bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study on the Propagation of Online Public Opinion by Internet Water Army
Authors: Nian Fuzhong , Wang Chongpei , Zhang Duan , Dang Zhongkai 
Published: October 2023

Abstract
In the dissemination of information on the Internet, internet water armies have gradually become an important influencing factor in the direction of public opinion. This paper takes Weibo as the research background, obtains real data, establishes a communication dynamics model, and quantitatively researches the influence of internet water armies on the dissemination of public opinion in social networks. Firstly, this paper obtains real hot events in Weibo, analyzes the number of retweets and comments under the same hot topics, and finds the users of the internet water armies. Secondly, this paper establishes a new social network S S propagation model based on the propagation mechanism among users in Weibo, combining with the SIS infectious disease model, and introducing the impulse effect, the heat effect, and the herd effect, to realize the research of public opinion propagation in Weibo. After that, the S S propagation model is applied to small-world and scale-free networks to simulate the propagation of public opinion in social networks and analyze the influence of internet water armies on the propagation. The experimental results summarize the influence of network water armies on the propagation of public opinion. Finally, the acquisition of real data is utilized to verify the rationality and validity of the model. This paper quantitatively considers the driving nature of internet water armies on the trend of public opinion in the communication dynamics model, which provides a reasonable decision-making basis for the dissemination and control of public opinion in social networks, and has important theoretical and practical significance.
The new definition of metabolic syndrome including hyperuricemia improves its prognostic value: results from NHANES database
Authors: Hao Chuanzhen , Lei Zhijun , Zhang Jiaxin , Hu Qingxiang , Guo Feng , Mo Zongyang , Huang Bo , Liu Chang 
Published: October 2023

Abstract
Background
Metabolic syndrome (MetS) remains a major health problem worldwide and is strongly associated with an elevated risk of cardiovascular disease (CVD). MetS was proposed to identify more high-risk individuals and facilitate early intervention. Hyperuricemia has not been included in the current definition of MetS yet, despite its strong association with MetS. We aimed at exploring the prognostic value of adding hyperuricemia into the definition of MetS.
Methods
Data derived from NHANES (1999–2018) was analyzed. The old version of MetS (MetSold) is consistent to NCEP-ATP III criteria, while the new version of MetS (MetSnew) included hyperuricemia as the sixth criterion. Baseline characteristics were compared between participants with and without MetS, and outcomes were assessed by multivariate analyses.
Results
Of 36,363 participants analyzed, 12,594 (34.6%) and 14,137 (38.9%) met MetSold and MetSnew criteria respectively. Compared to MetSold, MetSnew identified additional 1534 participants with metabolic risk. Both MetSold and MetSnew were significantly associated with long-term all-cause and CVD mortality (all P < 0.001). Furthermore, the additional participants identified by MetSnew displayed the similar risk of all-cause and CVD mortality as participants met MetSold. MetSnew provided a better identification and reclassification ability (all-cause mortality: C-index improvement = 0.06, NRI = 0.03, IDI = 0.55; CVD mortality: C-index improvement = 0.02, NRI = 0.01, IDI = 0.61) when compared with MetSold.
Conclusions
The inclusion of hyperuricemia in the MetS criteria could identify a greater proportion of people at metabolic risk, thereby allowing for early intervention to prevent long-term adverse events.
Virtual Reality in Education: An Emerging Paradigm in Contemporary India
Authors: SWARGIARY KHRITISH 
Published: October 2023

Abstract
Virtual Reality (VR) technology has gained significant traction in educational
settings worldwide, with its potential to revolutionize the learning experience. This experimental research article explores the current landscape of VR in education in India,
focusing on its implementation, challenges, and outcomes. We conducted a comprehensive
study involving educators, students, and VR developers to assess the efficacy of VR
technology in Indian classrooms. Our findings suggest that while VR holds great promise for
enhancing education in India, there are several hurdles that must be overcome to fully harness
its potential.
Stress analysis for a lip-shaped crack in a thermoelectric plate under combined electrical and thermal loadings
Authors: Yu Chuanbin , Du Chaofan , Xing Shichao , Gao Cun-Fa 
Published: October 2023

Abstract
This study focuses on analyzing a slanted lip-shaped crack within a thermoelectric plate that experiences both a temperature gradient and an electric potential gradient. Based on the electrically insulated and thermally permeable crack model, we derive analytical solutions for the thermoelectric field and the associated thermal stress field in the cracked thermoelectric material by employing the complex variable method. Subsequently, we evaluate the stress intensity factors at the tips of the lip-shaped crack. Under the impact of thermoelectric loading, both mode-I and mode-II stress intensity factors occur at the tips of a slanted lip-shaped crack. Numerical examples are provided to demonstrate the influence of crack width, crack angle, and thermal conductivity of the filling medium on the stress intensity factors at the crack tip.
Millimeter-deep micron-resolution vibrational imaging by shortwave infrared photothermal microscopy
Authors: Cheng Ji-Xin , Ni Hongli , Yuan Yuhao , Li Mingsheng , Zhu Yifan , Ge Xiaowei , Yin Jiaze , Dessai Chinmayee Prabhu , Wang Le 
Published: October 2023

Abstract

Deep-tissue chemical imaging plays a vital role in biological and medical applications. Here, we present a shortwave infrared photothermal (SWIP) microscope for millimeter-deep vibrational imaging with sub-micron lateral resolution and nanoparticle detection sensitivity. By pumping the overtone transition of carbon-hydrogen bonds and probing the subsequent photothermal lens with shortwave infrared light, SWIP can obtain chemical contrast from polymer particles located millimeter-deep in a highly scattering phantom. By fast digitization of the optically probed signal, the amplitude of the photothermal signal is shown to be 63 times larger than that of the photoacoustic signal, thus enabling highly sensitive detection of nanoscale objects. SWIP can resolve the intracellular lipids across an intact tumor spheroid and the layered structure in millimeter-thick liver, skin, brain, and breast tissues. Together, SWIP microscopy fills a gap in vibrational imaging with sub-cellular resolution and millimeter-level penetration, which heralds broad potential for life science and clinical applications.
Building and Evaluating an Ethernet-based Interconnection Network Prototype using Open-Hardware Designs and FPGAs
Authors: Moran-Munoz Antonio , Escudero-Sahuquillo Jesus , Garcia Pedro J. , Quiles Francisco J. 
Published: October 2023

Abstract
The interconnection network is a subsystem evermore important in current Datacenters and supercomputers where data- and computing-hungry applications, used in high-performance computing (HPC), artificial intelligence (AI), or Cloud fields, demand a growing number of communication operations among the server hosts. These demands require that the network subsystem guarantees high communication bandwidth and low latency, otherwise becoming the bottleneck of the entire system. There are numerous interconnection network technologies that are evolving their architectures to accomplish these demands, such as InfiniBand or Ethernet-based networks. In particular, Ethernet-based interconnection networks have improved in the last few years their performance, in terms of latency and throughput, so they have become a competitive and popular choice for Datacenters and Supercomputers.Indeed, there are several open hardware projects, such as Corundum and NetFPGA, which provide interconnection network models that can be implemented in commodity FPGAs. Thanks to these projects the community is contributing to developing novel and efficient network functionalities. In this paper, we describe the process of building an FPGA-based prototype for an Ethernet-based interconnection network.Specifically, we use development boards from the NetFPGA platform, composed of a Xilinx Virtex-7 690T FPGA, internal flash memory, 10GbE transceivers, etc.In these FPGAs, we have implemented open-source designs (NICs and switches) from NetFPGA and Corundum projects. The cabling of the prototype is flexible so it allows measuring the performance of NIC-to-NIC and NIC-to-switch communication. We have also evaluated several transport protocols (i.e., TCP and UDP) using commonly used benchmarks and tools, and analyzed the different configurations of the software stack to reduce the packet dropping in the communication.
Study on the Spatial Distribution Patterns and Influencing Factors of Dai settlements in Yunnan Province
Authors: Tao Hong-fei , Zhou Jingfan 
Published: October 2023

Abstract
This study employs the ArcGIS spatial analysis platform to examine the spatial distribution pattern of 3504 Dai settlements in Yunnan Province, China. To this end, the nearest-neighbor index and imbalance index are calculated, and geographic probes are utilized to explore the underlying influence mechanism. The findings demonstrate that: (1) the overall spatial distribution of Dai settlements in Yunnan Province tends to be cohesive; however, at the provincial scale, it displays an uneven distribution pattern, with many dense areas in the province and a spatial distribution pattern of "two cores, one belt, one area, and two points"; (2) The majority of Dai settlements are found in an area with an elevation between 500 and 2000 meters, a slope between 0 and 15 degrees, entire slope, high temperatures, and high humidity, which indicats a "near traffic" and "along the river" distribution pattern, but the distribution of the settlements is influenced by the percentage of Dai people living there. (3) The detector probe's findings indicate that among the variables affecting the geographic distribution of Dai settlements, racial and cultural factors have the greatest explanatory power, followed by socioeconomic and environmental variables, while transportation variables have a smaller impact.
Study Protocol: Infectious Diseases Consortium (I3D) for Study on Integrated and Innovative Approaches for Management of Respiratory Infections: Respiratory Infections Research and Outcome study (RESPIRO)
Authors: Ng Dorothy Hui Lin , Chia Travis Ren Teen , Young Barnaby Edward , Sadarangani Sapna , Puah Ser Hon , Low Jenny Guek Hong , Yan Gabriel Zherong , Mo Yin , Ngiam Nicholas Jinghao , Wang Samuel Sherng Young , Loo Yan Tong , Ong Faith Evangeline Jie Qi , Li Andrew Yunkai , Ho Sharlene , Ng Lisa , Tambyah Paul Anantharajah , Yeo Tsin Wen 
Published: October 2023

Abstract
Background
Community-acquired respiratory infections are a leading cause of illness and death globally. The aetiologies of community-acquired pneumonia remain poorly defined. The RESPIRO study is an ongoing prospective observational study aimed at developing pragmatic logistical and analytic platforms to accurately identify the causes of moderate-to-severe community-acquired pneumonia in adults and understand the factors influencing disease caused by individual pathogens. The study is currently underway in Singapore and has plans for expansion into the broader region.
Methods
RESPIRO is being conducted three major tertiary hospitals in Singapore. Adults hospitalised with acute community-acquired pneumonia or lower respiratory tract infections, based on established clinical, laboratory and radiological criteria, will be recruited. Over the course of the illness, clinical data and biological samples will be collected longitudinally and stored in a repository for future analysis.
Discussion
The RESPIRO study is designed to be hypothesis generating, complementary to and easily integrated with other research projects and clinical trials. The detailed clinical database and biorepository will yield insights into the epidemiology and outcomes of community-acquired lower respiratory tract infections in Singapore and the surrounding region and offers the opportunity to deeply characterise the microbiology and immunopathology of community-acquired pneumonia.
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Influencing factors on bone mass abnormalities in Tibetan adult females from a socioeconomic perspective
Authors: ZHONG Huaichang , ZHOU Yaxi , WANG Peng , JIA Qundi , WAN yang , WANG Wenzhi , XIONG hai 
Published: October 2023

Abstract
Background Social economy is an important factor affecting human bone health. The higher prevalence of abnormal bone mass in Tibetan female adults with lower socioeconomic status may be attributed to lower health service utilization and unhealthy lifestyle behaviors. To explore the current status and influencing factors of bone mass abnormalities in Tibetan adult women from a socio- economic perspective, in order to provide a reference for the prevention and treatment of bone mass abnormalities in local Tibetan adult women.
Methods A total of 640 Tibetan adult females were randomly selected from six counties including Gaize County by multi-stage stratified random sampling method. The c2 test and multivariate logistic regression method were used to analyze the current status of bone mass abnormalities and its influencing factors in Tibetan adult women.
Results Among 640 Tibetan adult females, 499 cases (78.0%) had normal bone mineral density and 141 cases (22.0%) were in the abnormal bone mass group. Last year's household income level, last year's medical expenditure level, literacy level, and stroke were the influencing factors for abnormal bone mass.
Conclusion Socioeconomic status is an important influencing factor of bone mass abnormalities in Tibetan adult females. Higher family income and higher education level are protective factors for bone mass abnormalities, and higher medical expenditure and suffering from stroke are risk factors for bone mass abnormalities. Efforts should be continued to narrow the gap between rich and poor in society, increase the access and ability of women with lower socioeconomic status to health education and medical services, improve their quality of life, and strive to achieve the goal of health for all.
Application of detergent as carbon sources for polyhydroxyalkanoate accumulation by Bacillus spp.
Authors: Chou Hung‑Che , Chen Chia‑Hsin , Huang Chun‑Mei , Wang Hui‑Jun , Hsiung Yu‑Chuan , Ou Chung‑Mao , Guo Gia‑Luen 
Published: October 2023

Abstract
This study investigated the potential of various detergents as carbon substrates for polyhydroxyalkanoate (PHA) production under nitrogen-limited conditions. We determined that Tween 80 promoted PHA accumulation by ZD-F1, a Bacillus sp. strain isolated from field sludge. When cultured with Tween 80, ZD-F1 achieved a peak dry cell weight (DCW) of 3.28 g/L, along with a PHA content of 18.96% and PHA yield of 0.48 g/L. Tween 80 at various concentrations resulted in a PHA theoretical yield of 0–10.6%. Experiments assessing the PHA species indicated that the PHA species under both Tween 80 and glucose was 3HB. Moreover, through chemical and biochemical stoichiometric calculations, we determined that the theoretical yields of 3HB from Tween 80 were 1.228 and 0.558 g/g, respectively, and those of 3HB from glucose were 0.716 and 0.318–0.477 g/g, respectively, across various catabolic pathways. To our knowledge, this is the first study to analyze PHA accumulation by a Bacillus sp. strain—isolated from wastewater treatment plant sludge—under various detergents as carbon sources.
Radiographic Evaluation of Pulmonary Embolus Study at Mouwasat University Hospita On the Radiological Signs of pulmonary embolus On plain chest images and CT scans.
Authors: Aldahouk Yara , khattab Khalid 
Published: October 2023

Abstract

Pulmonary embolism results from an emboli in any part of the pulmonary circulation, it is usually caused by avenous thrombosis in the deep veins, Risk factors for pulmonary embolism include three basic forms called Virchow triad: Vascular trauma, Increased coagulability, Reduced blood flow, The clinical manifestations of pulmonary embolism are nonspecific, but their presence with one of the risk factors leads to pulmonary embolism, and then we carry out appropriate investigations and measures, Plain chest X-ray is often non directional and is used to ruleout symptoms clinically similar to pulmonary embolus, Pulmonary angiography is currently considered the gold standard for diagnosis, It is often performed using the multishider technique, wich has asensitivity and specificity equal to contrast angiography, but it is a non – invasive procedure and is therefore more widely used
Meteorological Characteristics of a Continuous Ice-covered Event on Ultra-High Voltage Transmission Lines in Yunnan Region in 2021
Authors: He Sen , Song Yunhai , Huang Heyan , He Yuhao , Zhou Shaohui , Gao Zhiqiu 
Published: October 2023

Abstract
Yunnan plays a pivotal role in transmitting electricity from west to east within China's Southern Power Grid. During January 7-13, 2021, a large-scale continuous ice-covering event of ultra-high voltage (UHV) transmission lines occurred in Qujing area in eastern Yunnan Province. Based on ERA5 reanalysis data and meteorological observation data of UHV transmission line icing in China Southern Power Grid, the synoptic causes of the icing are analyzed comprehensively from the aspects of weather situation, vertical stratification of temperature and humidity, local meteorological elements, and atmospheric circulation indices. The results show that the East Asian trough is strong, and the blocking high leads the northern air flow in front of the ridge to the south, and the cold air enters the ridge and joins the warm and wet air brought by the subtropical high pressure of 50-90°E. When the warm and cold air masses confront each other to form a quasi-stationary front over the northern mountains of Qujing, the alternating dominance of the warm and cold air is the main reason for the repeated ice accumulation of the power lines. Indices such as the Siberian High, East Asian Trough, and 50-90 ° E Subtropical High provided clear precursor signals within 0-2 days in advance of the icing events.
Evaluation of Sugar Content and Bioethanol Production of Ethiopian Local Varieties “Nech Tinkish” and “Hawaye”Sweet Sorghum (Sorghum Bicolor (L.)
Authors: Kasegn Melaku Mekonen , Simachew Addis , Redda Yisehak Tsegaye , Gebremedhn Hailay Mehari , Berhanu Addisu Desalegn , Mossa Mohammed Mebrahtu 
Published: October 2023

Abstract

Diversifying the use of climate-smart crops such as Sweet sorghum has the potential to solve integrated food, bioenergy, feed, and land management problems. The study purposed to quantify the sugar content of Nech Tinkish (v1) and Hawaye (v2) indigenous sweet sorghum varieties and investigate the interaction effect of fermentation parameters to determine their capacity for ethanol production. Sweet sorghum varieties were analyzed to determine their difference in oBrix content by extracting their juices. The juice was clarified using milk lime. Its total soluble sugars, total carbohydrates, and reducing sugars were determined using a digital Refractometer, phenol sulfuric acid, and 3, 5-Dinitro salicylic acid, respectively. A completely Randomized Factorial was employed to evaluate ethanol production capacity, and the ethanol content was estimated using a potassium dichromate solution. The oBrix results revealed that v2 had a higher sugar concentration than v1. Additionally, the estimated carbohydrate content of the juice ranged from 37.402 g/L to 157.641 g/L. The estimated reducing sugar also varied from 4.644 g/L to 33.412 g/L. Therefore, the estimated reducing sugar showed the hydrolysis of Sweet sorghum juice by invertase and sulfuric acid produced more fermentable sugars. Fermentation at 30 oC with pH 4.5 incubated for four days yields the highest ethanol, and v2 yields higher (15.31%) ethanol, compared to v1 produced 15.31%. This study showed a basis for the existence of two sugar-rich climate smart sweet sorghum varieties with an extraordinary amount of sugar used as a source of biofuel and food simultaneously in a single plot of land.
LMCNet: A Lightweight Multi-class Counting Network with Ghost Attention Mechanism and Focal-L2 Loss
Authors: Zhang Li , Wei Xiangyi , Yu Houshun , Jin Lu 
Published: October 2023

Abstract
At present, the research of object counting mostly focuses on single object counting, such as crowd counting and vehicle counting. In real life scenarios, it is common that crowds and vehicles appear at the same time, so multi-class object counting is more valuable. However, multi-class object counting has not been drawing broad attentiion yet. This study first provides a dataset of real scene multi-class counting (RSMCOC) for the research of multi-class object counting, and then proposes a lightweight multi-class counting network (LMCNet). In LMCNet, we design a Ghost attention module, adopting the Ghost attention mechanism that is a hybird mechanisem of channel and spatial attention mechanisms. To obtain high quality multi-channel density maps with low computing efficiency, the Ghost attention module takes into account the phenomenon of ''feature map distortion" and mixes the inherent and Ghost feature maps, where the latter is generated by a Ghost module. Moreover, LMCNet develops a novel loss function, called Focal-L2, which is suitable for multi-class object counting tasks. This loss function can adaptively allocate weights to the loss of each category, avoiding the problem caused by class imbalance. For comparison, we extend existing single object counting algorithms to multi-class counting tasks by changing the output channels of these algorithms. Through extensive experiments on the RSMCOC dataset, we demonstrate that the proposed model achieves a better balance of counting performance and computing efficiency compared to existing models.