bluuebunny/crossref_metadata_2025_split huggingface dataset:
Realization of an Adaptive Test Paper Generation Function based on DPC Algorithm
Authors: Dong Na , Zhang Rui , Han Hui , Xu Baoxi , Han Jingjing , Ma Xin 
Published: January 2022

Abstract
Before COVID-19, although the online assessment platform has developed, it is relatively slow, and people prefer to organize on-site examinations. After the outbreak of the epidemic, people realize the urgency and necessity of information construction in all walks of life. More and more researchers begin to pay attention to and explore the use of advanced machine learning methods to improve the practicability of online examinations platform. The test paper generation function is the core link, and a good test paper generation function can ensure the quality of a test paper. In this paper, an advanced unsupervised algorithm DPC(Clustering by Fast Search and Find of Density Peaks) is used to conduct deep mining and test paper generation adaptive based on the question bank and historical assessment such as assessment frequency, accuracy or score rate, and a more reasonable test paper generation function is realized. By comparing and testing the experimental results, it can be proved that the idea is correct and feasible.
Research on Visual Odometer of Wheeled Robot with Motion Constraints
Authors: Chenggong Wang , Gen Li , Xi Wang , Youyi Zhang 
Published: January 2022

Abstract
In this paper, aiming at the planar motion characteristics of wheeled robots, the Red Green Blue Depth Camera (RGBD camera) was used as an image acquisition device to reduce the motion of wheeled robots to two-dimensional plane processing, which simplified the calculation method of visual mileage of planar wheeled robots. In addition, according to the two-dimensional motion characteristics of the robot camera, the contour constraint condition of feature point matching between frames was proposed, and the linear constraint condition was proposed by linearizing the motion equation of the camera between frames. The research showed that the contour constraint condition and linear constraint condition could be used to screen the mismatched feature points, this condition could not only screen the mismatched point pairs of color images, but also screen the matching point pairs with correct color image matching but large depth error, which provided high quality matching point pairs for inter-frame motion estimation of visual odometer. Finally, the filtered matching point pairs were reduced in dimension and combined with the two-dimensional Iterative Closest Point (ICP) algorithm to estimate the trajectory of the robot camera. The experimentation results showed that compared with the original three-dimensional ICP algorithm, the combination of contour constraint condition, linear constraint condition and two-dimensional ICP algorithm could significantly improve the computational speed of visual odometry.
Research on Position Recommendation System Based on Convolutional Neural Network
Authors: Li Yuan , Ning Guangjian , Zhang Haoxi 
Published: January 2022

Abstract
It is tough to find the perfect position that matches job hunters’ skills and salary levels in many positions. The traditional job recommendation systems are usually based on the keywords entered by the job seeker to get a job list. However, it is difficult for job-seekers to find their favorite positions the fastest among the vast number of positions. The advent of recommender systems makes this tedious process simple. In this article, we propose a new algorithm that combines the emerging TextCNN algorithm with collaborative filtering. Our method can more fully consider the skills and realization of job seekers and is better than just using TextCNN recommendation or just collaborative filtering. Our method can help job seekers quickly find a job that perfectly matches their skills after inputting their skills.
Additive Noise Model Structure Learning Based on Spatial Coordinates
Authors: Yang Jing , Zhu Youjie , Wang Aiguo 
Published: January 2022

Abstract
A new algorithm named SCB (Spatial Coordinates Based) algorithm is presented for structure learning of additive noise model, which can effectively deal with nonlinear arbitrarily distributed data. This paper makes three specific contributions. Firstly, SC (Spatial Coordinates) coefficient is proposed to use as a standard of independence test and CSC (Conditional Spatial Coordinates) coefficient as a standard of conditional independence test. Secondly, it is proved that the CSC coefficient conforms to the standard normal distribution and the HSIC independence test can be regarded as a special case of the SC coefficient. Finally, based on the SC coefficient, the SCB algorithm is proposed, and the experimental comparison with some existing algorithms on seven classical networks shows that the SCB algorithm has better performance. In particular, SCB algorithm can deal with large sample, high dimensional nonlinear data, and maintain good accuracy and time performance.
The LSPE-Strip beams
Authors: Realini S. , Franceschet C. , Villa F. , Sandri M. , Addamo G. , Alonso-Arias P. , Bersanelli M. , Cuttaia F. , Jones M. , Maris M. , Mena F.P. , Mennella A. , Molina R. , Morgante G. , Tomasi M. , Zannoni M. 
Published: January 2022

Abstract
In this paper we describe the design and characterization of
the optical system of LSPE/Strip, a coherent polarimeter array that
will observe the microwave sky from the Teide Observatory in
Tenerife in two frequency bands centred at 43 and 95 GHz through a
dual-reflector crossed-Dragone telescope of 1.5 m aperture. In
general, optical systems composed by a telescope-feed array assembly
have non-idealities that might limit their ability to perform
high-precision measurements. It is thus necessary to understand,
characterize and properly control these systematic effects. For
this reason, we performed electromagnetic simulations to
characterize angular resolution, sidelobes, main beam symmetry,
polarization purity and feedhorns orientation. The results
presented in this paper will be an essential input for further
optical studies and for the LSPE/Strip data analysis. Ultimately,
they will be used to assess the impact of optical systematic effects
on the scientific results.
RF design and tuning of a deuteron RFQ for detecting impurity deposition on a tokamak
Authors: Liu S. , Bai Q. , Wei Y.X. , Lu Y.R. , Wang Z. , Han M.Y. , Li H.P. , Tan Q.Y. , Wei T.H. , Xia Y. , Zheng P.F. 
Published: January 2022

Abstract
Peking University and Southwestern Institute of Physics are
jointly developing a new deuteron Radio Frequency Quadrupole (RFQ)
accelerator to study the migration and deposition of impurities on
the first wall of a tokamak facility. The RFQ operates at 162.5 MHz
with the duty factor of 1%, which can accelerate 10 mA deuteron
beam from 40 keV up to 1.5 MeV within 2.2 m length. Such
four-vane RFQ is divided into two segments and equipped with 40
tuners in total. In the electromagnetic (EM) design, the dipole
stabilizer rods (DSRs) were optimized to obtain a mode separation of
3.1 MHz. The tuners and undercuts were also designed and optimized
to fulfill the requirements of the resonant frequency, flat
longitudinal field distribution and field tuning. Following the EM
design, multi-physics analysis and structure error analysis was
carried out. The cavity was fabricated with 99.9% oxygen-free
electronic (OFE) copper. The assembly and braze of each RFQ module
have been completed, the results of metrological measurements via
coordinate measuring machine (CMM) indicate that there was no
unexpected deformation. The intrinsic Q-value of the whole cavity is
12834 in the low level radio frequency (RF) measurements, which is
87% of the theoretical simulation with electrical conductivity of
5.8 × 107 S/m. After tuning, the quadrupole perturbative
component decreased from 2.6% to 0.6%, and the dipole perturbative
components decreased from 6.1% to 1%.
Brazil's Iguaçu National Park threatened by illegal activities: Predicting consequences of proposed downgrading and road construction
Authors: Prasniewski Victor Mateus , Szinwelski Neucir , Bertrand Anne Sophie , Martello Felipe , Brocardo Carlos Rodrigo , Cunha Juan , Sperber Carlos Frankl , Viana Raquel , dos Santos Bruna Gava , Fearnside Philip , Sobral-Souza Thadeu 
Published: January 2022

Abstract
The spectacularly biodiverse Atlantic Forest of South America has been reduced to fragmented remnants. The largest remaining inland fragment is protected by national parks on either side of the iconic Iguassu Falls on the border between Brazil and Argentina. Biodiversity in the parks has been under pressure from illegal activities such as commercial hunting, fishing and extraction of palm hearts. A proposed road through Brazil’s Igua\c{c}u National Park now further threatens the area’s biodiversity by further dividing the forest fragment and by increasing access by illegal actors. Here we analyze spatial data on illegal activities and develop a niche-based model to predict the impact of the proposed Caminho-do-Colono road. The model shows the significant increases that this road would provoke in susceptibility to illegal activities such as fishing (median 0.009 to 0.101), palm-heart extraction (median 0.087 to 0.260) and poaching (median 0.324 to 0.334). The road proposal includes downgrading the protected status of a portion of the park, which reflects a worldwide pattern of downsizing, downgrading and degazetting protected areas that is particularly evident in Brazil.
Shrimp pond suitability index (SPSI) in the north coast of Sumenep Regency
Authors: Ferdiansyah D , Darmawan A K , Wahyurini E T , Sugiono S 
Published: January 2022

Abstract
Utilization of coastal areas for aquaculture in the Regency is currently starting to increase and exceed the allotment of space in coastal areas. However, some ponds change the mangrove ecosystem and do not ignore the environmental impact. Shrimp production is currently still below the environmental carrying capacity which can still be increased. The objectives of this study were: to analyze the land suitability of traditional, semi-intensive, and intensive shrimp ponds that meet the criteria of land suitability and environmental carrying capacity, and to formulate priorities for environmentally friendly alternative aquaculture technologies. This study uses a field survey to analyze the socio-economic community and land use through interviews with ten cultivators and business actors spread across four coastal districts. The research resulted in an analysis of the sustainability indicators of shrimp farming in the coastal area of Sumenep Regency. This research contributes to policy makers and the community to pay more attention to the sustainability indicators of shrimp farming in coastal areas.
Microplastic abundance in sea cucumber at seagrass ecosystem of Bintan Island and surrounding area, Indonesia
Authors: Idris F , Febrianto T , Hidayati J R , Rajib  , Nugraha A H 
Published: January 2022

Abstract
The increasing use of plastic in various aspects of life impacts the increase in plastic waste in the environment. The plastics are degraded into the smallest fragments to a size of <5 mm called microplastics. Further, microplastics will accumulate in the water, marine biota, and sediment. Sea cucumbers are deposited feeder and found in the seagrass ecosystem. This study aims to examine the abundance of microplastics in sea cucumbers, which are scattered in seagrass ecosystems in the waters of Bintan Island and the surrounding area. The method used is a purposive random sampling in a seagrass ecosystem area of 100 × 20 meters. The sea cucumbers obtained will then be dissected and observed for their microplastic content. The results showed that the sea cucumber found in the seagrass ecosystem on the Bintan island are Holothuria atra, H. scabra, and Sticopus variegatus. The highest density of sea cucumbers was found in Pengujan waters, with a value of 90 ind/ha. The highest microplastic content in sea cucumbers was found in Pengudang water, with a total of 52 ± 7.68 particles/ind. The dominant type of microplastics is fiber, with a total of 84 particles/ind.
Index of environmental pollution and adaptation of Avicennia marina around the ex-bauxite mining area in Bintan Island
Authors: Azizah D , Lestari F , Susiana  , Kurniawan D , Melany W R , Apriadi T , Murtini S 
Published: January 2022

Abstract
Bintan Island has high bauxite resource potential. However, its utilization is not balanced with efforts to restore ex-mining land. Physical damage includes erosion and sedimentation of red mud along the coast and the surrounding mangrove forest. This study aims to determine environmental pollution based on the accumulation of lead (Pb) and chromium (Cr) in redmud found in mangrove forests around the bauxite ex-mining area and the adaptation of Avicennia marina to heavy metals. This research was conducted from April to December 2020. Research survey and laboratory analysis using Atomic Absorban Spectrophotometry. The results showed that Pb in the sediments and organs of A. marina was higher than Cr. The results showed that the mangrove forest around the bauxite ex-mining area of Bintan Island was contaminated with low levels of Pb and Cr metals (CF<1, PLI<1) and the environment is lightly polluted (0<Igeo<1). Adaptation of A. marina showed that the metal uptake mechanism was rhizofiltration (BCF<1, TF<1, BCF<TF) and the physical condition was slightly damaged. There was no significant effect between Pb and Cr metals in the sediments and organs of A. marina on the stem diameter and tree height (Sig.> 0.05).
In silico analysis of Gracilaria changii proteins for potential bioactive peptides
Authors: Sharmin K N , Amiza M A , Ahmad F , Razali S A , Hashim F 
Published: January 2022

Abstract

Gracilaria changii is a red seaweed species in Malaysia with high protein content (12.57% (dry basis)). Thus, G. changii proteins are potential precursors for producing bioactive peptides. To date, no study has been reported on the potential of G. changii proteins as potential precursors for bioactive peptides. In this study, fourteen G. changii proteins were selected as potential precursors of bioactive peptides using in silico approach. It was found that the most potential bioactivity was dipeptidyl peptidase-IV (DPP IV) inhibitory and angiotensin-I converting enzyme (ACE) inhibitory activities. Papain, ficin and stem bromelain were used for in-silico proteolysis. Stem bromelain was found to be more effective in terms of the release of fragments with a given activity. Furthermore, two tripeptides (ACF and YCL) were screened as novel and promising bioactive peptides. The characteristics of both peptides were also analyzed using PeptideRanker, PepCalc, Peptide Cutter, ToxinPred, AllerTop and AHTpin bioinformatic tools. The bioinformatic tools predicted that both peptides were non-toxic, non-allergen and highly potential. The present work suggests that G. changii can serve as a potential source of bioactive peptides and these findings can provide a basis for future in-vitro and in-vivo study of bioactive peptides from G. changii proteins.
The abundance of coral disease and compromise health in Sabu Raijua Waters, East Nusa Tenggara
Authors: Johan O , Idris  
Published: January 2022

Abstract
Coral die-offs can be caused by several factors, one of which is the infectious coral disease. Currently, limited data and information are available regarding coral diseases abundance and distribution in Indonesia including Sabu Raijua waters, East Nusa Tenggara. This research aimed to investigate the types and abundance of coral disease and determine the compromise health condition on 12 sites in Sabu-Raijua waters on Sawu Marine National Park. The research showed coral conditions varied from bad to poor. There were eight coral disease types, the highest abundance found atromentous necrosis (0.12 col/m2) in station 11 (Menia 1), and nine compromise health with the highest number of CH types was found at station 12 with its abundance from 0.02 to 0.33 col/m2. The disease abundance were classified as low on the sites, no evidence due to environmental factors. However, a regular survey has to be carried out in the area to monitor the progress and incidence of the coral diseases and measure their future impacts on the coral reef ecosystem of the national park.
Antioxidant capacity of dry sea cucumber Holothuria edulis, Pearsonothuria graeffei, and Stichopus herrmanni from Boalemo waters, Gorontalo, Indonesia
Authors: Nursid M , Hadiati D A , Winanto T 
Published: January 2022

Abstract
Sea cucumber was a marine invertebrate from class Holothuroidea and phylum Echinoderm that possessed various bioactive compounds. This study aimed to estimate the antioxidant properties of sea cucumbers and evaluate their antioxidant ability. Ferric Reducing Antioxidant Power (FRAP) and Cupric Reducing Antioxidant Capacity (CUPRAC) assay estimated the antioxidant properties of sea cucumbers, and for control, ascorbic acid and Trolox were used. The samples were dried sea cucumber of Holothuria edulis, Pearsonothuria graeffei, and Stichopus herrmannii from Boalemo, Gorontalo. The three samples had various antioxidant capacities. H. edulis had the highest value, both in FRAP and CUPRAC assay, followed by P. graeffei and S. herrmanni. The FRAP values were 48.47; 28.32; and 11.95 μmol Fe(II), respectively and the CUPRAC values were 6.5; 5.9; and 1.49 μmol Trolox/g extract. The weak antioxidant properties of sea cucumber extract in both methods were most likely related to the absence of phenolic compounds which usually have OH groups and conjugated double bonds. Separation and purification of the crude extract may improve its antioxidant properties. Based on this research, it can be concluded that the antioxidant capacity of H. edulis, P. graeffei, and S. herrmanni using the FRAP and CUPRAC method was weak.
Preliminary study on community’s perception of seagrass restoration on Pari Island, Seribu Islands Regency
Authors: Sjafrie N D M , Triyono  , Zulpikar F , Rahmawati S , Hernawan U E 
Published: January 2022

Abstract
Pari Island is one of the islands located in the Seribu Islands Regency. Seagrasses on this island are scattered almost around the island. However, development on this island is overgrowing, so there is a decrease in the seagrass area. This study aims to determine the community’s perception of the possibility of seagrass restoration on the island. Data collection was conducted in May 2021 through a questionnaire. Respondents were local people of Pari Island. The number of respondents was 104 people consisting of fishers, housewifes, government employees, tourism actors, students, and entrepreneurs. The results showed that, in general, people in Pari Island know the existence of seagrass (99%), understand the functions and benefits of seagrass (100%), and use the biota that lives in the seagrass ecosystem for their lives, as household food needs. Almost all respondents agreed with the seagrass restoration in Pari Island (96%) and voluntarily participated in restoration activities (91%). A total of 90% of respondents agree that there is a regulation on protecting seagrass meadow and say that restoration efforts must involve local communities, Non-Government organizations (NGOs), Research Institutes or Universities, and the Government. Our finding shows that the local community in Pari Island has a deep concern for seagrass restoration.
Screening of the antifungal potential of nudibranch Chromodoris lineolata associated bacteria against Candida albicans
Authors: Wijaya A P , Sabdono A , Sibero M T , Trianto A , Radjasa O K 
Published: January 2022

Abstract
Skin disease is the fourth most common disease caused by infection of opportunistic pathogens on the skin. Skin diseases are generally treated by antibiotic products. However, overuse of antibiotics can increase the resistance of pathogens to various classes of antibiotics. Therefore, the study of new antimicrobial compounds against skin pathogens is urgently needed. This study aims to isolate nudibranch Chromodoris lineolata associated bacteria with antifungal activity against Candida albicans and detect the presence of type I polyketide synthase (PKS I), type II polyketide synthase (PKS II), and non-ribosomal peptide synthetase (NRPS) genes through a molecular approach. A total of 15 bacteria were successfully isolated from nudibranch at Panjang Island and Teluk Awur. Screening of the antifungal activity using an agar plug method showed that 1 isolate namely P.10.6 showed antifungal activity against Candida albicans. The detection of the biosynthetic gene cluster (BGC) showed the absence of BGC in the potential isolate. This finding was suspected due to the production of the antifungal compound from the other biosynthetic pathways. Based on molecular identification through BLAST homology, strain P. 10.6 has been identified as Bacillus stratosphericus.
Multiwalled carbon nanotubes and zinc oxide using a high energy milling method for radar-absorbent
Authors: Kholil Muhamad Abdul , Priyono Priyono , Subagio Agus 
Published: January 2022

Abstract
Radar is a technology that is always used by the military to detect an object because it can determine the shape, size, position, distance, and speed of an object. This enables the national defence system to have anti-radar technology to protect defence equipment or other important defence objects. One way that can be applied is using radar-absorbing material to coat the surface of the object. A good radar-absorbing material is made of a combination of dielectric materials with magnetic materials. MWCNT/ZnO composites were produced by a high energy milling method. The various milling times (0, 1, 3 and 5 h) using HEM on the microwave absorbing properties of the composites has an effect, which was studied. The experimental results show that the optimum microwave absorption ability is reached when the HEM process is carried out for 5 h with a thickness of 2.0 mm. The optimum return loss is −26.4 dB at a frequency of 11.2 GHz and the bandwidth correlative to the return loss is below −10 dB with a frequency greater than 1.5 GHz. When comparing MWCNT/ZnO without HEM treatment, the results show that HEM treatment can also increase microwave absorption properties.
Experimental investigation on mechanical and wear properties of GNP/Carbon fiber/epoxy hybrid composites
Authors: Namdev Anurag , Telang Amit , Purohit Rajesh 
Published: January 2022

Abstract
In this research, carbon fiber and Graphene nanoplatelets (GNP) of different weight percentages of GNP (0, 0.1,0.3, and 0.5 wt%) reinforced hybrid composites were fabricated via hand layup technique followed by compression molding. For wear analysis to understand the correlation between control parameters (wt% of filler, normal load, velocity, and sliding distance) and response measurements (weight loss), the design of experiments and analysis of variance (ANOVA) is used. The control variables such as normal loads (5, 10, 15, and 20 N), velocity (1, 2, 3 and 4 m s−1), and sliding distance (200, 300, 400, and 500 m) are selected for the research. It was observed that 0.5 wt% GNP-filled carbon fiber/epoxy composite shows higher tensile and flexural strength than another composite. It has been discovered that adding GNP reduces the wear in terms of weight loss. Scanning electron microscopy (SEM) was used to examine composites’ worn surfaces. The analysis concluded that experimental results are closer to optimum results.