bluuebunny/crossref_metadata_2025 huggingface dataset:
Ameliorative Effect of N-acetylcysteine against Florofenicol-induced Intestinal Injuries in Broilers
Authors: Elkomy Ashraf , Belih Soad , Elsayed Faten , Aboelftouh Elrefaey , Ibrahiem Hawary
Published: June 2023

Abstract
This study was designed to evaluate the Ameliorative effect of N-acetylcysteine (NAC) against possible florfenicol (FFC)-induced intestinal injuries in broiler chicks. A total of 120 broiler chicks were allocated into 4 equal groups. Group (1) was kept as a control, while group (2) administered with NAC (100 mg ̸ L of drinking water for 5 days from 15 to 20 days of age. Group (3) was administered with toxic dose of FFC (60mg ̸ kg B.Wt.) orally for 5 days from 18 to 22 days of age. Group (4) was co-administered with NAC with FFC with the same previous doses on the same treatment periods. The histopathological examination was performed to evaluate NAC-ameliorative effects. Results ensure that FFC induced intestinal injuries in broilers and NAC can ameliorate such deleterious effects which reflected by an enhancement histopathological findings.
The Effect of Relaxation and Respiratory Exercise on Anxiety in Thyroid Biopsy Patients
Authors: Samanc Cesur , ildal Melike , zkan Suat , Kaya Hatice , n Ayhan
Published: June 2023

Objectives: It is known that high stress levels increase the risk of complications in invasive procedures. The aim of this study is to investigate the effect of the relaxation and respiratory exercise on the anxiety state specific to the thyroid biopsy procedure in patients.

Methods: 100 randomly selected thyroid biopsy patients from 200 patients watched the Relaxation and Respiratory Exercise video (group 1) and did the instructions, and the rest 100 patients were control group (group 2) who did not watch it. The State-Trait Anxiety Inventory state scale (STAI-I) and trait anxiety scale (STAI-II) were administered to all patients before the procedure. Group 1 watched the video just before the biopsy procedure. After the biopsy procedure, all the 200 patients rested for 15 minutes, and the STAI- I scale was filled again.

Results: When the STAI-II and pre-biopsy STAI-I questionnaire results of the patients were compared between two groups; study group (Group 1): Patients who were selected to watch the video, control group (Group 2): Patients who were not watching the video), no statistically significant difference was found (p>0,005). When the anxiety levels in the first STAI-I performed before the biopsy and the STAI-I tests performed after the procedure were compared, a statistically significant decrease was found in the anxiety levels of the SG (p<0,001). Anxiety levels of female patients were statistically significantly higher than male patients.

Conclusions: Although thyroid biopsy is a minimally invasive procedure, it may cause anxiety in patients. Watching the video before the procedure resulted in a decrease in the anxiety levels of the patients.
Acute Kidney Failure as A Complication of Individual Diagnostic and Therapeutic Procedures
Authors: Aksenova Marina , Adamova Tamila , Ramazanov Nasur , Skorubskaya Svetlana , Perepechko Elena , Komarenko Darya
Published: June 2023

This article discusses the possibility of acute kidney failure (AKF) as a result of various diagnostic and therapeutic
procedures. In particular, the possibility of developing contrast nephropathy with the use of X-ray contrast agents and the
possibility of developing AKF as a result of the use of nonsteroidal anti-inflammatory drugs is being studied. The authors
investigate the main causes of acute kidney failure associated with diagnostic and therapeutic procedures, and give
recommendations for the prevention of these complications. In particular, precautions are discussed when using contrast
agents and the use of nonsteroidal anti-inflammatory drugs. The article also discusses various methods of diagnosis of
acute kidney failure and methods of treatment of this condition. The authors emphasize that early detection and
treatment of AKF can significantly reduce the risk of complications and improve the prognosis for patients. In addition,
the article also emphasizes the importance of preventing acute kidney failure, especially in patients at increased risk of
developing this condition, such as the elderly, patients with diabetic nephropathy and patients with concomitant diseases.
The paper also discusses the need for further research to better understand the causes and mechanisms of the
development of acute kidney failure during various diagnostic and therapeutic procedures. In general, the article provides
an overview of the problem of acute kidney failure as a complication of diagnostic and therapeutic procedures, and also
offers practical recommendations to reduce the risk of this complication.
Management of Quadriparesis Through Ayurveda: A Case Report
Authors: Joshi Twinkle , Kuchewar Vaishali , Chhabra Aman
Published: June 2023

In an instance of quadriparesis induced motor impairment, Ayurvedic therapy was planned and the outcome was assessed. A 55-year-old female patient had fallen on back and suffered anterior compression of L2 vertebra along with motor dysfunction. The patient came for Ayurvedic treatments because she could not get significant improvement by mainstream medical treatments that she took for several months. External and internal herbal treatments, as well as physiotherapy, were used to treat the patient. Motor function assessment was used to track the treatment's success. Results: The treatment was found effective as the motor function improved without any side effects or complications. It could be concluded that this treatment protocol could be used for management of spinal fractures. Also, these observations could form the basis for future clinical trial.
Current Approaches to The Treatment of Chronic Diseases: Prospects for The Use of Innovative Methods and Technologies in Medicine
Authors: Zemel Dmitry , Saadulaeva Saida , Chikisheva Ekaterina , Kashentseva Natalia , Boldyrev Anton , Aramyanc Georgiy
Published: June 2023

This article examines current approaches to the treatment of chronic diseases and prospects for the use of innovative methods and
technologies in medicine. The paper presents an overview of modern methods of treatment of chronic diseases, such as drug therapy,
exercise, diet and lifestyle changes. New methods are also being considered, such as the use of technologies related to AI, biotechnology,
gene therapy, nanotechnology, etc. In addition, the authors describe how these methods can help in more accurate diagnosis and the
choice of individual treatment for the patient. The article also discusses the advantages and disadvantages of each method, as well as
the potential risks and ethical issues associated with their use. The authors conclude that the use of innovative methods and technologies
can significantly improve the effectiveness of treatment of chronic diseases and improve the quality of life of patients, but also requires
additional research and regulation by medical organizations and governments. One of the most promising areas in the treatment of
chronic diseases is the use of AI and machine learning. These technologies can help in more accurate diagnosis, selection of individual
treatment, monitoring of the patient's condition and prediction of possible complications. Biotechnologies also provide new opportunities
in the treatment of chronic diseases. For example, the use of therapeutic proteins and gene therapy can be effective in the treatment
of certain forms of cancer, cystic fibrosis and other diseases. Nanotechnology may also have significant potential in the treatment of
chronic diseases. Nanoparticles can be used to deliver drugs to specific places in the body and to diagnose early stages of diseases.
However, it should be borne in mind that the use of innovative methods and technologies is also associated with risks and ethical issues.
For example, when using gene therapy, unexpected side effects are possible, and the use of AI and machine learning can lead to problems
with the confidentiality of patient data. In general, the use of innovative methods and technologies can significantly improve the
effectiveness of treatment of chronic diseases and improve the quality of life of patients. However, before the introduction of these
methods and technologies into medical practice, it is necessary to conduct thorough research, evaluate the effectiveness and safety, as
well as take into account ethical and legal aspects
Research on the Key Factors for a Successful Merger and Acquisition
Authors: Dong Shuang , Zhang Boxin , Zhu Ziyue
Published: June 2023

M&A is an important activity of corporates in today's competitive business environment. Previous researches on the influencing factors of M&A were mainly based on the theory of synergy effect, market power theory, economies of scale theory and so on. Moreover, there are no unified conclusions. Starting from HSBC's M&A of AXA Singapore, this paper studies the influencing factors of M&A through literature research and case analysis. In the end, three main influencing factors were derived. One is synergy, represented by Haier Group merging Red Star Electric Appliance Company and Citibank merging Travelers Group. The second is technology, the representative cases are Cisco acquisition of IMImobile and Salesforce acquisition of Slack Technologies. The third is market share, and corresponding cases are J&R Express' acquisition of Best Express and LVMH's acquisition of Tiffany. Enterprises can obtain synergies, innovate with technology, expand market share through M&A. Therefore, they can obtain more profits, and support the healthy development of enterprises. Finally, this paper suggests that enterprises start from various factors such as the market environment and their own conditions to make M&A decisions and promote the benign development of enterprises.
An In-Depth Financial Analysis of Pfizer Inc
Authors: Fang Mingzhi , Luo Zhuoyuan
Published: June 2023

This paper analyzes the economic performance of Pfizer, a leading biopharmaceutical company, from a business perspective. Pfizer has a long history of innovation and significant contributions to the global healthcare industry for over 170 years. Despite facing challenges such as the loss of patent exclusivity for some key products and the impact of the COVID-19 pandemic on its business operations, Pfizer has continued to perform well financially. Using Pfizer's most recent annual report, this essay examines the company's financial performance in 2022, where it had total revenues of $100.3 billion, an increase of 30% from the previous year. The company's net income was $31.4 billion, a significant increase from $22 billion in 2021. The report also indicates that Pfizer's financial performance was driven by growth in key therapeutic areas, including oncology, inflammation and immunology, and rare diseases. Additionally, the company's COVID-19 vaccine, which received emergency use authorization from regulatory agencies around the world, played a significant role in Pfizer's financial performance. Looking ahead, Pfizer has a strong pipeline of potential new medicines in the fields of oncology, immunology, neurology, and other therapeutic areas. The company's commitment to innovation is evident in its investments in research and development, which have enabled it to bring many important new treatments to market. Despite the challenges faced by the industry and the world due to the COVID-19 pandemic, Pfizer's financial performance has remained strong, and the company is well-positioned to continue its success in the future.
The Macroeconomic Implications of Subprime Crisis
Authors: Du Minghao
Published: June 2023

Finance is partly international since financial assets have such high liquidity. Many factors, including national financial institutions, financial markets, financial products, and others, contributed to the financial crisis. People's expectations for the future of the economy are pessimistic, the currency of the region has produced a sizeable budget, the scale and aggregate of the economy have been significantly reduced, domestic economic growth has been severely harmed, and many businesses have closed, driving up the unemployment rate. Moreover, there is some social unrest and political unrest along with a general decline in the social economy. On August 9, 2007, the global financial crisis, also known as the credit crisis and lasting from 2007 to 2009, began. After the early subprime home credit crisis arose, investors began to lose trust in the value of mortgage instruments, which caused a liquidity crisis. Despite continuously pumping large amounts of money into the financial system, the central banks of multiple different countries were unable to halt the financial crisis from beginning. The financial crisis had been under control up until September 9, 2008, but it had begun to spin out of control, leading to the failure of numerous significant financial institutions or government takeover.
A Study on the Design and Pricing of Adolescent Mental Health Insurance Products Based on Adjusted Rates
Authors: Zhou Yixin , Bi Meng , Chen Peixuan , Wang Wenjing , Zhou Yiyi
Published: June 2023

In recent years, with the frequent occurrence of adolescent suicide, the topic of adolescent mental health has attracted special attention. The insurance products against this risk need to be studied. In this paper, based on an investigation of students and parents in five junior and senior high schools in Shandong Province, we design the adolescent mental health insurance product that meets the market demand and design additional insurance to protect against the risk induced by sudden accidents. The premium pricing system based on mental health status (MHSBI) is constructed with adjusted rates. The total premiums are in line with the applicants’ willingness to pay. This paper improves the deficiencies of insurance research about adolescent mental health, and provides theoretical support for the introduction of such insurance products.
An Empirical Analysis of Price Momentum Effect in A-share Market
Authors: Su Xinyue
Published: June 2023

This article sorts the returns of listed companies in the A-share market from May 1991 to April 2022 over the past J months, selects winners and losers, constructs a zero investment portfolio, and holds it for K months. The results showed that there is a reversal effect in the short term and a momentum effect in the medium to long term. Only when the holding period is one month, no obvious pattern can be observed. This article is interested in the combination of winners and losers with a holding period of one month. Next, Fama-MacBeth regression is used to further verify whether there is momentum effect in the A-share market when the holding period is one month. It was found that when the holding period is one month, there is no momentum effect in the A-share market, and there is a significant reversal effect in the short to medium term. In addition to the reversal effect in the short to medium term, winners and losers also experience a reversal in the long term. Taking the split share structure reform as the dividing point, winners and losers only have mid-term and long-term reversals before the reform, and there will also be short-term reversals after the reform. In addition, winners and losers have short-term and long-term reversals during bull markets, while bear markets have neither momentum nor reversal effects, while volatile markets only have short-term reversals.
Risks And Countermeasures Related to Diversification Strategy: Taking Yunnan Baiyao as An Example
Authors: Li Ming
Published: June 2023

As the cornerstone of the operation of listed companies, enterprise strategy has attracted more and more attention. Diversification strategy is a company level strategy that many companies choose to adopt. However, diversification strategy has advantages and disadvantages. How to prevent the risks from diversification strategy is worthy of our study. Therefore, this paper selects Yunnan Baiyao as a case company, specifically discusses the risks of its diversification strategy, and puts forward adjustment suggestions for its strategy, so as to provide direction for the strategic formulation and timely adjustment of relevant enterprises and industries.
Conversation Analysis of Jo Chale to Jaan Se Guzar Gaey: A Drama Serial from Pakistan Electronic Media
Authors: Naureen Sehar , Kazim Shah Syed Kazim , Mushtaq Muniba
Published: June 2023

This investigation aimed to analyze the use of turn-takings, the organization of adjacency pairs that are practised in Pakistani drama. Drawing on the framework presented by Young (2011), this research has provided insight into the relationship between the conversational organization and situational features in which the conversations were performed, and to figure out the purpose of operating a conversation in a specific situation, especially in the entertainment genre. For this research, video samples were taken from Pakistani dramas, and the conversations between participants, specifically between main characters, were transcribed. The transcribed data was then organized and divided into chunks and manually coded in Adjacency pairs, turns, lexical devices, linguistic and paralinguistic features, semantic and pragmatic elements, and contextual features. Based on the frequencies and patterns of turn-takings, lexical and linguistic choices, semantic, and conversational devices, the attitudes and variations in the behaviours of the participants of conversation in different settings and contexts were analyzed.
Developing Pakistani ESL Learners’ Pragmatic Competence: A Case Study of English Refusals
Authors: Ahmed Khalid , Akram Arfan , Sharif Asma Sharif , Tariq Anila
Published: June 2023

This study investigated the development of pragmatic competence of Pakistani ESL learners through classroom teaching. The quasi-experimental research design was employed. The sample was twenty-five undergraduate Pakistani ESL learners. The impact of teaching pragmatic competence and the retention effects of learning were investigated. The experimental process comprised of the intervention of teaching the American English Refusals to Pakistani ESL students. The Written Discourse Completion tests were used at three different stages for the evaluation purpose and data collection. The mix method was used for data analysis. The qualitative analysis of the responses was conducted by the performances of learners in four stimulus types of the refusals (invitations, suggestions, offers & requests) and four aspects of accuracies (correct expression, quality of information, strategies of choices & level of formality) in the pre-test, post-test and the delayed post-test (Hudson et al. 1992, 1995). The qualitative analysis helped to elaborate the further explanation of the quantitative data. The mean scores of the students in DCTs were the quantitative data. The comparison of post-test scores showed that the pragmatic competence of Pakistani English language learners could be developed through teaching. Furthermore, the study showed that the Pakistani ESL students could retain their pragmatic competence of learning English refusals after two months of academic instructions in classroom setting. This results and findings of the study supported rich implications for the future researchers in interlanguage pragmatics and further it carried pedagogical implications related to ESL learning, teaching and course designing.
Toxicological studies of Ageratum conyzoides in rats
Authors:   Veterinary Dispensary Aralehalli, Shikaripura, Department of Animal husbandry and Veterinary services, Government of Karnataka, C. B Harisha , N.B Shridhar ,   Department of Veterinary Pharmacology and Toxicology, Veterinary College, Shivamogga, U Sunilchandra ,   Department of Veterinary Pharmacology and Toxicology, Veterinary College, Shivamogga, Waghe Prashant Kumar ,   Department of Veterinary Pharmacology and Toxicology, Veterinary college, Bidar, KVAFSU, Bidar, Rani Kavitha ,   Department of Veterinary Pathology, Veterinary College, Gadag, KVAFSU, Bidar, Revanna Patel Suresh ,   Department of Veterinary Clinical Complex, Veterinary College, Gadag, KVAFSU, Bidar, M.H Vinuta ,   Department of Veterinary Pharmacology and Toxicology, Veterinary college, Shivamogga, D Niranjan ,   Department of Veterinary Pharmacology and Toxicology, Veterinary college, Shivamogga
Published: June 2023

The study was taken up to evaluate the pharmacological and toxicological property of A. conyzoides plant. The yield of methanolic extract was found to be 6.8 %. The pH of methanolic extract of A. conyzoides (MEAC) was 5.86. It was dark green in colour and the was dry and powdery in consistency with aromatic odour. Acute oral and repeated dose 28-day oral toxicity studies of methanolic extract was carried out in Wistar albino rats as per the OECD guidelines 423 and 407 respectively. In sub-acute oral toxicity dose levels of 500, 1000 and 1500 mg/kg were administered daily for 28 days and compared with the control rats. In toxicity studies, no mortality and toxicity signs were observed. The MTD value was found to be more than 5000 mg/kg. The general condition of the animals did not change and all the animals remained in normal health condition throughout the experiment. The histopathological changes were dose dependent and the changes were very mild to moderate and are not the major signs to conclude the extract are toxic in acute stage, in repeated dose toxicity study showed the alarming signs of toxicity. Haematological and biochemical parameters showed significant effect of the extract on different organs which are evident by histopathological changes observed in extract treated groups.
Análisis de la influencia geográfica en la evaluación Ser Estudiante a través de estadística multivariante
Authors: Suárez-Ibujés Mario Orlando , Sánchez-Pozo Nadia Nathaly
Published: June 2023

Existen múltiples elementos que inciden en el rendimiento escolar, siendo la zona geográfica uno de los factores que más influyen. El objetivo de este estudio es analizar la influencia de la zona geográfica de la institución educativa en la evaluación Ser Estudiante de tercero de bachillerato 2021-2022 mediante descriptivos estadísticos, test de normalidad a través de la prueba de Kolmogórov-Smirnov, test de homocedasticidad con la prueba de Fligner-Killeen, test de igual de medianas utilizando la prueba de Wilcoxon-Mann-Whitney, y modelación con el método de Naive Bayes. Para ello se ha utilizado un enfoque cuantitativo, no experimental, transversal y correlacional. La muestra la integran 4466 estudiantes, 2610 del área urbana y 1856 del área rural, que rindieron la evaluación Ser Estudiante de tercero de bachillerato 2021-2022. Los resultados revelan que los estudiantes del área urbana obtienen mejores desempeños que los estudiantes del área rural en la mayoría de los campos evaluados. Se concluye que la zona geográfica de los establecimientos educativos influye para que en su mayoría los estudiantes del área urbana obtengan mejores resultados que los estudiantes del área rural en la evaluación Ser Estudiante de tercero de bachillerato 2021-2022.
Prevalence and Purpose of Medical App Usage In Pakistan: A Cross-Sectional Study
Authors: Ibtehaj Munir  , Ijaz Farhat , Kanza Waqar  , Iman Hussain  , Rana Khurram Aftab  , Asim Zia
Published: June 2023

Objective: To determine the prevalence and purpose of medical app usage in Pakistan.Methodology: A cross-sectional study was conducted using a pretested form, distributed via Google Forms. Convenience sampling was used to select a sample of 357 MBBS, BDS, Allied Health, and Nursing students of CMH Lahore Medical College. Data was analyzed using “SPSS version 23.0”. Descriptive statistics were calculated as frequencies. A “p-value” of less than 0.05 was deemed statistically significant.Results: Out of all the participants (357), 40.3% were males, and 59.7% were females, with an average age of20.89 ± 1.61. 95.5% of the participants used intelligent devices, and 86.6% were aware of the medical apps available for use on mobiles. A majority (64.1%) of the students had various medical apps installed on their phones. Almost half of these students (45.1%) were advised by medical educators to use different medical apps for their studies. Most of the students made use of medical apps to search for medical information (49.7%), followed by exam preparations (37.6%), Revision (34.6%), and preparation of presentations (26.4.%). The use of general clinical textbooks and clinical skills guide apps were 22.2% and 23.9%, respectively. 20.5% of the participants did not use Medical Apps for any purpose. A Likert scale showed that students think that Medical Apps are easy to obtain, and many of them frequently use them too. They believe that these apps save time during clinical practice. Medscape was the most common app being used (29.3%), followed by Gray’s Anatomy (25%) and Pharmapedia (23.9%). Conclusion: The common usage of medical apps was recurrent amongst medical students
From Separate Silos to a Cohesive Whole: The story of Integrated Medical Education
Authors: Atta Komal
Published: June 2023

An integrated curriculum broadly refers to collaborative methodologies of studying various disciplines together in a linked form. This has widely become the method of choice for imparting undergraduate medical education.1 In the context of Pakistan, where the medical education is predominantly based on a traditional discipline based approach, the examples of implemented integrated curricula have been few and far between due to a number of factors namely, logistics, faculty training, faculty readiness, student to teacher ratio and infra structure being a few prominent ones. 2 Despite these challenges, the University of Health Sciences (UHS) recently took up the task to introduce an integrated medical curriculum in Pakistan, the curriculum “2k23” has now been implemented in the 50 constituent colleges of the UHS.
De Halt-interventie in het licht van het recht op participatie: theorie, werkwijze en de ervaringen van jeugdigen
Authors: van der Linden Marloes , Jeltes Marije
Published: June 2023

The Halt intervention in the context of the right to participation: theory, method and the experiences of young people

This article examines which obligations the right to participation entails and to what extent the working method of Halt with regard to the Halt intervention – which aims to divert a child from the juvenile justice system when accused of a crime – complies with these obligations, and what the opinion is from young people who have experienced the Halt intervention about this working method. To this end, the following is discussed in succession: the international and European legal framework, the laws and regulations regarding the Halt intervention, the working method of Halt before, during and after the Halt intervention and the results from the surveys conducted among 515 young people who have completed a Halt intervention in 2020 or 2021. The research group is a selective and non-representative sample. According to the young people in the research group, the provision of information at the end of the Halt intervention needs improvement, as does the child-friendliness of the rooms in which the conversations are held. According to the respondents, the equality in the conversations with the Halt employee and the voluntary nature of the Halt intervention can also be improved. The presence of the parent(s) of the juvenile to improve the participation of juveniles is debatable on the basis of the research findings.
Entre traducción y arabización: la transmisión de textos europeos al árabe durante la nahda. El caso de al-Tahtawi
Authors: Tagourramt El Kbaich Abdallah
Published: June 2023

La traducción y la arabización a menudo se consideran sinónimos en el marco de la transmisión de los textos de cualquier lengua hacia el árabe. No obstante, en el fondo ambos términos forman parte de una dinámica inconsistente. Se someten a unas normas establecidas en los proyectos de traducción liderados por la institución política en el contexto árabe-otomano. A partir de este planteamiento, este artículo arroja luz sobre el renacimiento árabe (nahda) que comenzó en Egipto a mitad del siglo XIX y trató de renovar, a través de la traducción, la vida cultural árabe durante la era moderna. Nuestra intención es centrarnos en analizar y criticar la labor de los traductores y de los arabizadores ejercida para llevar a cabo la compleja transmisión de textos del francés al árabe, sin perder de vista el papel intermediario que desempeñó el idioma turco-otomano en dicha operación. Como caso práctico, se examinarán algunas traducciones de al-Tahtawi para comprobar hasta qué punto estamos hablando de procesos de traducción o de procedimientos de arabización.
Traducció, tradició, traïció: al·lòtrops (o quasi) confluents
Authors: Murgades Josep
Published: June 2023

En aquest text em permeto fer una reflexió molt general i lliure sobre els termes exposats en el títol. Res a veure, per tant, amb cap aportació original fruit d’una recerca innovadora. M’estenc en algunes consideracions sobre conceptes i realitats afins a la teoria i a la pràctica de la traducció, prou perquè en quedi palès un cop més que totes dues resulten del tot indestriables. I perquè, en el millor dels casos, tot plegat contribueixi a fer-nos més cabal de la solta i la volta de l’activitat professional a què, de manera més ocasional o sistemàtica, ens lliurem: la de traduir.
Disrupción biográfica y discapacidad cognitiva en el daño cerebral adquirido. Visibilización narrativa
Authors: Salazar Villanea Mónica , Prada Murillo Irene , Ortega Araya Luis Enrique , Víquez Sancho Daniella , Calvo Molina Javeth
Published: June 2023

Este artículo tiene como objetivo visibilizar vivencias sobre el daño cerebral adquirido (DCA) y la discapacidad cognitiva en Costa Rica, realizando un análisis de narrativas. Se llevaron a cabo entrevistas semiestructuradas a dos personas con DCA, una persona familiar y una persona profesional que trabaja con personas con DCA. A partir de un análisis fenomenológico se extrajeron las categorías: (1) disrupción biográfica; (2) disrupción ontológica desde el sistema familiar y laboral; (3) disrupción social desde las barreras y límites del entorno, incluyendo repercusiones de la pandemia por COVID-19; y (4) la resignificación como metaperspectiva de nuevos significados de la experiencia. Las narrativas recopiladas muestran los múltiples cambios que las personas suelen enfrentar en su reintegración al mundo social, con la particularidad de su vivencia en un país latinoamericano, caracterizado por un tejido vincular proximal y características sociosanitarias diferentes a otras latitudes. Se discute la importancia del acercamiento narrativo para rescatar resignificaciones de la identidad, así como su función de conexión y sentido en la construcción de andamiajes socioemocionales y psicosociales.
Analysis of Multi-Robot Cooperative Hunting Using Differential Game Technique
Authors: Baba Bashir Abdullahi
Published: June 2023

This research presents two robots cooperative hunting behavior by the use of a differential game method. There are two pursuer robots that are trying to find and then surround another robot prey evader. The purpose of the game is for the two pursuer robots to find the evader simultaneously or when one of the robots finds the evader first it will wait for the other robot to cooperate with it within a specified period of time. We use differential game theory to formulate the problem with a system of an ordinary differential equation. The conditions for the termination of the game were given to be when one of the pursuers catch the evader and the other cooperate with it or when the two pursuers catch it simultaneously.We carefully analyzed all the mathematical equations developed using the ordinary differential equations for the game and present the sufficient conditions that can warrant the two pursuers to catch the evader either simultaneously or one first and then the other cooperates with the first one which will result in termination of the game. We also show mathematically that in the course of the game the robot prey evader tries to prolong the capture time, while the pursuer robots try to shorten the capture time
Beam Divergence Loss Mitigation in Free Space Optical Communication Channel Using Field of View Technique
Authors: Gambo D
Published: June 2023

A rapid advancement in the electronics and telecommunications industries has been observed. As a result, Communication gadgets are becoming more powerful and are more widely adopted. The demand for high data rate transmission is increasing. This has led to spectrum scarcity in Radio Frequency (RF) systems. Consequently, it is necessary to explore other technical means to meet the increasing demand for higher data rates. Free Space Optical Communication (FSOC) is a promising technology that offers one of such means. However, the major technical challenge in the FSOC systems is that, their performance is limited by atmospheric impairments such as: absorption, scattering and turbulence caused by rain, cloud, snow, wind, dust, aerosol, and fog. This research is aimed to addressed beam divergence challenge due to fog and raindrop in a tropical climate using wider field of view technique (FoV). The result showed that, for the fog measurement using mini solar panel at the receiver, the system achieved higher SNR of 60 dB at corresponding BER of 10-4. While, with the photodiode, the system achieved an SNR of 38 dB at same BER. For the rain measurement the same procedure was adopted and the system achieved higher SNR of 90 dB and 58 dB at same BER utilizing both solar panel and photodiode respectively. The result showed that, the fog impairment attenuates optical signal more than of rain by 34 % averagely
Fuzzy Expert System for Bank Loan Approval
Authors: Ismail Abdullahi
Published: June 2023

Background: Bank loan approval is one of the important pillars of the banking system; it is the process of approving or denying a loan to companies or individual customers by the bank. The approval process has a lot of parameters to be taken into consideration, which is ambiguous in nature; hence, bank loan approval required special knowledge to be executed. Aim: Due to the ambiguity of the approval process, we proposed the use of a fuzzy expert system which proved to handle such ambiguous problems to help banks easily and accurately make decisions on bank credit approval. This proposed fuzzy expert system will help banks in making accurate decisions easily even in the absence of the domain expert on credit approval based on the knowledge of an expert in the field. Method: The proposed fuzzy expert system was developed using a fuzzy tool in MATLAB software and it has two stages, where the first stage decides on three output parameters which are repayment, ability manage, and risk. Total asset, credit repayment, 18% earning, business stability, credit missed, asset/debt ratio, bond rating, and dollar to Naira ratio are the input parameters for the first stage of the system. The second stage of the system used the output parameters values of the first stage as its input parameters to make the final decision on whether to approve the credit or not. Results: Using 0.938, 0.583, 0.715, 0.88, 0.104, 0.897, 0.842, and 0.856 membership degree for total asset, credit request (loan amount), 18% earning, business stability, asset/debt ratio, bond rating, and dollar to naira ratio respectively as an input to the first stage of the system, the resultant output were 0.625, 0.367, and 0.25 for repayment, ability manage, and risk respectively, and those were feed to the second stage and result in 0.656 loan membership degree which means the loan can be approve to the customer
A Study of Hybridized Smell Agent Symbiotic Organism Search in Congress on Evolutionary Computation Functions
Authors: Mohammed Salisu
Published: June 2023

This paper presents a study of the Smell Agent Symbiotic Organism Search (SASOS) hybrid algorithm. SASOS is developed from bioinspired Smell Agent-Based Optimization(SAO) and Symbiosis Organism Search (SOS) algorithms. Bioinspired algorithms often lack a balance between speed and accuracy to achieve optimal performance efficiency and a global search for the best solution. To address these challenges, the algorithm reduces the imbalance between diversification and intensification in bioinspired algorithms to improve the search for global optima. SASOS performance was evaluated in sixteen selected Congress on Evolutionary Computation (CEC) functions using Aggregative Best Counts (ABC) compared to the regular SAO and SOS algorithms. For an advanced performance comparison, the convergence study was carried out on each CEC function to assess the fitness of the algorithms based on the Desirable Convergence Goal (DCG). Evaluation results using 50 iterations have shown that SASOS performed better withABCof56.25%than the SAO and SOS algorithms with ABC of 28.12% and 15.63%, respectively, in standard benchmark functions. Furthermore, in the convergence study, 1000 iterations were superimposed for each algorithm on the CEC functions. The convergence results showed that SASOS obtained the best DCG of 58.83%compared to SOS and SAO with DCG of 25.00% and 16.67%, respectively. These results made the performance of the hybrid SASOS uniquely different from other similar approaches.This is because the hybrid SASOS satisfactorily balanced the diversification and intensification phases in the bioinspired SAO and SOS algorithms. The eligible characteristics of the hybrid SASOS with respect to ABC and DCG showed its compatibilityand significance forvarious engineering optimizationapplications
Embedded Internet of Things (IoT) Enviromental Monitoring System Using Raspberry PI
Authors: Muhammad Dauda
Published: June 2023

Background: Measuring and monitoring the temperature and humidity levels in a computer laboratory is crucial for ensuring the safety of the facility and the comfort of those using it. The latest technology for collecting this data is the Internet of Things (IoT), which uses sensors to monitor these parameters remotely. Aim: This paper presents an IoT system that assesses the temperature and humidity levels in a computer laboratory using a Raspberry Pi single-board computer and a DHT11 sensorMethod: The major contribution of this research is it utilizes the ThingSpeak Cloud database which provide the result faster within the shortest interval time which improve the temperature and humidity values more than the traditional Message Queue Telemetry Transport (MQTT). The DHT11 sensor captures the temperature and humidity data, which is then uploaded to the servers in real-time. This allows laboratory managers and decision-makers to monitor the laboratory's condition through a web portal or a mobile application installed on their Android or iOS devices from anywhere.Results:The results show that the ThingSpeak Cloud database provides the result of the temperatureas to 31.5°C and the relative humidity 74.8%.
Sum-Rate Systematic Intercell Interference Coordination Techniques for5GHeterogeneous Networks
Authors: Bello H.
Published: June 2023

In the next generation of wireless networks, small base stations are being adopted to increase the system's speed and capacity. However, this adoption increases the likelihood of inter-cell interference, which can degrade performance the system. This report discusses different approaches to managing interference that can mitigate these effects. Currently, a few techniques are already in use in 4G systems, while others have been suggested but not put into practice. The purpose of this study is to conduct an analytical examination of the different and various interference management methods that could be utilized in Heterogeneous Networks (HetNets), focusing specifically on HetNets with high density of small cells as they are expected to be part of the network topology for 5G networks and beyond. The study involved implementing time-based enhanced inter-cell interference coordination (eICIC) by establishing coordination between macro and small base stations. The results showed that robust communication with low latency is essential, and backhaul connections play a critical role in achieving this. Consequently, the network's sum-rate was increased.
Models Comparison Based On Intrusion Detection Using Machine Learning
Authors: Ma’aji Maimuna Yusuf
Published: June 2023

Network security is the greatest challenges in our current generation. Network intrusion detection (NID) is one of the fundamental techniques used to protect computer networks from threads. However, there is contemplation on the possibility and sustainability of the traditional approaches employed especially with the current modern networks. Recently, majority of the researchers employ the application of machine learning models such as logistic regression (LR), random forest (RF), K-nearest neighbor (KNN) and Support Vector Machines (SVM) among others to address the NID problem. In this research, the Network intrusion classification system has been analyzed based on KDD Cup ’99 data set. In the classifier implementation section, the three most widely used models were employed; K-nearest neighbor, random forest and logistic regression as our classification algorithms. The attack detection accuracy and training time was used to evaluate the models. The random forest provides the best detection accuracy of 99.5% and 74 second training time provide by logistic regression
Towards the Choice of Better Social Media Platform for Knowledge Delivery: Exploratory Study in University of Ilorin
Authors: Sikiru Ismaeel Abiodun
Published: June 2023

Rising from the outbreak of COVID-19 pandemic, all schools in Nigeria were put under lock and key, like other countries. This was to curtail the rapid spread of the virus, while the medical practitioners were in the laboratories. But due to longer period of shutdown to formal education, most higher institutions instantaneously keyed-in to any available social media platform (SMP) without understudying its efficiency and effectiveness for knowledge transfer. The consequences of this include non-satisfactory knowledge transfer, most especially, by the learners; hence, aim of knowledge impact is jeopardized. This study therefore is aimed to fill the gap to correct the existing damage, and prevent the likelihood of not-afore-put-to-test syndrome in the subsequent choice of SMP. To achieve this, University of Ilorin is chosen as the territory survey for being the most sought-after University for admission in Nigeria. Quantitative research methods were adopted, being the most appropriate for this study in the literature. A total of 200 respondents participated voluntarily with the adoption of Slovin’s formula for the sampling techniques; 156 students and 44 lecturers. The data collection process was performed through a survey comprising demographic, dichotomous, multiple choice, and open-ended questionnaire to capture detail information for the research work. Simple descriptive statistics was employed for the analysis. Our findings reveal that out of the seventeen SMPs put to test, zoom platform ranks the most effective and efficient for the knowledge delivery and acquisition by the lecturers and students of the University respectively, based on the designed principles. Therefore, making Zoom platform the most preferred for e-learning. This study recommends that choice of satisfactory SMP for knowledge delivery should be utmost concern of all institutions before embarking on virtual learning system
Design and Analysis of 1x4 and 1x8 Circular Patch Microstrip Antenna Array for IWSN Application
Authors: Otsapa Emmanuel Adotse
Published: June 2023

A 1x4 and 1x8 circular micro strip patch antenna array operating at 2.4GHz are simulated for Industrial Wireless Sensor Network (IWSN) applications using CST studio suite and MATLAB based simulator software. The circular patch antenna designed on a FR4 substrate with dielectric constant of 4.4 and a substrate height of 1.6mm is fed using inset-fed technique. Several antenna characteristics such as return loss, radiation pattern, bandwidth, directivity, antenna gain, radiation efficiency isanalyzed. The compact size and higher directivity help to improve the network performance by alleviating contention, increasing communication range, and mitigating interference of the system. Hence, the advantages gained, make the system more useful for IWSN applications as achieved in this research
Robust Watermarking Techniques for the Authentication and Copyright Protection of Digital Images: A Survey
Authors: Onoja Godwin Ugwu
Published: June 2023

Digital image authentication and security are crucial concerns for the digital revolution since any image may be readily tampered with. Digital watermarking schemes were since been utilized to tackle a range of problems over time and involving the verification of digital images and copyright protection. In a real-world setting, watermarked contents are frequently subject to a succession of assaults which makes it necessary to strike a balance between resilience and imperceptibility in the face of attacks. There are numerous hazards to this, and numerous watermarking techniques have been created to counter them. Data with less perceptual distortion should be able to be included in a real watermarking technique in addition to restoring the original cover content. As a result, robustness, imperceptibility, and security are three crucial criteria for digital content'sauthentication and copyrightpreservation. This study therefore presents a careful review of some cutting-edge watermarking technologies used for copyright protection and authentication so as to identify their strengths and limitations. For clarity, this study shall explain some basic concepts of digital watermarking as well as the various forms of attacks on watermarks. The contributions from this work will be useful to researchers aim at developing efficient watermarking techniques
Artificial Intelligence in Analytical Spectroscopy, Part II: Examples in Spectroscopy
Authors: Workman Jerome , Mark Howard
Published: June 2023

In Part I (February 2023) of this two-part series on artificial intelligence (AI), and its subfield machine learning (ML), we presented the variety of chemometric algorithms used to compare AI, ML, and chemometrics. These algorithms included those used for classification, regression, clustering, ensemble learning, signal processing, and component analysis. Now, in Part II, we discuss the applications of AI to electronic and vibrational spectroscopy. We also touch on some applications of deep learning (DL), which is a subfield of machine learning where more complex artificial neural networks (ANNs) with more hidden layers are used. This column article includes a number of selected references that discuss the application of AI in analytical chemistry and in molecular spectroscopy. We give a few early and late examples of AI and ML as applied to different vibrational spectroscopy methods, such as Raman, infrared (FT-IR), near-infrared (NIR), and ultraviolet–visible (UV-vis) spectroscopic techniques. This article is intended only as a sampling of the numerous research manuscripts addressing this subject.