bluuebunny/crossref_metadata_2025 huggingface dataset:
On the study of optical soliton molecules of Manakov model and stability analysis
Authors: Younas Usman , Ren Jingli
Published: July 2022

This paper studies the dynamical behavior of Manakov model which is modeled by two-component nonlinear Schrödinger equation (NLSE). This system models the propagation of soliton flow using group velocity dispersion (GVD) and self-steeping coefficients. By the assistance of two recently developed integration tools, namely, generalized exponential rational function method (GERFM) and new extended direct algebraic method (NEDAM), the different kinds of solutions in the forms of bright, dark, combo and complex solitons are extracted. These types of solutions are quite well-known as optical soliton molecules or pulses in the literature. Moreover, the hyperbolic, exponential and trigonometric function solutions are recovered. In addition, stability analysis of the system is also discussed. A comparison is made between our results and those that are well-known, and the study concludes that the solutions we’ve reached are novel. The significance of the results is illustrated by selecting appropriate parameter values for numerical simulation and physical explanations. For the nonlinear dynamical behavior of a given system, this paper’s results can improve it and demonstrate that the applied methodology is suitable. A wide range of experts in the field of engineering models will benefit from this research, according to our opinion.
Investigating the Impact of Test Case Density and Execution Variety on Fault Localization for Novice Programs
Authors: Wang YingChun , He Lin , Chen Nannan , Zhai Qi
Published: July 2022

Programming Online Verification Exam (OE) system has been widely used in algorithm education and practice since it can automatically analyze program results (e.g., correct or incorrect) after executing the submitted programs with corresponding test cases. OE systems can provide both execution results and error information so that novice programmers can get feedback quickly. If the submitted program cannot pass all the test cases, the novice programmers will get wrong-answer feedback, and they have to find and fix the errors in the program. Automated program fault localization techniques, which can locate the errors in programs under test automatically, thus help novice programmers fix the errors quickly. However, the performance of current automated fault localization techniques is limited due to the high-density test cases in novice programs of OE system. In this paper, we analyze the impact of test case density (TCD) and execution variety on fault localization performance and propose a method to reduce TCD to improve fault localization precision for novice programs. To evaluate the performance of our method, we conduct a number of empirical studies on 1199 real fault diagnosis algorithm related novice programs, and the experimental results show that using improved test cases through our method for fault localization in OE system can enhance the precision of fault localization for novice programs. Specifically, after decreasing the test cases’ density, the improvement of fault localization accuracy ranges from 0.6% to 17.34% in terms of the Expense metric, and from the Accuracy@N metrics, the number of faulty statements that can be found increases in most cases.
High-Performance Hardware Implementation of the KATAN Lightweight Cryptographic Cipher
Authors: Al-Moselly Muntaser , Al-Haj Ali
Published: July 2022

Lightweight cryptography has been proposed recently as an attractive solution to provide security for the ever-growing number of IoT resource-constrained devices. Many of the proposed lightweight cryptographic ciphers have been implemented in software. However, for practical embedded IoT applications, hardware implementations are preferred because they have small silicon area and low-power consumption. In this paper, we present a transistor-level hardware implementation of the well-known KATAN lightweight cipher. This cipher has been chosen due to its operational simplicity and high levels of security. Moreover, the structure of the KATAN cipher lends itself naturally for transistor-level hardware implementation. The design has been implemented at the transistor level using the advanced new 28-nm CMOS technology which facilitates optimized designs for the resource-constrained IoT devices. The proposed VLSI KATAN encryption and decryption circuits have been designed and simulated using the Synopsys Custom Designer Tool using 28-nm technology, 0.9 v supply voltage and a 1 GHz clock signal. The KATAN encryption circuit has 312 GE (Gate Equivalent) without key and irregular update registers, and 1081 GE for the overall design, and the decryption circuit has 390 GE without memory registers and 6867 GE for the overall design.
A Robust, Compact and Efficient AMC-Enabled Dual-Band Antenna for Wearable Healthcare
Authors: Ejaz Asma , Shahid Humayun , Amin Yasar
Published: July 2022

This paper details an antenna design with a minuscule lateral footprint of [Formula: see text][Formula: see text]mm3. The antenna operates for the two bands of WiMAX 3.5[Formula: see text]GHz (for wireless communication standard) and industrial, scientific and medical radio (ISM) 5.8[Formula: see text]GHz (for healthcare applications). Optimization and computer-aided performance analysis of the proposed design are carried out using Computer Simulation Technology (CST) Microwave Studio. Required electromagnetic performance in close proximity to the human body is achieved by backing the primary CPW-fed antenna with a fabric-based dual-band AMC surface. Several prototypes of the formulated design are characterized experimentally to validate the computationally obtained performance parameters. The proposed AMC-integrated dual-band design readily meets directional radiation characteristics desired for off-body communication with 7.53-dB and 8.58-dB gains in the lower and upper resonance frequencies, respectively. Moreover, the antenna’s top layer consists of a semi-flexible laminate, while textile constitutes the bottom layer to maximize user comfort. Further analysis reveals a significant reduction in SAR by 16.7[Formula: see text]W/kg at the lower band and by 13.5[Formula: see text]W/kg at the upper band. The precedence of the reported structure demonstrated in the results endorses its application in robust wearable devices.
Enhancing Context-Aware Recommendation Using Hesitant Fuzzy Item Clustering by Stacked Autoencoder Based Smoothing Technique
Authors: Abinaya S. , Kavitha Devi M. K. , Sherly Alphonse A.
Published: July 2022

Context-aware recommender systems (CARS) are a key component in businesses, notably in the e-transactions domain, since they assume that reviews, ratings, demographics, and other factors may determine customer preferences. On contrary, while evaluating the sentiment underlying the reviews and the rating score, consumers’ opinion is typically conflicting. As a result, a framework that employs either a review or a rating for top-N recommendation directs to produce unsatisfied recommendations in addition to a meager rating problem and high computation time. To overcome all the problems, a novel sentiment enhanced stacked autoencoder (SSAE) with context-specific hesitant fuzzy item hierarchical clustering (CHFHC) approach is proposed which employs online and offline phases. In the offline-phase, the meager user-item rating matrix is smoothed by learning the users’ concrete preference to a complete matrix by the SSAE approach. They are clustered offline using the CHFHC approach into context-based similar item clusters. In the online-phase, the active user gets context-based recommendations from the most similar cluster that matches the active users’ current context situation. Hence the SSAE_CHFHC approach improves the quality of Top-N recommendation corresponding to the exact contextual situation of the active user with a minimal recommendation computation time. Experiments on the (5-core) Amazon and yelp datasets proved that the intended SSAE_CHFHC framework consistently outperforms state-of-the-art recommendation algorithms on a variety of evaluation measures.
3-Tuple Linguistic Distance-Based Model for a New Product go/no-go Evaluation
Authors: Suprasongsin Sirin , Yenradee Pisal , Huynh Van-Nam , Rianmora Suchada
Published: July 2022

There is a need for a probabilistic linguistic term set model for go/no-go product screening problem for new product development to meet a firm’s expectation. This paper develops a novel 3-tuple linguistic distance-based model to evaluate whether an overall respondents perception meets a firm’s expectation (“go”) for new product development. The respondent’s perception is collected by a Kansei-based survey as an interval-linguistic term. Then, an expected distance between the firm’s expectation and the respondent’s perception is computed by a target-based Manhattan distance measure. The expected distance is compared with a threshold to shows that what product attribute meets the firm’s expectation based on customers’ perceptions. A real case study of Thai-tea soy milk packaging design is provided. The proposed model is compared to the existing model to show its effectiveness and applicability. Experimental results show that the proposed model can effectively point out the inferior product attributes, which leads to redesign the product until all product concepts meet the target attributes before launching the product to the market. Thus, it can significantly reduce the risk of failure of the product in a real market. This paper has significant contributions in that it allows respondents to provide their opinions with uncertainty by providing an interval linguistic assessment, handles a bias of the heterogeneity of respondents by determining the weight of respondents, and overcomes limitations of existing models by applying target-oriented linguistic terms.
SentiWordNet Ontology and Deep Neural Network Based Collaborative Filtering Technique for Course Recommendation in an E-Learning Platform
Authors: Vedavathi N. , Anil Kumar K. M.
Published: July 2022

The expansion of the population that wants to learn online is growing due to several e-learning platforms, which help innovate and suggest courses to learners. Several techniques are devised for determining optimal courses for the learner. In recent days, researchers began to utilize recommendation systems in e-learning. This paper devises a novel technique for course recommendation to students in an e-learning platform, which helps learners select the best course. Here, the Butterfly Weed Optimization (BWO) is newly devised by combining Invasive Weed Optimization (IWO) and Butterfly Optimization Algorithm (BOA). At first, the process is performed by inputting the data to the Course subscription matrix for constructing the matrix based on learner interest and courses. Here, course grouping is performed using Interval type-2 Fuzzy Local Enhancement Based Rough K-means Clustering. Furthermore, the course is matched with input data based on entropy and angular distance. Finally, the sentiment classification is performed using the Ontology-based approach SentiWordNet and Deep Neural Network (DNN). Here, the DNN is trained with the proposed BWO algorithm, and thus the course recommendation is attained by offering a suitable course recommendation to learners.
A New Fault Diagnosis Method for Quality Control of Electromagnet Based on T–S Fault Tree and Grey Relation
Authors: pang Jihong , Dai Jinkun , Zhou Hongyong , Li Yong
Published: July 2022

Product fault diagnosis has been a focus of research in the field of quality control. Many studies have been made to ensure the accuracy of fault diagnosis in electromagnet quality control direction. However, in the pursuit of perfect identification method, the fault diagnosis process is extremely complex in quality control management. A new fault diagnosis method for quality control of electromagnet machining processes based on [Formula: see text]–[Formula: see text] fault tree and grey relation degree analysis is proposed in this paper. First, [Formula: see text]–[Formula: see text] fault tree is used to analyze and describe the dynamic fault relationship of the electromagnet machining processes. In order to make the fault mode more intuitive and specific, [Formula: see text]–[Formula: see text] fault tree logic diagram is used to describe the actual fault form of machining processes. Second, according to the fault output algorithm of [Formula: see text]–[Formula: see text] fault tree, the fault rate of basic event in each cycle is calculated and the fault rate of intermediate event and top event in each cycle is obtained. Then, the grey relation method is applied to calculate the relation between the basic event and the trend of top event failure rates in electromagnet machining processes. Based on the obtained relation degree, the faulty system of electromagnet machining processes can be repaired pertinently and achieve the purpose of quality control. Finally, an example of electromagnet quality control’s fault diagnosis is used to verify the objectivity and simplicity of the new method.
Algorithm for Computing the System Signatures of Linear and Circular Connected-(1,2)-or-(2,1)-out-of-(m,n):F Lattice Systems
Authors: Nakamura Taishin , Yamamoto Hisashi
Published: July 2022

This study focuses on developing an algorithm to compute the system signatures of linear and circular connected-[Formula: see text]-or-[Formula: see text]-out-of-[Formula: see text]:F lattice systems. In reliability engineering, system signatures have diverse theoretical applications, such as conducting stochastic comparisons of certain systems, deriving mean time to failure, and providing optimal maintenance policy. However, the complexity involved in computing the system signature increases with the increase in the number of components, making the aforementioned applications challenging. Moreover, the computation of system signatures for connected-[Formula: see text]-or-[Formula: see text]-out-of-[Formula: see text]:F lattice systems has not been sufficiently discussed. Thus, this study proposes an algorithm for computing the system signatures of both linear and circular connected-[Formula: see text]-or-[Formula: see text]-out-of-[Formula: see text]:F lattice systems. Numerical experiments were conducted to investigate the efficiency and it was determined that the proposed algorithm can generate system signatures that the enumerative method cannot obtain. Consequently, the proposed algorithm will contribute to various applications.
THE FLAG TECHNIQUE: PEDICLED FROZEN AUTOGRAFT RECONSTRUCTION FOR SHOULDER GIRDLE SARCOMAS-A REPORT OF THREE CASES
Authors: Chan Lester Wai Mon , Moorthy Vikaesh , Kunnasegaran Remesh , Khong Kok Sun , Cheng Mathew Hern Wang
Published: July 2022

Reconstruction of extra-articular shoulder resections is challenging. We present a novel method using the patient’s own pedicled proximal humerus and scapula, sterilized with liquid nitrogen cryoablation and recycled as an autograft. The technique was used for three patients with malignant tumors. We present the surgical technique and clinical outcomes. All patients had high-grade sarcomas of the proximal humerus requiring extra-articular resection. At surgery, the tumor-bearing shoulder girdle was exteriorized with wide margins and pedicled on the humerus via a medial scapula and clavicular osteotomy. The pedicled shoulder was then frozen in liquid nitrogen, the extraosseous tumor mass and non-viable muscle were removed and the residual shoulder girdle was re-implanted. Average follow up was 4.5 years. At the time of writing, all patients are alive without disease and have retained their original reconstructions. Scapulothoracic and elbow movements were preserved with stiff glenohumeral joints. One patient experienced an implant complication requiring surgery to remove a migrated Kirschner wire and to mesh reinforce the glenohumeral capsule. The flag technique is a reliable, low cost reconstructive option for extensive sarcomas of the shoulder girdle. A stiff glenohumeral joint with preserved scapulothoracic motion may be expected post-surgery.
Parrondo’s Paradox for Discrete-Time Quantum Walks in Momentum Space
Authors: Trautmann Georg , Groiseau Caspar , Wimberger Sandro
Published: July 2022

We investigate the possibility of implementing a sequence of quantum walks whose probability distributions give an overall positive winning probability, while it is negative for the single walks (Parrondo’s paradox). In particular, we have in mind an experimental realization with a Bose–Einstein condensate in which the walker’s space is momentum space. Experimental problems in the precise implementation of the coin operations for our discrete-time quantum walks are analyzed in detail. We study time-dependent phase fluctuations of the coins as well as perturbations arising from the finite momentum width of the condensate. We confirm the visibility of Parrondo’s paradox for experimentally available time scales of up to a few hundred steps of the walk.
Regular and unit-regular elements in various monoids of transformations
Authors: Sarkar Mosarof , Singh Shubh N.
Published: July 2022

Let [Formula: see text] be the full transformation monoid on a nonempty set [Formula: see text]. An element [Formula: see text] of [Formula: see text] is said to be semi-balanced if the collapse of [Formula: see text] is equal to the defect of [Formula: see text]. In this paper, we prove that an element of [Formula: see text] is unit-regular if and only if it is semi-balanced. For a partition [Formula: see text] of [Formula: see text], we characterize unit-regular elements in the monoid [Formula: see text] under composition. We characterize regular elements in the submonoids [Formula: see text] and [Formula: see text] of [Formula: see text], where [Formula: see text] is the equivalence induced by [Formula: see text]. We also characterize unit-regular elements in [Formula: see text], [Formula: see text], and the other two known submonoids of [Formula: see text].
Analysis of a Hybrid Numerical Scheme for Singularly Perturbed Convection-Diffusion Type Delay Problems
Authors: Sharma Amit , Rai Pratima
Published: July 2022

In this paper, a class of singularly perturbed delay differential equations of convection-diffusion (C–D) type is considered. The solutions for these problems exhibit boundary as well as interior layer due to the presence of delay. A few a priori estimates are given on the exact solution and its derivatives. We propose a numerical technique consisting of hybrid finite difference scheme on a Shishkin-type mesh. The proposed technique is analyzed for its consistency, stability and convergence. To show the effectiveness of the present approach, we conduct some numerical experiments. An almost second-order [Formula: see text]-uniform convergence is established.
Linear stability of Bardeen anti-de Sitter thin-shell wormhole in f(R) gravity
Authors: Godani Nisha
Published: July 2022

In this paper, the construction of thin-shell wormholes is crafted from two Bardeen anti-de Sitter black holes by using the cut and paste approach in the f(R) theory of gravity. The [Formula: see text] gravity model is considered to obtain the wormhole solutions. The stability is checked for linear perturbation around some static solution. The concavity nature of the potential function is examined by variation of charge, cosmological constant and other parameters involved in the model.
Wave Propagation in Smart Sandwich Plates with Functionally Graded Nanocomposite Porous Core and Piezoelectric Layers in Multi-Physics Environment
Authors: Gao Wenliang , Liu Yunfei , Qin Zhaoye , Chu Fulei
Published: July 2022

This research provides a mathematical model and solution for investigating wave propagation in graphene platelets (GPLs)-reinforced functionally graded (FG) metal foam plates integrated with piezoelectric actuator and sensor layers resting on an orthotropic visco-Pasternak medium in magneto-electro-thermo environment. The FG porous nanocomposite core and the actuator piezoelectric layer are exposed to steady magnetic and electric fields, respectively. The electric potential between two piezoelectric layers is governed by a proportional-derivative controller. The Halpin–Tsai micromechanics model and the Kelvin–Voigt model are adopted to express the effective elastic modulus of the FG porous nanocomposite core and material viscoelasticity of the core and piezoelectric layers, respectively. The governing equations of smart FG porous nanocomposite plates under thermal environment are derived grounded on the refined third-order shear deformation theory. Upon the validated theoretical model, the wave velocities and frequencies in plates are obtained by solving governing equations analytically. Finally, the effects of material viscoelasticity, porosity distribution and coefficient, GPL distribution and weight fraction, the plate and GPL geometries and external environment on wave propagation characteristics are demonstrated comprehensively. This work provides guidance on tunable control of wave propagation in smart sandwich plates affected by complex external environments.
Jordan generalized left derivations in incline algebras
Authors: Assiry Abdullah
Published: July 2022

In this paper, we introduce the concept of generalized left derivations in incline algebras and give some basic properties, which will be helpful to extend some results of algebra to generalized left derivations in incline algebras. At the end, we prove under some certain conditions that a Jordan generalized left derivation in incline algebra [Formula: see text] is a generalized left derivation in [Formula: see text].
Domain structure and dielectric diffusion-relaxation characteristics of ternary Pb(In1/2Nb1/2)O3–Pb(Mg1/3Nb2/3)O3–PbTiO3 ceramics
Authors: Qi Xudong , Li Kai , Bian Lang , Sun Enwei , Zheng Limei , Zhang Rui
Published: July 2022

Relaxor-based ternary Pb([Formula: see text][Formula: see text])O3–Pb([Formula: see text][Formula: see text])O3–PbTiO3 (PIN–PMN–PT) single crystals and ceramics are promising candidates for high-performance electromechanical conversion devices. It is known that the domain structure and dielectric diffusion–relaxation characteristics are crucial to the excellent performances of relaxor ferroelectrics. In this work, we prepared the PIN–PMN–PT ceramics with various PIN/PMN proportions and systematically investigated their domain structure and dielectric diffusion–relaxation properties. The effect of PIN/PMN proportion on the domain size and dielectric diffusion–relaxation characteristics was also studied. The investigations showed that PIN–PMN–PT ceramics presented multi-type domain patterns comprising irregular island domains and regular lamellar domains. Moreover, the dependent relations of PIN/PMN proportions on the dielectric diffusion and domain size indicated that the PIN composition has a stronger lattice distortion than PMN composition; increasing the PIN proportion can enhance the dielectric diffusion and decrease the domain size. Our results could deepen the understanding of structure–property relationships of multicomponent relaxor ferroelectrics and guide the design and exploration of new high-performance ferroelectric materials.
Cross-Lingual Embeddings Using a Temporally Aligned Comparable Corpus: A Case Study For Manipuri–English
Authors: Laitonjam Lenin , Singh Sanasam Ranbir
Published: July 2022

Cross-lingual embeddings facilitate cross-language learning, bridging the gap between rich-resource and low-resource languages. This study provides and assesses unsupervised cross-lingual embeddings generation methods for the low-resource Manipuri–English language pair. Manipuri is a resource-poor language spoken in India’s northeastern regions. The embeddings are evaluated on the language pair bilingual dictionary induction task. Furthermore, we propose a method to improve the cross-lingual embeddings by exploiting a temporally aligned comparable corpus. Lack of supervision has always been an issue for learning models, especially in low-resource settings. The proposed method takes advantage of the temporal alignments and provides the much-needed supervision to improve the alignment between Manipuri and English language pair. We observe that the proposed model consistently outperforms all the corresponding baselines from various experimental results.
Why universities must resist GPA-based enrollment caps in the face of surging enrollments
Authors: Brodley Carla E.
Published: July 2022

Considering the challenges for universities to adapt their business models to changing student demands.
The Effects of Healthcare Robot Empathy Statements and Head Nodding on Trust and Satisfaction: A Video Study
Authors: Johanson Deborah , Ahn Ho Seok , Goswami Rishab , Saegusa Kazuki , Broadbent Elizabeth
Published: July 2022

Clinical empathy has been associated with many positive outcomes, including patient trust and satisfaction. Physicians can demonstrate clinical empathy through verbal statements and non-verbal behaviors, such as head nodding. The use of verbal and non-verbal empathy behaviors by healthcare robots may also positively affect patient outcomes. The current study examined whether the use of robot verbal empathy statements and head nodding during a video recorded interaction between a healthcare robot and patient improved participant trust and satisfaction. One hundred participants took part in the experiment, online through Amazon Mechanical Turk. They were randoimnized to watch one of four videos depicting an interaction with a `patient' and a Nao robot that (1) either made empathetic or neutral statements, and (2) either nodded its head when listening to the patient or did not. Results showed that the use of empathetic statements by the healthcare robot significantly increased participant perceptions of robot empathy, trust and satisfaction, and reduced robot distrust. No significant findings were revealed in relation to robot head nodding. The positive effects of empathy statements support the model of Robot-Patient Communication, which theorizes that robot use of recommended clinical empathy behaviors can improve patient outcomes. The effects of healthcare robot nodding behavior needs to be further investigated.
I Know What You Are Searching for: Code Snippet Recommendation from Stack Overflow Posts
Authors: Gao Zhipeng , Xia Xin , Lo David , Grundy John , Zhang Xindong , Xing Zhenchang
Published: July 2022

Stack Overflow has been heavily used by software developers to seek programming-related information. More and more developers use Community Question and Answer forums, such as Stack Overflow, to search for code examples of how to accomplish a certain coding task. This is often considered to be more efficient than working from source documentation, tutorials, or full worked examples. However, due to the complexity of these online Question and Answer forums and the very large volume of information they contain, developers can be overwhelmed by the sheer volume of available information. This makes it hard to find and/or even be aware of the most relevant code examples to meet their needs. To alleviate this issue, in this work, we present a query-driven code recommendation tool, named
Que2Code
, that identifies the best code snippets for a user query from Stack Overflow posts. Our approach has two main stages: (i) semantically equivalent question retrieval and (ii) best code snippet recommendation. During the first stage, for a given query question formulated by a developer, we first generate paraphrase questions for the input query as a way of query boosting and then retrieve the relevant Stack Overflow posted questions based on these generated questions. In the second stage, we collect all of the code snippets within questions retrieved in the first stage and develop a novel scheme to rank code snippet candidates from Stack Overflow posts via pairwise comparisons. To evaluate the performance of our proposed model, we conduct a large-scale experiment to evaluate the effectiveness of the semantically equivalent question retrieval task and best code snippet recommendation task separately on Python and Java datasets in Stack Overflow. We also perform a human study to measure how real-world developers perceive the results generated by our model. Both the automatic and human evaluation results demonstrate the promising performance of our model, and we have released our code and data to assist other researchers.
Design of Core Gate Silicon Nanotube RADFET with Improved Sensitivity
Authors: Venkatesh Chitikina Neeraj , Mishra Guru Prasad , Jena Biswajit
Published: July 2022

The prominent feature of Silicon nanotube MOSFET for using RADFET application is its high Ion/Ioff ratio, minimal leakage current and less sensitive to short channel effects. Due to the above features the radiation behaviour of the device is studied to check for the applicability of a RADFET. Here both uniform and non-uniform irradiation characteristics are analysed. The focus of this study is on electrical characteristics and sensitivity, which is measured as a variation of threshold voltage of radiated and unirradiated device. It was found that on irradiation, the surface potential variation is high for 40 nm channel length hence the analysis is conducted for the same. It was proven to be successful, as the device achieves high Ion/Ioff ratio of the order 1013 and a sensitivity of 2.26 mv Gy−1. The obtained results are compared with DG RADFET and JL DG RADFET and it shows that Core gate Silicon nanotube RADFET has better electrical characteristics and sensitivity. The simulations are performed in Silvaco 3 D Atlas TCAD simulation software.
Essential role of Wtip in mouse development and maintenance of the glomerular filtration barrier
Authors: Madhavan Sethu M. , Konieczkowski Martha , Bruggeman Leslie A. , DeWalt Megan , Nguyen Jane K. , O’Toole John F. , Sedor John R.
Published: July 2022

This study characterized dynamic expression patterns of Wilms’ tumor interacting protein (Wtip) and demonstrates the novel role of Wtip in murine development and maintenance of the glomerular filtration barrier.
Novel method for kinetic analysis applied to transport by the uniporter OCT2
Authors: Wright Stephen H. , Secomb Timothy W.
Published: July 2022

Here, we describe a mathematical model that uses the time course of net substrate uptake into cells from several increasing concentrations to calculate unique kinetic parameters [maximal rates of transport ( Jmax) and half-saturation constants ( Kt)] of the process. The method is the first to take into consideration the common complicating factors of unstirred layers and carrier-mediated efflux in the experimental determination of transport kinetics.
Implementation of Intelligent Decision Model of Traditional Hanfu 3D Design Based on Internet of Things
Authors: Wang Jingjing
Published: July 2022

In view of the problems existing in the design and application of traditional Hanfu, in order to better promote the application prospect of the Internet of Things in traditional Hanfu, the adaptive estimation model is adopted to analyze the relevant algorithms. Based on the Internet of Things theory, the optimized intelligent decision model is obtained, and the relevant parameters of the model are modified so as to obtain the application of traditional Hanfu in 3D simulation design based on the Internet of Things theory. Finally, the optimized model is used to predict and analyze the design and application of traditional Hanfu. The results show that the value of the Internet of Things in 2021 is 880, an increase of about 8.6 times compared with 102 in 2011, indicating that the industry shows a strong growth trend. In addition, the growth rate of the Internet of Things from 2018 to 2021 is low, indicating that the output value of the Internet of Things in this stage is relatively stable, and it also reflects from the side that the Internet of Things has entered a stable growth period. With the increase in the number of iterations, the corresponding curves of the two original trust degrees show little change, and the original trust degree curves are mainly divided into the stage of slow rise and the stage of steady increase. The influence of the optimization model on the willingness to trust is obvious, showing varying degrees of increase. Different calculation methods describe the test data differently. The mathematical estimation method shows an approximate linear trend. The result estimation method shows the change in the quadratic function. The key decision rules have the characteristic of subsection. Data method has strong fluctuation in the early stage. Objective function method can better describe the characteristics of traditional Hanfu. This study realizes the design and application of traditional Hanfu in the field of 3D simulation based on the Internet of Things theory so as to provide a theoretical basis for the application and research of the Internet of Things in other fields.
[Retracted] Use of Composite Acellular Dermal Matrix‐Ultrathin Split‐Thickness Skin in Hand Hot‐Crush Injuries: A One‐Step Grafting Procedure
Authors: Fan Youfen , Pan Yanyan , Chen Cui , Cui Shengyong , Li Jiliang , Jin Guoying , Huang Neng , Xu Sida
Published: July 2022

Background. Hot‐crush injuries to the hands can be devastating, and early debridement and coverage with skin autograft remains the golden standard of wound treatment. However, this type of treatment is not feasible or unlikely to succeed due to limited donor sites and wound characteristics of hot‐crush injuries on hands. Thus, the composite grafting of acellular dermal matrix (ADM) and split‐thickness skin graft (STSG) as a novel alternative method has been attempted. In this series, the results are presented to demonstrate the feasibility and effectiveness of the use of one‐stage procedure for early reconstruction in hand hot‐crush injuries. Methods. All consecutive patients with hand hot‐crush injuries, who underwent one‐stage procedure of ADM and ultrathin STSG for soft tissue coverage at our institution from December 2018 to November 2019, were retrospectively analyzed. Wound dressings were opened on 7 days after operation to examine graft survival and complications. Patients were followed up for at least 9 months to evaluate their hand profiles. Results. Samples of 14 patients with a total of 23 wounds were involved in the study. Thirteen of the 23 third–fourth‐degree wounds had varying degrees of tendon exposure. On 7 days postoperation, the composite grafts survived in 12 patients with minimal focal graft losses and liquefaction and necrosis in 2 patients, which achieved successful healing following new coverage of ultrathin STSG. All the wounds healed with hospital stays ranging from 9 days to 32 days (median: 24.5 days). At the final follow‐up (from 9 months to 20 months), all patients achieved excellent or good total active motion grade and good scar quality (Vancouver scar scale scored 1–3) with no revision surgery. Conclusions. One‐stage composite grafting of ADM and ultrathin STSG is a reliable alternative for early reconstruction in hand hot‐crush injuries, which delivers good functional outcomes and a good cosmetic appearance.
Design of 3D Display System for Intangible Cultural Heritage Based on Generative Adversarial Network
Authors: Wang Jiachun , Song Junkui , Zhang Yizhe , Chen Hao
Published: July 2022

This paper designs a three-dimensional display system for intangible cultural heritage based on generative adversarial networks. The system function is realized through four modules: input module, data processing module, 3D model generation module, and model output module. Two 3D model reconstruction methods are used to realize the transformation from 2D images to 3D models. In the low-resolution Nuo surface 3D construction, multiresidual dense blocks are introduced and applied to the deep image super-resolution network. The experimental comparison results show that the quadratic optimization multifusion 3D construction model proposed in this paper can achieve considerable improvement and can improve the reconstruction accuracy by about 6.3%. In the high-resolution 3D construction of the Nuo surface, a generative adversarial network model is used to improve the generator, discriminator, and loss function of the original SRGAN model. Experimental results show that this method can generate super-resolution images with more realistic and natural depth maps. In addition, when it is used for high-resolution 3D Nuo surface sculpting, it can also generate 3D voxel Nuo surfaces with more details.
Design of Innovation and Entrepreneurship Education Ecosystem in Universities Based on User Experience
Authors: Sheng Dan , Wang Yulong
Published: July 2022

The conventional college innovation and entrepreneurship education ecosystem is not considered to be designed for low energy consumption, and there is confusion in function switching, which leads to a large value of packet loss rate in system transmission. In this paper, we analyze the construction of college innovation and entrepreneurship education ecosystem and construct the scientific ecosystem of college innovation and entrepreneurship education based on user experience so as to realize college. At the same time, it takes into account the principle of green and low energy consumption of system hardware and software design, in which the hardware part selects S3C6410 RISC microcontroller as the core component to build the structure of educational ecological controller, connects a 16 bit buffer in parallel outside the controller, uses the buffer as the actual conversion port, specifies the function switching bearing interface, uses a protocol conversion chip, and designs the data acquisition circuit structure. The software part builds a model of user experience elements, sets to get an ecological interaction interface under the interoperability between the model and information data, and uses JAVA programming to realize functional modules according to the deviation of educational information shown by users. The experimental results show that the educational ecosystem designed in this paper has high data throughput, high fault tolerance, and low packet loss rate and system energy consumption, which verifies the effectiveness of the system.
Optimization of CO2 Concentration on Mortality of Various Stages of Callosobruchus maculatus and Development of Controlled Atmosphere Storage Structure for Black Gram Grains
Authors: Shankar V. Siva , Velmurugan G. , Kaliappan S. , Baskara Sethupathy S. , Sekar S. , Patil Pravin P. , Anitha G. , Kailo Geremew Geidare
Published: July 2022

Pulse beetle ( Callosobruchus maculatus) is a common weevil that is responsible for up to 24% of stored pulse losses. Using black gram grain storage, the efficiency of carbon dioxide gas against all life stages of Callosobruchus maculatus insects was tested at various concentrations and exposure times. The trials were carried out in pilot bins with a capacity of 25 kg. At a CO2 concentration of 50%, complete mortality of the egg stage of Callosobruchus maculatus was attained after 72 h of continuous exposure. At a CO2 concentration of 60% for 48 h, 100% larva mortality was achieved. At the most tolerant stage of pupa, recorded complete mortality is at a CO2 concentration of 70% for 96 hours of the exposure period. Adult insects are especially vulnerable to the high CO2 concentration. Adult mortality was achieved at a concentration of 20% with an exposure period of 48 h. The CO2-treated black grams were then stored for three months with the optimized CO2 concentration and exposure period, while physiochemical parameters such as water retention capacity and physiological loss in weight were determined. Grain stored in the silo showing significant 100% mortality of egg was measured after 20-25 days of observation. The use of a controlled atmosphere storage bin increased the mortality of the insect C. maculatus at all developmental stages, by means of increasing CO2 concentration and exposure time. Grain stored in a controlled atmosphere silo showed minimum losses of grain (4.10%) compared to the gunny bag storage (22.56%).
Expression of MUS81 Mediates the Sensitivity of Castration-Resistant Prostate Cancer to Olaparib
Authors: Gong Lifeng , Tang Yu , Jiang Li , Tang Wei , Luo Shengjun
Published: July 2022

This project attempts to clarify the expression of MUS81 in castration-resistant prostate cancer (CRPC) and the effect on drug sensitivity to Olaparib. We collected clinical surgical samples of patients who were suffering from benign prostatic hyperplasia (BPH), common prostate cancer (PCa), and castration-resistant prostate cancer (CRPC) and detected the expression of MUS81 in healthy prostate epithelial cells, PCa cells, and androgen-independent PCa cells. We subsequently performed CCK-8 assays, flow cytometry, and Transwell invasion and migration assay to determine the proliferation, apoptosis, invasion, and metastasis abilities of transfected CRPC cells as well as drug toxicity of Olaparib to CRPC cells. The expression of MUS81 indicated marked upregulation in PCa and CRPC tissues, compared with the level of MUS81 in BPH tissues. MUS81 silencing inhibited the proliferation of CRPC cells and promoted their sensitivity to Olaparib. MUS81 silencing in CRPC cells remarkably accelerated cell apoptosis and greatly inhibited cell invasion and metastasis after Olaparib administration. MUS81 silencing in CRPC cells has significantly enhanced the sensitivity of cells to Olaparib, which provides evidence for the prediction of Olaparib resistance in CRPC cells by the MUS81 gene and is expected to become a promising gene target in CRPC therapy.
Cyclin-Dependent Kinase 1 Inhibition Potentiates the Proliferation of Tonsil-Derived Mesenchymal Stem Cells by Delaying Cellular Senescence
Authors: Choi Da Hyeon , Lee Kyeong Eun , Park Yoon Shin
Published: July 2022

Mesenchymal stem cells (MSCs) have been widely used in tissue regeneration and stem cell therapy and are currently being tested in numerous clinical trials. Senescence-related changes in MSC properties have attracted considerable attention. Senescent MSCs exhibit a compromised potential for proliferation; senescence acts as a stress response that prevents the proliferation of dysfunctional cells by inducing an irreversible cell cycle arrest. Here, we established a senescent MSC model using senescence-associated β-galactosidase, proliferation, and cell cycle assays. We further identified novel biomarker candidates for old, senescent tonsil-derived MSCs (TMSCs) using transcriptomics. A plot of the cellular senescence pathway showed cyclin-dependent kinase 1 (CDK1; +8-fold) and CDK2 (+2-fold), and transforming growth factor beta 2 (TGFB2; +2-fold) showed significantly higher expression in old TMSCs than in young TMSCs. The CDK family was shown to be related to cell cycle and proliferation, as confirmed by quantitative RT-PCR. As replicative senescence of TMSCs, the gene and protein expression of CDK1 was significantly increased, which was further validated by inhibiting CDK1 using an inhibitor and siRNA. Taken together, we suggest that the CDK1 can be used as a selective senescence biomarker of MSCs and broaden the research criteria for senescent mechanisms.
Shape Invariance of Solvable Schrödinger Equations with the Generalized Hyperbolic Pöschl-Teller Potential
Authors: Li Min , Zhong Shi-Kun , Dong Li , Xiong Lu-Lin , Luo Guang
Published: July 2022

In atomic and molecular physics, the Pöschl-Teller potential and its modified form (hyperbolic Pöschl-Teller potential) are particularly significant potentials. It is of great importance to study the Schrödinger equation with those potentials. In this paper, we further extend the hyperbolic Pöschl-Teller potential through generalizing the superpotential of that potential of the form Atanh (αx)-Bcoth (αx) to the more general form -Atanh (npx)-Bcoth (mpx). First, we introduce briefly the shape invariance and the potential algebra in supersymmetric quantum mechanics. Second, we derive three additive shape invariances, which are related to parameters

A
 

and

B

of the partner potentials with the generalized superpotential, and discuss the eigenfunctions and eigenvalues in detail. Although the superpotential has two parameters, those shape invariances still belong to the one-parameter form. The reason is that there is always a constraint relationship between

A

and

B

in the additive shape invariance of the partner potentials. Third, through the potential algebra approach, we obtain the relevant shape invariance and calculate the corresponding eigenvalue of the Schrödinger equation with the potential of the generalized superpotential. The calculation shows that the algebraic form shape invariance of the partner potentials with that superpotential is anastomotic to the above. Last, we make a summary and outlook.
An AHP-ME-Based Vehicle Crash Prediction Model considering Driver Intention and Real-Time Traffic/Road Condition
Authors: Wei Ran , Chen Song , Zhang Saifei , Zhang Jiaqi , Ding Rujun , Mi Jiang
Published: July 2022

Although numerous studies have attempted to use vehicle motion data for real-time vehicle crash prediction, many driver behavior and road/environment factors (e.g., driving intention and pavement condition) have not been considered. In order to cope with increased complexity and extent crash risk assessment with the consideration of factors like driving intention and pavement condition, this paper (a) combines driver intention, vehicle motion, and dynamic traffic environment into the assessment of the conflict risk in real time, (b) establishes a hierarchical analysis model for quantitatively describing driving safety based on an Analytic Hierarchy Process (AHP), and (c) applies a Matter Element (ME) Model to take multiple factors, which are heterogeneous in terms of nature of analysis (quantitative or qualitative) and measure units, into account, and provide a comprehensive evaluation of vehicle crash risk. Finally, a set of simulation cases are used to compare the detection efficiency of the proposed method with ANN and SVM for vehicle collision. The example analysis shows that the proposed AHP-ME model can more accurately predict the collision risk of vehicles. Moreover, the proposed AHP-ME model provides an effective solution to unify multi-factors (driver intention, vehicle motion, and dynamic traffic environment) into an integrated decision-making framework.
Vegetation Coverage Monitoring Model Design Based on Deep Learning
Authors: Zhang Lilei , Wang Wenwen , Dong Yujie , Wu Longliang
Published: July 2022

Based on the medium-resolution Landsat TM and OLI satellite images in the study area, the deep learning ENVINet-5 model is adopted for vegetation coverage monitoring. By referring to the fusion image and Google Earth high-resolution satellite image, the training samples and verification samples are manually labeled, and the labels of four types of ground objects (desert, water body, cultivated land, and construction land) are made. Through the ENVI deep learning binary classification model, the labeled training samples are trained, and a large number of samples of desert, water, and cultivated land are extracted and transformed into corresponding label images. Then, a large number of training sample labels extracted from the model are combined with the manually made construction land sample labels and both of them are used as the training samples of the ENVI deep learning multiclassification model. According to the classification process of the deep learning model (creating label image, initializing training model, and training model and model classification), through the adjustment of various parameters, the four types of ground objects in the study area are finally classified. Finally, the classification results that meet the accuracy requirements are statistically analyzed. It is proved that the model classification results can meet the use requirements.