Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical scheme for semilinear Stochastic PDEs via Backward Doubly Stochastic Differential Equations

In this paper, we investigate a numerical probabilistic method for the solution of a class of semilinear stochastic partial differential equations (SPDEs in short). Our numerical scheme is based on discrete time approximation for solutions of systems of a decoupled forward-backward doubly stochastic differential equations. Under standard assumptions on the parameters, we prove the convergence and the rate of convergence of our numerical scheme. The proof is based on a generalization of the result on the path regularity of the backward equation.
High Step-Up Converter with Low Voltage Stress for Fuel Cell Applications

High step-up DC-DC converters are considered the main components of some low-voltage and low-power fuel cell power system applications. A new DC-DC converter topology based on a two-stage switched capacitor-switched inductor multiplier is proposed in this paper. In comparison with other conventional and high step-up DC-DC converters, the proposed converter topology provides higher voltage gain and lower switch voltage stresses for duty cycles in the range of 0.6 or higher, the typical duty cycle of high step-up DC-DC converters. The proposed converter consists of a novel combination of switched capacitors and switched inductors methods that reduce the number of required switches and their duty cycles. The theoretical analysis was confirmed by simulation results in MATLAB/Simulink software environment results. A 100 W laboratory prototype of the proposed converter was implemented to investigate and validate the analytical and simulation results. The prototype DC-DC converter was designed and implemented for use in a commercial 100 W PEM fuel cell stack power system.
NGOS MANAGEMENT: A CONCEPTUAL FRAMEWORK

– Objective : Year after year, more researchers join in the ever-growing field of interest of NGOs. Nevertheless, the literature on NGOs management is less rich than the same topics for private companies and bodies in the business world. This paper proposes a framework for managing NGOs effectively. Design/Methods: reviewing the literature on NGOs management from different areas, the paper proposes a conceptual framework aimed to give a framework for managing an NGO linking different areas of management. Findings: The paper provides a conceptual framework on how different management areas are involved in a mutual framework for managing NGOs. Limitations: The author needs to empirically test the suggested framework using qualitative and qualitative techniques. Value: The author perspective on NGOs management is a subject of great interest for different NGOs stakeholders including: donors, communities, volunteers, managers and policy makers.
Inferring Taint Speciﬁcations of Libraries

Dependencies on large libraries can degrade the effectiveness of static analysis significantly. Libraries frequently contain native code unable to be analyzed, use of challenging features including refection, and deep call hierarchies that reduce precision. As a specific static analysis, taint analysis depends on the integral value flow crossing the libraries, and a common-used workaround is to use taint specifications to summarize their behaviors. However, writing specifications for the entire library can be expensive and often error prone [1, 2]. In order to address these issues, approaches have been proposed to infer the taint specifications for library code automatically. In this note, four types of approaches are discussed with a typical work. The lack of soundness and completeness of present works shows the value of lightweight shape analysis for the analysis of library code.
Teaching physics by means of cartoons: a qualitative study in secondary education

One of the characteristics of our times is the powerful socio-cultural influence of television. Formal education seems to be losing its attraction to youngsters in favour of TV: physics is no exception. We present here the first results of a working proposal aimed at coupling physics teaching with viewing cartoon programs. The study was carried out over two school years with a small number of participating students. It involved the individualized analysis of two cartoon programs by teachers and students with a focus on discriminating between `real' and `impossible' situations, a class discussion of the results, an attempt to give a physical explanation for what was observed, an in-depth debate about some of the previously identified phenomena, and a final interview with the students and their parents. Using TV cartoons was a clear incentive to the students and our results encourage us to develop the notion of TV `literacy' further.
Formulation and Hardness Evaluation of Tablets Containing Citrus limon and Hylocereus polyrhizus Powder using D-Optimal Mixture Design

The powder of mixed fruits that are Lemon (Citrus limon) and Red Pitaya (Hylocereus polyrhizus) was used as a nutritional supplement in tablet form for nutraceutical application. D-optimal mixture experimental design (D-Optimal MED) was employed to investigate the influence of different components on the response hardness of the tablet. For tablet formulation, magnesium stearate, A (0.2-1.0% w/w), menthol, B (0.2-1.0% w/w), lemon powder, C (1.0-10.0 w/w), maltodextrin, D (5.0 -10.0) and glucose, E (37.5-53.1%) are the variables while red pitaya powder and preservative are fixed components. The experimental data were used to analyze analysis of variance (ANOVA) and to develop a polynomial regression model for tablet hardness in terms of the five design factors considered in this study. D-Optimal MED predicted the hardness of the tablet at 8.5 kg/cm2. The results showed that the best mixture was the formulation that included 0.66% A, 0.74% B, 6.15% C, 7.61% D and 44.34% E, with the actual hardness of the optimized tablet recorded at 8.581 kg/cm2 (R2 = 0.9925). The study demonstrated the potentiality of mixed fruit tablets as a nutritional supplement with therapeutic properties for general consumers well-being.
The effects of shopping orientations towards customers ’ online purchase intention

The advancement of the World Wide Web has resulted in the creation of a new form of retail transactions electronic retailing (e-tailing) or online shopping. The number of internet users has been steadily increasing all over the world, including developing countries. As the number of websites continues to expand and consumers increase their use of the Internet, companies must find ways to convert visitors to buyers and boost return visits to their sites. Hence, this study examines the effects of impulse purchase intention on customers’ online purchase intention among undergraduate students of public universities in Malaysia. The survey approach utilizes Google Forms as a real-time formative feedback tool to collect students’ feedba ck since it is a very simple, systematic, and easy to implement approach. The online questionnaire using Google Forms with a cap of 200 respondents were distributed. In total, several 138 completed responses were subsequently collected. The data were then analysed using the PLS-SEM algorithm. The findings show that impulse purchase intention and quality orientation possess explanatory and predictive capacity to predict custome rs’ onl ine purchase intention.
Bandfilling in metalorganic chemical vapor deposited AlxGa1−xAs‐GaAs‐AlxGa1−xAs quantum‐well heterostructure lasers

Data are presented showing that quantum‐well (Lz∼200 A) AlxGa1−xAs‐GaAs‐AlxGa1−xAs heterostructures, grown by metalorganic chemical vapor deposition, can be operated as lasers on confined‐particle transitions over an unusually large range (Δλ≳1000 A). The bandfilling properties of these quantum‐well heterostructures, which can easily be excited to carrier densities as high as n≳1019/cm3, are described. Quantum‐well laser diodes (x∼0.5) are described that operate (300 K) from the Γ band edge to wavelengths as short as 7700 A (ΔE∼185 meV). Narrow photopumped samples (15–30 μm) are shown to operate (77 K) as lasers on clearly defined confined‐particle transitions from the band edge to 6980 A (ΔE∼270 meV). On samples from another wafer, laser operation has been observed to 6885 A (ΔE≡hν−Eg=293 meV). The photoluminescence spectra of these heterostructures extend well into the region of the recently determined L band minima of GaAs.
The Role Of E-Satisfaction In Mediating The Effect Of E-Servqual And E-Trust On E-Loyalty On BRI M-Banking Application Users

: The purpose of this study was to examine the role of E-Satisfaction in mediating Effect of E-Servqual and E-Trust Against E-Loyalty. The number of samples as many as 100 people determined by accidental sampling technique with non-probability sampling method. The data analysis technique used is Partial Least Square-Path Modeling Reflective Multidimensional Construct (Second Order Construct) with SmartPLS 3.0 software. The results obtained in this study are e-service quality has a significant effect on e-satisfaction, e-trust has a significant effect on e-satisfaction, e-satisfaction has a significant effect on e-loyalty, e-service quality has no significant effect on e-loyalty, e-trust no significant effect on e-loyalty, e-service quality has a significant effect on e-loyalty through e-satisfaction and e-trust has a significant effect on e-loyalty through e-satisfaction
0.25-µm-Emitter InP Heterojunction Bipolar Transistors with a Thin Ledge Structure

This paper describes 0.25-µm-emitter InP heterojunction bipolar transistors (HBTs) with a thin ledge structure. The HBTs consist of a degenerately-doped n+-InGaAs/15-nm-thick undoped InP emitter, a 25-nm-thick p+-In0.53Ga0. 47As base, and a 75-nm-thick In0.53Ga0. 47As collector. The emitter enables fabrication of a 15-nm-thick ledge structure simply by wet etching the n+-InGaAs emitter. The emitter mesa and base metal were scaled down to 0.25 and 0.3 µm, respectively. The fabricated HBT with a 0.25-µm emitter provides a current gain of 62 at a collector current density, Jc, of 10 mA/µm2. With the thin ledge structure, the current gain is virtually independent of emitter size and emitter–base spacing. The HBT also exhibits an ft of 442 GHz and an fmax of 214 GHz at a Jc of 12 mA/µm2. The results of bias-temperature stress tests show that base and collector currents are stable up to 1042 h at a Jc of 5 mA/µm2.
Molecular Identification and Phylogenetic Relationship of Some Plant Species In Ashdagh Mountain, Sangaw, Kurdistan Of Iraq

Phylogenetic and molecular perspective of plant identification can reveal the plant composition of areas. Many new species have been identified based on morphological characters in different area of Kurdistan, but few have been identified through DNA barcoding method. In this study, Internal transcribed spacers 1 and 2 (ITS1 and ITS2) were used to identify some species in Ashdagh Mountain. The identified taxa were belonged to different families and clades and not recorded in any studies. The nucleotide sequences of identified species were 98-100% identical with species in the genebank database. The phylogenetic analysis showed diversity in phylogenetic relationships among coexisting species. In addition, the existing of Chara sp. in the acidic stream of Awa spi is a new record and not observed before. The finding of this study show the importance of using molecular and phylogenetic technique to identify and understand phylogenetic relationship among coexisting species because Kurdistan is a hot spot and need more emphasis. In addition, new species occurrence data has been added to flora of Kurdistan.
Keefektifan Media Pembelajaran Film untuk Meningkatkan Pembelajaran BIPA Tingkat Awal dan Menengah

Abstrak: Bahasa Indonesia semakian diminati oleh bangsa asing. Hal ini terbukti dari makin banyaknya warga asing yang mengikuti program BIPA dengan berbagai tujuan. Tidak sedikit, peserta didik asing datang ke Indonesia belum menguasai bahasa Indonesia, bahkan hanya untuk kepentingan percakapan sehari-hari, sehingga menjadi permasalahan ketika mengikuti pendidikan di Indonesia. Oleh sebab itu, berbagai permasalahanpermasalahan tersebut perlu memperoleh perhatian dan solusi pemecahan. Program BIPA merupakan program yang diperuntukan mahasiswa asing untuk meningkatkan kemampuan dalam menggunakan bahasa Indonesia. Tidak semua strategi dan metode efektif digunakan untuk meningkatkan kemampuan komunikasi dari masing-masing peserta didik. Ada peserta didik yang efektif menggunakan metode dan strategi A, tetapi dapat saja tidak efektif diterapkan untuk peserta didik B. Oleh sebeb itu, instruktur BIPA perlu membekali diri dengan kemampuan dalam memanfaatkan berbagai sumber, strategi, metode, bahkan media yang akan digunakan untuk pendidikan sehingga dapat memfasilitasi setiap peserta didik. Salah satu media yang dapat dimanfaatkan adalah media film. Film sebagai potret kehidupan masyarakat juga mengandung unsur budaya yang sangat bermanfaat untuk peserta didik. Belajar bahasa tanpa mengenal budaya maka akan mempersulit akuisisi di dalam diri masing-masing peserta didik.
Analysis of Software Effort Estimation Based on Story Point and Lines of Code using Machine Learning

: Estimating the software work is a crucial job of persons participating in software project management. The di ffi culty in predicting e ff ort is compounded by the fact that software development is always changing. Several techniques for estimating software development costs have been developed over the last three decades. There are a variety of cost estimation methodologies, algorithmic models, non-algorithmic models, and machine learning methods to choose from. To improve accuracy, machine learning approaches are combined with algorithmic or non-algorithmic models. Researchers in past worked on the e ff ort and time estimation by using one type of development methodology in their work. Currently, the companies uses both agile and traditional techniques to software development. A comparison of agile and traditional development utilizing the neural network (NN) and genetic algorithm is presented in this research (GA). Estimation is performed on the Zia dataset and a github dataset using story points and lines of code, respectively. The smallest error and highest accuracy were attained utilizing machine learning approaches for projected e ff ort values. The value of R2 based on story point is achieved using neural network and genetic algorithm is 0.97 and 0.96 respectively. On other hand, the value of R2 based on lines of code is achieved using neural network and genetic algorithm is 0.94 and 0.80 respectively. The mean magnitude relative error is used for comparison of proposed models with previous works. The dataset with the story point give best results followed by projects with lines of code.
Nuclear and non-nuclear analytical techniques applied to pre-colonial archaeological ceramics from the upper Ma-deira River/Brazil (940 to 760 B.P)

This article presents the results of applying three archaeometry techniques in archaeological ceramics from the upper river Madeira region in Amazonia. The first consists of the nuclear technique, neutron activation analysis (INAA), to identify the trace elements of the clay sources used in the production of the vessels. The second, non-nuclear X-ray diffraction (XRD), was used to characterise the mineral phases of each clay source. The third technique, electron paramagnetic resonance spectroscopy (EPR), estimated burning temperature related to the production stage of the artefacts. This approach made it possible to understand technological choices linked to selecting specific clay sources. The results suggest that different indigenous groups that inhabited the region between 940 and 760 B.P selected three clay sources to produce their vessels.
MAGNETIC FIELD DEPENDENCE OF THE SUPERCONDUCTING ENERGY GAP

The magnetic field dependence of the superconducting energy gap ( epsilon ) is derived by means of the GinzburgLandau phenomenonological superconductivity equations. These equations permit the calculation of epsilon for strong magnetic fields. The results are applied to thin evaporated fiims and bulk matter. (T.F.H.)
Amplification and modulation of fluorescent signals by using hybridization chain reactions for multiplexed sensing of biomolecules in a one-pot

Fluorescence readout of molecular information is a promising approach for biomolecular sensing. For detection of enormous biomolecules via uorescence, biomolecular information should be converted to codes that can be readout easily and simultaneously. For the purpose, we study a biomolecule uorescence color (B/F) encoders that modulate uorescence signals by control of uorescence resonance energy transfer (FRET). The B/F encoder converts biomolecular signals into uorescent color codes represented with uorescent wavelengths and intensity levels. The combination offers a great number of codes for representing the biomolecular information. In this study, we discuss multiplexed detection of target biomolecules using B/F encoders. Use of the B/F encoders would offer a multiplexed biomolecular sensing in a one-pot without micro-fabrication like DNA microarray. In the experiments, we prepared B/F encoders based on two kinds of hybridization chain reactions (HCR) that make long double-stranded DNA polymers to control positions of uorescence and quencher molecules. In the B/F encoders, target molecules trigger to start assembling the polymer structures. The uorescent molecules in the absence of the targets are near the quenchers and the output uorescence is suppressed by FRET. The polymerization process separates the uorescent and quencher dyes and the uorescent signal increase. The experimental results show that the B/F encoders based on HCRs have linear and independent response to each target, and temporal signals during the encoding reactions are usable for multiplexed readout. This result leads to the multiplexed sensing in a one-pot by uorescent ampli cation and multiple uorescent color-coding.
Remote Access Experiments at the Macromolecular Crystallography Beamlines of the ESRF

Today, synchrotron-based macromolecular crystallography (SRMX) beamlines are increasingly automated with an emphasis on pushing data collection speeds and sample throughput rates to the highest reasonably possible values. While these facilities are designed to be user-friendly, somewhat paradoxically the speed with which single-crystal diffraction data can now be collected, and the resulting crystal structures solved, actually places a great deal of stress on many external users.
A method to extract quantitative information in analyzer-based x-ray phase contrast imaging

Analyzer-based imaging is a powerful phase-sensitive technique that generates improved contrast compared to standard absorption radiography. Combining numerically two images taken on either side at ±1/2 of the full width at half-maximum (FWHM) of the rocking curve provides images of “pure refraction” and of “apparent absorption. ” In this study, a similar approach is made by combining symmetrical images with respect to the peak of the analyzer rocking curve but at general positions, ±α⋅FWHM. These two approaches do not consider the ultrasmall angle scattering produced by the object independently, which can lead to inconsistent results. An accurate way to separately retrieve the quantitative information intrinsic to the object is proposed. It is based on a statistical analysis of the local rocking curve, and allows one to overcome the problems encountered using the previous approaches.
Relativistic electron heating in laser-produced plasmas

Two-dimensional multi-timescale fully electromagnetic relativistic particle simulation is used to investigate relativistic electron heating in laser-produced plasmas. When laser pulses with peak intensities 1019 W cm−2 and different durations (e.g. 118 fs and 442 fs) are incident on overdense plasma slabs with step-like density profiles, the dynamics of plasmas and Fourier frequency spectra from our particle simulations demonstrate distinctly different properties in hot-electron temperatures, absorption, relativistic electron heating, and so on. The particular motions of the critical surfaces are discussed. From the two examples simulated in this paper, it is concluded that the interactions between plasmas and laser pulses with the same intensities and different durations are dominated by different mechanisms, which can lead to dissimilar dynamics of plasmas, relativistic heating, and so on.
Enhanced grasshopper optimization algorithm with extreme learning machines for motor‐imagery classification

In Brain Computer Interface (BCI), achieving a reliable motor‐imagery classification is a challenging task. The set of discriminative and relevant feature vectors plays a crucial role in classification. In this article, an enhanced optimization technique is implemented for selecting active feature vectors to enhance motor‐imagery classification using Electroencephalography (EEG) signals. After collecting the input EEG signals from BCI competition III‐4a and IV‐2a databases, the 6th‐order butter‐worth filter is employed for eliminating base‐line wander noise from the raw EEG signals. Further, the Variational Mode Decomposition technique is applied for separating the important signal components from the composite EEG signals, and then, the Higher Order Statistic, kurtosis, skewness, standard deviation, and entropy are utilized for feature extraction. The high‐dimensional feature values are given to the Enhanced Grasshopper Optimization Algorithm for optimum feature selection, which are given to the Extreme Learning Machines (ELM) classifier for motor‐imagery classification. Finally, in the resulting section, the optimized ELM model achieved 99.48% and 99.12% of accuracy on the BCI competition III‐4a and IV‐2a databases, where the achieved results are maximum compared to the traditional deep learning models.
A new adaptive causal consistency approach in Edge Computing Environment

: Edge computing is a new computing paradigm that has emerged to o ffl oad computation and storage to edge devices in order to get a shorter response time and more e ffi cient processing. Nevertheless, adopting a consistency scheme that can conserve multiple replicas while guaranteeing a good level of consistency is an open issue. Moreover, a data store with only one consistency level is not suitable for applications that have di ff erent consistency requirements. In this paper, we propose MinidoteACE, a new adaptive consistency system which is an amelioration version of Minidote a causally consistent system for edge applications. Unlike Minidote which supports only causal consistency, our model allows applications to run also queries with stronger consistency guarantees. Experimental evaluations show that throughput decreases only by 3.5% to 10% when replacing causal operation with a strong operation. However, update latency increase significantly for strong operations up to three times for 25% update workload.