bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of Various Neoplasm’s in Medical Images using Edge Detection and Neural Network
Authors:   Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad. India., Gadiraju Dr. Srinivasa Bapiraju , Abhinayani Poddolla ,   PG Scholor, M.Tech, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad. India., Gottumukkala Devi Priya ,   Assistant Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad. India., Dandu Sree Vidya ,   Assistant Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad. India., Atcha Naga Mallik ,   Assistant Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad. India.
Published: September 2019

Brain tumor is one in all the extraordinary illness causes death among the people. Neoplasm is associate unconfined expansion of tissue in any neighborhood of the body. During the process have a tendency to tend to stand live taking man photos as input; resonance imaging that is guided into internal cavity of brain and offers the entire image of brain. In this paper brain tumor detection system is proposed. Here bunch methodology supported intensity was enforced. The Probabilistic Neural Network square measure used to identify the various levels of tumor like Malignant, Benign or traditional. PNN with Radial Basis are used for classification and segmentation of cells. In order to classify the normal or abnormal cells, proper decision need to be taken. This could be done in 2 levels: Gray-Level Co-occurrence Matrix and the classification are performed based on Neural Networks. The tumor cell detection is manually performed by the schematic methodology for X-radiation.
Simulation of Heat Dissipation Behaviour in Grooved Heat Pipe
Authors:   Department of Mechanical engineering, Vignan's Institute of Information Technology, Visakhapatnam, A.P., India., Raghuram K.S. , Padhi S.N. ,   Dept.of Mechanical Engg., Koneru Lakshmaiah Education Foundation, Guntur, India., Harisha P. ,   Department of Mechanical engineering, Vignan's Institute of Information Technology, Visakhapatnam, A.P., India.
Published: September 2019

Having high and most effective thermal conductance value heat pipe is widely used for heat transformation. The heat pipe is having unique properties like compact size, light weight and indirect conductance. The heat pipe is used in the cooling of electronic components of computer applications, controlling of temperature in aerospace parts, excess heat recovery in exhaust gases of internal combustion engines. Heat pipes with rectangular cross section can be used for handling large heat transfer sections when weight and space are considered. The working medium that is entrapped in the heat pipe is under phase change from liquid to vapor and vice versa. The vapor condenses in the condenser region by removing heat to the sink and back to the evaporator passing through the porous wick using capillary pumping pressure for re-evaporation. There will be pressure drop in the wick and vapor channel volume. The simple theory of the heat pipe enumerates the capillary pressure in the wick should be more than the sum of the pressure drops in the vapor core and pressure drop in the wick.
Adaptive PEH-QoS Aware Management Control Scheme Based on Peltier and Piezoelectric Hybrid Model for WBAN Applications
Authors:   Ph.D research scholar, ECE Department, Chandigarh University, Gharuan, Mohali INDIA, Dhillon* Hardeep Singh , Chawla Dr. Paras ,   Prof & HOD, ECE Department, Chandigarh University, Gharuan, Mohali INDIA
Published: September 2019

Energy harvesting in the medical field is a reliable and effective method to charge the body sensor nodes in Wireless Body Area Networks (WBANs) for medical applications. WBANs provides health monitoring with real time updates for patient’s record. In WBANs, the nodes are used to detect events, which give significant contribution to maintain the Quality of Service (QoS) demands in terms of delay in packet transmission and reception, throughput and packet loss during communication. However, harvesting energy from motion of human body with health is always a challenge for WBANs. This simply increases the need to apt a new hybrid approach of Peltier and Piezoelectric human energy harvesting model for WBANs application. In recent years, a lot of researches related to Piezoelectric and Peltier that are shown in this literature. This paper proposes a hybrid approach of Piezoelectric and Peltier sensors for a WBAN Application. Work involves energy harvesting from movements and temperature gradients (body to ambient). Moreover, to use both of energies at the same time needs effective algorithm which is possible with the optimized way proposed in this paper. Proposed work uses the approach to pass emergency data to neighboring nodes if neighboring node elected as forward node. Election of forward node is selected on the basis of threshold level (α). In WBAN systems criticalness of data depends upon the applications. There are some cases like heart attack, asthma attack, diabetic attack etc requires immediate attention. These cases are considered as critical in nature. As proposed work uses the concept of data forwarding even if the node has not the power to send data up to BNC. Using this concept node which needs to send critical/emergency packets with low battery condition is possible. Proposed approach enhances data delivery and reduces the packet drop.
Influence of Social Media Expressions on Service Quality Perceptions
Authors:   Professor, Symbiosis Centre for Management Studies NOIDA, India., Singhal* Tarun Kumar , Vashisht Anubha ,   Professor, Symbiosis Centre for Management Studies NOIDA, India.
Published: September 2019

The customers are increasingly engaging with organizations to assess the service quality being offered. Generally, the engagements through customer support helplines, in-store interactions, and emails remain hidden from the customers as this data is seldom made public. In contrast, engagement through social media predominantly through social media expressions has a reaching effect due to its viral nature. The customers use social media expressions from either organizations (organization-generated) or from existing users (user-generated) to make decisions. Social media expressions representing expectations, experiences, suggestions, interactions, product/service behaviors, etc. are taken into consideration by the prospective/existing customers in creating perceptions about service quality. In a modern context, social media expressions have assumed a more considerable significance due to their quick and far-reaching impact on customers. These expressions predominantly influence the perceptions of service quality as the services are generally perceived after the delivery of the service. This paper has attempted to understand the categories of Expressions on Social Media (organization-generated and user-generated) and their subsequent influence on service quality perceptions, which would either enable a customer to engage with the organization or move away. This paper has also stressed for the need to positively stimulating social media expressions at each stage of service delivery to ensure that the perceptions of the service quality remain in the positive domain.
Dynamic Load Balancing Based on Genetic Algorithm
Authors:   Computer Science and Engineering, R V College of Engineering, Bangalore, India., S Sandhya , Cauvery Dr. N. K. ,   Information Science and Engineering, R V College of Engineering, Bangalore, India.
Published: September 2019

Load balancing has been the focus of research over the current days in many domains but more importantly they are crucial for distributed computing. The research mainly focuses towards distributing load based on the current usage of nodes to facilitate effective resource utilization and obtain better performance from the system. Balancing load is to distribute the tasks on to the available or idle nodes so that resources are utilized fairly in a distributed environment. By developing strategies to assign the processes on a heavily loaded processor to an idle/under loaded processor in a way that balances out the load, the total processing time can be reduced hence achieving improved processor utilization. Genetic Algorithm(GA) is a search based approach that is robust and that can adapt to the search space for optimizing the solution are gaining immense popularity. GA in the proposed work considers the load as a parameter to evaluate fitness of the strings. The strings are also generated based on the load information of the nodes. The fitness evaluates the strings to identify only the underutilized or idle nodes which can take the transmitted load. Hence the work proposed explores and illustrates how GA could be employed to solve the problem of dynamic load-balancing.
Manipulation of Electronic Devices and Data in Dispensing Pumps
Authors:   Senior Assistant Professor, School of Computer and Information Sciences, University of Hyderabad, Gachibowli, Hyderabad-India, Mani.M Naga , Babu U Vimal ,   Research Scholar, Mechanical Engineering, Vignan’s Foundation for Science, Technology and Research (Deemed to be University), Vadlamudi, Guntur, AP-India,, M Dr.Ramakrishana. ,   Dean, IQAC & Professor, Mechanical Engineering, Vignan’s Foundation for Science, Technology and Research (Deemed to be University), Vadlamudi, Guntur, AP-India, Kumar Sandeep ,   Student, School of Computer and Information Sciences, University of Hyderabad, Gachibowli, Hyderabad, India
Published: September 2019

The sale of fuel through electronics controlled based Dispensing units in the retail outlets are the source of manipulation. The stake holders are customers and are directly affected by the unauthorized manipulation by the petroleum product selling units. The electronic devices are more prone for changing the original encrypted data or stored data as a program. The program stored in this device can be altered unauthenticated by external device attached to the original circuit’s boarders. The circuits board is build with the microcontroller based hardware that controls the outlet pipe by setting the control signal by the selling unit. This can be alter by changing the pulse which are used to modulate the information bits so that cheating the customer by alter the set control bit by deliver less or more through the dispensing unit. This research article focus on explore the possibilities to make the encryption method of control bits more robust than the present simple pulse modulation techniques.
SciMath: A Mathematical Information Retrieval System using Signature Based B Tree Indexing
Authors:   Department of CSE, Assam University, Silchar, India., Dhar Sourish , Biswas Abhijit ,   Department of CSE, Assam University, Silchar, India., Singh Nidhi ,   Department of CSE, Assam University, Silchar, India.
Published: September 2019

Given a mathematical query, traditional text retrieval systems are not very effective in retrieving mathematical information from scientific documents. This paper presents the design and implementation of a new mathematical information retrieval (MIR) system: SciMath, which can take a mathematical formulae as a query and retrieve the relevant scientific documents consisting the relevant mathematical contents based on a B-Tree indexing scheme. The proposed system is then compared with two classical math-aware search engines to prove its effectiveness.
Two Electrode ECG And EOG System For Monitoring Applications
Authors:   Biomedical Engineering Department, SRM Institute of Science and Technology, Kattankulathur-603203, India., Wangmo Pema , Ramyavani Goli ,   Biomedical Engineering Department, SRM Institute of Science and Technology, Kattankulathur-603203, India., Iyer Kaustubh Shivkumar ,   Biomedical Engineering Department, SRM Institute of Science and Technology, Kattankulathur-603203, India., Raj V Karthik ,   TDAC Solutions Pvt Ltd, Cochin-682036, India.
Published: September 2019

Heart and Eye are two vital organs in the human system. By knowing the Electrocardiogram (ECG) and Electro-oculogram (EOG), one will be able to tell the stability of the heart and eye respectively. In this project, we have developed a circuit to pick the ECG and EOG signal using two wet electrodes. Here no reference electrode is used. EOG and ECG signals have been acquired from ten healthy subjects. The ECG signal is obtained from two positions, namely wrist and arm position respectively. The picked-up biomedical signal is recorded and heart rate information is extracted from ECG signal using the biomedical workbench. The result found to be promising and acquired stable EOG and ECG signal from the subjects. The total gain required for the arm position is higher than the wrist position for the ECG signal. The total gain necessary for the EOG signal is higher than the ECG signal since the ECG signal is in the range of millivolts whereas EOG signal in the range of microvolts. This two-electrode system is stable, cost-effective and portable while still maintaining high common-mode rejection ratio (CMRR).
Generation Y Consumer Perception of Patanjali Products in Kerala
Authors:   student, Department of Management, Amrita Vishwa Vidyapeetham, Kollam, India, Salil Brijesh , Vivek* Soni ,   Assistant Professor Department of Management Amrita Vishwa Vidyapeetham, Amritapuri
Published: September 2019

FMCG is one of the sectors which are rapidly rising all over the world. There are many FMCG companies in India including Hindustan Unilever (HUL), Procter & Gamble (P&G), India tobacco company (ITC), Patanjali, etc.The objective of the study is to understand the consumer perception of Patanjali products in Kerala, India. The primary data was collected from a structured questionnaire with 100 respondents. The major finding in the study says that Quality and Natural product are the two main things that influences customer to buy Patanjali products in Kerala. Further analysis brought out the whether the Patanjali will sustain in the market or not, majority of the people told that they will buy the product again and they will recommend the product to their friends and relatives. So with this we can say that the Patanjali products will sustain in Kerala market.
Evalution of Carbon Footprint
Authors:   School of Civil Engineering, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, India., Subramanyam*
Published: September 2019

Due to manufactured technology enchantment the living being has much convenience and luxury. Though, at the same time, our current existence is doing damage to the environment. Like water pollution, air pollution and Carbon dioxide (CO2) emissions on so forth. But CO2 emissions are the one of the major reason polluting the environment. Furthermost of what we utilise in our daily life lead to emitting CO2 into the environment. Due to this it leads to global warming and climate change problems. Therefore, carbon auditing (Carbon Footprint Analysis) is the first essential step to review the use of energy, to improve energy conservation and to allow building to go green. For this reason we need carbon audit to reduce usage raw materials, waste generation so on so forth to minimise GHG emissions .“CARBON AUDIT” is conducted within the building’s boundary which includes the following stages:- People Survey to gather employee-level data, Building Survey to gather building-operation data, Carbon Footprint Analysis to evaluate the greenhouse gas (GHG) emission and Final Carbon Audit Report to provide tailored recommendations for going green along with action plan to get started.
Automated Brain Tumor Detection in MRI Images Using Efficient Deep Learning Methods
Authors:   Department of Computer Science and Engineering, Sri Krishna College of Technology / Coimbatore, India., Selvy P.Tamije , Anitha M. ,   Department of Computer Science and Engineering, Sri Krishna College of Technology / Coimbatore, India.
Published: September 2019

Brain tumor is an unusual intensification of cells inside the skull. The brain MRI scanned images is segmented to extract brain tumor to analyze type and depth of tumor. In order to reduce the time consumption of brain tumor extraction, an automatic method for detection of brain tumor is highly recommended. Deep machine learning methods are used for automatic detection of the brain tumor in soft tissues at an early stage which involves the following stages namely: image pre-processing, clustering and optimization. This paper addresses previously adduced pre-processing (Skull stripping, Contrast stretching, clustering (k-Means, Fuzzy c-means) and optimization (Cuckoo search optimization, Artificial Bee Colony optimization) strategies for abnormal brain tumor detection from MRI brain images. Performance evaluation is done based on computational time of clustering output and optimization algorithms are analyzed in terms of sensitivity, specificity, and accuracy.
Word Embeddings and Its Application in Deep Learning
Authors:   Assistant Professor, Dept. of IT, Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow, U.P., India., Verma Parul , Khandelwal Brijesh ,   Associate Professor, Dept of Comp. Sc, Amity School of Engineering & Technology, Amity University Chhattisgarh, Raipur, Chhattisgarh, India.
Published: September 2019

Word embedding in simple term can be defined as representing text in form of vectors. Vector representations of text help people in finding similarities, because contextual words that seem to appear nearby regularly use to appear in close proximity in vector space. The motivating factor behind such numerical representation of text corpus is that it can be manipulated arithmetically just like any other vector. Deep learning along with neural network is not new at all, both the concepts are prevalent around the decades but there was a major tailback of unavailability and accessibility of computation power. Deep learning is now effectively being used in Natural Language Processing with the improvement in techniques like word embedding, mobile enablement and focus on attention. The paper will discuss about the two popular model of word embedding (Word2Vec model) can be used for deep learning and will also compare them. The implementation steps of Skip gram model are also discusses in the paper. The paper will also discuss challenging issues for Word2Vce model.
PEMANFAATAN KARET ALAM UNTUK PRODUK BARANG JADI DI DESA SUBAN JERIJI KECAMATAN RAMBANG DANGKU KABUPATEN MUARA ENIM
Authors: Junaidi Robert , Hasan Abu , Ridwan KA
Published: September 2019

Besides the domestic consumption of natural rubber into rubber goods is still very small, Indonesia is also still dependent on the export of these commodities abroad. The new natural rubber producing countries which are quite troubling the world natural rubber market including Indonesia are also China, Vietnam and Cambodia. One of the main weaknesses of Indonesian farmers' natural rubber is dirty. This is a cause of low prices. The cost of cleaning the rubber is too high. Therefore it is indeed necessary to have a way to diversify rubber products or increase the consumption of natural rubber in the country is very important. In order for many people to produce rubber goods, this means that many people know that cleaning rubber is necessary and does not need to be polluted. In Palembang itself, there was PT. Sri Bina Havea and Intirub Tire Factory, but both are gone. Thus, the way to produce rubber goods of natural rubber needs to be socialized to the Indonesian people, especially in South Sumatetra. This certainly greatly influences the development of the local economy given that South Sumatetra is the largest producer of natural rubber in Indonesia and this result is mostly produced by farmers rather than large companies. For this reason, this service aims to provide information about the technology of processing natural rubber into rubber goods to the public. This service was carried out on the people of Suban Jeriji village, Rambang Dangku Sub-District, Muara Enim Regency, South Sumatra. The method used in this activity is a lecture and interactive discussion about the manufacture of natural rubber finished goods with the help of LCD and accompanied by providing samples of finished goods products from semi-finished natural rubber. The target to be achieved in this activity is the formation of insights into thinking that natural rubber goods are a way to overcome the ever-uncertain prices of natural rubber on the market. The long-term target of this activity is perhaps one day there are students or students who are interested in becoming entrepreneurs of natural rubber goods.
The Effect of Working Capital, Leverage, and Firm Size towards Corporate Performance with Liquidity ss Moderating Variables
Authors: Rizqi Adam Firman , Idawati Wiwi
Published: September 2019

The purpose of this research to analyse the effect of working capital, leverage, firm size and liquidity on corporate performance, with liquidity as a moderating variable. Samples in this research uses the 29 companies listed on IDX are in the category LQ45 period February 2013 - February 2016. The analytical tool used in this research is multiple linear regression models with path analysis. These results indicate that working capital positive effect on corporate performance, firm size negative effect on corporate performance. Leverage and Liquidity are no effect on corporate performance. Liquidity as a moderating variable indicate strengthen the effect of working capital while liquidity weakens the leverage effect on corporate performance.
Keterkaitan Self Assessment System, Kualitas Pelayanan dan Pemeriksaan Pajak terhadap Kepatuhan Wajib Pajak Orang Pribadi
Authors: Putri Narti Eka , Pharamitha Apriliyah
Published: September 2019

Penerimaan pajak memiliki kontribusi yang sangat besar dalam APBN, sehingga pemerintah harus berupaya untuk selalu meningkatkan dan mempertahankan penerimaan pajak. Usaha untuk memaksimalkan penerimaan pajak tidak hanya mengandalkan peran dari Ditjen pajak ataupun pihak fiskus, namun dibutuhkan juga peran aktif dari wajib pajak itu sendiri. Pada kenyataannya, kepatuhan wajib pajak bukanlah hal yang mudah untuk direalisasikan. Penelitian ini bertujuan untuk mengetahui pengaruh pelaksanaan self assessment system, kualitas pelayanan dan pemeriksaan pajak terhadap kepatuhan wajib pajak orang pribadi. Metode penelitian yang digunakan adalah penelitian kuantitatif dengan pengumpulan data primer berupa survey langsung dengan cara memberikan kuesioner kepada wajib pajak orang pribadi di KPP Pratama Kebayoran Baru Tiga. Dengan menggunakan rumus Slovin, sampel yang diambil sebanyak 391 responden. Setelah diolah dengan aplikasi SPSS versi 24, didapatlah hasil bahwa self assessment system, kualitas pelayanan dan pemeriksaan pajak berpengaruh signifikan secara parsial terhadap kepatuhan wajib pajak orang pribadi.
The X-Ray-resolved Supernova Remnant S8 in the Dwarf Irregular Galaxy IC 1613
Authors: Schlegel E. M. , Pannuti Thomas G. , Lozinskaya T. , Moiseev A. , Lacey C. K.
Published: September 2019

We conducted an observation of the nearby irregular galaxy IC 1613 with the Chandra X-ray Observatory using the S3 chip of the Advanced CCD Imaging Spectrometer (ACIS) with an effective exposure time of 49.9 ks. The observation primarily targeted the extensive bubble and star formation region in the northeast quadrant of the galaxy. The only known supernova remnant (SNR) in IC 1613, S8, is also the galaxy’s most luminous X-ray source (L
X(0.3–8 keV) ∼5–6 × 1036 erg s−1). We resolve the SNR with Chandra and compare its nearly circular X-ray morphology with Hα and radio images. We assign an upper limit on the luminosity of any possible associated compact central object of ≈4 × 1035 erg s−1 (0.3–8 keV band) and conclude that we would detect a Crab-like pulsar but not a Cas A-like object. We infer an age for S8 of ∼3400–5600 yr and compare it to other SNRs in the Local Group. We suggest that S8 is a young composite SNR.
The Cold and Dusty Circumstellar Matter around Fast-expanding Type Ia Supernovae
Authors: Wang Xiaofeng , Chen Jia , Wang Lifan , Hu Maokai , Xi Gaobo , Yang Yi , Zhao Xulin , Li Wenxiong
Published: September 2019

SNe Ia play key roles in revealing the accelerating expansion of the universe, but our knowledge of their progenitors is still very limited. Here we report the discovery of a rigid dichotomy in circumstellar (CS) environments around two subclasses of SNe Ia as defined by their distinct photospheric velocities. For the SNe Ia with high photospheric velocities (HVs), we found a significant excess flux in blue light 60–100 days past maximum, while this phenomenon is absent for SNe with normal photospheric velocity. This blue excess can be attributed to light echoes by circumstellar dust located at a distance of about (1–2) × 1017 cm from the HV subclass. Moreover, we also found that the HV SNe Ia show systematically evolving Na i absorption line by performing a systematic search of variable Na i absorption lines in spectra of all SNe Ia, whereas this evolution is rarely seen in normal ones. The evolving Na i absorption can be modeled in terms of photoionization model, with the location of the gas clouds at a distance of about 2 × 1017 cm, in striking agreement with the location of CS dust inferred from B-band light-curve excess. These observations show clearly that the progenitors of HV subclass are likely from single-degenerate progenitor system (i.e., symbiotic binary), while the NV subclass may arise from double-degenerate system.
Sloshing of Galaxy Cluster Core Plasma in the Presence of Self-interacting Dark Matter
Authors: ZuHone J. A. , Zavala J. , Vogelsberger M.
Published: September 2019

The “sloshing” of the cold gas in the cores of relaxed clusters of galaxies is a widespread phenomenon evidenced by the presence of spiral-shaped “cold fronts” in X-ray observations of these systems. In simulations, these flows of cold gas readily form via interactions of the cluster core with small subclusters, due to a separation of the cold gas from the dark matter (DM), due to their markedly different collisionalities. In this work, we use numerical simulations to investigate the effects of increasing the DM collisionality on sloshing cold fronts in a cool-core cluster. For clusters in isolation, the formation of a flat DM core via self-interactions results in modest adiabatic expansion and cooling of the core gas. In merger simulations, cold fronts form in the same manner as in previous simulations, but the flattened potential in the core region enables the gas to expand to larger radii in the initial stages. Upon infall, the subclusters DM mass decreases via collisions, reducing its influence on the core. Thus, the sloshing gas moves slower, inhibiting the growth of fluid instabilities relative to simulations where the DM cross section is zero. This also inhibits turbulent mixing and the increase in entropy that would otherwise result. For values of the cross section σ/m ≳ 1, subclusters do not survive as self-gravitating structures for more than two core passages. Additionally, separations between the peaks in the X-ray emissivity and thermal Sunyaev–Zeldovich effect signals during sloshing may place constraints on DM self-interactions.
ALMA Detection of Vibrationally Excited (vt = 1, 2) Acetic Acid toward NGC 6334I
Authors: Xue Ci , Remijan Anthony J. , Brogan Crystal L. , Hunter Todd R. , Herbst Eric , McGuire Brett A.
Published: September 2019

Vibrationally excited states of detected interstellar molecules have been shown to account for a large portion of unidentified spectral lines in observed interstellar spectra toward chemically rich sources. Here, we present the first interstellar detection of the first and second vibrationally excited torsional states of acetic acid (v
t = 1, 2) toward the high-mass star-forming region NGC 6334I. The observations presented were taken with the Atacama Large Millimeter/submillimeter Array in bands 4, 6, and 7 covering a frequency range of 130–352 GHz. By comparing a single-excitation temperature model to the observations, the best-fit excitation temperature and column density are obtained to be 142(25) K and 1.12(7) × 1017 cm−2, respectively. Based on the intensity maps of the vibrationally excited CH3COOH transitions, we found that the CH3COOH emissions are compact and concentrated toward the MM1 and MM2 regions with a source size smaller than 2″. After locating the emission from different CH3COOH transitions, which cover a large range of excitation energies, we are able to explain the variation of the CH3COOH emission peak within the MM2 core by invoking continuum absorption or outflows.
Spectral Lag for a Radiating Jet Shell with a High-energy Cutoff Radiation Spectrum
Authors: Du Shen-Shi , Lin Da-Bin , Lu Rui-Jing , Li Rui-Quan , Gan Ying-Ying , Ren Jia , Xiang-Gao Wang , Liang En-Wei
Published: September 2019

Recent research shows that the spectral lag is closely related to the spectral evolution in gamma-ray bursts (GRBs). In this paper, we study the spectral lag for a radiating jet shell with a high-energy cutoff radiation spectrum. For the jet shell with a cutoff power-law spectrum, the spectral lag monotonically increases with the photon energy and levels off at a certain photon energy. It is the same for the jet shell with a Band cutoff spectrum (Bandcut). However, a turnover from the positive lags to negative lags appears in the high-energy range for the jet shell with a Bandcut, which is very similar to that observed in GRB 160625B. The dependence of the spectral lags on the spectral shape/evolution is studied in detail. In addition, the spectral lag behavior observed in GRB 160625B is naturally reproduced based on our theoretical outcome.
When Cold Radial Migration is Hot: Constraints from Resonant Overlap
Authors: Daniel Kathryne J. , Schaffner David A. , McCluskey Fiona , Kawaguchi Codie Fiedler , Loebman Sarah
Published: September 2019

It is widely accepted that stars in a spiral disk, like the Milky Way’s, can radially migrate on the order of a scale length over the disk’s lifetime. With the exception of cold torquing, also known as “churning,” processes that contribute to the radial migration of stars are necessarily associated with kinematic heating. Additionally, it is an open question as to whether or not an episode of cold torquing is kinematically cold over long radial distances. This study uses a suite of analytically based simulations to investigate the dynamical response when stars are subject to cold torquing and are also resonant with an ultraharmonic. Model results demonstrate that these populations are kinematically heated and have rms changes in orbital angular momentum around corotation that can exceed those of populations that do not experience resonant overlap. Thus, kinematic heating can occur during episodes of cold torquing. In a case study of a Milky Way-like disk with an exponential surface density profile and flat rotation curve, up to 40% of cold torqued stars in the solar cylinder experience resonant overlap. This fraction increases toward the galactic center. To first approximation, the maximum radial excursions from cold torquing depend only on the strength of the spiral pattern and the underlying rotation curve. This work places an upper limit to these excursions to be the distance between the ultraharmonics, otherwise radial migration near corotation can kinematically heat. The diffusion rate for kinematically cold radial migration is thus constrained by limiting the step size in the random walk approximation.
The Dynamics of AR 12700 in Its Early Emerging Phase. II. Fan-shaped Activities Relevant to Arch Filament Systems
Authors: Zhong Sihui , Hou Yijun , Li Leping , Zhang Jun , Xiang Yongyuan
Published: September 2019

The emergence of active regions (ARs) closely relates to the solar dynamo and dynamical atmospheric phenomena. With high-resolution and long-lasting observations from the New Vacuum Solar Telescope, we report a new dynamic activity phenomenon named “fan-shaped activity (FSA)” in the emerging phase of NOAA AR 12700. The FSAs are clearly observed at Hα wavelengths and are closely related to the dynamics of the adjacent arch filament system (AFS), including thread deformation and material downward motions. On 2018 February 26, the two most representative FSAs appeared around 05:21 UT and 06:03 UT, respectively, and they first ascended and then decayed within around 10 minutes. At the ascending phase, accompanied by the uplifting of an adjacent AFS, each FSA launches up at one end of the AFS and extends for up to ∼11 Mm. At the decaying phase, the FSA gradually vanishes, and material downflows toward the other end of the AFS are detected. After checking the evolution of the magnetic fields of AR 12700, we find that each FSA is located between the end of an AFS and an adjacent magnetic patch with the same polarity and launches at the onset of the collision and compression between these two magnetic patches. We propose that the collision lifts up the AFS, and then the initially compact AFS laterally expands, resulting in the formation of FSA. A cartoon model is proposed to depict the activities.
A Universal Energy Distribution for FRB 121102
Authors: Wang F. Y. , Zhang G. Q.
Published: September 2019

Fast radio bursts (FRBs) are millisecond radio transients with large dispersion measures. An outstanding question is the relation between repeating FRBs and those with a single burst. In this paper, we study the energy distribution of the repeating FRB 121102. For a power-law distribution of energy

, we show that the value of α

E
is in a narrow range 1.6–1.8 for bursts observed by different telescopes at different frequencies, which indicates a universal energy distribution for FRB 121102. Interestingly, a similar power-law index of energy distribution for nonrepeating FRBs observed by Parkes and ASKAP is also found. However, if low-energy bursts below the completeness threshold of Arecibo are discarded for FRB 121102, the slope could be up to 2.2. Implications of such a universal energy distribution are discussed.
Relativistic Plasmoid Instability in Pair Plasmas
Authors: Yang S. D.
Published: September 2019

The problem of plasmoid instability in relativistic pair plasmas is investigated with a fluid model incorporating kinetic effects through thermal inertia, where both parallel modes and oblique modes are discussed. The dimensionless parameters, Lundquist number and electron skin depth, are found to determine the growth rate of the linear plasmoid instability as well as set the division among different parameter regimes. The onset and cascade of plasmoids are described, with two limits specified: plasmoid instability stemming from a Sweet–Parker-like steady-state current sheet, and the near-ideal limit where the current sheet breaks up on the way to a steady state. The tearing growth rate in evolving current sheets in the near-ideal regime well accounts for the sudden onset of the plasmoid instability. The regimes in between are characterized by modifications to the ideal limit, through which a continuous scaling law is established connecting the two limits. Scaling laws are obtained for the onset as well as the cascading process, and the cascade model in this paper predicts the critical parameters for the onset of plasmoid instability.
A New Automatic Tool for CME Detection and Tracking with Machine-learning Techniques
Authors: Wang Pengyu , Zhang Yan , Feng Li , Yuan Hanqing , Gan Yuan , Li Shuting , Lu Lei , Ying Beili , Gan Weiqun , Li Hui
Published: September 2019

With the accumulation of coronal mass ejection (CME) observations by coronagraphs, automatic detection and tracking of CMEs has proven to be crucial. The excellent performance of the convolutional neural network in image classification, object detection, and other computer vision tasks motivates us to apply it to CME detection and tracking as well. We developed a new tool for CME Automatic detection and tracking with MachinE Learning (CAMEL) techniques. The system is a three-module pipeline. It is first a supervised image classification problem. We solve it by training a neural network LeNet with training labels obtained from an existing CME catalog. Those images containing CME structures are flagged as CME images. Next, to identify the CME region in each CME-flagged image, we use deep descriptor transforming to localize the common object in an image set. A following step is to apply the graph cut technique to finely tune the detected CME region. To track the CME in an image sequence, the binary images with detected CME pixels are converted from a cartesian to a polar coordinate. A CME event is labeled if it can move in at least two frames and reach the edge of the coronagraph field of view. For each event, a few fundamental parameters are derived. The results of four representative CMEs with various characteristics are presented and compared with those from four existing automatic and manual catalogs. We find that CAMEL can detect more complete and weaker structures and has better performance to catch a CME as early as possible.
Detection of Hundreds of New Planet Candidates and Eclipsing Binaries in K2 Campaigns 0–8
Authors: Kruse Ethan , Agol Eric , Luger Rodrigo , Foreman-Mackey Daniel
Published: September 2019

We implement a search for exoplanets in campaigns zero through eight (C0–8) of the K2 extension of the Kepler spacecraft. We apply a modified version of the QATS planet search algorithm to K2 light curves produced by the EVEREST pipeline, carrying out the C0–8 search on 1.5 × 105 target stars with magnitudes in the range of Kp = 9−15. We detect 818 transiting planet candidates, of which 374 were undiscovered by prior searches, with {64, 15, 5, 2, 1} in {2, 3, 4, 5, 6}-planet multiplanet candidate systems, respectively. Of the new planets detected, 100 orbit M dwarfs, including one that is potentially rocky and in the habitable zone. A total of 154 of our candidates reciprocally transit with our solar system: they are geometrically aligned to see at least one solar system planet transit. We find candidates that display transit timing variations and dozens of candidates on both period extremes with single transits or ultrashort periods. We point to evidence that our candidates display similar patterns in frequency and size–period relation to confirmed planets, such as tentative evidence for the radius gap. Confirmation of these planet candidates with follow-up studies will increase the number of K2 planets by up to 50%, and characterization of their host stars will improve statistical studies of planet properties. Our sample includes many planets orbiting bright stars amenable for radial velocity follow-up and future characterization with JWST. We also list the 579 eclipsing binary systems detected as part of this search.
General-relativistic Resistive Magnetohydrodynamics with Robust Primitive-variable Recovery for Accretion Disk Simulations
Authors: Ripperda B. , Bacchini F. , Porth O. , Most E. R. , Olivares H. , Nathanail A. , Rezzolla L. , Teunissen J. , Keppens R.
Published: September 2019

Recent advances in black hole astrophysics, particularly the first visual evidence of a supermassive black hole at the center of the galaxy M87 by the Event Horizon Telescope, and the detection of an orbiting “hot spot” nearby the event horizon of Sgr A* in the Galactic center by the Gravity Collaboration, require the development of novel numerical methods to understand the underlying plasma microphysics. Non-thermal emission related to such hot spots is conjectured to originate from plasmoids that form due to magnetic reconnection in thin current layers in the innermost accretion zone. Resistivity plays a crucial role in current sheet formation, magnetic reconnection, and plasmoid growth in black hole accretion disks and jets. We included resistivity in the three-dimensional general-relativistic magnetohydrodynamics (GRMHD) code BHAC and present the implementation of an implicit–explicit scheme to treat the stiff resistive source terms of the GRMHD equations. The algorithm is tested in combination with adaptive mesh refinement to resolve the resistive scales and a constrained transport method to keep the magnetic field solenoidal. Several novel methods for primitive-variable recovery, a key part in relativistic magnetohydrodynamics codes, are presented and compared for accuracy, robustness, and efficiency. We propose a new inversion strategy that allows for resistive-GRMHD simulations of low gas-to-magnetic pressure ratio and highly magnetized regimes as applicable for black hole accretion disks, jets, and neutron-star magnetospheres. We apply the new scheme to study the effect of resistivity on accreting black holes, accounting for dissipative effects as reconnection.
Mettre en œuvre des actions de formation et de changement : une relecture contemporaine de Kurt Lewin dans le contexte de l’agroécologie
Authors: Faulx Daniel , Nion Cybill , Collière Pierre , Capoen Eric
Published: September 2019

Kurt Lewin a marqué l’histoire des sciences sociales et s’est penché plus particulièrement sur les questions de l’apprentissage, du changement et des groupes. Dans cet article, nous abordons de quelle manière ses théories, ses concepts et ses pratiques peuvent nourrir les formateurs actuels. En effet, les questions posées par Lewin restent d’actualité : Comment former ? Comment soutenir l’apprentissage ? Comment gérer les différentes dimensions d’une innovation sociale ou technique ? L’approche Lewinienne sera appliquée ici aux actions d’une organisation non gouvernementale conduisant des projets orientés vers des pratiques agricoles plus respectueuses de l’homme et de l’environnement. Dans le cadre d’un partenariat entre cette organisation et un service universitaire, nous verrons quelle conceptualisation des pratiques et quelles propositions peuvent résulter du croisement de l’expérience de terrain et des théories de Lewin, le tout au service de la formation aujourd’hui.
De la collection « Plein Vent » à Nos étoiles contraires , quarante ans de littérature pour les adolescents
Authors: de rech. et de pratique sur le livr Comité de lecture de l’Asso. , Sauvajol Buferne Christine
Published: September 2019

Nous allons nous intéresser à la littérature pour les adolescents. Quand est-elle apparue ? Que lisaient-ils alors ? Et maintenant ? Dans cet entretien, le Comité de lecture de l’Association de recherche et de pratique sur le livre pour enfants passe en revue les différents courants qui animent aujourd’hui la création littéraire destinée aux années collège, la fantasy , bien sûr, mais aussi la dystopie, la « sick-lit » … Quelques repères.
La connaissance phénoménale repose-t-elle sur l’accointance ?
Authors: Ludwig Pascal
Published: September 2019

Selon la théorie de la connaissance phénoménale comme accointance, notre connaissance des propriétés phénoménales de nos états conscients repose sur une relation épistémologiquement directe et métaphysiquement simple. Dans cet article, je soutiens que le meilleur argument en faveur de cette approche est une inférence à la meilleure explication. Je décris l’ explanandum et l’ explanans de cette inférence, ce qui me conduit à distinguer un sens faible et un sens fort de l’accointance. Je montre ensuite que l’inférence est fragile pour deux raisons. En premier lieu, il n’est pas clair que l’ explanandum puisse être établi indépendamment de la thèse même qu’il motive, ce qui fait apparaître un risque de circularité explicative au sens de Hempel. En second lieu, les défenseurs de l’accointance devraient montrer comment une relation métaphysiquement simple, donc irréductible à des mécanismes, peut expliquer l’acquisition des croyances phénoménales. Je conclus que nous n’avons pas actuellement de raisons d’accepter la thèse forte de l’accointance, mais que le concept d’accointance faible pourrait certainement jouer un rôle important dans une théorie de la connaissance phénoménale
Nos amis les morts
Authors: Soriano Paul
Published: September 2019

Les morts survivent à deux conditions : laisser des traces mémorables et être invoqués par un vivant qui leur sert de médium. Affranchi de son corps comme de toute actualité, le défunt accède à l’immortalité, pareil à un dieu. Existence enviable ?
Lazare à l’hôpital
Authors: Guibert Philippe
Published: September 2019

Aujourd’hui Lazare survit sous perfusion. Le dernier homme est increvable.
« Regarde dans quel état nous nous mettons ! » Luttes contre les violences sexuelles et renouveau du féminisme en Argentine
Authors: Carbajal Mariana , Ichaso Inès , Sandoval Maritza
Published: September 2019

Les luttes contre la violence machiste en Argentine se sont répandues et popularisées depuis 2015. Loin d’être une injonction des classes moyennes, la prise de conscience féministe et les revendications pour les droits des femmes traversent toute la société : professionnelles, paysannes, ouvrières, étudiantes, adolescentes, majeures, filles, mères et grands-mères. Pour éclairer ces luttes, Inès Ichaso s’entretient avec la journaliste argentine Mariana Carbajal qui a contribué à impulser le mouvement «  Ni Una Menos  » (« Pas une de moins »). Mariana Carbajal fait partie des Journalistes d’Argentine en Réseau pour une Communication non Sexiste (PAR, de son sigle en espagnol). Elle collabore au journal progressiste Página 12 et anime des émissions sur le genre et le féminisme à la radio et à la télévision. Elle a notamment publié les ouvrages Je te crois, sœur (2019), Maltraitées. Violence de genre dans les rapports de couple (2014) et L’avortement en débat. Apports pour une discussion en attente (2009). 1
Naissance du clito, apparition du consentement – itinéraire d’un éducateur à la sexualité
Authors: Kpote
Published: September 2019

Le Dr. Kpote intervient depuis près de vingt ans auprès d’adolescent.es comme « animateur de prévention ». Durant ces deux décennies, il a vu le contexte de ses interventions se transformer profondément et il a modifié son approche de l’éducation à la sexualité en conséquence. De l’irruption de l’épidémie du sida à la mise à l’agenda public de la question du consentement par des mouvements comme #MeToo, en passant par la généralisation de la consommation de la pornographie à la faveur du développement d’Internet et des réseaux sociaux, il a fallu élargir les thématiques et changer les manières de parler sexualité avec les jeunes. Il nous raconte comment, en près de deux décennies, il est passé d’une approche très sanitaire de la sexualité à une approche plus sociale, moins technique, plus sensible. Son itinéraire témoigne aussi de l’affirmation montante du désir, du consentement et du plaisir féminin dans la sexualité et les discours sur la sexualité.
Entre science, culture et politique, chroniquer la sexualité
Authors: Mazaurette Maïa , Andro Armelle , Zappi Sylvia
Published: September 2019

Maïa Mazaurette est écrivaine, blogueuse et chroniqueuse. Elle a créé les premiers blogs en France sur la sexualité, dont le blog Sexactu.com (avec le magazine GQ ). Elle est l’auteure de romans, de BD et de nombreux ouvrages sur les enjeux contemporains de la sexualité et la place des corps dans la société dont notamment La revanche du clitoris publié avec Damien Mascret en 2008 et Sortir du trou qui paraît en novembre 2019. Elle tient la chronique « Le sexe selon Maïa » dans le journal Le Monde depuis plusieurs années, la chronique « Eros et controverses » dans le journal Le Temps et la chronique « Utopie et Dystopie » dans le journal Usbek & Rica .