bluuebunny/crossref_metadata_2025 huggingface dataset:
Eocene–Oligocene glaciation on a high central Tibetan Plateau
Authors: Xia Guoqing , Wu Chihua , Mansour Ahmed , Jin Xin , Yi Haisheng , Li Gaojie , Fan Qiushuang , Shi Zhiqiang , Murton Julian B. , Pei Junling , Rodríguez-López Juan Pedro
Published: April 2023

The nature of glaciation (bipolar vs. unipolar) during the Eocene–Oligocene transition (EOT) remains unresolved. Here, we report the occurrence of frost marks, ice-rafted debris (IRD), and glendonites from the Upper Eocene to Lower Oligocene Niubao Formation (Fm.) deposited in a proglacial lake above glaciolacustrine conglomerates and diamictite facies in the Lunpola Basin, central Tibetan Plateau (CTP). Magnetostratigraphy dates these cryospheric deposits to ca. 36.2–31.8 Ma, synchronous with a stratigraphic interval containing IRD offshore of SE Greenland and in the Barents, Chukchi, and Laptev Seas, suggesting a strong continental-oceanic coupling. Our results provide robust continental evidence for intermittent cryospheric processes in the midlatitude Northern Hemisphere during the late Eocene and EOT. The global cold snap EOT-1 influenced already glacierized high-altitude mountains, lowering equilibrium line altitudes (ELAs) of glaciers and leading to local development of ice fields, ice caps, and valley glaciers with proglacial lake systems, such as the one recorded in the Niubao Fm. The record of IRD, glendonites, and frost marks before the onset of EOT-1 points to an active cryosphere on a plateau already elevated by ca. 36.2 Ma.
Adenoid hypertrophy in children: a narrative review of pathogenesis and clinical relevance
Authors: Niedzielski Artur , Chmielik Lechosław Paweł , Mielnik-Niedzielska Grażyna , Kasprzyk Anna , Bogusławska Joanna
Published: April 2023

Adenoids (nasopharyngeal tonsils), being part of Waldeyer’s ring, are masses of lymphoid tissues located at the junction of the roof and the posterior wall of the nasopharynx. Adenoids play an important role in the development of the immune system and serve as a defence against infections, being the first organs that come into contact with respiratory and digestive antigens. The causes of adenoid hypertrophy are not fully known. They are most likely associated with aberrant immune reactions, infections, environmental exposures and hormonal or genetic factors. The aim of this review is to summarise the current knowledge of adenoid hypertrophy in children and associated diseases. Adenoid hypertrophy has many clinical manifestations that are frequent in the paediatric population and is accompanied by various comorbidities.
With great power comes great vulnerability: an ethical analysis of psychedelics’ therapeutic mechanisms proposed by the REBUS hypothesis
Authors: Villiger Daniel , Trachsel Manuel
Published: April 2023

Psychedelics are experiencing a renaissance in mental healthcare. In recent years, more and more early phase trials on psychedelic-assisted therapy have been conducted, with promising results overall. However, ethical analyses of this rediscovered form of treatment remain rare. The present paper contributes to the ethical inquiry of psychedelic-assisted therapy by analysing the ethical implications of its therapeutic mechanisms proposed by the relaxed beliefs under psychedelics (REBUS) hypothesis. In short, the REBUS hypothesis states that psychedelics make rigid beliefs revisable by increasing the influence of bottom-up input. Put differently, patients become highly suggestible and sensitive to context during a psychedelic session, amplifying therapeutic influence and effects. Due to that, patients are more vulnerable in psychedelic-assisted therapy than in other therapeutic interventions; they lose control during a psychedelic session and become dependent on the therapeutic setting (including the therapist). This enhanced vulnerability is ethically relevant and has been exploited by some therapists in the past. Therefore, patients in current research settings and starting mainstream medical settings need to be well informed about psychedelics’ mechanisms and their implications to give valid informed consent to treatment. Furthermore, other security measures are warranted to protect patients from the vulnerability coming with psychedelic-assisted therapy.
Comparing a novel Catfish flow restoration device and the Solitaire stent retriever for thrombectomy revascularisation in emergent largevessel occlusion stroke: a prospective randomised controlled study
Authors: Luo Gang , Yan Xiaoyan , Xiao Guodong , Wei Liping , Nai bi jiang Ya li kun , Ma Rongyao , Chen Wenhuo , Fang Chun , Zhou Zhiming , Wan Jieqing , Peng Ya , Zhang Guilian , Zhao Junfeng , Li Li , Yuan Haicheng , Wu Jin , Li Bing , Zhang Fan , Cheng Yuhong , Gao Feng , Miao Zhongrong
Published: April 2023

Background

The Catfish stent retriever is a newly developed mechanical thrombectomy device for rapid recanalisation in emergent large vessel occlusion (ELVO) stroke. The current trial aimed to assess whether the Catfish stent retriever is non-inferior to the Solitaire stent retriever in terms of outcomes in ELVO stroke.

Methods

This was a randomised, prospective, parallel-group, multicentre, open-label, non-inferiority study conducted at 18 sites in China. The primary outcome was the proportion of cases with successful recanalisation (modified thrombolysis in cerebral infarction score of 2b or 3) following the procedure. Secondary efficacy outcomes included the National Institutes of Health Stroke Scale scores at 24 hours and 7 days or discharge if earlier, time from artery puncture to successful recanalisation and good clinical outcome (modified Rankin scale score ≤2) at 90 days. Safety outcomes included symptomatic intracranial haemorrhage, all cause-death and severe adverse events at 90 days.

Results

Between 3 March 2019 and 5 June 2021, 118 and 120 patients were randomly allocated to the Catfish and Solitaire groups, respectively. The primary endpoint after all endovascular procedures was non-inferior in the Catfish group (88.5%, 100/113) than in the Solitaire group (87.7%, 100/114), with a rate difference (RD) of 0.78% (95% CI –7.64 to –9.20; p=0.001). Sensitivity analysis only considering the per-protocol set also yielded similar results, with an RD of 0.83% (95% CI –7.03 to –8.70; p<0.001). Additionally, the proportions of cases with good clinical outcomes (47.8% vs 50.0%, p=0.739) and all-cause death rates (17.7% vs 18.8%, p=0.700) were similar in both groups at 90 days.

Conclusions

The Catfish stent retriever is an effective and safe device for endovascular recanalisation in ELVO stroke.

Trial registration number

NCT03820882.
The g-Good-Neighbor Conditional Diagnosabilities of Hypermesh Optical Interconnection Networks Under the PMC and Comparison Models
Authors: Li Xianyong , Huang Jiaming , Du Yajun , Fan Yongquan , Chen Xiaoliang
Published: April 2023

Processor fault diagnosis is intended to identify faulty processors of a multicomputer system, guaranteeing its high reliability and availability. The [Formula: see text]-good-neighbor conditional diagnosability is a novel fault diagnosis method for various networks. Under the PMC model and comparison model, the [Formula: see text]-good-neighbor conditional diagnosabilities of hypermesh optical interconnection networks are determined, respectively. Directly applying the results, the [Formula: see text]-good-neighbor conditional diagnosabilities of hypercubes are derived under the PMC and comparison models.
Quantum private information retrieval over a collective noisy channel
Authors: Yang Yu-Guang , Yang Peng-Ze , Xu Guang-Bao , Zhou Yi-Hua , Shi Wei-Min
Published: April 2023

Quantum Private Information Retrieval (QPIR) allows a user (Alice) to retrieve a database item from the database owned by the database holder (Bob) in such a way that Alice can query only the database item she wants, but cannot get other items, and Bob does not know which item Alice queries. However, the real quantum channel between Alice and Bob is noisy, and the noise may result in not only the chance that Alice obtains a false item, but also that both parties may cheat by camouflaging themselves with noise. In this paper, we use the decoherence-free subspace (DFS) for QPIR, which we call DFS-QPIR. The DFS-QPIR protocol removes the effect of the channel noise on the errors in the retrieved item so that two parties cannot cheat by replacing the noisy channel with a noiseless one. It can work over a collective noisy channel while retaining high reliability, database security and user privacy simultaneously. While only the collective unitary noise is taken into account, the proposed DFS-QPIR protocol can be straightforwardly extended to more general collective noise channel.
Popularity Prediction Model With Context, Time and User Sentiment Information: An Optimization Assisted Deep Learning Technique
Authors: Mannepalli Kasiprasad , Singh Suryabhan Pratap , Kolli Chandra Sekhar , Raj Sundeep , Bojja Giridhar Reddy , Rajakumar B. R. , Binu D.
Published: April 2023

In social media, the data-sharing activities have turned out to be more pervasive; individuals and companies have comprehended the significance of promoting info by social media network. However, these individuals and companies face more challenges with the issue of “how to obtain the full benefit that the platforms provide”. Therefore, social media policies to improve the online promotion are turning out to be more significant. The popularization of social media contents are related to public attention and interest of users, thus the popularity fore cast of online contents has considered being the major task in social media analytic and it facilitates several appliances in diverse domain as well. This paper intends to introduce a popularity forecast approach that derives and combines the richest data of “text content encoder, user encoder, time series encoder, and user sentiment analysis”. The extracted features are then predicted via Long Short Term Memory (LSTM). Particularly, to enhance the prediction accuracy of the LSTM, the weights are fine-tuned via Self Adaptive Rain optimization (SA-RO).
MEDICAL METAVERSE: TECHNOLOGIES, APPLICATIONS, CHALLENGES AND FUTURE
Authors: SHAO LIANGJING , TANG WEI , ZHANG ZIQUN , CHEN XINRONG
Published: April 2023

Currently, medical technology is developing rapidly and more medical problems are being solved. However, the shortage of medical resources and the high cost of medical care have become severe medical problems in response to the needs of patients. The continuous improvement of medical experience and quality is one of the most critical issues and is widely valued. The metaverse is an emerging digital space that integrates all kinds of technologies, including artificial intelligence, virtual reality, augmented reality, internet technology, blockchain and digital twin, etc. These technologies can ensure an immersive experience in the metaverse for humans to complete various tasks efficiently. Many fields, including video games, industrial production and medical service, have started to pay attention to the application of the metaverse. In the medical field, medical personnel can use the metaverse to achieve efficient diagnosis, education and treatments. And the interaction between medical personnel and patients in digital space can be strong. In this paper, we review the technologies and the applications of the metaverse and explore the potential of the metaverse in healthcare from several application scenarios. Based on this, the current challenges are analyzed and the possible solutions are proposed as the future direction of medical metaverse.
Lower extremity muscle strength equation of older adults assessed by Five Time Sit to Stand Test (FTSST)
Authors: Tapanya Weerasak , Sangkarit Noppharath , Amput Patchareeya , Konsanit Saisunee
Published: April 2023

Background: The decline in lower limb muscle strength, one of the risk factors for falling in the older adults, puts older persons at an increased risk of falling. The assessment of the lower limb muscle strength is very important.

Objective: The purpose of this study was to construct the equation for predicting knee extensor muscle strength based on demographic data and the results of the Five-Time Sit-to-Stand Test (FTSST).

Methods: A total of 121 healthy elders (mean age [Formula: see text]) were asked to complete the FTSST and submit the demographic information. By using a stationary push–pull dynamometer, the knee extensor strength of each participant was assessed. The multiple regression analysis was used to explore knee extensor strength prediction equation.

Results: The findings demonstrated that the knee extensor strength equation was developed using variables obtained from gender, weight, and time to complete the FTSST. The equation was found to have a high correlation ([Formula: see text]) and 70.1% estimation power. Its formula was as follows: Knee extensor [Formula: see text] (gender; [Formula: see text] or [Formula: see text])[Formula: see text][Formula: see text][Formula: see text]0.189 (weight)[Formula: see text]−[Formula: see text]2.617 (time to complete the FTSST). However, there was an estimating error in this equation of 4.72[Formula: see text]kg.

Conclusion: The determining factors influencing knee extensor strength, which can be utilized to estimate the strength in elderly individuals, are demographic variables including gender, weight, and the time taken to complete the FTSST.
Offset responses in primary auditory cortex are enhanced after notched noise stimulation
Authors: Schilling Achim , Choi Byunghee , Parameshwarappa Vinay , Norena Arnaud J.
Published: April 2023

Notched noise (white noise with embedded spectral gap) causes significant excitatory offset responses in the auditory cortex of awake and anesthetized guinea pigs. The largest offset responses were located in the infragranular/granular layers, and current source density analysis revealed that offset responses were associated with an early current sink localized in the upper infragranular layers. We discuss the possibility that the offset responses might be associated with an auditory phantom percept (Zwicker tone).
IL-1β and Allergy: Focusing on Its Role in Allergic Rhinitis
Authors: Wang Han-Rui , Wei Shi-Zhuang , Song Xiao-Yu , Wang Yao , Zhang Wen-Bin , Ren Chao , Mou Ya-Kui , Song Xi-Cheng
Published: April 2023

Allergic rhinitis (AR) is a chronic upper airway immune-inflammation response mediated by immunoglobulin E (IgE) to allergens and can seriously affect the quality of life and work efficiency. Previous studies have shown that interleukin-1β (IL-1β) acts as a key cytokine to participate in and promote the occurrence and development of allergic diseases. It has been proposed that IL-1β may be a potential biomarker of AR. However, its definitive role and potential mechanism in AR have not been fully elucidated, and the clinical sample collection and detection methods were inconsistent among different studies, which have limited the use of IL-1β as a clinical diagnosis and treatment marker for AR. This article systematically summarizes the research advances in the roles of IL-1β in allergic diseases, focusing on the changes of IL-1β in AR and the possible interventions. In addition, based on the findings by our team, we provided new insights into the use of IL-1β in AR diagnosis and treatment, in an attempt to further promote the clinical application of IL-1β in AR and other allergic diseases.
Impact of Parameter Tuning with Genetic Algorithm, Particle Swarm Optimization, and Bat Algorithm on Accuracy of the SVM Model in Landslide Susceptibility Evaluation
Authors: Yang Cheng , Fa-you A. , Wu Yu-Feng , Yan Shi-qun , Zhu Chuan-bing , Zhang Hua
Published: April 2023

As one of the most serious geological hazards, landslides affect infrastructure construction. Thus, it is vital to prepare reliable landslide susceptibility evaluation maps to avoid landslide‐prone areas in construction projects. More studies on landslide susceptibility using machine learning have emerged in recent years, but there is a need to study ways to draw up high‐precision evaluation maps. In this article, a 60 km oil pipeline in China’s Kunming was selected as the research area. The data of 141 landslide points in the research area were obtained through field work and data collection. Meanwhile, lithology, elevation, aspect, slope, stream power index, topographic wetness index, average annual rainfall from 2017 to 2021, distance to roads, and terrain roughness were selected as causal factors of landslide susceptibility in the research area. First, the information value method was used to quantify the impact of conditional factors on landslides. Genetic algorithm (GA), particle swarm optimization (PSO), and bat algorithm (BA) were then used for parameter tuning, and the support vector machine (SVM) was used to analyze landslide susceptibility in the research area. Finally, the receiver operating characteristic (ROC) curve was used to test the model performance after parameter tuning with GA, PSO, and BA. The results show that the area‐under‐the‐curve (AUC) values obtained through SVM, GA‐SVM, PSO‐SVM, and BA‐SVM are 81.1%, 86.2%, 89%, and 91.8%, respectively. SVM had the best performance after parameter tuning with the BA algorithm.
Public School Adolescents Had Increased Odds of Being Willing to Uptake HPV Vaccinations Owing to Sociodemographic and Healthcare Access Features in Bahir Dar City, Ethiopia
Authors: Shitu Birhanu Feleke , Atnafu Desta Debalkie , Agumas Yeshambel
Published: April 2023

Background. Cervical cancer is one of the most prevalent and fatal malignancies in women worldwide. Despite the fact that vaccination is an effective method in reducing cervical cancer, its uptake varies between public and private school adolescents and remains a challenge in low‐ and middle‐income countries, including Ethiopia. Empirical evidence on how much variation there is among public and private school adolescent in their willingness to uptake human papillomavirus (HPV) vaccination is also limited. Thus, the aim of this study was to compare levels of willingness to uptake HPV vaccination among public and private school female adolescents and associated factors in Bahir Dar City, Ethiopia. Methods. A comparative cross‐sectional study was conducted on 844 adolescents aged 10 to 19 in primary schools in Bahir Dar, Ethiopia. Multistage sampling was used. A self‐administered, structured, and pretested questionnaire was used to collect data. The determinants of willingness to accept HPV vaccination were identified using logistic regression, and exploratory factor analyses were performed to determine load and mean. The level of statistical significance was determined using a P ‐ value of 0.05. Results. The overall proportion of willing to uptake HPV vaccination was 50.6% (95% CI: 47.4‐54), whereas in public and private primary schools, the magnitude was 61% (95% CI: 56.3‐65.4%) and 40.2% (95% CI: 35.6‐44.9), respectively. In terms of willingness to uptake HPV vaccination, the odds were likely to be significantly higher among those whose mothers had a postsecondary education (AOR = 2.0, 95% CI: 1.29‐3.05), a high cue to action (AOR = 1.92, 95% CI: 1.20‐3.05), and high self‐efficacy (AOR = 2.34, 95% CI: 1.58‐3.48). High perceived barriers likely decreased the willingness to uptake HPV vaccination (AOR = 0.49, 95% CI: 0.34‐0.70). Conclusion. Adolescent girls in public primary schools were more likely to uptake HPV vaccination than those in private provided that income status and socioeconomic factors became less important. Willingness to uptake HPV vaccination was found to be low as compared to the WHO target for Ethiopian context and was influenced by maternal education status, perceived barriers, cues to action, and self‐efficacy. As a result, greater emphasis should be placed on implementing a school‐based and maternal educational program on cervical cancer prevention and control focusing on the behavioral contexts.
Microwave Drying Modelling of Stevia rebaudiana Leaves Using Artificial Neural Network and Its Effect on Color and Biochemical Attributes
Authors: Kalsi Baldev Singh , Singh Sandhya , Alam Mohammed Shafiq , Bhatia Surekha
Published: April 2023

Stevia rebaudiana has grown in popularity and consumption across the world as an excellent natural sweetener due to its 300 times sweetness than sugar. Since Stevia leaves are often used in their dried state, the drying process has an inevitable effect on the attributes of finished product. In this study, Stevia leaves were microwave dried at five different levels of powers ranging from 180 to 900 W to evaluate the influence of power levels on moisture ratio (MR), drying rate and time, effective moisture diffusivity, specific energy consumption (SEC), color, and biochemical characteristics. Among the five selected thin layer models for evaluating the drying behavior, the semiempirical page model described the drying kinetics very well with R2 > 0.997. The effective diffusivity increased from

3.834
×

10

−
11

to

1.997
×

10

−
10

 m2/s with increasing microwave power, while SEC first increased till 320 W to a value of 9.77 MJ/kg and then followed a decreasing trend. Furthermore, multilayer feed forward (MLF) artificial neural network (ANN) using backpropagation algorithm was used to predict the moisture ratio of Stevia leaves during microwave drying. The result showed that the ANN model with 15 neurons in 1 hidden layer could predict the MR with a high R2 value (0.999). Thus, ANN modelling can successfully be used as an effective tool for predicting drying kinetics of samples. Furthermore, the color properties showed significant differences between fresh and dried samples except for the hue angle, and the variation in their values was not affected by the microwave dryer’s power output. At 720 W power level, the highest content of stevioside (11.84 mg/g) and rebaudioside A (7.11 mg/g) along with maximum retention of ascorbic acid (∼86%) was observed, while the highest total phenol content (56.98 mg GAE/g) and antioxidant capacity (74.22%) was reported in microwave dried samples at 900 W.
The Effects of Helicobacter pylori‐Derived Outer Membrane Vesicles on Hepatic Stellate Cell Activation and Liver Fibrosis In Vitro
Authors: Bolori Shahin , Shegefti Saina , Baghaei Kaveh , Yadegar Abbas , Moon Kyung-Mee , Foster Leonard J. , Nasiri Mohammad Javad , Dabiri Hossein
Published: April 2023

Introduction. Helicobacter pylori is a prevalent pathogenic bacterium that resides in the human stomach. Outer membrane vesicles (OMVs) are known as nanosized cargos released by H. pylori, which have been proposed to have a key role in disease progression, pathogenesis, and modulation of the immune system. There are multiple evidences for the role of H. pylori in extragastroduodenal illnesses especially liver‐related disorders. However, the precise mechanism of H. pylori extragastroduodenal pathogenesis still remains unclear. In the current study, we aimed to determine the impact of H. pylori‐isolated OMVs on hepatic stellate cell (HSC) activation and expression of liver fibrosis markers. Materials and Methods. Five H. pylori clinical strains with different genotype profiles were used. Helicobacter pylori OMVs were isolated using ultracentrifugation and were analyzed by scanning electron microscopy (SEM) and dynamic light scattering (DLS). Liquid chromatography coupled with tandem mass spectrometry (LC‐MS/MS) analysis was applied to determine protein components of H. pylori‐derived OMVs. Cell viability of LX‐2 human hepatic stellate cell line exposed to OMVs was measured by MTT assay. LX‐2 cells were treated with OMVs for 24 h. The gene expression of α‐SMA, E‐cadherin, vimentin, snail, and β‐catenin was analyzed using quantitative real‐time PCR. The protein expression of α‐SMA, as a well‐studied profibrotic marker, was evaluated with immunocytochemistry. Results. Our results showed that H. pylori strains released round shape nanovesicles ranging from 50 to 500 nm. Totally, 112 various proteins were identified in OMVs by proteomic analysis. The isolated OMVs were negative for both CagA and VacA virulence factors. Treatment of HSCs with H. pylori‐derived OMVs significantly increased the expression of fibrosis markers. Conclusions. In conclusion, the present study demonstrated that H. pylori‐derived OMVs could promote HSC activation and induce the expression of hepatic fibrosis markers. Further research is required to elucidate the definite role of H. pylori‐derived OMVs in liver fibrosis and liver‐associated disorders.
Novel Benzothiazole Derivatives Synthesis and its Analysis as Diuretic Agents
Authors: Kemisetti Durgaprasad , Amin Ruhul , Alam Faruk , Gacem Amel , Emran Talha Bin , Alsufyani Taghreed , Alqahtani Mohammed S. , Islam Saiful , Matin Mohammed Mahbubul , Jameel Mohammed
Published: April 2023

Benzothiazoles, an anticonvulsant, antiviral, antihypertensive, and cancer‐fighting medication of the heterocyclic scaffold family, also acts as antibacterial and antiviral agents. There is much interest in this chemical’s production because of the strong and vital biological action it possesses. Substituted aromatic aldehydes were combined with 2‐amino‐benzothiazole‐6‐sulfonic acid amides, or Schiff base derivatives, to create Schiff base derivatives. Recrystallized, characterized, and tested for diuretic efficacy in vivo using online tools, m.p. (melting point), Rf, FTIR (Fourier transform infrared), 1H‐NMR (proton nuclear magnetic resonance) data The molecular characteristics of all the substances created were estimated using Lipinski’s rule of 5, OSIRIS (software) molecular property explorer, Molsoft, and Autodock 4.0 docking software. Male Wistar rats were used to make all the compounds traditionally in order to test for diuretic activity. Neither the elemental nor the spectral information for the synthesized compounds disagreed. There were five different methods used to evaluate these compounds: Lipinski rule of five, Molsoft to determine molecular characteristics, PASS (prediction of activity spectra for substances) values to determine the diuretic effect, and OSIRIS software to determine toxicology. In order to investigate the diuretic effects of the selected drugs, docking analysis was used. Acetazolamide was shown to have a diuretic effect that was superior to that of compounds IIIb and IIIe, whereas 2‐{(E)‐[(3‐hydroxyphenyl)methylidene]amino}‐1,3‐benzothiazole‐6‐sulfonamide (IIIb) was found to be the most promising potential.
A New Fundamental Asymmetric Wave Equation and Its Application to Acoustic Wave Propagation
Authors: Musielak Z. E.
Published: April 2023

The irreducible representations of the extended Galilean group are used to derive the symmetric and asymmetric wave equations. It is shown that among these equations only a new asymmetric wave equation is fundamental. By being fundamental the equation gives the most complete description of propagating waves as it accounts for the Doppler effect, forward and backward waves, and makes the wave speed to be the same in all inertial frames. To demonstrate these properties, the equation is applied to acoustic wave propagation in an isothermal atmosphere, and to determine Lamb’s cutoff frequency.
Building a Knowledge Base of Bridge Maintenance Using Knowledge Graph
Authors: Zhang Yang , Liu Jia , Hou Kepeng
Published: April 2023

To effectively manage the heterogeneous and discrete knowledge of the bridge maintenance domain, this study adopts knowledge graph technology to build a knowledge base of bridge maintenance, called the bridge maintenance knowledge graph (BMKG). The BMKG uses an ontology as the knowledge organization and representation framework and a graph database as the knowledge storage tool. To facilitate the construction of the BMKG, a hybrid method combining a top-down approach and a bottom-up approach is proposed. Firstly, a bridge maintenance domain ontology (BMDO) is coded with Protégé and represented in Web Ontology Language. Secondly, rule reasoning and ontology reasoning are implemented on the BMDO in Protégé in order to automatically complete missing relations or attribute values. Thirdly, ontology reasoning is adopted to perform consistency check on the BMDO. Lastly, the BMDO model is stored in the Neo4j graph database through data format conversion, thus completing the construction of the BMKG. The BMKG is applied in a typical scenario of bridge maintenance to demonstrate its application value. Results show that the proposed hybrid method can create a knowledge graph that can realize the transformation from discrete data into interconnected knowledge. Knowledge graph offers a novel idea to create a knowledge base in the bridge maintenance domain.
Potential Role of Extracellular CIRP in Total Aortic Arch Replacement under Hypothermic Circulatory Arrest
Authors: Chen Ke , Wang Dongxu , He Yuanchen , Fang Minhua , Hou Peng , Tan Yiming , Liu Yu , Jin Yan , Yu Liming , Zhang Yong
Published: April 2023

Objectives. To investigate the potential role of extracellular cold-inducible RNA-binding protein (CIRP) in total aortic arch replacement under hypothermic circulatory arrest. Methods. The serum extracellular CIRP levels at five time points in 96 patients with Stanford A aortic dissection were detected. Overall change trend of CIRP levels at five time points was described, and the risk factors for 30-day mortality after surgery were analyzed. Results. The serum extracellular CIRP levels increased gradually after surgery, starting to rise significantly at approximately 12 h postoperatively, reaching or approaching a peak at approximately 24 h postoperatively, and ceasing to rise significantly after approximately 48 h postoperatively. Age, troponin-I, urodilatin, cooling time, cardiopulmonary bypass time, cross-clamp time, duration of surgery, and CIRP level at the end of surgery in the death group were significantly higher than those in the survival group. Multivariable analysis indicated that CIRP level at the end of surgery, age, urodilatin, and cross-clamp time were independent risk factors for postoperative 30-day mortality. Conclusion. Extracellular CIRP is closely related to the perioperative condition and prognosis of hypothermic circulatory arrest.
The Seepage Evolution Mechanism of Variable Mass of Broken Rock in Karst Collapse Column under the Influence of Mining Stress
Authors: Xiao-Lei Li , Xin-Lei Li , Yue Wang , Wei-Hang Peng , Xuan Fan , Zheng-Zheng Cao , Rui-Fu Liu
Published: April 2023

When the collapse column of overburden is disturbed by the working face, the grain loss in the karst collapse column occurs by the dissolution and corrosion of groundwater, thereby inducing the water inrush disaster. The test samples are prepared based on the fractal theory and the Talbol grading theory, and the seepage evolution law of fractured rock in collapse column under triaxial stress is studied, by employing the triaxial seepage test equipment. Besides, the seepage mechanics model of broken rock is established and calculated in the COMSOL Multiphysics, and the water-conducting channel under mass loss condition in the collapse column is further elucidated. The research results indicate that the loss ratio of mass is inversely proportional to the Talbol power index, and grain mass loss rate increases with the decrease of the Talbol power index. During the infiltration process, the evolution of pore structure is related with grain size distribution. With the increase of the Talbol power index, the overall porosity increases. Grain loss is an internal factor in seepage loss stability. Flow speed is accelerating, and seepage pathways are communicated with each other to induce the water inrush disaster.
Research on Body Tube Vibration Response of Small Combat Robots Motion
Authors: Gao Xin’an , Guan Xiaorong , Zou Kaifan , Wang Zheng , Kang Jinyu
Published: April 2023

As a hot topic in military research, small combat robots are always in a dynamic process when traveling, causing the body tube to vibrate which affects its firing accuracy. Different from the traditional two‐degree‐of‐freedom combat robot, this paper establishes a rigid‐flexible coupling dynamics model for the new three‐degree‐of‐freedom combat robot to study the response characteristics of its body tube during travel. To accurately reflect the driving conditions of the mobile robot, a road surface unevenness model was established using the sine wave superposition method. The firing accuracy of a small combat robot can be affected by the speed and road conditions, as shown in numerous studies. The effects of arm structure, arm mounting position, and firing angle on the vibration response of the body tube are analyzed in this paper. The results show that a reference for improving the design of small combat robots can be found in a correlation between the structure, mounting position, and firing angle of the robotic arm, and the body tube’s vibration response.
Collaboration and Management of Heterogeneous Robotic Systems for Road Network Construction, Management, and Maintenance under the Vision of “BIM + GIS” Technology
Authors: Liu Zhizhong , Yan Weishen , Kou Jianguo , Li Zhida
Published: April 2023

In modern society, intelligent spatial analysis services have been playing an important role in building smart cities. Especially, people’s spatial information needs have changed with the technological progress of times, from traditional two-dimensional appearance to three-dimensional interior. In this case, the construction of street networks is a key part of spatial information analysis research. Establishing an integrated indoor-outdoor street network data model with accurate information and complete attributes can provide strong technical support for indoor-outdoor navigation, emergency evacuation, and other application services. However, most of the current studies on internal and external road networks are independent of each other. This means that indoor road networks are mainly based on floor plans, which contain little information and do not represent the spatial relationships between floors. Indoor and outdoor links often suffer from poor connectivity and data loss. Heterogeneous robotics is a high degree of integration of intelligent control and platform control technologies. In a sense, it is a technology platform for connecting heterogeneous robotic populations. By developing effective collaboration and control strategies, tasks can be performed with the highest success rate and the lowest risk while respecting spatial and temporal constraints. As a result, the study of the coordination and management of heterogeneous robotic systems for road network construction, management, and maintenance is a topic of a great theoretical value and significance. Therefore, this paper proposes an intelligent road network construction method that incorporates BIM and GIS technologies. This study uses the building information model to enrich the information of indoor building components and combines the strong spatial analysis capability of outdoor areas with GIS road network technology to build an indoor road network and design a connection scheme for indoor and outdoor areas. After that, the construction of an integrated indoor-outdoor street network is completed, and the interaction between indoor as well as outdoor spatial data is very smooth.
Possible Effects of Acupuncture in Poststroke Aphasia
Authors: Zhuo Bifang , Deng Shizhe , Li Boxuan , Zhu Weiming , Zhang Menglong , Qin Chenyang , Meng Zhihong
Published: April 2023

Neural plasticity promotes the reorganization of language networks and is an essential recovery mechanism for poststroke aphasia (PSA). Neuroplasticity may be a pivotal bridge to elucidate the potential recovery mechanisms of acupuncture for aphasia. Therefore, understanding the neuroplasticity mechanism of acupuncture in PSA is crucial. However, the underlying therapeutic mechanism of neuroplasticity in PSA after acupuncture needs to be explored. Excitotoxicity after brain injury affects the activity of neurotransmitters and disrupts the transmission of normal neuron information. Thus, a helpful strategy of acupuncture might be to improve PSA by affecting the availability of these neurotransmitters and glutamate receptors at synapses. In addition, the regulation of neuroplasticity by acupuncture may also be related to the regulation of astrocytes. Considering the guiding significance of acupuncture for clinical treatment, it is necessary to carry out further study about the influence of acupuncture on the recovery of aphasia after stroke. This study summarizes the current research on the neural mechanism of acupuncture in treating PSA. It seeks to elucidate the potential effect of acupuncture on the recovery of PSA from the perspective of synaptic plasticity and integrity of gray and white matter.
Efficient Data Collection in UAV‐Assisted Cluster‐Based Wireless Sensor Networks for 3D Environment: Optimization Study
Authors: Abu-Baker Amjad , Shakhatreh Hazim , Sawalmeh Ahmad , Alenezi Ali H.
Published: April 2023

Unmanned aerial vehicles (UAVs) have been recently employed in combination with wireless sensor networks (WSNs) to collect data efficiently and improve surveillance effectiveness. This integration enhances the WSN infrastructure where UAVs are used as aerial base stations from which to access wireless sensors in hard‐to‐reach places within surveillance area. Consequently, the UAVs have become a promising solution to maintain reliability for the communication between wireless sensors and base station particularly in cases where infrastructure becomes unavailable such as hilly terrains and emergencies. However, UAVs encounter many challenges which mainly focus on their lifespan and efficient placement that improves the coverage and data collection. In this paper, a novel optimization study is presented to improve the lifespan of UAV‐assisted cluster‐based WSNs deployed in 3D environment. This optimization study is based on two algorithms: (1)Particle Swarm Optimization(PSO) which is employed to address the clustering problem in the WSN and (2)Genetic Algorithm(GA) which is employed to locate an efficient UAV placement to maximize the lifetime. The UAV‐WSN system is evaluated by considering two metrics:lifetimeandthroughput. The simulation results show that varying UAV altitude has significant impact on both lifetime and throughput especially in the presence of different terrain. With increasing altitude, lifetime and throughput decrease as this loss can be as high as 94%. However, the proposed optimization plays a major role in combating these losses by redirecting the UAV to efficient placement corresponding to the new altitude level to maintain maximum lifetime and throughput. Moreover, the system lifetime concerning efficient UAV placement outperforms the one concerning centered placement at lower altitude, while the difference between two cases becomes less at higher altitude. Thereby, these outcomes may provide interesting measures for designing such integrated systems to achieve efficient data collection.
Dynamic Student Data Management Using Resource Optimization Technology in Higher Education Platforms
Authors: Lu Chenghao , Saeed Omer
Published: April 2023

This study combines intelligent resource optimization technology to build a dynamic student data management model and suggests a fuzzy hierarchical network representation model based on isomorphism and homogeneity in order to increase the effectiveness of dynamic student data management in colleges and universities. The important semantics of nodes in the network are also captured in this study using fuzzy k-kernel decomposition as a technique for multigranularity partitioning. Based on the SIR model, FHNE compares the production of the sequence to the process of information transmission in the random walk stage, which increases the node sequence’s accuracy. According to the research, the dynamic student data management system that is used in the higher education platform that is suggested in this study can significantly increase the effectiveness of managing student data.
Supplementary Table 3 from Low-Carbohydrate Diet Score and the Risk of Colorectal Cancer: Findings from the Singapore Chinese Health Study
Authors: Yu Yi-Chuan , Paragomi Pedram , Jin Aizhen , Wang Renwei , Schoen Robert E. , Koh Woon-Puay , Yuan Jian-Min , Luu Hung N.
Published: April 2023

Supplementary Table S3 describes results from models without BMI variable adjustment (overall)
Supplementary Table 2 from Low-Carbohydrate Diet Score and the Risk of Colorectal Cancer: Findings from the Singapore Chinese Health Study
Authors: Yu Yi-Chuan , Paragomi Pedram , Jin Aizhen , Wang Renwei , Schoen Robert E. , Koh Woon-Puay , Yuan Jian-Min , Luu Hung N.
Published: April 2023

Supplementary Table S2 is for sensitivity analysis, excluding cases and person-years within the first 2 years of observation
Supplementary Table 9 from Associations between MICA and MICB Genetic Variants, Protein Levels, and Colorectal Cancer: Atherosclerosis Risk in Communities (ARIC)
Authors: Wang Shuo , Onyeaghala Guillaume C. , Pankratz Nathan , Nelson Heather H. , Thyagarajan Bharat , Tang Weihong , Norby Faye L. , Ugoji Chinenye , Joshu Corinne E. , Gomez Christian R. , Couper David J. , Coresh Josef , Platz Elizabeth A. , Prizment Anna E.
Published: April 2023

Supplemental Table 9 shows the associations between pre-selected SNPs and mean of Visit 2 and Visit 3 sMICA and sMICB levels (continuous variables).
Supplementary Table 8 from Associations between MICA and MICB Genetic Variants, Protein Levels, and Colorectal Cancer: Atherosclerosis Risk in Communities (ARIC)
Authors: Wang Shuo , Onyeaghala Guillaume C. , Pankratz Nathan , Nelson Heather H. , Thyagarajan Bharat , Tang Weihong , Norby Faye L. , Ugoji Chinenye , Joshu Corinne E. , Gomez Christian R. , Couper David J. , Coresh Josef , Platz Elizabeth A. , Prizment Anna E.
Published: April 2023

Supplemental Table 8 shows the associations of pre-selected SNPs with Visit 2 sMICA and sMICB levels and CRC risk without adjustment for ancestry markers.
Table S6 from Trend in Cervical Cancer Incidence and Mortality Rates in China, 2006–2030: A Bayesian Age-Period-Cohort Modeling Study
Authors: Yuan Meiwen , Zhao Xuelian , Wang Honghao , Hu Shangying , Zhao Fanghui
Published: April 2023

Table S6 shows trends for age-specific cervical cancer incidence and mortality rates by region in China between 2017 to 2030.
Table S3 from Trend in Cervical Cancer Incidence and Mortality Rates in China, 2006–2030: A Bayesian Age-Period-Cohort Modeling Study
Authors: Yuan Meiwen , Zhao Xuelian , Wang Honghao , Hu Shangying , Zhao Fanghui
Published: April 2023

Table S3 shows proportion of incidence cases by age group between 2006 to 2016.
Supplementary Table 2 from Associations between MICA and MICB Genetic Variants, Protein Levels, and Colorectal Cancer: Atherosclerosis Risk in Communities (ARIC)
Authors: Wang Shuo , Onyeaghala Guillaume C. , Pankratz Nathan , Nelson Heather H. , Thyagarajan Bharat , Tang Weihong , Norby Faye L. , Ugoji Chinenye , Joshu Corinne E. , Gomez Christian R. , Couper David J. , Coresh Josef , Platz Elizabeth A. , Prizment Anna E.
Published: April 2023

Supplemental Table 2 shows the associations between pre-selected SNPs and Visit 2 sMICA and sMICB levels (continuous variables) stratified by sex, race, or diabetes status.
Figure S2 from Trend in Cervical Cancer Incidence and Mortality Rates in China, 2006–2030: A Bayesian Age-Period-Cohort Modeling Study
Authors: Yuan Meiwen , Zhao Xuelian , Wang Honghao , Hu Shangying , Zhao Fanghui
Published: April 2023

Figure S2 shows trends for deaths during 2006−2016 and predicted from 2017 to 2030 in China.
Supplemental Figure 2 from Measurement of Ovarian Tumor Immune Profiles by Multiplex Immunohistochemistry: Implications for Epidemiologic Studies
Authors: Hathaway Cassandra A. , Conejo-Garcia Jose R. , Fridley Brooke L. , Rosner Bernard , Saeed-Vafa Daryoush , Moran Segura Carlos , Nguyen Jonathan V. , Hecht Jonathan L. , Sasamoto Naoko , Terry Kathryn L. , Tworoger Shelley S. , Townsend Mary K.
Published: April 2023

Supplemental Figure 2 provides representative images from the immune checkpoint panel for high-grade serous, endometrioid, clear cell, and mucinous tumors.
Data from Associations between MICA and MICB genetic variants, protein levels, and colorectal cancer: Atherosclerosis Risk in Communities (ARIC)
Authors: Wang Shuo , Onyeaghala Guillaume C. , Pankratz Nathan , Nelson Heather H. , Thyagarajan Bharat , Tang Weihong , Norby Faye L. , Ugoji Chinenye , Joshu Corinne E. , Gomez Christian R. , Couper David J. , Coresh Josef , Platz Elizabeth A. , Prizment Anna E.
Published: April 2023

Abstract
Background: The major histocompatibility complex class I chain-related protein A (MICA) and protein B (MICB) participate in tumor immunosurveillance and may be important in colorectal cancer (CRC), but have not been examined in CRC development.

Methods: sMICA and sMICB blood levels were measured by SomaScan in Visit 2 (1990-92, baseline) and Visit 3 (1993-95) samples in cancer-free participants in the Atherosclerosis Risk in Communities (ARIC) study. We selected rs1051792, rs1063635, rs2516448, rs3763288, rs1131896, rs2596542, and rs2395029 that were located in or in the vicinity of MICA or MICB and were associated with cancer or autoimmune diseases in published studies. SNPs were genotyped by the Affymetrix Genome-Wide Human SNP Array. We applied linear and Cox proportional hazards regressions to examine the associations of pre-selected SNPs with sMICA and sMICB levels and CRC risk (236 CRCs, 8,609 participants) and of sMICA and sMICB levels with CRC risk (312 CRCs, 10,834 participants). In genetic analyses, estimates adjusted for ancestry markers were meta-analyzed.

Results: Rs1051792-A, rs1063635-A, rs2516448-C, rs3763288-A, rs2596542-T, and rs2395029-G were significantly associated with decreased sMICA levels. Rs2395029-G, in the vicinity of MICA and MICB, was also associated with increased sMICB levels. Rs2596542-T was significantly associated with decreased CRC risk. Lower sMICA levels were associated with lower CRC risk in males (HR=0.68, 95%CI 0.49-0.96) but not in females (p-interaction=0.08).
Conclusions: Rs2596542-T associated with lower sMICA levels was associated with decreased CRC risk. Lower sMICA levels were associated with lower CRC risk in males.

Impact: These findings support an importance of immunosurveillance in CRC.
Data from Five-year Survival Trends for Young Adult Cancers Diagnosed from 2002 to 2014 in Taiwan and the United States
Authors: Tsai Yu-Han , Teng Yu-Tung , Kuan Tai-Chuan , Liu Jason J.
Published: April 2023

AbstractBackground:
Young adult cancer incidence has been increasing in Taiwan, but no studies have examined their survival trends.
Methods:
We analyzed data from the Taiwan National Health Insurance Research Database and the U.S. Surveillance, Epidemiology, and End Results Program. We obtained the five-year survival estimates and trends for primary invasive cancers diagnosed at 20–39 years of age from 2002 to 2014. When analyzing specific cancers, we focused on the common young adult cancers in Taiwan. For the trend analysis, the average annual percent change (AAPC) was calculated using joinpoint Regression Program. We also obtained estimates stratified by sex or age at cancer diagnosis.
Results:
The five-year age-standardized relative survival for all young adult cancers combined significantly increased in Taiwan [AAPC = 1.4%; 95% confidence interval (CI), 1.3%–1.5%] and the United States (AAPC = 0.4%; 95% CI, 0.3%–0.6%). Cancers occurring in both sexes had similar trend directions for both sexes. Lung and bronchus cancer, liver cancer, and leukemia had the most survival improvement in both regions. However, the five-year relative survival for cervical cancer declined in Taiwan (AAPC = −0.6%; 95% CI, -1.0% to −0.1%) and did not improve in the United States (AAPC = −0.1%; 95% CI, −0.4%–0.2%).
Conclusions:
Survival has improved for most but not all of the common young adult cancer types in Taiwan. Additional studies can understand why survival has not improved for certain cancer types, and examine subtype-specific survival trends.
Impact:
This is the first study of five-year survival trends for young adult cancers in Taiwan and the United States stratified by sex or age at diagnosis.