bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship between Peripheral Blood miR-181c, miR-101, and Cognitive Impairment in Patients with Diabetes Mellitus Complicated with Acute Stroke
Authors: Shu Mengxian , Xiang Chunhui
Published: October 2022

Objectives. To explore the relationship between peripheral blood microRNA-181c (miR-181c), microRNA-101 (miR-101), and cognitive impairment (CI) in patients with diabetes mellitus (DM) complicated with acute stroke (AS). Methods. A retrospective analysis was performed on 70 patients with DM complicated with AS admitted to the hospital between January 2019 and December 2021. According to presence or absence of CI, they were divided into CI group (41 cases) and non-CI group (29 cases). The clinical characteristics and general data (blood glucose and blood lipid) of patients were statistically analyzed. The relative expression levels of miR-181c and miR-101 in peripheral blood were detected by real-time fluorescence quantitative PCR. The risk factors of CI were analyzed by logistic regression analysis. The diagnostic value of peripheral blood miR-181c and miR-101 for CI was evaluated by receiver operating characteristic (ROC) curves. Results. The relative expression levels of peripheral blood miR-181c and miR-101 in the CI group were lower than those in the non-CI group (

P
<
0.05

). The occurrence of CI was related to age, course of DM, AS location, time from onset to admission, HbA1c, TG, UA, and Hcy levels (

P
<
0.05

). Logistic regression analysis showed that age, AS location, HbA1c, miR-181c, and miR-101 were related influencing factors of CI in patients with DM complicated with AS (

P
<
0.05

). The results of ROC curves analysis showed that AUC, sensitivity, and specificity of miR-181c combined with miR-101 for predicting CI were 0.865, 73.17%, and 89.66%, respectively (

P
<
0.05

). Conclusions. The peripheral blood miR-181c and miR-101 are low expressed in patients with DM complicated with AS, and advanced age, intracortical AS lesions, increased HbA1c, and low expression of miR-181c and miR-101 are all independent risk factors for CI in patients with DM complicated with AS. Besides, the combined detection of miR-181c and miR-101 expression has a good diagnostic value for CI.
Relationship between PLR and Clinicopathological Characteristics of Patients with Advanced NSCLC and Its Predictive Value for the Efficacy of Chemotherapy and Prognosis
Authors: Zhao Jianming , Pan Yiping , Sheng Yu , Sun Jun
Published: October 2022

Objective. To investigate the relationship between blood platelet-to-lymphocyte ratio (PLR) and clinicopathological characteristics of patients with advanced non-small cell lung cancer (NSCLC) and evaluate the value of PLR for predicting the efficacy of chemotherapy and prognosis. Methods. The clinical data of 175 patients with advanced NSCLC diagnosed from March 2017 to December 2018 in our hospital were retrospectively analyzed, and the data of 175 healthy subjects from our hospital physical examinations were included. The platelet was detected by using a blood cell analyzer to calculate PLR. According to the average PLR value (197) before chemotherapy, 175 patients were divided into the low PLR group (=78) and the high PLR group (=97). The relationship between the expression levels of PLR and clinicopathologic features was analyzed, and the Kaplan–Meier survival curve was used to analyze the relationship between the expression levels of PLR and prognosis. Results. The results showed that prechemotherapy PLR levels were significantly higher in NSCLC compared with the healthy subjects (

P
<
0.05

). After 4 cycles of chemotherapy, the PLR levels were significantly lower than those during prechemotherapy (

P
<
0.05

). The proportion of TNM (IV) stage cases in the low PLR group was lower than that in the high PLR group (

P
<
0.05

). The total effective rate of the first-line chemotherapy was 46.9% (82/175). The effective rate of IIIb staging was higher than that in IV staging (

P
<
0.05

), and the effective rate of the low PLR group was higher than that in the high PLR group (

P
<
0.05

). Multivariate logistic analysis showed that TNM stage 4 and high PLR level were the independent risk factors for the efficacy of the first-line chemotherapy in patients with advanced NSCLC (

P
<
0.05

), and the high PLR level was an independent risk factor affecting the prognosis of patients with advanced NSCLC. The median overall survival (OS) of patients with the low PLR group was 20.8 months, higher than the 12.0 months of patients with the high PLR group (

P
<
0.05

). Conclusion. PLR might have a certain clinical significance for predicting the TNM staging of NSCLC and can provide important diagnostic and prognostic results for patients.
The Drosha-Independent MicroRNA6778-5p/GSK3β Axis Mediates the Proliferation of Gastric Cancer Cells
Authors: Ren Mingjun , Xing Li , Wang Wanping , Bi Wanying , Wu Wanjun , Jiang Gui , Wang Weiji , Liang Xingdong , Liu Manran , Tang Shifu
Published: October 2022

Background. Gastric cancer (GC) is a primary cause of cancer death around the world. Previous studies have found that Drosha plays a significant role in the development of tumor cells. Soon after, we unexpectedly found that the expression of microRNA6778-5p (miR6778-5p) is unconventionally high in the gastric cancer cells low-expressing Drosha. So, we designed the Drosha interference sequence and recombined it into a lentiviral vector to construct Drosha knockdown lentivirus and transfected the Drosha knockdown lentivirus into gastric cancer cells to establish Drosha knockdown gastric cancer cell lines. We aimed to explore the effect of microRNA6778-5p on the proliferation of gastric cancer cells with Drosha knockdown and its intrinsic mechanism. Methods. We designed the Drosha interference sequence and recombined it into a lentiviral vector to construct Drosha knockdown lentivirus and transfected the Drosha knockdown lentivirus into gastric cancer cells to establish Drosha knockdown gastric cancer cell lines. After transfecting miR6778-5p mimics and inhibitor into gastric cancer cell lines with Drosha knockdown, the expression levels of miR6778-5p mimics in Drosha low-expressing gastric cancer cells increased, while miR6778-5p inhibitor decreased the expression levels of miR6778-5p. The Cell Counting Kit-8 (CCK-8) experiment was used to detect the proliferation ability of gastric cancer cells after overexpression or knockdown of miR6778-5p and bioinformatics predicted the relationship between miR6778-5p and glycogen synthase kinase-3β (GSK3β). Results. After infection with the Drosha knockdown lentivirus, Drosha’s mRNA and protein levels were significantly downregulated in gastric cancer cells. The expression levels of miR6778-5p mimics in Drosha low-expressing gastric cancer cells increased, while miR6778-5p inhibitor decreased the expression levels of miR6778-5p. Overexpression of miR6778-5p significantly enhanced the proliferation ability of Drosha low-expression gastric cancer cells; on the contrary, knocking down miR6778-5p weakened the proliferation ability of Drosha low-expression gastric cancer cells. Bioinformatics predicted that miR6778-5p targeted glycogen synthase kinase-3β (GSK3β) and the mRNA and protein levels of GSK3β decreased significantly after overexpression of miR6778-5p. Conclusion. miR6778-5p promotes the proliferation of Drosha low-expressing gastric cancer cells by targeting GSK3β.
Probe into the Low‐Carbon Economic Environment Challenges and Opportunities of Textile and Garment Export
Authors: Chang Ronghua , Zhu Shaoying
Published: October 2022

Ecological and environmental protection is the main problem of China’s economic construction. As one of the high‐energy‐consuming industries, the traditional textile printing and dyeing industry has led to great concern from all walks of life in the context of the country’s in‐depth promotion of energy conservation and consumption reduction. The comprehensive development of a low‐carbon economy is the fundamental guarantee for China to solve the problem of climate warming and complete the sustainable development of economic development. The traditional textile printing and dyeing industry should also change its development mode to meet the standards of low‐carbon economy. Here, the connotation of low‐carbon economy and the significance of promoting the low‐carbon economic reform of the textile printing and dyeing industry are described, and the current situation and development trend of the low‐carbon economy of China’s textile printing and dyeing industry is deeply analyzed. Taking the basic theory of garment trade and low‐carbon economy as the carrier, the application of low‐carbon development mode in China’s textile and garment export business process is expounded. According to the fundamental goal of sustainable development of low‐carbon economy and related objectives, the adverse impact on the domestic textile and apparel export business process was discussed and eliminated from three aspects: improve the relevant legal system, enhance the development of new energy, and enhance the importance of enterprises in the relevant whole industry chain.
[Retracted] Observation of Curative Effect of Trimetazidine Combined with Metoprolol in Elderly Patients with Coronary Heart Disease Complicated with Heart Failure and the Effect of Myocardial Remodeling by Integrated Traditional Chinese and Western Medicine
Authors: Lu Yingyi , Wang Fenglian , Ni Haoxuan , Sun Ying , Shi Hailing
Published: October 2022

Diabetic retinopathy (DR) is the most common complication of diabetes and is often characterized by damage to retinal vascular microcirculation, resulting in retinal exudation, hemorrhage, fibrosis, and neovascularization. With the aging of my country’s population, the incidence of DR is increasing year by year, and it has become one of the main blinding eye diseases in ophthalmic diseases also tends to be younger. So far, although the pathogenesis of DR is not completely clear, scholars generally believe that DR is based on the disorder of glucose metabolism, causing changes in the microcirculation of ocular tissues, nerves, and blood vessels, resulting in chronic damage to the nutrition and visual function of the eye disease. In order to explore the demand for cardiovascular disease treatment, make up for the lack of chronic diseases affecting people’s physical harm, and improve the success rate of cardiovascular disease treatment, a method to observe the efficacy and myocardial remodeling of trimetazidine combined with metoprolol in elderly patients with coronary heart disease and heart failure based on integrated traditional Chinese and Western medicine was proposed. 54 elderly people over 60 years old are afraid of cardiovascular disease and take active protection. A method based on observation of integrated traditional Chinese and Western medicine was proposed, and at the same time, an intelligent medical monitoring system was constructed to better study, observe, and improve the efficacy of trimetazidine combined with metoprolol in elderly patients with coronary heart disease, heart failure, and myocardial impact of refactoring. The results of the study show that trimetazidine has a good clinical effect on ischemic cardiomyopathy heart failure based on the observation of integrated traditional Chinese and Western medicine.
The Neuroprotective Potential of Endophytic Fungi and Proposed Molecular Mechanism: A Current Update
Authors: Semwal Prabhakar , Painuli Sakshi , Anand Jigisha , Martins Natália Cruz , Machado Marisa , Sharma Rohit , Batiha Gaber El-Saber , Yaro Clement Amen , Lorenzo Jose M. , Rahman Md. Mominur
Published: October 2022

Millions of people are affected by neuronal disorders that are emerging as a principal cause of death after cancer. Alzheimer’s disease, ataxia, Parkinson’s disease, multiple system atrophy, and autism comprise the most common ones, being accompanied by loss of cognitive power, impaired balance, and movement. In past decades, natural polyphenols obtained from different sources including bacteria, fungi, and plants have been utilized in the traditional system of medicine for the treatment of several ailments. Endophytes are one such natural producer of secondary metabolites, namely, polyphenols, which exhibit strong abilities to assist in the management of such affections, through modifying multiple therapeutic targets and weaken their complex physiology. Limited research has been conducted in detail on bioactive compounds present in the endophytic fungi and their neuroprotective effects. Therefore, this review aims to provide an update on scientific evidences related to the pharmacological and clinical potential along with proposed molecular mechanism of action of endophytes for neuronal protection.
Construction of Prognostic Risk Model for Small Cell Lung Cancer Based on Immune-Related Genes
Authors: Deng Feng , Tao Feng , Xu Zhili , Zhou Jun , Gong Xiaowei , Zhang Ruhu
Published: October 2022

Small cell lung cancer (SCLC) is a highly invasive and fatal malignancy. Research at the present stage implied that the expression of immune-related genes is associated with the prognosis in SCLC. Accordingly, it is essential to explore effective immune-related molecular markers to judge prognosis and treat SCLC. Our research obtained SCLC dataset from Gene Expression Omnibus (GEO) and subjected mRNAs in it to differential expression analysis. Differentially expressed mRNAs (DEmRNAs) were intersected with immune-related genes to yield immune-related differentially expressed genes (DEGs). The functions of these DEGs were revealed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Thereafter, we categorized 3 subtypes of immune-related DEGs via K-means clustering. Kaplan-Meier curves analyzed the effects of 3 subtypes on SCLC patients’ survival. Single-sample gene set enrichment analysis (ssGSEA) and ESTIMATE validated that the activation of different immune gene subtypes differed significantly. Finally, an immune-related-7-gene assessment model was constructed by univariate-Lasso-multiple Cox regression analyses. Riskscores, Kaplan-Meier curves, receiver operating characteristic (ROC) curves, and independent prognostic analyses validated the prognostic value of the immune-related-7-gene assessment model. As suggested by GSEA, there was a prominent difference in cytokine-related pathways between high- and low-risk groups. As the analysis went further, we discovered a statistically significant difference in the expression of human leukocyte antigen (HLA) proteins and costimulatory molecules expressed on the surface of CD274, CD152, and T lymphocytes in different groups. In a word, we started with immune-related genes to construct the prognostic model for SCLC, which could effectively evaluate the clinical outcomes and offer guidance for the treatment and prognosis of SCLC patients.
Crocus sativus L. Stigmas, Tepals, and Leaves Ameliorate Gentamicin-Induced Renal Toxicity: A Biochemical and Histopathological Study
Authors: Ouahhoud Sabir , Bencheikh Noureddine , Khoulati Amine , Kadda Salma , Mamri Samira , Ziani Anas , Baddaoui Sanae , Eddabbeh Fatima-Ezzahra , Elassri Soufiane , Lahmass Iliass , Benabbes Redouane , Addi Mohamed , Hano Christophe , Choukri Mohammed , Bennani Amal , Asehraou Abdeslam , Saalaoui Ennouamane
Published: October 2022

The most costly spice in the world, Crocus sativus L. (C. sativus), has been used for more than 3,000 years. It has various beneficial applications in a range of fields, including aromas, colorants, and medications, but its usefulness as a food flavoring and coloring ingredient is the highest. Large quantities of by-products from the processing of saffron are typically thrown as unwanted bio-residues. This study’s goal was to assess and compare the nephroprotective effects of hydroethanolic extracts of C. sativus stigmas, tepals, and leaves on gentamicin (GM)-induced nephrotoxicity in rats. For that, we used a biochemical and histological investigation to propose new pharmaceutical valorizations. Based on the biochemical and histological analyses, it is concluded that all the studied parts of C sativus showed a renoprotective effect. Markedly, tepals revealed the most significant reduction of relative liver weight

p
<
0.05

, water intake

p
<
0.05

, plasma creatinine

p
<
0.01

, plasma urea

p
<
0.01

, plasma uric acid

p
<
0.05

, urinary protein

p
<
0.01

and albumin

p
<
0.001

, and renal malondialdehyde (MDA)

p
<
0.001

. In addition, C. sativus tepals caused a significant increase in body weight

p
<
0.05

, urinary creatinine

p
<
0.01

, creatinine clearance

p
<
0.05

, and urinary urea

p
<
0.05

compared with the gentamicin untreated (GM) group. This is confirmed by the histopathological study which shows that treatment with stigmas, tepals, and leaves preserved kidney morphology at the glomerular and tubular cell level. The studied extracts exhibit good recovery potential for nephrotoxicity induced by gentamicin. In order to create potent dietary supplements or phytomedicines, it would also be very interesting to confirm these actions through clinical research.
Application Analysis of Artificial Intelligence Algorithms in Image Processing
Authors: Feng Lei
Published: October 2022

Due to the rapid development of information, the image recognition method based on the artificial intelligence algorithm has been applied to many application fields. As the product of modern information technology, the image recognition method based on the artificial intelligence algorithm is also a significant and pioneering research topic. With the development of digital image processing technology and the updating of computer electronic products, digital image processing technology has been applied to various fields and has made great contributions to the progress of science and technology and the development of productivity. Image processing methods cover a wide range of application fields, including image conversion, restoration, separation, enhancement and matching, and classification. In order to explore the application of the AI algorithm in image processing, on the basis of the latest BAS algorithm discovered recently, we have established a brand-new hybrid intelligent algorithm BAS based on C as computing, which is applied to multiple image processing fields and achieves good optimization results. Studying the problems and future development directions in the application is conducive to promoting such development of image recognition technology and is conducive to applying image recognition technology to more fields.
Consequence of Double‐Diffusion Convection and Partial Slip on Magneto‐Oldroyd‐4 Constants Nanofluids with Peristaltic Propulsion in an Asymmetric Channel
Authors: Athar Maria , Khan Yasir , Akram Safia , Saeed Khalid , Alameer A. , Hussain Anwar
Published: October 2022

The double‐diffusive convection is a significant physical phenomenon that arises in fluid mechanics. It is primarily associated with a convection process in which two dissimilar density gradients with varying diffusion rates are considered. The primary goal of this study is to investigate the effects of double‐diffusivity convection and partial slip with an inclined magnetic field on peristaltic propulsion in an asymmetric channel for Oldroyd‐4 constants nanofluids. The flow of an Oldroyd‐4 constant nanofluid is mathematically modeled in the presence of double‐diffusivity convection and a tilted magnetic field. Lubrication methodology is applied to simplify the highly nonlinear system of partial differential equations (PDEs). The numerical scheme is used to calculate the solution of coupled nonlinear PDEs. Furthermore, the effect of changing the parameters associated with slip, thermophoresis, Brownian motion, Grashof number of nanoparticles, Hartmann number, pumping, and trapping are investigated in this article. It is noticed that the temperature rises as the Brownian motion and thermophoresis constraints increases. This is because the growth in the Brownian motion parameter indicates the increase in the kinetic energy of nanoparticles which results in warming up the nanofluid. Also, concentration falls as the Brownian motion and thermophoresis constraints increases.
[Retracted] A Grounded Theory Construction of the eSports Endogenous Drive Model
Authors: Chen Zhao , Bu Xiangui
Published: October 2022

E‐sports attracts a lot of time and energy from adolescents, making them happy to actively participate and even become addicted to the Internet. In order to reveal the mechanism of e‐sports addiction and the mechanism of action, a model of e‐sports internal drive was constructed by rooting qualitative analysis of interview data from 30 e‐sports players, and the results of the study showed that the e‐sports internal drive model consists of incentive setting (continuous incentive, variety of incentives, incentive can be redeemed, and incentive odds), task setting (can start over, flexible and free, can be completed, and specific goals), program setting (forming a team, simple interpersonal relationship, specific rules, timely feedback, fairness, simple operation, goal focus, quantified indicators, challenge difficulty, and training guidance), 3 dimensions, and 18 categories. The three dimensions are interrelated and synergistic eSports influencing factors. The establishment of this model enriches the relevant theories on the study of eSports endogamy and provides a reference basis for revealing the current social phenomenon of eSports game addiction among eSports players.
[Retracted] Digital Transformation and Firm Performance in the Context of Sustainability: Mediating Effects Based on Behavioral Integration
Authors: Tang Wei , Yang Shuili
Published: October 2022

In order to promote digital industrialization and industrial digitalization, promote the deep integration of digital technology and real economy, and enable the transformation and upgrading of traditional industries and performance improvement, the method of digital transformation and enterprise performance under the sustainable background based on the mediation effect of behavior integration is proposed. This article adopts the case study method, takes Group A as the research object, and excavates the internal and external motivation and transformation path of Group A’s digital transformation by combining the theories of organizational change, process reengineering and enterprise life cycle. Combined with the relevant indicators of four dimensions of balanced scorecard, this article deeply studies the impact of digital transformation on the performance of Group A and its internal mechanism. The experimental results show that compared with Group A before digital transformation, the growth rate of gross margin in 2013 was significantly accelerated, and it has always been in a state of stable growth. However, it fell in 2017, when the year‐on‐year growth rate of the company’s total operating revenue and costs was more than 50%, but the actual growth rate of operating expenses was about 5% higher than that of operating revenue. The comprehensive score of Group A’s financial performance in 2012 was very low, which did not achieve the desired effect either in terms of growth ability or business strength. In such a situation, Company A began to implement digital transformation, the overall IT system was to carry out a comprehensive reconstruction in the inventory management mode to implement a new model of “sales to production”. By 2013, the financial performance composite score had increased significantly. The comprehensive score of Group A’s financial performance in 2012 was very low, which did not achieve the desired effect either in terms of growth ability or business strength. Under such circumstances, Company A began to implement digital transformation, and the overall IT system was comprehensively reconstructed. In the inventory management mode, the new mode of “sales to production” was implemented. By 2013, the financial performance composite score had increased significantly. Conclusion. Digital transformation drives the performance improvement of Group A. From the financial perspective, digital transformation has improved the profitability and operation capacity of Group A.
TFPPASV: A Three-Factor Privacy Preserving Authentication Scheme for VANETs
Authors: Duan Zongtao , Mahmood Jabar , Yang Yun , Berwo Michael Abebe , Yassin Abd al Kader Ahmed , Mumtaz Bhutta Muhammad Nasir , Chaudhry Shehzad Ashraf
Published: October 2022

A vehicular ad hoc network (VANET) is essential for the autonomous vehicle industry, and with the advancement in VANET technology, security threats are increasing rapidly. Mitigation of these threats needs an intelligent security protocol that provides unbreakable security. In recent times, various three-factor authentication solutions for VANET were introduced that adopt the centralized Trusted Authority

T
A

, which is responsible for assigning authentication parameters during vehicle registration, and the authentication process depends on these parameters. This article first explains the vulnerabilities of the recent three-factor (3F) authentication scheme presented by Xu et al. Our analysis proves that if an

RSU

is dishonest, it can easily bypass the

T
A

and can create a session with

OBU

. Furthermore, this paper puts forward a new scheme that provides the 3F authentication for VANETs (TFPPASV) to resist

RSU

from bypassing the

T
A

and to offer user privacy. The proposed scheme fulfills the security and performance requirements of the VANET. We use BAN-Logic analysis to perform a formal security analysis of the proposed scheme, in addition to the informal security feature discussion. Finally, we compare the security and performance of the proposed TFPPASV with some recent and related schemes.
A Systematic Educational-Based Review of Stories and Poems: Seeking the Voice of Young Women in Charlotte Smith’s and Anna Barbauld’s Major Works—Are There Any Implications for Educational Context?
Authors: Farhangi Fariba
Published: October 2022

Many researchers with an interest in the field of teaching have attempted to implement story reading and storytelling strategies in teaching oral language skills to EFL/ESL language learners as a means of extending the positive effects of storytelling and poetry on first language acquisition to second language acquisition. Numerous studies have looked at how narrative and poetry affect language abilities, but few have tried to find educational applications in well-known works of literature. To address the gap, this study was carried out to seek the voice of young women in Charlotte Smith’s and Anna Barbauld’s major works and tried to extract implications for the educational context. Charlotte Smith and Anna Barbauld, two eighteenth-century women authors, found themselves working within a literary tradition that saw Milton and Shakespeare and the poet as masculine traditions and which portrayed women as a muse for male poets. They published their works during the start of the influential Romantic Movement, which demanded an independent personality and many volumes of poetry and affected both the leading male and female writers of the day. Smith and Barbauld developed an authoritative persona to help them negotiate between societal expectations of women and those of a writer during a time when women writers were persecuted for expressing any ideas that might upset the status quo. In doing so, they challenged preconceived notions about what constitutes an authoritative voice and developed feminine poetics. This paper examines how the two poets explore the female voice, studies the challenges and problems they faced as women writers, and ponders on their influence on English literature. Additionally, this study explores how the novels of Charlotte Smith and Anna Barbauld were modified to more organically reflect aesthetic political concerns on the other side of the English Channel. This study has multiple pedagogical implications for educational environments.
[Retracted] Deconstruction of Risk Prediction of Ischemic Cardiovascular and Cerebrovascular Diseases Based on Deep Learning
Authors: Xu Yan , Meng Lingwei
Published: October 2022

Over the years, with the widespread use of computer technology and the dramatic increase in electronic medical data, data‐driven approaches to medical data analysis have emerged. However, the analysis of medical data remains challenging due to the mixed nature of the data, the incompleteness of many records, and the high level of noise. This paper proposes an improved neural network DBN‐LSTM that combines a deep belief network (DBN) with a long short‐term memory (LSTM) network. The subset of feature attributes processed by CFS‐EGA is used for training, and the optimal selection test of the number of hidden layers is performed on the upper DBN in the process of training DBN‐LSTM. At the same time, the validation set is combined to determine the hyperparameters of the LSTM. Construct the DNN, CNN, and long short‐term memory (LSTM) network for comparative analysis with DBN‐LSTM. Use the classification method to compare the average of the final results of the two experiments. The results show that the prediction accuracy of DBN‐LSTM for cardiovascular and cerebrovascular diseases reaches 95.61%, which is higher than the three traditional neural networks.
Effect of Antioxidant-Rich Moringa Leaves on Quality and Functional Properties of Strawberry Juice
Authors: Arif Muhammad Adnan , Inam-ur-Raheem Muhammad , Khalid Waseem , Lima Clara Mariana Gonçalves , Jha Ravi Prakash , Khalid Muhammad Zubair , Santana Renata Ferreira , Sharma Rohit , Alhasaniah Abdulaziz Hassan , Emran Talha Bin
Published: October 2022

Moringa oleifera and strawberry are cultivated extensively worldwide and are divinely blessed with an enormous amount of nutritional and medicinal constituents, such as vitamin C, vitamin E, iron, potassium, and phenolic antioxidants that play a pivotal role in treating, confining, and preventing diabetes and many kinds of cancer. The focus of the study is to develop different samples of highly acceptable ready to serve (RTS) Moringa strawberry juice blend by underutilizing Moringa and strawberry juice in different proportions. Moringa oleifera’s bitter taste and green color steeply limits its acceptability and counter this drawback utilized with strawberry juice. The physicochemical analysis of blended juice was performed to investigate the suitability and keeping quality of the juice mixture. The collected data signify that pH titratable acidity (TA) and total soluble solids (TSS) the slight modification after the inclusion of Moringa juice extract and throughout the storage. The Moringa treatment positively improved the total phenolic content (TPC), antioxidant, and vitamin C from 12 to 49.17 mg GAE/100g, 61.41 to 87.69%, and 64.03 to 86.65 mg/100 mL, respectively, but there was a slight decline in antioxidant quantity while stored under refrigerated conditions for one month. An assimilative trend was noticed in TPC and vitamin C, which collapsed from 49.17–36.32 mg GAE to 86.65–79.19 mg, respectively. In accordance with sensory analysis T2 (90% strawberry juice and 10% Moringa extract), the juice blend was rated best in context to flavor, color, and taste. This juice blend proved to be greatly effective especially for children suffering from malnutrition as well as women to counter with its appreciable number of nutritional constituents.
Applying Grey Relational Analysis to Detect Change Points in Time Series
Authors: Hu Yi-Chung , Chiang Shu-hen , Chiu Yu-Jing
Published: October 2022

The goal of detecting change points is to recognize abrupt changes in time series data. This is suitable, for instance, to find events that characterize the financial market or to inspect data streams of stock returns. Regression models categorized as supervised methods have played a significant role in change‐point detection. However, since change points might not be available beforehand to train the model, and because the series data might be statistically atypical, the applicability of regression models is limited. To avoid statistical assumptions, this study uses the grey theory, a kind of artificial intelligence tools, to measure the relationships between sequences by grey relational analysis (GRA). This paper contributes to propose an unsupervised method to detect possible change points in time series by GRA. Change‐point analysis of the proposed method was performed on S&P100 stock returns. Experimental results from evaluating the recognition accuracy rate show that the proposed method performs well compared to other methods considered for change‐point detection.
Intervention Methods of College Counselors on Students’ Psychological Crisis under the Background of Deep Learning
Authors: Miao Hui
Published: October 2022

In order to quantitatively evaluate the effect of college counselors’ intervention methods on students’ psychological crisis, an evaluation model of college counselors’ intervention methods on students’ psychological crisis based on the deep learning model is put forward. The learning model function of college counselors’ intervention in students’ psychological crisis is constructed. By using the joint statistical feature analysis method, the dynamic factor analysis of college counselors’ intervention in students’ psychological crisis is established, and the machine learning model of college counselors’ intervention in students’ psychological crisis is constructed. By using the methods of big data fusion and correlation dimension feature analysis, combined with a fuzzy C-means clustering algorithm, the reliability evaluation of college counselors’ intervention on students’ psychological crisis and the construction of a large database are realized. By using the deep learning model, the parameters of college counselors’ intervention model on students’ psychological crisis are optimized and analyzed, and the methods of college counselors’ intervention on students’ psychological crisis are optimized and designed. The test shows that it is reliable and expandable to use this method for college counselors’ intervention in students’ psychological crisis, and it can establish the applicable technology of knowledge network to realize the correct intervention of college counselors in students’ psychological crisis.
From Tukhmah to Wamḍah: The Literary Forum at the University of Aleppo, Its Critical Enterprise, and the New Poetics of Minimalism
Authors: Behar Daniel
Published: October 2022

This essay presents a synoptic view and a critical synthesis of the activity of the Literary Forum at the University of Aleppo (1980–1986) with the aim of putting Aleppo on the map of modern Arabic literature. Serving as an intensive laboratory for literary and meta-literary production under political duress, the Forum is situated at a confluence of global cultural currents as well as at a turning point in the history of the Arabic prose poem. The Forum members devised literary strategies for coping with the deterioration of their city’s cultures while working within both an Arabic tradition of modernity and a global space of intellectual engagement. Well into the twenty-first century, the Forum’s legacies continue to shape the moral stances of poets facing disaster at home and the precariousness of statelessness abroad, and extend into forms of civilian solidarity and collective organizing.
Byzantine Adab and Falsafah in 11th Century Antioch
Authors: Noble Samuel
Published: October 2022

Both medieval Arab historians and modern Byzantinists have generally ignored the Arabophone cultural life of Antioch during its period under Byzantine rule from 969–1084 CE, preferring to equate Christian rule with Greek culture. Nevertheless, lay intellectuals closely connected to the Melkite Patriarchate of Antioch were active in promoting the translation of Greek patristic works into Arabic during this period. This article examines the career of the deacon ʿAbd Allāh ibn al-Faḍl al-Anṭākī, whose translations, compilations, and original works evince close familiarity with contemporary intellectual trends in Baghdad and a desire to produce translations of high literary quality. Moreover, in Ibn al-Faḍl’s criticisms of local philosophers who had strayed from Christian dogma, we find further evidence for Byzantine Antioch as a center of Arabic literary and philosophical activity.
“Our Sultan Must Preserve His Religion, Just as You Preserve Your Own”: Al-Ghazzāl and the Re-Forging of Islamic Diplomacy in Eighteenth-Century Morocco
Authors: Kitlas Peter
Published: October 2022

Aḥmed al-Ghazzāl served as the Moroccan court’s diplomatic negotiator with Spain between 1766 and 1775. In this role, he communicated regularly with his Spanish counterpart, the Marqués de Grimaldi, leaving behind nearly forty official letters, an unparalleled number in the Moroccan royal archives – the Mudīriyyat al-Wathā’iq al-Malakiyya (MWM). Nevertheless, al-Ghazzāl’s career is consistently overshadowed by his abrupt dismissal from the court of Muḥammad III (r. 1757–1790). Putting into conversation al-Ghazzāl’s letters and a riḥla (travelogue) he composed, in which he describes his 1766 mission to Spain, this article reconsiders al-Ghazzāl’s role in articulating Moroccan diplomatic practice and thought through his advocacy for commensurable inter-religious diplomacy. It demonstrates that a focus on al-Ghazzāl’s Islamic conceptual frameworks and terminologies offers a way to explore non-European diplomatic practices, shedding light on a more diverse group of early modern diplomatic thinkers.
An investigation on cauda storage of sperm in hamster epididymis
Authors: Sudarshani K.A.M. , Wegiriya H.C.E.
Published: October 2022

Immature testicular sperm of mammals acquire the potential to move in a forward direction during their journey through excurrent ducts, efferent ductules and the epididymis. The present study aimed to determine the sperm storage time using the hamster cauda epididymis. Ligation of the left epididymal tubule at the junction between the distal corpus and the proximal cauda was carried out to determine the storage time. The right epididymis was left unaltered as the control. On days 3, 12, 15, 24, 28, 32, and 40 after ligation of the cauda, experiments were carried out and repeated five times. Sperm total count and mortality were determined using the haemocytometer counting method and sperm viability was assessed with the live/dead viability kit. The morphology of cauda sperm was observed by preparing sperm smears from each animal. Data were analyzed using SPSS and all values were expressed as mean ± SEM. On day 40, the total number of cauda sperms was reduced remarkably. In the experimental groups and in the control, 3–6% of sperm motility was maintained until day 40. By day 3, the percentage of live sperm was 50% and by the 40th day, it was decreased up to 10%. In the control group, the live sperm percentage was 24% by the 40th day (). By day 32, 76% of the cauda spermatozoa appeared abnormal with head defects, mid piece and neck defects and multiple defects. Findings of the present study indicate that cauda sperm storage time is more than 40 days. Motility, viability and morphology of these spermatozoa were decreased remarkably during this storage time.
Beyond Scalar Timing Theory: Integrating Neural Oscillators with Computational Accessibility in Memory
Authors: Shi Zhuanghua , Gu Bon-Mi , Glasauer Stefan , Meck Warren H.
Published: October 2022

One of the major challenges for computational models of timing and time perception is to identify a neurobiological plausible implementation that predicts various behavioral properties, including the scalar property and retrospective timing. The available timing models primarily focus on the scalar property and prospective timing, while virtually ignoring the computational accessibility. Here, we first selectively review timing models based on ramping activity, oscillatory pattern, and time cells, and discuss potential challenges for the existing models. We then propose a multifrequency oscillatory model that offers computational accessibility, which could account for a much broader range of timing features, including both retrospective and prospective timing.
The Qarāmiṭa Scare: Public Sentiment and Political Reactions
Authors: Hurvitz Nimrod
Published: October 2022

The horrific attacks of a group of militant Ismāʿīlīs called the Qarāmiṭa in 311/924–319/931 underscored the Abbasid regime’s weakness and inability to govern. However, it is precisely because the regime was so weak that the populace was forced to react — be it by fighting, escaping or demonstrating against the ruling elite. This essay examines the emotions and actions of the inhabitants of Baghdad and southern Iraq during the Qarāmiṭa attacks. It asks whether the threats and fear that the populace experienced fragmented society or united it. Although the answer is complex, it is possible to discern that in the long run the Qarāmiṭa scare caused the deterioration of Sunni and Shi’i relations.
Language-Based Syllogistic Reasoning Using Deep Neural Networks
Authors: Aghahadi Zeinab , Talebpour Alireza
Published: October 2022

Syllogism is a common form of deductive reasoning that requires precisely two premises and one conclusion. It is considered as a logical method to arrive at new information. However, there has been limited research on language-based syllogistic reasoning that is not typically used in logic textbooks. In support of this new field of study, the authors created a dataset comprised of common-sense English pair sentences and named it Avicenna. The results of the binary classification task indicate that humans recognize the syllogism with 98.16% and the Avicenna-trained model with 89.19% accuracy. The present study demonstrates that aided with special datasets, deep neural networks can understand human inference to an acceptable degree. Further, these networks can be used in designing comprehensive systems for automatic decision-making based on textual resources with near human-level accuracy.
Sensory Schema: From Sensory Contrasts to Antonyms
Authors: Raykowski Wes
Published: October 2022

The article explores sensations’ role in cognition through analyzing expressions in natural language in search of a sensory schema. I argue that if it exists, the schema originates from the universal need to differentiate between patterns by increasing contrasts, which is linguistically manifested in the practice of grading adjectives and adverbs in the context of antonyms.
Future Shocks: Automation Meets the Pandemic
Authors: Schulz Jeremy
Published: October 2022

This article surveys the effects of what can be called two confluent agents of economic and societal transformation, digitally enabled automation and the covid-19 pandemic, on the contemporary economy. Examining shifts in work, occupations, labor markets, and consumption, the article ventures some conjectures on the consequences of this confluence, particularly across developed economies. The article contends that, while long-term automation tends to disrupt jobs and occupations which involve screen-facing work and, to a lesser extent, object-facing work, person-facing work is most exposed to the reallocation shocks precipitated by the covid crisis. Where consumption is concerned, both automation and pandemic-driven shocks lead to mutually reinforcing shifts. Seen together, automation and the pandemic phenomena can be regarded as intertwined socioeconomic stressors which will likely lead to even more divergent trajectories between the winners and the losers in the new economy.
Statistical fatigue failure life of unidirectional CFRP under bending load
Authors: Miyano Yasushi , Nakada Masayuki , Morisawa Yoko
Published: October 2022

Our developed accelerated testing methodology (ATM) based on the matrix resin viscoelasticity for the failure life prediction of carbon-fiber reinforced polymers (CFRP) was applied for statistical prediction of long-term fatigue failure life under bending load for the longitudinal direction of unidirectional CFRP laminates, which is an important basic aspect of design for the durability of CFRP structures used for aircraft and other applications. First, the formulations for fatigue life prediction of FRP under cyclic loading are introduced. Second, the time-dependent and temperature-dependent viscoelasticity of matrix resin and the statistical flexural static strengths of CFRP laminates at various temperatures are introduced as the basic data of failure life prediction of CFRP laminates. Third, fatigue bending tests for CFRP laminates are performed at various load levels with various frequencies and temperatures. A master curve of non-dimensional fatigue strength versus number of cycles to failure (S-N master curve) is constructed by substituting data of the second and third steps into the formulations. Finally, the long-term fatigue strength data obtained under cyclic bending load for unidirectional CFRP laminates are compared with the long-term creep strength obtained in the previous paper.
Injection repair of CFRP using a multi-Wall carbon nanotubes-modified epoxy resin: Flexural and compression behavior
Authors: Shin Joon-Hyung , Choe Hyeon-Seok , Lee Jun-Sung , Kweon Jin-Hwe , Nam Young-Woo
Published: October 2022

This study presented the details of multi-wall carbon nanotubes (MWCNTs)-modified resin injection repair aiming to enhance the mechanical properties, considering the flexural and compression behavior. The resin injection of epoxy resin dispersed with MWCNTs (0.1, 0.3, and 0.5 wt.%) as low viscosity resin that delaminated composite structure repair was conducted using a developed vacuum-based resin injection system at 80°C with constant injection pressure. The quasi-static indentation (QSI) method with a circular window was applied to create the barely visible impact damage (BVID) in the laminate specimen and thus obtain the delamination damage with reproducibility. The flexural strength and compression after impact (CAI) test were conducted on repaired carbon fiber reinforced laminates to assess the effect of the dispersion of the MWCNTs in the epoxy resin injection approach compared to neat epoxy resin. The mechanical test results exhibited that the recovery rate was better improved in the case of the modified resin infiltration approach in laminate composites dispersed with nanoparticles. It was attributed to their more enhanced strengthening mechanisms under effective interaction in mixed interface of fiber-matrix-MWCNTs, mainly attributing to bridge connection and stronger interfacial adhesion properties.
A design of experiment study to investigate the effects of hardener concentration, stirring time, and air bubbles on the tensile strength of epoxy resin
Authors: Sritharan Ramanan , Askari Davood
Published: October 2022

Epoxy is one of the widely used polymeric resin systems in composite industries, which is a two-part resin system that requires the mixing of a hardening agent to trigger the polymerization process. The mixing ratio and pot-life are usually specified and provided by the manufacturer; however, the stirring time and the details of the mixing process were left to the fabricator to configure, based on some visual observations, which may vary from person to person. Although the mixing ratio is fixed by the resin manufacturer, errors may occur during the weighing and transfer of resin parts. The hardener concentration and stirring time are two of the most important factors that can affect the resin properties. In addition, air bubbles can be formed during the stirring process, which is inevitable. Design of experiment (DOE) is one of the widely used tools to design, control, and study the effects of multiple factors. In this research, DOE with a factorial design of 23−1 (2k−1) was used to study the effects of hardener concentration, stirring time, and air bubbles on the tensile strength of epoxy resin. Test specimens were fabricated, cut, and tested as per ASTM D638 standard (i.e., common test performed in the industry for plastics) in a randomized order and then the results were statistically analyzed using Design-Expert software. The test results showed that all three factors significantly affect the tensile strength of the epoxy, and they should be carefully optimized and used for the fabrication of composite materials with optimal properties.