Miracle-dz/UniFAR-FTUs huggingface dataset:
Rethinking the course of psychotic disorders: modelling long-term symptom trajectories

Abstract Background The clinical course of psychotic disorders is highly variable. Typically, researchers have captured different course types using broad pre-defined categories. However, whether these adequately capture symptom trajectories of psychotic disorders has not been fully assessed. Using data from AESOP-10, we sought to identify classes of individuals with specific symptom trajectories over a 10-year follow-up using a data-driven approach. Method AESOP-10 is a follow-up, at 10 years, of 532 incident cases with a first episode of psychosis initially identified in south-east London and Nottingham, UK. Using extensive information on fluctuations in the presence of psychotic symptoms, we fitted growth mixture models to identify latent trajectory classes that accounted for heterogeneity in the patterns of change in psychotic symptoms over time. Results We had sufficient data on psychotic symptoms during the follow-up on 326 incident patients. A four-class quadratic growth mixture model identified four trajectories of psychotic symptoms: (1) remitting-improving (58.5%); (2) late decline (5.6%); (3) late improvement (5.4%); (4) persistent (30.6%). A persistent trajectory, compared with remitting-improving, was associated with gender (more men), black Caribbean ethnicity, low baseline education and high disadvantage, low premorbid IQ, a baseline diagnosis of non-affective psychosis and long DUP. Numbers were small, but there were indications that those with a late decline trajectory more closely resembled those with a persistent trajectory. Conclusion Our current approach to categorising the course of psychotic disorders may misclassify patients. This may confound efforts to elucidate the predictors of long-term course and related biomarkers.
DERIVING AN ELECTRIC CIRCUIT EQUIVALENT MODEL OF CELL MEMBRANE PORES IN ELECTROPORATION

Electroporation is the formation of reversible pores in cell membranes under a brief pulse of high electric field. Dynamics of pore formation during electroporation suggests that the transmembrane potential would settle approximately at the threshold transmembrane potential and the transmembrane resistance would decrease significantly from the state of relaxation. The current electric circuit equivalent models for electroporation containing time-invariant, static and passive components are unable to capture the pore dynamics. A biophysically-inspired electric circuit equivalent model containing dynamic components for membrane pores has been derived using biological parameters. The model contains a voltage-controlled resistor driven by a two-stage cascaded integrator that is activated through a voltage-gated switch. Simulation results with the derived model showed higher accuracy compared to a commonly used model, where the transmembrane resistance decreased million-fold at the onset of electroporation and the transmembrane potential settled at 99.5% of the critical transmembrane potential, thus enabling improved dynamic behavior modeling ability of the pores in electroporation. The derived model allows fast and reliable analysis of this biophysical phenomenon and potentially aids in optimization of various parameters involved in electroporation.
Accuracy of two-particle N-representability conditions for describing different spin states and the singlet–triplet gap in the linear acene series

ABSTRACT Variational two-electron reduced-density-matrix (2-RDM) methods can provide a reference-independent description of the electronic structure of strongly correlated molecules and materials. These methods represent one of few ways of performing large active-space-based computations that are beyond the scope of conventional configuration-interaction-based approaches. However, implementations of the method are quite rare, making it difficult for the quantum chemistry community to assess the utility of the approach. Here, we discuss an open-shell implementation of the variational 2-RDM method and explore its ability to describe different spin states in several model systems, including linear hydrogen chains and linear acenes. The largest calculations considered are comparable to complete-active-space computations with 50 electrons in 50 orbitals.
Spectroscopic properties of molecules interacting with small dielectric particles

Optical properties of small dielectric spheroids with or without adsorbed molecules are studied theoretically. Expressions for the absorption line shapes, the radiative and nonradiative decay rates, and quantum yields are derived. In the case of a molecule near a spheroid the magnitudes differ dramatically from the corresponding case of a molecule near a plane.
Fill in information in each box below Article Title ( within 20 words without abbreviations ) Effects of hot-melt extruded nano-copper on the Cu bioavailability and growth of broiler chickens Running Title Nano-copper for broiler chickens

CE TE D JAST (Journal of Animal Science and Technology) TITLE PAGE 1 ARTICLE INFORMATION Fill in information in each box below Article Title (within 20 words without abbreviations) Effects of hot-melt extruded nano-copper on the Cu bioavailability and growth of broiler chickens Running Title Nano-copper for broiler chickens Author JunHyung Lee, Abdolreza Hosseindoust, MinJu Kim, KwangYeol Kim, TaeGyun Kim, Joseph Moturi, ByungJo Chae Affiliation 1 Department of Animal Biosciences, University of Guelph, Guelph, ON N1G 2W1, Canada 2 College of Animal Life Sciences, Kangwon National University, Chuncheon, 24341, Republic of Korea 3 Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, QLD 4072, Australia ORCID (for more information, please visit https://orcid.org) JunHyung Lee (0000-0002-7937-7817) Abdolreza Hosseindoust (0000-0001-9191-0613) MinJu Kim (0000-0001-6950-0458) KwangYeol Kim (0000-0002-3723-2978) TaeGyun Kim (0000-0002-9772-080x) Joseph Moturi (0000-0002-0626-0255) ByungJo Chae (0000-0002-8570-698X) Competing interests No potential conflict of interest relevant to this article was reported. Funding sources State funding sources (grants, funding sources, equipment, and supplies). Include name and number of grant if available. Not applicable.
Effect of type of solvent and non‐solvents on morphology and performance of polysulfone and polyethersulfone ultrafiltration membranes for milk concentration

Polysulfone (PS) and polyethersulfone (PES) ultrafiltration membranes were manufactured from a casting solution of the polymer, polyvinylpyrrolidone (PVP) in various solvents [N,N-dimethylacetamide (DMAc), N,N-dimethylformamide (DMF) and 1-methyl-2-pyrrolidone (NMP)] by immersing the prepared films in different non-solvents [water, 2-butanol, mixture of water and 2-butanol, mixture of water and 2-propanol (IPA) and mixture of water and 1-butanol]. The influences of various solvents and non-solvents on morphology and performance of the prepared membranes were analyzed by scanning electron microscopy (SEM) and separation experiments using milk as the feed. Copyright © 2005 John Wiley & Sons, Ltd.
Pop-Up Hotels Versus Chain Hotels : Does the Type of Hotel Accommodation Influence the Traveler ’ s Risk-Taking Behavior ?

This research aims to understand if the type of hotel accommodation, i.e. pop-up versus chain hotel, can have an effect on the travelers’ risk-taking behavior during the staying period. It was predicted that a pop-up hotel would lead to a higher risk-taking intention in the recreational and health domains, due to a higher ‘fling’ perception and consequent identity change while in a pop-up environment. An experiment was conducted to test the prediction. Data analyses including an ANOVA, ANCOVA and a serial mediation model showed that the pop-up hotel leads to higher recreational risk-intentions, however, no indirect relationships of ‘fling’ and identity change supported the casual chain predicted. Thus, it remains unknown what caused the higher recreational risk intentions, however possible underlying mechanisms are suggested. Finally, managerial implications are discussed based on the findings regarding the connection between hotels, ‘fling’ relationship and identity change.
DF-map: A Novel Variable Resolution Decision Forest Map for Localization

Localization is one of the most important tasks for self-driving vehicles. Existing localization methods usually rely on satellite signals or high-precision maps. However, the former is often limited by signal shielding, while the latter requires higher computing resources and storage. To overcome these shortcomings, we present a novel localization-approach called decision-forest-map (DF-map), which constructs decision trees of various features extracted from the collected data. DF-map can represent the environment with variable resolutions. The resolutions are related to the similarity of the features of input data and the features of the environment. The decision trees of DF-map can output different ranges of localization according to different resolutions. Then the final localization is got by fusing the ranges. Compared with the commonly used localization methods based on high-precision map, DF-map is easier to construct and maintain. It does not need satellite signals, too much computing resources, and storage requirements. Besides, DF-map is a flexible framework that can use different features according to the specific environment and sensors. To verify the effectiveness of our approach, we constructed a Lidar-based DF-map for an off-road environment with a road length of about 1000m. The storage of the map is only about 50M, and the average localization accuracy of the best result is about 1.2m.
Evaluation of Potential of Uncoated Mesoporous Silica Particles for Drug Delivery Applications

The drug loading capability and inherent cytotoxicity of mesoporous silica particles are two prime considerations for targeted drug delivery applications. In current study, uncoated mesoporous silica (UMS) carrier particles were synthesized by sol-gel emulsion approach. The morphology and structure of UMS was thoroughly characterized using atomic force microscope (AFM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR) and Brunauer–Emmett–Teller (BET). The scanning electron microscopy (SEM) and dynamic light scattering (DLS) measurements reveal that mono dispersed silica particles have an average size of 250 nm with narrow size distribution. The pore size was measured as 47nm. Concentration dependent biocompatibility of UMS was evaluated using MTT assay with Hep-2c cancer cell line and cell viability of ~65% at concentrations of 7.5 nM was observed. Finally, the drug loading capability of UMS carrier was studied using ibuprofen as a model drug.
Effect of Polymer Matrix in Polymer/trGO Nano-Composite for EMI Shielding Application in Microwave and Infrared Region

Thermally reduced graphene oxide (trGO) was successfully prepared and confirmed by XRD then dispersed in polystyrene (PS) and Acrylonitrile-Butadiene-Styrene (ABS) polymers and evaluated for EMI shielding in microwave and infrared (IR) region. Thickness of prepared polymer/trGO composite films were 200-250 micron. It was observed that trGO has more compatibility with PS then ABS and dispersed more easily and uniformly in PS than ABS. This effect was also observed in IR shielding as ABS+15trGO have 3% transmission and PS+1% trGO have 1.5% transmission. Maximum 29 dB and 25 dB shielding effectiveness was measured by vector network analyzer (VNA) in microwave region (9-18 GHz) of PS+2% trGO and ABS+2% trGo composite respectively. These results clearly indicating that trGO is more compatible with PS than ABS and form more stable and mature interconnected network structure in PS at lower concentrations.
In situ detection of cocaine hydrochloride in clothing impregnated with the drug using benchtop and portable Raman spectroscopy

This study describes the application of benchtop and portable Raman spectroscopy for the in situ detection of cocaine hydrochloride in clothing impregnated with the drug. Raman spectrawere obtained from a set of undyed natural and synthetic fibres and dyed textiles impregnated with the drug. The spectra were collected using three Raman spectrometers: one benchtop dispersive spectrometer coupled to a fibre-optic probe and two portable spectrometers. Despite the presence of some spectral bands arising from the natural and synthetic polymer and dyed textiles, the drug could be identified by its characteristic Raman bands. High-quality spectra of the drug could be acquired in situ within seconds and without any sample preparation or alteration of the evidential material. A field-portable Raman spectrometer is a reliable technique that can be used by emergency response teams to rapidly identify unknown samples. Â© 2009 John Wiley & Sons, Ltd.
Mechanical Properties of Aged-TiNiPdCu High Temperature Shape Memory Alloys

High temperature ternary Ti50Ni25Pd25 and quaternary Ti50Ni20Pd25Cu5 shape memory alloys were developed in vacuum arc melting furnace using high purity constituent elements. Half numbers of samples were solution treated at 900 °C for 2 hrs and remaining were aged at 600 °C for 3 hrs. Both alloys were characterized for microstructure analysis and mechanical properties. After aging the alloys, no significant change in microstructure was observed in ternary alloy however, fine precipitates of bright color were found along the grain boundaries in quaternary alloy. The mechanical properties of ternary and quaternary alloys were found to be improved significantly. Microhardness of ternary alloy was increased by 18 Hv whereas for quaternary alloy the same property was improved by 24 Hv. Yield stress of ternary and quaternary was observed to be enhanced by 10 MPa and 9 MPa respectively. Similarly the fracture stress was observed to be increased by 9 MPa and 13.4 MPa. Conversely, the fracture strain of ternary and quaternary alloys was reduced by 0.5% and 0.35% respectively. From these results it can be established that aging at 600 °C is beneficial to improve the mechanical properties of both alloys however, quaternary alloy responded more actively as compared to ternary alloy.
Antibacterial Properties of Silver Nanoparticles Synthesized Using Piper betle L. Leaf Extract

The green synthesis of silver nanoparticles (AgNPs) using herbal plants has gained much attention due to their potential widespread applications, especially in biomedical application to control pathogenic microbes. The aim of our study was to evaluate the antibacterial properties of synthesized AgNPs using aqueous leaf extract of Piper betle L. , an important medicinal plant. The AgNPs were identified by UV-Visible spectrometry (UV-Vis), X-ray diffraction (XRD), transmission electron microscopy (TEM) and Fourier transform infrared spectrometry (FT-IR). The presence of surface plasmon band around 420-460 nm indicated AgNPs formation. Spherical nature, unique size-distribution and crystal structure of the AgNPs with diameter around 10-20 nm were affirmed by TEM and XRD analyses. The FTIR measurements showed the presence of bioactive compounds in the extract responsible for the efficient reduction of silver ions and stabilization of the AgNPs. The results from the antimicrobial assays suggested that the biosynthesized AgNPs were potent against pathogenic bacteria including Escherichia coli, Pseudomonas aeruginosa and Staphylococcus aureus.
Complete Genome Sequence of Klebsiella pneumoniae Strain ATCC 43816

Klebsiella pneumoniae is a member of Enterobacteriaceae that causes a multitude of infections in compromised and healthy individuals. The rise of hypervirulent and multiple-drug-resistant K. pneumoniae strains has made this organism a global health threat. Here, we report the complete genome sequence of K. pneumoniae strain ATCC 43816. ABSTRACT Klebsiella pneumoniae is a member of Enterobacteriaceae that causes a multitude of infections in compromised and healthy individuals. The rise of hypervirulent and multiple-drug-resistant K. pneumoniae strains has made this organism a global health threat. Here, we report the complete genome sequence of K. pneumoniae strain ATCC 43816.
Draft Genome Sequence of Methanothermobacter thermautotrophicus WHS, a Thermophilic Hydrogenotrophic Methanogen from Washburn Hot Springs in Yellowstone National Park, USA

A thermophilic methanogen was enriched in coculture from Washburn Hot Springs (Yellowstone National Park, USA), grown on carbon dioxide and hydrogen, and subsequently sequenced. The reconstructed 1.65-Mb genome sequence for Methanothermobacter thermautotrophicus WHS contributes to our understanding of hydrogenotrophic, CO2-reducing methanogenesis in geothermal ecosystems. ABSTRACT A thermophilic methanogen was enriched in coculture from Washburn Hot Springs (Yellowstone National Park, USA), grown on carbon dioxide and hydrogen, and subsequently sequenced. The reconstructed 1.65-Mb genome sequence for Methanothermobacter thermautotrophicus WHS contributes to our understanding of hydrogenotrophic, CO2-reducing methanogenesis in geothermal ecosystems.
16S rRNA Amplicon Sequencing of Microbial Biofilms from Marsberg Copper Mine, Germany

The 16S rRNA amplicons from biofilms inhabiting rocks near various water bodies of Marsberg Copper Mine (Rhenish Massif, Germany) reveal the diversity of their microbial communities. The abundance of Chloroflexi and Cyanobacteria taxa in the biofilms near leachate streams indicated the selective enrichment of Ktedonobacteria and Oxyphotobacteria members. ABSTRACT The 16S rRNA amplicons from biofilms inhabiting rocks near various water bodies of Marsberg Copper Mine (Rhenish Massif, Germany) reveal the diversity of their microbial communities. The abundance of Chloroflexi and Cyanobacteria taxa in the biofilms near leachate streams indicated the selective enrichment of Ktedonobacteria and Oxyphotobacteria members.
EU-Citizen.Science: A Platform for Mainstreaming Citizen Science and Open Science in Europe

Citizen Science (CS) is a prominent field of application for Open Science (OS), and the two have strong synergies, such as: advocating for the data and metadata generated through science to be made publicly available [1]; supporting more equitable collaboration between different types of scientists and citizens; and facilitating knowledge transfer to a wider range of audiences [2]. While primarily targeted at CS, the EU-Citizen. Science platform can also support OS. One of its key functions is to act as a knowledge hub to aggregate, disseminate and promote experience and know-how; for example, by profiling CS projects and collecting tools, resources and training materials relevant to both fields. To do this, the platform has developed an information architecture that incorporates the public participation in scientific research (PPSR)—Common Conceptual Model①. This model consists of the Project Metadata Model, the Dataset Metadata Model and the Observation Data Model, which were specifically developed for CS initiatives. By implementing these, the platform will strengthen the interoperating arrangements that exist between other, similar platforms (e.g., BioCollect and SciStarter) to ensure that CS and OS continue to grow globally in terms of participants, impact and fields of application.
Replacement value of white mulberry forage for elephant grass on nutrients digestibility, weight gain and blood profile of sheep

Abstract A 63-day study that involved 20 growing West African Dwarf sheep with average live bodyweight of 7.44 ± 0.18 kgW0.75 was carried out to evaluate nutrients intake, nitrogen metabolism, weight gain and blood profile of sheep fed Pennisetum purpureum (PP) substituted with white morus alba leaves (ML). The sheep were allotted to 5 treatments of 4 sheep per replicate in a Completely Randomized Design experiment. Five diets fed to the sheep were formulated designated as T1 (100 % PP), T2 (75 % PP: 25 % ML), T3 (50 % PP: 50 % ML), T4 (25 % PP: 75 % ML) and T5 (100 % ML). DM ranged 89.03 - 90.16 % and highest (21.05 %CP) was obtained in T5. Nutrients intake, DWG and FGR were significantly (p<0.05) influenced. Highest DMI (250.38 gW0.75/day) and CPI (52.70 gW0.75/day) were observed in sheep fed T5. Highest N-balance (5.75 gW0.75) was obtained in sheep fed T5. Consequently, the best DWG (16.10 gW0.75g/day) and least FCR (15.55). Haematological and serum biochemical indices were within normal range for WAD sheep. Thus, sole feeding of white mulberry leave could offer a reliable source of protein for sheep.
Recent and future manifestations of a contingent global mean sea level acceleration

Abstract We analyzed globally averaged satellite altimetry mean sea level time series during 1993 – 2018 and their future manifestations for the following 25 years using a kinematic model, which consists of a trend, a contingent uniform acceleration, and a random error model. The analysis of variance results shows that the model explains 71.7% of the total variation in global mean sea level for which 70.6% is by the secular trend, and 1.07% is due to a contingent uniform acceleration. The remaining 28.3% unexplained variation is due to the random errors, which are dominated by a first order autoregressive process driven mostly by oceanic and atmospheric variations over time. These numbers indicate more bumps and jumps for the future manifestations of the global mean sea level anomalies as illustrated using a one-step ahead predictor in this study. Our findings suggest preponderant random errors are poised to further confound and negatively impact the certitude of published estimates of the uniform global sea level acceleration as well as its prediction under an increasingly warmer Earth.
Individual Factors of Extending the Working Life for People with Disabilities in Poland

Abstract Extending working life is an important challenge for modern economies. In Poland, 40% of people aged 50–64 are economically inactive. In the population of people with disabilities, this percentage is much higher (78%). The aim of this paper is to assess the individual factors for extending the working life of Poles aged 50–64 and their comparison between people with and without disabilities. The empirical analysis is based on the national survey, Social Diagnosis (for people aged 50–64). The analysis was carried out with the application of logistic regression, as well as the Student t-test, the Mann-Whitney test, the chi-squared test of independence. The logistic regression results show that the factors of extending working life for people with disabilities are different than for others – statistically significant determinants are formal outcomes of human capital development (regarding individuals without disabilities, the list of factors extending working life is more extensive).