bluuebunny/crossref_metadata_2025_split huggingface dataset:
New Result on

K+→π+νν¯

from the NA62 Experiment
Authors: Ruggiero G 
Published: June 2020

Abstract
The NA62 experiment at the CERN SPS is designed to measure the branching ratio of the

K
+

→

π
+

ν

ν
¯

with a decay-in-flight technique and took data in 2016–2018. The statistics collected in 2017 allows NA62 to achieve the best up–to–date single event sensitivity for

K
+

→

π
+

ν

ν
¯

corresponding to more than 2 Standard Model

K
+

→

π
+

ν

ν
¯

expected events. The analysis of the 2017 data has revealed 2 candidate

K
+

→

π
+

ν

ν
¯

events, while 1.5 background were expected. Together with the candidate found on the 2016 data, this result leads to 1.85 × 10−10 as preliminary upper limit at 90% C.L. on the branching ratio of the

K
+

→

π
+

ν

ν
¯

decay. The 2017 data also allow NA62 to achieve the best up–to–date sensitivity on the search for the π
0 → invisible decay.
Testing the HyperCP anomaly at LHCb: evidence for the Σ+ → pµ
+
µ
− decay
Authors: Dettori F 
Published: June 2020

Abstract
A search for Σ+ → pµ
+
µ
− decays with LHCb Run 1 data is presented, yielding an evidence for this decay and a measurement of a branching fraction compatible with the Standard Model. The HyperCP anomaly in the dimuon invariant mass distribution is not confirmed, and its branching fraction central value is excluded at 95% CL. Prospects for the future of this measurement in LHCb are also presented.
Study of the kaon electromagnetic form factors in e
+
e
− annihilation and τ decays
Authors: Serednyakov S I , Beloborodov K I , Druzhinin V P 
Published: June 2020

Abstract
The recent precise measurements of the e
+
e
− → K
+
K
− and e
+
e
− → KS

KL
cross sections and the hadronic spectral function of the τ
− → K
−
K
S
ν

τ
decay are used to extract the isoscalar and isovector electromagnetic kaon form factors and their relative phase in a model independent way. The experimental results are compared with a fit based on the vector-meson-dominance model.
Anomalous absorption in 202-111 transition of methanimine
Authors: Kumar N , Chandra S , Kant N , Sharma M K , Sharma M 
Published: June 2020

Abstract
The methanimine molecule is of great interest for astronomers and astrophysicists. It is considered as a prebiotic molecule as it is a potential precursor of Glycine, the simplest amino acid. The reaction of CH2NH with HCN in interstellar medium makes aminoacetonitrile (NH2CH2CN) which further reacts with H2O to make glycine (NH2CH2COOH). The amino-acids like Glycine are building blocks of proteins that are essential for life to occur. Earlier, we have calculated the radiative lifetimes and Einstein A-coefficients for transitions between 69 lowest rotational energy levels of methanimine. In the present study, we have obtained the anomalous absorption in 202 – 111 transition of methanimine at 33.705893 GHz. We have solved the statistical equilibrium equations coupled with the equations of radiative transfer. The brightness temperature is found to be minimum around the hydrogen molecular density of 104.5 cm−3 and it rises on both sides of this density.
Range and maximum etchable track length for 93Nb ion in CR-39 detector
Authors: Gewali Jeeban. Pd. , Saxena Atul. 
Published: June 2020

Abstract
In recent years, solid state nuclear track detectors (SSNTD) have been used increasingly in variety of field ranging from archeology and geophysics to fission physics and space research. In nuclear physics their advantages lie in their small and flexible geometry, in their ability to withstand high temperature and in their being able to discriminate against high background of less ionizing radiation. When ionizing radiation falls on a SSNTDs detector it produces minute trails of damage (perhaps 10-100 A° in diameter) in a material whether by the thermal spike effect of more by ion explosion effect. We in this work irradiate CR-39 SSNTD detector sample by ion beam of 93Nb with varied energy in the range 20 MeV to 1600 MeV. The damage trials produced were enlarged thousand times by subjecting the material to a suitable etching process (6N NaOH at 60°C Temperature). Then using continuous process of etching the maximum etchable track length was measured. Using well established SSNTD techniques the range and energy loss of the ion in polymer was calculated. The experimental result was then compared with theoretical data of SRIM and DEDXT programme. The theoretical data are in close agreement with our data.
A Mathematical Model For The Study Of Diabetes Mellitus
Authors: Yadav R , Maya  
Published: June 2020

Abstract
This paper focuses on a latest approach to study the diabetes mellitus. A new mathematical model of all glucose-insulin interactions is proposed by the incorporation of time delay. Then the mathematical model is formulated, and after that the analysis of the model is discussed. In order to confirm the theoretical results, we carried out the numerical simulations. Computer simulations are used to evaluate the effectiveness of the proposed work. Also, the behaviour of proposed mathematical model for different values of time delay will be shown.
Solution of inverse fractional Fisher’s equation by differential quadrature method
Authors: Arora G. , Pratiksha  
Published: June 2020

Abstract
This work is an attempt to solve the inverse problem on fractional Fisher’s equation. A method comprising of Lubich’s approach to discretize the time fractional derivative and differential quadrature method with modified B-spline basis function to approximate the space derivatives is proposed to find the numerical solution of the equation. A stable numerical solution is obtained for this problem and then a comparison is made with the existing results. The obtained results are presented in form of tables and figures. The proposed method can be applied to similar fractional equations.
Study of Heterocyclic Ring Systems: Biopharmaceutical Applications of Substituted 4H-1,4-Benzothiazine and Piperazine
Authors: Saroha Sumit , Chhavi  , Sharma Praveen Kumar 
Published: June 2020

Abstract
In present work study of biologically important heterocycles such as 4H-1,4-benzothzine and substituted piperazine was carried out. Reaction mixture of substituted 4H-1,4-Benzothiazine and piperazine was examined for their importance as biopharmaceutical material such as antimicrobial and antioxidant agents. Current research article based on fundamental concept of green chemistry best out of waste.
Synthesis, characterization and biological evaluation studies of Cu(II) and Zn(II) complexes with gly-o-andn or gly-p-andn as primary ligand and N, N' donors as secondary ligand
Authors: Aggarwal Nidhi , Kant Rishi , Kumar Dr. Gaurav , James Charisma , Maji Dr. Suman 
Published: June 2020

AbstractMetal complexes with heterocyclic Schiff bases are of substantial curiosity for the chemists. Ligand modifications are easily accessible due to preparative simplicity, structural variability and tunable electronic properties. Hetero atoms like N and O when incorporated in Schiff bases play a key role at binding sites in metallobiomolecules Transition metals form an integral part of biological system and their mixed ligand complexes with Schiff bases have established their remarkable application in biocidal fields as antibacterial, antifungal, antiinflammatory and as anticancerous agents. Keeping in mind their marked biological activity, this work reports the synthesis and characterization of mixed ligand complexes of zinc and copper with Schiff base (obtained by the condensation of glyoxal with ortho and para anisidine) as primary and N, N’ donor molecules as secondary ligands.
Physico-Chemical Study of Some Surface Water Bodies of Punjab
Authors: Shukla Bishnu Kant , Sharma Pushpendra Kumar , Khan Mohd Asif 
Published: June 2020

Abstract
In recent years, the surface water quality has been observed deteriorating due to industrial activities and pollution in the Punjab state. Evaluation of surface water quality is an important issue to assure from its safe and stable use. However, describing quality conditions is generally difficult considering spatial variability of pollutants and a wide range of indicators like biological, physical and chemical substances which can be measured. This paper includes the study of surface water quality parameters in the northern Punjab region. Samples from different sources across northern Punjab were analysed for pH, TDS, TSS, turbidity, DO, chloride content, iron content and hardness of surface water. The pH, TDS, TSS, turbidity, DO, chloride content, iron content and hardness were found in the range of 6.7-8.7, 1358.00-1430.60 mg/l, 135.10-141.21 mg/l, 0.001-0.62 NTU, 0.96-7.80 mg/l, 0.80-15.56 mg/l, 0.01-0.02 mg/l and 1.2-13.9 mg/l respectively. The obtained results were compared with the acceptance limits as given by Indian standard code IS: 10500-2012. The high values of water quality parameters obtained as a result of this study indicates the level of pollution of the different sources of surface water of northern Punjab. At the end the obtained results were critically examined and suggestions were made for better management of surface water resources.
Design and Implementation of Trusted Plug-in Based on Kylin Operating System Platform
Authors: Gao Yong , Yu Xuejun 
Published: June 2020

Abstract
Software behavior research on behavioral statements is mostly software behavior analysis for specific software, and the characterization of software behavior is only obtained by simple buried point monitoring or static analysis. In this regard, this paper proposes a model for credibility analysis of most software behaviors based on the detection sandbox environment and the actual operating environment. The research developed a trusted plug-in based on the Kylin operating system platform. It adopted the idea of “consistent words and deeds”, and used the actual behavior statement and the trusted behavior in the trusted behavior statement database for tested evaluation. In the aspect of software behavior tested measurement, a behavior statement judgment model based on cosine similarity algorithm is proposed to judge the reliability of software behavior. Experimental results: the trusted plug-in platform was able to perform credibility analysis on most software behaviors, and the introduced performance overhead was relatively low. It had a high ability to identify the credibility of software behaviors. It provides new ideas for studying the credibility of software behavior on the Kylin operating system platforms.
Design of Computer-based Music Distance Education Learning System
Authors: OuYang Yuanxin 
Published: June 2020

Abstract
With the rapid development of Internet technology, colleges and universities have designed a music distance teaching system with the help of computer. It is not only convenient for students to study actively, but also uses modern information technology and Internet technology to carry out teaching activities. Moreover, the network-based autonomous learning can provide more free space for students. Therefore, the design of music distance teaching system has very important practical significance. In this paper, the principle of system design and the structure and function of the system are analyzed comprehensively, and the practicability and feasibility of the system are proved by the practice of the system, so it is worth popularizing and applying.
Application of Processing Programming in Interactive Installation Art——Take “What else” as an example
Authors: Yifei Bie 
Published: June 2020

Abstract
With the advancement of science and technology and the enhancement of human aesthetic experience, the fusion of technology and art has driven interactive installation art, an artistic expression with strong modern technology and information age characteristics, and has achieved unprecedented development. Processing is an open source programming language and development platform suitable for graphic and animation design. Through the study of processing, we have a more intuitive understanding of the creation of interactive art. Taking “what else” as an example, this paper studies the application value of Processing programming in interactive installation art, and discusses the influence of using code tools to innovate and develop art, integrating science and technology into art creation, aiming at providing new expression ideas for future installation art.
The application of R language in the selection of characteristic bands for the prediction of protein content in milk powder by Near Infrared Spectroscopy
Authors: Guo Huixin , Yin Yaolan , Zheng Fang , Li Pingzhen 
Published: June 2020

Abstract
Milk powder is an important food, suitable for preservation and transportation. Protein is an important nutritional component in milk powder. At present, the routine physical and chemical analysis method is usually used in the detection of components of milk powder, which is time-consuming and labor-consuming. Therefore, it is very important to carry out the rapid non-destructive detection of milk powder quality. The application of near infrared spectroscopy (NIRS) technology in the rapid detection of milk powder quality is increasingly mature, but many analytical techniques are not perfect. In this study, the models of prediction protein in milk powder were established by R language with NIRS, and the characteristic bands were selected by recursive feature extraction (RFE) in R language, and the selected bands were screened one by one to determine their importance. Finally, using Partial least squares (PLS), generalize linear model (GLM), support vector machine (SVM), least angle regression (LARS), linear model (LM) and other methods to build the prediction models with 8 characteristic bands, the R-squared of the models can be increased by 0.1 to 0.7, the model robustness greatly improved.
Application of Weighted Classification of Non-equilibrium Decision Tree in Emotion Analysis of Poetry Reading
Authors: Feng-Kun Li , Yong Zhang 
Published: June 2020

Abstract
In this paper, a new unbalanced decision tree algorithm for appealing expressions of reading poem is proposed. This algorithm called Weighted Division of Unbalanced Decision Tree (WDOUDT). Compared to the traditional decision tree, it has fewer nodes and more interpretability, faster convergence and higher accuracy. WDOUDT is used to identify the moving expression when students read poem. The results show that WDOUDT performed better in accuracy than decision tree, and its time complexity is lower than that of the classical decision tree algorithm. Besides, it has good generalization ability and good robustness against noise data.
Extraction Method of Fetal Phonocardiogram Based on Lifting wavelet analysis
Authors: Huimin Wang , Xingyu Liang 
Published: June 2020

Abstract
Long-term monitoring of fetal health status is important for high-risk pregnancies. In order to extract the pure fetal phonocardiogram(fPCG) and increase the calculating accuracy of fetal heart rate (FHR), a combination of Empirical Mode Decomposition (EMD), Cepstrum, Lifting Wavelet (LWT) and Hilbert transform (HT) method was proposed. First, the heart sound signal was decomposed into finite intrinsic mode functions (IMF) by EMD, and then the signal de-noising was implemented by LWT. Second, the envelope of the signal was obtained by HHT. Finally, the fetal heart rate was obtained by cepstrum analysis. The simulation result shows that the fetal heart rate extracted by this integrated signal processing method is right, and it enhances the precision of fetal heart rate greatly. The wavelet de-noising technology can reduce the noise very well with small computation. It is concluded that this integrated signal method is capable of extracting feature from fPCG.
Research on Image Quality Evaluation Method of Depth Learning Model Based on Core Concept
Authors: Huang Wen , Wang Juan 
Published: June 2020

Abstract
In view of the fact that the existing image quality evaluation methods are generally artificial design features, it is difficult to automatically and effectively extract image features that conform to the human visual system. Inspired by human visual characteristics, a new full reference image quality evaluation method based on depth learning model based on core concepts is proposed. Firstly, depth learning algorithm is used to extract multi-layer features from reference images and distorted images respectively. Then, the local similarity of the feature map of the reference image and the distorted image in each layer is calculated as the local quality description of the corresponding depth. Finally, the local quality of all layers is synthesized to obtain the overall quality score of the image. On the basis of the pre-training model, the depth model network is fine-tuned by using the image visual evaluation data set to obtain a depth model for evaluation. The standard experiment shows that fine-tuning training of each pre-training model on the standard data set achieves good classification results. Experiments show that the designed depth learning model based on core concepts is superior to the existing full reference image quality evaluation methods, and its prediction results have good accuracy and consistency with subjective quality evaluation.
HBase Connection Dynamic Keeping Method Based on Reactor Pattern
Authors: Lai Xinming , Wang Haitao , Zhao Jing , Zhang Fan , Zhao Chao , Wu Gang 
Published: June 2020

Abstract
This paper proposes a HBase connection dynamic keeping method based on the Reactor mode. This method uses the Reactor mode to implement the client connection maintenance mechanism based on the NSQ message queue. By only creating the TCP control block of the client connection and buffering it to the NSQ queue, it improves the response of the user connection and the concurrent processing capacity. By monitoring the active state of the connected TCP block in the message queue, the real-time processing capability of the connection is guaranteed. The reuse of HBase connection objects is realized through the listen-back callback mechanism, and the CPU and memory resource utilization is improved by dynamically adjusting the size of the connection object pool.
Design and Verification of Fuzzy Neural Network Automatic Control Algorithm in Intelligent Agriculture
Authors: Yan Wen , Zou Chengjun , Li Min , Yu Ye 
Published: June 2020

Abstract
Through the analysis and in-depth study of the fuzzy control system model and neural network, the optimal control strategy is obtained by the organic combination of fuzzy reasoning and neural network analysis training, and the automatic control algorithm based on fuzzy neural network is designed. The modified algorithm is applied and verified in Modern Agriculture Demonstration Park of Chengdu Agricultural College. The results show that the designed algorithm can meet the demand of automatic control in the field of intelligent agricultural control, and the control system has good universality and scalability. The application of automatic control algorithm based on fuzzy neural network can accelerate the development of agricultural modernization in China, and lay a solid foundation for the further research on the application of automatic control in other fields.
Influential Nodes Analysis Method of Tactical Mobile Ad Hoc Networks Based on Impact Factors Evaluation*
Authors: Peng Qinpeng , Wang Ying , Zhang Pingan 
Published: June 2020

Abstract
How to identify and analyze influential nodes of Tactical Mobile Ad Hoc Networks is an urgent problem. Existing researches fail to make full use of features of Tactical Mobile Ad Hoc Networks. In this paper, we propose an influential nodes analysis method of Tactical Mobile Ad Hoc Networks based on impact factors evaluation (TINE). The method evaluates node importance through two mechanisms: connectivity analysis and node importance evaluation. In connectivity analysis, the current network topology is reconstructed by placing nodes to monitor network data packets and resolve protocol. In node importance evaluation, node importance degree is calculated by adjacency matrix. The experimental results show that TINE we proposed has advantages over the existing methods in Tactical Mobile Ad Hoc Networks.
Spousal Influence on Diabetes Self-care: Moderating Effects of Distress and Relationship Quality on Glycemic Control
Authors: Soriano Emily C , Lenhard James M , Gonzalez Jeffrey S , Tennen Howard , Chow Sy-Miin , Otto Amy K , Perndorfer Christine , Shen Biing-Jiun , Siegel Scott D , Laurenceau Jean-Philippe 
Published: June 2020

Abstract

Background
Spouses often attempt to influence patients' diabetes self-care. Spousal influence has been linked to beneficial health outcomes in some studies, but to negative outcomes in others.

Purpose
We aimed to clarify the conditions under which spousal influence impedes glycemic control in patients with type 2 diabetes. Spousal influence was hypothesized to associate with poorer glycemic control among patients with high diabetes distress and low relationship quality.

Methods
Patients with type 2 diabetes and their spouses (N = 63 couples) completed self-report measures before patients initiated a 7-day period of continuous glucose monitoring. Mean glucose level and coefficient of variation (CV) were regressed on spousal influence, diabetes distress, relationship quality, and their two- and three-way interactions.

Results
The three-way interaction significantly predicted glucose variability, but not mean level. Results revealed a cross-over interaction between spousal influence and diabetes distress at high (but not low) levels of relationship quality, such that spousal influence was associated with less variability among patients with low distress, but more among those with high distress. Among patients with high distress and low relationship quality, a 1 SD increase in spousal influence predicted a difference roughly equivalent to the difference between the sample mean CV and a CV in the unstable glycemia range.

Conclusions
This was the first study to examine moderators of the link between spousal influence and glycemic control in diabetes. A large effect was found for glucose variability, but not mean levels. These novel results highlight the importance of intimate relationships in diabetes management.
What Makes a Kind an Art-kind?
Authors: Xhignesse Michel-Antoine 
Published: June 2020

Abstract
The premise that every work belongs to an art-kind has recently inspired a kind-centred approach to theories of art. Kind-centred analyses posit that we should abandon the project of giving a general theory of art and focus instead on giving theories of the arts. The main difficulty, however, is to explain what makes a given kind an art-kind in the first place. Kind-centred theorists have passed this buck on to appreciative practices, but this move proves unsatisfactory. I argue that the root of this dissatisfaction stems not from the act of kicking the can down the road, but from not kicking it far enough. The missing ingredient, I argue, is a notion of convention which does the work of marking the difference between art and non-art for a given physical medium.
Pyrexia of unknown origin associated with a non-infected vaginal shelf pessary
Authors: Gilbert Mathew , Laurenson Myra , Casson James , Alsawaf Ali 
Published: June 2020

Abstract
An 82-year-old female was admitted with pyrexia and rigors. Bloods showed a raised C-reactive protein and she was commenced on empirical intravenous antibiotics. Chest X-ray, urine microscopy and computed tomography scan of the patient’s abdomen and pelvis did not demonstrate a source of infection, and blood cultures did not grow a microorganism.
A collateral history was taken from the patient’s husband who raised concerns regarding her vaginal shelf pessary and it was therefore removed. Subsequently the patient’s fever subsided, her inflammatory markers improved and she was discharged 2 days later.
We believe this is the first reported case of pyrexia secondary to a non-infected vaginal pessary, and may provide clinicians with an additional line of enquiry when presented with patients with pyrexia of unknown origin.