Miracle-dz/UniFAR-FTUs huggingface dataset:
A Digital Health Innovation to Prevent Relapse and Support Recovery in Youth Receiving Specialized Services for First-Episode Psychosis: Protocol for a Pilot Pre-Post, Mixed Methods Study of Horyzons-Canada (Phase 2)

Background Psychotic disorders are among the most disabling of all mental disorders. The first-episode psychosis (FEP) often occurs during adolescence or young adulthood. Young people experiencing FEP often face multiple barriers in accessing a comprehensive range of psychosocial services, which have predominantly been delivered in person. New models of service delivery that are accessible, sustainable, and engaging are needed to support recovery in youth diagnosed with FEP. Objective In this paper, we describe a protocol to implement and evaluate the acceptability, safety, and potential efficacy of an online psychosocial therapeutic intervention designed to sustain recovery and prevent relapses in young adults diagnosed with FEP. This intervention was originally developed and tested in Australia and has been adapted for implementation and evaluation in Canada and is called Horyzons-Canada (HoryzonsCa). Methods This cohort study is implemented in a single-center and applies a pre-post mixed methods (qualitative-quantitative convergent) design. The study involves recruiting 20 participants from a specialized early intervention program for psychosis located in Montreal, Canada and providing them with access to the HoryzonsCa intervention for 8 weeks. Data collection includes interview-based psychometric measures, self-reports, focus groups, and interviews. Results This study received funding from the Brain and Behavior Research Foundation (United States), the Quebec Health Research Funding Agency (Canada), and the Canada Research Chairs Program. The study was approved by the Research Ethics Board of the Centre intégré universitaire de santé et de services sociaux de l'Ouest-de-l'Île-de-Montréal on April 11, 2018 (#IUSMD 17-54). Data were collected from August 16, 2018, to April 29, 2019, and a final sample of 20 individuals participated in the baseline and follow-up interviews, among which 9 participated in the focus groups. Data analysis and reporting are in process. The results of the study will be submitted for publication in 2021. Conclusions This study will provide preliminary evidence on the acceptability, safety, and potential efficacy of using a digital health innovation adapted for the Canadian context to deliver specialized mental health services to youth diagnosed with FEP. Trial Registration ISRCTN Registry ISRCTN43182105; https://www.isrctn. com/ISRCTN43182105 International Registered Report Identifier (IRRID) RR1-10.2196/28141
Press-sinter-repress Ag-SnO/sub 2/ contacts with lithium and copper sintering additives for contactor applications

Ag-SnO/sub 2/ contacts have been made by extrusion for several years because it is easier to achieve high density by this method. However, the brittle nature of this material, especially with 12% or more oxides, resulted in high manufacturing cost. This paper discusses a patented material that uses sintering aids and special silver morphology to assist sintering to high densities. By this method, discrete contacts can be made by powder metal mixing, pressing, sintering and repressing to high densities. Electrical performance similar to extruded materials was obtained. Electrical test results including life testing at 90 A 240 VAC and weld strength comparisons are reported. The erosion process is discussed.
Design of a Mass Air Flow Sensor Employing Additive Manufacturing and Standard Airfoil Geometry

This work concerns the design, fabrication, and preliminary characterization of a novel sensor for determining the air intake of low and medium power internal combustion engines employed at various applications in the marine industry. The novelty of the presented sensor focuses on the fabrication process, which is based on additive manufacturing combined with PCB technology, and the design of the sensing elements housing geometry, which is derived through suitable CFD simulations and is based on standard airfoil geometry. The proposed process enables low-cost, fast fabrication, effective thermal isolation, and facile electrical interconnection to the corresponding circuitry of the sensor. For initial characterization purposes, the prototype device was integrated into a DIESEL engine testbed while a commercially available mass air flow sensor was employed as a reference; the proper functionality of the developed prototype has been validated. Key features of the proposed device are low-cost, fast on-site manufacturing of the device, robustness, and simplicity, suggesting numerous potential applications in marine engineering.
How do socioeconomic attainment gaps in early mathematical ability arise?

Abstract Socioeconomic attainment gaps in mathematical ability are evident before children begin school, and widen over time. Little is known about why early attainment gaps emerge. Two cross‐sectional correlational studies were conducted in 2018–2019 with socioeconomically diverse preschoolers, to explore four factors that might explain why attainment gaps arise: working memory, inhibitory control, verbal ability, and frequency of home mathematical activities (N = 304, 54% female; 84% White, 10% Asian, 1% black African, 1% Kurdish, 4% mixed ethnicity). Inhibitory control and verbal ability emerged as indirect factors in the relation between socioeconomic status and mathematical ability, but neither working memory nor home activities did. We discuss the implications this has for future research to understand, and work towards narrowing attainment gaps.
Pharmacokinetics and Pharmacodynamics of T-Cell Bispecifics in the Tumour Interstitial Fluid

The goal of this study is to investigate the pharmacokinetics in plasma and tumour interstitial fluid of two T-cell bispecifics (TCBs) with different binding affinities to the tumour target and to assess the subsequent cytokine release in a tumour-bearing humanised mouse model. Pharmacokinetics (PK) as well as cytokine data were collected in humanised mice after iv injection of cibisatamab and CEACAM5-TCB which are binding with different binding affinities to the tumour antigen carcinoembryonic antigen (CEA). The PK data were modelled and coupled to a previously published physiologically based PK model. Corresponding cytokine release profiles were compared to in vitro data. The PK model provided a good fit to the data and precise estimation of key PK parameters. High tumour interstitial concentrations were observed for both TCBs, influenced by their respective target binding affinities. In conclusion, we developed a tailored experimental method to measure PK and cytokine release in plasma and at the site of drug action, namely in the tumour. Integrating those data into a mathematical model enabled to investigate the impact of target affinity on tumour accumulation and can have implications for the PKPD assessment of the therapeutic antibodies.
Design of a Normal Acceleration and Angle of Attack Control System for a Missile Having Front and Rear Control Surfaces

Precise normal acceleration control is essential for missile guidance. Missiles with both front and rear control surfaces have a higher ability to control normal acceleration than missiles with front or rear control surfaces only. From the viewpoint of control, however, the control problem becomes a two-input-one-output problem, where generally control input cannot be determined uniquely. This paper proposes controlling angle of attack as well as normal acceleration, which makes the problem a two-input-two-output one and determines the controls uniquely. Normal acceleration command is given by a guidance system, but angle of attack command must be generated in accordance to the acceleration command without affecting the normal acceleration control. This paper also proposes such a command generator for angle of attack. Computer simulation is conducted using a nonlinear missile model to investigate the effectiveness of the control system along with control systems designed using three other methods.
The Impact of Re-Mating Interval and Genotype on Physiological Response of Rabbits after First Kindling

This is an experiment aimed to study the effect of re-mating interval on rabbit does after first kindling on hormonal (insulin, leptin, and T3) and metabolites (triglycerides, urea, and glucose) levels. DNA damage in ovary cells of rabbit does during the 2nd parity was also studied. Two varieties were used: APRI (synthetic line) and Baladi Black (BB, Egyptian breed). A total number of 120 mature rabbit does (60 does for each breed) were 6 months of age and were used at the beginning of the breeding season. Does of each breed were divided into three equal groups according to reproductive rhythm. The 1st group was postpartum (PP). The 2nd group was 11 days after parturition (P11). The 3rd group was post-weaning (PW). There were significant (P≥0.05) differences in plasma leptin concentration during 1st parity. The highest value of plasma leptin concentration was recorded by the PW group at mating. Also, there were significant differences in plasma insulin and T3 hormones concentrations of doe rabbits. The highest value of plasma insulin concentration was recorded by the PW group at mating in 1st parity and the highest value of plasma T3 hormone concentration was recorded for the PS group at mating. While there were insignificant differences during 2nd parity in T3 hormone concentration in rabbits, the differences of plasma glucose and triglyceride concentrations of doe rabbits during 1st parity and 2nd parity were significant. However, the highest significant value of plasma glucose concentration was recorded by the PW group at mating. On the other hand, there were insignificant differences in plasma urea concentration of doe rabbits during 1st parity and 2nd parity. Finally, no significant effects were observed on comet length, head diameter, tail length, or DNA % tail.
Design of printed multistrip monopole antenna for UWB applications

Design and performance measures of a printed multistrip monopole antenna for ultra‐wideband application are presented. The proposed antenna consists of six quarter wavelength strips of different resonant frequency combined in a manner to provide wide bandwidth and omnidirectional pattern. It operates in the frequency range 2.22∼11.67 GHz with impedance bandwidth (VSWR < 2) of 9.45 GHz and maximum gain of 6.07 dBi. The radiation pattern is nearly omnidirectional in the Azimuthal plane and bidirectional in the elevation plane and the consistency of the radiation pattern exists for almost all frequency in the operating band. © 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26103
New Targets for PET Imaging of Myeloma

Recent advances in the treatment of multiple myeloma (MM) have increased the need for accurate diagnosis and detection of minimal residual disease (MRD), disease characterization and localization, and response evaluation and prognostication. Positron emission tomography (PET)/computed tomography (CT) imaging combines molecular and morphological information and has been shown to be especially valuable in this disease. The most frequently used PET tracer in MM is the glucose analog 18F-fluorodeoxyglucose ([18F]FDG). [18F]FDG PET/CT has a sensitivity for detection of MM between 80% to 100% and is currently the main imaging modality for assessing treatment response and for determining MRD. However, 18F-FDG PET/CT has some limitations, and imaging with alternative tracers that may overcome these constraints should be further explored. This article discusses new targets for PET/CT imaging in the assessment of MM.
Measuring Changes of State in Concrete

Currently a combination of varied methods of both intermittent and continuous monitoring have to be employed in the integrity assessment of safety-critical heterogeneous structures such as reinforced-concrete pressure-vessels, buildings or bridges, and those methods vary from simple visual inspection to embedded vibrating-wire strain-gauge techniques. This paper presents ongoing work based on a concept that utilises comparisons of intermittent vibrational response measurements. The non-destructive method employed compares energy-signatures transmitted through a region of material to establish any differentials in response and it then assesses any change-of-state (CoS) from that behaviour observed.
Condition monitoring of wind turbine induction generators with rotor electrical asymmetry

This study investigates the condition monitoring of wind turbine wound rotor and doubly fed induction generators with rotor electrical asymmetries by analysis of stator current and total power spectra. The research is verified using experimental data measured on two different test rigs and numerical predictions obtained from a time-stepping electromagnetic model. A steady-state study of current and power spectra for healthy and faulty conditions is performed to identify fault-specific signal changes and consistent slip-dependent fault-indicators on both test rigs. To enable real-time fault frequency tracking, a set of concise analytical expressions, describing fault frequency variation with operating speed, were defined and validated by measurement. A variable speed study, representative of real wind turbine operations, of current and power frequency components for healthy and faulty conditions was then carried out on one test rig, which could simulate wind conditions. The current and power fault frequency tracking previously identified achieved reliable fault detection for two realistic wind turbine generator fault scenarios of differing severity. Conclusions are drawn on the relative merits of current and power signal analysis when used for wind turbine wound rotor induction machine fault detection and diagnosis.
A robust CMOS Bluetooth radio/modem system-on-chip

The relaxed constraints on Bluetooth RF front-end implementation, together with the requirement of frequency hopping, result in a frequency offset and drift elimination or reduction problem. In the Spirea Bluetooth radio solution BlueTraC, a scalable digital demodulator is used, which gives a flexible, fast, and tunable frequency adjusting implementation. To increase the dynamic range the existing transmit chain is used to tune the LO during receive mode.
Prediction of Air Pollutant Concentration Based on One-Dimensional Multi-Scale CNN-LSTM Considering Spatial-Temporal Characteristics: A Case Study of Xi’an, China

Air pollution has become a serious problem threatening human health. Effective prediction models can help reduce the adverse effects of air pollutants. Accurate predictions of air pollutant concentration can provide a scientific basis for air pollution prevention and control. However, the previous air pollution-related prediction models mainly processed air quality prediction, or the prediction of a single or two air pollutants. Meanwhile, the temporal and spatial characteristics and multiple factors of pollutants were not fully considered. Herein, we establish a deep learning model for an atmospheric pollutant memory network (LSTM) by both applying the one-dimensional multi-scale convolution kernel (ODMSCNN) and a long-short-term memory network (LSTM) on the basis of temporal and spatial characteristics. The temporal and spatial characteristics combine the respective advantages of CNN and LSTM networks. First, ODMSCNN is utilized to extract the temporal and spatial characteristics of air pollutant-related data to form a feature vector, and then the feature vector is input into the LSTM network to predict the concentration of air pollutants. The data set comes from the daily concentration data and hourly concentration data of six atmospheric pollutants (PM2.5, PM10, NO2, CO, O3, SO2) and 17 types of meteorological data in Xi’an. Daily concentration data prediction, hourly concentration data prediction, group data prediction and multi-factor prediction were used to verify the effectiveness of the model. In general, the air pollutant concentration prediction model based on ODMSCNN-LSTM shows a better prediction effect compared with multi-layer perceptron (MLP), CNN, and LSTM models.
Investigating the Impacts of a Wet Typhoon on Microseismicity: A Case Study of the 2009 Typhoon Morakot in Taiwan Based on a Template Matching Catalog

Recent studies suggested that transient and long‐term stress changes caused by Earth's surface processes (e.g., extreme weather events, annual variations on groundwater storages) can affect earthquake activities in the subsurface. However, these studies may be limited by the completeness of standard earthquake catalogs, especially during or right after extreme weather events. Here we apply the template matching method to build a more complete earthquake catalog in Taiwan spanning seven months before and 12 months after 2009 typhoon Morakot, which brought the highest rainfall in southern Taiwan in the past 60 years and triggered numerous landslides. We then use the enhanced catalog to investigate possible influences of typhoon‐driven Earth's surface processes (atmospheric pressure, precipitation, and erosion) on local seismicity. We find that the seismicity rate of a 40‐day earthquake sequence in northeastern Taiwan was reduced significantly right after the passage of typhoon Morakot's eye center. In the typhoon‐triggered landslide zone in southern Taiwan, we find a slight increase in background seismicity rate in the next year after Morakot, matching the results of a recent study. However, we do not observe a clear change in the Gutenberg‐Richter b‐value in this zone, which is different from the recent study. Station outages during and right after Morakot prevents us from better understanding short‐term precipitation effect on local seismicity. Overall, except for a reduction in seismicity rate near the typhoon's low‐pressure eye center in northeastern Taiwan, we do not observe other clear seismicity changes that can be attributed to surface changes induced by typhoon Morakot.
Impact of clozapine on disability and course of illness in patients with schizophrenia: A study from North India

Aim: The aim of this study was to evaluate the impact of long-term use of clozapine on disability and course of illness among patients with treatment-resistant schizophrenia. Materials and Methods: 102 participants who have been receiving clozapine for a mean duration of 5 years were evaluated on Positive and Negative Syndrome Scale (PANSS) rating, Clinical Global Impression (CGI) severity rating, and Indian Disability Evaluation and Assessment Scale (IDEAS) and the scores were compared with the scores on the same scales at the time of starting clozapine. Results: There was a significant reduction in both CGI-severity scores and scores in all the four domains of IDEAS, alongside a significant reduction on all three subscales of PANSS with clozapine treatment. The CGI global improvement subscale was rated as very much improved for 80 patients. In terms of course of symptoms, at 6 months of clozapine use, three-fourth of the patients were rated as having partial recovery with no relapse of symptoms, but with passage of time, the proportion of patients in the category of “complete recovery” was found to be increasing. Higher CGI severity at the follow-up, lower CGI global improvement, and poorer efficacy index were associated with higher disability at the follow-up. Conclusions: The present study suggests that clozapine has a significant beneficial impact on disability and course of illness among patients with treatment-resistant schizophrenia.
Autistic children's parents and hospital dentistry

Background: It is difficult to perform dental procedures in autistic children, and parental involvement is necessary for successful hospital dental services. Therefore, in order to promote oral health in autistic children, this study was aimed to explore the knowledge, attitude, and performance of autistic children's parents with respect to hospital dentistry. Materials and Methods: This cross-sectional study was conducted with the parents of 100 autistic children aged 2–6 years selected from among the children of Isfahan autism treatment centers. A self-administered questionnaire, including parental demographic information and 22 items on the assessment of knowledge, attitude, and performance of autistic children's parents regarding hospital dental procedures under general anesthesia, was completed by 100 parents. P <0.05 was considered statistically significant. Data were analyzed by SPSS software using Chi-square test. Results: A total of 100 parents of autistic children, with an average age of 37.4 ± 6.1 years, were recruited in this study. The results showed that 56%, 50%, and 3% of parents had poor knowledge about dental hospital services, dental complications, and hospital dentistry rules, respectively. Further, 51% of parents believed that general anesthesia was dangerous to their children. In addition, 69% of children had little or no cooperation with the dentist. There was also a significant relationship between the knowledge, attitude, and performance of autistic children's parents regarding hospital dentistry and the parents' age and sex. Conclusion: This study showed that autistic children's parents had poor knowledge, attitude, and performance with respect to hospital dentistry.
Structure-Behavior Coalescence Design to Improve the Modifiability of Home Care IoT System

Modifiability improvement is a key factor in the successful Home Care IoT System (HCIS) systems development. It includes disciplined system layering (DSL), well-defined components (WDC), published interface (PI), and well-defined behavior (WDB) which represent the four main factors that enhance the modifiability of HCIS. Structure-Behavior Coalescence (SBC) method uses three fundamental diagrams: a) framework diagram, b) component operation diagram, and c) interaction flow diagram to accomplish the design of HCIS. Through framework diagram, Structure-Behavior Coalescence design of HCIS demonstrates tremendous effects of disciplined system layering. Through component operation diagram, Structure-Behavior Coalescence design of HCIS demonstrates large effects of well-defined components and published interfaces. Through interaction flow diagram, Structure-Behavior Coalescence design of HCIS demonstrates tremendous effects of well-defined behaviors. Structural Equation Modeling (SEM) refers to a diverse set of unrelated computer algorithms and statistical methods, which are suitable for constructing networks for analysis. Applied SEM method can verify that Structure-Behavior Coalescence design is be able to enhance the Modifiability of HCIS.
The Predictors of Work-Related Stress: Organizational Justice and Fatalism

The purpose of the current study is to understand the relationship between organizational justice and the effect of the fatalism on work related stress. Although, organizational justice has been found to be a significant predictor of the work related stress in previous studies, fatalism which can be related with work related stress and organizational justice as well, has not been studied before together. In this correlational study, organizational justice, four dimensions of fatalism and job type were considered as predictors and work-related stress was the criterion variable. In total, 100 academics and 66 support staff have participated to this study. Multiple regression analysis with backward elimination was conducted. Results indicated that organizational justice, job type and luck were significant predictors of the work-related stress. While an increase on organizational justice perceptions lowers the work-related stress, luck and work-related stress seem increasing together. Additionally, academic personnel have higher stress levels than support staff. However, superstition, personal control, and predetermination dimensions of the fatalism were not found to be significantly associated with work related stress. Policy improvements were offered in line with the findings and recommendations for future studies were prescribed in discussion.