bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of peak discharge using a rational method in Kodil Sub-Watershed, Purworejo Regency, Central Java
Authors: Sudaryatno  , Rahardjo N , Winanda  , Saputri S Y 
Published: March 2021

Abstract
The Kodil Sub-Watershed is one of the areas that has a high potential for flooding in Bogowonto Watershed. Flood disasters can cause significant losses to society, both in terms of physical, social and economic. This causes are need for information on the estimated peak discharge in The Kodil Sub-Watershed. Peak discharge estimation uses the rational method and The Cook Method to measure runoff coefficient or C value. Runoff coefficient using The Cook Method uses physical parameters, i.e land use, slope, drainage density, and infiltration. These parameters are extracted using remote sensing technology and Geographic Information System (GIS). Remote sensing data used for extraction of physical land parameters of Sentinel 2A Imagery and DEM ALOS PALSAR imagery. The results of the processing of peak discharge by the method obtained an estimate of the peak discharge of the Kodil Sub-Watershed of 209,659 m3/second and an average peak discharge of 135,024 m3/second.
A proposal for the determination of a Protected Natural Area (PNA) of the Wirikuta zone in the state of San Luis Potosi, México
Authors: Tristán A C , Saldaña M R , Ovalle A G C , Cárdenas O R , Waskita T B , Putri R F 
Published: March 2021

Abstract
The Wixárika route was declared by the Government of the State of San Luis Potosí with a first proposal for a polygon as a state reserve area on 27th of October, 2000, and in 2001 the category of Natural Sacred Site is awarded. Initially, this region had an original area of 138,750 ha. Subsequently, the Federal Government of Mexico, through the National Commission of Protected Natural Areas (CONANP), creates the “Preliminary Justification Study”, where a larger polygon is proposed, including the Sacred Natural Sites for the Wixárika within the reserve. On the 3rd of November 2012, a group formed by scientists and researchers discussed the study carried out, in which they argued that the limits of the Reserve should respond to natural criteria defined by the watersheds of the basins, rather than linear geometric criteria, thus protecting hydrogeological, eco-systematic and social dynamics. So it is proposed adding to the previous polygon the water area of the basin, which represented an increase of 65,437.41 ha to the previously recognized within the PNA, decreeing a total area of 256,946.32 ha, according to the basin limit. However, after analyzing the zone, it was observed that other important elements were not analyzed in-depth and must be considered, such as; physiological, hydrological and topographical elements, meteorological and climatological phenomena, hydrogeology of the area as an adequate element of the basin delimitation, establishment and location of mining concessions. Also, fauna, flora and vegetation of the area were not studied. Thus, an evaluation of the soil was considered recognizing its relationship with toxic elements that could persist in the area. Similarly, an attempt was contemplated, including economic and social elements of the place. Consequently, it was proposed to expand the polygon, covering a new area of 293,388.42 ha. This expansion included all the elements described.
Analysing the land use/land cover influence on land surface temperature in San Luis Potosí Basin, México using remote sensing techniques
Authors: Ovalle A G C , Tristán A C , Amador-Nieto J A , Putri R F , Zahra R A 
Published: March 2021

Abstract
Changes in Land Use/Land Cover (LULC) generate several impacts which affect the energy balance of the Earth and, consequently, modifying the climate of a region. Accordingly, one of the most important indicators of this modification is the Land Surface Temperature (LST). The present work aims to analyze the relationship between LULC and LST, determining the influence of LULC on LST using Geographical Information Systems (GIS) and Remote Sensing (RS) techniques. The selected study area was the San Luis Potosí Basin, México (SLPB). A temporal analysis has been developed for 2007 and 2020. Satellite images from Landsat 5 TM and 8 OLI/TIRS has been used to calculate LST through a single-channel algorithm for winter and spring. LULC has been determined from a supervised classification with neural network algorithm. Finally, change rates for LULC and LST were assessed. The results indicate that an LST increase of 11 °C from 2007 to 2020 has been detected in the region. Also, results showed that covers with spare vegetation or without vegetation have the highest temperatures (29°C to 32°C). In comparison, the covers with dense vegetation and water showed the lowest temperatures (23°C to 25°C). This type of research allows addressing the LULC effects on LST, as well as prove its importance in improving land use planning systems.
Impact of agricultural land-use change to the surface run-off: a case study of Cereng catchment area, Kulon Progo Regency, Special Region of Yogyakarta
Authors: Erdinata L , Pradipta A G , Ngadisih N , Setyawan C , Sartika F D 
Published: March 2021

Abstract
Agricultural land-use changes can cause a reduction in the green open space area, thereby reducing infiltration and increase surface run-off. One of the phenomena in agricultural land-use changes as indicated by the addition of the percentage of irrigation paddy fields in Cereng Catchment Area (CA) by 2.31%, 2.94%, and 4.39%, respectively, in 1995, 2008, and 2018. Besides, the addition of the settlement area and the plantation area’s reduction were also phenomena of land-use change. The impact of these changes is associated with curve number (CN) and direct run-off. The analysis conducted on the relationship between effective design rainfall and response to the land-use changes to produce direct run-off volume in 2, 5, 10, 20, and 50 years-return period, respectively, in 1995, 2008, and 2018 using the HEC-HMS model. The result showed that have addition to CN that were 81.85, 85.82, and 86.66, respectively, in 1995, 2008, and 2018. This addition caused an increase in the percentage of direct run-off volume from 1995 to 2018; those values were 24.28%, 16.8%, 13.76%, 11.61%, and 9.53%, respectively, at the 2, 5, 10, 20, and 50-years return period. The increase in the value of direct run-off volume causes a high possibility of a flood.
Catalogue of representative scales to visualize different coverages in Google Earth
Authors: Tristán A C , Cárdenas O R , Garza E J T , Alvarado A G R , Putri R F , Thio J 
Published: March 2021

Abstract
Representative scales were established, based on the zoom level of Google Maps, for generating a catalogue of indicators from the scale-image relationship, into the Google Earth visualization system. It was possible to analyze some functionalities of the visualization system proposed, such as the depth of detail from image resolution and the images return. Therefore, samples of four land use were analyzed. Furthermore, to associate the multilevel mechanism of the visualization in Google Earth, a digital ruler was used as a tool that measures the pixels per inch into the screen. In consequence, it is possible to analyze the changing behaviour from one screen to another. With this, it is feasible to associate a specific mechanism to improve the relationship between the handling of several images covering a limiting territory, and the scales that best represents the themes described. Finally, 893 samples were analyzed in 32 points of the territory, between the coordinates 14° to 33° N and 86° to 119° W. Finally, the error percentage, the variance, and the standard deviation were estimated for determining the variation between the values calculated in different samples.
Agricultural planning based on local agro-climatology assessment in Bongkot, Purwodadi, Purworejo
Authors: Qonita M 
Published: March 2021

Abstract
Bongkot, located in Purwodadi, Purworejo is a village dominated by wetland ricefield reaching 68% total area, with the majority of its population work as farmers. Climate parameters, especially rain intensity affect crop patterns. Farmers strongly depend on rain intensity to support productivity thus they need climate-based crop patterns. This study aims to plan agricultural calendar and crop patterns based on rainfall and dry patterns analysis. Rainfall data is derived from multi-temporal CHIRPS data. A monthly time series with thirty consecutive years (1990-2019) was used to identify local agro-climatology types. Climate of Bongkot generally has 5-6 consecutive wet months and 5-6 dry months. According to Oldeman criteria, this type belongs to C3, which is adequate to plant crops three times a year, with a couple of period for palawija crops on first and second planting, and one time paddy on November or December. The Oldeman classification can be applied as a climate-based crop adaptation.
Time-series Cross-orbit Sentinel-1 Synthetic-Aperture Radar (SAR) Data for Mapping Paddy Extent: Case Study of Magelang District, Central Java
Authors: Arjasakusuma S , Kusuma S S , Rafif R , Saringatin S , Wicaksono P 
Published: March 2021

Abstract
Dual-polarized (VV and VH) Sentinel-1 Synthetic-Aperture Radar (SAR) Ground Range Detected (GRD) data are available in 9-m spatial resolution and 12-day repeat orbit. A constellation of two satellites, Sentinel 1A and Sentinel 1B, capture these data with ascending and descending orbits, thus increasing the revisit time at the equator to every six days. Those specifications allow creating dense cross-orbit time-series data with a relatively high spatial resolution, beneficial for identifying land-covers and land-uses with unique temporal dynamics, such as paddies. This study was intended to assess the accuracy of time-series dual-polarized cross-orbit Sentinel 1A and 1B GRD data for mapping paddy extents. The monthly median value of these data was processed in Google Earth Engine and used as inputs in the paddy identification in Magelang District using bagging random forests (RF) and extreme gradient boosting (XGB) algorithms. Variables were ranked based on importance and selected using recursive feature elimination (RFE) and RF model to reduce the data dimensionality and understand the variable importance corresponding to a different month of the year. The resulting variable importance demonstrates better contributions of VV polarization and ascending orbit to the mapping model, and the producer’s and user’s accuracies achieved by RF classifier were 75% and 93.9%. For these reasons, an ascending (ASC) dataset provides better accuracy than its descending (DSC) counterpart and the combination of both (ASC+DSC). The user’s accuracy of the paddy identified using the RF model with ascending Sentinel 1-data is 4% and 6% higher than the XGB models built using ASC and cross-orbit (ASC+DSC) datasets, respectively.
Yolk color measurement using image processing and deep learning
Authors: Kaewtapee C , Supratak A 
Published: March 2021

Abstract
A high yellow yolk color of laying hens is required by customer. As yolk color measurement is determined by visual perception, color score may be expressed differently. The objective of this study was to develop the recognition of yolk color using red green blue (RGB) image and deep learning. The three hundred and fifty-three RGB images were obtained. The rectified linear unit (ReLU) and softmax were used as the activation function. An optimizer was configured with Adam, and categorical crossentropy was used as a loss function. The results showed that the loss had decreased to 0.45 and 0.63, whereas the accuracy had increased and reached 0.80 and 0.76 for training dataset and testing dataset, respectively. For evaluation, the loss value was 0.27 and 0.63, whereas the accuracy value was 0.90 and 0.76 for training dataset and testing dataset, respectively. The average f1-score was 0.76, whereas the highest precision (1.00) was observed in color score 5, 6 and 8. In conclusion, RGB image can be used as an alternative method to classify yolk color score with lower cost of analysis for egg producers in the near future.
Stakeholder preferences on major characteristics of promising rice lines
Authors: Aristya V E , Taryono  , Trisyono Y A , Mulyo J H 
Published: March 2021

Abstract
The main purpose of plant breeding programs is to improve varieties acceptable to rural communities. Participatory crop improvement for rice lines was initiated using techniques which were designed with the purposes to strengthen the collaboration between breeders and stakeholder especially farmers to produce varieties. Before the promising rice lines released and adopted by farmers, it is necessary to study the preferences on characteristics, especially its quality, because farmers have their own criteria or considerations before adopting a new variety. A bottom-up preferences in this study is to understand the major phenotypic performance, sensory quality, and provide recommendations for improving promising rice lines (Oryza sativa L.). The respondents are farmers, extension workers, members of academic institutions, and local government officers, came from four Regencies (Banyumas, Magelang, Batang, Klaten) that representing the main rice production areas in Central Java province. The attribute data on rice characteristics showed that grain size, plant age, and lemma shape of apiculus was essentially regarded as a major factor for better performing varieties. The respondents’ preference provides recommendations for breeders to release promising rice lines GM 8 and GM 2 into commercial varieties.
A computational study of MoS2 for band gap engineering by substitutional doping of TMN (T = transition metal (Cu), M = metalloid (B) and N = non-metal (C))
Authors: Tayyab Muhammad , Hussain Akhtar , Asif Qurat ul Ain , Adil Waqar , Nabi Shafqat , Rafiq Nouman , Ahmed Basharat 
Published: March 2021

Abstract
Tunable electronic properties of two dimensional Molybdenum disulfide (MoS2) make it a potential material. In this study, we inspect electronic and structural properties of TMN-doped MoS2 (T = Transition metal (Cu-copper), M = Metalloid (B-boron) and N = Nonmetal (C-carbon)) by using first principles DFT (density functional theory) calculations. Cu is substituted by Mo with varying concentration, which ranges from 2.08 to 8.33%, whereas B and C are replaced by S atoms with varying concentration of 2.08 to 4.16%. The substitutions result into significant variations in electronic and structural properties of MoS2. Moreover, the importance of substitutional site has been elaborated. The substitution of these impurities, variation in concentration and the replaced sites of MoS2 cause to modify the structure and energy gaps. Resulting bandgap fluctuates remain between 0.16 eV to 0.48 eV relative to 1.95 eV of pristine MoS2. The PDOS calculations show good bonding relation among the host MoS2 and the foreign impurity TMN. Therefore, substitution of impurities gives the opportunity to vary the bandgap as required for its valuable applications as semiconducting materials.
Regulatable I–V behaviors of graphene nanoplatelets-carbon nanotubes/epoxy resin composite
Authors: Yuan Yang , Wang Qingguo , Sun Xiaoning , Dong Wenjie , Qu Zhaoming 
Published: March 2021

Abstract
Graphene nanoplatelets (GNPs) and carbon nanotubes (CNTs) are two kinds of significant carbon fillers of conductive switching composites with excellent nonlinear I-V property for protecting overvoltage damages of electronic equipment. In this research, GNPs-CNTs hybrid were fabricated and mixed with epoxy resin (ER) by the way of solution blending. Due to the better morphological features and conductivity of GNPs-CNTs hybrid than pure GNPs or CNTs, the GNPs-CNTs/ER composite could exhibit regulatable I-V behaviors with diverse weight ratios of graphene oxide (GO) to multiwalled carbon nanotubes (MWCNTs) and filler concentrations. Especially, the samples (A-0.7, C-0.7 and C-0.8) with proper filler concentrations and weight ratios of GO to MWCNTs could not only possess good nonlinear conductive characteristic, but exhibit stable reversibility throughout multiple measurements as well, which indicates the GNPs-CNTs/ER composite is more usable and practicable for actual overvoltage protection than previous carbon composite. Furthermore, the mechanisms of regulatable I-V behavior of GNPs-CNTs/ER composite were discussed.
Magnetic localized states and tunable magnetism of single vacancies in generalized chiral graphene nanoribbons
Authors: Lu Tian-lun , Zuo Cheng-yi , Zhang Meng , Bao Zhi-qiang , Li Yan 
Published: March 2021

Abstract
In this paper, we obtain the generalized chiral edges of graphene nanoribbons, through longitudinal unzipping of carbon nanotubes. After analysing the stability and magnetic localized states of the generalized chiral edges based on first-principles calculations, we find the novel phenomena will arise, i.e., antiferromagnetic order in one edge and ferromagnetic order between different edges. And furthermore, the vacancy in the bulk can induce or enhance the magnetic states in the edges.
Thermal properties of TiNiSn and VFeSb half-Heusler thermoelectrics from synchrotron x-ray powder diffraction
Authors: Ferluccio Daniella A , Kennedy Blair F , Barczak Sonia A , Popuri Srinivas R , Murray Claire , Pollet Michael , Bos Jan-Willem G 
Published: March 2021

Abstract
Half-Heusler (HH) alloys are an important class of thermoelectric materials that combine promising performance with good engineering properties. This manuscript reports a variable temperature synchrotron x-ray diffraction study of several TiNiSn- and VFeSb-based HH alloys. A Debye model was found to capture the main trends in thermal expansion and atomic displacement parameters. The linear thermal expansion coefficient α(T) of the TiNiSn-based samples was found to be independent of alloying or presence of Cu interstitials with α
av = 10.1 × 10−6 K−1 between 400 and 848 K. The α(T) of VFeSb and TiNiSn are well-matched, but NbFeSb has a reduced α
av = 8.9 × 10−6 K−1, caused by a stiffer lattice structure. This is confirmed by analysis of the Debye temperatures, which indicate significantly larger bond force constants for all atomic sites in NbFeSb. This work also reveals substantial amounts of Fe interstitials in VFeSb, whilst these are absent for NbFeSb. The Fe interstitials are linked to low thermal conductivities, but also reduce the bandgap and lower the onset of thermal bipolar transport.
Chalcogenide perovskites for photovoltaics: current status and prospects
Authors: Tiwari Devendra , Hutter Oliver S , Longo Giulia 
Published: March 2021

Abstract
Chalcogenide perovskite materials are anticipated to have favourable structural, optical and electronic characteristics for solar energy conversion, yet experimental verification of the numerous computational studies is still lacking. In this perspective we summarise and critically review the computational and synthetic achievements, whilst suggesting new pathways for achieving the goal of developing this exiting class of materials. Greater knowledge of phase chemistry would allow the realisation of bandgap engineering through mixed cation and anion compositions. Combining this with fabrication and characterisation of thin films could yield promising new tailored materials for photovoltaic absorbers in the near future.
Progress in micro/nano sensors and nanoenergy for future AIoT-based smart home applications
Authors: Haroun Ahmed , Le Xianhao , Gao Shan , Dong Bowei , He Tianyiyi , Zhang Zixuan , Wen Feng , Xu Siyu , Lee Chengkuo 
Published: March 2021

Abstract
Self-sustainable sensing systems composed of micro/nano sensors and nano-energy harvesters contribute significantly to developing the internet of things (IoT) systems. As one of the most promising IoT applications, smart home relies on implementing wireless sensor networks with miniaturized and multi-functional sensors, and distributed, reliable, and sustainable power sources, namely energy harvesters with a variety of conversion mechanisms. To extend the capabilities of IoT in the smart home, a technology fusion of IoT and artificial intelligence (AI), called the artificial intelligence of things (AIoT), enables the detection, analysis, and decision-making functions with the aids of machine learning assisted algorithms to form a smart home based intelligent system. In this review, we introduce the conventional rigid microelectromechanical system (MEMS) based micro/nano sensors and energy harvesters, followed by presenting the advances in the wearable counterparts for better human interactions. We then discuss the viable integration approaches for micro/nano sensors and energy harvesters to form self-sustainable IoT systems. Whereafter, we emphasize the recent development of AIoT based systems and the corresponding applications enabled by the machine learning algorithms. Smart home based healthcare technology enabled by the integrated multi-functional sensing platform and bioelectronic medicine is also presented as an important future direction, as well as wearable photonics sensing system as a complement to the wearable electronics sensing system.
The Poisson problem for the fractional Hardy operator: Distributional identities and singular solutions
Authors: Chen Huyuan , Weth Tobias 
Published: March 2021

The purpose of this paper is to study and classify singular solutions of the Poisson problem

{

L

μ
s

u
=
f

in

Ω
∖
{
0
}
,

u
=
0

in

R

N

∖
Ω

\begin{equation*} \left \{ \begin {aligned} \mathcal {L}^s_\mu u = f \quad \ \text {in}\ \, \Omega \setminus \{0\},\\ u =0 \quad \ \text {in}\ \, \mathbb {R}^N \setminus \Omega \ \end{aligned} \right . \end{equation*}

for the fractional Hardy operator

L

μ
s

u
=
(
−
Δ

)
s

u
+

μ

|

x

|

2
s

u

\mathcal {L}_\mu ^s u= (-\Delta )^s u +\frac {\mu }{|x|^{2s}}u

in a bounded domain

Ω
⊂

R

N

\Omega \subset \mathbb {R}^N

(

N
≥
2

N \ge 2

) containing the origin. Here

(
−
Δ

)
s

(-\Delta )^s

,

s
∈
(
0
,
1
)

s\in (0,1)

, is the fractional Laplacian of order

2
s

2s

, and

μ
≥

μ
0

\mu \ge \mu _0

, where

μ
0

=
−

2

2
s

Γ
2

(

N
+
2
s

4

)

Γ
2

(

N
−
2
s

4

)

>
0

\mu _0 = -2^{2s}\frac {\Gamma ^2(\frac {N+2s}4)}{\Gamma ^2(\frac {N-2s}{4})}>0

is the best constant in the fractional Hardy inequality. The analysis requires a thorough study of fundamental solutions and associated distributional identities. Special attention will be given to the critical case

μ
=

μ
0

\mu = \mu _0

which requires more subtle estimates than the case

μ
>

μ
0

\mu >\mu _0

.