Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimistic and Pessimistic Solutions of Single and Multi-Objective Matrix Games with Fuzzy Payoffs and Analysis of Some Military Cases

هدیکچ کت هرفن ود رفص عومجم اب یزاب لئاسم لح یارب دیدج شور کی قیقحت نیا رد دنچ و یفده یدیاع اب یفده اب . تسا هدش داهنشیپ یزاف یاه کیدزن بیرقت موهفم زا هدافتسا کت یزاب هلئسم ،یزاف دادعا هزاب نیرت کت یزاب هلئسم کی هب یفده یدیاع اب یفده هزاب یاه بت یا یم لید دوش همانرب هلئسم تفج کی و باوج هبساحم یارب یطخ یزیر شوخ یاه هب نانکیزاب زا کی ره هنانیبدب و هنانیب یم تسد هیاهی زا هدافتاسا ااب . دیآ یم تباث یناگود یوی شوخ شزرا ،رادقم هزاب یسیرتام یزاب رد هک دوش نکیزاب یارب یزاب هنانیب 6 اب زااب یاراب یزااب هانانیبدب شزرا نکی 2 ، و نکیزاب یارب یزاب هنانیبدب شزرا 6 اب شوخ شزرا نکیزاب یارب یزاب هنانیب 2 همانرب هلئسم ود سپس . دنربارب دنچ یطخ یزیر نییعت یارب یفده شزرا شوخ یاه هزاب یفدهدنچ یزاب هنانیبدب و هنانیب نآ رظانتم یوتراپ هنیهب یاهدربهار و رادقم ا نانکیزاب زا کی ره یارب اه یم هئار هاب . دوش یزاب هیرظن دید زا هشناروآ فاکش رد مود یناهج گنج رد یناملآ و ییاکیرمآ یاهورین نیب دربن ،دربراک کی ناونع یم یسررب اه نااشن و دواش یم هداد دربهار روکذم شور زا هدافتسا اب هک دوش هب هنیهب یاه یرتکد لیلحت رب قبطنم ناهدنامرف یارب لدم نیا زا هدمآ تسد اکیرمآ یماظن ن یم یسررب یماظن دربن کی زا یرگید لاثم ،تیاهنرد . تسا میمصت نیا زا . دنراد فده ود ناهدنامرف زا کی ره نآ رد هک دوش
Realization of tunable plasmon-induced transparency by bright-bright mode coupling in Dirac semimetals

A numerical and theoretical study is presented on the realization of the tunable plasmon-induced transparency (PIT) effect in Dirac semimetal films (DSFs) that are known as “three-dimensional graphene”. The weak hybridization between the two parallel bright modes leads to the novel PIT optical response. The properties of the PIT system can be controlled by adjusting the geometric parameters of the DSF strips. Meanwhile, the resonant frequency of the PIT can be dynamically tuned by varying the Fermi energy of the DSFs instead of refabricating the structures. Correspondingly, by adjusting the Fermi energy of the DSFs, a large group delay of more than 1.86 ps is obtained in the vicinity of the transparency peaks. Such proposed DSFs-based PIT system may open up avenues for tunable terahertz switching, slow-light devices, sensing technology and some other THz devices.
Advancing basic psychological needs theory in marketing research

This paper presents a rigorous and in-depth systematic review of the literature on Basic Psychological Needs Theory (BPNT) and its applications in marketing research. Despite the widespread use of conventional models and theories in marketing research, motivational theories, such as BPNT, which have demonstrated significant effectiveness in driving motivation, have been relatively neglected. BPNT proposes that fulfilling basic psychological needs for autonomy, competence, and relatedness (ACR) leads to intrinsic motivation, emotional stability, and strong attachment. Our systematic review identifies how the constructs underpinned by BPNT have been utilized, as well as what research designs, contexts, and methodologies have been applied in marketing research. By integrating BPNT into marketing research, the authors aim to provide researchers with much-needed directions for future research and advocate for its continued growth. Specifically, the review notes tensions in terms of contradictory findings, identifies major gaps, and operationalizes BPNT in marketing research by establishing a set of marketing priorities (provided in the form of testable propositions) in seven major domains under the lens of BPNT. As the first systematic literature review of its kind, this theoretical study serves as an essential reference and valuable resource for scholars and practitioners aiming to explore and integrate BPNT into their research and practice.
Absence of Genotoxic Effect of Mercury Vapor in Lymphocytes of Occupationally Exposed Individuals

Objective: to evaluate the genotoxic effects caused by exposure to Hg vapor in individuals with occupational exposure in a municipality in northern Brazil. Methods: Blood samples were collected from 70 individuals (38 exposed and 32 unexposed controls) in heparinized tubes. The comet assay and the micronucleus test were used to detect the occurrence of genotoxic effects. The results were statistically analyzed using the Shapiro-Wilk normality test, Student's T test and ANOVA. Non-parametric data were analyzed using the Mann-Whitney and Kruskal-Wallis tests. Spearman's test was used to assess the correlation between dependent variables. Mean, geometric mean and standard deviation (SD) were calculated. Results and Conclusions: The evaluation of genotoxicity revealed no difference in the frequency of DNA damage when the two groups, control and exposed, were compared, even considering confounding variables such as smoking and alcoholism, gender, age, time of exposure. In conclusion, our results indicate that exposure to Hg vapor (elemental form) did not produce detectable genotoxic changes in blood cells in vivo. Research Implications: Although no genotoxic effects were detected in blood cells from individuals exposed to mercury vapor, studies with cells that are in more direct contact with this source of contamination, such as oral and nasal epithelial cells, should be performed to confirm whether elemental form of Hg has no genotoxic effect.
CONVERGENCE AND ERROR ANALYSIS OF DIFFRACTION FIELD ITERAT IVE NON-UNIFORM SAMPLING SCHEMES

Reconstruction of a light field from a set of non-uniformly distributed samples is important for holographic type of 3D scene display. The non-uniform sampling problem has been already addressed and rapidly convergent iterative schemes developed, mainly based on the method of Projection Onto Convex Sets (POCS) and matrix inversion by the method of Conjugate Gradients (CG). This paper presents a derivation of the convergence rates for both of the schemes and analyzes the factors which influence the error decay. The presence of clusters and gaps in the distribution of the given samples turns out to have the most significant influence on the convergence. Based on the analysis, a regularization method is derived for the CGbased reconstruction scheme which proves to be powerful even when the local sample density estimate is rough. The POCS-based scheme is generalized for the case of off-grid known samples. Its error analysis leads to similar conclusions for the convergence impact factors as in the CG-based scheme. In addition, the analysis suggests scenarios where the POCS excels, and others where the CG is much better.
Resonance interaction of two heavy particles in presence of a light one as a model of dark matter action

Abstract A three-body system consisted of two heavy and one very light particle is considered; it is shown that effective interaction between the heavy particles can resonantly increase at certain large distances. Their interactions with third particle can substantially change the character of forces acting between these heavy particles. An assumption that such phenomenal amplification can simulate dark matter action is made.
Fundamental Two-Party Quantum Secret Sharing Protocol without Quantum Entanglement

Quantum key distribution (QKD) protocol techniques are used in the distribution of keys using the laws of physics. Quantum secret sharing (QSS), quantum secure direct communication, and quantum teleportation, which are all included under QKD, are used to share or distribute a secure key in a quantum environment. In QSS, we share a key based on the quantum properties of light. We emphasize cooperation between communicating parties to eliminate untrustworthy members and to improve the strength of the key. The results obtained showed that using the proposed method, it is difficult for eavesdroppers to obtain the key.
Permodelan Regresi Logistik Biner terhadap Analisis Penderita Penyakit Jantung Koroner Di RSUD Dr SOEGIRI Lamongan

Abstrak—Penyakit jantung koroner (PJK) merupakan silent killer nomer satu di dunia. Menurut World Health Organization tahun 2019, PJK berada diurutan pertama dalam sepuluh besar penyakit penyebab kematian dimana sejak tahun 2000 – 2019 terus mengalami peningkatan hingga mencapai 8,9 juta kematian di tahun 2019. Menurut World Health Organization tahun 2013, peningkatan kematian terbesar dari 9,4 juta kematian akibat penyakit kardiovaskuler disebabkan oleh penyakit jantung koroner. Diperkirakan angka kematian tersebut akan mengalami peningkatan hingga 23,3 juta pada tahun 2030. Menurut hasil Riset Kesehatan Dasar (Riskesdas) tahun 2018, angka kejadian penyakit jantung koroner semakin meningkat dari tahun ke tahun dengan prevalensi penyakit jantung koroner di Indonesia sebesar 1,5%, yang artinya 15 dari 1.000 orang Indonesia menderita penyakit jantung. Di Provinsi Jawa Timur 2-3 dari 1000 orang menderita penyakit jantung koroner. Penyakit Jantung Koroner tercatatat sebagai penyakit ke 5 dalam 10 besar penyakit rawat jalan dan penyakit ke 8 dalam 10 besar penyakit rawat inap di RSUD Dr SOEGIRI Lamongan. Oleh karena itu, penelitian mengenai variabel yang diduga mempengaruhi penyakit jantung koroner akan dilakukan di RSUD Dr SOEGIRI Lamongan. Data diambil di bagian rekam medis RSUD Dr SOEGIRI Lamongan. Terdapat delapan variabel prediktor yaitu usia, jenis kelamin, hiperkolesterol, status merokok, hipertensi, diabetes, obesitas dan riwayat penyakit keluarga, variabel respon terdiri dari dua kategori yaitu pasien jantung yang menderita jantung koroner dan pasien jantung yang tidak menderita jantung koroner. Hasil analisis regresi logistik biner didapatkan bahwa jenis kelamin, hipertensi, diabetes dan status merokok berpengaruh terhadap penyakit jantung koroner dengan peluang pasien jantung berjenis kelamin laki laki, menderita hiperkolesterol, hipertensi dan diabetes berpeluang menderita penyakit jantung koroner sebesar 92,54%.
Guided Filter for Grayscale, RGB and HSV color space

: Guided filter is derived from a local linear model and in guided filter filtering output is computed by referring guidance image, which can be input image itself or different image. The Guided filter can be used as edge preserving smoothing and gradient preserving operator, it shows better result near edges. My work is focused on implementing guided filter algorithm, which is 2D algorithm. This algorithm is applicable to gray-scale image and color images like RGB and HSV by separating each color channel. The experiments show that the guided filter is effective in computer vision and graphics applications as well as edge preserving smoothing, detail enhancement, denoising, etc.
FUTURE SCENARIOS FOR TOURISM PROGRAMS OF HIGHER EDUCATIONAL INSTITUTIONS IN THE MUNICIPALITY OF BUGA AND ITS AREA OF INFLUENCE HORIZON 2021-2030

This research presents an analysis of the strategic prospective of the tourism academic training programs in higher education institutions in the municipality of Guadalajara de Buga and its area of ​​influence: El Cerrito, Ginebra, Guacarí, Restrepo, San Pedro, Yotoco and Calima Darién, (Government of Valle del Cauca., 2016). The objective of this study revolves around two axes: 1. Identify the possible and probable future scenarios of the tourist programs offered by higher education institutions in Guadalajara de Buga and its area of ​​influence; 2. From the identified scenarios, the bet scenario is defined to which the educational institutions that offer the tourist programs should be directed. According to the opinion of experts and key actors, the policies and strategies for the improvement oriented to the development and competitiveness of comprehensive academic training for professional training in tourism are determined by public and private institutions of higher education in Guadalajara de Buga and its area of ​​influence, seeking to generate a positive impact on the environment of the central region of the Valley and enriching its development for its insertion in an international context. This study applies the methodology proposed in "the toolbox of strategic foresight" and involves other methods such as analysis of importance and governance, as well as elements of sectoral analysis. This research was carried out in two phases: diagnostic and prospective. In the diagnosis, a documentary analysis was carried out, consultation with key actors and experts; Tools such as brainstorming, Regnier's Abacus, structural analysis were applied, and for the design of the scenarios the detailed analysis of the results was used in order to propose the exploratory scenarios and from these propose the bet scenario.
A Machine Learning and Optimization Framework for the Early Diagnosis of Bovine Respiratory Disease

Bovine Respiratory Disease (BRD) is an infection of the respiratory tract that is the leading reason for antimicrobial use in dairy calves and represents 22% of calf mortalities. The costs and effects of BRD can severely damage a farm’s economy, since raising dairy calves is one of the largest economic investments, and diagnosing BRD requires intensive and specialized labor that is hard to find. Precision technologies based on the Internet of Things (IoT), such as automatic feeders, scales, and accelerometers, can help detect behavioral changes before outward clinical signs of BRD. Such early detection enables early treatment, and thus faster recovery, with less long term effects. In this paper, we propose a framework for BRD diagnosis, its early detection, and identification of BRD persistency status using precision IoT technologies. We adopt a machine learning model paired with a cost-sensitive feature selection problem called Cost Optimization Worth (COW). COW maximizes prediction accuracy given a budget constraint. We show that COW is NP-Hard, and propose an efficient heuristic with polynomial complexity called Cost-Aware Learning Feature (CALF). We validate our methodology on a real dataset collected from 159 calves during the preweaning period. Results show that our approach outperforms a recent state-of-the-art solution. Numerically, we achieve an accuracy of 88% for labeling sick and healthy calves, 70% of sick calves are predicted 4 days prior to diagnosis, and 80% of persistency status calves are detected within the first five days of sickness.
A Simple Method for Creating Medical Illustrations Using Tablets

Medical illustrations are defined as illustrations that contain and convey medical information. Illustrations in surgical records play a pivotal role not only in recording medical information but also in sharing surgical information, improving own surgical skills, and teaching young doctors. However, we believe that creating a medical illustration from a blank sheet of paper is challenging for beginners. The computer-assisted illustration technique proposed in this article not only saves time but also provides accurate and easy-to-understand medical illustrations. This technical note aims to introduce a simple and easy method for creating medical illustrations by tracing intraoperative photographs using an iPad™ and an Apple Pencil™. We believe that “anyone can draw” detailed, easy-to-understand medical illustrations using the present method, and we hope that many young doctors will actively create medical illustrations.
Using discriminate function and counting mask operation for counting spacers in liquid crystals display plate

In this paper we create a simplified but effective image processing method for the automatic spacers counting device in the liquid crystals display manufacturing process. By using the new method of discriminate function and counting mask processing algorithm the samples were analyzed immediately. It should be emphasized out that because the spacers counter concern the quality of the liquid crystals displays product. So the application of this device with unsophisticated and economical equipment are confirmed in liquid crystals display manufacturing.
First-principles calculation of the elastic dipole tensor of a point defect: Application to hydrogen in α -zirconium

The elastic dipole tensor is a fundamental quantity relating the elastic field and atomic structure of a point defect. We review three methods in the literature to calculate the dipole tensor and apply them to hydrogen in $\ensuremath{\alpha}$-zirconium using density functional theory (DFT). The results are compared with the dipole tensor deduced from earlier experimental measurements of the $\ensuremath{\lambda}$ tensor for hydrogen in $\ensuremath{\alpha}$-zirconium. There are significant errors with all three methods. We show that calculation of the $\ensuremath{\lambda}$ tensor, in combination with experimentally measured elastic constants and lattice parameters, yields dipole tensor components that differ from experimental values by only 10%\char21{}20%. There is evidence to suggest that current state-of-the-art DFT calculations underestimate bonding between hydrogen and $\ensuremath{\alpha}$-zirconium.
Real-Time Eco-Driving Control With Mode Switching Decisions for Electric Trucks With Dual Electric Machine Coupling Propulsion

This article proposes a locally convergent, computationally efficient model predictive controller with mode switching decisions for the eco-driving problem of electric trucks. The problem is formulated as a bi-level program where the high-level optimises the speed trajectory and operation mode implicitly, while the low-level computes an explicit policy for power distribution of two electric machines. The alternating direction method of multipliers (ADMM) is employed at the high-level to obtain a locally optimal solution considering both speed optimisation and integer switching decisions. Simulation results indicate that the ADMM operates the powertrain with <inline-formula><tex-math notation="LaTeX">$0.9 {\%}$</tex-math></inline-formula> higher total cost and <inline-formula><tex-math notation="LaTeX">$0.86 {\%}$</tex-math></inline-formula> higher energy consumption than the global optimum obtained by dynamic programming for a quantised version of the same problem. Compared to a benchmark solution that maintains a constant velocity, the ADMM, running in a model predictive control framework (ADMM_MPC), operates the powertrain with a <inline-formula><tex-math notation="LaTeX">$8.77 {\%}$</tex-math></inline-formula> lower total cost and <inline-formula><tex-math notation="LaTeX">$10.3 {\%}$</tex-math></inline-formula> lower energy consumption, respectively. The average time for each ADMM_MPC update is <inline-formula><tex-math notation="LaTeX">$4.6 \,\mathrm{ms}$</tex-math></inline-formula> on a standard PC, indicating its suitability for real-time control. Simulation results also show that the prediction errors of speed limits and road slope in ADMM_MPC cause only <inline-formula><tex-math notation="LaTeX">$0.12 {\%}$</tex-math></inline-formula>–<inline-formula><tex-math notation="LaTeX">$0.56 {\%}$</tex-math></inline-formula> performance degradation.
Circuit Minimization with QBF-Based Exact Synthesis

This paper presents a rewriting method for Boolean circuits that minimizes small subcircuits with exact synthesis. Individual synthesis tasks are encoded as Quantified Boolean Formulas (QBFs) that capture the full flexibility for implementing multi-output subcircuits. This is in contrast to SAT-based resynthesis, where "don't cares" are computed for an individual gate, and replacements are confined to the circuitry used exclusively by that gate. An implementation of our method achieved substantial size reductions compared to state-of-the-art methods across a wide range of benchmark circuits.
A Voice-controlled Electronics Drawing Canvas Assistive System for People with Cerebral Palsy

We have developed a voice-controlled assistive system to improve the independence of people with Cerebral Palsy (CP) to do art painting. The system allows users who have severe motor deficiency in limbs to use their voice command to control a painting canvas to be within their reachable painting zone, and to dispense colour material on a rotatory palette for painting. Trials conducted at a CP Welfare Home show that the system allows the CP user to paint more independently and with minimum assistance from the care-worker.
Dynamic Segmentation : Detecting Complex Topology 3D-object

The continuous model of an image to segment can be used to consider the segmenting problem as the evolution of a 3D surface (modelised by spline tensorial products) under strenghts comparable to those used in "active contours" or "snakes". The advantage of this method is that this evolution can be modelled with a simple differential system, the variables of which are the coefficients of the B-splines representing the frontier. Moreover, this method is by nature adaptive : it is easy to control the number of B-spline used to represent the frontier, which makes it possible to improve progressively the result of the segmentation. Aprioriknowledge can easily be taken into account if provided under the form of a CAD model of the object to segment. Some topological problems may appear : surfaces topologically equivalent to spheres may have to be transformed into more complex topology surfaces (torus for instance). We propose a method to solve that problem.
Variable Density Self-Organizing Map for Incremental Learning

We propose a new incremental learning method of Self-Organizing Map. There are three problems in the incremental learning of Self-Organizing Map; 1. neuron depletion, 2. forgetting previous training data, 3. keeping topology. Weights fixed neurons and weights semi-fixed neurons are very effective for the second problem. However the other problems remains. Therefore, we improve the incremental learning method with weights fixed neurons and weights semi-fixed neurons. Our approach can increment neurons effectively in the incremental learning process.
Coating Material Development by Pulsed Laser Deposition for JIS SKD61 Steel Insert Pins Used in Aluminum Casting Industry

A Pulsed Laser Deposition (PLD) technique is a type of physical vapor deposition (PVD) technology. This research is one of a series of PVD studies aimed at determining the best PLD coating that can minimize the damage of steel pins made of SKD61 with a hardness of 48±1 HRc. The study began with the dummy blocks from SKD61 as research samples, followed by PVD-PLD with three coating materials as alternatives: Al/Cr (70:30), Al/Ti1 (50:50), and Al/Ti2 (63:37), all without active gases (N and C). The procedures used to test the research findings were FESEM, SEM, XRF, EDS, Vickers, and Rockwell Microhardness. The experiments were conducted at the BRIN Fotonic Research Center and the PT AHM Laboratory. The PLD process lasted for 10 minutes and employed an Nd: YAG laser with a wavelength of 1064 nm, a Q-switch with a time delay of 180 s, a pulse energy of 70 mJ, and a vacuum pressure of 1.161. 35 Torr.Based on the results of the coating study, an AlTi1 coating was found to be the most effective material coating. The coating consisted of amorphous particles with a size range of 10 nm to 20 nm The coating had a thickness of 23 µm, and the surface hardness was measured to be 474-523 mHv for the single-layer coating and 477-501 mHv for the multilayer coating. The materials in both single-layer and multilayer coating samples have the same hardness in ascending order: AlCr, AlTi2, AlTi1, with a Ti concentration rise from 0.7% to 3.7%. The impact of the Ti element is also crucial in increasing hardness, wear resistance, and roughness.