Factors Influencing Consumer Willingness to Use AI-Driven Autonomous Taxis.

The advancement of autonomous driving technology, particularly Tesla's launch of its new Robotaxi, marks a transformation in transportation. Understanding the theoretical mechanisms that drive consumers' intention to use autonomous taxis is essential. This study develops a structural equation model (SEM), extending the applicability of the TAM and TPB model, and incorporates external factors like attitudes, subjective norms, traffic efficiency, and perceived cost-benefit into the model to analyze their impact on consumers' perceived characteristics (perceived usefulness and perceived ease of use).

Integrating dynamic models and neural networks to discover the mechanism of meteorological factors on Aedes population.

Aedes mosquitoes, known as vectors of mosquito-borne diseases, pose significant risks to public health and safety. Modeling the population dynamics of Aedes mosquitoes requires comprehensive approaches due to the complex interplay between biological mechanisms and environmental factors. This study developed a model that couples differential equations with a neural network to simulate the dynamics of mosquito population, and explore the relationships between oviposition rate, temperature, and precipitation.

A 3D framework for segmentation of carotid artery vessel wall and identification of plaque compositions in multi-sequence MR images.

Accurately assessing carotid artery wall thickening and identifying risky plaque components are critical for early diagnosis and risk management of carotid atherosclerosis. In this paper, we present a 3D framework for automated segmentation of the carotid artery vessel wall and identification of the compositions of carotid plaque in multi-sequence magnetic resonance (MR) images under the challenge of imperfect manual labeling. Manual labeling is commonly done in 2D slices of these multi-sequence MR images and often lacks perfect alignment across 2D slices and the multiple MR sequences, leading to labeling inaccuracies.

Comparative Outcomes of Intravenous, Intranasal, and Intracerebroventricular Transplantation of Human Neural Stem Cells in Mice Model of Ischemic Stroke.

Background: Transplantation of neural stem cells improves ischemic stroke outcomes in rodent models and is currently in the clinical test stage. However, the optimal delivery route to achieve improved efficacy remains undetermined.

Objective: This study aims to evaluate three more clinically feasible delivery routes: intravenous (IV), intranasal (IN), and intracerebroventricular (ICV).

Clinical performance of implant-supported single hybrid abutment crown restoration: A systematic review and meta-analysis.

Purpose: To investigate survival rates and technical and biological complications of one-piece screw-retained hybrid abutments in implant-supported single crowns (SCs).

Study Selection: An electronic search was performed on five databases for clinical studies involving implant-supported single hybrid abutment crowns constructed using titanium-base (Ti base) abutments, with at least 12 months of follow-up. The RoB 2, Robins-I, and JBI tools were used to assess the risk of bias for the different study types.

Diverse performances for Pb(II) adsorption by in situ formed Fe(III) oxyhydroxide derived from ferrate(VI) reduction and ferrous oxidation.

Two in situ formed Fe(III) oxyhydroxides (FeO) originated from ferrate reduction (designated FeO-Fe) and ferrous oxidation by HO (designated FeO-Fe) were compared in the aspects of morphology, hydrolyzed species, surface binding mechanism of lead. The theoretical maximum adsorption capacity calculated from the Langmuir model toward Pb(II) was 929.54 and 810.

Predictive Value of the Diffusion Magnetic Resonance Imaging Technique for the Postoperative Outcome of Cervical Spondylotic Myelopathy.

Background: Diffusion magnetic resonsance imaging (dMRI) can potentially predict the postoperative outcome of cervical spondylotic myelopathy (CSM).

Purpose: To explore preoperative dMRI parameters to predict the postoperative outcome of CSM through multifactor correlation analysis.

Study Type: Prospective.

Enhanced Adsorption of Bromoform onto Microplastic Polyethylene Terephthalate Exposed to Ozonation and Chlorination.

This paper selected microplastic polyethylene terephthalate (PET), commonly found in water/wastewater plant effluent, to investigate the changes of PET oxidized under ozonation (designated as ozonized PET), followed by sodium hypochlorite oxidation (designated as ozonized-chlorinated PET) and studied their influence on the adsorption of the disinfection by-product bromoform (TBM). Fragmentation and cracks appeared on the oxidized PET surface. As the oxidation degree increased, the contact angle decreased from 137° to 128.

The effect of quality of service experience on consumers' loyalty to music streaming services: Time pressure as a moderator.

This study investigates how the quality of service experience (QSE) impacts users' satisfaction and loyalty to music streaming services. To this end, the sense of insufficient time to do things, a moderated mediation model, is adopted to examine the mediating role of satisfaction and the moderating role of time pressure from working. By using structural equation modeling, the results reveal that QSE is positively related to users' satisfaction and loyalty to music streaming services.

The Nexus of Service Quality, Customer Experience, and Customer Commitment: The Neglected Mediating Role of Corporate Image.

Quality of service is a major determinant of customer commitment to the organization. Therefore, it is important to understand the importance of service quality for the corporate image as well. In this study, the predicting roles of quality of service and customer experience have been unveiled in customer commitment through the mediating effect of corporate image.

Preclinical Studies on Neural Stem/Progenitor Cell Therapy for Ischemic Stroke: A Systematic Review.

Background: Neural stem/progenitor cells (NSPCs) transplantation has been recognized in recent years as an effective strategy for the treatment of ischemic stroke. Several preclinical studies have demonstrated the feasibility, safety, and efficacy of NSPCs therapy.

Methods: We conducted a systematic review of the published literature in Pubmed reporting the use of NSPCs in preclinical studies between 2010 and 2021.

Tracking Neural Stem Cells in vivo: Achievements and Limitations.

Neural stem cell (NSC) therapies are developing rapidly and have been proposed as a treatment option for various neurological diseases, such as stroke, Parkinson's disease and multiple sclerosis. However, monitoring transplanted NSCs, exploring their location and migration, and evaluating their efficacy and safety have all become serious and important issues. Two main problems in tracking NSCs have been noted: labeling them for visibility and imaging them.

Proximal nerve MR neurography with diffusion tensor imaging in differentiating subtypes of Charcot-Marie-Tooth disease.

Objectives: To evaluate the feasibility of proximal nerve MR neurography with diffusion tensor imaging (DTI) for differentiating Charcot-Marie-Tooth (CMT) 1A, CMT2, and healthy controls.

Methods: The diameters, fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of L4-L5 nerve roots, femoral nerve (FN), and sciatic nerve (SN) were compared. Receiver operating characteristic (ROC) curve analyses were conducted to evaluate the diagnostic performance.

Predicting postoperative recovery in cervical spondylotic myelopathy: construction and interpretation of T-weighted radiomic-based extra trees models.

Objectives: Conventional MRI may not be ideal for predicting cervical spondylotic myelopathy (CSM) prognosis. In this study, we used radiomics in predicting postoperative recovery in CSM. We aimed to develop and validate radiomic feature-based extra trees models.

Optimal machine learning methods for radiomic prediction models: Clinical application for preoperative T*-weighted images of cervical spondylotic myelopathy.

Introduction: Predicting the postoperative neurological function of cervical spondylotic myelopathy (CSM) patients is generally based on conventional magnetic resonance imaging (MRI) patterns, but this approach is not completely satisfactory. This study utilized radiomics, which produced advanced objective and quantitative indicators, and machine learning to develop, validate, test, and compare models for predicting the postoperative prognosis of CSM.

Materials And Methods: In total, 151 CSM patients undergoing surgical treatment and preoperative MRI was retrospectively collected and divided into good/poor outcome groups based on postoperative modified Japanese Orthopedic Association (mJOA) scores.

Generation of Vertebra Micro-CT-like Image from MDCT: A Deep-Learning-Based Image Enhancement Approach.

This paper proposes a deep-learning-based image enhancement approach that can generate high-resolution micro-CT-like images from multidetector computed tomography (MDCT). A total of 12,500 MDCT and micro-CT image pairs were obtained from 25 vertebral specimens. Then, a pix2pixHD model was trained and evaluated using the structural similarity index measure (SSIM) and Fréchet inception distance (FID).

Utility of Advanced DWI in the Detection of Spinal Cord Microstructural Alterations and Assessment of Neurologic Function in Cervical Spondylotic Myelopathy Patients.

Background: Diffusion-weighted imaging (DWI) can quantify the microstructural changes in the spinal cord. It might be a substitute for T2 increased signal intensity (ISI) for cervical spondylotic myelopathy (CSM) evaluation and prognosis.

Purpose: The purpose of the study is to investigate the relationship between DWI metrics and neurologic function of patients with CSM.

Intensification of NO Conversion over Activated Coke by Ozone Oxidation for Sintering Flue Gas at Low Temperatures.

Denitration (De-NO ) over activated cokes (ACs) for sintering flue gas needs intensification. Gaseous reactions in a gas mixture containing NO, NO, and NH, with the effect of O concentration and moisture, were taken into consideration in the study of NO conversion over ACs. Experimental studies on NO conversion with and without NH over ACs were conducted using a fixed-bed reactor at 100 °C.

Expression of urotensin II is positively correlated with pyroptosis-related molecules in patients with severe preeclampsia.

: We studied the expression of urotensin II (UII) and its relationships with markers of pyroptosis in preeclampsia. : 48 pregnant subjects were recruited consisting of 28 severe preeclampsia pregnancies (SPE) and 20 healthy pregnancies. We detected expressions of UII and markers of pyroptosis such as NLR-family pyrin domain (PYD)-containing 3 (NLRP-3), caspase-1/4/5, interleukin-1β (IL-1β), and gasdermin D (GSDMD) in placentas of patients with SPE and healthy pregnancies.

AtNPR4 from Arabidopsis thaliana: expression, purification, crystallization and crystallographic analysis.

Salicylic acid (SA) is an important phytohormone that is involved in the regulation of plant defence, growth and development. A large number of proteins have been shown to have the ability to interact with SA, and NPR4 has been demonstrated to be a receptor of SA that plays significant roles in the innate immune response of plants. In this study, Spodoptera frugiperda (Sf9) cells were used to express full-length AtNPR4 from Arabidopsis thaliana.

Expression profiling of cell cycle genes in human pancreatic islets with and without type 2 diabetes.

Microarray gene expression data were used to analyze the expression pattern of cyclin, cyclin-dependent kinase (CDKs) and cyclin-dependent kinase inhibitor (CDKIs) genes from human pancreatic islets with and without type 2 diabetes (T2D). Of the cyclin genes, CCNI was the most expressed. Data obtained from microarray and qRT-PCR showed higher expression of CCND1 in diabetic islets.