Miracle-dz/UniFAR-FTUs huggingface dataset:
Maneuvering Target Tracking based on Extended Kalman Filter

The curve fitting and simulation research of extended Kalman filter aiming at the problem of high-speed flight target tracking is studied.Mathematical model of target tracking,the parameter and state equation of system are established thus linear Kalman filter is extended,filter model is expanded in form of Taylor series near the estimated value of independent variable of function and the Jacques matrix is attained by derivation.The function of extended Kalman filter about this problem is acquired based on obtained observation and system systematic errors.The simulation results illustrate its effectiveness.
KINERJA APARATUR PEMERINTAHAN DESA TAMBAK REJO KECAMATAN KREMBUNG KABUPATEN SIDOARJO DALAM PELAYANAN E-KTP

This study aims to determine the performance of village government officials in providing E-KTP services in Tambak Rejo Village, Krembung Sidoarjo District. This research method uses descriptive qualitative. The type of data used in this study is qualitative data, which is divided into two, namely secondary and primary data. Data collection techniques are carried out by reviewing legislation, interviews and observations. Data analysis techniques using data reduction, data presentation and drawing conclusions. The technique of taking informants in this study used a purposive sampling technique. The performance of government officials in village E-KTP services is the focus of this research. Sources of data obtained from interviews and observations. The results of this study indicate that the performance of village government officials in the E-KTP service in Tambak Rejo Village is quite good and optimal. This can be seen from the five indicators which are quite optimal because the understanding of quality, quantity, independence, work commitment and timeliness is quite good.
Deviance Critical Values for Finite Sample Size When Testing the Reduction of Gaussian AR(1)-(G)ARCH(1,1) to Random Walk: Results from MATLAB vs. R-Project

Finite point percentile estimates of Demos and Sentana (1998), Andrews (2001) and Kluppelberg et al. (2002) deviance statistics are determined for the case of tting a null of a Gaussian random walk and the parameters lie on the boundary against the alternate univariate AR(1)-(G)ARCH(1; 1) and the likelihood maximising parameter set possibly lie in the adjacent neighbourhood. We present a way to adjust the asymptotic critical value for sample size when using default settings of the relevant estimation routines in MATLAB and R. The results demonstrate the comparative power of these software packages ability to the deviance statistic under small sample asymptotic conditions as sample length T \rightarrow \infty. Results presented by employing the graphical methods of Davidson and MacKinnon (1998) for power and size. These equations are applied to Deutsche mark/British pound FX data from Bollerslev and Ghysels (1996) which has become the generally accepted data set for benchmarking GARCH(1,1) software. The results have implications when calculating confi dence intervals (for avoiding type I,II errors) and selecting suitable software in numerical studies when investigating conditional heteroskedasticity in the case of solutions for the size parameter possibly lie on the boundary.
Strategy used by Small-Scale Food Entrepreneurs against the Impact of the Covid-19 Pandemic

The presence of small-scale food enterprises contributes significantly to the country's income while also providing numerous job opportunities in the community. The purpose of this study was to look at how small-scale food entrepreneurs try to stay in business while dealing with the effects of COVID-19. The strategies factor was developed using factor analysis, and descriptive analysis was used to examine demography, strategy practices, and the assistance in enhancing entrepreneurial strategy. This research has identified three strategies factors: add skills, service and supply, and reduce expenses. However, entrepreneurs must enhance their strategy by utilizing government assistance. As a result, the government must be vigilant in providing entrepreneurs with the assistance they require to rehabilitate businesses affected by the COVID-19 pandemic. Keywords: SMEs, New Norms, Strategy, Government Assistance eISSN 2514-751X © 2022. The Authors. Published for AMER & cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers and cE-Bs (Centre for Environment-Behaviour Studies), College of Built Environment, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/aje-bs.v7i23. 414
Utility maximization under g*-expectation

ABSTRACT In this article, we introduce a nonlinear expectation, called g*-expectation, based on g-expectation and consider the optimal utility under g*-expectation in the market with a risk-free bond and d risky stocks in finite trading interval [0, T]. We construct a stochastic family by taking advantage of the comparison theorem of backward stochastic differential equations and the g*-martingale. We generalize the results of Hu et al. (Annals of Applied Probability 28(2):1691–1712, 2005), and obtain the explicit forms of the optimal trading strategies both for exp -utility and the power utility, when g(t, z) = βt|z|2 + γtz.
SOCIAL MOVEMENT IN FARMERS’ RESISTANCE (A CASE STUDY OF THE UNITED SIMALINGKAR FARMERS UNION (SPSB)IN SIMALINGKAR A, DELISERDANG)

In 2017, farmers in Simalingkar A Village, Deliserdang, and security forces were involved in clashes. Many farmers were injured, and some were detained at the local police station. Until now, there has been no resolution of the conflict to lead to peace. The farmer conflict in Simalingkar A Village illustrates how complicated the agrarian conflict is in Indonesia, especially in North Sumatra. This research is a case study that provides an in-depth investigation into a single case or a small number of cases to better understand the conflict between farmers and PTPN II. With the existing limitations, farmers in Simalingkar who are members of the Simalingkar United Farmers Union (SPSB) made efforts to accommodate the hopes and demands of farmers to create a solution that benefits both parties. Based on the analysis using this theory, it can be concluded that the SPSB played a role in resolving the conflicts. They made efforts using several channels of interest articulation, including rallies, demonstrations, lobbying, and walking from Medan to Jakarta.
A Group of Deterioration Curves of Bridges Estimated by Extended EM Algorithm

This study proposes a method to separate data into several groups and perform regression analysis for each group at the same time statistically by using EM (Expectation and Maximization) algorithm or its extended formulation to nonlinear regression problem. With using the proposed method, a group of deterioration curves is estimated based on database of health index of 341 bridges by visual inspection in Gifu prefecture, Japan. Ordinary EM algorithm can treat linear regression only, so that the algorithm is extended to nonlinear regression problems. In our proposed method, the hidden parameter and standard deviation of error are estimated following ordinary EM algorithm, whereas nonlinear coefficients are estimated by using Particle Swarm Optimization, which is one of global optimization methods. Deterioration curves of the four bridge groups are estimated with the inspection database by the proposed algorithm.
The Maximum Spacing Method. An Estimation Method Related to the Maximum Likelihood Method

The maximum likelihood method (ML method) works properly if each contri- bution to the likelihood function is bounded from above. This is the case for all discrete distributions but not for all mixtures of continuous distributions and then the ML method can break down. Since the ML method can be obtained by approximating the Kullback-Leibler information we raise the following question. Is it possible to obtain better methods than the ML method by approximating the Kullback-Leibler information in another way? Using spacings we can obtain an approximation of the Kullback-Leibler information such that each component in the approximation is bounded from above. In this paper we present the method, which we call the maximum spacing method, and show consistency of the maximum spacing estimate. Some examples are given, which show that the new method works also in situations where the ML method breaks down.
Some geometric aspects of the calculus of variations in several independent variables

This paper describes some recent research on parametric prob- lems in the calculus of variations. It explains the relationship between these problems and the type of problem more usual in physics, where there is a given space of independent variables, and it gives an interpretation of the first variation formula in this context in terms of cohomology.
Set skilled workers free: the mobility of workers and innovation in Brazil

ABSTRACT Skilled workers mobility is an important means by which knowledge can be transferred across regions, leading to positive effects on innovation and interactive learning. In this paper, we aim to analyse whether the interregional mobility of skilled workers has impact on innovation at the regional level. We use microdata on employment in Brazil to track the mobility of skilled workers, focusing on STEM occupations. We apply the knowledge production function approach to assess the impact of mobility on regional innovation, focusing on the interregional mobility of skilled workers in an emerging country such as Brazil. Our results show that the mobility of skilled workers has a positive impact on regional innovation and that the circulation of skilled workers can generate positive externalities due to the presence of new knowledge in a region and by increasing opportunities for interactions.
P-type conductivity in bulk AlxGa1-xN and AlxGa1-xN/AlyGa1-yN superlattices with average Al mole fraction > 20%

Synchrotron radiation photoemission spectroscopy reveals enhanced oxygen incorporation in AlxGa1−xN as the Al mole fraction increases. It is shown that the increased oxygen donor incorporation can result in a conductivity-type change from p-type to n-type in Mg-doped AlxGa1−xN. Consistent with the conductivity-type change, epitaxial Al0.20Ga0. 80N films exhibit n-type conductivity despite heavy Mg doping. The p-type conductivity of bulk AlxGa1−xN with a high Al mole fraction can be improved by employing AlxGa1−xN/AlyGa1−yN superlattices (SLs). At 300 K, Mg-doped Al0.17Ga0. 83N/Al0.36Ga0. 64N SLs (average Al mole fraction of 23%) exhibit strong p-type conductivity with a specific resistance of 4.6 Ω cm, a hole mobility of 18.8 cm2/Vs, and an acceptor activation energy of 195 meV.
First‐principles study of the electronic structures and optical properties of Cr2+‐doped ZnSe as a function of impurity concentration

First‐principles calculations on the basis of density‐functional theory are performed in order to investigate the electronic structures and optical properties of Cr2+:ZnSe with different impurity concentration. Five configurations with the substitution of Zn by one Cr atom in different ZnSe supercells are considered. The results show that the absorption peak intensity and peak width decrease with diminishing Cr2+ concentration and a redshift is observed in the absorption spectra. The experimental observations are in good agreement with the calculated results. An appropriate explanation of the experimental results is presented.
Factors Affecting the Implementation of Corporate Social Responsibility in the Health Technology Industry in Greece

Background: Corporate social responsibility (CSR) is an evolving business strategy worldwide, focusing on the sustainability of the enterprise and the provision of multiple benefits to the societies and economies. Objective: The aim of this paper was to explore the encouraging and deterrent factors for the implementation of CSR actions in companies specializing in pharmaceutical and biomedical products as well as in medical equipment in Greece. Methods: A cross-sectional study was conducted (April to June 2021) in member-companies of the Hellenic Association of Pharmaceutical Companies, the Panhellenic Association of Pharmaceutical Industry and the Association of Health-Research and Biotechnology Industry. Data collection was carried out via an anonymous, self-administered questionnaire. Descriptive and inferential statistical analyses were performed, using SPSS version 25 (IBM Corp., Armonk, NY, USA). The significance level was set at p≤0.05. Results: One hundred twelve questionnaires were distributed, out of which 87 were returned (response rate 77.7%). 81.1% of companies included CSR in their annual strategy, while only 32.4% of them follow the Global Reporting Initiative standards. The majority (62.2%) disposes ≤€100.000 from their annual turnover for CSR actions. The contribution to society and the ethical commitment of the enterprise are stated as the main encouraging factors for CSR, while bureaucracy and the lack of incentives as deterrents. Pharmaceutical companies reported social acceptance as the major CSR enabler compared to other companies (p=0.034), while companies specializing only in medical equipment/biotechnology mentioned industry competition (p=0.003). Bureaucracy has been revealed as the major disincentive for all participating companies. Corporate advertising is found as an important encouraging factor for the adoption of CSR for the international companies compared to the national ones (p=0.023). Moreover, 97.3% stated that the government should reward socially responsible companies by increasing financial incentives. Conclusion: The health technology industry in Greece implements CSR actions. The company's contribution to society and its ethical commitment are important encouraging factors for CSR, while bureaucracy and lack of government incentives are the main deterrents. The reward of socially sensitive companies by the government would provide significant entrepreneurial and societal benefits, supporting the overall Greek economy.
A General Framework of Large-Scale Convex Optimization Using Jensen Surrogates and Acceleration Techniques

OF THE DISSERTATION A General Framework of Large-Scale Convex Optimization Using Jensen Surrogates and Acceleration Techniques by Soysal Degirmenci Doctor of Philosophy in Electrical Engineering Washington University in St. Louis, 2016 Professor Joseph A. O’Sullivan, Chair In a world where data rates are growing faster than computing power, algorithmic acceleration based on developments in mathematical optimization plays a crucial role in narrowing the gap between the two. As the scale of optimization problems in many fields is getting larger, we need faster optimization methods that not only work well in theory, but also work well in practice by exploiting underlying state-of-the-art computing technology. In this document, we introduce a unified framework of large-scale convex optimization using Jensen surrogates, an iterative optimization method that has been used in different fields since the 1970s. After this general treatment, we present non-asymptotic convergence analysis of this family of methods and the motivation behind developing accelerated variants. Moreover, we discuss widely used acceleration techniques for convex optimization and then investigate acceleration techniques that can be used within the Jensen surrogate framework while proposing several novel acceleration methods. Furthermore, we show that proposed methods perform competitively with or better than state-of-the-art algorithms for several
Sustainable Management Practices: An Analytical Study of Balancing Profit and Purpose

Businesses in India are starting to realise the value of social and environmental responsibility, which is why sustainable management practices that strike a balance between profit and purpose are gaining favour. Businesses are adopting tactics that benefit the environment and society while simultaneously generating profits. Adopting environmentally friendly technologies and methods is a crucial component of sustainable management practises. To lessen their carbon impact, companies are investing more and more in renewable energy sources like solar energy. They are also taking steps to reduce trash and use less energy to have a minimal negative impact on the environment. Additionally, business strategies are incorporating social responsibility. Numerous businesses fund programmes for education and healthcare, engage in community development activities, and encourage inclusivity and diversity in the workplace. India’s businesses are building a more sustainable future that benefits both their bottom line and society at large by balancing financial success with social and environmental objectives.
Forecasting Northern Hemisphere 700-mb Geopotential Height Anomalies Using Empirical Normal Modes

Abstract Multivariate linear prediction based on single-lag inverse modeling is developed further and critically examined. The method is applied to the National Meteorological Center analyses of Northern Hemisphere 700-mb geopotential height anomalies, which have been filtered to eliminate periods shorter than 10 days. Empirically derived normal modes of the randomly forced linear system are usually correlated, even at zero lag, suggesting that combinations of modes should be used in predictions. Due to nonlinearities in the dynamics and the neglect of interactions with other pressure levels, the lag at which the analysis is performed is crucial; best predictions obtain when the autocovariances involved in the analysis are calculated at a lag comparable to the exponential decay times of the modes. Errors in prediction have a significant seasonal dependence, indicating that the annual cycle affects the higher-order statistics of the field. Optimized linear predictions using this method are useful for about.
Phenomenological tests of modified gravity

The main goal of this thesis is to test the viability of some modified theories of gravity suitable to describe gravitational phenomena at cosmological and astronomical scales. In the first part of the Thesis we study the viability of the Brans-Dicke theory (BDT) and the effective scalar-tensor theory according (gBDT) to cosmological observations. We assume that either BDT as gBDT are limiting cases on very large scales of more general scalar-tensor theories involving derivative self-interactions which have running Newton’s constant. In order to implement this assumption in a simple way we consider two types of models. The restricted models that correspond to the standard BDT with Newton constant today equal to measured Newton constant in solar-system experiments. The unrestricted models, correspond to the case where the Newton’s constant today is a free parameter, and the cosmological GN is allowed to be different than in the solar system as in more general theories. We first explore the relevant theoretical aspects of these models. Afterwards, by using different analysis techniques we fitted cosmological observations. Finally we forecast limits of BDT by considering estimated covariance matrices for measurements of the matter power spectrum in redshift space from Euclid. The effective scalar-tensor theory gBDT arises from a phenomenological setup of parametrization of the LSS growth equations, we found estimates of modifications of the growth by using the correspondance between the estimates for the gBDT parameters. In the second part of the Thesis we present an extension of the Parameterized Post-Newtonian (PPN) formalism that is able to handle Vainsteinian corrections. We argue that theories with a Vainshtein mechanism must be expanded using two small parameters. In this Parameterized Post-Newtonian-Vainshteinian (PPNV) expansion, the primary expansion parameter which controls the PPN order is as usual the velocity v. The secondary expansion parameter, α, controls the strength of the Vainshteinian correction and is a theory-specific combination of the Schwarzschild radius and the Vainshtein radius of the source that is independent of its mass. We present the general framework and apply it to the Cubic galileon theory both inside and outside the Vainshtein radius. The PPNV framework can be used to determine the compatibility of such theories with solar system and other strong-field data.
First-in-human phase 1 dose escalation study of the KAT6 inhibitor PF-07248144 in patients with advanced solid tumors.

1054 Background: KAT6A and KAT6B regulate gene transcription via acetylation of histone H3K23 and their dysregulation drives lineage-specific gene expression in cancer. We report dose escalation data from the first-in-human phase 1 (Part 1A and 1B; NCT04606446) study of the KAT6-selective inhibitor PF-07248144. Methods: Part 1A (monotherapy dose escalation) enrolled patients (pts) with advanced/metastatic ER+/HER2− breast cancer (mBC), CRPC, or NSCLC, resistant/intolerant to standard therapy. Part 1B (PF-07248144 + fulvestrant combination dose escalation) enrolled pts with advanced/metastatic ER+/HER2- mBC with disease progression after ≥1 line of CDK4/6 inhibitor and endocrine therapy (ET). PF-07248144 (1-15 mg in Part 1A) was administered orally once per day (QD) in 28-day cycles following Bayesian design with overdose control. Study objectives: primary - assess PF-07248144 safety and tolerability, including dose limiting toxicities (DLT); secondary - evaluate PF-07248144 pharmacokinetics (PK); and exploratory - evaluate pharmacodynamics (PD; peripheral blood mononuclear cells [PBMC] and tumor H3K23Ac inhibition) and antitumor activity (using RECIST 1.1 by investigator assessment). Results: At data cut off (30 Sep 2022), 29 pts were enrolled: 25 in Part 1A (12 mBC, 11 CRPC, 2 NSCLC) and 4 in Part 1B (mBC). Part 1A evaluated 5 dose levels (1-15 mg QD) and Part 1B evaluated 5 mg PF-07248144 QD + 500 mg fulvestrant. Median age across Part 1A and 1B was 67 yrs (range 48-90). A total of 83% (Part 1A) and 75% (Part 1B) of pts with mBC had received > 3 prior lines of systemic anticancer therapy. Three DLTs (Grade 3 [G3] neutropenia) were observed: 2 in Part 1A (8 mg and 2 mg QD) and 1 in Part 1B (5 mg QD). A maximum tolerated dose was not identified; 5 mg QD was identified as the recommended dose for expansion for both monotherapy and fulvestrant combination. Across Parts 1A and 1B, treatment-related AEs (TRAEs; any grade) in ≥20% pts were dysgeusia (72%), anemia (52%), neutropenia (48%), thrombocytopenia (31%), diarrhea (31%), white blood cells (WBC) decreased (28%), fatigue (24%), and aspartate aminotransferase increased (21%); the majority of TRAEs were G1-2. TRAEs ≥G3 seen in > 1 pt were neutropenia (6/29; 21%), anemia (5/29; 17%), and WBC decreased (2/29; 7%). PF-07248144 PK was linear between 1 and 15 mg. H3K23Ac inhibition (≥70%) in PBMCs was achieved at steady state at doses of ≥1 mg. Tumor H3K23Ac levels were reduced by > 50% in 4 paired tumor biopsies at exposures associated with preclinical anti-tumor activity. Confirmed and durable partial responses were observed in 1/8 (Part 1A) and 2/4 (Part 1B) response-evaluable pts with ER+/HER2- mBC who progressed on prior ET+CDK4/6 inhibitor treatment. Conclusions: PF-07248144 was well tolerated and associated with strong KAT6 inhibition in PBMCs and tumors and confirmed partial responses in pts with heavily treated ER+/HER2- mBC during dose escalation. Clinical trial information: NCT04606446 .