bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of Low Frequency Suitable Fractional Order Differintegrators
Authors:   Faculty of Electronics and Communication Engineering, Jawaharlal Nehru Technological University Kakinada (JNTUK), Kakinada, Andhra Pradesh, India., Rajasekhar K. , Krishna B.T. ,   Faculty of Electronics and Communication Engineering, Jawaharlal Nehru Technological University Kakinada (JNTUK), Kakinada, Andhra Pradesh, India.
Published: August 2019

Design of low frequency applicable fractional order digital differentiators and integrators using direct discretization is the main objective of this paper. Model order reduction procedure is used to obtain the novel first order s-to-z transform. Continued fraction expansion (CFE) technique is used to discretize that transform. The design of one-half digital differintegrators based on proposed transforms will be compared with the well known existing first order transforms namely, Bi-linear and Al-Alaoui transforms. The efficacy of the designed methods presented interms of normalized magnitude error (NME). The designed fractional order digital filter coefficients are tabulated and all simulation results are carried out by using MATLAB software.
Bearing Fault Diagnosis using Support Vector Machine with Genetic Algorithms Based Optimization and K Fold Cross-Validation Method
Authors:   Department of Mechanical Engineering, Madhav Institute of Technology &Science, Gwalior (M.P.), India., Semil Rahul , Jaiswal Pratesh ,   Department of Mechanical Engineering, Madhav Institute of Technology &Science, Gwalior, (M.P.), India.
Published: August 2019

Moving component bearing is utilized to convey radial load and axial load or both just as. REB has nonlinear conduct make issue misalignment, surface waviness, fault happen at the inward race, external race, enclosure, ball or roller, so REB has a restricted life. Our concentration to evacuate fault diagnosis of bearing at the outer race has been investigating. For this purpose, REB vibration analysis is used. This paper present a support vector machine algorithm (SVM) approach with GA (Genetic algorithm) based optimization compare the result with SVM with cross-validation (CV) method along these lines, the information is processed correctly and an exact way. Time-domain Analysis, high pass and low pass filtering etc. used for feature extraction from vibration signal. Further, these feature extraction used as input to the SVM classifier. Support vector machine, a training given projected preparing information, the procedure yield perfect hyperplane. Feature extraction help to provides the actual condition of bearing. In this work, different signal processing techniques and process are used for fault diagnosis of bearing.
Automated Cow Manure Tiles Maker
Authors:   Computer Engineering Department, College of Engineering/ Bulacan State University City of Malolos Bulacan, Philippines, Jimenez Monaliza S.
Published: August 2019

Bricks are widely considered as one of the longest-lasting and strongest building material. Recently it is also used as aesthetic items that are commonly used on gardens and garages. On the other hand, cow manure has given a decent amount of attention in the recent times due to the various applications that may be utilized for the society. This research is a microcontroller-based machine which focuses on cow manure to garage tile conversion to provide an alternative process in the creation of said tiles. It is an applied research designed to utilize electronic and mechanical processes to manipulate the given input to a specific end product. The device’s design starts with two receptacles which are connected to separate grinder, which then inputted materials will be weighted onto a load cell. This in turn will pass through a mixer, which also accepts fluid input from three separate fluid reservoirs filled with differently colored fluids. The mixture then finally comes to a chosen designated molder. The entire process will be controlled by the user through LCD screen to display user options. After the process the device will output a designed and colored garage tile. This device was developed in the hopes of finding an alternative material other than clay and soil from making garden tiles and also in automating and further improving the time for manufacture. The speed of mixing and molding cow manure as well as the compressive strength of the produced tiles were considered and passed under the set standard. The evaluation results based on functionality, reliability, usability, efficiency and maintainability of the Automated Cow Manure Tiles Maker was 3.48 which signify a neutral acceptance of the respondents.
Functional Verification and the Physical Design of MIPS Architecture
Authors:   ECE , GMR Institute of Technology, GMR Nagar, Rajam, AP, India., Kumar B. Kiran , Kumar B. Anil ,   ECE , GMR Institute of Technology, GMR Nagar Rajam, AP, India.
Published: August 2019

The Microprocessor with no Interlocked Pipeline Stages (MIPS) is Reduced Instruction Set Computation (RISC) based architecture. The RISC is composed of a smallest set of instructions for increasing the speed processor. In this work, functional verification and physical design of the 32-bit 5-stage pipelined MIPS processor is proposed to be done. Here, the physical design is aimed to improve the area, power and speed performance of the design. Cadence SOC encounter is proposed to use for the physical design of the MIPS architecture. Also, this work explores the complete the ASIC flow from RTL to GDSII for MIPS processor using TSMC (Taiwan semiconductor Manufacture Company) 90nm technology. Finally, performance of the proposed implementation will be compared with the existing implementations.
Applications of Sequencing Batch Reactor in the Degradation of Dairy Industry Wastewater
Authors:   Assistant Professor, Department of Civil Engineering, Government College of Engineering, Dharmapuri, Tamil Nadu, India., Sivaprakasam S. , Balaji K. ,   Assistant Professor, Department of Civil Engineering , Anna University, Panruti Campus.Cuddalore District.Tamilnadu,India.
Published: August 2019

Biodegradation using sequencing batch reactor is one of the best method of treating the wastewater from the diary industries. Milk and milk based products has become most essential and important role in day-to-day life of human. The raw milk undergoes various processing in dairy industries to produce other milk based products. The large quantities of water and other chemicals are required in a diary plant. The volume of water used in a diary industry varies with respect to the availability of water, processing method and type of flow. The waste water after every step of processing is discharged into either the natural water bodies or to the environment which alters the ecological balance. This research work on the laboratory scale model is used for the analysis and treatment of dairy industry wastewater. The parameters studied are the biological oxygen demand, chemical oxygen demand, dissolved oxygen, total dissolved solids, suspended solids, pH and other substances present in the diary waste water. In this study, biodegradation of dairy wastewater was investigated under a sequencing batch reactor under aerobic conditions. It is performed on three different phases with variable reaction time to study the reductions in BOD, COD and other parameters respectively.
Tracing Software Development with UML—A Pragmatic Workflow
Authors:   Computer Science Program, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok, Thailand., Sophatsathit Nalinee
Published: August 2019

This paper proposes a software development tracing technique as a means for source of requirement verification. It is a pragmatic process since the methods employed in this research are well-known and practiced by software developers. The proposed technique helps trace any missing unimplemented or erroneously implemented requirements to insure their completeness. The underlying principles are governed by the proposed apriori algorithm and precedence relation that link all the cross-reference action items in the UML diagrams. These links are then recorded in a checklist that serves as the reference to requirement items and action sign-off confirmation. Thus, the contributions of this research work are two folds. First, the proposed tracing technique is simple, pragmatic, and inexpensive to learn and implement. Second, it helps reduce human errors caused by manual process that are often performed by different parties. The result statistics show that many errors incurred in the development process can be identified and rectified accordingly. Future work should focus on automating the proposed technique to be a development support tool for the benefits of software practitioners and technology.
Anemia Selection in Pregnant Women by using Random prediction (Rp) Classification Algorithm
Authors:   Research Scholar, Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India., M.D Dithy , Priya Dr. V Krishna ,   Professor and Head-PG, School of computing, Sri Ramakrishna College of Arts and Science, Coimbatore, India.
Published: August 2019

Anemia is the global hematological disorder that occurs in pregnancy. The feature selection of unknown logical knowledge from the large dataset is capable with data mining techniques. The paper evaluates anemia features classes of Non-anemic, Mild and Severe or moderate in real time large-dimensional dataset. In the previous works, Anemia diseases can be classified in a selection of approaches, based on the Artificial Neural Networks (ANN), Gausnominal Classification and VectNeighbour classification. In these previous studies attains the proper feature selection with classification accuracy but it takes large time to predict the feature selection. So the current paper to overcome the feature selection, computational time process presents an improved Median vector feature selection (IMVFS) algorithm and new RandomPrediction (RP) classification algorithm to predict the anemia disease classes (Mild, Not anemic and Severe and moderate) based on the data mining algorithms. The results have shown that the performance of the novel method is effective compared with our previous Classification of ANN, Gausnominal and VectNeighbour classification algorithms. As the Experimental results show that proposed RandomPrediction (RP) classification with (IMVFS) feature selection methods clearly outperform than our previous methods.
Self-Healing and Resilience of Complex Network
Authors:   Department of Computer Applications, Mepco Schlenk Engineering College, Sivakasi, India., Dhinnesh ADC Navin , T Sabapathi ,   Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India.
Published: August 2019

Currently mobile operators spend more money towards maintaining the mobile network in fsinding faults, which will degrade the cellular services. If any fault occurs in the network it must be healed automatically and made to work. This self-healing network gives solutions for fixing or helps in deciding the problems to be carried out autonomously with no human interference. Also the networks ability to recover after any failure is said to be resilience. This paper discusses the strategy of resilience of complex network, its principles and metrics of resilience. The main aim of self-healing and resilience is to heal the network automatically and the network must recover after any fault.
Experimentation & Analysis of Door Sag for Refrigerator
Authors:   M.Tech. in School of Mechanical Engineering, MIT-WPU, Pune, Maharashtra. (India), Kapadia Mitank Nikunj , Sonawane Prof. Pushkaraj D. ,   Assistant Professor with School of Mechanical Engineering, MIT-WPU, Pune, Maharashtra (India), Marhatta Mr. Arvind ,   PDC department as Engineering Manager at Whirlpool of India LTD., Pune, Maharashtra. (India)
Published: August 2019

This project is sponsored by the company Whirlpool of India Limited, situated at Ranjangaon MIDC, Pune. The company is going to launch a new model of refrigerator. In that model they have introduced VACCUM INSULATED PANEL (VIP) inside the product to reduce the heat load on compressor. The VIP of type A has been used which is having thickness of 32 mm. The product weight has been increased by 25% along with increased in door weight.ThefunctionofVIPistoprovidebetterinsulationthanany otherconventionalinsulationmaterials.DuetoadditionofVIPand increase in weight of product there will be effect on structure of refrigeration.Thepresentworkfocusesonstructural/Experimental testing of product, simulation of Freezer Compartment (FC) & Refrigerator Compartment (RC) door for door sag, analytical calculation of door sag & validating theresult.
Seismic Performance of a Tall Multi Storey Tower Connected by a large Podium
Authors:   PG student, Department of Civil Engineering, Manipal institute of technology, Manipal, Udupi, India., Geetha  , Kamath Dr. Kiran ,   Professor, Department of Civil Engineering, Manipal institute of technology, Manipal Academy of Higher education, Manipal, Udupi, India.
Published: August 2019

The present work focus on the effect of podium structure of single tower structure connected by a common podium at the interface level under seismic load. For this purpose, the simulation model with varying tower height and podium height is created in the ETABs and it is analyzed for the equivalent static and response spectrum method. In this study, the effect on the top displacement of the tower connected with podium structure under equivalent static and response spectrum method of analysis is observed. The backstay forces that are developed to resist the lateral overturning actions at the interface when the lateral horizontal forces are transferred from the tower to the podium are studied. The unfavorable effect of podium on the shear force distribution at and above the interface level of the structural wall is observed. The positioning of the tower on the podium structure is found to be the reason for the differential displacement between the structural walls.
Assessment of Efficiency of Array of Wave Energy Converters using Mike21-Bw Model, Near Bhagvati Bandar
Authors:   Civil Engineering Department, Bharati Vidyapeeth Deemed (to be) University college of Engineering, Pune, India., Mane Mrs. S. G. , Sohoni V. S. ,   Faculty and HOD of Civil Engineering Department, Bharati Vidyapeeth Deemed (to be) University College of Engineering, Pune India. University college of Engineering, Pune, India., Patil B. M. ,   Faculty of Civil Engineering Department, Bharati Vidyapeeth Deemed (to be) University College of Engineering, Pune India. University college of Engineering, Pune, India., Ranganath L. R. ,   Scientist D, Central Water and Power Research Station, Khadakwasla, Pune, India., Barve K. H. ,   Scientist B, Central Water and Power Research Station, Khadakwasla, Pune, India.
Published: August 2019

The world we live in is becoming more and more dependent on electrical energy and shortage of energy is bound to happen in the nearest future. India is the third largest in terms of power generation. Global warming and climate changes are the biggest challenge faced by mankind. Use of energy resources which are renewable and green that is producing low carbon emission is the need of the day. India has invested heavily on wind energy and solar energy. Ocean wave energy generation is renewable process with minimal carbon emission as well as less land requirement. India has a long coastline and has a tremendous scope for generation of wave energy along its coastline. Wave Energy Converter (WEC) is the device used in the wave energy extraction. For making the wave energy conversion feasible, the efficiency of a WEC is required to be assessed. For the design of WEC and assessment of its efficiency numerical models are very much useful giving the flexibility of assessing a number of alternatives at a relatively low cost. An attempt is made in this paper to estimate efficiency of an array of WECs using the Boussinesq Wave Model, namely the mathematical model MIKE21-BW. A site at Bhagvati Bandar, which is identified as hotspot for wave energy generation is considered for the installation of WECs. Numerical model experiments were carried out to find optimal configuration of an array of WECs and the findings are presented in this paper.
Establishment of Stiffness Matrix, Mass Matrix of Tapered Beam with I-Shaped Includesemi-Rigid Connection
Authors:   Hanoi Architectural University, 100000 Ha noi, Vietnam., Nguyen Hong Son , Pham Trung Thanh ,   Vietnam Institute for Bulding Science and Technology, 100000 Hanoi, Vietnam, Nguyen Quang Hung ,   Thuyloi University, Hanoi, Vietnam.
Published: August 2019

In the report, the optimal design problem of flat steel frame structure in the deformed state is considered, considering the softness of “the beam-column connection pinned” with “the moments-rotation angle relationship of the connection” is nonlinear, linearized by three straight lines, the material of the structure is elastic – plastic material in ideal state and considering the P-Delta effect. Establish and solve the problem of flat steel frame structure in the form of nonlinear planning and solve the problem thanks to MATLAB 6.0 programming language. Create a specialized program to optimize the steel frame structure, the results illustrate the effect of bonding softness and P-Delta effect on the weight of steel frame structure.
TPR, PPV and ROC based Performance Measurement and Optimization of Human Face Recognition of IoT Enabled Physical Location Monitoring
Authors:   Research Scholar, Amity University Mumbai, India, Asso. Prof, I²IT, Hinjawadi, India., Shitole Ajitkumar S. , Devare Dr. Manoj H. ,   HoI, AIIT, Amity University Mumbai, India.
Published: August 2019

This paper describes the construction of Internet of Things (IoT) enabled system which not only captures the sensors data in textual and numeric form but also performs live human face recognition to monitor physical location effectively. The dataset used in order to apply supervised machine learning algorithms is the combination of automatically captured live sensor data along with name of the human face recognized or unknown and additional manually introduced class label. Performance measurement of face recognition is done with the help of Decision Tree (DT), K-Nearest Neighbors (KNN), Naïve Bayes (NB) and Logistic Regression (LR). The results show that DT gives the best performance with respect to classifier’s accuracy; True Positive Rate, Positive Predictive Value and area under curve of Receiver Operating Characteristics (ROC) for face recognition prediction whether the recognized face is true or false.
Prediction of Stock Index of Tata Steel using Hybrid Machine Learning Based Optimization Techniques
Authors:   Department of Mathematics, Centurion University of Technology and Management, Odisha, India, Siddique Mohammed , Panda Debdulal ,   Department of Mathematics, KIIT Deemed to be University, Bhubaneswar, India
Published: August 2019

The trend of stock price prediction has always been in the focal point of analytical activity in financial domain for both the researchers and investors. Prediction with accuracy is very essential for improved investment decisions that imbibe minimum risk factors. Due to this, majority of investors depend upon that intelligent trading system which generates better forecasting results. As forecasting stock market price with high accuracy is quite a challenging task for the analysts, machine learning has been adopted as one of the popular techniques to predict future trends. Even if there are many recognized analytical time series analysis that are categorized either under soft computing or under conventional statistical techniques like fuzzy logic, artificial neural networks and genetic algorithms, researchers have been looking for more appropriate techniques which can exhibit improved results. In this paper, we developed different hybrid machine learning based prediction models and compared their efficiency. Dimension reduction techniques such as orthogonal forward selection (OFS) and kernel principal component analysis (KPCA) are used separately with support vector regression (SVR) and teaching learning based optimization (TLBO) to predict the stock price of Tata Steel. The performance of both the proposed approach is evaluated with 4143days daily transactional data of Tata steels stocks price, which was collected from Bombay Stock Exchange (BSE). We compared the results of both OFS-SVR-TLBO and KPCA-SVR-TLBO hybrid models and concludes that by incorporating KPCA is more practicable and performs better results than OFS.
Techniques for Data Extraction from Heterogeneous Sources with Data Security
Authors:   MCA, M S Ramaiah Institute of Technology, Bangalore, India., Kumari Kimmi , mrunalini Dr. M ,   MCA, M S Ramaiah Institute of Technology, Bangalore, India.
Published: August 2019

Data Extraction is the process of mining or fetching relevant information from unstructured data or the heterogeneous sources of data. This paper aims at mining data from three different sources such as online website, flat files and database and the extracted data are even analyzed in terms of precisions, recall and accuracy. In the environment of heterogeneous sources of data, data extraction is one of the crucial issue and therefore considering the present scenario, we can observe that the heterogeneity is expanding widespread. So this paper focus on the different sources for the data extraction and provides a single framework to perform the required tasks. In this paper, healthcare data are considered in order to show the processing starting from data extraction using three different sources to dividing them in to two clusters based on the thresholds value which has been calculated using cosine similarity and finally calculations of parameters like precisions, recall and accuracy for analyzation purpose. Fetching data online is the task in which we cannot fetch simple string from any website. The backend of each page is html and hence this paper focus on extracting that html of the page while mining data from any web server. The webpage contains a lot of html tags and all of these cannot be removed because they are complex tags which cannot be removed by regular expressions. But still 60% filtered data can be attained as demonstrated in this paper as most of the waste html will be removed. While filtration of the data, we should also note that the content containing Google APIs cannot be removed. So filtered data will contain the contents and tags which does not contain Google APIs. In order to provide data security while extraction, the connection string is being used to avoid tampering of data. This paper also focuses on one of the arguable concepts present in the generation of big data which is Data Lake. In originality, the origin about the idea of Data Lake appears from the field of business. An architectural approach which is specially designed in order to store all the data which are potentially relevant in a repository located centrally is referred to as Data Lake. The data which are stored in the central based repository are fetched from the sources belonging to public as well as enterprises and these data are further used for the purpose of organization, discovery of hidden facts, understanding of new concepts, analyzation of stored information etc. Many challenges and concerns related to privacy are faced during the adoption of Data Lake as it is a new concept which brings revolutionization. This paper also highlights some of the issues imposed by Data Lake.
The New Method of Analyzing the Continuous Curved Flat Bar Subject To Space Load
Authors:   Hanoi Architectural University, 100000 Ha noi, Vietnam, Nguyen Hong Son , Trung Le Dung Bao ,   Hanoi Architectural University, 100000 Ha noi, Vietnam, Tran Van Quan ,   University of Transport Technology, 100000 Hanoi, Vietnam, Nguyen Quang Hung ,   Thuyloi University, Hanoi, Vietnam.
Published: August 2019

The report presents a new method for linear analysis of continuous curved flat bar, subject to any load in space. This method is a combination of improving the expression of the load and displacement at the two ends of the curved bar element of the Transfer Matrix Method and Finite Element Method (TMMFEM), called the Matrix Method transfer improvements. The research results are to build math problems and programming with Matlab, verify with the results according to SAP2000 oftware and « Strength of materials » documents.
The Optimal Design Problem of a flat Steel Frame Structure with Soft Connection to the P - Delta Effect
Authors:   Hanoi Architectural University, 100000 Ha noi, Vietnam., Nguyen Hong Son , Tran Van Quan ,   University of Transport Technology, 100000 Hanoi, Vietnam, Nguyen Quang Hung ,   Thuyloi University, Hanoi, Vietnam.
Published: August 2019

In the report, the optimal design problem of flat steel frame structure in the deformed state is considered, considering the softness of “the beam-column connection pinned” with “the moments-rotation angle relationship of the connection” is nonlinear, linearized by three straight lines, the material of the structure is elastic – plastic material in ideal state and considering the P-Delta effect. Establish and solve the problem of flat steel frame structure in the form of nonlinear planning and solve the problem thanks to MATLAB 6.0 programming language. Create a specialized program to optimize the steel frame structure, the results illustrate the effect of bonding softness and P-Delta effect on the weight of steel frame structure.
Building the Stiffness Matrix and Load Vector of the Taper Elements with the I-Section That Considering the Effect of Shear Force and Stiffness of the Connection
Authors:   Hanoi Architectural University, 100000 Ha noi, Vietnam., Nguyen Hong Son , Pham Trung Thanh ,   Vietnam Institute for Bulding Science and Technology, 100000 Hanoi, Vietnam, Nguyen Quang Hung ,   Thuyloi University, Hanoi, Vietnam.
Published: August 2019

This paper shows how to build stiffness matrix and load vector by energy method for taper, I section elements includes the effects of shear and semi-rigid connection, use for structural analysis problem. Mathematical model of the section is exponential. Thereby, programming the structural analysis program for taper elements and verify results stiffness matrix, load vector as well as assessing the effects of shear and semi-rigid connection to force and displacement of this element.
Automatic Online Subjective Text Evaluation using Text Mining
Authors:   P.G. Student, Department of Computer Engineering Modern Education Society College of Engineering, Pune (M.H), India, Deotare Shweta , Khan Rubeena A. ,   Professor, Department of Computer Engineering, Modern Education Society College of Engineering, Pune (M.H), India
Published: August 2019

Semantic based text mining is essential in high dimensional data processing in today’s environment. In educational sector Question Answer (QA) evaluation has done using semantic as well as semantic analysis in many approaches. Numerous existing mechanisms have implemented using different machine learning algorithms. Semantic and semantic both works for evaluate the text data, but semantic approach should done same work with low time complexity. In this work system carried out automated text evaluation for online examination system with semi structured dataset. The system has categorized into two phases, NLP and Features base evaluation. Natural Language Processing (NLP) has used for preprocessing of data using tokenization, stop word removal, porter stemmer etc. Similarity technique has used for generate similarity score between test answer and train answer data. Artificial Neural Network (ANN) has used to generate the similarity score between two features vectors. Experimental analysis shows the how proposed system is better than some traditional approaches for semantic text evaluation
A vueltas de los orígenes argentinos de la Filosofía de la Liberación: Arturo Roig, lector de Astrada
Authors: Oviedo Gerardo Gabriel
Published: August 2019

El ensayo intenta una evaluación preliminar de la influencia de la obra de Carlos Astrada en los orígenes argentinos de la Filosofía de la Liberación. En vista de ese propósito, se toma como hilo conductor su recepción en el pensamiento de Arturo Roig. Sólo de manera secundaria el ensayo se ocupa de la recepción de Carlos Astrada en otros pares generacionales. Se sugiere que ese influjo es más determinante que lo que algunos de los fundadores del movimiento permiten detectar a partir de sus auto-exposiciones narrativas, como sucede por ejemplo con Enrique Dussel, uno de sus máximos referentes hasta el presente. La pertinencia del aporte de Roig funciona aquí como una suerte de contrapeso. El escrito presenta dos niveles de análisis, uno manifiesto y el otro menos explícito, retóricamente esbozado. En un primer plano –de mayor desarrollo–, se rastrean someramente las referencias de Arturo Roig al legado filosófico de Carlos Astrada. Pero en un nivel de implicancias hermenéuticas más profundas, se plantea la pregunta acerca de si la obra de Carlos Astrada, especialmente tras su viraje marxista –que va ahondándose desde 1952 hasta 1970 (año de su fallecimiento)–: a) pertenece por derecho propio a una modalidad lateral o alternativa de liberacionismo filosófico –aunque ajena a la red intelectual de la generación fundacional–; o bien b) se reduce, según un tópico cristalizado, a la de un predecesor carente de peso teórico y sólo destinado a ser relevado. Los envíos a la herencia de Astrada constatables en muchos escritos de Arturo Roig –que un estudio aparte hallaría incluso a nivel categorial– aportan indicios, como mínimo, para una consideración de (a).
Julio Cortázar, escritor, lector de Sartre
Authors: Chihaia Matei
Published: August 2019

Para el joven Cortázar, las obras de Jean-Paul Sartre tienden un puente entre filosofía y literatura: el profesor universitario que se reinventa como traductor para terminar su metamorfosis como escritor se apoya sobre este ejemplo. En Sartre no solamente encuentra un modelo de escritura, sino también de análisis: el cuento «Bestiario» se puede comprender en clave de una «psicoanálisis existencial» que estaba, en el momento de su creación, en el centro de la actividad de Cortázar.
Descripción clínico-epidemiologica de los pacientes con falla cardiaca aguda que consultan al servicio de urgencias
Authors: Senior Juan Manuel , Saldarriaga Clara , Rendón Jairo Alonso
Published: August 2019

Introducción: la falla cardiaca aguda es un motivo de consulta frecuente al servicio de urgencias, se desconoce el perfil clínico de los pacientes con falla cardiaca aguda en nuestro medio

Objetivo: describir las características epidemiológicas de los pacientes que ingresan al servicio de urgencias con diagnóstico de falla cardiaca aguda.

Metodología: estudio prospectivo, descriptivo.

Resultados: se incluyeron 106 pacientes con edad promedio de 62.4 años (16-94), el 52.8% eran hombres, las causas más frecuente de la falla cardiaca fueron: cardiopatía hipertensiva 45.2%, idiopática 31.1%, isquémica 14.1%, valvular 8.4%, viral y periparto 0.9%; 11.2% tenían un síndrome coronario agudo. La medicación que utilizaban al momento del ingreso incluyó digoxina en 26.4%, diuréticos 73%, inhibidores de la enzima convertidora de angiotensina 73.58%, betabloqueadores 32%, espironolactona 34.9% . La clase funcional según la clasificación de Nueva York previa al ingreso fue I en 1.8%, clase II 26.4,% clase III 57.5%, clase IV 14.3%. Se presentaron con edema pulmonar 10.37% (11), el valor promedio del péptido natriurético cerebral fue 2356 pg/ml. El 67.2% tenían fracción de expulsión menor a 40%. La duración promedio de la hospitalización fue de 11.42 (1-69).

Conclusiones: en comparación con los registros internacionales nuestra población tiene una edad promedio menor y con menor frecuencia son de etiología isquémica. Respecto al tratamiento existe un uso frecuente de inhibidores de la enzima convertidora de angiotensina y una subutilización de los betabloqueadores
Concordancia entre escalas Framingham ATP III, Score y ACC/AHA 2013 en una cohorte de pacientes en un hospital de cuarto nivel en el año 2015
Authors: Mancera-Rincón Pedro , Giral-Giraldo Herman Eduardo , Rizo-Tello Víctor Zein , Barrera Garavito Edgar Camilo
Published: August 2019

Introducción: identificar las personas sin enfermedad cardiovascular establecida con alto riesgo es el objetivo de la intervención primaria en prevención cardiovascular. En nuestro medio se han aplicado múltiples escalas de riesgo cardiovascular; sin embargo, en Colombia la única escala validada es la de Framingham.

Objetivo: estimar la concordancia entre las escalas Framingham ATP III, SCORE y ACC/ AHA 2013 para la predicción de riesgo cardiovascular en pacientes entre 40 y 75 años en una institución de cuarto nivel durante el año 2015.

Material y métodos: estudio de tipo observacional de corte transversal en pacientes de 40 - 75 años que asistieron durante el año 2015 en el servicio de chequeo general de un hospital de cuarto nivel, de 4783 individuos se tomó una muestra aleatorizada simple de 861, se calculó el riesgo cardiovascular con las escalas de Framingham, SCORE y AHA/ACC2013. Se describieron las variables cualitativas mediante distribuciones de frecuencias, las variables cuantitativas con medidas de tendencia central, se realizó un análisis bivariado con el coeficiente de correlación Kappa de Cohen considerándose como buena correlación >60.

Resultados: el cálculo del riesgo cardiovascular con cada una de las escalas encontró para alto riesgo AHA 2013 de 14.6%, Framingham 2.2% y SCORE con 1.1%. Para riesgo medio SCORE de 26.9%, AHA 2013 de 17.1% y Framingham de 14.4%, y riesgo bajo la estimación fue de Framingham de 83.3%, SCORE de 73% y AHA 2013 68.3%. El índice de concordancia de Kappa de Cohen para alto riesgo cardiovascular entre la escala Framingham modificada y SCORE se evidencia fuerza de concordancia moderada (Kappa: 0.47) al calcular este índice entre Framingham modificada y AHA 2013 la fuerza concordancia es débil (Kappa: 0.3497).

Conclusión: con los hallazgos del estudio se concluye que el comportamiento en cuanto a la estimación de riesgo de las escalas de SCORE y AHA 2013 no es concordante, por lo tanto, sus estimaciones no son intercambiables, tendiendo a sobreestimar o subestimar el riesgo
Hiperplasia linfoide nodular
Authors: Ñáñez Paz Juli´án , Maya Adrián , Calambas Fredy
Published: August 2019

La hiperplasia linfoide nodular es una patología poco frecuente, con mayor prevalencia en la población pediátrica; sin embargo, también afecta a los adultos. Se caracteriza por la presencia de múltiples nódulos pequeños, normalmente entre 2 y 10 mm de diámetro, distribuidos a lo largo del intestino delgado (más a menudo), estómago, intestino grueso o recto. Esta patología se ha documentado como respuesta a diferentes tipos de estímulo, por lo general infeccioso como VIH/ síndrome de inmunodeficiencia adquirida, giardiasis, infección por Helicobacter pylori, enfermedad celiaca y, en casos específicos, se acompaña de la enfermedad inflamatoria intestinal. El cuadro clínico no es específico y en muchas oportunidades es un hallazgo incidental, no tiene un tratamiento particular y se debe vigilar por el riesgo asociado a linfoma.
El deber de actualizar el currículo en medicina interna
Authors: Barrera-Garavito Édgar Camilo , Ruiz-Bedoya Custodio Alberto , Villar-Centeno Juan Carlos
Published: August 2019

Este manuscrito no tiene resumen
Complicaciones postoperatorias en pacientes con cirugía de válvula mitral
Authors: Monsalve Angela María , Zuluaga Gómez Mónica Fernanda , Betancur Pulgarín Carmen Luisa , Calvo Víctor Daniel
Published: August 2019

Objetivos: determinar las condiciones preoperatorias e intraoperatorias que aumentan el riesgo de morbilidad y mortalidad en el posoperatorio inmediato en los pacientes con cambio de válvula mitral, en la Clínica MAC San Rafael en el periodo del 2014 al 2017.

Material y métodos: se realizó un estudio de casos de tipo cuantitativo, observacional descriptivo, las variables cualitativas se presentaron en frecuencias absolutas, se realizó análisis univariado de los factores predictivos de complicaciones posoperatorias utilizando el riesgo relativo e intervalo de confianza a 95%. Para las variables cuantitativas continuas y discretas se utilizaron medidas de resumen y de tendencia central, como media, mediana, desviación estándar, rango, rango intercuartil.

Resultados: en el presente estudio se reportaron 24 casos de pacientes intervenidos de cambio de válvula mitral, la edad media de los pacientes fue de 58.7 ± 15.43 años; no se hallaron diferencias estadísticamente significativas en los promedios de edad entre hombres y mujeres (p= 0.99). La hipertensión arterial es una variable estadísticamente significativa p=0.03 IC.17 (1.29-223.13), por cada paciente 50 años con la misma patología.

Conclusiones: las variables preoperatorias como antecedentes de hipertensión arterial y una clase funcional NYHA III, son comunes en las complicaciones de los pacientes intervenidos sobre la válvula mitral. Además los pacientes que presentaron tiempos de clampeo y cirugía mayor que la media para otros estudios presentaron infección de sitio operatorio y septicemia
Complexation of chiral amines by resorcin[4]arene sulfonic acids in polar media – circular dichroism and diffusion studies of chirality transfer and solvent dependence
Authors: Setner Bartosz , Szumna Agnieszka
Published: August 2019

Directional self‐assembly of conformationally well-defined complexes in polar environment is still a major challenge in supramolecular chemistry. In the present study we demonstrate that resorcin[4]arene sulfonic acid (RSA) interacts with chiral amines (amino acid derivatives and aminocavitands) to form inclusion complexes and capsules based on electrostatic interactions. The complexes were characterized by circular dichroism and DOSY NMR spectroscopy. Chirality transfer from amines onto a resorcinarene skeleton was manifested by the appearance of signals in CD spectra and diastereotopic splitting in NMR spectra. The complexes proved to be thermodynamically stable in methanol, but DMSO and methanol/water mixtures were found to be highly disintegrative for these complexes. This result is quite non-intuitive and worth attention in the context of formation of supramolecular complexes in polar environment, for which DMSO is most often a first-choice solvent.
Safe and highly efficient adaptation of potentially explosive azide chemistry involved in the synthesis of Tamiflu using continuous flow technology
Authors: Sagandira Cloudius , Watts Paul
Published: August 2019

Tamiflu is one of the most effective anti-influenza drugs, which is currently manufactured by Hoffmann-La Roche from shikimic acid. Owing to its importance, more than 60 synthetic routes have been developed to date, however most of the synthetic routes utilise the potentially hazardous azide chemistry making them not green, thus not amenable to easy scale up. Consequently, this study exclusively demonstrated safe and efficient handling of potentially explosive azide chemistry involved in a proposed Tamiflu route by taking advantage of the continuous flow technology. The azide intermediates were safely synthesised in full conversions and >89 % isolated yields.
APOGEE/Kepler Overlap Yields Orbital Solutions for a Variety of Eclipsing Binaries
Authors: Cunningham Joni Marie Clark , Rawls Meredith L. , Windemuth Diana , Ali Aleezah , Jackiewicz Jason , Agol Eric , Stassun Keivan G.
Published: August 2019

Spectroscopic eclipsing binaries (SEBs) are fundamental benchmarks in stellar astrophysics and today are observed in breathtaking detail by missions like the Transiting Exoplanet Survey Satellite (TESS), Kepler, and Apache Point Observatory Galactic Evolution Experiment (APOGEE). We develop a methodology for simultaneous analysis of high-precision Kepler light curves and high-resolution near-infrared spectra from APOGEE and present orbital solutions and evolutionary histories for a subset of SEBs within this overlap. Radial velocities extracted from APOGEE spectra using the broadening function (BF) technique are combined with Kepler light curves and to yield binary orbital solutions. The BF approach yields more precise radial velocities than the standard cross-correlation function, which in turn yields more precise orbital parameters and enables the identification of tertiary stars. The orbital periods of these seven SEBs range from 4 to 40 days. Four of the systems (KIC 5285607, KIC 6864859, KIC 6778289, and KIC 4285087) are well-detached binaries. The remaining three systems have apparent tertiary companions, but each exhibit two eclipses along with at least one spectroscopically varying component (KIC 6449358, KIC 6131659, and KIC 6781535). Gaia distances are available for four targets which we use to estimate temperatures of both members of these SEBs. We explore evolutionary histories in H–R diagram space and estimate ages for this subset of our sample. Finally, we consider the implications for the formation pathways of close binary systems via interactions with tertiary companions. Our methodology combined with the era of big data and observation overlap opens up the possibility of discovering and analyzing large numbers of diverse SEBs, including those with high flux ratios and those in triple systems.
Blue Lurkers: Hidden Blue Stragglers on the M67 Main Sequence Identified from Their Kepler/K2 Rotation Periods
Authors: Leiner Emily , Mathieu Robert D. , Vanderburg Andrew , Gosnell Natalie M. , Smith Jeffrey C.
Published: August 2019

At an age of 4 Gyr, typical solar-type stars in M67 have rotation rates of 20–30 days. Using K2 Campaign 5 and 16 light curves and the spectral archive of the WIYN Open Cluster Study, we identify 11 3D kinematic members of M67 with anomalously fast rotation periods of 2–8 days, implying ages of less than 1 Gyr. We hypothesize that these anomalously fast rotators have been spun up by mass transfer, mergers, or stellar collisions during dynamical encounters within the 1 Gyr and thus represent lower-luminosity counterparts to the blue straggler stars. These 11 candidate post-interaction stellar systems have much in common with the blue stragglers, including a high binary fraction (73%); a number of long-period, low-eccentricity binary systems; and in at least one case a UV excess consistent with the presence of a hot white dwarf companion. The identification of these 11 systems provides the first picture of the low-luminosity end of the blue straggler distribution, providing new constraints for detailed binary evolution models and cluster population studies. This result also clearly demonstrates the need to properly account for the impact of binaries on stellar evolution, as significant numbers of post-interaction binaries likely exist on cluster main sequences and in the field. These stars are not always easy to identify but make up ∼10% or more of the spectroscopic binary population among the solar-type stars in M67.
Cascading Constraints from Neutrino-emitting Blazars: The Case of TXS 0506+056
Authors: Reimer Anita , Böttcher Markus , Buson Sara
Published: August 2019

We present a procedure to generally constrain the environments of neutrino-producing sites in photomeson production models of jetted active galactic nuclei (AGNs) where any origin of the dominant target photon field can be accommodated. For this purpose we reconstruct the minimum target photon spectrum required to produce the (observed) neutrino spectrum, and derive the distributions of all corresponding secondary particles. These initiate electromagnetic cascades with an efficiency that is linked to the neutrino production rate. The derived photon spectra represent the minimum radiation emerging from the source that is strictly associated with the photohadronically produced neutrinos. Using the 2014/15 neutrino spectrum observed by IceCube from TXS 0506+056, we conduct a comprehensive study of these cascade spectra and compare them to the simultaneous multiwavelength emission. For this set of observations, photopion production from a cospatially produced (comoving) photon target can be ruled out as well as a setup where synchrotron- or synchrotron–Compton-supported cascades on a stationary (AGN rest frame) target photon field operate in this source. However, a scenario where Compton-driven cascades develop in the stationary soft X-ray photon target, which photohadronically produced the observed neutrinos, appears feasible with required proton kinetic jet powers near the Eddington limit. The source is then found to produce neutrinos inefficiently, and emits GeV photons significantly below the observed Fermi-Large Area Telescope flux. Hence, the neutrinos and the bulk of the gamma-rays observed in 2014/15 from TXS 0506+056 cannot have been initiated by the same process.
Evidence for Sub-Chandrasekhar Type Ia Supernovae from Stellar Abundances in Dwarf Galaxies∗
Authors: Kirby Evan N. , Xie Justin L. , Guo Rachel , de los Reyes Mithi A. C. , Bergemann Maria , Kovalev Mikhail , Shen Ken J. , Piro Anthony L. , McWilliam Andrew
Published: August 2019

There is no consensus on the progenitors of Type Ia supernovae (SNe Ia) despite their importance for cosmology and chemical evolution. We address this question using our previously published catalogs of Mg, Si, Ca, Cr, Fe, Co, and Ni abundances in dwarf galaxy satellites of the Milky Way (MW) to constrain the mass at which the white dwarf (WD) explodes during a typical SN Ia. We fit a simple bi-linear model to the evolution of [X/Fe] with [Fe/H], where X represents each of the elements mentioned above. We use the evolution of [Mg/Fe] coupled with theoretical supernova yields to isolate what fraction of the elements originated in SNe Ia. Then, we infer the [X/Fe] yield of SNe Ia for all of the elements except Mg. We compare these observationally inferred yields to recent theoretical predictions for two classes of Chandrasekhar-mass (M
Ch) SN Ia as well as sub-M
Ch SNe Ia. Most of the inferred SN Ia yields are consistent with all of the theoretical models, but [Ni/Fe] is consistent only with sub-M
Ch models. We conclude that the dominant type of SN Ia in ancient dwarf galaxies is the explosion of a sub-M
Ch WD. The MW and dwarf galaxies with extended star formation histories have higher [Ni/Fe] abundances, which could indicate that the dominant class of SN Ia is different for galaxies where star formation lasted for at least several Gyr.