bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimentation on Design and Development of Mini Wind Turbine
Authors:   Mechanical engineering, Zeal Engineering college and Research, Pune, India., Pramod B. Magade , Srirang P Chavan ,   Mechanical engineering, Annasaheb Dange college of engineering,asta,Sangli,India., Sushilkumar B Magade ,   Civil Engineering, JSPM College of engineering, Pune, India.
Published: September 2019

Wind energy systems are energized by the naturally flowing wind, therefore it can be considered as a fresh source of energy. In addition, the wind energy is accessible as a domestic source of power in many countries worldwide and not bound to just a couple of nations, as on account of oil. However, the output of a wind turbine relies on upon the turbine's size and the wind's speed through the rotor. The amount of power created by the horizontal axis wind turbine is proportional to rotor area and power of wind velocity. In present paper the experimental and analytical study with finite element analysis has been carried out with considering dependent factors like wind speed, number of blades, size of blades to evaluate maximum output power. It is observed that, the eight numbers of blades with 1200mm diameter is more effective in terms of power output.
Web Document Classification Using Fuzzy K-Nearest Neighbor
Authors:   Department of CSE, SDMCET, Dharwad, India., Qazi Aijazahamed , Goudar Dr.R.H. ,   Department of CNE, Center for PG Studies Visvesvaraya Technological University, Belgaum, India., Hiremath Dr.P.S. ,   Department of MCA, KLE Technological University, Hubli, India.
Published: September 2019

With surge in the number of documents across the internet, increasing the efficiency of any retrieval model is a challenging task. As non-relevant information is retrieved across the internet, increasing the accuracy of any search model is one of the research concerns. Fuzzy classification is broadly applied to address the search issue in search engines. Fuzzy logic provides a methodology to interpret natural language using membership functions. A variant of k-Nearest Neighbor (kNN) called Fuzzy kNN is explored in this paper. This paper provides a comparative analysis of results obtained using kNN and Fuzzy kNN. The Fuzzy kNN results obtained show significant improvement.
Distributed Expansion Planning By Using Particle Swarm Optimization Method
Authors:   E&EE Department, Adichunchanagiri Institute of Technology, Chikkamagaluru, India, B Poshitha , Manoj Dr. Surekha ,   E&EE Department, Vidya Vikas institute of Engineering & Technology, Mysuru, India.
Published: September 2019

This paper exhibits a methodology for distribution expansion planning utilizing multi objective Particle Swarm Optimization (PSO). The Optimization objectives are power losses, Investment & Operating costs, Improve voltage profile. The PSO method has been verified by 30 real time nodal system. While planning the expansion and operation of distribution network, utilities have a complex combination of technical constraints, which must be considered together with the investment decisions on the behavior of the distribution system along the planning horizon.
Object Detection using Convolutional Neural Network in the Application of Supplementary Nutrition Value of Fruits
Authors:   Department of Information Technology, St. John College of Engineering and Management, Palghar, India., Chaudhari Anita , More Shraddha ,   Department of Information Technology, St. John College of Engineering and Management, Palghar, India., Khane Sushil ,   Department of Information Technology, St. John College of Engineering and Management, Palghar, India., Mane Hemali ,   Department of Information Technology, St. John College of Engineering and Management, Palghar, India., Kamble Pravin ,   Department of Information Technology, St. John College of Engineering and Management, Palghar, India.
Published: September 2019

Object image detection is unique most auspicious claims of visual object recognition, since it will help to estimate nutrition calories and improve commons ingestion habits. The food gives nutrition to our body to provide information to function properly. If we will not get the precise data our metabolic progressions grieve and our fitness decays which cause various health issues. In brief, nutrition we take totally central to our health. Researchers now believe that these difficulties are partly connected to the nourishment. While they used to have faith in that diseases-such as diabetes, obesity, heart disease, and certain cancers were triggered by a single gene mutation, they are now generally accrediting these situations to a system of living dysfunction. The project aim is to develop an application for estimating food calories and improve people's consumption conducts for fitness. It provides the users, patients with the convenient solutions for food intake.
Taxonomy of Community Detection over Social Media
Authors:   Research Scholar, Department of Computer Science and Engineering, Barkatullah University Institute of Technology (BUIT), Bhopal, M.P., India, Shende Smita , Singh Dr. Divakar ,   Assistant Professor, Department of Computer Science and Engineering, Barkatullah University Institute of Technology (BUIT), Bhopal, M.P., India.
Published: September 2019

Advancements in web technologies in conjunction with the advent of social media facilitate online users to share contents and interact on a shared platform. Social media mining allows users to visualize, evaluate, analyze, and extract meaningful patterns and trends over the social network. Numerous methods and algorithms have been presented for the massive investigation of social media data. Community detection over social media is the most attracting field of interest for researchers in the area of social media mining. Community detection is a process of identifying densely connected network nodes and forming a group or community based on the density of interconnection among them. Detection of such communities is very crucial for a variety of applications in order to analyze the social network. This paper provides a brief introduction of social media, social media mining, and highlights prominent and recent research works done in the field of community detection. The paper presents the taxonomy of various algorithms and approaches for community detection over social media. The paper also includes in-depth details of extent community detection methods devised in the literature to detect communities over social media.
Evaluate Compressive Strength of Geopolymer by Using Different Fibers and Curing Conditions
Authors:   Assistant Professor, Department of Civil Engineering, Vignan’s institute, Jagadeeswari Kalla , Srinivas K. ,   Assistant Professor, Department of Civil Engineering, Vignan’s institute, Padmakar Mr. M. ,   Assistant Professor, Department of Civil Engineering, Vignan’s institute, Phanindra R Hemasri ,   M.Tech, Structural Engineering , JNTU Kakinada University
Published: September 2019

Day by day conservatory emissions is increases on earth. In manufacture of Portland cement(PC), obliquely we are escalating the carbon dioxide in atmosphere by the invention of PC.. Industrial by-products such as fly ash(FA), ground granulated blast furnace slag(GGBS), rice husk, bagasse, etc. are mainly used in manufacturing industry because these resources contain good bonding assets, amplified stability and decreased the porosity. evaluate to PC these assets are inexpensively good. Auxiliary by means of these manufacturing by products we are eventually lessening the carbon dioxide. PC with the manufacturing by products such as FA, bagasse , GGBS, Rice Husk Ash, Metakaolin etc., In these materials GGBS, FA, bagasse are commonly used for bursting substitution of PC. match up to PC GGBS, FA, rice husk be as well offer privileged compressive strength results when activate by alkali with similar curing’s. This concrete is known as Geo polymer concrete(GPC). To prepare the GPC we require alkali solutions(AS) like NaOH and Na2SiO3. arrange the AS, by considering singular molarities of NaOH like 9M and 14M and singular concentrations of Na2SiO3 like 40%. get ready the AS of NaOH and Na2SiO3 discretely one hour before the mixing of GPC. dispose the cubes to find the mechanical properties such as compressive strength, and density of GPC. The specimens were tested after 28 days of special curing’s. To improve the properties of GPC, we are accumulation different fibers and go on it for 28 days of different curing conditions of GPC. finally we know the compressive strengths of different fibers and curing conditions of GPC
Career Plateau Different From Employee Obsolescence
Authors:   Research Scholar, Bharath Institute of Higher Education and Research, Chennai, India., Shakiladevi A.R. , Basariya S.Rabiyathul ,   Associate Professor & Research Supervisor, Dept of Commerce & Business Administration, Bharath Institute of Higher Education and Research, Chennai, India.
Published: September 2019

Employees are now ‘reaching plateaus earlier in their careers than did their predecessors – and for earlier than their own expectations. So it is important for organizations and individuals to prepare to cope with the phenomenon successfully, particularly when the signs of an impending plateau are observed’. The risk of obsolescence is less if organizations accept responsibility for employee development and if employees are prepared to invest time in their development. Most of the people who join a particular job hope that they will be promoted every year or two. For example, in typical IT companies, promotions do happen year after year, based on the ratings. These promotions are given to every individual who performs within acceptable limits. He joins as a trainee software engineer then he becomes permanent after a year then senior soft engineer and so on. This is usually coupled with salary hikes too. But all good things come to an end, this cycle too halts. There comes a period when due to some reasons, promotions do stop for a period known as the career plateau.
Patterns of Revenue Expenditure in Specified Bioenergy Generation Firms of Andhra Pradesh & Telangana State
Authors:   Research Scholar, Department Of Commerce & Management, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, Saadiq Ali Sayyad , Babu Dr.K.Sharath ,   Assistant Professor, Faculty of Mathematics, MatruSri Engineering College, Saidabad, Hyderabad, Ramesh S. ,   Research Scholar, Department of Commerce & Management, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, Pin – 522502, Assistant Professor, Department of MBA, Vijaya Engineering College, Amma Palem, Khammam, Reddy N. Pavan ,   Jira Developer, B2X Service Solution India Private Limited, Mumbai, Maharashtra, Student, Marri Laxman Reddy Institute of Technology & Management, Dundigal, Telangana, Divya Dr.K.Hema ,   Associate Professor, Department Of Commerce & Management, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh
Published: September 2019

Out of all renewable energy generation fields like solar, small hydro, wind and biomass energy sectors-biomass energy generation sector is not in a well organized condition almost in all the states of India. In this paper we tried to examine the revenue expenditure components to find its impact on the viability of selected firms. For this purpose we have used the statistical tools like mean, standard deviation and co-efficient of variation. The results have shown that the co-efficient of variation of Satyamaharshi Power Corporation Limited is higher than other two firms and from the analysis of individual components of revenue expenditure of three firms, it is notable that administration expenses has highest co-efficient of variation in Rithwik Power Projects Limited and financial & miscellaneous expenses has highest co-efficient of variation in rest of the two firms.
Development Of A New Genetic Algorithm For Solving Capacitated Vehicle Routing Problem In Short Time
Authors:   Dept. of Mechanical Engg, V.R. Siddhartha Engineering College, Vijayawada, 520007, India, Raju Vangipurapu Bapi , Rambabu Govada ,   Dept. of Mechanical Engg, Andhra University, Visakhapatnam, 530003, AP, India, Rao Kandukuri Narayana ,   Dept. of Mechanical Engg, Government Polytechnic College, AP, India
Published: September 2019

In this paper a new genetic algorithm is developed for solving capacitated vehicle routing problem (CVRP) in situations where demand is unknown till the beginning of the trip. In these situations it is not possible normal metaheuristics due to time constraints. The new method proposed uses a new genetic algorithm based on modified sweep algorithm that produces a solution with the least number of vehicles, in a relatively short amount of time. The objective of having least number of vehicles is achieved by loading the vehicles nearly to their full capacity, by skipping some of the customers. The reduction in processing time is achieved by restricting the number of chromosomes to just one. This method is tested on 3 sets of standard benchmark instances (A, M, and G) found in the literature. The results are compared with the results from normal metaheuristic method which produces reasonably accurate results. The results indicate that whenever the number of customers and number of vehicles are large the new genetic algorithm provides a much better solution in terms of the CPU time without much increase in total distance traveled. If time permits the output from this method can be further improved by using normal established metaheuristics to get better solution
Micro Grid Operational Issues And Challenges In Smart Grid Scenario While Heterogeneous Micro Level Generations Are Predominant
Authors:   School of Electrical Engineering, VIT University, Vellore, India., Ramalingeswar J T , Subramanian K. ,   School of Electrical Engineering, VIT University, Vellore, India.
Published: September 2019

Micro Grid operations are more dependent on and vulnerable to intermittent renewable energy sources (RES) integration along with other emerging trends like Plug in Electric Vehicles (PEVs) and advanced Energy Storage Systems (ESSs). With the advent of Smart Grid technologies, the micro grid operations are becoming more realistic and promising without much delays and inaccuracies in control actions. In this paper, we mainly focused on Micro Grid Energy Management System (EMS), synchronization, V and f control. A comprehensive review has been carried out to list out the current issues and challenges in a Smart Grid technology aided Micro Grid. The major issues in Micro Grid are mainly concerned with integration of intermittent distribution generation and while running in island mode of operation, the issues like V and f correction are more critical. Micro grid community helps in power sharing and stability cooperation among all micro grids, but at the same it should be capable of identifying when to isolate in case of any micro grid blackout. The role of power electronic converters in controlling the grid parameters while interfacing DGs are discussed through available literature.
Fifteen Level Cascaded H-Bridge Multilevel Inverter Fed Induction Motor
Authors:   PG scholar, EEE department, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, Telangana, India, Nagarjuna Anchula , Kumar Dr.T.Suresh ,   Professor, EEE department, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, Telangana, India., Reddy B.Yogeswara ,   PG Scholar, EEE Department, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, INDIA., Udaykiran M. ,   PG scholar, EEE department, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabaad, Telangana, India,
Published: September 2019

In power electronics, Multilevel Inverter (MLI) plays very important role. It has spectacular applications in the field of high power & medium voltage energy control. The simulation of “Fifteen Level Cascaded H-Bridge Multilevel Inverter (MLI) Fed Induction Motor” is studied in this paper. The MLI’s are used to get high magnitude output voltage with reduced harmonic distortion. The reduction of harmonic distortion and the purity of the output waveform when compared with five level and nine level multilevel inverters is seen in this paper.
Evaluation of Structural Systems for Industrial Dairy Farming Facilities
Authors:   Assoc. Prof. Civil Engineer, İzmir, Turkey., Arel Dr. Hasan Şahan , Çipoğlu Mehmet ,   MSc., Architect, İzmir, Turkey., Nouban Dr. Fatemeh ,   Assist. Prof. Civil Engineering Department, Near East University, Nicosia, North Cyprus, via Mersin10, Turkey.
Published: September 2019

This paper presents the assessment of conventional structural systems used for industrial dairy farming focusing on the cost and energy consumption. Various structural forms for industrial dairy farming were investigated considering dozen of structural models and materials. Eleven different structural systems were compared in terms of cost and energy consumption. Steel girders, steel columns, glued-laminated timber, reinforced concrete (RC) columns and steel trusses were used in this research as the structural components and materials. The SAP2000 software was used for the analysis of the modeled structures. The obtained results of the analyses demonstrated that the use of RC members or prefabricated concrete components is economically advantageous, while the use of glued-laminated timber was the least economical alternative. The highest cost was observed for a structural model fabricated with a conventional Gable steel frame and the lowest cost was observed for a structural model made of a 2-span twin mono-pitch Portal frames constructed with prefabricated RC beams and columns. However, the lowest energy consumption was observed for a structural model constructed with a single-span twin mono-pitch Portal frames constructed with RC columns and glued-laminated timber beams and the highest energy consumption was observed for the structural model fabricated with a conventional Gable steel frame, which had the highest cost.
Haar’ s Measure using Triangular Fuzzy Finite Topological Group
Authors:   Department of Mathematics, M.Kumarasamy College of Engineering, (Autonomous), Karur, Tamil Nadu, India,, Veeramalai G. , Ramesh Dr. P. ,   Dean and HOD, Department of Science and Humanities, M.Kumarasamy College of Engineering, (Autonomous), Karur, Tamil Nadu, India,
Published: September 2019

In this paper, A new approach is used to apply Haar’s measure theory to triangular fuzzy number theory for comprehending and generalizing the uniqueness of invariant measure when there are uncertainty and risk. If T ~ is a triangular fuzzy finite Topological group and X ~ is its subgroup, X ~ also being a triangular fuzzy number, then ) ~ ( (~) T x 
Unveiling Instances Of Participatory Planning In Urban Development
Authors:   Research Scholar, Amity School of Architecture and Planning, Amity University, Noida, Uttar Pradesh, India., Kapoor Anika , Singh Ekta ,   Professor Faculty of Architecture, Planning & Design, Amity University, Noida, Uttar Pradesh, India.
Published: September 2019

Fast pace of urbanization is often complimented with inefficient urban infrastructure, a mismatch between demand and supply of urban services and poor quality of life. These are few of the driving forces for planners to introduce grass-root level planning process as an approach to facilitate local urban governance. The purpose of the paper is to present a methodical review of literary instances on participatory planning and its successful implementation. The paper includes review of 98 articles and research works that embodies the development of the subject over time. The findings of the study are suggestive that local area planning as a subject has witnessed tremendous change since its inception in 18th century till date, in terms of topics covered and methodologies employed. The paper explicate that despite formal existence of participatory approach to planning since 18th century, the paradigm has not yet achieved its objectives in true sense. There are reported gaps in terms of stakeholder analysis, framework of comprehensive local area planning and its implementation, which offers opportunity to the researchers to explore the subject further.
Control Systems to Analyze the Sensory Data to Distinguish Between Different Cars on the Road
Authors:   Student, Bachelor of Technology, MGIT, Hyderabad, India, Chandra Adithya Kollipara Venkata , Rudraraju Neha ,   Student, Bachelor of Technology, MGIT, Hyderabad, India, Murthy Jagirdar Krishna ,   Student, Bachelor of Technology, MGIT, Hyderabad, India
Published: September 2019

self-driving car is actually an auto that may sensing its personal environment as well as searching without human input. Self-driving cars can recognize environments using a range of methods like Sensors, GPS and Cameras. Advanced control units decipher physical information to recognize proper navigating programs, and also difficulties and additionally relevant signs. In this newspaper, our experts discuss regarding the Self-driving cars possessing command physical bodies that are capable of examining physical records to distinguish between various cars when driving.
Job Recommendation System using Content and Collaborative Filtering based Techniques
Authors:   Department of Information Technology, Dharmsinh Desai University, Nadiad, India, Dhameliya Juhi , Desai Nikita ,   Department of Information Technology, Dharmsinh Desai University, Nadiad, India.
Published: September 2019

Internet based recruiting platforms decrease advertisement cost, but they suffer from information overload problem. The job recommendation systems (JRS) have achieved success in e-recruitment process but still they are not able to capture the complexity of matching between candidates’ desires and organizations’ requirements. Thus, we propose a hybrid JRS which combines recommendations of content-based filtering (CBF) and collaborative filtering (CF) to overcome their individual major shortcomings namely overspecialization and over-fitting. In proposed system, CBF model makes recommendations based on candidates’ skills identified from past jobs in which they have applied and CF model makes recommendations based on jobs in which similar users have applied and also those jobs in which that user has applied frequently together in very similar contexts using Word2Vec’s skip-gram model. We used k-Nearest Neighbors technique and Pearson Correlation Coefficient. The recall of our proposed model is found to be 63.97% on a data set which had nearly 1900+ jobs and 23,000 job applicants.
PENETAPAN KADAR VITAMIN C DENGAN SPEKTROFOTOMETRI UV-Vis PADA BERBAGAI VARIASI BUAH TOMAT
Authors: Dewi Asiska Permata
Published: September 2019

Tomato is a kind of fruit containing vitamin C. Vitamin C is needed for collagen production, bone and teeth formation, wound healing, and immunity to infection. This vitamin is dissolve in water and easy to be destroyed by light and high temperature, so the storage and condition of tomato fruits need special attention to keep an adequate vitamin C level it contained. This research aimed to determine the level of vitamin C in three kinds tomato fruits maturation degree: raw, half-mature, and mature. The quantification was conducted using spectrophotometry UV-Vis method with maximum wave length of 265 nm and absorbance of 0.475 (Y=0.0557X + 0.0789). The result showed that the average level of vitamin C in raw, half-mature, and mature tomato was 74.03666; 53.81333; and 43.56666 mg/100g, respectively. In conclusion, the level of vitamin C in raw tomato was the highest among all samples.
Wellbeing and Gender Equality for the Elderly in the Context of Arctic Sweden
Authors: Wennberg Lena
Published: September 2019

One theme of importance for gender equality in the Arctic region is the wellbeing of the aging population and how their needs are provided for in private and public spheres – by the family, local communities, the state and the market. In this article, the complexity of the public and private division of welfare provision and care of the elderly in the Swedish Arctic context is addressed and discussed in the light of national, regional and international policy and law. Norrbotten, the northernmost county in Sweden that is part of the Barents Euro-Arctic region, is taken as a frame of reference for critical reflection on wellbeing and gender equality for the ageing population in rural, depopulated and multicultural contexts and the need to develop alternative political and legal interventions that are better adjusted to meet the everyday needs in this specific setting.
Whose Gender Equality Counts?: The Case of Russian Migrant Couples in Norway
Authors: Kukarenko Natalia
Published: September 2019

The article addresses the problem of “normalizing” migrants within a nation state by means of a gender system. The example of Russian immigrants in Norway shows how crossing a physical border moves people across different gender systems. In this transition migrants (re-)negotiate their gender identities and understandings of gender equality. At the same time, trying to integrate into the host society, they problematize the normalizing power of gender systems functioning in a particular society. The article is arranged in three parts starting with an overview of Russian migrants in Norway as a group. The second part describes different gender systems, which Russian immigrant couples cross. The third part shows how Soviet, Post-Soviet and Norwegian gender systems affect the experiences and expectations of Russian migrants in Norway and how gender intersects with nationality and a nation-state gender system. In conclusion, the potential for changing a nation-state gender system and integrating diversity is discussed.
Dust Destruction in Nonradiative Shocks
Authors: Zhu H. , Slane P. , Raymond J. , Tian W. W.
Published: September 2019

Supernova remnant (SNR) shock waves are the main place where interstellar dust grains are destroyed. However, the dust destruction efficiency in nonradiative shocks is still not well known. One way to estimate the fraction of dust destroyed is to compare the difference between postshock gas abundances and preshock medium total abundances when the preshock elemental depletion factors are known. We compare the postshock gas abundances of 16 SNRs in the Large Magellanic Cloud (LMC) with the LMC interstellar medium abundances that we derived based on 69 slow-rotating early B-type stars. We find that, on average, ∼61% of Si-rich dust grains are destroyed in the shock, while the fraction of dust destroyed is only ∼40% for Fe-rich dust grains. This result supports the idea that the high depletion of Fe in the diffuse neutral medium is not caused by the resilience of Fe-rich grains but because of faster growth rate. This work also presents a potential way to constrain the chemical composition of interstellar dust.
Large Molecular Gas Reservoirs in Star-forming Cluster Galaxies
Authors: Cairns Joseph , Stroe Andra , Breuck Carlos De , Mroczkowski Tony , Clements David
Published: September 2019

We present CO (2−1) observations of 72 galaxies in the nearby, disturbed Antlia Cluster with the Atacama Pathfinder Experiment telescope. The galaxies in our sample are selected to span a wide range of stellar masses (108
M
⊙ ≲ M
⋆ ≲ 1010
M
⊙) and star formation rates (0.0005 M
⊙ yr−1 < SFR < 0.3 M
⊙ yr−1). Reaching a depth of 23 mJy in 50 km s−1 channels, we report a total CO detection rate of 37.5% and a CO detection rate of 86% for sources within 1 dex of the main sequence. We compare our sample with a similar sample of galaxies in the field, finding that, for a fixed stellar mass and SFR, galaxies in the Antlia Cluster have comparable molecular gas reservoirs to field galaxies. We find that ∼41% (11/27) of our CO detections display non-Gaussian CO (2−1) emission-line profiles, and a number of these sources display evidence of quenching in their optical images. We also find that the majority of our sample lies either just below or far below the main sequence of field galaxies, further hinting at potential ongoing quenching. We conclude that the Antlia Cluster represents an intermediate environment between fields and dense clusters, where the gentler intracluster medium (ICM) allows the cluster members to retain their reservoirs of molecular gas, but in which the disturbed ICM is just beginning to influence the member galaxies, resulting in high SFRs and possible ongoing quenching.
Effect of the Surface Roughness of Icy Grains on Molecular Oxygen Chemistry in Molecular Clouds
Authors: Maggiolo R. , Gibbons A. , Cessateur G. , Keyser J. De , Dhooghe F. , Gunell H. , Loreau J. , Mousis O. , Vaeck N.
Published: September 2019

Molecular cloud and protosolar nebula chemistry involves a strong interaction between the gas phase and the surface of icy grains. The exchanges between the gas phase and the solid phase depend not only on the adsorption and desorption rates but also on the geometry of the surface of the grains. Indeed, for sufficient levels of surface roughness, atoms and molecules have a significant probability to collide with the grain icy mantle several times before being potentially captured. In consequence, their net sticking probability may differ from their sticking probability for a single collision with the grain surface. We estimate the effectiveness of the recapture on uneven surfaces for the various desorption processes at play in astrophysical environments. We show that surface roughness has a significant effect on the desorption rates. We focus in particular on the production of O2 since unexpectedly large amounts of it, probably incorporated in the comet when it formed, have been detected in the coma of comet 67P by the Rosetta probe. Our results suggest that the higher escape probability of hydrogen compared to heavier species on rough surfaces can contribute to enhancing the production of O2 in the icy mantles of grains while keeping its abundance low in the gas phase and may significantly decrease the desorption probability of molecules involved in the O2 chemical network.
2003–2018 Monitoring of the Crab Nebula Polarization in Hard X-Rays with INTEGRAL SPI
Authors: Jourdain E. , Roques J.-P.
Published: September 2019

We analyzed 16 yr of observations dedicated to the Crab (pulsar + nebula) with the SPectrometer on International Gamma-Ray Astrophysics Laboratory instrument to investigate its polarization properties. We find that the source presents a substantially polarized emission (PF = 24%) in the hard X-ray domain, with the electric vector aligned with the pulsar spin axis, which is in agreement with other results at various wavelengths. The stability of the polarization characteristics with energy and over the 16 yr covered by the data is remarkable, completing the standard candle status of the source in the spectral domain. The polarization measurements imply that the synchrotron emission is the dominant mechanism of photon production from radio to hard X-rays. The high level of polarized emission points out the steadiness of the source, in particular, of the magnetic field configuration and geometry.
XMM-Newton Detection and Spectrum of the Second Fastest Spinning Pulsar PSR J0952−0607
Authors: Ho Wynn C. G. , Heinke Craig O. , Chugunov Andrey I.
Published: September 2019

With a spin frequency of 707 Hz, PSR J0952−0607 is the second fastest spinning pulsar known. It was discovered in radio by LOFAR in 2017 at an estimated distance of either 0.97 or 1.74 kpc and has a low-mass companion with a 6.42 hr orbital period. We report the discovery of the X-ray counterpart of PSR J0952−0607 using XMM-Newton. The X-ray spectra can be well-fit by a single power law (PL) model (Γ ≈ 2.5) or by a thermal plus PL model (

and Γ ≈ 1.4). We do not detect evidence of variability, such as that due to orbital modulation from pulsar wind and companion star interaction. Because of its fast spin rate, PSR J0952−0607 is a crucial source for understanding the r-mode instability, which can be an effective mechanism for producing gravitational waves. Using the high end of our measured surface temperature, we infer a neutron star core temperature of ∼107 K, which places PSR J0952−0607 within the window for the r-mode to be unstable unless an effect such as superfluid mutual friction damps the fluid oscillation. The measured luminosity limits the dimensionless r-mode amplitude to be less than ∼1 × 10−9.
Magnetic Structures at the Boundary of the Closed Corona: A Semi-automated Study of S-Web Morphology
Authors: Scott Roger B. , Pontin David I. , Wyper Peter F.
Published: September 2019

Interchange reconnection is thought to play an important role in driving the dynamics of the slow solar wind. To understand the details of this process, it is important to catalog the various magnetic structures that are present at the boundary between open and closed magnetic flux. To this end we have developed a numerical method for partitioning the coronal volume into individual flux domains using volume segmentation along layers of high magnetic squashing degree (Q). Our publicly available implementation of this method is able to identify the different magnetic structures within a coronal magnetic field model that define the open-closed boundary and comprise the so-called Separatrix-Web (S-Web). With this we test previous predictions of how different configurations of high-Q arcs within the S-Web are related to coronal magnetic field structures. Here we present our findings from a survey of 11 different potential field source surface models, spanning from 2008 to 2017, which offer a representative sample of the coronal magnetic field across nearly a complete solar cycle. Two key findings of our analysis are that (i) “vertex” structures—where arcs of the S-Web meet away from the heliospheric current sheet—are associated with underlying magnetic dome structures, and (ii) that any given arc of the S-Web is almost equally as likely to be formed by a narrow corridor of open flux (corresponding to a hyperbolic flux tube) as by the separatrix surface of a magnetic null. Together, these findings highlight the importance of a variety of topological configurations for future studies of interchange reconnection and the acceleration of the solar wind.
Accounting for Correlations When Fitting Extra Cosmological Parameters
Authors: Huang Y. , Addison G. E. , Bennett C. L.
Published: September 2019

Current cosmological tensions motivate investigating extensions to the standard Λ cold dark matter (ΛCDM) model. Additional model parameters are typically varied one or two at a time, in a series of separate tests. The purpose of this paper is to highlight that information is lost by not also examining the correlations between these additional parameters, which arise when their effects on model predictions are similar even if the parameters are not varied simultaneously. We show how these correlations can be quantified with simulations and Markov Chain Monte Carlo methods. As an example, we assume that ΛCDM is the true underlying model, and calculate the correlations expected between the phenomenological lensing amplitude parameter, A

L
, the running of the spectral index, n
run, and the primordial helium mass fraction, Y

P
, when these parameters are varied one at a time along with the ΛCDM parameters in fits to the Planck 2015 temperature power spectrum. These correlations are not small, ranging from 0.31 (A

L
−n
run) to −0.93 (n
run–Y

P
). We find that the values of these three parameters from the Planck data are consistent with ΛCDM expectations within 0.9σ when the correlations are accounted for. This does not explain the 1.8–2.7σ
Planck preference for A

L
 > 1, but provides an additional ΛCDM consistency test. For example, if A

L
 > 1 was a symptom of an underlying systematic error or some real but unknown physical effect that also produced spurious correlations with n
run or Y

P
our test might have revealed this. We recommend that future cosmological analyses examine correlations between additional model parameters in addition to investigating them separately, one a time.
Comparison of Salivary Cortisol Level in Type 2 Diabetic Patients and Pre-Diabetics with Healthy People
Authors: Salehi Maedeh , Mesgarani Abbas , Karimipour Soosan , Pasha Shaghayegh Zahed , Kashi Zahra , Abedian Saeed , Mousazadeh Mahmoud , Molania Tahereh
Published: September 2019

BACKGROUND: Cortisol is one of the important enzymes of saliva. Control of this hormone is an effective way to adjust the glucose level in diabetic patients.
AIM: The aim of this research is to compare the salivary cortisol level in type 2 diabetic patients and pre-diabetics with healthy people.
METHODS: In this case-control study (2018), the unstimulated salivary samples were collected from 44 patients with type 2 diabetes, 44 pre-diabetic people (case group), and 44 healthy subjects (control group), matched for age and gender. The samples were transferred to the laboratory, and salivary cortisol level was measured using ELISA. Data were analysed using SPSS 22 and Chi 2 tests.
RESULTS: The mean salivary cortisol level in type 2 diabetic patients was 3.14 ± 1.17, in pre-diabetic cases was 1.83 ± 0.68, and in healthy controls was 0.86 ± 0.43 (P < 0.001). The mean DMFT in type 2 diabetic patients was 19.6 ± 6.5, in the pre-diabetic group was 13.43 ± 4.5, and in healthy controls was 9.38 ± 3.72 (P < 0.001).
CONCLUSION: With regards to the results, salivary cortisol level in type 2 diabetic patients is more than pre-diabetic people, and in pre-diabetic people is more than healthy people. Also, there was a significant relation between salivary cortisol level and DMFT index.
Effectiveness of the Elderly Caring Model as an Intervention to Prevent the Neglect of the Elderly in the Family
Authors: Ezalina Ezalina , Machmud Rizanda , Effendi Nusyrwan , Maputra Yantri
Published: September 2019

BACKGROUND: The increasing number of older people is racing against diseases and problems that accompany the elderly, so it is very important to check the care of the elderly. Family concern as a caregiver is needed in carrying out care for the elderly to ensure that the elderly are not neglected.
AIM: The study aims to determine the effectiveness of the elderly caring model as an intervention to prevent the neglect of the elderly in the family.
MATERIAL AND METHODS: The quasi-experimental design with the pre-control group non-equivalent test post-test was the provision of training in the elderly caring model by comparing 2 groups namely the intervention group using the module and control group without using the module. The sample is a family that has an elderly (age ≥ 60 years) who are the main caregivers of the elderly with a total of 50 people each for each group taken by multistage cluster sampling. Data collection through questionnaires to determine the variables of family older people about family support, family health assignments, social relations, and elderly social activities and preventive behavior of elderly neglect. Data analysis used the independent sample t-test and general linear model report measure (GLM-RM) test for repeated measurements.
RESULTS: The results showed that there was an influence of the caring elderly model on increasing family support in the elderly, increasing family health duties on the elderly towards increasing social relations and social activities in the elderly and neglecting the neglect behaviour of the elderly in the family (p-value = 0,000). Improve the behaviour of preventing neglect of the elderly in the family compared to groups that do not use modules where the value of p = 0,000.
CONCLUSION: It can be concluded that the elderly caring model effectively prevents my employees from neglecting the elderly in the family.
Predictive Value of Hematologic Indices in the Diagnosis of Acute Coronary Syndrome
Authors: Luke Kevin , Purwanto Bambang , Herawati Lilik , Jibril Al-Farabi Makhyan , Her Oktaviono Yudi
Published: September 2019

BACKGROUND: Distinguishing between Acute Coronary Syndrom (ACS) and SCAD (Stable Coronary Artery Disease) requires advanced laboratory instrument and electrocardiogram. However, their availabilities in primary care settings in developing countries are limited. Hematologic changes usually occur in the ACS patient and might be valuable to distinguish ACS from SCAD.
AIM: This study compares the hematologic indices between ACS and SCAD patients and analyses its predictive value for ACS.
MATERIAL AND METHODS: A total of 191 patients (79 ACS and 112 SCAD) were enrolled in this study based on the inclusion criteria. Patient’s characteristic, hematologic indices on admission, and the final diagnosis were obtained from medical records. Statistical analyses were done using SPSS 23.0.
RESULTS: In this research MCHC value (33.40 vs. 32.80 g/dL; p < 0.05); WBC (11.16 vs. 7.40 x109/L; p < 0.001); NLR (6.29 vs. 2.18; p < 0.001); and PLR (173.88 vs 122.46; p < 0.001) were significantly higher in ACS compared to SCAD patients. While MPV (6.40 vs. 10.00 fL; p < 0.001) was significantly lower in ACS patients. ROC curve analysis showed MPV had the highest AUC (95%) for ACS diagnosis with an optimum cut-off point at ≤ 8.35 fL (sensitivity 93.6% and specificity 97.3%).
CONCLUSION: There was a significant difference between hematologic indices between ACS and SCAD patients. MPV is the best indices to distinguish ACS.
Phylogeographic patterns and demographic history of Pomacea canaliculata and Pomacea maculata from different countries (Ampullariidae, Gastropoda, Mollusca)
Authors: Liu Xiongjun , Zhou Yu , Ouyang Shan , Wu Xiaoping
Published: September 2019

Invasive species of Pomacea snails are of growing concern when it comes to the conservation of global biodiversity. Pomacea canaliculata has been listed among the world’s 100 worst invasive species. In this work, phylogeographic patterns and the demographic history of P. canaliculata and P. maculata from different countries were analyzed using mtDNA cytochrome c oxidase subunit-I (COI) sequences. The results showed that P. canaliculata and P. maculata had high genetic diversity, significant genetic differentiation, limited gene flow and stable population dynamics among different countries. Genetic diversity of P. canaliculata was higher than P. maculata. Our study will also provide important information for the effective prevention and control of the spread of Pomacea snails.
Vers la structuration d’un pôle anarcho-syndicaliste international, 1915-1921 : idées, rencontres, organisations
Authors: Guinchard François
Published: September 2019

À la lumière de publications récentes, cet article retrace le processus de constitution d’un mouvement « anarcho-syndicaliste », en repartant de tendances préexistantes, et en suivant l’évolution de cette expression, de son usage d’abord disqualifiant en moyen d’autodésignation. Il montre comment après 1917, dans le contexte d’une poussée révolutionnaire internationale sans précédent, et en réaction à la volonté d’hégémonie du léninisme, en Russie par la dictature et dans le monde à travers l’Internationale communiste, le mouvement syndicaliste révolutionnaire s’est polarisé, puis fracturé entre une partie se ralliant au marxisme tandis que l’autre précisait le caractère anti-autoritaire et fédéraliste de sa démarche.
La philosophie sociale comme théorie critique : ordre, pratique, sujet
Authors: Saar Martin , Genel Katia , Tain Jean
Published: September 2019

Proposant à la philosophie sociale une nouvelle détermination relationnelle de son objet, Michel Saar expose dans cet article, sous la forme d’une grille de concepts, l’armature théorique permettant d’analyser conjointement plusieurs sens du « social », différenciés dans des relations d’« ordre », de « pratiques », et de « sujets sociaux ». À ces relations correspondent respectivement trois formes de pouvoir relativement spécifiques, dont les possibilités d’altération et de transformation lient l’orientation critique de la philosophie sociale au projet d’une politique émancipatrice.
Réflexion sur la croissance économique chinoise sur le long terme : 1952-2014. Pour un passage de l’étude de la contribution des facteurs à l’analyse marxiste du taux de profit
Authors: Herrera Rémy , Long Zhiming
Published: September 2019

Cet article propose des éléments de réflexion méthodologique sur la croissance de l’économie chinoise dans la longue durée. À partir de données statistiques officielles chinoises retravaillées, nous reconstruisons des séries temporelles de stocks de capital physique, remontant au plus près de la date de formation de la République populaire et suivant les données jusqu’au derniers annuaires statistiques de 2016. À cette lumière nous examinons, pour en identifier les problèmes et les limites, le cadre néoclassique, puis la démarche plus originale inspirée des récents travaux de T. Piketty, d’analyse des contributions des facteurs de production à la croissance. Enfin, nous déplaçons la réflexion vers une approche plus hétérodoxe, et fructueuse, faisant appel à un indicateur de taux de profit pour analyser la croissance de l’économie chinoise.
Une forme d’expression des processus de contagion familiale : le mensonge
Authors: Chapellon Sébastien , Gontier Élisabeth
Published: September 2019

Le sujet dit « menteur » installe inconsciemment un mode de communication infraverbal avec ses interlocuteurs. Tout en falsifiant intentionnellement la réalité, il externalise un aspect authentique de sa réalité interne. Le recours à ce procédé de langage lui permet de transmettre sa propre expérience traumatique aux autres, en la leur faisant inconsciemment vivre, mettant fréquemment en scène une souffrance familiale non perceptible. Les jeunes menteurs se font notamment les porte-parole du caractère pathogène de certains phénomènes de contagion psychique qui assurent la cohésion du groupe familial. Ils cherchent à s’en extraire, faisant inconsciemment écho aux tabous familiaux qui polluent leur vie mentale. Le mensonge possède en cela une dimension messagère. L’exemple d’une adolescente ayant faussement accusé son père d’attouchements montre que cet « acte-parlé » constitue un effort du sujet pour repousser les autres hors de sa vie psychique, en vue de pallier le vécu d’annexion psychique que la proximité avec eux lui fait ressentir. Le thérapeute familial psychanalytique, en prenant en compte ce symptôme, peut accompagner les membres de la famille vers une réorganisation de leurs liens, en offrant la possibilité de dévoiler des secrets parentaux aliénants.
Les rencontres familiales médiatisées comme espace d’accompagnement psychologique
Authors: Aguesse-Viste Claudine
Published: September 2019

Dans le cadre du Foyer de l’enfance et de la famille du département du Tarn, l’auteur a observé que les enfants accueillis et leurs familles sont souvent pris dans des mécanismes de répétition transgénérationnelle invalidant gravement les relations intersubjectives. Lors des rencontres familiales, une médiatisation est proposée, voire imposée. Les psychologues de l’institution ont pensé un espace afin que puisse s’engager un travail d’accompagnement de ces familles permettant l’accès à un espace de scénarisation et de symbolisation et, de ce fait, un début de travail des traumatismes vécus et non élaborés.
Le refus de manger : une alliance commensale dans une famille
Authors: Tsamparli Anastasia
Published: September 2019

Le présent article propose une réflexion sur le concept de l’alliance commensale dans le cadre clinique d’une famille dont l’enfant refuse de manger. L’auteure met en lumière les effets de la mobilisation de la pulsion orale/anale dans la structuration des relations aussi bien intersubjectives que transgénérationnelles.
Dans le cyclone numérique
Authors: Léger Nicolas
Published: September 2019

Les élèves sont des enfants du numérique, mais n’en sont pas des usagers avertis. Et l’armada de matériels introduits à l’école ne trouve pas toujours ses équipages. Pourtant, l’enseignement des sciences et des humanités est une opportunité d’entrer dans un rapport intelligent au numérique.