bluuebunny/crossref_metadata_2025_split huggingface dataset:
PROTOTYPE PENGENDALIAN MOTOR UNTUK MENSTABILKAN pH AIR KOLAM IKAN LELE MENGGUNAKAN SENSOR pH DAN ULTRASONIC BERBASIS ARDUINO UNO
Authors: Wibowo Rian Ari , Mochammad Djaohar  , Nur Hanifah Yuninda  
Published: March 2021

Abstract.
The research aimed to design and make motor control device to keep pH of catfish pond water using Arduino Uno pH and ultrasonic sensor. Research using Research and Development (Research and Development) which includes design, system requirement analysis, design, testing and system implementation. Research consists of three main subsystems, namely input, system and output. Sub-system consists of pH sensor, Ultrasonic and Flowmeter to manage the automation process in maintaining water quality in catfish pond contained in Arduino Uno microcontroller. The output subsystems are AC and DC motors for dewatering, filling and checking samples to be displayed on the LCD.
Based on the results of the over all testing that has been done, it is known that the motor control device to maintain the pH of the water catfish pond using pH and ultrasonic sensor based Arduino Uno able to maintain the condition of catfish pond water in the conditions suitable for catfish habitat, that is with pH 6.5 - 8. Keywords: Catfish (Clariasspp), pH Stabilizer, Arduino Uno, pH Sensor, Ultrasonic.
Abstrak
Penelitian bertujuan untuk merancang dan membuat Alat pengendalian motor untuk menjaga pH air kolam ikan lele menggunakan sensor pH dan ultrasonic berbasis Arduino Uno. Penelitian menggunakan Metode Penelitian dan Pengembangan (Research and Development) yang meliputi perancangan, analisis kebutuhan sistem, perancangan, pengujian dan implementasi sistem. Penelitian terdiri dari 3 subsistem utama, yaitu input, sistem dan output.subsistem input terdiri dari sensor pH, Ultrasonic dan Flowmeter untuk mengatur proses otomatisasi dalam menjaga kualitas air pada kolam lele yang terdapat didalam mikrokontroler Arduino Uno. Subsistem outputnya adalah motor AC dan DC untuk melakukan pengurasan, pengisian dan pengecekan sampel yang akan di tampilkan pada LCD.
Berdasarkan hasil pengujian secara keseluruhan yang telah dilakukan, diketahui bahwa alat pengendalian motor untuk menjaga pH air kolam ikan lele menggunakan sensor pH dan ultrasonic berbasis Arduino Uno mampu menjaga kondisi air kolam lele dalam kondisi sesuai bagi habitat lele, yaitu dengan pH 6,5 – 8.
Flow Field Numerical Simulation and Performance Analysis of Progressing Cavity Pump
Authors: Liu Wu , Shu Mingcai , Sun Yongyao , Fan Yuanbo 
Published: March 2021

SummaryProgressing cavity pump (PCP) is the essential booster equipment in oil–gas mixing delivery. Changes in relevant parameters in PCP operations directly affect the working performance and service life of the pump. On the basis of computational fluid dynamics (CFD) in this study, we apply dynamic grid technology to establish a 3D flow field numerical calculation model for the CQ11-2.4J PCP, which is used in the field of the Hounan Operation Area in Changqing oil field, China. The effects of several operating parameters, such as oil viscosity, pump rotation speed, differential pump pressure, and void fraction of oil, on the pressure and the velocity distribution of the PCP flow field are examined. Various performance parameters in the transport of the oil–gas two-phase mixture are used in the analysis, including volumetric flow rate, slippage, shaft power, volumetric efficiency, and system efficiency. The results show that the pressure and speed distribution in the pump chamber of the PCP is relatively homogenous under different working conditions, whereas the pressure and speed exhibited sharp changes at the stator and rotor sealing line and adjacent areas in the pump chamber. Increasing the viscosity of the oil and the speed of the rotor can effectively improve the flow characteristics of the PCP, but extremely high pump rotation speed would cause a decline in system efficiency. Increasing the differential pressure and the void fraction of oil would result in a decrease in the volumetric flow rate and efficiency of the PCP. Considering the variation law of the PCP's performance parameters, the optimal interval for each operating parameter of the PCP is as follows: Oil viscosity at 50–100 mPa·s, pump rotation speed at 200–300 rev/min, differential pressure at 0.2–0.3 MPa, and the void fraction of oil not more than 50%. This research can provide technical support for the optimization of the working conditions of the PCP on site.
Flow-Based Characterization of Digital Rock Images Using Deep Learning
Authors: Alqahtani Naif J. , Chung Traiwit , Wang Ying Da , Armstrong Ryan T. , Swietojanski Pawel , Mostaghimi Peyman 
Published: March 2021

SummaryX-ray imaging of porous media has revolutionized the interpretation of various microscale phenomena in subsurface systems. The volumetric images acquired from this technology, known as digital rocks (DR), make it a suitable candidate for machine learning and computer-vision applications. The current routine DR frameworks involving image processing and modeling are susceptible to user bias and expensive computation requirements, especially for large domains. In comparison, the inference with trained machine-learning models can be significantly cheaper and computationally faster. Here we apply two popular convolutional neural network (ConvNet) architectures [residual network (ResNet) and ResNext] to learn the geometry of the pore space in 3D porous media images in a supervised learning scheme for flow-based characterization. The virtual permeability of the images to train the models is computed through a numerical simulation solver. Multiple ResNet variants are then trained to predict the continuous permeability value (regression). Our findings demonstrate the suitability of such networks to characterize volume images without having to resort to further ad-hoc and complex model adjustments. We show that training with richer representation of pore space improves the overall performance. We also compare the performance of the models statistically based on multiple metrics to assess the accuracy of the regression. The model inference of permeability from an unseen sandstone sample is executed on a standard workstation in less than 120 ms/sample and shows a score of 0.87 using explained variance score (EVS) metric, a mean absolute error (MAE) of 0.040 darcies, and 18.9% relative error in predicting the value of permeability compared to values acquired through simulation. Similar metrics are obtained when training with carbonate rock images. The training wall time and hyperparameters setting of the model are discussed. The findings of this study demonstrate the significant potential of machine learning for accurate DR analysis and rock typing while leveraging automation and scalability.
Compact slot based triangular multiband microstrip patch antenna for C and X band applications
Authors: C BALAMURUGAN , P Marichamy 
Published: March 2021

Abstract
Modern portable communication devices require a compact antenna with superior performance and lower weight and size. The design and development of such a compact size antenna is a major challenge for the researchers. In this proposed work compact slot based triangular patch antenna to work at the multiple resonance frequencies from 5 GHz to 10 GHz using FR4 substrate is presented. Proposed antenna is simulated using High Frequency Structural Simulator (HFSS 2020R1). Simulated and fabricated antenna test results shows that proposed antenna can be suitably employed for the portable wireless transceivers in C and X band. Proposed slot based triangular patch antenna achieves the peak gain of 8 dBi and has the good impedance matching properties such that return loss S11is less than -10 dB and VSWR value is very closer to 1 at all the resonance frequencies.
On the Observations and Environmental Modeling in Xingó Hydropower Plant – São Francisco Basin, Brazil: Present and Future Hydroclimatic Features
Authors: Luiz-Silva Wanderson , Maceira Maria Elvira Piñeiro , Rotunno-Filho Otto Corrêa , Chou Sin Chan 
Published: March 2021

Abstract
The São Francisco river basin plays a critical role in the hydroelectrical operational planning of Brazil. Understanding the hydroclimatic dynamic regime and, consequently, related climate changes is essential for decision-makers of the hydroelectrical sector. In this context, this work takes the Xingó hydropower plant and its drainage area as a reference for climatic and hydrological analyzes. Observed rainfall in the drainage basin and streamflow measurements in the power plant between 1975 and 2016 are used to assess the climatology of the region and to identify trends in the time series. In addition, a methodological framework based on numerical modeling of the hydroclimatic variables is employed to examine the representation of the present climate (1961 to 1990) and to investigate the future projections (2011 to 2100). The SMAP rainfall-runoff model and the Eta regional climate model nested within two global models are adopted in this investigation under the RCP4.5 and RCP8.5 IPCC scenarios. In Xingó, the average annual precipitation is about 978 mm and the average annual streamflow is 2,534 m³.s− 1. This region is marked by the monsoon cycle, with a clear rainy (October to March) and dry (April to September) period. There is no trend regarding precipitation, while the streamflow time series show a statistically significant decreasing trend in the present climate. Climate projections point to reduction in rainfall and streamflow during the 21st century. The results showed in this work revealed to be crucial to better understand the energy security for Xingó in the present and future climates.
An Improved Multi-Objective Workflow Scheduling Using NSPSO With Fuzzy Rules
Authors: PRATHIBHA SOMA , Latha B. , Vijaykumar V. 
Published: March 2021

Abstract
Lot of scientific problems in various domains from modelling sky as mosaics to understand Genome sequencing in biological applications are modelled as workflows with large number of interconnected tasks. Particle Swarm Optimization (PSO) based metaheuristics are currently used to address many optimization problems as they are simple to implement and able to produce quickly optimal or sub-optimal solutions based on learning capabilities. Even though many works are cited in the literature on workflow scheduling, most of the existing works are focused on reducing the makespan alone. Moreover, energy efficiency is considered only in few works included in the literature. Constraints about the dynamic workload allocation are not introduced in the existing systems. Moreover, the optimization techniques used in the existing systems have improved the QoS with little scalability in the cloud environment since they consider only the infrastructure as the service model.In this work a new algorithm has been proposed based on the proposal of a new Multi-Objective Optimization model called F-NSPSO using NSPSO Meta-Heuristic s. This method allows the user to choose a suitable configuration dynamically. An average of above 15% in the energy reduction for the proposed system over simple DVFS was achieved for all types of workflow applications with different dimensions. Similarly when compared to NSPSO an energy reduction of at least 10% has been observed for F-NSPSO for all three types of workflow applications. Compared to NSPSO algorithm F-NSPSO algorithm shows at least 13%, 12% and 21% improvement in average makespan for Montage, Cybershake and Epigenomics workflow applications respectively.
Study of Decoupling between Closely Spaced Microstrip MIMO antennas using Microstrip Resonator
Authors: Bhattacharjee Swati , Ghosh Chandan Kumar 
Published: March 2021

Abstract
This paper presents a novel decoupling technique between two closely spaced MIMO antennas whose edge to edge spacing is0.03λ (1.975mm).A microstrip resonator is used in between the antennas that act as a decoupled device. The MIMO plays an important role in the current communication system due to its enhanced data transferring rate. However, the closely spaced MIMO antennas have a major disadvantage of high mutual coupling (MC). MC affects the entire characteristics of MIMO antennas and as a result, the performance of the antenna degrades. To overcome this problem, we have introduced a microstrip resonator that acts as an electrical wall between the MIMO antennas. The antenna has been simulated by using an IE3D EM simulator and a suppression of 48dB MC is achieved at a resonant frequency of 4.85 GHz. The MIMO antennas have been fabricated and the results are compared with the simulated ones. This antenna can be used in wireless communication, WLAN and satellite communication.
Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns
Authors: Haghighi Babak , Gefter Warren B. , Pantalone Lauren , Kontos Despina , Barbosa Eduardo J. Mortani 
Published: March 2021

Abstract
Objectives

To utilize high-resolution quantitative CT (QCT) imaging features for prediction of diagnosis and prognosis in fibrosing interstitial lung diseases (ILD).
Methods

40 ILD patients (20 usual interstitial pneumonia (UIP), 20 non-UIP pattern ILD) were classified by expert consensus of 2 radiologists and followed for 7 years. Clinical variables were recorded. Following segmentation of the lung field, a total of 26 texture features were extracted using a lattice-based approach (TM model). The TM model was compared with previously histogram-based model (HM) for their abilities to classify UIP vs non-UIP. For prognostic assessment, survival analysis was performed comparing the expert diagnostic labels versus TM metrics.
Results

In the classification analysis, the TM model outperformed the HM method with AUC of 0.70. While survival curves of UIP vs non-UIP expert labels in Cox regression analysis were not statistically different, TM QCT features allowed statistically significant partition of the cohort.
Conclusion

TM model outperformed HM model in distinguishing UIP from non-UIP patterns. Most importantly, TM allows for partitioning of the cohort into distinct survival groups, whereas expert UIP vs non-UIP labeling does not. QCT TM models may improve diagnosis of ILD and offer more accurate prognostication, better guiding patient management.
An Efficient Dynamic Load Balancing Mechanism for Cloud Computing Environment
Authors: P. Rajagopal T. K. , M. Venkatesan 
Published: March 2021

Abstract
Cloud computing environment provides the information technology service and resources using in the Internet. It offers a variety of services such as IAAS (infrastructure as a service), SAAS (software as a service) and PAAS (platform as a service). The scenario of cloud computing environment mainly refers to both the cloud environment service provider and the cloud environment service user. Cloud environment service provider provides cloud environment resources and services to the cloud environment service provider. The cloud environment service provider should use its resources efficiently to make a profit, but the cloud environment challenging task for them is to maximize cloud environment resources. This article describes the energy saving approach by optimizing the use of hosts and minimizing the active host using migration techniques.
Life Sentence: Mollusc Prisoner in Cretaceous Brachiopod Reconstructed in 3D. First Evidence for the Co-Existence of A Mollusc Inside a Living Animal
Authors: Bujtor László , Andrey Philippe 
Published: March 2021

Abstract
A tiny shell (7 mm length) of a juvenile Mollusc (supposed gastropod) was discovered enclosed within the packstone filled shell of a terebratellidine brachiopod (Zittelina hofmanni Bujtor and Vörös, 2020) from the Lower Cretaceous Apátvarasd Limestone Formation of Zengővárkony (Mecsek Mountains, South Hungary). Serial sectioning of the brachiopod shell revealed that in addition to the brachidium, a different and unusual shelly structure was preserved inside the brachiopod shell. 2D serial sections were digitalized and fed into Free-D imaging software to generate a 3D reconstruction of the entombed fossil, which is supposed a juvenile gastropod. Consideration of the emplacement, dimensions, and orientation of the shell suggests that it entered the cavity of the living brachiopod shell as an egg or larva and was trapped. Further analysis of both fossils suggests that the two animals lived and developed beside each other for a longer period: the brachiopod crus is less developed and slightly deformed on the gastropod side with the gastropod placed parallel to the crura and the lateral wall of the brachiopod. This example suggests that shells of brachiopods may have provided sheltered microhabitats for benthic micro- and macrofossils not only after the death but even during the life of the host brachiopod. This is the first evidence from the fossil record for the co-existence of a living Mollusc inside the shell of a living brachiopod. This work illustrates how general purpose 3D modelling software initially developed in other disciplines may provide new insights in the wide field of geosciences.
Hydrogeochemical evolution and groundwater quality assessment using chemical systematics, statistical techniques, and pollution index of groundwater (PIG): a case study
Authors: Kamaunji Vandi Dlama , Ishaku Jackson Makpane , Kamaunji Dlama Zira , Kwami Ibrahim Abdulkarim 
Published: March 2021

Abstract
Herein, we investigate the hydrogeochemical processes influencing the chemistry and suitability of groundwater for drinking in Mubi south area, north-eastern Nigeria based on physicochemical results of water samples collected from 30 boreholes in the area. The cations and anions distribution in the samples are in the order Mg2+ > K+ > Na+ and HCO3− > NO3− > Cl− > SO42− > CO32− respectively. The low turbidity (0.02–4.86 NTU) and neutral–mildly alkaline nature (pH = 6.65–8.70) of the groundwater indicate high clarity, low level of cloudiness, high CO2 abundance and dissolve ions in form of HCO3−. Hydrogeochemical (e.g., Piper, Durov, bi-variant and scatter plots) and statistical (PCA and HCA) evidences highlight the biogeochemical hydrolysis (i.e. silicate weathering) of silicate minerals (such as K-feldspars, pyroxenes, amphiboles) as the major process controlling the groundwater chemistry. The dominance of Ca2+–Mg2+–HCO3− water type, coupled with the strong positive correlation between EC and K+ (r = 0.75), and the strong positive loading of Ca+ (0.74) are robust evidences for the silicate weathering process. However, the elevated Cl− concentrations (15–206 mg/l), and the insignificant variation of Na+/Cl− ratio with increasing EC as well as the high positive loadings of EC and TDS imply other secondary processes (e.g., evaporate salts and anthropogenic pollution) were also involved in the hydrogeochemical evolution. The pollution index of groundwater (PIG = 0.27–0.737) fall below the insignificant pollution state of less than 1, diagnostic of good water quality for drinking purpose and sustainability of public health.
Staff Experiences at a New York City Medical Center During the Spring Peak of the Covid-19 Pandemic: A Qualitative Study
Authors: Blackler Liz , Scharf Amy E. , Masciale James N. , Lynch Kathleen A. , Riches Jamie C. , Matsoukas Konstantina , Colletti Michelle , Wall Lisa , Chawla Sanjay , Coyle Nessa , Alici Yesne , Guest Rebecca , Voigt Louis P. 
Published: March 2021

Abstract
Purpose: In March-April 2020, New York City was overwhelmed by COVID-19 infections, leading to substantial disruptions in nearly all aspects of care and operations at most local hospitals. This qualitative study of a quaternary, urban oncology hospital investigated the effects of these disruptions upon a professionally diverse cohort of its employees, including physicians, nurses, respiratory therapists, pharmacists, security guards, histology technicians, and environmental services workers. Methods: The participant pool were selected through a combination of purposive and random sampling methodology and coders performed a thematic content analysis of open-ended responses. Results: Analysis revealed several important themes, including concerns about exposure for self and others; patient care as a source of both satisfaction and stress; psychological consequences of uncertainty and ambiguity; family as sources of both comfort and apprehension; the importance of adequate institutional communication; and support from colleagues. Conclusion: Results and analysis provide suggestions for institutional policies and initiatives in the event of a COVID-19 surge or another public health crisis. Administrative efforts should aspire to establish, strengthen, and promote interdisciplinary and interdepartmental efforts to address, and mitigate workplace and personal stressors. through timely and transparent communications, consistent clinical guidance and information about changes in hospital policies and supplemental employee assistance.
Is spiritual well-being related to survival time of inpatients with advanced cancer? An East Asian cohort study
Authors: Hiratsuka Yusuke , Suh Sang-Yeon , Won Seon Hye , Choi Sung Eun , Kim Sun Hyun , Cheng Shao Yi , Chen Ping Jen , Yoon Seok Joon , Koh Su Jin , Park Shin Ae , Seo Ji Yeon , Hui David , Yamaguchi Takashi , Morita Tatusya , Tsuneto Satoru , Mori Masanori , Inoue Akira 
Published: March 2021

Abstract
Purpose: It has been suggested that psychosocial factors are related to survival time in patients with cancer. However, there is no cross-cultural study examining the relationship between spiritual well-being (SWB) and survival time among countries. This study investigated the relationship between SWB and survival time among three East Asian countries. Methods: This international multicenter cohort study is a secondary analysis involving newly admitted inpatients with advanced cancer in palliative care units in Japan, South Korea and Taiwan. SWB was measured at admission. We performed multivariate analysis using the Cox proportional hazards model to identify independent prognostic factors. Results: A total of 2638 patients treated at 37 palliative care units from January 2017 to September 2018 were analyzed. The median survival time was 18.0 days (95% confidence interval [CI] 16.5 to 19.5) in Japan, 23.0 days (95% CI 19.9 to 26.1) in Korea and 15.0 days (95% CI 13.0 to 17.0) in Taiwan. Four variables were significant in Japan, Korea and Taiwan. SWB was a significant factor correlated with survival in Taiwan (hazard ratio [HR] 1.27; 95% CI 1.01 to 1.59; p = 0.04), while it was insignificant in Japan (HR 1.10; 95% CI 1.00 to 1.22; p = 0.06), and Korea (HR 1.02; 95% CI 0.77 to 1.35; p = 0.89). Conclusion: SWB of patients with advanced cancer was related to survival time in Taiwan but not in Japan or Korea. The findings suggest that spiritual care may contribute to prolonged survival in patients with far advanced cancer.