Strong Stability Research Articles

Neuroprotective efficiency of celecoxib vesicular bilosomes for the management of lipopolysaccharide-induced Alzheimer in mice employing 23 full factorial design.

The aim of this study was to develop and evaluate bilosomes loaded with Celecoxib (CXB) for the efficient treatment of Alzheimer. The thin-film hydration approach was utilized in the formulation of CXB bilosomes (CXB-BLs). The study used a 23-factorial design to investigate the impact of several formulation variables. Three separate parameters were investigated: bile salt type (X1), medication amount (X2), and lipid-bile salt ratio (X3). The dependent responses included entrapment efficiency (Y1: EE %), particle size (Y2: PS), and zeta potential (Y3: ZP). The formulation factors were statistically optimized using the Design-Expert® program. The vesicles demonstrated remarkable CXB encapsulation efficiency, ranging from 94.16 ± 1.91 to 98.38 ± 0.85%. The vesicle sizes ranged from 241.8 ± 6.74 to 352 ± 2.34nm. The produced formulations have high negative zeta potential values, indicating strong stability. Transmission electron microscopy (TEM) revealed that the optimized vesicles had a spherical form. CXB release from BLs was biphasic, with the release pattern following Higuchi's model. In vivo studies confirmed the efficiency of CXB-BLs in management of lipopolysaccharide-induced Alzheimer as CXB-BLs ameliorated cognitive dysfunction, decreased acetylcholinesterase (AChE), and inhibited neuro-inflammation and neuro-degeneration through reducing Toll-like receptor (TLR4), and Interleukin-1β (IL-1β) levels. The findings suggested that the created CXB-BLs could be a potential drug delivery strategy for Alzheimer's treatment.

A cross-lagged analysis of the relationship between short video overuse behavior and depression among college students.

Watching short videos on mobile phones is currently a very prevalent phenomenon. It has been found in research that excessive use of short videos is closely related to depression. The aim of this study is to investigate the relationship between short video overuse behavior and depression among college students as well as the gender differences that are present in such relationship. A follow-up measurement was conducted on 331 college students using the Short Video Usage Behavior Scale and the Epidemic Research Center Depression Scale with an interval of 2 months. (1) Correlation analysis revealed a significant positive correlation between short video overuse behavior and depression, whether measured at the same or different time points, repeated measures ANOVA indicates that short video overuse behavior and depression have strong stability within the interval between two measurements. (2) Pre-test short video overuse behavior could significantly and positively predict post-test depression, whereas pre-test depression could not significantly predict post-test short video overuse behavior. (3) The cross-lagged effect between short video overuse behavior and depression showed no gender differences. These findings indicate that, for college students, short video overuse behavior may increase the risk of depression, whereas depression cannot induce short video overuse behavior.

ESG Rating Divergence and Trade Credit Financing : Promotion or Inhibition ?

ESG plays a key role in promoting sustainable development strategies. Data integrators integrate ESG-related information of enterprises and provide measurable reference for investors. However, different ESG rating agencies have different rating results for the same enterprise, which brings trouble to users in evaluating company information and formulating relevant investment strategies. This paper takes 2009-2022 Shanghai and Shenzhen A-share listed companies as the research object, and examines the relationship between ESG rating divergence and trade credit financing from the perspective of supply chain financing. The study finds that ESG rating divergence significantly inhibits the trade credit financing of enterprises, which is mainly achieved by aggravating the divergence of analysts ' forecasts and increasing the business risks of enterprises. Heterogeneity analysis shows that ESG rating divergence have a more significant inhibitory effect on trade credit financing in enterprises with high supply chain discourse power, strong supply chain stability and weak development ability. The conclusions of this paper are helpful to understand the economic consequences of ESG rating divergence and enrich the research on the influencing factors of trade credit financing.

Exploring the impact of nocturnal boundary layer stability on wintertime air pollution in a highly polluted basin city using unsupervised learning classification

This study utilizes ten years of wintertime boundary layer meteorological and surface air quality observations to characterize the nocturnal boundary layer (NBL) stability and assess its relationship with air pollution in Taiyuan, a highly polluted basin city in China. An unsupervised learning feature extraction technique known as the self-organizing map (SOM) is applied to objectively classify nocturnal virtual potential temperature (VPT) profiles. The SOM-based classification scheme allows the representation of wintertime day-to-day NBL evolutions by just nine regimes. Special attention is given to four dominant regimes: weak to moderate stability regime (NBL1), cloudy moderate stability regime (NBL3), windy moderate stability regime (NBL7), and strong stability regime (NBL9). These dominant regimes have relatively higher occurrence frequencies (>10%), with the highest frequency associated with the strong stability regime (NBL9) at 25.2%. The diurnal cycles of selected pollutants (CO, NO2, SO2, and PM2.5) exhibit significant distinctions among the different NBL regimes. For instance, in the strong stability regime, CO, NO2, and PM2.5 show explosive growth in the evening due to the accumulation of primary pollutants. However, in the cloudy moderate stability regime, PM2.5 exhibits persistent slow growth throughout the day, likely due to secondary particle formation under high humidity and high SO2 conditions. These findings enhance our understanding of NBL meteorological impacts on surface air pollution in basin cities.

A Lu3Sc2Ga3O12: Eu3+ red-emitting phosphor with excellent optical properties and thermal stability was obtained by partially replacing Lu3+ with Gd3+ / Y3+

A novel red phosphor Lu3(1-x)Sc2Ga3O12: xEu3+(0 ≤ x ≤ 0.3) was successfully prepared by high temperature solid state method. The Lu2.4Sc2Ga3O12: 0.2Eu3+ phosphor shows strong high internal quantum efficiency and thermal stability with values of 64.79 % and 87.0 %, respectively. Based on Lu2.4Sc2Ga3O12: 0.2Eu3+ phosphor, the partial replacement of Lu3+ ions in the host by Gd3+ / Y3+ ions changes the local crystal field environment of Eu3+ ions, resulting in wonderful changes in the luminous center, and the luminous intensity at 593 nm is increased by 3.66 and 3.54 times, respectively. The decay time of Eu3+ ions is analyzed from the perspective of dynamics, and the reasons for the enhancement of luminescence after partial replacement of Lu3+ ions are discussed in detail from two aspects of phosphor structure and crystal field effect around Eu3+ ions. In addition, with the substitution of Gd3+ / Y3+ ions, the thermal stability of the sample is 90.3 %/89.4 % with excellent low thermal quenching. The thermal quenching mechanism is described by combining Debye temperature and activation energy. The sample also has a high internal quantum efficiency IQE=79.03 % / 78.24 %. Finally, under the excitation of 365 nm chip, the phosphors of Lu2.34Sc2Ga3O12: 0.2Eu3+, 0.02Gd3+ and Lu2.34Sc2Ga3O12: 0.2Eu3+, 0.02Y3+ synthesized R-LED device has extremely high color rendering index, Ra is 78.23/77.15 and color temperature is 1640.38 K/1642.97 K. The experimental results show that the Lu2.34Sc2Ga3O12: 0.2Eu3+, 0.02Gd3+ / Y3+ phosphors prepared has a wide application prospect in w-LED devices.

Research on the optimization methods of common points layout for survey and alignment of particle accelerators

As a fourth-generation synchrotron light source based on a diffraction-limited storage ring, Hefei Advanced Light Facility (HALF) puts forward higher requirements for the alignment accuracy of the main components. Aggregated common points result in a loss of accuracy during the coordinate transformation required by accelerator alignment. To address this challenge, we proposed two methods: “aggregated points centralization (APC)" and “uniformity-weighted algorithm (UWA)" according to different usage scenarios. APC combines uniformity with the K-means algorithm to enhance the accuracy of coordinate transformation while reducing the number of common points. UWA calculates the uniformity in different directions and assigns weights to common points, reducing the accuracy loss. Simulations demonstrate that these two methods have strong superiority and stability with significantly improved accuracy. Applications of these 2 methods in the magnet unit pre-alignment experiment and tunnel network measurement show promising results. APC in pre-alignment can reduce the cost of building common points by 26% while maintaining the coordinate conversion accuracy. In tunnel network measurement, accuracy can be increased by 28% using UWA. The methods proposed offer broad applicability in the field of particle accelerator alignment and guiding alignment solutions for HALF.

Adsorption and dissociation of NO on gold–palladium alloy clusters: A density functional theory study

Alloy nanoclusters often exhibit distinctive and exceptional performance, making them especially appealing as catalysts. In this study, the adsorption and dissociation of NO on AumPdn (m + n = 8) clusters was studied using density functional theory (DFT). The most stable structures of AumPdn (m + n = 8) clusters were reported by the CALYPSO search screening program and DFT geometric optimization. The binding energy and bond critical point (BCP) analysis show that alloying could lead to a more compact structure and relatively stronger stability. Molecular electrostatic potential (MESP) analysis revealed that the optimal site for the adsorption of the NO molecule on AumPdn (m + n = 8) clusters was at the top site, with Pd atoms being the preferred choice. Projected density of states (PDOS) calculations demonstrate that the d-band center of the Au5Pd3 cluster was closest to the Fermi level, enhancing the interaction between the cluster surface and adsorbed molecules. The activation energy of NO dissociation on the Au5Pd3 surface is the lowest at 0.48 eV. These findings indicate that the Au5Pd3 nano-alloy cluster shows promise as an effective catalyst in the direct transformation of NO into non-toxic substances.

Phase manipulation in reflective phase gradient photonic crystals

Phase gradient photonic crystals (PGPCs) are proposed as promising candidates for phase manipulation and can enable arbitrary electromagnetic functions, such as deflection and focusing. In stark contrast to the proposed metasurfaces, the phase variation in PGPCs arises from simple edge-configuration rather than structure resonance. Moreover, the reflection magnitude maintains a constant of 1 for the reflective case in the Bragg gap, which affords significant convenience in design. Both theoretical and experimental results demonstrate that the deflector based on reflective PGPCs possesses strong angular stability and is applicable across a broadband frequency range. Our work provides a promising avenue for the implementation of phase manipulation on novel optical platforms, facilitating the development of innovative optical devices with distinctive features in the future.

Efficient separation of SO2/NO2 on in-situ synthesized NaA zeolite membrane

SO2 and NO2 mixture widely exists in the desorbed gas from industrial flue gas adsorption purification process, separating the mixture into pure gas provides the key step for success in recycling them into profitable chemicals. However, effective SO2/NO2 separation is challenged due to the similar properties of both gases. In this work, we report the synthesis of an industrially-favored NaA zeolite membrane and the utilization of this membrane for SO2/NO2 separation in order to address the above-mentioned challenge. Various characterizations illustrate that the in-situ synthesis endows the NaA zeolite membrane with well-intergrown crystals, high continuity, and crystal-comparable thickness. The separation measurements at different feed pressure, temperature, and gas composition demonstrate that the NaA zeolite membrane shows superior separation performance (SO2/NO2 separation factor of 40.0, SO2 permeance of 2.93 × 10−7 mol m−2 Pa−1 s−1 at 293 K and 0.2 MPa) with strong stability (more than 7 d) compared to the previous best-performing zeolite membrane. The strong competitiveness of SO2 over NO2 on the low-silica membrane is revealed through molecular simulation, showing that the great affinity of SO2 with highly-polar zeolite structure benefits the SO2 gas preferential adsorption and energetically barrier-free permeation through the eight-membered ring of NaA zeolite. This work not only showcases an efficient strategy for the SO2/NO2 separation, but also expands the gas separation application of zeolite membranes.

Promising AlN-modified VS2 heterostructure for Li-ion battery anode with high specific capacity

Degradation of the interior structure and the formation of uncontrolled Li dendrites at the negative electrode during the process of detaching and embedding Li atoms in lithium-ion batteries (LIBs) can negatively impact the cycling operation of the battery. To address these shortcomings, we constructed AlN/VS2 heterostructure with the expectation that it can be deployed as anodes in LIBs. Our results show that the AlN/VS2 heterostructure is characterized by strong stability, enhanced electrical conductivity and mechanical properties compared to monolayer AlN and VS2. Small Li clusters and cross-layer adsorption models are not thermodynamically prone to form, implying that the anode material plays a positive role in inhibiting the formation of dendrites. Moreover, the specific capacity of the AlN/VS2 heterostructure is 816.2 mAh/g, which is higher than that of monolayer VS2 (466 mAh/g) and graphene (372 mAh/g). The results of ab-initio molecular dynamics (AIMD) and biaxial stretching further demonstrate the structural and electrochemical stability of the electrode material during the embedding of Li atoms. To sum up, the AlN/VS2 heterostructure show potential as a high-performance anode for utilization in LIBs.

A cascade SPR sensor based on Ag/Au coated coreless optical fiber for RI and pH measurement

Due to the restriction of resonant wavelength, the detection range of traditional two-parameter sensors is greatly limited. To solve this problem, a cascade SPR sensor with Ag/Au coating is proposed to measure refractive index (RI) and pH value. In this paper, coreless optical fiber is used as the sensor probe, and Ag/Au are coated on its surface by a magnetron sputtering method. The two sensing channels of this cascade sensor are independent of each other and have a wide parameter detection range. The effects of sensor length and coating time on the performance of the sensor were investigated, and the optimal sensor length and coating time were determined. The experimental results show that the maximum refractive index sensitivity is 3888.6 nm /RIU in the RI range of 1.333–1.385, and the maximum pH sensitivity is 38.01 nm/pH in the pH range of 3.15–8.86. The sensor has the advantages of strong stability and high integration and has a good application prospect in the fields of biosensing and environmental detection.

Production of novel bio-transfer films composed from polyvinyl alcohol/sodium caseinate enhanced with bonded anthocyanins from poinsettia for minced meat preservation in double sheet system

This research explored the creation of new bio-transfer films composed of Polyvinyl alcohol (PVA), sodium caseinate (SC), and purified anthocyanin extract from poinsettia leaves (PAE). The films underwent evaluation to assess their color, physical characteristics, surface texture, crystalline structure, mechanical strength, and thermal stability. Incorporating up to 0.8% of purified anthocyanin extract (PAE) into the film matrix resulted in an opaque red color (a* = 43.96) and increased the opacity to 3.42 A/mm. This addition also made the films less permeable to water vapor, with a permeability rating of 1.021 (× 10− 10 g.m− 1 s− 1 pa− 1). The film surfaces remained smooth and crack-free at lower concentrations, but became rougher when the PAE concentration reached 1.2%. Fourier transform infrared (FT-IR) analysis indicated physical interactions between the PAE extract and the Polyvinyl alcohol (PVA)/sodium caseinate (SC) matrix. These films demonstrated strong thermal stability. Furthermore, the inclusion of PAE effectively stabilized the pH, total volatile basic nitrogen (TVB-N), and peroxide value (PV) of minced meat during cold storage compared with polypropylene (PP) and un covered samples (UC), showcasing its potential as an exceptional bio-transfer medium for anthocyanins. It was recommended that the utilization of anthocyanin-based bio-transfer films not only reduce minced meat loss during storage but also promotes sustainability efforts in food preservation.

Hydrophobic antireflective coatings based on the synergistic effect of hollow and solid silica for application in photovoltaic modules

Photovoltaic glass coatings with multiple functions, such as strong broad-spectrum antireflectivity, effective self-cleaning, anti-abrasiveness, stability, and durability, have great potential for improving and ensuring the outdoor operation of photovoltaic modules. In this study, alkali-catalyzed hollow and solid silica nanoparticles were mixed at controlled ratios by sol-gel method, and the resulting solution was modified with HMDS to improve hydrophobicity, and obtain refractive indices ranging from 1.45 to 1.13. Subsequently, based on the principle of gradient refractive index, a trilayer hydrophobic antireflective (TLHA) coating was developed, comprising a top layer (n = 1.13), a middle layer (n = 1.27), and a bottom layer (n = 1.44). The TLHA coating exhibited an average transmittance of 97.77 % in the wavelength range of 380–1800 nm, with a peak transmittance of 98.97 % at 572 nm, and a hydrophobic contact angle of 144°. Additionally, after 144 h of thermal cycling and 600 abrasion cycles, the average transmittance of the TLHA coating decreased by 2.43 % and 1.63 %, respectively, in the 380–1800 nm range, and the coating's pencil hardness reached 5 H. And further application results showed that the crystalline silicon micro-modules with the TLHA coating could exhibit a 7.63 % and 5.24 % increase in Jsc, as calculated from EQE and J-V curves respectively, and a 5.34 % increase in PCE, compared to modules without the TLHA coating. These results highlight the extensive applicability of the TLHA coating in enhancing outdoor photovoltaic operation efficiency, durability, and wear resistance.

3D Confinement Stabilizes the Metastable Amorphous State of Antimony Nanoparticles - A New Material for Miniaturized Phase Change Memories?

The wet-chemical synthesis of 3D confined antimony nanoparticles (Sb-NP) at low and high temperatures is described. Using reaction conditions that are mild in temperature and strong in reducing power allows the synthesis of amorphous Sb-NP stabilized with organic ligands. Exchanging the organic ligand 1-octanethiol by iodide enabled to investigate the unusual strong stability of this metastable material through simultaneous thermal analysis combining differential scanning calorimetry and thermogravimetric analysis. Additionally, in situ high temperature powder x-ray diffraction (p-XRD) shows a significant increase in stabilization of the amorphous phase in comparison to thin layered, 1D confined Sb or bulk material. Further, it is shown with scattering-type scanning near-field optical microscopy (s-SNOM) experiments that the optical response of the different phases in Sb-NP make the distinctness of each phase possible. It is proposed that the Sb-NP introduced here can serve as a 3D-confined optically addressable nanomaterial of miniaturized phase change memory devices.

Evaluation of the Coupled Arctic Forecast System’s representation of the Arctic atmospheric boundary layer vertical structure during MOSAiC

Observations from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) were used to evaluate the Coupled Arctic Forecast System (CAFS) model’s ability to simulate the atmospheric boundary layer (ABL) structure in the central Arctic. MOSAiC observations of the lower atmosphere from radiosondes, downwelling longwave radiation (LWD) from a pyranometer, and near-surface wind conditions from a meteorological tower were compared to 6-hourly CAFS output. A self-organizing map (SOM) analysis reveals that CAFS reproduces the range of stability structures identified by the SOM trained with MOSAiC observations of virtual potential temperature (θv) profiles, but not necessarily with the correct frequency or at the correct time. Additionally, the wind speed profiles corresponding to a particular θv profile are not consistent between CAFS and the observations. When categorizing profiles by static stability, it was revealed that CAFS simulates all observed stability regimes, but overrepresents the frequency of near-surface strong stability, and underrepresents the frequency of strong stability between the top of the ABL and 1 km. The 10 m wind speeds corresponding to each stability regime consistently have larger values in CAFS versus observed, and this offset increases with decreasing stability. Whether LWD is over or underestimated in CAFS is dependent on stability regime. Both variables are most greatly overestimated in spring, leading to the largest near-surface θv bias, and the greatest underrepresentation of strong stability in spring. The results of this article serve to highlight the positive aspects of CAFS for representing the ABL and reveal impacts of misrepresentations of physical processes dictating energy, moisture, and momentum transfer in the lower troposphere on the simulation of central Arctic ABL structure and stability. This highlights potential areas for improvement in CAFS and other numerical weather prediction models. The SOM-based analysis especially provides a unique opportunity for process-based model evaluation.

Degradable cellulose acetate-based waterborne polyurethane sand-fixing agents for sand control in desert regions

In hot and arid desert regions, degradable chemical sand-fixing agents are efficient in dealing with problems caused by wind-blown sand movement without damaging the environment. This study aimed to develop a set of biodegradable sand-stabilizing substances, cellulose acetate (CA)-based waterborne polyurethane (WPU), utilizing CA as a partial hydroxyl provision through an acetone-based technique. The findings demonstrate that all the CA/WPU sand-fixing agents had unique, evenly spherical particles and were fully capable of degradation. The CA/WPU-2 sand-fixing agent contained 20 % polypropylene glycol (PPG) of CA. It showed strong viscosity, thermal stability, and water resistance. Furthermore, seed germination will be hindered by the CA/WPU-2 sand-fixing agent due to its superior sand-fixing capability compared to pure WPU. Consequently, it is suitable for application in arid regions where plant survival is difficult. CA/WPU-6 contained 120%PPG of CA. it showed outstanding O2 permeability and hydrophilicity due to its significant use of cellulose acetate. In addition, it demonstrated higher wind-blown sand resistance compared to popular commercial sand-fixation production. Furthermore, it sustained a consolidation strength lower than the highest penetration capability for herbaceous plant seeds. Therefore, CA/WPU-6 is a suitable option for establishing vegetation in dry situations. The results of this study address the demand for sustainable production and cost reduction, offering significant potential for industrial applications.

Design of Consumer Confidence Prediction Index Model based on DEGWO Algorithm

Based on the CCI index released by China Economic Information Network, combined with the DEGWO difference algorithm and BP neural network regression; Constructed a DEGWO-BP synthesis algorithm under machine learning mode to predict and fit consumer confidence index; The empirical results show that the cumulative error of the consumer confidence index using the DEGWO-BP algorithm is the lowest, only 37.8273; The average absolute error of the model is the lowest, and the model has the minimum level of deviation; The model with the minimum extreme deviation value has the strongest stability.

Stabilization of cationic liposomes using hyaluronic acid-modified gold nanoparticles by post-microfluidics conjugation approach for drug delivery applications

lipid-based nanoparticles (LNPs), particularly liposomes, have gained prominence throughout the pharmaceutical sector as a hopeful means for transporting a range of therapeutic agents. Improving LNPs stability is crucial in pharmaceuticals, and drug delivery systems to ensure their effectiveness and reliability. The current research was undertaken to design a pH-responsive hyaluronic acid-modified gold nanoparticle-stabilized cationic liposome (SPC/DOPE/DOTAP) system (HA-SH/AuNPs@liposomes) to improve the stability of liposomes. This was achieved through a post-microfluidics conjugation technique to encapsulate the 5-fluorouracil (5-FU) anticancer drug, usually employed in nonmelanoma skin cancer (NMSC) treatment. Microfluidics is an emerging technology that can be employed as a powerful tool for designing nanoscale liposomes with highly uniform size distributions and acceptable colloidal stability. Utilizing a microfluidics toroidal mixer, affixed HA-SH/AuNPs (size: 12.56 ± 1.65 nm) to positively charged liposomes (size: 75 ± 0.68 nm and PDI: 0.032 ± 0.0021). These liposomes exhibited strong stability, limited fusion propensity, and minimal cargo release at neutral pH. The gold stabilizers detached in an acidic environment, releasing encapsulated therapeutic agents. The dynamic light scattering (DLS) analysis results indicate that HA-SH/AuNPs@Liposomes (size: 102.2 ± 1.3 nm and PDI: 0.11 ± 0.01) exhibit greater stability than bare liposomes over 4 weeks at 4 °C. This enhanced stability can be attributed to the presence of HA-SH/AuNPs in the liposomal structure. This research outlines a systematic method to optimize the size rapidly and PDI of liposomes by employing the Design of Experiments (DoE). The results highlighted that utilizing both the microfluidic technique and gold nanoparticle-stabilized liposomes offers benefits for creating controlled drug release formulations. This approach leads to enhanced biopharmaceutical characteristics and improved scalability of liposomal formulations.

First‐Principles Calculations of Material Properties of CuCrZr Alloy Contacts

CuCrZr alloy is widely used in vacuum circuit breaker contact materials and high‐speed railroad contact wires, etc. The study of the effect of different Cr and Zr contents on the performance of CuCrZr alloy is of great significance for the improvement of circuit breaker's breaking capacity, as well as the load and structural stability under harsh working conditions. In this paper, the mechanical properties, electronic density of states and thermodynamic properties of CuCrZr solid solution alloys randomly doped by different concentrations of Cr and Zr are comparatively analyzed using first‐principles calculations based on density functional theory. The results show that the alloys with different doping compositions have strong mechanical stability, electrical conductivity, and thermomechanical stability, and the reduction of the Cr/Zr doping concentration ratio can improve the toughness and ductility of the alloys, and the solid solution alloy with the composition of CuCr0.06Zr0.19 has the best machinability. The doping of Cr and Zr can improve the thermal stability of the alloy, Cr and Zr can be used as high‐temperature toughening elements for Cu. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Organic Electro-Optic Materials with High Electro-Optic Coefficients and Strong Stability.

The preparation of high-performance electro-optical materials is one of the key factors determining the application of optoelectronic communication technology such as 5G communication, radar detection, terahertz, and electro-optic modulators. Organic electro-optic materials have the advantage of a high electro-optic coefficient (~1000 pm/V) and could allow the utilization of photonic devices for the chip-scale integration of electronics and photonics, as compared to inorganic electro-optic materials. However, the application of organic nonlinear optical materials to commercial electro-optic modulators and other fields is also facing technical bottlenecks. Obtaining an organic electro-optic chromophore with a large electro-optic coefficient (r33 value), thermal stability, and long-term stability is still a difficulty in the industry. This brief review summarizes recent great progress and the strategies to obtain high-performance OEO materials with a high electro-optic coefficient and/or strong long-term stability. The configuration of D-π-A structure, the types of materials, and the effects of molecular engineering on the electro-optical coefficient and glass transition temperature of chromophores were summarized in detail. The difficulties and future development trends in the practical application of organic electro-optic materials was also discussed.