bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychological pain and risk of suicide in adolescence
Authors: Mento Carmela , Silvestri Maria Catena , Muscatello Maria Rosaria Anna , Rizzo Amelia , Celebre Laura , Bruno Antonio , Zoccali Antonio Rocco 
Published: May 2020

Abstract
Psychological pain or psychache is intolerable and unacceptable mental pain. This construct plays a key role in the risk of suicide in adolescence. This is a frequent condition in adolescents with depression; a variety of studies propose a bidirectional relationship between these two circumstances. Adolescents with psychological pain are exposed to the risk of suicidal ideation, and behavior. This review aimed to explore psychological pain in adolescents, and the correlation to the risk of suicide. We have conducted, following PRISMA guidelines, a systematic review for the literature on PubMed. Search terms were “Suicide risk in adolescents” AND “Mental Pain in adolescence” OR “Psychological Pain in adolescence”. An initial search identified publications 1189. A total of 15 studies met the predefined inclusion criteria and were analyzed. Mental pain is a stronger factor of vulnerability of suicidal ideation and behavior. Intense negative emotions, such as guilt, shame, hopelessness, may become a psychological pain in adolescence, and many studies showed a relation between psychological pain and capability for suicide.
A new method to generate daily load scenario of electric vehicle charging station considering time correlation
Authors: Liu Xiaoou 
Published: May 2020

Abstract
Due to the influence of random factors such as travel behavior of car owners and traffic condition, the electric vehicle (EV) charging station load has strong randomness. Establishing an appropriate probability model to describe the stochastic of EV charging station load is of great significance to the safe operation analysis of distribution network. Therefore, this paper proposes the probability modeling and the scenario generation method for EV charging station load based on historical data. Firstly, the load of each period is regarded as a random variable, and the probability distribution model of each random variable is obtained by fitting historical data. Secondly, according to the analysis of load correlation, 96 periods of a day are divided into several sets of adjacent periods. Considering the correlation between different period loads in each set of adjacent periods, the Pair-copula method and the D-Vine structure is used to obtain the joint distribution model in each set of adjacent period loads is obtained. Thirdly, according to the joint distributionmodel, all sets of adjacent periods of a day and the corresponding load scenarios are obtained, and the daily load curve considering time correlation are generated. Finally, referring to the actual historical load curve data, the effectiveness of the proposed method in this paper is verified by comparing with the daily load curve, which is generated based on the independent distribution model of each period load without considering time correlation.
Machine learning roles in advancing the power network stability due to deployments of renewable energies and electric vehicles
Authors: Nassereddine Mohamad 
Published: May 2020

Abstract
Renewable energy sources are widely installed across countries. In recent years, the capacity of the installed renewable network supports large percentage of the required electrical loads. The relying on renewable energy sources to support the required electrical loads could have a catastrophic impact on the network stability under sudden change in weather conditions. Also, the recent deployment of fast charging stations for electric vehicles adds additional load burden on the electrical work. The fast charging stations require large amount of power for short period. This major increase in power load with the presence of renewable energy generation, increases the risk of power failure/outage due to overload scenarios. To mitigate the issue, the paper introduces the machine learning roles to ensure network stability and reliability always maintained. The paper contains valuable information on the data collection devises within the power network, how these data can be used to ensure system stability. The paper introduces the architect for the machine learning algorithm to monitor and manage the installed renewable energy sources and fast charging stations for optimum power grid network stability. Case study is included.
Viscoelastic analysis of oat grain within linear viscoelastic region by using dynamic mechanical analyzer
Authors: Zhao Nan , Li Bo-wen , Zhu Ying-dan , Li Dong , Wang Li-jun 
Published: May 2020

Abstract
The stress relaxation, creep-recovery, temperature, and frequency sweep tests were performed within the linear viscoelastic region by using a dynamic mechanical analyzer to investigate the viscoelastic characteristic of oat grain. The result showed that 5-element Maxwell and Burgers model were able to describe viscoelastic behaviors better. The relaxation stress decreased with the increasing moisture content from 6.79 to 23.35%, while the creep strain increased as well as the final percentage recovery decreased from 58.61 to 32.50%. In frequency sweep, storage modulus increased with the increasing frequency. In temperature sweep, there was a clear turning point in storage modulus, loss modulus, and tan delta curves with increasing temperature. The turning value of 167.47, 147.44, 134.27, 132.41, 110.28, and 92.62 °C detected in the tan delta were regarded as the best glass transition temperatures. This temperature was found to be lower than gelatinization heating temperature and decrease with the increase of moisture content. The crystalline structure of oat exhibited a typical A-type pattern and corresponding crystallinity increased from 22.03 to 31.86% with increasing moisture content. The scanning electron microscopy (SEM) micrograph of oat section was found that the size and adhesive effect of starch granules increased due to hydration.
Shelf life analysis of a ricotta packaged using Modified Atmosphere Packaging or High Pressure Processing
Authors: Roberta Stefanini , Giuseppe Vignali 
Published: May 2020

Abstract
The aim of this work is to evaluate several packaging and treatment processes for ricotta cheese in thermoformed trays. Shelf life has been evaluated considering microbiological aspects, colour variation and the quantity of Volatile Organic Compound (VOC). The first solution tested was Modified Atmosphere Packaging (MAP). Experimental tests were performed to evaluate not only the effect of a mixture of CO2, O2 and N2 in different percentages but also the deep of the trays (20, 30 or 40 mm). As a comparison, High Pressure Processing (HPP) at 6000 MPa for 3 min was applied to a second series of packaged ricottas. Microbiological results show that MAP preserves the product for 10 days, while HPP extends its shelf life for up to a month due to the lower levels of yeasts, moulds and lactic bacteria. In addition, the treatment preserves the ricotta's colour and VOCs.
Prediction of internal compositions change in potato during storage using visible/near-infrared (Vis/NIR) spectroscopy
Authors: Farhadi Roya , Afkari-Sayyah Amir H. , Jamshidi Bahareh , Mousapour Gorji Ahmad 
Published: May 2020

Abstract
Visible/Near-infrared (Vis/NIR) spectroscopy at a range of 450–1000 nm was used to predict the values of three qualitative variables (starch, reducing sugar, and moisture content) on 200 potato tubers from 2 potato genotypes (‘Agria’ and ‘Clone 397009–8’) stored in both traditional and cold storages. After spectroscopy measurements, these variables were measured using reference methods. Then, Partial Least Square (PLS) models were developed. To evaluate developed models, Root Mean Square Error of calibration and cross validation (RMSEC and RMSECV), as well as coefficient of determination for calibration and cross validation (R
2
C and R
2
CV), and Residual Predictive Deviation (RPD) were used. The best prediction belonged to reducing sugar with statistical values of R
2
C = 0.99, R
2
CV = 0.98, RMSEC = 0.029, RMSECV = 0.037, and RPD = 7.57 in ‘Clone’ genotype stored under cold storage. The weakest prediction was related to moisture content with statistical values of R
2
C = 0.93, R
2
CV = 0.92, RMSEC = 0.268, RMSECV = 0.279, and RPD = 6.45 in stored ‘Clone’ genotypes under cold storage. Results of the study showed that, Vis/NIR spectroscopy as a non-destructive, fast, and reliable technique can be used for prediction of inner compositions of stored potatoes.
Mathematical modeling of ohmic heating for inactivation of acid-adapted foodborne pathogens in tomato juice
Authors: Kim Sang-Soon , Choi Won , Park Sang-Hyun , Kang Dong-Hyun 
Published: May 2020

Abstract
The objective of the present study was to predict the inactivation trends of acid-adapted foodborne pathogens in tomato juice by ohmic heating through a numerical analysis method. The mathematical model based on finite element method (FEM) was used to simulate the multiphysics phenomena including electric heating, heat transfer, fluid dynamics, and pathogen inactivation. A cold spot was observed in the corner part of the ohmic heating chamber, where some pathogens survived even though all pathogens were inactivated elsewhere. Challenges of this study were how to reflect the increased resistance of pathogen by acid-adaptation. After simulation, we verified that inactivation level of acid-adapted foodborne pathogens by 25 Vrms/cm ohmic heating (1 kHz), predicted with the developed mathematical model, had no significant differences with experimental results (p > 0.05). Therefore, the mathematical approaches described in the present study will help juice processors determine the processing conditions necessary to ensure microbial safety at the cold point of a rectangular type batch ohmic heater.
Subjektive Theorien von DaF-Lehrenden – zur Begründung des Ausschlusses von Inhalten und Methoden aus dem Unterricht
Authors: Mayer David 
Published: May 2020

Zusammenfassung
Die qualitative Studie befasst sich mit der Frage, mit welchen Faktoren DaF-Lehrende begründen, was sie in ihrem Unterricht inhaltlich und methodisch nicht machen, und eruiert, inwiefern diesem Ausschluss eine subjektive (Teil-)Theorie zugrunde liegt. Damit wird innerhalb der Lehrerkognitionsforschung ein Aspekt in den Vordergrund gerückt, der bislang kaum Beachtung gefunden hat. Im Rahmen dieses Artikels werden auf der Grundlage von Interviews und Strukturbildern die subjektiven Begründungsmuster zweier DaF-Lehrender deskriptiv und grafisch rekonstruiert, um dadurch das Verhältnis zwischen situativ-kontextabhängigen und überzeugungsgeleiteten Begründungen, die zu diesem Ausschluss geführt haben, darzustellen.
Application of singular spectrum analysis in reconstruction of the annual signal from GRACE
Authors: Zhu Chuandong , Zhan Wei , Liu Jinzhao , Chen Ming 
Published: May 2020

Abstract
The mixture effect of the long-term variations is a main challenge in single channel singular spectrum analysis (SSA) for the reconstruction of the annual signal from GRACE data. In this paper, a nonlinear long-term variations deduction method is used to improve the accuracy of annual signal reconstructed from GRACE data using SSA. Our method can identify and eliminate the nonlinear long-term variations of the equivalent water height time series recovered from GRACE. Therefore the mixture effect of the long-term variations can be avoided in the annual modes of SSA. For the global terrestrial water recovered from GRACE, the peak to peak value of the annual signal is between 1.4 cm and 126.9 cm, with an average of 11.7 cm. After the long-term and the annual term have been deducted, the standard deviation of residual time series is between 0.9 cm and 9.9 cm, with an average of 2.1 cm. Compared with the traditional least squares fitting method, our method can reflect the dynamic change of the annual signal in global terrestrial water, more accurately with an uncertainty of between 0.3 cm and 2.9 cm.
Safety, efficacy and tolerability of a combination micronutrient and polyherbal preparation (GoutFighter
TM) for gout: a single-arm open-label pilot study
Authors: Vu Nam , Thi Tam Nguyen Thuan , Haddon Parmenter Benjamin , Thouas George Anthony 
Published: May 2020

Abstract

Background
To evaluate the safety, efficacy and tolerability of a combination micronutrient and polyherbal preparation (GoutFighter
TM) for gout management.

Methods
A single arm, open-label pilot study was conducted at the National Hospital for Traditional Medicine in Vietnam. Participants (n=35 recruited) diagnosed with chronic gout received four tablets of GoutFighter
TM daily over a 45-day period. Efficacy was assessed by changes in pain, swelling and blood uric acid levels, with concurrent safety and tolerability assessments.

Results
A total of 27 (85.2% male) participants (mean ± SD age, 54.2 ± 12.5 years; BMI, 24.2 ± 3.6 kg/m2) with gout (median [IQR], years since diagnosis 4.0 [3.0–8.0]) completed intervention. In relation to safety, there were no significant changes in vital signs, blood biochemistry or cell counts. In regard to efficacy, the degree of perceived pain and frequency of joint swelling significantly declined after 15 and 30 days of treatment, respectively, and remained so until the end of trial. Mean blood uric acid levels also declined by 25.8 μmol/L (95% CI, 3.7 to 48.0, p=0.024). Overall, the predominance of participants (96.3%) responded favorably to treatment (p<0.0001) and GoutFighter
TM was well tolerated, with no serious adverse events.

Conclusion
Clinically relevant doses of GoutFighter
TM were found to be generally safe, well-tolerated and effective for the short-term, symptomatic relief of chronic gout. GoutFighter
TM appears to be suitable as an adjunctive treatment in lifestyle programs for gout management, and further investigation in placebo-controlled trials is therefore warranted.
Classification of the affine structures of a generalized quaternion group of order ⩾32{\geqslant 32}
Authors: Rump Wolfgang 
Published: May 2020

Abstract
Based on computing evidence, Guarnieri and Vendramin conjectured that, for a generalized quaternion group G of order

2
n

⩾
32

{2^{n}\geqslant 32}

, there are exactly seven isomorphism classes of braces with adjoint group G.
The conjecture is proved in the paper.
On the supersolubility of a group with semisubnormal factors
Authors: Monakhov Victor S. , Trofimuk Alexander A. 
Published: May 2020

Abstract
A subgroup A of a group G is called seminormal in G if there exists a subgroup B such that

G
=

A
⁢
B

{G=AB}

and AX is a subgroup of G for every subgroup X of B.
We introduce the new concept that unites subnormality and seminormality.
A subgroup A of a group G is called semisubnormal in G if A is subnormal in G or seminormal in G.
A group

G
=

A
⁢
B

{G=AB}

with semisubnormal supersoluble subgroups A and B is studied.
The equality

G
𝔘

=

(

G
′

)

𝔑

{G^{\mathfrak{U}}=(G^{\prime})^{\mathfrak{N}}}

is established; moreover, if the indices of subgroups A and B in G are relatively prime, then

G
𝔘

=

G

𝔑
2

{G^{\mathfrak{U}}=G^{\mathfrak{N}^{2}}}

.
Here

𝔑

{\mathfrak{N}}

,

𝔘

{\mathfrak{U}}

and

𝔑
2

{\mathfrak{N}^{2}}

are the formations of all nilpotent, supersoluble and metanilpotent groups, respectively;

H
𝔛

{H^{\mathfrak{X}}}

is the

𝔛

{\mathfrak{X}}

-residual of H.
Also we prove the supersolubility of

G
=

A
⁢
B

{G=AB}

when all Sylow subgroups of A and of B are semisubnormal in G.
Applying combinatorial results to products of conjugacy classes
Authors: Camina Rachel Deborah 
Published: May 2020

Abstract
Let

K
=

x
G

{K=x^{G}}

be the conjugacy class of an element x of a group G, and suppose K is finite.
We study the increasing sequence of natural numbers

{

|

K
n

|

}

n
≥
1

{\{\lvert K^{n}\rvert\}_{n\geq 1}}

and consider restrictions on this sequence and the algebraic consequences.
In particular, we prove that if

|

K
2

|

<

3
2

⁢

|
K
|

{\lvert K^{2}\rvert<\frac{3}{2}\lvert K\rvert}

or if

|

K
4

|

<

2
⁢

|
K
|

{\lvert K^{4}\rvert<2\lvert K\rvert}

, then

K
n

{K^{n}}

is a coset of the normal subgroup

[
x
,
G
]

{[x,G]}

for all

n
≥
2

{n\geq 2}

or 4, respectively.
We then use these results to contribute to conjectures about the solubility of

〈
K
〉

{\langle K\rangle}

when

K
n

{K^{n}}

satisfies certain conditions.
Current State of (Dis)Integration: Public Health and Fusion Centers
Authors: Minks Cody , Richter Anke 
Published: May 2020

AbstractObjectiveResponding to large-scale public health emergencies relies heavily on planning and collaboration between law enforcement and public health officials. This study examines the current level of information sharing and integration between these domains by measuring the inclusion of public health in the law enforcement functions of fusion centers.MethodsSurvey of all fusion centers, with a 29.9% response rate.ResultsOnly one of the 23 responding fusion centers had true public health inclusion, a decrease from research conducted in 2007. Information sharing is primarily limited to information flowing out of the fusion center, with little public health information coming in. Most of the collaboration is done on a personal, informal, ad-hoc basis. There remains a large misunderstanding of roles, capabilities, and regulations by all parties (fusion centers and public health). The majority of the parties appear to be willing to work together, but there but there is no forward momentum to make these desires a reality. Funding and staffing issues seem to be the limiting factor for integration.ConclusionThese problems need to be urgently addressed to increase public health preparedness and enable a decisive and beneficial response to public health emergencies involving a homeland security response.
On the enregisterment of the Lancashire dialect in Late Modern English: Spelling in focus
Authors: Ruano-García Javier 
Published: May 2020

AbstractThis paper places literary recreations of Lancashire English into the context of enregisterment and the sociolinguistics of spelling. Using theSalamanca Corpus, I examine Lancashire dialect writings published between 1700 and 1900 representative of both dialect literature and literary dialect to determine the repertoire of forms that were circulated in representations of the dialect. More specifically, my aim is to identify the respellings employed to highlight the pronunciation features that may have been noticeable at the time and associated with a Lancashire identity. I argue that the socially meaningful choices made by Lancashire writers can be seen as authenticating practices whereby the dialect was constructed and circulated, having authenticity effects concerning how it was experienced by the audience. The analysis treats respellings as sociolinguistic variables that are quantified to measure the relative salience of the phonological features they represent. It focuses on three of the commonly occurring traits found in the corpus, namely the MOUTH, GOAT, and PRICE diphthongs, showing that such an approach may give insight into their degree of salience, whilst providing a window into how the Lancashire dialect was perceived during this time.
A geometric based preprocessing for weighted ray transforms with applications in SPECT
Authors: Goncharov Fedor 
Published: May 2020

Abstract
In this work we investigate numerically the reconstruction approach proposed in [F. O. Goncharov and R. G. Novikov,
An analog of Chang inversion formula for weighted Radon transforms in multidimensions,
Eurasian J. Math. Comput. Appl. 4 2016, 2, 23–32] for weighted ray transforms (weighted Radon transforms along oriented straight lines) in 3D. In particular, the approach is based on a geometric reduction of the data modeled by weighted ray transforms to new data modeled by weighted Radon transforms along two-dimensional planes in 3D. Such reduction could be seen as a preprocessing procedure which could be further completed by any preferred reconstruction algorithm. In a series of numerical tests on modelized and real SPECT (single photon emission computed tomography) data we demonstrate that such procedure can significantly reduce the impact of noise on reconstructions.
Oxytactic Microorganisms and Thermo-Bioconvection Nanofluid Flow Over a Porous Riga Plate with Darcy–Brinkman–Forchheimer Medium
Authors: Zhang Lijun , Bhatti Muhammad Mubashir , Ellahi Rahmat , Michaelides Efstathios E. 
Published: May 2020

Abstract
The aim of this paper is to analyze the behavior of oxytactic microorganisms and thermo-bioconvection nanofluid flow through a Riga plate with a Darcy–Brinkman–Forchheimer porous medium. The Riga plate is composed of electrodes and magnets that are placed on a plane. The fluid is electrically conducting, and the Lorentz force evolves exponentially along the vertical direction. The governing equations are formulated with the help of dimensionless variables. With the aid of a shooting scheme, the numerical results are presented in graphs and tables. It is noted that the modified Hartmann number boosts the velocity profile when it is positive, but lowers these values when it is negative. The density-based Rayleigh number and the nanoparticle concentration enhance the fluid velocity. The thermal Rayleigh number and the Darcy–Forchheimer number decrease the velocity. An increase in Lewis number causes a remarkable decline in the oxytactic microorganism profile. Several useful results for these flows with oxytactic microorganisms through Darcy–Brinkman–Forchheimer porous media are presented in this paper.
An infant presenting with extreme hypertriglyceridemia diagnosed as glycogen storage disease type Ia
Authors: Fang Ling-Juan , Abuduxikuer Kuerbanjiang , Yan Xiu-Mei , Zhu Huan , Huang Kai-Yu 
Published: May 2020

Abstract

Background
Marked hypertriglyceridemia in infancy is extremely rare. Patients with severe hypertriglyceridemia in early life may be unmasked by a primary or secondary cause.

Case presentation
A female infant was born in a good condition with normal Apgar scores. No special clinical symptoms and signs had been found within the first two months of life. Poor oral intake and failure to thrive were two main clinical manifestations when she was referred to our hospital at the age of 3.5 months. The milky serum was the only one characteristic presentation. Laboratory testing showed extremely high level of triglycerides, cholesterol and lactate. Many other laboratory indexes cannot be detected because of severe hyperlipemic samples. Multi-gene panel testing for 249 genes about genetic and metabolic liver disease were performed. Gene analysis revealed a G6PC gene deficiency. The patient was a homozygote for c.248G > A, p.R83H and her parents were both the heterozygotes. The infant had been diagnosed as glycogen storage disease type Ia.

Conclusions
We report an infant presenting with extreme hypertriglyceridemia diagnosed as glycogen storage disease type Ia by genetic testing. The gene panel can be used to confirm the diagnosis and delineate the exact type of glycogen storage disease, which could ultimately really help to reduce unnecessary tests and invasive examinations. Serum lipid should be close monitoring in order to prevent the complications and improve the prognosis.