Difficult Point Research Articles

Коммуникативные аспекты педагогического взаимодействия научных руководителей с аспирантами и адъюнктами

Introduction. Communicative strategies of pedagogical interaction of scientific supervisors with graduate students and adjuncts are important for the successful training of scientific and scientific-pedagogical personnel. The identification of the most difficult points of scientific leadership will contribute to improving the quality of training for applicants for scientific degrees. The purpose of the study is to identify the opinions of scientific supervisors on the organization of pedagogical interaction in the conditions of postgraduate and adjunct studies. Methods and materials. A study was conducted to identify the opinion of scientific supervisors on the organization of pedagogical interaction with students. In the survey took part 52 doctors and candidates of (military, technical, pedagogical, medical, economic, legal, chemical, biological, etc.) sciences of four universities in Ryazan, who train highly qualified personnel in postgraduate and adjunct programs. The results of the study. The novelty of the conducted research lies in the identification and analysis of the opinions and assessments of scientific supervisors characterizing the communicative strategies of pedagogical interaction. The theoretical significance lies in enriching the methodology and technology of vocational education in terms of improving the work of scientific supervisors in graduate and adjunct studies. The practical significance lies in the possibility of using the research results to improve the quality of training of scientific supervisors at a modern university. The prospects for further research lie in the scientific justification of ways to improve the effectiveness of scientific leadership in civil and military universities.

Study on the Translation of Culture-loaded Words from the Perspective of Domestication and Foreignization Theory: A Case Study of Kong Yiji

Culture-loaded words are also called culture-specific words. The translation of them is the difficult point of novel translation. Lu Xun's novel Kong Yiji contains a large number of culture-loaded words. Therefore, translators must adopt different translation strategies from the perspectives of content and context. Based on Lawrence Venuti's theory of "Domestication and Foreignization", this paper analyzes the culture-loaded words in Kong Yiji in order to resolve the obstacles in cross-cultural communication.

A Short Review of Layered Double Oxide-Based Catalysts for NH3-SCR: Synthesis and NOx Removal

Nitrogen oxides are one of the main atmospheric pollutants and pose a threat to the ecological environment and human health. Selective catalytic reduction (NH3-SCR) is an effective way of removing nitrogen oxides, with the catalyst being the key to this technology. Two-dimensional nanostructured layered double oxide (LDO) has attracted increasing attention due to the controllability of cations in the layers and the exchangeability of anions between layers. As a derivative of layered double hydroxide (LDH), LDO not only inherits the controllability and diversity inherent in the LDH structure but also exhibits excellent performance in the catalytic field. This article contains three main sections. It begins with a brief discussion of the development of LDO catalysts and analyzes the advantages of the LDO structure. The later section introduces the synthesis methods of LDH, clarifies the conversion relationship between LDH and LDO, and summarizes the modification impacts of the properties of LDO catalysts. The application of LDO catalysts used in NH3-SCR under wild temperature conditions is discussed, and the different types, reaction processes, and mechanisms of LDO catalysts are described in the third section. Finally, future research directions and outlooks are also offered to assist the development of LDO catalysts and overcome the difficult points related to NH3-SCR.

An Improved YOLOv8n Algorithm for Steel Surface Defect Detection

Due to the manufacturing process and other aspects, steel surface defects vary in shape and size, which is a difficult point for defect detection. For this reason, this paper proposes a steel surface defect detection algorithm based on YOLOv8n. The algorithm improves the C2f module of Backbone in this network by adding Context Guided Block (CG block), which can effectively extract the local features, surrounding context and global context, and integrate this information to improve the precision and accuracy of detection. Meanwhile, we also change the detection header of YOLOv8 to Detect_ASFF by introducing the Adaptive Spatial Feature Fusion (ASFF) technique. This improvement effectively filters out the conflicting information, which can allow the model to have a better adaptability at different scales. In this paper, Shape-IoU is adopted as the bounding box loss function to make up for the traditional IoU loss that ignores the intrinsic properties of the bounding box in the calculation process. After optimisation, mAP@0.5 are improved to 67.9% and mAP@0.5~0.95 are improved to 35.1%, which is 2.8% and 1.1% respectively. The improved algorithm in this paper has improved in detection accuracy, which proves the practicality and effectiveness of the algorithm in this paper.

Update on Behçet syndrome

Behçet syndrome (BS) is avasculitis of variable vessels with multiple organ manifestations. This article gives an overview of innovations in the last 2 years. A literature search was carried out using the keyword "Behcet" in 2022-2024 in PubMed. The selection of suitable articles was based on the relevance. With respect to the pathophysiology it is now clear that BS occupies an intermediate position between autoinflammatory and autoimmune clinical pictures. It is now classified as MHC-I-opathy, i.e., adisease that has astrong association with HLA classI antigens, which also play aprominent role in the pathogenesis. The diagnostic international criteria for Behcet's disease (ICBD) from 2014 with ascore of 4 points or more that makes the diagnosis of BS probable have become established; however, in countries with alow prevalence of BS, the differential diagnosis of BS from other diseases is difficult and ahigher point limit in the diagnostic score seems to make sense in order to avoid incorrect diagnoses. Clusters or phenotypes of the disease have now been described in various countries in which different symptom complexes frequently occur together; however, the clusters differ between the different countries of origin and depending on the age of the patients. Sonography of the common femoral vein with specific wall thickening in BS patients has been established as an additional tool for the differential diagnosis. Typical characteristics of oral aphthae in BS were also described and the frequency of positivity in the pathergy test could be significantly increased using pneumococcal antigens as the reagent. The treatment recommendations of the EULAR from 2018 still apply; in treatment-refractory cases, tocilizumab, secukinumab, Janus kinase inhibitors (JAKi) and ustekinumab have now also been successfully used. The new EULAR treatment recommendations are expected in 2025.

The Specific Application of Poetry and Prose in Primary School Chinese Language Teaching

In primary school Chinese language teaching, ancient poetry accounts for a large proportion and is a key focus of Chinese language teaching. However, for elementary school students whose understanding ability is not yet fully mature, the implicit emotions and obscure content in ancient poetry are often difficult to understand, so teaching ancient poetry is also a difficult point in Chinese language teaching. The teaching of ancient poetry bears the responsibility of inheriting and promoting China s excellent traditional culture to a certain extent, so the teaching of ancient poetry should attract the attention and importance of teachers. Based on this, this study discusses the application value of poetry in primary school Chinese language teaching, analyzes the current problems in teaching, and proposes specific methods such as creating scenarios and enriching related activities, in order to provide reference and assistance for the application of poetry in primary school Chinese language teaching.

The Toilet Revolution Empowers Rural Revitalization based on a Health Perspective

Since the reform and opening up, with the rapid development of the Chinese economy, public health problems have become increasingly serious. At the same time, due to the reality of imbalanced urban-rural development in China, improving the living environment in rural areas is the key and difficult point to achieve rural revitalization. Therefore, in 2015, the Chinese government officially began the "Toilet Revolution", a national public health movement aimed at improving urban and rural public health problems, enhancing people's quality of life, promoting rural economic development, and further promoting the implementation of the rural revitalization strategy. Based on a health perspective, this article analyzes the impact of the "toilet revolution" on rural health human capital by reviewing existing data and literature such as the "China Statistical Yearbook" on the level of health service expenditure and the number of sanitary toilet constructions. It further elucidates the mechanism by which the "toilet revolution" empowers rural revitalization, providing a theoretical basis for the government to deepen the "toilet revolution", narrow the urban-rural gap, and promote rural revitalization.

Study on the detection of power line operation anomalies in the Hexi Corridor based on multi-scale filtering of BeiDou satellite signals

In the artificial intelligence detection of power line anomalies, the identification effect is determined by the positioning process of two-dimensional map, which is also a difficult point in this field Therefore, this paper proposes a method to detect the abnormal operation of power lines in Hexi Corridor based on multi-scale filtering of Beidou satellite signals. Multi-scale processing is carried out by wavelet transform to obtain multiple wavelet basis functions of different scales. On this basis, a two-dimensional time–frequency diagram is drawn according to the results of continuous wavelet transform. The adaptive multi-time frequency entropy method is selected to divide the two-dimensional time–frequency map into multiple layers and scales, and the adaptive multi-scale time–frequency entropy of the time–frequency plane is calculated. After smoothing the obtained power line position signal by S-G filtering method, the power line position signal of Hexi Corridor is obtained by GPS/ Beidou dual-mode satellite positioning system, and the positioning signal is optimized by using the positioning mechanism of multiple receiving stations. Realize the abnormal operation detection of power lines in Hexi Corridor. The experimental results show that this method can obtain more accurate positioning signals, and the geometric accuracy factor GDOP fluctuates in the range of 0 ∼ 2. The unsmooth signal can be effectively removed; The maximum error result of abnormal position detection is 1.22kn；; At the same time, the abnormal displacement section of the line can be determined.

What it Takes to be a Good International Chinese Teacher

After the recovery of international Chinese education in 2023, the demand for international Chinese teachers overseas has returned, which also means that the demand for truly excellent international Chinese teachers has also begun to rise. As a student who is about to become an international Chinese teacher, how to become an excellent international Chinese teacher and complete the teaching mission of an international Chinese teacher is the main issue worthy of deep consideration. Thinking about this issue can be carried out throughout the student's learning life and into future teaching activities. "The unity of knowledge and action" is the most common point in Chinese philosophical wisdom, and it is also the most difficult point to achieve in practical activities. As an excellent international Chinese teacher, we must achieve the "unity of knowledge and action", clarify the teaching mission in the teaching process, take positive and correct concepts as the guide, and truly achieve the responsibility and mission of "language teaching and cultural dissemination" that a Chinese language teacher should do, so as to promote the development of Chinese to the world and expand more possibilities for exchanges between China and the world.

A low-power consumption security data fusion model for Industrial Internet of Things

Industrial Internet of Things (IIOT) is an important part of manufacturing industry in the future, and the front-end sensor data acquisition network is the core component of it. Due to the limited energy of IIOT, reducing transmission interaction, energy consumption, and computational complexity in the process of data transmission is the key and difficult point in designing model of IIOT. In this paper, a lightweight green security data fusion model for IIOT is proposed, called LCSDF model, which aims to achieve data security and integrity verifiability by using less energy consumption. The simulation results show that the proposed model can ensure data security and verifiability, and meet the energy consumption requirements of the system. The performance of the algorithm is also satisfactory, reflecting the lightweight, green, and security of the model.

Microbial co-cultivation: Reaction dynamics of combustible gases bioremediation in goaf

The accumulation of combustible gases in goaf is a key and difficult point in mine disaster prevention and control, which can easily lead to coal mine accidents and seriously safety production. Methanotrophs (S2, T7) and carboxydotrophic bacteria (M13) were extracted from mine environment to cocultivation. The cultivation conditions such as inoculation, temperature, and pH were selected to explore the effects of the growth and metabolic characteristics, and reveal the reaction kinetics of mixed strains (S2/M13, T7/M13). The results showed that the optimal inoculation amount for mixed strains was 5 %, and the maximum range of mixed carbon source inoculation for S2/M13 and T7/M13 were 9.69 % CH4+(7.27–9.69 % CO) and 9.69 % CH4+(4.35–7.27 % CO), the optimal cultivation temperatures were 25, 30 ℃, respectively, and the optimal pH was 7. In addition, the CH4 metabolic rates of S2/M13 and T7/M13 were 72.4 % and 85.4 %, respectively, and the CO metabolic rate reached over 95 % under the above optimal conditions, the processes of growth and metabolism of the mix cultures remained consistent. Moreover, the growth curves of the S2/M13 and T7/M13 conformed to the Logistic model, and whose attenuation coefficients (b) were 0.035, −0.215 d−1, the maximum specific growth rates (umax) were 0.524, 0.862 d−1, respectively. At the same time, the reaction rate of combustible gases showed high consistency in the logarithmic and stationary phases of the mixed strains, and exhibited a good linear relationship with the consumption rate of O2, the inhibitory kinetics of mixed strains on the reaction rate of combustible gases under different cultivation conditions were determined. The research results have vital theoretical and practical significance for the prevention and control of combustible gases and the safe mining in coal mines.

Encoder signal-based optimized Savitzky-Golay and adaptive spectrum editing for feature extraction of rolling element bearing under low-speed and variable-speed conditions

Feature extraction of rolling element bearings (REB) under variable-speed conditions is always one of the hot and difficult points in the field of fault diagnosis. Based on the encoder signal with the advantages of low noise, and direct correlation with machine dynamics, an optimized Savitzky-Golay and adaptive spectrum editing are proposed for REB feature extraction under low-speed and variable-speed conditions. Firstly, the estimated features of the instantaneous angular speed (IAS) and interference components are studied. Secondly, based on the proposed multipoint mean ratio indicator and parametric decomposition structure, an adaptive SG filter is proposed to remove the speed trend component. Thirdly, an adaptive spectrum editing scheme with no transition band and low computational cost advantages is proposed to detect REB fault based on the combination of the cyclic dislocation scheme, the Gaussian function and the Pearson theory. Simulation and experiments are used to verify the effectiveness of the proposed scheme.

Primary School English Teaching Strategy with Information Technology as the Carrier

With the rapid development of information technology, its application in the field of education is increasingly extensive, which has brought new opportunities and challenges for primary school English teaching. This paper aims to explore the primary school English teaching strategy with information technology as the carrier, aiming to improve the quality and efficiency of English teaching in primary schools by making rational use of information technology. This paper first analyzes the characteristics of pupils' thinking and learning, and the advantages of information technology in primary school English teaching, including resource richness, strong interaction, and convenient situation reproduction. These advantages provide a more vivid and intuitive teaching environment for English teaching, and help to stimulate students' interest and enthusiasm in learning. Then, the paper elaborated the primary school English teaching strategy with information technology as the carrier, namely, interest stimulation, new lesson introduction; micro course teaching, focus on the difficult points, create the situation, create atmosphere, enrich resources, expand horizons, store resources, accumulate precipitation. In short, information technology can not only enrich the teaching content, improve the teaching effect, but also stimulate students 'interest in learning and cultivate students' information support. Therefore, combining information technology with primary school English teaching is an effective way to improve the quality of English teaching in primary school.

Research status and reflection of the mechanism of TCM manipulation in the treatment of cervical spondylosis under the background of multi-disciplinary intersection

The study of TCM manipulation's mechanism is the key scientific issue in the current manipulation research. It is the key and difficult point on the road of modernization and internationalization of Chinese orthopedics and traumatology. Meanwhile, it is also an important way to clarify systematically the scientific connotation of TCM manipulation. At present, our country is in an important period when multi-disciplinary intersection lead knowledge production, scientific innovation, and discipline development. The trend of cross-innovation between Chinese orthopedics and traumatology and other disciplines provides the carrier and method for the study of TCM manipulation's mechanism. Cervical spondylosis is the traditional dominant disease of Chinese orthopedics and traumatology. In recent years, many scholars have applied multi-disciplinary techniques and theories to explore the mechanism of TCM manipulation by focusing on the four dimensions of muscle, bone, blood vessel and nerve. The article takes the treatment of cervical spondylosis by TCM manipulation as the research entry point, and integrates the application status and implementation strategies of various techniques and theories under the background of multi-disciplinary intersection, which is conducive to the better combination, innovation and transformation of Chinese orthopedics and traumatology with other disciplines, and provides ideas and references for systematically clarifying the scientific connotation of TCM manipulation.

Differentiation of granulomatous nodules with lobulation and spiculation signs from solid lung adenocarcinomas using a CT deep learning model

BackgroundThe diagnosis of solitary pulmonary nodules has always been a difficult and important point in clinical research, especially granulomatous nodules (GNs) with lobulation and spiculation signs, which are easily misdiagnosed as malignant tumors. Therefore, in this study, we utilised a CT deep learning (DL) model to distinguish GNs with lobulation and spiculation signs from solid lung adenocarcinomas (LADCs), to improve the diagnostic accuracy of preoperative diagnosis.Methods420 patients with pathologically confirmed GNs and LADCs from three medical institutions were retrospectively enrolled. The regions of interest in non-enhanced CT (NECT) and venous contrast-enhanced CT (VECT) were identified and labeled, and self-supervised labels were constructed. Cases from institution 1 were randomly divided into a training set (TS) and an internal validation set (IVS), and cases from institutions 2 and 3 were treated as an external validation set (EVS). Training and validation were performed using self-supervised transfer learning, and the results were compared with the radiologists’ diagnoses.ResultsThe DL model achieved good performance in distinguishing GNs and LADCs, with area under curve (AUC) values of 0.917, 0.876, and 0.896 in the IVS and 0.889, 0.879, and 0.881 in the EVS for NECT, VECT, and non-enhanced with venous contrast-enhanced CT (NEVECT) images, respectively. The AUCs of radiologists 1, 2, 3, and 4 were, respectively, 0.739, 0.783, 0.883, and 0.901 in the (IVS) and 0.760, 0.760, 0.841, and 0.844 in the EVS.ConclusionsA CT DL model showed great value for preoperative differentiation of GNs with lobulation and spiculation signs from solid LADCs, and its predictive performance was higher than that of radiologists.

FINANCIAL INCLUSION: DOES IT PLAY AN IMPORTANT ROLE IN A COUNTRY? REVIEW OF THE LITERATURE

Financial Inclusion (FI) is a key pillar of financial development and inclusive growth in a country. It plays an immense role and is showing an evolving nature around the world. Most research now investigates this concept mainly due to its supportive nature for a country’s development perspectives. Many countries make investments and pay considerable attention to initiating FI agendas and national FI strategies to improve the level of FI in their countries. Economic empowerment through formal financial sector activities, poverty reduction, lowering income inequality, enhancing savings and investments, and improving productivity are some of the contributory factors of FI. Reviewing nearly 50 past literature, this article attempts to develop new literature regarding the importance of FI for a country. Furthermore, the study examines FI definitions and barriers to FI. The findings of the literature reveal that FI directly supports the achievement of a country's growth objectives. The main contributory factors of FI are employment creation, reducing income inequality and poverty, smoothing the financial sector while maintaining financial system stability, and working with technological developments towards financial activities. However, there are several important bottlenecks such as lack of income, difficult access points due to long distance, barriers to digital finance and payments, and lack of financial knowledge. Affordable financial sector products and services for everyone tend to improve the level of FI. The outcome of the research provides valuable insight for policymakers and responsible authorities to take proactive actions to reach the FI targets by eliminating barriers to FI. In this regard, higher participation of the population towards the formal financial sector in a country is an important element, and actions should be arranged for the gradual transformation of people to achieve this target. The findings of this study further provide avenues for future studies and policy-level decisions, highlighting the fact that FI is an important concept for creating a financially inclusive country.

Application of Particle Swarm Optimisation in Multi-Objective Cost Optimisation of Engineering Enterprises under the Background of Digital Economy

Engineering projects must meet quality and schedule requirements during construction. This is a typical multi-objective problem and a difficult point in the management of engineering enterprises. To address these issues, a research study proposes an intelligent multi-objective optimisation technique. First, analyse the optimisation objectives of the enterprise in the context of digitalisation. Then, construct a multi-objective cost optimisation model for engineering enterprises. Second, the Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm is introduced to solve multi- objective problems. To improve the multi-objective optimisation effect of the model, the inertia weight parameters and particle learning behaviour are optimised and adjusted, as the model is prone to getting stuck in local optima. In the performance test of the algorithm model, the optimised MOPSO model can accurately search for the minimum value of 0 at the position (0, 0) under the Rastrig in function, and at the same time, the number of iteration convergence is the least. The GA, ACOM, and traditional MOPSO models have more iterative convergence times, and the optimisation results are 0.10, 0.15, and 0.14, respectively. It can be seen that the performance of the optimised MOPSO model is better. In the specific example analysis, using the optimised MOPSO solution, the project cost was reduced from 31 million yuan in the contract to 30.52 million yuan, and the construction period was shortened from 588 days to 540 days, and met the environmental protection and quality requirements. The research content can provide important decision support for engineering project managers.

Numerical Simulation Study on the Effective Distance of Pressurized Ventilation in Gas Tunnel Construction

The ventilation of gas tunnel construction has always been a difficult point in the construction of gas tunnels, and the construction risk is high, and the ventilation cost is large. How to efficiently and quickly analyze the gas emission of different sections and take corresponding ventilation measures can improve the safety of gas tunnel construction and reduce the consumption of funds. Therefore, in this paper, the source term of gas emission is used to deal with it, and the actual pollution source is regarded as the source term in the air at a small distance from the wall of the tunnel face, and its emission is the actual emission of the tunnel gas source, and the source term S of these units is equal to the amount of gas generated per unit volume and unit time. Numerical simulation analysis can be carried out more vividly for the improvement of the construction safety of gas tunnels. In recent years, with the proposal of China's "double carbon" goal, the requirements for green construction have also been raised to a new height, and the ventilation standards for gas tunnel construction are getting higher and higher.

Accurate and precise in situ determination of beryllium contents in beryllium minerals using ablation spot size of 13 μm by LA–ICP–MS

Beryllium is a strategically critical metal, and its accurate in situ analysis in beryllium minerals is challenging in the field of earth science. High spatial resolution is also a difficult point in the analysis. A new analysis approach for the accurate and precise determination of beryllium contents in beryl using an ablation spot size of 13 μm by LA–ICP–MS was first achieved in this study. The control variables were used to optimise the instrument conditions and determine the laser ablation parameters suitable for determining beryl under an ablation spot size of 13 μm. The energy density was set at 5.5 J/cm2 with a repetition rate of 4 Hz, and the ablation time was 50 s. A new concept, the Relative Fractionation Index (RFI), was proposed to measure fractionation and matrix effects. Two potential beryl reference substances (B4–2 and Brl-3) were also assessed by determining their homogeneity to further improve the measurement accuracy. Other common beryllium minerals, including phenakite, chrysoberyl, and herderite, were identified in this study. By comparing the RFI values of different minerals and reference materials, appropriate reference materials and determination conditions were selected, and ideal analysis results were obtained. Therefore, the accurate and precise determination of beryllium contents in common beryllium minerals was achieved using an ablation spot size of 13 μm by LA–ICP–MS.

Effects of Maitland mobilization technique on upper extremity function in stroke survivors with spasticity: An experimental study.

The recovery of upper limb function is of great significance for stroke patients to regain their self-care ability, yet it is still a difficult point in clinical practice of neurological rehabilitation. This study aimed to investigate the effect of Maitland joint mobilization technique on the recovery of upper extremity function in patients with spasticity after stroke. From August to December 2023, 71 patients with upper extremity flexor spasm after stroke were recruited and randomly divided into experimental group (n = 35) and control group (n = 36). The control group was given conventional rehabilitation treatment, while the experimental group was treated with Maitland mobilization technique treatment of upper extremity joints on the basis of the control group. The experiment lasted for 8 weeks. Participants of the 2 groups were observed for Fugl-Meyer motor assessment-upper extremity (FMA-UE), box and block test (BBT) and Brunnstrom stage, modified Ashworth scale (MAS), and functional independence measure (FIM) at pre- and post-8 weeks study. There was no significant difference in gender distribution, hemiplegic side, diagnosis, past history, age, duration, body mass index, and mini-mental state examination between the 2 groups (P > .05). After 8 weeks of intervention, both groups showed significant improvement in FMA-UE, Brunnstrom stage, BBT, FIM, and MAS of the shoulder (P < .05); however, there was no significant change in MAS of the elbow, wrist, and finger joints (P > .05). The posttreatment values showed a significant improvement in FMA-UE, BBT, and FIM in the experimental group compared to the control group. Comparing the changes in pretreatment and posttreatment, FMA-UE, BBT, and FIM in the experimental group were significantly improved compared with those in the control group (P < .05). Maitland joint mobilization can improve the motor function of upper extremity and the spasticity of shoulder joint complex in patients with stroke.