bluuebunny/crossref_metadata_2025 huggingface dataset:
THE INFLUENCE OF HIGHER HARMONICS ON THE OPERATION OF ELECTRICAL EQUIPMENT IN RURAL DISTRIBUTION GRIDS
Authors:   Irkutsk State Agrarian University named after A.A. Yezhevsky, KUDRYASHEV GENNADIY , TRETYAKOV ALEKSANDR
Published: January 2023

The power supply systems of the agro-industrial complex are full with electrical equipment that requires a supply voltage corresponding to GOST for normal operation. Operating modes caused by the nonlinear load have a negative impact on the operation of power electrical equipment, relay protections, automation elements and switching devices. Additional power losses associated with higher current harmonics appear during operation of all types of electric motors and in electrical installations in conditions of non-sinusoidal voltage. The technical parameters of the operation of electrical equipment, as well as the quantitative and qualitative properties of the products largely depend on the quality of electrical energy in the electrical supply systems of enterprises of the agro-industrial sector. The correct use of methods and means of improving the quality of electric energy will allow us to calculate more accurately the economic damage from non-sinusoidal and asymmetric operating modes. These conditions should be taken into account when designing and operating power supply systems. The need to determine the damage arises during the development and adjustment of standard documents on the quality of electricity when justifying the limit values of the quality indicators. (Research purpose) The research purpose is studying the influence of higher harmonics on the operating modes of electrical equipment in rural distribution networks. (Materials and methods) The article presents the main sources of voltage distortion, calculations on power losses in distribution grids of agricultural consumers. (Results and discussion) The article presents the results of measuring the non-sinusoidal voltage in the distribution grids of agricultural enterprises. The coefficients of the harmonic components in the voltage harmonics spectrum is higher than it should be. (Conclusions) The losses associated with the low quality of the supply voltage caused by electromagnetic and technological components.
POSSIBILITIES OF USING THE COASTING MODE IN AN ELECTRIC VEHICLE
Authors:   Federal Scientific Agroengineering Center VIM, YUFEREV LEONID , GUSAROV VALENTIN , SPOROV ANTON
Published: January 2023

There is an active use of electric transport, including on farms, for performing technological processes, in premises for keeping animals and growing plants. There is a need to change the technical characteristics of such transport, in particular, saving the charge of the traction battery using the coasting mode. (Research purpose) The research purpose is studying the possibilities and problems of the coasting mode of a mobile agricultural vehicle. (Materials and methods) The main components of an electric vehicle are: chassis; traction battery; charger; electric drive, including multi-speed gearboxes. (Results and discussion) The article presents a circuit for connecting the drive to a frequency converter with a coasting mode and results of experimental studies. (Conclusions) In order to ensure the coasting mode of a mobile vehicle when the engine is disconnected from the frequency converter, it is necessary to control the frequency difference between the engine and the frequency converter, since a large difference can lead to significant overloads and failure of the frequency converter. Experimental studies of the dependence of starting currents on the frequency difference between the converter and the electric motor were carried out. The article presents the diagrams based on the experiments conducted using an 11 kilowatt motor, the current values will be 4 times greater, which will lead to an overload of the frequency converter. Without additional methods, such a mode is dangerous to use and is not recommended. A variant of reducing the starting currents is the installation of an additional inductance between the motor and the frequency converter, with justified inductance according to the equation, the starting current can be reduced to the permissible values.
Review - Larissa Aronin. An Advanced Guide to Multilingualism. Edinburgh: Edinburgh University Press, 2022. 256 p. ISBN: Paperback: 9780748635641. Hardback: 9780748635634. Ebook (ePub): 9781399501149. Ebook (PDF): 9780748635658.
Authors:   University of Helsinki, Finland, Protassova Ekaterina
Published: January 2023

With this textbook by Larissa Aronin, those who prepare a course on multilingualism do not need to search for other sources, because it is comprehensive, concise, and up to date. In the modern world, full of minorities, refugees and migrants, it should be a must-read for every schoolteacher and student. Being an overview of the latest fundamental issues in the field, the book contains multidisciplinary and hands-on resources. Yet, it is not only about multilingual people and their groups, but also about spaces and objects used by linguistically diverse communities. Everyone needs to be aware of challenges posed by multilinguals in education, translation as well as societal and family language policy. Indeed, the multiple languages and identities of children and old people, those in care and under investigation and trial reveal problematic attitudes. It can be easily used as a course book during a twelve-week semester.
Profil Gas Rumput Gajah Yang Diinkubasi Menggunakan Inokulum Feses Sapi Dan Feses Kerbau Sebagai Pengganti Cairan Rumen Menggunakan Metode In Vitro
Authors: Rizna Gebby , Afdal M , Darlis Darlis
Published: January 2023

Penelitiaan ini bertujuaan untuk mengetahui profil gas dari rumput gajah yang diinkubasi selama 96 jam dengan menggunakan inokulum feses sapi dan feses kerbau sebagai penganti cairan rumen dengan menggunakan metode in vitro. Penelitian ini menggunakan rancangan acak lengkap (3 x 6) dengan 3 perlakuan dan 6 kali ulangan, masing-masing perlakuan sebagai berikut P0 = cairan rumen (kontrol)  P1 = cairan feses sapi + molases (5%)  P2 = cairan feses kerbau + molases (5%). Data yang diperoleh dari setiap parameter yang diamati dianalisis menggunakan ragam (Anova). Bila terdapat pengaruh nyata maka dilanjutkan dengan Uji Jarak Duncan. Hasil penelitian menunjukkan bahwa penggunaan inokulum feses sapi dan feses kerbau sebagai penganti cairan rumen pada rumput gajah berbeda nyata (P<0,05) terhadap total produksi gas, potensi produksi gas (b) dan laju produksi gas (c). Kesimpulan dari penelitiaan ini yaitu penggunaaan inokulum feses kerbau mampu menyamai inokulum cairan rumen hal ini dapat dilihat dari tingginya total produksi gas dan laju produksi gas pada inokulum feses kerbau.
Redaktørens forord
Authors: Larsen Troels Schultz
Published: January 2023

Dette nummer af Dansk Sociologi, det første i 2021, kan siges at have byen og de udfordringer, den på forskellig vis stiller os overfor som samfund, som en overordnet tematik, samtidig med at der gives bud på, hvorledes aspekter af disse kan analyseres.
Viden og ikke-viden i omgangen med zoonoser – belyst med husdyr-MRSA som case
Authors: Knudsen Morten , Kishik Sharon
Published: January 2023

Covid-19-pandemien har tydeliggjort, at nye zoonoser indebærer usikkerheder og mangel på viden. Dermed bliver det relevant at undersøge, hvordan organisationer og andre aktører håndterer distinktionen mellem viden og ikke-viden. Sidstnævnte er denne artikels fokus. Inspireret af, hvad der er blevet kaldt agnotology (Proctor & Schiebinger 2008) og the sociology of ignorance (Gross & Mcgoey 2015; McGoey 2012, 2019), analyserer vi produktionen og fastholdelsen af ikke-viden relateret til spredningen af husdyr-MRSA i de danske svinebesætninger i årene fra 2010-2015, hvor forekomsten steg til et irreversibelt niveau. Vi bidrager til den sociologiske litteratur om uvidenhedens samfundsmæssige rolle og skabelse med et kommunikativt perspektiv på ikke-viden. Analysen viser, hvordan ikke-viden blev (re)produceret og fastholdt i kommunikation gennem dennes selektioner. Ydermere viser vi, hvordan disse kommunikative selektioner var filtret sammen med adskillige dynamikker, såsom et spil mellem viden og mål, diverse interessehensyn, bureaukratisk silotænkning og en selvbeskyttelse mod viden, som forpligtede til handling. Afslutningsvis diskuterer vi implikationerne af vores undersøgelse for fremtidige håndteringer af zoonoser.
Anmeldelser
Authors: Blok Anders , Qvist Hans-Peter Y.
Published: January 2023

Anmeldelser af følgende:
 
Pierre Charbonnier: Affluence and freedom: An environmental history of political ideas. Anmeldt af Anders Blok.
Frank van Tubergen: Introduction to Sociology. Anmeldt af Hans-Peter Y. Qvist.
Henning Bechs positivt, kritiske nydelsessociologi
Authors: Poder Poul , Wøldike Morten Emmerik
Published: January 2023

I dette essay præsenterer vi afdøde sociologiprofessor Henning Bechs værk og betydning med tre nedslag på hans samtidsdiagnostiske bidrag, hans særlige sociologisk-fænomenologiske analysemetode, samt hans positivt, kritiske tilgang som forsker. Det er en tilgang, der bidrager til samfundets kritiske selvrefleksion ved at udlægge mulighederne for, hvordan vi kan agere som oplyste borgere, som kan foretage informerede valg udi livsførelsens svære kunst i en senmoderne og værdipluralistisk tid præget af opbrud, digitalisering og nye sociale strømninger. Vores ærinde er ikke blot at mindes og hylde Bech, som vi begge har kendt som underviser, vejleder, kollega og ven. Vi ønsker også at fremlægge og drøfte, hvordan hans værk kan inspirere sociologers aktuelle og fremtidige arbejde.
Bibliometric review of research on corporate governance and firm value
Authors: Thamaree Arusaya , Zaby Simon
Published: January 2023

This study aims to provide a bibliometric review (Zupic & Čater, 2015; Hallinger, 2019) of the corporate governance and firm value knowledge base. This paper is guided by PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and based on the Scopus index for determining and extracting data. A total of 1,661 articles from 1983 to 2021 are included. The USA, the UK, and Australia are the leaders in the literature. A significant gap exists for further research from developing and non-Western settings. We identified authors with the highest citations (Danny Miller, Luc Renneboog, and Kose John), the most prominent authors based on the citation for each document (Danny Miller, Luc Renneboog, and Igor Filatotchev), and the most highly cited documents (“Higher market valuation of companies with a small board of directors”, Yermack, 1996; “Disentangling the incentive and entrenchment effects of large shareholdings”, Claessens et al., 2002, and “Boards: Does one size fit all?”, Coles et al., 2008). Besides, the review reveals an intellectual structure of the corporate governance and firm value knowledge base in three schools of thought: agency theory, firm value, and boards of directors. Our findings provide an overview of top-influential research for new scholars and enable us to identify highly cited theoretical foundations quickly.
Bronchiolitis Before and After the SARS-CoV2 Pandemic: Twelve Years of Experience in a Spanish Paediatric Hospital
Authors: Guerrero-del-Cueto Fuensanta , Fernandez J. M. Ramos , Leiva-Gea Isabel , Reina-Moreno Elena , Ortiz-Ortigosa Ana , Carazo-Gallego Begoña , Cordon Ana , Moreno-Pérez David , Núñez-Cuadros Esmeralda
Published: January 2023

Introduction: Acute bronchiolitis (AB) is the main cause
of hospitalization in children under two years of age, with a regular
seasonality, mostly due to the respiratory syncytial virus (RSV).

Objectives: To describe the epidemiology of
bronchiolitis hospitalizations in our centre in the last twelve years,
and analyse the changes in clinical characteristics, microbiology, and
adverse outcomes during the SARS-CoV2 pandemic.

Methods: Observational study including patients admitted
for bronchiolitis between April 2010 and December 2021 in a Spanish
tertiary paediatric hospital. Relevant demographic, clinical,
microbiological, and adverse outcome variables were collected in an
anonymized database. The pandemic period (April 2020 to December 2021)
was compared to 2010-2015 seasons using appropriate statistical tests.

Results: There were 2138 bronchiolitis admissions, with
a mean of 195.6 per year between 2010-2019 and a 2–4-month peak between
November and March. In the expected season of 2020, there was a 94.4%
reduction of bronchiolitis hospitalizations, with only eleven cases
admitted in the first year of the pandemic. Bronchiolitis cases
increased from the summer of 2021 during a six-month long peak, reaching
a total of 171 cases. Length of stay was significantly shorter during
the pandemic, but no differences were found in clinical and
microbiological characteristics or other adverse outcomes.

Conclusions: The SARS-CoV2 pandemic has modified the
seasonality of bronchiolitis hospitalizations, with a dramatic decrease
in cases during the expected season of 2020-2021, and an extemporaneous
summer-autumn peak in 2021 with longer duration but similar patient
characteristics and risk factors.
Necrotizing pneumonia due to Pseudomonas aeruginosa secondary to severe COVID-19 pneumonia
Authors: HIRAI JUN , MORI NOBUAKI , ASAI NOBUHIRO , MIKAMO HIROSHIGE
Published: January 2023

Necrotizing pneumonia (NP) is a severe form of lung disease with a high
mortality rate. Although NP generally occurs as a complication in
community-acquired pneumonia, our case illustrates that NP can occur as
a secondary infection even if the clinical course of COVID-19 pneumonia
is favorable, particularly in intubated patients.
Soil-dependent β and γ shape parameters of the Haverkamp infiltration model for 3D infiltration flow
Authors: YILMAZ Deniz , Lassabatère Laurent , Moret-Fernández David , Rahmati Mehdi , Angulo-Jaramillo Rafael , Latorre Borja
Published: January 2023

Estimating of soil sorptivity ( S ) and saturated hydraulic conductivity
( K s ) parameters by field infiltration tests are widespread due to the
ease of the experimental protocol and data treatment. The analytical
equation proposed by Haverkamp et al. (1994) allows the modeling of the
cumulative infiltration process, from which the hydraulic parameters can
be estimated. This model depends on both initial and final values of the
soil hydraulic conductivity, initial soil sorptivity, the volumetric
water content increase ( ∆ θ ), and two infiltration constants, the
so-called β and γ parameters. However, to reduce the number of unknown
variables when inverting experimental data, constant parameters such as
β and γ are usually prefixed to 0.6 and 0.75, respectively. In this
study, the values of these constants are investigated using numerical
infiltration curves for different soil types and initial soil water
contents for the van Genuchten-Mualem (vGM) soil hydraulic model. Our
approach considers the long-time expansions of the Haverkamp model, the
exact soil properties such as S , K s , and initial soil moisture to
derive the value of the β and γ parameters for each specific case. We
then generated numerically cumulative infiltration curves using Hydrus
3-D software and fitted the long-time expansions to derive the value of
the β and γ parameters. The results show that these parameters are
influenced by the initial soil water content and the soil type. However,
for initially dry soil conditions, some prefixed values can be proposed
instead of the currently used values. If an accurate estimate of S and K
s is the case, then for coarse-textured soils such as sand and loamy
sand, we propose the use of 0.9 for both constants. For the remaining
soils, the value of 0.75 can be retained for γ . For β constant, 0.75
and 1.5 values can be considered for, intermediate permeable soils
(sandy loam and loam) and low permeable soils (silty loam and silt),
respectively. We clarify that the results are based on using the vGM
model to describe the hydraulic functions of the soil and that the
results may differ, and the assumptions may change for other models.
Don’t let valuable microbiome data go to waste: combined usage of merging and direct-joining of sequencing reads for low quality amplicon data
Authors: Ramakodi Meganathan
Published: January 2023

The pernicious nature of low quality sequencing data warrants
improvement in the bioinformatics workflow for profiling microbial
diversity. The conventional merging approach, which drops a copious
amount of sequencing reads when processing low quality amplicon data,
requires alternative methods. In this study, a computational workflow, a
combination of merging and direct-joining where the paired-end reads
lacking overlaps are concatenated and pooled with the merged sequences,
is proposed to handle the low quality amplicon data in microbial ecology
research. The proposed computational strategy was compared with two
workflows; the merging approach where the paired-end reads were merged,
and the direct-joining approach where the reads were concatenated. The
results showed that the merging approach generates a significantly low
number of amplicon sequences, limits the microbiome inference and
obscures some microbial associations. In comparison to other workflows,
the combination of merging and direct-joining strategy reduces the loss
of amplicon data, improves the taxonomy classification and importantly,
abates the misleading results associated with the merging approach when
analysing the low quality amplicon data. The mock community analysis
also supports the findings. Thus, the researchers are suggested to
analyse merged sequences along with directly-joined unmerged reads to
avoid problems associated with low quality data while profiling the
microbial community structure.
Identifying and mapping the spatial factors that control soil erosion changes in the Yellow River Basin of China Running title：Identifying the spatial factors that control soil erosion changes
Authors: Guo Jinwei , Li Zhigang , Li Yuanyuan , Shen Yanyan , Tang Yuanyuan , Yang Xiangyun , Qi Yanbing , Wang Mingzhu
Published: January 2023

Soil erosion is a serious environmental degradation controlled by
several natural and anthropogenic factors. The Yellow River Basin (YRB)
has been considered one of the most serious soil erosion regions in the
world. In the past decades, revegetation projects accompanying apparent
climate changes in the YRB region have aroused great uncertainty
regarding soil erosion. Therefore, identifying and mapping the spatial
controlling factors would be of great help in adopting targeting
strategies for soil erosion prevention. The spatial-temporal changes of
soil erosion from 1985 to 2018 in the YRB region were estimated by using
the RUSLE model and its spatial controlling factors were identified and
mapped by using the Mann-Kendall test and Sen’s test. The results
indicated that the slight erosion intensity accounted for 68.25% to
70.17% of the entire basin from 1985 to 2018, and the average erosion
modulus of the entire YRB region was 2009.81 t∙km
∙yr . The erosion modulus in the
middle reach (3245. 56 t∙km ∙yr
) was significantly greater than in the lower (1084.
56 t∙km ∙yr ) and upper (1135.
90 t∙km ∙yr ) reaches.
Vegetation coverage, rainfall, and land-use changes accounted for
42.07%, 52.23%, and 1.77%, respectively, of the soil erosion change
areas. Specifically, 40.19% of the vegetation coverage increase area
was responsible for the decrease in soil erosion that was located mainly
in the middle and upper reaches, while 42.30% of the rainfall increase
area contributed to the increase in soil erosion that was located mainly
in the upper and lower reaches.
Research on the strategy of locating abnormal data in IOT management platform based on improved modified particle swarm optimization convolutional neural network algorithm
Authors: Liu Yuan , Li Qiang , Cai Di , Lu Weizhi
Published: January 2023

The IOT management platform is used to handle and transmit data from
many types of power system terminal devices. The current IOT management
platform has a low data processing efficiency and a high mistake rate
when it comes to finding anomalous data. Furthermore, the effective
selection and optimum decision of the convolutional neural network’s
structural parameters has a significant impact on prediction
performance. Based on this, the paper proposes a decision algorithm for
locating anomalous data in an IOT integrated management platform using a
convolutional neural network (CNN) and a global optimization decision of
key structural parameters of a convolutional neural network using an
improved particle swarm optimization (APSO) algorithm. First, an index
model is created to determine if the data retrieved from the IOT
management platform is anomalous or not. Second, the structure of the
convolutional neural network-based decision method for finding anomalous
data is examined. Following that, an enhanced particle swarm
optimization technique is developed to optimize the structural
parameters of the convolutional neural network, and an APSO-CNN with
improved performance for anomalous data localization is generated.
Finally, the established algorithm’s correctness, feasibility, and
efficacy were evaluated using the Adam optimizer. The results reveal
that the established APSO-CNN-based decision algorithm for anomaly data
localization offers considerable benefits in terms of accuracy and
running time, with extremely interesting application potential.
Our Most Vulnerable Service Users: The Psychosocial Characteristics of Young People Accessing Youth Services in Australia
Authors: Hall Kate , Bos Jason , Graeme Liam , Youssef George J. , Milne Bronwyn , Dunlop Adrian , Sloan Elise
Published: January 2023

Objective: The present study aimed to characterise the
intersecting sociodemographic, psychiatric and substance use needs of
young people seeking treatment across multiple primary mental health,
justice and alcohol and drug services within Australia.
Methods: Data from four separate studies (N = 867) that
investigated social and emotional wellbeing in young people aged
16-25-years-old were used in the present study (three studies recruited
service users; one study recruited community participants)
Results: The sociodemographic characteristics of service users
differed substantially to the community sample. Service users identified
as non-binary, LGBTIQ+ and Aboriginal and/or Torres Strait Islander at
substantially greater proportions compared to the community sample.
Family violence, involvement in criminal justice, homelessness and child
protection services was considerably more common among service users
than in the community sample and nearly one-third of service users were
disengaged from opportunities for learning and vocational attainment.
With respect to psychiatric characteristics, the majority of service
users had been diagnosed with two or more psychiatric disorders and,
almost two- thirds reported engagement in non-suicidal self- injury
across their lifetime. Service users engaged in lower rates of lifetime
and harmful alcohol use compared to the community sample; however, they
reported significantly higher rates of lifetime and harmful drug use
with more than one-third of service users engaged in poly-substance use.
Conclusion: The comprehensive examination of the
sociodemographic, psychiatric and substance use characteristics of young
service users in the present study highlights the intersection of early
childhood adversity, adolescent mental ill-health, polysubstance use and
psychosocial vulnerabilities across multiple determinants of social and
emotional wellbeing. The cohort were indeed representative of some of
the most vulnerable in our society. The need for developmentally
informed, inter-sectoral systems of care that address the intersecting
vulnerabilities of these young Australian service users are discussed
Crosslinked Polymers Based on Monomers Derived from Renewable Resources and Their Application Potential
Authors: Strehmel Veronika , Strehmel Bernd
Published: January 2023

Possible structural variation of a bio-based dimethacrylate derived from
oleic acid and ethylene glycol is discussed as well as sources to obtain
the starting material for manufacturing of this monomer. Furthermore,
aspects influencing the transfer of a newly developed product or further
scientific result to application are included into the discussion as
well focusing to manufacturing processes and development of a new
product for the market.
A Three-Stage Fuzzy Neutrosophic Sets-Based Methodology for Training Assignment
Authors: Yiğit Fatih
Published: January 2023

Proper and effective employee training is vital for a company’s success.
Training of employees would increase a company’s performance when
assigned to the right people. This study proposes an integrated model to
evaluate employees and choose the right candidate for the training
program. Additionally, the clustering stage gives essential information
regarding the number of people assigned. The flexibility of the proposed
methodology is also essential when there is a constraint limiting the
number of assignments. The objective of the proposed study is to suggest
an expert system for the human resources department of a company. The
proposed model has three stages, namely Delphi, INV-AHP, and FCM. The
input of the model are expert opinions about possible criteria, values
of each candidate’s assessment, and bi-comparison of agreed criteria.
Outputs are weights, members of each cluster representing possible
candidates. To the best of our research integrated approach of the
methods are first in the literature. MCDM approach in training
assignment is also new in literature. The proposed Multi-Criteria
Decision Making (MCDM) approach focuses on deciding the correct number
and right employees for training assignments. The proposed model also
allows the integration of constraints such as the number of people
assigned. The model can define the possible number of people to be
assigned when needed, such as budgeting requirements. The application is
performed in a real business. The feedback received from the
decision-makers showed that the proposed method would apply to
additional areas, such as recruitment and promotion.
The role of brain oscillations in feature integration
Authors: Cobos Maria , Melcón María , San-Esteban Pablo Rodríguez , Capilla Almudena , Chica Ana
Published: January 2023

Our sensory system is able to build a unified perception of the world,
which although rich, is limited and inaccurate. Sometimes, features from
different objects are erroneously combined. At the neural level, the
role of the parietal cortex in feature integration is well-known
(Humphreys, 2016; Shafritz et al., 2002). However, the brain dynamics
underlying correct and incorrect feature integration are less clear. To
explore the temporal dynamics of feature integration, we studied the
modulation of different frequency bands in trials in which feature
integration was correct or incorrect. Participants responded to the
color of a shape target, surrounded by distractors. A calibration
procedure ensured that accuracy was around 70% in each participant. To
explore the role of expectancy in feature integration, we introduced an
unexpected feature to the target in the last blocks of trials. Results
demonstrated the contribution of several frequency bands to feature
integration both pre- and post-stimulus. During the pre-stimulus period,
alpha power was higher for illusions compared to hits. After stimulus
onset, alpha, beta, and gamma-band power was reduced for hits compared
to illusions. Moreover, gamma power was overall larger during the
experiment for participants who were aware of the unexpected target
presented during the last blocks of trials (as compared to unaware
participants). These results demonstrate that feature integration is a
complex process that can go wrong at different stages of information
processing and is influenced by top-down expectancies.
Mechanism of blood brain barrier damage in the pathogenesis of cerebral small vessel disease
Authors: Liu Ru , li luming , zhang Shun , 何 明利
Published: January 2023

Cerebral small vessel disease(CSVD) is the most common cause of vascular
cognitive impairment, affecting all levels of the cerebral vascular
system. It mainly affects the structure and function of arterioles and
capillaries, resulting in the decrease of cerebral perfusion. Due to the
aging of the population, the incidence of CSVD is increasing, but the
root cause of CSVD is not completely clear. Magnetic resonance imaging
confirmed that the destruction of blood-brain barrier (BBB) is an
important feature of CSVD. In physiological state, the main function of
BBB is to establish a controlled environment to maintain relatively
constant levels of hormones and nutrients in the brain. At the same
time, BBB can also block or defend against the invasion of brain toxins
or pathogens that may be caused by circulation, so BBB is an important
anatomical and biochemical barrier of the central nervous system. This
review focuses on the main role and potential mechanism of tight
junction (TJ) of BBB in cerebral microvascular disease.
Distributed mean-square consensus of heterogeneous multi-agent systems with packet losses
Authors: Zhang Liping , Wang Wei , Zhang Huanshui
Published: January 2023

This paper studies the mean-square consensus problem of discrete-time
multi-agent systems, where the state information is received with
different uncertainty of dropout which leads to the heterogeneous
observation. Different from previous consensus studies without
considering measurement packet dropout, the main difficulties
encountered in this paper are the controller design for each agent with
different dynamics and the state estimator design of stochastic systems
with multiplicative noises. First of all, the optimal estimator is
designed based on the measurement to estimate the agent’s state
information, and a distributed dynamic output feedback control protocol
is presented based on the obtained estimator. Secondly, applying the
distributed feedforward control method and constructing the stochastic
Lyapunov-Krasovskii functional, the sufficient solvability conditions
for heterogeneous multi-agent systems achieving mean-square consensus is
derived for the first time. Moreover, the stability of the error
covariance matrices related with the optimal estimator is studied.
Finally, a numerical example is provided to illustrate the effectiveness
of the proposed algorithm.
Effect of wall material thermal conductivity on the butane flame stability of microscale gas fired burners
Authors: Chen Junjie
Published: January 2023

The effect of wall material thermal conductivity on butane flame
stability is investigated for microscale gas fired burners. The present
study aims to provide a fundamental understanding of the butane flame
stability of microscale gas fired burners at different wall material
thermal conductivities. Particular emphasis is placed upon the stability
limits over a range of equivalence ratios and the effect of wall
material thermal conductivity on the butane flame stability. The results
indicate that the wall material thermal conductivity is vital in
determining the butane flame stability of the gas fired burners, as the
walls are responsible for the majority of the upstream heat transfer as
well as the external heat losses. The most effective way of increasing
the lean stability limits of the burner is an increase in primary stream
inlet temperature. Completing the combustion process near homogeneous
stoichiometric conditions, by intensifying the mixing process, may
increase nitrogen oxides emissions. To ensure that the combustion
process of the furnace is not adversely affected by the presence of the
device, the device should not adversely interfere with the flow of
products of combustion away from the combustion zone for each burner.
Low wall thermal conductivities result in large axial wall-temperature
gradients and high maximum temperatures. High wall thermal conductivity
leads to uniform temperature profiles without hotspots. Low wall thermal
conductivities cause the flame to shift downstream. Increasing wall
thermal conductivity has little effect on flame location unless there
are significant external heat losses. Typical ceramics allow maximum
external heat loss coefficients. Materials with lower wall thermal
conductivities limit the upstream heat transfer. Materials with higher
wall thermal conductivities result in enhanced heat transfer to the
surroundings. The inlet flow velocity plays a competing role in flame
stability. There is only a relatively narrow envelope of flow rates
within which combustion can be stabilized. The maximum fluid temperature
exceeds the adiabatic flame temperature of butane-air mixture computed
for room temperature.

Keywords: Burners; Combustion; Emissions; Extinction; Flames;
Stability
Writing-reading accomplishments onto underlying gaps and bonds as prone to communication skills follow-up
Authors: Olmos Jonathan , García Andres
Published: January 2023

This study aimed to look into the impact of educational practices on the
reading and writing skills of learners, with a specific focus on the
gaps and bonds in EFL learning while communication skills carried
follow-ups. The study employed a mixed methodology, which embraced
communication contexts placed in the teaching process, and
self-perceptions of the participants in a multidimensional communication
axis to collect data via surveys, observational forms and exploratory
statistics. The results indicate that while there is a stable level of
variation in terms of reading and writing achievement, there are
setbacks in certain areas such as fill-in-the-blank questions in complex
activities and sentence rewriting tasks. Additionally, the study found
that providing students with picture clues can improve their
performance. The study also suggests that blending both reading and
writing skills in activities can lead to large linkages and improvements
in performance.
Genome-wide association analysis for emergence of deeply sown rice (Oryza sativa) reveals novel aus-specific phytohormone candidate genes that conferred adaption to dry-direct seeding in the field.
Authors: Sakhale Sandeep , Yadav Shailesh , Clark Lindsay , Lipka Alexander , Kumar Arvind , Sacks Erik
Published: January 2023

Dry direct-seeded rice (dry-DSR) is typically sown deeply to circumvent
the need for irrigation, and thus seedling emergence is a crucial trait
affecting plant stand and yield. To breed elite cultivars that use less
water and are climate-resilient, understanding the genomic regions and
underlying genes that confer emergence for deeply sown dry-DSR would be
highly advantageous. A combined diversity panel of 470 rice accessions
(RDP1 plus aus subset of 3K RGP) was evaluated with 2.9 million single
nucleotide polymorphisms (SNPs) to identify associations with dry-DSR
traits in the field and component traits in a controlled-environment
experiment. Using genome-wide association study (GWAS) analyses, we
identified 18 unique QTLs on chromosomes 1, 2, 4, 5, 6, 7, 9, 10, and
11, explaining phenotypic variance ranging from 2.6 to 17.8%. Three
QTLs, namely, qSOE-1.1, qEMERG-AUS-1.2, and
qEMERG-AUS-7.1, were co-located with previously reported QTLs for
mesocotyl length. Among the identified QTLs, half were associated with
the emergence in aus, and six were unique to the aus genetic group.
Based on functional annotation, we identified eleven compelling
candidate genes, which primarily regulated phytohormone pathways such as
cytokinin, auxin, gibberellic acid, and jasmonic acid. Prior studies
indicated that these phytohormones play a critical role in mesocotyl
length under deep-sowing. This study provides new insight into the
importance of aus and indica as desirable genetic resources to mine
favorable alleles for deep-sowing tolerance in rice. The candidate genes
and marker-tagged desirable alleles identified in this study should
benefit rice breeding programs directly.
Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non-additive variation for key traits
Authors: Chen Chensong , Powell Owen , Dinglasan Eric , Ross Elizabeth , Yadav Seema , Wei Xianming , Atkin Felicity , Deomano Emily , Hayes Ben
Published: January 2023

Sugarcane has a complex, highly polyploid genome with multi-species
ancestry. Additive models for genomic prediction of clonal performance
might not capture interactions between genes and alleles from different
ploidies and ancestral species. As such genomic prediction in sugarcane
presents an interesting case for machine learning methods, which are
purportedly able to deal with high levels of complexity in prediction.
Here we investigate deep learning networks (DL), including Multilayer
networks (MLP) and convolution neural networks (CNN), and Random Forest
(RF) for genomic prediction in sugarcane. The data set was 2912
sugarcane clones, scored for 26,086 genome wide SNP markers, with final
assessment trial (FAT) data for total cane harvested (TCH), Commercial
cane sugar (CCS) and Fibre content. The clones in the latest trial
(2017) were used as a validation set. We compared performances of these
methods to GBLUP extended to include dominance and epistatic effects.
The prediction accuracies from GBLUPs were 0.37 for TCH, 0.37 for CCS
and 0.48 for Fibre, while the DL models had accuracies of 0.33 for TCH
prediction, 0.38 for CCS prediction and 0.43 for Fibre. Optimised RF
achieved a prediction accuracy of 0.35 for TCH, 0.38 for CCS and 0.48
for Fibre. Both DL and RF predictions were more accurate additive GBLUP
but generally lower than extended GBLUP. Finally, we identified a
partially shared distribution of SNP selections between RF and GBLUP
models. We conclude RF may have some utility for genomic prediction for
crops with highly complex genomes, particularly if non-additive
interactions can be captured with clonal propagation.
Geographical and component analysis of the perception of the tourism and recreational space of the perm region
Authors: Safarian Azat , Konyshev Evgeny
Published: January 2023

The relevance of this study lies the reassessment of the role that an
information plays in the functioning and perception of tourism and
recreational space. Tourism and recreational space perceive as global but it
has a complex structure, represented in the form of territorial tourism and
recreational systems. In a post-industrial society the importance of
information for the development of tourism and recreational space is
constantly increasing. Oftentimes tourists base on other tourist's
information and reviews posted on the Internet, recorded in the form of
digital footprints on specialized portals to make a decision to travel. The
consumer perceives the tourism and recreational space of the region as a set
of reviews and ratings the content of which may be different from the actual
parameters of the space. These feedbacks last as a basis for the
expectations and impressions formation. The purpose of this study is a
component and geographical analysis of the perception of the tourism and
recreational space of the Perm region using the method of text analysis of
big data. The textual analysis of 5,668 reviews that have posted on the
Tripadvisor website was carried out on the PolyAnalyst platform and included
the calculation of the sentiment index, the extraction of keywords and the
determination of the relationship of terms to define the key attributes of
the tourist and recreational space perception. The component analysis of the
Perm region's tourism and recreational space perception showed the uneven
perception of its individual components and made it possible to identify the
most topical problem areas. The assessment of the perception of tourist and
recreational space by consumers from different places of residence, as well
as the assessment of the territorial features of the perception of
individual cities of the Perm region, was carried out using geographical
analysis. Additionally, the sentiment index change from 2014 to 2021 was
assessed. An analysis of this change made it possible to identify the
incipient negative trends at the deterioration of the region's tourism and
recreational space perception. The results of the study will be useful for
the development of strategic documents on territorial planning and tourism
management, improvement of regional tourism products and the image of the
region.
Assessing urban vulnerability to landslides using the Analytic Hierarchy Process (AHP): Case study of the municipal head of Djebahia in Algeria
Authors: Dilmi Naima , Boutabba Hynda
Published: January 2023

Djebahia is an average city in the Algerian centre, reported to have many
risks related to landslides, with very important indices of instabilities.
The recurrence of damaging events in this locality has shown the fragility
of its urban system. The main objective of this article is to analyse the
urban vulnerability in Djebahia municipality by determining the physical
condition of its urban structure. The procedures for the analysis of factors
at the origin of the risk in this city are mainly derived from the spatial
analysis program, represented by the geographic information system software
(ARCMAP), which contains a set of tools facilitating the process analysis.
The present research was based on the analytic hierarchy process (AHP) of
Thomas Laurie Saaty (1990), which belongs to a series of multi-criteria
approaches. The analysis showed three levels of urban vulnerability: high,
medium, and low, while the elements most affected by landslides are
equipment, collective, and individual housing. These results were translated
into a map of urban vulnerability to landslide risk.
Cultural peculiarities and housing production in Algeria. Djelfa area condition
Authors: Abderrahmane Atmani , Khalfallah Boudjamea , Sebei Abid
Published: January 2023

The current residential production in Algeria is diverse, but is relatively
similar in terms of design. The similarity in design has become inevitable,
due to the scarcity of realestate, the increasing demand for housing, and
the rise of the urban population. Because of the aforementioned reasons, we
notice that the peculiarities of the local communities that structure the
Algerian societies are not taken into account. The urban design of the local
communities (Kabyle, Mzabi, Shawi, Targui...) show evident similarities
overall; however, some details are imposed by the local culture of each
community. Those details are absent in contemporary residential production.
Through this study, we aim to identify a number of cultural peculiarities of
the local Naily community in the region of Djelfa, the ways these
peculiarities reflect on the local traditional construction, and the set of
mechanisms for inclusion in contemporary housing production. The study is
divided in two parts: a theoretical part, in which we highlighted the
interrelationship between cultural peculiarities, urbanism and the local
community, and an applied part in which we employed the Delphi technique and
chose the region of Djelfa as a case study. The results show the following:
43 answers through the application of Delphi Method by experts distributed
on the three questions asked which in general provided important pieces of
information, through which we were able to access the set of cultural
peculiarities of the local community in the region of Djelfa, the reflection
of these peculiarities on the local construction and how to include some
solutions to address the current residential production in a way that
protects the cultural peculiarities of the Naily community in the region of
Djelfa.
Diversifying the chloroquinoline scaffold against SARS-COV-2 main protease: Virtual screening approach using cross-docking, sitemap analysis and molecular dynamics simulation
Authors: Aissaoui Mohamed , Belhani Billel , Boulebnane Abdelmoumen , Bouzina Abdeslem , Djilani Salah
Published: January 2023

The absence of designated remedies for coronavirus disease 19 (Covid-19) and the lack of treatment protocols drove scientists to propose new small molecules and to attempt to repurpose existing drugs against various targets of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in order to bring forward efficient solutions. The main protease (Mpro) is one of the most promising drug targets due to its crucial role in fighting viral replication. Several antiviral drugs have been used in an attempt to overcome the pandemic, such as hydroxychloroquine (HCQ). Despite its perceived positive outcomes in the beginning of the disease, HCQ was associated with several drawbacks, such as insolubility, toxicity, and cardiac adverse effects. Therefore, in the present study, a structure-based virtual screening approach was performed to identify structurally modified ligands of the chloroquinoline (CQ) scaffold with good solubility, absorption, and permeation aimed at eventually suggesting a more dependable alternative. PDB ID:7BRP Mpro was chosen as the most reliable receptor after cross-docking calculation using 30 crystal structures. Then, a SiteMap analysis was performed and a total of 231,456 structurally modified compounds of the CQ scaffold were suggested. After Lipinski criteria filtration, 64,312 molecules were docked and their MM-GBSA free binding energy were calculated. Next, ADME descriptors were calculated, and 12 molecules with ADME properties better than that of HCQ were identified. The resulting molecules were subjected to molecular dynamics (MD) simulation for 100 ns. The results of the study indicate that 3 molecules (CQ_22; CQ_2 and CQ_5) show better interactions and stability with the Mpro receptor. Binding interaction analysis indicates that GLU143, THR26, and HIS41 amino acids are potential binding hot-spot residues for the remaining 3 ligands.
Bienestar psicológico en estudiantes universitarios de nuevo ingreso
Authors: Vences Camacho Karen Aurora , Márquez Gómez Josué Ociel , Cardoso Jiménez Daniel
Published: January 2023

Un nivel alto de bienestar psicológico impacta en la disminución del estrés, la ansiedad y la depresión y, por ende, en el aprendizaje e indicadores académicos (Seligman, 2011). El objetivo de esta investigación fue analizar el bienestar psicológico de estudiantes de primer año de las licenciaturas de Administración y Psicología campus Tejupilco de la Universidad Autónoma del Estado de México en el período 2020A. La población estudiada fue de 174 estudiantes de ambos sexos con edades que oscilaban entre los 17 a 19 años. La clasificación del bienestar psicológico se basó en la escala de Ryff (1989), adaptada por Díaz et al. (2006), cuya confiabilidad es de 0.741. La información se procesó con un software para las ciencias sociales; se elaboró la base de datos para calcular una estadística descriptiva de valores mínimos, máximos, percentiles y puntos de corte; posteriormente, se obtuvieron los valores recodificados de nivel bajo, moderado y alto, y finalmente se calcularon frecuencias y porcentajes del bienestar psicológico. En cuanto a la autoaceptación, relaciones positivas con los demás, autonomía, dominio del entorno y propósito de vida, 35.4 % de estudiantes se ubicaron en promedio en nivel bajo y 64.6 % moderado-alto. Referente al crecimiento personal, 43 % mostraron un nivel bajo y 57 % uno moderado-alto. Los estudiantes de primer año de las licenciaturas de Administración y Psicología presentan, en general, un nivel bajo de bienestar psicológico, por lo que fue necesario dar atención a través de la tutoría académica, con conferencias, cursos y talleres para mejorar esta situación y por ende impactar favorablemente en los indicadores académicos de reprobación, rezago, deserción y retención durante el primer semestre.