bluuebunny/crossref_metadata_2025 huggingface dataset:
Intraoperative Computed Tomography in Orthopaedic Trauma Surgery
Authors: Keil Holger , Vetter Sven Y. , Grützner Paul Alfred , Franke Jochen
Published: April 2021

Background When using mobile 3D C-arms, impairments in image quality occur due to artefacts caused by metal implants as well as to the limited field of view. To avoid these
restrictions, special computed tomography devices were designed, in order to improve image quality and to meet requirements for intraoperative usage.

Objectives To analyse practicability and benefits of a mobile intraoperative CT device (Airo, Brainlab, Munich, Germany) on the basis of several parameters that were obtained during
a 40-month period.

Materials and Methods All procedures that were performed with usage of intraoperative CT between January 2017 and April 2020 were analysed with respect to anatomical region, count of
scans, duration of scans, consequences drawn from the scans and use of navigation.

Results 354 CT-scans were performed in 171 patients (mean 2.07 [1 – 6] scans per procedure). 47.81% of the procedures were spinal, 52.19% affected the pelvis. 83% of the procedures
were navigated. In 22% of patients, improvement in implant placement or reduction was achieved; in most patients (55%), a guidewire for pedicle screws was corrected. The mean scan duration
was 10.33 s (3.54 – 21.72).

Conclusions Use of intraoperative CT was reliable and helpful. Integration in OR standards requires more effort than mobile 3D C-arms. Image quality was outstanding for
intraoperative conditions and allowed proper assessment of implant placement and reduction in all cases. Due to the high financial outlay of the system and the good image quality of 3D
C-arms in the extremities, we assume that this procedure can be applied in intraoperative CT in traumatological cases in spinal and pelvic surgery in high-level trauma centres.
Diagnosis and Treatment of Endometriosis. Guideline of the DGGG, SGGG and OEGGG (S2k Level, AWMF Registry Number 015/045, August 2020)
Authors: Burghaus Stefanie , Schäfer Sebastian D. , Beckmann Matthias W. , Brandes Iris , Brünahl Christian , Chvatal Radek , Drahoňovský Jan , Dudek Wojciech , Ebert Andreas D. , Fahlbusch Christine , Fehm Tanja , Fehr Peter Martin , Hack Carolin C. , Häuser Winfried , Hancke Katharina , Heinecke Volker , Horn Lars-Christian , Houbois Christian , Klapp Christine , Kramer Heike , Krentel Harald , Langrehr Jan , Matuschewski Heike , Mayer Ines , Mechsner Sylvia , Müller Andreas , Müller Armelle , Müller Michael , Oppelt Peter , Papathemelis Thomas , Renner Stefan P. , Schmidt Dietmar , Schüring Andreas , Schweppe Karl-Werner , Seeber Beata , Siedentopf Friederike , Sirbu Horia , Soeffge Daniela , Weidner Kerstin , Zraik Isabella , Ulrich Uwe Andreas
Published: April 2021

Aims The aim of this official guideline published and coordinated by the German Society of Gynaecology and Obstetrics (DGGG) in cooperation with the Austrian Society for Gynaecology and Obstetrics (OEGGG) and the Swiss Society for Gynaecology and Obstetrics (SGGG) was to provide consensus-based recommendations for the diagnosis and treatment of endometriosis based on an evaluation of the relevant literature.

Methods This S2k guideline represents the structured consensus of a representative panel of experts with different professional backgrounds commissioned by the Guideline Committee of the DGGG, OEGGG and SGGG.

Recommendations Recommendations on the epidemiology, aetiology, classification, symptomatology, diagnosis and treatment of endometriosis are given and special situations are discussed.
Patientensicherheit in der Dermatologie: Definitionen und Fehlermonitoring
Authors: Elsner P.
Published: April 2021

Medizinethisch ist der Arzt nach dem „Nil nocere“-Prinzip verpflichtet, einem Patienten durch eine Behandlung zu nutzen und nicht zu schaden, auch wenn die Behandlung erfolglos sein mag. Das ärztliche Haftungs- und Berufsrecht fordert, dass eine Behandlung nach dem Standard eines sorgfältigen Facharztes zu erfolgen hat. Gleichwohl kommt es in Kliniken und Praxen immer wieder zu „vermeidbaren unerwünschten medizinischen Ereignissen“, die definiert sind als „Patienten schadende Vorkommnisse, die eher auf der Behandlung als auf der Erkrankung selbst beruhen und die durch einen Fehler verursacht sind“. Patientensicherheit als in der Medizin erstrebenswertes Handlungsziel bedeutet die Minimierung derartiger unerwünschter Ereignisse. Dies setzt voraus, dass unerwünschte Ereignisse und die zu ihnen führenden Risikosituationen erfasst und analysiert werden; dafür eignen sich Register wie „Critical Incidence Reporting Systems“ (CIRS) und die Fälle der Gutachterkommissionen bei den Landesärztekammern. Die Analyse von Gutachten zu Behandlungsfehlervorwürfen gegen Dermatologen ergab, dass nicht operative Therapiefehler an der Spitze der bestätigten Fehler stehen, gefolgt von Diagnostikfehlern und operativen Therapiefehlern. Aus diesen Erkenntnissen können konkrete Empfehlungen für Initiativen zur Verbesserung der Patientensicherheit in der Dermatologie abgeleitet werden.
Vitamin D und Omega-3-Fettsäuren – gemeinsam gegen Entzündungen
Authors: Schmiedel Volker
Published: April 2021

Die Datenlage zu Vitamin D und Omega-3-Fettsäuren ist enorm. Während Vitamin D direkt im zellulären und humoralen Immunsystem wirkt, sind die Derivate aus Omega-3-Fettsäuren antiinflammatorisch. Beides führte dazu, dass stille Entzündungen erst gar nicht entstehen oder entstandene chronische Entzündungskrankheiten gelindert oder sogar geheilt werden können.
Update Breast Cancer 2020 Part 5 – Moving Therapies From Advanced to Early Breast Cancer Patients
Authors: Lux Michael P. , Schneeweiss Andreas , Hartkopf Andreas D. , Müller Volkmar , Janni Wolfgang , Belleville Erik , Stickeler Elmar , Thill Marc , Fasching Peter A. , Kolberg Hans-Christian , Untch Michael , Harbeck Nadia , Wöckel Achim , Thomssen Christoph , Schulmeyer Carla E. , Welslau Manfred , Overkamp Friedrich , Schütz Florian , Lüftner Diana , Ditsch Nina
Published: April 2021

In recent years, significant progress has been made in new therapeutic approaches to breast cancer, particularly in patients with HER2-positive and HER2-negative/hormone receptor-positive (HR+) breast cancer. In the case of HER2-positive tumours, these approaches have included, in particular, treatment with pertuzumab, T-DM1, neratinib and, soon, also tucatinib and trastuzumab deruxtecan (neither of which has yet been authorised in Europe). In patients with HER2−/HR+ breast cancer, CDK4/6 inhibitors and the PIK3CA inhibitor alpelisib are of particular importance. Further novel therapies, such as Akt kinase inhibitors and oral SERDs (selective estrogen receptor down regulators), are already being investigated in ongoing clinical trials. These therapeutic agents are not only being introduced into curative, (neo-)adjuvant therapeutic settings for HER2-positive tumours; a first favourable study on abemaciclib as an adjuvant therapy has now also been published. In patients with triple-negative breast cancer, after many years of negative study results with the Trop-2 antibody drug conjugate (ADC) sacituzumab govitecan, a randomised study has been published that may represent a significant therapeutic advance. This review describes the latest developments in breast cancer subsequent to the ESMO Congress 2020.
Einfühlsam aktivieren – Castillo Morales-Konzept
Authors: Kranz Florence
Published: April 2021

Bei der Beschäftigung mit diesem interdisziplinären Konzept spürt man schnell: Hier schwingt neben neurophysiologischem Know-how jede Menge „Spirit“ mit. Sicherlich auch ein Grund dafür, warum es Ergo-, Physiotherapeuten und Logopäden seit über 30 Jahren in die Castillo Morales-Fortbildungen zieht. Das Gespräch mit Christiane Türk und Silvia Söhlemann über das neu aufgelegte Lehrwerk lässt erahnen, was die Faszination an diesem Konzept ausmacht.
Edoxaban Dosing Time Affects Blood Coagulation Inhibition in Rats
Authors: Nagata Naoto , Kawasumi Muneo , Fujimura Akio , Ando Hitoshi
Published: April 2021

Coagulation–fibrinolytic system activity shows daily rhythmicity, with hypercoagulability in the morning and hypocoagulability in the evening. Consequently, the efficacy of anticoagulants may be influenced by their dosing time. Edoxaban, a selective inhibitor of the active form of coagulation factor X (FXa), is taken orally once daily, but the optimal dosing time is unknown. This study evaluated the dosing time-dependent effects of edoxaban on coagulation activity and thrombus formation in rats. Edoxaban (10 mg/kg) or vehicle was administered to Wistar rats at zeitgeber time (ZT)-2 (beginning of the light phase) or ZT14 (beginning of the dark phase), followed by blood collection at ZT4, ZT10, ZT16, or ZT22, to measure the activity of coagulation factors and edoxaban concentrations, or followed by inferior vena cava ligations at ZT4 or ZT16, to assess the efficacy of edoxaban against thrombus formation. Coagulation FX activity was high during the light phase, and a single dose of edoxaban administered at ZT2 inhibited FX activity and thrombus formation more potently compared with the same dose administered at ZT14. The inhibitory effects during the light phase could be attributed, at least in part, to the high blood concentration of edoxaban achieved by dosing at ZT2. Morning dosing of edoxaban leads to a high blood concentration of the drug during the morning hours and thus may better counteract the hypercoagulability and hypofibrinolytic activity characteristic of the morning hours. Optimizing the dosing time may contribute to improving the efficacy of edoxaban.
Exome Sequencing Reveals De Novo Variants in Congenital Scoliosis
Authors: Murakami Kohei , Kikugawa Shingo , Seki Shoji , Terai Hidetomi , Suzuki Takako , Nakano Masaki , Takahashi Jun , Nakamura Yukio
Published: April 2021

Congenital scoliosis (CS) is a lateral curvature of the spine characterized by the presence of vertebral anomalies. Pathogenic genetic variants in the TBX6 gene are one of the causes of CS. However, since many clinically diagnosed cases of CS are without known TBX6 gene variations, this study aims to uncover new genes related to disease susceptibility of CS by exome sequencing (ES). This study employed ES in a cohort of 5 Japanese patients with CS and their healthy parents or a sister for a total of 16 samples among 5 families. Variant interpretation was performed using SIFT, PolyPhen-2, Mutation Taster, and CADD. Four de novo variants were identified by ES and confirmed by Sanger sequencing: 1 frameshift variant (SHISA3) and 3 missense variants (AGBL5, HDAC4, and PDE2A). ES also uncovered 1 homozygous variant in the MOCOS gene. All of these variants were predicted to be deleterious by SIFT, PolyPhen-2, Mutation Taster, and/or CADD. The number of de novo variants identified in this study was exactly what would be expected by chance. Additional functional studies or gathering matched patients using Gene Matcher are needed.
Transient Neonatal Diabetes Mellitus and Seizure with an Unknown Etiology
Authors: Gunes Sevinc Odabasi , Calisici Erhan , Arslan Mutluay , Akin Onur , Karagol Belma Saygili
Published: April 2021

Neonatal diabetes mellitus (NDM) is a monogenic form of diabetes, usually occurring in the first 6 months of life. Here, we present a newborn, which was admitted with epileptic seizure on the postnatal second day of life. Sepsis and meningitis were ruled out. Cranial imaging and electroencephalography revealed normal. She developed transient NDM on the follow-up and was diagnosed to carry an ABCC8 mutation. Although the neurological features are more common in patients with KCJN11 mutations, patients with ABCC8 mutations could also represent with subtle neurodevelopmental changes or even with epileptic seizures. The genetic testing and appropriate therapy is important in this patient group for predicting clinical course and possible additional features.
Syntaxin Binding Protein 1 Related Epilepsies
Authors: Fontana Alessandra , Consentino Maria Chiara , Motta Milena , Costanza Giuseppe , Lo Bianco Manuela , Marino Simona , Falsaperla Raffaele , Praticò Andrea D.
Published: April 2021

Syntaxin binding protein 1 (STXBP1), commonly known as MUNC18–1, is a member of SEC1 family membrane trafficking proteins; their function consists in controlling the soluble N-ethylmaleimide-sensitive factor attachment protein receptors complex assembly, making them essentials regulators of vesicle fusion. The precise function and molecular mechanism through which Munc18–1 contributes to neurotransmitter releasing is not entirely understood, but several evidences suggest its probable role in exocytosis. In 2008, heterozygous de novo mutations in neuronal protein Munc18–1 were first referred as a cause of Ohtahara syndrome development. Currently, a wide examination of the published data proved that 3.1% of patients with severe epilepsy carry a pathogenic de novo mutation including STXBP1 and approximately 10.2% of early onset epileptic encephalopathy is due to an aberrant STXBP1 form codified by the mutated gene. STXBP1 mutations can be associated to a wide clinical heterogeneity. All affected individuals show developmental delay and approximately the 95% of cases have seizures and early onset epileptic encephalopathy, characterized by infantile spasms as the main consistent feature. Burst suppression pattern and hypsarrhythmia are the most frequent EEG anomalies. Other neuronal disorders include Rett syndrome and behavioral and movement disorders. Mild dysmorphic features have been detected in a small number of cases. No genotype–phenotype correlation has been reported. Management of STXBP1 encephalopathy requires a multidisciplinary approach, including epilepsy control and neurological rehabilitation. About 25% of patients are refractory to standard therapy. A single or combined antiepileptic drugs may be required. Several studies described vigabatrin, valproic acid, levetiracetam, topiramate, clobazam, and oxcarbazepine as effective in seizure control. Lamotrigine, zonisamide, and phenobarbital are also commonly used. To date, it remains unclear which therapy is the most effective. Severe morbidity and high mortality are inevitable consequences in some of these patients.
Rare Clinical Presentation in a Case of Pediatric Guillain-Barré Syndrome and Rehabilitation Outcome
Authors: Sharma G. Sonachand , Gupta Anupam , K. Raghavendra , Navin B.P. , Khanna Meeka , Asranna Ajay , Patil Ramesh
Published: April 2021

Nearly half of patients with Guillain-Barré syndrome (GBS) have cranial nerve involvement. Ocular muscle weakness or ophthalmoplegia occurs in ~10% of these patients. Patients presenting with bilateral ptosis, with or without ophthalmoplegia, is a rare finding. Anti-GQ1b antibody has been found in Miller Fisher syndrome and GBS with ophthalmoplegia variants. We report a case of GBS in a young boy presenting with rare presentation of tetraplegia, bilateral ptosis, and facial palsy, no ataxia but ophthalmoplegia with seronegative anti-GQ1b antibody. Patient showed recovery in cranial nerves involvement as well as with motor and functional recovery after 3 weeks of inpatient rehabilitation (Barthel Index score improved to 60/100 at the time of discharge from 20/100 at the time of admission). He was independent for most of the activity of daily livings including ambulation at the time of discharge from rehabilitation unit (p < 0.001).
Estimating instantaneous surface momentum fluxes in boundary layers using a deep neural network
Authors: Ito Junshi , Mouri Hideaki
Published: April 2021

Within turbulent boundary layers, the relationship between instantaneous surface momentum fluxes and streamwise velocities is more complicated than that between their ensemble averages described by the law of the wall. Although these fluxes need to be considered in large eddy simulations, the conventional approaches are not feasible. As an alternative, we have developed a deep neural network with the long short-term memory algorithmthat estimates instantaneous fluxes from a sequence of streamwise velocities. The velocities measured in a wind tunnel were used for training and validation. The trained deep neural network successfully estimates the instantaneous surface momentum flux with a suitable running average.
Characteristics of half-space electromagnetic scattering with multiple radiators
Authors: Gao Jie , Xie Yongjun , Yu Han , Di Hanyi , Wu Peiyu
Published: April 2021

This study investigates the characteristics of electromagnetic scattering in complex electromagnetic environments by using half-space theory with multiple radiators. We identify differences in the characteristics of the target scatterings between single and multiple radiators of a radar in the half-space through a comparison between the half-space and free space and single and multiple radiators. Numerical examples featuring a prismatic model of the perfect electronic conductor and the cruise missile model are used to show that the distribution of surface current density is affected by both the half-space and multiple radiators. The variation in surface current density changes the characteristics of scattering, and such a condition is reflected in the patterns of radiation. To further examine the influence of this phenomenon on multiple radiators, factors such as the amplitude of the electric field, phase difference, and mode of polarization were considered. The results show that the characteristics of scattering are significantly influenced by a number of factors.
Learning of classification tasks with an array of uniform-mode spin Hall nano-oscillators
Authors: Singh Utkarsh , Garg Neha , Kumar Saurabh , Muduli Pranaba Kishor , Bhowmik Debanjan
Published: April 2021

Recently, a system of spintronic vortex oscillators has been experimentally trained to classify vowel sounds. In this paper, we have carried out a combination of device-level and system-level simulations to train a system of spin Hall nano oscillators (SHNOs) of smaller size (25X lower in area compared to those vortex oscillators) for such data classification tasks. Magnetic moments precess in an uniform mode as opposed to the vortex mode in our oscillators. We have trained our system to classify inputs in various popular machine learning data sets like Fisher’s Iris data set of flowers, Wisconsin Breast Cancer (WBC) data set, and MNIST data set of handwritten digits. We have employed a new technique for input dimensionality reduction here so that the clustering/target synchronization pattern changes based on the nature of the data in the different data sets. Our demonstration of learning in a system of such small SHNOs for a wide range of data sets is promising for scaling up the oscillator-based neuromorphic system for complex data classification tasks.
Hippocampal astrocytic neogenin regulating glutamate uptake, a critical pathway for preventing epileptic response
Authors: Sun Dong , Tan Zhi-Bing , Sun Xiang-Dong , Liu Zhi-Peng , Chen Wen-Bing , Milibari Leena , Ren Xiao , Yao Ling-Ling , Lee Daehoon , Shen Chen , Pan Jin-Xiu , Huang Zhi-Hui , Mei Lin , Xiong Wen-Cheng
Published: April 2021

Significance

Epilepsy, a neurological disorder, is caused by abnormal brain activity due to genetic variances or acquired brain injuries. However, the underlying molecular mechanisms remain elusive. We demonstrate that NEO1, a member of the deleted in colorectal cancer (DCC) family transmembrane proteins, is decreased in human hippocampi of patients with epilepsy. By using a combination of genetic, electrophysiological, biochemical, and molecular biological methods, we show that KO
Neo1
in hippocampal astrocytes, but not in neurons, increased epileptiform spikes and seizure susceptibility in mice. Astrocyte-specific KO of
Neo1
reduced inhibitory synaptic vesicles and GABAergic synaptic transmission in the hippocampus by impairing the GLAST-mediated glutamate–glutamine cycle. Together, this study reveals a function of NEO1 in hippocampal astrocytes to protect the brain from epilepsy.
Self-consistent tomography of temporally correlated errors
Authors: Huo Mingxia , Li Ying
Published: April 2021

The error model of a quantum computer is essential for optimizing quantum algorithms to minimize the impact of errors using quantum error correction or error mitigation. Noise with temporal correlations, e.g. low-frequency noise and context-dependent noise, is common in quantum computation devices and sometimes even significant. However, conventional tomography methods have not been developed for obtaining an error model describing temporal correlations. In this paper, we propose self-consistent tomography protocols to obtain a model of temporally correlated errors, and we demonstrate that our protocols are efficient for low-frequency noise and context-dependent noise.
Covid19 Drug Efficacy Statistical Analysis
Authors: Zhang Xuerong , Zhu Qinyu , Qiang Jiaying , Shen Jiaming
Published: April 2021

Recently, a new SARS-CoV-2 coronavirus named COVID 19 sparked panic worldwide. More than 1000 ongoing therapeutics were dealing with it. However, the efficacy of these treatments was still fuzzy. In this paper, we analyzed 4 main types of treatments individually and mutually based on clinical trials data. T-test, models like COX and GEE logistic regression are adopted to evaluate the efficacy.
Predictive Analysis of Class Attention Based on CNN Model
Authors: Liu Xiang , Li Guoyi , Xu Luo , Wu Yuning
Published: April 2021

As the current classroom teaching reform has been integrated into every class of higher vocational colleges, modern artificial intelligence, deep learning, big data and other high-end technologies are integrated into the classroom, and classroom teaching has become more and more diverse. But the attention of modern vocational and technical students to the classroom has also received widespread attention from the society. This article uses artificial intelligence and big data technology to analyze class attention, and then uses the CNN model to predict the overall class attention. This article discusses the core literacy strategies for cultivating the efficiency of vocational and technical students in the classroom, and proposes methods such as setting suspense to guide independent inquiry, organizing learning to discover learning rules, and in-depth exploration of students’ independent learning ability, so as to increase the attention of the classroom. Based on the current popular CNN target detection algorithms can be divided into two categories. The first category is a two-stage detection algorithm, which divides the detection problem into two stages. First, generate candidate regions, and then classify the candidate regions. The typical representative of these algorithms is the R-CNN series algorithm based on region proposal. The other type is the 1-stage detection algorithm, which makes predictions for every part of the image, that is, it does not need to generate candidate regions. On this basis, a target prediction system based on the CNN model is designed and implemented, which predicts and analyzes the class attention of higher vocational colleges, uses a deep learning framework, and uses PyQt5 as an interface development framework combined with python. Experimental research results show that the designed CNN-based classroom attention model in higher vocational colleges can effectively predict and analyze students, and the effect of the practical experiment is good.
Evaluation System of College Physical Education Practice Teaching Based on Big Data
Authors: Zhang Yinan
Published: April 2021

With the development of the era of big data as the background, the physical education methods of universities have greatly improved. For other educational software like MOOC, some universities use the Internet to innovate the educational methods of sports theory courses, innovating educational software to improve the educational level of physical education theory course in Colleges and Universities Effectively enable students in the era of big data. After years of reform and practice, college physical education has achieved certain results, but in recent years, the physical health of college students has shown a downward trend. The physical health of college students depends on the students’ awareness of physical fitness, the process of participating in physical exercise, and the lifestyle habits they develop. The cultivation of these factors is closely related to college physical education activities, and is also the task of college physical education activities. And goals. Students’ behaviors in all aspects of life can be recorded in the form of big data. This article explores how to use big data to better reform physical education. Improve the scientificity and rationality of physical education. Use detailed data to objectively reflect the existing problems of college physical education, and explore the direction and path of college physical education reform.
Teaching Mode of Chinese and Western Art History Course Based on Big Data
Authors: Qi Bin
Published: April 2021

At present, with the rapid development of network technology and social economy, the reform of teaching concept is deepening. The traditional teaching mode can no longer meet people’s growing learning needs. The application of network technology in teaching is more and more common. The corresponding network teaching platform is also in continuous development, at the same time, its hybrid teaching mode combined with traditional teaching is also constantly deepening into the classroom of colleges and universities. Based on the subject of “Chinese and Western art history” course in a school, this paper first summarizes the teaching characteristics and defects of Chinese and Western art history course, and describes the application method of big data technology in it. Through practical statistics, students’ views on the new mode of education are counted. Through data analysis, the help of new education mode on students’ learning results is obtained Compared with the traditional education mode, the new education mode can enhance students’ interest in learning and improve their academic performance.
Practice Teaching Method of Electronic Commerce Major Based on Data Mining Algorithm
Authors: Deng Jianghua , Qing Haohua
Published: April 2021

With the rapid development of network, communication, and information technology, e-commerce has received widespread attention as a new business model. E-commerce has become a popular term, and e-commerce has become a popular mainstream in universities. However, as a comprehensive and free subject of art and science penetration, e-commerce puts forward more comprehensive requirements for teaching content, process and methods. Based on the above background, the purpose of this article is to study the professional practice teaching methods of e-commerce based on data mining algorithms. This article first analyzes the privacy issues caused by decentralized data mining under the condition of rapid development of e-commerce. How to build a more accurate model to complete data mining tasks without revealing personal privacy, mainly discussing data mining privacy protection algorithms. Next, through literary research method, questionnaire survey method, case research method, and interview method, explore the practical teaching method of e-commerce professional based on data mining algorithm. The role is to study the problems and solutions that blended learning needs to solve in specific applications. The experimental results show that, compared with the previous guidance method, the new teaching method can improve students’ initiative, enthusiasm and creativity by about 10% in the learning process.
Design of Electric Power Data Acquisition System Based on Internet of Things
Authors: Du Haodong , Huang Fu , Liu Libin
Published: April 2021

In today’s era of rapid economic development, China’s Internet is also developing rapidly, and intelligence is becoming more and more common in people’s daily life, which also promotes the intelligence of my country’s electricity data collection. This paper designs a power data acquisition system based on the power Internet of Things. Through the analysis of the power Internet of Things and its relationship with the smart grid, a data acquisition system is constructed with three parts: smart meters, concentrators and data management systems. And use GPRS and VPN to analyze, explain how to analyze the collected data.
RETRACTED: Judgment and Coping Strategies of IAPE Based on Big Data Analysis
Authors: Zeng Fanglian , Gao Qiuli
Published: April 2021

With the rapid development of Internet technology, we ushered in a new era of data. The advantages of Internet technology have made it widely and deeply applied in all fields of society. IAPE (IAPE) is a key issue in today’s education field, and it is urgent to solve the current IAPE problem in schools. This article combines the advantages of current Internet technology and data technology, and takes two universities as examples to explore the differences between IAPE and traditional IAPE in the era of big data, and analyze the advantages of the former. The experiment shows that the former can improve the quality of IAPE’s teaching work, and when compared with the two teaching modes, 31% of the participants in the experimental group are satisfied, and 36% of them are very satisfied, while only 25% of the control group were satisfied. Therefore, in addition to expounding the problems of IAPE in the era of big data, this article also conducts some research and discussion on the methods and strategies to deal with this problem on this basis.
Trend Analysis of Journal of Finance Based on Web of Science Database
Authors: Liang Shidi
Published: April 2021

Web of Science is a website which provides subscription-based access to multiple databases that provide comprehensive citation data for many different academic disciplines. Based on the Web of Science database, this paper used Citespace and Bibliometric to analyze the research articles published by Journal of Finance in recent ten years. Through the co-occurrence analysis, keyword analysis and trend analysis of the papers published by Journal of Finance, we can be more familiar with the use function of such measurement tools, which can help us explore the research status, research hotspots and future research directions in different fields to understand the research changes and improve the system construction..
RETRACTED: Discussion on the Innovation Based Goal in Entrepreneurship and Path Optimization of Contemporary College Students in Big Data Era
Authors: Yang Xiran , Ji Xiaofei
Published: April 2021

In the context of building an innovative country, the cultivation of university students in innovation and entrepreneurship has become a significant educational content in colleges and universities. Through the analysis of the status quo of students in universities in innovation and entrepreneurship, some countermeasures are proposed in this paper for solution to the issues of college students in innovation and entrepreneurship. According to the demands of college students and development in the society, cultivation of students in colleges and universities in innovation and entrepreneurship can not only help them grow into talents in practice and innovation, but also provide certain reference significance for training talents with innovative thinking to start up businesses in current colleges and universities.
University Ideological and Political Education Management Based on K-means Mean Value Algorithm
Authors: Ma Jiafeng
Published: April 2021

With the continuous advancement of my country’s informatization construction process, many universities have established various business-based databases for daily management. As a widely used emerging discipline, the application prospects of analyze and extract data technology in university education informatization Well, it provides a brand-new and scientific analysis method for the absurdity of the management, construction, and service process of universities. Based on this, this article mainly studies the application of clustering technology in analyze and extract data in the management of ideological and political education (PE) in universities. This paper uses analyze and extract data technology to try and propose a university ideological PE management research based on the k-means cluster analysis method, using analyze and extract data on the basic functions of the traditional system to make secondary use of ideological and PE data. Optimize the iterative process of the algorithm of k-means, preprocess various data, use the algorithm of k-means in the division method, realize the cluster analysis of the data, and extract the valuable parts of the large amount of precipitated ideological and PE data. Establishing a data model and providing decision-making guidance to managers, scientifically managing the process of ideological and PE, can effectively improve the overall efficiency of ideological and PE.
Image Processing in Long-distance Race Based on Humanoid Robot
Authors: Gao Peng , Tian Jia , Fang Jian
Published: April 2021

This article mainly focuses on the path planning problems encountered by robots in long-distance races. In view of the uncertainty of the route of the long-distance running field, the image is processed in black and white according to the actual situation, the camera is reselected, and the program is rewritten. After the above steps, the problem of route recognition by the long-distance running robot is finally solved. And finally achieved good results.
The dynamic effect of air temperature and air humidity toward soil temperature in various lands cover at KHDTK Gunung Bromo, Karanganyar - Indonesia
Authors: Ariyanto D P , Qudsi Z A , Sumani  , Dewi W S , Rahayu  , Komariah
Published: April 2021

Human activities cause a rise in temperature that causes global warming. Land covers that were originally stand plants into open land will affect the climate of the land. This study aims to determine the dynamics of air temperature & air humidity on soil temperature in various land cover at KHDTK (Kawasan Hutan dengan Tujuan Khusus or Special Forest Area) Gunung Bromo Karanganyar. There are 6 types of land cover used in this study, namely: pine, pine-mahogany, mahogany, mixed, open land, and annual crops. Air & soil temperature were measured using Ellitech RC-5 USB Temperature Data Logger & Digital Thermometer. The results showed that the dynamics of air temperature and humidity were highest in annual crop cover, while the lowest was in mahogany cover. The highest dynamics of soil temperature are found in annual crops and open land, whereas the other cover has similar dynamics. The dynamics of air temperature and humidity are slightly different from soil temperatures. The interaction between air temperature and soil temperature can result in changes in weather and climate, especially in open land.
Improvement of phosphatic fertilization method in soybeans (Glycine max L.) cultivation
Authors: Cahyono O , Minardi S
Published: April 2021

The efficiency of phosphatic (P) fertilization in seasonal crops is commonly low, and most of the residual fertilizer remains in the soil. Increasing the efficiency of phosphate fertilizer is urgent to reduce its contribution to the warming climate, hence promoting climate change. Increasing the efficiency may be done by applying fast soluble phosphate (FSP) fertilizer which is applied in split application method. The research aimed to assess the growth response of soybean to the application of fast soluble P fertilizer and obtain a more efficient P fertilization method for soybean in potentially P-binding soils, Alfisol. This research was conducted using potted Alfisols of Jumapolo Karanganyar treated with several doses of slow and fast soluble P fertilizers which were arranged in a factorial design. This research concluded that FSP fertilizer in Alfisol has increased growth and P uptake of soybean. The treatment of FSP fertilizer at the dose of 100 kg ha-1 produced soybean biomass significantly higher than the application of slow-released Superphosphate (SP36) fertilizer at 150 kg ha-1. The application of FSP also increased the uptake efficiency of P fertilizer and agronomic efficiency compared to the use of SP36 fertilizer.
Isolation and identification of profenofos pesticide degrading bacterium from soil sample of Bedugul, Indonesia
Authors: Putra I W W P , Setiyo Y , Gunam I B W , Anggreni A A M D
Published: April 2021

Climate change might change pest populations and in certain circumstances can increase the use of pesticides and the residue on the soil also increases. To reduce the negative impact of the residue, pesticide degrading bacteria are needed. This study aimed to isolate and identify profenofos-degrading bacterial strains from the soil that has been contaminated by profenofos pesticides for many years. The bacterial strain was isolated from a long term profenofos exposed soil by an enrichment technique, and its ability to degrade profenofos was determined using gas chromatography. The results were obtained 8 isolates from 9 sampling points. Isolates have different abilities to degrade profenofos especially isolated BS-06 had the highest degradation rate of profenofos was identified as Pseudomonas luteola according to its physiological and biochemical properties (API 20E system). The isolate has a rod shape, motile, Gram-negative, and has an optimum pH in degrading profenofos at 7. The degradation of profenofos was examined using a medium treated with 100 mg/L profenofos, which resulted in a higher degradation rate than the control without inoculation. In a mineral salt medium (MSPY), removal in the level of profenofos of 92.72% was obtained within 54 h of incubation.
Minimizing the impact of climate change through the determination of land and plant technology needs based on the agroecological zone on food crops in Boyolali District of Central Java, Indonesia
Authors: Nurlaily R , Samijan
Published: April 2021

The agroecological zone (AEZ) is a land potential information system for land use planning and commodity development. AEZ contains information on landforms, elevation, topography, soil characteristics, temperature, etc. which is useful for determining the suitability of land and commodities. This study aims to determine the technology requirement based on the limiting factors found in each land unit. The methods of determination of land suitability and technology requirement were carried out using the FAO standard land evaluation program, by matching land characteristics with plant growth needs. Through the application of recommendation technology that suitable for land capability, the cultivation system becomes more adaptive to the environment, so that the possible negative impact of climate change can be minimized. The limiting factors found as constraints to the development of food crops in the Boyolali District include (a) temperature conditions, (b) rooting conditions, (c) nutrient retentions, (d) erosion hazard, (e) land preparation, and (f) flooding hazard. Based on existing limiting factors, land management should be focused on (a) using adaptive varieties to local temperatures; (b) providing organic fertilizer to improve soil drainage, organic C and CEC soil; (c) lime and soil ameliorant application to increase base saturation, deep and reverse soil treatment to increase CEC; (d) conservation-oriented planting system and (e) eradication of rocks with minimum tillage.
The “jamban systems” as coping to both of land use and climate change impacts in rural area
Authors: Kristiyanto
Published: April 2021

The role and its contributed to “the jamban” as a system to water harvesting methods which considered was able to cope with climate and land-use change impact conventionally, chiefly to drought phenomena, and it would have become of one strategy to water supply type development in urban or rural areas. The aim of this research to explore and analysis of the role and its contribution to “the jamban” functions in their daily, so the direct observation and in-depth individual interview methods which is used to data collected, who at least 10 – 15 respondents as participatory of this research and it’s also to focus group discussion (FGD) with some of the personages in these activities, so the result of this research, shown that “the jamban” as a system, which is part of adaptation type development to climate and land-use change impacts, chiefly to the response of drought or water scarcity dynamically, alongside it used to local economic developed to meet a demand of family or community-scale in their daily, and indirectly it would be a sustainable paradigm at a local knowledge perspective in water conservation development at a local scale.
Effects of climate change on the vulnerability of cocoa production in Medewi, Bali Indonesia
Authors: Sarjana P , Kasa I W , Gunam I B W , Takama T , Pratiwi L , Putra I W W P
Published: April 2021

A survey of the effects of climate change on the vulnerability of cocoa production has been conducted in Medewi Village, Jembrana Regency, Bali Island. Unfortunately, the international standard requirements have not been met. The survey started during the La-Nina phenomenon from April to October 2015 in wet conditions. This study aims to determine the impact of climate change on cocoa production and farmers’ perspectives on the level of vulnerability and their responses. The research methodology used a simple randomized sample survey in which 20 percent of a sample of cocoa farmers were interviewed. The results showed a decrease in cocoa production during the La-Nina period, respectively 10 - 90%, 10 -70% in Baler Setra, Delod Bale Agung, and Pangkung Selepe hamlets. Another problem is that 52% of trees died and the remaining 48% were dormant. Efforts to minimize dead trees were carried out by cutting down vegetative branches, irrigating, and watering, namely 75% of each farmer in 3 areas Baler Setra, Delod Bale Agung 11%, and Pangkung Selepa Hamlet 9%. Overall, it can be concluded that La-Nina affects the growth and the development of cocoa plantation vegetatively rather than generatively. Therefore, cocoa produces more leaves and branches rather than fruit or seeds.
The potency of mulch and paclobutrazol treatments to increase potato (Solanum tuberosum L.) tuber production in a high-temperature area
Authors: Pertiwi M D , Sulistyaningsih E , Murti R H , Purwanto B H
Published: April 2021

Climate change, in this case, global warming causing a direct effect on the future production of potatoes in Indonesia by reducing the suitable area in high altitude land. The optimum temperature for potato crop growth is 10-25°C. Temperature above 30°C causing the delay of tuber initiation, increase shoot growth and decrease potato tuber production. The research aims to enhance potato tuber production under the above-optimum temperature was conducted in July – September 2017. The experiment took place in the field at 600m asl. The experiment design used was factorial with a split-split plot design. The three factors tests were with and without paclobutrazol application (67.5 ml/plant), straw mulch (SM) and plastic mulch (PM), and cultivars. The cultivars tested were fresh-potato cultivars (Olympus) and processed-potato cultivars (Andina and Amabile). The result showed that the temperature range during the experiment was 18 - 35°C. Soil temperature under SM showed 1.17°C lower than that under PM. No significant effect of a paclobutrazol application for growth and tuber production. In average, Olympus produced 712 g fresh tuber that was significantly higher than Andina and Amabile, which were 516 g and 461 g respectively. The percentage of small size tuber per plant (< 80 gram) of all cultivar was more than 60%, which showed that the assimilates translocation to tuber still not maximal. This experiment suggested increasing paclobutrazol dosage to enhance the assimilate translocation from the source to the tuber sink and increase the fresh tuber weight per plant.
The legal risk to sustainable role of State-Owned Enterprises management in Indonesia
Authors: Isharyanto  , Husodo J A , Madalina M
Published: April 2021

This article explained the legal risk as a part of good governance due to risk mitigation agency will be reviewed and then described descriptively with the role of State-Owned Enterprises related to climate change issues. State-Owned Enterprises should have a unit to hire risk management included the legal risk. The standard risk significant to guarantee the sustainable role of State-Owned Enterprises as a legal entity that gets the capital from the State and will require climate change issues. By doctrinal legal research, this article described the main problems for the implementation due to the category of risk State-Owned Enterprises. This article concluded: (i) State-Owned Enterprises already has mitigation that can respond to internal risks but are not sufficient to adapt to the issue of climate change; and (ii) the role of State-Owned Enterprises in responding to climate change needs support from the government.
Understanding and adaptation to climate change of fishermen in the northern coastal of Central Java, Indonesia
Authors: Mulyasari G , Irham  , Waluyati L R , Suryantini A
Published: April 2021

The negative effects of climate change forcing coastal communities to adapt. Fishermen’s understanding of climate change is very important because it shapes the fishermen’s readiness to adapt. This research explores fishermen’s understanding of climate change, fishermen’s adaptation in response to the perceived impacts of climate change, and the relationship between fishermen’s understanding and climate change adaptation. A survey by interviewing randomly selected 120 fishermen was conducted on the northern coastal of Central Java from March to June 2018. The results showed that fishermen had a good understanding of climate change. Most fishermen prefer to looking for detailed information about climate change, change fishing ground, and fishing time adjustment. There is a positive correlation between fishermen’s understanding of the sea-level rise and adaptation to climate change. This is because the northern coastal of Central Java is prone to tidal disasters due to rising sea levels.
Eco-office campaign as a way to achieve the sustainable development goals in Directorate General of Taxes
Authors: Risdiana N , Utari P , Satyawan I A
Published: April 2021

Excessive use of paper and plastic is one of the factors that causing climate change. Directorate General of Taxes starts to implement eco-office concept as one of the responsibilities of good governance in supporting climate change campaign. It is an effort to improve environmental quality and work environment comfort through daily behaviour change of DGT employees. DGT is expected to hold public service by taking resources efficiently, such as reducing the use of tax report paper forms and disposable drinking bottles. This literature review research aims to arrange the strategy of campaign message needed to get obedience followed by behaviour change of the DGT employees in implementing the eco-office concept in daily life. This paper is a compilation of several data and previous research concerning climate change campaigns that would be collected systematically and then deeply analyse to obtain research findings. The result showed that the message content and media are the main things in campaign strategy arrangement. To obtain obedience, the content of the message has to include reward, punishment, expertise, and impersonal and personal commitment. Mass media can be used as a medium to convey the message of an eco-office campaign that can change the audiences’ behaviour.