bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative adipose transcriptome analysis digs out genes related to fat deposition in two pig breeds
Authors: Xing Kai , Wang Kejun , Ao Hong , Chen Shaokang , Tan Zhen , Wang Yuan , Xitong Zhao , Yang Ting , Zhang Fengxia , liu Yibing , Ni Hemin , Sheng Xihui , Qi Xiaolong , Wang Xiangguo , Guo Yong , Wang Chuduan 
Published: September 2019

AbstractFatness traits are important in pigs because of their implications for fattening efficiency, meat quality, reproductive performance and immunity. Songliao black pigs and Landrace pigs show important differences in production and meat quality traits, including fatness and muscle growth. Therefore, we used a high-throughput massively parallel RNA-seq approach to identify genes differentially expressed in backfat tissue between these two breeds (six pigs in each). An average of 37.87 million reads were obtained from the 12 samples. After statistical analysis of gene expression data by edgeR, a total of 877 differentially expressed genes were detected between the two pig breeds, 205 with higher expression and 672 with lower expression in Songliao pigs. Candidate genes (LCN2, CES3, DGKB, OLR1, LEP, PGM1, PCK1, ACACB, FADS1, FADS2, MOGAT2, SREBF1, PPARGC1B) with known effects on fatness traits were included among the DEGs. A total of 1071 lncRNAs were identified, and 85 of these lncRNAs were differentially expressed, including 53 up-regulated and 32 down-regulated lncRNAs, respectively. The differentially expressed genes and lncRNAs involved in glucagon signaling pathway, glycolysis/gluconeogenesis, insulin signaling pathway, MAPK signaling pathway and so on. Integrated analysis potential trans-regulating or cis-regulating relation between DEGs and DE lncRNAs, suggested lncRNA MSTRG.2479.1 might regulate the expressed level of VLDLR affecting porcine fat metabolism. These results provide a number of candidate genes and lncRNAs potentially involved in porcine fat deposition and provide a basis for future research on the molecular mechanisms underlying in fat deposition.
Genome-scale CRISPR knockout screen identifies TIGAR as a modifier of PARP inhibitor sensitivity
Authors: Fang Pingping , De Souza Cristabelle , Minn Kay , Chien Jeremy 
Published: September 2019

AbstractTreatment of cancer with poly (ADP-ribose) polymerase (PARP) inhibitors is currently limited to cells defective in the homologous recombination (HR) pathway. Identification of genetic targets that induce or mimic HR deficiencies will extend the clinical utility of PARP inhibitors. Here we perform a CRISPR/Cas9-based genome-scale loss-of-function screen, using the sensitivity of PARP inhibitor olaparib as a surrogate. We identify C12orf5, encoding TP53 induced glycolysis and apoptosis regulator (TIGAR), as a modifier of PARP inhibitor response. We show that TIGAR is amplified in several cancer types, and higher expression of TIGAR associates with poor overall survival in ovarian cancer. TIGAR knockdown enhances sensitivity to olaparib in cancer cells via downregulation of BRCA1 and the Fanconi anemia pathway and increases senescence of these cells by affecting metabolic pathways and increasing the cytotoxic effects of olaparib. Our results indicate TIGAR should be explored as a therapeutic target for treating cancer and extending the use of PARP inhibitors.
Chirurgische Therapieoptionen bei obstruktiven
schlafbezogenen Atmungsstörungen und Schnarchen
Authors: Just Maren , Dietz Andreas 
Published: September 2019

ZusammenfassungEntsprechend der ICSD-3 wird eine obstruktive Schlafapnoe (OSA) dann
diagnostiziert, wenn die Atmungsstörung durch keine andere Schlafstörung oder
medizinische Erkrankung oder durch Medikamente oder andere Substanzen erklärbar
ist und entweder ein AHI (Apnoe-Hypopnoe-Index-Anzahl der Apnoen und Hypopnoen
pro Stunde Schlaf) > 15/h (Ereignis ≥ 10 s) Schlafzeit oder ein AHI ≥ 5/h
Schlafzeit in Kombination mit einer typischen klinischen Symptomatik oder
relevanten Komorbidität vorliegt 1.
The Use of Biomarkers in Clinical Management Guidelines: A Critical Appraisal
Authors: Esteve-Pastor María Asunción , Roldán Vanessa , Rivera-Caravaca José Miguel , Ramírez-Macías Inmaculada , Lip Gregory Y. H. , Marín Francisco 
Published: September 2019

AbstractIn cardiovascular disease (CVD), biomarkers (i.e., “biological markers”) could have multiple roles in understanding the complexity of cardiovascular (CV) pathophysiology and to offer an integrated approach to management. Biomarkers could help in daily practice as a diagnostic tool, to monitor therapy response, to assess prognosis and as early marker of CV damage, or to stratify risk. In recent years, the role of biomarkers in CVD is even more relevant and some have recently been included in clinical management guideline recommendations. The aim of this review is to discuss the recommendations in clinical guidelines of various biomarkers and to review their usefulness in daily clinical practice. Ultimately, a balance is needed between simplicity and practicality for clinical decision-making. Most biomarkers (whether blood, urine, or imaging-based) will improve on clinical risk stratification, but awaiting biomarker results may lead to delays in the initiation of therapy, for example, anticoagulation for stroke prevention in atrial fibrillation. Many biomarkers are nonspecific, being predictive of many CV and non-CV outcomes, so would be better as “rule-out” rather than “rule-in” assessments. Derivation of some biomarkers have also been made in highly selected clinical trial cohorts, where measurement is made at baseline but outcomes determined many years later; given the dynamic nature of risk in the “real world” where patients get older and develop incident risk factors, this may give a false impression of the risk profile. Finally, some laboratory biomarkers have a diurnal variation and inter-/intravariability (and lower limits of detection) in assays, which may be expensive, are added considerations.
Petri Net and Max-Plus Algebra Model in Bank Queue with Two Servers in Each Service
Authors: Arulia Martha Gevinda , Siswanto  , Atmojo Kusmayadi Tri 
Published: September 2019

Abstract
Bank is one of the business entity used by most of the people in the world including Indonesia and play an important role of nancial institutions in the economy of society. There are some of the bank services that are given to us such as customer service, teller, loan service, etc. The main services provided by every bank are customer services and tellers. Queuing problem that happened in bank services can be modeled using mathematics. Mathematics model used in this research is timed petri net. Petri net models the queue in the services system into a discrete form where in this research is used two main services in the bank with two counters in each service. Furthermore, from the ow of petri net that has been made is built the coverability tree to nd out the liveness and deadlocks of each groove petri net. Next, the petri net model is constructed using max-plus algebra.
Characteristic Polynomial of a Triangular and Diagonal Strictly Double

ℝ

-astic Matrices over Interval Max-Plus Algebra
Authors: Vyni Wulandari Aisyah , Siswanto  
Published: September 2019

Abstract
Max-plus algebra is the set

ℝ
ε

=
ℝ
∪
{
ε
}

where

ℝ

is a set of all real numbers and ε = –∞ which is endowed with max (⊕) and plus (⊗) operations. A matrix in which its components are the element of

ℝ
ε

is called matrix over max-plus algebra. From matrix, we can define characteristic polynomial over max-plus algebra. Max-plus algebra has been generalized into interval max-plus algebra. Interval max-plus algebra is the set of interval over

ℝ
ε

, denoted by

I

(
ℝ
)

ε

, which is endowed with

⊕
¯

and

⊗
¯

operations. A matrix in which its components are the element of

I

(
ℝ
)

ε

is called interval matrix. Interval matrix has some unique forms, two of which are triangular and diagonal strictly double

ℝ

-astic matrices. From interval matrix, we can define characteristic polynomial over interval max-plus algebra which is used to determine eigenvalues. In this research will discussed about the characteristic polynomial of a triangular and diagonal strictly double ℝ-astic matrices over interval max-plus algebra that will also be used to determine eigenvalues.
Super (a, d)-H-antimagic total labeling on wheel edge corona product with a path and a cycle
Authors: Nadzima Uffi , Sri Martini Titin 
Published: September 2019

Abstract
A simple graph G = (V (G), E(G)) admits an H-covering, where H is subgraph of G, if every edge in E(G) belongs to a subgraph of G that is isomorphic to H. A graph G is said to be an (a, d)-H-antimagic covering if there exist a bijective function λ : V(G) → E(G) → {1, 2, …, |V(G)| + |E(G)|}, such that for all subgraphs H’ isomorphic to H, the H-weights w(H’) = ∑
v∈V(H’) λ(v) + ∑
e∈E(H’) λ(e) constitute an arithmetic progression a, a + d, a + 2d, …, a + (t − 1)d where a and d are positive integers and t is the number of subgraphs of G isomorphic to H. If the vertices contain the smallest possible labels, we called super (a, d)-H-antimagic. The edge corona product between graph G
1 and G
2 is a graph obtained by taking one copy of G
1 and |E(G
1)| copies of G
2 and then joining two end − vertices of the ith
edge of G
1 to every vertex in ith
copy of G
2. This research aims to find (a, d)-H-antimagic total labeling on Wn
◊ Pn
with H is C
3 ◊ Pn
and Wn
◊ Cn
with H is C
3 ◊ Cn
.
The local metric dimension of edge corona and corona product of cycle graph and path graph
Authors: Dyah Wulancar Elis , Atmojo Kusmayadi Tri 
Published: September 2019

Abstract
Let G be a nontrivial connected graph with vertex set V(G). For an ordered set W = {w
1
, w
2
, …, wn
} of n distinct vertices in G, the representation of a vertex v ∈ V(G) with respect to W is an ordered value of distance between v and every vertex of W . The set W is a local metric set of G if the representations of every pair of adjacent vertices with respect to W are different. The local metric set with minimum cardinality is called local metric basis and its cardinality is the local metric dimension of G and denoted by dim
l
(G). The edge corona product of cycle graph and path graph denoted by Cm
ʘ Pn
, this graph is obtained from a cycle graph Cm
and m copies of path graph Pn
, and then joining two end-vertices of ith
edge of Cm
to every vertex in the ith
copy of Pn
, where 1 ≤ i ≤ m. The corona product of cycle graph and path graph denoted by Cm
◊ Pn
, this graph is obtained from a cycle graph Cm
and m copies of path graph Pn
, and then joining by an edge each vertex from the ith
copy of Pn
with ith
vertex of Cm
. In this paper, we determine the local metric dimension of edge corona and corona product of cycle graph and path graph for positive integer m ≥ 3 and n ≥ 1. We obtain the local metric dimension of edge corona product of cycle and path graphs is dim
l
(Cm
◊ Pn
)=2 for n = 1 and

dim
l

(

C
m

⋄

P
n

)
=
m

⌈

n
−
1

4

⌉

for

n
≥
2

for n ≥ 2. The local metric dimension of corona product of cycle and path graphs is dim
l
(Cm
◊ Pn
)=1 for n = 1 and even positive integer m ≥ 3, dim
l
(Cm
ʘ Pn
)=2 for n = 1 and odd positive integer m ≥ 3, and

dim
l

(

C
m

⊙

P
n

)
=
m

⌈

n
−
1

4

⌉

for

n
≥
2

for n ≥ 2.
Fuzzy modeling network type 2 and principal component analysis for the diagnosis of diabetic retinopathy
Authors: Damayanti A , Maimunah S , Pratiwi A B 
Published: September 2019

Abstract
Diabetic retinopathy is a disease caused by vascular complications of diabetes mellitus. The more increasing number of people with diabetes mellitus every year, then indirectly the chances of someone’s eye experiencing diabetic retinopathy disorders are also increasing. Fundus photos are one way to detect diabetes mellitus in the retina of the eye. The stages used in the detection process of diabetic retinopathy include the stage of pre-processing fundus images namely grayscale and histogram equalization processes, the stage of reducing image size using Principal Components Analysis (PCA) and the stage of diabetic retinopathy detection on fundus images using fuzzy modeling network type 2. Fuzzy modeling network type 2 is a method using multilayer neural network architecture with backpropagation learning and fuzzy systems for its rules. The results of the validation system test show that the process of detecting diabetic retinopathy using the type 2 fuzzy modeling network algorithm is obtained the accuracy of 80%.
Metaheuristic Algorithms for Solving Multiple-Trips Vehicle Routing Problem with Time Windows (MTVRPTW)
Authors: Pratiwi A B , Sasmito A , Istiqomah Q S , Kurniawan M R , Suprajitno H 
Published: September 2019

Abstract
Multiple-Trips Vehicle Routing Problem with Time Windows (MTVRPTW) is problem of determining vehicles routes involving depot and number of customers in order to minimize the number of vehicles used and travel time. MTVRPTW has objective to minimize the total costs of transportation which are the number of tours, total tour duration time and range of duration time. This paper provides metaheuristic algorithms to solve the MTVRPTW. Firefly Algorithm, Cuckoo Search Algorithm and Flower Pollination Algorithm are applied and compared in exchange for having the performances. Based on the experimental results using different size of data shows that Firefly Algorithm performs better than Cuckoo Search Algorithm and Flower Pollination Algorithm in solving MTVRPTW.
Think Pair Share (TPS) Model Using Science, Technology, Engineering, Mathematics (STEM) Approach in Mathematics Learning
Authors: Werdiningsih I , Budiyono  , Pratiwi H 
Published: September 2019

Abstract
The students achievement in mathematics is low because the lack of learning innovation. This research was conducted to students’ mathematics learning achievement by through the think pair share (TPS) model using science, technology, engineering and mathematics (STEM) approach designed in quantitative descriptive research. The population of this research was students in the eighth grade in the whole Junior High School in Karanganyar Districts, and the sample of the research was students in the eighth grade in SMP N 1 Matesih. The findings revealed that the TPS model using STEM approach had better mathematics learning achievement in geometry than students with TPS model. Moreover, students with TPS model had better mathematics learning achievement in geometry than students with direct learning.
On Vertex Irregular Total k-labeling and Total Vertex Irregularity Strength of Lollipop Graphs
Authors: Nur Ni’mah Siti’ Aisyah , Indriati Diari 
Published: September 2019

Abstract
Let G be a connected graph with vertex set V(G) and edge set E(G). A vertex irregular total k-labeling

λ
:
V
(
G
)
∪
E
(
G
)
→

{

1
,
2
,
…
,
k

}

of a graph G is a labeling of vertices and edges of G in such a way that the weights of any two different vertices x and y are distinct. The weight of a vertex x in G, denoted by wt(x), is defined as the sum of the label of x and the labels of all edges incident with the vertex x. The total vertex irregularity strength of G, denoted by tvs(G), is the smallest positive integer k for which the graph G has a vertex irregular total k-labeling. The (m, n)-lollipop graphs denoted by Lm,n
is a graph obtained by joining a complete graph Km
to a path graph Pn
with a bridge. In this research, we investigate tvs of lollipop graphs Lm,n
for m ≥ 3 and n ≥ 1, denoted by tvs(Lm,n
).
Server Room Temperature & Humidity Monitoring Based on Internet of Thing (IoT)
Authors: Alvan Prastoyo Utomo Moechammad , Aziz Abdul , Winarno  , Harjito Bambang 
Published: September 2019

Abstract
In Monitoring Temperature and humidity for Server Room is a system based an IoT, which provides information while regulating temperature and humidity inside the server room. There are various types of sensors in the prototype, using all parameters of temperature and humidity that can be measured. This system can be used to monitor the temperature or humidity of a particular room or place. The proposed system continuously sends data to the cloud to monitor data from anywhere. For direct monitoring and regulation, the system is equipped with features to provide notifications to users through the telegram application dynamically. The prototype brain is a Raspberry and Arduino module. Temperature and Humidity Sensor (DHT11) are connected to Raspberry. Every time these values exceed the threshold selected for each notification given to the user via the telegram application by utilizing the telegram API. Based on the notification, the user can remotely set the room temperature by giving an order via the telegram application. The Proposed System effectively monitors and dynamically controls commands via telegram applications or through web server applications.
The γ-Dimension of Images of Bi-Lipschitz Function
Authors: Wibowo S , Kurniawan V Y , Siswanto  
Published: September 2019

Abstract
The integral staircase function defined on a fractal set is special case of the bi-Lipschitz function of order α ∈ (0, 1) and the image of this function does not preserve γ –dimensions. In this paper, we show the sufficient condition for any function defined on a fractal set satisfies the bi-Lipschitz condition of order α ∈ (0, 1). Moreover, the image of the bi-Lipschitz function does not preserve γ –dimensions of its domain.
Functional thinking profile of mathematics problems based on gender in senior high school
Authors: Pamungkas L N , Kusmayadi T A , Fitriana L 
Published: September 2019

Abstract
In learning mathematics, the functional thinking of students is very important so that they are expected to be able to understand mathematics material in depth and be able to overcome difficulties experienced gradually. Functional thinking is very necessary for mathematics because it is one of the main keys in algebraic thinking which includes generalization of functions. This study aims to describe the functional thinking of high school students in solving mathematical problems in terms of gender differences. This study used the descriptive qualitative method. The research subjects consisted four students of nasional senior high school students of class eleven grade which included excellent schools in Boyolali. The results show that the related activities determine the equation of the circle from two points. The subjects of this study were four students with two male students and two female students. Subjects of male and female students tend to have similarities in how to determine the circle equation from two points, namely by trial and error using existing mathematical operations. It can be concluded that the functional thinking of both subjects is relatively the same. It is just that the female subject is more specific in finding the equation of the circle if two points are known.
Intensity of Teak Wood Production in Central Java Using Point Process by Counting Measure Approach
Authors: Respatiwulan  , Jatiningsih L , Susanti Y , Handayani S S , Pratiwi H , Slamet I , Hartatik  
Published: September 2019

Abstract
Teak is known as a tree that has a high quality wood and economic value. Teak forests have important role as supporting ecosystems, preventing erosion, and have social functions for research facilities. Central Java has the largest teak forest area on Java. The number of districts that teak wood production in units of time in can be assumed as a counting process. The counting process that considers the events in surrounding area which also has teak forests is called the point process. In this research, we determine the intensity of teak wood production in Central Java with a point process by counting measure approach. There are some steps to reach the research’s aim: 1). Mapping the Forest Management Unit (FMU) of the Central Java Regional Division, 2). Divide the FMUs area of the Central Java Regional Division into 3 sub-regions with the same area, 3). Classify FMUs according to their respective sub regions, 4). Calculate the number of FMUs scattered in each sub-region, 5). Determine the intensity of teak wood production with the counting measure approach based on step (4). We obtained that the production of teak in the Central Java Regional Division dominated by type AIII (large round wood). Overall sub region I is the largest teak production area in Central Java, especially at FMU Randublatung.
Design of a laboratory-scale sugarcane weighing system
Authors: Veerasakulwat S , Udompetaikul V , Hongwiangjan J 
Published: September 2019

Abstract
Recently, sugarcane harvesters have been increasingly used in sugarcane harvesting. Loading trucks were traveling along the harvesters to collect the harvested cane billets. Since cane harvesters are expensive machines, there is an idea of collaborative farming by combining multiple fields from different owners to reduce operating costs and time. However, it is difficult to fairly classify yields from different fields. Site-specific yield monitoring system is not common in typical harvesters. Farmers only know the weight on each truck without its collecting location when selling the sugarcane to the factory. This research was the feasibility study to develop a hydraulic weighing system in laboratory scale for further applying to the side-tipping loading trucks. A low-cost hydraulic weighing system was fabricated. A microcontroller was used to read signals from pressure and gyroscopic sensors and then to calculate the applied load. Accuracy and precision of the system were examined. The coefficient of determination (R2) of the relationship between the actual and determined loads was 0.978. The standard error of prediction (SEP) of the system was 2.348 kg. The results show that there was feasibility to apply the system on farm scale; however, further study with a larger scale should be conducted.
Energy analysis of green manure managements on organic riceberry rice production
Authors: Wongsewasakun Pathai , Phaphungwitayakul Wera 
Published: September 2019

Abstract
Rice production in Thailand has been an important part of the Thai economy. In this research, was analyzed and compared energy use pattern for organic rice production in different green manure managements. The rice variety used was Riceberry. The study was conducted from July 2017 to January 2018 on the long-term agricultural field trial at Lamphun province, Thailand. Each field was divided into three equal parts (Crotalaria juncea, Sesbania rostrata and Control treatments). The results showed that the main energy consumption in organic rice production came from fuel (60%) and machinery (30%), moreover green manures treatments increased slightly total energy input but gave large total energy output more than control treatment. The energy use efficiency of sesbania, control and croralaria were 8.18, 5.59 and 7.28, respectively, while the net energy were 18, 864.41, 7, 521.57 and 2, 547.13 MJ Rai−1 (1 Rai = 0.16 Hectare = 1, 600 m2), respectively, as well as the energy productivity were 0.28, 0.18 and 0.25 kg MJ−1, respectively. Therefore, in this study using sesbania as green manure before planting was suitable for organic rice production since the highest values in the energy use efficiency, the net energy and the energy productivity when compared with the other treatments.