bluuebunny/crossref_metadata_2025_split huggingface dataset:
Questionnaire-based Study to Assess Knowledge of Preanalytical Phase of Laboratory Testing Among Trainee Doctors in a Tertiary Care Hospital Medical College
Authors: Kulkarni Kalpana Ketan , Bhandari Anup Pravin , Unni Ashwin Keshavan 
Published: November 2020

Abstract
Objective To determine the knowledge base of common laboratory practices related to preanalytical phase of laboratory testing among medical interns and first-year postgraduate residents in a tertiary care hospital medical college.
Materials and methods Questionnaire-based survey on preanalytical phase of laboratory testing was conducted among 208 participants, who volunteered and were MBBS interns and first-year postgraduate residents in a medical college, over the period from June 2018 to December 2019. A total of 15-item, multiple-choice questions (MCQs) were included, of which four were opinion-based and not considered for analysis. Responses were further categorized based on percentages with correct response, so we could identify specific knowledge points which need training.
Statistical analysis Results were analyzed using Microsoft Excel functions and a simple calculator.
Results A total of 208 participants were included in the study, which consisted of an equal number of interns (104) and first-year postgraduate residents (104). The term “preanalytical error” was known to 62.5% of participants. Only 9.62% participants took formal training in phlebotomy. Topics related to questions like coagulation testing, ideal fasting duration, mixing of blood, and order of draw received less than 40% correct response which meant that it requires more training.
Conclusions In this era of evidence-based medicine, central laboratory plays a pivotal role in patient management, and quality of laboratory results are of paramount importance. Over a period of time, automation technology has reduced analytical phase errors to the minimum. Most errors reported are part of the preanalytical phase, and it has been found that a majority of them are committed due to a lack of knowledge and skills. In order to improve the preanalytical phase and make it as error-free as possible, the staff (technicians, nurses, and trainee doctors) should be constantly motivated and trained.
Occipitoatlantoaxial Malformation in a Dog Treated with a Custom-Made Implant
Authors: Rotter Carina , Rusbridge Clare , Fitzpatrick Noel 
Published: November 2020

AbstractBackground Occipitoatlantoaxial malformation (OAAM) is reported rarely in dogs and few treatment options are described. The congenital condition is thought to be associated with a proatlas re-segmentation failure resulting in malformation and malalignment of the craniovertebral junction which can result in C1 to 5 myelopathic signs.Methods Customized three-dimensional printed locking plate with trajectory screw implantation points for the stabilization of the atlantoaxial joint in a dog with OAAM. The dog was evaluated at time points 0, 2, 6 and 9 months to determine clinical outcome, degree of fusion, implant positioning and subsidence.Results New bone formation was noted 9 months after surgery, but complete fusion remained absent, although no implant failure occurred. Clinically, the dog made a good recovery and was able to exercise normally 9 months after surgery. The only residual deficit was a subtle left-sided cervical torticollis.Clinical Significance This report illustrates a management option and outcome of a dog treated with OAAM. Collaboration between clinicians and engineers provides a new dimension of care for patients with vertebral malformations.
Periarticular Injection of Ketorolac Augmenting Intravenous Administration of Ketorolac for Postoperative Pain Control: A Randomized Controlled Trial in Simultaneous Bilateral Total Knee Arthroplasty
Authors: Laoruengthana Artit , Rattanaprichavej Piti , Mahatthanatrakul Akaworn , Tantimethanon Thanawat , Lohitnavy Manupat , Pongpirul Krit 
Published: November 2020

AbstractAdequate postoperative pain control with minimal side effects is necessary for patients undergoing total knee arthroplasty (TKA). Ketorolac is a frequently used nonsteroidal anti-inflammatory drug due to its excellent disposition in all administration routes; however, it possesses an “analgesic ceiling,” which means that higher doses of the drug have no additional analgesic effect. Alternatively, increasing the local concentration of ketorolac via periarticular injection may provide additional pain relief to parenteral administration of ketorolac, but evidence demonstrating the benefits and safety of this approach is limited. Therefore, this study assesses whether local ketorolac injection could yield additional pain reduction to intravenous administration of ketorolac. A total of 54 patients who underwent simultaneous bilateral TKA were enrolled. Randomization was performed to determine whether 50 mg of bupivacaine plus 30 mg of ketorolac (ketorolac group), or only 50 mg bupivacaine (bupivacaine group) would be periarticularly injected into the first knee operated on (more painful), and then the contralateral knee would receive another mixture. Ketorolac (30 mg) was intravenously given every 8 hours for the first 48 hours. Visual analog scales (VASs) were used to assess pain, knee recovery function, and patients' preferred knee. Postoperative VAS pain scores in the ketorolac group were lower than those in the bupivacaine group 6 to 96 hours postoperatively and reached statistical significance 12 (4.25 ± 2.38 vs. 5.06 ± 2.48, respectively; p = 0.04) and 24 hours (4.22 ± 1.94 vs. 5.30 ± 2.12, respectively; p < 0.01) postoperatively. The ketorolac group had higher degrees of knee flexion and straight leg raise. No patient experienced adverse effects of ketorolac. On the day of discharge, 61.11% of the patients favored the knee that received local ketorolac injection (p < 0.01). Adjunct local ketorolac injection to systemic administration is well tolerated and may improve its analgesic effect as determined by the patients' perception.
Experience with Orbital Tumors from a Tertiary Cancer Centre of North East India: A Pathology Perspective
Authors: Chowdhury Zachariah , Sharma Jagannath Dev , Kakoti Lopa Mudra , Sarma Anupam , Ahmed Shiraj , Hazarika Munlima 
Published: November 2020

Abstract
Background The orbit is an anatomically complex structure comprising the globe, extraocular muscles, fat, vascular, nervous, glandular, and connective tissues. A wide variety of neoplasms can arise from different orbital structures, which can create a diagnostic challenge to the pathologists. No formal study has been conducted in this regard in North East India.
Aim and Objectives This article aims to document the pattern and prevalence of orbital tumors in our institute and assess the utility of histopathological examination (HPE) and immunohistochemistry (IHC) in the precise diagnosis of these neoplasms.
Materials and Methods A retrospective analysis of orbital tumors was performed over a period of 5 years from 2013 to 2018 in the department of pathology at a tertiary cancer center of North East India following all the guidelines of the institutional ethics committee.
Results A total of 35 cases of orbital neoplasms, evaluated by HPE and IHC, were found, all of them being malignant tumors. The age range was 4 months to 85 years. Male to female ratio was 1.5:1. The most common tumor found was lymphoma, accounting for 10 cases (28.6%), all of which were non-Hodgkin lymphoma (NHL). All these cases except one occurred in adults, thus making it the most common tumor in adults in this study. Diffuse large B cell lymphoma, not otherwise specified, was the most common NHL, followed by follicular lymphoma, mature T cell NHL, extranodal marginal zone lymphoma, and B cell lymphoblastic lymphoma. Rhabdomyosarcoma and poorly differentiated/undifferentiated carcinoma jointly were the second most common tumors, totaling seven cases (21.21%) each. This was followed by melanoma (three cases), myeloid sarcoma (three cases), Ewing sarcoma/peripheral neuroectodermal tumor (PNET) (three cases), neuroblastoma (one case), and angiosarcoma (one case). Among these, rhabdomyosarcoma, granulocytic sarcoma, Ewing sarcoma/PNET, and neuroblastoma exclusively troubled the children. IHC markers including the lymphoma panel, and soft tissue ones were crucial in the precise diagnosis of the neoplasms encountered.
Conclusion A variety of malignant orbital tumors may be seen in clinical practice. Management of these tumors requires a multidisciplinary approach. HPE in conjunction with IHC evaluation is of utmost importance in the veracious recognition of orbital tumors for their proper management.
Comparison of Ketamine and Propofol-Based Regimens for Deep Sedation in Children Undergoing Esophagogastroduodenoscopy
Authors: Akingbola Olugbenga , Srivastav Sudesh K. , Nguyen Michelle , Singh Dinesh , Frieberg Edwin M. , Thibodeaux Amy 
Published: November 2020

AbstractWe retrospectively reviewed the charts of 180 children sedated for esophagogastroduodenoscopy (EGD) with ketamine or propofol-based regimens at our institution. Pre-EGD diagnoses and American Society of Anesthesiology physical status were similar in all subjects. Onset of action and recovery time for both regimens were not statistically significant (p > 0.05). Mean onset of sedation for all patients was 3.85 ± 3.04 minutes, mean Aldrete score was 6.31 ± 0.61, and mean recovery time was 51.85 ± 31.78 minutes (p > 0.05). Sedation-related adverse events observed include apnea, hypoxemia, bradycardia, hypotension, laryngospasm, skin rash, and wheezing. Deep sedation for pediatric EGD is safe if patients are carefully screened and properly monitored.
Richer color vocabulary is associated with better color memory but not color perception
Authors: Hasantash Maryam , Afraz Arash 
Published: November 2020

Significance
The size of color vocabulary of an individual varies dramatically across the population. We systematically harnessed this variance and showed that the number of color names one possesses almost perfectly predicts her/his color memorization ability; however, the size of color vocabulary is not related to one's basic color perception. In addition, it is known that color names are not evenly distributed across the color wheel. We systematically captured this source of variance and showed that color memorization—and not basic color perception—is more accurate for parts of the color wheel described by higher density of color names.
Hsp40 proteins phase separate to chaperone the assembly and maintenance of membraneless organelles
Authors: Gu Jinge , Liu Zhenying , Zhang Shengnan , Li Yichen , Xia Wencheng , Wang Chen , Xiang Huaijiang , Liu Zhijun , Tan Li , Fang Yanshan , Liu Cong , Li Dan 
Published: November 2020

Significance
Protein phase separation is a progressive process of high-ordered assembly in vitro, which can experience dynamic liquid–liquid phase separation (LLPS) followed by maturation into pathological solid fibrils. The latter is closely associated with neurodegenerative disorders, such as amyotrophic lateral sclerosis and frontotemporal dementia. In cells, protein phase separation is tightly regulated to maintain a metastable state of molecular condensates and avoid further aberrant aggregation. However, this regulation process is largely unknown. Our paper demonstrates that Hsp40 (DNAJ) proteins, e.g., Hdj1 (DNAJB1) and Hdj2 (DNAJA1), have a strong ability of LLPS, which enables Hsp40 to incorporate into stress granules, and stabilize the amyloid-forming proteins, e.g., FUS, in the condensed phase-separated state rather than proceeding to toxic aggregation.
Natural hybrid silica/protein superstructure at atomic resolution
Authors: Görlich Stefan , Samuel Abisheik John , Best Richard Johannes , Seidel Ronald , Vacelet Jean , Leonarski Filip Karol , Tomizaki Takashi , Rellinghaus Bernd , Pohl Darius , Zlotnikov Igor 
Published: November 2020

Significance
Using hybrid silica/protein templates, nature has mastered the fabrication of extremely complex macroscopic glass assemblies. Highly symmetric skeletal elements in demosponges are formed following a unique biomineralization mechanism in which polycondensation of an inherently disordered amorphous silica is guided by highly ordered proteinaceous filaments. Here we provide a comprehensive three-dimensional atomistic view of this hybrid assembly. The structure, occurring in the crystalline form in vivo, was measured in situ using the serial crystallography method. Together with a high-resolution transmission electron microscopy and energy-dispersive X-ray spectroscopy study, we provide structural, chemical, and functional information on a naturally forming hybrid mineral/organic crystal.
Nominal borrowings in Tsova-Tush (Nakh-Daghestanian, Georgia) and their
gender assignment
Authors: Wichers Schreur Jesse 
Published: November 2020

Abstract
In this article, the adaptation of borrowed nouns into
Tsova-Tush, an endangered Nakh language spoken in Georgia, is described in
terms of phonology, morphology and in particular gender assignment. It is
shown that Tsova-Tush features a large number of borrowed nouns (44% of a
representative wordlist, similar to percentages for other Caucasian
languages in Haspelmath & Tadmor
(2009)), the vast majority being from Georgian origin.
Furthermore, it is shown that borrowed nouns follow the same complex set of
semantic and phonological tendencies when it comes to assigning their gender
as native nouns do, which in line with Corbett (1991). Finally, it is observed that one of the genders
had stopped being productive.
Enets-Russian language contact
Authors: Khanina Olesya 
Published: November 2020

Abstract
This paper explores the topic of Enets-Russian language
contact from two perspectives: via a thorough description of sociolinguistic
details of the contact (based on sociolinguistic interviews performed by the
author in 2017, complemented by ethnographic data from the 1920s–1940s)
and via an overview of its linguistic consequences for the lexicon,
phonology, syntax, and discourse structures of Enets (based on an extensive
corpus of Enets speech). All consecutive stages of Enets-Russian interaction
are described: very limited contacts with Russian (before the end of the
1930s), start of the russification campaign (1940s–1950s), a transitional period (1960s), and the victory of Russian (from the 1970s onwards). Then
all known instances of linguistic traces of this interaction for Enets are
summarized. They represent both instances of negative borrowing (loss of
phonotactic restrictions in phonology, reduced frequency of complex
structures in subordination) and positive borrowing (loanwords, new
phonemes, reduction as added phonetic realizations of some vowel phonemes,
clause-combining strategies involving Russian conjunctions). Overall, the
linguistic changes that Enets has undergone under the influence of Russian
are not numerous, in particular if the lexicon is set aside, and this is
explained by the very limited duration of the transition period, when both
languages were in active use by the same individuals.
From head-final towards head-initial grammar
Authors: Asztalos Erika 
Published: November 2020

Abstract
Contrary to the commonly assumed view that Udmurt is a
non-rigid head-final language (Vilkuna,
1998), I argue that Udmurt is undergoing an (S)OV>(S)VO change
through the influence of (S)VO Russian, but this change is proceeding more slowly
in the areas where (S)OV Tatar is also spoken. In my survey, younger
speakers of Udmurt produced and accepted head-initial phrases (embedded in
discourse-neutral sentences) to a higher degree than older ones. In an
apparent-time hypothesis approach, this difference may
indicate that Udmurt is undergoing a typological change. On the other hand,
speakers from Tatarstan had a stronger preference for the head-final
variants than the ones from Udmurtia. I suggest that the influence of Tatar
“refrains” the typological change of Udmurt in these areas.
The symmetry group of Feynman diagrams and consistency of the BPHZ renormalization scheme *
Authors: Hao Kun , Shi Kangjie 
Published: November 2020

Abstract
We study the relation between the symmetry group of a Feynman diagram and its reduced diagrams. We then prove that the counterterms in the BPHZ renormalization scheme are consistent with adding counterterms to the interaction Hamiltonian in all cases, including that of Feynman diagrams with symmetry factors.
Cosmetics Customer Segmentation and Profile in Indonesia Using Clustering and Classification Algorithm
Authors: Hartini Sari , Gata Windu , Kurniawan Sigit , Setiawan Hendra , Novel Kadinar 
Published: November 2020

Abstract
The cosmetics business competition in Indonesia is currently increasing so rapidly, cosmetics customers have spread to various brands, and according to taste. The customer for the company is an asset that is very important for business continuity, so that good customer management can increase company revenue. However, it is not easy to manage customers if they cannot read the characteristics of customers, to carry out appropriate business strategies. So that requires a customer analysis method that can provide recommendations for the company. RFM is one of the most widely used analytical methods for analyzing customers through segmentation and profiling of customers. In addition to segmenting, the customer profile is also a very important factor in analyzing customers, ALC is a form of a customer profile that can be used. RFM + ALC method is not easy to do with very large customer history data, so data mining is needed to help conduct the RFM + ALC analysis. Data mining methods using the clustering function with K-Means and the use of the Elbow method to get the most optimal amount of K in the clustering process can be a model used to segment with RFM, as well as the Naïve Bayes and Decision Tree classification methods to determine ALC profile factors the most influential customer. The results of clustering modeling carried out produce two dominant customer segments. While the Naïve Bayes classification model of the ALC factor can provide recommendations for the most influential customer profiles, with the highest level of accuracy with an accuracy value of 65.87% when compared to the Decision Tree.
Comparison of Classification C4.5 Algorithms and Naïve Bayes Classifier in Determining Merchant Acceptance on Sponsorship Program
Authors: Normah  , Yulianti Ita , Novianti Deny , Winnarto Monikka Nur , Zumarniansyah Ainun , Linawati Safitri 
Published: November 2020

Abstract
The large number of merchants that make sponsorship held by the Bank reaches thousands, data mining is used to classifying thousands of data. Naïve Bayes algorithm and C 4.5 are classification algorithms in data mining. The classification results are used as determinant where the merchant deserves to receive the sponsorship program, which potentially provides the source of funds and increase the brand awareness of the company by looking at the performance, transaction amount, total nominal, average daily transaction, average transaction nominal. Comparison results show that The C 4.5 algorithm is the best model for handling case of Merchant eligibility in the Sponsorship Program. This can be proved by looking at the level of accuracy generated on the testing and validation process of the model. Both models have the same AUC value but the C 4.5 algorithm produces a superior accuracy value with a difference of 0.45% compared to Naïve Bayes.
Use Case Points (UCP) with 3 Point in Program Evaluation and Review Technique (PERT) to Estimate Effort Software
Authors: Prayitno E , Siregar J , Dewi Y N , Bachri C , Indriyani L , Ma’arif S 
Published: November 2020

Abstract
Software has an important influence in business to accelerate and manage business processes better. Software development projects and projects in general require precise estimates for good business management and running smoothly. The method of Use Case Points is one of the methods used to estimate object-based software utterances, but there are some disadvantages such as subjective assessment of Technical Complexity Factor (TCF) and Environmental Complexity Factor (ECF) for novice developers who are inexperienced. Three points from the Program Evaluation and Review Technique (PERT) are used at UCP to help estimate the two factors better by modifying both assessment factors. By using 3 PERT points in UCP, it is expected to help novice developers in estimating the size of the software as predicted by experienced developers. Results of the calculation of the estimated software information systems sales of goods in the Madrasah Istiqlal foundation obtained an effort value is 1,011 man-hours.
Sentiment analysis of facebook comments on indonesian presidential candidates using the naïve bayes method
Authors: Syahriani  , Yana A A , Santoso T 
Published: November 2020

Abstract
Sentiment analysis is a very interesting research object to study. Sentiment analysis itself is one branch of textmining whose research focuses on the opinion of a text document. In this study, the author examines the sentiment analysis of facebook commentary of 2 Indonesian presidential real candidates in the 2014. Henceforth in this study, the two candidates are referred to as Presidential Candidate 1 and Presidential Candidate 2, where the numbering sequence is adjusted to the numbering of real election data of president in Indonesia. Here the author chooses to use Facebook comment data on several statuses posted on the 2 official accounts of the Indonesian presidential candidates, because Facebook is a social media that is widely used by Indonesians, it is evident that Facebook’s social media ranks 3rd in Indonesia. In the process of classifying this text using the Naïve Bayes method because this method is very simple, has good performance in many domains and this method is very simple. But the Naïve Bayes method itself, has the disadvantage of being very sensitive to too many features, which can lead to low classification accuracy. To overcome the problems that exist in the Naïve Bayes method, this study uses a combination of feature selection methods, namely information gain and genetic algorithm, the two additional methods serve to improve the accuracy in Naïve Bayes classifier. In addition, in this study the author uses smile-forming character conversion, pre-processing of documents such as transform case, tokenization, Indonesian stopwords, Stemming, Token weighting, then classification and confusion matrix testing. This research produces a positive or negative text classification from Facebook comments. Then the measurement is based on the accuracy of Naïve Bayes before and after the addition of the feature selection method. The evaluation process uses 10 fold cross validation. From the results of the implementation and testing, the Naïve Bayes method with feature selection has an accuracy level of sentiment classification of 83.67% from the previous results of 60.00% here the researcher also displays the ROC curve.
The Implementation of Stream Architecture for Handling Big Data Velocity in Social Media
Authors: Hamami F , Dahlan I A 
Published: November 2020

Abstract
Big data is a term of complex data and difficult to process. It consists of several characteristics called 6 Vs. Many applications generate huge data and grow rapidly in seconds. This kind of data comes from many sources such as social media, Internet of Things, log system, e-commerce and so on. This rapid data should be handled with a different approach in big data solutions. This paper proposes to create stream architecture for big data velocity with open source technologies such as Apache Kafka and NoSQL database. The implementation is to handle massive incoming data from social media with specific keywords from Twitter and ingested to NoSQL Database though stream architecture. Historical data then processed to gain valuable insight for better information.