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Surgeons transitioning from laparoscopic to robotic-assisted inguinal hernia repair: a prospective analysis of efficiency.
Hernia
January 2025
Department of Surgery, Baptist Health South Florida, Miami, FL, USA.
Background: Available reports of surgeon efficiency when transitioning from laparoscopic to robotic-assisted (RA) inguinal hernia repair (IHR) are retrospective or describe single-center experience. The purpose of this study is to provide a prospective, multi-surgeon, multi-center assessment of surgeon efficiency when transitioning from Lap-IHR to RA-IHR.
Methods: General surgeons with Lap-IHR experience (≥300 Lap-IHRs prior to the study) but with no robotic experience (no RA cases one year prior to the study) consented to participate in this prospective, observational pilot study of their surgical efficiency as they adopted RA-IHR.
Mass Acquisition of Dirac Fermions in Bi_{4}I_{4} by Spontaneous Symmetry Breaking.
Phys Rev Lett
December 2024
School of Physics, Beihang University, Haidian District, Beijing 100191, China.
Massive Dirac fermions, which are essential for realizing novel topological phenomena, are expected to be generated from massless Dirac fermions by breaking the related symmetry, such as time-reversal symmetry in topological insulators or crystal symmetry in topological crystalline insulators. Here, we report scanning tunneling microscopy and angle-resolved photoemission spectroscopy studies of α-Bi_{4}I_{4}, which reveals the realization of massive Dirac fermions in the (100) surface states without breaking the time-reversal symmetry. Combined with first-principles calculations, our experimental results indicate that the spontaneous symmetry breaking engenders two nondegenerate edge states at the opposite sides of monolayer Bi_{4}I_{4} after the structural phase transition, imparting mass to the Dirac fermions after taking the interlayer coupling into account.
View Article and Find Full Text PDFFault localization for automatic train operation based on the adaptive error locating array algorithm.
Sci Rep
January 2025
School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.
When the combinatorial testing method is used to locate faults in the complex signalling system of high-speed rail in order to prevent the system from being affected by combinatorial testing case explosion, which could results from the masking effects caused by multiple faults, the Minimum Fault Schema (MFS) can be accurately and efficiently located. Taking the Automatic Train Operation (ATO) scenario in intelligent high-speed rail as an example, a fault localization method based on the Adaptive Error Locating Array (AELA) algorithm is proposed. To begin with, according to the characteristics of ATO, the adaptive fault localization model is designed and the test parameter table is constructed.
View Article and Find Full Text PDFBio particle swarm optimization and reinforcement learning algorithm for path planning of automated guided vehicles in dynamic industrial environments.
Sci Rep
January 2025
Xiamen Topstar Co., Ltd., Xiamen, 361000, Fujian, China.
Automated guided vehicles play a crucial role in transportation and industrial environments. This paper presents a proposed Bio Particle Swarm Optimization (BPSO) algorithm for global path planning. The BPSO algorithm modifies the equation to update the particles' velocity using the randomly generated angles, which enhances the algorithm's searchability and avoids premature convergence.
View Article and Find Full Text PDFThe usefulness of automated high frequency ultrasound image analysis in atopic dermatitis staging.
Sci Rep
January 2025
Department of Dermatology, Poznan University of Medical Sciences, Poznan, Poland.
The last decades have brought an interest in ultrasound applications in dermatology. Especially in the case of atopic dermatitis, where the formation of a subepidermal low echogenic band (SLEB) may serve as an independent indicator of the effects of treatment, the use of ultrasound is of particular interest. This study proposes and evaluates the computer-aided diagnosis method for assessing atopic dermatitis (AD).
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