Core Competitiveness Construction of Clothing Brands in Low-Carbon Economy

The climate issue has become an environmental concern for all sectors of the world and the low-carbon economy has thus become a new economic development model to combat climate change.With the development of low-carbon economy era,the textile and clothing industry plays an important role in stabilizing the development of low-carbon economy and society,and China has put forward the development requirements of low-carbon transformation for the textile and clothing industry,and also it has an important strategic value to promote the high-quality development of low-carbon economy and society,and the construction of brands’ core competitiveness is an inevitable choice for clothing brands in the face of the new form of international competition.As a result,the evaluation indicator of clothing brands’ core competitiveness in the low-carbon economy is used to measure the core competitiveness of clothing brands.Based on the corresponding verification results obtained by analytic hierarchy process(AHP) analysis,it can guide the low-carbon development of the clothing industry,thus proposing a more reasonable way to build the core competitiveness of clothing brands.It can promote the low-carbon transformation and upgrading of the clothing industry,effectively increase the market share of clothing brands,and promote the high-quality development of clothing brands.

Types and Models of Product-Service System in Design Agencies

Product-service system design(PSSD)plays a significant role in both design theory and practice with increasing importance.Although scholars have made significant efforts to delineate its definition,methods,and applications,misunderstandings about PSSD persist widely across design agencies and academia.This study aims to outline the various types and models of product-service systems(PSSs)based on inputs from product design agencies.To achieve this purpose,this study applies a two-step research method,comprising a Q-sorting procedure followed by hypothesis testing.This allows us to study the business scope and design model of each design agency from a field research perspective.We propose a design framework with four basic types of PSSs,11 extended types of PSSs,and 4P-8D PSSD models.The current study has theoretical and practical implications.For academics,our models are clearly classified and validated.For practitioners,our models of PSSs can support design agencies in clearly recognizing their position within the design industry,allowing them to select the appropriate types and models to facilitate their future development.Our study also provides helpful guidances for college graduates,cutting-edge designers,and new design studios.

Design of Creative Incentive Contract of Cultural and Creative Industry Chain from Dual Perspective

The duality of cultural and creative industry can maintain the independence of creative birth and management as well as taking into account of the artistic and marketability of creativity.Income distribution contracts that link the design process to the commercial value of creative ideas can solve the problem of quantitative incentives for creative subjects.At the same time,it can encourage creative subjects to complete commercial and artistic design activities.The principal-agent relationship between the upstream and downstream of the industrial chain is utilized to stimulate the creation of creative ideas in line with market conditions,so as to solve the problem of duality reconciliation of cultural and creative industries.Through the design of the cultural creative industry chain dual task creative incentive contract,in the process of encouraging creative design subjects to complete the design of the work to give consideration to the coordination of duality.By analyzing the influences of design capability,risk,cost coefficient and binary correlation on the optimal investment level and the optimal risk sharing level of creative subjects in two types of design activities,the input transfer caused by the variation of the above conditions is further discussed.

Theoretical Model on Transformation Factors of Scientific and Technological Achievements under the Belt and Road Initiative

With the continuous deepening of the Belt and Road Initiative,the countries involved are increasingly connected in the field of science and technology.Based on the transformation theory of scientific and technological(S&T)achievements,this study establishes a theoretical model of transformation factors of S&T achievements under the Belt and Road Initiative.Combined with the data analysis from questionnaire,it is found that in S&T achievements transformation process,there is a significant positive correlation between the innovation factors and the transfer factors,between the transfer factors and the diffusion factors,and between the diffusion factors and the transformation results.These conclusions provide reference for the subsequent S&T achievements transformation activities under the Belt and Road Initiative.Therefore,in the process of promoting the transformation of S&T achievements under the Belt and Road Initiative in the future,innovation factors such as information innovation,service innovation,and cooperative innovation should be fully reflected.Relevant agencies should take the transfer factors of S&T achievements as guidance;promote and apply the results of incubation through diffusion media and diffusion channels.

Numerical Model of Thermal Responses in Human Skin under Low-Level Radiant Exposure

For improving the evaluative accuracy of thermal protective clothing performance,the estimated methods of thermal response of skin and the human body were comprehensively described and analyzed.This study reviewed the one-dimensional(1D)and multi-dimensional heat transfer models of the skin heat transfer model,including the corresponding heat and moisture transfer.Further,it investigated the influence of moisture transfer in vivo heat transfer.Moreover,the thermo-physiological model with active regulation was analyzed,especially in the local extremes,such as fingers and toes.Additionally,future research trends are discussed in estimating thermal protective performance.In developing the thermal protective model,it is essential to consider the geometric structure,local heat thermoregulation of extremities,and mass transfer inside the skin.

Computer-Based Estimation of Spine Loading during Self-Contained Breathing Apparatus Carriage

Firefighters’low back disorders(LBDs)are closely related to excessive spine loading when using the self-contained breathing apparatus(SCBA)continuously.The purpose of this study was to quantify firefighters’spine loading and evaluate the effects of strap lengths of SCBA on altering spine loading.Computer-based musculoskeletal models of three varying-strapped SCBA conditions and a control condition(CC)with no SCBA equipped were developed.The model was driven using three-dimensional(3 D)inertial motion capture data from twelve male subjects performing a walking task and the predicted ground reaction force(GRF).Electromyography(EMG)activities were also recorded to validate the results from the model.The 4 th-5 th lumbar vertebra(L4/L5)joint reaction forces,as well as erector spinae and rectus abdominis forces,were finally obtained.Results demonstrated that carrying SCBA significantly increased the compressive force and anteroposterior shear force at the spine.The risk of potential LBDs increased by about 17.77%.Dynamic balance of erector spinae and rectus abdominis contraction was also disturbed when carrying SCBA,indicating a higher risk of spine muscle strain.Adjustment of SCBA strap length was an efficient method to influence spine loading.The medium-fitting strap(MS)with a length of around 101 cm generated minimum joint reaction forces and achieved the optimum dynamic balance of spine muscle contraction,which was recommended for firefighters.

Image Retrieval with Text Manipulation by Local Feature Modification

The demand for image retrieval with text manipulation exists in many fields, such as e-commerce and Internet search. Deep metric learning methods are used by most researchers to calculate the similarity between the query and the candidate image by fusing the global feature of the query image and the text feature. However, the text usually corresponds to the local feature of the query image rather than the global feature. Therefore, in this paper, we propose a framework of image retrieval with text manipulation by local feature modification(LFM-IR) which can focus on the related image regions and attributes and perform modification. A spatial attention module and a channel attention module are designed to realize the semantic mapping between image and text. We achieve excellent performance on three benchmark datasets, namely Color-Shape-Size(CSS), Massachusetts Institute of Technology(MIT) States and Fashion200K(+8.3%, +0.7% and +4.6% in R@1).

Integrated Product Development in Rhinoplasty:A Case Study

The 3D simulation in preoperative design for nasal plastic surgery was studied to help patients see the postoperative effects and reduce medical disputes.The study developed and clinically tested an innovative design for surgical guides for nasal plastic surgery,which showed positive results in patient satisfaction and accuracy in achieving the preoperative simulated effect.The study also investigated the process of designing and producing nasal prostheses and how patient feedback could be obtained using third-party social media voting.Patient satisfaction information was collected and evaluated using the Likert scale,and the data statistical analysis was carried out with the SPSS19.0 software.More than 94.1% of the patients were satisfied with the postoperative results.The study provides a good reference case for the integration of knowledge and skills from the medicine,design,and engineering fields in the development of medical devices.

Optimization on magnetic properties of Nd-doped Fe_(3)O_(4) nanoparticles for magnetic shielding fabrics

High magnetic protective fabrics with rare earth Nd doped Fe_(3)O_(4) nanoparticles were fabricated via a grafting method.The structure,crystal form,and elemental composition of nanoparticles were investigated by transmission electron microscopy,energy dispersive X-ray,X-ray powder diffraction,and X-ray photoelectron spectroscopy.The obtained NdFe_(2)O_(4) nanoparticles show spherical shape with fine dispersion and reasonable element composition.However,they demonstrate fine superparamagnetic properties with a magnetic saturation value of 29.25 A·m^(2)/g and low coercivity of 1.902 mT through the vibrating sample magnetometry technique,which can be well developed in magnetic shielding protective applications.Then,the cotton fabrics with plain weave were finished by a proofing rapier loom as a carrier.The NdFe_(2)O_(4) nanoparticles underwent some appropriate surface modification and then were grafted onto the cotton fabrics by a bridge agent of N,N’-dissuccinimidyl carbonate.The morphology,structure,dispersion effect,and electromagnetic protective properties of the fabrics were observed through scanning electron microscopy,Fourier infrared spectroscopy,thermogravimetric analysisdifferential scanning calorimetry(TG-DSC),and a vector network analyzer.The reliable fabrics with grafting reaction on the interface are expected to have potential applications in the field of electromagnetic protection and biomedicine fields.

Influencing assessment of different heating modes on thermal comfort in electric vehicle cabin

Electric vehicle(EV)is more environmental-friendly than gasoline vehicle because the main power is not petrol.For the heating system,the waste heat generated by engines is recycled to heat the cabin of gasoline ones,while the EV need extra electric energy consumption for heating the cabin which decreases the driving range.Personal comfort system(PCS)has been reported that it is an alternative technique to improve occupant thermal comfort and indirectly save building heating energy.This study aims to investigate the occupants’thermal sensation under four heating modes in the EV cabin in winter,including no heating,only PCS,only air conditioning,and both air conditioning and PCS.The field survey is conducted in a parked EV with 12 subjects.Three thermal comfort indexes(PMV,SET^(*),and operative temperature Top)are used and assessed for their applicability in the thermal environment of the EV.Results show that the thermal environment in the cabin is non-uniform and dynamic with the air conditioning mode,while the PCS mode just slightly affects the temperature differences inside.Meanwhile,the subjects’thermal sensations cannot maintain neutral or warmer under the PCS mode only.The results of PMV are lower than the subjects’actual thermal sensation votes(TSV),while the results of SET^(*)and Top show significant linear relationships with the TSV for the correlation coefficients above 0.80.Compare to the air conditioning mode,the neutral SET^(*)and neutral Top are decreased by 2.7℃ and 1.6℃ under the mode with PCS and air conditioning,respectively.The findings indicate that PCS not only has a positive effect on improving the cabin environment and occupant’s thermal sensation but also has the potential to lower the setting temperature of air conditioner of EVs in winter.

Feature Fusion Multi_XMNet Convolution Neural Network for Clothing Image Classification

Faced with the massive amount of online shopping clothing images,how to classify them quickly and accurately is a challenging task in image classification.In this paper,we propose a novel method,named Multi_XMNet,to solve the clothing images classification problem.The proposed method mainly consists of two convolution neural network(CNN)branches.One branch extracts multiscale features from the whole expressional image by Multi_X which is designed by improving the Xception network,while the other extracts attention mechanism features from the whole expressional image by MobileNetV3-small network.Both multiscale and attention mechanism features are aggregated before making classification.Additionally,in the training stage,global average pooling(GAP),convolutional layers,and softmax classifiers are used instead of the fully connected layer to classify the final features,which speed up model training and alleviate the problem of overfitting caused by too many parameters.Experimental comparisons are made in the public DeepFashion dataset.The experimental results show that the classification accuracy of this method is 95.38%,which is better than InceptionV3,Xception and InceptionV3_Xception by 5.58%,3.32%,and 2.22%,respectively.The proposed Multi_XMNet image classification model can help enterprises and researchers in the field of clothing e-commerce to automaticly,efficiently and accurately classify massive clothing images.