bluuebunny/crossref_metadata_2025 huggingface dataset:
Integration of Nonlinear Dynamics in Blockchain Security Protocols
Authors: Haval Abhijeet Madhukar
Published: January 2024

Because of its ability to completely revamp current blockchain security methods, this connection is crucial. An effective safeguard against complex assaults, Nonlinear Dynamics (ND) adds a living, breathing component to consensus methods and cryptographic primitives. There is an urgent need for creative, nonlinear methods to strengthen blockchain security in light of present challenges including increasing attack vectors and risks posed by quantum computing. The suggested Dynamic Chaos-based Blockchain Security (DC-BS) system in this paper makes use of the chaotic dynamics present in ND to strengthen various aspects of blockchain security. Adaptive threat detection systems, dynamic consensus methods, and chaos-based encryption are all newly introduced in DC-BS. Validation of DC-BS's efficacy in preventing various attack scenarios through simulation studies demonstrates its advantages in reducing vulnerabilities and responding to new attack types. Various decentralized systems can benefit from DC-BS, including as supply chain management, the Internet of Things (IoT), conventional blockchain networks, and decentralized finance (DeFi). To strengthen the security of various decentralized applications, DC-BS works to increase trust, transparency, and resilience. The effectiveness of DCBS is confirmed by thorough simulation analyses that cover a wide range of attack scenarios, including double-spending assaults, Sybil attacks, and eclipse attacks. Based on the results of the simulations, DCBS is much more effective than conventional blockchain security procedures at reducing these risks. Showcased as well is the technique's capacity to react to changing attack techniques, highlighting its capacity to provide strong security even in dynamic settings.
Applied Nonlinear Analysis, Machine Learning, and the Opening of New Realms in Virtual Communication Technology
Authors: Prasanna Palsodkar Et al.
Published: January 2024

This work investigates the revolutionary synergy that results from the confluence of machine learning techniques, virtual communication technology, and applied nonlinear analysis. The swift development of digital interfaces presents a significant chance to leverage the concepts of nonlinear analysis and the capabilities of machine learning algorithms to establish innovative approaches in virtual communication. This paper explores the fusion of these fields and offers a framework that uses predictive algorithms and nonlinear modelling to push the frontiers of virtual communication technology. The study commences with clarifying the basic principles of nonlinear analysis and its applicability in the modelling of intricate systems. It also explores how machine learning methods, such as deep learning architectures and neural networks, might be used to comprehend nonlinear dynamics and improve the predictive powers that will be essential for future virtual communication platforms. The combination of these approaches and cutting-edge virtual communication technologies creates previously unimaginable opportunities in immersive and interactive virtual worlds, completely transforming connectivity and human interaction. Additionally, by giving case studies that demonstrate the effective implementation of these strategies in actual situations; this research explores the practical consequences of such integrative approaches. In these digitally mediated places, the article demonstrates the potential for improving user experiences and establishing deeper connections through personalised virtual environments and adaptive communication interfaces. A rich environment for invention and research is provided by the combination of nonlinear analysis, machine learning, and virtual communication technologies. The convergence of these domains not only drives the advancement of digital communication but also opens the door to new, immersive human-computer interactions that surpass current limitations, indicating a future in which virtual communication technology permeates every aspect of our existence.
Mathematical Analysis of Different Learning Approaches on User Behavior and Contextual Evaluation for Sarcasm Prediction
Authors: L.K. Ahire Et al.
Published: January 2024

A large number of people have been using social media platforms extensively to communicate their thoughts and feelings in the recent era of social networking. Both the user base and data volume on social networks are growing quickly every day. Any time an event or activity occurs nearby, nearby individuals express their thoughts and reactions on social media. When a new product is introduced, users on social media platforms also comment on it. Some people express their views or feelings using informal or complex language which makes it difficult to understand for another user. It is challenging to ascertain the true thoughts because different people express their opinions in complex ways. In this study, the various factors that affect these feelings are briefly discussed. In order to identify sarcasm on Twitter, a generic technique is also necessary in addition to the tweet's content. The proposed approach uses contents of tweet in association with important aspects like user behavior and context of tweet. By users’ behavior we can identify its influence on other users and context is required to identify user behavior while detecting sarcasm. Proposed approach uses user behavior pattern and personality features along with contextual data. This all information and the already known sarcasm prediction mechanism will help us to set up the generic approach to detect sarcasm on Twitter.
Mathematical Modelling and Statistical Analysis of Improved Grey Wolf Optimized Maximum Tracking for Solar Photovoltaic Energy System Under Non Linear Operational Conditions
Authors: Sunil Kumar Gupta Et al.
Published: January 2024

IAs the utilization of solar photovoltaic (PV) energy systems continues to expand, the efficient extraction of energy under non-linear operational conditions becomes paramount. This research focuses on the development and enhancement of a Maximum Power Point Tracking (MPPT) algorithm, specifically tailored for solar PV systems, through the integration of Improved Grey Wolf Optimization (IGWO) techniques. The study utilizes mathematical modeling and statistical analysis to evaluate the performance of the proposed IGWO-based MPPT algorithm.    This research, we first establish a comprehensive mathematical model of a solar PV energy system that accurately represents its non-linear operational characteristics, taking into account factors such as temperature variations, shading effects, and changing environmental conditions. Subsequently, we introduce the Improved Grey Wolf Optimization algorithm to optimize the MPPT process, aiming to enhance energy extraction efficiency by dynamically adapting to varying conditions. The statistical analysis includes the comparison of the IGWO-based MPPT algorithm with conventional MPPT methods, such as Perturb and Observe (P&O) and Incremental Conductance (IncCond), under various non-linear operational scenarios. Key performance metrics, including energy conversion efficiency, response time, and tracking accuracy, are thoroughly evaluated to assess the algorithm's effectiveness in real-world conditions. The results of this study demonstrate the superior performance of the IGWO-based MPPT algorithm in enhancing the energy harvesting capabilities of solar PV systems under non-linear operational conditions. The proposed approach not only improves the overall energy conversion efficiency but also reduces the adverse effects of environmental variables on the system's performance. In conclusion, the integration of Improved Grey Wolf Optimization into the MPPT process represents a promising advancement in the field of solar photovoltaic energy systems. The mathematical modeling and statistical analysis conducted in this research provide valuable insights into the practical benefits of this approach, paving the way for more efficient and reliable solar energy utilization in the future.
Three Persons Satisfactory Roommates Problem with Incomplete List
Authors: N. Logapriya, Et al.
Published: January 2024

The Satisfactory Roommates Problem (SFRP) is the problem of finding satisfactory matching between any pair of roommates.  In the complete list (SFRP) each person in the set of even cardinality  ranks the  others in order of preference. In the incomplete list (SFRPI) there is some member in the group prefers less than  members. There are people in this Three Persons Satisfactory Roommates Problem with incomplete list (TPSRPI), and each person has a preference list for their two companions. Some people have preferences that are fewer than .  A set of triples is referred to as a matching. A new, complex algorithm for locating perfect triples in rooms is presented in this study.
Statistical Analysis of Financial Choices Among Working Women in Higher Education: A Mathematical Modeling Approach
Authors: Girish Chhimwal Et al.
Published: January 2024

In the dynamic economic landscape, the increasing significance of financial behaviours and choices of women in the higher education sector is recognized. A robust mathematical modelling approach is employed in this study to analyze the financial patterns of women employed in higher education institutions (HEIs) in India, with their unique financial challenges and opportunities being acknowledged. Their income, savings, expenses, and investment behaviours are examined, providing a comprehensive view of their financial situation. Various statistical tools and models constitute the core of our methodology. Basic statistical measures such as mean and median are initiated with, in order to gain an initial understanding of their general financial tendencies. This is deemed essential for the establishment of a baseline financial landscape. Dispersion measures like variance and standard deviation are subsequently utilized to assess the variability and stability in their financial behaviour, which is crucial for understanding their financial risk and stability. Linear trend models for time series analysis of income and expense patterns are included in our analysis, offering insights into long-term financial trajectories that are deemed important for strategic planning and policy making. The relationship between income and expenses is also examined through the utilization of Pearson’s correlation coefficient and linear regression models, shedding light on how changes in income affect spending patterns. Additionally, ratios such as the expense-to-income and savings ratios are calculated, providing a nuanced perspective on financial management. Higher-order statistical measures such as skewness and kurtosis are employed to facilitate an understanding of the distributional characteristics of their financial data. Time-series-specific metrics like autocorrelation functions and moving averages are utilized to enrich our understanding of financial trends. Finally, key financial health indicators like the debt-to-income ratio and disposable income are evaluated, which are crucial for assessing the financial well-being of these women. This study not only highlights the current financial state of women in HEIs in India but also contributes to the development of tailored financial programs and policies with the aim of fostering financial stability and growth in higher education.
Exploring Applied Nonlinear Analysis and Machine Learning in the Evolution of Communication Technology
Authors: Sunil M Sangve Et al.
Published: January 2024

The combination of machine learning and applied nonlinear analysis has greatly aided the advancement of communication technologies. This collaboration has transformed the industry and sped up developments across a number of fields. Because of its emphasis on complex system dynamics, nonlinear analysis has contributed to a deep understanding of complex communication behaviours, which has made it possible to create systems that are more reliable and effective. Concurrently, machine learning methodologies have enhanced this domain by permitting the handling of extensive datasets and the identification of complex patterns, hence optimising network efficiency and flexibility. The fusion of these fields has produced ground-breaking discoveries. The use of machine learning and nonlinear analysis has improved signal processing in telecommunications and data transmission, enabling more dependable and rapid data transport. Furthermore, by enabling the development of adaptive and self-organizing networks, these technologies have improved network coverage and signal propagation in wireless communication. By facilitating the identification of intricate patterns in communication data, this convergence has also accelerated improvements in cybersecurity by strengthening networks against ever-evolving attacks. Moreover, predictive modelling in communication systems has been improved by the use of machine learning algorithms in nonlinear analysis. These methods provide insights into future network behaviour and support proactive system management. The combination of machine learning and applied nonlinear analysis is a fundamental aspect of the development of communication technology. The interaction of these domains has improved communication systems' dependability and efficiency while also opening doors for creative thinking and fostering the ongoing development of this vital area of technology.
Innovations in Computational Approaches for Nonlinear Problems and Complex System Simulations
Authors: Shritika Waykar Et al.
Published: January 2024

Nonlinear problem solving and complex system simulation have become critical issues in many fields of science. The development of novel computational methods is crucial to understanding these complex systems. In this abstract, we explore the dynamic landscape of computational techniques, focusing on their uses in simulating complex systems and tackling nonlinear challenges. Creating complex algorithms that can deal with nonlinearity, chaos, and emergent behaviours is where it's at. Tools for modelling and comprehending such complex systems are few, but machine learning, artificial intelligence, and evolutionary computation are at the forefront. The way problems are solved has been completely rethought because of their nonlinearity-tolerance and ability to operate in high-dimensional domains. In addition, novel opportunities have arisen due to the combination of classical mathematical models with computer methods. The behaviour and emergent features of complex systems are best understood by hybrid approaches that combine differential equations, agent-based modelling, and cellular automata. These techniques provide a fine-grained comprehension of component interactions, illuminating emergent events. Moreover, the advent of high-performance computing has substantially expanded the breadth and resolution of simulations. Scientists are now able to probe increasingly complex systems, shedding light on their dynamics and behaviours. Computational capacities have been vastly improved by parallel computing, distributed systems, and cloud computing infrastructures, allowing for the study of systems that were once thought to be intractable. Nonlinear issues and complex system simulations can benefit greatly from the combination of cutting-edge computational approaches with domain-specific expertise. This abstract is a testament to the expanding significance and potential of these computational approaches in understanding complex systems and opening up new frontiers for research and solving problems.
Generalization of Classical Summation Relation of Certain Appell’s Double Hypergeometric Functions Associated with Theory of Approximation
Authors: Madhav Prasad Poudel Et al.
Published: January 2024

In this research note, we have obtained some new classical summation relations of certain Appell’s double hypergeometric functions associated with theory of approximation. This novel relation include, as special case, a set of well-known results. It studies the famous works of the authors [1], [2], [14], [15], [33] –[38].
Manual de establecimiento y manejo de sistemas agroforestales para restauración y recuperación productiva de suelos degradados o afectados por incendios forestales
Authors:   Instituto Forestal (Chile), Sotomayor Alvaro , Lucero Alejandro , Avila Alberto , Villarroel Arnoldo
Published: January 2024

El objetivo de este manual, que se basa en los contenidos expuestos en los Manuales N° 41, 43 y Cartillas Agroforestales N°4 y N°7, sobre sistemas silvopastorales, cortinas cortavientos, y protección y recuperación de cursos de aguas, y beneficios ambientales, y se amplía a otros aspectos, como agrosilvicultura, restauración agroforestal y recuperación productiva, es entregar antecedentes sobre principios fundamentales para la planificación, establecimiento, manejo y correcto funcionamiento de los Sistemas Agroforestales, con especies exóticas comúnmente usadas en el sector forestal, y también con especies nativas, que pueden ser usadas en acciones de restauración de áreas afectadas por incendios forestales, y para recuperación productiva y ambiental de suelos degradados y protección y recuperación de cursos de aguas degradadas por acción humana o por incendios.
Esclavos y esclavistas en el desierto: trabajo y relaciones sociales en torno a la esclavitud negra durante la protoindustrialización minera (Tarapacá, 1765-1845)
Authors: Lo Chávez Damián , Cortés Carolina
Published: January 2024

La esclavitud negra en Tarapacá es un capítulo de la historia poco conocido. La industria, el salitre y el movimiento obrero acapararon la atención de la historiografía sobre la actual región de Tarapacá. En contraste, en el pasado colonial y peruano, permanecen sujetos históricos parcialmente olvidados por la historiografía. Nuestro objetivo es ofrecer una perspectiva más profunda respecto de la trayectoria de las personas afrodescendientes y la relación social que supuso la esclavitud más allá de la acotada bibliografía disponible. Este artículo ofrece un avance en la comprensión de una relación social de propiedad y trabajo definida por una categoría étnica que persistió hasta el siglo XIX en un territorio y tiempo caracterizado por la expansión minera y la protoindustrialización del desierto que precedieron a la moderna industrialización.
COVID-19 Salgını Sürecinde Fiziksel Aktivitenin Ergenlerin Psikolojik İyi Oluşları Üzerine Yordayıcı Etkisi
Authors: DALDAŞ Ayşe Özge , ERTURAN Gökçe
Published: January 2024

Bu araştırmanın amacı, COVID-19 salgını sürecinde fiziksel aktivitenin ergenlerin psikolojik iyi oluş parametreleri üzerine yordayıcı etkisini incelemektir. Toplam 1041 (560 kız, 481 erkek; Xyaş = 15,59±2,46).) lise öğrencisi uygun örnekleme yöntemi ile araştırmaya dahil edilmiştir. COVID-19 salgını kısıtlamalarında eve kapanmanın sonrasında okulların açıldığı 2021-2022 eğitim-öğretim yılında, gerekli izinler alındıktan sonra veriler toplanmıştır. Öğrencilerin depresyon, mutluluk, öznel zindelik, fiziksel aktivite, mental iyi oluş ve yaşam doyumu düzeylerini ölçen ölçek paketi, beden eğitimi ve spor ders saatlerinde uygulanmıştır. Verilerin toplanması sırasında öğrencilere, COVID-19 salgını kısıtlamaları sırasındaki dönemi düşünmeleri istenmiştir. Verilerin analizinde fiziksel aktivitenin her bir psikolojik sağlık değişkeni üzerine yordayıcı etkisini tespit etmek için doğrusal basit regresyon analizi uygulanmıştır. Ergenlerin fiziksel aktivite düzeyinin mental iyi oluş, öznel zindelik ve mutluluk düzeyleri üzerine pozitif anlamlı yordayıcı etkisi olduğu, depresyon ve yaşam doyumu düzeyleri üzerine anlamlı yordayıcı etkisi olmadığı görülmüştür. Bu çalışma, fiziksel aktivitenin, salgın gibi olağanüstü koşullarda bile psikolojik sağlığın önemli bileşenlerine yaptığı pozitif etkiyi kanıtlaması bakımından beden eğitimi öğretmenlerine, öğretmen yetiştiren kurumlara ve Millî Eğitim Bakanlığına önemli bilgiler sağlamaktadır.
Investigation of the Relationship Between Weight Bias Internalization and Negative Body Talk in Women who Regularly Exercise Considering Age and Body Mass Index Variables
Authors: ESİN İlayda , AKGÜL Mehmet Haşim
Published: January 2024

This study aims to investigate the correlation between internalized weight bias and negative body talk among women who engage in regular exercise, considering age and body mass index variables. In this context, a correlational research design, one of the quantitative research methods, was used. The study sample comprises 310 women (mean age=31.13±12.51) who exercise regularly. The data was collected using the Two-Factor Internalized Weight Bias Scale (IWBI-2F) and the Negative Body Talk Scale (NBTS). The data was analyzed using the IBM SPSS Statistics 22 software package. Correlation analysis investigated the relationship between the WBI-2F and NBTS subscales with body mass index variable. In addition, a one-way analysis of variance (ANOVA) was conducted to examine potential differences in the scales based on age and body mass index variables. Furthermore, a multiple linear regression analysis was conducted to identify the predictors for both scales. Upon examination of the findings, it was determined that there was a statistically significant difference between the body concerns sub-dimension of the age variable and the weight related stress sub-dimension, as well as the body examines sub-dimension of the body mass index variable. According to the results of multiple regression analysis, body concerns, and body comparison subscale scores were found to be significant predictors of stress scores. As a result, the research findings also observed that as the body mass index increases, weight related stress (a sub-dimension of WBI-2F) and body concerns (a sub-dimension of NBTS) also increase positively.
Reseña al libro de Pierre Dardot, La memoria del futuro: Chile 2019-2022
Authors: Jeanneret-Brith Francisco Javier
Published: January 2024

Datos del autor: Pierre Dardot es doctor en Filosofía, profesor emérito de la Universidad de Nanterre (Paris-X) e investigador adjunto del laboratorio Sophiapol, de la Unidad de Investigación en Sociología, Filosofía y Antropología Política de la misma universidad. Junto a Christian Laval fundaron y lideran el grupo de estudio Question Marx. El profesor Dardot es especialista en Marx y Hegel, y sus trabajos se inscriben en el horizonte de la crítica política de la sociedad contemporánea, profundizando, principalmente, en cuatro líneas de investigación: el pensamiento de Karl Marx; el análisis del neoliberalismo; Común, como una indagación en las alternativas al neoliberalismo; y la soberanía estatal en Occidente. En esta última línea de trabajo es donde podemos enmarcar el libro reseñado.
Manifestation of Pharmaceuticals and Personal Care Products (PPCPs) and studies of Physico-chemical parameters of Morna River, Akola
Authors: Malpani H.S.
Published: January 2024

Rivers are not only most crucial natural habitat for variety of living things but also serve as life line for humans and other terrestrial animals. River water is used for a variety of purposes by humans including for drinking purposes. Cultural activities like river dumping lead to change in various parameters of water bodies. After detailed survey and analysis of Morna river in and around Akola city, total 20 sampling sites were identified for investigation of presence of PPCPs and physiochemical parameters. All samples were processed for pH, Temperature, suspended solids, Sulphates, Nitrates, Total Hardness, Dissolved oxygen, biochemical oxygen demand and PPCPs like Parabens, caffeine and sodium lauryl sulphate. pH of all samples was alkaline and was in the range of 7.20- 8.23, high amount of organic matter and river dumping resulted DO in the range of 1.62-5.28 mg/l while highest BOD value was found to be 61.5 mg/l. Sulphates and nitrates were present in the range of 78.09 -218.60 mg/l and 0.11-1.42 mg/l. Highest number of suspended solids reported was 110 mg/l, total hardness was reported in range of 100-296 mg/l. Around 75% of water samples were positive of Parabens and 85% were positive for caffeine whiles 100% studied samples were positive of Sodium Lauryl sulphate (SLS). River dumping and untreated sewage discharge lead to affect parameters of water body even presence of PPCPs is serious threat to aquatic habitat and mankind.
Response of Nutrient and Weed Management Techniques on Semi Dry Rice Growth, Yield Parameters and Yield in Telangana
Authors: K. Naganjali  , K. P. Vani  , M. Madhavi  , Reddy S. Narender
Published: January 2024

At College Farm, Agricultural College, Aswaraopet, Bhadradri Kothagudem District, a field experiment was conducted on sandy clay loam soil in semi-dry rice during the kharif seasons of 2016 and 2017. The experiment was set up in a split plot design with three replications of each nutrient (chemical fertilizer alone and the combination of fertilizers with organic manures) and four weed management practices (Control, combination of pre/early post-emergence and post-emergence herbicides, along with hand weeding). Results of pooled analysis revealed that 75% RDF +25% N through vermicompost and Bispyribac sodium 10 SC@25 g ha-1 (PE) fb (Pyrazosulfuron ethy l10WP@25gha-1+2,4-D80WP@0.5kg a.i ha-1) + HW@ 50 DAS recorded significantly highest dry matter production, no. of panicles m-2, no. of filled grains panicle1, test weight, grain and straw yield.
PROVIDING EVIDENCE BY THE NOTARY: PROBLEMATIC ISSUES
Authors:   USLU of the V.F. Yakovlev, POGOSIAN E.V.
Published: January 2024

The article examines the advantages and procedural features of providing evidence by a notary in the context of new Methodological Recommendations on providing evidence by notaries.
APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN NOTARIAL ACTIVITY: PROBLEMS AND PROSPECTS
Authors:   Chelyabinsk State University, TRETYAKOVA O.YU.
Published: January 2024

The article analyzes the prospects for introducing modern digital technologies in the professional activities of notaries. The technology of neural networks is considered as a concrete implementation of artificial intelligence algorithms. The main problems of the neural networks’ using in the legal activities are being investigated. There are formulated such principles of using neural networks as responsibility and control in the implementation, prevention of bias in its training, transparency of algorithmization, providing data security and the copyright compliance. There are indicated the limits and risks of introducing artificial intelligence technologies in notarial activities.
Descriptive analysis of a SARS-CoV-2 outbreak among health-care workers in a regional hospital in the Philippines
Authors: Safilo Lily Anne , Ventura Ray Justin , Blanco Mariz Zheila , Lonogan Karen , Pamintuan Rosario , Magpantay Rio
Published: January 2024

Objective: On 25 July 2022, trainees from the Field Epidemiology Training Programme in Northern Luzon, Philippines were sent to conduct an epidemiological investigation of six confirmed cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among staff of a regional hospital in Mountain Province. The investigation had three objectives: to profile the cases, identify the source and mode of transmission, and recommend prevention and control measures. Methods: Descriptive epidemiology was used to investigate the outbreak, with the standard case definition issued by the Philippine Department of Health. Results: A total of 167 hospital personnel and interns tested positive for SARS-CoV-2 infection between 6 July and 31 August 2022, with a peak in the number of cases on 20 July. Among the cases, 57 (34%) had a history of travel, with 41 (25%) having travelled to Boracay island to attend team-building activities. Most cases were asymptomatic, and the most affected group was those aged 30–34 years. The highest number of cases occurred among nurses. It was discovered that the team-building activities on Boracay did not strictly adhere to safety protocols. Discussion: This outbreak suggests that transmission of SARS-CoV-2 among health-care workers can occur through contact with other staff members outside of the hospital setting and highlights the importance of strict adherence to safety protocols to prevent the spread of SARS-CoV-2.
Semiarid Potigaur Science Fair and intelectual proerty: a lexicometric analysis of technological potential
Authors: Maia João Paulo Oliveira , Do Monte Washington Sales , Feijó Francisco Marlon Carneiro
Published: January 2024

The objective of this work is to present the mapping of the technological and innovative potential of the Semiarid Potiguar Science Fair, 2023 edition. Technology has accompanied the development of humanity, being part of our daily lives and occupying a relevant space in the educational context using technology in schools. Science fairs are spaces for the construction and exhibition of knowledge. Technological development and connection with intellectual property occur in them, an area that protects the creations of human intellect and is strongly connected to innovation. The Potiguar Semiarid Science Fair, held at UFERSA in Mossoró/RN and region. The event has the participation of schools from western Potiguar. To achieve the objective, a qualitative methodology of an exploratory nature was used using a literature review and analysis of the summaries of the projects presented at the Science Fair using the IRAMUTEQ software. The analyzes showed that scientific methodology and the construction of knowledge by students occupy a relevant position in the Science Fair and that technology and innovation are focused on the production of knowledge by participating students.
Robotic surgery for the patient undergoing resection of a rectal tumor: a systematic review
Authors: Serra Aline de Souza Silveira , Velasque Luciane de Souza
Published: January 2024

Objective: To analyze the results of different surgical modalities for patients undergoing rectal tumor resection. Methods: A systematic literature review of texts published in databases in the last 10 years was carried out. Results: 84 results were found and 29 studies made up the corpus: 11 exclusively evaluated robotic surgery (Group I), 12 compared robotic surgery and laparoscopic surgery (Group II); four compared robotic surgery, laparoscopic surgery and open surgery (Group III); two address robotic surgery, but deal with rectal tumor resection procedures in conjunction with the resection of liver metastases (Group IV). Conclusion: 24 studies (82.8%) evaluated robotic surgery as the most favorable for the treatment of rectal cancer, three studies (10.3%) considered robotic surgery equivalent to laparoscopic and two studies (6.9%) judged laparoscopic superior to robotic surgery. Among the differentials of robotic surgery for patients undergoing the procedure, the following stand out: mortality rates below other types of surgery, significant reduction in surgical trauma, lower rate of urinary retention and loss of sphincter control.
Psychological distress in mothers of teenagers with cancer
Authors: Sider Kamila , Belaouinat Meriem
Published: January 2024

The current study aims to determine the level of psychological stress experienced by mothers of teenagers with cancer, as well as their coping strategies in dealing with this challenging situation. To test the hypothesis, we applied a semi-structured clinical interview guide developed by the researcher and tested the Perceived Stress Scale for Feinstein et al. with the case. After analysing and discussing the results, it was found that the case experienced a high level of perceived psychological stress.
effect of aerobic and anaerobic exercises on maximum oxygen consumption and specific speed according to the target time for 1500m runners
Authors: Saad Teniba , Salim Saoudi , Belfritas Yacine
Published: January 2024

This study aimed to understand the effect of aerobic and anaerobic exercises on maximum oxygen consumption and specific speed according to the target time for 1500m runners. The researchers conducted an experimental study on a sample of 16 young athletes active in the Provincial Athletics League in Jijel province. They used a set of physical tests appropriate for the nature of the study. The study concluded that anaerobic and aerobic training, according to their targeted time, has a significant effect on maximum oxygen consumption and effectively improves specific speed, speed endurance, special performance endurance, and also enhances the time to cover the 1500m distance.
The relationship between creativity and insight: A case of the wrong answer?
Authors: Ross Wendy
Published: January 2024

Creative thinking is considered to be a core skill for the 21st century, specifically, the skills underlying creative problem-solving. Many studies in creative problem-solving rely on the problem-solvers using novel means to generate the correct answers. The current exploratory study draws on secondary data to demonstrate that the wrong answers to problems can be just as creative as the correct answer although they are accompanied by lower feelings of insight. Categorising different types of wrong answers could be useful to provide a more granular assessment of the different cognitive processes underlying creative thinking.
Examining top-down influences on auditory signal detection: New evidence for the affect of task design on perceptual decisions
Authors: Medcalf-Bell Ruth , Barkus Emma , Moseley Peter
Published: January 2024

It is important to investigate top-down factors influencing perceptual processing in auditory signal detections tasks (ASDTs). Various ASDT designs have been used in previous research, yet findings consistently suggest that people who score high on hallucinatory predisposition are more prone to auditory misperceptions. However, interpretation of sound is context-specific, influenced by both expectations and repetition. Consequently, this study investigates the impact of feedback and stimulus exposure on ASDT ability. 217 participants completed an online ASDT. Results of a 3 x 2 ANOVA show that, whilst there are no differences in perceptual sensitivity, participants adopt a more liberal response after sound familiarisation pre-task or visual response feedback on each trial, compared to those in a control condition. Data analysis is ongoing. This research suggests that top-down processes may be used to alter ASDT performance.
Profile and Social Assessment of Liver Transplant Candidates: A Retrospective Approach
Authors: Serrano Cristina , Pereira Vinícius Araújo , Barbeiro Rafael Mangas , Duca William José , Silva Rita de Cássia Martins Alves da , Arroyo Júnior Paulo César , Lemes Jemima Domingos , Fortunato Allana C. , Virches Adriano , Miyazaki Eliane Tiemi , Sciarra Adília Maria Pires , Silva Renato Ferreira da
Published: January 2024

Introduction: The complexity of liver transplantation requires a highly qualified team, in which the social worker plays a crucial role in analyzing and intervening in the social situation of candidates. Objectives: To investigate the social profile of liver transplant candidates and relate it to the interventions and reflections made during the social assessment at the Hospital de Base Liver Transplant Unit. Methods:Based on the records of the Social Work, the information of the candidates evaluated between January 2019 and December 2020 was analyzed. This quantitative-qualitative, retrospective, descriptive and documentary study, with participant observation, was conducted from a dialectical perspective. Results: During the data collection period, 174 evaluations were obtained. Social profile: Average age 55.8 years, predominantly male (N=116; 66.7%), with a partner (N=129; 74.1%), living in municipalities in the state of São Paulo (N=124; 71.3%), incomplete primary education (N=68; 39.1%), low level of education (N=65; 37.4%), inactive in the job market (N=151; 86.8%), accessing social security benefits (N=120; 69%), positive acceptance of the transplant (N=158; 90.8%), nuclear family (N=120; 69%), offer of care and family adherence (N=172; 98.9%), partial access to medication (N=122; 70.1%), ease of access to the transplant center (N=157; 90.2%), per person family income of 1\2 to 2 minimum wages (N=107; 61.5%) and satisfactory/conserved housing standard and state of repair (N=157; 90.3%). Conclusion: The social profile of greater social vulnerability required more interventions in most of the 25 variables assessed, providing important elements for identifying and meeting the social needs of each individual.
CINNAMIC ACID AND ITS DERIVATIVES AS POTENTIAL ANTI-TUBERCULAR AGENTS
Authors:   Department of Pharmaceutical Chemistry, Bharati Vidyapeeth (Deemed to be University), Poona College of Pharmacy, Erandwane, Kothrud-411 038, Pune, Maharashtra, India, Thakar Snehal R. , Dhamade Pooja N. , Bansode Deepali A.
Published: January 2024

Cinnamic acid is one of the naturally occurring chemical compounds present in various plants. It is obtained by both isolation from crude drugs, and by the synthetic route. In the last 10 years, many researchers have explored cinnamic acid for its pharmacological activities. Out of this anti-microbial and anti-tubercular activities are mainly focused in this review. Because of the unique structural features of cinnamic acid, various substitutions can be done. This review is an attempt to summarize the chemistry, reactions and pharmacological activities of cinnamic acid with a special focus on its anti-tubercular activity.
PHARMACOGNOSTIC EVALUATION OF APIUM GRAVEOLENS LINN. AND TRACHYSPERMUM ROXBURGHIANUM (DC.) CRAIB.: THE DRUG “AJMODA” IN INDIAN SYSTEM OF MEDICINE
Authors:   Department of Botany, School of Applied Sciences, Centurion University of Technology and Management, Ramachandrapur, Jatni – 752 050, Odisha, India, Parida Sagarika , Rout Kedar K. , Mishra Ananya , Mahalik Gyanranjan , Dhal Nabin K.
Published: January 2024

Two species, namely, Apium graveolens Linn. and Trachyspermum roxburghianum (DC.) Craib., are being popularly known as ‘Ajmoda’ in India and ‘Celery’ in English. Both the species belong to the family Apiaceae. The plant specimens are mostly collected from wild sources by unskilled collectors on the basis of the local names, which leads to adulteration and substitution for genuine drugs. There is a chance of improper identification because of similar name. The seeds of these species are morphologically very similar and it is difficult to identify because of their smaller size. Therefore, this study aims to find out the detailed pharmacognostical evaluation to differentiate the seeds of the two species on the basis of microscopic characters, fluorescence analysis, physicochemical values and TLC fingerprint profile.
EVALUATION OF ANTIUROLITHIATIC ACTIVITY OF FLEMINGIA STROBILIFERA R. BR IN ZINC DISC-INDUCED UROLITHIASIS: AN ANIMAL MODEL STUDY
Authors:   Department of Pharmacology, Visveswarapura Institute of Pharmaceutical Sciences, Bengaluru - 560 070, Karnataka, India, Kumar Anil , Kumar K. V. Anil , Rani N. C Swaroopa , V. Aditya , S. Girish B.
Published: January 2024

Kidney stones are painful and do not have complete successful therapy. Therefore, the objective of this work was to assess the antiurolithiatic activity of Flemingia strobilifera R. Br in zinc-induced nephrolithiasis. Preliminary phytochemical analysis of plant leaf extracts in chloroform was carried out. To induce urolithiasis in male Wistar rats, zinc discs were implanted surgically. Then, following the protocol, plant leaf chloroform extract (60 mg kg-1) was administered via gastric intubation, and post-experimental evaluations were performed to ascertain the impact of the plant extract. In zinc disc-induced urolithiasis, the plant F. strobilifera leaves chloroform extract elicits exhibited statistically noteworthy reduction in occurrence of urinary stones and facilitated the dissolution of existing stones by lowering their size. The F. strobilifera plant’s leaf chloroform extract has been discovered to have significant antiurolithiatic action in terms of reducing and preventing the emergence of renal calculi.
EXPLORING THE BINDING MODES OF PIPERAZINE COMPOUNDS ON MAO-A FOR A STEP TOWARDS DEPRESSION THERAPY
Authors:   Department of Pharmaceutical Chemistry, ISF College of Pharmacy, Ghal Kalan, G.T Road, Moga -142 001, Punjab, India, Jha Keshav T. , Shome Abhimannu , Chawla Pooja A.
Published: January 2024

Sadness, often referred to as “depression,” is a normal emotion. The World Health Organization (WHO) claims that depression is a prevalent psychological condition that affects 264 million people worldwide, involving complex interactions between social and psychological behaviors. Piperazine, a heterocyclic scaffold, has been extensively used in various research studies due to its remarkable pharmacological effects in pharmaceutical chemistry. It has been modified to discover a new reversible neuroactive compound, along with pyrazoline. Early investigations have demonstrated significant inhibition of MAO-A by both compounds. The docking of molecules was performed by employing Autodock Vina programme, an in silico approach. Using the docking software AutoDockTools 1.5.6, the molecular docking studies on MAO-A enzyme targeting depression [Protein Data Bank (PDB) ID: 2BXR] was conducted. Compound C17, demonstrated significant interactions with specific residues, including Gly25, Arg51, Ser24, Thr435, Lys305, Gly66, Tyr407, Cys406, Gly67, Gly443, Ile23, Thr52, Gly22 and Ala448. This finding suggests that compound 17 could potentially serve as a promising and innovative candidate for the treatment of depression. This study focuses on designing a hybrid molecule combining piperazine and pyrazoline as MAO-A inhibitors. The results of the study indicate that C17 and C20 exhibit the greatest affinity, having interaction values of -10.9 kcal mol-1 and -10.8 kcal mol-1, respectively. All the chemicals demonstrated similar behavior within the binding pocket of MAO-A. In this study, the in silico tool Swiss ADME were used to predict the drug-likeness of all designed compounds. The analysis indicated that all the compounds, except one, comply with Lipinski’s rule of five, which defines the druglike compounds. Further, synthesis and biological evaluations need to be conducted in the future.
As implicações do uso concomitante de ceftriaxone e cálcio: uma revisão de literatura
Authors: Linhares Mateus Rodrigues , De Souza Arthur Vinicios Araújo , Rocha Carina da Silva , Araujo Philipe de Pina , Mamede Thiago Ferreira , Do Espírito Santo Giovanna Lopes , Maciel Caroline Vianna , Oliveira Beatriz Dias , Pucci Leonardo Ferreira , De Moreira Brandon Andrade , Concentino Renata Alcanfor , Teodoro Clarice Rodrigues , Jalal Riad Kalid , De Sá Ana Luysa Rosa , Galvão Rodrigo Góes de Oliveira , Carvalho Emanuely Gambarato Dias , Souza Nicolle Kelly da Cruz , Cardoso Bruno Henrique Faria , E Fonseca Kaique Ribeiro Silva , Cassimiro Ingrid Borges
Published: January 2024

Os medicamentos intravenosos são frequentemente co-administrados na mesma linha de cateter intravenoso, devido ao qual podem ocorrer problemas de compatibilidade, como processos complexos de precipitação na linha de cateter. Um exemplo bem conhecido que levou a várias mortes é a precipitação devido à coadministração de soluções contendo ceftriaxona e cálcio. Assim, a incompatibilidade em ambientes hospitalares ocorre frequentemente e as consequências podem ser graves e inaceitáveis, como ocorre na administração concomitante do antibiótico ceftriaxona com produtos contendo cálcio. Essa coadministração levou à formação de precipitados sólidos que foram detectados nos leitos vasculares. Dessa forma, com o crescente corpo de literatura sobre o uso simultâneo de ceftriaxona e cálcio causando problemas sérios aos pacientes, foi possível a realização de uma revisão integrativa de literatura por meio da plataforma pubmed, com seleção e análise criteriosa dos artigos, a fim de revisar e analisar as evidências atuais sobre esse uso concomitante de ceftriaxona e soros contendo cálcio, e suas consequências para os pacientes. Nesta revisão foi identificado que o uso concomitante de ceftriaxona e cálcio, como soro ringer lactato leva a diversas implicações devido a cristalização dos cristais de cálcio. Assim, dentre as complicações tem-se a urolitíase induzida, que está associada a um alto risco de lesão renal aguda (LRA), o inflamassoma mediado por NLRP3 e a lesão por estresse oxidativo, que foram de grande importância na patogênese. Assim sendo, os estudos mostraram que desenvolveram uma nefropatia por cristais de cálcio com ceftriaxona, com desenvolvimento de insuficiência renal e morte. Portanto, é importante identificar a composição de um precipitado em uma combinação de múltiplos medicamentos para fornecer informações sobre qual medicamento não chegou ao paciente ou possivelmente chegou ao paciente em sua forma inativa e/ou precipitada e para sugerir como a combinação de medicamentos deve ser idealmente administrada.
Application of Biofield Concepts on Germination of Mung Bean Seedlings in an Electromagnetic Environment
Authors: Scherlag, Benjamin
Published: January 2024

Introduction: The new concept of Biofields encompasses energy emissions and energy input into living systems, respectively. The external recording of electrical activity from the heart and brain are examples of such biofields. The Complementary and Alternative Medicine practices of Reiki and Therapeutic Touch represent the other aspects of the Biofield Concept. In the present study we observed the effects of negative and positive electromagnetic energy on the growth of Mung bean seedlings. Methods: Five Mung bean seeds were put in each of 2 petri dishes. All were filled with 20 cc of distilled water. One petri dish was placed on the negative side of a plate magnet (3975 Gauss). The other was placed on the positive side of a second plate magnet. Both magnet plates were stored in a darkened desk drawer for up to 2 weeks. Results: After the 2 weeks the seedlings on the negative plate showed substantial growth, whereas the positive side hardly grew. Conclusions: Specific forms of electromagnetic energy from static magnets have distinctly different effects on the growth of Mung bean seedlings representing the energy input aspect of the Biofield responses to physiological regulation in living organisms.
Escola: espaço de atuação e formação docente
Authors: Maramaldo Silvia Regina Rodrigues , Campos Tiago Aparecido de Melo , Lopes Gabriel César Dias
Published: January 2024

A formação e a prática docente tem sido objeto de investigação permanente de vários estudiosos no mundo. A sociedade é mutável, nesse processo disruptivo, o professor tem papel importante. O objetivo deste estudo é refletir acerca da escola enquanto espaço de atuação e formação docente. Daí justifica-se sua relevância. No desenvolvimento da pesquisa foram aplicados questionários para coleta de dados, assim como procurou-se dialogar com os autores: Imbernón (2009 e 2011), Nóvoa (1995), Pimenta (2009), Freire (2022), Lück (2006 e 2011) e outros. Realizou-se um estudo descritivo por considerá-lo mais adequado a investigação do fenômeno e empregou-se a abordagem mista (onde foram realizadas análises quantitativas e subjetivas dos dados). Os resultados revelam que a equipe docente é eclética, tanto com relação ao tempo de atuação no magistério quanto a formação acadêmica, isso demonstra sua experiência e sinaliza para a gestão escolar o seu potencial latente.