Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced autophagy contributes to protective effects of IL-22 against acetaminophen-induced liver injury

Acute or acute-on-chronic liver failure is a leading cause of death in liver diseases without effective treatment. Interleukin-22 (IL-22) is currently in clinical trials for the treatment of severe alcoholic hepatitis, but the underlying mechanisms remain to be explored. Autophagy plays a critical role in alleviating liver injury. The aim of the current study is to explore the role of autophagy in IL-22-mediated hepato-protective effect against acetaminophen (APAP)-induced liver injury. Methods: A model of acute liver injury induced by APAP was used in vivo. IL-22 was administrated to the APAP-treated mice. Hepatocytes were pre-incubated with IL-22, followed by exposure to APAP for in vitro analyses. Results: IL-22 administration significantly reduced serum ALT and AST, hepatic reactive oxygen species, and liver necrosis in APAP-challenged mice. APAP treatment increased hepatic autophagosomes, which was further intensified by IL-22 co-treatment. Hepatic LC3-II was moderately upregulated after APAP administration without obvious alteration of phosphorylation of AMP-activated kinase (p-AMPK). IL-22 pretreatment significantly upregulated hepatic LC3-II and p-AMPK in APAP-treated mice. IL-22 also alleviated APAP-induced cytotoxicity and upregulated LC3-II and p-AMPK expression in cultured hepatocytes treated with APAP in vitro. When p-AMPK was blocked with compound C (an AMPK inhibitor), IL-22-mediated LC3-II conversion and protection against APAP-induced cytotoxicity was weakened. Conclusions: Enhanced AMPK-dependent autophagy contributes to protective effects of IL-22 against APAP-induced liver injury.
Wavelet-based detection of gait events from inertial sensors: analysis of sensitivity to scale choice

Nowadays, inertial sensors have shown great popularity in gait analysis, thanks to their advantages in terms of costs, encumbrance and usability in outdoor settings. The accuracy achieved by inertial-based systems in detecting gait events is however not as high as that obtained with lab-based equipment, even if many authors have presented methods to fill this gap. In particular, the segmentation of gait patterns into different cycles, and the determination of the stance and swing parts of each cycle are two key phases in the gait analysis process, as they are needed to extract all the spatio-temporal parameters. Thus, an accurate detection of initial contact (IC) and final contact (FC) events is necessary. Among the different methods presented in the literature, we chose a wavelet-based one, which used the vertical component of the acceleration extracted from an inertial sensor on the waist, and we investigated the changes in detection accuracy when varying the numerical values of a parameter (i.e., the wavelet scale value). Gait patterns of five healthy subjects were recorded by a waist-mounted inertial sensor, and by a stereophotogrammetric system, taken as reference: IC and FC events were then extracted and compared, obtaining an estimation for each scale. Precision, Sensitivity, and $\rm F1_{\mathbf {score}}$ curves showed that IC events are well estimated in the range of scales 29–87, while FC events in the range 24–65, at a sampling frequency of 250 samples/s. In these ranges, mean error, variability and RMSE values showed lower values for the estimated IC events (RMSE<39 ms) than for the FC ones (RMSE<47 ms). A common accurate subrange of scales was then determined (29–37). Thus, this analysis confirmed the good accuracy of the wavelet-based method within a wide range of scales and showed how the scale choice influences the accuracy of the estimates.
AN EXPONENTIALLY CONVERGENT ALGORITHM FOR LEARNING UNDER DISTRIBUTED FEATURES

This work studies the problem of learning under both large data and large feature space scenarios. The feature information is assumed to be spread across agents in a network, where each agent observes some of the features. Through local cooperation, the agents are supposed to interact with each other to solve the inference problem and converge towards the global minimizer of the empirical risk. We study this problem exclusively in the primal domain, and propose new and effective distributed solutions with guaranteed convergence to the minimizer. This is achieved by combining a dynamic diffusion construction, a pipeline strategy, and variance-reduced techniques. Simulation results illustrate the conclusions.
Primary Lung Dendritic Cell Cultures to Assess Efficacy of Spectinamide-1599 Against Intracellular Mycobacterium tuberculosis

There is an urgent need to treat tuberculosis (TB) quickly, effectively and without side effects. Mycobacterium tuberculosis (Mtb), the causative organism of TB, can survive for long periods of time within macrophages and dendritic cells and these intracellular bacilli are difficult to eliminate with current drug regimens. It is well established that Mtb responds differentially to drug treatment depending on its extracellular and intracellular location and replicative state. In this study, we isolated and cultured lung derived dendritic cells to be used as a screening system for drug efficacy against intracellular mycobacteria. Using mono- or combination drug treatments, we studied the action of spectinamide-1599 and pyrazinamide (antibiotics targeting slow-growing bacilli) in killing bacilli located within lung derived dendritic cells. Furthermore, because IFN-γ is an essential cytokine produced in response to Mtb infection and present during TB chemotherapy, we also assessed the efficacy of these drugs in the presence and absence of IFN-γ. Our results demonstrated that monotherapy with either spectinamide-1599 or pyrazinamide can reduce the intracellular bacterial burden by more than 99.9%. Even more impressive is that when TB infected lung derived dendritic cells are treated with spectinamide-1599 and pyrazinamide in combination with IFN-γ a strong synergistic effect was observed, which reduced the intracellular burden below the limit of detection. We concluded that IFN-γ activation of lung derived dendritic cells is essential for synergy between spectinamide-1599 and pyrazinamide.
Comparison of environmental DNA and bulk‐sample metabarcoding using highly degenerate cytochrome c oxidase I primers

Freshwater biodiversity provides important ecosystem services and is at the core of water quality monitoring worldwide. To assess freshwater biodiversity, genetic methods such as metabarcoding are increasingly used as they are faster and allow better taxonomic resolution than manual identification methods. Either sampled organisms are used directly for “bulk metabarcoding,” or water is filtered and the extracted environmental DNA serves as a proxy for biodiversity via “eDNA metabarcoding. ” Despite the advantages of both methods, questions remain regarding their comparability and applicability for routine biomonitoring and stressor impact assessment. Therefore, we compared metabarcoding results from bulk and eDNA samples taken from 19 streams spanning a wide gradient of farming intensities in New Zealand. We performed PCR with highly degenerate cytochrome c oxidase I primers and sequenced libraries on an Illumina MiSeq. The inferred community composition differed strongly between the two methods. More taxa were captured by eDNA than bulk‐sample metabarcoding (5,819 vs. 1,483), but more of the commonly used invertebrate bioindicator taxa (mayflies, stoneflies and caddisflies) were found in bulk (47) than eDNA samples (37). Catchment‐wide and local land use impacts on communities were detected better by eDNA metabarcoding, especially for non‐metazoan taxa. Our findings imply that bulk‐sample metabarcoding resembles classical freshwater biomonitoring approaches better, as more indicator macroinvertebrate taxa are captured. However, eDNA metabarcoding might be better suited to infer the impact of stressors on stream ecosystems at larger scales, as many new and potentially more informative taxa are registered. We therefore suggest exploring both methods in future assessments of stream biodiversity.
Development of novel EST‐SSR markers for Phyllanthus emblica (Phyllanthaceae) and cross‐amplification in two related species

Premise of the Study A novel set of EST‐SSR markers was developed for Phyllanthus emblica (Phyllanthaceae) to investigate the genetic structure and gene flow, identify novel genes of interest, and develop markers for assisted breeding. Methods and Results Based on the transcriptome data of P. emblica, 83 EST‐SSR primer pairs were designed; 52 primer pairs were successfully amplified, with 20 showing polymorphisms in 90 individuals from three populations of P. emblica. The number of alleles per locus varied from 11 to 44. The observed and expected levels of heterozygosity for the 20 loci ranged from 0.240 to 0.868 and 0.754 to 0.933, respectively. Cross‐species amplification was successful for all 20 loci in each of the two related species, P. reticulatus and Leptopus chinensis. Conclusions These markers will be valuable for studying the population genetics and for mining genes of P. emblica, and may be useful for studies of related species.
Correlation of Charge Distribution Among Different Branches in a Natural Lightning Flash

By analyzing the high-speed video camera images of a natural cloud-to-ground (CG) lightning flash, we attempt to employ the luminosity of descending stepped leader to infer the correlation of charge distribution among different branches. Observations are made using a high-speed video camera operated at 20 000 frames/s. For a period of hundreds of microsecond before the return stroke, the correlation of charge density among different downward branches is acquired using the proposed algorithm. Besides, the charge simulation method (CSM) is adopted to get the charge density along the primary and secondary leader channels. Both the simulation and experiment results show that the charge density is highest at the leader tip and decreased approximately linear from the tip, indicating the effectiveness of our proposed model for retrieving the correlation of charge density among different branches. However, compared with the CSM results, the charge density calculated from the proposed algorithm is always changing. This characteristic should be taken into consideration in the research related to the lightning protection design.
Exploring Face Recognition under Complex Lighting Conditions with HDR Imaging

Applying image processing applications under complex or harsh lighting conditions can be a difficult challenge. In particular, face recognition can be prone to such limitations due to the uncontrolled nature of the applications to which it is applied. One of the conventional ways used to resolve this concern is by capturing images under controlled light or pre-processing the affected images, which can change the perception of the resultant images. One of the primary issues with this is the lack of information present in the original images due to over-exposed and under-exposed pixels. High Dynamic Range (HDR) imaging offers an alternative due to its capability of handling natural lighting. This paper explores the use HDR imaging for face recognition. A training and testing set of HDR images under different harsh lighting conditions was created. Traditional low dynamic range methods were compared with using the full range and applying HDR methods to a traditional face recognition method. Results demonstrate that adapting HDR captured images for use with traditional face recognition methods via a tone mapping provides sufficient improvement and enables traditional algorithms to cope well with harsh lighting scenarios.
Auditory Predictive Coding across Awareness States under Anesthesia: An Intracranial Electrophysiology Study

The systems-level mechanisms underlying loss of consciousness (LOC) under anesthesia remain unclear. General anesthetics suppress sensory responses within higher-order cortex and feedback connections, both critical elements of predictive coding hypotheses of conscious perception. Responses to auditory novelty may offer promise as biomarkers for consciousness. This study examined anesthesia-induced changes in auditory novelty responses over short (local deviant [LD]) and long (global deviant [GD]) time scales, envisioned to engage preattentive and conscious levels of processing, respectively. Electrocorticographic recordings were obtained in human neurosurgical patients (3 male, 3 female) from four hierarchical processing levels: core auditory cortex, non-core auditory cortex, auditory-related, and PFC. Stimuli were vowel patterns incorporating deviants within and across stimuli (LD and GD). Subjects were presented with stimuli while awake, and during sedation (responsive) and following LOC (unresponsive) under propofol anesthesia. LD and GD effects were assayed as the averaged evoked potential and high gamma (70–150 Hz) activity. In the awake state, LD and GD effects were present in all recorded regions, with averaged evoked potential effects more broadly distributed than high gamma activity. Under sedation, LD effects were preserved in all regions, except PFC. LOC was accompanied by loss of LD effects outside of auditory cortex. By contrast, GD effects were markedly suppressed under sedation in all regions and were absent following LOC. Thus, although the presence of GD effects is indicative of being awake, its absence is not indicative of LOC. Loss of LD effects in higher-order cortical areas may constitute an alternative biomarker of LOC. SIGNIFICANCE STATEMENT Development of a biomarker that indexes changes in the brain upon loss of consciousness (LOC) under general anesthesia has broad implications for elucidating the neural basis of awareness and clinical relevance to mechanisms of sleep, coma, and disorders of consciousness. Using intracranial recordings from neurosurgery patients, we investigated changes in the activation of cortical networks involved in auditory novelty detection over short (local deviance) and long (global deviance) time scales associated with sedation and LOC under propofol anesthesia. Our results indicate that, whereas the presence of global deviance effects can index awareness, their loss cannot serve as a biomarker for LOC. The dramatic reduction of local deviance effects in areas beyond auditory cortex may constitute an alternative biomarker of LOC.
Interrater Reliability of Osteopathic Sacral Palpatory Diagnostic Tests Among Osteopathy Students

Abstract Context Somatic dysfunctions are a key element of osteopathic practice. The evaluation of somatic dysfunctions is achieved by assessment of the TART (tissue texture abnormality, asymmetry, restriction of motion, tenderness) parameters. The reliability of a diagnostic method is the crux of successful treatment. Interrater reliability of osteopathic palpatory diagnostic tests have been studied on different anatomical areas, but there are no studies on the evaluation of all of the TART parameters on the sacrum. Objective To evaluate the interrater reliability of osteopathic sacral palpatory diagnostic tests. The hypothesis was that 3 trained osteopathy students at the end of their curriculum could achieve at least moderate agreement on osteopathic sacral palpatory diagnostic tests. Methods Three students from the Centre pour l’Étude, la Recherche et la Diffusion Ostéopathiques school in Rome, Italy, at the end of their curriculum participated as raters and received consensus training. Eligible subjects among students of the same school were recruited on a voluntary basis to be tested. All of the raters tested the sacrum by evaluating the TART parameters on every subject for 3 minutes. Raters were blinded to the other raters’ findings. Interrater reliability was evaluated using Fleiss κ statistics. Results Fifty-two subjects (20 women) were enrolled in the study. Mean (SD) age was 25.9 (7.03) years; height, 1.73 (0.09) ms; weight, 68.73 (14.2) kg; and body mass index, 22.66 (3.58). Agreement was fair for tissue texture abnormality (κ=0.28), asymmetry (κ=0.29), restriction of motion (κ=0.32), and tenderness (κ=0.34); agreement was slight for landmark position (κ=0.06) and diagnosis of somatic dysfunction (κ=0.17). Conclusion Results showed a level of agreement ranging from slight to fair in the assessment of the TART parameters among raters, who were in their last year of osteopathy school. The tenderness parameter was the most reliable. Our findings are consistent with other interrater reliability studies carried out in different body regions, contributing to show an overall heterogeneous level of diagnostic reliability in osteopathy.
Corneal endothelial changes in patients with vitamin D deficiency

Purpose: The purpose of this study is to evaluate the effect of vitamin D deficiency on corneal endothelial layer using specular microscopy. Methods: Fifty-eight eyes of 58 patients whose vitamin D level was below 15 ng/ml and who had no ocular pathology were included in the study (Group 1). Forty eyes of 40 age-and sex-matched subjects were enrolled as control group (Group 2). Corneal endothelial cell density (CD), coefficient of variation (CV), hexagonal cell ratio (HEX), and central corneal thickness (CCT) were measured using specular microscopy (Konan Medical Inc., Nishinomiya, Japan). The obtained data were compared between the groups. Results: There was no significant difference between the groups in terms of age and gender (P = 0.344, P = 0.399, respectively). The mean CD value was 2772.79 ± 202.21 cells/mm2 in Group 1 and 2954.97 ± 116.89 cells/mm2 in Group 2 (P = 0.001). The mean CV value was 30.31 ± 3.65 in Group 1 and 28.20 ± 2.71 in Group 2 (P = 0.003). The mean HEX value was 46.56 ± 6.32 in Group 1 and 51.07 ± 5.28 in Group 2 (P = 0.001). The mean CCT value was 555.87 ± 36.90 μ in group 1 and 549.0 ± 37.39 μ in Group 2 (P = 0.96). Conclusion: Vitamin D deficiency may affect the corneal endothelial layer. Patients with vitamin D deficiency should be evaluated for endothelial parameters in particular before an intraocular surgery. Further studies are needed to confirm our results.
Multimodal speech synthesis architecture for unsupervised speaker adaptation

This paper proposes a new architecture for speaker adaptation of multi-speaker neural-network speech synthesis systems, in which an unseen speaker's voice can be built using a relatively small amount of speech data without transcriptions. This is sometimes called "unsupervised speaker adaptation". More specifically, we concatenate the layers to the audio inputs when performing unsupervised speaker adaptation while we concatenate them to the text inputs when synthesizing speech from text. Two new training schemes for the new architecture are also proposed in this paper. These training schemes are not limited to speech synthesis, other applications are suggested. Experimental results show that the proposed model not only enables adaptation to unseen speakers using untranscribed speech but it also improves the performance of multi-speaker modeling and speaker adaptation using transcribed audio files.
Italian students and the Grit-S : A self-report questionnaire for measuring perseverance and passion for long-term goals

The short Grit Scale (Grit-S) is a self-report questionnaire which measures trait-level perseverance and passion for long term goals. The current study aimed to validate the Italian Grit-S on university students. It was administered to 127 students. Internal consistency, content validity and discriminant validity of the instrument were assessed. An exploratory factor analysis (VARIMAX) confirmed the 2-factors structure of the scale. Content validity was reached with forward-backward translation, achieving semantic equivalence with the original scale. The total Grit-S displayed good internal consistency overall (alpha=.76). It also showed good discriminant validity, as shown by the significant correlations with the RSA [1] and the COPE-NVI [2]. The Italian version of the Grit-S shows good psychometric properties and appears suitable for evaluating grit in Italian setting.
Shell-Less Egg Syndrome (SES) Widespread in Western Canadian Layer Operations Is Linked to a Massachusetts (Mass) Type Infectious Bronchitis Virus (IBV) Isolate

A disease with a sudden drop in egg production and shell-less eggs called, shell-less egg syndrome (SES) has been observed in Western Canada egg layer flocks since 2010. The etiology of this disease is not known. We hypothesize that SES is caused by an infectious bronchitis virus (IBV) strain since it is known that IBV replicates in the shell gland causing various eggshell abnormalities. In this study, we screened egg layer flocks, in the provinces of Alberta (AB) and Saskatchewan (SK), with and without a history of SES for the presence of IBV infection. During 2015–2016, a total of 27 egg layer flocks were screened in AB (n = 7) and SK (n = 20). Eighty-one percent of the screened flocks (n = 22) were positive for IBV infection. Thirty of these isolates were successfully characterized using molecular tools targeting the most variable spike (S) 1 gene. IBV isolates from this study clustered into three genotypes based on partial S1 gene variability. The majority of the IBV isolates (70%) were Massachusetts (Mass) type, and the rest were either Connecticut (Conn) type or an uncharacterized genotype with genetic characteristics of Mass and Conn types. Since the majority of the IBV isolates included within the Mass type, we used a Mass type IBV isolate to reproduce SES in specific pathogen free (SPF) white leghorn chickens in lay. Further studies are warranted to investigate whether other IBV isolates can cause SES, to clarify the pathogenesis of SES and to develop a vaccine in order to prevent SES as observed in Western Canadian layer flocks.
DNM1L, a key prognostic predictor for gastric adenocarcinoma, is involved in cell proliferation, invasion, and apoptosis

Dynamin-1-like protein (DNM1L) encodes a member of the dynamin superfamily of GTPases. It mediates mitochondrial and peroxisomal division and is involved in the regulation of apoptosis. However, its role in gastric cancer remains unclear. MKN-45 gastric cancer cells were transfected with short hairpin RNA (shRNA) to suppress DNM1L expression. MTT, flow cytometry, and Transwell assays were used to detect the changes in cell proliferation, apoptosis, and invasion, respectively. Immunohistochemistry was used to detect DNM1L expression in gastric adenocarcinoma specimens, and the association of DNM1L expression with clinicopathological features and prognosis was analyzed. After the suppression of endogenous DNM1L expression in MKN-45 cells with shRNA, cell proliferation and invasion rates were significantly reduced, whereas apoptosis was significantly increased (all P<0.01). The expression of DNM1L was significantly higher in gastric adenocarcinoma specimens compared with that in pericarcinoma tissues (P<0.001). The expression of DNM1L increased with increasing infiltration depth, lymphatic metastasis, and higher tumor node metastasis stage (P<0.05). The expression of DNM1L associated negatively with prognosis (P<0.01). DNM1L plays a critical role in the proliferation, invasion and apoptosis of human gastric adenocarcinoma. DNM1L expression has prognostic significance for the survival of patients with gastric adenocarcinoma.
Low-Power-Consumption Integrated Tunable Filters for WDM Switching Applications in Silicon Photonics

We present the experimental results of thermally tunable double microring resonator devices for integrated wavelength division multiplexing applications. The devices demonstrated a free-spectral range up to 2.4 THz (19.2 nm) around 1550 nm and a channel rejection higher than 35 dB. Using Ti/TiN metal heaters, a power consumption of 20 mW per FSR per ring is achieved, which outperformed analogous devices fabricated using the standard silicon process. A thermal tuning efficiency of 0.95 nm/mW is accomplished, and a symmetric tuning is obtained with less than 1% of electrical compensation.