bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Torsional Element towards High-Speed Rotating Shaft’s Critical Speed at Different Boundary Conditions
Authors:   Faculty of Mechanical Engineering Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia., Abdul Wahab* Abdul Malek , Rasid Zainudin A. ,   Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia Kuala Lumpur, Malaysia., Mohd Yatim Norfazrina Hayati Binti ,   Department of Mechanical Engineering Kulliyah of Engineering International Islamic University Malaysia Kuala Lumpur, Malaysia., Makhtar Ahmad Khushairy ,   Faculty of Mechanical Engineering Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia.
Published: December 2019

Efficiency improvement that can be provided by the high-speed rotating equipment becomes a concern for designers nowadays. Since the high-speed rotating machinery was capable of rotating at very near to critical speed, the accurate estimation of critical speed needs to be considered. This paper investigated the effect of torsional element towards critical speed of high-speed rotating shaft system for pinned-pinned (P-P), clamped-free (C-F) and clamped-free (C-F) boundaries condition. The Nelson’s finite element model that considers the torsional effect was developed for formulating the finite element (FE) model. This FE model was used to derive Mathieu-Hill’s equation and then solved by applying the Bolotin’s theory. From the solution, the Campbell’s diagram of the high-speed shaft was plotted. It was found that torsional motion has significant effect on the critical speed for different boundary conditions. The difference between critical speed of 4DOF and 5DOF models can be as high as 6.91 %.
Mathematical Modeling of Microbial Fuel Cells in Wastewater Treatment - Homotopy Perturbation Method
Authors:   Department of Mathematics, AMET Deemed to be University, Kanathur, Chennai, Tamil Nadu, India, Suganya* S. Thamizh , Balaganesan P. ,   Department of Mathematics, AMET Deemed to be University, Kanathur, Chennai, Tamil Nadu, India, Rajendran L. ,   Department of Mathematics, AMET Deemed to be University, Kanathur, Chennai, Tamil Nadu, India
Published: December 2019

Mathematical modeling of Microbial Fuel Cell (MFC), which accounts for the co-existence of methanogenic and anodophilic microbial populations for different operating modes and reactor configurations, is discussed. This model based on the system of non-linear rate equations, where the non-linear term is related to the rate of the reactions. The system of non-linear equations is solved by using homotopy perturbation method. In this paper closed form of analytical expression of the concentration of substrate, anodophilic, methanogenic, and the mediator is derived. The analytical expressions are compared with simulation results for the experimental values of parameters, and satisfactory agreement is noted. The influence of parameters on the concentration profiles are discussed.
Ans-Assist: Robust Human Fall Detection for Unconstraint Smartphone Positions using Modified Long Short-Term Memory Cell
Authors:   Computer Science Department, Faculty of Computing and Media, Bina Nusantara University, Jakarta, Indonesia, Astriani* Maria Seraphina , Heryadi Yaya ,   Computer Science Department, BINUS Graduate Program - Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Kusuma Gede Putra ,   Computer Science Department, BINUS Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Abdurachman Edi ,   Computer Science Department, BINUS Graduate Program - Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Published: December 2019

In many aging countries, where the population distribution has shifted to old ages, the need for automatic monitoring devices to help an elderly person when they fall is very crucial. Smartphone is one of the best candidate devices for detecting fall because accelerometer and gyroscope sensors embedded in it respond based on human movements. People usually carry their smartphone in any position and can make fall detection method difficult to detect when fall occurs. This research explored the model for unconstraint human fall detection by using the sensors embedded in smartphone for carried/wearable- sensor-based method. We proposed robust model called Ans-Assist using modified cell of Long Short-Term Memory based model as fall recognition model which can detect human fall from any smartphone position (unconstraint). Some experimental results showed that Ans-Assist achieved 0.95 (± 0.028) average accuracy value using unconstraint smartphone positions. This model can adapt the input from accelerometer and gyroscope sensors which are responsive when human fall.
Low Power Cmos Vlsi Circuit Layout using Emerging Technologies
Authors:   Assistant Professor, Dept Of Ece, Srinivasa Ramanujan Institute Of Technology, Anantapur, Ap, India, Saifuddin* K. , Teja Chakka Ravi ,   Assistant Professor, Dept Of Ece, Srinivasa Ramanujan Institute Of Technology, Anantapur, Ap, India, Reddy Yennapusa.Rajakullai ,   Assistant Professor, Dept Of Ece, Srinivasa Ramanujan Institute Of Technology, Anantapur, Ap, India
Published: December 2019

As the preference of debark purchaser electronic retail increases punctured and the hesitation neighborhood drops, designers are alien numerous challenges headed for the pound quarter and cleverness. Spans ruin, engineers ardent respecting the push of operation of the orthodoxy.They are masterly to deliver this bloke by reducing the make fast to erect of the transistors. But quieten, disreputable knack sub-system whip designs are the toughest job by the engineers. In the course of the rush technology does cry behoveunshiny, hush household are pretended to esteem such a extensive parade-ground battery in the system to operate. Engineers are whimper absorbed hugely wide the compass shortening of batteries instead of of huge risk factors disclose highly explosive. The touteseule another on touching the designers to furnish a system which latitudinarian support lose profane know-after all is the best hinder adjacent to the Nautical tack. Classify Metal Oxide Semiconductor (CMOS) barney styles are authoritatively popular for dissipating roughly respect to action or basis capacity. Approximately we current 8-portray comparator tiff circuits respecting possibility dispute styles display middle-class CMOS, effectual CMOS and Domino CMOS. Break of dawn, 1-bit comparator is premeditated then the functionality is verified surrounding relative to hospitable of styles. Use this Impede, by coherence them in a cascaded functioning 4-bit comparator and 8-bit comparator are intended. Comparator point circuits are thoroughly flag information overtures maximum in a farmer based systems for the comparison of two words. We counterfeit all the designs bring into play DSCH (Digital graph) and Wee Manner Electronic brick Automation (EDA) utensils all-round the true belongings control of Greater Than (GT), in Than (LT) and Equal (EQ) among the two words. Meter blueprint and ability dolce vita of the designs are tabulated apropos propagation delay.
Influence of Training and Development Programs in Banking Sector on the Performance of Employee
Authors:   Department of Management, Akal College of Economics Commerce and Management, Eternal University, Baru Sahib, Himachal Pradesh, India., Kumari* Geeta
Published: December 2019

In this research paper, the performance of employee in banking sector is studied by understanding the effect of training and development. In the case of SBI bank, the majority of the respondents (52%) were with the organization form 1 to 5 years. In case of ICICI bank, the majority of the respondents (48%) were engaged with the organization from 1 to 5 years. This may also conclude that employee’s turnover is less than public bank and people have more secured jobs in public banks. In the case of SBI bank, on the basis average score (mean) the highest influential factor is HR department is identifying the training needs (4.02) and least influential factor is Methodology for the selection of training (3.08). In the case of ICICI bank, on the basis average score (mean) the highest influential factor is HR department is identifying the training need (4.34) least influential factor is Methodology for the selection of training (3.04).
Hydrophobization of Metal Surfaces
Authors:   National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia., Ryzhenkov* A.V. , Dasaev M.R. ,   National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia., Grigoriev S.V. ,   National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia., Kurshakov A.V. ,   National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia., Mednikov A.F. ,   National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia, Ryzhenkov* O.V. ,   National Research University ‘MPEI’ (NRU ‘MPEI’), Moscow, Russia.
Published: December 2019

This work describes possibility to create texturized surfaces by their modification using laser equipment with the aim to achieve steady heterogeneous wetting regime. Experimental results regarding the influence of laser radiation variables on wetting angle are given for steel (20Kh13) and aluminum (D16T) surfaces. This was aided by variation of main variables of laser impact, namely: radiation power (from 10 to 20 W), laser beam scanning speed (from 100 to 500 mm/s), pulse frequency (from 20 to 80 kHz). Analysis of the results has revealed that the maximum wetting angles for steel and aluminum surfaces are 147.64° and 150.27°, respectively, they have been obtained upon laser texturizing at the same variables of laser radiation. The influence of laser spot diameter on wetting angle has been determined upon impact on steel (20Kh13) surface. This has been aided by lenses the with focal lengths of 163 and 100 mm, their laser spot diameters are 59 and 25 μm, respectively. It has been revealed that, other conditions being equal, the wetting angles are higher at higher laser spot diameter (59 μm).
Managing Energy Consumption in Distributed Data Centers using Genetic algorithm
Authors:   undergraduate student in Computer science engineering at KL University, Vijayawada, India., Kaushik* G H S , rao Dr B Thirumala ,   is working as a professor, Department of CSE, KL Deemed to be University. He completed his M.Tech and PhD degrees in Computer Science and Engineering from Acharya Nagarjuna University, Guntur, India., Viswanath R ,   undergraduate student in Computer science engineering at KL University, Vijayawada, India., J Keerthana ,   undergraduate student in Computer science engineering at KL University, Vijayawada, India.
Published: December 2019

This work shows a multi-target approach for planning vitality utilization in server farms thinking about customary and environmentally friendly power vitality information sources. Cloud computing is a developing innovation. Cloud computing offers administrations such as IaaS, SaaS, PaaS and it gives computing resources through virtualization over data network. Data center consumes huge amount of electrical energy in which it releases very high amount of carbon-di-oxide. The foremost critical challenge in cloud computing is to implement green cloud computing with the help of optimizing energy utilization. The carbon footprint is lowered while minimizing the operating cost. We know that renewable energies that are produced on-site are highly variable and unpredictable but usage of green energy is very important for the mankind using huge amount of single sourced brown energy is not suggested, so our algorithm which evolves genetically and gives practical solution in order to use renewable energy.
Efficient QoS Routing in Manet using Quantum
Authors:   Department of Computer Science and Engineering Siksha’O’ Anusandhan Deemed to be University,Odisha,India, Jagadev* Nibedita , Pattanayak Binod Kumar ,   Department of Computer Science and Engineering , Siksha’O’ Anusandhan Deemed to be University,Odisha,India
Published: December 2019

In mobile ad hoc networks, there is always a requirement of transferring real time multimedia information between a source-destination pair through a communication network. To support these communications and emergence of real-time applications, the basic requirement is to determine a feasible path which can join the source node and the destination node with a minimal cost .The paths are subjected to some constraints such as bandwidth, end-to-end delay, jitter and hop count. So, in order to assure an efficient performance, these QoS routing constraints must be properly handled. Therefore, complication of the problem is considered and accessible solution is provided using meta-heuristic algorithm rather than any other methods. To resolve the multi-constrained QoS routing problem in Mobile Ad-hoc Networks (MANETs), an intelligent algorithm has been proposed here to find the feasible path. This paper proposes a QPSO algorithm for solving multimedia routing which is capable of finding the low-cost route with bandwidth, delay and hop count as the constraints. In the proposed algorithm, the feasible path from the source node to the destination node is selected for communication which satisfies the minimum required bandwidth, less end-to-end delay and minimum hop count. The simulation results illustrate that the proposed QPSO algorithm with a novel node selection technique is able to find a better optimal path with multiple QoS constrains such as Bandwidth, hop count and network delay (end-to-end delay). It can meet the real-time requirements in multimedia communication networks.
Advanced Machine Learning Techniques used for Deodorant Based Sentimental Anatomy
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Basha* CMAK Zeelan , Yaramanchu Viashnavi ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Spoorthy Y ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Divya Yaramanchu ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: December 2019

Now a days there is lots of data floating in the life of world access i.e Internet which is unstructured data.To manage this unstructured data we are introduced some classification algorithms in machine learning to classify the data.Sentiment Analysis[5] is contextual mining of text from documents ,reviews of customers which distinguishes and concentrates emotional data in source material. Assessment API works in fourteen unique dialects .We consider the issue of grouping records not by subject, however by generally speaking slant, e.g., deciding if an audit is certain or negative. Utilizing antiperspirants surveys as information, we locate that standard AI systems absolutely beat human-delivered baselines. The AI stratagies we connected with for arrangement are Naive Bayes, maximum entropy[2] classification, and support vector machines classification algorithms for sentiment classification as on traditional topic-based categorization.[1].
Mechanical Properties of Concrete with Substitution of Fine and Coarse Aggregate by Waste Materials in Concrete
Authors:   Research scholar Annamalai University, Chidambaram, Tamil Nadu, India, Alakhdar* Abusalah Mohamed , Rajaram Baskar ,   Professor, Department of civil engineering Annamalai University, Chidambaram, Tamil Nadu, India.
Published: December 2019

Paper Construction industry has been conducted various studies on the utilization of waste materials in concrete productions in order to decrease the usage of natural resources. This research paper exhibits the evaluation and the effective reuse of waste construction materials and industries, such as cuddapah waste aggregate as partial replacement of conventional coarse aggregate and copper slag as partial replacement of river sand (fine aggregate). Experiments were conducted to find out the mechanical properties of concrete such as compressive, splitting tensile, flexural strengths and the modulus of elasticity of concrete for waste materials aggregate concrete and to compare them with those of conventional aggregate concrete. Results appear that waste materials in concrete have the potential to produce good quality concrete mixtures.
Deviant Behavior of Youth in the Context of Psychology and Pedagogy
Authors:   I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia., Rozhnova* Tatyana Mikhaylovna , Rozhnova Kseniya Sergeevna ,   I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia., Fadeyeva Svetlana Aleksandrovna ,   Institute for the Development of Education, Nizhniy Novgorod, Russia., Schurkova Nadezhda Yegorovna ,   Federal State Institution "Research Institute of the Federal Penitentiary Service of the Russian Federation”, Moscow, Russia., Litvishkov Vladimir Mikhailovich ,   Federal State Institution "Research Institute of the Federal Penitentiary Service of the Russian Federation”, Moscow, Russia., Ilinskaya Irina Petrovna ,   Federal State Autonomous Educational Institution of Higher Education «Belgorod State National Research University», Belgorod, Russia.
Published: December 2019

Introduction. The most important national mission of any state is the formation of sustainable and healthy society. Priority object of national interests is the youth, because the future of society and state depends on the habitual behavior, lifestyle, personal qualities of modern youth. Methods. According to political scientists and sociologists, the criterion defining the concept of “social norm” is its impact on social welfare. If this impact is destructive and represents a real threat to the physical and social survival of a person, it is considered the boundary that separates norm from deviation. Results. In social pedagogy, deviant behavior is defined as the type of abnormal behavior associated with the violation of social norms and rules of behavior characteristic of the relevant age, micro-social relations (family, school) and minor gender-age social groups. Deviant behavior should be considered within the medical norm and not identified with mental illnesses or pathological disorders. Most researchers consider the violation of social norms and norms of behavior as the main criterion for deviations and consider this phenomenon in term of “adaptation (socialization) – disadaptation (de-socialization)”. Discussion. Deviant behavior is a type of abnormal behavior of a mentally healthy person, leading to his/her social maladjustment as a result of steady violation of social and moral norms and values adopted in a given society. The study proved that deviations are characterized by various behavioral signs (abnormalities). Conclusion. Analysis of psychological and pedagogical literature allowed us to identify the following factors influencing formation and development of various deviant behavior forms: socio-economic, sociocultural, biological, psychological, pedagogical, subcultural.
Handwritten English Digit Recognition: A Machine Learning Formulation
Authors:   Asst. Prof. in the department of ECE, SOA(deemed to be university) since, Behera* Suchismita , Das Niva ,   Prof. in the department of ECE, SOA (deemed to be University) since
Published: December 2019

Handwriting recognition is a challenging machine learning task. Handwritten Recognition (HR) systems have become commercially popular due to their potential applications. The challenges that arise due to wide range of variations in shape, structure ,size and individual writing style can be handled with the combination of a powerful feature extraction technique and an efficient classifier. In this paper, an attempt has been made to compare four different feature extraction cum classifier schemes for English handwritten numeral recognition in terms of computational time and accuracy of recognition. Observations show that single decision tree requires less computation time while SVM yields better accuracy.
Trends in the Production, Consumption, Import of Vegetables and Potatoes in the Russian Federation
Authors:   Novosibirsk State Agrarian University, Novosibirsk, Russia., Stadnik* Anatoly T. , Chernova Svetlana G. ,   Novosibirsk State Agrarian University, Novosibirsk, Russia., Ozhogova Olga V. ,   Novosibirsk State Agrarian University, Novosibirsk, Russia., Samokhvalova Anastasia A. ,   Novosibirsk State Agrarian University, Novosibirsk, Russia., Golikov Alexey I. ,   Novosibirsk State Agrarian University, Novosibirsk, Russia.
Published: December 2019

Vegetables and potatoes are the most valuable food and sources of vitamins, coarse fibers, biologically active substances and amino acids for a human being. The consumption of vegetables has a beneficial effect on the human health. The growing population in the world causes the increase in the production of vegetable crops and potatoes. Over the recent decade the world production of vegetables and potatoes has been constantly increasing. The production grows mainly due to the leading countries: China, India, the USA, and Turkey. The Russian Federation is the eighth in the world by the production, and is one of the main importers of these products in the world. In the present article, the production and consumption of potatoes and vegetables in the Russian Federation have been ana-lyzed. The statistical data on federal districts have been analyzed for the following indicators: volumes of production and consumption, and import by federal districts. Besides, the cultivated areas, the yield and production by categories of farms of the Russian Federation have been considered. The factors that have impact on the development of the vege-tables and potatoes production have been determined. The areas for solving the problems associated with the market of vegetables and potatoes in the regions have been suggested. The indicators of vegetables and potatoes production and consumption (for food purposes) in the Russian Federation have been calculated.
Classroom Communication in Engineering and Arts at Undergraduate Level in Indian Context
Authors:   Assistant Professor, Department of English, Academy of Maritime Education and Training, AMET Deemed to be University, Chennai – 603112, Tamil Nadu, India., Subha* Dr. M. , Nagarani* Dr. D. ,   Assistant Professor, Department of English, Anna Adarsh College for Women, Anna Nagar, Chennai
Published: December 2019

Effective classroom communication is the highest challenge to teachers at undergraduate level in this 21st century. Owing to the higher level of exposure to internet and distractions through entertainment, when teachers stand in the classroom to establish an intellectual communication that is transmission of ideas, so many factors disrupt the effective communication between the teacher and the learner. The role of a teacher has also become a facilitator, which is diminishing the rigidity of a teacher. A facilitator is supposed to impart knowledge and skill using all the latest technological advancements like power point presentation, computer assisted teaching, using internet, you tube videos and online learning platforms etc. The challenge is that the facilitator should excel the machines and internet by maintaining classroom dynamics to make the teaching-learning process interesting, lively and fruitful. This paper is an attempt to delineate the salient features of effective classroom mechanism at undergraduate level in arts and science, maritime and technical education. It presents the importance of communication as a dialogue in classroom, learner participation, the reasons for non-participation, classroom management strategies and limitations, actual process of long lasting learning amongst Engineering, Arts and Science domain learners, the necessity of experiential learning and the requirement of skills based teaching and learning.
Offline-First Sleep Assessment (OFFSA): Internet of Things Polysomnography Sleep Assessment Framework for Sleep Monitoring in Rural Environment
Authors:   Electrical Engineering, Universitas Nasional, South Jakarta, Indonesia., Azman Novi , Wicaksono Sandy Rachmat ,   Engineering Physics, Universitas Nasional, South Jakarta, Indonesia., Sinaga* Ernawati ,   Biology, Universitas Nasional, South Jakarta, Indonesia.
Published: December 2019

Sleep is a mandatory biological requirement for humans that require appropriate proportions and quality. The assessment method in determining the best sleep quality and the medical gold standard is to use a Polysomnography device. The advantages of the Internet of Things can significantly increase the usefulness of Polysomnography in suburban areas. The target location of this framework makes our consideration adhere to the Offline-First Internet of Things method to overcome the limitations of the internet at that location. Unfortunately, there are still problems coming from the concept of the Internet of Things itself, and the problem is in data security. So we propose a framework for Polysomnography devices that connects the Internet of Things with a focus on the security and confidentiality of patient data called Offline-First Sleep Assessment (OFFSA). We enumerate patient medical data and archive encryption to improve patient data security. The confidentiality of our patient data is achieved by encryption on every medical data exchange and is only open on the Graphic User Interface application on the device that has been registered.
Applications and Performance of Geogrids in Structures
Authors:   Civil Engineering department, Kongu Engineering College, Perundurai, India., Balaji* Dr. S. , Vinodhkumar S. ,   Civil Engineering department, Kongu Engineering College, Perundurai, India., Ridhuvarsine R.G. ,   Civil Engineering department, Kongu Engineering College, Perundurai, India.
Published: December 2019

A type of geosynthetic material named geogrid plays a pivotal role in the behaviour of concrete by implementing them as an additional reinforcement. Geogrids have good tensile strength as they are formed by the reticulation of tensile elements with an opening of an ample size which allows interlock with the nearby fill materials. These grids are flexible mesh which is highly effective and enhances the life of the structure. The prime constituents of geogrid are polyester, high-density polyethylene, and polypropylene. More often, in the field of civil engineering,uni-axial, bi-axial and tri-axial geogrids are used. As the cost and duration of construction are nominal, geogrids can be optedfor cost-effective and resilient construction. They are frequently used as reinforcement and for stabilization in structures like retaining walls, pavements, foundations, slopes, and embankments. The geogrids are employed in various construction which results in sustainable development. Thus, this paper discusses diverse studies that have been carried out by using different types of geogrids for various purposes by different research scholars.
ECHA: A Novel Energy Efficient Cluster Head Election Algorithm to Provide Energy-Aware Routing in WSN
Authors:   Assistant Professor, Department of Computer Science and Engineering, SSM Institute of Engineering and Technology, Dindigul, Tamil Nadu, India., Nivedhitha* V. , Saminathan A. Gopi ,   Professor, Department of Eloctronics and Communication Engineering, NPR College of Engineering and Technology, Natham, Dindigul, Tamil Nadu, India., Thirumurugan P. ,   Associate Professor, Department of Eloctronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India.
Published: December 2019

Wireless Sensor Network (WSN) is composed of several low powered, tiny and cheap sensors deployed over a geographical area to monitor the environment. WSN can be set out in various real time applications like security and surveillance, healthcare monitoring, smart grids, smart buildings, environmental monitoring and industrial applications etc. A WSN includes numerous spatially dispersed sensor nodes or motes that sense the environment, transfer them to a computing device through hoping and processes them to result in useful information. Since motes are low-powered and operate on limited energy resource, prolong usage of same nodes to transfer data may lead to network failure. Clustering provides an efficient technique to increase the longevity of network by efficiently using the residual energy in the motes. We propose a reasonable energy aware routing protocol that implements energy efficient cluster formation through Energy efficient Custer Head Election (ECHA) algorithm that increases the network performance to a greater extent.
Characterization of Functionally Graded Timoshenko Beams with Variable Rotational Speed
Authors:   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P.) India., Padhi* Surya Narayan , Ram K.S.Raghu ,   Jasti Kasi Babu, Dept. of Mechanical Engg.,Vignan’s Institute of Information Technology, Visakhapatnam, India., Rout Trilochan ,   Dept.of Mechanical Engg., Parala Maharaja Engineering College, Berhampur,India.
Published: December 2019

This paper investigates the free vibration characteristics and stability of a functionally graded Timoshenko beam spinning with variable angular speed. Material properties of the beam are assumed to be varied continuously along the thickness of the beam according to a power law and exponential law. The results show that increasing beam rotational speed increases fundamental mode frequency and the beam becomes more and more stable at higher speeds. This paper reports the dynamic behaviour of a rotating FGM beam subjected to axial periodic forces using the finite element method. The numerical results show good agreement with the reported beams models. Effects of static and time dependent components of axial loads on the stability of the FGM beam have been studied.
Credit Scoring for Financial Services Institution using Ant Colony Optimization Algorithm under Logistic Regression Model
Authors:   Master Program of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia., Rahmani* Ulfa , Sukono  ,   Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia., Riaman  ,   Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia.
Published: December 2019

Economic and trade activities are important in a country. All these activities are regulated by financial institutions, such as banks. The process of channeling funds to the public or known as credit is one of the tasks of the banking sector which aims to improve the people's economy. Credit granting is required for credit analysis, which is useful to determine the level of eligibility of a debtor to receive credit. The function of the credit analysis is to reduce the credit risk of prospective debtors who have failed to pay as well as to avoid financial institution losses or charges. The method used to analyze credit risk in this study is the Ant Colony Optimization algorithm in the Logistic Regression model. Past data held by each prospective debtor obtained from one financial institution in Indonesia is used as a feasibility parameter in this analysis. The results of the study showed that eight variables analyzed were five variables including the significant influence (age of debt ( X1 ), family dependents ( X 2 ), value of the collection ( X 4 ), the number of credit limits ( X 6 ), and the term of the loan ( X8 ) while the other three variables (the amount of savings ( X 3 ), income per month ( X 5 ), net income ( X 7 ) are not significant to the risk of default.
Development of a Technology for the Directed Modification of Fatty Acid Composition of Beef in Grass-Fed Feeding
Authors:   Volga Research Institute of Production & Processing of Meat & Dairy Products, Omarov* Ruslan ,   Stavropol State Agrarian University, Stavropol, Russia., Gorlov Ivan ,   Volga Research Institute of Production & Processing of Meat & Dairy Products., Slozhenkina Marina ,   Volga Research Institute of Production & Processing of Meat & Dairy Products., Mosolova Natalia ,   Volga Research Institute of Production & Processing of Meat & Dairy Products., Shlykov Sergei ,   Stavropol State Agrarian University, Stavropol, Russi.
Published: December 2019

The article presents the results of the influence of studying the formation of a fatty acid profile in cattle meat using forage herbs rich in secondary metabolites (polyphenol oxidase, saponins, tannins and catecholamines) on lipolysis and biohydrogenation in animal rumen. The experiment planning matrix was performed using the Latin square method. The main factor studied was the effect of polyphenol oxidase on biohydrogenation processes in animals. Based on the studies, recommendations are made on the optimal composition of grassland in the pastures of the South of Russia in order to improve the fatty acid composition of beef.
Development of an Algorithm for Creating a Database for Historical Heritage Research
Authors:   Department of Russian history, North Caucasus Federal University, Stavropol, Russia., Kolesnikova* Marina , Ermolenko Lyudmila ,   Department of Russian history, North Caucasus Federal University, Stavropol, Russia.
Published: December 2019

This article presents the results of the development of an algorithm for creating a research base on the history, historiography and source studies of Abkhazia in bibliographic indexes and reference books. The basis for the created base was the materials contained in the reference dictionaries. The pointers are multifunctional, they allow you to find the publication you need to work, others to understand the process of studying the region in the past and present, see how the historical tradition of Abkhazia was born, formed and developed in the history of Russia. Bibliographic activity was carried out by static committees, scientific societies, military historians who comprehensively study the region. Compilation of bibliographic indexes and reference publications on the Caucasus was carried out with the support of public authorities and stimulated the interest of researchers in studying the history of the peoples of the Caucasus.
Overcoming barriers to implement surviving sepsis campaign guidelines
Authors: Bajwa Sukhminder Jit Singh , Sarna Rashi
Published: December 2019

Sepsis and systemic inflammatory response syndrome have attracted much focus during the previous few decades, as one of the most challenging cause of high mortality in patients admitted in intensive care units. Despite the availability of best of the healthcare facilities in developed countries the morbidity and mortality related to sepsis could not be eliminated. It necessitated us to divert focus on various measures to prevent sepsis. The result was a global emphasis on prevention and various strategies were suggested including ‘Early Goal Directed Therapy’ and Surviving Sepsis Campaign (SSC). The recommendations suggested by the Campaign may entail recruitment of additional staff and resources, so not every medical institution is very keen to implement. This editorial highlights some of the barriers to implement the guidelines presented by SSC.Citation: Bajwa SJS, Sarna R. Overcoming barriers to implement surviving sepsis campaign guidelines. Anaesth Pain & Intensive Care 2018;22 Suppl 1:S4-S8
Updates in the management of Guillain Barre Syndrome
Authors: Imelda Novi Chandra , Baktir Fadil , . Fidiana , Hidayati Hanik Badriyah , Basuki Mudjiani
Published: December 2019

Barré and Strohl in 1916. Although GBS has a good prognosis (5% mortality rate), about 10% of patients experience serious disability one year after the start of neurological onset. Recent research of GBS shows that the process involves a number of subtypes with different immunological mechanism and a spectrum of clinical syndrome of acute inflammatory neuropathy. Antibodies against peripheral nerve gangliosides and their own complements are recognized as an important mechanism of nerve damage in GBS. Pharmacokinetics of intravenous immunoglobulin (IVIg) therapy and other related factors that influence prognosis has been researched. In order to investigate the possible role of complement inhibition in GBS management, new studies will be conducted. The management of GBS should be provided in appropriate hospital units, with specialist teams, intensive care and rehabilitation facilities as essential parts. This article aims to provide updated management of GBS.Citation: Imelda NC, Baktir F, Fidiana, Hidayati HB, Basuki M. Updates in the management of Guillain Barre Syndrome. Anaesth Pain & Intensive Care 2018;22 Suppl 1:S54-S57
The role of neuromuscular electrical stimulation for rehabilitation in ICU acquired weakness
Authors: Kusumawardani Martha Kurnia , Poerwandari Dewi , Narasinta Inggar , Hidayati Hanik Badriyah , Subadi Imam
Published: December 2019

Objective: To provide an overview of the muscle weakness development in intensive care units (ICU), summarize clinical trials on the role of neuromuscular electrical stimulation for muscle weakness rehabilitation in ICU and highlight recent strategies that may prevent or minimize this condition.Methodology: Literature review. Results: Some recent studies have shown that an increasing number of survivors of critical illness develop significant functional impairment; one of the common impairments being ICU acquired muscle weakness. Prolonged immobilization and mechanical ventilation likely contribute to the development of ICU-acquired weakness. Several novel therapeutic strategies have been used to overcome the impairment, including neuromuscular electrical stimulation. This neuromuscular electrical stimulation, a kind of physical therapy, is known to stimulate the nerves and thus increase muscle contraction. Conclusion: Neuromuscular electrical stimulation for rehabilitation in ICU-related muscle weakness has shown some promise, but more efforts are needed to detect the development of ICU-acquired weakness as early as possible and rigorously evaluate novel rehabilitation interventions.Abbreviations: ICU (Intensive Care Unit); ICU-Acquired Weakness (ICU-AW); CIP (Critical Illness Polyneuropathy); CIM (Critical Illness Myopathy), CIPM (Critical Illness Polyneuropathy and Myopathy)Citation: Kusumawardani MK, Poerwandari D, Narasinta I, Hidayati HB, Subadi I. The role of neuromuscular electrical stimulation for rehabilitation in ICU acquired weakness. Anaesth Pain & Intensive Care 2018;22 Suppl 1:S164-S169
Role of regional analgesic techniques in ICU
Authors: Sahoo Rajendra Kumar
Published: December 2019

Pain is a major problem in patients admitted in the Intensive Care Units (ICU). Untreated pain has significant impact on the outcome of these patients, especially surgical patients. There is enough evidence in the literature which has demonstrated that inadequately treated pain in ICU leads to prolonged ventilation, longer ICU stay, morbidity and other issues like development of post-traumatic stress disorder (PTSD) and chronic post-surgical pain (CPSP). Regional anesthesia and analgesia (RA) techniques like epidural analgesia, paravertebral blocks, and other peripheral nerve blocks (PNB) play a great role in providing significant pain relief, thus, limiting the use of opioids. They facilitate in earlier weaning from ventilation, reducing respiratory morbidity, and faster rehabilitation. These RA techniques are most useful in polytrauma patients, major thoracoabdominal and orthopedic surgeries, as many of them require post-surgical ICU care. However, these RA techniques are underutilised in many ICUs. Many a times, ICU physicians are not well versed with these RA techniques, and sometimes have fixed misconceptions with regards to these blocks. In this review, we will discuss on the need of these RA techniques and make a quick presentation on the technical aspect of frequently used blocks. The review will only focus on Ultrasound-guided regional analgesia (USRA) techniques as USG is commonly available in ICUs.Abbreviations: PTSD (Post-traumatic stress disorder), CPSP (Chronic post-surgical pain), RA (Regional anesthesia and analgesia), USRA Ultrasound-guided regional analgesia), PNB (Peripheral nerve block), IFPB (Interfascial plane blocks), ASRA (American Society of Regional Anesthesia and Pain Medicine) Citation: Sahoo RK, Nair AS, Badole UR, Kar R, Jadon A. Role of regional analgesic techniques in ICU. Anaesth Pain & Intensiv Care 2018;22 Suppl 1:S73-S82
Non-cardio respiratory monitoring of mechanically ventilated critically ill patients
Authors: Panda Chinmaya Kumar , Karim Habib Mohammad Reazaul , Singha Subrata Kumar
Published: December 2019

Critically ill patients often require multiple organ supports; respiratory support in terms of mechanical ventilation (MV) is one of the commonest. But, only providing an organ support contributes less to the complete well being of the patients. Moreover, MV itself can affect various physiological systems, metabolic response, and cause side effects. A very close temporal relationship exists between patients, monitoring and management decision too, and therefore, appropriate information from monitoring can lead to better outcomes. The present review is intended to briefly highlight the current opinions and strategies for non cardio-respiratory monitoring in such critically ill patients.Abbreviations: AKI-Acute Kidney Injury; APACHE-Acute Physiology and Chronic Health Evaluation; BPS-Behavioral Pain Scale; CAM-ICU-Confusion Assessment Method for the Intensive Care Unit; CPOT–Critical Care Pain Observation Tool; EVLWI-Extra vascular lung water index; FDA-Food and Drug Administration; ISO-International Organization for Standardization; ICU-Intensive Care Unit; LOS-Length of stay; MODS-Multiple Organ Dysfunction Score; MV-Mechanical Ventilation; PaO2-Partial pressure of arterial oxygen; FiO2-Fraction of inspired oxygen; SAPS-Simplified Acute Physiologic Score; RASS-Richmond Agitation Sedation Scale; SOFA-Sequential Organ Failure Assessment; SAS-Sedation Agitation Scale; UO-Urine outputCitation: Panda CK, Karim HMR, Singha SK. Non-cardio respiratory monitoring of mechanically ventilated critically ill patients. Anaesth Pain & Intensive Care 2018;22 Suppl 1:S150-S159Received: 9 Jul 2018 Reviewed: 1 Oct 2018 Corrected & Accepted: 9 Oct 2018
Main considerations in the design of an intensive care unit
Authors: Mehboob Saira , Mujadid Burki Ahmed
Published: December 2019

The objective of my study was to review the latest recommendations for the infrastructure; human resources; intensive care unit (ICU) design and setting; monitoring and management medical equipment and facilities. Designing an ICU requires both clinical expertise of the critical care practitioner; knowledge of architecture and regulatory and safety standard as well as determination of the level of care to be provided at the hospital. The modern ICU consists of a reception area, patient care area, clinical support and storage area. It should be adequately lit with flexibility of equipment maneuverability for management of patient during emergencies. While setting up a new intensive care unit, clinicians should abreast themselves with the latest recommendation and guidelines for ICU design.Citation: Mehboob S, Burki AM. Main considerations in the design of an intensive care unit. Anaesth Pain & Intensive Care 2018;22 Suppl 1:S13-S16
Development and implementation of a regional anesthetic service by general anesthesiologists for total joint arthroplasty patients in a small community hospital in the United States
Authors: VanEenenaam David P. , Johnson Kathleen N , Harris Hannah M. , Choi Jungbin A. , Bullock Matthew W. , Forest Daniel J. , Bryan Yvon F.
Published: December 2019

Background & Objective: Regional anesthesia (RA) blocks are most commonly performed in large academic hospitals and has been shown to reduce postoperative pain. The lack of RA blocks in rural hospitals leaves a large subset of the population without availability of this service. In North Carolina, there is an increased need for these services in small community hospitals. This study examined RA nerve block success rates for total knee, hip, and shoulder arthroplasty procedures. We hypothesized that through proper mentorship, general anesthesiologists could provide safe and efficacious RA blocks at a small, community hospital.Methodology: An Institutional Review Board (IRB) approved retrospective study was performed at Lexington Medical Center (LMC), in Lexington, North Carolina part of Wake Forest Baptist Health. We analyzed 307 patients who underwent total joint arthroplasty (195 knee, 69 hip and 43 shoulder replacements) at LMC. Demographics, type of blocks, block success, and intraoperative analgesics used were also recorded. VAS was used to assess postoperative pain.Results: We found an overall success rate of 96.3% for all joints; 95.2%-femoral or 98.9%-adductor canal, 90.4%-lumbar plexus, 100%-interscalene block for knee, hip and shoulder arthroplasties respectively. 283/307 (92.2%) patients reported a verbal pain score between 0-2 in the PACU. There was a significantly higher mean fentanyl dose/h in patients that did not receive a lumbar plexus block for hip procedures.Conclusion: The results of our study support that general anesthesiologists can provide rural communities with quality, specialized regional anesthesia care safely, and at an equivalent level to that of anesthesiologists specialized in RA blocks at large academic institutions.Citation: VanEenenaam DP, Johnson KN, Harris HM, Choi JA, Bullock MW, Forest DJ, Bryan YF. Development and implementation of a regional anesthetic service by general anesthesiologists for total joint arthroplasty patients in a small community hospital in the United States. Anaesth pain & intensive care 2019;23(3):250-255
Low dose hyperbaric bupivacaine 5 mg combined with 50 mcg fentanyl for cesarean section in maternal heart disease
Authors: Isngadi Isngadi , Hartono Rudi , Husodo Dewi Puspitorini , Prasedya Eka Sunarwidhi
Published: December 2019

Background & Aims: Most of the women with cardiovascular diseases suffer from worsening of their clinical condition during pregnancy. It is caused by cardiovascular physiological changes during pregnancy and increased demand of oxygen-metabolic system. Spinal anesthesia is the most commonly used technique in cesarean section (CS) patients, but there are concerns about sudden hemodynamic decrease. We aimed to investigate the use of low dose hyperbaric bupivacaine 5 mg combined with 50 μg fentanyl for caesarean section in patient with heart disease.Methodology: This study is a retrospective study in 33 patients with maternal heart disease undergoing CS under low dose spinal anesthesia in Saiful Anwar Hospital Malang Indonesia from September 2017 until September 2018. The spinal regimen was administered with 5 mg bupivacaine heavy 0.5% combined with 50 μg fentanyl. We evaluated the hemodynamic preoperative, post injection of spinal anesthetics, postdelivery, and at the end of surgery. We also evaluated Bromage score, Apgar score of the baby, and satisfaction level by the obstetrician.Results: Combination of low dose spinal and opioid for the CS delivery show no significant hypotension effects. Hemodynamic stabilization was achieved. Furthermore, target blocked was reached well in all cases, no significant changes in Apgar score of the baby, and obstetrician satisfied with motor relaxation.Conclusion: Low dose spinal anesthesia using 5 mg of bupivacaine heavy 0.5% and adjuvant opioid fentanyl 50 μg can be successfully used for the performance of CS delivery satisfactory block, good fetal outcome, and impressive cardiovascular stability.Citation: Husodo DP, Isngadi I, Hartono R, Prasedya ES. Low dose hyperbaric bupivacaine 5 mg combined with 50 mcg fentanyl for cesarean section in maternal heart disease. Anaesth pain & intensive care 2019;23(3):274-278