bluuebunny/crossref_metadata_2025 huggingface dataset:
Image Color Recognition and Optimization Based on Deep Learning
Authors: Li Peng
Published: August 2022

In order to solve the problem of image color recognition, this paper proposes a method of image color recognition and optimization based on deep learning and designs a postprocessing framework based on word bag model (bow). The framework uses CNN features and calculates feature similarity. The image sets with high similarity are input into the image classifier trained by bow clustering model as the preliminary retrieval results. The retrieval results are the categories with the largest number of images. The experimental results show that the image retrieval accuracy of the framework is 90.4% based on the same data set and classification category, which is 10% higher than the image retrieval algorithm based on CNN features. Conclusion. The color matching degree between the image color and the image to be retrieved has been greatly improved.
Analysis of the B2M Expression in Colon Adenocarcinoma and Its Correlation with Patient Prognosis
Authors: Lin Hailian , Wang Kelang , Zou Kebing , Wang Yuanyuan , Que Gen xiang , Yang Xuefeng , Liao Mengdan
Published: August 2022

Colon adenocarcinoma (COAD) is one of the most common malignant tumors in clinics. It is often found at an advanced stage, with high incidence and poor prognosis; early diagnosis is difficult and treatment methods are limited. In order to find new methods for diagnosis and treatment of COAD, people pay more and more attention to the discovery and functional research of new oncogenes and tumor suppressor genes of COAD. β2-microglobulin (B2M) plays different physiological and pathological roles in tumor cells and nontumor cells. At present, there is no public report on the expression of B2M in COAD. In this study, the expression of B2M mRNA in COAD tissues was compared with that in normal tissues. The relationship between the expression of B2M mRNA and the stage, histological subtype, lymph node metastasis, TP53 mutation, and survival time of COAD was discussed. It was found that B2M is a potential tumor suppressor gene in COAD. The decreased expression of B2M after mutation can cause immune escape of COAD cells, thus affecting the therapeutic effect and prognosis. This study provides a new idea for the prevention and treatment of COAD.
Analysis and Prediction of Influence Factors of Green Computing on Carbon Cycle Process in Smart City
Authors: Huang Xianghua , Chen Shidong , Xiong Decheng , Xu Chao , Yang Zhijie
Published: August 2022

Global warming has become the focus of attention of the international community, and the control of carbon dioxide emissions has become one of the necessary choices for the development strategies of countries around the world. Cities are places where carbon dioxide emissions are concentrated. The key to controlling carbon emissions is to control the carbon emissions of cities. My country is currently in the process of rapid urbanization. Quantitative studies of the carbon cycle at the city level will help to take stock of carbon dioxide emissions in cities. On the other hand, it is helpful to understand the status and role of the urban carbon cycle in the process of the regional carbon cycle. Through the analysis and prediction of the elements influencing the carbon cycle of smart cities, this paper first determines the factors affecting smart cities in the carbon cycle process as industrial carbon emission strength factors, industrial structure effects, economic development factors, and population elements. It is found that the major positive factors affecting the significant add of CO2 emissions in smart cities from 2010 to 2019 are economic development factors and demographic factors, including economic development factors GDP/per capita GDP. The per capita contribution to CO2 emissions is higher than the model established by adjusting the affecting elements of overall CO2 emissions, except that the proportion of economic development factors in total CO2 emissions from 2013 to 2015 was lower than the increase in total CO2 emissions. The comparison can better reflect the relation between CO2 emissions and influencing elements. The main determinants affecting CO2 emissions are the expansion of the financial condition, the increase in the average daily population, and the increase in construction work. The adaptation index is judged to be consistent, indicating that the model adjustment effect is good; finally, the green computing in the smart city predicts the carbon cycle process, and the actual value trend line and the predicted value trend line are not much different from the practical value, the forecast error is small, and the prediction results are credible. Global warming has become the focus of attention of the international community, and carbon emission control has become one of the necessary options in the development strategies of countries around the world. Cities are the places where carbon emissions are concentrated. The key to controlling carbon emissions is to control urban carbon emissions. At present, my country is in the process of rapid urbanization. Quantitative research on the carbon cycle at the city level will help to establish an inventory accounting of urban carbon emissions. On the other hand, it is convenient to deeply understand the status and role of the urban carbon cycle in the process of the regional carbon cycle.
A Critical Scrutiny on Liposomal Nanoparticles Drug Carriers as Modelled by Topotecan Encapsulation and Release in Treating Cancer
Authors: Mills Hilla , Acquah Ronald , Tang Nova , Cheung Luke , Klenk Susanne , Glassen Ronald , Pirson Magali , Albert Alain , Hoang Duong Trinh , Van Thang Nguyen
Published: August 2022

The medical field is looking for drugs and/or ways of delivering drugs without harming patients. A number of severe drug side effects are reported, such as acute kidney injury (AKI), hepatotoxicity, skin rash, and so on. Nanomedicine has come to the rescue. Liposomal nanoparticles have shown great potential in loading drugs, and delivering drugs to specific targeted sites, hence achieving a needed bioavailability and steady state concentration, which is achieved by a controlled drug release ability by the nanoparticles. The liposomal nanoparticles can be conjugated to cancer receptor tags that give the anticancer-loaded nanoparticles specificity to deliver anticancer agents only at cancerous sites, hence circumventing destruction of normal cells. Also, the particles are biocompatible. The drugs are shielded by attack from the liver and other cytochrome P450 enzymes before reaching the desired sites. The challenge, however, is that the drug release is slow by these nanoparticles on their own. Scientists then came up with several ways to enhance drug release. Magnetic fields, UV light, infrared light, and so on are amongst the enhancers used by scientists to potentiate drug release from nanoparticles. In this paper, synthesis of liposomal nanoparticle formulations (liposomal-quantum dots (L-QDs), liposomal-quantum dots loaded with topotecan (L-QD-TPT)) and their analysis (cytotoxicity, drug internalization, loading efficiency, drug release rate, and the uptake of the drug and nanoparticles by the HeLa cells) are discussed.
Severe Nonspecific Interstitial Pneumonia (NSIP) in an Adolescent
Authors: Cerro Chiang Giuliana , Lee Christopher , Marchevsky Alberto , Lewis Michael I.
Published: August 2022

Childhood interstitial lung disease (chILD) is remarkably rare with a reported prevalence from 0.13 per 100,000 children under 17 years to 16.2 per 100,000 children under 15 years of age (Kornum et al., 2008). Here, we present a case of a 15-year-old with subacute hypoxemic respiratory failure, admitted to the critical care unit. Her imaging on admission showed bilateral interstitial infiltrates; her laboratory workup, including autoimmune serologies, was unrevealing. A bronchoscopy revealed the diagnosis of nonspecific interstitial pneumonia. She had a partial recovery after a course of steroids.
[Retracted] Impact of ANN in Revealing of Viral Peptides
Authors: Rajkumar M. , Bhukya Shankar Nayak , Ahalya N. , Elumalai G. , Sivanandam K. , Almutairi Khalid M. A. , Alonazi Wadi B. , Soma S. R. , Urugo Markos Makiso
Published: August 2022

All organisms contain antimicrobial peptides (AMPs), which are a critical component of the innate immune system. These chemicals have the ability to suppress the growth of a variety of fungi, bacteria, and viruses. Because AMPs interact with structural components of the microbial cell membrane and have a wide range of cellular targets, bacteria are unlikely to be able to develop resistance to them in the short term. The underlying structure of AMPs is critical in determining the selectivity with which they target their respective targets. As far as we know, peptides have not been tested in a lab to see if they can fight bacteria, fungus, and viruses in real life. In this paper, we develop an artificial neural network (ANN) using a back propagation neural network (BPNN) that enables optimal classification of tendency of a peptide sequence that involves the activities of antifungal, antibacterial, or antiviral. The BPNN is trained on the datasets collected across different repositories and then the overfitting is avoided using particle swarm optimization (PSO) algorithm. Hence, at the time of testing, the BPNN clearly finds the predicted samples belonging to the same classes and this avoids the problem of finding the false positives. The simulation is conducted to test the efficacy of the model against various metrics that includes accuracy, precision, recall, and f1‐measure. The effectiveness of the BPNN‐PSO model in classifying instances at a faster rate than other techniques is demonstrated by its performance. The principle is straightforward, it is not difficult to programme, it converges more quickly, and it generally offers a superior solution.
Monetary Policy, Fiscal Policy, and Capital Structure Dynamic Adjustment: Evidence from Chinese Listed Companies
Authors: Wan Liangwei
Published: August 2022

Monetary and fiscal policies are important means of macroeconomic regulation by the Chinese government, and their combination is an important guarantee for the stable development of economy. We analyze the impact of monetary and fiscal policies on capital structure adjustment and empirically test the data of Chinese nonfinancial listed companies in A-share market from 2000 to 2020. The research shows that, under the loose monetary policy and expansionary fiscal policy, enterprises will adjust their capital structure upward, improve their asset-liability ratio, and speed up their capital structure adjustment. In addition, the speed of capital structure adjustment of enterprises with low financing constraints is faster than that of enterprises with high financing constraints.
The Use of Bacteria in Cancer Treatment: A Review from the Perspective of Cellular Microbiology
Authors: Mills Hilla , Acquah Ronald , Tang Nova , Cheung Luke , Klenk Susanne , Glassen Ronald , Pirson Magali , Albert Alain , Hoang Duong Trinh , Van Thang Nguyen
Published: August 2022

Cellular microbiology, which is the interaction between harmful microbes and infected cells, is important in the determination of the bacterial infection processes and in the progression of data of different cellular mechanisms. The therapeutic role of bacteria has gained attention since the known methods such as radiation, chemotherapy, and immunotherapy have got drawbacks. Bacteria have demonstrated a favorable impact in treating cancer through eradication of tumors. Bacteria, in cancer treatment, have proven to be promising and have been shown in some of the previous work that it can successfully suppress the growth of tumors. In this paper, we analyzed the difficulties and settlement for using bacteria in cancer therapy as well the mechanisms in which bacteria works in order to achieve tumor eradication. Future works may focus on the use of bacteria along with other treatments in order to achieve effective tumor therapy.
Study on the Global Stability for a Generalized SEIR Epidemic Model
Authors: Xue Chunrong
Published: August 2022

In the current study, a generalized SEIR epidemic model is studied. The generalized fractional-order SEIR model (susceptible-infected-recovered (SIR) epidemic) model differentiated the population into susceptible population, exposure population, infected population, and rehabilitation population and has fundamental mentoring importance for the forecast of the probable outburst of infectious ailments. The fundamental duplicated quantity

R

0

is inferred. When

R

0

<
1

, the disease-free equilibrium (DFE) is particular and tending towards stability. When

R

0

>
1

, the endemic equilibrium is sole. In addition, certain circumstances are set up to make sure the local progressive stability of disease-free and endemic equilibrium. Considering the influence of the individual behavior, a broader SEIR epidemic model is raised, which classified the population into susceptible, exposure, infected, and rehabilitation. What is more, the basic reproduction number, that regulates whether the infection will die out or not, is obtained by the spectral radius of the next-generation matrix; moreover, the global stability of DFE and endemic equilibrium are analyzed by a geometry method.
[Retracted] Hysterectomy by Transvaginal Natural Orifice Transluminal Endoscopic Surgery versus Transumbilical Laparoscopic Single‐Site Surgery: A Single‐Center Experience from East China
Authors: Yan Bin , Miao Hui-Xian , Wang You , Xu Jia-Mu , Lu Xiu-Qing , He Wan-Hong , Di Wen , Lou Wei-Hua
Published: August 2022

Objective. To compare hysterectomy by transvaginal natural orifice transluminal endoscopic surgery (VNOTES) versus transumbilical laparoscopic single‐site surgery (LESS) as a minimal invasive technique. Materials and Method. The women undergoing hysterectomy for benign diseases by VNOTES and LESS from January 2020 to June 2021 in a tertiary hospital in Shanghai were retrospectively analyzed. Results. 361 women were included in our study, with 228 in the VNOTES groups, 129 in the LESS groups, and 4 conversions from VNOTES to LESS technique. The length of a VNOTES hysterectomy was shorter than that of LESS (80.76 min versus 112.09 min; MD ‐31.34 min; 95% CI ‐40.24 to ‐22.43 min; P < 0.001). VNOTES hysterectomy has a quicker gas passage by the anus (18.80 versus 36.49 hours, MD ‐17.68 hours, 95% CI ‐20.23 to ‐15.14 hours, P < 0.001) and associated with a shorter length of hospital stay (2.31 versus 3.77 days, MD ‐1.46 days, 95% CI ‐1.75 to ‐1.17 days, P < 0.001), while with no increase in blood loss during the operation (median 50 versus 50 ml, P = 0.25). Besides, the VAS pain score in the 24th hour after the operation was lower (median 0 versus 0.5, P < 0.001) in the VNOTES group. Four unique phases of the learning curve were identified using cumulative analysis: the mean operation time of phase I was 82.81 ± 31.45 min (the initial learning curve of 43 cases), phase II was 72.48 ± 23.66 min (the acquisition of command of 91 cases), phase III was 103.77 ± 45.69 min (the further learning of 26 cases), and phase IV was 73.18 ± 26.89 min (postlearning in 68 cases). Conclusions. VNOTES is noninferior to LESS as a new minimal invasive procedure for hysterectomy, which also allows patients a faster recovery from surgery and to suffer less pain, and its efficiency and feasibility in large uterine need further exploring.
Analysis of the Effects of Early Rehabilitation Treatment Conducted by Nurses on the Prevention of Tendon Adhesion after Finger Flexor Tendon Rupture: A Randomized Clinical Trial
Authors: Yin Sufeng , Sun Xu
Published: August 2022

Objective. This study aims to analyze the application of predictive nursing in the prevention of tendon adhesion, after the anastomosis of finger flexor tendon rupture, so as to provide a basis for clinical nursing. Methods. A total of 80 patients with anastomoses of flexor tendon ruptures, investigated in our hospital from December 2017 to December 2018, were enrolled in this study. Their data formed the basis of this research. They were divided into two groups, the routine (control) group (n = 40) and the nursing group (n = 40), by the random number table method. Basic nursing methods only were used in treating the routine group, while the nursing group received basic nursing in combination with early active function exercise. The contrast indices between the two groups were recovery quality of finger flexion and extension, incidence of tendon adhesion, and nursing satisfaction rate. Results. The probability of tendon rupture and adhesion in the (predictive) nursing group was lower than that found in the control group. The outcomes with predictive nursing were more desirable. The levels of finger flexion and extension in the nursing group were significantly better than those of the control group

P
<
0.05

. Conclusion. The application of predictive nursing, after the anastomosis of finger flexor tendon rupture, is good for preventing tendon adhesion. Better levels of finger flexion and extension after the operation are guaranteed, and the overall recovery outcomes are better. The satisfaction levels of patients who received predictive nursing were also high, and this method is highly valued and promoted within clinical practice.
A Case Study of Multiple Maintenance Efficacy in Gynaecological Surgery Assessed by Deep Learning
Authors: Zheng Yanmei , Yuan Qi
Published: August 2022

Deep learning is a new learning concept and a highly effective way of learning, which is still being explored in the field of nursing education. This paper analyses the effectiveness of interventions in perioperative gynaecological care using humanised care in the operating theatre and the impact of this model of care on patients’ psychological well-being and sleep quality. A deep learning-based vision robot was designed to provide higher quality of care for our human care and simplify our approach to gynaecological surgery. The anxiety and depression scores of the two groups were significantly improved after and before care, and the scores of the observation group were lower than those of the control group, with a statistically significant difference (

P
<
0.05

). The humanised care for gynaecological surgery patients in the perioperative period is more conducive to the improvement of their negative emotions and at the same time can improve the sleep quality of patients, so it can be further promoted.
Chalcone 9X Contributed to Repressing Glioma Cell Growth and Migration and Inducing Cell Apoptosis by Reducing FOXM1 Expression In Vitro and Repressing Tumor Growth In Vivo
Authors: Li Chenguang , Wang Rui , Guo Wenshi , Feng Xu , Guan Ning
Published: August 2022

Objective. Natural and synthetic chalcones played roles in inflammation and cancers. Chalcone 9X was an aromatic ketone that was found to inhibit cell growth of hepatic cancer and lung cancer cells. In this study, we wanted to investigate the functions of Chalcone 9X in glioma. Materials and Methods. Chemical Chalcone 9X was added in human glioma cell lines (U87 and T98G cells) and normal astrocyte cell lines (HA1800) with various concentrations (0 μmol/L, 20 μmol/L, 50 μmol/L, and 100 μmol/L). CCK‐8 assay was used to measure cell viability. Flow cytometric assay was used to measure cell apoptotic rates. Wound healing assay and transwell assay were used to measure cell invasion. RT‐PCR was used to detect relative mRNA expressions, and the protein expressions were detected by western blot (WB) and immunohistochemical staining (IHC). Finally, nude mouse xenograft assay was performed to prove the effects of Chalcone 9X in vivo. Results. Results revealed that Chalcone 9X treatment suppressed cell viability and cell migration capacity; it could also induce cell apoptosis in U87 and T98G cells with dose dependence. However, it had little cytotoxicity to normal astrocyte HA1800 cells. Moreover, Chalcone 9X treatment could repress the mRNA and protein expressions of FOXM1 in human glioma cell lines, which was an oncogene that could promote the progression and malignancy of glioma. In addition, FOXM1 overexpression dismissed the Chalcone 9X effects on cell proliferation, apoptosis, and migration in human glioma cell lines. Finally, in vivo assay showed that Chalcone 9X treatment repressed the expression of FOXM1, which inhibited the tumor growth of a xenograft model injected with U87 in nude mice. Conclusions. In all, we found that Chalcone 9X could suppress cell proliferation and migration and induce cell apoptosis in human glioma cells, while it has little cytotoxicity to normal astrocyte cells. Therefore, we uncovered a novel way that Chalcone 9X could inhibit FOXM1 expression and repress the progression and biofunctions of glioma cells, which might be a potential therapeutic drug for treating human glioma.
An Unusual Cause of Necrotising Fasciitis in a Young Male with Juvenile Dermatomyositis
Authors: Asante Adelaide Ankomaa , Nsaful Josephine , Dey Dzifa
Published: August 2022

Juvenile dermatomyositis (JDM) is a rare condition worldwide, affecting children younger than 16 years. It is characterized by weakness in the proximal skeletal muscles and a pathognomonic skin rash. Patients with JDM develop complications that are usually a consequence of vasculopathy affecting multiple organ systems. Occult gastrointestinal (GI) perforation is an uncommon complication and is associated with an increased risk of mortality due to a delay in diagnosis. We report on a 14-year-old male with JDM with an aggressive course over two years and severe clinical manifestations. The patient developed necrotizing fasciitis, an unusual rapidly progressing lethal infection of the fascia resulting from bowel contents seeping from multiple intestinal perforations. This case, less commonly seen in males, highlights the occurrence of multiple phenomena—JDM complicated by skin and gastrointestinal vasculopathy with resultant development of multiple GI perforations and consequently life-threatening necrotizing fasciitis of the leg. Physicians need a high index of suspecting GI perforation in JDM patients as the delayed recognition of this complication can result in significant morbidity and/or mortality since the typical symptoms of perforation may be absent.
Risk Factors and Prediction Models for Nonalcoholic Fatty Liver Disease Based on Random Forest
Authors: Li Qingqun , Zhang Xiuli , Zhang Chuxin , Li Ying , Zhang Shaorong
Published: August 2022

Objective. To establish a risk prediction model of nonalcoholic fatty liver disease (NAFLD) and provide management strategies for preventing this disease. Methods. A total of 200 inpatients and physical examinees were collected from the Department of Gastroenterology and Endocrinology and Physical Examination Center. The data of physical examination, laboratory examination, and abdominal ultrasound examination were collected. All subjects were randomly divided into a training set (70%) and a verification set (30%). A random forest (RF) prediction model is constructed to predict the occurrence risk of NAFLD. The receiver operating characteristic (ROC) curve is used to verify the prediction effect of the prediction models. Results. The number of NAFLD patients was 44 out of 200 enrolled patients, and the cumulative incidence rate was 22%. The prediction models showed that BMI, TG, HDL-C, LDL-C, ALT, SUA, and MTTP mutations were independent influencing factors of NAFLD, all of which has statistical significance (

P
<
0.05

). The area under curve (AUC) of logistic regression and the RF model was 0.940 (95% CI: 0.870~0.987) and 0.945 (95% CI: 0.899~0.994), respectively. Conclusion. This study established a prediction model of NAFLD occurrence risk based on the RF, which has a good prediction value.
Expression of TNF-α and IL-1β in Peripheral Blood of Patients with T2DM Retinopathy
Authors: Qian Jin , Huang Ying
Published: August 2022

Aims. The expression and clinical significance of tumor necrosis factor-α (INF-α) and interleukin 1-β (IL-1β) in retinal cells of patients with type 2 diabetes (T2DM) retinopathy were detected by flow cytometry. Materials and Methods. Fifty patients with T2DM who attended our ophthalmology clinic between May 2021 and May 2022 were selected as the observation group. Another 50 healthy individuals who were examined at our hospital during the same period were selected as the comparison group. Tear film rupture time (BUT), fluorescein staining (FL), basal tear secretion (Schirmer I) test, and conjunctival impression cytology (CIC) were detected in both groups, and the expression of TNF-α and IL-1β in retinal cells was observed by immunohistochemical staining. Results. The levels of IL13 and TNF-α in the two groups were not exactly the same. The serum levels of IL13 and TNF-α in the observation group were significantly higher than those in the control group, and there was a statistically significant difference (

P
<
0.05

). TNF-α and IL-1B expressions in the observation group were positively correlated with the fluorescence staining, and the expression of TNF-α and IL-1β in the observation group was significantly negatively correlated with the BUT test and Schirmer I test. Conclusion. Serums TNF-α and IL-1β are significantly elevated in patients with T2DM retinopathy and gradually increase with disease progression. Combined detection of serums TNF-α and IL-1β can help determine the severity of the disease and assess the prognosis.
The Role of Neurotrophin‐4/Forkhead Box L1 in the Development of Nonsmall‐Cell Lung Cancer
Authors: Mu Lin , Zhao Hong , Zhang Yifeng , Xiao Chun
Published: August 2022

This study aims to uncover the biological function of neurotrophin‐4 (NTF4) in affecting the progression of nonsmall‐cell lung cancer (NSCLC). NTF4 levels in NSCLC and paracancerous tissues were detected by quantitative real‐time polymerase chain reaction (qRT‐PCR). Knockdown of NTF4 in A549 and H1299 cells was achieved by transfection of sh‐NTF4. Subsequently, proliferative and migratory changes in NSCLC cells with NTF4 knockdown were determined by cell counting kit‐8 (CCK‐8) and transwell and wound healing assay. The target gene binding NTF4 was predicted by bioinformatic software and verified by a dual‐luciferase reporter assay. The role of the NTF4/FOXL1 axis in mediating NSCLC cell behaviors was finally explored through rescue experiments. NTF4 was highly expressed in NSCLC tissues than in normal ones. Knockdown of NTF4 remarkably reduced proliferative and migratory rates in A549 and H1299 cells. Forkhead Box L1 (FOXL1) was confirmed as a target gene of NTF4 by bioinformatic software and verified by a dual‐luciferase reporter assay. Knockdown of FOXL1 was able to reverse the reduced proliferative and migratory rates in A549 and H1299 cells transfected with sh‐NTF4. NTF4 triggers NSCLC to proliferate and migrate via negatively regulating FOXL1.
Evolutionary Game Analysis on Impacts of Organization Distance on Open Innovation Mode Selection of High-Tech Industrial Clusters
Authors: He Binbin , Mei Qiang , Jiang Mao-Min
Published: August 2022

Based on the evolutionary game theory, this study aimed to explore the decision-making behavior of the enterprise when it adopted the open innovation model from the perspective of organizational distance. The evolutionary game theory is an important method to study the enterprise’ decision-making under bounded rationality. It applies to describe the trend of decision-making based on the enterprises’ open innovation choices in industrial clusters. This paper employs open innovation and institutional theory, utilizes industrial clusters as the research object, and measures the geographical proximity of enterprises in high-tech industrial clusters employing organizational distance. Within the analytical framework of the duopoly model, the impact of organizational distance and patent licensing fees on the innovative performance of a high-tech industrial cluster is studied. The findings indicate that the export-oriented open innovation model is more appropriate for the innovation of high-tech industry clusters. There is a significant relationship between organizational distance and the R&D spillovers of businesses. Increased patent fees can encourage industry clusters to adopt an open innovation model with an outward orientation if they are located in close proximity to each other. Further research analyzed the effect of organizational distance on the selection of an open innovation mode employing an evolutionary game model and indicated that geographical proximity would encourage enterprises to adopt open innovation export strategies. The conclusion of this study has both theoretical and practical ramifications for the independent innovation of high-tech industry clusters.
Optimization of Economic Development Path in Western Region under Background of “the Belt and Road Initiative” Based on Intelligent Internet of Things
Authors: Jiao Jianqiu
Published: August 2022

The Internet of things is a network that can realize the information interaction between all independent inanimate objects. It is a network that allows people to experience how to talk with objects. Its emergence is a milestone of world information technology. With the development of the Internet of things, more and more research is carried out on the basis of the Internet of things, and the economic development of the western region should seize the opportunity of the Internet of things and find a suitable development path. This paper mainly studies the optimization of the economic development path of the western region under the background of the “the Belt and Road” to help the western region develop rapidly. This paper puts forward the interactive development path of industrial clusters and new urbanization. Through the simulation data, the total GDP and per capita GDP of the western region in the next few years are analyzed and summarized. The data show that under this method, the total GDP and per capita GDP of the western region will increase by more than 30% every year in the next five years, and will continue to rise.
Technology and Application of Digital Nondestructive Prescreening Based on Automated Storage
Authors: Wu Bingzhao , Miao Ningjie , Wang Liujun , Mao Linming , Jin Congyou
Published: August 2022

This project around “DR digital imaging non-destructive prediction based on automatic warehousing screening technology and application” project can be divided into cable full inspection in coil based on DR digital imaging mode of the whole case study, with a small piece of material screening technology research, based on the data acquisition and recognition algorithm used for the detection of automated storage research and pilot test three corpus. The hardware framework structure and software system security access model are designed based on existing warehouse conditions. A non-destructive batch automatic pre-screening equipment is developed for small materials, which has both DR and CT functions. Cold cathode pulse ray source for needle tip pulse discharge is improved. A set of non-destructive pre-screening equipment for the whole length of the cable is developed and arranged on the warehouse automatic tray wire rack. Through the multiangle scan imaging of two ray sources, the application of image recognition is expanded, and the automatic size labeling problem warning is realized. The non-destructive pre-screening of the whole length of the cable is implemented synchronously during the process of unloading the cable from the warehouse. The insulation layer scars of the wire diameter and thickness are compared and checked, and the quality problems are visually reflected, and the detection report is automatically generated.
[Retracted] Research on Improving Radiotherapy Accuracy Based on Image‐Guided Radiotherapy
Authors: Huang Shunping , Xiao Yang , Li Heng , Li Daochang
Published: August 2022

With the changes of people’s diet and lifestyle, the number of patients with abdominal malignant tumors is increasing year by year. In order to analyze the effectiveness of cone‐beam CT (CBCT) enhancement technology in improving the accuracy of radiotherapy for clinical malignant tumors, 92 patients with abdominal malignant tumor are divided into the control group and the CBCT radiotherapy group. The experimental results show that precise radiotherapy technology can promote the recovery of the immune function of patients with abdominal malignant tumors, improve the effect of treatment, and decrease the incidence of complications.
Convolutional Neural Network in Microsurgery Treatment of Spontaneous Intracerebral Hemorrhage
Authors: Wu Xiaoqiang , Chen Dan
Published: August 2022

Objective. To explore the convolutional neural network (CNN) method in measuring hematoma volume-assisted microsurgery for spontaneous cerebral hemorrhage. Methods. A total of 120 patients with spontaneous cerebral hemorrhage were selected and randomly divided into control and CNN groups with 60 patients in each group. Patients in the control group received traditional Tada formula to calculate hematoma volume and microsurgery. Convolutional neural network algorithm segmentation was used to measure hematoma volume, and microsurgery was performed in the CNN group. This article assessed neurological function, ability to live daily, complication rate, and prognosis. Results. The incidence of postoperative complications in the CNN group (13.33%) was lower than the control group (43.33%). The neurological function and daily living ability in the CNN groups were recovered better. The incidence of poor prognosis in the CNN group (16.67%) was lower than the control group (30.00%). Conclusion. Convolutional neural network measurement of hematoma volume to assist microsurgical treatment of spontaneous intracerebral hemorrhage patients is conducive to early recovery, reducing the damage to the patients’ cerebral nerves.
Application of CT Postprocessing Reconstruction Technique in Differential Diagnosis of Benign and Malignant Solitary Pulmonary Nodules and Analysis of Risk Factors
Authors: Chen Xiaolong , Xu Bingqiang
Published: August 2022

Objective. To evaluate the application of CT postprocessing reconstruction technique in differential diagnosis of benign and malignant solitary pulmonary nodules and analysis of risk factors. Methods. A total of 150 solitary pulmonary nodules (SPN) patients admitted to our hospital from January 2020 to January 2022 were selected and divided into the benign SPN group (

n
=
64

) and the malignant SPN group (

n
=
86

) according to pathological results. All subjects underwent CT plain scan and CT postprocessing reconstruction, and the general information of the subjects was collected. The diagnostic value of CT plain scan and CT postprocessing reconstruction techniques for benign and malignant SPN was compared; and the CT signs of benign and malignant SPN were compared, and the risk factors of malignant SPN were analyzed. Results. The pathological results of this study showed that there were 64 cases with benign SPN and 86 cases with malignant SPN. The sensitivity, specificity, accuracy, positive predictive rate, and negative predictive rate of CT postprocessing reconstruction technology in diagnosing malignant SPN were 73.44%, 89.53%, 82.67%, 83.39%, and 81.91%, respectively, which were higher than 56.25%, 65.12%, 61.33%, 54.55%, and 66.67% of CT plain scan, and the difference was statistically significant (

P
<
0.05

). There were no significant differences in nodule location, nodule density, vacuole sign, vessel convergence, and pleural depression sign between the two groups (

P
>
0.05

). There were statistically significant differences in age, nodule diameter, lobulation sign, burr sign, calcification components, and ground-glass components between the two groups (

P
<
0.05

). Multivariate analysis showed that

age
≥
60

years, nodule

diameter
≥
15
 
mm

, the presence of lobulation sign, burr sign, ground-glass components, and noncalcification components were independent risk factors for malignant SPN. Conclusion. CT postprocessing reconstruction technique has high diagnostic value in the differentiation of benign and malignant SPN,

age
≥
60
 
years

, nodule

diameter
≥
15
 
mm

, lobulation signs, burr signs, ground-glass components, and noncalcification components are independent risk factors for malignant SPN.
Use of High-Dose Androgens Is Associated with Reduced Brain-Derived Neurotrophic Factor in Male Weightlifters
Authors: Bjørnebekk Astrid , Scarth Morgan , Neupane Sudan Prasad , Westlye Lars T. , Hullstein Ingunn R. , Thorsby Per Medbøe , Halvorsen Bente
Published: August 2022

Introduction: Use of high-dose androgens causes drastic changes in hormonal milieu and is associated with adverse medical, psychological, and cognitive effects. Brain-derived neurotrophic factor (BDNF), a member of the neurotrophin family of growth factors plays a critical role in neuroplasticity, with implications for cognitive function and mental health. The impact of long-term, high-dose androgen use on BDNF in a natural setting has not been investigated. This study examined the association between long-term androgen exposure and BDNF levels, and the links between BDNF, heavy resistance exercise, hormones, androgens, and mental health. Methods: We measured serum levels of BDNF and sex steroid hormones in male weightlifters (N = 141) with a history of current (n = 59), past (n = 29), or no (n = 52) androgen use. All participants completed questionnaires assessing maximum strength and measures of anxiety and depression. Group differences in BDNF were tested using general linear models adjusting for age and associations between BDNF and strength, anxiety, and depression using Pearson’s or Kendall’s correlations. Results: Both current (mean: 44.1 ng/mL [SD: 12.7]) and past (39.5 ng/mL [SD: 13.9]) androgen users showed lower serum BDNF levels compared to nonusing controls (51.5 [SD: 15.3], p < 0.001, ηp2 = 0.10). BDNF levels were negatively related to maximal strength, and with hormonal status in past androgen users, but no significant associations were found with measures of depression and anxiety. Conclusion: Lower circulating BDNF concentrations in current and past androgen users suggest that high-dose androgen exposure triggers persistent changes in BDNF expression. Further studies are needed to verify the relationship and its potential clinical implications.
Probabilistisch-teleologische Epistolarität
Authors: Stiening Gideon
Published: August 2022

Lambert’s choice of genre for his Cosmological Letters – the scholarly correspondence – was conscious and well-founded, as it facilitated a certain form of reflection and presentation. Such letters enabled him to integrate more complex reasoning into the presentation of a specific problem than the scholarly dialogues that had been common since Fontenelle. Lambert needed to integrate sophisticated demonstrations from the theories of probability and teleology, as empirical knowledge was insufficient or unproven. With regard to his subject (the order of the comets, satellites, planets and galaxies of the universe), theonomistic and probabilistic cosmology could be convincingly communicated in the form of letters.
A new congrid eel, Rhynchoconger randalli sp. nov. (Congridae: Anguilliformes), with a pentagonal pattern of vomer dentition from the Bay of Bengal, Indian waters
Authors: ACHARYA SMRUTIREKHA , MOHANTY SWARUP RANJAN , RAY DIPANJAN , MISHRA SUBHRENDU SEKHAR , MOHAPATRA ANIL
Published: August 2022

A new species Rhynchoconger randalli sp. nov. is described herein on the basis of 2 specimens collected from Paradeep fishing harbor, Odisha, India along the Bay of Bengal from a depth of about 36–40 meters. The pentagonal vomerine teeth pattern is unique among all the Rhynchoconger species described to date. The new species is characterized by predorsal vertebrae 7–8 and preanal vertebrae 29–31. The new species closely resembles the recently described Rhynchoconger smithi, but differs in having a larger eye diameter (12.5‒12.9% HL vs. 9.5‒9.7% in R. smithi), smaller interorbital space (13.1‒13.5% HL vs. 15.0‒18.1 in R. smithi), lower dorsal-fin ray count before vent 44‒47 vs. 54‒58 in R. smithi, and unique pentagonal vomerine teeth pattern.
Contested delegation: Understanding critical public responses to algorithmic decision-making in the UK and Australia
Authors: Mead Geoffrey , Barbosa Neves Barbara
Published: August 2022

In public and private sectors alike, decision-making is increasingly carried out through the employment of ‘algorithmic actors’ and artificial intelligence. The apparent efficiency of these means in the eyes of politicians and the public has made recourse to them possible. Along with this belief in their efficiency, however, fears emerge that nonhuman actors have displaced judicious human decision-making. This article examines this belief and its contestation, drawing on overlapping notions of ‘delegation’ in the political sociologies of Bruno Latour and Pierre Bourdieu. We undertake two case studies of attempts to delegate decision-making to algorithms: the 2020 UK ‘A-level’ grade determination and the Australian ‘robodebt’ welfare funds recovery scheme. In both cases, the decision-making delegated to algorithms was publicly discredited as critics invoked a different form of fairness than the one used by those deploying the technology. In the ‘A-level’ case, complainants drew on a grammar of individual merit, while complainants in the ‘robodebt’ case made a technical critique of the algorithm’s efficiency. Using a theory of delegation, we contribute to understanding how publics articulate resistance to automated decision-making.
Understanding Perceptions, Barriers, and Opportunities around Restorative Justice in Urban High Schools
Authors: Stewart Remy , Ezell Jerel M.
Published: August 2022

A popular alternative disciplinary framework from zero-tolerance school policies is restorative justice, which refers to a set of ideologies and practices that emphasize healing relationships in lieu of community exclusion. This work investigates the differences between ideological support for restorative approaches compared to program implementation. We conducted semi-structured qualitative interviews with school staff, including teachers, administrators, and security officials, at five urban high schools in the Chicago metropolitan region. Our findings highlight sharp divergences in buy-in for restorative justice and perceptions on the appropriateness of various disciplinary approaches, illuminating both barriers and opportunities towards schoolwide restorative justice program implementation.
SAME RIDE, DIFFERENT RIDERS
Authors: Faez Sahand E. P. , Wong Wing-Keung
Published: August 2022

Mainstream international relations definitions commonly assume that states are identical units in a constant state of competition for survival to increase their power. Yet, such a one-sided approach fails to fully consider that the internal structures and contexts of states at different times and under different leaders exert considerable effects on how states act in the international arena and on the foreign policies that shape their identities, priorities, and thus relations with other states. We begin by questioning such theoretical assumptions and then apply a more appropriate reformulation to the case of Turkey's changing trade policy with the European Union (EU). Examining Gül's administration (2007–2014) and Erdoğan's (2014–2020), we look at whether a change in Turkish leadership resulted in a significant change in trade policy and led to a change in the dynamics of its foreign relations approach. Turkey's relations with the members of the EU are assessed (via panel data estimations) as the volume of trade between Turkey and EU members. The data consists of 25 European states’ GDP, Exchange Rate, and Inflation Rate for 2000–2020. We find a significant difference in Turkey's behavior in terms of trade with the EU members between the two administrations under study. This suggests the need to rethink some central theoretical assumptions in certain mainstream international relations perspectives.
A peripheral opioid antagonist for treating urinary retention induced by opioids: A case report
Authors: Mercadante Sebastiano
Published: August 2022

Background:

Urinary retention is a poorly studied opioid-related adverse effect. There is a paucity of data regarding the treatment of such disturbance in patients with advanced cancer receiving opioids.

Actual case:

A young man, without comorbidities, was receiving 30 mg/day of oxycodone for abdominal pain due to pancreatic cancer, unsuccessfully. He also complained of severe urinary retention that developed after initiation of opioid therapy. Methadone therapy was effective on pain intensity, but bladder dysfunction persisted.

Possible courses of action:

Only anedoctal experience exists for opioid-induced urinary retention. The options included alpha-receptor blockers and flavoxate, which are symptomatic drugs, not addressed to the possible mechanism.

Formulation of a plan:

The use of a peripheral opioid antagonist was planned, according to the presumed mechanism of urinary retention. Thus, naldemedine 200 mcg was prescribed for relieving urinary retention.

Outcome:

The day after starting naldemedine, urinary retention completely reversed and pain was well-controlled.

Lessons:

The rational of using naldemedine was based on the component of opioid-induced urinary retention due to involvement of peripheral receptors in the bladder and sphincter.

View:

In this case report, the effect of the peripheral opioid antagonist was prompt and long-lasting. Future studies of this neglected adverse effect of opioids should be performed to confirm this observation.
Bioinformatics analysis of mRNA profiles and identification of microRNA-mRNA network in CD4+ T cells in seasonal allergic rhinitis
Authors: Jin Peng , Zhang Hongping , Zhu Xilin , Sun Kaiyue , Jiang Tao , Shi Li , Zhi Lili , Zhang Hailing
Published: August 2022

Objective

We aimed to discover potential circulating genes and non-coding molecules (micro RNA [miRNA] and circular RNA [circRNA]) in CD4+ T cells in relation to seasonal allergic rhinitis (SAR).

Methods

Microarray data of GSE50223 were obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) during and outside the pollen season were analyzed using R software and by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway analyses. The protein–protein interactions, modules, miRNAs targeting DEGs, merged miRNA–DEG networks, and circRNAs targeted with miRNAs were further analyzed.

Results

We identified 211 DEGs during the pollen season and eight DEGs outside the season, of which only MMP12, NR4A2, and CD69 were differentially expressed both during and outside the pollen season. DEGs during the pollen season were enriched in the GO categories ‘neutrophil degranulation’, ‘neutrophil activation involved in immune response’, ‘neutrophil mediated immunity’, and ‘neutrophil activation’. A significant module was identified with key nodes of CDK6 and hsa-miR-29b-3p. Six significant circRNAs were also identified.

Conclusions

Some genes, miRNAs, and circRNAs in CD4+ T may play vital roles in SAR and may thus be potential targets for the prevention and treatment of SAR.