Miracle-dz/UniFAR-FTUs huggingface dataset:
A-PASS: an automated pipeline to analyze simultaneously acquired EEG-fMRI data for studying brain activities during sleep

Objective. Concurrent electroencephalography and functional magnetic resonance imaging (EEG-fMRI) signals can be used to uncover the nature of brain activities during sleep. However, analyzing simultaneously acquired EEG-fMRI data is extremely time consuming and experience dependent. Thus, we developed a pipeline, which we named A-PASS, to automatically analyze simultaneously acquired EEG-fMRI data for studying brain activities during sleep. Approach. A deep learning model was trained on a sleep EEG-fMRI dataset from 45 subjects and used to perform sleep stage scoring. Various fMRI indices can be calculated with A-PASS to depict the neurophysiological characteristics across different sleep stages. We tested the performance of A-PASS on an independent sleep EEG-fMRI dataset from 28 subjects. Statistical maps regarding the main effect of sleep stages and differences between each pair of stages of fMRI indices were generated and compared using both A-PASS and manual processing methods. Main results. The deep learning model implemented in A-PASS achieved both an accuracy and F1-score higher than 70% for sleep stage classification on EEG data acquired during fMRI scanning. The statistical maps generated from A-PASS largely resembled those produced from manually scored stages plus a combination of multiple software programs. Significance. A-PASS allowed efficient EEG-fMRI data processing without manual operation and could serve as a reliable and powerful tool for simultaneous EEG-fMRI studies on sleep.
Optimizing Perioperative Renal Replacement Therapy for Patients Undergoing Cardiac Surgical Procedures Requiring Cardiopulmonary Bypass

Coronary artery disease is highly prevalent in patients with end-stage renal disease (ESRD), and cardiovascular complications remain the most common cause of death in this patient population. Accordingly, many cardiac surgical procedures requiring cardiopulmonary bypass support are performed on these patients each year, with morbidity and mortality rates far exceeding patients without ESRD. Anuric patients lack the normal renal homeostatic functions which typically allow for physiologic protection from challenges during the operation, such as volume overload, hyperkalemia, and acidemia. Careful preoperative planning and coordination to provide pre-, intra-, and postoperative renal replacement therapies for such patients are imperative. Many different strategies have been reported in the literature. Zero-balance ultrafiltration is a newer strategy which utilizes convective ultrafiltration much like pre-filter continuous renal replacement therapy and utilizes pre-existing connections on the cardiopulmonary bypass pump performed by the perfusion team. This allows for control of potassium concentration throughout the operation with existing personnel and minimal additional equipment. Here, we describe the unique challenges caring for patients receiving renal replacement therapy undergoing cardiac surgical procedures requiring cardiopulmonary bypass.
Mice lacking proSAAS display alterations in emotion, consummatory behavior and circadian entrainment

ProSAAS is a neuroendocrine protein that is cleaved by neuropeptide‐processing enzymes into more than a dozen products including the bigLEN and PEN peptides, which bind and activate the receptors GPR171 and GPR83, respectively. Previous studies have suggested that proSAAS‐derived peptides are involved in physiological functions that include body weight regulation, circadian rhythms and anxiety‐like behavior. In the present study, we find that proSAAS knockout mice display robust anxiety‐like behaviors in the open field, light–dark emergence and elevated zero maze tests. These mutant mice also show a reduction in cued fear and an impairment in fear‐potentiated startle, indicating an important role for proSAAS‐derived peptides in emotional behaviors. ProSAAS knockout mice exhibit reduced water consumption and urine production relative to wild‐type controls. No differences in food consumption and overall energy expenditure were observed between the genotypes. However, the respiratory exchange ratio was elevated in the mutants during the light portion of the light–dark cycle, indicating decreased fat metabolism during this period. While proSAAS knockout mice show normal circadian patterns of activity, even upon long‐term exposure to constant darkness, they were unable to shift their circadian clock upon exposure to a light pulse. Taken together, these results show that proSAAS‐derived peptides modulate a wide range of behaviors including emotion, metabolism and the regulation of the circadian clock.
A retrospective analysis of dexmedetomidine and morphine in the fast‐track and ultra‐fast‐track extubation protocol after congenital cardiac surgery

After congenital cardiac surgery, the duration of mechanical ventilation (MV) is related to the clinical status, type of operation, and the sedative‐analgesic agents used postoperatively. This study aims to examine the effects of dexmedetomidine and morphine on the fast‐track extubation (FTE) and ultra‐fast‐track extubation (UFTE) protocol after congenital cardiac surgery.
Dorsal Augmentation Using a Glued Diced Cartilage Graft Fashioned with a Newly Developed Mold in Asian Rhinoplasty

Background: In dorsal augmentation, costal cartilage can be used in a number of different ways: monobloc, fascia wrapped, or glued diced cartilage grafting (GDCG). The authors developed a mold to make the use of GDCG more convenient. This report describes their experience with GDCG using a novel mold for dorsal augmentation. Methods: The study involved 80 patients who underwent dorsal augmentation with the molded GDCG. Facial photographs and medical records were reviewed to assess patient satisfaction and postoperative complications. For the 23 patients who had three-dimensional scanned imaging, dorsal widths and dorsal heights at the radix and rhinion levels were measured to investigate changes in the implants over time. Resorption of the graft was assessed comparing the 3-month postoperative photograph with the latest photograph taken at the last follow-up (at least 1 year after the surgery). Serial changes of the dorsum were assessed with three-dimensional scanned images. Results: A total of 66 patients (82.5 percent) were satisfied with their surgical outcomes. Complications were encountered in 19 patients (23.8 percent) and eight revision procedures (10 percent) were performed. One patient underwent revision surgery because of resorption of the GDCG. Analysis using a three-dimensional scanning device showed a significant increment of the dorsal height (p < 0.05) without dorsal widening when comparing preoperative with 1-year postoperative follow-up data. There were no significant reductions in dorsal height between postoperative 3 months and 1 year. Conclusion: The use of a novel mold for shaping glued diced cartilage appears to be a useful technique for dorsal augmentation in rhinoplasty. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.
Adaptive Control of an Integrator with Unknown Dead-Time

An adaptive control system is proposed for an unknown integrator process with unknown dead-time. The process dead-time and gain are estimated simultaneously using an extended regression model and recursive least-squares estimation. The parameter estimates are used to scale the actuator signal, transforming the unknown process into a known reference process, while the dead-time estimate provides deadtime compensation via state prediction.
Prevalence and risk factors of coliform-associated mastitis and antibiotic resistance of coliforms from lactating dairy cows in North West Cameroon

Background Coliform bacteria are major causative agents of bovine mastitis, a disease that has devastating effect on dairy animal health and milk production. This cross-sectional study, carried out in the North West region of Cameroon, sought to determine the prevalence of bovine mastitis, coliforms associated with bovine mastitis, risk factors for infection and the antibiotic resistance pattern of coliform bacterial isolates. Materials and methods A total of 1608 udder quarters were sampled from 411 cows using a questionnaire, clinical examination, California Mastitis Test and milk culture. Primary isolation of coliform bacteria was done on MacConkey agar while identification of coliforms employed Gram-staining and biochemical testing. Each coliform bacterial isolate was challenged with 11 antibiotics using the Kirby-Bauer disc diffusion method. Results The prevalence of mastitis was 53.0% (218/411) and 33.1% (532/1608) at the cow- and quarter-levels respectively. Overall, 21.9% (90/411) cows and 8.2% (132/1608) udder quarters showed coliform mastitis. Escherichia coli was isolated in 7.0% of mastitis milk, and other coliforms isolated were Enterobacter cloacae (12.6%), Klebsiella pneumoniae (2.4%), Enterobacter sakazakii (1.1%), Klebsiella oxytoca (0.8%), Citrobacter freudii (0.4%), Serratia ficaria (0.4%) and Serratia liquefaciens (0.2%). Lactation stage, breed, history of mastitis and moist/muddy faeces contaminated environment were significantly associated (P-value < 0.05) with coliform mastitis. Coliform isolates (99.0%; 203/205) were resistant to at least one antibiotic tested. Amoxicillin had the highest resistance (88.8%) while norfloxacin had the least resistance (3.4%). Multidrug resistance was exhibited by 52.7% (108/205) of the isolates in a proportion of 27.8% Enterobacter cloacae, 10.7% E. coli, 6.3% Klebsiella pneumoniae, 2.9% Enterobacter sakazakii, 2.0% Klebsiella oxytoca, 1.0% Citrobacter freundii, 1.0% Serratia ficaria, 0.5% Serratia liquefaciens and 0.5% Serratia odorifera. Conclusion Results indicate a need to educate these dairy farmers about mastitis (particularly subclinical), proper hygiene methods in milking and the public health implications of consuming contaminated raw milk.
Effects of Gain/Loss Frames on Telling Lies of Omission and Commission

Abstract An increased focus on fake news and misinformation is currently emerging. But what does it mean when information is designated as “fake? ” Research on deception has focused on lies of commission, in which people disclose something false as true. However, people can also lie by omission, by withholding important yet true information. In this research, we investigate when people are more likely to tell a lie of omission. In three studies, with tests among undergraduates, online sample respondents, and candidates for U.S. Senate, we found that people in a gain frame were more likely to lie by omission (vs. commission), and vice versa for a loss frame. Moreover, participants rated lies of commission in a gain frame as the least acceptable type of deception, suggesting why people may avoid telling this kind of lie. Overall, our results emphasize that from frame-to-frame, lying is not only different in degree but different in kind.
Lithium and Valproate in Bipolar Disorder: From International Evidence-based Guidelines to Clinical Predictors

Since decades, lithium and valproate remain the pharmacological cornerstone to treat bipolar disorder. Different response patterns occur according to the phases of illness. At same time, individual pretreatment variables may concur to determine a specific drug-response. Our narrative review focuses on these two key clinical aspects to summarize the state of art. Information from i) clinical trials and ii) the most relevant international guidelines is collected to assess the clinical and preclinical factors that may guide the use of lithium rather than valproate. Lithium may be effective in treating acute mania, and lithium efficacy is maximized when used to prevent both manic and depressive episodes. Lithium may be a better treatment choice in patients with: positive family history for bipolar disorder, mania-depression-interval pattern, few previous affective episodes/hospitalizations, high risk for suicide, no comorbidities. Valproate may be more effective as antimanic rather than prophylactic agent. Valproate might be a better choice in patients with many previous affective episodes/hospitalizations and psychiatric comorbidities. Finally, neither lithium nor valproate are suggested for the treatment of acute mixed states or bipolar depression. To consider clinical and preclinical factors may thus be useful to select the best treatment strategy.
Descriptive transcriptome analysis of tendon derived fibroblasts following in-vitro exposure to advanced glycation end products

Background Tendon pathologies affect a large portion of people with diabetes. This high rate of tendon pain, injury, and disease appears to manifest independent of well-controlled HbA1c and fasting blood glucose. Advanced glycation end products (AGEs) are elevated in the serum of those with diabetes. In vitro, AGEs severely impact tendon fibroblast proliferation and mitochondrial function. However, the extent that AGEs impact the tendon cell transcriptome has not been evaluated. Objective The purpose of this study was to investigate transcriptome-wide changes that occur to tendon-derived fibroblasts following treatment with AGEs. We propose to complete a descriptive approach to pathway profiling to broaden our mechanistic understanding of cell signaling events that may contribute to the development of tendon pathology. Methods Rat Achilles tendon fibroblasts were treated with glycolaldehyde-derived AGEs (200μg/ml) for 48 hours in normal glucose (5.5mM) conditions. In addition, total RNA was isolated, and the PolyA+ library was sequenced. Results We demonstrate that tendon fibroblasts treated with 200μg/ml of AGEs differentially express 2,159 gene targets compared to fibroblasts treated with an equal amount of BSA-Control. Additionally, we report in a descriptive and ranked fashion 21 implicated cell-signaling pathways. Conclusion Our findings suggest that AGEs disrupt the tendon fibroblast transcriptome on a large scale and that these pathways may contribute to the development and progression of diabetic tendinopathy. Specifically, pathways related to cell cycle progression and extracellular matrix remodeling were affected in our data set and may play a contributing role in the development of diabetic tendon complications.
Association of sleep with mental health in Chinese high school students: a cross‐sectional study

Adolescents’ sleep problems and their association with mental health is an important public health concern. This study aimed to investigate sleep and mental health status and the association of sleep with mental health in Chinese high school students. Data came from a cross‐sectional study in Guangdong province which included 42,077 high school students. Sleep quality and sleep duration were obtained through self‐report. The Depression Anxiety and Stress Scale (DASS‐21) was used to measure mental health. The association between sleep quality, sleep duration, and mental health was analysed using logistic regression. The prevalence of depression, anxiety, and stress symptoms were 35.27%, 42.32%, and 21.87% in high school students, respectively. And only 17.71% and 34.41% of the high school students had very good sleep quality and ≥8 h sleep duration, respectively. Poorer sleep quality and shorter sleep duration were risk factors for mental health problems in high school students. Compared to high school students with very good sleep quality and ≥8 h sleep duration, the high school students with poor or very poor sleep quality and <6 h sleep duration had the highest risk of depression symptoms (odds ratio [OR] 5.02, 95% confidence interval [CI] 4.40–5.72), anxiety symptoms (OR 6.02, 95% CI5.25–6.89), and stress symptoms (OR 6.12, 95% CI5.30–7.06). Considering the combined association of sleep quality and sleep duration on mental health, it is important not only to ensure that high school students have sufficient sleep duration, but also to improve their sleep quality.
Hypomethylating agents combined with low-dose chemotherapy for elderly patients with acute myeloid leukaemia unfit for intensive chemotherapy: a real-world clinical experience

Abstract This study aimed to assess the efficacy and safety of hypomethylating agent (HMA)-based regimens in the treatment of older adult patients with acute myeloid leukaemia (AML), unfit for standard induction chemotherapy. Treatment outcomes and prognostic factors of 140 older adult patients with AML who were unfit for intensive chemotherapy and were treated with HMA-based therapies were retrospectively analysed. The median age of the group was 70 years, and poor-risk cytogenetics and secondary/treatment-related AML (s/t-AML) accounted for 45.6% and 34.3% of these patients, respectively. The overall response rate was 48.6%, and 40.1% for patients who achieved complete remission (CR) or CR with incomplete blood count recovery. The median overall survival (OS) was 10.4 months, and the 1-, 2-, and 5-year OS rates were 42.6%, 19.9%, and 4.9%, respectively. Early mortality accounted for 4.3% of all cases, and infection occurred in 87.1% of all patients during induction therapy. Patients who received HMA and low-dose chemotherapy presented with significantly superior response and long-term survival rates compared to those who received HMA alone. They also showed comparable outcomes to those treated with the azacitidine plus venetoclax protocol. Low-dose chemotherapy in combination with decitabine or azacitidine showed a similar response rate and prognosis. Age ≥ 75years and a white blood cell (WBC) count ≥ 10 × 109 cells/L were identified as independent adverse prognostic factors for OS, while poor-risk cytogenetics, percentage of bone marrow blasts, and s/tAML had no significant impact on OS when patients were treated with HMA-based regimens. In conclusion, HMA combined with low-dose chemotherapy was effective and safe in older adults with AML who were unfit for intensive chemotherapy, and no difference was observed between decitabine and azacitidine.
Cardiac ion channel expression in the equine model ‐ In‐silico prediction utilising RNA sequencing data from mixed tissue samples

Understanding cardiomyocyte ion channel expression is crucial to understanding normal cardiac electrophysiology and underlying mechanisms of cardiac pathologies particularly arrhythmias. Hitherto, equine cardiac ion channel expression has rarely been investigated. Therefore, we aim to predict equine cardiac ion channel gene expression. Raw RNAseq data from normal horses from 9 datasets was retrieved from ArrayExpress and European Nucleotide Archive and reanalysed. The normalised (FPKM) read counts for a gene in a mix of tissue were hypothesised to be the average of the expected expression in each tissue weighted by the proportion of the tissue in the mix. The cardiac‐specific expression was predicted by estimating the mean expression in each other tissues. To evaluate the performance of the model, predicted gene expression values were compared to the human cardiac gene expression. Cardiac‐specific expression could be predicted for 91 ion channels including most expressed Na+ channels, K+ channels and Ca2+‐handling proteins. These revealed interesting differences from what would be expected based on human studies. These differences included predominance of NaV1.4 rather than NaV1.5 channel, and RYR1, SERCA1 and CASQ1 rather than RYR2, SERCA2, CASQ2 Ca2+‐handling proteins. Differences in channel expression not only implicate potentially different regulatory mechanisms but also pathological mechanisms of arrhythmogenesis.
Few-Shot Learning With Class-Covariance Metric for Hyperspectral Image Classification

Recently, embedding and metric-based few-shot learning (FSL) has been introduced into hyperspectral image classification (HSIC) and achieved impressive progress. To further enhance the performance with few labeled samples, we in this paper propose a novel FSL framework for HSIC with a class-covariance metric (CMFSL). Overall, the CMFSL learns global class representations for each training episode by interactively using training samples from the base and novel classes, and a synthesis strategy is employed on the novel classes to avoid overfitting. During the meta-training and meta-testing, the class labels are determined directly using the Mahalanobis distance measurement rather than an extra classifier. Benefiting from the task-adapted class-covariance estimations, the CMFSL can construct more flexible decision boundaries than the commonly used Euclidean metric. Additionally, a lightweight cross-scale convolutional network (LXConvNet) consisting of 3D and 2D convolutions is designed to thoroughly exploit the spectral-spatial information in the high-frequency and low-frequency scales with low computational complexity. Furthermore, we devise a spectral-prior-based refinement module (SPRM) in the initial stage of feature extraction, which cannot only force the network to emphasize the most informative bands while suppressing the useless ones, but also alleviate the effects of the domain shift between the base and novel categories to learn a collaborative embedding mapping. Extensive experiment results on four benchmark data sets demonstrate that the proposed CMFSL can outperform the state-of-the-art methods with few-shot annotated samples.
Understanding trait impressions from faces

Abstract Impressions from faces are made remarkably quickly and they can underpin behaviour in a wide variety of social contexts. Over the last decade many studies have sought to trace the links between facial cues and social perception and behaviour. One such body of work has shown clear overlap between the fields of face perception and social stereotyping by demonstrating a role for conceptual stereotypes in impression formation from faces. We integrate these results involving conceptual influences on impressions with another substantial body of research in visual cognition which demonstrates that much of the variance in impressions can be predicted from perceptual, data‐driven models using physical cues in face images. We relate this discussion to the phylogenetic, cultural, individual and developmental origins of facial impressions and define priority research questions for the field including investigating non‐WEIRD cultures, tracking the developmental trajectory of impressions and determining the malleability of impression formation.