bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variations in peat soil properties at the west coast of Sumatra Island
Authors: Suryani E , Pratamaningsih M M , Muslim R Q , Erwinda  , Hati D P , Kricella P , Nugroho E S , Subandiono R E , Anda M 
Published: July 2022

Abstract
Peat in coastal areas has different characteristics compared to peat in inland areas because coastal peat usually has high DHL, pyrite, marine sandy substratum, and maturity which is generally classified as hemic to sapric. These variants in soil characteristics drive peculiarity in its management. For this reason, a more detailed information about the characteristics is needed to allow sustainable management and utilization. A total of 78 peat soil samples from 20 peat soil profiles taken over west coast of Sumatra was studied and analyzed for their physical and chemical properties. Field observations were made using a peat auger to determine thickness and maturity, substratum, presence of pyrite, and others. Results showed that peat thickness varied from shallow (50-100 cm), medium (100-200 cm), to very deep (>700 cm); peat situated closer to the coast generally has shallow peat depth. Peat soil in coastal areas contained a mineral soil substrate with a sand content of >70%. It was found that soil had a hemic maturity level and a very acidic to acidic pH value (pH 2.5-5.4). The P2O5 content extracted by 25% HCl varied from low to moderate, while K2O content of 25% HCl extraction was very low. Cations K, Na, and Ca were very low to very high, while Mg spanned from very low to high. Based on its thickness, 25% of peatland were not suitable (Nrc) for general agriculture uses because of >300 cm thickness. Therefore, it is necessary to improve soil fertility and water management in several places.
The priming effect in compost amelioration of tropical peat soil
Authors: Simanjuntak F , Darmawan  , Sumawinata B 
Published: July 2022

Abstract
Utilization of peat land for agriculture in Indonesia is increasing and some efforts in improving the peat soil fertility is being highly concerned. In addition to fertilizers, farmers add some fresher organic matter as the ameliorants, such as compost to support better microbial growth in the soil for increasing the decomposition process. Theoretically the addition of compost onto peat soil would lead to priming effect, hence it would accelerate the decomposition of peat organic matter. This study was to observe the impact of decomposition process due to adding compost to respiratory CO2 of peat soil. Peat soil from Central Kalimantan was used for experiment, incubated with KOH and then the respiratory CO2 was measured with titration method. Two different sizes of peat soil materials obtained from sieving peat soils, i.e. 5 mm and > the 5 mm. Each peat soil materials were mixed with 10%, 25%, and 50% compost to the total 100 grams. Post the compost addition, the samples were incubated for 20 days, and the respiratory CO2 was gauged for 4 times at 5 days interval during the incubation. It was showed that the more compost mixed to the peat soil materials, the more CO2 produced. The highest CO2 was 912.00 mg/g/day from compost incubation and a mixture of 50 gram of compost and coarse peat soil material produced 460.8 mg/g/day.
Identification and Characterization of Life Zones at Satipo District in the Tropics of Central Peru
Authors: Parra-Vásquez C , Suarez-Bravo K , Caballero-Salas R , Soto-Aquino V , Alvarez-Montalván C , Manrique S 
Published: July 2022

Abstract
At present, the life zones have undergone great changes due to anthropic activities, so the present study was carried out with the aim of identifying and characterizing the life zones of the Satipo district. The applied methodology was the Holdridge life zone classification, the meteorological variables were analyzed, the vegetation cover was identified, also using the ArcGIS, QGIS, ENVI and Microsoft Excel software, the data analysis and field information were processed. In the investigation of bioclimatic factors they show that there are four important determinants: annual biotemperature, mean annual accumulation, humidity provinces and attitudinal levels. Noticing the decline of forests, overpopulation, among others, many companies are choosing to reduce products that lead to the loss of life zones. In the district of Satipo, three life zones were identified and two of a transitory nature of the one hundred and twenty-three existing ones.
A Review – Home Renewable Energy Management Systems in Smart Grids
Authors: Kallio Sonja , Siroux Monica 
Published: July 2022

Abstract
This paper presents a review on the Home Energy Management Systems (HEMS) for renewable energy production and used optimization methods. The HEMS is an important Smart Grid application. It is used to monitor and optimally manage the energy flows in buildings including renewable energy production, energy storage and smart home appliances. In this paper, two different methods for the optimal HEMS are selected and compared: Model Predictive Control (MPC) and Reinforcement Learning (RL). As a conclusion, the RL method can overcome the disadvantages of the MCP in the highly dynamic environment of buildings and renewable energies, and is a promising method for HEMS in Smart Grids. Finally, an experimental set-up of the hybrid renewable energy system is presented and its operation is discussed under the Time-of-Use energy management strategy.
Modelling of “Water-in-glass” Solar Water Heaters Installation
Authors: Gambade Julien , Noël Hervé , Glouannec Patrick , Magueresse Anthony 
Published: July 2022

Abstract
As part of the ICaRE4Farms European project, a model of a solar water heater installation has been developed. This model is intended to estimate thermal performance of a specific arrangement of several “Water-in-Glass” solar collectors. In this solar field, the WiG collectors are arranged either in serial or in parallel, thus requiring the creation of two models. In this paper, the serial Evacuated Tubes collector’s model is presented. The operational efficiency of a single in-series solar collector is expressed through a second-order expression in accordance with the ISO 9806-1. Its coefficients have been determined thanks to an optimization tool in order to compute thermal performance with reliability. In-situ data from a working installation were compared to simulated values. Two experimental sequences are presented: in May and in September 2021. Results showed that the model is reliable in terms of both collectors’ temperature and energy balance.
Simulating ON-OFF Regimes on a Micro-CHP Using Biomass
Authors: Voronca Stefan-Dominic , Siroux Monica , Darie George , Kallio Sonja 
Published: July 2022

Abstract
A micro-cogeneration biomass-based Stirling engine unit developed by the ÖkoFEN company has been tested to characterize its energetic performances. The stages of functioning have been described using polynomial equations in function of time, to accurately simulate ON-OFF regimes of functioning, in the context in which the micro-cogeneration unit would be part of a multi-country grid in accordance to the ACA-MODES Interreg program.
Investigation of Hydrogen Production from Sodium Borohydride in the Presence of Ni/Al2O3
Authors: Dönmez Fahriye , Kiren Burcu , Ayas Nezihe 
Published: July 2022

Abstract
With the increasing trend towards the use of renewable energy and the encouragement of international agreements due to environmental effects, the world tends to provide the energy it needs from renewable sources. Hydrogen is an environmentally friendly energy carrier that is produced from various energy sources and can be a sustainable solution to energy needs. Catalyst evaluation studies are carried out in studies that release high purity hydrogen by hydrolysis of metal hydrides such as sodium borohydride (NaBH4), and potassium borohydride (KBH4). In this study, Al2O3 supported Ni catalysts were synthesized by the impregnation method and the catalysts were characterized by applying X-Ray Diffractometry (XRD), X-Ray Fluorescence (XRF), Scanning Electron Microscopy (SEM), and Brunauer-Emmett-Teller (BET) methods. The performance of the catalysts was evaluated in the production of hydrogen by the hydrolysis of sodium borohydride. The influences of reaction temperature (20, 40, and 60 °C) and Ni content of the catalyst (20, 30, and 40 %) on the hydrolysis reaction was investigated under experimental conditions of 100 mg NaBH4, 100 mg catalyst, 5 mL 0.25 M NaOH. The highest hydrogen yield (100%) and hydrogen production rate (364.3 mL/gcat.min) was obtained with 40% Ni/Al2O3 catalyst at 60 °C reaction temperature.
Effect of Biodiesel B7 and B10 on Common Rail Diesel Engine Emission Characteristics at Different Engine Speeds
Authors: Sethin Aphinan , Somnuk Krit 
Published: July 2022

Abstract
In this study, biodiesel B7 and B10, which contain 7% and 10% biodiesel by volume, respectively, were used as high-speed diesel fuels to study the exhaust gas emissions of carbon monoxide (CO), carbon dioxide (CO2), nitrogen oxide (NOx), oxygen (O2), exhaust gas temperature (EGT), and fuel consumption (FC) with the common rail diesel engine at a ranging engine speed from 1200 to 3000 rpm without engine load. At the maximum engine speed of 3000 rpm, the CO, CO2, and NOx emissions of the biodiesel B10 were 23.79%, 1.94%, and 4.51% lower than the biodiesel B7. Concerning fuel consumption, biodiesel B10 consumed higher fuel than B7 at a maximum engine speed of 3000 rpm. The FC of the biodiesel B10 was 3.09 kg/h, which was 2.86% higher than that of the biodiesel B7 at the maximum engine speed. From the environmental impacts point of view, reducing air pollutants from exhaust gas emissions of the biodiesel B10 was better than B7 fuel. However, the fuel consumption of B10 was a little bit higher than B7.
Study of a Thermoacoustic Refrigeration System with a Spiral Rubber Stack
Authors: Traipattanakul Bhawat , Krongsinpinyo Jessadaporn , Lupkim Thanapol , Pluemchit Patiya , Wunvisut Yanisa 
Published: July 2022

Abstract
Thermoacoustic refrigeration technology converting sound energy into thermal energy offers environmental benefits including zero risks of ozone depletion or global warming potential due to the absence of hazardous refrigerants in the process. This study aims to investigate the effects of a spiral rubber stack on the cooling performance of a thermoacoustic refrigeration system made from an acrylic resonator tube. Air is used as a working gas. The results show that as time progresses, the temperature on the hot side of the stack increases, while that on the cold side of the stack reduces, leading to an increase in temperature difference across the stack. The findings of this study can potentially further expand knowledge and scientific experimental data in the field of thermoacoustic refrigeration.
A Photovoltaic Panel Integrated with Phase Change Material as Peak Shaving for Domestic Hot Water Energy Demand
Authors: Colarossi Daniele , Tagliolini Eleonora , Principi Paolo 
Published: July 2022

Abstract
Phase change materials (PCMs) applied to photovoltaic (PV) panels are a promising solution to recover the large share of energy from the incident radiation, not converted into electricity. PCMs can store a huge amount of energy, exploiting the solid-liquid phase change, which occurs at a nearly constant temperature. In addition, reducing the temperature of a PV panel increases its electric conversion efficiency. This papers experimentally investigates the match between the heat production of a PV-PCM system and the domestic hot water (DHW) demand of a typical residential building. Different curves of demand are analyzed, all have a peak in the evening period. The solar radiation profile of a typical sunny day is reproduced under a solar simulator. Once the PCM is fully melt, a hydraulic circuit, which connects the heat exchanger immersed in the PCM to a water tank, is activated to extract the heat stored. Different tests are performed by varying the size of the water tank storage. Results show that a storage volume of 50 L, 75 L, 100 L and 125 L ensures a reduction of energy demand of 15.3%, 21.2%, 22% and 21.5% respectively, compared to traditional electric water heaters.
Analysis of Cube Compressive Strength on Concrete with Recycled Aggregate and Rubber Particles
Authors: Su Haolin 
Published: July 2022

Abstract
This paper analyzed the cube compressive strength of concrete containing recycled aggregate as part of coarse aggregates and rubber particles as part of fine aggregate, simultaneously. The effect of content of both aggregates on concrete compressive strength was studied. 25 sets of samples were made with a constant water/cement ratio of 0.39. Cube compressive strength of different samples at age of 28 days were obtained in accordance with relevant standard. Influence of replacement ratio of recycled aggregate and rubber on strength was investigated basing on the analyses of testing data and microstructure inspections, respectively. Results indicate that both recycled aggregate and rubber particles weaken the compressive strength of concrete while rubber particles plays a more important role. Replacement of fine aggregate over 20 vol% by rubber particles should be used carefully.
A low power 50 Hz argon plasma for surface modification of polytetrafluoroethylene
Authors: LAU Yen Theng , CHIU Wee Siong , LEE Hong Chun , WOO Haw Jiunn , CHIN Oi Hoong , TOU Teck Yong 
Published: July 2022

Abstract
The characteristics of a low power 50 Hz argon plasma for surface treatment of polytetrafluoroethylene (PTFE) film is presented in this article. The current–voltage behavior of the discharge and time-varying intensity of the discharge showed that a DC glow discharge was generated in reversed polarity at every half-cycle. At discharge power between 0.5 and 1 W, the measured electron temperature and density were 2–3 eV and ∼108 cm−3, respectively. The optical emission spectrum of the argon plasma showed presence of some ‘impurity species’ such as OH, N2 and H, which presumably originated from the residual air in the discharge chamber. On exposure of PTFE films to the argon glow plasma at pressure 120 Pa and discharge power 0.5 to 1 W, the water contact angle reduced by 4% to 20% from the original 114° at pristine condition, which confirms improvement of its surface wettability. The increase in wettability was attributed to incorporation of oxygen-containing functional groups on the treated surface and concomitant reduction in fluorine as revealed by the XPS analysis and increase in surface roughness analyzed from the atomic force micrographs. Ageing upon storage in ambient air showed retention of the induced increase in surface wettability.
Long-term ENSO prediction with echo-state networks
Authors: Hassanibesheli Forough , Kurths Jürgen , Boers Niklas 
Published: July 2022

Abstract
The El Niño-Southern Oscillation (ENSO) is a climate phenomenon that profoundly impacts weather patterns and extreme events worldwide. Here we develop a method based on a recurrent neural network, called echo state network (ESN), which can be trained efficiently to predict different ENSO indices despite their relatively high noise levels. To achieve this, we train the ESN model on the low-frequency variability of ENSO indices and estimate the potential future high-frequency variability from specific samples of its past history. Our method reveals the importance of cross-scale interactions in the mechanisms underlying ENSO and skilfully predicts its variability and especially El Niño events at lead times up to 21 months. This study considers forecasts skillful if the correlation coefficients are above 0.5. Our results show that the low-frequency component of ENSO carries substantial predictive power, which can be exploited by training our model on single scalar time series. The proposed machine learning method for data-driven modeling can be readily applied to other time series, e.g. finance and physiology. However, it should be noted that our approach cannot straightforwardly be turned into a real-time operational forecast because of the decomposition of the original time series into the slow and fast components using low-pass filter techniques.
Systematic evaluation of cell-type deconvolution pipelines for sequencing-based bulk DNA methylomes
Authors: Jeong Yunhee , de Andrade e Sousa Lisa Barros , Thalmeier Dominik , Toth Reka , Ganslmeier Marlene , Breuer Kersten , Plass Christoph , Lutsik Pavlo 
Published: July 2022

Abstract
DNA methylation analysis by sequencing is becoming increasingly popular, yielding methylomes at single-base pair and single-molecule resolution. It has tremendous potential for cell-type heterogeneity analysis using intrinsic read-level information. Although diverse deconvolution methods were developed to infer cell-type composition based on bulk sequencing-based methylomes, systematic evaluation has not been performed yet. Here, we thoroughly benchmark six previously published methods: Bayesian epiallele detection, DXM, PRISM, csmFinder+coMethy, ClubCpG and MethylPurify, together with two array-based methods, MeDeCom and Houseman, as a comparison group. Sequencing-based deconvolution methods consist of two main steps, informative region selection and cell-type composition estimation, thus each was individually assessed. With this elaborate evaluation, we aimed to establish which method achieves the highest performance in different scenarios of synthetic bulk samples. We found that cell-type deconvolution performance is influenced by different factors depending on the number of cell types within the mixture. Finally, we propose a best-practice deconvolution strategy for sequencing data and point out limitations that need to be handled. Array-based methods—both reference-based and reference-free—generally outperformed sequencing-based methods, despite the absence of read-level information. This implies that the current sequencing-based methods still struggle with correctly identifying cell-type-specific signals and eliminating confounding methylation patterns, which needs to be handled in future studies.
Bioinformatics strategies for studying the molecular mechanisms of fungal extracellular vesicles with a focus on infection and immune responses
Authors: Saravanakumar Kandasamy , Santosh Sugavaneswaran Siva , Ahamed MohamedAli Afaan , Sathiyaseelan Anbazhagan , Sultan Ghazala , Irfan Navabshan , Ali Davoodbasha Mubarak , Wang Myeong-Hyeon 
Published: July 2022

Abstract
Fungal extracellular vesicles (EVs) are released during pathogenesis and are found to be an opportunistic infection in most cases. EVs are immunocompetent with their host and have paved the way for new biomedical approaches to drug delivery and the treatment of complex diseases including cancer. With computing and processing advancements, the rise of bioinformatics tools for the evaluation of various parameters involved in fungal EVs has blossomed. In this review, we have complied and explored the bioinformatics tools to analyze the host–pathogen interaction, toxicity, omics and pathogenesis with an array of specific tools that have depicted the ability of EVs as vector/carrier for therapeutic agents and as a potential theme for immunotherapy. We have also discussed the generation and pathways involved in the production, transport, pathogenic action and immunological interactions of EVs in the host system. The incorporation of network pharmacology approaches has been discussed regarding fungal pathogens and their significance in drug discovery. To represent the overview, we have presented and demonstrated an in silico study model to portray the human Cryptococcal interactions.
Adaptive overheating cover for a solar water heater
Authors: Chidiac Nancy , Nehme Bechara , Said Walid , Jelwan Jad , Akiki Tilda , Zeghondy Barbar 
Published: July 2022

Abstract
Solar water heating systems have been widely used around the world. However, exposure to sunlight can overheat the device, affecting the efficiency and durability of the system. This article proposes an adaptive deck controller that protects the system from overheating without compromising the availability of domestic hot water. Solar water heaters are considered one of the most effective ways to reduce a home’s carbon footprint. They are a renewable energy source that reduces reliance on fossil fuels and saves money. Thus, this paper aims to develop a dynamic cover for solar water heaters that prevent overheating using an artificial neural network to optimize the design of control systems. Based on a self-organizing map network, the controller automatically adjusts the temperature of the solar collector through a fabric screen covering the main subsystems, depending on many parameters such as weather conditions, collector temperature and domestic hot water depending on demand. A suggested technique of four different shade percentages (0%, 20%, 25% or 32%) can avoid overheating and maintain the amount of hot water the home needs. Although renewable energy is free, proper controls are required to ensure maximum efficiency or proper use. In addition, the control of renewable energy leads to longer service life.
A review on non-isolated low-power DC–DC converter topologies with high output gain for solar photovoltaic system applications
Authors: Sutikno Tole , Purnama Hendril Satrian , Widodo Nuryono Satya , Padmanaban Sanjeevikumar , Sahid Mohd Rodhi 
Published: July 2022

Abstract
The major challenges of the high-gain DC–DC boost converters are high-voltage stress on the switch, extreme duty ratio operation, diode reverse-recovery and converter efficiency problems. There are many topologies of high-gain converters that have been widely developed to overcome those problems, especially for solar photovoltaic (PV) power-system applications. In this paper, 20 high-gain and low-power DC–DC converter topologies are selected from many topologies of available literature. Then, seven prospective topologies with conversion ratios of &gt;15 are thoroughly reviewed and compared. The selected topologies are: (i) voltage-multiplier cell, (ii) voltage doubler, (iii) coupled inductor, (iv) converter with a coupled inductor and switch capacitor, (v) converter with a switched inductor and switched capacitor, (vi) cascading techniques and (vii) voltage-lift techniques. Each topology has its advantages and disadvantages. A comparison of the seven topologies is provided in terms of the number of components, hardware complexity, maximum converter efficiency and voltage stress on the switch. These are presented in detail. So, in the future, it will be easier for researchers and policymakers to choose the right converter topologies and build them into solar PV systems based on their needs.