bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automatic controlling system and IoT based monitoring for pH rate on the aquaponics system
Authors: Defa R P , Ramdhani M , Priramadhi R A , Aprillia B S 
Published: November 2019

Abstract
Aquaponics is an opportunity for cultivating plants and fish. Plants use nutrients from fish feces and the fishes use clean water after being filtered by plant roots. The results of fish metabolism, food residue, and temperature change will affect the pH rate. An automatic control system and monitoring pH rate on aquaponics system is designed to maintain the pH rate within a certain range. The method used is a literature study to find the basic theory in designing a control system and monitoring water pH levels. Afterward, it’s necessary to find out the arising problems. The next step to do is designing the system, starting from flow diagrams to system design. The last step to do is simulating the tools that have been designed and then testing the system. Based on the results, it can be concluded that the system could maintain the water condition automatically in pH range from 6.3 to 7.7. The average error found in this sensor was 0.67%, the average decrease in water pH level was 0.023 per day, and the controlling interval was every 42 seconds, the success rate of sending monitoring data was 100% in which the data was sent every 1 minute in 1 hour.
Land cover classification using Grey Level Co-occurrence Matrix and Naive Bayes
Authors: Sa’idah Sofia , Caecar Pratiwi Nor Kumalasari , Aprilia Bandiyah Sri , Magdalena Rita , Fu’adah Yunendah Nur 
Published: November 2019

Abstract
Land cover data is important information to describe how much of a region is covered by plantation, forest, residential, rice field and river. In many applications the required information relates to the coverage of land cover class in a region, which is generally derived from a count of the pixels allocated to the class of interest in a classification. The design of the system in this study conducted for detecting land cover using Grey Level Co Occurrence (GLCM) method is used as the extraction in process of taking main image and Naive Bayes as a classification of grouping the images based on the types of land cover. Based on the testing data which is consist of 150 images we obtained the best accuracy is 85% with 206.6715 seconds computation time.
SEPIC converter with coupled inductor using Fuzzy Logic controller to optimized battery charging process
Authors: Murdianto Farid Dwi , Nansur Ainur Rofiq , Septiarini Nur Ardha , Widarsono Kukuh , Purwanto Era 
Published: November 2019

Abstract
Population of human is growth up but fossil energy as main fuel for generate electricity sources become less and less, so it’s needed renewable energy such as solar energy is suitable in Indonesia’s climate. Solar energy as a source of electrical energy can be done using photovoltaic. Photovoltaic can be used directly or indirectly. Result energy from indirectly photovoltaic is stored first in the battery. On the other hand, output voltage of photovoltaic is not stable, if used for charging a battery, it will not reach the set point charging. To stabilize the output voltage of a photovoltaic can use converter such as SEPIC Converter with Coupled Inductor. Simulation the SEPIC Converter with coupled inductor as a Battery Charger using Fuzzy Logic Control can stabilize the output voltage so that the battery charging runs well. Fuzzy logic control is used to control the generation of PWM to produce a constant output voltage.
Design and development of a monitoring and controlling system for multi-intravenous infusion
Authors: Cahyanurani Antika , Hadiyoso Sugondo , Aulia Suci , Faqih Muhammad 
Published: November 2019

Abstract
Recently, many of conventional infusion control tools which has functions to control the drops of infusion fluid and to monitor the volume of infusion fluid. Because it work manually, it has low level of accuracy and low efficiency. So that, in this research has designed a device that could monitor and control the drops of infusion fluid for multipoint (multi intravenous) through online application. On hardware part, photodiode and LED was used to detect the drops of infusion fluid, a sliding potentiometer and simple modified spring was used to detect the volume of infusion fluid. In this research was also implemented a mechanical which use motor servo to set the speed of drops of infusion fluid. WEMOS and MCU node has been designed as main control to controlling the whole of system. The device was equipped with ESP8266 as interface to internet network. An administrator can monitoring and controlling the system through offline or real time through a website application that has been built. based on the testing result, as functionality the system was working well. The device could detect the drops of infusion fluid with 100 % of accuracy and could control the volume of infusion fluid with 99 % of accuracy. Total of maximum drops per minute that could detected by system was 135 DPMs with average of transferring delay was 1.95 second.
FPGA-based led intensity controller for power consumption efficiency in motorcycle
Authors: Hadiyoso Sugondo , Ramdani Ahmad Zaky , Wijayanto Inung , Rizal Achmad 
Published: November 2019

Abstract
Improper beam patterns on vehicle lights have major implications for the level of driving safety. This beam pattern control technique has been developed to improve driving safety. Most of them use additional components that increase power costs. In LED-based light sources, the design of LED arrays can increase the level of lighting and expand the transmission area. A large transmitting area is needed, but in a turn of the road, conditions are only needed based on the direction of the vehicle. Therefore, in this study, a system was designed to regulate LED beam patterns based on the direction of the vehicle. The main objective is to reduce power consumption so that it is more environmentally friendly and supports green technology programs. The control process was done by adding control components that work based on the direction of the vehicle that is read by the direction sensor. The digital control algorithm was implemented on the Altera DE-0 Nano FPGA with controls using fuzzy logic. The memory resources needed for implementing this system are 145 logic in the form of the loop up tables and 102 registers with a total power of 2 mW. This control module is able to provide a better focus of lighting and power efficiency up to 53% compared to a system without control.
An attempt to adopt DevOps on embedded system development: empirical evidence
Authors: Wijaya Purnama Eka , Rosyadi Imron , Taryana Acep 
Published: November 2019

Abstract
DevOps is a method that integrates and narrows two environments in software development process, developer side and operational side. DevOps becomes a solution that can be offered to improve SDLC (System Development Life Cycle) in current embedded system development process. This paper provides a concept and its implementation to prove that DevOps adoption on embedded system architecture is possible. After doing the research, we found out that it is possible to adopt DevOps on embedded system development, we also provide empirical evidence and analyze the weaknesses about the concept designed.
Low pressure supercritical carbon dioxide warm pasteurization to inactivate muscle protease and lipase of nile tilapia with emphasis on its fillet textural properties
Authors: Sugiharto Sugeng P , Bintoro Nursigit , Karyadi Joko N W , Pranoto Yudi 
Published: November 2019

Abstract
Supercritical carbon dioxide warm pasteurization was applied to reduce the activity of muscle protease and lipase of nile tilapia. Combination between 75 bar and 80 bar with 40°C as well as 80 bar with 50°C were applied on tilapia fillet. Exposure time was set from 10 min to 25 min with an interval of 5 min. It was found that supercritical carbon dioxide have greater effect on muscle protease with lesser effect on muscle lipase. Increasing temperature at 80 bar was slightly increase inactivation rate of muscle enzymes, with the cost of severe degradation on fillet textural quality. The product of this warm pasteurization however, was aimed to be stored under chilled storage and not for direct human consumption without further processing.
Analysis of workload and long rest periods on mobile rice grain milling operator at Sidolelono Pleret Community Bantul
Authors: Anggraini Y D , Mulyati G T , Ainuri M 
Published: November 2019

Abstract
Noise and vibration are the hallmarks of mobile rice grain milling. The difference in working time between operators, the number of grains milled in one day, and looking for customers activity can be a factors that affect the operator’s workload. This study aims to determine the workload experienced, identify the factors that affects the workload, and determine the long rest periods required by the mobile rice grain milling operator. The workload experienced by operators measured by the cardiovascular load (CVL), the level of caloric needs, and NASA-TLX questionnaire. Factors considered in determining operator workload are age, body mass index (BMI), body temperature, noise, ambient temperature, humidity, and vibration. The long rest periods are calculated based on the operator’s heart rate converted into energy consumption. Based on CVL, operators experience no fatigue while from the level of caloric needs and mental workload, operators experience a moderate workload. The partial t-test for one operator group indicates that there is an effect of BMI and ambient temperature on the level of caloric needs. The regression test for two operators group showed that body temperature had an effect of 63,9% on CVL. The long rest periods applied by the operator is sufficient.
Effect of Cold Formed Steel Column Arranged by Section C-81, C-75, and TH-35 on Compression Load
Authors: Setyo Hermanto Nor Intang , Maryoto Agus 
Published: November 2019

Abstract
To reduce the possibility of local buckling of Cold formed steel structural components under compression, especially in column structures, it is necessary to use an arranged by some sections of Cold formed steel. The arranged some sections of Cold formed steel carries a higher load than a single section. This study aims to determine the effect of cold formed steel column that composed of a combination some sections of C-81, C-75, and TH-35 against compression load. There are two variations of the test specimen for column element, which are specimen type 1 in the form of C75 and TH-35, and specimen type 2 in the form of C-81 and C-75. The testing is conducted by applying pressure force on columns with lengths of 400, 600 and 800 mm. The results of specimen type 1 showed that the average actual critical load of column with lengths 400 mm, 600 mm and 800 mm are 51.47 kN, 75 kN, 78.5 kN. Meanwhile for specimen type 2 are 101.37 kN, 66.47 kN, and 85.60 kN. The column arranged by cold formed steel specimen type 2 has better compressive strength than specimen type 1.
Seismic performance of the inpatient building of Goeteng Hospital, Purbalingga, Indonesia
Authors: Widyaningrum A , Haryanto Y , Sudibyo G H , Hermanto N I S 
Published: November 2019

Abstract
The inpatient building of Goeteng Hospital, Purbalingga, Indonesia, which was built in 2012, is a building with risk category IV. Due to the irregular configuration of the structure, this building has considerable earthquake vulnerability. This study aims to evaluate the symmetrical performance of the Goeteng Hospital inpatient building using pushover analysis. The results of the study show that the basic shear force received by the inpatient building of Goeteng Hospital is equal to 10064.421 and 5655.626 kN in the X and Y directions, respectively. The structure deviation ratio that occurs below 1% is 0.17% for the X direction and 0.24% for the Y direction. Thus, the seismic performance of the Goeteng Hospital inpatient building is categorized as immediate occupancy, where it is predicted that there is no damage, meaning that its structure, strength, and stiffness are about the same as the conditions before the earthquake. Non-structural components are still in place and most are still functioning if the utility is available. The building can still function without the need for repair work.
Prototype weather station uses LoRa wireless connectivity infrastructure
Authors: Murdyantoro Eko , Setiawan Ridlo , Rosyadi Imron , Nugraha Azis WW , Susilawati Hesti , Ramadhani Yogi 
Published: November 2019

Abstract
This study develops a prototype of a weather station with LoRa wireless infrastructure. LoRa is a wireless connectivity technology supporting the internet of things (IoT) system. This technology is an alternative to other wireless connectivity modules that have already been popular such as GSM modules, Wifi Modules and Bluetooth (BLE). The use of the LoRa network serves to increase the range of wireless cells that can reach distances of up to 5 kilometers while still having low power consumption. One LoRa network cell can connect end devices to hundreds of nodes. Weather parameters measured include temperature, humidity, air pressure, rain detection, and wind speed. The prototype consists of Arduino UNO, DHT11 sensor, raindrop sensor, anemometer sensor, BMP180 sensor, LoRa shield, LoRa Gateway, and ThingSpeak web application. While the number of end device nodes built is 3 nodes in one cell. As a result, the system can function properly. This system has the potential to be implemented in urban and rural areas with various types of sensors connected. Between cells can be managed to form a Low Power-Wide Area Network as a wider sensor network.
Technology supporting health services for rural areas based on image processing
Authors: Supriyanti Retno 
Published: November 2019

Abstract
Limited health facilities, both medical equipment and health workers in developing countries and other rural areas in the world, bring significant problems for public health services. In order to make a correct diagnosis, it is necessary to support accurate data from health equipment that should be available at the health care centre. On the other hand, the development of technology, especially in the field of digital image processing is quite rapid. This paper discusses the application of digital image processing in solving problems concerning the limitations of health care facilities. In this paper, we will discuss the application of digital image processing in cataract screening, image quality improvement of ultrasonography, identification of leukocyte cells, and identification of ventricular areas and the hippocampus of magnetic resonance imaging images. The results show that the implementation of digital image processing techniques can help overcome some of the problems that arise due to the limitations of these health facilities.
Announced but Not Enacted: Anti-Racist German Studies as Process
Authors: Bryant Andrea Dawn , Neuman Nichole M , Gramling David , Malakaj Ervin 
Published: November 2019

Abstract
In their February 2019 Forum piece in Applied Linguistics, Bhattacharya et al. (2019) present longitudinal evidence that the American Association for Applied Linguistics (AAAL) still struggles to realize core principles of diversity and advocacy despite the passing of its 2013 resolution ‘Affirming Commitment to Promoting Diversity’ (AAAL 2013). They outline several trends in the available institutional data confirming that inequitable practices continue to hinder Scholars of Color from achieving full recognition within AAAL and, more broadly, the international, interdisciplinary field of applied linguistics. Echoing the work of Bhattacharya et al. in this regard, we reflect on parallel concerns in one of the component disciplinary realms of Applied Linguistics, namely the teaching of German language and culture (sometimes referred to as German Studies).
ProAffiMuSeq: sequence-based method to predict the binding free energy change of protein–protein complexes upon mutation using functional classification
Authors: Jemimah Sherlyn , Sekijima Masakazu , Gromiha M Michael 
Published: November 2019

Abstract

Motivation
Protein–protein interactions are essential for the cell and mediate various functions. However, mutations can disrupt these interactions and may cause diseases. Currently available computational methods require a complex structure as input for predicting the change in binding affinity. Further, they have not included the functional class information for the protein–protein complex. To address this, we have developed a method, ProAffiMuSeq, which predicts the change in binding free energy using sequence-based features and functional class.

Results
Our method shows an average correlation between predicted and experimentally determined ΔΔG of 0.73 and mean absolute error (MAE) of 0.86 kcal/mol in 10-fold cross-validation and correlation of 0.75 with MAE of 0.94 kcal/mol in the test dataset. ProAffiMuSeq was also tested on an external validation set and showed results comparable to structure-based methods. Our method can be used for large-scale analysis of disease-causing mutations in protein–protein complexes without structural information.

Availability and implementation
Users can access the method at https://web.iitm.ac.in/bioinfo2/proaffimuseq/.

Supplementary information
Supplementary data are available at Bioinformatics online.
Reproductive systems and post-pollination barriers between two closely related eu-bromelioids (Bromeliaceae) in the Atlantic Forest of Brazil
Authors: Cavalcante Brayan Paiva , Souza Everton Hilo De , Williams Joseph Hill , Versieux Leonardo M 
Published: November 2019

Abstract
The eu-bromelioid clade provides a classic example of an exceptionally rapid radiation, in which many closely related species are found in sympatry. In this respect, species cohesion may be due to the rapid evolution of strong reproductive barriers, although interspecific and intergeneric hybridization is observed in the family. The objective of this study was to characterize the breeding systems and post-pollination reproductive barriers in Wittmackia patentissima and Hohenbergia ridleyi. Previously included in Aechmea, they show an almost complete absence of pre-pollination barriers, although their recent divergence may not have allowed time for complete ecological/reproductive isolation to have evolved. In manual pollinations, both species had &gt; 40% fruit set in self and outcross treatments, but seed set from manual self-pollinations was &lt; 50% that of outcrosses, and spontaneous self-pollination produced fewer than three seeds per fruit. Self-pollen and pollen tubes showed no evidence of self-incompatibility, but heterospecific pollen tubes were arrested in the lower part of the style and heterospecific seed set was zero in both species. The combination of self-compatibility and strong post-pollination, pre-fertilization reproductive barriers is consistent with the involvement of breeding system reproductive barriers in allowing closely related bromeliad species to occur in sympatry.
Selective and Sensitive Chromatographic Methods for Determination of a Co-Formulated Binary Mixture in Antibacterial Eye Drops and Aqueous Humor in the Presence of Their Degradation Products and Potential Impurities
Authors: Hegazy Maha A , Abdelwahab May H , Hendawy Hassan A M , Weshahy Soheir A , Abbas Samah S 
Published: November 2019

Abstract
Prednisolone acetate (PDN) is a corticosteroid anti-inflammatory liable to degradation under different conditions and used with antibiotics in eye drops. Two selective stability-indicating separation techniques were developed for simultaneous determination of PDN and moxifloxacin HCl (MXF) binary mixture in pure forms, ophthalmic formulation, in the presence of PDN impurities and in the presence of their degradation products. The first method was based on HPTLC separation using silica gel 60 F254 HPTLC plates, and a developing system of toluene: ethyl acetate: methanol: ammonia (5.0: 6: 2.0: 0.05, v/v/v/v) is used with detection at 254 nm. The second method was HPLC using a mobile phase of acetonitrile: methanol: deionized water, pH 2.8 (25.0: 35.0: 40.0, v/v/v), at 254 nm. A kinetic study utilizing the developed HPLC method for PDN degradation under different stress conditions was performed. Furthermore, the method was applied for determination in rabbit aqueous humor. Validation was conducted as per ICH guidelines, and system suitability was ascertained. The calibration curves were constructed in the range 0.10–25.00 and 0.20–50.00 μg band−1, for PDN and MXF by HPTLC, while for HPLC, it was 0.02–50.00 and 0.10–50.00 μg mL−1 for both drugs, in order.
The impact of environmental acidification on the microstructure and mechanical integrity of marine invertebrate skeletons
Authors: Byrne Maria , Fitzer Susan 
Published: November 2019

Abstract
Ocean acidification (OA), from seawater uptake of anthropogenic CO2, has a suite of negative effects on the ability of marine invertebrates to produce and maintain their skeletons. Increased organism pCO2 causes hypercapnia, an energetically costly physiological stress. OA alters seawater carbonate chemistry, limiting the carbonate available to form the calcium carbonate (CaCO3) minerals used to build skeletons. The reduced saturation state of CaCO3 also causes corrosion of CaCO3 structures. Global change is also accelerating coastal acidification driven by land-run off (e.g. acid soil leachates, tannic acid). Building and maintaining marine biomaterials in the face of changing climate will depend on the balance between calcification and dissolution. Overall, in response to environmental acidification, many calcifiers produce less biomineral and so have smaller body size. Studies of skeleton development in echinoderms and molluscs across life stages show the stunting effect of OA. For corals, linear extension may be maintained, but at the expense of less dense biomineral. Conventional metrics used to quantify growth and calcification need to be augmented by characterisation of the changes to biomineral structure and mechanical integrity caused by environmental acidification. Scanning electron microscopy and microcomputed tomography of corals, tube worms and sea urchins exposed to experimental (laboratory) and natural (vents, coastal run off) acidification show a less dense biomineral with greater porosity and a larger void space. For bivalves, CaCO3 crystal deposition is more chaotic in response to both ocean and coastal acidification. Biomechanics tests reveal that these changes result in weaker, more fragile skeletons, compromising their vital protective roles. Vulnerabilities differ among taxa and depend on acidification level. Climate warming has the potential to ameliorate some of the negative effects of acidification but may also make matters worse. The integrative morphology-ecomechanics approach is key to understanding how marine biominerals will perform in the face of changing climate.