bluuebunny/crossref_metadata_2025 huggingface dataset:
Supplemental Material: Gamma-ray attenuation bulk density as an indicator of diatom valve abundance and fragmentation in Pleistocene biosiliceous sediments of the Bering Sea
Authors: Drake Michelle , al. et
Published: August 2022

Table S1: Site U1340 (53.4°N, 179.52°W) newly generated laser particle size data and smear slide count data, and Table S2: Site U1339 (53.67°N, 169.97°W) newly generated laser particle size data and smear slide count data.
Pneumatosis coli in preterm neonates: Can they be managed more conservatively to maintain the intestinal milieu?
Authors: Lee Elis Yuexian , Ma Eric , Anand Amudha Jayanthi , Chandran Suresh
Published: August 2022

Necrotising enterocolitis (NEC) is a severe gastrointestinal disease mostly in premature infants due to intestinal necrosis. The aetiology of NEC is multifactorial and includes gut immaturity, intestinal dysbiosis and exaggerated intestinal mucosal reactivity to microbial ligands. Radiographic evidence of pneumatosis intestinalis has been a critical feature for diagnosing NEC Bell stage ≥IIA and recommended treatment includes prolonged antibiotics (7–14 days) while off enteral feeds. Pneumatosis coli (Pcoli), a mild or benign form of NEC, is characterised by pneumatosis limited to the colon in an infant having haematochezia, negative septic screening and no systemic signs. We report two healthy preterm infants with haematochezia and colonic pneumatosis while on breast milk feeds. The sepsis screen was negative. A brief period of antibiotics and gut rest led to the spontaneous resolution of haematochezia and colonic pneumatosis, facilitating early enteral feeds. This case report emphasises the need to differentiate NEC from benign Pcoli.
Bioprosthesis in aortic valve replacement: long-term inflammatory response and functionality
Authors: Saucedo-Orozco Huitzilihuitl , Vargas-Barron Jesus , Márquez-Velazco Ricardo , Farjat-Pasos Julio Iván , Martinez-Zavala Karla Susana , Jiménez-Rojas Valentin , Criales-Vera Sergio Andres , Arias-Godínez Jose Antonio , Fuentevilla-Alvarez Giovanni , Guarner-Lans Veronica , Perez-Torres Israel , Melendez-Ramirez Gabriela , Sanchez Perez Tomas Efrain , Soto Maria Elena
Published: August 2022

Background

The evaluation of long-term inflammatory response and function in postoperative patients with aortic valve replacement (AVR) deserves special analysis because it is important to try to prevent reoperation and improve durability and functionality of the prostheses. It is our objective

Methods

In this study, we included a cohort of patients with aortic valve damage treated by AVR with mechanical prosthesis, bio prosthesis and we included a control group.

Results

We found that IL-4 and osteopontin levels were higher in patients with mechanical vs biological prostheses (p=0.01 and p=0.04, respectively), osteoprotegerin (OPG) levels were decreased (p=0.01), women had lower levels of ET-1 and IL-6, (p=0.02) (p=0.04), respectively. Patients older than 60 years had decreased levels of IL-1ß p<0.001) and a higher concentration of IL-4 p<0.05). IL-1ß, OPG and TNFα were higher in patients with less than 5 years of evolution vs more than 10 years (p=0.004, p=0.02 and p=0.03, respectively). Factors such as age, gender, prosthetic and elevated IL-1B and ET-1 levels are associated with valve dysfunction prosthetic. These results indicate that the inflammatory involvement present prior to valve replacement may be perpetuated by various factors in the long term.

Conclusions

The findings provide us with the opportunity to effectively treat patients with AVR in the postoperative period, which could prolong the functionality of the bio prostheses.

Trial registration number

NCT04557345.
Strengthening the emergency health response to children wounded by explosive weapons in conflict
Authors: Wild Hannah , Reavley Paul , Mayhew Emily , Ameh Emmanuel A , Celikkaya Mehmet Emin , Stewart Barclay
Published: August 2022

The 2022 war in Ukraine has highlighted the unacceptable consequences wrought on civilians and health infrastructure by conflict. Children are among the most vulnerable of those affected and constitute an increasing percentage of non-combatants injured in conflicts globally. A disproportionate number of these injuries are caused by blast mechanisms from munitions including ‘conventional’ landmines and indiscriminate explosive weapons such as barrel bombs and improvised explosive devices. In 21st century conflict, children are no longer only accidental casualties of war, but are increasingly targeted by parties through acts such as bombing of school buses and playgrounds, conscription as child soldiers, and use as human shields. In the present viewpoint article, we review the state of pediatric blast injury studies, synthesizing current understandings of injury epidemiology and identifying gaps in research to advance the field towards a concrete agenda to improve care for this vulnerable population.
PCDH7 knockdown potentiates colon cancer cells to chemotherapy via inducing ferroptosis and changes in autophagy through restraining MEK1/2/ERK/c-Fos axis
Authors: Liu Zhendong , Xu Yuyang , Liu Xin , Wang Baochun
Published: August 2022

Chemotherapy is a commonly utilized treatment strategy for colon cancer, a prevalent malignancy. The study intends to probe the function and mechanism of protocadherin 7 (PCDH7) in colon cancer. Gain or loss of functional assays of PCDH7 was performed. MTT and colony formation assay monitored cell proliferation. Transwell measured migration and invasion. Real-time quantitative polymerase chain reaction and western blot verified the profiles of PCDH7 and the MEK1/2/ERK/c-FOS pathway. Western blot was implemented to confirm the profiles of PP1α, MLC2, and p-MLC2 for evaluating the impact of PCDH7 on homotypic cells in cell (hocic) structures. Further, an in-vivo nude mouse model was engineered to figure out the function and mechanism of PCDH7 in tumor cell growth. As indicated by the data, PCDH7 knockdown boosted the cells’ sensitivity to chemotherapy. PCDH7 overexpression facilitated their proliferation and invasion, altered autophagy, induced ferroptosis and hocic, and initiated the profile of the MEK1/2/ERK/c-FOS pathway. MEK1/2/ERK inhibition impaired the inhibitory impact of PCDH7 on colon cancer cells’ chemotherapy sensitivity and dampened its pro-cancer function in the cells. In-vivo experiments displayed that PCDH7 overexpression stepped up tumor growth and pulmonary metastasis in colon cancer cells. All in all, the research has discovered that PCDH7 knockdown affects autophagy and induces ferroptosis, hence strengthening colon cancer cells’ sensitivity to chemotherapy by repressing the MEK1/2/ERK/c-FOS axis.
A Fine-grained View on Stable Many-to-one Matching Problems with Lower and Upper Quotas
Authors: Boehmer Niclas , Heeger Klaus
Published: August 2022

In the NP-hard Hospital Residents problem with lower and upper quotas (

HR-Q
L
U

), the goal is to find a stable matching of residents to hospitals where the number of residents matched to a hospital is either between its lower and upper quota or zero. We analyze this problem from a parameterized complexity perspective using several natural parameters such as the number of hospitals and the number of residents. Moreover, answering an open question of Biró et al. [TCS 2010], we present an involved polynomial-time algorithm that finds a stable matching (if it exists) on instances with maximum lower quota two. Alongside

HR-Q
L
U

, we also consider two closely related models of independent interest, namely, the special case of

HR-Q
L
U

where each hospital has only a lower quota but no upper quota and the variation of

HR-Q
L
U

where hospitals do not have preferences over residents, which is also known as the House Allocation problem with lower and upper quotas. Last, we investigate the parameterized complexity of these three NP-hard problems when preferences may contain ties.
ONP-Miner: One-off Negative Sequential Pattern Mining
Authors: Wu Youxi , Chen Mingjie , Li Yan , Liu Jing , Li Zhao , Li Jinyan , Wu Xindong
Published: August 2022

Negative sequential pattern mining (SPM) is an important SPM research topic. Unlike positive SPM, negative SPM can discover events that should have occurred but have not occurred, and it can be used for financial risk management and fraud detection. However, existing methods generally ignore the repetitions of the pattern and do not consider gap constraints, which can lead to mining results containing a large number of patterns that users are not interested in. To solve this problem, this article discovers frequent one-off negative sequential patterns (ONPs). This problem has the following two characteristics. First, the support is calculated under the one-off condition, which means that any character in the sequence can only be used once at most. Second, the gap constraint can be given by the user. To efficiently mine patterns, this article proposes the ONP-Miner algorithm, which employs depth-first and backtracking strategies to calculate the support. Therefore, ONP-Miner can effectively avoid creating redundant nodes and parent-child relationships. Moreover, to effectively reduce the number of candidate patterns, ONP-Miner uses pattern join and pruning strategies to generate and further prune the candidate patterns, respectively. Experimental results show that ONP-Miner not only improves the mining efficiency but also has better mining performance than the state-of-the-art algorithms. More importantly, ONP mining can find more interesting patterns in traffic volume data to predict future traffic.
GA-SCS: Graph-Augmented Source Code Summarization
Authors: Zhang Mengli , Zhou Gang , Yu Wanting , Huang Ningbo , Liu Wenfen
Published: August 2022

Automatic source code summarization system aims to generate a valuable natural language description for a program, which can facilitate software development and maintenance, code categorization, and retrieval. However, previous sequence-based research did not consider the long-distance dependence and highly structured characteristics of source code simultaneously. In this article, we present a Transformer-based Graph-Augmented Source Code Summarization (GA-SCS), which can effectively incorporate inherent structural and textual features of source code to generate an effective code description. Specifically, we develop a graph-based structure feature extraction scheme leveraging abstract syntax tree and graph attention networks to mine global syntactic information. And then, to take full advantage of the lexical and syntactic information of code snippets, we extend the original attention to a syntax-informed self-attention mechanism in our encoder. In the training process, we also adopt a reinforcement learning strategy to enhance the readability and informativity of generated code summaries. We utilize the Java dataset and Python dataset to evaluate the performance of different models. Experimental results demonstrate that our GA-SCS model outperforms all competitive methods on BLEU, METEOR, ROUGE, and human evaluations.
Multi-objective flexibility disaggregation to distributed energy management systems
Authors: Danner Dominik , Huwa Robin , De Meer Hermann
Published: August 2022

Flexibility from stationary batteries and electric vehicles allow home energy management systems to optimally consume local photovoltaic generation. The aggregated flexibility potential of a set of energy management systems can further contribute to a common objective, e.g., peak shaving at the transformer station. This paper formalizes the (non-convex) goals of involved stakeholders when disaggregating a flexibility request to a pool of energy management systems as multi-objective problem. The proposed genetic algorithm optimizes for the resource aggregator (
minimizing cost and maximizing delivery probability
), the grid operator (
minimizing grid losses
), the resource provider (
maximizing autarky and self-consumption
), and a fairness provider (
maximizing fairness among participants
). A disaggregation schedule that satisfies the objectives of all stakeholders can be chosen a posteriori from the Pareto-optimal solution set, which is demonstrated with a case study on the IEEE 906 low voltage test feeder.
Theoretical Relations between Electronic and Ionic Work Functions, Standard Reduction Potentials for Metal Dissolution and the Corrosion Potential
Authors: Li Sirui , Frankel Gerald S. , Taylor Christopher D.
Published: August 2022

Corrosion resistance has become an important factor to consider in integrated computational materials engineering, yet generating science-based indicators of corrosion resistance for hypothetical materials remains challenging. We explore the quantitative relations between work function and corrosion potential, taking a theoretical approach that considers the relation between these thermodynamic and kinetically-determined variables. The work function is a fundamental thermodynamic property of a metallic surface in isolation, whereas the corrosion potential is kinetically determined as the potential at which the rates of anodic and cathodic processes active on the metal surface are equal. The latter quantity is therefore time dependent, as well as dependent on the material, surface preparation, ageing/history and the environment. Reasoning from Mixed Potential Theory, we develop a rationale for the correlation between the corrosion potential and the electronic work function. Two distinct Born-Haber cycles for the anodic dissolution reaction are analyzed to allow calculation of a related quantity, the ionic work function, which embodies the energy of desorption for metal cations from an electrode. The ionic work function is not only highly correlated with, but of similar magnitude to the cation hydration energy. The theoretical analysis provided herein establishes the significance of not only the electronic work function, but also the ionic work function, cation hydration energy, cohesive energy and the ionization potential as co-descriptors for the corrosion resistance of candidate corrosion resistant metal alloys, with the role of the environment to be considered in future work.
LiMn2O4-rGO/PANI Nanocomposite as a Cathode Material for Li-Ion Batteries
Authors: Sharma Rahul , Nihal  , Sharma Mamta , Goswamy J. K.
Published: August 2022

In this work, The LiMn2O4 nanocomposite was synthesized by using the hydrothermal method, taking lithium acetate, potassium permanganate, and aniline as precursors. LiMn2O4-rGO and LiMn2O4-rGO/PANI was prepared by exfoliation of rGO and PANI on it. XRD and FTIR spectroscopy was used to analyze the structural and optical properties of prepared samples, while FESEM images were used to analyze the morphology of all samples. The average size of the crystallite, tensile strain, degree of crystallinity, and dislocation density were all calculated by using the XRD data. The XRD results show the presence of a single phase of LiMn2O4. To study the electrochemical performance of each prepared electrode, cyclic voltammetry, galvanostatic charge/discharge, and impedance analyzer tests were performed. Specific capacity, energy density, power density, DC conductivity, and diffusion coefficient were calculated using electrochemical testing data. LiMn2O4-rGO/PANI shows specific capacity of 135 mA h g−1 with a 85% retention after 100 cycles, while pristine LiMn2O4 shows specific capacity of 105 mAhg−1 with retention of 70% after 100 Cycle. The addition of rGO and PANI enhance the electrical conductivity and reduced the structural aggregation, results in improved electrochemical performance.
Wetland Ecotourism Development Using Deep Learning and Grey Clustering Algorithm from the Perspective of Sustainable Development
Authors: Shao Bintao , Chen Longtao , Xing Nian
Published: August 2022

The purpose is to promote the sustainable development of wetland ecotourism in China and plan the passenger flow in different tourism periods. This work selects Zhangye Heihe wetland ecotourism spot as the research object. Firstly, the two single wetland ecotourism Demand Prediction Models (DPMs) are proposed based on the time series of the optimized Fuzzy Clustering Algorithm (FCA), grey theory, and the Markov Chain Method. The proposed wetland ecotourism DPM simulates and predicts the ecotourism passenger flow of wetland‐scenic spots and verifies the maximum passenger flow. Then, a hybrid model combining the above two single models is proposed, namely, the wetland ecotourism DPM based on an optimized fuzzy grey clustering algorithm. Further, the proposed three models predict the passenger flow in wetland ecotourism spots from 2015 to 2019. A wetland Water Quality Evaluation (WQE) model based on Deep Learning Backpropagation Neural Network (Deep Learning (DL) BPNN) is proposed to evaluate the water quality in different water periods. The results show that the hybrid model’s Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) are 1.25% and 0.2532. By comparison, for two single models, the MAPE is 11.67% and 1.45%, respectively, and the RMSE is 0.2526 and 0.1652, respectively. Therefore, the mixed hybrid has the highest accuracy and stability. The water quality of the scenic spot in the wet season is obviously better than that in the dry season and flat season. It is suggested that the natural environmental factors, such as water quality and passenger flow in different periods, should be considered when formulating ecotourism development strategies.
HMGA2 Promotes Brain Injury in Rats with Cerebral Infarction by Activating TLR4/NF-κB Signaling Pathway
Authors: Huang Shaoyue , Hong Zhen , Zhang Leguo , Guo Jian , Li Yanhua , Li Kuo
Published: August 2022

Cerebral infarction is a common disease with a higher disability and fatality rates. The incidence rates of cerebral infarction or cerebral ischemic stroke gradually increase with aging and cerebrovascular disease progression. This study is aimed at evaluating the effects of HMGA2 on cerebral infarction-induced brain tissue damage and its underlying mechanisms. Adult Sprague Dawley rats were pretreated with sh-HMGA2 before cerebral infarction operation. The effect of HMGA2 on the arrangement, distribution, and morphological structure of neurons and the cell apoptosis ratio in brain tissue were detected via hematoxylin and eosin staining, brain-water content, TTC staining, and TUNEL staining. The results from ELISA assay, qPCR, and western blot indicated that downregulation of HMGA2 mitigated inflammatory stress via regulating the expression of TLR4/NF-κB. In addition, results showed that suppressed HMGA2 attenuated the neurological dysfunction of brain injury rats and markedly reduced infarct volume. HMGA2 might be able to alleviate the damage associated with cerebral infarction-induced inflammatory response and cell apoptosis. Moreover, downregulation of HMGA2 had a protective effect on the brain damage derived from cerebral infarction by mediating the TLR4/NF-κB pathway. In conclusion, the current study demonstrated that downregulation of HMGB2 decreased the infarct size, inflammatory responses, and apoptosis in cerebral injury and further had neuroprotective effects against cerebral infarction-induced brain damage. Finally, these results indicated that the downregulation of the TLR4/NF-κB pathway after ischemia by HMGB2 inhibition is a potential mechanism of the neuroprotective effect of cerebral injury.
The Clinical Diagnostic Value of F‐FDG PET/CT Combined with MRI in Pancreatic Cancer
Authors: Liu Xinyan , Ren Yi , Wang Jianying , Yang Xiujin , Lu Li
Published: August 2022

Pancreatic cancer is a common gastrointestinal tumor with increasing morbidity and mortality, and it is difficult to differentiate it from chronic mass pancreatitis. F‐18‐fluorodeoxyglucose positron emission tomography/computed tomography (F‐FDG PET/CT) can be used for diagnosis of pancreatic cancer, staging, radiotherapy planning, evaluation of efficacy and recurrence, and differentiation from posttreatment fibrosis but the sensitivity and specificity of diagnosis of chronic pancreatitis are poor. Magnetic resonance imaging (MRI) not only shows the morphology, location, and size of organs and lesions but also has the advantages of low radiation, high soft tissue contrast, and multiparameter imaging, which can help determine the nature of occupying pancreatic lesions. In this study, the watershed algorithm (WA) was used to segment the abdominal images to extract images of pancreatic cancer cells and to compare the value of F‐FDG PET/CT combined with MRI in the diagnosis of pancreatic occupying lesions.
Elevated Salivary Inflammatory Biomarkers are Associated with SARS-CoV-2 Infection Severity
Authors: Alwafi Hanadi Abdullah , Ali Soad Shaker , Kotha Sunil Babu , Abuljadayel Layla Waleed , Ibrahim Maha , Elahi Ibrahim Rashad Noor , Alwafi Hebah Abdullah , Almuhayawi Mohammed S. , Finkelman Matthew D. , El-Shitany Nagla A.
Published: August 2022

High levels of inflammatory cytokines in serum have been reported in patients with severe SARS-CoV-2 infection. There is growing interest in recognizing the role of inflammatory biomarkers in saliva in diagnosing systemic diseases. This study assumed that estimating biomarkers in saliva samples from patients infected with SARS-CoV-2 would distinguish between mild and severe cases. Saliva was collected from 142 controls and 158 SARS-CoV-2 patients (mild 72 and severe 86) to measure interleukin-6 (IL-6), C-reactive protein (CRP), and C-X-C motif chemokine ligand-10 (CXCL-10). IL-6 and CXCL-10 were significantly increased in patients with mild and severe SARS-CoV-2 infections. CRP was significantly increased only in severe SARS-CoV-2 cases. All biomarkers were significantly higher in severe cases than in mild cases (

p
<
0.001

). Among patients with SARS-CoV-2 infection, men showed significantly higher CRP and CXCL-10 levels than females (

p
<
0.01

and 0.05, respectively). In addition, elderly patients (40–80 years) had significantly higher IL-6, CRP, and CXCL-10 (

p
<
0.001

). Patients with diabetes and hypertension showed elevated IL-6, CRP, and CXCL-10 (

p
<
0.001

). There was a significant positive correlation between IL-6, CRP, CXCL-10, and between age, IL-6, CRP, and CXCL-10. Saliva may have a future value in measuring the inflammatory biomarkers associated with the severity of SARS-CoV2 infection and therapeutic monitoring.
Efficiency of Disease and Disease Activity Diagnosis Models of Systemic Lupus Erythematosus Based on Protein Array Analysis
Authors: Zhao Yafei , Qi Yuanyuan , Liu Xinran , Cui Yan , Zhao Zhanzheng
Published: August 2022

Background. Systemic lupus erythematosus (SLE) has become increasingly common in the clinic and requires complicated evidence of both clinical manifestations and laboratory examinations. Additionally, the assessment and monitoring of lupus disease activity are challenging. We hope to find efficient biomarkers and establish diagnostic models of SLE. Materials and Methods. We detected and quantified 40 proteins using a quantitative protein array of 76 SLE patients and 21 healthy controls, and differentially expressed proteins were screened out by volcano plot. Logistic regression analysis was used to recognize biomarkers that could be enrolled in the disease diagnosis model and disease activity diagnosis model, and a receiver operating characteristic (ROC) curve was drawn to evaluate the efficiency of the model. A nomogram was depicted for convenient and visualized application of our models in the clinic. Decision curves and clinical impact curves were also plotted to validate our models. Results. The protein levels of TNF RII, BLC, TNF RI, MIP-1b, eotaxin, MIG, MCSF, IL-8, MCP-1, and IL-10 showed significant differences between patients with SLE and healthy controls. TNF RII and MIP-1b were included in the SLE diagnosis model with logistic regression analysis, and the value of the area under the ROC curve (AUC) was 0.914 (95% confidence interval (CI), 0.859-0.969). TNF RII, BLC, and MIP-1b were enrolled in the disease activity diagnosis model, and the AUC value was 0.823 (95% CI 0.729-0.916). Both of the models that we established showed high efficiency. Additionally, the three protein biomarkers contained in the disease activity distinguish model provided additional benefit to conventional biomarkers in predicting active lupus. Conclusions. The disease diagnosis model and disease activity diagnosis model that we developed based on protein array chip results showed high efficiency in differentiating patients with SLE from healthy controls and recognizing SLE patients with high disease activity, and they have also been validated. This implied that they might greatly benefit clinical decisions and the treatment of SLE.
Systematic Oxidative Stress Indexes Associated with the Prognosis in Patients with T Lymphoblastic Lymphoma/Leukemia
Authors: Ping Liqin , Gao Yan , He Yanxia , Wang Xiaoxiao , Bai Bing , Huang Cheng , Huang Huiqiang
Published: August 2022

Background. T lymphoblastic lymphoma/leukemia (T-LBL/ALL) is an aggressive malignant tumor with 5-year overall survival (OS) rate reached 80% after high-dose chemotherapy. Due to the relatively low incidence of T-LBL/ALL, only a few risk factors have been identified. The occurrence and prognosis of malignant tumors are closely related to oxidative stress, but the prognostic relationship between T-LBL/ALL and systematic oxidative stress indexes has not been reported yet. Methods. A total of 258 T-LBL/ALL patients were retrospectively analyzed. The relationship between systematic oxidative stress indexes, such as creatinine (CRE), gamma-glutamyl transpeptidase (γ-GGT), albumin (ALB), alkaline phosphatase (ALP), fibrinogen (FBG), C-reactive protein (CRP) and total bilirubin (TBIL), and survival of T-LBL/ALL patients, was analyzed. The weight of indexes was used to calculate the patients' oxidative stress risk score. The independent prognostic value of oxidative stress risk grouping (OSRG) was analyzed. Results. Higher CRE, CRP, and lower ALB were associated with poorer OS in T-LBL/ALL patients. The OSRG established by CRE, ALB, and CRP was an independent prognostic factor for OS of T-LBL/ALL patients. Patients in the high-risk group were more likely to be patients older than 14 years old and patients with superior vena cava obstruction syndrome (SVCS), pleural effusion, pericardial effusion, and mediastinal mass. Conclusion. For OS in T-LBL/ALL patients, OSRG was observed as an independent prognostic factor, which provided a new idea for accurate prognostic prediction.
A Human Motion Function Rehabilitation Monitoring System Based on Data Mining
Authors: Chen Xiaojing
Published: August 2022

Human motion interaction technologies have evolved to a new level with the development of traditional reality technology as science and technology have developed. Fully interactive and human motion interaction technologies are becoming more common in fields such as medical rehabilitation and military simulations. Human motion is at the heart of all activity, and motion analysis and human motion are critical theoretical disciplines. Identification is based on behavior and motion in human motion, with attributes such as effectiveness, intelligence, potent interaction, and rich expression data. When studying human movement, many researchers now prefer this method. However, this study was conducted with insufficient suggestions for real-time human motion function assessment, rehabilitation, and improvement. The development of an information monitoring system for human motion function rehabilitation can be used to evaluate the efficacy of patient rehabilitation training. A human motion function rehabilitation monitoring system is created using an effective and thorough design methodology. The system is made up of the rehabilitation monitoring terminal, the human motion function monitoring module, and the medical center monitoring system. Therefore, the motion-based data mining technique is better for the human motion function rehabilitation monitoring system. The normalized proportion of motion features will assist in the creation of a database for human motion mining. The nonlinear classification function is used in this paper to scientifically categorize human motion features to implement data mining techniques for monitoring human motion function rehabilitation. The effectiveness of patient rehabilitation is significantly increased by the use of a human motion-based rehabilitation monitoring system.
Game Analysis of Supply Chain Enterprises’ Choice of Carbon Emission Reduction Behavior under Environmental Regulation and Consumers’ Low Carbon Preference
Authors: Huo Huanhuan , Liu Haiyan , Bao Xinzhong , Cui Wei
Published: August 2022

Under the background of low‐carbon economy, in order to explore the internal mechanism of enterprises implementing carbon emission reduction behavior, this paper uses evolutionary game theory and numerical simulation method to study the evolutionary stability strategy and its influencing factors of carbon emission reduction behavior of supply chain enterprises in a two‐level supply chain composed of a single supplier and a single manufacturer from a dynamic perspective, considering environmental regulation and consumers’ preference for low carbon emission. The results show that there are certain conditions that make supply chain enterprises converge to carbon emission reduction investment behavior under the effect of command‐and‐control environmental regulation and consumer low‐carbon preference, and converge to cooperative carbon emission reduction behavior under the effect of market‐based environmental regulation and consumer low‐carbon preference. On this basis, the factors significantly influence the carbon emission reduction investment behavior of supply chain enterprises are the carbon emission reward and punishment coefficient and the low carbon preference coefficient of consumers. Increasing the carbon tax rate, carbon emission trading price and the proportion of cost subsidies, as well as encouraging consumers to consume low‐carbon products will help promote the realization of cooperative carbon emission reduction.
Influence of Lacidophilin Vaginal Capsules plus rh-IFN-α2b on Efficacy, Vaginal Microecology, and Safety of Patients with HPV Infection
Authors: Sun Yan , Xu Jianqun , Zhou Hongya , You Lina , Zhu Yan
Published: August 2022

Background. Human papillomavirus (HPV) is a self-limiting disease, and there is no specific antiviral drug at present. Purpose. Here, we analyzed the influence of lacidophilin vaginal capsules plus recombinant human interferon α-2b (rh-IFN-α2b) on efficacy, vaginal microecology, and safety of patients with HPV infection. Two hundred cases of HPV infection admitted between January 2019 and December 2020 were retrospectively collected. Of them, 90 cases receiving rh-IFN-α2b intervention were assigned to the control group (CG), and 110 cases given lacidophilin vaginal capsules in addition to rh-IFN-α2b were included in the research group (RG). Baseline data, efficacy, vaginal microecology, microecological restoration recovery, and incidence of adverse events (AEs) were compared between the two groups. Results. The analyses revealed nonsignificant difference in baseline data between RG and CG, indicating comparability. In terms of efficacy, RG showed a statistically higher negative conversion ratio (NCR) than CG (57.27% vs. 47.78%), as well as an obviously higher overall response rate (ORR) (90.90% vs. 72.22%). As far as the vaginal microecology was concerned, the incidence rates of catalase-positive, sialidase-positive, abnormal microbial density, and abnormal microbial diversity of RG were significantly lower compared with CG, but no evident differences were determined in Trichomonas vaginalis-positive and Candida-positive. As for microecological restoration, RG had an obviously higher vaginal microecological recovery rate than CG (90.00% vs. 65.56%), as well as notably lower vaginal secretion pH and Nugent score. On the other hand, RG and CG showed no statistical significance in the incidence of AEs (12.73% vs. 13.33%). Conclusions. The main contributions of this study are as follows: first, it is confirmed that lacidophilin vaginal capsules plus rh-IFN-α2b has better clinical effects than rh-IFN-α2b alone in HPV-infected patients; second, it demonstrates that the combination therapy can significantly improve NCR and ORR, without increasing the incidence of AEs, and is beneficial to improve patients’ vaginal microecology and promote its restoration from the multidimensional aspects of efficacy, safety, and vaginal microecology and its recovery. Our findings provide valuable clinical evidence for the drug treatment of HPV-infected patients.
Mutual Knowledge Analysis of Music Online Communication and Contemporary People’s View of Music Based on Gray Correlation Analysis and Knowledge-Driven
Authors: Niu Xiaojing
Published: August 2022

With the operation and development of social economy, the emergence of network technology has caused a series of changes in contemporary music media and people’s conception of music. A series of transformations have occurred. The article focuses on music network communication and the public’s music concept and elaborates on the transformation of its concept and its influence, aiming to lay a good foundation for the development of music network communication through the study of the problem.
Micro Learning Support Vector Machine for Pattern Classification: A High-Speed Algorithm
Authors: Yan Yu , Wang Yiming , Lei Yiming
Published: August 2022

The support vector machine theory has been developed into a very mature system at present. The original support vector machine to solve the optimization problem is transformed into a direct calculation formula of line in this paper and the model is

o

n

2

time complexity. In the model of this article, weited theory, multiclassification problem and online learning have all become the direct inference, and we have applied the new model to the UCI data set. We hope that in the future, this model will be useful in real-world problems such as stock forecasting, which require nonlinear hi-speed algorithms.
Cloning and Prokaryotic Expression of Carotenoid Cleavage Dioxygenases from Mulberry (Morus notabilis)
Authors: Liu Dan , Qiu Changyu , Lu Xiaomei , Zeng Yanrong , Zhang Chaohua , Li Tao , Zhu Guangshu , He Ji , Lin Qiang
Published: August 2022

Carotenoid cleavage dioxygenase (CCD) is the key enzyme for carotenoid cleavage, and the products of carotenoid cleavage regulate the ability of plants to stress. In this paper, six CCD genes were obtained from Morus notabilis (Mn) by reverse transcription-polymerase chain reaction (RT-PCR) and we classified them into three subgroups based on gene structures and phylogenetic analysis. The CDS (coding sequence) regions of the six MnCCD genes were 1617, 1620, 1635, 1713, 1746, and 1791 bp in full length, encoding 538, 539, 544, 570, 581, and 596 amino acids, respectively. Then, Pcold–TF-MnCCD plasmids were constructed and independently transferred into E. coli BL21 (DE3), and the MnCCD proteins were successfully expressed by prokaryotic expression with an expected molecular weight of recombinant proteins (∼120 kDa) and high solubility. These results will lay a foundation for the identification of mulberry carotenoid products.
Design of Electronically Controllable Multifunction Active Filter with Amplitude Controllability Using Two Commercially Available ICs
Authors: Onanong Narumol , Supavarasuwat Piya , Angamnuaysiri Daungkamol , Siripongdee Surapong , Chaichana Amornchai , Jaikla Winai , Suwanjan Peerawut
Published: August 2022

In this contribution, the design and analysis of an active multifunction biquad filter that provides five voltage-mode filtering configurations in the same core filtering circuit are presented. The design emphasizes using the commercially available ICs, LT1228, which are easy for off-the-shelf implementation and cheaper compared with the chip implementation. The proposed multifunction filter is realized from two commercial LT1228 ICs as the active function block, combined with five passive elements (three resistors and two capacitors) with three input voltage nodes and a single output voltage node. The following advantages are given for this design: (i) it provides high-pass (HP), low-pass (LP), band-stop (BS), band-pass (BP), and all-pass (AP) filtering functions; (ii) orthogonal and electronic tuning of the natural frequency

ω
0

and bandwidth (the quality factor: Q); (iii) output voltage node of the proposed circuit is low impedance; (iv) passband voltage gain is controllable; and (v) matching condition and extra double gain voltage-mode amplifier are not required. The effect of the parasitic element in LT1228 on the filter performance is analyzed and included to strengthen the design idea. The PSpice simulation results using LT1228 with ±5 V and the experimental results tested from the hardware implementation are given to prove the validity of the designed multifunction filter.
Port Logistics Function Evaluation Model Based on Entropy Weight TOPSIS Method
Authors: Chen Zeyun
Published: August 2022

Port logistics has developed rapidly, but due to late start, poor foundation, and other reasons, there are still some deficiencies in the development process; for example, some port logistics capacity is weak, and low efficiency has hindered the development of ports. Therefore, this paper puts forward the evaluation model of port logistics function based on entropy weight TOPSIS (Technique for Order of Preference by Similarity to an Ideal Solution) method. Analyze the factors that affect the operation effect of port logistics, extract four key indicators, and construct index evaluation factors. Entropy weight method and TOPSIS method are used to calculate the weight of each factor so as to quantify the indicators, thus determining the scoring standard of each indicator, obtaining the comprehensive scoring standard, and realizing the port logistics function evaluation. The experimental results show that to realize the effective use of port resources and the protection of the port environment, it not only needs to conduct port logistics function evaluation but also take into account the efficiency of port logistics. It is of great significance to study the capacity and efficiency of port logistics for improving the core competitiveness of port enterprises and driving the sustainable economic development of surrounding areas.
Software-Defined Networks for Optical Networks Using Flexible Orchestration: Advances, Challenges, and Opportunities
Authors: Nsafoa-Yeboah Kenneth , Tchao Eric Tutu , Yeboah-Akowuah Bright , Kommey Benjamin , Agbemenu Andrew Selasi , Keelson Eliel , Monirujjaman Khan Mohammad
Published: August 2022

Optical networks offer a wide range of benefits to the telecommunication sector worldwide with their provision of higher bandwidth, which leads to faster data speed, longer transmission distance, and improved latency. Currently, the complexity associated with advancements in optical networks poses problems to network flexibility, reliability, and quality of service. Over the years, many reviews and proposals have been implemented by several literature studies to provide solutions for optical networks using software-defined networks and network service orchestrators. This study reviews the significant challenges in current optical network applications, the various solutions rendered by software-defined networks, and network service orchestration, impediments, and gaps in these software-defined networks. This study will go a step further to look into the various improvements and implementations of software-defined networks tailored to solve specific optical network problems. This study further proposes a flexible orchestration architecture for software-defined networks for solving flexibility and scalability problems in optical networks. This proposal uses an open network system (ONOS) SDN controller, leveraging on dockerisation and Kubernetes clusterisation and orchestration. This solution presents a more flexible, reliable, customable, and higher quality of service, which is an improvement upon current solutions in the literature.
Simulation Study on Mechanical Characteristics of Rock Bolt in Rock Mass with Bedding Separation Based on the Nonlinear Bond Slip Relationship
Authors: Li Ning , Du Zhigang , Gao Fuqiang , Qi Fuzhou , Gao Haiping , Li Mingxia , Wang Xiaoqiang
Published: August 2022

The mechanical equation on the mechanical characteristics of rock bolt in rock mass with bedding separation is established, based on the bond slip relationship of anchoring interface by the load transfer method. The validity of the numerical simulation is verified by the analytical solution of mechanical equation, when the bond slip relationship is linear. Further, the nonlinear bond slip relationship of anchoring interface is input into Flac3D by FISH. The mechanical characteristics of rock bolt are studied with the single and multiple bedding separation by numerical simulation. The results show that the axial force and the interfacial shear stress distribution curves on both sides are symmetrically distributed with the single bedding separation in rock mass, when the bedding separation is located in the center of the anchoring segment. When the bedding separation positions are not located in the center of the anchoring segment, the bedding separation value at different positions versus the axial force curves shows a single peak distribution. The axial force of rock bolt is mainly controlled by the side with the shorter anchoring length. Compared with the single bedding separation in rock mass, the additional stress of rock bolt occurred by the multiple bedding separation will superimpose each other. This paper leads to a better understanding for the load transfer mechanism for grouted rock bolt systems in rock mass with bedding separation and provides a reference for scientific support design and evaluation method.
A Surgical Case of Bow Hunter’s Syndrome Diagnosed by Cervical Rotational MRA
Authors: Matsuoka Hidenori , Ohashi So , Narikiyo Michihisa , Nogami Ryo , Hashimoto Keita , Nagasaki Hirokazu , Tsuboi Yoshifumi
Published: August 2022

Bow hunter’s syndrome is an ischemic manifestation of vertebrobasilar artery (VA) insufficiency due to stenosis or occlusion of the contralateral VA at the bony elements of the atlas and axis during neck rotation. In early reports, VA stenosis at the craniovertebral junction was the main cause, but later, symptoms due to VA occlusion at the middle and lower cervical vertebrae were also included in this pathology. Although the confirmed diagnosis is usually determined by dynamic digital subtraction angiography (DSA), we have experienced a method of minimally invasive MR angiogram (MRA) that provides the same diagnostic value as DSA and would like to present it here. The patient was a 61-year-old man who had been visiting the outpatient clinic for cervical spondylosis due to neck pain for 9 months. When he rotated his neck to the left side, dizziness and syncope appeared. Initial MRA in the neutral position did not show any steno-occlusive changes in the vertebrobasilar artery. In our hospital, repeated MRA with the neck rotated 45 degrees to the left demonstrated ipsilateral left VA severe stenosis. Subsequent DSA showed the same findings, with occlusion of the left VA. CT of the cervical spine revealed a ventral C3/4 osteophyte within the foramen. Based on these findings, instability at the C3-4 during head rotation was considered the cause of the vertebrobasilar insufficiency. The patient underwent anterior discectomy and fusion (ACDF) at the C3/4 level using a cylindrical titanium cage. Immediately after the surgery, the patient’s symptoms improved dramatically and did not appear even when the neck were fully rotated to the left. More than 5 years have passed since the surgery, and the patient is still in good health.
Iodine Concentration in Drinking Water in the Same or Different Seasons of the Year in Brazilian Macroregions
Authors: Pinto Carina Aparecida , de Castro Morais Dayane , Franceschini Sylvia do Carmo Castro , Vieira Ribeiro Sarah Aparecida , Filomeno Fontes Edimar Aparecida , Pelucio Pizato Nathália Marcolini , Rocha de Faria Franciane , Pereira Renata Junqueira , Goés da Silva Danielle , Abreu de Carvalho Carolina , de Cássia Carvalho Oliveira Fabiana , Sperandio Naiara , Navarro Anderson Marliere , Crispim Sandra Patrícia , Priore Silvia Eloiza
Published: August 2022

Objective. The aim of this study was to compare the concentration of iodine in drinking water in the same or different seasons of the year in Brazilian macroregions. Method. Water samples were collected from the Basic Health Units of eight municipalities that make up the different Brazilian macroregions and the Federal District. Sample collection took place in the summer, autumn, winter, and spring seasons. The spectrophotometric method with “leuco crystal violet” was used to determine the concentration of iodine in the water. Descriptive statistics on the data were performed. To verify if there was a difference in the concentration of iodine in the water between the climatic seasons of the year in the same place and between the same seasons in different locations, the Mann–Whitney or Kruskal–Wallis test was used and a

p
<
0.05

value was considered significant. Results. Among the climatic seasons throughout the year in the same location, there was a difference in the concentration of iodine in the water in the municipality of Pinhais, state of Paraná/South macroregion, between autumn and summer (

p
=
0.041

) and winter and summer seasons (

p
=
0.003

). There was a difference in the concentration of iodine in the water in the summer season between the Midwest and South macroregions; Northeast and Midwest, Southeast and South; North and Midwest, Southeast and South (

p
<
0.05

). In the autumn season, there was a difference in the concentration of iodine in the water between the Midwest and South macroregions; Northeast and Midwest, Southeast and South; North and Midwest, Northeast and South (

p
<
0.05

). In the winter season, there was a difference in the concentration of iodine in the water between the Southeast and Midwest and Southeast and South macroregions (

p
<
0.05

). In the spring season, there was a difference in the concentration of iodine in the water between the Southeast and Midwest and Southeast and South macroregions (

p
<
0.05

). Conclusion. There were differences in the iodine concentrations in drinking water in different locations in Brazil, when analyzed in the same seasons, and in the municipality of Pinhais between the autumn and summer and winter and summer seasons. Thus, it is suggested to monitor the iodine concentrations in water, considering the differences in climate, characteristics of each region, and soils throughout the Brazilian territory, since the deficiency or excess of iodine can bring risks to the health of the population.