bluuebunny/crossref_metadata_2025 huggingface dataset:
Understanding Privacy Risks and Perceived Benefits in Open Dataset Collection for Mobile Affective Computing
Authors: Lee Hyunsoo , Kang Soowon , Lee Uichin
Published: July 2022

Collecting large-scale mobile and wearable sensor datasets from daily contexts is essential in developing machine learning models for enabling everyday affective computing applications. However, there is a lack of knowledge on data contributors' perceived benefits and risks in participating in open dataset collection projects. To bridge this gap, we conducted an in-situ study on building an open dataset with mobile and wearable devices for affective computing research (N = 100, 4 weeks). Our study results showed that a mixture of financial and altruistic benefits was important in eliciting data contribution. Sensor-specific risks were largely associated with the revelation of personal traits and social behaviors. However, most of the participants were less concerned with open dataset collection and their perceived sensitivity of each sensor data did not change over time. We further discuss alternative approaches to promote data contributors' motivations and suggest design guidelines to alleviate potential privacy concerns in mobile open dataset collection.
First-Gen Lens
Authors: Wang Weichen , Nepal Subigya , Huckins Jeremy F. , Hernandez Lessley , Vojdanovski Vlado , Mack Dante , Plomp Jane , Pillai Arvind , Obuchi Mikio , daSilva Alex , Murphy Eilis , Hedlund Elin , Rogers Courtney , Meyer Meghan , Campbell Andrew
Published: July 2022

The transition from high school to college is a taxing time for young adults. New students arriving on campus navigate a myriad of challenges centered around adapting to new living situations, financial needs, academic pressures and social demands. First-year students need to gain new skills and strategies to cope with these new demands in order to make good decisions, ease their transition to independent living and ultimately succeed. In general, first-generation students are less prepared when they enter college in comparison to non-first-generation students. This presents additional challenges for first-generation students to overcome and be successful during their college years. We study first-year students through the lens of mobile phone sensing across their first year at college, including all academic terms and breaks. We collect longitudinal mobile sensing data for N=180 first-year college students, where 27 of the students are first-generation, representing 15% of the study cohort and representative of the number of first-generation students admitted each year at the study institution, Dartmouth College. We discuss risk factors, behavioral patterns and mental health of first-generation and non-first-generation students. We propose a deep learning model that accurately predicts the mental health of first-generation students by taking into account important distinguishing behavioral factors of first-generation students. Our study, which uses the StudentLife app, offers data-informed insights that could be used to identify struggling students and provide new forms of phone-based interventions with the goal of keeping students on track.
The Role of Machine Learning in Cybersecurity
Authors: Apruzzese Giovanni , Laskov Pavel , Montes de Oca Edgardo , Mallouli Wissam , Brdalo Rapa Luis , Grammatopoulos Athanasios Vasileios , Di Franco Fabio
Published: July 2022

Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a significant discrepancy between research and practice. Such a discrepancy has its root cause in the current state of the art, which does not allow us to identify the role of ML in cybersecurity. The full potential of ML will never be unleashed unless its pros and cons are understood by a broad audience.

This article is the first attempt to provide a holistic understanding of the role of ML in the entire cybersecurity domain—to any potential reader with an interest in this topic. We highlight the advantages of ML with respect to human-driven detection methods, as well as the additional tasks that can be addressed by ML in cybersecurity. Moreover, we elucidate various intrinsic problems affecting real ML deployments in cybersecurity. Finally, we present how various stakeholders can contribute to future developments of ML in cybersecurity, which is essential for further progress in this field. Our contributions are complemented with two
real
case studies describing industrial applications of ML as defense against cyber-threats.
Eye-tracking Technologies in Mobile Devices Using Edge Computing: A Systematic Review
Authors: Gunawardena Nishan , Ginige Jeewani Anupama , Javadi Bahman
Published: July 2022

Eye-tracking provides invaluable insight into the cognitive activities underlying a wide range of human behaviours. Identifying cognitive activities provides valuable perceptions of human learning patterns and signs of cognitive diseases like Alzheimer’s, Parkinson’s, and autism. Also, mobile devices have changed the way that we experience daily life and become a pervasive part. This systematic review provides a detailed analysis of mobile device eye-tracking technology reported in 36 studies published in high-ranked scientific journals from 2010 to 2020 (September), along with several reports from grey literature. The review provides in-depth analysis on algorithms, additional apparatus, calibration methods, computational systems, and metrics applied to measure the performance of the proposed solutions. Also, the review presents a comprehensive classification of mobile device eye-tracking applications used across various domains such as healthcare, education, road safety, news, and human authentication. We have outlined the shortcomings identified in the literature and the limitations of the current mobile device eye-tracking technologies, such as using the front-facing mobile camera. Further, we have proposed an edge computing driven eye-tracking solution to achieve the real-time eye-tracking experience. Based on the findings, the article outlines various research gaps and future opportunities that are expected to be of significant value for improving the work in the eye-tracking domain.
Analysis of the Deterioration of High-Voltage Insulators in Service Areas Due to Contamination Factors
Authors: Kim Taeyong , Sanyal Simpy , Rabelo Matheus , Yi Junsin
Published: July 2022

This article discussed the deterioration of porcelain insulators which accounts for more than 50% of the maintenance costs in an accident event. We highlighted deterioration mechanisms and preventive methods to predict failure due to various pollutants such as Cl, NOx, SOx, CO2, temperature. Deterioration mechanisms have been organized for each component of the insulator. Galvanic corrosion occurs due to pollutants in the atmosphere. Corrosion occurs mainly in the metal part In the case of cement, alkali silica reaction (ASR) caused carbonation due to presence of carbon dioxide in the air, high hydrogen ion concentration and humidity conditions. The expansion of cement begins because of the reactive substance of silica. The main components of cement, CaO and Na+, K+ ion, are deteriorated in response to silica gel. Expansion can cause mechanical detachment. The deterioration of cement can be determined using a universal indicator. Degradation of insulation resistance occurs when contaminants are attached to the porcelain and may not reduce insulation resistance depending on the form of contaminant. When contamination begins, the degradation of insulation resistance begins rapidly when it becomes humidity is high.
Improved Ultraviolet-B Light-Emitting Diodes with Graded All Quaternary Layers in the Active Region
Authors: Usman Muhammad , Malik Shahzeb
Published: July 2022

We employ quaternary graded AlInGaN layers numerically in the active region to study the effect on the optoelectronic properties of AlGaN-based ultraviolet light-emitting diodes (UV LEDs). We evaluated the device performance by analyzing carriers concentrations, carrier flux, radiative recombination rate, energy band diagrams and internal quantum efficiency (IQE). We compare the results with the reference device structure and found that the device with quaternary graded AlInGaN layers has high peak efficiency as well as low efficiency droop.
Investigations on Al2O3-Dielectric Wide-Gap Al0.3Ga0.7N Channel MOS-HFETs with Composite Al2O3/In Situ SiN Passivation
Authors: Lee Ching-Sung , Lee Kuan-Ting , Hsu Wei-Chou , Liu Han-Yin , Yang Wen-Luh , Ko Chien-Hung
Published: July 2022

Al05Ga0.5N/n-Al0.3Ga0.7N/AlN metal-oxide-semiconductor heterostructure field- effect transistors (MOS-HFETs), grown on a SiC substrate, with composite Al2O3/in situ SiN passivation and Al2O3 gate dielectric are investigated. 20 nm thick high-k Al2O3 was deposited by using a non-vacuum ultrasonic spray pyrolysis deposition (USPD) method. Comparative studies between an in situ SiN-passivated Schottky-gate HFET (sample A) and a composite Al2O3/SiN-passivated MOS-HFET were made. Besides, electrical and deep-UV sensing characteristics for devices with different gate-drain separations (L

GD
) of 6 μm and 14 μm were also studied. Improved device performances have been obtained for the present sample B (A) with L

GD
= 6/14 μm separately, including maximum drain-source current density (I

DS, max) of 634.4/463.1 (421.8/301.1) mA mm−1, maximum extrinsic transconductance (g

m, max) of 25.2/17.9 (19.1/15.2) mS mm−1, on/off-current ratio (I

on
/I

off
) of 7.4 × 107/5.4 × 107 (4.5 × 105/5.4 × 104), two-terminal off-state gate-drain breakdown voltage (BV

GD
) of −420/−480 (−320/−390) V, and three-terminal on-state drain-source breakdown voltage (BV

DS
) of 310/380 (220/300) V at 300 K. Superior spectral responsivity (SR) of 885.6 A W−1 under 250 nm deep-UV radiation has also been achieved for the present MOS-HFET.
Regulation of the Phase Composition on Zn1.4Al1.2Ge0.4O4: Cr3+ Phosphor Luminescence Color
Authors: Wu Shiran , Wang Yue , Liu Yunfeng , Wu MengYa , Shen Yi
Published: July 2022

We have proposed a type of Cr3+-doped Zn1.4Al1.2Ge0.4O4: Cr3+ phosphor by replacing ZnAl2O4: Cr3+ with germanium at different sintering temperatures in the high-temperature solid-phase method. Unlike the luminescence of common near-infrared ZnAl2O4 phosphors, Zn1.4Al1.2Ge0.4O4: Cr3+ phosphors have a more intense and persistent luminescence. At the same time, under the irradiation of 254 nm ultraviolet light, samples with different sintering temperatures show different luminescence colors. Phosphors exhibit long afterglow bluish white emission at sintering temperature below 1200 °C, and above 1200 °C (including 1200 °C), phosphors exhibit near-infrared long afterglow emission. This experiment systematically studies the effect of sintering temperature on Zn1.4Al1.2Ge0.4O4: Cr3+. The experimental results show that the abnormal blueish white emission of phosphors is related to the Zn2GeO4 formed during sintering. Zn2GeO4 is a self-luminous material with natural defects and shows a bluish white emission excited by ultraviolet rays. As the sintering temperature increases, the Zn2GeO4 phase in phosphors gradually disappears, Ge4+ ions enter the ZnAl2O4 lattice to replace Al3+ ions, and the emission color of Zn1.4Al1.2Ge0.4O4: Cr3+ phosphors changes from bluish white emission to near-infrared emission. Zn1.4Al1.2Ge0.4O4: Cr3+ phosphors showed different luminescence colors at different sintering temperatures, which enriched the luminescent properties of zinc aluminate-based phosphors.
Pharmacological inhibitors of autophagy have opposite effects in acute and chronic cisplatin-induced kidney injury
Authors: Sears Sophia M. , Feng Joanna L. , Orwick Andrew , Vega Alexis A. , Krueger Austin M. , Shah Parag P. , Doll Mark A. , Beverly Levi J. , Siskind Leah J.
Published: July 2022

This study examined how inhibition of autophagy has opposite effects on the development of acute and chronic kidney injury. Autophagy inhibition exacerbated the development of acute kidney injury following a single high dose of cisplatin but prevented the development of injury and fibrosis following repeated low doses of cisplatin.
The acute effect of exercise intensity on peripheral and cerebral vascular function in healthy adults
Authors: Weston Max E. , Koep Jodie L. , Lester Alice B. , Barker Alan R. , Bond Bert
Published: July 2022

This is the first study to identify that acute improvements in peripheral vascular function following high-intensity interval exercise are not mirrored by improvements in cerebrovascular reactivity in healthy young adults. High-intensity interval exercise completed at both 75% and 90% V̇o2max increased brachial artery flow-mediated dilation 1 and 3 h following exercise, compared with continuous moderate-intensity exercise and a sedentary control condition. By contrast, cerebrovascular reactivity was unchanged following all four conditions.
Multiresponse Optimization of Mechanical and Physical Adsorption Properties of Activated Natural Fibers Hybrid Composites
Authors: Velmurugan G. , Siva Shankar V. , Natrayan L. , Sekar S. , Patil Pravin P. , Kumar M. Senthil , Thanappan Subash
Published: July 2022

In the current scenario, natural fiber-based biodegradable composites have increased because natural composite fibers are very cheap, biodegradable, lightweight, fireproof, and nontoxic. The present research work was carried out to optimize the mechanical properties of hybrid composites reinforced by Calotropis gigantea and hemp. To achieve these objectives, the following process parameters were determined, and RSM carried out optimization with the Box-Behnken experimental setup at three different levels: compression molding temperature (°C), pressure (bar), and time (min). The fibers were pretreated for 4 hours with a 5% NaOH solution to prevent moisture absorption. Regression equations were constructed to evaluate the mechanical properties, and the best process parameters were established. The results reveal that a pressure of 35 bar, a time duration of 7 minutes, and a temperature of 176°C are the best conditions for compression molding. The second aim was to compare CGF and hemp fiber-derived activated carbon adsorbents by determining physical adsorption properties, chemical compositions, and scanning electron microscope. Natural fibers were shown to be ideal candidates for manufacturing mesoporous activated carbon adsorbents with high surface area (1389–1433 m2/g), high mesopore percentage (63–68%), and high carbon content (80–87%). Even though hemp activated carbon had a greater mesoporous structure (69%) than CGF-derived activated carbons, the CGF-derived activated carbons had larger surface areas and higher C content.
Application Value of the CT Scan 3D Reconstruction Technique in Maxillofacial Fracture Patients
Authors: Kang Jie , Jiang Lijie
Published: July 2022

Purpose The aim of the study was to explore the application value of computerized tomography (CT) scan 3D reconstruction technology in maxillofacial fracture patients. Methods A total of 80 maxillofacial fracture patients who underwent surgical treatment in Shijiazhuang People's Hospital from January 2019 to January 2020 were enrolled. All of them received 128-slice spiral CT  scans before surgery, and the images were subjected to multiplanar reconstruction (MRP) and volume reconstruction (VR). Results A total of 181 fractures were found in 80 patients with maxillofacial fractures. The detection rates of axial CT, MRP, and VR were 77.90% (141/181), 93.92% (170/181), and 97.79% (177/181), respectively. The detection rates of the four inspection methods were statistically different. Taking the findings of surgical anatomy as the gold standard, the sensitivity of MRP and VR for the diagnosis of maxillofacial fractures was 90.06% (163/170) and 95.56% (174/177), with no significant difference. Conclusion CT scan 3D reconstruction technology has a high application value in the clinical diagnosis and treatment of maxillofacial fracture patients.
Observation of Wound Healing Effect and Aesthetic Satisfaction of Patient with Second Degree Burn Wounds Treated by Kangfuxin Solution
Authors: Liu Changhai , Zhong Yuren , Wei Cuie , Meng Fanjun , Pei Yongdong , Ding Xiangsheng
Published: July 2022

Objective. To study the effect of wound healing and aesthetic satisfaction of patient with second degree burn wounds treated by Kangfuxin solution. Methods. 84 cases of burn plastic surgery in our hospital from October 2020 to October 2021 were included. All patients were randomly divided into observation group and control group with 42 cases in each group. Patients in both groups received basic treatment after admission, and patients in the control group received conventional treatment. Patients in the observation group were treated with Kangfuxin solution after admission. The clinical efficacy, wound healing time, secretion disappearance time, infection rate, and scar formation rate after treatment were compared between the two groups. The scores of patients and observer scar assessment scale (POSAS) before and after treatment were compared between the two groups, and the occurrence of adverse reactions during treatment was also compared between the two groups. Results. The total effective rate of the observation group was 92.86%, which was significantly higher than that of the control group (61.90%) (

P
<
0.05

).The time of wound healing and secretion disappearance in the observation group was significantly shorter than that in the control group (

P
<
0.05

); the infection rate and scar formation rate in the observation group were significantly lower than those in the control group (

P
<
0.05

).The scores of PSAs and OSAS in the observation group were significantly lower than those before treatment and after treatment in the control group (

P
<
0.05

). There was no significant difference in the total incidence of adverse reactions between the observation group (7.14%) and the control group (9.52%) (

P
>
0.05

). Conclusion. The Kangfuxin solution has the advantages of fast wound healing, high patient satisfaction, better therapeutic effect, and high safety, which is worth clinical application.
Analysis of Safety Behavior of Prefabricated Building Workers’ Hoisting Operation Based on Computer Vision
Authors: Xu Gang
Published: July 2022

Safety accidents occur frequently in the construction industry, and unsafe behavior of workers is one of the main reasons for the occurrence of safety accidents. In recent years, the rapid development of emerging technologies has provided effective support for the automatic identification of unsafe behaviors. In particular, computer vision technology does not require equipment to be attached to workers. It has little impact on its operation and can process a large amount of image data in a timely and fast manner. Therefore, it is more suitable for the construction site environment. This study starts from the hoisting operation on the construction site of prefabricated building projects and introduces relevant machine learning methods. Early warning analysis on the safety risk of the tower crane is carried out to complete the hoisting operation of prefabricated components. To suspend dangerous tasks in time according to the warning results, relevant measures are taken and potential risks are eliminated to prevent accidents.
CD226 Deficiency Alleviates Murine Allergic Rhinitis by Suppressing Group 2 Innate Lymphoid Cell Responses
Authors: Xie Yang , Zhang Yuan , Zhu Tianxiao , Ma Jingchang , Duan Chujun , Yang Lu , Wang Tingting , Zhuang Ran , Bian Ka , Lu Lianjun
Published: July 2022

Allergic rhinitis (AR) is an immunoglobulin E-mediated type 2 inflammation of the nasal mucosa that is mainly driven by type 2 helper T cells (Th2) and type 2 innate lymphoid cells (ILC2s). CD226 is a costimulatory molecule associated with inflammatory response and is mainly expressed on T cells, natural killer cells, and monocytes. This study is aimed at elucidating the role of CD226 in allergic inflammatory responses in murine AR using global and CD4+ T cell-specific Cd226 knockout (KO) mice. AR nasal symptoms were assessed based on the frequency of nose rubbing and sneezing. Hematoxylin and eosin and periodic acid–Schiff staining and quantitative real-time PCR methods were used to determine eosinophils, goblet cells, and ILC2-associated mRNA levels in the nasal tissues of mice. CD226 levels on ILC2s were detected using flow cytometry, and an immunofluorescence double staining assay was employed to determine the number of ILC2s in the nasal mucosa. The results showed that global Cd226 KO mice, but not CD4+ T cell-specific Cd226 KO mice, exhibited attenuated AR nasal symptoms. Eosinophil recruitment, goblet cell proliferation, and Th2-inflammatory cytokines were significantly reduced, which resulted in the alleviation of allergic and inflammatory responses. ILC2s in the murine nasal mucosa expressed higher levels of CD226 after ovalbumin stimulation, and CD226 deficiency led to a reduction in the proportion of nasal ILC2s and ILC2-related inflammatory gene expression. Hence, the effect of CD226 on the AR mouse model may involve the regulation of ILC2 function rather than CD4+ T cells.
Texture Feature Extraction and Morphological Analysis of Landslide Based on Image Edge Detection
Authors: Wang Feng , Wu E. , Chen Siyan , Wu Hao
Published: July 2022

Landslides in nature are harmful to economic development and people’s lives and cause irreparable losses to the environment. With the application of image detection technology and intelligent algorithm, a new way for landslide detection is proposed to achieve effective detection and identification of hazards. This paper takes the landslide as the data set, carries on the noise reduction, the image expansion, and the image segmentation processing to the image, and extracts the object region information. The quantitative description of the azimuth displacement and displacement change of the crack curve is completed in this paper. This method is suitable for 3D simulation model, sand and stone model, soil model, and the sliding test results of Panzhihua Flight Field, which proves that the design method is effective. Experiments show that when sliding occurs, the texture and color become chaotic, the usual mountain becomes more in the regular state, and the extraction of features is very different. The method has better recognition effect for the hillside covered with vegetation, the recognition time is short, and the recognition rate can reach 90%.
The intelligent Traffic Management System for Emergency Medical Service Station Location and Allocation of Ambulances
Authors: Asgharizadeh Ezzatollah , Kadivar Mahsa , Noroozi Mohammad , Mottaghi Vahid , Mohammadi Hamed , Chobar Adel Pourghader
Published: July 2022

In the present study, the optimization of medical services considering the role of intelligent traffic management is of concern. In this regard, a two-objective mathematical model of a medical emergency system is assessed in order to determine the location of emergency stations and determine the required number of ambulances to be allocated to the station. The objective functions are the maximization of covering the emergency demands and minimization of total costs. Moreover, the use of an intelligent traffic management system to speed up the ambulance is addressed. In this regard, the proposed two-objective mathematical model has been formulated, and a robust counterpart formulation under uncertainty is applied. In the proposed method, the values of the objective function increase as the problem becomes wider and, with a slight difference in large dimensions, converge in terms of the solution. The numerical results indicate that, as the problem's complexity increases, the robust optimization method is still effective because, with the increasing complexity of the problem, it can still solve large-scale problems in a reasonable time. Moreover, the difference between the value of the objective function in the proposed method and the presence of uncertainty parameters is very small and, in large dimensions, is quite logical and negligible. The sensitivity analysis shows that, with increasing demand, both the number of ambulances required and the amount of objective function have increased significantly.
Personalized Recommendation Algorithm of Tourist Attractions Based on Transfer Learning
Authors: Xueting Liu
Published: July 2022

With the development of information technology and the popularity of the Internet, the data on the network is growing exponentially. Information overload has become a significant issue for consumers seeking information. A recommendation system was created to detect users’ interests from huge amounts of data and to suit users’ specific information needs. Traditional collaborative filtering recommendation mostly uses scoring data for a recommendation, which has the problem of sparse data, which limits the performance of the recommendation system. On this basis, this paper studies the personalized recommendation algorithm of scenic spots with deep migration. Through the analysis of collaborative filtering recommendation methods, it is found that the traditional collaborative filtering methods only use scoring data for a recommendation, which has the problem of sparse data. Based on the vectorization of user interest, the similarity of user preference is calculated, and the matrix decomposition is carried out in cooperation with user implicit feedback, to integrate the knowledge transfer information into the matrix decomposition model, and make up for the lack of considering the attribute information of scenic spots in the matrix decomposition algorithm, and alleviate the problem of data sparsity. The findings of comparative trials suggest that the personalized scenic location recommendation approach proposed in this study, which is based on the depth migration algorithm, is effective. Compared with the benchmark recommendation method, the recommendation accuracy and recall rate has been improved to a certain extent.
Design of Ecological Environment Monitoring System Based on Internet of Things Technology
Authors: Chen Limin , Zhang Lei
Published: July 2022

Because of its high availability, Internet of Things technology is widely used in multipoint ecological environment monitoring and other related fields, which greatly improves the scientificity and accuracy of ecological environment monitoring results. The Internet of Things technology can realize multilevel and omnidirectional environmental monitoring functions by combining GPS systems and GIS systems and, at the same time, can significantly increase the monitoring range of environmental monitoring. On the basis of the Internet of Things monitoring technology, the use of electronic sensors can track and monitor the content and composition of various elements in the environment in real time, thereby reducing the work intensity of environmental monitoring personnel and effectively improving the environment reliability of monitoring results. In this study, we introduce the actual application and direction of the Internet of Things technology in multisite environmental monitoring systems. A water quality pH and temperature sensor monitoring system based on wireless data transmission is designed. Experimental analysis shows that the communication stability of the designed sensor system is relatively good. The average packet loss rate of the network is only 0.87%. The value measured by the designed sensor is very close to the reference value measured by the standard instrument. The average relative error of pH and temperature is 1.56% and 0.77%, respectively, which meets the water quality environmental monitoring standards. It is believed that the use of Internet of Things technology in ecological environment monitoring can effectively solve the problems of low efficiency and low rationality in traditional environmental monitoring methods, thereby fully improving the quality and level of monitoring in ecological environment monitoring.
Identification of Prognostic Markers for Head and NeckSquamous Cell Carcinoma Based on Glycolysis-Related Genes
Authors: Ren Xiaobin , Song Lin Jing , Zhang Mingzhu , Zhang Wanli , Lin Ken , He Hongbing
Published: July 2022

Head and neck squamous cell carcinomas (HNSCCs) comprise a heterogeneous group of tumors. Many patients respond differently to treatment and prognosis due to molecular heterogeneity. There is an urgent need to identify novel biomarkers to predict the prognosis of patients with HNSCC. Glycolysis has an important influence on the progress of HNSCC. Therefore, we investigated the prognostic significance of glycolysis-related genes in HNSCC. Our results showed that ELF3, AURKA, and ADH7 of 20 glycolysis-related DEGs were significantly related to survival and were used to construct the risk signature. The risk score showed high accuracy in distinguishing the overall survival (OS) of HNSCC. The Kaplan–Meier curves demonstrated that the risk score was associated with an unfavorable prognosis in patients with female sex, male sex, grade 3, T1/2 stage, N+ stage, N2 stage, M0 stage, and clinical stage III/IV. Independent prognostic analysis showed that clinical stage and risk score were strongly associated with OS. Moreover, the risk score had higher accuracy in predicting 1-, 3-, and 5-year survival. AURKA and ADH7 were only significantly related to M1 macrophages and neutrophils, respectively, while ELF3 was significantly correlated with M2 macrophages and monocytes (all

p
<
0.05

).The ceRNA network demonstrated that miR-335-5p and miR-9-5p may play core roles in the regulation of these three genes in HNSCC. The risk score constructed based on three glycolysis-related genes showed high accuracy in predicting the prognosis and clinicopathological characteristics of HNSCC.
Success Rate Comparis on of External Dacryocystorhinostomy with 5-FU Application or Silicone Tube Intubation
Authors: Dirim Ayşe Burcu , Türker Ibrahim Çağrı , Uslu Doğan Ceylan , Şendül Selam Yekta , Akbaş Özyürek Emine Betül
Published: July 2022

Aims. To compare anatomical and functional success rates in patients with primary acquired nasolacrimal duct obstruction undergoing external dacryocystorhinostomy (EX-DCR) either with adjunctive 5-fluorouracil (5-FU) or silicone tube intubation. Methods. In this retrospective comparative study, 37 eyes in 32 patients who underwent EX-DCR with adjunctive 5-FU (5-FU group) and 43 eyes in 40 patients who underwent EX-DCR with silicone intubation (controls) between 2018 and 2019 were included. Results. The mean age of patients in 5-FU and control groups was 59.8 ± 9.4 and 57.0 ± 15.3 years, respectively. The mean follow-up was 18.70 ± 3.47 months in the 5-FU group and 21.38 ± 7.76 months in the control group. Anatomical success was determined based on patency rates at the time of irrigation and recurrence, while subjective symptoms (improvement in tearing) were used to evaluate the functional success. Lacrimal patency rates in 5-FU and control groups were 83.3% and 86.0%, respectively, while recurrence was observed in 16.2% of 5-FU and 14.0% of control subjects. The two groups were comparable in terms of patency and recurrence rates (

p
=
0.777

) as well as rates of epiphora (

p
=
0.212

). Conclusion. Both EX-DCR procedures were effective in the management of nasolacrimal duct obstruction. Our results suggest that EX-DCR augmented with 5-FU may represent a more feasible and cost-effective therapeutic option as compared to silicone tube placement in these patients.
Mulberrin Confers Protection against Doxorubicin-Induced Cardiotoxicity via Regulating AKT Signaling Pathways in Mice
Authors: Ye Peng , Li Wen-Lan , Bao Long-Tang , Ke Wei
Published: July 2022

Doxorubicin (DOX) is an antitumor anthracycline, but its clinical use was largely limited by its cardiac toxicity. DOX-induced oxidative damage and cardiomyocyte loss have been recognized as the potential causative mechanisms of this cardiac toxicity. Growing interests are raised on mulberrin (Mul) for its wide spectrum of biological activities, including antioxidative and anti-inflammatory properties. The aim of this study was to investigate the effect of Mul on DOX-induced heart injury and to clarify the underlying mechanism. Mice were given daily 60 mg/kg of Mul via gavage for 10 days. Mice received an intraperitoneal injection of DOX to mimic the model of DOX-related acute cardiac injury at the seventh day of Mul treatment. Mul-treated mice had an attenuated cardiac injured response and improved cardiac function after DOX injection. DOX-induced oxidative damage, inflammation accumulation, and myocardial apoptosis were largely attenuated by the treatment of Mul. Activated protein kinase B (AKT) activation was essential for the protective effects of Mul against DOX-induced cardiac toxicity, and AKT inactivation abolished Mul-mediated protective effects against DOX cardiotoxicity. In conclusion, Mul treatment attenuated DOX-induced cardiac toxicity via activation of the AKT signaling pathway. Mul might be a promising therapeutic agent against DOX-induced cardiac toxicity.
Development of the TOA-Related Models for PM2.5 Prediction Pre- and Post-COVID-19 Outbreak over Yangtze River Delta Region of China
Authors: Yang Lijuan , Shi Tingting , Lin Musheng , Wu Junjie , Wang Shuai , Liu Youwen
Published: July 2022

The lockdown and the strict regulation measures implemented by Chinese government due to the outbreak of the COVID-19 pandemic not only decelerated the spread of the virus but also brought a positive effect on the nationwide atmospheric quality. In this study, we extended our previous research on remotely sensed estimation of PM2.5 concentrations in Yangtze River Delta region (i.e., YRD) of China from 2019 to the strict regulation period of 2020 (i.e., 24 Jan, 2020-31 Aug, 2020). Unlike the method using aerosol optical depth (AOD) developed in previous studies, we validated the possibility of moderate resolution imaging spectroradiometer (MODIS) top-of-atmosphere (TOA) reflectance (i.e., MODIS TOA) at 21 bands in estimating the PM2.5 concentrations in YRD region. Two random forests (i.e., TOA-sig RF and TOA-all RF) incorporated with different MODIS TOA datasets were developed, and the results showed that the TOA-sig RF model performed better with

R

2

of 0.81 (

RMSE
=
8.07

 μg/m3) than TOA-all RF model with

R

2

of 0.79 (

RMSE
=
9.13

 μg/m3). The monthly averaged PM2.5 exhibited the highest value of 50.81 μg/m3 in YRD region in January 2020 and sharply decreased from February to August 2020. The annual mean PM2.5 concentrations derived by TOA-sig RF model were 47.74, 32.14, and 21.04 μg/m3 in winter, spring, and summer in YRD during the strict regulation period of 2020, respectively, showing much lower values than those in 2019. Our research demonstrated that the PM2.5 concentrations could be effectively estimated by using MODIS TOA reflectance at 21 bands and the random forest.
Application of Symmetric Encryption Algorithm Sensor in the Research of College Student Security Management System
Authors: Wu Kexu , Li Chaolin
Published: July 2022

In order to solve the problem of information leakage in the process of college students’ information security management, this paper proposes a design of college students’ security management system based on a symmetric encryption algorithm. The system is based on the principle of the symmetric encryption algorithm and follows the principle of encryption independence to ensure the security and reliability of the system. The general framework of the system is analyzed in detail. Secondly, the security and database of system function modules are designed, and finally, the performance of the system is tested. The results are as follows: the safety management system designed in this paper has obtained satisfactory evaluation in the trial universities, accounting for 93% of the trial population. It is proved that this system has clear authority design, high efficiency, and security. Managers can query students’ basic information, students’ real-time location, alarm data information, and so on in real time, which can ensure students’ safety to the greatest extent.
Meta-Analysis of Low Temperature Plasma Radiofrequency Ablation and CO2 Laser Surgery on Early Glottic Laryngeal Carcinoma
Authors: Wang Cheng , Zhao Ye , Li Changhu , Song Qiang , Wang Fuxing
Published: July 2022

Objective. Meta-analysis is used to analyze the treatment of early glottic laryngeal carcinoma by cryogenic plasma radiofrequency ablation combined with CO2 laser surgery. Methods. Retrieval of PubMed, Embase, Medline, VIP, Wanfang, and CNKI databases using a computer. The retrieval period is from the creation of the database until August 31, 2021. References to the included literature were also searched at the same time. According to the inclusion and exclusion criteria, literatures are screened independently, relevant data were extracted, and meta-analysis was conducted. Results. Recurrence rates are reported in seven literatures. In interstudy heterogeneity test:

P
=
0.624

,

I

2

=
0
%

, fixed effect model analysis shows that there is no significant difference in recurrence rate between low temperature plasma radiofrequency ablation and CO2 laser ablation (

OR
=
0.80

, 95% CI (0.35, 1.29),

P
=
0.371

). Intraoperative blood loss is reported in 5 literatures, and heterogeneity test of each study is as follows:

P
=
0.03

,

I

2

=
67
%

. Low temperature plasma radiofrequency ablation results in more intraoperative blood loss than CO2 laser ablation (

SMD
=
−
0.71

, 95% CI (0.08, 0.82),

P
=
0.01

). There are five reports on postoperative pain in two treatments:

P
=
0.04

,

I

2

=
64
%

. There is no significant difference in postoperative pain between low temperature plasma radiofrequency ablation and CO2 laser ablation (

SMD
=
−
0.21

, 95% CI (-0.44, 0.10),

P
=
0.134

). Operative time is reported in nine articles:

P
<
0.01

,

I

2

=
95
%

. The operative time of low temperature plasma radiofrequency ablation is significantly shorter than CO2 laser ablation (

SMD
=
−
2.38

, 95% CI (-3.91, -1.62),

P
<
0.01

). There are two reports on postoperative mucosal recovery:

P
=
0.328

,

I

2

=
2
%

. Low temperature plasma radiofrequency ablation was significantly better than CO2 laser ablation in postoperative mucosal recovery (

OR
=
5.49

, 95% CI (2.36, 10.18),

P
<
0.01

). Conclusion. Low temperature plasma radiofrequency ablation is superior to CO2 laser surgery in the treatment of early glottic laryngeal carcinoma in terms of operative time and postoperative mucosal recovery. Low-temperature plasma radiofrequency ablation, on the other hand, results in higher intraoperative blood loss, with no discernible difference in recurrence rate or postoperative pain severity between the two treatments.
Application of Mathematical Modeling in Cost Control of Medical Equipment Procurement in Public Hospitals
Authors: Chen Lihong
Published: July 2022

The purpose of this study is to strengthen the procurement management of public hospitals and ensure the quality of medical equipment. In this paper, combined with the procurement process of medical equipment in public hospitals, on the basis of RFID technology, a JRP model of random demand for medical equipment procurement in public hospitals is established. At the same time, according to the type and quantity of decision variables, the DE solution algorithm is redesigned, and based on the support of the algorithm, a mathematical model for cost control of medical equipment procurement in public hospitals is established. It can be seen from the analysis results that the cost control system for medical equipment procurement in public hospitals based on the mathematical model proposed in this paper can play an important role in public hospital equipment procurement and promote the standardized operation of public hospital procurement management.
Application of Motion Video Analysis System Based on SISA Neural Network in Sports Training
Authors: Ge Shishun , Zhu Chunhong
Published: July 2022

This paper proposes the study of motion video image classification and recognition, extracts the motion target image features, designs the image classification process, and establishes the neural network image classification model to complete the image recognition. In view of the different angles of the same element, the motion video image classification and recognition under the neural network are completed by using the error back-propagation algorithm. The performance of the proposed method is verified by simulation experiments. Experimental results show that the proposed method has a high recognition rate of moving video images, the accuracy rate is more than 98%, and the image recognition classification is comprehensive. The proposed method can classify the elements in the motion video image, which solves the technical problem that the traditional method cannot identify unclear images and has low recognition accuracy.
Correlation Analysis between Sports and Antiaging Based on Medical Big Data
Authors: Yang Ying
Published: July 2022

With the aging of the population in China and even in the world becoming more and more serious, China has become the country with the largest proportion of the elderly population, and a series of social problems such as health and medical care brought about by aging are being actively responded by policies. Aging has also become a natural law that human beings cannot break free from. Although exercise cannot reverse the aging process, it can weaken the adverse effects caused by aging. Having good physical quality, keeping a happy mood, comfortable living environment, and friendly social relations are the secret recipe for prolonging life and resisting cell aging. On the contrary, if physical and mental exhaustion, various chronic diseases, negative life events, bad living environment, and social relations will seriously affect human life and quality of life. Sports promote the metabolism of the whole body. Exercise can stabilize blood sugar, avoid cardiovascular diseases, and even get a good mood. At the cellular level, exercise facilitates the transmission and absorption of nutrients, thus making tissues healthier to cope with the stress of daily life. According to the statistics of loving sports and not loving sports through medical big data, the physical fitness and cell health of the elderly who love exercise every day are better than those who do not love sports. Sports are controlled by the central nervous system, and there is a correlation between changes in motor ability and cognitive impairment. Aging is accompanied by the deterioration of skeletal muscle quality and strength, which is mainly due to the rapid degradation and slow synthesis of protein in skeletal muscle. Therefore, exercise is one of the most effective ways to delay the aging of muscles and bones. According to the great potential value of medical big data, this paper analyzes and explains the correlation between sports and antiaging.
Electrical Line Fault Detection and Line Cut-Off Equipment and Control
Authors: Fu Yakun
Published: July 2022

In order to locate the leakage fault location of low-voltage electrical lines, cut off the power supply of electrical lines, and ensure the safety and reliability of the power supply network, this paper proposes an electrical line leakage fault detection system based on a signal trigger. Based on the research on the current leakage protection system of low-voltage electrical lines, the author puts forward that the leakage current of the selected test analog trigger signal is not less than twice the maximum value of the normal leakage current of electrical lines and equipment with STC15F2K60S2 single-chip microcomputer as the control core. The experimental results show that 30 mA is preferred for the sensitivity of the leakage fault test signal. When the rated leakage action current is equal to or less than 30 mA, the protection action time is required to be less than 0.1 s, and when the rated leakage action current is greater than 30 mA, it is required to be less than 0.2 S. The device is a supplement to the traditional leakage protection device. According to the comparison between the indirect leakage detection and direct leakage detection results and the actual leakage position distance, the error is within 10%. It is proved that the system meets the actual needs and improves the protection performance of the leakage protection system of low-voltage electrical lines.
Synergistic Effect of Polydatin and Polygonatum sibiricum Polysaccharides in Combating Atherosclerosis via Suppressing TLR4-Mediated NF-κB Activation in ApoE-Deficient Mice
Authors: Ye Genyi , Zhao Yuhao , Zhu Junfeng , Zhang Zijian , Wang Qiong , Jiang Xu , Wang Zhenxing
Published: July 2022

Objective. Atherosclerosis is a chronic inflammatory disease, which is closely related to hyperlipidemia, inflammatory responses, and oxidative stress. As natural products, polydatin (PD) and Polygonatum sibiricum polysaccharides (PSP) have remarkable pharmacological effects in anti-inflammatory, antioxidant stress, and lipid regulation. In this study, we sought to investigate whether the combination of polydatin and P. sibiricum polysaccharides play an anti-atherosclerotic role in alleviating inflammatory responses by inhibiting the toll-like receptor4 (TLR4)/myeloid differentiation factor88(MyD88)/nuclear factor-kappa B(NF-κB) signaling pathway. Methods. Thirty-two ApoE-/- mice were fed with a high-fat diet (HFD) starting at the age of 8 weeks. Mice were randomly divided into four groups; (1) model group, (2) PD (100 mg/kg) + PSP (50 mg/kg) group, (3) TAK-242 (3 mg/kg) (TLR4 inhibitor) group, (4) PD (100 mg/kg) + PSP (50 mg/kg) + TAK-242 (3 mg/kg) group. Eight age-matched wild-type C57BL/6J mice fed an ordinary diet were used as a control group. Blood lipid levels were measured with an automatic biochemical analyzer. The lipid accumulation and histopathological changes in the aorta and liver were observed by Oil Red O and hematoxylin and eosin (H&E) staining, respectively. ELISA was performed to measure the serum levels of vascular cell adhesion molecule-1 (VCAM-1) and intercellular adhesion molecule-1 (ICAM-1). Western blot analysis was performed to analyze the expression of key proteins in the TLR4/MyD88/NF-κB signaling pathway. Results. Compared with the model group, the combination of PD and PSP significantly inhibit serum lipids (low-density lipoprotein cholesterol, total cholesterol, and triglyceride) and cell adhesion molecules (VCAM-1, ICAM-1). Oil Red O staining indicated that the combination of PD and PSP decrease lipid accumulation in the aorta and liver. Moreover, H&E staining suggested that the combination of PD and PSP alleviate aortic intimal hyperplasia, inflammatory cell infiltration, and hepatic steatosis. Finally, the combination of PD and PSP inhibit the expression of TLR4, MyD88, and the phosphorylation level of NF-κB p65 protein in the aorta. Conclusions. Polydatin synergizes with P. sibiricum polysaccharides in preventing the development of atherosclerosis in ApoE–/– mice by inhibiting the TLR4/MyD88/NF-κB signaling pathway.