bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Implementation Strategy of Students’ concept Innovation in Chinese Painting Teaching Based on Big Data
Authors: Chen Yuhang 
Published: August 2021

Abstract
With the progress of science and technology, big data technology has penetrated into all aspects of life. The topic of this paper is how to develop students’ concept innovation and learn to learn in Chinese painting teaching under the background of big data, mainly focusing on how to develop and guide students’ concept change in their activity process. This paper uses the research method of case analysis. The research object is the students of a university in our city. I get the necessary data through the questionnaire survey data collected before the course, the communication data with students after class and the creation of works of two parallel classes. Then the questionnaire answers to the data list, after class talk statistics, comparative description and analysis of students’ works. The purpose of this paper is that through the practice of Chinese painting, students can learn to learn, use their brains spontaneously, improve their ability of autonomous learning and innovative ideas, and make different works. Teachers can use their own knowledge and creative experience and Research on the implementation strategy of Chinese painting class to improve their ability to better guide students’ concept innovation.
Research on Transformer Life Forecast Based on Random Forest Algorithm
Authors: Liu Fei , Liu Shili , Gao Xiang , Zhu Xiaohu 
Published: August 2021

Abstract
Accurately assessing the life and operating status of transformers has important guiding significance for the formulation of maintenance strategies for power grid companies, and at the same time plays a key role in the risk management of power grid companies. However, the traditional methods for predicting the remaining life of the equipment have the problems of insufficient accuracy or long data training time. In order to achieve a more accurate assessment of the life and status of the transformer, a random forest-based transformer life prediction method is constructed in this paper. Relying on the theory of big data analysis, by mining and analyzing the accumulated data of massive transformers, the life prediction model of the transformer is established and the characteristic parameters affecting the life of the transformer are extracted to predict the life of the transformer. The experimental data research demonstrates that the model can be accurate and effective Predicting the life of transformers has higher prediction accuracy than traditional methods, providing method references for asset management and risk management of power grid companies.
Characteristics of Aerobics Teaching Based on Big Data Analysis
Authors: Lv Lili , Xu Yijun 
Published: August 2021

Abstract
With the rapid development of big data, it plays an increasingly important role in college teaching. The application of big data technology to the analysis of college aerobics teaching data can not only help teachers understand the current learning situation of students, but also help students’ own development and improve students’ academic performance in a targeted manner. The purpose of this article is to analyze and study the characteristics of college calisthenics teaching based on big data technology. This article prepares and preprocesses student’s course score data, analyzes association rules, and obtains a certain correlation between courses, so as to guide and suggest students to study and choose courses, and provide certain reference; this article is for colleges and universities. The curriculum is analyzed and researched. This article analyzes and evaluates the classroom learning behavior of learners of different grades and majors; analyzes the classroom content and technical effectiveness, and then conducts multi-dimensional analysis and evaluation of the classroom. This article uses literature method, questionnaire method, mathematical statistics method, etc., taking 20 aerobics teachers and 1,000 students of a certain university in this city as the survey objects, and conducts a more in-depth and detailed aerobics teaching status of the current aerobics optional courses in the school. The research, find out the existing problems and influencing factors, and then put forward the corresponding development countermeasures, provide a useful reference for the college aerobics teaching reform. Research shows that there are 328 students who have never participated in extracurricular aerobics exercises, accounting for 38.6% of the total number. It can be seen that the situation of students participating in extracurricular aerobics activities is not optimistic. Relevant departments of the school should strengthen the construction of aerobics campus culture to urge students to actively participate in extracurricular aerobics activities.
Reflections on City Planning and Transportation System under the Normalization of COVID-19 Pandemic Based on Network Survey in the Era of Big Data
Authors: Liang Xiaohong , Li Chunyan , Kong Hao , Zhao Zhexi 
Published: August 2021

Abstract
In order to analyze the impact of COVID-19 on urban transportation and provide policy recommendations for city and transportation planning and management under the normalization of the pandemic, this article conducted an online survey to examine urban mobility change in Beijing. Combined with the current status of transportation operations, this article studied the opportunities and challenges faced by future urban transportation planning, construction and management. The results show that the travel numbers declined during the pandemic and people prefer to travel by cars and bicycles. In the end, this article put forward reflections on city planning and transportation system including creating an efficient life and commuting circle, reshaping the street space to be more friendly for active mobility, building the on-demand and resilient transportation system and promoting the integration of advanced technologies and traffic governance to enhance the resilience of transports system and achieve the smooth operation of urban transportation.
Research on Civil Aircraft Direct Maintenance Cost Analysis and Optimization Based on Data Mining
Authors: Wang Jiexuan 
Published: August 2021

Abstract
Civil aircraft maintenance cost is an important indicator to measure the maintainability and economy of civil aircraft, and it accounts for a considerable proportion of aircraft operating costs. Data mining technology can unearth potentially high-value data from massive aircraft operating data. In this paper, aiming at the problem that there are very few actual aircraft maintenance data that can be effectively used in the development stage of civil aircraft, the research on the direct maintenance cost analysis and optimization method of civil aircraft based on data mining is carried out. The theoretical basis of direct maintenance cost analysis based on data mining is studied, the factors affecting the direct maintenance cost of civil aircraft are analyzed based on data mining, and the DMC analysis method is established. On the basis of the above research, the direct maintenance cost analysis model of civil aircraft was established and optimized to achieve the goal of reducing direct maintenance costs. It is of great significance for reducing aircraft life cycle costs and improving aircraft market competitiveness.
The 50 Commonly Used Pesticide Residue of Peppers in Jiangjin Area by GC-MSMS Method for Screening Based on Textual Data Analysis
Authors: Zeng Xiangping , Yan Lixiu , Gu Qiang , Wang Chuan , Lei Ming 
Published: August 2021

Abstract
the detection of pesticide residues in agricultural products is an important issue related to food safety. In recent years, gc-msms technology, as an efficient method for the detection of pesticide residues in agricultural products, has become a hot research topic at home and abroad. In this paper, gc-msms was used to screen 50 kinds of pesticide residues in Zanthoxylum bungeanum in Jiangjin area. In this paper, 50 kinds of common pesticides in Zanthoxylum bungeanum in Jiangjin area were tested. In this paper, the first step is to grind and soak the prickly ash to extract the detection solution, then purify the detection solution, and then test the detection solution. Through the results of this study, gc-msms method has high sensitivity, which can be accurate to 4.00ng/ml, and 5.6min can detect 50 pesticide residues at the same time. Through the experimental data, we can analyze the impact of pesticide residues on the organic matter in prickly ash.
Bert-Based Text Keyword Extraction
Authors: Qian Yili , Jia Chaochao , Liu Yimei 
Published: August 2021

Abstract
With the explosive growth of network information, in order to obtain the information faster and more accurately, this paper proposes a text keyword extraction method based on Bert. Firstly, the key sentence set is extracted from the background material by Bert model as the information supplement to the text. Then, based on the extended text, TF-IDF, text rank and LDA are combined to extract keywords. The experimental results on real science and technology academic paper data sets show that the performance of the fusion multi type feature combination algorithm is better than that of the traditional single algorithm; and the F value of the algorithm is increased by 1.5% by extracting key sentences from background materials, which further improves the effect of key word extraction.
Fish-Released Kairomones Affect Mosquito Oviposition and Larval Life History
Authors: Silberbush Alon 
Published: August 2021

Abstract
Several species of mosquitoes respond to the presence of kairomones released by larvivorous predators during oviposition habitat selection and larval development. These responses may differ among mosquito species and do not always correlate with larval survival. This study examined the responses of the mosquito Culiseta longiareolata Macquart (Diptera: Culicidae) to kairomones released by three species of fish, Gambusia affinis (Cyprinodontiformes: Poeciliidae), Aphanius mento (Cyprinodontiformes: Cyprinodontidae) and Garra rufa (Cypriniformes: Cyprinidae) during oviposition. In addition, the study examined the effects of kairomones released by Gm. affinis on larval development and survival. Results show that ovipositing female avoided cues from the two larvivorous fish species but not the algivorous Gr. rufa. In addition, developing larvae metamorphosed slower and showed increased mortality when exposed to fish-released kairomones. Culiseta longiareolata larvae are known as dominant competitors, and the straightforward responses of both larvae and adult female to fish-released kairomones may be explained by the lack of additional sources of larval stress other than the presence of predators.
Endoscope-Assisted Resection of Extra-Axial Premedullary Neurenteric Cyst via Far Lateral-Supracondylar Approach: 2-Dimensional Operative Video
Authors: Vakharia Kunal V , Naylor Ryan M , Van Gompel Jamie J 
Published: August 2021

Abstract
Neurenteric cysts are rare congenital lesions that may compress the ventral brainstem.
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In this operative video, we illustrate the surgical treatment of an intradural extra-axial neurenteric cyst extending from the lower pons to the craniocervical junction. The patient, an asymptomatic 52-yr-old female, underwent surveillance imaging of the premedullary lesion for 14 yr without progression. However, after developing progressive strain-induced headaches, imaging revealed a significant enlargement of the lesion with brainstem compression and partial obstruction of the foramen magnum. Therefore, surgical resection was pursued. The patient consented to the procedure.
The patient underwent a lateral suboccipital craniotomy and C1 laminectomy through a far lateral approach. The lesion was immediately visualized upon opening the dura. After identifying the cranial nerves, we resected the tumor while taking care to preserve the neurovascular elements of the cerebellopontine angle and foramen magnum. During the resection, we unexpectedly encountered a firm nodule that was adherent to the right posterior inferior cerebellar artery. This was meticulously dissected and removed en bloc using intraoperative indocyanine green (ICG) angiography. The cavity was inspected with 0-degree and 30-degree endoscopes to ensure complete resection of the lesion.
Gross total resection was confirmed on postoperative magnetic resonance imaging. The patient was neurologically intact with no cranial nerve abnormalities and discharged home on postoperative day 3. This case demonstrates that the far lateral-supracondylar approach affords safe access to the ventral pontomedullary and craniocervical junctions and that intraoperative adjuncts, including ICG angiography and endoscopic visualization, can facilitate complete lesion resection with excellent clinical outcomes.
Intraoperative Simulation: Team Training for Resuscitation While Using Intraoperative Computed Tomography: 2-Dimensional Operative Video
Authors: Goldberg Jacob L , Bustillo Maria , Usenko Jaroslav K , Kuo Philip , Kirnaz Sertac , Carnevale Joseph A , Schwarz Justin T , McGrath Lynn , Sommer Fabian , Medary Branden , Härtl Roger 
Published: August 2021

Abstract
Spine surgeons increasingly use intraoperative computed tomography (iCT) to facilitate surgery. iCT has several advantages, including the ability to decrease radiation exposure, improve surgical accuracy, and decrease operative time.
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However, the large footprint of the equipment can impede fast patient access in the event of an emergency resuscitation. This challenge is compounded when the patient is prone with rigid head fixation. To achieve fast, high-quality resuscitation, a large team must overcome numerous challenges. Cohesive team functioning under these circumstances requires planning, practice, and refinement.
4

As a result of our simulation sessions, we have made several changes to the setup of our iCT cases. The following equipment is now routinely used: extralong tubing between the anesthesia circuit and patient, portable vital monitor, additional intravenous access is obtained, and extension tubing is used with all lines. We have created educational diagrams to streamline 2 challenging processes: optimal bed placement (for supination) and removal of equipment from the operating room (OR) to accommodate an influx of emergency personnel and equipment.
Since the implementation of this protocol, 1 prone posterior cervical patient had intraoperative cardiac arrest. The protocol was followed. Return of spontaneous circulation was achieved within 5 min. The patient was discharged from the hospital with no neurological sequelae. During debriefing, stakeholders uniformly credited the simulated practice with this positive outcome.
Emergency planning is a multifaceted process that continually evolves. With a steady flux of personnel and equipment, ongoing practice is essential to ensure readiness. Here, we share the key elements of our twice-yearly simulation.
This simulation was performed on a training mannequin. This study did not involve human subjects. Any depictions of care rendered to nonidentifiable patients were standard (nonexperimental).
Altered cerebrocerebellar functional connectivity in patients with obstructive sleep apnea and its association with cognitive function
Authors: Park Hea Ree , Cha Jungho , Joo Eun Yeon , Kim Hosung 
Published: August 2021

AbstractStudy ObjectivesPrevious functional MRI studies have reported altered brain networks in patients with obstructive sleep apnea (OSA). However, the extent and pattern of abnormal connectivity were inconsistent across studies, and cerebrocerebellar connections have been rarely assessed. We investigated functional network changes in cerebral and cerebellar cortices of OSA patients.MethodsResting-state functional MRI, polysomnography, and neuropsychological (NP) test data were acquired from 74 OSA patients (age: 45.8 ± 10.7 years) and 33 healthy subjects (39.6 ± 9.3 years). Connectivity matrices were extracted by computing correlation coefficients from various regions of interest, and Fisher r-to-z transformations. In the functional connections that showed significant group differences, linear regression was conducted to examine the association between connectivity and clinical characteristics.ResultsPatients with OSA showed reduced functional connectivity (FC) in cerebrocerebellar connections linking different functional networks, and greater FC in cortical between-network connections in prefrontal regions involving the default mode network (DMN) and the control network. For OSA group, we found no correlation between FC and sleep parameters including lowest SaO2 and arousal index in the connections where significant associations were observed in healthy subjects. FC changes in DMN areas were related to reduced verbal fluency in OSA. Lower local efficiency and lower clustering coefficient of the salience network in the left cerebellum were also observed in OSA.ConclusionsOSA affects mainly the cerebrocerebellar pathway. The disruption of function in these connections are related to sleep fragmentation and hypoxia during sleep. These abnormal network functions, especially DMN, are suggested to participate in cognitive decline of OSA.
Evening-types show highest increase of sleep and mental health problems during the COVID-19 pandemic—multinational study on 19 267 adults
Authors: Merikanto Ilona , Kortesoja Laura , Benedict Christian , Chung Frances , Cedernaes Jonathan , Espie Colin A , Morin Charles M , Dauvilliers Yves , Partinen Markku , De Gennaro Luigi , Wing Yun Kwok , Chan Ngan Yin , Inoue Yuichi , Matsui Kentaro , Holzinger Brigitte , Plazzi Giuseppe , Mota-Rolim Sérgio Arthuro , Leger Damien , Penzel Thomas , Bjorvatn Bjørn 
Published: August 2021

Abstract

Study Objectives
Individual circadian type is a ubiquitous trait defining sleep, with eveningness often associated with poorer sleep and mental health than morningness. However, it is unknown whether COVID-19 pandemic has differentially affected sleep and mental health depending on the circadian type. Here, the differences in sleep and mental health between circadian types are examined globally before and during the COVID-19 pandemic.

Methods
The sample collected between May and August 2020 across 12 countries/regions consisted of 19 267 adults with information on their circadian type. Statistical analyses were performed by using Complex Sample procedures, stratified by country and weighted by the number of inhabitants in the country/area of interest and by the relative number of responders in that country/area.

Results
Evening-types had poorer mental health, well-being, and quality of life or health than other circadian types during the pandemic. Sleep–wake schedules were delayed especially on working days, and evening-types reported an increase in sleep duration. Sleep problems increased in all circadian types, but especially among evening-types, moderated by financial suffering and confinement. Intermediate-types were less vulnerable to sleep changes, although morningness protected from most sleep problems. These findings were confirmed after adjusting for age, sex, duration of the confinement, or socio-economic status during the pandemic.

Conclusions
These findings indicate an alarming increase in sleep and mental health problems, especially among evening-types as compared to other circadian types during the pandemic.
Prevalence of Hypertension Among Pregnant Women When Using the 2017 American College of Cardiology/American Heart Association Blood Pressure Guidelines and Association With Maternal and Fetal Outcomes
Authors: Bello Natalie A. , Zhou Hui , Cheetham T. Craig , Miller Eliza , Getahun Darios , Fassett Michael J. , Reynolds Kristi 
Published: August 2021

(Abstracted from JAMA Netw Open 2021;4:e213808)
Until 2017, the American College of Cardiology (ACC), American Heart Association (AHA), and American College of Obstetricians and Gynecologists (ACOG) had a common threshold for diagnosing hypertension: a blood pressure of 140/90 mm Hg or higher. That year, based on the outcomes of randomized trials on nonpregnant adults, the ACC-AHA lowered its recommended threshold to 130/80 mm Hg or higher.
Screening Embryos for Polygenic Conditions and Traits: Ethical Considerations for an Emerging Technology
Authors: Lázaro-Muñoz Gabriel , Pereira Stacey , Carmi Shai , Lencz Todd 
Published: August 2021

(Abstracted from Genet Med 2021;23:432–434)
Polygenic embryo screening (PES) uses polygenic risk scores (PRSs) to estimate risk for complex disorders and traits as a part of preimplantation genetic testing (PGT). Preimplantation genetic testing has been used for many years in order to avoid transferring embryos that have aneuploidies or single gene Mendelian disorders.
The Reproducibility of Trophectoderm Biopsies in Euploid, Aneuploid, and Mosaic Embryos Using Independently Verified Next-Generation Sequencing (NGS): A Pilot Study
Authors: Sachdev Nidhee M. , McCulloh David H. , Kramer Yael , Keefe David , Grifo James A. 
Published: August 2021

(Abstracted from J Assist Reprod Genet 2020;37:559–571)
Aneuploidy represents the major cause of implantation failure and miscarriage. Preimplantation genetic testing (PGT-A) was developed to select euploid embryos for transfer and improve pregnancy rate.
Skeletal muscle immunohistochemistry of acquired and hereditary myopathies
Authors: Danielsson Olof , Häggqvist Bo 
Published: August 2021

Purpose of review
The continued development in the field of immunohistochemistry (IHC) has improved the ability to diagnose muscle diseases. Many hereditary diseases are diagnosed by the absence or abnormal localization of proteins. Detection of secondary pathological protein expression is also used in diagnostics, and to study disease processes. We relate and discuss recent reports, where IHC has been an important tool in the investigation of muscle diseases.

Recent findings
In idiopathic inflammatory myopathies, IHC has extended its role to diagnose subgroups. This is most evident concerning immune-mediated necrotizing myopathy and antisynthetase syndrome. The availability of new antibodies has increased the sensitivity of a muscle biopsy to diagnose several hereditary myopathies. The introduction of protein restoration therapies in muscular dystrophies also comes with the need to detect and measure protein levels. For the study of disease processes at the protein level, in both acquired and hereditary myopathies IHC, often combined with gene studies, PCR-based methods, western blotting and electron microscopy, continues to bring forth interesting results.

Summary
IHC is an integrated tool in muscle pathology, where recent studies contribute to improved diagnostic skills and increased insights into disease processes.