bluuebunny/crossref_metadata_2025 huggingface dataset:
Sequence polymorphism within erythrocyte binding domain of EBA175 in Indian and African field isolates
Authors: Sharma Monal , Singh Shailja
Published: March 2023

Invasion of erythrocyte by Plasmodium merozoites is mediated by specific molecular interactions between proteins expressed on merozoite surface and the receptors present on erythrocytes. Erythrocyte binding antigen 175 (EBA175) is one such protein that interacts with the sialic acid residues on glycophorin A present on erythrocytes’ surface during invasion. The FII region (PfFII) of EBA175 has been mapped to be critical for binding to erythrocytes. It is reported that antibodies against FII region blocks binding. Polymorphisms in FII region of EBA175 are already reported. The goal of this study was to investigate whether polymorphism in FII region of African P. falciparum field isolates has any effect on erythrocyte binding and also to find whether antibodies raised against FII region from P. falciparum Malayan Camp strain (Camp) can inhibit erythrocyte binding. Genomic DNA of parasites from the blood samples of P. falciparum infected individuals was isolated and PfFII region from these genomic DNA were amplified, cloned and sequenced. Following sequence analysis, we selected three isolates harboring higher PfFII polymorphisms, expressed them on the surface of COS cells as chimeric proteins using secretory signal and transmembrane segments of Herpex simplex virus glycoprotein D (HSVg D) and tested for their erythrocyte binding ability. We further tested the inhibition of erythrocyte binding of these polymorphic FII regions using anti-campPfF2 antibodies. Our results reveal that the polymorphisms in different field isolates included in this study do not have any significant effect on erythrocyte binding and antibodies raised against FII region of camp strain could inhibit erythrocyte binding by all the polymorphic PfFII. This observation strengthens the possibility that PfFII can be a potential candidate vaccine.
Análisis de la producción y comercialización de banano en la provincia de El Oro en el periodo 2018-2022
Authors: León Ajila Josué Paúl , Espinosa Aguilar Marco Antonio , Carvajal Romero Héctor Ramiro , Quezada Campoverde Jesica
Published: March 2023

El banano ocupa la posición número cuatro como alimento más importante en el planeta, donde Ecuador destaca como el principal exportador en el mundo cubriendo en un 29% el mercado internacional. La presente se plantea como objetivo analizar la producción y comercialización de banano en la provincia de El Oro en el periodo 2018-2022 y su contribución a la economía nacional. El  tipo de investigación es de enfoque descriptivo, lo que permitió recopilar información relevante acerca de los datos históricos de la evolución de las exportaciones de banano. Las exportaciones de banano son el eje fundamental de la económica ecuatoriana en términos de valor bruto de producción después del cacao, el camarón y el café. En los últimos 5 años las exportaciones de banano decrecieron producto de la pandemia Covid-19, así como por los conflictos de la geopolítica internacional, aunque  la economía se estableció con un crecimiento constante para el año 2021, se exportaron 6411,92 t obteniendo ingreso FOB de $ 3.181.532, mientras que para el año 2022 las exportaciones fueron de 6025,10 t logrando ingresos de $ 3.124.220 FOB, lo que significó un decreciente del -1,8% tanto en las exportaciones como en los ingresos de divisas generados. Cabe destacar que la producción y comercialización de banano, contribuye de forma significativa a la economía del país, proporcionando ingresos y empleo a las familias rurales que se dedican a esta actividad de subsistencia.
Comparación de tensiones y desplazamientos entre mini-implantes de acero y titanio insertados con diferentes angulaciones: análisis de elementos finitos
Authors: Magaña Lamas Ana Gabriela , Martínez Zumarán Alan , Zavala Alonso Norma Verónica , -Armass Cappello Oscar Sánchez , Cárdenas Gylmar Mariel , González García Enrique , Salas Orozco Marco Felipe
Published: March 2023

Objectivo: El objetivo de este estudio fue evaluar cuantitativamente las tensiones y desplazamientos de los mini-implantes de acero y titanio insertados bajo diferentes ángulos y aplicando una fuerza de retractación. Materiales y métodos: Se creó un modelo CAD del mini-implante de la marca TD Orthodontics. Posteriormente, se asignaron las características de los materiales a evaluar (acero o aleación de titanio). Se utilizó el software SolidWorks para hacer la malla de los modelos de mini-implante y hueso, y así realizar el análisis de elementos finitos en los mini-implantes con ángulos de inserción de 30°, 60°, 90° y se aplicó una fuerza de retracción ortodóncica simulada de 2 N en cada uno de estos modelos de elementos finitos. Resultados: En cuanto al estrés máximo de von Mises, observamos que parece no haber una diferencia significativa entre los mini-implantes de acero y de titanio en las angulaciones evaluadas. En cuanto al desplazamiento, los mini-implantes de titanio en general sufrieron mayor desplazamiento en las tres angulaciones evaluadas en comparación con los mini implantes de acero inoxidable.
Fistula Arteriovenosa Congénita de Brazo Derecho en paciente masculino de 3 años con resolución quirúrgica. Informe de Caso
Authors: Alvarez Saltos Miguel David , Pérez Landázuri Tatiana Del Rosario , Vallejo Paccha Tatiana Lizbeth , Ríos Moreira Janina Margarita , Ocampo Bastidas Anabelle del Carmen
Published: March 2023

Introducción: Se entiende como fístula arteriovenosa a una comunicación anormal que se produce entre las arterias y las venas.  Las fístulas arteriovenosas pueden ser congénitas o adquiridas durante la vida. Sin embargo, en la presente investigación se analiza la fístula arteriovenosa desarrollada como congénita con antecedentes desde hace 2 años de masa pulsátil a nivel anterior de pliegue de codo del brazo derecho.

Objetivo general: Presentación de un caso clínico de Paciente masculino de 3 años que presenta cuadro de 2 años de evolución caracterizado por cianosis peribucal al esfuerzo físico que se acompaña de masa pulsátil a nivel anterior de pliegue del codo derecho compatible con fistula arteriovenosa congénita.

Conclusiones: Paciente masculino de 3 años sin antecedentes de importancia que acude a la emergencia por presentar cuadro de 2 años de evolución caracterizado por cianosis peribucal al esfuerzo físico que se acompaña de masa pulsátil a nivel anterior de pliegue del codo derecho donde se diagnostica fistula arteriovenosa congénita la cual requiere de resolución quirúrgica
La función Administrativa del Docente Universitario apoyados en las tecnologías de la información y comunicación del Instituto de Admisión y Nivelación de la Universidad Técnica de Manabí, Ecuador
Authors: Toala Bazurto Zoyla Leonor , Mendoza Ledesma Néstor Vicente , Santana Sardi Gregorio Alexis , Espinoza Cedeño María José , Santana Sardi Gustavo Adolfo
Published: March 2023

La docencia universitaria exige una formación y especialización académica de calidad, acorde a las necesidades de aprendizaje de la sociedad. El presente artículo tuvo como propósito conocer la Función Administrativa del Docente Universitario apoyados en las Tecnologías de la Información y Comunicación en el Instituto de Admisión y Nivelación, para ello la investigación se fundamentó de revisión bibliográfica en el paradigma interpretativo, enfoque cualitativo y exploratoria, y la postura epistemológica que partió de la concepción del conocimiento como una construcción social. Se estableció una aproximación teórica a partir de los resultados revelados de las voces de los actores sociales, y categóricamente en combinación con la teoría se evidenció la necesidad imperante de estar capacitados, tanto los docentes como la población estudiantil, mantenerse en constante aprendizaje y actualizar las bases del conocimiento en relación con el manejo de estudiantes con diversidad funcional.
Yerel Arama Bölümü Güncellenmiş Arı Algoritması ile Gezgin Satıcı Problemi Optimizasyonu
Authors: ŞAHİN Murat
Published: March 2023

Klasik optimizasyon yöntemleri ile çok sayıda bağlantıya sahip gezgin satıcı problemlerinin çözülebilmesi zordur. Bu kapsamda, aramalarını optimum bir çözüme yönlendiren meta-sezgisel algoritmalar tercih edilmektedir. Bu çalışmada, bu meta-sezgisel algoritmalardan biri olan ve bal arılarının yiyecek arama yöntemlerinden esinlenerek geliştirilen Arı Algoritması incelenmiştir. Çalışmanın amacı, Arı Algoritmasının gezgin satıcı problemlerinin çözümüne yönelik etkinliğinin artırılmasıdır. Klasik Arı Algoritması içerisine Değişken Çoklu Ekleme operatörü eklenmiş ve yakın komşuluk bölgeleri içerisinde arama yapılarak, farklı gezgin satıcı problemleri için testler yapılmıştır. Yapılan testler sonucunda bu algoritma ile literatürdeki diğer Arı Algoritmalarına göre çok daha iyi sonuçlar elde edildiği görülmüştür. Geliştirilen algoritma ile 100 şehirlik problemlerde sapma değerleri %1,40-2,80 aralığından %0,11-0,50 aralığına ve 200 şehirlik problemlerde de %8,10-9,67 aralığından %2.00-2,79 aralığına indirildiği gözlemlenmiştir.
Virtue Ethics as a Model for Addressing Moral Decline in Ghana
Authors: Anderson George , Inusah Husein
Published: March 2023

Every culture espouses distinct moral values systems which serve as the blueprints guiding behaviours of members of a society. Ghana as a country has a rich moral value system that shapes its citizens’ worldviews and informs the way they relate with other human beings. A reflection on, past moral values of Ghanaian societies, however, reveals a moral deficit. This situation throws up the following crucial questions. What is the future of Ghanaian societies given the current state of moral decadence? What can be done to salvage the present state of moral decadence? The paper is approached qualitatively, using interviews, and proposes a significant return to moral virtues where societies will have to teach and ensure that the young ones practice moral values through examples of virtuous living.

Keywords: Ghana, Sustainable Future, Moral Decadence, Moral Values, Virtue Ethics.
Impact of Code-Switching in Learning and Teaching of Mathematics: A South African Perspective
Authors: Malindi Zwelivumile , Gobingca Berington Zanoxolo , Ndebele Clever
Published: March 2023

This paper examines the impact of code-switching on the learning and teaching of Mathematics. The research was conducted in selected primary schools in O.R. Tambo Inland Education District in the Eastern Cape Province of South Africa. The researchers adopted a case-study research design. Four focus groups, each represented by six members, were used during data collection through semi-structured focus group interviews conducted face-to-face. Two groups were from rural-based schools and two groups were selected from urban-based schools. Purposive sampling was used to select participants with a focus on Mathematics grade six (6) teachers. The results show that code-switching is inevitable in teaching learners whose first or mother tongue is not English language when English language is used as the language of learning and teaching (LoLT). Secondly, code-switching is a useful and effective learning and teaching strategy for grade six (6) learners in Mathematics. The study recommends that teacher trainees should be introduced to a minimum of three (3) languages during their training in the teaching profession. In addition to making code-switching acceptable and official, Mathematics teachers should use it as a learning and teaching method or strategy.

Keywords: Bilingualism, Code-switching, Learner Competence, Multi-cultural Classrooms
Legacy Letters Written by Oncology Nurse Residents: Post Hoc Poetic Inquiry
Authors: Mason Tina M. , Kronenfeld Janelle
Published: March 2023

Background:

A qualitative analysis of Legacy Letters written by oncology nurse residents to future nurse residents on what they wish they knew and what they learned at the end of their 1-year residency program showed four themes. This article presents a poetic inquiry of select themes/subthemes, providing a new perspective on the findings.

Method:

Post hoc poetic inquiry of select subthemes/themes from a previously conducted qualitative nursing research study on nurse residents' Legacy Letters was conducted using a collective participant voice approach.

Results:

Three poems were created. A sample quote by an oncology nurse resident and an explanation of the relationship of the poem to the Legacy Letters are provided.

Conclusion:

These poems represent a larger theme of resilience. Learning from mistakes, dealing with emotions, and providing self-care embody the experience and adaptation of the oncology nurse residents to this year of transition from graduation to professional practice.

[
J Contin Educ Nurs.
2023;54(3):117–120.]
The Impact of Community Learning During a Participatory Nursing Research Project
Authors: Heemskerk Wendy M. , Renden Peter G. , Warning Talitha D. , Wallner Christian , Bussemaker Jet , Dikken Jeroen
Published: March 2023

Background:

Community learning is one approach to promote research competencies and to involve nurses and nursing students in research. This study examines the impact of community learning according to participants—both those inside and outside the community—in a joint nursing research project at a hospital.

Method:

A qualitative design was selected using a participatory approach. Data were collected through semistructured interviews, reflections, conversations, and patient input during 2 academic years.

Results:

Thematic analysis showed 11 themes, which were organized into three clusters: realization, transformation, and influencing factors. Participants perceived changes in practice and described how their perspectives have changed on care, education, and research. Reconsiderations led to some new or revised strategies, and influencing factors were associated with the contemporary context, degree of involvement, and design/facilitation.

Conclusion:

The impact of community learning emerged and extended beyond community boundaries, and the indicated influencing factors must be taken into account.

[
J Contin Educ Nurs.
2023;54(3):131–144.]
Cultural Issues in the Management of Depression Among Chinese Americans
Authors: Yeung Albert , Cetinkaya Doga , Mischoulon David
Published: March 2023

Culture affects the concept of mood disorders and how anxiety and depression are expressed. To adequately recognize depression in diverse populations and provide culturally sensitive treatment, it is necessary to understand patients' illness beliefs, which comprise their understanding of the onset of illness, its cause, severity, impact, and appropriate treatment. Clinicians who understand a patient's illness beliefs are able to discuss medical management in a way the patient can comprehend. This article discusses illness beliefs of Chinese Americans with depression and the current treatment gap, a systematic approach to improve recognition and treatment engagement, and considerations and adaptations needed when providing psychological and pharmacological treatment to these patients.

[
Psychiatr Ann
. 2023;53(3):111–116.]
Management of Depression in Black People: Effects of Cultural Issues
Authors: Pederson Aderonke Bamgbose
Published: March 2023

Black people are disproportionately affected by mental illness, including depression. While the prevalence of depression is paradoxically lower in the Black population, the impact of depression on Black people results in greater severity of illness and higher chronicity. The main factors through which Black people experience worse mental health outcomes includes delayed treatment seeking and poor access to mental health services. Mental illness stigma (ie, negative attitudes, beliefs, or behaviors about a particular characteristic) contributes to delayed treatment seeking. Both patients and mental health professionals experience stigma that affects health engagement, limits access to effective depression treatments, and compromises positive patient-clinician communication. A commitment to lifelong learning about the role of culture, history, and the psychosocial context of our patients is critical to closing gaps in the field of mental health.

[
Psychiatr Ann
. 2023;53(3):122–125.]
Power Analysis for High Dimensional Neuroimaging Studies
Authors: Bhaumik Dulal K. , Song Yuanbo , Yen Pei-Shan , Ajilore Olusola A.
Published: March 2023

This article considers the problem of sample size determination for power analysis of neuroimaging studies involving multiple comparisons. High dimensional neuroimaging data arise naturally in the context of developing biomarkers for patients with neurological disorders. The standard methodology for power analysis cannot be used or extended in such cases because multiple comparisons involving high dimensional data are more complex and require more parametric information, rather than simply providing the effect size that often plays the vital role in a traditional power analysis problem. This article introduces concepts such as varying effect size and discrimination of null and non-null distributions, while exploring the complexity of relevant data. It systematically develops a sample size determination approach that has a simple interpretation and satisfies some desirable intuitive properties (eg, larger effect size requires a smaller sample, larger sample provides better power). Results are illustrated with a real data set.

[
Psychiatr Ann
. 2023;53(3):137–144.]
Iterative schemes for numerical reckoning of fixed points of new nonexpansive mappings with an application
Authors: Ullah Kifayat , Ahmad Junaid , Hammad Hasanen A. , George Reny
Published: March 2023

The goal of this manuscript is to introduce a new class of generalized nonexpansive operators, called $ (\alpha, \beta, \gamma) $-nonexpansive mappings. Furthermore, some related properties of these mappings are investigated in a general Banach space. Moreover, the proposed operators utilized in the $ K $-iterative technique estimate the fixed point and examine its behavior. Also, two examples are provided to support our main results. The numerical results clearly show that the $ K $-iterative approach converges more quickly when used with this new class of operators. Ultimately, we used the $ K $-type iterative method to solve a variational inequality problem on a Hilbert space.
Qu’est-ce qu’une techno-image ?
Authors: Jacques Vincent
Published: March 2023

Cet article examine la question du déterminisme technique chez Flusser. Afin de comprendre la nature de ce déterminisme, il s’agira d’analyser en détails les concepts d’image technique (techno-image) et d’appareil. En retraçant le passage de l’époque des machines à celle des appareils, on verra la relation que pose le philosophe entre développement technique et rapport au monde. On cherchera ainsi à définir ce que signifie vivre dans un système d’organisation en réseau des appareils. Une question existentielle qui touche aussi bien à notre mode d’être collectif qu’au sens d’un savoir produit de plus en plus automatiquement par la techno-science d’aujourd’hui. Comme parade aux menaces d’un monde technique automatisé, le philosophe développe le concept de techno-imagination dont on analysera finalement les tenants et les aboutissants.
Katherine Anne Porter’s Mexico
Authors: Bailey Cheylan Alice
Published: March 2023

Katherine Anne Porter travelled and lived in Mexico four different times between 1920 and 1930. Her experience in Mexico left an indelible trace on her writing. It was in her adoptive country that she gathered material for her future short stories. Writing non-fiction articles for both Mexican and American periodicals, she began to experiment with different narrative techniques, which she would later use in her fiction. Weaving fact with fiction, she created her own very unique form of storytelling. This short study will concentrate on some of the short non-fiction articles and book reviews written during her time in Mexico, and demonstrate that she was already working on the narrative techniques, which would later be developed in her short stories.
L’An 5865 ou Paris dans quatre mille ans (1865). Hippolyte Mettais, un pionnier dans le champ décolonial ?
Authors: Lévêque Laure
Published: March 2023

Si les années 1880 allaient être, pour la France comme pour les autres puissances, celles d’une colonisation pratiquée à grande échelle que ses partisans interprètent comme un regain de grandeur culminant dans le mythe de la Plus Grande France, exerçant son droit d’inventaire, la littérature livre à cet égard un constat plus critique, et ce, dès avant ces années charnières. C’est le cas d’un roman méconnu d’Hippolyte Mettais, L’An 5865 ou Paris dans quatre mille ans, qui tend à la France un miroir inversé. Par le biais du genre de l’anticipation, il inverse aussi le sens de l’aventure coloniale, provincialisant la Grande Nation et rebattant totalement les cartes de la géopolitique en un geste qui revêt une très nette valeur heuristique.
Antoine-Laurent de Jussieu (1748-1836)
Authors: Geneix Gilles
Published: March 2023

Le 4 août 1789, jour de l’abolition en France des droits féodaux et des privilèges, Antoine-Laurent de Jussieu publie le Genera Plantarum. Ce livre, rédigé en latin et jamais traduit, constitue son grand-œuvre, lentement construit durant une quinzaine d’années d’examen détaillé et systématique de l’ensemble des plantes et des matériaux naturalistes auxquels il a accès en tant que professeur de botanique au Jardin du roi. Point d’évolution majeur d’un siècle de recherches et de controverses sur la classification du monde végétal, il préparera le mouvement européen de synthèse et d’intégration de la mise en ordre du vivant avec la science qui en étudie le fonctionnement.Cette biographie d’Antoine-Laurent de Jussieu propose de saisir le médecin botaniste en interaction avec le monde et ses semblables, de cerner sa pensée en train de s’élaborer, de retracer son cheminement scientifique, sa socialisation progressive, et d’identifier les ressources techniques, épistémologiques et sociales qu’il mobilise pour sa production savante et ses interventions dans le champ naturaliste. Au-delà de l’histoire de vie du savant, Gilles Geneix trace également, et peut-être avant tout, la biographie d’un livre : celle de sa formation, de son environnement, de ses parentés, de son autorité, de sa vie et de son effacement, et de l’héritage qu’il a laissé.Cette étude des productions et des pratiques de savants, qu’ils se disent botanophiles, botanistes, naturalistes, physiciens, chimistes, physiologistes, médecins ou philosophes, compose une forme d’histoire de la botanique européenne au moment où elle se constitue comme science globale du végétal, à partir d’un archipel de savoirs issus principalement de la philosophie naturelle, de l’histoire naturelle et de la médecine.En complément, sont proposées les premières traductions du Prologue et de l’Introduction du Genera Plantarum, ainsi que de la thèse de médecine de Jussieu de 1770.
Effect of Menstrual Distress on Interpersonal Relationships, School Absenteeism, Work Productivity, and Academic Performance
Authors: Sathiyaseelan Anuradha , Patangia Bishal , Chaudhury Soumonetra , Jariwala Dattavi
Published: March 2023

Women's health has always been one of the major research areas to identify health patterns to understand the challenges women face and to provide essential support. As time changes, various new challenges and issues emerge around menstrual distress. More research is still needed to identify efficient physiological and psychological support strategies. The current chapter provides a detailed insight into how menstrual pain affects a woman and girl's interpersonal relationships, school presence, peer relations, productivity at the workplace, and academic performance. Further, the chapter captures various literature evidence on the effect of cultural and religious factors affecting menstruation. The chapter also emphasizes providing strategies and mapping down existing policies that are in action to address the challenges women face due to menstrual distress.
Mindfulness-Based Cognitive Therapy for Coping with Premenstrual Syndrome Distress
Authors: Gupta Kavita , Parimal B. S. , Patel Ashok Kumar
Published: March 2023

Premenstrual syndrome is a physiological disorder that affects a woman's physical, emotional, and behavioural health and starts many days before menstrual bleeding begins. PMS is the abbreviation for premenstrual syndrome. PMS has been shown to have negative impacts on a woman's subjective and psychological well-being, leading to changes in her activities, incompatibility in marriage, and inappropriate behaviour with children. PMS symptoms are divided into two categories: physical and psychological. Feeling burdened, prone to stress, difficulties concentrating, decreased social contact, loneliness, performance impairment, substance abuse, angry outbursts, and death wishes are all examples of psychological conditions.
Menstruation Leave
Authors: Bhavsar Kesha Praful
Published: March 2023

On average, a woman spends 3,000 days of her life while menstruating. That is a lot of time to be on periods when you are already contending with other reproductive conditions that can cause heavy bleeding or might be severe painful periods. This study aims to know about the perception of male and females regarding the menstruation related symptoms effect on female employees' work productivity. Menstrual leave policy is a fundamental concept where a menstruating employee is allowed to take paid leave during their menstruation. The study revolves around the topic of the need for menstrual leave and its consequences according to male and female employees. In this study the researcher has explored the female perspective regarding the effect of menstruation on their work productivity. According to 96% of the female employees, their stress will reduce due to menstruation leave. According to 65% of the female employees, their productivity will improve due to menstruation leave. According to the 67% males, female employees' performance is less than usual due to menstruation.
A Review on Recent Trends in Quantum Computation Technology
Authors: V. Susindhar A. , Soni Gulshan , Tyagi Amit Kumar
Published: March 2023

Quantum technologies' processing capacity is built on quantum mechanics foundations, including superposition, the no-cloning theorem, and quantum entanglement. Quantum computing seeks to understand and embrace quantum effects, as well as techniques to improve and sustain them in order to achieve old computational goals in novel ways. It accomplishes this by utilising quintessentially quantum phenomena. We can't get equivalent findings using traditional computation because these processes don't have a classical analogue. There have been significant claims that quantum computers can surpass the Turing limit, however these assertions have been debunked. The Church-Turing thesis, which states that all realisable physical and dynamical systems cannot be more powerful than classical models of computation, has been the subject of numerous intensive attempts. However, quantum computing technologies' experimental insights have already been proved, and various studies are currently underway. In this article, the authors look at the most current quantum computation results and claims.
A Review on Quantum Deep Machine Learning Model for Predicting Rice Husk Ash Compressive Strength
Authors: Agboola Dorothy Blessing , Arowolo Micheal Olaolu , Tyagi Amit Kumar
Published: March 2023

Concrete formulation for qualities is difficult with advances in concrete science. Using rice husk ash as a partial substitute of cement is a strategy to lower the environmental impact worldwide. Compressive strength of concrete made with rice husk ash has not been reliably predicted; diverse quantum events in condensed matter and atomic physics may be traced back, however, their underlying mechanisms and their dynamical management remain elusive to researchers, while machine learning's task-solving abilities have shown potentials in the burgeoning computational machine learning for concrete mixture design. Reducing cement used in concrete can lessen the industry's environmental impact and boost efficiency. The expanding data volumes provide openings for cutting-edge machine learning data analysis methods. This study reviews prediction models for compressive strength of cement replacement concrete with rice husk ash using quantum deep machine learning algorithm models for experimental data on concrete's compressive and flexural strengths.
Internet of Things-Based Smart Traffic Light System for Hassle Free Movement of Emergency Vehicles
Authors: S. Muthurajkumar , V. K. Danush Gupta , Vijjappu Parvatheeswara Siddharth Gupta
Published: March 2023

Given the increasing number of vehicles on the road, the intensity of vehicular traffic in cities has tremendously increased. Because of the heavy traffic, there are often traffic delays on the roads, which can result in the loss of human life when emergency medical vehicles like ambulances and fire engines are stuck in the traffic jam. Traffic congestion is thought to be responsible for 30-35% of mortality in emergency situations, according to data compiled from various sources. In such conditions, it becomes essential that the traffic keeps flowing at a faster rate but in a smooth manner. The authors have devised a strategy to cut the amount of time an emergency vehicle spends at signal stops and the amount of manpower required at each traffic signal. The project's primary objective is to use IoT sensors to detect the arrival of emergency vehicles and reduce the time it takes for the vehicle to pass the traffic lights by favouring the lane in which the emergency vehicle is detected by turning traffic lights green to allow other vehicles in front to give way to the emergency vehicle.
Analysis of Airport Stakeholder Collaboration With AHP Method to Provide Safe Air Travel Adventure Through Digital Means to Disabled Passengers
Authors: Durmaz Vildan , Cingöz Kübra Nur
Published: March 2023

Air transportation demand increases all over the world every day, and airports have been serving more passengers. Furthermore, the number of passengers with disabilities who get service at the airport has been increasing recently. But the service which disabled passengers get is not enough, and these passengers are confronted with difficulties while using air transportation. The biggest issue these passengers face is not getting efficient guidance service and not benefiting from some right which other passengers do. Hence, this study aims to analyse collaboration of airport stakeholders to provide safe air transportation journey and reduce or remove difficulties for disabled passengers. The research is based on literature review, interviews with airport stakeholders, and analysis of these with AHP method.
Portugália Airlines
Authors: Quadros Rui , Abrantes Jorge , Barqueira Ana , Rodrigues Antonio
Published: March 2023

Of all the Portuguese private airlines that for many years competed with TAP Air Portugal (the Portuguese owned state airline) only Portugália Airlines (PGA) resisted the hegemony of the Portuguese flag carrier until it was bought by TAP itself. Portugália Airlines, a private airline, managed to maintain its operation, even against the power of the state company. This case study shows how PGA operated certain routes (here the Turin example, in Italy) as a survival strategy. The approach is exploratory and based on an observational description of facts. In view of the recent events caused by COVID 19, the pandemic has brought about a change in business models, also providing the warning that anyone who does not have a clear strategy, dies at birth. The case study leaves some interesting clues to explore.
Design of Software-Defined Network (SDN)-Enabled Network Infrastructure
Authors: Somwanshi Devendra Kumar
Published: March 2023

In this chapter, SDN is utilized as a unified answer for measuring the packet loss, memory optimization, and network delay. Presently, there is no single arrangement available to measure all the issues at once, but numerous different strategies are used. By using different strategies, separate frameworks are required, and it increases the establishments and cost. While these strategies are not the ideal solution, it is just an arrangement to give the solution of a particular issue. Besides, those techniques are not proficient to meet every one of the necessities for a checking arrangement—some are not exact or sufficiently granular, and others are adding extra organization burden or absence of versatility. Techniques have been proposed to find out the packet loss, memory optimization, and network delay. The ongoing checking of SDN Regulator framework is utilized, and it gives data and key execution markers for network. It assists with making an execution model for Regulator as a component of basic organization boundaries.
Generational Cohorts' Reactions
Authors: Pattuglia Simonetta , Amoroso Sara
Published: March 2023

The purpose of this study is to better understand the consumer behaviour, analysing the impact of brand authenticity on two main behavioural outcomes. The research aims also at finding out the behavioural differences of each generational cohort and to understand the effects on consumers' willingness to pay a premium price and on brand loyalty in the case of technological brands. The study follows a quantitative research design and uses a survey as a tool to collect data. The present work may suggest firms to be more targeted in their approach to create competitive advantage and strong relationships with their audiences. In present times, academics and practitioners must therefore recognize and take into consideration the differences across generational cohorts when studying and developing new marketing strategies.
An Improved Bat Algorithm With Time-Varying Wavelet Perturbations for Cloud Computing Resources Scheduling
Authors: Yu Fahong , Chen Meijia , Yu Bolin
Published: March 2023

Resources scheduling is a major challenge in cloud computing because of its ability to provide many on-demand information technology services according to needs of customers. In order to acquire the best balance between speed of operation, average response time, and integrated system utilization in the resource allocation process in cloud computing, an improved bat algorithm with time-varying wavelet perturbations was proposed. The algorithm provided a perturbation strategy of time-varying Morlet wavelet with the waving property to prevent from local optimum greatly and improve the converging speed and accuracy through the guide of individual distribution to control diversity and time-varying coefficient of wavelets. The experiments showed the proposed could significantly upgrade the overall performance and the capability of resource scheduling in cloud service compared to similar algorithms.
Mining Competitors and Finding Winning Plans Using Feature Scoring and Ranking-Based CMiner++ Algorithm
Authors: Sujatha T.  , Wilfred Blessing N. R.  , Palarimath Suresh
Published: March 2023

For a business to succeed, it is very important to make things speaking more to clients than to rivals. It is more critical to decide on the significant feature of an item which influences its competency. In spite of the works that have been done already, a few algorithms gained efficient solution. This paper proposes the CMiner++ Algorithm to assess the competitive relationship among items in unstructured dataset and finding the Top-K competitors of a given item. Definitively, the nature of the outcomes and the versatility of this methodology utilizing numerous datasets from various areas are assessed, and the efficiency and adaptability of this algorithm on various data sets are improved when compared to existing algorithms. In today's busy world, automatic recommendation systems are emerging because people are looking for the products best suited for them. So, it is very important to analyse the behaviour of people, make a review on large and large unstructured data sets, and make the fully automated deep learning system to ensure the accurate outcome.
Object-Assisted Question Featurization and Multi-CNN Image Feature Fusion for Visual Question Answering
Authors: Manmadhan Sruthy , Kovoor Binsu C.
Published: March 2023

Visual question answering (VQA) demands a meticulous and concurrent proficiency in image interpretation and natural language understanding to correctly answer the question about an image. The existing VQA solutions either focus only on improving the joint multi-modal embedding or on the fine-tuning of visual understanding through attention. This research, in contrast to the current trend, investigates the feasibility of an object-assisted language understanding strategy titled semantic object ranking (SOR) framework for VQA. The proposed system refines the natural language question representation with the help of detected visual objects. For multi-CNN image representation, the system employs canonical correlation analysis (CCA). The suggested model is assessed using accuracy and WUPS measures on the DAQUAR dataset. On the DAQUAR dataset, the analytical outcomes reveal that the presented system outperforms the prior state-of-the-art by a significant factor. In addition to the quantitative analysis, proper illustrations are supplied to observe the reasons for performance improvement.
SRU-based Multi-angle Enhanced Network for Semantic Text Similarity Calculation of Big Data Language Model
Authors: Huang Jing , Ma Keyu
Published: March 2023

As a fundamental problem of natural language processing (NLP), the calculation of semantic text similarity plays a crucial role in a variety of big data application situations. In the process of text similarity modeling, however, owing to the complexity and ambiguity of Chinese semantics, effectively capturing the semantic interaction characteristics of Chinese text only from a single angle is impossible. This study proposes a deep learning-based computational model for semantic text similarity called SRU-based multi-angle enhanced network (SMAEN). Specifically, the authors firstly combine character-grained embeddings and word-granularity embeddings obtained from the pre-trained model to represent text. The text is encoded using a bidirectional simple recurrent unit (Bi-SRU) network, and the local text similarity is represented using a soft-aligned attention technique. In addition, the authors integrate Bi-SRU with an improved convolutional neural network (CNN) for global similarity modeling to capture semantic, time, and spatial characteristics of short text interaction. Finally, they employ a pooling layer to aggregate the calculation results into a fixed-length vector and a multi-layer perceptual (MLP) classifier to make a determination. Experimental results on Chinese public datasets LCQMC and PAWS-X show that the proposed method fully captures semantic interaction features from multiple angles and achieves advanced performance. This method can produce better matching results and enhance the accuracy of large data analysis. It is applicable to numerous scenarios involving large data, such as information retrieval and recommendation systems.
Design of the 3D Digital Reconstruction System of an Urban Landscape Spatial Pattern Based on the Internet of Things
Authors: Li Fan , Zhou Tian , Dong Yuping , Zhou Wenting
Published: March 2023

Given the rapid development of modern science and technology, people are no longer satisfied with the planar composition and two-dimensional (2D) composition. Moreover, digitalization has entered the spatial layout of urban landscapes. The three-dimensional (3D) digital reconstruction technology can obtain the 3D effect map of urban garden landscapes, thereby improving the scientificity and timeliness of garden design. It is an important research direction in the field of computer vision. It transforms two or more planar graphics into visible 3D geometric graphics. It also restores their spatial coordinates and color information. The appearance of 3D digital reconstruction technology provides real-time and efficient information for landscape design, cost, and construction; improves the efficiency of landscape construction; and saves construction costs.
The Conceptual Framing, Design, and Development of Mobile-Mediated Professional Development for Primary Mathematics Teachers
Authors: Qazi Ali Gohar , Mtenzi Fredrick Japhet
Published: March 2023

This paper examines the design and development of a mobile-mediated professional development program for primary school teachers. It explores learning design frameworks and strategies to offer effective, 24/7, anywhere-anytime PD using mobile technology. The study highlights the significance of design requirements and best practices in mobile-mediated TPD, and presents a conceptual framework incorporating various pedagogical/andragogic approaches and instructional design possibilities enabled by mobile technology. The framework is based on the integrative learning design framework (ILDF), CSAM, RASE, Keller's ARCS, and TPACK framework. The resulting framework enacts evidence-informed and theory-led models, and best practices to cater to instructional design requirements for creating meaningful mobile-based learning experiences for teachers.
Confronting Current Crises and Critical Challenges of Climate Change
Authors: Wang John , Hsu Jeffrey , Li Yang , Gu Vicky Ching
Published: March 2023

Climate change heightens global warming and brings about impending risks for both human society and natural systems. Climate change is the greatest threat modern humans have ever faced. Pollutant discharges involve the global atmosphere and result in the challenge of global warming that must be solved before it results in irreversible damage. Current common threats of crises need common actions among all of us: every continent, every country, every community, and every common citizen. The earlier an action, the larger its impact. This review article scrutinizes the newest developments in this paramount important research area and provides directions for future research.
Application of Multivariate Video Analysis in English Teaching Effect Evaluation Based on Computational Neural Model Simulation
Authors: Wang Weiqiang , Tian Haiyan
Published: March 2023

Video observation and content analysis are used to make a "quantitative-qualitative" analysis of English teachers' teaching behavior reflected in English classroom teaching videos, and to accurately describe, analyze, and summarize the characteristics of English teachers' teaching behavior from various aspects. Based on this, this study uses video analysis methods and NVivo 11 qualitative analysis tools to import quantitative data obtained from teaching video content into Excel tables for statistical analysis, objectively describe the rules and characteristics of junior high school English teachers' teaching effects, and then put forward suggestions to optimize teaching effects and strategies and suggestions to promote English classroom development. This paper establishes a video analysis and evaluation model. First, calculate the weights required by the model, then calculate the relationship matrix, and then calculate the second-level video analysis and evaluation. Using the second-level weight and relationship matrix, the teacher's evaluation value will be obtained.
An Innovation of Black Tea as a Substitute for the Use of Positive Contrast Media in CT Urography in Hydronephrosis Cases: Case Study
Authors: Wati Retno , Istiqomah Anisa Nur , Salsabila Estu , Pratama Hendika Sidiq Putra
Published: March 2023

The use of contrast media on CT scans needs to be done to see the urinary tract clearly. Contrast media itself has side effects that can harm patients if they have allergies. The purpose of this study was to determine if black tea can be used as a natural contrast medium to replace iodine contrast media in CT urography. This study used a case study method by observing a patient diagnosed with hydronephrosis who underwent CT urography. Prior to the examination, the patient had drunk 600 ml of black tea. Examination using CT Scan GE Revolution ACT 32 slices with axial, coronal and sagittal images. The results of the image are then taken to a radiologist and a radiographer to assess the image quality and anatomical clarity in the form of an interview. The results showed that the patient drank 600 ml of plain black tea on a CT-Scan urography examination in cases of Hydronephrosis could open or clarify the ureteral tract, making it easier for doctors to read out radiographs. The use of tea was able to reveal the ureteral groove and facilitate tracking. Black tea with natural ingredients has the opportunity to be a substitute for iodine contrast media which uses chemicals in CT Urography so as to reduce the potential for allergies and side effects to patients and is inexpensive. Studies related to the ratio of black tea and water can be carried out to obtain an optimal density value.
Experimental of the Influence of Blade Pitch Angle Cooler Fan on the Performance of Closed Cooling Water System Gas Turbine
Authors: Budi Setya , Dwiyantoro Bambang Arip
Published: March 2023

A closed cooling water system is one of the systems contained in gas turbines. The main function of this system is to cool the lubricating oil and winding generator. Decreased performance of closed cooling water system can cause the gas turbine protection system to be active and cause the gas turbine trip. The study began with data collection, both design data for the heat exchanger cooler fan and operating data from the closed cooling water system on the gas turbine. An experiment was carried out by varying the blade pitch angle cooler fan to measure the work parameters in the field and analyzing the results of these measurements against the performance of the heat exchanger cooler fan. Variations of blade pitch angle cooler fan were done by limiting the working parameters of the cooling fan motor. The result of this study was an increase in the blade pitch angle cooler fan results in an increase in the flow rate of the cooler fan, this also affected the heat transfer rate of the heat exchanger cooler fan which grew when the blade pitch angle cooler fan was raised. The increase of blade pitch angle cooler fan also resulted in a decrease in the temperature of closed cooling water on the heat exchanger cooler fan outlet.