bluuebunny/crossref_metadata_2025 huggingface dataset:
A Harmonized Dynamic Quality of Service Aware Data Replication Strategy in Cloud
Authors:   Associate professor, HKBK College of Engineering, Bangalore, India., H L Chandrakala , R Dr. Loganathan ,   Professor and HOD/CSE HKBK College of Engineering, Bangalore, India.
Published: September 2019

Cloud computing is that on-demand service in which the computing resources and the information technology like the storage, operating systems, databases, networks, hardware and databases for the whole software of applications have been delivered. Problem Statement: In case of data clouds, there are different algorithms of application which is needed for the various replication algorithms that have been seeking attention recently. This particular distinguishing feature of the algorithm that is simplicity and efficiency of search has been present in case of Harmony Search. Method: The main idea of a replication will be to be able to provide the data replication in several other locations. The Data access will be enhanced using the Data Replication Strategy (DRS). And the decision of where and what the replicate will be NP complete. The work further involves the problem of data replication which has been addressed in cloud using the Harmony search. Result: The harmonized replication performed better in terms of produce bandwidth and saving by about 12.5%. Conclusion: The storage effectiveness has been improved by means of data deduplication and for the experiments, the static, the adaptive and the methods of harmonized replication have been used.
A Trust Based Multipath Routing for Black Hole Attacks with Group Search Optimization Routing
Authors:   Guest Lecturer, Computer Science, Muthurangam Govt. Arts College(Autonomous), Otteri, Vellore, MAHALAKSHMI G. , SURESH Dr.A. ,   M.C.A., M.Phil., Ph.D., SET. PRINCIPAL, Computer Science, SIRI PSG College of Arts and Science for Women
Published: September 2019

The Mobile Ad hoc Network (MANET) is the collection of some mobile devices that communicate with one another without any help from a centralized administration. For this, the energy is an important issue that has to be addressed since the ad-hoc network nodes have a limited battery power. A secure routing in the MANETs is an area of research that is emerging. The designing of a security protocol which is trustworthy for the ad hoc routing is an extremely challenging task owing to all its unique traits. Due to its minimal configuration and its quick deployment, the MANETs are found to be well-suited for situations in the case of an emergency such as the natural disasters or the military applications. This way, a transfer of data among two nodes need some security. A MANET black-hole attack will occur owing to the malicious nodes attracting data packets by means of a false advertisement of a fresh route to its destination. For this work, the trust-based routing along with the packet forwarding probability. For this work, the Ad hoc On-Demand Multipath Distance Vector Routing (AOMDV) protocol is used and for finding the routing path a trust value will be piggybacked with a route request packet. There was yet another novel algorithm for optimization known as the Group Search Optimizer (GSO) algorithm that was proposed inspired by the behaviour of animals. This GSO-AOMDV was for the purpose of improving the performance of the network. The results of the experiment proved that this method proposed could achieve a better performance compared to the other methods.
Multi-Hop Leach using the Great Deluge Optimization in Wireless Sensor Optimization
Authors:   M.E., Ph.D., MISTE., Professor and Principal, J.K.K. Nattraja College of Engineering and Technology, Natarajapuram, Kumarapalayam, Namakkal, TAMIZHARASU Dr. K.
Published: September 2019

The Wireless Sensor Networks (WSNs) today is gaining plenty of attention due to its wide application range. The reduction of consumption of energy of their sensor nodes has been considered to be a crucial challenge for operating the WSNs in the long run. Low-Energy Adaptive Clustering Hierarchy (LEACH) which is an extremely popular technique which can form several clusters by means of employing a distributed algorithm. The Multi-Hop Low Energy Adaptive Clustering Hierarchy (MH-LEACH) has minimized the consumption of energy at the time of transmission of data among the Cluster Heads (CH) and Base Station (BS). The load is further reduced by multi-hop routing wherein packets are duplicated within the network to improve the efficiency of energy for the WSN. A heuristic method of local search is the Great Deluge Algorithm (GDA) which is employed for solving problems in optimization. In this work, a multi-hop LEACH along with the Great Deluge Algorithm that has been proposed for efficiency in clustering of the WSN.
A Hybrid Technique for Health Insurance Fraud Detection on Highly Imbalanced Dataset
Authors:   Research Scholar, Department of Master of Computer Applications, CMR Institute of Technology, AECS, Layout, ITPL Main Road, Bangalore, S K Shamitha , Ilango V ,   Head - Centre of Excellence for Intelligent Human-Computer Interaction (c-IHCI), CMR Institute of Technology, AECS, Layout, ITPL Main Road, Bangalore
Published: September 2019

Health Insurance industry is producing a massive amount of heterogeneous data. Detecting fraud from these data is a challenging task. Highly imbalanced data causes huge challenge to the Insurance Data Analysis. Classification of imbalanced data is a critical issue faced by the fraud detection methodologies. Fraud only covers less than 10% of the whole data. In this study, we use highly imbalanced data and propose a hybrid method for fixing class imbalance problem by using a combination of SMOTE, Cross Validation, and Random Forest. We used Medicare data, which will be applied to various sampling techniques, and further a classification model was built. We observed that SMOTE with Random forest with cross validation produced excellent results. Our model should be capable of identifying all the relevant(fraud) instances, i.e., the model should have a high recall value. SMOTE with Random forest had average recall of 86% and an overall accuracy of 90%, which could be considered as good among the existing models.
Academic Performance Based on Gender using Filter Ranker Algorithms - An Experimental Analysis in Sultanate of Oman
Authors:   Computing Department, Muscat College, Muscat, Sultanate of Oman., Krishnan Dr.Reshmy , Beegum Ms.Hameetha ,   Computing Department, Muscat College, Muscat,Sultanate of Oman, P.C Dr.Sherimon. ,   IT Department, Arab Open University Muscat,Sultanate of Oman
Published: September 2019

Education molds the future society. Student profile analysis in higher education system in sultanate of Oman reveals that drop out cases of students are tremendously increasing for the last few years. Learning environment plays a vital role in providing appropriate teaching methodologies to motivate the skills of the students. Variations in academic performance can be observed based on different educational indicators such as gender, social, economical, cultural and community characteristics. This paper tries to conduct an analysis on the existing data based on educational data mining and tries to make a classification based on gender which helps to adapt necessary teaching methodology to improve the student performance. A data set of 400 students from three colleges in Sultanate of Oman in three consecutive years is taken as case study for this analysis. Since student’s performance is classified as per the data model based on their gender, equal number of male and female data are considered. Data consists of 12 attributes with result as output. Classification of students performance has been achieved using the classification algorithms in WEKA tool. Irrelevant features are eliminated to select subset of input variables in feature selection (FS) algorithm. This is active to improve learning efficiency, predictive accuracy and reduce complexity of learned results. The paper demonstrates gender as the priority attribute to create best data model.
An Examination Of Big Data And Blockchain Technology
Authors:   Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College (Autonomous), Telangana, India, Dhanalakshmi S. , Babu G.Charles ,   Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College (Autonomous), Telangana, India
Published: September 2019

Blockchain technology is the process of development of bitcoin, the blockchain technology as a distributed ledger of cryptocurrency transactions for digitized, decentralized, trusted and secured manner. The mainstream of blockchain technology is bitcoin, bitcoin concept made with ledger of every single transaction, transactions allows for hashing mechanism to verify the large amounts of data. Big data task requires that large amount of computational space, to generate the terabytes of data for ensuring the successful data processing techniques. The major impact on big data analytics requires more number of data and generated data can be depending upon different sectors from different organizations. This paper presents a state of definition, characteristics, transaction process, and applications, along with discussion of big data analytics are introduced. In blockchain technology covers the flaws of big data in fruitful relationship, with the factors of security, transparency, decentralization and flexibility, so that data to be analyze in different and efficient way for organizations all sizes in data analytics form.
Public Opinion on Rainy Season And Its Effects With Special Reference To Chennai
Authors:   ( 131801045, B.A L.L.B ( hons ) 1st year, Saveetha school of law, Saveetha Institute of Medical and Technical Sciences ( SIMATS ), Chennai, Tamilnadu, India., Titus. J Godwin , B Dr. Sreeya. ,   Associate professor, Department of Management Studies, Saveetha school of law, SIMATS, Saveetha Institute of Medical and Technical Sciences(SIMATS), Chennai, Tamilnadu, India.
Published: September 2019

This research study explores about the two different phases of rain. Rain is often considered as a gift from nature . Rain may be inconvenience to some people or even nearly astate sometimes , but it is the lifeblood of plants . The lack of rain causes a great disaster called the drought which is a threat to human life and also every single living being on planet earth. The monsoon season, is the time of year when most of a place’s rainfall occurs. It generally lasts for a month. For the purpose of the study, descriptive research helps to portray accurately the characteristics of particular individual situation or a group. The sampling method used in this study to collect the samples is Called convenience sampling method. The sample size is 1480 . The statistical tools used are Independent sample t test , chi-square and ANOVA. The main aim of this study is to know the public opinion on the effects of rainy season in Chennai. This study concludes by stating that if the rainy season is used well there will be no problems .
Public Opinion On Construction In River Beds With Special Reference To Chennai
Authors:   BBA.LLB(hons) 1st year, Saveetha School of Law , Saveetha Institute of Medical and Technical Sciences (SIMATS),Tamil Nadu, India, Preetha D Jeya , B Dr. Sreeya ,   Associate Professor, Department of Management Studies, Saveetha School of Law Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamil Nadu, India.
Published: September 2019

The study is concerning the final opinion on construction in watercourse beds . several countries in land have clear Development management Rules that need construction within a such distance from any water body. Descriptive analysis has been used for the aim of the study. Descriptive research helps to portray accurately the characteristics of particular individual, situations or a group. Convenience sampling methods Is used in this study to collect the samples. The target is to understand concerning the event in watercourse beds of metropolis.
Customer Preference of Western Outlooks in Chennai
Authors:   BA.,LLB(HONS), 1st YEAR, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamil Nadu, India., V Pooja. , B Dr. SREEYA ,   Associate Professor,Department of Management Studies, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamil Nadu, India
Published: September 2019

New generation people have the habit of judging the book by its cover so why this generation people shows most of their interest towards dressing . Especially youngsters love to dress quiet modern. This research paper explains deeply about the impact of western outlooks towards the teenagers in Chennai. Hypothesis was done by questioning various peoples of various sectors . From this it was found that factors like age, gender, occupation and area where people live also plays an important role in giving preference to western outlooks. In this paper statistical tools like correlation, chi square and independent sample T test are used. The paper concluded that today’s youngsters believe in fashion, and feels that their confidence improved with their outlook.
Public opinion on cyber Crime
Authors:   BA.LLB(Hons) 1st year, Saveetha School of Law, Saveetha Institute of Medical Technical Sciences (SIMATS) , Chennai, Tamilnadu, India., Suryan V.S.K. , B Dr. Sreeya ,   Co-Author, Associate Professor Department of Management Studies Saveetha School of Law Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamilnadu, India.
Published: September 2019

Cybercrime, or computer orientated crime, is crime that involves a laptop and a community. Only 38 percent of worldwide agencies claim they're organized to deal with a sophisticated cyber assault. Cybercrimes can be defined as: "Offences which are committed towards individuals or groups of people with a crook motive to intentionally harm the popularity of the victim or reason bodily or mental damage, or loss, to the sufferer directly or circuitously, using current telecommunication networks along with Internet (networks together with however no longer restricted to Chat rooms, emails, word boards and organizations) and cell telephones (Bluetooth/SMS/MMS)" Descriptive analysis is used. Convenience sampling method is used for selecting sample size 1480 samples. Independent variable such as age, gender, and educational qualification are used. Percentage analysis, chi square, correlation, independent sample t test, and ANOVA used for the study.
Customer Preference Towards Soft Drinks In Chennai
Authors:   BBA. LLB (Hon’s) 1st year, Saveetha School Of Law, Saveetha Institute Of Medical And Technical, Sciences (Simats), Saveetha University, Chennai, Tamil Nadu, India., Imayavarthini.T Boomika , B Dr. Sreeya ,   Associate Professor, Department of Management Studies, Saveetha School Of Law, Saveetha Institute Of Medical And Technical, Sciences (Simats), Saveetha University, Chennai, Tamil Nadu, India.
Published: September 2019

Enthusiasm for soft drinks utilization has expanded after a sensational ascent in admission over late years. Research to date has concentrated principally on general patterns in utilization or on understanding the component by which soda pop utilization might be connected to weight gain. Throughout the years, various investigations have been led into the connections between soda pop admission and therapeutic issues, the aftereffects of which, nonetheless, remain exceptionally challenged. In any case, subsequently, expanding accentuation is being put on the wellbeing properties of soda pops, by both the business and the shoppers, for instance, in the extending zone of utilitarian beverages. Broad enactment has been set up to guarantee that soda pops makers adjust to set up national and universal measures. Shoppers assume that the sodas they purchase are protected and their quality is ensured. This paper gives an expansive diagram of accessible logical learning and refers to various investigations on different parts of sodas and their suggestions for wellbeing security. Specific consideration is given to fixings, including fake flavorings, colorings, and additives and to the lesser known dangers of microbiological and concoction sullying amid handling and capacity. Descriptive research on customer preference towards soft drinks in Chennai. Convenient sampling method is used in this study to collect the sample.1450 samples are recorded. The independent variables used are age, gender, educational qualifications, monthly income, and area. The dependent variables used are soft drinks brands, consumption of carbonate drinks, price of fresh juice, availability of soft drinks. The objective is to understand the factors affecting customer preference towards soft drink. The statistics used are independent sample t test, correlation, chi square test. It is concluded that Therefore the marketeer ought to comprehend the strategies to activate the soft drinks items among the buyers.
Social Media: Boon Or Bane For The Youngsters In Chennai
Authors:   B.B.A.,L.L.B(HONS), 1st YEAR, Saveetha school of law Saveetha Institute of Medical and Technological Sciences ( SIMATS ), Chennai, Tamilnadu, India., S J Anakha , B Dr. Sreeya ,   Associate Professor, Department of Management Studies, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamilnadu, India.
Published: September 2019

Social media is turning into a fundamental piece of everyone's life in 21st century. It is a dubious theme in the present society. Social media assumes a vital part in each understudy's life. It is less demanding and helpful to get to data, give data and convey by means of social media . Social media has made correspondence significantly more less demanding than any other time in recent memory. Presently, with a bit of a catch, people could speak with anyone and anyplace on the planet. Sites, for example, Facebook makes correspondence with others a simple undertaking. The objective of this study was to find the positive and negative impact of social media among the younger section of the society. This study has been done on 1450 respondents. The type of research used in this study is descriptive research. The sampling method used in this research study is convenient sampling to collect the samples. This study concludes that social media is a mixture of boon and bane.
Impact of Brand Loyalty on Consumers Packaged Milk Products In Chennai
Authors:   BBA.LLB(hons)1st year, Saveetha School of Law, Saveetha Institute of Medical and Technical Science(SIMATS),Tamil Nadu, India., G Angujanani. , B Dr. Sreeya ,   Associate Professor , Department of Management Studies, Saveetha Institute of Medical and Technical Science(SIMATS),Tamil Nadu, India.
Published: September 2019

Brand loyalty is refers to positive feeling towards the brand and the continuous purchase of particular brand products..It various from place to place depending on quality, reliability, service, durability etc. The main objectives of this study is to study the factors influencing brand impact of milk among rural and urban consumers and to analyse the problems faced by rural and urban consumers in the usage of different brands of milk and to find out the reasons for switchover from one brand to other brand of milk. Descriptive research is used with convenient sampling method, in this study. The research was conducted in Chennai with 1450 respondents .Primary data is collected through questionnaire schedule and secondary data was selected from journals. The research found that brand loyalty have a positive association among the people. The study concludes that impact of brand loyalty among people on packaged milk products differs from person to person.
Building Semantic Information Mediator Runtime Application using Native API From Heterogeneous Data Sources
Authors:   Assistant Professor, Department of Computer Science Engineering, Babu Banarasi Das Engineering College, Lucknow,Utter Pradesh, India., Mishra Sumit Kumar , Singh V.K. ,   Professor & Director, Department of Computer Science Engineering, Babu Banarasi Das N.I.I.T. College, Lucknow, Utter Pradesh, India
Published: September 2019

Semantic Information Mediator Runtime Application Using Native API(S.I.M.R.A.N.) is Artificial Intelligence based android mobile Application in which the agent is assigned to perform a particular operation or task. It is like an intermediate agent for the user who want to search the string and check given string matched or not. In this paper author provide a proposed model which is able to perform searching based on artificial Intelligent including semantic web features also
Advances in Motion Detection and Tracking of Human as a Target
Authors:   Asst. Professor, Department of Computer Science and Engineering, Theni Kammavar Sangam College of Technology Theni, Tamilnadu, India., Biju J. , Shanthi Dr. D. ,   Professor and Head, Department of Computer Science and Engineering, PSNA College of Engineering & Technology, Dindigul, Tamilnadu, India.
Published: September 2019

Motion estimation of a target is the major area with higher computational complexity in video processing. It is the progression of discovery the motion patterns that describe the transformation from one frame to another in a sequence of video. Therefore, it is reasonable to carry out motion estimation only where movement is present. Image data in an image series remains mostly the same between frames along the target motion. To make use of the image statistics redundancy in image sequences, there is a need to guess motion. Motion estimation is valid for video compression improvement, stereo correspondence, object tracking and finding optical flow. Many precise methods have been proposed in the framework of one or more of these applications. Most motion estimation algorithms either operate directly in the image domain or finding the similar metric that measures how alike two pixels or two patches of pixels. In this paper, a review of a variety of motion estimation technique is presented.
探究双层股权结构对上市公司的影响———以小米集团为例
Authors: 朱 佳
Published: September 2019

随着资本市场的飞速发展，股权相争与恶意收购事件频频发生，创始人及其团队为掌控公司控制权，越来越多的采用双层股权结构上市。论文采用案例研究法，对在中国香港证券交易所成功上市的小米集团所采用的双层股权结构对公司的影响进行研究。
A Pragmatic Clinical Trial to Compare the Real-World Effectiveness of V-Go versus Standard Delivery of Insulin in Patients with Advanced Type 2 Diabetes
Authors: Cziraky Mark J. , Abbott Scott , Nguyen Matt , Larholt Kay , Apgar Elizabeth , Wasser Thomas , Strange Poul , Shi Leon , Harrison H. Courtenay , Everitt Beverly , Nowak Lynn
Published: September 2019

Background: Many patients with type 2 diabetes mellitus (T2DM) do not have adequate glycemic control, leading to poor patient outcomes and high healthcare costs.

Objective: This prospective pragmatic clinical trial evaluated V-Go, a wearable insulin delivery device, compared with standard treatment optimization (STO) among insulin-treated patients with T2DM in a realworld, community-based practice setting.

Methods: Study sites, rather than individual patients, were randomized to V-Go or STO via cluster randomization. Patients were treated according to routine clinical practice and followed up to 4 months. T2DM medications and supplies were purchased utilizing usual insurance and co-pay systems. The primary analysis was an unadjusted treatment group comparison of glycosylated hemoglobinA1c (HbA1c) change from baseline to end of study (EOS). A cost of therapy analysis was completed on patients who had received comparable baseline T2DM treatment with multiple daily basal-bolus insulin injections (MDI).

Results: Analysis included 415 patients (169 V-Go, 246 STO) enrolled from 52 US sites. Mean baseline HbA1c (9.6%) was higher in V-Go (9.9%, range 8.0% - 14.2%) than STO (9.3%, range 7.9% - 13.9%, p <.001). HbA1c decreased from baseline to EOS in both V-Go (-1.0%, p<.001) and STO (-0.5%, p<.001); V-Go had significantly larger decrease (p=.002). V-Go had a significant reduction (p<.001) in mean insulin total daily dose (TDD; 0.76 U/kg baseline, 0.57 U/kg EOS), not seen in STO (0.72 U/kg baseline and EOS). The MDI group included 95 (56.2%) V-Go and 113 STO (45.9%) patients. Mean baseline HbA1c was significantly higher in V-Go (9.9%) than STO (9.4%). V-Go also experienced larger decrease in HbA1c from baseline (-1.0%) than STO (-0.36%) (p=.006) with a decrease in TDD, while STO TDD remained unchanged. EOS mean per patient per day cost of diabetes treatment was lower for V-Go ($30.59) vs STO ($32.20) (p=.006). V-Go was more cost effective than STO ($24.02 per 1% drop in HbA1c vs $58.86, respectively).

Conclusions: This pragmatic clinical trial demonstrated improved HbA1c levels, lower cost, and decreased insulin dose in patients with T2DM initiating V-Go vs STO in a real-world community-based practice setting. Observed baseline HbAlc indicated use of V-Go in more difficult to manage diabetes patients.
Pilot Study on the Experiences of Hurricane Shelter Evacuees
Authors: DiGrande Laura , Bevc Christine , Williams Jessica , Carley-Baxter Lisa , Lewis-Owen Craig , Triplett Suzanne
Published: September 2019

Community members who evacuate to shelters may represent the most socially and economically vulnerable group within a hurricane’s affected geographic area. Disaster research has established associations between socioeconomic conditions and adverse effects, but data are overwhelmingly collected retrospectively on large populations and lack further explication. As Hurricane Florence approached North Carolina in September 2018, RTI International developed a pilot survey for American Red Cross evacuation shelter clients. Two instruments, an interviewer-led paper questionnaire and a short message service (SMS text) questionnaire, were tested. A total of 200 evacuees completed the paper survey, but only 34 participated in the SMS text portion of the study. Data confirmed that the sample represented very marginalized coastline residents: 60 percent were unemployed, 70 percent had no family or friends to stay with during evacuation, 65 percent could not afford to evacuate to another location, 36 percent needed medicine/medical care, and 11 percent were homeless. Although 19 percent of participants had a history of evacuating for prior hurricanes/disasters and 14 percent had previously utilized shelters, we observed few associations between previous experiences and current evacuation resources, behaviors, or opinions about safety. This study demonstrates that, for vulnerable populations exposed to storms of increasing intensity and frequency, traditional survey research methods are best employed to learn about their experiences and needs.
Using the Tilted flat-ΛCDM and the Untilted Non-flat ΛCDM Inflation Models to Measure Cosmological Parameters from a Compilation of Observational Data
Authors: Park Chan-Gyung , Ratra Bharat
Published: September 2019

We use the physically consistent tilted spatially flat and untilted non-flat ΛCDM inflation models to constrain cosmological parameter values with the Planck 2015 cosmic microwave background (CMB) anisotropy data and recent SNe Ia measurements, baryonic acoustic oscillations (BAO) data, growth rate observations, and Hubble parameter measurements. The most dramatic consequence of including the four non-CMB data sets is the significant strengthening of the evidence for non-flatness in the non-flat ΛCDM model, from 1.8σ for the CMB data alone to 5.1σ for the full data combination. The BAO data is the most powerful of the non-CMB data sets in more tightly constraining model-parameter values and in favoring a spatially closed universe in which spatial curvature contributes about a percent to the current cosmological energy budget. The untilted non-flat ΛCDM model better fits the large-angle CMB temperature anisotropy angular spectrum and is more consistent with the Dark Energy Survey constraints on the current value of the rms amplitude of mass fluctuations (σ
8) as a function of the current value of the nonrelativistic matter-density parameter (Ω
m
) but does not provide as good a fit to the smaller-angle CMB temperature anisotropy data, as does the tilted flat-ΛCDM model. Some measured cosmological parameter values differ significantly between the two models, including the reionization optical depth and the baryonic matter density parameter, both of whose 2σ ranges (in the two models) are disjointed or almost so.
Cosmic Reionization On Computers: Reionization Histories of Present-day Galaxies
Authors: Zhu 朱涵 Hanjue 珏 , Avestruz Camille , Gnedin Nickolay Y.
Published: September 2019

We examine the reionization history of present-day galaxies by explicitly tracing the building blocks of halos from the Cosmic Reionization On Computers project. We track dark matter particles that belong to z = 0 halos and extract the neutral fractions at corresponding positions during rapid global reionization. The resulting particle reionization histories allow us to explore different definitions of a halo’s reionization redshift and to account for the neutral content of the interstellar medium. Consistent with previous work, we find a systematic trend of reionization redshift with mass—present day halos with higher masses have earlier reionization times. Finally, we quantify the spread of reionization times within each halo, which also has a mass dependence.
Nonequilibrium Ionization Effects on Coronal Plasma Diagnostics and Elemental Abundance Measurements
Authors: Shi Tong , Landi Enrico , Manchester Ward
Published: September 2019

Plasma diagnostics and elemental abundance measurements are crucial to help us understand the formation and dynamics of the solar wind. Here we use a theoretical solar wind model to study the effect of nonequilibrium ionization (NEI) on plasma diagnostic techniques applied to line intensities emitted by the fast solar wind. We find that NEI almost always changes the spectral line intensities with up to 120% difference for the lighter elements and for higher charge states of Fe even below 1.5 solar radii (R

s
). The measured plasma density, temperature, and differential emission measure are only slightly affected by NEI. However, NEI significantly affects the first-ionization potential (FIP) bias and abundance ratio measurements, producing an error of up to a factor 4 at 1.5 R

s
for the Mg-to-Ne, Fe-to-S, and Ar-to-Fe ratios when EI is assumed. We conclude that it is very important to consider the NEI effect when spectral line intensities are synthesized and the FIP bias and elemental abundance are measured.
The Greenhouse Effect in Buried Galactic Nuclei and the Resonant HCN Vibrational Emission
Authors: González-Alfonso Eduardo , Sakamoto Kazushi
Published: September 2019

Recent interferometric observations have shown bright HCN emission from the ν
2 = 1 vibrational state arising in buried nuclear regions of galaxies, indicating an efficient pumping of the ν
2 = 1 state through the absorption of 14 μm continuum photons. We modeled the continuum and HCN vibrational line emission in these regions, characterized by high column densities of dust and high luminosities, using a spherically symmetric approach, simulating both a central heating source (active galactic nucleus, AGN) and a compact nuclear starburst (SB). We find that when the H2 columns become very high, N
H2 ≳ 1025 cm−2, trapping of continuum photons within the nuclear region dramatically enhances the dust temperature (T
dust) in the inner regions, even though the predicted spectral energy distribution as seen from the outside becomes relatively cold. The models thus predict a bright continuum at millimeter wavelengths for a luminosity surface brightness (averaged over the model source) of ∼108
L
⊙ pc−2. This greenhouse effect significantly enhances the mean mid-infrared intensity within the dusty volume, populating the ν
2 = 1 state to the extent that the HCN vibrational lines become optically thick. AGN models yield higher T
dust in the inner regions and higher peak (sub)millimeter continuum brightness than SB models, but similar HCN vibrational J = 3–2 and 4–3 emission owing to both optical depth effects and a moderate impact of high T
dust on these low-J lines. The observed HCN vibrational emission in several galaxies can be accounted for with an HCN abundance of ∼10−6 (relative to H2) and luminosity surface brightness in the range (0.5–2) × 108
L
⊙ pc−2, predicting a far-infrared photosphere with T
dust ∼ 80–150 K, in agreement with the values inferred from far-infrared molecular absorption.
Evaluation of biochemical, hematological, RIBA and PCR assays in predicting viremia in anti-HCV positive patients
Authors: Sirin Mumtaz Cem , Cicioglu Aridogan Buket , Sesli Cetin Emel , Sirin Fevziye Burcu
Published: September 2019

Introduction: The detection of HCV-RNA by PCR assays is considered to be the gold standard for confirming the presence of HCV viremia. However, high costs, long and laborious procedures limit their widespread usage. This retrospective study was conducted to assess the predictive performances of biochemical and hematological parameters, anti-HCV signal-to-cutoff (S/CO) ratios and RIBA assay for HCV viremia.

Methodology: Medical records of 210 patients with positive anti-HCV results were analyzed. Samples were tested for anti-HCV by the Roche Elecsys assay. RIBA and PCR assays were performed with Inno-Lia HCV Score test, and Roche Cobas TaqMan HCV test, respectively.

Results: Anti-HCV positive patients were categorized into two groups: positive HCV-RNA(viremic) group (n = 94) and negative HCV-RNA(non-viremic) group (n = 116). All viremic patients had positive RIBA results, while in the non-viremic group, 80 (69%) patients had negative/indeterminate RIBA results and 36 (31%) patients had positive RIBA results. Compared with the non-viremic group, the viremic group had significantly higher alanine aminotransaminase (ALT), aspartate aminotransferase, gamma-glutamyl transferase, mean platelet volume, platelet distribution width and anti-HCV levels, and significantly lower platelet count and plateletcrit levels (p < 0.05). With multivariate logistic regression analysis, serum ALT and anti-HCV levels were found to be strong predictive factors for HCV viremia. A S/CO ratio of ≥ 12.34 was identified as the optimal anti-HCV level to predict viremia.

Conclusions: An anti-HCV S/CO ratio of 12.34 can determine the necessity for PCR assay, when carefully evaluated together with the biochemical and hematological evidence. This approach may reduce the cost of diagnosis particularly in low-resource settings.
Differences in Total Score of Positive and Negative Syndrome Scale between Bataknese and Javanese Men with Schizophrenia Receiving Risperidone Treatment
Authors: Pardosi Manahap Verarius F. , Loebis Bahagia , Husada Muhammad Surya , Nasution Nazli M. , Effendy Elmeida , Amin Mustafa Mahmud , Camellia Vita
Published: September 2019

BACKGROUND: Schizophrenia is a psychopathological syndrome clinic involving cognition, emotion, perception and other aspects from the individual which interferences. This interference is normally started before age 25, and it can affect all social classes.
AIM: To find out the difference in total positive and negative syndrome scale (PANSS) scores in schizophrenia between Bataknese and Javanese who have received treatment with risperidone.
METHODS: This study is a prospective study. This study used numeric comparative analytic two unpaired groups to observe the differences of PANSS score of the man with schizophrenia between Bataknese and Javanese who had received risperidone treatment.
RESULTS: Our study found that the average score of PANSS for Bataknese was 49.76 ± 12.65 and Javanese was 42.43 ± 9.05.
CONCLUSION: There was a difference score of PANSS for the man with schizophrenia between Bataknese and Javanese who had received risperidone treatment for 6 weeks (p = 0.037).
Conservation priorities and distribution patterns of vascular plant species along environmental gradients in Aberdare ranges forest
Authors: Kipkoech Solomon , Melly David Kimutai , Watuma Mwema Benjamin , Mwachala Geoffrey , Musili Paul Mutuku , Hu Guangwan , Wang Qingfeng
Published: September 2019

Distribution patterns of biodiversity and the factors influencing them are important in conservation and management strategies of natural resources. With impending threats from increased human population and global climatic changes, there is an urgent need for a comprehensive understanding of these patterns, more so in species-rich tropical montane ecosystems where little is known about plant diversity and distribution. Vascular species richness along elevation and climatic gradients of Aberdare ranges forest were explored. A total of 1337 species in 137 families, 606 genera, 82 subspecies and 80 varieties were recorded. Correlations, simple linear regression and Partial least square regression analysis were used to assess richness and diversity patterns of total plants, herbs, shrubs, climbers, arboreal and endemic species from 2000–4000 m above sea level. Total plant species richness showed a monotonic declining relationship with elevation with richness maxima at 2000–2100 m a.s.l., while endemic species richness had a positive unimodal increase along elevation with peaks at 3600–3700 m a.s.l. Herbs, shrubs, climbers and arboreal had significant negative relationships with altitude, excluding endemism which showed positive relations. In contrast, both air and soil temperatures had positive relationships with taxa richness groups and negative relations with endemic species. Elevation was found to have higher relative influence on plant richness and distribution in Aberdare ranges forest. For effective conservation and management of biodiversity in Aberdare, localized dynamic conservation interventions are recommended in contrast to broad and static strategies. Establishment of conservation zones and migration corridors are necessary to safeguard biodiversity in line with envisaged global climatic vicissitudes.
Trends in Digital Marketing Capable of Attracting Millennials
Authors: Fonseca Patricia Duarte Rosa da , Gustavo Nuno
Published: September 2019

Comprehending how the new tourist travels and how they search for information is a crucial step for all brands and marketeers. As a result, the analysis of new trends in tourism due to the use of social media, specifically Instagram and the use of digital influencers in marketing strategies, is the prevalent theme of this chapter since these new advances cannot be ignored if a business/destination aims to keep their competitive advantage. The analysis used was based on Quivy's model, through an online questionnaire. The results then showed a positive impact of Instagram's influencers on consumer travel behaviour, in particular when it comes to brand awareness.
The Future of Online Learning and Teaching in Higher Education
Authors: Orakcı Şenol
Published: September 2019

In recent years, rapid developments in the field of science and technology have profoundly affected social lifestyles and have led to significant changes in the process of producing, sharing, and communicating information. Acceleration in the growth rate of knowledge as a result of developments in science and technology has made it necessary to constantly update existing information. Parallel to this, the necessity of the people to follow the information constantly and to continuously update it to keep up with the speed of daily changes tops the agenda. This situation increased the use of information and communication technologies and the internet in the field of education, resulting in the spread of online environments.
Technology-Assisted Formative Assessment
Authors: Irving Karen E.
Published: September 2019

Reliable just-in-time assessments are the foundation of informed teaching and learning. Modern electronic technologies assist in the formative assessment process by supporting classroom environments that allow students and teachers to assess learning and providing mechanisms to present information about student learning during instructional sequences. To implement formative assessment practices, students and teachers benefit from rich educational tasks that invite students to share information about their understanding of the lesson while the lesson is occurring in order to nurture productive learning by both teacher and student. Formative feedback is facilitated by technologies such as connected classrooms, videography, online formative quizzes, and manuscript multi-draft editing. Technology-assisted formative assessment represents a powerful option to promote improved classroom communications that support formative assessment practices for teachers in twenty-first century classrooms.
Higher Education Quality Improvement Strategies Through Enriched Teaching and Learning
Authors: Igbinakhase Idahosa , Naidoo Vannie
Published: September 2019

This chapter focuses on the critical analysis of evidence of higher education improvement strategies in improving teaching and learning in higher education institutions. Several higher education improvement strategies such as preparation for accreditation and student learning assessment has been utilized in the area of teaching and learning in higher education institutions with diverse outcomes. Overall and despite some recorded successes, there still exist some situations where improvement strategies create challenges and conflicts in the institutions as a result of the improvement strategies not serving their defined purpose. Some of these challenges are ineffective teacher professional development initiatives and lack of specifically developed programs designed for specific students' needs. In order to resolve higher education improvement challenges, decision makers in higher educational institutions must be willing to involve key stakeholders in designing the right approach to quality assurance in higher educational institutions.
Examining Oral Performance Characteristics of L2 Learners With the CAF Calculator
Authors: Matsumoto Kazumi , Hirotani Maki , Fukada Atsushi
Published: September 2019

Previous fluency studies typically used small datasets to analyze L2 learners' oral performance with objective fluency measures, and found positive correlation between objective measures and subjective ratings. Findings from a small dataset are difficult to generalize. However, it takes a great deal of time and effort to build a large dataset with various measures. To help facilitate this process, CAF Calculator, which outputs 50 fluency measures, has been developed. In this chapter, CAF Calculator and a workflow to compute fluency measures are introduced along with a study investigating utterance fluency of L2 learners of Japanese at two proficiency levels performing two tasks. The study found significant differences in speed, breakdown, and composite fluency measures between the two groups in both tasks. It also found that task type affects pause locations. It is hoped that the research tools introduced in this chapter will encourage more research on fluency.
Digital Literacy and Motivation
Authors: Vinther Jane , Lauridsen Jørgen T.
Published: September 2019

The contribution of this chapter to the knowledge of motivation in relation to the learning of a foreign language lies in the extensive examination of student attitudes to a detailed field of involved factors. This chapter gives an account of affective factors in the digital classroom on the basis of the level of the digital literacy of the participating students. The digital learning of an L2 is correlated to the level of language learning anxiety, willingness to communicate in the L2, attitude to feedback, and preference for teaching methods. The results show that the level of digital literacy is so high that it should not in itself negatively impact attitude to other factors. The central finding of the investigation is that intrinsic motivation is the strongest motivational drive when compared to other motivational factors.
An Innovative, Information and Communication Technology Supported Approach, Towards Effective Chronic Pain Management
Authors: Kondylakis Haridimos , Hors-Fraile Santiago , Koumakis Lefteris , Kouroubali Angelina , Notas George , Rivero-Rodriguez Alejandro , Sidiropoulos Prodromos , Simos Panagiotis , Katehakis Dimitrios G.
Published: September 2019

Chronic pain is one of the most common health problems affecting daily activity, employment, relationships and emotional functioning. Unfortunately, the lack of specialized health care personnel, and the high heterogeneity in terms of clinical manifestation and treatment results contribute in failure to manage efficiently and effectively pain. Information and communication technology (ICT) can be a valuable tool, enabling patients and healthcare professional empowerment and better self-management of pain. To this direction, this article reports on the design of a novel technical infrastructure to support effectively and efficiently chronic pain management, based on an Intelligent Personal Health Record platform on top of already available ICT tools. The designed platform targets, among others, at improving the knowledge on the patient data, effectiveness and adherence to treatment and providing effective communication channels between patients and healthcare professionals.
Categorizing Live Streaming Moderation Tools
Authors: Cai Jie , Wohn Donghee Yvette
Published: September 2019

Twitch is one of the largest live streaming platforms and is unique from other social media in that it supports synchronous interaction and enables users to engage in moderation of the content through varied technical tools, which include auto-moderation tools provided by Twitch, third-party applications, and home-brew apps. The authors interviewed 21 moderators on Twitch and categorized the current features of real-time moderation tools they are using into four functions (chat control, content control, viewer control, settings control) and explored some new features of tools that they wish to own (e.g., grouping chat by languages, pop out window to hold messages, chat slow down, a set of buttons with pre-written/pre-message content, viewer activity tracking, all in one). Design implications provide suggestions for chatbots and algorithm design and development.
Multilayer Perceptron New Method for Selecting the Architecture Based on the Choice of Different Activation Functions
Authors: Ramchoun Hassan , Idrissi Mohammed Amine Janati , Ghanou Youssef , Ettaouil Mohamed
Published: September 2019

Multilayer perceptron has a large amount of classifications and regression applications in many fields: pattern recognition, voice, and classification problems. But the architecture choice in particular, the activation function type used for each neuron has a great impact on the convergence and performance. In the present article, the authors introduce a new approach to optimize the selection of network architecture, weights, and activation functions. To solve the obtained model the authors use a genetic algorithm and train the network with a back-propagation method. The numerical results show the effectiveness of the approach shown in this article, and the advantages of the new model compared to the existing previous model in the literature.
Enhanced Twofold-LDA Model for Aspect Discovery and Sentiment Classification
Authors: Burns Nicola , Bi Yaxin , Wang Hui , Anderson Terry
Published: September 2019

There is a need to automatically classify information from online reviews. Customers want to know useful information about different aspects of a product or service and also the sentiment expressed towards each aspect. This article proposes an Enhanced Twofold-LDA model (Latent Dirichlet Allocation), in which one LDA is used for aspect assignment and another is used for sentiment classification, aiming to automatically determine aspect and sentiment. The enhanced model incorporates domain knowledge (i.e., seed words) to produce more focused topics and has the ability to handle two aspects in at the sentence level simultaneously. The experiment results show that the Enhanced Twofold-LDA model is able to produce topics more related to aspects in comparison to the state of arts method ASUM (Aspect and Sentiment Unification Model), whereas comparable with ASUM on sentiment classification performance.