bluuebunny/crossref_metadata_2025 huggingface dataset:
Is banning conversion therapy enough?
Authors: Little Maddie
Published: October 2022

The practice of conversion therapy and lack of access to gender-affirming healthcare is a significant health issue in Aotearoa New Zealand. Recently introduced legislation has sparked media coverage of the need for a ban of conversion therapy, with the current Labour government acknowledging that it causes harm and is linked to serious mental health issues. A literature search was conducted to understand what information is available in Aotearoa New Zealand, and internationally, regarding conversion therapy and access to gender-affirming healthcare. The findings reported here exemplify that, despite this practice presenting a significant health issue for transgender and non-binary people, the topic is significantly under- researched in Aotearoa New Zealand, particularly in the social work field. The following article considers the health, political, legal, and religious aspects of conversion therapy and access to gender affirming healthcare in existing literature, making recommendations for future social work research investment to better advocate for and support transgender and non-binary people.
The ABC transporter MsbA adopts the wide inward-open conformation in
E. coli
cells
Authors: Galazzo Laura , Meier Gianmarco , Januliene Dovile , Parey Kristian , De Vecchis Dario , Striednig Bianca , Hilbi Hubert , Schäfer Lars V. , Kuprov Ilya , Moeller Arne , Bordignon Enrica , Seeger Markus A.
Published: October 2022

Membrane proteins are currently investigated after detergent extraction from native cellular membranes and reconstitution into artificial liposomes or nanodiscs, thereby removing them from their physiological environment. However, to truly understand the biophysical properties of membrane proteins in a physiological environment, they must be investigated within living cells. Here, we used a spin-labeled nanobody to interrogate the conformational cycle of the ABC transporter MsbA by double electron-electron resonance. Unexpectedly, the wide inward-open conformation of MsbA, commonly considered a nonphysiological state, was found to be prominently populated in
Escherichia coli
cells. Molecular dynamics simulations revealed that extensive lateral portal opening is essential to provide access of its large natural substrate core lipid A to the binding cavity. Our work paves the way to investigate the conformational landscape of membrane proteins in cells.
Viral shunt in tropical oligotrophic ocean
Authors: Shiah Fuh-Kwo , Lai Chao-Chen , Chen Tzong-Yueh , Ko Chia-Ying , Tai Jen-Hua , Chang Chun-Wei
Published: October 2022

Viruses cause massive bacterial mortality and thus modulate bacteria-governed carbon transfer and nutrient recycling at global scale. The viral shunt hypothesis states the crucial role of viral lysis in retaining microbial carbon into food web processes, while its applicability to nature has not been well identified for over two decades. Here, we conducted nine diel surveys in the tropical South China Sea and suggested that the time scale adopted in sampling and system trophic status determine the “visibility” of the viral shunt in the field. Specifically, viral abundance (VA), bacterial biomass (BB), and bacterial specific growth rate (SGR) varied synchronously and presented the significant VA-BB and VA-SGR linkages at an hourly scale, which reveals direct interactions between viruses and their hosts. The differential responses of the viral shunt to temperature, i.e., looser VA-SGR coupling in warm and tighter VA-SGR coupling in cold environments, imply an altered carbon cycling in tropical oceans under climatic warming.
Pro-inflammatory megakaryocyte gene expression in murine models of breast cancer
Authors: Roweth Harvey G. , Malloy Michael W. , Goreczny Gregory J. , Becker Isabelle C. , Guo Qiuchen , Mittendorf Elizabeth A. , Italiano Joseph E. , McAllister Sandra S. , Battinelli Elisabeth M.
Published: October 2022

Despite abundant research demonstrating that platelets can promote tumor cell metastasis, whether primary tumors affect platelet-producing megakaryocytes remains understudied. In this study, we used a spontaneous murine model of breast cancer to show that tumor burden reduced megakaryocyte number and size and disrupted polyploidization. Single-cell RNA sequencing demonstrated that megakaryocytes from tumor-bearing mice exhibit a pro-inflammatory phenotype, epitomized by increased
Ctsg
,
Lcn2
,
S100a8
, and
S100a9
transcripts. Protein S100A8/A9 and lipocalin-2 levels were also increased in platelets, suggesting that tumor-induced alterations to megakaryocytes are passed on to their platelet progeny, which promoted in vitro tumor cell invasion and tumor cell lung colonization to a greater extent than platelets from wild-type animals. Our study is the first to demonstrate breast cancer–induced alterations in megakaryocytes, leading to qualitative changes in platelet content that may feedback to promote tumor metastasis.
Reducing uncertainty in local temperature projections
Authors: Qasmi Saïd , Ribes Aurélien
Published: October 2022

Planning for adaptation to climate change requires accurate climate projections. Recent studies have shown that the uncertainty in global mean surface temperature projections can be considerably reduced using historical observations. However, the transposition of these new results to the local scale is not yet available. Here, we adapt an innovative statistical method that combines the latest generation of climate model simulations, global observations, and local observations to reduce uncertainty in local temperature projections. By taking advantage of the tight links between local and global temperature, we can derive the local implications of global constraints. The model uncertainty is reduced by 30% up to 70% at any location worldwide, allowing to substantially improve the quantification of risks associated with future climate change. A rigorous evaluation of these results within a perfect model framework indicates a robust skill, leading to a high confidence in our constrained climate projections.
Direct observational evidence of an oceanic dual kinetic energy cascade and its seasonality
Authors: Balwada Dhruv , Xie Jin-Han , Marino Raffaele , Feraco Fabio
Published: October 2022

The ocean’s turbulent energy cycle has a paradox; large-scale eddies under the control of Earth’s rotation transfer kinetic energy (KE) to larger scales via an inverse cascade, while a transfer to smaller scales is needed for dissipation. It has been hypothesized, using simulations, that fronts, waves, and other turbulent structures can produce a forward cascade of KE toward dissipation scales. However, this forward cascade and its coexistence with the inverse cascade have never been observed. Here, we present the first evidence of a dual KE cascade in the ocean by analyzing in situ velocity measurements from surface drifters. Our results show that KE is injected at two dominant scales and transferred to both large and small scales, with the downscale flux dominating at scales smaller than ∼1 to 10 km. The cascade rates are modulated seasonally, with stronger KE injection and downscale transfer during winter.
Integration of synaptic phototransistors and quantum dot light-emitting diodes for visualization and recognition of UV patterns
Authors: Seung Hyojin , Choi Changsoon , Kim Dong Chan , Kim Ji Su , Kim Jeong Hyun , Kim Junhee , Park Soo Ik , Lim Jung Ah , Yang Jiwoong , Choi Moon Kee , Hyeon Taeghwan , Kim Dae-Hyeong
Published: October 2022

Synaptic photodetectors exhibit photon-triggered synaptic plasticity, which thus can improve the image recognition rate by enhancing the image contrast. However, still, the visualization and recognition of invisible ultraviolet (UV) patterns are challenging, owing to intense background noise. Here, inspired by all-or-none potentiation of synapse, we develop an integrated device of synaptic phototransistors (SPTrs) and quantum dot light-emitting diodes (QLEDs), facilitating noise reduction and visualization of UV patterns through on-device preprocessing. The SPTrs convert noisy UV inputs into a weighted photocurrent, which is applied to the QLEDs as a voltage input through an external current-voltage–converting circuit. The threshold switching characteristics of the QLEDs result in amplified current and visible illumination by the suprathreshold input voltage or nearly zero current and no visible illumination by the input voltage below the threshold. The preprocessing of image data with the SPTr-QLED can amplify the image contrast, which is helpful for high-accuracy image recognition.
A Prolonged Outbreak of Human Adenovirus A31 (HAdV-A31) Infection on a Pediatric Hematopoietic Stem Cell Transplantation Ward with Whole Genome Sequencing Evidence of International Linkages
Authors: Fattouh Ramzi , Stapleton Patrick J. , Eshaghi AliReza , Thomas Angela D. , Science Michelle E. , Schechter Tal , Streitenberger Laurie , Hubacek Petr , Yau Yvonne C. W. , Brown Martha , Graham Morag R. , Gubbay Jonathan B. , Campigotto Aaron J. , Patel Samir N. , Richardson Susan E.
Published: October 2022

A surge in hematopoietic stem cell transplantation (HSCT) human adenovirus A31 (HAdV-A31) infections was initially observed in late 2014/2015 at SickKids (SK) Hospital, Toronto, Canada. In response, enhanced laboratory monitoring for all adenovirus infections was conducted.
Chemotherapeutic Drugs Induce Different Gut Microbiota Disorder Pattern and NOD/RIP2/NF-κB Signaling Pathway Activation That Lead to Different Degrees of Intestinal Injury
Authors: Huang Bin , Gui Mengxuan , Ni Zhuona , He Yanbin , Zhao Jinyan , Peng Jun , Lin Jiumao
Published: October 2022

Chemotherapy-induced intestinal injury limits the clinical use of drugs. Intestinal injury involves multiple signaling pathways and gut microbiota disruption.
Altered Fecal Microbiome and Correlations of the Metabolome with Plasma Metabolites in Dairy Cows with Left Displaced Abomasum
Authors: Luo Zhengzhong , Yong Kang , Luo Qiao , Du Zhenlong , Ma Li , Huang Yixin , Zhou Tao , Yao Xueping , Shen Liuhong , Yu Shumin , Deng Junliang , Ren Zhihua , Zhang Yong , Yan Zuoting , Zuo Zhicai , Cao Suizhong
Published: October 2022

LDA is a major contributor to economic losses in the dairy industry worldwide; however, the mechanisms associated with the metabolic changes in LDA remain unclear. Most previous studies have focused on the rumen microbiota in terms of understanding the contributors to the productivity and health of dairy cows; this study further sheds light on the relevance of the lower gut microbiota and its associated metabolites in mediating the development of LDA.
Human Dendritic Cells Transmit Enterovirus A71 via Heparan Sulfates to Target Cells Independent of Viral Replication
Authors: Helgers Leanne C. , Bhoekhan Michel S. , Pajkrt Dasja , Wolthers Katja C. , Geijtenbeek Teunis B. H. , Sridhar Adithya
Published: October 2022

EV-A71 is an emerging neurotropic virus that is of emerging concern and can result in polio-like illness. The exact mechanism of how EV-A71 results in neurological symptoms are unknown.
Investigating the Origin of Mycobacterium chimaera Contamination in Heater-Cooler Units: Integrated Analysis with Fourier Transform Infrared Spectroscopy and Whole-Genome Sequencing
Authors: Bisognin F. , Messina F. , Butera O. , Nisii C. , Mazzarelli A. , Cristino S. , Pascale M. R. , Lombardi G. , Cannas A. , Dal Monte P.
Published: October 2022

Our manuscript focuses on interventions to reduce waterborne disease transmission, improve sanitation, and control infection. Sanitary water can be contaminated by nontuberculous Mycobacteria, including
M. chimaera
, a causative agent of invasive infections in immunocompromised patients.
A cause for concern?
Authors: McCrory P
Published: October 2022

This article has been retracted. See the retraction notice for details. The PDF is retained for transparency.
How does body mass index impact self-perceived health? A pan-European analysis of the European Health Interview Survey Wave 2
Authors: Narciso Joana , Croome Natasha
Published: October 2022

Background

Obesity remains a major global public health issue, despite numerous attempts to address it. Health behaviour theories suggest that a misconception of how excess weight affects general health may be preventing individuals from taking action towards addressing it. The present study explores this relationship in European countries.

Methods

This study analysed cross-sectional secondary data collected as part of the European Health Interview Survey Wave 2 (2013–2015), with a total sample of 299 846 participants. The association between body mass index and self-perceived health was analysed using logistic regression models. Age, sex, country, degree of urbanisation and level of education were included in the model to determine excess weight’s independent contribution to self-perceived health over and above these variables.

Results

The majority of the sample was in the excess weight category (52.92%; n=155 812), with only Austria and Luxembourg reporting a higher proportion of normal weight than excess weight. An analysis of self-perceived health revealed that most individuals perceived themselves to be in good health (42.88%; n=128 579). Logistic regression results show that overweight individuals were more likely to report being in poorer self-perceived health (OR=1.27, 95% CI 1.25 to 1.29) compared with normal weight individuals. The same effect was observed for individuals in the obese class I (OR=2.00, 95% CI 1.96 to 2.05), obese class II (OR=3.00, 95% CI 2.88 to 3.13) and obese class III (OR=4.38, 95% CI 4.07 to 4.71) categories. However, this study did not find a rigid pattern of association between excess weight and self-perceived health across European countries.

Conclusion

In general, a higher body mass index category is associated with poorer self-perceived health, suggesting that the majority of the study population have a correct perception of how their weight affects their health. However, in some key countries this relationship is not observed and should be further explored.
Cohort profile: the Scottish Diabetes Research Network national diabetes cohort – a population-based cohort of people with diabetes in Scotland
Authors: McGurnaghan Stuart J. , Blackbourn Luke A. K. , Caparrotta Thomas M. , Mellor Joseph , Barnett Anna , Collier Andy , Sattar Naveed , McKnight John , Petrie John , Philip Sam , Lindsay Robert , Hughes Katherine , McAllister David , Leese Graham P , Pearson Ewan R , Wild Sarah , McKeigue Paul M , Colhoun Helen M
Published: October 2022

Purpose

The Scottish Diabetes Research Network (SDRN)-diabetes research platform was established to combine disparate electronic health record data into research-ready linked datasets for diabetes research in Scotland. The resultant cohort, ‘The SDRN-National Diabetes Dataset (SDRN-NDS)’, has many uses, for example, understanding healthcare burden and socioeconomic trends in disease incidence and prevalence, observational pharmacoepidemiology studies and building prediction tools to support clinical decision making.

Participants

We estimate that >99% of those diagnosed with diabetes nationwide are captured into the research platform. Between 2006 and mid-2020, the cohort comprised 472 648 people alive with diabetes at any point in whom there were 4 million person-years of follow-up. Of the cohort, 88.1% had type 2 diabetes, 8.8% type 1 diabetes and 3.1% had other types (eg, secondary diabetes). Data are captured from all key clinical encounters for diabetes-related care, including diabetes clinic, primary care and podiatry and comprise clinical history and measurements with linkage to blood results, microbiology, prescribed and dispensed drug and devices, retinopathy screening, outpatient, day case and inpatient episodes, birth outcomes, cancer registry, renal registry and causes of death.

Findings to date

There have been >50 publications using the SDRN-NDS. Examples of recent key findings include analysis of the incidence and relative risks for COVID-19 infection, drug safety of insulin glargine and SGLT2 inhibitors, life expectancy estimates, evaluation of the impact of flash monitors on glycaemic control and diabetic ketoacidosis and time trend analysis showing that diabetic ketoacidosis (DKA) remains a major cause of death under age 50 years. The findings have been used to guide national diabetes strategy and influence national and international guidelines.

Future plans

The comprehensive SDRN-NDS will continue to be used in future studies of diabetes epidemiology in the Scottish population. It will continue to be updated at least annually, with new data sources linked as they become available.
Impact of electrically assisted bicycles on physical activity and traffic accident risk: a prospective observational study
Authors: Haufe Sven , Boeck Hedwig Theda , Häckl Sebastian , Boyen Johanna , Kück Momme , van Rhee Clara Catharina , Graf von der Schulenburg Johann-Matthias , Zeidler Jan , Schmidt Torben , Johannsen Heiko , Holzwart Dennis , Koch Armin , Tegtbur Uwe
Published: October 2022

Background

Electrically assisted bicycles (e-bikes) have become increasingly popular and may facilitate active commuting and recreational cycling.

Objective

To evaluate the physical activity levels and usage characteristics of e-bikers and conventional cyclists under real-world conditions.

Methods

We conducted a prospective observational study in Germany to examine the effects of e-biking compared with conventional cycling on reaching the World Health Organization (WHO) target for physical activity—at least 150 min of moderate-to-vigorous physical activity (MVPA) per week. Study participants (1250 e-bikers and 629 conventional bike users) were equipped with activity trackers to assess the time, distance and heart rate during cycling over four consecutive weeks. Questionnaires were used to assess any traffic accidents incurred over 12 months.

Results

The proportion of participants reaching 150 min of MVPA per week was higher for conventional bike users than for e-bike users (35.0% vs 22.4%, p<0.001). In a multiple regression model, the odds of reaching the physical activity target were lower for e-biking than for conventional biking (OR=0.56; 95% CI 0.43 to 0.72) with age, sex, comorbidities and bike usage patterns as confounding factors. No significant differences were observed between bike groups for traffic accidents, yet when controlled for cycling time and frequency of cycling e-bikers had a higher risk of a traffic accident (OR=1.63; 95% CI 1.02 to 2.58).

Conclusion

E-bikes are associated with a lower probability of reaching WHO targets for MVPA due to reduced duration and a reduced cardiovascular effort during riding. However, e-bikes might facilitate active transportation, particularly in older individuals or those with pre-existing conditions.
A grafting-from strategy for the synthesis of bottlebrush nanofibers from organic semiconductors
Authors: Thompson Kyle A. , Mayder Don M. , Tonge Christopher M. , Sauvé Ethan R. , Lefeaux Harrison R. , Hudson Zachary M.
Published: October 2022

Bottlebrush polymers with optoelectronic function show promise for applications in photonic crystals, nanomedicine, and encoding of information. In particular, bottlebrush polymers formed from organic semiconductors give wire-like nanoparticles where band gaps, fluorescence, and energy transfer can be tuned. To date, such bottlebrush polymers have largely been prepared by grafting-through polymerization of organic semiconductor macromonomers, where pre-synthesized side chains are polymerized along a bottlebrush backbone. While this approach provides high side-chain grafting densities, the length of bottlebrush polymers that is possible to obtain is limited by steric crowding at the propagating chain end. Here, we describe methods for preparing ultralong bottlebrush nanofibers from organic semiconductors, with backbone lengths approaching 800 repeating units and molecular weights in excess of 4 MDa. By combining reversible addition fragmentation chain transfer and Cu(0) reversible deactivation radical polymerization, a “grafting-from” protocol is described where monomers can be grown from a pre-synthesized backbone. Bottlebrush polymers were prepared from organic semiconductors used as n-type, p-type, and host materials in multilayer organic devices. Finally, a two-component bottlebrush polymer exhibiting deep blue emission, two-photon fluorescence, and a quantum yield of unity is also prepared by this method.
Page curves of Reissner–Nordström black hole in HD gravity
Authors: Yadav Gopal
Published: October 2022

We obtain the Page curves of an eternal Reissner–Nordström black hole in the presence of higher derivative terms in four dimensions. We consider two cases: gravitational action with general $${\mathcal {O}}(R^2)$$

O
(

R
2

)

terms plus Maxwell term and Einstein–Gauss–Bonnet gravity plus Maxwell term. In both the cases entanglement entropy of the Hawking radiation in the absence of island surface is increasing linearly with time. After including contribution from the island surface, we find that after the Page time, entanglement entropy of the Hawking radiation in both the cases reaches a constant value which is the twice of the Bekenstein–Hawking entropy of the black hole and we obtain the Page curves. We find that Page curves appear at later or earlier time when the Gauss–Bonnet coupling increases or decreases. Further, scrambling time of Reissner–Nordström is increasing or decreasing depending upon whether the correction term (coming from $${\mathcal {O}}(R^2)$$

O
(

R
2

)

terms in the gravitational action) is increasing or decreasing in the first case whereas scrambling time remains unaffected in the second case (Einstein–Gauss–Bonnet gravity case). As a consistency check, in the limit of vanishing GB coupling we obtain the Page curve of the Reissner–Nordström black hole obtained in Wang et al. (JHEP 04:103, 2021).
From ‘source to sink’ to ‘sink to source’: a review of volcanic fluvial and lacustrine successions in Japan
Authors: Kataoka Kyoko S.
Published: October 2022

Volcaniclastic sedimentological studies in Japan have addressed Miocene–Holocene volcaniclastic fluvial and lacustrine successions. These research approaches can be categorized into: (1) the ‘from volcanic source to sink’ concept focusing on hydrological volcaniclastic sedimentation (including lahars), environmental impacts and cascading processes by explosive volcanism; and (2) the ‘from sink to volcanic source’ view, with a focus on elucidating volcanic and eruptive information such as the location of the eruption centre, eruption style and eruption age from analyses of distally deposited volcaniclastic sediments other than tephra fall deposits, despite the occasional absence of correlative eruption records in proximal areas and/or on the volcanic edifice itself. Geological records, which have a longer time span, can reveal decadal- to millennial-scale hydrological and cascading volcaniclastic sedimentation that cannot be assessed currently by direct observation. In addition, distal volcaniclastic successions in sinks have a continuous depositional record that can provide precise ages and the recurrence intervals of past eruptions and eruption-associated hydrological events. Both perspectives, beyond the borders of sedimentology and volcanology, are necessary to capture the geological record fully and to understand past volcanisms and their impacts, which will eventually lead to better prediction and preparation for future volcanic events.
Surface Realization Architecture for Low-resourced African Languages
Authors: Mahlaza Zola , Keet C. Maria
Published: October 2022

There has been growing interest in building surface realization systems to support the automatic generation of text in African languages. Such tools focus on converting abstract representations of meaning to a text. Since African languages are low-resourced, economical use of resources and general maintainability are key considerations. However, there is no existing surface realizer architecture that possesses most of the maintainability characteristics (e.g., modularity, reusability, and analyzability) that will lead to maintainable software that can be used for the languages. Moreover, there is no consensus surface realization architecture created for other languages that can be adapted for the languages in question. In this work, we solve this by creating a novel surface realizer architecture suitable for low-resourced African languages that abides by the features of maintainable software. Its design comes after a granular analysis, classification, and comparison of the architectures used by 77 existing NLG systems. We compare our architecture to existing architectures and show that it supports the most features of a maintainable software product.
The Future of Clean Computing May Be Dirty
Authors: Josephson Colleen , Shuai Weitao , Marcano Gabriel , Pannuto Pat , Hester Josiah , Wells George
Published: October 2022

The emergence of the Internet of Things and pervasive sensor networks have generated a surge of research in energy scavenging techniques. We know well that harvesting RF, solar, or kinetic energy enables the creation of battery-free devices that can be used where frequent battery changes or dedicated power lines are impractical. One unusual yet ubiquitous source of power is soil (earth itself) - or more accurately, bacterial communities in soil. Microbial fuel cells (MFCs) are electrochemical cells that harness the activities of microbes that naturally occur in soil, wetlands, and wastewater. MFCs have been a topic of research in environmental engineering and microbiology for decades, but are a relatively new topic in electronics design and research. Most low-power electronics have traditionally opted for batteries, RF energy, or solar cells. This is changing, however, as the limitations and costs of these energy sources hamper our ability to deploy useful systems that last for decades in challenging environments. If large-scale, long-term applications like underground infrastructure monitoring, smart farming, and sensing for conservation are to be possible, we must rethink the energy source.
An Introduction to Digital Twin Standards
Authors: Sun Wen , Ma Wenqiang , Zhou Yu , Zhang Yan
Published: October 2022

Recently, both academia and industry have shown increasing interest in unlocking the potential applications of digital twin. As an emerging technology, digital twin builds a virtual representation of physical objects and makes predictive strategies. As compared with conventional simulation and modeling technologies, digital twin can ensure the high fidelity of the virtual model through continuous updating and self-learning. The emerging standardization of digital twin facilitates the development of digital twin, and will eventually realize the interconnection of data, models and services between different enterprises or areas. This article overviews the recent progress of digital twin standards, the progress of digital twin network, and the challenges for successfully deploying digital twins.
Magnetocaloric Effect and Magnetic Properties of Core-Shell Ferrimagnetic Spherical Nanoparticle: A Monte Carlo Study
Authors: Zaim M. , Zaim N. , Omari L. H. , Kerouad M. , Zaim A.
Published: October 2022

In this work, a Monte Carlo simulation based on the Metropolis algorithm has been applied to investigate the magnetic properties and the magnetocaloric effect (MCE) of a ferrimagnetic nanoparticle, with a core-shell structure. The magnetic properties of ferrimagnetic nanoparticle were shown, the influences of the interface and shell couplings on both compensation and critical temperatures were examined and the effect of shell thickness was elucidated. The MCE was obtained by calculating the magnetic entropy change (−ΔS

m
) using the Maxwell relation. The shell coupling J

sh
, the antiferromagnetic interface coupling J

int
, and the ferromagnetic shell thickness R

sh
of the nanoparticle impact the MCE. Our findings could pave the way for enhancement of the MCE of the present system, controlled by the variation of the magnetic interactions and external magnetic field.
Subtype Classification, Immune Infiltration, and Prognosis Analysis of Lung Adenocarcinoma Based on Pyroptosis‐Related Genes
Authors: Liu Qi , Fang Liguang , Gao Chundi , Liu Cun , Yu Haiyang , Wu Jibiao , Hou Lin , Sun Changgang
Published: October 2022

The effect of pyroptosis‐related genes (PRGs) on the tumor microenvironment (TME) in lung adenocarcinoma (LUAD) remains unclear. Thus, this study is aimed at evaluating the prognostic value of PRGs in patients with LUAD and to elucidate their role in the TME and their effect on immunotherapy. Transcriptomic and clinical data were obtained from the Cancer Genome Atlas and the Gene Expression Omnibus databases (GSE3141, GSE31210). Patients with LUAD were classified using consistent clustering, and the differences in the TME for each type were determined using the ESTIMATE and CIBERSORT algorithms. PRGs were screened using univariate regression analysis, and a prognostic risk model was constructed using LASSO regression analysis. The tumor mutational burden and the tumor immune dysfunction and exclusion algorithms were used to predict therapeutic sensitivity in LUAD patients. Then, we evaluated the potential therapeutic interventions using the GDSC database. LUAD patients in cluster 2 had significantly shorter overall survival and progression‐free survival rates, lower immune scores, and higher infiltration of T follicular helper cells than those in cluster 1. We used five PRGs to classify patients with LUAD into different risks groups and found that the high‐risk group is sensitive to immunotherapy; however, its immune‐related pathways were inhibited, which may be related to tumor metabolic reprogramming. Lastly, we identified several potential therapeutic drugs for application in low‐risk patients who were less sensitive to immunotherapy. Overall, our findings showed that PRGs can be used to predict prognosis and may aid in the development of personalized therapeutic strategies in LUAD patients.
The Impact of Smart Sensor Networks on Improving the International Competitiveness of China’s Digital Economy Industry in the Context of the Smart Era
Authors: Hu Mingshuang
Published: October 2022

At present, intelligent sensor network technology has become a popular field with a wide range of application prospects. With the continuous development of communication protocols and component technologies, the role of intelligent sensor networks in the digital economy is growing. Intelligent sensor network technology industry is a talent-intensive, knowledge-intensive, technology-intensive, technology-intensive, and technology-intensive industry; is a strategic pillar of national development; and is an important industry to promote industrial upgrading, pulling economic development. The development of intelligent sensor network technology is an inevitable choice for China to take a new road of industrialization. In today’s world, the coordinated development of the environment and the economy is being increasingly valued by countries around the world. Therefore, from a macroscopic point of view, the development of intelligent sensor network technology industry has a very important role to play in improving its international competitiveness.
Classification System of National Music Rhythm Spectrogram Based on Biological Neural Network
Authors: Mi Dan , Qin Lu
Published: October 2022

National music is a treasure of Chinese traditional culture. It contains the cultural characteristics of various regions and reflects the core value of Chinese traditional culture. Classification technology classifies a large number of unorganized drama documents, which are not labeled, and to some extent, it helps folk music better enter the lives of ordinary people. Simulate folk music of different spectrum and record corresponding music audio under laboratory conditions Through Fourier transform and other methods, music audio is converted into spectrogram, and a total of 2608 two-dimensional spectrogram images are obtained as datasets. The sonogram dataset is imported into the deep convolution neural network GoogLeNet for music type recognition, and the test accuracy is 99.6%. In addition, the parallel GoogLeNet technology based on inverse autoregressive flow is used. The unique improvement is that acoustic features can be quickly converted into corresponding speech time-domain waveforms, reaching the real-time level, improving the efficiency of model training and loading, and outputting speech with higher naturalness. In order to further prove the reliability of the experimental results, the spectrogram datasets are imported into Resnet18 and Shufflenet for training, and the test accuracy of 99.2% is obtained. The results show that this method can effectively classify and recognize music. The experimental results show that this scheme can achieve more accurate classification. The research realizes the recognition of national music through deep learning spectrogram classification for the first time, which is an intelligent and fast new method of classification and recognition.
A Study on English Translation Skills and Modes of Multimodal Network from the Perspective of Teaching Situation
Authors: Guan Xinxin , Xing Qin , Zhang Yuwei
Published: October 2022

With the in-depth research and continuous exploration of English translation skill patterns by multimodal networks, the scope of English translation skill analysis has been extended to other aspects besides words, and the traditional single-mode English translation skill analysis has gradually changed into a systematic English translation skill analysis that integrates language, images, music, and other symbols. From the perspective of situational teaching, this paper studies the skills and modes of English translation by multimodal network. The research shows that 30 books are randomly selected from preschool children’s books, primary school books, and junior high school books, among which the highest proportion of multimodal books is 82%, 57%, and 54%, respectively, and the proportion of multimodal network books among 120 literature books is 79%. Translators have a full understanding of the translated content in situational teaching, but in the actual process of translation, they will inevitably face the situation of language integration and word order adjustment. If translators have a certain understanding of the corresponding English translation skills, they can lay a good foundation for English translation skills and ensure the accuracy of translation.
Construction of Teaching and Education Quality Improvement Model Based on Distributed Information Fusion
Authors: Zhang Qi , Li Wei
Published: October 2022

Following the growth of educational informatization, the integrated adoption of the Internet in classroom teaching has facilitated the change of instructional pattern from the conventional instructional pattern to a novel information-based instructional pattern. Based on the background of “Internet+,” a variety of new information-based classroom teaching models have emerged. However, in practice, there are still many deficiencies due to the immature application of the model. This paper proposes to use the design-based research paradigm to construct and optimize the teaching mode, and to clarify the design principles of the teaching mode. This paper analyses and designs the English lesson instruction pattern in the distributed information convergence condition from five dimensions: theoretical foundation, online instructional setting, instructional targets, instructional events, and instructional assessment, which construct an instructional pattern. It adopts the method of combining quantitative research with qualitative research and combines the experimental method, questionnaire survey method, classroom observation method, and interview method to assist the research. Through the investigation of 122 valid data, it is shown that the overall amount of classroom codes before the experiment is 57, and the overall amount of classroom codes after the experiment is 150. There is a big difference between the two. It validates the effectiveness of the English lesson instruction pattern in distributed information integration terms in improving students’ English achievement, cooperative learning ability, information literacy, and problem-solving ability.
[Retracted] The Influence of Cultural Communication on the Psychological Health of University Students in the Environment of Big Data
Authors: Yang Liu , Liu Jun
Published: October 2022

With the progress of information technology and Internet technology, many new media communication technologies are also progressing, and university students are at the forefront of the development of the Internet and the application of cultural communication. Therefore, the impact of modern cultural communication on college students is the most obvious. Time culture communication relies on time communication media, which affects university students’ psychological cognition, experience, and mental health level. University students are the high‐risk group of mental health problems. At present, most college students are mentally healthy. However, a considerable number of students’ mental health is not optimistic. Therefore, paying attention to the impact of culture on college students’ mental health plays an important role in the healthy growth of college students. However, a considerable number of students’ psychological health is not optimistic. Therefore, paying attention to the impact of culture on university students’ psychological health plays an important role in the healthy growth of university students. In this article, 300 university students were randomly selected as the subjects of this study. SCL‐90 test and related factors were used to investigate, covering 9 factors. Five common classification algorithms were trained with training sets and evaluated through verification sets. The classifier with the best effect was selected as our algorithm; it is used to discern students with psychological health problems in the test set. The experipsychological results show that precision reaches 0.68, recall reaches 0.56, and F1 measure reaches 0.67. Based on the influencing factors of university students’ psychological health, through the analysis of random samples, based on family environment, school environment, community environment, information culture environment, and other factors, this article puts forward strategies to create a warm and progressive family environment, a friendly and positive campus environment, a democratic and scientific community education environment, and a civilized and fair legal environment, so as to properly solve the psychological health problems of university students.
Extracellular Vesicles Derived from Lung Cancer Cells Induce Transformation of Normal Fibroblasts into Lung Cancer-Associated Fibroblasts and Promote Metastasis of Lung Cancer by Delivering lncRNA HOTAIR
Authors: Zhang Xiaoxuan , Zhang Yan , Qiu Xin , Cai Jing , Yang Zhenzhou , Song Fangzhou
Published: October 2022

Human lung cancer (LC) cells A549/H358, normal lung epithelial cells BEAS-2B, and lung normal fibroblasts (NFs) were cultured, followed by transfection of H358 cells with HOTAIR shRNA. Extracellular vesicles (EVs) extracted from H358 cells were identified. The internalization of Dil-labeled-EVs by NFs was tested, and protein levels of cancer-associated fibroblast (CAF) surface markers, inflammatory cytokines, cell proliferation, invasion, and migration, and lncRNA HOTAIR levels were determined. A549 cells were cultured in an H358-EVs-treated conditioned medium of NFs (NFCM), followed by intravenous injection of A549 cells into nude mice. The lesions and Ki-67-positive cells in lung tissues were measured. The results showed that tumor cell-derived EVs (T-EVs) motivated the transformation of NFs into CAFs. Specifically, EVs can be internalized by NFs, and the protein levels of CAF surface markers and inflammation levels were elevated in H358-EVs-treated NFs. The proliferation, invasion, and migration of A549 cells cultured in T-EVs-treated NFCM were increased. H358-EVs carried HOTAIR into NFs and promoted the transformation of NFs into CAFs. Inhibition of HOTAIR partially reversed the promoting effect of H358-EVs on the transformation of NFs into CAFs and invasion and migration of LC cells. T-EVs promoted metastasis of LC in vivo by transforming NFs into CAFs.
Analysis on the Ecological Concept of Ternary Interactive Education in Business English Writing
Authors: Zhang Yuwan
Published: October 2022

In order to improve the effect of business English writing education, this paper combines intelligent algorithms to study the ecological concept of ternary interactive education in business English writing and jointly identifies interference and source signals. Moreover, this paper derives the likelihood function of the received signal under the modulation mode of the interference and the source signal and jointly considers the information of the interference. The modulation recognition can well reduce the influence of interference on algorithm performance. In addition, this paper simulates the recognition performance of the likelihood function-based algorithm when the system has frequency offset and asynchronous time offset. Finally, this paper combines experimental research to verify that the business English education system based on the ternary interaction concept proposed in this paper can effectively improve the effect of business English writing education.
Edge-Aware Graph Neural Network for Multi-Hop Path Reasoning over Knowledge Base
Authors: Zhang Yanan , Jin Li , Li Xiaoyu , Wang Honqi
Published: October 2022

Multi-hop path reasoning over knowledge base aims at finding answer entities for an input question by walking along a path of triples from graph structure data, which is a crucial branch in the knowledge base question answering (KBQA) research field. Previous studies rely on deep neural networks to simulate the way humans solve multi-hop questions, which do not consider the latent relation information contained in connected edges, and lack of measuring the correlation between specific relations and the input question. To address these challenges, we propose an edge-aware graph neural network for multi-hop path reasoning task. First, a query node is directly added to the candidate subgraph retrieved from the knowledge base, which constructs what we term a query graph. This graph construction strategy makes it possible to enhance the information flow between the question and the nodes for the subsequent message passing steps. Second, question-related information contained in the relations is added to the entity node representations during graph updating; meanwhile, the relation representations are updated. Finally, the attention mechanism is used to weight the contribution from neighbor nodes so that only the information of neighbor nodes related to the query can be injected into new node representations. Experimental results on MetaQA and PathQuestion-Large (PQL) benchmarks demonstrate that the proposed model achieves higher Hit@1 and F1 scores than the baseline methods by a large margin. Moreover, ablation studies show that both the graph construction and the graph update algorithm contribute to performance improvement.
Application of Three-Dimensional Image Reconstruction Technology in Neurogenic Intestinal Nursing Tasks
Authors: Shen Yinli , Huang Xiaoxing , Zhang Yue , Pan Jing , Liu Yaxin , Jiang Yunlan
Published: October 2022

Neurogenic intestinal care is currently a major research topic in the medical field. In order to improve the accuracy of neurogenic intestinal care and simplify the process of neurogenic intestinal care, this paper adopts a three-dimensional analysis theory to extract the key indicators in neurogenic intestinal care. Through the analysis and calculation of the test data, the calculation results of neurogenic intestinal care under the effect of three-dimensional reconstruction technology were obtained. Through the analysis of the results, the calculation law under the action of the optimization model can be obtained. Based on the three-dimensional reconstruction theory, the contents of neurogenic intestinal care were analyzed by the three-dimensional reconstruction de-highlighting algorithm. The three-dimensional curve was used to screen the key indicators of neurogenic intestinal care, so as to obtain the optimized heavy weight model, and the three-dimensional reconstruction model can analyze the indicators of neurogenic intestinal care. It can be seen from relevant studies that different indicators have different trends in their range of change in the curve projection diagram of the 3D curve screening method. Among them, the curve shadow and curve point have obvious downward changes, while the curve deviation has U-shaped changes. The range of curve weights is relatively large. The variation rule between different data in the 3D curve segment can be obtained through the cost function. Among them, the cost function index and the cost model parameter have the same change trend, and the overall fluctuation range is relatively small through the space index. In the calculation results of neurogenic intestinal care, different factors will have a great influence on the calculation results. Neurons and intestinal peristalsis have the same change trend, while the linear characteristics of nerve endings are relatively obvious, and the fluctuation characteristics of gastrointestinal digestion are good. The health standard decreases linearly with the increase of the sample, and the dynamic reconstruction has a positive effect on the data. This study can provide research ideas for the analysis of neurogenic gut.
SELHR: A Novel Epidemic-Based Model for Information Propagation in Complex Networks
Authors: Xiang Nan , Tang Xiao , Liu Huiling , Ma Xiaoxia
Published: October 2022

The study of information spreading based on the complex network theory and topological structure has become an important issue in complex networks. Plenty of infectious disease models are widely used for information diffusion research in complex networks. Based on these state-of-the-art models, a new epidemic dynamic model with dynamic evolution equations is proposed and performed on the homogeneous and heterogeneous networks, respectively, in this paper. Meanwhile, we divide the propagation states into two states: L and H (low propagation ability groups and high propagation ability groups) and consider the transformation of these two states in our model. Then, the equilibria and stability of the model are analyzed for both homogeneous and heterogeneous networks to verify the validity of the proposed model. Finally, simulation results illustrate that the proposed model and information propagation dynamic evolution equations are reasonable and effective. Experiments with effect factors also reveal the interaction mechanism and the diffusion process of the proposed model in complex networks.