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[Display omitted] • The contribution of autophagy on stem cell function and oral tissue regeneration. • Molecular mechanisms involved in autophagy during oral tissue regeneration. • The diverse roles of autophagy in different oral tissues. • Possible autophagy regulation methods to enhance oral tissue regeneration. Oral health is of fundamental importance to maintain systemic health in humans. Stem cell-based oral tissue regeneration is a promising strategy to achieve the recovery of impaired oral tissue. As a highly conserved process of lysosomal degradation, autophagy induction regulates stem cell function physiologically and pathologically. Autophagy activation can serve as a cytoprotective mechanism in stressful environments, while insufficient or over-activation may also lead to cell function dysregulation and cell death. This review focuses on the effects of autophagy on stem cell function and oral tissue regeneration, with particular emphasis on diverse roles of autophagy in different oral tissues, including periodontal tissue, bone tissue, dentin pulp tissue, oral mucosa, salivary gland, maxillofacial muscle, temporomandibular joint, etc. Additionally, this review introduces the molecular mechanisms involved in autophagy during the regeneration of different parts of oral tissue, and how autophagy can be regulated by small molecule drugs, biomaterials, exosomes/RNAs or other specific treatments. Finally, this review discusses new perspectives for autophagy manipulation and oral tissue regeneration. Overall, this review emphasizes the contribution of autophagy to oral tissue regeneration and highlights the possible approaches for regulating autophagy to promote the regeneration of human oral tissue. [ABSTRACT FROM AUTHOR]

Nuclear receptors are ligand‐regulated transcription factors that play important role in regulating insect metamorphosis through the ecdysone signalling pathway. In this study, we investigated the nuclear receptor HR38 gene in Bombyx mori (BmHR38), belonging to the NR4A subfamily. BmHR38 mRNA was highly expressed in the head and epidermis at the pupal stage. The expression of the BmHR38 gene was influenced by different doses of 20E at different times. A BmHR38 deletion mutant silkworm was generated using the clustered regularly interspaced short palindromic repeat (CRISPR)/Cas9 system. Compared with the wild‐type B. mori, the BmHR38 deletion mutant resulted in abnormal development during the pupal stage, leading to either failed eclosion or the formation of abnormal adult wings. After silencing of BmHR38 in the pupal stage, the phenotype of pupa or moth had no significant change, but it did result in reduced egg production. The mRNA levels of USP, E75 and E74 were significantly increased, while the transcript levels of FTZ‐F1 were suppressed after RNA interference. Furthermore, interference with BmHR38 also inhibited the expressions of chitin metabolism genes, including Chs1, Chs2, Chi, Chi‐h and CDA. Our results suggest that BmHR38 is essential for pupal development and pupa–adult metamorphosis in B. mori by regulating the expression of NRs and chitin metabolism genes. [ABSTRACT FROM AUTHOR]

BACKGROUND: Soy protein is the only full plant protein that is comparable to animal protein. Soy whey contains a variety of nutrients including isoflavones and oligosaccharides. Additionally, different strains have profound influence on functional metabolism. Most prospective studies used mixed strain fermented yogurt, but few studies on single strain fermented yogurt. The present study aimed to ferment nutritious and healthy soy‐based yogurt using a single strain and to provide technical support for the reuse of soy whey. RESULTS: Streptococcus salivarius subsp. thermophilus HCS07‐002, Bifidobacterium animalis subsp. lactis HCS04‐001 and Lactiplantibacillus plantarum HCS03‐084 had strong growth and metabolic activities. Bifidobacterium animalis subsp. lactis HCS04‐001 fermentation raised the texture and rheological properties of yogurt and enriched the flavor substances in the yogurt, resulting in a good quality soy‐based yogurt. The contents of arginine, glutamic and proline were greatly affected by the fermentation of different strains. The fermentation of B. animalis subsp. lactis HCS04‐001 was beneficial to the enrichment of soy isoflavone and equol in yogurt, and enhanced antioxidant activity of yogurt. CONCLUSION: Our findings indicated that yogurt fermented with B. animalis subsp. lactis HCS04‐001 had the best sensory and nutritional properties, which provides valuable insights into the selection of suitable strains to improve the quality and nutritional value of plant yogurt. © 2023 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

[Display omitted] The adsorption energy of oxygen-containing intermediates for the oxygen evolution reaction (OER) electrocatalysts plays a key role on their electrocatalytic performances. Rational optimization and regulation of the binding energy of intermediates can effectively improve the catalytic activities. Herein, the binding strength of Co phosphate to *OH was weakened by generating lattice tensile strain via Mn replacement, which modulated the electronic structure and optimized the reactive intermediates adsorption with active sites. The tensile-strained lattice structure and stretched interatomic distance were confirmed by X-ray diffraction and extended X-ray absorption fine structure (EXAFS) spectra measurements. The as-obtained Mn-doped Co phosphate exhibits excellent OER activity with an overpotential of 335 mV at 10 mA cm−2, which is much higher than pristine Co phosphate. In-situ Raman spectra and methanol oxidation reaction experiments demonstrated that Mn-doped Co phosphate with lattice tensile strain shows optimized *OH adsorption strength, and is favorable to structure reconstruction and form highly active Co oxyhydroxide intermediate during OER process. Our work provides insight into the effects of the lattice strain on the OER activity from the standpoint of intermediate adsorption and structure transformation. [ABSTRACT FROM AUTHOR]

Plant-based beverages have become a hot spot in the development of functional foods with the increasing demand for nutrition and health food in recent years. However, common plant-based beverages have been plagued with poor sensory, flavor and stability. To solve these problems, fermentation of beneficial active strains (lactobacillus and yeasts) and non-thermal processing techniques were studied. Fermentation and non-thermal processing technologies had significant advantages in improving the flavor and quality of plant-based beverages and in retaining their nutritional properties, respectively. Therefore, this paper provided an overview of plant-based fermented beverages and emerging non-thermal processing technologies. [ABSTRACT FROM AUTHOR]

This paper proposes a diffusive predator–prey model with Allee effect, time delay and anti-predator behavior. First, the existence and stability of all equilibria are analyzed and the conditions for the appearance of the Hopf bifurcation are studied. Using the normal form and center manifold theory, the formulas which can determine the direction, period and stability of Hopf bifurcation are obtained. Numerical simulations show that the Allee effect can determine the survival abundance of the prey and predator populations, and anti-predator behavior can greatly improve the stability of the coexisting equilibrium. [ABSTRACT FROM AUTHOR]

Specialty coffee is increasingly produced and consumed as part of routine life in many cities in modern China, but the social and cultural shifts it has engendered yet to be systematically examined. By examining the intersections between social media and the operations of independent Chinese coffeehouses in the field of taste, this paper puts forward the idea of new taste among Chinese millennials, which comprises individual subjectivity, heterogeneous social relationships, and forms of class distinction. Using taste-oriented keyword searches on WeChat official accounts, 20 articles were returned and analyzed in terms of their textural and visual orientations to examine the processes underlying how taste is influenced in the consumption of specialty coffee in China. Findings suggest the importance of taste makers in this process, from routine creation of aesthetic ambience in the coffeehouses to the construction of affective taste spaces online, and the establishment of taste cycles from online to offline, which all underpin class privilege. Moreover, the emergence of an 'urban café community' appears to be characterized by specific forms of belonging resulting from a productive effect of the interplay between independent coffeehouses and consumers in everyday urban life in which a set of aesthetic boundaries reside. Second, these digital consumers distinguish themselves socially by positioning themselves as having a cosmopolitan taste grounded in coffee appreciation instead of merely consuming coffee for physiological benefits. These findings extend taste propositions through engagement of Chinese digital millennial consumers to uncover the underlying cultural classifications. [ABSTRACT FROM AUTHOR]

Fouling is one of the most challenging issues faced by membrane technology. One possible approach to address membrane fouling is incorporating hydrophilic materials into the membrane matrix. Graphene oxide (GO) can be a potential candidate due to its hydrophilicity, if its cost could be significantly reduced. In this study, a GO‐polysulfone (PSF) composite membrane is fabricated with a thin GO‐PSF active layer and a PSF substrate. The obtained membrane shows good anti‐fouling property in real sewage system, compared with the pristine PSF membrane, and the flux recovery ratio is enhanced by 20%–30%. In addition, the antibacterial property of GO‐PSF membrane to Escherichia coli is enhanced. The work provides a guidance to improve the performance membranes and reduce the cost. [ABSTRACT FROM AUTHOR]

A newly emerged and attractive strategy to obtain afterglow is the use of the Förster‐resonance energy transfer (FRET) from an energy donor with room‐temperature phosphorescence (RTP) to an energy acceptor with fluorescence. Due to the transfer of energy between molecules with different emissions, it is possible to develop the ultralong and long‐wavelength afterglow materials. However, there are few reports on red afterglow materials with emission wavelengths up to 650 nm because of the difficulty of accurate design of chemical structures. Herein, a series of red afterglow materials with emission wavelengths of 650 nm are constructed using polyvinylpyrrolidone as the host, multisubstituted isoquinolines as the guests, and triphenylamine‐based dicyanomethylene‐4H‐pyran derivative as the energy acceptor. Two‐component host‐guest materials exhibit yellow‐green, yellow, and orange RTP with delayed lifetimes of 205‐301 ms and phosphorescence quantum yields of 5.3‐13.2%, which originate from the guests in a rigid microenvironment provided by the host polymer. Three‐component doped materials exhibit red afterglow with a delayed lifetime of 11‐83 ms and an emission quantum yield of 16.2‐22.1%, which is determined to be delayed fluorescence caused by triplet‐to‐singlet FRET from isoquinolines to dicyanomethylene‐4H‐pyran derivative. This work provides inspiration for the development of doped materials with long‐wavelength room‐temperature afterglow. [ABSTRACT FROM AUTHOR]

BACKGROUND: Hempseeds (Cannabis sativa L.) are rich in easily digestible proteins, fats, polyunsaturated fatty acids, and insoluble fiber and are of high nutritional value. Probiotics have been found to relieve constipation, which solves a health problem that constantly troubles a lot of people. Therefore, the changes in the metabolites of fermented yogurt with or without 10% defatted hempseed meal (10% SHY or 0% SHY respectively) were studied and their laxative effects were examined through animal experiments. RESULTS: Amino acids and peptides, terpene glycosides, carbohydrates, lineolic acids, and fatty acids were found to be the major contributors to the discrimination of the metabolic profile between 0% SHY and 10% SHY. The differentially accumulated metabolites may lead to the discrepancy in the yogurt's functionality. Animal experiments showed that the 10% SHY treatment prevented constipation by increasing feces number, fecal water content, and small intestinal transit rate and reducing inflammatory injury in loperamide‐induced constipated rats. Further analysis of the gut microbiota revealed that 10% SHY gavage increased the relative abundances of the Lactobacillus, Allobaculum, Turicibacter, Oscillibacter, Ruminococcus, and Phascolarctobacterium genera in the constipated rats, whereas Akkermansia, Clostridium_XIVa, Bacteroides, Staphylococcus, and Clostridium_IV were decreased. The combination of defatted hempseed meal and probiotics was found to be effective in relieving constipation, probably due to the enriched amino acids and peptides, such as Thr‐Leu and lysinoalanine through correlation analysis. CONCLUSION: Our findings indicated that defatted hempseed meal in yogurt altered the metabolic profile and effectively alleviated constipation in rats, which is a promising therapeutic candidate for constipation. © 2023 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Summary: In this work, the structural characteristics, physicochemical properties, and emulsifying properties of soybean hull suspension treated by high pressure homogenisation (HPH) were investigated. HPH significantly reduced the average particle size of pre‐ground soybean hulls (from 125.80 μm to 37.27 μm) and changed the shape of the particles from an irregular block‐like structure to a multi‐branched flake‐like structure. The resulting soybean hull particles increased water‐ and oil‐holding capacities (WHC and OHC), and improved particle wettability. Moreover, the viscosity and emulsifying properties of soybean hull suspension increased with increased homogenisation cycles. Oil/water (O/W) emulsions prepared with aqueous soybean hull suspensions of up to 2% (w/v) were resistant to emulsion coalescence, the droplet size was <10 μm and did not change significantly during 30 days of storage. The rheological measurements showed that the emulsions had predominantly gel‐like characteristics. These findings indicated that soybean hulls treated with HPH had good emulsifying and stabilising properties for O/W emulsions, which provided practical guidance on the high value‐added utilisation of soybean hull. [ABSTRACT FROM AUTHOR]

In this study, the commercial bacteria Danisco and Bifidobacterium lactis were used to ferment soy yogurt, and then the quality of yogurt and the number of active probiotics in yogurt during storage were investigated. The results showed that the total number of viable bacteria in soy yogurt increased first and then decreased, but all of them met the standard for the number of viable bacteria in probiotic foods. The content of protein, lipid, and total sugar in soy yogurt decreased gradually with the extension of storage time. The texture, water holding capacity, and rheological properties of soy yogurt were improved within 0–10 days, and there was no significant change after 15 days. However, brightness and whiteness of yogurt were significantly reduced. Based on realizing the reuse of soy whey, this study provided a theoretical basis for the research of the shelf life of soy yogurt. Practical Application: This study developed a soy yogurt with good quality and provided a theoretical basis for the study of the shelf life of soy yogurt. In addition, some technical support was provided for the reuse of soy whey. [ABSTRACT FROM AUTHOR]

A series of new 8-benzyloxyisoquinoline derivatives are designed and synthesized based on the 4H-pyran chemistry. These compounds have twisted molecular conformations and loose packing modes according to their crystal structures, and thus exhibit outstanding dual-state emissions. Importantly, using cheap and easily available polymethyl methacrylate (PMMA) as the host molecule and the isoquinoline derivatives as the guest molecules, the resultant two-component doped materials show green or orange room-temperature phosphorescence (RTP) activities with delayed lifetimes of 72–106 ms, which originate from the guest molecule through the suppression of non-radiative transitions of excited triplet excitons by the rigid microenvironment provided by the PMMA polymer. This result provides a valuable reference for developing isoquinoline-based solid-state luminescent materials with dual-state emissions and RTP properties. [ABSTRACT FROM AUTHOR]

Enzymatic interesterification (EIE) of beef tallow (BT) blended with soybean oil (SO), peanut oil (PO) and canola oil (CO) in different proportions were analyzed in terms of the fatty acid compositions, thermal properties (melting and crystallization behaviors), rheological properties, hardness, crystal, and microstructure to achieve their sufficient utilization. The content of saturated fatty acids in all interesterified oils (IOs) decreased gradually with the increase of plant oil content in base stock. The higher the proportion of plant oil in the base stock, the lower the enthalpy of IOs. All IOs were in the solid-like state, and the hardness of all IOs met the requirements of traditional plastic oil. All IOs were mainly in α and β′ crystal forms and can be used as basic stock for special oils. [ABSTRACT FROM AUTHOR]

Herein, the relationship between vacancy concentration and electrocatalytic water splitting performance has been investigated. The CoS1.25Se0.75@NC possesses the largest vacancy concentration as well as the optimal electrocatalytic performance. [Display omitted] Anion substitution is a valid strategy to modulate the active sites of the transition metal dichalcogenides (TMDs). Herein, a series of cobalt sulfoselenide nanomeshes (CoS 2(1-x) Se 2x @NC) were synthesized by calcining S/Se power with ultrathin metal–organic framework (MOFs) nanosheets. The vacancy concentration of CoS 2(1-x) Se 2x @NC could be adjusted through changing the ratio of S/Se precursor. Interestingly, CoS1.25Se0.75@NC electrocatalyst possesses the largest vacancy concentration as well as the optimal electrocatalytic performance. CoS 1.25 Se 0.75 @NC delivers an overpotential as low as 134 mV for hydrogen evolution reaction (HER) and 270 mV for oxygen evolution reaction (OER) at the current density of 10 mA cm -2, respectively. Furthermore, CoS 1.25 Se 0.75 @NC affords a low cell voltage of 1.67 V (at 10 mA cm−2) and outstanding cycling stability for overall water splitting reaction (more than 55 h). For HER process, theoretical calculations prove that anion vacancy not only lower the free energy barrier of H 2 O dissociation step but also favor the desorption step of intermediate H*. For OER process, the anion vacancies could modulate the adsorption/desorption free energy of oxygen-containing intermediates. The present work demonstrates a practical approach to modulate the vacancy concentration of cobalt sulfoselenide and provides new ideas for design of efficient non-metal electrocatalysts. [ABSTRACT FROM AUTHOR]

Cisplatin is one of the most effective chemotherapy drugs and is widely used for cancer treatment. However, its clinical use is limited by nephrotoxicity. Emerging findings suggested that both ferroptosis and mitochondrial dysfunction mediate cisplatin-induced nephrotoxicity. In the current study, a novel 3-phenylglutaric acid derivative 5-[[2-(4-methoxyphenoxy)-5-(trifluoromethyl)phenyl]amino]-5-oxo-3-phenylpentanoic acid (referred to as 84-B10) was found to play a protective role in cisplatin-induced acute kidney injury with no tumor promoting effects. A genome-wide transcriptome analysis indicated that the protective effect of 84-B10 might be dependent on antagonizing ferroptosis. In accordance, lipid peroxide accumulation and downregulation of key ferroptosis suppressors were reversed using 84-B10 treatment both in vivo and in vitro. In addition, 84-B10 inhibited cisplatin-induced mitochondrial damage and mitochondrial reactive oxygen species (mtROS) production and restored superoxide dismutases (SODs). Furthermore, 84-B10 showed similar therapeutic effects to MnTBAP (a cell-permeable SOD mimetic) in eliminating mtROS, restoring mitochondrial homeostasis, and inhibiting ferroptosis under cisplatin challenge. Comparable effects of 84-B10 and liproxstatin-1 in ameliorating cisplatin-induced ferroptosis were observed. However, liproxstatin-1 failed to prevent mitochondrial dysfunction. These data indicated that mtROS might act upstream of cisplatin-induced tubular ferroptosis. Taken together, the novel 3-phenylglutaric acid derivative 84-B10 showed therapeutic potential against cisplatin-induced nephrotoxicity possibly by restoring mitochondria homeostasis and inhibiting mtROS-induced ferroptosis, which suggests the potential use of 84-B10 in preventing and treating cisplatin-nephrotoxicity. [Display omitted] • A novel 3-phenylglutaric acid derivative 84-B10 ameliorated cisplatin-induced AKI. • 84-B10 inhibited cisplatin induced tubular ferroptosis. • 84-B10 attenuated cisplatin-induced mitochondrial damage and oxidative stress. • Mitochondrial ROS triggered ferroptosis in cisplatin-induced AKI. [ABSTRACT FROM AUTHOR]

A novel doped system based on quaternary ammonium salts as hosts was established. Interestingly, it is the guest-activated hosts that emit room temperature phosphorescence, rather than the host-assisted guests in traditional doped systems. [ABSTRACT FROM AUTHOR]

Bile acid metabolites have been increasingly recognized as pleiotropic signaling molecules that regulate cardiovascular functions, but their role in mesenchymal stromal cells (MSC)‐based therapy has never been investigated. It is found that overexpression of farnesoid X receptor (FXR), a main receptor for bile acids, improves the retention and cardioprotection of adipose tissue‐derived MSC (ADSC) administered by intramyocardial injection in mice with myocardial infarction (MI), which shows enhanced antiapoptotic, proangiogenic, and antifibrotic effects. RNA sequencing, LC‐MS/MS, and loss‐of‐function studies reveal that FXR overexpression promotes ADSC paracrine angiogenesis via Angptl4. FXR overexpression improves ADSC survival in vivo but fails in vitro. By performing bile acid‐targeted metabolomics using ischemic heart tissue, 19 bile acids are identified. Among them, cholic acid and deoxycholic acid significantly increase Angptl4 secretion from ADSC overexpressing FXR and further improve their proangiogenic capability. Moreover, ADSC overexpressing FXR shows significantly lower apoptosis by upregulating Nqo‐1 expression only in the presence of FXR ligands. Retinoid X receptor α is identified as a coactivator of FXR. It is first demonstrated that there is a bile acid pool in the myocardial microenvironment. Targeting the bile acid‐FXR axis may be a novel strategy for improving the curative effect of MSC‐based therapy for MI. [ABSTRACT FROM AUTHOR]

Herein, we present the divergent syntheses of α‐arylacylamides and oxindoles via mechanoredox chemistry by using easily accessible α‐bromo N‐sulfonyl amides as starting materials. Our system consists of a catalytic amount of CuII precatalyst and piezoelectric materials. The highly polarized BaTiO3 or PbTiO3 under mechanical agitation can act as an electron donor to realize the recycling of CuII and CuI. Control experiments and density functional theory calculations have been performed to support the proposed mechanistic rationale for the cascade reactions. [ABSTRACT FROM AUTHOR]

Herein, we present the divergent syntheses of α‐arylacylamides and oxindoles via mechanoredox chemistry by using easily accessible α‐bromo N‐sulfonyl amides as starting materials. Our system consists of a catalytic amount of CuII precatalyst and piezoelectric materials. The highly polarized BaTiO3 or PbTiO3 under mechanical agitation can act as an electron donor to realize the recycling of CuII and CuI. Control experiments and density functional theory calculations have been performed to support the proposed mechanistic rationale for the cascade reactions. [ABSTRACT FROM AUTHOR]

The outbreak of COVID-19 has caused unprecedented decline of ridership in urban rail transit and changed passenger travel habits, which greatly challenges subway operations. Therefore, it is necessary to better understand and quantify the impact of COVID-19 on passenger travel behavior, specifically route choice. Thus, we collected automatic fare collection data and 2060 random samples through a web-based survey in Beijing on passengers' route choice behavior during the COVID-19 pandemic. This study utilizes an initial dataset to conduct an analysis and introduces an improved Generalized Random Regret Minimization model (GRRM) aimed at understanding passengers' route choice adjustments in response to COVID-19 guidance information. This improved GRRM accounts for two decision-making criteria, namely, maximum utility and minimum regret, and considers passenger heterogeneity. This marks the first instance of capturing the heterogeneity shift effect in route choice perception during the COVID-19 pandemic. The results show that the improved model has the best fitting result with adjusted Rho square of 0.536, demonstrating that the attributes related to guidance information (i.e., information push/time to receive traffic information/perceived route COVID-19 risk) indeed enhance the model's fit. Furthermore, the research employs Value of Information Time to quantify the preference of passengers for information in various groups. Compared with the usual scenario, women, young and non-commuter passengers are more likely to receive an early information update to plan their trips in advance. Finally, the perceived risk of COVID-19 on routes is examined in relation to passengers' personal attributes. It is observed that the elderly and students exhibit heightened sensitivity to the epidemic at all stages, while young passengers and commuters are particularly sensitive only during the small-scale epidemic. These findings offer valuable insights for managers to implement targeted strategies, thereby enhancing passenger flow control and encouraging increased subway ridership. [ABSTRACT FROM AUTHOR]

How to combine science and technology with the humanities in the research on ancient cities to reveal ancient peoples' urban planning thoughts is worthy of in-depth study. The capitals of the Western Han dynasty as well as the Sui and Tang dynasties were some of the greatest cities in the world at the time. This paper takes them as its subjects and puts forward a method to study the spatial relationship between ancient cities and the natural environment by combining spatial information technology and cultural analysis. Firstly, satellite images, elevation maps, urban ichnographies, and literature materials were collected and sorted to deeply understand the cultural thoughts involved in ancient urban planning; based on this, key element points were marked and rechecked on the spot, and the above drawings were accurately superimposed by GIS technology to form a geographic information base that integrated multisource information. Then, Python was used to construct a "decision model of spatial relationship between urban elements and natural elements", and rules as well as parameters were set through man–machine collaboration. The decision model was used to test the geographic information base, and the information of strong correlations between urban objects and natural objects was outputted. The drawings were exported after screening, and a visual expression was realized with Illustrator software. The research results indicated that this analysis method was feasible, effective, and easy to promote. The new archaeological discoveries included eight important line segments with a 9:6 proportional relationship (which represents the balance of Yin and Yang) and two important line segments with a 9:5 proportional relationship (which represents the supreme imperial power) in the capitals of the Western Han dynasty as well as the Sui and Tang dynasties, and 16 contraposition lines in a positive direction or oblique 45° direction (which reflects the close relationship between urban elements and natural elements). We consider that the two capitals were intentionally closely related to natural environments such as mountain peaks and valley entrances in the planning stage, and that proportions and scales with profound humanistic meaning were selected. The capital of the Sui and Tang dynasties was specially aligned with the capital of the Western Han dynasty in space. These characteristics embody ancient Chinese Confucian cultural thoughts such as the "integration of yang and yin", "harmony between nature and humans", the "supremacy of emperors", and the "use of numbers and shapes to convey meaning". [ABSTRACT FROM AUTHOR]

Objective: This study introduces the concept of intersubjectivity management in medical interpreting and identifies relevant interactional strategies employed by the interpreter, also explores their effectiveness in facilitating positive clinician-patient communication.Methods: We used conversation analysis (CA) to analyse 27 video recordings of interpreter-mediated dental visits, participants involve English-speaking dentists, Cantonese as the first language (L1) patients and bilingual dental surgery assistants (DSA) who also play the role of ad hoc interpreters.Results: The DSA-as-interpreter manages intersubjectivity for the dentist and patient through interactional strategies, such as reformulating action types, redesigning contents and information capacity, summarising and concentrating turns, constantly monitoring the situation and eliciting spoken or unspoken expressions that are medically relevant from both sides to validate them. The strategies effectively enabled and enhanced the mutual understanding and interpersonal alignment between the dentist and patient. More importantly, the DSA constantly orients to patient-centred communication.Conclusion: Although not professionally trained for interpreting, the DSA-as-interpreters demonstrated discursive strategies. The strategies evidently facilitated positive dentist-patient communication and relationships.Practice Implications: The conceptualisation and significant strategies demonstrated by the DSA-as-interpreters could potentially inform the solution of enhancing multilingual health communication in clinical staff training. [ABSTRACT FROM AUTHOR]

The effects of different probiotics on the texture, rheological properties, microstructure, and water distribution of yogurt fermented with soy powder, soy isolate protein powder, soy umbilical powder, and soy whey as the main raw materials were studied. The soy materials‐based yogurt fermented by Danisco mixed probiotic reached the end of fermentation after 4 h, which significantly shortened the fermentation time compared with other probiotic combinations. The fermentation with Danisco mixed probiotic and Kefir mixed probiotic respectively resulted in good texture and a denser and more homogeneous microstructure, which was consistent with the sensory evaluation results. Both fermentations had a high water holding capacity of 90.92% and 78.30%, respectively, in agreement with the results of moisture distribution tests. However, the elastic and viscous behaviors were weaker at certain shear frequency. This study achieved a high value‐added utilization of soy whey and the development of a new soy materials‐based yogurt that met the consumption needs of people with lactose intolerance and high cholesterol. Practical Application: In this study, high value‐added utilization of soy whey was realized, which solved the problems of resource waste and environmental pollution. Meanwhile, the research and development of soy materials‐based yogurt provided another nutritional and healthy consumption demand for lactose intolerant people. [ABSTRACT FROM AUTHOR]

The accurate prediction of short-term passenger flow is of high importance to efficiently manage the passenger flow of metro systems and adjust timetable accordingly. However, the existing methods of passenger flow prediction cannot achieve adequate accurate results due to its complex nonlinear spatiotemporal characteristics. To improve the accuracy of short-term passenger flow prediction, this paper proposes a deep learning model based on a spatiotemporal framework. Firstly, the graph convolutional network, which incorporates prior domain knowledge (such as travel time and origin–destination demand), is used to extract spatial features of passenger flow. Secondly, the attention mechanism is integrated into the gated recurrent unit to extract the time correlation of passenger flow. Finally, external factors are introduced to capture their impact on passenger flow as well. A case study of the Beijing Subway system is illustrated to verify the performance of the proposed model. The results show that compared with the existing models, the proposed model achieves the highest prediction accuracy and strong robustness. Furthermore, we demonstrate that the adjacency matrix based on travel time outperforms the one based on OD demand, especially during evening peak hours. In addition, it is also verified that the attention mechanism and external factors can improve the prediction performance of the proposed model. [ABSTRACT FROM AUTHOR]

To provide personalized and precise guidance services to subway passengers, a route recommendation method for frequent subway riders based on passenger preference ranking is proposed. Firstly, a data-driven analysis method of travel preference is proposed to identify the travel preference of frequent passengers in different origin-destinations (ODs) and time periods. Secondly, a route recommendation model of dictionary order preference based on just noticeable difference (JND) is proposed to solve the problem of different passenger perception in route attributes. Thirdly, the model of depth deterministic strategy gradient (DDPG) is proposed to consider dynamic parameters of JND. A case study of Guangzhou Metro is illustrated to verify the accuracy of the route recommendation model. The results show that the individual passenger recommendation in the proposed method is more accurate than the traditional logit model and the JND model without parameter optimization by 30% and 20%. The group recommendation in the proposed method is more accurate than the comparative models by 37% and 11%, respectively. Specifically, the accuracy of this method in group recommendation fluctuates less, and its accuracy variance is much smaller than the traditional logit model. Therefore, the method proposed in this study performs better in reflecting personalized need of passenger travel. [ABSTRACT FROM AUTHOR]

• Spatiotemporal features of passenger flow under station closures is considered. • Residual time series due to station closures is checked and corrected. • The changes in passenger flow during station closures is captured. • EDFM-SVR hybrid approach outperforms regular approach. Passenger flow prediction is critical for subway managers to efficiently organize passenger flow and assign capacity resources. Station closures caused by economic conferences and political events alter the topology of subway networks, resulting in large-scale passenger flows with irregular trends. Thus, predicting subway passenger flow during station closures is a challenging task. In this study, we propose a hybrid model for predicting short-term passenger flow during subway station closures. First, a spatiotemporal ensemble prediction model is used to capture the temporal characteristics of passenger flow at each station and the spatial characteristics of passenger flow among distinct groups of stations. Then, to address the effects of station closures, a support vector regression method is devised to investigate the residual time series from the ensemble model. Finally, a case study of Beijing subway is examined to validate the performance of the proposed model. The results indicate that the proposed model is superior to other state-of-the-art models in terms of accuracy and reliability in estimating the effects of station closures. Furthermore, the residuals from station closures are thoroughly converted into white noise and the proposed model is more interpretable than those in previous studies. [ABSTRACT FROM AUTHOR]

Symbiotic radio (SR) is a promising technology for energy- and spectrum-efficient wireless communication, which exploits passive communication for Internet-of-Things (IoT) transmission and achieves a mutualistic spectrum sharing between the passive and active transmissions. In this paper, we study an reconfigurable intelligent surface (RIS) empowered symbiotic radio over a broadcasting system, i.e., a base station (BS) broadcasts signals to multiple primary receivers (PRs) under the assistance of an RIS, while the RIS also transmits information to an IoT receiver (IR) by riding over the broadcasting signals. We formulate a problem to minimize the BS’s transmit power by jointly optimizing the BS’s active precoding and the RIS’s passive beamforming, under the signal-to-noise-ratio constraints of the primary and IoT transmissions. However, the problem is challenging to be solved optimally, since the variables are coupled and the constraints are non-convex. An iterative algorithm based on block coordinated descent (BCD) and semidefinite relaxation (SDR) techniques is first proposed, and its convergence together with complexity are analyzed. Then, to tackle the problem of high computational complexity caused by SDR technique, we further propose an alternative algorithm based on generalized power method (GPM) technique. Simulation results validate that the proposed system outperforms the traditional broadcasting system without RIS. The GPM-based algorithm achieves nearly the same transmit power performance as SDR-based algorithm, with a significantly reduced computational complexity. [ABSTRACT FROM AUTHOR]

Currently, COVID‐19 is spreading in a large scale while no efficient vaccine has been produced. A high‐effective drug for COVID‐19 is very necessary now. We established a satisfied quantitative structure–activity relationship model by gene expression programming to predict the IC50 value of natural compounds. A total of 27 natural products were optimized by heuristic method in CODESSA program to build a liner model. Based on it, only two descriptors were selected and utilized to build a nonlinear model in gene expression programming. The square of correlation coefficient and s2 of heuristic method were 0.80 and 0.10, respectively. In gene expression programming, the square of correlation coefficient and mean square error for training set were 0.91 and 0.04. The square of correlation coefficient and mean square error for test set are 0.86 and 0.1. This nonlinear model has stronger predictive ability to develop the targeted drugs of COVID‐19. [ABSTRACT FROM AUTHOR]

This paper addresses the problem of passenger flow control in a multi-line subway network during peak hours. A new multi-station coordinated passenger flow control model is proposed to simultaneously adjust the number of inbound and transfer passengers entering multiple stations or lines. The implementation of passenger flow control governs the redundant passengers to queue at given facilities, which is similar to ramp metering that regulates the number of vehicles entering a highway segment. The proposed model is a bi-level programming, whose upper level aims to optimize the system performance with different passenger flow control strategies, while the lower level is a logit-based stochastic user equilibrium assignment problem under a given strategy, considering passenger flow evolution, dynamic path cost, and route choice. An algorithm, integrating the method of successive averages with genetic algorithm, is developed to solve the model. A real-world case study is conducted to examine the validity. [ABSTRACT FROM AUTHOR]

BACKGROUND: Plant‐based yogurts are suffering from the common problems, such as an unattractive color, stratified texture state and rough taste. Therefore, it is urgent to develop a novel processing method to improve the quality and extend the storage life of hempseed yogurt. In the present study, hempseed yogurt was microfluidized prior to fermentation. The effects of microfluidization on microstructure, particle size, mechanical properties, sensory acceptability, variations in pH and titratable acidity, lactic acid bacteria (LAB) counts, and stability of hempseed yogurt during 20 days of storage were investigated. RESULTS: Microfluidization contributed to the production of hempseed yogurt as a result of the better physicochemical properties compared to normal homogenization. Specifically, microfluidization reduced the particle size of hempseed yogurt with a uniform particle distribution, increased water holding capacity, and improved texture and rheological properties. These advancements resulted in higher sensory scores for the yogurt. Furthermore, during storage, microfluidization effectively inhibited the post‐acidification process of hempseed yogurt, and increased LAB counts and storage stability. CONCLUSION: Microfluidization improved the physicochemical properties and storage stability of hempseed yogurt. Our findings support the application of microfluidization in hempseed yogurt and provide a new approach for enhancing the quality of plant‐based alternatives that meet consumers' demands for high‐quality food products. © 2023 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Herein, carbon-coated MoSe2 decorated Mo2CTx MXene heterostructures (MoSe2/Mo2CTx@C) have been fabricated. Mo2CTx works as a dual-function electron/ion conductor, which not only provides high conductivity and mechanical strength, but also prevents the severe self-aggregation of few layered MoSe2 nanosheets. The high reversible capacities of 405 mA h g−1 at 100 mA g−1 after 150 cycles and 258 mA h g−1 at 2000 mA g−1 after 400 cycles could be achieved for a potassium-ion battery. [ABSTRACT FROM AUTHOR]

Log-based public key infrastructure(PKI) refers to a robust class of CA-attack-resilient PKI that enhance transparency and accountability in the certificate revocation and issuance process by compelling certificate authorities (CAs) to submit revocations to publicly and verifiably accessible logs. However, log-based PKIs suffer from a reliance on centralized and consistent sources of information, rendering them susceptible to split-world attacks, and they regrettably fail to provide adequate incentives for recording or monitoring CA behavior. Blockchain-based PKIs address these limitations by enabling decentralized log audits through automated financial incentives. However, they continue to face challenges in developing a scalable revocation mechanism suited for lightweight clients. In this paper, we introduce BRT, a scalable blockchain-based system for certificate and revocation transparency. It serves to log, audit, and validate the status of certificates within the transport layer security (TLS)/secure sockets layer(SSL) PKI domain. We designed an audit-on-chain framework, coupled with an off-chain storage/computation system, to enhance the efficiency of BRT when operating in a blockchain environment. By implementing a blockchain-based prototype, we demonstrate that BRT achieves storage-efficient log recording with a peak compression rate reaching 8%, cost-effective log updates for large-scale certificates, and near-instantaneous revocation checks for users. [ABSTRACT FROM AUTHOR]

SO 2 sensor is highly demanded in the application fields such as environmental protection and food manufactory. Herein, an integrated microsensor is developed for SO 2 gas detection. For the fabrication of microsensor, ZnO nanosheets sensing material is firstly loaded onto the sensing area of the microsensor by using inkjet printing technology. Then, Al 2 O 3 loaded with Ru nanoparticles (Ru/Al 2 O 3 ) as catalyst are locally deposited onto the surface of ZnO nanosheets layer. Gas sensing performance measurements indicate that the fabricated microsensor exhibits a selective response to SO 2 , and a good linear relationship in the range of 5–115 ppm SO 2 gases. Besides, this integrated microsensor has short response and recovery time. On-line mass spectrometry (on-line MS) experiment further reveals the formation of sulfur monoxide (SO ) radical as an intermediate product for SO 2 sensing. During the sensing process, Ru/Al 2 O 3 as catalyst layer brings SO 2 molecules to be broken down into easily detectable species (i.e. SO ), and then ZnO nanosheets with abundant gas transport channels capture the produced SO generating output signals. Therefore, this kind of sensing material configuration exploits the advantage of each element, and makes it possible for trace and selective detection of SO 2 gas. [ABSTRACT FROM AUTHOR]

This paper learns the route choice behavior of passengers from Auto Fare Collection, timetable, and train loading data using a method combined with Bayesian inference and Metropolis-Hasting sampling. First, the influential factors of route choice such as in-vehicle travel time, transfer time, and in-vehicle crowding are given. Next, formulations are established based on AFC, timetable and train loading data, which are merged into a logit model of route choice behavior of subway passengers. Next, an algorithm integrating Bayesian inference and Metropolis-Hasting sampling is designed to calibrate parameters of the logit model. Finally, a case study of Beijing subway is applied to verify the validity of the model and algorithm. A detailed discussion shows that in-vehicle crowding plays a crucial role in passenger route choice behavior. [ABSTRACT FROM AUTHOR]

Renal fibrosis is a common characteristic of various chronic kidney diseases (CKDs) driving the loss of renal function. During this pathological process, persistent injury to renal tubular epithelial cells and activation of fibroblasts chiefly determine the extent of renal fibrosis. In this study, the role of tumor protein 53 regulating kinase (TP53RK) in the pathogenesis of renal fibrosis and its underlying mechanisms is investigated. TP53RK is upregulated in fibrotic human and animal kidneys with a positive correlation to kidney dysfunction and fibrotic markers. Interestingly, specific deletion of TP53RK either in renal tubule or in fibroblasts in mice can mitigate renal fibrosis in CKD models. Mechanistic investigations reveal that TP53RK phosphorylates baculoviral IAP repeat containing 5 (Birc5) and facilitates its nuclear translocation; enhanced Birc5 displays a profibrotic effect possibly via activating PI3K/Akt and MAPK pathways. Moreover, pharmacologically inhibiting TP53RK and Birc5 using fusidic acid (an FDA‐approved antibiotic) and YM‐155(currently in clinical phase 2 trials) respectively both ameliorate kidney fibrosis. These findings demonstrate that activated TP53RK/Birc5 signaling in renal tubular cells and fibroblasts alters cellular phenotypes and drives CKD progression. A genetic or pharmacological blockade of this axis serves as a potential strategy for treating CKDs. [ABSTRACT FROM AUTHOR]

The aim of this study was to develop a new formulation of soybean and hemp protein fermented yogurt (SHY) and to evaluate the effects of hemp protein concentration on the physicochemical and flavor properties of yogurts. The results indicated that hemp protein rapidly reduced the pH, and increased total titratable acidity of yogurts due to the propagation of lactic acid bacteria. Stronger influence on the parameters was detected at higher hemp protein concentration. Yogurt with hemp protein has the potential to reduce the whey precipitation and improve texture and rheology compared to those of control yogurt. The key volatile components, including alcohols, esters, alkanes, and aldehydes, may be conducive to the flavor optimization of SHYs. The results of physicochemical properties and flavor substance selection also supported the high liking scores of 10% SHY in sensory evaluation. These findings demonstrated that hemp protein has great development potency as a nutritional source to produce functional dairy products with optimum quality. • The best quality of plant-based yogurt was optimized with 10% hemp protein. • 10% hemp protein improved the physicochemical properties of yogurts. • Hemp protein compensated for the key volatile components in yogurts. • Yogurts with 10% hemp protein addition presented a great preference at sensory level. [ABSTRACT FROM AUTHOR]

FXR overexpression in MSC facilitates the response of MSC to endogenous bile acid signals, thus enhancing the survival and paracrine angiogenesis of MSC. B Mesenchymal Stromal Cells b In article number 2200431, Wenjun Yan, Ling Tao, and co-workers report a novel strategy for improving the curative effect of mesenchymal stromal cell (MSC)-based therapy for myocardial infarction that is achieved by bile acid- arnesoid X receptor (FXR) axis activation. [Extracted from the article]

The effects of fermentation with different combinations of probiotic micro-organisms on the consumer quality attributes, soy isoflavone and equol content of yogurt, made from soy whey, soy embryo powder and soy protein powder were investigated. Differences in water holding capacity, texture, apparent viscosity, sensory attributes, soy isoflavone and equol content were studied. Different probiotics had significantly different effects on yogurt quality, soy isoflavone and equol content. Fermentation with Danisco probiotic starter resulted in the shortest fermentation time, the best water holding capacity, textural properties, flavor, sensory scores, the highest total (28) of aroma volatiles detected and the highest content of equol (1022.6 ng/mL). Multivariate statistical analysis of taste and aroma profiles was able to clearly distinguish between yogurts with different sensory scores. These findings indicate that producing yogurt from soy whey, a waste-stream from soybean processing, is a viable way to make a higher-value, health promoting consumer product. • The best quality soy protein yogurt (SPY) was fermented with Danisco probiotics. • The SPY can be divided into five clusters in terms of flavor by PCA and HCA. • SPYs fermented by Danisco and Kefir respectively had a higher content of equol (EQ). • SPY was prepared by fermentation of soy whey (SW) and soy embryo powder (SEP). • Exogenous supplement of soy isoflavones and EQ was achieved by adding SW and SEP. [ABSTRACT FROM AUTHOR]

Achieving efficient photocatalytic degradation of atmospheric volatile organic compounds (VOCs) under sun-light is still a significant challenge for environmental protection. The S-scheme heterojunction with its unique charge migration route, high charge separation rate and strong redox ability, has great potential. However, how to regulate interfacial charge transfer of the S-scheme heterojunction is of significant importance. Here, density functional theory (DFT) calculations were first conducted and predicted that an S-scheme heterojunction could be formed in the CdS quantum dots/Bi 2 MoO 6 monolayer system. Subsequently, this novel heterojunction is constructed by in-situ hydrothermal synthesis of CdS quantum dots on monolayer Bi 2 MoO 6. Under visible-light, this novel S-scheme system gives a high-efficiency photocatalytic degradation rate (6.04 × 10−2 min−1) towards C 2 H 4 , which is 30.3 times higher than that of pure CdS (1.99 × 10−3 min−1) and 41.7 times higher than pure Bi 2 MoO 6 (1.45 × 10−3 min−1). Strong evidence for the S-scheme charge transfer path is provided by in-situ XPS, PL, TRPL and EPR. [Display omitted] • A novel S-scheme CdS QDs/Bi 2 MoO 6 monolayer photocatalyst was synthesized. • This S-scheme heterojunction shows excellent activities for C 2 H 4 photodegradation. • The reaction mechanism of C 2 H 4 photooxidation was comprehensively investigated. [ABSTRACT FROM AUTHOR]

[Display omitted] • Designed and fabricated a CdS QDs/Bi 2 WO 6 monolayer S-scheme heterojunction. • Bi-S bonds deliberately introduced at the interface to regulate the charge transfer. • S-scheme heterojunction show excellent photoactivities for C 2 H 4 oxidation. The S-scheme heterojunction with unique photogenerated electrons and holes migration pathway, excellent separation efficiency of photogenerated carrier and high redox potential, has great potential in this field of photocatalytic oxidation of atmospheric C 2 H 4. However, optimising the transfer of photogenerated charge at the S-scheme heterostructure interface continues to a major challenge. Here, density functional theory (DFT) calculations were first conducted to predict an S-scheme heterojunction can be formed in the CdS quantum dots (QDs)/Bi 2 WO 6 monolayer system, and then CdS QDs/Bi 2 WO 6 monolayer S-scheme heterojunction were constructed by in-situ hydrothermal synthesis of CdS QDs onto Bi 2 WO 6 monolayer. Bi-S bonds are deliberately introduced at the interface to maximise the photogenerated charge transfer. As expected, the substantial enhancement of the photocatalytic degradation of ethylene and the photostabilization of CdS is demonstrated. The S-scheme band alignment and the connected Bi-S coordination introduced at the junction interface allow highly efficient charge separation and an effective interfacial charge migration path. This research provides a basis for understanding the design of materials for the removal of hydrocarbons in air and environmental pollutant remediation, and improving the stability of sulfide and other photocatalysts to photocorrosion. [ABSTRACT FROM AUTHOR]

Inorganic mercury is a ubiquitous toxic pollutant in the environment. Exposure to inorganic mercury can cause various poisonous effects, including kidney injury. However, no safe and effective treatment for kidney injury caused by inorganic mercury has been found and used. Luteolin (Lut) possesses various beneficial bioactivities. Here, our research aims to investigate the protective effect of Lut on renal injury induced by mercury chloride (HgCl 2) and identify the underlying autophagy regulation mechanism. Twenty-eight 6–8 weeks old Wistar rats were randomly assigned to four groups: control, HgCl 2 , HgCl 2 + Lut, and Lut. We performed the determination of oxidative stress and renal function indicators, histopathological analysis, the terminal deoxynucleotidyl transferase-mediated deoxyuracil nucleoside triphosphate nick-end labeling assay to detect apoptosis, western blot detection of autophagy-related protein levels, and atomic absorption method to detect mercury content. Our results showed that Lut ameliorated oxidative stress, apoptosis and restored the autophagy and renal function caused by HgCl 2 in rats. Concretely, the level of nuclear factor E2-related factor, renal adenosine monophosphate-activated protein kinase (AMPK) expression, and autophagy regulation-related proteins levels were down-regulated, and the mammalian target of rapamycin (mTOR) expression was up-regulated by HgCl 2 treatment. However, Lut treatment reversed the above changes. Notably, Lut reduced the accumulation of HgCl 2 in the kidneys and promoted the excretion of HgCl 2 through urine. Collectively, our results demonstrate that Lut can attenuate inorganic mercury-induced renal injury via activating the AMPK/mTOR autophagy pathway. Therefore, Lut may be a potential biological medicine to protect against renal damage induced by HgCl 2. Schematic diagram of the mechanism of Lut attenuating kidney damage caused by HgCl 2. Luteolin ameliorates mercury dichloride (HgCl 2)-induced kidney damage via activating the adenosine monophosphate-activated protein kinase/mammalian target of rapamycin (AMPK/mTOR) autophagy pathway. [Display omitted] • Exposure to inorganic mercury induces kidney injury in rats. • HgCl 2 induces the reduction of renal autophagy in rats. • Mammalian target of rapamycin (mTOR) is activated by HgCl 2. • Adenosine monophosphate-activated protein kinase (AMPK) is involved in kidney injury. • Luteolin relieves HgCl 2 -induced kidney injury by activating AMPK/mTOR autophagy pathway. [ABSTRACT FROM AUTHOR]

Beans are a rich source of high quality protein and oil, and have attracted increasing interest from both nutrition researchers and health-conscious consumers. This review aims to provide a foundation for the future research and development of bean polysaccharides, by summarizing the sources, structure, and functions of bioactive bean polysaccharides. Structure/function relationships are described, for biological activities, such as immunological, antioxidant and anti-diabetes. This will provide useful guidance for further optimization of polysaccharide structure and the development of bean polysaccharides as a novel functional material. [ABSTRACT FROM AUTHOR]

Three‐dimensional displacement monitoring over long distances has been a long‐standing concern in the structural health monitoring industry. In this study, a multi‐degree‐of‐freedom slope displacement monitoring method is developed by fusing computer vision and the 3D point triangulation method. Attributed to this method, the problems of outdoor binocular camera calibration, multi‐target mismatching, and outdoor illumination effects were solved. First, a two‐stage camera calibration method is proposed to accurately calibrate intrinsic and extrinsic camera parameters under a large field of view and long working distance conditions. Second, the adaptive spatial‐frequency method is proposed to calculate the coding and pixel coordinates of the monitored target. In this step, to solve the problem of mismatching monitored points in different camera frames, the Augmented Reality University of Cordoba code is introduced to provide a unique identity code for each monitored point. To mitigate the impact of illumination and other factors on pixel coordinate calculation, an adaptive pixel coordinate calculation method that combines information from the spatial and frequency domains is proposed., Third, based on the intrinsic and extrinsic parameters of the stereo camera and the pixel coordinates of the monitored points, the 3D coordinates of the monitored points are obtained through triangulation. Finally, the accuracy experiments and stability experiments are conducted. According to the results of the experiments, the measurement distance is positively correlated with the measurement error. And the baseline length is negatively correlated with the measurement error in the z‐direction. Ultimately, we suggest that the ratio of baseline length to measurement distance should be greater than 40%. When the recommended value is satisfied, the measurement error is less than 1 mm when the measurement distance is less than 40 m. When the measurement distance is equal to 90 m, the measurement error is less than 5 mm. Meanwhile, stability experiments of the algorithm were carried out, and in a period of outdoor validation experiments, the fluctuations were only sub‐millimeter, demonstrating good anti‐interference performance. Moreover, the method proposed in this study successfully monitored a landslide disaster in Guangxi, which demonstrated its outstanding practical application capabilities. [ABSTRACT FROM AUTHOR]

The addition of CrO 4 2− can create a stable anion environment around the catalyst electrode to promote the formation and stabilization of the metal oxyhydroxide active phase and repel Cl− away from the catalyst surface, which would mitigate the adverse effect of Cl− on the anode. [Display omitted] • CrO 4 2− generally promotes the OER activity of Ni-based LDHs in alkaline seawater. • The addition of CrO 4 2− boosts the formation of the metal oxyhydroxide active phase. • The additive CrO 4 2− greatly enhances the Cl−-corrosion resistance of NiFe-LDH. Seawater electrolysis to generate hydrogen offers a clean, green, and sustainable solution for new energy. However, the catalytic activity and durability of anodic catalysts are plagued by the corrosion and competitive oxidation reactions of chloride in high concentrations. In this study, we find that the additive CrO 4 2− anions in the electrolyte can not only promote the formation and stabilization of the metal oxyhydroxide active phase but also greatly mitigate the adverse effect of Cl− on the anode. Linear sweep voltammetry, accelerated corrosion experiments, corrosion polarization curves, and charge transfer resistance results indicate that the addition of CrO 4 2− distinctly improves oxygen evolution reaction (OER) kinetics and corrosion resistance in alkaline seawater electrolytes. Especially, the introduction of CrO 4 2− even in the highly concentrated NaCl (2.5 M) electrolyte prolongs the durability of NiFe-LDH to almost five times the case without CrO 4 2−. Density functional theory calculations also reveal that the adsorption of CrO 4 2− can tune the electronic configuration of active sites of metal oxyhydroxides, enhance conductivity, and optimize the intermediate adsorption energies. This anionic additive strategy can give a better enlightenment for the development of efficient and stable oxygen evolution reactions for seawater electrolysis. [ABSTRACT FROM AUTHOR]

Reservoirs exert a profound influence on the cycling of dissolved organic matter (DOM) in inland waters by altering flow regimes. Biological incubations can help to disentangle the role that microbial processing plays in the DOM cycling within reservoirs. However, the complex DOM composition poses a great challenge to the analysis of such data. Here we tested if the interpretable machine learning (ML) methodologies can contribute to capturing the relationships between molecular reactivity and composition. We developed time‐specific ML models based on 7‐day and 30‐day incubations to simulate the biogeochemical processes in the Three Gorges Reservoir over shorter and longer water retention periods, respectively. Results showed that the extended water retention time likely allows the successive microbial degradation of molecules, with stochasticity exerting a non‐negligible effect on the molecular composition at the initial stage of the incubation. This study highlights the potential of ML in enhancing our interpretation of DOM dynamics over time. Plain Language Summary: As a comprehensive man‐made infrastructure, reservoirs significantly influence the chemical composition, reactivity, and turnover time of dissolved organic matter (DOM) within inland waters. However, it remains elusive how DOM molecules respond to microbial processing over different time scales. Besides the well‐recognized predictive power of machine learning (ML) methodologies, we delved into the processes of tuning the ML models to acquire additional interpretability. We used an under‐sampling strategy to improve model performance and simultaneously observed the variations in model performance metrics for different biological reactivity pools over incubations with different durations. We find that shorter incubation periods result in a broader range of molecules disappearing, with a greater contribution of stochasticity, while the longer incubation allows the successive biodegradation of oxygen‐poor compounds, with a greater contribution of directed degradation. As a complement to traditional geochemical methods, we unveiled a novel perspective in understanding the DOM dynamics over time using ML. Key Points: Machine learning (ML) models were built to correlate the molecular composition and biological reactivity at the world's largest reservoirShorter incubations result in a broader range of molecules disappearing, with a greater contribution of stochasticityTuning the ML model contributes to yield additional interpretability beyond its well‐recognized predictive power [ABSTRACT FROM AUTHOR]

The Allee effect is widespread among endangered plants and animals in ecosystems, suggesting that a minimum population density or size is necessary for population survival. This paper investigates the stability and pattern formation of a predator–prey model with nonlinear reactive cross-diffusion under Neumann boundary conditions, which introduces the Allee effect. Firstly, the ODE system is asymptotically stable for its positive equilibrium solution. In a reaction system with self-diffusion, the Allee effect can destabilize the system. Then, in a reaction system with cross-diffusion, through a linear stability analysis, the cross-diffusion coefficient is used as a bifurcation parameter, and instability conditions driven by the cross-diffusion are obtained. Furthermore, we show that the system (5) has at least one inhomogeneous stationary solution. Finally, our theoretical results are illustrated with numerical simulations. [ABSTRACT FROM AUTHOR]

Summary: The effect of simultaneous transglutaminase (TGase) treatment with pectic fat mimetics (PFM) addition on regularity of protein and fat degradation and flavour compound variations in Cheddar cheese during ripening was investigated. In the early stages of fermentation, the cheese with 20% PFM and 15 U/L TGase had a higher amino acid content. In the middle stage of fermentation, cheese with high concentration of TGase hydrolysed more proteins. Cheese supplemented with PFM and TGase showed increased content of long‐chain polyunsaturated fatty acids, especially linoleic acid (C18:2). In addition, PFM and TGase compensated the flavour deficiencies of low‐fat cheeses and had positive effects on volatile compounds such as alcohols, acids and methyl ketones. Overall, the characteristics and flavours of Cheddar cheese with the addition of PFM and TGase were superior to the control group, which could provide a theoretical basis for the application of PFM and TGase in cheese production. [ABSTRACT FROM AUTHOR]