Miracle-dz/UniFAR-FTUs huggingface dataset:
Usefulness of serum CCL2 as prognostic biomarker in prostate cancer: a long-term follow-up study.

OBJECTIVE Prostate-specific antigen is considered the most useful biomarker for prostate cancer, but not in all cases. In a previous study, we have shown that a risk classification combining prostate-specific antigen ≥100 ng/mL and chemokine (CC motif) ligand 2 ≥ 320 pg/mL can predict survivals. We investigated the long-term usefulness of serum chemokine (CC motif) ligand 2 as a complementary biomarker to prostate-specific antigen and developed a novel risk classification system. METHODS Serum samples were collected from 379 patients who underwent prostate biopsy at Kanazawa University Hospital between 2007 and 2013, and 255 patients with histologically diagnosed prostate cancer were included in this study. We retrospectively examined the efficacy of serum chemokine (CC motif) ligand 2 as a prognostic biomarker. RESULTS Patients with chemokine (CC motif) ligand 2 ≥ 320 pg/mL exhibited a significantly shorter overall survival, prostate cancer-specific survival and castration-resistant prostate cancer-free survival than those with chemokine (CC motif) ligand 2 < 320 pg/mL. Multivariate analysis was performed to determine whether chemokine (CC motif) ligand 2 was a useful prognostic factor. Independent significant predictors of worse overall survival were prostate-specific antigen ≥ 100 ng/mL, Gleason score ≥ 8 and chemokine (CC motif) ligand 2 ≥ 320 pg/dL. Prognostic predictors of prostate cancer-specific survival or cancer-free survival in multivariate analysis were prostate-specific antigen ≥ 100 ng/mL and Gleason score ≥ 8. A novel risk classification system was created to predict overall survival in patients based on the number of risk factors present (chemokine (CC motif) ligand 2 ≥ 320 pg/mL, prostate-specific antigen ≥ 100 ng/mL, Gleason score ≥ 8). Scores 2 or 3, 1 and 0 indicated Poor, Intermediate and Good risk groups, respectively. CONCLUSIONS This study demonstrated the utility of serum chemokine (CC motif) ligand 2 level as a predictive biomarker of long-term overall survival in prostate cancer. A novel risk classification system that predicts long-term overall survival based on the combined indications of chemokine (CC motif) ligand 2 level, prostate-specific antigen level and Gleason score may be a useful prognostic tool for prostate cancer.
Rank Prosody Acoustic 1 Georgian Spanish 2 Azerbaijani Creole _ haitian 3 Hausa Ukrainian 4 Portuguese Bosnian 5 French Russian 6 Turkish Portuguese 7 Bulgarian Punjabi 8 Tagalog English _ Unknown 9 English _ Indian Amharic

Research in open-set language identification (LID) generally focuses more on accurate in-set modeling versus improved out-of-set (OOS) rejection. Unknown or OOS language rejection is a challenge, since research developers seldom commit equivalent OOS corpus development effort versus the desired in-set languages. To address this, we propose an OOS candidate selection method for universal OOS language coverage. Since effective selection always requires abundant knowledge of inter-language relationships, three broad measurements across world languages are considered. Finally, the advanced OOS selection method is evaluated on a database derived from a large-scale corpus (LRE-09) with a state-of-the-art i-Vector system followed by two back-ends. The baseline system is realized using a random selection of OOS candidates. With the proposed selection method and probabilistic linear discriminative analysis (PLDA) back-end, the OOS rejection performance is improved with false alarm and miss rates achieving a relative reduction of 32.6% and 4.4%, respectively. In addition, the overall classification performance are relatively improved 8.4% and 7.5% according to the two back-ends based on an average cost function.
House Level Latent Classes as Predictors of Recovery and Evictions

ABSTRACT The current study explored whether substance abuse recovery houses could be categorized into meaningful classes, which might be associated with house evictions as well as changes in individual-level recovery capital. A total of 602 individuals from 42 recovery homes were followed for up to 6 data collection periods over 2 years. House level latent class analyses were based on house-level data. A 3-class model fit very well (entropy 0.94) and better than a 2-class model. Class profiles examined concurrent (averaged across waves 1 and 2) house and resident-level variables (e.g., gender, race, age, employment, education). Class was then used to prospectively predict outcomes of the hazard of eviction and improvement in a recovery index over waves 3–6. One latent class representing 45% of the recovery houses had the highest density of members willing to loan, able to pay their rent, active involvement in outside chapter activities–this group of houses had the best outcomes including the lowest eviction rate and highest mean recovery factor. The two other classes had higher eviction rates, with one having the lowest density of friendship, selectivity of residents, and ability to pay rent. The other of the higher eviction-rate classes surprisingly had the highest density of friendship and advice seeking, but the lowest density of willingness to loan. These findings suggest that there are meaningful differences in types of recovery homes, and that house characteristics appear to influence recovery changes and eviction outcomes.
Structural violence within communities and its impact on the well-being of people with HIV (PWH)

ABSTRACT Structural violence (SV) is the concept that there are often invisible and intangible structures in place, whether political, economic, legal, cultural, religious, or social, that can inhibit individuals from reaching their full potential. There is a need to better understand the influence of SV on the well-being of people with HIV (PWH) in the Deep South. To address this gap in the literature, we interpreted data using a Structural Violence framework. In this community-based participatory research, in-depth interviews (n = 40) were conducted with PWH who previously established HIV medical care. In our study, we found that SV can have a widespread impact in communities, negatively impacting access to key tangible and emotional resources. SV themes included community crime and instability, financial insecurity, and disparate access to numerous resources known to influence health. Structures exacerbating unequal access to resources appear engrained within communities and often went unrecognized by participants as disadvantageous to achieving optimal HIV health. Greater effort is necessary to elucidate the influence and role of violent structures on access to key resources for and by PWH. A clearer understanding of SV’s influence on HIV health can inform changes addressing these structural barriers to HIV health.
Heat switch technology for cryogenic thermal management

Systematic review is given of development of novel heat switches at cryogenic temperatures that alternatively provide high thermal connection or ideal thermal isolation to the cold mass. These cryogenic heat switches are widely applied in a variety of unique superconducting systems and critical space applications. The following types of heat switch devices are discussed: 1) magnetic levitation suspension, 2) shape memory alloys, 3) differential thermal expansion, 4) helium or hydrogen gap-gap, 5) superconducting, 6) piezoelectric, 7) cryogenic diode, 8) magneto-resistive, and 9) mechanical demountable connections. Advantages and limitations of different cryogenic heat switches are examined along with the outlook for future thermal management solutions in materials and cryogenic designs.
Fusion of inertial and visual information for indoor localisation

Indoor localisation has attracted a lot of attention because of its importance for location-based services. A fusion algorithm (named as YELM-DS) based on extreme learning machine (ELM) and Dempster–Shafer (D–S) evidence theory is proposed. ELM learns the input data model composed of inertial and visual information and target output positions with high speed. During online phase, the final localisation result of a frame is decided by the trust degree obtained from D–S. Angle judgments are also introduced to decrease the big localisation errors of turning. Compared with the existing vision-only methods, the proposed method can both run in real time and achieve good localisation accuracy even in challenging scenarios.
Chemical Characterization and Molecular Dynamics Simulations of Bufotenine by Surface-Enhanced Raman Scattering (SERS) and Density Functional Theory (DFT)

Bufotenine (5-hydroxy-N,N-dimethyltryptamine) is a natural tryptamine derivative with hallucinogenic activity. In this paper, we present novel chemical and molecular conformational analyses of bufotenine based on an experimental and theoretical approach integrating surface-enhanced Raman scattering (SERS) and density functional theory (DFT). For the first time, low concentrations of bufotenine in acetonitrile solutions were analyzed by SERS using two types of silver nanoparticle substrates synthesized via one- or two-step reduction processes. The vibrational characteristics of this molecule were verified by molecular dynamics simulations of Raman bands based on DFT. Here we demonstrate the potential of this integrated approach for the identification of bufotenine, a prominent hallucinogenic agent, establishing an innovative rapid and accurate sensing and characterization method of the identification of controlled substances at trace amounts.
A Validated Set of Ascorbate Peroxidase-Based Organelle Markers for Electron Microscopy of Saccharomyces cerevisiae

Yeast is an excellent single cellular model system for studying basic cellular processes. However, yeast cells are much smaller than most animal and plant cells, making the observation and recognition of yeast subcellular structures challenging. Here we developed a set of yeast organelle markers for use in electron microscopy and documented our technical approach for using this method. ABSTRACT Genetically encoded tags, such as engineered ascorbate peroxidase APEX2, offer unique advantages for the specific labeling of subcellular structures in electron microscopy (EM). However, the use of APEX2 in EM investigation of yeast has been limited. Here we describe the development of APEX2-based organelle markers for Saccharomyces cerevisiae. We found that with regard to APEX2 -catalyzed formation of diaminobenzidine precipitation, cell wall removal was not essential during sample preparation, yet the presence of fluorescent proteins in APEX2 chimeras had a negative impact. We showed that major organelles including endoplasmic reticulum, early Golgi, late Golgi/early endosomes, late endosomes, mitochondria, peroxisomes, and lipid droplets could be labeled by appropriate APEX2 chimeras. The subcellular localization of our APEX2 chimeras was verified by EM visualization and supplemented with immunofluorescence colocalization analysis when necessary, validating their feasibility as organelle markers. IMPORTANCE Yeast is an excellent single cellular model system for studying basic cellular processes. However, yeast cells are much smaller than most animal and plant cells, making the observation and recognition of yeast subcellular structures challenging. Here we developed a set of yeast organelle markers for use in electron microscopy and documented our technical approach for using this method.
Structure of Senecavirus A 3C Protease Revealed the Cleavage Pattern of 3C Protease in Picornaviruses

Picornaviridae is a group of RNA viruses that harm both humans and livestock. 3Cpro is an essential enzyme for picornavirus maturation, which makes it a promising target for antiviral drug development and a critical component for virus-like particle (VLP) production. However, the current challenge in the development of antiviral drugs and VLP vaccines includes the limited knowledge of how subsite structure determines the 3Cpro cleavage pattern. ABSTRACT Senecavirus A (SVA) is an emerging picornavirus infecting porcine of all age groups and causing foot and mouth disease (FMD)-like symptoms. One of its key enzymes is the 3C protease (3Cpro), which is similar to other picornaviruses and essential for virus maturation by controlling polyprotein cleavage and RNA replication. In this study, we reported the crystal structure of SVA 3Cpro at a resolution of 1.9 Å and a thorough structural comparison against all published picornavirus 3Cpro structures. Using statistical and graphical visualization techniques, we also investigated the sequence specificity of the 3Cpro. The structure revealed that SVA 3Cpro adopted a typical chymotrypsin-like fold with the S1 subsite as the most conservative site among picornavirus 3Cpro. The surface loop, A1-B1 hairpin, adopted a novel conformation in SVA 3Cpro and formed a positively charged protrusion around S' subsites. Correspondingly, SVA scissile bonds preferred Asp rather than neutral amino acids at P3' and P4'. Moreover, SVA 3Cpro showed a wide range tolerance to P4 residue volume (acceptable range: 67 Å3 to 141 Å3), such as aromatic side chain, in contrast to other picornaviruses. In summary, our results provided valuable information for understanding the cleavage pattern of 3Cpro. IMPORTANCE Picornaviridae is a group of RNA viruses that harm both humans and livestock. 3Cpro is an essential enzyme for picornavirus maturation, which makes it a promising target for antiviral drug development and a critical component for virus-like particle (VLP) production. However, the current challenge in the development of antiviral drugs and VLP vaccines includes the limited knowledge of how subsite structure determines the 3Cpro cleavage pattern. Thus, an extensive comparative study of various picornaviral 3Cpro was required. Here, we showed the 1.9 Å crystal structure of SVA 3Cpro. The structure revealed similarities and differences in the substrate-binding groove among picornaviruses, providing new insights into the development of inhibitors and VLP.
Ecosystem CO2 release driven by wind occurs in drylands at global scale

Subterranean ventilation is a non‐diffusive transport process that provokes the abrupt transfer of CO2‐rich air (previously stored) through water‐free soil pores and cracks from the vadose zone to the atmosphere, under high‐turbulence conditions. In dryland ecosystems, whose biological carbon exchanges are poorly characterized, it can strongly determine eddy‐covariance CO2 fluxes that are used to validate remote sensing products and constrain models of gross primary productivity. Although subterranean ventilation episodes (VE) may occur in arid and semi‐arid regions, which are unsung players in the global carbon cycle, little research has focused on the role of VE CO2 emissions in land–atmosphere CO2 exchange. This study shows clear empirical evidence of globally occurring VE. To identify VE, we used in situ quality‐controlled eddy‐covariance open data of carbon fluxes and ancillary variables from 145 sites in different open land covers (grassland, cropland, shrubland, savanna, and barren) across the globe. We selected the analyzed database from the FLUXNET2015, AmeriFlux, OzFlux, and AsiaFlux networks. To standardize the analysis, we designed an algorithm to detect CO2 emissions produced by VE at all sites considered in this study. Its main requirement is the presence of considerable and non‐spurious correlation between the friction velocity (i.e., turbulence) and CO2 emissions. Of the sites analyzed, 34% exhibited the occurrence of VE. This vented CO2 emerged mainly from arid ecosystems (84%) and sites with hot and dry periods. Despite some limitations in data availability, this research demonstrates that VE‐driven CO2 emissions occur globally. Future research should seek a better understanding of its drivers and the improvement of partitioning models, to reduce uncertainties in estimated biological CO2 exchanges and infer their contribution to the global net ecosystem carbon balance.
Association between placenta accreta spectrum and third‐trimester serum levels of vascular endothelial growth factor, placental growth factor, and soluble Fms‐like tyrosine kinase‐1: A meta‐analysis

Antenatal suspicion of placenta accreta spectrum (PAS) currently relies on ultrasonographic findings, color doppler, and MRI, which have rendered it operator and expertise‐dependent. No serum markers for PAS have been integrated into clinical practice yet. The aim of this meta‐analysis was to identify potential serum markers for PAS by investigating third‐trimester serum levels of vascular endothelial growth factor (VEFG), placental growth factor (PIGF), and soluble Fms‐like tyrosine kinase‐1 (sFlt‐1) among PAS‐cases and controls.
The Impact of Insulin Resistance on Hepatic Fibrosis among United States Adults with Non-Alcoholic Fatty Liver Disease: NHANES 2017 to 2018

Background We aimed to investigate the association of hepatic steatosis with liver fibrosis and to assess the interactive effects of hepatic steatosis and insulin resistance on liver fibrosis in a nationally representative sample of United States adults. Methods We conducted a cross-sectional analysis using data from National Health and Nutrition Examination Survey 2017 to 2018, which for the first time included transient elastography to assess liver stiffness and hepatic steatosis. We evaluated the association between hepatic steatosis (using controlled attenuation parameter [CAP]) and clinically significant liver fibrosis (defined as liver stiffness ≥7.5 kPa) using logistic regression with an interaction term for hepatic steatosis and insulin resistance (defined as homeostatic model assessment of insulin resistance ≥3.0). Results Among adults undergoing transient elastography (n=2,023), 45.9% had moderate or greater hepatic steatosis and 11.3% had clinically significant liver fibrosis. After adjustment for demographic and metabolic factors, the odds of significant liver fibrosis increased as CAP score rose (odds ratio, 1.35 per standard deviation increment; 95% confidence interval, 1.11 to 1.64). We detected a significant interaction effect between CAP score and insulin resistance on the probability of significant liver fibrosis (P=0.016 for interaction). The probability of significant liver fibrosis increased in the presence of insulin resistance with increasing CAP score, while those without insulin resistance had low probability of significant liver fibrosis, even with high CAP scores. Conclusion Individuals with hepatic steatosis had higher odds of fibrosis when insulin resistance was present. Our findings emphasize the importance of the metabolic aspects of the disease on fibrosis risk and suggest a need to better identify patients with metabolic associated fatty liver disease.
Experiences of patients with fibromyalgia at a Finnish Health Centre: A qualitative study

Abstract Background Fibromyalgia is a functional syndrome. Despite recent findings, there is still considerable uncertainty about its diagnostic process. Objectives This study aimed to explore patients’ experiences with fibromyalgia during the diagnostic process in primary health care. Moreover, we tried to determine how diagnostic consultation could be improved. Methods This study is based on data from patients with fibromyalgia in a primary health care study conducted in Nokia, Finland. Patients with fibromyalgia were identified from electronic medical records. Focus-group participants with fibromyalgia diagnoses were selected using a purposive sampling method to gather a maximum variation sample. Qualitative thematic analysis was used for the coded data from four focus-group discussions in 2018. A description of the coding tree was provided and researchers organised the codes. Finally, all researchers identified themes from the data. Results The main unifying entities were the uncertainty and contradictions fibromyalgia patients faced on several occasions. Physicians sometimes offered other diagnoses – like depression – as an explanation for the symptoms, or used repetitive tests to eliminate other possible diagnoses. Furthermore, patients expressed their wishes for a holistic, empathetic, and up-to-date approach to their symptoms. Conclusion In our interviews, a good doctor-patient relationship and continuity of care were necessary, as were the physician’s attitude and knowledge of fibromyalgia. Our findings also suggest avoiding repeated or unnecessary rule-out tests and the overdiagnosis of psychiatric disorders is necessary.
Endovascular thrombectomy with or without intravenous alteplase for acute ischemic stroke due to large vessel occlusion: a systematic review and meta-analysis of randomized trials

Background Among patients who had an ischaemic stroke presenting directly to a stroke centre where endovascular thrombectomy (EVT) is immediately available, there is uncertainty regarding the role of intravenous thrombolysis agents before or concurrently with EVT. To support a rapid guideline, we conducted a systematic review and meta-analysis to examine the impact of EVT alone versus EVT with intravenous alteplase in patients who had an acute ischaemic stroke due to large vessel occlusion. Methods In November 2021, we searched MEDLINE, Embase, PubMed, Cochrane, Web of Science, clincialtrials.gov and the ISRCTN registry for randomised controlled trials (RCTs) comparing EVT alone versus EVT with alteplase for acute ischaemic stroke. We conducted meta-analyses using fixed effects models and assessed the certainty of evidence using the GRADE approach. Results In total 6 RCTs including 2334 participants were eligible. Low certainty evidence suggests that, compared with EVT and alteplase, there is possibly a small decrease in the proportion of patients independent with EVT alone (risk ratio (RR) 0.97, 95% CI 0.89 to 1.05; risk difference (RD) −1.5%; 95% CI −5.4% to 2.5%), and possibly a small increase in mortality with EVT alone (RR 1.07, 95% CI 0.88 to 1.29; RD 1.2%, 95% CI −2.0% to 4.9%) . Moderate certainty evidence suggests that there is probably a small decrease in symptomatic intracranial haemorrhage (sICH) with EVT alone (RR 0.75, 95% CI 0.52 to 1.07; RD −1.0%; 95%CI −1.8% to 0.27%). Conclusions Low certainty evidence suggests that there is possibly a small decrease in the proportion of patients that achieve functional independence and a small increase in mortality with EVT alone. Moderate certainty evidence suggests that there is probably a small decrease in sICH with EVT alone. The accompanying guideline provides contextualised guidance based on this body of evidence. PROSPERO registration number CRD42021249873.
The relationship of socio-demographic factors and patient attitudes to connected health technologies: A survey of stroke survivors

More evidence is needed on technology implementation for remote monitoring and self-management across the various settings relevant to chronic conditions. This paper describes the findings of a survey designed to explore the relevance of socio-demographic factors to attitudes towards connected health technologies in a community of patients. Stroke survivors living in the UK were invited to answer questions about themselves and about their attitudes to a prototype remote monitoring and self-management app developed around their preferences. Eighty (80) responses were received and analysed, with limitations and results presented in full. Socio-demographic factors were not found to be associated with variations in participants’ willingness to use the system and attitudes to data sharing. Individuals’ levels of interest in relevant technology was suggested as a more important determinant of attitudes. These observations run against the grain of most relevant literature to date, and tend to underline the importance of prioritising patient-centred participatory research in efforts to advance connected health technologies.