bluuebunny/crossref_metadata_2025 huggingface dataset:
Depression, Anxiety, and Burnout, Their Association with Academic Dropout Ideation in Medical Residents
Authors: Camarillo-Nava Víctor Manuel , López-Rojas Elizabeth , Hernández-Cid de León Sandra , Gutiérrez-Muñoz Carlos Iván , Andrade-Pineda José Elpidio , Quiroz-Cortés Gustavo David , Pérez-López Danae
Published: March 2024

Objective: to analyze the association between depression, anxiety, and burnout with the risk of academic desertion, and ideation of academic desertion in medical residents. Methods: Cross-sectional study with a sample of 200 medical residents in Mexico City. Maslach, Beck, and Hamilton scales were used to assess burnout, depression, and anxiety, respectively. The main variable was academic desertion. Statistical analysis included descriptive and inferential methods; risk was assessed by odds ratio (OR). Multivariate models were used to explore associations, with statistical significance considered at p <0.05. Results: The frequency of depression, anxiety, and burnout was 17% (n= 34), 26.5% (n= 53), and 19.5% (n= 39), respectively. The presence of depression was associated with up to a fourfold and sixfold increase in desertion and desertion ideation, respectively (OR= 4.04, 95% CI 1.41 - 11.5, p= 0.006, or 6.5, 95% CI 2.9 - 14.6, p= 0.000). Anxiety showed no association with turnover (OR= 1.02, 95% ci 0.26 - 4.01, p= 0.967). The presence of burnout doubled the risk (OR= 2.2, 95% CI 1.07 - 4.52, p= 0.001). In the multiple analysis, depression increased the risk of dropping out up to fourfold. Conclusion: The presence of depression was the disorder most associated with dropout and dropout ideation. It is necessary to establish prevention, and detection programs at medical residency sites.
Adherencia terapéutica en pacientes con diabetes tipo 2 en tratamiento con metformina y sitagliptina
Authors: Ramos-Mejía Ana Karen , Alvarado-Gutiérrez Teresa
Published: March 2024

Objetivo: estimar la adherencia terapéutica en pacientes con diabetes tipo 2, quienes han iniciado terapia combinada a base de sitagliptina con metformina. Métodos: se realizó un estudio transversal analítico, se evaluó una muestra de 320 pacientes, la cual se obtuvo mediante la fórmula para proporciones finitas por muestreo no aleatorizado por cuotas. Se evaluó la adherencia terapéutica en pacientes que iniciaron terapia de sitagliptina con metformina por medio de la escala MMAS-8 durante el periodo de marzo a septiembre de 2022. Se utilizó estadística descriptiva para variables cualitativas como frecuencias y porcentajes y para las variables cuantitativas medidas de tendencia central y dispersión. Para la estadística inferencial se utilizó X2. Resultados: 55.6% de los pacientes presentó una adherencia terapéutica media. En el análisis de la relación entre el sexo y la adherencia terapéutica, no se encontró una asociación estadísticamente significativa (p= 0.796). La variable de escolaridad mostró que la mayoría con educación básica tenía una adherencia terapéutica media, sin diferencias significativas entre los niveles de escolaridad (p= 0.89). Las comorbilidades estuvieron presentes en 80.9% de los participantes, con una predominancia de adherencia terapéutica media, sin asociación significativa (p= 0.620). Conclusión: la adherencia identificada en este estudio tuvo un grado medio. La adherencia terapéutica es un gran reto para el personal de salud, por lo que se debe investigar e incidir sobre los factores modificables para mejorarla y optimizar el control de enfermedades crónicas.
Derechos de las personas con discapacidad en la atención médica en México
Authors: Romero-Henríquez Luisa Fernanda
Published: March 2024

En México, la salud es consagrada como un derecho humano fundamental. Este enfoque va más allá de la atención médica, reconociendo la salud como un estado completo de bienestar físico, mental y social. Desde esta perspectiva, se destaca la importancia de garantizar el acceso universal a los servicios de salud, sin discriminación por ninguna causa. Esta visión inclusiva se extiende a las personas con discapacidad, considerándolas sujetos de derechos inalienables. 
La salud como derecho humano implica un compromiso integral con la atención médica, la prevención y la inclusión social, reconociendo a las personas con discapacidad y procurando una atención médica adaptada que promueva su pleno bienestar. 
Desde la perspectiva de los derechos humanos, se enfatiza la necesidad de una atención médica accesible y no discriminatoria para todos, esta concepción debe estar centrada también en la formación médica, reconociendo a los estudiantes como sujetos de derechos y la importancia de desarrollar competencias profesionales orientadas a una atención médica respetuosa y equitativa.
Reproductive and productive performance of hair sheep in a semi-intensive system in southeastern Mexico
Authors: Magaña Monforte Juan Gabriel , Tec Canché José Enrique , Segura Correa José Candelario , Aké Villanueva Jesús Ricardo , Parra Bracamonte Gaspar Manuel
Published: March 2024

Productivity measured as kilograms of lamb weaned per ewe is a composite trait of economic importance and can be used as selection criterion of maternal breeds. The objective of this study was to estimate the reproductive, preweaning growth and productivity performance of hair breed ewes, and the effect some nongenetic factors influencing them under semi-intensive conditions in southeastern, Mexico. Information of purebreds and crossbred ewes and their lambs was used to develop a composite productivity index. The final mixed model used (except for age at first lambing, AFL), included the fixed effect of breed group, year (Y, 2016-2019) and season of lambing (dry, rainy and wind and rainy), lambing number (1, 2, … ≥ 5), litter size (LS, single and double for weaning traits), and the random effects of ewe within breed group and residual error. Except for the AFL, the effect of the breed group and all other non-genetic factors were significant (P < 0.0100). No breed or crossbred was superior for all traits studied, yet Katahdin breed (K) excelled the most, despite of its reproductive performance. Traits in the productivity index (litter size at lambing, adjusted litter weaning weight and lambing interval) could not be used as an optimal indicator for the identification of the best breed for crossbreeding. The K showed the best maternal ability, except for lambing interval and AFL, influenced by all non-genetic factors which could be improved by sound flock management.
A View of Social Justice and Exploitation by Mulk Raj Anand in the Light of Gandhian Thought
Authors: Ramteke Damodhar G.
Published: March 2024

Indian author of English literature Mulk Raj Anand (12 December 1905 – 28 September 2004) was known for his portrayal of the lower castes in traditional Indian culture. Along with R. K. Narayan, Ahmad Ali, and Raja Rao, he was one of the first India-based authors in English to attain a global audience, making him a pioneer of Indo-Anglian fiction. Anand's books and short tales are considered contemporary Indian English literary classics due to their insightful depiction of downtrodden people and thoughtful examination of poverty, exploitation, and disaster.
Advancements and Perspectives in Rachana Sharir Research: A Comprehensive Review
Authors: Dhabhai Dr. Neelam , Chahar Dr. Devendra Singh , Lal Dr. Rameshwar , Sharma Dr. Sankalp
Published: March 2024

Abstract: Rachana Sharir is an essential branch of Ayurveda that deals with the structural and functional aspects of the human body. Research in this field has expanded over the years to cover a broad range of anatomical, physiological, and embryological studies. This article provides an overview of the recent advancements and perspectives in Rachana Sharir research, exploring its contemporary significance in healthcare and medical education. Through a systematic review of literature and analysis of current trends, this article highlights the evolving landscape of Rachana Sharir research, its interdisciplinary connections, and potential implications for clinical practice and education.
Real Time Water Quality Based Predictive Alert System for Aquaculture
Authors: Devanaboina Aryan Sri Venkat
Published: March 2024

Abstract: Aquaculture plays a crucial role in addressing the growing worldwide need for seafood. Nevertheless, maintaining ideal water conditions is vital for the well-being and efficiency of aquatic organisms. This initiative presents a holistic remedy for aquaculture activities: the creation of a real time water quality based predictive alert system. This system places specific emphasis on monitoring five crucial parameters: temperature, pH, and dissolved oxygen (DO), Nitrate, Turbidity. It utilizes strategically positioned sensors to provide real-time data. Through advanced analysis and deep learning models, it predicts potential issues, send alerts to the aquatic manager enabling them to proactively optimize conditions, improve aquatic health, and minimize economic losses
Android Application for Women Safety
Authors: Zagale Vaishnavi , Tigale Asiya , Todsam Bhavika
Published: March 2024

Abstract: Violence against women remains a significant societal concern. This paper introduces a novel Android application built with the Flutter framework to empower women with a tool for improved personal safety. The core feature involves realtime location sharing triggered by a discreet gesture recognition system. Shaking the device three times, for example, activates an emergency response, promptly notifying pre-selected contacts. This paper explores the innovative design and functionality of the application. It highlights the integration of advanced technology with a user-friendly interface, offering a seamless approach to personal security management. This fosters increased confidence and peace of mind. The gesture-based activation ensures discreet distress signalling , even in highly stressful situations where traditional methods may be impractical. By examining the app's features and potential impact, this paper emphasizes its contribution to creating a safer environment for women globally
Skylinker Aero Pathways
Authors: Boya Anuradha , Rao P Shreyansh Srikar , Reddy V.V.S Charan , , Reddy P Nithin Varma
Published: March 2024

Abstract: Take a journey through the skies, with SkyLinker Aero Pathways, an app that changes the game for tracking flights in time. By using ADS B data and advanced web technologies like JavaScript and React SkyLinker Aero Pathways provides a user interface for exploring air traffic movements effortlessly. Beneath its design, there's a backend system supported by RESTful APIs and cloud platforms to ensure scalability and efficient data management. With SQL and NoSQL databases handling data storage, the app seamlessly integrates WebSocket and SSE technologies to deliver updates and predictive insights to users. This combination of real-time monitoring and predictive analysis elevates the travel experience for aviation enthusiasts and regular travelers giving them a glimpse into the future of air travel. Come along as we reach heights with SkyLinker Aero Pathways, where innovation meets exploration, in the sky
ASL Spelling Detection Using Deep Learning
Authors: Rao T. Kameswara , Tanubuddi Jyothirmayee , Reniguntla Bharadwaj , Prathipati Gnana Venkat , Komma Sri Ruthuhasa
Published: March 2024

Abstract: Understanding American Sign Language is a difficult task for anyone who wish to communicate with the deaf and dumb. It creates a gap between people. This paper introduces a finger spelling recognition system designed to help bridge that gap. Our system uses a camera and specialized CNN architecture to understand hand gestures that represent letters. This approach offers a few key benefits: it uses the familiar alphabet, can be learned quickly, and works for people with different levels of hearing loss or sign language experience. This technology has the potential to make communication much easier for many people, especially in situations where spoken words or traditional signs might not be the best option. It detects the ASL alphabets and constructs words and sentences, also known as Finger-Spelling
Diabetes Prediction Using Machine Learning Algorithm
Authors: Khalate Vaishnavi , Sukeshkumar Prof. Borate
Published: March 2024

bstract: Diabetes, a chronic metabolic disorder affecting millions worldwide, requires early detection and management to mitigate its complications. Machine learning (ML) techniques have emerged as promising tools for predictive analytics in healthcare, offering the potential to improve diagnostic accuracy and patient outcomes. This paper presents a comprehensive review of ML algorithms applied to diabetes prediction, encompassing diverse methodologies and datasets. The study evaluates the performance of various ML algorithms, including but not limited to logistic regression, decision trees, support vector machines, random forests, and deep learning approaches, in predicting the onset or progression of diabetes. Additionally, feature selection techniques and data pre-processing methods are explored to enhance model robustness and interpretability. Furthermore, this review highlights the significance of dataset characteristics such as size, imbalance, and feature diversity in influencing model performance. Challenges associated with model interpretability, scalability, and deployment in clinical settings are also discussed, alongside potential strategies to address these issues. The findings suggest that ML algorithms demonstrate promising capabilities in diabetes prediction, with many studies reporting high accuracy, sensitivity, and specificity. However, there remains a need for standardized evaluation metrics and benchmark datasets to facilitate comparisons across studies. Moreover, efforts to enhance model interpretability and address data privacy concerns are crucial for promoting the adoption of ML-based predictive models in healthcare practice. In conclusion, this review underscores the potential of ML techniques in diabetes prediction and emphasizes the importance of interdisciplinary collaboration between data scientists, clinicians, and healthcare stakeholders to leverage these advancements for improved patient care and disease management
Heart Disease Detection Using Machine Learning
Authors: Verma Arpit , Pathak Mayank , Prajapati Akhilesh Kumar , Srivastava Harsh
Published: March 2024

Abstract: One of the most common tasks inmachine learning is to classify data. Machine learning is a key feature to derive information from corporate operating datasets from large databases. Machine Learning in Medical Health Care is an essential emerging field for delivering prognosis anda deeper understanding of medical data. Most methods of machine learning depend on several features defining the behavior of the algorithm and influencing the output and the complexity of the resulting models directly or indirectly. In the last tenyears, heart disease is the world’s leading cause of death. Many machine learning methods have been used in the past to detect heart disease. Neural Network and Logistic Regression are some of the fewpopular machine learning methods used in heart disease diagnosis. They analyze multiple algorithms such as Neural Network, KNearest Neighbors, NaiveBayes, and Logistic Regression along withcomposite approaches incorporating the above-mentioned heart disease diagnostic algorithms. The system was implemented and trained in the Python platform using the UCI machine learning repository benchmark dataset. For the new data collection, the framework can be extended.
Ratio of justice and sense of justice: the spread case of HIV/AIDS in Indonesia
Authors: Thahir Putri Shafarina , Sunaryo Sidik
Published: March 2024

This article discusses the integration between the ratio of justice and a sense of justice in strengthening bioethical values ​​and Islamic law. The ratio of justice is based on applicable legal norms, while the sense of justice is based on human feelings or intuition. Justice, one of the values ​​of bioethics, shows no conflict with the Islamic religion, and it is needed because bioethics emphasizes thinking development to determine the good and bad sides or ethical dimensions of biological aspects, including medical matters related to life. By approaching cases through concrete examples such as the spread of HIV/AIDS, which mainly occurs due to infidelity, positive criminal law and Islamic law have different ratios of justice and sense of justice. Sanctions in Islamic law tend to be more severe, with the application of stoning to perpetrators of adultery. However, the balance between the ratio of justice and the sense of justice here must consider the medical and beneficial impacts on society.
Plano Estadual de Saúde
Authors: Revista Baiana de Saúde Pública
Published: March 2024

Plano Estadual de Saúde

2024-2027
Effect of drought stress on grain quality of wheat and its mitigation through arbuscular mycorrhiza fungi
Authors:   Biochemistry, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125 004, India, Rani B. , Jatttan M. ,   Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125 004, India, Pooja MS. ,   Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125 004, India, Kumari N. ,   Biochemistry, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125 004, India, Prashad J. ,   Microbiology, Chaudhary Charan Singh Haryana Agricultural University, Hisar, 125 004, India, Kumari A. ,   Biochemistry, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125 004, India, Sharma K.D. ,   Plant Physiology, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125 004, India, Madan S. ,   Biochemistry, Chaudhary Charan Singh Haryana Agricultural University, Hisar-125 004, India
Published: March 2024

Aim: Grain quality is an important aspect to ensure food and nutritional security of the ever-increasing population of the world, and maintaining wheat grain quality under stressful conditions is decisive for end-use functional properties. Therefore, this study was carried out to evaluate the potential of arbuscular mycorrhizal fungi in improving grain quality under stress condition. Methodology: The present study was conducted on two wheat varieties viz. Drought tolerance (WH 1105) and drought sensitive (WH 1025) under drought stress condition. This experiment was conducted in CRD factorial design and drought stress was imposed by withholding irrigation before jointing (40-45 days) and heading (80-85 days) stages. Results: Drought stress imposed at either jointing or heading stage deteriorated all quality traits except for crude protein content and gluten content. Arbuscular mycorrhizal fungi inoculation played a significant role in enhancing the ash, moisture, crude protein, gluten, total sugar and and β-carotene contents in both varieties, however, the interactive effects were found non-significant. Crude protein, which defines nutritional properties increased by 14.6 and 15.9% in WH 1025 grains and 13.9 and 14.9% in WH 1105 grains of AMF untreated and treated plants at heading stage. In both wheat varieties, sedimentation value and grain hardiness were observed higher at heading stage as compared to the jointing stage, irrespective of AMF inoculation. Interpretation: AMF inoculation played a significant role in improving quality traits by enhancing water relations and nutrient uptake under drought conditions. Key words: Arbuscular Mycorrhizal Fungi, Drought, Grain quality, Wheat
Description of a new species of entomopathogenic nematode, Steinernema ramanai sp. n. from Kerala, India
Authors:   Division of Nematology, ICAR-Indian Agricultural Research Institute, New Delhi-110 012, India, Pervez R. , Eapen S.J. ,   Division of Crop Protection, ICAR-Indian Institute of Spices Research, Kozhikode-673 012, India, Devasahayam S. ,   Division of Crop Protection, ICAR-Indian Institute of Spices Research, Kozhikode-673 012, India
Published: March 2024

Aim: A novel species of entomopathogenic nematode (EPN) belonging to genus Steinernema was discovered in the rhizosphere of ginger grown at Kozhikode, Kerala, India. Methodology: Morphological and molecular characterization of new species of Steinernema and its phylogenetic relationships with other Steinernema species were investigated using DNA extracted and amplified rDNA of the ITS region using primers 18S (FORWARD) 5' TTGATTACGTCCCTGCCCTTT 3' and 26S (REVERSE) 5' TTTCACTCGCCG TTACTAAGG 3'. Results: New species described based on the length of infective juvenile, which was the smallest species among the described Steinernema species. S. ramanai sp. n. has five incisures in the lateral field, an elongate conoid tail that gradually tapered at the tip in infective juveniles; vulva with double flapped epipytigma and tail without post anal swelling in females; body 'J' shaped upon fixation, ten genital papillae, and a mucron on the tail terminus in males. This new species is distinguished genetically by its unique rDNA ITS region nucleotide sequence. The ITS sections of ribosomal DNA were sequenced to confirm this new species. Interpretation: Native EPNs may yield species and/or strains that are better suited for inundative release against local pests. This logic has prompted coordination of several surveys in the search for novel species and strains, particularly in areas where EPNs had previously remained undetected. Key words: Biocontrol, Morphology, Molecular characterization, Steinernema, Taxonomy
Entomopathogenic fungi, Metarhizium anisopliae as a chemical substitute for termite pest management in sugarcane
Authors:   Sugarcane Research Station (Acharya N G Ranga Agricultural University), Vuyyuru-521 165, India, Sudha Rani D. , Krishnamma K. ,   Sugarcane Research Station (Acharya N G Ranga Agricultural University), Vuyyuru-521 165, India, Rani J.S. ,   Sugarcane Research Station (Acharya N G Ranga Agricultural University), Vuyyuru-521 165, India
Published: March 2024

Aim: The present research study was undertaken to assess the efficacy of microbial and natural origin bio-pesticides in comparison to chemical control against termites infesting sugarcane. Methodology: Field trials were executed for a period of three successive seasons i.e., 2019-20, 2020-21 and 2021-22 at Sugarcane Research Station, Vuyyuru, Krishna district, Andhra Pradesh. The experiment was laid out in randomized block design with seven treatments replicated thrice and imposed the treatments as per protocol. A set of four bio-pesticides (Beauveria bassiana, Metarhizium anisopliae, Bacillus thuringiensis and Azadirachtin) and two insecticides (Imidacloprid and Bifenthrin) were evaluated for their efficacy against termite infestation in terms of both mean number of sugarcane setts infested and mean portion of setts infested by termites. Results: The chemicals imidacloprid and bifenthrin had registered highest per cent reduction of termite infestation over control. However, the biopesticides, Metarhizium anisopliae had registered least per cent reduction of mean number of setts infested with 59.95 at 60 DAP, 62.85 at 90 DAP and 56.03 at 120 DAP and mean portion of setts infested with termite was 56.20 per cent. With respect to yield also the chemical treatments viz., imidacloprid and bifenthrin had recorded higher yields with pooled mean of 77.33 and 76.78 t ha-1, followed by M. anisopliae with 73.94 t ha-1. Interpretation: Even though the chemical based treatments were found superior in reducing termite infestation, entomopathogenic fungi, M. anisopliae as biopesticide also attributed better results with regard to suppression of termite infestation and can be suggested as alternative or substitution to chemical based management. Key words: Chemical control, Entomopathogenic fungi, Metarhizium, Sugarcane, Termites
Assessment of water quality of Kot Dam, Rajasthan, India, using water quality index
Authors:   Government Girls College, Jhunjhunu-333 001, India, Singodia R.R. , Nirmal N.K. ,   Environmental Toxicology Unit, Department of Zoology, University of Rajasthan, Jaipur-302 004, India, John P.J. ,   Environmental Toxicology Unit, Department of Zoology, University of Rajasthan, Jaipur-302 004, India
Published: March 2024

Aim: To assess the water quality of Kot Dam, located in the Jhunjhunu district of Rajasthan, India. Methodology: Physico-chemical parameters of water quality were monitored for two years (July 2021 to June 2023). The Water Quality Index (WQI), a widely accepted mathematical expression used to understand the trend in the quality of water bodies, was calculated based on the analysis of physicochemical parameters, including pH, total dissolved solids, hardness, alkalinity, dissolved oxygen, biological oxygen demand, chloride, sulphate, nitrate, calcium, magnesium, conductivity, and fluoride. Results: The site-wise and season-wise analysis of WQI revealed that Dam water was polluted due to organic pollutants, agricultural runoff, and waste disposal by local people, especially during summer (WQI=87.18) and monsoon seasons (WQI=85.38). Interpretation: Anthropogenic activities adversely affected the water quality at sample station (S1) of Kot Dam. Key words: Anthropogenic activities, Bray-Curtis Similarity Index, Dendrogram, Kot dam, Water quality
Investigation on disease incidence, distribution and diversity of Begomoviruses infecting cucurbitaceous crops in North Bengal, India
Authors:   Department of Botany, University of North Bengal, Siliguri-734 013, India, Tamang S. , Saha S. ,   Department of Botany, University of North Bengal, Siliguri-734 013, India, Saha D. ,   Department of Biotechnology, University of North Bengal, Siliguri-734 013, India, Saha A. ,   Department of Botany, University of North Bengal, Siliguri-734 013, India
Published: March 2024

Aim: To study the disease incidence and diversity of Begomovirus infection and crop loss due to spread of virus across different districts of North Bengal. Methodology: Several fields in different districts of North Bengal were surveyed and potential begomoviral-infected samples were collected for further analysis. Total DNA extraction, PCR analysis, sequencing and phylogenetic analysis were conducted. Results: During 2019-2021, ten fields of each district were surveyed and begomoviral occurrence was observed in almost every field. The disease incidence in different districts varied from 15-45%. The highest disease (42.5%) incidence of was observed in the Darjeeling district while the lowest (15%) was recorded from Alipurduar district. The maximum crop loss due to Begomovirus was 64-100% in bitter gourd, 40-80% in cucumber and 20-30% in wax gourd. 153 samples from 6 different cucurbits were collected and analysed. PCR using AV494/AC1048 primers that amplified coat protein region (~550bp) showed 74% of the samples as positive. Upon sequencing and BLAST analysis, ToLCNDV, SLCCV and BGYVV were detected. In phylogenetic analysis, the isolates clustered in three separate clades based on Begomovirus species irrespective of the hosts. Present isolates showed more closeness to Indian and Bangladesh isolates. Interpretation: The documentation of disease severity caused by Begomovirus is of extreme importance for food security of the people. Present study revealed that Begomovirus is present in all the crop field studied. The results indicated an urgent need for the management of the viruses to save crops. Key words: Begomovirus, Cucurbitaceous crops, Disease incidence, North Bengal
Hepatoprotective effect of Cassia auriculata extract against ethanol-induced oxidative stress in Wistar albino rats
Authors:   Department of Zoology, Queen Mary’s College, Chennai – 600 004, India, Aarthi B.L. , Sendhilvadivu M. ,   Department of Zoology, Queen Mary’s College, Chennai – 600 004, India
Published: March 2024

Aim: To investigate the potential hepato-protective effect of Cassia auriculata leaf extract against ethanol-induced oxidative stress in albino rats, by exploring the antioxidant properties of Cassia auriculata and its ability to mitigate oxidative damage caused by ethanol consumption, and the underlying mechanisms involved. Methodology: In the present study, Group – I served as Control, Group – II (Ethanol induced group), where 50% ethanol was orally administered to the rats, Group – III (treatment group), where 250 mg kg-1 of Cassia auriculata leaf extract was orally administered to the hepato-toxic albino rats and in Group – IV, rats were treated with standard reference drug Silymarin (100 mg kg-1) followed by estimating the parameters related to oxidative stress such as TBARS and antioxidants enzyme levels such as GST, GPx, SOD and CAT in the blood and liver tissue samples. Phytochemical analysis of Cassia auriculata leaf powder was conducted to determine the active phytoconstituents. Results: Treatment with Cassia auriculata extract significantly (p<0.001) reduced the damage caused by oxidative stress by decreasing the levels of TBARS and significantly (p<0.001) elevated the levels of antioxidant enzymes such as GST, GPx, SOD and CAT in the serum and liver samples. Interpretation: The present study provides an opportunity to explore the potential therapeutic properties of Cassia auriculata in combating ethanol-induced oxidative stress. Key words: Albino rats, Cassia auriculata, Ethanol, Oxidative stress
Effect of pre-treatment of chicken feather on the degradation potential of Glutamicibacter arilaitensis
Authors:   Department of Zoology, Thiagarajar College, Affiliated to Madurai Kamaraj University, Madurai–625 009, India, Chellapackialakshmi M. , Packialakshmi A. ,   Department of Zoology, Thiagarajar College, Affiliated to Madurai Kamaraj University, Madurai–625 009, India, Ravi C. ,   Department of Zoology, Thiagarajar College, Affiliated to Madurai Kamaraj University, Madurai–625 009, India
Published: March 2024

Aim: Conventional management techniques for chicken feather waste are either ineffecient or costly; hence, as an alternative, a study was designed to examine the degradation capacity of G. arilaitensis on acidic and alkaline pre-treated feathers. Methodology: Chicken feathers were pre-treated with 0.1 and 0.2 N HCl and NaOH, which were provided as the only carbon source for Glutamicibacter arilaitensis culture. Parameters such as growth, protein and amino acid content were determined at an interval of 24 hrs for five days. The impact of pH and temperature on the growth of G. arilaitensis was investigated and the degree of degradation was determined by smear method. The effect of temperature and pH on the synthesis of protein and amino acid was screened statistically using a central composite design. Results: The pre-treatment category with 0.1 N NaOH showed significant degradation and evidenced by the disruption of feather structure, within two days at 37°C and pH 10.5 respectively. Maximum protein (1.81±0.03 mg ml-1) and amino acid (1.54±0.3mg ml-1) were produced in 0.1 N NaOH pre-treated feathers substituted medium for two days at 37°C and pH 10.5 and it were found to be statistically significant at F values of 15.48 and 12.98 (P<0.0012 and P<0.0309). Interpretation: Feathers will decompose wonderfully if they are pre-treated with 0.1 N NaOH for two days and supplied as a substrate for G. arilaitensis at 37°C and pH 10.5. Key words: Degradation, Keratinolytic bacteria, Pre-treatment, Protein production
Designing of a novel and potent HPV66 L1 major capsid protein-epitope based therapeutic vaccine against Human Papillomavirus (HPV): A bioinformatics approach
Authors:   Centre for Drug Discovery and Development, Sathyabama Institute of Science and Technology, Chennai-600 119, India, Ganesh Kumar S. , Krupakar P. ,   Centre for Drug Discovery and Development, Sathyabama Institute of Science and Technology, Chennai-600 119, India, Sakthivel J. ,   Centre for Drug Discovery and Development, Sathyabama Institute of Science and Technology, Chennai-600 119, India, Chirayu P. ,   Lifecell International Pvt. Ltd., Chennai-600 017, India
Published: March 2024

Aim: Oncogenic human papillomaviruses (HPV) cause various types of cancer, including cervical cancer. The main protein of HPV is capsid, targeted in many vaccine attempts. However, these vaccines do not cover enough high-risk HPV serotypes. Therefore, a low-cost potential HPV vaccine to protect against all serovars of the α-papillomaviruses family would be promising in the future. Our study aimed to develop a therapeutic epitope vaccine for HPV using bioinformatics methods. Methodology: Bioinformatics approach was followed to analyze and identify potential T-cell and B-cell dominant epitopes of HPV-66 L1 major capsid protein. Additionally, various aspects of this protein were examined, including its physico-chemical properties, and secondary and tertiary structures. These analyses helped us to design an effective HPV infection therapeutic vaccine. Results: The findings revealed that the L1 major capsid protein was unstable and hydrophilic. The secondary structure of this protein composed 39% α- helices, 17.97% β sheets and 31.80% loops. Our study demonstrated 19 dominant epitopes of HPV-66 L1 major capsid protein including 5 B-cell epitopes and 14 T-cell epitopes (10 HTL epitopes, and 4 CTL epitopes) for a novel vaccine candidate. Interpretation: This study provides a comprehensive biological information about the HPV-66 L1 major capsid protein, which will serve as a theoretical foundation for developing a multi-epitope vaccine against HPV infection. Key words: B-cell epitope, Cervical Cancer, Human papillomavirus, HPV66 L1 major capsid protein, T-cell epitope
Dynamic Modeling and Simulation of Natrium Energy Island with Molten Salt Energy Storage
Authors: Dana Seth J. , Meek Aiden S. , Bryan Jacob A. , Basnet Manjur R. , Wang Hailei
Published: March 2024

The increasing installment of solar and wind renewable energy systems
create a volatile energy demand to be met by electricity providers. A
nuclear hybrid energy system is a nuclear reactor with energy storage
that integrates into the grid with renewable energy sources. The Natrium
design by TerraPower and GE Hitachi is a sodium fast reactor with molten
salt energy storage. The Natrium design operates at steady state of 345
MW and can boost up to 500 MW for
5.5 hours. This study uses Dymola and the Modelica language to model the
Natrium-based NHES. The dynamic system model is tested using hourly
historical data form Texas (ERCOT) 2021 to show how renewables affect
the electricity demand and how energy storage affects the Natrium system
response to the demand. According to the results, while the available
storage will allow the Natrium design to boost electricity production
when the demand and electricity price is high making it more
economically viable, the current molten salt storage is undersized for
the ERCOT market.
Improvement of TaC9-ABE mediated correction of human SMN2 gene
Authors: Chen Min , Peng Xiaohua , Chi Yue , Wang Jinling , Li Shuangpeng , liu Yang , Tang Chengcheng , Zhou Xiaoqing , Lu Xuan , Gao Yue , Lai Liangxue , Zou Qingjian
Published: March 2024

Spinal muscular atrophy (SMA) is a devastating neuromuscular disease
caused by mutations in the survival motor neuron 1 ( SMN1) gene.
Gene editing technology repairs the conversion of the 6th base T to C in
exon 7 of the paralogous SMN2 gene, compensating for the SMN
protein expression and promoting the survival and function of motor
neurons. However, low editing efficiency and unintended off-target
effects limit the application of this technology. Here, we optimized a
TaC9-adenine base editor (ABE) system by combining Cas9 nickase with the
transcription activator-like effector (TALE)-adenosine deaminase fusion
protein to effectively and precisely edit SMN2 without detectable
Cas9 dependent off-target effects in human cell lines. We also generated
human SMA-induced pluripotent stem cells (SMA-iPSCs) through the
mutation of the splice acceptor or deletion of the exon 7 of
SMN1. TaC9-R10 induced 45% SMN2 T6>C
conversion in the SMA-iPSCs. The SMN2 T6>C
splice-corrected SMA-iPSCs were directionally differentiated into motor
neurons, exhibiting SMN protein recovery and anti-apoptosis ability.
Therefore, the TaC9-ABE system with dual guides from the combination of
Cas9 with TALE could be a potential therapeutic strategy for SMA with
high efficacy and safety.
MDMA enhances early visual processing for salient socio-emotional stimuli.
Authors: Haggarty Connor , Bershad Anya , Kumar Mahesh , Lee Royce , Wit Harriet de
Published: March 2024

3,4-methylenedioxymethamphetamine (MDMA) has long been used
non-medically, and it is currently under investigation for its potential
therapeutic benefits. Both uses may be related to its ability to enhance
empathy, sociability, emotional processing and its anxiolytic effects.
However, the neural mechanisms underlying these effects, and their
specificity to MDMA compared to other stimulants, are not yet fully
understood. Here, using electroencephalography (EEG), we investigated
the effects of MDMA and a prototypic stimulant, methamphetamine (MA), on
early visual processing of socio-emotional stimuli in an oddball
emotional faces paradigm. Specifically, we examined whether MDMA or MA
enhance the processing of facial expressions, compared to placebo,
during the early stages of visual perception. MDMA enhanced an
event-related component that is sensitive to detecting faces (N170),
specifically for happy and angry expressions compared to neutral faces.
MA did not affect this measure, and neither drug altered other
components of the response to emotional faces. These findings provide
novel insights into the neural mechanisms underlying the effects of MDMA
on socio-emotional processing and may have implications for the
therapeutic use of MDMA in the treatment of social anxiety and other
psychiatric disorders.
Demographics, Histopathology, and Treatment Outcomes of Squamous Cell Carcinoma of the Prostate
Authors: Larkins Michael , Gordon Julian A. , Siripurapu Vaishnavi , Bhatt Arjun , Pasli Melisa , Armel Kristen , Velez-Martinez Carol , Mitsakos Anastasios , Burke Aidan , Peach M. Sean
Published: March 2024

Background: Squamous cell carcinoma of the prostate (SCCP) is a neoplasm
that comprises fewer than 1% of all primary prostate cancer diagnoses.
Given its rarity, there is a paucity of data regarding the treatment of
this disease. The limited literature points to the potential of local
therapy in conjunction with chemotherapy to improve patient mortality.
Methods: Using the National Cancer Initiative’s Surveillance,
Epidemiology, and End Results (SEER) database, we conducted a
retrospective analysis for patients diagnosed with primary SCCP between
2000 and 2018. We analyzed patient demographics, tumor characteristics,
such as histology, and patient outcomes based on treatment modality. We
generated Kaplan-Meier five-year overall survival (5y OS) curves for
these variables. Results: A total of 66 patients were identified.
Five-year overall survival was 18%; median overall survival was 13
months. Patients with Grade II and below disease had an increased 5y OS
of 48%, compared to 10% for patients with Grade III and Grade IV
disease (p < 0.05). Analysis of the 5y OS based on disease
histology revealed patients with papillary SCC had a 5y OS of 50%,
compared to 26% for patients with papillary carcinoma, not otherwise
specified. Analysis of 5y OS stratified by treatment modality revealed
no statistically significant change with any treatment (surgery,
radiotherapy, and chemotherapy). Conclusions: The literature on SCCP
remains sparse; the rarity of this disease limits analysis. While the
investigation undertaken in this paper does not find any change in 5y OS
regardless of treatment modality, the variation in 5y OS based on
histologic classification of SCCP points to a potential route for the
future treatment of this disease.
An improved Artificial Bee Colony algorithm for feature selection combined with SVM-adaboost ensemble model for the prediction of SMEs credit risk considering digital transformation influence
Authors: wen xuezhou , bai lu
Published: March 2024

：Prediction for enterprise credit risk in the era of the
digital economy is important for early credit crisis warning. Existing
evaluation methods for small and medium-sized enterprises (SMEs) credit
levels simply using financial information have two major limitations.
Firstly, it relies heavily on financial reports to ignore the soft
information related to enterprise digital development. Secondly, both
the process of feature selection and unbalanced sample could influence
the prediction performance of model. Therefore, we introduce a novel
credit risk prediction method for SMEs and improved Artificial Bee
Colony (ABC) algorithm for feature selection (IABCFS). Firstly, we
expand the evaluation system for credit risk with features on digital
transformation, and combine SMOTE algorithm with Tomek Link Removal to
do the work of data cleaning. Then we introduce an initialization method
based on Tent Chaotic Map and improve the standard ABC algorithm by a
new search strategy to increase the efficiency of feature selection
process. To further decrease the redundancy between features, we use
Symmetric Uncertainty (SU) to construct the fitness function. Finally,
we develop a prediction method of credit risk based on IABCFS combined
with an SVM-Adaboost ensemble model. The experiments indicate that the
improvement for IABCFS is effective and our proposed method achieves
competitive results both on a Chinese SMEs dataset and three public
datasets.
Mapping hernia repair procedures among the Australian adult population from 2017 to 2021
Authors: Le Thi Nga , Afshar Mohammad , Gadzhanova Svetla , Lim Renly , Bala Indu , Kumsa Netsanet , Gillam Marianne
Published: March 2024

Despite of high annual rate of surgery worldwide, few national-level
studies have explored the epidemiological aspects of various types of
hernia repairs. Our study aims to examine the 5-year prevalence of
hernia repairs in Australian adults. The number of hernia repair
surgeries for femoral, inguinal, incisional, other abdominal, and
epigastric hernias were extracted from the Australian Institute of
Health and Welfare (AIHW) database from financial year (FY) FY2017 to
FY2021. We calculated age-specific prevalence and prevalence ratio (PR)
with a 95% confidence interval (CI) to compare the prevalence of hernia
repairs by age group and sex. The highest prevalence per 100,000
population of hernia repairs was found in inguinal (223), followed by
epigastric (111), other abdominal (59), incisional (52), and femoral
hernia (10). People over 65 years old had highest PR of hernias. There
was a gender-wise variation across types of hernia procedures. Around
89.6% of patients with inguinal hernia repairs were males, while only
10.4% were females. The PR was lower in males for femoral and
incisional hernia when compared two genders with corresponding age
groups. Women in the pregnancy group (20-39 years) had a high risk of
ventral hernia repair when compared to males. Groups of patients who
have higher risks of hernia repair should be prioritized for healthcare
service delivery, but more research is needed in hernia epidemiology, in
Australia and internationally. Our study could serve as a national and
international reference for hernia repair studies, particularly for low-
and middle-income countries with limited nationwide large-scale data.
Trust Management in a Friend-to-Friend Network
Authors:   Department of Computer Sciences Lagos State University of Science and Technology Ikorodu, Lagos State, Nigeria., Aderibigbe O.S.
Published: March 2024

Trusting a person that one has not had any collaboration with is risky, but when there is a trust relationship the feeling of being vulnerable or that others can take advantage of the trustee will not be there. Moreover, a trusted friend can equally change and become dubious since trust is not immutable and it changes from time to time. There is a need for mechanisms that will guarantee and enforce normative behaviours and at the same time, increase online collaboration by stimulating potential users’ trust towards the friends on the network. This research leveraged on Distributed Hash Table (DHT) and the Symmetric Replication Technique (SRT) to ensure availability of trust data for trust computation. To be able to use the DHT and the SRT, the concept of trustworthiness was conceptualized and operationalized into personal trust, reputational trust and recommendation trust. The architecture of the Trust Aware Model deployed on the F2F network, performed the function of peer trust update with respect to a peer’s collaborating level of trustworthiness thereby enabling effective management of trust in an F2F network that will bring about a robust F2F collaboration. Keywords: Trust Management, Collaborative Model, Distributed Hash Table, Symmetric Replication Techniques CISDI Journal Reference Format Aderibigbe, O.S. (2022): Trust Management in a Friend-to-Friend Network. Computing, Information Systems, Development Informatics & Allied Research Journal. Vol 13 No 2. Pp 73-.80. Available online at www.computing-infosystemsjournal.info CrossREF DOI No - dx.doi.org/10.22624/AIMS/CISDI/V13N2P7
Performance Assessment of Collaborative Trust Models
Authors:   Department of Computer Sciences Lagos State University of Science and Technology Ikorodu, Lagos State, Nigeria., Aderibigbe O.S. , Okunade T.A.
Published: March 2024

This study assessed existing Collaborative Models for trust awareness to ensure effective friend-to-friend collaboration in an overlay network for better control of private data towards a robust social media interaction. The result obtained showed that the Trust-Aware Model (T-AM) demonstrated significant reliability regarding recommendation accuracy and convergence. This was because benchmarking the result from assessing the T-AM with the result from that of assessing existing collaborative models, showed that the T-AM had an accuracy of 0.875, and that of the existing collaborative model was 0.750. While the T-AM had a convergence value of 0.125, that of the existing collaborative model was 0.250. The existing model had an effectiveness value of 0.1875, while the T-AM had an effectiveness value of 0.1094. This implies that the T-AM provided improved recommendation accuracy considering the standard scale of 0 to 1, and convergence (in terms of time) on a scale of 0 to 1. The implication of this is that the T-AM’s ability to make recommendations is very significant since its accuracy value was 0.875 as compared to 0.750 of the existing collaborative models. For convergence, based on the scale rating provided above, it means that the T-AM provided accurate recommendations in a convergence of time of 0.125 as compared to 0.250 for the existing collaborative model. However, in terms of effectiveness, the T-AM performed less with an effectiveness value of 0.1094 as compared to the effectiveness value of 0.1875 of the existing collaborative models. The study concluded that trust data was effectively managed using the distributed hash table and symmetric replication methods, with significant improvement in reputational accuracy and convergence without compromising on scalability and secured online collaboration. Keywords: Trust Awareness, Effectiveness, Convergence, Accuracy, Collaborative Model