bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploration of bacteria and analysis of alcohol concentration in pongasi a tolaki’s typical alcoholic beverage
Authors: Fusvita Angriani , Susanti  , Sernita  , Firdayanti  , Idris Sri Aprilianti 
Published: July 2021

Abstract
Pongasi is a typical traditional drink of Tolakinese made from fermented cooked rice with yeast. The present study explores the types of bacteria and analyzes the alcohol concentration of Pongasi drinks. It is an experimental research that explore the sample of pongasi from one of home-industry factory, isolation and bacterial inoculation on NA (Nutrient Agar) media, Gram staining, biochemical testing on the Vitek 2 Compact Systems, measuring the alcohol concentration of the distillation method, and beverage sensitive test Pongasi with bacteria that have been isolated using MHA (Mueller Hinton Agar) media. The results suggest in the sample of Pongasi were white, round, and Gram positive bacteria colonies. The results of identification and biochemical tests showed that 91% were Staphylococcus carnosus bacteria. The results of alcohol analysis indicate that fermentation 2 has a percentage of alcohol concentration at 0.8%, fermentation 3 at 8.2%, and fermentation 4 at 21%. The three treatment groups were continued with a sensitivity test with three repetitions, and the average area of inhibition obtained in each treatment group was fermentation 2 at 9.05 mm, fermentation 3 at 12.12 mm, fermentation 4 at 12.14 mm.
Effect of Rhodamine b Against The Number of Primary Follicles in White Rats (Rattus norvegicus)
Authors: Rohmawati Huda , Fitriasnani Meirna Eka , Purnani Weni Tri , Dewi Rahma Kusuma 
Published: July 2021

Abstract
Rhodamine b is misused as a food coloring. Excessive use is certainly harmful to health. The purpose of this study proves that Rhodamine b can reduce the number of primary follicles in the ovaries of white rats. The design of this study is true experimental with Post Test only control group design. Sample in the research used were female white rats (Rattus norvegicus) aged 2-3 months with a bodyweight of 150-250 grams in the amount of 10 animals which were divided into 2 groups: negative control group, positive control group. Rhodamine b is given for 36 days at a dose of 18 mg / 200 gr orally. The number of primary follicles is calculated by HE staining. Data were analyzed and conducted One Way Anova test. The results showed that the administration of Rhodamine b significantly reduced the number of primary follicles in the ovaries of white rats. This is because rhodamine b is capable of binding with halogen compounds which are reactive so that it can damage cells. Based on the results of the analysis showed that Rhodamine b can reduce the number of primary follicles in the ovaries of the white rat.
SEIRI Model analysis using the mathematical graph as a solution for Hepatitis B disease in Makassar
Authors: Side S , Abdy M , Arwadi F , Sanusi W 
Published: July 2021

Abstract
The research objective were to build a mathematical model for Hepatitis B; Determine and analyse the equilibrium point of the model; Conduct a model simulation to predict the number of Hepatitis B cases and determine the solution for the spread of Hepatitis B in Makassar City. This research stage examines and builds a mathematical model on the spread of Hepatitis B which is a Susceptible-Exposed-Infected-Recovered-Infected (SEIRI) model; analysis of SEIRI model in Hepatitis B using mathematical Graph method; Model simulation using Maple Software with data assuming the number of Hepatitis B cases, then perform further analysis of the model. The result obtained is the SEIRI model for the spread of Hepatitis B, which is a non-linear differential equation model with 4 dimensions. Mathematical graph is used to determine the status of Hepatitis B, which is a disease-free or endemic case.
The controllability of linear descriptor systems using direct methods
Authors: Arman  , Muhtar Norma , Eso Rosliana , Raya Rasas 
Published: July 2021

Abstract
In this paper, the controllability of linear descriptor systems is investigated by using a direct approach. This approach is based on viewing the system as a whole. In general method, the system is first decomposed into two subsystems in the canonical form. Then, these subsystems are dealt with separately. However, in this paper, we developed the system generally not viewed separately. Then, we derived the structure of controllable subspaces for linear descriptor systems. From these results, we can state the definition of a controllable matrix and then we investigated the properties of the linear descriptor systems related to the controllability matrices by using geometric term.
Advanced flood severity detection using ensemble learning models
Authors: Nandhini A. Sunitha , Balakrishna J , Manikandan R Bala , Bharath Kumar S 
Published: July 2021

Abstract
On the life of human beings and financial development of the nation, the phenomenon of River flooding has its catastrophic effects. There are various approaches in finding out watercourse flooding but depleted understanding and restricted information regarding flooding conditions hinder the management estimates this particular phenomenon. The ensemble model approach has been used in this paper. (i.e. the combination of Multilayer layer perceptron model (MLP) + K-Means Clustering (KMC)) for flood severity prediction. Our ensemble way can support the modern and recent growth and development inside the IoT (IoT stands for Internet of things), with the help of some tools such as smart sensors, RFID and learning based on machine for the prediction of flood severity and its automatic analysis and it is expected to help human beings and can be a useful rescue from such kind of natural disasters. Analysis outcome indicate that ensemble model is more reliable to predict flood severity. The experimental output shows that by the usage of ensemble learning along with Multilayer Perceptron (MLP) model, Particle Swarm Optimization (PSO), K-Means Clustering, Long-Short Term Memory and Random Forest Classifier will produce an optimized result and also with greater accuracy.
Triangular fuzzy numbers model with cost parameters
Authors: Vasanthi P , Ranganayaki S , Kasthuri R 
Published: July 2021

Abstract
The scope of our research work is to analyzea purchasing model in which the uncontrolled variables are fuzzified. The fuzzy cost parameters are defuzzified and an optimal solution of the ordering quantity, maximum inventory and annual cost are estimated. Numerical example and sensitivity analysis has been done to explain the mathematical model.
A Hybrid Model to Ensure Biosecurity during Pandemic Situations Using OpenCV
Authors: Kausar Syeda Arbeena , Roopa K , Arakalgud Kaushik S , Anupama B C 
Published: July 2021

Abstract
This paper presents a hybrid model consisting of hardware, software subsystems and publicly available trained feature sets. The developed hybrid model is useful in automated contactless collection and analysis of employees’ and visitors’ data in an organization especially during pandemic situations to ensure biosecurity. Such data include temperature and face mask status. If the set norms are not satisfied, the entry into the premises will be restricted or denied. The status is also updated in the corresponding record in the organization database. The hardware subsystem includes an arduino nano, sensors and audio visual alarms. The software subsystem was developed using OpenCV in Python and VSCode editor. Both offline and real time implementations were carried out. The model was validated using real time images and online data sources. The system was tested and found to work satisfactorily under practical input conditions.
The applying software programs, for technological design, and simulation of the casting process, in optimizing the technology of making castings
Authors: Tudor B D , Bordei M 
Published: July 2021

Abstract
The optimization of the solidification of the cast parts is based on the exact knowledge of the solidification mode of the part. The only solution for the rapid, and low-cost, optimization of technological problems related to the solidification of castings is the computer simulation of solidification. The solidification of castings from metal alloys is a complex physico - chemical process, which has a great influence on the quality of castings. The optimization of the solidification process of the castings has a direct influence on the consumption of liquid alloy, labor and energy. This is explained by the reduction of the percentage of waste and specific consumption. In these paper, the programs applied for optimizing the technology for making the landmark are MAGMA and Click2Cast.
Cellularization of small sized grafts from biological material using the gravitational modality principle
Authors: Cobzac V , Jian M , Nacu V 
Published: July 2021

AbstractThe research aims to present an improved cellularization process of small sized grafts obtained from biological materials through utilisation of gravitational modality principle. The obvious problem of the biological materials cellularization process, is failure in instant absorption of poured cellular suspension, as a result it leads to cells loss because of suspension spreading through the used dishes, which is especially characteristic for small sized materials. For transplantation were cellularized grafts obtained from biological materials of 44,31mm3±2,72mm3, with chondrocytes (n=18) and mesenchymal stem cells (MSC) (n=20). With chondrocytes in a well of 96-well microplates (Mp96) were cellularized 7 grafts with 2.8x106±2.38x105cells/graft and in DFCSSG –11 grafts with 2.87x106±3x105cells/graft (p˃0.5). With MSC in Mp96 were cellularized 8 grafts with 1.29x106±2x105cells/graft and in DFCSSG –12 grafts with 1.41x106±3.29x105cells/graft (p˃0.1). All cellularized grafts were held in incubator at 37°C, 5%CO2for 70±12 minutes and transplanted. Then, all Eppendorf tubes, DFCSSGs and Mp96 were washed from cells, which were counted with Hemocytometer with Trypan blue exclusion. As a result, utilisation of DFCSSG increased cellularization rate of grafts by 36.39±2.63% (p˂0.001). A difference between cells viability depending on devices for grafts cellularization (Mp96 =90.73%±2.54%, DFCSSG =89.41%±4.40%), is absent (p˃0.5).
Carbon nanotubes and Engelhard titanium silicates as eco-friendly adsorbent materials: A short review
Authors: De Luca P , Candamano S 
Published: July 2021

Abstract
The present work aims to give a general overview of two important adsorbent materials: Carbon Nanotubes and Engelhard Titanium Silicates. Both are advantageously used for water purification and thanks to their peculiar properties they can be used in different sectors. In this paper are reported the characteristics and properties of each single adsorbent material. Particular attention is paid to the latest studies reported in the literature regarding their application and specificities in the different environmental fields.
A rapid NMR-based approach for the direct determination of lipid oxidation metabolites in dry fermented cured Italian sausages containing α-tocopherol
Authors: Siciliano C 
Published: July 2021

AbstractThe research investigates and demonstrates the potential of the high resolution NMR analysis as a powerful, simple and rapid analytical method to study the extent of lipid oxidation in Italian dry-cured pork sausages containing α-tocopherol. The inclusion of this natural antioxidant additive in the meat products case of study, at levels of 40 mg/Kg and during the manufacturing, considerably increased the resistance to oxidative processes of the total lipid fraction. The effects of adding the natural antioxidant on the lipid oxidation was investigated by proton high-resolution nuclear magnetic resonance (1H HR-NMR) spectroscopy, in dry-cured sausages during storage under vacuum, at 4 °C for 160 days. Higher inhibition of lipid oxidation was observed on the basis of the determination of fatty acid acyl chain profiles in total lipid extracts (TLEs) obtained from sausages, according to a well-known model previously published. In particular, profiles of primary and secondary lipid oxidation products were established, and related to the variation of n-3 fatty acid acyl chains. Lowering of the initial amount of α-tocopherol was also observed on the basis of the variation of the intensities of detectable peaks generated by the resonances of protons present in the molecular structure of the natural antioxidant. The collected results demonstrated the enormous potential of the 1H HR-NMR spectroscopy in investigating the chemical composition of lipids as a meat product shelf-life parameter. Moreover, the findings showed that the application of the selected amount of α-tocopherol was sufficient to decrease lipid oxidation in dry-cured pork sausages, confirming the known properties of this natural antioxidant as a curing agent, as already proved by its use in other different series of fresh and dry-cured chicken sausages, pork salami and fish meat products, especially if fermentation with a nitrate-reducing starter culture is desired
MALDI MS/MS study of As(III) complexes with glutathione, glutathione disulphide and other ligands
Authors: Napoli A 
Published: July 2021

Abstract
The formation of complexes between As(III) and two redox couples GSH/GSSG, Cys/Cyst, and Cyt c, was evaluated by MALDI MS and MS/MS. Structural elucidation of complexes is reported, and the redox properties are discussed. Particular attention was addressed to the gas-phase ion chemistry of high molecular weight species (i.e., [As(GSH)4]+). The formation of the oxidized ligand from complexes where a thiol free group is present, gives evidence on an intramolecular redox process initiated by a laser induced oxidation step. MS/MS experiments also demonstrated that GSSG, Cyst and Cyt c act as bidentate ligands, determining the formation of cyclic structures.
Innovative miniaturized approach by MicroNIR and chemometrics for the monitoring of the occupational exposure of workers
Authors: Gullifa G , Risoluti R 
Published: July 2021

Abstract
The study focuses on the monitoring of the cladribine exposure during production of pharmaceutical ingredients by a novel first level test based on microNIR spectroscopy for the monitoring of the worker’s exposure to drugs. The method permits to perform the analyses directly onsite and online as it is portable and miniaturized and record data in wireless mode. The calibration of the response was performed by considering filter membrane fortified with increasing amount of cladribine to reproduce real samples. All the signals were processed by chemometrics and a model of prediction was finally developed to predict unknown samples. Gas chromatography was used to compare the results from a reference technique with the ones from the novel method, obtaining a satisfactory correlation of 0.9989.
Hydrogen energy in Russia - industrial waste gases utilization potential
Authors: Kiseleva S , Tarasenko A , Shakun V , Agarkov D 
Published: July 2021

Abstract
Hydrogen is supposed to be prospective energy carrier and even commercial product for the nearest future. One of the hydrogen energy main problems is hydrogen production problem with high energy consumption in electrolysis case and CO/CO2 co-production in case of steam hydrocarbon reforming. At the same time several branches of industry are able to produce hydrogen as a by-product with different purity degree. Sodium and chlorine production plants can be a source of high-purity hydrogen. Low-purity hydrogen can be obtained from digester and sewage gas. In both cases there is economic interest to energy production from such hydrogen or its introduction into natural gas pipelines. Technical potential of such hydrogen source in Russia has been briefly estimated in case of fuel cells usage. Resource potential visualization maps have been created.
PV panels application for water boilers
Authors: Kiseleva S , Suleymanov M , Tarasenko A 
Published: July 2021

Abstract
PV panels price decrease with average efficiency growth is a stable trend for modern solar energy technologies. In these conditions several companies proposed control systems for solar water heating, substituting solar collectors by PV panels. Advantages and disadvantages for such scheme application in Russian conditions are discussed in this paper. Results of PV water heater experimental testing in Moscow climate conditions and numerical simulation of collector versus PV panels in several Russian region are also given, as the development of earlier economic estimations. Both maximum power point tracking (MPPT) PV array control scheme and array with constant load discharge have been tested. MPPT revealed better efficiency, but special controller without battery application is needed.
Phosphate coatings for the protection of steels reinforcement for concrete
Authors: Lazar P , Bejinariu C , Cazac A M , Sandu A V , Bernevig M A , Burduhos-Nergis D P 
Published: July 2021

Abstract
Concrete and reinforced concrete are the most popular and safest building materials today. The concrete and its steel reinforcements work together to withstand to complex operating stresses. Accordingly, while the steel reinforcement resists very well to tensile forces, the concrete structure will successfully resist to significant compression efforts. According to the concrete manufacturers, under optimal conditions, the durability of this composite material is almost infinite. However, when poor quality concrete, with structural defects, is subjected to certain environmental conditions (rain, ice or air chemicals), its integrity can be severely affected, consequently, its mechanical properties will decrease. Usually, the concrete protects the steel used as reinforcement, but there are specific situations in which its protective and anticorrosive properties are very limited. Thus, the properties of reinforced concrete decrease, endangering the structure of the concrete buildings. This article aims to provide a compressive review regarding the methods used to protect the reinforcement steel against corrosion. Moreover, one of the most widely used methods will be emphasized, namely phosphating, which in addition to improving the corrosion resistance properties, it also supports the adhesion between steel and concrete.
Air pollution reducer using cluster corona electric field net
Authors: Ketkaew S 
Published: July 2021

Abstract
This research paper presents the air pollution reducer using cluster corona electric field net on principle of high frequency plasma process, high voltage adjusting technique and efficiency filter. The switching power supply circuit based on small inverter comprises of HF pulse generator using IC number 3526 for the high voltage adjustment at 1.8 kV, 2.9 kV, 3.5 kV, 3.9 kV and 4.1 kV under frequency adjustment at 10 kHz, 11 kHz, 12 kHz, 17 kHz and 22 kHz, respectively, and IC maker was used as a ground isolator and signal expanding for Power MOSFET#IRFP450 driving to control high voltage of high frequency transformer to generate 1.8 kV, 2.9 kV, 3.5 kV, 3.9 kV and 4.1 kV to electric field net cell (cell eliminate toxic gases) for produce ozone. The results are high frequency adjusting of high voltage at 1.8 kV equal to 10 kHz, 2.9 kV equal to 11 kHz, 3.5 kV equal to 12 kHz, 3.9 kV equal to 17 kHz and 4.1 kV equal to 22 kHz which the testing of ozone measuring will observation at high voltage equal 1.8 kV enables produce ozone 1.28 ppm, 2.9 kV enables produce ozone 1.56 ppm, 3.5 kV enables produce ozone 2.35 ppm, 3.9 kV enables produce ozone 2.61 ppm and 4.1 kV enables produce ozone 2.73 ppm. As the ozone content increases, the benzene and carbon monoxide levels decrease accordingly and can be used in the photocopying, printing, laminating and baking rooms covering an area of 200 square meters. Air pollution reducer can capture dust particles of PM2.5 size and has a dust extraction efficiency of 97.16 % by using a particulate meter which has passed the Electromagnetic Compatibility Standard Analysis (EMC Testing), the Power Consumption Analysis Test, and the Electric Leakage Safety Usage Analysis Test. are completed. Testing at the test room of electrical and electronic products testing center (PTEC), NSTDA, Thailand. Therefore, this research was funded activities to promote and support research of the Ministry of Higher Education, Science, Research and Innovation from the Department of Ramkhamhaeng University, fiscal year 2021 and can be developed into commercial innovations in the future.
Possibilities for the recovery of sludge from municipal wastewater treatment plants through the design and production of concrete
Authors: Corbu O , Smical I , Micle V , Sandu I G 
Published: July 2021

Abstract
The main objective of the present research was the design and realization of a concrete recipe of resistance class C16/20, based on the incorporation in the form of addition of sludge from the treatment plant of Baia-Mare City, Maramureș County, Romania. Until now, this type of sludge has been used on agricultural land as fertilizer. What makes it reshaping its use in construction materials is that this sludge contains in addition organic elements and hazardous heavy metals that can be retained in the matrix of the concrete mixture. Thus, based on the experience of making mixtures of cathode glass with Pb, from the recycling of old monitors, it was observed that that the migration in time of Pb from the matrix of the material was below the limit imposed by current legislation. Failure to recover this sludge leads to long-term storage on large surfaces of land that will be contaminated or it will have to be stored on concrete or packed platforms, situation which increases the cost of disposal. The paper will present methods and results obtained in the research, which support the use of sludge from sewage treatment plants in dry granular form for strength concrete class C16/20 obtaining but with limited applicability. The final objective of the research is to provide a new alternative solution for the disposal and recovery of this hazardous waste.
Eggshell Powder (ESP) as low-cost adsorbent for wastewater treatment
Authors: Arshad M F , Zailani W W A , Ismail N , A Zainol M R R M , Abdullah M M A B , Tahir M F M 
Published: July 2021

Abstract
Filtration is the process where the solid particles are separated from the solution by passing it through porous pores. This process always comes together with the adsorption method and it depends on the type of filter media being used. Currently, activated carbon, zeolite and sand are widely used in treating wastewater influent. However, the increasing demands and materials cost had encouraged various approaches in finding solutions to replace the current filter media. Therefore, eggshell waste is introduced in this study as a replacement material for zeolite to treat wastewater impurities. The usage of eggshell waste as a new filter media is more beneficial which represents a low cost, renewable, available and sustainable approaches. Thus, this study revealed the optimum proportion of Eggshell Powder (ESP) as a filter media for wastewater treatment. The amount of eggshell used varies from 20%, 40%, 60% and 80% labelled as S3a, S3b, S3c and S3d respectively. The parameters examined were BOD, COD, SS, turbidity, colour, NH3-N, NO3-N, Fe and pH. This study had found that the most efficient filter media to replace zeolite is S80 media. S3d media was able to remove almost all the examined parameters with high percentage removal range between 40% to 90% removal. As a conclusion, this study hopes that by utilizing an industrial waste as a low-cost adsorbent, the environmental ecosystem can be protected for the sake of next generations.