bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental evaluations of model-based reinforcement learning combined with MPC
Authors: Zhang Qiming 
Published: December 2023

Abstract
Model-based reinforcement learning has reached outstanding effects in control and decision areas with high sample efficiency compared with model-free algorithms. However, how to combine learning and planning, aiming at improving effect and reducing the cost of planning at the same time seems to be challenging in the model-based area. In this paper, several state-of-the-art model-based algorithms combined with MPC: TD-MPC, PlaNet and Dreamer, are discussed and compared. Theoretical background and features of these methods are analyzed based on the continuous control environments. This work also covers how to design model-based method for different tasks and future directions for improving performance for model-based reinforcement learning research.
An Adaptive Dehazing Network based on Dark Channel Prior and Image Segmentation
Authors: Xu Yijun 
Published: December 2023

Abstract
Image dehazing has always been a popular research topic in the computer vision community, which aims to analyze and process foggy images to enhance detailed information and obtain better visual effects. Previous efforts mainly follow the idea of image enhancement or image restoration. Though the performance had improved, they rely on prior knowledge and often over-processed some specific areas, especially for the sky. In this paper, an adaptive parameters optimization dehazing algorithm based on the dark channel prior was proposed. Specifically, we adopted PSO_FCM to segment the image into the foreground area, the sky area, and the edge mutation area, and assign different patch values to different regions. Extensive experiments demonstrate the effectiveness of our proposed method.
Colorization of gray scale images based on convolutional block attention and Pix2Pix network
Authors: Sun Jiawei 
Published: December 2023

Abstract
Image colorization is a key research direction in the field of computer vision, which aims to predict the color information of grayscale images and convert them into color images. Traditional image colorization methods need to provide a large number of color points to mark each object in the image. As a result of the rapid development of convolutional neural networks, image colorization methods have also improved, with deep learning methods benefiting the most. However, due to the lack of feature quality, there are still many challenges in practical applications, such as boundary blurring. In this paper, we propose a gray image colorization method based on the Convolutional Block Attention Module (CBAM) and Pix2Pix network. Specifically, we add the CBAM module to the U-net generator network, which helps adaptively capture sensitive features, thereby enhancing the quality of features and image coloring. The effectiveness of the proposed model is verified by experiments.
Prediction of breast cancer based on RF, SVM and PCA
Authors: Lou Junhan 
Published: December 2023

Abstract
Breast cancer is often called the pink killer. The most recent statistics from the 2018 International Agency for Research on Cancer (IARC) survey show that the incidence rate of breast cancer is 24.2%, placing it first among women’s cancers globally, with 52.9% of cases occurring in developing nations. When cells in the breast start to grow abnormally, it can lead to the formation of tumours. These tumours can be detected through X-ray imaging or felt as lumps in the breast area, so early detection and treatment are the key to reducing the mortality rate of breast cancer. In this paper, machine learning techniques are employed to construct a breast cancer prediction model using the breast cancer dataset. Different algorithms were utilized in this paper, e.g., 3 machine learning algorithms - Support Vector Machines (SVM), Random Forest (RF), and Principal Component Analysis (PCA) - were utilized to build models for this task. The resulting models achieved impressive performance metrics, with accuracy rates of 94%, 97%, and 96% respectively. The author also finds that some features in the data are insignificant for prediction, and discarding them can lead to faster training time. However, more data is needed to achieve better performance in actual scenarios. These models can help doctors diagnose breast cancer more quickly and accurately.
B-spline method for second order RLC closed series circuit with small inductance value
Authors: Govindarao L. , Sekar E. 
Published: December 2023

Abstract
In this article, we investigates the application of RLC closed series electric circuits. We form the second order linear differential equations for an electric circuit depends upon the Kirchhoffs Voltage laws. A circuit containing an inductance L or capacitor C and resistor R with current and voltage variable given by boundary value problem. Then we use the cubic B-spline functions on graded mesh to solve second order linear boundary value problems. This method gives the second ordered convergent. Numerical results (charge q) for different cases of L are presented and compared with exact solutions in the table form.
For higher accuracy: 3D eye movement gaze depth estimation method based on Mix-TCN
Authors: Zhu Changxu 
Published: December 2023

Abstract
Currently, the biggest obstacle in applying eye tracking technology in Virtual Reality (VR) and Augmented Reality (AR) scenes is the particular difficulty in choosing distance and object distance in 3D scenes. In previous research, geometric calculation methods using vestibular ocular reflex (VOR) and research on binocular visual angle have been studied to some extent, but unfortunately, their effects have not reached a practical level. The paper proposes a new research idea to estimate the depth of binocular gaze using a method of time series eye movement data analysis based on depth learning, and proposes a Mix-Temporal Convolutional Network (TCN) optical time series network. By combining VOR and deep learning theory, the paper has realized the current state-of-the-art technology for estimating the depth of gaze from the movement of the gaze.
Reproductive and production performances of pearl oyster (Pinctada maxima) produced by thermal shock spawning method
Authors: Kusmiatun A , Sufiati A , Utami D A S 
Published: December 2023

Abstract
Pearl oyster (Pinctada maxima) hatchery faces several problems including low larval survival and slow larval growth. This study aimed to evaluate the reproductive and production performances of pearl oyster obtained from the breeding of silver and mixed populations through thermal shock spawning method. Two breeding types applied consisted of silver and mixed population breeding. Each breeding type was conducted in two experiments as the replication. The spawning method used in this study was thermal shock spawning method. Pearl oyster larvae hatched were stocked into a container with a stocking density of 3-4 individuals m-3. Live feed administered to larvae included Chaetoceros calcitrans, Isocrysis galbana, and Pavlova lutheri. The parameters observed included Fertilization Rate (FR), Hatching Rate (HR), Survival Rate (SR), and water quality. The silver population showed a higher reproductive performance with higher FR (35.56 ± 3.29%) and HR (81.63 ± 2.87%) than those of mixed population (35.03 ± 1.72%; 54.51 ± 0.32%). The silver population (45 ± 5%) resulted in a higher SR compared to mixed population (43 ± 2%). In conclusion, the silver population breeding provided higher reproductive and production performances, so one population breeding can be applied to achieve a high production in pearl oyster hatchery.
Diversity, distribution and abundance of hymenopteran from different landscapes of Kuala Keniam National Park, Pahang, Malaysia
Authors: Yahaya I N S , Khalid N J , Ibrahim N A , Nizam N A , Naser N B M , Yusof N N M , Kamarudin S H , Zazi N M , Hatta S K M 
Published: December 2023

Abstract
A study on the diversity and distribution of Hymenoptera in Kuala Keniam National Park was conducted using Malaise traps. Three study sites were established namely the forest fringe, the mid forest and the inner forest. A total of 353 individuals were collected, belonging to 11 families and 46 morphospecies. The most abundant was found in the forest fringe with 177 individuals and the inner forest recorded the least with 71 individuals. Formicidae was the most abundant family with 176 individuals while Halictidae and Diapridae recorded the least with only two individuals. The Shannon-Wiener diversity index (H’) showed that the middle forest had the highest value with H’=1.67 while the evenness index (E’) was the highest at the mid forest with E’= 0.53 and the Margalef richness index (R’) recorded the same value for the forest fringe and the middle forest with R’= 1.93. Kruskal-Wallis test showed that there was a significant difference in the distribution of hymenopteran families among all the traps, with P<0.05 due to the changes of flowering plants’ density, precipitation and humidity. The findings will contribute to the existing knowledge of Hymenoptera diversity in Malaysia and aid in the conservation efforts of Kuala Keniam National Park.
Larval instars determination for the twig borer weevil (Coleoptera: Curculionidae) of Falcataria moluccana (Miq.) Barneby & Grimes in Moluccas, Indonesia
Authors: Sitanggang P B U , Hidayat P , Kusumah Y M , Leatemia J A , Bitume E V , Johnson M T 
Published: December 2023

Abstract
In establishing an integrated pest control strategy, it is important first to discover the life history of a potential agent, including the number of larval instars. The snout-weevil of the tribe Ithyporini Genus species (Coleoptera: Curculionidae) is a holometabolous insect that attacks Falcataria moluccana, a native tree of the Moluccas (Maluku), Indonesia. Preliminary observations show that their larvae feed and develop as a twig borer, making direct observation of their development complicated. This study aimed to determine the number of larval instars by measuring the head capsule width (HCW) and the growth pattern of larvae. As many as 940 larvae of all sizes were collected from three islands in Maluku Province: Ambon, Seram, and Haruku. Kernel density estimation (KDE) and Gaussian mixture model (GMM) were used for data analysis. The growth instars were verified using Brooks-Dyar’s rule. The results indicated four peaks in the frequency distribution from KDE, and cluster four showed the best-fit model from GMM. The growth ratio of HCW was 1.47, which also agrees with Brooks-Dyar’s rule that the growth ratio was consistent and followed a constant geometric. Thus, this research concluded that there were four instars for Ithyporini Gen. sp. larvae.
Characterization of medicinal Ganoderma of GKR7 isolate based on cultural, morphological, and molecular characters
Authors: Sari O Y , Sudirman L I , Wahyudi S T 
Published: December 2023

Abstract

Ganoderma has commonly known as traditional medicinal mushroom. The GKR7 fruiting body of Ganoderma has been tested for antimicrobial activity against EPEC-antibiotic resistant strains and has shown great inhibition. However, the pure culture and fruiting body of the GKR7 have not been characterized. This study aimed to characterize the GKR7 based on its cultural features, fruiting body morphology, and molecular analysis. Cultural features and fruiting body morphology were determined by describing macroscopic and microscopic characteristics while molecular analysis was performed using internal transcribed spacer (ITS5/ITS4) region sequencing. The culture showed white then yellow or brown colonies. Hyphal features showed septate, hyaline, dichotomous branches, and having clamp-connection. Oxidation test with gallic/tannic acid formed dark discoloured areas under the colony mat indicating as white rot fungi. The fruiting body which cultivated in Albasia (Albizia falcataria) wood sawdust had hard corky to woody basidioma, dark brown stipe, shell-like pileus, upper surface of pileus white then reddish brown and lower surface yellowish white with irregular circular pores, and hyaline-brown double-walled truncate basidiospores. Phylogenetic analysis indicated that the GKR7 clustered in the same species clade as Ganoderma sichuanense. Based on its characteristics, the GKR7 was identified as G. sichuanense which was first reported in Indonesia.
New distribution record of Hippoid crabs on Bali strait, Indonesia
Authors: Susilo V E , Wardiatno Y , Farajallah A , Wowor D 
Published: December 2023

Abstract
Hippoidea are known as sand crabs or mole crabs. The distribution of these crabs in Indonesia is found in the Sundaland and the eastern region bounded by the Wallacea line. The purpose of this study was to determine the existence of Hippoidea’s species in Bali Strait. The crab collection was carried out in the Bali Strait during 2 weeks in May 2023. The collection of mole crab in Bomo and Blimbingsari beaches, Banyuwangi and Watu Ulo Beach Regency East Java. Sample collection was done in the morning between 6:00-10:00 am using hands pickup and fishing bait. All of the crab samples that were successfully collected were documented on the beach sand as a photo background, then preserved in 96%. Based on the morphological identification, there were 2 species of mole crab, namely Hippa adactyla (n=11) individuals, and Albunea symysta (4) individuals. The species found on the Blimbingsari beach was only H. adactyla (5). The species from Watu Ulo Beach were 2 species Hippa adactyla (n=8) individuals, and Albunea symysta (1) individuals. These results show a new distribution and record in the central part of Indonesia, especially at the boundary of the Wallacea line.
Species discrimination power of ITS DNA barcoding on Tristaniopsis species on Bangka Island, Indonesia
Authors: Prihatini I , Widyatmoko A Y P B C , Nurtjahjaningsih I L G , Haryjanto L , Hadiyan Y 
Published: December 2023

Abstract
The rDNA ITS barcoding marker has been widely used for plant identification, along with other primers for the chloroplast sequence region. This study applied the ITS primer to discriminate Tristaniopsis spp. on Bangka Island. Twelve leaf samples were collected from five community forests in Bangka district. The pairwise distance between sequences calculated using Kimura’s two parameters in MEGA11 revealed that pelawan air is different from other pelawan specimens (1.58–2.1%), while pelawan orange and pelawan merah specimens showed low variation (0–0.78%). There is a barcoding gap in the application of the ITS markers (full-length ITS including 5.8s, ITS1, and ITS2) for Tristaniopsis, which is shown by the higher value of minimum interspecific divergence than the value of maximum interspecific divergence for all three regions. Phylogeny trees constructed from the nucleotide sequence of 12 pelawan and other related taxa clustered pelawan merah and pelawan orange together and separated them from pelawan air.
Wings geo-morphometrical differences based on geographic distance of Aedes aegypti from Southeast Aceh District Sumatra and Sleman District Java
Authors: Astuti R R U N W , Umri W N S , Illahi A N 
Published: December 2023

Abstract

Aedes aegypti is a mosquito species that is the main vector of dengue, zika, and chikungunya infection. Indonesia is a tropical country with great potential for transmission of Mosquito-Borne Disease. Geo-morphometric analysis is an approach method to evaluate the correlation between shape and the environmental variables that affect to mosquitoes, and to identify variations in mosquito populations by geographical conditions and various types of habitats. The purpose of this study was to determine the geomorphometric differences in the Ae. aegypti population from Southeast Aceh District and Sleman District Yogyakarta as well as examining the environmental conditions and factors that might be affecting wings geomorphometry variations. Eggs collection was carried out with ovitraps at both sampling locations. Eggs were hatched till the mature state, at the age of 3rd days, wings preparation is carried out. Digitization and analysis were performed using GM analysis program (Xyom.io). Significant differences (α; p<0.001) were shown in the size and shape of the wings and the distance of mahalanobis of the Ae. aegypti from Southeast Aceh and Sleman District. The results revealed that mosquitoes from the two districts are not closely related.
Citizen science contribution in herpetofauna data collection in Java
Authors: Fauzia A M , Kusrini M D , Prasetyo L B 
Published: December 2023

AbstractBiodiversity distribution data is essential as it is the basis for policies, development plans, and laws. Citizen science, which involves public participation in scientific research, has become a popular method for researchers to gather scientific data with the help of volunteers, including biodiversity distribution data. “Amfibi Reptil Kita” (ARK) is one of the citizen science projects on the iNaturalist platform that collects herpetofauna data in Indonesia. Earlier investigations into the distribution of herpetofauna data in Java and Bali involved utilizing museum collections and reports based on observations and research. A comparative analysis was performed between previous research data and information sourced from ARK, aiming to evaluate the extent of citizen science’s contribution to data compilation. This study only compares the distribution data on the island of Java. The data is presented in a grid format measuring 5x5 km as the smallest unit in the study. Citizen science data is more evenly distributed than the previous research. Although previous research had more filled grids compared to citizen science, the span of previous research is 113 years compared to 5 years data of citizen science. Nevertheless, citizen science, with all its conveniences, has high potential in collecting biodiversity distribution data.
The feeding behavior and food preferences of siamang (Symphalangus syndactylus Raffles, 1821) at Taman Safari Indonesia Bogor
Authors: Dewi D P , Iskandar E , Perwitasari-Farajallah D 
Published: December 2023

Abstract
Siamang (Symphalangus syndactylus Raffles, 1821) is a diurnal primate that belongs to the endangered category, according to the IUCN. Siamangs are classified as arboreal and frugivorous animals that selectively choose food. Siamang’s food preferences tend to be determined by the fruit availability in its habitat. One of the efforts to protect siamangs is ex-situ conservation. Feeding in ex-situ conservation should be adjusted to provide in their natural habitat. This study aims to identify siamang’s feeding behavior and food preferences in one of the ex-situ conservation facilities, namely Taman Safari Indonesia Bogor. The objects of observation consisted of two adult males, one adult female, and one sub-adult female. The methods used were instantaneous sampling, focal animal sampling, and ad-libitum sampling—statistical analysis using One-Way ANOVA and Two-Way ANOVA with Tukey’s test. The frequency and duration of siamang feeding behavior differed significantly between age classes, while no difference was based on sex. Food preferences among individuals are influenced by gender. Males prefer fruits such as apples and salak over vegetables, while females prefer soft-stemmed vegetables, namely water spinach and spinach.
Genetic relationship of kasturi mango (Mangifera casturi Kosterm.) from South Kalimantan and Riau based on microsatellite markers
Authors: Hayati A N , Poerwanto R , Duminil J , Matra D D 
Published: December 2023

Abstract

Mangifera casturi Kosterm is one of the endemic fruits from South Kalimantan. It belongs to the genus Mangifera of the Anacardiaceae family. This study aimed to analyze the genetic relationship of Mangifera casturi from South Kalimantan and Riau using microsatellite markers. Fourteen Mangifera casturi accessions were amplified using fourteen microsatellite loci, and the data produced was utilized to evaluate the genetic relationship. DNA amplification using the multiplex PCR method with fluorescence-labeled dyes on the forward primer will be detected using capillary electrophoresis. Forty-two alleles were obtained from the fourteen loci, averaging three per locus. The observed heterozygosity value (Ho) is 0.24, which is lower than the expected heterozygosity value (He), with an average of 0.48. The fourteen-microsatellite fixation index (FIS) loci ranged between –0.876 and 1. The average Polymorphic information content (PIC) value is 0.39, with the highest found in MC58089 loci (0.65), indicating the SSR marker loci are informative for revealing genetic diversity. The phylogenetic analysis using the neighbor-joining method was constructed into four groups. Kasturi mango from Riau is closely related to Pelipisan and Cuban cultivars from South Kalimantan.
Antibacterial, antifungal and antioxidant activities of Bacillus cereus SMPRL-2 isolated from seaweeds Eucheuma cottonii
Authors: Indraningrat A A G , Purnami P P C P , Aryastuti A A S A , Wijaya M D , Horng J T 
Published: December 2023

Abstract
Seaweeds have a strong relationship with prokaryotic community especially bacteria. Bacteria-associated with seaweeds generally produce active compounds which could be potential for pharmaceutical purposes. This research was focused to study antibacterial, antifungal and antioxidant activities from a bacteria encoded as SMPRL-2, isolated from Eucheuma cottonii. Molecular identification of the isolate was performed based on 16S rRNA sequencing and its morphology was assessed using scanning electronic microscope (SEM). The isolate SMPRL-2 was fermented in 100 mL ISP-2 liquid media for 14 days and extracted using ethyl acetate (1:1 ratio, v/v). The obtained crude extract was screened against bacterial and fungal isolates based on Kirby-Bauer method. The extract was screened for its antioxidant activities using DPPH method. The isolate was identified as Bacillus cereus, with short rod morphology under SEM observation. Zone of inhibition (ZOI) of the extract was 14.7±0.8 mm and 9.1±0.8 mm against Streptococcus mutans FNCC 0405 and Escherichia coli ATCC 25922, respectively. Furthermore, ZOI of the extract against Candida albicans and Aspergillus flavus were 9.6±0.9 mm and 8.8±2.3 mm respectively. A very weak antioxidant activity with IC50 value of 33000 ppm was observed. Overall, this result provides a preliminary finding of marine bacteria as naturally active compounds producer.
Phytochemical and antioxidant activities of chloroform extract of Sonneratia alba leaves from Ngurah Rai Mangrove Forest, Bali - Indonesia
Authors: Wijaya M D , Surya P R A , Udiyani D P C , Indraningrat A A G 
Published: December 2023

Abstract
The increasing prevalence of oxidative stress-related diseases triggers exploration of new antioxidant compounds. Among natural resources, mangrove trees are prominent producer of unique secondary metabolites. This research was designed to determine phytochemicals and antioxidant activity of Sonneratia alba mangrove leaves extract from Ngurah Rai Mangrove Forest, Bali. The study comprises experimental trials with post-test only control group design. Fresh leaves collected from five different S. alba plants were washed, dried, and grinded into powder. One-hundred gram of dried leaves powder was macerated with 500 mL of chloroform for 2x24 hours. The crude extract was analysed for its antioxidant activity based on DPPH assay. While, phytochemical analysis was evaluated using qualitative approaches and GC-MS method. The chloroform extract showed very strong antioxidant activity with IC50 of 15.59±0.78 ppm. Phytochemical analysis displayed that the extract contains tannin, phenol, and steroid, which explain its antioxidant properties. Furthermore, GC-MS analysis showed that this extract consists of four compounds, namely mesitylene, benzene-1,2,4-trimethyl, benzene-1-ethyl-3-methyl, and benzene-1-ethyl-2-methyl. In conclusion, these results present promising antioxidant activity of chloroform extract of S. alba mangrove leaves from Ngurah Rai Mangrove Forest, Bali. Further research is required to isolate and to purify the specific antioxidant bioactive for therapeutic purposes.