Molten globule-state protein structure: Perspectives from food processing applications.

Under specific pretreatment or processing conditions, spheroprotein can be transformed into a molten globule state, a typical protein conformation with enhanced functionality. Analyzing the correlation between the formation of molten-globule structures and their quality and functional characteristics is critical for developing tailored processing features, especially for minimally processed future foods. This review outlines the mechanisms driving the formation of molten globule proteins through various processes including ultra-high pressure pretreatments, heating, ultrasonication, pH-shifting, macromolecular crowding and exposure to small-molecule denaturants.

Design, modeling and validation of a low-cost linkage-spring telescopic rod-slide underactuated adaptive robotic hand.

This paper presents the design of an underactuated adaptive humanoid Manipulator (UAHM) featuring a link-spring telescopic rod-slide mechanism, which is capable of basic human-like grasping functions. Initially, the mechanical structure of the UAHM is introduced, with a detailed exposition of its transmission mode, finger architecture, and overall configuration. Subsequently, the kinematic and static models of the UAHM are delineated, elucidating the relationship between the phalangeal contact forces, contact positions, and bending angles during both fingertip and envelope grasping.

Effect of rice storage proteins on the physicochemical properties of indica rice during after-ripening.

The processing quality of indica rice stabilizes after a period of post-harvest storage known as after-ripening, during which proteins play an important role according to our previous research. The present study investigated the effects of rice storage proteins (RSPs) on the physicochemical properties of after-ripening rice, employing protein analysis, rapid viscosity analyzer, hydration properties assessment, morphological analysis and fourier transform infrared spectroscopy (FTIR). The results indicated that the crude protein content remained relatively unchanged during after-ripening, while the band intensities of 13 kDa and 20 kDa protein subunits increased with increasing storage time.

Halogen Radical-Enabled Dearomatization of -Arylpropiolamides via Photoinduced Sequential Halogenation/Spirocyclization/Oxidation Process.

Here we report a strategy that eliminates the need for photocatalysts and external additives, which provides an operable and mild method for halogen radical-enabled dearomatization of -arylpropiolamides under an oxygen atmosphere at room temperature. The method is applicable to a wide range of substrates, extending beyond the limited scope of -methoxyl -phenylpropynamides. Furthermore, several functional synthetic intermediates and anticancer bioactive molecules were successfully derived from 3-halogenated azaspiro[4.

Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting.

Background: With the increasing impact of tuberculosis on public health, accurately predicting future tuberculosis cases is crucial for optimizing of health resources and medical service allocation. This study applies a self-attention mechanism to predict the number of tuberculosis cases, aiming to evaluate its effectiveness in forecasting.

Methods: Monthly tuberculosis case data from Changde City between 2010 and 2021 were used to construct a self-attention model, a long short-term memory (LSTM) model, and an autoregressive integrated moving average (ARIMA) model.

Novel Meta-Diamide Derivatives Bearing Triazole: Design, Synthesis, and Bioactivity.

In searching for novel insecticide lead, 20 new meta-diamide compounds containing triazole were designed and synthesized regarding cyproflanilide as lead compound. All the compounds were characterized by H NMR, C NMR, and High-resolution mass spectra (HR MS). In preliminary bioassay, we found that one of the compounds: N-(cyclopropylmethyl)-N-(5-((2,6-dibromo-4-(1,2,2,2-tetrafluoro-1-(trifluoromethyl)ethyl)phenyl)carbamoyl)-2-(1H-1,2,4-triazol-1-yl)phenyl)-6-(trifluoromethyl) nicotinamide (16a) had high activity against the target organism Plutella xylostella at 1 mg/L and against the target organism Mythimna separata at 2 mg/L.

Co-fermentation of Lactiplantibacillus and Streptococcusccus enriches the key-contribution volatile and non-volatile components of jujube juice.

Lactic acid bacteria (LAB) fermentation can enhance the quality and flavor characteristics of fruit juice. Herein, the impact of individual Lactiplantibacillus plantarum subsp. plantarum (L.

Machine Vision-Based Real-Time Monitoring of Bridge Incremental Launching Method.

With the wide application of the incremental launching method in bridges, the demand for real-time monitoring of launching displacement during bridge incremental launching construction has emerged. In this paper, we propose a machine vision-based real-time monitoring method for the forward displacement and lateral offset of bridge incremental launching in which the linear shape of the bottom surface of the girder is a straight line. The method designs a kind of cross target, and realizes efficient detection, recognition, and tracking of multiple targets during the dynamic process of beam incremental launching by training a YOLOv5 target detection model and a DeepSORT multi-target tracking model.

Effect of pre-acidification induction on the physicochemical features, myofibrillar protein microstructure, and headspace volatiles of ready-to-cook goose meat.

This study examined the impact of pre-acidification induction on the quality attributes and flavor retention of ready-to-cook (RTC) goose meat products. The results demonstrated that pre-acidification could influence the eating qualities of RTC goose meat by effectively regulating the physicochemical properties of goose myofibrillar proteins (MP) including solubility and water-holding capacity. Elevated carbonyl contents indicated an enhanced gel-forming capacity in RTC goose meat during storage, accompanied with reduced total sulfhydryl contents from enhanced protonation pretreatment and augmented lipid oxidation.

The improvement of gel properties and volatiles for frozen egg white melted assisted with ultrasound.

The variation in thawing time, deterioration behavior, secondary structure, surface hydrophobicity, and average particle size of frozen egg whites (EW) thawed with or without ultrasound were characterized to evaluate the effect of ultrasound on the gel properties and volatiles of egg white thermogel (EWG). The texture, water holding capacity, etc., gel properties and microstructure were well maintained in frozen EW thawed by ultrasound (UEW) resulted from the mitigation of deterioration behavior due to shorter melting time (reduced 91.

Multiscroll hopfield neural network with extreme multistability and its application in video encryption for IIoT.

In Industrial Internet of Things (IIoT) production and operation processes, a substantial amount of video data is generated, often containing sensitive personal and commercial information. This paper proposed three new multiscroll Hopfield neural network (MHNN) systems by utilizing an improved segmented nonlinear non-ideal magnetic-controlled memristor model for electromagnetic radiation. Through dynamical methods, the constructed neural network's multidimensional multiscroll attractors and initial offset boosting behavior are analyzed.

Evolutionary game analysis of carbon emission reduction in transportation infrastructure construction under dual regulation.

Under the dual regulation of government intervention and environmental constraints, user demand, low-carbon awareness, and the willingness of construction enterprise to reduce carbon emissions are crucial to the realization of low-carbon transportation infrastructure construction. Basing on prospect theory, this paper constructs an evolutionary game model for the government, construction enterprise, and user, explores the stabilization of the three-game players' strategy choices, and discusses the influence of key parameters on the behavior evolution of relevant players through simulation analysis. The results indicate that: the regulatory cost when the government adopts incentives or no incentives is an important factor affecting the strategy choice.

Development and validation of a nomogram for predicting early acute hydrocephalus after spontaneous intracerebral hemorrhage: a single-center retrospective study.

Acute hydrocephalus is a severe complication that may occur early after an intracerebral hemorrhage (ICH). However, clinical factors predicting the occurrence of acute hydrocephalus have rarely been studied. This study aimed to establish a nomogram model to predict early acute hydrocephalus after ICH.

OsCactin positively regulates the drought stress response in rice.

OsCactinpositively regulates drought tolerance in rice. OsCactin is regulated by OsTRAB1 and interacts with OsDi19 proteins to defend against drought stress. Drought stress significantly limits plant growth and production.

Differential contribution of Cu and OH to the formation of N-carboxymethyllysine and N-carboxyethyllysine in preserved egg white during pickling.

In this study, the relationship between advanced glycosylation end products (AGEs) in preserved egg white (PEW) with protein oxidation and precursors induced by OH and Cu were performed to clarify the differential contribution of OH and Cu on the formation of AGEs during pickling. It was found that AGEs were more easily formed in PEW rather than yolk, and the accumulation of N-carboxymethyllysine (CML) could be promoted through protein oxidation related to carbonyl compounds, tryptophan induced by Cu at early stage, while carbonyl compounds were more conducive to form N-carboxyethyllysine (CEL) under synergistic action of Cu and OH. At later period, Schiff base promoted the formation of CEL and CML in the presence of Cu.

Multifunctional Ultrathin TiCT MXene@CuCoO /PE Separator for Ultra-High-Energy-Density and Large-Capacity Lithium-Sulfur Pouch Cells.

The shuttling of lithium polysulfides (LiPSs), sluggish reaction kinetics, and uncontrolled lithium deposition/stripping remain the main challenges in lithium-sulfur batteries (LSBs), which are aggravated under practical working conditions, i.e., high sulfur loading and lean electrolyte in large-capacity pouch cells.

Innovative fabrication of eco-friendly bio-based foam from sugarcane bagasse and sodium alginate with enhanced properties and sustainable applications for plastic replacement.

Foam materials possess notable features, including low density, high porosity, low thermal conductivity, and high impact resistance, making them extensively used in various sectors such as construction, transportation, water treatment, and packaging. However, the majority of commercial foam materials are derived from synthetic polymers based on fossil fuels, which raises concerns regarding health and ecology. In this work, we present a straightforward and scalable approach (physical cross-linking and common pressure drying) for fabricating a bio-based foam material using pulp fibers sourced from discarded sugarcane bagasse and sodium alginate extracted from seaweed.

Dual Ce@g-CN-Photoredox/Chlorine Catalysis: Cross-Dehydrogenative Coupling of -Heteroarenes and Alkanes/Ethers with H Evolution.

With Ce@g-CN as a heterogeneous semiconductor photocatalyst, BuNCl as both a redox catalyst and a hydrogen atom transfer catalyst, the first example of semiheterogeneous photocatalytic cross-dehydrogenative coupling of -heteroarenes and alkanes/ethers with H evolution was developed. Both a diverse array of high-value alkylated -heteroarenes and clean H can be efficiently coproduced under sacrificial reagent- and chemical oxidant/reductant-free conditions. Combining both the reversible Ce/Ce redox pair and the reversible Cl̅/Cl ̇ redox pair can considerably improve the photocatalytic efficiency.

Study of Five-Hundred-Meter Aperture Spherical Telescope Feed Cabin Time-Series Prediction Studies Based on Long Short-Term Memory-Self-Attention.

The Five-hundred-meter Aperture Spherical Telescope (FAST), as the world's most sensitive single-dish radio telescope, necessitates highly accurate positioning of its feed cabin to utilize its full observational potential. Traditional positioning methods that rely on GNSS and IMU, integrated with TS devices, but the GNSS and TS devices are vulnerable to other signal and environmental disruptions, which can significantly diminish position accuracy and even cause observation to stop. To address these challenges, this study introduces a novel time-series prediction model that integrates Long Short-Term Memory (LSTM) networks with a Self-Attention mechanism.

The Physicochemical Properties and Structure of Mung Bean Starch Fermented by .

Understanding the relationship between gel formation and the hierarchical structure of mung bean starch fermented by has potential value for its green modification and quality improvement. The variations in characteristics, including gelation characteristics, starch chain, and the molecular order degree of mung bean starch fermented by different , were compared. The results show that in the gelation process, starch began to disintegrate at 65 °C, indicating a critical temperature for structural changes.

High-current decoupled hydrogen and oxygen evolution via nickel-cobalt based redox mediators and bifunctional catalyst of 3D printing substrates.

The conversion of renewable energy sources with relatively large energy fluctuations into hydrogen represents a crucial aspect of energy storage. Nevertheless, the direct water electrolysis process is known to require excessive instantaneous energy consumption and high cost. Two-step alkaline water electrolysis is regarded as a secure and effective method of generating hydrogen from renewable energy sources when compared to direct water electrolysis.

Noisy Dueling Double Deep Q-Network algorithm for autonomous underwater vehicle path planning.

How to improve the success rate of autonomous underwater vehicle (AUV) path planning and reduce travel time as much as possible is a very challenging and crucial problem in the practical applications of AUV in the complex ocean current environment. Traditional reinforcement learning algorithms lack exploration of the environment, and the strategies learned by the agent may not generalize well to other different environments. To address these challenges, we propose a novel AUV path planning algorithm named the Noisy Dueling Double Deep Q-Network (ND3QN) algorithm by modifying the reward function and introducing a noisy network, which generalizes the traditional D3QN algorithm.