bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevention and Screening for Cardiometabolic Disease Following Hypertensive Disorders in Pregnancy in Low-Resource Settings: A Systematic Review and Delphi Study
Authors: Ishaku Salisu Mohammed , Adu-Bonsaffoh Kwame , Housseine Natasha , Lamptey Roberta , Franx Arie , Grobbee Diederick , Warren Charlotte E. , Browne Joyce L.
Published: April 2023

Hypertensive disorders in pregnancy (HDP) and cardiometabolic and kidney diseases are rising in low- and middle-income countries (LMICs). While HDP are risk factors for cardiometabolic and kidney diseases, cost-effective, scalable strategies for screening and prevention in women with a history of HDP are lacking. Existing guidelines and recommendations require adaptation to LMIC settings. This article aims to generate consensus-based recommendations for the prevention and screening of cardiometabolic and kidney diseases tailored for implementation in LMICs. We conducted a systematic review of guidelines and recommendations for prevention and screening strategies for cardiometabolic and chronic kidney diseases following HDP. We searched PubMed/Medline, Embase and Cochrane Library for relevant articles and guidelines published from 2010 to 2021 from both high-income countries (HICs) and LMICs. No other filters were applied. References of included articles were also assessed for eligibility. Findings were synthesized narratively. The summary of guiding recommendations was subjected to two rounds of Delphi consensus surveys with experts experienced in LMIC settings. Fifty-four articles and 9 guidelines were identified, of which 25 were included. Thirty-five clinical recommendations were synthesized from these and classified into six domains: identification of women with HDP (4 recommendations), timing of first counseling and provision of health education (2 recommendations), structure and care setting (12 recommendations), information and communication needs (5 recommendations), cardiometabolic biomarkers (8 recommendations) and biomarkers thresholds (4 recommendations). The Delphi panel reached consensus on 33 final recommendations. These recommendations for health workers in LMICs provide practical and scalable approaches for effective screening and prevention of cardiometabolic disease following HDP. Monitoring and evaluation of implementation of these recommendations provide opportunities for reducing the escalating burden of noncommunicable diseases in LMICs.
Pengaruh Model Learning Cycle 7E Berbantuan LKS Terhadap Peningkatan Hasil Belajar Siswa Pada Konsep Hukum Newton Tentang Gerak di SMA Negeri 1 Sambuara
Authors: Bambulu Lesti , Mandang Theresje , Lolowang Jimmy
Published: April 2023

This study aims to determine the learning outcomes of students who use the Leaning Cycle 7e model assisted by LKS and also see student learning outcomes using conventional models on the physics subjects of Newton's legal material about motion in SMA Negeri 1 Sambuara. This research is a semi experimental study (quasi experiment) with Randomized Pretest-Posttest Control Group Design. The results showed that students who learned using the Leaning Cycle 7e model assisted by LKS, the average value of learning outcomes was 83.5, while students who learned using the conventional learning model the average value was 77. From these results it can be concluded that the use of the Learning Cycle model 7E assisted LKS is more influential on student learning outcomes than using conventional learning.
Penerapan Model Pembelajaran Project Based Learning dengan Pendekatan Kontekstual
Authors: Luma Sani Listian , Makahinda Tineke , Umboh Sixtus Iwan
Published: April 2023

This research was carried out to determine the application of project-based learning models with contextual approaches to the material of the equilibrium of rigid objects to student learning outcomes. The method used in this study is an experiment with the design of one grub pretest-posttest design. The research sample amounted to 25 learners. The data analysis in this study used SPSS 25. From the results of the data analysis obtained an average pretest value of 30.55 and a posttest value of 91.29. The results of the hypothesis test using the Test-t paired sample test obtained a sig value. (2-tailed) is 0.000<0.05. So the data shows that there is an increase in student learning outcomes using a project-based learning model with a Contextual approach. Thus it can be concluded that the average score of the results of learning physics learners who are given treatment by using the application of project-based learning models with a contextual approach is higher than the average physics learning outcome when not given treatment.
Penggunaan Pengaruh Media Video Pembelajaran Terhadap Hasil Belajar Siswa SMA Kelas X
Authors: Manein Adelia Desterina , Marianus  , Silangen Patricia Mardiana
Published: April 2023

This study aims to determine the effect of using instructional video media on the learning outcomes of high school students in class X on energy materials. This research was conducted at SMA Negeri 1 Beo. The research design used a pretest posttest control group design, with the research sample being the experimental class and the control class. The experimental class was treated with learning using video while the control class did not use video. The instrument used in the study was a multiple-choice test. Based on descriptive statistical analysis, the average value of the control class was 6.48 and the average value of the experimental class was 7.86. Based on the results of the independent simple t-test, the value of -ttable > tcount then Ha is accepted and H0 is rejected. So it can be concluded that there is an effect of using instructional video media on student learning outcomes. The use of learning video media has a good influence on student learning outcomes.
Penerapan Model Pembelajaran Project Based Learning dengan Pendekatan STEM pada Materi Hukum-Hukum Termodinamika
Authors: Faisal  , Makahinda Tineke , Silangen Patricia
Published: April 2023

This research was conducted to determine the application of a project-based learning model with a STEM approach to the material of thermodynamic laws to student learning outcomes. The method used in this study was pre-experiment with a one group pretest-posttest design. The study sample was 28 learners. Data analysis in this study used the SPSS 25 application. From the results of data analysis, the average pretest value was obtained 49.82 and posttest 80.54. From hypothesis testing using the t-test paired sample test obtained sig values. (2-tailed) is by 0.000 0.05. then the data shows that there is an increase in student learning outcomes using a project-based learning model with a STEM approach. thus, it can be concluded that the average score of physics learning outcomes of students given treatment using the application of a project-based learning model with a STEM approach is higher than the average score of physics learning outcomes before being given treatment.
Studi Literatur : Penerapan Model Pembelajaran Prediction, Observation, and Explanation (POE) pada Pembelajaran Fisika
Authors: Puji Purdhiyah  , Wulandari Sri , Wulandari Mardaya , Annovasho Jhelang
Published: April 2023

This study aims to examine the application of the POE (Prediction, Observation, and Explanation) in learning physics in the last 5 years in terms of advantages and constraints in learning physics in junior high and high school. The process of writing this paper uses a qualitative approach as well as data collection methods for national journal literature studies on POE (Prediction, Observation, and Explanation) in physics learning combined with junior and senior high school physics material. This research activity obtained the results from the application of the POE learning model (Prediction, Observation, and Explanation) which states that it can improve student learning outcomes, improve students' conceptual understanding, improve process skills, improve learning activities and learning outcomes, and improve scientific/process work skills. and learning outcomes. Can be concluded that with the application of the POE learning model as an alternative to physics learning.
Pengaruh Penggunaan Model Pembelajaran Problem Based Learning (PBL) Terhadap Proses dan Hasil Belajar Siswa pada materi Gaya di SMA Negeri 2 Tondano Kelas X
Authors: Kalele Elshadai Christiani , Taunaumang Heindrich , Rende Jeane Cornelda
Published: April 2023

The use of varied learning models will make the transfer of knowledge more effective and efficient. Problem Based Learning (PBL) learning model is the right learning model. Students are required to solve the problems presented by digging as much information as possible. This study aims to determine the effect of the Problem Based Learning (PBL) learning model on the process and results in learning force material. The type of research used in this research is experimental research. This research was conducted at SMA Negeri 2 Tondano in the odd semester of the 2021/2022 academic year. The subjects in this study were students of class X SMA Negeri 2 Tondano, totaling 21 students. The instrument used for process data is a questionnaire and for student learning outcomes data is a test instrument in the form of description questions. The data analysis technique uses simple linear regression for the process and the results of the coefficient formula show that there is an influence of the Problem Based Learning (PBL) learning model on the student learning process at SMA Negeri 2 Tondano with a percentage results of 51%. Based on the significance value: the Coefficients table obtained a significance value of 0.000 <0.05, so it can be concluded that the variable X (Problem Based Learning model) has an effect on Y (Student Learning Process). .And data analysis techniques for result using the test N-GAIN obtained the average value of the pretest is 17.77 and the average value of the posttest is 74.33. The results of this study indicate that the Problem Based Learning (PBL) learning model has an effect on the process and results.
Measuring the Success of Digital Transformation in German SMEs
Authors: Pfister Paul , Lehmann Claudia
Published: April 2023

The pace of digital disruption in firms is omnipresent and has been accelerated by the emergence of COVID-19. Using digital technologies requires financial resources to create value. As these resources are limited in small and medium-sized enterprises (SMEs) and digital use cases and best practices are not well known, the purpose of this qualitative study is to investigate how SME managers are adding value and achieving a measurable return on investment (ROI) by using digital technologies. The study reviews a range of literature and models relating to digitisation impacts within SMEs. Further, it entails in-depth qualitative research on digital transformation in SMEs to explore the usage of digitisation and measurements of the added value and return. By inductively performing a multiple-case study of eight German SMEs, the researchers provide evidence to determine the usefulness of data analytics in SMEs. The study delivers a rich overview of added value, benefits and ways SMEs can use various ROI opportunities. Five benefits are revealed: increased revenue, improved customer satisfaction, improved employee satisfaction, efficiency and productivity. In addition, the case studies yield 25 significant positive ROIs in numerous use cases where data analytics solutions are implemented to improve revenue or cut costs. The weighted ROI average in this study is 13.44. Thus, most of the investments are highly worthwhile.
PROGNOSE DA ESTRUTURA DIAMÉTRICA EM UM FRAGMENTO DE FLORESTA ESTACIONAL SEMIDECIDUAL
Authors: Woycikievicz Antonio Pedro Fragoso , Koehler Henrique Soares , Behling Alexandre , Figueiredo Filho Afonso , Péllico Netto Sylvio
Published: April 2023

No manejo florestal a tomada de decisão envolve vários fatores, entre eles a aplicação de métodos de prognose. Não é uma tarefa simples aplicá-los em florestas inequiâneas, devido à grande diversidade de espécies e idades.  Diante disso, o objetivo deste trabalho foi avaliar a acuracidade de ferramentas como a Matriz de Transição (MT) e da Razão de Movimentação de Diâmetros (RMD) para a prognose da estrutura diamétrica em um fragmento da Floresta Estacional Semidecidual localizado em Cássia, Estado de Minas Gerais. Para isso, a prognose foi efetuada em um período de 4 anos de intervalo (1997 a 2001) para duas amplitudes (5 cm e 10 cm) de classes diamétricas, aplicando-se os métodos MT e RMD, no período entre 2005 e 2009. A eficiência das projeções foi avaliada por meio do teste de Kolmogorov-Smirnov e pelo teste de Friedman. Após a escolha do melhor método e amplitude, a projeção da estrutura da floresta foi efetuada para o ano 2022. A projeção efetuada com o método RMD apresentou maior eficiência para os anos de 2005 e 2009, porém, em 2009, somente para o número de indivíduos. A amplitude de 5 cm foi a que melhor descreveu a estrutura diamétrica dos conjuntos de dados avaliados, em ambos os anos, evidenciando ser a dinâmica da floresta mais lenta que a previamente avaliada. Novas pesquisas devem ser efetuadas para melhorar as projeções para além de um período, pois para apenas um período exigem estrito acompanhamento por muitos anos.
A luta por novos imaginários sociais: Drucilla Cornell, Frantz Fanon e a forma da subjetividade jurídica
Authors: Almeida Leonardo Monteiro Crespo de
Published: April 2023

O objetivo deste artigo é propor uma articulação entre as reflexões políticas de Frantz Fanon e de Drucilla Cornell no tocante à transformação social e à subjetividade jurídica. A pesquisa adota como ponta de partida a leitura que Cornell faz de Fanon, ressaltando a maneira pela qual a posição do autor promove a luta por novos imaginários sociais em meio à transformação radical proporcionada pela prática revolucionária. Com base nesses marcos teóricos, a pesquisa busca verificar se transformações importantes para a subjetividade jurídica podem ser atreladas ao processo de formulação de novas demandas políticas. A segunda seção do artigo aproxima os autores mediante um paralelo entre a crítica ao colonialismo e a crítica feminista, atentando para a maneira como as subjetividades colonial e feminina trazem consigo semelhanças no que concerne ao modo como são concebidas em meio a estruturas de poder determinadas. Por fim, o artigo aponta o potencial utópico, no que se refere à luta por novos imaginários sociais, subjacente às duas posições. A conclusão do artigo é a de que o processo de subjetivação decorrente das lutas coloniais descrito por Fanon complementa e fortalece o conceito de domínio imaginário proposto por Cornell. O artigo adota como metodologia uma revisão de literatura específica da obra desses autores.
When I speak up, who listens and what happens? A study of speaking up at work in the educational sector
Authors: Edmondson Michelle
Published: April 2023

Whistleblowing (a worker raising a concern with someone in authority about wrongdoing, risk, or malpractice that affects others,http://protect-advice.org.uk), is a complex topic. In the present study, identities and power construction by those who speak up is explored by analysing stories of speaking up from teachers, senior leaders, and administrators alongside whistleblowing policies from education institutions. These texts provide language to understand perspectives and were examined using Foucauldian discourse analysis. Three different discourses were found: reassured with support to encourage whistleblowing and its resolution; oppressed where speaking up was silenced; and confused discourse where many aspects of whistleblowing were unclear. A tension exists where resolutions are not satisfactorily actioned and issues are ignored, privileging the reassurance discourse.
Customer Concentration and Corporate Performance
Authors: Yang Yue
Published: April 2023

The reliance on large customers is common among Chinese listed companies, with nearly half of the companies trading with the top five customers exceeding 30%, and around 20% even exceeding 50%, thus, reasonable handling of customer relationships is an important part of a company's operation and strategy. This paper empirically investigates the effect of customer concentration on firm performance using a sample of Chinese A-share companies listed in the non-financial industry from 2007 to 2020. The results show that higher customer concentration tends to be accompanied by higher Tobin's Q, i.e., higher firm market value. In addition, research shows that although customer concentration is negatively correlated with firm ROA, high customer concentration binds the interests of customers and firms, and customers are more willing to provide firms with technical support and information such as industry insiders, which are invisible resources that bring higher market value to firms. This paper provides empirical evidence for enterprises about customer relationships in the strategic development of the firm, enriches the research on the impact of customer concentration on firm performance and expands the analytical perspective of firm performance from the market value of the firm, thus the findings of this study provides certain practical implications.
Tuhu Car Maintenance - The growth path of an automotive aftermarket leader
Authors: Hao Xiancheng
Published: April 2023

In 2011, when Tuhu Car Care was established, China began to have a professional "car care e-commerce platform". On 4 August 2020, the Hurun Research Institute released the Hurun Global Unicorn List 2020 and Tuhu was selected. So what is it that makes Tuhu survive in the fierce ten-year market competition? And what challenges will it face in the future?
Evaluation and Promotion Mechanism of Urban Energy Internet Development under Double Carbon Target
Authors: Pang Min , Qiu Shan , Jia Qing , Gao Yanfeng , Yang Jingxiang
Published: April 2023

Under the "double carbon" strategy, as the main source of carbon dioxide emissions, the energy industry is the main force in carbon reduction, and cities which are the main energy consumers are the main battleground. Thoroughly implementing the new development concept, building a clean, low-carbon, safe and reliable, intelligent and open energy network, and building a modern intelligent energy system are the key to realizing the low-carbon transformation of the national energy industry. This paper analyzes the requirements of energy Internet development and the shortcomings of energy Internet development based on the necessity of energy Internet development in China, constructs a development evaluation index system, and proposes the development mechanism and policy recommendations of urban energy Internet under the background of "double carbon".
Analysis on the Spatial Structure and Interaction of Aviation Network and Tourism Efficiency Network in Major Cities in China
Authors: Cai Hongyun , Gong Xiaomei , Han Jianlei
Published: April 2023

Tourism efficiency is crucial for measuring sustainable tourism development. Examining the relationship between aviation and tourism efficiency networks is key to promoting their synergistic development in China's urban areas. This study employs various methods, such as complex network analysis method, entropy-weighted TOPSIS, tourism efficiency gravity model, and quadratic assignment procedure, to analyze the networks' spatial structure evolution characteristics and interaction effects. Results show that (1) China's major cities' aviation network has improved its organizational efficiency and formed a "double rhombus-single axis" spatial evolution pattern of the axis-spoke network. The number of intermediary networks and hub cities in the central and western regions has increased. (2) The tourism efficiency network adopts a "honeycomb" structure pattern with the simultaneous layout of "point-to-point" and "star" networks. The network's tourism efficiency follows "Pareto's Law," and tourism cities above the second level form a club group development. The tourism efficiency development potential area is shifting to the southwest. (3) The aviation and tourism efficiency networks exhibit a clear trend of synergistic evolution with a "path locking" phenomenon between them. Differences in tourism resource endowment, labor advantage, and capital advantage positively impact the aviation network's structure. Conversely, differences in revenue capacity and market scale negatively impact the structure. The aviation scale advantage, openness, intimacy, and influence exhibit decreasing positive effects on the tourism efficiency network's structure.
Analysis of influencing factors of maternal mental health in Sichuan Province
Authors: Zhang Fangyan , Wang Yanpei , Yu Shuangjie , Su Fangxing , He Xiaoxu
Published: April 2023

In this paper, a total of 1942 data were obtained by using the Chinese Health Data Center - "Sichuan Maternal Mental Health Data Set". Through the significance test of SPSS software, the impact of academic qualifications, marital satisfaction and negative social events on maternal mental health was analyzed, and it was concluded that the higher the education, the greater the possibility of adverse mental health of pregnant women. In the cross-impact analysis of the three, educational qualifications had the greatest impact on maternal mental health. Based on the results of this study, it is recommended to provide continuous specialized guidance, psychological comfort, emotional support and physiological help for pregnant women with different educational levels, reduce and eliminate maternal anxiety and fear, enhance maternal self-confidence, and call for and recommend that families and society improve their care and attention to pregnant women: take care of maternal emotions and lives; Establish a mechanism for building and perfecting.
Social assistance in the Coronavirus pandemic: the current status of the system and the path to optimization
Authors: Zhang Lili
Published: April 2023

The social assistance system, as a basic social system arrangement related to the country’s livelihood, has taken constructive temporary measures in the process of epidemic prevention and control of the COVID-19, safeguarding people's lives, maintaining social stability, and producing a wide range of social effects. However, it is also necessary to see that the social assistance system faces the dilemma of increasing the number of people to be assisted, the unsoundness of the emergency operation system, the lack of service level and the poor sustainability of assistance funds under the normalization of epidemic prevention and control. Therefore, we analyze the problems to find the possible optimization path of social assistance, make up the shortcomings of the social assistance system, estimate the participation of social organizations, and improve the response capacity of the social assistance system in the face of major public health events, so as to better play the role of underwriting protection for people's livelihood.
Research on Tourism Destination Marketing Strategy Based on Economic Perspective
Authors: Gan Yating , Yang Wanyue , Jiao Ying
Published: April 2023

This paper takes Lu 'an as an example, in perspective of experience economy, analyzed the present situation of tourism destination marketing in Lu 'an. Optimize the marketing strategies of tourist destinations from the tourism destination brand construction, experience value, tourism product optimization, tourism sales channels and so on, enhance the competitiveness of Lu 'an as a tourist destination.
Spectrum Test System Based on XILINX FPGA
Authors: Su Jie
Published: April 2023

Gaussian channel is a radio frequency communication channel, which contains the characteristics of specific noise spectral density of various frequencies, resulting in arbitrary distribution of errors in the channel. Gaussian channel, often referred to as weighted Gaussian white noise (AWGN) channel. This noise assumes that the power spectral density (PSD) is constant over the entire channel bandwidth, and the amplitude conforms to the Gaussian probability distribution. The system takes the system generator as the development platform, combines matlab with the modern communication comprehensive experimental platform, and simulates and comprehensively realizes the designed spectrum test system. The analog signal input port is designed. The received analog signal is converted into digital signal through ADC module in the system, the time domain signal is converted into frequency domain signal through fast Fourier transform, and then converted into analog signal through DAC module, and output to the display instrument for display.
Design and Implementation of IIC Interface IP Core
Authors: Huang Jincheng
Published: April 2023

With the development of SOC (System on Chip) design technology, IPcore reuse technology and on-chip bus technology, which are the basis of SOC design technology, have attracted wide attention from the society. IP core reuse technology can save repetitive work and greatly speed up chip development. At present, China's large-scale SOC design uses more foreign IP cores, which are expensive. IIC(Inter-integrated Circuit) interface is an important peripheral interface in AMBA (Advanced Microcontroller Bus Architecture) bus. It is used for communication between CPU and peripheral devices, and can be used in embedded, radio frequency communication and other fields. Therefore, designing an IIC interface IP has great use value.
Study on Hardness Control of Ir-C-N System
Authors: Song Mingze , Miao Feng , Huang Yi , Xu Min , Deng Feiran , Xiao Chenda
Published: April 2023

In this paper, based on first-principles theoretical calculation and Vesta modeling, nitrogen atoms were doped in the Ir-C of Pnma phase and carbon atoms were doped in the Ir-N of Pnnm phase to obtain a new IR-C-N system.The structure optimization and static self-consistent cycle optimization of the doped structure were carried out. The elastic calculation of the optimized structure was carried out under the pressure of 0Gpa. Through the analysis of the calculation results, the compound has shown good brittleness under certain doping ratios.
Proportional Estimation Method of Urban Rail Passenger Flow Transfer Path Selection Based on IC Card Data
Authors: Zhao Xueke
Published: April 2023

Based on the analysis of the influencing factors of urban rail transit passenger flow transfer path selection behavior and the components of travel time, a method of estimating the proportion of urban rail transit passenger flow transfer path selection based on IC card data is proposed. Firstly, the research determines the shortest interchange path algorithm as Dijkstra algorithm and the graph-based depth-first search algorithm as the effective interchange path search algorithm; analyzes the factors influencing the passenger flow interchange path selection behavior as three types of travel time, interchange cost and road network familiarity; constructs the generalized cost function of effective interchange path selection by combining travel time and interchange cost; establishes the passenger flow probability selection model by combining road network familiarity. To eliminate the influence of absolute difference of utility on the probability of path selection in the polynomial logit model, the path probability selection model is improved with the help of minimum travel cost; Bayesian estimation is used to compare the passenger travel time with the theoretical travel time to identify the closest effective interchange path, and the joint distribution probability is used to calibrate the probability selection model in terms of travel time and interchange cost. The coefficient, coefficient of interchange passenger flow, penalty coefficient of interchange number, familiarity of road network and other related parameters are combined with the joint distribution probability to calibrate the probability of selection of different effective interchange paths.
Study on rainy Weather Situation of Highway Based on Historical Rainfall Classification
Authors: Zhang Xin
Published: April 2023

The traffic system consists of people, vehicles and roads, as well as the environment around the road during driving. Weather has always been an important factor that cannot be ignored along with the highway. Good weather will bring good vision conditions and psychological conditions to drivers, while bad weather conditions will directly or indirectly affect the driver's operation or vehicle power performance. As one of the most common weather, many people neglect the harm of rainy days to highway driving safety. When the rain reaches a certain level, it will lead to water on the road surface and reduce the friction coefficient of the road surface. If the driver drives too fast at this time, it will be more prone to deviation. When it reaches extremely bad conditions, it can even destroy the subgrade and pavement, which directly causes immeasurable safety hazards. Based on the rainfall data corresponding to the rainfall events in the traffic environment in the past few years, this paper proposes a research method for the characteristics of rainy days, which uses the fuzzy recognition method to classify the rainfall types of rainy days, to study the development trend of rainy days. After obtaining the development trend function of the historical type of rainy days, we can determine the type of the rainy day event and the specific time period of the type by comparing the closeness of the function of the current observation value with time and the historical function, so as to achieve the purpose of forecasting the development trend of the current weather event. Taking the change rate of rainfall change as the characteristic function, we can further quantify the change range of rainfall, the key indicator representing the intensity of rainy days. This strategy model is applied to expressway speed management, which can provide a good reference for traffic managers to make speed limit decisions, and can clearly decide when to cancel the speed limit strategy or upgrade to the road closure strategy.
Smoking Driving Behavior Detection Based on Deep Learning
Authors: Huang Jinfan , Li Rong
Published: April 2023

Smoking in driving not only reduces the accuracy of driving operation, but also leads to insufficient oxygen and higher possibility of traffic accident. Therefore, considering the safety of life and avoiding accidents as far as possible, a detection model based on deep learning which can quickly detect smoking driving behavior is designed. In this model, convolutional neural network is used to process the input frames of the video stream captured by the camera. After the shape feature extraction, fuzzy feature processing, motion feature detection and color feature region comparison, the smoking driving behavior can be judged. Through the design of a series of computer vision detection modules, not only can reduce the calculation of the model, but also improve the efficiency of deduction, so as to meet the performance requirements of real-time monitoring. In order to quickly find out the driver smoking behavior and trigger warning, so as to avoid unnecessary traffic accidents and ensure life safety.
Plant Leaf Diseases Classification Based on Few-Shot Learning
Authors: Wu Wei
Published: April 2023

Plant leaf disease is one of the important factors affecting the normal growth of plants. It is important to accurately identify the types of leaf disease and take effective measures to ensure the increase of crop production. In this study, we propose a plant leaf diseases classification method based on Few-Shot Learning (FSL), which can obtain good identification accuracy in the classification task with few samples. By changing the parameter setting in FSL, some key features affecting classification accuracy are revealed. The proposal of this research method expands the application scope of artificial intelligence in agriculture, which has important practical significance.
Genesis and Prospect Evaluation of Sinongduo Skarn Type Lead-zinc Deposit in Tibet
Authors: Liu Chang , Liu Zhenghua , Zhu Hongyun
Published: April 2023

Tibet Sinongduo lead-zinc mine is one of the largest lead-zinc mines in Tibet Autonomous Region, located in Gongjue County, Changdu City, Tibet Autonomous Region. The deposit mainly produces lead, zinc and other metal elements, which is one of the important metal resources in Tibet. This paper mainly introduces the geological characteristics, ore body characteristics, ore types and wall rock alteration of the Sinongduo lead-zinc deposit in Tibet, further analyzes the genesis of the deposit in the region, sorts out the prospecting indicators in the region, and makes a prospect prediction. It is found that there is a prospect of expanding the scale of the deposit in the deep, southern and northern abnormal areas of the No.1 ore belt in the mining area.
Research on the Influence of Energy Consumption Structure on the Development of "Double Carbon" in Tibet
Authors: Liu Chengpeng , Wan Li , LUOSONGZEREN  , Liu Yue , Wang Wei , SANGYONGLAMU  , Zhang Xiaoyu
Published: April 2023

Tibet is not only rich in mineral energy resources, but also rich in renewable energy such as solar, wind, and hydropower. Vigorously developing clean and renewable energy resources in Tibet can further reduce Tibet's dependence on traditional mineral energy resources and accelerate the transformation of Tibet's energy consumption structure. By analyzing the impact of the objective natural environment on the "dual carbon" development of the energy consumption structure in Tibet, we can further understand the internal motivation and external conditions for the low carbon development of the energy consumption structure in the Tibet Autonomous Region, and thus attempt to propose a development strategy for implementing the low carbon development of the energy consumption structure in the Tibet Autonomous Region, which plays a key role in the low carbon development of the energy consumption structure in the Tibet Autonomous Region.
Summary of Research on Reliability Evaluation Methods for Distribution Networks
Authors: Wu Guolin
Published: April 2023

Existing research has shown that highly reliable network systems can not only significantly reduce their own operation and maintenance costs, but also greatly improve service efficiency. Quick and accurate qualitative analysis and quantitative evaluation of the reliability of distribution networks are essential for both correctly estimating the performance of actual networks and improving network design. This overview will summarize the existing research from four aspects: the current research status of network reliability, logistics network reliability, network reliability under cost constraints, and network reliability under transportation distance constraints, laying a foundation for research on reliability evaluation methods for distribution networks.
Research Progress of Cathode Materials for Graphene-based Fuel Cells
Authors: Zhang Zejun
Published: April 2023

Graphite is the most widely used cathode material for commercial lithium-ion batteries at present, and the increasing market demand puts forward higher requirements for lithium storage performance of graphite cathode materials. Graphene is a kind of cathode material with great development potential, and its lithium storage performance is influenced by many factors such as structural characteristics, oxygen-containing functional groups and impurity atoms, which leads to complex lithium storage behavior and mechanism. When the polymer with lithium storage activity is compounded with graphene as cathode material, the lithium storage performance is affected by the reversibility of polymer redox and the composite structure. In this article, the working principle of Li-lon and the lithium intercalation mechanism of graphite are introduced, and the research status and progress of graphite cathode materials in surface modification and structural regulation in recent years are emphatically reviewed.
Research on Preparation and Progress of Two-Dimensional Perovskite Solar Cells
Authors: Sui Hongde
Published: April 2023

Two-dimensional perovskite solar cells are considered as the most promising new type of solar cells due to their unique advantages such as strong spectral absorption, low cost, adjustable composition, excellent structure, excellent photoelectric characteristics and simple preparation through various processes. This paper will briefly introduce the structure and principle of two-dimensional perovskite solar cells, and introduce the research progress of top electrode materials in detail, including improving the preparation method of metal top electrode materials, repairing and introducing buffer layer and cathode intermediate layer for interface modification. High-performance perovskite solar cells use lead-containing perovskite materials as the light absorbing layer. Even if the device packaging process is perfect, lead-based perovskite materials still have the possibility of causing pollution to the environment, especially when the battery is damaged or the failed solar cells are improperly recycled. Therefore, in this paper, we can obtain high-quality perovskite films by improving the preparation process, solvent engineering and annealing engineering.
Research and Application of Negative Stiffness Device in The Field of Earthquake Prevention and Disaster Reduction
Authors: Guo Ruixiang , Song Xiaosheng , Wei Zihao
Published: April 2023

The negative stiffness device can reduce the equivalent stiffness of the structure, and has a good control effect on the peak shear force and acceleration response. The combination with the structural vibration theory makes the negative stiffness device fully play its role, and at the same time improves the seismic capacity of the structure, forming a negative stiffness vibration control device. Through reading and sorting out the research achievements of domestic and foreign scholars, the research progress of negative stiffness devices in the field of earthquake prevention and disaster reduction is discussed from the aspects of theoretical development, effect, device application and development trend, and the future development is prospected.
Research Progress on The Influence of Gully Treatment on Soil-plant Ecological Stoichiometric Characteristics in Loess Hilly Region
Authors: Shen Jianglong , Niu Ziru
Published: April 2023

Ecological stoichiometry is the integration of the basic principles of biology, chemistry and physics, and the study of the quantitative relationship of chemical elements in the ecological process. It organically combines the theories of various studies in ecology, provides a method to study the econometric relations and laws in the chemical cycle and process of elements, and mainly emphasizes the stoichiometric characteristics of elements. By sorting out the existing research, we can provide a direction for the follow-up research.
The Possible Impacts of Online Learning on Future Education
Authors: Li Yuantong
Published: April 2023

Writing was introduced into teaching in the classical era and had a huge impact on teaching participants, both teachers and students. This impact is reflected in the most important vehicle in teaching, i.e., the teacher's speeches, which were recorded in writing and spread, thus broke the time and space constraints of teaching, allowing students to have the opportunity to learn from teachers from distant places, and even from ancient teachers. In this sense, writing and present online education are similar, yet writing has changed the way we teach, whereas the effects of online learning on the future of education are unknown. As a result, the impact of writing on teaching throughout the classical era can be used to. Drawing on discussions and examples of education in the literature of the classical era, this paper analyzes the influence of writing on teaching in the classical era and the similarities and differences between writing and online learning, predicting that future education will allow students and teachers to participate in education in a more decentralized way. However, due to the importance of interaction needed in education, online education has only changed the use and dissemination of teaching materials, the profession of teachers will not be replaced by online learning, and students still need to compete for better educational opportunities and career start.
China's Practice and Response Strategies for ASI of Standard-essential Patent Disputes
Authors: Liu Xiaonan
Published: April 2023

The Anti-suit injunction (ASI) system originated from the common law system. Its function has developed from the initial solution of domestic parallel litigation to the present widely used in coordinating the handling of international parallel litigation jurisdictional conflicts. In recent years, international parallel litigation is frequent in the Standard-essential Patents (SEPs), and the ASI has become an important institutional tool for resolving jurisdictional disputes over SPEs. In particular, the Chinese judiciary has started the practice of "ASI" in SEP disputes by way of behavior preservation, which has aroused widespread concern of the international community. AS Chinese law has not established an ASI system, the current judicial practice mainly refers to the trial experience in the United Kingdom and the United States, and relies on China's behavioral preservation system to make decisions. However, there are many shortcomings in this ruling itself, for example, Chinese judicial organs have paid attention to the lack of sufficient basis for the time sequence of parallel litigations, their arguments in respect of the public interest and international comity are not sufficient, and the ASI is excessively broad in terms of remedies and territorial coverage. Therefore, it is not only necessary but also urgent to establish a perfect legal system of ASI for China's legislation and judicial practice.
Legal Standard for Materiality of Securities Misrepresentation: Rational Investor and Price Sensitivity Test
Authors: Yang Xupeng
Published: April 2023

In China's judicial practice, there are many difficulties in determining the transaction causation in misrepresentation securities transactions, and there is no uniform approach to the adoption of legal standards. Based on the current law, the latest judicial interpretation and cases, the author analyzed and identified limitations of the legal standards presently applied for transaction causation, and proposed a new method to apply the legal standards. The application of the rational investor standard should avoid the extreme tendency of over-weakness and over-strictness, and adhere to the combination of bottom-line thinking and the actual situation. The application of the price sensitivity standard should fully consider the shortcomings of its realistic basis, and avoid the simple application out of practicality, resulting in the determination of materiality losing scientificity. In addition, the rational investor standard and the price sensitivity standard have an inherent connection and consistency. The court should take the rational investor as the main judgment standard, and the price sensitivity standard as the bottom and supplement of the shortcomings of the rational investor standard, so as to reduce the uncertainty of judicial practice.
Gestures in Renaissance Art Depictions and Their Psychological Importance for the Subjects-Taking The Last Supper As An Example
Authors: Chang Yuxuan
Published: April 2023

This investigation looks into the gestures and psychology behind Renaissance painting. By looking at the gestures, postures and facial expressions of painted figures in The Last Supper, the author will strive to cast a glimpse into the psychological activities of the characters which in turn will reveal the messages that the painter intended to convey. The author extrapolates psychological theories onto the artwork by Leonardo Da Vinci, The Last Supper. The method for investigation will mainly focus on the case study and literature review, through which the author will look into other people’s studies on the subjects of the painting, the use and depiction of gestures during the Renaissance period and other periods. The result of the investigation is that behavioral psychology could be traced back to the Renaissance and the gestures used in artworks such as The Last Supper convey a multi-layers of meanings. For example, Jesus’ tranquility fits into both the dynamic narration of the biblical story and the static rendition (painting) of it. Psychology is indeed something both explanatory and the basis for delivering certain messages in painting as evidenced in the artwork of interest.
Australia’s Foreign Policy towards China from the Perspective of the Multiple Stream Framework
Authors: Zeng Pengyu
Published: April 2023

The relationship between China and Australia has maintained a trend of fluctuating development for a long period since the establishment of diplomatic ties. However, around 2017, Australia gradually adopted negative policies towards China, and the relationship between the two countries cooled down rapidly, with no obvious easing trend. Based on the Multiple Stream Framework, this paper attempts to use the China5G case to analyze the factors contributing to Australia's negative foreign policy toward China. The paper argues that the definition of problems by the top governmental officials and the urgency of the problem mutually determine whether the final resolution is negative or positive toward a country; that the complexity of domestic political party structure and electoral politics imply the preference for national policy; and that the lead of public opinion, as well as the government's political intention to maintain the rule of legality, are the key factors affecting the policy orientation. This analysis aims to better understand the deep connotation of the relationship between China and Australia and provides a thinking path for improving relations between the two countries. It also refers to analyzing the attitudes towards China's rise from other countries in the Asia-Pacific region.
Protective and Risk Factors of Peer Victimization among Adolescents: A Perspective from Victims
Authors: Lin Jiayu
Published: April 2023

Peer victimization occurs when inappropriate behavior deviant from the social moral norm is conducted repeatedly, causing detrimental harm to victims. Growing numbers of studies cast focus on the deleterious consequences of peer victimization and the factors associated with it. The current study reviews previous research and summarizes risk and protective factors linked to peer victimization from a victim's perspective with a focus on social resources, psychological resources, parent-child relationships, and the peer selection process. The popularity enjoyed by adolescents is a protective factor against peer victimization, while peer rejection increases the likelihood of victimization. The number of friends buffers peer victimization, whereas quality's role is unclear. Shyness and internalizing problems increase peer victimization, both of which signal the submissiveness of victims in social interaction and thus be viewed as a weak target. A negative family pattern such as parental psychological control and child maltreatment put adolescents at risk of peer victimization by suppressing autonomy and a deficit of functional social skills, respectively. In addition, the dilemma faced by a victimized individual or internalizing adolescent caused by peer selection is discussed, which implies that the group of people is facing more obstacles in building peer social resources, yet they need it more imperatively. Interventions should be further explored and targeted at the risk and protective factors reviewed in the current study.