bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and Factors of Failure Risk in Refill Drinking Water Quality by Using Ishikawa Diagram
Authors: Hidayah E.N. , Veronica G. , Cahyonugroho O. H. 
Published: May 2021

Abstract
The owner of refill drinking water stores (RDWS) have a big opportunities to expand their business since most of people need drinking water with the cheaper price than bottled drinking water. However, some issues regarding the quality of refill drinking water (RDW) have been arised recently, such as issue of pathogen existence in the treated water of RDW. This study aims are to measure the RDW quality and to identify the factors of failure risk of RDWS in treating RDW by using Ishikawa diagram. Study was carried out in 23 RDWS in Gunung Anyar District of Surabaya City. Sample was taken and measured for pH, turbidity, total dissolved solid (TDS), total coliform and Eschericia coli concentration. Ishikawa diagram was applied to reveal risk failure factors of RDW treatment processes. The results show that microbiology parameters was not fulfilled the drinking water quality standard. Ishikawa diagram found that man, material, method, machine, monitoring and evaluation for environment were the factors of failure risk. Therefore it is necessary to provide recommendations to reduce the failure risk of microbiology parameters through UV or Ozone contact time of at least 4 minutes, routine monitoring of treatment units, preparing procedure operational standard.
Design of Fuzzy Sugeno Controller for Anti-Roll Stabilizer Using Flywheel
Authors: umam Faikul , Widyaningrum Vivi Tri , Budiarto Hairil 
Published: May 2021

Abstract
Ship stabilizers are still an interesting issue to develop. The ship changes a lot like the rolling motion caused by the waves. The scrolling effect of the ship causes passenger inconvenience and collisions. Therefore, a stabilizer is needed to reduce rolling so that the ship stays balanced. This stabilizer is mounted on the center of the ship to effect the rolling ship effect. This research developed an anti-roll stabilizer by utilizing the flywheel. The flywheel rotates on the stabilizer shaft producing Direction force and value magnitude. To control the flywheel speed, a fuzzy logic controller is used. The results of the study showed that the Anti-roll stabilizer was able to reduce rolling vessels by 26% from the front and rear directions of the ship, and 56% from the left and right directions.
Investigation of Groundwater Potential Based On Vertical Electrical Sounding Methode On Gosoma District In North Halmahera
Authors: Sahdar I , Rauf I , Gaus A 
Published: May 2021

Abstract
Population growth has encourage an increasing of clean water needs as a basic human necessity, both in terms of quality and quantity. River water and rain water are sources of raw materials for these elementary needs, however global climate change has indirectly affected the hydrological characteristics of the last few decades. Thus, the use of ground water is a solution in meeting these needs. The research aims to identify the potential presence of ground water that can be used as a source of fresh water in the village of Gosoma, Tobelo, North Halmahera Regency. This potential fresh water investigation was carried out using a Mc Ohm Mark-2 OYO resistivity meter, while the Schlumberger configuration was the measurement method used. The length of the track geoelectric extends as far as 1,060 m, while for transverse profiles as far as 560 with a total number of measurement points of 6 points. The results of geoelectric measurements show that there are 2 layers that have the potential as deep aquifers. First groundwater layers predicted at a depth that varies between 21.10 m - 83.00 m and secondary groundwater layer may exist deeper than 95.90 m above the surface. This result were indicated by resistivity values measured at the observed points, where the values varies from 18.10 ohms to 91.30 ohms. Those resistivity value illustrates that lithology of the soil layer were indicated as a layer of sand and sandy tuff, where both of the rock lithologies layer have a potential as a layer of ground water.
Installation of Handphone Signal Booster Antennas at 900 MHz Frequency in Onggari Village Merauke Regency
Authors: Murniani  , Corputty Roberto , Letsoin Vinsensius , Ponadi Acep 
Published: May 2021

Abstract
The importance of cellular communication demands to improve the quality of good and quality services in all regions including rural areas. The limitations of BTS signal propagation in Kumbe village have disrupted cellular communication services in Onggari village. By using the Yagi antenna 13 elements as a cellular signal amplifier that is modified by using a repeater so that the handphone signal can be accessed at a greater distance from the BTS location. The results obtained after mounting the signal amplifier antenna is very good where the signal increase is at 4 Barr, the signal strength is -75 dBm at a distance of 1 meter with “excellent” sound quality, while the results of the measurement of signal strength and signal quality for sunny weather are better than when it rains.
Design Of Monitoring Robot Based On Bogie Rocker System
Authors: Sukri Hanifudin , Dafid Ach. 
Published: May 2021

Abstract
The system using CCTV cameras (Closed Circuit Television) that are currently in use still has many shortcomings. This is what underlies the making of a monitoring robot using a rocker bogie system and a camera that can be adjusted as desired and can display the situation in the room through a smartphone connected to a WiFi network. The transfer process uses IP cameras, nodeMCU, relays, DC motors and servo motors so that the monitoring process can run well. IP camera is used as a camera that will take pictures of the state of the room being monitored, this camera uses a wifi network connection to connect with other devices. nodeMCU is used as a controller while connecting the system with a wifi network. Control and navigation using smartphone applications connected to the same WiFi network. With the robot, the remote monitor becomes wider because of the movement process that can walk and climb stairs easily.
Comparative assessment of green ball-manufacturing alternatives using Green Productivity Index (GPI)
Authors: Findiastuti W , Mualim  , Aminawati D N 
Published: May 2021

Abstract
This paper compares three alternatives of green ball-manufacturing to replace existing ball-manufacturing. Using Green Productivity Index (GPI), alternatives were evaluated on their total productivity to its environmental pressure. Productivities were measured as their selling price per production cost, while environmental pressures were determined as their seven green-waste analysis through the manufacturing. The result showed that alternative 3 has the highest GPI which is combination of solid waste and water waste utilization.
Exergy Modeling of Monocrystalline Silicon Solar Cells with Spectral Irradiation Variations
Authors: Hariyanto  , Parenden D , Wullur C W , Sariman F 
Published: May 2021

Abstract
Exergy modeling was made to analyze the work performance of monocrystalline silicon solar cells. Analysis is done by making modeling and simulation of the equation and parameter data that affect the amount of photon energy and the exergy rate at PV. The incident radiation source used varies on the (0.05, 0.1, 0.3 and 0.5 Suns) in the AM1.5G spectral response standard. Calculation analysis with the model made shows that the PV module photonic energy is greater than the photonic exergy, this is related to the irreversibility of the PV module conversion system.
Simulation and kinematic analysis of KUKA KR5 Arc robot
Authors: Jha Aparna , Soni Manoj , Suhaib Mohd 
Published: May 2021

Abstract
Nowadays robots have become an indispensable part of manufacturing systems, for gripping needs manipulators are needed. Trade sector is touching industry 4.0 and asks for a much-advanced automation process. In which commercial robots play an essential role in automating the methods such as material handling, palletizing, painting, assembly lines, and numerous applications. With the increase in demand and need to have more research on engineering robots, artificial intelligence, and machine learning. A systematic design and analysis study is needed to get the best output for a specific robot. In India, there is scarcity of Indian based robot manufacturers to satisfy the rising need. Hence, there is more influence of foreign robot manufacturer in Indian markets. Due to the deficient information in robotics, robot part and resources are unavailable. More and more open source and easily access information regarding industrial robot is needed. So, this work emphasis on the developing and designing six degrees of freedom robotic arm and its kinematic analysis particularly forward and inverse kinematics. This paper gives an idea of the Denavit Hartenberg method for forward and inverse kinematics of a 6 axis KUKA KR5 Arc robot and uses RoboAnalyzer simulation software. The Robo Analyzer is simulation software that is used for design, kinematics, and dynamic analysis.
Aerodynamics Characteristics of Compound Delta Wing at Sea Level
Authors: Gupta Gaurav , Tiwari Pranav , Vatsa Bhanu Pratap , Sahay Aashish Anand , Srikanth K S , Vidya Shrikant 
Published: May 2021

Abstract
Compound delta-wing aircraft are in the top tier for great maneuverability and satisfactory take-off and landing speeds and low distance as delta wing have a property of vortex generation at different speeds, during flight the property of vortex generated depends on factors like the coefficient of lift, coefficient of drag and shock wave impact absorption upon varying speed from subsonic speed and supersonic speed with changing attack angle is studied by flow visualization of the wing in Ansys Fluent using ’k-ε 2nd equation model’ to simulate mean flow characteristics for turbulent flow conditions. Vortex generation is studied for flow physics at Subsonic speed and Supersonic speed at sea level over Pressure and Density based respectively. The flow velocity at Subsonic is 260m/s and 686m/s for Supersonic. During the experiment, we observed that the vortex flow generation of observable output starts forming at 5° angle of attack following a powerful vortex at 10° leading to a shortfall powerful vortex at 15° for both subsonic and supersonic speeds but as velocity is more in the supersonic state the vortex is denser and more stable and provides better shock absorption while transitioning on higher attack angle and lift force is very sensitive for the supersonic state as drag is substantially increased with speed.
Study on the effect of heat exchange tube structure on waste heat recovery capacity of the internal combustion engine in the freshwater distillation system
Authors: Minh Dien Vu , Vu Quang Khong , Duy Tien Nguyen , Toi Le Manh 
Published: May 2021

Abstract
In the Internal Combustion Engine (ICE) working operation, fuel is fed into the combustion chamber, where it is burnt in air to convert the chemical energy of fuel into heat according to the first law of thermodynamics. However, the amount of energy transformed into actual power is only 21-33% and 25-40% for gasoline engines and diesel engines, respectively. Consequently, about two-thirds of the remaining energy is lost due to the heat transfer to the surrounding environment, in which the heat energy removed by the exhaust occupies the largest proportion (about 30-35%). Therefore, utilizing the regenerative heat from the exhaust gases is a potential solution to improve the ICE’s efficiency. This paper presents the simulation results of the effect of heat exchange tube structure on waste recovery capacity in the system, which utilizes the heat of exhaust gases and cooling water of ICE based on Ansys Fluent. In addition, the boundary conditions, the flow, and exhaust temperature are determined by simulating the engine’s working process using AVL-Boost. This research shows that the heat utilization efficiency of exhaust energy can be achieved up to 34%, corresponding to a reasonable structure. This research’s study outcomes are the foundation to implement the complete design of the heat waste recovery system of ICE.
The deterioration of 100 years old coated steel bridges
Authors: Paglia C. , Antonietti S. , Mosca C. 
Published: May 2021

Abstract
Steel bridges have been widely built from the beginning of the XIX century. The structures were protected from the uniform atmospheric corrosion through Lead-containing coatings. These exhibited over the decades a very good resistance to degradation. Generally, a similar reduced corrosion was also observed for the rivets, which linked the structural elements. The degradation was mainly located in the regions directly exposed to rainfall or water flux. The formation of craters or exfoliation was only locally found. The enrichment of organic deposits promoted the permanence of humidity, which in turn, had an adverse effect on the steel conservation. Generally, the total coating thickness slightly decreased, and the long-therm protection was no longer attained. The content of Lead has a detrimental effect on the environment. Thus, the restoration works must consider the pollutant effect during its elimination and disposal.
Quantum autoencoders with enhanced data encoding
Authors: Bravo-Prieto Carlos 
Published: May 2021

Abstract
We present the enhanced feature quantum autoencoder, or EF-QAE, a variational quantum algorithm capable of compressing quantum states of different models with higher fidelity. The key idea of the algorithm is to define a parameterized quantum circuit that depends upon adjustable parameters and a feature vector that characterizes such a model. We assess the validity of the method in simulations by compressing ground states of the Ising model and classical handwritten digits. The results show that EF-QAE improves the performance compared to the standard quantum autoencoder using the same amount of quantum resources, but at the expense of additional classical optimization. Therefore, EF-QAE makes the task of compressing quantum information better suited to be implemented in near-term quantum devices.
Peel learning for pathway-related outcome prediction
Authors: Li Yuantong , Wang Fei , Yan Mengying , Cantu III Edward , Yang Fan Nils , Rao Hengyi , Feng Rui 
Published: May 2021

AbstractMotivationTraditional regression models are limited in outcome prediction due to their parametric nature. Current deep learning methods allow for various effects and interactions and have shown improved performance, but they typically need to be trained on a large amount of data to obtain reliable results. Gene expression studies often have small sample sizes but high dimensional correlated predictors so that traditional deep learning methods are not readily applicable.ResultsIn this article, we proposed peel learning, a novel neural network that incorporates the prior relationship among genes. In each layer of learning, overall structure is peeled into multiple local substructures. Within the substructure, dependency among variables is reduced through linear projections. The overall structure is gradually simplified over layers and weight parameters are optimized through a revised backpropagation. We applied PL to a small lung transplantation study to predict recipients’ post-surgery primary graft dysfunction using donors’ gene expressions within several immunology pathways, where PL showed improved prediction accuracy compared to conventional penalized regression, classification trees, feed-forward neural network and a neural network assuming prior network structure. Through simulation studies, we also demonstrated the advantage of adding specific structure among predictor variables in neural network, over no or uniform group structure, which is more favorable in smaller studies. The empirical evidence is consistent with our theoretical proof of improved upper bound of PL’s complexity over ordinary neural networks.Availability and implementationPL algorithm was implemented in Python and the open-source code and instruction will be available at https://github.com/Likelyt/Peel-Learning.Supplementary informationSupplementary data are available at Bioinformatics online.
Quartet-based inference is statistically consistent under the unified duplication-loss-coalescence model
Authors: Markin Alexey , Eulenstein Oliver 
Published: May 2021

Abstract

Motivation
The classic multispecies coalescent (MSC) model provides the means for theoretical justification of incomplete lineage sorting-aware species tree inference methods. This has motivated an extensive body of work on phylogenetic methods that are statistically consistent under MSC. One such particularly popular method is ASTRAL, a quartet-based species tree inference method. Novel studies suggest that ASTRAL also performs well when given multi-locus gene trees in simulation studies. Further, Legried et al. recently demonstrated that ASTRAL is statistically consistent under the gene duplication and loss model (GDL). GDL is prevalent in evolutionary histories and is the first core process in the powerful duplication-loss-coalescence evolutionary model (DLCoal) by Rasmussen and Kellis.

Results
In this work, we prove that ASTRAL is statistically consistent under the general DLCoal model. Therefore, our result supports the empirical evidence from the simulation-based studies. More broadly, we prove that the quartet-based inference approach is statistically consistent under DLCoal.

Supplementary information
Supplementary data are available at Bioinformatics online.
DOP54 Real-world effectiveness of thiopurine monotherapy in Crohn’s Disease: Is there still a place for thiopurines in the biological era?
Authors: Rezazadeh Ardabili A , Jeuring S F G , Mujagic Z , Romberg-Camps M J L , van Bodegraven A A , Jonkers D M A E , Pierik M J 
Published: May 2021

Abstract

Background
In current guidelines, thiopurines are still recommended as first-line maintenance therapy for patients with Crohn’s disease (CD). Due to their lack of immunogenicity, oral administration route and low costs, thiopurines are an attractive first-line treatment option. However, in recent studies the position of thiopurine monotherapy in CD has been questioned as a result of relatively lower overall effectiveness rates compared to ulcerative colitis. Real-world long-term effectiveness data substantiating the use and position of thiopurines in CD management remain sparse. We assessed long-term effectiveness of thiopurine monotherapy in CD using the population-based IBD South-Limburg (IBDSL) cohort.

Methods
All CD patients in the IBDSL cohort starting thiopurine monotherapy as first-line maintenance therapy between 1991–2014 were included. Thiopurine monotherapy was defined effective if either: (1) no escalation to biological treatment, (2) no course of corticosteroids, (3) no resective surgery or, (4) no hospitalization for active disease was required whilst on thiopurine treatment. Patients with early treatment discontinuation (i.e. &lt;3 months) were identified, including reason of discontinuation. Long-term effectiveness was assessed adjusting for differences in follow-up between patients using Kaplan-Meier analysis. Potential risk factors for therapy failure were identified using Cox regression.

Results
In total, 643/1162 (55.3%) CD patients (median follow-up: 8.5 years IQR 5.0–13.2) received first-line thiopurine monotherapy after a median of 9.7 months (IQR 3.2–31.3) after diagnosis. Therapy was discontinued within three months in 164 patients (25.5%), mainly due to adverse events [Figure 1]. Thiopurine monotherapy was effective for the duration of treatment in 229/479 (35.6%) patients, corresponding to estimated effectiveness rates of 62.9%, 43.9% and 31.2% after 1, 5 and 10 years, respectively [Figure 1–2]. No significant difference in effectiveness was observed after stratifying for era of thiopurine initiation (pre-biological (1991–1998) vs. biological (&gt;1999) era, p=0.84). Factors associated with thiopurine failure were stricturing disease (aHR 1.41, 95%CI 1.01–1.96) and upper GI involvement (aHR 1.52, 95%CI 1.02–2.28) at diagnosis. During follow-up, 40/229 patients with a durable response discontinued treatment due to quiescent disease. Of these, 35 patients (87.5%) remained without treatment 24 months after discontinuation.

Conclusion
Real-world data from this population-based study demonstrate that thiopurine monotherapy remains an effective and durable first-line treatment option for CD, even in the biological era. These results should be considered in the ongoing discussion regarding the position of thiopurine therapy.
OP06 5-aminosalicylates are not associated with adverse outcomes in Inflammatory Bowel Disease patients with COVID-19: Analysis from an international registry
Authors: Ungaro R , Brenner E , Agrawal M , Gearry R B , Kaplan G G , Kissous-Hunt M , Ng S C , Rahier J F , Reinisch W , Steinwurz F , Zhang X , Lewis J D , Kappelman M D , Colombel J F 
Published: May 2021

Abstract

Background
Prior data have suggested that 5-aminosalicylates (5-ASA) may be associated with an increased risk of severe COVID-19 among inflammatory bowel disease (IBD) patients. We aimed to evaluate the association of 5-ASA with severe COVID-19 in a large cohort of IBD patients.

Methods
We analyzed data from the Surveillance Epidemiology of Coronavirus Under Research Exclusion for Inflammatory Bowel Disease (SECURE-IBD) registry, a large, international database of IBD patients with confirmed COVID-19. The primary outcome was severe COVID-19, defined as intensive care unit admission, ventilator use, and/or death. Hospitalization due to COVID-19 was a secondary outcome. We performed multivariable regression modeling with a generalized estimating equation accounting for country as a random effect to analyze the association of 5-ASA with severe COVID-19. Models a priori included age, sex, race, disease phenotype (CD or UC/IBD-U), corticosteroid use, azathioprine/6-mercaptopurine use, TNF antagonist use, disease activity by physician global assessment, number of comorbidities, and days from SECURE-IBD inception to reporting. We constructed three models examining 5-ASA use as binary covariate using 1) all patients, 2) only patients on any biologic, and 3) only patients on TNF antagonists.

Results
5,174 patients were included with 212 (4.1%) severe COVID-19 events. At the time of COVID-19 infection, 1,504 patients were taking 5-ASA. 5-ASA patients were older (mean age 44 vs. 38.3 years, p&lt;0.001), more likely to have UC (70.7% vs. 27.7%, p&lt;0.001), less likely to be in remission (49.6% vs. 57.2%, p&lt;0.001), and more likely to have at least one comorbidity (33.6% vs. 26.7%, p&lt;0.001) compared to patients not on 5-ASA. 3,325 patients were on any biologic and 2,216 were on a TNF antagonist. Among all patients, 5-ASA was not associated with severe COVID-19 (adjusted OR [aOR] 1.14, 95% confidence interval [CI] 0.86–1.52) (Table 1). Prior associations of age, comorbidities, TNF antagonists, and corticosteroids with severe COVID-19 were similar to prior analyses (Table 1). In analyses restricting to those on any biologic or only TNF antagonists, there was also no significant association between 5-ASA and severe COVID-19 (aOR 0.76, 95% CI 0.38–1.50 and aOR 0.99, 95% CI 0.43–2.32, respectively). Use of 5-ASA was not associated with risk of COVID-19 related hospitalization in any analysis.

Conclusion
In an analysis of updated data from the SECURE-IBD registry, 5-ASA use was not associated with worse outcomes among IBD patients with COVID-19.