bluuebunny/crossref_metadata_2025 huggingface dataset:
Sample size determination when the parameter of interest is the coefficient of variation under normality for the data
Authors: Achcar Jorge Alberto , Barili Emerson
Published: December 2024

This study considers classical and Bayesian inference approaches for the coefficient of variation under normality for the data, especially on the determination of the sample size of a random sample needed in a second stage of an experiment. This topic has been explored by many authors in the last decades. The first goal of the study is to present simple formulations to get the inferences of interest for the coefficient of variation under normality and usual frequentist approach based on the asymptotic normality of the maximum likelihood estimators for the mean and standard deviation of the normal distribution and using the delta method to get the inferences of interest for the coefficient of variation. Simple hypothesis tests and determination of the sample size are discussed under the frequentist approach.The second goal of the study is to present a sample size determination under a Bayesian approach, where it is assumed a Jeffreys non-informative prior distribution of the parameters of the normal distribution assumed for the data and using standard Markov Chain Monte Carlo (MCMC) methods to get the posterior summaries of interest.
A New Pareto Model: Risk Application, Reliability MOOP and PORT Value-at-Risk Analysis
Authors: Yousof Haitham M. , Aljadani Abdussalam , Mansour Mahmoud M. , Abd Elrazik Enayat M.
Published: December 2024

The paper introduces a new reliability Burr Pareto type-II model, showcasing its versatility and effectiveness in engineering applications, particularly in analyzing the failure and service times of aircraft windshields. The BUPII model's application in failure analysis offers insights into the probabilistic behavior of windshield failures, aiding in risk prediction and management. Similarly, its extension to service time analysis demonstrates its utility in optimizing maintenance schedules and operational efficiency. Moreover, the paper conducts a rigorous mean-of-order P analysis under both failure and service time datasets, validating the new model's reliability assessment capabilities. Furthermore, employing the peaks over random threshold value at risk analysis highlights the model's practical relevance in quantifying financial risks associated with extreme events. Overall, the novel probability distribution emerges as a valuable tool for engineers and researchers involved in reliability and risk analysis, promising advancements in understanding and managing the reliability of engineering systems. Future research could explore broader applications and refined methodologies to further enhance predictive capabilities and decision-making support.
A Novel Model for Finance and Reliability Applications: Theory, Practices and Financial Peaks Over a Random Threshold Value-at-Risk Analysis
Authors: Aljadani Abdussalam , Mansour Mahmoud M. , Yousof Haitham M.
Published: December 2024

In this paper, the authors introduce a new three-parameter lifetime probability distribution known as the Marshall-Olkin-generated log-logistic (LL) distribution. They thoroughly examine and describe this distribution, providing insights into its characteristics and its suitability for various applications. This newly constructed distribution's density function exhibits characteristics of both symmetry and right-skewness, providing modelling flexibility across a range of datasets. Because of its skewness coefficient, which can take both positive and negative values, a wide range of data asymmetries can be represented. The Marshall-Olkin generated LL distribution's corresponding hazard rate displays a variety of characteristics, including monotonic increase, increasing-constant, constant, upside-down, and monotonic drop. Because of its adaptability, the distribution can successfully capture various risk or failure rate patterns across time. Using a number of techniques, the researchers expand this distribution to the bivariate domain. Its utility in modelling multivariate lifetime data and inter-variable relationships is improved by these extensions. The researchers use the maximum likelihood method to estimate the parameters of the distribution, which ensures reliable and effective parameter estimation from observed data. They carry out an extensive simulation research to analyse biases and mean squared errors in a range of scenarios and sample sizes in order to evaluate the finite behaviour of the maximum likelihood estimators. In real-life and reliability applications, this meticulous methodology aids in evaluating the estimators' precision and dependability. Because it may offer a comprehensive and nuanced knowledge of high financial risks, the Peaks Over a Random Threshold Value-at-Risk (PORT-VaR) study is crucial for evaluating Norwegian fire insurance claims. This financial analysis is given extra consideration.
Weighted Grouping Estimation Method for Fitting Multiple Structural Regression Model when all Variables are Subject to Errors
Authors: Al Dibi'i Ro'ya , Abdul Rahman Rosmanjawati , Al-Nasser Amjad
Published: December 2024

The Measurement Error Model (MEM) is employed to fit the relationship between two or more variables when all variables are subject to measurement errors. In the specific case of only two variables, this model is referred to as the Error in Variables model. This paper proposes two new estimation methods for a multiple structural measurement error model, applicable when all variables are subject to errors. The proposed methods, the Repetitive Weighted Grouping and the Iterative Weighted Grouping, are extensions of the Wald estimation method. To evaluate the performance of these new estimators compared to classical estimators-namely, the Maximum Likelihood Estimator (MLE) and the Method of Moments (MOM), a Monte Carlo experiment was conducted. The simulation results showed that the proposed estimators outperform the classical estimators in terms of root mean square error and bias. Additionally, real data analysis was performed to assess the relationships between national GDP, unemployment rate, and human development index using the proposed estimation methods. The results reveal that, based on mean square error (MSE), the proposed methods with r =3 and r =4 yield more accurate estimators than other methods in weight case 1, while the proposed method with r =4 proves more accurate in weight case 2. Furthermore, the proposed procedures demonstrate greater efficient than MLE and MOM in fitting the model.
Gamma Lindley distribution in acceptance sampling plans in terms of truncated life tests with an application to industrial data
Authors: Al-Omari Amer Ibrahim , Ismail Mohd
Published: December 2024

Acceptance sampling plans (ASP) are needed in areas where 100% inspection is impractical or expensive. They help ensure product quality meets requirements, reduce inspection costs, and prevent nonconforming goods from reaching customers. The ASP that are well-planned offer an efficient and dependable way to maintain quality control in manufacturing procedures and supply chains. The Gamma Lindley distribution (GaLD) is used to design acceptance sampling plans in this study when the life test is truncated at a pre-specified (pre-determined) time. The mean is used as the quality parameter. The smallest sample size is required to guarantee that the desired life mean is reached at the risk of the particular consumer. In addition to the producer's risk, the operating characteristic values of the sample plans are presented. In order to evaluate the suggested sampling plans, a real data from the first failure of 20 electric carts utilized for internal transportation and delivery in a big manufacturing facility is provided.
A Bimodal Extension of the Tanh Skew Normal Distribution: Properties and Applications
Authors: Das Jondeep , Hazarika Partha Jyoti , Chakraborty Subrata , Pathak Dimpal , Hamedani G. G. , Karamikabir Hamid
Published: December 2024

This article introduces a novel family of skew distributions namely Bimodal Tanh Skew Normal (BTSN)distributions, which incorporates a new skew function with the help of hyperbolic tangent function. Thisnew distribution is designed to accommodate data sets with two modes. Besides, the article presents variousessential mathematical properties, such as moments, moment generating function, characteristic function,mean deviation, characterizations and the method for maximum likelihood estimation of this distribution.A simulation study is also conducted using Metropolis–Hastings algorithm to examine the behavior of theobtained parameters. Furthermore, the practical utility of this new distribution is demonstrated througha real life application involving a specific data set. To assess the suitability of the BTSN distribution, thearticle employs Akaike information criterion (AIC) and Bayesian information criterion (BIC). Finally, alikelihood ratio test is conducted to distinguish between the new model and the existing competing models.
Detection of Outliers Method in Grouped Multivariate Data: A Method Based on Multiple Linear Regression
Authors: Phuttisen Suthat , Srisodaphol Wuttichai
Published: December 2024

Cluster analysis is applied to group data so that samples within the same group are similar. A common problem with multivariate data implementation is that the data differs significantly from most of the other data. Outliers can significantly impact data analysis and model performance, making their detection crucial in various domains. This study presents an investigation of the outlier detection method using multiple linear regression for grouped multivariate data. The research compares the performance of the proposed method with two existing approaches, namely the Caroni and Billor (2007) method and the Hardin and Rocke (2004) method. In the case of uncontaminated data, the proposed method demonstrates a high percentage of detected outliers as the number of variables and sample size increase, indicating its effectiveness in outlier identification. In the scenario of contaminated data, the results reveal that the proposed method consistently outperforms both the Caroni and Billor method and the Hardin and Rocke method in terms of accuracy and precision. These findings highlight the effectiveness of the proposed method for outlier detection in grouped multivariate data. The study contributes to the existing knowledge of outlier detection approaches and provides insights into their performance under different data conditions. Researchers and practitioners can benefit from these findings when selecting appropriate outlier detection methods for various applications.
A Novel Reciprocal-Weibull Model for Extreme Reliability Data: Statistical Properties, Reliability Applications, Reliability PORT-VaR and Mean of Order P Risk Analysis
Authors: Shehata Wahid A. M. , Aljadani Abdussalam , Mansour Mahmoud M. , Alrweili Hleil , Hamed Mohamed S. , Yousof Haitham M.
Published: December 2024

Peaks over a random threshold value-at-risk (PORT-VaR) analysis is a powerful tool for evaluating extreme value reliability data, particularly for materials like carbon and glass fibers. By incorporating random thresholds into traditional value at risk (VaR) and tail value at risk (TVaR) frameworks, it provides a more nuanced understanding of how materials behave under extreme conditions, making it invaluable for applications where failure is costly or dangerous, such as aerospace, automotive, and civil engineering. The combination of Mean of Order P (MO-P), VaR and PORT-VaR analyses in medical data offers important insights into risk evaluation and patient management. By examining both average and extreme strength of glass fibers, healthcare professionals can create more effective treatment plans, enhance patient outcomes, and improve overall care quality. This comprehensive approach enables more sophisticated decision-making and targeted interventions in clinical settings. To illustrate our main objective and conduct a medical analysis, we introduced a new extreme value model called the generalized Rayleigh reciprocal-Weibull (GR-RW) and presented its key mathematical results. Additionally, we conducted a simulation study and analyzed two real datasets to compare the competing models.
Evaluating the Efficiency of Turkish Banking Sector Using Data Envelopment Analysis and Malmquist Productivity Index: Covid-19 Pandemic and After
Authors: Altındağ İlkay
Published: December 2024

Covid-19 pandemic has created a deep crisis with social, cultural, economic, and political consequences all over the world. In this study, we used the Malmquist Total Factor Productivity Change Index (TFPCH) and Data Envelopment Analysis (DEA) methods to assess the efficiency and performance of banks during the Covid-19 pandemic and in the post-pandemic era. We performed the application for 17 banks in Türkiye of which data structure is suitable for analysis. For the analysis, data from 2019, the beginning of the Covid-19 epidemic, to 2022, when the epidemic almost ended, were used. The highest value of the general efficiency average of banks is 0.943 in 2020. 2020 is also the year with the highest number of effective banks with a total of 9 effective banks. The highest value of the TFPCH general average is 1.543 in the 2021-2022 period. It was determined that the state banks had the highest average efficiency percentage and the highest TFPCH average for the entire period of 2019-2022.
Designing a variable control chart for a two-stage production process
Authors: Naidu BM , Khan Nasrullah , Aslam Dr. Muhammad
Published: December 2024

In this paper, a variable chart has been proposed to study a two-stage serial production process. Measurements of quality characteristics of products processed at each stage are assumed to be independent and follow normal distribution. In order to evaluate performance of the control chart, two cases of equal shifts in both the stages and unequal shifts were considered and results were presented accordingly. The necessary measures are given to calculate the average run length (ARL) for shifted processes. The tables of ARLs are presented for equal and different sample sizes at first- and second- stage. Performance of the proposed control chart is presented using a simulation study.
Topp-Leone generalization of the Generalized Pareto distribution and its impact on Extreme value modelling
Authors: Verster Andrehette , Mbongo Sfiso
Published: December 2024

Extreme Value theory (EVT) is a phenomenon used to model rare or extreme events and has been useful in well-known areas such as finance, economics, hydrology, insurance, etc. In this paper, we combine EVT and Bayesian statistics to estimate the extreme value index and other distribution parameters. EVT studies the behavior of the tails of the distribution, while Bayesian statistics allows us to incorporate prior knowledge of the parameters. The interdependence between these two statistical branches allows us to account for uncertainty in parameter and tail estimation. Block maxima and Peaks over Threshold are EVT divisions that are used to model observations. In this paper we use the Peaks over Threshold approach. The generalized Pareto distribution is a Peaks over Threshold distribution. Existing literature studied the generalizations and extensions of the generalized Pareto distribution. These extensions mostly focus on the positive domain of attraction. In this paper we contribute to the study of EVT by considering both the negative and positive domains of attraction. We consider the (Topp and Leone, 1955) generalization for the generalized Pareto distribution. We show, by means of a simulation study, that this distribution can effectively estimate the extreme value index and that it is less sensitive to threshold selection than the normal generalized Pareto distribution.
A New Discrete Generator with Mathematical Characterization, Properties, Count Statistical Modeling and Inference with Applications to Reliability, Medicine, Agriculture, and Biology Data
Authors: Yousof Haitham M. , Al-Nefaie Abdullah H. , Butt Nadeem Shafique , Hamedani G.G. , Alrweili Hleil , Aljadani Abdussalam , Mansour Mahmoud M. , Hamed Mohamed S. , Ibrahim Mohamed
Published: December 2024

In this piece of work, we examine and present a completely new discrete family of distributions that we have created. Our investigation into the relevant mathematical properties and characterizations of the system makes use of both analytical and numerical methods. We focus on a particular member of this family so that we can study its theoretical foundations as well as its graphical and numerical representations. This new model contains a few different hazard rate functions, some of which are referred to as "increasing constant", "decreasing-constant-increasing (U)", "constant", "U-constant", "decreasing", and "J-shape" In a similar vein, the model's probability mass function provides a variety of forms, all of which are helpful and practical. These forms include "asymmetric left skewed," "right skewed with wide peak," "right skewed," "bimodal," "symmetric," and "right skewed," amongst others. Each of these forms is valuable and applicable in their own way. These forms might be discovered in the probability mass function that the model generates. In this investigation, in addition to the Bayesian estimating technique under the traditional loss function of squared errors, we investigate and make use of a total of eight estimate strategies that are not founded on Bayesian theory (classical methods). Simulations employing the Markov Chain Monte-Carlo method are run for comparing the Bayesian way of estimation with the more traditional approach of estimating values. According to the findings that we've compiled, the estimation strategy that is referred to as maximum likelihood yields the most accurate results across the board and for all different types of sample sizes. In addition, we evaluate and contrast the various methods of estimation by making use of six distinct real dataset sets; this indicates the versatility of the unique model that we have developed.
Flexible Group Service MAP/ PH/ 1 Queueing Model with Working Breakdown, Repair and Balking
Authors: S Kalaiarasi , G Ayyappan
Published: December 2024

In reality, there are many uses of queues where services are provided in groups and these type of queues are widely studied in the literature. In this paper we examine a particular queueing model, wherein the services are provided in groups ranging from 1 to a pre defined constant, denoted as K, and the arrival follows a Markovian arrival process. The service time of each individual customer follows phase type distribution. The maximum of each customers individual service time within a group is defined as the group's service time. At the service completion moment if there are fewer customers than K,  the server won't  begin the subsequent service until the system's customer size reaches K or a randomly assigned admission period expires, whichever happens first. The phase type representation of the service times depends on the group's size. Anytime a server breakdowns and it will not proceed to repair, instead it will serve the affected customer group at a slower pace. After that specific customer group's service is finished, the server will immediately undergo repair to fix any issues. The process of repair and breakdown occurs at exponential rate. When the server breakdowns, the customer might balk. The Markov chain's stability condition is determined and stationary probability vector is computed. Formulas for the primary system performance measures are given. Numerical and graphical representations of the proposed model are illustrated.
A Unified Family for Generating Probabilistic Models: Properties, Bayesian and Non-Bayesian Inference with Real-Data Applications
Authors: Abdelaziz Mohamed A. , Nofal Zohdy M. , Afify Ahmed Z.
Published: December 2024

This paper introduces a new generator called the inverse-power Burr–Hatke-G (IPBH-G) family. The special models of the IPBH-G family accommodate different monotone and nonmonotone failure rates, so it turns out to be quite flexible family for analyzing non-negative real-life data. We provide three special sub-models of the family and derive its key mathematical properties. The parameters of the special IPBH-exponential model are explored from using eleven frequentist and Bayesian estimation approaches. The Bayes estimators for the unknown parameters are obtained under three different loss functions. Numerical simulations are performed to compare and rank the proposed methods based on partial and overall ranks. Furthermore, the superiority of the IPBH-exponential model over other distributions are illustrated empirically by means of three real-life data sets from applied sciences including industry, medicine and agriculture.
Producción de biobutanol a partir de bagazo de cerveza mediante fermentación ABE en Colombia
Authors: Castiblanco Urrego Orlando , Cárdenas Romay Dany José
Published: December 2024

El artículo explora la viabilidad de producir biobutanol a partir de bagazo de cerveza en Colombia mediante fermentación ABE (Acetona-Butanol-Etanol), utilizando el microorganismo Clostridium beijerinckii. Para evaluar el proceso, se revisó la información de diferentes bases de datos, se analizó la disponibilidad de bagazo de cerveza, principalmente proveniente de la cervecera Bavaria, y se establecieron los parámetros de escalamiento, con un diseño de planta piloto que produciría 100 kg de biobutanol mensuales. La producción involucra el pretratamiento ácido y enzimático del bagazo, seguido de fermentación y separación del producto a través de destilación. Los costos se estimaron en términos de infraestructura, operación y mano de obra, alcanzando un balance financiero positivo. El estudio sugiere que una planta piloto de biobutanol sería factible en Colombia, dadas las condiciones locales de materia prima, tecnología y mercado de biocombustibles, ofreciendo beneficios ambientales y económicos al reducir la dependencia de combustibles fósiles y mejorar la gestión de residuos industriales.
Survivors of Complex Trauma as Adult Online Learners
Authors: Schmidt Hilary
Published: December 2024

Complex trauma is both a product and a source of significant multidimensional inequality, including profound disruption to survivors’ educational trajectories. Nonetheless, educational researchers have not previously engaged with adult survivors who study online, contradicting the key principle of collaboration within a trauma-informed approach. This qualitative instrumental collective case study explored how adults with a history of complex trauma experience postsecondary open/online learning. Findings included participants’ struggles with executive functioning, challenges regulating emotion and dealing with a heightened perception of threat, re-experiencing trauma, negative beliefs about the self, and difficulties navigating relationships. These trauma impacts affected not only participants’ learning and course experience, but also their experience of applying, registering, and accessing financial aid. Nonetheless, participants are demonstrably skilled in managing the impacts of their trauma and are driven to learn, placing the highest intrinsic value on education. Top priorities for the implementation of trauma-informed educational practices identified by participants included establishing safety; trust and transparency; and empowerment, voice, and choice. Implications include enhancing equity and inclusion for survivors of complex trauma through the implementation of trauma-informed educational practices in open/online postsecondary contexts.
Cortical Areas Involved in Subjective Visual Vertical Perception: A Systematic Review
Authors: Jafari Meymaneh , Haghgoo Hojjat Allah , Hosseini Seyed Ruhollah , Ashayeri Hassan , Bakhshi Enayatollah , Shaabani Moslem
Published: December 2024

Background and Aim: The information related to brain oscillation, head rotation and head orientation relative to gravity is obtained from the vestibular system. An important reference for upright posture and navigation is gravity-based vertical perception. Many studies have been conducted for the determination of cortical areas involved in Subjective Visual Vertical (SVV) perception in healthy people or patients with brain injuries. Their results have indicated an extensive and bilateral cortical area involved in SVV perception. The purpose of this review study is to investigate these cortical areas and their functional role.
Recent Findings: Neuroimaging studies in patients with brain injuries showed that multiple cortical areas have a role in SVV perception. These areas mainly include the occipital cortex, frontal cortex, posterior temporoparietal, temporo-occipital, parieto-occipital, superior temporal gyrus, inferior parietal lobe in temporoparietal junction, posterior insula, cuneus, lingual gyrus, precuneus, ventral dentate nucleus, cerebellum, and brainstem.
Conclusion: The cortical areas involved in SVV perception are a part of the vestibular system, which is distributed bilaterally. These areas have a multi-sensory processing task and play a role in processing of cognitive and motor sensory information.Keywords: Subjective visual verticality; vertical perception; cortex; vestibular network
Normative Wideband Tympanometry Measures in Birth to 2-Months Iranian Infants: A Preliminary Study
Authors: Stajloo Ebrahim , Niri Hassan Haddadzade , Maarefvand Mohammad , Mazaheryazdi Malihah
Published: December 2024

Background and Aim:  Wideband Tympanometry (WBT) evaluation of the middle ear   is a more accurate approach to identifying middle ear disorders, especially in infants and neonates. Therefore, the need to achieve WBT normative values in the infant population seems obvious. This study aims to evaluate the normative wideband tympanometry values measured in birth to 2-months Iranian infants.
Methods: Sixty-four infants participated in this study, including 9 girls and 11 boys in the age group of 0–14 days and 17 girls and 27 boys in the age group of 15–60 days.
Results: The normative range of the mean resonance frequency in the first and second  age groups was between 298–323 Hz and 324–339 Hz, respectively. At the frequencies of 500 Hz and 1000 Hz, the effect of age groups, at the frequency of 2000 Hz, the effect of age groups, gender, and ear side, at the frequency of 6349 Hz, the effect of gender and age groups, and finally at the frequency of 8000 Hz, the effect of gender in different modes was observed. The normative range of the mean ear canal volume in the first and second age groups was between 0.41–0.38 ml and 0.42–0.46 ml, respectively. The normative range of mean peak tympanometric pressure in the first and second age groups was between –21 to 32 daPa and –8 to 25 daPa.
Conclusion: The use of separate norms for males and females in different situations may increase the sensitivity and specificity of the wideband tympanometry.
Keywords: Wideband tympanometry; normative values; infant
Effect of the Several Herbal Medicines Mixture on BMI and Lipid Profile -The Animal Study
Authors: Mohammadzadeh Mozhgan , Shamsizadeh Ali , Memarzadeh Mohammad Reza , Hassanshahi Jalal , Kaeidi Ayat , Khademalhosseini Morteza , Shafiepour Mohammad-Reza
Published: December 2024

Objective: Obesity involves complex pathological mechanisms. Multi-herbal formulations targeting diversepathways may provide synergistic therapeutic benefits. This study aimed to evaluate the anti-obesity effects ofa standardized multi-herbal formulation (GUTAC), consisting of Glycyrrhiza glabra, Urtica dioica, Trigonellafoenum-graecum, Artemisia persica and Camellia sinensis
Materials and Methods: Obesity was induced in male Wistar rats (n= 30) via a high-fat diet (HFD) forthree months. Subsequently, the rats were divided into three groups (n= 10 per group): (1) HFD alone, (2)HFD with GUTAC, and (3) standard diet (SD) with GUTAC, for an additional three months. Key parameterssuch as body mass index (BMI), blood biomarkers, and histopathological changes in the liver and kidney wereevaluated.
Results: BMI was significantly lower in both the HFD+GUTAC and SD+GUTAC groups compared to theHFD group (P< 0.05). Notably, the SD+GUTAC group exhibited a more pronounced BMI reduction,indicating that combining GUTAC with a standard diet yields greater benefits than its combination with ahigh-fat diet. GUTAC treatment significantly reduced blood glucose levels (P= 0.0013), liver enzyme activity(AST and ALT), and improved lipid profiles, including total cholesterol, HDL, LDL, and triglycerides,compared to the HFD group (all P< 0.05). Furthermore, GUTAC enhanced renal function markers (BUN andcreatinine) and mitigated hepatic steatosis, as evidenced by histological analysis.
Conclusion: The standardized multi-herbal GUTAC formulation demonstrated significant anti-obesity,hypolipidemic, hepatoprotective, and renoprotective effects in a rat model. These benefits are likely mediatedby the bioactive compounds’ modulation of lipid metabolism, oxidative stress, and inflammatory pathways.These findings highlight GUTAC's potential as a multi-target therapeutic strategy for obesity, warrantingfurther exploration in human clinical trials.
Evaluation of the Effects of Empagliflozin on Serum Levels of Triglycerides and Cholesterol in Patients with Type 2 Diabetes Mellitus and Hypertriglyceridemia: A Prospective Study
Authors: Choobkar Saeid , Alilou Mohsen , Mahmoudvand Golnaz , Rouzbahani Arian Karimi
Published: December 2024

Objective: Sodium-glucose cotransporter -2 (SGLT2) inhibitors may improve lipid panels in addition to lowering blood sugar. This research examined how empagliflozin, an SGLT2 inhibitor, affected triglycerides in type 2 diabetes mellitus (T2DM) patients with hypertriglyceridemia
Materials and Methods: This prospective study was conducted at the Endocrinology Clinic of Shahid Rahimi Hospital in Khorramabad, Iran, in 2020. Thirty-eight patients were included using convenient sampling. The patients’ information including age, gender, body mass index (BMI), Fasting Blood Sugar (FBS), Hemoglobin A1c (HbA1c), 2-hour postprandial blood sugar, serum triglyceride, total cholesterol, High-Density Lipoprotein (HDL), Low-Density Lipoprotein (LDL), serum insulin level, serum creatinine Aspartate Aminotransferase (AST), Alanine Aminotransferase (ALT), Blood pressure, and urine albumin before and three months after receiving empagliflozin 10mg tablets were collected from the clinic medical archives and compared using paired t-test in SPSS software version 22.
Results: BMI, microalbuminuria, BUN, FBS, 2-hour postprandial blood sugar, and HbA1c were improved significantly (P< 0.05) after treatment with empagliflozin. In terms of lipid panels, triglyceride, cholesterol, and LDL levels were improved significantly after treatment with empagliflozin (P< 0.05). HDL levels increased following the treatment but the difference was not statistically significant. There was no linear correlation between HbA1c and HDL (P= 0.183) or triglyceride (P= 0.947) levels.
Conclusion: Empagliflozin improves triglycerides and cholesterol levels in patients with T2DM in addition to its antihyperglycemic effects. It also reduces BMI, blood pressure, BUN, and microalbuminuria
What Do Iranian Diabetic Patients Know about Diabetes? - A Review
Authors: Mehrabbeik Akram , Afkhami-Ardekani Mohammad , Namiranian Nasim
Published: December 2024

t is well established that knowledge is the key factor in optimal diabetes control. Adherence to the medicaltreatment and the healthcare provider's advice is associated with the level of knowledge about the health issue.The diabetic patients with acceptable knowledge about diabetes achieve better glycemic control. Since diabetescause is multifactorial, it is necessary for patients to have knowledge in various aspects of diabetes.This review investigates the diabetes knowledge status in Iranian people with diabetes. Most of the previousstudies were conducted on type 2 diabetes. Based on the topic, the studied conception was divided into threecategories including general knowledge, nutrition and complications. According to the reports, Iranian diabeticpeople have inadequate knowledge about different aspects of diabetes. A number of factors such as age,educational level, job status and income had a significant relationship with patients' knowledge. Consideringthe central role of the educational level in improving the level of diabetes knowledge, it is necessary to planeducational programs as much as possible, especially for illiterate or less educated patients.
Evaluation of Chelidonium Majus L. Alkaloid Effect on VEGF Gene Expression and Cell Apoptosis in the Burkitt Lymphoma Cell Line
Authors: Natanzi Mitra Sadeghpour , Parsania Masoud , Ashrafi Fatemeh , Pouriayevali Mohammad Hassan
Published: December 2024

Background: Burkitt lymphoma (BL) is a type of mature B-cell non-Hodgkin’s lymphoma that commonly develops in children and young adults. Vascular endothelial growth factor (VEGF) is acknowledged as a vital regulator of angiogenesis in both normal and disease states. In light of the adverse effects linked to chemical treatments, this study aimed to explore the anticancer effects of Chelidonium majus L. alkaloid on the Daudi BL cell line and to evaluate the expression of the VEGF gene.
Materials and Methods: This project was an experimental study. The cytotoxic effects of the alkaloid derived from Chelidonium majus L. on the Daudi and normal cells were evaluated using MTT assays (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide). The induction of apoptosis in cells was measured utilizing Annexin V/propidium iodide (PI) flow cytometry. Additionally, the expression levels of the VEGF gene were determined via a Real-time PCR assay. Data were entered into SPSS, version 21. Student’s t-test and ANOVA test were used for comparisons of groups.
Results: The 50% cytotoxic concentration (CC50) of the alkaloid from Chelidonium majus L. was found to be 56.35µg/mL in the Daudi cell. Findings from flow cytometry aligned with those from MTT assays. Real-time PCR assay results showed a significant decrease in the VEGF gene expression (P<0.009). Effects observed after 48 hours of treatment across various concentrations of Chelidonium majus L. alkaloid demonstrated dose-dependency. However, in peripheral blood mononuclear cells (PBMCs) as a control, the alkaloid did not significantly affect the expression of the VEGF gene (P>0.05).
Conclusion: The alkaloid is derived from Chelidonium majusL. Appears to influence angiogenesis by down-regulating the VEGF gene expression, suggesting its potential as a complementary agent in chemotherapy for Burkitt lymphoma. However; further research is required to evaluate the effectiveness of the Chelidonium majusL. Extract as a definitive treatment for Burkitt lymphoma.
Lambda Authorizer Benchmarking Tool with Aws Sam And Artillery Framework
Authors: Dr. M. Jaithoon Bibi  , M Sharmila , Vishnuraj R  , Madhumitha A.H
Published: December 2024

This paper proposes a novel Lambda Authorizer Benchmarking Tool utilizing AWS Serverless Application Model (SAM) and Artillery framework. The tool evaluates the performance of serverless functions implementing Lambda Authorizers. We focus on three key performance parameters: cold start behaviour, programming language runtimes, and authorization types (e.g., token-based, claim-based). By employing load testing with Artillery, the tool measures the impact of these factors on authorization processing speed and resource consumption. The findings from the benchmarking experiments offer valuable insights for developers building secure and cost-effective serverless APIs with Lambda Authorizers. The tool empowers and developers to make informed decisions regarding programming language selection, authorization strategy, and optimization techniques for their serverless applications.
PEBSA: Predicting Economic Behavior via Sentiment Analysis
Authors: Nagarajan Vignesh , Mittal Aarav
Published: December 2024

PEBSA is a machine learning (ML) model that aims to analyze public sentiment towards America's economic performance and predict its future behavior. By collecting public comments and posts from several social media platforms, sentiment analysis techniques will be applied to classify comments based on positive or negative outlooks. The ML model will then incorporate macroeconomic reasoning to forecast future economic behavior. The project will focus on fair and unbiased testing by employing scientific sampling techniques during data collection processes. The outcomes of this research will provide valuable insights for policymakers, businesses, and investors, facilitating informed decision-making in the realm of economic performance analysis.
Optimizing Cloud Architecture for Scalable Data Analytics and Advanced Data Science Capabilities
Authors: Natarajan Loganandh
Published: December 2024

The relatively short timeframe of the data-oriented approach has made cloud architecture the basis for flexible and effective data analysis and data science projects. This paper presents the design strategies and considerations of cloud architectures for data science platforms that compliments modern analytics and machine learning workloads. Sub-processes like data acquisition, management, analysis, and coordination are discussed, as well as their part in supporting moment and science driven decision-making. Responsiveness is given on the use of tools and platforms that are built natively on cloud to help in getting better collaboration, better costs and high performance. Security and compliance issues are discussed in order to create a viable base for the protection of potentially private and confidential information in risky business sectors. Also, there are emerging trends like edge computing and AI analytics that describe in detail what may be expected in cloud computing for data science in the future. In the framework of this paper, the best practices and case examples serve as recommendations for developing and improving cloud architecture for innovative data capabilities within an organization.
QĪMATU ḤUBBIL WAṬAN FĪ SYI’RI “LIBYA JINĀḤU AL-‘URŪBBAH” LI ‘ALI ṢIDQĪ ‘ABDUL QĀDIR
Authors: An Shori Alam , Fitriani Laily , Hasaniyah Nur
Published: December 2024

Research on Arabic literature in Libya, especially on literature in the nationalist genre, is important to study to examine the correlation between the values of nationalism or what is commonly referred to as Pan Arabism, which Muammar Gaddafi championed, and the Libyan Arabic poetry that developed at that time. Researchers are interested in analyzing the value of love for one's country in the poem "LIBYA JINĀḤU AL-'URŪBBAH" by Ali Sidqi Abdul Qadir. In analyzing the research object, the researcher used a qualitative approach with data collection techniques in the form of reading techniques and note-taking techniques. The researcher then analyzed the data that had been recorded using Norman Fairclough's critical discourse analysis. The findings in this research are that there is a fairly strong value of love for one's homeland from the author of poetry as well as a call to love the country which is none other than Libya as the homeland of the Libyan people. The conclusion of this research is that the values and propaganda of love for the country were found in the poem after the poem was analyzed in terms of text, discourse practice, and sociocultural practice.
THE LITERATURE OF THE ARAB DIASPORA (MAHJAR) IN EUROPE: HISTORY, CHARACTERISTICS AND MAHJAR LITERATURE
Authors: Chilwina Nadhita , Putri Firsya Aulia
Published: December 2024

The term diaspora (Mahjar) refers to Arab writers who move from their home countries to other countries by bringing Arabic literary works to be disseminated in the country's territory. Thus, diasporic Arabic literature (Mahjar) is a sign of the early stages of the development of Arabic literature in the modern century because it is the result of a mixture of two cultures, namely East and West. This research aims to trace Mahjar's history, characteristics, and literature in the European region. This research uses qualitative research with a library research method. The research data sources used in this research are secondary data sources only. The results of this study indicate that the emergence of Mahjar Arabic literature in Europe began with Napoleon's arrival in Egypt with political and pragmatic objectives in 1798, which at that time also had a vast influence on the Arab nation. The characteristics of diasporic Arabic literature (Mahjar) show that diasporic Arabic literature (Mahjar) is more decadent than classical literature and has literary themes more inclined to realism. The Mahjar literary figures in Europe include Khalil Mutran, Abbas Beydoun, Habib Abdulrab Sarori, and Osman Engin.
Current Translational Medicine Approach in Schizophrenia: MicroRNA Research
Authors: Gümüş Ceren , Bağcı Fatih Atilla , Boztepe Esra , Akdağ Emine Merve , Pirim Dilek
Published: December 2024

Schizophrenia is a common and complex psychiatric disorder with symptoms that significantly affect public health. Candidate gene studies reported that variants in genes involved in molecular processes associated with schizophrenia such as glutamatergic, dopaminergic, and GABAergic signaling pathways increase the risk of schizophrenia. Yet, the data obtained so far are incomplete for the development of new translational medicine approaches. Although the current research has promising results, it is still insufficient for the development of early diagnosis and treatment methods for schizophrenia management. Recent studies have reported that microRNAs detected in brain tissue and body fluids are differentially expressed in schizophrenia patients and control groups may be related to the etiology of schizophrenia. Although the determination of microRNA profiles associated with schizophrenia pathophysiology is very important for the development of new molecular approaches in the early diagnosis and treatment of the disease, the literature is still lacking in this field. Studies reporting schizophrenia-associated microRNAs in the existing literature have some limitations and methodological differences. In this review, we extracted the studies investigating the relationship between schizophrenia and microRNA in the last ten years and it was revealed that sample selection and microRNA detection methods are very important in terms of obtaining consistent results. Non-invasive detection of microRNAs expressed in the brain may have promising results for schizophrenia management. In this context, after a comprehensive literature search, miR-124-3p, miR-16-5p, and miR-34a-5p, which are differentially expressed in schizophrenia patients in the brain and blood, were prioritized as potential epigenetic biomarkers for schizophrenia. Our study provides data that can be utilized for translational medicine approaches to alleviate the burden of the disease in the community.
Effects of Social Support on the Mental Health of Incarcerated Individuals
Authors: Gün Zübeyit
Published: December 2024

The conceptualization and measurement of social support are challenging mostly due to the scope and multi-dimensionality of the construct. Despite this hardship, it is deemed an important field of research in response to its positive psychological outcomes and success in the prevention and alleviation of the negative impact of challenging life conditions. As harborers of such conditions, prisons add to the need for social support while limiting social support by their very definition. Balancing this conundrum, or at least reducing the impact of the negative conditions of prisons, is of utmost importance to protect, improve, and maintain the mental health of incarcerated individuals who are already at a disadvantage in terms of their mental health. Efforts in pursuit of such a goal may contribute to the mitigation of the negative effects of criminal behaviors on both the individual and society. Thus, this paper reviews research on the relationship between social support and the mental health of incarcerated individuals to further the current discourse and contribute to future research and interventions. To achieve this, different views on the definition and conceptualization of social support were analyzed to light the way for the approaches that might be adopted in future research, followed by the gathering of research on the relationship between mental health and social support. Then, the manifestation of this relationship in traumatic experiences was discussed followed by digging deeper into its implication in incarceration. Finally, suggestions were offered to obtain positive outcomes both for individuals and for society.
Individualized Psychotherapy: A Review
Authors: Uzun Nur Başakhan , Yorulmaz Orçun
Published: December 2024

Although clinical psychology practitioners have to tailor their practice to their clients when conducting psychotherapy with clients, there is little empirically supported basis for doing so. For some time now, questions have been asked in clinical psychology about which psychotherapy is effective. These questions have accelerated studies focusing on various psychotherapy approaches that are examined whether they are effective for different psychological disorders. However, it is seen that the client side is missing in these studies. With the emergence of the evidence-based practice approach, an increasing number of studies in recent years have focused on the adaptation of psychotherapy practices according to client characteristics in the context of the "individualized psychotherapy" approach. Although this adaptation starts with pre-treatment decision-making, it also includes the selection and sequencing of techniques and the continuation of adaptations according to changes during the therapy process. In addition, the frequency of sessions in the therapy process, how and when to terminate psychotherapy are also important points in presenting psychotherapy specific to the client. In this literature review, various approaches and methods are presented on how to perform personalization at these important points and suggestions are made for future studies.
Laporan Kasus: Cystitis dan Urolitiasis disertai Endapan Struvite dan Kalsium Oksalat pada Kucing Persia Jantan
Authors: Permatasari Dita , Batan I Wayan , Putriningsih Putu Ayu Sisyawati
Published: December 2024

Cystitisdan urolitiasisadalah salah satu penyakit gangguan perkemihan yang sering kali menyerangkucing.Penyakit ini merupakan peradangan yang terjadi pada vesika urinaria dan suatu keadaanditemukannya urolit atau endapankristal di dalam sistem urinaria. Tulisan inidibuat untuk melaporkanadanya kasus cystititisdan urolitiasis pada kucing persia dengandua jenis batu yaitu struvitedan kalsium oksalat. Kucing kasus pada laporan ini berjenis kelamin jantan, berumur dua tahun dengan bobot badan 3,73kgdiperiksadiLaboratorium Ilmu Penyakit Dalam Veteriner,FakultasKedokteranHewan,UniversitasUdayana.Hasil pemeriksaan fisik, kucinglebih suka berbaring dikandang dan saat urinasi ditemukan urinbercampur dengan darah.Pemeriksaan penunjang yang dilakukan berupapemeriksaan laboratorium diantaranyapemeriksaandarah, pemeriksaan ultrasonografi (USG), dan sedimentasi urin. Pada hasil USG menunjukkanadanya endapankristal pada vesika urinaria, hasil pemeriksaan sedimen urinmenunjukan adanya partikel-partikel kristalmagnesiumammoniumfosfat(struvite)dankalsium oksalat.Kucingdidiagnosismengalamicystitisdan urolitiasisdenganprognosisfausta.Penanganan awalyangdiberikanyaitupemasangankateter,injeksiantibiotikciprofloxacin, injeksi antiradang asam tolfenamatsecara subkutan(SC), serta diberikan terapi suportif obatherbalkejibelingperoral.Perubahansetelahditerapiselamatujuhharikucingmenunjukkanurinasimulailancardan warnaurinkembalinormal berwarnakuningtanpadisertai hematuria