bluuebunny/crossref_metadata_2025_split huggingface dataset:
Morphological Analysis of Sili (Macrognathus sp.) in Some Regencies in East Java Province
Authors: Meirikayanti H , Mufasirin  , Mubarak A S 
Published: July 2022

Abstract
Sili (Macrognathus sp.) is one of freshwater fishes that has high economic value in Asia, since it is beneficial as a consumable fish and an ornamental fish. The economic potential of Sili triggers overfishing, especially in East Java. Domestication is a method to preserve Sili in East Java, preceded by identifying potential species of Macrognathus sp. from the natural catchment. This study aims to characterize the morphological differences of Macrognathus sp in several regencies in East Java based on morphological and morphometric phenotypes. Samples were collected at five different locations, specifically: Tulungagung (Boyolangu Watersheds), Kediri (Brantas Watersheds), Mojokerto (Brantas Watersheds), Lamongan (Bengawan Solo Watersheds), and Malang (Karangkates Reservoir). The main parameters observed were morphology and morphometry. The morphological analysis used identification guidelines, while morphometric data were obtained through 14 parameters measurement then analyzed using one-way Anova test on SPSS 25 software. Based on the morphological and morphometric analysis, it is known that the species of Sili in some regencies in East Java are Macrognathus tapirus and Macrognathus aculeatus. The results showed that samples from Tuban and Kediri are Macrognathus tapirus. Furthermore, the samples collected from Mojokerto, Lamongan, and Malang are Macrognathus aculeatus. One-way Anova test showed Sili from the five locations were significantly different based on the result value of p<0.05.
Providing feed from a mixed of chicken broth and chicken manure with different dosages on nutritional content Daphnia magna
Authors: Setyawan Suryaning Trinita , Cahyoko Yudi , Sari Luthfiana Aprilianita 
Published: July 2022

Abstract
Live feed is one of the most important factors of the success of fish farming, especially in fish hatchery activities. Live feed that has the potential to support cultivation activities is Daphnia magna. One of the problems on Daphnia magna culture is feed availability that can meet the nutrients in Daphnia magna. The aim of this research was to study the effect of providing feed from combination of chicken broth and chicken manure on the nutritional value of Daphnia magna. This study was experimental using the RAL method consisting of 4 treatments with 5 replications, namely control treatment (P0) 7.5 mL/L dose of feed, (P1) 2.5 mL/L dose of fermented feed, (P2) 5 mL/L dose of fermented feed and (P3) 7.5 mL/L dose of fermented feed. Data analysis was processed using ANOVA and Duncan. The result of this study has a significant effect (P<0.05) on nutritional content of Daphnia magna with the best dose in P3 which can affect the highest protein (51,98%) and highest fat (12,17%) of Daphnia magna. The highest fiber (13,32%) of Daphnia magna was found in the P1 treatment and the highest carbohydrates (37,51%) of Daphnia magna was found in the P0 treatment.
Estimation of planting season for food crops based on water balance model at center of food crops, Parimo Regency, Central Sulawesi Province
Authors: Fathurrahman  , Syakur Abd. , Marthadi Rio , Kadeko Inrianto , Yusuf Ramal 
Published: July 2022

Abstract
Rice is an essential and strategic commodity because of its role as the staple food of Indonesian society. The purpose of this study is to facilitate farmers in planning system of planting patterns based on water balance model. It is useful to reduce the risk of crop failure in the centre for food crops. Therefore, it is necessary to make a good plan in regulating rice cropping system pattern based on water balance model. The method used is Thornhtwaite and Mather. The data needed to conduct this research are rainfall, temperature data, evapotranspiration data and soil sample data of each sub-district in Parigi Moutong. The results showed that there were some sub-districts not suitable to be planted rice, i.e. Palasa, Siniu, Ampibabo, Suli and Torue. Therefore, other plant alternatives are needed to support food security of Parigi Moutong. The appropriate sub-districts as centres for paddy, i.e. Moutong, Sausu, Toribuli Tinombo Selatan, Dolago and Baliara. The results of this research make researchers easier to map the area after it is known which areas are suitable to be a centre for food crops especially paddy. Finally, it needs great support from the government to create strong food security in Parigi Moutong.
Molecular identification and potency of scalloped spiny lobster (Panulirus homarus) study from Kodang Merak Beach, South Malang
Authors: Ramdhani R , Sulmartiwi L , Andriyono S 
Published: July 2022

Abstract
Lobster is one of the commodities from the fisheries sector that has high economic value. The problem faced is that there is still limited biological information on lobster species in Indonesia, including identifying genetic diversity. The purpose of this study was to determine the potential ofscalloped spiny lobster. Lobster identification was carried out morphologically and molecularly on the most dominant lobster species at Kondang Merak Beach, Malang. The method in this study used observation and experimental methods. The results of recording data on natural lobster catch from local fishermen from Kondang Merak,scalloped spiny lobster is the most dominant species compared to other types of lobster (painted spiny lobster, ornate spiny lobster). Morphologically, the most dominant lobster sample (MAL-01) obtained from this research location was Panulirus homarus. The lobster has a color pattern and meristic characteristics that are in accordance with the morphological identification reference used. Molecular identification of scalloped spiny lobster (DNA barcoding) has shown that the lobster specimen is a scalloped spiny lobster (Panulirus homarus) which has the same sequence as KF548574 (100%) in the BLASTN results with the Genbank Database.
Seasonal variation of water quality of three urban small lakes in West Java, Indonesia
Authors: Sulastri  , Akhdiana Ira 
Published: July 2022

Abstract
Urban lakes play an important role in supporting quality of human life. There are more than 200 urban lakes in Jabodetabek areas, some of which are experiencing high risk of disappearance due to pollution, eutrophication, and sedimentation. There have been limited long monitoring of limnological data on appropriate management practice to protect the integrity of this vulnerable system. This aim of study is reveal seasonal variations of water quality in Lake Cibuntu Lake Dora, and Lake Lotus in Cibinong, West Java to support the management strategy of lakes. Water quality data including water depth, conductivity, Total Dissolved Solid, pH, Dissolved Oxygen, nutrient, were collected biweekly from July 2018 to July 2019. This result revealed that Lake Cibuntu and Lake Lotus have high variability of water depth compared to Lake Dora with the range 31 to 120 cm, 32 to 84 cm and 72 to 113 cm. The dynamic of water depth seems having an effect to the water quality variability in observed lakes. In term of nutrient, it showed a different pattern of variability fluctuation between observed lakes. The pattern of seasonal variability of water quality appeared to be related with seasonal of the year and water source.
The effect of Caesalpinia sappan extract on body weight and carcass weight of bucks (Cuniculus forma domestica) exposed to heat stress
Authors: Agustono B , Safitri D L , Saputro A L , Prastiya R A , Kusuma N M , Sari E D Y 
Published: July 2022

Abstract
The aim of this research was to determine the effect of Caesalpinia sappan L. extract on body weight and carcass weight of bucks exposed by heat stress. This research used a completely randomized design with 4 treatments and 5 replications. The experimental animal were 5 month old bucks of rex type. The bucks were divided into 4 groups and given different treatments for 28 days, namely K + (complete feed + heat stress), K- (complete feed), P1 (complete feed + Caesalpinia sappan L. 100mg/kg feed + heat stress), and P2 (complete feed + Caesalpinia sappan L. 300 mg/kg feed + heat stress). The observed variables were the body weight and the carcass weight of the bucks. Parametric data was analyzed using ANOVA. The average body weight was K+ (2220.00), K- (2239.80), P1 (2241.60), P2 (2242.00). The average carcass weight was K+ (1132.40), K- (1232.00), P1 (1233.00), P2 (1233.20). The results of study showed that there was a significant difference (P<0.05) between the treatment and control group. Based on the research conducted, it can be concluded that the administration of Caesalpinia sappan L. extract can maintain the body weight and carcass weight of buck exposed to heat stress.
Effects of Moina sp. [Straus, 1820] adding of Snail Flour to Increase the Larvae performance of Jelawat Fish (Leptobarbus hoevenii [Bleeker, 1851])
Authors: Santanumurti Muhammad Browijoyo , Sidik Jafar , Putri Berta , Hudaidah Siti 
Published: July 2022

AbstractEnrichment is the process of adding an ingredient aiming to compliment and increase the nutrient feed. Potential snail flour served as a media enriched inMoinasp. because it has a high nutrient content. The objective of the study was to assess the provision ofMoinasp. enriched with golden snail flour to the growth and survival of larvae of jelawat fish (Leptobarbus hoevenii). This research was conducted at Sungai Gelam Freshwater Aquaculture Center, Jambi and Faculty of Agriculture, University of Lampung. The research design was a complete randomized design (RAL) with 4 different treatments of golden snail flour doses, namely A (control), B (4 g/l), C (8 g/l), D (12 g/l), with 3 repetitions. Data absolute length growth, absolute weight growth, and survival rate were analyzed using the Anova test and continued with the BNT test. The results showed that the application ofMoinasp enriched with golden snail meal 4 g/l and 8 g/l had a significant effect on long growth and weight but had no significant effect on the survival rate of jelawat fish.
Effect of temperature, pH, and salinity on body weight of Asian Seabass (Lates calcarifer) at different stockings
Authors: Insivitawati E , Hakimah N , Chudlori M S 
Published: July 2022

Abstract
The Asian Seabass farming can be successful with optimum environmental conditions. Water quality as a culture media must always be maintained to suppress the occurrence of pathogen attacks on fish. The study aims to determine the effect of temperature, pH, and salinity in the maintenance of body weight Asian Seabass (Lates calcarifer) at different stocking. The field experiment method was applied in this study using a 6.28 m3 tank using 2 treatments, namely P1 (density 1000) and P2 (density 1400) fish measuring 2-3 cm for 30 days. Parameters observed included observations of growth and water quality (temperature, pH, and salinity). The result showed that there was an effect of temperature, pH, and salinity on the growth of Asian Seabass. The temperature, pH, and salinity showed an effect on body weight by P1 (35.2%) and P2 (28.9%). The conclusion of this study is that the density of 1000 shows a higher effect that the density of 1400 on the growth of Asian Seabass.
Application of eDNA method to analyze bacterial community structures in the recirculation aquaculture systems of Litopenaeus vannamei
Authors: Pramudia Zulkisam , Amin A A , Yanuar A T , Susanti Y A D , Yanuhar U , Ulfa S M , Huda A S , Kurniawan A 
Published: July 2022

Abstract
One of the main focuses in microbial ecology is the analysis of microbial communities in water, especially concerning bacteria. The results of the analysis related to the abundance of bacteria will be essential knowledge for the development of aquaculture, especially those relating to the dynamics of pond water quality. This study aims to analyze the total abundance of bacteria and water quality dynamics in the water of Litopenaeus vannamei aquaculture that applies a recirculation system. The study was conducted for three months on a concrete pond plot with an area of 2500 m2. Samples of bacterial abundance were taken from pond water, while water quality checks were carried out at ponds and pond outlets. Sampling was carried out at weeks 1, 3, 5, and 8 during the cultivation phase. Bacterial abundance was calculated using Environmental DNA (eDNA), which refers to DNA extracted from the environment without isolating the target organism. The water quality parameters observed were pH, conductivity, DO, turbidity, temperature, and salinity. This study suggested that the abundance of bacteria from the first to the 8th week were 15.3x107; 17.1x107; 36.6x107; and 35.4x107, respectively. Moreover, DO ranged from 3.2 ppm to 7.6 ppm; temperature ranged from 30 °C to 33.3°C; turbidity raged from 12 NTU to 57 NTU; salinity ranged from 19 ppt to 24 ppt; conductivity ranged from 2.93 s/m to 3.54 s/m, and pH ranged from 6.6 to 7.0. This study indicates that the recirculation aquaculture system in Lamongan, East Java may obtain the optimum water quality and controlling the abundance of bacteria to support the aquaculture of Litopenaeus vannamei.
Tribological behavior of extruded spray-forming 2195-T6 Al-Li alloy at different loads using pin-on-disk tribotester
Authors: Chen Qingqiang , Yu Yalei , Ma Guanjie , Wang Zhonglei , Sun Jie , Lu Laixiao 
Published: July 2022

Abstract
The tribological properties of Al-Li alloys impact the reliability of components used in different industrial sectors. In this research, the effect of normal load on friction and wear properties of the extruded spray-formed 2195-T6 Al-Li alloy is investigated by using a pin-on-disk tester. Through the microstructure of the friction subsurface, it is evaluated that the friction coefficient of 2195 alloy decreases from 0.408 to 0.306 by increasing load (25 N to 150 N), while the wear rate increases exponentially. It is also analyzed that a mild-severe wear transition occurs between 100 N and 125 N and the main wear mechanism gradually shifts from abrasive wear and oxidative wear to delamination wear (25 N ∼ 100 N), and finally attains the state of severe plastic deformation (125 N ∼ 150 N). Under the action of normal load and friction shearing force, the deformation layer in the subsurface increases from 3 μm to 43 μm with increasing load, and the accumulation of strain leads to cracks and holes.
Nanosecond laser preheating effect on ablation morphology and plasma emission in collinear dual-pulse laser-induced breakdown spectroscopy
Authors: LI Na , HAREFA Edward , ZHOU Weidong 
Published: July 2022

Abstract
Focus-offset collinear dual-pulse laser-induced breakdown spectroscopy is designed and used to investigate the laser ablation and spectral intensity with an aluminum alloy sample. The laser crater morphologies and ablation volumes were measured. An inter-pulse time delay dependent ablation efficiency on a nanosecond laser-heated sample was observed, which was similar to the trend of spectral intensity versus inter-pulse time delay in the delay time less than 3 μs. Based on the observation, the nanosecond pulse laser preheating effect on subsequent second laser ablation and signal enhancement is discussed, which will be helpful for understanding the ablation and signal enhancement mechanism in the standard collinear DP-LIBS technique.
Rotor performance enhancement by alternating current dielectric barrier discharge plasma actuation
Authors: ZHAO 赵 Guangyin 光银 , WANG 王 Chang 畅 , YANG 杨 Yongdong 永东 , LI 李 Guoqiang 国强 , SHI 史 Zheyu 喆羽 
Published: July 2022

Abstract
An experimental system was established to explore the plasma flow control effect for helicopter rotors in hover mode. With the plasma actuator applied at the leading edge of the rotor blades, alternating current dielectric barrier discharge (AC-DBD) plasma actuation was generated by a sinusoidal AC high-voltage generator. By direct force measurement, the influence of actuation parameters on the aerodynamic performance of the rotor was investigated at a tip Reynolds number of 1.7 × 105. AC-DBD actuation can delay the blade stall to more than 3° with a 20% increase of about in the thrust coefficient at the post-stall pitch. At a constant motor power driving the rotor, AC-DBD actuation could reduce the rotor’s torque at the stalled pitch and increase the rotational speed of the rotor. Also, AC-DBD actuation could maintain a relatively high hover efficiency of the rotor at large collective pitches. In a wide range of actuation parameters, AC-DBD plasma actuation could improve the rotor’s aerodynamic performance at large blade pitches. High-speed photography of the tuft motion on the blade’s upper surface showed that AC-DBD plasma actuation could promote the reattachment of the blade’s separation flow.
On the fast spreading scenario
Authors: He Siming , Tadmor Eitan , Zlatoš Andrej 
Published: July 2022

We study two types of divergence-free fluid flows on unbounded domains in two and three dimensions—hyperbolic and shear flows—and their influence on chemotaxis and combustion. We show that fast spreading by these flows, when they are strong enough, can suppress growth of solutions to PDE modeling these phenomena. This includes prevention of singularity formation and global regularity of solutions to advective Patlak-Keller-Segel equations onR2\mathbb {R}^2andR3\mathbb {R}^3, confirming numerical observations by Khan, Johnson, Cartee, and Yao [Involve 9 (2016), pp. 119–131], as well as quenching in advection-reaction-diffusion equations.
A deep learning method for predicting metabolite–disease associations via graph neural network
Authors: Sun Feiyue , Sun Jianqiang , Zhao Qi 
Published: July 2022

AbstractMetabolism is the process by which an organism continuously replaces old substances with new substances. It plays an important role in maintaining human life, body growth and reproduction. More and more researchers have shown that the concentrations of some metabolites in patients are different from those in healthy people. Traditional biological experiments can test some hypotheses and verify their relationships but usually take a considerable amount of time and money. Therefore, it is urgent to develop a new computational method to identify the relationships between metabolites and diseases. In this work, we present a new deep learning algorithm named as graph convolutional network with graph attention network (GCNAT) to predict the potential associations of disease-related metabolites. First, we construct a heterogeneous network based on known metabolite–disease associations, metabolite–metabolite similarities and disease–disease similarities. Metabolite and disease features are encoded and learned through the graph convolutional neural network. Then, a graph attention layer is used to combine the embeddings of multiple convolutional layers, and the corresponding attention coefficients are calculated to assign different weights to the embeddings of each layer. Further, the prediction result is obtained by decoding and scoring the final synthetic embeddings. Finally, GCNAT achieves a reliable area under the receiver operating characteristic curve of 0.95 and the precision-recall curve of 0.405, which are better than the results of existing five state-of-the-art predictive methods in 5-fold cross-validation, and the case studies show that the metabolite–disease correlations predicted by our method can be successfully demonstrated by relevant experiments. We hope that GCNAT could be a useful biomedical research tool for predicting potential metabolite–disease associations in the future.
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification
Authors: Yazdani-Jahromi Mehdi , Yousefi Niloofar , Tayebi Aida , Kolanthai Elayaraja , Neal Craig J , Seal Sudipta , Garibay Ozlem Ozmen 
Published: July 2022

AbstractIn this study, we introduce an interpretable graph-based deep learning prediction model, AttentionSiteDTI, which utilizes protein binding sites along with a self-attention mechanism to address the problem of drug–target interaction prediction. Our proposed model is inspired by sentence classification models in the field of Natural Language Processing, where the drug–target complex is treated as a sentence with relational meaning between its biochemical entities a.k.a. protein pockets and drug molecule. AttentionSiteDTI enables interpretability by identifying the protein binding sites that contribute the most toward the drug–target interaction. Results on three benchmark datasets show improved performance compared with the current state-of-the-art models. More significantly, unlike previous studies, our model shows superior performance, when tested on new proteins (i.e. high generalizability). Through multidisciplinary collaboration, we further experimentally evaluate the practical potential of our proposed approach. To achieve this, we first computationally predict the binding interactions between some candidate compounds and a target protein, then experimentally validate the binding interactions for these pairs in the laboratory. The high agreement between the computationally predicted and experimentally observed (measured) drug–target interactions illustrates the potential of our method as an effective pre-screening tool in drug repurposing applications.
Distinctive modes of cortical communications in tactile temporal order judgment
Authors: Moharramipour Ali , Takahashi Toshimitsu , Kitazawa Shigeru 
Published: July 2022

AbstractTemporal order judgment of two successive tactile stimuli delivered to our hands is often inverted when we cross our hands. The present study aimed to identify time–frequency profiles of the interactions across the cortical network associated with the crossed-hand tactile temporal order judgment task using magnetoencephalography. We found that the interactions across the cortical network were channeled to a low-frequency band (5–10 Hz) when the hands were uncrossed. However, the interactions became activated in a higher band (12–18 Hz) when the hands were crossed. The participants with fewer inverted judgments relied mainly on the higher band, whereas those with more frequent inverted judgments (reversers) utilized both. Moreover, reversers showed greater cortical interactions in the higher band when their judgment was correct compared to when it was inverted. Overall, the results show that the cortical network communicates in two distinctive frequency modes during the crossed-hand tactile temporal order judgment task. A default mode of communications in the low-frequency band encourages inverted judgments, and correct judgment is robustly achieved by recruiting the high-frequency mode.