bluuebunny/crossref_metadata_2025 huggingface dataset:
Grief and bereavement of family and friends around medical assistance in dying: scoping review
Authors: Yan Han , Bytautas Jessica , Isenberg Sarina Roslyn , Kaplan Ari , Hashemi Narges , Kornberg Mona , Hendrickson Tekla
Published: September 2022

Objectives

The increase in the number of jurisdictions legalising medical assistance in dying (MAiD) has contributed to a growth in the number of family and friends who may face unique elements of grief and bereavement. The aim of this study was to review the literature of grief and bereavement of family and friends following MAiD, and to summarise findings for the development of community resources and programming.

Methods

We performed a scoping review with workshop consultation of stakeholders. Six electronic databases and the grey literature were searched for qualitative, quantitative and review articles. Content-analytical techniques and multidisciplinary discussions led to the development of concepts and a conceptual framework.

Results

Twenty-eight articles met the inclusion criteria. We identified five concepts that impact the grief and bereavement of family/friends: relationships between family/friends and the patient as well as healthcare providers; aspects of MAiD grief which can include secrecy and/or anticipatory grief; preparations which may include family/friends and should be centralised and harmonised; end of life as an opportunity for ceremony; and the aftereffects during which mental health outcomes are studied.

Conclusion

This multidisciplinary scoping review incorporates stakeholder consultation to find that support is needed to address the complicated and changing emotions of family/friends before, during and after a MAiD death. Furthermore, additional societal normalisation of MAiD is necessary to reduce secrecy and stigma and improve the accessibility of resources for family/friends.
Uncertainty and hope in relation to anxiety and depression in advanced lung cancer
Authors: Cruz-Castellanos Patricia , Gil-Raga Mireia , Jiménez-Fonseca Paula , Ghanem Ismael , Hernández Raquel , Piera-Molons Nuria , Cano Juana M , Gallego-Martinez Alejandro , Garcia-Torralba Esmeralda , Calderon Caterina
Published: September 2022

Objectives

Intolerance of uncertainty (IU) has been linked to greater psychological distress, whereas hope appears to act as a protective factor against in patients with cancer. The aim of this study is to analyse the modifying effect of uncertainty in the presence of anxiety and depression in patients with advanced lung cancer.

Methods

Multicentre, prospective, observational, cross-sectional study of 145 individuals with advanced lung cancer. Participants completed the following questionnaires: IU Scale, Hert Hope Index, Brief Symptom Inventory.

Results

Among patients with advanced lung cancer, anxiety and depression were prevalent, 30% and 35%, respectively. Uncertainty and hope with respect to their illness negatively affected their psychological distress. Hope and uncertainty accounted for 22% of the variance in anxiety and 34% of depressive symptoms. The hypothesised modifying effects (uncertainty×hope) was not supported in the depressive and anxious symptom models.

Conclusions

Our findings indicate that hope and uncertainty are important considerations in understanding mental health in people diagnosed with advanced lung cancer. Identifying patients who lack the resources needed to manage uncertainty and hope in relation to their disease could inform psychosocial intervention provision to improve quality of life.
Long-term evolution of the neutron rate at the Canfranc Underground Laboratory
Authors: Orrigo S. E. A. , Tain J. L. , Mont-Geli N. , Tarifeño-Saldivia A. , Fraile L. M. , Grieger M. , Agramunt J. , Algora A. , Bemmerer D. , Calviño F. , Cortés G. , De Blas A. , Dillmann I. , Domínguez Bugarín A. , García R. , Nacher E. , Tolosa-Delgado A.
Published: September 2022

We report results on the long-term variation of the neutron counting rate at the Canfranc Underground Laboratory, of importance for several low-background experiments installed there, including rare-event searches. The measurement campaign was performed employing the High Efficiency Neutron Spectrometry Array (HENSA) mounted in Hall A and lasted 412 live days. The present study is the first long-term measurement of the neutron rate with sensitivity over a wide range of neutron energies (from thermal up to 0.1 GeV and beyond) performed in any underground laboratory so far. Data on the environmental variables inside the experimental hall (radon concentration, air temperature, air pressure and humidity) were also acquired during all the measurement campaign. We have investigated for the first time the evolution of the neutron rate for different energies of the neutrons and its correlation with the ambient variables.
On the hydrodynamics of (2 + 1)-dimensional strongly coupled relativistic theories in an external magnetic field
Authors: Amoretti Andrea , Brattan Daniel K.
Published: September 2022

In this paper, we review recent progress on relativistic hydrodynamics in (2 + 1) dimensions with an external magnetic field. We discuss the formalism allowing for momentum loss due to the explicit and spontaneous breaking of translation invariance by scalar operators. We also compare to some results from the gauge/gravity correspondence.
Use Ping Wisely: A Study of Team Communication and Performance under Lean Affordance
Authors: Zheng Keyang , Stein Ben , Farzan Rosta
Published: September 2022

Improving virtual team collaboration has been a centerpiece of many computer mediated communication research efforts. Team collaboration presents unique challenges which are further exacerbated when such collaboration occurs in high-tempo environments that require “lean” communication affordances because they are not suited to traditional methods of rich communication such as text-based chat. Competitive multiplayer games can provide unique insights into how virtual teams communicate with limited communication affordance and under stress. In this work, we employed a mixed-method analysis of specific communication tools in a popular MOBA game
Heroes of the Storm
. Our study focuses on how players of the game use a gesturing communication system, called “Pings”, an example of lean communication affordance, to communicate within a team and its impact on team performance. We found that players appropriate the pings in distinct ways and exhibit different communication styles and these styles have different effects on the overall team performance. Our findings have implications for the design of emerging communication tools for virtual teams and can serve as guidelines to optimize communication in virtual teams.
DNA Computing-Based Multi-Source Data Storage Model in Digital Twins
Authors: Wang Jinxia , Chen Rui , Lv Zhihan
Published: September 2022

The work aims to study the application of
Deoxyribonucleic Acid (DNA)
multi-source data storage in
Digital Twins (DT)
. Through the investigation of the research status of DT and DNA computing, the work puts forward the concept of DNA multi-source data storage for DT. Raptor code is improved from the design direction of degree distribution function, and six degree function distribution schemes are proposed in turn in the process of describing the research method. Additionally, a quaternary dynamic Huffman coding method is applied in DNA data storage, combined with the improved concatenated code as the error correction code. Considering the content of
cytosine deoxynucleotide (C)
and
guanine deoxynucleotide Guanine (G)
and the distribution of homopolymer in DNA storage, the work proposes and verifies an improved concatenated code algorithm
Deoxyribonucleic Acid-Improved Concatenated code (DNA-ICC)
. The results show that while the
Signal-to-Noise Ratio (SNR)
increases, the
Bit Error Rate (BER)
decreases gradually and the trend is similar. But the anti-interference ability of the degree distribution function optimized by the probability transfer method is better. The BER of DNA-ICC scheme decreases with the decrease of error probability, which is stronger than other error correction codes. Compared with the original concatenated code, it saves at least 1.65 s, and has a good control effect on homopolymer. When the size of homopolymer exceeds 4 nt, the probability of homopolymer is only 0.44%. The proposed Quaternary dynamic Huffman code and concatenated error correction code have excellent performance.
Best of Both Worlds? Combining Different Forms of Mixed Reality Deictic Gestures
Authors: Brown Landon , Hamilton Jared , Han Zhao , Phan Albert , Phung Thao , Hansen Eric , Tran Nhan , Williams Tom
Published: September 2022

Mixed Reality provides a powerful medium for transparent and effective human-robot communication, especially for robots with significant physical limitations (e.g., those without arms). To enhance nonverbal capabilities for armless robots, this article presents two studies that explore two different categories of mixed reality deictic gestures for armless robots: a virtual arrow positioned over a target referent (a non-ego-sensitive allocentric gesture) and a virtual arm positioned over the gesturing robot (an ego-sensitive allocentric gesture). In Study 1, we explore the tradeoffs between these two types of gestures with respect to both objective performance and subjective social perceptions. Our results show fundamentally different task-oriented versus social benefits, with non-ego-sensitive allocentric gestures enabling faster reaction time and higher accuracy, but ego-sensitive gestures enabling higher perceived social presence, anthropomorphism, and likability. In Study 2, we refine our design recommendations by showing that in fact these different gestures should not be viewed as mutually exclusive alternatives, and that by using them together, robots can achieve both task-oriented and social benefits.
Microbial Interactions with Dissolved Organic Matter Are Central to Coral Reef Ecosystem Function and Resilience
Authors: Nelson Craig E. , Wegley Kelly Linda , Haas Andreas F.
Published: September 2022

To thrive in nutrient-poor waters, coral reefs must retain and recycle materials efficiently. This review centers microbial processes in facilitating the persistence and stability of coral reefs, specifically the role of these processes in transforming and recycling the dissolved organic matter (DOM) that acts as an invisible currency in reef production, nutrient exchange, and organismal interactions. The defining characteristics of coral reefs, including high productivity, balanced metabolism, high biodiversity, nutrient retention, and structural complexity, are inextricably linked to microbial processing of DOM. The composition of microbes and DOM in reefs is summarized, and the spatial and temporal dynamics of biogeochemical processes carried out by microorganisms in diverse reef habitats are explored in a variety of key reef processes, including decomposition, accretion, trophictransfer, and macronutrient recycling. Finally, we examine how widespread habitat degradation of reefs is altering these important microbe–DOM interactions, creating feedbacks that reduce reef resilience to global change.
Genetics and Pathogenesis of Parkinson's Syndrome
Authors: Ye Hui , Robak Laurie A. , Yu Meigen , Cykowski Matthew , Shulman Joshua M.
Published: September 2022

Parkinson's disease (PD) is clinically, pathologically, and genetically heterogeneous, resisting distillation to a single, cohesive disorder. Instead, each affected individual develops a virtually unique form of Parkinson's syndrome. Clinical manifestations consist of variable motor and nonmotor features, and myriad overlaps are recognized with other neurodegenerative conditions. Although most commonly characterized by alpha-synuclein protein pathology throughout the central and peripheral nervous systems, the distribution varies and other pathologies commonly modify PD or trigger similar manifestations. Nearly all PD is genetically influenced. More than 100 genes or genetic loci have been identified, and most cases likely arise from interactions among many common and rare genetic variants. Despite its complex architecture, insights from experimental genetic dissection coalesce to reveal unifying biological themes, including synaptic, lysosomal, mitochondrial, andimmune-mediated mechanisms of pathogenesis. This emerging understanding of Parkinson's syndrome, coupled with advances in biomarkers and targeted therapies, presages successful precision medicine strategies.
The Poor Academic’s DC-Offset for Reversing Polarity in Electrochemical Cells: Application to Redox Flow Cells
Authors: Amini Kiana , Fell Eric M. , Aziz Michael J.
Published: September 2022

We provide a simple and inexpensive manual DC-offset method for extending the accepted voltage range of a battery cycler to negative voltages, without interfering with the actual operation of the electrochemical cell under the test or exceeding the voltage specs of the battery cycler instrument. We describe the working principles of the method and validate the proposed setup by operating short-term and long-term redox flow battery cycling using compositionally symmetric cell, with open-circuit voltage of zero, and full cell configurations. The method can be used to extend the capability of battery cycler instrumentation to operate any electrochemical cell that requires the polarity to be reversed during operation. Applications include cycling of other symmetric cells (e.g., Li-ion cells), implementation of polarity reversal steps for rejuvenation of electroactive species or rebalancing electrochemical cells, and alternating polarity for electrochemical synthesis.
Severe acute pancreatitis exhibits distinct cytokine signatures and trajectories in humans: a prospective observational study
Authors: Greer Phil J. , Lee Peter J. , Paragomi Pedram , Stello Kim , Phillips Anna , Hart Phil , Speake Cate , Lacy-Hulbert Adam , Whitcomb David C. , Papachristou Georgios I.
Published: September 2022

In this study, we showed that the proinflammatory cytokine response in SAP is an early event, with subsequent downregulation of proinflammatory cytokines beginning at day 1 of symptom onset. Our findings underscore the importance of enrolling subjects very early in the disease course when conducting studies to investigate early immune events of SAP; this current study also serves as an important reference for the design of future biomarker studies and therapeutic trials in SAP.
Preclinical evaluation of the epithelial sodium channel inhibitor AZD5634 and implications on human translation
Authors: Åstrand Annika , Libby Emily Falk , Shei Ren-Jay , Lever Jacelyn E. Peabody , Kaza Niroop , Adewale Adegboyega Timothy , Boitet Evan , Edwards Lloyd , Hemmerling Martin , Root James , Lindberg Botilda , Wingren Cecilia , Malmgren Anna , Sabater Juan , Rowe Steven M.
Published: September 2022

Airway dehydration causes mucus stasis and bacterial overgrowth in cystic fibrosis (CF), resulting in recurrent respiratory infections and exacerbations. Strategies to rehydrate airway mucus including inhibition of the epithelial sodium channel (ENaC) have the potential to improve mucosal defense by enhancing mucociliary clearance (MCC) and reducing the risk of progressive decline in lung function. In the current work, we evaluated the effects of AZD5634, an ENaC inhibitor that shows extended lung retention and safety profile as compared with previously evaluated candidate drugs, in healthy and CF preclinical model systems. We found that AZD5634 elicited a potent inhibition of amiloride-sensitive current in non-CF airway cells and airway cells derived from F508del-homozygous individuals with CF that effectively increased airway surface liquid volume and improved mucociliary transport (MCT) rate. AZD5634 also demonstrated efficacious inhibition of ENaC in sheep bronchial epithelial cells, translating to dose-dependent improvement of mucus clearance in healthy sheep in vivo. Conversely, nebulization of AZD5634 did not notably improve airway hydration or MCT in CF rats that exhibit an MCC defect, consistent with findings from a first single-dose evaluation of AZD5634 on MCC in people with CF. Overall, these findings suggest that CF animal models demonstrating impaired mucus clearance translatable to the human situation may help to successfully predict and promote the successful translation of ENaC-directed therapies to the clinic.
The Clinical Nursing Pathway on Prevention of Catheter Slippage with Intensive Care Unit Patients: A Systematic Review and Meta-Analysis
Authors: Huang Huanhuan , Yu Shanzhao , Zheng Jufang
Published: September 2022

Objective. To evaluate the prevention effect of the clinical nursing pathway (CNP) of catheter slippage with intensive care unit (ICU) patients. Methods. Primary databases were electronically searched from the inception up to June 25, 2021. Randomized clinical trials of CNP versus routine nursing for prevention of catheter slippage with ICU patients were included. The risk of bias was assessed using the Cochrane risk of bias tool and the quality of included studies using the Jadad rating scale. A meta-analysis was conducted using the Cochrane collaboration’s RevMan5.3 software. Results. Eight studies met the inclusion criteria. The findings of the meta-analysis revealed that the comparison of CNP and routine nursing was applied in ICU patients, the catheter slippage incidence rate odds ratio (OR) was 0.11, with 95% confidence interval (CI) (0.05, 0.24), and the difference was statistically significant (

P
<
0.00001

). The catheter infection rate OR was 0.15, with 95% CI (0.06, 0.37), and the difference was statistically significant (

P
<
0.0001

). The nursing satisfaction OR was 14.06, with 95% CI (5.71, 34.63), and the difference was statistically significant (

P
<
0.00001

). Conclusion. Compared with routine nursing, the application of CNP in ICU patients can effectively reduce the incidence of catheter slippage, reduce the infection rate of the catheter, and improve the nursing satisfaction.
Effects of Acupuncture on Breast Cancer Patients Taking Aromatase Inhibitors
Authors: Qi Qing-ling , Han Xue , Tang Cheng
Published: September 2022

Although acupuncture has been used in clinical practice for thousands of years, it remains a controversial treatment option to help alleviate pain in cancer patients. In this study, we analyzed published material on randomized trials of acupuncture from MEDLINE published up until July 31, 2018, to assess its effects on pain experienced by cancer patients. Revman 5.0 software was used to conduct meta‐analysis with pain score as the index. The results of nine randomized controlled trials involving 592 patients were analyzed and showed that acupuncture can relieve the pain caused by aromatase inhibitors. Weighted mean difference of worst pain and pain severity was ‐3.03, 95% CI (‐3.90,‐2.16) and ‐2.69, 95% CI (‐4.08,‐1.30), respectively (P < 0.01). This led us to conclude that acupuncture has pain relieving effects against pain caused by aromatase inhibitors.
Design of the Music Intelligent Management System Based on a Deep CNN
Authors: Shang Jinghan , Shao Fei
Published: September 2022

Music is a common art form in people’s life, and it is closely related to people’s living conditions. Since ancient times, music has been closely related to people’s lives. The music intelligent management system is convenient and user-friendly, and it can meet the demand for music. However, it has major flaws. Collaborative filtering algorithm can achieve the recommendation performance of music intelligent management system, which can recommend the same type of music to users with related preferences. Deep learning technology has developed relatively maturely, and it has been successfully applied in people’s life and production. Deep convolutional neural network (CNN) techniques can extract deeper features than simple CNN techniques. Although there is a weak nonlinear relationship between people’s behavioral characteristics and living habits and the music intelligent management system, the advantage of deep CNN technology is to deal with the nonlinear relationship between large amounts of data. This study uses deep CNN technology to extract the relationship between people’s living habits, living environment, and behavior characteristics and the music intelligent management system. The deep CNN technology helps the music intelligent management system to further realize the active recommendation function of the music intelligent management system. The research results also show that the deep CNN technology has good feasibility and high accuracy in the music intelligent management system. It can well map the relationship between people’s behavioral characteristics and living habits and the music intelligent management system. The deep CNN technology can also realize the active recommendation function of the music intelligent management system. For the prediction of the music intelligent management system, the largest prediction error is only 2.17%. This part of the error is for the prediction of song genres. The prediction errors for the other two features are both within 2%.
[Retracted] False Vision Graphics in Logo Design Based on Artificial Intelligence in the Visual Paradox Environment
Authors: Zheng Hexin
Published: September 2022

There are numerous fresh ways of thinking and creativity as a result of the ongoing development of art design. How do you create a fantastic logo that has extraordinary artistic effects? The incorrect interpretation of artistic graphics can cause a special visual phenomenon known as the contradiction between visual images and objective reality, which causes people’s visual systems to produce points of interest. Wrong vision graphics, or visual paradox, can give people a wonderful experience that transcends time and space and reveals the enigmatic beauty that is concealed in the natural order, which is in line with the design goals of sign art. The integration of design and artificial intelligence has drawn a lot of attention as science and technology have advanced. Designing an intelligent and comfortable user experience is more important than ever, especially given the world’s growing digital demand. The technical limitations of algorithm black boxes exacerbate the power disparity between humans and algorithms, which is inherent in artificial algorithms. According to its research, artificial intelligence’s algorithm is responsible for roughly 60% of its calculations. Random forest technology’s current benefits and drawbacks are contrasted with those of popular algorithms, and a clear vision of its potential applications in the future is presented. The artificial algorithm’s recommended operation mechanism chooses the algorithm’s nontechnical neutrality and value orientation.
Conjugated Linoleic Acid Treatment Attenuates Cancerous features in Hepatocellular Carcinoma Cells
Authors: Miri-Lavasani Zohre , Torabi Shukoofeh , Solhi Roya , Shokouhian Bahareh , Afsharian Parvaneh , Heydari Zahra , Piryaei Abbas , Farzaneh Zahra , Hossein-khannazer Nikoo , Es Hamidreza Aboulkheyr , Zahmatkesh Ensieh , Nussler Andreas , Hassan Moustapha , Najimi Mustapha , Vosough Massoud
Published: September 2022

Background. A growing number of hepatocellular carcinoma (HCC), and recurrence frequency recently have drawn researchers’ attention to alternative approaches. The concept of differentiation therapies (DT) relies on inducing differentiation in HCC cells in order to inhibit recurrence and metastasis. Hepatocyte nuclear factor 4 alpha (HNF4α) is the key hepatogenesis transcription factor and its upregulation may decrease the invasiveness of cancerous cells by suppressing epithelial-mesenchymal transition (EMT). This study aimed to evaluate the effect of conjugated linoleic acid (CLA) treatment, natural ligand of HNF4α, on the proliferation, migration, and invasion capacities of HCC cells in vitro. Materials and Method. Sk-Hep-1 and Hep-3B cells were treated with different doses of CLA or BIM5078 [1-(2

′

-chloro-5

′

-nitrobenzenesulfonyl)−2-methylbenzimidazole], an HNF4α antagonist. The expression levels of HNF4a and EMT related genes were evaluated and associated to hepatocytic functionalities, migration, and colony formation capacities, as well as to viability and proliferation rate of HCC cells. Results. In both HCC lines, CLA treatment induced HNF4α expression in parallel to significantly decreased EMT marker levels, migration, colony formation capacity, and proliferation rate, whereas BIM5078 treatment resulted in the opposite effects. Moreover, CLA supplementation also upregulated ALB, ZO1, and HNF4α proteins as well as glycogen storage capacity in the treated HCC cells. Conclusion. CLA treatment can induce a remarkable hepatocytic differentiation in HCC cells and attenuates cancerous features. This could be as a result of HNF4a induction and EMT inhibition.
Preparation of Graphene Nanosilver Composites for 3D Printing Technology
Authors: Liang Xiujuan , Ji Haixu
Published: September 2022

At present, graphene in two-dimensional carbon nanomaterials is a material with excellent properties. Its preparation technology and application prospects are very wide. The most common one is the chemical redox method, which can make graphite into graphite oxide dispersed in water. Graphene oxide obtained by the Hummers method has a wrinkled structure. In order to broaden the application field of graphene and give full play to its excellent properties, the current research on graphene mainly focuses on the preparation and application of functional composite materials as a matrix material or reinforcement material. Due to its special two-dimensional structure, it has a large specific surface area, good biocompatibility, and stable physical and chemical properties, making it an excellent nanoparticle carrier. The graphene-supported silver nanoparticles can effectively prevent the aggregation and stacking between particles, improve the electrochemical performance of the composite material, and expand its application range. In this article, the assisted preparation of graphene nanosilver composites by 3D printing technology (three-dimensional printing) was studied. 3D printing technology is a rapid prototyping technology that emerged in the 1980s. 3D printing technology is based on discrete stacking and realizes rapid processing of models by directly outputting data from the printing device. In this article, a new type of graphene oxide (GO) was prepared by the modified Hummers method. In the case of NaOH aqueous solution as a catalyst, silver nitrate and GO were used as precursors, and XRD, infrared spectrum, Raman spectrum, and other methods were used. The crystal structure and morphology of Ag/rGO under different conditions were studied, thus revealing the growth of silver particles and the changes of oxidized functional groups under different conditions. It was found that the intensity of the two peaks in the GNs-Ag-2 Raman spectral curve was seven times that of the GNs peak.
Assisting Laboratory Management Based on Network Big Data Mining Technology
Authors: Xu Yonghua
Published: September 2022

In today’s big data context, the composition of virtual networks is becoming increasingly complex, so it is neither easy nor difficult to strengthen the control of network security issues. This paper studies the important content of network big data mining-assisted laboratory management. On the basis of discussing the connotation of laboratory safety, combined with management practice, this paper puts forward some suggestions on laboratory safety management. This paper puts forward some views and thoughts on some problems existing in the management and experimental teaching of chemistry laboratory. By judging the stability of instruments and equipment, we know whether the calibration status of instruments and equipment has changed during this period, so as to ensure the sustainable use of instruments and equipment and the accuracy and traceability of laboratory test results. The use of laboratory management system can greatly improve the utilization rate of laboratory equipment, promote students’ autonomous learning, and promote the standardization of laboratory construction. Improve the network monitoring method of big data mining technology and the application mechanism of big data network monitoring, in one type of laboratory. Teachers and students in the laboratory can reasonably arrange their own time according to their own interests to guide and operate experiments. Through continuous operation and practice, students’ practical ability and experimental knowledge level should be improved as much as possible.
Comparison and Suggestions of Logistics Performance Index of Main Countries of Belt and Road Strategy Based on Bootstrap DEA Model
Authors: Pan Wen-Tsao , Jiang Bingqian , Wang Yuting , Cai Yueyuan , Ji Xiaoxia
Published: September 2022

As an important economic sector, logistics is becoming more important, if not crucial, in economic growth. In our nation, the logistics industry is booming, and it’s just getting better. However, in addition to focusing on the positive aspects of our country’s logistics industry’s development, we should also analyze and address the negative aspects of our country’s logistics industry’s development. The overall logistics pattern has not yet been formed, and there is an urgent need for systematic construction. The regional development is extremely unbalanced. By comparing the logistics performance indices of various Belt and Road countries, this research aims to examine the major elements influencing overall logistics performance. Second, we introduce the Moran index to explore the geographical association of the subdivision indicators of the logistics performance index using the spatial econometric model. The bootstrap DEA analysis method examines and ranks the countries’ logistics performance indexes, determines our country’s advantages and disadvantages in comparison to other Belt and Road countries, and executes specific improvement strategies that will enhance logistics and boost the overall growth of our country’s logistics sector.
[Retracted] Precision Strategy of Ideological and Political Education Using Big Data Analysis in Online Behavior Monitoring Environment
Authors: Wang Yuefen , Ma Chaoqun
Published: September 2022

Ideological and political education (IPE) is aimed at achieving people’s free and all‐around growth through the use of appropriate methods, and the use of educational methods is integral to the execution of education. Under the influence of big data, it is imperative to strengthen the research on the accuracy of ideology education in colleges and universities (IPECU), which necessitates that ideology educators adopt big data thinking, investigate novel pedagogical approaches, and consistently develop new IPECU conditions. In this paper, a collaborative filtering‐ (CF‐) based algorithm for IPE resource recommendations is presented. Users are given recommendations for educational resources based on their browsing history, browsing patterns, and preferences. The accurate recommendation system can determine users’ needs by examining how they use the website in order to suggest more useful information to them. In comparison to the conventional algorithm, the accuracy of the ideological and political education precision recommendation model in this study is 16.75% greater. Teachers can use big data technology to gather students’ data information that is dispersed throughout cyberspace, understand students’ states in real time, and deliver accurate instructional materials in accordance with students’ various states and needs by utilizing the intelligent ideology mode.
Pediatric Residency Training amid the COVID-19 Pandemic: Exploring the Impact of Supervision and Clinical Practice Guidelines on Clinical and Financial Outcomes
Authors: Endaryanto Anang , Dewi Arlina , Kusbaryanto  , Nugraha Ricardo Adrian
Published: September 2022

Objective. This study is aimed at calculating the magnitude of the effect of clinical practice guidelines (CPG) and supervision in inhibiting the negative impact of the COVID-19 pandemic on clinical and financial outcomes of non-COVID-19 inpatient care by pediatric residents in academic medical center (AMC) hospitals during the COVID-19 pandemic. Methods. The cohort retrospective study was conducted. This study collected patient data from pediatric residency programs. A research cohort consisted of non-COVID-19 pediatric patients at Dr. Soetomo General Academic Hospital. This study compared the subgroup of patients treated during the pandemic with those treated before the pandemic. The results were analyzed using SPSS 26.0 and Smart-PLS. Results. There was a 41.4% decrease in pediatric inpatients during the pandemic with an increased severity level and complexity level, a reduction of 7.46% availability of supervisors, an increase of 0.4% in

readmission
<
30

days, an increase of 0.31% in-hospital mortality, an increase the total costs of care, and a decrease of insurance claim profit. CPG did not moderate the effect of the COVID-19 pandemic on the clinical outcomes (

β
=
−
0.006

,

P
=
0.083

) but moderated the financial outcomes (

β
=
−
0.022

,

P
=
0.000

), by reducing the total cost of care and increasing insurance claim profit. Supervision moderated the effect of the COVID-19 pandemic on the clinical outcomes (

β
=
0.040

,

P
=
0.000

) by increasing aLOS and on the financial outcomes (

β
=
−
0.031

,

P
=
0.000

) by reducing the total cost of care and increasing insurance claim profit. This study model had a 24.0% variance of explanatory power for clinical outcomes and 49.0% for financial outcomes. This study’s structural model effectively predicted clinical outcomes (

Q

2

=
0.238

) and financial outcomes (

Q

2

=
0.413

). Conclusion. Direct supervision inhibited the negative impact of the COVID-19 pandemic on both clinical and financial outcomes of non-COVID-19 inpatient care by pediatric residents, while CPG only inhibited the negative impact on financial outcomes. Implication of This Study. In a disaster, the availability of CPG and direct supervision makes AMC hospitals able to inhibit the negative impact of disasters on clinical and financial outcomes.
Study on the Combination of Pump Rod Pipe in Complex Structure
Authors: He Dongxu
Published: September 2022

The 3-D mechanical model of the inclined shaft pumping pump and the optimization model of anti-partial wear structure and security position are established in this paper. Based on the real data of well, 148-inclined 2 slope measurement, the ordinary pipe rod combination, inclined well pumping pump lining oil pipe, and oil pump laser oil pipe are optimized and calculated. In order to improve the computing power and reduce computational time consumption, this paper uses cloud computing technology in the computing process. The results show that the combination method of the lining oil pipe and the ordinary continuous pumping rod has less axial force and lateral force, and finally, the combination method of different well pipes is obtained.
Distributed Scheduling Strategy of Virtual Power Plant Using the Particle Swarm Optimization Neural Network under Blockchain Background
Authors: Lu Changchang , Chen Sijie
Published: September 2022

Large-scale and widely dispersed distributed energy resource (DER) can be gathered by a virtual power plant (VPP) in a given area, and its parameters can be combined into a single external operation profile. Each distributed energy source in the VPP has a complete backup of the critical information for the entire network because it is a node of blockchain. The distribution network can be accessed by DER freely and adaptable under the scientific management of the VPP, and it can offer the system high-reliability, high-quality, and high-security power services. An energy blockchain network model based on particle swarm optimization (PSO) to optimise the neural network is proposed in this paper as a solution to the issues with the current VPP models. This will enable distributed dispatching of the VPP and reasonable load distribution among units. According to the simulation results, this algorithm’s error is minimal and its accuracy can reach 94.98 percent. This model can more accurately capture demand-side real-time information, which benefits VPP’s stable scheduling with a welcoming environment and transparent information. It also enhances the system’s data security and storage security. This system can successfully address the issues of subject-to-subject mistrust and high information interaction costs in the VPP.
[Retracted] An Analysis of the Effects of the English Language and Literature on Students’ Language Ability from a Multidimensional Environment
Authors: Chen Weifang
Published: September 2022

One of the most crucial components of a student’s language proficiency is basic language proficiency, which is also its fundamental component. The development of students’ language skills is greatly aided by ELL (English Language and Literature). It can not only foster the growth of students’ language thinking but also widen their perspectives and enhance their capacity for language comprehension. In this essay, the rules of English are examined from the multifaceted ELL viewpoint. This study extracts personality characteristic data from practical texts and incorporates it into a modelling process of students’ knowledge changes based on DM‐ (data mining‐) related technology and multidisciplinary expertise. According to the t‐test results, ELL, which incorporates communicative competence, has started to take on a role in education and is helping students’ language skills. The performance gains are 3.95, 4.21, and 3.66, when the number of computing nodes is increased to 10, 20, and 30 times that of the original nodes, and the linear expansion indices are 0.914, 0.928, and 0.93. This proves that the Hadoop+Hive‐based data cleaning tool has excellent linear scalability.
Exploration on the Action-Oriented Teaching Mode of Higher Vocational Political Courses under the Background of Internet + Education
Authors: Li Jiafang
Published: September 2022

With the advancement of the “Internet +” time, school lessons, family education, and social education, today’s college students present some characteristics that are different from those of previous college students. They are more active, dare to express, have the courage to express, can acquire knowledge through various channels such as the Internet, and are extremely concerned about current hot topics or current affairs. Therefore, they have higher requirements for teaching content and are not interested in outdated knowledge topics. Therefore, looking at mobile phones in class is a common phenomenon in college classrooms, which brings great confusion to teachers’ teaching. The so-called water can carry a boat and it can also capsize it. When the flood comes, it cannot be blocked, so we need to find a way to divert it. In this paper, by adopting the personalized recommendation algorithm based on collaborative filtering, the recommendation algorithm in the recommendation system is applied to the action-oriented online teaching platform of higher vocational political courses, and a hybrid programming method of cross-platform compatibility HTML5 and high-performance MUI framework is designed. Personalized online education platform for political courses in higher vocational colleges is based on a collaborative filtering algorithm. The server-side development selects a mature B/S architecture, adopts the currently popular MVC5 development model, and uses HTML5 and MUI frameworks for mobile terminals. In order to improve the effectiveness of ideological and political courses in higher vocational colleges, a three-in-one ideological and political course teaching model with thematic action orientation, “Internet +” action orientation, and practical action orientation has been explored, and good educational and teaching effects have been achieved.
Comparative Analysis of Automated Text Summarization Techniques: The Case of Ethiopian Languages
Authors: Demilie Wubetu Barud
Published: September 2022

Nowadays, there is an abundance of information available from both online and offline sources. For a single topic, we can get more than hundreds of sources containing a wealth of information. The ability to extract or generate a summary of popular content allows users to quickly search for content and obtain preliminary data in the shortest amount of time. Manually extracting useful information from them is a difficult task. Automatic text summarization (ATS) systems are being developed to address this issue. Text summarization is the process of extracting useful information from large documents and compressing it into a summary while retaining all the relevant contents. This review paper provides a broad overview of ATS research works in various Ethiopian languages such as Amharic, Afan Oromo, and Tigrinya using different text summarization approaches. The work has identified the novel and recommended state-of-the-art techniques and methods for future researchers in the area and provides knowledge and useful support to new researchers in this field by providing a concise overview of the various feature extraction methods and classification techniques required for different types of ATS approaches applied to the Ethiopian languages. Finally, different recommendations for future researchers have been forwarded.
Comprehensive Analysis of the Immune Implication of AKAP12 in Stomach Adenocarcinoma
Authors: Xu Zhiquan , Xiang Ling , Peng Linglong , Gu Haitao , Wang Yaxu
Published: September 2022

A kinase anchor protein 12 (AKAP12) as a tumor suppressor in various cancers has been extensively studied and confirmed. However, its immune implication in stomach adenocarcinoma (STAD) remains uncertain. Here, using The Cancer Genome Atlas (TCGA), Human Protein Atlas (HPA), Tumor Immune Estimation Resource (TIMER), Cancer Cell Line Encyclopedia (CCLE), integrated repository portal for tumor-immune system interactions (TISIDB), and Search Tool for the Retrieval of Interaction Gene/Proteins (STRING) database, we systematically analyzed the immune correlation of AKAP12 from three aspects including immune infiltration cells, immune-related pathways, and immunomodulators and developed a AKAP12-related 4-gene signature for prognosis prediction. Our results showed that AKAP12 mRNA and protein levels were downregulated in STAD patients, and its expression was positively related to CD4+ T cells and macrophages. In addition, the immune cell infiltration levels were associated with AKAP12 gene copy number deletion in STAD. Based on CCLE database, we found that AKAP12 coexpressed genes were enriched in several immune- and cancer-related pathways, which was further validated by Gene Set Enrichment Analysis (GSEA). Moreover, we identified 46 immunomodulators that were significantly related to AKAP12 expression using TISIDB database, and these immunomodulators were involved in immune-related pathways including Th17 cell differentiation and natural killer cell-mediated cytotoxicity. Additionally, based on the 46 AKAP12-related immunomodulators, a 4-gene risk prediction signature was developed using the Cox regression model. The risk signature was identified as an independent prognostic factor, which can accurately predict the prognosis of patients with STAD, showing good predictive performance. Furthermore, we constructed a prognostic nomogram and calibration to predict and assess patient survival probabilities by integrating the risk score and other clinical factors. In conclusion, our study provides strong evidence that AKAP12 is closely related to tumor immunity in STAD from three aspects: immune infiltration cells, immune pathways, and immunomodulators. More importantly, the AKAP12-related prognostic signature may have a good application prospect for clinical practice.
Effects of Electroacupuncture on the Correlation between Serum and Central Immunity in AD Model Animals
Authors: Jiang Jing , Wang Zidong , Yu Ruxia , Yang Jiayi , Tian Huiling , Liu Hao , Wang Shun , Li Zhigang , Zhu Xiaoshu
Published: September 2022

Objective. The goal was to investigate the connection between neuroinflammation in the brain and serum inflammatory markers as Alzheimer’s disease progressed. We also sought to determine whether electroacupuncture had an effect on inflammatory markers found in blood and other brain regions. Methods. As an animal model for AD, we used senescence-accelerated mouse prone 8 (SAMP8) mice. To examine the effects and probable mechanism of electroacupuncture, we used HE staining, immunofluorescence staining, western blotting, and enzyme-linked immunosorbent assay. Results. Electroacupuncture therapy protected neurons, significantly downregulated the Iba-1 level in the hippocampus (

p

value was 0.003), frontal lobe cortex (

p

value was 0.042), and temporal lobe cortex (

p

value was 0.013) of the AD animal model, all of which had significantly lower levels of IL-6 (

p

value was 0.001), IL-1β (

p

value was 0.001), and TNF-α (

p

value was 0.001) in their serum. Conclusion. The amounts of IL-6, IL-1β, and TNF-α detected in the serum were strongly linked to the levels discovered in the hippocampus and the frontal lobes of the brain, respectively. A better understanding of the electroacupuncture process as well as the course of Alzheimer’s disease and the therapeutic benefits of electroacupuncture may be gained by using biomarkers such as serum inflammatory marker biomarkers.
Object Detection Algorithm Based on Improved Feature Pyramid
Authors: Yu Bai , Pan Xuhua , Li Xuefeng , Liu Gaohua , Ma Yunpeng
Published: September 2022

Feature pyramid network is widely used in advanced object detection. By simply changing the network connection, the performance of small object detection can be greatly improved without increasing the amount of calculation of the original model. However, the algorithm still has some shortcomings. Therefore, a new attention feature pyramid network (attention PFN) is proposed. Firstly, an improved receptive field module is added, which can make full use of global and local context information. Secondly, the connection mode of the pyramid is further optimized. Deconvolution is used to replace the nearest neighbor interpolation in top-down up-sampling and a channel attention module is added to the horizontal connection to highlight important context information. Finally, adaptive fusion and spatial feature balance are used for each feature pyramid, so that the network can learn the weights of different feature layers. Each pyramid layer contains more discrimination information. Attention PFN is tested on Pascal VOC and MS COCO datasets, respectively. The experiment results revealed that the proposed method has better performance than the original algorithm. Therefore, the attention PFN is an effective algorithm.