bluuebunny/crossref_metadata_2025_split huggingface dataset:
Endoscope-controlled Access to Thalamic Tumors using Tubular Brain Retractor: An Alternative Approach to Microscopic Excision
Authors: Sihag Rakesh , Bajaj Jitin , Yadav Yad Ram , Ratre Shailendra , Hedaoo Ketan , Kumar Ambuj , Sinha Mallika , Parihar Vijay , Swamy M. Narayan 
Published: June 2021

Abstract
Background Surgery for thalamic lesions has been considered challenging due to their deep-seated location. Endoscopic excision of deep-seated brain tumors using tubular retractor has been shown to be safe and effective in prior studies; however, there are limited reports regarding its use for thalamic tumors. We present our experience of endoscope-controlled resection of thalamic tumors using a tubular retractor.
Material and Methods This was a prospective observational case series done at a tertiary center specialized for endoscopic neurosurgery during the period from 2010 to 2019. Surgeries were performed under the endoscopic control using a silicon tubular retractor. Lesions were approached transcortically or trans-sulcally. Data were collected for the extent of resection, amount of blood loss, operative time, need for conversion to microscopy, and complications.
Results Twenty-one patients of thalamic masses of 14- to 60-year age underwent the surgeries. Pathologies ranged from grade I to IV gliomas. Gross total and near-total resection could be done in 42.85% of cases for each group. The average blood loss and operative time were164.04 ± 83.63 mL and 157.14 ± 28.70 minutes, respectively. Complications included a small brain contusion, two transient hemipareses, and one transient speech deficit.
Conclusion Endoscopic excision of thalamic tumors using a tubular retractor was found to be a safe and effective alternative to microscopic resection.
A New Treatment for the Reconstruction of the Medial Compartment of the Ankle: The Combined Use of Biological Materials
Authors: Lughi Marcello , Campagna Alessandro , Purpura Valeria , Bondioli Elena 
Published: June 2021

AbstractFractures, especially if articular and periarticular, are frequently associated to functional and clinical disabling outcomes and chronic pain. In particular, the injuries with loss of bone, ligament, and/or tendon tissue in which the full recovery of the wound area is not obtained are the worst anatomical/pathological conditions to heal. In this study, three different biological materials were used as regenerative approaches to rebuild the medial malleolus fracture of the ankle in which loss of bone, ligament, and tendon tissue occur. In particular, the morselized human bone tissue was combined with the human dermis decellularized, both augmented with homologous platelet-rich plasma. The magnetic resonance imaging study with contrast at the follow-up showed a signal compatible with vascularization of the tissue without sign of degeneration. Our new regenerative approach in which different biological materials were combined together showed a good choice of treatment for the reconstruction of not repairable outcome of a fracture.
Thickness measurement of nm HfO2 films
Authors: Kim K J , Kim A , Kim C S , Song S W , Ruh H , Unger W E S , Radnik J , Mata-Salazar J , Juarez-Garcia J M , Cortazar-Martinez O , Herrera-Gomez A , Hansen P E , Madesen J S , Senna C A , Archanjo B S , Damasceno J C , Achete C A , Wang H , Wang M , Windover D , Steel E , Kurokawa A , Fujimoto T , Azuma Y , Terauchi S , Zhang L , Jordaan W A , Spencer S J , Shard A G , Koenders L , Krumrey M , Busch I , Jeynes C 
Published: June 2021

Main text
A pilot study for the thickness measurement of HfO2 films was performed by the Surface Analysis Working Group (SAWG) of the Consultative Committee for Amount of Substance (CCQM). The aim of this pilot study was to ensure the equivalency in the measurement capability of national metrology institutes for the thickness measurement of HfO2 films. In this pilot study, the thicknesses of six HfO2 films with nominal thickness from 1 nm to 4 nm were measured by X-ray Photoelectron Spectroscopy (XPS), X-ray Reflectometry(XRR), X-ray Fluorescence Analysis (XRF), Transmission Electron Spectroscopy (TEM), Spectroscopic Ellipsometry (SE) and Rutherford Backscattering Spectrometry (RBS). The reference thicknesses were determined by mutual calibration of a zero-offset method (Medium Energy Ion Scattering Spectroscopy (MEIS) of KRISS) and a method traceable to the length unit (the average thicknesses of three XRR data except the thinnest film). These reference thicknesses are traceable to the length unit because they are based on the traceability of XRR. For the thickness measurement by XPS, the effective attenuation length of Hf 4f electrons was determined. In the cases of XRR and TEM, the offset values were determined from a linear fitting between the reference thicknesses and the individual data by XRR and TEM. The amount of substance of HfO2, expressed as thickness of HfO2 films (in both linear and areal density units), was found to be a good subject for a CCQM key comparison.
To reach the main text of this paper, click on Final Report.
The final report has been peer-reviewed and approved for publication by the CCQM.
Influence of carbon on energetics, electronic structure, and mechanical properties of TiAl alloys
Authors: Legut Dominik , Spitaler Jürgen , Pavone Pasquale , Draxl Claudia 
Published: June 2021

Abstract
We present first-principles calculations of carbon-doped TiAl alloys. The effect of carbon on the structural, electronic, and elastic behavior of the γ phase (L10 structure) of TiAl is investigated. The calculated enthalpy of formation at zero temperature indicates that carbon atoms favor to occupy rather interstitial than substitutional positions. The computed solubility of carbon in the stoichiometric γ phase is very low, in agreement with experimental findings. However, it is significantly enhanced for the Ti-rich alloy and when located inside Ti6 octahedra. Mechanical properties such as Cauchy pressure, elastic anisotropy, Young’s modulus, as well as Pugh and Poisson ratios of stoichiometric and off-stoichiometric compositions are analyzed as a function of carbon concentration and its location. As a general trend, we obtain that below a concentration of 3 at.%, carbon plays a minor role in changing the ductile behavior of γ-TiAl. A slight increase in ductility is found in the Ti-rich γα phase if either located in the Ti-plane (Ti4Al2 octahedral site) or in a Ti6 octahedra.
The implementation of k-means algorithm to determine the quality of teak wood in image based on the texture
Authors: Darmawan Erlan , Novantara Panji , Suwarto Gentur Priguna , Andriyat Rio , Nurhayati Yati 
Published: June 2021

Abstract
Teak is a type of tree that produces high quality wood. Large tree, straight trunk, can grow to a height of 30-40 m. In the developing teak parquet industry, the process of selecting raw materials is very important. This is due to the many types, types and classes of wood texture. The choice of wood texture is still widely used by human workers, most of which require a long time and the results obtained are still inaccurate. This study aims to solve the problem of quality teak grouping based on image texture by creating a computerized system or application using the K-means algorithm. With this method, it is hoped that the classification of the quality of teak can be described more easily based on the texture of the image. Based on the results of system design and testing, the application can group the quality of teak wood based on the texture and color of the image
Technology readiness and acceptance model as a factor for the use intention of LMS e-Learning in Kuningan University
Authors: Yusuf Fahmi , Mirantika Nita , Syamfithriani Tri Septiar , Darmawan Erlan , Irawan Dede 
Published: June 2021

Abstract
Covid 19 pandemic influences business, office activities, and education. It makes all activities are in not in normal activities as we used to do. Now we count on Information Technology to live in this pandemic era. Now to deal with it, we do Teaching and Learning activities in online mode. Not all students are used to learning in online mode. We deal with many kinds of problems in doing Teaching and Learning in Online mode. This research is to find out factors that influences the user’s intention to use Online Learning or E-Learning based on Learning Management System (LMS). Factors used in this research are taken from Technology Readiness from Parasuraman combined with Technology Acceptance Method Model (TAM). Based on the evaluation result, we can conclude that Optimism variable, usefulness perception and ease of use perception in the technology. LMS has very important role in building the positive perception in LMS technology. this motivated the users to use the LMS technology. This research is done with Kuningan University students as our respondents during this pandemic time. This research contributed to previous theory about technology readiness and acceptance method in teaching and learning activity.
Implementation Dijkstra’s Algorithm for Non-Players Characters in the Game Dark Lumber
Authors: Krisdiawan Rio Andriyat , Permana Aji , Darmawan Erlan , Nugraha Fitra , Kriswandiyanto Anto 
Published: June 2021

Abstract
Forest is a unitary ecosystem in the form of a stretch of land containing biological natural resources dominated by trees in their natural environment, which cannot be separated from one another. The importance of forest preservation is based on law, namely ensuring the existence of forests in a sustainable manner while maintaining sustainability and not destroying the environment and the surrounding ecosystem. However, public awareness in preserving the forest is still lacking. Therefore, technology is needed that can provide information about forests and the impact of illegal logging in an attractive manner. Games are multimedia entertainment that is made as attractive as possible. Action games require players to concentrate and think quickly in order to avoid obstacles. Dijkstra’s algorithm looks for the shortest path in a number of steps from which each step selects the minimum weighted value and enters it into the set of solutions. Dijkstra’s algorithm implemented on non-player characters in a game to determine the shortest path to the target player. Games built using unity and developed using the Game Development Life Cycle (GDLC) method. GDLC is a game development process that applies an iterative approach consisting of 6 development phases, starting from the initialization or concept creation, preproduction, production, testing, beta and release phases.
Implementation of the fisher yates shuffle algorithm in the randomization of department recommendation examinations at PMB FKOM UNIKU
Authors: Nurhayati Yati , Maesyaroh Siti , Supartman Sherly Gina , Darmawan Erlan , Herlina Elin 
Published: June 2021

Abstract
The new student admission test is a routine activity carried out by the Faculty of Computer Science, University of Kuningan every year. This activity is the start of the process of searching for qualified new student candidates. In the current system, there are interview sessions that aim to see the interests and talents of prospective students so that the majors chosen by these prospective students are right according to their interests and talents, but because they are still carried out face-to-face it results in less efficiency in terms of time. So we need an application that can provide recommendations for the right majors for prospective students of the Faculty of Computer Science, University of Kuningan efficiently. To avoid cheating in the new student admissions test, the application must be able to randomize the questions optimally by using the Fisher Yates Shuffle Algorithm. In this exam application, there are 300 multiple choice question banks that represent the competences of each department, namely questions with competency categories consisting of basic computer questions, logic, mathematics, programming languages, patterns, graphic design, business processes. The system will randomize using the fisher yates shuffle algorithm and display the randomized questions per category to the test takers. To see the level of effectiveness of the Fisher Yates Shuffle algorithm, 50 questions were randomized per category, displayed as many as 20 questions per examinee with a total of 30 iterations (for 30 exam participants). As a result, the position of the randomized questions is optimal and the time required for randomization is very efficient +0.01 seconds with the appearance rate of the most numbered questions being 3.17% so that the Fisher Yates Shuffle algorithm is one of the optimal algorithms for randomization.
M-Commerce application acceptance analysis using Technology Readiness Index (TRI) model in Kuningan Regency
Authors: Syamfithriani Tri Septiar , Mirantika Nita , Daswa  , Yusuf Fahmi , Kurniadi Erik 
Published: June 2021

Abstract
Online trading activities through mobile devices (m-commerce) are currently becoming a business trend. Online trading has contributed to making the process of buying and selling goods and services easier and more enjoyable because they are timeless and borderless though these still have negative impacts. Therefore, this study examines retail consumer’s perspectives related to their readiness of using the application mobile commerce (m-commerce) in Kuningan regency. Furthermore, this study aims to examine the impact of optimism, innovation, insecurity, and discomfort on consumers’ shopping intentions from mobile devices through the perceived risks and benefits. To analyze the data, this study applied Parasuraman TRI (Technology Readiness Index) Model with the dimensions of optimism and innovation as variable drivers, the dimensions of insecurity and discomfort as inhibitor variables. Meanwhile, the data was gained through survey methods, questionnaire distribution from 397 m-commerce users in Kuningan as respondents. In addition, SPSS was used to test the validity and reliability of the questionnaire. The result showed that the total TRI value of 3.58 (in the high technology readiness index category), the people of Kuningan Regency tend to have a high level of readiness to adopt m-commerce technology, and the user group segment is in the pioneers group (this segment tends to have high interest through the existence of a new technology, have high optimism and innovation, but at the same time they will easily stop trying if they encounter high inconvenience and insecurity.
Decision Support System using Multi-Factor Evaluation Process Algorithm
Authors: Que Bertha Jean , Andarmoyo Sulistyo , Hendrayani Eka , Romindo  , Abdullah Dahlan , Saediman H , Sari Nila Puspita , Ismainar Hetty , Rahmayani Dini , Tharo Zuraidah 
Published: June 2021

Abstract
A nurse, often shortened to nurse or med, is a person whose function is to visit patients to carry out treatment or medication. Nurses must care for and handle any patients who are undergoing treatment or patients who are sick. There are many nurses in the hospital. Each patient gets a class according to the hospital they are settled. These classes differ in terms of the facilities offered and the services they provide. For the VIP class, both excellent facilities and excellent services are needed. The nurses who care for the patients will be incredibly nervous and stressed out. Nurses working in this setting require acute levels of skill. Part of a decision support system that uses the MFEP method can determine very good or skilled nurses based on their job history. According to their training or skills, the different departments’ nurses can be divided into their group.
Naives Bayes Algorithm for Twitter Sentiment Analysis
Authors: Samsir  , Irmayani Deci , Edi Firman , Harahap Junaidi Mustapa , Jupriaman  , Rangkuti Rizki Kurniawan , Ulya Basyarul , Watrianthos Ronal 
Published: June 2021

Abstract
On 2 March 2020, the Indonesian government, through President Joko ‘Jokowi’ Widodo, announced the first two cases of COVID-19 in Indonesia. This is the first case of COVID-19 officially confirmed in that country. Several cases have continued to increase since then. President Jokowi began issuing policies on the spread of this virus. This is different from other countries, such as Malaysia and Singapore, which responded from the previous month when the Indonesian government still stated that coronavirus does not exist in Indonesia. Our case study is to find a public opinion through social network analysis of Indonesian public policy during the beginning of the Indonesian COVID-19 pandemic in March 2020. This research implements text mining and document-based sentiments on Twitter data that is reprocessed through machine learning techniques using the Naïve Bayes method. We found negative opinions in the period more dominant by 46%, while that was 35% positive sentiment and 20% neutral. This research shows that anticipation, sadness, and anger are very dominant in the emotional analysis.
Factors Affecting the Effectiveness of the Implementation of Application OHSMS: A Systematic Literature Review
Authors: Rahmi Auliah , Ramdhan Doni Hikmat 
Published: June 2021

Abstract
Occupational health and safety management system is a system used to manage Occupational Health and Safety. The implementation of OHSMS aims to create a work environment that is free from harm or illness due to work. However, along with the development of OHS, it is not accompanied by an increase in OHS performance. It can be seen form several studies that there is no difference in OHS performance between certified and non-certified companies. Many factors affect the effectiveness of OHSMS implementation. The purpose of this study is to investigate factors influence the effectiveness of the implementation of OHSMS through a systematical literature review. This study reviewed articles published between 2010 – 2020 from 4 search portals, namely: Scopus, Proquest, Science Direct, and Sage. From the result of literature search, there were 40 articles that met the criteria. The results of this study indicate that there are internal and external factors that affect the effectiveness of OHSMS implementation. Internal factors that influence the effectiveness of OHSMS implementation are management commitment, OHS leadership and policies, employee participation, OHS culture, employee morale, sufficient resources, financial performance, OHS cost allocation, company size, internal incentives, worker safety behavior, communication and consultation OHS, OHS rules and procedures, OHS promotion, integration, continuous improvement, the process of identifying hazards and risk reduction, developing and implementing OHS risk control strategies. Meanwhile, external factors include enforcement of OHS regulations, OHS support and authority, external audit certification, external incentives, pressure from customers, market competition, company image, and international trends.
The Role of Mobile Applications in Learning Arabic-Indonesian Translation
Authors: Yusuf Kamal 
Published: June 2021

Abstract
The current study seeks to find to what extent mobile applications were explored in learning translation of Arabic-Indonesian by students of Arabic department at UIN Sunan Ampel Surabaya, Indonesia. This research aimed to survey students’ perceptions and attitudes towards the use of mobile applications during their course in Translation. To investigate students’ perceptions and attitudes, a set of questionnaires was employed to capture their opinion. 45 students were voluntarily participated in answering the questionnaire. The participants of the study were students of Arabic department in their 3rd year at the university. The study revealed that students demonstrated positive attitudes towardss the use of mobile applications in learning Translation. It was also found that mobile applications applied in Translation were beneficial and effective. The key benefits students’ experienced were the improvement of learners’ motivation to study, the increasing of learners’ learning autonomy and confidence, and the encouragement of learners’ opportunities to practices and self-learning.
Performance One-step secant Training Method for Forecasting Cases
Authors: Ginantra N L W S R , Bhawika Gita Widi , Achmad Daengs GS , Panjaitan Pawer Darasa , Arifin Mohammad Aryo , Wanto Anjar , Amin Muhammad , Okprana Harly , Syafii Abdullah , Anwar Umar 
Published: June 2021

AbstractThe training function used in the ANN method, especially backpropagation, can produce different forecasting accuracy, depending on the method parameters given and the data to be predicted. This paper aims to analyze the ability and performance of one of the training functions in the backpropagation algorithm, namely One-step secant, which can later be used or used as a reference in the case of data forecasting. This method is able to update the values of bias and weights according to the one-step secant method. The analysis process uses a dataset of Foreign Exchange Reserves (US $ Million) in Indonesia 2011-2020. Based on this dataset, the dataset will be divided into two parts. The training data uses the 2011-2014 and 2015 dataset as the training data target. Meanwhile, the test data used 2016-2019 and 2020 as the target test data. The analysis process uses 5 experimental architectures, namely 4-5-1, 4-7-1, 4-9-1, 4-11-1 and 4-13-1. The results of the research based on the analysis obtained the best network architecture 4-11-1 with an MSE Training value of 0.00000012, MSE testing/performance of 0.00115144 (the smallest compared to other architectures) and Epoch 343 Iterations.
Application of K-Medoids Cluster Result with Particle Swarm Optimization (PSO) in Toddler Measles Immunization Cases
Authors: Cynthia Eka Pandu , Rahadjeng Indra Riyana , Karyadiputra Erfan , Rahman Fauzi Yusa , Windarto Agus Perdana , Limbong Martalina , Hermanto Teguh Iman , Rusiadi E. , Yarmani Y 
Published: June 2021

Abstract
The objective of the research was to analyze the clustering method by optimizing Particle Swarm Optimization (PSO) in the case of measles immunization for children under the age of 5. The research data source used is the North Sumatra Province Central Bureau of Statistics (https://sumut.bps.go.id/). The data used in 2019 included 33 records with variables BCG, DPT-HB3/DPT-HB/Hib3, CAMPAK (MEASLES + RUBELLA), POLIO 4 and HEPATITIS B. The methods used were k-medoids and PSOs. This method is used to determine the value of the Davies Bouldin Index (DBI) before the cluster value is determined (k). The resulting k values were compared to k-medoids without PSO. The best results of k-medoid and PSO will be tested by classification to see the accuracy value of the cluster formed. The results showed that the optimization of k-medoids and PSO was better with the number of clusters (k = 5) than 0.078. (DBI). The results also show that the accuracy of the cluster formed is 95% with a correlation of 0.98.
Utilization of Rough Sets Method with Optimization Genetic Algorithms in Heart Failure Cases
Authors: Andini Silfia , Sitanggang Rianto , Wanto Anjar , Okprana Harly , Achmad Daengs GS , Aryza Solly 
Published: June 2021

Abstract
Rough Set is a machine learning method capable of analyzing dataset uncertainty to determine essential object attributes. At the same time, genetic algorithms can solve estimates for optimization and search problems. Therefore, this study aims to extract information from the rough set method with genetic algorithm parameters using the Rosetta application in heart failure cases. The research dataset was a collection of Clinical Heart Failure Record Data obtained from the UCI machine learning repository. There are 13 attributes contained in the dataset. Still, two features are removed, namely sex and time. It becomes 11 to reduce the amount of time and memory needed and make data easier to visualize, and help reduce irrelevant features. This research produces eight reducts and 77 rules based on the 20 sample data used. This study concludes that the use of genetic algorithm parameters can optimize the standard rough set method in generating rules.