Important Value Research Articles

Discerning the Multi-dimensional Role of Salicin: Bioactive Glycoside Beyond Analgesic: Different Perspectives

: Salicin is a glycoside that can be found in several Salix and Populus species. Salicin is also connected to the glycoside populin, commonly known as benzoyl Salicin, in the Salicaceae tree barks. D-glucose is a component of the alcoholic glycoside Salicin (C13H18O7). The willow tree, as well as other trees like poplar and aspen, contains the natural chemical Salicin, which is a member of the salicylate family. Salicin is an anti-inflammatory and analgesic used in conventional medicine, and it served as the inspiration for the creation of aspirin. This molecule may have important human pharmacological actions that need to be considered in determining the efficacy and safety of willow herbal medicines. The extracts obtained from the bark of the tree, belonging to the Saliceae family in different solvents have been known for possessing many important medicinal values by potent pharmacological actions. The current effort deals with exquisite detailed aspects and concerns related to Salicin, which will be fruitful for the futuristic approaches to Salicin.

Research on Power Angle Characteristics of One-Machine Infinite-Bus Power Systems of Mixed Gauss and Poisson Stochastic Excitation

Background: A high percentage of renewable energy and a high percentage of power electronic devices are connected to the power system, which leads to the diversification and complexity of stochastic excitation, and the traditional single-excitation stochastic model is no longer applicable. Objective: The study aimed to solve the problem that the high proportion of renewable energy and the high proportion of power electronic equipment are connected to the power system, which leads to the diversification and complexity of stochastic excitation and makes the traditional stochastic model of single excitation no longer applicable. Methods: Firstly, stochastic differential equations for power systems have been modelled with mixed Gaussian white noise and Poisson white noise excitation. Secondly, the Milstein-Euler predictor-corrector method has been developed to solve the stochastic differential equation model of the power system. Finally, the influence of Gauss white noise and Poisson white noise on the power system stability under different excitation intensities has been analyzed. The rationality and correctness of the model have been verified by the simulation of a one-machine infinitebus (OMIB) system. Results: The stochastic differential equation model of a power system with Gauss white noise and Poisson white noise excitation has been established and its angle stability has been analyzed. Increasing the Gaussian white noise and Poisson white noise excitation intensity can lead to an increase in the fluctuation of the power angle curve, as well as an increase in the standard deviation and expected value of the power angle mean curve, which may decrease the stability of the power system. Conclusion: This study provides a reference for stochastic power systems modeling and efficient simulation, and has important application value for power system stability assessment and safety evaluation as well as related patent applications.

The Moderating Role of Collectivism on Physical Activity and Family Support: A Cross-Sectional Design.

An important value among Korean Americans is collectivism or giving a group priority over the individual. This value, family support, and demographic characteristics have been reported to influence health behaviors among this group. Yet, no study has examined how collectivism, family support, and demographic characteristics interact with each other and then influence physical activity among Korean American adults. The purpose of the study was to examine the association between family support and physical activity, and the moderating role of demographic characteristics and collectivism on this association among Korean American adults. A descriptive, cross-sectional study was conducted with a sample of 110 Korean American adults 18 years and older, residing in a Southwestern city in the United States. Self-administered questionnaires were used to measure demographics, collectivism, family support, and physical activity. Data analysis using a zero-inflated negative binomial regression model revealed a positive relationship between family support and physical activity, while age and gender were moderators of the relationship between family support and physical activity. Collectivism was positively related to physical activity and moderated the relationship between family support and physical activity. These findings indicate the significance of collectivism and family support that influence Korean American adults' physical activity.

A deep learning framework for accurate diagnosis of colorectal cancer using histological images

Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide, with high mortality and incidence rates. Early detection of the disease may increase the probability of survival, making it critical to develop effective procedures for precise treatment. In the past few years, there has been an increased use of deep learning techniques in image classification that aid in the detection of various types of cancer. In this study, convolutional neural network (CNN) models were used to classify colorectal cancer into benign and malignant. After applying various data preprocessing techniques to the image dataset, we evaluated our prototypes using three distinct subsets of testing data, representing 20%, 30%, and 40% of the total dataset. Additionally, four pre-trained CNN models (ResNet-18, ResNet-50, GoogLeNet, and MobileNetV2) were trained, and the network architectural techniques were compared by applying the Adam optimizer. Finally, we assessed the performance of algorithms in terms of accuracy, sensitivity, specificity, precision, F1-score, and area under the receiver operating characteristic (ROC) curve (AUC). In this research, deep learning approaches demonstrated high efficacy in accurately diagnosing colorectal cancer. This indicates that these techniques have an important and significant value for advancing medical research.

Emotive dominants of literary text: functional status

The article is devoted to the value-semantic space of a literary text in the implementation of emotive dominants that reflect the author’s intention. The purpose of the study is to determine the functional status of emotives of different levels of text affiliation. The priority research methods are the methods of textual analysis and philological interpretation, which allows us to consider a literary text, including outside the explication of the author’s assessment, as the realization of important value meanings of the character and the author, which have an emotional impact on the reader. During the analysis of the text of the story by A.P. Chekhov’s ‟The Black Monk” it was revealed that the functional status of emotive dominants is generally limited by the functions of the character’s emotional assessment and the pragmatic impact of emotive meanings on the reader. Textual emotiveness is capable of representing not only the momentary states of the characters associated with one or another episode of plot action. The author deliberately saturates the description of such situations with emotive markers, which correlate the emotional and spiritual experience of the reader and the character, which helps to activate the recipient’s memories and a new experience of the events described in the literary text. Implicity of emotive meanings in the story by A.P. Chekhov’s ‟The Black Monk” allows us to focus the reader’s attention on the value meanings of the text, which are only indirectly determined in their formation by external plot events. Analysis of the emotive dominants of the text of the story “The Black Monk” helps to identify not only the functional-semantic nature of the category of emotiveness, but also its plot- and text-forming role in a literary text, which opens up broad prospects in the study of textual emotiveness.

New insights into the stipitate hydnoid fungi Sarcodon, Hydnellum, and the formerly informally defined Neosarcodon, with emphasis on the edible species marketed in Southwest China

Sarcodon and Hydnellum are two ectomycorrhizal genera of important ecological and economic value in Southwest China, and they are common in the free markets in this region. It was estimated that more than 1,500 tonnes of them were sold as edible per year, but there was little information about the taxonomic placements of these edible mushrooms sold in the markets. Traditional concepts of the two genera have also been challenged recently, and circumscription of Sarcodon and the informally defined clade “Neosarcodon” remained unresolved. In the present study, specimens collected in the field and purchased from the markets in Southwest China were analyzed based on morphological characters and DNA sequences. Phylogeny of the traditional Sarcodon s. lat. and Hydnellum s. lat. was reconstructed from the combined internal transcribed spacer (ITS), nuclear large ribosomal subunit (nLSU) and RNA polymerase II second largest subunit (RPB2) dataset based on expanded samples to reevaluate the taxonomic placements of the two genera. In the present molecular analyses, four distinct clades were recovered and strongly supported: Hydnellum, Neosarcodon, Phellodon and Sarcodon. Neosarcodon is formally introduced as a generic name to include nine species previously placed in Sarcodon, and the delimitation of Sarcodon is revised based on phylogenetic and morphological studies. Phylogenetic analyses also revealed an unexpected species diversity (17 phylogenetic species) of Sarcodon and Hydnellum in the markets; nine phylogenetic species of Sarcodon and eight of Hydnellum were uncovered from the samples collected in the markets. Eight species were resolved in the traditional S. imbricatus complex, with S. imbricatus s.str. being the most common edible stipitate hydnoid fungal species. Three of the edible Hydnellum species (H. edulium, H. subalpinum, and H. subscabrosellum), and five separated from the S. imbricatus complex (Sarcodon flavidus, S. giganteus, S. neosquamosus, S. nigrosquamosus, and S. pseudoimbricatus), are described as new. Three new Chinese records (H. illudens, H. martioflavum, and H. versipelle), and the notable S. imbricatus and S. leucopus are also reported.

Quadrat soil pollen signal reflects plant important values in forests and shrublands from subtropical China.

Pollen analysis, a crucial tool in botany and ecology for examining historical biotic dynamics, has elicited debate owing to its complex link with vegetation. The challenge lies in discerning the ecological significance of pollen data. In this study, we conducted detailed quadrat surveys on Jinhua Mountain, subtropical China, analyzing topsoil pollen to determine whether pollen signals accurately reflect key ecological components in the forests and shrublands. We performed direct comparisons between pollen and plant compositions and calculated pollen percentages and plant Important Values (IVs) for each quadrat. The results indicate greater homogeneity in pollen composition across the study area compared to plant composition, particularly in the high percentage of Pinus pollen. However, distinct plant communities exhibited significantly different pollen compositions, as evidenced by the multi-response permutation test. This divergence aligns with variations in the dominant plant species across different communities. There were significant correlations between pollen percentages and plant IVs, with correlation coefficients of 0.55 (p < 0.001) at the quadrat level and 0.78 (p < 0.001) at the taxon level. These results support the utility of pollen analysis for representing ecologically significant values in subtropical Chinese forests and shrublands. Such correlations might also be extrapolated to pollen-based paleoecological studies.

Detection of Bacterial Diversity of Various Habitats in Çorum Province and Its Criminalistics Contribution to Possible Crime Scene Studies

Microorganisms are not homogeneously distributed in environments, soil systems are heterogeneous. Soil can be an important evidence value in forensic investigations. It is among the important evidences that contribute to the solution of forensic events in forensic sciences. Bacteria contained in the soil are microbiological evidences. Not all bacteria can be cultured by conventional methods and the amount of cultured bacteria remains limited. Metagenomic studies have been carried out for non-culturable Bacteria. The aim of this study is to perform DNA isolation from soil samples taken from Yeşil Lake (swamp), Faculty of Arts and Sciences garden, agricultural land, Sıklık (forest area) regions of Çorum Province in Türkiye and to determine bacterial diversity by metagenomic analysis of DNA isolated from soil samples. Density and differences of isolates according to habitats were determined. It is thought that the result of this study can shed light on previous crime scene studies in the determined habitats and will contribute to possible future crime scene studies and forensic science that may occur later.

Clinical value of CT imaging features in the diagnosis of acute and chronic pancreatitis: A retrospective study.

Recurrent acute pancreatitis is a common acute abdominal disease in surgery. To evaluate the radiographic features of pancreatic computed tomography (CT) imaging in the diagnosis of acute and chronic pancreatitis. 48 pancreatitis patients who met the criteria were selected in this retrospective study from 2010 to 2019. Each diagnosis was evaluated as functional abdominal pain, recurrent acute pancreatitis, or chronic pancreatitis. All clinical data were collected from the patient's medical records. 54 radiological features were extracted from each region of interest in outline the pancreas and divided into five categories: first order statistics, the gray level co-occurrence matrix (GLCM), the gray level run-length matrix (GLRLM), the neighborhood gray level difference matrix (NGTDM), and morphological features by the MATLAB program. Of the 48 patients, 16 had functional abdominal pain (33.3%), 18 had recurrent acute pancreatitis (37.5%), and 14 had chronic pancreatitis (29.2%). In the univariate analysis, nine radiological features, eight GLCM features and one NGTDM feature were significantly different between groups. Nine radiological characteristics had important reference values with AUC values ranging from 0.73-0.91. Nine radiographic features of CT imaging demonstrate good evaluation efficiency in the diagnosis of pancreatitis and can distinguish patients with functional abdominal pain, recurrent acute pancreatitis, and chronic pancreatitis.

Continuous auction mechanism model for safety electric energy market transaction

With the rapid development of microgrid in the electric power industry, the microgrid electric energy transaction has begun to be marketized, and the research on the microgrid electric energy trusted transaction has important theoretical research value and social value. The existing blockchain-based microgrid electric energy trusted transaction models mostly focus on energy management and scheduling control between microgrids when conducting electric energy transactions, and do not fully consider the bidding problems in the market-based transaction of microgrid electric energy, resulting in trading strategies are difficult to adapt to new market changes. In response to this problem, this paper proposes a reliable transaction approach for microgrid electric energy based on a continuous two-way auction mechanism. The proposed strategy accounts for the volatility of electricity prices in the microgrid trading market and employs the continuous two-way auction mechanism to evaluate the microgrid electricity trading tactics. In the microgrid electric energy transaction, the self-adaptive learning theory is applied to adjust the quotations of both parties, so that both parties can make reasonable quotations according to the market environment. By simulating experimental data, the findings indicate that the continuous two-way auction mechanism transaction strategy enables both parties to modify their quotations based on market transaction information, thereby displaying a high degree of flexibility in microgrid electricity’s market-oriented trading.

Saying ‘No’ to Power: From Diasporic Knowledge to Reclaiming Ethical Monotheism

ABSTRACT In European philosophies of history, the linear paradigm that has prevailed for centuries as a derivative of Christian salvation history (Heilsgeschichte), ultimately lost its monopoly with the arrival of the “post-age.” The result of this has been that ideas that have survived on the margins, even the cyclical interpretation of time attached to religious traditions, now seem capable of outliving the short-lived belief in continuous progress. According to the cyclical view of history, those who came last will leave first, with those who came first leaving as the last adherents of the driving force of Western rationalization. Thus, within a century, beginning with World War 2, a major turning point has been crossed: Socialism was the first to disappear, and it looks like Secular Liberalism will be the next; then Protestantism, followed by Islam, and so forth. As seductive as these images may appear, they only mirror an auto-destructive thread at the very center of Europe’s troubled Geist. But can anything be done to save the most important European values, and specifically, the ethical drive to say “no” to power, which is perhaps the most important legacy of monotheism? Either as a self-limitation from within powerful institutions or as a mode of resistance on the margins of powerful developments—there is a strong adherence to the good (often named God) that helps people and communities survive their diasporic state. I will present this kernel of ethical monotheism by two relatively unknown twentieth-century examples of “diasporic knowledge”: Rebecca West’s Black Lamb and Grey Falcon (1941), in which she recorded her observations of the devastating effects of empires on Yugoslavia, and two poems by Rosario Castellanos, who decades before the debate on postcolonialism voiced the concerns of displaced indigenous cultures in her Mexican homeland. I suggest that, paradoxically, attention to diasporic voices is one way of realizing the spirit of European self-limitation that is so much needed today to prevent further damage to our societies and environment wrought by the excessive drive for progress fostered by an unethical monorationalism.

Application of building BIM technology based on sensor systems and 5G cloud computing

At present, the technology of artificial intelligence has been developing, making people's life more convenient and production more efficient. As the artificial intelligence software Siri is accepted and used by more and more people, some voice assistant software with similar functions gradually appear in people's vision, such as Sogou voice assistant, Xiaoai, Xiaodu and so on. ASR is the entrance of Siri and other software systems. The quality of software is directly affected by ASR. If there is no good ASR, it is impossible to have high-quality voice assistant applications. Therefore, we must correctly understand the important value of ASR and deeply study this technology in order to achieve better human-computer interaction. In recent years, the development of communication network technology is changing rapidly, from 2G to 5G, technology has been in progress. Compared with the previous 4G, 5G has a higher technical level, whether in network equipment or in data computing technology. For 5 g network, cloud computing technology is very important and has a great impact on it, so we need to focus on the research to realize the optimization and innovation development of 5G network. The construction sector constitutes a crucial segment of China's economy, exerting a significant influence on its overall growth trajectory. Given the prevailing developmental context, this document provides a concise overview of the BIM (Building Information Modeling) Technology, encompassing its fundamental concept, distinguishing attributes, and core principles. Furthermore, it delves into the manifold junctures where BIM Technology finds application across the entire construction life cycle. By employing an actual project as an illustrative instance, this study compiles a synopsis of BIM Technology's utilization at each phase, conducting a comprehensive evaluation of the project through the lens of the accrued experience and outcomes. This assessment lays the groundwork for an extensive exploration of potential expansion and application avenues, culminating in the eventual advancement of BIM Technology's achievements.

Ecotoxicity of perfluorooctanoic acid and perfluorooctane sulfonate on aquatic plant Vallisneria natans.

Perfluorinated compounds (PFCs) are persistent organic contaminants that are highly toxic to the environment and bioaccumulate, but their ecotoxic effects on aquatic plants remain unclear. In this study, the submerged plant Vallisneria natans was treated with short-term (7 days) and long-term (21 days) exposures to perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) at concentrations of 0, 0.01, 0.1, 1.0, 5.0, and 10 mg/L, respectively. The results showed that both high concentrations of PFOA and PFOS inhibited the growth of V. natans and triggered the increase in photosynthetic pigment content in leaves. The oxidative damage occurred mainly in leaves, but both leaves and roots gradually built up tolerance during the stress process without serious membrane damage. Both leaves and roots replied to short-term stress by activating superoxide dismutase (SOD), catalase (CAT) and polyphenol oxidase (PPO), while peroxidase (POD) was involved under high concentration stress with increasing exposure time. Leaves showed a dose-effect relationship in integrated biomarker response (IBR) values under short-term exposure, and the sensitivity of roots and leaves to PFOS was higher than that of PFOA. Our findings help to increase knowledge of the toxic effects of PFCs and have important reference value for risk assessment and environmental remediation of PFCs in the aquatic ecosystem.

The Importance and Scientific Value of Long Weather and Climate Records; Examples of Historical Marine Data Efforts across the Globe

The rescue, digitization, quality control, preservation, and utilization of long and high quality meteorological and climate records, particularly related to historical marine data, are crucial for advancing our understanding of the Earth’s climate system. In combination with land and air measurements, historical marine records serve as foundational pillars in linking present and past weather and climate information, offering essential insights into natural climate variability, extreme events in marine areas, baseline data for assessing current changes, and inputs for enhancing predictive climate models and reanalyses. This paper provides an overview of rescue activities covering marine weather data over the past centuries and presents and highlights several ongoing projects across the world and how the data are used in an integrative and international framework. Current and future continuous efforts in data rescue, digitization, quality control, and the development of temporally high-resolution meteorological and climatological observations from oceans, will greatly help to further complete our understanding and knowledge of the Earth’s climate system, including extremes, as well as improve the quality of reanalysis.

Characterization of the complete mitochondrial genome of Paecilomyces variotii and comparative evolutionary mitochondriomics of 36 fungi.

Paecilomyces variotii has important economic value in stimulating crop growth, biodegradation, and other aspects. Up to now, there are no research reports on its mitochondrial genome. The mitochondrial genome of Paecilomyces variotii was determined with the next-generation sequencing method (Illumina, NovaSeq), and its characteristics were analyzed using various bioinformatics approaches. The length of complete mitochondrial genome sequence of P. variotii is 40,965bp and consists of 14 protein-coding genes, 2 ribosomal RNA genes, 1 ribosomal protein S3 gene, 26 transport RNA genes. The results of phylogenetics analysis using Bayesian inference and Maximum likelihood methods showed that P. variotii belongs to the Eurotiales order in the Thermoascaceae family, and 9 genera within the Eurotiomycetes class were effectively distinguished with high support rates (bootstrap value > 92% and posterior probabilities > 99%). The analysis of synonymous substitution rates and nonsynonymous substitution rates indicated that the Ka/Ks values of the 14 PCGs in the mitochondrial genomes of the two orders in the Eurotiomycetes class ranged from 0 to 0.4333. This study revealed the structural and sequence information characteristics of the mitochondrial genome of P. variotii, and the phylogenetic results strongly support its classification within the family Thermoascaceae, consistent with traditional morphological taxonomy studies. The 14 PCGs in the mitochondrial genomes of the two orders in the Eurotiomycetes class are subject to strong purifying (negative) selection. The results of this research provides an important molecular basis for the development of genomics, evolutionary genetics and molecular markers of P. variotii in the future.

ОСОБЛИВОСТІ ПОЄДНАННЯ МОЖЛИВОСТЕЙ СОЦІАЛЬНОЇ І ЦИВІЛЬНОЇ ІНЖЕНЕРІЇ В МІСТОБУДУВАННІ

A term "engineering" has his root in the Latin word "ingenium", that means an "intellect" or "talent". It originates from a word "ingeniare", that is translated how to "found" or "invent". Exactly in this Latin expression there is an initial idea about work and ability to decide difficult tasks. There is the nearest to the man, her comfort residence and work. An engineering concept, as disciplines, is constrained with the use of scientific knowledge and technologies for planning, town-planning, architecture, creation and support of the different engineering systems and constructions. In the modern value, engineering embraces the wide spectrum of industries, such as mechanical, electric, computer, chemical, civil, aerospace et al, and has an important value for development of technologies and infrastructures of settlements, that are necessary for modern society. Self-society needs development of different types of engineering, that influence on his normal functioning and steady development. In this context the "civil engineering" is the nearest to the man, her comfort residence and work. A management social process is totality of actions and strategies, sent to influence and organization of the social phenomena, processes and co-operations in society. It includes a management behavior, by activity, relations and other aspects of human life, that take place in public terms. Thus a management social processes ("social engineering") is based on research, analysis and understanding of sociological, psychological, economic, political and cultural aspects of society. Him a primary purpose consists in the achievement of certain social goals and decision of problems, including technical, that stand before society. The basic aspects of management social processes it an analysis and prognostication: careful research and analysis of social processes help to understand their reasons, consequences and tendencies.

Chinese expert consensus on cerebral monitoring in patients with extracorporeal membrane oxygenation

With the significant increase in the use of extracorporeal membrane oxygenation in patients with severe respiratory failure, cardiogenic shock, and cardiopulmonary resuscitation, complications related to extracorporeal membrane oxygenation are increasingly being taken seriously. Cerebral injury is one of the most serious complications during extracorporeal membrane oxygenation treatment, and is an important factor affecting the hospital mortality rate and long-term quality of life. Due to the use of analgesics, sedatives, and muscle relaxants interfering with neurological physical examination results, cerebral injury that occurs during extracorporeal membrane oxygenation therapy is not easily detected in a timely manner. Therefore, bedside cerebral monitoring has important value in quickly detecting cerebral injury in patients with extracorporeal membrane oxygenation and providing early intervention guidance. Therefore, Extracorporeal Life Support Professional Committee of Chinese Medical Doctor Association organized relevant experts across the country to develop the"Chinese expert consensus on cerebral monitoring in patients with extracorporeal membrane oxygenation", this expert consensus is based on the pathological and physiological mechanisms of cerebral injury in patients with extracorporeal membrane oxygenation. It is based on the current application status of cerebral monitoring technologies such as neurological physical examination, plasma brain injury biomarkers, brain imaging, intracranial pressure, cerebral blood flow, brain oxygen, electroencephalogram, and somatosensory evoked potential. Combining the special clinical application scenarios of extracorporeal membrane oxygenation and integrating the latest evidence-based medical evidence, we have formed 15 consensus recommendations which can be referenced by professionals in critical care medicine, neurology, cardiovascular disease, respiratory and critical care, emergency medicine, and other fields. Given the particularity, complexity, and individual differences of critically ill patients, the recommendations formed by this expert consensus need to implement personalized strategies.

The clinical efficacy of preoperative flash visual evoked potential (VEP) for mature cataracts without a response to pattern VEP.

This study aims to assess the effectiveness of the preoperative flash visual evoked potential (VEP) test in predicting postoperative visual acuity for monocular mature cataract cases when compared to the contralateral normal eye. The study included 60 patients, each with a monocular mature cataract diagnosis, who underwent preoperative flash VEP testing showing no pattern VEP response. Subsequently, phacoemulsification was performed. The relationship between the flash VEP test latency values (P1, N2, P2) and amplitude value (N2-P2), and the degree of visual acuity recovery 3 months post-cataract surgery, was evaluated using the LogMAR scale. Furthermore, a linear regression analysis was conducted to explore the connection between preoperative flash VEP components and postoperative visual acuity. The average age of the patients was 65.4 ± 13.6 years, with a range of 43 to 87 years. The study included 36 males and 24 females. A significant disparity in visual acuity was observed between the preoperative and 3-month postoperative stages (p < 0.001). The preoperative flash VEP test for mature cataracts revealed significant delays in P1, N2, and P2 latency, as well as a reduction in N2-P2 amplitude potential when compared to the contralateral normal eye (p < 0.001). Notably, delayed P2 latency and reduced N2-P2 amplitude potential were particularly indicative of poor visual acuity prognosis after cataract surgery in the multiple regression analysis (p < 0.05). The N2-P2 amplitude potential was the important value that exhibited statistically significant results, with an area under the curve (AUC) of 80% sensitivity and 88% specificity, using a cutoff value of 6.07 μV. In cases of monocular mature cataract, a reduction in N2-P2 amplitude potential compared to the contralateral normal eye emerged as the most reliable predictor of postoperative visual prognosis following cataract surgery.

Enhanced cross-entropy framework for multiple-attribute decision-making with type-2 neutrosophic number and applications to cross-border e-commerce logistics service providers evaluation

In recent years, the lack of coordination in cross-border logistics has been one of the challenges and challenges faced by cross-border e-commerce. As the primary link in cross-border logistics, the selection of logistics service providers is an important foundation for promoting the development of cross-border e-commerce, and also a key link in improving the competitiveness of cross-border e-commerce enterprises. How to choose suitable and effective cross-border e-commerce logistics service providers has important theoretical significance and practical application value. The cross-border e-commerce logistics service providers evaluation is a multiple-attributed decision-making (MADM) problem. In this paper, the Type-2 neutrosophic number cross-entropy (T2NN-CE) technique is designed with help of cross-entropy and Type-2 neutrosophic number (T2NN). Furthermore, Then, T2NN-CE technique is built to solve the MADM. Finally, a numerical example for cross-border e-commerce logistics service providers evaluation is given and some comparisons are conducted to illustrate advantages of the designed T2NN-CE technique. The research contribution of the paper is outlined: (1) The T2NN-CE is managed under T2NNs; (2) the T2NN-CE method is implemented for MADM under T2NNs; (3) the T2NN-CE technique for cross-border e-commerce logistics service providers evaluation is constructed and were compared with some existing techniques; (4) Through the comparison, it is known that T2NN-CE technique for cross-border e-commerce logistics service providers evaluation is effective.

The milling parameters of mechanical parts are optimized by NC machining technology

In the field of mechanical manufacturing, CNC machining technology plays an important role in improving the precision and efficiency of part processing. However, how to further improve the effect of NC machining by optimizing milling parameters is still a key problem. The aim of this study is to optimize CNC milling parameters through systematic research and experiments to improve the machining efficiency and quality of mechanical parts. By adjusting key parameters such as tool speed, feed speed, and removal rate cutting depth, the influence of these parameters on the milling process was systematically studied using advanced CNC machining equipment. Through the collection and analysis of experimental data, the mathematical model is established, and the optimization algorithm is applied to find the best combination of milling parameters. The experimental results show that under the optimal combination of parameters, the surface quality of parts can be significantly improved, the machining time can be reduced, and the tool wear can be reduced. This research successfully realizes the optimization of milling parameters of mechanical parts by CNC machining technology and provides an effective solution for improving machining efficiency and reducing costs. This not only has guiding significance for the application of CNC machining technology but also has important promotion value in actual production.