bluuebunny/crossref_metadata_2025 huggingface dataset:
Building Global Societies on Collective Intelligence: Challenges and Opportunities
Authors: Suran Shweta , Pattanaik Vishwajeet , Kurvers Ralf , Hallin Carina Antonia , De Liddo Anna , Krimmer Robert , Draheim Dirk
Published: October 2022

Digital disruptions caused by the use of technologies like social media arguably present a formidable challenge to democratic values and in turn to collective intelligence. Challenges such as misinformation, partisan bias, polarization, and rising mistrust in institutions (including mainstream media) present a new constant threat to collectives both online and offline—amplifying the risk of turning ‘wise’ crowds ‘mad’ and rendering their actions counterproductive. Considering the increasingly important role crowds play in solving today’s socio-political, technological, and economical issues, and in shaping our future, it is vital to protect crowd-oriented systems against such disruptions. In this commentary, we identify time-critical challenges and potential solutions from emerging work on diversity, transparency, collective dynamics, and machine behavior that require urgent attention if future collective intelligence systems are to sustain their indispensable role as global deliberation instruments.
Effects of Oxygen Content during Heat Treatment on Properties of Solution-Processed Cu2O-αFe2O3 Composite for Supercapacitor Application
Authors: Lin Hwai En , Uemura Michihiko , Kubota Yuta , Katayanagi Yuta , Kishi Tetsuo , Kiguchi Takanori , Watanabe Tomoaki , Yano Tetsuji , Matsushita Nobuhiro
Published: October 2022

The Cu2O-αFe2O3 composite film was heated in air (FC-A), O2 (FC-O) and vacuum (FC-V) respectively to investigate the effects of heat-treated conditions on the material and electrochemical characteristics. As a result, the heat treatment did not significantly affect the morphology but the grain size and crystal phase of the materials. In accordance with the oxygen content in the heat treatment environment, the heat-treated composite films performed as a mixed phase containing mainly CuFe2O4, parts of αFe2O3 (relatively high O2 content) and Cu-Sn alloy (low O2 content). With tuning the oxygen content in/on the crystal lattice of CuFe2O4 and αFe2O3, the energy storage mechanism of the composite electrode could be modified from the comprehensively capacitive and pseudocapacitive effects to an independent EDLC behavior. Compared with the FC-O and FC-V electrodes, the FC-A electrode presented a better capacitance retention (1.8% capacitance loss up to 2,000 cycles) and the highest specific capacitance (176.2 F·g−1 at 0.5 mA·cm−2). The outstanding performance can be ascribed to its lower charge transfer resistance, the porous feature having faster ion transportation efficiency and the additional pseudocapacitance provided by the Faradaic redox reaction.
Investigating the Role of the Triple-Phase Boundary in Zinc-Air Cathodes Using Pore Network Modeling
Authors: Misaghian Niloofar , Sadeghi Mohammad Amin , Roberts Edward , Gostick Jeff
Published: October 2022

Zinc-air flow batteries are a promising energy storage technology. Their performance depends on their porous cathodes where the oxygen reduction reaction (ORR) occurs. A key feature of the cathode is the invasion of electrolyte, creating the so-called triple phase boundary between air, electrolyte and catalyst, which is shown in this work to be an overly simplified picture. In this study a mathematical framework based on pore network modeling (PNM) was developed to better understand the interplay between electrode structure, transport of species and electrolyte invasion. The results suggest that increasing electrolyte volume provides highly branched invasion pattern and enhances performance up to a saturation of

0.7
,

whereas further invasion reduces air-liquid interfacial area and lowers the performance. Interestingly, at lower saturations (<0.3) the liquid structure is so excessively branched that hydroxide ions are unable to diffuse to the anode at a sufficient rate, resulting in supersaturation, which is a degradation problem. The pore size distribution of the catalyst layer also affects the performance with wider pore size distributions generally performing better. This work represents the first 3D PNM of a zinc-air cathode that includes all the key physics and transport mechanisms, enabling prediction of the structure-performance relationship of porous cathodes.
Low-Voltage Operation and Lithium Bis(fluorosulfonyl)imide Electrolyte Salt Enable Long Li-Ion Cell Lifetimes at 85 °C
Authors: Taskovic T. , Eldesoky A. , Aiken C. P. , Dahn J. R.
Published: October 2022

LiFePO4/graphite (LFP), Li[Ni0.5Mn0.3Co0.2]O2/graphite (NMC3.8 V, balanced for 3.8 V cut-off), and Li[Ni0.83Mn0.06Co0.11]O2/graphite (Ni83, balanced for 4.06 V cut-off) cells were tested at 85 °C. Three strategies were used to improve cell lifetime for all positive electrode materials at 85°C. First, low voltage operation (<4.0 V) was used to limit the parasitic reactions at the positive electrode. Second, LiFSI (lithium bis(trifluoromethanesulfonyl)imide) was used as the electrolyte salt for its superior thermal stability over LiPF6 (lithium hexafluorophosphate). The low voltage operation avoids the aluminum corrosion seen at higher voltages with LiFSI. NMC3.8 V cells were operated at 6 C charge and 6 C discharge without issue for 2500 cycles and then moved to room temperature where normal operation was obtained. Finally, dimethyl-2,5-dioxahexane carboxylate (DMOHC) was used as a sole electrolyte solvent or mixed with dimethyl carbonate. μ-XRF data showed no detectable levels of transition metal deposition on the negative electrode of Ni83 and LFP cells, and DMOHC cells showed less gassing after testing compared to EC-based electrolytes. We found incredible capacity retention and cycle life for Ni83 and NMC3.8 V cells using DMOHC and LiFSI at 70 °C and at 85 °C in tests that ran for more than 6 and 5 months (and are still running), respectively.
[Retracted] New Algorithm of Traditional Chinese Medicine and Protection of Intangible Cultural Heritage Based on Big Data Deep Learning
Authors: Li Yanwei , Liu Ying , Wen Yulong
Published: October 2022

Traditional Chinese medicine (TCM) is a summary of the diagnosis and treatment experience formed by the working people in the long‐term struggle against diseases, so it is very important to protect the intangible cultural heritage of TCM. How to extract valuable knowledge accurately and conveniently from the massive medical records of TCM is one of the important issues in the current research on the development of TCM. Due to the large amount of data of TCM medical records, many feature attributes, and diverse patterns, the existing classification technology has high computational complexity, low mining efficiency, and poor universality. Therefore, this paper proposed to quantify the medical records of TCM and obtained the main symptoms according to the improved hierarchical clustering feature selection algorithm. This paper also proposed a support vector machine (SVM) classification method using improved particle swarm algorithm to classify TCM information, which not only improves the efficiency and accuracy of TCM information classification but also discovers the potential dialectical and symptom patterns in diagnosis and treatment, so that the intangible cultural heritage protection of TCM can be developed sustainably. This paper showed that the information acquisition accuracy of the improved algorithm was very high. Before the improved algorithm was used, the accuracy of information mining for TCM was 67.90% at the highest and 65.53% at the lowest, but after using the improved algorithm, the accuracy rate of information mining for TCM was 88.02% at the highest and 82.45% at the lowest. It can be seen that using the improved algorithm to mine TCM information can quickly process effective information.
Security Situation Awareness Assessment of Heterogeneous Cyber-Physical Systems in Multiple Load Mode
Authors: Yang Xing , Xie Ziyi , Qian Zhen , Zhang Xuhong , Zhao Dandan , Wu Songyang , Peng Hao , Zhu Dongtao , Liang Zhenyu
Published: October 2022

As the Internet of Things technology develops rapidly, cyber-physical systems (CPSs) have provided critical technologies in the industrial field. A smart grid is a typical application of the CPS, which is formed by the coupling of the power network and communication network. In general, the two networks are heterogeneous. Considering the characteristics of the power network, the ordinary percolation network model is not suitable for the network carrying physical flow. Therefore, we propose an interdependent network model with a load. That is, nodes in the physical network have loaded. Then, we research the security of CPS under the multi-load mode. The rule for node failure is different from the percolation model. When a node’s load exceeds its capacity, the node fails. Through the theoretical analysis, we obtained the iterative equation of the percolation threshold and analyzed it through simulation experiments. We adopt both linear and nonlinear capacity models. It is found that appropriately increasing the average degree of ER network can improve its ability to resist attacks. In contrast, the power exponent of the SF network has less influence on the critical value of network percolation. In addition, we found that increasing the capacity parameter in the linear capacity model can improve the robustness of the network, where the variation of the ER-ER network is more evident than that of the SF-SF network. Increasing the capacity parameter in the nonlinear capacity model can significantly increase the network’s ability to resist attacks. However, due to the increase in economical cost, we can improve the network’s reliability by increasing the node capacity while controlling the cost.
Attention-Deficit Hyperactivity Disorder and Comorbid Mental Health Conditions Associated with Increased Risk of Injury
Authors: Merrill Ray M. , Merrill Andrew W. , Madsen Miranda
Published: October 2022

Background. To describe the influence of attention-deficit hyperactivity disorder (ADHD) and comorbid mental health conditions on the risk of selected injuries. Methods. A retrospective cohort study design was employed using medical claim data from the Deseret Mutual Benefit Administrators (DMBA). Mental health conditions, injury, medication, and demographic data were extracted from claim files for ages 4-64, years 2016-2020. Results. Approximately 51.8% of individuals with ADHD had one or more comorbid mental health conditions (anxiety [37.0%], depression [29.9%], autism spectrum disorder (ASD) [3.6%], bipolar disorder [4.7%], obsessive compulsive disorder (OCD) [2.4%], schizophrenia [0.9%], and manic disorder [0.2%]). The rate of injury was 1.33 (95% CI 1.27–1.39) for ADHD only versus no ADHD and 1.62 (95% CI 1.56–1.68) for ADHD and comorbid mental health conditions versus no ADHD, after adjusting for age, sex, salary, and year. Cases with ADHD but no comorbid mental health conditions versus no ADHD were at increased risk of each of 12 types of injury. The increased risk was noticeably more pronounced for ADHD cases with one or more comorbid mental health conditions versus no ADHD. The greatest increased risk of injury was among ADHD cases with comorbid schizophrenia, followed by bipolar disorder and OCD. Comorbid autism disorder does not increase the risk of injury, but lowers it. Finally, the number of comorbid mental health conditions among ADHD cases was positively associated with increased injury rates (6% for one, 30% for two, 65% for three, and 129% for four). Conclusions. ADHD is positively associated with an increased risk of injury. Comorbid mental health conditions further increase the risk of injury among those with ADHD.
Clinical Application of Anlotinib Combined with Docetaxel: Safe and Effective Treatment for Lung Carcinoma
Authors: Ji Xiang , Jing Xin , Liu Yongshi , Huang Jiangbo , Yang Sanhu , Yun Yuhui
Published: October 2022

Objective. To compare the clinical efficacy and long-term survival between anlotinib monotherapy and anlotinib plus docetaxel in patients with lung carcinoma. Methods. Between October 2019 and December 2021, 84 patients with lung cancer diagnosed and treated at our hospital were enrolled and randomly allocated to the control (

n
=
42

) and experimental (

n
=
42

) groups. Patients in the control group only received anlotinib, whereas those in the experimental group were administered both anlotinib and docetaxel. The clinical effectiveness, long-term survival, and other associated variables of the two groups were compared. Results. There were no CR cases, 7 PR cases, 22 SD cases, and 13 PD cases in the control group. In the experimental group, there were 4 cases of CR, 20 cases of CR, 11 cases of SD, and 7 cases of PD. The overall clinical effectiveness of the experimental group was much higher than that of the control group. There were 3 cases of anemia, 5 cases of pyrexia, 6 cases of proteinuria, 9 cases of nausea and vomiting, and 4 cases of abnormal liver and renal function in the control group. (

P
<
0.05

). In the experimental group, there were 2 cases of anemia, 3 cases of pyrexia, 1 case of proteinuria, 5 cases of nausea and vomiting, and 1 case of abnormal liver and kidney function. The incidence of adverse reactions in the experimental group was significantly lower than in the control group (64.29%) (

P
<
0.05

). According to the two-year follow-up results, the survival rate was 19.05% in the control group and 54.76% in the experimental group, and the mortality rate was 80.95% in the control group and 45.24% in the experimental group. The experimental group had a significantly higher survival rate than the control group (

P
<
0.05

). Conclusion. Anlotinib combined with docetaxel is a safe and effective treatment for lung carcinoma to reduce the incidence of adverse reactions and improve the long-term survival rate. These benefits make it worthy of a broader clinical application. Although pharmacological treatment was applied in this study based on the mechanism, specific bioeffective markers are yet to be identified, presenting a direction for future research.
[Retracted] Development of Deep Learning Technique of Features for the Analysis of Clinical Images Integrated with CANN
Authors: Kasinathan Prabakaran , Prabha R. , Sabeenian R. S. , Baskar K. , Ramkumar A. , Alemayehu Samson
Published: October 2022

Computer tomography is an extensively used method for the detection of the disease in the subjects. Basically, computer‐aided tomography depending on the artificial intelligence reveals its significance in smart health care monitoring system. Owing to its security and the private issue, analyzing the computed tomography dataset has become a tedious process. This study puts forward the convolutional autoencrypted deep learning neural network to assist unsupervised learning technique. By carrying out various experiments, our proposed method produces better results comparative to other traditional methods, which efficaciously solves the issues related to the artificial image description. Hence, the convolutional autoencoder is widely used in measuring the lumps in the bronchi. With the unsupervised machine learning, the extracted features are used for various applications.
An Analysis of the Operation Factors of Three PSO-GA-ED Meta-Heuristic Search Methods for Solving a Single-Objective Optimization Problem
Authors: Fozooni Ali , Kamari Osman , Pourtalebiyan Mostafa , Gorgich Masoud , Khalilzadeh Mohammad , Valizadeh Amin
Published: October 2022

In this study, we evaluate several nongradient (evolutionary) search strategies for minimizing mathematical function expressions. We developed and tested the genetic algorithms, particle swarm optimization, and differential evolution in order to assess their general efficacy in optimization of mathematical equations. A comparison is then made between the results and the efficiency, which is determined by the number of iterations, the observed accuracy, and the overall run time. Additionally, the optimization employs 12 functions from Easom, Holder table, Michalewicz, Ackley, Rastrigin, Rosen, Rosen Brock, Shubert, Sphere, Schaffer, Himmelblau’s, and Spring Force Vanderplaats. Furthermore, the crossover rate, mutation rate, and scaling factor are evaluated to determine the effectiveness of the following algorithms. According to the results of the comparison of optimization algorithms, the DE algorithm has the lowest time complexity of the others. Furthermore, GA demonstrated the greatest degree of temporal complexity. As a result, using the PSO method produces different results when repeating the same algorithm with low reliability in terms of locating the optimal location.
Strong Convergence of Krasnoselskii–Mann Process for Nonexpansive Evolution Families
Authors: Shah Musharaf , Rahmat Gul , Ali Shah Syed Inayat , Shah Zahir , Deebani Wejdan
Published: October 2022

This article is about investigating Krasnoselskii and Mann’s convergence theorems for nonexpansive evolution family with Bochner integral and without convexity of Banach space. We introduced a general form of these results that extends these results to general form of semigroup called evolution families.
4-Carbomethoxyl-10-Epigyrosanoldie E Extracted from Cultured Soft Coral Sinularia sandensis Induced Apoptosis and Autophagy via ROS and Mitochondrial Dysfunction and ER Stress in Oral Cancer Cells
Authors: She Yun-Ying , Lin Jen-Jie , Su Jui-Hsin , Chang Ting-Shou , Wu Yu-Jen
Published: October 2022

Oral cancer is a malignant neoplasia that is more common in Asian than other regions, and men are at higher risk than women. Currently, clinical treatment for oral cancer consists of radiation therapy combined with chemotherapy. Therefore, it is important to find a drug that can inhibit the growth of cancer cells more effectively and safely. In this study, we examined the cytotoxicity of 4-carbomethoxyl-10-epigyrosanoldie E extracted from cultured soft coral Sinularia sandensis towards oral cancer cells. MTT cell proliferation and colony formation assays were used to evaluate cell survival, and immunofluorescence staining and Western blotting were employed to analyze the effects of 4-carbomethoxyl-10-epigyrosanoldie E on apoptosis and autophagy. 4-Carbomethoxyl-10-epigyrosanoldie E treatment also induced the formation of reactive oxygen species (ROS), which are associated with 4-carbomethoxyl-10-epigyrosanoldie E-induced cell death. In addition, the 4-carbomethoxyl-10-epigyrosanoldie E-induced antiproliferation effects on Ca9-22 and Cal-27 cells were associated with the release of cytochrome c from mitochondria, activation of proapoptotic proteins (such as caspase-3/-9, Bax, and Bad), and inhibition of antiapoptotic proteins (Bcl-2, Bcl-xl, and Mcl-1). 4-Carbomethoxyl-10-epigyrosanoldie E treatment also triggered endoplasmic reticulum (ER) stress, leading to activation of the PERK/elF2α/ATF4/CHOP apoptotic pathway. Moreover, increased expressions of Beclin-1, Atg3, Atg5, Atg7, Atg12, Atg 16, LC3-I, and LC3-II proteins indicated that 4-carbomethoxyl-10-epigyrosanoldie E triggered autophagy in oral cancer cells. In conclusion, our findings demonstrated that 4-carbomethoxyl-10-epigyrosanoldie E suppressed human oral cancer cell proliferation and should be further investigated with regard to its potential use as a chemotherapy drug for the treatment of human oral cancer.
Estimation of Parameters on Probability Density Function Using Enhanced GLUE Approach
Authors: Alduais Fuad S. , Sayed-Ahmed Neveen
Published: October 2022

The most essential process in statistical image and signal processing is the parameter estimation of probability density functions (PDFs). The estimation of the probability density functions is a contentious issue in the domains of artificial intelligence and machine learning. The study examines challenges related to estimating density functions from random variables. Based on minimal predictions regarding densities, the study discusses a framework for evaluating probability density functions. During the Bayesian approach, which is to generate correct samplings that reflect the probability aspect of the variables, sampling is widely used to estimate as well as define the probabilistic model of unknown variables. Because of its effectiveness and extensive application, the generalized likelihood uncertainty estimation (GLUE) method has earned the most popularity among the various methodologies. The Bayesian technique allows parameters of the model to be estimated using prior expertise in the parameter results and experimental observations. The study uses a number of engineering issues that were lately looked into to illustrate the effectiveness of the upgraded GLUE. As the focus is on the examination of sampling effectiveness in view of engineering components, only a brief summary is provided to describe every challenge. The suggested GLUE method’s outcomes are contrasted with those obtained using MCMC. Nevertheless, using the GLUE approach, the model’s mean squared error of prediction is substantially higher than that of the previous algorithms. The methods’ results are affected by the assumptions being made on parameter values in advance. The concepts of prediction accuracy, as well as the utility of geometric testing, are presented. Such notions are valuable in demonstrating that the GLUE approach defines an inconsistent and incoherent statistical inference process.
Formal  Model and Analysis for the Random Event in the Intelligent Car with Stochastic Petri Nets and Z
Authors: Liu Yang , Fan Yingqi , Huang Darong , Mi Bo , Huang Liyuan
Published: October 2022

With the continuous development of science and technology, people’s lifestyle becomes more and more intelligent, especially in intelligent transportation. However, running in a random environment, safety can be affected by various factors during operation. For an intelligent car, guaranteeing its safety in operation is important to the passengers in the vehicle. So, it is vital to verify the safety of the system of the smart car. This study proposes an integration formal method with stochastic Petri nets and Z (SPZN). Stochastic Petri nets can better simulate the occurrence of random events in the driving process of intelligent cars. With the advantages of the frame structure of Z language, the concurrent process and state before and after the system at different times can be better described. In addition, the frame structure of Z language can solve the problem of state explosion in Petri nets. Using this method, the random events that may occur during the operation can be formally modeled, and the subsequent behavior of the vehicle can be analyzed and predicted effectively. Using the reinforcement learning, the parameter

λ

in the stochastic Petri nets can be optimized, which can reduce the probability of bad states and ensure the stability and security of the system. Moreover, a case study of the intelligent car modeled by stochastic Petri nets and Z is given. The results show that it can improve the safety and effectiveness of the smart vehicle driving system.
Application Value of NT-proBNP Combined with NLR in Evaluation of Major Adverse Cardiac Events in Elderly Patients with Chronic Heart Failure
Authors: Li Zhiyong , Rong Hui , Wu Wenxun , Huang Ting , Xu Jun
Published: October 2022

Objective. To explore the application value of N-terminal pro-B type natriuretic peptide (NT-proBNP) combined with neutrophil-to-lymphocyte ratio (NLR) in evaluation of major adverse cardiac events (MACEs) in elderly patients with chronic heart failure (CHF). Methods. 50 CHF patients admitted to the Department of Cardiovascular Medicine of our hospital from January 2021 to December 2021 were selected as the observation group. Another 50 non-CHF patients of our hospital were selected as the control group. Clinical data were collected from subjects who met the inclusion criteria, including general information, personal disease history, and laboratory test indicators. Patients with CHF were followed up for 6 months. Patients with CHF were divided into two groups, MACE group and non-MACE group. Results. The levels of WBC, NEU, NLR, and NT-proBNP in observation group were higher than those in control group, but the level of LYM was the opposite (

P
<
0.05

). The age, WBC, NEU, LYM, PLT, blood glucose, NLR, and NT-proBNP of MACE group and non-MACE group were significantly different (

P
<
0.05

). The increased levels of NEU, NLR, NT-proBNP and the decreased levels of LYM and PLT are all independent risk factors for MACE in elderly patients with CHF (

P
<
0.05

). The AUC of NLR in evaluating the occurrence of MACE in elderly CHF patients was 0.841. When the Youden index was 0.7692, the sensitivity was 76.92% and the specificity was 100.00%. The AUC of NT-proBNP in evaluating the occurrence of MACE in elderly CHF patients was 0.705. When the Youden index was 0.5260, the sensitivity was 76.92% and the specificity was 75.68%. The AUC of NT-proBNP combined with NLR in evaluating the occurrence of MACE in elderly CHF patients was 0.954. When the Youden index was 0.8420, the sensitivity was 92.31% and the specificity was 91.89%. Conclusion. NT-proBNP combined with NLR has high value in the evaluation of MACE in elderly CHF patients and can be used as an auxiliary predictive index in clinic.
Effects of the Implementation of an Emergency Surgical Pattern in Patients with Rhegmatogenous Retinal Detachment: A Retrospective Observational Study
Authors: Chen Ziye , Gao Kai , Lai Kunbei , Zheng Wenbin , Li Jizhu , Liu Yaping , Liu Baoyi , Wei Xiaoyue , Ma Yuan , Chen Zitong , Tuxun Rebiya , Li Tao
Published: October 2022

Background. To analyze the effects of the implementation of emergency surgical patterns in patients with rhegmatogenous retinal detachment (RRD) and provide evidence for promoting emergency surgical patterns for RRD. Methods. We reviewed the electronic medical records of 346 patients (348 eyes) who underwent surgical repair of RRD at the Zhongshan Ophthalmic Center in Southern China. A total of 140 patients (140 eyes) in the routine inpatient surgery group were collected at the fundus disease department between January 2019 and December 2019, and 206 patients (208 eyes) in the emergency surgery group were collected at the ophthalmic emergency department between January 2021 and December 2021. Demographics, best-corrected visual acuity (BCVA) expressed as the logarithm of the minimum angle of resolution (logMAR), the status of the macula before surgery, time to presentation, treatment interval, and postoperative BCVA measured at least three months follow-up were compared. Results. The preoperative BCVA (logMAR) of the emergency surgery group and the inpatient surgery group were 1.0 (0.4–1.7) and 1.4 (0.7–1.7), respectively, with significant differences between groups (

P
<
0.001

). However, patients had a shorter time to presentation (7 days vs. 21 days,

P
<
0.001

), shorter treatment interval (2 days vs. 12 days,

P
<
0.01

), and significantly better postoperative BCVA (logMAR 0.5 vs. logMAR 1.0,

P
<
0.001

) in the emergency surgery group than in the inpatient surgery group. There was no significant difference in primary anatomical success between the two groups (

P
=
0.802

). The median follow-up for the emergency surgery group and the inpatient surgery group were 6.08 months and 6.2 months, respectively, with no significant differences (

P
>
0.05

). Conclusions. Patients who underwent emergency surgical patterns of RRD had better visual outcomes after surgery than patients with routine inpatient surgery, which might be attributed to a shorter duration, shorter treatment interval, and the preoperative status of the macula in the emergency surgery pattern. Emergency surgical patterns for RRD should be considered to achieve better surgical outcomes in suitable patients.
Feasibility and Safety of a Combined Metabolic Strategy in Glioblastoma Multiforme: A Prospective Case Series
Authors: Phillips M. C. L. , Leyden J. , McManus E. J. , Lowyim D. G. , Ziad F. , Moon B. G. , Haji Mohd Yasin N. A. B. , Tan A. , Thotathil Z. , Jameson M. B.
Published: October 2022

Background. Glioblastoma multiforme (GBM) may be susceptible to metabolic strategies such as fasting and ketogenic diets, which lower blood glucose and elevate ketones. Combining these two strategies may be an ideal approach for sustaining a potentially therapeutic glucose ketone index (GKI). In this prospective case series, we observed whether a combined metabolic strategy was feasible, safe, and capable of sustaining a GKI <6 in patients with GBM. Methods. We provided recommendations and guidelines to 10 GBM patients at various stages of tumour progression and treatment that enabled them to complete a 5–7-day fast every 1–2 months combined with a modified ketogenic diet during the intervening weeks. Patients monitored their blood glucose and ketone levels and body weight. Adverse effects were assessed. Results. Patients completed a mean of 161 ± 74 days of the combined metabolic strategy, with 34 ± 18 (21%) days of prolonged fasting (mean fast duration: 6.0 ± 1.4 days) and 127 ± 59 (79%) days on the ketogenic diet. The mean GKI for all 10 patients was 3.22 (1.28 during the fasts, 5.10 during the ketogenic diet). Body weight decreased by 8.4 ± 6.9 kg (11.2% decrease in baseline weight). The most common adverse effects attributed to the fasts and ketogenic diet were fatigue, irritability, and feeling lightheaded. The metabolic strategy did not interfere with standard oncological treatments. Conclusion. This is the first study to observe the feasibility and safety of repeated, prolonged fasting combined with a modified ketogenic diet in patients with GBM. Using minimal support, patients maintained the combined metabolic strategy for 5–6 months while sustaining a potentially therapeutic mean GKI of 3.22. Weight loss was considerable. Adverse effects attributed to the metabolic strategy were mild, and it did not interfere with standard oncological treatments. Study Registration: This study is registered on the Australia New Zealand Clinical Trials Registry, number ACTRN12620001310954. The study was registered on 4 December 2020.
Novel Early Termination Method of an ADMM-Penalized Decoder for LDPC Codes in the IoT
Authors: Wang Biao
Published: October 2022

As a critical communication technology, low-density parity-check (LDPC) codes are widely concerned with the Internet of things (IoT). To increase the convergence rate of the alternating direction method of multiplier (ADMM)-penalized decoder for LDPC codes, a novel early termination (ET) method is presented by computing the average sum of the hard decision (ASHD) during each ADMM iteration. In terms of the flooding scheduling and layered scheduling ADMM-penalized decoders, the simulation results show that the proposed ET method can significantly reduce the average number of iterations at low signal-to-noise ratios (SNRs) with negligible decoding performance loss.
[Retracted] Study on Intelligent Traditional Chinese Medicine Fumigation for Treating Lumbar Intervertebral Disc Herniation Based on Medical Big Data Mining
Authors: Zhao Jirong , Zhang Ping , Gao Guodong
Published: October 2022

With the improvement of the traditional Chinese medicine fumigation (TCMF), more and more people are studying lumbar intervertebral disc herniation (LIDH) by TCMF. In order to clarify the thermodynamic mechanism of TCMF to LIDH and provide a model reference for individualized diagnosis, the lower control system is compiled by the microprocessor, and the upper control system is compiled by computer technology of VB. In this new system, the medical information of patients is recorded in the databases by the upper control system, and clinical diagnosis and treatment experience are packaged in the lower control system. The simulation results and clinical examples show that the new control system of TCMF has better clinical efficacy for LIDH patients, which not only effectively improves the pain symptoms of LIDH patients but is also economical and safe.
Tumor-Derived Exosomal miR-29b Reduces Angiogenesis in Pancreatic Cancer by Silencing ROBO1 and SRGAP2
Authors: Wang Lihua , Yang Lei , Zhuang Tingting , Shi Xiuqing
Published: October 2022

Background. Exosomal miR-29b reportedly plays a role during cancer metastasis. However, its exact function and underlying mechanism during pancreatic cancer (PC) have not been investigated. Methods. Exosomes from PC cells were prepared and identified. Transmission electron microscopy (TEM) and confocal microscopy were used to examine structural characteristics of the exosomes and verify their internalization by human umbilical vein endothelial cells (HUVECs). The tube formation and migration abilities of HUVECs were detected. VEGF content was assessed by ELISA. GW4869 was used to suppress exosome release. Luciferase reporter assays were performed to verify the predicted interaction of miR-29b with ROBO1 and SRGAP2 mRNA. Results. Exosomal miRNA-29b was differentially expressed in the conditioned medium of PC cells. Exosomes from PC cells were verified by TEM and western blotting. Treatment with the exosomal inhibitor (GW4869) prevented an increase in miR-29b expression and recused the reduced VEGF expression and tube formation and migration abilities of HUVECs cocultured with BxPC3 and AsPC-1 cells that overexpressed miR-29b. Furthermore, the downregulation of ROBO1 and SRGAP2 in cocultured HUVECs was also reduced after additional treatment with GW4869. After incubation with miR-29b exosomes, HUVECs had lower VEGF concentrations and reduced migration and tube formation rates; however, those effects were eliminated by subsequent transfection with the miR-29b inhibitor. Luciferase reporter assays verified the interaction of miR-29b with ROBO1 and SRGAP2. That interaction was also supported by rescue assays showing that overexpression of ROBO1 and SRGAP2 also reduced the antiangiogenic effect of exosomal miR-29b in HUVECs. Conclusion. Exosomal miR-29b originating from PC cells protected HUVECs from PC cell-induced angiogenesis by attenuating ROBO1 and SRGAP2 expression. Our findings suggest a strategy for treating PC.
Perforated Gallbladder into the Abdominal Wall
Authors: Puglisi M. , Peter M. , Egger B.
Published: October 2022

Objective. Perforation of the gallbladder (PG) is a dreaded complication of an acute cholecystitis and is associated with increased morbidity and mortality. Cholecystocutaneous abscess (CCA) is an extremely rare complication. There is usually a history of cholecystolithiasis or neglected chronic gallbladder disease. We report a case of perforated gallbladder into the abdominal wall. Methods. A 65-year-old female, obese, was admitted to our department complaining of right upper quadrant abdominal pain. The diagnosis of acute cholecystitis was based on the clinical picture, laboratory test, and ultrasound findings. She was treated with oral antibiotics for 10 days and readmitted due to a painful, erythematous mass on the right subcostal region. An abdominal computed tomography showed the presence of a subparietal formation in communication with the gallbladder, and a gallbladder perforation was postulated. The treatment consisted of percutaneous drainage of the abdominal wall abscess followed by laparoscopic cholecystectomy in a two-stage protocol. Anatomical pathology analysis found chronic inflammation and excluded malignancy. The postoperative follow-up was uneventful. Discussion. This case demonstrates a very rare presentation of PG that created an abscess into the muscles of the abdominal wall. This kind of PG is rarely seen due to medicine improvements. When the conditions of the patient are good, rather than perform immediate surgery that could lead to serious complications, we propose a two-stage approach. Conclusion. CCA is a possible complication of gallbladder’s pathology that all surgeons have to know. There is no standard baseline management for this pathology, due to the few numbers of cases and to the differences in the quality of the patients’ illness. We suggest a two-stage approach with drainage of the abscess followed by laparoscopic cholecystectomy with abscess debridement.
Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches
Authors: Karthiga B. , Durairaj Danalakshmi , Nawaz Nishad , Venkatasamy Thiruppathy Kesavan , Ramasamy Gopi , Hariharasudan A.
Published: October 2022

Detecting the attacks in Vehicular Ad hoc Network (VANET) system is very important to provide more secure and reliable communication between all vehicles in the system. In this article, an effective Intelligent Intrusion Detection System (IDS) is proposed using machine learning and deep learning approaches such as Adaptive Neuro Fuzzy Inference System (ANFIS) and Convolutional Neural Networks (CNN), respectively. The existing methods focus on detecting only the known attacks in VANET environment. This limitation is overcome by proposing the Intelligent IDS system using soft computing techniques. The proposed method consists of Known IDS (KIDS) and Unknown IDS (UIDS) modules, which detect both known attacks and unknown attacks. The KIDS module uses ANFIS classification module to detect the known malicious attacks, whereas the UIDS module uses a deep learning algorithm to detect the unknown attacks in VANET. Modified LeeNET (MLNET) architecture is proposed in this article to identify the type of unknown attacks. In this work, DoS attacks, Botnet attacks, PortScan attacks, and Brute Force attacks are detected using this hybrid learning algorithm. The proposed system obtains 96.9% of Pr, 98.3% of Se, 98.7% of Sp, and 98.6% of Acc and consumed 1.75 s for detecting the DoS attack on i-VANET dataset. The proposed system obtains 98.1% of Pr, 98.9% of Se, 98.1% of Sp, and 98.1% of Acc and consumed 0.95 s for detecting the Botnet attack. The proposed system obtains 98.7% of Pr, 99.1% of Se, 98.9% of Sp, and 99.2% of Acc and consumed 1.38 s for detecting the PortScan attack. The proposed system obtains 99.1of Pr, 97.8% of Se, 98.7% of Sp, and 98.5% of Acc and consumed 1.29 s for detecting the Brute Force attack. The developed methodology is tested on the real-time CIC-IDS 2017 dataset, and the experimental results are compared with other state-of-the-art methods.
Phytochemical, Physiochemical, Macroscopic, and Microscopic Analysis of Rosa damascena Flower Petals and Buds
Authors: Abudayeh Zead Helmi , Karpiuk Uliana , Armoon Narjes , Abualassal Qais , Mallah Eyad , Hassouneh Loay Khaled , Aldalahmeh Yousef
Published: October 2022

Macroscopic and microscopic analysis of R. damascena buds and flower petals was used to find the main morphological and anatomical features of these types of medicinal plant material (MPM). The presence of polysaccharides, free and bound monosaccharides, tannins, flavonoids, saponins, and essential oils was confirmed by chemical and histochemical reactions. The quality indicator of R. damascena buds and flower petals was evaluated in this study; weight loss on drying gave the next result: 6.69 ± 0.20% for flower petals and 6.65 ± 0.13% for buds. The swelling index showed a high result for R. damascena flower petals and buds. R. damascena buds swelling index—5 ± 0.2 and R. damascenaflower petals swelling index—15 ± 0.6. The determination of volatile substances by GC/MS shows the presence of 18 volatile compounds in flower petals and buds, this number varies up to 17. Nonadecane, heneicosane, and octadecane are the main components in both medicinal plant materials. Both buds and flower petals contain approximately the same amount of citronellol. Phenylethyl alcohol is present in large amounts in buds but in small amounts in flower petals. R. damascena flower petals and buds are the sources of volatile compounds, phenols, and polysaccharides. The results of our investigation showed great differences and similarities between buds and flower petals of R. damascena. We have confirmed that not only buds but also flower petals could be a source of biologically active substances (BASs) such as essential oils, polysaccharides, and phenolic compounds. Flower petals could be an alternative MPM. We would also like to underline the importance of standard documentation for MPM: its macro and microscopic description, harvest time, control techniques of the qualitative composition, and the quantitative content of the main BAS. Because it will help in the production of various high-quality products that can be used in medicine, pharmacy, food, and the perfume industries.
[Retracted] Effects of Clopidogrel Rehabilitation on Cardiac Protein Kinase C, Cardiac Heat Shock Protein 70, and CI in MIRI Rat Model
Authors: Ma Qiaoyan , Wang Lizhong , Ma Hongyan , Cao Qian , Ma Jiagui
Published: October 2022

In order to investigate the effects of clopidogrel rehabilitation on the levels of cardiac protein kinase C (PKC), cardiac heat shock protein 70 (HSP70), and cardiac index (CI) in rats with myocardial ischemia‐reperfusion injury (MIRI), sixty Wistar rats are randomly divided into three groups (sham operation group, model group, and clopidogrel group), with 20 rats in each group. The clopidogrel group is given clopidogrel by gavage, and the sham operation group and the model group are given the same amount of normal saline by gavage. The experimental results show that compared with the model group, the clopidogrel group has clear horizontal lines and cell edema. The myocardial infarction rate, creatine kinase‐MB (CK‐MB), and malondialdehyde (MDA) of the model group and clopidogrel group in the control sham operation group significantly increase.
Optimization of GC-MS Method for Analysis of Basil Essential Oils from Algeria: Design of Experiments and Exploratory Pattern Recognition
Authors: Slougui Nabila , Slama Meriem , Boudaoud Yasser , Bendrihem Aymene Salah
Published: October 2022

An optimization procedure for multistep temperature-programmed capillary gas chromatography was developed for the analysis of basil essential oil. The current study was planned after performing the following three steps: a preliminary chromatographic study, primary parameter screening, and final method optimization by using 23 factorial and Doehlert designs (DOE). The optimized conditions were obtained by using a split ratio of

1
/
2

, a gas flow rate of 1.3 mL/min, and a heating rate of 2°C/min. This set of conditions was later used for the optimization of the final method. The optimal experimental conditions were subsequently obtained by response surface optimization (isotherm duration = 6.2 min and slope = 1.06°C/min). The compositions of essential oils from six varieties of basil (Ocimum B. (1), Ocimum B. purpurescens opal (2), Ocimum B. minimum (3), Ocimum. B. cinnamon (4), Ocimum B. (marcellas) (5), and Ocimum B. Citriodora (6)) grown in four regions of Algeria (Ouargla, south of Algeria (O); Mostaganem, west of Algeria (M); Algiers, north of Algeria (A), and Constantine, east of Algeria (C)) were determined. A statistical study was performed based on hierarchical ascending classification and principal component analysis to elucidate the relationships between the basil varieties, their region of growth, and their essential oil composition. In addition to identifying several chemotypes, such as linalool, linalool/eugenol, linalool acetate, methyl eugenol, methyl chavicol, eugenol, methyl cinnamate E, and geraniol, a new compound, namely, octadecenamide (Z) (oleamide), was detected in the essential oil of Ocimum basilicum L. from Algiers (A1).
Berberine Inhibits Herpes Simplex Virus 1 Replication in HEK293T Cells
Authors: Cui Yujuan , Zhang Liangjun , Hu Dandong , Yang Yingli
Published: October 2022

Berberine exhibits polytrophic medicinal roles in various diseases and is safe and effective. However, its role and the underlying mechanism in the replication of herpes simplex virus 1 (HSV-1) remain unreported. This research aimed to determine the functional mechanisms of berberine on HSV-1 infection. We determined the CC50 (

405.11
±
15.67

 μM) and IC50 (

45.6
±
6.84

 μM) of berberine on HEK293T cells infected with HSV-1. Berberine inhibited the transcription and translation of HSV-1 activity-related genes (gD, ICP-4, ICP-5, and ICP-8) in HSV-1-infected HEK293T cells dose-dependently. Berberine also inhibited the phosphorylation of MAPK proteins (JNK and p38) and inflammatory responses induced by HSV-1 infection in HEK293T cells dose-dependently. In conclusion, berberine attenuates HSV-1 replication through its activity, infective ability, and inflammatory response. Our research indicated that berberine may be a candidate drug for HSV-1 infection.
Butorphanol as an Adjuvant to Ropivacaine for Adductor Canal Blocks in Total Knee Arthroplasty Patients: A Randomized, Double, Blind Study
Authors: Mu Tong , Liu Danyan , Gao Fei
Published: October 2022

Background. The objective of this study was to observe the effects of butorphanol as an adjuvant to ropivacaine for the adductor canal block (ACB) on postoperative analgesia in patients undergoing total knee arthroplasty (TKA). Methods. Seventy-four patients undergoing TKA were included and randomly divided into two groups: Group BR received 20 ml of 0.33% ropivacaine plus 1 mg butorphanol and Group R received 20 ml of 0.33% ropivacaine plus 1 ml normal saline for ultrasound-guided adductor canal blocks. The primary outcomes were the duration of the sensory block and the pain visual analogue scale (VAS), and secondary outcomes included the number of PCIA attempts (patient-controlled intravenous analgesia) and the time to first pressing and rescue analgesia. Other outcomes included knee active range of motion (ROM), quadriceps strength, the time to first mobilization, the duration of postoperative hospital stay, Knee Society Score (KSS), and postoperative complications. Results. Since two patients in each group rejected postoperative assessments, 35 patients were included in each group. Compared with Group R, Group BR had longer duration of sensory blocks (18.42 ± 3.46 vs. 15.36 ± 2.29 h,

p
<
0.01

) and lower postoperative pain scores within 24 hours at rest and within 12 hours with activity (

p
<
0.01

). The number of PCIA attempts decreased within 48 hours after surgery (4.5 ± 1.2 vs. 7.8 ± 1.5 times,

p
<
0.01

), and the time to first pressing was later (20.31 ± 2.59 vs. 16.25 ± 2.31 h,

p
<
0.01

). In addition, Group BR had bigger knee ROM at within 24 hours after the operation than Group R (68.37 ± 4.70°vs. 59.21 ± 6.41,85.67 ± 5.17 vs. 74.37 ± 4.68°, 97.62 ± 5.43 vs. 84.18 ± 4.49°,

p
<
0.01

). There was no significant difference between the two groups (

p
>
0.05

) in terms of rescue analgesia, quadriceps strength, the time to first mobilization, the duration of postoperative hospital stay, the KSS function scores, and postoperative complications. Conclusions. Butorphanol plus ropivacaine ultrasound-guided adductor canal block can prolong the duration of sensory block, relieve early postoperative pain, and improve the range of motion of the knee joint, without affecting the occurrence of postoperative complications. Name of the Registry. Chinese Clinical Trial Registry. Trial Registration Number. ChiCTR2100041859. URL of Trial Registry Record. http://www.chictr.org.cn/edit.aspx?pid=119731&htm=4. Date of Registration. 08/01/2021 0:00:00.