bluuebunny/crossref_metadata_2025 huggingface dataset:
CULTIVO DO ABACAXIZEIRO CV. VITÓRIA EM FUNÇÃO DE ÉPOCAS DE PLANTIO E INDUÇÃO FLORAL
Authors: Kuster I. S
Published: May 2024

O Ananas comosus (L.) Merril conhecido popularmente como abacaxi, pertence à família Bromeliaceae, é bastante consumido no Brasil e no mundo. O mercado consumidor está cada vez mais exigente por produtos de qualidade, sendo assim, devido ao aumento da produção, os produtores devem procurar elevar o padrão de qualidade, para potencializarem sua comercialização. A cultura do abacaxizeiro enfrenta alguns problemas no Brasil, um deles diz respeito a fusariose, cujo principal patógeno é o Fusarium guttiforme. Variedades resistentes, como a cv. Vitória, tem se tornado uma solução. A floração natural é outro problema que deve ser evitado, pois pode resultar em graves perdas para os produtores. Pesquisas em todo mundo vem sendo feitas para melhorar a qualidade do fruto. Nesse contexto, desenvolveram-se dois trabalhos: o primeiro objetivou-se avaliar a qualidade de frutos do abacaxizeiro cv. Vitória em função de épocas de plantio e indução floral no norte do Espírito Santo. O segundo, teve como objetivo o estudo da correlação fenotípica entre características da folha “D”, físicas e químicas de frutos do abacaxizeiro cv. Vitória. O delineamento experimental utilizado foi o de blocos ao acaso, em parcelas subdivididas no tempo, com quatro repetições por tratamento. Na parcela principal, foram testadas diferentes épocas de plantio, correspondente a 15 de julho e 01 de setembro de 2013. Nas subparcelas foram testadas diferentes épocas de indução floral, correspondentes às idades de 8, 10, 12 meses e natural. Cada subparcela foi constituída por 60 plantas, sendo avaliadas 30 plantas úteis no centro da parcela. As variáveis analisadas foram: comprimento, largura, área foliar, diâmetro, circunferência, biomassa fresca do fruto com coroa e da coroa, diâmetro do cilindro central, espessura de polpa, rendimento de polpa, volume de polpa, área translúcida, sólidos solúveis, acidez titulável, ratio, duração em dias do plantio ao início da colheita, da indução artificial ao início da colheita e da colheita, soma térmica (ST) em dias do plantio a indução artificial, ST em dias da indução ao início da colheita e ST em dias do plantio ao início da colheita. Considerando todas as variáveis analisadas, o plantio em julho com indução aos oito meses é o mais indicado para a produção do abacaxizeiro cv. Vitória no norte do Espírito Santo. Comprimento e largura da folha “D” podem ser usados como indicadores de qualidade física de frutos do abacaxizeiro cv. Vitória, porém o mesmo não deve ser feito em relação a qualidade química. A acidez dos frutos do abacaxizeiro cv. Vitória tendem a ser menor com o aumento da massa dos frutos. O peso do fruto não é influenciado pelo peso da coroa, assim a comercialização do fruto in natura poderá ser feito sem nenhum prejuízo ao consumidor final.
SANITARY PROCEDURES FOR SHEEP AND GOATS SLAUGHTERING OPERATIONS IN SÃO LUIS CITY – MARANHÃO STATE/BRAZIL: A CASE REPORT
Authors: Sousa Maressa do Nascimento Feques , da Silva Hilmanara Tavares , Chaves Elba Pereira , Lima Francisco Carneiro , Santos Hamilton Pereira , de Jesus Greiciene dos Santos , Teles Amanda Mara , Coimbra Viviane Correa Silva , Bezerra Danilo Cutrim , Bezerra Nancyleni Pinto Chaves
Published: May 2024

The aim of the current study was to assess the sheep and goats slaughtering procedures in São Luis City, Maranhão State, Brazil, and their adequacy to the operations set by the national sanitary program. The following methodological procedures were carried out to achieve the research aims: (i) literature review using secondary data about the proposed theme within the available theoretical framework; and, (ii) field research, involving three technical visits to the slaughterhouse for observing and understanding the slaughtering process, as well as for taking photographic records. The second stage of this research focused on assessing the slaughter process based on the Sanitary Operation Procedures, which encompass the flowing slaughtering steps: reception and rest, spray bath, stunning, bleeding, skinning, evisceration, inspection, toilet and washing, refrigeration, and shipping. The results indicate an urgent need to implement corrective actions in the evaluated slaughter process, including employee training and thorough cleaning of equipment to mitigate the risk of contaminating sheep and goat carcasses as well as the environment. The slaughterhouse exhibited several non-conformities ewith the operations outlined by the sanitary program across all evaluated slaughtering stages. The company must commit to solve and prevent such non-conformities, in order to avoid recorrences and to ensure that such conditions will not unfold and damage humans, animals and the environment.
Tumores primarios del sistema nervioso central – Avances y desafíos
Authors: Modesto dos Santos Vitorino , Modesto dos Santos Lister , Modesto Sugai Taciana
Published: May 2024

Presentamos el reciente informe de una paciente de 22 años con germinoma primario del sistema nervioso central (SNC), curado con quimioterapia y radioterapia.
Los autores comentaron la raridad de esta neoplasia que usualmente se sitúa en la línea media cercano a la glándula pineal, los marcadores alfafetoproteína y gonadotropina coriónica, la indicación de quimioterapia neoadyuvante y dosis reducida de radioterapia, y el pronóstico favorable, con una supervivencia general hasta de 70%.
Enfatizaron las actuales limitaciones en cuanto a dosis y extensión de la radiación al SNC, además sobre la utilización de quimioterapia sola o de quimioterapia neoadyuvante.
Los comentarios adicionales que vamos a presentar buscan resaltar la importancia del informe inicial, aumentando el interés acerca de los tumores primarios del SNC.
Examining the long-term impacts of Covid-19 on green infrastructure: reflections on changes in public perceptions and government action
Authors: Mell Ian
Published: May 2024

This article was published open access under a CC BY licence:
https://creativecommons.org/licences/by/4.0
.
Circulating Interleukin 17A and Other Inflammatory Proteins May Predict Cardiovascular Disease in Early Rheumatoid Arthritis
Authors: Rydell Emil , Jacobsson Lennart T.H. , Turesson Carl
Published: May 2024

Objective

The objective of this study was to investigate the impact of 92 inflammatory proteins on the risk of cardiovascular disease (CVD) in patients with early rheumatoid arthritis (RA).

Methods

This study included consecutive patients with early RA recruited between 1995 and 2002. Stored plasma samples were analyzed for 92 inflammatory proteins. CVD diagnoses were retrieved from national in-patient and cause-of-death registries. Statistical analyses were predesignated as hypothesis-driven or exploratory. For the latter, proteins were selected based on principal component analysis (ie, factor loading > 0.5 within main components). Potential predictors of CVD and coronary artery disease (CAD) were assessed using Cox regression.

Results

Data on baseline levels of proteins and CVD were available for 163 patients. As hypothesized, levels of interleukin 17A (IL-17A) were associated with CVD (hazard ratio 1.35, 95% CI 1.02-1.78, adjusted for age, sex, hypertension, diabetes, smoking, and erythrocyte sedimentation rate [ESR]), although not significantly with CAD. Osteoprotegerin (OPG) levels were significantly associated with both outcomes, but only in crude models. No associations were observed for IL-6, tumor necrosis factor, monocyte chemotactic protein-1, or IL-8. In the exploratory analyses, MCP-3 in particular had significant associations with both outcomes in crude models.

Conclusion

Circulating IL-17A at RA diagnosis predicted future CVD, although we cannot exclude the possibility that this finding is due to multiple testing. The association was independent of traditional CVD risk factors, and of ESR at the time of diagnosis. Further, OPG may be a predictor of CVD. We also identified some novel potential biomarkers for CVD in RA.
Preliminary Analysis of Fall Concern Among Family Caregivers of Older Adults Discharged From the Hospital: A Psychometric Evaluation of the Carers' Fall Concern Instrument
Authors: Ang Seng Giap Marcus , Saunders Rosemary , Siah Chiew Jiat Rosalind , Wee Yan Hui Celestine , Etherton-Beer Christopher , Foskett Charlotte , Gullick Karen , Haydon Sue , Wilson Amanda
Published: May 2024

Purpose:

To provide a preliminary descriptive analysis of the change in fall concern among family caregiver–care recipient dyads during hospitalization and after discharge as part of a prospective study exploring the psychometric properties of the Carers' Fall Concern Instrument.

Method:

Using a prospective cohort design, an interviewer-administered survey was completed by dyads at 48 hours before discharge and 1 week and 30 days after discharge.

Results:

Of family caregivers, 76.9% thought their care recipient was at risk of falling and 61.5% were afraid of them falling. However, only 34.6% of older adults thought that they were at risk of falling and only 42.3% were afraid of falling. Family caregivers reported significantly less concern about falls after their care recipients were discharged.

Conclusion:

This study provided greater insight into caregiver–care recipient dyads' fall concern during their transition from hospital to home that may guide post-discharge fall prevention education on falls. [
Journal of Gerontological Nursing, 50
(5), 14–18.]
Effectiveness of Resistance Band Use in Conjunction With Tai Chi Among Older Adults With Prefrailty to Improve Functional Fitness, Quality of Life, and Heart Rate Variability
Authors: Woo Shan-Che , Chen Miao-Yen , Chen Liang-Kung , Liu Chieh-Yu
Published: May 2024

Purpose:

The current randomized controlled trial aimed to bolster the physical fitness of prefrail older adults, potentially delaying their need for admission to care facilities and enhancing their overall well-being.

Method:

The experimental group received a physical fitness intervention comprising resistance band use and tai chi three times per week for 12 weeks, whereas the control group received frailty-related health education. Thirty-four male participants completed the study.

Results:

A total of seven items had statistically significant differences at 12- and 16-week posttest, respectively: frailty index (
p
= 0.03;
p
= 0.03); Instrumental Activities of Daily Living Scale (
p
< 0.001;
p
< 0.001); and physical fitness, back (
p
< 0.001;
p
< 0.001); physical fitness, arm curl (
p
= 0.02;
p
< 0.001); physical activity (
p
< 0.001;
p
= 0.009); quality of life, physiological (
p
= 0.04;
p
< 0.001); and heart rate variability (
p
< 0.001;
p
< 0.001).

Conclusion:

Results revealed substantial improvements in physical fitness, frailty conditions, self-care abilities, and quality of life, but not balance or lower limb flexibility, for the experimental group. Therefore, exercise interventions may effectively improve prefrail older adults' quality of life. [
Journal of Gerontological Nursing, 50
(5), 19–26.]
Ragan's Principles Revisited
Authors: Bradley Darnell J.
Published: May 2024

Adult learners, once considered a non-traditional population in higher education, have established a firm normalcy. The research of Knowles proposes that adult learners are motivated by learning experiences that are directly applicable to their lives, tend to be self-directed, and want to feel that they have a definite sense of purpose in a learning experience. These foundational elements of adult learning are well-documented and understood by successful adult learning practitioners. The selected elements of Ragan's framework were interpreted through the researcher's own lens and practice in online learning. As such, there was license taken in the application to the courses taught by the author.
Leveraging the Talents of Adult Learners Through Competency-Based Education and Capstone Courses
Authors: Stevenson Carolyn N.
Published: May 2024

Adult learners need to leverage time and money when seeking a college degree. Competency-based degree programs provide an opportunity for adult learners to save time and money by progressing through a degree at their own pace. Capstone courses connect prior learning in coursework with real-world experiences and create valuable connections between work and classroom experience. This chapter addresses competency-based degree plans and application-based capstone courses for undergraduate university students. Examples of competency-based degree plans and capstone courses will be discussed. Inclusion in the discussion will be prior learning assessment courses and ways capstone courses create professional connections for the adult learner.
Ethical AI Integration in Academia
Authors: Janse van Rensburg Zander , van der Westhuizen Sonja
Published: May 2024

The chapter explores the transformative potential and challenges of integrating large language models (LLMs) into higher education. It highlights the opportunities AI presents for enhancing academic literacy, writing, and pedagogy, while also acknowledging the risks to traditional educational values and practices. It proposes a framework, developed with the guidance of academic literacy, information literacy, digital literacy, and academic integrity, aimed at leveraging AI's capabilities to support academic success without undermining foundational skills. The discussion extends to the implications of AI in the South African educational context, addressing the digital divide and advocating for equitable access to technology. This chapter encapsulates the essence of the proposed proactive framework for navigating AI's impact on academia, focusing on adaptation, critical engagement, and the cultivation of an advanced form of academic literacy that integrates AI technologies responsibly.
Can ChatGPT Grade Non-Native Academic English Writing?
Authors: Makarova Veronika , Li Zhi , Wang Zhengxiang
Published: May 2024

This chapter reports the results of a pilot study investigating the potential of ChatGPT to assess (or grade) texts produced by international graduate students whose mother tongue is other than English (IGS). The chapter overviews some suggested applications of ChatGPT to academic writing (AW) and particularly, for English as an additional language (EAL) contexts. Most works up to date consider ChatGPT applications for literacy and writing skills development. The authors compare evaluations of texts by ChatGPT vis-à-vis human experts. The texts employed for the study are short literature reviews written by IGS in Canadian universities. The results demonstrate some potential of ChatGPT for assessment. However, while ChatGPT provides mostly relevant scores and comments related to the assessment rubrics provided, the comments are not diversified and individualized enough. ChatGPT queries for assessment should be modified and the tool trained in diversifying comments to achieve better results.
Blue Wind Energy for Sustainable Urbanization
Authors: Singh Bhupinder , Vig Komal , Kaunert Christian , Lal Ruchi , Gautam Bhupendra Kumar
Published: May 2024

Blue wind energy, a pioneering concept, amalgamates offshore wind energy generation with cutting-edge technologies. There is a dire need to address the growing energy demands of urbanization while mitigating the environmental impact of conventional energy sources. Urban areas are substantial energy consumers, and traditional methods are both unsustainable and environmentally damaging. Blue wind energy, alongside AI and IoT integration, presents a compelling solution, but the challenge is in effectively implementing and optimizing these technologies to ensure sustainable, efficient, and eco-friendly energy management in cities. This chapter introduces a set of essential performance indicators to assess the advantages of diverse AI-accelerated workflows in blue-wind energy and the latest developments in applications of computer vision and employing AI in the enhancement of energy harvesting like as photovoltaics, storage including batteries, conversion, and management in smart grids.
Detecting Aberrations in Renewable Energy With the One-Class Support Vector Machine Model
Authors: Moroke Ntebogang Dinah , Makatjane Katleho
Published: May 2024

The traditional energy time series forecasting methods use accurate input data for prediction and then make single-step or multi-step predictions based on the established regression model. But because of the complexity of financial markets, the traditional forecasting methods are less reliable. Unsupervised anomaly detection techniques operate directly on an unseen dataset, under the assumption that outliers are sparsely present in it. A one-class support vector machine (SVM) is an extension of support vector machines for unlabeled data and can be used for anomaly detection. Even though outliers are accounted for in one-class SVMs, they greatly influence the learned model. Hence, one modification to one-class SVMs is presented here: eta one-class SVMs. For evaluation, eta one support vector machine-based algorithm is compared using four kernels. The results affirmed the proficiency of the RBF kernel, with the eta one-class SVM performing best. In regards to subspace division, the preliminary results showed a decreasing nonlinear trend.
Electricity Demand Forecasting using Dual Stream TBATS-CNN-LSTM Architecture
Authors: Makatjane Katleho , Xaba Ditebo , Seitshiro Modisane Bennett
Published: May 2024

The problem is the model's reliability, accuracy, and meaningfulness to convince decision-makers of the actions to be taken when seasonality is one of the features in the findings of the existing deep learning forecasts. The purpose of this chapter is to come up with a novel dual-stream hybrid architecture that is capable of predicting electricity demand and accessing its accuracy levels by benchmarking it with individual architecture model's forecasting accuracy levels using out-of-sample time series. The approach in this chapter uses time series and convolutional neural network (CNN)-based long short-term memory with various configurations to construct a forecasting model for short- to medium-term aggregate load forecasting. The obtained results show that the TBATS-CNN-LSTM-based model has shown high accuracy as compared to the base learner, and the model is optimised with hyperparameter tuning. Only optimally selected time-lag features captured all the characteristics of complex time series in South Africa.
Enhancing Algorithmic Resilience Against Data Poisoning Using CNN
Authors: J. Jayapradha , Vadhanie Lakshmi , Kulkarni Yukta , Kumar T. Senthil , M. Uma Devi
Published: May 2024

The work aims to improve model resilience and accuracy in machine learning (ML) by addressing data poisoning attacks. Data poisoning attacks are a type of adversarial attack where malicious data is injected into the training data set to manipulate the machine learning model's output, compromising model performance and security. To tackle this, a multi-faceted approach is proposed, including data assessment and cleaning, detecting attacks using outlier and anomaly detection techniques. The authors also train robust models using techniques such as adversarial training, regularization, and data diversification. Additionally, they use ensemble methods that combine the strengths of multiple models, as well as Gaussian processes and Bayesian optimization to improve resilience to attacks. The work aims to contribute to machine learning security by providing an integrated solution for addressing data poisoning attacks and advancing the understanding of adversarial attacks and defenses in the machine learning community.
Distributed Renewable Power in Green Building
Authors: Laledia Saurabh , Channi Harpreet Kaur , Sidhu Ramandeep
Published: May 2024

Green buildings using renewable energy are developing as the world pursues sustainability. This abstract covers distributed renewable power planning and construction for energy efficiency, conservation, and built environment sustainability. Distributed solar, wind, biomass, and geothermal for green buildings. Local generation lowers grid dependency in distributed energy systems. Site study, energy demand assessment, and renewable energy source selection for the building's needs and location are design aims. Smart grids and energy storage boost renewables. Energy-efficient passive design, sustainable materials, and creative architecture complement distributed renewable power sources throughout construction. Cost savings, renewable energy ROI, and green building's environmental advantages are examined. Renewable energy may boost green building safety, security, and ecology. Distributed renewable energy green buildings fight climate change and promote sustainability.
Optimizing Urban Sustainability
Authors: Jaganathan Dharani , Kaliappan Vishnu Kumar
Published: May 2024

In the rapidly evolving landscape of smart cities, the deployment of ubiquitous robots holds immense potential for enhancing various aspects of urban living. However, the widespread integration of these robots into smart city infrastructures necessitates a careful consideration of energy efficiency to ensure sustainable and long-term operation. By leveraging advanced algorithms, these robots can adapt their behaviors and decision-making processes, leading to reduced energy consumption and increased operational sustainability. This chapter explores the application of reinforcement learning techniques to optimize the energy efficiency of ubiquitous robots operating in smart cities and also investigates various implementation methods of reinforcement learning in the context of smart cities, focusing on enhancing the energy efficiency of ubiquitous robots like search and rescue robots and contributing to the overall development of energy-conscious urban environments.
Adaptive Intelligence in Microgrid Systems
Authors: Saravanan S. , Kumar N. M. G. , Reddy Putchakayala Yanna , Sri R. Ramya , Ramesh M. , Sampath B.
Published: May 2024

Microgrid systems, with diverse energy sources and decentralized control, are revolutionizing energy management. However, integrating renewable energy sources and consumer demands poses challenges to grid stability. Machine learning (ML) is a key tool for optimizing energy management and adaptive control in microgrids, enabling accurate load forecasting, renewable energy output prediction, and efficient resource utilization. This abstract discusses the potential of ML in revolutionizing microgrid systems by enabling adaptive control mechanisms, predictive maintenance, early fault detection, and proactive scheduling. ML also addresses cybersecurity concerns, providing sophisticated solutions for intrusion detection and secure data management. This approach optimizes operations, drives innovation, and ensures resilient, cost-effective, and sustainable energy infrastructures.
AI-IoT-Enabled Biomass-to-Biofuel Conversion
Authors: Khare Smriti , Ahalya N. , Prakash Kode Jaya , Devi P. Booma , Bhattacharya Sumanta
Published: May 2024

The integration of AI and IoT is revolutionizing the energy sector by improving efficiency and minimizing downtime in power plants. IoT sensors and smart grid technologies enhance transmission efficiency by real-time monitoring and power flow optimization. However, challenges like initial investment costs and skill requirements persist. Ethical considerations, data privacy, and equitable access are crucial for fully harnessing the potential of AI and IoT in the energy sector. This chapter synthesizes successful case studies, lessons learned, and future trends, emphasizing the pivotal role of AI and IoT in fostering innovation, optimizing energy systems, and driving the industry towards a cleaner, more sustainable energy landscape.
Towards Sustainability in Agriculture
Authors: Arslan Muhammad , Ali Muhammad Mutasaddiq , Burhan Muhammad , Muzammal Syeda Mariam , Jhanjhi NZ , Bibi Ruqia
Published: May 2024

Solar indirect dryer technology has long been recognized for its historical significance and cost-effectiveness in agricultural practices. Solar dryers are being developed as a sustainable solution for reduction of food scarcity particularly for drying food and storing it for longer durations. Among the various solar drying methods, solar indirect dryers stand out for their efficiency and economy, offering a reliable means of preserving food quality and availability during off-season periods. Despite their effectiveness, the current monitoring and control procedures for solar indirect dryers heavily rely on manual site visits by researchers, mainly due to the limitations of sensor-based systems in operation. In response to these challenges, this research proposes a transformative approach by integrating advanced sensors for continuous monitoring of temperature and humidity at multiple points within the solar indirect dryer. Additionally, the implementation of a smart data logger is introduced to automate the monitoring and recording processes,
Circular Economy and Closed-Loop Supply Chains in Industry 4.0
Authors: Lara-Guillén Jorge , Méndez-Aparicio M Dolores , Jiménez-Zarco Ana Isabel
Published: May 2024

The digital transformation of manufacturing operations represents an opportunity for sustainable development. Industry 4.0 is implementing innovations that bridge the gap between the physical and digital worlds, enabling intelligent and autonomous systems with great potential when used in conjunction and in conjunction with circular economy practices. Assessing the importance of Industry 4.0 to optimize available resources with practices such as recycling, the development of new circular business models such as remanufacturing, as well as the sustainability of the supply chain, will be the objective of this research. Through exploratory documentary methodology, it was confirmed that industrial development is limited to sustainable development and that Industry 4.0 can be decisive in responding to the challenge of sustainability.
Analysis of Disruption in Supply Chain Networks of Semiconductors and the Automobile Industry
Authors: Raj Charles Sanjay , K. Mugilan , Viswanath Shreya , I. S. Vignesh , Dey Chitra
Published: May 2024

The automobile and the semiconductor industries are two prominent sectors that operate in the twenty-first century. The use of semiconductors in automobiles has been on the rise since the early 2000s, as they are used for various sub-systems that aid in the optimization of everything from the primary functionalities of the vehicles to the secondary features. There have been significant disruptions in the past that have rattled the supply chain network linking these two industries. One such recent disruption that affected the two industries, and the relationship between them, was the COVID-19 pandemic, which caused production and sales in both industries to drop significantly. This paper attempts to use the SAM (specify, assess, and mitigate) framework along with data collected from dominant Indian companies in these industries during the pandemic, to analyze the potential for disruption within these industries and derive strategies that can be employed to minimize the effect of such disruptions in the future.
Fusing Medical Images Using Pyramid Decomposition by DLCNN Method
Authors: Hema L. K. , Dwibedi Rajat Kumar , Vanitha V. , Dey Animesh Chandra , Jothlakshmi G. R. , Dwibedi Sanat Kumar
Published: May 2024

Clinical imaging is an essential component in a wide variety of restorative examinations and therapies nowadays, according to the most recent developments in logic. Unless otherwise specified, the process of intertwining clinical photos can be considered one of the most effective methods for combining many distinct modular pictures through the utilisation of picture handling technologies. This work presents a three-layered crossbreed combination statement that is created by combining the Laplacian mode pyramid and the Gaussian mode pyramid decay into the brought picture and performing at first followed by the age of weight-based convolution brain organisations (CNN) approach. The goal of this work is to overcome the disadvantage of compelling pictures by conveying viable quality pictures and the rousted merged pictures that have been flopped by pre-customary methodologies.
Comparing Ketamine-Dexmedetomidine vs. Low-Dose Ketamine-Dexmedetomidine-Propofol for Sedation in Short Surgeries
Authors: Naik Shraddha , Kanase N. V. , Mulla R. M. , Mahdy Wafiya
Published: May 2024

In more clinical settings, quick surgeries are performed under anaesthesia. This study compared the sleepiness and hemodynamic stability of two sedative regimens: low-dose Dexmedetomidine, Ketamine, and Propofol (Group DKP) and Ketamine and DTM (Group KDX). This organised abstract summarises the study's main findings. Adult patients were randomly assigned to two groups. Groups DKP and KDX received low-dose Dexmedetomidine, Ketamine, and Propofol. Tracking hemodynamic parameters and measuring sedation depth with the Ramsay Sedation Scale. Complications, recovery, and patient satisfaction were assessed. Group KDX was regularly drowsier than Group DKP. No hemodynamic changes were observed in either group during the surgeries. Despite no statistical difference, Group KDX had fewer difficulties. Group KDX patients were happier with this regimen and recovered faster.
A Cross-Sectional Study on Clinical Evaluation of Surgical Interventions for Nasal Obstruction in Allergic Rhinitis
Authors: Havle Abhay D. , Kulkarni Vikas S. , Rajguru Anagha Y. , Hanuy Hamisol Sair
Published: May 2024

Allergic rhinitis commonly results in nasal blockage, affecting those seeking care in ear, nose, and throat (E.N.T) departments. This study aimed to assess three treatments for nasal obstruction in allergic rhinitis: partial inferior turbinectomy, cryo-application, and submucosal steroid injection. Seventy-five individuals with allergic rhinitis were split into three groups, each undergoing different treatments. Diverse scoring methods like total nasal symptom score (TNSS), nasal obstruction symptom evaluation (NOSE score), and nasal secretion score were employed for pre and postoperative evaluations. Partial inferior turbinectomy consistently displayed superior results across all evaluation periods compared to cryo-application and steroid injection. Patients who received turbinectomy reported more significant improvements in symptom relief, nasal blockage reduction, and decreased reliance on medication.
Incidence of Emergence Delirium in Pediatric Patients on Comparative Study of Ketamine IV Induction vs. Sevoflurane Inhalation Induction
Authors: Hippalgaonkar Amruta , Kanase N. V. , Mulla R. M. , Bawi Taufikin Arslan
Published: May 2024

To better understand the occurrence of emergence delirium (ED) in the paediatric population, this prospective observational study compared two anaesthesia induction techniques: intravenous (i.v.) ketamine and inhalational sevoflurane. This study included two hundred paediatric patients aged two to twelve who scheduled elective surgical procedures. Two groups of patients were randomly assigned, and each group underwent an intravenous ketamine induction or an inhalational sevoflurane induction. The “Paediatric Anaesthesia ED Scale (PAED)” was the primary outcome measure for ED occurrence. Secondary outcomes included time to emergence, challenges during emergence, and the frequency of postoperative vomiting and respiratory problems. Compared to the ketamine induction group (30%), the sevoflurane induction group had a much lower incidence of ED (12%). Sevoflurane-induced
A Prospective Cohort Research on the Clinical Impact of Oral Calcium Supplementation on Proximal Femur Mineralization in Fracture Cases
Authors: Shah Parthiv Hemanshu , Gunaki Ravindra B. , Kumar Aman , Mahdy Wafiya
Published: May 2024

This research aimed to evaluate, using Singh's Index and a DEXA scan, the effects of oral calcium supplementation on mineralization at the proximal end of the femur in patients with fracture-proximal end femur. Singh's Index and a DEXA scan were used to perform baseline evaluations on a cohort of 100 individuals who had fractures in the proximal ends of their femurs. Oral calcium supplementation was started, and it was monitored three and six months later. Singh's Index, DEXA Scan, and subgroup analysis based on gender and age were used to evaluate changes in mineralization. At six months, Singh's Index and DEXA Scan measures showed a considerable improvement in mineralization, indicating the effectiveness of calcium supplementation. Participants who were older than 75 years old demonstrated the strongest reaction. Very few negative effects were noted.
A Comprehensive Analysis of Findings on Clinical, Radiological, and Histopathological Correlations in Cholesteatoma
Authors: Kulkarni Vikas S. , Havle Abhay D. , Rajguru Anagha Y. , Sudaryanto Agus
Published: May 2024

Cholesteatoma, abnormal growths or keratinized tissue in the middle ear, has many symptoms, making diagnosis difficult. This study examined the complex relationship between clinical, radiological (HRCT), and histological findings in cholesteatoma to improve diagnosis and treatment. The respected Krishna Institute of Medical Sciences and Hospital methodically collected data from 100 suitable patients over 18 months (KIMS). The method included clinical exams, otoendoscopy, HRCT scans, and surgery, followed by a thorough tissue sample analysis. This study found a male propensity for cholesteatoma, peaking in the fourth decade. Discomfortable ear discharge and hearing problems dominated the clinical profile. Clinical investigations and otoendoscopy revealed common abnormalities, with attic retraction pockets accounting for 56% of cases. HRCT scans accurately identified ossicular involvement, indicating the stapes suprastructure in 49% of instances. Histopathological investigations also showed atrophy (95%), acanthosis (90%), and basal cell hyperplasia (90%). (identified in 91 percent of cases).
Psychometric Evaluation of the Family Willingness for Caregiving Scale
Authors: Wilk Cindy , Petrinec Amy
Published: May 2024

Background

Family members and close friends of patients undergoing mechanical ventilation in the intensive care unit (ICU) often experience stress and a sense of helplessness. Participating in the care of their loved one may improve their adaptation to the ICU environment and better prepare them for caregiving after discharge.

Objectives

The primary aim of this study was to develop the Family Willingness for Caregiving Scale (FWCS) and test its psychometric properties. The secondary aim was to examine relationships between family members’ demographic characteristics and caregiving willingness.

Methods

The process of scale development followed DeVellis’s 8-step method, and the scale was tested in 3 phases. The first 2 phases examined content validity and face validity, respectively. In phase 3, the FWCS was administered to a sample of family members currently visiting an ICU patient.

Results

Content validity and face validity were confirmed. The internal consistency reliability of the scale was acceptable, and exploratory factor analysis revealed a 1-factor structure comprising both physical and emotional/supportive care tasks. Caregiving willingness differed significantly by sex, with women reporting greater willingness than men reported.

Conclusions

Further testing of the FWCS is needed. After refinement, the FWCS could be used to evaluate factors contributing to caregiving willingness of family members of ICU patients and advance the science related to family engagement in the ICU. Additionally, it could be used as a practical tool to suggest family caregiving activities in the ICU.
‘n Evaluering van Staatsbetrokkenheid by die Hartebeespoortdamskema, 1914-1952
Authors: Du Plessis A.S.
Published: May 2024

No abstract available.
Capital, coal and conflict: The genesis and planning of a company town at Indwe
Authors: Mabin Alan
Published: May 2024

No abstract available.
PRRT with Lu-177 DOTATATE in Treatment-Refractory Progressive Meningioma: Initial Experience from a Tertiary-Care Neuro-Oncology Center
Authors: Puranik Ameya D , Dev Indraja D , Rangarajan Venkatesh , Kulkarni Suyash , Shetty Nitin , Gala Kunal , Sahu Arpita , Bhattacharya Kajari , Dasgupta Archya , Chatterjee Abhishek , Gupta Tejpal , Sridhar Epari , Sahay Ayushi , Shetty Prakash , Singh Vikas , Moiyadi Aliasgar , Menon Nandini , Purandare Nilendu C , Agrawal Archi , Shah Sneha , Choudhury Sayak , Ghosh Suchismita , Jha Ashish Kumar
Published: May 2024

Purpose:

Refractory and/or recurrent meningiomas have poor outcomes, and the treatment options are limited. Peptide receptor radionuclide therapy (PRRT) has been used in this setting with promising results. We have documented our experience of using intravenous (IV) and intra-arterial (IA) approaches of Lu-177 DOTATATE PRRT.

Methods:

Eight patients with relapsed/refractory high-grade meningioma received PRRT with Lu-177 DOTATATE by IV and an IA route. At least 2 cycles were administered. Time to progression was calculated from the first PRRT session to progression. The response was assessed on MRI using RANO criteria, and visual analysis of uptake was done on Ga-68 DOTANOC PET/CT. Post-therapy dosimetry calculations for estimating the absorbed dose were performed.

Results:

Median time to progression was 8.9 months. One patient showed disease progression, whereas seven patients showed stable disease at 4 weeks following 2 cycles of PRRT. Dosimetric analysis showed higher dose and retention time by IA approach. No significant peri-procedural or PRRT associated toxicity was seen.

Conclusion:

PRRT is a safe and effective therapeutic option for relapsed/refractory meningioma. The IA approach yields better dose delivery and should be routinely practised.
Serum Apo Lipoprotein E, Apo Lipoprotein E Gene Polymorphisms, and Parkinson’s Disease
Authors: Fahmy Ebtesam M. , Rabah Amany M. , Hashem Saher E. , Rashed Laila A. , Deraz Heba A. , Ismail Rania S.
Published: May 2024

Background:

A central role for apolipoprotein E (APOE) has been suggested in modulating processes of neurodegeneration.

Objective:

To study the association between serum APOE levels, APOE gene polymorphisms, and Parkinson’s disease (PD).

Material and Methods:

Fifty-five patients with PD and 30 healthy subjects were enrolled. PD patients were assessed using the Unified Parkinson’s Disease Rating Scale (UPDRS), Modified Hoehn and Yahr scale, and Schwab-England Activities of Daily Living scale. Serum APOE level and genotyping for APOE polymorphisms were done for PD patients and controls using enzyme-linked immunosorbent assay and polymerase chain reaction, respectively.

Results:

Mean serum APOE level was significantly higher in PD patients compared with healthy controls. APOE ε2/4 genotype was present in a significantly higher proportion of patients compared with controls. APOE ε4 allele was significantly associated with a higher score on the “mentation, behavior, and mood section” of UPDRS compared with ε2 allele. APOE ε2 allele was significantly associated with a shorter disease duration compared with ε3 and ε4 alleles. Mean serum APOE level was significantly higher in patients presenting predominantly by rigidity and bradykinesia compared with those presenting predominantly by tremors. Serum APOE level was positively correlated with mean scores of “mentation, behavior, and mood section” of UPDRS and disease duration. Serum APOE level was a significant predictor for the scores of “mentation, behavior, and mood section” of UPDRS.

Conclusion:

APOE ε2/4 genotype might be a susceptibility variant for PD. There may be a possible role for APOE in modulating the process of neurodegeneration in PD.
Evaluation of interleukin-6 in gingival crevicular fluid in patients with periodontitis
Authors: Gani Mudasir , Abbas Rezhat , Rashid Munaza
Published: May 2024

Introduction:

Periodontal diseases are disease processes involving the periodontium, a term that describes the supportive apparatus surrounding a tooth. Periodontitis is when the periodontal condition has progressed beyond gingivitis into a chronic, destructive, and irreversible inflammatory disease state. The bacteria can then penetrate deeper into the tissues and surrounding periodontium, triggering a host response in an attempt to defend against the invading bacteria. Many inflammatory cytokines regulate periodontitis pathophysiology through a cross-talk between tissue and immune cells. Interleukin (IL)-6 is a vital cytokine regulating host response to bacterial infection.

Aim:

The current study aimed to quantify IL-6 levels in gingival crevicular fluid (GCF) and assess the correlation with periodontitis.

Materials and Methods:

There were 22 study subjects: 11 study subjects (with periodontitis) and 11 control subjects (with healthy periodontium). The commercial human IL-6 ELISA kit (Elabscience) was used to measure the level of IL-6 as ng IL-6/ml of GCF.

Results and Discussion:

The control group had a mean ± standard deviation level of IL-6 of 0.56 ± 0.29, whereas the study group had 1.58 ± 0.23. The difference was statistically significant (P < 0.05).

Conclusion:

IL-6 assessment in GCF has an excellent prognostic role in periodontitis.
El Profesor-Investigador de Educación Superior en los Planes de Desarrollo Institucional y la Agenda 2030.
Authors: Fernández Delgado Laura Beatriz
Published: May 2024

Las instituciones de Educación Superior apuestan por la investigación educativa como vía para alcanzar la educación de calidad; sin embargo, en muchas Universidades hay desconocimiento en este sentido y la investigación se articula poco con la docencia y difusión del conocimiento; así la planeación estratégica es fundamental como parte de la evaluación institucional y los planes de desarrollo. Se pretende analizar las directrices en investigación en las universidades líderes en México. La pregunta inicial es ¿Cuáles son las tendencias de la investigación educativa y cómo se planean hacia el año 2030? Se aplica un modelo flexible de corte cualitativo, alcance descriptivo y una muestra por saturación. Los resultados apuntan a planes de desarrollo institucional con visión a la Agenda 2030.
B-learning como estrategia enseñanza-aprendizaje de Epistemología en nivel superior.
Authors: Huerta Patraca Gustavo Antonio
Published: May 2024

La presente investigación tuvo como objetivo identificar el nivel de satisfacción de los estudiantes sobre las estrategias didácticas en la modalidad b-learning para la materia de Epistemología y Pedagogía, impartida en la Universidad Veracruzana. Se empleó un enfoque cuantitativo, transversal y exploratorio que comprendió el desarrollo de clases durante un semestre con tres grupos de estudiantes (n=95), a quienes se les aplicó el Cuestionario de satisfacción con metodología b-learning (CSMB) cuyas dimensiones son: actividades de aprendizaje presencial y en línea, interacción en ambiente presencial y virtual, evaluación y satisfacción general. Los resultados muestran alto grado de satisfacción en las actividades de aprendizaje que implican interacción presencial, además de preferir en general la modalidad b-learning que solamente trabajo presencial.
Proyecto de investigación sobre un sistema de talleres para el desarrollo de habilidades pedagógicas en los docentes de la asignatura de Investigación de Operaciones, en la carrera de Ingeniería en Sistemas Computacionales de la Universidad de Guayaquil – Ecuador.
Authors: Cevallos Torres Lorenzo Jovanny
Published: May 2024

El presente trabajo está enfocado en mejorar la enseñanza de los profesores de la asignatura de Investigación de Operaciones, debido a la falta de habilidades pedagógicas, la reducida actualización en el área y poca experiencia profesional que afecta directamente a la calidad educativa. Ante tal situación, se presenta un protocolo de investigación que desea contribuir con una propuesta didáctico-pedagógica orientada a la concepción de un sistema de talleres de capacitación para apoyar al profesor a mejorar la calidad de su enseñanza. Para esto se consideraron los métodos tradicionales que permitieron concebir la formación que requieren los docentes para su ejercitación de calidad dentro de la asignatura, en la Carrera de Ingeniería en Sistemas Computacionales de la Universidad de Guayaquil – Ecuador.
Competencia autopercibida docente en estudiantes de licenciatura y posgrado en educación.
Authors: Portillo Peñuelas Samuel Alejandro , Enríquez Félix Misael , Reynoso González Oscar Ulises , Valenzuela Santoyo Alba del Carmen , Carranza Gutiérrez Margarita , Tovar Cedillo Erick Arnoldo
Published: May 2024

La investigación tuvo como propósito describir la competencia autopercibida docente en estudiantes de Licenciatura y Posgrado en Educación. La muestra de tipo censal estuvo conformada por 226 estudiantes matriculados a una escuela formadora de docentes de un municipio del sur del Estado de Sonora en México. Se aplicó la Escala de Evaluación de la Competencia Autopercibida del Docente en Educación Primaria [ECAD-EP]. Se utilizó JASPv.18 para el análisis de los datos. Como hallazgo principal se destacan puntuaciones consistentemente altas en la competencia autopercibida en estudiantes de Licenciatura y Posgrado, concluyendo que quienes presentan mayor preparación académica tienden a percibirse con niveles de competencia más altos.
Discapacidad e inclusión en la educación básica latinoamericana: prácticas efectivas, lecciones aprendidas y factores clave para la replicabilidad.
Authors: Medina Romero Guadalupe María
Published: May 2024

En América Latina, la inclusión de niños con discapacidad en la educación enfrenta retos; no obstante, existen avances normativos internacionales como la Convención sobre los Derechos de las Personas con Discapacidad. El presente estudio busca recopilar y analizar prácticas efectivas en la región para identificar factores clave para su replicabilidad, se utilizó el método Preferred Reporting Items for Systematic Reviews and Meta-Analyses para seleccionar estudios recientes. Los resultados resaltan la importancia de la formación docente, la adaptación curricular, la participación comunitaria, y políticas públicas robustas. La conclusión principal es que la replicabilidad de estas prácticas exige un enfoque integral que incluya educación, servicios de apoyo y compromiso político, subrayando la necesidad de un sistema educativo inclusivo que promueva una sociedad más justa y equitativa.
Evaluación sistemática de la accesibilidad en los libros de texto gratuitos para estudiantes con discapacidades en México.
Authors: Medina Romero Guadalupe María
Published: May 2024

En México, la accesibilidad de los libros de texto gratuitos (LTG) presentan retos de accesibilidad para estudiantes con discapacidades. Este estudio sistemático identifica barreras y sugiere mejoras alineadas con estándares de diseño inclusivo. Se aplicó el método Preferred Reporting Items for Systematic Review and Meta-Analysis para analizar la accesibilidad, resultando en la detección de deficiencias y discrepancias con prácticas internacionales. La conclusión más relevante es la necesidad de adaptar los contenidos a formatos accesibles para diferentes tipos de discapacidad, desarrollar guías para educadores sobre prácticas inclusivas y la inclusión de la comunidad de personas con discapacidad en el proceso de diseño y evaluación de los LTG.
Las tecnologías digitales en la carrera Ingeniería Mecánica Agrícola.
Authors: Chaviano Rodríguez Nadia Rosa , Soca Cabrera José Ramón , Revilla Chaviano Alejandro
Published: May 2024

El objetivo del estudio es caracterizar el empleo de las tecnologías digitales en la carrera Ingeniería Mecánica Agrícola de la Universidad Autónoma Chapingo para fortalecer el proceso de enseñanza-aprendizaje. La investigación es de carácter descriptivo, transversal y con un enfoque cuali-cuantitativo. La muestra es de tipo intencional, conformada por 51 estudiantes a quienes se les aplicó un cuestionario en línea. Entre los hallazgos fundamentales se significan: la percepción positiva de los alumnos sobre el uso de las tecnologías digitales en el proceso educativo, la autoevaluación y las investigaciones, así como su dominio de las mismas; asimismo, se encuentra el insuficiente uso de las mismas por parte del profesorado en cuanto a la toma de decisiones pedagógicas para emplearlas en clases.