Miracle-dz/UniFAR-FTUs huggingface dataset:
Big Data: Balancing its Usefulness in Managing an Organization Performance and Ethical Consideration

Big data is one of the important technologies that create superior competitive position for an organization. In the digitalized age, big data provide organization with useful insights for enhancing their decision-making process. This is because information can be collected, analyzed and utilized quicker, larger, and in more complicated scale than most people could ever grasp. However, big data has the potential to have a beneficial or negative impact on the lives of millions of people. It could enhance futures when utilized properly. Businesses utilize data to compile information from many sources in order to create knowledge, enhance predictions, and personalize offering. As a result, big data has also come under fire for being an invasion of privacy, potentially discriminatory, and plain creepy. Hence, the purpose of this study is to lift the big data usefulness in the organizational performance and the ethical consideration. Big data ethics seek to establish a moral and ethical standard for data use since the issue of ethics in big data work towards fostering a sustainable big data industry. Big data makes it possible to access data-information that might violate people's privacy unintentionally or on purpose, be used improperly. This calls into question the morality of sharing and using data for commercial purposes. In conclusion, it can be said that organizations need ongoing interactions and alignment between the core values model of the organization, those engaged in big data and the interests of stakeholders in order to realizes the ethical value from big data in this era of digital technology revolution that makes access to big data potable and interconnected
Ionospheric Anomaly associated with Xiaolin Mudslide following Typhoon Morakot in Taiwan: Two-Dimensional Principal Component Analysis (2DPCA)

Abstract This paper reports on the application of two-dimensional Principal Component Analysis (2DPCA) to characterize the two dimensional total electron content (TEC) in the ionosphere associated with the Xiaolin mudslide at 10:09 August, 8, 2009 (UTC) in the aftermath of Typhoon Morakot. Our results revealed a five minute TEC anomaly over the location of the Xiaolin mudslide (23.162°N and 120.644°E) from 10:15 to 10:20 (UTC). This paper tries to address the cause of the TEC anomaly, in particular considering high-speed shock waves in the form of an impulse wave produced by mudslide, more dense TEC data are still necessary to confirm this hypothesis.
Building and Programming a Universal Ion Trap Quantum Computer

Title of dissertation: Building and Programming a Universal Ion Trap Quantum Computer Caroline Margaret Figgatt Doctor of Philosophy, 2018 Dissertation directed by: Professor Christopher Monroe Department of Physics Quantum computing represents an exciting frontier in the realm of information processing; it is a promising technology that may provide future advances in a wide range of fields, from quantum chemistry to optimization problems. This thesis discusses experimental results for several quantum algorithms performed on a programmable quantum computer consisting of a linear chain of five or seven trapped Yb atomic clock ions with long coherence times and high gate fidelities. We execute modular oneand two-qubit computation gates through Raman transitions driven by a beat note between counter-propagating beams from a pulsed laser. The system’s individual addressing capability provides arbitrary single-qubit rotations as well as all possible two-qubit entangling gates, which are implemented using a pulse-segmentation scheme. The quantum computer can be programmed from a high-level interface to execute arbitrary quantum circuits, and comes with a toolbox of many important composite gates and quantum subroutines. We present experimental results for a complete three-qubit Grover quantum search algorithm, a hallmark application of a quantum computer with a well-known speedup over classical searches of an unsorted database, and report better-thanclassical performance. The algorithm is performed for all 8 possible single-result oracles and all 28 possible two-result oracles. All quantum solutions are shown to outperform their classical counterparts. Performing parallel operations will be a powerful capability as deeper circuits on larger, more complex quantum computers present new challenges. Here, we perform a pair of 2-qubit gates simultaneously in a single chain of trapped ions. We employ a pre-calculated pulse shaping scheme that modulates the phase and amplitude of the Raman transitions to drive programmable high-fidelity 2-qubit entangling gates in parallel by coupling to the collective modes of motion of the ion chain. Ensuring the operation yields only spin-spin interactions between the desired pairs, with neither residual spin-motion entanglement nor crosstalk spinspin entanglement, is a nonlinear constraint problem, and pulse solutions are found using optimization techniques. As an application, we demonstrate the quantum full adder using a depth-4 circuit requiring the use of parallel 2-qubit operations. BUILDING AND PROGRAMMING A UNIVERSAL ION TRAP QUANTUM COMPUTER
Stanley–Reisner rings of simplicial complexes with a free action by an abelian group

We consider simplicial complexes admitting a free action by an abelian group. Specifically, we establish a refinement of the classic result of Hochster describing the local cohomology modules of the associated Stanley–Reisner ring, demonstrating that the topological structure of the free action extends to the algebraic setting. If the complex in question is also Buchsbaum, this new description allows for a specialization of Schenzel’s calculation of the Hilbert series of some of the ring’s Artinian reductions. In further application, we generalize to the Buchsbaum case the results of Stanley and Adin that provide a lower bound on the h-vector of a Cohen–Macaulay complex admitting a free action by a cyclic group of prime order.
Deep Matrix Factorization for Recommender Systems with Missing Data not at Random

Matrix Factorization is a widely used collaborative filtering method in recommender systems. However, most of them are under the assumption that the rating data is missing at random (MAR), which may not be very common. For some users, they may only rate those movies they like, so the inferences will be biased in previous models. In this paper, we proposed a deep matrix factorization method based on missing not at random (MNAR) assumption. As far as we know, this model firstly uses deep learning method to address MNAR issue. The model consists of a complete data model (CDM) and a missing data model (MDM), which are both learned by neural networks. The CDM is nonlinearly determined by two factors, the user latent features and item latent features like other matrix factorization methods. And the MDM also use these two factors but taking the rating value as extra information while training. We used variational Bayesian inference to generate the posterior distribution of our proposed model. Through extensive experiments on different kind of datasets, our proposed model produce gains in some widely used metrics, comparing with several state-of-the-art models. We also explore the performance of our model within different experimental settings.
PCRTM-RA Enhancements for Improving CO Retrievals Using NAST-I Measurements From the FIREX-AQ Field Campaign

The principal-component-based radiative transfer model retrieval algorithm (PCRTM-RA) for carbon monoxide (CO) retrieval has been improved for better use of National Airborne Sounder Testbed-Interferometer (NAST-I) measurements obtained during the Fire Influence on Regional to Global Environments and Air Quality field campaign. One of the explicit purposes of the campaign was to characterize wildfire-induced atmospheric changes. Coincidental measurements from various airborne instruments, including NAST-I infrared hyperspectral measurements from the NASA ER-2 aircraft, provided us an opportunity to test and improve the PCRTM-RA CO retrieval. By relaxing the vertical correlation of CO profiles in the a priori covariance constraint, a significant improvement in the vertical structure of the CO retrieval has been confirmed. The methodology is validated using a synthetic testing dataset that covers observations associated with various CO vertical profiles, including that of an extremely polluted atmosphere. The methodology is also applied to real NAST-I measurements, and the results have successfully demonstrated the capability of using PCRTM-RA retrieval results for CO plume evolution and transport monitoring.
Arquitetura de Simulação de Missões com Drones com Aspectos Mais Realistas de Comunicação Ar-Terra

Os Veículos Aéreos Não Tripulados (ou UAV, do inglês Unmanned Aerial Vehicles) tiveram um crescimento significativo devido a seus preços acessíveis, disponibilidade e facilidade de operação. Esses benefícios de operabilidade levaram a sua introdução em muitas aplicações civis, incluindo vigilância, monitoramento remoto, operações de socorro, além do uso recreativo. Para aplicações críticas, uma plataforma realista de simulação de missão de UAV, incluindo modelos precisos para prever o alcance e a qualidade da comunicação entre o UAV e a estação terrestre, é de grande valia para garantir a eficácia e a segurança do voo. Nossos estudos mostraram que as plataformas de simulação são, em geral, simplificadas quanto aos modelos de comunicação. Neste artigo, propomos uma arquitetura de simulação baseada no SITL ArduPilot que introduz modelos de comunicação mais precisos.
Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller

The control of the doubly-fed induction motor is a complex operation because of this motor characterised by a non-linear multivariable dynamics, having settings that change over time and a significant link between the mechanical component and magnetic behavior (flux) (speed and couple). This article then proposes a new strategy of a robust control of this motor, which is decoupled due to the stator flux’s direction. The proposed control is integrated with the backstepping control which based on Lyapunov theory; this approach consists in constructively designing a control law of nonlinear systems by considering some state variables as being virtual commands, and the important branch of artificial intelligence type-2 fuzzy logic. The hybrid control backstepping-fuzzy logic consists in replacing the regulators applied to the backstepping control by regulators based on type-2 fuzzy logic. This control will be evaluated by numerous simulations where there is a parametric and non-parametric variation.
Family language policy in the context of return migration: A case study

Return migration has probably been granted the lowest attention in the field of family language policy (FLP). The current paper seeks to address this gap in the research and explores the dynamics of FLP of a Polish family in the context of their temporary migration to Germany and return migration to Poland. The authors investigate how mobility affects FLP, especially towards L1 (Polish) and L2 (German) in the context of migration and return migration. The study takes a qualitative, interview-based study design, supported by the language portrait technique. An analysis of the interview data has evidenced the parents’ strong support for the maintenance and development of L1 throughout the whole process of migration and return migration and the lack of it in the case of L2 after the return to Poland. The results have also evidenced that individuals in a family, including children, have significant autonomy and agency and can shape their independ- ent FLPs, which are aligned neither with their parents nor siblings.
Schema volumes finis : Estimation d'erreur a posteriori hierarchique par elements finis mixtes. Resolution de problemes d'elasticite non-linearie

This thesis contains three parts. Part one is concerned with numerical analysis. Starting from a mixed finite element interpretation of basic finite volume (F. V. ) schemes, a posteriori error estimation is analysed in the hierarchy of Raviart-Thomas elements. An explicit compatible estimator is given for these F. V. Schemes. Part two introduces a family of F. V. Schemes of finites differences type, for general structured one. Numerical experiments, for model problems, show that the precision order of the theoretical analysis may be reached. Part three presents the application of the F. V. Schemes to the numerical simulation of the deformations of a ruber bloc containing a finite crack. This corresponds to large deformations of a compressible hyperelastic material. The numerical experiments correspond to a constitutive law of Saint-Venant-Kirchhoff type. The results give the deformations and different stress tensors and first tests for quasi-incompressibility and damage silumations.
Comparison of the Polyamine Content of Five Spring Flowers with Wheat Germ as a Rich Anti-aging Polyamine Source for Preparation of Nutraceutical Products

Polyamines prolong longevity due to their role in cell proliferation and are regarded as an essential group of anti-aging substances that reduce the risk of cardiovascular, neurological, and chronic inflammatory illnesses, as well as cancer. Because of its importance in growth and tissue regeneration, discovering polyamine-rich sources has gotten a lot of interest. Given the role of polyamines in controlling plant growth and physiological changes in the spring after cold winter stress, high polyamine concentrations in quickly growing plant tissues such as flowers, blossoms, and germs are possible. Based on this premise, five different spring flowers were selected and isolated from relevant plants, dried, and then quantified for the first time using an accurate, simple, and repeatable quantification method, liquid chromatography–tandem mass spectrometry. According to the amount of spermidine found in the samples investigated in this study, dried flower powders of Wisteria sinensis (244.18 µg/g), Lonicera caprifolium (217.28 µg/g), and Jasminum officinale (200.33 µg/g) appear to be a good source of spermidine. With additional research, W. sinensis dried flower powder is a good source of polyamines, whereas L. caprifolium and J. officinale dried flower powders are recommended as a rich source of spermidine for the preparation of natural supplements for people over the age of 30 to improve cell proliferation and anti-aging.
ANALISIS PENGARUH FAKTOR KEPUTUSAN KONSUMEN DENGAN STRUCTURAL EQUATION MODELING PARTIAL LEAST SQUARE

ABSTRAK. Persaingan yang ketat diantara pengusaha kuliner yang terdapat di Kota Bandung, menimbulkan harapan bagi para pengusaha agar mampu bertahan dan terus berkembang dalam menjalankan usahanya. Faktor yang mempengaruhi keputusan konsumen diperlukan untuk menentukan target pemasaran. Faktor-faktor yang mempengaruhi keputusan konsumen (Y) menurut Engel, dkk (1994) adalah faktor lingkungan (X 1 ), faktor perbedaan individu (X 2 ) dan faktor proses psikologis (X 3 ). Metode yang dapat digunakan dalam penelitian ini adalah dengan menggunakan analisis Structural Equation Modeling (SEM) yang berbasis varians yaitu Partial Least Square (PLS). SEM dengan PLS berbasis varians sehingga mampu menangani dua kondisi yaitu kondisi dengan faktor yang tidak dapat ditentukan dan kondisi dimana solusi tidak dapat diterima. Penelitian ini menggunakan program computer smart PLS 3.0 dan menentukan variabel yang signifikan terhadap keputusan konsumen (Y) tempat makan di Kota Bandung. Berdasarkan hasil penelitian yang telah dilakukan, variabel yang diperoleh mempengaruhi keputusan konsumen (Y) adalah variable factor lingkungan (X 1 ) dan variable factor perbedaan individu (X 2 ). Kata Kunci: Keputusan Konsumen, Structural Equation Modeling Partial Least Square (SEMPLS). ABSTRACT. The intense competition among culinary entrepreneurs located in Bandung raised hopes for them to be able to survive and continue to thrive in business. Factors that influence the consumer's decision is needed to determine the target marketing. Factors that influence consumer decision (Y) according to Engel, et al (1994) is an environmental factor (X 1 ), individual differences factors (X 2 ) and the psychological process factor (X 3 ). Method that can be used in this research is to use analysis of Structural Equation Modeling (SEM) based variance Partial Least Square (PLS). SEM with PLS is method is based on the variance to be able to handle two conditions, is factor indeterminacy and inadmissible solution. This study used a computer program smart PLS 3.0 and determine the significant variables to the consumer’s decision (Y) where to eat in the city of Bandung. Based on the research that has been done, variables derived influencing consumer’s decision (Y) is variable environmental factors (X1)and the variable factors of individual differences (X2). Keywords: Consumer’s Decision, Structural Equation Modeling Partial Least Square (SEM PLS).
Side channel collision attack on TWINE-80 and DES with reduced masked rounds

In this work, we present the first side channel collision based key recovery attack on TWINE block cipher with 80-bit secret key and also present the improved version of the work done by Jongsung et al. in [14] on DES. We focus on TWINE-80 security when the first 7, 8 and 9-rounds of the cipher are masked. Our 7-masked round attack requires the lowest measurements (222.58) and can recover 12-bits of the secret key. In our 8-masked round attack, we can find 24-bits of the secret key with 232.58 measurements whereas in our 9-masked round attack, we are able to find 40-bits of the secret key information with 246.17 measurements. The fact that encryption and decryption functions of TWINE-80 are similar can be utilized to launch the above attacks when the last 7, 8 and 9 rounds of the cipher are masked. Thus, we show that atleast 20 rounds of TWINE-80 need to be masked to ensure security against side channel leakage. The differential characteristics constructed to demonstrate our attacks are new and hitherto not been reported before for TWINE-80. In our work on DES, we improved the 7-round masked attack in [14] using one more charachteristic mentioned in [15] and we recover full round 48-bit subkey of the first round. The data complexity of our attack is 236.99. The time complexity is 236.99 measurements and 235.99curve comparisons. Acknowledgments I would like to express my deepest gratitude to my advisor Dr. Donghoon chang for his guidance and support. The quality of this work would not have been nearly as high without his wellappreciated advice. I would also like to thank Mohona and Monika for devoting her time in discussing her idea with me and giving her invaluable feedback. I would like to dedicate this thesis to my loving and supportive parents who have always been with me, no matter where I am.
Réactivité chimique des aérosols d'iode en conditions accidentelles dans un réacteur nucléaire

Lors d’un accident nucleaire grave, plusieurs produits de fission peuvent etre liberes dans l'environnement. Parmi ces produits, l'iode radioactif (131I) est un des produits les plus dangereux en raison de ses consequences radiologiques elevees durant les premieres semaines suivant l'accident. Cet iode radioactif va principalement former des aerosols (CsI et AgI) dans le systeme de refroidissement du reacteur. Ils pourront ensuite reagir dans une atmosphere oxydante et humide pour former l’iode moleculaire gazeux I2. L'objectif de ce travail est d'etudier la reactivite des aerosols d'iodure afin d’identifier des voies chimiques possibles conduisant a la formation d'especes d'iode volatiles. Nous avons mene une etude theorique basee sur la theorie fonctionnelle de la densite, comprenant les corrections de Van Der Waals, pour definir les mecanismes des reactions chimiques se produisant a la surface des aerosols. Les resultats montrent que l'adsorption de l'eau sur les particules CsI et AgI n'est possible qu’a basse des temperatures et pour des taux d’humidite elevees, non representatives des conditions presentes dans l’enceinte de confinement mais pouvant etre rencontrees a l’exterieur de cette meme enceinte. Plusieurs voies de reaction conduisant a la formation d'especes d'iode volatiles (I2, IOH et IH) ont ete explorees. Ces travaux montrent que la formation de ces especes necessite une double oxydation de la surface. L’oxydant le plus reactif est OH°, resultant de la radiolyse a la vapeur. Dans ce cas, l'energie d'activation pour formation d'I2 est respectivement de 1,2 eV et 1,0 eV pour CsI et du AgI.
The Relationship of Gastrointestinal Disorders to Malnutrition in Children with Cerebral Palsy in the WKCP Community (Wahana Keluarga Cerebral Palsy) Yogyakarta, Indonesia

Background: One of the causes of malnutrition that often occurs is gastrointestinal disorders. The existence of anatomical and physiological abnormalities in the gastrointestinal tract is the main cause. This study aimed to assess the relationship between gastrointestinal disorders and the incidence of malnutrition in children with cerebral palsy in the WKCP community Yogyakarta, Indonesia. Methods: A cross-sectional analytic observational study involving 20 cerebral palsy subjects who met the inclusion and exclusion criteria. The data collection technique is by consecutive sampling. The type of data used in the research uses a questionnaire gastrointestinal symptoms rating scale (GSRS). Data status anthropometry has also been collected. Data analysis using SPSS with chi-square. Results: The mean age of the subjects was 8.9 ± 4.1 years. The male gender (60%) is greater than the female. The comparison of good nutritional status and malnutrition is not much different, namely 55%:45%, respectively. The percentage of children experiencing severe gastrointestinal symptoms is 25%. The most common gastrointestinal disorders are constipation (65%) and upper dysmotility disorders (60%). In the results of this study, there was no relationship between gastrointestinal disorders and the incidence of malnutrition (p=0.069). Conclusion: In this study, there was no significant relationship between gastrointestinal disorders and malnutrition in children with cerebral palsy. However, gastrointestinal disorders increase the morbidity and mortality of children with cerebral palsy, so it must be an important concern.
Modulation of Cell Response through the Covalent Binding of Fibronectin to Titanium Substrates

Titanium (Ti-6Al-4V) substrates were functionalized through the covalent binding of fibronectin, and the effect of the existence of this extracellular matrix protein on the surface of the material was assessed by employing mesenchymal stem cell (MSC) cultures. The functionalization process comprised the usage of the activation vapor silanization (AVS) technique to deposit a thin film with a high surface density of amine groups on the material, followed by the covalent binding of fibronectin to the amine groups using the N-(3-dimethylaminopropyl)-N′-ethylcarbodiimide hydrochloride/N-hydroxysuccinimide (EDC/NHS) crosslinking chemistry. The biological effect of the fibronectin on murine MSCs was assessed in vitro. It was found that functionalized samples not only showed enhanced initial cell adhesion compared with bare titanium, but also a three-fold increase in the cell area, reaching values comparable to those found on the polystyrene controls. These results provide compelling evidence of the potential to modulate the response of the organism to an implant through the covalent binding of extracellular matrix proteins on the prosthesis.