bluuebunny/crossref_metadata_2025 huggingface dataset:
FOOD SECURITY AND ITS PLACE IN THE STRUCTURE OF ECONOMIC SECURITY OF THE STATE
Authors: Zakhodym Maryna
Published: October 2022

Purpose. The aim of the article is clarification of the essence of food security and determining its place in the structure of economic security of the state.

Methodology of research. General scientific and special research methods were used in the process of research, namely: monographic – for theoretical generalization of the essence of food safety, analysis of research results of other scientists-researchers; economic and statistical – in the analysis of the level of consumption of the main types of food of the population of Ukraine, abstract and logical – to formulate conclusions.

Findings. The essence of food security is highlighted. Its place in the structure of economic security of the state is established, considering that the last opens internal possibilities and defines strategic alternatives of social and economic growth for maintenance of public welfare. It is determined that the issue of providing the population with physiologically necessary food was and remains the most pressing problem of the state.

It has been found that food security directly affects the health of a nation and, as a result, determines demographic security. The urgency of providing the population with high-quality food at the level of scientifically sound consumption norms in terms of effective demand and guaranteeing food security of the country has been confirmed.

Originality. The own vision of the essence of the concept of “food security” is offered, which, unlike the existing ones, is considered as a state of the economy that will guarantee physical, economic and social accessibility, food safety and quality, stability of food security at the rational level under normal conditions, and in case of emergencies – at the minimum level, and will ensure food sovereignty.

Practical value. The obtained results of the study are to develop recommendations on important areas of state support to ensure food security and a stable economic situation and can be used by the Departments of Economic Development of the regions.
Key words: food security, economic security, food, consumption rate, policy.
The Impact of the COVID-19 Pandemic on the Financial Situation of Hospitals in Europe
Authors: Naruć Wojciech
Published: October 2022

Since 2020, the world has been facing a global pandemic of the infectious disease COVID-19 caused by the coronavirus SARS-CoV-2. It has a negative impact not only on the economy of individual countries, but also on the financial and property situation of business entities, and thus on the lives of hundreds of millions of people around the world. The aim of this article is to present the results of the study and an assessment in terms of the impact of the COVID-19 pandemic on the development of the financial situation of hospitals in Europe after the first year of the pandemic in relation to the situation several years before the pandemic. The study covered the period from 2017 to 2020. An economic analysis based on basic statistical characteristics was conducted using the financial data of a survey population of 8,995 private and public hospital operating companies in Europe, including 2,769 from Western Europe and 6,226 from Eastern Europe. The research hypothesis was confirmed only for operating income (turnover), current ratio and solvency ratio, while it was not confirmed for asset situation. For the other analyzed economic quantities, heterogeneous results were obtained depending on the region of Europe in which the hospital is located.
The Influence of Employee Engagement on Organizational Performance: A Systematic Review
Authors: Kurniawati Nurul Imani , Raharja Edy
Published: October 2022

Employee performance is primarily the result of achievements in the workplace. Performance refers to sticking to plans while aiming for results. The study used a systematic literature review (SLR) to understand the factors affecting organizational performance and employee engagement from some literature published in databases of well-known journals such as Emerald, Wiley, Scopus, SAGE, and Google Scholar from 2010 to 2022. The goal is to reflect the factors that influence the impact of employee engagement on organizational performance. The results showed a significant relationship between the effect of employee engagement on organizational performance with p < 0.01. Employee engagement and organizational performance have nine categories: PsyCap, job fit, internal communication, commitment, motivation, Personality, Employee Satisfaction, retention, and Performance. Even though most of the research sources have come from the United States, the study highlighted the relationship between employee engagement and organizational performance, followed by England, China, India, and Spain. The limitation of this study is that this study is limited to subjects that discuss the impact of employee engagement and organizational performance.
ESG: primeiros passos, em especial para empresas públicas
Authors: Ferola Bruno Galvão , Paglia Lucas Barbosa
Published: October 2022

ESG, é um acrônimo em inglês para Environmental, Social and Corporate Governance, traduzido para o português como ASG, Ambiental, Social e Governança Corporativa. Independentemente da sigla usada, remete ao conjunto de práticas empresariais relacionadas ao desenvolvimento sustentável como meio estratégico de atratividade financeira e estruturação de uma cultura íntegra de governança.
Governança e o processo de tomada de decisão: A racionalização na entrega de valor público
Authors: Nardes João Augusto Ribeiro , Brites Elise Eleonore de
Published: October 2022

O Brasil, por suas dimensões continentais, também vem intensificando a busca pela melhoria de sua gestão pública e privada. Os avanços tecnológicos e a complexidade dos tempos atuais de nosso mundo globalizado têm exigido do governo brasileiro um aprimoramento de sua estrutura e de sua forma de atuação. Muitas são as tendências atuais, incluindo a "hiperautomação" e a inteligência artificial, o que reforça a necessidade de uma administração voltada para a atualidade. Os desafios são colossais!
Governança, integridade e resultados caminham juntos
Authors: Medeiros Marcio Lima , Codignoto Roberta
Published: October 2022

Em boa parte do mundo há esforços significativos para aperfeiçoar a governança das organizações no setor público e privado, de modo a aumentar a capacidade de entrega de resultados para seus clientes, reduzir os custos de funcionamento e melhorar o gerenciamento dos seus riscos.
Microneedle-based ocular drug delivery systems – recent advances and challenges
Authors: Gadziński Piotr , Froelich Anna , Wojtyłko Monika , Białek Antoni , Krysztofiak Julia , Osmałek Tomasz
Published: October 2022

Eye diseases and injuries constitute a significant clinical problem worldwide. Safe and effective delivery of drugs to the eye is challenging mostly due to the presence of ocular barriers and clearance mechanisms. In everyday practice, the traditional eye drops, gels and ointments are most often used. Unfortunately, they are usually not well tolerated by patients due to the need for frequent use as well as the discomfort during application. Therefore, novel drug delivery systems with improved biopharmaceutical properties are a subject of ongoing scientific investigations. Due to the developments in microtechnology, in recent years, there has been a remarkable advance in the development of microneedle-based systems as an alternative, non-invasive form for administering drugs to the eye. This review summarizes the latest achievements in the field of obtaining microneedle ocular patches. In the manuscript, the most important manufacturing technologies, microneedle classification, and the research studies related to ophthalmic application of microneedles are presented. Finally, the most important advantages and drawbacks, as well as potential challenges related to the unique anatomy and physiology of the eye are summarized and discussed.
Strategi Tim Sukses Pemenangan Askolani-Slamet Dalam Pemilihan Bupati Banyuasin Tahun 2018
Authors: Wulandari Indah , Kariem Muhammad Qur’anul , Amaliatulwalidain Amaliatulwalidain
Published: October 2022

Political marketing strategy is one of the factors that support the victory of a candidate in an election. In 2018, there was an interesting phenomenon in the Pilbub Banyuasin. Where the votes from the Askolani-Slamet pair were categorized as getting quite a large number of votes among the other 5 candidates. Seeing this condition, researchers are interested in conducting research to find out the strategy and significance of the Askolani-Slamet success team in the Banyuasin Pilbub. This study uses descriptive qualitative methods, where data collection techniques use interviews, documentation and observation. The results of this study stated that the factor of the victory of the Askolani-Slamet coalition in the Regional Head General Election in Banyuasin Regency in 2018 was influenced by three factors; First, there is a coalition of political parties. Second, there is political participation and involvement of the Banyuasin community in granting voting rights in the 2018 post-conflict local election. Third, there are modalities, which consist of political capital, social capital, cultural capital and economic capital. Political marketing that has been carried out is the formation of figures and complex campaign programs that include 4 indicators that use Niffenger's theory in the book Firmanzah: 2020 that runs optimally and runs well, namely determining political products, promotions, prices, and places.
Наближення сумами Фур’є на класах диференційовних у сенсі Вейля – Надя функцій із високим показником гладкості
Authors: Serdyuk A. S. , Sokolenko I. V.
Published: October 2022

УДК 517.5
Встановлено асимптотичні оцінки точних верхніх меж відхилень у рівномірній метриці частинних сум Фур'є порядку

n
-
1

на класах

2
π

-періодичних функцій, диференційовних у сенсі Вейля–Надя,

W

β
,
p

r

,1
≤
p
≤
∞
,
β
∈
ℝ
,

при високих показниках гладкості Аналогічні оцінки встановлено і в метриках просторів

L
p

,1
≤
p
≤
∞
,

для функціональних класів

W

β
,1

r

.
Paley – Wiener type theorem for functions with values in Banach spaces
Authors: Bang H. H. , Huy V. N.
Published: October 2022

UDC 517.5
Let

(
𝕏
,
‖
.

‖
𝕏

)

denote a complex Banach space and

L

(
𝕏
)

=
B
C

(
ℝ
→
𝕏
)

be the set of all

𝕏

-valued bounded continuous functions

f
:
ℝ
→
𝕏
.

For

f
∈
L

(
𝕏
)

we define

‖
f

‖

L

(
𝕏
)

=
sup

{
‖
f

(
x
)

‖
𝕏

:
x
∈
ℝ
}

.

Then

(
L
(
𝕏
)
,
‖
.

‖

L
(
𝕏
)

)

itself is a Banach space. The Beurling spectrum

S
p
e
c

(
f
)

of a function

f
∈
L

(
𝕏
)

is defined by

S
p
e
c

(
f
)

=

{
ζ
∈
ℝ
:
∀
ϵ
>
0
∃
φ
∈
𝒮

(
ℝ
)

:
supp

φ
^

⊂

(
ζ
-
ϵ
,
ζ
+
ϵ
)

,
φ
*
f
≢
0
}

.
}
.

We obtain the following Paley-Wiener type theorem for functions with values in Banach spaces:
Let

f
∈
L

(
𝕏
)

and

K

be an arbitrary compact set in

ℝ
.

Then

Spec

(
f
)

⊂
K

if and only if for any

τ
>
0

there exists a constant

C
τ

<
∞

such that

<
b
r
>
‖
P

(
D
)

f

‖

L

(
𝕏
)

≤

C
τ

<
b
r
>
‖
f

‖

L

(
𝕏
)

sup

x
∈

K

(
τ
)

|
P

(
x
)

|
<
b
r
>

for all polynomials with complex coefficients

P

(
x
)

,

where the differential operator

P

(
D
)

is obtained from

P

(
x
)

by substituting

x
→
-
i

d

ⅆ
x

,

d

ⅆ
x

is the usual derivative in

L

(
𝕏
)

and

K

(
τ
)

is the

τ

-neighborhood in

ℂ

of

K
.

Moreover, Paley-Wiener type theorem for integral operators and one for some special compacts

K

are also given.
b

-Generalized derivations on prime rings
Authors: Pehlivan T. , Albaş E.
Published: October 2022

Let

R

be a prime ring with center

Z

(
R
)

, right Martindale quotient ring

Q

and extended centroid

C

. By a

b

-generalized derivation we mean an additive mapping

g
:
R
→
Q

such that

g

(
x
y
)

=
g

(
x
)

y
+
b
x
d

(
y
)

for all

x
,
y
∈
R

, where

b
∈
Q

and

d
:
R
→
Q

is an additive map. In this paper, we extend some well-known results concerning (generalized) derivations on prime rings to

b

-generalized derivations. Further we investigate

b

-generalized derivation acting as a homomorphism or anti-homomorphism in a prime ring.
First cohomology space of the orthosymplectic Lie superalgebra

o
s
p

(
n
|
2
)

in the Lie superalgebra of superpseudodifferential operators
Authors: Boujelben M.
Published: October 2022

UDC 515.12 We investigate the first cohomology space associated with the embedding of the Lie orthosymplectic superalgebra

o
s
p

(
n
|
2
)

on the

(
1
,
n
)

-dimensional superspace

ℝ

1
|
n

in the Lie superalgebra

𝒮
Ψ

D
O

(
n
)

(for

n
≥
4

) of superpseudodifferential operators with smooth coefficients. Following Ovsienko and Roger, we give explicit expressions of the basis cocycles.This work is the simplest generalization of a result by Basdouri [First space cohomology of the orthosymplectic Lie superalgebra in the Lie superalgebra of superpseudodifferential operators, Algebras and Representation Theory, 16, 35-50 (2013)].
Одностайна неперервність сімей відображень з умовою нормування в термінах простих кінців
Authors: Ilkevych N. S. , Sevost’yanov E. A.
Published: October 2022

УДК 517.5Вивчаються вiдображення з розгалуженням, якi задовольняють деяку умову спотворення модуля сiмей кривих. У випадку, коли область визначення вiдображень має слабко плоску межу, вiдображена область є регулярною, а мажоранта, яка вiдповiдає за спотворення модуля сiмей кривих, — iнтегровною, доведено, що сiм’ї вказаних вiдображень з однiєю умовою нормування є одностайно неперервними в замиканнi вихiдної областi.
Nonlinear skew commuting maps on

*

-rings
Authors: Kong L. , Zhang J.
Published: October 2022

UDC 512.5
Let

ℛ

be a unital

*

-ring with the unit

I

. Assume that

ℛ

contains a symmetric idempotent

P

which satisfies

A
ℛ
P
=
0

implies

A
=
0

and

A
ℛ

(
I
-
P
)

=
0

implies

A
=
0

. In this paper, it is proved that if

ϕ
:
ℛ
→
ℛ

is a nonlinear skew commuting map, then there exists an element

Z
∈

𝒵
S

(
ℛ
)

such that

ϕ

(
X
)

=
Z
X

for all

X
∈
ℛ

, where

𝒵
S

(
ℛ
)

is the symmetric center of

ℛ

.As an application, the form of nonlinear skew commuting maps on factors is obtained.
Generalized derivations acting on multilinear polynomials as a Jordan homomorphisms
Authors: Tiwari S. K. , Prajapati B.
Published: October 2022

UDC 512.5
Let

R

be a prime ring whose characteristic is not equal to

2
,

let  

U

be the Utumi quotient ring of

R
,

and let

C

be the extended centroid of

R
.

  Also let

G

and

H

be two generalized derivations on

R

and let

f

(

x
1

,
…
,

x
n

)

be a noncentral multilinear polynomial over

C
.

  If

G

(
H
(

u
2

)
)

=

(
H
(
u
)
)

2

for all

u
=
f

(

r
1

,
…
,

r
n

)

,

r
1

,
…
,

r
n

∈
R
,

then one of the following holds:
1)

H
=
0
;

2) there exists

λ
∈
C

such that

G

(
x
)

=
H

(
x
)

=
λ
x

for all

x
∈
R
;

3) there exist

λ
∈
C

and

a
∈
U

such that

H

(
x
)

=
λ
x

and

G

(
x
)

=

[
a
,
x
]

+
λ
x

for all

x
∈
R

and

f

(

x
1

,
…
,

x
n

)

2

is central-valued on

R
.
K

-функціонали та екстремальні задачі теорії апроксимації класів аналітичних у крузі функцій. II.
Authors: Vakarchuk S. B. , Vakarchuk M. B.
Published: October 2022

УДК 517.5
У банахових просторах Гардi, Бергмана та Гварадзе аналiтичних в одиничному крузi функцiй отримано точнi значення колмогоровського, бернштейнiвського та тригонометричного

n

-поперечникiв класiв, означених за допомогою композицiй Адамара, узагальнених

K

-функцiоналiв та мажорант. На зазначених класах функцiй також знайдено точнi значення верхнiх меж модулiв коефiцiєнтiв Тейлора.
Умови регулярності розв’язків деяких параболічних систем
Authors: Diachenko O. V. , Los V. M.
Published: October 2022

UDC 517.956.4
Досліджено глобальну і локальну регулярність узагальнених розв'язків початково-крайової задачі для параболічної за Петровським системи диференціальних рівнянь другого порядку. Результати сформульовано в термінах приналежності правих частин задачі деяким узагальненим просторам Соболєва. Отримано нові достатні умови класичності узагальненого розв'язку.
Path Planning of AUV Swarms Using a Bio-inspired Multi-Agent System
Authors: Sahoo Sarada Prasanna , Das Bikramaditya , Pati Bibhuti Bhusan
Published: October 2022

This paper uses a multi-agent system (MAS) as the bioinformatics-inspired technique for guiding a team of autonomous underwater vehicles (AUVs) toward the desired destination. An individual AUV is designated as an agent connected by a communication network and assumes full communication. Here, each AUV estimates the position of its neighbor AUVs while moving toward the destination. The proposed multi-AUV system consists of a leader AUV and five follower AUVs. A distributed path consensus (DPC) is proposed to ensure the neighboring agent AUVs maintain a predefined distance between each other while moving toward the predefined destination. Due to the proposed distance constraint between neighboring agents, AUVs stay at a safe distance from each other while maintaining underwater communication using interactive switching topology. The performance of the optimized path is obtained using MATLAB simulation. The proposed algorithm is applied in both, formation using the desired shape, and trajectory tracking, and found to be globally asymptotically stable. The results of the simulation confirm that each agent switches from one state to another and progress over time until the desired coordinated shape is achieved without inter-vehicular collision. The proposed method solves coordination problems among multiple AUVs and increases the coverage of underwater missions like oceanographic surveys.
Efficient User Grouping for MU-MIMO Visible Light Communications Based on Block Diagonalization
Authors: Panta Jariya , Saengudomlert Poompat , Sterckx Karel L.
Published: October 2022

This paper investigates efficient user grouping methods for multi-user multi-input multi-output (MU-MIMO) visible light communication (VLC) systems. Block diagonalization (BD) precoding is considered for interference avoidance. In addition, time division multiplexing (TDM) is applied to perform user grouping when the number of users exceeds the limit of BD precoding based on the number of light emitting diode (LED) transmitters and the total number of users' photodiodes (PDs). User grouping methods are proposed based on pairwise interference considerations among users in the same group. The proposed methods can be implemented through integer linear programming (ILP), which requires less computation than exhaustive search. The numerical results on the average minimum user throughputs over random scenarios indicate that the proposed hybrid method can significantly outperform random user grouping and performs reasonably well compared to exhaustive search. Finally, this study demonstrates that, when BD precoding greatly attenuates the desired user signals, user grouping can help improve minimum user throughputs even though BD precoding can support all users as a single group.
Data Aggregation Methods for IoT Routing Protocols
Authors: Majumdar Parijata , Bhattacharya Diptendu , Mitra Sanjoy
Published: October 2022

Agriculture productivity can be enhanced by IoT- enabled real-time monitoring of weather and soil parameters. Increased volume of sensor data demands a significant amount of memory and power. It also overloads the network, making real-time parameter monitoring very difficult. A large volume of sensor data reduces the lifetime and latency of the network, decreasing the overall throughput. Hence, a reduction in data overload becomes necessary for energy optimization of these energy-constrained sensors. Data aggregation is an effective way of optimizing energy consumption by reducing the volume of redundantly sensed data. Data aggregation helps in designing energy-efficient routing algorithms to transmit information by consuming minimum energy to increase the operational period of the network. This paper surveys different routing algorithms for data aggregation with a focus on energy optimization in precision agriculture. The survey includes IPv6 routing protocol for low-power and lossy networks (RPL) to reduce network overload during data transmission, nature-inspired algorithms for energy-optimized intracluster communication, and energy-efficient compressive sensing (CS) to minimize redundant data by aggregation. It also examines duty-cycling algorithms for reducing average energy consumption by periodically placing sensors into the sleep mode during inactive state to save energy. Different performance benchmarks are evaluated to determine the suitability of the routing algorithms in agriculture.
Access Convergence for Heavy Load Markov Ethernet Bursty Traffic Using Two-level Statistical Multiplexing
Authors: Nlend Samuel , Swart Theo G. , Twala Bhekisipho
Published: October 2022

A method for modeling aggregated heavy Markov bursty Ethernet traffic from different sources is proposed in this paper, particularly that prevailing between gateway services and internet routing devices, with the aim of achieving rate accommodation. In other words, to accommodate different rates while filtering out delays in the queue, to achieve access network convergence. Although gateway functions can be used to achieve this by adapting service rates, as many gateways as services are required. Instead of considering the distributed gateway services method, statistical multiplexing is chosen for this study for cost efficiency in network resources. Unfortunately, statistical multiplexing exhibits greater packet variation (jitter) and transfer delay. These delays, basically resulting from positive correlations or time dependency in the queue system, are addressed through infinitesimal queue modeling, based on the diffusion process approximated by Ornstein-Uhlenbeck, which deals with infinitesimal changes in the Markov queue. The related analysis has resulted in an exponential queueing model for univariate and/or multivariate servers obtained through Markov Gaussian approximation. An experiment based on two different voice algorithms shows rate accommodation, and a fluid solution, which is dynamically outputted according to the transmission link availability during each transition time, without any significant delay. Hence, better transfer delay and rate control is obtained through the proposed two multiplexing levels within an Ethernet LAN
Predictive Lossless Queue for Extremely Large Dataset Transfer in Markov Communication Systems
Authors: Nlend Samuel , Swart Theo G. , Twala Bhekisipho
Published: October 2022

In this paper, a parametric prediction model is proposed for a queuing system driven by the Markov process. The aim of the model is to minimize the packet loss caused by time dependency characterized by the queue tail being too long, resulting in a time-out during the transfer of a large dataset. The proposed technique requires the key parameters influencing the queue content to be determined prior to its occupation regardless of the server capacity definition, using Bayesian inference. The subsequent time elapsing between the arrival and departure of a packet in the system is given, as well as the system load. This queue content planning is considered as the Markov birth-death chain; a type of discretization that characterizes almost all queuing systems, leading to an exponential queue, and captured herein using beta distribution. The inference results obtained using this exponential queue indicate that the queue with predictive parameters employing beta distribution, even when dealing with a loss system queue, involves less transition time and a greater load than a queue with coarse parameters; hence, preventing a long tail in the queue which is the cause of packet loss.
Observability Enhancement of Smart Grid Based on Optimal Placement of PMUs
Authors: Priyadarshi Alok , Rathore Vishal , Yadav Krishna Bihari
Published: October 2022

This paper presents an efficient observation concerning the enhancement of smart grid (SG) based on the optimal placement of phasor measurement units (OPP) using nonlinear programming (NLP). The proposed algorithm tries to achieve two objectives: (i) to ascertain the minimum number of phasor measurement units (PMUs) and (ii) to increase the redundancy of the SG at all the buses. Synchronized current and voltage phasors are obtained to enhance the accuracy of the state estimation results—a minimum number of PMUs results in a lack of communication facilities at the substation. PMU losses will lead to unobservable buses at the SG. Therefore, PMU losses and communication constraints should be considered during the design process. Limited channel capacity, conventional measurement, and zero-injection bus measurements are also included in the proposed PMU formulation. The proposed algorithm is examined on IEEE~14-, 30-, 57-, 118-, and 300-bus test systems in MATLAB to verify its effectiveness. Furthermore, the results are compared with the simplex linear programming and mixed linear programming methods to prove the efficacy of the presented algorithm. The output thus obtained reveals that the NLP algorithm obtains approximately the same PMUs as other methods.
Performance Analysis and Evaluation of a Multi-Hop Routing Protocol for Wireless Multimedia Sensor Networks
Authors: Saleem Madyen M. , Alabady Salah Abdulghani
Published: October 2022

Researchers in wireless multimedia sensor networks (WMSNs) are constantly interested in designing and developing energy-efficient routing protocols. Numerous clustering routing protocols have been developed in recent years to overcome the limitation of consuming less energy and prolong the lifetime of sensor nodes in homogeneous and heterogeneous WMSNs. Existing approaches depend on single-hope communication, in which sensor nodes consume more energy and die faster. Inter-communication nodes can play an important role in reducing energy by transmitting data in a multi-hope fashion to the sink. An energy-efficient multi-path clustering with load balancing routing protocol for wireless multimedia sensor networks (EEMCL) is proposed in this study. In this protocol, the main cluster heads (MCHs) are preselected in each network cluster and filled with more energy than normal sensor nodes. The two secondary cluster heads (SCHs) with the highest energy nodes will be selected by the main cluster head algorithm. Moreover, inter-cluster multi-hop routing with the help of MCHs can enhance the network lifetime when the sink is located at the corner of the sensing field. The simulation results verify that the proposed multi-hop technique provides better performance than existing LEACH, LEACH-C, SEEN, and IEE-LEACH routing protocols in scenario 1 and when compared with CPMA in scenario 2. The last node dead (LND) for the proposed protocol is at round 5721, 2225 for LEACH, 2300 for LEACH-C, 2900 for SEEN, and 3160 for IEE−LEACH in scenario 1, while in scenario 2, the LND for the proposed protocol is at round 3820 and 435 for the CPMA routing protocol.
Audio Feature and Correlation Function-Based Speech Recognition in FM Radio Broadcasting
Authors: Phruksahiran Narathep
Published: October 2022

The analysis and classification of audio signals are becoming increasingly important, especially in the age of communication and dissemination of information through radio broadcasting systems. It is therefore essential that systems and platforms are available to monitor the spread of fake or fraudulent news. A speech feature-based correlation (SFC) algorithm and a speech recognition framework are developed in this study, combining specific speech features and performance correlation to monitor real-time radio broadcasting and recognize specific speech based on human samples. The speech features include the Mel frequency cepstral coefficient, gammatone cepstral coefficient, spectral entropy, and pitch. The results illustrate the advantages and disadvantages of each feature applied to the various speech sound groups. Furthermore, each feature combined with the design of SFC further enhances system performance and increases accuracy.
Fault Diagnosis in the Brushless Direct Current Drive Using Hybrid Machine Learning Models
Authors: Sarman K.V.S.H. Gayatri , Madhu Tenneti , Prasad Mallikarjuna
Published: October 2022

The brushless direct current (BLDC) motor drive is gaining popularity due to its excellent controllability and high efficiency. This paper introduces a fault diagnosis method for open circuit (OC) and short circuit (SC) BLDC motor drives using a hybrid classifier with hybrid optimization. Features such as current, voltage, speed, and torque are considered as the training data. The features are extracted by discrete wavelet transform (DWT) and then employed to train the classifiers to distinguish between fault types and values of response parameters using the support vector machine and Naive Bayes classifier (SVM-NB). To further improve the performance of the system, hybrid chaotic particle swarm optimization (CPSO) algorithms and teaching-learning-based optimization (TLBO) are used. This method is capable of detecting and recognizing the type of faults in the BLDC motor. The developed approach is implemented on the MATLAB/SIMULINK for OC, SC, and no-fault conditions. These hybrid algorithms provide better performance compared to existing approaches with respect to sensitivity, accuracy, and specificity. This improved model achieves about 98.8% accuracy.
Mother Wavelet Performance Evaluation for Noise Removal in Partial Discharge Signals
Authors: Sornsen Isara , Suppitaksakul Chatchai , Toonkum Pollakrit
Published: October 2022

This article aims to study the pattern of partial discharge (PD) signals occurring on the insulators of high-voltage systems. A mother wavelet comparison and wavelet decomposition are presented to detect and locate PD signals by dividing them into three processes: 1) Signal test generation, employing RC and RLC impedance circuits whereby the output voltage pulses in the RC impedance circuit are expressed as damped exponential pulses (DEPs) and those of the RLC as damped oscillatory pulses (DOPs). White Gaussian noise (AWGN) is then added, which mimics the effect of many random processes in measurement systems. The concept involves applying noise to the original signal and removing it with wavelet transform using various wavelet templates such as Daubechies, Coiflet, Symlet, and biorthogonal to separate the signal components. The experiment results are then compared, and a performance evaluation performed using mean square error (MSE) as in the first two signals. 2) DEPs and DOPs are added with a sine wave to simulate a virtual measurement from a measuring instrument according to the superposition principle using a band-pass filter with the frequency range specified by the two elements to determine the frequency of the resulting PD. 3). The results of the PD signal experiments developed in the laboratory are also evaluated for efficiency by subjective measurement by a PD signal specialist. Therefore, partial discharge denoizing is evaluated using the mother wavelet as a preprocessing step for feature extraction and classification.
Creation of a Rigorous Human Head Model from MRI Images with Reports on SAR Caused by 2.6 GHz 5G Mobile Handset Radiation
Authors: Jariyanorawiss Terapass , Kanjanasit Komsan , Chongburee Wachira
Published: October 2022

This research work proposes a method to rigorously model a 3D human head from the informative data in magnetic resonance imaging (MRI). The approach is based on each slice of 53 MRI resized to a 64 × 64 grayscale image to enable a practical simulation. The optimized unit cell of 5.6 × 5.6 × 5.6 mm3 is identified as a particular type of tissue. It corresponds to the average size of an actual human brain. The material properties are assigned to various tissues of the entire structure of the human head. The computational model of this will then be used as a virtual object to study the specific absorption rate (SAR) with electromagnetic radiation (EMR) at 2.6 GHz as a 5G mid-band frequency. A commonly known finite-different time-domain (FDTD) method is used as a tool in the SAR simulation. The key results show that a handset with a power of less than 0.8 W (Watts), operating at a handset to head separation distance of 1.12 cm, will meet the FCC SAR 1g limit of 1.6 W/kg.
Factors on development and severity of acute radiodermatitis: prospective single-center study
Authors: ALTINIŞIK İNAN Gonca , ARSLAN Alaettin , ARAL İpek Pınar , AYTAÇ ARSLAN Suheyla
Published: October 2022

Aim: Although prior literature has examined the treatment and patient-associated factors affecting the development and severity of acute radiodermatitis, there are relatively few prospective studies evaluating both. This study was prospectively designed to evaluate factors affecting the development and extent of radiation-induced acute skin toxicity called radiodermatitis (RD).

Material and Method: A total of 63 patients who underwent radiotherapy (RT) in Ankara Atatürk Research and Education Hospital between July 2017 and October 2018 were evaluated. Patients’ demographic status, disease/treatment details, hemoglobin, ferritin, folic acid, Vit B12, and hemoglobin A1c values were recorded. The development and grade of RD were evaluated weekly by the same radiation oncologist using the Radiation Therapy Oncology Group (RTOG) radiation toxicity guideline.

Results: There was no significant relationship between the development of any degree of RD and gender, concomitant chemotherapy (CT), pre-RT CT, comorbid disease, RT technique and blood parameters (Hb, Hba1c, ferritin, folic acid and B12). The development of grade 2-3 RD was significantly affected by the number of operations (p=0.032) and total dose of RT (p=0.008). In patients with grade 2/3 RD, the RT dose at which RD first appeared was 20 Gy (range, 14-36); in patients with grade 1 RD, this value was 32 Gy (range, 16-56) (p=0.018).

Conclusion: There is no significant relationship between the development of acute radiodermatitis and Hba1c, hemoglobin, ferritin, B12 and folic acid levels. There was a significant correlation between grade of RD and repeated surgery, increase in total RT dose and early onset of RD.
TD 2800 - Estimativas de acessibilidade a empregos e serviços públicos via transporte ativo, público e privado nas vinte maiores cidades do Brasil no período 2017-2019
Authors: Pereira Rafael Henrique Moraes , Braga Carlos Kauê Vieira , Herszenhut Daniel , Saraiva Marcus , Tomasiello Diego Bogado
Published: October 2022

Um dos principais objetivos das políticas de transporte é melhorar o acesso da população a oportunidades de emprego, serviços públicos e áreas de lazer. Por isso, um número cada vez maior de agências de transporte e de financiamento tem buscado incorporar estudos de acessibilidade nos processos de planejamento e avaliação de suas políticas de transporte e investimentos em infraestrutura. No entanto, a disponibilidade de dados sobre acessibilidade urbana nas cidades brasileiras ainda é muito limitada devido a desafios computacionais e ao acesso limitado a dados de sistemas de transportes e de distribuição de oportunidades. Este estudo apresenta a base de dados com estimativas de acessibilidade urbana criada no Projeto Acesso a Oportunidades, bem como descreve os métodos utilizados no seu desenvolvimento. A base consiste em uma grade de hexágonos de alta resolução espacial que agrega estimativas de acessibilidade a empregos (de baixa, média e alta qualificação) e serviços públicos, como escolas (nível infantil, fundamental e médio), estabelecimentos de saúde (serviços hospitalares e ambulatoriais de baixa, média e alta complexidade) e centros de referência para assistência social (Cras). Essas estimativas são calculadas usando vários indicadores de acessibilidade considerando diferentes modos de transporte (caminhada, bicicleta, transporte público e automóvel), horários do dia (pico e fora-pico) e grupos populacionais (segundo níveis de renda, raça, sexo e idade). Nesta versão, a base de dados traz essas informações para o período 2017-2019, apoiando-se em uma única metodologia consistente para as vinte maiores cidades do Brasil. Esta base é publicamente disponibilizada pelo Ipea por meio do site do Projeto Acesso a Oportunidades e do pacote de R aopdata. Espera-se que este trabalho permita que pesquisadores e gestores públicos utilizem estimativas de acessibilidade urbana na realização de pesquisas, planejamento e avaliação de políticas públicas.
Correcting Stellar Flare Frequency Distributions Detected by TESS and Kepler
Authors: Gao 高 Dong-Yang 东洋 , Liu 刘 Hui-Gen 慧根 , Yang 杨 Ming 明 , Zhou 周 Ji-Lin 济林
Published: October 2022

The habitability of planets is closely connected with stellar activity, mainly the frequency of flares and the distribution of flare energy. Kepler and TESS find many flaring stars via precise time-domain photometric data, and the frequency and energy distribution of stellar flares on different types of stars are studied statistically. However, the completeness and observational bias of detected flare events from different missions (e.g., Kepler and TESS) vary a lot. We use a unified data processing and detection method for flare events based on the light curves from Kepler and TESS. Then we perform injection and recovery tests in the original light curve of each star for each flare event to correct the completeness and energy of flares. Three samples of flaring stars are selected from Kepler and TESS, with rotation periods from 1 to ∼5 days. Adopting a hot-blackbody assumption, our results show that the cumulative flare frequency distributions (FFDs) of the same stars in Kepler and TESS bands tend to be consistent after correction, revealing a more natural flaring frequency and energy distribution. Our results also extend the low-energy limit in cumulative FFD fitting to 1031.5−33 erg on different types of stars. For solar-type stars, the average power-law index of cumulative FFD (α
cum) is −0.84, which indicates that low-energy flares contribute less to the total flare energy. With a piecewise correlation between α
cum and T
eff, α
cum first rises from M2 to K1 stars, then slightly decreases for stars hotter than K1.
Characterizing and Mitigating Telluric Absorption in Precise Radial Velocities. II. A Study of an M2-type Star
Authors: Latouf Natasha , Wang Sharon Xuesong , Cale Bryson , Plavchan Peter
Published: October 2022

Telluric absorption lines impact the measuring of precise radial velocities (RVs) from high-resolution ground-based spectrographs. In this paper, we simulate the dependence of this impact on stellar spectral type and extend the work of the first paper in this series, which studied a G-type star, to a synthetic M-dwarf star. We quantify the bias in precise RV measurements in the visible and near-infrared (NIR) from the presence of tellurics in a simulated set of observations. We find that M-dwarf RVs are more impacted by tellurics compared to G-type stars. Specifically, for an M-dwarf star, tellurics can induce RV errors of up to 16 cm s−1 in the red optical and in excess of 220 cm s−1 in the NIR. For a G dwarf, the comparable RV systematics are 3 cm s−1 in the red optical and 240 cm s−1 in the NIR. We attribute this relative increase for M-dwarf stars to the increased concordance in wavelength between telluric lines and stellar Doppler information content. We compare the results of our simulation to data collected for Barnard’s star from the iSHELL spectrograph at the NASA Infrared Telescope Facility. This study was conducted as a follow-up to the NASA probe mission concept study EarthFinder.
The Prompt Emission of GRB 130518A and the Study of Its Outflow through Hybrid Jet Models
Authors: Siddique Iqra , Sajjad Saeeda , Motiwala Khadeejah
Published: October 2022

The nature of the prompt emission mechanism in gamma-ray bursts (GRBs) remains uncertain to date. This question is also tied to the composition of the jet: thermal, Poynting flux dominated or hybrid with both types of components. In this work, we aim to study these questions in the context of GRB 130518A. By analysing its prompt emission data from the Fermi Gamma-ray Burst Monitor (GBM) and Large Area Telescope (LAT), we find that the time-integrated spectrum has a nonthermal component along with a subdominant blackbody component. We use these results to study the properties of the jet in various scenarios through the frameworks developed by Hascoët et al. and Gao & Zhang. Both frameworks exclude the pure fireball model for this GRB. In all other cases, the initial magnetic fraction is greater than the thermal fraction. For small launching radii of the jet, the favored nonthermal emission process is internal shocks. Magnetic reconnection seems likely only for very large initial radii.
Can the Violent Merger of White Dwarfs Explain the Slowest Declining Type Ia Supernova SN 2011aa?
Authors: Dutta Anirban , Anupama G. C. , Chakradhari Nand Kumar , Sahu D. K.
Published: October 2022

We present optical observations and Monte Carlo radiative transfer modeling of the Type Ia supernova (SN Ia) SN 2011aa. With a Δm
15(B) of 0.59 ± 0.07 mag and a peak magnitude M
B of −19.30 ± 0.27 mag, SN 2011aa has the slowest decline rate among SNe Ia. The secondary maximum in the I band is absent or as equally bright as the primary maximum. The velocity of C ii is lower than the velocity of Si ii. This indicates either the presence of C at lower velocities than Si or a line-of-sight effect. Application of Arnett’s radiation diffusion model to the bolometric light curve indicates a massive ejecta M
ej 1.8–2.6 M
⊙. The slow decline rate and large ejecta mass, with a normal peak magnitude, are well explained by a double degenerate, violent merger explosion model. The synthetic spectra and light curves generated with SEDONA considering a violent merger density profile match the observations.
Gouverner par la communication comportementale en temps de crise sanitaire
Authors: Arruabarrena Béa
Published: October 2022

Cet article s’intéresse à la communication gouvernementale mise en application lors de la pandémie de Covid-19. L’hypothèse que nous soutenons est que l’usage de la communication comportementale en santé, en devenant le nouveau paradigme de l’argumentation politique, et l’action publique en santé, constitue un mode interventionnel dont les effets ont de conséquences sur la cohérence des discours, inhibant potentiellement les possibilités de construire du sens commun indispensable à l’élaboration du débat entre l’État et les citoyens. À partir d’une analyse du contexte sociopolitique de développement du design des politiques publiques en santé, des outils (artefacts), des méthodes, des discours et des techniques langagières utilisés, cette recherche vise à mettre en évidence les effets du design comportemental sur la personne humaine. Plus largement, il s’agit de questionner les théories sous-jacentes de la communication comportementale, afin d'en montrer à la fois le caractère interventionnel et les limites ontologiques et éthiques du point de vue des modalités démocratiques de participation des citoyens à l'action publique.
Creating a Primary Care Track in Prelicensure Nursing Education
Authors: Hawkins Janice E. , Wiles Lynn L. , Martin Jamela , Tremblay Beth , Higgins Karen , Mahoney Ingrid
Published: October 2022

Background:

RNs practicing in primary care (PC) increase access to health care and contribute to better patient outcomes and cost savings, yet undergraduate nursing education traditionally focuses on disease-oriented care. This article describes a curricular track for infusing PC prelicensure programs.

Method:

PC content is threaded across four semesters with targeted assignments and clinical experiences. Providing clinical immersion experiences with practicing RNs as preceptors in community and PC settings is a key component of this initiative.

Results:

Student feedback has been favorable. Students stated they gained insight to the role of RNs in PC through class assignments and clinical rotations. Graduating seniors were offered employment in PC settings where they completed their practicum clinical rotations.

Conclusion:

The PC track contributes to building a nursing workforce to meet health care demands and promote health equity. Nurse educators interested in infusing PC content throughout the curriculum can adapt this model for all student populations.

[
J Nurs Educ
. 2023;62(3):171-174.]
Numerical study of a nonlinear fractional chaotic Chua's circuit
Authors: Shah Nehad Ali , Ahmed Iftikhar , Asogwa Kanayo K. , Zafar Azhar Ali , Weera Wajaree , Akgül Ali
Published: October 2022

As an exponentially growing sensitivity to modest perturbations, chaos is pervasive in nature. Chaos is expected to provide a variety of functional purposes in both technological and biological systems. This work applies the time-fractional Caputo and Caputo-Fabrizio fractional derivatives to the Chua type nonlinear chaotic systems. A numerical analysis of the mathematical models is used to compare the chaotic behavior of systems with differential operators of integer order versus systems with fractional differential operators. Even though the chaotic behavior of the classical Chua's circuit has been extensively investigated, our generalization can highlight new aspects of system behavior and the effects of memory on the evolution of the chaotic generalized circuit.
Study of HIV model via recent improved fractional differential and integral operators
Authors: Hyder Abd-Allah , Barakat Mohamed A. , Rizk Doaa , Shah Rasool , Nonlaopon Kamsing
Published: October 2022

In this article, a new fractional mathematical model is presented to investigate the contagion of the human immunodeficiency virus (HIV). This model is constructed via recent improved fractional differential and integral operators. Other operators like Caputo, Riemann-Liouville, Katugampola, Jarad and Hadamard are being extended and generalized by these improved fractional differential and integral operators. Banach's and Leray-Schauder nonlinear alternative fixed point theorems are utilized to examine the existence and uniqueness results of the proposed fractional HIV model. Moreover, different kinds of Ulam stability for the fractional HIV model are established. It is simple to recognize that the extracted results can be reduced to some results acquired in multiple works of literature.
Standing waves for quasilinear Schrödinger equations involving double exponential growth
Authors: Leuyacc Yony Raúl Santaria
Published: October 2022

We will focus on the existence of nontrivial, nonnegative solutions to the following quasilinear Schrödinger equation

   \begin{document}$ \begin{equation*} \left\lbrace\begin{array}{rcll} -{\rm div} \Big(\log \dfrac{e}{|x|}\nabla u\Big) -{\rm div} \Big(\log \dfrac{e}{|x|}\nabla (u^2)\Big) u \ & = &\ g(x, u), &\ x \in B_1, \\ u \ & = &\ 0, &\ x \in \partial B_1, \end{array}\right. \end{equation*} $\end{document}

where $ B_1 $ denotes the unit ball centered at the origin in $ \mathbb{R}^2 $ and $ g $ behaves like $ {\rm exp}(e^{s^4}) $ as $ s $ tends to infinity, the growth of the nonlinearity is motivated by a Trudinder-Moser inequality version, which admits double exponential growth. The proof involves a change of variable (a dual approach) combined with the mountain pass theorem.