bluuebunny/crossref_metadata_2025 huggingface dataset:
LENGTH-WEIGHT RELATIONSHIP AND CONDITION FACTOR OF CLIMBING PERCH (ANABAS TESTUDINEUS, BLOCH)
Authors: Mostafa Zubaer Bin , Tareque A.M. Hasnein Bin , Rasel Md. Shahi Emran , Rahman S.M. Mustafizur
Published: October 2022

Length-weight relationship, condition factor and relative condition factor of climbing perch (Anabas testudineus, Bloch) were studied over a period of eleven months from April 2007 to February 2008. A total of 297 fish samples were collected from Khulna and Bagerhat districts. The length-weight relationship of A. testudineus was linear and the equations for total length-body weight and standard length-body weight were  (r2=0.94) and  (r2=0.94), respectively. The coefficient of correlation indicates that the relationship between length and weight of the fish was highly significant. The maximum and the minimum values of the condition factor were 24.594 (body weight 26.1 g) and 17.809 (body weight 18.9 g), respectively with the mean value of 20.522±1.248. The relative condition factor varied from 0.883 (body weight 12.7 g) to 1.225 (body weight 26.1g) with the mean value of 1.014±0.061.
ANALYTICAL SOLUTION OF THE HILBERT SINGULAR INTEGRAL EQUATION WITH RESPECT TO THE HILBERT FORMULA
Authors: Sifuzzaman M. , Uddin M.S , Hakim M. A. , Hossen M. A. , Mamun M. A.
Published: October 2022

The objective of this paper is to solve the Hilbert singular integral equation of first and second kind by using the Hilbert formula and some known results are obtained as special cases. Applications of these singular integral equations to Boundary value problems of Elasticity and allied subjects are well known.
PRODUCTIVITY AND ECONOMICS OF SHRIMP (Penaeus monodon, FABRICIUS) CULTURE IN LOW SALINITY WATERS
Authors: Moyaduzzaman Mohammad Faruque , Mostafa Mohammed , Hasan Md. Nazmul
Published: October 2022

Black tiger shrimp, Penaeus monodon (Fabricius) is a non-piscine organism becomes most important aquatic resource of Bangladesh in the last decades. Traditionally it is cultured in 15-30 ppt salinity. Effect of different low salinity on its survival, growth, production and economic return was observed in three salinity levels 10 ppt, 7 ppt and 5 ppt for 110 days. Juvenile shrimps (approximately 5g each) were stocked at 4 m-2 density. It was observed that salinity had no significant effect on the survival of P. monodon. However, reduced salinity had significant (p< 0.05) negative impact on individual average growth rate, average weight gain per 14 days, production per unit area (ton/ ha.) and thus economic return. This study revealed that although P. monodon culture is possible in low salinity, the higher salinity ensures better production and economic return.
WIND INDUCED CURRENT AND ITS IMPACT ON TIDALLY FORCED WATER CIRCULATION PATTERN IN A CORAL REEF AREA OF SOUTHWEST JAPAN
Authors: Rahaman S.M.B. , Nakaza Eizo , Kitamura Yasushi , Tsukayama Seikoh
Published: October 2022

Present study was conducted in the coastal region of Ishigaki Island, southwest Japan to analyze possible driving forces of water circulation which is crucial to the understanding of coastal ecosystems. Data were collected through the deployment of oceanographic instruments in and outside the reef. The time series of current velocities indicates that Shiraho coral reef is characterized by an almost regular and controlled water circulation under calm wind condition. Tidally forced oceanic water entered the reef through prominent channel and finally drained out through the southern part of the study area. In the offshore area, tidal currents during flood tide and ebb tide were nearly parallel to the north-south stretch of the reef. Data from Ishigaki Meteorological Observatory indicated that local wind can be an important factor in driving currents both in and outside the reef area. Though the wind field of the region was characterized by both north and south wind, the current field was more strongly influenced by north wind than the south wind. North wind developed a dominant south current inside the reef with a significant temperature drop during winter. During summer, northerly wind contributed to the development of south current in the offshore area as north-south component of wind and current showed the existence of low frequency density peaks. As dominant force came from north wind, no strong peak was seen in the east-west (cross-shore) component of wind and current.
RESETTLEMENT AND REHABILITATION PROGRAMME FOR THE INFRASTRUCTURAL DEVELOPMENTAL PROJECTS: A CASE STUDY OF JAMUNA BRIDGE
Authors: Ahmed Selina , Karim K. M. Rezaul
Published: October 2022

There is a need of infrastructural development for the development of any country. It is for the welfare of the large number of people, though some people may be affected directly or indirectly affected by it. For the construction of the Jamuna Bridge also, some people were affected for whom a massive resettlement and rehabilitation programme were undertaken. The paper tries to review the policy of the Bangladesh Government towards the resettlement and rehabilitation programme undertaken for the affected people by the construction of Jamuna Bridge. It also tries to evaluate the resettlement and rehabilitation programme. The data used for the paper have been collected through social survey and field observation. It is found that the resettlement and rehabilitation programme is different from traditional one and has been introduced for the first time in Bangladesh. In this programme priority has been given to social and economic rehabilitation. As a new type of activity the programme could not be able to avoid different type of problems like providing lower compensation rate for the land than its actual value, construction of temporary houses or ploughing of vegetables and crops in fallow land during the period of land acquisition, deprivation of actual land owners’ right on the basis of false land records etc. In spite of such problems, the importance of the resettlement and rehabilitation programme is placed within its exceptional viewpoint and newness.
ORIGIN, HABITAT AND ECOLOGICAL CLASSIFICATION OF SOME BONY FISHES AVAILABLE IN KHULNA DIVISION, BANGLADESH
Authors: Rahman M.K. , Akhter J.N. , Mondal S. , Mostafa M. , Huq K.A.
Published: October 2022

The study identified the origin, habitat and ecological classification of 78 bony fish species belonging to 30 families available in Khulna division.  Of the total fish species, 9 were found exotic.  Among the collected 78 species, a total of 69 fish species were inhabitants of freshwaters while 4 were found in both fresh and brackish waters and the rest 5 species were found in both brackish and marine waters.  The collected fishes belonged to eight trophic guilds; carnivore (43) was the dominant group followed by omnivore (16), insectivore (5), planktivore (5), benthivore (4) and larvivore (1).  The fishes also represented eight reproductive guilds; phytolithophil (35) was the most dominant guild followed by phytophil (20), pelagophil (6), psammophil (6), guarder (4), bubble nester (4) and mouth brooder (1). The present study indicates that Khulna Division is very rich in fish biodiversity having diverse forms of trophic and reproduction guilds.
EFFECTS OF AERATION ON ARSENIC AND ITS SUBSEQUENT EFFECTS ON GROWTH AND MACROELEMENTS OF RICE
Authors: Shaibur Molla Rahman , Islam Tamanna , Amin Md. Sadiqul , Huq S. M. Imamul , Kawai Shigenao
Published: October 2022

Effects of aeration on arsenic (As) and its subsequent effects on rice growth (Oryza sativa L. cv. Akihikari) and macroelements (P, K, Ca and Mg) were investigated in hydroponic condition. The treatments were control (T1), aeration (T2), 1 ppm As (T3) and 1 ppm As + aeration (T4). Arsenic was added as sodium meta-arsenite (NaAsO2). Plants were grown up to 21 days after treatments (DAT) in greenhouse. After harvesting, roots and shoots were dried and digested separately with H2SO4-H2O2 mixture for measuring P, K, Ca, Mg and As. In T3, P concentration was more in shoots (9.67 mg g-1) compared to that in roots (1.47 mg g-1) with reference to T1 (7.47 mg g-1) and (2.13 mg g-1), respectively. Potassium concentration was less in shoots and roots as compared with T1. In T4, K concentration was increased in shoots compared to only T3 but still lowered than T1 and T2 treatments. In T4, Ca concentration was increased both in shoots and roots compared to T1, T2 and T3 treatments. There was no significant difference between T3 and T4 treatments for K, Ca and Mg accumulations in shoots, indicated that aeration did not have any significant role on As-toxicity reduction in this experimental system. In T3 and T4 treatments, P translocation was increased but did not change K, Ca and Mg translocation. Arsenic concentration in root was almost 20 and 14 times of that in shoots in with and without aerated conditions, respectively.
Model pembelajaran STAD untuk meningkatkan prestasi belajar bahasa indonesia siswa kelas XII IPS 1 tahun pelajaran 2022/2023
Authors: Suhiroh Indriati
Published: October 2022

Sampai saat ini, mata pelajaran Bahasa Indonesia masih menjadi pelajaran wajib pada setiap jenjang pendidikan.Sayangnya,  banyak kendala yang dihadapi seorang guru untuk meningkatkan prestasi belajar siswanya. Model pembelajaran STAD (Student Teams Achievements Divisions) diharapkan mampu membantu siswa mengatasi permasalahan ini. Adapun hal yang dibahas dalam penelitian ini, (a) bagaimanakah peningkatan prestasi belajar Bahasa Indonesia dengan diterapkannya pembelajaran STAD pada siswa Kelas XII IPS1 SMA Negeri 2 Lumajang tahun pelajaran 2022/2023, (b) bagaimanakah pengaruh pembelajaran terhadap STAD terhadap motivasi belajar Bahasa Indonesia pada siswa kelas XII IPS 1 SMAN 2 Lumajang Tahun Pelajaran 2022/2023. Penelitian ini menggunakan penelitian tindakan (action research) sebanyak tiga siklus Setiap siklus terdiri dari empat tahap. Sasaran penelitian ini adalah siswa Kelas XII IPS 1 SMA Negeri 2 Lumajang tahun pelajaran 2022/2023. Data yang diperoleh berupa hasil uji kompetensi, lembar observasi kegiatan belajar mengajar. Dari hasil analisis hasil penelitian didapatkan data bahwa prestasi belajar siswa mengalami peningkatan dari siklus I sampai siklus III yaitu, siklus I (68), siklus II (72), siklus III (78). Sedangkan tingkat ketuntasan belajar siswa dalam mata pelajaran Bahasa Indonesia juga meningkat, yaitu siklus I (60%), siklus II (80%), siklus III (92%). Simpulan dari  penelitian ini adalah model pembelajaran STAD dapat berpengaruh positif terhadap prestasi dan motivasi belajar siswa Kelas XII IPS 1 SMA Negeri 2 Lumajang tahun pelajaran 2022/2023, serta model pembelajaran  ini dapat digunakan untuk meningkatkan proses dan hasil belajar Bahasa Indonesia.
Upaya peningkatan kinerja guru melalui teknik lesson study secara kolaboratif dan rutin di PAUD Terpadu Mustika Angkasa Kota Banjarbaru
Authors: Wardaniyah Endang Sri
Published: October 2022

Peneliti menggunakan teknik Lesson Study yang dilakukan secara kolaboratif dan rutin agar dapat mengetahui peningkatan kesadaran dan tanggung jawab guru akan tugas pokok dan fungsinya yang dibebankan oleh orang tua, masyarakat dan pemerintah, mengetahui peningkatan guru dalam menyusun dan mengevaluasi perencanaan dalam melaksanakan tugas mengajar agar mutu pembelajaran meningkat, mengetahui peningkatan pemahaman guru terhadap tugasnya sebagai agen pembelajaran, dan membentuk dan menciptakan disiplin kerja serta iklim budaya kerja sekolah untuk meningkatkan mutu pembelajaran. Penelitian ini adalah penelitian tindakan sekolah (school Action Research) yang terdiri dari dua siklus. Prosedur penelitian meliputi perencanaan, pelaksanaan, pengamatan, dan refleksi. Subjek dalam penelitian ini adalah guru-guru di PAUD Terpadu Mustika Angkasa dengan jumlah 2 orang guru. Hasil penelitian menunjukkan peningkatan kinerja guru. Dilihat dari hasil siklus I dengan nilai rata-rata 26,5 dan pada siklus II meningkat dengan nilai rata-rata 33. Dengan demikian, penelitian melalui teknik Lesson Study secara kolaboratif dan rutin dapat meningkatkan kinerja guru-guru di PAUD Terpadu Mustika Angkasa.
Meningkatkan kebugaran jasmani siswa kelas V sekolah dasar menggunakan gaya mengajar komando dengan permainan tradisional
Authors: Armansyah Armansyah , Hadi Supian
Published: October 2022

Penelitian ini bertujuan untuk mengetahui apakah metode mengajar komando melalui permainan tradisional dapat meningkatkan hasil kesegaran jasmani dalam pembelajaran penjas.jenis penelitian ini adalah penelitian tindakan kelas (PTK) yang terdiri dari perencanaan, tindakan pengamatan dan refleksi. Subyek peneltian ini adalah siswa kelas V SD Negeri Banua Anyar semester ganjil tahun pelajaran 2021/2022 dengan jumlah siswa 21 orang terdiri dari 13 siswa putra, dan 8 siswa putri. Hasil penelitian siklus satu pertemuan satu diketahui bahwa sebagian besar siswa belum memahami gerakan sehingga tes kesegaran jasmani rata-rata adalah 67 atau ketuntasan klasikal 14,28% dengan kategori sedang. Hasil dari siklus satu pertemuan dua meningkat menjadi dengan rata-rata tes kesegaran jasmani 70 ketuntasan klasikal 57,14% dengan kategori baik. Hasil penelitian siklus kedua pertemuan satu meningkat dengan nilai rata-rata tes kesegaran jasmani 72, ketuntasan klasikal 76,19%. Sedangkan hasil pertemuan siklus dua pertemuan dua diperoleh rata-rata nilai kesegaran jasmani, 74 dengan ketuntasan klasikal 85,71% dengan kategori baik Pembelajaran Materi Kebugaran jasmani dikatakan berhasil apabila tercapai ketuntasan klasikal di SD Negeri Banua Anyar pada materi kesegaran jasmani mata pelajaran penjaskes mencapai 75%. Sedangkan dipenelitian ini sudah mencapai 85,71%. Penggunaan metode modifikasi permainan melalui metode komando terbukti dapat meningkatkan keterampilan kesegaran jasmani siswa SD Negeri Banua Anyar semester genap tahun 2021-2022.
The "Double-Edged Sword" Effect of Employees' Perceived Supervisor Trust on Work-Family Balance
Authors: Yang Xueling
Published: October 2022

This paper examines the "double-edged sword" effect of perceived superior trust on employees' work-family balance based on the work-family resource model. Perceived superior trust explains the dual mediating effect of positive emotions and emotional exhaustion by promoting individual resource generation and depletion mechanisms. The results of the empirical analysis based on 284 employees' questionnaire data revealed that: perceived superior trust positively influences employees' work-family promotion and negatively influences employees' work-family conflict through the partial mediation of positive emotion; perceived superior trust positively influences employees' work-family conflict through the full mediation of emotional exhaustion.
Research on Chinese traditional culture development art innovation design and development system
Authors: Zhang Ling , Liu Yongdi
Published: October 2022

Seeking the integration and innovation of traditional culture and modern technology, through the digital innovation and design research of traditional Chinese culture, the traditional Chinese ancient painting art and contemporary digital technology will go from parallel to active intersection and construct a new era from traditional Chinese culture: expressive form and symbol novelty. While realizing the creative concept design of contemporary Chinese traditional culture, the establishment of an infrared interactive projection system has been completed, and innovations have been made to meet the interactive projection requirements of traditional Chinese traditional culture for complicated technologies such as separation of pen touch points from background images and target tracking of pen touch points, with the breakthrough. They combined interactive projection technology with traditional Chinese culture for re-creation and re-expression, breaking through the inertial cognition of traditional Chinese culture with vision as the main body, emphasizing the correlation between hearing and traditional Chinese culture, and realizing conceptual innovation by designers and architectural designers. Technical personnel cooperate and communicate across borders and finally complete the multi-sensory new experience of digital art expression, providing a new way for digital innovation of traditional art.
Research on Medical and Health Problems and Countermeasures of Female Prisoners in Prison
Authors: Song Sirui
Published: October 2022

Women in jails and prisons have had little access to health care throughout history. The health issues they experience and the element of health care were not considered crucial and received a bit of debate from research. Using the survey method and comparative analysis to analyze secondary data, this article presents the main health problems faced by women prisoners in these fields. This includes Physical health, Healthcare gaps, and lack of gender-specific services, and analyzes the causes of the problem from the corresponding perspective. By discussing five aspects of prison health care, this article discusses: Prioritize medical services, Improve the quality of staff, Provide gender-responsive services, Increase prevention efforts, and Improve follow-up efforts. This paper concludes that the health problems of women prisoners are mainly caused by the lack of resources for health services, difficulties in recruiting medical staff, and the lack of consideration for the special needs of women.
Fragmented viewing of movies in contemporary society
Authors: Miao Zheng
Published: October 2022

With the popularity and rapid development of the Internet, online video has played a very important role in promoting film and television communication. On the basis of online video, the rise of the short video industry has also brought about a huge change in people's movie habits. The fragmented aesthetics of movies are increasingly prominent under the influence of digital technology. The effects stemming from market forces are particularly profound. Marketization requires film production to take into account the types of audiences and to take care of the audience's spiritual fragments, and to be dominated by the aesthetic tastes of younger audiences, film co-production and distribution cross-border market operations, the integration of market awareness and national awareness, and the generalization of films. As well as the market-driven technology and the impact of technology on film narratives, these are all concrete manifestations of the market's impact on the fragmented aesthetics of films. The fragmented aesthetics of films not only liberates the creativity of the public, injects vitality into the market, but also weakens the artistry of films.
Research on hot topics and trends of China's emergency management research based on bibliometrics
Authors: Ye Yantong , Zhang Le , Xue Hao
Published: October 2022

This study summarized 2446 literatures in the field of emergency management research of CNKI from 2003 to 2022. Literature measurement was carried out by CiteSpace and VOSviewer software. From the perspectives of annual publication, institution distribution, journal distribution, author distribution, research topic and research trend, etc., This paper studies the overall development sequence, research hotspots and development trend of the field, and systematically studies the key words, topic evolution state and dynamic evolution path in the field of international emergency management in the past two decades.
Content, Contemporary Situation and Major Effectiveness of Rural Complex Sustainable-Development-Models (SDM) From the Perspective of New Pastoralism—Based on Rural Complex Models “TianYuanLuJia, Zhejiang” and etc.
Authors: Yang Kunyu
Published: October 2022

China is currently in a critical period of consolidating the achievements of poverty alleviation and rural revitalization. As an emerging pattern of rural economic development in China, Rural Complex is getting more and more attention. Some regions have already formed their own development models and many successful cases have emerged. Based on the sustainable development proposition of New Pastoralism, this study analyzes the characteristic development models of three successful state-level Rural Complex cases. On the basis, this paper summarizes the universal features from the characteristics. It finally proposes a Rural Complex Sustainable-Development-Model (SDM) which is "Multiple Integration and Construction of Industries— Simultaneous Protection and Development of Environment— Joint Effort and Sharing of People". This paper provides useful references and policy suggestions for the sustainable development of Chinese rural areas in the new era.
The Examination of Integrated Marketing Strategy of the Cultural and Creative Industries in the Henan Province An example of how Henan TV became a household name in China
Authors: Zhang Tongyao
Published: October 2022

With the popularity of Henan TV programs and the "archaeological blind boxr" in recent years, Henan Provincial Museum, an excellent representative of the development of domestic museum , has become a hot research subject. At present,, the China’s demands for the development of cultural and creative industry have not been met. And the burgeoning cultural and creative industry needs excellent cases for further reference. Based on the current situation and difficulties of the development of museum resources in Henan Provinc, this paper attempted to explore how its utilization of creative marketing methods such as the "blind box economy" to promote the deep integration of cultural resources and cultural and creative industries. Furtherly, the promotion of the in-depth integration of cultural and creative industry in Henan Province through integrated marketing communication was also be elaborated. Finally, this paper proposed targeted improvement measures to contribute to the development of the cultural and creative industry in Henan Province. The paper also offered relevant improvement measures, with a view to playing a positive role in the evolution of cultural and creative industry in other cities and provinces.
Hybrid Approach to Project Management: Still Have a Long Way to Go
Authors: Zhao Hanchen
Published: October 2022

Project success has been inevitably influenced by project management approaches. Researchers and project managers have studied and adopted three different approaches, namely traditional, agile and hybrid, to explore the most suitable approach for the development and success of projects. In this study, the literature research method has been applied. Comparison of the performance, which were provided by previous studies, among three approaches in the fields of technology-based products and services, education and a wide range of international cross-industry projects have been made in the article to prob into the most effective project management approach. Even if the case studies from the literature review were mainly based on some certain countries and regions, which may affect the correctness of the universality of the conclusion, it is noticeable that although more reliable data is needed, currently hybrid approach has been regarded as the most favorable one with both advantages from traditional and agile approaches.
The Development Level of Rural Basic Education in China Under the Background of Rural Revitalization Strategy Analyzing —— Empirical Study Based on Panel Data Model
Authors: Pan Ying , He Ye , Zeng Xing
Published: October 2022

Rural revitalization is a strategic task proposed by the 19th National Congress of the Communist Party of China, and rural areas are the main battlefield of rural revitalization, but seeking the development of rural basic education is undoubtedly the booster for the smooth realization of the rural revitalization strategy. And the countryside needs education and prosperity. [1] In 31 provinces in China as the research object, using hierarchical analysis method and entropy method on the level of rural basic education development factors and weight analysis, get four explanatory variables, reuse panel data model to study the link between four explanatory variables and regional income gap index, analyze the basic education differences in eastern, central, western rural China, and according to the problems existing in the development of corresponding Suggestions.
Research on the Path of Promoting Cultural Confidence of Western Tourists Based on Tourism Activities
Authors: Cui Enrui
Published: October 2022

Tourism perception has always been the focus of scholars' research. This research takes tourism perception as the starting point, and builds a theoretical model of tourism perception, cultural identity, and cultural self-confidence on the basis of Zhou Yijun and Feng Gengyun's research on the mechanism of tourism promoting cultural self-confidence, and structural equation model verifies the relationship between tourism perception, cultural identity, and cultural self-confidence.
The Last Resorts' to Destroy the Democratic Socialist Republic of Sri Lanka
Authors: Zhang Tianai , Cheng Siyu , Luo Ancheng
Published: October 2022

In recent years, many countries have faced severe economic challenges due to the worldwide outbreak of the covid-19. In July 2022, Sri Lanka officially declared bankruptcy. Now, the declining tourism industry caused by the epidemic, unrealistic agricultural reform bills, severe debt crisis, and the failure of religious politics have directly affected the economic health and sustainability of the country. Every country must think about better solutions to overcome the economic crisis during the worldwide pandemic. This paper will use data analysis and logical reasoning to better explore the complex reasons behind the fact. Through research, this paper draws the following conclusions: Firstly, the bankruptcy of Sri Lanka is mainly related to the debt crisis, among which high inflation and civil war have declined the debt repayment ability. Secondly, the external situation and the wrong decision of the Sri Lankan government are the last straw for oppressing the country.
CNN-based MRI analysis of Alzheimer's disease
Authors: Xu Sichuang
Published: October 2022

The dementia known as Alzheimer's disease (AD) damages the brain. It is very common and almost irreversible in the population, and to date, there is no definitive diagnosis and no effective treatment. Despite the lack of comprehensive treatments, studies have shown that early detection can reduce the severity of the disease and lengthen the patient's life by delaying the development of the illness. Machine learning (ML), often known as deep learning, is a fast-growing science that makes extensive use of convolutional neural networks (CNNs). CNNs can be used for image recognition. One of the important features of AD can be observed by Magnetic resonance imaging (MRI): damage to brain cells and partial atrophy. For the training of CNNs, it is possible to achieve high accuracy in the diagnostic classification of AD. This article reviews the latest related studies, analyses the cases using three common CNN methods, ResNet, VGG-16 and GoogLeNet, and evaluates the use of migration methods. In order to help AD patients, get diagnosed sooner and spend longer in remission, this article assesses the use of multiple ML approaches throughout the diagnostic classification of AD and chooses the most accurate method.
The innovative approach to combat cancer: Liquid biopsy and immunotherapy
Authors: Li Xiang
Published: October 2022

Liquid biopsy, as an advanced examination approach, has revealed its powerful function, since it could monitor development of cancer synchronously. Sampling for liquid biopsy usually is blood, so the sampling is feasible, non-invasive and repetitively, which overcomes traumatically sampling of conventional biopsy. Moreover, immunotherapy is considered as a novel treatment of cancer. It aims to enhance the immune system response to cancer. One of immunotherapy called chimeric antigen receptor T cell therapy (CAR-T) has accomplished great success in cancer treatment. The data from recent study has shown the remarkable antitumor activity of CAR-T to hematologic malignancies. Therefore, this review summarized the principles of liquid biopsy and the evaluation of liquid biopsy. Also, the review introduced immunotherapy, general mechanism of CRT-T, structure of CAR and its limitations.
Rethinking in Biology Experiment Teaching in Middle School
Authors: Ren Hongmei
Published: October 2022

Experimental teaching is an organizational form of practical teaching.As a natural science, bioscience plays an important role in the junior middle school education and teaching system, which is very interesting and abstract. Experimental teaching is the basic way of biology teaching and the basic learning method for students to acquire knowledge. Through experimental teaching, students can see the essence through the phenomenon and improve their ability to innovate, discover and solve problems.However, at present, all regions in China pay insufficient attention to experimental teaching, blindly pursue achievements, or the supporting experimental facilities can not keep up, which leads to the slow development and low popularity of experimental teaching; In addition, due to the different emphasis on education, there are also great differences in the current situation of experimental teaching between regions and schools.Taking biology teaching in middle school as the main reference point,this paper explores the current situation of domestic experimental teaching and possible intervention measures,in order to better carry out experimental teaching content.
Application Prospect of Radionuclide Tracer Technology in Clinical Imaging Therapy and Drug Development
Authors: Wan Qinlin
Published: October 2022

In the field of clinical medicine, radionuclide tracer technology is widely used, and it is the research hotspot of imaging diagnosis and drug development. Therefore, radionuclide tracer technology has a very broad application prospect in the clinical field. Radionuclide tracer technology is mainly used in medical imaging tracer imaging to assist clinical departments to diagnose diseases. At the same time, radionuclide tracer technology has been widely used in drug research and development, which is one of the focuses of clinical research.
Research progress and clinical application of stimuli-responsive hydrogels in cervical cancer
Authors: Zhang Ziru
Published: October 2022

Cervical cancer is the fourth most common malignancy in women worldwide and poses a great risk to women's health. There is an urgent need to develop a range of effective and innovative therapeutic options to overcome the shortcomings of conventional treatments: poor efficacy and toxic side effects. As an alternative therapy, a number of advances have been made in hydrogel-based drug delivery systems that enable targeted and localized therapy, as well as controlled release of drugs at the tumor site. These advantages can effectively increase drug concentration and reduce damage to normal sites caused by chemical drug toxicity. This paper reviews the progress of research applications of stimuli-responsive hydrogels in cervical cancer. The response mechanisms of hydrogels and the principles of enhanced drug efficacy are discussed in focus. These include thermal-responsive hydrogels, pH-responsive hydrogels, light-responsive hydrogels, enzyme-responsive hydrogels, and dual-responsive hydrogels. It is also argued that through the increasing understanding of hydrogels, it can be used clinically as an effective and durable therapeutic tool.
KSHV Cancerogenesis and the Novel Strategies in Vaccine Design
Authors: Zhu Feng
Published: October 2022

Kaposi’s sarcoma-associated herpesvirus (KSHV) or human herpesvirus-8 (HHV-8) is an oncogenic virus that is associated with Kaposi’s sarcoma (KS), primary effusion lymphoma (PEL), multicentric Castleman’s disease (MCD), and other immune disorders. During the millions-year-long co-evolution with human, KSHV has developed a sophisticated system to switch and balance its biphasic latent-lytic lifecycle. To date, tons of efforts have been made to unveil its lifecycle and specific cancerogenesis. However, not a single specific, effective, and widely accessible treatment for this virus has been figured out. This article reviews the basis of the KSHV lifecycle and some important factors to generate malignant cancers and then offers a few novel and feasible vaccination strategies.
Research on Noise Suppression Technology of "Black Triangle" of Vibroseis Seismic Data
Authors: Cao Guobin , Zhang Guangde , Zhang Huaibang , Mu Shengqiang , Shu Guoxu , Shu Mengcheng , He Shoudong
Published: October 2022

The "black triangle" noise, harmonic interference, and adjacent gun interference in the seismic data collected by the controllable vibrator seriously affect the signal-to-noise ratio of the seismic data. With the emergence of high-efficiency acquisition technology, the "black triangle" noise the impact is getting bigger and bigger. At present, the geological tasks are often accomplished through higher-level seismic data acquisition and indoor fine processing. In order to suppress the "black triangle" noise of controllable seismic data, the effective suppression of the "black triangle" noise has been achieved through the research of high-resolution time-frequency analysis, "black triangle" noise feature extraction, and Wiener filtering. The "black triangle" noise suppression processing of the actual controllable seismic data in the Shun 8 well area of the Tarim Basin has achieved good results. It is of great significance for optimizing the processing effect of the seismic data collected by the controllable seismic source and popularizing the scope of application of the controllable seismic source.
Modelling and Simulation of Quadrotor Using Model-Based Design
Authors: Zhang Di , Zhang Jing
Published: October 2022

In the recent years, the control of Unmanned Aerial Vehicles (UAV) has become one of the most interesting fields of research, especially for quadrotor aircraft due to the simple structure, superior maneuverability and low cost. This paper presents a Model-Based approach to develop the mathematical model of quadrotor and establish a control method to meet the target of the actual flight. It employs Simulink to design the Proportional Integral Derivative (PID) controller for altitude and attitude loop of quadrotor, and uses Stateflow to implement control logic method for different flight conditions and states.
Automation Solution to Wall-climbing Robot Working for Large-scale Metal Spherical Tanks
Authors: Chen Yonggui , Tang Ping , Kong Shuai , Yan Sunting , Guan Chenfeng , Tian Wei
Published: October 2022

The modern weld inspection by robot operation has been attractive for safe-guarding large-scale pressure equipment in chemical energy industry by avoiding hard labors in harmful and toxic environments, with lower costs and higher efficiency and especially without the need of complex scaffolding. A wall-climbing robot based on permanent magnet adsorption is introduced to perform weld inspections of large-scales metal spherical tanks. This paper expounds the mechanical structure, intelligent visual functionality and intelligent walking system of the designed robot. Its optimized walk paths are proposed. Numerous engineering tests indicate good performance of designed robot in achieving high-quality surface treatment and non-destructive testing for large-scales metal spherical tanks. The suggested scheme provides an automation solution to wall-climbing robots working for large-scale metal spherical tanks.
Research on the Stability of Vehicle Active Shock Absorber Based on Intelligent Control System
Authors: Li Mingjie
Published: October 2022

The traditional vehicle suspension vibration reduction design method uses a fixed damping coefficient to reduce the vibration of the elastic element, and does not consider the different vibration intensity caused by different road conditions and vehicle speeds, and the vibration reduction effect is poor. A finite element design method for vehicle suspension shock absorption optimization is proposed to analyse the function and structure of vehicle suspension shock absorbers. We use the first-order optimization method in the ANSYS finite element software to carry out the optimal design of vehicle suspension damping, and take the damping force of the suspension shock absorber as the optimization objective to carry out the finite element optimization design of the vehicle suspension damping. This ensures that the vibration of the vehicle body is rapidly attenuated, so that the body can quickly reach a stable state. The results show that the fuzzy control strategy can greatly suppress the acceleration of the vehicle body and the dynamic load of the tire, reduce the dynamic travel of the suspension, and the ride comfort, driving safety and operation stability of the vehicle have been significantly improved, and the system suspension has a good comprehensive performance.
Research on intelligent information system of user intelligent behavior data based on computer big data
Authors: Zhang Siyu
Published: October 2022

This paper collects and analyzes users' online behaviors through computer big data technology, uses computer big data intelligent analysis system to analyze users' online shopping behavior, and uses information-based data analysis system to detect consumers' online shopping needs under the e-commerce platform. The main technique used in this paper is the computer browser log mining method. In the user's click stream data, the function keys of Tmall and Taobao webpages are used as data information for classification and collection. This paper uses the Bisecting K-means clustering algorithm to mine the state of interest. Finally, the feature maps of interests and behaviors are summarized. By processing four typical types of e-commerce user demand status, including background management type, continuous search type, product browsing type and information search data, and clustering based on page type, an effective method for dynamically changing demand judgment is obtained. The state of online shoppers is analyzed through data processing, which also proves the effectiveness of the computer intelligent information system.
Quantum computation of Restricted Boltzmann Machines by Monte Carlo Methods
Authors: Yao Yunkai
Published: October 2022

In recent years, the diversification of problems that require computers to solve has attracted attention to the construction of meta-heuristics that can be applied to a wide range of problems, and to specialized computers that implement these meta-heuristics in their devices. The representative meta-heuristics are Simulated Annealing (SA) and its extension to quantum computation, Quantum Annealing (QA), and its path-integral Monte Carlo method for classical simulation Crosson and Harrow showed that for certain problems where QA outperformed SA, SQA achieved performance close to that of QA, and SQA sometimes outperformed SA by an exponential time factor. On the other hand, it remains unclear whether SQA can work efficiently on a wide range of other problems. In this study, we experimentally compared SA and SQA on instances of the restricted Boltzmann machine RBM, known as a fundamental building block in deep learning, and 3SAT, a fundamental combinatorial optimization problem. The results show that SQA gives slightly better solutions than SA as the problem size increases for RBM in terms of both accuracy and computation time in our setting, but the opposite trend is observed for 3SAT, indicating that there is no significant difference between the two methods. From the viewpoint of artificial intelligence research, it is necessary to further examine whether deep learning can be made more efficient by applying QA and SQA to RBM.
The analysis of impact factors in different application scenes of corner reflectors
Authors: Ji Yanxu , Chen Hongjin , Wang Weiyao , Fu Yunqi
Published: October 2022

The corner reflectors are a sort of electromagnetic structure equipment, with a number of important applications in different fields. The applications such as radar calibration and passive influence in military are summarized. Also, theoretical analysis and experimental simulation verification on practical production and application process are conducted. The machining edge length error, machining angle error and the extent of reflective surface deformation of the corner reflector and other errors that are easily introduced in the actual working environment are specifically listed and analyzed, which provides guidance on how to avoid and cope with such errors, both in the design of corner reflectors and in practical applications.
Design of automatic processing and testing furniture system based on SCM
Authors: Jiao Binglong
Published: October 2022

In the automatic processing of products, most factories only put forward improvement schemes in processing efficiency, ignoring qualified rates after processing. Therefore, an automatic processing and testing furniture system based on SCM is proposed in this paper. Based on automatic processing, the workpiece detection device is added. In this paper, MCU as the core, using a vision sensor, stepper motor module, system alarm module, wireless transmission module and LIQUID crystal display module, the workpiece processing and detection. It is used to solve the subsequent detection of processed workpieces. In the whole machining process, the first complete processing and testing process, through a transmission belt, can connect processing and testing using the Keil and Proteus simulation. It is realized the size of the visual sensor, step motor positive &negative, buzzer alarm and LCD display, screening unqualified products for secondary processing, further improve the workpiece factory pass rate, has important application value.
Image Edge Analysis and Application Based on Least Squares Fitting Model
Authors: Su YuYang , Yu BingXuan , Peng Ruixin , Yan HongShu
Published: October 2022

This paper presents an effective method to automatically segment and fit the edge contour curve data of a picture into straight line segments, circular arc segments or elliptical arc segments. Firstly, the curvature of each point is calculated, and the curvature change breakpoints are found to distinguish between straight lines, circular arcs and elliptical arcs; then, circular arc segments and elliptical arcs are distinguished by the change degree of curvature of adjacent points, and the automatic segmentation of contour edges is realized. Finally, the circular arc segment and elliptic arc segment are fitted by least squares method, based on which the length of the straight line, the direction angle of the circular arc, the rotation angle of the elliptic arc and other related information are calculated. The results show that our model can better identify the feature texture information of image edges.
Intelligent learning assistants help oversea students ask questions
Authors: Yu Yi
Published: October 2022

With the development of the economy and the advancement of technology, as well as the positive effects of economic globalization, more and more students are choosing to study abroad. However, for overseas students who are not very fluent in language communication, it will be troublesome, not only for the understanding of the lesson, but also in the communication with the instructors and professors there are great obstacles, in order to stimulate the economy of study abroad, in order to make the students have less difficulties with the teachers in academic research, to achieve the real sense of barrier-free communication, and to improve the academic performance, we use automatic speech recognition (ASR) technology as a template and basic framework. In order to stimulate the economy of study abroad and to make it less difficult for students to communicate with teachers in academic research and to improve their academic performance, we designed an application for automatic speech recognition and language conversion language simplification by using ASR as a template and a basic framework, respectively.
Research of asteroid mining mechanism and global fairness based on TOPSIS and AHP
Authors: Sun Zhengteng
Published: October 2022

With the development of human society, earth resources are increasingly exhausted, and the importance of asteroid mining for human survival is becoming more and more prominent. In this paper, we use TOPSIS, EWM, AHP, and Correlation analysis to describe the definition and model of global equity. We also integrate and divide using the multi-group fairness model's feature selection algorithm, converting the feature selection problem of asteroid resources for N into a multi-group M individual resource allocation problem. The behavior is analyzed and processed by the multi-population fairness algorithm to provide a better allocation solution (a better subset of features), which naturally merges random search and heuristic search to decrease computing effort while achieving improved allocation accuracy. Finally, we verify the practical significance of the model, which can provide policy reference suggestions for decision-makers and is of great significance for the development of mankind in the future.
Study on electromagnetic transient numerical simulation of single-phase inverter circuit
Authors: Gu Yuxuan , Wang Fang , Yang Ming
Published: October 2022

With the continuous progress and development of new energy power generation technology, new energy grid and power electronic devices are widely used in power system, and the modeling requirements for electromagnetic transient simulation analysis of power system are higher and higher. Combined with the research status at home and abroad, this paper first analyzes the single-phase inverter circuit model, and establishes the mathematical model of single-phase inverter circuit in different switching states. Based on the stability, accuracy and efficiency of numerical integration algorithm, different numerical integration substitution methods are applied to the mathematical model established in each state of the circuit, and the electromagnetic transient analysis of single-phase inverter circuit is carried out the correctness and feasibility of the experimental results are verified by comparing with the results in Simulink.
A Survey of Electric Load Forecasting Algorithm Models
Authors: Cao Qiushi
Published: October 2022

With the increasing economic and social development, the load forecasting of the power system plays an increasingly important role in many energy-related fields such as energy dispatching, market-based price forecasting, and capacity allocation for the government and power companies. Based on the long-term research of many scholars, this paper aims to provide a general overview of some specific categories of load forecasting methods and models. Linear models can meet the real needs of forecasting in the early days, represented by autoregressive moving average (ARIMA) , but the lack of modeling ability requires researchers to develop more novel models based on machine learning and deep learning. Algorithms are widely used in the field of load forecasting, including human neural network (ANN) , support vector machine (SVM) , various variants of convolutional neural network (CNN) , memory network (RNN , LSTM...) , etc., which enhance the prediction performance and each have their own unique advantages. While the depth of the network continues to deepen, residual networks are proposed to optimize the model and solve a series of intractable problems. Different models are integrated and integrated together to form a new integrated network to give full play to the advantages of each model. However, these models do not solve the problem once and for all and have their own limitations. Finally, three different experiments are used to compare the three types of models mentioned in this article, and some typical network models are used as examples for performance analysis and demonstration. This review paper summarizes the valuable information of the prediction network, provides valuable information for subsequent research, and provides perspectives and entry points for subsequent research work.