Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of surface and bulk effects of nuclear reactor radiation on planar devices

Surface effects of nuclear reactor irradiation are separated from bulk effects, and their relative importance compared. It is shown that the rates of change of surface recombination velocity and lifetime with dose are such that at high doses surface effects have an insignificant influence on p-n junction recombination-generation currents compared to bulk effects. In particular, the degradation of current gain at low collector currents in reactor irradiated bipolar transistors is shown to be the result of increased recombination in the bulk rather than at the surface of the emitter-base depletion region, in contrast with the case of ionizing radiation alone.
Highly miniaturised InP=InGaAs PIN MMIC switches using BCB-based multilayer technology

Fully integrated single-pole-double-throw and single-pole-triple-throw InP/InGaAs PIN switches have been designed and fabricated using a newly proposed BCB-based 3D MMIC technology. The chip sizes of the fabricated InP/InGaAs PIN switches, which show good and broadband RF characteristics, have been significantly reduced compared to those of conventional GaAs-based switches. The results indicate the potential of the proposed 3D MMIC technology for compact embedded MMIC applications.
SSR analysis with dynamic phasor model of thyristor-controlled series capacitor

In their previous work, the authors have studied the phasor dynamics of thyristor-controlled series capacitors (TCSCs), and derived associated models for studying power swing oscillations in power systems. This paper presents the use of a dynamic phasor model of the TCSC in studies of subsynchronous resonance (SSR). Their earlier dynamic phasor models of the TCSC are further simplified here, and tested at typical subsynchronous frequencies. The phasor model of the TCSC is directly compatible with the conventional models used for the other system components relevant to SSR. The proposed approach to SSR analysis is an attractive alternative to approaches based on sampled-data models, and to torque-per-unit-velocity methods. The dynamic phasor approach has been tested on the IEEE first benchmark SSR model, showing outstanding agreement with more computationally demanding alternative methods for eigenvalue analysis.
Absenteeism, Performance and Occupant Satisfaction with the Indoor Environment of Green Toronto Schools

This study aimed to compare a number of quantitative and qualitative aspects of usage across a sample of 10 conventional, 20 energy-retrofitted and three green Toronto schools. Student, teacher and staff absenteeism data, as well as Grade 3 and 6 student performance data on reading, writing and arithmetic tests administered by Ontario’s Education Quality and Accountability Office were collected. A survey of 150 teachers was conducted to investigate their satisfaction with the indoor air quality, lighting, thermal comfort and acoustics of their school buildings. The statistical analysis of the data showed that teachers in green schools were in general more satisfied with their classrooms and personal workspaces’ lighting, thermal comfort, indoor air quality, heating, ventilation and air conditioning than teachers in the other schools. Nevertheless, they were less satisfied with acoustics. Student, teacher and staff absenteeism in green schools also improved by 2–7.5%, whereas student performance improved by 8–19% when compared with conventional schools. However, these improvements were not statistically significant and could not therefore be generalised to all Toronto public schools. Whether these marginal improvements justify the extra cost premium of green buildings remains an active contentious topic that will need further investigation.
Impact of cross-saturation on accuracy of saturated induction machine models

Cross-saturation in smooth air-gap AC machines has been a subject of controversy in the 1980s. The discussions were based on the model of a saturated AC machine with d-q axis winding currents acting as state-space variables. The recently introduced concept of generalised flux and generalised inductance has enabled the derivation of a series of models of saturated smooth air-gap AC machines for various selections of state-space variables. All the models, except for the winding flux model, contain explicit terms that describe cross-saturation. The aim of this paper is to compare behaviour of various models when cross-saturation is neglected. Two transients of a single-cage induction machine are analysed: motor starting with increased voltage; and induction generator self-excitation. Some experimental results are included. It is shown that the impact of cross-saturation on accuracy depends on the type of the model. All the models that ask for a time derivative of the generalised inductance yield poor results if cross-saturation is neglected. However, the models that require a time derivative of the inverse of the generalised inductance are basically unaffected. Thus these models can be simplified without any loss of accuracy.
INVESTIGATION OF THE ORGANIZATIONAL JUSTICE, PERCEIVED ORGANIZATIONAL SUPPORT AND ORGANIZATIONAL CYNICISM PERCEPTIONS OF ACADEMICIANS

This research, which aimed to investigate the relationship between organizational justice, perceived organizational support and organizational cynicism perceptions of academicians, was designed with the correlational survey model in the quantitative research pattern. The data of the research were collected with the organizational justice, perceived organizational support and organizational cynicism scales. The research was carried out with 132 academicians who were in-service in the Erzincan Binali Yıldırım University located in the Eastern Anatolia Region of Turkey in 2019. The data of the research were analysed using the frequency, frequency, arithmetic mean, correlation and regression analysis. At the end of the research, it was found that the organizational justice, perceived organizational support of the academicians were at a high level, their organizational cynicism perceptions were at a low level. According to another result reached, there was a negative significant relationship between organizational justice, perceived organizational support perceptions and organizational cynicism perceptions of the academicians. At the end of the regression analysis, it was found that the academicians' organizational justice and perceived organizational support perceptions were a significant predictor of organizational cynicism. Article visualizations:
Residual effect of organic manure on growth and yield of Vigna unguiculata (l) Walp and Lablab purpureus L.

A field experiment was carried out in the Research farm located in the Botanical garden of Dr. Babasaheb Ambedkar Marathwada University, Aurangabad to study residual effect of organic manures on growth and yield of Vigna unguiculata (L) walp and Lablab purpureus L. Organic manures were prepared like green manure of Achyranthes (GMA), green manure of Parthenium (GMP), mixed green manure of both (GMPA), Dry powder of Achyranthes (DPA), Dry powder of Parthenium (DPP), compost of Achyranthes (COA) and compost of Parthenium (COP). These manures and chemical fertilizers PK and NPK were supplied to field for maize crop cultivation. Subsequent to harvesting of maize crop after 23 days of interval Vigna unguiculata (L) walp and Lablab purpureus L. was sown in the same plots in an alternative row manner. The growth analysis of the both the crops was recorded after 59 days. Harvesting of both crops was carried out and fresh weight per plot was noted. Samples of each treatment along with control were kept in oven for estimation of dry matter, nitrogen, crude protein, phosphorus, potassium and total reducing sugar. Percent increase over control and nitrogen efficiency ratio was also calculated. All organic manures showed good residual effect on growth and yield of both the crops. Compost of Achyranthes showed highest residual effect on Vigna unguiculata while compost of Parthenium gave highest residual effect on Lablab purpureus. Organic manures prepared from weeds increases the productivity of crop and show long term effect.
Faktor Yang Mempengaruhi Kebijakan Dividen Dimediasi Kepemilikan Manajerial Yang Tercatat Di BEI

The study was conducted with the aim of proving that debt policy and price earning ratio affect dividend policy with managerial ownership as a mediating variable. In the study using a population of all companies included in manufacturing companies listed on the Indonesia Stock Exchange, using purposive sampling the total used in the study was 33 companies with secondary data taken from https://www.idx. co.id/. The result in this research prove that debt policy has a negative effect on dividend policy, while the price earning ratio has a positive effect on dividend policy. Then the presence of managerial ownership has a negative effect on debt policy research and price earnings ratio against dividend policy. Penelitian dilakukan dengan tujuan membuktikan bahwa kebijakan hutang dan price earning ratio berpengaruh kepada kebijakan dividen dengan kepemilikan manajerial sebagai variabel mediasi. Dalam penelitian menggunakan populasi seluruh perusahaan yang termasuk dalam perusahaan manufaktur yang tercatat di Bursa Efek Indonesia, dengan menggunakan purposive sampling maka total sampel yang digunakan dalam penelitian yaitu sebanyak 33 perusahaan dengan data sekunder yang diambil dari https://www.idx. co.id/ . Hasil dalam penelitian membuktikan bahwa kebijakan hutang berpengaruh negative terhadap kebijakan dividen, sedangkan price earning ratio berpengaruh positif terhadap kebijakan dividen. Kemudian dengan adanya kepemilikan manajerial berpengaruh negative dalam penelitian kebijakan hutang dan price earning ratio terhadap kebijakan dividen.
On a Novel Approximate Solution to the Inhomogeneous Euler–Bernoulli Equation with an Application to Aeroelastics

This paper focuses on the development of an explicit finite difference numerical method for approximating the solution of the inhomogeneous fourth-order Euler–Bernoulli beam bending equation with velocity-dependent damping and second moment of area, mass and elastic modulus distribution varying with distance along the beam. We verify the method by comparing its predictions with an exact analytical solution of the homogeneous equation, we use the generalised Richardson extrapolation to show that the method is grid convergent and we extend the application of the Lax–Richtmyer stability criteria to higher-order schemes to ensure that it is numerically stable. Finally, we present three sets of computational experiments. The first set simulates the behaviour of the un-loaded beam and is validated against the analytic solution. The second set simulates the time-dependent dynamic behaviour of a damped beam of varying stiffness and mass distributions under arbitrary externally applied loading in an aeroelastic analysis setting by approximating the inhomogeneous equation using the finite difference method derived here. We compare the third set of simulations of the steady-state deflection with the results of static beam bending experiments conducted at Cranfield University. Overall, we developed an accurate, stable and convergent numerical framework for solving the inhomogeneous Euler–Bernoulli equation over a wide range of boundary conditions. Aircraft manufacturers are starting to consider configurations with increased wing aspect ratios and reduced structural weight which lead to more slender and flexible designs. Aeroelastic analysis now plays a central role in the design process. Efficient computational tools for the prediction of the deformation of wings under external loads are in demand and this has motivated the work carried out in this paper.
Single-cell analysis by mass cytometry reveals CD19 CAR T cell spatiotemporal plasticity in patients

ABSTRACT The adaptive T cell immune response requires cellular plasticity to generate distinct subsets with diverse functional and migratory capacities. Studies of CAR T cells have primarily focused on a limited number of phenotypic markers in blood, representing an incomplete view of CAR T cell complexity. Here, we adapted mass cytometry to simultaneously analyze trafficking and functional proteins expression in CD19 CAR T cells across patients’ tissues, including leukapheresis T cells, CAR product, CAR T cells in peripheral blood, bone marrow, and cerebrospinal fluid post infusion and correlate them with phenotypes. This approach revealed spatiotemporal plasticity of CAR T cells. Patients’ CAR product revealed upregulation in many trafficking and activation molecules compared to leukapheresis T cells as baseline. Including statistically significant upregulation in CD4 and CD8 integrin-β7, CD4 granzyme B, and CD11a as well as CD8 CD25 and CD95. Moreover, patients’ tissues showed spatiotemporal alteration in trafficking, activation, maturation, and exhaustion features, with a distinct signature in the central nervous system niche. Compared to peripheral blood samples, cerebrospinal fluid samples were statistically significant enriched in CD4 and CD8 trafficking and memory phenotype proteins integrin β7, CCR7, CXCR4, and CD8 CD69. Our data provide a potential framework to remodel CAR T cells and enhance immunotherapy efficacy.
Two order increase in the optical emission intensity of CMOS integrated circuit Si LED's (450nm - 750nm). Injection-avalanche based n+pn and p+np designs

We report on an increase in emission intensity of up to 10 nW / microns2 that has been realized with a new novel two junction, diagonal avalanche control and minority carrier injection silicon CMOS light emitting device. The device utilizes a four terminal configuration with two shallow n+p junctions, embedded in a p substrate. One junction is kept in deep avalanche and light emitting mode, while the other junction is forward biased and minority carrier electrons are injected into the avalanching junction. The device has been realized using standard 0.35 micron CMOS design rules and fabrication technology and operates at 9V in the current range 0.1 - 3mA. The optical emission intensity is anout two orders higher than that for previous single junction n+ p light emitting junctions. The optical output is about three orders higher than the low frequency detectivity limit of silicon p-i-n detectors of comparable dimensions. The realized characteristics may enable diverse opto-electronic applications in standard CMOS silicon technology based integrated circuitry.
Increased Pressure Leads to Decreased Trust Among the Unvaccinated: Effects of the Announcement of the Re-Introduction of Covid Passports in Denmark

On November 8 2021, a press conference was held by the Danish government to re-introduce covid passports as a way of containing increasing COVID-19 infections and make life as an unvaccinated “more burdensome”. While new vaccinations increased in the weeks following the press conference, we show that this increased pressure also decreased trust among the unvaccinated. Using a difference-in-differences design on nationally representative survey data, we estimate that trust in the strategy of managing the COVID-19 epidemic decreased with 11 percentage points among the unvaccinated. When considering “pressure” as a pandemic management strategy it is important to be aware of these unintended costs and how they may shape the unvaccinated’s compliance with other health advice and their overarching support for the political system.
HPC Strength Prediction Using Artificial Neural Network

An artificial neural network of the fuzzy-ARTMAP type was applied for predicting strength properties of high-performance concrete (HPC) mixes. Composition of HPC was assumed simplified, as a mixture of six components (cement, silica, superplasticizer, water, fine aggregate, and coarse aggregate). The 28-day compressive strength value was considered as the only aim of the prediction. Data on about 340 mixes were taken from various recent publications. The system was trained based on 200 training pairs chosen randomly from the data set, and then tested using remaining 140 examples. A significant enough correlation between the actual strength values and the values predicted by the neural network was observed. Obtained results suggest that the problem of concrete properties prediction can be effectively modeled in a neural system, in spite of data complexity, incompleteness, and incoherence. It is demonstrated that the approach can be used in multicriterial search for optimal concrete mixes.
Outcomes with chimeric antigen receptor t-cell therapy in relapsed or refractory acute myeloid leukemia: a systematic review and meta-analysis

Background We conducted a systematic review and meta-analysis to evaluate outcomes following chimeric antigen receptor T cell (CAR-T) therapy in relapsed/refractory acute myeloid leukemia (RR-AML). Methods We performed a literature search on PubMed, Cochrane Library, and Clinicaltrials.gov. After screening 677 manuscripts, 13 studies were included. Data was extracted following PRISMA guidelines. Pooled analysis was done using the meta-package by Schwarzer et al. Proportions with 95% confidence intervals (CI) were computed. Results We analyzed 57 patients from 10 clinical trials and 3 case reports. The pooled complete and overall response rates were 49.5% (95% CI 0.18-0.81, I2 =65%) and 65.2% (95% CI 0.36-0.91, I2 =57%). The pooled incidence of cytokine release syndrome, immune-effector cell associated neurotoxicity syndrome, and graft-versus-host disease was estimated as 54.4% (95% CI 0.17-0.90, I2 =77%), 3.9% (95% CI 0.00-0.19, I2 =22%), and 1.6% (95%CI 0.00-0.21, I2 =33%), respectively. Conclusion CAR-T therapy has demonstrated modest efficacy in RR-AML. Major challenges include heterogeneous disease biology, lack of a unique targetable antigen, and immune exhaustion.
Engagement, Predictors, and Outcomes of a Trauma Recovery Digital Mental Health Intervention: Longitudinal Study

Background Worldwide, exposure to potentially traumatic events is extremely common, and many individuals develop posttraumatic stress disorder (PTSD) along with other disorders. Unfortunately, considerable barriers to treatment exist. A promising approach to overcoming treatment barriers is a digital mental health intervention (DMHI). However, engagement with DMHIs is a concern, and theoretically based research in this area is sparse and often inconclusive. Objective The focus of this study is on the complex issue of DMHI engagement. On the basis of the social cognitive theory framework, the conceptualization of engagement and a theoretically based model of predictors and outcomes were investigated using a DMHI for trauma recovery. Methods A 6-week longitudinal study with a national sample of survivors of trauma was conducted to measure engagement, predictors of engagement, and mediational pathways to symptom reduction while using a trauma recovery DMHI (time 1: N=915; time 2: N=350; time 3: N=168; and time 4: N=101). Results Confirmatory factor analysis of the engagement latent constructs of duration, frequency, interest, attention, and affect produced an acceptable model fit (χ22=8.3; P=.02; comparative fit index 0.973; root mean square error of approximation 0.059; 90% CI 0.022-0.103). Using the latent construct, the longitudinal theoretical model demonstrated adequate model fit (comparative fit index 0.929; root mean square error of approximation 0.052; 90% CI 0.040-0.064), indicating that engagement self-efficacy (β=.35; P<.001) and outcome expectations (β=.37; P<.001) were significant predictors of engagement (R2=39%). The overall indirect effect between engagement and PTSD symptom reduction was significant (β=–.065; P<.001; 90% CI –0.071 to –0.058). This relationship was serially mediated by both skill activation self-efficacy (β=.80; P<.001) and trauma coping self-efficacy (β=.40; P<.001), which predicted a reduction in PTSD symptoms (β=−.20; P=.02). Conclusions The results of this study may provide a solid foundation for formalizing the nascent science of engagement. Engagement conceptualization comprised general measures of attention, interest, affect, and use that could be applied to other applications. The longitudinal research model supported 2 theoretically based predictors of engagement: engagement self-efficacy and outcome expectancies. A total of 2 task-specific self-efficacies—skill activation and trauma coping—proved to be significant mediators between engagement and symptom reduction. Taken together, this model can be applied to other DMHIs to understand engagement, as well as predictors and mechanisms of action. Ultimately, this could help improve the design and development of engaging and effective trauma recovery DMHIs.
The Snatch Technique of World Class Weightlifters at the 1985 World Championships

The purpose of this study was (a) to describe the snatch technique in terms of kinematic and external and internal kinetic parameters, and (b) to compare the results for athletes of different groups and weight categories. By means of three-dimensional film analysis and measurements of ground reaction forces during the 1985 World Championships in Sweden, it was possible to analyze the spatial movements and to calculate joint moments of force in each leg. Concerning the kinematics, a snatch technique starting with a strong pull toward the lifter could be established. The most interesting kinetic results are that the knee joint moments are relatively small (one third of the hip joint moments of force) and do not correlate very well with the total load. The best lifters seem able to limit the knee joint moment by precise control of the knee position with respect to the ground reaction force. Altogether, the results concerning the internal kinetic parameters question the logic of the classical division of the .
Computer simulation of hollowcore concrete flooring systems exposed to fire

Multi-storey buildings with precast hollowcore concrete floor systems are very common in New Zealand and in many other countries, but the structural behaviour of such systems under fire exposure is not easy to predict because of the complex geometry, composite construction, and a wide range of possible support conditions. The 2006 version of the New Zealand Concrete Standard NZS3101 introduces new details for connection of hollowcore floor units to reinforced concrete supporting beams to improve seismic performance, but the fire performance of the new connection systems is unknown. Currently available methods for simulating fire performance of hollowcore slabs are not suitable for design purposes. Therefore, a simple yet sufficiently accurate simulation method needs to be developed. This study was carried out using a proposed simulation method to investigate the fire performance of hollowcore floor slabs with different connection details between the hollowcore units and their reinforced concrete supporting beams conforming to NZS3101. The proposed simulation method is examined on the platform of SAFIR, a non-linear finite element program that includes both thermal and structural analysis. The proposed simulation method was validated using available experimental results from a limited number of tests. It does not take account of shear and anchorage failures or spalling effects, so designers should consult other studies for this behaviour of hollowcore concrete flooring systems. By using the proposed simulation scheme in SAFIR, it is investigated whether the tensile membrane action established through beams parallel to the hollowcore units and different floor aspect ratios will enhance the fire resistance of hollowcore concrete flooring systems. From the simulation results it is concluded that rigid connections at both the ends and the sides of the hollowcore flooring systems to the supporting beams provide better fire resistance than rotationally flexible connections, and the fire resistance of hollowcore flooring systems can be increased by using stiffer supporting beams at the end of the slabs and also by decreasing the spacing between the beams parallel to the hollowcore units.