Sufficient Efficiency Research Articles

Concrete members strengthened by adhesive-bolted steel plates: shear behaviour of the composite connection interface

The method of strengthening adhesive-bolted steel plates is widely used in various strengthening projects due to its advantages of slight damage to the original structure, convenient construction, and wide application. However, the strengthening effect is greatly limited by the stripping failure of the steel-adhesive-concrete interface. Some researchers have studied the shear behaviour of the anchor bolts and adhesive layer on the interface. While developing an accurate model to predict the behaviour of the hybrid connection interface is still a large challenge. In this paper, shear tests were carried out on push-out test specimens with three different interface connection forms to investigate the failure mechanism of the adhesive-bolted steel plate composite connection interface. The failure process and failure mode of various interfaces were summarized. Moreover, the ultimate strength, load vs. slips curve, interface strain, and stiffness degradation were discussed. The obtained results indicate that anchor bolts could limit the transfer of interfacial shear stress, and the interface with a larger anchor bolt diameter possesses better plasticity, greater average stiffness, and could bear a high shear force after multiple stripping. The interfacial ultimate shear capacity depends on the relative strength of the anchor bolts and adhesive layer. For the interface with lower strength anchor bolts, the interface strength depends on the strength of the adhesive layer. For the interface with higher strength anchor bolts, the interface strength depends on the anchor bolts and the area of the unpeeled adhesive layer before the failure of the interface. Subsequently, the design method for estimating the shear strength of the interface with sufficient efficiency was proposed based on the data analysis.

Sulfonatocalix[4]arene-Based Scavengers for V-Type Nerve Agents with Enhanced Detoxification Activity.

Synthetic small molecule scavengers that rapidly detoxify nerve agents in vivo allow (pre)treatment of nerve agent poisoning. However, scavengers that detoxify persistent V-type nerve agents at pH 7.4 and 37 °C with sufficient efficiency are still unknown. The most promising compound to date is a monosubstituted sulfonatocalix[4]arene containing a hydroxamic acid group. This compound was used to investigate the effect of structural modifications on detoxification activity. While none of the monosubstituted calixarene derivatives considered in this context possessed higher activity than the parent compound, the disubstituted derivatives were very active, exhibiting half-lives of detoxification under the conditions of an established in vitro assay of <1.5 min. The rate of detoxification decreased with decreasing scavenger concentration, but even at a fourfold molar excess of the scavenger, complete detoxification of 2.5 μM solutions of some nerve agents could be achieved within one hour. These disubstituted calixarene derivatives thus bring synthetic scavengers for V-type nerve agents closer to application.

Blueberry Harvest Mechanisms

Blueberry (Vacciniumcorymbosum L.) is a perennial plant that shed leaves in winter. It is from Ericaceae family and it is in the form of bushes. It grows in temperate climates and its motherland is America. It spread from American culture 110 years ago. It can grow in lightly textured and acidic soil. For this reason, the areas where agriculture can be done are limited. Because the production quantities are not enough, the selling prices are also high (Çelik H., 2008). Grape berries can be harvested by hand and machine. For the Blueberry harvest, harvesters with three different types of harvesting mechanisms were produced. The first blueberry harvester was manufactured in 1956, adapted from a mechanical cranberry picker. This machine had a mechanism consisting of a six-row scraper stick (Farooque A., 2014). These machines with high collection capacity reduce the need for labor and the cost of harvest. Blueberry manual harvesting hectare requires 1300 h of labor, while single row harvesting machine requires 25 h of labor/hectare. Thus, the cost of harvest falls from $ 2.8 per kg to $ 0.26 per kg (Takeda F. et.al., 2017). These machines are not economical for medium and small sized farms. In machine harvest, there are some problems for this plant. These problems are fruit falling on the ground during fruit harvest, the harvest of fruit that has not reached sufficient maturity, fruit and plant damage during picking. A lot of work has been done and continues to be done. However, sufficient harvesting efficiency has not yet been achieved. Blueberry should be harvested with a high quality and long shelf life that will appeal to the consumer.

Finite Element Simulation and Piezoelectric Sensor Array-Driven Two-Stage Impact Location on Composite Structures

Impact monitoring is an effective approach to ensuring the safety of composite structures. The accuracy of current algorithms mostly depends on the number of physical sensors, which is not an economical way for large-area composite structures. In order to combine the advantages of sparse and dense arrays, a two-stage collaborative approach is proposed to locate the general areas and precise positions of impacts on composite structures. In Stage I, the steering vector information of the possible position is simulated according to the principle of array sensor signal processing, and a virtual array sparse feature map is constructed. When an actual impact arrives, a similarity algorithm is then used to find the suspected area in the map, which narrows down the search area to a large extent. In Stage II, a compensated two-dimensional multiple signal classification (2D-MUSIC) algorithm-based imaging method is applied to estimate the precise position of the impact in the suspected area. Finally, the accuracy and effectiveness of the proposed method are validated by numerical simulation and experiments on a carbon fiber composite panel. Both numerical and experimental results verify that the two-stage impact location method can effectively monitor composite structures with sufficient accuracy and efficiency.

A new universal camouflage attack algorithm for intelligent speech system

The security problems in intelligent speech systems have been extensively investigated. In this paper, we propose a new more generic and more efficient attack method that can be used to promote the security of intelligent speech systems. By turning the attack target into a holistic intelligent speech system, we discovered security threats in speech resampling and risks in deep model normalization layers, and designed CA-ISS algorithms based on these two security risks. CA-ISS algorithm results in semantic content changes after speech resampling and launches an attack by creating cognitive differences between human and deep models. This paper also upgrades to the limitations of CA-ISS algorithm to attack the cloud platforms. Six intelligent speech systems are used to verify the effectiveness of CA-ISS in experiments. Experimental results demonstrate that the CA-ISS algorithm has sufficient generalisability, efficiency, and camouflage. Finally, the principle of CA-ISS algorithm is analyzed based on multiple visualization algorithms and the camouflage effect of the attack samples is evaluated.

Phosphonate-Substituted Pyrazinoporphyrin - a General Photocatalyst for Efficient Sulfoxidation.

An exceptional efficiency of pyrazine-annelated porphyrin as a general photocatalyst for the oxidation of organic sulfides is demonstrated. It is shown that phosphonate-substituted pyrazinoporphyrin 2H-1 brings together sufficient photostability and high efficiency in the aerobic photooxidation of a series of various sulfides. The influence of the reaction conditions onto the efficiency of homogeneous sulfide photooxidation in the presence of the photosensitizer (PS) was investigated and strong dependence on the solvent system was observed. The use of methanol is required for the photocatalytic sulfoxidation and the ratio of the alcohol/other solvent can significantly affect the conversion and selectivity of the reaction. The application of the prepared PS in 0.001 mol % loading allowed achieving complete conversion (97-100 %, turnover number up to 1,00,000, turnover frequency up to 6250 h-1) of substrates bearing substituents of different nature, namely aromatic and aliphatic sulfides with donor or acceptor substituents and substituents prone to oxidation, as well as cyclic sulfides. The selectivity of the of the corresponding sulfoxides formation of 96-100 % was revealed. Finally, a gram-scale synthesis of several sulfoxides was successfully performed with the PS under investigation, providing desired products in 66-96 % yield with over 98 % purity.

Mediation in Public-Law Disputes: an Innovative Approach to the Protection of Human Rights

The relevance of the research topic is explained by the need to improve instruments for resolving public law disputes in the context of new challenges in the field of human rights protection. Mediation attracts attention as a potentially effective tool for resolving such disputes, especially when traditional judicial procedures do not provide sufficient fairness and efficiency, thereby reducing citizens’ trust in the judicial system. The use of mediation promotes more effective implementation of constitutional provisions and offers new mechanisms for the protection of citizens’ rights, ensuring flexibility and an individual approach to each specific dispute. The purpose of the research is to analyse mediation as a tool for resolving public law disputes and to determine its role and effectiveness in protecting human rights in Ukraine. Achieving this goal was made possible through the use of scientific methods, in particular, the systemic method (to consider mediation as a holistic phenomenon within the legal system), the formal-legal method (to analyse the relevant legal acts), the methods of analysis and synthesis (to detail specific aspects of the problem and generalise the obtained data), and the method of generalisation (to form general conclusions and recommendations). The research results showed that mediation has significant potential to improve the process of resolving public law disputes and to enhance the level of human rights protection. Its application facilitates faster and more efficient conflict resolution, reduces financial and time costs, and helps preserve relationships between the parties, contributing to the development of a culture of peaceful dispute settlement. The introduction of mediation into Ukrainian legal practice can significantly increase the effectiveness of citizens’ rights protection and trust in state institutions. Further scientific research includes the development of specific recommendations for the regulatory support of mediation in public law disputes in Ukraine, adaptation of best international practices to the national context, analysis of potential obstacles, and ways to overcome them. Research into the effectiveness of mediator training and raising citizens’ awareness of mediation possibilities can facilitate the wider implementation of this tool.

Анализ возможностей метода оценки кривой «поток–объем» по изменению ее формы при обструкции бронхов

In case of obstructive disorders, the flow–volume curve has a concave shape, but this feature is not given due attention. Тhe analysis of the velocity indicators of the respiratory function (such as the peak expiratory flow (PEF) and forced expiratory flows (FEFs)) will significantly expand the diagnostic capabilities of the spirometry method. This paper aims to perform a comparative analysis of the diagnostic strength of the methods of the flow-volume curve assessment by the changes in its shape in patients with obstructive airway diseases to determine the most reliable one. The respiratory function of 540 patients was tested (234 are men (57 [36; 67] years) and 306 are women (59 [44; 69] years)), with the ratio of areas under the actual curve and the predicted curve calculated for each one, as well as the angle formed by the curve; the ratio of the actual FEF (henceforth referred to as FEF) to the predicted FEF, cut-off points to differentiate between obstructive diseases and health. On the basis of these results, we concluded whether the patient’s bronchi were blocked. The results were then compared to the Knudson reference equations, with the test’s operational characteristics calculated compared to the standard. The methods of assessing the angle β and the total concavity of the flow-volume curve have high diagnostic sensitivity (87.8% and 95.6% respectively). The assessment of the area under the curve (AEX-FV) has high diagnostic specificity (88.6%). The results obtained show sufficient diagnostic efficiency of the methods of flow-volume curve estimation by the changes in its shape. However, the use of these methods in isolation from the reference equations does not currently seem reasonable for clinical practice. It appears reasonable to use the reference equations and one of the methods of curve shape assessment together.

Efficiency criteria and dual techniques for some nonconvex multiple cost minimization models

In this study, we investigate a class of multi-objective variational control problems governed by nonconvex simple integral functionals. Concretely, we establish and prove (necessary and sufficient) efficiency criteria and dual techniques for some nonconvex multiple cost minimization models. To this aim, we extend and use the concept of (Ψ,ω)-invexity to the case of multi-objective variational control problems. Thereafter, by assuming (Ψ,ω)-invexity, (strictly) (Ψ,ω)-pseudoinvexity and/or (Ψ,ω)-quasiinvexity of the involved functionals, we state the sufficient efficiency criteria and associate a dual problem for the considered model.

Investigating the Response Mechanism of Vertical Concrete Structures to Alternating Horizontal and Lateral Loads

The improper performance of columns in concrete buildings designed and built in the past years has caused concern and attention to their vulnerability to collapse. The investigation of the damages caused to the structures after various earthquakes and the research conducted during these years have caused changes in the design practices to achieve ductile behavior in the columns. Most of the efforts have been made in these years to improve the design criteria, but the effect of the axial force or the loss of the axial capacity of the columns in the existing buildings built in the past years is still unknown. Most of these columns have transverse reinforcements with large distances, which provide little lateral resistance for the longitudinal reinforcements and also little confinement for the concrete in seismic loads. Many of these columns are not accepted according to the rules of today's regulations. In these columns, not only determining the shear capacity but also the ability of the column to withstand the axial force after the shearing is of great importance. The failure of such columns is due to shear deformations that lead to shear failure and then axial failure. At first, a comprehensive review is done of the studies of other researchers. In this review, we try to collect the analytical and laboratory studies available in the technical literature. These studies are related to the testing of concrete columns until the time of gravitational collapse and the behavior models of the columns until this limit state. Then, according to the collected information and their analysis, several columns will be designed and built for laboratory study. These columns are designed to represent the condition of columns in old concrete buildings. The comparison between the analytical and laboratory results of the 6 tested column samples shows a good agreement between them. As a result, the proposed method has sufficient accuracy and efficiency to determine the effective stiffness of columns.

A novel machine learning framework for impact force prediction of foam-filled multi-layer lattice composite structures

Numerical simulations can provide valuable insights for the optimization of design and operational management; however, they are often impractical and computationally intensive. Machine learning methods are appealing to these problems due to their sufficient efficiency and accuracy. In this study, a novel framework for predicting the impact responses of foam-filled multi-layer lattice composite structures (FMLCSs) was proposed by combining the accurate finite element (FE) analyses, surrogate models, fast Fourier transform (FFT) method, and inverse FFT (IFFT) method. Firstly, reliable FM models were established to simulate the crashworthiness of the five FMLCSs under impact loading, including an analysis of energy transformation. Subsequently, surrogate models, namely radial basis function (RBF), polynomial response surface (PRS), Kriging (KRG), and back propagation neural network (BPNN), combined with methods of FFT and IFFT, were employed to predict the impact force-time series of the FMLCSs. More than 1000 frequency points were employed for each type of FMLCS, and all the R-square (R2) values of the established surrogate models exceeded 0.95, indicating that the proposed framework accurately predicted the impact duration and impact responses in the frequency domain. In addition, parameter sensitivity analysis revealed that a high peak impact force was accompanied by a short impact duration. Moreover, increasing the lattice-web height resulted in a significant increase in the impact duration.

Design and kinematics of a novel rigid-flexible coupling hybrid robot for aeroengine blades in situ repair

PurposeThis paper aims to present the mechanical design and kinematics of a novel rigid-flexible coupling hybrid robot to develop a promising aeroengine blades in situ repair technology.Design/methodology/approachAccording to requirements analysis, a novel rigid-flexible coupling hybrid robot is proposed by combining a three degrees of freedom (DOF) parallel mechanism with a flexible continuum section. Then the kinematics models of both parallel mechanism and flexible continuum section are derived respectively. Finally, based on equivalent joint method, a two-step numerical iterative inverse kinematics algorithm is proposed for the whole robot: (1) the flexible continuum section is equivalently transformed to a 2-DOF spherical joint, thus the approximate analytical inverse kinematic solution can be obtained; (2) the accurate solution is derived by an iterative derivation of both parallel mechanism and flexible continuum section.FindingsTo verify structure scheme and the proposed kinematics modeling method, numerical simulations and prototype experiments are implemented. The results show that the proposed kinematics algorithm has sufficient accuracy and computational efficiency in the whole available workspace, that is end-effector position error and orientation error are less than 0.2 mm and 0.01° respectively, and computation time is less than 0.22s.Originality/valueA novel rigid-flexible coupling hybrid robot for aeroengine blades in situ repair is designed. A two-step numerical iterative inverse kinematics algorithm is proposed for this unique hybrid robots, which has good accuracy and computational efficiency.

MDM‐Incorporated Quad Donut Modes OCDMA‐FSO Scheme for Secure High‐Altitude Platforms‐To‐Satellite Scenarios

ABSTRACTThe next generation of communication networks is envisioned to be driven by high‐altitude platform (HAP)‐to‐satellite systems. License‐free narrow beam free space optics (FSO) can provide uninterrupted connectivity in satellite‐enabled Internet of Things scenarios. This work proposes a HAP‐to‐satellite hybrid mode division multiplexing–optical code division multiple access (MDM‐OCDMA) scheme employing zero cross‐correlation (ZCC) and multidiagonal (MD) codes. In high‐speed satellite communications, a 12 × 10‐Gbps hybrid MDM‐OCDMA scheme carrying four donut modes (0, 1, 2, and 3) enables high channel capacity, sufficient spectral efficiency, and data security under severe link conditions. Based on simulations, the hybrid MDM‐OCDMA scheme using the ZCC code achieves a greater FSO link distance of 420 m compared with when using the MD code at a 10e‐9 error correction limit under clear air and weak turbulent scenario. The reliable transmission distance of 250 m is achievable with the 120‐Gbps proposed system, assuming pointing errors of 2 mrad, 1‐dB receiver, and 2.5‐dB transmitter losses. The results also show that the system can sustain an additional loss of 1.5–2 dB over 250 m for all donut modes. Additionally, the system using ZCC code contributes to low power consumption over MD and variable weight ZCC code and thus requires a minimum received power of −4.02 dBm. It also offers high optical signal to noise of 42–52 dB, −11.58 to −22.20 dB of gain, 11.58–22.20 dB of noise figure, and −48.11 to −58.73 dBm of signal power at output over 200–700 m range up to 2 dB of additional loss. Comparative analysis indicates that the proposed system is more efficient, less complex, adequately distance‐friendly (=420 m), and capable of higher data rates (=120 Gbps) compared with other works. This makes it a promising solution for future high‐speed satellite communications considering the impact of link losses and atmospheric conditions.

Expanding the “Terpenome”: Applications of Unspecific Peroxygenases (UPOs) in Oxidations of Unnatural Terpenoids

AbstractAn unnatural tricyclic oxaterpenoid, obtained by treatment of the sesquiterpene synthase presilphiperfolan‐8β‐ol synthase (BcBOT2) with an unnatural farnesyl pyrophosphate ether derivative, itself obtained by chemical synthesis, was converted in oxidation studies as part of a broad screening program by selected unspecific peroxygenases (UPOs). Product analysis revealed that Agrocybe aegerita UPO, its mutant PaDa‐I, and two commercial ones, UPO54 and UPO49, provided new oxidation products with sufficient efficiency for subsequent upscaling that allowed product isolation and structure elucidation. As such new terpene‐based oxiranes and hemiacetals were formed by UPO‐mediated epoxidations and CH‐activation. The structure elucidation was further supported by comparison with products generated by chemical oxidation.

9303 Evaluation of The Consistency of Thyroid Indicators Tests in Minimally Invasive Peripheral Blood and Venous Blood

Abstract Disclosure: Z. Zhu: None. Y. Huang: None. Z. Cao: None. L. Zhang: None. D. Wang: None. S. Wang: None. J. Zhang: None. Y. Gao: None. Y. Zhang: None. Background The detection of thyroid indicators is of high demand in clinical and epidemiological screenings. Compared with existing venous blood tests, peripheral fingertip blood tests are less invasive and have a lower blood collection volume, which is the basis for point-of-care tests of thyroid indicators. Objective To explore the feasibility of minimally invasive and micro blood collection tests for thyroid disease (TD) patients by evaluating the consistency of thyroid indicators and TD diagnostic efficiency between fingertip blood tests and venous blood tests. Method 63 subjects with or without thyroid dysfunction were consecutively recruited. All subjects underwent serum, plasma and fingertip blood (same day collection) measurements for TSH and TT4 detection via the chemiluminescence method and for TPOAb detection via the electrochemiluminescence immunoassay method. The fingertip blood was centrifuged and diluted after EDTA anticoagulation. Bland–Altman plot, Passing–Bablok regression, and weighted kappa test were used for consistency test; AUC of ROC curve, sensitivity and specificity were used for authenticity evaluation among the three collection and testing methods. Results 43 subjects with euthyroidism and 20 subjects with thyroid dysfunction were included; including 29 (46.03%) females, the average age was 50.98±14.76 years. Bland-Altman plots showed more than 90% of the subjects had TSH and TT4 differences within the 95% limits of agreement between peripheral blood (PB) and venous blood (including serum and plasma). Passing–Bablok regression analyses revealed strong correlations between TSH levels in PB and serum (r=0.888) and plasma (r=0.894) (p&amp;lt;0.05); for TT4, there was a strong correlation between PB and serum (r=0.746), and there was also a moderate correlation between PB and plasma (r=0.664) (p&amp;lt;0.05 for both). Weighted kappa tests were performed for low, normal and high TSH values, indicating strong consistency between PB and serum and between PB and plasma, with coefficients of 0.901 and 0.881, respectively (P&amp;lt;0.001); for TT4, the coefficients between PB and serum, PB and plasma were 0.541 and 0.585 (P&amp;lt;0.001), indicating moderate consistency. Regardless of TPOAb positivity or negativity, the consistency among three blood sample sources was 100%. For euthyroidism (n=43), hyperthyroidism (n=6), subclinical hyperthyroidism (n=9), hypothyroidism (n=1), and subclinical hypothyroidism (n=4), the diagnostic sensitivities of PB were 97.06%, 83.33%, 87.50%, 100%, and 75.00%, respectively; the specificities were 94.74%, 97.87%, 95.74%, 98.11%, and 100.00%, respectively. The AUC of PB ROC curve for determining thyroid dysfunction was 0.944 (95% CI 0.867-1.000). Conclusion PB tests of thyroid indicators has high consistency with venous blood tests, offers sufficient diagnostic efficiency for TD, and is a feasible minimally invasive detection method. Presentation: 6/1/2024

7583 Evaluation of The Consistency of Thyroid Indicators Tests in Minimally Invasive Peripheral Blood and Venous Blood

Abstract Disclosure: Z. Zhu: None. Y. Huang: None. Z. Cao: None. L. Zhang: None. D. Wang: None. S. Wang: None. J. Zhang: None. Y. Gao: None. Y. Zhang: None. Background: The detection of thyroid indicators is of high demand in clinical and epidemiological screenings. Compared with existing venous blood tests, peripheral fingertip blood tests are less invasive and have a lower blood collection volume, which is the basis for point-of-care tests of thyroid indicators. Objective To explore the feasibility of minimally invasive and micro blood collection tests for thyroid disease (TD) patients by evaluating the consistency of thyroid indicators and TD diagnostic efficiency between fingertip blood tests and venous blood tests. Method 63 subjects with or without thyroid dysfunction were consecutively recruited. All subjects underwent serum, plasma and fingertip blood (same day collection) measurements for TSH and TT4 detection via the chemiluminescence method and for TPOAb detection via the electrochemiluminescence immunoassay method. The fingertip blood was centrifuged and diluted after EDTA anticoagulation. Bland–Altman plot, Passing–Bablok regression, and weighted kappa test were used for consistency test; AUC of ROC curve, sensitivity and specificity were used for authenticity evaluation among the three collection and testing methods. Results 43 subjects with euthyroidism and 20 subjects with thyroid dysfunction were included; including 29 (46.03%) females, the average age was 50.98±14.76 years. Bland-Altman plots showed more than 90% of the subjects had TSH and TT4 differences within the 95% limits of agreement between peripheral blood (PB) and venous blood (including serum and plasma). Passing–Bablok regression analyses revealed strong correlations between TSH levels in PB and serum (r=0.888) and plasma (r=0.894) (p&amp;lt;0.05); for TT4, there was a strong correlation between PB and serum (r=0.746), and there was also a moderate correlation between PB and plasma (r=0.664) (p&amp;lt;0.05 for both). Weighted kappa tests were performed for low, normal and high TSH values, indicating strong consistency between PB and serum and between PB and plasma, with coefficients of 0.901 and 0.881, respectively (P&amp;lt;0.001); for TT4, the coefficients between PB and serum, PB and plasma were 0.541 and 0.585 (P&amp;lt;0.001), indicating moderate consistency. Regardless of TPOAb positivity or negativity, the consistency among three blood sample sources was 100%. For euthyroidism (n=43), hyperthyroidism (n=6), subclinical hyperthyroidism (n=9), hypothyroidism (n=1), and subclinical hypothyroidism (n=4), the diagnostic sensitivities of PB were 97.06%, 83.33%, 87.50%, 100%, and 75.00%, respectively; the specificities were 94.74%, 97.87%, 95.74%, 98.11%, and 100.00%, respectively. The AUC of PB ROC curve for determining thyroid dysfunction was 0.944 (95% CI 0.867-1.000). Conclusion PB tests of thyroid indicators has high consistency with venous blood tests, offers sufficient diagnostic efficiency for TD, and is a feasible minimally invasive detection method. Presentation: 6/1/2024

A review on recent applications of machine learning in mechanical properties of composites

AbstractComposites are undergoing extensive research and utilization due to their excellent mechanical properties, driven by human needs. Traditionally, the research methods in materials science predominantly rely on empirical theory or experimental trial and error approaches. However, the increased complexity of composite materials results in a greater intricacy in their mechanical behavior. Consequently, the utilization of traditional research methods may not achieve sufficient efficiency. Materials science is rapidly transitioning into a data‐driven era, with machine learning (ML) emerging as a potent tool to expedite materials development and enhance properties prediction. Significant advancements have been achieved in the application of ML to the study of composite mechanics. In this review article, we elucidate various ML methods employed in the construction of constitutive models for isotropic and anisotropic composites, and delve into the research on construction ML models that leverage input data derived from composite processes, structures, and environmental conditions to predict material mechanical properties. Additionally, we summarize recent noteworthy ML applications in composite design and optimization. Finally, possible prospective viewpoints are proposed for future development, with the aim of providing essential scientific guidance for advancing material science and technology through ML.Highlights Machine learning can address complexity in constitutive model of the anisotropic composites. Machine learning predicts mechanical properties of composites well by process and structure. Machine learning enhances efficiency in inverse design to optimize composites. Limitations, challenges, development trends of ML in composites.

Bismuth-Cyclized Cell-Penetrating Peptides.

Intracellular delivery of biological cargos, which would yield new research tools and novel therapeutics, remains an active area of research. A convenient and potentially general approach involves the conjugation of a cell-penetrating peptide to a cargo of interest. However, linear CPPs lack sufficient cytosolic entry efficiency and metabolic stability, while previous backbone cyclized CPPs have several drawbacks including the necessity for chemical synthesis and posttranslational conjugation to peptide/protein cargos and epimerization during cyclization. We report here a new class of bismuth cyclized CPPs with excellent cytosolic entry efficiencies, proteolytic stability, and potential compatibility with genetic encoding and recombinant production.

Physiology, Not Nutrient Availability, May Have Limited Primary Productivity After the Emergence of Oxygenic Photosynthesis.

The evolution of oxygenic photosynthesis in Cyanobacteria was a transformative event in Earth's history. However, the scientific community disagrees over the duration of the delay between the origin of oxygenic photosynthesis and oxygenation of Earth's atmosphere, with estimates ranging from less than a hundred thousand to more than a billion years, depending on assumptions about rates of oxygen production and fluxes of reductants. Here, we propose a novel ecological hypothesis that a geologically significant delay could have been caused by biomolecular inefficiencies within proto-Cyanobacteria-ancestors of modern Cyanobacteria-that limited their maximum rates of oxygen production. Consideration of evolutionary processes and genomic data suggest to us that proto-cyanobacterial primary productivity was initially limited by photosystem instability, oxidative damage, and photoinhibition rather than nutrients or ecological competition. We propose that during the Archean era, cyanobacterial photosystems experienced protracted evolution, with biomolecular inefficiencies initially limiting primary productivity and oxygen production. Natural selection led to increases in efficiency and thus primary productivity through time. Eventually, evolutionary advances produced sufficient biomolecular efficiency that environmental factors, such as nutrient availability, limited primary productivity and shifted controls on oxygen production from physiological to environmental limitations. If correct, our novel hypothesis predicts a geologically significant interval of time between the first local oxygen production and sufficient production for oxygenation of environments. It also predicts that evolutionary rates were likely highly variable due to strong environmental selection pressures and potentially high mutation rates but low competitive interactions.

The Relationship Between Economic Integration, Economic Growth and High Technology: Eurasian Economic Integration and Turkey

Abstract Subject and purpose of work Economic integration is an extremely important institutional structure for countries in international trade, which is highly competitive, with the level of globalisation, innovation and communication technology. Materials and methods Economic integration, which leads to the formation of a resilient economic wall, such as risk sharing, increasing investment opportunities, free trade structure, technology transfer opportunities, common competitiveness against countries outside the union, began in the modern world with the Second World War, and examples began to be seen around the world in the 1990s when globalisation accelerated. The analysis was carried out using the Todo-Yamamoto method in the SPSS program. Results Due to its geopolitical position (both historical and geographical proximity to Europe, Asia and the Middle East), Turkey is in a more advantageous position than other countries in the world in terms of establishing or becoming economically integrated. However, Turkey’s history of economic integration has been rather unsuccessful. The fact that it has not made a sufficient contribution to the integration it has established or attempted to become a member of, and that it has become a unipolar rather than a multipolar integrator, means that it has not achieved sufficient efficiency in terms of international trade. For this reason, our study analyses Turkey’s relationship with Eurasian economic integration, with the idea that Turkey is striving for multipolar integration. In our study, the impact of the Eurasian Economic Integration’s foreign trade with Turkey on Turkey’s economic growth and exports of high-tech products was analysed with the Todo-Yamamoto Co-Integration Test in two periods, 2002-2015 and 2015-2022. Conclusions As a result of the analysis, it is found that Eurasian Economic Integration has a positive effect on Turkey’s economic growth and exports of high-tech products. In the light of the data obtained, it has been assessed that the expansion of economic integration relations with the EEE and the benefits to be derived from the membership relationship will contribute to both Turkey’s economic growth and its technological infrastructure.