bluuebunny/crossref_metadata_2025_split huggingface dataset:
Water Quality and Its Relationship to Tides and Ebbs on the Sail River, Pekanbaru City, Riau Province, Indonesia
Authors: Yuliati Y , Sumiarsih E , Efawani  , Fauzi M , Suryo G 
Published: December 2021

Abstract
The Sail River flows through the Pekanbaru City area which functions as a hydrological reservoir and main drainage channel. This river is affected by tides. Development along the Sail River Basin may affects the aquatic ecosystems. The research was conducted to determine the quality of the Sail River water and how it relates to the tides. Sampling was carried out two times during June-July 2021 in high and low tide conditions. The water quality parameters measured were temperature, TSS, pH, dissolved oxygen, BOD, COD, oil and fat, and Pb metal. Results showed that the temperature, COD, and Pb were significantly different at high tide and low tide conditions. On the other hand, during low and high tides condition, the value of TSS, pH, dissolved oxygen, BOD, oil, and fat were not significantly different. Dissolved oxygen levels during high and low tide ranged from 2.00 -3.00 mg/l and 1.00 -1.70 mg/l respectively. The Pb content during high and low tides ranged from 0.12-0.16 mg/l. In the present study, the values of dissolved oxygen and Pb content does not meet the water quality standards of Government Regulation No. 22/2021 (Class III).
Clustering Lakes in Kampar by Using Morphometry Data and Machine Learning Analysis
Authors: Hendrizal A , Plaimo P E , Harjoyudanto Y , Fauzi M 
Published: December 2021

Abstract
Lakes have an important role in hydrological and biochemical cycle. It also has some other crucial role such as domestic and industrial water use as well as irigation. The monitoring and management of this aquatic resources is crucial. But with many numbers of lakes, it is very challenging to manage them all. Clustering lakes can provide the answer so the management of the same cluster lakes may be done efficiently. Within this study, morphometry data of 6 lakes in Kampar Regency, Riau Province, were analyzed by using one of artificial intelligence branch which is machine learning. Morphometrical data are collected by using information geographic system. These data then categorized by using python language. This categorization based on data mining categorization algorithm named K-means. Based on the K-means machine learning clustering, the optimum cluster based on Elbow methid is k=3. But there is a possibility to look around for k=2. Based on K=3, cluster 3 is defined as the lowest values of all atribute. Based on k=2, the lowest value of morphometry data wiil be in the cluster 1.. These data will not only provide basic data such as total area, shape, width and length, but also help to understand the large scale hydrological models.
Acceleration of Sago Food Diversification in Improving the Welfare of Sago Farmers in Riau Province
Authors: Pramana A , Adhianata H , Zamaya Y , Nopiani Y , Alvionita P 
Published: December 2021

Abstract
There have been many efforts to increase agricultural productivity as a step to improve farmers’ welfare, one of which is through food diversification. Processing sago into various kinds of processed food products is a strategic to accelerate sago diversification. The market potential for sago starch in Riau Province is quite growing along with the local food products development. The purpose of this study was to analyze practical steps as an acceleration of sago food diversification so that opportunities could be identified in improving the welfare of sago farmers in Riau Province. This study used a survey method through interviews and direct observation regarding raw materials and processing methods for sago-based food products and the development of sago diversification products. As a support, secondary data is used through documents and reports related to local processed food in Riau Province, nutritional aspects, community and farmer empowerment, as well as increasing added value of products as supporting economic aspects. It was analyzed through a comparison between the increase in population and the potential for sago production. The existing diversified sago food products have good consumer acceptance and nutritional aspects.
Adsorption of chromium (VI) ion using zeolite NaA/Fe3O4 composite derived from rice husk ash
Authors: Ngoc Mai Ngo Truong , Anh Thu Nguyen Thi , Bao Trang Ngo Truong , Phu Pham Quoc , Hong Thien Doan Van , Vu Thanh Luong Huynh , Ngoc Hanh Cao Luu 
Published: December 2021

Abstract
In this study, zeolite NaA was fabricated from rice husk ash before combining with Fe3O4 to form a magnetic NaA/Fe3O4 composite. NaA/Fe3O4 composite was characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), field emission scanning electron microscopy (FE-SEM), energy dispersive X-ray spectroscopy (EDX), and Brunauer Emmett Teller (BET). The surface area and the pore size of zeolite NaA/Fe3O4 was 24.11 m2.g−1 and 23.04 Å. In addition, batch adsorption studies were carried out for the removal of chromium (VI) ion in aqueous solution. The effects of adsorption parameters, including pH solution, initial concentration of Cr (VI) ions, mass of adsorbent, and contact time were investigated. The maximum equilibrium adsorption capacity of zeolite NaA and NaA/Fe3O4 was 22.554 mg.g−1 and 13.722 mg.g−1, respectively. The pseudo-first order kinetic model fitted well to the experimental data. The regeneration of the adsorbent was also investigated for three cycles.
Facile preparation of lotus seedpod-derived magnetic porous carbon for catalytic oxidation of Ponceau 4R
Authors: Nguyen Minh-Hung , Nguyen Thi-Linh , Nguyen Thi-Kim-Linh , Lam Hoa-Hung , Tran-Thuy Tuyet-Mai , Nguyen Quang-Long , Nguyen Van-Dung 
Published: December 2021

AbstractIn this research, magnetic porous carbon was directly synthesized through one-step pyrolysis of FeCl3– lotus seedpod mixture. Properties of the obtained material were analysed by X-ray powder diffraction, SEM image, nitrogen adsorption isotherm and vibrating sample magnetometer. The results showed that magnetic Fe3O4particles were successfully formed over material template in 1 hour. The magnetic porous carbon possessed the specific magnetization of 7.13 emu/g, high specific surface area of 288 m2/g and total pore volume of 0.18 cm3/g. The material was subsequently applied as a potential catalyst for Ponceau 4R degradation by H2O2. Parameters including pH, H2O2concentration, and different types of catalysts were investigated. At pH 3, 200 ppm H2O2, and 0.40 g/L magnetic porous carbon, 83% Ponceau 4R 50 ppm was removed after 120 minutes treatment. Moreover, the catalyst powders were separated from the treated mixture easily by a magnet. Summarily, magnetic porous carbon can promise to be an efficient catalyst in decomposition of Ponceau 4R.
A Study of Cordierite Ceramics Synthesis From domestic kaolin
Authors: Tuan Kim , Phong Dinh Huu , Lam Minh Tam , Nguyen Viet Thai , Le Minh-Vien , Luan Van Hoang 
Published: December 2021

Abstract
This work aims to study the effect of chlorine ion on the formation of the cordierite phase (2MgO.2Al2O3.5SiO2) from domestic kaolin at various calcined temperatures.. The cordierite phase was synthesized by a solid-state reaction technique from the mixture of kaolin, aluminum nitrate nonahydrate (Al(NO3)3.9H2O), and magnesium chloride hexahydrate (MgCl2.6H2O) which was designed to the stoichiometric composition of cordierite in the absence and presence of chlorine ion (NH4Cl). The structure and formation of cordierite phase were characterized by X-ray diffraction (XRD) and thermogravimetric - differential thermal analysis (TG-DSC). Phase composition of samples calcined at various temperatures was calculated by using Match! (Version 3.7.0) software. It is noteworthy that the presence of chlorine ion in the mixture declined the formation temperature of cordierite by 50 °C. The cordierite phase was calculated to be 61.3 wt.% and 5.5 wt.% at 1150 °C for the present and absent chlorine ion, respectively. The presence of chlorine ion affected the cordierite formation rate and suppressed the temperature of formation. Cordierite phase could be obtained up to 89.6 wt.% at 1250 °C and 30 wt.% NH4Cl. This investigation found that cordierite ceramic could be synthesized from domestic kaolin at lower temperature by using NH4Cl additive.
Defluoridation of water by Ce-Ti hybrid oxide nanoparticles
Authors: Dang-Bao Trung , Lam Hoa-Hung , Dang Thi-Hoai-Linh 
Published: December 2021

Abstract
In the present work, Ce-Ti and Ce-Ti/Fe3O4 hybrid oxides were prepared by co-precipitation method and then characterized by X-ray diffraction (XRD), inductively coupled plasma atomic emission spectroscopy (ICP-AES) and scanning electron microscope (SEM) techniques. The nano-adsorbents were applied to remove fluoride (with the concentration range of 10–30 mg L−1) from aqueous solution, reaching the adsorption equilibrium within 30–60 minutes. Practically, the fluoride removal onto both nanomaterials was efficient at the neutral pH (pH 5–7) and obeyed the Langmuir adsorption isotherm with the maximum adsorption capacities of 22.78 mg g–1 (Ce-Ti) and 20.28 mg g–1 (Ce-Ti/Fe3O4) at room temperature.
Activation of ordered mesoporous carbon nitride prepared via soft-template for CO2 adsorption
Authors: Nguyen Van-Dung , Nguyen Thi-Thanh-Tuyen , Tran-Thuy Tuyet-Mai , Lam Hoa-Hung , Nguyen Quang-Long 
Published: December 2021

Abstract
A mesoporous carbon nitride material (MCN) was nanocasted by using a soft-template of triblock surfactant Pluronic F127, a carbon resource from resol and dicyandiamide (DCDA) as a nitrogen precursor. The obtained MCN was activated to improve its porous channel (AMCN). A reference sample of mesoporous carbon (MC) material was also prepared in the same protocol without DCDA. The tunable mesostructures (p6m symmetry) was proved by X-ray diffraction, transmission electron microscopy images and nitrogen adsorption-desorption isotherms. Fourier transformation infrared spectroscopy and energy dispersive X-ray spectroscopy presented about 3.1 wt% of doped-nitrogen in the obtained MCN. In comparison to the MC, a significant increase of BET surface area (333 m2/g for MC, 414 m2/g for MCN and 951 m2/g for AMCN) and an enlargement of pore volume (0.23 cm3/g for MC, 0.25 cm3/g for MCN and 0.33 cm3/g for AMCN), which contributed to a noticeable enhancement of the room temperature CO2 uptake from 1.8 mmol/g (for MC) to 3.7 mmol/g (for MCN) and 4.1 mmol/g (for AMCN). This work emphasized that the assistance of DCDA and further activation resulted in enlargement of both pore volume and BET surface area promising a feasible application of MCN and AMCN in adsorption technology.
Identification of multi-antibiotic resistant bacteria isolated from Vietnamese climbing perch (Anabas testudineus) on fish farms in Ho Chi Minh City, Vietnam
Authors: Nguyen Thanh Luan , Tran Kien Cuong , Thi Thu Nha Nguyen , Nguyen Lan Phan-Hoang , Thi Nga Tran , Ngan Huyen Mai Thi , Pham Minh Quan , Tran Quoc Toan , Pham Quoc Long , Bach Long Giang , Thi Hai Ha Pham 
Published: December 2021

Abstract
Climbing perch (Anabas testudineus) is considered a cultured species with high economic value and is widely distributed in several Asian countries, including Vietnam. In climbing perch aquaculture, antibiotic and antibacterial agents have been overused, leading to the emergence of antibiotic-resistant bacteria or genes in the aquatic environment as well as in the seafood products. These antibiotic-resistant bacteria and/or genes can then be spread to human through the food chain, generating detrimental consequences for public health and environment. In this study, 14 bacterial strains were isolated from Vietnamese climbing perch collected from various fish farms in Ho Chi Minh City which possess abnormal symptoms on the outside and in their organs. These bacterial strains were then subjected to several biochemical tests to characterize their colony morphologies. Besides, gene sequencing was performed and as compared to the 16S rRNA, 4 bacterial strains were identified with a high percentage in similarity, including Pseudomonas aeruginosa (99.7%), Aeromonas caviae (99.93%), Kosakonia sacchari (100%), and Edwardsiella ictaluri (99.44%). Additionally, these bacteria showed high levels of antibiotic resistance against beta-lactam, tetracycline, and others. Taken together, these results showed that the four identified bacterial strains isolated from Vietnamese climbing perch circulated in fish farms in Ho Chi Minh City. Their current status of multi-antibiotic resistance indicates further alternative sources of antimicrobial agents, for example, natural compounds, to overcome antibiotic resistance. It is then crucial to identify fish diseases, the associated pathogens, and the new alternatives for antibiotics to protect aquatic ecosystems and water resources.
Towards ergonomics working - machine learning algorithms and musculoskeletal modeling
Authors: Suess Franz , Melzner Maximilian , Dendorfer Sebastian 
Published: December 2021

Abstract
Ergonomic workplaces lead to fewer work-related musculoskeletal disorders and thus fewer sick days. There are various guidelines to help avoid harmful situations. However, these recommendations are often rather crude and often neglect the complex interaction of biomechanical loading and psychological stress. This study investigates whether machine learning algorithms can be used to predict mechanical and stress-related muscle activity for a standardized motion. For this purpose, experimental data were collected for trunk movement with and without additional psychological stress. Two different algorithms (XGBoost and TensorFlow) were used to model the experimental data. XGBoost in particular predicted the results very well. By combining it with musculoskeletal models, the method shown here can be used for workplace analysis but also for the development of real-time feedback systems in real workplace environments.
Wood Surface Roughness Prediction Modeling Depending on Influential Cutting Variables
Authors: Hodžić Atif , Aldžić Elmasa , Hodžić Damir 
Published: December 2021

Abstract
Paper presents the design of experiment and determining mathematical model to calculate roughness parameter of wood planned surface. For design of experiment three different types of solid wood were taken and processed on the planner with three different displacements and three different cutting speeds. After measuring the roughness parameter Rz, experimental results were obtained on the basis of which the central composite plan of the experiment was made. Based on that, a model of roughness parameter Rz was made, which is adequate and with high accuracy. The significance of the model coefficients was determined using the R software and the results were presented using the Design Expert software.
Computing the heat flux required for warming up of frozen wooden prisms for veneer production in the beginning of their autoclave steaming
Authors: Deliiski Nencho , Angelski Dimitar 
Published: December 2021

Abstract
An approach for computing the heat flux required for warming up of frozen wooden prisms in the regimes for their autoclave steaming at limited heat power of the steam generator, depending on the dimensions of the prisms cross section, wood moisture content, and loading level of the autoclave has been suggested. The approach is based on the use of two personal mathematical models: 2D non-linear model of the temperature distribution in subjected to steaming frozen wooden prisms and model of the non-stationary heat balance of autoclaves for steaming wood materials. For numerical solving of the models and practical application of the suggested approach, a software program was prepared in the calculation environment of Visual FORTRAN Professional developed by Microsoft. Using this program computation and research of the non-stationary change of the processing medium temperature and heat fluxes in an autoclave with a diameter of 2.4 m, length of 9.0 m and loading level of 50% at a limited heat power of the steam generator, equal to 500 kW during the initial part of the steaming in it of frozen beech prisms with different moisture content have been carried out. The suggested approach can be used for computing and model based automatic realization of energy efficient optimized regimes for autoclave steaming of different wood materials.
Researching the change in the weight of split oak firewood due to different drying methods
Authors: Gačo Amina 
Published: December 2021

Abstract
In this paper, the influences of stacking methods and drying places of split oak firewood in winter conditions (Quercus cerris) have been experimentally and theoretically investigated, due to the great importance of use in heating with such wood. The research was conducted on a sample of 48 pieces of logs with bark made of freshly cut oak. The logs were obtained by mechanized technology with the help of grafting by a hydraulic splitter and a chainsaw. Each log was measured for a research length of 0.30 m, marked with numbers 1-24. On each log, the weight was measured on a scale of 5 kg with an accuracy of 0.5 grams. Drying of logs was performed in two places. The first drying place was in outdoor conditions, sheltered from the snow and ventilated. The second place was indoors, at approximately constant room temperature. The logs were stacked in a crossed way for better air circulation. They were dried between 15/12/2020 and 15/02/2021, a total of 62 days. The average initial weight of logs dried in the facility was 1130.3 g, in the dried state the average weight was 952.87 g, which represented 84.3% of the original weight. The average initial weight of logs dried in outdoor conditions was 1192.125 g, in the dried state 1076.37 g, which represented 90.29% of the original weight. The average initial water content in the logs dried in the facility was 37.9%, in the dried state it was 27.5%. For logs dried in outdoor conditions, the average initial amount of water was 36.6%, in the dried state the average amount of water was 31.2%.
Analysis of the dimensions of desks in primary schools in Aerodrom Municipality - Skopje
Authors: Jevtoska Elena , Gruevski Gjorgi , Antovska Ivana , Krstev Marija 
Published: December 2021

Abstract
Educational institutions are facilities where each person spends many years of their life. Desks used in these institutions are designed with specific features of shape, material and size. Long-term use of desks in educational institutions may be the cause of damage to the health of users if they are not carefully designed and dimensioned. In compliance with the prescribed rules and dimensions in the design of desks it is of great importance for proper development of the users that are in the stage of growth and development when using this type of desk. In this paper, the functional dimensions of real samples of desks taken from primary schools in the Municipality of Aerodrom – Skopje will be measured. The testing samples of desks will be designated to the group that they belong to according to the EN 1729-1:2006 standard, and all requested dimensions according to the standard will be measured. The purpose of this work is to show the real condition of desks in primary schools and whether the desks are with the requested dimensions of the EN 1729-1:2006 standard.
Design and implementation of fuzzy control system for egg incubator based on IoT technology
Authors: Mujčić Edin , Drakulić Una 
Published: December 2021

Abstract
Nowadays, automatic systems are using in more spheres of industry, and in this way, human intervention is avoided and used as minimally as possible. In the chicken poultry industry, the use of mother hens is transferring to automatic egg incubating systems. Such systems are helpful for the farmers to incubate the eggs automatically without the need for human intervention. These systems work by keeping the physical quantities, temperature and humidity, at the optimal level. In that way, the fetuses inside eggs are growing without the presence of the mother hen. The egg incubating systems not only improve poultry production considerably but also help in the regularity of income making, enabling the farmers to be able to get transition into possible rural entrepreneurship. This paper describes the design and implementation of a fuzzy control system for egg incubating based on IoT technology. The microcontroller is programmed to work as a fuzzy logic control system for controlling microclimate conditions in the egg incubator to keep the conditions for different eggs type optimal. Informations from the temperature and humidity sensors are sent wirelessly to the cloud. Also, the implemented egg incubating system enables automatic tracking of the remaining days until hatching chickens. In this way, remote monitoring, from any location, of microclimatic conditions inside the egg incubator is enabled. For the experimental work analysis of the implemented egg incubating system, the egg incubator is made. Based on the results of the experimental work analysis can be seen that the egg incubating system works well and that it helps with improving poultry production.
A simple guide to de novo transcriptome assembly and annotation
Authors: Raghavan Venket , Kraft Louis , Mesny Fantin , Rigerte Linda 
Published: December 2021

Abstract
A transcriptome constructed from short-read RNA sequencing (RNA-seq) is an easily attainable proxy catalog of protein-coding genes when genome assembly is unnecessary, expensive or difficult. In the absence of a sequenced genome to guide the reconstruction process, the transcriptome must be assembled de novo using only the information available in the RNA-seq reads. Subsequently, the sequences must be annotated in order to identify sequence-intrinsic and evolutionary features in them (for example, protein-coding regions). Although straightforward at first glance, de novo transcriptome assembly and annotation can quickly prove to be challenging undertakings. In addition to familiarizing themselves with the conceptual and technical intricacies of the tasks at hand and the numerous pre- and post-processing steps involved, those interested must also grapple with an overwhelmingly large choice of tools. The lack of standardized workflows, fast pace of development of new tools and techniques and paucity of authoritative literature have served to exacerbate the difficulty of the task even further. Here, we present a comprehensive overview of de novo transcriptome assembly and annotation. We discuss the procedures involved, including pre- and post-processing steps, and present a compendium of corresponding tools.
Body condition and jumping predict initial survival in a replicated island introduction experiment
Authors: Donihue Colin M , Herrel Anthony , Foufopoulos Johannes , Pafilis Panayiotis 
Published: December 2021

Abstract
Over-water dispersal to small islets is an important eco-evolutionary process. Most often, new arrivals on islets find the environment harsh or mate-less, making their footholds on these islets fleeting. Occasionally, introduced animals are able to survive the strong selection following their arrival, leading to subsequent propagation and, in several famous cases, adaptive radiation. What traits predict that initial survival? We established a replicated island introduction experiment to investigate this process in lizards. In 2014, we introduced 20 Podarcis erhardii lizards to each of five small islets in the Greek Cyclades Islands. We found that the lizards that survived were those with better initial body condition, longer distal portions of their limbs and a greater propensity for jumping. Contrary to our expectations, neither body size nor the strength of the lizards’ bite – two traits positively related to competitive ability, which becomes important later in the colonization process in lizards – predicted survival. This is the first selection study of its kind investigating an experimental introduction of Podarcis, and whether the traits that determined initial survival are important in driving the future evolutionary trajectories of these populations remains to be determined.