bluuebunny/crossref_metadata_2025 huggingface dataset:
On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study
Authors: Ma Chunpeng , Shen Aili , Yoshikawa Hiyori , Iwakura Tomoya , Beck Daniel , Baldwin Timothy
Published: October 2022

Combining different input modalities beyond text is a key challenge for natural language processing. Previous work has been inconclusive as to the true utility of images as a supplementary information source for text classification tasks, motivating this large-scale human study of labelling performance given text-only, images-only, or both text and images. To this end, we create a new dataset accompanied with a novel annotation method—Japanese Entity Labeling with Dynamic Annotation—to deepen our understanding of the effectiveness of images for multi-modal text classification. By performing careful comparative analysis of human performance and the performance of state-of-the-art multi-modal text classification models, we gain valuable insights into differences between human and model performance, and the conditions under which images are beneficial for text classification.
Spacecraft-Mounted Robotics
Authors: Tsiotras Panagiotis , King-Smith Matthew , Ticozzi Lorenzo
Published: October 2022

Space-mounted robotics is becoming increasingly mainstream for many space missions. The aim of this article is threefold: first, to give a broad and quick overview of the importance of spacecraft-mounted robotics for future in-orbit servicing missions; second, to review the basic current approaches for modeling and control of spacecraft-mounted robotic systems; and third, to introduce some new developments in terms of modeling and control of spacecraft-mounted robotic manipulators using the language of hypercomplex numbers (dual quaternions). Some outstanding research questions and potential future directions in the field are also discussed.
The Resilience of Plant–Pollinator Networks
Authors: Bascompte Jordi , Scheffer Marten
Published: October 2022

There is growing awareness of pollinator declines worldwide. Conservation efforts have mainly focused on finding the direct causes, while paying less attention to building a systemic understanding of the fragility of these communities of pollinators. To fill this gap, we need operational measures of network resilience that integrate two different approaches in theoretical ecology. First, we should consider the range of conditions compatible with the stable coexistence of all of the species in a community. Second, we should address the rate and shape of network collapse once this safe operational space is exited. In this review, we describe this integrative approach and consider several mechanisms that may enhance the resilience of pollinator communities, chiefly rewiring the network of interactions, increasing heterogeneity, allowing variance, and enhancing coevolution. The most pressing need is to develop ways to reduce the gap between these theoretical recommendations and practical applications. This perspective shifts the emphasis from traditional approaches focusing on the equilibrium states to strategies that allow pollination networks to cope with global environmental change.
Integrated control of coronary blood flow in exercising swine by adenosine, nitric oxide, and KATP channels
Authors: Duncker Dirk J. , Sorop Oana , van de Wouw Jens , Fen Gao , de Beer Vincent J. , Taverne Yannick J. , de Graaff Henri J. D. , Merkus Daphne
Published: October 2022

The present study demonstrates important species differences in the regulation of coronary blood flow by adenosine, NO, and KATP channels at rest and during exercise. In swine, these mechanisms follow a linear additive design, as opposed to dogs which follow a nonlinear redundant design. Simultaneous blockade of all three mechanisms virtually abolished exercise-induced coronary vasodilation in dogs, whereas a substantial vasodilator reserve could still be recruited during exercise in swine.
A microtubule-connexin-43 regulatory link suppresses arrhythmias and cardiac fibrosis in Duchenne muscular dystrophy mice
Authors: Himelman Eric , Nouet Julie , Lillo Mauricio A. , Chong Alexander , Zhou Delong , Wehrens Xander H. T. , Rodney George G. , Xie Lai-Hua , Shirokova Natalia , Contreras Jorge E. , Fraidenraich Diego
Published: October 2022

We found that colchicine administration to Cx43-phospho-deficient dystrophic mice fails to protect against Cx43 remodeling. Conversely, Cx43-phospho-mimic dystrophic mice display a normalized MT network. We envision a bidirectional regulation whereby correction of the dystrophic MTs leads to correction of Cx43 remodeling, which in turn leads to further correction of the MTs. Our findings suggest a link between phospho-Cx43 and MTs that provides strong foundations for novel therapeutics in DMD cardiomyopathy.
Serum dihydrotestosterone levels are associated with adverse myocardial remodeling in patients with severe aortic valve stenosis before and after aortic valve replacement
Authors: Schafstedde Marie , Nordmeyer Johannes , Berger Felix , Knosalla Christoph , Mertins Philipp , Ziehm Matthias , Kirchner Marie-Luise , Regitz-Zagrosek Vera , Kuehne Titus , Kraus Milena , Nordmeyer Sarah
Published: October 2022

Serum dihydrotestosterone (DHT) levels correlated positively with the degree of hypertrophy, fibrosis, and dysfunction from cardiac magnetic resonance imaging in female and male patients with aortic valve stenosis. Left ventricular proteome profiling had been performed in this patient cohort and an association between serum DHT levels and the abundance of the hypertrophy-associated protein moesin and the fibrosis-associated protein vimentin was found.
The cisterna chyli: a systematic review of definition, prevalence, and anatomy
Authors: Moazzam Sara , O’Hagan Lomani A. , Clarke Alys R. , Itkin Maxim , Phillips Anthony R. J. , Windsor John A. , Mirjalili S. Ali
Published: October 2022

The cisterna chyli is a lymphatic structure found at the caudal end of the thoracic duct that receives lymph draining from the abdominal and pelvic viscera and lower limbs. In addition to being an important landmark in retroperitoneal surgery, it is the key gateway for interventional radiology procedures targeting the thoracic duct. A detailed understanding of its anatomy is required to facilitate more accurate intervention, but an exhaustive summary is lacking. A systematic review was conducted, and 49 published human studies met the inclusion criteria. Studies included both healthy volunteers and patients and were not restricted by language or date. The detectability of the cisterna chyli is highly variable, ranging from 1.7 to 98%, depending on the study method and criteria used. Its anatomy is variable in terms of location (vertebral level of T10 to L3), size (ranging 2–32 mm in maximum diameter and 13–80 mm in maximum length), morphology, and tributaries. The size of the cisterna chyli increases in some disease states, though its utility as a marker of disease is uncertain. The anatomy of the cisterna chyli is highly variable, and it appears to increase in size in some disease states. The lack of well-defined criteria for the structure and the wide variation in reported detection rates prevent accurate estimation of its natural prevalence in humans.
The protective effect of remote ischemic conditioning is lost in patients with hypercholesterolemia
Authors: Kövamees Oskar , Mahdi Ali , Wodaje Tigist , Verouhis Dinos , Brinck Jonas , Pernow John
Published: October 2022

We investigated the impact of hypercholesterolemia on the protective effect of RIC on ischemia-reperfusion injury in a well-characterized patient population with isolated hypercholesterolemia. The results show that the protective effect of RIC is absent in patients with hypercholesterolemia but is apparent in patients with hypercholesterolemic following treatment with lipid-lowering drugs. The results are of importance for the understanding of how comorbidities affect the therapeutic potential of RIC.
Severe Hypophosphatemia Occurring After Repeated Exposure to a Parenteral Iron Formulation
Authors: Haridas Keerthana , Yau Alice
Published: October 2022

Hypophosphatemia is a less known complication of parenteral iron use, particularly after the use of certain iron formulations. We report the case of a young male with inflammatory bowel disease and iron deficiency anemia, who developed severe symptomatic hypophosphatemia after his third exposure to iron carboxymaltose with no evidence of the same occurring upon prior exposures to the compound. Investigations revealed serum phosphorous levels of 0.7 mg/dl, corrected serum calcium of 8–9.5 mg/dl, alkaline phosphatase of 50 U/L (38–126), 25 hydroxy vitamin D level of 40.2 ng/ml, and intact PTH elevated to 207 pg/ml. Urine studies indicated renal phosphate wasting. Presentation was not in keeping with refeeding syndrome. Intact fibroblast growth factor 23 level, measured after the initiation of treatment was within the normal range at 179 RU/mL (44–215). 1,25 dihydroxy vitamin D level, also measured after the initiation of treatment, was normal at 26.3 pg/ml (19.9–79.3). The patient was treated with calcitriol and aggressive oral and intravenous phosphorous repletion. Symptoms then resolved and the patient was discharged on an oral regimen. This phenomenon is postulated to occur due to an increase in the level and activity of FGF23 and decreased cleavage of the same, due to anemia as well as use of specific iron formulations. This is the first instance, in our literature review, of this complication known to occur, not after initial exposure to an implicated iron formulation but occurring on subsequent exposure.
Grape Leaf Disease Classification Combined with U-Net++ Network and Threshold Segmentation
Authors: Wang Guowei , Wang Jiawei , Wang Jiaxin , Sun Yadong
Published: October 2022

Applying the method of semantic segmentation to the segmentation of grape leaves is an important method to solve how to segment grape leaves from complex backgrounds. This article uses U-net++ convolutional neural network to segment grape leaves from complex backgrounds using MIOU, PA, and mPA as evaluation metrics. After the leaves are segmented, the OTSU threshold segmentation + EXG algorithm is used to extract the diseased spots of grape leaves and healthy grape leaves by increasing the proportion of green vectors. Grape leaf disease was automatically graded by the ratio of the healthy green part of the grape to the total leaf area.
Relationship between Dynamic Changes of Microcirculation Flow, Tissue Perfusion Parameters, and Lactate Level and Mortality of Septic Shock in ICU
Authors: Yang Xuebing , Zhou Yaqing , Liu Aiming , Pu Zunguo
Published: October 2022

Background. Septic shock is a common clinical critical disease with high mortality, hemodynamic instability, and easy to be complicated with multiple organ failure. The rapid progress of the patient’s condition poses a serious threat to patient’s safety. Aim. To investigate the relationship between the dynamic monitoring of microcirculation perfusion parameters and blood lactic acid level and the prognosis of patients with infection shock in ICU. Methods. A total of 104 patients with septic shock admitted to ICU of Affiliated Hai’an Hospital of Nantong University from February 2018 to June 2021 were selected for clinical research. According to the survival situation of patients after 28 days of treatment, they were divided into the death group (n = 48) and the survival group (n = 56). The central venous‐arterial carbon dioxide partial pressure difference (Pcv‐aCO2), the ratio of central venous‐arterial carbon dioxide partial pressure difference to arterial central venous oxygen content difference (Pcv‐aCO2/Ca‐cvO2), and blood lactic acid level were retrospectively analyzed and compared between the two groups on the first, third, and seventh days after admission to ICU. The odds ratio (OR) of three indexes affecting the prognosis of patients with septic shock was analyzed by univariate and multivariate mathematical models, and the value of three indexes in predicting the prognosis of patients was analyzed by receiver operating curve (ROC). Results. Pcv‐aCO2 and lactic acid in the death group were higher than those in the survival group on the 1st, 3rd, and 7th day of ICU stay (P < 0.05). The Pcv‐aCO2/Ca‐cvO2 of the death group was higher than that of the survival group on the 3rd and 7th day of ICU stay (P < 0.05). Logistic model results showed that age, SOFA score, APACHE II score, the number of multiple organ failure (MODS), intracranial infection, the increase of Pcv‐aCO2, Pcv‐aCO2/Ca‐cvO2, and the increase of lactic acid were independent risk factors for death in patients with septic shock (OR values were 1.519, 1.808, 1.781, 1.912, 2.069, 1.848, 1.781, and 1.642, respectively, P < 0.05). The results showed that the AUC value of Pcv‐aCO2 in predicting death was 0.943, and the sensitivity and specificity were 93.72% and 83.09%, respectively. The AUC value of Pcv‐aCO2/Ca‐cvO2 for predicting death was 0.887, and the sensitivity and specificity were 81.63% and 77.56%, respectively. The AUC value of lactic acid in predicting death of patients was 0.825, and the sensitivity and specificity were 71.66% and 82.09%, respectively. Conclusion. Changes of microcirculation flow tissue perfusion parameters and blood lactic acid level changes are closely related to the prognosis of patients with septic shock, which is of great value in the evaluation of the prognosis of patients with septic shock.
Association of ERCC1 rs11615 Polymorphism with the Risk of Cervical Cancer Especially in Chinese Populations: A Meta-Analysis
Authors: Zhang Yufeng , Teng Yue , Zhu Yuanjie , Wu Yi , Wen Yuting , Liu Xinjian , Li Dake
Published: October 2022

Abnormalities of the ERCC1 gene can affect DNA repair pathways, thereby having a vital effect on genomic stability. A growing amount of case-control studies have focused on making an investigation of the association between ERCC1 rs11615 polymorphism and cervical cancer susceptibility. However, the controversial results have raised concerns. To draw a more accurate conclusion, six studies were elaborately selected from the electronic databases for this meta-analysis, with 753 cervical cancer cases and 851 healthy controls. We applied pooled ORs combined with 95% CIs to test the potential associations. Significant associations were revealed in Chinese populations (T vs C:

OR
=
1.557

and

95
%
CI
=
1.234
–
1.966

; TT vs CC:

OR
=
3.175

and

95
%
CI
=
1.754
–
5.748

; TT/CT vs CC:

OR
=
1.512

and

95
%
CI
=
1.126
–
2,031

; and TT vs CT/CC:

OR
=
2.836

and

95
%
CI
=
1.592
–
5.051

). Even when the studies deviating from HWE were excluded, an increased cervical cancer susceptibility was observed in Chinese. These results disclose that there is an obvious correlation between the risk of cervical cancer and ERCC1 rs11615 polymorphism, especially in Chinese populations, and the T variant is the risky one. Also, our findings need further studies to validate.
Hematopoietic Stem Cell Transplantation for Acute Myeloid Leukemia: An Overview of Systematic Reviews
Authors: He Peijie , Liang Juan , Zhang Wanjun , Lin Shengyun , Wu Hanting , Li Qiushuang , Xu Xiujuan , Ji Conghua
Published: October 2022

Background. Hematopoietic stem cell transplantation (HSCT) has become the main treatment for acute myeloid leukemia (AML) and has been studied in many systematic reviews (SRs), but strong conclusions have not been drawn yet. Objective. This study aimed to summarize and critically evaluate the methodological and evidence quality of SRs and meta-analysis on this topic. Methods. PubMed, Embase, the Cochrane Library, and Web of Science were searched for SRs/meta-analyses regarding HSCT for AML. Two reviewers assessed the quality of SRs/meta-analyses in line with AMSTAR-2 and evaluated the strength of evidence quality with the grading of the evaluation system (GRADE) for concerned outcomes independently. Results. 12 SR/Meta articles were included, and the AMSTAR-2 scale showed that the quality grade of all articles was low or very low. GRADE results showed 29 outcomes, 2 of which were high, 12 were moderate, and 15 were low. Limitations and inconsistency were the most important factors leading to degradation, followed by imprecision and publication bias. Allo-SCT had better OS and DFS benefits than auto-SCT and significantly reduced the relapse in intermediate-risk AML/CR1 patients. Auto-SCT was associated with lower TRM than allo-SCT but generally had higher relapse. The results should be confirmed further for the low or moderate evidence quality. Conclusion. Current SRs show that allo-SCT in the treatment of AML might improve the OS, RFS, and DFS. Auto-SCT has significantly lower TRM but higher RR. Whether bone marrow transplantation is superior to nonmyeloablative chemotherapy remains to be evaluated. Meanwhile, the quality of methodology needs to be further improved. The intensity of evidence was uneven, and the high-quality evidence of outcomes was lacking. Considering the limitations of our overview, more rigorous and scientific studies are needed to fully explore the efficacy of different interventions of HSCT in AML, and clinicians should be more cautious in the treatment.
Integrated Evaluation of Financial Risk in Coal Industry Restructuring: A Model of Linear Regression and PCA
Authors: Yuan Xianping , Zhang Ziqiu
Published: October 2022

Aiming at the integrated evaluation problem of financial risk in coal industry restructuring, a model of linear regression and PCA is put forward. This paper studies the univariate correlation and multivariable mixed correlation between the main business income and the book value of fixed assets and nonfixed assets in the statements of coal listed companies and gives the correlation function between the variables by using a variety of univariate linear, univariate nonlinear, and binary linear regression methods. It also points out that the coal enterprises in China are basically in the stage of increasing scale income at the present stage and can continue to achieve rapid increase in profits through mergers and acquisitions and other expansion methods. At the same time, it is also concluded that nonfixed assets, namely, intangible assets and human capital, contribute more to the main business income of coal enterprises in China, which objectively proves the correctness of our thinking of developing knowledge economy.
Sensitivity Analysis of Stationarity Tests’ Outcome to Time Series Facets and Test Parameters
Authors: Bawdekar Advait Amol , Prusty B. Rajanarayan , Bingi Kishore
Published: October 2022

Time series stationarity is vital for the effective implementation of forecasting models. Time series of renewable generation rich power system input variables such as photovoltaic generations, wind power generations, load power, and ambient temperature have inherent time series facets such as trend, seasonality, and volatility. These inherent facets, combined with the length of the time series or time series clustering, have a propensity to bias the stationarity tests’ outcome. This research conducts a rigorous comparative analysis to assess the tests’ sensitivity to different time series facets. A seasonal, nonstationary load power time series and its derived time series with synthetically embedded trend and volatility effects are used to help the study capture tests’ sensitivity to the above time series facets. This comprehensive analysis and discussion, via a set of well-delineated figures and tables, are expected to assist novice researchers in choosing a group of suitable tests for checking time series stationarity.
[Retracted] An Empirical Analysis of the Effects of Physical Exercise on Adolescent Mental Health and Its Mediating Mechanisms
Authors: Zou Junfeng
Published: October 2022

The use of physical exercise for the purpose of maintaining adolescents’ mental health is an important topic of psychological research. However, there is no unified conclusion on the effect of physical exercise time on the level of mental health. This paper investigates the causal effect of physical activity on adolescent mental health using a multilayer linear modeling approach and a Bootstrap method to test for possible mediating effects. The results of the study showed that there was a nonlinear inverted U‐shaped relationship between physical activity time and adolescent mental health, with a threshold value of 105 min, and the results of the mediating effect analysis showed that self‐assessment of health, self‐confidence, academic stress, peer relationships, and positive peer behaviour were important mediating mechanisms between physical activity and mental health. The results of the mediation effect analysis showed that physical exercise was an important mediating mechanism between self‐assessment, confidence, academic stress, peer relationship, and positive peer behaviour.
A Novel Low-Velocity Impact Region Identification Method for Cantilever Beams Using a Support Vector Machine
Authors: Wang Fengde , Kang Yongtian , Xiao Wensheng , Li Changjiang , Liu Qi
Published: October 2022

Damage induced by a low-velocity impact can reduce the stability and reliability of structures. In this study, a novel low-velocity impact region identification method based on the spectral peak frequency (SPF) and support vector machine (SVM) is proposed to identify the low-velocity impact regions on a steel cantilever beam. A low-velocity impact region identification system of the cantilever beam is established by applying fiber Bragg grating (FBG) sensors, and only 2 sensors are used in this system. The power spectral density functions of the impact response signal are smoothed using the linear weighting method to remove pseudospectral peak frequencies, and then, SPFs are extracted as the features. For 25 low-velocity impact regions with dimensions of 30 mm × 10 mm, the results show that the recognition rate obtained by the proposed method is 100% and the feature vector consisting of the first two SPFs with the largest amplitude has the highest recognition rate. Through the comparative study, it is found that the recognition rate of SVM is higher than that of the probabilistic neural network (PNN) and extreme learning machine (ELM) for low-velocity impact area recognition of cantilever beams. As a result, the low-velocity impact region identification method of this paper can be applied to the real-time health monitoring of cantilever beam structures.
[Retracted] Investigation on the Inhibitory Effect of Methotrexate on Rheumatoid Synovitis via the TLR4‐NF‐κB Pathway in a Rat Model
Authors: Zhang Xiaogang , Zhang Mingming , Liu Yanqing , Wang Zhiqiang , Feng Xing , Liu Ning , Zhao Dongbao
Published: October 2022

Rheumatoid arthritis (RA) is a rheumatoid immune system disease characterized by joint inflammation, resulting in synovial hyperplasia, articular cartilage damage or distortion, and extra‐articular involvement. The morbidity is higher and the treatments are not effective in clinical, and also no unified to the pathogenesis of such diseases. The aim of this paper is to establish a rat model of rheumatoid synovitis and observe the inhibitory effect of methotrexate on this disease. A total of 100 SD rats are selected and randomly divided into 5 groups, with 20 rats in each group. The cold and damp factors of rheumatoid arthritis are induced by cold water and the arthritis score is used to verify the model. ELISA is used to measure the protein expression of Toll‐like Receptor 4 (TLR4), Nuclear Factor kappa‐B (NF‐κB) and inflammation‐related factors, and SPSS25.0 is used for statistical analysis. The results show that there is no significant difference in inflammatory scores among the four groups except the control group. However, after 3 months of intervention, the inflammatory scores in the methotrexate groups are significantly lower than those in the model group, and in the methotrexate group, the higher the dose, the lower the inflammatory scores. The experimental results show that the messenger ribonucleic acid (mRNA) and protein expressions of TLR4 and NF‐κB from high to low are in the order of model group > low dose > middle dose > high dose > control group, and the expression trend of inflammation‐related factors is the same as mentioned above. These results indicate that methotrexate can repair rheumatoid synovitis by inhibiting the inflammatory signaling pathway TLR4‐NF‐κB.
[Retracted] The Effects of Sequential Ventilation Therapy on Blood Gas Indexes, Pulmonary Function Indexes, Clinical Efficacy, and Safety in Patients with Severe Cor Pulmonale
Authors: Cheng Jianmeng , Dou Xingxing , Zhao Na
Published: October 2022

As a heart disease caused by pulmonary arterial hypertension, pulmonary heart disease has a high incidence and poor clinical prognosis in the elderly. Including mechanical ventilation in the current clinical treatment of cor pulmonale, with the development of medical technology, traditional invasive mechanical ventilation has been pointed out to have certain clinical limitations, so new invasive and noninvasive sequential ventilation treatments are gradually being used. Applied in clinical practice, this article selected 96 patients with severe cor pulmonale in our hospital from January 2020 to May 2021 as the research object and conducted a randomized prospective study. The experimental results show that the two general methods can improve the blood gas index and pulmonary function index of patients with heart disease and pulmonary dysfunction, but the improvement of the above indexes by the sequence of action of gas therapy is better than that of conventional invasive mechanical ventilation.
Identification of Prognostic LncRNAs Subtypes Predicts Prognosis and Immune Microenvironment for Glioma
Authors: Chen Fei , Peng Xing , Teng Zhipeng , Long Haibo , Wu Haibo
Published: October 2022

Glioma is the most commonly occurring primary neuroepithelial neoplasm. Long noncoding RNAs (lncRNAs) are emerging as pivotal modulators of gene expression in the immune system and play critical roles in the growth, progression, and immune response of carcinomas. In this study, we performed univariate Cox regression analysis on survival data from TCGA and identified 20 prognostic lncRNAs. Moreover, we revealed that these prognosis-related lncRNAs (PRLnc) were dysregulated in glioma. Furthermore, we constructed a signature based on the expression levels of these prognosis-related lncRNAs based on 13 prognostic lncRNAs, including AGAP2-AS1, CYTOR, MIR155HG, LINC00634, HOTAIRM1, SNHG18, LINC01841, LINC01842, LINC01426, MIR9-3HG, TMEM220-AS1, LINC00641, LINC01270, and LINC01503. The Kaplan–Meier curves show that high-risk patients had a shorter survival time. Finally, the glioma samples were classified into 2 subgroups based on the median expression of prognosis-related lncRNAs in each sample. In summary, these findings suggest that PRLnc is associated with tumor-infiltrating immune cells in glioma and that subtype 2 patients may respond more positively to immunotherapy.
Design of the Intelligent Recognition Model for English Translation Based on the BP Neural Algorithm
Authors: Wang Zhan
Published: October 2022

With the development of modern intelligent recognition, many intelligent recognition translation tools have emerged. These translation tools mainly include machine learning, neural network, KNN, and other artificial intelligence technologies. These technologies have been applied to many fields. Among them, machine translation is the most important and widely used one. A large number of English translation technologies have appeared in this development era. However, the translation accuracy of intelligent recognition technology cannot be guaranteed. Under the background of this English translation environment, we design an intelligent recognition algorithm of English translation based on the BP neural algorithm to improve the rationality of English translation and analyze the intelligent recognition model of English translation. The following conclusions are drawn from the experimental comparison Four Methods of Translation. (1) Compared with some similar algorithms, machine translation based on the BP neural algorithm has many characteristics, such as convenience, which are very suitable for English translation. (2) The intelligent recognition model of English translation using the BP neural network makes the sentence flow higher, which can solve some problems in translation and achieve coherent translation in context. (3) The intelligent recognition model with the BP neural network as the core realizes a variety of permutations and combinations of different characteristics of complex English sentences, solves many poor English sentences, and significantly improves the accuracy of English translation.
Effect of Zhuyun I Recipe Capsule Enema on the Immune Microenvironment of the Endometrium during Implantation Window in Rats
Authors: Zhou Hang , Guo Pei , Zeng Pengfei , Yin Zhixing , Yan Li , Huang Jinzhu , Wang Yi , Li Juan , Xia Wanting , Wang Yang , Liu Chang , Zeng Qian
Published: October 2022

Background. Preterm birth is the leading cause of neonatal death, and there are no effective clinical means for the prevention and treatment of spontaneous preterm birth, mainly because the mechanism for labor initiation has not been fully elucidated. Objective. The effect of enucleation with Zhuyun I Recipe Capsule enema (ZRC) on the maternal-fetal interface microenvironment in SD rats with kidney deficiency and blood stasis. Methods. In this study, poor endometrial tolerance was induced by hydroxyurea and epinephrine in SD rats with kidney deficiency and blood stasis type of endometrium, and gavage with norethindrone (estradiol) or Bamboo Rhythm No.1 formula. HOXA10 mRNA levels were measured by qPCR. In addition, the expression of IL-6, VEGF, TGF–β, and IGFBP-1 in the uterus was detected by IHC and ELISA. Results. Hydroxyurea- and epinephrine-induced PER was associated with low levels of HOXA10 in the endometrium and reduced levels of IL-6, TGF-β, VEGF, and IGFBP-1 in the endometrium. These were abolished by ZRC and Progynova treatment compared to PER rats, resulting in a dramatic increase in the levels of HOXA10 mRNA, IL-6, TGF-β, VEGF, and IGFBP-1 proteins. Conclusions. ZRC improves metaplasticization of endometrial stromal cells and promotes angiogenesis in rats with kidney deficiency and blood stasis. The moderate dose of kidney tonic to promote blood circulation method is superior in promoting angiogenesis, facilitating the establishment and maintenance of pregnancy, limiting trophoblast invasion of metaplasia, reducing miscarriage, and improving pregnancy rate.
An Efficient Convolutional Neural Network with Transfer Learning for Malware Classification
Authors: AlGarni Musaad Darwish , AlRoobaea Roobaea , Almotiri Jasem , Ullah Syed Sajid , Hussain Saddam , Umar Fazlullah
Published: October 2022

Rising prevalence of malicious software (malware) attacks represent a serious threat to online safety in the modern era. Malware is a threat to anyone who uses the Internet since it steals data and causes damage to computer systems. In addition, the exponential growth of malware hazards that affect many computer users, corporations, and governments has made malware detection, a popular issue in academic study. Current malware detection methods are slow and ineffectual because they rely on static and dynamic analysis of malware signatures and behavior patterns to detect unknown malware in real-time. Thus, this paper discusses the role of deep convolution neural networks in malware classification and solutions for utilizing machine learning to detect and classify malware families through transfer learning. We proposed a CNN pretrained model learning to classify malware families. The experiment was conducted using two classification datasets, including Malimg and ImageNet. We classified the Malimg dataset, which has turned malware binaries into malware images by using Portable Executable. The result shows that the EfficientNet3 model achieved a high accuracy of 99.93%.
Method for Quantum Denoisers Using Convolutional Neural Network
Authors: Kim Bong-Hyun , Madhavi S.
Published: October 2022

In many applications of quantum information science, high-dimensional entanglement is needed. Quantum teleportation is used for transferring information from one place to another using Einstein–Podolsk–Rosen pairs (EPR) and two classical bits of communication in a channel. Since we cannot produce multiple copies of an unknown state for amplification, we will generate multiple EPR pairs. However, after the distribution of the EPR pairs, they will have decreased fidelity with the ideal EPR state. So, to maintain the quantum states and maximize the quantification of the entanglement without losing the strength of the states, we propose to denoise the channel for a few types of noise. We created a random noise source and filtered out the irrelevant information without affecting the relevant information encoded in the quantum states. The proposed model is used for successful denoising of GHZ states from spin flips and bit flip errors. Much of the research work is not carried out by using machine-language-based neural networks for noise-reduction in quantum channels. In this paper, we propose a denoiser called quantum denoiser CNQD, which uses a feedforward convolution neural network model. We tuned our model with highly entangled GHZ states with zero phases and phase between [0, ∏] mixed with different kinds of noise. Finally, the proposed model can be used for optimal quantum communication via noisy quantum channels using GHZ states.
The Application of Complementary and Alternative Medicine in Polycystic Ovary Syndrome Infertility
Authors: Shi Yu-Qian , Wang Yi , Zhu Xi-Ting , Yin Rui-Yang , Ma Yi-Fu , Han Han , Han Yan-Hua , Zhang Yue-Hui
Published: October 2022

Polycystic ovary syndrome (PCOS) is a lifelong reproductive endocrine disease, which is the most common cause of anovular infertility. Modern medicine mainly treats infertile patients with PCOS by improving living habits, ovulation induction therapy, and assisted reproductive technology (ART), but the effect is not satisfied. Complementary alternative medicine (CAM) has conspicuous advantages in the treatment of PCOS infertility due to its good clinical efficacy, wide mechanism of action, and no obvious adverse reactions, but its safety and effectiveness in the treatment of PCOS infertility have not been proved. Based on the existing clinical and experimental studies, this paper looks for the therapeutic effect and the mechanism behind it, and explores the safety and effectiveness of its treatment in PCOS infertility, in order to provide reference for future clinical treatment and experimental research.
Analysis of LINC01314 and miR-96 Expression in Colorectal Cancer Patients via Tissue Microarray-Based Fluorescence In Situ Hybridization
Authors: Zhang Runan , Zhang Genhua , Li Baohua , Wang Juan , Wang Jvfang , Che Jia , Wang Xiaojun , Zhang Zhen
Published: October 2022

Background and Objective. Long noncoding RNAs (lncRNAs) have attracted increasing attention as novel biomarkers facilitating early diagnosis, prognostic predictions, and treatment of colorectal cancer (CRC). LINC01314 is aberrantly expressed in many cancers, suggesting its role in tumor development. However, its expression and underlying molecular mechanism in CRC remain to be clarified. The aim of this study was to evaluate the expression levels of LINC01314 and its potentially interacting microRNA (miRNA) miR-96 in CRC patients, as well as clinical values. Methods. A tissue microarray (TMA) containing 76 individual colorectal tumor samples and 28 adjacent normal samples was constructed, and the expression levels of LINC01314 and miR-96 were detected by fluorescence in situ hybridization. Results. The expression levels of both LINC01314 and miR-96 were upregulated in CRC tissues and were associated with vascular metastasis (

p
<
0.05

). A significantly positive correlation was observed between LINC01314 and miR-96 expression in tumor tissues (

p
<
0.001

,

r
=
0.870

). Dominant expression of LINC01314 was a risk factor for both blood vessel invasion (

p
<
0.05

) and poor 5-year survival (

p
=
0.001

, hazard

ratio
=
4.144

). The Kaplan–Meier analysis indicated that patients with LINC01314-dominant expression exhibited worse 5-year survival rates than those with miR-96-dominant expression (

p
<
0.05

). Conclusion. The expression patterns of both LINC01314 and miR-96 may be diagnostic of, and prognostic for, CRC. These findings will facilitate further exploration of the molecular mechanism of lncRNAs in CRC.
Secrecy Energy Efficiency Optimization for Reconfigurable Intelligent Surface-Aided Multiuser MISO Systems
Authors: Bian Jinhong , Wang YuanYuan , Zhou Feng
Published: October 2022

Currently, the reconfigurable intelligent surface (RIS) has been applied to improve the physical layer security in wireless networks. In this paper, we focus on the secure transmission in RIS-aided multiple-input single-output (MISO) systems. Specifically, by assuming that only imperfect channel state information (CSI) of the eavesdropper can be obtained, we investigated the robust secrecy energy efficiency (SEE) optimization via jointly designing the active beamforming (BF), artificial noise (AN) at Alice, and the passive phase shifter at the RIS. The formulated problem is hard to handle due to the complicated secrecy rate expression as well as the infinite constraints introduced by the CSI uncertainties. By utilizing the Taylor expansion, we transformed the fractional programming into a convex problem, while all the constraints are approximated via the successive convex approximation and constrained concave-convex procedure. Then, by using the extended S-Lemma, we transform the infinite constraints into linear matrix inequality, which is convex. Finally, an alternate optimization (AO) algorithm was proposed to solve the reformulated problem. Simulation results demonstrated the performance of the proposed design.
Effects of Dietary Resveratrol, Bile Acids, Allicin, Betaine, and Inositol on Recovering the Lipid Metabolism Disorder in the Liver of Rare Minnow Gobiocypris rarus Caused by Bisphenol A
Authors: Zhang Yingying , Jiang Yinan , Wang Ziying , Wang Jiayu , Zhu Mingzhen , Yang Hui
Published: October 2022

The fatty liver is one of the main problems in aquaculture. In addition to the nutritional factors, endocrine disrupter chemicals (EDCs) are one of the causes of fatty liver in fish. Bisphenol A (BPA) is a plasticizer widely used in the production of various plastic products and exhibits certain endocrine estrogen effects. Our previous study found that BPA could increase the accumulation of triglyceride (TG) in fish liver by disturbing the expression of lipid metabolism-related genes. How to recover the lipid metabolism disorder caused by BPA and other environmental estrogens remains to be explored. In the present study, Gobiocypris rarus was used as a research model, and 0.01% resveratrol, 0.05% bile acid, 0.01% allicin, 0.1% betaine, and 0.01% inositol were added to the feed of the G. rarus that exposed to 15 μg/L BPA. At the same time, a BPA exposure group without feed additives (BPA group) and a blank group with neither BPA exposure nor feed additives (Con group) were setted. The liver morphology, hepatosomatic index (HSI), hepatic lipid deposition, TG level, and expression of lipid metabolism-related genes were analyzed after 5 weeks of feeding. The HSI in bile acid and allicin groups was significantly lower than that in Con group. The TG in resveratrol, bile acid, allicin, and inositol groups returned to Con level. Principal component analysis of TG synthesis, decomposition, and transport related genes showed that dietary bile acid and inositol supplementation had the best effect on the recovery of BPA-induced lipid metabolism disorder, followed by allicin and resveratrol. In terms of lipid metabolism-related enzyme activity, bile acid and inositol were the most effective in recovering BPA-induced lipid metabolism disorders. The addition of these additives had a restorative effect on the antioxidant capacity of G. rarus livers, but bile acids and inositol were relatively the most effective. The results of the present study demonstrated that under the present dosage, bile acids and inositol had the best improvement effect on the fatty liver of G. rarus caused by BPA. The present study will provide important reference for solving the problem of fatty liver caused by environmental estrogen in aquaculture.
Analysis of the Effect of Quality Nursing on Recovery after Thoracic Surgery
Authors: Zhou Yujing , Xu Ming
Published: October 2022

Objective. To observe the feasibility and safety of rapid rehabilitation nursing in the perioperative period of thoracoscopic treatment of lung cancer patients. Rapid rehabilitation nursing was compared with conventional perioperative nursing to explore its clinical efficacy, i.e., its advantages in improving postoperative comfort, postoperative rehabilitation efficiency, and hospitalization cost of patients undergoing thoracoscopic lung cancer resection. Methods. We carried out a retrospective analysis of 337 lung cancer patients who underwent lobectomy in our thoracic surgery department from July 2019 to June 2021, of which 168 lung cancer patients whose perioperative care method was traditional rehabilitation care were classified as A and 169 lung cancer patients who started to implement the intelligent medical intervention method in the department in September were classified as intelligent medical B. By reviewing patient cases and departmental statistics, general information, length of stay, hospitalization cost, complication rate, pain score, bowel movement recovery time, and pulmonary function index of the two groups A and B were compared. Nursing satisfaction was investigated by using a questionnaire. All the data in the study were processed and analyzed using SPSS 17.0 software. Results. There were no differences in preoperative general data, pathological findings, preoperative underlying diseases, lesion involvement sites, and postoperative TNM stages (

P
>
0.05

), which were comparable; the incidence of postoperative pulmonary infection and atelectasis complications, postoperative hospitalization time, and hospitalization cost were lower in group B than in group A; the postoperative chest tube drain placement time was shorter in group B than in group A, and the difference between the two groups was statistically significant (

P
<
0.05

). The incidence of postoperative pain and discomfort in group B was lower than that in group A, and the difference between the two groups was statistically significant (

P
<
0.05

); the incidence of postoperative chest pain, bleeding, pneumothorax, pulmonary infection, and atelectasis in group B was lower than that in group A, and the difference between the two groups was statistically significant (

P
<
0.05

). Conclusion. Intelligent medical rehabilitation nursing has good application value in thoracoscopic lung cancer surgery. Applying the concept of intelligent medical rehabilitation nursing provides an important experimental basis and theoretical basis for improving the postoperative survival quality and clinical symptoms of patients undergoing thoracoscopic lung cancer resection, which helps to promote the postoperative recovery of patients with thoracoscopic lung cancer, improves the recovery efficiency of patients and their overall quality of life, and is superior to the conventional nursing group.
Nontarget Suppression in Ball Sports Multitarget-Tracking Task
Authors: Li Manchao , Zhang Liying
Published: October 2022

In order to solve the problem of large interference caused by nontarget tasks on the ball sports field, the author proposes a method for multitarget-tracking tasks. By changing the movement speed of the athletes in the expert group, the novice group, and the control group, we investigate the performance of visual attention tracking and neural oscillatory characteristics in ice hockey players. Experimental results show that the main effect of speed was significant (F = 120.58,P<0.01,ηP2 = 0.81), and post hoc comparison results showed that the faster the movement speed, the lower the tracking accuracy. The main effect of speed was significant (F = 31.96,P<0.01,ηP2 = 0.53). Post hoc comparison results showed that the faster the movement speed, the lower the ERSP value of the high-frequency alpha rhythm. It proves the influence of speed on the inhibitory effect of nontarget tasks, which is beneficial for athletes to suppress more interference information brought by opponents or the court in the game and plays an important role in improving sports performance and developing the scientific level of sports.
The Application of Artificial Intelligence in the Dissemination of Local Culture in Hainan Province: Taking the Dissemination of Bai Yuchan’s Thoughts as an Example
Authors: Yu Yuxiu , Wang Honghai
Published: October 2022

Bai Yuchan’s Taoist thought is an important part of Taoist health-preserving thought. Excavating, sorting out, and translating Bai Yuchan’s Taoist thought will not only help increase cultural self-confidence and protect traditional culture but also become an important medium for foreign exchanges. With the advent of the digital age, artificial intelligence has helped the dissemination of excellent traditional Chinese culture with its unique technological advantages, improving the effectiveness, intensity, and breadth of cultural dissemination. In domain machine translation, whether domain terms can be correctly translated plays a decisive role in the translation quality. It is of practical significance to effectively integrate domain terms into neural machine translation models and improve the translation quality of domain terms. This paper proposes a method of incorporating new Bai Yuchan’s thought term information as prior knowledge into neural machine translation. Using the term dictionary constructed from Bai Yuchan’s thought bilingual terminology knowledge base as a medium, two different knowledge integration methods are proposed and compared: (1) term replacement, which means using the target term to replace the source term on the source language side, and (2) term addition, which means splicing the source term and the target term on the source language side and both the source language side and the target language side. Use identifiers as special external knowledge to identify the beginning and end of the target term. Based on the Chinese-English bilingual alignment corpus of New Bai Yuchan’s thoughts and the constructed Chinese-English alignment termbase, the experiments are carried out. The results show that on the test set, the BLEU value of the proposed method is 6.38 and 6.38 higher than the baseline experiments, respectively, which proves that the proposed method can effectively incorporate domain terminology knowledge into the translation model and improve the translation quality of domain terminology.