bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review of the distribution of granite using geomagnetic methods at Bukit Nunggal Air Mesu Village, Pangkalan Baru Sub-District, Bangka Tengah District
Authors: Verkoyan T B , Andini D E , Guskarnali  
Published: December 2021

Abstract
Exploration is activities happens before the mining activity. It has purposes to know, predict and obtain the dimension in quality and quantity from a reserve that has economic value. From surveying at bukit Nunggal, Mesu Village, Pangkalan Baru Sub-district, Bangka Tengah District showed that there are outcrops indicating the potential for becoming a reserve for granite. Measurement is conducted to know the resource estimation and it is done by an approach of geomagnetic method that is environment friendly. Geomagnetic is passive method to measure the magnetism level or susceptibility from the measuring point. The total of the line to know the dispersion pattern and the depth of the resource is 13 lines with the space between measurement is 10m. From the geomagnetic measurement obtained IGRF value is 42969, inclined degree 0.424 declined degree – 21.157, susceptibility value in between -54.2nT to 56.1 nT, and the granite susceptibility value is in between 21 nT to 50nT. The anomalies map showed that there is a resource potential, and the dispersion is from east to west. Viewed from the topography and the residential areas, mining activity is recommended to be done in the west area.
Synthesis of 3D-porous scaffold from cockle shells waste-based hydroxyapatite with addition silica from tin tailings
Authors: Afriani F , Evi. J , Rafsanjani R A , Amelia R , Hudatwi M , Tiandho Y 
Published: December 2021

Abstract
This study aims to synthesize a porous scaffold based on hydroxyapatite and silica using the polymer sponge replication method. In bone tissue engineering technology, the development of porous scaffolds is a topic that is intensively studied because it is expected to be a solution to various problems of conventional bone therapy. In addition to proposing a porous scaffold synthesis method, we also utilize natural waste-based materials such as cockle shells and tin tailings as raw materials in this research. Investigation through x-ray diffraction (XRD) pattern with the goodness of fit coefficient, X
2 = 0.09 shows that the coprecipitation method is effective for the synthesis of hydroxyapatite. Analysis of XRD pattern of tin tailings sand with a value of X
2 = 0.008 showed that the diffraction pattern was related to silica with space group P 41 21 2. The polymer sponge replication method with polyurethane template succeeded in obtaining scaffolds with macropores above 300 μm. Based on the diffraction pattern of the three porous scaffolds prepared with different percentages of HA, it is known that all porous scaffolds have peaks related to HA and silica. It indicates that the decomposition temperature of polymer does not provide sufficient energy for the HA and silica to transform or react chemically.
Comparative study of electrical energy conversion on monocrystalline and polycrystalline solar panel types in fixed position with various weather conditions in mountain area
Authors: Yandi W , Puriza M Y , Jumaida K 
Published: December 2021

Abstract
A solar panel is one alternative energy solution that is widely used today. Solar panels consist of two main types, namely polycrystalline and monocrystalline. The two solar panels have physical differences and the ability to produce electrical energy. Therefore, we compare two solar panels in order to conclude which type of solar panel is the most effective in producing electrical energy. The area used is plateau areas with a mountainous contour and has low humidity and temperature. Data is collected for three days. The solar panels used have a capacity of 200 Wp each. As a data logger, Arduino and several supporting components are used. Polycrystalline solar panels produce a greater voltage than monocrystalline types from the first day to the third day. However the current produced by the two solar panels tends to be the same. The average total energy produced by polycrystalline solar panels is 665.46 watts and monocrystalline solar panels is 500.62 watts. It can be concluded that in mountainous areas it is more efficient to use a polycrystalline type of solar panels.
Research on Contamination of Foods with Mercury Mining: A Ten-Year (2011-2020) Bibliometric Analysis
Authors: Zuas O , Elishian C , Darmayanti N T E , Budiman H , Yaumidin U K 
Published: December 2021

Abstract
The first study on bibliometric network analysis of research on contamination of foods with mercury (Hg) mining is presented. The Hg mining has been reported as the primary source of toxic Hg contamination of foods. The living population’s exposure to Hg is highly associated with the consumption of Hg-contaminated foods and water. This study aims to explore the global scientific literature to gain insight into how the scientific literature addresses contamination of foods with Hg mining using bibliometric network analysis. The study was conducted on 319 documents from publications indexed in the Scopus database from 2011 to 2020. We collected reviewed documents using various techniques to analyze this issue, including general statistics, bibliometrics, and analytics. According to analysis results, several significant findings were found as follows. The co-authorship network demonstrates the relationship among authors and countries regarding contamination of foods with Hg mining. Co-authorship authors and country analysis indicate that “Chinese authors” and “the Chinese Academic of Sciences” are the first among the most influential authors and institution, respectively. Moreover, from systematic visualization of co-occurrence keywords and clustering analyses, six major clusters were reviewed and have been identified as potential opportunities for future research.
Review of digital PCR potential for surveillance of emerging disease from wastewater
Authors: Dewantoro A , Anggundari W C , Prasetya B , Yopi  
Published: December 2021

Abstract
Emerging infectious diseases (EID) such as COVID-19 had been widely caused massive impact for all countries in the world. The spreading of pathogens became uncontrolled and unpredictable to overcome this pandemic disease. Some non-waterborne EID also was discovered in wastewater in many countries of the world. Studies showed that digital PCR could become a powerful tool for environmental surveillance. It enables the performance of absolute quantification for nucleic acid with a high inhibitory sample, like wastewater, and potentially possibly detected a tiny quantity of pathogen residue and tracked the infectious diseases that originated from human excretions into sewage. Hopefully, with the development of this method and support of measurement and standardization, it is possible to become an effective method to overcome the digital PCR (dPCR) method challenge for surveillance of disease transmission from wastewater.
Flood Vulnerability Study of Pangkalpinang City, Bangka Belitung Archipelago Province
Authors: Guskarnali  , Irvani  , Taman Tono E.P.S.B. 
Published: December 2021

Abstract
Pangkalpinang city is one part of Bangka Belitung Archipelago Province which has an area of 118.41 km2 with seven districts and consist of forty-two villages. Based on its location on the eastern part of bangka island make pangkalpinang closer to the coast and watersheds so that it can be said it have a relatively low average land elevation (topography) with a height of 20-50 meters above the sea with a slope of 0-25 %. The research was carried out quantitatively and qualitatively with the parameters of determining the administrative boundaries of each district, the selection of applicable rules regarding the applicable land use zoning or spatial planning (RT/RW), topography, surrounding watersheds, and population density of settlements in Pangkalpinang City. These parameters are then carried out using overlay, scoring and layout techniques to see the distribution of the flood vulnerability level pattern. The results showed that flood vulnerability (very vulnerable) with low topography (0-10 meters above sea level) was in the northwest area of Bukit Intan District and Taman Sari District. Flood vulnerability (vulnerable to less vulnerable) with moderate topographic values (10-19 meters above sea level) is in Gerunggang and Gabek Districts, while vulnerability is not vulnerable with high average topographic values (above 20 meters above sea level). in the northern part in the Districts of Gerunggang, Gabek, and Pangkalbalam. In the northwest part of Pangkalpinang City, if there is an increase in tides or high rainfall intensity, the area will be inundated (flooded).
Adsorption Capacity of Ca2+ by Hydrochloric Acid Activated Kaolin
Authors: Wahyuni N 
Published: December 2021

Abstract
A high concentration of calcium ions in water is a problem as it can cause blockages in engine pipes. Adsorption is a relatively cheap and straightforward method that can be used to reduce the calcium ion content in water. Kaolin is a mineral that has a potential as an adsorbent and whose adsorption capacity can be increased by activation. This research studied the adsorption capacity of activated kaolin by hydrochloric acid against Ca2+ ions. Kaolin was chemically activated using 6 M HCl solution for 24 hours. The adsorption contact time in batches was varied with time variations of 30, 90, 150, and 180 minutes. The maximum adsorption capacity of activated kaolin to the Ca2+ was determined by varying the initial concentrations of water samples, namely 4, 7, 10, and 13 mg/L. The concentration of Ca2+ was determined by a titration method using ethylene diamine tetraacetate (EDTA). The results showed that the activation of kaolin with 6 M HCl at the optimum contact time of adsorption, namely 150 minutes, increased the percentage of adsorbed Ca ions to 2 times of that of natural kaolin, from 33.3% to 68.3%. Based on the Langmuir equation, the maximum adsorption capacity of calcium ions by activated kaolin HCl 6 M increased 1.7 times from natural kaolin to 0.346 mg/g.
Production of biodiesel over ZnO-TiO2 bifunctional oxide catalyst supported on natural zeolite
Authors: Al Muttaqii M , Amin M , Prasetyo E , Alviany R , Marlinda L 
Published: December 2021

Abstract
In this paper, biodiesel is produced from palm oil and methanol via the transesterification process over the heterogeneous catalyst. The metal oxide ZnO-TiO2 was impregnated into natural zeolite over the dry impregnation method. The ZnO-TiO2/NZ catalyst was prepared over the dry impregnation method. The catalysts' characteristic was characterized by X-ray diffraction (XRD) and Scanning Electron Microscope (SEM). The biodiesel was analyzed by Fourier-Transform Infrared Spectroscopy (FTIR) and Gas Chromatography-Mass Spectrometry (GC-MS). The results showed a functional group of methyl ester (C=O, carbonyl group) at 1744.51 cm-1. The components of methyl ester such as hexadecanoic acid methyl ester (C17), cis-9-heptadecanoic acid methyl ester (C18), oleic acid methyl ester (C19), are present in the biodiesel with the percent area of 0.05%, 0.08%, 0.63%, 7.06%, 16.3%, respectively, over ZnO-TiO2/NZ catalyst with a metal ratio of 1:1. This catalyst was successful in the transesterification of palm oil to produce biodiesel.
Fabrication of Norbixin-Sensitized Solar Cell and The Effect of Light Intensity on Its Performance and Reusability
Authors: Rahmalia W , Crespo E , Usman T 
Published: December 2021

AbstractDye-sensitized solar cell (DSSC) is a third-generation solar cell that has been developed as one of the clean and renewable alternative energies. This study aims to fabricate norbixin-sensitized solar cell (NSSC). Norbixin was obtained from the saponification followed by acidification of bixin and characterized using UV-Visible and FTIR spectroscopy. The solar cell was assembled using anatase-TiO2semiconductor, KI/I2/MPII in acetonitrile as the electrolyte, and a platinum paste-based cathode. The UV-Visible spectrophotometry analysis results showed three peaks of carotenoid characteristics at 434, 457, and 486 nm. The formation of norbixin was proved by the absence of a spectral peak for the C-O-C ester group of bixin at 1254 dan 1159 cm-1” The cells performance test showed that the maximum energy conversion efficiency of NSSC increased with increasing light intensity up to 0.08 W/cm2. Exposure to the light above this intensity causes a decrease in the maximum energy conversion efficiency due to the temperature factor. The data also showed that the cell assembled was reusable. It still showed relatively good performance until the third day of analysis.
Green technologies for air pollution treatment by microalgae in tubular photobioreactor
Authors: Minh T T , Tien N H , Giang L V , Loc H H , Hien V T D , Tran T 
Published: December 2021

Abstract
Air pollution in general and motorcycle exhaust, in particular, is a big problem attracting a lot of attention from people and researchers worldwide because of the significant impacts it has on humans and the environment. The issue of air pollution is growing, and the impact is more evident than ever. Carbon dioxide represents a series of problems that we face daily but have not yet been effectively solved. Currently, microalgae are known to photosynthesize and use free CO2, bicarbonate ions as a source of nutrients to grow. Microalgae are developed under appropriate environmental conditions, which will bring admirable CO2 treatment efficiency and obtain biomass for other applications. The study approach was an inexpensive and natural air purification solution by microalgae, which is designed as a tubular photobioreactor. The study was conducted by evaluating the ability of Chlorella Vulgaris to grow and absorb CO2 emissions in the newly established system with exhaust gas supplied from a mini motorcycle engine. The results showed that microalgae grew stably in the tubular photobioreactor system with a biomass concentration of 6×106 cells/ml after 42 days of the experiment. Simultaneously with the stable growth of microalgae, the CO2 emission concentration was reduced with 26.59% absorption efficiency after 11 days of the experiment. Finally, establishing the tubular photobioreactor technology system has yielded impressive initial results in cultivating stable growing microalgae combined with CO2 emission treatment.
Coral reef monitoring in Panjang Island, Central Bangka
Authors: Adi W , Akhrianti I , Hudatwi M 
Published: December 2021

Abstract
Bangka Island is the largest tin producer in Indonesia and since the granting of tin mining freedom in 2000, unconventional tin mining (TI) is increasingly prevalent. The existence of mining activities will directly or indirectly damage the environment both on land and at sea. Especially the high biodiversity of coral reef ecosystem. The purpose of this research was to analyze a map of the distribution of coral reef based on Sentinel 2A satellite imagery data. Analyze the extent of the coral reefs in shallow waters of Putri Island, and analyze of the condition coral reefs (percentage cover, mortality index and genus diversity) with using collaboration betwen the coral diving data and remote sensing data. Studies of changes in coral reef ecosystems have been ongoing since several decades ago. The combination of satellite imagery and aerial photographs is capable of making long-term and continuous observations on mapping and change detection. Remote sensing technology has several advantages overconventional sampling to monitor a large area in time almost simultaneously and continuously including the difficult to explore areas. This research was conducted with visual interpretation by using standard true color composite band (483) and false color composite band (843) of Sentinel 2A and also using lyzenga transformation. Estimation of coral reefs area based on result is 475,96 ha (2016) and decreased to 475 ha (2021). The condition of coral reefs at the research location is a good condition.
Phosphorus desorption and recovery from aqueous solution using amorphous zirconium hydroxide/MgFe layered double hydroxides composite
Authors: Nuryadin A , Imai T 
Published: December 2021

AbstractGlobal phosphorus scarcity implies the importance of phosphorus recovery. Desorption is an essential process in phosphate removal by adsorption technique by enabling two crucial aspects: the reusability of adsorbent and the recovery of phosphorus. In this study, phosphate desorption by NaOH for composite reusability and phosphorus recovery by CaCl2were investigated. Based on the cost analysis, the uncalcined amorphous zirconium hydroxide/MgFe layered double hydroxides composite (am-Zr/MgFe-LDH) with Zr to Fe molar ratio of 1.5 was effective in reducing cost for phosphate adsorption compared to amorphous zirconium hydroxide (am-Zr) and MgFe layered double hydroxide (LDH). The XRD analysis indicated that phosphate desorption was preferably performed by stripping adsorbed phosphate on the composite surface using NaOH solution. The reuse of 2 N NaOH for composite regeneration could effectively maintain a higher adsorption ability (86%) than 1 N NaOH, and additionally, could be considered as an economic regeneration agent. The composite was chemically stable in maintaining its structure during eight adsorption-desorption cycles. The mechanisms involved during phosphate desorption by NaOH were mainly ligand exchange and electrostatic repulsion. The phosphorus recovery showed that the optimum recovery (~95%) was obtained by adding CaCl2at pH 13 and calcium to phosphorus molar ratio of 3.5.
Dynamic optimal power flow calculates intermittent wind turbine using ant colony method
Authors: Siwi R P , Gunadin IC , Said SM , Siswanto A , Humena S 
Published: December 2021

AbstractIntermittent is electrical energy that is not available continuously due to uncontrollable external factors generated by a power plant which conditions vary in a reasonably short time scale. Intermittent can be limited or even mitigated by electricity storage, which is a rapidly growing area of research. In this research, the renewable energy used is the wind turbine. This study aims to schedule an economic generator by considering the intermittent wind turbine. Dynamic optimal power flow calculate Intermittent wind turbine uses ant colony method to determine the value of optimizing system operation with the integrated wind turbine. To determine the optimization value of the system operation, this study use a south sulawesi system consisting of 76 buses, 21 generators, and two wind power plant. From the results of the dynamic optimal power flow simulation, it is found that the generation costs are reduced from the real system costs using the ant colony method when the peak load time is 18.28% and the out peak load time is 18.08%, so that in only two times the ant colony optimization method, can reduce the cost of generation by Rp. 121,123,830.
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases
Authors: Scherer Paul , Trębacz Maja , Simidjievski Nikola , Viñas Ramon , Shams Zohreh , Terre Helena Andres , Jamnik Mateja , Liò Pietro 
Published: December 2021

Abstract

Motivation
Gene expression data are commonly used at the intersection of cancer research and machine learning for better understanding of the molecular status of tumour tissue. Deep learning predictive models have been employed for gene expression data due to their ability to scale and remove the need for manual feature engineering. However, gene expression data are often very high dimensional, noisy and presented with a low number of samples. This poses significant problems for learning algorithms: models often overfit, learn noise and struggle to capture biologically relevant information. In this article, we utilize external biological knowledge embedded within structures of gene interaction graphs such as protein–protein interaction (PPI) networks to guide the construction of predictive models.

Results
We present Gene Interaction Network Constrained Construction (GINCCo), an unsupervised method for automated construction of computational graph models for gene expression data that are structurally constrained by prior knowledge of gene interaction networks. We employ this methodology in a case study on incorporating a PPI network in cancer phenotype prediction tasks. Our computational graphs are structurally constructed using topological clustering algorithms on the PPI networks which incorporate inductive biases stemming from network biology research on protein complex discovery. Each of the entities in the GINCCo computational graph represents biological entities such as genes, candidate protein complexes and phenotypes instead of arbitrary hidden nodes of a neural network. This provides a biologically relevant mechanism for model regularization yielding strong predictive performance while drastically reducing the number of model parameters and enabling guided post-hoc enrichment analyses of influential gene sets with respect to target phenotypes. Our experiments analysing a variety of cancer phenotypes show that GINCCo often outperforms support vector machine, Fully Connected Multi-layer Perceptrons (MLP) and Randomly Connected MLPs despite greatly reduced model complexity.

Availability and implementation
https://github.com/paulmorio/gincco contains the source code for our approach. We also release a library with algorithms for protein complex discovery within PPI networks at https://github.com/paulmorio/protclus. This repository contains implementations of the clustering algorithms used in this article.

Supplementary information
Supplementary data are available at Bioinformatics online.
scShaper: an ensemble method for fast and accurate linear trajectory inference from single-cell RNA-seq data
Authors: Smolander Johannes , Junttila Sini , Venäläinen Mikko S , Elo Laura L 
Published: December 2021

Abstract

Motivation
Computational models are needed to infer a representation of the cells, i.e. a trajectory, from single-cell RNA-sequencing data that model cell differentiation during a dynamic process. Although many trajectory inference methods exist, their performance varies greatly depending on the dataset and hence there is a need to establish more accurate, better generalizable methods.

Results
We introduce scShaper, a new trajectory inference method that enables accurate linear trajectory inference. The ensemble approach of scShaper generates a continuous smooth pseudotime based on a set of discrete pseudotimes. We demonstrate that scShaper is able to infer accurate trajectories for a variety of trigonometric trajectories, including many for which the commonly used principal curves method fails. A comprehensive benchmarking with state-of-the-art methods revealed that scShaper achieved superior accuracy of the cell ordering and, in particular, the differentially expressed genes. Moreover, scShaper is a fast method with few hyperparameters, making it a promising alternative to the principal curves method for linear pseudotemporal ordering.

Availability and implementation
scShaper is available as an R package at https://github.com/elolab/scshaper. The test data are available at https://doi.org/10.5281/zenodo.5734488.

Supplementary information
Supplementary data are available at Bioinformatics online.