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Piezoelectric fiber yarns produced by electrospinning offer a versatile platform for intelligent devices, demonstrating mechanical durability and the ability to convert mechanical strain into electric signals. While conventional methods involve twisting a single poly(vinylidene fluoride‐co‐trifluoroethylene)(P(VDF‐TrFE)) fiber mat to create yarns, by limiting control over the mechanical properties, an approach inspired by composite laminate design principles is proposed for strengthening. By stacking multiple electrospun mats in various sequences and twisting them into yarns, the mechanical properties of P(VDF‐TrFE) yarn structures are efficiently optimized. By leveraging a multi‐objective Bayesian optimization‐based machine learning algorithm without imposing specific stacking restrictions, an optimal stacking sequence is determined that simultaneously enhances the ultimate tensile strength (UTS) and failure strain by considering the orientation angles of each aligned fiber mat as discrete design variables. The conditions on the Pareto front that achieve a balanced improvement in both the UTS and failure strain are identified. Additionally, applying corona poling induces extra dipole polarization in the yarn state, successfully fabricating mechanically robust and high‐performance piezoelectric P(VDF‐TrFE) yarns. Ultimately, the mechanically strengthened piezoelectric yarns demonstrate superior capabilities in self‐powered sensing applications, particularly in challenging environments and sports scenarios, substantiating their potential for real‐time signal detection. [ABSTRACT FROM AUTHOR]

Background: Previous studies have suggested that increased mechanical stress due to acute graft bending angle (GBA) is associated with tunnel widening and graft failure after anterior cruciate ligament (ACL) reconstruction. Few studies have compared the GBA between the outside-in (OI) and the transportal (TP) techniques. Purpose: To evaluate the influence of GBA on clinical outcomes and tunnel widening after ACL reconstruction with OI versus TP technique. Study Design: Cohort study; Level of evidence, 3. Methods: Included in the study were 56 patients who underwent double-bundle ACL reconstruction (n = 28 in the OI group and n = 28 in the TP group). Clinical outcomes (Lysholm, International Knee Documentation Committee, Tegner score, and knee laxity) 1 year postoperatively were evaluated. Computed tomography scans at 5 days and 1 year postoperatively were used for imaging measurements, and the femoral tunnel was divided into the proximal third, middle, and aperture sections. The GBA and cross-sectional area (CSA) were measured using image analysis software and were compared between groups. A correlation analysis was performed to determine if the GBA affected clinical outcomes or tunnel widening. Results: No significant difference was observed in clinical outcomes between the groups. The GBA of both the anteromedial (AM) and posterolateral bundles were more acute in the OI group compared with the TP group (P <.05). The CSA at the AM tunnel aperture increased significantly in the OI group (84.2% ± 64.3%) compared with the TP group (51.4% ± 36.7%) (P =.04). However, there were no differences in the other sections. In the Pearson correlation test, GBA was not correlated with tunnel widening or clinical outcomes. Conclusion: Regardless of technique, the GBA did not have a significant influence on tunnel widening or clinical outcomes. Considering a wider AM tunnel aperture, a more proximal and posterior AM tunnel position might be appropriate with the OI technique. [ABSTRACT FROM AUTHOR]

Endoscopic submucosal dissection (ESD) is clinically used to remove early gastric cancer in stomach. The aim of the current study is to examine a therapeutic capacity of pulsed Ho:YAG laser for the development of laser-assisted ESD under various surgical parameters. Ex vivo porcine stomach tissue was ablated with 1-J Ho:YAG pulses at 10 Hz at different number of treatments (NT = 1, 2, and 3) and treatment speeds (TS = 0.5, 1, and 2 mm/s) without and with saline injection. Regardless of saline injection, straight tissue ablation showed that ablation depth increased with increasing NT and decreasing TS. At NT = 3 and TS = 0.5 mm/s, no saline injection yielded the maximum ablation depth (3.4 ± 0.3 mm), partially removing muscularis propria. However, saline injection confined the tissue ablation within a submucosal layer (2.1 ± 0.3 mm). Thermal injury was found to be 0.7~1.1 mm in the adjacent tissue with superficial carbonization. Circular tissue ablation (2 cm in diameter) at NT = 3 and TS = 0.5 mm/s presented that no saline injection yielded a reduction in the lesion area, whereas saline injection maintained the ablated lesion area. Histological analysis revealed that unlike no saline injection, saline injection ablated the entire mucosal layer without perforation in the muscular propria. The pulsed Ho:YAG laser can be a potential surgical tool for clinical ESD to incise a target lesion without adverse perforation. Further investigations will validate the efficacy and safety of the Ho:YAG laser-assisted ESD in in vivo porcine stomach models for clinical translation. [ABSTRACT FROM AUTHOR]

The current study aims to evaluate the dependence of laser‐induced optical breakdown (LIOB) on skin types by using 1064 nm picosecond laser with micro‐lens arrays (MLA) and diffractive optical elements (DOE). Both black and white skin tissues were examined to comparatively assess the LIOB effects in the skin in terms of laser‐induced vacuolization. The black skin irradiated at 3.0 J/cm2 demonstrated that MLA yielded a deeper distribution (180‐400 μm) of laser‐induced vacuoles with a size of 67 μm, compared to DOE (180‐280 μm; 40 μm in size). However, the white skin presented that MLA created larger vacuoles (134 μm in size) in a smaller number at deeper distributions (125‐700 μm) than MLA with the black skin. DOE generated no laser‐induced vacuolization in the white skin. The white skin tissue with inherent higher scattering could be responsible for deeper vacuolization after the picosecond laser treatment. Further investigations are expected to determine the optimal treatment conditions for various skin types. [ABSTRACT FROM AUTHOR]

Two putative methylglyoxal synthases, which catalyze the conversion of dihydroxyacetone phosphate to methylglyoxal, from Oceanithermus profundus DSM 14,977 and Clostridium difficile 630 have been characterized for activity and thermal stability. The enzyme from O. profundus was found to be hyperthermophilic, with the optimum activity at 80 °C and the residual activity up to 59% after incubation of 15 min at 95 °C, whereas the enzyme from C. difficile was mesophilic with the optimum activity at 40 °C and the residual activity less than 50% after the incubation at 55 °C or higher temperatures for 15 min. The structural analysis of the enzymes with molecular dynamics simulation indicated that the hyperthermophilic methylglyoxal synthase has a rigid protein structure with a lower overall root-mean-square-deviation value compared with the mesophilic or thermophilic counterparts. In addition, the simulation results identified distinct regions with high fluctuations throughout those of the mesophilic or thermophilic counterparts via root-mean-square-fluctuation analysis. Specific molecular interactions focusing on the hydrogen bonds and salt bridges in the distinct regions were analyzed in terms of interatomic distances and positions of the individual residues with respect to the secondary structures of the enzyme. Key interactions including specific salt bridges and hydrogen bonds between a rigid beta-sheet core and surrounding alpha helices were found to contribute to the stabilisation of the hyperthermophilic enzyme by reducing the regional fluctuations in the protein structure. The structural information and analysis approach in this study can be further exploited for the engineering and industrial application of the enzyme. [ABSTRACT FROM AUTHOR]

Carbon dioxide (CO2) emissions are related to global warming. However, CO2 can be used as an abundant and cheap carbon source for production of valuable chemicals using carbon capture and storage technology. Here, the genes related to carbon flux toward pyruvate biosynthesis in E. coli were deleted to enhance the incorporation of CO2 for succinate production. The codonoptimized carbonic anhydrase gene (SP(-)HCCA) derived from Hahella chejuensis KCTC 2396 and the phosphoenolpyruvate carboxylase gene (ppc) of E. coli W3110 were co-overexpressed to enhance carbon flux toward oxaloacetate synthesis in E. coli. Finally, we constructed SGJS134, which shows the highest production of succinate derived from CO2 compared with other strains. SGJS134 produced approximately 6.5 mM succinate from CO2 and yielded approximately 13.0 mM succinate per dry cell weight. These results may be useful for enhancing the incorporation of CO2 for succinate production in E. coli. Additionally, the metabolic engineering method used in this study will propose the potential of E. coli to convert CO2 to valuable chemicals. [ABSTRACT FROM AUTHOR]

Here, Corynebacterium glutamicum ATCC13032 expressing Baeyer-Villiger monooxygenase from Pseudomonas putida KT2440 was designed to produce 9-(nonanoyloxy) nonanoic acid from 10-ketostearic acid. Diverse parameters including cultivation and reaction temperatures, type of detergent, and pH were found to improve biotransformation efficiency. The optimal temperature of cultivation for the production of 9-(nonanoyloxy) nonanoic acid from 10-ketostearic acid using whole cells of recombinant C. glutamicum was 15 °C, but the reaction temperature was optimal at 30 °C. Enhanced conversion efficiency was obtained by supplying 0.05 g/L of Tween 80 at pH 7.5. Under these optimal conditions, recombinant C. glutamicum produced 0.28 mM of 9-(nonanoyloxy) nonanoic acid with a 75.6% (mol/mol) conversion yield in 2 h. This is the first report on the biotransformation of 10-ketostearic acid to 9-(nonanoyloxy) nonanoic acid with a recombinant whole-cell C. glutamicum-based biocatalyst and the results demonstrate the feasibility of using C. glutamicum as a whole-cell biocatalyst. [ABSTRACT FROM AUTHOR]

Purpose – The purpose of this paper is to explore the relationship between atmospheric qualities with different levels of task relevance in luxury fashion brand web sites and their impact on consumer attitude toward the site and brand, which is essential to build valid strategies for e-retailing. Design/methodology/approach – An empirical study was conducted and quantitative analyses of 292 respondents’ shopping experiences yielded findings that confirm the impact of atmospherics upon the shopper’s views of the web site and the brand. Structural equation modeling was used to test the research hypotheses. Findings – Both low task-relevant atmospherics (web site design, responsive customer service) and high task-relevant atmospherics (product information, convenience) affect the consumers’ revisit intentions toward the web site, while web site design directly affected brand attitude. The study also illustrates the mediating roles of product information and convenience to the relationships between web site design and responsive customer service and the consumers’ revisit intentions toward the site. Practical implications – This study provides insights for luxury e-tailing. Luxury e-tailers should understand the different effects depending upon the types of web atmospheric qualities and use them strategically. Originality/value – The main contribution of the study is to highlight the unique aspects of luxury online shopping in the Korean context. This study also contributes to e-commerce research by providing an expanded understanding of the interrelationship between types of web atmospheric qualities. [ABSTRACT FROM AUTHOR]

In this study, phosphoenolpyruvate carboxylase (PEPC) derived from Oceanimonas smirnovii (OS) was expressed as a soluble protein in Escherichia coli BL21(DE3). We isolated OS-PEPC (a recombinant PEPC protein) by his-tag purification. The purified protein showed a single band upon analysis with SDS-PAGE, and it had an apparent molecular mass of 98 kDa. Pufied OS-PEPC showed a specific activity value of 21.8 ± 0.495 U/mg protein. Especially, OS-PEPC showed the enzymatic activity between 40 and 50 °C. It maintained enzymatic activity in basic pH conditions (pH value, 9-10). We also measured OS-PEPC PEP and HCO saturation kinetics and confirmed the effect of divalent cation on OS-PEPC activity. [ABSTRACT FROM AUTHOR]

Objective: To produce 10-ketostearic acid from oleic acid. Results: Oleic acid was converted to 10-ketostearic acid by a recombinant Corynebacterium glutamicum ATCC 13032 expressing oleate hydratase from Stenotrophomonas maltophilia and a secondary alcohol dehydrogenase from Micrococcus luteus under the control of a synthetic constitutive promoter. Optimal conditions for 10-ketostearic acid production were pH 7.5 and 30 °C with 5 g cells l and 2.5 g oleic acid l. Under these conditions, the cells produced 1.96 g 10-ketostearic acid l from oleic acid in 6 h, with a conversion yield of 78 % (w) and a maximum volumetric productivity of 1.67 g l h. Conclusion: This is the first report of 10-ketostearic acid production using a recombinant C. glutamicum. [ABSTRACT FROM AUTHOR]

An analysis of scar tissue is necessary to understand the pathological tissue conditions during or after the wound healing process. Hematoxylin and eosin (HE) staining has conventionally been applied to understand the morphology of scar tissue. However, the scar lesions cannot be analyzed from a whole slide image. The current study aimed to develop a method for the rapid and automatic characterization of scar lesions in HE-stained scar tissues using a supervised and unsupervised learning algorithm. The supervised learning used a Mask region-based convolutional neural network (RCNN) to train a pattern from a data representation using MMDetection tools. The K-means algorithm characterized the HE-stained tissue and extracted the main features, such as the collagen density and directional variance of the collagen. The Mask RCNN model effectively predicted scar images using various backbone networks (e.g., ResNet50, ResNet101, ResNeSt50, and ResNeSt101) with high accuracy. The K-means clustering method successfully characterized the HE-stained tissue by separating the main features in terms of the collagen fiber and dermal mature components, namely, the glands, hair follicles, and nuclei. A quantitative analysis of the scar tissue in terms of the collagen density and directional variance of the collagen confirmed 50% differences between the normal and scar tissues. The proposed methods were utilized to characterize the pathological features of scar tissue for an objective histological analysis. The trained model is time-efficient when used for detection in place of a manual analysis. Machine learning-assisted analysis is expected to aid in understanding scar conditions, and to help establish an optimal treatment plan. [ABSTRACT FROM AUTHOR]

Air pollution sources and the hazards of high particulate matter 2.5 (PM2.5) concentrations among air pollutants have been well documented. Shipping emissions have been identified as a source of air pollution; therefore, it is necessary to predict air pollutant concentrations to manage seaport air quality. However, air pollution prediction models rarely consider shipping emissions. Here, the PM2.5 concentrations of the Busan North and Busan New Ports were predicted using a recurrent neural network and long short-term memory model by employing the shipping activity data of Busan Port. In contrast to previous studies that employed only air quality and meteorological data as input data, our model considered shipping activity data as an emission source. The model was trained from 1 January 2019 to 31 January 2020 and predictions and verifications were performed from 1–28 February 2020. Verifications revealed an index of agreements (IOA) of 0.975 and 0.970 and root mean square errors of 4.88 and 5.87 µg/m3 for Busan North Port and Busan New Port, respectively. Regarding the results based on the activity data, a previous study reported an IOA of 0.62–0.84, with a higher predictive power of 0.970–0.975. Thus, the extended approach offers a useful strategy to prevent PM2.5 air pollutant-induced damage in seaports. [ABSTRACT FROM AUTHOR]

Simple Summary: Colorectal cancer is one of the most common cancers and the third leading cause of cancer-related deaths in the United States. As a non- or minimally invasive cancer treatment, photothermal therapy (PTT) has been widely used to generate irreversible thermal injuries in tumors. However, conventional PTT employs an end-firing flat fiber to deliver laser energy, leading to the incomplete removal of tumor tissues due to an uneven beam distribution over the tumor surface. Multi-lens arrays (MLA) generate multiple micro-beams to uniformly distribute laser energy on the tissue surface. Therefore, the application of MLA for PTT in cancer affords a spatially enhanced distribution of micro-beams and laser-induced temperature in the tumor. The purpose of the current study is to computationally and experimentally demonstrate the therapeutic benefits of MLA-assisted fractional PTT on colorectal cancer, in comparison to flat fiber-based PTT. Conventional photothermal therapy (PTT) for cancer typically employs an end-firing flat fiber (Flat) to deliver laser energy, leading to the incomplete treatment of target cells due to a Gaussian-shaped non-uniform beam profile. The purpose of the current study is to evaluate the feasibility of multi-lens arrays (MLA) for enhanced PTT by delivering laser light in a fractional micro-beam pattern. Computational and experimental evaluations compare the photothermal responses of gelatin phantoms and aqueous dye solutions to irradiations with Flat and MLA. In vivo colon cancer models have been developed to validate the therapeutic capacity of MLA-assisted irradiation. MLA yields 1.6-fold wider and 1.9-fold deeper temperature development in the gelatin phantom than Flat, and temperature monitoring identified the optimal treatment condition at an irradiance of 2 W/cm2 for 180 s. In vivo tests showed that the MLA group was accompanied by complete tumor eradication, whereas the Flat group yielded incomplete removal and significant tumor regrowth 14 days after PTT. The proposed MLA-assisted PTT spatially augments photothermal effects with the fractional micro-beams on the tumor and helps achieve complete tumor removal without recurrence. Further investigations are expected to optimize treatment conditions with various wavelengths and photosensitizers to warrant treatment efficacy and safety for clinical translation. [ABSTRACT FROM AUTHOR]

Conventional bridge maintenance requires significant time and effort because it involves manual inspection and two-dimensional drawings are used to record any damage. For this reason, a process that identifies the location of the damage in three-dimensional space and classifies the bridge components involved is required. In this study, three deep-learning models—PointNet, PointCNN, and Dynamic Graph Convolutional Neural Network (DGCNN)—were compared to classify the components of bridges. Point cloud data were acquired from three types of bridge (Rahmen, girder, and gravity bridges) to determine the optimal model for use across all three types. Three-fold cross-validation was employed, with overall accuracy and intersection over unions used as the performance measures. The mean interval over unit value of DGCNN is 86.85%, which is higher than 84.29% of Pointnet, 74.68% of PointCNN. The accurate classification of a bridge component based on its relationship with the surrounding components may assist in identifying whether the damage to a bridge affects a structurally important main component. [ABSTRACT FROM AUTHOR]