bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of Potential of Cascade Direct Use to Utilize Exhaust Steam from Back Pressure Turbine at Ulumbu Geothermal Power Plant
Authors: Haykal Ahmad Azaria , Lafkin Aby , Utami Sholihah R. , Hasyyati Luqiyana Nur , Karunia Hammad Fadhil , Andriana Rian , Hendrarsakti Jooned 
Published: April 2022

Abstract
The Indonesian government has fixated Flores Island for geothermal utilization due to its potential to reach about 776 MW. Of these potentials, one that has been utilized is at PLTP Ulumbu with a 10 MW energy reservation. 2 backpressure units at PLTP Ulumbu generate power 2×2.5 MW. The exhaust on the backpressure unit of the PLTP Ulumbu has an average temperature of 99°C with enthalpy ranging from 2,430 to 2,435 kJ/kg. Instead of releasing the steam to the environment, it would be wiser to utilize the brine’s heat through cascade direct use based on Lindal Diagram. The cascading system will be arranged from high to low temperature to use excessive energy efficiently. The direct use application is selected based on the best potential-for-fit commodities and the energy of the heat source. This paper aims to perform a feasibility study of cascade direct use of geothermal energy that uses an exhaust steam backpressure turbine at Ulumbu geothermal power plant. The Ulumbu area will be transformed as the center of agricultural, stockbreeding, factory, and geothermal tourism. From potential commodities, the four applications selected are coffee bean drying, egg-hatching incubator, brick factory, and new tourism site. Additionally, several preliminary scenarios are available regarding plant development components (e.g., stakeholder and partnership type). Hence, the comprehensive determination of the ‘best scenario’ will be discussed in terms of feasibility and economic attractiveness.
Identification of Direct-Use Geothermal Energy for Extracting Cajuput Oils Used to Reduce Respiratory Disorder Due to COVID-19
Authors: Hendrarsakti Jooned , Brahmantya Herdhani Adhi , Baravanni Afdhal , Rianto Deyan , Resha Mochammad , Andi Kolala Putra , Setia Febriatna Triya , Abraham Rasu William 
Published: April 2022

Abstract
The COVID-19 disease causes severe symptoms like fever, cough, and respiratory disorder like streptococcus pneumonia. Essential oil in cajuput is oil is believed to have effect to reduce respiratory disorder due to COVID-19. While the cajuput oil is not proven to prevent or to heal COVID-19 patients, the treatments using cajuput oil are proven helpful to ease the symptoms. Indonesia as a tropical country has large-scale cultivation of cajuput plants, for example in 2017, Sumedang and Majalengka areas produced up to 4 tons raw material or 10 kg in a day. In producing cajuput oil, there are some steps required for oil extraction and distillation including modified steam distillation method used in this study. This method of essential oil extraction process may use a large amount of heat to produce steam. Geothermal residual heat in the form of brine can be an alternative used to extract eucalyptus oil on small scale. This study shows the material balance analysis for the cajuput oil production with 10 kg cajuput leaves per day from Sumedang and Majalengka areas using Wayang Windu geothermal power plant brine at 180.7°C with 0.05 kg/s mass flow rate. Wayang Windu geothermal power plant itself was chosen because the distance is not too far from cajuput source, which is around 99.7 km. In this study the cajuput oil extraction produces around 57.918 × 10−3 kg of cajuput oil for daily production time 100 min/day.
Nutritional and Sensory Properties of Starry Trigger (Abalistes stellaris) Fish Balls Additional Fresh and Steamed Moringa (Moringa oleifera) Leaves
Authors: Nuryahyani R , Kristanti D , Ishartani D , Setiaboma W 
Published: April 2022

AbstractThe starry trigger fish(Abalistes stellaris)is unique fish contains protein and low fat. Additions of plant as sources rich phytochemical is now widely observed. Moringa leaves is usually considered as the source of mineral and fiber. The purpose of this study was to evaluate the effect of addition moringa leaves (fresh and steamed) on quality of starry trigger fish balls. The fish balls were made with seven formulations: C (control); A1 (5% of fresh moringa); A2 (10% of fresh moringa); A3 (15% of fresh moringa); B1 (5% of steamed moringa); B2 (10% of steamed moringa); B3 (15% of steamed moringa). The addition of moringa leaves increased a moisture content, iron, and water holding capacity (WHC) of fish meatball. The fish ball addition moringa leaves contained iron (0.66-1.07 mg/100g) and protein (45.20-48.33%). Otherwise, the treatments decreased a texture (hardness, gumminess, chewiness), lightness value of fish ball. The steamed treatment reduced a moisture content an iron, but increased a hardness, gumminess, chewiness, WHC, and lightness value of fish meatball. In generally, the addition of both fresh and steamed of moringa leaves did affect the panelist acceptance of fish meatballs. The addition of 15% fresh and steamed moringa leaves had the lowest acceptance by panelist.
Effect On The Variation Of Irradiation Time and Power Of UVC Lamp On Photocatalyst Degradation Of Iron (III) Sulfate Dye Waste
Authors: Nugroho DA , Trisnaliani L , Bustan MD 
Published: April 2022

Abstract
This study aimed to determine the effect of variation in irradiation time and UVC lamp power on the degradation of iron (III) sulfate dye waste with the help of photocatalyst TiO2-Ag-Zeolite nanocomposite. TiO2 used was technical TiO2, Ag precursor was AgNO3 and, zeolite powder. The method used was sol-gel for the synthesis of TiO2-Ag-Zeolite. A photoreactor with irradiation with some UVC lamps (6,8,10 W) o in the catalyst test. The experimental result of the reduction process of iron (III) sulfate with the addition of TiO2-Ag-Zeolite catalyst and variations in reaction time (10,20,30,40,50 and 60 min) obtained the highest peak concentration of about 51% at 60 min with 6 and 8 W for pH > 4.0.
Fusarium Detected from Asymptomatic Seeds and the Highest From the Basal Clove Sections of Garlic
Authors: Hadwiyono  , Poromarto S H , Supyani  , Pamungkas Y H 
Published: April 2022

Abstract

Fusarium oxysporum f. sp. cepae causing basal rot is the most important pathogen on garlic in some fields such as in Tawangmangu Karanganyar, Central Java, Indonsesia. Information on the level of pathogen infection in seeds is an important factor that determines the intensity of disease in the field. This information is important in disease control in the field. The sensitivity of detection determines the success in measuring the index of pathogen infection in seeds. This paper reports the results of detection of the F. oxysporum f. sp. cepae based on visual symptoms and seed clove sections to determine the index of pathogen infection by incubation method on agar media. The detection results showed that the symptoms and clove part section determined the infection index of Fasarium in garlic seed bulbs. Pathogen in asymptomatic cloves can still be detected and from basal clove section is higher detected compared to the tip. The four varieties examined, namely Tawangmangu Baru, Lumbu Hijau, Lumbu Kuning, and Jawa Bawang were detected F. oxysporum f. sp. cepae 100.00, 97.22, 89.44, and 85.55% respectively.
Microsatellite Marker Mining Using PCR-Based Isolation of Microsatellite Arrays (PIMA) Method on Blue-Spotted Mudskipper, Boleophthalmus Boddarti
Authors: Azmir I A , Md-Yasin I S , Esa Y 
Published: April 2022

AbstractMicrosatellites are small and are codominant markers that can be amplified with polymerase chain reaction. Both prokaryotic and eukaryotic organisms possess large amounts of the microsatellites repeat. Many microsatellites have high mutation rates that generate the high levels of allelic diversity necessary for genetic studies of processes acting on ecological time scales. The high variability of microsatellites provided the foundation for their successful application in a wide range of fundamental and applied fields of biology. However,de novoisolation is needed for most species hence in this study we tried to mine the microsatellite marker using PCR-based isolation of microsatellite arrays (PIMA) on Blue spotted mudskipper,Boleophthalmus boddartia fish uniquely restricted to coastal and estuarine habitat was also commercially important. Out of three trials, seven microsatellite repeats were detected but only three repeat types (AAG)4, (TCAG)3and (CT)4can be useful as microsatellite marker following PHOBOS V3.3.12 analysis. Meanwhile, the detection of octa (AATACAT)2, penta (TGACA)2and heptanucleotides (GGAGATA)2 were unable to be continued as functional microsatellite marker as there were missense variants and interruptions detected either on forward or reverse strand of the repeat. Thus, PIMA method could be considered as tedious and detected low yields of microsatellite markers. Nevertheless, the conventional method for generating microsatellite markers from PCR based methods could be done within silicomining of microsatellite sequences from DNA sequence databases or next generation sequencing (NGS).
Co-Action Performance of Two Natural Dyes As Photosensitizer In Dye-Sensitized Solar Cell (DSSC) Apllication
Authors: Hower H , Tamrin  , Pratama F , Hersyamsi  
Published: April 2022

Abstract
The aim of this research was to determine the effect of coaction performance of two natural dyes which was Malabar melastome (Melastoma malabathricum). (SD) extract and nipa palm (Nypa fruticans) (NP) extract to photovoltaic properties of the fabricated DSSCs. Both plants are planted in different habitat (water and terrestrial). Experiment was carried out in 3 coaction which were combination of leaves (DN) and fruits (BH) from each plant. It was BH-SD+DN-NP, BH-SD+BH-NP and DN-SD+BH-NP. Extraction used absolute ethanol solution as solvent at the ratio of 1:3. Leaves, flowers and fruits from Malabar melastome and nipa palm were washed with distilled water then cutted in small pieces and subsequently dried at 45°C for 24 hours. The dried materials were ground and immersed in solvent for 7 days at room temperature in a dark room. All filtrate was obtained and used as dye photosensitizer. The DSSC encapsulation comprised of a photo electrode and counter electrode which were stacked up sandwich-like cell. Both electrodes were clamped with clamps on both sides prior dripping with electrolyte solution. The research revealed that co-action of two natural dye from Malabar melastome and nipa palm are able to increase the efficiency of DSSC. The maximum of field factor occoured in BH-SD+BH-NP while minimum was in BH-SD+DN-NP, 0.3816 and 0.2572 respectively. The co-action efficiency of natural dye reached maximum in BH-SD+DN-NP and minimum in DN-SD+BH-NP which were 7.7414% and 1.2229% respectively.
Marginal Substitution and Allocative Efficiency Evaluation of Rice Farming Applying Organic Fertilizer In Swampy Land Banyuasin Regency, South Sumatera Province, Indonesia
Authors: Adriani D , Maryadi  , Purbiyanti E , Mulyana E , Minha A 
Published: April 2022

Abstract
The growing awareness of the negative impact of using inorganic fertilizers on the environment in a small number of rice farmers has made them switch from conventional to organic farming. So far, economic research on the application of organic fertilizers has been widely carried out in irrigated rice fields. Economic research on the application of organic fertilizer use in tidal and lebak land areas has not been widely carried out. Differences in land types are expected to affect the amount of use of organic fertilizers and are also thought to affect production yields and income levels. The purpose of this study was to analyze the reduction in the use of inorganic fertilizers for rice farmers using organic fertilizers and their marginal substitution, as well as the impact of using organic fertilizers on the costs and income of rice farmers using organic fertilizers in tidal and lebak land. This research was conducted in Telang Sari Village, Tanjung Lago District and Sako Village, Rambutan District, Banyuasin Regency, South Sumatra Province, Indonesia. Data was collected in April 2021. The research method was a survey with proportional stratified random sampling. The results showed that (1) the highest reduction of inorganic fertilizer in tidal land was 65.4 percent, while in lebak land it was 57.6 percent; the cost of production factors in tidal and lebak and areas increased by 4.94% and 18.56%; The income of rice farmers in lebak land increased by 60.58%, while on tidal land it was only 32.94%, (2) The marginal substitution of organic fertilizers to inorganic fertilizers was -2.61 and -5.68, (3) The use of these factors production for farmers who use organic fertilizers in both tidal and lebak land have not been efficien yett. The use of factors of production must be increased to obtain optimal profits.
In Vitro Rumen Methanogenesis Of Lemon Grass (Cymbopogon Nardus L.) Waste Silage
Authors: Abrar A , Priyanto L , Riswandi  
Published: April 2022

Abstract
Utilization of agroindustrial waste as feed for ruminant should consider not only biomass availability but also the impact to environment. Methanogenesis has been one of the issues regarding to the utilization of agroindustrial was as feed for ruminant. Lemon grass (Cymbopogon nardus L.) has known for its potential as feed for ruminant, however the information on its methanogenesis activities is very few. Ensiling process of the lemon grass waste may enhance the potential. Lemon grass waste were divided into two group of in vitro digestibility experiment; control (T0) and ensilage (T1) lemon grass waste. Observed parameters were pH, total gas production (mL) and rumen methane concentration (ppm). The Data were applied to T-tes student with 10 replications. The results showed that the pH was not significantly different (p> 0.05), while gas production and rumen methane concentration was significantly different (p <0.05). It can be concluded that the use of lemon grass waste silage can maintain the stability of pH values, reduce gas production, and methane gas concentration in cattle.
The Evaluation of Fish Growth Parameters and Exploitation of Hemibagrus nemurus In The Kotopanjang Reservoir, and The Sembakung River, Indonesia
Authors: Rais A H , Marini M 
Published: April 2022

Abstract
Hemibagrus nemurus or Baung is catfish grouped with pangasidae that has become a high economic value in Indonesia. The Kotopanjang Reservoir and the Sembakung River have the potential fishing ground of Hemibagrus nemurus in Riau Province and North Kalimantan respectively. This paper aims to evaluate the situation of the utilization of Hemibagrus nemurus based on growth parameters between two populations in the Kotopanjang Reservoir and the Sembakung River. The sample was collected from February to November 2017 in Kotopanjang, and February to September 2019 in the Sembakung. The conclusion has been produced by the length frequency analysis on both locations. The growth parameters have been analyzed by R software “TropFishR” and “fishmethods” packages. The result of ELEVAN analysis draws the same growth factor was 0.2 for the Kotopanjang and the Sembakung River. The length infinitive in the Sembakung River is 90 cm and the Kotopanjang 46.5 cm. The other result shows the exploitation level was higher recorded in the Kotopanjang Reservoir compare to the Sembakung with 0.514 and 0.277 respectively. It proved the exploitation rate in Kotopanjang was higher than the size caught in the Sembakung River. The recruitment pattern in both locations showed recruit pattern for the new stock was two times a year.
Identifying the critical states of complex diseases by the dynamic change of multivariate distribution
Authors: Peng Hao , Zhong Jiayuan , Chen Pei , Liu Rui 
Published: April 2022

Abstract
The dynamics of complex diseases are not always smooth; they are occasionally abrupt, i.e. there is a critical state transition or tipping point at which the disease undergoes a sudden qualitative shift. There are generally a few significant differences in the critical state in terms of gene expressions or other static measurements, which may lead to the failure of traditional differential expression-based biomarkers to identify such a tipping point. In this study, we propose a computational method, the direct interaction network-based divergence, to detect the critical state of complex diseases by exploiting the dynamic changes in multivariable distributions inferred from observable samples and local biomolecular direct interaction networks. Such a method is model-free and applicable to both bulk and single-cell expression data. Our approach was validated by successfully identifying the tipping point just before the occurrence of a critical transition for both a simulated data set and seven real data sets, including those from The Cancer Genome Atlas and two single-cell RNA-sequencing data sets of cell differentiation. Functional and pathway enrichment analyses also validated the computational results from the perspectives of both molecules and networks.
A3D database: structure-based predictions of protein aggregation for the human proteome
Authors: Badaczewska-Dawid Aleksandra E , Garcia-Pardo Javier , Kuriata Aleksander , Pujols Jordi , Ventura Salvador , Kmiecik Sebastian 
Published: April 2022

AbstractSummaryProtein aggregation is associated with many human disorders and constitutes a major bottleneck for producing therapeutic proteins. Our knowledge of the human protein structures repertoire has dramatically increased with the recent development of the AlphaFold (AF) deep-learning method. This structural information can be used to understand better protein aggregation properties and the rational design of protein solubility. This article uses the Aggrescan3D (A3D) tool to compute the structure-based aggregation predictions for the human proteome and make the predictions available in a database form. In the A3D database, we analyze the AF-predicted human protein structures (for over 20.5 thousand unique Uniprot IDs) in terms of their aggregation properties using the A3D tool. Each entry of the A3D database provides a detailed analysis of the structure-based aggregation propensity computed with A3D. The A3D database implements simple but useful graphical tools for visualizing and interpreting protein structure datasets. It also enables testing the influence of user-selected mutations on protein solubility and stability, all integrated into a user-friendly interface.Availability and implementationA3D database is freely available at: http://biocomp.chem.uw.edu.pl/A3D2/hproteome. The data underlying this article are available in the article and in its online supplementary material.Supplementary informationSupplementary data are available at Bioinformatics online.
GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering
Authors: Lu Yifu , Yu Zhuohan , Wang Yunhe , Ma Zhiqiang , Wong Ka-Chun , Li Xiangtao 
Published: April 2022

AbstractMotivationThanks to the development of high-throughput sequencing technologies, massive amounts of various biomolecular data have been accumulated to revolutionize the study of genomics and molecular biology. One of the main challenges in analyzing this biomolecular data is to cluster their subtypes into subpopulations to facilitate subsequent downstream analysis. Recently, many clustering methods have been developed to address the biomolecular data. However, the computational methods often suffer from many limitations such as high dimensionality, data heterogeneity and noise.ResultsIn our study, we develop a novel Graph-based Multiple Hierarchical Consensus Clustering (GMHCC) method with an unsupervised graph-based feature ranking (FR) and a graph-based linking method to explore the multiple hierarchical information of the underlying partitions of the consensus clustering for multiple types of biomolecular data. Indeed, we first propose to use a graph-based unsupervised FR model to measure each feature by building a graph over pairwise features and then providing each feature with a rank. Subsequently, to maintain the diversity and robustness of basic partitions (BPs), we propose multiple diverse feature subsets to generate several BPs and then explore the hierarchical structures of the multiple BPs by refining the global consensus function. Finally, we develop a new graph-based linking method, which explicitly considers the relationships between clusters to generate the final partition. Experiments on multiple types of biomolecular data including 35 cancer gene expression datasets and eight single-cell RNA-seq datasets validate the effectiveness of our method over several state-of-the-art consensus clustering approaches. Furthermore, differential gene analysis, gene ontology enrichment analysis and KEGG pathway analysis are conducted, providing novel insights into cell developmental lineages and characterization mechanisms.Availability and implementationThe source code is available at GitHub: https://github.com/yifuLu/GMHCC. The software and the supporting data can be downloaded from: https://figshare.com/articles/software/GMHCC/17111291.Supplementary informationSupplementary data are available at Bioinformatics online.
Social Workers Dealing with Ethical Dilemmas in the Course of Their Professional Work: The Greek Experience
Authors: Chatzifotiou Sevaste , Papouli Eleni 
Published: April 2022

Abstract
Globally, ethical dilemmas are a relatively neglected topic in social work research, despite their obvious importance to ethical professional practice. This study aims to contribute to the existing literature by exploring ethical dilemmas and related issues faced by social workers in Greece. For our purposes, we created an online survey questionnaire via Survey Monkey software and distributed it nationwide to all social workers, asking those who had more than two years of work experience at any kind of service providing agency to complete it. A total of 835 questionnaires were returned and used for data analysis (response rate 11.13 per cent). The study highlights the diversity of ethical dilemmas encountered by social workers in their professional practice, as well as revealing the different strategies, tools and mechanisms used in dealing with them. Further, it shows the urgent need for developing appropriate ethics support activities and training programmes for social workers, as a crucial part of their ongoing professional education and development. Such ethics initiatives are required to remain ethically competent throughout their working life.