bluuebunny/crossref_metadata_2025 huggingface dataset:
Seismic Analysis for Multi-Story Building Horizontally Damped Above Basement Level
Authors: Ziauddin Patowary Mohammed , Kadir Marsono Abdul
Published: July 2018

Due to the urbanization multi-story building with underground story for parking space and storage are very common in practice. Now a day, seismic energy dissipating devices are being used for various types of structures and located in basements which are difficult to maintain.  The main objective is to evaluate the effectiveness of horizontal dampers in the ground floor level of the multi-story building above basement. Among different types of dampers, visco-elastic [VE] dampers are used for this numerical study. Comparing with other types of passive energy dissipating devices, visco-elastic [VE] dampers are considered most suitable. For the better understanding of the effectiveness of horizontal dampers, stiff foundation system is considered thus soil-structure interaction is omitted. In this numerical study, seismic response of different hypothetical structures analyzed having different underground stories and horizontal dampers only in the ground level. Modeling and analysis of the structures and installation of the dampers are done by using finite element modeling software [ETABS]. Time history analysis was used to simulate the response of the structures. Sabah earthquake [05/June/2015] with the PGA of 0.126g was used for the time history analysis. Different dynamics parameters such as natural time period, displacement, base shear and inter-story drift were evaluated. Changes in the results among the structures demonstrated the efficiency of horizontal dampers. Optimum locations of the horizontal dampers were also revealed in this study in the basis of the analysis results.
Evaluation of Graduate Students Employability from Employer Perspective: Review of the Literature
Authors: Ibrahim Gamer Eldeen Asma , Ali Abumalloh Rabab , P George Remya , A Aldossary Danah
Published: July 2018

Graduate employability is a critical issue in Higher Education. Employers are expecting not only the subject knowledge from the students to compete with the current industry demands, but also additional skills to face corporate battles and challenges. The aim of this research is to identify the skills demanded by the employers and to incorporate them in the learning outcomes of higher education. This research aims to review and analyses all the papers published from 2010 until now regarding the evaluation of graduate students from employers’ perspectives. This subject has been rarely touched in literature and needs more focus regarding to its importance for both education institutions and employers. Papers were collected from different databases and carefully analyzed by the authors. Different classification methods were done. The results were analyzed. The results indicate that there is a gap between the learning outcome and the employability skills.
Contribution of Manufacturing Industry, Agribusiness Industry, Marine Industry Through People's Welfare to Economic Growth in Batam, Indonesia
Authors: Wibisono Chablullah , . .
Published: July 2018

Since 1972 the island of Batam designated as the industry, trade, tourism and over the ship. since it is located close to Singapore so that industry in Batam only manufacture, but in the development of all the mostly consumed comes from outside (import) and the broad sea area of  715 square km total area of 1,575 square kilometers along the sea. This study aims to know Contributions Industrial Manufacturing, Agribusiness Industry, Marine Industry Against Public Welfare Through Economic Growth Batam. In this study sampled is Indonesian Chamber were 200 respondents. The results of analysis by using SEM* assisted AMOS* Software version 22, Square Multiple Correlation. Thus it can be stated that the change of Economic Growth by contributions from the Industrial Manufacturing, Agribusiness Industry, Marine Industry 56.7%. Tus it can be stated that the People's Welfare changes by contributions from the Industrial Manufacturing, Agribusiness Industry, Marine Industry and Economic Growth of 56.7%. From this research, it is interesting to conclude: that manufacturing contributes Significantly to economic growth, but not to the people's welfare, while agribusiness and marine contribution members of the economic growth are not significant, but it Gives the agribusiness and marine public welfare significant contribution,
Development of High Gain Circularly Polarized Antenna Array for RF Renewable Energy
Authors: Chao Kang Chia , Ayuni Fatin , Yang Kang Chia
Published: July 2018

RF energy has become very attractive in the engineering and scientist field for green substainbility. A novel high gain circularly polarize antenna array for RF renewable energy is presented in this paper. The antenna structure was investigated using full wave electromagnetic field analysis. Finally, the entire structure of the antenna array was fabricated and measured. A comparison between simulated and measured results has been observed. The results show that high gain 5.0dBi at 956MHz had been achieved for circularly polarize antenna array and the works concludes that the investigation of high gain antenna system was successful and it can use as an alternatif sources for renewable green energy. The antenna structure that presented is also an important part of the IoT and 5G development.
Cluster Analysis of Innovativeness in Manufacturing Companies and Its Influence to Business Success
Authors: Suroso Edy , Primiana Ina , Kaltum Umi , Azis Yudi
Published: July 2018

The competition makes the companies under pressure to always survive in the conditions that dynamically changed. Innovation has been known as an important factor in improving the performance of the company in the face of dynamic market. The purpose of this paper are (1) to analyze innovativeness by using the 58 operations managers of manufacturing companies in Tasikmalaya City, West Java Indonesia as respondents, and (2) to know the types of innovativeness cluster determining business success. The results showed the four types of clusters of Innovativeness consisting (1) Leading Innovators cluster that have the outclass value than the others in every aspect of innovativeness, (2) Followers cluster is as the very low radical product innovations capability, (3) Inventors are very strong radical product innovations, while (4) Laggers are the lowest scores in all innovation types among the clusters. Based on ANOVA, it is concluded that every clusters of innovativeness has its own business success difference. The leading innovators type has the highest mean of business success measured by the comparison innovations type among clusters in the sales growth.
Development and Validation of Payment Performance Assessment Tool for Construction Industry
Authors: Abdullahi Sarki Sani , Adul-Hamid Razali , W.Y.W Mahmood
Published: July 2018

The late payment has been the major issues facing the construction industry across the globe. Many studies have looked at this issues from management and legal perspectives. Despite its endemic effect on the construction industry, there is no any assessment tools for measuring the payment performance (late and prompt payment). This paper developed and validated a payment performance assessment tool in the context of construction industry client organization, particularly in the Nigerian construction industry. The tool was developed based on the organizational culture and payment performance attributes for the client organization. Analytical Hierarchy Process (AHP) was used to elicit pair-wise comparison and weight of each variable. This led to the development of the tool. The tool was then validated in the assessment of client’s payment performance of a case organization. The assessment tool was calibrated based on consensus benchmarking. However, the calibration ranges from 0.00-0.69 as late payment performance, 0.70-0.98 prompt payment performance and 0.99-1.00. Absolute prompt payment performance. The result shows that the payment assessment tool succeeded in measuring payment performance of a case organization with a score of 0.50 points indicating that the organization do not pay its contractors on time. Therefore, the organization is experiencing late payment. However, there is need to replication the study to revalidate the tool in another organization or country.
Empirical model for quantification of confidentiality in OO system
Authors: Kumar Rakesh , Hardeep Singh Dr
Published: July 2018

The coupling or aggregation binds together the different entities or components within the system. An external process when takes or try to take the control of the system will be assisted in its action if the underlying system is highly coupled. A highly coupled design degrades the ability of software to defend against exploitation. Thus from a software developer’s point of view, we must provide so much security at design time that no one outside the system should be able to access in unauthorized way. It is to insure that information leakage is minimal (if not zero as is desired theoretically). This research work done quantitatively, describes the ability of object oriented coupling metrics to predict faulty classes. There are two major section of this paper. One section covers the ability of multi layer neuron perceptron model for prediction of faulty classes and in other section we have proposed and validated a statistical model for confidentiality using data set of dif-ferent releases of apache velocity project so as to quantify the effects of coupling on confidentiality of system.
Ramification of hustling the web application development
Authors: Kaur Daljit , Parminder Kaur Dr
Published: July 2018

With the growth of web and Internet, every era of human life has been affected. People want to make their or their organization’s presence globally visible through this medium. Web applications and/or mobile apps are used for the purpose of making their recognition as well as to attract the clients worldwide. With the demand of putting the business or services online faster than anyone else, web applications are developed in hustle and under pressure by developers and most of the times they ignore the few essential activities for securing them from severe attacks, which may be a greater loss for the business. This work is an effort to understand the complex distributed environment of web applications and show the impact of husting the web development process.
Review of techniques for extraction of bilingual lexicon from comparable corpora
Authors: Singh Lehal Manpreet , Ajit Kumar Dr , Vishal Goyal Dr
Published: July 2018

Bilingual lexicons are important resources for performing a number of bilingual tasks in machine translation (MT) and cross-language in-formation retrieval (CLIR). Since the manual building of bilingual extraction is a tedious affair, researchers have focused upon the automatic extraction of bilingual lexicons from corpora. Another issue is the use of parallel and comparable corpora for extraction. Much success has been achieved in the use of parallel corpora but it is only available for a few language pairs and for limited domains. Therefore, the use of comparable corpora comes as an alternative but a lot need to be done in this field. The paper presents a review of different techniques and methods, which have been used for automatic extraction of bilingual lexicon suggesting that an integrated approach can give better results than using individual approaches. The paper also contains a proposed method for extraction of bilingual method using a combined approach.
A machine learning technique for detecting outdoor parking
Authors: Mago Neeru , Satish Kumar Dr
Published: July 2018

In recent years, it has been observed that it becomes time-consuming and cumbersome job to find a vacant parking lot, especially in urban areas. Thus, it makes difficult for potential visitors or customers to search a vacant space for parking their vehicles and keeps on revolving round the parking area which not only increases frustration level but also wastes time and energy. In order to get an optimal parking lot immediately, there is a requirement of an efficient car-park routing systems. Current systems detecting vacant parking lots are either based on very expensive sensor based technology; or based on video based technologies which do not consider various weather conditions like sunny, cloudy and rainy weather. In the proposed work, a hybrid model is designed for detecting outdoor parking which detects the empty spaces available in the parking lots and the spaces/ slots getting vacant in the real-time scenario. This model is based on training, validating and testing the images (dataset) collected from various heights and angles of different parking areas stored in the repository. In this research, more advanced feature extractors and machine learning algorithms are evaluated in order to find the vacant parking lots in the outdoor park-ing areas.
A survey on MANET protocols in wireless sensor networks
Authors: Cynthia, Prudhvi Krishna Saguturu C , Bandi Komali , Magulluri Srikanth , Anusha T
Published: July 2018

In Wireless sensor networks and ad hoc networks nodes have a freedom to move from one place to another, they are self-configuring this type of the structure fulfil the requirements of several application. A survey on the different MANET protocols will be done in this paper. Mainly this paper will focus on the Quality of Service on the different parameters like Throughput and Delay between different protocols like AODV (Ad Hoc on Demand Distance Vector), DSDV (Destination-Sequenced Distance-Vector Routing), DSR (Dynamic Source Routing), and TORA (Temporary Ordered Routing Algorithm). DSDV is called as proactive protocol because they know everything about the nodes in the network before the communication start. DSR, AODV, TORA protocols are called reactive protocol because nodes in this network do not know anything about network. They are also called ON-DEMAND routing protocols. After this analysis you will come to know which MANET protocol is best for different application.
Organizing hematologic gene sequence data using neighbor joining phylogeny method
Authors: J. Bipin Nair B
Published: July 2018

There are a number of methods to spot orthologous genes from homologous genes. Since identifying orthologous genes are main problem and play a major role in the hematologic genetic disorders. In this paper, we propose different approaches to discover orthologs of homologous hereditary diseases of the hematological system and find the evolutionary relationship between hereditary genetic diseases of the hematological system by adjoining the joining method of contiguous merging trees.
Vulnerability detection and prevention of SQL injection
Authors: J. Santhosh Kumar B , P. Anaswara P
Published: July 2018

SQL injection attack is the most serious security vulnerabilities on databases are connected with web or within an intranet, most of these vulnerabilities are affected by lack of input validation and SQL parameters are use. The attackers are trying to steal the data which was hidden and by attacking the database using the attacking technique that is called SQL injection attacks. The SQL injection attack detection and prevention technologies are experimented in this paper. There are different defence methods are used to prevent such as, parameterized statement, stored procedures and white list input validation. The comparative results of these methods are highlighted in the table with SQL injection query, prepared statement insertion and selection queries, stored procedures and modify queries. The comparison of these methods used for detection and prevention vulnerability in web server.
Adaptive protection scheme for microgrids
Authors: Vaithilingam C , Jain Himani , Ojha Medha , Singh Meghna , Vijay Joseph Samuel J
Published: July 2018

Micro grids are gaining attention to become an integral part of traditional power system, due to their numerous technical benefits and their ability to improve power system reliability.Voltage regulation, reduction in Transmission and distribution losses, reduction in the need for transmission capacity addition etc are the few technical benefits of micrgrids with renewable energy sources. However, a protection scheme that suits a conventional power system will require a major revamp if micro grids need to be interfaced. The power generations of each renewable source, mode of operation of microgrids are the few important factors to be considered to fix the relay settings. The conventional over current protection scheme faces selectivity and sensitivity issues during the grid faults and the microgrid faults, since the fault current level is different in both the cases. Hence, electro mechanical and static relays may not be suitable for the protection of power systems with microgrids. The processor based relays with augmented intelligence, that is, a relaying scheme which can act according to the operating condition need to be developed. This paper proposes an adaptive protection scheme for power systems with microgrids. The proposed method in this paper is tested with a hardware prototype resembles the actual microgrid setup.
Handover forecasting in 5G using machine learning
Authors: Suresh Kumar A , Vanmathi S , Praveen Sanjay B , Ramya Bharathi S , Sakthi Meena M
Published: July 2018

Communication plays a major role in human’s life. Without network communication can’t be done, to achieve proper and effective communication different generations of networks are introduced. Each generation has its own features and perspective of communication, but till now there is no network properly makes people to communicate. Many researches says 5G network will rule the network world as it satisfies all the effective network goals. This paper is proposed to obtain all the goals of a communication network by making proper handover with the help of machine learning.Here we have used two main algorithms to make our 5G handover process by clustering and classifying. Clustering is a process of making the datasets into single units of every users and classification is a process of classifying user’s clustered datasets into common path using prediction and forecasting. For clustering we are using K-means and for classification we are using Random Forest algorithm. By using the algorithms the datasets which is being predicted and forecasted is stored in the cloud. Here cloud technology is used as a platform for developing datasets associated with internet. 5G network adapts to any form technology easier and here we have used all the essential technologies under machine learning. This paper deals with all the above methodologies effectively with newer combinations of algorithms along with proper solutions.
Sentimental analysis on social media data using R programming
Authors: Geetha Bhargava Mandava , Rajeswara Rao Duvvada
Published: July 2018

Sentimental Analysis is an ongoing research field in Text Mining Arena to determine the situation of market on particular entity such as Product, Services...Etc. and it can be called as computational treatment of reviews, subjectivity and sentiment of text. Cryptocurrency can be explained as a type of digital estate and devised to mechanize as a form of trade and exchanges that uses cryptography as an encryption technique to secure the transactions and acts as decentralized controlled transaction which is opposed to centralized transactions. Cryptocurrency are a type of virtual currency, digital currency and alternative currency, On basis of categorical, there are different architecture and security protocols which are used in the cryptocurrencies to secure transactions, the different types of cryptocurrency are available in the market such as Bitcoin, Litecoin, and Namecoin…etc. This paper focuses on survey on different types of sentimental analysis methods and main contribution of this paper include sentimental analysis of  social media data on different types of cryptocurrencies on basis of categorical and different terms of cryptocurrency such as Cryptocurrency, virtual currency, digital currency and discussed on trends of crypto currency in present market.
A survey on video classification using action recognition
Authors: Andrew Caleb , Fiona Rex
Published: July 2018

The growth in multimedia technology have resulted in producing a variety of videos every day. These videos should be classified in order to help people identify the correct video which they search for when needed. The video classification problem can be said as a probabilistic data classification problem which falls as a subcategory of the machine learning technique. Classification helps in indexing, analyzing, searching etc. A survey has been made on the present technologies that are used for video classification. Various techniques used for video classification such as Multiple Instance Learning (MIL), Conditional Random Field (CRFs) and classifying based on the action and gesture are studied.
Methods to improve electro kinetic energy conversion efficiency in nanoscale channel
Authors: P Nair Manu , S Babu Jeetu
Published: July 2018

With the help of MD simulation in a Lennard jones system, Argon fluid flowing through a Platinum channel, we have demonstrated a practical approach to tune slip length in nanoscale flows. It was found that the presence of solid obstacles in the channel can manipulate the slip length similar to the variation of slip length with respect to fluid solid interaction potential. These results can act as a guidance to improve the electro kinetic energy conversion efficiency in nanoscale flows which will have immense application in the development of nanofluidic battery.
A salutary biotechnical approach for explosive identification and border patrol using electrophysiological signals
Authors: Santhanakrishnan C , Peermeer Labbai T , S. Dudala Shailesh , Sai Santhosh Nag Y
Published: July 2018

This paper visualizes a salutary approach to maneuver and implement a successful sensor embedded rover that could be used for the surveillance of harmful components like bombs and underground mines that usually contain embedded metallic shrapnel and avoid detonation owning to its light frame. In case of any hostile situation, rescue operations are performed by human and trained dogs in a very precarious pandemonium risking the chances of victimizing themselves. Therefore, to enhance the safety and celerity1 of any defensive op, the rover is controlled directly through bio-electrical signals which are spontaneous in decision making, tweaking their application by using the variations in Electroencephalographic (EEG) and Electrooculographic (EOG) readings in the blink of an eye. Subsequently, the raw mindwave-sensor data is imported into MATLAB, thru the NeuroSky Headset RF receiver, these values are interpreted to normalized ranges so that 4 directions or degrees of freedom shall be implemented, thus opening up possibilities of handsfree-operation. The rover includes Passive-Infrared sensors (PIR) which are used for detecting human presence, motion/mobility and for detecting the illegal entry of intruders across any defensive line. The ATMega 328P microcontroller onboard the Arduino is used to control the sensors on board the while the ZigBee modules are used for ultra-low voltage transmitting and receiving sensor data. Furthermore, an ultrasonic sensor to analyze terrain and measure the distance from impending intrusions vastly improves the rover's mobility on challenging terrains.
Real-Time detection and tracking moving vehicles for video surveillance systems using FPGA
Authors: Abdulraheem Fadhel Mohammed , Al-Shamaa Omran , Husain Taher Bahaa
Published: July 2018

With the growth of the electronic and communication devices, computer vision has become an significant application of smart cities. A smart city is controlled by smart autonomous systems. Many algorithms have been developed to satisfy these smart cities. This paper concerned with addressing the moving objects (vehicles) by using morphological techniques. For computational cheapness. The simulation has been built by a MATLAB 2012a and its implementation was done using Xilinx-ISE 14.6 (2013) XC3S700A-FPGA board that provides an exceptional tool for mixing between two platforms, the ISE 14.6(2013) and the MATLAB (2012a) platforms. MATLAB provides components for FPGA that invoke Verilog code of Xilinx platform, to avoid the size weakness of XC3S700A-FPGA board.
Pharmacovigilance, signal detection using statistical data mining methods
Authors: V. Sriramakrishnan G , Muthu Selvam M , Mariappan K , Suseendran G
Published: July 2018

Pharmacovigilance programmes monitor and help safeguarding the use of medicines which is grave to the success of public health programmes. Identifying new possible risks and developing risk minimization action plans to prevent or ease these risks is at the heart of all pharmacovigilance activities throughout the product lifecycle.  In this paper we examine the use of data mining algorithms to identify signals from adverse events reported. The capabilities include screening, data mining and frequency tabulation for potential signals, including signal estimation using established statistical signal detection methods. We have standard processes, algorithms and follow current requirements for signal detection and risk management activities.
Pin number theft recognition and cash transaction using sixth sense technology in ATM/CDM
Authors: Pradeep Kumar S , Shanmugasundaram N
Published: July 2018

Nowadays peoples using credit/debit card for cash transaction for their daily needs. Meanwhile for deposit and withdrawal of huge amount the consumers use the automated teller machine or cash deposit machine. Due to this the crime related to ATM like pin number theft, fraud calls etc increasing day by day. This paper aim to reduce the risk related to pin number theft. We proposed a sixth sense technology which can access by our gestural interface to do the normal operation for cash transaction rather than touching the pin number plate which will be helpful for eliminating the theft related with pin number tracking. The experimental prototype model is designed and the results are verified and presented in this paper.
Ensemble swarm behaviour based feature selection and support vector machine classifier for chronic kidney disease prediction
Authors: Belina V.J. Sara S , Kalaiselvi K
Published: July 2018

Kidney Disease and kidney failure is the one of the complicated and challenging health issues regarding human health. Without having any symptoms few diseases are detected in later stages which results in dialysis. Advanced excavating technologies can always give various possibilities to deal with the situation by determining important realations and associations in drilling down health related data.   The prediction accuracy of classification algorithms depends upon appropriate Feature Selection (FS) algorithms decrease the number of features from collection of data. FS is the procedure of choosing the most relevant features, removing irrelevant features. To identify the Chronic Kidney Disease (CKD), Hybrid Wrapper and Filter based FS (HWFFS) algorithm is proposed to reduce the dimension of CKD dataset.   Filter based FS algorithm is performed based on the three major functions: Information Gain (IG), Correlation Based Feature Selection (CFS) and Consistency Based Subset Evaluation (CS) algorithms respectively. Wrapper based FS algorithm is performed based on the Enhanced Immune Clonal Selection (EICS) algorithm to choose most important features from the CKD dataset.  The results from these FS algorithms are combined with new HWFFS algorithm using classification threshold value.  Finally Support Vector Machine (SVM) based prediction algorithm be proposed in order to predict CKD and being evaluated on the MATLAB platform. The results demonstrated with the purpose of the SVM classifier by using HWFFS algorithm provides higher prediction rate in the diagnosis of CKD when compared to other classification algorithms.
Fabrication and characterisation of B-H-G fiber with teak wood particles reinforced hybrid composite
Authors: . Deenadayalan , Sivakuma S , Vishnuvardhan R , Sathish Kumar R
Published: July 2018

In recent years, natural fiber based hybrid composite materials have replaced many conventional metals and synthetic resin composites in many applications. The natural fibers serve better in the present unsustainable environment due to their properties. The waste wood particles from saw mill can also be added as reinforcement element in the matrix. Hence, to enhance the strength of the composite, fine teak wooden particles are mixed with the composite matrix material. The aim of this work is to develop hybrid fiber reinforced composite with waste teak wooden particles with optimum properties. Therefore it can replace the existing synthetic fiber reinforced composite material for a suitable application. In this work, epoxy resin has been reinforced with the hybrid fibers (Banana, Hemp and E-glass) to develop fiber reinforced plastic (FRP) with a weight ratio of 1:2 hand lay-up technique. The thickness of the composite specimen is obtained by laying up layer of fiber and matrix with wood particle. An experimental investigation of tensile, flexural, impact strength and water absorption capacity of the B-H-G Teak wood particle hybrid composite laminates have been carried out according to the ASTM standard of the composite laminates.
High competence MIMO-OFDM with generalized led index modulation
Authors: Showme N , Ramachandran Anush , Sekhar Nihal , Shankar Ravi
Published: July 2018

Optical communication in specific the visible light communication (VLC) is the next generation technology in the field of data transmission. This paper proposes an idea of improving the transmission rate of the data via a totally different method of channel using optical light communication. Here, the normal radio frequency waves aren’t being used at all. Simple light will give us the required channel medium to send the data over a range. The system that is being proposed separates each data signal and sends it one by one to the light emitting modulation. The real and imaginary part of the complex time domain OFDM signals are taken apart and are sent over a frequency-flat light channel. As a standard it was demonstrated that the performance of the simulation in two different configurations with various numbers of transmitting and receiving antennas.
The Difference of Integrin ανβ3 Expression, Leukemia Inhibitory Factors and Superoxide Dismutase Serum Concentration in the Provision of Kebar Extract (Biophytum petersianum Klotczh), Metformin, and Their Combination to Mouse models of Endometriosis
Authors: Glamour Seindy , Hidayat Syarief Thaufik , Prianto Adi Setyawan , Widjiati Widjiati
Published: July 2018

Background: In endometriosis there is a decrease in endometrial receptivity. Kebar and Metformin grasses are expected to improve the condition of endometrial receptivityObjective: To find out whether there is any effect of giving Kebar grass extract and metformin on endometrial receptivity Methods: The study was designed by using a simple experimental randomization. It was conducted in Obstetrics Gynecology Department - Faculty of Medicine Diponegoro University and Faculty of Veterinary Medicine Airlangga University. Sample calculation was employed. The study was done within five groups including control group with normal mice, group of endometriosis mouse models given placebo, group of endometriosis mouse models given Kebar grass extract, group of endometriosis mouse models given metformin, and group of endometriosis mouse models given the combination of Kebar grass – metformin extract. The examination materials of ανβ3 integrin and Leukemia Inhibitory Factors were taken from the uteri of the mice and measured by the Rammele Scale Index (Immuno Reactive Score), while the Superoxide Dismutase examination using ELISA was derived from mice serum. These examinations were performed by two veterinariansResults: The expression of ανβ3 integrin was significantly higher in the group of mouse models given Kebar grass extract as well as the combination of Kebar and metformin grass extracts (p <0.05) rather than in the group of endometriosis mouse models with no treatment, whereas LIF expression was significantly higher in the group given Kebar grass extract, metformin and combination of both extracts (p <0.05). Serum SOD levels remained the same.Conclusion: The expressions of ανβ3 Integrin and LIF are higher due to the provision of Kebar grass extract as well as the combination of Kebar grass and metformin extracts
Salt Production Business Potential in Aceh as Capital for the Coastal Communities Welfare
Authors: Rochwulaningsih Yety
Published: July 2018

This article aims to identify and analyze small-scale salt production business potential in Aceh as one of the areas of salt production support in Indonesia. It is important to discuss in order to be a good and strategic capital to develop and improve Aceh coastal community welfare, of which the poverty rate is the second highest in Indonesia. By applying observation method, comprehensive interview, and focus group discussion, it can be determined that Aceh factually has the potential of marine and fishery resources including small-scale salt production business sector that can be used as a means to overcome the poverty of coastal communities because this sector provides employment for 45.59% productive age population. With quite high production area and small-scale salt production business potential and the number of entrepreneurs of 1,135 people in several regions like Aceh Besar, Pidie, Aceh Utama, East Aceh, etc., it is very rational if the small-scale salt production business becomes one of the gateways to overcome the poverty of coastal communities in Aceh. The development that can be performed is changing the entrepreneurs’ mindset to be the entrepreneur that can develop group business or cooperative by the supports of coaching, advocacy, and technology facilities as well as business capital.
PEREMPUAN DALAM PERSPEKTIF KEBUDAYAAN
Authors: Asmarani Ratna
Published: July 2018

This paper aims to analyze women from a cultural perspective based on R.A. Kartini’s thoughts and struggles. The focus of the study is on R.A. Kartini’s thoughts and struggles concerning the custom of “pingitan” (seclusion), non-schooling culture, and polygamy culture closely related to the life of Javanese noble women. This paper also analyzes the perspective underlying the thinking and struggle of R.A. Kartini. The last discussion critically analyzes R.A. Kartini’s thoughts and struggles to devise a study of feminism that touches the root of Indonesian culture which would be very appropriate to study women's problems in local culture. The result of the study shows that the thinking and struggle of R.A. Kartini are sharpened and hegemonized by Western thinking about emancipation and equality when criticizing the existence of Javanese noble women in the custom of seclusion, non-schooling culture, and polygamy culture.
Szacunek, dystans, inkluzja. Paleta interaktywnych ćwiczeń do lekcji etyki (grupa wiekowa 10–14 lat)
Authors: Marsal Eva , Dobashi Takara , Nowak Ewa
Published: July 2018

Authentic feelings like respect and similar moral emotions already start to develop in preverbal infants. However, our schooling systems offer only very few opportunities to train respectful behavior. Marsal, Dobashi, and Nowak introduce four interactive exercices in order to implement them in the moral and democratic education. All exercices are based on Martens’ Five Finger Method and on the didactic experiences made by authors in Germany, Japan, and Poland too.
Scythian female warriors in the south of Eastern Europe
Authors: Fialko Elena
Published: July 2018

The article is devoted to the funerary complexes of Scythian female warriors in the territory of the European Scythia. Types and sizes of graves, as well as the nature of the funeral rite of Amazons correspond to Scythian canons and de facto do not differ from men’s graves The analysis of the funerary inventory allows us to date them within the second half of the 7th till the 2nd centuries BC.
Technologia krzemieniarska w perspektywie filozofii techniki
Authors: Mugaj Jakub
Published: July 2018

The paper present non-instrumentalist view of technology derived by the work of M. Heidegger, G. Agamben and H. Arendt. This non-utilitarian aspect of technology is used to explain the social meaning of flint working in prehistory. The changes of flint technology related with so-called ‘tool technological revolution’ observed in Neolithic indicate radical shift in social significance of technology. During this period the dichotomous division of work and labor (described by H. Arendt) appear.
Влияние масс-медиа на сознание человека в пьесах Александра Марданя
Authors: Sibirnaya Maria
Published: July 2018

Nowadays the influence comprehension of the mass media as one of the most significant factors affecting contemporary culture, acquires the special significance. All kinds of new information receiving by media channels obtain the stereotyped, frequently repeatedly cultural and axiological orientations, which become fixed in people's consciousness. Skillful manipulation of information makes the power of suggestion from mass media practically unlimited. Therefore, the public opinion is created by the mass media. Being so closely intertwined with the mass media, the modern mass culture is coming through all elements of people's lives. Moreover, it appears in the literary works, which reflect the influence of the mass media on the consciousness, mentality, point of view and decisions of the literature characters, using their set example in the literature. Odessian playwright Aleksander Mardan presents his characters in the context of the events, which entails new circumstances both due to the characters decisions and out of more extensive economic and political changes. One may notice the presence of mass media in the form of music, information broadcasts and press almost in all Mardan's play. One may track out the influence on the character’s consciousness and reveal the difference between the official version and what happened in the real life. Using the performance tool, there is the action in the play showing the influence of the stereotypes implicated by the mass media. The performance reveals not only the stereotypes affection influencing the mentality of the characters, but also the viewers whose interpretation of the play’s direction is not always critical enough. Therefore, the question about the relationship between the society and mass media, about the level of freedom in mass media from the society and concerning the influence exerted by mass media on the modern culture and the human's consciousness is repeatedly presented in Alexander Mardаn’s plays.
Portret Odessy w filmie Michale Boganim „Odessa... Odessa!”
Authors: Siekierska Marta
Published: July 2018

This article aims to answer the question of how the City of Odessa was portrayed in the Michale Boganim's movie Odessa... Odessa! The first part deals withthe phenomenon of the City’s omnipresence in various works of art, along with factorsthat contributed to its prosperity in 19th century. The next part of the article is devotedto the movie’s composition that partially resembles a triptych, collage and musical variation devoted to specific space. Special attention was paid to the original soundtrack, the way of shooting urban landscapes and colors, which combined together contribute to the movies overall nostalgic atmosphere. In the following part, metaphors that underline the passage of time in the movie are enumerated and analyzed. Conclusions concerning Odessians' mental and spiritual exile as well as their vision of imaginary, idealized Odessa, that no longer exists are drawn in the last part.
Образ мирового человека в романе Алексея Иванова „Географ глобус пропил"
Authors: Szubin Roman
Published: July 2018

The article is devoted to a research of archaic models in Alexei Ivanov’s creativity. On the material of the novel entitled Geographer has spent on drink the globe(Geograf globus propil) the images and motifs of rescue, as well as the archaic image of rescue described in Vardan Hayrapetyan’s hermeneutics are revealed. In the center of a research is the main character, another example of an archetype of the Russian literature — the little person. In particular, his uncommon abilities to understand, to decode and interpret are emphasized. The attention is also paid to the hermeneutical model of the communication consisting of three instances: speaking (nature), the listener (who is willfully understanding the pupil) and the interpreter (the teacher) whose efforts supplement the anthropomorphous model of unity — the all-man, the one-man (mirovoj chelovek).
Mikropowieść „Отставший” Władimira Makanina w interpretacji Tatjany Czurlajewej a idee hermeneutyki radykalnej
Authors: Tyczko Krzysztof
Published: July 2018

In the article I compare the interpretation of Vladimir Makanin’s Otstavshiynovel (Отставший) by Tatyana Churlyaeva and the idea of radical hermeneutics, which,in my view, explain Makanin’s works more fully.
Ciało i jego fragmenty w prozie Mikołaja Gogola
Authors: Witczak Krzysztof
Published: July 2018

The article presents a perspective of somatic present in the prose of Nikolai Gogol. The body is treated here as a project — a collection of body fragments. Particular attention is paid to the figure of nose, which occurs in two selected short stories entitledNose and Diary of a Madman. Therefore, any attempt to emancipate the body part is a threat to the need to preserve the face. Nose is a sense of belonging. This part of the body is thus a limit to what we used to be referred to as belonging to us. Its location creates the last bastion of perception, the selfness.
„Chrześcijańska joga”? Słów kilka o modlitwie Jezusowej i hezychazmie
Authors: Brzeziński Bartłomiej
Published: July 2018

The article “«Christian yoga»? A few reflections on the Jesus’ Prayer and hesychasm” is a kind of commentary on the Polish translation of the article “Becoming what we pray...” by Michel Plekon that is presented in the same issue of periodical “Kultury Wschodniosłowiańskie — oblicza i dialog”. Author tried to remind the most important facts and figures connected with the history of the Jesus’ Prayer and hesychasm. Moreover, there are described controversies concerning the physical method that was used by some hesychasts during practice of the Jesus’ Prayer. Additionally, one can readabout the role of the heart in Orthodox theology and prayer tradition of Eastern Church. This role can not be overtaxed because from the point of view of Orthodox theology, the heart is the centre of human being, person. It is not only the physical organ, not only the area of emotions and affections but also the space of intelligence, thoughts and wisdom. But most of all, the heart is the place of mysterious meeting of God and man. In the secret hall of human heart a man can fell silent presence of Transcendence, can fellthe real epiphany of God who unceasingly waits for metamorphosis of human being’smentality, thinking, reason, activity, emotions, relations, who waits for transformation of the whole man.
Życie — polityka — władza. Rytuał dnia codziennego ostatniego cara Rosji Mikołaja II w świetle jego dziennika
Authors: Garczyk Bartłomiej
Published: July 2018

The article concerns the everyday life of Russia emperor Nicholas II, which is seen through the optics of his diary. In the text the plots from the private and official life the last Romanovs tsar — his predilections, occupation, hobby and “state of his soul” are discussed.
Проблема автотеличности языка в романах Виктора Пелевина
Authors: Jaworski Mateusz
Published: July 2018

Viktor Pelevin is one of the most outstanding novelists in contemporary Russian literature. His works are popular with both professional critics and ordinary readers in the whole world. The present paper aims at finding the key characteristics of Pelevin’spoetics. Therefore, the author has decided to employ the notion of reconfiguration, which depicts the complexity of interrelations between the Russian writer’s novels. The conductedanalysis of one of the dominant aspects of this intertextual network — the motif of the autoteleology of language — has revealed a new universe of meanings.
Melioidosis in a patient with type 1 diabetes mellitus on an insulin pump
Authors: Katz Melissa , Smith Simon , Conway Luke , Sinha Ashim
Published: July 2018

Diabetes mellitus is a well-recognised risk factor for melioidosis, the disease caused by Burkholderia pseudomallei, which is endemic in northern Australia and Southeast Asia. We present the initial diagnostic dilemma of a febrile patient from northern Australia with type 1 diabetes mellitus and negative blood cultures. After a 6-week history of fevers and undifferentiated abdominal pain, MRI of her spine revealed a psoas abscess. She underwent drainage of the abscess which cultured B. pseudomallei. She completed 6 weeks of intravenous (IV) ceftazidime and oral trimethoprim/sulphamethoxazole (TMP/SMX) followed by a 12-week course of oral TMP/SMX. We postulate that the likely route of infection was inoculation via her skin, the integrity of which was compromised from her insulin pump insertion sites and an underlying dermatological condition.

Learning points:

Diabetes mellitus is the strongest risk factor for developing melioidosis.

Atypical infections need to be considered in individuals with diabetes mellitus who are febrile, even if blood cultures are negative.

There is heterogeneity in the clinical presentation of melioidosis due to variable organ involvement.

Consider melioidosis in febrile patients who have travelled to northern Australia, Asia and other endemic areas.
Cutaneous squamous carcinoma in a patient with diabetic foot: an unusual evolution of a frequent complication
Authors: Mantovani Alessandro , Teobaldi Ilaria , Stoico Vincenzo , Perrone Fabrizia , Zannoni Marina , Cima Luca , Bruti Massimiliano , Mingolla Lucia , Trombetta Maddalena , Bonora Enzo
Published: July 2018

After basal cell carcinoma, the cutaneous squamous cell carcinoma (cSCC) is the second most frequent non-melanoma skin cancer worldwide, and, classically, arises from the upper coats of the epidermis of sun-exposed areas or from skin areas constantly exposed to a chronic inflammatory stimulus. The occurrence of cSCC seems to be linked to several factors, including exposure to sunlight (or other ultraviolet radiations), immunosuppression, chronic scarring conditions and some familial cancer syndromes. Although the majority of cSCCs are adequately eradicated by surgical excision, a subgroup of cSCC may be linked with an increased risk of recurrence, metastasis and death. The incidence of type 2 diabetes mellitus is constantly increasing worldwide. Importantly, diabetes mellitus is a strong risk factor for cancers (including cutaneous tumors) and is highly related with poor cancer outcomes. At present, in the literature, squamous cell carcinoma developing in association with diabetic foot ulcers has been already reported in some reports; however, additional data are needed to make the clinicians aware of this rare, although possible, complication. Therefore, we herein report an unusual case of an elderly man with T2DM and a positive oncological history, presenting a cSCC involving the skin overlying the first toe of left foot. The growing cSCC appeared approximately 3 years after the appearance of a diabetic ulcer.

Learning points:

Diabetic foot ulcers are an important and severe complication of diabetes mellitus and often can result in foot amputation.

Chronic and non-healing diabetic foot ulcers are often observed in clinical practice.

Clinicians should always take into consideration the malignant degeneration (e.g., cutaneous squamous cell carcinoma) of any chronic non-healing diabetic foot ulcer in elderly T2DM individuals.

Timely surgical resection of a chronic, non-healing diabetic foot ulcer might preclude the development of a cutaneous squamous cell carcinoma.