bluuebunny/crossref_metadata_2025_split huggingface dataset:
Haptic feature selection using Statistical Analysis for Haptic Object Reconstruction
Authors: Dewapura Praveena Wimarshani , Abeykoon A. M. Harsha S. 
Published: June 2023

Abstract
Object reconstruction in the haptic dimension is crucial in achieving realization
in the virtual world. Prior studies have employed the conventional spring damper
model to interpret object behavior, with motion parameters being the main deter-
minant of force feedback. However, haptic information is nonlinear and more
factors could influence haptic feedback recreation than just motion parameters.
In recent years, scientists have paid much attention to employing AI technologies
with haptics. AI approach is data-driven, and a thorough understanding of the
data is critical to its performance. As a result, a detailed statistical analysis is
required to discover patterns and relationships within the features and identify
significant features as utilizing all the factors affecting haptic object reconstruc-
tion will cost higher computational time and resources. Thus, this study focused
on statistically analyzing data extracted through a Disturbance Observer (DOB)
and Reaction Force Observer (RFOB) based sensorless technique and selecting
the significant features to reconstruct an object in a haptic dimension precisely.
Furthermore, a mathematical notation was introduced to define a feature and the
feature matrix was derived using the notation. Finally, the performance of an AI
algorithm was then compared using different feature inputs to the AI model to
understand the effect of the feature matrix.
Pollution Assessment of Selected Heavy Metals in Irrigation Water
Authors: Shah Sha Md. Shahan , Munshi Meghla , Islam Md. Jahidul , Mollah Md. Mahtab Ali , Zakir Hossain Mohammad , Salam Sayed M A 
Published: June 2023

Abstract

Irrigation water is an important factor in proper crop production. Thus irrigation water plays a vital role in food safety and security. This study, therefore, focuses on the estimation of the concentration of four heavy metals in irrigation water along with their pollution assessments. The concentration of heavy metals found in this study followed the order of Mn (0.0913-0.3701 mg/L) > Pb (0.0211-0.2104 mg/L) > Cd (0.0004-0.0222 mg/L) > Cr (0.00105-0.00937 mg/L). In a few cases, the concentrations of heavy metals exceed the permissible limit for irrigation water recommended by the Food and Agricultural Organization. Pollution assessments were carried out using the enrichment factor, geoaccumulation index, contamination factor, and modified degree of contamination. This study revealed that the enrichment factor for lead and chromium showed no enrichment, whereas cadmium showed minor to moderate enrichment, and manganese was used as a reference element. The geoaccumulation index and contamination factor demonstrate that lead and chromium were uncontaminated, but manganese and cadmium denote moderate contamination. The modified degree of contamination indicated nil to the lower degree of contamination for all samples. Proper steps by the government and different organizations should be taken to identify the reasons for their sources, and appropriate techniques should be implemented to reduce their concentrations.
Risk factors for psychological distress in the general population of Japan: A nationally representative survey
Authors: Hanaoka Shimpei , Matsumoto Kunichika , Hirata Toyoaki , Hasegawa Tomonori 
Published: June 2023

Abstract
Background
Psychological distress in the general population in Japan has not been analyzed. This study is the first to examine risk factors for psychological distress in the general population using official statistics available to researchers.
Methods
The anonymous data of the 2013 National Survey of Living Conditions were used. Binomial logistic analysis was conducted incorporating age, marital status, living arrangements, education, household income, working status, smoking, and drinking as independent variables and the low and high-risk groups for psychological distress (K6 scale) as dependent variables, differentiating by gender.
Results
The odds ratios (OR)were lower for both genders aged 60 years and older (men, 0.21–0.23; women, 0.28–0.40), while they were higher for respondents of both genders who were unemployed (men, 3.16; women, 3.42). In addition, never-married (1.65), being in the third-highest household income quantile (1.71), doing mainly housework (2.66) and abstainers from alcohol (1.70) among men and having a middle level of education (1.58), receiving the lowest quantile of household income (1.54), and smoking (1.91) among women were risk factors that increased the odds ratios. By contrast, moderate drinker (0.51) and abstainer (0.64) were risk factors that decreased the odds ratio for women.
Conclusions
For the first time, the risk factors for psychological distress in a general population were identified using nationally representative survey data. Further studies are needed to analyze the above high-risk groups to identify reasonable measures for mental health promotion. We hope this current study will lead to further study in Japan.
Endoscopic ultrasonography-guided gastroenterostomy versus surgical gastrojejunostomy for palliation of malignant gastric outlet obstruction (ENDURO): study protocol for a randomised controlled trial
Authors: de Pavert Yorick L. van , Kastelijn Janine B. , Besselink Marc G. , Fockens Paul , Voermans Rogier P. , Wanrooij Roy L.J. van , de Wijkerslooth Thomas R. , Curvers Wouter L. , de Hingh Ignace H.J.T. , Bruno Marco J. , Koerkamp Bas Groot , Patijn Gijs A. , Poen Alexander C. , Hooft Jeanin E. van , Inderson Akin , Mieog J. Sven D. , Poley Jan-Werner , Bijlsma Alderina , Lips Daan J. , Venneman Niels G. , Verdonk Robert C. , Dullemen Hendrik M. van , Hoogwater Frederik J.H. , Frederix Geert W.J. , Molenaar I. Quintus , Welsing Paco M.J. , Moons Leon M.G. , Santvoort Hjalmar C. van , Vleggaar Frank P. 
Published: June 2023

Abstract
Background
Malignant gastric outlet obstruction (GOO) is a debilitating condition that frequently occurs in patients with malignancies of the distal stomach and (peri)ampullary region. The standard palliative treatment for patients with a reasonable life expectancy and adequate performance status is a laparoscopic surgical gastrojejunostomy (SGJ). Recently, endoscopic ultrasound-guided gastroenterostomy (EUS-GE) emerged as a promising alternative to the surgical approach. The present study aims to compare these treatment modalities in terms of efficacy, safety, and costs.
Methods
The ENDURO-study is a multicentre, open-label, parallel group randomised controlled trial. In total, ninety-six patients with gastric outlet obstruction caused by an irresectable or metastasized malignancy will be 1:1 randomised to either SGJ or EUS-GE. The primary endpoint is time to tolerate at least soft solids. The co-primary endpoint is the proportion of patients with persisting or recurring symptoms of gastric outlet obstruction for which a reintervention is required. Secondary endpoints are technical and clinical success, quality of life, gastroenterostomy dysfunction, reinterventions, time to reintervention, adverse events, quality of life, time to start chemotherapy, length of hospital stay, readmissions, weight, survival, and costs.
Discussion
The ENDURO-study assesses whether EUS-GE, as compared to SGJ, results in a faster resumption of solid oral intake and is non-inferior regarding reinterventions for persistent or recurrent obstructive symptoms in patients with malignant GOO. This trial aims to guide future treatment strategies and to improve quality of life in a palliative setting.
Trial registration
International Clinical Trials Registry Platform (ICTRP): NL9592. Date of registration: 2021-07-07
Williamson liquid flow over a stretching cylinder using modified Fick’s and Fourier law
Authors: khan Ambreen afsar , mir shafaa , zaman Akbar 
Published: June 2023

Abstract
The present execution is devoted to discusse the flow of Williamson fluid over a stretching cylinder with the scintillating impact of magnetic field and the convective boundary conditions are also implemented. Beside this, the modified heat flux and modified mass flux model are also considered in this problem. The ODEs are retreived from the brace of PDEs by using the appropriate similarity transformations. Shooting method collaborates with RK method is used to solve the current problem numerically. Influence of numerous flow parameters on temperature profile, velocity profile and concentration profile are shown graphically in this article. Results explain that concentration and temperature profiles enhance due to rising mass and heat Biot number parameters. The current results are compared with existing results and have shown an excellent agreement.
Enformer: An encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records
Authors: Yang Zhichao , Mitra Avijit , Liu Weisong , Berlowitz Dan , Yu Hong 
Published: June 2023

Abstract
Deep learning transformer-based models using longitudinal electronic health records (EHRs) have shown a great success in prediction of clinical diseases or outcomes. Pretraining on a large dataset can help such models map the input space better and boost their performance on relevant tasks through finetuning with limited data. In this study, we present Enformer, a generative encoder-decoder model with transformer that was pretrained using a new pretraining objective - predicting all diseases and outcomes of a patient at a future visit from previous visits. Enformer’s encoder-decoder framework, paired with the novel pretraining objective, helped it achieve the new state-of-the-art (SOTA) performance on multiple clinical prediction tasks. Comparing with the previous SOTA model, Enformer improved area under the precision–recall curve (AUPRC) by 2% (p<0.001) for pancreatic cancer onset and by 24% (p<0.001) for intentional self-harm in patients with PTSD. The high performance in predicting intentional self-harm shows the potential of Enformer in building effective clinical intervention systems. Enformer is also generalizable and can be easily finetuned for clinical prediction tasks with limited data.
Study on the rumor detection of social media in disaster based on multi-feature fusion method
Authors: Li Shaopan , Wang Yan , Huang Hong , Zhou Yiqi 
Published: June 2023

Abstract
In recent years, there is a significant increase in research combining social media data for disaster warning and damage assessment. When natural disasters occur, social media data can also contain rumors, which not only reduce the accuracy of assessment but also have a very negative social impact. In this paper, a multi-feature fusion neural network with attention mechanism is proposed for rumor detection, which makes the attempt to integrate user, textual and propagation features in one united framework. Specifically, a Bi-directional Long Short Term Memory Network (Bi-LSTM) is applied to extract user and textual features and a Graph Convolutional Neural Network (GCN) is employed to extract the high-order propagation features. In addition, both the complementary and alignment relationships between different features are considered to achieve better fusion. It shows that our method can detect rumors effectively and perform better than previous methods on the Weibo dataset. To validate the effectiveness of our model, rumor detection is conducted in the social media data collected from Typhoon Lekima on Aug 10th- 14th 2019 in China, the earthquake of magnitude 6.8 on Sep 5th- 9th, 2022 in Sichuan, China, the wildfire on Aug 15th- 26th, 2022 in Chongqing, China. Results show that: 1) the proposed method performs well in rumor detection in disaster; 2) rumors often appear along with hot topics; 3) rumors express much negative sentiment; 4) rumor propagation networks have tighter structure and deeper propagation depth. 5) rumors account for a relatively small percentage of social media data in disaster, which means that most social media data is credible.
Labelling of RPA amplicons: an experimental comparison between primer and nucleotide labelling used for multiplex detection of antibiotic resistance genes
Authors: Warmt Christian , Broweleit Lisa-Marie , Fenzel Carolin Kornelia , Henkel Jörg 
Published: June 2023

Abstract
Direct labelling of amplification products using isothermal amplification is currently done most frequently by incorporating previously labelled primer. Although this method is well proven and widely used, it is not a universal solution due to some weaknesses. Alternatively, labelled nucleotides could be used, whose application and functionality have been already partially demonstrated. It remains to be determined how this method performs in comparison to traditional labelling, in particular combined with isothermal amplification methods. In this work, we show a detailed analysis of the labelling efficiency under different conditions and compare the results with the traditional primer-labelling method in the context of RPA amplification. Impressively, our results showed that using Cy5-labelled dUTPs can achieve much more efficient labelling for fragments above 200 bp, while using them for smaller fragments does not bring any relevant disadvantages, but also no major benefit. Furthermore, this work successfully demonstrate for the first time a quadruplex microarray for the detection of resistance genes using RPA and direct labelling with Cy5-dUTP as a potential application scenario. The sensitivities achieved here extend to SNP discovery for the detection of the proper blaKPC variant.
Community detection with greedy modularity disassembly strategy
Authors: Rustamaji Heru Cahya , Kusuma Wisnu Ananta , Nurdiati Sri , Batubara Irmanida 
Published: June 2023

Abstract
One of the problems in networking is community detection, the process of identifying groups of nodes in a network that are more densely connected than the rest of the network. To measure the quality of community detection in the network using modularity. Greedy modularity is one of the community detection algorithms. It optimizes the modularity score locally at each step rather than globally optimizing over all possible network partitions. However, because the algorithm makes local improvements, it can be trapped in a suboptimal network partition. In this research, we developed the Greedy Modularity algorithm by adding an exploration method: a disassembly node and disassembly community formed to increase modularity. There are four strategies for disassembly nodes: disassembly random nodes, weak nodes, nodes with low embeddedness values, and releasing nodes that do not form triads. The disassembly community strategy includes random communities, weak communities, communities with low internal edge density, communities with low triad participation ratio, and communities with low conductance. The results show increased modularity in various real-world and synthetic network datasets. We also compared the results with various community detection algorithms, and the modularity ranking of these algorithms were in positions 1-8 across various datasets.
A Multilevel and Multicenter Assessment of Health Care System Capacity to Manage Cardiovascular Diseases in Africa: A Baseline Study of the Ghana Heart Initiative
Authors: Doku Alfred , Tuglo Lawrence Sena , Chilunga Felix , Edzeame Juliette , Peters Ron J.G. , Agyemang Charles 
Published: June 2023

Abstract
Introduction:
Cardiovascular diseases (CVD) remain the leading cause of death worldwide, with over 70% of these deaths occurring in low- and middle-income regions such as Africa. However, most countries in Africa do not have the capacity to manage CVD. The Ghana Heart Initiative has been an ongoing national program since 2018, aimed at improving CVD care and thus reducing the death rates of these diseases in Ghana. This study therefore aimed at assessing the impact of this initiative by identifying, at baseline, the gaps in the management of CVDs within the health system in order to develop robust measures to bolster CVD management and care in Ghana.
Methods
This study employed a cross-sectional study design and was conducted from November 2019 to March 2020 in 44 health facilities in the Greater Accra region. The assessment covered CVD management, equipment availability, knowledge of health workers in CVD and others including CVD management support system, availability of CVD management guidelines and CVD/NCD indicators in the District Health Information Management System (DHIMS2). Data were analyzed using SPSS Version 25.
Results
The baseline data showed a total of 85,612 outpatient attendants over the period in the study facilities, 70% were women and 364(0.4%) were newly diagnosed with hypertension. Eighty-three percent (83%) of the newly diagnosed hypertensives were put on treatment, 56.3% (171) continued treatment during the study period and less than 10% (5%) had their blood pressure controlled at the end of the study (in March, 2020). Other gaps identified included suboptimal health worker knowledge in CVD management (mean score of 69.0 ± 13.0, p < 0.05), lack of equipment for prompt CVD emergency diagnosis, poor management and monitoring of CVD care across all levels of health care, lack of standardized protocol on CVD management, and limited number of indicators on CVD in the National Database (i.e., DHIMS2) for CVD monitoring.
Conclusion
This study shows that there are gaps in CVD care and therefore, there is the need to address such gaps to improve the capacity of the health system to effectively manage CVDs in Ghana.
Synchronous Chanting in Indonesian Social Movement Repertoires: A Tool for Emoting and for Manipulating Emoters
Authors: Angkasa William 
Published: June 2023

Abstract
Chanting has been in existence for thousands of years and thought to emerge as a way to convey information about visceral and affective states. Chanting synchronously allows participants to synchronize their actions and affective states for it requires them to actively and coordinatively participate in it. This phenomenon can be observed in various social rituals across times and cultures all around the world, including in social movement repertoires, such as demonstrations and street protests. Since emotions play a pivotal role in social movements, it is useful to gain insights into how chanting can be used as a “tool” for emoting and evoking emotions during social movement repertoires. For that purpose, the lens of situated cognition and affectivity is used to analyze how activists' interactions during occurrences of synchronous chanting facilitate distributed emotions amongst the participating chanters.
Looking at cases of social movements in Indonesia, a multi-ethnic nation-state, which has its own demonstration culture embedded in its sociocultural-historical context, it is argued that synchronous chanting as an emoting tool is coupled to Indonesian activists of various groups. Some of these chants even date back to more than two decades ago, beginning when Indonesian youth fought against the despotic regime of President Suharto and his New Order, to hundreds of years ago when the founding fathers fought against colonialism. Based on the said framework, the analysis concludes that synchronous chanting can be used as a tool for not only emoting but also manipulating people.
Chitosan encapsulated Naringenin promotes ROS mediated apoptosis in human breast cancer cell MDA-MB-231 through the activation of executioner Caspase-3
Authors: KT Ramya Devi , Jaganathan MK , Karthick Dharshene , Ganesh  
Published: June 2023

Abstract
We previously reported that chitosan nanoparticles encapsulated Naringenin (CS-NPs/NAR) could scavenge free radicals at lower doses and cytotoxic to cancer cells. As a continuation of that, the current study focuses on the mechanism behind CS-NPs/NAR-induced breast cancer cell (MDA-MB-231) death. MDA-MB-231 cells were treated with higher concentrations (100µg, 200 µg, and 200 µg) of Chitosan nanoparticles (CS-NPs), naringenin (NAR) and chitosan encapsulated naringenin (CS-NPs/NAR). The cell viability, proliferation, oxidative stress parameters such as nitric oxide [NO], xanthine oxidase (XOD), and xanthine dehydrogenase (XDH) levels were analyzed. ROS levels were determined through DCFDA analysis. MTT based cell cytotoxicity and BrdU cell proliferation analysis depicted the cytotoxicity effects (37% and 29% for 24h and 48h) and exhibited a reduction in the proliferation of MDA-MB-231 by CS-NPs/NAR. A significant increase in NO content, XOD, a decrease in XDH, and increase in ROS levels were observed upon treatment with CS-NPs/NAR. Fluorescent images suggested the increase in the ROS level upon treatment with CS-NPs/NAR in cancer cells and the results suggested that it could induce apoptosis. Further, to confirm this, the activity of caspase3 was analyzed through western blotting, and the result suggested that the higher concentration of CS-NPs/NAR has increased the activation of procaspase3 when compared to free NAR. Hence the current investigation concludes that high doses of CS-NPs/NAR induce and increase oxidative stress and so increased activation of procaspase3 may lead to cancer cell apoptosis and reduction in cell proliferation.
Functional properties of ant queen pheromones as revealed by behavioral experiments
Authors: ZENG HAOLIN 
Published: June 2023

Abstract
Ants represent one of the most prominent groups of social animals by virtue of their colony social structure, where up to millions of individuals cooperate to survive, compete, and reproduce as a single superorganism. Members of ant colonies typically are categorized into a reproductive queen caste and a non-reproductive worker caste. The queen conveys her fertility condition and genotypic information via a suite of queen pheromones, which act as agents that manifest various effects crucial to the superorganismal nature of ant colonies. A firm understanding of the functional roles of queen pheromones is required to identify constituent chemicals and to understand their mode of functions. In this review, I summarize functional properties of ant queen pheromones learned from seven decades of behavioral experiments, and contextualize this knowledge within the broader understanding of queen pheromones in other major groups of social insects. The effects include promotion of colony integrity and coherence, maintenance of reproductive dominance of the queen, and regulation of colony social structure. Additionally, general characteristics of queen pheromones are discussed and potential revenues for future research are highlighted.
Multi-Graph Attention Network: Spatiotemporal Traffic Speed Forecasting
Authors: Ke Jiawu , Yu Haisheng , Rong Weixin , Wang Wenguo , Chen Zhixuan 
Published: June 2023

Abstract
Accurate traffic forecasting plays a significant role in alleviating traffic congestion. Existing approaches mainly model the complex spatiotemporal dependencies in the road network based on the characteristics of node data. In this paper, we also take the edge properties and the weekly periodicity of traffic data into account to make traffic speed forecasting more accurate, on the basis of the node properties. Specifically, we propose a multi-graph attention network which is an encoder-decoder architecture, where the encoder encodes multiple input graph signal representations and the decoder produces multiple output sequences of graph signal. Both encoder and decoder contain multiple spatial-temporal aggregation blocks to capture complex spatiotemporal dependencies, utilizing the properties of both node and edge data. Each decoder layer further incorporates a multi-head attention over the outputs of the encoder stack to predict multiple output sequences in parallel, by using multiple graph signal representations in the previous week. This non-autoregressive forecasting mode can alleviate the error propagation. We evaluate the proposed model on two public traffic datasets, METR-LA and PEMS-BAY, and observe better performance than the state-of-the-art baselines in 30, 60-min forecasting horizon. The source code is available at https://github.com/logickkk/MGAT-pytroch (Not yet public).