Identifying Brand Consistency by Product Differentiation Using CNN

This paper presents a new method of using a convolutional neural network(CNN)in machine learning to identify brand consistency by product appearance variation.In Experiment 1,we collected fifty mouse devices from the past thirty-five years from a renowned company to build a dataset consisting of product pictures with pre-defined design features of their appearance and functions.Results show that it is a challenge to distinguish periods for the subtle evolution of themouse devices with such traditionalmethods as time series analysis and principal component analysis(PCA).In Experiment 2,we applied deep learning to predict the extent to which the product appearance variation ofmouse devices of various brands.The investigation collected 6,042 images ofmouse devices and divided theminto the Early Stage and the Late Stage.Results show the highest accuracy of 81.4%with the CNNmodel,and the evaluation score of brand style consistency is 0.36,implying that the brand consistency score converted by the CNN accuracy rate is not always perfect in the real world.The relationship between product appearance variation,brand style consistency,and evaluation score is beneficial for predicting new product styles and future product style roadmaps.In addition,the CNN heat maps highlight the critical areas of design features of different styles,providing alternative clues related to the blurred boundary.The study provides insights into practical problems for designers,manufacturers,and marketers in product design.It not only contributes to the scientific understanding of design development,but also provides industry professionals with practical tools and methods to improve the design process and maintain brand consistency.Designers can use these techniques to find features that influence brand style.Then,capture these features as innovative design elements and maintain core brand values.

Simple bone cysts of the proximal humerus presented with limb length discrepancy:A case report

BACKGROUND Simple bone cysts(SBC)are benign tumor-like bone lesions typically identified in children.While SBC may lead to growth disturbances or growth arrest,such cases are uncommon.The mechanisms behind these observations remain unclear.Additionally,research on the etiology of SBC remains inconclusive,and there has been no consensus on the appropriate timing and methodology for treatment.CASE SUMMARY Here,we present our experience in the successful surgical management of a 10-year-old girl with SBC,who presented with a pathological fracture complicated by malunion of the displaced fracture,varus deformity,and limb length discrepancy.We hypothesized two possible etiologies for the patient’s growth arrest and subsequent humerus varus deformity:(1)Direct disruption of the physis by fluid from the cyst itself;and(2)damage to the epiphysis due to repetitive pathological fractures associated with SBC.In addressing this case,surgical intervention was undertaken to correct the proximal humerus varus deformity.This approach offered the advantages of simultaneously correcting angular abnormalities,achieving mild limb lengthening,providing definitive SBC treatment,and reducing the overall treatment duration.CONCLUSION As per current literature,acute correction of acute angular deformity in proximal humeral SBC is not well comprehended.However,in this specific case,acute correction was considered an optimal solution.

Spherical Fuzzy WASPAS-based Entropy Objective Weighting for International Payment Method Selection

In international trade,exporters prefer to receive payments as quickly as possible,and importers want to make payments as late as possible.In this respect,the payment field,an essential condition for trade transactions,also represents the positions of exporters and importers conflict.In addition,there are many cases in which various variables must be considered rather than only one specific variable representatively affecting payment,particularly in the case of import-export Small and Medium-Sized Enterprises(SMEs)from emerging countries.A selection of proper payment methods can be categorized as a Multi-Criteria Decision-Making(MCDM)issue.Therefore,this study aims to propose a novel and efficient Spherical Fuzzy Weighted Aggregated Sum Product Assessment based Entropy Objective Weighting method(SF-EW and WASPAS-SF)to evaluate international payment methods with uncertain information.First,SF-EW model is applied to determine the relative weights of critical factors.Second,international payment method alternatives are prioritized by the WASPAS-SF approach.Five essential factors for four international payment methods are proposed based on experts’opinions and the existing literature.A real-world case study from Vietnamese import-export SMEs is presented to validate the applicability of the proposed framework.The results indicated that“Characteristics of payment method(PA)”had the most significant impact on international payment method selection.In comparison,“Letters of Credit(L/C)”was the most reliable payment method with the highest ranking available to international traders.Furthermore,a sensitivity analysis was performed to examine the validity and robustness of the proposed decision support model.Consequently,this study could contribute to international payment services and in the context of globalization and international trade.

Public-Private Partnership Model Used in the Taipei Central Station Project Research

In view of the lack of financial aid and the migration of industries,the role of local governments shifted from social reproduction to development and production,which made the development of the local economy their main responsibility.The local governments hence have to face challenges in their management in regards to the arising changes and needs.This Taipei Central Bus Station Build Operate Transfer(BOT)project of urban formation and development is not only a trend in countries around the globe;it is also an area the Taiwan Residents governments are actively involved in.With the impact of urbanization,the size of highly functional cities has surpassed core city administrative regions;therefore,this has generated various planning,administrative and policy issues.This study examines the public-private partnership(PPP)views on urban development;the research methodology will be designed to focus on qualitative research,the following conclusions were made:(1)The basic goal of global city competitiveness of Taipei was promoted by implementing“qlubarnization”,a spatial development strategy dependent on intercalary abilities.(2)Taipei is located in the hub of Asia,linking China's Mainland and Taiwan,facing the world,peaceful and stable,rich and diverse in culture,such that adopting the“hybrid or mixed-use development model”will allow“the national gate of the country program—Central Station,Central Park”to become an international city brand.(3)Taking the“Taipei Main Station PPPs model development of the Taipei Central Bus Station BOT project of nine precincts specific land development projects”as a key success indicator,the government took privatization or PPP into consideration,loosened the monopoly on urban infrastructure,created infrastructure services and a maintenance market,positioned the city as a“supranational”entity in terms of capital flow,and sought a coherent land policy.

Predicting abnormal trading behavior from internet rumor propagation:a machine learning approach

In 2021,the abnormal short-term price fluctuations of GameStop,which were triggered by internet stock discussions,drew the attention of academics,financial analysts,and stock trading commissions alike,prompting calls to address such events and maintain market stability.However,the impact of stock discussions on volatile trading behavior has received comparatively less attention than traditional fundamentals.Furthermore,data mining methods are less often used to predict stock trading despite their higher accuracy.This study adopts an innovative approach using social media data to obtain stock rumors,and then trains three decision trees to demonstrate the impact of rumor propagation on stock trading behavior.Our findings show that rumor propagation outperforms traditional fundamentals in predicting abnormal trading behavior.The study serves as an impetus for further research using data mining as a method of inquiry.

Unusual capitate fracture with dorsal shearing pattern and concomitant carpometacarpal dislocation with a 6-year follow-up:A case report

BACKGROUND Isolated capitate fractures are rare carpal fractures.Following high-energy injuries,capitate fractures are usually associated with other carpal fractures or ligament injuries.The management of capitate fractures depends on the fracture pattern.Here,we report an unusual capitate fracture with a dorsal shearing pattern and concomitant carpometacarpal dislocation,with a 6-year follow-up.To the best of our knowledge,this fracture pattern and surgical management have not been previously reported.CASE SUMMARY A 28-year-old man presented with left-hand volar tenderness and decreased grip strength that persisted for one month after a traffic accident.Radiography showed a distal capitate fracture with carpometacarpal joint incongruence.Computed tomography(CT)revealed a distal capitate fracture with carpometacarpal joint dislocation.The distal fragment was rotated by 90°in the sagittal plane,and an oblique shearing fracture pattern was noted.Open reduction and internal fixation(ORIF)with a locking plate were performed using the dorsal approach.The imaging studies performed 3 mo and 6 years following surgery revealed a healed fracture,and the Disabilities of the Arm,Shoulder,and Hand and visual analog scale scores were significantly improved.CONCLUSION CT can detect capitate fractures with dorsal shearing pattern and concomitant carpometacarpal dislocation.ORIF using a locking plate are possible.

Governance of artificial intelligence applications in a business audit via a fusion fuzzy multiple rule‑based decision‑making model

A broad range of companies around the world has welcomed artificial intelligence(AI)technology in daily practices because it provides decision-makers with comprehensive and intuitive messages about their operations and assists them in formulating appropriate strategies without any hysteresis.This research identifies the essential components of AI applications under an internal audit framework and provides an appropriate direction of strategies,which relate to setting up a priority on alternatives with multiple dimensions/criteria involvement that need to further consider the interconnected and intertwined relationships among them so as to reach a suitable judgment.To obtain this goal and inspired by a model ensemble,we introduce an innovative fuzzy multiple rule-based decision making framework that integrates soft computing,fuzzy set theory,and a multi-attribute decision making algorithm.The results display that the order of priority in improvement—(A)AI application strategy,(B)AI governance,(D)the human factor,and(C)data infrastructure and data quality—is based on the magnitude of their impact.This dynamically enhances the implementation of an AI-driven internal audit framework as well as responds to the strong rise of the big data environment.Highlights Artificial intelligence(AI)promotes the sustainability development of audit tasks.A fuzzy MRDM model extracts key factors from large amounts of data.Fuzzy decision-making trial and evaluation laboratory analysis accounts for dependence and feedback among factors.An effective framework of AI-driven business audit is proposed in which“AI cognition of senior executives”is the most important criterion.

Bismuth-Complex-Incorporated Nanocellulose Sheet for Biomedical Application:A Review on New Nanocellulose Composites

Antibiotic resistance is one of the major issues in the medical field and a potential threat to human health.However,newly emerging antimicrobial compounds failed to combat antimicrobial resistance developed by bacterial pathogens.Recently,a bismuth-based complex has been developed to eradicate antimicrobial-resistant microorganism infections.The complex is known as organobismuth(III)phosphinate,which is said to be a potential broad-spectrum antimicrobial agent.This complex has been incorporated into the nanocellulose suspension to fabricate a biomedical composite for various applications.The composite can be fabricated by two methods namely vacuum filtration and spray coating.In this paper,the surface and topography of the composite are investigated and discussed in terms of SEM micrographs and their antimicrobial potential.This review focuses on the organo-bismuth nanocellulose composite and its biomedical application in the future.

Respiratory training interventions improve health status of heart failure patients: A systematic review and network meta-analysis of randomized controlled trials

BACKGROUND Prior studies indicate that doing breathing exercises improves physical performance and quality of life (QoL) in heart failure patients. However, these effects remain unclear and contradictory. AIM To determine the effects of machine-assisted and non-machine-assisted respiratory training on physical performance and QoL in heart failure patients. METHODS This was a systematic review and network meta-analysis study. A literature search of electronic databases was conducted for randomized controlled trials (RCTs) on heart failure. Respiratory training interventions were grouped as seven categories: IMT_Pn (inspiratory muscle training without pressure or < 10% maximal inspiratory pressure, MIP), IMT_Pl (inspiratory muscle training with low pressure, 10%-15% MIP), IMT_Pm (inspiratory muscle training with medium pressure, 30%-40% MIP), IMT_Ph (inspiratory muscle training with high pressure, 60% MIP or MIP plus aerobics), Aerobics (aerobic exercise or weight training), Qi_Ex (tai chi, yoga, and breathing exercise), and none. The four outcomes were heart rate, peak oxygen uptake (VO2 peak), 6-min walking distance test (6MWT), and Minnesota Living with Heart Failure QoL. The random-effects model, side-splitting model, and the surface under the cumulative ranking curve (SUCRA) were used to test and analyze the data. RESULTS A total of 1499 subjects from 31 RCT studies were included. IMT_Ph had the highest effect sizes for VO2 peak and 6MWT, IMT_Pm highest for QoL, and Qi_Ex highest for heart rate. Aerobics had the second highest for VO2 peak, Qi_Ex second highest for 6MWT, and IMT_Ph second highest for heart rate and QoL.CONCLUSION This study supports that high- and medium-intensity machine-assisted training improves exercise capacity and QoL in hospital-based heart failure patients. After hospital discharge, non-machine-assisted training continuously improves cardiac function.

GENERAL DECAY OF SOLUTIONS FOR A VISCOELASTIC EQUATION WITH NONLINEAR DAMPING AND SOURCE TERMS

The initial boundary value problem for a viscoelastic equation ｜ u t ｜ ρ u tt △u-△u tt ＋ t 0 g（ts）△u（s）ds ＋ ｜ u t ｜ m u t = ｜ u ｜ p u in a bounded domain is considered, where ρ, m, p 〉 0 and g is a nonnegative and decaying function. The general uniform decay of solution energy is discussed under some conditions on the relaxation function g and the initial data by adopting the method of [14, 15, 19]. This work generalizes and improves earlier results in the literature.

Using analytic network process to analyze problems for implementing turn-key construction projects in Taiwan

The turn-key construction project is implemented in Taiwan not by a single company but by a make-shift group of several companies. Hence,problems to coordinate the professional construction management (PCM) and the supervising architectural company often occur for the lack of long-term experience to work together. The various factors that affect the implementation of turn-key projects currently practiced in Taiwan are analyzed using the analytic network process (ANP). The objective is to study how the twelve key factors in the four layers of "Role assignment","Signing contract","Operational procedures" and "Losing capital investment" affect the progress of implementing the turn-key project in Taiwan. The results reveal that "Delay in payment" has the most negative influence with 15.62% weighing factor; "Latent risk" comes next with 11.14% weighing factor,and "Responsibility of construction company for project quality" is the third with 10.79% weighing factor.

Rotary ultrasonic-assisted milling of brittle materials

In order to improve the machining efficiency of ultrasonic milling,the easiest and most effective approach was started with the improvement of tool design.The main objective of this research was to utilize rotary ultrasonic machining (RUM's) effectiveness in removing brittle materials to extend the applications of this independent,innovative manufacturing method (self-driving rotary ultrasonic machining),and to experimentally investigate its milling application on brittle materials.The designed tool was used in the conjunction with previously established RUM machine tools,and glass was selected as workpiece for experiments.The interrelationship between feed rate and depth of cut was discussed.By measuring the surface roughness of workpiece,the overall efficacy of utilizing RUM for milling was evaluated and presented.Ultrasonic assisted milling results in the reduction of milling resistance,which leads to a greater process rate.

Seismic performance of tunnel lining of side-by-side and vertically stacked twin-tunnels

The dynamic interaction between tunnel lining and its surrounding soil is a complicated issue as the magnitude of seismic wave from bedrock to the structure can be easily influenced by the geometrical layout and structural stiffness of the tunnel.A series of numerical analysis was conducted to study the dynamic response of the tunnel lining of side-by-side and vertically stacked double-tube tunnel since the inertia and kinematic interactions between the tunnel lining and the surrounding soil during an earthquake could induce excessive stresses to the lining itself due to the stiffness variation between the lining and the soil.Real earthquake ground acceleration was used as an input motion in the dynamic analysis.The interactive behavior of bending moment and axial forces,and the displacement of the tunnels were used to evaluate the effect of tunnel geometrical layout on the performance of the lining.It is found that the effect of earthquake on the axial thrust of the lining is insignificant,and there is a reduction of the bending moment in the lining due to the redistribution of the surrounding soil after the earthquake.

A three-year longitudinal study of the relation between left atrial diameter remodeling and atrial fibrillation ablation outcome

在 post-radiofrequency 导管脱离(RFCA ) 的地位上改变 atrial 纤维性颤动(AF ) 的左 atrial 直径(男孩) 的 BackgroundThe 长期的预示的影响是不清楚的。这研究从 3 年的 echocardiographic 数据雇用了一个二阶段的模特儿比用基线 LAD.MethodsData 的模型来自有经历 RFCA 的药倔强的 AF 的 263 个连续病人是回顾地镇定的的查明二阶段的模型是否更有利地预言 RFCA 结果。男孩的常规 echocardiographic 大小在 RFCA 以后在基线， 1， 3， 6，和 12 个月然后每 6 个月被执行。性别，年龄， AF 的类型， RFCA 的数字，和 AF 地位被记录。我们获得实际(预言) 用一个纵的线性混合模型的 3 年的男孩(1 st 舞台) 。逻辑回归基于基线男孩(模型 1 ) 当模特儿，实际(预言)3 年的男孩(模型 2 )(2 nd 舞台) ，并且观察 3 年的男孩(模型 3 ) 被构造预言 RFCA 结果。在操作典型曲线(AUC ) 的接收装置下面的区域被用来估计弄平的曲线显示了的 models.ResultsThe lowess 的表演 LAD 在开始的三个月拒绝了并且在 RFCA 以后仍然保持稳定直到 36 个月。男孩减小的度被基线男孩显著地影响。非发作性的 AF，大男孩和女性是 AF 复发的重要预言者。模型 2 在纵的基于学习的二阶段的模型超过的三 models.ConclusionsThis 之中有最大的 AUC 用基线男孩的原来的逻辑模型。非发作性的 AF，更大的男孩和女性是 RFCA 失败的重要预言者。

Dynamic strength of rock with single planar joint under various loading rates at various angles of loads applied

Intact rock-like specimens and specimens that include a single, smooth planar joint at various angles are prepared for split Hopkinson pressure bar（SHPB） testing. A buffer pad between the striker bar and the incident bar of an SHPB apparatus is used to absorb some of the shock energy. This can generate loading rates of 20.2-4627.3 GPa/s, enabling dynamic peak stresses/strengths and associated failure patterns of the specimens to be investigated. The effects of the loading rate and angle of load applied on the dynamic peak stresses/strengths of the specimens are examined. Relevant experimental results demonstrate that the failure pattern of each specimen can be classified as four types： Type A, integrated with or without tiny flake-off; Type B, slide failure; Type C, fracture failure; and Type D, crushing failure. The dynamic peak stresses/strengths of the specimens that have similar failure patterns increase linearly with the loading rate, yielding high correlations that are evident on semi-logarithmic plots. The slope of the failure envelope is the smallest for slide failure, followed by crushing failure, and that of fracture failure is the largest. The magnitude of the plot slope of the dynamic peak stress against the loading rate for the specimens that are still integrated after testing is between that of slide failure and crushing failure. The angle of application has a limited effect on the dynamic peak stresses/strengths of the specimens regardless of the failure pattern, but it affects the bounds of the loading rates that yield each failure pattern, and thus influences the dynamic responses of the single jointed specimen. Slide failure occurs at the lowest loading rate of any failure, but can only occur in single jointed specimen that allows sliding.Crushing failure is typically associated with the largest loading rate, and fracture failure may occur when the loading rate is between the boundaries for slide failure and crushing failure.

列车脱轨风险分析框架（英文）

本研究旨在建立一个基于纳达尔公式的列车脱轨风险评估框架。采用蒙特卡罗仿真方法,建立了 10000 组随机参数,模拟最大地表加速度为 250~989.22 gal 的水平地震情况,评估列车脱轨风险受轨道曲率半径、翼缘角与等效圆锥度的差值的影响。结果表明,铁路系统在正常情况下无脱轨风险。然而,当地震发生时,脱轨风险随着地震力引起的卸载因子的增大而增大。结果还表明,等效锥度增加了脱轨风险;因此,应将等效锥度列为维护重点之一。此外,在所有列车脱轨因素中,翼缘角、等效圆锥度和卸载因素是最重要的。

BLOW-UP OF SOLUTION FOR A VISCOELASTIC WAVE EQUATION WITH DELAY

In this paper, we consider the following viscoelastic wave equation with delay|u_t|~ρu_(tt)-△u-△u_(tt)+∫_0~t g(t-8)△u(8)d8 + μ_1 u_t(x,t) + μ_2 u_t(x,t-τ) = b|u|^(p-2) u in a bounded domain. Under appropriate conditions on μ1, μ2, the kernel function g, the nonlinear source and the initial data, there are solutions that blow up in finite time.

Ultrasonic-assisted vibration tapping using taps with different coatings

A machine vision for assessing and inspecting the ratio of thread areas associated with fixed frequency (FF) and limited tracing frequency (LTF) ultrasonic-assisted vibration was presented using differently coated taps after tapping of Ti-6Al-4V alloys.Experimental results indicate that TiAlN Micran taps yield the best tapping quality for different coatings and tapping conditions.TiAlN Micran coated taps with LTF make the largest improvement over traditional tapping (TT),with an average increase of 30.2%.

GENERAL DECAY OF SOLUTIONS FOR A VISCOELASTIC EQUATION WITH BALAKRISHNAN-TAYLOR DAMPING AND NONLINEAR BOUNDARY DAMPING-SOURCE INTERACTIONS

A viscoelastic equation with Balakrishnan-Taylor damping and nonlinear boundary/interior sources is considered in a bounded domain. Under appropriate assumptions ira- posed on the source and the damping, we establish uniform decay rate of the solution energy in terms of the behavior of the nonlinear feedback and the relaxation function, without setting any restrictive growth assumptions on the damping at the origin and weakening the usual assumptions on the relaxation function.