Prioritizing robots in intelligent manufacturing using q-rung orthopair fuzzy decision-making method and unknown weight information.

The rapid evolution of intelligent manufacturing systems necessitates the integration of advanced robotics to meet increasing demands for productivity, precision, and adaptability. Robots play an indispensable role across a spectrum of operations, from assembly to inspection, directly influencing the efficiency and effectiveness of modern manufacturing environments. Addressing the critical need for enhanced decision-making in technological investments, this study evaluates and ranks various types of robots using an integrated decision-making framework.

Relationship and prognostic value of the triglyceride-glucose index and optical coherence tomography-derived physiological index in patients with acute coronary syndrome.

The optical flow ratio (OFR), derived from optical coherence tomography (OCT) images, serves as a physiological index, while the Triglyceride-Glucose Index (TyG) is an alternative measure of insulin resistance. Both indices are positively correlated with poor prognosis in patients with acute coronary syndrome (ACS), but the relationship between the TyG index, OFR, and their prognostic value remains unclear. We included ACS patients who underwent OCT between January 1, 2021, and March 31, 2023.

Achieving efficient red room-temperature phosphorescence in two-dimensional hybrid halide perovskites by manganese doping.

Red room-temperature phosphorescence (RTP), characterized by its long emission wavelength and lifetime, has broad applications in various fields, including bioimaging, light-emitting diodes (LEDs), information encryption, and photodetectors. Two-dimensional (2D) hybrid halide perovskites are a novel class of organic-inorganic hybrid composite materials. Their diverse binary combinations offer a versatile platform for designing energy transfer pathway and introducing emerging optical phenomena, making them promising candidates for developing the next-generation of RTP materials.

Computational applications for the discovery of novel antiperovskites and chalcogenide perovskites: a review.

Novel perovskites pertain to newly discovered or less studied variants of the conventional perovskite structure, characterized by distinctive properties and potential for diverse applications such as ferroelectric, optoelectronic, and thermoelectric uses. In recent years, advancements in computational methods have markedly expedited the discovery and design of innovative perovskite materials, leading to numerous pertinent reports. However, there are few reviews that thoroughly elaborate the role of computational methods in studying novel perovskites, particularly for state-of-the-art perovskite categories.

Accelerated Discovery of Halide Perovskite Materials via Computational Methods: A Review.

Halide perovskites have gained considerable attention in materials science due to their exceptional optoelectronic properties, including high absorption coefficients, excellent charge-carrier mobilities, and tunable band gaps, which make them highly promising for applications in photovoltaics, light-emitting diodes, synapses, and other optoelectronic devices. However, challenges such as long-term stability and lead toxicity hinder large-scale commercialization. Computational methods have become essential in this field, providing insights into material properties, enabling the efficient screening of large chemical spaces, and accelerating discovery processes through high-throughput screening and machine learning techniques.

Controlling Welding Residual Stress and Distortion of High-Strength Aluminum Alloy Thin Plates by a Trailing Hybrid High-Speed Gas Fluid Field.

This paper presents an investigation of the welding residual stress and distortion of LY12 high-strength aluminum alloy (6061) by improving the local welding thermal and mechanical fields. A trailing hybrid high-speed gas fluid method was proposed and applied to decrease the welding residual stress and distortion of 6061 aluminum alloy efficiently. Firstly, the temperature and stress fields were calculated using the finite element simulation method, considering a trailing hybrid high-speed gas fluid field.

A robust self-alignment method for ship's strapdown INS under mooring conditions.

Strapdown inertial navigation systems (INS) need an alignment process to determine the initial attitude matrix between the body frame and the navigation frame. The conventional alignment process is to compute the initial attitude matrix using the gravity and Earth rotational rate measurements. However, under mooring conditions, the inertial measurement unit (IMU) employed in a ship's strapdown INS often suffers from both the intrinsic sensor noise components and the external disturbance components caused by the motions of the sea waves and wind waves, so a rapid and precise alignment of a ship's strapdown INS without any auxiliary information is hard to achieve.

[Comparative observation on curative effects of stenosing tenovaginitis of flexor digitorum treated with acupuncture knife therapy and blocking therapy].

Objective: To compare the curative effects on stenosing tenovaginitis of flexor digitorum treated with acupuncture knife therapy and blocking therapy so as to explore the better method.

Methods: Three hundred and four cases were randomly divided into acupuncture knife therapy group (164 cases) and blocking therapy group (140 cases). In acupuncture knife therapy group, hooking and cutting were applied on the pressure points and scleromas with Ren's hooked acupuncture knife; routine blocking therapy was applied in blocking therapy group.