Miracle-dz/UniFAR-FTUs huggingface dataset:
RACE: laser-cooled Rb microgravity clock

RACE is a high performance Rb clock slated to fly on the International Space Station. RACE aims to realize high accuracy and short-term stability. The cold collision shift and multiple launching (juggling) have important implications for the design and the resulting clock accuracy and stability. We present and discuss the double clock design for RACE. This design reduces the noise contributions of the local oscillator and simplifies and enhances an accuracy evaluation of the clock.
A deep learning approach to photospheric parameters of CARMENES target stars

In the light of more and more new instrumentation to get a deeper insight into the universe, tons of data are collected. While traditional machine-learning methods have been used in processing stellar spectral data, such large new datasets are better handled with Deep Learning (DL) techniques. In this work, we present a Deep Convolutional Neural Network (CNN) approach to derive fundamental stellar parameters (e ﬀ ective temperature, surface gravity, metallicity and rotational velocity) from high-resolution high signal-to-noise ratio spectra. We construct an individual CNN architecture for each of the four parameters and train them on synthetic PHOENIX-ACES spectra. After that, we apply the trained networks to the observed spectra of 50 M dwarfs observed with CARMENES. The CARMENES spectrograph, installed on the 3.5 m telescope at the Calar Alto Observatory (Spain) has two channels, covering the visible (0.52 to 0.96 µ m, R = 96,400) and near-infrared (0.96 to 1.71 µ m, R = 80,600) spectral ranges. We compare our results to literature values, and demonstrate that our method can be used for stellar parameter determination without the need of having a huge sample of stellar spectra with known parameters, because our networks can be trained on synthetic spectra. Introducing Deep Transfer Learning (DTL) in our approach allows us to transfer external knowledge about the stellar parameters (e.g., from interferometry) to our training set and therefore improve our results compared to literature.
Any port in a storm? The impact of new port infrastructure on New Zealand exporter behaviour

This paper investigates the impact of port infrastructure on exporter behaviour, focusing on the opening of Metroport, a new inland port in Auckland. We model adoption of the new port facilities among local firms, and then relate uptake to future export growth performance. We find that the main determinants of uptake are product- and firm-related, rather than location-specific. Firms use the new port infrastructure in conjunction with the existing port in order to mitigate capacity constraints and/or access a greater range of transport options. We take early adoption of Metroport as a signal of an existing capacity constraint and analyse the effect of the new port on subsequent export growth, finding a positive but insignificant impact on export volumes.
A new design of MRPC to reduce noise and crosstalk

The CBM time of flight wall is proposed to be built with MRPC technology. In the past few years we have successfuly improved the rate capability of MRPCs to CBM level. However, in a relative high particle multiplicity situation (over 20 kHz/cm2), multi-hit capability is one of the most demanding requirement of the detector. In a free running mode too many noise not only affect the performance of MRPC but also enlarge the data file or even damage the FIFO. So it is needed to develop low crosstalk and low noise MRPC to meet CBM-TOF requirement. Three strip-readout MRPC with or without shielding grounds were designed to study how to reduce noise and crosstalk of MRPCs. In this paper we report on the performance of three different structures of MRPCs named G-0, G-2 and G-3. Tests with cosmic rays were performed at Tsinghua University. The results show that MRPC G-2 can perform better than other two structures, the average cluster size of G-2 is lower than 1.28 strips and the noise level is below 0.5 Hz/cm2. The detection efficiency is over 98% and the time resolution is around 65 ps.
Reactive Power Influence on the Thermal Cycling of Multi-MW Wind Power Inverter

In this paper, the reactive power influence on the thermal cycling of power devices in grid-connected inverter for 10-MW wind turbines is investigated. Restrained by the grid codes, the allowable reactive power ranges in relation to amplitude and phase angle of the load current for a single converter system are first presented at different wind speeds. Furthermore, the interaction between paralleled converter systems in a wind park is also considered and analyzed. By controlling the reactive power circulated among paralleled converters, a new concept is then proposed to stabilize the thermal fluctuation of the power devices during wind gusts. It is concluded that the reactive power may change the thermal distribution of power devices. By properly controlling the reactive power, it is possible to achieve a more stable junction temperature in the power devices during the fluctuation of wind speed and thereby could provide a new way to improve the reliability of the wind power conversion system.
Determinan Kinerja Sistim Informasi Akuntansi dimoderasi oleh Pendidikan dan Pelatihan

This study examines the determinants of accounting information system performance (a study at PT. PLN Persero, customer service unit, Jayapura district). Testing was carried out on a sample of 71 respondents. The sample method used was purposive sampling. data collection was carried out by direct survey. Hypothesis testing is tested empirically using moderated regression. The results show that the technical ability of personnel has no effect on the performance of the accounting information system at PT. PLN Persero Pelanggal Service Unit Kab. Jayapura, user involvement affects the performance of the accounting information system on the performance of the accounting information system at PT. PLN Persero Pelanggal Service Unit Kab. Jayapura, the sophistication of personnel technology affects the performance of the accounting information system. The performance of the accounting information system at PT. PLN Persero Pelanggal Service Unit Kab. Jayapura, training and education moderate the technical capabilities of personnel on the performance of the accounting information system at PT. PLN Persero Pelanggal Service Unit Kab. Jayapura, training and education moderate user involvement on the performance of the accounting information system at PT. PLN Persero Pelanggal Service Unit Kab. Jayapura and the last training and education moderate the technological sophistication of personnel on the performance of the accounting information system at PT. PLN Persero Pelanggal Service Unit Kab. Jayapura Keywords: Performance of Accounting Information Systems, Education and Training.
Probabilistic characterization of the performance of actively controlled smart structures

Smart materials and structural systems are increasingly attracting attention from the engineering community because of their importance in current and future high performance structural applications. As these new structural systems emerge, there is an important need to have capabilities that can be employed for assessing their performance with reference to the primary functional requirement of structural integrity and control robustness as well as reliability. Furthermore, it is desirable to establish adequate performance metrics (which account for inherent or environmental uncertainties) that can be used as a quantitative basis for the comparative evaluation of various design options or for assessing the state of such systems that are already in service. In this study, two measures that can be used for probabilistic characterization and assessment of the performance of actively controlled smart structures are developed. The framework is based on the use of the probabilistic finite element strategy for modeling the parent (host) structure as well as the piezoelectric materials that are employed for sensing and actuation in the assembled system. The uncertainties inherent in the parent structure and the piezoelectric materials are propagated through the probabilistic finite element model. This enables rational and realistic characterization of the performance measures. The probabilistic models are based on the use of advanced reliability analysis algorithms which utilize fast probability integration algorithms that are robust and computationally more efficient than Monte Carlo simulation schemes. To facilitate efficient computation, an adaptive response surface methodology is employed for the approximation of the probabilistic finite element response quantities. Example problems are used to illustrate the robustness and usefulness of the proposed methodology.
Microstrip array antenna for PCS and IMT-2000 base station

In this paper, we design two types of microstrip array antenna for PCS and IMT-2000 base stations. A broadband antenna satisfying the performance requirement for both services is designed by utilizing the multi-layer structure. The bandwidth of a designed antenna for VSWR less than 1.3 is greater than 100 MHz for PCS and 300 MHz for IMT-2000. However, the method to improve the sidelobe level needs to be studied further.
CMOS adjustable Schmitt triggers

Three adjustable Schmitt triggers for implementation in CMOS technology are presented: two semi-adjustable circuits using only six transistors and one fully adjustable circuit using a total of eight transistors. The most significant features of all three are the hysteresis adjustment, two operation modes as a comparator or Schmitt trigger, very small chip area, and very low static power consumption. The fully adjustable Schmitt trigger has been realized using a 3- mu m CMOS technology, and experimental results are presented. >
Instruments for measuring perceived and experienced Mental Illness Stigma: A systematic review.

In order to investigate which instruments are most utilized when measuring perceived and experienced mental illness stigma (MIS) in adults, and some of the variables that may moderate or interfere in measured outcomes, 101 published empirical and peer-reviewed studies were systematically extracted from electronic databases (PubMed, Scopus, EBSCO, Web of Science, and PsycINFO). The results revealed that MIS is commonly evaluated by five scales. When considering the most tested and reported associative effects, age, and symptoms’ severity were identified as potentially intervening variables. Other variables, such as sex, diagnostic, and treatment regimen (inpatient/outpatient) were evaluated by a few studies and presented inconsistent results. These findings suggest that future studies should use well-established instruments in the literature to assess MIS, as well as to aim for the cross-cultural adaptation of instruments that evaluate MIS since no instruments presented in this review are validated to the Brazilian population.
Pragmatic, linguistic and cognitive factors in young children's development of quantity, relevance and word learning inferences

Abstract To better understand the developmental trajectory of children's pragmatic development, studies that examine more than one type of implicature as well as associated linguistic and cognitive factors are required. We investigated three- to five-year-old English-speaking children's (N = 71) performance in ad hoc quantity, scalar quantity and relevance implicatures, as well as word learning by exclusion inferences, using a sentence-to-picture-matching story-based task. Children's pragmatic abilities improved with age, with word learning by exclusion acquired first, followed by relevance and ad hoc quantity implicatures, and finally scalar quantity implicatures. In an exploratory analysis (with a subset of the data N = 58), we found that structural language knowledge was a predictor of pragmatic performance (but no evidence for an association with socioeconomic status or Theory of Mind, controlling for structural language). We discuss reasons why this developmental pattern emerges with reference to linguistic and extra-linguistic properties of these inferences.
Assessing parental stress and quality of life in families of pre-school children with autism spectrum disorder: a systematic review of the assessment tests used

Background : Several studies have focused on the differences between families of children with ASD (autism spectrum disorder) and children with typical development by analyzing psychological correlates of families of children with disabilities. Outcome literature emphasizes those parents of children with autism report high levels of stress and other complexities in adjusting to life. Methods : The authors conducted a systematic literature review designed to explore the most widely used normative and qualitative tests and related reference constructs in the scientific literature during the period between 2009 and 2019. Results : The literature found is very large and the authors decided to identify some categories within which to differentiate the studies collected and the relative tests that emerged that are stress, emotional states, family functioning, personal characteristics and social support. Conclusions : A thorough review of the literature combined with clinical experience showed that in clinical studies the focus on individual constructs is very strong and the subject, in this case the parent, is not viewed as a larger part of a social context, which can be a resource in stress management.
Expert elicitation and Bayesian analysis of construction contract risks: an investigation

Formal risk analysis techniques applied in managing construction project risks tend to focus on risks that lend themselves to ‘objective’ methods of economic analysis. Although subjective probabilities and Bayesian methods are applied successfully in other industries to manage ‘subjective’ risks similar to those encountered in construction contracts, very little is reported on the application of such methods for analysing risks in construction contracts. An investigation has been carried out into using subjective expert opinions and Bayesian methods in construction contract risk analysis. The elicitation of expert opinions about the risk of encountering adverse ground conditions on construction sites is examined. Prior distributions of expert opinions about the risk form the critical component in the Bayesian analysis of risk. The conclusion of this is that although construction professionals have difficulty estimating intermediate and tail values of probability distributions, elicitation techniques can be used to develop prior distributions of contract risks which, coupled with sample information on the risks, would enable the Bayesian analysis of risks. Effective strategies for systematically analysing significant individual contract risks often covered under an ‘arbitrary’ project contingency sum can now be developed to enhance the risk management efforts of contractors and construction experts.
Synergism therapeutic and immunoregulatory effects of Albendazole + rAd-mIL-28B against Echinococcosis in experiment-infected mice with protoscoleces

The metacestode stage of Echinococcus granulosus can cause cystic echinococcosis (CE), which still widely occurs around the world. Since the early 1970s, benzimidazoles have been shown to inhibit the growth of cysts and used to treat CE. However, benzimidazoles are still ineffective in 20%-40% of cases. In order to explore the new agents against CE, we have investigated the therapeutic effect of the recombinant adenoviral vector expressing mouse IL-28B (rAd-mIL-28B) on protoscoleces-infected mice. In our study, we successfully established the model mice which infected with protoscoleces intraperitoneally. At 18 weeks post-infection, the mice received rAd-mIL-28B (1×107 PFU) weekly by intramuscular injection for 6 weeks. Compared with the untreated control (13.1 ± 2.2 g), there was a significant reduction in cysts wet weight in rAd-mIL-28B group (8.3 ± 3.5 g) (P < 0.05), especially in Albendazole (ABZ) + rAd-mIL-28B group (5.8 ± 1.4 g) (P < 0.01). We also observed the severe damage of the germinal layer and the laminated layer of cysts after treatment. rAd-mIL-28B group showed a prominent increase in the level of Th1 type cytokines (such as IFN-γ, IL-2 and TNF-α). Meanwhile, the frequency of Foxp3+ T cells was decreased in the rAd-mIL-28B group (4.83 ± 0.81%) and ABZ + rAd-mIL-28B group (4.60 ± 0.51%), comparing with the untreated group (8.13 ± 2.60%) (P < 0.05). In addition, compared with the untreated control (122.14 ± 81.09 pg/ml), the level of IFN-γ significantly increased in peritoneal fluid in the rAd-mIL-28B group (628.87 ± 467.16 pg/ml) (P < 0.05) and ABZ + rAd-mIL-28B group (999.76 ± 587.60 pg/ml) (P < 0.001). Taken together, it suggested that ABZ + IL-28B may be a potential therapeutic agent against CE.
Implementation of an adaptive position control system of a permanent-magnet synchronous motor and its application

This study proposes an adaptive backstepping controller design for a position control system of permanent-magnet synchronous motors (PMSMs). The proposed system has good performance, including fast transient responses, good steady-state responses and good tracking responses. Based on a proper Lyapunov function, an adaptive backstepping position controller can be systematically developed. In addition, a notch filter is used in the current loop to reduce the limit cycles of the motor current. The control algorithm is implemented by using a Renesas digital signal processor. As a result, the hardware is very simple. The proposed control system includes a position-loop controller and a current-loop controller. All control loops are executed by the digital signal processor. Several experimental results are shown to validate the correctness and feasibility of the proposed control algorithms. The system can achieve a precise position control. In fact, a ball-screw table and a knitting machine have been applied to evaluate the performance of the control system. The study provides a new direction in the use of an advanced control technique in PMSMs and investigates its real industrial applications.
Early psychological interventions for prevention and treatment of post-traumatic stress disorder (PTSD) and post-traumatic stress symptoms in post-partum women: A systematic review and meta-analysis

Background Pre-term or full-term childbirth can be experienced as physically or psychologically traumatic. Cumulative and trans-generational effects of traumatic stress on both psychological and physical health indicate the ethical requirement to investigate appropriate preventative treatment for stress symptoms in women following a routine traumatic experience such as childbirth. Objective The objective of this review was to investigate the effectiveness of early psychological interventions in reducing or preventing post-traumatic stress symptoms and post-traumatic stress disorder in post-partum women within twelve weeks of a traumatic birth. Methods Randomised controlled trials and pilot studies of psychological interventions preventing or reducing post-traumatic stress symptoms or PTSD, that included women who had experienced a traumatic birth, were identified in a search of Cochrane Central Register of Randomised Controlled Trials, MEDLINE, Embase, Psychinfo, PILOTS, CINAHL and Proquest Dissertations databases. One author performed database searches, verified results with a subject librarian, extracted study details and data. Five authors appraised extracted data and agreed upon risk of bias. Analysis was completed with Rev Man 5 software and quality of findings were rated according to Grading of Recommendation, Assessment, Development, and Evaluation. Results Eleven studies were identified that evaluated the effectiveness of a range of early psychological interventions. There was firm evidence to suggest that midwifery or clinician led early psychological interventions administered within 72 hours following traumatic childbirth are more effective than usual care in reducing traumatic stress symptoms in women at 4–6 weeks. Further studies of high methodological quality that include longer follow up of 6–12 months are required in order to substantiate the evidence of the effectiveness of specific face to face and online early psychological intervention modalities in preventing the effects of stress symptoms and PTSD in women following a traumatic birth before introduction to routine care and practice. Prospero registration CRD42020202576, https://www.crd. york.ac. uk/prospero/display_record. php? RecordID=202576
Angiotensin-converting enzyme polymorphisms AND Alzheimer’s disease susceptibility: An updated meta-analysis

Background Many studies among different ethnic populations suggested that angiotensin converting enzyme (ACE) gene polymorphisms were associated with susceptibility to Alzheimer’s disease (AD). However, the results remained inconclusive. In the present meta-analysis, we aimed to clarify the effect of ACE polymorphisms on AD risk using all available relevant data. Methods Systemic literature searches were performed using PubMed, Embase, Alzgene and China National Knowledge Infrastructure (CNKI). Relevant data were abstracted according to predefined criteria. Results Totally, 82 independent cohorts from 65 studies were included, focusing on five candidate polymorphisms. For rs1799752 polymorphism, in overall analyses, the insertion (I) allele conferred increased risk to AD compared to the deletion (D) allele (I vs. D: OR = 1.091, 95% CI = 1.007–1.181, p = 0.032); while the I carriers showed increased AD susceptibility compared with the D homozygotes (II + ID vs. DD: OR = 1.131, 95% CI = 1.008–1.270, p = 0.036). However, none of the positive results passed FDR adjustment. In subgroup analysis restricted to late-onset individuals, the associations between rs1799752 polymorphism and AD risk were identified using allelic comparison (OR = 1.154, 95% CI = 1.028–1.295, p = 0.015, FDR = 0.020), homozygotes comparison, dominant model and recessive model (II vs. ID + DD: OR = 1.272, 95% CI = 1.120–1.444, p < 0.001, FDR < 0.001). Nevertheless, no significant association could be revealed after excluding studies not in accordance with Hardy-Weinberg equilibrium (HWE). In North Europeans, but not in East Asians, the I allele demonstrated increased AD susceptibility compared to the D allele (OR = 1.096, 95% CI = 1.021–1.178, p = 0.012, FDR = 0.039). After excluding HWE-deviated cohorts, significant associations were also revealed under homozygotes comparison, additive model (ID vs. DD: OR = 1.266, 95% CI = 1.045–1.534, p = 0.016, FDR = 0.024) and dominant model (II + ID vs. DD: OR = 1.197, 95% CI = 1.062–1.350, p = 0.003, FDR = 0.018) in North Europeans. With regard to rs1800764 polymorphism, significant associations were identified particularly in subgroup of European descent under allelic comparison (T vs. C: OR = 1.063, 95% CI = 1.008–1.120, p = 0.023, FDR = 0.046), additive model and dominant model (TT + TC vs. CC: OR = 1.116, 95% CI = 1.018–1.222, p = 0.019, FDR = 0.046). But after excluding studies not satisfying HWE, all these associations disappeared. No significant associations were detected for rs4343, rs4291 and rs4309 polymorphisms in any genetic model. Conclusions Our results suggested the significant but modest associations between rs1799752 polymorphism and risk to AD in North Europeans. While rs4343, rs4291 and rs4309 polymorphisms are unlikely to be major factors in AD development in our research.