Miracle-dz/UniFAR-FTUs huggingface dataset:
Theoretical Parameter Design Method of SFCL for Concurrent Commutation Failure Inhibition in SFCL-Segmented Multi-Infeed LCC-HVDC Systems

Earlier works have reported the emerging fault current limiter (FCL) segmentation technique to mitigate concurrent commutation failure (CF) under ac faults in multi-infeed LCC-HVDC systems. However, the FCL's parameter is determined by the electromagnetic transient (EMT) simulation based method, which will lead to enormous workload and long computation time. Moreover, the subsequent CF after ac faults clearance has been ignored. Thus, this paper proposes a theoretical parameter design method of superconducting FCL (SFCL) for concurrent CF inhibition in SFCL-segmented multi-infeed LCC-HVDC systems. Firstly, a comprehensive evaluation approach of CF performance is introduced considering not only the voltage depression and distortion induced concurrent CFs but also the subsequent CF. This can give a more comprehensive CF evaluation than earlier works since the subsequent CF is considered in this approach. Secondly, three SFCL's parameter related evaluation indices, which can assess the SFCL's impact on the abovementioned three types of CF, are proposed to develop the proposed method based on the comprehensive CF evaluation approach. Compared to the simulation based method, the proposed method is implemented more efficiently without EMT simulations, and more effectively with the subsequent CF considered. Finally, the simulations based on dual-infeed and tri-infeed LCC-HVDC systems validate the proposed method.
Multiple-Input Harvesting Power Management Unit With Enhanced Boosting Scheme for IoT Applications

Powering Internet of Things sensor nodes in the expanding application platforms requires a highly efficient power management unit (PMU), with adaptive power consumption based on harvester energy availability and load conditions. To provide continuous reliable operation, this paper presents a PMU, which is able to extract energy from four energy sources, while providing independent maximum power point tracking (MPPT) for each harvester. With MPPT being achieved independent of voltage boosting, a novel step-up ratio technique is implemented for enhancing charging time and efficiency by 33.5% (3.5×). A fully digital technique to detect harvester energy flow is designed to scale down system power during energy drought periods, while being able to cold-start from inputs as low as 0.4 V. The stored energy is used by load through a hybrid analog–digital linear dropout regulator (LDO) or further boosted for pulsed battery charging. The chip is fabricated in the 180-nm process with an area of 0.46 <inline-formula><tex-math notation="LaTeX">$\text{mm}^{2}$</tex-math></inline-formula> and achieves a maximum power delivery of 2.6 mW and a maximum end-to-end efficiency of 70% at 40 <inline-formula><tex-math notation="LaTeX">$\mu \text{W}$</tex-math></inline-formula>.
MigrationCircumstances,PsychologicalDistress,and Self-RatedPhysicalHealthforLatinoImmigrantsinthe UnitedStates

Objectives. We determined the impact of premigration circumstances on postmigration psychological distress and self-rated physical health among Latino immigrants. Methods. We estimated ordinary least squares and logistic regression models for Latino immigrants in the 2002–2003 National Latino and Asian American Study (n = 1603). Results. Mean psychological distress scores (range = 10–50) were 14.8 for women and 12.7 for men; 35% of women and 27% of men reported fair or poor physical health. A third of the sample reported having to migrate; up to 46% reported unplanned migration. In multivariate analyses, immigration-related stress was significantly associated with psychological distress, but not with self-rated health, for both Latino men and women. Having to migrate was associated with increased psychological distress for Puerto Rican and Cuban women respondents and with poorer physical health for Puerto Rican migrant men. Unplanned migration was significantly associated with poorer physical health for all Latina women respondents. Conclusions. The context of both pre- and postmigration has an impact on immigrant health. Those involved in public health research, policy, and practice should consider variation in immigrant health by migration circumstances, including the context of exit and other immigration-related stressors. (Am J Public Health. 2013;103:1619–1627. doi:10.2105/AJPH.2012.301195)
Knowledge management in practice in academic libraries

Developments in higher education present disruptions in the normal operations of an academic library. Shrinking budgets, technological innovations, and changes in staffing each cause organizations to question traditional mores and can motivate managers to utilize new ways of thinking to manage workflow and to address evolving institutional initiatives. Knowledge management has emerged as one such way of thinking about management challenges. The authors present basic knowledge management principles, and identify and analyse knowledge management practices at two academic libraries.
Effective Diversity of OTFS Modulation

Orthogonal time frequency space (OTFS) modulation, which encodes information symbols in the delay–Doppler domain, offers a promising solution to the problem of high Doppler sensitivity of orthogonal frequency division multiplexing (OFDM) transmission. In this letter we study the diversity of OTFS assuming rectangular waveforms and a delay–Doppler channel with two paths. After introducing the concept of effective diversity (ED), which we argue to be more significant than “standard” diversity in the case of a large number of transmitted symbols, we examine the conditions under which OTFS achieves full ED for QAM symbols. We validate our analytical results through numerical simulations, which show that OTFS practically achieves full ED with sufficiently large signal constellations.
Life Cycle Assessment of Lighting Systems and Light Loss Factor: A Case Study for Indoor Workplaces in France

Life cycle assessment (LCA) methodology has been used to evaluate the performance of the following lighting systems: compact fluorescent lamps (CFL), light-emitting diode (LED) lamps, and fluorescent tubes (T5 type). This work covers the singularity of the French electricity mix for indoor workplaces lighting and describes the best strategy for lamp replacement. We have defined the light loss factor to integrate the following additional parameters: lumen depreciation, dirt accumulation, and risks of failure. Therefore, we propose a new definition of the functional unit (maintained megalumen hour), and we conduct this assessment to be compliant with the standards of lighting system equipment (NF EN 12464-1). Unlike previous studies, we observed that the manufacturing phase is the most impacting over the whole life cycle, thus making the extension of LED lamps’ lifetime a more effective strategy to reduce the potential environmental impacts than increasing their efficacy. This paper highlights how the light loss factor affects the LCA results and proves that it should be taken into account for subsequent assessments. Finally, this new approach includes the real usage of the lamps in the study and contributes to lay the foundation for life cycle sustainability assessment to also evaluate the economic, social, and human impacts of lighting.
Analytical Performance of Rank-One Signal Detection in Subspace Interference Plus Gaussian Noise

The problem of detecting rank-one signals is considered in the presence of subspace interference and Gaussian noise with unknown covariance matrix. A generalized likelihood ratio test (GLRT) detector has already been designed for this detection problem. In this correspondence, we provide analytical performance analysis for the GLRT detector in the mismatched case where the nominal target steering vector is not aligned with the true one. All theoretical results are confirmed using Monte Carlo techniques. It is revealed that the detector bears a constant false alarm rate property against the noise covariance matrix. The expressions derived for the probabilities of false alarm and detection can greatly facilitate the threshold setting and performance evaluations. Numerical examples indicate that the GLRT is sensitive to steering vector mismatches.
A retrospective study of 40 cases of pathologically established primary central nervous system lymphoma

Objective To explore the clinical and radiological features,treatment strategy and prognosis of primary central nervous system lymphoma(PCNSL). Methods Forty pathologically established PCNSL patients were enrolled for retrospective analysis of clinical,radiological and pathological presentations,treatment strategies and survival periods.Results PCNSL was more common in males of 50—60 years old with an acute or subacute onset,seventy-five percent of the patients presented with solitary lesions and 25% muhifocal lesions.Most of the lymphomas were adjacent to the cerebral spinal fluid pathway either in deep structures near ventricle(57.5%)or superficial structures near cortex(32.5%). Almost all were of B cell type,with characteristic phenomenon of"cuff"of tumor cells surrounding the vessels and"stars in sky"The clinical manifestations were nonspecific.Most of the tumors were hypointense on T_1-weighed and hyperintense on T_2-weighed with clear edge and obvious edema,sixty-seven point six percent of the tumors enhanced homogeneously and 13.5% had ring enhancing phenomenon. Patients undergoing high dose methotrexate(HDMTX)based chemotherapy had a higher survival rate (75.0%)than those treated without HDMTX.The mean survival period was only 14.8 months.After relapse,69.2% of the patients survived less than 6 month.Conclusions PCNSL has nonspecific clinical manifestations,whose diagnosis relies on stereotactic biopsy.HDMTX based chemotherapy is the first treatment of choice,and the prognosis of PCNSL is poor with a mean survival period of 14.8 months.
A Novel 3D Visible Light Positioning Method Using Received Signal Strength for Industrial Applications

In this paper, a novel three-dimensional (3D) indoor visible light positioning (VLP) algorithm using the Cayley–Menger determinant (CMD) with a cost function is proposed and experimentally tested to track a drone for industrial applications. The proposed algorithm uses optical received signal strength (RSS) for estimating the drone’s 3D position without prior knowledge of its height. This reduces the need for additional height sensors used in some 3D VLP systems. The performance of the proposed algorithm in terms of positioning error is also compared with a linear least squares (LLS) trilateration algorithm, with and without tilting of the receiver and with multipath reflections. The simulation results show that the proposed algorithm is more accurate and outperforms the LLS algorithm by a median improvement of 21% and is also more robust to the effect of tilting, as well as in the presence of multipath reflections. Furthermore, the proposed algorithm has been experimentally tested and compared with the LLS algorithm in a VLP test bed measuring 4 × 4 × 4.1 m 3 . The experimental results show that the median errors for LLS are 11.4 cm, while the median errors for CMD are 10.5 cm, which results in an error decrease of 8% when CMD with a cost function is used.
Unstable System Control Using an Improved Particle Swarm Optimization-Based Neural Network Controller

In this study, an improved particle swarm optimization (IPSO)-based neural network controller (NNC) is proposed for solving a real unstable control problem. The proposed IPSO automatically determines an NNC structure by a hierarchical approach and optimizes the parameters of the NNC by chaos particle swarm optimization. The proposed NNC based on an IPSO learning algorithm is used for controlling a practical planetary train-type inverted pendulum system. Experimental results show that the robustness and effectiveness of the proposed NNC based on IPSO are superior to those of other methods.
Modeling of Light Pipes for the Optimal Disposition in Buildings

A light pipe is an excellent solution to transport and distribute daylight into environments without or with little lighting, guaranteeing comfort inside the rooms. As stated in the literature, the evaluation of the performances of light pipes presents numerous complexities, making the work very difficult for technicians and designers. This study is aimed to present a methodology that is able to identify the potential of light pipes using indices such as daylight autonomy (DA), continuous daylight autonomy (DAc), and useful daylight illuminance (UDI). This paper presents an analysis of daylight obtained by several configurations of simple models of light pipes installed into a 5 × 5 m plant area room. All simulations are carried out in a DAYSIM environment, which allows calculating the annual availability of daylight based on a RADIANCE raytracer backward. Several daylight conditions were analyzed for different light pipe configurations, considering different pipe lengths and a variable number of light pipes. The light pipes are tested also in the horizontal position, for different orientations. The results of all the combinations were compared with the performances of a window with dimensions equal to 1/8 of the internal surface, which was in accordance with the minimum value to be guaranteed by the Italian Regulation (D.M. 5 July 1975 n. 190) for different orientations. The results indicated a difference in daylight distribution, showing a strong correlation between the percentage levels of DA and DAc with the length and number of pipes, during different periods of the year. The simulated model is strongly influenced by the aspect ratio (R = diameter/length). The results show that the illuminance levels decrease drastically, increasing the length.
Optimization of building fenestration and shading for climate-based daylight performance using the coupled genetic algorithm and simulated annealing optimization methods

Various metaheuristic optimization methods have been applied in high-performance glazing and shading system design due to the complexity and nonlinear impact of the fenestration characteristics on the daylighting performance. However, the optimal solutions found by different optimization methods may vary because of the stochastic nature and the configurations of the optimization methods. This paper studied the improvements in the reliability, consistency and robustness of the genetic algorithm (GA) using hybridization with simulated annealing (SA) considering different cooling strategies in the SA, including the initial temperature and state transitions for each temperature, which controls the comprehensiveness and the convergence acceleration of the search by SA. Analysis of the reliability, consistency and robustness of the optimization methods based on the mean values and the variances of the objective function values of the best cases found in different methods revealed that there is a significant difference between the hybrid GA/SA with higher temperature and GA, where hybrid algorithm performed better than the GA.
A Study of serum hsCRP levels to assess severity in patients with Psoriasis

Introduction: Psoriasis is a common chronic skin disease, characterized by sharply demarcated, erythematous, scaly plaques. Psoriasis is supposed to be initiated by interplay between genetic, environmental, and immunological factors. Creactive protein (CRP) has special importance for psoriasis due to its relation with cytokines which are responsible for skin inflammation. The present study determine the level of CRP by using highly sensitive method (hs-CRP) with a detection limit 0.25mg/L and its correlation with severity of disease. Material and Methods: 50 Patients diagnosed as having psoriasis and 50 age and sex matched normal healthy control were studied after taking their consent. Psoriasis patients with Psoriasis Area Severity Index (PASI) less than 10 considered as mild Psoriasis and PASI greater than 10 considered as moderate to severe Psoriasis. Blood sample was collected under aseptic precautions in plain vacutainer for hsCRP estimation. hsCRP estimation done by latex turbidimetric method. Results: The present study found significant correlation between hsCRP and PASI ( p 10 ( moderate to severe psoriasis ) is 6.26 ± 3.84 mg/L. Conclusion: The finding of present study suggest that Psoriasis patients with moderate to severe psoriasis (PASI > 10) have higher mean Serum hsCRP level than patient mild psoriasis (PASI <10) and controls. Serum hsCRP level correlate significantly with Psoriasis Area Severity Index (PASI) and hsCRP level can be used as marker for assessing severity of disease.
Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization

Linearization is often used for control design of nonlinear systems but what degree of a linearization is sufficient for the controller design is always a question. Furthermore, most of the existing linearization methods aim to develop a completely linear model without retaining any nonlinearity and thus the unmodeled dynamics unavoidably exists due to omitted higher order terms. In this article, a local compact form dynamic linearization (local-CFDL) is developed at first to transform the original nonlinear nonaffine system into an affine structure consisting of both an unknown residual nonlinear time-varying term and a linearly parametric term affine to the control input. A discrete-time extended state observer (DESO) is introduced to estimate the unknown residual nonlinear time-varying term as a new extended state. Then, a local-CFDL-based DESO-model-free adaptive control (MFAC) is proposed where the estimation of DESO is incorporated to compensate for the disturbances and uncertainties. Furthermore, a local partial-form dynamic linearization (local-PFDL) is also presented using multi-lag inputs and partial derivatives. And, a corresponding local-PFDL-based DESO-MFAC is proposed utilizing additional control information to improve control performance. The two proposed methods are both data-driven and do not require any explicit model information. Theoretical analysis shows the robust convergence of the proposed methods in the presence of disturbances. Simulations verify the effectiveness of the proposed method and show that the local-PFDL-based DESO-MFAC outperforms the local-CFDL-based one owing to the use of additional control information.
Watchers on the Wall: Passive Visible Light-Based Positioning and Tracking With Embedded Light-Sensors on the Wall

This article reports a novel visible light positioning (VLP) system and the associated experimental results. The developed VLP system is completely passive as it does not require a tracked object to carry any active device or tag. At the same time, it does not require any modification to the existing lighting infrastructure. The positioning system, termed Watchers on the Wall (WoW), localizes a target based on measuring the change it creates in the received signal strength (RSS) of the ambient light recorded at an array of light-sensors embedded in the wall. A prototype system has been implemented and tested to investigate the performance of the proposed approach with regard to localization and tracking. The experimental results show that the median and 90-percentile localization errors of 7 and 21 cm, respectively, can be achieved for a 2 m $\times3.6$ m testbed. The effect of various parameters like the height of placement and the number of light-sensors, as well as the size of the fingerprint database, has also been studied. The impact of various distance metrics on the localization performance of the weighted $K$ -nearest neighbor (WKNN) classifier has been investigated. It has been found that two distance metrics outperform the commonly employed Euclidean metric. The experimental results also demonstrated that the developed system could track a mobile target along multiple routes with a median error of 12 cm.
Expression and Significance of MMP-9 and NGAL in Maternal Serum and Placental Tissue in Preeclampsia

Objective:To investigate the change of matrix metalloproteinase 9(MMP-9) and neutrophil gelatinase-associated lipocalin (NGAL) in maternal serum and the effects of MMP-9,NGAL mRNA expression in the pathogenesis of preeclampsia (PE). Methods:60 women with severe PE were divided into early-onset group(n=30,onset time≤34 gestational weeks) and late-onset group (n=30,onset time34 gestational weeks),and 30 healthy pregnant women were as control.Real-time fluorescent quantitative reverse transcription PCR (RT-PCR) was used to detect placental MMP-9 and NGAL mRNA expression.Enzyme-linked immunosorbent assay (ELISA) was used to detect the maternal serum level of MMP-9 and NGAL.Furthermore,clinical biochemical parameters were tested,such as blood pressure,blood lipid and 24h urine protein,etc.The correlations among them were analyzed.Results:①The levels of serum MMP-9 and NGAL in the early-onset and late-onset severe PE groups were significantly higher than that in the control group (P0.01),and the levels in the early-onset group was higher than that in the late-onset group(P0.05). There was significant statistical difference(P0.01). ② The levels of placental MMP-9 mRNA and NGAL mRNA in the early-onset and late-onset severe PE groups were significantly lower than that in the control group (P0.05),and the levels in the early-onset group was lower than in the late-onset group(P0.05). There was significant statistical difference (P0.01). ③Correlation analysis showed: The levels of serum MMP-9 were positively correlated with the levels of serum NGAL both in the early-onset and late-onset severe PE groups (P0.01),but there was no correlation with placental MMP-9 mRNA expressions in all of the three groups.The placental NGAL mRNA expressions were positively correlated with the placental MMP-9 mRNA expressions in all of the three groups(P0.01),but there were no correlation with serum NGAL levels(P0.05). Conclusions:Increased levels of serum MMP-9,NGAL and decreased placental expressions of MMP-9,NGAL mRNA in PE pregnant women may be involved in the pathophysiological process of preeclampsia through different pathways.The positive correlation of their expression in serum and placenta shows that they may be involved in the pathogenesis of preeclampsia.
Efficient Financial Management Strategy For Indonesian Health BPJS

The purpose of this study is to find out and analyze the level of financial efficiency and efficient financial management strategies for a government-owned public sector company. The object of the research is the Indonesian Health Social Security Agency (Badan Penyelenggara Jaminan Sosial or Indonesian Health BPJS). Data analysis technique used in the research is Data Envelopment Analysis (DEA) to measure the efficiency level of Indonesian Health BPJS 2014-2016 with monthly data and SWOT analysis to determine efficient financial management strategies for Indonesian Health BPJS. Based on the results of the 2014-2016 Indonesian Health BPJS financial management data analysis in an efficient condition. The strategy that must be implemented for Indonesian Health BPJS for efficient financial management based on the SWOT analysis matrix can use aggressive strategies by maintaining financial management efficiency through regulating cash flow, recalculating the amount of contributions adjusted to economic conditions and gradually reducing debt important to overcome the deficit. To increase public trust, socialization and transparency of financial statements using information technology and cooperation with other health insurance to improve service quality can be an alternative strategy.