Miracle-dz/UniFAR-FTUs huggingface dataset:
Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System

This work discusses the use of a battery energy storage system applied to the smoothing of power generated at the output of wind turbines based on a fuzzy logic power control. The fuzzy control logic proposed can perform the aforementioned activity while the state of charge of the energy storage system is maintained within operational limits. In order to assess the fuzzy logic power control’s effectiveness at maintaining the state of charge levels within the allowed range, two operating situations are explored: one in which the state of charge is above the upper limit allowed, and another in which the state of charge is in the minimum value allowed. The numerical results show that, when using the battery energy storage system in conjunction with the control logic proposed, the active power provided as the point of common coupling by the wind turbines can be smoothed, thus contributing to the Electric Power System reliability and stability. The main results of this paper are based on measurements of wind and active power associated with a wind generation plant installed in the northeast region of Brazil and equipped with 2.1 MW wind turbines.
Resonant DC/DC Converters: Investigating Phase-Shift Control

The paper presents an innovative approach to control the voltage of an LCL-T type converter at the output side against variation at input and load ports, utilizing a fixed-frequency phase-shift control scheme. The examination of the converter is performed employing a Fourier series method that takes into account the effect of n-harmonics. To assure high-frequency switches with a zero-voltage switching (ZVS) technique, the lagging pf mode is utilized. PSIM simulations were used to investigate the performance of a 300 W converter. With the minimal input voltage, all switches turn on with ZVS for all loading conditions, whereas the ZVS strategy loses by two switches when the voltage at the input is highest. The power loss calculations of each component are performed and presented in a pie chart. The findings of the experiments are presented and verified with theoretical and simulation results. It is demonstrated that for both input voltage and load fluctuations, a minor adjustment in pulse width is sufficient to keep the output voltage constant.
EVALUATION OF PASSENGER ON ELECTRICAL RAILWAY SERVICES (CASE STUDY TANAH ABANG–SERPONG)

Abstract: Currently, Jakarta residents who choose private vehicles to conduct there activities, resulting in congestion every day and is the main problem in the capital city of Jakarta. The government of Jakarta is currently trying to move the use of private vehicles to public transport to reduce the volume traffic. This research discusses the evaluation of passenger satisfaction on KAI Commuter Line service of Tanah Abang - Serpong route, by using "importance performance analysis" method, then to analyzed Bivariate Correlation and Simple Linear Regression using SPSS program, with the sample number of 100 respondents. Based on the Linear Regression analysis done by the performance of officers has a significant relationship with the value of Pearson Correlation is 77.5%. Based on Cartesian diagram located in quadrant A, B, C and D obtained that service factors influence to increase passenger satisfaction received Ho. Keywords: Quality of service, KAI Commuter Line, Performance Importance Cartesian Diagram Analysis.
Enhancing surface features with the Radiance Scaling Meshlab Plugin

We present the new Radiance Scaling plugin for Meshlab. This rendering technique allows to depict shape through shading via the modification of light intensities around specific features. The major idea is to correlate the shading with surface feature variations in order to enhance shape details like concavities and convexities. The Radiance Scaling rendering technique works in real-time on modern graphics hardware. As a consequence, surface features can be inspected interactively. Recently, the Radiance Scaling technique has received major interest in the French Archaeology research community, in particular for enhancing details in carved stones and thus improving their legibility.
Scale interactions in high-latitude ecosystems

Surface processes occur in various ecosystems and landscapes and at multiple spatial and temporal scales. Because of their small-scale, surface heterogeneities are often not represented or poorly parameterized in climate models. These local soil and vegetation heterogeneities are often important or even fundamental for energy and carbon balances. This is of particular interest in high-latitude ecosystems, because of the large amount of carbon stored in the soil of northern peatlands. Greenhouse gas fluxes, such as methane, carbon dioxide and water vapor, vary largely within the environment, also as an effect of the small-scale processes that characterize the landscape. Therefore, a characterization of the effects of such small-scale features on high-latitude environments is needed in order to consistently assess the water, carbon, and energy balance of these landscapes. As a first example, I considered permafrost dominated landscapes in the Arctic lowlands, such as the polygonal tundra. These landscapes display characteristic smallscale features generated by contraction and expansion of water by freezing and melting cycles. These small-scale surface heterogeneities may deeply affect the hydrology in this environment. In the first part of my thesis I present a stochastic model for the surface topography of low center polygonal tundra using Poisson-Voronoi diagrams and I compare the results with available recent field studies. I analyze seasonal dynamics of water table variations and the landscape response under different scenarios of precipitation income. Using an idealized model for methane emissions, I can upscale methane fluxes at the landscape level. Hydraulic interconnections and large-scale drainage may also be investigated through percolation thresholds of the model. The model is able to reproduce the statistical characteristics of the landscape, from the area distribution to the water balance. This novel approach statistically relates large-scale properties of the system to the main small-scale surface heterogeneities, which are generally neglected in large-scale models. In order to generalize the findings from the stochastic model, in the second part of my thesis I present a surface model for small-scale surface heterogeneities in boreal peatlands. Water table depth and dynamics are in turn regulated by the peatland micro-topography, i. e. the elevated and drier hummocks, and the lower and wetter hollows. A classical mean field approximation of a single bucket model may not be adequate to describe land-atmosphere interactions in northern peatlands. I can assess the potential effects of the representation of small-scale surface heterogeneities on greenhouse gas fluxes by coupling this fine scale model with a process based model for methane emissions. By partitioning of space in smaller subunits and then by analyz-
Language Decline and Death in Africa: Causes, Consequences and Challenges

Preface 1: The languages of Africa 2: Patterns of language use in Africa 3: African languages as a resource 4: The minority languages of Africa 5: The endangered languages of Africa 6: Language shift and death in Africa 7: Language maintenance 8: Language empowerment measuresReferences/ Index/ Appendix
Substratum‐Associated Microbiota

This survey of literature on substratum associated microbiota from 2015 highlights research findings associated with benthic algae and bacteria from a variety of aquatic environments, but primarily freshwaters. It focuses on topics of interest to the Water Environment Federation along with those of current emerging interest such as global change, oil spills, and environmental contaminants like pharmaceutical compounds, microplastics, nanoparticles and organic pollutants. Other interesting findings briefly covered include areas of general ecology, nutrient cycling, trophic interactions, water quality, nuisance and invasive species, bioindicators, and bioremediation.
Precision Viticulture: Managing vineyard variability for improved quality outcomes

Abstract: Vineyards are variable. In spite of this, conventional approaches to winegrape production infer that the optimal practice is to apply uniform management strategies in vineyards on the assumption of homogeneity. The availability of a suite of technologies, which have collectively become known as Precision Viticulture, provides grapegrowers and winemakers with the means to move away from this ‘one-size-fits all’ approach. Instead, management may be targeted within vineyards according to variation in their inherent characteristics and particular goals in terms of grape yield and quality. Thus, better patches can be exploited whilst weaker areas may be improved. This chapter provides a summary and review of recent research into vineyard variability and the development and adoption of Precision Viticulture. A particular feature of this work has been its focus on improved fruit quality and wine flavour and aroma outcomes.
Unraveling the Molecular Mechanisms of Tomatoes’ Defense against Botrytis cinerea: Insights from Transcriptome Analysis of Micro-Tom and Regular Tomato Varieties

Botrytis cinerea is a devastating fungal pathogen that causes severe economic losses in global tomato cultivation. Understanding the molecular mechanisms driving tomatoes’ response to this pathogen is crucial for developing effective strategies to counter it. Although the Micro-Tom (MT) cultivar has been used as a model, its stage-specific response to B. cinerea remains poorly understood. In this study, we examined the response of the MT and Ailsa Craig (AC) cultivars to B. cinerea at different time points (12–48 h post-infection (hpi)). Our results indicated that MT exhibited a stronger resistant phenotype at 18–24 hpi but became more susceptible to B. cinerea later (26–48 hpi) compared to AC. Transcriptome analysis revealed differential gene expression between MT at 24 hpi and AC at 22 hpi, with MT showing a greater number of differentially expressed genes (DEGs). Pathway and functional annotation analysis revealed significant differential gene expression in processes related to metabolism, biological regulation, detoxification, photosynthesis, and carbon metabolism, as well as some immune system-related genes. MT demonstrated an increased reliance on Ca2+ pathway-related proteins, such as CNGCs, CDPKs, and CaMCMLs, to resist B. cinerea invasion. B. cinerea infection induced the activation of PTI, ETI, and SA signaling pathways, involving the modulation of various genes such as FLS2, BAK1, CERK1, RPM, SGT1, and EDS1. Furthermore, transcription factors such as WRKY, MYB, NAC, and AUX/IAA families played crucial regulatory roles in tomatoes’ defense against B. cinerea. These findings provide valuable insights into the molecular mechanisms underlying tomatoes’ defense against B. cinerea and offer potential strategies to enhance plant resistance.
Information and communication technologies in tourism 2004 : proceedings of the International Conference in Cairo, Egypt, 2004

Keynote * Mobile Systems and Services I * Mobile Systems and Services II * Mobile Systems and Services III * Consumer Issues I * Consumer Issues II * Consumer Issues III * Travel and Planning I * Travel and Planning II * Travel and Planning III * Destination Systems I * Destination Systems II * Destination Systems III * Trust * ICT, Structures and Communities * Hotel Systems and Issues * Marketing and Markets * Electronic Distribution and Management * eLearning * Metrics and Evaluation
The lives of Sri Aurobindo

List of IllustrationsPrefaceAcknowledgmentsNote on Proper NamesPart One: Son1. Early Years in India: Bengal, 1872-1879Part Two: Scholar2. Growing up English: England, 1879-18933. Encountering India: Baroda, 1893-1910Part Three: Revolutionary4. Into the Fray: Calcutta, 1906-19085. In Jail and After: Bengal, 1908-1910Part Four: Yogi and Philosopher6. A Laboratory Experiment: Pondicherry, 1910-19157. The Major Works: Pondicherry, 1914-1920Part Five: Guide8. The Ascent to Supermind: Pondicherry, 1915-19269. An Active Retirement: Pondicherry, 1927-1950EpilogueNotesBibliographyIndex
Operators and comparisons of probabilistic linguistic term sets

The probabilistic linguistic term sets (PLTSs) allow experts to express their preferences regarding one linguistic term over another. Nowadays, multicriteria decision‐making methods for PLTSs are very popular, and Bai et al’s multicriteria decision‐making method based on the possibility degree formula for PLTSs cannot be ranked in some situations. In this paper, we first propose a new possibility degree method for PLTSs and state their properties, and we use this new possibility degree method to solve the drawbacks of Bai et al’s possibility degree method. Second, we propose a probabilistic linguistic weight average (PLWA) and probabilistic linguistic order weight average (PLOWA) operator and state their properties. Then, based on the new possibility degree method and the PLWA (PLOWA) operator, we propose a multicriteria decision‐making method based the PLWA (PLOWA) operator. Finally, we utilize an example to illustrate the interrelationships between our method and Bai et al’s method. The result shows that our multicriteria decision‐making method is more rational.
Genome-Wide Identification Reveals That BZR1 Family Transcription Factors Involved in Hormones and Abiotic Stresses Response of Lotus (Nelumbo)

The brassinazole-resistant (BZR) transcription factors (TFs) are key components of brassinosteroid (BR) signaling, which play an important role in regulating plant growth and development as well as responding to abiotic stress. However, a functional study of BZR transcription factors in lotuses has not been reported. A total 10 BZR1 genes (four NnBZR1 and six NlBZR1) were identified from the genomes of two lotus species (Nelumbo nucifera and Nelumbo lutea). The construction of the phylogenetic tree showed that the 10 BZR1 genes of the lotus were divided into four groups; the NnBZR1s and NlBZR1s were unevenly distributed on three and four chromosomes, respectively. Gene structure analysis showed that motif 1 and motif 9 are highly conserved in the lotus BZR1 protein, which might be related to the conserved domain BES_N of BZR1. The analysis of promoter cis-acting elements showed that the promoters of most of the BZR1 genes in the lotus contained elements related to light-responsive, ABA-responsive and abiotic stress-responsive factors, indicating that the BZR1 gene of the lotus played an important role in its response to abiotic stress. The responses of BZR1 genes to BR, ABA and four abiotic stresses (Cold, PEG6000, Cd and NaCl) were analyzed by qRT-PCR. The qRT-PCR results further verified that the lotus BZR1 genes play an important role in responding to hormone signals and resisting abiotic stress. This study laid the foundation for further research on the function of lotus BZR1 genes and provided a theoretical basis for future breeding and horticultural applications.
A pilot, longitudinal, 24-week study to evaluate the effect of interferon beta-1a subcutaneous on changes in susceptibility-weighted imaging-filtered phase assessment of lesions and subcortical deep-gray matter in relapsing–remitting multiple sclerosis

Background: Studies have shown a relationship between increased iron content and clinical progression, cognitive impairment, and brain atrophy in patients with multiple sclerosis. Altered phase, as determined by susceptibility-weighted imaging (SWI), can potentially capture iron content changes. Objective: The objective of this study was to investigate phase changes in white matter (WM) lesions and subcortical deep-gray matter (SDGM) of patients with relapsing–remitting (RR) MS treated with interferon beta-1a administered subcutaneously versus untreated healthy controls (HCs). Methods: We conducted a 24-week, nonrandomized, open-label pilot study of 23 patients with RRMS receiving interferon beta-1a administered subcutaneously and 15 HCs. Patients were imaged on a 3T scanner at baseline, 12, and 24 weeks; changes in phase behavior in WM lesions and regional SDGM [mean phase of low-phase voxels (MP-LPV)], and in SDGM volumes, were measured. Between- and within-group changes were tested using nonparametric statistics adjusted for multiple comparisons. Results: The number (p = 0.003) and volume (p < 0.001) of phase WM lesions both significantly decreased among RRMS patients over 24 weeks. At baseline, MP-LPV was lower (suggestive of greater iron content) in total SDGM among RRMS patients versus HCs (p = 0.002). Week 24 MP-LPV changes from baseline were not significantly different between groups in total SDGM or any region except the putamen (−0.0025 radians in RRMS patients versus 0.0035 radians in HCs; p = 0.041). Conclusions: Over 24 weeks, phase lesions were reduced significantly in the RRMS group. These preliminary results suggest that SWI-filtered phase may become a useful tool for monitoring RRMS disease activity.
Anti-citrullinated protein antibodies (ACPA) in early rheumatoid arthritis

Autoantibodies with the highest specificity for rheumatoid arthritis (RA) are the antibodies directed to citrulline-containing epitopes, so-called anti-citrullinated peptide/protein antibodies (ACPA). During the past decade it became clear that the presence of these antibodies was highly predictive of and specific for RA, and illustrating the importance of ACPA. Therefore, the presence of these antibodies is one of the new American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) 2010 criteria for RA. Apart from the presence of these antibodies, the composition of this antibody response matures during RA development. This review summarizes the current knowledge of the characteristics of ACPA in RA development.
Linguistic Balkanization: Contact-Induced Change By Mutual Reinforcement

The Balkan Sprachbund was the first linguistic area discovered by modern scholarship. According to Kopitar's (1829: 86) famous statement about Albanian, Wallachian, and Bulgarian (in modern terms: Albanian, Balkan Romance, and Balkan Slavic), in the Balkans "nur eine Sprach/orm herrscht, aber mit dreyerley Sprach/wtftene". The main features of the Sprachbund were described in Sandfeld's (1926, 1930) masterpiece and subsequent research by others (see Schaller 1975, Solta 1980, Asenova 1989). But we still lack an overall description of the historical development of this linguistic area. Especially the question of the origins and causation of the main areal features of the Balkans, the linguistic Balkanisms, is notoriously difficult. In this paper I shall discuss the typological characteristics of grammatical Balkanisms, as well as the nature of the sociolinguistic contact situation which gave rise to the convergence that can be observed among the languages of the area. I shall argue that the origins of most grammatical Balkanisms are not to be sought in the internal development of any one of these languages, but rather in the multilingual contact situation itself, to the extent that the traditional notions of "source language" and "target language" may not always be applicable. The languages or language groups of the Sprachbund are Albanian, Greek, Balkan Romance, Balkan Slavic, and Balkan Romani. Balkan Romance comprises the (Daco-)Romanian language spoken in Romania and Moldova, as well as Aromanian (Arumanian) and Megleno-Romanian spoken in the Central Balkans. Balkan Slavic means Bulgarian, Macedonian, and the so-called Torlak dialects of Serbian; Muslim speakers of Bulgarian and Macedonian are ofted referred to as Pomaks. Balkan Romani should be understood as an areal term comprising both Balkan dialects proper and those Vlax dialects spoken in the Balkan area. In addition to these five language groups, Ladino (Judezmo) and various forms of Balkan Turkic (such as Rumelian Turkish and Gagauz) have adopted some areal features; I will have to take them into account at a later stage of exploration.
Precipitation Parameterization in a Simulated Mei-Yu Front

Observational and numerical studies have consistently shown the importance of latent heat release associated with frontal precipitation in the development of a Mei-Yu front. However, a systematic evaluation of precipitation parameterization in the simulation of a Mei-Yu front has been rare in the literature. In order to enhance our understanding on precipitation parameterization of Mei-Yu fronts, this study conducts numerical experiments to evaluate the performance of subgrid-scale cumulus schemes and resolvable-scale microphysics schemes to simulate the Mei-Yu frontal system on 4-5 June 1998 at grid resolutions of 45 km and 15 km, using the Penn State/NCAR mesoscale model MM5. Principal findings are summarized here. The horizontal extent and intensity of precipitation, the partitioning off precipitation into grid-resolvable and subgrid-scale portions, the vertical thermodynamic profile in the precipitation region and the embedded mesoscale structure are extremely sensitive to the choice of cumulus parameterization schemes. This is true for both the 45- and 15-km grids. The partitioning of precipitation into subgrid scale and resolvable scale is sensitive to the particular cumulus parameterization that is used in the model, but it is nearly the same on both the 4S- and IS-km grids for a given cumulus parameterization. The detailed ice-phase microphysical processes do not have a significant impact on the rainfall pattern on either the 45- and 15-km grids. However, the inclusion of cloud ice-snow-graupel microphysical processes increases the total surface precipitation amount by 30% compared to the amount with only warm raid processes. Variations in the subgrid-scale cumulus parameterization have a much larger impact on the distribution and amount of Mei-Yu frontal precipitation than do variations in the resolvable-scale microphysics parameterization at mesoscale grid resolutions of 10-50 km.
Studies of dose distribution to Lung and Stomach and Estimation of Second Cancer Risk due to Outfeld Dose in Radiotherapy with 60Co Teletherapy Beam

A critical component of the radiation regimen for treating cancer patients is the precise dose delivery to the treatment organ while minimizing the dose to the healthy tissue. This study aims to evaluate in-field organ dose and dose distribution outside the target organs to estimate the excess lifetime risk of second cancer. The study was carried out with a male Alderson Rando Phantom. 20 sets of thermoluminescence dosimeters (MTS-100) were used in this study. The in-field organs absorbed dose was measured by inserting TLDs at different geometrical depths of the left lung, right lung, and stomach, and for peripheral organs skin dose TLDs were placed at the surface of the corresponding organs. Target organs were irradiated at 100 cGy and 200 cGy by a 60Co teletherapy unit, and irradiated TLDs were read out by a RE-2000 TLD reader. For precise dose delivery to the cancerous organs by 60Co teletherapy, the depth dose correction factor for lung cancer treatment is 0.8667 ± 0.01, and for the stomach is 0.7856 ± 0.017. In the case of the treatment for the lung and stomach, the closest organs received significant doses compared to the other distant organs. Thus, the risk of second cancer due to the peripheral dose is obtained. The stomach is at the highest risk when the lung is the target and the liver is at the highest risk when the stomach is the targeted organ.