Miracle-dz/UniFAR-FTUs huggingface dataset:
A Decentralized IoT Architecture of Distributed Energy Resources in Virtual Power Plant

Under the background of the Internet of Energy (IoE), building the distributed energy resources management system (DERMS) is the premise for further research on a virtual power plant (VPP). Now, the design solutions of DERMS are mostly based on supervisory control and data acquisition (SCADA) architecture and mainstream Industrial Internet of Things (IIoT) architecture. Both have the problems of obvious centralization characteristics and complex system layers. Hence, we propose a decentralized IPT cloud/fog architecture. IPT fog connects with underlying devices through fog nodes. IPT cloud connects multiple IPT fogs and provides local and remote services. Compared with the existing solutions, this architecture can achieve the same time synchronization accuracy and has better performance in terms of system layers, real-time capacity, construction speed, and availability. The synchronization accuracy is less than 1 $\mu \text{s}$ . The I/O response time within the fog network is less than 1 ms, and that across the fog network is less than 10 ms. Finally, a specific application case of a wastewater treatment VPP is introduced to verify the feasibility of the IPT cloud/fog architecture.
Inference for serological surveys investigating past exposures to infections resulting in long-lasting immunity – an approach using finite mixture models with concomitant information

This paper is concerned with developing a latent class mixture modelling technique which efficiently exploits data from serological surveys aiming to investigate past exposures to infections resulting in long-term or life-lasting immunity. Mixture components featured by antibody assays’ distribution are associated with the serological groups in the population, whilst the probability mixture that an individual belongs to the positive serological group is regarded as an age-dependent prevalence. The latter embeds a mechanistic model which explains the infection process, accounting for heterogeneities, contact patterns in the population and incorporating elements of study design. A Bayesian framework for statistical inference using Markov chain Monte Carlo estimation methods naturally accommodates missing responses in the data and allows straightforward assessement of uncertainties in nonlinear models. The applicability of the method is illustrated by investigating past exposure to varicella zoster virus infection in pre-school children, using data from a large scale UK cohort study which included a cross-sectional serological survey based on oral fluid samples.
Techniques for statistical analysis and prediction of geophysical fluid systems

Abstract Application of statistical estimators to analysis and prediction is examined from the point of view of geophysical fluid dynamics. The fundamental difficulty is that estimators constructed from observational records of limited length (the usual case in GFD) are sensitive to sampling errors in the statistics upon which they are based. To achieve meaningful results, the number of data, or input, parameters must be limited. The relationship between statistical and dynamical models (particularly clear for linear systems) coupled with certain statistical methods are explored with respect to the problem of input parameter selection, both for linear and nonlinear systems. Methods of assessing the effects of sampling errors in hindcasts are discussed and techniques for minimizing these effects in forecasts are evaluated. A method of efficiently condensing statistical models to a few input parameters and transfer functions is given. Finally the steps of hindcast analysis and forecaster construction are di.
Construction and performance of beamline NE1B for circularly polarized soft x rays in the TRISTAN accumulation ring

Beamline BL‐NE1B has been constructed at the 6.5‐GeV TRISTAN accumulation ring (AR) for applications of circular polarization in the soft x‐ray region. Circularly polarized soft x rays are produced by a helical undulator operation mode of an insertion device, EMPW♯NE1. The fundamental harmonic peak can be tuned from 0.25 to 2 keV. The NE1B beamline is equipped with a vertical‐dispersion spherical‐grating monochromator using the Rowland mounting. A monochromatized circularly polarized photon flux higher than ∼1011 photons/s has been obtained over an energy range from 0.25 to 1.25 keV with an energy resolution (E/ΔE) of around 1500–300. An energy resolution of about 5000 has been achieved at 400 eV with slit widths of 10 and 10 μm.
On the modeling of dynamic friction phenomena

A low-dimensional dynamic model of frictional interactions is proposed by considering microscopic interactions between nominally flat surfaces. Coupling is introduced between the tangential motion and the separation of the surfaces due to the asperity contact between the surfaces. The numerical and analytical predictions of the resulting nonlinear model are found to qualitatively agree with a number of experimentally observed properties of friction. The paper suggests a means for arriving at a friction model in which ad hoc assumptions on the form of functions appear at a more fundamental level in the derivation than in previous modeling work. Indeed, properties of the present model are believed to be generic for models incorporating similar interactions. Ein niedrigdimensionales, dynamisches Modell von Reibungswechselwirkungen wird vorgeschlagen, indem mikroskopische Wechselwirkungen zwischen nominell ebenen Oberflachen in Betracht genommen werden. Eine Kopplung zwischen der tangentialen Bewegung und der Trennung der Oberflachen auf Grund des unebenen Kontaktes zwischen den Oberflachen wird eingefuhrt. Es wird festgestellt, das die numerischen und analytischen Vorhersagen des resultierenden nicht-linearen Modells qualitativ mit einer Reihe von experimentell beobachteten Eigenschaften von Reibung ubereinstimmen. Dieser Artikel zeigt einen moglichen Weg wie ein Reibungsmodell erreicht werden kann, in dem ad hoc Annahmen in der Form der Gleichungen in der Herleitung auf einem mehr fundamentalen Niveau erscheinen als in den bisher entwickelten Modellen. In der Tat erscheinen Eigenschaften des vorliegenden Modells als generisch fur Modelle, die ahnliche Wechselwirkungen berucksichtigen.
Skilled Labor Productivity and Cross-Country Income Differences

This paper revisits the question of how allowing for imperfect substitution among workers with different skill levels affects the results of development accounting. We consider a range of models that nest the approaches in the literature and calibrate them to a common set of moments, including particularly evidence on the wage gains of migrants. We obtain two main results. First, human capital accounts for between one-half and three-fourths of cross-country income gaps. Second, human capital accounts for only modest variation in the relative productivity of skilled versus unskilled labor. (JEL E24, E25, J22, J23, J24, J31, J61)
Sebuah Tinjauan Literatur Sistematis Faktor yang Memengaruhi Kualitas Audit di Indonesia

This study aims to explore the factors that influence audit quality in Indonesia. The method used is a systematical literature review. Data analysis technique used is content analysis and bibliometric. research data from 125 articles on audit quality from journals indexed in the Science and Technology Index (Sinta) during 2016-2020. The results show that (1) the most productive researcher is I Dewa Nyoman Badera and Udayana University is the institution that publishes the most research results on audit quality articles in Indonesia, there are 5 dominant factors out of 56 factors that influence audit quality, namely independence, competence , work experience, due professional care, and time budget pressure, the majority of articles use agency theory, data collection techniques use questionnaires with multiple linear regression data analysis techniques. (2) The majority of articles in the field of audit quality are written by two people and collaboration between researchers in the field of audit quality tends to be done with colleagues. (3) Opportunities for further research in the field of audit quality can examine the factors that influence audit quality by referring to research abroad such as computer-assisted audit techniques, role stress, work environment, and auditor compensation, can conduct research using the latest data analysis techniques and link it with other theories, and collaborate between institutions and international collaborations.
Time to Onset of Gemcitabine-induced Thrombotic Microangiopathy in a Japanese Population: A Case Series and Large-scale Pharmacovigilance Analysis.

BACKGROUND/AIM Gemcitabine-induced thrombotic microangiopathy (G-TMA) is associated with a high mortality rate. However, owing to its low incidence, data on G-TMA remain limited. Therefore, a detailed review of G-TMA cases is critical to understand this adverse event. In addition, reviewing literature and pharmacovigilance analytics may be useful to characterise G-TMA. Here, time to onset of G-TMA was analysed based on available data. PATIENTS AND METHODS We collected data for a case of TMA following gemcitabine administration at the Tokyo Metropolitan Geriatric Hospital. We also reviewed the literature on G-TMA cases in Japan from April 2000 to March 2022 to provide a case series. Moreover, we performed time-to-onset analysis of G-TMA using the data from the Japanese Adverse Drug Event Report (JADER) database. RESULTS Our case involved a patient with pancreatic cancer who developed thrombotic thrombocytopenic purpura 13 months after starting gemcitabine treatment. From the literature reviewed, in 14 out of 17 cases, G-TMA occurred 5-8 months after treatment initiation. The analysis of data from the JADER database showed that the median time to onset of G-TMA was 161 days. Weibull shape parameter analysis showed that the pattern of onset of G-TMA represented a random failure. CONCLUSION This study elucidated the time to onset of G-TMA in a Japanese population. Weibull shape parameter analysis showed that G-TMA may not necessarily develop in a dose-dependent manner. These results may be useful for monitoring G-TMA in the clinical setting.
Comparative Analysis of Clustering Algorithm for Facial Recognition System

A large part of the video surveillance systems involves dealing with face detection techniques on unlabeled faces. We define several classes of faces to detect them from a surveillance footage defined using different clustering algorithms. In this paper, authors have proposed a facial clustering technique for low-resolution facial dataset obtained from video surveillance footage with the help of HAAR cascade classifier. Different models like ResNet 50 and Inception ResNet V2 were used for feature extraction with weights pre-trained on ImageNet Dataset. Further, several combinations of Scaling and calculated Dimensionality Reduction techniques were applied before being fed into clustering algorithms and finally accuracy was calculated on obtained clusters.
Command-filtered adaptive containment control of fractional-order multi-agent systems via event-triggered mechanism

In this paper, the containment control problem of a class of fractional-order nonlinear multi-agent systems is studied, in which the multi-agent system contains unmeasured states and system nonlinearity. An adaptive neural network backstepping controller combined with event-triggered mechanism is proposed to ensure all followers can converge to the convex hull spanned by the leaders. The command filter is introduced into the proposed fractional-order control system to obtain fractional derivatives for virtual control functions continuously and avoid “explosion of complexity. ” From the Lyapunov stability theory, all the signals can remain semi-global uniformly ultimately bounded in the closed-loop system. Numerical example and simulation results confirm the feasibility of the proposed control method.
Genipin Attenuates Diabetic Cognitive Impairment by Reducing Lipid Accumulation and Promoting Mitochondrial Fusion via FABP4/Mfn1 Signaling in Microglia

The present study was conducted to evaluate the effect of genipin (GEN) on the microglia of diabetic cognitive impairment and explore its potential mechanism. Diabetic mice were induced by STZ/HFD, while GEN was intragastrically and intraventricularly treated. The human microglia cell HMC3 was induced by LPS/HG/PA. As a result, GEN attenuated diabetic symptoms and diabetic cognitive impairment-related behavior in novel object recognition, Morris water maze and passive avoidance tests. GEN inhibited M1 microglia polarization, lipid accumulation, oxidative stress and promoted mitochondrial fusion via FABP4/Mfn1. FABP4 overexpression, Mfn1 overexpression, selective FABP4 inhibitor BMS, and Mfn1 SiRNA were employed for investigating the mechanism. The inhibitory effect of GEN on ROS may be associated with NOX2 signaling and the translocation of p47phox/p67phox to the cell membrane. With the ROS scavenger NAC, it was proved that ROS participated in GEN-mediated inflammation and lipid accumulation. GEN inhibited the phosphorylation and nucleus translocation of NF-κB. GEN inhibited the ubiquitination of Mfn1, which was mediated by the E3 ligase Hrd1. GEN also enhanced microglia phagocytosis. Molecular docking predicted that GEN may interact with FABP4 by hydrogen bond at the S53 and R78 residues. In conclusion, GEN attenuated diabetic cognitive impairment by inhibiting inflammation, lipid accumulation and promoting mitochondrial fusion via FABP4/Mfn1 signaling.
Simulating effects of agricultural intensification and climate change: Nitrogen fertilisation and drought stress decrease insect herbivore performance

Biodiversity is globally under pressure, and the current decline in insect biomass and diversity is likely caused by human activities. Key drivers of biodiversity loss include agricultural intensification and anthropogenic climate change. Nevertheless, a thorough understanding of potential interactions between both factors and the mechanisms underlying insect declines, in general, is still lacking. Here, the authors investigate the combined effects of nitrogen fertilisation and drought, as applied to host plants, on the preference and performance of the butterfly Lycaena tityrus. Individuals performed best on plants having received medium nitrogen levels, while performance was reduced by either a lack of or strong fertilisation, the former potentially caused by nitrogen limitation and the latter by increased concentrations of toxic allelochemicals. Female oviposition preference though was positively related to nitrogen fertilisation, resulting in a mismatch between preference and offspring performance at high nitrogen levels. Plant drought stress additionally reduced herbivore performance, and females appeared to suffer more from low‐quality food than males. Our results indicate that increasing nitrogen fertilisation, as applied in intensive agriculture, may substantially reduce host‐plant quality for insect herbivores, which may be exaggerated in the course of climate change due to the more frequent occurrence of droughts. Our study thus contributes to a better understanding of the mechanisms underlying human‐driven insect declines in agricultural landscapes and beyond.
Properties of the arctic tropopause

A climatology of Arctic tropopause properties is derived using European Centre for Medium‐Range Weather Forecasts Re‐analyses, and is shown to be consistent with that from the Historical Arctic Radiosonde Archive. It is demonstrated that the thermal tropopause is generally easy to define from the temperature profile, even in the polar night, in contrast with the situation in Antarctic winter. In winter, the tropopause tends to have higher pressure and temperature in the western hemisphere and lower values in the eastern hemisphere. In summer the situation is more zonally symmetric with the higher pressure and temperature tropopause region near the pole. Strong annual cycles are seen in both temperature and pressure. these cycles being out of phase temporally. It is hypothesized that the tropopause temperature is largely determined by the approximately isothermal lower‐stratospheric temperature, while the pressure is more strongly influenced by changes in the tropospheric lapse rate due to dynamical mechanisms. The multi‐decade radiosonde dataset (1965–1990) shows some evidence of a long‐term trend in tropopause properties. The wintertime tropopause pressure has decreased by approximately 14 mb per decade, while that in other seasons has decreased by around 5 mb per decade. The tropopause temperature only shows a significant trend during winter, having decreased by 1.6 K per decade since 1965. These changes are discussed in relation to changes in ozone and greenhouse gases, and the strength of the stratospheric vortex. In particular, the winter tropopause properties appear to be strongly correlated with the Arctic Oscillation Index.
Gauge Invariance and Mass

It is argued that the gauge invariance of a vector field does not necessarily imply zero mass for an associated particle if the current vector coupling is sufficiently strong. This situation may permit a deeper understanding of nucleonic charge conservation as a manifestation of a gauge invariance, without the obvious conflict with experience that a massless particle entails. (auth)
The Effect of Folic Acid Adjuvant on Cognitive Function on Patients with Chronic Schizophrenia

ABSTRACT Background: Schizophrenia is a severe mental disorder that associated with daily life and social function deterioration and could be accompanied with cognitive deficits. Meanwhile, hyperhomocysteinemia (HHcy) is the increasing homocysteine (Hcy) level which might be the one of biological factor in schizophrenia. In recent study with healthy subjects, it was known that there was a correlation between total Hcy level and cognitive function. Folic acid is part of water-soluble vitamin B and expected to have important role in oxidative stress by preventing hyperhomocysteinemia.Objective: This study aimed to elaborate the effect of folic acid adjuvant to improve cognitive function in chronic schizophrenia patients.Methods: This was a double-blinded randomized controlled trial with pre and post-test clinical trial design. This study included 32 patients in control group and 32 patients in treatment group. MOCA-INA score was examined in all subjects on the first day. Then, all subjects were given standard antipsychotic treatment plus folic acid adjuvant / placebo during 3 week of hospitalized treatment and 1 week of outpatient treatment. When the 4-week treatment finished, the subjects were followed by MOCA-INA post-test.Results: In this study, we had the significant difference of pre and post-test MOCA-INA score in the control group (p<0.001), significant difference of pre and post-test MOCA-INA score in the treatment group (p<0.001), and significant difference of post-test MOCA-INA score between the control and treatment group (p<0.001). Conclusion: Folic acid adjuvants significantly improved cognitive function in chronic schizophrenic patients.
Binary Regression Using an Extended Beta-Binomial Distribution, with Discussion of Correlation Induced by Covariate Measurement Errors

Abstract The beta-binomial distribution is extended to allow negative correlations among binary variates within an experimental unit. Regression models are proposed for both the binary variate response rate and for the pairwise correlation between binary variates, and corresponding likelihood estimation procedures are described. Binary regression problems are also considered, in which measurement errors in the regression variables represent the sole source of overdispersion. Some corresponding response rate estimation procedures are described and illustrated.
Generalized Penalty Methods in Topological Spaces

Abstract : The sequential unconstrained minimization technique solves a constrained minimization problem by minimizing a sequence of auxiliary functions. Assuming the existence of a sequence of points related to the minimizing sequence, the usual convergence results are shown to hold in a general topological space. This generalizes certain results obtained previously at RAC and elsewhere. (Author)
Effects of Attachment Relationship on Adolescent Depression

Depression is a serious psychological problem, It will hurt the development of the adolescent. Depression can cause negative psychological feelings and can also hurt people's academic life. Depression is more likely to occur in the adolescent population and is growing at a faster rate, with its prevalence reaching 20-40%. In this paper, we investigate the mechanism of parental attachment and peer attachment in adolescents with depression, and suggest the establishment of secure attachment relationships from the perspective of parents and schools, aiming to reduce the occurrence of depression in adolescents by establishing secure attachment relationships.
Improved Hemocompatibility on Superhemophobic Micro–Nano-Structured Titanium Surfaces

Blood-contacting titanium-based implants such as endovascular stents and heart valve casings are prone to blood clotting due to improper interactions at the surface level. In complement, the current clinical demand for cardiovascular implants is at a new apex. Hence, there is a crucial necessity to fabricate an implant with optimal mechanical properties and improved blood compatibility, while simultaneously interacting differentially with cells and other microbial agents. The present study intends to develop a superhydrophobic implant surface with the novel micro–nano topography, developed using a facile thermochemical process. The surface topography, apparent contact angle, and crystal structure are characterized on different surfaces. The hemo/blood compatibility on different surfaces is assessed by evaluating hemolysis, fibrinogen adsorption, cell adhesion and identification, thrombin generation, complement activation, and whole blood clotting kinetics. The results indicate that the super-hemo/hydrophobic micro–nano titanium surface improved hemocompatibility by significantly reducing fibrinogen adsorption, platelet adhesion, and leukocyte adhesion. Thus, the developed surface has high potential to be used as an implant. Further studies are directed towards analyzing the mechanisms causing the improved hemocompatibility of micro/nano surface features under dynamic in vitro and in vivo conditions.