bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mathematical analysis of an electric car in the aspect of the application of renewable energy sources
Authors: Geca M J , Soeurn M 
Published: December 2022

Abstract
This paper presents a model of an electric car based on the BMW i3 whose low-voltage electrical system and traction battery were supported by a photovoltaic system installed on the body of the vehicle. The photovoltaic system was installed on the roof, side doors and bonnet. The 350 Wp (Watts peak) system was made of semiflex panels. The input parameters for the model were the measurements taken during the simulated annual operation of the vehicle as driving time, weather conditions and their switching times. During stationary tests, the power of individual electrical consumers was measured and its maximum was 1.1 kW. The model included data on the electricity consumption for driving a given distance. The amount of electricity generated by the photovoltaic system was related to a stationary system of 4 kWp. The degree of shading and curtailment of energy generated by the photovoltaic system was measured during testing on a vehicle driving in urban conditions. In the vehicle under analysis, an additional energy stream supplied the 12 V electrical consumers and recharged the battery. The traction battery used to drive the vehicle during such a power supply scenario may increase the vehicle range by about 16% on average.
Development of the automatic method of detection and grouping of external welding imperfections
Authors: Brzeskot P , Łatka L 
Published: December 2022

Abstract
The non-destructive testing of welded joints is a key issue in welding technology and processes. It is especially crucial for estimation of product quality. Among others methods, visual testing is the most fundamental. In most cases, it is made manually, which can introduce some problems resulting from the lack of objectivity and fatigue of the controlling person. This paper is an attempt of changing a mode of visual inspection. The proposed system is based on image analysis of welded joints. The welding imperfections were correlated with quality levels according to the ISO 5817 standard. For the original inspection system, six the most fundamental imperfections have been selected. The main idea of this system is a detection of selected welding imperfections and, based on acceptance criteria, assigning welded joints for the appropriate quality level. In order to validate the correct operation of the proposed system, the same welded joints have been subjected to conventional manual visual inspection. The compliance of the results was more than 90%, and the speed of visual examinations was more than 10 times higher than in the manual method.
Airframe design and CFD analysis of light unmanned reconnaissance aircraft
Authors: Sawa M , Szala M , Jakliński P , Pietrykowski K 
Published: December 2022

Abstract
This work deals with a comparative numerical finite volume method of airflow for a 3D airframe model. The analyzed airframe model allowed 3-vector thrust directing while using the geometry of the inverted delta, which increases lift force area, allows for vertical take-off and landing, as well as full control of its flight using rotating propulsion nacelles and an airframe control system. The airframe model dimensions were 3900 x 3250 x 915 mm, enabling the installation of components of specific dimensions. CFD analysis using a four-equation transition SST model with automatic surface roughness and initial conditions: T = 288K, viscosity η= 1.7894∙ 10−5

k
g

m

·

s

and was carried out in the FLUENT module of ANSYS 16.0. For each simulation, 2000 iterations were performed with the intention of achieving a convergence of all residuals below 1∙10-3 using a calculation mesh consisting of 500,000 elements and 150,000 nodes. The model uses aerodynamic profile geometries: CLARK Y, NACA 6409, and NACA 2414, which are provided to obtain the optimal aerodynamic characteristics and determine the optimal range of angles of attack for the designed solution. Those angles of attack were in the range of α = 5 ÷ 10° in which the highest excellence coefficient of the carrier airfoil profile occurs. For those values of parameters optimal lift and drag forces were determined
Multi-objective optimization of various type finned heat sink with phase change materials (PCM)
Authors: Selvan N Muthamil , G Trilok , Gnanasekaran N 
Published: December 2022

Abstract
The paper focuses on optimizing hybrid PCM filled heat sinks with a multi-objective approach. In the current study, the fins are oriented both horizontally at the sidewalls and vertically at the bottom side in the enclosure. Two heat sinks with different types of fin shapes are introduced in the enclosure. A rectangular shape finned heat sink, and a tapered shape finned heat sink is incorporated in both sidewalls and bottom walls. The study’s main goal is to optimize the PCM-based heat sink to prolong the charging cycle (melting) and shorten the discharging cycle (solidification). The PCM used in the study is n-eicosane, and the material for the heat sink is aluminum. A heat flux with constant supply of 2000 W/m2 is provided at the enclosure bottom, and the remaining walls are insulated. A 2-D numerical simulation is done using the commercial software ANSYS Fluent. The multi-objective optimization is carried out using the technique for order preference by similarity to ideal solution (TOPSIS) optimization technique. For a constant PCM volume for both the cases, fin spacing, fin positioning, and fin heights are varied. The output results determined the optimum configuration for the stretched melting period and minimized solidification period.
Swamp Water Parameter Dynamics Induced by Rainfall and Tides in Dadahup Irrigation Area, Kalimantan
Authors: Zevri A. , Rahardjo A. P. , Legono D. 
Published: December 2022

Abstract
This study aims to understand the flow and water quality behaviour in response to the combination of rainfall and tides in the Dadahup Irrigation Area. Rainfall and tides have a strong influence on the Dadahup Irrigation Area. The impact of floods and droughts which hit the area in recent years changed its water quality because of salinity intrusion and the presence of pyrite in the irrigation area. The existing gates and levees along the main primary channel cannot fully regulate the water level on the other channels and on the paddy fields. This condition has resulted in crop failure in several places. Parameters of flow and water quality data such as rainfall, water level, pH, and salinity were measured from an newly installed telemetric monitoring system. A sampling period was selected in which both rainy and dry conditions were present. In that period, tides also oscillated the water level. Hydraulic simulations will analyze the hydrodynamic condition along with the observation results and will describe the flow profile and water quality changes. Simulations show that a high-intensity rainfall can immediately raise water levels in the main primary channel, and it impacts increasing pH and decreasing salinity.
Bibliometric Analysis of Change Management and Readiness to Explain The Adoption of Sustainable Public Procurement
Authors: Marita Leny , Safrizal H B A , Andriani N , Masrurotin M 
Published: December 2022

Abstract
How to advance the adoption of Sustainable Public Procurement (SPP)? This issue is not fully apprehended yet. This bibliometric analysis investigates the variables related to SPP adoption from the Change Management (CM) and Change Readiness (CR) perspective, correspondingly mapping the research themes emerging in this topic. The source articles search used a Systematic Literature Review (SLR) protocol referring to the PRISMA 2020 statement. We explore paper articles in the databases of Emerald, SAGE, Science Direct, Springer, Taylor & Francis, Wiley, MDPI, IOPscience, and ProQuest. Then We conducted clustering and in-depth analysis of co-occurrence keywords and terms used in the manuscript reviewed for mapping research themes and variables related to CM and CR to adopt SPP. The contribution of this review shows research themes that are currently emerging researched on the topic of CM and CR for the adoption of SPP based on the time distribution of each research themes cluster.
Artificial Intelligent For Rainfall Estimation In Tropical Region : A Survey
Authors: Mardyansyah R Y , Kurniawan B , Soekirno S , Nuryanto D E , Satria H 
Published: December 2022

Abstract
Rainfall monitoring in real-time is a mandatory in tropical areas such as Indonesia. As a country with various topographical conditions ranging from low-lying urban areas, highlands, to mountainous valleys, Indonesia is prone to hydrometeorological disasters in the form of flash floods and landslides. The strategic geographical position at the equator, between the Pacific and Indian oceans, and surrounded by vast oceans, combined with various natural phenomena related to the dynamics of the atmosphere and the ocean, makes high-density rainfall observations indispensable for both disaster mitigation and climate monitoring. As a vast tropical and archipelagic country, Indonesia currently has around 1000 automatic rainfall sensors and still requires more sensors to increase the spatial resolution of the observation network. Increasing the density of the observation network using both rain gauges and weather radar poses a problem of high operational costs. Therefore, several alternative rainfall observation systems are required. In the last decade, there have been several studies related to rainfall measurements using artificial intelligence from various meteorological variables, including the exploitation of microwave signals from radio telecommunications links, both terrestrial and satellite using high frequency bands. In this survey paper, we review and discuss research articles related to rainfall estimation using state-of-the-art methods in artificial intelligence using meteorological observation data, remote sensing, terrestrial and satellite microwave communication links. In conclusion, we present several future research challenges that can be applied to increase the density of rainfall observation networks.
Effect of pumakkal dose of coffee skin waste compost on mustard pagoda growth (brassica narinosa L.)
Authors: Sari Ni Wayan Indriyana , Zen Suharno , Sutanto Agus , Widowati Hening , Noor Rasuane 
Published: December 2022

Abstract
This study aims to determine the effect of variative doses of compost pumakkal fertilizer on the growth of Pagoda mustard (Brassica narinosa L.) and determine the most significant dose variation on the growth of growth. This is experimental research using a completely randomized design (CRD). This study used 1 control 3 treatments with 8 replications for 40 days. This study employed 32 pagoda mustard plants. The parameters observed in this study were the number of leaves and the wet weight of the mustard (grams). The data were analyzed using the one-way ANOVA technique. It is concluded that the ANOVA analysis test results showed Fhit > Fdaf, meaning that the administration of various doses of pumakkal fertilizer for coffee husk compost in each treatment had a significant effect on the growth of the entire leaves and the wet weight of the pagoda mustard plants. The BNJ further test stated that the best growth in the number of leaves and wet weight of pagoda mustard was in the P3 treatment, namely by giving 125 grams of pumakkal fertilizer of coffee husk waste compost to the pagoda mustard greens.
Using the IPCC Formula to Calculate CO2 Emissions from Everyday Motorized Vehicles as the Baseline for Climate Change Mitigation Policies
Authors: Angin Ria , Irawati  , Setyaningtyas Rusdiana , Adawiyah Putri Robiatul 
Published: December 2022

Abstract
Climate change has attracted the attentions of every nation on earth, including Indonesia. Indonesia’s commitment to minimize greenhouse gas emissions through the ratification of the Kyoto decree in Law no. 17 / 2004. Other regulations for the National Action Plan for Reducing Carbon dioxide are regulated in Presidential Regulation No. 61/2011 and No. 7/2021 for the National Greenhouse Gas Inventory. The East Java provincial government adopted this policy through East Java’s Province Regulation No. 67/2012. This article predicted an increase in carbon dioxide from the daily vehicles. The study will be done in Jember, a third city in East Java Province. Data is calculated using IPCC formula. The secondary data from 2018 to 2020 was analyzed, as well as predictions for 2030. The number of motorized vehicles growth is 4.5% each year. CO2 emissions from the daily transportation sector will reach 3,846,049.49 tons in 2030. Motorcycles contribute 2,055,244.87 tons. CO2 gas emissions from the 8 main streets of the Jember Gold Triangle are 62,190.52 tons.
Technology Dissemination of Backyard Farming for Supporting Food Security in Palu Central Sulawesi
Authors: Rahayu H S P , Dalapati A , Dewi Mardiana , Herawati  , Amalia A F 
Published: December 2022

Abstract
The optimally of the backyard provide enormous benefits to support the nutritional needs of the family. It is one of strategies in gaining food security in the household and supporting the environment sustainability. The study was conducted in Palu Central Sulawesi in October 2021 as an evaluation survey of the technology dissemination for backyard optimization. The data were analyzed by Expected Food Pattern and scoring method for transferred technologies. The result shown that the technology dissemination increase the Food Pattern Expectation score from 74.2 to 78.0 and increase the family income up to 23%. The technologies’s implementation score consist of 20% in vertical farming, 27% in soil block nursery, 27% in the composition of planting media, 33% in nature pesticide, 27% in MOL production, and 20% in household waste composting. To increase the technology adoption, an assistance for the groups as a model and deployment for larger target are needed.
Study on plasma cleaning of surface contaminants on pure copper
Authors: Yi Chen Xi , Wang Shuai Kang , XU Xue Bo , Tian Ye Fei , Bao Ming Dong 
Published: December 2022

Abstract
To demonstrate the relationship between the type of working gas and the efficiency of plasma cleaning, the kinetic energy of the incident ions was controlled by adjusting the bias, and the effect of different ion sources on the sputtering yield under the same bias was compared. The plasma flow generated by glow discharge was used to clean the sample surface to evaluate the plasma cleaning efficiency. Scanning electron microscope (SEM), x-ray photoelectron spectroscopy (XPS), x-ray Powder Diffraction (XRD), Ultraviolet-visible Spectrophotometer (UV), and Surface Profiler were used to characterize the surface morphology, element types, phase composition, specular reflectance, and three-dimensional (3D) morphology before and after plasma cleaning. The results show that the sputtering yield increases with the increase of bias, and when the bias value is lower than 400 V, the mass of the samples has almost no change before and after cleaning. It takes more energy to remove the surface oxide than the pure metal copper. The results also show that argon plasma has a better effect on removing pollutants on the sample surface than nitrogen plasma. However, a long time of plasma cleaning is often accompanied by re-deposition. The changes in copper reflectance induced by plasma cleaning are also discussed.
Prediction models of the ionization coefficient and ionization cross-section based on multi-layer molecular parameters
Authors: QIU Rui , ZHOU Wenjun , ZHENG Yu , HOU Hua , WANG Baoshan 
Published: December 2022

Abstract
Prediction models were proposed to estimate the reduced Townsend ionization coefficient and ionization cross-section. A shape function of the reduced Townsend ionization coefficient curves was derived from the ionization collision probability model. The function had three parameters: the first ionization potential energy, A

α
, and B

α
. A

α
and B

α
were related to the molecule symmetry and size. The polarization of molecules could characterize the molecule symmetry. The multi-layer molecular cross-section (MMCS) was proposed to describe the contributions of electrons and molecule radius on different molecule surfaces to collisions. A prediction model of the ionization cross-section was also proposed based on A

α
. The molecule parameters were calculated by the Becke3–Lee–Yang–Parr (B3LYP) method and the 6–311G** basis set. We used available data of 30 and 23 gases, respectively, to build the prediction models of reduced Townsend ionization coefficients and ionization cross-sections. The relationships between the molecular parameters A

α
and B

α
and the ionization cross-section were built up via nonlinear fittings. The determination coefficients R
2 of A

α
, B

α
, and the ionization cross-section were 0.877, 0.887, and 0.838, respectively. The results showed that the accuracy of models was positively correlated with the molecule symmetry and reduced electric field. This was mainly related to the accuracy of the MMCS model in predicting A

α
. The MMCS model needed to be improved to describe the collision direction selectivity caused by the molecule asymmetry. Under a high reduced electric field, that error of A

α
had less influence on the prediction results. However, the prediction results for single atoms with high symmetry were poor. This may be due to the absolute error of the model close to single atoms’ reduced Townsend ionization coefficients. The models could provide the basis for gas insulation prediction and discharge calculations, especially for symmetric molecules under a high electric field.
Commutators of relative and unrelative elementary unitary groups
Authors: Vavilov N. , Zhang Z. 
Published: December 2022

In the present paper, which is an outgrowth of the authors’ joint work with Anthony Bak and Roozbeh Hazrat on the unitary commutator calculus [9, 27, 30, 31], generators are found for the mixed commutator subgroups of relative elementary groups and unrelativized versions of commutator formulas are obtained in the setting of Bak’s unitary groups. It is a direct sequel of the papers [71, 76, 78, 79] and [77, 80], where similar results were obtained forGL(n,R)GL(n,R)and for Chevalley groups over a commutative ring with 1, respectively. Namely, let(A,Λ)(A,\Lambda )be any form ring and letn≥3n\ge 3. Bak’s hyperbolic unitary groupGU(2n,A,Λ)GU(2n,A,\Lambda )is considered. Further, let(I,Γ)(I,\Gamma )be a form ideal of(A,Λ)(A,\Lambda ). One can associate with the ideal(I,Γ)(I,\Gamma )the corresponding true elementary subgroupFU(2n,I,Γ)FU(2n,I,\Gamma )and the relative elementary subgroupEU(2n,I,Γ)EU(2n,I,\Gamma )ofGU(2n,A,Λ)GU(2n,A,\Lambda ). Let(J,Δ)(J,\Delta )be another form ideal of(A,Λ)(A,\Lambda ). In the present paper an unexpected result is proved that the nonobvious type of generators for[EU(2n,I,Γ),EU(2n,J,Δ)]\big [EU(2n,I,\Gamma ),EU(2n,J,\Delta )\big ], as constructed in the authors’ previous papers with Hazrat, are redundant and can be expressed as products of the obvious generators, the elementary conjugatesZij(ξ,c)=Tji(c)Tij(ξ)Tji(−c)Z_{ij}(\xi ,c)=T_{ji}(c)T_{ij}(\xi )T_{ji}(-c), and the elementary commutatorsYij(a,b)=[Tij(a),Tji(b)]Y_{ij}(a,b)=[T_{ij}(a),T_{ji}(b)], wherea∈(I,Γ)a\in (I,\Gamma ),b∈(J,Δ)b\in (J,\Delta ),c∈(A,Λ)c\in (A,\Lambda ), andξ∈(I,Γ)∘(J,Δ)\xi \in (I,\Gamma )\circ (J,\Delta ). It follows that[FU(2n,I,Γ),FU(2n,J,Δ)]=[EU(2n,I,Γ),EU(2n,J,Δ)]\big [FU(2n,I,\Gamma ),FU(2n,J,\Delta )\big ]=\big [EU(2n,I,\Gamma ),EU(2n,J,\Delta )\big ]. In fact, much more precise generation results are established. In particular, even the elementary commutatorsYij(a,b)Y_{ij}(a,b)should be taken for one long root position and one short root position. Moreover, theYij(a,b)Y_{ij}(a,b)are central moduloEU(2n,(I,Γ)∘(J,Δ))EU(2n,(I,\Gamma )\circ (J,\Delta ))and behave as symbols. This makes it possible to generalize and unify many previous results, including the multiple elementary commutator formula, and dramatically simplify their proofs.
Protamine-derived peptide RPR (Arg-Pro-Arg) ameliorates oleic acid-induced lipogenesis via the PepT1 pathway in HepG2 cells
Authors: Mijiti Maihemuti , Mori Ryosuke , Nakashima Yuga , Banno Arata , Ye Yuyang , Takeuchi Asahi , Matsuba Shoya , Kiriyama Keisuke , Sutoh Keita , Nagaoka Satoshi 
Published: December 2022

ABSTRACT
The protamine-derived peptide arginine-proline-arginine (RPR) can ameliorate lifestyle-related diseases such as obesity and hypercholesterolemia. Thus, we hypothesized that the hypolipidemic activity of RPR could attenuate events leading to non-alcoholic fatty liver disease. Addition of 2 m m oleic acid (OA) to the culture medium induced fatty liver conditions in HepG2 cells. The OA + RPR group showed significantly decreased cellular or medium triglyceride (TG) level compared with the OA group. Stearoyl-CoA desaturase-1 (SCD1) or sterol regulatory element-binding protein 1 (SREBP1) protein level was significantly lower in the OA + RPR group than in the OA group. In the R + P + R amino acid mixture-treated group, the TG level was not significantly different from that in the OA-treated group. The OA + RP- or OA + PR-treated groups showed significantly decreased cellular TG level compared with the OA group. Moreover, the effect of RPR disappeared when the peptide transporter 1 (PepT1) was knocked down with a siRNA. Collectively, our results demonstrated that RPR effectively ameliorated hepatic steatosis in HepG2 cells via the PepT1 pathway.
NcPath: a novel platform for visualization and enrichment analysis of human non-coding RNA and KEGG signaling pathways
Authors: Li Zutan , Zhang Yuan , Fang Jingya , Xu Zhihui , Zhang Hao , Mao Minfang , Chen Yuanyuan , Zhang Liangyun , Pian Cong 
Published: December 2022

Abstract

Summary
Non-coding RNAs play important roles in transcriptional processes and participate in the regulation of various biological functions, in particular miRNAs and lncRNAs. Despite their importance for several biological functions, the existing signaling pathway databases do not include information on miRNA and lncRNA. Here, we redesigned a novel pathway database named NcPath by integrating and visualizing a total of 178 308 human experimentally validated miRNA–target interactions (MTIs), 32 282 experimentally verified lncRNA–target interactions (LTIs) and 4837 experimentally validated human ceRNA networks across 222 KEGG pathways (including 27 sub-categories). To expand the application potential of the redesigned NcPath database, we identified 556 798 reliable lncRNA–protein-coding genes (PCG) interaction pairs by integrating co-expression relations, ceRNA relations, co-TF-binding interactions, co-histone-modification interactions, cis-regulation relations and lncPro Tool predictions between lncRNAs and PCG. In addition, to determine the pathways in which miRNA/lncRNA targets are involved, we performed a KEGG enrichment analysis using a hypergeometric test. The NcPath database also provides information on MTIs/LTIs/ceRNA networks, PubMed IDs, gene annotations and the experimental verification method used. In summary, the NcPath database will serve as an important and continually updated platform that provides annotation and visualization of the pathways on which non-coding RNAs (miRNA and lncRNA) are involved, and provide support to multimodal non-coding RNAs enrichment analysis. The NcPath database is freely accessible at http://ncpath.pianlab.cn/.

Availability and implementation
NcPath database is freely available at http://ncpath.pianlab.cn/. The code and manual to use NcPath can be found at https://github.com/Marscolono/NcPath/.

Supplementary information
Supplementary data are available at Bioinformatics online.