bluuebunny/crossref_metadata_2025 huggingface dataset:
Temperature Dependent Dielectric and Structural Properties of (Ba1-xCax)(Zr0.1Ti0.9)O3, (0.140 ≤ x ≤ 0.160) Ceramics
Authors: Biswas Don , Sharma Prolay , Panwar N. S.
Published: March 2022

Ceramic pellets of (Ba1-xCax)(Zr1-yTiy)O3, (x = 0.140 to 0.160, y = 0.9), were prepared via solid- state reaction method followed by double sintering. Dielectric properties (ε, tan δ, and σ) of the prepared compositions were measured, in the temperature range from RT (room temperature) to 450 °C, at various frequencies (12–1000 kHz). The dielectric measurements show a single phase transition, around 100 °C, for the prepared (Ba1-xCax)(Zr1-yTiy)O3 (BCZT) compositions, in the measured temperature range. The structural variation was studied using high temperature X- ray diffraction (HT- XRD) measurements of the compositions with x = 0.150 and 0.155. The HT- XRD results were found consistent with the dielectric measurements, showing structural anomaly at around 100 °C; showing tetragonal phase, between RT and around 100 °C; and cubic phase, above 100 °C, in the measured temperature range.
Clinical Effect of Mudan Granule on Peripheral Neuritis Caused by Chronic Renal Insufficiency
Authors: Li Xinle , Zheng Huan , Zhou Zhihong , Li Zhao , Zhou Xiurong , Zheng Ming
Published: March 2022

Objective. To investigate the clinical effect of Mudan granule on peripheral neuritis caused by chronic renal insufficiency (CRI). Methods. Sixty patients with peripheral neuritis caused by CRI treated in our hospital were included from February 2018 to April 2021 in this study. The patients were arbitrarily assigned into control group and study group. The former accepted routine treatment, while the latter accepted Mudan granule treatment. The clinical efficacy, traditional Chinese medicine (TCM) clinical symptom score, nerve conduction velocity, hemorheology index, renal function index, and inflammatory factor index were compared. Results. We firstly compared the clinical efficacy: the study group was clinically cured in 22 cases, obviously effective in 5 cases, effective in 3 cases, and ineffective in 1 case, with a total effective rate of 96.67%. The control group was clinically cured in 9 cases, obviously effective in 8 cases, effective in 7 cases, and ineffective in 6 cases, with a total effective rate of 80.00%. The total effective rate of the study group was higher compared to the control group (

P
<
0.05

). Secondly, we compared the TCM clinical symptom scores; before treatment, there exhibited no significant difference (

P
>
0.05

); after treatment, the TCM clinical symptom scores decreased. The clinical symptom score of TCM in the study group was lower compared to the control group (

P
<
0.05

). Compared with the control group, the nerve conduction velocity of left MCV, right MCV, left SCV, and right SCV in the study group were remarkably higher. In terms of the hemorheological indexes, the high-shear whole blood viscosity, low-shear whole blood viscosity, and plasma viscosity in the study group were lower compared with the control group (

P
<
0.05

). Before treatment, there existed no significant difference in renal function indexes, but after treatment, the renal function indexes decreased, and the levels of serum creatinine (SCr), blood urea nitrogen (BUN), and uric acid (UA) in the study group were lower compared to the control group (

P
<
0.05

). Finally, we compared the indexes of inflammatory factors; there existed no significant difference before treatment, but after treatment, the indexes of inflammatory factors decreased in both groups, and the levels of IL-6 and CRP in the study group were lower compared to the control group (

P
<
0.05

). Conclusion. For peripheral neuritis caused by CRI, Mudan granule can remarkably promote the clinical symptoms of TCM and reduce the syndrome score of TCM; moreover, it can remarkably increase the nerve conduction velocity of median nerve and common peroneal nerve and reduce blood viscosity, which is worth popularizing and developing in clinic.
Proving Reliability of Image Processing Techniques in Digital Forensics Applications
Authors: Iqbal Saima , Khan Wilayat , Alothaim Abdulrahman , Qamar Aamir , Alhudhaif Adi , Alsubai Shtwai
Published: March 2022

Binary images have found its place in many applications, such as digital forensics involving legal documents, authentication of images, digital books, contracts, and text recognition. Modern digital forensics applications involve binary image processing as part of data hiding techniques for ownership protection, copyright control, and authentication of digital media. Whether in image forensics, health, or other fields, such transformations are often implemented in high-level languages without formal foundations. The lack of formal foundation questions the reliability of the image processing techniques and hence the forensic results loose their legal significance. Furthermore, counter-forensics can impede or mislead the forensic analysis of the digital images. To ensure that any image transformation meet high standards of safety and reliability, more rigorous methods should be applied to image processing applications. To verify the reliability of these transformations, we propose to use formal methods based on theorem proving that can fulfil high standards of safety. To formally investigate binary image processing, in this paper, a reversible formal model of the binary images is defined in the Proof Assistant Coq. Multiple image transformation methods are formalized and their reliability properties are proved. To analyse real-life RGB images, a prototype translator is developed that reads RGB images and translate them to Coq definitions. As the formal definitions and proof scripts can be validated automatically by the computer, this raises the reliability and legal significance of the image forensic applications.
Carpal Dimensions by Plain Wrist Radiography in Patients with Severe Carpal Tunnel Syndrome
Authors: Saeed-Banadaky Seyyed Houssein , Rahimian Hossein , Sobhan Mohammad Reza
Published: March 2022

In this study, we evaluated the diagnostic value of carpal dimensions in wrist plain radiography for the screening of carpal tunnel syndrome (CTS). This is a case-control diagnostic probe in which patients with severe CTS documented by electrodiagnostic study and healthy subjects as controls were enrolled. In the posteroanterior view of the wrist plain radiography in both groups, we defined and measured the carpal ratio, and the results were analyzed deploying statistical software. In this study, 119 participants, including 50 patients and 69 healthy subjects, were recruited. According to the ROC chart, the cutoff points, positive and negative predictive values, and the diagnostic accuracy for the cutoff points were calculated.
A Blockchain Consensus Optimization-Based Algorithm for Food Traceability
Authors: Liu Peng , Ren Shuang , Wang Jun , Yuan Shanshan , Nian Yiying , Li Yifan
Published: March 2022

At present, blockchain technology is more and more widely used in the field of food traceability, and good results have been achieved. However, many of the current blockchain technologies and algorithms are not developed for the specific situation of food traceability, resulting in resource waste and low computational efficiency. In view of these problems, this paper analyzes and summarizes the classic distributed consensus mechanism in blockchain technology, focusing on the PBFT (practical Byzantine fault tolerance) consensus mechanism and the existing problems related to the improvement scheme. In order to solve the problem of low efficiency of a consensus algorithm in a food traceability scenario, this paper proposes a blockchain consensus algorithm suitable for the food traceability scenario based on clustering and food credit. In addition, the differences between the improved algorithm and the classical Byzantine consensus algorithm in consensus algorithm time and communication times are analyzed through experiments and simulations. The consensus efficiency of the improved algorithm in this paper is significantly improved, which can greatly reduce the application difficulty of blockchain in food traceability.
A Critical Appraisal of the Correspondence between Students’ Attitudes towards the Use of Corrective Feedback Strategies and How They Are Implemented by Teachers in EFL Classroom Interactions
Authors: Shahidzade Farangis , Razmi Mohammad Hasan , Tilwani Shouket Ahmad
Published: March 2022

As a critical appraisal, this study investigated the correspondence between teachers’ corrective feedback strategies used in English as a foreign language (EFL) classes and students’ preferences of corrective feedback strategies by analyzing both quantitative and qualitative data. The participants were 20 high school English teachers and 50 students of Salami High school in Kazeroun. To critically compare their preferences, both the students and teachers were asked to answer approximately identical questionnaires. The CF strategies were ranked according to the students’ and teachers’ attitudes. The results of the quantitative data analysis were as follows: There was no overall significant difference in CF preference of the students and CF usage of the teachers. The CF strategies were ranked by the teachers as teachers’ elicitation followed by clarification request, repetition, recasting, and explicit correction in order. The students’ preferences were ranked differently. Clarification request was the most preferred one followed by teacher’s elicitation, repetition, recasting, and explicit correction in order. The qualitative results indicated that there were different individual justifications for their choices. This study concludes with some pedagogical implications and further suggestions for more research of corrective feedback strategies in different socio-cultural conditions.
Experimental Study on Simulation Filling of New Underwater Cementitious Filling Material (NWC‐FM)
Authors: Ruan Yanmei , Luo Xu , Lin Shan , Pei Xingkai
Published: March 2022

To solve the problem of waste slag treatment of slurry shields, a reuse scheme in which waste shield mud is used to replace traditional karst cave grouting filling material which is proposed; thus, a new type of underwater cementitious filling material (NWC‐FM) is developed. NWC‐FM is convenient, inexpensive, and environmentally friendly. Its mix proportion is designed, and its mechanical performance is tested. According to the characteristics of karst caves, a semiclosed and pressurized karst cave simulation box is designed and manufactured to simulate grouting filling processes at construction sites, and an NWC‐FM grouting simulation test is carried out. The results show that the fluidity of the NWC‐FM slurry is good, and the strengths of the samples in the three groups of designed mix proportions meet the requirements of field construction. The underwater poured NWC‐FM shows good fluidity, cohesion, nondispersibility, self‐leveling, and self‐compacting. After each pouring of NWC‐FM material, a 2∼3 cm isolation layer eventually forms on the surface due to the action of the additives, which can effectively block the contact between water and NWC‐FM and ensure the flatness of the underwater poured surface of the NWC‐FM material. The average compressive strength of the NWC‐FM consolidated core samples at 7 d, 14 d, and 28 d are 0.56 MPa, 0.72 MPa, and 0.79 MPa, respectively, meeting the technical strength requirements of construction sites. NWC‐FM has strong underwater nondispersibility and moderate strength, which can well meet the requirements of karst cave filling treatment during shield construction of urban subways. Additionally, as a low‐cost and environmentally friendly material, NWC‐FM will greatly reduce the project cost and minimize environmental pollution.
Investigation of the Physicochemical Properties of Vegetable Oils Blended with Sesame Oil and Their Oxidative Stability during Frying
Authors: Ramroudi Fereshteh , Yasini Ardakani Seyed Ali , Dehghani-tafti Arefeh , Khalili Sadrabad Elham
Published: March 2022

To investigate the antioxidant activity and physicochemical properties of oil, sunflower (SFO) and corn oil (CO) and their combinations with sesame oil (SO) were prepared. The analyses of fatty acid composition (GC-FID), oxidative stability index (Rancimat), smoke point, and antioxidant activity (DPPH) were done on oil samples. Then, the frying process in presence of potato chips was done for 3 days at 180°C. Oil samples were gathered after each frying cycle and chemical analysis (peroxide value, free fatty acid, p-anisidine value, TOTOX, total polar content, TBARS, and conjugated diene and triene) was measured. The major fatty acid composition of oil samples was linoleic acid, oleic acid, palmitic acid, and stearic acid. The OSI of oil samples was reported as

CSO
>
SSO
>
SO
>
CO
>
SFO

. The smoke point of all samples was in the standard limit. The SFO with 266.50°C had the highest smoke point. The antioxidant activity of samples was reported as

SO
>
CSO
>
CO
>
SSO
>
SFO

. The IC50 of SO was 52.17 mg/g which was higher than other samples. The result of frying indicated that prolonged heating process would increase the thermal oxidation. It was shown that oils blended with SO had good stability during deep frying. Therefore, blending oil with SO is considered as an economic approach to improve the oil oxidation stability.
Synthesis, Characteristics, and Pharmaceutical Properties of Ibuprofen-Cyclodextrin-PEG Conjugate
Authors: Huang Qing , Yan Chun Hua , Luo Sheng Xia , Li Zhi Xin , Wei Tai Bao , Wang Zhi Zhong
Published: March 2022

The NSAIDs ibuprofen was chemically conjugated to the PEG-graft-β-CyD with an ester bond and its aqueous solubility was clearly improved. The preliminary release profile of ibuprofen in rat gastrointestinal tract contents was performed at 37°C within 12 hours. The polymeric conjugate almost did not release ibuprofen in the contents of stomach, released ibuprofen only 7.4% in the contents of small intestine, and evidently released ibuprofen up to 58.7% in the contents of colon, respectively. These results demonstrated that the polymeric conjugate was site-specifically biodegraded in the rat colonic contents. On the other hand, the xylene-induced ear swelling technique, the hot plate test, and the brewer's yeast-induced hyperthermia model in mice were performed for evaluating the anti-inflammatory, analgesic, and antipyretic activities of the polymeric conjugate, respectively. The results revealed that the polymeric conjugate maintained a long and stable pharmacodynamic efficiency over a period of 24 hours. Hence, the present polymeric ibuprofen-cyclodextrin-PEG conjugate may be of value as an orally administered long-acting prodrug of ibuprofen through colon-targeting delivery.
miR-92b-3p Exerts Neuroprotective Effects on Ischemia/Reperfusion-Induced Cerebral Injury via Targeting NOX4 in a Rat Model
Authors: Huang Yongpan , Tang Jiayu , Li Xiaojuan , Long Xian , Huang Yansong , Zhang Xi
Published: March 2022

The necessity to increase the efficiency of organ preservation has pushed researchers to consider the mechanisms to minimize cerebral ischemia/reperfusion (I/R) injury. Hence, we evaluated the role of the miR-92b-3p/NOX4 pathway in cerebral I/R injury. A cerebral I/R injury model was established by blocking the left middle cerebral artery for 2 h and reperfusion for 24 h, and a hypoxia/reoxygenation (H/R) model was established. Thereafter, cerebral I/R increased obvious neurobiological function and brain injury (such as cerebral infarction, apoptosis, and cell morphology changes). In addition, we noted a significant decrease in the expression of miR-92b-3p, as well as increases in apoptosis and oxidative stress and an increase in NOX4. Furthermore, overexpression of miR-92b-3p blocked the inhibitory effect of miR-92b-3p on the expression of NOX4 and the accumulation of oxygen-free radicals. Bioinformatics analysis found that NOX4 may be the target gene regulated by miR-92b-3p. In conclusion, the involvement of the miR-92b-3p/NOX4 pathway ameliorated cerebral I/R injury through the prevention of apoptosis and oxidative stress. The miR-92b-3p/NOX4 pathway could be considered a potential therapeutic target to alleviate cerebral I/R injury.
Mitochondrial Dynamics in the Metabolic Memory of Diabetic Retinopathy
Authors: Mohammad Ghulam , Kowluru Renu A.
Published: March 2022

Mitochondria play a central role in the development of diabetic retinopathy and in the metabolic memory associated with its continued progression. Mitochondria have a regulated fusion fission process, which is essential for their homeostasis. One of the major fission proteins, dynamin-related protein 1 (Drp1), is recruited to the mitochondria by fission protein 1 (Fis1) to initiate fragmentation. Our aim is to investigate the role of Drp1 in the altered mitochondrial dynamics in the continued progression of diabetic retinopathy. Methods. Drp1 activation, mitochondrial transport, and Drp1-Fis1 interactions were analyzed in retinal endothelial cells incubated in 20 mM glucose (HG), followed by 5 mM glucose (NG), for four days each (HG-NG group). The results were confirmed in retinal microvessels from streptozotocin-induced diabetic rats with poor glycemia (>350 mg/dl blood glucose, PC group), followed by normal glycemia (~100 mg/dl), for four months each (PC-GC group). Results. GTPase activity of Drp1, Fis1-Drp1 interactions, mitochondrial levels of Drp1, and fragmentation of the mitochondria were elevated in HG group. Mitochondrial Division Inhibitor 1 (Mdiv) or Drp1-siRNA attenuated Drp1 activation, mitochondrial fragmentation, and DNA damage. In HG-NG group, NG failed to ameliorate Drp1 activation and Drp1-Fis1 interactions, and the mitochondria remained fragmented. However, Mdiv supplementation in normal glucose, which had followed four days of high glucose (HG-NG/Mdiv group), inhibited Drp1 activation, mitochondrial fragmentation, and increase in ROS and prevented mitochondrial damage. Retinal microvessels from the rats in PC and PC-GC groups had similar Drp1 activation. Conclusion. Thus, Drp1 plays a major role in mitochondrial homeostasis in diabetic retinopathy and in the metabolic memory phenomenon associated with its continued progression. Supplementation of normal glycemia with a Drp1 inhibitor could retard development and further progression of diabetic retinopathy.
A PDCA Model for Disinfection Supply Rooms in the Context of Artificial Intelligence to Reduce the Incidence of Adverse Events and Improve the Disinfection Compliance Rate
Authors: Wang Yunxia , Zhang Shuying , Chi Mingmei , Yu Junmei
Published: March 2022

As an important section for controlling hospital infection, the main responsibility of the sterilization supply room is to clean, disinfect, sterilize, store, and distribute all medical devices that need to be reused in the hospital, and the quality of its work is closely related to the normal work of the hospital. Disinfection and supply department is the premise and foundation of the hospital department, mainly responsible for the recovery, cleaning, disinfection, sterilization, storage, and distribution of medical devices. The cleaning and disinfection work is characterized by strong technicality and high requirements, and the work effect is directly related to the safety of patients' lives and the occurrence of hospital infections. Therefore, there is an urgent need for a scientific and efficient management mode to be applied to the work of the supply room. The traditional management mode has some drawbacks, which affects the actual work of the hospital. Disinfection and supply rooms are an important part of hospital infection control and an important department to ensure the quality of health care. An effective management mode can not only improve the efficiency but also the overall quality of work, and PDCA (plan-do-check action cycle) as an advanced management mode can effectively improve the quality of management. This study investigates the effect of PDCA cycle management based on artificial intelligence algorithms in the nursing management of sterile supply rooms, and the experimental results show that the algorithm model can effectively reduce the incidence of adverse events and improve the rate of sterilization standards, which has certain practical significance.
Self-Healing of Active Distribution Networks by Accurate Fault Detection, Classification, and Location
Authors: El-Tawab Sally , Mohamed Hassan S. , Refky Amr , Abdel-Aziz A. M.
Published: March 2022

The power system self-healing concept needs accurate and reliable fault detection, classification, and location (FDCL). This research proposes a novel and robust FDCL approach for distribution networks (DNs) in proportion to self-healing requirements. The proposed algorithm utilized a discrete wavelet transform (DWT) to decompose the measured current and zero sequence current component of only one terminal (substation) to detect and classify all fault types with the identification of the faulted phase (s). The fault location is achieved by integrating DWT and support vector machine (SVM). The data for training were extracted using DWT and collected, and then SVM was trained to locate the faulted section. The simplicity of the applied approach, ignoring DG’s data that is merged into the system, reduced training data and time, ability to diagnose all fault types, and high accuracy are the most significant contributions. The proposed techniques are tested on IEEE 33 bus DN with two distributed generation (DG) units, which are simulated in MATLAB. The simulation results demonstrate that the proposed methods give more accurate and reliable results for diagnosing the faults (FDCL) of various fault sorts, DN size, and resistance levels.
Research on Cost Forecasting Based on the BIM and Neural Network
Authors: Wu Yan , Wu Xiaohua , Fang Jinqiang
Published: March 2022

In enterprise or project management, cost forecasting is an important factor affecting different stages of the project process, which requires effective control and management of cost forecasting. In this paper, BIM technology is introduced into the construction project, so that the project manager can master all the information of the building through this technology, which provides a good condition for the completion of cost accounting. In this paper, a cost prediction model based on a neural network is proposed, which uses a neural network prediction model, genetic algorithm prediction model, and GM (1, 1) prediction model. Through the same design company, the monthly cumulative cost of the construction and completion of the first, second, and third floors of the residential district is predicted. The results show that the error of the neural network model is small, while the error of the genetic algorithm and GM prediction model is large and unstable, which cannot provide more accurate and stable prediction, and has no better reference value. Therefore, we can see that the neural network prediction model has a good reference value, can provide accurate and stable prediction, and can help enterprises or project managers to make cost decisions.
Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries
Authors: Talpur Sarena , Azim Fahad , Rashid Munaf , Syed Sidra Abid , Talpur Baby Alisha , Khan Saad Jawaid
Published: March 2022

Background. Dental caries is one of the major oral health problems and is increasing rapidly among people of every age (children, men, and women). Deep learning, a field of Artificial Intelligence (AI), is a growing field nowadays and is commonly used in dentistry. AI is a reliable platform to make dental care better, smoother, and time-saving for professionals. AI helps the dentistry professionals to fulfil demands of patients and to ensure quality treatment and better oral health care. AI can also help in predicting failures of clinical cases and gives reliable solutions. In this way, it helps in reducing morbidity ratio and increasing quality treatment of dental problem in population. Objectives. The main objective of this study is to conduct a systematic review of studies concerning the association between dental caries and machine learning. The objective of this study is to design according to the PICO criteria. Materials and Methods. A systematic search for randomized trials was conducted under the guidelines of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). In this study, e-search was conducted from four databases including PubMed, IEEE Xplore, Science Direct, and Google Scholar, and it involved studies from year 2008 to 2022. Result. This study fetched a total of 133 articles, from which twelve are selected for this systematic review. We analyzed different types of machine learning algorithms from which deep learning is widely used with dental caries images dataset. Neural Network Backpropagation algorithm, one of the deep learning algorithms, gives a maximum accuracy of 99%. Conclusion. In this systematic review, we concluded how deep learning has been applied to the images of teeth to diagnose the detection of dental caries with its three types (proximal, occlusal, and root caries). Considering our findings, further well-designed studies are needed to demonstrate the diagnosis of further types of dental caries that are based on progression (chronic, acute, and arrested), which tells us about the severity of caries, virginity of lesion, and extent of caries. Apart from dental caries, AI in the future will emerge as supreme technology to detect other diseases of oral region combinedly and comprehensively because AI will easily analyze big datasets that contain multiple records.
Reduction of Activin Receptor-Like Kinase 4 Expression Ameliorates Myocardial Ischemia/Reperfusion Injury through Inhibiting TGFβ Signaling Pathway
Authors: Chen Mantian , Sun Yinggang , Wang Qian , Li Yigang
Published: March 2022

The activation of activin receptor-like kinase 4 (ALK4) signaling plays a pivotal role in the pressure-overloaded heart, and haplodeficiency of ALK4 can alleviate cardiac fibrosis secondary to myocardial infarction and preserve cardiac function through partially inactivating the Smad3/4 pathway. However, whether transforming growth factor (TGF) β signaling is involved in the beneficial effects of ALK4 knockdown on the ischemic heart is still unclear. This study was undertaken to investigate the change in the TGFβ signaling after ALK4 knockdown in vivo and in vitro. Forty C57BL/6J mice were randomized into ALK4+/- ischemia/reperfusion (I/R) group (ALK4+/-+I/R,

n
=
10

), ALK4+/- sham group (ALK4+/-+sham,

n
=
10

), wild-type sham group (WT+sham,

n
=
10

), and WT I/R group (WT+I/R,

n
=
10

). Heart histology and the levels of cytokines related to antioxidant and inflammation, as well as protein and mRNA expressions of molecules associated with TGFβ pathway, were examined in different groups. Our results showed that the reduction of ALK4 expression ameliorated myocardial I/R injury through inhibiting TGFβ signaling pathway. Our findings indicate that ALK4 may become a novel target for the therapy of myocardial I/R injury.
Effects from Oral Administration of Recombinant Interferon-Alpha on Piglet Daily Care
Authors: Dai Fawen , Liu Yanting , Zhang Meimei , Lin Tao , Chu Huashuo , Gong Ruixue , Zhao Baokai
Published: March 2022

The administration of interferon has improved the antiviral and immunomodulatory abilities of piglets, which is conductive to the prevention of potential diseases or delay the appearance of clinical symptoms. This study aimed to evaluate the effects from administration of recombinant interferon-alpha (IFN-α) on the daily care of piglets. The results were compared to a Chinese herbal drug that was shown to increase serum interferon levels. In addition, the administration routes of oral administration and intramuscular injection were evaluated. Forty (40) piglets with equal age and weight were randomly divided into four groups: control group (group C, without treatment), group H (treated with compound Chinese herbal), group K (administered orally with recombinant IFN-α, 1500 IU per day per piglet), and group J (administered intramuscularly with IFN-α, 4×106 IU per day per piglet). After the treatment of 15 days, both oral and intramuscular treatment of recombinant IFN-α significantly improved the secretion of IFN-gamma (IFN-γ) (

P
<
0.05

), and the effects of intramuscular pathway were faster. In addition, the expression levels of IFN-stimulated genes (MX1 and ISG15) were significantly enhanced (

P
<
0.01

), independently of IFN-α treatment time and serum IFN-γ level. Different from other studies, compound Chinese herbal showed weaker effects on interferon stimulation in piglets. The results indicated that oral administration of recombinant IFN-α improved interferon-induced response of piglets at both serum and molecular levels, which may be applied for improving autoimmunity of piglets.
On Coincidence Theorem in Intuitionistic Fuzzy b-Metric Spaces with Application
Authors: Kanwal Shazia , Azam Akbar , Shami Faria Ahmed
Published: March 2022

The concept of intuitionistic fuzzy b-metric spaces (shortly, IFbMS) has been introduced and studied to generalize both the notion of intuitionistic fuzzy metric spaces and fuzzy b-metric spaces. The existence of coincident point and common fixed point for two self-mappings has been established. In order to show the strength of these results, some interesting examples are established as well. Our results generalize many previous results existing in literature. Some nontrivial examples are furnished as well as an application is created to give the strength of our main result.
Self-Reported Cognitive Function in Persons with Nonneurological Chronic Diseases: A Systematic Review
Authors: Cuevas Heather , Danesh Valerie , Henneghan Ashley
Published: March 2022

Background. Globally, one in three adults has a chronic condition. Many chronic diseases that are not neurological in nature (e.g., diabetes and heart failure) are increasingly associated with cognitive symptoms. However, the instruments used to assess cognitive symptoms in those with nonneurologic chronic illness are heterogeneous, and questions remain as to how cognitive symptoms may be related to demographic and clinical outcome variables, neurocognitive test performance, and other patient-reported outcomes. In this review, we describe associations among self-reported cognitive function, cognitive performance, and additional patient-reported outcomes as well as how cognitive symptoms are measured in nonneurologic chronic illness. Method. Multiple databases (PubMed, Medline, CINAHL, PsycInfo, EMBASE, SCOPUS, the Cochrane Library, and Academic Search Complete) were searched for studies from 1990 to 2020 that provided data on self-reported cognitive symptoms in those with nonneurological chronic conditions. Initial search yielded 304 articles, of which 32 met inclusion criteria. Quality assessment was conducted using the Critical Appraisal Skills Programme. Results. Thirty-two total studies were included: twenty cross-sectional, 10 longitudinal, and 2 randomized controlled trials. The tools used to assess self-reported cognitive function in the studies were heterogeneous: 28 unique tools were used. Thirty studies examined associations among self-reported cognitive function and other patient-reported outcomes. In 19 there were significant associations. Six studies showed no significant associations between neuropsychological tests and self-reported cognitive function; another 6 studies found a significant association. Conclusion. Tools to assess cognitive symptoms were heterogeneous. In most studies, self-reported cognitive symptoms were not correlated with neuropsychological test results, but the majority of studies found a strong association between self-reported cognitive function and other patient-reported outcomes. Implications. Consensus on measuring cognitive symptoms would facilitate cross-study comparisons and facilitate scientific progress in those with nonneurological chronic conditions. Based on these results, there is a need to establish a standardized approach for self-reported cognitive function measurement in patients with nonneurologic chronic illness.
LogCAD: An Efficient and Robust Model for Log-Based Conformal Anomaly Detection
Authors: Liu Chunbo , Liang Mengmeng , Jingwen Hou  , Gu Zhaojun , Wang Zhi
Published: March 2022

Log files are usually semistructured files that record the historical operation information of systems or devices. Researchers often find anomalies by analyzing logs, so as to identify system operation faults and cyberattacks. Traditional classification-based methods, especially deep learning methods, can effectively solve the problem of static log anomaly detection. However, when addressing dynamic unstable logs caused by concept drift and noise, the performance of those methods decreased significantly, and false positives are prone to occur. Retraining model is a choice to solve the log instability problem, but this will greatly increase the computational complexity for deep learning models. The log-based conformal anomaly detection (LogCAD) builds a confidence evaluation mechanism for multiple labels, which can achieve good detection results by making collaborative decisions based on multiple weak classifiers without deep learning. Moreover, LogCAD can be easily extended to dynamic unstable logs. It incrementally updates the trained model with conformal detection results of new samples. Experimental results show that LogCAD can achieve excellent detection results for both dynamic unstable logs and static stable logs. Compared with LogRobust and other deep learning models, it has higher efficiency and wider application scope.
Protective Effect and Mechanism of Traditional Chinese Medicine on Myocardial Ischemia Reperfusion Injury
Authors: Liu Kuo , Liu Demin , Cui Wei
Published: March 2022

After acute myocardial infarction, early restoration of myocardial perfusion by thrombolysis or percutaneous coronary intervention is the most effective way to reduce the size of myocardial infarction and improve clinical outcomes. However, recovery of blood flow to the ischemic myocardium may cause ischemia-reperfusion (I/R) injury, a phenomenon that instead reduces the efficacy of myocardial reperfusion. Traditional Chinese medicine (TCM) has long been used for the treatment of cardiovascular diseases and has shown remarkable efficacy. Many studies have shown that some TCMs and their active components can exert protective effects against myocardial I/R injury through different mechanisms. This review summarized the protective mechanisms and current research advances of TCMs in myocardial I/R injury.
Deep Learning-Based Anomaly Traffic Detection Method in Cloud Computing Environment
Authors: Cen Junjie , Li Yongbo
Published: March 2022

To address the problem of poor detection performance of existing intrusion detection methods in the environment of high-dimensional massive data with uneven class distribution, a deep learning-based anomaly traffic detection method in cloud computing environment is proposed. First, the fuzzy

C

-means (FCM) algorithm is introduced and is combined with the general regression neural network (GRNN) to cluster the samples to be classified in the original space by FCM. Then, the GRNN model is trained and the center point is updated using the sample closest to the FCM clustering center until a stable cluster center is obtained. The parameters in FCM-GRNN are optimized using the global optimization feature of the modified fruit fly optimization algorithm (MFOA), and the optimal spread value is found using the three-dimensional search method through an iterative search. Finally, experiments are conducted based on the KDD CUP99 dataset, and the results demonstrate that the detection rate (DR) and false alarm rate (FAR) of the proposed FCM-MFOA-GRNN method are 91% and 1.176%, respectively, which are better than those of the comparison methods. Therefore, the proposed method has good anomaly traffic detection ability.
Diffusion-Weighted Imaging Combined with Cervical Vascular Ultrasound in the Elderly Patients with Multiple Cerebral Infarction
Authors: Lv Jinchun , Zhao Jia
Published: March 2022

Objective. This study is aimed at evaluating the diagnostic value of diffusion-weighted imaging combined with cervical vascular ultrasound in the elderly patients with multiple cerebral infarctions and at demonstrating whether the diagnostic value is affected by the history of diabetes. Methods. From January 2020 to November 2021, the case data of 30 elderly patients with multiple cerebral infarction diagnosed in our hospital were included. Diffusion-weighted magnetic resonance imaging (DWI) and cervical vascular ultrasound (CAU) were performed, respectively. The diagnosis rates of the simple diffusion-weighted imaging group, the simple cervical vascular ultrasound group, and the diffusion-weighted imaging combined with cervical vascular ultrasound group were compared. Results. The median onset time of 30 patients was 26.5 (4.75, 43.0) hours. There were 10 hyperacute patients and 20 acute patients. The proportion of diagnosable patients in the diffusion-weighted imaging group was 83.8% (25/30), which was lower than the proportion of diagnosable patients in the diffusion-weighted imaging combined with cervical vascular ultrasound group, which was 90% (27/30). The difference was statistically significant (

χ

2

=
16.667

;

P
<
0.001

). The ratio of diagnosable patients in the cervical vascular ultrasound group alone was 66.7% (20/30), which was lower than 90% (27/30) in the diffusion-weighted imaging combined with cervical vascular ultrasound group. The difference was statistically significant (

χ

2

=
6.7

;

P
=
0.010

). In the hyperacute phase, the proportion of diagnosable patients in the diffusion-weighted imaging combined with cervical vascular ultrasound group was higher than that in the diffusion-weighted imaging group alone (

χ

2

=
5.833

;

P
=
0.016

) and the cervical vascular ultrasound group alone (

χ

2

=
2.500

;

P
=
0.004

). In the acute phase, the proportion of diagnosable patients in the diffusion-weighted imaging combined with cervical vascular ultrasound group was also higher those that in the diffusion-weighted imaging group alone (

χ

2

=
9.474

;

P
=
0.002

) and the cervical vascular ultrasound group alone (

χ

2

=
3.158

;

P
=
0.006

). The diagnostic accuracy of diffusion-weighted imaging combined with cervical vascular ultrasound was not significantly different between patients with history of diabetes and without history of diabetes (

χ

2

=
1.014

;

P
=
0.314

) Conclusion. The combined application of diffusion-weighted imaging and cervical vascular ultrasound has important value in improving the diagnosis rate of multiple cerebral infarction in the elderly, regardless of diabetes history, and it is worthy of clinical application.
Comparative Analysis of Subdivided Hex-Derived Networks Using Structural Descriptors
Authors: Ahmad Maqsood , Javaid Muhammad , Bonyah Ebenezer , Saeed Muhammad
Published: March 2022

A structural descriptor is a numeric quantity, invariant under symmetry, extracted from a molecular graph

Γ

using tools from mathematics. Hex-derived networks

H
D
N
1

n

and

H
D
N
2

n

being dual of (3,12,12) and (4,8,8) carbon allotrope (nanocones, nanotubes) are quite fascinating structures in mathematical chemistry. In this paper, we compute exact formulas of various significant structure descriptors for the subdivision of the second and the third kind of hex-derived networks

S
H
D
N
2

n

and

S
H
D
N
3

n

, respectively. Moreover, we perform a comparative graphical analysis among certain descriptors of

S
H
D
N
1

n

,

S
H
D
N
2

n

, and

S
H
D
N
3

n

to help understand and provide an insight to anticipate some physicochemical properties of the networks under discussion.
Design and Research of Digital Media Art Display Based on Virtual Reality and Augmented Reality
Authors: Ye Weina , Li Yuhui
Published: March 2022

Purpose. To serve as a reference for the evolution of the online digital art display industry, as well as to conduct further studies in the field of digital entertainment art in the showcase design business in order to give solid evidentiary assurances, this article presents a virtual reality which is a technology reality-based digital media art exhibition design with the goal of examining the new construction trend of online media art with in context of existing period and the use of sophisticated technology. Implications. This paper enriches the theory, skills, and means of digital cultural communication, opens up a broader space and vision for digital media art communication, enriches the communication skills and means of digital media, and provides flexible and efficient ideas and methods for the dissemination of digital media art, which is of practical significance for realizing the active and effective dissemination of digital media art. Methodology. The method of this paper is to use the digital three-dimensional panorama technology of virtual reality to explore the digital media art display and digital media art expression form of augmented reality. The role of these methods is to solve the problem of spatial positioning of virtual 3D objects in real scenes and to judge the final detection model, the problem of model making to satisfy AR computing power, and the problem of scene interaction. Research Findings. Through a mix of digital content artwork and virtual reality and augmented reality technologies, this research examines the impact of AR and VR in digital art and analyzes and summarizes a series of design strategies for digital media art display projects. The results show that people are 33.6% more satisfied with VR and AR displays than traditional displays.
Regional Information Management of Higher Education Based on Network Security and Grey Relational Analysis
Authors: Shen Ling , Wang Guangming , Gao Haiwei
Published: March 2022

The optimal allocation of higher education resources is related to the growth of the regional economy and the development of innovation ability. Therefore, it is essential to deal with the relationship between quality, scale, efficiency, and fairness in the process of regional educational resource allocation. This study uses a method that combines empirical and normative analysis to classify and integrate regional educational data using the grey relational method and to improve the status quo of regional educational resource distribution. The infrastructure and resource-sharing mode of a regional university information resource grid database is designed in combination with the network security method. Various performance indicators are used to evaluate the quality of resource sharing. The assessment of resources sharing using performance indicators can enhance the initiative and enthusiasm of resource sharing among colleges and universities in the region. The feasibility of the scheme is verified through the educational information integration test, which can effectively promote the regional development of higher education and improve the quality of educational services.
Analysis of Influencing Factors and Enterprise Strategy of Online Consumer Behavior Decision Based on Association Rules and Mobile Computing
Authors: Xiao Biyan , Piao Guofeng
Published: March 2022

Consumers are constantly generating a large amount of data, thanks to the arrival of the big data era and the advancement of mobile edge computing capabilities. Massive behavioral data points to the need to mine and analyze potentially valuable information. The commonality and individuality of customer groups’ consumption behaviors must be researched before marketing decisions and strategies can be implemented. Because of the unique advantages of mobile edge computing technology, the Internet’s application has become more and more widespread, and businesses are increasingly paying attention to network marketing. With the system’s long-term use, decision-makers began to wonder if useful information could be extracted from vast amounts of historical data to help them summarize or even predict changes in customer demand and purchasing behavior. This assumption is possible thanks to the rise and development of data mining technology. Association rules are increasingly being applied to customer behavior analysis as the most active branch of data mining in the last ten years. The majority of association rule research currently focuses on one-dimensional data association analysis of a user’s package using classical algorithms. The use of association rules mining on multidimensional data with multiple attributes in the telecom service industry is limited due to the complexity of the data structure and algorithm.
Impact of Hydroclimate Change on the Management for the Multipurpose Reservoir: A Case Study in Meishan (China)
Authors: Liu Yang , Wang Buwei
Published: March 2022

China holds the largest amount of reservoirs in the world, while more than 80% of them were constructed 50–70 years ago and are approaching a critical stage of their designed lifetime. Before deciding the future of a reservoir, it is essential to find out whether it could still satisfy its original purpose in the context of hydroclimate change under global warming. Here, we present a case study of the Meishan reservoir in east-central China, which was primarily built for irrigation and flood control in the 1950s. We evaluate the impacts of rainfall change on the hedging and releasing rules over the historical period (1969–2008) by instrumental data and future period (2061–2100) based on simulations in a regional rivalry-mitigated scenario from the Coupled Model Intercomparison Project Phase 6. The main conclusions are as follows: (1) the annual total rainfall has a remarkable increasing trend from 2015 to 2100 and the annual precipitation variability exceeds the envelope range during the past 50-year period. The increased precipitation amount mainly occurs in spring (March to May). (2) The optimal regulation cycle is from September to August and from July to June for both historical and future periods. The limiting level during the nonflooded season is lower than the operating water level for more than five months in the historical period, which limits the ability of reservoir regulation and utilization of water resources. However, the water supply is no longer affected by flood control in 2061–2100 because of the redistribution of annual precipitation. (3) The projected irrigation and residential water demands of the Meishan reservoir are stable; thus, the improvement of the total economic benefit will mainly depend on power generation. This case provides a practical guide for many reservoirs serving water supply for small cities in eastern China, where the size of the population and cultivated land area is stagnant and the climate is getting wetter.