serum for 24 h. Related indicators were also detected. In vivo, HQR can lessen pathohistological damage and apoptosis after AMI. In addition, HQR improves blood fat levels, cardiac function, inflammatory factor, the balance of oxidation and antioxidation, as well as lessen infarction in rats with obesity after AMI. Meanwhile, HQR can diminish myocardial cell death by improving mitochondrial function via PI3K/Akt/Bad pathway activation. In vitro, HQR inhibited H9c2 cells apoptosis, improved mitochondrial function and activated the PI3K/Akt/Bad pathway, but effects can be peripeteiad by LY294002. Myocardial mitochondrial dysfunction occurs following AMI and can lead to myocardial apoptosis, which can be aggravated by obesity. HQR can relieve myocardial apoptosis by improving mitochondrial function via the PI3K/Akt/Bad pathway in rats with obesity.
Perspective – ultrastructural analyses reflect the effects of sleep and sleep loss on neuronal cell biology

Abstract Recent electron microscopic analyses of neurons in the Drosophila and rodent brain demonstrate that acute or chronic sleep loss can alter the structures of various organelles, including mitochondria, nucleus, and Golgi apparatus. Here, we discuss these findings in the context of biochemical findings from the sleep deprived brain, to clarify how these morphological changes may related to altered organelle function. We discuss how, taken together, the available data suggest that sleep loss (particularly chronic sleep loss) disrupts such fundamental cellular processes as transcription, translation, intracellular transport, and metabolism. A better understanding of these effects will have broad implications for understanding the biological importance of sleep, and the relationship of sleep loss to neuropathology.
5-aminolevulinic acid-mediated photodynamic therapy effectively ameliorates HPV-infected cervical intraepithelial neoplasia.

OBJECTIVE To determine the efficacy and safety of 5-aminolevulinic acid-mediated photodynamic therapy (ALA-PDT) in cervical intraepithelial neoplasia (CIN) infected by HPV. METHODS The clinical data of 115 patients with HPV-Infected CIN admitted to our hospital were selected for this retrospective analysis. They were divided into a control group (n=53) and an experimental group (n=62) according to different treatment methods. Patients in the control group were treated by laser therapy, while those in the experimental group were treated by ALA-PDT. The two cohorts of patients were compared with respect to clinical efficacy, LSIL cure rate, adverse reactions, and complications. Patients were followed up for 3 months and 6 months, and their clinical outcomes were compared based on HPV persistence and residual/recurrent low-grade squamous intraepithelial lesion (LSIL). In the experimental group, the negative conversion rate of HPV and the degree of squamous epithelial lesions in patients with different HPV infection types and various visible degrees of transformation zones (TZs) were compared 6 months after surgery. RESULTS After 6 months of follow-up, the HPV clearance rate and LSIL reversal rate in the control group were 62.3% and 64.2%, respectively, while those in the experimental group were 79.0% and 80.6%, respectively, with significant differences between the two groups (P<0.05). There was no significant difference between the two groups in terms of the LSIL cure rate of lesions located in cervicovaginal region and cervicovaginal region + cervical canal (P>0.05). Neither were there any significant differences in HPV negative conversion rate and LSIL residual/recurrence rate in patients with HPV 16/18 and non-HPV 16/18 between the control group and the experimental group (P>0.05). However, the HPV negative conversion rate in partially visible TZs was lower than that in completely visible TZs, and the LSIL residual/recurrence rate in the completely visible TZs in the control group was higher than that in the experimental group (P<0.05). The incidence of adverse reactions was not significantly different between the two groups (P>0.05), but the incidence of complications in the control group was higher than that in the experimental group (P<0.05). Neither the experimental group nor the control group had any cases of pathologic escalation to high-grade squamous intraepithelial lesion (HSIL). CONCLUSION ALA-PDT can effectively treat HPV-infected CIN and promote HPV clearance.
Role of RNA modifications in carcinogenesis and carcinogen damage response

The field of epitranscriptomics encompasses the study of post‐transcriptional RNA modifications and their regulatory enzymes. Among the numerous RNA modifications, N6‐methyladenosine (m6A) has been identified as the most common internal modification of messenger RNA (mRNA). Although m6A modifications were first discovered in the 1970s, advances in technology have revived interest in this field, driving an abundance of research into the role of RNA modifications in various biological processes, including cancer. As analogs to epigenetic modifications, RNA modifications also play an important role in carcinogenesis by regulating gene expression post‐transcriptionally. A growing body of evidence suggests that carcinogens can modulate RNA modifications to alter the expression of oncogenes or tumor suppressors during cellular transformation. Additionally, the expression and activity of the enzymes that regulate RNA modifications can be dysregulated and contribute to carcinogenesis, making these enzymes promising targets of drug discovery. Here we summarize the roles of RNA modifications during carcinogenesis induced by exposure to various environmental carcinogens, with a main focus on the roles of the most widely studied m6A mRNA methylation.
Hybrid enrichment of adaptive variation revealed by genotype–environment associations in montane sedges

The role of hybridization in diversification is complex and may result in many possible outcomes. Not only can hybridization produce new lineages, but those lineages may contain unique combinations of adaptive genetic variation derived from parental taxa that allow hybrid‐origin lineages to occupy unique environmental space relative to one (or both) parent(s). We document such a case of hybridization between two sedge species, Carex nova and Carex nelsonii (Cyperaceae), that occupy partially overlapping environmental space in the southern Rocky Mountains, USA. In the region hypothesized to be the origin of the hybrid lineage, one parental taxon (C. nelsonii) is at the edge of its environmental tolerance. Hybrid‐origin individuals display mixed ancestry between the parental taxa—of nearly 7000 unlinked loci sampled, almost 30% showed evidence of excess ancestry from one parental lineage—approximately half displayed a genomic background skewed towards one parent, and half skewed towards the other. To test whether excess ancestry loci may have conferred an adaptive advantage to the hybrid‐origin lineage, we conducted genotype–environment association analyses on different combinations of loci—with and without excess ancestry—and with multiple contrasts between the hybrids and parental taxa. Loci with skewed ancestry showed significant environmental associations distinguishing the hybrid lineage from one parent (C. nelsonii), whereas loci with relatively equal representation of parental ancestries showed no such environmental associations. Moreover, the overwhelming majority of candidate adaptive loci with respect to environmental gradients also had excess ancestry from a parental lineage, implying these loci have facilitated the persistence of the hybrid lineage in an environment unsuitable to at least one parent.
Quantitative Analysis of Efficiency Improvement of a Propulsion Drive by Using SiC Devices: A Case of Study

One of the emerging research topics in the propulsion drive of the electric vehicles is the improvement in the efficiency of its component parts, namely, the propulsion motor and the associated inverter. This paper is focused on the efficiency of the inverter and analyzes the improvement that follows from the replacement of the silicon (Si) IGBT devices with silicon carbide (SiC) MOSFETs. To this end, the paper starts by deriving the voltage-current solicitations of the inverter over the working torque-speed plane of the propulsion motor. Then, a proper model of the power losses in the inverter over a supply period of the motor is formulated for the two types of device, including the integrated freewheeling diode. By putting together the voltage-current solicitations and the device power losses, the efficiency maps of the Si IGBT and SiC MOSFET inverters are calculated and compared over the torque-speed plane. The results for the Si IGBT inverter are supported by measurements executed on a marketed C-segment compact electric car, while the SiC MOSFET loss model is validated by an on-purpose built test bench. Finally, the overall efficiency of the propulsion drive is calculated by accounting for the motor efficiency. Main outcomes of the paper is a quantitative evaluation of both the improvement in the efficiency achievable with the SiC MOSFETs and the ensuing increase in the electric car range.
Prediction of height using ulna length in African‐Caribbean children

Standing height is an essential anthropometric measurement in pediatrics. In children unable to stand upright, measurement of ulna to predict standing height is recommended, but height prediction equations based on the ulna have not been established in children of African ancestry. We hypothesized that such equations would result in lower predicted height compared to using equations derived from non‐African children. We measured prospectively standing height and both ulna in 358 African‐Caribbean children without bone deformity or muscle disease, referred to two pulmonary function test laboratories. Interobserver variability was low for standing height (n = 54) and ulna measurement (n = 51) (mean biases [95%CI]: −0.02 [−0.99; 0.95] and 0.05 [−0.91; 1.01] cm, respectively), as well as inter‐ulna variability (n = 352; mean bias 0.03 95%CI [−0.66; 0.73] cm). We used the mean value of 247 bilateral ulna measurements to calculate prediction equations using a generalized linear model including age, sex, ulna length, and geographic origin group, the latter showing no influence on the model. In the validation population of 107 children, the median difference [inter‐quartile range] between standing height and ulna‐predicted height was −0.4 [−2.7; 1.0] cm. Of 260 reliable baseline spirometry, there was a strong concordance between bronchial obstruction diagnosis established using standing height or ulna‐predicted height (kappa coefficient: 0.85 [0.77; 0.94]) with only 11 (4.3%) children misclassified. The ulna predicted height calculated from African‐Caribbean prediction equations resulted in a smaller height than the height calculated using equations derived from non‐African children.
Integration of Face-to-Face Screening With Real-time Machine Learning to Predict Risk of Suicide Among Adults

Key Points Question Does prediction of suicide risk improve when combining face-to-face screening with electronic health record–based machine learning models? Findings In this cohort study of 120 398 adult patient encounters, an ensemble learning approach combined suicide risk predictions from the Columbia Suicide Severity Rating Scale and a real-time machine learning model. Combined models outperformed either model alone for risks of suicide attempt and suicidal ideation across a variety of time periods. Meaning These findings suggest that health care systems should attempt to leverage the independent, complementary strengths of traditional clinician assessment and automated machine learning to improve suicide risk detection.
Metacognition and mentalizing are associated with distinct neural representations of decision uncertainty

Metacognition and mentalizing are both associated with meta-level mental state representations. Conventionally, metacognition refers to monitoring one’s own cognitive processes, while mentalizing refers to monitoring others’ cognitive processes. However, this self-other dichotomy is insufficient to delineate the 2 high-level mental processes. We here used functional magnetic resonance imaging (fMRI) to systematically investigate the neural representations of different levels of decision uncertainty in monitoring different targets (the current self, the past self [PS], and others) performing a perceptual decision-making task. Our results reveal diverse formats of internal mental state representations of decision uncertainty in mentalizing, separate from the associations with external cue information. External cue information was commonly represented in the right inferior parietal lobe (IPL) across the mentalizing tasks. However, the internal mental states of decision uncertainty attributed to others were uniquely represented in the dorsomedial prefrontal cortex (dmPFC), rather than the temporoparietal junction (TPJ) that also represented the object-level mental states of decision inaccuracy attributed to others. Further, the object-level and meta-level mental states of decision uncertainty, when attributed to the PS, were represented in the precuneus and the lateral frontopolar cortex (lFPC), respectively. In contrast, the dorsal anterior cingulate cortex (dACC) represented currently experienced decision uncertainty in metacognition, and also uncertainty about the estimated decision uncertainty (estimate uncertainty), but not the estimated decision uncertainty per se in mentalizing. Hence, our findings identify neural signatures to clearly delineate metacognition and mentalizing and further imply distinct neural computations on internal mental states of decision uncertainty during metacognition and mentalizing.
rRNA operon multiplicity as a bacterial genome stability insurance policy

Abstract Quick growth restart after upon encountering favourable environmental conditions is a major fitness contributor in natural environment. It is widely assumed that the time required to restart growth after nutritional upshift is determined by how long it takes for cells to synthesize enough ribosomes to produce the proteins required to reinitiate growth. Here we show that a reduction in the capacity to synthesize ribosomes by reducing number of ribosomal RNA (rRNA) operons (rrn) causes a longer transition from stationary phase to growth of Escherichia coli primarily due to high mortality rates. Cell death results from DNA replication blockage and massive DNA breakage at the sites of the remaining rrn operons that become overloaded with RNA polymerases (RNAPs). Mortality rates and growth restart duration can be reduced by preventing R-loop formation and improving DNA repair capacity. The same molecular mechanisms determine the duration of the recovery phase after ribosome-damaging stresses, such as antibiotics, exposure to bile salts or high temperature. Our study therefore suggests that a major function of rrn operon multiplicity is to ensure that individual rrn operons are not saturated by RNAPs, which can result in catastrophic chromosome replication failure and cell death during adaptation to environmental fluctuations.
Developing Reporting Guidelines for Studies of HIV Drug Resistance Prevalence: Protocol for a Mixed Methods Study

Background HIV drug resistance is a global health problem that limits the effectiveness of antiretroviral therapy. Adequate surveillance of HIV drug resistance is challenged by heterogenous and inadequate data reporting, which compromises the accuracy, interpretation, and usability of prevalence estimates. Previous research has found that the quality of reporting in studies of HIV drug resistance prevalence is low, and thus better guidance is needed to ensure complete and uniform reporting. Objective This paper contributes to the process of developing reporting guidelines for prevalence studies of HIV drug resistance by reporting the methodology used in creating a reporting item checklist and generating key insights on items that are important to report. Methods We will conduct a sequential explanatory mixed methods study among authors and users of studies of HIV drug resistance. The two-phase design will include a cross-sectional electronic survey (quantitative phase) followed by a focus group discussion (qualitative phase). Survey participants will rate the essentiality of various reporting items. This data will be analyzed using content validity ratios to determine the items that will be retained for focus group discussions. Participants in these discussions will revise the items and any additionally suggested items and settle on a complete reporting item checklist. We will also conduct a thematic analysis of the group discussions to identify emergent themes regarding the agreement process. Results As of November 2021, data collection for both phases of the study is complete. In July 2021, 51 participants had provided informed consent and completed the electronic survey. In October 2021, focus group discussions were held. Nine participants in total participated in two virtual focus group discussions. As of May 2022, data are being analyzed. Conclusions This study supports the development of a reporting checklist for studies of HIV drug resistance by achieving agreement among experts on what items should be reported in these studies. The results of this work will be refined and elaborated on by a writing committee of HIV drug resistance experts and external reviewers to develop finalized reporting guidelines. International Registered Report Identifier (IRRID) DERR1-10.2196/35969
Alternative splicing as a key player in the fine‐tuning of the immunity response in Arabidopsis

Abstract Plants, like animals, are constantly exposed to abiotic and biotic stresses, which often inhibit plant growth and development, and cause tissue damage, disease, and even plant death. Efficient and timely response to stress requires appropriate co‐ and posttranscriptional reprogramming of gene expression. Alternative pre‐mRNA splicing provides an important layer of this regulation by controlling the level of factors involved in stress response and generating additional protein isoforms with specific features. Recent high‐throughput studies have revealed that several defence genes undergo alternative splicing that is often affected by pathogen infection. Despite extensive work, the exact mechanisms underlying these relationships are still unclear, but the contribution of alternative protein isoforms to the defence response and the role of regulatory factors, including components of the splicing machinery, have been established. Modulation of gene expression in response to stress includes alternative splicing, chromatin remodelling, histone modifications, and nucleosome occupancy. How these processes affect plant immunity is mostly unknown, but these facets open new regulatory possibilities. Here we provide an overview of the current state of knowledge and recent findings regarding the growing importance of alternative splicing in plant response to biotic stress.
Taking Stock and Moving Forward: A Personalized Perspective on Mixed Emotions

Research on mixed emotions is flourishing but fractured. Several psychological subfields are working in parallel and separately from other disciplines also studying mixed emotions, which has led to a disorganized literature. In this article, we provide an overview of the literature on mixed emotions and discuss factors contributing to the lack of integration within and between fields. We present an organizing framework for the literature of mixed emotions on the basis of two distinct goals: solving the bipolar–bivariate debate and understanding the subjective experience of mixed emotions. We also present a personalized perspective that can be used when studying the subjective experience of mixed emotions. We emphasize the importance of assessing both state and trait emotions (e.g., momentary emotions, general levels of affect) alongside state and trait context (e.g., physical location, culture). We discuss three methodological approaches that we believe will be valuable in building a new mixed-emotions literature—inductive research methods, idiographic models of emotional experiences, and empirical assessment of emotion-eliciting contexts. We include recommendations throughout on applying these methods to research on mixed emotions, and we conclude with avenues for future interdisciplinary research. We hope that this perspective will foster research that results in the organized accumulation of knowledge about mixed emotions.
Conditional catheter‐related thrombosis free probability and risk‐adapted choices of catheter for lung cancer

Current predictive tools assess catheter‐related thrombosis (CRT) in patients with lung cancer in a static manner at a single time point of catheterization. The subsequent hazard changes over time are unknown. The conditional catheter‐related thrombosis‐free probability (CCFP) can provide dynamic information on continual CRT‐free expectations. This study aimed to assess the CCFP and hazard rates based on risk categories and various venous access devices (VADs).
Implementation of strengths model case management in seven mental health agencies in Canada: Direct-service practitioners' implementation experience.

RATIONALE Implementation of strengths model case management is increasing internationally. However, few studies have focused on its implementation process, and none have specifically addressed the implementation experience of direct-service practitioners. OBJECTIVE This paper presents factors that facilitate and impede the successful implementation of the strengths model, with a specific focus on practitioners who deliver the intervention directly to service recipients. METHOD To address this objective, a qualitative study of seven mental health agencies that implemented the model was conducted, involving a combination of participant observations and qualitative semistructured interviews with case managers, team supervisors, and senior managers. Qualitative data were analyzed using open coding followed by axial coding. Finally, the findings were aligned with an adapted Consolidated Framework for Implementation Research. RESULTS Implementation of the strengths model involved a significant change in practice for case management practitioners. The results confirm that at the beginning of implementation, the strengths model was perceived as complex and not always adaptable to on-the-ground realities. With time, and with support from management, ongoing training and supervision sessions, and reflection and discussion, practitioners regained feelings of competence and resistance to the model diminished. The use of the model's structured team-based supervision tools was fundamental to supporting the implementation process by enabling an interactive and concrete training approach. CONCLUSIONS The more an approach leads to changes in daily practice and is perceived as complex, the more concrete support is needed during implementation. This article highlights the importance of attending to a practitioner's sense of personal effectiveness and competence in the adoption of new practices.