Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of methods and tools for the design and optimisation of Brushless Doubly-Fed Induction Machines for variable speed application in Hydro-generation

Les Stations de Transfert d’Energie par Pompage (STEP) sont des structures importantes pour stabiliser le reseau electrique.Les technologies a vitesse variable peuvent ameliorer l'efficacite et la souplesse d’utilisation des STEPs. Les technologies actuelles telles que les machines alimentees en frequence variable, ou les Machines Asynchrone a Double Alimentations (MADA) presentent des inconvenients. Dans ce travail, nous nous concentrons sur une structure non conventionnelle de machine a vitesse variable : la Machine a Induction a Double Alimentation sans Balais (BDFM). Les objectifs sont de mieux comprendre le fonctionnement de cette machine pour la dimensionner, l’optimiser et finalement la comparer aux structures existantes.Apres un examen des techniques de dimensionnement et d'optimisation des machines classiques, des approches similaires sont etudiees pour les BDFM. Deux methodes differentes pour des simulations elements finis plus rapides de la BDFM sont presentees : une premiere, la plus rapide mais qui ne considere pas le phenomene de saturation et une seconde basee sur le principe des simulations magnetoharmoniques. Une analyse harmonique minutieuse combinee a une comparaison de cas en charges (couplage-croises) entre des simulations FE et les resultats obtenus avec des schemas equivalents obtenus dans la litterature conduit a une modification du circuit equivalent de la BDFM. Une nouvelle methode pour determiner les parametres de ce circuit grâce a des essais electriques est ensuite presentee. La determination des parametres a partir de la geometrie est egalement abordee pour aboutir a un modele semi-analytique derivable. Un tel modele, couple a un algorithme d'optimisation du 1er ordre pourrait etre extremement puissant lors du dimensionnement d'une BDFM. Le potentiel d'une telle approche est montre dans ce travail grâce a l'optimisation d'une machine a induction.
Promosi Harga, Kualitas Makanan, Citra Merek, Nilai Persepsi, Kualitas Pelayanan Yang Mempengaruhi Word Of Mouth Dan Niat Membeli Kembali Yang Di Mediasi Kepuasan Pelanggan Brand “Chatime” Umur 18-24 Tahun Di Bekasi

Abstrak - Tujuan dari penelitian ini adalah untuk mengetahuiPromosi Harga, Citra Merek, Kualitas Makanan, Nilai Persepsi, Kualitas Pelayanan yang mempengaruhi Word Of Mouth dan Niat Membeli Kembali yang di mediasi Kepuasan Pelanggan brand “Chatime” di umur 18-24 Tahun di Bekasi. Diharapkan penelitian ini memberikan kontribusi pada tataran teori atau keilmuan manajemen pemasaran dan juga memberikan implikasi dalam manajerial pada pengelolaan bisnis. Penelitian ini menggunakan metode survei sebagai teknik pengumpulan data, dengan kuesioner sebagai alat instrumen dan disebarkan secara online. Teknik penentuan responden penelitian menggunakan metode purposive sampling. Penelitian ini menghasilkan beberapa temuan, pertama Promosi harga berpengaruh positif signifikanterhadap kepuasan pelanggan. Kedua, citra merek berpengaruh positif signifikan terhadap kepuasan pelanggan. Ketiga, kualitas makanan berpengaruh positif tidak signifikanterhadap kepuasan pelanggan. Keempat, kualitas pelayanan berpengaruh positif tidak signifikan terhadap kepuasan pelanggan dan nilai persepsi berpengaruh positif signifikan terhadap kepuasan pelanggan. penelitian ini juga menemukan adanya peran mediasi dari variabel Kepuasan pelanggan, sebagai faktor Promosi harga, Citra merek, Kualitas Makanan, Kualitas Pelayanan mempengaruhi niat membeli kembali dan Word of mouth melalui Kepuasan Pelanggan. Terdapat implikasi manajerial pada penelitian ini bagi brand “Chatime”, yaitu untuk meningkatkan adanya promosi harga,kualitas makanan,citra merek dan nilai persepsi serta kualitas pelayanan pada pelanggan, dan diharapkan untuk tetap menjaga kualitas dari suatu brand melainkan bisa menjaga ekspetasi pelanggan dan bisa mencapai kepuasan pelanggan dengan pelanggan yang terus meningkat.
Optimum Performance Analysis and Receiver Design for OFDM-Based Frequency-Splitting SWIPT With Strong Nonlinear Effects

Multicarrier-based frequency splitting simultaneous wireless information and power transmission (FS-SWIPT) signals are very prone to nonlinear effects due to the combination of high-power energy harvesting (EH) subcarriers with low-power data subcarriers. In this article, we study the impact of nonlinear effects in FS-SWIPT signals, as well as ways to minimize these effects on the data transmission performance. We start by analytically characterizing the impact of nonlinear devices on the signals, showing that the nonlinear effects on data subcarriers are exacerbated by a factor close to the ratio between the power spectral densities of EH and data terms. This suggests that conventional receivers, that treat nonlinear distortion as an additional noise term, can have very poor performance. Then, we present an iterative receiver that iteratively estimates and cancels nonlinear distortion, and is able to have a performance close to the linear case. Finally, we study the optimum performance of FS-SWIPT signals with strong nonlinear distortion levels, showing that, by using optimum receivers, the nonlinear distortion term can be used to improve the performance of FS-SWIPT, even outperforming the linear case.
Rolling Bearing Fault Diagnosis Based On Convolutional Capsule Network

Fault diagnosis technology has been widely applied and is an important part of ensuring the safe operation of mechanical equipment. In response to the problem of frequent faults in rolling bearings, this paper designs a rolling bearing fault diagnosis method based on Convolutional Capsule Network (CCN). More specifically, the original vibration signal is converted into a two-dimensional time-frequency image using continuous wavelet transform (CWT), and the feature extraction is performed on the two-dimensional time-frequency image using the convolution layer at the front end of the network, and the extracted features are input into the capsule network. The capsule network converts the extracted features into vector neurons, and the dynamic routing algorithm is used to achieve feature transfer and output the results of fault diagnosis. Two different datasets are used to compare with other traditional deep learning models to verify the fault diagnosis capability of the method. The results show that the convolutional capsule network has good diagnostic capability under different working conditions, even in the presence of noise and insufficient samples, compared to other models. This method contributes to the safe and reliable operation of mechanical equipment and is suitable for other rotating scenarios.
Aggregate Functions in Categorical Data Skyline Search (CDSS) for Multi-keyword Document Search

- Literature review is the first step in starting research for a deep understanding of the research interest. However, finding literature relevant to research interests is difficult and takes time. Skyline query is a method that can be used for filtering. An object p is said to dominate object q if p equals q on all of its attributes, and p is at least better than q on one attribute. Categorical Data Skyline Search (CDSS) is an algorithm that can filter skyline objects in categorical data types such as documents. CDSS uses Extended Distance Wu and Palmer (DEWP) to calculate the distance between the user query and document keywords. The document keywords and user queries are represented as nodes in the ACM CCS ontology, and documents are assumed to be represented by a single keyword. This study aims to use the CDSS algorithm to search for skyline documents represented by more than one keyword by adding an aggregate function (average, minimum, maximum) to the CDSS algorithm, especially in calculating DEWP. This study used the thesis documents from the IPB University computer science department. Document keywords will be extracted using the Term Frequency-Inverse Term Frequency (TF-IDF) method. The collected keywords will be mapped in a mixed ontology tree that refers to the Association of Computing Machinery Computing Classification System 2012 (ACM CCS 2012) and Computer Science Ontology (CSO) as ontology standards in computer science. The skyline query algorithm for determining skyline documents is Block Nested Loop (BNL). The evaluation method uses the skyline ratio of each aggregate function in the CDSS. Based on the ratio value, CDSS using the maximum DEWP has the most relevant skyline results compared to the average DEWP and minimum DEWP.
Innovación abierta como acelerador de competitividad y resultados empresariales, un estudio bibliométrico

La competitividad empresarial representa una propuesta de valor única para el mercado, esto se debe al conjunto de esfuerzos internos, materializados por medio de recursos, y potencial humano, estando alineados a la estrategia organizacional, pero esta dinámica no debe ser desligada de los factores del entorno. Por ello el propósito del estudio fue analizar a la innovación abierta y la competitividad y los recursos empresariales a través de la investigación bibliométrica. Los resultados muestran que el modelo abierto catapulta los motores de competitividad, así como la estrategia y ventaja competitiva, además evidencian que es una vía proba para la consecución de réditos producto de la innovación, también que el paradigma a transcendiendo barreras culturales, sociales o económicas, siendo estudiada desde distintas perspectivas, ampliando la idea seminal con nuevos enfoques, emergiendo como una propuesta desde la académica, como herramientas novedosas, a la gestión empresarial, palpándose que la innovación abierta se ha estudiado predominantemente en países desarrollados, generando teorías que influyen en los países en desarrollo.
Distributed Adaptive FBC of Uncertain Nonaffine Multiagent Systems Preceded by Unknown Input Nonlinearities With Unknown Gain Sign

An adaptive filtered backstepping control (FBC) is proposed for cooperative tracking control of uncertain nonaffine nonlinear multiagent systems preceded by input nonlinearities with unknown gain sign. The input nonlinearities can be backlash-like hysteresis and dead-zone. The gains of input nonlinearities are unknown nonlinear functions with unknown sign. To cope with unknown nonlinearities neural networks based on universal approximation theorem are utilized. The weights of neural networks are derived based on appropriate adaptive rules. Using the proposed adaptive FBC desirable steady-state and transient response can be achieved. Based on Lyapunov synthesis approach all the adaptive laws are extracted. It is proved that all the signals in the closed-loop network are semi-globally uniformly ultimately bounded and the outputs of the agents track the leader’s output asymptotically. Simulation results demonstrate the applicability and effectiveness of the proposed method.
Random noise test of ADCs with a sinusoidal stimulus

The recommended random noise test for analogue to digital converters (ADCs), as stated in the IEEE 1057 Standard for Digitizing Waveform Recorders, suggests the utilization of a triangular signal as the stimulus for the ADC under examination. However, we will demonstrate that an alternative option of employing a sinusoidal stimulus signal is equally feasible. This substitution provides enhanced flexibility during the testing process and enables the utilization of sine fitting algorithms.
Rapid detection of gravitational waves from compact binary mergers with PyCBC Live

We introduce an efficient and straightforward technique for rapidly detecting gravitational waves from compact binary mergers. We show that this method achieves the low latencies required to alert electromagnetic partners of candidate binary mergers, aids in data monitoring, and makes use of multidetector networks for sky localization. This approach was instrumental to the analysis of gravitational-wave candidates during the second observing run of Advanced LIGO, including the period of coincident operation with Advanced Virgo, and in particular the analysis of the first observed binary neutron star merger GW170817, where it led to the first tightly localized sky map ($31~\mathrm{deg}^2$) used to identify AT 2017gfo. Operation of this analysis also enabled the initial discovery of GW170104 and GW170608 despite non-nominal observing of the instrument.
Investigation into effective mechanical properties of porous material produced by the additive manufacturing method

A BSTRACT . Porous materials are defined as materials that contain holes, voids, or spaces in their structures, which can be interconnected or isolated. In the most complex forms of these materials, the holes can have irregular shapes with a random distribution in size, location, and direction, making studying their properties a challenging problem. Additive manufacturing techniques offer opportunities to create complex structures, and in this paper, we investigate the effective mechanical properties of porous material produced by the Fused Displacement Modeling (FDM) technique. We also propose an algorithm for generating a porous body containing irregularly shaped holes with arbitrary distributions in size and location while maintaining specific porosity. Due to the orthotropic properties of bodies created by the FDM technique, Reinforced Isotropic Solid Modeling (RISM) is combined with existing theories that calculate the effective properties of isotropic materials. For the experiments, some modified standard specimen with a porosity of 0.05 to 0.40 has been fabricated, and the elastic modulus and ultimate stress have been calculated using the tensile test. Finally, the results are compared with experimental data.
Pengaruh Hedonic Shopping Motives dan Social Media Product Browsing terhadap Online Impulse Buying Produk Fashion pada Gen-Z di Pangkalpinang

This research is motivated by a shift in people's consumption behavior that leads to consumptive behavior towards impulsive purchases online. This study aims to identify and analyze studies on the influence of hedonic shopping motives and social media product searches on impulse buying of fashion products online among Gen-Z in Pangkalpinang. This research is a quantitative descriptive study with a total sample of 130 respondents, sampling using non-probability sampling method with purposive sampling technique. The analytical method used is multiple linear regression analysis. The results of research on hedonic shopping motives and social media product browsing partially have a positive and significant effect on online impulse buying of fashion products for Gen-Z in Pangkalpinang. Simultaneous test results show that hedonic shopping motives and searching for social media products together have a positive and significant effect on the impulse to purchase online fashion products for Gen-Z in Pangkalpinang.
School instability in South Africa: a Systematic Review of Reflections and Experiences for a way forward

The attainment of objectives within the school system is contingent upon the presence of a favourable environment (Ajani, 2022). The escalation of school violence in KwaZulu-Natal (KZN) province, which has resulted in the disruption of academic activities, has raised concerns among education stakeholders regarding the crises in schools. Numerous instances of violent incidents resulting in fatalities and damage to both human life and property have been documented (Mahaye, Dlomo & Ajani, 2022). The occurrence of multiple established incidents has resulted in a lack of stability within schools, thereby creating an environment that is not conducive to effective teaching and learning. The present study investigates diverse factors contributing to educational instability in KwaZulu-Natal, drawing upon data derived from published literature and the authors' firsthand involvement as education administrators. The study's findings show that crime and violence are primarily responsible for school instability. Typically, incidents of violence and criminality in educational settings are the result of internal factors involving both learners and school staff members or maybe the result of external forces coming from members of the local community. Multiple strategies have been identified to mitigate instances of violence in the school setting, to foster a secure and favourable atmosphere for educational activities. In addition, several proposed measures have been put forward to ensure the stability of schools in the KwaZulu-Natal province. These include moral guidance, heightened security measures, the cultivation of emotional intelligence, instruction in philosophy, specifically African philosophy (Ubuntu), and the enhancement of teacher welfare packages.
The Association of Playing Hard-to-get Dating Strategies and Different Attachment Styles

In modern society, dating is a standard method in a close relationship. Our research question is whether there is an association between attachment styles and the dating strategies such as playing hard-to-get and easy-to-get. By chatting with women who play different dating strategies, participants who are heterosexual males will then complete the ECR questionnaire and self-reported survey. This study is important and novel because we focused on online attachment style and dating strategies. Our expected results will be high anxious participants would score higher to HtG confederate and respond to higher social desirability.
Coccoloba efigeniana and C. ibarrae, two new species of Coccoloba sect. Paniculatae Meisn. (Polygonaceae)

Two new species of Coccoloba sect. Paniculatae are described and illustrated from Mexico, Central and South America. Coccoloba efigeniana is described for Costa Rica, Panama, and The Guianas and can be distinguished from the similar C. mollis and C. latifolia by having obpyramidal and pilosulose fruits. C. ibarrae is described for the Mexican states of Oaxaca and Veracruz and it is similar to C. belizensis from which is distinguished by having larger, ribbed, and crowned fruits.
Synthesis and application of polypyrrole nanofibers: a review

State-of-the-art polypyrrole nanofiber-based nanoarchitectonics can be generally fabricated by electrospinning, interfacial polymerization and reactive template methods. Even though analogous nanofiber morphologies and nanofibrous network architectures can be obtained by these methods, the structural details and structural complexities may alter significantly as different synthesis methods are applied. For the electrospinning technique, on one hand, nanofibers can be directly obtained by spinning polypyrrole-containing dope solutions; on the other, the electrospun nanofiber mats can be used as templates to direct the nanofiber formation; a two-step fabrication process, including the electrospinning of polymer nanofiber mats and deposition of polypyrrole on the polymer nanofibers' surface, is generally employed. By tuning the electrospinning parameters, the composition, diameter, morphology, and alignment of the as-obtained electrospun nanofiber mat can be effectively controlled, which may allow the fabrication of polypyrrole nanofibers with sophisticated nanostructures and nanoarchitectures. Interfacial polymerization is capable of generating polypyrrole nanofibers without templates. It is speculated that the protonation and re-orientation of polypyrrole at the oil–water interface may decoil the polymer chains and transform them into more extended conformations, while the charged polymer chains more easily diffuse into the water phase and form a stable dispersion. Different from electrospinning, the reactive templates may drive the formation of polypyrrole nanofibers through either redox or protonation mechanisms. Nanofibers with different curvatures, compositions, and architectures can be obtained by using different types of reactive template in a simple, fast, environment-friendly and one-step manner. A wide range of applications have been demonstrated by the polypyrrole nanofiber-based nanoarchitectonics, including cell culture, tissue engineering, neural stimulation, energy storage, and organic electronics.
Larre atlantiarretako landareen sustraien atributuak ( traits ): lurzoruko ur-edukiaren eta mikrobiotaren eragina

: In the future, drought is expected to increase in intensity and duration due to the reduced precipitation and high temperatures, leading to significant losses in crop production and its productivity worldwide. Research on the drought response of plants is therefore urgently needed. This experiment has analysed the response to drought of six plant species of Atlantic grasslands, in the presence and absence of microorganisms, based on the root morphological traits. A design has been based on a split-plot design by randomised blocks in a greenhouse under controlled conditions, where the plants in 5 blocks were maintained at a capacity of 30% of their water content (simulating drought) and those in the other 5 blocks at 70% (simulating normal conditions). Two pots of the same species were placed in each block, adding the inoculum of the microorganisms only to one of them. As the main hypothesis, plants can under drought stress develop strategies for conservation or acquisition of soil resources (such as water or nutrients) by modifying root traits. The second hypothesis is that soil water content and the effect and response of micro-organisms are interdependent. The results indicate that both hypotheses were not fulfilled. On the one hand, the effect of reduced soil water content was dependent of root traits and species, and the strategy followed by each specie was identified : Festuca nigrescens , Lotus corniculatus , Trifolium repens and Jasione laevis fast growing strategy and Deschampsia flexuosa and Bellis perennis slow growing strategy. Moreover, reduced soil water availability did not affect the activity of the microorganisms, but it has been analysed whether the effect of that microorganisms has been positive or negative. In conclusion, the water content of 30% was insufficient to simulate drought.
Application of Mixed and Hybrid Finite Element Formulations

Partial Differential Equations (PDEs) are a fundamental tool in modelling various physical phenomena. The lack of closed form solutions in most cases continues to provide a strong incentive to seek stable and consistent numerical methods. This report deals specifically with the mixed and hybrid nite element formulations; ideas that were originally developed in the 1960's for problems in linear elasticity. Hybrid formulations have very attractive properties but are plagued with non-physical singular modes known as Spurious Kinematic Modes (SKMs). This report is devoted to the development of a hybrid scheme in linear elasticity that is free of SKMs. In the scheme, both the stress fields and kinematic fields are treated as primary variables and can hence be obtained together while also satisfying the equilibrium conditions throughout the physical domain. Subsequently, it is shown that optimal convergence is obtained for the stress and displacement fields. A versatile scheme is setup such that it can be solved efficiently by parallelisation of the system. Finally, an idea is mentioned regarding the extension to fluid dynamics.
Nutrition and Helicobacter pylori infection in gastric disease

H. pylori is a highly prevalent bacterial infection among humans. It is considered the major etiological factor in the development of chronic gastritis, peptic ulcers, and stomach cancer. Nutritional therapy is important for the prevention of gastritis, as well as for reducing stomach irritation (irritation) in the treatment of gastritis, and it plays an important role by helping to eradicate or strengthen the stomach wall. Chronic gastritis should be diagnosed before it progresses and causes fatal diseases such as peptic ulcer or cancer, and it should be treated with both a healthy diet and appropriate medications.