bluuebunny/crossref_metadata_2025 huggingface dataset:
Macroscopic versus microscopic models in predicting α-decay half-lives of actinide nuclei
Authors: Sridhara G. R. , Manjunatha H. C. , Munirathnam R. , Sowmya N. , Ramalingam H. B.
Published: March 2022

This paper investigates the predictive power of the macroscopic and microscopic models in alpha-decay of actinide nuclei. Macroscopic theoretical models such as Coulomb and Proximity potential model (CPPM), Modified generalized liquid drop model (MGLDM) and Effective liquid drop model (ELDM) are applied in predicting the alpha-decay half-lives of actinide nuclei. The half-lives produced by these macroscopic models are compared with that of microscopic models such as Cluster model with two-potential approach (CM), Microscopic cluster model (MCM), Multichannel cluster model (MCCM) and that of experiments. The deviation of these models with the experiments is quantified using statistical treatment such as root mean square deviation [Formula: see text] (RMSD), mean deviation ([Formula: see text]), index [Formula: see text] and root mean square error (RMSE). It is found that among the microscopic and macroscopic models, ELDM and MCCM are, respectively, found to be accurate than that of other models. The microscopic model MCCM produces alpha-decay half-lives close to the experiments in the actinide region. The appropriate mass excess values have been identified to predict the exact alpha-decay half-lives in the actinide region.
Wind Loads on Solar Panels Mounted on Facade of High-Rise Residential Building
Authors: Li Shouke , Xiao Feipeng , Li Shouying , Hui Yi , Yang Qingshan , Li Bixiong , Chen Yuankun , Zhou Shuai , Liu Min
Published: March 2022

Wind effects on solar panels mounted on façade of high-rise residential building are studied through wind tunnel test. The model with scale ratio of 1:80 is adopted. Results show that the top floor panel is dominated by the upward negative wind load, and the panel at the mid height floor suffers the downward positive wind load, when the panels are mounted on the windward face. The influence of different inclination angles on force coefficient of the panel is also studied. It is found that positive peak force coefficient increases with the increase of panel’s inclination angle, most unfavorable extreme wind suction decreases with increase of panel’s inclination angle. Results show that the location of panels has significant effect on the design wind load. The peak force coefficient values of [Formula: see text] and [Formula: see text] can be used as the recommended values for design wind coefficients of the top floor panels. Peak force coefficient values of [Formula: see text] and [Formula: see text] can be used as the recommended values for design wind coefficients of the mid floor panels. The correlations between wind loads on different panels are also examined to check the flow mechanism around the panel. Different trends can be clearly checked from the results for different incident wind directions, suggesting the complex flow condition near panels. The greater the panel inclination is, the higher the correlation of net force coefficient between two adjacent panels is.
An Engel condition with two generalized derivations on Lie ideals of prime rings
Authors: Liu Cheng-Kai
Published: March 2022

Let [Formula: see text] be a prime ring, let [Formula: see text] be a noncentral Lie ideal of [Formula: see text] and let [Formula: see text] be two generalized derivations of [Formula: see text]. In this paper, we characterize the structure of [Formula: see text] and all possible forms of [Formula: see text] and [Formula: see text] such that [Formula: see text] for all [Formula: see text], where [Formula: see text] are fixed positive integers. With this, several known results can be either deduced or generalized. In particular, we give a Lie ideal version of the theorem obtained by Lee and Zhou in [An identity with generalized derivations, J. Algebra Appl. 8 (2009) 307–317] and describe a more complete version of the theorem recently obtained by Dhara and De Filippis in [Engel conditions of generalized derivations on left ideals and Lie ideals in prime rings, Comm. Algebra 48 (2020) 154–167].
Quasi-derivations of Lie–Yamaguti algebras
Authors: Lin Jie , Chen Liangyun
Published: March 2022

The concepts of derivation and centroid for Lie–Yamaguti algebras are generalized in this paper. A quasi-derivation of a LY-algebra can be embedded as a derivation in a larger LY-algebra. The relationship between quasi-derivations and robustness of Lie–Yamaguti algebras has been studied.
A Novel Parameters’ Identification Procedure for Aortic Walls Based on Hybrid Artificial Intelligence Approaches
Authors: Yang Li , Jianbing Sang , Xinyu Wei , Zhengjia Shi , Kexin Shao
Published: March 2022

It is of great significance to have research on the deformation characteristics and stress distribution of aortic wall. Reliable prediction of constitutive parameters requires an inverse process, which possesses challenges. This work proposes an inverse procedure to identify the constitutive parameters of aortic walls, which integrates nonlinear finite element method (FEM), random forest (RF) model and hybrid Random Search (RS) and Grid Search (GS) algorithm. FEM models are first established to simulate nonlinear deformation of aortic walls subjected to uniaxial tension tests. A dataset of nonlinear relationship between the engineering stress and main stretch of aortic walls is created using FEM models and the nonlinear relationship is learned through RF model. The hybrid RS&GS algorithms are used to adjust the major hyperparameters in RF. Then the optimized RF is utilized to predict constitutive parameters of aortic walls with the help of uniaxial tension tests. The prediction results show that the RF optimized by hybrid RS&GS (RF-RS&GS) approach is an effective and accurate approach to identify the constitutive parameters of aortic walls. The present RF-RS&GS model can be further extended for the predictions of constitutive parameters of other types of nonlinear soft materials. Additionally, the relative importance of constitutive parameters of aortic walls in Gasser–Ogden–Holzapfel (GOH) strain energy function is investigated. It is found that the parameters [Formula: see text] and [Formula: see text]in GOH are most intensive to the engineering stress of aortic walls.
Incident waves at the surface of micropolar porous materials
Authors: Lianngenga R. , Lalvohbika J. , Singh S. S.
Published: March 2022

The problems of elastic wave propagation in the micropolar porous materials have been attempted under the interaction of micro-rotation tensor and porous distribution in this material. We obtain the existence of three coupled longitudinal and two coupled shear waves propagating with different phase speeds. Numerically, the phase speed and attenuation of five basic waves are computed. We consider the incident plane waves at the boundary of micropolar porous materials, then the dispersive nature of the incident waves is studied and the existence of critical angle for the incident shear wave is found. The amplitude and energy ratios of various reflected waves for the incident coupled longitudinal and shear waves are obtained analytically and numerically. Further, the influence of different material parameters is studied using dispersion relation and the relevant numerical values.
Automatic Stream Identification to Improve Flash Endurance in Data Centers
Authors: Bhimani Janki , Yang Zhengyu , Yang Jingpei , Maruf Adnan , Mi Ningfang , Pandurangan Rajinikanth , Choi Changho , Balakrishnan Vijay
Published: March 2022

The demand for high performance I/O in Storage-as-a-Service (SaaS) is increasing day by day. To address this demand, NAND Flash-based Solid-state Drives (SSDs) are commonly used in data centers as cache- or top-tiers in the storage rack ascribe to their superior performance compared to traditional hard disk drives (HDDs). Meanwhile, with the capital expenditure of SSDs declining and the storage capacity of SSDs increasing, all-flash data centers are evolving to serve cloud services better than SSD-HDD hybrid data centers. During this transition, the biggest challenge is how to reduce the Write Amplification Factor (WAF) as well as to improve the endurance of SSD since this device has a limited program/erase cycles. A specified case is that storing data with different lifetimes (i.e., I/O streams with similar temporal fetching patterns such as reaccess frequency) in one single SSD can cause high WAF, reduce the endurance, and downgrade the performance of SSDs. Motivated by this,
multi-stream
SSDs have been developed to enable data with a different lifetime to be stored in different SSD regions. The logic behind this is to reduce the internal movement of data—when garbage collection is triggered, there are high chances of having data blocks with either all the pages being invalid or valid. However, the limitation of this technology is that the system needs to manually assign the same
streamID
to data with a similar lifetime. Unfortunately, when data arrives, it is not known how important this data is and how long this data will stay unmodified. Moreover, according to our observation, with different definitions of a lifetime (i.e., different calculation formulas based on selected features previously exhibited by data, such as sequentiality, and frequency),
streamID
identification may have varying impacts on the final WAF of multi-stream SSDs. Thus, in this article, we first develop a portable and adaptable framework to study the impacts of different workload features and their combinations on write amplification. We then propose a feature-based stream identification approach, which automatically co-relates the measurable workload attributes (such as I/O size, I/O rate, and so on.) with high-level workload features (such as frequency, sequentiality, and so on.) and determines a right combination of workload features for assigning
streamIDs
. Finally, we develop an adaptable stream assignment technique to assign
streamID
for changing workloads dynamically. Our evaluation results show that our automation approach of stream detection and separation can effectively reduce the WAF by using appropriate features for stream assignment with minimal implementation overhead.
MobilePhys
Authors: Liu Xin , Wang Yuntao , Xie Sinan , Zhang Xiaoyu , Ma Zixian , McDuff Daniel , Patel Shwetak
Published: March 2022

Camera-based contactless photoplethysmography refers to a set of popular techniques for contactless physiological measurement. The current state-of-the-art neural models are typically trained in a supervised manner using videos accompanied by gold standard physiological measurements. However, they often generalize poorly out-of-domain examples (i.e., videos that are unlike those in the training set). Personalizing models can help improve model generalizability, but many personalization techniques still require some gold standard data. To help alleviate this dependency, in this paper, we present a novel mobile sensing system called MobilePhys, the first mobile personalized remote physiological sensing system, that leverages both front and rear cameras on a smartphone to generate high-quality self-supervised labels for training personalized contactless camera-based PPG models. To evaluate the robustness of MobilePhys, we conducted a user study with 39 participants who completed a set of tasks under different mobile devices, lighting conditions/intensities, motion tasks, and skin types. Our results show that MobilePhys significantly outperforms the state-of-the-art on-device supervised training and few-shot adaptation methods. Through extensive user studies, we further examine how does MobilePhys perform in complex real-world settings. We envision that calibrated or personalized camera-based contactless PPG models generated from our proposed dual-camera mobile sensing system will open the door for numerous future applications such as smart mirrors, fitness and mobile health applications.
CornerRadar
Authors: Yue Shichao , He Hao , Cao Peng , Zha Kaiwen , Koizumi Masayuki , Katabi Dina
Published: March 2022

Unmanned robots are increasingly used around humans in factories, malls, and hotels. As they navigate our space, it is important to ensure that such robots do not collide with people who suddenly appear as they turn a corner. Today, however, there is no practical solution for localizing people around corners. Optical solutions try to track hidden people through their visible shadows on the floor or a sidewall, but they can easily fail depending on the ambient light and the environment. More recent work has considered the use of radio frequency (RF) signals to track people and vehicles around street corners. However, past RF-based proposals rely on a simplistic ray-tracing model that fails in practical indoor scenarios. This paper introduces CornerRadar, an RF-based method that provides accurate around-corner indoor localization. CornerRadar addresses the limitations of the ray-tracing model used in past work. It does so through a novel encoding of how RF signals bounce off walls and occlusions. The encoding, which we call the hint map, is then fed to a neural network along with the radio signals to localize people around corners. Empirical evaluation with people moving around corners in 56 indoor environments shows that CornerRadar achieves a median error that is 3x to 12x smaller than past RF-based solutions for localizing people around corners.
P2-Loc
Authors: Ding Yi , Jiang Dongzhe , Yang Yu , Liu Yunhuai , He Tian , Zhang Desheng
Published: March 2022

On-demand delivery is a fast developing business where gig couriers deliver online orders within a short time from merchants to customers. Couriers' accurate indoor locations play an essential role in the business. Most of the existing indoor localization methods cannot be applied in practice due to the high cost or data unavailable on off-the-shelf smartphones. This paper explores a new angle to solve the problem in a relative and infrastructure-free fashion. We design a person-to-person localization system that can (1) detect encounter events via Bluetooth on couriers' smartphones, and (2) infer couriers' relative locations to all the indoor merchants via deep learning on a graph neural network. The system is infrastructure-free, map-free, and compatible for off-the-shelf devices. We deploy the system on a real-world industry platform. The system runs on the smartphones of 4,075 couriers around 79 merchants for a month. The evaluation in a mall area shows that P2-Loc improves the mean average error compared with state-of-art infrastructure-based, report-based, and encounter-based methods. We also use an application analysis based on real-world orders and trajectory data to show that the P2-Loc can save around $40,000 for the platform every day with improved indoor localization results.
ILLOC
Authors: Guo Dongfang , Gu Chaojie , Jiang Linshan , Luo Wenjie , Tan Rui
Published: March 2022

LoRaWAN is a narrowband wireless technology for ubiquitous connectivity. For various applications, it is desirable to localize LoRaWAN devices based on their uplink frames that convey application data. This localization service operates in an unobtrusive manner, in that it requires no special software instrumentation to the LoRaWAN devices. This paper investigates the feasibility of unobtrusive localization for LoRaWAN devices in hall-size indoor spaces like warehouses, airport terminals, sports centers, museum halls, etc. We study the TDoA-based approach, which needs to address two challenges of poor timing performance of LoRaWAN narrowband signal and nanosecond-level clock synchronization among anchors. We propose the ILLOC system featuring two LoRaWAN-specific techniques: (1) the cross-correlation among the differential phase sequences received by two anchors to estimate TDoA and (2) the just-in-time synchronization enabled by a specially deployed LoRaWAN end device providing time reference upon detecting a target device's transmission. In a long tunnel corridor, a 70 x 32 m2 sports hall, and a 110 x 70 m2 indoor plaza with extensive non-line-of-sight propagation paths, ILLOC achieves median localization errors of 6 m (with 2 anchors), 8.36 m (with 6 anchors), and 15.16 m (with 6 anchors and frame fusion), respectively. The achieved accuracy makes ILLOC useful for applications including zone-level asset tracking, misplacement detection, airport trolley management, and cybersecurity enforcement like detecting impersonation attacks launched by remote radios.
Toward Proactive Support for Older Adults
Authors: Mendel Tamir , Schuster Roei , Tromer Eran , Toch Eran
Published: March 2022

Peer support is a powerful tool in improving the digital literacy of older adults. However, while existing literature investigated reactive support, this paper examines proactive support for mobile safety. To predict moments that users need support, we conducted a user study to measure the severity of mobile scenarios (n=300) and users' attitudes toward receiving support in a specific interaction around safety on a mobile device (n=150). We compared classification methods and showed that the random forest method produces better performance than other regression models. We show that user anxiety, openness to social support, self-efficacy, and security awareness are important factors to predict willingness to receive support. We also explore various age variations in the training sample on moments users need support prediction. We find that training on the youngest population produces inferior results for older adults, and training on the aging population produces poor outcomes for young adults. We illustrate that the composition of age can affect how the sample impacts model performance. We conclude the paper by discussing how our findings can be used to design feasible proactive support applications to provide support at the right moment.
Power-Law Charge Relaxation of Inhomogeneous Porous Capacitive Electrodes
Authors: Allagui Anis , Benaoum Hachemi
Published: March 2022

Porous electrodes–made of hierarchically nanostructured materials–are omnipresent in various electrochemical energy technologies from batteries and supercapacitors to sensors and electrocatalysis. Modeling the system-level macroscopic transport and relaxation in such electrodes given their complex microscopic geometric structure is important to better understand the performance of the devices in which they are used. The discharge response of capacitive porous electrodes in particular do not necessarily follow the traditional exponential decay observed with flat electrodes, which is good enough for describing the general dynamics of processes in which the rate of a dynamic quantity (such as charge) is proportional to the quantity itself. Electric double-layer capacitors (EDLCs) and other similar systems exhibit instead power law-like discharge profiles that are best described with differential Eqs. involving non-integer derivatives. Using the fractional-order integral in the Riemann-Liouville sense and superstatistics we present a treatment of the macroscopic response of such type of electrode systems starting from the mesoscopic behavior of sub-parts of it. The solutions can be in terms of the Mittag-Leffler (ML) function or a power law-like function depending on the underlying assumptions made on the physical parameters of initial charge and characteristic time response. The generalized three-parameter ML function is found to be the best suited to describe experimental results of a commercial EDLC at different timescales of discharge.
A Finite-Element Model for Underpotential Deposition of Ce(III) on an Active Aluminum Electrode in LiCl–KCl Melts
Authors: Zhang Meng , Liang Bo , Luo Junhan , He Mingjian , Wang Weibing , Yang Yang , Zhou Yu , Chen Liman , Jiao Caishan
Published: March 2022

Underpotential deposition on an active Al cathode plays an increasingly important role in pyroprocessing of used nuclear fuel, but most of the developed models are applied to simulate underpotential deposition at atomic level without considering electron transfer process which is a critical step in electrochemical reactions. In this work, a novel finite-element model for the underpotential deposition of Ce(III) in LiCl–KCl melts is developed with the consideration of Ce(III) activity in the Al electrode and the electron transfer process which is described by Butler-Volmer equation. This model was applied to investigate cyclic voltammetry(CV), square wave voltammetry(SWV) and electrodeposition behaviors of Ce(III) on an Al/Mo electrode. Additionally, the effect of temperature and electrode surface area on the electrodeposition thickness was investigated. Simulated CV and SWV curves are obtained and compared with our pervious experimental data. The results also provide the distribution diagrams of current density, electrostatic potential, Ce(III) concentration and electrodeposition thickness. Furthermore, the electrodeposition thickness is found to be linearly proportional to temperature and the inverse of cathode’s area, respectively. This work proposes a new pathway for the further study of underpotential deposition process.
Potentiometric and SERS Detection of Single Nanoparticle Collision Events on a Surface Functionalized Gold Nanoelectrode
Authors: Ghimire Govinda , Pandey Popular , Guo Jing , Sarker Golam Sabbir , Moon Joong Ho , He Jin
Published: March 2022

Single-entity electrochemistry is of fundamental importance and shows promise for ultrasensitive biosensing applications. Recently, we have demonstrated that various charged nanoparticles can be detected individually based on the non-redox open-circuit potential (OCP) changes induced by their collision events on a floating carbon nanoelectrode (CNE). Unlike the widely used amperometry approach, the potentiometric method provides the label-free detection of individual nanoscale entities without redox mediators in the solution. However, the CNE lacks specificity for molecular recognition during the collision events because of the limited methods of surface functionalization for carbon surfaces. Herein, we used surface-functionalized gold nanoelectrode (GNE) to overcome this limitation of CNE. The GNE modified with Raman reporter molecule also enabled surface-enhanced Raman spectroscopy (SERS) measurements. By using simultaneous time-resolved OCP and SERS measurements, both the OCP and SERS signals induced by the “hit-n-run” type of gold nanoparticle (GNP) collision events can be better understood. Also, by introducing a zwitterionic molecule, we formed near “stealth” surface and demonstrated that the non-specific adsorptions of GNPs to the surface of GNE have been suppressed, allowing continuous detection of hit-n-run events for over 30 min.
Cardiometabolic effects of DOCA-salt in male C57BL/6J mice are variably dependent on sodium and nonsodium components of diet
Authors: Patil Chetan N. , Ritter McKenzie L. , Wackman Kelsey K. , Oliveira Vanessa , Balapattabi Kirthikaa , Grobe Connie C. , Brozoski Daniel T. , Reho John J. , Nakagawa Pablo , Mouradian Gary C. , Kriegel Alison J. , Kwitek Anne E. , Hodges Matthew R. , Segar Jeffrey L. , Sigmund Curt D. , Grobe Justin L.
Published: March 2022

Hypertension characterized by low circulating renin activity accounts for roughly 25%–30% of primary hypertension in humans and can be modeled experimentally via deoxycorticosterone acetate (DOCA)-salt treatment. In this model, phenotypes develop in progressive phases, although the timelines and relative contributions of various mechanisms to phenotype development can be distinct between laboratories. To explore interactions among environmental influences such as diet formulation and dietary sodium (Na) content on phenotype development in the DOCA-salt paradigm, we examined an array of cardiometabolic endpoints in young adult male C57BL/6J mice during sham or DOCA-salt treatments when mice were maintained on several common, commercially available laboratory rodent “chow” diets including PicoLab 5L0D (0.39% Na), Envigo 7913 (0.31% Na), Envigo 2920x (0.15% Na), or a customized version of Envigo 2920x (0.4% Na). Energy balance (weight gain, food intake, digestive efficiency, and energy efficiency), fluid and electrolyte homeostasis (fluid intake, Na intake, fecal Na content, hydration, and fluid compartmentalization), renal functions (urine production rate, glomerular filtration rate, urine Na excretion, renal expression of renin, vasopressin receptors, aquaporin-2 and relationships among markers of vasopressin release, aquaporin-2 shedding, and urine osmolality), and blood pressure, all exhibited changes that were subject to interactions between diet and DOCA-salt. Interestingly, some of these phenotypes, including blood pressure and hydration, were dependent on nonsodium dietary components, as Na-matched diets resulted in distinct phenotype development. These findings provide a broad and robust illustration of an environment × treatment interaction that impacts the use and interpretation of a common rodent model of low-renin hypertension.
A Rumor Detection Method from Social Network Based on Deep Learning in Big Data Environment
Authors: Cen Junjie , Li Yongbo
Published: March 2022

Aiming at the lack of feature extraction ability of rumor detection methods based on the deep learning model, this study proposes a rumor detection method based on deep learning in social network big data environment. Firstly, the scheme of combining API interface and third-party crawler program is adopted to obtain Weibo rumor information from the Weibo “false Weibo information” public page, so as to obtain the Weibo dataset containing rumor information and nonrumor information. Secondly, the distributed word vector is used to encode text words, and the hierarchical Softmax and negative sampling are used to improve the training efficiency. Finally, a classification and detection model based on the combination of semantic features and statistical features is constructed, the memory function of Multi-BiLSTM is used to explore the dependency between data, and the statistical features are combined with semantic features to expand the feature space in rumor detection and describe the distribution of data in the feature space to a greater extent. Experiments show that when the word vector dimension is 300, compared with the compared literature, the accuracy of the proposed method is improved by 4.232% and 1.478%, respectively, and the F1 value of the proposed method is improved by 5.011% and 1.795%, respectively. The proposed method can better extract data features and has better rumor detection ability.
Immune Infiltrates of m5C RNA Methylation-Related LncRNAs in Uterine Corpus Endometrial Carcinoma
Authors: Gu Wen-Xiu , Chen Yan , Wang Wei
Published: March 2022

Aberrant 5-methylcytidine (m5C) modification plays an essential role in the progression of different cancers. More and more researchers are focusing on developing a lncRNA-based risk model to assess the clinical prognosis of cancer patients. However, the impact of m5C-related lncRNAs on the prognosis of patients with uterine corpus endometrial carcinoma (UCEC), as well as the immune microenvironment of UCEC, remains unclear. Here, we comprehensively analyzed the predictive value of m5C-associated lncRNAs in UCEC and their association with the tumor immune microenvironment, according to the information extracted from the TCGA-UCEC dataset. We identified a total of 32 m5C-associated lncRNAs that were significantly correlated with the prognosis of UCEC patients. Two molecular subtypes were determined by consensus clustering analysis of these 32 m5C-associated prognostic lncRNAs. Further data showed that cluster 1 was associated with poor clinical prognosis, advanced tumor grade, higher PD-L1 expression levels, higher ESTIMATEScore, and higher immuneScore, as well as the immune cell infiltration. Then, 17 m5C-associated lncRNAs with prognostic values were obtained using LASSO regression analysis. And a risk model was constructed based on these 17 lncRNAs. It was revealed that the risk model could be used as an independent factor for UCEC prognosis. In addition, patients with UCEC in the high-risk group had higher tumor grades and immune scores. The risk model based on m5C-related lncRNAs was also closely associated with infiltrating immune cells. In conclusion, our study elucidated the crucial roles of the identified m5C-related lncRNAs in the UCEC patients’ prognoses, as well as in the immune microenvironment in UCEC. The results suggest that the components of risk models based on the m5C-related lncRNAs may serve as important mediators of the immune microenvironment in UCEC.
Research on the Path of Artisan Spirit to Party Ideological Education in Colleges and Universities Based on Image Processing Technology
Authors: Wang Bo , Li Yu , Talha Muhammad
Published: March 2022

This research study aims to measure the study analysis on the path of artisan spirit related to party education related to the ideological in colleges and universities. The image processing technology research study describes that primary data related to the artisan spirit performance were gathered using different questions related to the image processing technology. The party ideological education is the dependent variable, and image processing technology includes segmentation quality factors and performance related to the image processing technology. These are considered independent variables. For measuring, the data used AMOS software and run different results related to the party ideological education in college and universities. The character design major has more significant commercial benefits and chances for growth. The investigation and analysis can confirm that the main is appropriately orientated. It maintains continual communication with companies, scheduling, increasing students’ practical competence, and also offers students internship opportunities. The overall results found that the artisan path to party ideological education significantly relates to college and universities based on the image processing technology.
Research on Optimization of Student Management Evaluation System under the Background of Big Data
Authors: Gan Yongxia , Jie Bailin
Published: March 2022

Aiming at the problem of effective management of a large number of teaching data resources, this paper puts forward an optimization method of student management evaluation system under the background of big data. Firstly, the model of student education management is constructed with big data technology, and the evaluation index of student management is standardized. Secondly, improve the student management evaluation algorithm, and optimize the student management evaluation system. Finally, the experiment proves that the optimization method of student management evaluation system under the background of big data has high practicability and fully meets the research requirements.
The Influence of Process Parameters on the Mechanical Properties of Friction Stir-Welded Dissimilar Aluminium Alloys AA2219 and AA7068
Authors: Refaai Mohamad Reda A. , Reddy R. Meenakshi , Radha A. , Christopher David
Published: March 2022

A practical solution is friction stir welding (FSW) of heterogeneous alloys in industrial applications. The welded joint’s mechanical strength has been improved by combining two different alloys (AA2219 and AA7068). The focus of this study was on friction stir-welded heterogeneous metals’ microhardness and material properties. It is possible to work with either hot or cold aluminium alloy, as it is heat treatable. Revitalizing and precipitation hardening follow the heat treatment. The welded joints’ hardness was assessed in several locations. Different joints’ tensile characteristics are compared. According to the stress-strain curve, the FSW settings’ mechanical properties were spread throughout the material flow. In terms of tool profiles, the cylindrical threaded profile is critical. One-third of the efficiency is due to it. A 195 MPa strength was reached in the cylindrical threaded pin profiled tool. In a new study, researchers discovered that cylindrical threads have faster rotary motion, transversal, and D/d speeds. The cylindrical threaded tool provided the highest tensile strength and was superior to other materials. This phase of the material characterization included measurements of tensile strength and hardness.
Scheduling and Routing of Dispatching Medical Staff to Homes Healthcare from Different Medical Centers with considering Fairness Policy
Authors: Ala Ali , Goli Alireza , Nejad Attari Mahdi Yousefi
Published: March 2022

Home healthcare, a novel type of health treatment provided at residents’ homes for specific populations (elderly, disabled), is typically less expensive, more convenient, and efficient. The purpose of this article is to offer a paradigm for scheduling medical professionals from various medical institutes. With the need for home health care likely to expand significantly, future work is critical to lowering costs and ensuring service quality. The high expense of hiring nurses and doctors in this home health system (HHS) necessitates optimization approaches. To handle choice difficulties, we present a new algorithm that generates numerous scenarios, including current nurse schedules, the new demand under discussion, and future requests generated by the system. By analyzing several real-life factors and a new algorithm that produces numerous situations involving nurses’ schedules to solve three problems, the model offered is integer number programming. The results indicate which center each nurse is dispatched from, and each nurse returns to the original routing point. Finally, average daily visits increase by roughly 20%, while daily travel times of each visit drop by 50%.
The Development Model of Shaanxi Free Trade Zone Based on Interpretive Structural Model and MATLAB Data Analysis
Authors: Li Bingjie
Published: March 2022

As an important hub of the “Belt and Road” initiative and a strategic frontier of opening to the west, the establishment of Shaanxi free trade zone plays an extremely important role in improving Shaanxi’s opening to the outside world, integrating into the overall situation of world economic development, and creating a new economic cluster. Therefore, studying the development model of Shaanxi free trade zone and exploring the best development path are research tasks to be solved at present. Shaanxi free trade zone has effectively promoted the development of local economy and trade through various institutional innovations since its establishment. Based on the current development situation of Shaanxi free trade zone, this paper analyzes the main factors influencing its development from government, free trade zone, and enterprise levels, respectively, utilizes the interpretive structural model to sort out the impact factors that promote the development of Shaanxi free trade, also constructs a systematic model for its further development by combining the interactions among the impact factors, and finally proposes countermeasures to promote the development of Shaanxi free trade zone.
Decorin Protects Retinal Pigment Epithelium Cells from Oxidative Stress and Apoptosis via AMPK-mTOR-Regulated Autophagy
Authors: Xie Xinyi , Li Duo , Cui Yuqing , Xie Tianhua , Cai Jiping , Yao Yong
Published: March 2022

Age-related macular degeneration (AMD) is the leading cause of irreversible visual loss among the elderly worldwide with unidentified pathogenesis and limited therapeutic options. Oxidative stress-induced damage to the retinal pigment epithelium (RPE) is central in the development and progression of AMD. Decorin (DCN), a small leucine-rich proteoglycan, possesses powerful antifibrotic, anti-inflammatory, and antiangiogenic properties. DCN has also been reported to serve a cytoprotective role in various cell types, but its protective effects against H2O2-induced oxidative stress and apoptosis in ARPE-19 cells remain unclear. In this study, we showed that DCN significantly attenuated the increase in cell viability loss, apoptosis rate, and reactive oxygen species (ROS) levels in ARPE-19 cells induced by H2O2. Furthermore, DCN activated the AMPK/mTOR pathway to promote autophagy while genetic inhibition of autophagy-related gene 5 (ATG5) hindered autophagic process and diminished the protective role of DCN against oxidative stress in ARPE-19 cells. Collectively, these results suggest that DCN could protect RPE cells from H2O2-induced oxidative stress and apoptosis via autophagy promotion, thus providing the therapeutic potential for AMD prevention and treatment.
Performance Optimization Method of Community Sports Facilities Configuration Based on Linear Planning Model
Authors: Tan Xuefeng , Guo Chenggen , Sun Pu , Zhang Shaojie
Published: March 2022

The conventional community sports facility allocation methods have high minimum costs, and a new community sports facility allocation performance optimization method is designed based on a linear programming model in order to reduce the performance capital investment. The standardized community sports facility allocation performance objective function is established, and a pairwise model is built to divide the feasible and optimal solutions, and the feasible solutions and their constraints are found out. Establish a community sports facility configuration performance optimization model, delineate the boundaries of the optimal solution by bifurcation, and set the feasible domain of the performance optimization model. The performance optimization algorithm is designed to improve the speed of community sports facility allocation performance optimization. In the experiment, the method is compared with data‐driven method, digital management method, and evolutionary game algorithm, which requires less capital investment in spring, autumn, and winter than digital management method and evolutionary game algorithm, and the minimum capital investment in summer is less than the other three methods. From the above experimental data, it is clear that the performance optimization method has the smallest minimum capital investment and achieves the purpose of reducing the input cost.
Translation and Cultural Adaptation into Spanish of the Engagement in Meaningful Activities Survey
Authors: Judit Fernández-Solano Ana , Antonio Merchán-Baeza Jose , Maria Rodriguez-Bailón , Aaron Eakman
Published: March 2022

Background. Participation in meaningful activities contributes to individual well-being, so it is essential to have specific evaluation tools that can assess this complex construct Objectives. To create a Spanish version (EDIAS) of the Engagement in Meaningful Activities Survey (EMAS) by following best practices in instrument translation. Methodology. The translation was made according to the Principles of Good Practice for the translation and cultural adaptation of patient-reported outcome measures. Results. The adaptation process involved a meticulous analysis of item equivalence by the expert committee and an expert on the EMAS. Also, harmonization with other translated versions and a cognitive debriefing was carried to assess comprehensibility. Conclusion. Following best practice, this study has developed the EDIAS, a tool for evaluating participation in meaningful activities adapted to the Spanish context.
Bioinformatics Method Was Used to Analyze the Highly Expressed Gene FAM83A of Breast Cancer in Young Women
Authors: Tang Yongzhe , Wang Hao , He Qi , Chen Yuanyuan , Wang Jie
Published: March 2022

Objectives. Preliminary analysis of breast cancer related to unknown functional gene FAM83A through bioinformatics knowledge to inform further experimental studies. Select high expression genes for breast cancer and use bioinformatics methods to predict the biological function of FAM83A. Methods. Genes with significant differences in expression between breast tumors and normal breast tissue libraries were selected from CGAP’s SAGE Digital Gene Expression Displayer (DGED) database. An unknown functional gene, FAM83A, which is highly expressed in breast cancer, was screened. We performed an analysis of the gene structure, subcellular localization, physicochemical properties of the encoding products, functional sites, protein structure, and functional domains. Results. Through SAGE DGED, a total of 185 genes with expression differences were found. The structure and function of FAM83A have ideal predictions, and it is generally determined that this gene encodes a nuclear protein with a nucleoprotein. The active site of PLDc and the functional domain of DUF1669 can be involved in signal transduction and gene expression regulation in tumorigenesis and metastasis. Digital gene representation of the Tumor Genome Project Data Library was used to select differentially expressed genes in breast cancer tissue and breast benign tumor tissue. Conclusion. Studies show that FAM83A is a potential research target associated with tumorigenesis and metastasis. Initial tests confirmed the expression of this gene. Lay a solid foundation for further research learning. FAM83A is a highly expressed gene in breast cancer and can serve as a target for studying molecular mechanisms in breast cancer.
Bionic Anti-Slipping Crimping Structure for Industrial Hose Assembly Inspired by Ruminant Molars
Authors: Zheng Xianghua , Cheng Cong , Yuan Wei
Published: March 2022

It is highly desirable to improve the anti-slipping stability of the crimping structure for a reliable connection. This study innovatively presents a biomimetic strategy for designing a high-performance crimping structure for industrial hose assembly based on evidence that the special infundibulum dentis structure on the occlusal surface of ruminant molars has the potential of anti-slippage and can also reduce the risk of stress concentration. Utilizing reverse engineering technology, the three-dimensional (3D) digital model of the bovine molar was built as a representative prototype, and then corresponding characteristics of the infundibulum dentis were extracted with a fitting method for the bionic design of the crimping structure. Numerical simulations and experimental results both indicate that the bionic crimping structure has high resistance to slippage of hose body compared with the traditional type, and further, the formation mechanism of bionic anti-slipping performance was discussed.
Establishment of Noninvasive Methods for the Detection of Helicobacter pylori in Mongolian Gerbils and Application of Main Laboratory Gerbil Populations in China
Authors: Zhang Xiulin , Wang Cunlong , He Yang , Xing Jin , He Yan , Huo Xueyun , Fu Rui , Lu Xuancheng , Liu Xin , Lv Jianyi , Du Xiaoyan , Chen Zhenwen , Li Changlong
Published: March 2022

Identifying Helicobacter pylori (H. pylori, Hp) infection in animals before and after artificial infection influences the subsequent experiment. We established effective and noninvasive detection methods, including the gastric fluid nested polymerase chain reaction (PCR) method and the 13C‐urea breath test, which can detect Hp before modeling Hp infection in Mongolian gerbils. We designed a gas collection equipment for gerbils. Hp nested PCR was also performed on gastric fluid, gastric mucosa, duodenal contents, and faeces of gerbils challenged with Hp. Conventional Hp detection methods, including rapid urease assay and immunohistochemistry, were compared. Moreover, we assessed the natural infection of Hp in 135 gerbils that had never been exposed to Hp artificially from the major laboratory gerbil groups in China. In 10 Hp infected gerbils, the positive detection results were 100%, 100%, 90%, and 10% in gastric fluid, gastric mucosa, duodenal contents, and faeces with nested PCR, respectively. A rapid urease test performed on gastric mucosa showed that all animals were infected with Hp. Immunohistochemical detection and bacteria culture of gastric mucosa samples that were positive by the nested PCR method also confirmed the presence of Hp. 9% (3/35) and 6% (2/31) natural infection rates were found in conventional gerbil groups from the Capital Medical University and Zhejiang Laboratory Animal Center. In conclusion, we established two noninvasive Hp detection methods that can be performed before modelingHp infection, including the gastric fluid nested PCR method and the 13C‐urea breath test.
Value of Quantitative SPECT/CT Lymphoscintigraphy in Improving Sentinel Lymph Node Biopsy in Breast Cancer
Authors: Luan Ting , Li Yongqing , Wu Qingwei , Wang Yan , Huo Zongwei , Wang Xiaohui , Xing Ligang , Sun Xiaorong
Published: March 2022

Background and Objectives. Sentinel lymph node biopsy has been widely accepted as the standard procedure to assess the axillary lymph node status in breast cancer. However, more than 70% of excised sentinel lymph nodes have been found to be healthy. It may lead to unnecessary excisions and increase the incidence of postoperative complications. The aim of this study was to investigate the value of quantitative Tc-99 m sulfur colloid SPECT/CT in avoiding excessive removal of unnecessary sentinel lymph nodes in breast cancer patients. Methods. We retrospectively enrolled breast cancer patients who underwent SPECT/CT prior to sentinel lymph node biopsy. Quantification of radiotracer uptake from SPECT/CT data was performed. A radioactivity count threshold (RSPECT) using SPECT/CT was calculated for detecting metastatic sentinel lymph nodes. To localize sentinel lymph nodes exactly, we compared the positions of sentinel lymph nodes localized using SPECT/CT with positions localized surgically using an intraoperative γ-probe. Results. 491 patients were included, with a median of 3 sentinel lymph nodes/patient detected by the γ-probe and 2 sentinel lymph nodes/patient detected by SPECT/CT. As the number of sentinel lymph nodes visualized on SPECT/CT images, the metastasis incidence of lymph nodes in the ≤2 SLNs group was significantly higher than that in the >2 SLNs group (35% vs. 15%,

P
<
0.001

). No metastasis was found in lymph nodes with RSPECT ≤ 30% in the >2 SLNs group, and thus, 30% (157/526) of SPECT/CT-identified nodes would avoid unnecessary removal. The positions of sentinel lymph nodes localized by SPECT/CT and γ-probe were identical in 42% (39/93) of patients. Conclusions. Quantitative Tc-99 m SC SPECT/CT imaging has the potential to preoperatively locate sentinel lymph nodes and intraoperatively avoid unnecessary sentinel lymph node biopsy.
The Efficacy of Adjuvant Targeted Therapy in Patients with Advanced Renal Cell Carcinoma: A Systematic Review and Meta-Analysis
Authors: Yiu Wingkeung , Chen Jie , Zhao Binglin , Zhang Weiqing , Chen Linlin , Liu Hua
Published: March 2022

Background. The aim of this systematic evaluation and meta-analysis was to analyze the efficacy and adverse effects of adjuvant targeted therapy regimens in advanced or metastatic renal cell carcinoma (RCC). Methods. Studies eligible for the efficacy of adjuvant targeted therapy regimens in advanced or metastatic RCC published before December 2021 in PubMed, Embase, Cochrane Clinical Trials Database (CENTRAL), and Web of Science were searched for (1) patients with locally advanced renal cell carcinoma (RCC) who received adjuvant postoperative targeted therapy versus those not receiving active treatment; (2) primary endpoint outcomes of disease-free survival (DFS), overall survival (OS), and adverse events (AEs); and (3) design: randomized controlled trial (RCT) as inclusion criteria. Data on DFS and OS were extracted or recalculated by meta-analysis as hazard ratios (HRs), and AEs were compared using a dominance ratio (OR). Result. This systematic evaluation will provide evidence on the effectiveness and adverse effects of adjuvant targeted therapy in patients with advanced RCC. The results of meta-analysis showed that all of the three adjuvant targeted therapeutic drugs (sorafenib, sunitinib, and pazopanib) did not benefit from the adjuvant targeted therapy for DFS and OS and even increase the incidence of AEs compared to the placebo. Conclusions. The aim of this study was to summarize data on DFS, OS, and AEs in patients with advanced RCC treated with targeted therapies. The evidence provided by this systematic evaluation and meta-analysis will help guide clinical decision-making and provide insight into the future management of patients with advanced RCC.