bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrodeposition of atmosphere-sensitive ternary sodium transition metal oxide films for sodium-based electrochemical energy storage
Authors: Patra Arghya , Davis Jerome , Pidaparthy Saran , Karigerasi Manohar H. , Zahiri Beniamin , Kulkarni Ashish A. , Caple Michael A. , Shoemaker Daniel P. , Zuo Jian Min , Braun Paul V. 
Published: May 2021

Significance
Layered sodium transition metal oxides constitute an important class of materials with applications including electrochemical energy storage, high-temperature superconductivity, and electrocatalysis. However, electrodeposition of these compounds, an approach commonly used to grow oxides, has been elusive due to their atmosphere instability and intrinsic incompatibility with aqueous electrolytes. Using a molten sodium hydroxide electrolyte, we demonstrate electrodeposition of O3 (O′3)- and P2-type layered sodium transition metal oxides and apply these electrodeposits as high areal capacity cathodes in sodium-ion batteries. The electrodeposits are micrometers thick, polycrystalline, and structurally similar to materials synthesized classically at high temperature. This work enables fabrication of previously inaccessible alkali and alkaline earth ion intercalated, higher valent transition group oxides in important thick film form factors.
Oviductal motile cilia are essential for oocyte pickup but dispensable for sperm and embryo transport
Authors: Yuan Shuiqiao , Wang Zhuqing , Peng Hongying , Ward Sean M. , Hennig Grant W. , Zheng Huili , Yan Wei 
Published: May 2021

Significance
The oviduct is essential for female fertility due to its two main functions: transport and nourishment. While the nourishment role is mainly fulfilled by secretory cells, the relative contribution to the transport function by ciliated cells and smooth muscle cells remains controversial. Here, we show that functional motile cilia in the infundibulum are essential for oocyte pickup and transport, whereas motile cilia in the ampulla and isthmus regions of the oviduct facilitate gamete and embryo transport but are dispensable for female fertility. Knowledge derived from the present study may have important clinical implications in the areas including development of nonhormonal female contraceptives, understanding the cause of ectopic pregnancy and high-grade serous ovarian cancer, etc.
Calibration of gas flow meters using choked flow and an evacuated vessel
Authors: Trueblood Max B , Schmid Otmar , Altese Nicholas , Hurst Christian J , Liu Wenyan , Gelles Teresa , Achterberg Steven C , Whitefield Philip D , Hagen Donald E 
Published: May 2021

Abstract
The measurement of gas flow rates is of great importance in a wide range of modern technologies. This paper introduces a simple, yet accurate technique for in-house calibration of gas FMs (mass and volumetric) even under harsh environmental conditions such as encountered during field measurement campaigns. The method requires only readily available, low cost components: a vessel of known volume, an air pump, a pressure sensor and a metal plate orifice or a needle valve to act as a CO. The unique property of choked flow in the CO is used here for flow calibration. In the method presented here a vessel is evacuated to below the critical pressure (<0.53 of upstream pressure) and then allowed to refill with ambient air (or some other process gas) under so-called choked flow conditions through the CO. The method presented here leverages that the flow rate upstream of the CO is not only constant but readily determined from (a) the known V
VESS, (b) the measured time rate of change of the absolute pressure in the vessel and (c) the ideal gas law. This calculated flow rate can be used for calibration of FMs. The accuracy of the method depends only on the accuracy of the pressure measurement, the timer and the value of the V
VESS. The flow rate computed in this way is found to be in excellent agreement (typically 1% difference) with the flow rate measured by a soap film FM (Gilibrator). As expected from theory this method is found to work for all kinds of CFRs (here: various types of metal plate orifices and needle valves were tested), gas types (here: air, Argon, and CO2) and upstream pressures (here: between 650 hPa and 1400 hPa). The accuracy of this technique (∼1%) is as good as that of standard volume displacement methods (e.g. soap film FMs) (typically 1% difference), the standard of laboratory-based flow calibrators, but less expensive and more suitable for harsh environments.
Morphology of three-body quantum states from machine learning
Authors: Huber David , Marchukov Oleksandr V , Hammer Hans-Werner , Volosniev Artem G 
Published: May 2021

Abstract
The relative motion of three impenetrable particles on a ring, in our case two identical fermions and one impurity, is isomorphic to a triangular quantum billiard. Depending on the ratio κ of the impurity and fermion masses, the billiards can be integrable or non-integrable (also referred to in the main text as chaotic). To set the stage, we first investigate the energy level distributions of the billiards as a function of 1/κ ∈ [0, 1] and find no evidence of integrable cases beyond the limiting values 1/κ = 1 and 1/κ = 0. Then, we use machine learning tools to analyze properties of probability distributions of individual quantum states. We find that convolutional neural networks can correctly classify integrable and non-integrable states. The decisive features of the wave functions are the normalization and a large number of zero elements, corresponding to the existence of a nodal line. The network achieves typical accuracies of 97%, suggesting that machine learning tools can be used to analyze and classify the morphology of probability densities obtained in theory or experiment.
Thermodynamics of a rotating and non-linear magnetic-charged black hole in the quintessence field
Authors: Ndongmo Ragil , Mahamat Saleh , Bouetou Thomas Bouetou , Kofane Timoleon Crepin 
Published: May 2021

Abstract
We purpose an approach for the thermodynamic analysis of a rotating and non-linear magnetic-charged black hole with quintessence. Accordingly, we compute various thermodynamic quantities of the black hole, such as mass, temperature, potential provided from the magnetic charge, and the heat capacity. This allows us to appreciate how quintessence modifies the behaviour of the black hole. Moreover, we study second-order phase transitions of this black hole, analysing the plot of its heat capacity. Then, we show that the black hole mass would have a phase of decrease. From the behaviour of the heat capacity, we point out that the black hole undergoes to a second-order phase transition, which is shifted towards higher values of entropy as we increase the rotating parameter a or the magnetic parameter Q. However, we have found that when we increase the quintessence parameter c, the second-order phase transition is instead shifted to lower entropy values.
Online recognition of handwritten characters from scalp-recorded brain activities during handwriting
Authors: Pei Leisi , Ouyang Guang 
Published: May 2021

Abstract

Objective. Brain–computer interfaces aim to build an efficient communication with the world using neural signals, which may bring great benefits to human society, especially to people with physical impairments. To date, the ability to translate brain signals to effective communication outcome remains low. This work explores whether the handwriting process could serve as a potential interface with high performance. To this end, we first examined how much the scalp-recorded brain signals encode information related to handwriting and whether it is feasible to precisely retrieve the handwritten content solely from the scalp-recorded electrical data. Approach. Five participants were instructed to write the sentence ‘HELLO, WORLD!’ repeatedly on a tablet while their brain signals were simultaneously recorded by electroencephalography (EEG). The EEG signals were first decomposed by independent component analysis for extracting features to be used to train a convolutional neural network (CNN) to recognize the written symbols. Main results. The accuracy of the CNN-based classifier trained and applied on the same participant (training and test data separated) ranged from 76.8% to 97.0%. The accuracy of cross-participant application was more diverse, ranging from 14.7% to 58.7%. These results showed the possibility of recognizing the handwritten content directly from the scalp level brain signal. A demonstration of the recognition system in an online mode was presented. The major factor that grounded the recognition was the close association between the rich dynamics of electroencephalogram source activities and the kinematic information during the handwriting movements. Significance. This work revealed an explicit and precise mapping between scalp-level electrophysiological signals and linguistic information conveyed by handwriting, which provided a novel approach to developing brain computer interfaces that focus on semantic communication.
A Modification method based on U-Net for the distorted pseudo edge of aerial initial orthophoto
Authors: Xiong JIA , Jianxin HU , Hu JIANCHENG 
Published: May 2021

Abstract
The images captured by UAV camera have serious non-perspective distortion, and the overlap rate of heading and side direction is high. Only about 30% area of the image is available. The characteristics of small image frame and small ratio of base to height also lead to of model connection.In addition, the accuracy of image segmentation based on feature extraction is far from enough.Although the classical convolutional neural network can achieve effective image segmentation and edge calculation, but the resolution is declining in the process of forward propagation, which makes it difficult to achieve accurate segmentation of building edge when only using the features of the last layer.The above problems are the main reasons for the poor accuracy and serious distortion of the final synthetic aerial orthophoto image.To solve this problem, this paper proposes a U-Net based method to calculate and correct the distorted pseudo edge of aerial orthophoto.The object of study is the initial Orthophoto Image which is not synthesized by aerial photography.Firstly, based on the idea of U-Net, a neural network model with excellent performance in the field of image segmentation, the symmetrical network structure is used to fuse the high-dimensional and low dimensional features of the depth network to restore the high fidelity real boundary.Secondly, before the true value output, for the distorted features, brown method is used to find the superposition constraint positions of ideal feature points and corrected feature points, calculate the pseudo edge between distorted and undistorted, extract and prune, and retain the undistorted true value region.Finally, nested overlay and constraint detection are performed by combining the DEM of satellite images with the combined aerial orthophoto results.In the research and test, the detection accuracy statistics of internal industry encryption points and field control points with different scale accuracy are adopted, and the total coverage area is 0.5km²,more than 4000 buiding target data sets.The results show that the DOM detection error of the new aerial composite image and satellite image is less than 3 m and 9 m, which shows that the edge calculation and correction of aerial orthophoto composite image based on U-Net is efficient and feasible.
Classical Control Strategies Used in Recent Surgical Robots
Authors: Shi Yunze , Kumar Singh Santosh , Yang Liangjing 
Published: May 2021

Abstract
With the increasing demand for soft and smart robotic technology for surgical applications, there have been growing interests in the development of controllers. Modern developments in the design process of surgical robots are being fundamentally different from traditional robots. There is a huge design gap with a lack of a unified and systematic framework for the design process, analysis, and control for these high-dimensional robots. On the other hand, more and more surgical robots have been developed, which has greatly impacted medical practice. This review paper attempts to provide an insight into various control strategies such as PID control, model predictive control, and sliding mode control along with basic structures of different autonomy level surgical robot control systems as a guideline for the clinical application of surgical robot in the futures. A comprehensive assessment by highlighting the limitations and design gaps of various control strategies is reported for future application.
Comparison of the positive and negative two points incremental forming quality
Authors: Zhu H , Cheng G X , Won Jung Dong 
Published: May 2021

Abstract
The forming method of the positive and negative two points incremental forming is different, so the forming quality will be different. The forming processes on the positive and negative two points incremental forming were simulated numerically by using the Finite Element Analysis software ANSYS/LS-DYNA, and the forming quality was compared and analyzed according to the thickness, profile curve, and equivalent stain. The research shows that the thickness, equivalent strain and contour accuracy of the positive two points incremental forming are better than that of the negative two points incremental forming. Therefore, the forming quality of the positive two points incremental forming is better.
Using design expert d-optimal for formula optimization of functional drink that enriched with moringa leaf extract (Moringa oleifera)
Authors: Kahfi M A , Sutisna A N , Ainia H , Cecep A R 
Published: May 2021

AbstractThe nutritional content found in Moringa leaf can be used as a supporting substance, the utilization of Moringa leaf extract as for the enrichment of drink products that are ready for consumption such as instant drink products. The use of Moringa leaf extract as an instant drink is an innovation of a local food product to help girl adolescent that are already menstruating to prevention iron deficiency anemia. The purpose of this study was to determine the optimization of the instant drink formula enriched with Moringa leaf extract using the Expert D-Optimal Design. The research stages were conducted by: (1) preparation of the Moringa leaf extract, (2) determination of the fillers from cassava flour, modification cassava flour, and dextrins, (3) characterization of the instant drinks with selected fillers, (4) Moringa leaf enriched instant drink formula optimization using the Program of Design Expert-12 the Mixture Design method. The research results based on the prediction of the Program of Design Expert-12 show that the optimized formula from 38.01% moringa leaf extrac and 29.94% dextrins with desirability value is 0.521. Verification result has a water soluble time of 17.54 seconds; water insoluble part 0.002%; yield 61.15%; bulk density 0.72 g/mL; 64.65 degrees of brightness; moisture content 1.32%; ash content 0.27%; pH 3.22; antioxidant activity 0.00027; tannin content 0.07%; iron content 3.47 μg/mL and organoleptic values include color 4.15; aroma 3.99; taste 3.94; and overall 4.02.
Preliminary assessment of water balance at Mayang watershed, East Java
Authors: Sihombing A M C , Indarto I , Wahyuningsih S 
Published: May 2021

Abstract
Mayang watershed is prone to hydrological disasters. The watershed is subject to flooding events during the rainy season, and potentially prone to drought risk during the dry season. This study aims to assess the sustainability of water balance on the watershed using the Water Evaluation and Planning (WEAP) model. Supply water comes from rainfall. Demand is calculated based on the need for irrigation, domestic, urban, industrial, and livestock uses. The unit of time to calculate the water balance is ten days. In one month it is divided into three periods. WEAP modeling is based on current water requirements. The results showed that from 2002 to 2019, the available water resources were not able to meet all water demand throughout the year. Unmet demand occurs from May 2nd to December 2nd. From December 3rd to May 1st, the Mayang river and its tributaries were able to supply the water for all demand sites up to 100%.
Effect of different amount of cross-linker and catalyst on modified cassava towards its chemical characteristic
Authors: Sondari D , P Amanda , Suryaningrum R , Burhani D , Pramasari D A , Septevani A A , Restu W K , Agustian E , Irawan Y , Oktaviani M 
Published: May 2021

Abstract
The experimental works involved preparing modified cassava using cross-linker sodium trimethyl phosphate (STMP) and catalyst (sodium chloride) towards its chemical characteristic. In this study, the number of cross-linker and catalyst were varied to determine the effect of each amount of cross-linker and catalyst towards the value of solubility, swelling power, freeze-thaw, and FTIR analysis. Their structural and functional properties were also characterized by Fourier Transform Infrared (FTIR). This study found that the properties of modified cassava containing 2% (w/w) of the catalyst were less effective than the modified cassava comprised of 4% (w/w) sodium chloride. The 2% (w/w) content of cross-linker in the modified cassava model was the best amount of STMP to be used in this process.
Magnetic field exposure affects plant-parasitic nematode Meloidogyne spp. motion behavior
Authors: Fauzi S , Hamid M N , Triangga F , Pradana A P 
Published: May 2021

Abstract
Plant-parasitic nematodes are costly burdens of crop production. Ubiquitous in nature, phytoparasitic nematodes are associated with nearly every important agricultural crop and represent a significant constraint on global food security. This study aimed to determine the effect of magnetic field exposure on plant-parasitic nematodes, namely Meloidogyne sp. This research was carried out in October 2019 in the laboratory of agriculture, University of Jember. The study used a completely randomized design using four treatments, namely exposure to the N polar magnetic field, S polar magnetic field, toroidal magnetic field (N to S), and reverse toroidal magnetic field (S to N) with a magnetic strength of 1,5 Mt and the number of nematodes was 50 J2 per treatment. The results showed that the magnetic field affects the nematode’s motion, which is increasingly greening the magnetic field within 60 seconds, 90 seconds, and 120 seconds. Nematodes experience the most rapid movement and move further away from the magnetic field within 60 seconds and 120 seconds in the treatment of reverse toroidal magnetic field exposure (S to N) equal to 13 mm and 24.5 mm. Hereby, this study provides new information about changes in nematode motion to exposure to magnetic fields.
Effect of land criticality on nutrient availability (case study of Dinoyo sub watershed, Jember regency, Indonesia)
Authors: Sari P T , Indarto  , Sujarwo M W , Romadhon M R 
Published: May 2021

Abstract
Dinoyo sub-watershed is one of the watersheds that drain water from Argopuro Mountain through the Panti and Rambipuji Districts. Land-use changes in the upstream area have reduced the function of water absorption and increased soil erosion. It causes drought during the dry season and flooding during the rainy season which is a characteristic of critical land. This study aims to map the level of criticality of the Dinoyo sub-watershed area and its relationship to nutrient availability. This study used the scoring and weighting method of four main factors that affect the critical value of land (land cover, slope, management, and erosion level). The layers then executed using the Gis program. The result of this analysis produces a land criticality map. Based on the analysis, the up-stream section has high nutrient availability compared to the middle and downstream regions. There are two classes of land criticality, which are rather critical and substantial criticism. The area included in the rather critical was 1,723.34 ha dominated by forest land use. A coffee plantation dominates a sizeable critical area of 2,333.88 ha. From regression analysis showed that organic matter had the most influence on the criticality of land.
The effect of different time durations of ozone treatment and storage temperatures on postharvest quality of banana (Musa acuminata)
Authors: Triardianto D , Bintoro N 
Published: May 2021

Abstract
As a climacteric fruit, bananas continue to ripe after being harvested and it’s accelerated by ethylene produced by the product. The rate of ripening process greatly influences shelf life of banana. Ozone treatment and storage temperature potentially inhibit ethylene production and may lengthen shelf life. The purpose of this study was to observe the effect of different time durations of ozone treatment and storage room temperatures on the changes of peel colour, firmness, and weight loss of banana fruit. Green mature kepok bananas were used as the sample. The duration time of ozone exposure treatments used were 0 (untreated), 10, 15, and 20 minutes every day with the flow rate of 0.0279 ppm/min. While the storage temperatures used were 5, 15, and 27°C (ambient temperature). The physical qualities of the samples were measured every day for three weeks of storage. Repeated measure of statistical analysis indicated that storage time and its interaction with exposure time durations and storage temperatures were found to have significant effect on hue angle, chroma, firmness, and weight loss. It was also known that storage temperature had a significant effect on those above attributes, while exposure time duration of ozone treatment only affected hue angle.
Inhibition of orange (Citrus reticulata ) green mold with anti-fungal yeast Debaryomyces hansenii and Aureobasidium pullulans
Authors: Indratmi D , Hartawati  , Noctavia C T , Rachmawan M D 
Published: May 2021

Abstract
Green mold rot is an important disease that generally affects post-harvest and storage oranges. The attack of this disease quickly causes a decrease in the quality and shelf life of citrus fruits during storage. Post-harvest handling of citrus fruit from green mold attack is generally by coating the fruit using synthetic fungicides so that the fungicide residue often sticks to the orange peel when marketed. Fruit protection with a protective material can be used to increase shelf life and maintain the quality or quality of fruit stored in a room without refrigeration. The use of yeast as a protective material for postharvest fruit is still a little developed. The yeast fructoplan D. hansenii and A. pullulans have anti-fungal properties, so they have the potential to be developed as fruit protective agents. The experiment objective to find out the yeast ability of fructoplan D. hansenii and A. pullulans to protect postharvest citrus fruits with different ripeness levels against pathogens of green mold, storage capacity and quality of citrus fruits. The study was conducted using a two-factor randomized block design with four replications. The first factor, the type of antifungal yeast treatment, consisted of 4 levels; namely treatment without yeast and pathogens as negative control; pathogen inoculation alone, without application of yeast as positive control; A. pullulans application treatment, and D. hansenii application treatment. The second factor was the level of maturity of the citrus fruit, consisting of 3 levels, namely 25% yellow, 75% yellow; and 100% yellow. Measurement variables included disease severity, intensity of green mold rot, fruit storage time, weight loss, fruit hardness, vitamin C content, and total dissolved solids. The results of the experiment proved that the coating treatment of citrus fruits with yeast D. hansenii and A. pullulans was able to maintain the quality of oranges, increase shelf life, and increase the resistance of oranges to post-harvest diseases without reducing the quality of citrus.