bluuebunny/crossref_metadata_2025 huggingface dataset:
Morphology at the Distal Radioulnar Joint: Identifying the Prevalence of Reverse Obliquity
Authors: O'Shaughnessy Maureen , Shapiro Lauren M. , Schultz Blake , Retzky Julia , Finlay Andrea K. , Yao Jeffrey
Published: July 2020

Background Recent advances in the understanding of ulnar-sided wrist pathologies such as ulnar abutment syndrome (UAS) have brought increased attention to the anatomy of the distal radioulnar joint (DRUJ). Previous work established three anatomical variants of the sigmoid notch (parallel, oblique, and reverse oblique). The reverse oblique DRUJ poses theoretical risk of increased contact forces following ulnar shortening osteotomy, a common method of treating UAS.

Purpose As prevalence of reverse oblique morphology has been under-reported, this study aims to better define the prevalence of reverse oblique morphology in the adult population.

Methods Institutional Review Board-approved review of 1,000 radiographs over a 2-year period was performed. Demographic data and radiographic measurements were recorded (ulnar variance, notch inclination, and presence of arthritis). Correlation tests, a test of proportions, a t-test, and linear and logic regression tests were used to examine associations between ulnar variance, sigmoid inclination, sex, age, and presence of arthritis.

Results One thousand radiographs were analyzed revealing prevalence rates of: parallel—68%, oblique—26%, and reverse oblique—6%. Females were significantly more likely to have reverse inclination. No significant correlation was noted for morphology by age. Ulna positive variance was negatively correlated with reverse inclination. DRUJ arthritis was noted in 14% of patients. Higher sigmoid inclination was associated with higher odds of presence of arthritis, adjusting for sex and age. Higher incidence of arthritis was noted among patients with the oblique (20.8%) or reverse oblique (24.6%) compared with parallel (10.5%) morphology.

Conclusion This series of 1,000 radiographs demonstrates a 6% overall prevalence of reverse obliquity. This large dataset allows for better quantification of the prevalence of DRUJ morphologies and determination of correlations that have clinical implications for patients with ulnar-sided wrist pathology.

Level of Evidence This is a Level IV study.
Baseline Analysis of Patients Presenting for Surgical Review of Anterior Cruciate Ligament Rupture Reveals Heterogeneity in Patient-Reported Outcome Measures
Authors: Ting Chee Han , Scholes Corey , Zbrojkiewicz David , Bell Christopher
Published: July 2020

Despite the establishment of successful surgical techniques and rehabilitation protocols for anterior cruciate ligament (ACL) reconstruction, published return to sport rates are less than satisfactory. This has led orthopaedic surgeons and researchers to develop more robust patient selection methods, and investigate prognostic patient characteristics. No previous studies have integrated baseline characteristics and responses to patient-reported outcome measures (PROMs) of patients with ACL rupture presenting for surgical review. Patients electing to undergo ACL reconstruction under the care of a single orthopaedic surgeon at a metropolitan public hospital were enrolled in a clinical quality registry. Patients completed Veterans RAND 12-item Health Survey (VR-12) Physical Component Summary and Mental Component Summary scores, Tegner activity scale, and International Knee Documentation Committee (IKDC) questionnaires at presentation. Total scores were extracted from the electronic registry, and a machine learning approach (k-means) was used to identify subgroups based on similarity of questionnaire responses. The average scores in each cluster were compared using analysis of variance (ANOVA; Kruskal–Wallis) and nominal logistic regression was performed to determine relationships between cluster membership and patient age, gender, body mass index (BMI), and injury-to-examination delay. A sample of 107 patients with primary ACL rupture were extracted, with 97 (91%) available for analysis with complete datasets. Four clusters were identified with distinct patterns of PROMs responses. These ranged from lowest (Cluster 1) to highest scores for VR-12 and IKDC (Cluster 4). In particular, Cluster 4 returned median scores within 6 points of the patient acceptable symptom state for the IKDC score for ACL reconstruction (70.1, interquartile range: 59–78). Significant (p < 0.05) differences in PROMs between clusters were observed using ANOVA, with variance explained ranging from 40 to 69%. However, cluster membership was not significantly associated with patient age, gender, BMI, or injury-to-examination delay. Patients electing to undergo ACL reconstruction do not conform to a homogenous group but represent a spectrum of knee function, general physical and mental health, and preinjury activity levels, which may not lend itself to uniform treatment and rehabilitation protocols. The factors driving these distinct responses to PROMs remain unknown but are unrelated to common demographic variables.
Outcome of Very Low and Low Birth Weight Infants with Esophageal Atresia: Results of the Turkish Esophageal Atresia Registry
Authors: Oztan Mustafa O. , Soyer Tutku , Oztorun Can I. , Firinci Binali , Durakbaşa Çiğdem U. , Dokumcu Zafer , Gollu Gulnur , Akkoyun Ibrahim , Demirel Dilek , Karaman Ayşe , Ciftci Ilhan , Ilhan Huseyin , Parlak Ayse , Ozden Onder , Cömert Hatice S. Y. , Oral Akgun , Tekant Gonca , Kiyan Gursu , Erginel Başak , Guvenc Unal , Erdem Ali Onur , Erturk Nazile , Yildiz Abdullah
Published: July 2020

Introduction The data of the Turkish Esophageal Atresia Registry (TEAR) was evaluated to define the outcome of very low birth weight (VLBW) and low BW (LWB) infants with esophageal atresia (EA).

Materials and Methods The data registered by 24 centers between 2014 and 2018 were evaluated for demographic features, prenatal findings, associated anomalies, surgical treatment, and outcome. Patients were enrolled in three groups according to their BWs (VLBW <1,500 g), LWB = 1,500–2,500 g), and normal BW (NBW; >2,500 g).

Results Among the 389 cases, there were 37 patients (9.5%) in the VLBW group, 165 patients (42.4%) in the LBW group, and 187 patients (48.1%) in the NBW group. Prenatal diagnosis rates were similar among the three groups (29.7, 34.5, and 24.6%, respectively). The standard primary anastomosis was achieved at a significantly higher rate in NWB cases than in the other groups (p < 0.05). In patients with tracheoesophageal fistula (TEF), patients of the NBW group had significantly higher rates of full oral feedings, when compared with VLBW and LBW cases (p < 0.05). At the end of the first year, when we evaluate all patients, the number of cases with fistula recanalization and esophageal anastomotic strictures (AS) requiring esophageal dilatation was similar among the groups. The weight and height measurements at 6 months and 1 year of age of the survivors were similar in all the groups. The overall mortality rate was significantly higher in the VLBW and LBW groups, when compared with the NBW patients, even in patients with tension-free anastomosis (p < 0.05). The incidence of the associated anomalies was 90.6% in cases with mortality, which was significantly higher than in survivors (59.6%; p < 0.05). According to Spitz's classification, the survival rate was 87.1% in class I, 55.3% in class II, and 16.7% in class III. The most common causes of mortality were associated with cardiovascular diseases, pneumonia, and sepsis.

Conclusion The national data of TEAR demonstrates that the developmental and feeding parameters are better in NBW patients. Although VLBW patients have higher risk of developing fistula canalization than the LBW and NBW groups, long-term complications, such as anastomotic strictures, weight, and height values, after 1 year are similar in both groups. According to our results, associated anomalies and LBWs are still significant risk factors for mortality in cases with EA.
Salvage of the Failed Total Wrist Arthroplasty: A Systematic Review
Authors: Berber Onur , Gidwani Sam , Garagnani Lorenzo , Spiteri Michelle , Riley Nicholas , McNab Ian , Little Christopher
Published: July 2020

Background Although the performance of total wrist arthroplasty systems has improved, failure is encountered and is a major challenge to manage.

Questions Does physical function improve with surgical management of the failed wrist arthroplasty? Is there an improvement in secondary outcome measures including pain, grip strength, and range of motion? What are the reasons for failure in primary total wrist arthroplasty? What are the complications associated with revision of the failed total wrist arthroplasty? What are the survival profiles of the different revision strategies?

Methods A systematic review of available literature was performed. Studies were systematically assessed, and data extracted from suitable studies for review. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines were adhered to. The study protocol was modified from a previous protocol published on the PROSPERO database.

Results Fourteen studies were identified considering 218 patients/214 index operations with a follow-up duration following revision surgery of 2 months to 21 years (silicone wrist arthroplasty—42 cases; nonsilicone wrist arthroplasty—172 cases). The functional outcome of revision surgery was infrequently recorded and documented with only short-term assessments undertaken. Complications were seen in 1:2 revision procedures, with re-revision surgeries required in 21.6% of revised primary nonsilicone arthroplasties. Re-revision rate following a revision arthrodesis was 21.4% (15/70 cases) compared with revision arthroplasty of 34.8% (32/92 cases). Revision arthrodesis nonunion rate was 17.5% (22 cases).

Conclusion This review has confirmed the high level of surgical complexity and the likelihood of a complicated postoperative outcome when salvaging a failed wrist replacement.

Level of Evidence This is a Level 3, systematic review study.
Impact of Age of Patient and Experience of Surgeon on the Outcome after Kasai Portoenterostomy: Can We Delay the Surgery?
Authors: Chan Kin Wai Edwin , Lee Kim Hung , Wong Hei Yi Vicky , Tsui Siu Yan Bess , Mou Jennifer Wai Cheung , Tam Yuk Him
Published: July 2020

Introduction Age of patient and experience of biliary atresia (BA) center are well-known factors associated with early jaundice clearance (EJC) after Kasai portoenterostomy (KPE) in infants with BA. This study focused on the impact of age and surgeon factor on the short-term outcome after KPE within a single center.

Materials and Methods Fifty-four consecutive infants (18 boys and 36 girls) who underwent KPE from January 2010 to January 2020 were reviewed. KPE was performed in the earliest available operative session once the initial work-up was completed. In group A (n = 41), KPE was performed by surgeon A. In group B (n = 13), KPE was performed by specialists under the supervision of surgeon B (who is the mentor of surgeon A) when surgeon A was not available for operation. The demographics of patients, the EJC (total bilirubin <20 μmol/L within 6 months of KPE), and 2-year native liver survival (NLS) between the two groups were studied.

Results The median age at operation was 52 days (range 26–135 days). The overall EJC rate and 2-year NLS were 85.2 and 89.4%, respectively. Group A (p = 0.015) and male gender (p = 0.029) were statistically associated with EJC but not the age at operation (p = 0.101). Group A was also statistically associated with superior 2-year NLS (p = 0.047).

Conclusion Balancing between the impact of age at operation and the experience of surgeon on the outcome after KPE, our result suggested that KPE may be deferred until a more experienced surgeon to operate.
EUS-Guided FNA: Tips and Tricks
Authors: Bansal Rinkesh Kumar , Puri Rajesh
Published: July 2020

The development of endoscopic ultrasound (EUS)-guided fine needle aspiration (FNA) technique has been proved to be a great armamentarium to gastroenterologists and other branches including surgery, oncology, hepatology, pulmonary medicine, and internal medicine. EUS-FNA is quite safe and allows tissue acquisition from difficult anatomical locations like retroperitoneum, pancreas, and mediastinum. The current review discusses basic techniques steps of EUS-FNA including tips and tricks. Also, false negative FNA and EUS-FNA in difficult locations are discussed. We also discussed about EUS-guided fine needle biopsy.
Intelligent vehicle lateral tracking control based on multiple model prediction
Authors: Tang Fengmin , Li Chunshu
Published: July 2020

A new multi-model predictive control (MMPC) algorithm was proposed and applied in an intelligent vehicle lateral tracking control system in this paper, which is better to adapt the intelligent vehicle lateral tracking control under complex multi-conditions. First, the Gustafson–Kessel algorithm was used for the cluster analysis based on the vehicle test data to obtain the clustering center and train the sample data of each typical steering condition. Then, a multi-model structure was constructed by least squares support vector machines, and the sub-models of each category were taken as the prediction model for the application of MPC. Hence, the objective function of multi-objective optimization can be established and the multi-objective optimization problem was solved by the non-dominated sorted genetic algorithm-II algorithm to obtain the optimal control quantity. Finally, the MMPC-based intelligent vehicle lateral tracking control system was used to control the vehicle lateral tracking under three steering conditions, including straight line, normal right turn, and U-turn, through a simulation study in the MATLAB/Simulink environment. By comparing the vehicle trajectory, steering wheel angle, lateral deviation, and lateral angle, the performance of the proposed control method was verified. The experimental analysis results show that the proposed method can track the steering wheel angle of the vehicle reference trajectory under various working conditions. The vehicle lateral deviation value can be controlled in the range of (−1.0 m, 0.5 m). The high-precision lateral tracking control ensures that the yaw rate of the vehicle can track the yaw velocity under the reference driving track and guarantees the driving stability of intelligent vehicles.
Time domain measurements of high electric fields due to spark gap resonator
Authors: Doma Ratan Sanjay , Azeemuddin Syed
Published: July 2020

Measurement of the electric field radiations by ultra-wideband antenna is a challenging task. In general, all the antennas are measured for the radiation pattern and return loss to estimate their overall performance. However, when it comes to the antennas that are fed by very high voltages (HV), in the order of few hundreds of kilo volts and the input is not continuous, the measurements become complex. There arises an ambiguity in deciding about the peak value of the high electric fields generated, especially when the HV electric discharge mechanism is involved in the radiation of the antenna. The electric discharges are, in general, not repetitive. This paper proposes a measurement technique that is well suited for measuring the high electric fields, especially in the order of hundreds of kV/m. The proposed measurement procedure is verified and validated by experiments. The repeatability and reliability of the proposed measurement procedure are checked and presented here.
Achieving μeV tunneling resolution in an in-operando scanning tunneling microscopy, atomic force microscopy, and magnetotransport system for quantum materials research
Authors: Schwenk Johannes , Kim Sungmin , Berwanger Julian , Ghahari Fereshte , Walkup Daniel , Slot Marlou R. , Le Son T. , Cullen William G. , Blankenship Steven R. , Vranjkovic Sasa , Hug Hans J. , Kuk Young , Giessibl Franz J. , Stroscio Joseph A.
Published: July 2020

Research in new quantum materials requires multi-mode measurements spanning length scales, correlations of atomic-scale variables with a macroscopic function, and spectroscopic energy resolution obtainable only at millikelvin temperatures, typically in a dilution refrigerator. In this article, we describe a multi-mode instrument achieving a μeV tunneling resolution with in-operando measurement capabilities of scanning tunneling microscopy, atomic force microscopy, and magnetotransport inside a dilution refrigerator operating at 10 mK. We describe the system in detail including a new scanning probe microscope module design and sample and tip transport systems, along with wiring, radio-frequency filtering, and electronics. Extensive benchmarking measurements were performed using superconductor–insulator–superconductor tunnel junctions, with Josephson tunneling as a noise metering detector. After extensive testing and optimization, we have achieved less than 8 μeV instrument resolving capability for tunneling spectroscopy, which is 5–10 times better than previous instrument reports and comparable to the quantum and thermal limits set by the operating temperature at 10 mK.
Planar GeSn photodiode for high-detectivity photodetection at 1550 nm
Authors: Lee Kuo-Chih , Lin Min-Xiang , Li Hui , Cheng Hung-Hsiang , Sun Greg , Soref Richard , Hendrickson Joshua R. , Hung Kuan-Ming , Scajev Patrik , Medvids Arthur
Published: July 2020

We report an investigation of a planar GeSn p–i–n diode for a high-detectivity photodetector based on an undoped GeSn film. By fabricating n- and p-type regions on the plane of the GeSn film using the complementary metal–oxide–semiconductor technology of ion implantation, a low dark current density is revealed and attributed to the low defect density of the film and current flow suppression around the diode periphery. This yields a specific 1550-nm detectivity of ∼1010 cm Hz1/2 W−1, an order of magnitude higher than that of conventional vertical GeSn-based diodes and comparable to that of commercially available Ge-based diodes. This work provides an alternative approach for achieving a high-detectivity GeSn photodetector that may facilitate its potential applications.
GaAs/Al0.8Ga0.2As separate absorption and multiplication region x-ray spectroscopic avalanche photodiodes
Authors: Whitaker M. D. C. , Lioliou G. , Krysa A. B. , Barnett A. M.
Published: July 2020

A GaAs/Al0.8Ga0.2As separate absorption and multiplication (SAM) x-ray avalanche photodiode (APD) structure was grown by metalorganic vapor phase epitaxy. Mesa photodiodes of different diameters (200 μm and 400 μm) were fabricated from the structure. Two of the photodiodes (one of each diameter) were characterized at 20 °C for their electrical properties and response to x rays using an 55Fe radioisotope x-ray (Mn Kα = 5.9 keV; Mn Kβ = 6.49 keV) source. An energy resolution of 508 eV ± 5 eV full width at half maximum (FWHM) at 5.9 keV was achieved at an apparent avalanche gain, M, of 1.1. This is the best energy resolution so far reported for GaAs/AlxGa1−xAs x-ray SAM APDs. The noise components associated with the achievable spectroscopic energy resolutions are reported. Comparisons between the 200 μm and 400 μm diameter GaAs/AlxGa1−xAs SAM x-ray APDs and recently studied GaAs p+-i-n+ detectors were made, showing that the inclusion of the avalanche layer improves the achievable energy resolution; energy resolutions of 508 eV FWHM at 5.9 keV at M = 1.1 and 603 eV FWHM at 5.9 keV at M = 1.2 were achieved with the 200 μm and 400 μm diameter GaAs/AlxGa1−xAs SAM x-ray APDs, respectively; this is better than was previously reported for similar devices without avalanche layers: 690 eV FWHM at 5.9 keV and 730 eV FWHM at 5.9 keV for 200 μm and 400 μm diameter GaAs p+-i-n+ detectors, respectively [Lioliou et al., J. Appl. Phys. 122, 244506 (2017)].
Exact analytic solution for a chaotic hybrid dynamical system and its electronic realization
Authors: Corron Ned J. , Cohen Seth D. , Beal Aubrey N. , Blakely Jonathan N.
Published: July 2020

A novel hybrid dynamical system comprising a continuous and a discrete state is introduced and shown to exhibit chaotic dynamics. The system includes an unstable first-order filter subject to asynchronous switching of a set point according to a feedback rule. Regular samples of the continuous state yield a one-dimensional return map that is a tent function. An exact analytic solution is derived using a nonlinear transformation of a previously solved chaotic oscillator. Conjugacy to a symbolic dynamics is shown, and a practical realization of the system in an electronic circuit is demonstrated.
Investigation on surface wave morphologies of a low-intermediate pressure jet with non-circular nozzles
Authors: Jiang Yue , Liu Jialing , Hua Lin , Li Hong , Ye Daoxing
Published: July 2020

The high-speed photography, large eddy simulation, and coupled level set and volume-of-fluid methods were used to study the initial flow structures, the wave morphologies, and the instantaneous velocity distributions of three-dimensional jets from non-circular nozzles at different viewing sections under low pressure conditions. Two non-circular nozzles, including square and triangular orifice shapes, were designed based on the principle of the equal flow rate at the same pressure. The results showed that the surface waves of the square and triangular jets increased as the working pressures increased due to the air resistance increments, and more fluid band structures and droplets appeared. For the different viewing sections of the jets from the square and triangular nozzles, the surface wave was distributed symmetrically on both sides of the jets for the square nozzles. The jet flowing from the orifice’s symmetrical angles had better aggregation than the jet flowing from the orifice’s edges. The amount of fluid that moved continuously with the jet increased with the entrainment of the air into the jet, and the jet’s instantaneous velocity gradually decreased. As the jet developed, the vortexes gradually spread and entrained the surrounding medium to transfer energy, causing it to decay exponentially along the jet axis. Moreover, the jet’s instantaneous velocity distributions at different vertical sections along the jet’s direction were completely clear from the three-dimensional view. The shapes of the instantaneous velocity parabola in different vertical sections were analyzed in detail, and zigzag-shaped parabolas from the triangular jet were observed.
Self-propelled torus colloids
Authors: Wang Jiyuan , Huang Mu-Jie , Kapral Raymond
Published: July 2020

Suspensions of chemically powered self-propelled colloidal particles are examples of active matter systems with interesting properties. While simple spherical Janus particles are often studied, it is known that geometry is important and recent experiments have shown that chemically active torus-shaped colloids behave differently from spherical colloids. In this paper, coarse-grained microscopic simulations of the dynamics of self-diffusiophoretic torus colloids are carried out in bulk solution in order to study how torus geometric factors influence their active motion. The concentration and velocity fields are key ingredients in self-diffusiophoretic propulsion, and the forms that these fields take in the colloid vicinity are shown to be strong functions of torus geometric parameters such as the torus hole size and thickness of the torus tube. This work utilizes a method where self-diffusiophoretic torus colloids with various geometric and dynamical characteristics can be built and studied in fluid media that include chemical reactions and fluid flows. The model can be used to investigate the collective properties of these colloids and their dynamics in confined systems, topics that are of general importance for applications that use colloidal motors with complex geometries.
The role of oral history in archiving archaeology: a case study from La Trobe University, Melbourne, Australia
Authors: Spry Caroline , Garvey Jillian , Frost Emmy
Published: July 2020

Warning
Aboriginal and Torres Strait readers of this article are warned that it may contain images of ancestral remains.
Compiling a history of archaeology is critical for evaluating, understanding and contextualising the current state of the discipline. While oral histories provide vivid accounts of people, events and decisions from sources with direct relationships to these moments in time, they have played a limited role in building historical narratives of archaeology as a discipline. A moderated conversation between Emeritus Professors David Frankel and Jim Allen and Professor Susan Lawrence on the early and more recent history of archaeology at La Trobe University, Melbourne, held during the university’s 50th anniversary celebrations in 2017, provides a glimpse of the discipline’s past, present and future in Australia. This paper presents the key themes and topics from this conversation with accompanying excerpts, providing an important case study of how oral history can assist with archiving this discipline.
Effects of fuel characteristics on horizontal spread rate and ground surface temperatures of smouldering duff
Authors: Cowan Daniel A. , Page Wesley G. , Butler Bret W. , Blunck David L.
Published: July 2020

The slow-moving flameless burning of wildland fuels (i.e. smouldering) can be difficult to detect and challenging to extinguish. Although previous research involving the smouldering of organic fuels (e.g. cotton, cellulose, peat) has investigated the influence of various fuel characteristics (e.g. moisture content, inorganic content, bulk density) on spread rate and surface temperatures, the smouldering behaviour of other common fuels is not well understood. This study expands on previous research to better understand how fuel characteristics influence the smouldering behaviour of duff from coniferous forests. Specifically, horizontal spread rates (0.5–19.5cm h−1) and ground surface temperatures (258–392°C) were measured on 52 duff samples collected from underneath mature ponderosa pine trees (Pinus ponderosa) from sites in the Pacific Northwest, USA, and evaluated in terms of their moisture content (6–113%), inorganic content (3–42%), bulk density (34–130kgm−3) and fuel depth (3.8–16.3cm). The data suggested that horizontal spread rates decrease when inorganic content, inorganic loading and/or moisture loading of the duff increases. Surface temperatures decrease when inorganic bulk density and/or fuel loading increases. Conversely, surface temperatures decrease when moisture content increases for shallow duff. Higher fuel loading increases the likelihood of smouldering below the surface.
Detach CTS for active load balancing in 802.11 networks
Authors: Suherman S , Jasman R , Pinem M , Gunawan
Published: July 2020

Transmit power reduction is the most common algorithm to achieve load balancing in either 802.11 or cellular networks. The method does not require changes in the user terminal; however, the method requires access point (AP) to have a multi-level front-end power amplifier so that transmission power can be adjusted accordingly. Transmit power reduction also removes the quality of services that may be applied to some users. Such flaws may contradict the value-added services offered by certain access points or cellular base stations. This paper proposes a simple method to avoid power reduction in 802.11 networks. Load balancing is achieved by ordering disconnection for unwanted users by sending a detach clear to send (CTS) signal in response to a request to transmit (CTS) sent by users. Although it violates the standard Ethernet algorithm, it may be applicable in the future standard. By receiving detect CTS, the user is simply disconnected to existing AP and finding the alternative AP. Simulation evaluations show that the method successfully maintains the average throughput as well as maintains the possible prioritized users.
Preliminary Research Design on Sensor Data Gathering for Air Quality Text Generation
Authors: Aulia Indra , Hizriadi Ainul , Seniman  , Muhibuddin
Published: July 2020

Air pollution is one of the environmental problems faced by many countries (i.n. the developing countries). It often harms the health of people, plants, and animals as well as our environment. To decrease the risks, e ective and e cient technology for air quality monitoring is indispensable. In Indonesia, it is still limited in the case of the number of devices and the dissemination of air quality information. This paper describes the preliminary research design of air quality monitoring technology based on the Internet of Things (IoT) and Natural Language Generation (NLG) for solving these limitations. It de nes air quality knowledge in the form of a set of rules and presents the architecture design for data gathering and text generation. Data gathering uses the related sensors which are able to collect the values of parameters as air quality indicators. Then, the collected values are identi ed to be used for generating the textual information in Indonesian language to social media, such as twitter. So, in this research, the proposed solutions are able to solve the problems properly.
Simulation Analysis of Polymer Electrolyte Membrane Fuel Cell Using Aspen Plus
Authors: Sinurat F K , Sitorus T B , Bin Nur Taufik , Susilo H
Published: July 2020

We present a simulation of proton exchange membrane fuel cell (PEMFC) system to convert the chemical energy stored in hydrogen into electrical power. The PEMFC model was developed using Aspen Plus and then analyzed to find the electricity generated. In the PEMFC system simulated in this study, hydrogen gas enters the heat exchanger prior to entering the anode to increase its temperature up to 80 °C. Around 80% of hydrogen used during electrochemical reactions with the oxygen, which entered from the cathode side. The proton and electron of the hydrogen combine, react with the oxygen provided, and produce water and heat. Based on the analysis, the power generated by the PEMFC system is 0.23 kW with current density of 1 x 10−3 A/m2 and MEA area of 3 x 10−2 m2, and the number of cells in stack is 135 cells.
Social network extraction based on Web: 4. A framework
Authors: Nasution Mahyuddin K M , Azman Mohd Noah Shahrul
Published: July 2020

Social network extraction from information sources, as a research, requires the right steps. However, it is not enough, it need accurate description that explains the steps in one framework so that the flow of the extraction implementation information is well, as well as the extraction occurs systematically. In this paper, a framework for social network extraction has been outlined by involving several formulations and measurements as an explanation.
Methodology
Authors: Nasution Mahyuddin K M
Published: July 2020

Naturally, human do the search for truth in various ways. All of that becomes methodological, but not a methodology. The right way and produce truth by involving the principle of believing the truth, getting a way, and having a purpose. So, its not justification. Three basic principles of methodology are not enough. However, the methodology becomes the method science, it needs to be systematic that flows the truth logically, and needs a structure to form the truth logically. Thus, abstraction is helped by rules or formulations that describe the structure, at least from the point formation, as definitions, lemmas, propositions, theorems, or corollaries.
An Implementation of Backtracking Algorithm for Solving A Sudoku-Puzzle Based on Android
Authors: Herimanto  , Sitorus P , Zamzami E M
Published: July 2020

Sudoku is a pretty popular number game. The goal of this game is to fill a 9x9 matrix with unique numbers, and there should not be repeated numbers in each row, column, or block. This paper proposed a solution to solve Sudoku using the Backtracking Algorithm. This algorithm is quite efficient because it does not have to check all the possibilities that exist, but which leads to only the solution that will be processed, namely by pruning every element that does not lead to the solution. Thus the time required is quite efficient and suitable for use in reasonably complex numbers games like sudoku. By implementing the backtracking algorithm in the sudoku game, the complexity of the algorithm can be as large
θ
(n3).
Evaluation of working fluids for organic Rankine cycle power plant with Aspen plus
Authors: Ambarita H. , Sihombing H V
Published: July 2020

Power generation using Organic Rankine Cycle (ORC) was studied in this paper. A thermodynamic model was achieved in Aspen Plus environment and the highest output power and efficiency were obtained for on variance working fluids. The Organic Rankine Cycle (ORC) is analysed using commonly used working fluids for cycle use, they are R245fa (1,1,1,3,3-Pentafluoropropane), R11 (Trichlorofluoromethane), and R123 (2,2-Dichloro-1,1,1-trifluoroethane) . The results show that some of the effects of the pressure on the inlet turbine, and working fluids variances on the performance of the cycle. The output power turbine and efficiency of the system were simulated and discussed.
Analysis of Dijkstra’s Algorithm and A* Algorithm in Shortest Path Problem
Authors: Rachmawati Dian , Gustin Lysander
Published: July 2020

Finding the shortest path in direction effective is essential. To solve this shortest path problem, we usually using Dijkstra or A* algorithm. These two algorithms are often used in routing or road networks. This paper’s objective is to compare those two algorithms in solving this shortest path problem. In this research, Dijkstra and A* almost have the same performance when using it to solve town or regional scale maps, but A* is better when using it to solve a large scale map.
Literature Review : Implementation of Facial Recognition in Society
Authors: Zarkasyi M I , Hidayatullah M R , Zamzami E M
Published: July 2020

At one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past few years. Facial recognition technology (FRT) has emerged as an attractive solution to address many contemporary needs for identification and verification of identity claims. It brings together the promise of other biometric systems, which attempt to tie identity to individually distinctive features of the body, and the more familiar functionality of visual surveillance systems. This report develops a socio-political analysis that bridges the technical and social scientific literature on FRT and addresses the unique challenges and concerns that attend its development, evaluation, and specific operational uses, contests, and goals. It highlights the potential and limitations of the technology, noting those tasks for which it seems ready for deployment, those areas where performance obstacles may be overcome by future technological developments or sound operating procedures, and still other issues that appear intractable. Its concern with efficacy extends to ethical considerations. Face recognition technology may solve this problem since a face is undeniably connected to its owner except in the case of identical twins. It’s nontransferable. The system can then compare scans to records stored in a central or local database or ever on a smart card
Arduino UNO and Android Based Digital Lock Using Combination of Vigenere Cipher and XOR Cipher
Authors: Budiman MA , Tarigan JT , Winata AS
Published: July 2020

Data security becomes an important thing in the computer era nowadays, especially in digital lock. Because of easy to use, there is a lot of digital locks connected to Android smartphone. However, the security of digital lock is lower if commands and passwords exchange is unprotected. That is why algorithm combination concept is important to be applied. Vigenere Cipher and XOR Cipher algorithm combination is simple to be applied, where both are symmetric cryptography algorithm which has advantage in short calculation time, so the plaintext processing can run quickly. To implement the cryptography algorithm combination concept, a digital lock prototype is also needed. One of the best microcontroller for prototyping is Arduino UNO. It can communicate with other devices through Bluetooth connection especially Android smartphone if connected to Bluetooth module. The Arduino UNO based digital lock will communicate with Android smartphone via an application in the smartphone. It is found that Vigenere Cipher and XOR Cipher algorithm combination, and also other support algorithms can improve the secrecy of communication between devices in the digital lock system.
Virtual Pet Simulator Game Using Augmented Reality on Android Platform
Authors: Chahyana Joanna , Yesmaya Violitta
Published: July 2020

Augmented reality is one of the interactive technologies that can be used to help the user to easily interact with the system. The game application called AR Virtual Pet Simulator is a simulator game which uses Augmented Reality technology to display a virtual pet, for the purpose of enhancing the users’ experience. Users can also interact by using application to understand the daily behaviours of pets. Application development methods are carried out starting from gathering requirements, design, implementation, to testing and evaluation. Results from the end evaluation shows that the application was well-liked by users and it could help users in knowing how to take care of pets, but the experience of using the application is not the same as having a pet in the real world. Conclusion gathered from the research is that applications with virtual pets are not able to entirely replace real pets but are able to provide knowledge on taking care of pets. Where users cannot interact directly with pets.
Analysis and Comparison of Hough Transform Algorithms and Feature Detection to Find Available Parking Spaces
Authors: Rahman S , Ramli M , Arnia F , Muharar R , Luthfi M , Sundari S
Published: July 2020

Parking space is one of the most critical needs of people’s lives, especially in Indonesia. According to the Central Statistics Agency, vehicle growth in Indonesia in the last ten years is 9% per year. Meanwhile, parking needs are being eroded by settlements, shops, and public service buildings. Limited parking lots make it hard for drivers to find available parking spaces. When looking for a parking space, it was causing impacts such as traffic jams, air pollution, causing noise and panic. The intelligent parking system is the solution to this problem. This system can provide information on available parking slots. In this study, parking locations are marked with a circle. If a circle is visible, then a parking lot is available, and if not, then the parking location has been filled by the vehicle. Circle objects in images taken using the camera can be identified by the Hough transformation method or feature extraction. These two methods are compared to measure the accuracy and speed of the process. Experiments and observations on the performance of both methods show that both methods can recognize the location of the available parking slot. The feature extraction method has a better detection speed with an average processing time of 1.1 seconds. The Hough transformation algorithm has an average processing time of 4.1 seconds. Then it can be concluded that the feature extraction method is better applied to the smart parking system.
An Improved Precise Positioning Method for Intelligent Mine Construction
Authors: Chen Kang , Du Zhigang , Guo Lin , Kou Qiqi
Published: July 2020

Precise positioning plays an important role in the construction of intelligent coal mines. However, existing precise positioning methods often have problems with long positioning period, limited positioning capacity and low precision. To overcome these shortcomings, this paper proposes a time-division downlink time-difference-of-arrival (TD-D-TDOA) positioning method. In the proposed method, the base station first implements clock synchronization with the reference clock by direct or relay. Then the base station allocates the time for transmitting two positioning messages according to its serial number. Finally, the label uses these messages to obtain the TDOA and its location information. The proposed precise positioning method has the advantages of millisecond positioning cycle, self-position calculation, unlimited positioning capacity and high positioning accuracy. Moreover, the tag only needs to receive the location information broadcast by the base stations in the positioning process, which reduces the coupling degree between the tag and the location base station, as well as the cost of the tag hardware. Experimental results demonstrate that our method has a positioning accuracy of less than 20cm and a positioning frequency of up to 20 times per second, while also having high positioning stability.
Improving Data Quality in Crowdsourced Data for Indonesian Election Monitor: A Case Study in KawalPilpres
Authors: Gunawan F , Ruldeviyani Y
Published: July 2020

ICT has enabled democratic process to be more transparent and enabled citizens’ participation in the election process. However, public trust is a mandatory requirement for a good democratic transition. Participation in monitoring election process could be implemented as a crowdsourcing effort to improve public trust in the election result which in this article based on a case study of KawalPilpres to monitor 2019 Indonesian presidential election. Trust factor is a key success for monitoring effort. Therefore, data quality becomes necessity. Data quality is assessed using Loshin’s maturity assessment and analysed using Loshin’s improvement strategies. Based on our assessments, there are three top categories for improvements namely governance, expectations, and policies of data quality management.
User Experience in using VIVE Controller as a Controller in Anatomy Learning System in Virtual Reality Environment
Authors: Nainggolan F , Siregar B , Fahmi F
Published: July 2020

Anatomy is not only can be learned by reading a text book, but also by using an interactive system, such as virtual reality. In this paper, an anatomy learning system using VIVE Controller has been developed. User agreement survey and user satisfaction surveys are required to determine the interactivity level of VIVE Controller in the system. The result of this research shows that users agree that using VIVE Controller in anatomy learning system in virtual reality environment is very interactive with an average score of 4.33. The result also shows that users are satisfied using VIVE Controller in this system.
IndoAcro: An Indonesian Acronym and Expansion Repository with Data Auto-Update Implementation
Authors: Abidin T F , Ferdhiana R , Iqbal M , Syaputra D , Putera T W A , Aksana M Z
Published: July 2020

IndoAcro is an Indonesian acronym and expansion repository created using machine learning and big data technology. The repository can be publicly accessed from www.indoacro.cs.unsyiah.ac.id. Six important steps of IndoAcro have been developed and implemented, which consists of (1) data crawling, (2) data cleaning, (3) generating candidate pairs of acronym and expansion, (4) generating numerical features, (5) classifying the candidate pairs, and (6) filtering the classification results. In this study, we introduce and analyze the implementation of data auto-update for IndoAcro. Since it was developed, IndoAcro has 2,232 pairs of acronym and expansion, collected from more than 50 thousand online news articles. Because no auto-update approach has been implemented previously, the number of acronym and expansion pairs in the database is monotonous, dull, and static. In this study, we introduce and analyze the implementation of data auto-update for IndoAcro. We have analyzed and evaluated the data auto-update process for 180 days, each process consists of 2 days interval. We found that the data auto-update approach has successfully implemented and updated the data for IndoAcro. We collected 1,639 pairs of acronym and expansion in the first run, 343 and 224 pairs in the second and third runs.
Analysis of The Application of Fuzzy Logic and Levenberg-Marquardt in The Calculation of Used Car Prices
Authors: Syahputra I , Zarlis M , Sutarman
Published: July 2020

In this study using two methods, namely Sugeno Fuzzy Logic and Levenberg-Marquartd methods. The data to be used is data from used Toyota Avanza cars for Medan and surrounding areas. The use of the fuzzy method in this study is based on its superiority in solving vague problems so that it is considered to be suitable for the condition of a used car in which each unit has different conditions. The results of the use of Sugeno fuzzy data obtained will be used as input into the levenberg-marquardt (LM) network which has a fairly good ability to perform calculations, especially to predict an output with a more efficient time. LM produces an output with a small Minimun Square Error (MSE) value of 3.64 in testing with 9 hidden layers. On the other hand, to analyze the resulting error, a comparison is made between networks that have 9 hidden layers, 27 hidden layers and 81 hidden layers with the smallest MSE results obtained on a network with 9 hidden layers.
The Accuracies of ANFIS and Genetic Algorithm with Tournament Selection on Classifying Hepatitis Data
Authors: Siahaan W FA , Sitompul O S , Situmorang Z
Published: July 2020

Classification is an important technique in data mining to create patterns and data modeling. Hepatitis is a disease that is dangerous to humans as this disease affects the human liver which is a vital organ. Early detection of hepatitis by diagnosing its occurrence on patients is needed to give them help, care, and treatment. Therefore, a classification technique is required to create patterns and models of data. To achieve accuracy in classifying hepatitis there would be requirements to separate relevant from irrelevant features. By only considering relevance features in classifying hepatitis, it is expected that the classification process will be faster, easier, and more accurate. In this research, the ANFIS algorithm and genetic algorithm are used in classifying the diagnosis of hepatitis based on a dataset from the UCI data mining repository. Results obtained showed that the genetic algorithm gave a slightly higher accuracy of 98.73% compared to 86.67% results obtained using ANFIS.
Classification of Zingiber Plants Based on Stomate Microscopic Images Using Probabilistic Neural Network (PNN) Algorithm
Authors: Andayani U , Sumantri I B , Arisandy B
Published: July 2020

Herbal plants are medicinal plants included in the first choice for medicinal ingredients for rural residents. Herbal plants such as ginger and lime are plants that are often used and have plants that are similar in level. One way to identify these types of plants is through stomata microscopic imagery. As for the inspection that is still done manually by the pharmacists, the manual inspection takes a long time and misidentification may occur because there are some similarities with direct viewing, so a method is needed to identify the types of herbal plants based on stomata microscopic images automatically and to improve accuracy in the identification process. The method proposed in this study is Probabilistic Neural Network for the identification of herbal plant types based on stomata microscopic images and the algorithm used to identify these plant types Probabilistic Neural Network (PNN). Before the identification stage, the image will go through three stages, namely preprocessing, segmentation and feature extraction using the Gray level co-occuration matrix method. After testing using 20 microscopic image data of ginger and bitter ginger stomata. It was concluded that the proposed method has the ability to identify types of herbal plants with an accuracy percentage of 90 %.