bluuebunny/crossref_metadata_2025 huggingface dataset:
COVID-19 Pandemic: Oral Health Challenges and Recommendations
Authors: Farook Fathima Fazrina , Mohamed Nuzaim Mohamed Nizam , Taha Ababneh Khansa , Alshammari Abdulsalam , Alkadi Lubna
Published: November 2020

The aim of this article is to shed light on coronavirus disease 2019 (COVID-19) and its oral effects and risk of nosocomial transmission to update the knowledge of dental health care workers. A thorough literature search of the PubMed/Embase/Web of Science/Cochrane central database was conducted to identify the impact of COVID-19 on oral health. We reviewed the recommendations on the recent guidelines set by the Centers for Disease Control and Prevention infection control practices for dentistry, American Dental Association, and the World Health Organization. According to the available evidence, COVID-19 may have a negative impact on the oral health due to the infection itself and due to various other consequences such as therapeutic measures, xerostomia, and other complications of the COVID-19. In light of the above facts, dentists should be wary of the disease, its identification, mode of spread and impacts on the oral health. The dental personnel have been identified as at the highest risk of getting COVID-19 due to cross infection from contact with their patients and aerosols generated in routine dental procedures. As such, they should be aware of the modifications that need to be made to the practice to prevent transmission of the disease. It is evident that COVID-19 has a negative impact on the oral health and at the same time a significant transmission risk to the dental personnel and patients who visit the clinic. If the recommendations issued by the regulatory authorities are meticulously followed, the risk of disease transmission can be lessened.
Burnout y calidad de vida en traumatólogos chilenos: ¿Estamos realmente bien?
Authors: Vaisman Alex , Guiloff Rodrigo , Contreras Martín , Delgado Iris , Calvo Rafael , Figueroa Francisco , Figueroa David
Published: November 2020

Introducción No existen reportes sobre el índice de burnout en traumatólogos que ejercen en Chile.

Objetivo Evaluar la presencia de burnout y otros aspectos de calidad de vida en esa población.

Material y Método Estudio transversal analítico. Encuesta diseñada para conocer el auto-reporte de burnout y síntomas depresivos entre otros factores. Se incluyeron variables demográficas, laborales, sociales, hábitos personales y anímicas. La encuesta fue compartida vía online a miembros de la Sociedad Chilena de Ortopedia y Traumatología. Se realizó análisis estadístico para buscar asociación entre variables, utilizando pruebas de Chi-cuadrado, test exacto de Fisher y regresión logística (p < 0,05).

Resultados Encuesta respondida por 136 especialistas. Rango etario modal menor de 40 años (46,3%), 94,1% hombres. Un 53,7% reportó burnout más de una vez al año, 11% anhedonia, 9,6% ánimo depresivo más de la mitad del mes o casi todos los días y 59,6% cansancio diario. Se encontró asociación significativa entre burnout y edad menor de 40 años (p = 0,004), ausencia de hijos (p = 0,007), dieta no saludable (p = 0,001), anhedonia (p = 0,007), temor a demandas (p < 0,001) y cansancio (p < 0,003).

Conclusión Más de la mitad de los traumatólogos encuestados reportaron burnout más de una vez al año y cerca del 10% presentan síntomas depresivos semanalmente. Una edad menor a 40 años, anhedonia, el temor a demandas laborales y el cansancio al final de la jornada, fueron las variables de mayor impacto en la manifestación del burnout. La presencia de hijos y una dieta saludable fueron factores protectores.
A Case Report: Two Young Children with Long QT Syndrome Type-2 Diagnosed by Presymptomatic Genetic Testing
Authors: Matsushita Yuki , Nagata Hazumu , Ogawa Masanobu , Shikada Sawako , Ishikawa Taisuke , Makita Naomasa
Published: November 2020

Long QT syndromes (LQTSs) can lead to sudden cardiac death, yet these syndromes are often asymptomatic and clinically undetected, despite the prolongation of the QT interval. Currently, when a disease-causing variant is identified in an individual, presymptomatic genetic testing is available and can form part of the recommended cascade testing to identify other family members at risk. We herein report the cases of two daughters who received presymptomatic genetic testing in infancy when the proband mother had been diagnosed with LQTS type 2 (LQT2; c.1171C > T, p.Q391X in KCNH2) after suffering from cardiac arrhythmia at 30 years of age. The daughters had a normal QTc interval, but they carried the same disease-causing variant as their mother. Children with family members who have genetically confirmed LQTS have a high risk of suffering from cardiac events later in life, so genetic testing is required. This poses a complex problem, as guidelines for medical intervention and follow-up systems among asymptomatic children with LQTS have yet to be established. Genetic testing should only be performed after adequate counseling to support children later in life. Individualized long-term genetic counseling is required for both parents and children at stages throughout life.
Pediatric Mortality and Acute Kidney Injury Are Associated with Chloride Abnormalities in Intensive Care Units in the United States: A Multicenter Observational Study
Authors: Khan Aamer H. , Gai Jiaxing , Faruque Farhana , Bost James E. , Patel Anita K. , Pollack Murray M.
Published: November 2020

Our objective was to determine in children in the intensive care unit (ICU) the incidence of hyperchloremia (>110 mmol/L) and hypochloremia (<98 mmol/L), the association of diagnoses with chloride abnormalities, and the associations of mortality and acute kidney injury (AKI) with chloride abnormalities. We analyzed the initial, maximum, and minimum chloride measurements of 14,684 children in the ICU with ≥1 chloride measurement in the Health Facts database between 2009 and 2016. For hyperchloremia and hypochloremia compared with normochloremia, mortality rates increased three to fivefold and AKI rates increased 1.5 to threefold. The highest mortality rate (7.7%; n = 95/1,234) occurred with hyperchloremia in the minimum chloride measurement group and the highest AKI rate (7.7%; n = 72/930) occurred with hypochloremia in the initial chloride measurement group. The most common diagnostic categories associated with chloride abnormalities were injury and poisoning; respiratory; central nervous system; infectious and parasitic diseases; and endocrine, nutritional, metabolic, and immunity disorders. Controlled for race, gender, age, and diagnostic categories, mortality odds ratios, and AKI odds ratios were significantly higher for hyperchloremia and hypochloremia compared with normochloremia. In conclusion, hyperchloremia and hypochloremia are independently associated with mortality and AKI in children in the ICU.
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

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

Background 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

Adequate 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

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

We 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.
Prediction of crystallinity of spunbond webs
Authors: Chen Kailin , Yarin Alexander L. , Pourdeyhimi Behnam
Published: November 2020

Polymer crystallization is accompanied by a partial macromolecular chain alignment process, which has significant effects on the mechanical, thermal, and optical properties of polymer materials. Particularly, the properties of such widely used nonwoven products as spunbond webs are strongly affected by the degree of crystallinity achieved during their manufacturing. The present work aims at predicting the degree of crystallinity of spunbond webs accounting for thermally-driven and flow-induced crystallization coupled with the dynamics and thermal history of spunbond fibers. In principle, the degree of crystallinity could be in the 0–1 range; however, for semi-crystalline polymers, the degree of crystallinity practically saturates at a lower-than-one value. The degree of crystallinity of 100 spunbond fibers is predicted coupled with the fiber evolution and the final three-dimensional structure of a nonwoven web. The predicted evolution of the degree of crystallinity and its distribution in a three-dimensional spunbond web is discussed in detail. The results reveal that the distribution of the degree of crystallinity over the spunbond web is non-uniform. The effects of nozzle temperature, air-blowing speed, and belt speed on spunbond web characteristics, including the degree of crystallinity, are also investigated in detail.
Computational evidence for hierarchically structured reinforcement learning in humans
Authors: Eckstein Maria K. , Collins Anne G. E.
Published: November 2020

Humans have the fascinating ability to achieve goals in a complex and constantly changing world, still surpassing modern machine-learning algorithms in terms of flexibility and learning speed. It is generally accepted that a crucial factor for this ability is the use of abstract, hierarchical representations, which employ structure in the environment to guide learning and decision making. Nevertheless, how we create and use these hierarchical representations is poorly understood. This study presents evidence that human behavior can be characterized as hierarchical reinforcement learning (RL). We designed an experiment to test specific predictions of hierarchical RL using a series of subtasks in the realm of context-based learning and observed several behavioral markers of hierarchical RL, such as asymmetric switch costs between changes in higher-level versus lower-level features, faster learning in higher-valued compared to lower-valued contexts, and preference for higher-valued compared to lower-valued contexts. We replicated these results across three independent samples. We simulated three models—a classic RL, a hierarchical RL, and a hierarchical Bayesian model—and compared their behavior to human results. While the flat RL model captured some aspects of participants’ sensitivity to outcome values, and the hierarchical Bayesian model captured some markers of transfer, only hierarchical RL accounted for all patterns observed in human behavior. This work shows that hierarchical RL, a biologically inspired and computationally simple algorithm, can capture human behavior in complex, hierarchical environments and opens the avenue for future research in this field.
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.
Ethics in field experimentation: A call to establish new standards to protect the public from unwanted manipulation and real harms
Authors: McDermott Rose , Hatemi Peter K.
Published: November 2020

In 1966, Henry Beecher published his foundational paper “Ethics and Clinical Research,” bringing to light unethical experiments that were routinely being conducted by leading universities and government agencies. A common theme was the lack of voluntary consent. Research regulations surrounding laboratory experiments flourished after his work. More than half a century later, we seek to follow in his footsteps and identify a new domain of risk to the public: certain types of field experiments. The nature of experimental research has changed greatly since the Belmont Report. Due in part to technological advances including social media, experimenters now target and affect whole societies, releasing interventions into a living public, often without sufficient review or controls. A large number of social science field experiments do not reflect compliance with current ethical and legal requirements that govern research with human participants. Real-world interventions are being conducted without consent or notice to the public they affect. Follow-ups and debriefing are routinely not being undertaken with the populations that experimenters injure. Importantly, even when ethical research guidelines are followed, researchers are following principles developed for experiments in controlled settings, with little assessment or protection for the wider societies within which individuals are embedded. We strive to improve the ethics of future work by advocating the creation of new norms, illustrating classes of field experiments where scholars do not appear to have recognized the ways such research circumvents ethical standards by putting people, including those outside the manipulated group, into harm’s way.
Chromatin topology and the timing of enhancer function at the
HoxD
locus
Authors: Rodríguez-Carballo Eddie , Lopez-Delisle Lucille , Willemin Andréa , Beccari Leonardo , Gitto Sandra , Mascrez Bénédicte , Duboule Denis
Published: November 2020

Significance

Many genes important for vertebrate development are surrounded by multiple series of remote enhancer sequences. Such regulatory landscapes and their target genes are usually located within the same chromatin domains, which appears to constrain the action of these regulatory sequences and hence to facilitate enhancer–promoter recognition and gene expression. We used the
HoxD
locus to assess the impact of modifying the regulatory topology upon gene activation in space and time. A series of chromosomal rearrangements involving deletions and inversions reveals that the enhancer topology plays a role in the timing of gene activation. However, gene expression was often recovered subsequently, illustrating the intrinsic capacity of some enhancers to find their target promoters despite an apparently adverse chromatin topology.
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

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

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

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

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

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

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

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

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

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.
Optimization of Decision Tree with PSO on Sharia Cooperative Customer Funding
Authors: Rahmawati Eka , Agustina Candra
Published: November 2020

Credit is a service for Sharia Cooperatives to provide funding to customers who are paid in installments. The accuracy of the customer paying the payments is a determining factor for the smooth operation of the Sharia Cooperative. In addition to timeliness, the ability of customers to pay installments is also the most critical factor for credit returns. Bad credit is a significant threat for Sharia Cooperatives where customers cannot pay payments according to agreed agreements. That makes the prediction of the smooth operation of Sharia Cooperative customers needed. One way that can be done to make predictions is to apply data mining techniques. To make a prediction, several attributes of the customer are used, such as gender, age, status, residency status, number of dependents owned, education, employment, remittance, ceiling, type of loan, credit period, method of payment and collat- eral used. The research will use the J48 as one of the Decision Tree algorithms with particle swarm optimization techniques to improve algorithm performance. The accuracy of J48 with PSO is lower than without PSO.
Feature Dependent Naïve Bayes For Network Intrusion Detection System
Authors: Rahayuningsih Panny Agustia , Maulana Reza , Irmayani Windi , Saputra Dedi , Purwaningtias Deasy
Published: November 2020

The intrusion detection system is an important component that performs the analysis for. the problem arising from the IDS is a collection of data sets in a computer network. to increase the high level and low false positive level of approach with the learning machine in applied. The data mining algorithm used is Naïve bayes one of the most widely used algorithms in space due to its simplicity, efficiency and effectiveness. NB has high accuracy and speed when applied into the database with large data. However, the NB algorithm assumes independent attributes (free) and is very sensitive to the selection of many features that interfere with the performance or accuracy of the NB to be low but in practice, the possibilities of the feature are interrelated. The Feature Dependent Naïve Bayes (FDNB) method is an effective method used to solve existing problems in NB by computing features as pairs and creating dependencies between each other as well as by applying learning models implemented to cross-validation, Feature Selection and data steps preprocessing that gives better accuracy results. After testing with two models of Naïve bayes and FDNB, the results obtained from the Naïve Bayes algorithm resulted in an accuracy of 84.42%, while for FDNB and oversampling (CFS + GS) the accuracy was 94.58%, FDNB and oversampling (CFS + BFS) the accuracy value of 94.69%, FDNB and SMOTE (CFS + GS) and FDNB and SMOTE (CFS + BFS) has an accuracy value of 93.27%. For the average per attack type DOS attack shows the highest result for its accuracy value of 97.86% and U2R attack produces the best accuracy when classifying U2R with 93.80% accuracy, U-F size of 96.26% U2R can be considered as a very result nice. Because U2R attack is considered very dangerous.
Development of Fuzzy Analytic Hierarchy Process(F-AHP) For The Selection Of Alternative New Product Development Ideas In Coconut Downstream Agroindustry
Authors: Wardah S , Baidawi T
Published: November 2020

Downstream coconut agro-industry can increase added value, strengthen industrial structure, grow industrial population, provide employment, create business opportunities, and improve the national economy. The low level of downstream coconut agro-industry is due to the low development of new products that are key to long-term agro-industry. One important success step in developing new products is making the right decision in choosing a new product development idea. The choice of ideas is important to reduce risk in various uncertainties and market conditions. Based on this, this research aims to develop the Fuzzy Analytic Hierarchy Process (F-AHP) method for selecting the right idea to develop new products so that the downstream coconut agro-industry can develop. To achieve this goal, we use the F-AHP approach with an expert confidence level of 0.5. From this approach, the results are obtained that the critical criteria are product specificity, product superiority, product safety, product demand trends, the number of similar industries at the national level and the number of similar industries at the international level with alternative ideas for new product development are coconut meat, coconut shell coconut water towards the food industry and coconut fiber towards the transportation industry.
Public Acceptance Of Pedulilindungi Application In The Acceleration Of Corona Virus (Covid-19) Handling
Authors: Kurniawati  , Khadapi M , Riana D , Arfian A , Rahmawati E , Heriyanto
Published: November 2020

Coronavirus Disease (COVID 19) is a subject of ongoing scientific discussion in Indonesia and the world, COVID-19 confirmed cases continue to grow in Indonesia, this is influenced by the factor of the lack of more knowledge and awareness that some people have for the disease. Application PeduliLindungi was made by the Ministry of Communication and Information together with several state-owned agencies and Badan Usaha Milik Negara (BUMN) aimed at helping government agencies break the chain of transmission of COVID-19. Sample data from Technology Acceptance Model (TAM) is used to check the acceptance of the use of the application PeduliLindungi from 115 active respondents spread across Indonesia for analysis using SmartPLS. The analysis shows that the ease of use of the PeduliLindungi application greatly influences the usability and attitude in using it. The attitude in the use and usefulness of application PediliLindungi greatly influences the intention to use it. The use of the application PeduliLindungi has very little effect on the attitude to use it. In Conclusion the use of the applaication PeduliLindungi will increase because of the ease of use, it also indicates the level of acceptance of the application
Mobile-Assisted Language Learning (MALL): Students’ Perception and Problems towards Mobile Learning in English Language
Authors: Nuraeni Cicih , Carolina Irmawati , Supriyatna Adi , Widiati Wina , Bahri Syamsul
Published: November 2020

Mobile-Assisted Language Learning (MALL) is the latest learning way in the language education where applications or websites are used to facilitate students learning activities. Mobile phone has been studied years by researchers in its connection with education-related activities. This research will focus on its main purposes, they are: 1) students’ perceptions in using mobile phone in English language learning classroom activities; 2). the problem of using mobile phone to support classroom activities, especially in English language learning. The method of the research was quantitative method which used 70 students as research object. The data were collected through a 5-point Likert Scale questionnaire. The research found; first, the students’ majority had positive perception on the usage of MALL to support classroom activities, especially in learning English language. Second, the problem in internet connectivity is the biggest problems that students faced in terms of using MALL in English language classroom. But, It is hoped that MALL will be used as one of the teaching aids that could assist students in learning English as a Foreign Language (EFL) more effectively.
User Satisfaction Analysis of Pikobar Covid19 Website Using the Webqual Method
Authors: Ismunandar Dinar , Yanto  , Riana Dwiza , Fatmawati  , Hertyana Hylenarti , Triantori Vito
Published: November 2020

The PIKOBAR website is used as a place for public information in the form of data distribution of covid-19 sufferers that occurred in West Java. In this study, the quality of the PIKOBAR website is measured using the Webqual method as a measurement tool for website system development, where there are variables consisting of assessing the quality of usability, information quality, service interaction quality and interface quality. In determining the results of the four variables, SmartPLS is used to determine the effect of these variables on respondent satisfaction. Data obtained in this study were obtained from questionnaire processing as many as 120 respondents. The results obtained in this study include (1) quality of usability does not have a positive and significant effect on website user satisfaction, (2) the quality of information that is positive and significant for website user satisfaction, (3) the quality of service interactions has a positive and significant impact on website user satisfaction, and (4) quality of interface has a positive and significant effect on website user satisfaction. These results indicate that the quality of information, the quality of service interactions and the quality of the interface have a positive influence on PIKOBAR website users.
Teacher Attendance Monitoring System Teaching with QR-Code and Geo Location using Android Platform
Authors: Amirulloh I , Iskandar I d , Apriyani Y , Warnilah A I , Purnia D S , Surahman M
Published: November 2020

The world of education has a good level of reputation if it has a professional educator staff and with high integrity, one of the examples is that educators must be hardened on time and not truant to teach students at school. So that the stigma of students and the community does not give a negative value. The role of the principal is also very important to build high integrity, a principal must always monitor every day the teachers who enter the class. But the limitations and the many teaching hours of teachers that must be monitored make the principal difficult because of limited time and other busyness. So the need to design and build an Android platform-based application that is intended to monitor the schedule, and the presence of teachers in real-time called Teacher Attendance Monitoring System Teaching with QR-Code and Geo-Location. SoftwareThe software is intended to make it easier for principals to monitor teachers who teach in class in realtime. Black box testing results show 100% for functional testing of systems and for testing the application interface has a 100% success rate. Then the software is feasible to use.
Neural network parameters optimization with genetic algorithm to improve liver disease estimation
Authors: Harafani H , Suryani I , Ispandi  , Lutfiyana N
Published: November 2020

Liver disease is an important public health problem. Over the past view decades machine learning has develop rapidly, and it has been introduced for application in medical-related fields. In this study we use neural network method to solve regression task of liver disorder dataset. Genetic algorithm applied for optimize NN parameters to improve the estimation performance value. NN-GA performance results show the most superior value compared to another methods.