bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Multi-level Intervention on Frequency of Child Occupants’ Safe Behaviors in Iran Using Socio-ecological Model
Authors: Aghdam Fatemeh Bakhtari , Ajami Nahid , Sadeghi-Bazargani Homayoun , Mohammadpoorasl Asghar , Jahangiry Leila
Published: March 2023

Background
This study aims to examines child occupants’ unsafe behaviors and design, implement and evaluate the multi-level intervention program using Socio-ecological model (SEM) to promote child occupants’ safe behaviors.
Methods
This interventional study was conducted in two educational districts of Tabriz, northwest of Iran. SEM was used in two intervention and control groups (n = 160 children per group). The intervention group received educational programs through virtual education application. Messages, images and short videos of unsafe behaviors were sent to students, teachers and parents by this application. Social support was provided through peers, parents and teachers to promote safe behaviors. Interventions were implemented at intrapersonal, interpersonal and social levels. The frequency of unsafe behaviors was examined in both groups before and after intervention.
Results
Behaviors of sitting in the front seat, sitting on the lap of the front passenger, standing in the back seat and sticking hands or other parts of the body out of the window decreased among children by 64.8%, 32.4%, 38% and 84% in the intervention group, respectively (vs. 27%, 23%, 7% and 30.6% in the control group, respectively). However, no statistically significant difference was observed between the two groups in the frequency of using safety seats.
Conclusion
Using multi-level interventions by SEM could reduce child occupants’ unsafe behaviors.
Dynamics of upper respiratory tract infections before, during, and after the COVID-19 pandemic in Germany: a cross-sectional study of 2,167,453 outpatients
Authors: Loosen Sven H. , Plendl Wolfgang , Konrad Marcel , Tanislav Christian , Luedde Tom , Roderburg Christoph , Kostev Karel
Published: March 2023

Background
Although the burden of the COVID-19 pandemic on global healthcare systems is declining, long-term sequelae such as long COVID syndrome and other disease dynamics not primarily associated with COVID-19 remain a challenge. Recent data suggest that the incidence of non-COVID upper respiratory tract infections (URTI) is increasing sharply in the post-pandemic period, but there is a lack of real-world data from Germany in this respect.
Methods
This cross-sectional study evaluated the number of patients with a diagnosis of URTI from the Disease Analyzer database (IQVIA) between January 2019 and December 2022. The number of UTRI diagnoses per practice and the duration of sick leave per patient were compared over time.
Results
A total of 1,872,935 individuals (1,403,907 patients from general practices (GP) and 469,028 patients from pediatric offices) were included, 48% of whom were female. The number of URTI patients per practice was significantly higher in 2022 than in 2019 (732 vs. 464, 58%, p < 0.001) and this was observed for both women (56%, p < 0.001) and men (60%, p < 0.001). The post-pandemic increase in the number of URTI diagnoses correlated with age and was highest in the age group between 18–30 years (22%, p < 0.001) and lowest in older patients > 70 years (3%). In pediatric patients (< 18 years), the increase was highest in the age group ≤ 5 years (89%). Both the number of patients per practice on sick leave due to URTI (184 vs. 92) and the average duration of sick leave (+ 2 days) increased from 2019 to 2022.
Conclusion
Our data suggest a dramatic increase in the incidence of URTI among all demographic subgroups in Germany between 2019 and 2022, which was associated with a tremendous impact on socioeconomic variables such as the frequency or duration of sick leave. These data could be of great importance in current pandemic management and the management of future pandemics.
Security and Network Approach in Smart Environments – Role of SD-WAN Technology
Authors: Saeed Mozamel M.
Published: March 2023

A networking program established to meet current network needs within an extensive network with new architectures. This study presents a novel model of network connections with various devices such as mobile phones and laptops to control overall network management. This study compares and contrasts two home networks, each with its uses. Three linked Alcatel-Lucent 7750 IP service edge routers connect each network to an ISP network. This study builds on multi-carrier assured-service-quality connection tunnels to accommodate multi-ISP scenarios. In this regard, logical manipulation is taken for all connected devices with device abstraction and network programs. Software-Defined Networking (SDN) is a potential option for the future Internet. Two features can define SDN: one is the elimination from the data plane of the control plane, and the other includes programming for the optimization of network applications. SDN can provide additional architecture, efficiency, and versatility for complex applications to meet modern network architectures.
Inhibiting XPOT suppresses TNBC growth via downregulating specific tRNA- TTC19 pathway mediating cytokinesis failure
Authors: Dai Huijuan , Yang Xiaomei , Sheng Xiaonan , Wang Yaohui , Zhang Shan , Zhang Xueli , Hu Lipeng , Zhang Zhigang , Dong Xinrui , Yin Wenjin , Yao Linli , Lu Jinsong
Published: March 2023

Background
Transfer RNAs (tRNAs) are transported to the cytoplasm participating in mRNA translation through carrying cognate aminoacyl amino acids to ribosomes. Accumulating evidence shows that tRNAs play an important role in development and progression of various cancers, including breast cancer. However, it is still poorly clarified whether and how individual tRNA is modulated in triple negative breast cancer (TNBC) progression.
Methods
Clinical value of XPOT was explored in breast cancer cohorts. TNBC cell lines with XPOT silence were used for in vitro and in vivo experiments. RNA-seq, tRNA high throughput sequencing and Protein mass spectrometry of XPOT were performed for exploring the underlying molecular mechanism of XPOT promoting TNBC growth.
Results
XPOT (Exportin-T), a nuclear export protein receptor of tRNAs, was associated with poor prognosis of breast cancer. In vitro experiments showed XPOT knockdown could inhibit TNBC cells proliferation. RNA-seq results indicated that XPOT was involved in the cytokinesis completion of TNBC cells. High throughput sequencing of tRNA revealed that XPOT specifically influenced a subset of tRNA isodecoders nucleo-cytoplasmic trafficking including tRNA-Ala-AGC-10-1. Mechanistically, we found that XPOT preferentially transported nuclear tRNA-Ala-AGC-10-1 to the cytoplasm and drove the translation of TPR Repeat Protein 19 (TTC19) through codon preferential analysis and protein mass spectrometry analysis. TTC19 was also indispensable for cytokinesis and proliferation of TNBC cells.
Conclusions
Together, these findings provide a novel regulatory translation mechanism of preferential tRNA isodecoder nucleo-cytoplasmic transport through XPOT to modulate biological behavior of TNBC. This regulation mode could coordinate the spatial location of specific tRNA and the translation of mRNA, to facilitate TNBC proliferation and progression. Targeting XPOT may serve as a novel potential therapeutic strategy for TNBC.
High-Flow Nasal Cannula Oxygen Therapy during Deep Intravenous Sedation for Cataract Surgery in the Elderly: A Case Report
Authors: Nafeh Nancy Abou , Harb Alain , Karam Cynthia , Mroueh Raghad , khalili amro
Published: March 2023

In a multidisciplinary approach between the anesthesiologist and the ophthalmologist, we report the successful use of high-flow nasal canula (HFNC) oxygen therapy in a sedated, obese, anxious, old patient undergoing cataract surgery under deep intravenous (IV) sedation to eliminate his upper airway obstruction, heavy snoring, apnea, and oxygen desaturation while using a regular nasal cannula for oxygen supply, thus avoiding the need for general anesthesia with endotracheal intubation or case cancelation.
The Czech version of MAIN: adaptation, revision, pilot data from typically-developing and hearing-impaired children, and future steps
Authors: Nováková Schöffelová Miroslava , Saicová Římalová Lucie , Mikulajová Marína , Homolková Kamila
Published: March 2023

The article introduces the latest Czech version of the Multilingual Assessment Instrument for Narratives (MAIN). The first Czech version of MAIN was published in 2020 and was piloted in 2020–2021. Subsequently, a revised Czech version of MAIN was created. This article introduces this latest version of MAIN, describes minor changes to the manual caused by typological features of Czech and a specific cultural context, and presents sample analyses of the pilot data collected from typically-developing and hearing-impaired children. The results from the pilot study indicate that MAIN functions properly in the Czech context, in particular for preschool children. The results show that MAIN can be fruitfully applied to assess speech and language skills in hearing-impaired children in the Czech context.
Adapting MAIN to eliciting stories from adults and in a remote context: What do we have to consider, and what do we know?
Authors: Karl Katrin Bente
Published: March 2023

The present study suggests guidelines for the successful elicitation of adults’ narratives using an online remote design. In doing so, I have adapted the Multilingual Assessment Instrument for Narratives (LITMUS MAIN) to an adult population and specify possible applications in a remote context. Hereby, I elaborate on various features that impact the elicited data and the testing context. I also report results from a pilot study with 10 adults telling MAIN stories using three different testing methods (two moderated methods using PowerPoint or an external link and one unmoderated) to argue that different methods of remote narrative elicitation do not influence the macrostructure of the narratives. However, by extending the analysis to the context of the testing and including the experimenters’ and participants’ assessments of the testing situation, we can see differences that lead me to recommend the so-called Link method (a moderated remote testing method with a certain degree of autonomy) for remote testing with adults.
A síelés, mint a szabadság öröme egy életen át
Authors: Mayer Krisztina
Published: March 2023

Ez a tanulmány az ötven év felett, legalább 20 éve rendszeresen síelők sporttevékenységébe és annak pszichológiai háterébe enged betekintést, különös tekintettel a motivációra és örömforrásra. A vizsgálat mintát 35 fő (25 férfi és 10 nő) alkotja, átlagos életkoruk 55,06 ±6,34 volt. Célkitűzés: A kutatás kvalitatív módszer alkalmazásával tárja fel a síelés mögött húzódó motívumokat. Ez a megközelítés újszerű és szokatlan, de sokkal több információval szolgál, mint a kvantitatív megközelítés. Eredmények: Az eredmények arra engednek következtetni, hogy az 50 év felett síelők belső motivációval rendelkeznek, ideértve a szabadság, az öröm, a kikapcsolódás és a flow élmény átélését, a táj által nyújtott látvány szépségét, valamint egy hasonló érdeklődésű emberek alkotta csoportba tartozást.
Estimation of potential nutrient fluxes from the Wadi Gaza catchment into the Mediterranean Sea with emphasis on flooding events
Authors: Al-Najjar Hassan , Purnama Anton , Özkan Korhan
Published: March 2023

The coastal catchment of Wadi Gaza is the main surface water basin that flows downstream to Gaza's coastal plain zone and drains into the Mediterranean Sea. The model-based assessment of the Wadi Gaza hydrological system is an essential endeavor for more efficient management of water resources and ensuring water security in terms of climate changes and anthropogenic processes. The hydrological simulation of the basin was performed using the SWAT model between 1984 and 2020. The outputs of the simulation predicted an average discharge that varies between zero in the summer months and about 15 m3/s in the winter with a maximum recorded discharge of about 130 m3/s. The model predicted average sediment and nutrient discharge to the sea as 3673, 177, and 62 tons per month of sediments, total nitrogen (TN), and total phosphorus (TP), respectively. The average dissolved inorganic nitrogen discharges were predicted to be 4, 13, and 1 tons per month for Nitrate (NO3), Ammonium (NH4), and Nitrogen dioxide (NO2), respectively during the rainy season. The constructed model is used to predict flood volumes and associated TN and TP for return periods (T) of 2, 25, 50, and 100 years. These return periods corresponded to total water discharges of 18, 91, 105, and 127 m3/s, respectively, accounting for 1,142, 5,773, 6,915, and 8,059 tons of TN, and 414, 2,092, 2,505, and 2,919 tons, of TP respectively.
Los conocimientos botánicos en los estudiantes de escuelas rurales: una guía para su reconocimiento en las clases de Ciencias Naturales
Authors: Hernández-Barbosa Rubinsten
Published: March 2023

Este texto tiene como propósito describir una propuesta metodológica para identificar, caracterizar, clasificar, sistematizar y valorar los conocimientos que tienen los estudiantes de las escuelas del sector rural sobre las plantas. La propuesta toma también en consideración la importancia que tiene el reconocimiento y la valoración de los conocimientos etnobotánicos de una comunidad y su incorporación a la escuela, particularmente en las clases de Ciencias Naturales. Es una posibilidad que puede ser dinamizada y reestructurada considerando, entre otras cosas, la visión de ciencia, de conocimiento, de los planes de estudio, de los recursos institucionales y, por supuesto, de los contextos culturales, entre otros aspectos. El desarrollo de esta propuesta favorece, entre otras cosas, la creación de “puentes” entre los saberes tradicionales y el conocimiento científico escolar sobre las plantas. Es una invitación para que los docentes contribuyan a desarrollar actitudes más favorables y positivas hacia el contexto cultural, hacia la ciencia misma, y a que los estudiantes se sientan más motivados y comprometidos con su entorno y riqueza natural.
Políticas públicas de gênero-raça e a gestão democrática na educação
Authors: Dantas Gisele Cristine da Silva , Antloga Carla Sabrina Xavier
Published: March 2023

Democracia, desenvolvimento e políticas de gênero estão ligados às condições de justiça social, previstas na legislação, ainda em construção (BRASIL, 1988, 1996, 2007; CORRÊA, 2018; MADSEN, 2008; OLIVEIRA, 2018; SERPA; PETRY, 2017). A participação política das mulheres é sub-representativa (IBGE, 2018a, 2018b), ainda que sejam maioria da população brasileira (51,7%) e de escolarização superior. Este estudo buscou analisar a divisão sexual e racial do trabalho docente, importantes para relações de poder, assimetrias e democracia (BIROLI, 2018), e a participação política na gestão escolar. Foi realizada pesquisa documental qualitativa dos resultados das eleições escolares na rede pública de ensino da capital brasileira nos últimos 12 anos (2008-2019), em cinco processos eleitorais. Apesar da maioria na categoria, em 76,3% (SEPLAG, 2016), e do crescimento de unidades em 10,8% no período, houve queda de mulheres de 69,7% (2008) para 61,1% (2019). Identificou-se um aumento de diretores declarados pardos, diferentemente da média nacional.
Impacto de un programa de aprendizaje socioemocional en la autoestima de los escolares pertenecientes a comunidades educativas interculturales Mapuches en la región de la Araucanía-Chile
Authors: Rubilar Yasna , Cachón Javier , Castro Manuel
Published: March 2023

Este estudio describe los resultados de un programa de intervención en Aprendizaje Socioemocional (ASE), y el fortalecimiento de la autoestima de estudiantes provenientes de dos colegios interculturales de la región de la Araucanía, Chile. El tipo de investigación fue cuasi experimental con pre-post test, con grupo experimental (n=122) y control (n=84). Los análisis mostraron diferencias estadísticamente significativas entre los grupos (t(204)=2.04, p=.043), donde el grupo experimental presentó puntuaciones promedio superiores (M=18.25, DE=4.74) a las del grupo control (M=16.87, DE=4.86). Los resultados mostraron que el efecto de un programa de intervención en Aprendizaje Socioemocional fue moderado (η²>0.25) en la autoestima de los estudiantes.
Perspectives on Iron Deficiency as a Cause of Human Disease in
Global Public Health
Authors: Bjørklund Geir , Semenova Yuliya , Hangan Tony , Pen Joeri J. , Aaseth Jan , Peana Massimiliano
Published: March 2023

Iron (Fe) is a necessary trace element in numerous pathways of human
metabolism. Therefore, Fe deficiency is capable of causing multiple health problems.
Apart from the well-known microcytic anemia, lack of Fe can cause severe psychomotor
disorders in children, pregnant women, and adults in general. Iron deficiency is a global
health issue, mainly caused by dietary deficiency but aggravated by inflammatory conditions.
The challenges related to this deficiency need to be addressed on national and international
levels. This review aims to summarize briefly the disease burden caused by Fe
deficiency in the context of global public health and aspires to offer some hands-on guidelines.
Computer Vision-Based Assistive Technology for Blind and Visually Impaired People: A Deep Learning Approach
Authors: G.M. Roopa , Prakash Chetana , Pradeep N.
Published: March 2023

According to the World Health Organization (WHO), a minimum of 2.2 billion individuals worldwide have impaired vision or are blind. In contrast to hereditary blindness, gained visual impairment is frequently identified as a result of aging, lifestyle habits, or hereditary influences. Aging-related presbyopia has the largest influence on visual impairment and is the second most prevalent cause of blindness globally, and the rate of acquired blindness is predicted to rise dramatically as life expectancy rises. When performing most of the everyday tasks that non-disabled individuals do, visually and blind people face several problems. Thus, assistive gadgets have been utilized to help the blind and visually impaired overcome physical, social, infrastructural, and accessibility hurdles to independence, allowing them to live engaged, creative, and fruitful life as equal members of society. The usage of assistance equipment has increased, and numerous electronic help devices have been produced in recent years, which have been superseded by traditional aid gear, such as white canes. Currently, ATs are created by integrating various types of sensors, cameras, or feedback channels that combine with various implementation methodologies to increase movement for the visually handicapped. Assistive systems based on computer vision or machine learning approaches have emerged, and as technology has advanced, so has assistive technology. Assistive technology is a priority in the field of education and rehabilitation for individuals with blindness or low vision because it “equalizes the ability to access, store, and retrieve information between sighted people and those with visual impairments”. Nowadays, technological advances are making a difference in their ability to overcome difficulties to some extent. Every day, they encounter a slew of challenges, the most significant of which are establishing one's position, determining one's heading and movement directions, and comprehending the placements of things. The goal of assistive technology is to boost impaired people's faith, comfort, security, independence, and quality of life by enhancing their mobility and decreasing their impairment.
Affective Computing
Authors: Verma Gyanendra K.
Published: March 2023

With the invention of high-power computing systems, machines are
expected to show intelligence at par with human beings. A machine must be able to
analyze and interpret emotions to demonstrate intelligent behavior. Affective
computing not only helps computers to improve performance intelligently but also
helps in decision-making. This chapter introduces affective computing and related
issues that influence emotions. This study also provides an overview of human.computer interaction (HCI) and the possible use of different modalities for HCI.
Further, challenges in affective computing are also discussed, along with the
application of affective computing in various areas.
Affective Information Extraction, Processing and Evaluation
Authors: Verma Gyanendra K.
Published: March 2023

This chapter presents a state-of-the-art review of existing affective
information extraction and processing approaches. Various evaluation criteria, such as
Evaluation matrices like ROC, F1 measure, Mean Square Error, Mean Average Error,
Threshold criteria, and Performance criteria are also reported in this chapter.
Multimodal Fusion Framework and Multiresolution Analysis
Authors: Verma Gyanendra K.
Published: March 2023

This chapter presents a multi-modal fusion framework for emotion
recognition using multiresolution analysis. The proposed framework consists of three
significant steps: (1) feature extraction and selection, (2) feature level fusion, and (3)
mapping of emotions in three-dimensional VAD space. The proposed framework
considers subject-independent features that can incorporate many more emotions. It is
possible to handle many channel features, especially synchronous EEG channels and
feature-level fusion works. This framework of representing emotions in 3D space can
be extended for mapping emotion in three-dimensional spaces with three specific
coordinates for a particular emotion. In addition to the fusion framework, we have
explained multiresolution approaches, such as wavelet and curvelet transform, to
classify and predict emotions.
Emotion Recognition From Facial Expression In A Noisy Environment
Authors: Verma Gyanendra K.
Published: March 2023

This study presents emotion recognition from facial expressions in a noisy
environment. The challenges addressed in this study are noise in the images and
illumination changes. Wavelets have been extensively used for noise reduction;
therefore, we have applied wavelet and curvelet analysis from noisy images. The
experiments are performed with different values of Gaussian noise (mean: 0.01, 0.03)
and (variance: 0.01, 0.03). Similarly, for experimentation with illumination changes,
we have considered different dynamic ranges (0.1, 0.9). Three benchmark databases,
Cohn-Kanade, JAFFE, and In-house, are used for all experimentation. The five best
machine learning algorithms are used for classification purposes. Experimental results
show that SVM and MLP classifiers with wavelet and curvelet-based coefficients yield
better results for emotion recognition. We can conclude that Wavelet coefficients-based
features perform well, especially in the presence of Gaussian noise and illumination
changes for facial expression recognition.
Spontaneous Emotion Recognition From Audio-Visual Signals
Authors: Verma Gyanendra K.
Published: March 2023

This chapter introduces an emotion recognition system based on audio and
video cues. For audio-based emotion recognition, we have explored various aspects of
feature extraction and classification strategy and found that wavelet analysis is sound.
We have shown comparative results for discriminating capabilities of various
combinations of features using the Fisher Discriminant Analysis (FDA). Finally, we
have combined the audio and video features using a feature-level fusion approach. All
the experiments are performed with eNTERFACE and RML databases. Though we
have applied multiple classifiers, SVM shows significantly improved performance with
a single modality and fusion. The results obtained using fusion outperformed in
contrast results based on a single modality of audio or video. We can conclude that
fusion approaches are best as it is using complementary information from multiple
modalities.
Revolutionizing the Modern Education through Digital Transformation: Challenges and Solutions
Authors: Mahajan Navita
Published: March 2023

In today's world, digitalization is an instrument but apart from that, a way to
survive that unlocks new opportunities such as knowledge without any time constraint
with continuous education. The digital revolution necessitates integrating data and
ways to improve a company's basic business operations to efficiently meet customer
expectations. The entire academic fraternity is the target consumer in the educational
sector. Digitalization in education is directly linked to a new way of doing things in a
digital environment around the world, as well as the development of millennials who
were born and taught in that milieu. This present study delves into the unique
characteristics of digital education, as well as the current level of its implementation,
expected outcomes, and related problems, hence a transformation study has
demonstrated the fundamentals of e-education with its implementation in modern
society. The study has critically evaluated the benefits and challenges with reference to
current transformation and the effectiveness of this kind of teaching-learning process.
The study is based on secondary research that has covered information regarding the
benefits of employing electronic educational tools in teaching. The study concludes
with some prominent solutions to make this transformation more visible and user friendly. The implication of the study suggests its benefit for all the stakeholders
involved in the e-learning process transition right at the state, private or institutional
bodies level for the policy frameworks, model designs, and dissemination through such
digital models. 
Diseño mecatrónico como acercamiento a la transdisciplinariedad en ingeniería mecatrónica
Authors: Guasmayan Guasmayan Fredy Alexander
Published: March 2023

La ingeniería mecatrónica, desde sus orígenes, tiene una naturaleza transdisciplinaria enmarcada en la sinergia de las disciplinas que la conforman y cómo estas independientemente no solucionan problemas de manera óptima, como si lo hacen cuando se integran y a su vez conducen a nuevos conceptos reflejados en el diseño de productos y procesos mecatrónicos caracterizados por su autonomía, versatilidad, adaptabilidad, inteligencia y concurrencia de sus funciones sistémicas. Históricamente, el concepto de mecatrónica en el mundo se ha visto marcado por la dificultad para definir con precisión como se desarrolla la sinergia entre las disciplinas que la conforman, siendo allí donde se originan distintas tensiones que manifiestan mayor o menor grado de aportación de las disciplinas por separado posibilitando dos eventos, uno la interrupción o la restricción a la transdisciplinariedad, lo que conduce al desarrollo de productos modulares con separaciones marcadas en las partes que los constituyen; es decir, que se pierda el verdadero grado de innovación tecnológica; por otra parte, las tensiones entre las disciplinas provocan el dialogo y el trabajo desde las fronteras del conocimiento persuadiendo a traslapar conceptos y metodologías propios de las disciplinas que posibilitan la generación de nuevos conceptos y nuevas áreas de conocimiento para desarrollo de ciencias de la ingeniería, diseños y productos mecatrónicos.
Eliminación de la contaminación por el bosque urbano en Las Palmas, Colima, México
Authors: Vázquez Arceo Sunashi Elizabeth , Ramírez Rivera María del Pilar , Arceo Díaz Santiago , Solís Enríquez J. Jesús
Published: March 2023

El presente estudio tuvo como objetivo identificar especies y ejemplares relevantes para la mejora de la calidad del aire en la colonia Las Palmas, en la ciudad de Colima, Colima, México. Para obtener los resultados de cantidad de contaminación del aire eliminada y emitida por especie fue necesario inventariar a los ejemplares de árboles y otras plantas leñosas localizados en espacios públicos del fraccionamiento que cumplieran con un diámetro a la altura del pecho igual o mayor a 2.54 cm, para posteriormente procesar sus datos dasométricos con el software i-Tree Eco v.6.0. De los 1087 ejemplares inventariados se extrajo una submuestra de especies a partir de dos condicionantes: aquellas especies que cuenten con 25 individuos o más y, en el caso de especies con menos de 25 ejemplares, aquellos que, de acuerdo con las estimaciones de i-Tree Eco, muestren la mayor absorción de contaminantes o la mayor emisión de compuestos orgánicos volátiles. Se encontró que el bosque urbano eliminó 214.34 kg de contaminantes en el aire y generó 123.80 kg de bioemisiones de compuestos orgánicos volátiles. En este ámbito se destacan las aportaciones de las especies nativas: parota (Enterolobium cyclocarpum), higueras (Ficus spp.), guamúchil (Pithecellobium dulce), rosamorada (Tabebuia rosea) y mandimbo (Ehretia tinifolia); e introducidas: ficus (Ficus benjamina), mango (Mangifera indica) y tabachín (Delonix regia).
PRESERVATION OF THE HISTORICAL PART OF THE CITY OF BELGOROD AS A CULTURAL AND HISTORICAL HERITAGE OF THE REGION
Authors: VOVZHENYAK POLINA
Published: March 2023

One of the main priorities of urban development programs of our time is the preservation and regeneration of cultural heritage. The process of preserving historical territories in the city center is an effective solution to strategic urban development tasks that can affect neighboring territories. Most of the territories of the Belgorod OCN are now located in the central part of the city and occupy a significant part of its territory. In the future of development, it is possible to create open-air museums with the creation of new public spaces. The analysis of the means of application and world experience of the modern process of museification of the historical part of the city is carried out. The main qualities that historical buildings should have in modern use in order to achieve a high level of comfort are determined. The existing system of the historical center of the city of Belgorod and its elements in the form of historical and architectural monuments is analyzed. An urban planning analysis of the location of the last Belgorod fortress in the historical center of the city was carried out. The factors that influence the definition of the subject area of projects for the transformation of historical territories are identified: external (social, environmental, urban planning, security and rehabilitation) and internal (economic, planning, constructive, aesthetic). The concept of the conservation project proposal should be based on a comprehensive museification of historical and cultural heritage objects located within the boundaries of the territory of the historical center of the city.
TECHNOSPHERE OF THE XXI CENTURY AND HUMANITARIAN ASPECTS OF ENGINEERING EDUCATION
Authors: Kolin Konstantin
Published: March 2023

The analysis of the main trends in the transformation of the technosphere of modern civilization, which manifest themselves in the XXI century as a result of the rapid development of the scientific and technological revolution and man-made human activity. It is shown that these trends pose a global threat to the further development of civilization. If these trends persist in the future, humanity may perish as a result of the destruction of vital ecosystems of the planet and the global ecological crisis, which is rapidly growing. It is expected that it will reach its apogee in the middle of the XXI century. The transformation of the information sphere entails deep destructive changes in the social, psycho-logical and intellectual qualities of the individual. And it is also a new threat to global security. The article shows the negative impact on people of modern high rates of transformation of the technosphere. It causes them to feel fear of the future, which is approaching too quickly. The forecast of the dynamics of the main components of the techno-sphere for the period up to 2050 is presented. It is shown that the most rapid and radical changes occur in the infor-mation sphere of society. A new habitat forms a new person, changes his psychological, social and physiological properties and qualities. If this process continues to be carried out uncontrollably, then in the second half of the XXI century, humanity may become like a global anthill. People's lives in it will be strictly regulated, and their own intelligence will be lost. The article raises the problem of moral responsibility of engineers for the humanitarian consequences of their professional activities. To solve it, it is necessary to increase the level of modern humanitarian knowledge among representatives of the engineering corps of Russia.
DIMENSIONALITY REDUCTION BASED CLASSIFICATION USING GENERATIVE ADVERSARIAL NETWORKS DATASET GENERATION
Authors: Gopal Narendra , D Sivakumar
Published: March 2023

The term data augmentation refers to an approach that can be used to prevent overfitting in the training dataset, which is where the issue first manifests itself. This is based on the assumption that extra datasets can be improved by include new information that is of use. It is feasible to create an artificially larger training dataset by utilizing methods such as data warping and oversampling. This will allow for the creation of more accurate models. This idea is demonstrated through the application of a variety of different methods, some of which include neural style transfer, adversarial training, and erasure by random erasure, amongst others. By utilizing oversampling augmentations, it is feasible to create synthetic instances that can be incorporated into the training data. This is made possible by the generation of synthetic instances. There are numerous illustrations of this, including image merging, feature space enhancements, and generative adversarial networks, to name a few (GANs). In this paper, we aim to provide evidence that a Generative Adversarial Network can be used to convert regular images into Hyper Spectral Images (HSI). The purpose of the model is to generate data by including a certain amount of unpredictable noise.
How Involvement in COVID-19-Related Work Changed Nurses' Job Demands, Job Resources, and Their Associations with Burnout: Evidence from China <a class="tippyShow" data-tippy-arrow="true" data-tippy-content="The results reported in this paper come from the dissertation of the first author, a master graduated from Iscte-IUL (Instituto Universitário de Lisboa) and SMU (Southern Medical University, China) program. An earlier version of this paper was accepted for presentation at the 2023 IACMR Conference on June 14-18, 2023 in Hong Kong, China." data-tippy-interactive="true" data-tippy-theme="light-border" style="cursor:pointer">1
Authors: Wang Xiaohui , Ma Shaozhuang , Liao Wenyu
Published: March 2023

China adopted a “Zero-COVID” policy for nearly three years, making Chinese healthcare workers constantly involved in COVID-19-related work. However, little is known about how involvement in COVID-19-related work shaped Chinese nurses’ burnout. This study explores how nurses’ job demands and job resources are associated with their burnout by considering high and low frequent involvements in COVID-19-related work in China. This study employed a cross-sessional design. Guided by Job Demands-Resources (JDR) model, we developed hypotheses and tested them using regression analysis with a sample of 336 nurses working in four public hospitals in Guangdong, China. Overall sample results revealed: 1) frequency of involvement in COVID-19-related work was related to a higher level of workload; 2) nurses’ burnout was positively associated with workload, emotional demands, and work-family conflict, and negatively associated with a relationship with supervisor, remuneration, and independence of work; 3) emotional intelligence mitigated the positive relationship between workload and burnout. Comparison analysis showed significant differences due to the frequency of involvement in COVID-19 work. In the high-frequency group (N = 108), 1) emotional demands were related to a higher level of burnout, and emotional intelligence moderately accentuates the positive relationship between the two variables; 2) remuneration was related to a lower level of burnout; 3) nurses reported higher levels of workload and relationship with the supervisor. In the low-frequency group (N = 147), independence of work was related to a lower level of burnout; We found some evidence that nurses’ job demands and job resources and their associations with burnout differed due to their frequency of involvement in COVID-19-related work. Implications for policy-making and theoretical contribution are discussed.
Limitations of Load Balancing and Performance Analysis Processes and Algorithms in Cloud Computing
Authors: Kanbar Asan Baker , Faraj Kamaran
Published: March 2023

In the modern IT industry, cloud computing is a cutting-edge technology. Since it faces various challenges, the most significant problem of cloud computing is load balancing, which degrades the performance of the computing resources. In earlier research studies, the management of the workload to address all resource allocation challenges that caused by the participation of a large number of users has received important attention. When several people are attempting to access a given web application at once, managing all of those users becomes exceedingly difficult. One of the elements affecting the performance stability of cloud computing is load balancing. This article evaluates and discusses load balancing, the drawbacks of the numerous methods that have been suggested to distribute load among nodes, and the variables that are taken into account when determining the best load balancing algorithm.
Boletín de indicadores en ciencia, tecnología e innovación del Sistema Nacional de Innovación Agropecuaria (SNIA) 2018
Authors:   Ministerio de Agricultura y Desarrollo Rural, Bogotá (Colombia),   Corporación Colombiana de Investigación Agropecuaria, Mosquera (Colombia),   Observatorio de Ciencia, Tecnología e Innovación (CTeI) del SNIA, Bogotá (Colombia)
Published: March 2023

Este boletín presenta información recolectada a través de la “Encuesta Nacional de Ciencia, Tecnología e Innovación del Sistema Nacional Agropecuaria” y otras fuentes, con el fin de mostrar un panorama de la ciencia, la tecnología y la innovación.
Berenjena C015 variedad Corpoica
Authors:   ‎‎Corporación colombiana de investigación agropecuaria, Mosquera (Colombia)
Published: March 2023

La variedad de berenjena C015, fue obtenida de una colecta realizada en fincas de productores del Caribe Colombiano, específicamente en el Valle del Sinú, Sabanas Colindadas de Córdoba, Sucre y Bolívar, y Zona Bananera del Magdalena. Se caracteriza por tener frutos alargados de color lila, con rendimiento promedio de 31,43 t/ha y 15 frutos promedio por planta.
On the Legal Person Personality Denial System
Authors: Jingbo Niu
Published: March 2023

Company personality independence and shareholders limited liability is the basic principles of the company law, legal person personality denial system is the company personality independence and shareholders limited liability exceptions, legal person personality denial system stipulates the abuse of company legal person independent status and shareholders limited liability shareholders bear joint and several liability for the company’s debt, the responsibility of the system does not involve the actual control of the company. But in reality, no matter what the size or nature of the company, the emergence of the actual controllers is always inevitable and commonplace. The actual controller of the company is not a shareholder of the company in small and medium-sized enterprises, but they often use their dominant position to abuse the independent status of the company and infringe the interests of creditors. Usually, the practice is to control the company through other shareholders in the form of capital contribution or manipulate the company in other ways. In view of the prominent problem that the actual controller abusing the independent status of legal person infringes on the interests of creditors in practice, it is necessary to summarize the judicial practice experience to strengthen the responsibility of the actual controller. Whether the legal personality denial system as the basis of the judgment is applicable to the actual controller is worth thinking and studying.
Bank offered rate based on Artificial Intelligence
Authors: Prabha Lakshmi , T Karthikeyan. , P Sasikumar. , D Mohanraj.
Published: March 2023

The rise of event streaming in financial services is growing like crazy. Continuous real-time data integration and AI processing are mandatory for many use cases. Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
A kind of characterization of homeomorphism and homeomorphic spaces by Core fundamental groupoid: a good invariant
Authors: Badiger Chidanand , Venkatesh T.
Published: March 2023

In this paper, we give a new topological invariant and a kind of characterization to homeomorphisms. We introduce this topological invariant by constructing an algebraic kind of groupoid structure to each topological space, which is an extension of the concept of fundamental groups. This construction we call it “Core fundamental groupoid” and it is different from the fundamental groupoid as in the book and articles of Ronald Brown [30, 31]. Moreover, both groupoid notions are not equivalent, but, it will be a wide subgroupoid of the fundamental groupoid in category-theoretic. In the entire paper, we consider groupoid in the algebraic sense. First, we discuss basic properties of the Core fundamental groupoid and their significant importance in topological invariants. Further, we separately present the Core fundamental groupoid as an algebraic structure and a topo-algebraic structure and investigate their properties separately. We have an explicit description of both the algebraic structure of the groupoid and a unique topological structure of Core fundamental groupoid. Besides, we give a kind of characterization of homeomorphisms in terms of an invariant that we have obtained, i.e., “f : M → N is a homeomorphism if and only if f# 1M → 1N is a topological groupoid isomorphism”. This result addresses the open problem stated in [1, 19, 24, 26] and also gives a kind of characterization for homeomorphic spaces, but, computationally it seems difficult and it becomes sometimes trivial when intact with topology. Induced groupoid homomorphism, induced base map, topological and smooth structure on the Core fundamental groupoid, homotopic properties of induced groupoid homomorphisms of continuous maps and topological groupoid homomorphism-related properties of induced groupoid homomorphisms are discussed. We also present the relation of homotopy type on Core fundamental groupoid.
A remark about mirror symmetry of elliptic curves and generalized complex geometry
Authors: Grama Lino , Soriani Leonardo
Published: March 2023

In this short note we describe the isomorphism of generalized complex structure between T-dual manifolds introduced by Cavalcanti-Gualtieri, in the case of elliptic curves. We also compare this isomorphism with the mirror map for elliptic curves described by Polishchuk and Zaslow.
Sustainability of a system of two competing prey and a predator in polluted environment
Authors: Lawaniya Pinky , Sinha Soumya , Kumar Ravinder
Published: March 2023

In this study, a general model of interacting species consisting of two competing prey and a predator under the presence of pollution is formed. Criteria for the existence of equilibria and their (local and global) stability are derived. The conditions for persistence and bifurcation have also been derived. With the help of numerical simulation, it is shown how the change in the pollution level results in species extinction.
Design and Fabrication of Autonomous Forklift
Authors: Bhuvaneswari M.
Published: March 2023

Abstract: Material handling is an important activity in factories that will be performed at a lower cost. The use of autonomous robots has the potential to reduce costs while also relieving humans of the physically demanding task of driving forklifts. This paper proposes a mechatronics design and implementation of an autonomous forklift.This paper takes a new look at autonomous forklifts in industrial settings. The proposed system employs advanced perception and control algorithms to enable unmanned operation in dynamic environments. The system employs a combination of sensors and motors to provide accurate situational awareness and obstacle avoidance. The proposed solution aims to increase work efficiency, enhance safety, and minimize the need for human intervention. The experimental results demonstrate that the system is capable of performing complex tasks such as pallet loading and unloading with precision and dependability. By increasing productivity, lowering costs, and improving workplace safety, the proposed model has the potential to have a significant impact on the material handling industry.
Multi-layer Anti-Theft System with an Intruder System
Authors: Najbile Rakshit , Rawalani Twinkle , Panda Vedant , Mishra Pratyush , Deshpande Dr. Prasanna
Published: March 2023

Abstract: People are more concerned about the safety of their valuables like jewelry, money, important documents, etc. which is why safe deposit boxes are the safest place to keep them. The advent of rapidly growing technologies enables users to operate high security systems with electronic identification options. In this work, a design of a multilayer security system is proposed. The safety concern parameters like user password, RF identification, and fingerprint recognition, use of one time password and a motion detection and alert system are in place. An email notification of the motion detection image near the safe may also be received by a user. Our system may be considered as a useful multi layered security anti-theft product.
Application of Smart Bag Using Arduino
Authors: Narute Vidya , Khare Madhuja , Jain Hardik , Tawde Vaibhav , Zade Sandip
Published: March 2023

Abstract: In our day-after-day life traveling has become one of the necessary aspects of a person’s being. usually for traveling purpose individuals uses normal traditional bags or luggage however in today’s world such sort of bag doesn’t seem to be safe for the security purpose of reading. With the speedy advancement of technology within smartphones, laptops, and many similar devices, our dependency on them has drastically become hyperbolic. Traveling persons are facing several safety issues for luggage today. Thus, they feel unfit in such cases and want facilities to shield themselves. All electronic inventions aim to reduce the manual effort required for mechanical tasks and establish a seamless interaction between humans and machines. Here we tend to introduce a device that ensures the protection of baggage in a bag. The micro-controller, which is the brain of the system, will manage all the distinctive features of the projected system. Additionally, the solar panel located on the front part of the bag can be used to charge electronic devices such as mobile phones, laptops, and power banks. RFID automation is automated to solve the forgetting fullness to pack the desired things. A bag tracking system can inform you wherever your bag is and wherever it’s been, however long it has been. Ultrasonic sensors area unit accustomed to creating a human following system to create a bag that follows its owner. The system uses geographic position and time data from the GPS Module which can track the bag employing a Mobile application. During this bag at intervals a little platform, all the facilities area unit enforced along expeditiously. So, the Smart bag is associated application-specific specific type that may be helpful for pretty much everybody in society