bluuebunny/crossref_metadata_2025 huggingface dataset:
Renew
Authors: Doost-Mohammady Rahman , Zhong Lin , Sabharwal Ashutosh
Published: July 2022

Massive multiple-input multiple-output (mMIMO) technology uses a very large number of antennas at base stations to significantly increase efficient use of the wireless spectrum. Thus, mMIMO is considered an essential part of 5G and beyond. However, developing a scalable and reliable mMIMO system is an extremely challenging task, significantly hampering the ability of the research community to research nextgeneration networks. This "research bottleneck" motivated us to develop a deployable experimental mMIMO platform to enable research across many areas. We also envision that this platform could unleash novel collaborations between communications, computing, and machine learning researchers to completely rethink next-generation networks.
Directing Technology Addiction Research in Information Systems
Authors: Serenko Alexander , Turel Ofir
Published: July 2022

In this second part of a series of articles to direct technology addiction research in the information systems discipline, we discuss the history, conceptualization, and measurement of technology addiction. We admit that it is possible to label the phenomenon as overuse or excessive use as long as it is defined and measured by the presence and the magnitude of the six core symptoms of behavioral addictions: salience, mood modification, tolerance, withdrawal, conflict, and relapse. The advantage of this terminology is that it does not attribute one's problems to helplessness and does not pathologize the behavior, implying that it may possibly be corrected. Nevertheless, we posit that the term technology addiction is currently the most reasonable choice that may need to be adjusted as we learn more about this phenomenon and its potential similarities to and differences from established behavioral addictions. Dependence, obsessive/compulsive use, and pathological/problem use terms should not be used as synonyms for technology addiction as a form of mental disorder. Researchers should not include the name of the IT artifact as the subject of addiction (e.g., "Facebook addiction"). Instead, they should focus on the activity that is mediated through the IT artifact (e.g., "addiction to Facebook use").
Benchmarked
Authors: Bosman Annelot , Benjamins Carolin
Published: July 2022

During the 22nd week of this year (30 May - 3 June 2022), we had the honor to be part of the Benchmarked: Optimization Meets Machine Learning workshop held at the Lorentz center in Leiden, the Netherlands. The workshop was organized by some of the most renowned scientists from the field of optimisation and machine learning, Carola Doerr, Mike Preuss, Marc Schoenauer, Thomas Stützle, and Joaquin Vanschoren. The theme of the workshop was benchmarking at the intersection of machine learning and optimization, as this is a very important yet generally overlooked subject. It was also a perfect occasion for bringing together the brightest minds in the field to discuss the topic. We, as beginning PhD students, were very lucky to participate in this prestigious workshop and it gave us the opportunity to meet many colleagues in real life for the first time. In this post we'd like to take you along through an educational and very fun week.
Retranslating Resilience Theory in Archaeology
Authors: Løvschal Mette
Published: July 2022

The environmental crisis is rendering increasingly large areas of the planet inhospitable. As it reaches a tipping point, global warming is initiating cascades of ecological transformation, mass extinction, and irreversible damage—all of them increasingly beyond human control. To mitigate this situation, we need intellectual tools that can call on both the sciences and the humanities and spark integrated approaches that address deep-time scales. Archaeology can make a substantial contribution here. This article reviews the merits and limitations of the resilience concept in archaeology. Despite its ever-increasing relevance, resilience is still frequently understood within the framework of positivist approaches and branches of systems thinking that cannot capture our unfolding predicament and pay too little attention to the embodied historical asymmetries between more-than-human social worlds. This review identifies the potential for reformulations of resilience theory and its attendant concepts within a less positivistic and human-centered conceptual register. New translations of resilience in archaeology pave the way for more nuanced approaches to concepts of history and their sociopolitical use, as well as alternative time dynamics of historical change.
Race and Racism in Archaeologies of Chinese American Communities
Authors: Fong Kelly N. , Ng Laura W. , Lee Jocelyn , Peterson Veronica L. , Voss Barbara L.
Published: July 2022

This article provides a critical review of archaeological research that addresses race and racism in Chinese American communities. Future directions for Chinese diaspora archaeologies include employing an Asian American studies praxis that centers community-engaged research, using diasporic frameworks, and applying emic language to naming material culture and identities. Other innovative archaeological scholarship on the racialization of Chinese Americans reframes Chinese American communities as part of larger multiethnic neighborhoods, highlights gender and sexuality, and traces the transpacific connections of Chinese transmigrants. The interventions outlined provide archaeologists who are engaged in the study of the Chinese American past with the pathways needed to begin practicing antiracist Chinese diaspora archaeologies.
Current Digital Archaeology
Authors: Morgan Colleen
Published: July 2022

Digital archaeology is both a pervasive practice and a unique subdiscipline within archaeology. The diverse digital methods and tools employed by archaeologists have led to a proliferation of innovative practice that has fundamentally reconfigured the discipline. Rather than reviewing specific technologies, this review situates digital archaeology within broader theoretical debates regarding craft and embodiment; materiality; the uncanny; and ethics, politics, and accessibility. A future digital archaeology must move beyond skeuomorphic submission and replication of previous structural inequalities to foment new archaeological imaginaries.
Muc5b plays a role in the development of inflammation and fibrosis in hypersensitivity pneumonitis induced bySaccharopolyspora rectivirgula
Authors: Okamoto Tsukasa , Dobrinskikh Evgenia , Hennessy Corinne E. , Liu Naoko , Schwarz Marvin I. , Evans Christopher M. , Fontenot Andrew P. , Yang Ivana V. , Schwartz David A.
Published: July 2022

Previously we have shown that a gain-of-function MUC5B promoter variant (rs35705950) is the strongest risk factor for the development of idiopathic pulmonary fibrosis. We have also found that Muc5b overexpression reduces mucociliary clearance in mice, potentially leading to recurrent injury to the bronchoalveolar epithelia. Hypersensitivity pneumonitis (HP) is induced by inhalation of numerous causative antigens that may be affected by mucociliary clearance. We conducted this study to determine the role of Muc5b in a mouse model of HP induced by Saccharopolyspora rectivirgula (SR) antigen. We used Muc5b-deficient and wild-type (WT) mice to determine whether Muc5b plays a role in inflammation and fibrosis at 3 and 6 wk in an SR model of HP. We measured cell concentrations and MUC5B expression in whole lung lavage (WLL) and quantified fibrosis using hydroxyproline assay and second harmonic generation. Muc5b expression in WLL fluid was significantly increased in SR-exposed WT mice compared with saline controls. WT mice challenged with SR developed more inflammation and lung fibrosis at 6 wk compared with 3 wk postexposure. Moreover, we found that 6 wk following challenge with SR, Muc5b-deficient mice had less lung inflammation and less lung fibrosis than Muc5b WT mice. Furthermore, Muc5b-deficient mice had significantly lower concentrations of TGF-β1 in the WLL compared with Muc5b WT mice at 6 wk of exposure. Muc5b appears to play a role in fibrosis in the animal model of HP and this may have implications for HP in humans.
COVID-19 Infection Structure Analysis Based on Minimum Spanning Tree Visualization in the Kingdom of Saudi Arabia Regions
Authors: Alsulami Samirah H. , Bayati Jalal H.
Published: July 2022

This work aims to study the extent of the association between the numbers of COVID-19 infections among the regions of Saudi Arabia using a graph theory, especially the calculation of the minimum spanning tree. The research also aims mainly to classify the central regions of Saudi Arabia, whose number of COVID-19 virus infections is centrally linked to other provinces, i.e., when the number of infections in these central regions increases, the number of infections in the associated regions increases and when infections decrease in these central regions, infections decrease in the associated regions.
Development and Utilization of English Online Course Resources Based on Fuzzy Neural Network
Authors: Liao Danlu
Published: July 2022

Since the reform and development, after decades of changes in the times, China’s basic education reform has been promoted several times, and the degree of information technology in the campus will become one of the important factors for parents to choose this school or not. From digital projectors since 2003 to multimedia-assisted English teaching nowadays, it is evident that online English teaching has become an important part of today’s English online resources, but most of the English online resources nowadays are developed by professional research institutions, which leads to a situation where online English curriculum resources are not closely connected to the actual English teaching mode, and more importantly, there is a lack of online English course resources and they are outdated. In the new curriculum reform requirements, the development and utilization of English online resources are clearly pointed out, which shows the importance of developing and utilizing English online course resources and the need to develop in the direction of innovation and modernity, and the need to consider combining the development and utilization of English online course resources with modern technological progress, not only at the theoretical level but also at the practical level. English is a comprehensive and practical language that needs to be used and reinforced by users in order for them to be able to communicate and express their thoughts in English. In this paper, we adopt a fuzzy neural network approach and a gradient descent algorithm to address the shortcomings of current English online course resource development and utilization, and adopt an averaging process for weight updates, and then realize the control of the number of fuzzy rules by adding pooling operations. The experimental results show that this paper can effectively develop English online resources.
[Retracted] Prognostic Diagnosis for Breast Cancer Patients Using Probabilistic Bayesian Classification
Authors: Junath N. , Bharadwaj Alok , Tyagi Sachin , Sengar Kalpana , Hasan Mohammad Najmus Saquib , Jayasudha M.
Published: July 2022

The diagnosis and treatment of patients in the healthcare industry are greatly aided by data analytics. Massive amounts of data should be handled using machine learning approaches to provide tools for prediction and categorization to support practitioner decision‐making. Based on the kind of tumor, disorders like breast cancer can be categorized. The difficulties associated with evaluating vast amounts of data should be overcome by discovering an efficient method for categorization. Based on the Bayesian method, we analyzed the influence of clinic pathological indicators on the prognosis and survival rate of breast cancer patients and compared the local resection value directly using the lymph node ratio (LNR) and the overall value using the LNR differences in effect between estimates. Logistic regression was used to estimate the overall LNR of patients. After that, a probabilistic Bayesian classifier‐based dynamic regression model for prognosis analysis is built to capture the dynamic effect of multiple clinic pathological markers on patient prognosis. The dynamic regression model employing the total estimated value of LNR had the best fitting impact on the data, according to the simulation findings. In comparison to other models, this model has the greatest overall survival forecast accuracy. These prognostic techniques shed light on the nodal survival and status particular to the patient. Additionally, the framework is flexible and may be used with various cancer types and datasets.
Efficacy Analysis of Endovascular Therapy for Nonthrombotic Iliac Vein Compression Syndrome Combined with Chronic Venous Insufficiency
Authors: Zhu Renda , Jin Xiaodong , Shen Jiayi
Published: July 2022

Purpose. This research is aimed at elucidating the clinical efficacy of balloon dilatation (BD) plus stent implantation for nonthrombotic iliac vein compression syndrome (NIVCS) combined with chronic venous insufficiency (CVI) in different compression positions. Methods. Sixty-five NIVCS patients comorbid with CVI admitted between December 2015 and April 2020 were selected and assigned to two groups according to different iliac vein compression positions. Both groups of patients received iliac vein BD + stent implantation, with the difference lying in that the tip of the stent was inserted 0.5-1 cm into the inferior vena cava (IVC) in the experimental group versus 2-3 cm in the control group. The technical success rate, the postoperative venous clinical severity score (VCSS), and the incidence of complications were compared. Results. The technical success rate of both groups was 100%. Patients were followed up for 12-36 months (average:

25.5
±
6.2

). Decreases in VCSS were observed in both cohorts at 3, 6, 12, 24, and 36 months postoperatively compared with the preoperative scores, but with no statistical difference. There was no death, nor related complications such as restenosis and lower limb deep vein thrombosis during the follow-up period, with no statistical difference in the incidence of complications between groups. Conclusions. BD + stent implantation is a safe and effective treatment for NIVCS with few complications and remarkable short-term and medium-term effects.
BNP on Admission Combined with Imaging Markers of Multimodal CT to Predict the Risk of Cardioembolic Stroke
Authors: Cao Ruoyao , Jiang Yun , Li Ling , Lu Yao , Wang Junjie , Yu Kezhen , Chen Min , Chen Juan
Published: July 2022

Background. The aim of the study was to find the potential roles of B-type natriuretic peptide (BNP) and imaging markers on distinguishing cardioembolic (CE) stroke from non-CE stroke, so as to provide useful information for making individualized endovascular treatment (EVT) plan for the patients with acute ischemic stroke (AIS). Methods. The patients with unilateral anterior circulation large vessel occlusion who underwent EVT between March 2016 and December 2021 were analyzed in this study, retrospectively. The risk factors, laboratory test indicators, imaging parameters, and other factors were compared between the CE group and non-CE group. Logistic regression was used to analyze the risk factors of CE stroke. ROC curves were used to assess the values of different parameters on distinguishing CE stroke from non-CE stroke. The relationships between BNP and imaging parameters were assessed using the Spearman correlation analysis. Results. 160 patients were enrolled in the study and divided into the CE group (

n
=
66

) and non-CE group (

n
=
94

). BNP (odds ratio

OR

=
1.004

; 95% CI, 1.001-1.009;

p
=
0.038

), MMR (

OR
=
0.736

; 95% CI, 0.573-0.945;

p
=
0.016

), NIHSS (

OR
=
1.150

; 95% CI, 1.022-1.294;

p
=
0.020

), and AF (

OR
=
556.968

; 95% CI, 51.739-5995.765;

p
<
0.001

) were the independent predictive factors of CE stroke. The area under the curve (AUC) of BNP and mismatch ratio (MMR) were 0.846 (95% CI (0.780-0.898),

p
<
0.001

) and 0.636 (95% CI (0.633-0.779),

p
<
0.001

), respectively. The cut-off value of BNP was 249.23 pg/mL with the sensitivity of 74.24% and the specificity of 82.98%. BNP combined with MMR improved the predictive value for CE stroke. The AUC of the combination was 0.858 with the sensitivity of 84.85% and the specificity of 73.40%. BNP was correlated with 4D CTA collateral score, MMR, clot burden score, final infarct volume, infarct core volume, and ischemic penumbra volume (all,

p
<
0.05

). Conclusion. BNP on admission combined with MMR is valuable for the risk prediction of CE stroke, which will promote the further screening of the high-risk patients with CE stroke and provide more diagnostic information for clinicians.
[Retracted] Study on Psychological Stress Response and Intervention Countermeasures of Exposed Population under Sudden Public Health Crisis
Authors: Chen Si , Sun Hongwei , Zhang Min , Wang Jihong , Song Yan , Zhao Chunshan , Zhou Lei , Sun Yali , Lin Qinlan , Song Changping , Gu Yanchun , Wang Shengnan
Published: July 2022

Background. After the occurrence of public health emergencies, people will have a series of physiological reactions, which will develop into psychological stress disorder in serious cases. Based on this, the purpose of this study is to analyze the psychological stress response and intervention countermeasures of exposed people under sudden public health crisis. Objective. To explore the psychological stress response and intervention countermeasures of exposed population under sudden public health crisis. Methods. A total of 400 people under the sudden public health crisis that bring about serious damage to public health, mass diseases of unknown causes, major food and occupational poisoning, and other events that seriously affect public health from December 2020 to December 2021 were selected as the subjects of the study. It was randomly and equally divided into two groups to take different intervention measures, the control group was given routine public health crisis intervention measures, and the research group was given comprehensive intervention. The metabolism, social function defects, health symptoms, psychological status, quality of life, sleep quality, and stress reaction were compared between the two groups. Results. The rate of good metabolism in the research group was significantly higher than that in the control group (P < 0.05). After intervention, the scores of Social Disability Screening Schedule (SDSS) and Symptom Checklist 90 (SCL‐90) decreased in both groups, and the scores of SDSS and SCL‐90 in the research group were lower than those in the control group. After intervention, the scores of self‐rating depression scale and self‐rating anxiety scale in the two groups decreased, and the scores of self‐rating depression scale and self‐rating anxiety scale in the research group were lower than those in the control group (P < 0.05). The sleep quality of the research group was better than that of the control group (P < 0.05). The stress response indexes such as cortisol, blood glucose, and C‐reactive protein in the two groups were decreased after intervention. The stress response indexes such as cortisol, blood glucose, and C‐reactive protein in the research group were lower than those in the control group (P < 0.05). Conclusion. Giving that comprehensive intervention measures to people exposed to sudden public health crisis can effectively relax their stress response, reinvigorate their quality of life and sleep, reduce depression and anxiety, and improve their metabolism, therefore, in the case of the outbreak of public health crisis in the future, it is worth applying for reference and popularizing.
Dopamine D2 Receptor Signaling Attenuates Acinar Cell Necroptosis in Acute Pancreatitis through the Cathepsin B/TFAM/ROS Pathway
Authors: Wu Zengkai , Han Xiao , Bao Jingpiao , Li Bin , Shen Jie , Song Pengli , Peng Qi , Wang Xingpeng , Hu Guoyong
Published: July 2022

Acute pancreatitis (AP) is an inflammatory disease that is associated with trypsinogen activation, mitochondrial dysfunction, cell death, and inflammation. Dopamine D2 receptor (DRD2) plays an essential role in alleviating AP, while it is unclear whether it is involved in regulating acinar cell necroptosis. Here, we found that DRD2 agonist quinpirole alleviated acinar cell necroptosis via inhibiting cathepsin B (CTSB). Moreover, CTSB inhibition by CA-074Me ameliorated AP severity by reducing necroptosis. Notably, knockdown of TFAM reversed the therapeutic effect of either quinpirole or CA-074Me. We identified a new mechanism that DRD2 signaling inhibited CTSB and promoted the expression of mitochondrial transcription factor A(TFAM), leading to reduction of ROS production in AP, which attenuated acinar cell necroptosis ultimately. Collectively, our findings provide new evidence that DRD2 agonist could be a new potential therapeutic strategy for AP treatment.
Performance Evaluation of Precision Poverty Alleviation with the Assistance of Wireless Communication Technology for Rural Revitalization
Authors: Li Yan , Liu Zhiyuan
Published: July 2022

In the context of rural revitalization, it is imperative to evaluate the performance of poverty alleviation scientifically, which can not only promote the removal of poverty areas and their sustainable development but also comprehensively evaluate the achievements of targeted poverty alleviation work. In this work, the rough set and Support Vector Machine- (SVM-) related concepts are first introduced to establish the required index system. Long-Range Radio (LoRa) wireless communication technology is adopted to collect relevant data, rough set is utilized to preprocess the data, and the importance and relative weight of each indicator are calculated. After elimination of redundant indexes, a new decision table is established, and a prediction model of SVM is established. In parameter optimization, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and grid search are employed. Experimental data show that the minimum error of GA is 1.82%, the test error is 5.11%, and the training error is 3.18%. The minimum error of PSO is 1.86%, the test error is 5.62%, and the training error is 3.15%. The minimum error of grid search method is 2.11%, the test error is 10.73%, and the training error is 2.34%. These three algorithms can optimize SVM parameters and effectively improve the performance evaluation results of targeted poverty alleviation by the model. By comparing the effect of the SVM model without rough set, it is found that the prediction accuracy of model can be improved by using rough set. Given the cross-validation error rate of the model and the predicted mean square error, GA is better than others. The established model makes up for the situation of strong subjectivity and low universal applicability in typical performance evaluation, enriches performance evaluation methods of targeted poverty alleviation, and is of certain practical reference value in performance evaluation of targeted poverty alleviation.
circRPPH1_025 Overexpression Promotes Migration and Invasion of Glioblastoma Multiforme
Authors: Xue Lixiong , Chen Huahui , Wang Xiaolong , Han Li , Liu Yifan , Ding Xinmin
Published: July 2022

Objective. To study the effect of circ_0000512 (circRPPH1_025) on the tumorigensis and development of glioblastoma and its molecular mechanism. Methods. The expression levels of circ_0000512 in normal astrocytes (NHA) and human glioblastoma cell lines (U87, U251, and A172) and the expression levels of circ_0000512 and linear RNA RPPH1 in U87 cells after RNase R treatment were detected by qRT-PCR. The effects of circ_0000512 knockdown or overexpression on the proliferation, migration, invasion, and epithelial-mesenchymal transition of U87 cells were detected by CCK-8 assay, cell colony formation assay, transwell invasion assay, wound healing assay, and western blot. Results. The expression of circ_0000512 was upregulated in glioblastoma cells, and the overexpression of circ_0000512 was beneficial to the proliferation, migration, invasion, and epithelial-mesenchymal transition of U87 cells, while knockdown of circ_0000512 showed the opposite results. Conclusion. circ_0000512 can be used as a potential target for early diagnosis and targeted therapy of glioblastoma multiforme.
Neurological Disease-Affected Patients, including Multiple Sclerosis, Are Poor Responders to BKPyV, a Human Polyomavirus
Authors: Bononi Ilaria , Mazzoni Elisa , Pietrobon Silvia , Iaquinta Maria Rosa , Caselli Andrea , Torreggiani Elena , Pugliatti Maura , Casetta Ilaria , Castellazzi Massimiliano , Granieri Enrico , Martini Fernanda , Tognon Mauro
Published: July 2022

Multiple sclerosis (MS) is a neurological disease characterized by immune dysregulations. Different viruses may act as MS triggering agents. MS patients respond differently to distinct viruses. The aim of our study is to verify the association between the polyomavirus BKPyV and MS, together with other neurological diseases, through the investigation of serum IgG antibodies against the virus. Sera were from patients affected by MS and other neurologic diseases, both inflammatory (OIND) and noninflammatory (NIND). Control sera were from healthy subjects (HS). Samples were analyzed for IgG antibodies against BKPyV with an indirect ELISA with synthetic peptides mimicking the viral capsid protein 1 (VP1) antigens. As control, ELISAs were carried out to verify the immune response against the Epstein-Barr virus (EBV) of patients and controls. In addition, we assessed values for total IgG in each experimental groups. A significant lower prevalence of IgG antibodies against BKPyV VP 1 epitopes, together with a low titer, was detected in sera from MS patients and other inflammatory neurologic diseases than HS. In MS patients and OIND and NIND groups, the EBV-antibody values and total IgG did not differ from HS. Experimental data indicate that patients affected by neurological diseases, including MS, are poor responders to BKPyV VP 1 antigens, thus suggesting specific immunologic dysfunctions for this polyomavirus. Our findings are relevant in understanding the immune reactions implicated in neurological disorders.
Effect of Optimized Emergency Care on Treatment Rate and Prognosis of Elderly Patients with Acute Stroke in Emergency Department: A Systematic Review and Meta-Analysis
Authors: Liang Xia , Yu Yanhong
Published: July 2022

Objective. This research was to detect the treatment rate and prognosis of elderly patients with acute stroke in emergency department by the optimization of emergency care applying meta-analysis. Methods. The online databases including PubMed, EMBASE, ScienceDirect, Cochrane Library, China knowledge Network Database (CNKI), China VIP Database, Wanfang Database, and China Biomedical Literature Database (CBM) were searched. The retrieval time limit was set from the establishment of the database to the present. The data were extracted independently by two investigators. The bias of per publication was assessed following Cochrane manual 5.1.0 standard. RevMan5.4 statistical software was used to analyze the collected data by meta. Results. The 8 randomized controlled trials included in this meta-analysis all reported patients’ baseline status. The meta-analysis of the rescue time of the study group and the control group (

CH
2
=
1507.80

,

df
=
4

,

P
≤
0.001

, and

I
2
=
100
%

) showed that the emergency nursing with optimized emergency procedures can shorten the rescue of elderly acute stroke patients in the emergency department time. There are 6 literatures reporting the case fatality rate (

Ch

i

2

=
1.12

,

df
=
5

,

P
=
0.95
>
0.05

, and

I
2
=
0
%

), and the death rate of the study group was not higher than that of the control group (

Z
=
4.4

and

P
<
0.0001

). The use of optimized first aid can reduce mortality in elderly patients with acute stroke. Six articles on disability rate reported the heterogeneity of disability rate (

CH
2
=
2.88

,

df
=
5

,

P
=
0.72
>
0.05

, and

 
I
2
=
0
%

), indicating that the disability rate in the study group was lower than that in the control group (

Z
=
3.91
 

and

P
<
0.0001

), indicating that emergency nursing by optimizing emergency procedures can reduce the disability rate of elderly stroke patients in emergency department. Conclusion. Optimizing the emergency care process can effectively improve the emergency rate and prognosis of elderly patients with acute stroke in emergency department; however, further research with higher methodological quality and longer intervention time are needed to verify later.
On the Influence of Kawakami’s Marxist Historical Materialism under the Background of Intelligent Network Technology
Authors: Han Wenli , Xu Sun , Xiong Ma , De Li , Neely Leo
Published: July 2022

In order to study the influence of the dissemination of Kawakami’s Marxist historical materialism under the background of intelligent network technology, the research on the influence of the dissemination of Kawakami’s Marxist historical materialism under the background of integrated media technology is discussed, through the overall effect and comprehensive performance of the influence of integrated media technology under the background of ordinary network technology and intelligent network technology on the dissemination of Kawakami’s Marxist historical materialism, compared with the coupling degree, and has statistical significance. It is obvious that the analysis and research using intelligent network technology are better than the previous ordinary network technology. At the same time, the propagation speed of intelligent network technology is faster, more convenient, more comprehensive, and more secure, achieving the real era of Internet big data information intelligence. Through the integration of media technology under the background of intelligent network technology, the spread influence of Kawakami’s Marxist historical materialism has increased rapidly. It has broadened the path of the spread of Marxist theory, accelerated the spread of Marxism, and had a certain impact on the spread of Marxist theory, becoming more popular and convenient, so that people all over the world can have a deeper understanding of their ideological theory, thus changing people’s world outlook and values and driving the development of national economy, culture, and humanistic thought.
Construction of Interactive Higher Education Model Based on “VR + Internet”
Authors: Ding Liangxi , Chau Vinh
Published: July 2022

With the popularization of Internet and VR technology in various fields, people’s lifestyle has gradually changed, and the field of educational engineering is constantly innovating and developing. Among many educational technologies, VR virtual reality technology is particularly eye-catching. The rapid development of VR technology has created new opportunities for all fields. Realizing VR in the industry can promote the development and progress of the industry itself. Network education is the product of the combination of information technology and computer technology. The combination of VR technology and Internet will inevitably promote the further development of interactive college education mode. China is facing the crisis of network education reform and development, but the combination of internet and education is the objective need of internet development and education development. The interactive mode of higher education not only promotes the innovation of higher education mode but also optimizes and innovates the structure of interactive education field. The combination of VR technology and Internet can make students better integrate into the teaching situation, improve learning efficiency, and effectively achieve the educational purpose. Therefore, it can be predicted that the interactive college education mode is an inevitable trend in the development of interactive education. Based on this, this paper first makes a brief analysis of VR technology and the Internet, then examines the significance of realizing the combination of the two, and finally puts forward the strategies and methods to realize the combination of interactive education and VR technology.
Mathematical Modeling Investigation of Violence and Racism Coexistence as a Contagious Disease Dynamics in a Community
Authors: Teklu Shewafera Wondimagegnhu , Terefe Birhanu Baye
Published: July 2022

Recently, violence, racism, and their coexistence have been very common issues in most nations in the world. In this newly social science discipline mathematical modelling approach study, we developed and examined a new violence and racism coexistence mathematical model with eight distinct classes of human population (susceptible, violence infected, negotiated, racist, violence-racism coinfected, recuperated against violence, recuperated against racism, and recuperated against the coinfection). The model takes into account the possible controlling strategies of violence-racism coinfection. All the submodels and the violence-racism coexistence model equilibrium points are calculated, and their stabilities are analyzed. The model threshold values are derived. As a result of the model qualitative analysis, the violence-racism coinfection spreads under control if the corresponding basic reproduction number is less than unity, and it propagates through the community if this number exceeds unity. Moreover, the sensitivity analysis of the parameter values of the full model is illustrated. We have applied MATLAB ode45 solver to illustrate the numerical results of the model. Finally, from qualitative analysis and numerical solutions, we obtain relevant and consistent results.
Correlation Analysis of Computed Tomography Features and Pathological Types of Multifocal Ground-Glass Nodular Lung Adenocarcinoma
Authors: Kou Jieli , Gu Xiaofei , Kang Liqing
Published: July 2022

To investigate the correlation between computed tomography (CT) image characteristics of multiple lung ground-glass nodules (GGNs) and pathological classification, the CT image data of multiple lung GGN patients confirmed by pathology (

n
=
132

) in our hospital were collected. The imaging features of GGNs were analyzed by qualified physicians, including lesion size (diameter, volume, and mass), location, CT values (mean and relative CT values), lesion morphology (round and irregular), marginal structure (pagination and burr), internal structure (bronchial inflation sign), and adjacent structure (pleural depression). CT imaging analysis was performed for the subtype of infiltrating adenocarcinoma (IAC). In CT findings, GGNs were greatly different from adenomatous hyperplasia (AAH), pure GGN adenocarcinoma in situ (AIS), and microinvasive adenocarcinoma (MIA) in terms of marginal structure, lesion morphology, internal structure, adjacent structure, and size (

P
<
0.05

). The mean and relative CT values of mural adenocarcinoma, acinar adenocarcinoma, and papillary adenocarcinoma of IAC subtypes were greatly different from those of AAH/AIS/MIA (

P
<
0.05

). In summary, the CT images of GGNs can be used as the basis for the differentiation of AAH, AIS, and MIA early noninvasive types and IAC invasive types, and the CT value of the IAC subtype can be used as the basis for the classification and differentiation of IAC pathological subtypes.
Expression of miR-155 in Serum Exosomes in Children with Epilepsy and Its Diagnostic Value
Authors: Liu Ya , Yu Gang , Ding Yan-Yan , Zhang Yong-Xia
Published: July 2022

Objective. This study was designed to analyze the expression of miR-155 in serum exosomes in children with epilepsy and to explore its diagnostic value. Methods. From March 2020 to March 2021, 43 hospitalized children with epilepsy admitted to the Department of Neurology of the hospital were included, and another 43 gender- and age-matched healthy children were randomly selected as the healthy control group during the same period. Then fasting serum samples of the two groups were collected to extract the exosomes. The morphology of the exosomes was evaluated under a transmission electron microscope, and the expression of specific protein markers on the surface was detected by Western Blot. In addition, the relative expression of miR-155 in serum exosomes in children with epilepsy with different courses of the disease and different degrees of abnormal electroencephalography (EEG) was compared, and the area under the receiver operating characteristic (ROC) curve (ROC-AUC) was used to evaluate the diagnostic value of miR-155. Results. A higher relative expression level of miR-155 in serum exosomes was obtained in the epilepsy group, as compared to the healthy control group (P<0.05), and the relative expression of miR-155 in serum exosomes in children with epilepsy was correlated with the course of the disease and the degree of abnormal EEG (both P<0.05). In addition, the expression of miR-155 in serum exosomes showed high diagnostic efficiency for epilepsy (AUC = 0.813, P<0.05). Conclusion. The expression of miR-155 in serum exosomes in children with epilepsy is up-regulated, and its level is related to the course of the disease and the degree of abnormal EEG, so miR-155 in serum exosomes may be used as a biomarker for the diagnosis and assessment of the severity of epilepsy.
Seed Coat Morphology and Sculpturing of Selected Invasive Alien Plants from Lesser Himalaya Pakistan and Their Systematic Implications
Authors: Anjum Farida , Mir Asif , Shakir Yasmeen , Zafar Muhammad , Sultana Shazia , Ameen Maria , Ahmad Mushtaq
Published: July 2022

Invasive alien species (IAS) are considered as the second major threat to biodiversity after habitat destruction worldwide. They are aggressive competitors and dominate an ecosystem where they introduce and cause reduction in indigenous diversity. Invasive plants alter the evolutionary pathways of native species by competition, niche displacement, hybridization, introgression, predation, and ultimately extinction of native species. Biological invasion also results in economic and environmental damage and harm to human health. Invasive plants have an effective reproductive as well as dispersal mechanisms. Most invasive plants produce abundant fruits and seeds that are widely disseminated and remain viable in the soil for several years. Invasive plants may change their seed character in order to adapt themselves to the new environment and facilitate their performance. A study on seed coat sculpturing in invasive alien plants collected from Lesser Himalaya region, Pakistan, was conducted using scanning electron microscope to determine the importance of seed morphological characters as an additional tool for identification. Quantitative characters such as seed length and width, macromorphological characters including color, hilum position, and seed shape, and micromorphological characters of seed including surface patterns and periclinal and anticlinal wall of seeds were studied. Findings at the present indicate that most of the seeds were found spherical followed by ovate and elliptical in shape with smooth surface and showed terminal hilum. Almost reticulate seed patterns were observed in seeds. Majority of seeds showed raised anticlinal walls with protuberance periclinal walls. The seeds of Xanthium strumarium were observed with maximum length of 13 mm and with width of 8 mm. Length by width ratio of seeds was also calculated; it was found that maximum L/W ratio was observed in Sonchus oleraceus L., i.e., 2.66. Seed characters, both macro‐ and micromorphological, furnish useful data for classification and delimitation of invasive taxa. This study will help to understand the invasion mechanism in plants due to variations in seed surface, shape, and other characters. Adaptive behavior of the seed during the invasion process of the new ecosystem is also elaborated.
Targeting the DNA Damage Response Pathways and Replication Stress in Colorectal Cancer
Authors: Durinikova Erika , Reilly Nicole M. , Buzo Kristi , Mariella Elisa , Chilà Rosaria , Lorenzato Annalisa , Dias João M. L. , Grasso Gaia , Pisati Federica , Lamba Simona , Corti Giorgio , Degasperi Andrea , Cancelliere Carlotta , Mauri Gianluca , Andrei Pietro , Linnebacher Michael , Marsoni Silvia , Siena Salvatore , Sartore-Bianchi Andrea , Nik-Zainal Serena , Di Nicolantonio Federica , Bardelli Alberto , Arena Sabrina
Published: July 2022

Purpose:

Genomic instability is a hallmark of cancer and targeting DNA damage response (DDR) is emerging as a promising therapeutic strategy in different solid tumors. The effectiveness of targeting DDR in colorectal cancer has not been extensively explored.

Experimental Design:

We challenged 112 cell models recapitulating the genomic landscape of metastatic colorectal cancer with ATM, ATR, CHK1, WEE1, and DNA-PK inhibitors, in parallel with chemotherapeutic agents. We focused then on ATR inhibitors (ATRi) and, to identify putative biomarkers of response and resistance, we analyzed at multiple levels colorectal cancer models highly sensitive or resistant to these drugs.

Results:

We found that around 30% of colorectal cancers, including those carrying KRAS and BRAF mutations and unresponsive to targeted agents, are sensitive to at least one DDR inhibitor. By investigating potential biomarkers of response to ATRi, we found that ATRi-sensitive cells displayed reduced phospho-RPA32 foci at basal level, while ATRi-resistant cells showed increased RAD51 foci formation in response to replication stress. Lack of ATM and RAD51C expression was associated with ATRi sensitivity. Analysis of mutational signatures and HRDetect score identified a subgroup of ATRi-sensitive models. Organoids derived from patients with metastatic colorectal cancer recapitulated findings obtained in cell lines.

Conclusions:

In conclusion, a subset of colorectal cancers refractory to current therapies could benefit from inhibitors of DDR pathways and replication stress. A composite biomarker involving phospho-RPA32 and RAD51 foci, lack of ATM and RAD51C expression, as well as analysis of mutational signatures could be used to identify colorectal cancers likely to respond to ATRi.
Breeding phenology and population dynamics of the endangered Forest Spiny Reed Frog Afrixalus sylvaticus Schiøtz, 1974 in Shimba Hills, Kenya
Authors: Alfayo Koskei  , George Eshiamwata  , Bernard Kirui  , Phylus K. Cheruiyot
Published: July 2022

Afrixalus sylvaticus Schiøtz, 1974 is a species of hyperoliid frog inhabiting coastal forest Kenya. It is classified as endangered under IUCN B2ab(iii) ver 3.1 and occurs in the Shimba Hills National Park and hinterlands. Habitat loss and other human activities are threatening the species. Therefore, understanding the breeding ecology and population dynamics is important for its conservation. This study assessed the breeding ecology and population dynamics of the species in the protected and community landscapes in Shimba Hills National Reserve in Kenya. Data was collected through ecological surveys conducted from June 2016 to July 2017 using a visual encounter surveys (VES) method. The results show that the species was more abundant during the wet season than dry (58% and 42%, respectively). The population estimate was 192 individuals and a density of 0.98 individuals/km2. Regarding the morphology, the mean snout-vent length (SVL) for males was 15.12 mm and females 15.96 mm, but there was no significant difference (t-test = 0.87, p = 0.390, df = 39). The mean weight of both gravid and non-gravid females was 6.05 g and males was 4.82 g. The weights were statistically different between both sexes (t-test = 3.50, p-value = 0.001, df = 39). The sex ratio was 1:2 (male: female). There was more activity in the wet season (April and May), and the breeding habitats were reeds and water lilies. The threats identified to their habitat include; human activities such as bush burning, livestock grazing, drainage, and plantation of exotic tree species (Eucalyptus sp.) that have led to habitat loss and degradation. The study recommends that the reforestation processes such as plantation of exotic species such as Eucalyptus sp. and Casuarina sp. and bush burning in the wetlands and species habitats must be discouraged among the stakeholders (community and park management). Moreover, more synchronized studies are necessary to highlight the driver(s) of imbalanced sex ratios and species habitat shifts.
New queen? Evidence of a long-living Jaguar Panthera onca (Mammalia: Carnivora: Felidae) in Tikal National Park, Guatemala
Authors: Carlos A. Gaitán  , Manolo J. García  , M. André Sandoval-Lemus  , Vivian R. González-Castillo  , Gerber D. Guzmán-Flores  , Cristel M. Pineda
Published: July 2022

Despite the abundant literature on the Jaguar Panthera onca, several aspects of its natural history and ecology such as longevity and residency of wild individuals are still little studied and poorly known. We conducted a camera trapping study in Tikal National Park, Guatemala, during the dry season and early rainy season from April to July 2018. We compared our results with results of previous studies and thereby came across a presumably female adult individual that was recorded in 2009 and again during our survey. We therefore assume that this virtual female is a potential long-term resident Jaguar in this core zone of the Selva Maya, one of the largest and well-conserved forests in the Neotropics and a priority area for the conservation of this species. We recommend implementing systematic and long-termed studies in Guatemala as a tool for the evaluation and management of the species, and to monitor the effectiveness of protected and priority areas in order to ensure the conservation of the Jaguar.
Extended distribution of Impatiens scapiflora (Balsaminaceae) to the flora of Eastern Ghats, India
Authors: T.S. Saravanan  , S. Kaliamoorthy  , M.Y. Kamble  , M.U. Sharief
Published: July 2022

Impatiens scapiflora (Balsaminaceae), an endemic to the southern Western Ghats of India, is reported here for the first time for Eastern Ghats from Tamil Nadu. Brief description and photographs are provided to facilitate easy identification of the species.
Salvia misella Kunth (Lamiaceae) - a new record for Eastern Ghats of India
Authors: Das Prabhat Kumar , Kamila Pradeep Kumar , Panda Pratap Chandra
Published: July 2022

Salvia misella Kunth (Lamiaceae) is reported here as an addition to the flora of Eastern Ghats of India from the Koraput district of Odisha. The nomenclature, botanical description, phenology, ecology and distribution of the species have been provided in this paper along with colour photographs of the plant and plant parts for easy identification of the species.
A case study on utilization and conservation of threatened plants in Sechu Tuan Nalla Wildlife Sanctuary, western Himalaya, India
Authors: Kumar Puneet , Singh Harminder , Sushil Kumar Singh
Published: July 2022

During the course of surveys between 2016 and 2019 in the Sechu Tuan Nalla Wildlife Sanctuary, 37 species were reported of which, two critically endangered, 18 endangered, 13 vulnerable, four data deficient and one endemic to western Himalayas were recorded. All the species  recorded are highly priced medicinal herbs.  It also discussed the sustainable use and conservational approach adopted by the local people dwelling in the vicinity of the protected area for an endangered medicinal plant, Fritillaria cirrhosa D.Don.