Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Skills Resource Constrained and Personality Traits Based Project Scheduling

One of the primary jobs of a software project manager is to assign available resources to software development tasks in such a way that results in a high-quality product at a low cost. Software Project Scheduling (SPS) allocates the most appropriate human resource to project activities at the right time to reduce software project failure risks and minimize project makespan. In literature, the SPS problem is referred to as the Multiple Resource-Constrained Project Scheduling Problem (MRCPSP). The MRCPSP assigns human resources with multiple skills and proficiency levels to various project activities. Human abilities can be distinguished into technical/hard and non-technical/soft skills. The former describes the skills related to technology, tools, etc. While the latter deals with the skills related to the personality, such as being introvert, extrovert, sensing, etc. Recent studies have shown that some tasks may require specific soft skills. Moreover, the efficiency and productivity of the assigned resource significantly reduce if the soft skill requirements are ignored during task allocation. Ultimately, the development process might end up in lower-quality software products with higher development costs; worst case, the project may even fail. Several MRCPSP-based SPS approaches have been designed to reduce the development costs of software projects. These mechanisms consider the hard skills of a human resource with different proficiency levels. However, they overlook the soft skills required leading to the inefficiency of the allocated human resources. This will increase the project makespan and may cause higher development costs or even project failures. Therefore, to fill this gap, we propose Multi-Skill Resource Constrained and Personality Traits based Project Scheduling (MSRCPPS) considering the soft skills as well as the technical skills of a human resource during SPS. The main objective is to minimize software project makespan. Finally, the effectiveness of our proposed approach is evaluated against existing state-of-the-art using extensive simulations.
An Active Electromagnetic 3-D Surface Cloak

An active interior cloak is composed of a conformal array of radiating sources surrounding a target object. With proper configuration, this array radiates a field discontinuity which cancels out any scattering which occurs when the object is illuminated by an impinging electromagnetic wave. Unlike many other cloaking methods, an interior cloak can be completely constructed using conventional components while its active nature allows it to circumvent passivity-based constraints. This enables an interior cloak to hide an object of virtually any size, shape, and material composition as well as accommodate multiple frequencies and polarizations. Despite its potential, this approach has only been demonstrated on 2-D and quasi-2-D targets to date. As such, this article presents the first 3-D implementation of an interior cloak. Here, the design of a cloak array capable of hiding a conductive, circular cylinder in free space is first presented. Cloaking performance is then validated via full-wave simulations and an experimental demonstration in which the device successfully suppresses scattering when the target is illuminated by a ridged horn antenna at 1.2 GHz.
CO and PM10 Prediction Model based on Air Quality Index Considering Meteorological Factors in DKI Jakarta using LSTM

Purpose: This study aimed to make CO and PM10 prediction models in DKI Jakarta using Long Short-Term Memory (LSTM) with and without meteorological variables, consisting of wind speed, solar radiation, air humidity, and air temperature to see how far these variables affect the model.Methods: The method chosen in this study is LSTM recurrent neural network as one of the best algorithms that perform better in predicting time series. The LSTM models in this study were used to compare the performance between modeling using meteorological factors and without meteorological factors.Result: The results show that the use of meteorological predictors in the CO prediction model has no effect on the model used, but the use of meteorological predictors influences the PM10 prediction model. The prediction model with meteorological predictors produces a smaller RMSE and stronger correlation coefficient than modeling without using meteorological predictors.Novelty: In this paper, a comparison between the prediction model of CO and PM10 has been conducted with two scenarios, modeling with meteorological factors and modeling without meteorological factors. After the comparative analysis was done, it was found that the meteorological variables do not affect the CO index in 5 air quality monitoring stations in DKI Jakarta. It can be said that the level of CO pollutants tends to be influenced by factors other than meteorological factors.
Rayleigh instability in Hall thrusters

Gradient-driven Rayleigh-type instabilities in Hall plasma thrusters are analyzed using linearized two-fluid hydrodynamic equations. Necessary instability conditions and a general criterion for stability of azimuthally propagating perturbations are derived. For a simplified model of the axial distribution of parameters inside the thruster channel, the growth rate of an unstable wave, resonant with the azimuthal electron flow, is obtained. The frequency and phase relations are related to the results of experimental investigations of high-frequency oscillations in Hall thrusters.
A Tiling Lemma and Its Application to the Ratio Test for Convergence of Series

We prove that any collection which tiles the positive integers must contain one of two types of sub-collections. We then use this result to prove a variation of the Ratio Test for convergence of series. This version of the Ratio Test shows the convergence of certain series for which the Root Test (which is known to be more powerful than the conventional Ratio Test) fails. This version of the Ratio Test is also used to prove a version of the Banach Contraction Principle for self-maps of a complete metric space.
Secondary Cyclogenesis—Comparison of Observations and Theory

Abstract A case study of a small-scale polar front cyclone observed during the Canadian Atlantic Storms Program (CASP) is presented. The cyclone forms along an essentially two-dimensional front, which is in approximate thermal wind balance. This cyclogenetic event occurs where the Richardson number near the surface is small. The storm appears to grow in response to favorable low-level thermal advection rather than to any significant upper-level forcing. As the wave amplifies, the initially two-dimensional frontal zone develops a three-dimensional structure. The cyclone has a horizontal wavelength of 1200 km and a vertical scale of 3–4 km. The wind field associated with the evolved system is strongly unbalanced in comparison with that in the initial state. A strong southerly low-level jet exists in the warm sector and a moderate northerly jet is observed in the air behind the cold front. The low-level warm sector is a region of reduced static stability. Results will be compared with a frontal zone stabilit.
Design and testing of a coaxial linear magnetic spring with integral linear motor

The design and testing of a coaxial linear magnetic spring with integral linear motor is presented. The magnetic spring offers the potential of replacing mechanical springs in long life applications. The integral linear motor allows the spring to be tuned to the system and overcome any system damping. The spring/motor magnet material is sintered SmCo 5 . Static and dynamic results are presented. Static measurements are consistent with predictions based on finite element (FEM) analysis. The radial side loads from such a spring/motor agrees with analysis and approaches the theoretical minimum value. The nominal design stiffness is 25,000 N/m with a design stroke of 0.46 cm. Dynamic tests indicate an energy storage efficiency of 91-94% (Q = 70-100) at 25 Hz.
APAKAH TEORI DEMAND-FOLLOWING ATAUKAH TEORI SUPPLY-LEADING YANG BERLAKU DI ASIA PASIFIK?

This study analyze is the demand-following theory or supply-leading theory prevails in the Asia Pacific region. The data used is panel nine countries in 2003-2019. This study focuses on lowermiddle income countries in the Asia Pacific region: Indonesia, Cambodia, Philippines, Myanmar, Mongolia, Papua New Guinea, Solomon Islands, Timor Leste, and Vanuatu. Analysis tool is using the Granger and VAR causality test. As a result, the demand-following theory that applies to the nine Asia Pacific countries with lower middle income. Therefore, governments in thiscountries should focus on improving the economy in the non-financial sectors. Thus, the financial sector will automatically grow.
JBTI : Jurnal Bisnis : Teori dan Implementasi

This study examines the effect of the perceived influence of digital influencers on the purchase intention of brand recommendations by influencers. This research has two mediating variables: brand attachment in self-concept and expected brand value. This type of research is quantitative research, and the method used is convenience sampling with the criteria that respondents have followed the Instagram accounts of Muslim fashion brand digital influencers aged 18-27 years old and living in Indonesia. The method used is an online survey and sharing on their social media. The total sample used for this study was 150 respondents. The final results of this study indicate that perceived influence positively impacts brand engagement, brand expected value, and intention to buy recommended brands. Besides that, brand engagement also influences brand expected value. Lastly, both brand engagement and brand expected value positively impact the intention to buy the recommended brand. This study is expected to contribute to the literature regarding Muslims' behavioral intention toward Muslim fashion in Indonesia. Muslim fashion brands can also apply this research results to develop their
On the origin of jets in the ocean

We show a mechanism whereby the jets result during the development of β-plumes (i.e., low-frequency Rossby waves that establish gyre circulations) in a model of ocean-basin circulation. The energy originates in baroclinic meanders of circulation at the eastern boundary of the ocean. Eddies are intimately related and occur as a result of the instability of this process. This mechanism does not rely on the existence of the small-scale turbulence to establish zonal flows. Zonal jets can then be amplified by eddies arranged in certain order in the flow. The underlying dynamics include the propagation of linear and nonlinear basin scale Rossby waves. The related barotropic theory for these waves is developed here. We demonstrate the radiative development of jets and β-plumes in a laboratory experiment using a rotating fluid with a paraboloidal free surface. The dynamical fields are measured by the laboratory analog of the satellite altimetry.
A Hubble Space Telescope Survey of the Disk Cluster Population of M31. II. Advanced Camera for Surveys Pointings

This paper reports on a survey of star clusters in M31 based on archival images from the Hubble Space Telescope. Paper I reported results from images obtained with the Wide Field Planetary Camera 2 (WFPC2) and this paper reports results from the Advanced Camera for Surveys (ACS). The ACS survey has yielded a total of 339 star clusters, 52 of which—mostly globular clusters—were found to have been cataloged previously. As for the previous survey, the luminosity function of the clusters drops steeply for absolute magnitudes fainter than MV = -3; the implied cluster mass function has a turnover for masses less than a few hundred solar masses. The color-integrated magnitude diagram of clusters shows three significant features: (1) a group of very red, luminous objects: the globular clusters, (2) a wide range in color for the fainter clusters, representing a considerable range in age and reddening, and (3) a maximum density of clusters centered approximately at V = 21, B - V = 0.30, V - I = 0.50, where there are intermediate-age, intermediate-mass clusters with ages close to 500 million years and masses of about 2000 solar masses. We give a brief qualitative interpretation of the distribution of clusters in the CMDs in terms of their formation and destruction rates.
Bi-objective project portfolio selection and staff assignment under uncertainty

We formulate a project portfolio selection problem under uncertainty with two optimization criteria: a weighted average of economic and strategic gains, and a risk measure expressed as the expected total overtime cost. The optimal assignment of personnel with given skills to the tasks of the selected projects is incorporated as a subproblem. Searching for Pareto-optimal portfolios satisfying the given constraints amounts to a stochastic multi-objective combinatorial optimization problem, a problem type for which only a few general solution approaches are available at present. We apply a recently developed technique called adaptive Pareto sampling, solve a linear subproblem with an LP solver and use the NSGA-II algorithm for deterministic multi-objective optimization as an auxiliary procedure. A convergence result applicable in a more general context is also shown. To obtain objective function estimates, importance sampling is applied. The technique is tested on a benchmark derived from a real-world application case provided by the E-Commerce Competence Center Austria.
Estimation of the utilities of attributes of intravenous iron infusion treatment for patients with iron-deficiency anemia: a conjoint analysis in Japan

Abstract Aims This study aimed to estimate the utility values of the factors associated with intravenous (IV) iron infusion treatment in Japanese patients with iron-deficiency anemia (IDA) from the patient’s perspective. Methods A conjoint analysis based on online survey data was conducted in May 2022 (registration number: UMIN000047756). Respondents in the main group were selected from the general population (20–69 years). Seven attributes were included in this analysis: waiting time before receiving an IV infusion, pain due to IV infusion, time required for IV infusion, number of IV infusions required to achieve treatment effect, frequency of hypophosphatemia as a side effect of IV infusion, frequency of skin discoloration by the drug solution, and out-of-pocket cost for one IV infusion visit. The utility of each level for each attribute was estimated using a logistic regression model as the difference from non-treatment. Results The responses were collected from 1,026 people. The utilities decreased with higher pain (−0.189 for pain level of 3.05), longer time for the IV infusion (−0.145 or −0.212 for 5 or 15 min), greater number of required IV infusions (−0.773 or −1.899 for 3 or 25 times), and higher frequency of adverse events (−0.373 or −0.385 for 13.0% or 14.2% of hypophosphatemia incidences; −0.502 for 2.3% of skin discoloration per one infusion). Limitations Since this study was based on an online survey, the reliability of the results depends on whether the respondents understood the questions accurately. Further, the respondents were selected from an online panel, potentially affecting finding generalizability. Conclusions The results indicate that utilities differ depending on the factors associated with IV iron infusion treatment. The findings of this study may be useful for informing future treatments or improving current treatment regimes, supporting the achievement of complete iron repletion for Japanese patients with IDA.
Discrete variable methods for the m -dependent variable, nonlinear extremal problem in the calculus of variations

In a previous work, Gregory and Wang gave efficient numerical methods to obtain global, pointwise, $O(h^2 )$ a priori error estimates for the basic fixed end point problem in the calculus of variations. This paper extends these numerical results to the more general situation involving a variety of variable end point problems in the calculus of variations. In particular, this paper gives new numerical transversality conditions (which correspond to classical transversality conditions) and shows that these numerical conditions along with the basic algorithm of the previous work lead to efficient numerical methods to obtain global, pointwise, $O(h^2 )$ a priori error estimates for a variety of variable end point problems.A nontrivial example is given to illustrate this theory. In addition, these results are used to obtain numerical solutions for constrained optimal control problems. To do this, this paper uses the result of a companion paper of the authors which shows that general constrained problems in the .
On the Nonlinear Instability of Traveling Waves for a Sixth-Order Parabolic Equation

We study the instability of the traveling waves of a sixth-order parabolic equation which arises naturally as a continuum model for the formation of quantum dots and their faceting. We prove that some traveling wave solutions are nonlinear unstable under 𝐻4 perturbations. These traveling wave solutions converge to a constant as 𝑥→∞.
Parenting in the Prevention of Internet Gaming Addiction

Game addiction, smartphone addiction, and Internet disorder in children and adolescents have become the subject of parental concern in recent years. Parenting interventions are the most appropriate choice for parents to reduce excessive use of problematic games, and this review has not been carried out by other researchers before. The purpose of this review was to describe the preventive management of parenting in children and adolescents who are at risk for game addiction, smartphone addiction, and Internet disorders. This paper reviews findings, trends, and new developments in the field concerned (n = 5 studies). The current research was conducted based on a literature search with Preferred Reporting Items for Systematic Reviews and Meta-analyses, and articles were searched with five databases: ProQuest, Ebscohost, Springer Link, PubMed, and Scopus. Furthermore, the keywords used are MeSH determination based on PICOS framework using keywords of Game Disorder OR Smartphone Addictions OR Internet Disorder, parenting, as well as prevention without a time limit for publishing articles. In conclusion, parenting programs are a preventive method that needs to be understood and developed in order to provide significant results in long-term management of game addiction, smartphone addiction, and Internet disorders.
Alumina as an Antifungal Agent for Pinus elliottii Wood

This work deals with the durability of a Pinus elliotti wood impregnated with alumina (Al2O3) particles. The samples were impregnated at three different Al2O3 weight fractions (c.a. 0.1%, 0.3% and 0.5%) and were then exposed to two wood-rot fungi, namely white-rot fungus (Trametes versicolor) and brown-rot fungus (Gloeophyllum trabeum). Thermal and chemical characteristics were evaluated by Fourier transform infrared spectroscopy (FT-IR) and thermogravimetric (TG) analyses. The wood which incorporated 0.3 wt% of Al2O3 presented a weight loss 91.5% smaller than the untreated wood after being exposed to the white-rot fungus. On the other hand, the highest effectiveness against the brown-rot fungus was reached by the wood treated with 5 wt% of Al2O3, which presented a mass loss 91.6% smaller than that of the untreated pine wood. The Al2O3-treated woods presented higher antifungal resistances than the untreated ones in a way that: the higher the Al2O3 content, the higher the thermal stability. In general, the impregnation of the Al2O3 particles seems to be a promising treatment for wood protection against both studied wood-rot fungi. Additionally, both FT-IR and TG results were valuable tools to ascertain chemical changes ascribed to fungal decay.
Generalized Preisach model for the description of hysteresis and eddy current effects in metallic ferromagnetic materials

We discuss a generalization of the Preisach model, based on the assumption that each point (α,β) of the Preisach plane corresponds to a small correlation region of the system cross section, inside which magnetic flux reverses at a rate Φ ∝ Ha − α (or Ha − β) when the applied field Ha exceeds the threshold α (or β). When the magnetizing frequency f is low, the model reduces to the conventional Preisach model. When f is increased, the model predicts that the area of the hysteresis loop should increase with f according to the law C0 + C1f + C2√f, where C1 is related to the so‐called classical loss and C2 is expressed directly in terms of the Preisach function, p(α,β). The prediction of the existence of the excess loss term C2√f is in agreement with experiments. The fact that the coefficient C2 is calculated from p(α,β) implies that one can predict dynamic losses directly from quasistatic hysteresis losses, a remarkable conclusion which is also confirmed by recent investigations with electrical steels.
Adaptive multi-objective archive-based hybrid scatter search for segmentation in lung computed tomography imaging

This article proposes a multi-objective clustering ensemble method for medical image segmentation. The proposed method is called adaptive multi-objective archive-based hybrid scatter search (AMAHSS). It utilizes fuzzy clustering with optimization of three fitness functions: global fuzzy compactness of the clusters, fuzzy separation and symmetry distance-based cluster validity index. The AMAHSS enables the search strategy to explore intensively the search space with high-quality solutions and to move to unexplored search space when necessary. The best single solution is processed using the metaclustering algorithm. The proposed framework is designed to segment lung computed tomography images for candidate nodule detection. This candidate nodule will then be classified as cancerous or non-cancerous. The authors validate the method with standard k-means, fuzzy c-means and the multi-objective genetic algorithm with different postprocessing methods for the final solution. The results obtained from the benchmark experiment indicate that the method achieves up to 90% of the positive predictive rate.
Microfluidic and Label-Free Multi-Immunosensors Based on Carbon Nanotube Microelectrodes

We fabricated microfluidic and label-free multi-immunosensors by the integration of carbon nanotube (CNT)-arrayed electrodes and microchannels with pneumatic micropumps made of poly(dimethylsiloxane). In the microfluidic systems, four kinds of sample solutions were transported from each liquid inlet to microchannels using six pneumatic micropumps. As a result, two kinds of antibodies were immobilized onto different CNT electrodes using the microfluidic systems. Next, two kinds of cancer markers, prostate specific antigen and human chorionic gonadotropin in phosphate buffer solution, were simultaneously detected by differential pulse voltammetry. Therefore, microfludic multi-immunosensors based on CNT electrodes and pneumatic micropumps are useful for the development of multiplex hand-held biosensors.
Discovery of a 7 Second X-Ray Pulsar, AX J1845.0–0300

We report here a serendipitous discovery of a faint X-ray pulsar, AX J1845.0-0300, with ASCA. Its period of ~7 s, together with its low luminosity and the soft spectrum, suggest that it may be the eighth candidate member of braking X-ray pulsars. Two observations, 3.5 yr apart, showed a significant flux decrease of more than 1 order of magnitude. The source is in the Scutum arm region (l ~ 30°), which was claimed as a colony of X-ray pulsars by Koyama et al. This discovery strengthens the hypothesis by Koyama et al. that there may be a number of low-luminosity pulsars on the Galactic plane, particularly in the Scutum arm region.