Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Citizens Acceptance for e-Government Services in Bandung, Indonesia: The Use of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model

At present, the use of ICT is growing very rapidly. This has led to changes in processes, functions, and policies in various sectors, including the public service sector managed by the government. e-Government is a new mechanism between the government and the community and stakeholders, which involves the implementation of information technology, and aims to improve the quality (quality) of public services. Bandung City is one of the cities that is very intensive in developing the use of ICT in implementing e-Government. The focus of the city government of Bandung is the Government to Citizen (G2C) application model. The application that is still lacking in use is the e-punten application. One important factor for the success of e-Government services is the acceptance and willingness of people to use e-Government services. E-punten application services provided by the Bandung city government will not run perfectly if no people are using it. To assess what factors influence the use of e-punten applications in the city of Bandung, the UTAUT model is used. To analyze the factors that influence the acceptance of e-punten applications SEM analysis is used. In this study, the PLS-SEM approach is used to solve multiple regression when specific problems occur in the data, such as the small sample size of the study. The PLS evaluation is carried out by evaluating the measurement model and the structural model that best suits the UTAUT model. Factors that influence the use of e-punten applications are effort expectancy for behavioral intention, facilitating conditions for use behavior, and behavioral intention for use behavior. The factors that have the most influence are performance expectancy and effort expectancy.
Fluidized bed upgrading of wood pyrolysis liquids and related compounds

The effective hydrogen index (EHI) is a calculated indicator of the ''net'' hydrogen/carbon ratio of a pure or mixed heteroatom-containing feed, after debiting the feed's hydrogen content for complete conversion of heteroatoms to NH/sub 3/, H/sub 2/S, and H/sub 2/O. Compounds with EHI's <--1 are difficult to upgrade to premium products over ZSM-5 catalyst due to rapid catalyst aging in continuous fixed bed processing. However, high conversions of such feeds (acetic acid, methyl acetate, and wood pyrolysis liquids) can be maintained in a fluidized bed system operating under methanol-to-gasoline conditions and employing frequent catalyst regeneration.
Comparison greedy matching methods on cigarette usage of individuals in Turkey

There has been a growing interest in using observational studies to estimate treatment effects on outcomes where treatment selection is often influenced by covariates. Recently, propensity score matching (PSM) method has increasingly being used to reduce bias in estimated treatment effect for observational studies. Greedy Matching (GM), one of the PSM methods, is widely preferred in many studies because of the calculation simplicity of the method. However, GM is still open to be evaluated in terms of bias reduction and classification performances. For this purpose, data including cigarette usage of 17242 individuals in Turkey were used for the comparison of nearest neighbor, caliper, stratification, Mahalanobis metric, and combined propensity score and Mahalanobis metric matching methods in terms of average standardized bias, bias reduction, and accuracy rate. The stratification-matching method should be preferred for not only low standardized bias and high bias reduction, but also high accuracy rate.
A survey on implementation of lightweight block ciphers for resource constraints devices

Abstract Lightweight cryptography is essential for securing resource-limited devices like smart card, RFID (radio-frequency identification)tags, sensor network and embedded system. In this paper, we present a survey of lightweight block ciphers from both software and hardware perspectives. This paper show the analysis of lightweight block ciphers on the basis of block size, key size, number of rounds, area in gate equivalent, speed, logic process as metrics for comparison purpose. Also, this comprehensive survey highlights the strengths and some of the security related issues in terms of key length and attacks in lightweight cryptography.
Improving The Effectiveness of Texts Retrieval using Knowledge-Based Approach

A predicate-based document query language is proposed to allow users to define the search criteria precisely and reliably, and their knowledge of the documents to be retrieved. A guided search tool is built as an intelligent user interface oriented to the natural language in order to help users formulate queries. Supported by a generator of intelligent questions, an inference engine, a query base. A problem is faced when using the modern IR systems. It’s represented in the vocabulary problem. This problem is represented in the inconsistencies between the terms which are used to describe the terms and the documents that are used by the investigator for describing their need for knowledge. The researcher has an automated thesaurus. This device has been designed using the Vector Space Model (VSM). The researcher used the similarity calculation of Cosine in this method. He used the selected 242 abstract Arabic documents in this article. All these abstracts include the information and computer science process. This paper aimed at building and designing automated Arabic thesauri through the use of the term similarity which could be employed in any particular domain or field for improving the process of expansion and obtaining greater number of relevant documents for the user query. In terms of recall and precision rates, it was found that the similar thesaurus is more capable than the conventional information retrieval system to enhance the recall process and precision.
Laser Data Based Automatic Generation of Lane-Level Road Map for Intelligent Vehicles

With the development of intelligent vehicle systems, a high-precision road map is increasingly needed in many aspects. The automatic lane lines extraction and modeling are the most essential steps for the generation of a precise lane-level road map. In this paper, an automatic lane-level road map generation system is proposed. To extract the road markings on the ground, the multi-region Otsu thresholding method is applied, which calculates the intensity value of laser data that maximizes the variance between background and road markings. The extracted road marking points are then projected to the raster image and clustered using a two-stage clustering algorithm. Lane lines are subsequently recognized from these clusters by the shape features of their minimum bounding rectangle. To ensure the storage efficiency of the map, the lane lines are approximated to cubic polynomial curves using a Bayesian estimation approach. The proposed lane-level road map generation system has been tested on urban and expressway conditions in Hefei, China. The experimental results on the datasets show that our method can achieve excellent extraction and clustering effect, and the fitted lines can reach a high position accuracy with an error of less than 10 cm
Variation in Runoff, Suspended Sediment Load, and Their Inter-Relationships in Response to Climate Change and Anthropogenic Activities Over the Last 60 Years: A Case Study of the Upper Fenhe River Basin, China

The variation of river runoff (Q) and suspended sediment load (S), in addition to their influential factors, is an important area of focus in hydrological sciences. Here, Mann–Kendall tests and double mass curve analyses were used with hydrometric data from four hydrological stations in the upper Fenhe River Basin in China to evaluate temporal trends in annual Q (Qa) and S (Sa) values between 1955 and 2015. Based on the observed inflection points, three distinct periods were identified, namely, 1955–early 1980s (period I), the early 1980s–1996 (period II), and 1996–2015 (period III). The Qa and Sa values for the four stations, except for Qa values for the Jingle station, significantly decreased over the study period, with average reduction rates of 0.68–1.07 mm∙km−2∙a−1 and 9.24–54.39 t∙km−2∙a−1, respectively. Decreased rainfall, implementation of soil and water conservation program, and reservoir construction were primarily responsible for decreased Qa and Sa values for the three stations during period II, while the first two factors led to variation in Qa and Sa for the Jingle station during the same period. During period III, the Qa, Sa, and Qa–Sa relationships for the four stations were intensively affected by increased anthropogenic activities, including water diversion, cross-basin water transfers, soil and water conservation measures, revegetation efforts, and sand excavation. Further, the Qa, Sa, and Qa–Sa relationships at the Lancun station were affected by the construction of the No. 2 Fenhe Reservoir. Effective water use and supply strategies should be implemented in the future for the upper Fenhe River Basin.
Optimization of the navigated TMS mapping algorithm for accurate detection of plasticity and abnormalities in cortical muscle representations

Navigated TMS mapping of cortical muscle representations allows noninvasive assessment of the state of a healthy or diseased motor system and monitoring its change with time. These applications are hampered by the heterogeneity of existing mapping algorithms and the lack of detailed information about their accuracy. We aimed to find an optimal motor evoked potential (MEP) sampling scheme in the grid-based mapping algorithm in terms of the accuracy of muscle representation parameters. The APB muscles of eight healthy subjects were mapped three times on consecutive days using a seven-by-seven grid with ten stimuli per cell. The effect of the MEP variability on the parameter accuracy was assessed using bootstrapping. The accuracy of representation parameters increased with the number of stimuli without saturation up to at least ten stimuli per cell. The detailed sampling showed that the between-session representation area changes in the absence of interventions were significantly larger than the within-session fluctuations and thus could not be explained solely by the trial-to-trial variability of MEPs. The results demonstrate that the number of stimuli has no universally optimal value and must be chosen by balancing the accuracy requirements with the mapping time constraints in a given problem.
Organic Compounds: Contents and Their Role in Improving Seed Germination and Protocorm Development in Orchids

In nature, orchid seed germination is obligatory following infection by mycorrhizal fungi, which supplies the developing embryo with water, carbohydrates, vitamins, and minerals, causing the seeds to germinate relatively slowly and at a low germination rate. The nonsymbiotic germination of orchid seeds found in 1922 is applicable toin vitropropagation. The success of seed germinationin vitrois influenced by supplementation with organic compounds. Here, we review the scientific literature in terms of the contents and role of organic supplements in promoting seed germination, protocorm development, and seedling growth in orchids. We systematically collected information from scientific literature databases including Scopus, Google Scholar, and ProQuest, as well as published books and conference proceedings. Various organic compounds, i.e., coconut water (CW), peptone (P), banana homogenate (BH), potato homogenate (PH), chitosan (CHT), tomato juice (TJ), and yeast extract (YE), can promote seed germination and growth and development of various orchids. They also stimulate seedling development, formation of protocorm-like bodies (PLBs), plantlet growth, and multiple shoot formation. The addition of organic compounds to culture media, individually or in combination, accelerates seed germination and seedling development. Different types and concentrations of organic nutrients are needed for the success ofin vitrocultures, depending on the species and genotype.
Organoleptic, Chemical, and Physical Characteristics of Sago (Metroxylon spp.) Analog Rice Supplemented with Red Bean (Phaseolus vulgaris) Flour as a Functional Food

Sago analog rice is rice made from sago starch with or without supplementation of other food materials, and its shape resembles that of rice. Red bean flour is added to analog rice to increase its protein content to levels comparable to those of rice. The objective of this research is to investigate the organoleptic preference of panelists, and the chemical and physical characteristics of sago analog rice supplemented with red bean flour. We used a completely randomized design with one factor: the supplementation of red bean flour at 0%, 5%, 10%, 15%, 20%, and 25%. Our organoleptic test applied for the hedonic scale and examined the aroma, taste, and texture of cooked sago analog rice; the observed chemical characteristics were water, ash, fat, protein, and starch content. Physical characteristics were cooking time, water content, the weight of water loss, water absorbability, and granule characteristics. Data were analyzed using the analysis of variance. When results were significantly variable, the analysis was followed by the Duncan multiple range tests (DMRT) at the significance level of α < 5%. Our results show that supplementation of red bean flour up to 10% resulted in hedonic values ranging from “like” to “quite like” for taste and aroma, and “like” for texture; BS100 analog rice had the highest hedonic value. The water content of sago rice and the weight of water loss of cooked sago rice did not show a significant difference. In addition, ash content, protein content, fat content, starch content, cooking time, and water content of cooked sago rice displayed significant differences. A higher supplementation of red bean flour to sago rice influences granule structure, which appears damaged with rough surfaces and high porosity. Moreover, the size of the granules is smaller.
Face Recognition based on CNN 2D-3D Reconstruction using Shape and
 Texture Vectors Combining

This study proposes a face recognition model using a combination of shape and texture vectors that are used to produce new face images on 2D-3D reconstruction images. The reconstruction process to produce 3D face images is carried out using the convolutional neural network (CNN) method on 2D face images. Merging shapes and textures vector is used to produce correlation points on new face images that have similarities to the initial image used. Principal Component Analysis (PCA) is used as a feature extraction method, for the classification method we use the Mahalanobis method. The results of the tests can produce a better recognition rate compared to face recognition testing using 2D images.
CHIA SEED AS A SOURCE OF IN VITRO ESTABLISHMENT OF Salvia hispanica L. PLANTS

Technique of tissue culture for Chia (Salvia hispanica) micropropagation was achieved, this study investigated the impact of various concentrations of plant growth regulators on shoot multiplication and root induction with the Chia’s mature seed as a source explant. The highest percentage of shoot formation (80%), shoots number per explant(3.20) and shoot length(3.26 cm), were recorded on MS medium enriched with BAP(1.0 mgl -1 ) after eight weeks of seed culture. The optimal medium for the rhizogenesis was achieved on half strength MS medium fortified with 1.0 mgl -1 IBA after four weeks of culture, which had the highest rooting percentage (100%) with highest mean of roots number (5.6 roots per shoot) with (3.40 cm root length). The rooted plants were successfully adapted ex vitro with a survival rate of
The Use of Organic Coagulants in the Primary Precipitation Process at Wastewater Treatment Plants

Measurements for determining the effect of chemically enhanced primary treatment (CEPT) on the efficiency of pollutant removal from wastewater were carried out using conventional inorganic coagulants PIX113 with polymer A110 (Kemipol, Police, Poland) and unconventional cationic organic coagulants Cofloc (Attana, Coalville, UK) C29510 (Kemipol, Police, Poland) and Sedifloc 575 (3F Chimica, Sandrigo, Italy). The average removal efficiency in the 2-h sedimentation process was 46%, 34%, 8%, 12% for the total suspended solids, organic matter (COD), total nitrogen, and total phosphorus, respectively. The use of organic coagulants contributed to 14–81% increase of pollutant removal efficiency. Substantial discrepancies in biological nutrient removal processes were not discovered in two-phase (anaerobic-anoxic) experiments without and with the addition of the organic coagulants. The increase in organic matter removal efficiency as a result of the CEPT process may contribute to a 65–80% increase in biogas production. The conducted research confirms the possibility of using organic coagulants in the primary precipitation process in wastewater treatment plants (WWTPs) in accordance with the principles of maximum energy recovery, thereby promoting renewable energy sources. Additionally, organic coagulants, as opposed to inorganic ones, do not cause a significant increase of chloride and sulfate ion concentrations, which facilitates the use of treated wastewater in the water reuse systems, such as irrigation of agricultural crops.
Developing Theatre for the Young in Malaysia: Benefits and Challenges

This study investigates how young people in Malaysia enjoy theatre or find it relevant at all in the era of television, films and technology. The research was done using three approaches: A Naturalistic Inquiry methodology where the research was done at site which is in Kinabatangan, in East Malaysia with 25 young people to develop a script; a creative arts methodology was done in the studio where the script was explored and developed into a performance; the last phase of the research used a primary qualitative methodology to explore how young audiences watch theatre in which the research instruments used were questionnaires and open-ended interviews. There were 9 respondents from a Primary School and 23 respondents from a secondary School. This research that came out of the practice, enabled the researcher to investigate children’s life experiences and listen to themThe knowledge gathered is that the young in Malaysia are definitely excited about theatre which communicates to them and which has aesthetic, entertaining, imaginative and educational merits. The research connected the young in East Malaysia as participants who contributed to the script with the young in West Malaysia who performed it and young audiences who watched it.
AN INNOVATIVE MODEL FOR THE ADMISSION OF TALENTED HIGH SCHOOL STUDENTS TO THE UNIVERSITY: A CASE STUDY

The education of gifted students differentiates from regular education based on their status. Special education for talented individuals in Turkey has a variety of applications starting from elementary schoolage. Although they receive different pieces of training, there are no transition processes similar to the differentiated practices provided in their education to move to a higher education institution. 983,000 12thgrade students have taken the university entrance exams in 2019. Assuming that 3% of the students who took the exam were gifted, approximately 30,000 gifted students have taken this exam. In line with the model recommended by Kırkıç for gifted students, the use of a different model in transition to university should be considered for gifted students. This study was carried out with a qualitative single case pattern, the purpose of which was to determine the participant's opinions about the summer school application, which can be used for the transition of gifted high school students to universities, which are higher education institutions. Participants of the study are a student who studies at the summer school determined by the purposeful sampling method and the supervisor of the laboratory in which she studies. In this study, it was aimed to evaluate the laboratory studies process and the summer school application proposed by the model, where gifted high school student voluntarily attends during the summer holiday of the year she passed the 10th grade. Also, the opinions of the supervisor of the laboratory studies attended by the student were taken. Data were collected through interviews, observation, and renegotiation. Interview voice recordings were obtained with the permission of the participants. A descriptive analysis was done after obtaining the data. According to the results of the analysis, it was found that the activities performed by the gifted high school students in summer school based on their interests help them to decide their department after the university exam, increase their motivation, provide learning experience by doing and living, contribute to deep learning, create the opportunity to experience university life, and make them aware of the advantages and disadvantages of starting early. According to the results of the analysis, it was found that the activities performed by the gifted high school students in summer school based on their interests help them to decide their department after the university exam, increase their motivation, provide learning experience by doing and living, contribute to deep learning, create the opportunity to experience university life, and make them aware of the advantages and disadvantages of starting early.
A Mars helicopter preps for launch: The first drone to fly on another planet will hitch a ride on NASA's Perseverance rover - [News]

If ever there was life on Mars, NASA's Perseverance rover should be able to find signs of it. The rover, scheduled to launch from Kennedy Space Center, in Florida, in late July or early August, is designed to drill through rocks in an ancient lake bed and examine them for biosignatures, extract oxygen from the atmosphere, and collect soil samples that might someday be returned to Earth.
Review of Virtual Traffic Simulation and Its Applications

The increasing number of vehicles in cities brings new challenges to urban traffic management. Analyzing and modeling traffic is of great practical significance to urban intelligent traffic management. In this paper, the existing traffic simulation research is reviewed and summarized. Firstly, the crowd modeling and crowd animation are analyzed by referring to the idea of crowd simulation. Secondly, it compares and analyzes various existing car following technologies, and points out that animated traffic simulation is a hotspot in traffic simulation research. And then the concept of affective computing is integrated into the traffic simulation, considering the impacts of drivers’ emotion on vehicle driving and it is pointed out that the emotion-driven traffic flow is more authentic. Finally, combined with the status quo, the existing research drawbacks are analyzed, and the direction of future traffic simulation is pointed out.
New symbiotic association in marine annelids: ectoparasites of comb jellies

A new genus of ectoparasitic marine annelids living on ctenophores, Ctenophoricola gen. nov., is described and its feeding behaviour, reproduction and developmental stages are discussed. Its unusual morphology challenged its placement within the known marine families. However, analyses of mitochondrial and nuclear sequence data showed the new genus as member of the Alciopini, a group of holopelagic annelids included within the Phyllodocidae. Ctenophoricola masanorii sp. nov. from Japan and Ctenophoricola rousei sp. nov. from the Canary Islands (Spain) are described. A third species from the Gulf of California is not formally described because the specimens are in poor condition. The new genus is characterized by having: 1) two distinctive body regions, the anterior with reduced parapodia lacking chaetae, and the posterior with long parapodia and chaetae and 2) a pair of large, elongate lensed eyes. These eyes are here described using histology and 3D reconstruction based on a Californian specimen. The two new species mainly differ in colour pattern, shape of parapodia, number of chaetae and body ciliation.