bluuebunny/crossref_metadata_2025 huggingface dataset:
Validation of a Prediction Model for Intraoperative Hypothermia in Patients Receiving General Anesthesia
Authors: Dai Ziyi , Zhang Yuelun , Yi Jie , Huang Yuguang
Published: September 2022

Objectives. There have been no fully validated tools for the rapid identification of surgical patients at risk of intraoperative hypothermia. The objective of this study was to validate the performance of a previously established prediction model in estimating the risk of intraoperative hypothermia in a prospective cohort. Methods. In this observational study, consecutive adults scheduled for elective surgery under general anesthesia were enrolled prospectively at a tertiary hospital between September 4, 2020, and December 28, 2020. An intraoperative hypothermia risk score was calculated by a mobile application of the prediction model. A wireless axillary thermometer was used to continuously measure perioperative core temperature as the reference standard. The discrimination and calibration of the model were assessed, using the area under the receiver operating characteristic curve (AUC), Hosmer–Lemeshow goodness-of-fit test, and Brier score. Results. Among 227 participants, 99 (43.6%) developed intraoperative hypothermia, and 10 (4.6%) received intraoperative active warming with forced-air warming. The model had an AUC of 0.700 (95% confidence interval [CI], 0.632–0.768) in the overall cohort with adequate calibration (Hosmer–Lemeshow χ2 = 13.8,

P
=
0.087

; Brier score = 0.33 [95% CI, 0.29–0.37]). We categorized the risk scores into low-risk, moderate-risk, and high-risk groups, in which the incidence of intraoperative hypothermia was 23.0% (95% CI, 12.4–33.5), 43.4% (95% CI, 33.7–53.2), and 62.7% (95% CI, 51.5–74.3), respectively (

P

for trend <0.001). Conclusions. The intraoperative hypothermia prediction model demonstrated possibly helpful discrimination and adequate calibration in our prospective validation. These findings suggest that the risk screening model could facilitate future perioperative temperature management.
Survival Analysis of Tunneled Cuffed Central Venous Catheters in Maintenance Hemodialysis Patients: A Retrospective Study in China
Authors: Hu Jun , Mei Guangliang , Tong Changjun , Gao Chaoqing , Zhang Jing
Published: September 2022

Aim. The study aimed to investigate the clinical epidemiological data and the survival rate of maintenance hemodialysis patients with tunneled cuffed central venous catheters (TCCs) in a single hemodialysis center in China. Methods. We retrospectively investigated the general clinical characteristics (including sex, age, primary causes, and catheter outcome) of 316 patients undergoing maintenance hemodialysis (MHD) via TCC for >3 months at Wannan Medical College Affiliated Yijishan Hospital, Wuhu, China, from July 2011 to June 2021. The long-term survival rate of the catheters was determined by Kaplan–Meier survival analyses. Results. A total of 316 patients (137 males, 179 females) were included, with a mean age of 65.0 ± 15.5 years. The right internal jugular vein was the most commonly used central vein, accounting for 89.1% of catheterizations. After censoring for noncatheter-related events leading to the removal of the catheter, the mean survival time of the TCCs was 26.2 ± 19.8 smonths and the median survival time was 58.0 (95% CI, 54.0–62.0) months. Seventy patients had catheter loss-of-function events, with an incidence of 22.2%. Moreover, 97.3% of TCCs survived 1 year and 43.3% survived 5 years, respectively. The sex and age of the patients were not related to the survival rate (

p
>
0.05

). There were also no statistical differences between the primary diseases of patients and the survival rate of TCCs (

p
>
0.05

). Conclusion. In this study, we provide evidence of the mean TCC survival time beyond 2 years. We found that TCC is an effective alternative for MHD patients with poor vessel status or limited survival time or become a bridge waiting for arteriovenous fistula to mature, regardless of age, sex, and primary diseases.
[Retracted] Postoperative Cognitive Behavioral Intervention in Patients with Coronary Heart Disease Based on the Effect of Nursing Process Reengineering
Authors: Xiong Ying , Liu Yan , Cui Jianying
Published: September 2022

With the development of society and economy, patients with coronary heart disease increasingly hope to receive more humanized services after surgery, and the reengineering of the nursing process is precisely based on humanized management. In order to create a nursing intervention that helps in boosting total nursing gains and lowering disasters, the primary element of the nursing business process reengineering is to reintegrate or condense the creative work flow that was fragmented by specialization into a whole job. The “patient” is positioned in the center of nursing process reengineering, with service quality as the main guiding principle. It follows the management principles of continuous regulation and innovation, and cultivates and promotes the development of the nursing field from the perspective of “sublation.” In the method part, this article introduces and supplements related information on nursing process reengineering, coronary heart disease, and postoperative cognitive behavioral intervention. Algorithmically, this paper proposes 3D RPN structure, loss function, capsule network, and improved activation function algorithm for coronary heart disease region extraction. In the part of experiment and results, this article collects general data of patients and compares memory ability, grades of self‐management behaviors of patients treated with coronary heart disease, scores of quality control standards before and after nursing process reengineering, scores of patients’ mental state, and comparison of postoperative physical indicators. According to the test results, the test group’s diastolic and systolic blood pressure declined by more than 20, their total cholesterol dropped from 6.23 to 5.28, and their triglyceride levels dropped from 1.82 to 1.39 after the stent was implanted. Triglycerides reduced from 1.82 to 1.39, and total cholesterol dropped from 6.15 to 5.98. It indicates postoperative memory in patients with coronary heart disease. Abilities, including recognition, number, touch memory, and associative memory, decline significantly, but it can be improved after receiving the nursing process reengineering. It can be seen that nursing process reengineering can play a positive role in the postoperative cognitive behavior of patients with coronary heart disease.
[Retracted] Systematic Evaluation and Meta‐Analysis of Randomized Controlled Trials of Fire Needle Combined Phototherapy for the Treatment of Vitiligo
Authors: Jiang Huishan , Long Xiaohuan , Chen Yan , Wang Weiliang
Published: September 2022

This study investigated the fire needle and phototherapy combination for treating vitiligo through a meta‐analysis of the published literature. Indeed, vitiligo is a common chronic skin condition characterized by the appearance of white patches. It is the most prevalent disorder, affecting approximately 1% of the global population. There is no known cure or clinical recommendation for treating vitiligo. The majority of medical guidelines suggest vitiligo treatment with the use of fire needles. Here, vitiligo was treated with a novel mechanism combining a fire needle with phototherapy. The handheld phototherapy devices include a fire needle option for disease treatment. Miniature lesions that could be used to detect and treat vitiligo at an early stage could be managed by hybrid‐capable devices. The real‐time study included more than 3,435 patients. The dosages were altered to control the adverse effects. Following treatment, granulation tissues developed on the injured skin, diminishing the shallow area and wound surface. The case studies demonstrate that combining phototherapy and fire needle therapy is more practical than the other methods.
[Retracted] An Empirical Study of Blended Teaching Mode Based on SPOC in the Postpandemic Era
Authors: Chen Xiaoning , Guo Jin , Xu Hongyan
Published: September 2022

The COVID‐19 pandemic broke the normal of school education and sounded the horn for future education reform. This paper designs the online and offline mixed teaching mode of the SPOC platform in the postpandemic era according to the actual situation of teaching at application‐oriented colleges and universities, and the blended teaching mode is applied to real teaching scenarios. The teaching effect and students’ behaviors are analyzed in such scenarios. Empirical research shows that the situational teaching model based on mixed SPOC for course design, teaching resources are more abundant, and task assessments are more reasonable. Through the questionnaire survey, about 95% of the students think that the learning mode based on SPOC has improved their learning interest, autonomous learning ability, and problem‐solving ability, which is much higher than the assessment of traditional courses. The exploratory practice has shown that the online and offline blended teaching mode based on SPOC can dramatically improve teaching quality.
Research on Vessel Speed Heading and Collision Detection Method Based on AIS Data
Authors: Wang Guoqing , Fan En , Zheng Guohua , Li Kexiang , Huang Haiguang
Published: September 2022

In order to better predict the sailing information data of fishing boats, make accurate prediction and spacing budget for the sailing status of ships, achieve more accurate coordination and early warning in advance, and ensure the safety of fishing boats’ laneway, the essay combined the kinematics equation and artificial neural network model to adapt to the traffic situation of fishing boats in the far sea. A course and collision test technique based on ship AIS data is proposed, and the course collision detection method of fishing boats is studied by means of actual ship beacon collision accident data. Through the practical test, taking the navigation mark 4560.117 as an example, under the detection track of the navigation mark field corresponding to R = 70, the two ships have the same track, thus verifying the practicality and feasibility of the ship navigation mark collision detection method.
Diagnostic Value of Color Doppler Ultrasonography in Subacute Thyroiditis
Authors: Chen Yonggang , Zhu Shulan , Chen Huabin , Yao Liting , Zhou Jingmian , Xu Yi , Lin Biqin , Chen Xiaoping
Published: September 2022

In order to explore the clinical effect of color Doppler ultrasonography in the diagnosis of subacute thyroiditis, a method for the diagnosis of subacute thyroiditis by color Doppler ultrasonography was proposed. From November 2019 to November 2020, 90 patients with subacute thyroiditis in our hospital were selected as the experimental group; 90 healthy people were selected as the control group during the same period. Both groups were diagnosed by color Doppler ultrasonography and compared. The experimental results showed that patients with subacute thyroiditis showed mild to moderate enlargement of the involved thyroid gland, and local or diffuse inhomogeneous hypoechoic areas may appear in bilateral or unilateral thyroid glands: irregular edges, unclear boundaries, no “ball feel,” mottled changes, and accompanied by tenderness. The blood flow signal around the hypoechoic area is rich, and the internal blood flow signal is less. There was no significant increase in the blood flow velocity of the superior thyroid artery on the affected side. Color Doppler ultrasound not only is simple, economical, and non-invasive but also has a good diagnostic accuracy for subacute thyroiditis, which can provide an important basis for clinical diagnosis and treatment and is worthy of popularization and application.
Oral Pemphigus Vulgaris Treatment with Corticosteroids and Azathioprine: A Long-Term Study in Shiraz, Iran
Authors: Davarmanesh Mehdy , Zahed Maryam , Sookhakian Asma , Jehbez Sina
Published: September 2022

Background. Treating oral mucosal lesions of Pemphigus Vulgaris (PV) disease is usually challenging for clinicians. We studied the treatment outcomes of the oral PV patients referred to the Oral Medicine Department of Shiraz University of Medical Sciences from 2004 to 2018. Methods. The medical records of 54 oral PV patients with histopathological confirmation who were treated by a single protocol were studied. The protocol consisted of initial treatment with 1 mg/kg/day of oral prednisolone for all patients. After 4–6 weeks, all patients were prescribed 40 mg of prednisolone. If lesion recovery was not observed or new lesions had developed, adjuvant therapy (maximum dose of 200 mg per day of Azathioprine (AZA)) was initiated anytime during the treatment. The oral prednisolone dosage was gradually tapered to 5 mg/alternate day in 9 months. Results. 47 patients were included in the study. 34.04% were male and 65.96% were female with a mean age of 41.83 ± 12.520. The mean follow-up period was 50.806 ± 44.417 months (over 4 years). The severity of oral involvement was mild in 21.27%, moderate in 36.17%, and severe in 42.6%. During treatment, all patients except one experienced complete remission. The mean time to achieve complete remission was 150.39 ± 224.075 days. Most of the patients experienced relapse due to self-discontinuation of treatment. 55% had complete remission and 43% were in partial remission at the last follow-up session. In 65.96% of patients, treatment-associated side effects were observed. The patients treated with prednisolone alone had significantly more side effects than those using AZA as an adjuvant (80% vs 50%, respectively;

P
=
0.030

). The mean duration of follow-ups was longer for patients with side effects (

P
<
0.01

). Topical corticosteroids were used for all patients sometime during the treatment. No deaths were recorded. Conclusion. Prescribing low-dose prednisolone and adding AZA in nonresponding cases has good clinical outcomes for the treatment of oral lesions of PV. Adjuvant therapy can avoid the increase in corticosteroid dosage and side effects. The treatment method described in this study can be a helpful guide for clinicians, especially when other immunosuppressive drugs are not available.
Prevalence of Bovine Mastitis and Its Associated Risk Factors among Dairy Cows in Ethiopia during 2005–2022: A Systematic Review and Meta-Analysis
Authors: Girma Abayeneh , Tamir Dessalew
Published: September 2022

Bovine mastitis remains a major prevalent disease in cattle and places a significant economic burden on the global dairy industry. The goal of this systematic review and meta-analysis was to examine the overall prevalence of mastitis and its associated risk factors among dairy cows. Scientific articles written in English were recovered from PubMed, ScienceDirect, Web of Science, Google Scholar, Cochrane Library, and other sources from Google Engine and University Library Databases. “Prevalence,” “bovine mastitis,” “clinical mastitis,” “subclinical mastitis,” “associated factors,” “dairy cows,” and “Ethiopia” were search terms used for this study. For critical appraisal, PRISMA 2009 was applied. Heterogeneity and publication bias were evaluated using Cochran’s Q, inverse variance (I2), and funnel plot asymmetry tests. A random-effects model was used to calculate the pooled burden of mastitis and its associated factors among dairy cows, along with the parallel odds ratio (OR) and 95% confidence interval (CI). A total of 6438 dairy cows were included in the 17 eligible studies for this meta-analysis. The overall pooled prevalence of mastitis among dairy cows in Ethiopia was 43.60% (95% CI: 34.71, 52.49), of which 12.59% (95% CI: 7.18, 18.00) and 32.21% (95% CI: 24.68, 39.74) were clinical and subclinical cases, respectively. Of the regions, the highest and lowest pooled prevalence estimates of mastitis among dairy cows were 49.90% (95% CI: 31.77, 68.03) and 25.09% (95% CI: 3.86, 46.32) in the Oromia and Amhara regions, respectively. The highest pooled prevalence estimate in the study period was recorded between 2017 and 2022, with a pooled prevalence estimate of 46.83% (95% CI: 35.68, 57.97), followed by the study period from 2005 to 2016, with a pooled prevalence estimate of 39.97% (95% CI: 25.50, 54.44). Gram-positive bacteria (84.70%) were the most prevalent mastitis-causing agents compared with Gram-negative bacteria (15.30%). Breed (AOR: 2.17, 95% CI: 1.44, 2.90), lactation stage (AOR: 1.59, 95% CI: 1.04, 2.15), parity (AOR: 3.31, 95% CI: 1.69, 4.94), history of mastitis (AOR: 3.56, 95% CI: 2.40, 4.71), floor type (AOR: 1.59, 95% CI: −0.16, 3.34), and teat injury (AOR: 6.98, 95% CI: 0.33, 13.64) were factors significantly associated with mastitis among dairy cows in Ethiopia. Early diagnosis and proper medication, as well as implementing appropriate prevention and control measures, are necessary for the management of mastitis in dairy cows.
Elevator Leveling Failures Monitoring Device and Method
Authors: Sun R. Z. , Wang X. A. , Cai Y. Z. , Cao J. M.
Published: September 2022

Elevators are highly susceptible to safety incidents in the event of leveling failures, so the ability to monitor related failures must be strengthened. This paper proposed a new elevator leveling failures monitoring device and method in which elevator signals are obtained from the elevator CAN bus interface, transmitted to a remote monitoring platform via NB-IoT, and stored in our private data center. The leveling sensor sensing signal, the door signal, the car call signal, the target floor signal, and the running signal are obtained by analyzing the data extracted from the elevator. Logical analysis could be used to determine the elevator’s running status and leveling-related failures. The device and method could identify and also predict leveling-related failures and have advantages in terms of universality, accuracy, and economy.
Friction Performance Analysis of Reactor Coolant Pump Shaft Seal Based on Sensor and Computer Simulation
Authors: Gou Qiuqin , Xiao Shide , Chen Xiaoming
Published: September 2022

In recent years, the state has put forward a grand plan to develop nuclear power in order to control environmental pollution and carbon emissions. In nuclear power plants, mechanical seals for reactor coolant pump play an important role in nuclear power safety production. However, China cannot independently produce such mechanical seals, and they are blocked by foreign related technologies, which has seriously affected China’s nuclear power development plan and the overall safety of China’s nuclear power operation. Under this background, this paper studies the friction performance of the shaft seal of the reactor coolant pump, uses the sensor to obtain the data of friction factors such as low-pressure leakage, effectively monitors the low-pressure leakage through calculation and simulation modeling, truly reflects the operating state of the reactor coolant pump, and provides a new research direction and experimental basis for further analysis of the friction performance of the shaft seal of the reactor coolant pump. The results show that under the joint action of the pressure difference and the force generated by the deformation of the moving ring plate, the cone angle formed on the seal end face is 1300.9 μ convergence gap of rad. When the inlet water temperature is 65°C, the leakage rate is 1867.8 L/h. The deformation of the moving ring deformation ring plate can hinder the increase of the deformation cone angle of the moving ring. The greater the thickness of the moving ring deformation ring plate, the greater the seal leakage rate. The inlet temperature of the sealing medium and the friction performance of the material also have an impact on the sealing performance.
An Application of the Finite Element Method for Heat and Mass Transfer of Boundary Layer Flow Using Variable Thermal Conductivity and Mass Diffusivity
Authors: Arif Muhammad Shoaib , Abodayeh Kamaleldin , Nawaz Yasir
Published: September 2022

Since mass diffusivity and thermal conductivity cannot be considered constants in practical analysis, an existing heat and mass transfer model of unsteady mixed convection flow over a stretching sheet is modified by incorporating the effects of nonlinear mixed convection variable thermal conductivity and mass diffusivity and solved its dimensionless form by applying the finite element method which is the main novelty of this work. Nonlinear governing equations are created because of changing thermal conductivity and mass diffusivity. Nonlinear solutions can be achieved by employing the Galerkin finite element approach. Temperature and concentration‐based thermal conductivity and mass diffusivity are considered. The model is expressed as a set of partial differential equations, and furthermore, it is reduced to a system of dimensionless ordinary differential equations. These obtained equations are solved with the finite element method with linear interpolating polynomials and numerical integration. In addition, a Matlab solver bvp4c is also considered for comparison purposes or validation of the computed results. The graphs depict the effect of various parameters on the velocity, temperature, and concentration curves. The results show that thermal and diffusive wave propagation is significantly affected by thermal conductivity and mass diffusivity changes. Results show that flow velocity escalates by rising values of thermal and solutal Grashof numbers.
A Modern Simple Power Prediction Index for Improving Battery Life
Authors: Dahmardeh Masoud , Rahimirad Pouria , Masih-Tehrani Masoud
Published: September 2022

Prediction of available energy storage power is essential for increasing the energy management performance of fuel cell hybrid electric systems (FCHES). A simple yet effective power prediction index is proposed to estimate the supercapacitor state of power. It prevents the supercapacitor’s total depletion in the battery/supercapacitor combination. Modern energy management is equipped with an equivalent consumption minimization strategy. The power prediction index is simple compared with other predictive algorithms while providing excellent efficiency compared with supercapacitor-based management strategies. A supercapacitor-based strategy is presented which extends battery life, at the cost of increased fuel consumption. However, it cannot predict the future low state of charge for the supercapacitor. In such conditions, the battery provides the demand power while fuel cells generate more current. On the other hand, the modern power prediction index energy management strategy significantly increases battery life without adding extra hardware. Moreover, fuel consumption decreased by 15.1 percent. The results show that the modern energy management strategy provides outstanding performance for battery life and fuel consumption compared with other energy management strategies due to its power limitation prediction.
lncRNA TINCR Regulates Proliferation and Invasion of Hepatocellular Carcinoma Cells by Regulating the miR-375/ATG7 Axis
Authors: Tang Chengwu , Yu Hongbin , Zheng Yinyuan , Feng Wenming , Shen Jiasheng
Published: September 2022

Purpose. The aim of this study was to examine the role of the long noncoding RNA (lncRNA) terminal differentiation-induced noncoding RNA (TINCR) on the proliferation, apoptosis, and invasion of liver cancer cells and its mechanism. Methods. The expression of lncRNA TINCR in twenty cases of liver cancer tissues, matched liver cancer cell lines, and paracancerous tissues was analyzed by RT-PCR. CCK-8, clonogenic test, flow cytometry, and Transwell assay were used to measure the effect of lncRNA TINCR overexpression and knockdown on cell proliferation, apoptosis, and invasion. Luciferase reporter and Western blotting showed that lncRNA TINCR regulates the expression of ATG7 through miR-375, and the rescue experiment proved that lncRNA TINCR controls the invasion and proliferation of liver cancer cells via the miR-375/ATG7 signaling pathway. Furthermore, in vivo nude mouse assay demonstrated that overexpression of lncRNA TINCR inhibited liver cancer cell growth. Results. The lncRNA TINCR was highly expressed in liver cancer tissues and cell lines. Liver cancer cells responded differently to knockdown of the lncRNA TINCR compared to overexpression in terms of proliferation, colony formation, and invasion. miR-375 negatively affected the expression of ATG7. The lncRNA TINCR bound to miR-375 and influenced its expression. Transfection of miR-375 mimics greatly inhibited the inhibitory effect of lncRNA TINCR knockdown on the invasion and proliferation, whereas transfection of miR-375 inhibitor considerably reverses this effect on liver cancer cells. Overexpressing lncRNA TINCR increased liver cancer cell proliferation in vivo. Conclusion. By controlling the miR-375/ATG7 axis, the lncRNA TINCR impacts the proliferation and invasion of liver cancer cells. Therefore, the lncRNA TINCR/miR-375/ATG7 signaling axis could be a novel biological target for the diagnosis and therapy of liver cancer.
E2F1 Affects the Therapeutic Response to Neoadjuvant Therapy in Breast Cancer
Authors: Ye Xinxing , Zhou Jie , Tong Dandan , Wang Dandan , Wang Hui , Guo Jixue , Kang Xinmei
Published: September 2022

This study is aimed at screening genes for predicting the sensitivity response and favorable outcome of neoadjuvant therapy in breast cancer. We downloaded neoadjuvant therapy genetic data of breast cancer and separated it into the pathological complete response (pCR) group and the non-pCR group. Differential expression analysis was performed to select the differentially expressed genes (DEGs). After that, we investigated the enriched biological processes and pathways of DEGs. Then, core up/down protein-protein interaction (PPI) network was, respectively, constructed to identify the hub genes. A transcription factor-target gene regulation network was built to screen core transcription factors (TFs). We found one upregulated DEG (KLHDC7B) and four downregulated DEGs (TFF1, LOC440335, SLC39A6, and MLPH) overlapped in three datasets. All DEGs were mainly enriched in pathways related to DNA biosynthesis, cell cycle, immune response, metabolism, and angiogenesis. The hub genes were KRT18, IL7R, HIST1H1A, and E2F1. The core TFs were HOXA9, SPDEF, FOXA1, E2F1, and PGR. RT-qPCR suggested that E2F1 was overexpressed in MCF-7, but HOXA9 was low-expressed. Western blot suggested that the MAPK signal pathway was inhibited in MCF-7/ADR. That is to say, some genes and core TFs can predict the sensitivity response of neoadjuvant therapy in breast cancer. And E2F1 may be involved in the process of drug resistance by regulating the MAPK signaling pathway. These might be useful as sensitive genes for the efficacy evaluation of neoadjuvant chemotherapy in breast cancer.
Comparative Evaluation of Efficacy and Safety of the Diode Laser (980 nm) and Sclerotherapy for the Treatment of Oral Pyogenic Granuloma
Authors: Shivhare Peeyush , Haidry Naqoosh , Sah Neha , Kumar Ajay , Gupta Abhishek , singh Ankur , Penumatcha Mohan Raju , Subramanyam Shalini
Published: September 2022

Background. Pyogenic granuloma (PG) is a tumor-like, non-neoplastic lesion of the soft tissue that commonly appears in the oral cavity. Various treatment modalities have been discussed, including surgical excision, cryosurgery, curettage, electrodessication, corticosteroid injection, sclerotherapy, and lasers. This observational retrospective study compared effectiveness between diode lasers and sclerotherapy for PG treatment. Materials and Methods. From July 2016 to January 2021, data of oral PG cases treated with sclerotherapy and diode lasers were gathered. Patients were evaluated and categorized according to their gender, sex, site of lesions, size of lesions, number of sessions, details of side effects, details of the VAS (Visual Analogue Scale) on third postoperative day, response of treatment to individual groups, time required for complete resolution, and details of recurrence. Inferential statistical analysis was performed. Results. We included 73 patients, of whom 43 and 30 received laser and sclerotherapy treatment, respectively. Compared with the sclerotherapy group, the laser group had less side effects including pain, edema, ulceration, ecchymosis, infections, and scarring. The difference in postoperative pain (VAS scale) between the groups was statistically significant (p-value 0.004). Complete remission was seen in the laser group, while 3 cases of the sclerotherapy group had no response (p-value −0.034). The laser group experienced greater recurrence than did the sclerotherapy group. Conclusions. Both sclerotherapy with laser and 3% sodium tetradecyl sulfate are effective for treating oral PG. Sclerotherapy is more effective in preventing recurrence. In terms of side effects, diode lasers are superior to sclerotherapy.
A Mathematical Queuing Model Analysis Using Secure Data Authentication Framework for Modern Healthcare Applications
Authors: Raj A. Samson Arun , Venkatesan R. , Malathi S. , Kumar V. D. Ambeth , Thenmozhi E. , Dhandapani Anbarasu , Kumar M. Ashok , Chitra B.
Published: September 2022

Healthcare application is one of the most promising developments to provide on-time demand services to the end users, vehicles, and other Road Side Units (RSUs) in the urban environment. In recent years, several application interfaces have been developed to connect, communicate, and share the required services from one source to another. However, the urban environment holds a complex entity of both homogenous and heterogeneous devices to which the communication/sensing range between the devices leads to connectivity breakage, lack of needed service in time, and other environmental constraints. Also, security plays a vital role in allowing everyone in the urban area to access/request services according to their needs. Again, this leads to a massive breakthrough in providing reliable service to authentic users or a catastrophic failure of service denial involving unauthorized user access. This paper proposes a novel topological architecture, Secure Authentication Relay-based Urban Network (S-ARUN), designed for healthcare and other smart city applications for registered transportation stakeholders. The registered stakeholders hold a built-in data security framework with three subsystems connected to the S-ARUN topology: (1) authentication subsystem: the stakeholder must identify themselves to the source responder as part of the authentication subsystem before transmitting the actual data service request; (2) connectivity subsystem: to periodically check the connection state of stakeholders as they travel along with the road pattern; and (3) service subsystem: each source responder will keep a separate queue for collecting data service requests, processing them quickly, and sending the results to the appropriate stakeholder. The Kerberos authentication method is used in working with S-ARUN’s model to connect the stakeholders securely and legitimately. The performance of the proposed S-ARUN is assessed, and the performance metric toward key generation and other data security-related metrics is tested with existing schemes.
Learning High-Order Semantic Representation for Intent Classification and Slot Filling on Low-Resource Language via Hypergraph
Authors: Qi Xianglong , Gao Yang , Wang Ruibin , Zhao Minghua , Cui Shengjia , Mortazavi Mohsen
Published: September 2022

Representation of language is the first and critical task for Natural Language Understanding (NLU) in a dialogue system. Pretraining, embedding model, and fine-tuning for intent classification and slot-filling are popular and well-performing approaches but are time consuming and inefficient for low-resource languages. Concretely, the out-of-vocabulary and transferring to different languages are two tough challenges for multilingual pretrained and cross-lingual transferring models. Furthermore, quality-proved parallel data are necessary for the current frameworks. Stepping over these challenges, different from the existing solutions, we propose a novel approach, the Hypergraph Transfer Encoding Network “HGTransEnNet. The proposed model leverages off-the-shelf high-quality pretrained word embedding models of resource-rich languages to learn the high-order semantic representation of low-resource languages in a transductive clustering manner of hypergraph modeling, which does not need parallel data. The experiments show that the representations learned by “HGTransEnNet” for low-resource language are more effective than the state-of-the-art language models, which are pretrained on a large-scale multilingual or monolingual corpus, in intent classification and slot-filling tasks on Indonesian and English datasets.
Construction and Application of a Piano Playing Pitch Recognition Model Based on Neural Network
Authors: Wu Guobin , Chen Wei
Published: September 2022

The intonation recognition of piano scores is an important problem in the field of music information retrieval. Based on the neural network theory, this study constructs a piano playing intonation recognition model and uses the optimized result as the feature of piano music to realize the prediction of the music recognition of the intonation preference. The model combines the behavioral preference relationship between intonation and musical notation to measure the similarity between intonations, which is used to calculate the similarity between intonation preference and music, and solves the quantification problem of intonation recognition. In the simulation process, the pitch preference feature of piano playing is used as the identification basis, and the effectiveness of the algorithm is verified through four sets of experiments. The experimental results show that the average symbol error rate of the improved network model is reduced to 0.3234%, and the model training time is about 33.3% of the traditional convolutional recurrent neural network, which is optimized in terms of recognition accuracy and training time in single-class pitch feature. In the recommended method of multi-category evaluation of pitch features, the recognition accuracy of multi-category pitch features is 42.89%, which effectively improves the musical tone recognition rate.
Numerical Study on the Optimization Design of Photovoltaic/Thermal (PV/T) Collector with Internal Corrugated Channels
Authors: Kong Xiangrui , Zhang Yuhan , Wu Jinshun , Pan Song
Published: September 2022

This study presents a theoretical study on the super thin and conductive thermal absorber with built-in corrugated channels on the basis of previous field experiments. The flow and heat transfer characteristics of the corrugated channels are simulated to identify the factors affecting photovoltaic/thermal (PV/T) system efficiency. The influences of the structural parameters such as the corrugation number, the corrugation area, and the flow channel width on the water outlet temperature and heat collection are discussed in order to support the structural optimization design of the hybrid PV/T system. The simulation results were validated to be in good agreement with experimental results. The results indicate that increasing inlet water velocity leads to a decrease in the outlet temperature. It was found that the corrugation area and the flow channel width have impacts on the outlet temperature of the hybrid PV/T collector panel. When the flow channel width of the absorber plate is reduced from 4 mm to 3 mm, the outlet temperature attained is between 298 and 302 K, and the heat collection is in the range of 16.2–51.4 MJ/h. This led to an increase in the amount of heat collected by 18.6%.
Drug Response Prediction Based on 1D Convolutional Neural Network and Attention Mechanism
Authors: Mingxun Zhu , Zhigang Meng , Jingyi Wang
Published: September 2022

There are multiple methods based on gene expression, copy number variation, and methylation biomarkers for screening drug response have been developed. On the other hand, many machine learning algorithms have been applied in recent years to predict drug response, such as neural networks and random forests for the discovery of genomic markers of drug sensitivity for individual drugs in cancer cell lines. In this paper, we propose a drug response prediction algorithm based on 1D convolutional neural networks with attention mechanism and combined with pathway networks, which combines the individual histological data affecting drug response and considers the topological nature of the pathways to find the subpathways highly correlated with drug response and use this as a feature to predict drug response by training using convolutional neural networks. Thus, the output values will represent the probability of occurrence of each of these two categories. In this experiment, using five-fold cross-validation, the identification accuracy reached an average of 84.6%, which is 4.5% higher than the direct random forest approach for drug prediction with an AUC value. This proves that the use of the one-dimensional1D convolutional neural network with attention mechanism to predict the response of low-grade glioma patients and drugs has better prediction results.
EM Algorithm-Based Enterprise Digital Transformation: Green Innovation Efficiency of Enterprise Investment
Authors: Cao Xinyu , Xu Li , Duan Qian
Published: September 2022

The digital transformation of manufacturing industry refers to the integration and application of the new generation of information technology in the field of manufacturing in the context of the current digital economy development. Architecture is the foundation of the real economy, which is closely related to digital chemistry and industrial digitalization. On the one hand, high-tech manufacturing of digital information products such as terminal equipment, smart equipment, electronic components, and integrated circuits is the material basis of digital chemical industry. It is a product of traditional manufacturing, blockchain, and artificial intelligence. On the other hand, digital technologies such as simulation technology are the core of the development of manufacturing, the key to achieving precise market positioning, expanding product functions, and improving product quality and added value. Digital technology is an intellectual industry. From the perspective of investment returns, the investment behavior of enterprises is manifested as effective investment and invalid investment. If the capital cost during the investment process is lower than the company's income, the company will not increase the investment amount for any reason, so it will not receive enough investment. Due to the low threshold of investment income, investment growth exceeding a certain threshold will actually reduce investment income and lead to excessive investment. In this context, this article studies the digital transformation of corporate enterprises based on algorithms: green innovation in investment efficiency organizations. This article deeply studies the status quo and the advantages of green innovation investment in digital technology and puts forward corresponding suggestions.
A Typological Examination of Modern Chinese OV Word Order Based on Deep Learning and the Design of Stance Expression Methods
Authors: Wu ChangLin , Wu ChangAn , Zhang Yue
Published: September 2022

Object-verb (OV) inflections are an important grammatical device in Chinese with denotative utility. The decorativeness of OV inflections shows different levels in Chinese: OV nouns denote things in reality and are the most denotative; OV independent structures can denote both denotation and trait; OV structures that are definite are not self-sufficient and denote a certain trait. The verb category of V is worn out in denotative OV structures, and OV phrases must repair the wear and tear of V’s category and enhance V’s declarativity when forming small sentences. In this paper, we propose an attention-based approach to Chinese stance representation based on modern Chinese OV order types; firstly, we use bidirectional (bidirectional) long and short-term memory neural networks (LSTM) and convolutional neural networks (CNNs) to obtain text representation vectors and local convolutional features, respectively, and then, we use attention mechanisms to add influence weight information to the local convolutional features and finally fuse the two features for classification. Experiments on the relevant corpus show that the method achieves better stance representation results, and the addition of attention mechanisms can effectively improve the accuracy of stance representation.
Preoperative CD52 Level Predicts Graft Survival following Kidney Transplantation
Authors: Ramouz Ali , Nikbakhsh Rajan , Khajeh Elias , Sadeghi Mahmoud , Daniel Volker , Schmitzler Paul , Morath Christian , Zeier Martin , Mehrabi Arianeb , Oweira Hani
Published: September 2022

Several factors have been reported to affect graft survival following kidney transplantation. CD52 molecules may increase T cell proliferation and activation, which may contribute to acute graft rejection and graft survival. In the current study, we studied the possible value of preoperative CD52 levels in predicting graft survival following renal transplantation. Ninety‐six patients with end‐stage renal disease who had kidney transplantation were included in the study from our prospective cohort. Blood samples were taken one day before surgery, and plasma CD52 levels were measured using ELISA (Cloud‐Clone Corp., Houston, TX, USA). Acute rejection, acute tubular necrosis, delayed graft function, graft loss, BK infection, cytomegalovirus infection, and graft survival were evaluated. The mean age of recipients was 50.08 ± 12.82 years, and 64.6% were male. The incidence of delayed graft function, acute rejection, graft loss (p < 0.01), BK virus infection, and serum creatinine levels were significantly higher in recipients with high preoperative CD52 levels six months after transplantation (p < 0.05). Kaplan–Meier analysis revealed that three‐year graft survival was significantly higher in patients with low preoperative CD52 levels (p < 0.0001). Univariate and multivariate Cox regression analyses showed that serum creatinine levels (hazard ratio [HR] = 1.7, p < 0.05), acute rejection (HR = 2.919, p < 0.05), and preoperative CD52 levels (HR = 3.114, p < 0.05) were independent prognostic factors for graft survival after kidney transplantation. We showed that high preoperative CD52 levels are associated with higher rates of acute rejection, delayed graft function, and BK virus infection and lower rates of graft survival after kidney transplantation.
A 516 μW, 121.2 dB-SNDR, and 125.1 dB-DR Discrete-Time Sigma-Delta Modulator with a 20 kHz BW
Authors: Kong Lingwei
Published: September 2022

This article proposed a discrete-time single-loop 3rd order 5-bit Sigma-Delta (ΣΔ) modulator for the audio applications. In this modulator, a feed forward path is used to relax the design requirement of amplifier, which can reduce integrator’s output swing. And a 5-bit asynchronous SAR ADC combined with analog summing is adopted to quantify the summation of feedforward signal and loop filter output, which can significantly reduce power consumption. In addition, chopper stabilization technique is used to alleviate the flicker noise introduced by the first integrator. To eliminate the nonlinearity introduced by multibit quantizer, an improved data weighted average algorithm calibration circuit is proposed. The proposed modulator is implemented in 130 nm technology with a 1.12 mm2 core area. Operating at a 2.56MS/s sampling rate, post layout simulation results show that the modulator realizes 121.2-dB SNDR and 125.1-dB DR in a 20 kHz signal bandwidth, it dissipating 516 μW from 1.5 V supply. It also achieves the energy efficiency, as demonstrated by a Schreier figure of merit (FoMS) of 197 dB.
Collaborative Optimization for Torsion Beam Opening Direction and Rubber Bushing Installation Angle of Torsion Beam Suspension to Improve Frequency Response Characteristics of the Vehicle
Authors: Gao Jin
Published: September 2022

The structure of torsion beam suspension is analyzed, and based on the real vehicle, the torsion beam suspension coupled with flexible torsion beam and the multibody dynamics model of vehicle is established. The influence mechanism of torsion beam opening angle and rubber bushing installation angle on roll center and roll stiffness of suspension is systematically analyzed. Under different opening angles of torsion beam and different rubber bushing installation angles, a comparative analysis of the changes of the toe angle and camber angle is carried out when the torsion beam suspension is moved and subjected to force. Based on simulation of the sine swept steering input of vehicle, the frequency response characteristic index of vehicle is taken as the optimization objectives, the opening angle of the torsion beam and rubber bushing installation angle of the vehicle are taken as the optimization variables, and performance of the whole vehicle is optimized by using multiobjective optimization algorithm. The optimized vehicle and original vehicle are compared with the frequency response characteristics and steady-state characteristics. The results show the frequency response and steady-state characteristics of the optimized vehicle have been improved.
High Expression of EIF4G2 Mediated by the TUG1/Hsa-miR-26a-5p Axis Is Associated with Poor Prognosis and Immune Infiltration of Gastric Cancer
Authors: Fu Liu , Wang Zhe , Jiang Fengxiang , Wei Guohua , Sun Longe , Guo Chuanyong , Wu Jianye , Zhu Jianhuan
Published: September 2022

Objective. Eukaryotic translation initiation factor 4 gamma 2 (EIF4G2) is involved in the occurrence and development of various tumors. However, the effect of EIF4G2 in gastric cancer (GC) has not been fully explored. The purpose of this study was to explore the function and mechanism of EIF4G2 in GC. Methods. The Tumor Immune Estimation Resource 2.0 database was used to analyze EIF4G2 expression in various cancers and the relationship between EIF4G2 expression and tumor-infiltrating immune cells. Gene Expression Profiling Interactive Analysis was utilized to assess the EIF4G2 expression level and its effect on survival in GC. UALCAN was conducted to analyze EIF4G2 expression in various subgroups of GC. The Kaplan–Meier plotter was employed for survival analysis. Receiver operator characteristic (ROC) curve analysis was applied to evaluate the diagnostic role of EIF4G2 in GC. LinkedOmics was used to identify the co-expressed genes and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. The Tumor-Immune System Interaction database was employed to analyze the correlation between EIF4G2 expression and tumor-infiltrating lymphocytes. The starBase web platform was used to predict the upstream microRNAs and long noncoding RNAs. Results. EIF4G2 expression was upregulated in GC tissues compared to normal controls. High expression of EIF4G2 indicated poor prognosis in GC. ROC analysis revealed that EIF4G2 had good diagnostic ability to distinguish GC from normal tissues. Immune infiltration analysis indicated that EIF4G2 expression may be involved in the modulation of tumor immune infiltration in GC. Finally, we determined that the Taurine Upregulated 1 (TUG1)/hsa-miR-26a-5p/EIF4G2 axis was the most likely regulatory pathway involved in GC development. Conclusions. EIF4G2 was upregulated in GC and elevated expression of EIF4G2 indicated unfavorable prognosis. Moreover, EIF4G2 expression may be involved in the regulation of tumor immune cell infiltration. The TUG1/hsa-miR-26a-5p axis is a likely upstream regulatory mechanism of EIF4G2 in GC. EIF4G2 may thus serve as a prognosis biomarker and present a new therapeutic target.