bluuebunny/crossref_metadata_2025 huggingface dataset:
Cranial crassicaudiasis in two coastal dolphin species from South Africa is predominantly a disease of immature individuals
Authors: Van Bressem MF , Duignan P , Raga JA , Van Waerebeek K , Fraijia-Fernández N , Plön S
Published: March 2020

Crassicauda spp. (Nematoda) infest the cranial sinuses of several odontocetes, causing diagnostic trabecular osteolytic lesions. We examined skulls of 77 Indian Ocean humpback dolphins Sousa plumbea and 69 Indo-Pacific bottlenose dolphins Tursiops aduncus, caught in bather-protecting nets off KwaZulu-Natal (KZN) from 1970-2017, and skulls of 6 S. plumbea stranded along the southern Cape coast in South Africa from 1963-2002. Prevalence of cranial crassicaudiasis was evaluated according to sex and cranial maturity. Overall, prevalence in S. plumbea and T. aduncus taken off KZN was 13 and 31.9%, respectively. Parasitosis variably affected 1 or more cranial bones (frontal, pterygoid, maxillary and sphenoid). No significant difference was found by gender for either species, allowing sexes to be pooled. However, there was a significant difference in lesion prevalence by age, with immature T. aduncus 4.6 times more likely affected than adults, while for S. plumbea, the difference was 6.5-fold. As severe osteolytic lesions are unlikely to heal without trace, we propose that infection is more likely to have a fatal outcome for immature dolphins, possibly because of incomplete bone development, lower immune competence in clearing parasites or an over-exuberant inflammatory response in concert with parasitic enzymatic erosion. Cranial osteolysis was not observed in mature males (18 S. plumbea, 21 T. aduncus), suggesting potential cohort-linked immune-mediated resistance to infestation. Crassicauda spp. may play a role in the natural mortality of S. plumbea and T. aduncus, but the pathogenesis and population level impact remain unknown.
Experimental Endotoxemia Induces Leukocyte Adherence and Plasma Extravasation Within the Rat Pial Microcirculation
Authors: ZHOU J. , SCHMIDT M. , JOHNSTON B. , WILFART F. , WHYNOT S. , HUNG O. , MURPHY M. , ČERNÝ V. , PAVLOVIC D. , LEHMANN C.
Published: March 2020

Disturbance of capillary perfusions due to leukocyte adhesion, disseminated intravascular coagulation, tissue edema is critical components in the pathophysiology of sepsis. Alterations in brain microcirculation during sepsis are not clearly understood. The aim of this study is to gain an improved understanding of alterations through direct visualization of brain microcirculations in an experimental endotoxemia using intravital microscopy (IVM). Endotoxemia was induced in Lewis rats with Lipopolysaccharide (LPS, 15 mg/kg i.v.). The dura mater was removed via a cranial window to expose the pial vessels on the brain surface. Using fluorescence dyes, plasma extravasation of pial venous vessels and leukocyte-endothelial interaction were visualized by intravital microscopy 4 h after LPS administration. Plasma cytokine levels of IL1-β, IL-6, IFN-γ, TNF-α and KC/GRO were evaluated after IVM. A significant plasma extravasation of the pial venous vessels was found in endotoxemia rats compared to control animals. In addition, a significantly increased number of leukocytes adherent to the pial venous endothelium was observed in septic animals. Endotoxemia also induced a significant elevation of plasma cytokine levels of IL1-β, IL-6, IFN-γ, TNF-α and KC/GRO. Endotoxemia increased permeability in the brain pial vessels accompanied by an increase of leukocyte-endothelium interactions and an increase of inflammatory cytokines in the plasma.
Expression of mRNA for Adenosine A1, A2a, A2b, and A3 Receptors in HL-60 Cells: Dependence on Cell Cycle Phases
Authors: HOFER M. , DUŠEK L. , HOFEROVÁ Z. , STIXOVÁ L. , POSPÍŠIL M.
Published: March 2020

The present studies investigated changes in expression of mRNA for adenosine A1, A2a, A2b, and A3 receptors in samples of HL-60 promyelocytic cells differing in the actual presence of cells in various phases of the cell cycle induced by the double thymidine block method. Real-time PCR technique was used for obtaining data on mRNA expression. Statistical analysis of the data revealed that the mRNA expression of adenosine A1, A2a, and A3 receptors is dependent on the cell cycle phase. G0/G1 and G2/M phases were characterized by a higher mRNA expression of adenosine A1 receptors and a lower one of adenosine A2a and A3 receptors whereas the opposite was true for the S phase. Interestingly, expression of mRNA of the adenosine A2b receptors was independent on the cell cycle phase. The results indicate the plasticity of mRNA expression of adenosine receptors in the investigated promyelocytic cells and its interaction with physiological mechanisms of the cell cycle.
On morphemes and morphomes: exploring the distinction
Authors: Herce Borja
Published: March 2020

The concept of the morphome (i.e. a morphological unit at odds with syntax and semantics) is notoriously uncomfortable for many formal models of morphology. Many discussions have thus centred on whether morphomes exist and whether individual cases are morphomic or not. When one gets rid of theoretically-driven assumptions, however, there is little evidence for a dichotomic taxonomization of morphological minimal signs into morphemes and morphomes. Cross-linguistic variation suggests that morphological units can be arranged on a scale from those having the simplest morphosyntactic distributions to those whose distributions are most complex. The properties of the former vs the latter are, however, not substantially different. I argue, therefore, that we should avoid this arbitrary taxonomy and explore instead the diversity of form-meaning mappings objectively by developing adequate and cross-linguistically applicable quantitative measures.
Biomechanical Etiology of the So-called Idiopathic Scoliosis (Adolescent Idiopathic Scoliosis [AIS]). New Classification Rules of Therapy and Prophylaxis
Authors: Karski Tomasz
Published: March 2020

The biomechanical etiology of the so-called idiopathic scoliosis (Adolescent Idiopathic Scoliosis [AIS]) is described in years 1995-2007. In article are presented the etiological factors, the new classification, and the methods of therapy and principles of causal prophylaxis. The etiology of AIS is strictly biomechanical and it is connected with the asymmetry of the movement of the hips and with function-“standing” and “gait”. The new knowledge about scoliosis is important for doctors and nurses. Materials: In the years 1984-2018, more than 2500 patients with scoliosis have been observed and treated. This group included children in 80% in age 4 to 18 and in 20% older patients in age of 40-70. In this group of patients there were children endangered or with first or advanced symptoms of “so-called idiopathic scoliosis”. The patients with various syndromes or congenital scoliosis were excluded in the statistic of research.
Brownfield Development: Uncertainty, Asymmetric Information, and Risk Premia
Authors: Trouw Michael , Weiler Stephan , Silverstein Jesse
Published: March 2020

This paper shows that brownfield redevelopment occurs at a lower than socially optimal rate due to a stigma effect. A theoretical framework is employed, incorporating asymmetric information showing this stigma within the brownfields market generates a first-mover problem. Developers require a risk premium on their rate of return to offset this stigma, which discourages investment. Asymmetric information further widens the gap between offer and asking prices, reducing successful transactions. Implications of the theoretical framework are explored using a survey of real estate developers in the Denver metropolitan area. Brownfield developers’ typical characteristics along with their risk and stigma premiums are quantified and found to be substantially in excess of cleanup costs.
Relationship between groundwater chemistry and the Precambrian basement rocks on eastern Bornholm, Denmark
Authors: Gravesen Peter , Jakobsen Rasmus , Nilsson Bertel
Published: March 2020

Bornholm is situated south of Sweden, in the Sorgenfrei–Tornquist Zone (Fig. 1). The Precambrian basement on northern and eastern Bornholm consists of different types of granitic and gneissic rocks with pegmatites, aplites and dolerite dykes (Callisen 1934). The age of the granite and gneiss is c. 1455 Ma (Waight et al. 2012).
Assessment of the mineral raw material potential in Denmark – methods and major findings
Authors: Kløve Keiding Jakob , Kalvig Per , Ditlefsen Claus , Lomholt Steen , Roll Jakobsen Peter
Published: March 2020

Aggregates and other mineral raw materials are important prerequisites for the continual development of the infrastructure and economic growth of a country. The production of these raw materials in Denmark amounted to c. 4.5 m3 per capita in 2012, which was 57% higher than the average in EU and EFTA countries (UEPG 2014). In this perspective, it is essential to locate and assess the Danish mineral resources in order to plan future exploitation, especially in densely populated regions where both spatial competition for landuse and demands for raw materials are high. Here we present the methods used in a recent resource evaluation that for the first time includes Danish resources both on land and at sea and summarises some of the main findings of this analysis.
Estado da Arte sobre a Educação de Jovens e Adultos no estado do Paraná: contribuições e implicações
Authors: Lima Ferreira Jacques , Bortolini Rosane , Stiegler Ribas Marciele
Published: March 2020

Este artigo apresenta uma investigação de abordagem qualitativa do tipo Estado da Arte sobre a Educação de Jovens e Adultos (EJA) no Paraná, no período de 2013 a 2018, a partir do mapeamento e da análise de pesquisas acadêmicas, dissertações e teses, com vistas a melhor compreender o que os estudos têm revelado sobre a temática. A Biblioteca Digital Brasileira de Teses e Dissertações foi utilizada como base de dados para realizar a investigação que teve o objetivo de mapear e analisar as contribuições e implicações que as pesquisas acadêmicas apresentam sobre a EJA. Enquanto objeto de estudo foram identificadas 69 pesquisas, sendo 10 teses e 59 dissertações, que abordaram a temática desta investigação, analisadas sob a ótica da técnica de Análise de Conteúdo, na perspectiva de Bardin (2011). A partir da análise dos dados foi possível identificar que os resultados das pesquisas enfatizam contribuições na prática pedagógica e de cunho social para a EJA. Quanto às implicações foi possível constatar que as pesquisas revelam incidências relacionadas às políticas públicas, à formação de professores, ao material didático e às metodologias adequadas ao perfil dos educandos dessa modalidade de ensino. Essas questões são proeminentes na EJA, contudo é preciso avançar em seu campo pedagógico e epistêmico.

Palavras-chave: Estado da Arte. Educação de Jovens e Adultos. Paraná.
A construção da crítica educativa em uma unidade de conservação na Amazônia brasileira
Authors: Tenório Moraes Roble Carlos , Pompeu Eliel do Carmo , Ramos Sara Francisca Corrêa Dias
Published: March 2020

Este trabalho apresenta-se com a temática da Educação Ambiental (EA) em Área Protegida, com ângulos de análises nas Escolas da Vila de Anilzinho e Joana Peres, que estão localizadas na Reserva Extrativista (RESEX) Ipaú-Anilzinho no município de Baião, estado do Pará na Amazônia brasileira. Expõem-se enquanto pesquisa a EA presente na percepção dos sujeitos educadores das escolas, como instrumento de mediação pedagógica e sociabilidade ambiental. Este trabalho sintetiza algumas questões de análise crítica acerca de questões ambientais construídas em trabalhos realizados pelos pesquisadores entre os anos de 2015 a 2018. A metodologia foi produzida por meio de revisão bibliográfica e entrevistas semiestruturadas, tendo como método de referência o materialismo histórico-dialético e, como técnica de interpretação de dados a análise de conteúdo. Os resultados apontaram que os sujeitos no contexto das escolas apresentam pouco conhecimento da institucionalização da Política de Educação Ambiental brasileira e apesar da EA fazer parte da consciência social dos sujeitos educadores das escolas, estes, não tem promovido aprofundamento teórico-prático e esclarecimentos quanto à constituição da reserva e outros recursos para produzir avanços na realidade socioambiental das escolas de Anilzinho e Joana Peres.
La Editorial
Authors: Andaluz Echevarría Jorge
Published: March 2020

Como Director de la Escuela Superior de Guerra Naval, me resulta un alto honor el continuar con la tradición de presentar la edición de la Revista de este centro de estudios superiores. Este año 2019, nos hemos trazado un nuevo objetivo, ya que la mencionada publicación pasará de la etapa de periodicidad anual a la etapa de periodicidad semestral.
PENGARUH KONTEN INFLUENCER DI MEDIA SOSIAL TERHADAP KESEJAHTERAAN PSIKOLOGIS REMAJA AKHIR
Authors: Mahdia Asrini
Published: March 2020

Penelitian ini dibuat untuk mengetahui pengaruh konten influencer di media sosial terhadap kesejahteraan psikologis remaja akhir. Subjek penelitian adalah 111 mahasiswa psikologi universitas X tingkat satu dan dua dengan rentang usia 17-21 tahun yaitu yang sudah memasuki periode remaja akhir. Metode yang digunakan adalah metode korelasional yang akan dianalisis dengan analisis koefisien korelasi. Hasil penelitian menunjukkan nilai korelasi yang didapat adalah kuat dan positif. Positif maksudnya terjadi hubungan searah antara konten influencer di media sosial dan kesejahteraan psikologis remaja akhir. Bila konten influencer sering ditonton maka akan terjadi pembentukan kesejahteraan psikologis pada remaja akhir. Pembentukannya bersifat positif, sehingga apabila remaja sering melihat konten influencer, kesejahteraan psikologisnya juga akan meningkat.
Educación, gestión y territorios: hacia la totalización de realidades multiversas
Authors: Luna Nemecio Josemanuel
Published: March 2020

En este manuscrito se presentó el segundo número de Forhum International Journal of Social Sciences and Humanities. En la Introducción se presenta la importancia de abordar las problemáticas latinoamericanas desde la transdisciplina; enfatizándose la relevancia que tienen los enfoques críticos para realizar estudios sobre las realidades pedagógicas dentro y fuera de las aulas y los espacios educativos en las diversas realidades latinoamericanas. Los estudios presentados en este Dossier toman como marco de referencia los estudios sobre los procesos de educación, gestión del conocimiento, evaluación de competencias docentes y organizacionales, así como la evaluación espacial de problemas y dinámicas geopolíticas del continente latinoamericano. En el Desarrollo se presenta una panorámica que sintetiza el contenido argumental de los artículos que estructuran el segundo número de la revista. El artículo concluye estableciendo el sentido que tiene para la academia y la sociedad el que se estén desarrollando tan importantes investigaciones como las que se presentan en el segundo número de Forhum International Journal of Social Sciences and Humanities.
Diagnóstico en torno al proceso de evaluación en la gestión del director escolar desde la socioformación
Authors: Butrón Gardida Ivette
Published: March 2020

The article has the purpose of evaluating the management performance of the principal of the private elementary school based on the guidelines of the Ministry of Public Education of Mexico from the socioformation. This approach is shown in a field study conducted to the preschool's principal through which the importance of the directive management for school performance is explained in the rubric application result. For this, a documentary analysis based on the organization of the documentary information in articles of indexed journals and published books was carried out. The result was the evaluation of the abilities of the school principal understood as the global actions for institutional development. These skills for management, allow the school principal with his leadership to promote the training of students, teachers and administrative staff, to link the school with the community.
Taguchi Optimization for Waste Cooking Oil Based Biodiesel Preparation
Authors:   Assistant Professor, Department of Chemical Technology, Shivaji University, Kolhapur, India., Patil Pravinkumar D. , Buradkar Aditya M. ,   Faculty, Department of Process and systems Engineering, Otto-Von-Guericke University, Magdeburg, Germany., Mulla Masoomraja Zakir ,   Student, Department of Technology, Shivaji University, Kolhapur, India., Prabhu P. A. ,   Assistant Professor, Department of Mechanical Engineering, Shivaji University, Kolhapur, India., Nagla J. R. ,   Statistician, Department of Statistics, Textile and Engineering, Institute, Ichalkaranji, India.
Published: March 2020

Biodiesel is a promising future fuel. In the recent times lots of research has been done to make the waste product as a valuable product. The option which best suits is the biodiesel which can be obtained from Waste cooking oil using Various methods. The prominenet technique is the one which gives best results with the addition of less parameters involved in it. Biodiesel is acquired from edible, non-edible vegetable oils and animal fats as well. Well, a known route to manufacture biodiesel is trans-esterification of acylglycerol that undergo catalyzed esterification with methanol. With an aid of a suitable experimental design, it is vital to optimize various parameters that affect product yield and quality. A novelty of our work lies in implementing Taguchi Design for process optimization. The analysis gives an optimized set of process parameters namely oil to alcohol molar ratio as 1:7, catalyst congregation as 1%, latency as 20 min as well as intense heat as 50 °C. using these optimum conditions, the biodiesel prepared is found to have the highest yield of 75.18%, moreover diesel quality is also acceptable as per ASTM criteria. Its environmental benefits and renewability attract both industry and academia for further research.
Decks Range Gola Village Community Begun District Buton District North
Authors:   University Iqra Buru. Maluku Indonesia, Djunaidi Firman Gazali , Azwan  ,   University Iqra Buru. Maluku Indonesia, Tenriawali Andi Yusdianti ,   University Iqra Buru. Maluku Indonesia, Iye Risman ,   University Iqra Buru. Maluku Indonesia, Tahir Saidna Zulfiqar bin ,   University Iqra Buru. Maluku Indonesia
Published: March 2020

Language means to give opponents meaningful speeches so that they can be understood and understood because in language, of course, requires excellent and correct linguistic tools. This study aims to analyze the deixis of the people of the village of Rante Gola, Bonegunu District, North Buton Regency. This study uses a qualitative descriptive method carried out by not prioritizing the numbers, but prioritizes the depth of appreciation of the interaction between the concepts being studied independently. The population in this study was the community of Rante Gola Village, Bonegunu District, North Buton Regency, the sample in this study amounted to 14 people. Data collection techniques in this study were recorded and recording techniques. Based on the approach used, the data analysis method used is the contextual method. The contextual way is a method of analysis that is applied to data by basing, calculating, and linking contexts. The results of the above research are deixis found in the Kulisusu Dialect of the Rante Gola Village Community, Bonegunu District, North Buton Regency, namely six types, namely: Deiksis People or Persona, place, time, discourse, social, and pointer.
Effect of Elevated Temperatures and Thermal Cycles on Self Compacting Concrete Reinforced with Polypropylene Fibers
Authors:   Research Scholar, Civil Engineering department U.V.C.E, Bangalore University, J.B.Campus, Bangalore, Appaji Deepak G , K Chethan ,   Assistant Professor, Civil Engineering department U.V.C.E, Bangalore University, J.B.Campus, Bangalore
Published: March 2020

SCC has been widely adopted in the various applications. Addition of fibers to SCC has shown to increase the strength and concrete durable. Concrete structures are subjected to intense solar radiations and alternating temperatures throughout their lifetime right from the time of casting. The variation in the properties of concrete due to this radiation exposure and thermal cycles of alternating hot and cold temperatures needs to be investigated. The current study presents an investigation on compressive and flexural strength as well as weight reduction in polypropylene fiber reinforced SCC at 100oC thermal cycles of 7, 14 and 28 days. Two mixes of concrete namely normal SCC and SCC with mineral admixture (10% silica fume) are considered. Strength is observed to improve with an increase in thermal cycles while the weight is found to reduce.
Boundary Detection Robots
Authors:   Communication department, Al najaf Technical engineering College, Al Furat Al Awast Technical University (ATU), Al najaf City, Iraq., Safa Hussein , Abdulsadda Ahmad Taha ,   Communication department, Al najaf Technical engineering College, Al Furat Al Awast Technical University(ATU), Al najaf City, Iraq, Wadday Ahmed Ghanim ,   Communication Department, Al Najaf Technical Engineering College, Al Furat Al Awast Technical University(ATU), Al najaf City, Iraq.
Published: March 2020

Mobile robot sensors have appeared as techniques for tracking the environment, search and rescue, exploration and mapping, civil infrastructure analysis, and military operations. Discovery and tracking of polluted areas with sensor mobile multi-robots is now regarded the solution to environmental and human safety issues. This paper shows some algorithms intended to allow mobile multi robots with sensor to estimate and monitor for polluted an irregular area in a synchronized way. Changes in the behavior of dangerous environmental boundaries, such as fire spreads or oil spills, provide appropriate data to mitigate the issue or even support evacuation actions to save human or animal life. In this paper, we present a model using a two-robot called it Boundary Detection Robot (BDR) moving around an environmental boundary to predict its shape through a continuous analytical function based on the combination of polynomial approximation. These robots are composed of many sensors each with embedded processors, wireless communication, and movement capabilities. We explain that when we increase the sample frequency and the robot velocity, the strategy converges to the exact boundary. We conducted experiments with simulated and actual robots to assess the estimation quality. We analyze the reliability of the control unit and other component in a robot simulator and assess the efficiency of the all components in a realistic set-up and environment model. We implement a stable transmission range of robot control laws with sensors to track irregular area boundaries.
Weld Overlay Technique using Different Filler Rod Size to Overcome Internal Corrosion of Low Carbon Steel Base Metal
Authors:   Fabrication & Joining, University of Kuala Lumpur Malaysia France Institute (UNIKL MFI), Selangor, Malaysia., Che Lah Nur Azida , Hussin Muhamad Hellmy ,   Fabrication & Joining, University of Kuala Lumpur Malaysia France Institute (UNIKL MFI), Selangor, Malaysia.
Published: March 2020

Overlay welding is commonly used to repair and replace the affected corroded surface of the base metal of a component. In other words, it is used to restore the original dimensions of the component. Weld overlay usually applies a corrosion resistant or hard facing layer onto the base metal. This experiment is to determine the suitable filler rod size in repairing corroded low carbon steel (LCS) base metal, respectively to the affected area and to identify the type of distortion occurring on the weldment. It is also to examine the microstructure of the joint between the overlay weld and corroded low carbon steel base metal using SEM/EDX. The overlay welding process was conducted on the corroded samples using SMAW process at defined attacked corroded areas. Filler electrode E-7018 with two diameter sizes of 3.2mm and 2.6mm were selected. It was found that the bigger electrode size produced higher degree of distortion angle compared to smaller electrode size. Resulting from the metallographic and SEM/EDX analysis, the joint between weld overlay and corroded LCS were fused well without any sign of oxides or other impurities present. Overlay welding also remove the sign of chloride ions that cause the LCS base metal to corrode. Thus, the repairing technique using overlay welding was found successful in repairing corroded LCS base metal. Therefore, the most suitable electrode size to do overlay welding on corroded low carbon steel base metal is 2.6 mm diameter electrode.
Predictive Mechanism for Medicines Availability in Government Health Centers
Authors:   Associate Professor, Department of Information Technology, MLR Institute of Technology, Dundigal, Hyderabad., Neeraja  , J Pradeep Kumar ,   Assistant Professor, Department of Information Technology, MLR Institute of Technology, Dundigal, Hyderabad.
Published: March 2020

During the peak time of a disease, some medicines are not available in the hospital. Now-a-days, medicines play an important role in medical science. To treat a patient there are absence of medications in government emergency clinics. Our fundamental point of our venture is to build up a Healthcare Information framework to give prescient examination on Medicines accessibility in Government clinics. In view of patient inflow for a specific affliction or ailment, authentic information and current information, framework could produce a report on what all medications ought to be accessible in the clinic. On expanding the productivity of the emergency clinic by overseeing accessibility of medicines utilizing machine learning algorithm (regression technique). This encourages government emergency clinics to follow the medicines accessibility of a specific occasional infection.
Failure Characteristics on ADNAN Malaysian Armoured Vehicle Track Shoe and its Improvements
Authors:   Fabrication & Joining, University of Kuala Lumpur Malaysia France Institute (UNIKL MFI), Selangor, Malaysia, Hussin Muhamad Hellmy , CheLah NurAzida ,   Fabrication & Joining, University of Kuala Lumpur Malaysia France Institute (UNIKL MFI), Selangor, Malaysia., Aziz Shamsul Akmar Abd. ,   Science & Technology Research Institute, Defence (STRIDE), Selangor, Malaysia.
Published: March 2020

Armoured military vehicle is designed to withstand the stresses impact from bullets, missiles or any explosive shells. It is applied to the vehicle in order to protect the personnel inside from enemy fire and also to protect from any threats other than deliberate attack. However, an issue arises when it comes for track link shoes of the armoured vehicle which already became problems to the designers and users of tracked vehicles. The track link problems usually related to the problems that already existed because of its excessive weight, excessive noise and vibrations, overheating of rubber track elements and road wheels, etc. All of these existing problems could leads to the failure of pin and bushing, chunking of the pads and breaking of the track links itself. Instead of that, today’s tracks are much more expensive not only in terms of initial cost but also the replacement cost. Here, this paper reviews some of the failure cases and improvements of the armoured-vehicle itself. It also covers a real study on the failure assessment of the ADNAN (The Malaysian Armoured-Vehicle) Track Shoe.
Modularity based Community Detection in Social Networks
Authors:   Ph.D. Scholar, Institute of Engineering & Technology, Devi Ahilya Vishwavidyalaya, Indore, India., Meena Shyam Sundar , Tokekar Vrinda ,   Professor, Department of Information Technology, Institute of Engineering & Technology, Devi Ahilya Vishwavidyalaya, Indore, India.
Published: March 2020

The community detection is an interesting and highly focused area in the analysis of complex networks (CNA). It identifies closely connected clusters of nodes. In recent years, several approaches have been proposed for community detection and validation of the result. Community detection approaches that use modularity as a measure have given much weight-age by the research community. Various modularity based community detection approaches are given for different domains. The network in the real-world may be weighted, heterogeneous or dynamic. So, it is inappropriate to apply the same algorithm for all types of networks because it may generate incorrect result. Here, literature in the area of community detection and the result evaluation has been extended with an aim to identify various shortcomings. We think that the contribution of facts given in this paper can be very useful for further research.
Impact of Carbon Tax Scheme and CO2 Control Technologies on Bangladesh Aviation Industry
Authors:   Department of Business Administration, Daffodil International University, Dhaka, Bangladesh, Bhowmik Roni , Patnaik B.C.M. ,   School of Management, Kalinga Institute of Industrial Technology, Bhubaneswar, India., Debnath Gouranga Chandra ,   , Department of Business Administration, Daffodil International University, Dhaka, Bangladesh., Satpathy Ipseeta ,   School of Management, Kalinga Institute of Industrial Technology, Bhubaneswar, India.
Published: March 2020

Aviation transport action group reported that carbon dioxide (CO2 ) emission of airlines in 2017 was 859 million tons which is 2% of global emissions, (Akça, Z. 2018). It adds that the bank has calculated that “under the worst case ‘carbon intensive’ scenario, living standards will fall by 6.7% for Bangladesh by 2050”. This paper investigates how Bangladesh can respond to best optimize to the EU’s Aviation Carbon Tax Scheme proposed by the Stackelberg game model. The analytic result shows that the strategy “refusal of pay” is the best one which Bangladesh is taking step of. Numerical simulations specify a quantitative visual of the consequences found. The policy is found to be effectively not flying as much would reduce the CO2 emission and consequently, purchase of new aircraft, retrofitting and upgrade improvements on existing aircraft, latest designs in aircraft/engines, fuel efficiency standards and alternative fuels etc. reducing the overall emissions. The main contribution of this paper is to study a new international issue for developing country on aviation carbon tax and CO2 emissions policy suggestions for the aviation technology.
Flexible Job Shop Scheduling using Software
Authors:   B. Tech, KL deemed to be university in INDIA, Nikhil Prathipati , Phanindra K.N. ,   B.Tech, Kluniversity, india, Chalapathi P.Venkata ,   Professor in KL deemed to be University, received B.Tech in Mechanical Engineering from Acharya Nagarjuna University, Ikram Mohammed ,   B. Tech in Mechanical engineering at KL deemed to be University., Akhil B. ,   B.Tech, KL deemed to be University.
Published: March 2020

This present paper speaks about Flexible Job Shop scheduling Problem using a software. Flexible Job shop scheduling is most typical and complex manufacturing environments in production planning issues. A case study was conducted on a manufacturing business set in Vijayawada. Information collected from the producing company to get the time taken by the conventional scheduling method and gathered data for 5 jobs requiring 8 machines that arrived during the analysis period. The Project additionally speaks about the study of varied programming strategies, learning of LEKIN programming package is a software tool has a flexibility to develop new heuristic models to produce effective schedules be applied practically. Input data, taken from the manufacturing company, converted to tables and routing sequences. The LEKIN programming package [3], develops the different schedules for given data with reference to priority rules, such as First Come First Serve (FCFS), Longest Processing Time (LPT), Shortest Processing Time (SPT), Earliest Due Date (EDD), Critical Ratio (CR) [6]. The schedules obtained from priority rules analysed through performance measures like Make Span, No of late jobs, Total Flow Time, Total Tardiness, Maximum Tardiness, Total Weighted Tardiness, Total Weighted Flow Time. Our goal is to come up with a optimized schedule with in the process of flexible job shop scheduling by using LEKIN scheduling software, using various priority rules as mentioned above and to minimize the make span i.e. the time length of the schedule, during which all the operations for all jobs is completed in an engineering company.
Retrospection on Localization Techniques for Positioning Nodes in Wireless Sensor Networks
Authors:   Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, India., Kathiroli Panimalar , S Kanmani. ,   Faculty, Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, India
Published: March 2020

Wireless Sensor Networks have highly scattered, self-organized nodes that can detect, compute, and transmit the information collected at different nodes in the network. These nodes spread over a specific topographical zone. They enhance the instantaneous formation of the network. Knowing the current location of a node is a crucial and cardinal requirement for any application promulgated in WSN. Once the locations of the sensor nodes can be precisely positioned, there are ample of probabilities for the data transmission of the network to be excelling inefficiency. Location responsiveness enables essential network features such as coverage, routing, deployment, topology control, clustering, boundary discovery, target tracking, rescue, and other location services. Hence, WSN localization has become a breath and backbone arena that ostentatiously attracted significant research interest. Our work traces a compilation of all the dynamic research in sensor networks on localization techniques and emanates eminent understanding of it.
Improvising Weakly Supervised Object Detection WSOD using Deep Learning Technique
Authors:   Assistant Professor, Department of Computer Engineering, KJSIEIT, university of Mumbai, India., Wadmare Jyoti G. , Patil Sunita R. ,   Vice Principal, Professors at KJSIEIT, Mumbai, University of Mumbai (UoM), India.
Published: March 2020

Object detection is closely related with video and image analysis. Under computer vision technology, object detection model training with image-level labels only is challenging research area.Researchers have not yet discovered accurate model for Weakly Supervised Object Detection (WSOD). WSOD is used for detecting and localizing the objects under the supervision of image level annotations only.The proposed work usesself-paced approach which is applied on region proposal network of Faster R-CNN architecture which gives better solution from previous weakly-supervised object detectors and it can be applied for computer visionapplications in near future.
Performance Analysis of NLFM Signals with Doppler Effect and Background Noise
Authors:   Associate Professor Department of Electronics and Physics, Gitam University, Vishakhapatnam, India., Valli Nettem Adithya , Rani Daniel Elizabath ,   Research Scholar Department Of Electronics And Communication Gitam University., Kavitha Chandu ,   Professor Department of Electronics and Communication Gitam University.
Published: March 2020

This paper focuses on the study of effect of background noise and Doppler Effect on various Nonlinear Frequency Modulation (NLFM) waveforms designed using two stage piece-wise and three stage piece-wise linear and non linear functions. The background noise investigated is Additive White Gaussian Noise (AWGN). Simulations are carried out for different target speeds ranging from 100 to 5000km/hour to study Doppler Effect. The simulations are carried out using Matlab software. Among the waveforms designed, the NLFM function designed using two piece-wise Linear Frequency Modulation (LFM) is observed to be Doppler tolerant and also not affected by noise, as the SNR changes from -20 to 20 dB the peak side-lobe level (PSL) of this signal is around -34.84 dB.
Changing the Cotton Fiber Temperature
Authors:   Tashkent Institute of Textile and Light Industry, Researcher, R.I. Ruzmetov , I.D. Madumarov ,   Tashkent Institute of Textile and Light Industry, Doctor of Technical Sciences., M.A. Gapparova ,   Tashkent Institute of Textile and Light Industry, candidate of technical sciences., T.O Tuychiev ,   Tashkent Institute of Textile and Light Industry, Ph.D.
Published: March 2020

The article investigates the dependence of the temperature of cotton fiber on the time spent on drying-cleaning equipment. The study also investigated the effect of hot air velocities on cotton. According to the study, the increase in hot air temperature for drying from 2.5 m/s to 7 m/s leads to an increase in the temperature of the fiber to 10 ÷ 12 0C. It was found that the increase in the temperature of the fiber can be achieved by increasing its velocity without increasing the air temperature.
Determination of Characteristics of Dc Motors used in Light Motor Electric Vehicles using Inter Operable Cad & Femm
Authors:   Assistant Professor grade in the Department of EEE at Canara Engineering College Mangalore., B Dhananjaya , Kumar Satyendra ,   professor grade in the department of EEE at NMAMIT, Nitte
Published: March 2020

Electric vehicles (EV’s) were invented and had been a part of transportation industry before 1900’s. Being popular, they had good turn outs in the market till 1918. As the inventions of internal combustion engines grew in the transportation industry, EV’s usage started to die. The usage of EV’s was totally zero by 1933, due to slow response and high expenses. The shortcomings faced by EV’s then, are not overcome totally till date. Advancement in the field of Microelectronics and power electronics have made EV power trains competitive with ICE power trains. The developments in the materials and manufacturing technologies provide optimistic battery. The vital factors that revive EV’s: cost of energy, energy independency, pollution free operation. The upcoming shortage of fossil fuels, shortage of supply, growing demands and their cost have made people look around for an alternative mode of transportation. As electricity production can be made from different energy resources, EV’s promise to be a future of vehicles. However the recharging can be done when there is excess energy in power utilities. The biggest reason of interest towards EV’s is environmental factors such as reduction in air pollution in congested traffics thereby meeting national energy strategy policies
Cooperative Learning: Adaptive Group Formation for Collaborative Learning
Authors:   UG Scholar, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai, Tamilnadu, India, Reddy Mullangi Sandeep , Vindhya Shri ,   Associate Professor, Department of Computer Science and Engineering , Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai, Tamilnadu, India.
Published: March 2020

Collaborative learning affects with lot of factors like student’s personality, their interaction patterns, learning styles etc. Grouping of students is one of the important factors. It is important to arrange groups by skills and/or backgrounds. Hence it is noteworthy to create groups based on specific skills of students. Generally the students can be randomly grouped or grouped themselves. But this method of grouping students based on certain features like personality traits can improve the efficiency of collaborative learning. The student’s data can be collected from social networking site like Facebook. The personality of each student can be identified by comparing the individual’s chat history with psycholinguistic databases. The main objectives of this paper are to identify the student’s personality. Based on that, the group of students can be formed using k-means clustering algorithm.
CMOS Circuit Design for Classification of ST and VT Arrhythmia Based on Morphological Analysis using Neural Network Classifier
Authors:   Associate Professor, Department of Electronics and Communication Engineering, Anurag Group of Institutions, Hyderabad, India., Priya D. Hari , Ravali D. ,   M.Tech, Department of Electronics and Communication Engineering, Anurag Group of Institutions, Hyderabad, India.
Published: March 2020

Ventricular tachycardia is a life threatening medical emergency. Discerning dangerous ventricular rhythms with safe Sinus tachycardia based on heart rate is very tough as they are having similar heart rate. Most of the existing research used time information for classification which may lead false alarm. Hence a CMOS circuit is proposed to classify ventricular-tachycardia based on morphological changes in QRS complex. The design includes sample and hold circuit for sampling QRS complex, mapping circuit for map the given input signal to unit length, hamming neural network and winner take all circuits for classification of ventricular tachycardia. This design is implemented using 180nm CMOS technology with the operating voltage and power consumption of 19.81µW.
Assorted Techniques for Defining Image Descriptors to Augment Content Based Classification Accuracy
Authors:   PGPM – Information Technology, Xavier Institute of Social Service, Ranchi, India, Das Rik , Arshad Mohammad ,   MCA Department, Vinoba Bhave University, Hazaribag, India, Manjhi Pankaj Kumar ,   University Department of Mathematics, Vinoba Bhave University, Hazaribag, India
Published: March 2020

Image data has turned out to be a significant means of expression with the advancements of digital image processing technologies. Image capturing devices has now transformed to commodities due to smart integration with cell phones and other useful devices. Huge amount of images are getting accumulated daily in gigantic databases which requires categorization for prompt retrieval in real time. Content based image classification (CBIC) thus gained it's popularity in classifying images to their corresponding categories. Feature extraction techniques are the foundation of CBIC to represent the image data in the form of feature vectors. This work has implemented three different feature extraction techniques from spatial domain, transform domain and deep learning domain. The three different feature vectors feature vector are contrasted to investigate the robustness of descriptor definition for content based image classification
Reduct ECOC Framework for Network Intrusion Detection System
Authors:   Department of CSE, RAGHU Institute of Technology, Visakhapatnam, India., Erothi Uma Shankar Rao , Rodda Sireesha ,   Department of CSE, GITAM University, Visakhapatnam, India,
Published: March 2020

Now a day’s network security is major concern for e-government and e-commerce applications. A wide range of malicious activities are increasing with the usage of internet and network technologies. Identifying novel threats and finding modern solutions for network to prevent from these threats are important. Designing an effective intrusion detection system is significant to continuously look out the network activities to efficiently thwart malicious attacks or to identify the intruders. To tackle multi class imbalance classification problem in networks, a reduct based ECOC ensemble framework for NIDS is proposed to efficiently identify attacks in a multi class scenario. The Reduct-ECOC classifier is validated on highly imbalanced benchmark NSL-KDD intrusion datasets as well as other UCI-ML datasets. The experimental results on eight highly imbalanced datasets show that Reduct-ECOC classifier performs better than many other state-of-art multi-class classification ECOC learning methods.
Improved Self Key Establishment Protocol for Multi Hop Communication under Wireless Device Systems
Authors:   Assistant Professor, Department of IT, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India., Thilagavathi C. , Sowmiya M. ,   Assistant Professor, Department of IT, M.Kumarasamy College of Engineering, Karur. Tamil Nadu, India.
Published: March 2020

The wireless device systems are definitely the tiny systems composed of wireless device goods. The device tools catch environmentally friendly information. Information catch, the information receives and data gears are the three main procedures of the device products. The information morals will be sent through the radio rate of recurrence. Protection is the most important obligation for the purpose of the cellular device systems. Necessary administration is extremely important for anyone protection applications. The distribution procedure in administration has been changed drastically over the years. The self-key establishment process for cellular device sites (SKEW) is utilized to handle the crucial administration activities in terms of security. The effective self-key restaurant standard protocol provides essential administration with much less important storage space, conversation, transmitting regularity and computational expenses. The crucial circulation can be performed with minimal message transmitting procedure. The self-key store process with regards to cellular device systems can be the foundation process for everybody protection protocols. The self-key establishment protocol is mainly created for the single-hop communication environment. The proposed platform enhances the self-key organization process for numerous jump conversation environments. The SKEW process can be sustained for unreserved multiple bottom train station environment without groupings. The self-key business process shall be built-in with additional protection protocols to offer a comprehensive option for essential distribution and guaranteed conversation procedure
Rainfall Runoff Modeling using Gene Expression Programming and Artificial Neural Network
Authors:   M.E student, civil engineering department, Shri. G.S. Institute of Technology & Science, Indore, Madhya Pradesh, India., Singh Raviraj , Ajmera Sunil ,   Professor in civil engineering department, Shri. G.S. Institute of Technology & Science, Indore, Madhya Pradesh, India
Published: March 2020

In water resource management and planning the Rainfall-Runoff models play a crucial role and depends mainly on the data available for planning activities. The rainfall-runoff relationship comes under the nonlinear and complex hydrological Event. In the present study two data driven modeling approaches, Artificial Neural Network (ANN) and Gene Expression Programming (GEP) has been used for modeling of rainfall-runoff process as these methods does not consider the physical nature of the process, which is complex to understand. GEP and ANN are used to model rainfall-runoff relationship for Dindori catchment in upper Narmada River Basin. Daily hydro-meteorological data of Dindori gauging station and precipitation of the catchment for a period of eighteen years were used as input in the model design. Various combinations of input variables for training and testing of models were selected based on statistical parameters. The performance of model was evaluated in term of the root mean square error (RMSE), coefficient of determination, RMSE to standard deviation ratio (RSR) and Nash Sutcliffe Efficiency. The results obtained after applying the two techniques were compared. Which indicates that GEP performed better in all performance evaluation parameters (R2 is 0.92) then ANN (R2 0.90) and is able to give mathematical relationship for rainfallrunoff modeling.