Miracle-dz/UniFAR-FTUs huggingface dataset:
Neurobiological and pharmacological arguments for customization of cognitive behavioral psychotherapy in the treatment of major depressive disorder

Introduction: Depression represents a public health issue because it significantly increases the risk of disabilities and premature mortality, decreases the quality of life, and increases the costs of care. The incomplete remissions favor the aggravation of neurobiological dysfunctions and pathogenesis of severe somatic comorbidities. The etiopathogenic mechanisms of depression are complex and involve multisystemic risk factors (genetic, neuroanatomic, neurobiochemical, neuroendocrine and psychosocial). Cognitive behavioral therapy (CBT) is used in all the stages of depression, as independent therapeutic method or as support of pharmacotherapy. Patients, Materials and Methods: This study has evaluated the therapeutic response of depression in M (medication) group with 136 patients under pharmacotherapy, compared with P (psychotherapy and medication) group with 137 patients treated simultaneously with medication and CBT, and the factors that can improve therapeutic management. Results: Patients with depression had predominantly a reactive onset, recurrent evolution of at least four episodes, and frequent somatic comorbidities. After treatment, a significant improvement of depressive symptomatology was recorded especially in M group (72.06%), compared to P group (88.32%), p<0.01, as well as a significant difference in regaining functional skills (69.12% – M group, 93.43% – P group; p<0.001). The therapeutic response was significantly correlated with age (p<0.01), social-economical involvement and education level. Conclusions: CBT demonstrated efficiency in the treatment of major depressive disorder in association with pharmacotherapy. The therapeutic approach should rely on the pathogenic biological models that would highlight the prediction indicators for the therapeutic response and for the evolution of depression, as well as considering the psychological profile of each patient.
Digital detection and optimization design for resonant fiber optic gyroscope

A closed-loop digital detection system in resonant fiber gyro by two frequencies modulation based on DSP chip is proposed. In this system, the sinusoidal signal of its fundamental frequency is extracted from the output light intensity signal of the detector by use of band-pass filter. The noise is eliminated by using correlative detection principle. The DC component, proportional to the light intensity of detector output, is extracted by low-pass filter and converted into corresponding resonant frequency difference, and then the angle rotating speed of the gyroscope can be calculated based on such frequency difference. The detection circuit of this system is simple and the operation is convenient. The processing speed of this system has been greatly improved due to application of. DSP chip. Moreover, the optimization design for the filter parameters of the detection system is realized by Matlab software, thus improving the detection accuracy of the system.
Skilled Nursing Facility Care at Home for Adults Discharged From the Hospital: A Pilot Randomized Controlled Trial

Objectives The ability to deliver SNF-level care at home is unclear. We sought to demonstrate the feasibility of rehabilitation at home (RAH) via a pilot randomized controlled trial. Methods Daily care from a home health aide, certified nursing assistant, nurse, and physician. Core technologies included remote PT, automated medication dispensing, and continuous monitoring. Primary outcome: episode cost. Results We randomized 10 patients. Home patients’ episode cost a median $8404 (IQR, $2697) versus $9215 (IQR, $5702). LOS for both was 14 days. Home patients’ ADLs improved between admission and 30-days post-discharge by median 4 (IQR, 5) versus 1 (IQR, 2). Home patients’ median Picker patient experience score was 12/14 (IQR, 2) versus 7/14 (IQR, 3). Discussion A RAH pilot compared favorably to traditional SNF, with trends toward lower cost, greater functional status improvement, and better patient experience. This delivery innovation could reimagine how we deliver post-acute care but requires replication. Clinicaltrials.gov registration NCT04048590.
Hybridization fuelled diversification in Spialia butterflies

The importance of hybridization and introgression is well documented in the evolution of plants but, in insects, their role is not fully understood. Given the fact that insects are the most diverse group of organisms, assessing the impact of reticulation events on their evolution may be key to comprehend the emergence of such remarkable diversity. Here, we used an insect model, the Spialia butterflies, to gather genomic evidence of hybridization as a promoter of novel diversity. By using double‐digest RADseq (ddRADseq), we explored the phylogenetic relationships between Spialia orbifer, S. rosae and S. sertorius, and documented two independent events of interspecific gene flow. Our data support that the Iberian endemism S. rosae probably received genetic material from S. orbifer in both mitochondrial and nuclear DNA, which could have contributed to a shift in the ecological preferences of S. rosae. We also show that admixture between S. sertorius and S. orbifer probably occurred in Italy. As a result, the admixed Sicilian populations of S. orbifer are differentiated from the rest of populations both genetically and morphologically, and display signatures of reproductive character displacement in the male genitalia. Additionally, our analyses indicated that genetic material from S. orbifer is present in S. sertorius along the Italian Peninsula. Our findings add to the view that hybridization is a pervasive phenomenon in nature and in butterflies in particular, with important consequences for evolution due to the emergence of novel phenotypes.
Behavioural approaches to recruitment and retention in clinical trials: a systematic mapping review

Objectives To identify studies that applied behavioural approaches to issues of recruitment and/or retention to trials; to describe these approaches; and to identify gaps for future research. Design Systematic mapping review of research undertaken in clinical trials within peer-reviewed sources. Review participants were individuals involved in clinical trials, including trial staff, participants, potential participants and former participants. Data sources MEDLINE, EMBASE, CINAHL, ERIC, PsycINFO, Web of Science and ASSIA from inception to 15 January 2020 with no date or language restrictions. Eligibility criteria Studies within the context of clinical trials reporting the barriers/facilitators to recruitment and retention, or developing/evaluating solutions to said barriers/facilitators, using a behavioural approach. Results 31 articles were included. Recruitment-focused studies (n=22, 71%) represented the majority. Studies tended to focus on participant behaviours (n=22, 71%). Underserved populations (n=11, 35%) were a notable subset of studies. Most studies (n=23, 74%) were exploratory but those that evaluated interventions (n=8, 26%) often did so within underserved populations (n=6). A majority of studies (n=30, 97%) did not specify their behaviours consistent with guidelines from behavioural scientists. The most used approaches were social cognitive theory (n=8, 26%), the theory of planned behaviour (n=6, 19%) and the theoretical domains framework (n=5, 16%). Conclusions A range of behavioural approaches have been applied to recruitment and retention to trials. The multitude of recruitment research here is consistent with trials research generally and emphasises the need for research into retention. Authors report target behaviours minimally, which is not conducive to replication. Further research should build on lessons here, such as clearly specifying behaviours. Increased methodological rigour and transparency will lead to robust evidence bases and less research waste in poor recruitment and retention. Overall, trials informed by behavioural approaches promises to be efficient and more participant focused.
Diagnostic and prognostic significance of hepatic steatosis in patients with chronic hepatitis C

Knowing that hepatic steatosis (HS) is a common occurrence in patients with chronic hepatitis C (CHC), it is essential to establish what are the factors that predispose to its occurrence and what is the role of HS in the evolution and prognosis of patients with CHC who develop this feature. To achieve these aims, we performed a retrospective clinical study in 33 patients with CHC hospitalized, diagnosed, and monitored in the 2nd Medical Department of the Emergency County Hospital, Craiova, Romania, in a period of two years (2011–2012). Following clinical, hematological, biochemical, immunological, and pathological investigations of the 33 patients with CHC selected, only 14 patients showed pathological changes of the HS. The appearance of steatosis in patients with CHC results from a complex interaction between the particularities of the host and viral factors. The main risk factors of the host, which contributed to the appearance of HS were sex, age, body mass index (BMI), body weight, and personal history of pathology (obesity, metabolic syndrome). Virus-related factors involved in HS were viremia and viral genotype. In conclusion, HS is a common finding (42.42%) in patients with CHC, particularly genotypes 1 and 2. Early detection of HS by invasive or non-invasive methods is an important objective of monitoring patients with CHC, because HS is correlated with a high degree of fibrosis. Therefore, early correction of metabolic factors and early introduction of antiviral therapy are important targets for treating of patients with CHC.
Conducting Bayesian-Classical Hybrid Power Analysis with R Package Hybridpower

Abstract There are several approaches to incorporating uncertainty in power analysis. We review these approaches and highlight the Bayesian-classical hybrid approach that has been implemented in the R package hybridpower. Calculating Bayesian-classical hybrid power circumvents the problem of local optimality in which calculated power is valid if and only if the specified inputs are perfectly correct. hybridpower can compute classical and Bayesian-classical hybrid power for popular testing procedures including the t-test, correlation, simple linear regression, one-way ANOVA (with equal or unequal variances), and the sign test. Using several examples, we demonstrate features of hybridpower and illustrate how to elicit subjective priors, how to determine sample size from the Bayesian-classical approach, and how this approach is distinct from related methods. hybridpower can conduct power analysis for the classical approach, and more importantly, the novel Bayesian-classical hybrid approach that returns more realistic calculations by taking into account local optimality that the classical approach ignores. For users unfamiliar with R, we provide a limited number of RShiny applications based on hybridpower to promote the accessibility of this novel approach to power analysis. We end with a discussion on future developments in hybridpower.
Integrative global co-expression analysis identifies Key MicroRNA-target gene networks as key blood biomarkers for obesity.

Obesity is associated with the quantitative changes in miRNAs and their target genes. However, the molecular basis of their dysregulation and expression status correlations is incompletely understood. Therefore, this study aims to examine the shared differentially expressed miRNAs and their target genes between blood and adipose tissues of obese individuals to identify potential blood-based biomarkers. In this study, 3 gene expression datasets (two mRNA and one miRNA), generated from blood and adipose tissues of 68 obese and 39 lean individuals, were analyzed by a series of robust computational concepts, like protein interactome mapping, functional enrichment of biological pathways and construction of miRNA-mRNA and transcription factor gene networks. The comparison of blood versus tissue datasets has revealed the shared differential expression of 210 genes (59.5% upregulated) involved in lipid metabolism and inflammatory reactions. The blood miRNA (GSE25470) analysis has identified 79 differentially expressed miRNAs (71% downregulated). The miRNA-target gene scan identified regulation of 30 shared genes by 22miRNAs. The gene network analysis has identified the inverse expression correlation between 8 target genes (TP53, DYSF, GAB2, GFRA2, NACC2, FAM53C, JNK and GAB2) and 3 key miRNAs (hsa-mir-940, hsa-mir-765, hsa-mir-612), which are further regulated by 24 key transcription factors. This study identifies potential obesity related blood biomarkers from largescale gene expression data by computational miRNA-target gene interactome and transcription factor network construction methods.
Analgesic Effect of Intravenous Nefopam for Postoperative Pain in Minimally Invasive Spine Surgery: A Randomized Prospective Study

Study Design Randomized double-blind control study. Purpose To evaluate the effects of nefopam on reducing morphine consumption and postoperative pain in patients undergoing minimally invasive spine surgery (MISS) and to evaluate its effects on enhanced recovery after spine surgery. Overview of Literature Enhanced recovery after surgery (ERAS) has become a major goal for spine surgery. Multimodal pain management combining non-opioid analgesics is a key element of this. However, there is little evidence regarding the use of nefopam in spine surgery as part of an ERAS protocol. Methods One hundred patients undergoing MISS were randomized into two groups. Patients in the nefopam group received 20 mg of intravenous nefopam diluted in 100 mL of normal saline intraoperatively, followed by 80 mg of nefopam diluted in 500 mL of normal saline, given as a continuous infusion postoperatively for 24 hours. The control group received an identical volume of normal saline. Postoperative pain was managed by patient-controlled analgesia in the form of intravenous morphine. Morphine consumption in the first 24 hours was recorded as a primary outcome. Secondary outcomes regarding ERAS were also collected. Results There were no significant differences in either total morphine consumption or postoperative pain score in the first 24 hours postoperatively between patients receiving nefopam and the control group. Morphine consumption in patients receiving nefopam was 13.54±10.64 mg compared with 15.86±16.2 mg in the control group (p=0.41). Time to postanesthetic care unit discharge, times to first sitting and walking, length of hospital stay, as well as duration of Foley catheter use and time until drain removal were also similar. There were no serious adverse effects of nefopam compared with normal saline. Conclusions Nefopam did not significantly reduce opioid consumption or postoperative pain score. Adding nefopam as part of multimodal analgesia did not show beneficial effects for enhancing recovery after spine surgery.
Predictive value of serial evaluation of the Sequential Organ Failure Assessment (SOFA) score for intensive care unit mortality in critically ill patients with COVID-19: a retrospective cohort study

Background The Sequential Organ Failure Assessment (SOFA) score has been developed to score the severity of organ dysfunction in critically ill sepsis patients and has been proven to have a high predictive value for intensive care unit (ICU) mortality in severely ill patients. Our goal was to evaluate the prognostic value of the SOFA score as well as trends in SOFA score for ICU mortality in COVID-19 patients. Methods All consecutive patients with confirmed COVID-19 pneumonia admitted to the ICU between March 13th, 2020, and October 17th, 2020 were included in this retrospective cohort study. The worst SOFA score was evaluated daily. Multiple logistic regression models were used to evaluate the predictive value of SOFA in ICU mortality. Results 103 patients were included in this study. 30 patients (29%) died during their ICU stay and 73 (71%) patients were discharged alive. The ICU admission SOFA score was 5.2 ± 3.3 in ICU non-survivors vs. 4.3 ± 2.9 in ICU survivors (P = 0.15). The maximum SOFA score in ICU non-survivors was 11.7 ± 4.7 vs. 7.4 ± 4.3 in ICU survivors. SOFA scores increased the first week in both survivors and non-survivors, but the increase was less pronounced in survivors. In the multiple logistic regression models, neither admission SOFA score nor combination with delta SOFA in the first 48 hours was statistically significantly related to ICU mortality. Only the maximum SOFA score remained significant (OR = 1.23, 95% CI: 1.11–1.37, P < 0.001) in the multiple logistic models with an AUC of 0.91. Conclusions Evaluation of SOFA scores in the first 48 hours after ICU admission is not a good prognostic indicator in COVID-19 patients. Only the maximum SOFA score was predictive for ICU mortality.
Evaluation of Modulatory Activities of Lactobacillus crispatus Strains in the Context of the Vaginal Microbiota

The human vaginal microbiota includes all microorganisms that colonize the vaginal tract. In this context, a vaginal microbiota dominated by Lactobacillus and specifically by Lactobacillus crispatus is considered a hallmark of health. ABSTRACT It has been widely reported that members of the genus Lactobacillus dominate the vaginal microbiota, which is represented by the most prevalent species Lactobacillus crispatus, Lactobacillus jensenii, Lactobacillus gasseri, and Lactobacillus iners. L. crispatus is furthermore considered an important microbial biomarker due to its professed beneficial implications on vaginal health. In order to identify molecular mechanisms responsible for health-promoting activities that are believed to be elicited by L. crispatus, we performed in silico investigations of the intraspecies biodiversity of vaginal microbiomes followed by in vitro experiments involving various L. crispatus strains along with other vaginal Lactobacillus species mentioned above. Specifically, we assessed their antibacterial activities against a variety of pathogenic microorganisms that are associated with vaginal infections. Moreover, coculture experiments of L. crispatus strains showing the most antibacterial activity against different pathogens revealed distinct ecological fitness and competitive properties with regard to other microbial colonizers. Interestingly, we observed that even phylogenetically closely related L. crispatus strains possess unique features in terms of their antimicrobial activities and associated competitive abilities, which suggests that they exert marked competition and evolutionary pressure within their specific environmental niche. IMPORTANCE The human vaginal microbiota includes all microorganisms that colonize the vaginal tract. In this context, a vaginal microbiota dominated by Lactobacillus and specifically by Lactobacillus crispatus is considered a hallmark of health. The role of L. crispatus in maintaining host health is linked to its modulatory activity toward other members of the vaginal ecosystem and toward the host. In this study, in vitro experiments followed by genetic analyses of the mechanisms used by L. crispatus in colonizing the vaginal ecological niche, particularly in the production of different antimicrobial compounds, were evaluated, highlighting some intriguing novel aspects concerning the genetic variability of this species. Our results indicate that this species has adapted to its niche and may still undergo adaptation to enhance its competitiveness for niche colonization.
Hypertension induces compensatory left ventricular hypertrophy by a mechanism involving gap junction lateralization and overexpression of CD36, PKC and MMP-2

Hypertension-induced left ventricular hypertrophy evolves initially as an adaptive response meant to minimize ventricular wall stress. The mechanisms involved in the preservation of the cardiac function during the “compensatory” phase of the left ventricular hypertrophy are still unclear. Therefore, we aimed at uncovering fine changes that aid the heart to cope with the increased stress in hypertension. Male golden Syrian hamsters were given NG-nitro-L-arginine methyl ester (L-NAME) for 16 weeks, and they became hypertensive (HT), developing left ventricular hypertrophy with no impaired contractility or fibrosis. As compared to age-matched control hamsters, the hypertrophied left ventricles in L-NAME-induced HT hamsters exhibited the following structural and molecular changes: (i) accumulation of lipid droplets (LDs) within cardiomyocytes and relocation of gap junctions to the lateral membrane of cardiomyocytes or close to mitochondria (revealed by electron microscopy); (ii) overexpression of the cluster of differentiation 36 (CD36) fatty acid transporter, protein kinase C (PKC), and matrix metalloproteinase-2 (MMP-2), enhanced activation of the phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) pathway, and unchanged expression of the connexin 43 (Cx43) and N-cadherin junctional proteins (assessed by Western blot); (iii) increased protein carbonyl content, assessed with a 2,4-Dinitrophenylhydrazine (DNPH)-based spectrophotometric assay, indicative of an enhanced reactive oxygen species (ROS) production; and (iv) augmented MMP-2 activity (determined by gelatin zymography). These changes may participate in an orchestrated adaptive hypertrophic growth response that helps to maintain cardiac performance, in HT hamsters. Together, these findings could provide support for designing future strategies meant to prevent the transition from compensatory left ventricular hypertrophy to decompensated heart failure.
The role of journalistic voice in communicating climate scepticism

This brief study investigates the subtle ways that language can be used to subconsciously shape a reader’s opinions about climate science within conservative news texts. To do so, our study employed techniques from critical discourse analysis to highlight the role of ‘journalistic voice’ and consider the granular linguistic techniques these outlets may use to subliminally validate sceptical viewpoints, while casting doubt on those espousing the consensus position. We found that certain semantic structures used in conservative climate reporting can take an otherwise apolitical analysis of climate issues, and potentially guide readers to a reactionary conclusion. Our analysis arrived at this position after undertaking a critical discourse analysis of the ways in which sceptical and non-sceptical climate ‘experts’ have been framed by Australia’s largest conservative broadsheet newspaper, News Corp’s The Australian, in the period after it changed its official position on climate to one of accepting the consensus view.
Machine learning approach to identify adverse events in scientific biomedical literature

Monitoring the occurrence of adverse events in the scientific literature is a mandatory process in drug marketing surveillance. This is a very time‐consuming and complex task to fulfill the compliance and, most importantly, to ensure patient safety. Therefore, a machine learning (ML) algorithm has been trained to support this manual intellectual review process, by automatically providing a classification of the literature articles into two types. An algorithm has been designed to automatically classify “relevant articles” which are reporting any kind of drug safety relevant information, and those which are not reporting an adverse drug reaction as “not relevant. ” The review process is consisted of many rules and aspects which needed to be taken into consideration. Therefore, for the training of the algorithm, thousands of documents from previous screenings have been used. After several iterations of adjustments and fine tuning, the ML approach is definitively a great achievement in pre‐sorting the articles into “relevant” and “non‐relevant” and supporting the intellectual review process.