Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Food Image Segmentation Based on Homogeneity Test of K-Means Clustering

Data clustering is an important machine-learning topic. It is useful for variety of applications one of them is image segmentation. A given divided image into regions homogenous additional to certain features is the image segmentation process, which matches real objects of an actual scene. FIS (Food Image Segmentation) is important for calories estimation. K-means has been used for performing such task. However, in order to conclude the food items number in the image, it requires interacting with the application. This article, presents a novel approach based dependently on k-means named Hk-means (Homogeneity test of k-means) is developed to calculate k value and applied for FIS for the purpose of assuring full autonomy in the calories estimation system. This approach uses the homogeneity test so as to compensate the new item existence in the image. The suggested method Hk-means is tested on food images and show accuracy 96%. The experimental results has achieved 1.5 second execution time when compare with benchmark method.
Temperature and Volume Dependence of the Viscosity of Water and Heavy Water at Low Temperatures

New measurements have been made for the viscosity (η) of light and heavy water between the temperatures of 255.65 K and 298.15 K at pressures up to approximately 375 MPa with a falling-body viscometer. A revised correlation function is used to represent the results as a function of temperature and molar volume (V) with a standard deviation of ±0.2% for both H2O and D2O. The overall uncertainty is estimated at ±1%. Comparison of the two sets of data shows that they are consistent with the correlation η(D2O,T,V) = 1.0544η(H2O,T − 6.498 K,V) where 1.0544 is the square root of ratio the molar masses and 6.498 K is the thermal offset proposed by Robinson and co-workers.
Distribution and abundance of aerobic anoxygenic phototrophic bacteria in the tropical coastal waters of Gunungkidul, Yogyakarta, Indonesia

Aprilyanto V, Sembiring L, Djohan TS. 2020. Distribution and abundance of aerobic anoxygenic phototrophic bacteria in the tropical coastal waters of Gunungkidul, Yogyakarta, Indonesia. Biodiversitas 21: 5506-5513. Aerobic anoxygenic phototroph (AAP) is a community of bacteria capable of performing anoxygenic photosynthesis in the presence of oxygen. AAP abundance in most oceanic regions signals its ecological importance in marine microbial loop. This study was conducted to reveal the distribution and abundance of AAP in Siung coast, Gunungkidul, Yogyakarta, Indonesia. Total bacterioplankton and AAP were enumerated using acridine orange direct count (AODC) and real-time quantitative PCR (qPCR), respectively. Several water physicochemical parameters as well as dissolved nitrate, ammonium, phosphate, and sulfate were also measured. The results showed that total bacterioplankton was distributed thoroughly in the water column with abundance ranging from 2.5×10 to 3.5×10 cells/mL. Within this total bacterioplankton, AAP ranged from 3.83×10 –7.48×10 cells/mL, comprising about 1% to ~2.5%. Inorganic nutrient concentration, mainly nitrate and phosphate were thought to be the regulating factors to the distribution and abundance of both communities. In conclusion, AAP comprises a relatively low portion of the total bacterioplankton community in the tropical coastal water in Gunungkidul, Yogyakarta.
Chemical vapor generation characteristics of transition and noble metals reacting with tetrahydroborate(III)

The vapor generation characteristics of several transition and noble metals arising from reduction of their aquo-ions by tetrahydroborate(III) are presented. A modified parallel path Burgener Teflon nebulizer interfaced to an ICP-MS for detection was used to examine the effects of experimental variables. The influence of both hydrochloric and nitric acid as well as the nature of the surface exposed to the nascent species is of paramount importance to the overall efficiency of the generation process. Both glass and Ryton double pass spray chambers were examined, the latter providing superior performance with respect to sensitivity as well as memory effects. Data were presented for the generation of vapor phase species of Rh, Pd, Au and Cu that can be collected in a weakly acidic medium for subsequent release as a gaseous product.
Investigate and Compare Software-Defined Network Controllers for UAV Networks Management

Unmanned aerial vehicles that abbreviates (UAVs) are flying platforms, known as drones, which have features such as mobility, adaptive altitude and flexibility. UAVs admit numerous applications that can be used as aerial base stations to enhance coverage, capacity, and energy efficiency of wireless networks. On the other hand, UAVs can operate as flying mobile terminals within a cellular network. Such cellular-connected UAVs can enable several applications ranging from real-time video streaming to item delivery. A Software Defined Network (SDN) Controller is the application that acts as a strategic control point in a software-defined network. It is the ’brain’ of the network. Controller manages flow control to the routers/switches ‘under’ (via southbound APIs), the business logic and applications ’above’ (via northbound APIs) to deploy intelligent networks. Wireless networking with software defined (SDWN) is the use of SDN conceptions in wireless networks by using a controller in the control plane. SDWN facilitates the creation of new adaptive mechanisms according to various applications and user requirements, such as mobility, handover, security and quality of service (QoS). In this paper, simulation work has been conducted to compare and investigate four SDN controllers (Pox, Ryu, Floodlight and OpenDaylight) in order to see which one is suitable to be used. Mininet-Wifi has been selected as the simulation tool to do the experiments and Python script for programming. The results obtained reveals that Ryu controller is the best selection in terms of latency and packet loss.
SOLUBILITY ENHANCEMENT OF POORLY WATER SOLUBLE FLURBIPROFEN BY CRYALLO-CO-AGGLOMERATION APPROACH

The crystal-co-agglomerate technique has been performed as promising valued particle design technique for enhancing SLty and DisL rate, compressibility and micrometric properties. “Crystallo-co-agglomeration is an extension of spherical crystallization technique,which enables simultaneous crystallization and agglomeration of two or more drugs or crystallization of a drug and its simultaneous agglomeration with another drug or excipient. ” The selected drug was characterized and identified by melting point SLty, partion coefficient, IR, DSC, XRD. and for analysis of drug uv spectroscopy is done . For crystal-co-agglomerates polymers and solvent system are selected and used with different concentration. Crystal-co-agglomerates are obtained with help of polymer, bridging liquid good solvent, bad solvent etc. Initial batches of crystal-co-agglomerates were obtained of different concentration of Peg6000 and pvpk30. SLty data was obtained in triplicate of preliminary batches. Optimization is done by applying 32 factorial design 9 batches where obtained and further evaluated SLty of it. Out of 9 optimized batches F9 batch was further used for study depending on SLty data. Crystal-co-agglomerate showed enhancement in physicochemical and micrometric properties. From the above optimized crystal-co-agglomerate batch Fast dissolving tablets were formulated by using various concentration of super-disintegrants by direct compression method and different batches were studied for DisL study and disintegration time. From above discussion it was concluded that Fast dissolving tablet were prepared by direct compression method exhibited disintegration time 42 sec and improved DisLrate
A Research on Online Grammar Checker System Based on Neural Network Model

Grammar error correction is one of the most important research fields in natural language processing, while grammar checker is the tool to help people correct grammatical error. We focus our work on researching a better approach to an online grammar checker system to help people correct the grammatical error in their text more precisely, user-friendly, and efficiently. This new method of online grammar checker system is based on neural network model, Transformer, and is able to detect about 25 different types of grammatical errors in the text. We did the evaluation on our new online grammar checker system, and the final experiment results proved that we have found a good approach to the online grammar checker system.
Evaluation of PETSc on a Heterogeneous Architecture, the OLCF Summit System: Part II - Basic Communication Performance

Nearest-neighbor communication is at the heart of many high-performance parallel computations. We report on the performance of such communication on the Oak Ridge Leadership Computing Facility system Summit in the context of the PETSc communication module. The analysis in this report includes basic Ping-Pong point-to-point communication and regular and irregular nearest-neighbor communication. We evaluated PETSc communication performance in these patterns. We also discussed various synchronization models when using GPU-aware MPI.
Structural Analysis of Orthorhombic ZrO2 by High Resolution Neutron Powder Diffraction

A time-of-flight neutron diffraction experiment was undertaken on a powder sample of orthorhombic ZrO2 synthesized at 600°C and 6GPa for 30min. The Rietveld analysis for the diffraction data shows that the space group of this phase is Pbca. The refined lattice parameters are a0=1.00861, b0=0.52615, and c0=0.50910nm.
Self-aggregates of hydrophobized polysaccharides in water. Formation and characteristics of nanoparticles

Solution properties in water of hydrophobized pullulan containing 1.6 cholesterol groups per 100 glucose units (CHP-55-1.6) were studied. SEC measurements show that CHP (1.0 mg/mL, 0.10 wt %) intermolecularly aggregates and provides relatively monodispersive particles upon ultrasonication. Spherical particles with relatively uniform size (the diameter, 25±5 nm) were observed in the negatively stained electron microscopy of the aqueous CHP solution. The hydrodynamic radius of the CHP self-aggregate was approximately 13 nm and the aggregation number was approximately 13.
Revision of Eulophia (Orchidaceae) in Nigeria, Cameroon, Equatorial Guinea, Gabon, and the Republic of the Congo

Background and aims – The genus Eulophia (Orchidaceae) is revised for Nigeria, Cameroon, Equatorial Guinea, Gabon, and the Republic of the Congo. The aims are: to present a morphological characterization of the main vegetative and reproductive features of Eulophia to clarify the delimitation of the taxa within the genus in the studied countries; to provide an updated identification key and an updated checklist of the genus with nomenclatural data, distribution maps, ecological information, and preliminary conservation status. This revision may serve as a basis for future studies of the genus in other regions of Africa. Material and methods – Relevant material kept in BM, BR, FHI, HBG, K, MA, P, and WAG was examined, using standard practices of herbarium taxonomy. Vegetative and reproductive structures were analysed. MapMaker was used to produce the distribution maps. Key results – A total of 24 species are recognised in the study area. The variability of perennating organs, leaves, sepals and petals, lip (including ornamentation), spur, and anther cap are described and depicted, and were found to be informative for species recognition. A taxonomic treatment is given with an identification key, synonymy, distribution maps, preliminary conservation status, and specimen citations. Eulophia galeoloides is neotypified, E. brevipetala, E. leonensis, E. penduliflora, and Lissochilus elatus are lectotypified. According to our study, we consider E. parvula a synonym of E. pyrophila. E. sordida is considered as a doubtful species in the study area.
Optimization of spectral pre‐processing for estimating soil condition on small farms

The concepts of soil security (especially relating to soil condition) provide a useful framework in building spectral libraries. Spectral libraries can be used with the purpose of assessing soil condition by measuring soil organic carbon (SOC) or increasing productivity through soil nutrient management. A spectral library was generated by measuring SOC and nutrients (nitrogen, phosphorous and potassium) and spectral reflectance data over the visible to near‐infrared range (350–2,500 nm) in soil samples collected from four production systems in Papua New Guinea (PNG). The spectral library was analysed using SpecOptim, a software tool developed at the James Hutton Institute to explore spectral pre‐processing and calibration options. From 192 model combinations of model, the best one was identified for each study area. Different combinations of data were also explored (e.g. by farm or all together). We believe that at the local‐scale, soil carbon and nitrogen variability can be captured; however, the spectrally inactive properties such as phosphorous and potassium need to have a higher variability and therefore pooling is required in order to predict properties chemometrically. The SpecOptim software is a useful tool where analysis of spectral data can be difficult to determine. Specifically, it helped improve the accuracy of predictions by 2% for C and N (except for East New Britain site) compared with previously used pre‐processing techniques and calibration models while automating identification of the optimal pre‐processing approach. We believe that we have developed research‐based evidence for using spectral libraries to fit with the soil priority areas of PNG.
Modified focusing as a contemplative pedagogy in an MSW research course

ABSTRACT Students working toward a Master’s of Social Work in Israeli colleges must complete a demanding research seminar course, a source of stress for many. Focusing is a contemplative practice that these and other students may use to self-regulate their emotions and better cope with the seminar course and beyond. This qualitative research assessed the impact of introducing a modified focusing approach to 17 MSW students enrolled in a research seminar course at a college in Northern Israel. Participants wrote individual reflections on their experience. Analysis revealed four main themes: turning inward, clear thinking, the body knows (a sense of knowledge), and practical application (a sense of efficacy). The results of this contemplative pedagogy suggest students who learn meditative methods of self-regulation, such as focusing, can shift rapidly from stressful states.
A data-driven parametric tool for under-specified LCA in the design phase

Life Cycle Assessment (LCA) is increasingly applied to evaluate the environmental performance of buildings. However, current tools for building LCA require detailed information not available in the decisive early design stages. As a result, LCA is usually applied as post-design evaluation and not used to improve the building design. The goal of this paper is to adapt the method of structured under-specified LCA to the Swiss context and implement it in a design-integrated tool. The users of the tool should be able to get a complete estimation of the life cycle impact based on very few inputs, such as building type, intended use and structural system. In addition, the tool should allow to replace these assumptions with more detailed information step by step throughout the design process. The paper describes the development of a structured database and a parametric tool. Furthermore, it exemplifies the intended workflow during the design process on a building design. The presented approach can be scaled up and adapted to the needs of other national contexts in the future. It facilitates environmental performance optimisation of buildings and supports making use of the big potential the building sector has regarding contributing towards climate action (UN SDG 13).
Evaluation of the Refractive Indices and their Wavelength Dispersion of Liquid Crystal by using Renormalized Transmission Ellipsometry

Renormalized Transmission Ellipsometry (RTE) was applied to a precise measurement of anisotropic refractive indices of nematic liquid crystals. It is quite important for the evaluation to use a monodomain cell with high quality. To realize the good alignment, the alignment film was coated. In this study, the influence of the alignment film thickness and its refractive indices on the accuracy of the measurement is reported. From the numerical analysis and several experiments, it is shown that if ne(λ) > no(λ)≈ nglass(λ) is satisfied and nglass(λ) is nearly equal to nal(λ), the evaluated results of no(λ) and ne(λ) are not influenced by the film thickness dal. From the results, RTE can be the powerfull tool to measure no(λ) and of ne(λ) for the LC substances with easy operation.
Molecular Modeling and Docking Studies of Some Benzodiazole Derivatives on the Protein of Staphylococcus aureus

In this work, molecular modeling and docking studies of antimicrobial heterocyclic compounds were carried out using Auto Dock. Docking studies were carried out for Benzodiazole derivatives to study their affinity to Cell wall anchored (CWA) protein of Staphylococcus aureus. The docking studies of the compounds showed binding energies ranging from -7 to -5 kcal/mol against clumping factor A (ClfA), a CWA protein of Staphylococcus aureus, [PDB file:1N67]. Molecular modeling and docking studies of Benzodiazole derivatives show that the main action of the compounds is inhibition of cell wall adhesion.
Genome-wide characterization of SPL gene family in Codonopsis pilosula reveals the novel roles of CpSPL2 and CpSPL10 in promoting the accumulation of secondary metabolites and growth of C. pilosula hairy root

Background SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) transcription factors play critical roles in regulating diverse aspects of plant growth and development, including vegetative phase change, plant architecture, anthocyanin accumulation, lateral root growth, etc. Codonopsis pilosula is a famous medicinal plant and its dried root, named Dangshen, is one of the most widely used traditional Chinese medicine. However, little information about SPL genes in this species has been reported. Results In the present study, 15 SPL genes were identified based on the genome data of Codonopsis pilosula. Ten of the 15 CpSPLs were predicted to be the targets of miR156. Phylogenetic analysis clustered CpSPLs into seven groups (G1-G7) along with 16 SPLs from Arabidopsis thaliana. CpSPLs in the same group share similar gene structure and conserved motif composition. Cis-acting elements responding to light, stress, and phytohormone widely exist in their promoter regions. Our qRT-PCR results indicated that 15 CpSPLs were differentially expressed in different tissues (root, stem, leaf, flower, and calyx), different developmental periods (1, 2 and 3 months after germination), and various conditions (NaCl, MeJA and ABA treatment). Compared with the control, overexpression of CpSPL2 or CpSPL10 significantly promoted not only the growth of hairy roots, but also the accumulation of total saponins and lobetyolin. Conclusions The SPL genes in the C. pilosula genome were identified and their expression patterns were analyzed. The novel roles of CpSPL2 and CpSPL10 in promoting the accumulation of secondary metabolites and growth of C. pilosula hairy root were revealed. Our results established a foundation for further investigation of CpSPLs and provided novel insights into their biological functions.
Autonomous VTOL-UAV Docking System for Heterogeneous Multirobot Team

Heterogeneous robot teams offer significant advantages for exploration and navigation missions in unknown environments. Notably, the air–ground robot teams have superior efficiency due to their mixed abilities and shared sensor resources useful when completing missions. However, the high energy consumption and reduced payload capability of the vertical take-off and landing (VTOL) aerial platforms limit the complete robot team’s behavior. At some point in a mission, the aircraft needs to return to the base, land, and replenish its batteries. This task restricts the team to explore the environment in-depth and to work for longer durations. To solve this problem, we present an autonomous system for docking a VTOL-unmanned aerial vehicles (UAVs) with a mobile manipulator. The central measurement-actuation unit consists of a robot manipulator mounted on a mobile platform with a visual sensor configured as an eye-in-hand device. The visual information is used to execute a stable UAV tracking to achieve air–ground robot contact firmly. This strategy allows the multirobot team to economize and potentially recover aircraft energy. It also enables the robust ground platform to protect and store the aircraft facilitating to continue the mission for a longer duration. The on-site autonomous docking can be initiated multiple times, allowing the team to explore larger areas and complete long-term missions. The proposed method has been tested in simulations and real environments with detailed experimental results.
Predicting Fake online Reviews using Machine Learning Models

: Online reviews are very important in decision making of customer whether to purchase a product or service. These are main source of information getting from the past customer experience about the features of that service which we are going to purchase. Now a days’ Internet is no longer use only for communication purpose. Its use is spread over wide variety of applications’ and E-Commerce is one of them. The most important part in e-commerce, from consumer perspective is, the reviews associated with products. Most of the people do their decision making, based on these online reviews about products or services. These reviews not only help user to know the product or service thoroughly but also affect user’s decision making ability to a great extent and also divert the sentiments about the product positively or negatively. As a result, there have been attempts made, to change the product sentiments positively or negatively by manipulating the online reviews artificially to gain the business benefits. Ultimately, affect the genuine business experience of the user. Therefore in this paper, we have dealt with this particular problem of ecommerce field, specifically online reviews’ in particular and sentiment analysis domain as a whole, in general. This paper introduces some machine learning techniques like Support Vector Machine and Random Forests for sentiment classification of reviews and to detect fake online reviews using the data set of a Hotel reviews. Sentiment Analysis has become most interesting in analysis of text. Using sentiment analysis we can separate negative and positive reviews as well. This paper introduces some semi-supervised and supervised text mining models to detect fake online reviews as well as compares the efficiency of both techniques on dataset containing hotel reviews .
Towards BPM@Runtime

Producing software to manage Business Processes (BP) in Information Systems (IS) requires considerable effort and time. This paper describes a software component that uses a Model-Driven Engineering (MDE) approach to support BP management in IS into the context of an IS application framework. The BP Manager component allows the deﬁnition of BP models using a high-level language, that is integrated with others framework components to generate the IS applications. This component has important improvements compared to other BP management tools, such as support for collaborative modeling and support for the execution of empirical and ad hoc processes. Furthermore, the integration of the BP management component into the framework brings signiﬁcant increases in productivity of IS software development and maintenance.