Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Entrepreneurial Performance of G7 Countries Under Context of Social Sustainable Development Goals: A Multicriteria Decision Analysis Approach

Entrepreneurship is a multilevel concept that connects social, environmental, and economic aspects of sustainability for societal developments, entrepreneurial processes, and market transformations. Social sustainability covers various social aspects and concerns that modern societies should achieve to improve their social infrastructures. Entrepreneurship is one of the main pivots that can strongly affect achieving social sustainability goals. Therefore, considering the current efforts of countries to reach their optimum level of social sustainability and strategic decision-making for long-term goals requires evaluating the current entrepreneurial performance in the first step. In this article, we aim to develop a multicriteria evaluation model using Shannon's entropy and measurement of alternatives and ranking according to the compromise solution to evaluate countries with the most influential entrepreneurial activities which contribute to socially sustainable development goals. As a case study, member countries of the Group of Seven (G7) are selected to assess their entrepreneurial performance using seven key indicators. These indicators are employees by business size, enterprises by business size, starting a business, women inventors, running a business, self-employed with employees, and young self-employed and are chosen for the analysis. The results show that Italy and the United States of America have been the pioneers in utilizing entrepreneurial activities to improve their social sustainability.
An efficient algorithm to estimate optimal preform die shape parameters in forging

An optimisation method for design of intermediate die shapes needed in some forging operations is presented. The basic problem consists of finding an optimal two‐step forging sequence by automatically designing the shape of the preforming tools. The optimisation problem is defined based on an inverse formulation. The objective function of the optimisation problem is a function describing the quality of the obtained part by measuring the die underfill. The finite element method is used to simulate the forging problem. The optimisation method is based on a modified sequential unconstrained minimisation technique and a gradient method. The sensitivity‐dependent algorithm requires computing the derivatives of the objective function with respect to the design variables defining the preform shapes. A direct differentiation method has been developed for this purpose. The optimisation scheme is demonstrated with two axisymmetric forging examples in which optimal preform dies are obtained.
Loco-Regional Treatment of the Primary Tumor in De Novo Metastatic Breast Cancer Patients Undergoing Front-Line Chemotherapy

Simple Summary Approximately 8% of breast cancers are diagnosed with synchronous distant metastasis at initial diagnosis, a situation known as de novo metastatic disease. Despite advances in the systemic treatment of metastatic disease, the optimal management of de novo metastatic breast cancer has been a matter of debate over the past few decades. Several studies have investigated the role of loco-regional treatment of the primary tumor and whether it was associated with better oncological outcomes. However, the results of these trials have been highly heterogeneous and inconsistent, leaving this question unresolved. In this retrospective study, we aimed to investigate the characteristics, treatment, and long-term outcomes of a cohort of consecutive patients with de novo metastatic disease who received loco-regional treatment after front-line chemotherapy. The results of this analysis may help identify interesting differences among de novo metastatic breast cancer patients that could help clarify the management of this controversial subgroup of patients. Abstract Background: Loco-regional therapy (LRT) in de novo metastatic breast cancer (MBC) has been investigated in several clinical trials, with heterogeneous and conflicting results. Methods: We conducted a retrospective study of de novo MBC patients treated with front-line chemotherapy (FLC) followed by LRT of the primary tumor. Our aims were to evaluate the characteristics, treatment, and oncological outcomes in terms of progression-free survival (PFS), distant progression-free survival (DPFS), and overall survival (OS) of de novo MBC. We also investigated possible subgroups of patients with better outcomes according to menopausal status, biological sub-type, location, number of metastases, and radiologic complete response after FLC. Results: We included 61 patients in the study. After a median follow-up of 55 months, disease progression occurred in 60.7% of patients and 49.2% died. There were no significant differences in PFS, DPFS, and OS between different subgroups of de novo MBC patients. A trend toward better PFS and DPFS was observed in triple-positive tumors, without a statistically significant difference in OS. Conclusions: No specific subgroup of de novo MBC patients showed a statistically significant survival advantage after FLC followed by LRT of the primary tumor.
In Silico Study of Mangostin Compounds and Its Derivatives as Inhibitors of α-Glucosidase Enzymes for Anti-Diabetic Studies

Simple Summary Diabetes is often treated with drugs, such as acarbose, metformin, and sulfonylurea. These drugs can cause various side effects such as stomach upset and gastrointestinal symptoms. Therefore, natural compounds and their derivatives, such as mangostin, are the best alternatives to these drugs. In silico potential antidiabetic tests can be performed as an initial analysis to determine which compound offers the best result. Available methods include molecular docking and molecular dynamics simulations. Based on these results, γ-mangostin had the best potential among the compounds. Therefore, it can be used to prepare better derivatives to replace acarbose as an antidiabetic drug. Abstract Diabetes is a chronic disease with a high mortality rate worldwide and can cause other diseases such as kidney damage, narrowing of blood vessels, and heart disease. The concomitant use of drugs such as metformin, sulfonylurea, miglitol, and acarbose may cause side effects with long-term administration. Therefore, natural ingredients are the best choice, considering that their long-term side effects are not significant. One of the compounds that can be used as a candidate antidiabetic is mangostin; however, information on the molecular mechanism needs to be further analyzed through molecular docking, simulating molecular dynamics, and testing the in silico antidiabetic potential. This study focused on modeling the protein structure, molecular docking, and molecular dynamics simulations and analyses. This process produces RMSD values, free energies, and intermolecular hydrogen bonding. Based on the analysis results, all molecular dynamics simulations can occur under physiological conditions, and γ-mangostin is the best among the test compounds.
PENGARUH KECERDASAN EMOSIONAL DAN GENDER SEBAGAI MODERASI TERHADAP EFIKASI DIRI DALAM PENGAMBILAN KEPUTUSAN KARIER DI SMA NEGERI

Penelitian ini bertujuan untuk mengetahui Pengaruh Kecerdasan Emosional Dan Gender Sebagai Moderasi Terhadap Efikasi Diri Dalam Pengambilan Keputusan Karier DiSMAN 3 Babelan.Penelitian ini merupakan penelitian kuantitatif dengan menggunakan analisis regresi moderasi. Sampel penelitian berjumlah 263 siswa kelas XIISMAN 3 Babelan.
The Use of MOSUMS for Quality Control

The use of moving sums (MOSUMS) of recursively calculated residuals (Hack1 [9]) is demonstrated for testing the constancy of the expected value of a series of T independent observations normally distributed with equal variances. The cases of known or unknown expected value are treated separately; in the situation of unknown variance the recursive estimation of the variance is suggested in the course of the sequential application of the test procedure. Conservative probability limits are constructed and an assessment of the effective error probabilities and the power of the method is given in simulation studies. Finally the use of the procedure is demonstrated in an example.
Heterogeneity, aggregation and long memory in lottery sales: some empirical evidence for Brazil

ABSTRACT The paper investigates the prevalence of long memory for lottery sales, as previous literature suggests that aggregation of heterogeneous agents can potentially lead to a fractional differencing parameter consistent with highly persistent processes. Applications are considered for sales of 7 different lottery modalities in Brazil and also disaggregated at the level of federative units. The selected estimated models considered controls in terms of dummy variables for prize rollovers, special draws and weekends´ draws. The effects of rollovers and special draws on lottery sales are typically positive and non-negligible with an exception for the latter variable. The effect of draws that take place at weekends are mixed and not always positive. One observes long memory, for Brazil as a whole, only in the case of one modality. The evidence by federative units is mixed and indicates contrasts that suggest heterogeneities across regions and lottery modalities. At a more exploratory level, the evidence obtained with a stacked sample suggests relevant effects accruing from income inequality. on the probability of prevalence of highly persistent lottery sales, taking into account controls for regional heterogeneities. The initial evidence suggests that positional concerns may be relevant in the case of Brazil.
Frankenstein Goes Swimming: Software Architecture of a Modified BlueROV2 Heavy for Underwater Inspection and Maintenance

Inspecting and maintaining large man-made underwater structures, like piles of wind turbines in the open sea, has long been a job performed by professional divers. With the aim of reducing both the hazards to the divers and the costs that come with such missions, efforts have been made to develop remotely operated underwater maintenance robots that can undertake these missions in the future. One such robot that has recently been developed by the Fraunhofer research group Smart Ocean Technologies in Germany is introduced in this paper. An existing BlueROV2 Heavy from Blue Robotics was modified by adding a crawling skid underneath the robot, to which either a linear unit for anti-corrosion coating or a reading device for ultrasonic fatigue crack detection could be attached. While the project presented interesting challenges in both hardware and software integration, this paper focuses on the software architecture of the modified robot and its periphery.
Paraxially annihilating vortex-beams in uniaxial crystals

Unique properties of paraxially annihilating beams have been considered. We have derived the expressions for this beam type obeying the Maxwell’s equations. It has been revealed that the beams originate from mismatching of the electric and magnetic fields and the evanescent waves in the field components. When the electric and magnetic fields become totally matched in the paraxial approximation, the paraxially annihilating beams vanish.
Gastrointestinal Permeation Enhancers for the Development of Oral Peptide Pharmaceuticals

Recently, two oral-administered peptide pharmaceuticals, semaglutide and octreotide, have been developed and are considered as a breakthrough in peptide and protein drug delivery system development. In 2019, the Food and Drug Administration (FDA) approved an oral dosage form of semaglutide developed by Novo Nordisk (Rybelsus®) for the treatment of type 2 diabetes. Subsequently, the octreotide capsule (Mycapssa®), developed through Chiasma’s Transient Permeation Enhancer (TPE) technology, also received FDA approval in 2020 for the treatment of acromegaly. These two oral peptide products have been a significant success; however, a major obstacle to their oral delivery remains the poor permeability of peptides through the intestinal epithelium. Therefore, gastrointestinal permeation enhancers are of great relevance for the development of subsequent oral peptide products. Sodium salcaprozate (SNAC) and sodium caprylate (C8) have been used as gastrointestinal permeation enhancers for semaglutide and octreotide, respectively. Herein, we briefly review two approved products, Rybelsus® and Mycapssa®, and discuss the permeation properties of SNAC and medium chain fatty acids, sodium caprate (C10) and C8, focusing on Eligen technology using SNAC, TPE technology using C8, and gastrointestinal permeation enhancement technology (GIPET) using C10.
Effects of the intermediate SiO2 layer on polarized output of a light-emitting diode with surface plasmon coupling

The variation behaviors of the output intensity and polarization ratio of InGaN/GaN quantum well (QW) light-emitting diodes (LEDs) with surface plasmon (SP) coupling by inserting SiO2 intermediate layers between the p-GaN layers and surface Ag grating structures are demonstrated. The insertion of the SiO2 layer is expected to reduce the metal dissipation of SP energy and extend the near-field distribution range of the induced SP for generating more favored SP-QW coupling effects. The Ag grating period for optimizing SP-QW coupling is increased when a SiO2 layer is added to the device, which is consistent with the simulation results of the momentum matching of SP polariton and the resonance behavior of localized SP. The almost unpolarized outputs from other LED samples fabricated with an epitaxial structure of thicker p-GaN layer, which leads to weak SP-QW coupling, indicate that the observed polarization ratios are due to near-field SP-QW coupling, instead of far-field diffraction.
Differences in Driver Behavior between Manual and Automatic Turning of an Inverted Pendulum Vehicle

Personal mobility vehicles (PMVs) are compact and lightweight compared to automobiles; hence, human dynamic behavior affects a vehicle’s postural stability. In this study, the dynamic behaviors of drivers of inverted pendulum vehicles (IPV) under manual and automatic driving were investigated. One particular feature of applying automatic driving to IPV is constant posture stabilization control. In this study, the drivers’ center of gravity (COG)/center of foot pressure position (COP) and joint moments during turning were investigated experimentally. It was found that the drivers’ COG shifted backward during turning and deceleration. For COP, it was found that drivers maintained balance by moving their inner foot more inward and their outer foot more outward during turning. These results are significant for understanding the steps taken to withstand centrifugal forces during turning. The joint moments of the foot were more significant in automatic turning than in manual turning to prevent falling owing to centrifugal force. These findings can facilitate the development of an automatic control method that shifts the COG of a driver, as in manual turning.
Circumstellar material in TX Ursae Majoris

The analysis of the Hα difference profiles of TX UMa has revealed deep redshifted absorption during primary eclipse, weaker redshifted absorption at other phases, and strong blueshifted and redshifted emission outside primary eclipse. The absorption seen during primary eclipse is produced by circumstellar gas extending above and below the orbital plane and between us and the partially eclipsed primary star. The circumstellar material is in the form of a rotating disk because double-peaked emission features are visible at most phases outside primary eclipse, with the stronger component first redshifted near phase 0.16-0.19 but blue-shifted half an orbit away near phase 0.65-0.66
Diffusions with measurement errors. II. Optimal estimators

We consider a diusion process X which is observed at timesi=n for i =0 ; 1;::: ;n ,e ach observation being subject to a measurement error. All errors are independent and centered Gaussian with known variance n. There is an unknown parameter to estimate within the diusion coecient. In this second paper we construct estimators which are asymptotically optimal when the process X is a Gaussian martingale, and we conjecture that they are also optimal in the general case. Mathematics Subject Classication. 60J60, 62F12, 62M05.
Multiscale shear-strain gradient for detecting delamination in composite laminates

Delamination is a typical failure mode in composite laminates. For detecting delamination, a new physical concept of a multiscale shear-strain gradient (MSG) is formulated from a vibrational mode shape of a Kirchhoff plate. In a laminate containing a small delamination, the MSG characterizes shear-strain singularities with an explicit physical implication and no need for material properties, in turn manifesting the distribution of the delamination; moreover, multiscale property enables the MSG to identify delaminations at a high noise level. Numerical and experimental results show that the MSG defies the traditional understanding that vibrational features are inappropriate to localize a slight delamination.
Wide-Angle Flattened Luneburg Lens for Millimeter-Wave Beam Steering Applications

This paper discusses the design and performance of a three-dimensional (3D) Luneburg lens (LL) with a flat focal surface for wide-angle beam steering applications. The lens is designed based on the theory of quasi-conformal transformation optics (QCTO) where simple mathematical procedures are applied to flatten a portion of a spherical LL surface. Different design aspects to control the lens scan range are discussed. A wideband magneto-electric dipole antenna operating over the 24–40 GHz band is designed and used as a feed to demonstrate the lens performance. A flattened LL with beam steering capability up to ±65° is fabricated using 3D printing process and preliminary performance thereof is presented.
Identification of Reliable Reference Genes under Different Stresses and in Different Tissues of Toxicodendron succedaneum

Toxicodendron succedaneum (L.) Kuntze (T. succedaneum) is an economic tree species that produces urushiol and urushi wax, and it is of great value in industry and medicine. However, the stability of reference genes (RGs) has not been systematically reported in T. succedaneum to date. In this study, the expression of 10 candidate RGs was analyzed by RT-qPCR in different tissues (roots, stems, leaves), stress treatments (high/low temperature, drought), and hormone stimulation (jasmonic acid, JA). Then, the stability ranking of 10 candidate genes was evaluated by ∆Ct analysis and three software programs: geNorm, NormFinder, and BestKeeper. Finally, RefFinder was used to comprehensively analyze the expression stability of 10 candidate genes. The comprehensive analysis showed that TsRG05/06, TsRG01/06, and TsRG03/ACT were stable under high/low-temperature stress, drought stress, and JA treatment, respectively. TsRG03 and ACT had stable expression in different tissues. While the TsRG03 and ACT were recommended as the suitable RGs for T. succedaneum in all samples. Meanwhile, UBQ was the least suitable as a reference gene for T. succedaneum. In addition, the results of geNorm showed that the combination of two stable RGs could make the results of gene expression more accurate. These results provide alternative RGs for the study of gene function, correction, and normalization of target gene expression and directed molecular breeding in T. succedaneum.
Single- and Dual-Source Modeling of Surface Energy Fluxes with Radiometric Surface Temperature

Abstract Single- and dual-source models of the surface energy transfer across the soil-vegetation-atmosphere interface were used in conjunction with remotely sensed surface temperature for computing the surface energy balance over heterogeneous surfaces. Both models are relatively simple so that only a few parameters are specified, making them potentially useful for computing surface fluxes with operational satellite observations. The models were tested with datasets collected from a semiarid rangeland environment with canopy cover generally less than 50% and a subhumid tallgrass prairie environment having canopy cover typically greater than 50%. For the semiarid site, differences between the single-source and dual-source model estimates of the sensible heat flux (H) and the observations averaged about 25%. For the tallgrass prairie, the disagreement between observations and single-source model estimates of H was significantly larger, averaging nearly 55%. The average difference between observations and t.
Use of Time-Frequency map combined with DBSCAN algorithm for separation of partial discharge pulses under DC voltage

The Phase-Resolved-Partial-Discharge pattern (PRPD) is a conventional technique used for the evaluation of partial discharges (PD) phenomena in High-Voltage-Alternating-Current (HVAC) systems. This map is constructed by plotting the peak of each detected pulses as a function of the phase angle of the supply voltage. Therefore it is obvious that this technique cannot be used for the analysis of data from PD mesaurement under different supply voltage condition (DC). The aim of this paper is to evaluate the application of the Time-Frequency map (TF map) for the analysis of a dataset obtained from PD measurement under DC voltage. A density-based clustering algorithm was also used to gain more insight from the collected data. The results show that, with this approach, it’s possible to perform a noise rejection and identify PD pulses.
Evaluation of time-series database on microservice architecture for health monitoring system

Recently, the research on daily health monitoring using a wearable sensor has been continually evolving. In the future, when this system is actually implemented, a vast amount of data transmission will be conducted from multiple sensors to the cloud server. A system capable of transmitting, storing, processing, and visualizing massive volumes of data is necessary for health monitoring. This research aims to develop a health monitoring system that can accommodate a high amount of data with high performance. The proposed techniques include numerous modifications to system architecture and technology. In the system architecture, a multi-database is proposed to enhance the reliability of the system. As an enhancement to the technology aspect, a time series database and MQTT server are proposed. As the result, the proposed system achieves significantly better performance in terms of throughput, database-writing speed, and database-reading speed compared to the existing system.