bluuebunny/crossref_metadata_2025_split huggingface dataset:
Semi-Supervised Few-shot Image Classification Based on Subspace Learning
Authors: Wang Jiayan , Li Zongmin , Qiao Xujian , Liu Baodi , Zhao Yu 
Published: January 2022

Abstract
Few-shot image classification is an image classification technology that uses minimal sample data to train the classifier or classification network and achieves a sure classification accuracy. Compared with the image classification technology based on big data, it has the advantages of an unlimited number of samples and fast processing speed. The purpose of subspace learning is to learn good mapping. This mapping maps high-dimensional image data from visual to low-dimensional semantic information space, which is convenient for information recognition, processing, and classification. Therefore, this paper proposes to use the subspace learning method to extract image features. On this basis, studies semi-supervised few-shot image classification, the self-training semi-supervised algorithm is improved to overcome the performance degradation caused by adding wrong pseudo label samples to the self-training algorithm. It is trained and tested on four mainstream few-shot learning datasets. It has a specific significance for the research and development of few-shot image classification.
Identification of Gut Flora Based on Robust Support Vector Machine
Authors: Wang Xinxin , Liu Jingjing , Ma Liya 
Published: January 2022

Abstract
Gut flora parasitize the human gastrointestinal tract to maintain normal physiological functions, but can also lead to a variety of diseases and affect mental health. The relationship between gut flora and human health has attracted increasing attention and become a popular research hotspot at present. However, biological data are often characterized by large size and high dimensionality, leading to limited ability of traditional statistical-based methods to handle these data and make them difficult to analyze. In this paper, we use a support vector machine (SVM) model to perform data mining analysis on the Gut flora dataset. Specifically, we build a robust SVM model to compare the gut flora of obese and healthy people based on the public database of the American Gut Project, analyze the characteristics of the gut flora of obese people, and set up a machine learning model to predict the obesity status of people based on the gut flora to provide a theoretical basis for obesity intervention based on the gut flora. Different from the traditional support vector machine model, we use ramp loss to calculate the sample loss, avoid the influence of noise data, and get more accurate experimental results. The experimental results reveal the characteristics of the gut flora of obese people, apply machine learning to obesity prediction, and provide new research ideas and theoretical basis for precision diet and precision medicine.
Attention-based CNNs for Image Classification: A Survey
Authors: Zheng Menghua , Xu Jiayu , Shen Yinjie , Tian Chunwei , Li Jian , Fei Lunke , Zong Ming , Liu Xiaoyang 
Published: January 2022

Abstract
Deep learning techniques as well as CNNs can learn power context information, they have been widely applied in image recognition. However, deep CNNs may reply on large width and large depth, which may increase computational costs. Attention mechanism fused into CNNs can address this problem. In this paper, we summary an attention mechanism acts a CNN for image classification. Firstly, the survey shows the development of CNNs for image classification. Then, we illustrate basis of CNNs and attention mechanisms for image classification. Next, we give the main architecture of CNNs with attentions, public and our collected datasets, experimental results in image classification. Finally, we point out potential research points, challenges attention-based for image classification and summary the whole paper.
Socio-economic assessment of riverbank erosion from heavy boat traffic: A case study at the Cho Gao Canal, Tien Giang, Vietnam
Authors: Anh H H , Thuy N N 
Published: January 2022

Abstract
Cho Gao canal is the only inland waterway channel for river transport with large tonnage transporting rice, agricultural products, and goods from the Mekong Delta to Ho Chi Minh City. However, big waves from heavy boat traffic have been gradually wearing away the riverbanks, creating severe erosion and affecting local communities livelihood and safety. This study assessed the vulnerability of riverbank erosion in the Cho Gao canal using a quantified erosion index and the contingent valuation method. The data was collected from 120 households living along the canal. The calculation revealed that 76.67% of the households had moderate erosion vulnerability, which will become higher in the future unless government interventions are made. Besides, this paper also examined people willingness to accept (WTA) to compensate for the losses from riverbank erosion. On average, each household along the canal accepted 503.4 million VND (around 21,872.78 USD) of compensation to pay for their suffered losses. Factors influencing people’s WTA were erosion affected levels, income, and age. People living along the Cho Gao canal have been experiencing damages from riverbank erosion since 2009, so there is a demand for state interventions to alleviate the problem and re-stabilize local communities’ livelihood.
The effect of mangrove types and leave maturity on the mangrove leaves (Sonneratia alba) and (Rhizophora mucronata) tea powder
Authors: Sumartini  , Ratrinia P W , Hutabarat R F 
Published: January 2022

Abstract
Mangrove leaves are green plants that have high antioxidant potential and bioactive compounds such as flavonoids, alkaloids/tannins, phenols, catechins, saponins, triterpenoids, and many other compounds. The growing’s place and environment, mangrove leaf species, and mangrove leaf age. Based on the many properties of the two types of mangroves, mangrove leaves have the potential to be used as raw materials for making alternative drinks such as tea. The research method used is an experimental design with a completely randomized design (CRD) with a factorial pattern with 2 factors (Rhizophora sp. leaves & extracts). Sonneratia sp.) and 2 test levels (old and young leaves). The results showed that mangrove leaf tea has the potential to be used as an alternative drink with high antioxidant activity (strong-very strong) with an IC50 value in the range of 49.76-50.12 with the highest antioxidant activity value obtained by leaves. Rhizophora mucronata (RM2) tea with old leaves as raw material.
The economic marine tourism based on cleanliness health safety and environment (CHSE) protocol as covid-19 outbreak responses at Derawan Island, Indonesia
Authors: Utami P B , Parluhutan D , Taryono K , Auliansyah  , Simarangkir O R , Ricky  , Nani  
Published: January 2022

Abstract
Popular tourism activities at Derawan Island are snorkelling and diving. The Covid-19 outbreak led these activities down and reduced visitors and income for restaurant, lodging, and diving center business units. The Ministry of Tourism and Creative Economic of Indonesia (KEMENPAREKRAFT) issued a new regulation to suppress the pandemic’s adverse impact specifically designed for New Normal Tourism with CHSE. They created new trouble in business units’ cash flow. It requires financial incentives and stimuli for its stability. This study assessed the tourists’ WTP, evaluation using the CVM, which covered the cash flow with three schemes. The value of the WTP substituted to financial analysis and looked at the number of BEP. WTP value for each person was US$ 2.97, or about US$ 190,636.28 - 288,677.80 in a year. If the cash flow did not reach the BEP, it would have proposed the financial stimuli to be submitted to related stakeholders. The restaurant was the most business unit that needed several financial incentives. Restaurants faced difficulties to reach BEP in three schemes, and they needed around US$ 170,422.54 - 247,323.94 in a year for over 20 restaurants.
Carrying capacity studies of marine tourism during COVID-19 pandemic in Derawan Island, Berau, East Kalimantan
Authors: Simarangkir O R , Tawang F , Irwan  , Utami P B , Ricky  , Nani  , Kodiran T 
Published: January 2022

Abstract
The COVID-19 pandemic has forced all sectors to adapt to new habits including the tourism sector. The research examines the carrying capacity of a particular area, especially marine tourism areas used for diving and snorkelling. Thus, the results can be used in the management of marine tourism in the new normal period. This research was conducted by survey and analyzed by the carrying capacity marine tourism formula. The research was carried out at six diving tourism and five snorkelling tourism sites scattered in the waters of Derawan Island. The carrying capacity of diving was 1,611 people/day with an area of 402,704.29 m2, and the carrying capacity of snorkelling was 1,126 people/day with an area of 281,453.29 m2. During the new normal period meaning the carrying capacity applied is 806 people/day for diving areas and 563 people/day for snorkelling areas. The utilization of marine tourism on Derawan Island is still sustainable because the number of tourist visits is smaller than the carrying capacity.
Study of changes in freshness quality of mackerel (Scomberomorus commerson) with extract concentration and variation of mangrove leaves
Authors: Sari R P , Sumartini  
Published: January 2022

Abstract
Mackerel is one of the economic and important commodities, but fresh mackerel is a perishable food product that can rot easily. Deterioration in fish quality is inevitable and occurs very quickly in wet products that have high water and protein content. The main cause of fish deterioration process is by the microbial activity found in its body which quickly occurs after dies. The research method used was an experimental design with a completely randomized design (CRD) with 2 factors of factorial pattern (Rhizophora sp. Leaf Extract & Avicennia sp Leaf Extract) and 3 test levels (2%, 3%, and 4%). The aim of its study is to determine the potential of mangrove leaves and the types of phytochemical compounds contained in them and their effectiveness in inhibiting the rate of fish decay. The results that mangrove leaf extract could increase the organoleptic value and inhibit the rate of fish spoilage compared to samples without the addition of mangrove leaf extract. The best treatment was obtained by samples with Rhizophora sp mangrove leaf extract by 4% because it could maintain freshness and safe limits for consumption for 8 hours of storage in room temperature compared to control which was only 4 hours.
Aliphatic polyester biodegradation by coral-associated bacteria from Karimunjawa Marine National Park, Java Sea
Authors: Widyananto P A , Muchlissin S I , Radjasa O K , Sabdono A 
Published: January 2022

Abstract
Plastic waste is one of the environmental pollutants that is difficult to degrade. The spread of plastic waste is almost everywhere even in the ocean, especially in coral reef ecosystem. Non-degradable plastic like polyethylene, polypropylene, and polystyrene begins to be partially replaced with biodegradable plastic materials (i.e polycaprolactone) as a strategy to reduce non-degradable polymer materials. Hence, this study aims is to find the potential of polycaprolactone biodegradation from coral associated-bacteria from Karimunjawa National Park. Coral samples were isolated in July 2020 from areas with influence by anthropogenic. Bacterial isolates were screened using tributyrin and polycaprolactone as substrates to reveal potential polyester degradation enzymes. The result obtained only one active bacterial isolate that potential to degrade polycaprolactone from a total of 18 isolates bacteria. LBB 2 showed that strain can degrade polycaprolactone by 8 days incubation period with 4 days in room temperature and 4 days in a 4°C incubation room. Bacterial identification by 16S rRNA sequences showed that strain LBB 2 refers to the bacteria Bacillus subtilis. The similarity level in the database of National Center Biotechnology Information by 99.45%. These results prove that associated bacteria from stony coral might play a role in degrading aliphatic polyesters.
Effect of cold treatment process on roundness of bearing ring
Authors: Shao Yiyu , Peng Wenfei , Chen Shaoqiang 
Published: January 2022

Abstract
In the heat treatment of the bearing ring, due to the different degree of thermal expansion of the outer surface and inner metal of the bearing ring, and the large thermal stress and tissue stress generated in the ring, resulting in serious deformation of the ring in the diameter direction and increased roundness error. For these problems, the heat treatment test of the bearing ring was carried out, with the cold treatment process added to the heat treatment. The effect of cold treatment on the residual stress, retained austenite and roundness of the bearing ring was analyzed. The research results show that: because the degree of deformation of the bearing ring is affected by the residual stress, the cold treatment process can significantly improve the residual stress on the bearing ring surface and reduce the deformation. The cold treatment process can accelerate the transformation from retained austenite to martensite in the bearing ring, reduce the content of retained austenite, refine the martensite structure and promote the precipitation of network carbide. The cold treatment after quenching also can improve the roundness accuracy of the bear outer ring and the bearing ring raceway, and ensure the processing quality and dimensional stability, which will be a significant benefit in industrial applications.
Effects of the Continuation Task and the RCC Task on Japanese as a Foreign Language Vocabulary Learning
Authors: Zhang Xiaoyan , Du Lina , Zhu Xinyu 
Published: January 2022

Abstract
This study examined the effects of the continuation task and the reading plus continued cloze (RCC) task on Japanese as a foreign language (JFL) vocabulary learning with a view to shedding fresh light on the relationship among depth of processing, interaction, alignment, and learning effects. Three classes of beginning-level JFL learners were randomly assigned to a continuation group, a RCC group, and a control group. A meaning recall test and an oral form recall test were used to gauge vocabulary learning gains. It was found that (i) both tasks led to significant immediate and long-term gains on both the oral form test and the meaning test and (ii) the continuation task showed superiority over the RCC task in promoting JFL vocabulary learning. Implications of these results for JFL vocabulary teaching are discussed.
MODalyseR—a novel software for inference of disease module hub regulators identified a putative multiple sclerosis regulator supported by independent eQTL data
Authors: de Weerd Hendrik A , Åkesson Julia , Guala Dimitri , Gustafsson Mika , Lubovac-Pilav Zelmina 
Published: January 2022

AbstractMotivationNetwork-based disease modules have proven to be a powerful concept for extracting knowledge about disease mechanisms, predicting for example disease risk factors and side effects of treatments. Plenty of tools exist for the purpose of module inference, but less effort has been put on simultaneously utilizing knowledge about regulatory mechanisms for predicting disease module hub regulators.ResultsWe developed MODalyseR, a novel software for identifying disease module regulators and reducing modules to the most disease-associated genes. This pipeline integrates and extends previously published software packages MODifieR and ComHub and hereby provides a user-friendly network medicine framework combining the concepts of disease modules and hub regulators for precise disease gene identification from transcriptomics data. To demonstrate the usability of the tool, we designed a case study for multiple sclerosis that revealed IKZF1 as a promising hub regulator, which was supported by independent ChIP-seq data.Availability and implementationMODalyseR is available as a Docker image at https://hub.docker.com/r/ddeweerd/modalyser with user guide and installation instructions found at https://gustafsson-lab.gitlab.io/MODalyseR/.Supplementary informationSupplementary data are available at Bioinformatics Advances online.
RawHummus: an R Shiny app for automated raw data quality control in metabolomics
Authors: Dong Yonghui , Kazachkova Yana , Gou Meng , Morgan Liat , Wachsman Tal , Gazit Ehud , Birkler Rune Isak Dupont 
Published: January 2022

Abstract

Motivation
Robust and reproducible data is essential to ensure high-quality analytical results and is particularly important for large-scale metabolomics studies where detector sensitivity drifts, retention time and mass accuracy shifts frequently occur. Therefore, raw data need to be inspected before data processing to detect measurement bias and verify system consistency.

Results
Here, we present RawHummus, an R Shiny app for an automated raw data quality control (QC) in metabolomics studies. It produces a comprehensive QC report, which contains interactive plots and tables, summary statistics and detailed explanations. The versatility and limitations of RawHummus are tested with 13 metabolomics/lipidomics datasets and 1 proteomics dataset obtained from 5 different liquid chromatography mass spectrometry platforms.

Availability and implementation
RawHummus is released on CRAN repository (https://cran.r-project.org/web/packages/RawHummus), with source code being available on GitHub (https://github.com/YonghuiDong/RawHummus). The web application can be executed locally from the R console using the command ‘runGui()’. Alternatively, it can be freely accessed at https://bcdd.shinyapps.io/RawHummus/.

Supplementary information
Supplementary data are available at Bioinformatics online.
Biographical work and the production of credibility in sex work interviews
Authors: Gheorghiu Iulia , Ham Julie 
Published: January 2022

AbstractThis article explores the concept of biographical work as a sustained pursuit during interviews with persons engaging in stigmatized and criminalized work. Based on interviews with women engaging in sex work and intimate economies in Hong Kong, the article examines the research interview as an interactional and institutional encounter where interviewer and interviewee jointly create meaning and articulate experiences to produce credibility. Relying on the sex workers’ rights framework and its adjacent debates, the article argues that social theory and critique construct reality by shaping public discourse and moral sensitivities in institutional encounters and act as moral resources that inform positionalities. The article argues for the importance of attending to both interactional and institutional demands made by interview encounters in data interpretation.
Intrinsic blood–brain barrier dysfunction contributes to multiple sclerosis pathogenesis
Authors: Nishihara Hideaki , Perriot Sylvain , Gastfriend Benjamin D , Steinfort Marel , Cibien Celine , Soldati Sasha , Matsuo Kinya , Guimbal Sarah , Mathias Amandine , Palecek Sean P , Shusta Eric V , Pasquier Renaud Du , Engelhardt Britta 
Published: January 2022

Abstract
Blood–brain barrier (BBB) breakdown and immune cell infiltration into the CNS are early hallmarks of multiple sclerosis (MS). The mechanisms leading to BBB dysfunction are incompletely understood and generally thought to be a consequence of neuroinflammation.
Here, we have challenged this view and asked if intrinsic alterations in the BBB of MS patients contribute to MS pathogenesis. To this end, we made use of human induced pluripotent stem cells derived from healthy controls and MS patients and differentiated them into brain microvascular endothelial cell (BMEC)-like cells as in vitro model of the BBB. MS-derived BMEC-like cells showed impaired junctional integrity, barrier properties and efflux pump activity when compared to healthy controls. Also, MS-derived BMEC-like cells displayed an inflammatory phenotype with increased adhesion molecule expression and immune cell interactions. Activation of Wnt/β-catenin signalling in MS-derived endothelial progenitor cells enhanced barrier characteristics and reduced the inflammatory phenotype.
Our study provides evidence for an intrinsic impairment of BBB function in MS patients that can be modelled in vitro. Human iPSC-derived BMEC-like cells are thus suitable to explore the molecular underpinnings of BBB dysfunction in MS and will assist in the identification of potential novel therapeutic targets for BBB stabilization.
Spatiotemporal patterns of population response in the visual cortex under isoflurane: from wakefulness to loss of consciousness
Authors: Margalit Shany Nivinsky , Golomb Neta Gery , Tsur Omer , Ben Yehoshua Eve , Raz Aeyal , Slovin Hamutal 
Published: January 2022

Abstract
Anesthetic drugs are widely used in medicine and research to mediate loss of consciousness (LOC). Isoflurane is a commonly used anesthetic drug; however, its effects on cortical sensory processing, in particular around LOC, are not well understood. Using voltage-sensitive dye imaging, we measured visually evoked neuronal population response from the visual cortex in awake and anesthetized mice at 3 increasing concentrations of isoflurane, thus controlling the level of anesthesia from wakefulness to deep anesthesia. At low concentration of isoflurane, the effects on neuronal measures were minor relative to the awake condition. These effects augmented with increasing isoflurane concentration, while around LOC point, they showed abrupt and nonlinear changes. At the network level, we found that isoflurane decreased the stimulus-evoked intra-areal spatial spread of local neural activation, previously reported to be mediated by horizontal connections, and also reduced intra-areal synchronization of neuronal population. The synchronization between different visual areas decreased with higher isoflurane levels. Isoflurane reduced the population response amplitude and prolonged their latencies while higher visual areas showed increased vulnerability to isoflurane concentration. Our results uncover the changes in neural activity and synchronization at isoflurane concentrations leading to LOC and suggest reverse hierarchical shutdown of cortical areas.
Advancing policy frameworks to safeguard financial stability in developing and emerging economies: the case of South Korea’s management of international financial flows after 1998
Authors: Nagel Max 
Published: January 2022

Abstract
Financial liberalisation can promote economic development in developing and emerging economies (DEEs). Especially international financial flows pose risks to the stability of their financial system though, as recurrent foreign debt crises in DEEs show. How can DEEs benefit from international financial flows while safeguarding financial stability? The case of South Korea shows how DEEs can develop domestic policy frameworks to manage international financial flows while maintaining a high degree of financial openness. With the experience of the foreign debt crisis of 1997/98 in mind, Korean policymakers have interlinked policies (monetary policy, foreign exchange policy and financial regulation), public financial institutions and the development of domestic capital markets to develop a financial stability-oriented policy framework that has served as protection against risks attached to international financial flows. While this policy change substantiates a turn towards a finance-led accumulation regime, the case of Korea illustrates that DEEs are not passive bystanders in financialisation processes.