Miracle-dz/UniFAR-FTUs huggingface dataset:
Transcranial direct current stimulation modulates working memory and prefrontal-insula connectivity after mild-moderate traumatic brain injury

Background: Persistent posttraumatic symptoms (PPS) may manifest after a mild-moderate traumatic brain injury (mmTBI) even when standard brain imaging appears normal. Transcranial direct current stimulation (tDCS) represents a promising treatment that may ameliorate pathophysiological processes contributing to PPS. Objective/Hypothesis: We hypothesized that in a mmTBI population, active tDCS combined with training would result in greater improvement in executive functions and post-TBI cognitive symptoms and increased resting state connectivity of the stimulated region, i.e., left dorsolateral prefrontal cortex (DLPFC) compared to control tDCS. Methods: Thirty-four subjects with mmTBI underwent baseline assessments of demographics, symptoms, and cognitive function as well as resting state functional magnetic resonance imaging (rsfMRI) in a subset of patients (n = 24). Primary outcome measures included NIH EXAMINER composite scores, and the Neurobehavioral Symptom Inventory (NSI). All participants received 10 daily sessions of 30 min of executive function training coupled with active or control tDCS (2 mA, anode F3, cathode right deltoid). Imaging and assessments were re-obtained after the final training session, and assessments were repeated after 1 month. Mixed-models linear regression and repeated measures analyses of variance were calculated for main effects and interactions. Results: Both active and control groups demonstrated improvements in executive function (EXAMINER composite: p < 0.001) and posttraumatic symptoms (NSI cognitive: p = 0.01) from baseline to 1 month. Active anodal tDCS was associated with greater improvements in working memory reaction time compared to control (p = 0.007). Reaction time improvement correlated significantly with the degree of connectivity change between the right DLPFC and the left anterior insula (p = 0.02). Conclusion: Anodal tDCS improved reaction time on an online working memory task in a mmTBI population, and decreased connectivity between executive network and salience network nodes. These findings generate important hypotheses for the mechanism of recovery from PPS after mild-moderate TBI.
The commonness in immune infiltration of rheumatoid arthritis and atherosclerosis: Screening for central targets via microarray data analysis

Background Although increasing evidence has reported an increased risk of atherosclerosis (AS) in rheumatoid arthritis (RA), the communal molecular mechanism of this phenomenon is still far from being fully elucidated. Hence, this article aimed to explore the pathogenesis of RA complicated with AS. Methods Based on the strict inclusion/exclusion criteria, four gene datasets were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the communal differentially expressed genes (DEGs) and hub genes, comprehensive bioinformatics analysis, including functional annotation, co-expression analysis, expression validation, drug-gene prediction, and TF-mRNA-miRNA regulatory network construction, was conducted. Moreover, the immune infiltration of RA and AS was analyzed and compared based on the CIBERSORT algorithm, and the correlation between hub genes and infiltrating immune cells was evaluated in RA and AS respectively. Results A total of 54 upregulated and 12 downregulated communal DEGs were screened between GSE100927 and GSE55457, and functional analysis of these genes indicated that the potential pathogenesis lies in immune terms. After the protein-protein interaction (PPI) network construction, a total of six hub genes (CCR5, CCR7, IL7R, PTPRC, CD2, and CD3D) were determined as hub genes, and the subsequent comprehensive bioinformatics analysis of the hub genes re-emphasized the importance of the immune system in RA and AS. Additionally, three overlapping infiltrating immune cells were found between RA and AS based on the CIBERSORT algorithm, including upregulated memory B cells, follicular helper T cells and γδT cells. Conclusions Our study uncover the communal central genes and commonness in immune infiltration between RA and AS, and the analysis of six hub genes and three immune cells profile might provide new insights into potential pathogenesis therapeutic direction of RA complicated with AS.
“It hurt but it helped”: A mixed methods audit of the implementation of trauma- focused cognitive-behavioral therapy for psychosis

Background Emerging evidence supports the safety, acceptability, and efficacy of trauma therapies for people experiencing post-traumatic stress and psychosis, despite common concerns about iatrogenic harm when processing trauma memories for this population. However, to date there have been no mixed-method studies examining whether trauma-focused therapy can be implemented in routine care. This study reports an audit of a post-traumatic stress in psychosis clinic based in an inner-city trust in the U.K. National Health Service. Materials and methods People under the care of psychosis community mental health teams with a significant history of past trauma were referred to the clinic by their multidisciplinary clinicians. Referral outcomes were recorded, including the proportion of people for whom trauma-focused cognitive-behavior therapy for psychosis was indicated. Post-traumatic stress symptoms were assessed pre- and post-therapy for clinically significant change on the Post-traumatic Stress Checklist (version 4) and Post-traumatic Stress Checklist (version 5). A subgroup of service users was also interviewed about their experience of therapy, with transcripts analyzed using inductive thematic analysis. Results Seventy one service-users were referred to the clinic between 2014 and 2018, of which 51 (71.8%) attended an assessment. Of these, 20 (39.2%) were identified as having clinically significant PTSD symptoms with re-experiencing and were offered trauma-focused cognitive-behavior therapy for psychosis. Sixteen (80%) accepted and completed therapy, with no dropouts, and received a mean of 17.54 sessions (SD = 17.60, range = 12–91). There were no serious adverse events related to therapy. Clinically significant change was observed in 68.8% (n = 11) of the therapy group and post-therapy six people (37.5%) no longer met the threshold for clinically significant PTSD. Six service users completed an interview about their therapy experiences with findings organized within four main themes and associated subthemes: (1) Perseverance, (2) Establishing safety, (3) The challenges of therapy, and (4) Rebuilding one’s life after trauma. Conclusion Trauma-focused cognitive-behavior therapy for psychosis can be safe, acceptable, and effective when implemented in routine care. Lived experience perspectives highlight the emotional demands of therapy and long-term impact of trauma, thus underscoring the necessity of sufficient support and continuity of care both during and after therapy.
RHESSI Spectral Fits of Swift GRBs

One of the challenges of the Swift era has been accurately determining Epeak for the prompt GRB emission. RHESSI, which is sensitive from 30 keV to 17 MeV, can extend spectral coverage above the Swift‐BAT bandpass. Using the public Swift data, we present results of joint spectral fits for 26 bursts co‐observed by RHESSI and Swift‐BAT through May 2007. We compare these fits to estimates of Epeak which rely on BAT data alone. A Bayesian Epeak estimator gives better correspondence with our measured results than an estimator relying on correlations with the Swift power law indices.
Severe pneumonia caused by human adenovirus type 55 in children

Background Emerging human adenovirus type 55 (HAdV-55) causes fatal pneumonia in adults. There is a lack of studies on severe pneumonia caused by HAdV-55 in children. Methods We conducted a retrospective review of pediatric patients hospitalized at Guangzhou Women and Children’s Medical Center with severe pneumonia from 2013 to 2020 who had human adenovirus (HAdV) detected in throat samples or bronchoalveolar lavage fluid using RT-PCR. The presence of HAdV-55 was determined by PCR amplification of the hypervariable regions of the hexon gene. Demographic, clinical, etiological, and outcome data were collected and analyzed. Results Over the eight-year period, HAdV-55 was detected in three severe and six critical pediatric pneumonia patients. None of the patients had any underlying diseases, and had a median age of 18 months (range, 6–108 months). The male to female ratio was 2:1. All patients presented with fever and cough, and three patients presented with wheezing and diarrhea. Six patients had coinfections with other respiratory pathogens, such as bacteria, Mycoplasma pneumoniae and fungi. Three critical patients developed plastic bronchitis (PB). The median lengths of invasive mechanical ventilation and hospital stay of the critical patients were 10 (8, 28.75) days and 25 (13, 32.25) days, respectively. Three critical patients died, although two of them received extracorporeal membrane oxygenation (ECMO) and blood purification. Three surviving patients developed post-infectious bronchiolitis obliterans (PIBO) at the follow-up. Conclusions HAdV-55 can cause fatal pneumonia in children, and shows a high rate of co-infection with other respiratory pathogens and a poorer prognosis combined with PB. Thus, HAdV-55 may be an important subtype in patients with HAdV-induced pneumonia who develop PIBO.
Significance of macrophage infiltration in the prognosis of lung adenocarcinoma patients evaluated by scRNA and bulkRNA analysis

Purpose To investigate the significance of macrophage infiltration to the prognosis of lung adenocarcinoma. Methods R language bioinformatics analysis technology, was used to obtain macrophage infiltration-related module genes through WGCNA (Weighted Gene Co-Expression Network Analysis). Marker genes of macrophage subtypes were identified using single-cell sequencing of lung adenocarcinoma tissue. Risk score models were constructed and validated using external data cohorts and clinical samples. Results Analysis of cohorts TCGA-LUAD, GSE11969, GSE31210, GSE50081, GSE72094 and GSE8894, revealed a negative correlation between macrophage infiltration and survival. Immunohistochemical analyses of clinical samples were consistent with these data. Based on cell-cluster-markers and TAMs-related-genes, TOP8 genes were obtained (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, and TK1) with a significant association to prognosis. Risk score models including 9 factors (C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65) for prognosis were constructed. The efficacy, stability and generalizability of the risk score models were validated using multiple data cohorts (GSE19188, GSE26939, GSE31210, GSE50081, GSE42127, and GSE72094). Conclusions Macrophage infiltration negatively correlates with prognosis in patients with lung adenocarcinoma. Based on cell-cluster-markers and TAMs-related-genes, both TOP8 genes (C1QTNF6, CCNB1, FSCN1, HMMR, KPNA2, PRC1, RRM2, TK1) and risk score models using C1QTNF6, FSCN1, KPNA2, GLI2, TYMS, BIRC3, RBBP7, KRT8, GPR65 could predict disease prognosis.
Pseudomonas aeruginosa reference strains PAO1 and PA14: A genomic, phenotypic, and therapeutic review

Pseudomonas aeruginosa is a ubiquitous, motile, gram-negative bacterium that has been recently identified as a multi-drug resistant pathogen in critical need of novel therapeutics. Of the approximately 5,000 strains, PAO1 and PA14 are common laboratory reference strains, modeling moderately and hyper-virulent phenotypes, respectively. PAO1 and PA14 have been instrumental in facilitating the discovery of novel drug targets, testing novel therapeutics, and supplying critical genomic information on the bacterium. While the two strains have contributed to a wide breadth of knowledge on the natural behaviors and therapeutic susceptibilities of P. aeruginosa, they have demonstrated significant deviations from observations in human infections. Many of these deviations are related to experimental inconsistencies in laboratory strain environment that complicate and, at times, terminate translation from laboratory results to clinical applications. This review aims to provide a comparative analysis of the two strains and potential methods to improve their clinical relevance.
Identification of genetic elements required for Listeria monocytogenes growth under limited nutrient conditions and virulence by a screening of transposon insertion library

Listeria monocytogenes, the causative agent of listeriosis, displays a lifestyle ranging from saprophytes in the soil to pathogenic as a facultative intracellular parasite in host cells. In the current study, a random transposon (Tn) insertion library was constructed in L. monocytogenes strain F2365 and screened to identify genes and pathways affecting in vitro growth and fitness in minimal medium (MM) containing different single carbohydrate as the sole carbon source. About 2,000 Tn-mutants were screened for impaired growth in MM with one of the following carbon sources: glucose, fructose, mannose, mannitol, sucrose, glycerol, and glucose 6-phosphate (G6P). Impaired or abolished growth of L. monocytogenes was observed for twenty-one Tn-mutants with disruptions in genes encoding purine biosynthesis enzymes (purL, purC, purA, and purM), pyrimidine biosynthesis proteins (pyrE and pyrC), ATP synthase (atpI and atpD2), branched-chain fatty acids (BCFA) synthesis enzyme (bkdA1), a putative lipoprotein (LMOF2365_2387 described as LP2387), dUTPase family protein (dUTPase), and two hypothetical proteins. All Tn-mutants, except the atpD2 mutant, grew as efficiently as wild-type strain in a nutrient rich media. The virulence of twenty-one Tn-mutants was assessed in mice at 72 h following intravenous (IV) infection. The most attenuated mutants had Tn insertions in purA, hypothetical protein (LMOf2365_0064 described as HP64), bkdA1, dUTPase, LP2387, and atpD2, confirming the important role of these genes in pathogenesis. Six Tn-mutants were then tested for ability to replicate intracellularly in murine macrophage J774.1 cells. Significant intracellular growth defects were observed in two Tn-mutants with insertions in purA and HP64 genes, suggesting that an intact purine biosynthesis pathway is important for intracellular growth of L. monocytogens. These findings may not be fully generalized to all of L. monocytogenes strains due to their genetic diversity. In conclusion, Tn-mutagenesis identified that biosynthesis of purines, pyrimidines, ATP, and BCFA are important for L. monocytogens pathogenesis. Purine and pyrimidine auxotrophs play an important role in the pathogenicity in other bacterial pathogens, but our study also revealed new proteins essential for both growth in MM and L. monocytogenes strain F2365 virulence.
Assessment of PGP traits of Bacillus cereus NDRMN001 and its influence on Cajanus cajan (L.) Millsp. phytoremediation potential on metal-polluted soil under controlled conditions

The current study looked at the plant growth-promoting (PGP) traits of the pre-isolated and metal-tolerant Bacillus cereus NDRMN001 as well as their stimulatory effect on the physiology, biomolecule content, and phytoremediation potential of Cajanus cajan (L.) Millsp. on metal-polluted soil. The bauxite mine, which is surrounded by farmland (1 km away), has been severely polluted by metals such as Cd (31.24 ± 1.68), Zn (769.57 ± 3.46), Pb (326.85 ± 3.43), Mn (2519.6 ± 5.71), and Cr (302.34 ± 1.62 mg kg−1) that exceeded Indian standards. The metal-tolerant B. cereus NDRMN001 had excellent PGP activities such as synthesis of hydrogen cyanide (HCN), siderophore, indole acetic acid (IAA), N2 fixation, and P solubilization. Furthermore, the optimal growth conditions (temperature of 30°C, pH 6.5, 6% glucose, 9% tryptophan, and 1.5% tricalcium phosphate) for effective synthesis and expression of PGP traits in B. cereus NDRMN001 were determined. Such metal-tolerant B. cereus NDRMN001 traits can significantly reduce metals in polluted soil, and their PGP traits significantly improve plant growth in polluted soil. Hence, this strain (B. cereus NDRMN001) significantly improved the growth and phytoremediation potential of C. cajan (L.) Millsp on metal-polluted soil without [study I: 2 kg of sieved and autoclaved metal-polluted soil seeded with bacterium-free C. cajan (L.) Millsp. seeds] and with [study II: 2 kg of sieved and autoclaved metal-polluted soil seeded with B. cereus NDRMN001-coated C. cajan (L.) Millsp. seeds] B. cereus NDRMN001 amalgamation. Fertile soil was used as control. The physiological parameters, biomolecule contents, and the phytoremediation (Cr: 7.74, Cd: 12.15, Zn: 16.72, Pb: 11.47, and Mn: 14.52 mg g−1) potential of C. cajan (L.) Millsp. were significantly effective in study II due to the metal-solubilizing and PGP traits of B. cereus NDRMN001. These results conclude that the test bacteria B. cereus NDRMN001 considerably improved the phytoremediation competence of C. cajan (L.) Millsp. on metal-polluted soil in a greenhouse study.
Improvement of GCC Congestion Control Algorithm in Streaming Media Transmission

With the advent of the 5G era, people have more and more needs for streaming media and real-time interactive applications with low delay and high bandwidth, while the transmission technology based on TCP is far from meeting the needs of real-time interaction. This paper studies the mainstream congestion control algorithm GCC in the field of real-time communication, as well as analyzes its overall structure, basic workflow and the calculation of key parameters. In view of the problem that the rate controller based on packet loss in GCC algorithm will reduce the transmission rate in the case of noise packet loss, GCC-BDP algorithm is improved and proposed.
A Nineteen-Beam Steering Pattern Reconfigurable Antenna Based on Quarter-Mode Substrate Integrated Waveguide

A pattern reconfigurable quarter-mode substrate integrated waveguide (QMSIW) antenna with a low profile is proposed in this communication. First, a slot is etched on a QMSIW cavity as a radiating element. Two cavity modes including a quarter mode (QM) and an eighth mode are utilized to obtain the enhanced bandwidth. Then, four quarters sharing the same edge metalized vias are placed in a back-to-back configuration. In this way, the antenna structure is very simple and compact. By choosing the corresponding feed port and phase, nineteen-beam steering including four single-fed tilted beams in total space quadrants (5.8 dBi, <inline-formula> <tex-math notation="LaTeX">$\theta _{\mathbf {max}} = 20^{\circ }$ </tex-math></inline-formula>), eight multifed tilted beams in total space quadrants (6.4 dBi, <inline-formula> <tex-math notation="LaTeX">$\theta _{\mathbf {max}} = 30^{\circ }$ </tex-math></inline-formula>), four double beams, one semidoughnut beam (3.9 dBi), one toroidal beam (1.1 dBi), and one axial beam (7.7 dBi) can be obtained. The antenna can operate at 2.5 GHz with a height of 1.5 mm (<inline-formula> <tex-math notation="LaTeX">$\lambda _{\mathbf {0}}$ </tex-math></inline-formula>/83).
Fullest COLREGs Evaluation Using Fuzzy Logic for Collaborative Decision-Making Analysis of Autonomous Ships in Complex Situations

Maritime Autonomous Surface Ships (MASSs) will reshape the fast-evolving ecosystem for their attractive socio-economic benefits and potential to improve safety. However, their new systems and technology need thorough verifications to identify unintended components of risk. The interaction between MASS cyber-physical systems and the existing regulatory framework is currently unpredictable; AI-powered intelligent situation awareness and autonomous navigation algorithms must safely and efficiently adhere to the regulations which are only designed for human interpretation without MASSs consideration. This paper contributes to algorithmic regulations and particularly algorithmic COLREGs in real-world MASS applications. It focuses on codifying COLREGs into a machine-executable system applicable to MASSs. This fullest COLREGs evaluation is modelled in form of a fuzzy expert system based on ordinary seamanship practice. The full input space spans 21 features derived from maneuverability-dependent risk, AIS traffic data, vessel information, maps and nautical charts, water-depth, visibility, and sea conditions. The model assesses pairwise vessel encounters over the full time-window of a situation from entrance to exit. 42 fuzzy rules are designed in 6 criteria that represent COLREGs Rules 2–19 and model their logical connections, priorities, and relationships. This algorithmic COLREGs form satisfies the crucial needs in simulation, collision-avoidance, complexity monitoring, and compliance quantification in MASS applications. The fullest COLREGs evaluation model is verified on a large database of historical encounters using real data from multiple sources.
Lyapunov-Based Approach to Sampled-Data Set Stabilization of Constrained Boolean Control Networks

Lyapunov functions for sampled-data set stabilization of constrained Boolean control networks (BCNs) are investi-gated in this paper. The main mathematical tool is semi-tensor product of matrices, which is used to convert the dynamics of constrained BCNs under nonuniform sampled-data control (SDC) into a switched Boolean network (BN). Using the techniques of Lyapunov function and average dwell time, several sufficient conditions are proposed for the global set stability of switched BN. The obtained results are applied to the Battle of Sex with 2-memory.
Extraction of main factors affecting muscle fatigue in lower-limb rehabilitation

This study extracted the main factors from a questionnaire, measurement results, and the analysis of sEMG signals to establish a method of evaluating muscle fatigue. Three measured factors (rating of perceived exertion, heart rate, mileage) and five factors obtained from the analysis of sEMG signals (root mean square, mean absolute value, variance, times of zero crossing, median frequency) were collected. After the F-test, the correlation analysis, and the principal component analysis, we finally extracted six factors as the main factors that have a big influence on muscle fatigue.
Fake News Detection Bot Using Machine Learning Model

News is an important aspect of our lives. It is useful in everyday life to broaden one’s understanding of what is going on in the globe. Word-of-mouth, prints, the attestation of event observers and eyewitnesses , and technical communications are all examples of how this may be accomplished. Business, politics, entertainment, health, environment, economy, fashion, and , as well as unusual occurrences, are all frequent subjects for news reporting. We’ve designed a mechanism to detect fake news to avoid this. Our system uses trusted news sources to check whether a claim submitted by the user is fake or not using feature extraction techniques and SVM-LR machine learning algorithms for classification purpose. We also prepared a novel dataset for the purpose of training our system by using web scraping online news articles and websites.