bluuebunny/crossref_metadata_2025_split huggingface dataset:
Frequency and Prognosis of Epidermal Growth Factor Receptor Variant III Mutations in Glioblastoma Multiforme among Indian Patients: A Single-Institution Study
Authors: Jose Wesley Mannirathil , Munirathnam Vinayak , Narendranath V. , Philip Arun , Keechilat Pavithran 
Published: April 2021

Abstract
Background Glioblastoma multiforme (GBM) is a disease with poor outcome. Alterations or mutations in epidermal growth factor receptors (EGFRs) are found in GBM and may be targeted to improve outcomes.
Aims We analyzed the frequency of EGFR variant III (vIII) mutations in patients with GBM and their outcomes after standard treatment.
Materials and Methods This is a retrospective study conducted in a single tertiary cancer center in south India. Forty patients with GBM who had their entire treatment done at this center were identified, and their primary tumor tissue blocks were retrieved. Genomic DNA was extracted, and molecular analysis was performed and analyzed. The results of mutational analysis were correlated with treatment outcome of the patients.
Statistical Analysis Survival outcome was analyzed using the Kaplan–Meier method. The log-rank test was used to assess the association between the groups and various parameters.
Results Our study showed a similar incidence of EGFR vIII alterations as published in world literature, but we did not find any difference in overall survival (OS) and progression-free survival (PFS) in patients with EGFR vIII mutation compared with nonmutant cohort.
Conclusions Contrary to the existing literature which indicated EGFR vIII alterations to be a negative prognostic indicator, our study did not find it to be an independent predictor of prognosis among Indian GBM patients treated with present standard of care.
Aberrant epithelial polarity cues drive the development of precancerous airway lesions
Authors: Tilston-Lunel Andrew , Mazzilli Sarah , Kingston Nathan M. , Szymaniak Aleksander D. , Hicks-Berthet Julia , Kern Joseph G. , Abo Kristine , Reid Mary E. , Perdomo Catalina , Wilson Andrew A. , Spira Avrum , Beane Jennifer , Varelas Xaralabos 
Published: April 2021

Significance
This study demonstrates that damage to lung epithelial architecture induces aberrant cellular signals that promote the development of precancerous airway lesions. These signals are mediated by the uncontrolled activation of the transcriptional effectors YAP and TAZ, which drive the expression of the growth factor NRG1 and the consequent activation of the ERBB receptors. Genetic deletion of YAP/TAZ or pharmacological inhibition of ERBB receptors prevents and treats precancer airway lesion development following epithelial damage, offering important knowledge that may guide therapeutic strategies for intercepting the development of squamous lung cancers.
Experimental test of a predicted dynamics–structure–thermodynamics connection in molecularly complex glass-forming liquids
Authors: Mei Baicheng , Zhou Yuxing , Schweizer Kenneth S. 
Published: April 2021

Significance
The physical origin of cooperative activated relaxation in glass-forming liquids, which underlies the huge growth of viscosity and suppression of diffusion with cooling, remains elusive. Understanding this problem is of fundamental scientific interest and can assist in the design of new materials. We combine experimental relaxation time and equation-of-state data of molecular liquids to provide strong evidence for the recent theoretical prediction that activated relaxation, though causally driven by dynamically coupled cage-scale hopping and nonlocal collective elasticity quantified by local structural correlations, is well captured based on a thermodynamic description with dimensionless compressibility as the key variable. A mechanistic deduction is the crossover from fragile to strong (e.g., inorganic networks) relaxation behavior arises from the irrelevance of long-range elasticity effects.
Multigenerational exposure to warming and fishing causes recruitment collapse, but size diversity and periodic cooling can aid recovery
Authors: Wootton Henry F. , Audzijonyte Asta , Morrongiello John 
Published: April 2021

Significance
The synergistic impacts of rapid climatic warming and fisheries harvest are threatening the sustainability of wild fisheries. Their collective impact on fish recruitment—a key process underpinning stock abundance—remains poorly understood. We experimentally exposed fish populations to realistic warming and fishing-selection regimes over multiple generations and found that warmed populations experienced a severe decline in recruitment rate. This warming-induced decline was exacerbated by size-selective fishery harvest. Once warming and size-selective fishing were relaxed, recruitment rates rapidly recovered. Our results suggest that synergistic impacts of fishing and warming can have delayed effects on stock resilience and that preserving fish body size diversity will help to increase their resilience to global warming.
Static and dynamic postural stability of children girls engaged in modern dance
Authors: Marinkovic Dragan , Belic Aleksandra , Marijanac Ana , Martin‐Wylie Ellis , Madic Dejan , Obradovic Borislav 
Published: April 2021

ABSTRACTBackground: Postural stability (PS) has an important role in many athletic activities. However, modern dance demands a heightened PS because of the required aesthetic quality and speed of movement. The aim of the present study was to compare the static and dynamic PS of young dancers and participants of other sporting activities.Method: A total of 101 girls (age: 7.91 ± 0.7 year) were divided into a Dance group (N = 53) and a physically active Control group (N = 48). Static PS was assessed with a two‐leg standing test on a Force plate, and dynamic PS was assessed with a Körperkoordinationstest für Kinder (KTK) – a walking backwards test on a balance beam.Results: Multivariate analysis of variance showed a general difference between the groups (F = 21.95; p ≤ 0.0001). In static PS, the Dance group was better in Total distance of center of pressure (COP) (p ≤ 0.0001; ES = −1.70), Anterior‐posterior oscillation (p ≤ 0.0001; ES = −1.40), Medial‐lateral oscillation (p ≤ 0.0001; ES = 1.75) and Length in function of surface (p ≤ 0.0001; ES = −0.98). Both parameters of dynamic stability, the KTK test (p ≤ 0.0001; ES = 1.28) and Motor quotients KTK test (p ≤ 0.0001; ES = 1.45), were significantly better in the Dance group.Conclusion: The results from the present study indicate that children girls who participate mostly in dance develop better static and dynamic PS than children girls who participate in other sport activities. These findings underline the importance of training modification toward the improvement of PS in dance.
EURAMET supplementary comparison between INRiM, UME and PTB in Brinell hardness scales (HBW1/30 - HBW2.5/187.5) - EURAMET.M.H-S2.a.
Authors: Germak A , Kuzu C , Menelao F , Origlia C , Pelİt E 
Published: April 2021

Main text
This report describes a EURAMET supplementary comparison in Brinell hardness scales of three national metrology institutes of Italy, Turkey and Germany; INRiM, UME and PTB, respectively. The pilot laboratory is INRiM in the comparison where two sets of hardness reference blocks for the Brinell Hardness scales of HBW1/30 and HBW2.5/187.5 were used. Each set of blocks consists of three hardness levels used for each of the two scales. The comparison was realized as planned in the Technical Protocol with some delay. The measurement results and uncertainty assessments declared by INRiM, UME and PTB are in consistency with each other.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database kcdb.bipm.org/.
The final report has been peer-reviewed and approved for publication by the CCM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Universal profiles for radio searches of Dark Matter in dwarf galaxies
Authors: Vollmann Martin 
Published: April 2021

Abstract
The phenomenology of diffuse radio emission from Dark Matter
annihilation or decay in dwarf spheroidal galaxies is examined. We
introduce (in the context of cosmic-ray physics) a novel strategy
for the computation of the relevant synchrotron signals. In
particular, we identify various regimes where, in analogy to prompt
gamma rays, the diffuse radio signal from dark matter
annihilation/decay can be expressed as the multiplication of a halo
times a spectral function. These functions are computed here for
the first time for a number of benchmark cases. Furthermore, we
find parameter regions in which the emissivity can be well
approximated by a universal function ∼ sin(π r/r
h)/r, where
r is the galacto-centric distance and r
h the diffusion-zone
radius of the galaxy. Our theoretical setup differs from previous
work in that, instead of employing a method-of-images strategy, we
consider a Fourier-mode expansion of the relevant Green's functions.
With this strategy, exact results can be obtained with very low
computational cost and for generic dark matter models. In
particular, 𝒪(10–100) Fourier modes can be easily
incorporated into the computations in order to probe the smallest
scales of the problem. We also propose a new strategy to search for
dark matter using radio observations of dwarf galaxies that is (1)
easy to implement and (2) free of the otherwise large degeneracies
in the description of synchrotron signals from dark matter.
Finally, we correct a mistake in a widely used Green's function
formula in this context. We show that the original expression leads
to systematically incorrect — and in some cases divergent —
results in the regime where the characteristic time-scale for
diffusion is smaller than that for energy losses.
Does Palatini Higgs inflation conserve unitarity?
Authors: McDonald J. 
Published: April 2021

Abstract
In the conventional metric formulation of gravity, the Higgs Inflation model violates unitarity in the electroweak vacuum in Higgs scattering at the energy scale Λ ∼ MPl
/ξ, where ξ ∼ 104 is the non-minimal coupling of the Higgs to the Ricci scalar. In the Palatini formulation it is commonly believed that Λ ∼ MPl
/√(ξ), where ξ ∼ 109. Here we reconsider unitarity violation in the electroweak vacuum in the Palatini formulation. We argue that there is no unitarity violation in Higgs scattering in the Palatini non-minimally coupled Standard Model in the electroweak vacuum at energies below the Planck scale. In this case Palatini Higgs Inflation completely conserves unitarity and is consistent at all energies up to those at which quantum gravity becomes important. If true, this would imply that Palatini Higgs Inflation has a significant advantage over metric Higgs Inflation.
A Review of Artificial Intelligence in Serious Game for Public Health
Authors: Rafiq Abdul , Asmawaty Abdul Kadir Tuty , Normaziah Ihsan Siti 
Published: April 2021

Abstract
Serious games used in public health for purposes including training, learning, prediction, coaching, diagnostic, rehabilitation and supporting. However, the serious game focuses mainly on user experience and graphical application, but less attention on applying artificial intelligence (AI). By enhancing artificial intelligence, it will have the capability to solve issues, especially in the field of public health. This article discussed a review of the use of artificial intelligence in a serious game for public health. The main idea of this paper is to gather all the related articles and create a trend analysis of the use of Artificial Intelligence (AI) in a serious game for public health. The related articles were applied to Artificial intelligence (AI) in the area of decision-making. The final section discussed the new trend and the future of Artificial intelligence using current AI techniques.
The importance of safety learning to increase student awareness when working in laboratories in vocational education institutions
Authors: Amelia Afritha , Rahman Abdul , Nursiah  , Sitorus Nobert , Viyata Sundawa Bakti , Roslina  
Published: April 2021

Abstract
Laboratory is the most important instrument in vocational education. That is a place where student working in vocational education institution. Therefore, big attention for safety aspect becomes the priority. Students practiced under the risk. Thus, they needs safety and healthy in working environment, especially in laboratory. The identification of potential hazards and risks must be done in Laboratory. This study have assessed 5 of potential hazards and risks in Politeknik Negeri Medan laboratory by Likert Scale. This object was divided into 2 assessment, namely likelihood of hazards and severity of consequences. The data are collected based on questionnaire results that involving 100 students with random academic level. The result shows that the highest state is chemical hazards, which accounted for 73.2% in likelihood of hazards, meanwhile electrical hazards contributed of 85% in severity of consequences. These condition are classified as “high” state. The specific attention must be given to “high” state. The action plan table giving an information literacy to help us for determining mitigate action.
Sentiment analysis of GO-JEK services quality using Multi-Label Classification
Authors: Amalia A , Gunawan D , Nasution K 
Published: April 2021

Abstract
One of the most popular online transportation providers in Indonesia is GO-JEK. At the first establishment, GO-JEK is only an online taxi motorbike service (in Bahasa Indonesia: ojek) that transforms from a conventional taxi motorbike. After several years GO-JEK began to develop more services, like GO-FOOD, GO-SEND, GO-CAR, GO-MART, GO-RIDE, GO-PAY, GO-TIX, GO-BOX, and GO-MED. As the GO-JEK services develop into more categories, it is more challenging to automatically analyze the sentiment polarity for each category of services category. An ordinary classification algorithm or single-label classification is concerned with learning from a set of examples associated with a single label classification. However, in this case, we want to classify GO-JEK services based on two-class targets, which are GO-JEK service categories and polarity sentiment classification. This research methodology contains Dataset Preparation, Feature Selection, Basic text mining process, train, and split dataset, and Classification. We implemented two classification methods: Multi-Label Classification and a simultaneous classification using the Random Forest Algorithm as a comparison. Based on this dataset, the most mentioned GO-JEK service is GO-FOOD followed by GO-SEND, GO-RIDE, GO-CAR, and GO-MART. Based on the service category, GO-FOOD gets the most positive reviews following by GO-RIDE and GOJEK 90. Some service categories like GO-SEND and GO-MART get more negative reviews than positive reviews. The accuracy of the Multi-label classification method raised 76%. Simultaneous classification accuracy using the Random Forest algorithm produce for service category classification yields 97% and only 78% for sentiment polarity classification. We can see that both algorithm, multi-label classification, and Random Forest algorithm, yields almost the same classification accuracy for polarity sentiment classification. We can conclude that the imperfect accuracy in polarity sentiment classification is related to the difficulty of identifying the most suitable polarity for each tweet. Many sarcasm tweets and slang words that cannot be identified.
A Web Deployed Multi-Agent Based Approach for Student-Lecturer Appointment Scheduling in Institutions of Higher Learning
Authors: Bokolo Anthony , Peremoboere Maureen Gbefa , Abdul Majid Mazlina 
Published: April 2021

Abstract
Institutions of higher learning such as universities have been positively influenced by the internet which has facilitated learning and teaching. Likewise, this same internet can also support student lecturer appointments, but currently students and lecturers are faced with issues such as finding free timeslot, difficulty of students to meet supervisor and issues related to managing appointment operations. Therefore, this paper develops a multi-agent architecture and a web-based agent appointment scheduling system to support students and lecturers in managing appointment scheduling in universities. The agent-based appointment scheduling system was implemented as a web system integrated by multi-agents to facilitate students in finding available timeslot, resolving difficulty of students to meet supervisor and addressing difficult of managing scheduled appointment records by lecturers. The usefulness of the agent-based appointment scheduling system was evaluated by collecting data using questionnaire from randomly selected respondents. Furthermore, Statistical Package for the Social Science (SPSS) was employed to analyse the questionnaire data using descriptive and exploratory factor analysis. Findings from the survey reveal that the developed agent-based appointment scheduling system practically supports students and lecturers in scheduling appointments.
Determination of Giving ‘Tips’ Using Fuzzy Logic To Determine Restaurant Customer Service Satisfaction
Authors: Priyanto Dadang , Zarlis Muhammad , Anggrawan Anthony 
Published: April 2021

Abstract
Fuzzy logic can be used to represent obscurity based on terms such as high, old, hot, cold, and so on. Fuzzy logic can extend the range of truth values to all real numbers in intervals between 0 and 1. Numbers in this interval represent the possibility that the statement given is “true” or “wrong”. The use of fuzzy logic can be used in everyday life, such as in the fields of medicine, engineering, agriculture, transportation, environmental science and also in economic and business applications. As in this study, it was used to calculate the ideal amount of ‘tips’ for restaurant waiters based on the service provided by restaurant waiters. The method used in this study is to use Mamdani fuzzy logic with the process of defuzzyfication using the Centroid of area (COA). The results of this study are that it can be determined the value crisp of giving tips to restaurant waiters is 45 thousand rupiah provided that the service provided for service = 7 (Excellent) and food service = 8 (Delicious)..
Design of Earthquake Early Warning System Based on Internet of Thing
Authors: Gunawan G , Nasution B B , Zarlis M , Sari Marliana , Lubis AR , Solikhun  
Published: April 2021

Abstract
Earthquake Early Warning is needed to reduce casualties and material losses. In this research, a system of earthquake disaster early detection system with vibration sensor and fuzzy algorithm is designed that is run on a microcontroller. In this study, the results of vibration measurements are obtained which are posed by earthquake vibrations and simulated in real time. This tool still needs to be developed and further calibrated to get perfect results.
Handling Problems of Credit Data for Imbalanced Classes using SMOTEXGBoost
Authors: Mardiansyah Heru , Widia Sembiring Rahmat , Efendi Syahril 
Published: April 2021

Abstract
Some researchers find data with imbalanced class conditions, where there are data with a number of minorities and a majority. SMOTE is a data approach for an imbalanced classes and XGBoost is one algorithm for an imbalanced data problems. This research uses SMOTE and XGBoost or abbreviated as SMOTEXGBoost for handling data with an imbalanced classes. The results showed almost the same accuracy value between SMOTE and SMOTEXGBoost at 99%. While the value of AUC SMOTEXBoost has a more stable value than SMOTE that is equal to 99.89% for training and 98.51% for testing.
Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
Authors: Zakaria H L , Zamli K Z , Din Fakhrud 
Published: April 2021

Abstract
Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-way test suite generation problems due to better exploration and exploitation capabilities of the hybridization. This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to a t-way test data generation strategy. The proposed strategy is called Elitist Hybrid MBO-GA Strategy (EMBO-GA). Based on the published benchmarking results, the result of these strategies are competitive with most existing strategies in terms of the generated test size in many of the parameter configurations. In the case where this strategy is not the most optimal, the resulting test size is sufficiently competitive.
Server Electricity And Temperature Monitoring By Using Access Point, Lm 35 Censor And Java Programming Language To Check Electricity Parameter
Authors: Sari Marliana , Sadikin Nanang , Gunawan  , Fauzan Muhammad 
Published: April 2021

Abstract
The server is a computer network that served as a servant. The server managing data traffic in a network and provide a resource that can be used by other computers connected in a network. Application monitoring system integrated with censor and using ping access points work as expected for censor continuously send server information. SMS gateway that can be attached to respond quickly in case of a problem on the server computer and the temperature exceed the limit or power supply status has changed so that an administrator can perform right action as fast as possible based on information provided. Server working continuously, with stable environment and without any interruption. It takes a special attention to maintain and monitoring so server will provide uninterrupted service. This application will play an important role to monitor servers that work continuously and assist Administrator and Operator Data Center. System Monitoring Application created based on the Java programming language.
Analysis of Application of the SAW, WP and TOPSIS Methods in Decision Support System Determining Scholarship Recipients at University
Authors: Marbun Murni , Zarlis Muhammad , Nasution Zulkifli 
Published: April 2021

Abstract
This research is an analysis of the application of the SAW, WP and TOPSIS methods to the support system for decision making at university. The types of scholarships provided are PPA education scholarships given by the Kementerian Riset, Teknologi dan Pendidikan Tinggi. The research variables are the attributes or criteria specified by the Directorate General of Learning and Student Affairs as contained in the 2018 Academic Achievement Improvement (PPA) guidebook. Decision Support Systems apply the classic FMADM method SAW, WP and TOPSIS. The results of this study are the application of the both methods of SAW and WP produce the same ranking and TOPSIS giving different rankings.
Ann : Predicting of State Retail Sukuk Based on Region in Indonesia
Authors: Solikhun  , Pujiastuti Lise , Wahyudi Mochamad 
Published: April 2021

Abstract
Retail Sukuk is a product of State Sharia Securities (Sukuk) issued by the Government of the Republic of Indonesia in this case the Ministry of Finance and sold to individuals or individuals of Indonesian Citizens through Selling Agents in the domestic Primary Market. This research contributes to the government and the Bank to be able to do the maximum promotion for the next sukuk issuance. The data used is data from the Ministry of Finance. These data are sukuk sales data with series 002-010 based on regional groups. The algorithm used in this study is Artificial Neural Network with Backpropogation method. Variabel masukan yang digunakan adalah kelompok wilayah bagian barat selain Jakarta (X1), kelompok Jakarta (X2), kelompok Indonesia Bagian Tengah(X3), dan kelompok Indonesia Bagian Timur (X4) dengan model arsitektur pelatihan dan pengujian sebanyak 4 arsitektur yakni 4-2-1, 4-3-1, 4-2-3-1 dan 4-3-2-1. The best architectural model is 4-3-1 with epoch 266, MSE 0.009918 and 100% accuracy rate. From this model, predictions of retail country sukuk will be made by region.