Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF PRODUCT QUALITY, ADVERTISEMENT, AND BRAND IMAGE ON PURCHASE DECISION MEDIATED BY CUSTOMER VALUE OF LOUIS VUITTON AT

Louis Vuitton is one of the upscale brands that offers and sells a wide range of ready-to-wear clothing and accessories such as wallets, bags, shoes, jewelry, and eyewear. To understand the behavior of consumer purchasing decisions, research is needed on product quality, advertising, brand image, and customer value in purchasing decisions for Louis Vuitton products. Data was collected by distributing questionnaires to respondents with characteristics who had bought Louis Vuitton products. After that the data obtained is processed with SmartPLS v. 3.3. 3 by analyzing reliability, validity, and common method bias. At the preliminary test stage by distributing questionnaires to 40 respondents and tested for reliability and validity. Then followed by actual testing by distributing questionnaires to 168 respondents and analyzing the data in more depth and detail. The results of the study show that consumers are interested in buying Louis Vuitton products because of advertising factors and customer value. With advertisements using K-Pop artists, consumers are more interested in making direct purchase decisions. With respondents who are mostly millennials who know that Louis Vuitton is an expensive brand, respondents still want to use Louis Vuitton brand products to fulfill their desires by following trends.
Synchronization of the Corona Crisis

Crisis is a conceptual tool for synchronizing different experiences of time. It is operative in notions of the Financial Crisis, the Crisis of Democracy, the Climate Crisis—and the Corona Crisis. This article explores that synchronization through an empirical inquiry into the different timescapes of the Corona Crisis. It builds empirically on 200 interviews with residents in Norra Botkyrka, which is located at the fringes of Sweden’s capital Stockholm. The thematic analysis shows how the respondents’ different time frames, time orders, tempos, and timings become synchronized through the crisis concept, but also how they invoke active and passive desynchronization. This temporal diversity points out the interplay between social differences and the various ways people are (de)synchronizing with the Corona Crisis.
Relationship between the Pilodyn Penetration and Wood Property of Larix kaempferi

This article studies the relationship among Pilodyn penetration,wood basic density and wood fiber property based on 79 Larix kaempferi in order to provide indirect estimate index of the wood property genetic improvement of Larix kaempferi. The result shows that there is remarkable difference among Pilodyn penetration,wood basic density and wood property on south and north directions. The Pilodyn penetration has significant negative correlation(-0. 454--0. 587) with the wood basic density in the same direction,the same with the late wood fiber property(-0. 329--0. 447),but has common negative correlation with the early wood fiber property(-0. 015--0. 137). We set up a path graphics between Pilodyn penetration and other wood indexes and get the new model which is retrenched from the old model and keeps 85% information. In the new model,the wood density contribution is 46. 71% ,the growth contribution is 24. 47% and the rest is the late wood fiber length,28. 82% . We constitute linear regression equation of Pilodyn penetration and the wood density,the result shows that the coefficient of determination of south directions (0. 425 3) is higher than north directions(0. 209) and the estimation precision of linear regression equation in south is 98. 05% ,in north is 97. 80% , which means that it is feasible and dependable to estimate the wood density of Larix kaempferi with the upper model.
Film Bulk Acoustic Wave Resonator (FBAR) Filter for Ku-band Transceiver

This paper presents the optimisation and analysis of the Ku-band FBAR using 3-D finite element modelling (FEM) is presented. The estimation of material damping coefficients (α and β) using the Akhieser approximation is carried out to estimate more accurate values of the coefficients, thus a more realistic value of Q factor will be achieved. The value of β calculated is 3.84e-14 and the Q factor of 300-330 has been achieved for the Ku-band FBAR. The Ku-band FBAR is designed with the optimum thickness ratio of electrode to the piezoelectric material (tm/tp) to achieve a maximum value of the electromechanical coupling coefficient (keff 2). A maximum value of keff 2 of 6.47% for series FBAR and 6.51% for shunt FBAR is achieved. This work also presents the design of Ku-band FBAR filter implemented with the optimised Ku-band FBAR by using the ABCD matrix method. The designed Ku-band FBAR filter has the centre frequency of 15.5 GHz, the insertion loss of -3.36dB, out-of-band rejection of-11.90dB and fractional bandwidth of 7.0%.
LEAF TRAITS OF THE INVASIVE SPECIES Bartlettina sordida (Less.) R.M. King NATURALIZED IN CIBODAS HIKING TRAIL, MT. GEDE PANGRANGO NATIONAL PARK, WEST JAVA, INDONESIA

Cibodas Botanical Garden (CBG) maintains not only native plant species but also introduced plant species. Some of these have been naturalized from CBG to the adjacent Mt. Gede-Pangrango National Park (GPNP). One of the reported naturalized species is Bartlettina sordida. Understanding species traits will give information for the future management of B. sordida. This research investigates the distribution of B. sordida in the Cibodas hiking trail and studies leaf traits variation of this species along with an altitudinal change in the Cibodas hiking trail. Samples were collected along the Cibodas hiking trail from the entrance gate to the Cibeureum waterfall. At every survey location, we recorded B. sordida occurrences. In the sample plots we also collected leaf samples from detected B. sordida. The leaves were then fixated using the hands-free method to observed stomatal type, density, and size. The leaves were also treated for specific leaf area (SLA) measurements. Stomata size is significantly correlated along the altitudinal gradient. Stomata density is negatively correlated but not significant along the altitudinal gradient. Stomata size is positively correlated with SLA. These traits are related to water-efficient adapting to GPNP climate, which is very different from its natural habitat. The ability to adapt to altitudinal gradient helps B. sordida to dominate the Cibodas hiking trail.
Efficiency of Coriandrum sativum (Linn.) and Petroselinum crispum (Mill.) in Enhancing Iron Absorption: An In Silico and In Vitro Approach

Coriandrum sativum (Linn.) and Petroselinum crispum (Mill.) are the common herbs used for culinary purposes in daily life. The chlorophyll pigment in plants is being identified with various medicinal values, whereas iron is an essential micronutrient for the proper metabolism of the human body. The current research has been aimed at predicting the role of C. sativum and P. crispum in enhancing iron absorption via an in vitro approach. C. sativum and P. crispum have been analyzed for their capability of being a source of chlorophyll and iron concentration. The extracts prepared from solvents like carbinol, petroleum ether, and water were subjected to the identification of phytoconstituents through gas chromatography-mass spectrometry analysis, and the identified compounds were subjected to in silico studies against the iron-binding receptor, transferrin, to depict the binding affinity of the identified compounds. The carbinol extract was then put through in vitro analytical studies in Caco2 cell lines with a concentration of 500 µg/ml. Current research has shown that the leaves of C. sativum and P. crispum are an excellent source of chlorophyll and iron and has also suggested that these herbs efficiently enhance the absorption of iron in human intestinal cells.
Application Research of Music Education to Improve the Mental Health of College Students under the Background of 5G

Fifth-generation (5G) communication technology, with its high speed, low latency, and wide coverage, will open up new possibilities for the extension of online collaborative learning as the society improves with the times. The 5G era’s intelligent information environment has begun to influence our way of life and work, and it has now spread to include our learning habits. In today’s world, with the rapid advancement of computer and communication technologies, a big number of high-tech subjects in our traditional curriculum have had a considerable influence. This study proposes a method of integrating soft computing techniques to the advancement of music education to enhance the mental health of college students in the conditions of 5G in order to help music education stay updated with the progress trends of the periods in this modern generation. Conventional control techniques and new accurate mathematical model control approaches both fail to accurately assess students’ mental health. To enhance the assessment impact of mental health of the students, this study uses an intelligent fuzzy system as the regulation center and offers an assessment method based on an improved fuzzy neural network to assess the impact of music instruction in boosting mental health of the students. When compared to standard ways, the system developed in this work has a better effect, according to the empirical research findings.
Narrowing of the far field in spatially modulated edge-emitting broad area semiconductor amplifiers

We perform a detailed theoretical analysis of the far field narrowing in broad-area edgeemitting semiconductor amplifiers that are electrically injected through the contacts periodically modulated in both, longitudinal and transverse, directions. The beam propagation properties within the semiconductor amplifier are explored by a (1+2)-dimensional traveling wave model and its coupled mode approximation. Assuming a weak field regime, we analyze the impact of different parameters and modulation geometry on the narrowing of the principal far field component.
A Computational Analysis of Wind Turbine and Wind Farm Aerodynamics with a Focus on Dual Rotor Wind Turbines

This dissertation serves to summarize my research into wind farm and wind turbine aerodynamics. Included in this thesis is a summary of the methods I use as well as the four research problems that I investigated. Motivation is provided for my research as well as an overview of the computational methods that I use. These methods include analytical methods such as blade element momentum (BEM) theory and the vortex lattice method as well as computational fluid dynamic methods like the Reynolds averaged Navier-Stokes (RANS) equations and large eddy simulation (LES). These methods are used to investigate wind turbine and wind farm aerodynamics. In particular, I use these methods to confront the various forms of loss that wind turbines and wind farms experience. They include the losses that individual turbines experience due to swirl, induction, and viscosity as well as the loss that wind farms experience due to turbine-wake interaction. Horizontal axis wind turbines (HAWTs) suffer from aerodynamic ineffciencies in the blade root region (near the hub) due to several non-aerodynamic constraints. Aerodynamic interactions between turbines in a wind farm also lead to signifcant loss of wind farm efficiency. A new dual-rotor wind turbine (DRWT) concept is proposed that aims at mitigating these two losses. A DRWT is designed that uses an existing turbine rotor for the main rotor, while the secondary rotor is designed using a high lift-to-drag ratio airfoil. Reynolds Averaged NavierStokes computational fluid dynamics simulations are used to optimize the design. Large eddy simulations confirm the increase energy capture potential of the DRWT. Wake comparisons however do not show enhanced entrainment of axial momentum. I extend the prescribed wake vortex lattice method (VLM) to perform aerodynamic analysis and optimization of dual-rotor wind turbines. The additional vortex system introduced by the secondary rotor of a DRWT is modeled while taking into account the singularities that occur when the trailing vortices from the secondary (upstream) rotor interact with the bound vortices
Impact of Cerebral Amyloid Angiopathy in Two Transgenic Mouse Models of Cerebral β-Amyloidosis: A Neuropathological Study

The pathological accumulation of parenchymal and vascular amyloid-beta (Aβ) are the main hallmarks of Alzheimer’s disease (AD) and Cerebral Amyloid Angiopathy (CAA), respectively. Emerging evidence raises an important contribution of vascular dysfunction in AD pathology that could partially explain the failure of anti-Aβ therapies in this field. Transgenic mice models of cerebral β-amyloidosis are essential to a better understanding of the mechanisms underlying amyloid accumulation in the cerebrovasculature and its interactions with neuritic plaque deposition. Here, our main objective was to evaluate the progression of both parenchymal and vascular deposition in APP23 and 5xFAD transgenic mice in relation to age and sex. We first showed a significant age-dependent accumulation of extracellular Aβ deposits in both transgenic models, with a greater increase in APP23 females. We confirmed that CAA pathology was more prominent in the APP23 mice, demonstrating a higher progression of Aβ-positive vessels with age, but not linked to sex, and detecting a pronounced burden of cerebral microbleeds (cMBs) by magnetic resonance imaging (MRI). In contrast, 5xFAD mice did not present CAA, as shown by the negligible Aβ presence in cerebral vessels and the occurrence of occasional cMBs comparable to WT mice. In conclusion, the APP23 mouse model is an interesting tool to study the overlap between vascular and parenchymal Aβ deposition and to evaluate future disease-modifying therapy before its translation to the clinic.
Reentry Maneuvering Trajectory Design of TBM on Attacking Natural Defence Target

The mathematical model of reentry maneuvering trajectory is established. The fitting expression of aerodynamic coefficient function on velocity, attack of angle and altitude is presented. The results show that the mathematical model is correct, the method of calculation is feasible. The natural defence target can be effectively attacked, the attacking efficiency and penetrating capability of TBM can be improved by utilization of the reentry maneuvering trajectory technic.
Direct and indirect effects of fire on microbial communities in a pyrodiverse dry‐sclerophyll forest

Fire is one of the predominant drivers of the structural and functional dynamics of forest ecosystems. In recent years, novel fire regimes have posed a major challenge to the management of pyrodiverse forests. While previous research efforts have focused on quantifying the impacts of fire on above‐ground forest biodiversity, how microbial communities respond to fire is less understood, despite their functional significance. Here, we describe the effects of time since fire, fire frequency and their interaction on soil and leaf litter fungal and bacterial communities from the pyrodiverse, Eucalyptus pilularis forests of south‐eastern Australia. Using structural equation models, we also elucidate how fire can influence these communities both directly and indirectly through biotic–abiotic interactions. Our results demonstrate that fire is a key driver of litter and soil bacterial and fungal communities, with effects most pronounced for soil fungal communities. Notably, recently burnt forest hosted lower abundances of symbiotic ectomycorrhizal fungi and Acidobacteria in the soil, and basidiomycetous fungi and Actinobacteriota in the litter. Compared with low fire frequencies, high fire frequency increased soil fungal plant pathogens, but reduced Actinobacteriota. The majority of fire effects on microbial communities were mediated by fire‐induced changes in litter and soil abiotic properties. For instance, recent and more frequent fire was associated with reduced soil sulphur, which led to an increase in soil fungal plant pathogens and saprotrophic fungi in these sites. Pathogenic fungi also increased in recently burnt forests that had a low fire frequency, mediated by a decline in litter carbon and an increase in soil pH in these sites. Synthesis. Our findings indicate that predicted increases in the frequency of fire may select for specific microbial communities directly and indirectly through ecological interactions, which may have functional implications for plants (increase in pathogens, decrease in symbionts), decomposition rates (declines in Actinobacteriota and Acidobacteriota) and carbon storage (decrease in ectomycorrhizal fungi). In the face of predicted shifts in wildfire regimes, which may exacerbate fire‐induced changes in microbial communities, adaptive fire management and monitoring is required to address the potential functional implications of fire‐altered microbial communities.
Emerging Role for 7T MRI and Metabolic Imaging for Pancreatic and Liver Cancer

Advances in magnet technologies have led to next generation 7T magnetic resonance scanners which can fit in the footprint and price point of conventional hospital scanners (1.5–3T). It is therefore worth asking if there is a role for 7T magnetic resonance imaging and spectroscopy for the treatment of solid tumor cancers. Herein, we survey the medical literature to evaluate the unmet clinical needs for patients with pancreatic and hepatic cancer, and the potential of ultra-high field proton imaging and phosphorus spectroscopy to fulfil those needs. We draw on clinical literature, preclinical data, nuclear magnetic resonance spectroscopic data of human derived samples, and the efforts to date with 7T imaging and phosphorus spectroscopy. At 7T, the imaging capabilities approach histological resolution. The spectral and spatial resolution enhancements at high field for phospholipid spectroscopy have the potential to reduce the number of exploratory surgeries due to tumor boundaries undefined at conventional field strengths. Phosphorus metabolic imaging at 7T magnetic field strength, is already a mainstay in preclinical models for molecular phenotyping, energetic status evaluation, dosimetry, and assessing treatment response for both pancreatic and liver cancers. Metabolic imaging of primary tumors and lymph nodes may provide powerful metrics to aid staging and treatment response. As tumor tissues contain extreme levels of phospholipid metabolites compared to the background signal, even spectroscopic volumes containing less than 50% tumor can be detected and/or monitored. Phosphorus spectroscopy allows non-invasive pH measurements, indicating hypoxia, as a predictor of patients likely to recur. We conclude that 7T multiparametric approaches that include metabolic imaging with phosphorus spectroscopy have the potential to meet the unmet needs of non-invasive location-specific treatment monitoring, lymph node staging, and the reduction in unnecessary surgeries for patients undergoing resections for pancreatic cancer. There is also potential for the use of 7T phosphorous spectra for the phenotyping of tumor subtypes and even early diagnosis (<2 mL). Whether or not 7T can be used for all patients within the next decade, the technology is likely to speed up the translation of new therapeutics.
MULTIOBJECTIVE DESIGN OF AUTOMOBILE COMPOSITE APPLICATIONS BASED ON FEASIBILITY ROBUSTNESS

In the proposed multi-objective optimization approach the weight and the determinant of the variance-covariance matrix of the response of composite structures used in automobile applications are considered as performance and robustness functions, respectively. The Pareto front is built using a modified version of previously proposed hierarchical genetic algorithm with co-evolution of populations here denoted by MOGA-2D.
IMPLEMENTASI POAC PADA PENERIMAAN PESERTA DIDIK BARU MASA PANDEMI COVID 19 DI SEKOLAH DASAR ISLAM TERPADU

Tujuan penelitian ini ialah untuk mengetahui bagaimana implementasi POAC pada penerimaan peserta didik baru masa pandemi covid 19. Penelitian ini merupakan penelitian kualitatif deskriptif dengan menggunakan teknik pengumpulan data dengan cara observasi, wawancara dan dokumentasi. Penelitian dilakukan di SDIT Ar Risalah Surakarta tahun pelajaran 2021/2022. Adapun yang menjadi subjek penelitian ialah Ketua PPDB dengan informan Kepala Sekolah dan Wali Calon Peserta Didik Baru. Hasil dari penelitian ini ialah: 1) Planning meliputi kegiatan penetapan kuota peserta didik baru tahun pelajaran 2021/2022, penetapan persyaratan yang harus dipenuhi oleh calon peserta didik baru, persiapan media sosialisasi PPBD secara online dan offline, persiapan sarana dan prasarana penunjang pelaksanaan PPDB, dan penyusunan rencana anggaran belanja kegiatan PPDB; 2) Organizing meliputi kegiatan pembentukan panitia PPDB, pembagian tugas masing-masing anggota panitia secara spesifik, pengaturan jadwal pendaftaran PPDB, penentuan waktu seleksi dan mengatur jadwal kerja masing-masing anggota panitia, dan penentuan waktu pengumunan hasil seleksi PPDB; 3) Actuating meliputi kegiatan sosialisasi PPDB secara online dan offline, pelaksanaan pendaftaran, proses seleksi, dan penyampaian hasil seleksi PPDB, datar ulang calon peserta didik baru, pengumuman penetapan peserta didik baru; 4) Controlling meliputi kegiatan pengawasan aktif (dekat) dan pasif. Pengawasan aktif dilakukan pada waktu dan tempat dilaksanakannya PPDB, sedangkan pengawasan pasif dilakukan dengan menganalisis laporan pertanggungjawaban (LPJ) pelaksanaan PPDB dari awal sampai akhir.
Latest Performance Improvement Strategies and Techniques Used in 5G Antenna Designing Technology, a Comprehensive Study

In the recent era, fifth-generation technology (5G) has not been fully implemented in the realm of wireless communication. To have excellent accessible bandwidth feasibility, and in order to achieve the aims of 5G standards, such as higher data rates and ultrahigh-definition video streaming, the millimeter wave (mmWave) band must be employed. Services with minimal latency and many other features are feasible only in the mmWave spectrum. To avoid numerous communication complexities such as high connection losses, short wavelength, and restricted bandwidth, as well as path-loss challenges in the mmWave range, an antenna with wide bandwidth, high gain, narrow steerable beam, high isolation, low side-lobe levels, and multiband features is required to alleviate these difficulties and meet 5G communication standards. To overcome these challenges, specific strategies and techniques should be employed in the traditional antenna designing procedure to excellently improve the performance of the antenna in terms of bandwidth, gain, and efficiency and to reduce the mutual coupling effect between the closely colocated antenna elements in MIMOs and arrays. The researchers reported on a variety of bandwidth and gain improvement approaches. To gain broader coverage, traditional antenna design techniques must be modified. In this study, the latest state-of-the-art work is reviewed, such as the role of the metamaterials (MMTs), parasitic patches, hybrid feeding, EBG structure, impact of the slots with different geometrical shapes in the radiator to achieve the goal of wide bandwidth, boosted gain, reduced side-lobes level, as well as stable radiation properties. Mutual coupling reduction techniques are also briefly reported. The role of reconfigurability is focused on in this study, and at the end, the future challenges in the field of antenna design and possible remedies to such issues are reviewed.