bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence of Aflatoxin Contamination in Peanuts and Peanut Butter from an Informal Market, Harare, Zimbabwe
Authors: Masaka V. P. , Ndlovu N. , Tshalibe R. S. , Mhande T. C. , Jombo T. Z.
Published: September 2022

Peanuts and peanut butter play an important role nutritionally in improving the diets of individuals in many parts of Africa, especially in the fight against child malnutrition. However, in developing countries such as Zimbabwe, most of the raw peanuts and peanut butter produced in backyard industries are sold in informal markets and rarely undergo formal safety inspection for aflatoxin contamination. The objective of the study was to determine the prevalence of aflatoxins in raw peanuts and backyard peanut butter sold at Mbare informal market. Ten (10) raw peanut samples and twenty (20) peanut butter samples were collected from Mbare informal market. Aflatoxin contamination was determined using liquid chromatography-mass spectrometry (LC-MS). The results revealed that sixty percent (60%) of the raw peanut samples were contaminated with total aflatoxin ranging from <0.75 to 426.4 μg/kg. One hundred percent (100%) of peanut butter samples were contaminated with total aflatoxins ranging from 4.7 μg/kg to 435.0 μg/kg. Aflatoxin B1 was the most prevalent aflatoxin in both raw peanuts (range, 1.2 μg/kg to 90.8 μg/kg) and peanut butter (range, 4.7 to 382.9 μg/kg). Forty percent (40%) of the raw peanuts and 95% of peanut butter samples exceeded the maximum limits of AFB1 as set by Zimbabwe legislation. The results suggest that raw peanuts and especially the peanut butter from backyard industries are heavily contaminated with aflatoxins and could constitute a possible health risk to consumers who regularly purchase these food commodities from informal markets.
[Retracted] The Influence of Culture and Art Management on the Healthy Development of Cultural Economy Industry under the Background of Sustainable Ecological Environment
Authors: Xu Jingyi , Wang Jianxin , Liu Qingyang , Xie Ziyan , Seo Jae Lee , Fiaidhi Avera , Marcos Elvan
Published: September 2022

In the context of sustainable ecological environment, strengthening the scientific management of cultural industry can promote the rapid development of China’s cultural industry and further promote the construction of spiritual civilization in China. Starting from culture and art management, this study expounds its position in the development of cultural economy industry and its impact on the development of cultural economy. Through two different methods of culture and art management and conventional management, this paper discusses the social and economic market benefit value, the demand for the healthy development of industry, and the impact of innovative cultural industry resources on the development of cultural industry. It can be concluded that culture and art management plays a certain role in promoting the healthy development of cultural economy industry; we should constantly sum up experience in the actual process of cultural industry management, find and solve problems in time, and gradually form a set of scientific and complete cultural and art management mode, which can realize the transformation of cultural and art industry faster and better promote the sustainable development of cultural economy and industry.
Renalase Challenges the Oxidative Stress and Fibroproliferative Response in COVID-19
Authors: Stojanovic Dijana , Stojanovic Miodrag , Milenkovic Jelena , Velickov Aleksandra , Ignjatovic Aleksandra , Milojkovic Maja
Published: September 2022

The hallmark of the coronavirus disease 2019 (COVID-19) pathophysiology was reported to be an inappropriate and uncontrolled immune response, evidenced by activated macrophages, and a robust surge of proinflammatory cytokines, followed by the release of reactive oxygen species, that synergistically result in acute respiratory distress syndrome, fibroproliferative lung response, and possibly even death. For these reasons, all identified risk factors and pathophysiological processes of COVID-19, which are feasible for the prevention and treatment, should be addressed in a timely manner. Accordingly, the evolving anti-inflammatory and antifibrotic therapy for severe COVID-19 and hindering post-COVID-19 fibrosis development should be comprehensively investigated. Experimental evidence indicates that renalase, a novel amino-oxidase, derived from the kidneys, exhibits remarkable organ protection, robustly addressing the most powerful pathways of cell trauma: inflammation and oxidative stress, necrosis, and apoptosis. As demonstrated, systemic renalase administration also significantly alleviates experimentally induced organ fibrosis and prevents adverse remodeling. The recognition that renalase exerts cytoprotection via sirtuins activation, by raising their NAD+ levels, provides a “proof of principle” for renalase being a biologically impressive molecule that favors cell protection and survival and maybe involved in the pathogenesis of COVID-19. This premise supports the rationale that renalase’s timely supplementation may prove valuable for pathologic conditions, such as cytokine storm and related acute respiratory distress syndrome. Therefore, the aim for this review is to acknowledge the scientific rationale for renalase employment in the experimental model of COVID-19, targeting the acute phase mechanisms and halting fibrosis progression, based on its proposed molecular pathways. Novel therapies for COVID-19 seek to exploit renalase’s multiple and distinctive cytoprotective mechanisms; therefore, this review should be acknowledged as the thorough groundwork for subsequent research of renalase’s employment in the experimental models of COVID-19.
The Effects of Foot Reflexology on Vital Signs: A Meta-Analysis of Randomized Controlled Trials
Authors: Jing Yunyan , Liu Shanxin , Pan Chunqi , Jian Ying , Wang Mingwei , Ni Bin
Published: September 2022

Introduction. We evaluated the effects of foot reflexology on bodily vital signs. Methods. Randomized controlled trials (RCTs) evaluating the effects of foot reflexology on vital signs were collected for a meta-analysis. Statistical analysis was conducted using RevMan5.4 software and pooled estimates of the effects were reported as mean differences (MDs) with 95% conﬁdence intervals (CIs). Results. Thirteen studies, including 819 patients, met our inclusion criteria. Our results showed that systolic blood pressure (SBP) (MD = -4.62, 95% CI: -5.58 to -3.66;

P
<
0.00001

), diastolic blood pressure (DBP) (MD = -3.32, 95% CI: -4.48 to -2.17;

P
<
0.00001

), heart rate (HR) (MD = -4.76, 95% CI: -6.49 to -3.04;

P
<
0.00001

), respiratory rate (RR) (MD = -0.77, 95% CI: -1.50 to -0.48;

P
<
0.00001

), and pulse oxygen saturation (SpO2) (MD = 0.95, 95% CI: 0.39 to 1.52;

P
=
0.0009

) showed statistical significance in the foot reflexology group. Conclusions. Short-term followup results showed that foot reflexology exerted positive effects on vital signs, reduced BP, HR, and RR and increased SpO2.
[Retracted] Examination on Risk Factors of Infertility Caused by EMT and Their Correlation with VEGF, TNF‐α, IL‐6, IL‐10, and IL‐17
Authors: Li Wei , LibinWeng
Published: September 2022

In order to explore the risk factors of infertility caused by endometriosis (EMT) and their correlation with vascular endothelial growth factor (VEGF), TNF‐α, IL‐6, IL‐10, and IL‐17, endometriosis sufferers admitted to our hospital from January 2021 to May 2022 are selected to conduct the examination. According to the pregnancy of patients, patients were included in the simple EMT set and EMT combined infertility set, with 50 cases in each group. The degree of dysmenorrhea is evaluated by the VAS score, and Luminex liquid protein is used to analyze the standards of the tumor necrosis factor (TNF‐A), interleukin (IL)‐10, IL‐6, IL‐17, and VEGF. Logistic multifactor regression decomposition is applied to analyze the risk factors of infertility in EMT sufferers. Besides, the standards of VEGF, TNF‐α, IL‐6, IL‐10, and IL‐17 in sufferers with different periods/agony degrees are evaluated, and the correlation of different periods/agony degrees with VEGF, TNF‐α, IL‐6, IL‐10, and IL‐17 is analyzed. The results show that the different R‐AFS periods are notoriously positively correlated with VEGF, TNF‐α, IL‐6, IL‐10, and IL‐17 (all P < 0.05), and the VAS score is notoriously positively correlated with the abovementioned factors.
The Different Insulin-Sensitising and Anti-Inflammatory Effects of Palmitoleic Acid and Oleic Acid in a Prediabetes Model
Authors: Miklankova Denisa , Markova Irena , Hüttl Martina , Stankova Barbora , Malinska Hana
Published: September 2022

Introduction. Monounsaturated fatty acids (MUFA) are understood to have therapeutic and preventive effects on chronic complications associated with type 2 diabetes mellitus (T2DM); however, there are differences between individual MUFAs. Although the effects of palmitoleic acid (POA) are still debated, POA can regulate glucose homeostasis, lipid metabolism, and cytokine production, thus improving metabolic disorders. In this study, we investigated and compared the metabolic effects of POA and oleic acid (OA) supplementation on glucose and lipid metabolism, insulin sensitivity, and inflammation in a prediabetic model, the hereditary hypertriglyceridemic rat (HHTg). HHTg rats exhibiting genetically determined hypertriglyceridemia, insulin resistance, and impaired glucose tolerance were fed a standard diet. POA and OA were each administered intragastrically at a dose of 100 mg/kg b.wt. for four weeks. Results. Supplementation with both MUFAs significantly elevated insulin and glucagon levels, but only POA decreased nonfasting glucose. POA-treated rats showed elevated circulating NEFA associated with increased lipolysis, lipoprotein lipase gene expression, and fatty acid reesterification in visceral adipose tissue (VAT). The mechanism of improved insulin sensitivity of peripheral tissues (measured as insulin-stimulated lipogenesis and glycogenesis) in POA-treated HHTg rats could contribute increased circulating adiponectin and omentin levels together with elevated FADS1 gene expression in VAT. POA-supplemented rats exhibited markedly decreased proinflammatory cytokine production by VAT, which can alleviate chronic inflammation. OA-supplemented rats exhibited decreased arachidonic acid (AA) profiles and decreased proinflammatory AA-derived metabolites (20-HETE) in membrane phospholipids of peripheral tissues. Slightly increased FADS1 gene expression after OA along with increased adiponectin production by VAT was reflected in slightly ameliorated adipose tissue insulin sensitivity (increased insulin-stimulated lipogenesis). Conclusions. Our results show that POA served as a lipokine, ameliorating insulin sensitivity in peripheral tissue and markedly modulating the metabolic activity of VAT including cytokine secretion. OA had a beneficial effect on lipid metabolism and improved inflammation by modulating AA metabolism.
Analysis of Smart Lung Tumour Detector and Stage Classifier Using Deep Learning Techniques with Internet of Things
Authors: Joshi Shubham , Pandit Shraddha Viraj , Shukla Piyush Kumar , Almalki Atiah H. , Othman Nashwan Adnan , Alharbi Adnan , Alhassan Musah
Published: September 2022

The use of artificial intelligence (AI) and the Internet of Things (IoT), which is a developing technology in medical applications that assists physicians in making more informed decisions regarding patients’ courses of treatment, has become increasingly widespread in recent years in the field of healthcare. On the other hand, the number of PET scans that are being performed is rising, and radiologists are getting significantly overworked as a result. As a direct result of this, a novel approach that goes by the name “computer-aided diagnostics” is now being investigated as a potential method for reducing the tremendous workloads. A Smart Lung Tumor Detector and Stage Classifier (SLD-SC) is presented in this study as a hybrid technique for PET scans. This detector can identify the stage of a lung tumour. Following the development of the modified LSTM for the detection of lung tumours, the proposed SLD-SC went on to develop a Multilayer Convolutional Neural Network (M-CNN) for the classification of the various stages of lung cancer. This network was then modelled and validated utilising standard benchmark images. The suggested SLD-SC is now being evaluated on lung cancer pictures taken from patients with the disease. We observed that our recommended method gave good results when compared to other tactics that are currently being used in the literature. These findings were outstanding in terms of the performance metrics accuracy, recall, and precision that were assessed. As can be shown by the much better outcomes that were achieved with each of the test images that were used, our proposed method excels its rivals in a variety of respects. In addition to this, it achieves an average accuracy of 97 percent in the categorization of lung tumours, which is much higher than the accuracy achieved by the other approaches.
Prognostic Implication of a Cuproptosis-Related miRNA Signature in Hepatocellular Carcinoma
Authors: Jin Ze , Wang Mengmeng , Meng Yajun , Chen Di , Xu Yushuang , Jiang Xin , Xiong Zhifan
Published: September 2022

Background. Hepatocellular carcinoma (HCC) is one of the most frequently diagnosed malignancies globally, accounting for the third cause of cancer mortality. Cuproptosis, a copper-induced cell death, was recently reported in Science. The purpose of this study was to evaluate the prognostic implication of cuproptosis-related miRNAs (CRMs) in HCC. Methods. Transcriptomic data and clinicopathological features of patients with HCC were extracted from the Cancer Genome Atlas (TCGA) database. Prognostic CRM signature was established by utilizing univariate Cox regression and LASSO analyses. To validate the accuracy of prediction, the Kaplan-Meier (K-M) and time-dependent receiver operating characteristic (ROC) analyses were adopted. A nomogram comprising clinical characteristics and the miRNA signature was developed to improve the prediction of patient outcomes. Finally, functional enrichment analysis and immune infiltration analysis were carried out. Results. Of CRMs, 14 were obtained to construct a prognostic miRNA signature. This CRM signature was an independent factor for predicting overall survival (OS). Kaplan-Meier curves demonstrated a noteworthy difference in survival rates between different risk subgroups (

p
<
0.001

). The robust prognostic capacity of this signature was exhibited by sampling verification and stratified survival analysis. Functional analysis indicated that the high-risk group was mainly enriched in signaling pathways and different levels of immune infiltration were revealed between the two risk groups. The potential interaction of the model with the immune checkpoint activities was also detected. Conclusion. The CRM signature could act as an independent predictor to guide individual treatment strategies, which could provide fundamental insights for further studies.
Comprehensive Planning of Laboratory Equipment Based on Genetic Algorithms
Authors: Mi Tiantian
Published: September 2022

Laboratory equipment planning is a very important task in modern enterprise management. Laboratory equipment planning by computer algorithm is a very complex NP-hard combinatorial optimization problem, so it is impossible to find an accurate algorithm in polynomial time. In this study, an improved genetic algorithm is used to solve and analyze the comprehensive planning of laboratory equipment. After analyzing the traditional heuristic algorithm and genetic algorithm to solve the simple laboratory equipment planning problem, the simple laboratory equipment planning is designed and implemented according to the principle of the heuristic algorithm. Finally, the algorithm is implemented in Python. A general equipment planning based on genetic algorithm with two selection operators is realized. Two constraints of test start and completion time are given. In the scenario of using multiple test equipment for a test project, the possible solutions of laboratory equipment planning under given constraints are analyzed. The efficiency coefficient is not necessarily a constant, it is related to the output characteristics of energy equipment. Three independent planning algorithms are used to solve the actual test requirements. One is the planning method based on manual test scheduling in the test cycle of experimental instruments, the other is the genetic algorithm for gene location crossover operator, and the third is the genetic algorithm for experimental part crossover operator. The planning solutions obtained by the three algorithms are compared from three aspects: the shortest time to complete the test, the calculation time of the algorithm, and the utilization of the test equipment.
Biomechanical Effects of Stemmed Total Knee Arthroplasty on the Human Femur: A CT‐Data Based Study
Authors: Sporer Elisabeth M. , Schilling Christoph , Sauer Adrian , Tait Robert J. , Giurea Alexander , Grupp Thomas M.
Published: September 2022

End‐of‐stem pain of the femur is a common problem in revision total knee arthroplasty (TKA). It may be caused by a problematic interaction between stem and bone, but the exact biomechanical correlate is still unknown. The aim of this prospective study was to find out how the stem is positioned in the medullary canal, how the femoral geometry changes due to implantation, and whether the results are influenced by the diameter of the trial. We implanted 16 rotating hinge knee implants into 16 fresh‐frozen human femora using the hybrid fixation technique and comparing two reaming protocols. We created 3‐dimensional models of the specimens before and after implantation using CT‐scans and calculated the differences. The main contact between stem and bone was found at the proximal 30 mm of the stem, especially anterior. We observed two different contact patterns of stem and bone. The cortical thickness was reduced especially at the anterior tip of the stem with a maximum reduction of 1405 ± 501 μm in the standard group and 980 ± 447 μm in the small_trial group, which is a relative reduction of 34 ± 14% (standard group) and 26 ± 14% (small_trial group). The bone experienced a deformation to posterior and lateral. We conclude that the tip of the stem is an important biomechanical region. Different contact patterns between stem and bone as well as the reduction in cortical thickness at the tip of the stem may play a role in the development of end‐of‐stem pain.
Identification of Important Genes of Keratoconus and Construction of the Diagnostic Model
Authors: Wang Lin , Wang Yuqing , Liu Juan , Zhao Wencheng
Published: September 2022

Objective. The aim of the study is to investigate the potential role of keratoconus (KC) in the diagnosis of keratoconus (KC). Methods. GSE151631 and GSE77938 were downloaded from the comprehensive gene expression database (GEO). By using the random forest model (RF), support vector machine model (SVM), and generalized linear model (GLM), important immune-related genes were identified as biomarkers for KC diagnosis. Results. Through the LASSO, RFE, and RF algorithms and comparing the three sets of DEGs, a total of 8 overlapping DEGs were obtained. We took 8 DEGs as the final optimal combination of DEGs: AREG, BBC3, DUSP2, map3k8, Smad7, CDKN1A, JUN, and LIF. Conclusion. Abnormal cell proliferation, apoptosis, and autophagy defects are related to KC, which may be the etiology and potential target of KC.
[Retracted] Genomic and Therapeutic Analyses of Staphylococcus aureus Isolated from Cattle Reproductive Tract
Authors: Shafique Laiba , Aqib Amjad Islam , Liang Qin , Qin Chaobin , Ali Muhammad Muddassir , Adil Memoona , Sarwar Zaeem , Saleem Arslan , Ajmal Muhammad , Khan Alveena , Pan Hongping , Cui Kuiqing , Liu Qingyou
Published: September 2022

Staphylococcus aureus is emerging as a ubiquitous multidrug‐resistant pathogen circulating among animals, humans, and their environment. The current study focused on molecular epidemiology and evidence‐based treatment against S. aureus from bovine endometritis. For this study, n = 304 cattle were screened for endometritis using ultrasonography while presenting case history, and clinical signs were also considered. S. aureus was isolated from endometritis‐positive uterine samples which were further put to molecular identification, phylogenetic analysis, susceptibility to antibiotics, and testing of novel drug combinations in both in vitro and field trials. The findings of the study revealed 78.20% of bovine endometritis samples positive for S. aureus, while nuc gene‐based genotyping of S. aureus thermal nuclease (SA‐1, SA‐2, and SA‐3) showed close relatedness with S. aureus thermal nuclease of Bos taurus. Drug combinations showed 5.00 to 188.88% rise in zones of inhibitions (ZOI) for drugs used in combination compared to the drugs used alone. Gentamicin in combination with amoxicillin and enrofloxacin with metronidazol showed synergistic interactions in an in vitro trial. Co‐amoxiclav with gentamicin, gentamicin with enrofloxacin, and metronidazole with enrofloxacin showed 100%, 80%, and 60% efficacy in treating clinical cases in field trials, respectively. As a result, the study came to the conclusion the higher prevalence of endometritis‐based S. aureus, genetic host shifts, narrow options for single drugs, and need for novel drug combinations to treat clinical cases.
Automatic Error Detection Method of Embedded English Speech Teaching Recognition System under the Background of Artificial Intelligence
Authors: He Wenjuan
Published: September 2022

The embedded English speech teaching recognition system is a technology that writes the English speech recognition device control program into the chip and embeds the chip into the device, so that the human-like chip controls the English speech device to complete the speech recognition operation. Applying the embedded technology to the English speech recognition system can improve the recognition accuracy of the system to a higher level in terms of recognizing the English speech of a specific person. The purpose of this paper is to research and design an automatic error detection method for embedded English speech teaching recognition system in the context of artificial intelligence. This paper first gives a general introduction to the overview of artificial intelligence, then analyzes the speech recognition algorithm, uses MatLab software to obtain the correct number of recognition system words and the correct rate, and then implements the embedded English teaching recognition system in different environments. The experimental results of comparison through multiple test analysis show that in a quiet environment, the error rate of the embedded English speech teaching recognition system is very low, and the correct recognition rate can reach more than 90%. In a noisy environment affected by various noises, the correct recognition rate of the embedded English speech teaching recognition system is basically above 60%.
Improvement of Wolf Pack Algorithm and Its Application to Logistics Distribution Problems
Authors: Zheng Wei
Published: September 2022

In logistics distribution systems, the constrained optimisation of the cargo dispensing problem has been the focus of research in related fields. At present, many scholars try to solve the problem by introducing swarm intelligence algorithms, including genetic algorithm, particle swarm algorithm, bee swarm algorithm, fish swarm algorithm, etc. Each swarm intelligence algorithm has different characteristics, but they all have certain advantages for the optimisation of complex problems. In recent years, the Wolf Pack algorithm, an emerging swarm intelligence algorithm, has shown good global convergence and computational robustness in solving complex high-dimensional functions. Therefore, this article chooses to use the Wolf Pack algorithm to solve a multi-vehicle and multi-goods dispensing problem model. First, the principle and process of the Wolf Pack algorithm are introduced, and two improvements are proposed for the way of location update and the way of step update. Then, a mathematical model of the multi-vehicle and multi-goods dispensing problem is developed. Next, the mathematical model is solved using the proposed improved Wolf Pack algorithm. The experimental results show that the proposed improved Wolf Pack algorithm effectively solves the cargo dispatching problem. In addition, the proposed improved Wolf Pack algorithm can effectively reduce the number of vehicles to be dispatched compared with other swarm intelligence algorithms.
Application and Analysis of Artificial Intelligence in College Students’ Career Planning and Employment and Entrepreneurship Information Recommendation
Authors: Zhang Hui , Zheng Zhuonan
Published: September 2022

With the arrival of graduation season, the number of graduates is expanding every year, and the employment rate of college students has become one of the data that colleges and universities pay attention to. To improve the employment rate of college students, we should first educate each college student in career planning, so that they can clearly understand their own positioning and future development direction. Career planning can guide students to understand their jobs and analyze their professional fields. Faced with massive employment information, it is also a big problem for college students to search and choose information. In this paper, the personalized recommendation system for entrepreneurship is described, and the basic principles of information recommendation are described. The basic information and personal interest points of college students are represented by feature vectors, which provide a favorable theoretical support for college students’ career planning and employment and entrepreneurship information recommendation. An information recommendation model under deep learning is formed. Finally, the performance of the model under the traditional algorithm and the optimized information recommendation model is evaluated, and the satisfaction of users to this system is scored so as to provide a convenient and quick information recommendation system for college students, thus indirectly improving the employment rate of graduates and providing corresponding solutions to the problem of difficult employment.
Emotion Analysis of Literary Works Based on Attentional Mechanisms and the Fusion of Two-Channel Features
Authors: Han Yanli
Published: September 2022

In order to analyze sentiment data of foreign literary works, this paper proposes an algorithm for sentiment classification of literary works. We do this by fusing different features of literary works, which in turn captures more feature information for the classifier. As traditional word embedding models are difficult to achieve fusion with the sentiment features of literary works, we consider a multifeature fusion approach of word embedding features and lexical features of literary works. A two-channel and single-channel comparison is also used to analyze the classification accuracy based on the two feature fusion methods, and a parallel CNN and BiLSTM-attention two-channel neural network model proposed. Finally, the proposed model was evaluated using a real dataset of sentiment reviews of literary works and compared with different classification algorithms in the experiments. The experimental results show that the new hybrid approach has better classification accuracy, recall, and F1 metrics. The proposed methodology is an important guide for the creation of literary works and their screenplays, as it can be used to judge whether a work appeals to readers and, importantly, can also be considered as one of the criteria for the success of a film adaptation of a literary work.
The Prognostic Value of Serum HBV-RNA during Hepatitis B Virus Infection is Related to Acute-on-Chronic Liver Failure
Authors: Qian Keli , Xue Ying , Sun Hang , Lu Ting , Wang Yixuan , Shi Xiaofeng
Published: September 2022

Background. Serum HBV-RNA levels can predict antiviral response in chronic hepatitis B (CHB) patients; however, its role in HBV-related ACLF (HBV-ACLF) remains unclear. Here, we determined its implications for HBV-ACLF. Methods. Baseline serum HBV-RNA levels were retrospectively detected in HBV-ACLF and CHB patients. The association of serum HBV-RNA level with clinical outcomes was evaluated by performing multiple logistic regression. A nomogram was developed to formulate an algorithm incorporating serum HBV-RNA for predicting the survival of HBV-ACLF patients. After being discharged from the hospital, the HBV-ACLF patients were followed up for 36 weeks. Results. In this study, 82 HBV-ACLF patients and 33 CHB patients were included. Serum HBV-RNA levels were significantly higher in CHB patients than in HBV-ACLF patients (4.15 ± 2.63 log10 copies/mL VS 5.37 ± 2.02 log10 copies/mL) (P<0.05). Among the HBV-ACLF cases, patients with poor outcomes had lower serum HBV-RNA levels, but the difference was not significant. The area under the receiver operating characteristic curve of the serum HBV-RNA inclusive model was 0.745, superior to 0.66 from MELD scores (P<0.05). During the follow-up for four weeks, the serum HBV-RNA levels, especially in the survival group, were found to be lower than the baseline levels. Conclusions. Serum HBV-RNA levels were associated with disease severity and might predict the long-term clinical outcome of HBV-ACLF patients.
Data Mining Method of Intelligent Market Management Based on Collaborative Recommendation Algorithm
Authors: Wu Ziling , Wang Shi , Cai Yuanhang
Published: September 2022

In order to solve the problems of low coverage and accuracy and large mean absolute error and root mean square error when traditional algorithms recommend market management data, this paper proposes an intelligent market management data mining method based on a collaborative recommendation algorithm. According to the preference value of the attribute characteristics of market management data, predict and score the attribute characteristics of market management data; use data mining technology to preprocess the information of market management data, combined with the design of collaborative filtering recommendation algorithm; and realize the collaborative filtering recommendation of market management data. With 50 recommendations, AGCAN improves the accuracy of MovieLens-1M by 43.81%, 5.43%, 1.87%, 0.42%, and 1.67%, respectively, compared with the five benchmark algorithms. For MovieLens-100K, compared with the five benchmark algorithms, AGCAN improves the accuracy by 51.17%, 10.52%, 3.37%, 0.1%, and 0.30%, respectively. Compared with the five benchmark algorithms, Amazon-baby and AGCAN have improved the accuracy by 34.37%, 28.12%, 31.25%, 29.1%, and 3.12%, respectively. The algorithm proposed in this paper uses a graph neural network to mine useful information between users and projects, but it lacks the use of other personalized interest information of users, such as user interest, user purchase time, and so on.
Underwater Acoustic Micromodem for Underwater Internet of Things
Authors: Chen Hongbin , Zhu Yi , Zhang Wenwen , Wu Kefei , Yuan Fei
Published: September 2022

Underwater acoustic communication (UAC) networks are becoming a hot spot for research due to the growing demand for ocean development. Previous acoustic modems were mainly designed for the field of ocean engineering construction and scientific investigation, and consequently, with the characteristics of large size and high-power consumption, a low-cost, low-power consuming micromodem is proposed in this paper to satisfy the requirements of underwater Internet of Things (IoT). The STM32F767 processor is embedded in the micromodem as the core for fast digital signal processing. Furthermore, a convolutional code–block interleaving–frequency hopping–MFSK underwater communication scheme is also discussed to ensure the communication quality. Experimental results are shown to demonstrate our modem can realize the reliable UAC transmission of 200~300 bit/s at the distance of 500 m.
Association of Procalcitonin with the Patient’s Infection Characteristics and Prognosis after Hematopoietic Stem Cell Transplantation
Authors: Li Shan-Shan , Gu Jun-xu , Li Xiao-wei , Zhang Na , Jia Mei , Pei Lin , Su Ming
Published: September 2022

Objective. To study whether procalcitonin (PCT) is an important indicator of infection with or without agranulocytosis and to reveal whether PCT can distinguish between infected sites and affect prognosis after hematopoietic stem cell transplantation (HSCT). Method. In the present study, 682 patients with HSCT were enrolled, and their clinical characteristics were noted. Their blood culture and inflammatory and biochemical indicators were studied. The patients were divided into respective groups according to the degree of agranulocytosis, type of bacterial infection, infected sites, and prognosis. Results. The PCT, CRP, and D-dimer levels were significantly improved in patients with positive blood culture results compared to the case for those with negative blood culture results. The PCT level was the highest in the gram-negative group. The levels of PCT and D-dimer were significantly elevated in patients with infection and agranulocytosis after HSCT compared to those in the nonagranulocytosis cohort. Interestingly, no significant difference in the PCT level was observed among any of the eight foci. Lower PCT levels were associated with higher survival in patients with infection after HSCT. Conclusion. Among patients that underwent HSCT, PCT levels were significantly elevated in those with infection and agranulocytosis, with the levels being specifically high in the gram-negative group. Moreover, lower PCT levels were associated with higher survival in patients with infection after HSCT.
Private‐Sector Partner Selection for Public‐Private Partnership Projects Based on Improved CRITIC‐EMW Weight and GRA ‐VIKOR Method
Authors: Weng Xiangjian , Yang Shan
Published: September 2022

When the government decides to use the public‐private partnership (PPP) in projects, such as infrastructure construction, selecting a private‐sector partner that meets the project's needs is one of the key factors for successful implementation, but this is ignored in existing research. On this basis, this paper proposes a GRA‐VIKOR method based on the combined weight of the improved CRITIC‐entropy weight method (EWM). The traditional CRITIC method is improved by combining it with EWM. The combined weights are measured, which reduces the limitations of the single weight. Considering the inherent correlation of evaluation indicators, the VIKOR method is combined with the grey relational analysis (GRA), which makes the results of the selection assessment more reasonable. This paper carries out a case study of the first inland navigation PPP project in China. Through preliminary tracking studies, it tests the effectiveness of the proposed method, the superiority of which is demonstrated by comparing the evaluation results with those of the traditional GRA methods, VIKOR, and TOPSIS.
Performance of the Ridge and Liu Estimators in the zero‐inflated Bell Regression Model
Authors: Algamal Zakariya Yahya , Lukman Adewale F. , Abonazel Mohamed R. , Awwad Fuad A.
Published: September 2022

The Poisson regression model is popularly used to model count data. However, the model suffers drawbacks when there is overdispersion—when the mean of the Poisson distribution is not the same as the variance. In this situation, the Bell regression model fits well to the data. Also, there is a high tendency of excess zeros in the count data. In this case, the zero‐inflated Bell regression model is an alternative to the Bell regression model. The parameters of the zero‐inflated Bell regression model are mostly estimated using the method of maximum likelihood. Linear dependency is a threat in a real‐life application when modeling the relationship between the response variable and two or more explanatory variables in a generalized linear model such as the zero‐inflated Bell regression model. It reduced the efficiency of the maximum likelihood estimator. Therefore, we developed the ridge and Liu estimators for the zero‐inflated Bell regression model to deal with this issue. The simulation and application results support the dominance of the proposed methods over the conventional maximum likelihood estimator.
Effects of Direct Oral Anticoagulants’ Nonrecommended Dose in Atrial Fibrillation: A Meta-Analysis
Authors: Mosconi Maria Giulia , Maraziti Giorgio , Paciaroni Maurizio , Giustozzi Michela , Vedovati Maria Cristina , Bogliari Giulio , Urbini Chiara , Traballi Laura , Caso Valeria
Published: September 2022

Background: The efficacy and safety profiles of nonrecommended direct oral anticoagulant (DOAC) doses in patients with nonvalvular atrial fibrillation (NVAF) are still undefined. Summary: We searched for randomized controlled trials and observational studies that compared nonrecommended versus recommended doses of DOACs, published up to December 2021. Primary study outcomes were ischemic stroke/transient ischemic attack/systemic embolism (IS/TIA/SE) and major bleeding (MB). All-cause mortality was a secondary outcome. We determined pooled odds ratios (ORs) between groups of patients with a random-effect model. Twenty-three studies with 175,801 patients were included. Nonrecommended doses were associated with a higher risk of IS/TIA/SE and all-cause mortality, but not of MB as compared to recommended doses of DOACs (OR 1.25 [95% CI: 1.14–1.38], OR 1.69 [95% CI: 1.31–2.18] and OR 1.10 [95% CI: 0.93–1.31], respectively). The nonrecommended low dose was associated with an increased risk of IS/TIA/SE and all-cause death (OR 1.21 [95% CI: 1.05–1.39] and OR 1.66 [95% CI: 1.18–2.35], respectively) but not of MB (OR 1.01 [95% CI: 0.83–1.22] as compared to recommended doses. Subgroup analysis of nonrecommended low doses of DOACs showed a nonsignificant increase in IS/TIA/SE in Asians (OR 1.17 [95% CI: 0.89–1.54] vs. non-Asian (OR 1.21 [95% CI: 1.07–1.36]). Key Messages: Compared with recommended doses, nonrecommended low doses of DOACs increase the risk of ischemic events without decreasing the risk of bleeding. For Asians, the efficacy of DOACs seemed preserved despite the nonrecommended low-dose prescription. Clinicians should carefully adhere to recommended DOAC prescription advice in managing NVAF patients.
Characteristics and Survival Results of Peritoneal Dialysis Patients Suffering from COVID-19 in Turkey: A Multicenter National Study
Authors: Gursu Meltem , Ozturk Savas , Arici Mustafa , Sahin Idris , Gokcay Bek Sibel , Yilmaz Murvet , Koyuncu Sumeyra , Karahisar Sirali Semahat , Ural Zeynep , Dursun Belda , Yuksel Enver , Uzun Sami , Sipahi Savaş , Ahbap Elbis , Artan Ayse Serra , Altunoren Orcun , Tunca Onur , Ayar Yavuz , Gok Oguz Ebru , Yilmaz Zulfukar , Kahvecioglu Serdar , Asicioglu Ebru , Oruc Aysegul , Altiparmak Mehmet Riza , Aydin Zeki , Huddam Bulent , Dolarslan Murside Esra , Azak Alper , Bakırdogen Serkan , Yalcin Ahmet Ugur , Karadag Serhat , Ulu Memnune Sena , Gungor Ozkan , Ari Bakir Elif , Odabas Ali Rıza , Seyahi Nurhan , Yildiz Alaattin , Ates Kenan
Published: September 2022

Introduction: We aimed to study the characteristics of peritoneal dialysis (PD) patients with coronavirus disease-19 (COVID-19), determine the short-term mortality and other medical complications, and delineate the factors associated with COVID-19 outcome. Methods: In this multicenter national study, we included PD patients with confirmed COVID-19 from 27 centers. The baseline demographic, clinical, laboratory, and radiological data and outcomes at the end of the first month were recorded. Results: We enrolled 142 COVID-19 patients (median age: 52 years). 58.2% of patients had mild disease at diagnosis. Lung involvement was detected in 60.8% of patients. Eighty-three (58.4%) patients were hospitalized, 31 (21.8%) patients were admitted to intensive care unit and 24 needed mechanical ventilation. Fifteen (10.5%) patients were switched to hemodialysis and hemodiafiltration was performed for four (2.8%) patients. Persisting pulmonary symptoms (n = 27), lower respiratory system infection (n = 12), rehospitalization for any reason (n = 24), malnutrition (n = 6), hypervolemia (n = 13), peritonitis (n = 7), ultrafiltration failure (n = 7), and in PD modality change (n = 8) were reported in survivors. Twenty-six patients (18.31%) died in the first month of diagnosis. The non-survivor group was older, comorbidities were more prevalent. Fever, dyspnea, cough, serious-vital disease at presentation, bilateral pulmonary involvement, and pleural effusion were more frequent among non-survivors. Age (OR: 1.102; 95% CI: 1.032–1.117; p: 0.004), moderate-severe clinical disease at presentation (OR: 26.825; 95% CI: 4.578–157.172; p < 0.001), and baseline CRP (OR: 1.008; 95% CI; 1,000–1.016; p: 0.040) were associated with first-month mortality in multivariate analysis. Discussion/Conclusions: Early mortality rate and medical complications are quite high in PD patients with COVID-19. Age, clinical severity of COVID-19, and baseline CRP level are the independent parameters associated with mortality.
A Randomized Phase 2 Study of 5-Aminolevulinic Acid Hydrochloride and Sodium Ferrous Citrate for the Prevention of Nephrotoxicity Induced by Cisplatin-Based Chemotherapy of Lung Cancer
Authors: Kawamura Kodai , Matsushima Hidekazu , Sakai Hiroshi , Iwashima Akira , Nakamura Sukeyuki , Kojima Tohru , Sasaki Shinichi , Shigenaga Takehiko , Natsume Ichiro , Sasaki Takaaki , Ohsaki Yoshinobu , Iwanaga Kentaro , Nishi Koichi , Mitsuishi Yoichiro , Taniguchi Hirokazu , Sato Kazuhiro , Yamauchi Mitsugu , Nakajima Motowo , Takahashi Kazuhisa
Published: September 2022

Introduction: Cisplatin-based chemotherapy was established in the 1980s, and it has been improved by the development of a short hydration protocol in lung cancer therapy. However, cisplatin-based chemotherapy is still associated with renal toxicity. Because 5-aminolevulinic acid (5-ALA) with sodium ferrous citrate (SFC) is known to be a mitochondrial activator and a heme oxygenase-1 (HO-1) inducer, 5-ALA with SFC is speculated to mitigate cisplatin-induced renal inflammation. Methods: We investigated the effects of oral administration of 5-ALA with SFC for preventing cisplatin-based nephrotoxicity in patients with lung cancer and evaluated its benefits for patients who received cisplatin-based chemotherapy. The primary endpoint was the significance of the difference between the serum creatinine (sCr) levels of the patients administered 5-ALA with SFC and those given placebo after course 1 of chemotherapy. The difference in the estimated glomerular filtration rate (eGFR) between the two groups was also evaluated as the secondary endpoint. Results: The double-blind, randomized two-arm studies were conducted at 15 medical facilities in Japan; 54 male and 20 female patients with lung cancer who received cisplatin-based chemotherapy between the ages of 42 and 75 years were included in the study. The compliance rate was greater than 94% in the primary assessment and subsequent drug administration periods. All enrolled patients completed the four cycles of cisplatin-based chemotherapy with short hydration. The average level of sCr on day 22 of course 1 was 0.707 mg/dL in the group treated with 5-ALA and SFC and 0.735 mg/dL in the placebo group, respectively, and the sCr in the test group was significantly lower than that in the placebo group (p = 0.038). In addition, the eGFR was significantly higher in the SPP-003 group than in the placebo group up to day 1 of course 3 (84.66 and 75.68 mL/min/1.73 m2, respectively, p = 0.02) and kept better even after the last administration of the study drug (82.37 and 73.49 mL/min/1.73 m2, respectively, p = 0.013). Conclusions: The oral administration of 5-ALA with SFC is beneficial to patients undergoing cisplatin-based chemotherapy for lung cancer with short hydration.
Ingestão cáustica pediátrica em Minas Gerais – Brasil: um estudo observacional do Hospital Universitário de Uberlândia
Authors: Santos Ana Flavia Ferreira dos , Pereira Monique Arantes , Kock Tatyana Borges Cunha , Oliveira Ana Luísa Guedes de , Morais Ana Paula Pereira de , Santos Camila Amaro Guedes , Moisés Fernanda Miranda , Carmo Guilhane Maria Magalhães Assunção do , Valente Hiléia Carolina de Oliveira , Castro Isadora Barbosa , Gonçalves João Pedro Rodrigues , Faria Larissa Fernanda de Deus , Terence Leonardo Tsuchida , Rodrigues Marina de Lima , Rocha Máyra Bernardes , Lima Nathaniel Lucas Soares , Oliveira Suzenkelly Lúcia de , Souza Talissa Gomes Silva de , Baccega Thaís de Melo , Silva William Nicoleti Turazza da , Rezende Erica Rodrigues Mariano de Almeida , Barros Cristina Palmer
Published: September 2022

Introdução: Crianças menores de cinco anos são as principais vítimas de acidentes por ingestão de cáusticos, assim considerando a epidemiologia brasileira e dos riscos à exposição desses agentes ressalta-se a importância deste estudo que objetiva realizar uma análise descritiva dos casos de acidentes cáusticos em pacientes pediátricos atendidos em um hospital universitário de Minas Gerais. Método: Este é um estudo transversal descritivo, de caráter quantitativo, a partir dos dados obtidos de prontuários de pacientes pediátricos (0-13 anos) atendidos por ingestão de substâncias cáusticas, no Hospital de Clínicas da Universidade Federal de Uberlândia (Minas Gerais, Brasil). Resultados: Foram levantados 132 prontuários de crianças atendidas por ingestão de substâncias cáusticas de janeiro de 2011 a abril de 2018. Os acidentes acometeram crianças na faixa etária de 08 meses a 12 anos, sendo que 82,60% dos casos ocorreram em ambiente domiciliar. Entre as principais substâncias ingeridas estão os produtos de limpeza, quanto à sua composição química predominaram soda cáustica, hipoclorito de sódio e amoníaco. A endoscopia digestiva alta (EDA) foi realizada em 104 pacientes. Quase 13% das crianças apresentaram estenose esofágica e necessitaram de dilatação esofágica. No período estudado, foram realizados 296 procedimentos de dilatações, com média de 17,4 procedimentos por paciente. Discussão: Considerando que os acidentes cáusticos são prevalentes em crianças menores de cinco anos e em ambiente domiciliar, as principais substâncias ingeridas são aquelas de caráter alcalino, que causam lesão no trato respiratório e gastrointestinal, sendo a principal consequência a estenose esofágica. Ademais, não há protocolos bem definidos para o manejo e a condução de pacientes que fizeram a ingestão dessas substâncias. As principais limitações do estudo foram o preenchimento incompleto dos prontuários analisados e os trâmites burocráticos para o acesso aos mesmos. Conclusão: Predominaram os acidentes cáusticos domiciliares e em crianças menores de 2 anos, o que implica a necessidade de ações educativas e preventivas.
The music of 2001: A Space Odyssey and the sublime object of cinema
Authors: Groppo Pedro
Published: September 2022

A notable stylistic element of 2001: A Space Odyssey (1968) is the innovative use of classical music, which, isolated from dialogue or sound effects, possesses an autonomous dimension of meaning. Borrowing Michel Chion’s concept of “anempathetic music”, we posit that two musical pieces—the Also sprach Zarathustra fanfare and the Blue Danube waltz—have very specific narrative and formal functions, to be analyzed here in terms of Lacan’s concepts of the imaginary and the symbolic, the gaze, suture, spectatorship, and the Kantian sublime. We aim to address and build on Annette Michelson’s formulation, in her seminal criticism, that 2001 is a film of cognitive restructuring and redefinition of cinema’s “shape of content”, through the role of music.