bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of proximate composition, antioxidant activity and sensory evaluation of cooked rice with addition of cherry (Muntingia calabura) leaf extract.
Authors: Bait Yoyanda , Marseno Djagal Wiseso , Santoso Umar , Marsono Yustinus 
Published: July 2021

Abstract
The aim of this study is to analysis the composition of proximate, antioxidant activity and sensory test of rice cooked from rice that has been added with cherry leaf extract. The ingredients used are rice without addition (NF0) and that has been added cherry leaf extract with a concentration of 20% (NF20). Rice is added water in a ratio of 1:2, then cook using a rice cooker until cooked through. Parameters tested in this study are proximate composition, total phenolics, total flavonoids, antioxidant activity, and sensory tests (color, taste, aroma, texture, overall). Proximate composition of the cooked rice showed the presence of quantities of total ash (0.27 – 0.24%), carbohydrate (83.15 – 82.72%), protein (8.05% - 8.16%) and fat (0.43-0.46%). This result showed that NF20 have high quantities on protein and fat than NF0. Phenolic, flavonoid and antioxidant levels of NF20 were higher than NF0 (66.79 mg GAE/g extract; 38.10 mg Quersetin/g extract; 87.16%). Sensory evaluation results of color, aroma, and taste showed that NF20 and NF0, are in the “neutral” range.
Study of rice seed certification at the Gorontalo Province seed certification supervision center
Authors: Indrianti Merita Ayu , Hala Jefri , Mokoginta Meity Melani , Ervandi Mohamad , Fahrullah  
Published: July 2021

Abstract
This research aimed to determine the management system of rice seed certification in the Seed Certification Office at Gorontalo Province and determine the obstacles of the system. This research was conducted at Gorontalo Seed Center. The research applied survey design. There were 4 informants in this research. The procedures of rice seed certification system at the seed certification office are as follow: applications for food crop certification, verification of seed source, inspection of field, plant isolation and harvest equipment, seed sampling and quality testing, labelling and issuance seeds contains high level of water and low physical quality, it can be reprocessed to be re-sampled. If it does not pass seed germination test, then the existing samples can be retested without taking samples in the field.
Effect of Heterogeneity of Reservoir Properties on Sandstone Formations in Oil Recovery
Authors: Samsol  , Rahmawan Sigit , Ridaliani Onnie 
Published: July 2021

Abstract
The case study for this research is an oil field with sandstone formations. The background of this problem is that many oil fields in Indonesia have been operating for a long time. The method used to analysis heterogeneity and its effect on oil recovery was carried out by using Dykstra Parson[1] analysis, analysis of porosity and permeability data distribution, analysis of the calculation of the mobility ratio[2][3]. Furthermore, it can be calculated the efficiency of oil sweeping[4][2]. Based on the Dykstra Parson analysis, the value obtained is 0.93 and the mobility ratio is more than 1. The next method is to determine the efficiency of mobility (sweep efficiency) which is associated with the average standard deviation of the values of porosity and permeability. The mobility efficiency value of this field is 47.12%. From the relationship between the value of mobility efficiency to the standard deviation of porosity and permeability, it shows that the greater the standard deviation value, the smaller the oil sweeping gain. Finally, this research aims to know the heterogeneity of the rocks to obtain predictions of oil recovery.
Allicin Chemical Stability Test in the Phytosome of Garlic Extract (Allium sativum L)
Authors: Elfiyani Rahmah , Amalia Anisa , Chenia Adesi 
Published: July 2021

Abstract
Allicin contained in garlic extract is unstable at high temperatures. Meanwhile, this compound has the potential to be widely used as an antidiabetic. One way to optimize the use of allicin is by using a phytosome delivery system that can protect allicin so that it does not degradation easily. The purpose of this study was to determine the storage temperature which indicates the slow rate of degradation of allicin in the phytosomes of garlic extract (PGE). PGE were stored for 8 weeks at 4°C, 25°C and 40°C. Allicin content were measured every 2 weeks using a UV-Vis spectrophotometer. The results of the degradation rate of allicin in PGE at temperatures of 40C; 250C; 400C were 0.0191; 0.0185; 0.0212, respectively. Based on these results, it can be concluded that the storage temperature of 250C showed the degradation rate of allicin in the PGE is slower than the other storage temperatures.
Spatial Analysis of Rainfall Return Period and Probable Maximum Precipitation over Central Java - Indonesia
Authors: Sekaranom Andung Bayu , Fianggoro Muhammad , Wicaksono Rinut Manuhana 
Published: July 2021

Abstract
Most of the lowlands and coastal area in Indonesia are highly affected by flood hazards, particularly Central Java Area. The flood hazards are often associated with extreme precipitation that occur in long duration. This research aims to identify the spatial distribution of extreme precipitations based on daily rain gauge precipitation data over Central Java. Daily precipitation data from 1998-2010 were obtained from rain gauge stations from Indonesian Bureau of Meteorology, Climatology, and Geophysics (BMKG). Extreme precipitation identification taken by precipitation threshold, return period rainfall, and probable maximum precipitation (PMP). The results indicate that extreme precipitation occurs mainly in the lowlands and coastal areas over the northern and southern part of Central Java. The distribution of extreme precipitation could be utilized to map the susceptible area affected by floods, such as Tegal, Pekalongan, Kendal, Semarang, Demak, Purworejo, Kebumen, Kutoarjo, Gombong, and Cilacap.
Analysis of the Economic and Environmental Feasibility of a Home Automation System
Authors: Pico G. , Llosas Y. , Maques P. , Mendoza E. , Nuñez R. , Castro N. , Nuñez J. 
Published: July 2021

Abstract
The current research was carried out to analyze the economic feasibility and contribution to homes and buildings automation in the field of environmental protection. The objective that led this study was to explore and investigate the increase in comfort and safety, as well as, the reduction in the electrical energy consumption, so that, it is possible to achieve greater energy efficiency in the No 3 building at the Technical University of Manabí (UTM) in Ecuador. In order to, investigate deeply the economic feasibility; it is relevant to be aware of the electric power and automation equipment cost that will be integrated into the Z-wave protocol. Moreover, the electric bill study contracted by the UTM this was developed initially with the monetary value of the electric power, which was regulated by the Electricity Control Agency. On regards to the environmental analysis, it was shown that the projection uses of the domotic system in the teaching building No. 3, not only reflected some economic and energy savings but also, it presented a considerable contribution to the environment, due to, the emissions reduction in CO2 to the atmosphere. To accomplish this environmental analysis, the CO2 Emission Factor was considered, regulated by the Ministry of the Environment, which is 0.7079 Kg CO2/kWh. It is important to mention that this value is applicable to all systems that are connected to the national electrical system. To validate the fulfillment of the outlined objective, it was considered two very important scenarios. The first one reflected the reduction of polluting emissions to the atmosphere, because of the use of the photovoltaic located in this build. The second one referred to the theoretical energy saving that will be obtained as the implementation of the home automation system.
Recognition of Colombian Alphabeth in Sign Language Using Deep Learning Techniques
Authors: Arrieta-Rodríguez E , Monterroza-Barrios R E , Torres-Alvarez P L , Castro-Lozano G E 
Published: July 2021

Abstract
This work presents the development of an algorithm for sign language alphabet recognition Colombian in images, using the deep learning technique. For this, a data set consisting of each letter of the alphabet from A up to Z and a total of 4043 images with a resolution of 150×150 pixels of 3 channels, a red neural was built convolutional with 256 layers, with an accuracy of 75%.
Simulation-aided walking pattern generation for a humanoid robotic platform
Authors: Velásquez Sergio Zapata , Mora Orozco Iván Darío , Guerrero Gustavo Suárez , Jara Wuitman Garrafa 
Published: July 2021

Abstract
Bipedal locomotion is one of the main research topics in humanoid robotics due to the complexity of generating dynamically stable gait patterns in robots that are generally very unstable. Good walking performance requires diverse and complex control strategies based on a mathematical model of the robot. Here, a methodology to easily generate stable bipedal locomotion patterns in a humanoid robotic platform is presented. Using a simulation environment and a simple programming method, the robot gait, stability and general behaviour are first simulated and then transferred to the actual machine. Three gait patterns are developed according to the biomechanics of human walking and validated using a humanoid robot platform. The robot exhibits good performance in terms of stability, displacement and velocity. The proposed methodology allows the study of locomotion in biped robots and can serve as a basis for developing controls in closed-loop schemes.
Topology optimization and additive manufacturing in the building and construction industry
Authors: Barragan G A , Perafan J , Urrea G 
Published: July 2021

Abstract
A systematic review covering Topology optimization and Additive manufacturing has been conducted. Covering areas such as its application on the building and construction industry and the potential of its mixed-use. The results found shows the increased interest of the research in this area during the last decade and the vast potential of its full application for safety improvements and resource efficiency.
AISI SAE 1045 steel tenacity variation evaluation subjected to corrosion process by chloride using the Charpy pendulum machine
Authors: Cárdenas-Arias C G , Rincón-Quintero A D , Sandoval-Rodriguez C L , Tarazona-Romero B E , Muñoz-Gutierrez J S , Jímenez-Rueda J L , Acosta-Cárdenas O A 
Published: July 2021

Abstract
The steel corrosion affecting study is important for industries and companies as well as for manufacturers of these material types. AISI SAE 1045 steel was used in this study, due to its frequent use. A specimen’s series were prepared which were induced in an aggressive environment with the aim of degenerative process accelerating by increasing the material corrosion impact by altering the material mechanical properties. 15 specimens were exposed to the fog bank chamber, likewise 15 specimens in saline immersion chamber all with different exposure times 15. 30, and 45 days, subsequently the specimens are the impact test subjected to by the method of Charpy obtaining the tenacity value. To determine these values, the ASTM E23, ASTM A673 and ASTM E739 standards were used.
Development of A Station for The Measurement of Environmental Conditions in The Unidades Tecnologicas De Santander (UTS), Using Telemetry and Database Management with Raspberry Pi
Authors: Quintero Ruiz A , Sandoval-Rodriguez C L , Rincon-Quintero A D , Tarazona-Romero B E , Cárdenas-Arias C G , Ascanio-Villabona J G 
Published: July 2021

Abstract
This article focuses on the development of an electronic remote data acquisition system which will have the following sensors adapted: thermometer, hygrometer and barometer. From the measurements of these will be obtained data of temperature, relative humidity, atmospheric pressure, which will be stored in the form of records in a data recorder using Raspberry Pi and through wireless communication the data will be transmitted when the software requires it to a module Central of visualization, which according to some parameters will automatically update the histories according to the defined times, or at the request of the user. It will be implemented following a process of research, planning, execution and validation. It implies the necessary information for the implementation, in the planning process the different systems to be used will be divided into 3 groups, measurement and registration system, communication system and a control system composed of the software, and then the acquisition will proceed of the equipment and accessories necessary to execute the assembly.
In the execution process, the physical implementation of all the systems will be carried out and the programming of the data acquisition, communication and data storage systems will be developed.
Synthesis and characterization of potassium-doped multilayer graphene prepared by wet process using potassium hydroxide
Authors: Masuzawa Tomoaki , Okigawa Yuki , Ogawa Shuichi , Takakuwa Yuji , Hatakeyama Kazuto , Yamada Takatoshi 
Published: July 2021

Abstract
Potassium (K) doping of multilayer graphene was demonstrated by means of a wet chemical process using potassium hydroxide (KOH) aqueous solution (KOH treatment). The presence of K atoms along the stacking direction was confirmed from depth profiles of 41K+ ions obtained by time-of-flight secondary ion mass spectroscopy (TOF-SIMS). The intensity images of 41K+ ions obtained by TOF-SIMS suggested that the K atoms existed throughout the whole area. For the KOH-treated multilayer graphene, no peak due to K intercalation between graphene layers was obtained by x-ray diffraction (XRD); in Raman spectra, splitting of the G-band peak and disappearance of the 2D-band peak were not observed. A graphite intercalation compound structure was not determined by either XRD or Raman results. However, the up-shift in the G-band peak position in the Raman spectra suggested that K atoms were doped in the graphene. X-ray photoelectron spectroscopy carbon 1s spectra implied that KOH treatment resulted in K-termination at the edges and/or domains of graphene. In addition, a C1s shoulder peak appeared at 1 eV higher binding energy compared to the C1s peak of pristine graphene. Temperature-dependent conductivity measurement results indicated that the conductivity of multilayer graphene was increased by KOH treatment. In addition, the conductivity increased with increasing temperature, which could be explained by band overlap.
From Activated Partial Thromboplastin Time to Antifactor Xa and Back Again
Authors: May Jori E , Siniard Rance Chad , Taylor Laura J , Marques Marisa B , Gangaraju Radhika 
Published: July 2021

Abstract

Objectives
Monitoring is essential to safe anticoagulation prescribing and requires close collaboration among pathologists, clinicians, and pharmacists.

Methods
We describe our experience in the evolving strategy for laboratory testing of unfractionated heparin (UFH).

Results
An intrainstitutional investigation revealed significant discordance between activated partial thromboplastin time (aPTT) and antifactor Xa (anti-Xa) assays, prompting a transition from the former to the latter in 2013. With the increasing use of oral factor Xa inhibitors (eg, apixaban, rivaroxaban, edoxaban, betrixaban), which interfere with the anti-Xa assay, we adapted our protocol again to incorporate aPTT in patients admitted on oral Xa inhibitors who require transition to UFH.

Conclusions
Our experience demonstrates key challenges in anticoagulation and highlights the importance of clinical pathologists in helping health systems adapt to the changing anticoagulation landscape.
AIPW: An R Package for Augmented Inverse Probability–Weighted Estimation of Average Causal Effects
Authors: Zhong Yongqi , Kennedy Edward H , Bodnar Lisa M , Naimi Ashley I 
Published: July 2021

Abstract
An increasing number of recent studies have suggested that doubly robust estimators with cross-fitting should be used when estimating causal effects with machine learning methods. However, not all existing programs that implement doubly robust estimators support machine learning methods and cross-fitting, or provide estimates on multiplicative scales. To address these needs, we developed AIPW, a software package implementing augmented inverse probability weighting (AIPW) estimation of average causal effects in R (R Foundation for Statistical Computing, Vienna, Austria). Key features of the AIPW package include cross-fitting and flexible covariate adjustment for observational studies and randomized controlled trials (RCTs). In this paper, we use a simulated RCT to illustrate implementation of the AIPW estimator. We also perform a simulation study to evaluate the performance of the AIPW package compared with other doubly robust implementations, including CausalGAM, npcausal, tmle, and tmle3. Our simulation showed that the AIPW package yields performance comparable to that of other programs. Furthermore, we also found that cross-fitting substantively decreases the bias and improves the confidence interval coverage for doubly robust estimators fitted with machine learning algorithms. Our findings suggest that the AIPW package can be a useful tool for estimating average causal effects with machine learning methods in RCTs and observational studies.
Impact of smart pump-electronic health record interoperability on patient safety and finances at a community hospital
Authors: Wei Wenfei , Coffey William , Adeola Mobolaji , Abbasi Ghalib 
Published: July 2021

Abstract

Purpose
Integrating smart pumps with an electronic health record (EHR) reduces medication errors by automating pump programming and EHR documentation. This study describes the patient safety and financial impact of pump-EHR interoperability at a community hospital.

Methods
A 316-bed community hospital in Sugar Land, TX, went live with pump-EHR interoperability in October 2019. Data were collected from April 1, 2019, to June 30, 2019 (before implementation) and from April 1, 2020, to June 30, 2020 (after implementation). Rates of drug library compliance, alert firing, alert override, override within 2 seconds, high-risk alert override, and alert resulting in pump reprogramming were measured. Financial impact was measured by Current Procedural Terminology code capture per kept appointment in the infusion center.

Results
Drug library compliance increased from 73.8% to 82.9% with pump-EHR interoperability (P &lt; 0.001). Infusions generating alerts among all infusions programmed with the drug library decreased from 3.5% to 2.6% (P &lt; 0.001), overridden alerts increased from 64.8% to 68.9% (P &lt; 0.001), alerts overridden within 2 seconds decreased from 17.3% to 13.8% (P &lt; 0.001), and reprogrammed alerts decreased from 20.7% to 18.3% (P = 0.002).

Conclusion
Pump-EHR interoperability leads to safer administration of intravenous medications based on improved drug library compliance and more accurate smart pump programming.
Clinical Improvement, Outcomes, Antiviral Activity, and Costs Associated With Early Treatment With Remdesivir for Patients With Coronavirus Disease 2019 (COVID-19)
Authors: Wong Carlos K H , Lau Kristy T K , Au Ivan C H , Xiong Xi , Lau Eric H Y , Cowling Benjamin J 
Published: July 2021

Abstract

Background
Evidence remains inconclusive on any significant benefits of remdesivir in patients with mild-to-moderate COVID-19. This study explored the disease progression, various clinical outcomes, changes in viral load, and costs associated with early remdesivir treatment among COVID-19 patients.

Methods
A territory-wide retrospective cohort of 10 419 patients with COVID-19 hospitalized from 21 January 2020 to 31 January 2021 in Hong Kong was identified. Early remdesivir users were matched with controls using propensity-score matching in a ratio ≤1:4. Study outcomes were time to clinical improvement of at least 1 point on WHO clinical progression scale, hospital discharge, recovery, viral clearance, low viral load, positive IgG antibody, in-hospital death, and composite outcomes of in-hospital death requiring invasive ventilation or intensive care.

Results
After multiple imputation and propensity-score matching, median follow-up was 14 days for both remdesivir (n = 352) and control (n = 1347) groups. Time to clinical improvement was significantly shorter in the remdesivir group than that of control (HR: 1.14; 95% CI: 1.01–1.29; P = .038), as well as for achieving low viral load (1.51; 1.24–1.83; P &lt; .001) and positive IgG antibody (1.50; 1.31–1.70; P &lt; .001). Early remdesivir treatment was associated with lower risk of in-hospital death (HR: .58; 95% CI: .34–.99; P = .045), in addition to a significantly shorter length of hospital stay (difference: −2.56 days; 95% CI: −4.86 to −.26; P = .029), without increasing risks of composite outcomes for clinical deterioration.

Conclusions
Early remdesivir treatment could be extended to hospitalized patients with moderate COVID-19 not requiring oxygen therapy on admission.
Fingerprint Template Protection Using Irreversible Minutiae Tetrahedrons
Authors: Lahmidi Ayoub , Minaoui Khalid , Moujahdi Chouaib , Rziza Mohammed 
Published: July 2021

Abstract
The use of fingerprint continues to increase constantly with the propagation of biometric authentication technologies. Fingerprint is today the most widely used biometric modality for human verification and identification, due to its practical use and its discriminative structure that allows to different identities to be easily distinguished. Unfortunately, this emergence has been accompanied by a number of problems and challenges related to identity theft and to security issues in general. To address these concerns, many approaches have been proposed in which only few of them were able to reach an acceptable level of both security and performance. In this paper, we propose a new fingerprint template protection scheme that enhances the security of protected system while preserving performance. The proposed approach is a minutiae-based technique that performs fingerprint matching in a transformed space using irreversible minutiae tetrahedrons. Using the original Fingerprint Verification Competition (FVC) protocol, the provided experimental results on FVC2002 DB1, DB2 and DB3 fingerprint databases have shown satisfactory recognition rates. Our results are compared to some existing techniques that use the same protocol of test. We have proved as well that the proposed scheme meets the requirements of revocability, unlinkability and irreversibility.