bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel Technique for Characterization of Ocular Prosthesis by Utilizing Ceramic Stains and Composite Glaze
Authors: Singh Shefali , Kumar Lalit , Gaur Neha , Verma Neha
Published: May 2024

Since ancient times eyes are known to be lsquowindows to the soulrsquo. Loss of an eye can have crippling effect on the appearance as well as the psychology of an individual. An ocular prosthesis both stock and custom-made enhances the esthetics by artificially replacing bulb of the eye. Various techniques have been described in literature to customize an ocular prosthesis and enhance its appearance to closely match the natural eye of the patient. Symmetry and characterization are critical for esthetic appearance of an ocular prosthesis. This case report describes a novel technique for characterization of an acrylic resin ocular prosthesis using ceramic stains mixed with an external glaze. The prime purpose of the rendered treatment plan was to restore the lost ocular structure considering the patientrsquos esthetic demands. The final outcome of the prosthesis fabricated using this technique validates the use of composite glaze as a simple yet a predictable and economical laboratory technique.
Dapsone-Induced DRESS Syndrome: A Case Report
Authors: Suwal Julisa , Mary Thomas Shibi , Ramaiah Balakeshwa
Published: May 2024

Drug reaction with eosinophilia and systemic symptoms DRESS syndrome sometimes known as drug-induced hypersensitivity syndrome represents a unique and potentially life-threatening adverse response triggered by medications. It typically presents as a skin rash resembling measles affecting individuals of various age groups accompanied by symptoms like fever swollen lymph nodes irregular blood cell counts and a range of multiorgan issues. Its incidence is 11000 to 10000 exposures and its mortality is 10-20. We report a case of a patient diagnosed with DRESS syndrome secondary to Dapsone use. The main objective of this case report is to describe the characteristics complications and treatment of drug-induced DRESS syndrome. The presented case report of a 17-year-old female patient admitted to a tertiary care hospital in Bengaluru with a history of peeling skin all over the body for 10 days and was diagnosed with DRESS syndrome secondary to Dapsone use. During the admission she was prescribed Wysolone and Atarax Hydroxyzine. The patient was simultaneously treated with local ointments and her condition symptomatically improved. This case emphasizes the fatal and life-threatening adverse reactions of Dapsone and their management.
A Prospective Comparative Study of Bedside Index Severity Score and Harmless Acute Pancreatic Score for Prognosticating the Severity of Acute Pancreatitis
Authors: Loganathan Nandhakumar , V Arpitha Nayaka K , Nayak K Ashok
Published: May 2024

Background This study conducted a comprehensive examination of the effectiveness and practicality of two scoring systems namely the Harmless Acute Pancreatic Score HAPS and the Bedside Index for Severity in Acute Pancreatitis BISAP score in accurately forecasting prognosis in acute pancreatitis cases with the key objective of assessing the merits and drawbacks of various scoring systems in providing valuable prognostic information to healthcare professionals.Method This study was conducted to evaluate the prognostic potential of the HAP and BISAP scores in patients with acute pancreatitis. A total of 50 patients who met the inclusion and exclusion criteria were invited to participate in the study. Comprehensive clinical data including general characteristics medical history and laboratoryimaging-related parameters were collected. The study adhered to a prospective observational single-center cohort design. The study took place from March 2023 to December 2023 and informed consent was obtained from all the participants. Results In our investigation alcohol induced pancreatitis was observed in 56 of patients. The ROC curve of HAP and BISAP score had values of 0.8969 and 0.8925 respectively. The sensitivity and specificity of HAP score were 67 and 92.9 95 CI respectively. For the BISAP score the specificity and sensitivity were 100 and 88. Both the HAPS and BISAP scores can be used to evaluate acute pancreatitis prediction. No significant distinction in predictive outcome for pancreatitis was found between the HAPS and BISAP scores.Conclusion Scoring systems like HAPS and BISAP can be utilized to predict prognosis of acute pancreatitis aiding in triage and management of patients with BISAP specifically showing higher sensitivity and specificity.
Epigenetics and Physiotherapy
Authors: Raja PT Kavitha
Published: May 2024

None
A Deep Learning Based Soil Type Classification and Recommendation of Crops to the Soil Type
Authors:   Professor, Department of CSE East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA, H Dr.Chandramouli
Published: May 2024

Accurate classification of soil surface texture plays a pivotal role in agriculture, environmental management, and land-use planning. However, the classification of soil textures from RGB images obtained under uncontrolled field conditions remains a challenging task due to the inherent complexities of natural environments. In this study, we propose a novel approach for Soil Surface Texture Classification using Convolutional Neural Networks to address these challenges.
Analysis and Implementation of Web Advertisement Optimization Using UCB Reinforcement Learning
Authors:   Assistant Professor, Dept. of CSE East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA, Harde Neha
Published: May 2024

Web advertisements are vital in digital marketing for connecting businesses with customers; yet optimizing their placement faces challenges from evolving user preferences. This project explores leveraging the Upper Confidence Bound (UCB) algorithm, a reinforcement learning technique, to automate ad placement strategies based on real-time feedback. Through analysis and implementation, this study investigates UCB's potential for web advertisement optimization. It examines existing methods, delves into reinforcement learning theory, and develops a simulation environment reflecting real-world dynamics. Experimental results comparing the UCB approach against baselines demonstrate its efficacy in improving ad placement and enhancing online advertising campaigns.
Managing and Evaluating Data Integrity in machine Learning-Based Cyber Intrusion Detection
Authors:   Assistant Professor/ Dept of CSE East Point College of Engineering and Technology, Bengaluru, Karnataka, INDIA, L Shammi
Published: May 2024

This study investigated the impact of data quality on the performance of intrusion detection systems. Experiments were conducted using intrusion datasets and machine learning models. The pre-trained models were less affected by data duplications and overlaps compared to classic ML models. Removing overlaps and duplicates from training data improved the pre-trained models' performance in most cases, but had adverse effects in datasets with highly similar sequences. The study also proposed a framework for model selection and data quality assurance for building high- quality intrusion detection systems. Additionally, we focus on optimizing nine hyperparameters within a 1D-CNN model, using two well-established evolutionary computation methods—genetic algorithm(GA) and particle swarm optimization(PSO).The performances of these methods are assessed using three majordatasets—UNSW-NB15,CIC- IDS2017, and NSL-KDD. The key performance metrics considered in this study include the accuracy, loss, precision, recall, and F1-score. The results demonstrate considerable improvements in all metrics across all datasets, for both GA- and PSO-optimized models, when compared to those of the original non optimized 1D-CNN model.
Machine Learning Based Spam Comments Detection on Youtube: A Comparison of Regression Models
Authors:   Assistant Professor, Dept. of CSE, East Point College of Engineering and Technology, Bangalore, India, C R Nithyanada
Published: May 2024

The rise of spam comments on platforms like YouTube has become a significant concern, as they not only hinder genuine user engagement but also pose serious risks to users' safety and privacy. Machine Learning (ML) offers a powerful solution to combat spam comments by automating the process of detecting and preventing them. With the ability to analyze vast amounts of data and patterns, ML algorithms can effectively distinguish between legitimate comments and those that are spam. One of the commonly employed approaches in ML for spam comment detection is the Naive Bayes classification algorithm. Naive Bayes is a probabilistic algorithm that calculates the likelihood of a comment being spam based on its characteristics and the occurrence of specific keywords or phrases that are typical of spam content. By training the algorithm on a labeled dataset of spam and non-spam comments, it can learn to recognize patterns and generalize its understanding to new, unseen comments. Achieving a detection accuracy of 92.78% is indeed promising, but researchers and developers continue to explore other ML techniques and combinations to further improve the accuracy and robustness of spam comment detection systems. Ensemble methods, deep learning, and Natural Language Processing (NLP) techniques are among the advanced approaches gaining attention in this domain. One crucial aspect of an effective spam detection system is its adaptability and responsiveness to emerging spam tactics.
Content Based Image Retrieval Using Support Vector Machine
Authors:   Associate professor, Department of CSE Kammavari Sangham Institute of Technology Bangalore, INDIA, R. Dr.Senkamalavalli , L Shammi ,   Assistant Professor, Department of CSE,  East Point College of Engineering and Technology, Bangalore, INDIA
Published: May 2024

A significant issue in multimedia systems is image retrieval. It is identified as the procedure for looking through and obtaining pictures from a dataset. One important and difficult area of study in digital image processing is content-based image retrieval (CBIR). Retrieving pertinent data from a vast picture database after a query image with better system output is a fundamental requirement of the CBIR system. Regretfully, not all techniques can be applied to achieve high retrieval accuracy. Thus, the purpose of this research is to use Support Vector Machine (SVM) to classify query picture data with image database data in order to get similar images. Based on the classification, the accuracy of the image retrieval will be verified.
Survey on MapReduce Scheduler Algorithms in Hadoop Framework
Authors:   Assistant Professor, Department of CSE East Point College of Engineering and Technology, Bengaluru, INDIA, MV Kesavan , PremKumar Dr.Josephine ,   Professor, Department of CSE Cambridge Institute of Technology,  Bengaluru, INDIA, A Manimegalai ,   Assistant Professor, Department of CSE East Point College of Engineering and Technology, Bengaluru, INDIA
Published: May 2024

Hadoop serves as a robust framework tailored for the storage and processing of vast data volumes across clusters. Its foundation lies in the Hadoop Distributed File System (HDFS) for data storage, complemented by the MapReduce paradigm for data processing. MapReduce, functioning as a parallel computing framework, operates adeptly on distributed clusters to manage large-scale data processing tasks. Within this framework, scheduling emerges as a pivotal aspect, influencing the overall system's performance and efficiency. The essence of scheduling in MapReduce lies in enhancing performance, minimizing response times, and optimizing resource allocation. This paper undertakes a systematic exploration of existing scheduling algorithms, offering a fresh classification and detailed examination of each category. Furthermore, the analysis delves into the core principles, objectives, as well as the strengths and weaknesses of these scheduling algorithms.
Integration and Adaptation: The Domestication Practices of Chinese Taxi Drivers in
Digital Labor
Authors: 张 媛媛 , 冯 锐
Published: May 2024

伴随着网络预约出行平台和传统巡游出租车的融合,数字平台成为一种外来技术开始进入巡游出租车司机的日常劳动过程。本研究基于驯化理论框架,对67位巡游出租车司机进行了观察和半结构化访谈,并对巡游出租车司机的3个社交群聊进行了参与式观察,探究了处于平台经济形态与传统工作状态交界处的司机群体对数字平台的驯化过程。研究发现,巡游出租车司机借助技术想象与意义建构勾连接入动机,调整工作时间与空间以完成技术的物质嵌入,通过知识共享与情感共鸣实现身份共同体的重塑。巡游出租车司机对数字平台的驯化实践呈现出技术融入生活过程中的整合与适应特征,是对经典劳动过程理论中二元对立框架的回应与延展。
Antioxidant and toxicity activities of kayu manis hutan (Cinnamomum iners
Reinw. Ex Blume Laureceae) leaf extracts
Authors: Padzil K.N.M. , Rukayadi Y. , Abas F. , Sanny M. , Abdul-Mutalib N.A.
Published: May 2024

Cinnamomum iners Reinw. ex Blume Laureceae which is known in Malaysia as “kayu
manis” has a wide range of traditional applications for certain plant parts, including the
leaves, bark, and stem and it has pharmacological features, including anti-inflammatory
and antibacterial activity. Unfortunately, there is a lack of reports regarding the
antioxidant and toxicity activities of ethanolic C. iners crude leaf extracts. The objective
of the study was to determine the total phenolic content and its antioxidant activities of
ethanolic C. iners crude leaf extracts from two different age maturity, as well as its
toxicity activity. The extracts were tested for total phenolic content and its antioxidant
activities in terms of 2,2-diphenyl-1-picryllhydrazyl (DPPH) free radical scavenging- and
ferric reducing antioxidant power (FRAP) and 2,2'-azino-bis(3-ethylbenzothiazoline-6-
sulfonic acid) (ABTS) assay. The toxicity assay was tested using brine shrimp (Artemia
salina) lethality assay. The total phenolic content of the extracts for young and old leaves
C. iners resulted in 248.06±12.77 and 351.11±8.62 mg GAE/g dw, respectively. The
DPPH radical scavenging showed results for young and old leaf extracts were IC50 of
31.92 µg/mL and 27.62 µg/mL, respectively. Meanwhile, the value of FRAP for young
and old leaf extracts were 8.574±0.21 and 9.155±0.36 TEAC mg/g dw, respectively. The
ABTS antioxidant activity for the young and old leaf extracts were 305.23±7.02 and
316.86±8.22 Trolox equivalence mg/g dw, respectively. Based on the toxicity assay, both
young and old leaf extracts exhibited LC50 at 19.627 and 13.201 mg/mL, respectively. The
findings indicate that C. iners leaves crude extracts have exhibited high total phenolic
content and antioxidant activity and the extracts were not toxic against brine shrimp. Thus,
C. iners leaf extracts could be developed as potential natural antioxidant agents.
Análise da viabilidade econômica da implantação de um silo secador de grãos em uma propriedade rural familiar
Authors: Desconsi Maicon , Arboit Jackson Luiz , Vargas Elisandro João de , Paraginski Ricardo Tadeu
Published: May 2024

A agricultura familiar no estado do Rio Grande do Sul tem elevada importância econômica e social. Visando a contribuir com a transferência de tecnologias para este meio, a Emater, RS - Ascar desenvolveu um sistema de silo secador de grãos com ar não aquecido, adaptado aos pequenos produtores familiares. Neste contexto, o objetivo deste trabalho foi avaliar a viabilidade econômica do modelo de silo secador proposto pela Emater, RS - Ascar para armazenamento de milho em uma propriedade rural, comparando-o com a opção de armazenagem terceirizada. No cálculo de viabilidade econômica foram utilizados indicadores como Valor Presente Líquido, Taxa Interna de Retorno e Payback descontado. Os resultados apresentaram o valor total do investimento no projeto de R$ 7.841,03, para um silo com capacidade de armazenamento de 19.560 Kg de milho. Com base nos resultados o empreendimento mostrou-se economicamente viável para a propriedade rural estudada, apresentando Payback de 2 anos, 8 meses e 28 dias, Valor Presente Líquido de R$ 17.733,14 e Taxa Interna de Retorno de 43,43%.
Will Migrant Pacific Workers Be a Part of Aotearoa New Zealand’s Farming Futures? A call to design future agritech industry transformation plans with a reciprocal framework
Authors: Gounder Sandhiya , Burch Karly , O'Connor Mira
Published: May 2024

In 2020 and 2023 the New Zealand government depicted a vision for technology-enhanced farming futures in the Agritech Industry Transformation Plan. However, the plan overlooks the critical role of seasonal, migrant Pacific workers in sustaining Aotearoa New Zealand’s horticulture industry. It also contains little practical planning for what a transition from a largely human to a largely robotic workforce should entail. We show how these omissions reflect an extractive framework which threatens workers’ wellbeing and the sustainability of Aotearoa New Zealand’s horticulture industry. We provide recommendations for how future agritech industry plans can consciously adopt a more sustainable reciprocal framework.
Regulating the Digital Environment to Protect Users from Harmful Commodity Marketing
Authors: Sing Fiona , Lyons Antonia
Published: May 2024

Although the creators of the world wide web never intended it to be regulated by state intervention, the rapid evolution of the online environment has necessitated regulation of certain aspects of the digital ecosystem. Harmful commodity marketing (e.g., alcohol, vaping and unhealthy food and beverage product marketing) on social media and in digital spaces has been linked to adverse health outcomes and there have been calls for its regulation. In this commentary we explain why this is important and consider how such regulation could be achieved.
An Experiment in Governmental Futures Thinking: long-term insights briefings
Authors: Menzies Malcolm , Jackson Andrew , Boston Jonathan
Published: May 2024

New Zealand’s Public Service Act 2020 requires departmental chief executives to give a long-term insights briefing (LTIB) to their respective ministers at least once every three years. The LTIBs must provide ‘information about medium- and long-term trends, risks, and opportunities that affect or may affect New Zealand’, along with ‘information and impartial analysis, including policy options’ to address the matters raised. The first suite of LTIBs were prepared during 2022–23. This article assesses the first round of LTIBs, giving particular attention to how they identified future risks and opportunities and the extent to which they adopted robust foresight techniques. Based on this analysis, we suggest how the process for preparing future LTIBs might be improved.
Contemporary Bidayuh Vernacular Architecture
Authors:   , Tang Aaron
Published: May 2024

In Sarawak, Malaysia, many new buildings stand in stark contrast to the local traditional Bidayuh Longhouses and Baruks. The lack of representation and respect for local culture and building techniques in the architectural landscape of the 21st century is contributing to the disappearance of the Bidayuh culture and heritage; the traditional design of the Longhouse and Baruk is a vital part of that. The failure to develop and integrate the vernacular style over time can lead to the heritage architecture being seen as archaic and undervalued. Reviving local knowledge and culture in the 21st century can not only preserve the local identity but can also push the practice of architecture to be more sustainable, both culturally and environmentally. Hence, my research investigates ways traditional Bidayuh building knowledge and techniques can positively influence contemporary design.

The research focuses on a small community scale with data on the Bidayuh’s building design, form, and construction. The methodology starts with gathering and analysing various types of information from local archives and via observations that have been employed relating to vernacular building techniques. The gathered knowledge will be used to develop a contemporary approach to design and technology. The information collected will then be used as a starting point to create a framework for the Bidayuh built forms. The result would be the basis for developing prototypes of contemporary Longhouses. This research investigates traditional Bidayuh designs to see how they help minimise environmental damage whilst reinforcing cultural identity without being seen as retrogressive. The framework and prototype can be a precedent for future architectural developments elsewhere.
Analysis of The Preventive Effect of Nursing Intervention on Complications After Whole Cerebral Angiography
Authors: Li Jing
Published: May 2024

Objective: To analyze the effect of nursing intervention in preventing complications after whole-brain angiography and reducing the risk of neurological dysfunction, infection, and vascular complications. Methods: One hundred patients who underwent whole-brain angiography in our hospital from December 2022 to December 2023 were selected and randomly divided into control and observation groups of 50 cases each. The control group received routine care, and the observation group received systematic care. The psychological status, complication rate, nursing quality, blood pressure, and nursing satisfaction of the two groups of patients were compared. Results: Before the intervention, there was no significant difference in psychological state between the two groups (P > 0.05). After the intervention, the positive effect (PA) and negative effect (NA) exhibited a significant correlation between the two groups (P < 0.05). The observation group had a lower incidence of postoperative complications as compared to the control group (P < 0.05). The nursing quality and satisfaction of the observation group were significantly higher than those of the control group (P < 0.05). There was no significant difference in blood pressure levels between the two groups before surgery (P > 0.05), while during and after surgery, the blood pressure levels of the two groups of patients showed a highly significant correlation (P < 0.05). Conclusion: Nursing intervention exhibited a significant preventive effect after whole-brain angiography. Scientific and reasonable nursing measures can effectively reduce the incidence of complications and improve the surgical safety and recovery of patients.
Analysis of the Effect of Comfort Care in The Perioperative Care of Patients with Uterine Myomectomy and its Influence on Self-Care Ability
Authors: Yuan Yi , Huang Zhonglu
Published: May 2024

Objective: To analyze the effect of perioperative comfort care for patients with hysteromyomectomy (HYS). Methods: Seventy cases of HYS patients admitted to our hospital from October 2022 to October 2023 were randomly selected and divided into Group A (control group, 35 cases, conventional care) and Group B (observation group 35 cases, comfort care). The effects of the two groups before and after nursing care were compared. Results: The self-rating anxiety (SAS) scores, exercise of self-care agency (ESCA) scores, and nursing satisfaction scores at the time of discharge of Group B were better than in Group A after nursing care (P < 0.05). Conclusion: Perioperative comfort care for HYS patients improved the patient’s adverse emotions, self-care ability, and nursing satisfaction.
Research on Enterprise Legal Service Strategy Based on Compliance Management Optimization
Authors: Zhu Yi
Published: May 2024

With the background of enterprise compliance management, this paper discusses how to improve the level of enterprise legal service and reduce enterprise legal risks by optimizing the compliance management system. It aims to analyze the current situation and existing problems of enterprise legal services through the analysis of the importance of compliance management. Furthermore, it delves into the case of enterprise legal service strategy based on compliance management optimization to verify the effectiveness and feasibility of enterprise legal service strategy.
Progress in Analytical Methods of Halogenated Disinfection By-Products
Authors: Wu Jing
Published: May 2024

Ensuring the health and safety of drinking water is crucial for both nations and their citizens. Since the 20th century, the disinfection of drinking water, effectively controlling pathogens in water sources, has become one of the significant advances in public health. However, the disinfectants used in the process, such as chlorine and chlorine dioxide, react with natural organic matter in the water to produce disinfection by-products (DBPs). Most of these DBPs contain chlorine, and if the source water contains bromine or iodine, brominated or iodinated DBPs, collectively referred to as Halogenated disinfection byproducts (X-DBPs), are formed. Numerous studies have found that X-DBPs pose potential risks to human health and the environment, leading to widespread concern. Mass spectrometry has become an important means of discovering new types of X-DBPs. This paper focuses on the study of methods for analyzing X-DBPs in drinking water using mass spectrometry.
Research on the Internal Talent Training Path and Performance Evaluation Mechanism of New R&D Institutions in Zhejiang Province
Authors: Li Xiangjiang
Published: May 2024

New research and development (R&D) institutions are an important part of the national innovation system, playing an important role in promoting the transformation of scientific and technological achievements. In recent years, new R&D institutions have gradually become the driving force of innovation-driven development in China. Taking new R&D institutions in Zhejiang Province as the research object, this paper studies the internal talent training path and performance evaluation mechanism of new R&D institutions in Zhejiang Province by using the literature research method, comparison method, case verification method, and other methods. The investigation results show that there are problems such as lack of material and spiritual support and neglect of the absorption of local talents in the internal talent training, and there are problems such as unclear standards, insufficient data, and opaque processes in the performance evaluation mechanism, which greatly affect the establishment and improvement of the performance evaluation mechanism. Given the above problems, this paper puts forward a forward-looking, oriented, flexible, and compatible talent training path and performance evaluation mechanism, hoping to optimize the effective internal talent training path of new R&D institutions, improve the evaluation performance, and promote healthy development of new R&D institutions in Zhejiang Province.
Effect of Board Structure on Board Performance in Malawi
Authors: Mkandawire Kezzie , Tchereni Betchani , Hussein Mustafa
Published: May 2024

Purpose: This study analyses the effect of board structure elements on board performance in Malawi, an Emerging economy.
Design/Methodology/Approach: The research adopted the cross sectional survey design. Data were obtained from 174 directors drawn from board members of Malawi stock exchange listed entities, state owned enterprises, private companies and non governmental organisations. Multiple regression analysis was employed to test the impact of board structure on board performance.
Findings: Results demonstrated that board structure plays a significant role on board performance. Specifically, the study found positive and significant association between board size, board diversity and board performance, but failed to find significant evidence to link board composition, CEO duality, audit committee and board performance.
Implications/Originality/Value: The research outcome suggest that to improve board performance in Malawi, owners/shareholders must constitute the right board size that is also well diversified.
Más profesionales en ciencia, ingeniería y tecnología, más movilidad intergeneracional de ingresos en Latinoamérica
Authors: Herrero-Olarte Susana
Published: May 2024

La movilidad intergeneracional de ingresos (MII) es la capacidad para cambiar de clase social, independientemente de la clase social de origen. Si bien en Latinoamérica la MII es especialmente baja, una nueva clase creativa ha logrado llegar a los deciles más altos en la región sin necesariamente pertenecer a la clase dominante. Dado que los creativos en ciencia, ingeniería y tecnología (CIT) están especialmente bien remunerados y hay un exceso de demanda desde el mercado laboral, planteamos como hipótesis que el aumento de profesionales en CIT aumentaría la MII en Latinoamérica. La metodología aplicada tiene dos pasos: primero, clasificamos 72 países del mundo en tres grupos según su MII —7 son latinoamericanos—; segundo, estimamos un probit ordenado para saber si las publicaciones en CIT (como un proxy de los profesionales de estas carreras) incide en la probabilidad de que los países latinoamericanos considerados pasen de un grupo a otro. Los resultados confirman la hipótesis.
¿Propiedad sin ley?: por qué las leyes de titulación y la prescripción adquisitiva no resuelven el problema de la «propiedad informal»
Authors: Arribas Guillermo
Published: May 2024

Es común encontrar «propiedad informal» en ocupaciones ilegales en Latinoamérica. Conocidos como «asentamientos humanos» en Perú, un grupo de personas construye derechos sobre tierra al margen de la ley. Si bien se ha analizado muchas veces este fenómeno desde una perspectiva económica, proponiendo mayoritariamente la entrega de títulos de propiedad como solución, la revisión del caso peruano muestra su ineficacia. En 1982, el 53,54 % de las viviendas en Perú contaban con títulos de propiedad; luego de casi de cuarenta años y múltiples leyes de titulación, en 2017, este porcentaje descendió al 50,65 %. Más aún, entre 2001 y 2018, el 46 % de las nuevas viviendas en las ciudades se han construido con base en propiedad informal en ocupaciones ilegales. En esta investigación, se propone otra mirada desde la perspectiva jurídica, indagando también en la institución civil tradicional de la prescripción adquisitiva de dominio y reenfocando la problemática.
Avances y perspectivas de la inteligencia artificial (IA) en anestesiología: un análisis integral en medicina perioperatoria
Authors: Cárdenas Alvear Miguel Eduardo , Gutiérrez Romero Luis Ángel , Florez Zulbaran Liseth Carolina , Pillajo Balladares Diana Carolina
Published: May 2024

La revisión científica titulada "Avances y Perspectivas de la Inteligencia Artificial en Anestesiología: Un Análisis Integral en Medicina Perioperatoria" se adentra en el análisis de la evolución y las aplicaciones de la Inteligencia Artificial (IA) en el ámbito de la anestesiología. Desde la introducción inicial del concepto de Inteligencia Artificial por John McCarthy en 1956 hasta los avances contemporáneos que abarcan los diversos tipos de aprendizaje asociados con la IA, se explora en detalle el impacto y la transformación que esta tecnología ha generado en la práctica anestésica. Se abordan áreas clave de aplicación de la IA descritas en la literatura, como el monitoreo de la profundidad de la anestesia, el control de la entrega de anestesia, la predicción de eventos perioperatorios, la orientación ecográfica, el manejo del dolor y la logística quirúrgica. Además, se destaca la influencia de la IA en la formación de profesionales en anestesiología mediante simuladores y sistemas de tutoría personalizados. Finalmente, a pesar de patentizar los beneficios potenciales, se advierte acerca de los desafíos éticos, legales y de seguridad que requieren atención, con el fin de lograr una implementación efectiva y responsable de la IA en el campo de la anestesiología.
Biomarcadores asociados al estrés
Authors: Bejarano Cevallos Carlos Andrés
Published: May 2024

La salud mental es un tema de gran trascendencia e interés tanto a nivel social como científico. La presente revisión tiene como objetivo proporcionar una plataforma informativa sobre los biomarcadores clásicos disponibles para identificar y diagnosticar la neurodegeneración inducida por el estrés emocional y la depresión. El presente artículo proporciona una visión general experta de los marcadores universalmente aceptados y su mecanismo de acción involucrados en la evaluación del estrés emocional y su manejo. Este trabajo previsto que enfatiza la incorporación de marcadores clínicos en experimentos de psiquiatría clásica hará que la información sea más significativa, confiable y universalmente aceptada. Los resúmenes de información del artículo facilitarán a los investigadores de psiquiatría clínica, neurofarmacología y neuropsiquiatría en el tratamiento de los trastornos depresivos junto con la identificación de una posible asociación neurodegenerativa. Esta revisión sistemática proporciona una actualización de la literatura al resaltar el papel de los biomarcadores fisiológicos en el estrés crónico y describir sus valores pronósticos y terapéuticos.
Value at Risk con volatilidad modelada por GARCH: Evidencia del sector automovilístico durante el 2020
Authors: Maldonado Méndez Luis Reynaldo , Maldonado Álava Pedro Luis , Maldonado Mendez Pedro Vicente , Maldonado Méndez Gianella Joyce
Published: May 2024

El objetivo principal de esta investigación es evaluar la optimalidad de la cartera de inversión creada utilizando la metodología del Value at Risk con volatilidad modelada por GARCH. Utilizando la información de los rendimientos diarios de cada stock, se estimó la volatilidad mediante un modelo de heterocedasticidad condicional autorregresiva generalizada GARCH (1,1) lo cual sirvió de insumo para minimizar el Value at Risk (VaR 99%) del portafolio. Luego se evaluó la efectividad de la cartera óptima para distintos eventos que se presentaron al inicio de la pandemia, cambiando periódicamente la participación de cada stock. Como resultado se obtuvo un alto rendimiento durante los días previos a la aparición del primer caso de Sars-Cov-2 y un desempeño deficiente luego de la primera cuarentena decretada.
Integración de la IA en la educación: Desafíos y oportunidades
Authors: Quinto Ochoa Edmundo Daniel , Mazzini Moran Jazmin Del Rocio , Erráez Mantilla Sara Noemi , Suasnabas Pacheco Lenin Stalin
Published: May 2024

El desarrollo bibliográfico discute cómo la inteligencia artificial (IA) puede mejorar la educación en todos sus niveles y los desafíos que la integración de las tecnologías presenta, como el riesgo de sesgo y la necesidad de políticas adecuadas para su uso ético. Adicionalmente, se explora el potencial de la inteligencia artificial (IA) para apoyar a los docentes, personalizar el aprendizaje y mejorar la accesibilidad para estudiantes con discapacidades o necesidades especiales. Se reconoce la posibilidad de que la IA introduzca nuevos riesgos de seguridad y privacidad, así como la amplificación de sesgos existentes. En tal sentido, se sugiere la creación de políticas centradas en las personas, que protejan la privacidad y promuevan la equidad, asegurando que la IA se utilice de manera que beneficie a todos en el ámbito educativo. Este resumen destaca la importancia de abordar tanto las oportunidades como los desafíos que la IA presenta en la educación, con un enfoque en la equidad, la ética y la eficacia.
Disminución del estrés de bailarines de alto rendimiento del Centro Artístico Yesenea Mendoza de la ciudad de Guayaquil mediante la aplicación de Terapia Racional Emotiva-Conductual (TREC) y la técnica Trauma Releasing Excercises (TRE)
Authors: Landivar Wong Mercedes Germania , Barreiro Moreira Dunia Lucía , Moran Mazzini Alba Jazmín , Olmedo Aviles Camila Lizeth
Published: May 2024

El artículo detalla cómo al implementar la Terapia Racional Emotiva-Conductual (TREC) y la técnica Trauma Releasing Exercises (TRE) redujo el estrés en bailarines de alto rendimiento del Centro Artístico Yesenea Mendoza en Guayaquil, exitosamente. Por esta razón, se vincula que la combinación de estas técnicas ofrece un enfoque integral que permite abordar, tanto los aspectos cognitivos como fisiológicos del estrés en los bailarines. Debido a esto, la investigación se llevó a cabo empleando el enfoque cualitativo, ya que permitió la observación, exploración, identificación de posturas, perspectivas, estudiando a los procesos desde su contexto particular de manera que permita analizar de manera exhaustiva el mundo de las distorsiones cognitivas y psicosomáticas de los participantes; estudio el fenómeno en su ambiente cotidiano con el propósito de investigar y profundizar, utilizando un proceso inductivo, tomando en consideración el aspecto subjetivo de las experiencias. Se trabajó con las 16 Bailarinas del Centro Artístico Yesenea Mendoza de la ciudad de Guayaquil que se encuentran en la última etapa de perfección artística llamada Alto Rendimiento. Es necesario resaltar que el estudio revela resultados innovadores y prometedores, destacando los eventos estresantes recurrentes relacionados al estilo de vida que fueron mencionados en el 37% de las bailarinas en el pre test, posterior a la intervención no fue mencionado ninguno, demostrando una disminución significativa en los niveles de estrés y una mejora en el bienestar general de los bailarines, lo que se evidencia con la desaparición significativa de las lesiones presentadas regularmente, antes de iniciar el estudio. Este enfoque innovador podría servir como modelo para otros centros artísticos y deportivos que buscan mejorar el rendimiento, la salud mental y sobre todo la psico-somatización que el estrés puede causar en los atletas.
TOXIC METAL RESIDUES IN NON-EDIBLE ANIMAL BYPRODUCTS
Authors: Darwish Wageh S. , Hafez Abd-El Salam E. , Khairy Aya A.
Published: May 2024

Environmental pollution by heavy metals is a major problem worldwide. Domesticated animals such as cattle and camel share the same environmental conditions like human and they are exposed to heavy metals via different sources. Therefore, these animals are considered as ideal bio-indicators for human exposure to heavy metals. Heavy metals accumulate in the different tissues of the animals. Estimation of toxic metal residues such as arsenic (As), mercury (Hg), lead (Pb) and cadmium (Cd) in the animal edible tissues had been extensively studied. However, estimation of such toxicants in the non-edible animal byproducts had received little attention. Additionally, non-edible animal byproducts are frequently used in many industries such as animal feed additives and leather fabrication. Therefore, this study was undertaken to estimate the residual concentrations of As, Hg, Pb and Cd in the hair, hides and bones of cattle and camel slaughtered at Zagazig, Abo-Hammad and Belbies cities, Sharkia Governorate, Egypt. Metal-metal correlations were additionally calculated. The achieved results indicated exposure of cattle and camel to high levels of heavy metals, particularly lead and arsenic. Camel had higher concentrations (mg/kg ww) of arsenic compared with cattle particularly in hair (38.57 ± 8.77 and 22.48 ± 1.91 in camel and cattle, respectively). Bone had the highest load of the measured metals among examined samples. For instances, in camel, elemental concentrations (mg/kg ww) in bone were 34.53 ± 6.16 (As), 3.41 ± 0.56 (Hg), 2.76 ± 0.36 (Pb) and 0.11 ± 0.01 (Cd). Samples collected from Zagazig city were highly contaminated compared with other locations. Significant positive correlations were observed between lead - mercury, lead - cadmium and arsenic- mercury (r <0.0001 in each). Contaminated non-edible animal byproducts should be hygienically disposed and avoid its introduction to downstream industries. It is highly recommended to control environmental pollution with heavy metals in Egypt.
PREDICTING THE OPTIMAL TIME OF BREEDING AND THE POSSIBLE APPROACHES FOR TREATMENT OF SOME ESTRUS CYCLE ABNORMALITIES IN BITCHES
Authors: Labib Faten M. , Mansour Hassan H. , Mahdy Atef B. , Abdallah Asmaa A.
Published: May 2024

Infertility problem is a common syndrome among bitches and its causes are numerous, but the apparent most frequent cause is the mating at incorrect time. The aim of this study was to avoid the possible causes of infertility in bitches by predicting the optimal time of breeding and try to treat disorders in estrus cycles. A total number of 18 bitches of German shepherd breed were used in this study for monitoring phases of estrus cycle and predicting the optimal time of breeding. Those bitches examined by vaginal cytology, progesterone assay, measurement of vaginal PH, vaginal endoscopy and ultrasonographic examination of ovaries from proestrus to diestrus. By vaginal cytology, cornified cells first appeared on Day 4 from the beginning of proestrus, then increased till reached to 85% on Day 12 which is considered as the ovulation day. Measuring of progesterone concentration at the beginning of proestrus was very low (less than 1 ng/ml) then increased in 13 bitches only out of 18 bitches which used in this study till reach to 6.5 ± 1.37 ng/ml within ranges (4.8 to 8.3 ng/ml) on Day 12 from the beginning of proestrus. The other five bitches showed disorders in normal sequence of estrus cycle which was discovered by progesterone assay, vaginoscopy and ultrasonography of ovaries. Abnormalities in estrus cycle were recorded; two cases of anovulation and three bitches of persistent proestrus. As a trial for correcting the deviated estrus cycle, we injected hCG hormone in two anovulatory bitches for occurrence of ovulation, and also used methergine drug in cases of persistent proestrus as a trial for stoppage of continuous bloody discharge. The optimal time of breeding in 13 ovulatory bitches was within 2 to 3 days after ovulation day. Pregnancy rate after breeding by 20 days was recorded by ultrasonographic examination was 92.3 % (12/13 bitches). When applying these applications, we concluded that progesterone hormone assay was the accurate method for predicting the ovulation time and achieving higher pregnancy rate , and also can judge on estrus cycle if normal or abnormal.
COMBINATION OF GLICLAZIDE DRUG AND LUPIN SEEDS POWDER ALLEVIATE HYPERGLYCEMIA ON INDUCED-DIABETIC RATS RECEIVING HIGH-FAT HIGH FRUCTOSE/SUCROSE DIET
Authors: Khalil Samah S. , Ali Haytham A. , Al-Saadawy Hamad A. , El-Dawy Khalifa
Published: May 2024

Diabetes mellitus is one of the most prevalent metabolic diseases in the world. Hyperglycemia and lipoprotein abnormalities are the characteristic clinical finding of DM. The most common legume food used in traditional medicine for the treatment of diabetes is lupin seeds powder. The aim of current research is to analyze the therapeutic effects of the combination of both hypoglycemic drug (Gliclazide) and lupin seeds powder on some biochemical parameters (serum blood glucose, serum insulin, glyclated hemoglobin and total lipid profile) and also on mRNA expression level of Glucokinase, Phosphoenolpyruvate carboxykinase (PEPCK), Insulin and Peroxisome Proliferator-Activated Receptor-Gamma (PPAR-γ) genes using relative quantitative PCR. In this study, thirty zucker male rats were divided into two groups: normal control group (six rats) and the other group expose to induce type2 DM by high-fat high fructose/sucrose diet. The diabetic groups were sub classified into 4groups (6 rats in each group), one group diabetic control and the rest was treated with Gliclazide (10mg/kg),combination of Gliclazide(10mg/kg) and lupin seeds powder (1gm/kg) and lupin seeds powder (1gm/kg) only. Combination between Gliclazide (10mg/kg) and lupin seeds powder (1gm/kg) daily for 4 weeks resulted in significant decrease in blood glucose level, glyclated hemoglobin and dyslipidemia (p<0.05), also results in significant increase (P<0.05) in high density lipoprotein-cholesterol(HDL-c) (90.66±3.8), insulin level(4.9±0.058). Also the combination of Gliclazide (10mg/kg) and lupin seeds powder (1gm/kg) tends to return biochemical parameters, lipid profile (triacylglycerol 77±3.05, total cholesterol 132±2) and the transcription of mRNA metabolic genes to normal levels ( Glucokinase 1.4±0.1, insulin 1.48±0.25, PEPCK 0.49±0.25, PPAR-γ 3.1±0.2 ) more than the treatment with Gliclazide drug only, in type 2 diabetic rats. It is concluded that, the combination of Gliclazide hypoglycemic drug and lupin seeds powder has the most hypoglycemic effect when compared to other groups.
DETECTION OF DNA ALTERATIONS IN MUSCOVY DUCKS (CAIRINA MOSCHATA) NATURALLY INFECTED WITH HIGHLY PATHOGENIC AVIAN INFLUENZA VIRUS SUBTYPE H5N1
Authors: El-Araby Iman E. , ElBakrey Reham M. , Ali Haytham , Mohamed Mahmoud H.A. , Mansour Shimaa M.G. , Eid Amal A.M.
Published: May 2024

Highly pathogenic avian influenza virus (HPAIV) subtype H5N1 is circulating in Egypt since 2006, with escalating apprehension about its possibility to become more transmissible amongst humans. In this study, three serial outbreaks of HPAIV H5N1 in domestic Muscovy ducks in Sharkia Governorate, Egypt were investigated. Nervous signs with 62% mortality were observed in Muscovy ducklings. Gross examination revealed severely congested meningeal vessels, hemorrhages on the duodenum, pancreas, and coronary fat. Perivascular lymphocytic cuffing, gliosis and vacuolation of the neuropil were observed in the brain microscopically. Viral antigens were identified in the neurons and the glial cells of the cerebral cortex, submucosal Meissner's plexus neurons of the intestine and the hepatic Kupffer cells by immunohistochemistry. The HPAIV subtype H5N1 was isolated from different duck tissues in 66.7% of examined duck samples. Using RAPD-PCR fingerprinting, there were different patterns in the DNA of Muscovy ducks naturally infected with AIV (24, 48 and 72 hours post appearance of clinical signs) compared to uninfected birds. Differences in RAPD-PCR profiles between infected and uninfected ducks, and genomic instability percent (37.7%±1.76) pointed to the incidence of DNA alterations induced at 24 hours following the appearance of clinical signs. Further in vivo and in vitro experiments need to be done to determine the relative importance of these findings.
PREVALENCE OF SHIGA TOXIGENIC AND MULTI DRUG RESISTANT Escherichia coli IN READY TO EAT CHICKEN PRODUCTS' SANDWICHES
Authors: Morshdy Alaa Eldin M.A. , Hussein Mohamed A. , Tharwat Ahmed E. , Moustafa Nafissa A. , Hussein Osama K.
Published: May 2024

Ready to eat (RTE) chicken products are known for their popularity among people from different age groups in Egypt. Two hundred and fifty samples of RTE chicken sandwiches represented by chicken fajitas, shawarma, burger, pane and luncheon (50 for each) were collected and examined for prevalence, virulence and resistance of Escherichia coli being one of the most important enteropathogens worldwide. The obtained results declared the presence of E. coli in 42, 34, 30, 26 and 14% of the examined samples, respectively. The isolates were found to belong to different E. coli pathotypes such as enteropathogenic, enterohemorrhagic, enterotoxigenic and enteroinasive and were positive for serious virulence genes (Stx1, Stx2 and eaeA). Moreover, the isolates were tested for their resistance against fourteen commonly used antimicrobials in order to determine their resistance patterns which consequently would reflect their public health significance as well as the degree of drug misuse within the food production chain.
W podróży z Darwinem… O zwierzęcych historiach w kontekście ludzkiego życia, aktywności i kultury fizycznej
Authors: Obrycka Małgorzata
Published: May 2024

Współczesne społeczeństwa coraz częściej przejawiają empatię oraz uczuciową wrażliwość wobec zwierząt. Transformacja tego typu rodzi potrzebę analizy sytuacji zwierząt i ich dobrostanu w kontekście życia człowieka, jego aktywności fizycznej i wykazywanej (bądź nie wykazywanej) empatii. W historii ludzkości zwierzęta były zawsze ważnymi towarzyszami człowieka, także w odniesieniu do wszelkich form aktywności poznawczej, jak również sportowej. Mając powyższe na uwadze celem niniejszego artykułu jest analiza historycznych uwarunkowań szeroko rozumianej aktywności człowieka z udziałem zwierząt. Tłem analiz uczyniono historię najsłynniejszej podróży, mającej miejsce w XIX wieku, której uczestnikiem był brytyjski przyrodnik i geolog Karol Darwin. Ekspedycja ta jest nośnikiem wielu komunikatów oraz sprawozdań na temat człowieczeństwa, aktywności fizycznej, jak również naszej ludzkiej wrażliwości. Jest to także potężny zasób wiedzy, który może pomóc nam odpowiedzieć na pytanie badawcze o to, na ile obecnie w czasach rozwoju wiedzy z zakresu inteligencji, emocji oraz zachowań społecznych, stosownym jest wykorzystywanie zwierząt do psycho-fizycznego rozwoju ludzi. Rozpoznanie tego typu niesie ze sobą cały bagaż informacji i wskazówek o tym, co nam jako ludziom przynosi chlubę, co nas dyskredytuje, a co może stanowić inspirację uwzględniając nasze dzisiejsze możliwości.