Molecular Dynamics Study of the Structure and Mechanical Properties of Spider Silk Proteins.

Spider silk is renowned for its exceptional toughness, with the strongest dragline silk composed of two proteins, MaSp1 and MaSp2, featuring central repetitive sequences and nonrepetitive terminal domains. Although these sequences to spider silk's strength and toughness, the specific roles of MaSp1 and MaSp2 at the atomic level remain unclear. Using AlphaFold3 models and molecular dynamics (MD) simulations, we constructed models of MaSp1 and MaSp2 and validated their stability.

Efficacy of wearable transcutaneous electrical acupoint stimulation bracelet on moderate-to-severe postoperative nausea and vomiting in patients after general anesthesia: a study protocol for a multicenter randomized controlled trial.

Background: Postoperative nausea and vomiting (PONV) is the most common complication following general anesthesia. Currently, pharmaceutical therapy is the primary method of treatment, but it has reached a plateau, and it is accompanied by inherent adverse reactions and high costs. Stimulation of the wrist acupuncture point PC6 is recommended as an effective means of preventing PONV.

A computational approach to drug design for multiple sclerosis via QSPR modeling, chemical graph theory, and multi-criteria decision analysis.

Multiple sclerosis (MS) is a complex autoimmune disease of the central nervous system with an unknown etiology. While disease-modifying therapies can slow progression, there is a need for more effective treatments. Quantitative structure-activity relationship (QSAR) modeling using topological indices derived from chemical graph theory is a promising approach to rationally design new drugs for MS.

Visceral adipose tissue mediates the relationship between left ventricular global longitudinal strain and insulin resistance among adults living with type 2 diabetes.

Background: Adipose tissue distribution plays a crucial role in the development of cardiovascular complications. In particular, visceral adipose tissue (VAT) has been linked to insulin resistance (IR) and cardiovascular disease (CVD). However, the relationship between VAT, cardiac dysfunction and the meditation capacity of VAT related to IR has not been fully characterized.

Visual deprivation and axial myopia: Considerations on long-term ocular development.

Introduction: Severe visual deprivation during infancy can lead to long-term changes in ocular development, including significant differences in axial length (AL) between eyes. This case report presents three adult patients with monocular infantile visual deprivation who developed substantial AL interocular differences. The aim is to explore the impact of early visual deprivation on AL and its potential implications for myopia progression.

Modeling synergy and individual effects of X-ray induced photodynamic therapy components.

X-ray induced photodynamic therapy (XPDT) utilizes self-lighting nanoparticles to combine the benefits of radiotherapy and photodynamic therapy. These nanomaterials transform X-ray to visible light that can be absorbed by nearby photosensitizers and in the presence of surrounding oxygen molecules generates reactive oxygen species, which are very toxic to the cells. Despite many studies conducted on modelling XPDT, little focused on the contribution of each component as well as their synergy effects.

Cerebellar Bergmann glia integrate noxious information and modulate nocifensive behaviors.

The cerebellum is activated by noxious stimuli and pathological pain but its role in noxious information processing remains unknown. Here, we show that in mice, cutaneous noxious electrical stimuli induced noradrenaline (NA) release from locus coeruleus (LC) terminals in the cerebellar cortex. Bergmann glia (BG) accumulated these LC-NA signals by increasing intracellular calcium in an integrative manner ('flares').

Development and construction of a portable wind tunnel for investigating wind erosion through the application of photogrammetry techniques.

Climate change is one of the most crucial issues in human society such that if it is not given sufficient attention, it can become a great threat to both humans and the Earth. Due to global warming, soil erosion is increasing in different regions. Therefore, this issue will require further investigation and the use of new tools.

Quantum implementation of the classical guided image filtering algorithm.

Image filtering involves the application of window operations that perform valuable functions, such as noise removal, image enhancement, high dynamic range (HDR) compression, and so on. Guided image filtering is a new type of explicit image filter with multiple advantages. It can effectively remove noise while preserving edge details, and can be used in a variety of scenarios.

Enhanced photovoltaic panel diagnostics through AI integration with experimental DC to DC Buck Boost converter implementation.

Health monitoring and analysis of photovoltaic (PV) systems are critical for optimizing energy efficiency, improving reliability, and extending the operational lifespan of PV power plants. Effective fault detection and monitoring are vital for ensuring the proper functioning and maintenance of these systems. PV power plants operating under fault conditions show significant deviations in current-voltage (I-V) characteristics compared to those under normal conditions.

Electro-chemo-mechanics of anode-free solid-state batteries.

Anode-free solid-state batteries contain no active material at the negative electrode in the as-manufactured state, yielding high energy densities for use in long-range electric vehicles. The mechanisms governing charge-discharge cycling of anode-free batteries are largely controlled by electro-chemo-mechanical phenomena at solid-solid interfaces, and there are important mechanistic differences when compared with conventional lithium-excess batteries. This Perspective provides an overview of the factors governing lithium nucleation, growth, stripping and cycling in anode-free solid-state batteries, including mechanical deformation of lithium, the chemical and mechanical properties of the current collector, microstructural effects, and stripping dynamics.

Sub-terahertz metamaterial stickers for non-invasive fruit ripeness sensing.

Fruits and vegetables account for around a third of all food loss and waste. Post-harvest, retail and consumer losses and waste could be reduced with better ripeness assessment methods. Here we develop a sub-terahertz metamaterial sticker (called Meta-Sticker) that can be attached to a fruit to provide insights into the edible mesocarp's ripeness without cutting into the produce.

Ultrasonic optic nerve sheath diameter as a new predictor for the mortality of patients with large hemispheric infarction.

Large hemispheric infarction (LHI) is a severe form of stroke with high mortality and poor outcomes. Ultrasonic optic nerve sheath diameter (ONSD) is considered an effective indicator for intracranial hypertension. Our study aimed to validate the efficiency of ultrasonic ONSD and develop a nomogram to identify LHI patients who have 90-day mortality.

Three-dimensional photoluminescence imaging of threading dislocations in GaN by sub-band optical excitation.

GaN is rapidly gaining attention for implementation in power electronics but is still impacted by its high density of threading dislocations (TDs), which have been shown to facilitate current leakage through devices limiting their performance and reliability. Here, we discuss a novel implementation of photoluminescence (PL) imaging to study TDs in regions within vertically structured p-i-n GaN (PIN) diodes consisting of metalorganic chemical vapor deposition (MOCVD) epitaxial layers grown on ammonothermal GaN (am-GaN) substrates. PL imaging with a sub-bandgap excitation energy (3.

Efficient control strategy for electric furnace temperature regulation using quadratic interpolation optimization.

Electric furnaces play an important role in many industrial processes where precise temperature control is essential to ensure production efficiency and product quality. Traditional proportional-integral-derivative (PID) controllers and their modified versions are commonly used to maintain temperature stability by reacting quickly to deviations. In this study, the real PID plus second-order derivative (RPIDD) controller is introduced for the first time for industrial temperature control applications, which is a novel alternative that has not yet been investigated in the literature.

Tumor detection on bronchoscopic images by unsupervised learning.

The diagnosis and early identification of intratracheal tumors relies on the experience of the operators and the specialists. Operations by physicians with insufficient experience may lead to misdiagnosis or misjudgment of tumors. To address this issue, a datasets for intratracheal tumor detection has been constructed to simulate the diagnostic level of experienced specialists, and a Knowledge Distillation-based Memory Feature Unsupervised Anomaly Detection (KD-MFAD) model was proposed to learn from this simulated experience.

A novel energy pattern factor-based optimized approach for assessing Weibull parameters for wind power applications.

One of the green, clean, and environment-friendly sources of energy is wind energy. For the assessment of wind energy potential, the parameters of the probability distribution function (PDF), i.e.

Multiobjective distribution system operation with demand response to optimize solar hosting capacity, voltage deviation index and network loss.

In this research, demand response impact on the hosting capacity of solar photovoltaic for distribution system is investigated. The suggested solution model is formulated and presented as a tri-objective optimization that consider maximization of solar PV hosting capacity (HC), minimization of network losses (Loss) and maintaining node voltage deviation (V) within acceptable limits. These crucial objectives are optimized simultaneously as well as individually.

Capsaicin-induced secondary hyperalgesia differences between the trigeminal and spinal innervation.

This study compared the degree of secondary hyperalgesia and somatosensory threshold changes induced by topical capsaicin between spinal and trigeminal innervation. This crossover clinical trial included 40 healthy individuals in which 0.25 g of 1% capsaicin cream was randomly applied for 45 minutes to a circular area of 2 cm to the skin covering the masseter muscle and forearm in 2 different sessions, separated by at least 24 hours and no more than 72 hours (washout period).

Demonstration of high-reconfigurability and low-power strong physical unclonable function empowered by FeFET cycle-to-cycle variation and charge-domain computing.

Physical unclonable functions (PUFs) are of immense potential in authentication scenarios for Internet of Things (IoT) devices. For creditable and lightweight PUF applications, key attributes, including low power, high reconfigurability and large challenge-response pair (CRP) space, are desirable. Here, we report a ferroelectric field-effect transistor (FeFET)-based strong PUF with high reconfigurability and low power, which leverages the FeFET cycle-to-cycle variation throughout the workflow and introduces charge-domain in-memory computing.

Moiré band structure engineering using a twisted boron nitride substrate.

Applying long wavelength periodic potentials on quantum materials has recently been demonstrated to be a promising pathway for engineering novel quantum phases of matter. Here, we utilize twisted bilayer boron nitride (BN) as a moiré substrate for band structure engineering. Small-angle-twisted bilayer BN is endowed with periodically arranged up and down polar domains, which imprints a periodic electrostatic potential on a target two-dimensional (2D) material placed on top.

GIS-based spatial assessment of water quality, soil, and plant: a case study of Darawat Dam Sindh, Pakistan.

This study applied integrated statistical approaches, including GIS mapping and the water quality index (WQI), to assess the quality of water, soil, and plant samples which collected from Darawat Dam, Sindh, Pakistan. The samples were analyzed for physicochemical parameters and metal analyses. Results of cations in water samples were in the range Na 26.