Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF SERVICE QUALITY AND FACILITIES ON CUSTOMER SATISFACTION IN SOEKARNO-HATTA INTERNATIONAL AIRPORT CHECK-IN AT NEW NORMAL ERA IN 2020

This research was conducted to determine the effect of service quality and facilities on customer satisfaction in Soekarno-Hatta International Airport Check-In at New Normal Era in 2020.This study used quantitative method from samples of 379 respondents. Data were collected in the form of questionnaires with Likert scale model that has been tested. Technical Analysis of the research using analysis validity, reliability. While testing the hypothesis using multiple linear regression analysis.The results show that the quality of service and facilities had a positive influence on customer satisfaction. This conclusion was obtained from the t-test results of 11,227 for service quality and 5,483 facilities > from the t -table value of 1. 966 with a significance value of 0,000 < 0.05 on Customer Satisfaction.
A Multi-objective Approach to Integrating Agricultural Economic and Environmental Policies

Agricultural nonpoint source pollution of soil and water resources is a major societal concern. Because of unabated NPS pollution, and despite more than a decade of policy, research and intervention, the relationship between agricultural production and environmental performance is still the subject of ongoing debate. Invariably, the environmental objectives conflict with one another and the policy choices involve significant trade-offs. The trade-off between soil erosion and water quality is a typical example of this contradiction. This paper describes a theory and conceptual framework for integrated agricultural economic and environmental modelling using a multicriteria decision-making approach grounded in multi-attribute utility theory. The empirical analysis and policy exercise evaluates policy trade-offs using a watershed-based model. The intent is to develop and implement a framework for policy analysis that provides for a better understanding of why some environmental problems persist despite evolving policies, technologies and market incentives. The multi-objective decision-making model is empirically verified for a specific eastern Iowa watershed. Two key results stand out from empirical analysis. There is a significant trade-off between economic and environmental goals, and even between environmental goals; therefore, a comprehensive analysis with reasonable compromise will give an ideal solution. Incorporating environmental objectives encouraged more environmentally sound cropping practices. In particular, environmentally sustainable crop rotation practices such as corn-soybeans-hay/oats was chosen more frequently by the model.
Preparation and Characterization of Activated Carbon Obtained from Water Treatment Plant Sludge for Removal of Cationic Dye from Wastewater

The proposal of this work was the preparation and characterization of activated carbons obtained from water treatment plant sludge (WTS) to apply as adsorbents in the removal of organic dye contaminants from wastewater. The activated carbons were produced with a combination of chemical activation and pyrolysis processes. The textural characteristics of both adsorbents presented a satisfactory superficial area and mesoporous structure. The presence of phenolic and carboxylic groups in the surface indicated a better adsorption of cationic adsorbates. When applied as adsorbents in the removal of methylene blue (MB) from wastewater, the maximum removal values obtained were up to 96%. The adsorption results showed that the adsorption was faster in the beginning and reached maximum around 30 min. The Elovich kinetic model and the Sips isotherm model presented the best fit to experimental data, which was checked by analysis of variance (ANOVA). The production of activated carbons from WTS is a sustainable and effective option in the removal of MB dye.
BIOGAS YIELD AND PRODUCTIVENESS OF SWINE MANURE FOR DIFFERENT REACTOR CONFIGURATIONS

The progression of the organic loading rate (OLR) up to a certain limit increases biogas production. The limit and operation range vary according to the configuration of the reactor and are associated with other variables that generate different results with respect to biogas yield (BY) and biogas productiveness (BP). The aim of this study was to investigate the effect of the OLR on the BY and BP from swine manure in continuous stirred tank reactors (CSTRs) and upflow anaerobic sludge blanket reactors (UASBs). In the assay with the CSTR, the best operational condition was at an OLR of 0.7 gVS add L reactor d and a hydraulic retention time (HRT) of 18 days. At this operational condition, 0.8 LN biogas gVS add of BY and 0.6 LN biogas L reactor d of BP were obtained. In the assay with the UASB, the best operational condition was at an OLR of 2.2 gVS add L reactor d and an HRT of two days, and 0.7 LN biogas gvs add of BY and 1.6 LN biogas L reactor d of BP were obtained. The results demonstrate the effects of OLR changes on the biogas production in the CSTR and UASB, avoiding the underutilization or overloading of such equipment and enabling collaboration in projects for power generation from biogas in swine farms.
Dynamic Characteristics of the Interconnections Urging the Construction Enterprises Development and Regions Economic Growth

The proposed modelling of the construction sector and its impact on the economic system of Ukraine based on fuzzy logic methods allowed to optimize the value of industry components due to changes in gross regional product. High adaptability of the used models confirms probability to make a choice of the best strategy of development of the state taking into account the construction potential in particular regions in Ukraine. The scientific value of the research lies in the use of dynamic models of the system to study the relationships of the elements of the micro and mezolevel subsystems. The forecast models reflect the value of the state regulatory policy in developing strategic priorities for economic growth.
Genetic variation and genetic structure within metapopulations of two closely related selfing and outcrossing Zingiber species (Zingiberaceae)

Abstract Habitat fragmentation strongly affects the genetic diversity of plant populations, and this has always attracted much research interest. Although numerous studies have investigated the effects of habitat fragmentation on the genetic diversity of plant populations, fewer studies have compared species with contrasting breeding systems while accounting for phylogenetic distance. Here, we compare the levels of genetic diversity and differentiation within and among subpopulations in metapopulations (at fine-scale level) of two closely related Zingiber species, selfing Zingiber corallinum and outcrossing Zingiber nudicarpum. Comparisons of the genetic structure of species from unrelated taxa may be confounded by the effects of correlated ecological traits or/and phylogeny. Thus, we possibly reveal the differences in genetic diversity and spatial distribution of genetic variation within metapopulations that relate to mating systems. Compared to outcrossing Z. nudicarpum, the subpopulation genetic diversity in selfing Z. corallinum was significantly lower, but the metapopulation genetic diversity was not different. Most genetic variation resided among subpopulations in selfing Z. corallinum metapopulations, while a significant portion of variation resided either within or among subpopulations in outcrossing Z. nudicarpum, depending on whether the degree of subpopulation isolation surpasses the dispersal ability of pollen and seed. A stronger spatial genetic structure appeared within subpopulations of selfing Z. corallinum potentially due to restricted pollen flow and seed dispersal. In contrast, a weaker genetic structure was apparent in subpopulations of outcrossing Z. nudicarpum most likely caused by extensive pollen movement. Our study shows that high genetic variation can be maintained within metapopulations of selfing Zingiber species, due to increased genetic differentiation intensified primarily by the stochastic force of genetic drift among subpopulations. Therefore, maintenance of natural variability among subpopulations in fragmented areas is key to conserve the full range of genetic diversity of selfing Zingiber species. For outcrossing Zingiber species, maintenance of large populations is an important factor to enhance genetic diversity. Compared to outcrossing Z. nudicarpum, the subpopulation genetic diversity in selfing Z. corallinum was significantly lower, but the metapopulation genetic diversity did not differ. Most genetic variation resided among subpopulations in selfing Z. corallinum metapopulations, while a significant portion of variation resided either within or among subpopulations in outcrossing Z. nudicarpum, depending on whether the degree of subpopulation isolation surpasses the dispersal ability of pollen and seed. Our study shows that selfing Z. corallinum could maintain high genetic diversity through differentiation intensified primarily by the stochastic force of genetic drift among subpopulations at fine-scale level, but not local adaptation.
Methodology of Assessing Strength of Metal Structure Elements with Cracks

Technological defects such as cracks can exist in the elements of metal structures, or cracks can appear during operation. Calculation of crack resistance, supplementing usual calculation of strength, is designed to protect such a structure from premature failure due to the unstable development of the crack. The crack resistance parameter can vary both due to increasing stress and due to increasing the length of the crack. These two factors are interrelated, therefore, usual strength calculation does not give a real estimate of strength, an actual safety factor is lower than that in usual calculation. Therefore, it is proposed alongside with the safety factor for strength to introduce a safety factor for the crack length. In the work, in general form there were obtained relations for reasonable selection of the safety factor for the crack length. For frequently used fracture criteria, dependences were derived for selecting the safety factor for the crack length. The dependences are also given for determining the breaking stress corresponding to the existing crack and the critical length of the crack under existing stresses for various fracture criteria. Based on the results obtained, there was obtained a method of analyzing strength of structural elements with cracks, which allowed determining the permissible crack length and the actual safety factor of structures. The results are of great importance with viscous and mixed fracture, where the criteria of nonlinear fracture mechanics are used.
Incidental Otolaryngologic Pathology Noted Upon Esophagogastroduodenoscopy: Case Series and Review of Literature

Objectives: We report and analyze eight cases in which patients were referred from gastroenterology (GI) to otolaryngology following esophagogastroduodenoscopy (EGD). We aim to provide specific examples of head and neck pathology encountered by gastroenterologists during upper endoscopy. Methods: A series of eight cases between 2016 and 2019 were analyzed by chart review. In each case, otolaryngology consultation was requested after an abnormality was noticed by a gastroenterologist during EGD. Subsequent laryngoscopy or bronchoscopy was performed in all cases allowing for image comparison. Select images comparing EGD to laryngoscopy findings are included as well as a literature review concerning the nature of communication between the two specialties. Results: Eight adult patients were referred to otolaryngology for abnormalities noted by a gastroenterologist during EGD at the following anatomic sites: soft palate (n=1), base of tongue (n=2), glottis (n=3), and interarytenoid mucosa (n=1). Additionally, a potential airway foreign body was noted on EGD which was ultimately determined to represent normal subglottic anatomy by bronchoscopy. Some 5/8 (63%) cases were considered true pathology while 3/8 (37%) represented normal anatomy or anatomic variants upon subsequent otolaryngologic evaluation. Conclusions: There is minimal literature regarding the nature of referrals from GI to otolaryngology following EGD. Our findings suggest that EGD offers a unique opportunity for early detection of otolaryngologic pathology. However, certain inter-specialty anatomic knowledge gaps were noted which contributed to occasional unnecessary referrals, procedures, and associated patient anxiety. We hope that the results of this study can inform future research aimed at improving communication and collaboration between the two specialties.
The Role of Nanochitosan on the Expression of Rice Resistance Genes against Bacterial Leaf Blight

Bacterial leaf blight (BLB) caused by Xanthomonas oryzae pv. oryzae ( Xoo ) has been reported to cause ±20-50% of rice yield loss around the world. Resistant varieties are used to control this disease, however due to rapid evolution of this pathogen, the resistances was broken down in a few years. This study is aimed to determine the role of nanochitosan in the expression of rice Xa21 and Xa1 resistant genes against Xoo . The BLB susceptible rice cultivar IR64, the Xoo isolate MAG2 and a 0.065% concentration of nanochitosan were used in this experiment. Application of nanochitosan was carried out within 1-week intervals starting at rice aged 2 - 10 weeks after transplanting. The expression of Xa21 and Xa1 genes against Xoo were analyzed using conventional PCR and qPCR methods at 0 and 4 days after Xoo inoculation followed by 4x scoring of disease symptoms in 1-week interval. The treatments used in this study included the mock one/inoculated with sterile distilled water, K (+)/ plants inoculated with Xoo, CNP (-)/ with nanochitosan and sterile distilled water inoculation, and CNP (+)/ with nanochitosan and Xoo inoculation. The results showed that the 0.0065% concentration nanochitosan application was able to increase the expression of Xa21 and Xa1 genes on CNP (-). Disease intensity and AUDPC values did not show any significant difference between K (+) and CNP (+). This study concluded that nanochitosan at 0.065% was able to increase the expression of rice Xa21 and Xa1 resistance genes. However, the gene expression was not able to significantly suppress the infection development of Xoo .
Bimodal Photoluminescence during the Growth of PbS Quantum Dots

We examine the effect of reaction time, temperature, molar ratio of precursors, capping ligands, and aging on the growth of PbS quantum dots in a “nonviscous”, solventless, mild-constant-temperature system with PbCl2 and S as precursors. It is found in our system that Ostwald ripening leads to bimodal photoluminescence corresponding to the bimodal size distribution of PbS quantum dots, as evidenced by transmission electron microscopy, in contrast to commonly reported single-peak broadening due to Ostwald ripening. The evolution of photoluminescence spectra mediated by Ostwald ripening is strongly affected by reaction parameters. Under certain conditions, the photoluminescence band exhibits some initial broadening upon the action of Ostwald ripening and then gradually transforms into a bimodal structure. In other cases, bimodal peaks rapidly appear as early as 1 min after the reaction starts. Moreover, it is found that the addition of an additional ligand trioctylphosphine immediately initiates the bimodal.
Biosynthesis of Silver Nanoparticles: Minireview

In principle, nanoscience focus on the understanding of the structure, physical and chemical properties of nano size objects. Nanoscience and nanotechnology are both recent and active ongoing branch of science includes multi interdisciplinary sciences. On the other hand, nanotechnology considered as the invested outcomes of the obtained fundamental knowledge about nano objects in various commercial, industrial, environmental and medical sectors. All nano scale matters regardless of their nature referred to as nano-objects were the prefix ‘nano’ mean one millionth of millimeter size. Due to their nano size and high surface area, metal nanoparticles exhibits unique and novel physical and chemical properties compared to their macro scale counterparts. They are considered as very interesting and popular antimicrobial agent with wide spectrum activity against the variety of pathogenic bacteria and fungi. Three main methods were routinely used for metal nanoparticles formation that are chemical, physical and biological approaches. As eco-friendly, cheap and safe synthesis approach without the use of toxic chemicals and free of resulted hazardous byproducts several extracellular and intracellular biological methods using bacteria, fungi, plants or their extracts were reported that known collectively as green nanotechnology
USRT: A Solar Radiative Transfer Model Dedicated to Estimating Urban 3D Surface Reflectance

Urban 3D surface reflectance is a critical parameter for the modeling of surface biophysical processes. It is of great significance to enhance the accuracy of reflectance in urban areas. Based on the urban solar radiative transfer (USRT) model, this study presents a methodology for estimating urban reflectance using the sky view factor (SVF) derived from airborne LiDAR data. Then, the USRT model was used to retrieve urban 3D surface reflectance from Landsat 8 data over the typical area of Beijing. The reflectance from USRT model was compared with the estimated value obtained from the model without considering the impact of morphological characteristics of the urban underlying surface (flat model). The results showed that the urban sample reflectance estimated by the USRT model was close to the sample reflectance of the suburban underlying surface which was less affected by morphological characteristics. The research summaries are as follows: (1) The definite physical meaning is presented in the USRT model, and can be applied to estimate the physical parameters of the urban underlying surface. (2) The reflectance from the USRT model is slightly larger than the reflectance derived from the flat model, which indicates that the accuracy of urban 3D surface reflectance is improved by the USRT model. (3) The effects of the SVF and building reflectance are different. The SVF presents a strong sensitivity to the estimation of the urban 3D surface reflectance, and the variations of building reflectance setting have little impact on urban reflectance, which is characterized by low sensitivity. Generally, the methodology of estimating urban reflectance proposed in this study can better clarify the impact mechanism of urban geometry on the radiative transfer processes and further promote the application and development of urban quantitative remote sensing.
Physicochemical Speciation of Trace Elements in River Water by Means of Ultrafiltration

Ultrafiltration and Millipore filtration techniques have been used in the speciation of trace elements in Tama River water. The size distribution was clarified for 32 elements by means of neutron-activation analysis in order to discuss their chemical or physical forms. Alkali and alkaline-earth elements were primarily found in the dissolved-size fraction ( 0.45 μm) in the upper reaches of the river, but in the lower reaches they were chiefly fractionated as the dissolved species, with the exception of Sc and Fe. The dissolved V and Mn were distributed in the smallest-molecular-weight fraction, while the Co, Ni, and Zn were divided between two smaller-molecular-weight fract.
Application of Blockchain in Energy Sector

—The Indian economy and moreover the Indian energy sector is at the doorstep of revolution in the way energy is being transmitted. The process has begun to change the conventional system of transmission to more agile and smart system depended on advanced technology. Due to increase in the variety of sources of power, grid system in India has started experiencing stress. Above all this India will need a robust charging infrastructure for charging of EVs. Blockchain has the potential to solve the problem of India of creating a charging infrastructure in the short period of time and also can tackle the issue of lack of range of electricity for such EV. Blockchain even promises to present a practical solution of maintaining the transaction privacy of the users. With its distributed ledger technology, all the transaction done can be collected together and can be assigned a specific unique code thus maintaining the privacy. As renewable sector is growing at a significant 17.33% CAGR. The transmission & distribution losses and lower power purchase agreement (PPA) price for prosumer lead to further momentum in blockchain technology. Indian should grab the opportunity with both the hands and make the most of the best practices amalgamating with the innovation by Indian companies. India has the potential to become the driver of digitally driven future of distribution and transmission of renewable energy.
Synthesis of neural networks for solving optimal control problems

The task of the automated control system synthesis is an actual and complicated task especially for multichannel or non-linear objects, or optimal control systems. Neural networks can be used for these tasks in many approaches. One of the most popular its usage is for classical regulator coefficient adjusting. Another use is of a preliminary learned neural network instead of a classical regulator. The use of neural networks and reinforcement learning for the task of optimal control is considered in the paper-based example of two classical objects. Based on these examples, the method of synthesis neural network of the optimal control systems is proposed. The main steps of this method are to compose a closed-loop system with a considered object and relay control; form a reward function that is focused time of transition process minimization; perform a reinforcement learning with one of the existing methods. The proposed method is able to synthesize neural networks for optimal control of the system. Recommendations are given for choosing the structure of a neural network, error functions, and other practical recommendations to speed up learning. Examples of application of the proposed methodology on two classical problems of optimal control are given. The results obtained coincide with theoretical calculations for classical regulators.
Dense multiview stereo based on image texture enhancement

In this paper, we propose a novel Multiview Stereo (MVS) method which can effectively estimate geometry in low‐textured regions. Conventional MVS algorithms predict geometry by performing dense correspondence estimation across multiple views under the constraint of epipolar geometry. As low‐textured regions contain less feature information for reliable matching, estimating geometry for low‐textured regions remains hard work for previous MVS methods. To address this issue, we propose an MVS method based on texture enhancement. By enhancing texture information for each input image via our multiscale bilateral decomposition and reconstruction algorithm, our method can estimate reliable geometry for low‐textured regions that are intractable for previous MVS methods. To densify the final output point cloud, we further propose a novel selective joint bilateral propagation filter, which can effectively propagate reliable geometry estimation to neighboring unpredicted regions. We validate the effectiveness of our method on the ETH3D benchmark. Quantitative and qualitative comparisons demonstrate that our method can significantly improve the quality of reconstruction in low‐textured regions.