bluuebunny/crossref_metadata_2025 huggingface dataset:
Yoga Posture Recognition Through Computer Vision and Deep Learning
Authors: Tiwari Naincy , Bansal Aman , Shukla Akash , Pandey Pooja
Published: April 2024

Abstract: India is the place where yoga's science and discipline originated 5,000 years ago. The development of it in ancient India occurred through the Indus-Sarasvati civilization. The Indian subcontinent is where this ancient practice originates,and it has been cherished for its multifaceted benefits that encompass physical, mental, and spiritual. Through asana, meditation, and other breathing techniques, harmony is brought to both body and mind. It also brings peace to the mind. The rise in stress in today's modern lifestyle has led to a global growth in the popularity of yoga. The goal of yoga is to mechanically align the body with effort on the muscles, ligaments, and joints to achieve optimal posture. If the asanas are not performed properly, strain in the joints, ligaments, and backbone can occur, which can have an impact on the hip joints. Therefore, it is vital to maintain correct yoga postures while performing various asanas. The availability of yoga posture prediction and automatic movement analysis is now possible due to the development of computer vision algorithms and sensors. In this work, a framework for recognizing a yoga posture from an image has been built using deep learning techniques such as convolutional neural networks (CNN) and machine learning (ML). The CNN layer is used to extract characteristics from the keypoints, and it is succeeded by a large short-term recollection that recognizes the sequence in which a set of frames occurs in order to make predictions. The stances are then categorized as either correct or inappropriate. The system will provide the user with feedback and display the correctness of posture if the right attitude is detected. This review paper synthesizes the current state-of-the-art in the field of yogic intelligence, focusing on the application of computer vision and deep learning techniques for recognizing yoga postures
Evaluation of Cross-Platform Technology Flutter Using Different System Environments
Authors: Akarte Prof. S. P.
Published: April 2024

Abstract: The aim of the following thesis was to evaluate the cross-platform technology Flutter based on a user perspective. The key aspects investigated were user-perceived performance such as startup time and application size. Additionally, the userperception was also a key feature investigated. To evaluate the cross-platform technology Flutter, one social media applications was developed.
THE Formulation and Characterization of Transdermal Patch of Candesartan Celexitil
Authors: Hira Shabnam
Published: April 2024

The aim of the present study is to formulate and characterized the transdermal patch of Candesartan celexitil. The objective is study was to increase the bioavailability of drug. In the present study, transdermal patch of Candesartan celexitil were prepared by solvent casting technique employing HPMC cps 50 polymer and glycerin as plasticizer using mercury as substrate. Total thirteen formulation (F1-F13) were prepared having drug and polymer ratio (1:2, 1:4, 1:6, 1:8, and 1:10). From the selected batch F2 containing drug polymer ratio (1:4), four formulations each were prepared and evaluated containg drug urea (1-4%) and oleic acid (1-4%) as permeation enhancer. The prepared transdermal patches were evaluated on the basis of different parameters like weigh, thickness, folding endurance, percent moisture absorption, percent moisture loss, drug content uniformity, in vitro skin permeation study. The fabricated final transdermal patches were further subjected to in vitro permeation study. In order to confirm the exact mechanism of drug release from all the patches, the data were computed and graphed according to Korsmeyer equation. Diffusion exponent of release process controlled by Super case Ⅱ transport Non- Fickian diffusion, n values of Korsmeyer- Peppas model shows a combination of diffusion and dissolution mechanism indicating the drug release from the formulation was controlled by more than one process. It was concluded that the prepared formulation F13 (4% w/v of oleic acid) showed highest cumulative percent drug release and increase the bioavailability of the drug.
UM MODELO DE IDENTIFICAÇÃO DE PERFIS DE DECISÃO COM BASE EM DESEMPENHO OBSERVADO
Authors: Martins Dias Junior Claudelino , Fiori Karoline
Published: April 2024

Objetivo: Propor um modelo de identificação de perfis de decisão por meio de níveis de desempenho observáveis.
Método/abordagem: O estudo tem uma abordagem quanti-qualitativa (ou por métodos mistos) na concepção de um modelo para identificar perfis decisão. A pesquisa é descritiva e o método indutivo, porquanto se vale de resultados produzidos em contextos de atuação gerencial que amparam a definição de perfis de decisão.
Principais Resultados: Identificação de perfis decisórios, tendo como premissas a clusterização com base no desempenho observado de empresas industriais e na análise qualitativa de dados operacionais produzidos por gerentes financeiros.
Contribuições teóricas/práticas/sociais: Potencial aplicação dos pressupostos do modelo no processo de qualificação de decisões gerenciais. Para fins do modelo proposto, com as análises das decisões gerenciais tem-se a identificação de perfis de decisão de gestores financeiros, considerando que esses perfis condicionam o alcance de resultados organizacionais previamente pretendidos. 
Originalidade/relevância: Centra-se na concepção de ferramental metodológico (um modelo) de medida do desempenho de empresas industriais e de um instrumento de qualificação do processo decisório.
Report of the Secretary-General of the Commonwealth of Independent States Sergey Lebedev on the topic: "On the Chairmanship of the Russian Federation in the Commonwealth of Independent States in 2024"
Authors: Lebedev S. N.
Published: April 2024

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On the Path to the Formation of a New World Economic Order
Authors: Glazyev S. Yu.
Published: April 2024

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A canção e a construção do inédito viável: alternativas para o trabalho com a linguagem na escola
Authors: Fraga Camila Farias , Baltar Marcos Antonio Rocha
Published: April 2024

Entendendo a escola como um espaço propício para debater questões sociais e pensar alternativas para o que deve ser mudado socialmente, neste artigo é apresentada uma proposta de prática educativa com práticas de linguagem envolvendo as canções Homem na estrada e Vilarejo. Como referencial teórico, apoia-se em Paulo Freire para discutir acerca de inédito viável, situações-limite e prática educativa, e em Bakhtin para discorrer sobre gêneros do discurso. Os autores baseiam-se na Base Nacional Comum Curricular para posicionar a proposta no que o documento prevê para o ensino de Língua Portuguesa no Ensino Médio. Para análise das canções, utilizou-se o Tetragrama de análise multissemiótica da canção proposto pelo Grupo de Estudos da Canção. As atividades e problematizações apresentadas são caminhos possíveis para balizar a prática educativa com o gênero canção integrando as práticas de linguagem: leitura/escuta, produção de textos (orais e escritos), oralidade e análise linguística/semiótica.
Práticas pedagógicas integradas: um confronto entre docentes licenciados e docentes bacharéis
Authors: Melo Sthéfany Araújo , Marques Welisson , França Robson Luiz de
Published: April 2024

Tomando como marco inicial para o Ensino Médio Integrado (EMI) o Decreto nº 5.154, de 23 de julho de 2004, acreditamos que 15 anos não foram suficientes para que as instituições que compõem a Rede Federal de Educação Profissional, Científica e Tecnológica (RFEPCT) se tornassem profundas conhecedoras em relação às práticas pedagógicas que corporificam a integração de ensino. Em vista disso, este artigo é resultado de uma pesquisa que objetivou investigar, por meio de entrevistas individuais com 16 docentes efetivos do IFTM Campus Uberlândia, o conceito de EMI, colocando em confronto as compreensões de docentes bacharéis e de docentes licenciados. Para isso, focamos em analisar quais são as práticas pedagógicas utilizadas por eles, em sala de aula, que favoreçam a efetivação do EMI, e possíveis dificuldades encontradas nesse processo. A base teórica deste artigo se apoiou em Maldaner (2017), Moura (2008) e Sena e Souza (2023). As entrevistas foram realizadas no mês de novembro de 2018, dentro dos limites físicos do próprio campus. A escolha dos 16 docentes entrevistados aconteceu por conveniência e pela análise de seus currículos cadastrados na Plataforma Lattes, a fim de selecionar primeiramente aqueles que apresentassem formação acadêmica apenas em licenciatura ou apenas em bacharelado. Como destaque dentre os resultados da pesquisa, identificamos que quase todos os docentes demandam a socialização de experiências exitosas, o estímulo por meio de convites à participação de atividades em conjunto, assim como a disposição dos docentes a participarem da reformulação de diretrizes institucionais, a fim de criar uma infraestrutura burocrática mais amigável à implementação da integração de ensino.
Ponderações sobre questões de gênero e sexualidade em propagandas televisivas no contexto escolar
Authors: Miranda Joseval dos Reis , Gomes Paula Cristina
Published: April 2024

O objetivo do presente trabalho é compreender o ponto de vista dos/das alunos/as do 9º ano do Ensino Fundamental sobre questões de gênero e sexualidade apresentadas em propagandas televisivas. A metodologia seguiu a abordagem qualitativa, baseada em trabalho de campo colaborativo intervencionista. Os instrumentos de geração de dados foram: observação participante, roda de conversa, oficina temática e questionários. No total, 25 estudantes de uma escola pública, da cidade de Areia-PB, participaram do estudo, sendo 12 estudantes do sexo feminino e 13 do sexo masculino. Resultados mostraram que os/as discentes reproduziram estereótipos cristalizados, em relação às questões de gênero e sexualidade; o trabalho colaborativo permitiu aos/as alunos/as enxergarem, de forma crítica, as relações entre masculino e o feminino, apresentadas em propagandas televisivas.
As cotas raciais nos programas de pós-graduação da Universidade Federal de Sergipe executados em rede
Authors: Anjos Lídia Carla Araújo dos , Lopes Edineia Tavares , Bomfim Sandra Morais de Jesus
Published: April 2024

Este artigo apresenta resultados de pesquisa qualitativa sobre os programas de pós-graduação da UFS realizados sem cumprimento da Resolução n. 59/2017 CONEPE, que trata das vagas para candidatos/as negros/as. Foram pesquisados editais abertos à comunidade de 2018 a 2022, buscados no site da UFS. O aporte teórico se ampara em autores decoloniais que debatem o racismo e a educação libertadora, como Hooks (2017), Freire (2003), Gomes (2017) e Almeida (2020).  Concluiu-se que dos 10 (dez) programas executados em rede, apenas 3 (três) reservaram vagas para negros/as. Os editais exclusivos da UFS respeitam a legislação, ao menos formalmente, sendo necessário investigar se fazem a reserva nas seleções internas e se os/as candidatos/as negros/as aprovados têm realizado matrícula e concluído os cursos.
Multi-parameter fusion diagnosis for medium and lower voltage switchgear cabinet based on UHF and Infrared Camera Method
Authors: Li Yifei , Gao Yang , Gong Cheng , Li Tianle , Dai Quan'min , Zhang dongying
Published: April 2024

Multi-parameter live detection and fusion diagnosis of medium and lower
voltage switch-gear cabinet (M-LVSC) is an important technology for
identification the operating status of power equipment. Under the
operating conditions, a single sensor(UHF,thermal infrared,ultrasonic
partial discharge detection) in the distribution equipment cannot judge
the complex faults.The objective of this research is to develop fusion
diagnosis and techniques for detect the state of 10kV and 400V
distribution equipment in the switch-gear and its bus, identifying any
abnormal conditions, by the infrared camera method and UHF partial
discharge detection. The condition data of the equipment from these
sensors is collected and analyzed to from the operating conditions by
intelligent monitoring data technology for power distribution
equipment.Under the background of big data cloud platform, overheat
defects and discharge defects were captured and deeply analysis by UHF
and infrared camera method. Fusion diagnosis provides an intelligent
decision scheme for power distribution equipment fault diagnosis under
operating conditions. The fusion recognition by comprehensive detect for
a M-LVSC contactors power line and terminal board were verified in power
distribution site.
VEGETATION COVER AND REGENERATION AS PREDICTORS OF DESERTIFICATION PROCESS IN DRY FOREST IN BRAZIL
Authors: Souza Stefanny Martins de , Ramos Maiara Bezerra , Maciel Maria Gracielle Rodrigues , Cunha Sonaly Silva da , Souza José João Lelis Leal de , Lopes Sérgio de Faria
Published: April 2024

The Brazilian Caatinga is one of the most diverse dry forests on the
planet. Half of its original coverage is degraded, and it is currently
identified as one of the main areas undergoing desertification. Natural
regeneration depends on climatic and edaphic conditions, as well as the
adult stratum present in an area. Despite its importance, this process
is little known in the Caatinga. Thus, we aimed to analyze how the
anthropic disturbance, vegetation cover, and soil properties influence
regenerating stratum under different Caatinga vegetation cover levels.
Our study was executed in the driest region of Brazil. We classified our
studied areas as Area I (less vegetation cover) and Area II (greater
coverage). Six plots of 50 x 20 m were delimited for sampling the adult
and regenerating stratum, and the soil in each area. Our results show
interactions between soil characteristics and adult and regenerating
stratum. Area II showed greater diversity and a greater number of
exclusive species; in contrast, a dominance of species more resistant to
limiting conditions was observed in Area I, such as Aspidosperma
pyrifolium Mart. & Zucc. The C and N contents in the soil indicated a
positive and significant correlation with the diversity of the
regenerating stratum. The data revealed that the area with less
vegetation cover, richness, and diversity presented indications of
desertification.
Standardised and reproducible phenotyping using distributed analytics and tools in the Data Analysis and Real World Interrogation Network (DARWIN EU®)
Authors: Alhambra Daniel Prieto , Dernie Francesco , Corby George , Robinson Abigail , Bezer James , Parry Rowan , Jödicke Annika M. , Duarte-Salles Talita , Rijnbeek Peter , Verhamme Katia , Pacurariu Alexandra , Morales Daniel , Pinheiro Luís , Prats-Uribe Albert
Published: April 2024

Purpose The generation of representative disease phenotypes is important
for ensuring the reliability of the findings of observational studies.
The aim of this manuscript is to outline a reproducible framework for
reliable and traceable phenotype generation based on real world data for
use in the Data Analysis and Real-World Interrogation Network (DARWIN
EU®). We illustrate the use of this framework by generating phenotypes
for two complex diseases: pancreatic cancer and systemic lupus
erythematosus (SLE). Methods The phenotyping process involves a 14-step
process based on a standard operating procedure co-created by the DARWIN
EU® Coordination Centre in collaboration with the European Medicines
Agency. A number of bespoke R packages were utilised to generate and
review codelists for two phenotypes based on real world data mapped to
the OMOP Common Data Model. Results Phenotypes were generated for both
pancreatic cancer and SLE, and cohorts were generated using the Clinical
Practice Research Datalink (UK primary care records) and Pharmetrics (US
health claims data). Diagnostic checks were performed, which showed
these cohorts had broadly similar incidence and prevalence figures to
previously published literature. Additionally, co-occurrent symptoms,
conditions, and medication use were in keeping with pre-specified
clinical descriptions based on previous knowledge. Conclusions Our
detailed phenotyping process makes use of bespoke tools and allows for
comprehensive codelist generation and review, as well as large-scale
exploration of the characteristics of the generated cohorts. Wider use
of structured phenotyping methods will be important in ensuring the
reliability of observational studies for regulatory purposes.
Hydroperiod influences tadpole growth and development in the endangered Littlejohn’s tree frog (Litoria littlejohni)
Authors: Nolan Nadine , Hayward Matthew , Callen Alex , Klop-Toker Kaya
Published: April 2024

Amphibians are among the most threatened vertebrate taxa globally. Their
global decline necessitates effective conservation actions to bolster
populations across both the larval and adult life stages. Constructing
man-made ponds is one such action proven to enhance reproduction in
pond-breeding amphibians. However, to achieve successful conservation
outcomes, extensive prior knowledge about the ecology and behaviour of
the target species is required. In this study, we investigated how
different hydroperiod regimes impact the growth and development of
Litoria littlejohni tadpoles. Over a 28-week period, tadpoles were
exposed to three hydroperiod treatments: Constant High, Declining, and
Constant Low water levels. Weekly measurements of snout-to-vent length,
body mass, and Gosner stage were taken to assess any treatment-related
changes. To determine whether different treatments affected locomotor
performance, a jump test was conducted three weeks post metamorphosis.
Individuals did not exhibit developmental plasticity in response to
declining water, with a mean time to metamorphosis of 93.3 days.
Comparatively, when L. littlejohni tadpoles were exposed to low water
volumes, they were able to speed up development and reduce time to
metamorphosis, with a mean time of 56.5 days. The speeding up of
development had an apparent consequence for L. littlejohni. We found
support for trade-offs between rapid development and reduced
morphometric measurements post-metamorphosis which resulted in reduced
locomotive ability. Individuals from Constant Low water treatments
exhibited an average total jumping distance of 170.5 cm over 10
consecutive jumps, compared to 235.8 cm in Constant High and 209.5 cm in
Declining treatments. Rapid larval development aids tadpoles in escaping
suboptimal aquatic conditions, but its effects on locomotion may impact
foraging efficiency and predator escape ability. Understanding
developmental plasticity in threatened amphibians, especially in
response to hydroperiod variations, is crucial for conservation
programs, particularly under future climate change scenarios predicting
increased drought and reduced hydroperiods in aquatic environments.
Rafflesia balatociana (Rafflesiaceae), a new species from the Cordillera Central, Luzon, the Philippines
Authors: Tobias Adriane , Thorogood Chris , Malabrigo Pastor
Published: April 2024

The Cordillera Central is a vast mountain range, spanning 22,500
km in the Philippines, containing some of the
country’s last remaining intact forests. These forests are a reservoir
for biodiversity and home to many poorly-known species, including those
in the genus Rafflesia, renowned for containing the world’s
largest flowers. Here we describe Rafflesia balatociana, a
distinctive yet overlooked taxon from the high elevation moss forest,
which we name after the Balatoc Indigenous Peoples, one of the subtribes
in the Kalinga Province. This species is distinguished from its close
relatives by a combination of conspicuous and stable characters
including a double-dentate disk rim and strap-shaped lacuna on the
annulus interior. We compare R. balatociana with co-occurring
species in the Cordillera Central, provide a key, and consider our
findings in the wider context of the exceptional biodiversity of this
region and its conservation requirements. We propose R.
balatociana should be classified as Critically Endangered, and
recommend its habitat be declared as either a Critical Habitat Area
(CHA) or a Local Conservation Area (LCA).
Disease resistance gene count increases with rainfall in Silphium integrifolium
Authors: Keepers Kyle , Peterson Kelsey , Raduski Andrew , Turner Kathryn , Tassel David van , Smith Kevin , Harkess Alex , Bever James , Brandvain Yaniv
Published: April 2024

Intracellular plant defense against pathogens is mediated by a class of
disease resistance genes known as NB-LRRs or NLRs (R genes). Many of the
diseases these genes protect against are more prevalent in regions of
higher rainfall, which provide better growth conditions for the
pathogens. As such, we expect a higher selective pressure for the
maintenance and proliferation of R genes in plants adapted to wetter
conditions. In this study, we enriched libraries for R genes using
RenSeq from baits primarily developed from the common sunflower
(Helianthus annuus) reference genome. We sequenced the R gene libraries
of Silphium integrifolium Michx, a perennial relative of sunflower, from
12 prairie remnants across a rainfall gradient in the Central Plains of
the United States, with both Illumina short-read (n=99) and PacBio
long-read (n=10) approaches. We found a positive relationship between
the mean effective annual precipitation of a plant’s source prairie
remnant and the number of R genes in its genome, consistent with
intensity of plant pathogen coevolution increasing with precipitation.
We show that RenSeq can be applied to the study of ecological hypotheses
in non-model relatives of model organisms.
The spatial distribution and temporal drivers of changing global fire regimes: a coupled socio-ecological modelling approach
Authors: Perkins Oliver , Kasoar Matthew , Voulgarakis Apostolos , Edwards Tamsin , Millington James
Published: April 2024

In the Anthropocene, humans are the largest drivers of change in
vegetation fire regimes. Humans influence fire regimes both directly, by
starting, managing and extinguishing fires, and also indirectly by
altering fuel composition and connectivity. However, whilst vegetation
fire is a coupled socio-ecological process, representation of human
influences on fire regimes in global-scale modelling remains limited.
This places a fundamental constraint on our ability to understand how
human and natural processes combine to create observed patterns of
vegetation fire, and how such processes may interact under future
scenarios of socioeconomic and environmental change. Here, we respond to
this challenge by presenting a novel integration of two global and
process-based models. The first is the Wildfire Human Agency Model
(WHAM!), which draws on agent-based approaches to represent
anthropogenic fire use and management. The second is JULES-INFERNO, a
fire-enabled dynamic global vegetation model, which takes a
physically-grounded approach to the representation of vegetation-fire
dynamics. The WHAM-INFERNO combined model suggests that as much as half
of all global burned area is generated by managed anthropogenic fires –
typically small fires that are lit and then spread according to land
user objectives. Furthermore, we demonstrate that including
representation of managed anthropogenic fires in a coupled
socio-ecological simulation can improve understanding of the drivers of
unmanaged wildfires. Overall, findings presented here have substantial
implications for understanding of present-day and future fire regimes,
indicating that socio-economic change may be as important as climate
change in determining the future trajectory of fire on Earth.
Large ensemble exploration of global energy transitions under national emissions pledges
Authors: Wessel Jacob Alexander , Iyer Gokul , Lamontagne Jonathan R. , Wild Thomas B , Ou Yang , McJeon Haewon
Published: April 2024

Global climate goals require a transition to a deeply decarbonized
energy system. Meeting the objectives of the Paris Agreement through
countries’ Nationally Determined Contributions and Long-Term Strategies
represents a complex problem with consequences across multiple systems
shrouded by deep uncertainty. Robust, large-ensemble methods and
analyses mapping a wide range of possible future states of the world are
needed to help policymakers design effective strategies to meet
emissions reduction goals. This study contributes a scenario discovery
analysis applied to a large ensemble of 5,760 model realizations
generated using the Global Change Analysis Model. Eleven energy-related
uncertainties are systematically varied, representing national
mitigation pledges, institutional factors, and techno-economic
parameters, among others. The resulting ensemble maps how uncertainties
impact common energy system metrics used to characterize national and
global pathways toward deep decarbonization. Results show globally
consistent but regionally variable energy transitions as measured by
multiple metrics, including electricity costs and stranded assets.
Larger economies and developing regions experience more severe economic
outcomes across a broad sampling of uncertainty. The scale of
CO removal globally determines how much the energy
system can continue to emit, but the relative role of different
CO removal options in meeting decarbonization goals
varies across regions. Previous studies characterizing uncertainty have
typically focused on a few scenarios, and other large-ensemble work has
not (to our knowledge) combined this framework with national emissions
pledges or institutional factors. Our results underscore the value of
large-ensemble scenario discovery for decision support as countries
begin to design strategies to meet their goals.
Cool roofs could be most effective at reducing outdoor urban temperatures in London (United Kingdom) compared with other roof top and vegetation interventions: a mesoscale urban climate modeling study
Authors: Brousse Oscar , Simpson Charles H. , Zonato Andrea , Martilli Alberto , Taylor Jonathon , Davies Michael , Heaviside Clare
Published: April 2024

Comprehensive studies comparing impacts of building and street levels
interventions on air temperature at metropolitan scales are still
lacking despite increased urban heat-related mortality and morbidity. We
therefore model the impact of 9 interventions on air temperatures at 2 m
during 2 hot days from the summer 2018 in the Greater London Authority
area using the WRF BEP-BEM climate model. We find that on average cool
roofs most effectively reduce temperatures
($\sim$~-1.2~$^\circ$C),
outperforming green roofs
($\sim$~0~$^\circ$C),
solar panels
($\sim$~-0.5~$^\circ$C)
and street level vegetation
($\sim$~-0.3~$^\circ$C).
Application of air conditioning across London (United Kingdom) increases
air temperatures by
$\sim$~+0.15~$^\circ$C.
A practicable deployment of solar panels could cover its related
energetic consumption. Current practicable deployments of green roofs
and solar panels are ineffective at large scale reduction of
temperatures. We provide a detailed decomposition of the surface energy
balance to explain changes in air temperature and guide future
decision-making.
Engineering a Pathway to Glucose-Responsive Therapeutics
Authors: Webber Matthew J.
Published: April 2024

In 2014, the American Diabetes Association instituted a novel funding paradigm to support diabetes research through its Pathway to Stop Diabetes® Program. Pathway took a multifaceted approach to provide key funding to diabetes researchers in advancing a broad spectrum of research programs centered on all aspects of understanding, managing, and treating diabetes. Herein the personal perspective of a 2019 Pathway Accelerator awardee is offered, describing a research program seeking to advance a materials-centered approach to engineering glucose-responsive devices and new delivery tools for better therapeutic outcomes in treating diabetes. This is offered alongside a personal reflection on five years of support from the ADA Pathway Program.
Ambientes simulados para formación en salud: memoria de una experiencia pedagógica
Authors: Ramos Velásquez Martha Patricia , Flórez Rico María Esperanza
Published: April 2024

La simulación en salud es utilizada como una estrategia en la formación que permite apropiar conocimientos de manera práctica a través del uso de herramientas físicas, digitales e interactivas. Su finalidad está dada desde la prevención de consecuencias de una inadecuada ejecución en procesos realizados directamente en pacientes, tales como toma de sig­nos vitales, asistencia en la alimentación, venopunción (canalización, toma de exámenes de laboratorio), alistamiento del material en el trabajo de parto, cuidado del paciente, adaptación neonatal, atención al usuario, gestión de calidad. El obje­tivo de este artículo es presentar la memoria sobre una experiencia pedagógica que ofrece la simulación como estrategia pedagógica para la formación de personal en el sector salud de acuerdo a una experiencia vivida dentro del Centro de Formación de Talento Humano en Salud (CFTHS). Metodología: se realizó una revisión la literatura científica relacionada con la formación mediante el uso de ambientes simulados. Se tomaron como referentes las bases de datos como Scielo, Pubmed, Scopus, Google académico. Problema: ¿Cómo integrar la simulación en las estrategias pedagógicas para la formación del personal en salud en el CFTHS? Conclusión: la simulación es un elemento esencial en el desempeño de los aprendices, que permite fortalecer el desarrollo de las competencias, definidas como saber hacer en contexto, desde la propuesta humanística del saber, saber-hacer y ser. Se plantea que las habilidades técnicas y habilidades blandas, se potencian mediante la práctica en escenarios que incluyen la simulación.
Desarrollo de prótesis infantil con tecnología de fabricación aditiva para amputaciones transradiales
Authors: León David Eduardo , Castillo Daza Carlos Alberto , Alonso Castrillón Alejandro
Published: April 2024

Una extremidad indispensable en la vida del ser humano es, sin lugar a duda, la mano, la pérdida de esta extremidad, o el na­cer sin las mismas resulta en una situación limitante físicamente y traumática mentalmente. Objetivo: desarrollar un prototipo de mano biónica impresa en 3D para niños amputados. Método: se utilizó una metodología de desarrollo de sistemas agiles, “Scrum”, con la finalidad de dividir las tareas en varias etapas propuestas por este método con el fin de obtener un prototipo de calidad la cual estuviera documentada. Resultados: se modeló, imprimió, ensambló, programó, evaluó, y documentó el proto­tipo propuesto. Conclusiones: una vez construido el modelo protésico es posible manifestar que proporciona una suplencia modesta, sin embargo, aún no suple la totalidad de las capacidades biofísicas y biomecánicas de una extremidad superior tan compleja como la mano humana, por ello se recomienda en futuros proyectos el rediseño de este modelo con la finalidad de aumentar el rendimiento autónomo mediante naturalidad del movimiento de manera general.
Organizational Zombies
Authors: IA* Al-Baher
Published: April 2024

The zombie phenomenon in organizations is a psychological condition that affects managers working at the middle management level in the organization, because the manager at that level works hard to gain the satisfaction of upper management at the expense of grinding down workers at the executive management level, so that this model of managers seeks to suck the blood of workers and exploit their needs. Their simple and innocent desires that are worth nothing in return for the work and hard work they do. Such a model of managers practices the phenomenon of organizational zombies based on their ability to deprive workers at the executive level of their emerging desires and needs on a daily basis.
Mental Status and Physical Activity amongst Athletes during Lockdown and Isolation
Authors: M* Rathi
Published: April 2024

Background: COVID-19 Pandemic had detrimental effects such as loss of aerobic fitness, musculoskeletal and cognitive decline which were mostly associated with physical inactivity. Athletes being the physically active person all the time, COVID 19 Pandemic will also affect their status of fitness. Hence the objective of this study was to assess the Mental and physical activity amongst athletes. Method: A cross sectional survey was conducted in which 150 athletes participated. They filled pre validated Self-reported questionnaire and Depression, Anxiety, Stress Scale - 21 (DASH 21) and returned to the researcher. Result: Result of DASH 21 showed that 71.33% athletes were affected their mental status, 57.33% (CI- 49.01% - 65.36%) had Anxiety, 50.67% (CI- 42.39% - 58.92%) had depression and 34.67% (CI - 27.09 – 42.86%) had stress. Self reported questionnaire indicated 64.67% (CI- 56.45% - 72.29%) affected their physical training due to lockdown. Conclusion: Overall physical activity of the athletes was reduced, and had mental health problems as they were suffering from depression, anxiety and stress due to the COVID-19 lockdown.
Proximate and Physicochemical Composition of Food Prepared from Fermented Starch
Authors: N* Nwachoko
Published: April 2024

Fermentation is a metabolic process that produces chemical changes in organic substances through the action of enzymes. This study was designed to evaluate the proximate and physicochemical composition of food prepared from fermented starch. Cassava starch was allowed to ferment for a period of 12 days, proximate and physicochemical compositions were analysed using standard methods at intervals of 3 days. The result of proximate analysis showed that fermentation significantly increased the % moisture and protein content (B2 to B5) when compared to B1 of the starch food. Also a significant decrease in carbohydrate content (42.99±0.03 - 9.02±0.05) of the fermented samples was noted. The fibre and ash contents were significantly higher after 12 days of fermentation (B5) compared to the other batches. Result of the physicochemical parameters showed that the chloride values, solubility and oil absorption abilities of the samples decreased as the fermentation period increased. The wettability of the samples significantly increased in all the fermented samples compared to unfermented samples. The result obtained in this study showed that fermentation significantly enhanced the % protein and moisture content of the food and decreased the carbohydrate content as the fermentation period increased.
Density Functional Study of Aflatoxin B1, B2, G1 and G2: NBO and AIM Analyses
Authors: Manesh* H Mohammadi
Published: April 2024

Aflatoxin, belonging to the bisfuranocoumarine group of organic compounds, encompasses several species such as aflatoxin B1, B2, G1, and G2. In this study, geometry optimizations of these aflatoxins were conducted using density functional theory at the B3LYP/6-311G (d, p) level of theory. The computational findings reveal that aflatoxin B1, known for its toxicity, exhibits greater instability. Atom in molecule analysis reveals the presence of a partial covalent intra-molecular bond at C6- O5. Furthermore, the natural bond orbital calculations demonstrate that the structures of the highest occupied molecular orbital and the lowest unoccupied molecular orbital are identical for all four studied aflatoxins, albeit with different energies. Aflatoxins B1 and B2 are determined to be harder species compared to aflatoxins G1 and G2.
Drugs Avoided during Pregnancy
Authors: S Vyawahare
Published: April 2024

Some medicines can harm a developing baby or beget a confinement or birth. Occasionally, not taking a certain drug can beget further problems for you or your baby than if you do take them. Generally, you shouldn’t take any OTC drug while pregnant unless it’s necessary. Gestation is a special physiological condition where medicine treatment presents a special concern because the physiology of gestation affects the pharmacokinetics of specifics used and certain specifics can reach the fetus and beget detriment. Total avoidance of pharmacological treatment in gestation isn’t possible and may be dangerous because some women enter gestation with medical conditions that bear ongoing and episodic treatment (e.g. asthma, epilepsy, and hypertension). Also during gestation new medical problems can develop and old bones can be aggravated (e.g. migraine, headache) taking pharmacological remedy. The fact that certain medicines given during gestation may prove dangerous to the future child is one of the classical problems in medical treatment.
Women Wellness: A Mental Health Perspective on Pregnancy
Authors: A Almaguer
Published: April 2024

Post-partum depression (PPD) is estimated to occur to approximately 10 to 20 percent of mothers. Hormonal changes, situational risks and external stressors can contribute to the onset of PPD. Research suggests maternal mental health disorders have shown to not only affect the mother’s overall wellbeing but also the development of the fetus. However, there is still an immense gap between the prevalence of women with mental disorders and those who access mental health services. Given the vulnerability of this population and severe consequences, more emphasis should be placed in programs and treatments to increase maternal wellbeing. Findings suggests, early detection of risk factors, education on mental health, and early psychological treatment are vital factors in helping this population.Although, there is current evidence addressing the effectiveness of proper screening. There is still a lack of research on the access of mental health services, effectiveness on various types of psychological treatments and means to implement such services in maternal health care settings.
Simulation driven machine learning methods to optimise design of physical experiments and enhance data analysis for testing of fusion energy heat exchanger components
Authors:   , Lewis Rhydian
Published: April 2024

Plasma facing components (PFCs) must be designed to routinely withstand the harsh environment of a fusion device, where temperatures at the core of the plasma exceed 150,000,000 °C. The heat by induction to verify extremes (HIVE) experimental facility was established to replicate the thermal loads a PFC is subjected to during normal operation of a fusion device.To maximise its impact on the design of PFCs, HIVE must deliver smarter testing and improved component insight. Currently, the experimental parameters required to deliver a certain response to the component are decided at the point of testing through a combination of previous experience, intuition, and trial & error, which is both time-consuming and unreliable. To assess a PFC’s suitability, knowledge of its mechanical performance while operating at high temperatures is desirable, however HIVE only records pointwise temperature measurements on the component’s surface using thermocouples. Currently, HIVE has no method of inferring a component’s mechanical response using the temperature measure-ments.Both the challenges of smarter testing and improved component insight can be achieved through the identification of inverse solutions. A popular approach to solving engineering inverse problems is surrogate assisted optimisation, where a machine learning model is trained using finite element (FE) simulation data. Much of the work in literature use single value surrogate models on quite simplistic problems, however HIVE is a real-world, multi-physics problem which requires full field (FF) surrogate models to solve its multitude of inverse problems.The development of a method which can easily construct FE data driven FF surrogates would be invaluable for a variety of tasks in engineering, as well as solving inverse problems. In this work, it demonstrates that it can provide a much more robust and comprehensive method of characterising a PFC’s strengths and limitations, enabling more informed decisions to be made during its design cycle.
Análise de um sistema de recursos, construído por um professor de Química, em uma formação continuada
Authors: DIAS ADRIANA DE OLIVEIRA , ABAR CELINA APARECIDA ALMEIDA PEREIRA
Published: April 2024

Esse artigo apresenta resultados parciais de uma pesquisa sobre o uso do GeoGebra, por professores, na criação de recursos para o ensino da matemática e ciências adaptando ou criando materiais, ajustados aos interesses, às necessidades e aos problemas que enfrentam nas escolas, utilizando como referencial teórico a Abordagem Documental do Didático. Foi proposta, inserida em um projeto de um doutorado ainda em desenvolvimento, uma formação continuada na qual, por meio de um trabalho colaborativo entre pesquisadores e professores, procurou-se integrar a tecnologia como ferramenta potenciadora de novas ideias para o ensino. É apresentado neste artigo o sistema de recurso de um dos professores participantes da formação, analisado alguns recursos considerados centrais, com o objetivo de procurar identificar os invariantes operacionais relacionados e levando-se em conta seu conhecimento e crenças.
Recommended LNG Commercialization Strategy to Maintain Business Sustainability in the Global LNG Market: A Case Study of PPTETS
Authors: Fachira Ira , Kustanto Adi
Published: April 2024

LNG supply and demand growth have steadily increased in the past 12 months, recovering from pandemic-related outages in early 2021. Supported by increased LNG supply and demand, a surge in LNG trading has been seen across the world, and there is no indication of slowing down in the near future. Those situations become the opportunity for an LNG seller who has the potential uncommitted LNG supply to be offered to the buyer. PPTETS (which is not a complete name of the company, but a real Singapore registered company), which is owned 100% by PPTET Ty (which is not a complete name of the company, but a real Japan registered company), which is a joint venture company between Pertamina and various Japanese utility & power companies, is required to anticipate that opportunity. With consideration of the dynamic changes in global LNG market development, PPTETS needs to formulate the company’s business strategy, which is intended to seize future business opportunities.
The main objective of this research is to formulate a PPTETS LNG commercialization business strategy to generate profit and maintain sustainability in the global LNG market. The analysis will consider both primary and secondary data, with underlying theoretical for external factors such as PESTEL analysis and Porter’s Five Forces, while for internal factors analysis will utilize a resource-based view and VRIO. As a synthesis of the company’s internal and external analysis, SWOT analysis and TOWS matrix will then be utilized. Finally, based on the analysis and formulation that has been conducted, it could be concluded that PPTETS has the opportunity and capabilities to maintain its business sustainability by trading in the global LNG market. After considering several findings from both external and internal factors of primary and secondary data, aside from cost focus leadership as a generic competitive strategy, there are 3 (three) specific business strategies recommended to PPTETS in order to generate profit and maintain sustainability, which are (i) collaboration with Pertamina, (ii) developing PPTETS internal procedures, and (iii) further PPTETS’ business development.
Comentario de la Sentencia del Tribunal de Justicia de la Unión Europea (Sala Tercera) de 15 de noviembre de 2023, C-196/22
Authors: García García Sara
Published: April 2024

Comentario de la Sentencia del Tribunal de Justicia de la Unión Europea (Sala Tercera) de 15 de noviembre de 2023, C-196/22.
Luigi Costato-Luigi Russo, Corso di diritto agrario italiano e dellÚnione europea
Authors: Ciccone Mariassunta
Published: April 2024

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Jaime Lamo de Espinosa y Alberto Garrido, (Coords.) Regadío y seguridad alimentaria: la situación en España
Authors: García García Sara
Published: April 2024

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Análisis morfométrico de espermatozoides de peces nativos de lagunas pampásicas
Authors: Schulman María Emilia , Cartelle Jonathan Hernán , Malcervelli Daniela Marina , Torres Pablo , Rivolta Miguel Ángel , Cisale Humberto Osvaldo , Fischman María Laura
Published: April 2024

Las lagunas pampásicas proveen hábitats para especies de peces con importancia biológica, económica y social. En la región Sudamericana, muchas de las especies comerciales están sobreexplotadas. Esto impulsó la implementación de criaderos para mantener la demanda de la producción acuícola. La utilización de biotecnologías reproductivas, como la criopreservación de semen, permitiría aumentar la producción de los criaderos. Para ello, se debe tener en cuenta que el manejo de semen criopreservado requiere herramientas adecuadas que permitan evaluar su capacidad fecundante. En la actualidad, la morfometría de los espermatozoides de peces no se incluye en las evaluaciones de rutina. Este parámetro, junto con la movilidad, viabilidad, concentración, morfología e integridad de membrana, son determinantes de la calidad del semen. El objetivo del presente trabajo fue evaluar los parámetros morfométricos de las células espermáticas de especies nativas pampásicas Oligosarcus jenynsii, Odonthestes bonariensis y Cyphocharax voga mediante la utilización de un sistema computarizado para el análisis de semen. Estas determinaciones permitieron obtener parámetros de referencia en relación con el tamaño y la forma celular. Se observaron diferencias interespecíficas significativas en los parámetros relacionados con el tamaño de los espermatozoides, mientras que la forma de las cabezas espermáticas de las tres especies analizadas tendió a ser esférica. Este trabajo constituye un aporte en el análisis de la morfometría de espermatozoides de peces de especies autóctonas.
La inteligencia artificial como suplente del docente
Authors: Hiriart Camacho Guillermo , Marín Álvarez Marco Antonio
Published: April 2024

La educación a nivel mundial representa una preocupación, derivada de la pandemia por COVID-19 y cuestiones económicas provenientes de esta misma situación, se registró una deserción escolar importante, el mismo caso lo podemos observar en nuestro país gracias a los datos proporcionados por el INEGI; por esta razón se ha buscado integrar la tecnología en el día a día de los docentes con la finalidad de mejorar el aprovechamiento de los alumnos. Una de ellas es la inteligencia artificial (IA), pero esto despierta dudas y miedos en cuanto a la posibilidad de sustitución del ser humano, desempeñando esta actividad fundamental para el desarrollo de la sociedad. En este sentido, lo primero es diferenciar las características entre los docentes virtuales y los humanos, esto permite tener una visión en cuanto a las ventajas entre uno y otro. Después de ello, conocer la visión de las empresas dedicadas a brindar inteligencia artificial como uno de sus servicios, identificar cuál es su visión a futuro en cuanto a las aportaciones en el campo de la docencia; además de la exposición de los recursos aplicados existentes como son chats y los formadores virtuales con inteligencia artificial. Adicionalmente, mostrar la visión de un experto en inteligencia artificial que se haya planteado la posibilidad de incorporar IA a la actividad docente y del Foro Económico Mundial referente a esta temática. A partir de dichas instancias se tiene la posibilidad de plantear una prospectiva, en este caso presentando dos escenarios, uno de colapso y otro de transformación, a su vez, permitiendo mostrar dos extremos que incentiven a otros investigadores y desarrolladores a indagar en el tema.