bluuebunny/crossref_metadata_2025 huggingface dataset:
Extracting Subset of Relevant Features for Breast Cancer to Improve Accuracy of Classifier
Authors:   Research Scholar, Department of CSE,University College of Engineering,Osmania University, Hyderabad-500007, Telangana State, India, saturi Rajesh , Dara Dr. Raju ,   Professor,Dept., of Computer Science & Engineering,Vignana Bharathi Institute of Technology,Hyderabad, Telangana, Chand Prof.P. Prem ,   Professor, Department of CSE,University College of Engineering,Osmania University, Hyderabad-500007, Telangana State, India.
Published: September 2019

Data mining is the essential step which identifies hidden patterns from large repositories. Medical diagnosis became a major area of current research in data mining. Machine learning technique which use statistical methods to enable machine to improve with experiences and identify hidden patterns in data like regression algorithms, clustering algorithms, classification algorithms, neural networks(ANN,CNN,DL),recommender system algorithms, Apriori algorithms, page ranking algorithms, text search and NLP(natural language processing) etc.., but due to lack of evaluation, these algorithms are unsuccessful in finding a better classifier for images to estimate accuracy of classification in medical image processing. Classification is an supervised learning which predicts the future class for an unknown object. The main purpose is to identify an unknown class by consulting with the neighbor class characteristics. Clustering can be known as unsupervised learning as it label the objects based on the scale of similar characteristics without consulting its class label. Main principle of clustering is find the distance like nearby and faraway based on their similarities and dissimilarities and groups the objects and hence can be used to identify outliers (which are far away from from the object). Feature extraction, variable selection is a method of obtaining a subset of relevant characteristics from large dataset. Too many features of a class may affect the accuracy of classifier. Therefore, feature extraction technique can be used to eliminate irrelevant attributes and increases the accuracy of classifier. In this paper we performed an induction to increase the accuracy of classifier by applying mining techniques in WEKA tool. Breast Cancer dataset is chosen from learning repository to analyze and an experimental analysis was conducted with WEKA tool using training dataset by applying naïve bayes, bayesnet, and PART, ZeroR, J48 and Random Forest techniques on the Wisconsin's dataset on Breast cancer. Finally presented the best classifier where the accuracy is more
Modification of Existing Regenerative Braking System for Electric Vehicle
Authors:   Mechanical Engineering Department, Name, University of Petroleum and Energy Studies, Dehradun, India., Kumar P. Suresh , Joshi Swapnil ,   Automotive Design Engineering Student Mechanical Engineering Department, University of Petroleum and Energy Studies, Dehradun, India., Kumari N. Prasanthi ,   Electronics and communications Engineering Department, University of Petroleum and Energy Studies, Dehradun, India., Nair Sathyajit ,   M. Tech Rotating Equipment, Student Mechanical Engineering Department, University of Petroleum and Energy Studies, Dehradun, India., Chatterjee Suman ,   M. Tech Rotating Equipment, Student Mechanical Engineering Department, University of Petroleum and Energy Studies, Dehradun, India.
Published: September 2019

Zero emissions producing and propel the vehicle wheels with own battery energy possible only by Electric vehicles. Energy conversion progression completes with little amount of heat lost only. These advantages influences internationally made the electrical vehicle as the new generation transport for the automobile engineering. Electric vehicles incorporated with regenerative braking system. However, electrical automobile on a solitary charge assortment meaningfully less than the motorized automobile. By this system, reuse energy about on fifth of the energy generally lost through put on the brakes. Lack of a serious impact on the development and popularization of electric vehicle, to overcome this hurdle by involving principle of energy regaining method in design of electric mobility operative manner. The mechanism of electric motor’s braking method encompassing converts parts of kinetic dynamisms of automobile as electric power while braking. This electric power passes to the battery for further battery charges and electric mobility mileage increases compared to conventional engines. When driving in decelerating the inertia of the vehicle wheels through the transmission of energy to pass through to the motor, to control electrical engineering with the generating electricity a way work refreshes for power battery and achieve the regeneration of braking energy. The power developed in the course of the motor braking torque remain used over transmission of the steering wheel brake, consequential in braking power. The innovative regenerative braking with kinetic energy regenerative system (KERS) saved more energy than normal regenerative braking. The life of the KERS more than the steering wheel brake system. The KERS and normal regenerative pressure is 11.94% and 4.95% respectively, Hence, KERS system more efficient than normal regenerative system
An Ideal Technique for Decision-Making Problems for Uncertain Data and Its Application In Medical Science
Authors:   Department of Information Technology, JSS Academy of Technical Education,, Noida, India., Arora Dr. Meena
Published: September 2019

For representing and manipulating uncertain information like fuzzy, incomplete, inconsistent or imprecise, Neutrosophic relation database model is a more general platform, in the human decision-making process. Neutrosophic sets can easily handle real world problems. A new correlation method is introduced in this paper to construct similarity measure, by which decision making problem that exist in real world situation can be easily handled in regard of multiple existing criteria’s or incomplete or inconsistent information. The selection of the best option of alternative can be done by ranking all the other options as per similarity measure depending on concept of similarity. Later in this paper, an explanatory example is given of the proposed method and the comparison results are also presented to show the effective output.. The application in certain domains of medical diagnosis problems having multiple criteria’s in decision making are also discussed in the end of the proposed method.
Using a Generalized Regression Neural Network Prediction Tool to Estimate Thermal Performance in A Heat Exchanger By using Triple Elliptical Leaf Angle Strips with Opposite Orientation and Same Direction
Authors:   Mechanical Engineering, Sri Sivani College of Engineering, Srikakulam, India., Rao J.Bala Bhaskara , Raju V. Ramachandra ,   Mechanical Engineering, Jawaharlal Nehru Technology University, Kakinada, India
Published: September 2019

In our day to day hectic schedule humans have got so adaptive to technology that tremendous pressure is built on researchers to produce better equipment with greater output & easier way of human usage. One among these is Heat exchanger which is a device for trading heat and providing comfortable environment either for humans or the equipment .This paper aims at finding a solution in improvement of the thermal performance of the heat exchanger by implementing a statistical tool derived from Artificial Neural Network. The name of the tool is GRNN. (Generalized Regression Neural Network) From a sparse data of inputs (Temperatures, Angle orientation & mass flow rates) the outputs of (outlet temperatures & drop in pressure) are found out using this tool. An experiment is also conducted to find the heat transfer rates and pressure drops. To enhance the heat transfer rate three elliptical shaped leaf strips are introduced in the tube with opposite orientation and same direction. The results obtained from both the sources are compared and the percentage of error is calculated.
The Influence of Marine Algae on the Mechanical Properties of Concrete.
Authors:   Assistant Professor Civil Engineering Department SRM Institute of Science and Technology, Chennai, India., Ramasubramani R. , V Shakthivel. ,   Pursuing B.Tech Civil Engineering at SRM Institute of Science and Technology, Chennai, India, Prabhu S. Manikanda ,   currently Assistant Professor in Civil Engineering Department at SRM Institute of Science and Technology, Chennai, India, Ramasamy Ganapathy ,   Assistant Professor in Civil Engineering Department at SRM Institute of Science and Technology, Chennai, India.
Published: September 2019

Concrete dependent on Portland cement is most generally utilized construction material on the planet, and its generation pursues a pattern of development. About 15% of the all-out concrete creation contains synthetic admixtures, which are chemicals added to concrete, mortar or grout at the moment of blending to change their properties, either in fresh or solidified state. Algae are photosynthetic amphibian plants that use inorganic supplements, for example, nitrogen and phosphorus. Around 71% of the world is encompassed by sea, the marine green growth naturally known as seaweeds are a differing gathering of photoautotrophic living beings of different shapes (filamentous, lace like, or plate like) that contain pigments, for example, chlorophyll, carotenoids, and xanthophyll's. It controls the substance response of Cement. It maintains a strategic distance from voids and decline porousness of the solid. To study the strength of marine brown algae concrete different percentages (5%, 10% &15%) of algae are added with cement content to determine the Compression strength , Split Tensile strength concrete ,Shrinkage test and Rapid chloride permeability test for M25, M35 & M40grades of concrete. The Slump of the marine algae concrete is increased as the percentage of Wet Marine Brown algae increases and decrease when compared with the conventional concrete and dry marine algae concrete. The concrete compressive strength is decreased with expanding 15 level of the Wet Marine Brown algae replacement to the conventional concrete and dry marine brown algae concrete. The Split Tensile strength was reduced by 15% Wet Marine Brown algae when compared with conventional concrete.
Performance Analysis of Routing Protocols over WSN under the constraints of Natural Hazards using Data Logger
Authors:   Research Scholar, Department of Computer Science & Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, India., Kaur Jaspreet , Bindal Dr. Amit ,   Assoc. Professor, Department of Computer Science & Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala .India,
Published: September 2019

For disasters management, utilization of Wireless Sensor Networks (WSNs) has got much consideration by specialists over the most recent years. Real-time data collection and data sharing can play a major role during emergency and rescue operations as well as use of data loggers can enhance the accuracy of the prediction regarding natural disasters. In this paper, a logger is introduced.
Monitoring and Training Stock Prediction System For Historical & Live Dataset using Lstm & Cnn
Authors:   Research Scholar Department of Information Technology Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, Maharashtra, India, Deora Omveer Singh , Jha Pawan ,   Research Scholars Department of Information Technology, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, Maharashtra, India, Patil Prof. S.T. Sawant ,   Assistant Professor Department of Information Technology, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, Maharashtra, India, Patil Prof. T.B. ,   Assistant Professor Department of Information Technology, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, Maharashtra, India, Joshi Dr. S. D. ,   Professor Department of Information Technology, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, Maharashtra, India
Published: September 2019

A country development and stability are directly associated with its economy and today’s economy is profoundly dependent on the Stock market. Stock market indexes are subject to continuous change with respect to time, a hype or fall in the stock market has a crucial role in deciding the investor’s profit. Due to the economical ups & down and rapid growth in profit from the stock market, there required a need of developing a software application which continuously monitor the stock index’s and a prediction algorithm which can predict the possible change in stock index as for where it can go in future. Prediction of stock market does not follow any rules or predefined guidelines, hence prediction of stock market is difficult to achieve and the data-set for stock market prediction is also non-linear in nature which requires an efficient approach to resolve the time-series dependency of non-linear data. In our proposed system we are using the LSTM (long short-term memory) for efficiently predicting the stock index on historical data and the sudden change in stock market due to number of un-controllable factors is analysed by CNN model. As per the noise in the data-set we are employing wavelet denoising technique. If any changes in stock index with more than 10% of its initial value is analysed by monitoring module, then the system will notify the user with the change and also aggregating the result of predicting algorithm on that specific stock. Using our model Moneypred the accuracy in stock prediction is more than 70%.
Image Preservation using Wavelet Based On Kronecker Mask, Birge - Massart And Parity Strategy
Authors:   Professor, Department of Computer Science, University of Madras, Chennai , India., Chithra Pl. , Tamilmathi A. Christoper ,   Research Scholar, Department of Computer science, University of Madras, Chennai , India.
Published: September 2019

Image carries more information about the ideas than text. Growth of social media, images has become the universal language because it is more interactive. Images are used in different fields like medical, multimedia, industries etc. When using the images, we need to find effective storage and transmission methods to reduce storage size and transmission time. Lossless and lossy are two ways to compress the image to reduce the storage and transmission time. The proposed method implements the concept of lossless image compression using the method of Kronecker delta notation, wavelet based on Birge-Massart strategy and parity strategy. This paper presents that enhancing the image by applying the Kronecker delta notation as the mask and applying the wavelet based on Birge-Massart strategy, finally applying the parity threshold to compress the image. The proposed method is compared the compression ratio (CR) with the existing lossless compression methods such as Birge – Massart without the enhanced method and Unimodal method. This proposed algorithm is very simple and more efficient to reduce the storage capacity and maintain the quality of an image than the existing lossless compression techniques. The experimental result shows that the Birge-Massart strategy combined with Kronecker mask and parity threshold produces the best CR than the simple Birge- Massart(without enhancement and threshold) strategy. This efficient method is proved by without loss of information of an original image with low MSE, high PSNR and high CR. An experimental result shows that the proposed algorithm achieved maximum CR of 146% on medical images and maximum CR of 19.2% on standard images than the existing methods.
Development of Smart Cities and Its Sustainability: A Smart City Framework
Authors:   Research Scholar, Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi-110025, India., Ansari Md. Shamsul Haque , Mehrotra Monica ,   Proferssor, Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi-110025, India.
Published: September 2019

Objective of the paper is to get analyze the scientific studies by focusing on smart city concepts and sustainability to understand better. For doing such thing, the study identifies the information about the different existing and recent technologies, various research, different models and various frameworks. The methodology used for this research is qualitative by an organized review of different literatures, which examines the important terminologies like, “Smart city”, “Urban Computing” and “Sustainability”, focusing on the sustainable development of smart cities. This review gives detailed information regarding the recent scientific piece of writing focusing variety of issues related to smart cities and sustainability. This review may provide a base to the researchers looking for surrounding information to explore more. The finding gives important insights for the scholars researching in the area under discussion, and managers are trying to apply those in their respective cities. In the last section we have proposed a three layered framework of smart cities which includes the supporting technologies, pillars of smart city and the society which gets benefitted.
Testing Complexity in Component Based Software Engineering
Authors:   Head, Department of Computer Science & Engineering, Indur Institute of Engineering & Technology, Siddipet, Telangana State, India., Reddy Dr. Jogannagari Malla , Prasad Dr. S.V.A.V. ,   Dean(R&D),Lingaya University, Faridabad, India., Ramulu Kothuri Parashu ,   Rayalaseema University, Kurnool, Andhara Pradesh, India.
Published: September 2019

The Component Based software development which reduces the time, budget and efforts compare to the traditional software development. The components are reusable, developed by third parties and available at Commercial-Of-The Self (COTS). Most recent technologies such embedded systems, mobile phones, control systems and other paradigms are developed with this concept. Software researchers should pay more attention on testing of Component Based technology. The software testing is the most commonly used technique for validating the product quality. It is something different from the traditional software development, due to the invisible source code and design make it very difficult to trace the faults. Software testing strategy is road map integrates test case design methods into well planned series of steps for successful construction of software. The selection right strategy at the right time will make the software product as robust. This paper highlights the various software testing challenges, difficulties, strategies and techniques in perspective of Component Based Software Development
Linkage Design and Optimisation of a Hexapod Walking Robot Used For Surveillance
Authors:   Department of Mechanical Engineering, M. S. Ramaiah Institute of Technology, Bangalore, India., K G Jaya Christiyan , G N Nikhil ,   Department of Mechanical Engineering, M. S. Ramaiah Institute of Technology, Bangalore, India.
Published: September 2019

The technological advancements at the global level have put in a large demand for walking robots in various industrial and domestic applications. The aim of the paper is to develop a Hexapod (robot with six legs) walking robot that is capable of performing basic movement, such as walking forward and backward, carry payloads and used as a surveillance device. A novel robot leg design has been created with Autodesk Fusion 360, linkage mechanisms of the robot leg is determined by using Linkage 2.0 software. Stress and displacement analysis was done in Autodesk fusion360 software in order to determine whether it can hold the self-weight of the robot and the desired payload to carry the surveillance purpose (i.e. medicine, water, blood etc.). Considering all the possibilities final optimized Hexapod robot design is created using Autodesk Fusion 360 software. Mainly, the undertaken design outline takes into account the fundamental features, such as basic structure, motion planning, payload and walking gait. Fabrication of Hexapod robot parts was completed using additive manufacturing technology FDM process.
Enhanced Decision Tree Algorithm for Discovering Intra and Inter Class Exceptions
Authors:   Dept. of Computer Science & Engineering, Guru Jambheshwar University of Sci. & Tech., Hisar, Haryana, India., Kumar Sunil , Ratnoo Saroj ,   Dept. of Computer Science & Engineering, Guru Jambheshwar University of Sci. & Tech., Hisar, Haryana, India., Vashishtha Jyoti ,   Dept. of Computer Science & Engineering, Guru Jambheshwar University of Sci. & Tech., Hisar, Haryana, India.
Published: September 2019

Decision tree algorithms, being accurate and comprehensible classifiers, have been one of the most widely used classifiers in data mining and machine learning. However, like many other classification algorithms, decision tree algorithms focus on extracting patterns with high generality and in the process, these ignore some rare but useful and interesting patterns that may exist in small disjuncts of data. Such extraordinary patterns with low support and high confidence capture very specific but exceptional behavior present in data. This paper proposes a novel Enhanced Decision Tree Algorithm for Discovering Intra and Inter-class Exceptions (EDTADE). Intra-class exceptions cover objects of unique interest within a class whereas inter-class exceptions capture rare conditions due to which we are forced shift the class of few unusual objects. For instance, whales and bats are examples of intra-class exceptions since these have unique characteristics within the class of mammals. Further, most of the birds are flying creatures, but the rare birds, like penguin and ostrich fall in the category of no flying birds. Here, penguin and ostrich are inter-class exceptions. In fact, without knowing about such exceptional patterns, our knowledge about a domain is incomplete. We have enhanced the decision tree algorithm by defining a framework for capturing intra and inter-class exceptions at leaf nodes of a decision tree. The proposed algorithm (EDTADE) is applied to many datasets from UCI Machine Learning Repository. The results show that the EDTADE has been successful in discovering many intra and inter-class exceptions. The decision tree augmented with intra and inter-class exceptions are more accurate, comprehensible as well as interesting since these provide additional knowledge in the form of exceptional patterns that deviate from the general rules discovered for classification.
The Evaluation of Efficiency Of Different Types of Fuel for Proton Car
Authors:   Faculty of Electrical & Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, MALAYSIA., Samsudin Adam , Mukmin Muhammad Amirun ,   Faculty of Mechanical & Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, MALAYSIA., Azmi Ezzatul Farhain ,   Faculty of Mechanical & Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, MALAYSIA., Abidin Amar Faiz Zainal ,   Faculty of Electrical & Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, MALAYSIA., Hasim Nur Aiman Hanis ,   Faculty of Mechanical & Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, MALAYSIA.
Published: September 2019

This paper presents the overall view of the method for obtaining information on the use of fuels on the Proton Saga FLX 1.3 car. Proton Saga FLX 1.3 is used because the car is a car that is often used by Malaysians. This is based on its low price and has an ergonomic that is fit for Malaysians. To see which fuels is more effective on the Proton Saga FLX 1.3 car. This study conducted tests on three different roads. This is to identify whether friction on each road or additional force when mounting a hill contributes to the use of fuels. In addition, this study was repeated three times for more accurate data. The roads used are highways, domestic and hilly roads. The fuels used in this study is RON 95 and RON 97 fuels. This is because the fuels are the ideal fuel for Proton Saga cars. In addition, this fuel is often found in petrol stations in Malaysia. So it can help people in choosing the best fuel on their Proton Saga car.
Connected Edge Litact Domination in Graphs
Authors:   Scholar of JNTU Kakinada and Department of Mathematics, Vignan’s Foundation for Science Technology and Research , Vadlamudi, Guntur, Andhra Pradesh, India., Vani M. , Majeed Abdul ,   Department of Mathematics, Muffakham Jah college of Engineering and Technology, Hyderabad, Telangana, India., Devi J.Vasundhara ,   Department of Mathematics, GVP College of Engineering (A), Madhurawada,Visakhapatnam, A.P, India.
Published: September 2019

A subset of edges dominating in is connected edge dominating, if , the subgraph induced by is connected.The connected edge litact domination number , is .In This article we could able to bring up some interesting results on connected edge litact domination number of graph with its parameters and some domination parameters.
Agricultural Crisis and Farmers Suicides in India
Authors:   Department of Commerce, Vellore Institute of Technology, Vellore, India., Sravanth K. Reddy Sai , Sundaram Dr. N. ,   Department of Commerce, Vellore Institute of Technology, Vellore, India.
Published: September 2019

Agricultural sector is the main income for the rural people in India. It plays a significant role in their life. In India, small and marginal farmers account for 70%, according to the 2011 census of the Government of India. These small and marginal farmers took credit from banks and private money lenders. The non-repayment of credit led to an agricultural crisis and farmers’ suicide. This study focused on the reasons that caused such a disaster. The study rests on a review of the literature which was extracted from journals, reports, and newspapers from 2004 to 2019. The review identified the following reasons for the agricultural crisis and farmer’s suicides- poverty, indebtedness, crop failures, distress, lack of awareness on new technologies, inadequate debt, marketing of produce, the high interest of non-institutional credit, and depletion of water levels. The article concluded noting that -the government had to shift its focus from industries to agriculture and shift its agricultural policies from short-term to long- term ones.
Mobility Practices and Gender Contracts: Changes in Gender Relations in Coastal Areas of Norway's High North
Authors: Gerrard Siri
Published: September 2019

This article addresses the relationship between gender contracts and mobility practices in fishery communities of Norway’s High North, mainly Skarsvåg, Finnmark. By combining perspectives from gender research, anthropology and geography, the aim of this article is to contribute to a greater understanding of the interrelations between structural, material, and cultural changes in the context of a small-scale coastal fishing environment. My main question is whether changes in mobility practices, related to restructuring of the fisheries by means of a quota-system, Norway’s agreement with the European Union (EEA) and other changes in the Norwegian context, have had impacts on gender contracts and in what way. Emphasis lies on the period after World War II and until today. The data collection are based on a lifelong engagement on gender questions in fishery villages, reading newspapers and using registers as well as interviews and participant observation through several research projects.
Men's Intimate Partner Violence against Sami Women: A Swedish Blind Spot
Authors: Burman Monica
Published: September 2019

The aim of this article is to map the Swedish context regarding men’s intimate partner violence against Sami women and (1) discuss what knowledge and perspectives that dominates that context, and (2) reflect upon possible starting points for meeting the need for knowledge. The outline shows that men’s intimate partner violence against Sami women is a blind spot in Sweden. Important aspects, such as human rights and colonialism, are neglected in the policy discourse. At the most, the policy discourse includes abused Sami women in the problematic category “particular vulnerable groups”. The author argues for a need to problematize if and how responsibility is taken for addressing and responding to the violence and suggests a postcolonial and intersectional approach that centers around how the imbalance of power and control runs through abused women’s experiences. Finally, the author highlights how such an approach also is a matter of indigenous research ethics.
Measuring Perceived Crowding in the Marine Environment: Perspectives from a Mass Tourism "swim-With" Whale Shark Site in the Philippines
Authors: Ziegler Jackie A. , Araujo Gonzalo , Labaja Jessica , Legaspi Christine , Snow Sally , Ponzo Alessandro , Rollins Rick , Dearden Philip
Published: September 2019

Perceived crowding is an important measure in assessing the social impacts of tourism activities. The goal of this study was to determine if the method used to measure perceived crowding in the marine environment (numerical vs. visual approach, boat vs. swimmer crowding) affects the
crowding outcome and to apply the concept to a high-density marine wildlife tourism site, viewing whale sharks in Oslob, Philippines. The influence of various variables, including specialization, gender, nationality, swimmer behaviors, and proximity, was also tested to see if they affected
crowding levels. Results indicate that a visual approach is more accurate in measuring reported encounters and encounter norms, and that boat and swimmer crowding are not interchangeable. Boat crowding is a serious problem in Oslob (95.6% crowded). Specialization, nationality, and swimmer
behaviors and proximity all affected perceived crowding. Individuals who reported feeling crowded were more likely to perceive negative impacts of tourism activities on the local community, whale sharks, and wider environment. They also showed higher levels of support for management interventions
to limit the number of people and boats at the site and to better regulate or ban whale shark provisioning activities. This study provides important insights regarding how to measure perceived crowding in the marine environment and management implications for a mass tourism wildlife site experiencing
overcrowding.
Long-term entrapment and temperature-controlled-release of SF6 gas in metal–organic frameworks (MOFs)
Authors: Bunzen Hana , Kalytta-Mewes Andreas , van Wüllen Leo , Volkmer Dirk
Published: September 2019

In this work, a metal–organic framework (MOF), namely MFU-4, which is comprised of zinc cations and benzotriazolate ligands, was used to entrap SF6 gas molecules inside its pores, and thus a new scheme for long-term leakproof storage of dangerous gasses is demonstrated. The SF6 gas was introduced into the pores at an elevated gas pressure and temperature. Upon cooling down and release of the gas pressure, we discovered that the gas was well-trapped inside the pores and did not leak out – not even after two months of exposure to air at room temperature. The material was thoroughly analyzed before and after the loading as well as after given periods of time (1, 3, 7, 14 or 60 days) after the loading. The studies included powder X-ray diffraction measurements, thermogravimetric analysis, Fourier-transform infrared spectroscopy, scanning electron microscopy, 19F nuclear magnetic resonance spectroscopy and computational simulations. In addition, the possibility to release the gas guest by applying elevated temperature, vacuum and acid-induced framework decomposition was also investigated. The controlled gas release using elevated temperature has the additional benefit that the host MOF can be reused for further gas capture cycles.
A High Time-resolution Study of the Millisecond Pulsar J2241−5236 at Frequencies Below 300 MHz
Authors: Kaur D. , Bhat N. D. R. , Tremblay S. E. , Shannon R. M. , McSweeney S. J. , Ord S. M. , Beardsley A. P. , Crosse B. , Emrich D. , Franzen T. M. O. , Horsley L. , Johnston-Hollitt M. , Kaplan D. L. , Kenney D. , Morales M. F. , Pallot D. , Steele K. , Tingay S. J. , Trott C. M. , Walker M. , Wayth R. B. , Williams A. , Wu C.
Published: September 2019

One of the major challenges for pulsar timing array (PTA) experiments is the mitigation of the effects of the turbulent interstellar medium (ISM) from timing data. These can potentially lead to measurable delays and/or distortions in the pulse profiles and scale strongly with the inverse of the radio frequency. Low-frequency observations are therefore highly appealing for characterizing them. However, in order to achieve the necessary time resolution to resolve profile features of short-period millisecond pulsars, phase-coherent dedispersion is essential, especially at frequencies below 300 MHz. We present the lowest-frequency (80–220 MHz), coherently dedispersed detections of one of the most promising pulsars for current and future PTAs, PSR J2241–5236, using our new beamformer software for the MWA’s voltage capture system, which reconstructs the time series at a much higher time resolution of ∼1 μs by resynthesizing the recorded voltage data at 10 kHz/100 μs native resolutions. Our data reveal a dual-precursor type feature in the pulse profile that is either faint or absent in high-frequency observations from Parkes. The resultant high-fidelity detections have enabled dispersion measure determinations with very high precision, of the order of (2–6) × 10−6

, owing to the microsecond level timing achievable for this pulsar at the MWA’s low frequencies. This underscores the usefulness of low-frequency observations for probing the ISM toward PTA pulsars and informing optimal observing strategies for PTA experiments.
X-Ray Spectrum of RBS 315: Absorption or Intrinsic Curvature
Authors: Ben Haim Sivan , Behar Ehud , Mushotzky Richard F.
Published: September 2019

X-ray absorption of high-redshift quasars is enigmatic, because it remains unclear where in the universe the absorbing gas is. If absorption occurs near the high-z host, it could help us understand early stages of galaxy formation. If it is in the intergalactic medium (IGM), it provides a unique way to probe this elusive baryon component. We report on observations of one of the brightest X-ray sources at a high redshift, RBS 315 (z = 2.69). Despite several previous analyses, no definite conclusion as to the source of the curvature in its spectrum, whether absorption or intrinsic, could be reached. We present observations by XMM-Newton’s European Photon Imaging Camera (EPIC) and Reflection Grating Spectrometers (RGS) as well as NuSTAR and Swift’s X-Ray Telescope (XRT). The XMM-Newton spectra of this source are of unprecedented quality. A purely statistical analysis of the charge-coupled device (CCD) spectra yields no clear results—the spectrum is as likely to be photoelectrically absorbed as it is to be curved at the source, and no constraint on the position of the absorber can be obtained. Assuming absorption governs the spectral curvature, the lack of absorption lines in the grating spectra indicates the absorber is not well localized in redshift space, and could be dispersed over the cosmological scales of the IGM. Intrinsic curvature, however, can not be unambiguously ruled out.
Jellyfish: Ram Pressure Stripping As a Diagnostic Tool in Studies of Cluster Collisions∗
†
Authors: Ebeling Harald , Kalita Boris S.
Published: September 2019

Prompted by the discovery of A1758N_JFG1, a spectacular case of ram pressure stripping (RPS) in the galaxy cluster A1758N, we investigate the properties of other galaxies suspected to undergo RPS in this equal-mass, post-collision merger. Exploiting constraints derived from Hubble Space Telescope images and Keck longslit spectroscopy, our finding of apparent debris trails and dramatically enhanced star formation rates in an additional seven RPS candidates support the hypothesis that RPS, and hence rapid galaxy evolution in high-density environments, is intricately linked to cluster collisions. Unexpectedly, we find the vast majority of RPS candidates in A1758N to be moving toward us, and in a shared direction as projected on the plane of the sky. We hypothesize that this directional bias is the result of two successive events: (1) the quenching, during and after the first core passage, of star formation in galaxies with an approximately isotropic velocity distribution within the central region of the merger, and (2) RPS events triggered in late-type galaxies falling into the merging system along a filament, possibly enhanced by a shock front expanding into the outskirts of the southeastern subcluster. Since this explanation implies that the merger axis of A1758N must be significantly inclined with respect to the plane of the sky, our findings open the possibility of RPS events becoming important diagnostic tools to constrain the geometry of cluster collisions that, due to the orientation of the merger axis, lack the classic observational signatures of face-on mergers.
Prevalence of Pretreatment and Acquired HIV-1 Mutations Associated with Resistance to Lamivudine or Rilpivirine: A Systematic Review
Authors: Vannappagari Vani , Ragone Leigh , Henegar Cassidy , van Wyk Jean , Brown Dannae , Demarest James , Quercia Romina , Clair Marty St. , Underwood Mark , Gatell Jose M , de Ruiter Annemiek , Aboud Michael
Published: September 2019

Background

Pretreatment and acquired drug resistance mutations (DRMs) can limit antiretroviral therapy effectiveness.

Methods

We review prevalence of DRMs with resistance to nucleoside reverse transcriptase inhibitors (NRTIs) and non-nucleoside reverse transcriptase inhibitors (NNRTIs), focusing on lamivudine and rilpivirine, from 127 articles with >100,000 individuals with HIV-1 infection.

Results

Estimated global prevalence of pretreatment resistance to any NRTI was 4% and to any NNRTI was 6%. Most prevalent DRMs resistant to lamivudine or rilpivirine were at positions E138 (4%), V179 (1%) and M184 (1%). Estimated acquired DRM prevalence was 58% for any NRTIs and 67% for any NNRTIs, most frequently at positions M184 (58%) and Y181 (21%).

Conclusions

This review suggests low risk of lamivudine-or rilpivirine-resistant mutations in treatment-naive, HIV-1-infected individuals.
Observations on reproduction in captivity of the endemic long-tailed snake Philodryas chamissonis (Wiegmann, 1835) (Reptilia, Squamata, Dipsadidae) from Chile
Authors: Cabeza Osvaldo , Vargas Eugenio , Ibarra Carolina , Urra Felix
Published: September 2019

The long-tailed snakePhilodryas chamissonisis an oviparous rear-fanged species endemic to Chile, whose reproductive biology is currently based on anecdotic reports. The characteristics of the eggs, incubation time, and hatching are still unknown. This work describes for the first time the oviposition of 16 eggs by a female in captivity at Zoológico Nacional in Chile. After an incubation period of 59 days, seven neonates were born. We recorded data of biometry and ecdysis of these neonates for 9 months. In addition, a review about parameters of egg incubation and hatching forPhilodryasspecies is provided.
Additional data to the herpetofauna of Afghanistan
Authors: Jablonski Daniel , Regan John M. , Holzheuser Chace , Farooqi Javeed , Basit Abdul , Masroor Rafaqat
Published: September 2019

This study provides observation on 21 species of amphibians and reptiles obtained during various field trips in Afghanistan from 2007 to 2018. The core of this study is distributional data collected mostly by the second author of this paper that were systematically evaluated. Our records show a notable expansion of the current distribution range for several species and highlight the need for more extensive further sampling within the entire country. The first record of Cyrtopodion agamuroides (Nikolsky, 1900) complex for Afghanistan is presented here, increasing the number of herpetofauna in the country to 117 species.
A new species of Lycodon Boie, 1826 (Serpentes, Colubridae) from northern Vietnam
Authors: Janssen Helen Y. , Pham Cuong T. , Ngo Hanh Thi , Le Minh Duc , Nguyen Truong Q. , Ziegler Thomas
Published: September 2019

A new species of the genusLycodonis described from Cao Bang Province, Vietnam, based on three individuals with distinct differences in morphology and molecular data. The new species is differentiated from its congeners by a combination of the following characters: dorsal scales in 17-17-15 rows, smooth throughout; supralabials usually eight (rarely nine); infralabials ten; one elongated loreal on each side, in contact with the eye; precloacal plate single; ventral scales 212–218 (plus one or two preventral scales); subcaudals 90 or 91; maxillary teeth 13 or 14; dorsal surface of body with 28 or 29 light body bands; dorsal surface of tail with 13 cream bands, forming a distinct blotch in the vertebral region. Based on phylogenetic analyses of mitochondrial cytochromebsequence data, the new species is recovered as the sister species to a clade containingL. multizonatusandL. liuchengchaoiwith strong support from the Bayesian analysis. The new species is at least 7.5% divergent from other species within this clade in uncorrected pairwise distance calculated using a fragment of more than 1000 bp of the mitochondrial cytochromeb.This discovery increases the number ofLycodonspecies known from Vietnam to 16.
Taxonomic revision of the genus Hyperaulax Pilsbry, 1897 (Gastropoda, Stylommatophora, Odontostomidae)
Authors: Brincalepe Salvador Rodrigo , Cavallari Daniel C.
Published: September 2019

The genusHyperaulaxPilsbry, 1897 comprises two living species endemic to the oceanic Fernando de Noronha Archipelago, off north-eastern Brazil. They are currently allocated in two subgenera,Hyperaulaxs. str. andBonnaniusJousseaume, 1900, belonging to the family Odontostomidae. Herein we present a taxonomic revision of these species, assessing their familiar allocation within Orthalicoidea, offering updated diagnoses and descriptions, figuring the type materials and further relevant specimens, and providing barcoding DNA sequences. We conclude thatBonnaniusis a junior synonym ofHyperaulax, which is classified in Odontostomidae. The genus contains two valid species,H. ridleyiandH. ramagei, both endemic to Fernando de Noronha.
Découvrir les filons libertaires du socialisme
Authors: Kinna Ruth , Hamelin David , Lamy Jérôme
Published: September 2019

Ruth Kinna commence par identifier, chez Kropotkine et chez William Morris, deux figures contrastées de la « tension constructive » qui a lié thèses anarchistes et socialisme. Interrogée sur les transformations contemporaines de l’anarchisme en Grande-Bretagne, elle discute les rapports entre action directe et antiparlementarisme, et se demande si les anarchistes n’ont pas perdu le débat sur le rôle du parlementarisme au XXe siècle. Mais elle revient également sur ses travaux sur les socialismes utopiques pour suggérer les ressources, équivoques mais irremplaçables, de l’utopie.
Les possédées de Loudun
Authors: Mével Gérard
Published: September 2019

Loudun, ville sinistrée par une épidémie de peste, après les guerres de religion, connaît des phénomènes hallucinatoires collectifs qui ont conduit au sacrifice d’Urbain Grandier. Les « vierges folles » de Loudun ont permis une théorisation sur l’hystérie. Mais l’affaire des possédées de Loudun a aussi permis une théorisation sur la folie à deux ou folie communiquée. Curieusement, Loudun connaîtra un autre épisode, celui dit de la diabolique empoisonneuse Marie Besnard. Au-delà des bégaiements de l’histoire, nous rencontrons une autre contagion psychique, celle de la rumeur publique.
La parentification, un processus intrapsychique, intersubjectif et transubjectif
Authors: Blacioti Elena
Published: September 2019

L’auteur analyse la nature de l’empreinte du processus de parentification à l’âge adulte et l’élaboration de ce processus dans la psychothérapie psychanalytique. Il définit la parentification comme un processus intrapsychique, intersubjectif et transubjectif, caractérisé par un renversement générationnel, une dynamique familiale incestuelle, l’enfant devenant fantasmatiquement le parent de son propre parent. Une sollicitude extrême et un dévouement sans limite sont des caractéristiques du lien à l’autre, lorsque cet adulte, enfant parentifié, perçoit un infantile traumatique chez l’autre, comme il l’avait perçu chez son parent.
Introduction
Authors: Bujon Anne-Lorraine , de Mecquenem Isabelle
Published: September 2019

L’école est en crise. Il faut donc reposer la question de ses finalités : l’aventure du sens, dans la tension entre tradition et innovation, pour l’institution d’un monde commun.
À la recherche des rêveries de l’analyste
Authors: Busch Fred
Published: September 2019

Au cours des vingt dernières années, les analystes post-bioniens ont entrepris la tâche immense d’expliquer dans le détail le début du processus de métabolisation (rêverie) tel qu’il opère dans le psychisme de l’analyste en présence d’états mentaux en deçà de la représentation. Cette tentative audacieuse, qui a abouti à de nouvelles découvertes et à des possibilités accrues de compréhension des patients, semble avoir éclipsé les différences qui existent entre les post-bioniens les plus éminents quant à la façon dont ils perçoivent les formes de rêverie et dont ils en tirent le meilleur profit. Avec pour toile de fond la perspective bionienne, cet article explore trois de leurs approches et leurs différences selon que l’on suit les vues du premier Bion ou du dernier Bion. Les questions techniques associées à ces vues sont soulevées. Un exemple clinique est proposé pour montrer une façon d’utiliser la rêverie.
Hallucinose et rêverie : la douleur d’Alice et ses transformations dans le cabinet de consultation
Authors: Oldoini Maria Grazia
Published: September 2019

Cet article explore, d’un point de vue bionien et post-bionien, le champ de l’hallucinose et de ses transformations, et montre comment un certain type de travail analytique peut permettre au patient de passer d’un fonctionnement en hallucinose à un fonctionnement comprenant la symbolisation. L’auteur se réfère à des situations cliniques où les capacités symboliques sont clairement défectueuses. Elle utilise le terme « patient-Munch » pour parler de ces patients en filant la métaphore inspirée par la ressemblance entre la souffrance de Munch et celle dont ils font l’expérience. L’auteur se réfère au cas d’Alice pour développer ces idées. La patiente, confrontée à son incapacité à faire face à un certain type de douleur psychique, transforme cette douleur en hallucinose. L’analyste, qui doit faire face aux turbulences émotionnelles présentes dans le champ, va être engagée dans une mise en acte qui débouchera sur un état d’hallucinose somato-psychique pendant une séance. La douleur d’Alice pénètre dans la relation au moyen de la maladie du champ, elle arrive sur la scène à travers l’hallucinose de l’analyste qui, grâce à ses fonctions oniriques, réussit alors à mettre un cycle métabolique en route. L’article propose de considérer l’hallucinose comme un pont entre le fonctionnement psychotique et le fonctionnement onirique et souligne l’importance du fonctionnement onirique qui rend possible la transformation de la concrétude et des faits crus en vraies émotions.