Scientific Research Platform Research Articles

PyMieLab_V1.0: A software for calculating the light scattering and absorption of spherical particles

Light scattering and absorption by small particles are widely used in fields such as biomedicine, information technology, and energy technology. However, their theoretical study requires not only a high level of knowledge in electromagnetism but also a high level of computer programming skills. To solve this problem, a software called PyMieLab (https://gitlab.com/Climb12/pymielab.git) for calculating the light scattering and absorption of spherical particles has been developed based on Mie theory. This software is interactive, versatile, visual, flexible, and scalable. It has a friendly graphical user interface and can be used as a numerical simulation platform for scientific research, as well as provides a rich database of particle refractive indices. Moreover, it offers a reliable research platform for discovering new optical properties of specific materials and exploring materials with better optical properties in related fields. This paper describes in detail the theoretical basis, the graphical user interface, the calculation functions, the operational and procedural processes, the features, and the numerical verification of the software. It illustrates the application value of the software with two simulation examples.

The Role of the Scientific Research Platform of Private Undergraduate Universities in Improving the Quality of Talent Cultivation

At present, private undergraduate universities in provinces are developing rapidly, the connotation is gradually enhanced, and the level is in urgent need of improvement. However, the quality of talent training does not fit the needs of local economic and social development. And via giving full play to the flexibility of the private school-running model, taking the initiative to rely on the advantage of the founders’ technology innovation and industrial resources, strengthening the construction of characteristic scientific research platform, forming scientific research teams, teachers’ academic quality and skill levels can be enhanced and students’ innovation consciousness and practice ability can be strengthened, then the needs of economic and social development of the applied talents training quality of continued ascension can be promoted to meet.

The Role of the Scientific Research Platform of Private Undergraduate Universities in Improving the Quality of Talent Cultivation

At present, private undergraduate universities in provinces are developing rapidly, the connotation is gradually enhanced, and the level is in urgent need of improvement. However, the quality of talent training does not fit the needs of local economic and social development. And via giving full play to the flexibility of the private school-running model, taking the initiative to rely on the advantage of the founders’ technology innovation and industrial resources, strengthening the construction of characteristic scientific research platform, forming scientific research teams, teachers’ academic quality and skill levels can be enhanced and students’ innovation consciousness and practice ability can be strengthened, then the needs of economic and social development of the applied talents training quality of continued ascension can be promoted to meet.

Establishment and validation of a radiological-radiomics model for predicting high-grade patterns of lung adenocarcinoma less than or equal to 3 cm.

ObjectiveWe aimed to develop a Radiological-Radiomics (R-R) based model for predicting the high-grade pattern (HGP) of lung adenocarcinoma and evaluate its predictive performance.MethodsThe clinical, pathological, and imaging data of 374 patients pathologically confirmed with lung adenocarcinoma (374 lesions in total) were retrospectively analyzed. The 374 lesions were assigned to HGP (n = 81) and non-high-grade pattern (n-HGP, n = 293) groups depending on the presence or absence of high-grade components in pathological findings. The least absolute shrinkage and selection operator (LASSO) method was utilized to screen features on the United Imaging artificial intelligence scientific research platform, and logistic regression models for predicting HGP were constructed, namely, Radiological model, Radiomics model, and R-R model. Also, receiver operating curve (ROC) curves were plotted on the platform, generating corresponding area under the curve (AUC), sensitivity, specificity, and accuracy. Using the platform, nomograms for R-R models were also provided, and calibration curves and decision curves were drawn to evaluate the performance and clinical utility of the model. The statistical differences in the performance of the models were compared by the DeLong test.ResultsThe R-R model for HGP prediction achieved an AUC value of 0.923 (95% CI: 0.891-0.948), a sensitivity of 87.0%, a specificity of 83.4%, and an accuracy of 84.2% in the training set. In the validation set, this model exhibited an AUC value of 0.920 (95% CI: 0.887-0.945), a sensitivity of 87.5%, a specificity of 83.3%, and an accuracy of 84.2%. The DeLong test demonstrated optimal performance of the R-R model among the three models, and decision curves validated the clinical utility of the R-R model.ConclusionIn this study, we developed a fusion model using radiomic features combined with radiological features to predict the high-grade pattern of lung adenocarcinoma, and this model shows excellent diagnostic performance. The R-R model can provide certain guidance for clinical diagnosis and surgical treatment plans, contributing to improving the prognosis of patients.

A research review of experimental animal models with myelodysplastic syndrome.

Myelodysplastic syndrome (MDS) consists of a group of hematologic tumors that are derived from the clonal proliferation of hematopoietic stem cells, featuring abnormal hematopoietic cell development and ineffective hematopoiesis. Animal models are an important scientific research platform that has been widely applied in the research of human diseases, especially tumors. Animal models with MDS can simulate characteristic human genetic variations and tumor phenotypes. They also provide a reliable platform for the exploration of the pathogenesis and diagnostic markers of MDS as well as for a drug efficacy evaluation. This paper reviews the research status of three animal models and a new spontaneous mouse model with MDS.

The Laboratory Intelligent Management System Using NB-IoT and Artificial Intelligence Technology

For the traditional laboratory manual management, there is a need for laboratory managers. The managers cannot keep abreast of the laboratory conditions, and forget to shut down and close the windows, causing waste of electricity and equipment damage. Based on NB-IoT and artificial intelligence, a laser intelligent management system is developed using technologies such as network communication, intranet, automatic control, artificial intelligence, and software. Through this system, administrators can grasp the situation of the laboratory in real time, realize the intelligent management of the laboratory, improve the scientific management of the laboratory, improve the work efficiency of laboratory technicians, and better play the laboratory as an important platform for scientific research training in colleges and universities. This paper aims to develop an intelligent laboratory management system based on NB-IoT and AI technology. Through this system, the manager can grasp the situation of the laboratory in real time, realize the intelligent management of the laboratory, and better play the role of the laboratory as an important platform for scientific research and talent training.

Modular Microfluidics: Current Status and Future Prospects.

This review mainly studies the development status, limitations, and future directions of modular microfluidic systems. Microfluidic technology is an important tool platform for scientific research and plays an important role in various fields. With the continuous development of microfluidic applications, conventional monolithic microfluidic chips show more and more limitations. A modular microfluidic system is a system composed of interconnected, independent modular microfluidic chips, which are easy to use, highly customizable, and on-site deployable. In this paper, the current forms of modular microfluidic systems are classified and studied. The popular fabrication techniques for modular blocks, the major application scenarios of modular microfluidics, and the limitations of modular techniques are also discussed. Lastly, this review provides prospects for the future direction of modular microfluidic technologies.

Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma

BackgroundThe determination of HER2 expression status contributes significantly to HER2-targeted therapy in breast carcinoma. However, an economical, efficient, and non-invasive assessment of HER2 is lacking. We aimed to develop a clinicoradiomic nomogram based on radiomics scores extracted from multiparametric MRI (mpMRI, including ADC-map, T2W1, DCE-T1WI) and clinical risk factors to assess HER2 status.MethodsWe retrospectively collected 214 patients with pathologically confirmed invasive ductal carcinoma between January 2018 to March 2021 from Fudan University Shanghai Cancer Center, and randomly divided this cohort into training set (n = 128, 42 HER2-positive and 86 HER2-negative cases) and validation set (n = 86, 28 HER2-positive and 58 HER2-negative cases) at a ratio of 6:4. The original and transformed pretherapy mpMRI images were treated by semi-automated segmentation and manual modification on the DeepWise scientific research platform v1.6 (http://keyan.deepwise.com/), then radiomics feature extraction was implemented with PyRadiomics library. Recursive feature elimination (RFE) based on logistic regression (LR) and LASSO regression were adpoted to identify optimal features before modeling. LR, Linear Discriminant Analysis (LDA), support vector machine (SVM), random forest (RF), naive Bayesian (NB) and XGBoost (XGB) algorithms were used to construct the radiomics signatures. Independent clinical predictors were identified through univariate logistic analysis (age, tumor location, ki-67 index, histological grade, and lymph node metastasis). Then, the radiomics signature with the best diagnostic performance (Rad score) was further combined with significant clinical risk factors to develop a clinicoradiomic model (nomogram) using multivariate logistic regression. The discriminative power of the constructed models were evaluated by AUC, DeLong test, calibration curve, and decision curve analysis (DCA).Results70 (32.71%) of the enrolled 214 cases were HER2-positive, while 144 (67.29%) were HER2-negative. Eleven best radiomics features were retained to develop 6 radiomcis classifiers in which RF classifier showed the highest AUC of 0.887 (95%CI: 0.827–0.947) in the training set and acheived the AUC of 0.840 (95%CI: 0.758–0.922) in the validation set. A nomogram that incorporated the Rad score with two selected clinical factors (Ki-67 index and histological grade) was constructed and yielded better discrimination compared with Rad score (p = 0.374, Delong test), with an AUC of 0.945 (95%CI: 0.904–0.987) in the training set and 0.868 (95%CI: 0.789–0.948; p = 0.123) in the validation set. Moreover, calibration with the p-value of 0.732 using Hosmer–Lemeshow test demonstrated good agreement, and the DCA verified the benefits of the nomogram.ConclusionPost largescale validation, the clinicoradiomic nomogram may have the potential to be used as a non-invasive tool for determination of HER2 expression status in clinical HER2-targeted therapy prediction.

INFLUENCE OF URBAN LAND EXPROPRIATION ON CRIME RATE BASED ON AFFECTIVE DISORDER AND ANXIETY FACTORS

INFLUENCE OF URBAN LAND EXPROPRIATION ON CRIME RATE BASED ON AFFECTIVE DISORDER AND ANXIETY FACTORS

Caryocar coriaceum Wittm. (Caryocaraceae): Botany, Ethnomedicinal Uses, Biological Activities, Phytochemistry, Extractivism and Conservation Needs.

Caryocar coriaceum is an endemic tree of Brazil, occurring mainly in the northeast region in the Cerrado environment. The species, popularly known as “pequi”, produces fruits that are used in the manufacture of oil for food and medicinal purposes. This work reviewed studies conducted with the species, highlighting its ethnomedicinal use, its pharmacological potential, including its chemical constituents, and its cultural and socioeconomic importance. Information was obtained through the main scientific research platforms. The keyword “Caryocar coriaceum” was used as the main index for searching the following platforms: PubMed®, PubMed Central®, SciElo, Scopus® and Web of ScienceTM. The compiled papers demonstrate that C. coriaceum has great medicinal, economic and cultural importance for northeastern Brazil. Popularly, the fruits of C. coriaceum are used to treat broncho-pulmonary diseases (bronchitis, colds and flu). The fixed oil is widely used to relieve pain from various causes in the treatment of inflammation, flu, eczema, burns, fever, rickets, indigestion, heart murmurs, fatigue and erectile dysfunction. Some of these uses are corroborated by pharmacological trials, which have demonstrated the antioxidant, healing, anti-inflammatory, gastroprotective, antinociceptive and antimicrobial properties of the species. Chemically, fatty acids and phenolic compounds are the main constituents recorded for the species. Due to its medicinal properties, the fruits and oil of C. coriaceum have a high commercial demand and are one of the main forms of subsistence activities for local populations. On the other hand, the extractive practice of the fruits, associated with anthropic factors and its physiological nature, makes the species threatened with extinction. Thus, public management policies are highly necessary in order to avoid its extinction.

The Impact of the CEDD-NET on the Evaluation of Rare Disorders: A Multicenter Scientific Research Platform in the Field of Pediatric Endocrinology

Objective:The database http://cedd.saglik-network.org (CEDD-NET) has been operating since 2013 in Turkey. All pediatric endocrinologists can propose projects to this network. The aim of our study was to determine the impact of CEDD-NET on the transformation of multicenter studies into scientific publications and assess the academic characteristics of the studies that have been transcribed into publication.Methods:All the studies that were opened to patient admission on the website between August 26, 2013 and March 1, 2021 were reviewed.Results:A total of 30 studies were accepted and opened for data entry. The median data collection period was 12 (1.5-24) months, while the median number of researchers participated was 23 (3-180), the median number of cases was 120 (26-192). The average cost was $2113 (1370-3118). Out of 30 studies, data entry was completed for 27. Sixteen publications were produced from 14 studies, 13 ot them have not published yet. The median time from the end of data entry to publication of the study was 686 (168-1608) days. While the median impact factor of the journals in which the studies were published was 1.803 (1.278-5.399), the median number of citations was 6.5 (0-49), and cited by 99 times in Web of Science indexed journals in total.Conclusion:CEDD-NET appears to be productive and effective as all the publications are of high quality that have been published in the Q1-Q2 categories. This study demonstrated the benefits and necessity of establishing nationwide databases, even covering more than one country, in specialized branches, such as pediatric endocrinology where rare diseases are of concern.

Discussion and Optimization of Teaching Practice of Chemistry of Chinese Materia Medica Based on Student-Centered and Big Health Industry

Chemistry of Chinese Materia Medica (CCMM) is a discipline that uses the basics of chemistry and other related disciplines to study the effective substances of traditional Chinese medicine. With the advancement of the modernization of traditional Chinese medicine, the scientific research platform of CCMM have been significantly improved. Thus, the progress of the traditional Chinese medicine industry, especially the rise of the health industry has been promoted. With the help of resources such as MOOCs and micro-classes, the teaching method of CCMM is realized by flipped classrooms, which truly breaks the boundaries between in and out of class, online and offline, making “The study of CCMM” everywhere. This teaching mode can effectively enhance students’ interest, increase effective learning time, and greatly improve teaching efficiency and effects.

The Impact of the CEDD-NET on the Evaluation of Rare Disorders: A Multicenter Scientific Research Platform in the Field of Pediatric Endocrinology

The Impact of the CEDD-NET on the Evaluation of Rare Disorders: A Multicenter Scientific Research Platform in the Field of Pediatric Endocrinology

In Search of a Development Model for the Internationalization of Higher Vocational Education in the Context of “Double High-Level Plan”: Take Zhejiang Province “Double High” Construction Schools as an Example

The internationalization of education is one of the core construction contents of the “Double High-Level Plan” issued by the Ministry of Education and important support of the country’s opening-up strategy such as the construction of “The Belt and Road Initiative”. Fifteen higher vocational colleges in Zhejiang province have been selected into the national “Double High-Level Plan”. They have achieved preliminary results in the internationalization of education, such as the introduction and output of high-quality resources, the construction of scientific research and cultural exchange platforms. However, there are still challenges faced with education internationalization, including working concept, system and mechanism, and construction achievements. Therefore, in this paper, with reference to the construction requirements of “Double High-Level Plan” and the current development of these 15 “Double High-Level Plan” vocational schools, it puts forward “124” development model for the internationalization of higher vocational education, namely focusing on “CPC construction” as a core, making two major education platforms of “bringing in” and “going out” strategy, perfecting professional construction, faculty training, communication platform construction, and students cultivation, so as to construct a development model for the internationalization of higher vocational education with Zhejiang characteristics.

Reconfigurable Pilot Lines Enabling Industry Digitalization: An Approach for Transforming Industry and Academia Needs to Requirements Specifications

Reconfigurable Pilot Lines (RPLs) are one practical concept for implementing the test-before-invest strategy to improve skills and capabilities of European small and medium enterprises (SMEs). SMEs typically have limited resources for systematically exploring the potential benefits of available technologies. By utilizing the RPLs offered by research institutes and universities, companies can get both commercially uncommitted and realistic proof-of-concept studies for their applications, and valuable information about the skills and personnel competences needed for successful implementation of the new technologies. Test-before-invest services offered by RPLs can also foster the process of adopting new digital technologies in manufacturing industry. RPLs are versatile. RPL can act as a test bed for manufacturing company’s investment study, industry-scale product development laboratory for technology provider, as well as a platform for scientific research and education. Due to versatile roles and functions, defining pilot line requirements specifications call for systematic contribution from both industry and academia. This paper introduces a collaborative approach for defining requirements specifications for RPLs from the future technology skills development perspective. As a basis for this research, we combine results of three joined industry-academia workshops and one academic workshop with total 87 participants utilizing Affinity Wall method. This data was supplemented with an online survey for 74 companies from manufacturing industry. The analysis indicates that defining requirements specifications and development roadmaps for RPLs is a complex process, requiring multidisciplinary collaboration. Based on the analysis, a conceptual model supporting the requirements specification work is proposed in this paper. The model was applied to an existing testbed environment for further evaluation.

依托科研平台培养个性化创新人才的探索与实践——以四川某高校为例

依托科研平台培养个性化创新人才的探索与实践——以四川某高校为例

Eosinopenia as a biomarker for antibiotic use in COPD exacerbations: protocol for a retrospective hospital-based cohort study

IntroductionThe acute exacerbation of chronic obstructive pulmonary disease (AECOPD) has a seriously negative impact on patients’ healths condition and disease progression. Bacterial infection is closely related to AECOPD, and antibiotics...

Extracorporeal membrane oxygenation experiences during COVID-19 pandemic, third wave with younger patients: A retrospective observational study.

OBJECTIVES:In this article, the results of severe coronavirus disease 2019 (COVID-19) cases followed with extracorporeal membrane oxygenation (ECMO) support in a 3-month period in the third wave when there were an increased number of cases of young patients in our intensive care unit (ICU) were presented.METHODS:The study was carried out with all COVID-19 patients who were given ECMO support in our tertiary referral hospital ICU after obtaining the consent of the Ministry of Health Scientific Research Platform and after the approval of the local ethics committee. Patient data were obtained retrospectively from intensive care bedside follow-up charts and computer records. The demographic and clinical characteristics of the patients were presented in average, median, and percentages. The data of the patients were evaluated and compared with the current literature.RESULTS:ECMO treatment was applied in seven patients who were followed up with severe COVID-19 pneumonia in the last 3 months. Venovenous extracorporeal membrane oxygenation (VV-ECMO) was applied to all patients. Five (71.5%) of seven patients were weaned from ECMO. Four (57.2%) of seven patients were discharged from the ICU and hospital in good health. While two of the patients had a cesarean section (C/S) before ECMO, one patient underwent C/S under ECMO. All three newborns were delivered via C/S and all were premature (C/S dates were 35 weeks, 32 weeks, and 27 weeks), and all were discharged from the hospital in good health.CONCLUSION:Our experience shows that ECMO in COVID-19 patients is a lifesaving treatment option that can be successfully applied in severe acute respiratory distress syndrome cases who do not respond to conventional treatments.

Probe method to measure the electromagnetic field in a plasma by Poynting vector conversion

In this paper, a high-precision electromagnetic measurement system suitable for a high-temperature and high-speed plasma is built to provide a platform for scientific research on the interaction mechanism of the electromagnetic fields and a plasma. This paper presents a method to measure the electromagnetic field inside a plasma by using a probe and Poynting vector conversion, which is a new and completely different method from the traditional method of measuring the electromagnetic field inside plasma. In addition, for this system and method, this work designs a microstrip antenna probe that can suppress multipath effects. This method is confirmed to be valid and usable after closed-loop verification by the CST software.

Performance analysis of the mooring system of a two-module scientific research and demonstration platform

Performance analysis of the mooring system of a two-module scientific research and demonstration platform