bluuebunny/crossref_metadata_2025_split huggingface dataset:
Additional Lactobacillus and Coconut Powder to Increase Growth and Survival Rate on Cherax sp
Authors: Oktaviana A , Febriani D 
Published: April 2022

AbstractCrayfish culture (Cherax sp) is currently a business opportunity in aquaculture. Cherax sp is one of the local and export commodities. The increasing demand every year, crayfish culture with high productivity is needed. The increase in culture is largely determined by the growth and survival of the crayfish. One alternative that can be applied is the use of probiotics and prebiotics. Lactobacillus sp has been widely used in aquaculture as a probiotic. While coconut pulp contains galactomannan which can function as a prebiotic and is one of the agricultural wastes that can be used as animal feed. The aim of this study is to determine the growth and survival rate of crayfish given probiotics and prebiotics. The experimental design used was a completely randomized design. This study consisted of three treatments with three replications. Treatment A (maintenance of freshwater crayfish without the addition of Lactobacillus and coconut powder), Treatment B (maintenance of freshwater crayfish with the addition of Lactobacillus 2%/kg of feed), and Treatment C (maintenance of freshwater crayfish with the addition of Lactobacillus 2%/kg of feed and coconut powder 2 %/kg feed). Parameters observed were daily growth rate (DGR), survival rate (SR) and water quality. The result from this study showed that DGR has significantly different between A treatment and B, C treatment. But SR showed has not significantly diferrent between the treatments. The highest SR shown in C treatment.
Fungistatic Effect of Ipomea Carnea Extract and Trichoderma Esperellum Against Various Fungal Biological Agents
Authors: Sutarman  , Eko Prihatiningrum Andriani , Miftahurrohmat Agus 
Published: April 2022

Abstract
The study aimed to measure the fungistatic effect of Ipomea carnea and Trichoderma esperellum Tc-Jjr-02 biomass extracts against several fungal isolates of biological agents in vitro. Nine selected biological agent fungi were grown in PDA-chloramphenicol media containing 1% fresh extract of I. carnea biomass, four of them were grown in dual culture with isolate Tc-Jjr-02 with an incubation period of 96 hours. The results showed that the I. carnea biomass extract had a fungistatic effect by inhibiting the growth of the entomopathogenic agents Metarrhizium anipsoliae Me-Sdj-16 (27.8±3.2%) and Beuveria bassiana Be-Sj-13 (38.1±2.6%) and Be-Sdj-15 (18.6±1.0%), and the biofertilizer agents Aspergillus sp. As-Sdj-11 (46.7±1.9%), Pénicillium sp. Pc-Sdj-14 42.7±3.5%, and Trichoderma sp. Tc-Sdj-18 38.5±1.0% at 96 hours incubation period (HAI). The biocontrol agent T. esperellum gave a weak fungistatic effect against the biofertilizer agents As-Sdj-11 and Pc-Sdj-07 were 14.4±1.3% and 7.0±1.9% at 96 HAI and did not have a fungistatic effect on the biofertilizer agents Trichoderma Tc-Ba-05 and Tc-Sdj-09. Application of I. carnea biomass as green manure and some biofertilizer agents can be carried out simultaneously; while the application of T. esperellum can be carried out using biofertilizer agents As-Sdj-11 and Pc-Sdj-07 and Tc-Ba-05 and Tc-Sdj-09.
Liquid Organic Fertilizer Development Strategy Based Coffee Leather and Raw Materials to Increase Revenue Local Coffee Robusta Farmers
Authors: Analianasari A , Kenali EW , Berliana D , Yulia M 
Published: April 2022

Abstract
Coffee husk waste ranges from 40-45% of wet coffee. In addition, the Coffee leather content is still quite good, namely 10.4% crude protein, 17.2% crude fiber. Liquid fertilizer from red cherry coffee pods with a mixture of local raw materials can be used as liquid organic fertilizer to increase coffee production. The objectives of this study were (1) to describe community empowerment in utilizing coffee husk waste and local raw materials available in the village as raw material for liquid fertilizer, (2) to describe the strategy for developing liquid fertilizer from the coffee rind and local raw materials to increase coffee production. robusta in the village of Tribudisyukur, West Lampung. The method used in this study is a qualitative approach with data collection from the literature, observations, interviews and documentation, and SWOT analysis. The results of this study indicate that the people of Tribudisyukur village can use coffee rind waste and local raw materials as liquid fertilizers for coffee cultivation and horticultural crops. Based on the results of the analysis on the SWOT matrix, the recommendation that must be given is the “Progressive” strategy. Alternative strategies for developing liquid organic fertilizers that can be applied are (1) Utilizing quality raw material products (perfectly ripe) as a potential market share which is still widely supported by increasing public interest in organic products and creating new jobs due to the wider market. (2) Cultivating plants that have the potential for fruit rich in nutrients for the availability of nutrients and ecosystem sustainability and to streamline the cost of coffee cultivation.
The Growth and Production of Several Upland Rice Varieties Under Shaded Conditions
Authors: Kamarani  , Satriawan Halus , Nazirah Laila , Ernawita  
Published: April 2022

Abstract
The research aims to analyse the growth and production of several upland rice varieties under shaded conditions. Factorial randomized block design was used in this study, and treatments were as follows: Shading (N) which consisted of 3 levels of treatments, namely N0 (un-shaded), N1 (30% shaded), N2 (60% shaded); and upland rice varieties (G) which were consisted of G1 (Ciherang), G2 (Situ Bagendit), G3 (Kabir 07) and G4 (Malaysian upland rice). Results showed that low light intensity due to shading treatments supressed plant height growth, reduced the number of productive tillers, delayed flowering time and reduced grain yield. Significant difference were observed in the panicle number, panicle length, grain weight and plant dry weight parameters, but showed no significant effect on plant height, tiller numbers, panicle exit age and total grain content. While variety treatments showed significant differences in the parameters of 15 and 30 DAP (days after planting), panicle numbers and plant dry weight. However, difference in showed insignificant effect on plant height 45 DAP (days after planting), tiller numbers, panicle exit age, panicle length, and grain weight. It is also reported that interactions were observed between treatments on all parameter observed, except on panicle exit age.
Analysis of Successful Farming of Sweet Potato, Corn and Chili in Dry Land, Madiun Regency, Indonesia
Authors: Rahayu Sri , Sulistiyo Budi Luluk , Rekyani Puspitawati Indah , Pambudi Nurwantara Ma’ruf 
Published: April 2022

Abstract
Optimal use of dry land is very important to get serious attention because in general dry land has lower productivity than a wetland. This study aims to analyze farming on dry land with the application of successive model cultivation. The research was carried out from March 2021 - June 2021. The study was carried out by collecting primary data from surveys/interviews, and questionnaire. Secondary data was obtained by literature review and information from related agencies. Farming business analysis uses an input-output economic approach with the B/C Ratio method. The results showed that the successive planting model showed high efficiency. The input cost for successive cultivation during the growing season is Rp. 30,187,500, and the income from the marketed production is Rp. 72,715,000.00. The economic analysis of successive farming in one period of planting cassava, corn and chili has a B/C Ratio value of 2.4, meaning that this business is feasible.
Monitoring of pH, Amonia (NH3) and Temperature Parameters Aquaponic Water in the 4.0 Revolution Era
Authors: Maulini R , Sahlinal D , Arifin O 
Published: April 2022

Abstract
The quality of the water is very important in determining the aquaponics system, including the pH parameter such as the ideal acidity level in aquaponics. The water quality temperature parameter also plays a very important role in determining water quality, especially in the case of temperature changes that are influenced by air temperature, wind speed and solar radiation. A safe maximum level of ammonia (NH3) is required in a good aquaponics system. When making adjustments, the water quality is set manually without the use of a controller that is fed back to the actuator, that is, the manual change of the desired temperature, pH value and ammonia. Temperature changes are made by exposure to sunlight or heating, while ammonia is achieved by adding fish feed or adding new water. Whereas the pH treatment is done with vinegar (for a pH value that is too humid), bicarbonate is used for a pH value that is too acidic for the research object. Based on the aquaponic system literature parameter data for ammonia from less than 0.5 ppm to an ideal of 0 ppm, the pH value is in the ideal range of 6.5 - 8, while at the ideal temperature it is (21-28 ) ° C. In this study, the author develops a solution to monitor the state of water with pH, ammonia and temperature sensors based on the Internet of Things, the Arduino Uno uses as monitoring parameters, pH sensors are They use to detect the acid content of water, temperature sensors for temperature measurements, use the MQ135 gas sensor for ammonia. and ESP8266 as a WLAN interface to send data to Android without using actuators.
Predicting the Quality of Pineapple Using the Naive Bayes Classifier Method
Authors: Jaya T S , Yusman M 
Published: April 2022

Abstract
The growing demand for pineapple-based snacks offers very promising business prospects for fruit growers in Indonesia. This opportunity has been taken advantage of by many local farmers who grow this uniquely shaped fruit. To simplify the process of analyzing the quality of pineapples worth selling, machine learning assistance is needed. The factors that will be used for the calculations and analyzes that were previously performed manually by humans, should be performed with machine learning more quickly, efficiently, effectively and accurately. The author proposes the Naïve Bayes Classifier model as a classification method to demonstrate that the model has good accuracy, good precision, good recall and is good at classifying data. In this proposed model, the Naïve Bayes Classifier is a prediction technique based on simple probabilistic criteria and on the application of Bayes’ theorem with the assumption of strong independence. Therefore, this model is capable of producing high classification accuracy with low complexity with classification accuracy up to 75%, so this model can be efficient as an analytical tool.
Fishery of Urisa River in West Papua
Authors: Hidayah T , Muthmainnah D , Marson  , Suryati N K 
Published: April 2022

Abstract
Inland waters in West Papua are endowed with huge diversity. This paper aimed to depict the fish diversity and fishery activities in Urisa River, West Papua, and propose the management for keeping the fish resources sustainably. The study was conducted in 2020 at Urisa River, Kaimana District, West Papua Province, by direct surveying and interviewing the fishers in five stations. The fish samples and kinds of fishing gear were collected from the fishers or local people who fished close to the station. It also calculated the fish production potential. The results showed that eleven fish and a shrimp inhabited in Urisa River, West Papua, were captured using seven fishing gears. The fish production potential was 122.21 kg/ha/year. The recommendation towards keeping the sustainability of fish resources was preserved local wisdom.
Angiotensin Converting Enzyme (ACE) Inhibitory Activity and Extract Protein Profiles of Mung Beans (Vigna radiata L.) Tempeh which Fermented by Rhizopus sp
Authors: Muawanah A , Chalid S Y , Hatiningsih F , Nurbayti S , Zunaedi Z Z 
Published: April 2022

Abstract
Angiotensin Converting Enzyme (ACE) is the enzyme which controls blood pressure. In patients with hypertension, ACE inhibitors are needed to decrease blood pressure. One type of ACE inhibitors is bioactive peptides from mung bean (Vigna radiata L.) tempeh. The aim of study is to know Angiotensin Converting Enzyme (ACE) inhibitory activity and profile of protein extract of mung beans (Vigna radiata L.) tempeh which fermented by Rhizopus sp. Mung beans were fermented with 0,2 and 0,4% Rhizopus sp for 42 hours, observations are made every 6 hours. The dissolved protein and degree of hydrolysis of mung bean protein tempeh extract were measured. The ACE inhibitory’s activity of this protein extract is expressed in percent and protein profile showed by SDS-PAGE. The result of study is the highest ACE inhibitory activity was obtained by mung beans tempeh fermented for 24 hours by 0.4% Rhizopus sp. Protein extract contains dissolved protein 351 mg/mL, the degree of hydrolysis was 18.68% and the ACE inhibitory activity was 75%. Profile protein from SDS-PAGE analysis showed the presence of proteins with molecular weights of 12, 54, 98 and 125 kDa. Therefore, mung beans tempeh has the potential to be developed to be functional antihypertensive foods.
Food Habit and Feeding Habit of The Silver Rasbora (Rasbora Argyrotaenia Blkr) In Waters of Sungai Dua Village, Downstream of Komering River, South Sumatra
Authors: Ridho M R , Setiawan A , Sarno  , Suthari N , Mulyani Y S , Avesena M 
Published: April 2022

Abstract
The research about food habit and feeding habit of The Silver Rasbora (R. argyrotaenia Blkr) in the waters of Sungai Dua Village, Downstream of Komering River, South Sumatra was conducted in December 2016 until November 2017. The aims of this research were to determine food habit and feeding habit of The R. argyrotaenia Blkr in waters of Sungai Dua Village, Downstream of Komering River, South Sumatra. The 94 Samples of fish were collected by using purposive sampling method with six sampling sites. This research was carried out by examining the gut contents of The R. argyrotaenia Blkr. Organisms in gut content were observed and identified, also measured of total length and weight of the The R. argyrotaenia Blkr. Based on the analysis result of gut contents, The R. argyrotaenia Blkr categorized as plankton feeder. Importance Relative Index (IRI) showed the main food of The R. argyrotaenia Blkr is phytoplankton from taxa Diatomae (454.38-3197.31%) and complimentary food is zooplankton from taxa Entomostraca (14.61-423.15%).
Selective photocatalytic hydrogenation of citral over pure TiO
2
nanoparticle
Authors: Luo Chao , Liu Xian , Lai Tao , Li Junyuan , Xia Guoming , Zou Wennan , Wang Hongming 
Published: April 2022

Abstract
The α, β-unsaturated aldehydes selective hydrogenation, especially the C=O bond, is an extremely challenging topic in the field of catalysis. In this paper, a series of pure TiO2 photocatalysts obtained at various calcination temperature were tested for the hydrogenation of citral. It has been determined that inexpensive TiO2 nanoparticles, calcined at 450 °C–500 °C for two hours, show hydrogenation selectivity of 100% from citral toward unsaturated alcohols (UA) with the highest conversion up to 99% under ultraviolet light. The present work reports a simple yet pragmatic approach for the efficient and selective hydrogenation of the C=O bond of citral.
A comparative study on the microstructure, hardness and corrosion resistance of epoxy coated and plain rebars
Authors: Yadav M , Dey I , Ghosh S K 
Published: April 2022

AbstractCorrosion of steel rebars and susceptibility of reinforcement steel to chloride ion attacks are the two major problems for the construction industries and thereby a huge amount of money is spent to repair it. Epoxy coating on the steel rebars can be one cost-effective solution to alleviate the detrimental effects of corrosion in concrete structures. In the present research, plain and epoxy coated rebar (ECR) samples were chosen to study the correlation between microstructure, hardness and corrosion performance. The microstructures of the investigated thermomechanically treated (TMT) rebars primarily reveal tempered martensitic rings at the outer surface followed by a narrow bainitic transition zone in between along with a ferrite-pearlite microstructure at the inner core. The corrosion resistance of plain and epoxy-coated rebars in naturally aerated 3.5% NaCl and 1% HCl solutions were studied using gravimetric test, open circuit potential (OCP) test, and linear polarization monitoring techniques. It has been witnessed that the corrosion current (icorr) has been shifted towards lower values and polarization resistance (Rp) values are higher for ECR samples which is a clear indication of higher corrosion resistance of the ECRs than the plain rebars. Energy dispersive spectroscopy (EDS) analysis reveals the presence of iron hydroxides and iron oxides. However, x-Ray diffraction (XRD) analysis indicates the existence of various types of oxides, hydroxides, and oxy-hydroxides like iron chloride hydroxide [Fe2(OH)3Cl], goethite (α-FeO(OH)), lepidocrocite (γ-FeO(OH)), magnetite (Fe3O4) and bernalite [Fe(OH)3(H2O)0.25] in the epoxy coated rebar samples whereas, plain rebars indicate the presence of goethite (α-FeO(OH)), maghemite (γ-Fe2O3), magnetite (Fe3O4), hydrogoethite (Fe2O3.H2O), lepidocrocite (γ-FeO(OH)) and iron oxide (Fe21.34O32). All the experimental results confirm that ECR samples are more corrosion resistant under both acidic and saline environments.
Incremental robust PCA for vessel segmentation in DSA sequences
Authors: Meng Cai , Xu Yizhou , Li Ning , Li Yanggang , Ren Longfei , Xia Kun 
Published: April 2022

Abstract
In intervention surgery, DSA images provide a new way to observe the vessels and catheters inside the patient. Extracting coronary artery from the dynamic complex background fast improves the effectiveness directly in clinical interventional surgery. This article proposes an incremental robust principal component analysis (IRPCA) method to extract contrast-filled vessels from x-ray coronary angiograms. RPCA is a matrix decomposition method that decomposes a video matrix into foreground and background, commonly used to model complex backgrounds and extract target objects. IRPCA pre-optimizes an x-ray image sequence. When a new x-ray sequence is received, IRPCA optimizes it based on the pre-optimized matrix according to the strategy of minimizing the energy function to obtain the foreground matrix of the new sequence. Besides, based on the idea that the new x-ray sequence introduces new information to the pre-optimized matrix, we propose UIRPCA to improve the performence of IRPCA. Compared with the traditional RPCA method, IRPCA and UIRPCA save much time while ensuring that other indicators remain basically unchanged. The experiment results based on real data show the superiority of the proposed method over other RPCA algorithms.
Improvement of the spreading effect of atmospheric pressure microplasma jet treatment through shielding-gas-controlled focusing
Authors: LV Li , CHEN Jianhang , WANG Jiahao , WANG Shengquan , LI Meng , TU Deyu , SHI Liping , WANG Tao 
Published: April 2022

Abstract
The spreading effect of atmospheric pressure microplasma jets (APμPJ) on the surface of materials will increase the etching area, and controlling the diameter of the jet can improve the precision of surface treatment. In this work, a two-dimensional axisymmetric simulation model is established to analyze the effect of nitrogen (N2) shielding gas on helium (He) from gas dynamics. In addition, by etching the polyethylene terephthalate film, the relationship between the etching effect and aerodynamic analysis is verified. The simulation results are similar to the experimental results, indicating that N2 shielding gas has a focusing effect which is related to the N2 flow rate, distance difference between the inner and outer tubes, and outer tube nozzle diameter. It is hoped that the results of this work can provide a certain reference for the use of shielding gas to control the jet flow of APμPJ.
Quantum self-supervised learning
Authors: Jaderberg B , Anderson L W , Xie W , Albanie S , Kiffner M , Jaksch D 
Published: April 2022

AbstractThe resurgence of self-supervised learning, whereby a deep learning model generates its own supervisory signal from the data, promises a scalable way to tackle the dramatically increasing size of real-world data sets without human annotation. However, the staggering computational complexity of these methods is such that for state-of-the-art performance, classical hardware requirements represent a significant bottleneck to further progress. Here we take the first steps to understanding whether quantum neural networks (QNNs) could meet the demand for more powerful architectures and test its effectiveness in proof-of-principle hybrid experiments. Interestingly, we observe a numerical advantage for the learning of visual representations using small-scale QNN over equivalently structured classical networks, even when the quantum circuits are sampled with only 100 shots. Furthermore, we apply our best quantum model to classify unseen images on theibmq_parisquantum computer and find that current noisy devices can already achieve equal accuracy to the equivalent classical model on downstream tasks.
Origami-patterned capacitor with programmed strain sensitivity
Authors: Dorsey Kristen L , Huang HuiYing , Wen Yuhan 
Published: April 2022

Abstract
Origami patterns have previously been investigated for novel mechanical properties and applications to soft and deployable robotics. This work models and characterizes the mechanical and electrical properties of origami-patterned capacitive strain sensors. Miura-patterned capacitors with different fold angles are fabricated with a silicone body and foil electrodes. The planar strain sensitivity ratio is tunable from 0.2 to 0.5 with fold angles, while all-soft patterns demonstrate low mechanical tunability through fold angle. We conclude by offering recommendations for designing and modeling future origami-patterned soft material sensors.
A Neuropsychological Approach to Mild Cognitive Impairment
Authors: Alfano Dennis P , Grummisch Julia A , Gordon Jennifer L , Hadjistavropoulos Thomas 
Published: April 2022

AbstractObjectiveA neuropsychological approach to the detection and classification of mild cognitive impairment (MCI) using “gold standard” clinical ratings (CRs) was examined in a sample of independently functioning community dwelling seniors. The relationship between CRs and life satisfaction, concurrent validity of cognitive screening measures, and agreement between CRs and existing criteria for MCI were also determined.MethodOne hundred and forty-two participants, aged 75 years and older, were administered a comprehensive battery of neuropsychological tests, along with self-report measures of psychological and psychosocial functioning, and functional independence. CRs were based on demographically corrected neuropsychological variables.ResultsThe prevalence of MCI identified using CRs in this sample was 26.1%. Single and multiple domain subtypes of MCI were readily identified with subtypes reflecting Amnestic and Executive Function impairment predominating. Executive Function was a significant predictor of Life Satisfaction. The MoCA and MMSE both showed weak performance in detecting MCI based on CRs. There was substantial agreement between CRs and the classification criteria for MCI defined by Petersen/Winblad and Jak/Bondi. A global deficit score had near perfect performance as a proxy for CRs in detecting MCI in this sample.ConclusionsThe results provide strong support for the utility of neuropsychological CRs as a “gold standard” operational definition in the detection and classification of MCI in older adults.