bluuebunny/crossref_metadata_2025 huggingface dataset:
Culture and Releasing Potentials of Blacksea Sea Trout (Salmo trutta labrax L.)
Authors: KURTOĞLU İLKER ZEKİ , ÇELİKKALE MEHMET SALİH
Published: December 2019

In this study, physiological reaction of the Black Sea trout was aimed to identified, during the Black Sea transferring period to Black Sea (18‰).After salty water treatment of the two similar groups in November, individual morphometric adaptation success was identified. Fish in both groups were sorted evaluated fish parr marks formations, because of smoltification adaptation success. As a result of the analysis, it was observed that Black Sea trout could be successful after total length of 11.5 cm. Experimental fish group, measured as 11 cm mean length and 11.6 g mean weighed were divided two similar groups randomly. Both groups were fedunder the Black Sea salinity and fresh water condition during the November-April period. At the end of the five moth feeding period, mean lengths were reached to15.8±2.79 cm in seawater, 16.1±2.05 cm in fresh water conditions. During the exposure of the required size fish to 18‰ salinity, blood plasma sodium and chlorine ion concentrations were increased in first 3 days, then stabilized after 7th day. Blood potassium ion concentration were decreased until 17th day, then stabilized. When fish were exposed to ocean salty water (30‰), blood ion concentrations were relatively stabilized after 14th day. During the salty water adaptation period, there is no mortality under 18‰ salty water, but totally 10% mortality was observed in 30‰ salty water exposures. As a conclusion, it was determined that Black Sea trout bigger sized than 11.5 cm length could be adapted to Black Sea salinity (18‰), and physiologic adaptation duration could be reached to 17 days. During the releasing applications to the marine water of the Black Sea trout, if 17 day adaptation period of the identified minimum capable sized fish are taken in to consideration, groups’ competition ability and survival rate will be increased.
Use of Worm meal as Animal Protein Source in Fish Feed
Authors: ARIMAN KARABULUT HURİYE , KURTOĞLU İLKER ZEKİ , YÜKSEK TURAN , OSMANOĞLU MUSTAFA İBRAHİM
Published: December 2019

Aquaculture keeps topics of rapid increase in manufacturing amount, economy of feed additives, alternative feed additives, and sustainable supply of feed additives on the agenda. Discontinuity in supply of fish meal being fundamental animal protein source in fish-feed accelerated pursuit for alternative animal protein sources. Earthworms are preferred for the use of domestic and industrial organic wastes as fertilizer in agricultural areas in recent years. Earthworm is a significant animal proteinsource which emerges as final product in this manufacturing. The use of worm meal, which has a significant value in terms of essential amino acid in aquaculture. Total aquaculture production of Turkey in 2015 reached up to 240.334 ton which reveal the increasing need towards animal protein source being a significant component of fish-feed. The aim is to attract attention to the need of researching the effect of worm meal on aquaculture performance. In addition to the use of worms and worm meal in domestic animal feed, research on the use of them in fishfeed also increases rapidly. In this review, importance of the worm and worm meal, and researches conducted with usage potential in fish-feed were discussed. Some resolution advisories for sustainable growth in the amount of aquaculture were presented via worm meal in fish-feed.
Türkiye Kıyısal Sularındaki Sparidae Familyasının Mitokondri DNA Dizilerine Dayalı Çoklu Lokus Filogenisi
Authors: AKSU İsmail , BEKTAŞ Yusuf
Published: December 2019

Mercan balıkları en değerli balık türleri arasında olup tropik ve sıcak
kıyısal sularda geniş dağılım gösteren 33 genusa ait yaklaşık 141 türden
oluşmaktadır. Sparidae içindeki genus ve alt familya ilişkilerini izah
edebilmek için Türkiye kıyı suları için tanımlanan 22 mercan türünün dört
mitokondri DNA bölgesi (16S rDNA, COI, Cyt b
genleri ve kontrol bölgesi)’nin 3562 bç’lik bölgesi analiz edilmiştir. Dört
farklı metot (NJ, MP, ML ve BI) kullanılarak oluşturulan filogenetik ağaçlar
parafiletik alt familyalara sahip Sparidae familyasının monofilisini
göstermiştir. Genetik verilere dayalı olarak Türkiye kıyısal sularındaki sparid
türleri, daha önceki taksonomik hipotezlerin aksine iki ana haplogruba
ayrılmıştır. Elde edilen filogenetik ağaçlar Sparidae familyası içindeki alt
familyaların varlığını desteklememektedir. Bu nedenle morfometrik tekniklerle
belirlenen alt familya düzeyinde yapılanmayı destekleyecek ve bu gruplar içinde
tutarlı olacak birleştirici karakterler araştırılmalıdır. Sparidae familyası
içindeki genuslar arasındaki filogeni yeniden oluşturulmalıdır.
Salarha Havzası Akarsularında Bakteriyolojik ve Yüzey Aktif Madde Kirliliğinin İncelenmesi
Authors: VEREP Bülent , TAŞPINAR ÖLMEZ Büşra , MUTLU Cengiz
Published: December 2019

Salarha havzası akarsularında endüstriyel, tarımsal ve evsel atık
sulardan dolayı oluşabilecek bakteriyolojik ve deterjan kökenli kirliliğin
belirlenmesi amaçlanan bu çalışmada; su sıcaklığı 15,4 ºC (6,9-23,4 ºC), pH 7,78
(4,8-9,7), çözünmüş oksijen 9,5 mg/L (7,09-11,48 mg/L), bulanıklık 15,66 NTU
(5,6-13,7 NTU), iletkenlik 134,55 µS/cm (48,1-1504 µS/cm) ve askıda katı madde
45,03 mg/L (0-389 mg/L) olarak ölçülmüştür. 
Havza sularının evsel atık su kaynaklı deterjan kirliliğinin (anyonik
yüzey aktif madde)  0,53 mg/L (0,08-1,53)
düzeyinde ve az kirli olduğu belirlenmiştir. Bakteriyolojik kirlilik seviyesi
ise toplam koliform 5261 kob/100 ml (4-28000 kob/100 ml), fekal koliform 1825
kob/100 ml (0-12500 kob/100 ml), fekal streptokok1814 kob/100 ml (24-18750
kob/100 ml) ve ayrıca E.coli  bakteri
sayısının  ise 604 kob/100 ml (0-5000
kob/100 ml) olduğu belirlenmiştir. Salarha havzası akarsuları toplam ve fekal
koliform bakteri bakımından II.sınıf yani az kirli, fekal streptokok bakımından
havza suları yüzme suyu kalitesine uygun olmadığı ve E.coli sayısı bakımından ise
rekreatif amaçlarla kullanılamayacak bir su kalitesine sahip olduğu
belirlenmiştir.
Filyos Nehri’nin Fiziksel Su Kalitesi Parametrelerinin İstatistiksel Olarak İncelenmesi
Authors: KÜÇÜKALİ Serhat
Published: December 2019

Filyos Nehri Batı Karadeniz Bölgesi’nde 13300
km2’lik havza alanı ve 312 km’lik uzunluğuyla 41- 4210’E boylamları ve 3175’-33N enlemleri arasında uzanmaktadır. Devrek ve Yenice
ırmaklarının birleşimiyle oluşan Filyos Nehri Çaycuma Vadisi’nden geçerek,
birleşim noktasından 34 km
sonra Hisarönü’nde denize dökülür. Filyos Nehri yıllık ortalama 2.9 km3/yıl
su ve 4.2 milyon ton/yıl sediment taşımaktadır. Aylık ortalama en büyük debi
219.13 m3/s değeriyle Nisan ayında, en düşük debi ise 18.03 m3/sn
değeriyle Eylül ayında gözlenmektedir. Filyos Nehri’nin yıl boyu hidroelektrik
üretim potansiyeli olmasına karşın, günümüzde nehir üzerinde herhangi bir
hidrolik yapı bulunmamaktadır. Bunun en önemli nedenlerinden bir tanesi
akarsuyun hemen yakınında ulaşım yolları ve yerleşim alanlarının bulunması
olarak gösterilmiştir.

Bu çalışmada Filyos Nehri ve yan kollarına
ait debi, akarsu sıcaklığı ve askıdaki sediment taşınım miktarı istatistiksel
olarak analiz edilmiştir. Çalışma kapsamında kullanılan veriler Elektrik İşleri
Etüt İdaresi’nden 1966-2005 yıllarını kapsayan veri dizisinden alınmıştır.
Filyos Nehri’ndeki debinin 2/3’ünü Yenice Irmağı’ndan; 1/3’ünün ise Devrek
Irmağı’ndan geldiği gösterilmiştir. Filyos Nehri’nde debi görülme olasılığı
eksponansiyel olarak azalan bir fonksiyon sergilemiş ve debi değerleri %70
oranında 0–100 m3/s arasında dağılım göstermiştir. Kış mevsiminde
ortalama akarsu sıcaklığı 5.3,
yaz mevsiminde ise 20.6 olmaktadır. Aylık ortalama akarsu sıcaklığı
ortalama hava sıcaklığıyla lineer; askıda taşınan sediment miktarı ise debinin
1.6-2.1 arasında değişen kuvvetleriyle ilişkilendirilmiştir. Bu çalışmada elde
edilen regresyon denklemleri Filyos Nehri’yle ilgili eksik verilerin tamamlanmasında
ve nehrin su kalitesi parametrelerinin tahmininde kullanabilir.
Akarsularda Farklı Kaya Parçaları Düzeneklerinde Oksijen Transferinin Deneysel Olarak İncelenmesi
Authors: KÜÇÜKALİ Serhat
Published: December 2019

Sudaki çözünmüş oksijen (DO), akarsularda suyun kalitesi açısından
bakılan en önemli parametrelerden biridir. Sudaki çözünmüş oksijenin akım
genelinde veya yersel olarak artışı akarsu habitatı açısından çok önemlidir.
Özellikle sanayileşme ve nüfus artışıyla birlikte birçok akarsudaki kirlenme ve
katı madde oranı artmıştır. Bu artış serbest yüzeyden suyun derinliğine doğru
aktarılan oksijenin miktarının azalmasına yol açmaktadır. Daha önce yapılan
çalışmalarda akarsulardaki DO miktarının arttırılması için birçok yapısal çözüm
denenmiştir. Bu su yapıları, akarsulardaki çözünmüş oksijen miktarını arttırmalarına
rağmen, balık dostu oldukları söylenemez. Bu yapılar akarsulardaki akımın ikiye
bölünmesi veya membayla mansap arasındaki ilişkinin kesilmesi gibi ekolojik
sorunlara yol açmaktadırlar. Akarsulardaki DO miktarının arttırılması için
ekolojik hayatı olumsuz yönde etkilemeden, doğada mevcut bazı düzenekler
vardır. Bunlar akarsu içinde yer alan büyük taş parçalarıdır. Bu taş parçaları
akım rejiminde önemli etkilere yol açmakta, oksijen transferi için gerekli olan
hidrolik sıçrama, çevrinti ve ters akımların oluşması gibi hidrolik koşulları
ortaya çıkarmaktadırlar. Bu çalışmada, DO değerleri değişik kaya parçası
düzeneklerinin memba ve mansabında ve çevrelerinde yersel olarak ölçülmüştür.
Deneyler 0.5 m genişliğinde, 0.45 m yüksekliğinde ve 18 m uzunluğundaki tabanı
yatay olan açık kanalda yapılmıştır. Deneyler dört farklı su derinliğinde ve iki
farklı kaya parçası düzeneğinde gerçekleştirilmiştir. Ayrıca kaya parçası
düzenekleri çevresinde elde edilen DO dağılımları eş oksijen eğrileriyle
gösterilmiştir. Bu ölçümler, kaya parçaları çevresinde daha zengin oksijen
bulunan olası bölgeleri göstermiştir.
The impact of crime on security in tourism
Authors: Mataković Hrvoje , Cunjak Mataković Ivana
Published: December 2019

Objectives

Tourism has become one of the main economic sectors of the 21st century. Today, tourism is facing various security threats such as terrorism, crime and potential armed conflicts, and the most common security threat to tourism is crime. The aim of this paper is to analyse how crime affects security in tourism and to describe the consequences of crime for tourism.

Methods

A descriptive method was used in this paper to explain the concept of security in tourism and to analyse the relationship between tourism and crime. The data was drawn from the scientific and professional literature and policy documents on this subject.

Results

The impact of crime on tourism can be seen on two levels: the macro and micro levels. The impact of crime on the macro level refers to its effects on society in general, on the social community or tourist destination, and the impact of crime at the micro level refers to the effects of crime on individuals. The most significant impact of crime on a tourist destination is the negative image of the destination, resulting in reduced tourist demand. The impact of crime on the micro level is evident in the influence on the behaviour and attitudes of tourists, and their decision to visit or revisit a destination where criminal incidents happen.

Conclusions

Crime can have a very negative impact on tourism and security in tourism can not be taken for granted, so it is necessary to make significant efforts to ensure a safe environment for tourists. In order to prevent crime and to create a safe environment for tourists, it is necessary to ensure the cooperation all stakeholders involved in tourism: the tourism industry, local community, national authorities, police and state agencies.
The study of indoor concentrations of organic compounds in school classrooms and
accumulated blood xenobiotic levels in children
Authors: Ulanova T.S , Nurislamova Т.V. , Karnazhitskaya T.D. , Popova N.А. , Maltseva О.А. , Chinko Т.V. , Permyakova Т.S.
Published: December 2019

The analysis of multicomponent chemical composition of atmospheric air and the air of residential and public premises, including school indoor air, is an urgent task of modern hygienic studies devoted to environmental quality and risk assessment of adverse health effects of dangerous chemicals. The priority sources of air pollution inside classrooms are finishing materials (linoleum, wallpaper, varnishes, paints, etc.) and emissions of monomers from furniture made of chipboards processed with polymer resins. The article demonstrates the results of screening tests establishing the levels of airborne toxic organic compounds (phenol, formaldehyde, benzene, toluene, ethylbenzene, and xylene) both inside and outside educational premises affected by various environmental exposures (conditional areas of observation and comparison). To assess the chemical body burden, blood levels of certain chemicals were measured in schoolchildren dwelling in the observation (study) and comparison (control) areas. Blood tests were accompanied by indoor and outdoor air monitoring in the educational establishments. We examined the total of 424 children including 231 students from primary, secondary and high schools of the city of Perm (observation area) and 193 schoolchildren of grades 1–11 living in the town of Kungur (comparison area). We established that the average daily concentrations of phenol and formaldehyde in indoor air in Perm were 2.4 and 5.6 times higher (р < 0.05) than those in Kungur. Outdoor concentrations of phenol and formaldehyde in Perm were 2.6 and 3.7 times higher than those in Kungur. The analysis of blood levels of certain organic compounds in the primary, secondary and high school children in Perm showed significantly higher concentrations of phenol, benzene, and toluene (p < 0.05) (1.5, 1.1, and 1.2 times, respectively). The average blood concentration of formaldehyde in the study group was 1.3 times higher (p < 0.05) than that in children of the comparison area. No significant differences between the comparison and observation groups (p < 0.05) were found in blood levels of xylene and ethylbenzene. Children’s blood concentrations of the identified organic compounds indicate the presence of external sources of exposure to these toxicants.
To the issue of assessing health risks of tobacco smoking for adolescent schoolchildren
Authors: Nenakhov I.G. , Stepkin Yu.I. , Platunin A.V.
Published: December 2019

Nowadays, tobacco smoking is an acute social problem, especially among young people. As a rule, the habit of using tobacco products forms at the school age. The current trend in developing tobacco addiction is not only the decrease in the age at onset of the tobacco use, but also the prevalence of smoking among school-age girls. In combination with other environmental factors, this can not only lead to the development of diseases but also affect their reproductive health in the future. The article describes the results of a sociological study of adolescent schoolchildren, Grades 9–11, of a lyceum in the city of Voronezh and an evaluation of the nicotine intake and exposure among schoolchildren of different ages. The number of cigarettes smoked per day was used as the basis for health risk assessment (age at risk, risk groups, and the time of risk acceleration) according to MR 2.1.10.0033–11, Health risk assessment of lifestyle factors. We established that the age at risk of addiction was 15 years while adolescents smoking more than 10 ± 1 cigarettes per day formed the risk group and the time of the risk acceleration was 3–4 years. Based on the results of our research, we proposed comprehensive actions aimed at the promotion of a healthy lifestyle among adolescents in educational institutions including interaction of schoolchildren with universities, future employers, and parents using mass media, the Internet, and outreach events. The article develops the scientific direction of establishing a method approach to assessing tobacco smoking as a health risk factor for schoolchildren aged 15–18.
Harmonization of hygienic standards for chemical drinking water contaminants:
relevance and main emphases
Authors: Kriyt V.E. , Sladkova Yu.N. , Volchkova O.V. , Smirnov V.V. , Ananyev V.Yu. , Mustafina I.Z.
Published: December 2019

Drinking water of proper chemical and organoleptic quality, epidemically and radiologically safe and in sufficient quantity is one of the principal determinants of public health. Currently, the requirements for chemical water quality of the centralized drinking water supply in the Russian Federation are established by SanPiN 2.1.4.1074–01 and GN 2.1.5.1315–03. Despite the fact that both regulatory documents apply to drinking water, they contain different maximum permissible concentrations (MPC) of many chemicals. This ambiguity impedes the choice of standard values and leads to inconsistencies in drinking water quality assessment. Both national and foreign water quality standards have a single regulatory principle but the number and list of regulated chemicals and their standard values in different countries vary considerably. It is essential to develop hygienic standards that combine national and international experience in regulating drinking water quality. We compared Russian hygienic standards for chemical drinking water contaminants with appropriate foreign standards in order to resolve the issue of the necessity and possibility of their optimization.
State-of-the-art molecular genetic techniques in surveillance over intensity of enterovirus infection epidemic process in some constituent entities of the Siberian Federal District
of the Russian Federation
Authors: Sapega E.Yu. , Butakova L.V. , Trotsenko  , Lapa  , Perezhogin  , Shchuchinov  , Khankhareev S.S. , Goryaev D.V. , Salchak L.K. , Romanova T.G.
Published: December 2019

Background. Enterovirus infection is widely spread around the world. It has different epidemiologic and clinical manifestations. However, to date, the amount of accumulated information on the epidemic process of enterovirus infection in different constituent entities of the Siberian Federal district of the Russian Federation is insufficient. Objectives. Our objectives were to investigate characteristics of the enterovirus infection epidemic process in Siberian constituent entities subjected to surveillance using the innovative molecular genetic analysis.
Materials and methods. The analysis of long-term enterovirus infection incidence in the investigated constituent entities of Siberia was performed. The total number of 237 enterovirus strains circulating during 2017-2018 epidemic seasons in the analyzed regions were isolated using sequencing technique. A phylogenetic analysis of the obtained nucleotide sequences was performed. Results. The epidemiologic situation related to enterovirus infection was unfavorable in the majority of the Siberian constituent entities in the past two years. A significant increase in incidence rates was registered in the Irkutsk Region, Zabaykalsky Krai and Altai Republic. We distinguished major manifestations of the enterovirus infection epidemic process including a years-long excess of the national average and a rising trend in the annual incidence rate, prevalence of herpangina, exanthema and enterovirus meningitis in the clinical course of the disease among children aged 3–6. Prevalence of Coxsackievirus A-6 and Coxsackievirus A-9 in the landscape of circulation was revealed in a number of Siberian regions. Group incidence and imported cases were also registered. Discussion. Our results demonstrated the importance of molecular genetic monitoring of circulating enteroviruses as part of the epidemiologic surveillance. This state-of-the-art approach can reveal potential epidemiologic links between cases of the disease.
Distribution of toxoplasmosis among different groups of the population of the Оmsk Region
Authors: Starostina O.Yu. , Patsula Yu.I. , Nurpeisova A.Kh.
Published: December 2019

Objective. Our objective was to study the prevalence of toxoplasmosis among various groups of population in the Omsk Region. Materials and methods. We analyzed statistical data and the results of our own serological tests carried out in 2000–2017. Antibodies to Toxoplasma were determined in 1,926 people (769 citizens and 1,157 villagers). The blood serum was used as the test material. For the detection of IgG and IgA antibodies to toxoplasma, we used locally produced ELISA test systems (“Vector-Best”, Novosibirsk). Results. Antibodies to toxoplasmas were found in residents of all landscape areas of the Omsk Region. In the northern parts of the forest zone, 45.9 % of people had antibodies to toxoplasma; in the southern steppe zone, 64.6 % of people had those antibodies. Urban residents were infected in 17.7 % of cases. There were significant age-related differences in toxoplasma infection in the population of the Omsk Region. The maximum rates of invasion in older age groups were more than 50 % among urban residents and over 70 % in rural areas. Rates of seropositivity of rural children under 15 were 5 times higher than those in urban children. Serological markers of toxoplasmosis were detected in 52.8 % of rural women of childbearing age and in 33.9 % of urban women. Сonclusion. The research results indicated the unfavorable epidemic situation for toxoplasmosis in the Omsk Region. Taking into account the risk of infection for people with immunodeficiency and pregnant women and the possibility to reactivate the invasion even in an immunocompetent organism, it is necessary to study distinctive features of the toxoplasmosis epidemic process in different areas of the Omsk Region and to develop regulatory and procedural documents on prevention of Toxoplasma infection in the population.
The prevalence of different variants of Helicobacter pylori genotypes in families of patients with helicobacter-associated diseases
Authors: Perfilova K.M. , Shutova I.V. , Neumoina N.V. , Neumoina M.V. , Troshina T.A. , Butina T.Yu. , Kuznetsova I.V.
Published: December 2019

The article presents the results of the examination of relatives of the patients with chronic H. pylori-associated gastritis. The genes of H. pylori pathogenicity were investigated by PCR to determine possible intrafamilial transmission of the infection. We established that in families of the patients with chronic gastritis, H. pylori was found in more than 60 % of relatives. The most similar spectrum of the genes of H. pylori pathogenicity was found in the samples of spouses, as well as in the mothers and the children. The study of H. pylori genovariant helps establish the mechanisms and ways of transmission of the infection, identify people infected with the microorganism with the most pronounced pathogenic potential and requiring therapy.
Reconstruction Error Analysis of Skin Lesion Images using Orthogonal Moments
Authors:   Department of Biomedical Engineering, LPU, Phagwara, Punjab, India, Singh Sudhakar , Alam Masood ,   Department of Mathematics and IT, Centre for Prepatory Studies, Sultan Qaboos University,, Urooj Shabana ,   Department of Electrical Engineering, Gautam Buddha University, Greater Noida, U.P., India
Published: December 2019

Orthogonal moments (OMs) are amongst the superlative region centered shape descriptors. These OMs retain lowest facts redundancy. Zernike Moments (ZM) and pseudo Zernike Moments (PZM) are tested with respect to rotation invariance, and scale invariance for skin lesion images. Image reconstruction is executed for various orders of two different orthogonal moments; ZM and PZM. Reconstruction errors are also computed. This paper examines the impact of these errors on the features of OMs and executes a relative study of these errors on the precise calculation of the two major OMs: ZMs and PZMs.
Nature and the Pattern of Menstrual Problems among Adolescent Girls
Authors:   PhD Research Scholar, Dept. of Economics, Vels Institute of Science, Technology and Advanced Studies, Chennai, India., Shakeela* R. , Sugumar Dr.s.n. ,   Dept. of Economics, Vels Institute of Science, Technology and Advanced Studies, Chennai, India.
Published: December 2019

Human health is a prime factor of a Country’s Economic development. Women play a vital role in preserving the Human health and wellbeing of the society. Healthy Women means Healthy World which represents the fact that women are the caretakers of family’s health. Healthy families lead to healthy society. Health of future generation depends on healthy mothers. Menstrual problems are the major issue among women, which has to be handled with utmost priority. Most of the women are suffering from menstrual problems. Every woman in her life time, from menarche to menopause faces at least one or more of menstrual problems. It disturbs day to day life of women. Life style and behavior will be changed as soon as a girl attained puberty. After puberty the girl will experience Physical, Psychological and Emotional challenges in her life. Age at puberty is a turning point in her life and it makes her to have change in her interpersonal relations especially with her friends and counterpart.
Carbon Dioxide Capturing from Natural Gas using Di-glycol Amine and Piperazine – A New Solvent Mixture
Authors:   Petroleum Refinery and Petrochemical Engineering Department, Faculty of Petroleum and Mining Engineering, Enhanced Oil Recovery Laboratory, Suez University, Suez, Egypt: Rehab., El-Maghraby* Rehab M. , Salah Aly A. ,   Gulf of Suez Petroleum Company (GUPCO), Cairo,, Shoaib Abeer M. ,   Petroleum Refinery and Petrochemical Engineering Department, Faculty of Petroleum and Mining Engineering, Suez University, Suez,
Published: December 2019

The effect of adding Piperazine to di-glycol amine (DGA) to reduce the CO2 content in natural gas from 10% to 1% by mole was studied. Aspen HYSYS was used to simulate the process. Different concentrations of DGA (45, 50 and 55%) and Piperazine (3, 5, 7, 9 and 11%) were investigated. The effect of circulation rates variation from 1000 kgmol/hr. to 5000 kgmol/hr. were examined. Moreover, temperature ranges from 38 oC to 80 oC and pressure ranges from 45 kg/cm2 to 80 kg/cm2 were studied for 55% DGA without and with the addition of Piperazine. It was found that adding 9% Piperazine to 55% DGA achieved the best absorption efficiency. By using Piperazine, the circulation rate required to reach the 1% CO2 level was reduced to 3250 kgmol/hr. The amount of captured CO2 was found to increase with the decrease in the lean gas temperature and the increase in absorber pressure.
Twitter Spam Detection using Pre-trained Model
Authors:   School of Information Technology, RGPV, Bhopal, India., Gupta* Ankur , Maravi Yogendra P.S. ,   School of Information Technology, RGPV Bhopal, India., Mishra Nishchol ,   School of Information Technology, RGPV Bhopal, India.
Published: December 2019

In the age of technology social media platform is becoming a great companion for expressing the thoughts, information, and opinion. It became the powerful tool for every person who wants to expand their networks of people beyond the physical boundation. We are living at that age where various categories of social media platform available according to work needed, it may be Facebook, LinkedIn, WhatsApp or Twitter. We are focusing our work on Twitter, It is also known as microblogging site which provides service to express the opinion in limited words. As the popularity of twitter is growing day by day users are joining the platform very fast, as it happens another side many spammers are also taking undue advantages of this platform, for any social media platform it is very important to maintain the secure, safer and trustworthy environment for their legitimate users. Twitter spams are more harmful than e-mail spam because of their higher clickthrough rate, as in the social network if someone trusted some spam a genuine post than it is higher chance that the persons in the network might also trust on that spam post and may click on it. There are plenty of methods available to handle the task of twitter spam detection problem, we are solving this problem of twitter spam at tweet level.Pre-trained models are some breakthrough in the journey of machine learning and natural language processing after their advancement they are of great help. Here we are using Bidirectional Encoder Representation from Transformer (BERT) model to solve the problem as our task is to solve the problem of imbalance dataset as well as the multilingual dataset, BERT makes a clear distinction in this type of task, the main advantage of this type’s model is that we don’t have to collect millions of data for better performance of the machine learning model.
Efficiency of Shear Wall Location on Reinforced Concrete Buildingsin Ethiopia under Seismic Excitation
Authors:   Assistant Professor, School of Civil Engineering & Architecture, Adama Science & Technology University, Adama, Ethiopia, Rawat* Vijay Singh , P Manikandan. ,   Lecturer, Construction Technology and Management, FTVETI, Addis Ababa, Ethiopia
Published: December 2019

Shear walls play a key role in the lateral-load resistance process in high-rise buildings, as well as resisting the lateral loads generated by seismic forces. This paper examines the effect of shear walls in rectangular, L, and U type and their locations in RC building under seismic excitation. Seismic impact is primarily concerned with structural protection, particularly during the earthquake and also with high-rise buildings, ensuring adequate lateral rigidity to withstand seismic loads is very critical. Rectangular, L and U shaped shear walls was analyzed and compared at various location using non-linear analysis. For analysis three models were considered with various above said shapes at different locations of high rise buildings in high seismic regions of Ethiopia. The structure's seismic capacity and demand were analyzed using non-linear pushover analysis based on displacement. Regular in plane and elevation building for this investigation G+7 was targeted to estimate the structure's seismic response and resistance capacity Non-linear dynamic time-history analysis was performed for comparison, by applying 30 artificially generated ground motion for all sample buildings. The capacity curves of the structures, as derived by pushover analysis were compared for buildings with rectangular, L and U shape shear walls using Seismo-Struct software. Also, the performance levels of structures are estimated and compared using Seismo-Struct software to perform non-linear dynamic time-history analysis.
Implicit Landmark Path Indexing for Bounded Label Constrained Reachable Paths
Authors:   School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India., B Bhargavi , Rani K Swarupa ,   School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India.
Published: December 2019

In today’s Big Data era, a graph is an essential tool that models the semi-structured or unstructured data. Graph reachability with vertex or edge constraints is one of the basic queries to extract useful information from the graph data. From the graph reachability with constraints, we obtained the information about the existence of a path between the given two vertices satisfying the vertex or edge constraints. The problem of Label Constraint Reachability (LCR) found the existence of a path between the two given vertices such that the edge-labels along the path are the subset of the given edge-label constraint. We extended the LCR queries by considering weighted directed graphs and proposed a novel technique of finding paths for LCR queries bounded by path weight. We termed these paths as bounded label constrained reachable paths (BLCRP). We extended the landmark path indexing technique [1] by incorporating the implicit paths which satisfy the user constraints but need not satisfy the minimality of edge label sets. We solved the BLCRP by using the extended landmark path indexing and BFS based query processing. We addressed the following challenges through our proposed technique of implicit landmark path indexing in the problem of BLCRP that included (1) the need to handle exponential number of edge label combinations with an additional total path weight constraint, and (2) the need to discover a technique that finds exact reachable paths between the given vertices. This problem could be applied to real network scenarios like road networks, social networks, and protein-protein interaction networks. Our experiments and statistical analysis revealed the accuracy and efficiency of the proposed approach tested on synthetic and real datasets.
Integrated System for Classification of Pulmonary Nodules on CT Images
Authors:   Department of Computer Science and Engineering, Kammavari Sangham Institute of Technology, Visvesvaraya Technological University, Bangalore, India., Mekali* Vijayalaxmi , H. A Dr. Girijamma ,   Professor, Department of Computer Science and Engineering, R. N. S Institute of Technology, Visvesvaraya Technological University, Bangalore, India
Published: December 2019

Mortality rate of lung cancer is increasing very day all over the world. Early stage lung nodules detection and proper treatment is solution to reduce the deaths due to lung cancer. In this research work proposed integrated CADe/CADx system segments and classifies lung nodules into benign or malignant. CADe phase segments Well Circumscribed Nodules (WCN), Juxta Vascular Nodules (JVN) and Juxta Pleural Nodules (JPN) of different size in diameter. This part uses algorithms proposed in our previous WCN, JVN and JPN lung nodules segmentation work. CADx performance classification of segmented WCNs, JVNs and JPNs nodules into benign or malignant. In first part of CADx system hybrid features of segmented lung nodules are extracted and features dimension vector is reduced with Linear Discrimination Analysis. Finally, Probabilistic Neural Network uses reduced hybrid features of segmented nodules to classify segmented nodules as benign or malignant. Proposed integrated system achieved high classification accuracy of 94.85 for WCNs, 97.65 for JVNs and 97.96 for JPNs of different size in diameter (nodules diameter< 10mm, nodules diameter >10mm and < 30mm, nodules diameter >30mm and <70mm). For small nodules achieved classification performance values are, accuracy of 94.85, sensitivity of 90 and specificity of 95.85. And nodules of size 10mm to 30mm obtained accuracy, sensitivity and specificity are 97.85, 97.65 and 94.15 respectively.
Simulation and Performance Analysis of Chaotic Sequences using Enhanced Cuckoo Search Optimization Method
Authors:   Department of Electrical, Electronics and Communication Engineering, GIT, GITAM (Deemed to be University), Visakhapatnam, India., Renu* K. , Kumar P.Rajesh ,   Department of Electronics and communication Engineering, College of Engineering, Andhra University, Visakhapatnam, India,
Published: December 2019

The mostdesirable property required for pulse compression is that the output should have low peak sidelobes that prevent weaker targets from being masked off in the nearby strong targets. Pulse compression can be obtained with matched filter. Matched filter is an optimal linear filter used in radar signal processing and various communication fields to increase the signal to noise ratio. The output of matched filter consists of unavoidable sidelobes which causes false alarm for multiple target detection in many radar system design.For this purpose, mismatched filter is used after matched filter. Inthis paper a new method of design of mismatched filter is discussed which reduces these sidelobes in the compressed waveform. Here new version of cuckoo search algorithm is used along with differential evolution techniquefor complete design of proposed filter to compare the performance of chaotic sequence. The performance of pulse compression is measured in terms of peak sidelobe ratio. The simulation results showthatdevelopmentin the performance of chaotic sequence is obtained at the output of cascaded filter. And further improved performance is achieved with adaptive filters.
Segmentation of Tumor in MRI Brain Images using Morphological Operators and Non-Local Means Filter
Authors:   Electronics and Communication Engineering, Kongu Engineering College, Erode, India, Kumar K* Kavin , Devi T Meera ,   Electronics and Communication Engineering, Kongu Engineering College, Erode, India, R Abirami ,   Electronics and Communication Engineering, Kongu Engineering College, Erode, India, R Akila ,   Electronics and Communication Engineering, Kongu Engineering College, Erode, India, D Ashok ,   Electronics and Communication Engineering, Kongu Engineering College, Erode, India
Published: December 2019

Brain Tumor is the abnormal development of tissues in the brain. According to survey report Times of India, 2019 around 5, 00,000 people are diagnosed with brain tumor in India. Among 5, 00,000 people 20 percent are children. Magnetic resonance image (MRI) used for clinical analysis of human body are sensitive to redundant Rician noise. Rician is the type of noise added during the acquisition of MRI. The removal of noise variance can be performed by constructing many filters. Among those filters, non-local means filter is used for denoising the Rician noise. In this project simulated MRI data and real time clinical data of T1, T2 and Proton Density weighted MRI images are de-noised and the performance metrics is analyzed using PSNR (Peak Signal to Noise Ratio) and SSIM (Structural Similarity Index Metric). The de-noised image is then subjected to thresholding and morphological operators and the tumor region is segmented.
A Compromise Decision Support Multi Objective Travelling Salesman Problem
Authors:   Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Katankulathur,Chennai-603203, India, Leelavathy* T. , Ganesan* K. ,   Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Katankulathur,Chennai-603203, India
Published: December 2019

The multi objective travelling salesman problem simultaneously optimizes several objectives. It is also called as shortest cyclic route model with multiple objectives provides the shortest route. In this article, the compromised decision support solutions are processed for a multi objective travelling salesman problem. The dynamic programming approach for optimal path with state space tree is used to get the shortest route for the objectives. Based on decision maker's preference, the compromised solution for the multi objective travelling salesman problem is obtained. The proposed methodology is very simple and easy way to get the shortest route which is illustrated with an example.
Heart Disease Prediction using Machine Learning Techniques
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Razia* Shaik , Babu J.Chinna ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Baradwaj K. Hemanth ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Abhinay K. S. S. R. ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, M Anusha ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India
Published: December 2019

Nowadays, heart disease has become a major disease among the people irrespective of the age. We are seeing this even in children dying due to the heart disease. If we can predict this even before they die, there may be huge chances of surviving. Everybody has various qualities of beat rate (pulse rate) and circulatory strain (blood pressure). We are living in a period of data. Due to the rise in the technology, the amount of data that is generated is increasing daily. Some terabytes of data are being produced and stored. For example, the huge amount of data about the patients is produced in the hospitals such as chest pain, heart rate, blood pressure, pulse rate etc. If we can get this data and apply some machine learning techniques, we can reduce the probability of people dying. In this paper we have done survey using different classification and grouping strategies, for example, KNN, Decision tree classifier, Gaussian Naïve Bayes, Support vector machine, Linear regression, Logistic regression, Random forest classifier, Random forest regression, linear descriptive analysis. We have taken the 14 attributes that are present in the dataset as an input and applying on the dataset which is taken from the UCI repository to develop and accurate model of predicting the heart disease contains colossal (huge) therapeutic (medical) information. In the proposed research, the exhibition of the conclusion model is acquired by using utilizing classification strategies. In this paper proposed an accuracy model to predict whether a person has coronary disease or not. This is implemented by comparing the accuracies of different machine-learning strategies such as KNN, Decision tree classifier, Gaussian Naïve Bayes, SVM, Logistic regression, Random forest classifier, Linear regression, Random forest regression, linear descriptive analysis
The Third Hand
Authors:   Assistant Professor-Department of Biomedical Engineering, Sathyabama Institute of Science & Technology, Chennai, India., T* Sudhakar. , Christilda.J Jessie ,   Student -Department of Biomedical Engineering, Sathyabama Institute of Science & Technology, Chennai, India., Mary.S Sindhuja ,   Student -Department of Biomedical Engineering, Sathyabama Institute of Science & Technology, Chennai, India., Divakaran Sindu ,   Assistant Professor Department of Biomedical Engineering, Sathyabama Institute of Science & Technology , Chennai, India., R.J Hemalatha. ,   Head & Assistant Professor -Department of Biomedical Engineering,Vels Institute of Science, Technology & Advanced Studies, Chennai, India.
Published: December 2019

One of the modern emerging trends in automation is robotics. Robots have been increasingly used in various industrial and non-industrial environment. Most of the robots are used for assembling and manufacturing units in automobile industries. However, in recent times robots have been replacing humans in hazardous environments in order to protect humans from exposure to dangerous elements. Thus, acting as a helping hand for humans in unviable environments. Our project is to build such a helper robot which can be used by humans to direct the robot to do his/her work in such places. For example, it can be used in pharmaceutical and biochemical industries for experiments involving volatile chemical substances. Another essential use for this type of robot is in the surveillance and maintenance work in nuclear reactors and mining industries. Thus, the robot protects human, increases manpower and work efficiency.
Detection of Renal carcinoma in Ultrasound Images using HOG and SURF features
Authors:   Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India., Thamizhvani* T.R. , Chandrasekaran R. ,   Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India., Dhivya A.Josephin Arockia ,   Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India., R.J Hemalatha. ,   Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India., Babisha D. ,   Department of Biomedical Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India.
Published: December 2019

Cancer can be defined as the abnormal growth of cells in any region of the human. Cancer cells possess a special property called metastasis that involves the movement of cells from one location to another location. Renal cancer is becoming predominant and there are different types. One among them is Renal cell carcinoma mainly occurs in the renal tubules. In this study, ultrasound images are considered for the detection of renal cell carcinoma. The images undergo pre-processing to remove speckle noises. The region of interest is defined using region growing technique. Later Feature descriptors like histogram of oriented gradient features and speeded up robust features are extracted from the segmented region for the analysis of carcinoma. Texture features are also derived along with these descriptors. These features are classified using Adaptive Support Vector Machine for the diagnosis of the renal cell carcinoma from normal images. With the performance of the classifier, it is defined that feature descriptors illustrate the region of carcinoma more effectively.
The Application of Taguchi Method in Optimizing Fabrication of Composite Panel for Particleboard
Authors:   Kolej Kemahiran Tinggi MARA, Petaling Jaya No. 12 Jalan Templer 46000 Petaling Jaya, Selangor, Malaysia., Baharuddin* M.N.M. , Zain Norazwani Muhammad ,   Universiti Kuala Lumpur Malaysia France Institute, 43650 Bandar Baru Bangi, Selangor, Malaysia, Roslin Eida Nadirah ,   Universiti Kuala Lumpur Malaysia France Institute, 43650 Bandar Baru Bangi, Selangor, Malaysia., Harun W. S. W. ,   Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia.
Published: December 2019

This paper titled The Taguchi Method application for mechanical properties in the making of particleboard was one by considering the Modulus of Elasticity (MOE) and Modulus of Rupture (MOR) as a testing parameter. This research was done by using combination of dust wood and fruit from Acacia itself as main materials. It was mixed with Polyurethane (PU) as a resin and Paraffin Wax (PW) as a filler with specific values. This study mainly uses Hot Press Machine (HPM) and the Universal Tensile Machine (UTM) to produce and test specimens. The TGA analysis was used to prove the indicator of temperature before the process of the specimen began. Meanwhile the SEM and EDX testing were used to identify spectrum of chemical content in the specimen after the testing process was done. The Taguchi Method is used to create the design of experiment (DOE) table that contains optimized parameter of experimental results. While to foresee the degree of centrality tests that add to the solidarity of the quality is finished by ANOVA with Minitab 17 programming. The result will be compared with the Japanese Industry Standard (JIS) for MOE and MOR testing. From the research, the optimized formula was A3B3 specimen. The results obtained for MOE was 5134 (MPa) for Modulus Young and the result of MOR was 21.9 (MPa) for Flexural Strength.
Financial Leverage Determinants on the Financial Performance of a Company
Authors:   Department of Commerce, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Murthy* Dr. A V N , Reddy Dr. N Konda ,   Department of Commerce, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Ragamayi Dr. S ,   Department of Commerce, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: December 2019

The focus of the researchers is to examine the relationship between different financial leverage ratios like profitability, tangibility, growth and size to know the strength of the variables to justify financial performance of the company. The study is based on the secondary source of information collected from annual reports, websites, RBI bulletins, money control and CMIE reports. It is understood that the financial ratios are the strength of the financial performance assessment of a company for particular period of time which can be done through a well defined and designed research methodology basing on the facts and figures.