Miracle-dz/UniFAR-FTUs huggingface dataset:
VOLUME MEASUREMENT OF SAND CARRIER USING UAV-BASED MAPPING

Abstract. To improve the operation efficiency and reduce the risks associated with exposing surveyors to danger during on-site operations, this paper presents a volume measurement approach of the sand carrier using unmanned aerial vehicle (UAV) imagery. Instead of the 3D surface interpolation of the sand carrier by total station measuring method or real-time kinematic global positioning system (RTK GPS) measuring method, the finely detailed surfaces of the sand carriers are reconstructed from dense point clouds derived by UAV-based mapping. Then, the volume of sand is calculated by the differential method, which multiplies the height difference between the UAV-derived 3D surfaces of the vessel and sand by the resolution of these surfaces. A total of 10 sand carriers are selected to test and evaluate the performance of the proposed approach, the absolute values of relative deviation between the volume obtained by UAV-based and the reference volume are approximately equal to 2%, which can be considered acceptable and satisfy the need of volume measurement of sand carriers. Compared with the manual field measurement and the laser scanning-based method, the proposed approach performs better in the accuracy of volume measurement or the reliability under the circumstance of a moving carrier. The overall results suggest that UAV-mapping can be used as an effective alternative to the commonly used method for volume measurement of the sand carrier.
Design a Perturb & Observe MPPT Algorithm for PV System Based Asymmetric Cascaded HalfBridge Multilevel Inverter

Objectives/methods: This research proposes a Perturb and Observe (P&O) algorithm to extract maximum power point for photovoltaic (PV) system which then used as a direct current (DC) source for an asymmetrical cascaded half-bridge (ACHB) multilevel inverter (MLI). The whole system is modelled in MATLAB/SIMULINK. An approach is used to give input DC sources to asymmetrical cascaded halfbridge MVI with two PV systems. For PV system, a P&O maximum power point tracking (MPPT) algorithm is used to control the duty cycle of DC to DC boost converter for maintaining the constant output voltage. The switching pattern of MLI done by using pulse width modulation (PWM) technique. Findings: The proposed switching sample based on Multi Carrier (MC) PWM which reduces the voltage of components, decrease size, cost and also switching losses. ACHB MLI is attractive for its features as it gives higher level of output voltage by using fewer number of switching devices. Finally, two PV systems of different output voltages are integrated with asymmetrical cascaded half-bridge MVI. The results of the proposed model are verified in MATLAB/SIMULINK. Novelty: Dual P&O MPPT algorithms based PV system is used as input DC source for asymmetric cascaded half-bridge MLI which provides higher level output voltage as compared to conventional two-level inverter.
Desulfurization of Industrial Water-Alkaline Solutions and Receiving new Plastic Oils

The research on the reagent extraction of sulfides from water-alkaline solutions was presented in the article with the purpose of their possible practical use as a component of special high-temperature grease in high-friction steam. The conditions for obtaining pentasulfide sodium and its adsorption on mixed sorbents (AC + K) were established. The complex-coordination mechanism of copper (II) sulfide formation and the method of obtaining new carbon-sulfur-containing plastic oils were offered, as well as their tribological properties in the friction pairs of roller four-row bearings were investigated.
The Strategies of Pathogen-Oriented Therapy on Circumventing Antimicrobial Resistance

The emerging antimicrobial resistance (AMR) poses serious threats to the global public health. Conventional antibiotics have been eclipsed in combating with drug-resistant bacteria. Moreover, the developing and deploying of novel antimicrobial drugs have trudged, as few new antibiotics are being developed over time and even fewer of them can hit the market. Alternative therapeutic strategies to resolve the AMR crisis are urgently required. Pathogen-oriented therapy (POT) springs up as a promising approach in circumventing antibiotic resistance. The tactic underling POT is applying antibacterial compounds or materials directly to infected regions to treat specific bacteria species or strains with goals of improving the drug efficacy and reducing nontargeting and the development of drug resistance. This review exemplifies recent trends in the development of POTs for circumventing AMR, including the adoption of antibiotic-antibiotic conjugates, antimicrobial peptides, therapeutic monoclonal antibodies, nanotechnologies, CRISPR-Cas systems, and microbiota modulations. Employing these alternative approaches alone or in combination shows promising advantages for addressing the growing clinical embarrassment of antibiotics in fighting drug-resistant bacteria.
Yield and chemical composition of massai grass fertilized with nitrogen

Nitrogen fertilization, in addition to increasing biomass production, can also positively influence the chemical composition of a forage plant. The aim of this research was to evaluate the yield and chemical composition of Megathyrsus maximus cv. Massai grass under five nitrogen fertilization levels (0, 150, 300, 450 and 600 mg N dm -3 soil, equivalent to 0, 300, 600, 900 and 1,200 kg ha -1 year -1 , respectively) and during growth cycles (establishment and regrowth cycles) in a greenhouse. A completely randomized design with split-plot arrangement was adopted in which the five nitrogen levels were the plots and the cycles were the subplots. The total forage biomass increased with the nitrogen fertilization levels in the three growth cycles (28.4 g pot -1 , 32.0 g pot -1 and 29.8 g pot -1 for establishment, regrowth 1 and regrowth 2, respectively, at the level of 600 mg N dm -3 ), and it was reduced from establishment to regrowth at lower N levels. The dry matter content was not affected by the N levels. However, this content presented higher values at the regrowth cycle in comparison to the establishment cycle. The crude protein (CP) content increased (7.0% CP at the level of 600 mg N dm -3 ), while the neutral detergent fiber (NDF), acid detergent fiber (ADF) and hemicellulose (HEM) contents all decreased at higher N levels, with the highest CP content being observed at the establishment, and the opposite occurring for NDF, ADF and HEM. Nitrogen fertilization provides positive responses on yield and chemical composition of massai grass.
USING AN LOW-COST STEREO CAMERA FOR AUTONOMOUS NAVIGATION OF MOBILE ROBOT

Abstract. The paper considers the possibility of using low-cost stereo cameras for autonomous robot navigation. An low-cost stereo camera with a focal length of 5 mm and a photo base of 6 cm was chosen for the research. Experimental studies have shown that the accuracy of determining the coordinates of object points from a pair of images obtained by such a stereo camera is sufficient for organizing autonomous navigation of the robot. In order to improve the reliability and accuracy of determining the trajectory of the robot, this paper proposes to use two stereo cameras. One is directed forward by the robot's movement, and the other is directed at the nadir. Thus, the trajectory is determined twice, independently of each other. Moreover, each case has its own algorithm for finding the homologue points. In the first case, a sparse point cloud is constructed for each stereo pair based on the selection of interesting points and their identification based on the comparison of descriptors. In addition, blunder detection of points identification are realized based on the analysis of the values of the relative orientation equations using the fundamental matrix. In the second case, when the stereo camera is pointed at the nadir, the usual method of correlation is used in the nodes of the grid specified at one image. Experimental studies have shown sufficient efficiency of autonomous navigation of mobile robot based on the use of two stereo cameras.
The nature of volunterreed geographic information

This contribution starts from the assumption that volunteered geographic information is a technological, cultural and scientific innovation. It therefore offers first some general background on the context that has fuelled the development of VGI and the lively scientific debates that have accompanied its success. The paper then focuses on the nature of this data by describing the main elements of VGI: the geographical reference (coordinates, geotag, etc.), the contents (texts, images, etc.) and the producers’ profiles. The opportunities and the criticalities offered by this data are described with examples drawn from recent literature and applications to highlight both the research challenges and the current state of the subject. The chapter aims to provide a guide to and a reference picture of this rapidly evolving subject.
PALEOMAGNETIC DATA FROM THE BIG ISLAND GNEISS DOME AT KISSISSING LAKE (NTS 63N/3)

Paleomagnetic data for the Big Island gneiss dome at Kississing Lake in the Kisseynew Domain are reported. The specimens have an extremely wide range of natural remanent magnetization intensities, large viscous remanence components, and well-defined, but scattered, characteristic remanence directions that suggest either mixed primary and secondary metamorphic origins and/or unrecognized post-remanence tectonic deformation.
Understanding the Relationship between Divestitures and Innovation: The Moderating Role of Organization Design

This paper investigates a tradeoff that may exist between the quantity and quality of innovation outcomes in divesting firms, as moderated by their organization designs. On one hand, divesting firms would be expected to produce fewer inventions after undertaking divestitures due to the knowledge loss that these transactions may entail. On the other hand, divesting firms would be expected to produce more original inventions and to progress a greater proportion of those inventions into development after undertaking divestitures due to the knowledge recombination and resource reallocation benefits of these transactions. These two innovation benefits of divestitures should be lower for firms with decentralized rather than centralized Research and Development (R&D) units. We find support for these arguments in the context of the global pharmaceutical industry.
Incidence and Phenotypic Pattern of Antibiotic Resistance of Vibrio Species Isolated from Seafood Samples Caught from the Persian Gulf

Vibrio species, particularly V. cholerae, V. parahaemolyticus, V. vulnificus and V. harveyi are considered as an imperative foodborne pathogens associated with seafood consumption. An existing survey was carried out to determine the incidence and antibiotic resistance of Vibrio spp. isolated from diverse kinds of seafood samples. Seven-hundred and forty seafood samples including fish, shrimp, oyster, crab and shellfish were collected from the Boushehr port, Persian Gulf, Iran. Seafood samples were examined by culture method. Identification of Vibrio isolates was done by the PCR. Antibiotic resistance of bacteria was assessed by the disk diffusion. Seventy-nine out of 740 (10.67%) seafood samples were contaminated with Vibrio spp. Incidence of V. cholerae, V. parahaemolyticus, V. vulnificus and V. harveyi amongst the seafood samples was 18.98%, 41.77%, 13.92% and 10.12%, respectively. Incidence of other Vibrio species was 15.18%. The uppermost rate of contamination was found in shellfish (14.66%), shrimp (12%) and oyster (12%). The uppermost incidence of resistance was found toward tetracycline, penicillin, gentamicin, ampicillin, erythromycin and streptomycin. The lowermost rate of resistance was found toward vancomycin, nalidixic acid and azithromycin. Fish, shrimp, crab and oyster samples were considered as the main sources of transmission of V. cholerae, V. parahaemolyticus, V. vulnificus and V. harveyi bacteria. Proper cooking of seafoods before consumption and monitor the antibiotic prescription can reduce the risk of transmission of antibiotic resistant-Vibrio spp. through seafood consumption. Nevertheless, supplementary surveys are essential to originate more specifics about the impact of Vibrio spp. in seafood samples.
Energy adaptive block design based neighbor discovery for asynchronous wireless sensor networks

Background: The need for an efficient neighbor discovery model is tremendously essential with the development of Wireless Sensor Networks (WSNs). The neighbor discovery model has growingly been significant in enhancing the performance of WSNs.Methods: In this study, adaptive energy duty-cycle, energy-efficient Balanced Incomplete Block Design (BIBD) hybrid scheme is proposed for WSNs that controls collisions, and overhearing obstacle by maintaining energy over WSNs. Energy adaptive BIBD leverages the features of symmetric BIBD. Evaluation of the proposed model is demonstrated using the TOSSIM tool, and the performance parameters are compared with other wellknown neighbor discovery process, including Disco, U-Connect, and Searchlight, Hedis, and Todis algorithms. Findings: The outputs of our simulation study illustrates that the proposed model significantly outperforms other neighbor discovery algorithms with reference to energy-efficiency and discovery latency.
Total Precipitable Water estimated from Split-Window technique using meteorological satellite data

Total precipitable water has been retrieved from two different split-window techniques, the Split-Window Logarithm Ratio (SWLR) technique and the Physical Split-Window (PSW) technique, using brightness temperature data of the Geostationary Meteorological Satellite (GMS-5) imager. Retrieval has been conducted for the East-Asia region, and results are compared with TPW from a numerical prediction model, Regional Data Assimilation and Prediction System (RDAPS). Both techniques give spatial distribution of TPW similar to that of RDAPS. However, the SWLR technique reveals large horizontal gradients near clouds. Results from the PSW technique are in good agreement with those of RDAPS.
Formulation and In Vitro Characterization of Polymeric Nanoparticles Designed for Oral Delivery of Levofloxacin Hemihydrate

In the present study, levofloxacin hemihydrate (Levo-h) was successfully incorporated into cationic Eudragit ® RL 100 (ERL) nanoparticles by spray-drying method aiming oral application. Particle size and zeta potential measurements, entrapment efficiency, morphological, thermal, FTIR and NMR analyses and Levo-h quantification by UV analyses were performed for characterizing the formulations prepared. Release pattern of Levo-h from the nanoparticles was determined using a dialysis tube. Following successful incorporation of Levo-h into the polymeric nanoparticles, ERL-Levo-h (10:1) was selected for further studies considering smaller particle size with narrow size distribution, cationic zeta potential, possible drug polymer interaction indicated by thermal, FTIR and NMR analyses and prolonged release behavior. In vitro characterization results showed that Eudragit ® RL 100 nanoparticles could enhance bioavailability, decrease Levo-h inactivation and also reduce the potential of drug resistance.
MANAGING THE DIGITAL TRANSFORMATION OF THE BROADCASTING INDUSTRY WITH BIG DATA - BIG DATA’S IMPACT ON CONTENT IN THE DUTCH BROADCASTING INDUSTRY

Due to technological advances, the global broadcasting industry is in the midst of a digital transformation. The factors that caused it, changing consumer behavior, the diversification of communication channels, and new market entrants, have threatened traditional players in their existence. For their fight for survival in this insecure environment, big data offer remedy: They present predictability and stability and presumably shine the light through an impenetrable world that is taken over by companies that do not consist of creativity but technology. To defy those tech giants, traditional broadcasting companies do not only develop digital products and new business models that revolve around data, they also lean towards big data analytics to see how they can differentiate themselves from their new competitors in terms of content. With Netflix setting first examples, the implications of data-driven content for creativity have been discussed fiercely within the industry. Academics, however, rather point out the limitations of big data analytics, such as possible biases, and their cultural implications. Yet, little has been said about current and future possibilities of data-driven content. Furthermore, not much knowledge exists about how big data change organizational processes within media companies and production processes of creative products. Therefore, this work researches the Dutch broadcasting industry’s application of big data for decision-making about content and answers the question how companies in the Dutch TV broadcasting industry use data and what are their intentions are regarding its possible application for content. 16 interviews with media experts in the field of data, production and decision making were conducted and served as the basis for a latent thematic analysis. The findings draw a detailed picture of current developments and suggest that big data analytics are seen as the solution for the industry’s struggle and perceived as highly beneficial for content. While the research revealed different levels of big data application for content between public and commercial broadcasters, the overall adoption of big data for content remains low and suggests a non-intrusive usage of big data analytics that traces back to isomorphic tendencies. The little interference of big data with creative processes as currently prevalent in the market shows the resistance of the required fundamental change. The main reason for this was detected to be a lack of managerial vision and skill sets to change existing routines and make data actionable. Overall, the development of a clear direction and strategic approach of traditional players within the broadcasting market is yet to come.
Analyzing distributed denial of service attacks in cloud computing towards the Pakistan information technology industry

Objectives: Cloud computing technology is in continuous development, and with numerous challenges regarding security. In this context, one of the main concerns for cloud computing is represented by the trustworthiness of cloud services in the Pakistan Information Technology (IT) industry. This problem requires prompt resolution because IT organizations in Pakistan adopting cloud services would be exposed to increased expenditures while at a higher risk. A survey conducted by International Data Corporation (IDC) in August 2008 conﬁrms that security is the major barrier for cloud users in Pakistan. Material/methods: We have proposed the mathematical-based model for an estimate of our user’s requirements regarding our resource investment based on queuing theory to overcome these security issues in cloud technology. We are adopting a system and real-world analysis using data set experiments. Result: In this article, we proposed a solution to overcome the Distributed Denial of Service (DDoS) attacks in a cloud computing environment in the Pakistan IT services; because along with discussed above phenomena, we also used DST and FTA (Fault Tree Analysis) for mentioned attacks. Conclusion: Our proposed solution based on Dempsters combination rule is to analyzed mixture proof of diﬀerent types of cloud attacks in IT industries in Pakistan.
The Lecturers’ Performance in Teaching English of Nommensen HKBP University: An Anthropolinguistic Study

The aim of this research is to find out the lecturers’ performance in teaching English of Nommensen HKBP University. The data collection used interview sheet, depth-direct observation and written document. The data were the utterances of lecturers while they were teaching in the class room. The data were collected from informant who teaches in the classroom. The analyzing data used interactive model, namely: data display, data condensation and drawing conclusion/verifying. The results of this research were the lecturers’ performance showed from their capability in teaching English. The lecturers’ performance was legitimate the lecturer in teaching English in front of class. The pattern of the lecturer’s performance can conclude in some parts such as: the introduction, core and ending. Text, Co-text and context cover good relationship to students. The lecturers motivated the students in practice English. The lecturers encouraged the students to love English subject. The lecturers suggested the best way of English utterances. Based on the results, it is needed to do the next research to find out the new method of lecturers’ performance in teaching English.
Biomathematical models for genetic diversity analyses in complete genomes of SARS-CoV-2

In this work, we evaluated the levels of genetic diversity in 38 complete genomes of SARS-CoV-2, publicly available on the National Center for Biotechnology Information (NCBI) platform and from six countries in South America (Brazil, Chile, Peru, Colombia, Uruguay and Venezuela with 16, 11, 1, 1, 1, 7 haplotypes, respectively), all with an extension of 29,906 bp and Phred values [≥] 40. These haplotypes were previously used for phylogenetic analyses, following the alignment protocols of the MEGA X software; where all gaps and unconserved sites were extracted for the construction of phylogenetic trees. The specific methodologies for Paired FST estimators, Molecular Variance (AMOVA), Genetic Distance, mismatch, demographic and spatial expansion analyses, molecular diversity and evolutionary divergence time analyses, were obtained using 20,000 random permutation.
Two new species of Gulella (Mollusca : Pulmonata : treptaxidae) from the Taita Hills, Kenya

The streptaxid land-snails Gulella ndiwenyiensis sp. n. and G. nictitans sp. n. are described as narrowrange endemics from indigenous forest remnants in the Taita Hills, Kenya. The conservation needs of these species are likely to be similar to another Taita endemic streptaxid, Gulella taitensis Verdcourt, which has been assessed as meeting the IUCN criteria for Critically Endangered category. On shell morphology, one of the new species can be assigned to a morpho-group of others which appears to extend from eastern Kenya to eastern South Africa, while the other most closely resembles other tropical, mainly eastern, African species. We introduce data on aspects of the soft anatomy in the hope that these groupings may be tested when other taxa are investigated more thoroughly.