bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sentiment Polarity Classification Using Conjure of Genetic Algorithm and Differential Evolution Methods for Optimized Feature Selection
Authors: Jotheeswaran Jeevanandam , Koteeswaran S. 
Published: September 2018

Background:
Sentiment Analysis (SA) has a big role in Big data applications regarding consumer
attitude detection, brand/product positioning, customer relationship management and market research.
SA is a natural language processing method to track the public mood on a specific product. SA builds a
system to collect/examine opinions on a product in comments, blog posts, re- views or tweets. Machine
learning applicable to Sentiment Analysis belongs to supervised classifi- cation in general.

Methods:
Two sets of documents, training and test set are required in machine learning based classification:
Training set is used by classifiers to learn documents differentiating character- istics; it is
thus called supervised learning.

Results:
Test sets validate the classifier’s performance. Se- mantic orientation approach to SA is
unsupervised learning because it requires no prior training for mining data. It measures how far a
word is either positive or negative. This paper uses a hybrid GA- DE optimization technique for
sentiment classification to classify features from movie reviews and medical data.

Conclusion:
Our research has enhanced the variables on learning rate as well as momentum values
which are optimized by genetic approach that in turn improve the accuracy of classification procedure.
Dexmedetomidine was Better at Lowering Intraocular Pressure than Magnesium when Combined with Local Anesthetics in Peribulbar Blocks for Posterior Segment Eye Surgery
Authors: Ibrahim Dalia Ahmed , Salah Dina 
Published: September 2018

Background and Aim:
Many medications are combined with local anesthetics for peribulbar blocks to improve the quality of the block, however, few studies have compared the effect of dexmedetomidine and magnesium on intraocular pressure when combined with local anesthetics which was the primary endpoint of this double blinded study.

Materials and Methods:
A randomized controlled clinical trial was conducted on 60 ASA Physical Status (ASA PS) I-II patients scheduled for elective posterior segment eye surgeries under peribulbar anesthesia. Patients were randomly allocated to one of three groups of 20 each according to the medications they received. Local anesthetic solution was prepared using 8 ml of bupivacaine 0.5% and lidocaine 2% in a 1: 1 ratio plus 1ml of hyaluronidase (150 units) making a total volume of 9 ml: Group D received: local anesthetic + 20 µg dexmedetomidine diluted with 1 mL of normal saline. Group M received: local anesthetic + magnesium sulphate 50 mg in 1 ml normal saline. Group C received local anesthetic + 1 ml normal saline. Intraocular pressure was measured with the Perkins applanation tonometer immediately before injection and at 1, 5, 10, 15 minutes (min) after injection and then at the end of the procedure, the onset and duration of lid and globe akinesia were assessed. Postoperative analgesia and the first dose of analgesic medication were also assessed.

Results:
Intraocular pressure measurements were statistically lower in group D than the other two groups at 10 and 15mins. The onset of globe and lid akinesia was the most rapid in Group D compared to the other two groups. The duration of globe and lid akinesia was the longest in group D. Time to first analgesic dose request was significantly longer in group D followed by group M then group C. Visual analogue score for pain was significantly less between group D and other two groups. There were no episodes of hypotension or bradycardia in the three groups. No side effects or complications as hemorrhage, globe perforation, brain stem anesthesia sedation were observed.

Conclusion:
In our study addition of dexmedetomidine to a peribulbar block was statistically better at reducing IOP, increasing the duration of optic anesthesia and delaying the need for postoperative analgesic dose request than magnesium.
Assisted learning and auditory intellectual repetition for pupil’s mastery in undha usuk
Authors: Wahyuni Siti , Subiyantoro Slamet , Fadhilah Siti Sutarmi 
Published: September 2018

ASSISTED LEARNING DAN AUDITORY INTELLECTUALLY REPETITION UNTUK PENGUASAAN UNDHA USUK SISWAAbstrakPenelitian ini bertujuan untuk mengetahui keefektifan model assisted learning dan model auditory intellectualy repetition (AIR) terhadap penguasaan undha usuking basa bahasa Jawa pada peserta didik sekolah dasar kelas lima di Sragen. Metode penelitian ini adalah eksperimen. Pengambilan sampel penelitian menggunakan teknik cluster sampling (area sampling) selanjutnya dengan teknik proportionate stratified random sampling berdasarkan nilai akreditasi sekolah antara akreditasi A dan B. Pengumpulan data mengunakan teknik observasi, wawancara, tes, dan dokumentasi. Analisis data dalam penelitian ini menggunakan analisis statistik deskriptif dan inferensial dengan teknik independent samples test. Hasil penelitian menunjukkan terdapat perbedaan keefektifan penggunaan model assisted learning dan AIR terhadap pengguasaan undha usuking basa. Model assisted learning lebih efektif daripada model AIR. Dengan mengkolaborasikan antara hasil analisis deskriptif dan inferensial, diketahui bahwa model assisted learning lebih efektif daripada menggunakan model AIR untuk pembelajaran undha usuking basa. Guru hendaknya menerapkan model pembelajaran assisted learning untuk meningkatkan penguasaan undha usuking basa bahasa Jawa. AbstractThis study was aimed at determining the effectiveness of THE assisted learning model and Auditory Intellectual Repetition (AIR) model on the mastery of undha usuking basa of the fifth-grade elementary school students in Sragen. The study used the experimental method. The samples were chosen using cluster sampling and proportionate stratified random sampling techniques based on the school accreditation status between A and B. The data were collected using observation, interview, test, and documentation. The data were analyzed using descriptive and inferential statistical analyses with independent samples tests. The results show differences between the assisted learning model and AIR model toward the comprehension of undha usuking basa. By collaborating between descriptive and inferential analysis results, it shows that the assisted learning model is more effective than the AIR model for undha usuking basa learning. It can be concluded that the teachers should apply the assisted learning model in the teaching learning process to improve the undha usuking basa comprehension of the students.
Peningkatan Kualitas Arsiparis melalui Personal Branding
Authors: Effendi Ully Isnaeni 
Published: September 2018

Sumber daya manusia (SDM) sebagai penggerak organisasi dituntut untuk mempunyai kualitas yang baik. Perkembangan zaman yang terus berubah menuntut SDM untuk terus berubah, karena peningkatan kualitas SDM menjadi salah satu syarat yang utama, dan hal tersebut berlaku juga bagi arsiparis. Salah satu cara peningkatan kualitas SDM adalah dengan personal branding. Arsiparis dituntut untuk mempunyai personal branding yang lebih baik lagi agar dapat bersaing di pasaran (SDM).
DIREITO À PROTEÇÃO DA SAÚDE PELA VIA JUDICIAL: EM BUSCA DE EFETIVIDADE E EQUIDADE
Authors: Ferreira Marina Costa 
Published: September 2018

Este artigo envolve a pesquisa das vias de materialização do direito fundamental à proteção da saúde orientada pela equidade. Tem sido muito tematizado o potencial discriminatório da intervenção judicial, ao argumento de que privilegia um grupo restrito que tem acionado o Poder Judiciário em busca de proteção, em detrimento do restante da população. Assume-se, por outro lado, que importantes falhas na regulação de saúde e os respectivos problemas de gestão, manifestados pelas deficiências na implementação da políticas existentes, exigem que os tribunais continuem a desempenhar um papel na efetivação do direito à proteção da saúde.Nesse sentido, pretende-se refletir sobre as vantagens do diálogo institucional que promove, ao lado da proteção de direitos sociais, a deliberação democrática, como uma alternativa ponderada favorável ao equilíbrio entre a efetividade das disposições constitucionais, o desempenho adequado da função judicial e o processo político majoritário em matéria de direitos sociais.
RELATION BETWEEN THE QUALITY OF FAMILY RELATIONS OF STUDENTS AND SELECTED FIELD OF STUDY
Authors: Tosic Radev Milica , Todorović Dušan 
Published: September 2018

Early experience, forms of behaviour that parents expressed towards a child and the family environment in which a child grew up have a significant effect on the formulation of attitudes, needs and interests that later on influence professional orientation and the choice of occupation (Roe, 1956).The research was conducted on a sample of 448 students from 6 different faculties and attempt to examine the possible connection between the quality of family relationships of the student and his/her professional interests, evaluated through education type, i.e. through selection of the field of study. The quality of family relationships were operationalized by the Family quality of interactions scale - KOBI (Vulić - Prtorić, 2004).The results indicated differences in the expression of family dimensions between students of different faculties. The students of detached, technical sciences have a weaker feeling of having their mother’s acceptance, while the individuals from the group of students with the strongest feeling of rejection from both parents choose the field of psychology for their studies. Our results indicate the existence of differences between the subsamples of students in their experience of the family that go beyond gender differences, and suggest the need for further, more detailed research which could discover deeper, inner initiators that guide an individual’s choice of profession.
Students’ Perception Of Learning Efficiency and Creativity Towards Students Learning Achievement
Authors: Lussianda Erfa Okta 
Published: September 2018

<p><em>The purpose of this study is to determine the extent to which the students' perceptions of the efficiency of learning and creativity of learning to give effect to the student learning precedence STIE Persada Bunda. This research was conducted at the School of Economics Persada Bunda Pekanbaru. Techniques and data analysis is a descriptive analysis technique. Population amounted to 328 students STIE Persada Bunda with sample of 77 samples. To examine the instruments of this study using questionnaires to obtain analysis of validity, reliability, descriptive analysis, and use statistical analysis of multiple regression analysis as well as testing the hypothesis of T test and F test. The results of this study showed that the hypothesis proposed in this study had a significant effect between perceptions students about the efficiency of learning and learning creativity toward the achievement index. The value of T arithmetic for student perception variable about learning efficiency (X1) is 3,066 significant at level 0,059. Thus it can be seen that T arithmetic &lt;t table is -3.066&gt; 1.992 (sig 0.059 &lt;0.05). For learning creativity variable (X2) The value of t table in</em><em> α</em><em> </em><em> = 0.05 is 1.992. t value is 5,044. so it can be seen that t count&gt; t table, that is 5,044&gt; 1,992. (sig 0.015 &lt;0.05).</em></p>
Did the FASB's Simplification Initiative Increase Errors in Analysts' Implied ETR Forecasts? Evidence from Early Adoption of ASU 2016-09
Authors: Brushwood James , Johnston Derek , Kutcher Lisa , Stekelberg James 
Published: September 2018

ABSTRACT
Part of the FASB's broader simplification initiative, ASU 2016-09 was issued on March 30, 2016 and became effective for all firms for fiscal years beginning after December 15, 2016. ASU 2016-09 simplifies the accounting for the tax effects of stock-based compensation by requiring firms to record all related tax windfalls and shortfalls as components of current income tax expense rather than as direct-to-equity adjustments, as was required under prior guidance. Many observers note this change may introduce significant volatility and uncertainty into firms' ETRs. Consistent with this concern, we document that errors in analysts' “clean” ETR forecasts significantly increased among firms reporting a material ETR effect due to early-adopting ASU 2016-09, relative to other firms. Our results suggest that simplification came at the cost of a decrease in the predictability of tax-related financial information; as such, this study provides timely evidence on an important economic consequence of ASU 2016-09.
The Impact of Regulation on Executive Compensation: IRC Section 162(m) and the Unexpected Exclusion of CFOs
Authors: Balsam Steven , Evans John H. , Yurko Amy J. N. 
Published: September 2018

ABSTRACT
IRC §162(m) originally denied corporations tax deductions for nonperformance compensation in excess of $1 million per executive when paid to the CEO and the next four highest paid named executive officers. Following the 2006 SEC proxy statement revision, which the IRS deemed incompatible with §162(m), the IRS excluded CFOs from §162(m). This exclusion exogenously altered the CFO compensation environment, creating a natural experiment we exploit to examine how §162(m) influences executive compensation. Using a difference-in-differences design, our analysis allows us to draw causal influences generally lacking in prior §162(m) studies. We find that after the IRS exclusion of CFOs, firms increased the nonperformance compensation of CFOs who otherwise would have been affected by §162(m). Consistent with the shift to less risky compensation reducing the risk premium demanded by CFOs, we find some evidence of a reduction in their compensation growth. Our analysis provides evidence that tax policy influences compensation design.
Long-term Glycemic Control and Dementia Risk in Type 1 Diabetes
Authors: Lacy Mary E. , Gilsanz Paola , Karter Andrew J. , Quesenberry Charles P. , Pletcher Mark J. , Whitmer Rachel A. 
Published: September 2018

OBJECTIVE
Individuals with type 1 diabetes have experienced an increase in life expectancy, yet it is unknown what level of glycemic control is ideal for maintaining late-life brain health. We investigated the association of long-term glycemic control with dementia in older individuals with type 1 diabetes.

RESEARCH DESIGN AND METHODS
We followed 3,433 members of a health care system with type 1 diabetes, aged ≥50 years, from 1996 to 2015. Repeated measurements of hemoglobin A1c (HbA1c), dementia diagnoses, and comorbidities were ascertained from health records. Cox proportional hazards models were fit to evaluate the association of time-varying glycemic exposure with dementia, with adjustment for age, sex, race/ethnicity, baseline health conditions, and frequency of HbA1c measurement.

RESULTS
Over a mean follow-up of 6.3 years, 155 individuals (4.5%) were diagnosed with dementia. Patients with ≥50% of HbA1c measurements at 8–8.9% (64–74 mmol/mol) and ≥9% (≥75 mmol/mol) had 65% and 79% higher risk of dementia, respectively, compared with those with &lt;50% of measurements exposed (HbA1c 8–8.9% adjusted hazard ratio [aHR] 1.65 [95% CI 1.06, 2.57] and HbA1c ≥9% aHR 1.79 [95% CI 1.11, 2.90]). By contrast, patients with ≥50% of HbA1c measurements at 6–6.9% (42–52 mmol/mol) and 7–7.9% (53–63 mmol/mol) had a 45% lower risk of dementia (HbA1c 6–6.9% aHR 0.55 [95% CI 0.34, 0.88] and HbA1c 7–7.9% aHR 0.55 [95% CI 0.37, 0.82]).

CONCLUSIONS
Among older patients with type 1 diabetes, those with majority exposure to HbA1c 8–8.9% and ≥9% had increased dementia risk, while those with majority exposure to HbA1c 6–6.9% and 7–7.9% had reduced risk. Currently recommended glycemic targets for older patients with type 1 diabetes are consistent with healthy brain aging.
Cloud Computing Environment: A Review
Authors: Chawla Ishaan 
Published: September 2018

Cloud computing is a vigorous technology by which a user can get software, application, operating system and hardware as a service without actually possessing it and paying only according to the usage. Cloud Computing is a hot topic of research for the researchers these days. With the rapid growth of Internet technology cloud computing have become main source of computing for small as well big IT companies. In the cloud computing milieu the cloud data centers and the users of the cloud-computing are globally situated, therefore it is a big challenge for cloud data centers to efficiently handle the requests which are coming from millions of users and service them in an efficient manner.Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Scheduling is one of the core steps to efficiently exploit the capabilities of heterogeneous computing systems. On cloud computing platform, load balancing of the entire system can be dynamically handled by using virtualization technology through which it becomes possible to remap virtual machine and physical resources according to the change in load. However, in order to improve performance, the virtual machines have to fully utilize its resources and services by adapting to computing environment dynamically. The load balancing with proper allocation of resources must be guaranteed in order to improve resource utility. Load balancing is a critical aspect that ensures that all the resources and entities are well balanced such that no resource or entity neither is under loaded nor overloaded. The load balancing algorithms can be static or dynamic. Load balancing in this environment means equal distribution of workload across all the nodes. Load balancing provides a way of achieving the proper utilization of resources and better user satisfaction. Hence, use of an appropriate load balancing algorithm is necessary for selecting the virtual machines or servers. This paper focuses on the load balancing algorithm which distributes the incoming jobs among VMs optimally in cloud data centers. In this paper, we have reviewed several existing load balancing mechanisms and we have tried to address the problems associated with them.
Seizure etiologic classification and long-term outcome for cats with juvenile-onset seizures
Authors: Qahwash Muna , Heller Heidi L. Barnes 
Published: September 2018

Abstract
OBJECTIVE To identify seizure etiologic classification for cats that developed seizures at < 12 months of age and describe the long-term outcome of affected cats.
DESIGN Retrospective cohort study.
ANIMALS 15 client-owned cats with seizures that began at < 12 months of age.
PROCEDURES Information on each cat was obtained from the medical records, veterinarians, and owners. Inclusion required an onset of seizures before 12 months of age and a complete medical record, including a final diagnosis.
RESULTS 7 of the 15 cats had structural epilepsy, 4 had idiopathic epilepsy, and 4 had reactive seizures. Median age at seizure onset was 27 weeks (range, 0.4 to 41 weeks). Cluster seizures were reported in 6 cats, and status epilepticus was reported in 2. Age at the onset of seizures, presence of cluster seizures, and seizure semiology (ie, generalized vs focal seizures) were not significantly associated with seizure etiologic classification.
CONCLUSIONS AND CLINICAL RELEVANCE Results suggested that cats that developed seizures at < 12 months of age were more likely to have structural epilepsy than idiopathic epilepsy or reactive seizures. Therefore, advanced diagnostic imaging is recommended in cats with juvenile-onset seizures if metabolic and toxic causes are excluded.
Title Case
Authors: Rumetna Matheus Supriyanto 
Published: September 2018

Abstrak Bisnis saat ini mulai bersaing secara global untuk dapat memuaskan pelanggan, sehingga perusahaan membutuhkan akses informasi yang cepat dan akurat. Agar dapat mengakses informasi secara cepat, perusahaan perlu membangun infrastruktur Teknologi Informasi dan Komunikasi (TIK) yang memerlukan modal besar, di sisi lain cloud computing hadir sebagai salah satu solusi alternatif. Layanan yang disediakan oleh cloud computing, diantaranya hardware, infrastruktur, platform, dan aplikasi. Cloud computing sangat bermanfaat, karena dapat mengurangi biaya komputasi, meningkatkan kehandalan serta memberikan peluang yang cukup besar bagi dunia industri TIK. Salah satu perusahaan yang menyediakan jasa layanan cloud computing adalah SalesForce. Tujuan penelitian ini adalah memberikan kajian tentang manfaat penerapan SalesForce App Cloud bagi perusahaan untuk meningkatkan daya saing usaha yang begitu ketat. Penelitian ini menggunakan metode studi literatur, yang diawali dengan identifikasi masalah sampai analisis dan pembahasan yang berkaitan dengan SalesForce App Cloud, dimana hasil dari penelitian ini adalah SalesForce App Cloud dapat membuat model bisnis lebih fleksibel, lebih cepat mengetahui kebutuhan pasar dan konsumen. Kata kunci: TIK, Cloud Computing, SalesForce App CloudAbstract Businesses are now beginning to compete globally to be able to satisfy customers, so companies need access to information quickly and accurately. In order to access information quickly, companies need to build an Information and Communication Technology (ICT) infrastructure that requires large capital, on the other hand cloud computing comes as one alternative solution. Services provided by cloud computing, including hardware, infrastructure, platforms and applications. Cloud computing is very useful, because it can reduce the cost of computing, improve reliability and provide a big enough opportunity for the ICT industry. One of the companies that provide cloud computing services is SalesForce. The purpose of this study is to provide a study of the benefits of applying SalesForce App Cloud for the company to improve business competitiveness is so tight. This study uses literature study method, which begins with problem identification until analysis and discussion related to SalesForce App Cloud, where the result of this research is SalesForce App Cloud can make business model more flexible, faster to know the market and consumer needs. Keywords: ICT, Cloud Computing, SalesForce App Cloud