Development of advanced anion exchange membrane from the view of the performance of water electrolysis cell

Green hydrogen produced by water electrolysis combined with renewable energy is a promising alternative to fossil fuels due to its high energy density with zero-carbon emissions.Among water electrolysis technologies,the anion exchange membrane(AEM) water electrolysis has gained intensive attention and is considered as the next-generation emerging technology due to its potential advantages,such as the use of low-cost non-noble metal catalysts,the relatively mature stack assembly process,etc.However,the AEM water electrolyzer is still in the early development stage of the kW-level stack,which is mainly attributed to severe performance decay caused by the core component,i.e.,AEM.Here,the review comprehensively presents the recent progress of advanced AEM from the view of the performance of water electrolysis cells.Herein,fundamental principles and critical components of AEM water electrolyzers are introduced,and work conditions of AEM water electrolyzers and AEM performance improvement strategies are discussed.The challenges and perspectives are also analyzed.

Recent advances and future prospects on Ni_(3)S_(2)-Based electrocatalysts for efficient alkaline water electrolysis

Green hydrogen(H_(2))produced by renewable energy powered alkaline water electrolysis is a promising alternative to fossil fuels due to its high energy density with zero-carbon emissions.However,efficient and economic H_(2) production by alkaline water electrolysis is hindered by the sluggish hydrogen evolution reaction(HER)and oxygen evolution reaction(OER).Therefore,it is imperative to design and fabricate high-active and low-cost non-precious metal catalysts to improve the HER and OER performance,which affects the energy efficiency of alkaline water electrolysis.Ni_(3)S_(2) with the heazlewoodite structure is a potential electrocatalyst with near-metal conductivity due to the Ni–Ni metal network.Here,the review comprehensively presents the recent progress of Ni_(3)S_(2)-based electrocatalysts for alkaline water electrocatalysis.Herein,the HER and OER mechanisms,performance evaluation criteria,preparation methods,and strategies for performance improvement of Ni_(3)S_(2)-based electrocatalysts are discussed.The challenges and perspectives are also analyzed.

Progress in electrocatalytic nitrate reduction for green energy:Catalyst engineering,mechanisms,and techno-economic feasibility

Ammonia(NH_(3))is an irreplaceable chemical that has been widely demanded to keep the sustainable development of modern society.However,its industrial production consumes a huge amount of energy and releases extraordinary greenhouse gases(GHGs),leading to various environmental issues.Achieving the green production of ammonia is a great challenge,which has been extensively pursued in the last decade.In this review,the most promising strategy,electrochemical nitrate reduction reaction(e-NO_(3)RR),is comprehensively investigated to give a complete understanding of its development and mechanism and provide guidance for future directions.However,owing to the complex reactions and limited selectivity,a comprehensive understanding of the mechanisms is crucial to further development and commercialization.Moreover,NO_(3)^(-)RR is a promising strategy for simultaneous water treatment and NH_(3)production.A detailed overview of the recent progress in NO_(3)^(-)RR for NH_(3)production with nontransition and transition metal based electrocatalysts is summarized.In addition,critical advanced techniques,future challenges,and prospects are discussed to guide future research on transition metal-based catalysts for commercial NH_(3)synthesis by NO_(3)^(-)reduction.

Low-frequency and dual-band microwave absorption properties of novel VB-group disulphides(3R–TaS_(2))nanosheets

As electromagnetic technology advances and demand for electronic devices grows,concerns about electromagnetic pollution intensify.This has spurred focused research on innovative electromagnetic absorbers,particularly chalcogenides,noted for their superior absorption capabilities.In this study,we successfully synthesize 3R–TaS_(2)nanosheets using a straightforward calcination method for the first time.These nanosheets exhibit significant absorption capabilities in both the C-band(4–8 GHz)and Ku-band(12–18 GHz)frequency ranges.By optimizing the calcination process,the complex permittivity of TaS_(2)is enhanced,specifically for those synthesized at 1000℃for 24 h.The nanosheets possess dual-band absorption properties,with a notable minimum reflection loss(RLmin)of41.4 dB in the C-band,and an average absorption intensity exceeding 10 dB in C-and Ku-bands,in the absorbers with a thickness of 5.6 mm.Additionally,the 3R–TaS_(2)nanosheets are demonstrated to have an effective absorption bandwidth of 5.04 GHz(3.84–8.88 GHz)in the absorbers with thicknesses of 3.5–5.5 mm.The results highlight the multiple reflection effects in 3R–TaS_(2)as caused by their stacked structures,which could be promising low-frequency absorbers.

Research Progress on MTHFR C677T and A1298C Gene Polymorphisms and Gastrointestinal Tumors

Tumours of the digestive system include a number of malignant tumours such as oesophageal, gastric and colorectal cancers, which have the highest incidence and mortality rates in the world. Their occurrence is related to a variety of factors, such as diet, environment and genetics. As a key enzyme in the process of folate metabolism, MTHFR gene polymorphism plays an important role in the pathogenesis and development of gastrointestinal tumours. This paper provides a brief review of the relationship between MTHFR polymorphisms and digestive tumours, with a view to identifying the genetic effects of MTHFR, exploring the pathogenesis of digestive tract tumours and developing more effective prevention and treatment strategies.

Association between the TP53 Arg72Pro Polymorphisms and Gastric Cancer Risk: An Updated Meta-Analysis and Re-Analysis of Systematic Meta-Analyses

Background: A latest Meta-analysis on TP53 Arg72Pro polymorphism with gastric cancer (GC) risk was published in 2015 including 20 literatures, while our study included 43 studies. Moreover, the results of previously published original studies were inconsistent and the credibility of the significant correlation between the statistical results has been ignored. Therefore, an updated Meta-analysis was conducted to further explore these associations. Objective: To explore whether these two gene polymorphisms are related to the risk, clinical manifestations, and pathological features of GC. Methods: We searched several Chinese and English databases. The crude odds ratio (OR) with 95% confidence interval (CI) was used to evaluate the correlation. In addition, false positive reporting probability (FPRP), bayesian false discovery probability (BFDP), and Venice criteria were used to assess the reliability of statistically significant correlation. Results: Overall, the TP53 Arg72Pro polymorphism was related to a significantly increased GC risk (AP vs. AA: OR = 1.12, 95% CI = 1.02 - 1.24;PP + AP vs. AA: OR = 1.12, 95% CI = 1.02 - 1.24;P vs. A: OR = 1.07, 95% CI = 1.00 - 1.15). However, after excluding the low quality and Hardy–Weinberg Disequilibrium (HWD) studies, significant changes were found on the TP53 Arg72Pro polymorphism with GC risk in Caucasians (PP vs. AA: OR = 1.48, 95% CI = 1.01 - 2.16) and non-gastric cancer control groups (PP vs. AP + AA: OR = 1.33, 95% CI = 1.07 - 1.64)). However, the above significant results were considered unreliable after being adjusted with Bayesian error detection probability (BFDP) and false positive reporting probability (FPRP). These unreliable results were confirmed again, and no new reliable results were found in the further sensitivity analysis (only studies that met the quality assessment criteria). Conclusions: After considering the quality of the study and the reliability of the results, this Meta-analysis showed that TP53 codon 72 polymorphisms had no significant correlation with GC risk. Because of various confounding factors, the result that these polymorphisms increase GC risk is more likely to be a false positive result.

Efficient reduction ofβ-lactoglobulin allergenicity in milk using Clostridium tyrobutyricum Z816

Milk allergy is one of the most common food allergies,affecting 6%of young children,andβ-lactoglobulin(β-LG)is the main milk allergen.Clostridium tyrobutyricum Z816 was selected for the degradation ofβ-LG,which was successfully reduced by about 90%using permeabilized bacteria under the optimized conditions.The hydrolyzed peptides were identified by liquid chromatography-tandem mass spectrometry(LC-MS/MS)and analyzed by molecular modeling,which indicated that C.tyrobutyricum Z816 could effectively degrade the antigenic epitopes ofβ-LG.Finally,the concentration and digestibility ofβ-LG in actual samples was quantified using enzyme-linked immunosorbent assay(ELISA)and gastrointestinal digestion simulation experiments.The results showed more than 92%ofβ-LG in actual samples was hydrolyzed,and the gastric and total digestibility of whey protein isolate(WPI)was improved by 85.96%and 64.51%,respectively.Therefore,C.tyrobutyricum Z816 offers an effective method to degradeβ-LG and reduce the occurrence of milk allergies,which has great significance for the development of hypoallergenic dairy products.

Reactive Power Flow Convergence Adjustment Based on Deep Reinforcement Learning

Power flow calculation is the basis of power grid planning and many system analysis tasks require convergent power flow conditions.To address the unsolvable power flow problem caused by the reactive power imbalance,a method for adjusting reactive power flow convergence based on deep reinforcement learning is proposed.The deep reinforcement learning method takes switching parallel reactive compensation as the action space and sets the reward value based on the power flow convergence and reactive power adjustment.For the non-convergence power flow,the 500 kV nodes with reactive power compensation devices on the low-voltage side are converted into PV nodes by node type switching.And the quantified reactive power non-convergence index is acquired.Then,the action space and reward value of deep reinforcement learning are reasonably designed and the adjustment strategy is obtained by taking the reactive power non-convergence index as the algorithm state space.Finally,the effectiveness of the power flow convergence adjustment algorithm is verified by an actual power grid system in a province.

Effects of human mesenchymal stem cell transplantation in the bilateral corpus striatum in a rat model of Tourette's syndrome

Tourette＇s syndrome is treated by behavioral or pharmacological therapy.However,patients with malignant Tourette＇s syndrome also exhibit life-threatening symptoms,which are unresponsive to conservative treatments or neurosurgical procedures,such as deep brain stimulation.In recent years,mesenchymal stem cells（MSCs）have shown therapeutic potential in many neurological diseases.Therefore,the present study proposed to use MSC transplantation as a novel therapy for Tourette＇s syndrome.Stereotypic behaviors in Tourette＇s syndrome rats decreased significantly at21 days after human MSCs transplantation into the striatum.Immunohistochemistry analyses revealed survival of transplanted human MSCs and differentiation into neurons and astrocytes in the rat brain.Results suggest that intrastriatal transplantation of human MSCs could provide therapeutic potential for Tourette＇s syndrome.

Chlorophyll-based organic solar cells with improved power conversion efficiency

Chlorophylls(Chls), and associated chlorophyll derivatives, are one of the oldest, most versatile organic semiconductors found in nature. Herein, we present two easily semi-synthesized chlorophyll derivatives, namely, chlorin e6 trimethyl ester(Ce6Me3) and its copper complex(Cu–Ce6 Me3), as the p-type dopants for organic semiconductors and their impact in organic solar cells(OSCs). In our study, both Chls showed intense Soret and Q y bands in the UV-visible spectra, leading to an effect means for capturing solar light and energy. Chls also exhibited high carrier mobility owing to the partial formation of aggregates through the spin-coating process. Using Chls, we fabricated OSCs in both planar-heterojunction(PHJ) and bulkheterojunction(BHJ) solar cell configurations, together with C70/PC70 BM as electron acceptors. In PHJ solar cells, we received solar power conversion efficiencies(PCEs) of only 0.85% and 0.93% for Cu–Ce6 Me 3-and Ce6Me3-based devices, respectively, with the thickness of the donor layer at 5 nm. In BHJ cells, we achieved much higher PCEs of 1.53% and 2.05% for Cu–Ce6Me3 :PC 70 BM and Ce6Me3 :PC 70 BM respectively, where both blending ratios were set to 1:8. The improvement on PCE in BHJ cells may be attributed to the better charge separation increase at the donor–acceptor interface.

A Review of Methods Based on Nanofluids and Biomimetic Structures for the Optimization of Heat Transfer in Electronic Devices

Nowadays,the utilization rate of electronic products is increasing while showing no obvious sign of reaching a limit.To solve the associated“internal heat generation problem”,scientists have proposed two methods or strategies.The first approach consists of replacing the heat exchange medium with a nanofluid.However,the high surface energy of the nanoparticles makes them prone to accumulate along the heat transfer surface.The second method follows a different approach.It tries to modify the surface structure of the electronic components in order to reduce the fluid-dynamic drag and improve the rate of heat exchange.This article reviews these effects considering different types of nanofluid and different shapes,sizes,and arrangements of“biomimetic grooves”.The idea to use these two methods in a combined fashion(to improve heat transfer and reduce flow resistance at the same time)is also developed and discussed critically to a certain extent.

Next generation patient-derived prostate cancer xenograft models

There is a critical need for more effective therapeutic approaches for prostate cancer. Research in this area, however, has been seriously hampered by a lack of clinically relevant, experimental in vivo models of the disease. This review particularly focuses on the development of prostate cancer xenograft models based on subrenal capsule grafting of patients＇ tumor tissue into nonobese diabetic/ severe combined immunodeficient （NOD/ SCID） mice. This technique allows successful development of transplantable, patient-derived cancer tissue xenograft lines not only from aggressive metastatic, but also from localized prostate cancer tissues. The xenografts have been found to retain key biological properties of the original malignancies, including histopathological and molecular characteristics, tumor heterogeneity, response to androgen ablation and metastatic ability. As such, they are highly clinically relevant and provide valuable tools for studies of prostate cancer progression at cellular and molecular levels, drug screening for personalized cancer therapy and preclinical drug efficacy testing; especially when a panel of models is used to cover a broader spectrum of the disease. These xenograft models could therefore be viewed as next-generation models of prostate cancer.

Numerical and Experimental Analysis of the Hydrodynamic Performance of a Three-Dimensional Finite-Length Rotating Cylinder

The hydrodynamic performance of a three-dimensional finite-length rotating cylinder is studied by means of a physical tank and numerical simulation.First,according to the identified influencing factors,a hydrodynamic performance test of the rotating cylinder was carried out in a circulating water tank.In order to explore the changing law of hydrodynamic performance with these factors,a particle image velocimetry device was used to monitor the flow field.Subsequently,a computational field dynamics numerical simulation method was used to simulate the flow field,followed by an analysis of the effects of speed ratio,Reynolds number,and aspect ratio on the flow field.The results show that the lift coefficient and drag coefficient of the cylinder increase first and then decrease with the increase of the rotational speed ratio.The trend of numerical simulation and experimental results is similar.

Research Progress on Pharmacological Action of 5-O-methylvisammioside

5-O-methylvisammioside is a chemical derived from the dry root of Saposhnikovia divaricata,which has the functions of expelling pathogenic wind from body surface,removing dampness to relieve pain,and relieving convulsion.Recent studies have found that 5-O-methylvisammioside can play a variety of pharmacological effects such as anti-tumor,anti-inflammation,anti-virus and anti-depression through a variety of ways.The paper reviews the pharmacological action and mechanism of 5-O-methylvisammioside in recent years.

Study on Pharmacological Effects of Harmine Hydrochloride

Harmaine hydrochloride is an important alkaloid compound and mainly exists in the roots,stems,leaves and seeds of the plant Peganum harmala L.(family Zygophyllaceae).Harmaine hydrochloride not only has good anti-bacterial,anti-plasmodium,anti-Parkinson's disease,anti-fungal,anti-oxidation and anti-tumor activities,but also has the characteristics of small adverse reactions and low toxicity,thus it has attracted wide attention from scholars and researchers.This paper reviews the pharmacological effects and mechanisms of harmine hydrochloride in recent years,and is intended to provide a theoretical basis for the clinical application of harmine hydrochloride.

Optical and electrochemical dual detection ofβ-lactoglobulin based on the methylene blue@copper-based metal-organic framework

β-lactoglobulin is an effective indicator of allergic protein detection.Herein,we produced a copper-based metal-organic framework coated with methylene blue,to realize the optical and electrochemical dual detection ofβ-lactoglobulin.Methylene blue was successfully encapsulated inside the copper-based metal-organic framework and released after addition ofβ-lactoglobulin.As the concentration ofβ-lactoglobulin increased,the intensity of the ultraviolet absorption band and the response current increased with the increasing concentration of methylene blue released from the copper-based metal-organic framework.The optical detection range is from 0.10 mg/mL to 10 mg/mL,and the detection limit is 0.10 mg/mL.The electrochemical detection range is from 1.0×10^(-7) mg/mL to 8.0×10^(-7) mg/mL,the detection limit is 2.0×10^(-8) mg/mL.The dual detection strategy,with no interfere with each other,played a synergetic role in the quick qualitative and precise quantitative analyses ofβ-lactoglobulin in a wide range of applications.

Wearable and interactive multicolored photochromic fiber display

Endowing flexible and adaptable fiber devices with light-emitting capabilities has the potential to revolutionize the current design philosophy of intelligent,wearable interactive devices.However,significant challenges remain in developing fiber devices when it comes to achieving uniform and customizable light effects while utilizing lightweight hardware.Here,we introduce a mass-produced,wearable,and interactive photochromic fiber that provides uniform multicolored light control.We designed independent waveguides inside the fiber to maintain total internal reflection of light as it traverses the fiber.The impact of excessive light leakage on the overall illuminance can be reduced by utilizing the saturable absorption effect of fluorescent materials to ensure light emission uniformity along the transmission direction.In addition,we coupled various fluorescent composite materials inside the fiber to achieve artificially controllable spectral radiation of multiple color systems in a single fiber.We prepared fibers on mass-produced kilometer-long using the thermal drawing method.The fibers can be directly integrated into daily wearable devices or clothing in various patterns and combined with other signal input components to control and display patterns as needed.This work provides a new perspective and inspiration to the existing field of fiber display interaction,paving the way for future human–machine integration.

Photo-induced Ag modulating carbon dots:Greatly improved fluorescent properties and derived sensing application

Carbon dots(CDs)have been attracted much attention and widely studied due to their excellent fluorescence(FL)properties,better biocompatibility and outstanding photo/chemical stability.However,the disadvantage of lower quantum yield(QY)still limits its wide application.Herein,we reported a novel and convenient strategy to prepare photo-induced Ag/CDs(p-Ag/CDs)by irradiating the mixed Ag+and hydrophobic CDs(h-CDs)acetone solution with ultraviolet(UV)light.The obtained p-Ag/CDs exhibit a greatly enhanced FL emission together with a blue shift(460 nm)than h-CDs(520 nm).The QY of p-Ag/CDs is measured to be 51.1%,which is 10.4 times higher than that of h-CDs(4.9%),indicating that photo-induced Ag modulation can effectively improve the optical properties of CDs.The mechanisms for the FL enhancement and blue shift of h-CDs are studied in detail.The results prove that the greatly enhanced FL emission is from the generated Ag nanoparticles(AgNPs)by UV light irradiation based on metal-enhanced fluorescence(MEF),and the increased oxygen-contained groups in this process lead to the blue shift in CDs fluorescence.Interestingly,the p-Ag/CDs exhibit higher sensitivity and selectivity for sulfide ions(S2-)detection than that of h-CDs,which have a lower response to S2-.This work not only offers a novel strategy to improve the FL properties of materials but also endows them with new functions and broadens their application fields.

High-throughput analysis of maize azimuth and spacing from Lidar data

Efficient leaf azimuth angles and plant spacing are crucial for enhancing light interception efficiency in maize,thereby increasing yield per unit area.Traditional methods for measuring these traits are labor-intensive and prone to error.This study aimed to develop an accurate and efficient method for determining leaf azimuth angles and plant spacing in maize to improve understanding of field competition and support breeding programs.Utilizing light detection and ranging(Lidar)technology,3D point cloud data of maize plants were collected,enabling effective 3D morphological reconstruction through multi-frame stitching.Principal component analysis(PCA)was employed to determine the leaf azimuth angles of individual maize plants.Additionally,a method based on point density analysis was developed to identify the central axis position of single maize plants.Specifically,point density in the neighborhood of each point in the maize point cloud was calculated,with the central axis determined along the direction of highest point density.The integration of PCA-based leaf azimuth detection and point density analysis provided a robust framework for accurately determining leaf azimuth angles and plant spacing.In the detection of leaf azimuth angles,this method achieved an R2 of 0.87 and an RMSE of 5.19°.For plant spacing detection,the R2 was 0.83 and the RMSE was 0.08 m.This approach facilitates parameterized modeling of field competition,significantly enhancing the efficiency of breeding programs by providing detailed and precise phenotypic data.Despite the high accuracy demonstrated by the proposed methods,further investigation is needed to evaluate their effectiveness under varying environmental conditions and across different maize varieties.Additionally,challenges related to partial occlusions and complex canopy structures may impact the accuracy of point cloud data analysis,necessitating further refinement of the algorithms.