bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gymnandrosoma aurantianum (citrus fruit borer).
Authors: Brown John W. 
Published: March 2021

Abstract

Gymnandrosoma aurantianum is a small blackish brown to black tortricid moth with a whitish or pale pinkish, grub-like larva that feeds on the buds and fruit of several plant families, primarily Rutaceae and Sapindaceae. In 2000, economic loss caused by the damage of G. aurantianum to citrus fruit in the state of São Paulo, Brazil was estimated at 50 million USD. The species is native to much of South America, but may be introduced in Central America and the Caribbean, where it feeds on hosts other than citrus. It is encountered in native forests, orchards and urban landscapes, usually below 500 m elevation. In Costa Rica it has been found at higher elevations, such as Tilarán (564 m elevation), Turrialba (646 m elevation) and Juan Viñas (1165 m elevation). Although there is no evidence that it has successfully invaded any region outside of the New World tropics, the species has been intercepted at ports-of-entry on several occasions in shipments of citrus from Brazil, and the NPPO of Spain has suggested that G. aurantianum should be added to the EPPO Alert List.
Ferrisia virgata (striped mealybug).
Authors: Watson Gillian 
Published: March 2021

Abstract

Ferrisia virgata is a highly polyphagous mealybug. It reproduces quite rapidly in tropical conditions, but it tolerates subtropical and to some extent temperate conditions too. It has been reported on host-plants belonging to over 203 genera in 77 families, and can damage many crops, particularly tropical fruit, nut and spice crops and field crops like soybean and tomato. It is known to transmit plant badnavirus diseases of cocoa and black pepper. It is of Neotropical origin and spread around the world in only about 10 years after being first described from Jamaica. Its polyphagy has facilitated its spread by human transport of infested plants, and it is now established in all the subtropical and tropical zoogeographic regions. Its small size and cryptic habits make it difficult to detect and identify at plant quarantine inspection. The increase in international trade in fresh plant material in recent years is likely to facilitate its continued spread.
Impatiens glandulifera (Himalayan balsam).
Authors: Pollard Kate , Tanner Rob 
Published: March 2021

Abstract

I. glandulifera is a highly invasive annual species which has spread rapidly in many parts of Europe and North America after its introduction as an ornamental. The spread is likely to continue to more northerly or high montane areas as a result of global climatic change. Due to its ability to form dense stands and its conspicuous appearance it has been blamed for negative biodiversity effects. Even though these effects are less severe than often thought, further spread is undesirable and should not be facilitated by further use, in particular in natural areas. Control is advisable in certain situations, e.g. nature reserves and conservation sensitive areas, but eradication from larger parts of its invasive range is not feasible due to the need to control the plant on a catchment scale, which is often impossible due to the sheer scale of occurrence and division of land ownership.
Pennisetum clandestinum (Kikuyu grass).
Authors: Parker Chris 
Published: March 2021

Abstract

P. clandestinum is an aggressive perennial plant, spreading by rhizomes below ground, especially by long runners above ground, and it also sets seed. It is native to the highlands of eastern Africa but has been widely introduced elsewhere for forage and for soil conservation. In well managed situations it does not generally spread very far but it is highly tolerant of grazing and mowing and can steadily invade poorly managed plantations. It also readily invades natural vegetation with resultant loss of biodiversity. This has occurred in Australia, New Zealand, South Africa, Hawaii and the Galapagos. It is listed as a Federal Noxious Weed in the USA.
Sclerophthora rayssiae var. zeae (brown stripe downy mildew of maize).
Authors: Magill Clint 
Published: March 2021

Abstract

The first record of brown stripe downy mildew of maize occurred in India in the early 1960s. In 1967, the pathogen was defined as Sclerophthora rayssiae var. zeae by Payak and Renfro. It spread rapidly across India, especially in regions with over 100 cm of annual rainfall and into neighbouring countries, probably via seed transfer. It has been effectively controlled by the use of resistant hybrids and seed treatment. It is not reported to be an invasive species.
Xylosandrus mutilatus (camphor shoot beetle).
Authors: Mattson William 
Published: March 2021

Abstract

X. mutilatus is a polyphagous ambrosia beetle, of possible relevance as a pest, that is indigenous to at least 10 countries in eastern and southern Asia (Japan to India). It has been recently discovered (1999) in the warm temperate, southeastern United States (Alabama, Georgia, Florida, Mississippi, Tennessee, and Texas), the only region occupied outside of its native Asian range. In northern Mississippi, it has multiplied prolifically and appears therefore highly capable of surviving and spreading in its newly adopted territory.
Aphis glycines (soyabean aphid).
Authors: Hodgson Erin 
Published: March 2021

Abstract

A. glycines is distributed throughout eastern Asia, principally in China, Japan, Indonesia, Thailand, Korea, far eastern Russia, North Borneo, peninsular Malaysia and the Philippines (Blackman and Easop, 2000). It is a major pest of soyabean in China, causing particularly severe economic losses in the regions of Jilin, Liaoning, Heilongjiang and Neimenggu (Wang et al., 1962). It attacks soyabeans and is also a minor pest on other leguminous crops. It has recently been introduced into Australia, Canada and the USA (Fletcher and Desborough, 2000; Edwards et al., 2001; Michelutti et al., 2002). It has quickly become a soyabean pest in North America, where aphids had previously not attacked soyabeans (Ragsdale et al., 2011). A. glycines causes economic injury due to direct feeding, and indirect injury due to the spread of viruses, in particular Soybean mosaic virus (SMV).
An intubation catheter integrated with flow sensors and smart actuators for characterizing airflow patterns in stenosed trachea: an objective guide for CAO management
Authors: Alekya B , Sitaramgupta V V S N , Arjun B S , Bhushan V , Abishek Kevin , Rao Sanjay , Kim Yeongjin , Pandya Hardik J 
Published: March 2021

Abstract
Stenosis reduces the effective lumen area in the tracheal and bronchial segments of the airway anatomy. Loss in patency due to obstruction increases resistance to airflow; thus, severe narrowing is often associated with morbidity and mortality. Etiologies such as congenital tracheal stenosis, tracheomalacia, laryngeal and subglottic stenosis, atresia are few among the many pathologies causing major airway obstruction and respiratory distress. Diagnosis of such anomalies is usually based on clinical suspicion due to the non-specificity of the associated clinical symptoms. Visual assessment using conventional bronchoscopy or radiography images from CT scan for precisely locating obstruction site is highly subject to clinician’s expertise. Characterizing airflow patterns in stenosed airway calls for newer diagnostic tools that can effectively quantify changes in airflow due to construction sites. Our work presents a steerable intubation catheter that can quantitatively measure air velocity across various segments of the tracheobronchial tree. The catheter consists of a three-layer flexible printed circuit board integrated with micro-electro-mechanical system-based thermal flow sensors and a pair of sub-millimeter helical shape memory actuators. Flow distribution is measured in excised sheep tracheal tissues at 15, 30, 50, 65, and 80 l min−1 for normal and stenosed conditions. Even a 10% reduction in lumen area generated unique peaks corresponding to the obstruction site; thus, the catheter can locate stenosis at the precritical stage. For 50% tracheal obliteration, the sensor closest to stenosis showed a 2.4-fold increase in velocity when tested for reciprocating flows. Thus, flow rate scales quadratically with reducing cross-section area, contributing to increased airflow resistance.
Investigation of charge trapping mechanism in MoS2 field effect transistor by incorporating Al into host La2O3 as gate dielectric
Authors: Yang Kun , Chen Yanning , Wang Shulong , Han Tao , Liu Hongxia 
Published: March 2021

Abstract
The charge trapping effect plays a key role in multi-bit memory devices and brain-like neuron devices. Herein, MoS2 field effect transistors are fabricated, incorporating Al into host La2O3 as the gate dielectric, which exhibit excellent electrical properties with an on–off ratio in the memory window of ∼106 and a memory window ratio of ∼40%. Furthermore, the charge trapping and de-trapping processes were systematically studied, and the time constants are obtained from time-domain characteristics. Making use of the charge trapping effect, the threshold voltage of the device can be continuously adjusted. The oxide layer trap density and the interface state trap density are extracted using the charge separation method. These theoretical studies provide a deeper understanding of ways to control the charge trapping process, benefitting the commercialization of two-dimensional electronic devices and the development of new charge trapping devices.
Effective picture of bubble expansion
Authors: Cai Rong-Gen , Wang Shao-Jiang 
Published: March 2021

Abstract
Recently the thermal friction on an expanding bubble from the cosmic first-order phase transition has been calculated to all orders of the interactions between the bubble wall and thermal plasma, leading to a γ2-scaling instead of the previously estimated γ1-scaling for the thermal friction exerted on a fast-moving bubble wall with a Lorentz factor γ. We propose for the first time the effective equation of motion (EOM) for an expanding bubble wall in the presence of an arbitrary γ-scaling friction to compute the efficiency factor from bubble collisions, which, in the case of γ2-scaling friction, is found to be larger than the recently updated estimation when the bubble walls collide after starting to approach a constant terminal velocity, leading to a slightly larger signal of the gravitational waves background from bubble collisions due to its quadratic dependence on the bubble collision efficiency factor, although the γ2-scaling friction itself has already suppressed the contribution from bubble collisions compared to that with γ1-scaling friction. We also suggest a phenomenological parameterization for the out-of-equilibrium term in the Boltzmann equation that could reproduce the recently found (γ2-1)-scaling of the friction term in the effective EOM of an expanding bubble wall, which merits further study in future numerical simulations of bubble expansion and collisions.
Irreducible cosmic production of relic vortons
Authors: Auclair Pierre , Peter Patrick , Ringeval Christophe , Steer Danièle 
Published: March 2021

Abstract
The existence of a scaling network of current-carrying
cosmic strings in our Universe is expected to continuously create
loops endowed with a conserved current during the cosmological
expansion. These loops radiate gravitational waves and may stabilise
into centrifugally supported configurations. We show that this
process generates an irreducible population of vortons which has not
been considered so far. In particular, we expect vortons to be
massively present today even if no loops are created at the time of
string formation. We determine their cosmological distribution, and
estimate their relic abundance today as a function of both the
string tension and the current energy scale. This allows us to rule
out new domains of this parameter space. At the same time, given
some conditions on the string current, vortons are shown to provide a
viable and original dark matter candidate, possibly for all values
of the string tension. Their mass, spin and charge spectrum being
broad, vortons would have an unusual phenomenology in dark
matter searches.
Fixed point theorems under Rhoades and Reich contractive conditions in complete cone metric spaces
Authors: Sunarsini  , Apriliani E , Yunus M 
Published: March 2021

Abstract
One of the extended metric space concepts is a cone metric space. The cone metric space was first proposed by Guang and Xian in 2007. In their research, they introduced Banach fixed point theorems in complete cone metric space, namely by analogizing the fixed point theorems in complete metric space. They add normal properties to the cone set. However, Rezapour in 2008 refuted Banach fixed point theorems in cone metric space by eliminating normal properties of the cone set. For this reason, we will investigate the existence and uniqueness of Rhoades and Reich contractive mappings in cone metric space by referring to the research of Guang and Rezapour.
Forecasting electricity loads on national holidays in East Kalimantan
Authors: Hasanah P , Wiradinata SA , Azka M , Sari CA 
Published: March 2021

Abstract
In the last decades, electricity becomes essential problems in East Kalimantan. Some previous research has conducted to assess the power plant systems and to examine the future electricity demand during the period. Moreover, there are some particular events such as national holidays that bring different impacts on the electricity demand. Forecasting electricity loads on national holidays will give significant information to the stakeholders in order to prevent the power outage of electricity. Two samples of hourly electricity loads in national holidays; New Year and Independence Day during 2015-2018 is analyzed in this research. Furthermore, the SARIMA model is used to estimate the suitable model to predict the future electricity loads. The result shows that SARIMA (2,2,0)(0,1,0)24 and SARIMA (1,1,0)(1,1,0)24 are the appropriate model for New Year and Independence Day, respectively. In addition, it is predicted that in 2020 the electricity demand on New Year will rise to 400 MegaWatt based on 95% of confidence intervals. On Independence Day, the electricity consumption will reach 300-450 MegaWatt in 2019 and 2020 with significant growth up to 10% each year.
The Domination number of 2-neighbourhood-corona graphs
Authors: Darmaji  , Rinurwati  , Wahyudi S 
Published: March 2021

Abstract
Given a simple graph G. Vertex set of G is V, and edge set of G is E. Domination set, denoted by S, that is subset of V such that every vertex in V which is not element of S has distance one to S. The least number of the elements of S is the domination number of the graph G, that is ϒ(G). Let G1 and G2 be a simple graph. G1 has n1 vertices, and has m1 edges. G2 has n2 vertices, and has m2 edges. We defined an operator called neighbourhood corona, denoted by a star ‘*’. Graph G1*G2 is a new graph obtained by making ni copies of second graph and for each i make connecting all vertices in i-th copy of second graph G2 to neighbours of vi = 1, 2, …, n. Furthermore, new graph 2-neighbourhood corona G1*2G2, has n1 copies of G2 and for each i make connecting to all vertices of ith copy of G2 to neighbours of vi, i = 1, 2, …, n. In this research, we determined ϒ(Gi*2G2) where G1 is a complete graph Kn or Cycle Cn, and G2 is K1 or P2. Furthermore, we determined ϒ(G1 *mG2) due to domination number of complete graph Kn and cycle Cn. Since ϒ(Kn) = 1 then ϒ (Kn*mK1) = 1 + m. Furthermore, ϒ(Kn*mP2) = 1 + m. Since

ϒ
(

C
n

)
=

[

n
3

]

then

ϒ
(
C

n

*

m
K

1

)
=

[

n
3

]

+

[

n
3

]

m
=

[

n
3

]

(
1
+
m
)
=

ϒ
(
C

n

)
(
1
+
m
)

. Furthermore,

ϒ
(
C

n

*

m
P

2

)
=

[

n
3

]

+

[

n
3

]

m
=

[

n
3

]

(
1
+
m
)
=

ϒ
(
C

n

)
(
1
+
m
)

.
The efficiency of Spatial Durbin Model (SDM) parameters estimation on advertisement tax revenue in Malang City
Authors: Atikah N , Widodo B , Rahardjo S , Mardlijah  , Kholifia N , Afifah D L 
Published: March 2021

Abstract
The Spatial Durbin Model (SDM) is a development of the Spatial Autoregressive Model (SAR), in which the effect of spatial lag takes into account on the independent and dependent variables. In determining the parameter estimations in the SDM model, it is necessary to determine appropriate method. The estimation methods that can be used are Maximum Likelihood Estimation (MLE), Bayesian, Generalized Method of Moment, and Method of Moment (MM). In this paper, we will determine the best estimation method for obtaining the advertisement tax revenue model. We further conduct mapping the area to optimize advertisement tax revenue in Malang. From the comparative analysis process of the MLE and MM methods, the results show that the MLE method is a suitable method for estimating SDM parameters in advertisement tax revenue data in Malang City. From the variables that have been used to the model of SDM, all variables significantly affect the advertisement tax revenue. The mapping results show that the Gadang and Bandulan villages are the places with the most potential to increase advertisement tax revenue. This is because those villages are border areas in which many vehicles pass the border, and there are also many companies/industries.
Determining the optimal window length of the time-varying copula parameter: a simulation study
Authors: Ahdika Atina , Rosadi Dedi , Effendie Adhitya Ronnie , Gunardi  
Published: March 2021

Abstract
A time-varying copula is a multivariate cumulative distribution function that can accommodate the temporal dependence of random variables. To capture the temporal dependence of random variables using a copula, we can form a time variation on copula parameters. Some studies reported that a function of a latent variable following an autoregressive process defines time-varying copula parameters. The process consists of an autoregressive coefficient describing the influence of the parameters in previous times and a forcing variable representing the relationship between the marginal variables which utilize previous information over a certain number of window lengths of the observations. Previous studies reported that ARMA(1,10) defines time-varying copula parameters. However, the optimal parameters of time-varying copulas do not always require ten last observations. Therefore, we determine the optimal window length of the time-varying copula parameter by conducting a numerical simulation on four types of copula with different strengths and directions of dependence. The window length is defined as a new parameter and the optimal parameters can be obtained by finding the values producing the smallest AIC. We also provide a numerical simulation on how to improve the accuracy of the predicted series by changing the mean and standard deviation of the residual pairs.
Edge metric dimensions of neighbourhood corona graph containing dominant vertices
Authors: Rosyidah N M , Rinurwati  
Published: March 2021

Abstract
Connected graph G = (V(G), E(G)) with V(G) = {υ1, υ2,..υ
n
} and a graph H and an ordered set Z = {z
1,z
2,…,z
k} £ V( G) are given. The set Z, for which the representations of every two distinct edges e1, e2£E (G) with respect to Z are distinct, is called edge resolving set. The edge resolving set with minimum cardinality is called edge metric basis for G, its cardinality is called edge metric dimension of G, and is denoted by e d im( G). Let H
1, H
2,…,H
n be copies of graph H. The neighbourhood corona between G and H, G*H, is obtained by taking G and |V(G)| copies of H, then making all vertices in the ith copy of H adjacent to all neighbours of v
i
£ V(G), with i £ { 1, 2,…,n}. In this paper, we determine and analyze edge metric dimensions of neighbourhood corona between G and H, edim(G*H), where G is a graph containing dominant vertices, that is G £ {K

n
, S

n
, F

n
, W

n
} and is graph k
1.
Extended use of error-free transformation for real matrix multiplication to complex matrix multiplication
Authors: Kazal Nurul Yakim , Mukhlash Imam , Sanjoyo Bandung Arry , Hidayat Nurul , Ozaki Katsuhisa 
Published: March 2021

Abstract
The presence of rounding errors is frequently inevitable when performing arithmetic operations in computers due to the use of floating-point number system whose elements have finite precision. Consequently, error-free transformation algorithms are proposed as solutions, and a particular instance of these is the error-free transformation algorithm for real matrix multiplication. Based on the previously mentioned algorithm, this study proposes two error-error free transformation algorithms for complex matrix multiplication. By conducting the numerical experiment, one finds that the combination of both proposed algorithms with an accurate summation algorithm generates the most accurate results, but it also suffers from a notable increase in the computing time ratio. On the other hand, the second proposed algorithm, which is simply another form of the first one with the change of order in summation, combined with the pure floating-point addition produces results that are nearly as accurate as those generated by the former combination. Since these results are achieved with significantly smaller computing time ratio, then the study concludes that the last combination is the best method for complex matrix multiplication in terms of accuracy and computing time efficiency.
Model predictive control in optimizing stock portfolio based on stock prediction data using Holt-Winter’s exponential smoothing
Authors: Agustina C S , Asfihani T , Ginting R R , Subchan S 
Published: March 2021

Abstract
This study aims to solve an optimization problem on stock portfolio. There are two main subtopics of this research, namely stock price prediction using Holt Winter’s Exponential Smoothing method and stock portfolio optimization using Model Predictive Control (MPC) method. The steps that have been taken are: collecting and analysing stock price data, determination of smoothing parameters and stock price prediction, calculation of stock price prediction returns, determining the stock portfolio model and system constraints, converting the objective function into a quadratic programming form, and initialization of optimization parameters and program simulation. Based on the simulation results, all control variables are within the predetermined constraints. The application of MPC in optimizing all capital in a portfolio based on stock price predictions can provide satisfactory results. This is represented by the decisions given by the MPC which resulted in the investor’s total capital increasing closer to the expected target.
Classification of security quality level using Fuzzy Logic study case: Balikpapan City
Authors: Fathurahmah Naufal , Pancahayani Sigit , Hasmi Abrari Noor , Prihasto Bima 
Published: March 2021

Abstract
A liveable city is a city with a comfortable environment that gives its residents a sense of perfection to live and ease to do various activities. Balikpapan is one of major cities whose has the third-largest population in the province of East Kalimantan consisting of 6 districts namely, South Balikpapan, East Balikpapan, North Balikpapan, West Balikpapan, Central Balikpapan, and Balikpapan City. The consequence that arises from the large population is the increase in crime that affects the liveability in terms of security quality. In this study, Mamdani Fuzzy Logic is used to investigate the level of security quality of each sub-district in this city based on the crime figures. Moreover, the types of criminalities are categorized into four kinds, namely fraud, theft, immoral violence, and other crimes. Based on the result, it was found that the order of sub-districts with the best level of security is Central Balikpapan which is followed by Northern and Eastern Balikpapan with fairly good security status. Meanwhile, sub-districts with lax security are Western Balikpapan, Balikpapan City and Southern Balikpapan.