Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF THE TURKISH SERIES ON THE LATIN AMERICAN SOCIETIES IN THE CONTEXT OF THE CULTURE INDUSTRY

Today, especially with the globalization process, Turkish TV series are becoming widespread on the international market as a product of the culture industry, and gradually increasing their impact. During this period, in which the 2000s constituted an important breaking point, Turkish TV series reached a wide audience in Latin American countries as well as in the Middle East, the Balkans, Eurasia and Southeast Asia. The fact that Turkish TV series are followed with interest and have a large audience in Latin American countries, as in many other countries of the world, shows that Turkish TV series have important effects on the social structures and audiences of Latin American countries. This study aims to examine the main factors and dynamics that make Turkish TV series effective in Latin American societies as a product of the culture industry. Within the scope of the study, the findings obtained as a result of in-depth interviews with 20 people using the qualitative research method were analyzed through descriptive analysis. The research findings revealed that Turkish TV series have positive impacts on the social structure of Latin American societies towards Türkiye, as well as stimulating the learning of eating and drinking habits, clothing preferences, and more importantly, learning Turkish language and culture, which will affect social change.
Unraveling the Diverse Profile of N-Acyl Homoserine Lactone Signals and Their Role in the Regulation of Biofilm Formation in Porphyra haitanensis-Associated Pseudoalteromonas galatheae

N-acyl homoserine lactones (AHLs) are small, diffusible chemical signal molecules that serve as social interaction tools for bacteria, enabling them to synchronize their collective actions in a density-dependent manner through quorum sensing (QS). The QS activity from epiphytic bacteria of the red macroalgae Porphyra haitanensis, along with its involvement in biofilm formation and regulation, remains unexplored in prior scientific inquiries. Therefore, this study explores the AHL signal molecules produced by epiphytic bacteria. The bacterium isolated from the surface of P. haitanensis was identified as Pseudoalteromonas galatheae by 16s rRNA gene sequencing and screened for AHLs using two AHL reporter strains, Agrobacterium tumefaciens A136 and Chromobacterium violaceum CV026. The crystal violet assay was used for the biofilm-forming phenotype. The inferences revealed that P. galatheae produces four different types of AHL molecules, i.e., C4-HSL, C8-HSL, C18-HSL, and 3-oxo-C16-HSL, and it was observed that its biofilm formation phenotype is regulated by QS molecules. This is the first study providing insights into the QS activity, diverse AHL profile, and regulatory mechanisms that govern the biofilm formation phenotype of P. galatheae. These findings offer valuable insights for future investigations exploring the role of AHL producing epiphytes and biofilms in the life cycle of P. haitanensis.
Apport de la modélisation pour l'estimation de la teneur en pigments foliaires par télédétection

Le modele PROSPECT-5 est applicable en teledetection pour estimer la teneur en chlorophylle et en carotenoides foliaire a partir de mesures de reflectance et transmittance. Il est plus precis que les indices spectraux publies dans la litterature, qui n’utilisent que la reflectance. La validation des resultats effectuee sur pres de 1500 feuilles demontre aussi la capacite de PROSPECT-5 a synthetiser des proprietes optiques realistes utilisables pour calculer de nouveaux indices spectraux plus performants que les precedents. A l’echelle de la canopee, le couplage de PROSPECT-5 avec SAIL et le calcul d’indices pour predire la teneur en chlorophylle et le LAI diminue la dependance vis-a-vis des donnees experimentales. L’utilisation des indices comme information a priori ameliore la precision de l’inversion pour l’estimation de ces variables par rapport a une inversion simple ou des indices. L’estimation de la teneur en carotenoides necessiterait une etude plus approfondie et des donnees terrain supplementaires. Enfin le modele et la methode d’inversion sont appliques sur les donnees caracteristiques de capteurs operationnels ou en projet.
ASO-Based SHE Method on Hybrid Multilevel Inverter for PV Application Under Dynamic Operating Conditions

In multilevel inverters (MLI), output voltage waveform consists of dominant low order harmonics, which needs to be minimized. Simultaneously, good control over the fundamental voltage for desirable operation is needed. In this paper, an atom search optimization (ASO) based selective harmonic elimination (SHE) method is proposed for a variable dc bus based reduced component count (RCC) MLI. ASO is a population-based metaheuristic algorithm, which mathematically models the motion of atoms in nature to accurately determine the optimum firing angle of the switches by solving SHE fitness function. The proposed ASO SHE method outperforms recent metaheuristics based SHE methods such as bee algorithm, imperialistic colonial algorithm (ICA), firefly, particle swarm optimization (PSO), and teaching learning-based optimization (TLBO) in solving SHE problem for 11-level multilevel inverter. Detailed simulation case studies are presented to effectively demonstrate the performance of the proposed ASO SHE method on a stand-alone photovoltaic (PV) based RCC MLI subjected to sudden changes in irradiance, load and dc-link capacitor voltage. The experimental results on a PV based variable dc bus multilevel inverter validate the excellent performance of ASO SHE method in minimizing the total harmonic distortion (THD) and dominant order harmonics under sudden change in operating conditions.
Sub-Bandwidth Limited Time-Domain Signal in Mid-Infrared Quantum Cascade Lasers

Quantum cascade lasers (QCLs) offer an attractive platform for mid-infrared frequency combs, due to their compact, on chip geometry, emitting powers as high as 1 W at room-temperature [1–3]. A defining feature is their quasi-continuous intensity output, which is predominantly frequency modulated. To force the QCL into amplitude-modulated operation, active modelocking has been used to achieve pulses on the picosecond-scale [4] and external compression has yielded pulses close to the Fourier Limit at 630 fs [5]. For shorter length scales beyond the Fourier-limit, superoscillations, which are caused by the interference of the different Fourier components, offer great potential for use in ultrafast spectroscopic techniques [6], [7].
State Prediction and Anti-Interference-Based Flight Path-Following for UAVs

To eliminate the influence of nonlinear state terms in the highly-coupled unmanned aerial vehicle (UAV) model and improve the aircraft’s ability to suppress wind field interferences, this work presents a path-following scheme for UAVs. This method uses the radial basis neural network (RBNN) to develop an adaptive approximation law for the gyroscopic effect function to balance for the influence of system uncertainty and nonlinear state terms on UAV modeling and reduce the dependence of the UAV’s roll and pitch control orders on attitude velocity information. In addition, the adaptive update laws of the disturbance predictions are designed to compensate for the control input and repress the chattering and deviation of the drone. The stability of the proposed controller was proven by using the Lyapunov theorem. Simulations and experiments have shown that the controller can perform faster convergence speed and higher following accuracy of the flight position and attitude errors.
Wireless Automation for Agriculture Field: LoRa-Based Load Control and Monitoring

Renewable resources have the potential to address pressing environmental and energy challenges, yet their widespread adoption and utilization in agriculture monitoring remain limited. In particular, remote agricultural areas face challenges related to inefficient load control and limited connectivity, which can negatively impact agricultural operations and productivity. Existing solutions, such as traditional wired systems and other wireless protocols, have limitations in terms of cost, power consumption, and range, which hinder their effective implementation in remote agricultural settings. Therefore, there is a need for an innovative and cost-effective system that can provide efficient load control and reliable connectivity in remote agricultural areas to optimize resource utilization and enhance agricultural productivity. In this paper, we propose a novel system that leverages LoRa networking, a low-power, long-range wireless communication technology, to overcome these challenges and provide a sustainable solution for load control and connectivity in remote agricultural areas. This paper aims to demonstrate the effectiveness of the proposed system in addressing the identified challenges and contributing to the advancement of renewable resource utilization in the agricultural sector.
Recent Advances in Nutraceuticals for the Treatment of Sarcopenic Obesity

Sarcopenic obesity, low muscle mass, and high body fat are growing health concerns in the aging population. This review highlights the need for standardized criteria and explores nutraceuticals as potential therapeutic agents. Sarcopenic obesity is associated with insulin resistance, inflammation, hormonal changes, and reduced physical activity. These factors lead to impaired muscle activity, intramuscular fat accumulation, and reduced protein synthesis, resulting in muscle catabolism and increased fat mass. Myostatin and irisin are myokines that regulate muscle synthesis and energy expenditure, respectively. Nutritional supplementation with vitamin D and calcium is recommended for increasing muscle mass and reducing body fat content. Testosterone therapy decreases fat mass and improves muscle strength. Vitamin K, specifically menaquinone-4 (MK-4), improves mitochondrial function and reduces muscle damage. Irisin is a hormone secreted during exercise that enhances oxidative metabolism, prevents insulin resistance and obesity, and improves bone quality. Low-glycemic-index diets and green cardamom are potential methods for managing sarcopenic obesity. In conclusion, along with exercise and dietary support, nutraceuticals, such as vitamin D, calcium, vitamin K, and natural agonists of irisin or testosterone, can serve as promising future therapeutic alternatives.
Single-Molecule Microscopy in Ultrahigh Vacuum

Optical microscopy of single molecules is widely applied in studying dynamic processes with simultaneously high spatial and temporal resolutions under ambient conditions, such as cell membranes [1] and catalyst structures [2]. A prerequisite for achieving these high resolutions is to efficiently collect photons emitted from the object [3], which is commonly solved by applying high numerical aperture (NA) objectives and immersion oil. However, it is rather challenging to implement similar constructions for ultrahigh vacuum (UHV) applications, because of the outgassing of the imaging optics and the oil. In this work, we demonstrate that efficient photon collection can be achieved for single molecules on a surface in ultrahigh vacuum. This opens the possibility to combine optical microscopy with conventional surface science experiments.
Highly Sensitive Electrochemical Aptasensor for Detecting the VEGF165 Tumor Marker with PANI/CNT Nanocomposites

Sensing targeted tumor markers with high sensitivity provides vital information for the fast diagnosis and treatment of cancer patients. A vascular endothelial growth factor (VEGF165) have recently emerged as a promising biomarker of tumor cells. The electrochemical aptasensor is a promising tool for detecting VEGF165 because of its advantages such as a low cost and quantitative analysis. To produce a sensitive and stable sensor electrode, nanocomposites based on polyaniline (PANI) and carbon nanotube (CNT) have potential, as they provide for easy fabrication, simple synthesis, have a large surface area, and are suitable in biological environments. Here, a label-free electrochemical aptasensor based on nanocomposites of CNT and PANI was prepared for detecting VEGF165 as a tumor marker. The nanocomposite was assembled with immobilized VEGF165 aptamer as a highly sensitive VEGF165 sensor. It exhibited stable and wide linear detection ranges from 0.5 pg/mL to 1 μg/mL, with a limit of detection of 0.4 pg/mL because of the complementary effect of PANI/CNT. The fabricated aptasensor also exhibited good stability in biological conditions, selectivity, and reproducibility after several measurement times after the dissociation process. Thus, it could be applied for the non-invasive determination of VEGF, in biological fluid diagnosis kits, or in an aptamer-based biosensor platform in the near future.
Bi-Layer Grating Couplers for Hybrid SixNy- Si3N4 Photonics with Sub- Decibel Coupling Efficiency

Over the last twenty years, the research on silicon nitride has had a tremendous impact on the development of chip-scale nonlinear photonics, comb generation and related applications such as sensing, metrology, quantum technologies and communications [1], [2]. The low refractive index contrast between silicon nitride $(\text{Si}_{3}\mathrm{N}_{4}, \mathrm{n}=2.00$ at 1550 nm) and the silica cladding $(\text{SiO}_{2}, \mathrm{n}=1.44$ at 1550 nm), compared to the typical case of silicon waveguides (Si, $\mathrm{n}=3.48$ at 1550 nm), enables achieving extremely low propagation losses and better tolerances in the fabrication process. However, the smaller index contrast makes the design and realization of efficient grating couplers (GCs), which are commonly used to couple light from and to an out-of-plane optical fibre, more difficult than in the case of Silicon-on-Insulator (SOI) devices.
Low-Profile, Lightweight, Ultra-Wideband Tightly Coupled Dipole Arrays Loaded With Split Rings

An ultra-wideband and wide-scanning tightly coupled dipole array with low-profile height and lightweight is presented. A novel split ring (SR) printed on planar single-layer printed circuit board is designed and loaded on each element of the proposed array to replace the conventional wide-angle impedance matching (WAIM) superstrates, which usually consist of dielectric slabs. Consequently, the array achieves a 7.2:1 impedance bandwidth (0.3–2.15 GHz) while scanning up to 70° in the E-plane and 45° in the H-plane for active VSWR < 3.0. Larger scanning angles of 75° in the E-plane and 60° in the H-plane over the same operating frequency are obtained for a relaxed impedance matching criterion (active VSWR < 4.1). In a dual-polarized configuration based on modified SR-loadings, the cross-polarization level in the D-plane maintains below −20 and −15 dB for 45° and 60° scanning, respectively. The total thickness of the dual-polarized array is only 0.47 wavelength at the highest operating frequency. An $8 \times 8$ prototype array weighing only 4.3 kg (including an aluminum ground plane of 2.3 kg) was fabricated. The measured results are in good agreement with the simulated results.
The use of magnetic resonance imaging in the imaging of selected heart diseases - a review of the current literature

Cardiovascular diseases are still the most common cause of death worldwide [1]. Magnetic resonance imaging (MRI) is an advanced diagnostic technique that has become widely used in many fields of medicine, including the diagnosis of heart disease. MRI offers a non-invasive and safe approach to the anatomical and functional assessment of the heart, which enables characterization of the structure and function of this important organ [2]. In this text, we present the current state of knowledge on magnetic resonance imaging in selected heart diseases.
Experiential learning as principle of environmental education

Environmental education is an interdisciplinary field that integrates knowledge from various disciplines and enables learners to understand the complex relationships between human activities and the environment. The article reveals the principles and main models of experimental learning in environmental education. Environmental education emphasizes hands-on, experiential learning, where learners actively engage with the environment and learn by doing. This approach allows learners to develop a deeper understanding of environmental issues and fosters a sense of responsibility towards the environment.
Factor Hundred Compression of Multi-mJ 1.2 ps Pulses at 1030 nm to Few Cycles using Multi-Pass Cells

Multi-pass cells (MPCs) enable the accumulation of a large amount of B-integral while preserving the spatial mode of a laser beam and ensuring a uniform spectral distribution [1], [2]. In addition, MPCs used for post-compression allow achieving very large compression factors, without considerable degradation in temporal quality [3]. These qualities of MPCs, in combination with the high average power and pulse energy that Ytterbium-based lasers can deliver, open up the generation of ultrashort laser pulses with unprecedented properties [4].
Cultural Weed Management

Objectives: Students will be able to discuss what constitutes a cultural weed management practice and be able to give examples of such practices and benefits and short comings. Cultural " concerned with the fostering of plant growth " Cultural weed management involves the use of crop management practices to the benefit of the crop so that it grows more competitively than the weeds. Many cultural practices enhance the crop's ability to compete with weeds.
Self-Evolving Digital Twin-Based Online Health Monitoring of Multiphase Boost Converters

Component degradation in power electronic converters severely threatens the system's reliability. These components degrade over time due to switching action, and this phenomenon is further aggravated with wide band gap devices. For ensuring system reliability and accurate degraded component identification, the development of a real-time noninvasive health monitoring mechanism is desired. This article develops and validates a real-time digital twin (DT)-based condition monitoring for multiphase interleaved boost converters. The DT model is based on an actual state-space modeling approach which is solved numerically using Runge–Kutta fourth to mimic the physical system. Then, the output signals from physical hardware and the DT model are compared to find the least squared error-based multiobjective optimization problem. A metaheuristic approach like particle swarm optimization and genetic algorithm is used to estimate the health of components of the converter. The proposed methodology is extendable to different inductor coupling strategies under continuous-conduction-mode and discontinuous-conduction-mode operations. The idea is to generalize the DT modeling concept for condition monitoring. Moreover, the article proposes decoupling and hybrid approaches to improve estimation accuracy by 9.4% and reduce embedded computational requirements by 22%, respectively. A 75 kW, 60-kHz SiC IBC hardware prototype is built and tested for concept validation. Notably, the challenges and impact of various sensing integrity errors encountered during condition monitoring are also discussed. Finally, the article discusses novel pre and postprocessing steps for improving estimation accuracy and robustness in the case of control, sensing, and operating condition variability.
Analysis of the Effect of Magnetic Thickness and Rotating Speed on PMSG 24 Slot 16 Pole Characteristics

– Wind energy is one of the alternative energies that can overcome global warming caused by fossil energy. Permanent Magnet Synchronous Generator (PMSG) has a higher efficiency compared to other types of generators. The previous permanent magnet synchronous generator model was only able to produce efficiency at a rotational speed of 500 rpm of 67.30% and at a rotational speed of 1500 rpm of 80.9%, so further research is needed to get a higher efficiency value. This study aims to analyze the effect of magnetic thickness and rotational speed on PMSG characteristics and obtain a higher efficiency value. Using variations in magnetic thickness of 7.5mm, 9 mm, and 10 mm and variations in rotational speed of 500 rpm, 1000 rpm, and 1500 rpm using software based on Finite Element Methode, this study obtained the results of the largest current, voltage, input power, and output power at a magnetic thickness of 10mm with a rotational speed of 1500 rpm of 20.40 A, 204.06 V, 4979.60 W, and 4266.21 W, with the greatest efficiency being in the magnetic thickness of 9mm and 10 rpm of 89.20%.
Location of ureteral access sheath in the ureter. Does it affect the fluid flow in different calyces?

Introduction The aim of this study was to evaluate outflow variation in different locations of the pyelocaliceal system with the use of different ureteral access sheath (UAS) sizes and different UAS positioning. Material and methods The experimental setup included an anaesthetised porcine model, a 7.5-Fr ureteroscope with a 200-μm laser fibre inserted in the working channel, a hand-held pumping irrigating system, and UAS of different sizes, namely: 9.5/11.5 Fr, 12/14 Fr, and 14/16 Fr. Each UAS was placed just below the ureteropelvic junction (UPJ) or in the mid-ureter. The ureteroscope was placed in the renal pelvis, upper and lower calyces, and outflow measurements were obtained with 3-second interval pumping for one minute in every experimental setup. Results The UAS positioning in the mid-ureter was associated with significantly higher outflow rates in the lower calyx (p = 0.041). While the UAS was below the UPJ, we observed a trend of lower outflow rate in the lower calyx, which was completely inverted when the UAS was in the mid-ureter. Increasing the UAS size from 9.5/11.5 Fr to 12/14 Fr led to a significant increase in outflow in the renal pelvis and upper calyx (p = 0.007), but not in the lower calyx. A further increase to 14/16 Fr did not produce increased flow. Conclusions Different locations of the pyelocaliceal system have different fluid mechanics during fURS. In the renal pelvis and upper calyx increasing the diameter of the UAS improved the outflow, whereas in the lower calyx the position of the UAS seems to be the most relevant factor. These variables should be considered when performing fURS, especially with high-power laser lithotripsy.
Mapping Soil pH Buffering Capacity of Selected Fields

Soil pH buffering capacity, since it varies spatially within crop production fields, may be used to define sampling zones to assess lime requirement, or for modeling changes in soil pH when acid forming fertilizers or manures are added to a field. Our objective was to develop a procedure to map this soil property. One hundred thirty six soil samples (0 to 15 cm depth) from three Georgia Coastal Plain fields were titrated with calcium hydroxide to characterize differences in pH buffering capacity of the soils. Since the relationship between soil pH and added calcium hydroxide was approximately linear for all samples up to pH 6.5, the slope values of these linear relationships for all soils were regressed on the organic C and clay contents of the 136 soil samples using multiple linear regression. The equation that fit the data best was b (slope of pH vs. lime added) = 0.00029 - 0.00003 * % clay + 0.00135 * % O/C, r(exp 2) = 0.68. This equation was applied within geographic information system (GIS) software to create maps of soil pH buffering capacity for the three fields. When the mapped values of the pH buffering capacity were compared with measured values for a total of 18 locations in the three fields, there was good general agreement. A regression of directly measured pH buffering capacities on mapped pH buffering capacities at the field locations for these samples gave an r(exp 2) of 0.88 with a slope of 1.04 for a group of soils that varied approximately tenfold in their pH buffering capacities.