bluuebunny/crossref_metadata_2025 huggingface dataset:
Summary of Utah Project on Exfoliation Syndrome (UPEXS): using a large database to identify systemic comorbidities
Authors: Pompoco Christian James , Curtin Karen , Taylor Samuel , Paulson Chase , Shumway Caleb , Conley Matt , Barker D James , Swiston Cole , Stagg Brian , Ritch Robert , Wirostko Barbara M
Published: October 2021

The purpose of the Utah Project on Exfoliation Syndrome (UPEXS) is to identify associations between exfoliation syndrome (XFS) and other diseases that share the commonality of abnormalities in elastin andLysyl Oxidase-Like 1gene regulation. The UPEXS is unique because it uses the Utah Population Database, which is linked to the Utah genealogy, that contains a compilation of large pedigrees of most families in the state of Utah that go back multiple generations (3 to ≥11). The health and medical records of these family members are linked to vital records and can be used effectively in studies focused on genetic disorders like XFS, where familial clustering of a disorder is a trend. There is increasing evidence that patients with XFS have a higher risk of certain systemic disorders that reflect the systemic tissue abnormalities of XFS. Epidemiological studies focused on patients with XFS have shown that there is an increased risk of these individuals developing other pathologies that have abnormalities in extracellular matrix metabolism and repair. UPEXS has focused on suspected comorbidities that involve abnormalities in elastin maintenance, a protein that plays a role in the makeup of the extracellular matrix. In this paper, the results from the analysis of chronic obstructive pulmonary disease, inguinal hernias, pelvic organ prolapse, obstructive sleep apnoea and atrial fibrillation are summarised along with the utility of using such a large dataset.
Enhancing palliative care occupancy and efficiency: a quality improvement project that uses a healthcare pathway for service integration and policy development
Authors: Alshammary Sami Ayed , Abuzied Yacoub , Ratnapalan Savithiri
Published: October 2021

This article described our experience in implementing a quality improvement project to overcome the bed overcapacity problem at a comprehensive cancer centre in a tertiary care centre. We formed a multidisciplinary team including a representative from patient and family support (six members), hospice care and home care services (four members), multidisciplinary team development (four members) and the national lead. The primary responsibility of the formulated team was implementing measures to optimise and manage patient flow. We used the plan–do–study–act cycle to engage all stakeholders from all service layers, test some interventions in simplified pilots and develop a more detailed plan and business case for further implementation and roll-out, which was used as a problem-solving approach in our project for refining a process or implementing changes. As a result, we observed a significant reduction in bed capacity from 35% in 2017 to 13.8% in 2018. While the original length of stay (LOS) was 28 days, the average LOS was 19 days in 2017 (including the time before and after the intervention), 10.8 days in 2018 (after the intervention was implemented), 10.1 days in 2019 and 16 days in 2020. The increase in 2020 parameters was caused by the COVID-19 pandemic, since many patients did not enrol in our new care model. Using a systematic care delivery approach by a multidisciplinary team improves significantly reduced bed occupancy and reduces LOS for palliative care patients.
Febrile neutropenia prophylaxis, G-CSF physician preferences: discrete-choice experiment
Authors: Scotte Florian , Simon Hélène , Laplaige Philippe , Antoine Eric-Charles , Spasojevic Caroline , Texier Nathalie , Gouhier Karine , Chouaid Christos
Published: October 2021

Objectives

Febrile neutropenia (FN) commonly occurs during cancer chemotherapy. Prophylaxis with granulocyte colony-stimulating factors (G-CSFs) is known to reduce the severity and incidence of FN and infections in patients with cancer. Despite the proven efficacy, G-CSFs are not always prescribed as recommended. We performed a discrete-choice experiment (DCE) to determine what factors drive the physician preference for FN prophylaxis in patients with cancer undergoing chemotherapy.

Methods

Attributes for the DCE were selected based on literature search and on expert focus group discussions and comprised pain at the injection site, presence of bone pain, associated fever/influenza syndrome, efficacy of prophylaxis, biosimilar availability, number of injections per chemotherapy cycle and cost. Oncologists, in a national database, were solicited to participate in an online DCE. The study collected the responses to the choice scenarios, the oncologist characteristics and their usual prescriptions of G-CSFs in the context of breast, lungs and gastrointestinal cancers.

Results

Overall, the responses from 205 physicians were analysed. The physicians were mainly male (61%), with ≤20 years of experience (76%) and working only in public hospitals (73%). The physicians prescribe G-CSF primary prophylaxis for 32% of patients: filgrastim in 46% and pegfilgrastim in 54%. The choice of G-CSF for primary and secondary prophylaxis was driven by cost and number of injections. Biosimilars were well accepted.

Conclusion

Cost and convenience of G-CSF drive the physician decision to prescribe or not G-CSF for primary and secondary FN prophylaxes. It is important that these results be incorporated in the optimisation of G-CSF prescription in the clinical setting.
Patient card games in palliative care: integrative review
Authors: Fernandes Carla Silvia , Lourenço Marisa , Vale Belem
Published: October 2021

Background

In the context of palliative care, a new approach has been documented that allows for sensitive end-of-life conversations to be established through a game of cards.

Objective

This study aimed to identify the use of card games with patients in palliative care, assess self-reported satisfaction and synthesise findings on the effectiveness of its application.

Design

We performed an integrative review study. The studies were collected from five databases, with no time limit until February 2021: Medical Literature Analysis and Retrieval System Online, Cumulative Index to Nursing and Allied Health Literature, Psychology and Behavioral Sciences Collection, SCOPUS and Scientific Electronic Library Online. The inclusion criteria were studies describing the use of card games in adult patients undergoing palliative care, in which the authors performed some type of evaluation. The methodological evaluation of the studies was carried out using the different standardised assessment tools from the Joanna Brigg’s Institute.

Results

Of the 685 articles identified, 9 met the inclusion criteria. Regarding methodological aspects, 4 studies were quantitative, 4 mixed-method methodologies, and 1 was qualitative. Card games have been in use for the last decade. The use of card games not only allows for participation in the game without any inhibitions and with a high degree of satisfaction, but also allows for the discussion of sensitive topics related to the end of life, motivating participants to engage in advanced care planning behaviours.

Conclusion

Our findings suggest that using a card game to facilitate conversations with patients in palliative care is a useful and effective approach to discussing uncomfortable topics of death, dying and end-of-life care.
Comparative analysis of major incident triage tools in children: a UK population-based analysis
Authors: Vassallo James , Chernbumroong Saisakul , Malik Nabeela , Xu Yuanwei , Keene Damian , Gkoutos George , Lyttle Mark D , Smith Jason
Published: October 2021

Introduction

Triage is a key principle in the effective management of major incidents. There is currently a paucity of evidence to guide the triage of children. The aim of this study was to perform a comparative analysis of nine adult and paediatric triage tools, including the novel ‘Sheffield Paediatric Triage Tool’ (SPTT), assessing their ability in identifying patients needing life-saving interventions (LSIs).

Methods

A 10-year (2008–2017) retrospective database review of the Trauma Audit Research Network (TARN) Database for paediatric patients (<16 years) was performed. Primary outcome was identification of patients receiving one or more LSIs from a previously defined list. Secondary outcomes included mortality and prediction of Injury Severity Score (ISS) >15. Primary analysis was conducted on patients with complete prehospital physiological data with planned secondary analyses using first recorded data. Performance characteristics were evaluated using sensitivity, specificity, undertriage and overtriage.

Results

15 133 patients met TARN inclusion criteria. 4962 (32.8%) had complete prehospital physiological data and 8255 (54.5%) had complete first recorded physiological data. The majority of patients were male (69.5%), with a median age of 11.9 years. The overwhelming majority of patients (95.4%) sustained blunt trauma, yielding a median ISS of 9 and overall, 875 patients (17.6%) received at least one LSI. The SPTT demonstrated the greatest sensitivity of all triage tools at identifying need for LSI (92.2%) but was associated with the highest rate of overtriage (75.0%). Both the Paediatric Triage Tape (sensitivity 34.1%) and JumpSTART (sensitivity 45.0%) performed less well at identifying LSI. By contrast, the adult Modified Physiological Triage Tool-24 (MPTT-24) triage tool had the second highest sensitivity (80.8%) with tolerable rates of overtriage (70.2%).

Conclusion

The SPTT and MPTT-24 outperform existing paediatric triage tools at identifying those patients requiring LSIs. This may necessitate a change in recommended practice. Further work is needed to determine the optimum method of paediatric major incident triage, but consideration should be given to simplifying major incident triage by the use of one generic tool (the MPTT-24) for adults and children.
Enhanced model for leadership development for trainees and early career health professionals: insights from a national survey of UK clinical scientists
Authors: Buckley Sharon , Smith Megan , Patel Jaimini , Gay Sandie , Davison Ian
Published: October 2021

Introduction

The importance of shared or distributed leadership in healthcare is recognised; however, trainees, early career professionals and others for whom the exercise of leadership is a recent development report being underprepared for leadership roles. Trainee clinical scientists exemplify such groups, being both early in their career and in a profession for which clinical leadership is less well established. Their insights can inform understanding of appropriate forms of leadership development for health professionals.

Methods

We explored perceptions of leadership and its development for trainee clinical scientists on the UK preregistration Scientist Training Programme through semi-structured interviews with trainees, training officers, academic educators and lead healthcare scientists; and through an online questionnaire based on the UK multiprofessional Clinical Leadership Competency Framework (CLCF). Responses were analysed statistically or thematically as appropriate.

Results

Forty interviews were undertaken and 267 valid questionnaire responses received. Stakeholders recognised clinical expertise as integral to leadership; otherwise their perceptions aligned with CLCF domains and ‘shared leadership’ philosophy. They consider learning by ‘doing’ real tasks (leadership activities) key to competency acquisition, withleadership education(eg, observation and theory) complementing these. Workplace affordances, such as quality of departmental leadership, training officer engagement and degree of patient contact affect trainees’ ability to undertake leadership activities.

Conclusions

From our research, we have developed an enhanced model for leadership development for trainee and early career clinical scientists that may have wider applicability to other health professions and groups not traditionally associated with clinical leadership. To foster their leadership, we argue that improving workplace affordances is more important than improving leadership education.
Vaginal microbiota affects urinary tract infection risk in women with systemic lupus erythematosus: a pilot cross-sectional study from Thailand
Authors: Rotjanapan Porpon , Jaroensukrungruang Aunyakant , Pisitkun Prapaporn , Ngamjanyaporn Pintip , Manonai Jittima , Sawaswong Vorthon , Chanchaem Prangwalai , Payungporn Sunchai
Published: October 2021

Objective

The risk factors associated with urinary tract infections (UTIs) in patients with SLE remain uncertain. We evaluated the vaginal microbiota pattern and its potential UTI-associated risk factors.

Methods

A pilot cross-sectional study of patients with SLE was conducted at Ramathibodi Hospital, Bangkok, Thailand, during 2019–2020. Patients’ demographic data and relevant information were collected. Vaginal microbiota was assessed in all patients and in 10 healthy volunteers.

Results

Fifty-two patients were enrolled (mean age: 46.1 years). All patients had SLE that was in low disease activity. As per the Simpson_e index, the within-group alpha diversity of the vaginal microbiota was low in the SLE with UTI and SLE receiving trimethoprim-sulfamethoxazole (TMP-SMX) prophylaxis groups. Multivariate logistic regression analysis revealed that TMP-SMX prophylaxis (adjusted OR (AOR), 30.96; 95% CI 3.63 to 264.11; p=0.002), elevated C3 levels (AOR, 35.33; 95% CI 1.33 to 936.67; p=0.033) and presence ofVeillonella disparin the vaginal microbiota (AOR, 6.68; 95% CI 1.27 to 35.07; p=0.025) were associated with UTI.

Conclusions

The vaginal microbiota diversity differed between patients with lupus with and without UTI, and unnecessary administration of TMP-SMX prophylaxis may affect the alpha diversity of the vaginal microbiota.
Randomised controlled trial to investigate the use of high-frequency airway oscillations astraining toimprovedyspnoea (TIDe) in COPD
Authors: Daynes Enya , Greening Neil , Singh Sally J
Published: October 2021

Background

Chronic obstructive pulmonary disease (COPD) is characterised by symptomatic dyspnoea and reduced exercise tolerance, in part as a result muscle weakness, for which inspiratory muscle training (IMT) may be useful. Excess mucus hypersecretion commonly coexists in COPD and may lead to reduce ventilation, further impacting on breathlessness. Devices for sputum clearance may be employed to aid mucus expectoration. This trial aimed to explore the effectiveness of a combined IMT and high-frequency airway oscillating (HFAO) device in the management of dyspnoea.

Methods

This was a double-blinded, randomised sham-controlled trial which recruited symptomatic patients with COPD. Patients were randomised to either a HFAO device (Aerosure) or sham device for 8 weeks, three times a day. The primary outcome was the Chronic Respiratory Questionnaire dyspnoea (CRQ-D) domain. Pre-specified subgroup analyses were performed including those with respiratory muscle weakness, excessive sputum and frequent exacerbators.

Results

104 participants (68% men, mean (SD) age 69.75 years (7.41), forced expiratory volume in 1 s per cent predicted 48.22% (18.75)) were recruited to this study with 96 participants completing. No difference in CRQ-D was seen between groups (0·28, 95% CI −0.19 to 0.75, p=0.24), though meaningful improvements were seen over time in both groups (mean (SD) HFAO 0.45 (0.78), p<0.01; sham 0.73 (1.09), p<0.01). Maximal inspiratory pressure significantly improved in the HFAO group over sham (5.26, 95% CI 0.34 to 10.19, p=0.05). Similar patterns were seen in the subgroup analysis.

Conclusion

There were no statistical differences between the HFAO and the sham group in improving dyspnoea measured by the CRQ-D.

Trial registration number

ISRCTN45695543.
Probing quark mass matrices in the flavor basis
Authors: Vashisht Aseem , Channey Kanwaljeet S. , Bagai Aakriti , Awasthi Nikhila , Ahuja Gulsheen , Gupta Manmohan
Published: October 2021

In this paper, structural features of quark mass matrices have been analyzed in the flavor basis which is allowed by weak basis transformations in the Standard Model. Using the latest precised data pertaining to quark mixing matrix and small quark masses, we find that the texture structure of these cannot be simplified further. However, we find enormous amount of simplification is possible wherein we have found that a single phase in the mass matrix is adequate to accommodate the CP violating phase of CKM matrix.
Multi-scale Features Fusion for the Detection of Tiny Bleeding in Wireless Capsule Endoscopy Images
Authors: Lu Feng , Li Wei , Lin Song , Peng Chengwangli , Wang Zhiyong , Qian Bin , Ranjan Rajiv , Jin Hai , Zomaya Albert Y.
Published: October 2021

Wireless capsule endoscopy is a modern non-invasive Internet of Medical Imaging Things that has been increasingly used in gastrointestinal tract examination. With about one gigabyte image data generated for a patient in each examination, automatic lesion detection is highly desirable to improve the efficiency of the diagnosis process and mitigate human errors. Despite many approaches for lesion detection have been proposed, they mainly focus on large lesions and are not directly applicable to tiny lesions due to the limitations of feature representation. As bleeding lesions are a common symptom in most serious gastrointestinal diseases, detecting tiny bleeding lesions is extremely important for early diagnosis of those diseases, which is highly relevant to the survival, treatment, and expenses of patients. In this article, a method is proposed to extract and fuse multi-scale deep features for detecting and locating both large and tiny lesions. A feature extracting network is first used as our backbone network to extract the basic features from wireless capsule endoscopy images, and then at each layer multiple regions could be identified as potential lesions. As a result, the features maps of those potential lesions are obtained at each level and fused in a top-down manner to the fully connected layer for producing final detection results. Our proposed method has been evaluated on a clinical dataset that contains 20,000 wireless capsule endoscopy images with clinical annotation. Experimental results demonstrate that our method can achieve 98.9% prediction accuracy and 93.5%

score, which has a significant performance improvement of up to 31.69% and 22.12% in terms of recall rate and

score, respectively, when compared to the state-of-the-art approaches for both large and tiny bleeding lesions. Moreover, our model also has the highest AP and the best medical diagnosis performance compared to state-of-the-art multi-scale models.
How Instructional Designers Work and Think in Online Higher Education
Authors: Howles Les
Published: October 2021

This article summarizes the main themes and chapters for
The Learner-Centered Instructional Designer
(Stylus Publishing, 2021) and provides a critical evaluation and recommendations for prospective readers. The book consists of 19 short essay-like chapters where 20 experienced instructional designers cover a range of topics related to instructional design consulting in higher education. The various authors share practical strategies and best practices about working with instructors to create online courses.
β-Arrestins as Important Regulators of Glucose and Energy Homeostasis
Authors: Pydi Sai P. , Barella Luiz F. , Zhu Lu , Meister Jaroslawna , Rossi Mario , Wess Jürgen
Published: October 2021

β-Arrestin-1 and -2 (also known as arrestin-2 and -3, respectively) are ubiquitously expressed cytoplasmic proteins that dampen signaling through G protein–coupled receptors. However, β-arrestins can also act as signaling molecules in their own right. To investigate the potential metabolic roles of the two β-arrestins in modulating glucose and energy homeostasis, recent studies analyzed mutant mice that lacked or overexpressed β-arrestin-1 and/or -2 in distinct, metabolically important cell types. Metabolic analysis of these mutant mice clearly demonstrated that both β-arrestins play key roles in regulating the function of most of these cell types, resulting in striking changes in whole-body glucose and/or energy homeostasis. These studies also revealed that β-arrestin-1 and -2, though structurally closely related, clearly differ in their metabolic roles under physiological and pathophysiological conditions. These new findings should guide the development of novel drugs for the treatment of various metabolic disorders, including type 2 diabetes and obesity.
Respiratory syncytial virus infection induces the release of transglutaminase 2 from human airway epithelial cells
Authors: Rayavara Kempaiah , Kurosky Alexander , Hosakote Yashoda M.
Published: October 2021

Respiratory syncytial virus (RSV) is an important human pathogen that causes severe lower respiratory tract infections in young children, the elderly, and the immunocompromised, yet no effective treatments or vaccines are available. The precise mechanism underlying RSV-induced acute airway disease and associated sequelae are not fully understood; however, early lung inflammatory and immune events are thought to play a major role in the outcome of the disease. Moreover, oxidative stress responses in the airways play a key role in the pathogenesis of RSV. Oxidative stress has been shown to elevate cytosolic calcium (Ca2+) levels, which in turn activate Ca2+-dependent enzymes, including transglutaminase 2 (TG2). Transglutaminase 2 is a multifunctional cross-linking enzyme implicated in various physiological and pathological conditions; however, its involvement in respiratory virus-induced airway inflammation is largely unknown. In this study, we demonstrated that RSV-induced oxidative stress promotes enhanced activation and release of TG2 from human lung epithelial cells as a result of its translocation from the cytoplasm and subsequent release into the extracellular space, which was mediated by Toll-like receptor (TLR)-4 and NF-κB pathways. Antioxidant treatment significantly inhibited RSV-induced TG2 extracellular release and activation via blocking viral replication. Also, treatment of RSV-infected lung epithelial cells with TG2 inhibitor significantly reduced RSV-induced matrix metalloprotease activities. These results suggested that RSV-induced oxidative stress activates innate immune receptors in the airways, such as TLRs, that can activate TG2 via the NF-κB pathway to promote cross-linking of extracellular matrix proteins, resulting in enhanced inflammation.
Temporal differences between load and movement signal integration in the sensorimotor network of an insect leg
Authors: Gebehart Corinna , Büschges Ansgar
Published: October 2021

Networks integrating multisensory input face the challenge of not only spatial but also temporal integration. In the local network controlling insect leg movements, proprioceptive signal delays differ between sensory modalities. Specifically, signal transmission times to and neuronal connectivity within the sensorimotor network lead to delayed information about leg loading relative to movement signals. Temporal delays persist up to the level of the motor output, demonstrating its relevance for motor control.
Ground State Solution for an Autonomous Nonlinear Schrödinger System
Authors: Liu Min , Liu Jiu
Published: October 2021

In this paper, we study the following autonomous nonlinear Schrödinger system (discussed in the paper), where

λ
,
μ

, and

ν

are positive parameters;

2

∗

=
2
N
/

N
−
2

is the critical Sobolev exponent; and

f

satisfies general subcritical growth conditions. With the help of the Pohožaev manifold, a ground state solution is obtained.
[Retracted] Optimization of Human Motion Recognition Information Processing System Based on GA‐BP Neural Network Algorithm
Authors: Zhao Shuwei
Published: October 2021

At present, there are some problems in the process of human motion recognition, such as poor timeliness and low fault tolerance rate. How to effectively identify the motion process accurately has become a hot spot in the optimization system. In the existing research studies, the recognition accuracy is not very good and the response time is long. To end this issue, the paper proposed an information processing system and optimization method of human motion recognition based on the GA‐BP neural network algorithm. Firstly, a human motion recognition system based on dynamic capture recognition technology is designed, which realizes the recognition of motion information from common postures such as action span, speed change, motion trajectory, and other aspects in the process of human motion. Secondly, the proposed algorithm is used to comprehensively analyse and evaluate the motion state. Finally, experiments are designed to verify and analyse the results. Compared to some baseline methods in human motion recognition information systems, the system in this paper based on the GA‐BP neural network algorithm has the advantages of higher data accuracy and response speed, which can quickly and accurately identify the muscle group change in the process of human motion, and it can also provide customized motion suggestions based on the results.
An Architectural Framework for Healthcare Dashboards Design
Authors: Rouhani Saeed , Zamenian Shooka
Published: October 2021

In today’s competitive environment, one of the new tools in the field of information technology is business or organizational dashboards that are a backup in the process of strategic management of organizations. The purpose of the current research is to provide a framework to design the healthcare dashboard through technical architecture with fulfilling the decision-makers’ requirements. In this study, a common qualitative research method, metasynthesis, is applied, including a seven-step set of research questions, conducting systematic literature search and selection of suitable papers, data extraction, analysis and findings of the qualitative composition, quality control, and presentation of findings. During this process, 102 articles were found by saturation of information resources and then 12 articles were selected for extracting data using acceptance and rejection criteria. A critical evaluation method was used to evaluate the quality of selected articles. After investigating the selected articles and scoring them, in terms of quality, one article was very good, 10 articles were good, and one article was moderate. Then, with regard to the principles and guidelines of technical architecture, the required information was extracted from the selected articles and was analyzed with the method of open, axial, and selective coding. Following the steps of metasynthesis methods, the principles extracted with major and minor titles principles and guidelines in the form of multilayered system architecture including presentation layer, application layer, data layer, and technical infrastructure layer were classified. In the obtained framework, 15 indicators as the main principles and 66 subcriteria as the subsidiary principles for the design and technical architecture of enterprise dashboards were identified.
Application of Slope Radar (S-SAR) in Emergency Monitoring of the “11.03” Baige Landslide
Authors: Wei Xu , Wenkai Feng
Published: October 2021

On October 11 and November 3, 2018, the disaster chain of landslide-barrier lake occurred twice in Baige Village, Xizang Province. After the second sliding of the landslide, the danger of the landslide dam was eliminated by the manual excavation of the drain grooves. During this period, a ground-based interferometric synthetic aperture radar (GB-InSAR) called “S-SAR” was utilized for real-time monitoring and analyzing 48 selected target pixels on the residual deformation bodies of landslides (divided into K1, K2, and K3 deformation zones) for 8 days. Through the real-time deformation map of pixels in the monitoring area obtained by S-SAR, the ranges of five strong deformation regions were identified and delineated. Based on the apparent cumulative deformation-time curve of each target pixel, the overall deformation law of K1, K2, and K3 deformation zones could be monitored and analyzed in real time. Based on a curve graph of the deformation rate, acceleration, and time of each target pixel, the K1, K2, and K3 deformation zones were within a uniform deformation stage. Taking the target pixel point and the corresponding time in which the deformation rate and deformation acceleration had a large, abrupt jump at the same time as the position and time of the near-slip failure, the 11 positions and moments of the near-slip failure were counted. The results presented here may represent a workable reference for emergency monitoring and early warning of similar sudden geological disasters.
Application of Cloud Computing and Information Fusion Technology in Green Investment Evaluation System
Authors: Wang Pengwu
Published: October 2021

As an important part of the development of green economy, the green investment evaluation system provides a method to identify the performance of the investment environment and also guides the design of green investment plans. This article is aimed at analyzing the application of cloud computing and information fusion technology in the green investment evaluation system, using empirical analysis, qualitative and quantitative analysis, data integration, and distributed computing algorithms to carry out research. Data acquisition is mainly through cloud platform information fusion, to evaluate the investment subject, investment object, and investment vehicle of green investment. Qualitative and quantitative analysis is mainly through the definition of prerequisites by stipulating certain aspects of green, and the analysis of the country’s data changes in a certain time zone. Focus on the qualitative analysis and research on the green benefit attributes of a certain thing. In addition, by analyzing the influencing factors of the investment development status of green industries in different countries, such as green products, green projects, and green funds, it proves that the application of cloud computing and information fusion technology has a huge effect on the green investment evaluation system. Experimental data shows that in the past five years, investment in fixed assets in my country’s major industries accounted for the proportion of fixed asset investment in the whole society, and investment in environmental protection and energy supply industries has continued to rise. This upward trend is manifested in the fact that the amount of energy investment is increasing year by year. The development trend is the strongest during the development period and the entry period, and its data grows the most rapidly, while investment in the transportation industry has always been listed in the tables. For the first place in the industry, the highest was 20.84%.
Broussochalcone A Induces Apoptosis in Human Renal Cancer Cells via ROS Level Elevation and Activation of FOXO3 Signaling Pathway
Authors: Lee Han Ki , Cha Hyo Sun , Nam Myeong Jin , Park Kyungmoon , Yang Yung-Hun , Lee Jongsung , Park See-Hyoung
Published: October 2021

Broussochalcone A (BCA) is a chalcone compound extracted from the cortex of Broussonetiapapyrifera (L.) Ventenat that exerts various effects, such as potent antioxidant, antiplatelet, and anticancer effects. However, the effects of BCA against cancers have been seldom studied. This study is aimed at demonstrating the apoptotic mechanisms of BCA in A498 and ACHN cells, which are two types of human renal cancer cell lines. MTT, cell counting, and colony formation assays indicated that BCA treatment inhibited cell viability and cell growth. Further, cell cycle analysis revealed that BCA induced cell cycle arrest at the G2/M phase. Annexin V/PI staining and TUNEL assays were performed to determine the apoptotic effects and DNA fragmentation after treatment with BCA. Based on western blot analysis, BCA induced the upregulation of cleaved PARP, FOXO3, Bax, p21, p27, p53, phosphorylated p53 (ser15, ser20, and ser46), and active forms of caspase‐3, caspase‐7, and caspase‐9 proteins, but downregulated the proforms of the proteins. The expression levels of pAkt, Bcl‐2, and Bcl‐xL were also found to be downregulated. Western blot analysis of nuclear fractionation results revealed that BCA induced the nuclear translocation of FOXO3, which might be induced by DNA damage owing to the accumulation of reactive oxygen species (ROS). Elevated intracellular ROS levels were also found following BCA treatment. Furthermore, DNA damage was detected after BCA treatment using a comet assay. The purpose of this study was to elucidate the apoptotic effects of BCA against renal cancer A498 and ACHN cells. Collectively, our study findings revealed that the apoptotic effects of BCA against human renal cancer cells occur via the elevation of ROS level and activation of the FOXO3 signaling pathway.
Motion Attitude Recognition and Behavior Prediction Algorithm Based on Wireless Sensor Network
Authors: Zhang Tianping , Zhang Bo , Liu Lei , Liu Yang
Published: October 2021

The wireless sensor network is an integral part of the physical information system. Disperse sensors through a set of special spaces track and record the natural state of the environment and manage the information collected in a central location. The sensors use wireless connections to create their own networks. Wireless sensor network technology has the advantages of flexible deployment and convenient use and has played an important role in the field of user behavior recognition. By deploying wireless sensor network technology, users can collect daily information, capture users’ behavior habits, and analyze users’ health status. In the deployment and application of this type of technology, it is very important to build an effective model of the logical sequence relationship of the monitored person’s behavior. The sensor data can be sent to the target user through wireless transmission. Action recognition is often based on a single feature for learning and judgment, so there are many difficulties in practical applications. This article aims to study motion shake awareness and action prediction algorithms based on wireless sensor networks. Aiming at the research of human pose recognition algorithm, to optimize the overall performance of the model, this article suggests the use of multimodal input, uses a 2D and 3D network structure, and finally, proposes two network weighted fusion strategies. Aiming at the research of pedestrian motion discrimination, this article offers a behavior prediction algorithm based on multifeature joint learning. The algorithm adds the feature vectors output by gesture recognition and mask prediction and uses a cross-entropy cost function to jointly learn and predict classification. The results of the survey show that the pedestrian gesture recognition and motion recognition algorithm based on the wireless sensor network proposed in this paper has good performance and can be widely used in real scenes such as video surveillance. The accuracy of the gesture recognition algorithm in the UCF101 dataset and the HMDB51 dataset was 96% and 72%, respectively.
Dinuclear Copper(I) Thiodiacetate Complex-Mediated Expeditious Synthesis of the Chlorine-Containing Cyclen-Cored 36-Glucose-Coated Glycodendrimer
Authors: Agrahari Anand K. , Kumar Sunil , Sharma Anindra , Tiwari Vinod K.
Published: October 2021

High-sugar-tethered glycodendrimers are a remarkable tool in glycobiology for the investigation of carbohydrate-protein interaction using its multivalency property. An enthralling double-stage convergent synthetic approach was selected to build a novel class of chlorine-containing glucose-coated dendrimers using an efficient click catalyst ‘dinuclear copper(I) thiodiacetate complex.’ In this context, cyclen core was developed through a divergent approach, while the glucodendron was developed via a convergent approach independently. Both azide-alkyne partners were coupled through a modular copper azide-alkyne cycloaddition (CuAAC) strategy to afford a high yield of the desired 36-glucose-coated glycodendrimer. The synthesized glycodendrimer has been elucidated by NMR, gel permeation chromatography (GPC), and IR spectral analysis.
A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals
Authors: Ouchani Mahshad , Gharibzadeh Shahriar , Jamshidi Mahdieh , Amini Morteza
Published: October 2021

This study will concentrate on recent research on EEG signals for Alzheimer’s diagnosis, identifying and comparing key steps of EEG‐based Alzheimer’s disease (AD) detection, such as EEG signal acquisition, preprocessing function extraction, and classification methods. Furthermore, highlighting general approaches, variations, and agreement in the use of EEG identified shortcomings and guidelines for multiple experimental stages ranging from demographic characteristics to outcomes monitoring for future research. Two main targets have been defined based on the article’s purpose: (1) discriminative (or detection), i.e., look for differences in EEG‐based features across groups, such as MCI, moderate Alzheimer’s disease, extreme Alzheimer’s disease, other forms of dementia, and stable normal elderly controls; and (2) progression determination, i.e., look for correlations between EEG‐based features and clinical markers linked to MCI‐to‐AD conversion and Alzheimer’s disease intensity progression. Limitations mentioned in the reviewed papers were also gathered and explored in this study, with the goal of gaining a better understanding of the problems that need to be addressed in order to advance the use of EEG in Alzheimer’s disease science.
Linear Barycentric Rational Method for Solving Schrodinger Equation
Authors: Zhao Peichen , Cheng Yongling
Published: October 2021

A linear barycentric rational collocation method (LBRCM) for solving Schrodinger equation (SDE) is proposed. According to the barycentric interpolation method (BIM) of rational polynomial and Chebyshev polynomial, the matrix form of the collocation method (CM) that is easy to program is obtained. The convergence rate of the LBRCM for solving the Schrodinger equation is proved from the convergence rate of linear barycentric rational interpolation. Finally, a numerical example verifies the correctness of the theoretical analysis.
A Clinical Study on the Treatment of Children’s Short Stature with Auxiliary Comprehensive Management Combined with Growth Patch
Authors: Feng Haiying , Zhao Weizhu , Yu Huijun , Wang Guanfu , Wang Qunhong
Published: October 2021

Objective. To explore the clinical effect of auxiliary comprehensive management combined with growth patch in the treatment of childhood idiopathic short stature (ISS). Methods. From September 2017 to December 2019, 120 children with ISS who met the selection criteria were collected. Random number table method divided them into 2 groups: one group was given auxiliary comprehensive management and recorded as the routine group (n = 60), and the other group was given auxiliary comprehensive management and combined growth patch treatment and recorded as the combination group (n = 60). The course of treatment was 12 months. The effects of the two methods on children’s height, bone age, body weight, and insulin-like growth factor (IGF)-1 and IGF-binding protein (IGFBP)-3 levels were compared. Results. There was no statistical difference between the two groups in baseline height, genetic height, baseline bone age, baseline body weight, and body weight before and after treatment (

P
>
0.05

). After treatment, the heights of the two groups were higher than before for the same group, the height growth values and predicted adult height of the combination group were higher than those of the routine group, and the predicted adult height of the combination group was higher than the genetic height of the same group

P
<
0.001

. There was no statistical difference in IGF-1 and IGFBP-3 levels before treatment between the two groups (

P
>
0.05

). The levels of IGF-1 and IGFBP-3 after treatment in the two groups were higher than those in the same group before treatment, and the combination group was higher than that in the routine group (

P
<
0.05

). Conclusion. On the basis of auxiliary comprehensive management, combined with growth patch for the treatment of children with ISS, it can effectively increase the height of the children, improve the levels of serum IGF-1 and IGFBP-3, and have significant clinical effects, which is beneficial to the healthy growth of the children.
Multi-Slice Spiral Computed Tomography Image Features under Hybrid Iterative Reconstruction Algorithm in Staging Diagnosis of Bladder Cancer
Authors: Zang Lan
Published: October 2021

Objective. This study was aimed to explore the accuracy of multi-slice spiral computed tomography (CT) scan in preoperative staging diagnosis of bladder cancer based on hybrid iterative reconstruction algorithm, so as to provide a more reasonable supporting basis for guiding clinical work in the future. Methods. Retrospectively, 120 patients admitted to hospital from July 2019 to April 2021, who were confirmed to be with urothelial carcinoma of the bladder by pathological examination after surgical treatment, were selected. CT images before processing were set as the control group and those after processing were set as the observation group according to whether they were processed by the hybrid iterative algorithm. Postoperative pathological examination was utilized as the standard for analysis. The accuracy and consistency of the two methods were compared. Results. The accuracy of the results of each stage of the observation group (T1 stage: 91.09%, T2 stage: 89.66%, T3 stage: 88.89%, and T4 stage: 88.89%) and consistency (T1 stage: 0.66, T2 stage: 0.69, T3 stage: 0.71, and T4 stage: 0.82) were higher than those of the control group (accuracy: T1—57.01%, T2—48.28%, T3—44.44%, and T4—44.44%). The consistency was as follows: T1—0.32, T2—0.24, T3—0.37, and T4—0.43, and the comparison was statistically significant (

P

 < 0.05). Conclusion. The adoption value of the image features based on the hybrid iterative reconstruction algorithm in the diagnosis of bladder cancer staging was higher than that of the conventional multi-slice spiral CT, indicating that the hybrid iterative reconstruction algorithm had a good adoption prospect in clinical examination.
Segmentation of Gastric Computerized Tomography Images under Intelligent Algorithms in Evaluation of Efficacy of Decitabine Combined with Paclitaxel in Treatment of Gastric Cancer
Authors: Ge Zhenghui , Wang Mengyun , Liu Qun
Published: October 2021

To analyze the evaluation of artificial intelligence algorithm combined with gastric computed tomography (CT) image in clinical chemotherapy for advanced gastric cancer, 112 patients with advanced gastric cancer were selected as the research object. Among which, 56 patients in the experimental group received paclitaxel (PTX) combined with decitabine sequential decitabine maintenance therapy. Fifty-six patients in the control group received first-line treatment with decitabine combined with cisplatin. The image segmentation algorithm based on fast interactive dictionary selection was used to process gastric CT images. Complete response (CR), partial response (PR), stable disease (SD), progressive disease (PD), response rate (RR), disease control rate (DCR), and overall survival (OS) after treatment were recorded. The true-positive rate (TPR) and coincidence ratio (CR) of the proposed algorithm for image segmentation were significantly higher than those of the mean shift algorithm and the iCoseg algorithm. The mean edge distance (MED) and edge distance variance (EDV) were significantly lower than the mean shift algorithm and the iCoseg algorithm, and the differences were considerable (

P
<
0.05

). The number of CR (5 cases), PR (13 cases), RR (18 cases), and DCR (44 cases) in the experimental group was significantly higher than that in the control group, while the number of PD (12 cases) was significantly lower than that in the control group (

P
<
0.05

). The number of patients complicated with hematological toxicity, leucopenia, thrombocytopenia, and digestive tract reaction in the experimental group was less than that in the control group (

P
<
0.05

). From the comparison of long-term efficacy, the survival rate of patients in both groups showed a decreasing trend within 24 months, but the decreasing trend of survival rate of patients in the experimental group was better than that in the control group. In short, the proposed algorithm had better segmentation performance than traditional algorithms. Compared with first-line treatment with decitabine and cisplatin, PTX in combination with decitabine sequential citabine maintenance regimens had better disease control rates, lower toxicity, and more effective improvements in patient quality of life and longer survival in patients with advanced gastric cancer.
Solution of Linear and Quadratic Equations Based on Triangular Linear Diophantine Fuzzy Numbers
Authors: Khan Naveed , Yaqoob Naveed , Shams Mudassir , Gaba Yaé Ulrich , Riaz Muhammad
Published: October 2021

This paper is introducing a new concept of triangular linear Diophantine fuzzy numbers (TLDFNs) in a generic way. We first introduce the concept of TLDFNs and then study the arithmetic operations on these numbers. We find a method for the ranking of these TLDFNs. At the end, we formulate the linear and quadratic equations of the types

A
+
X
=
B
,

A
·
X
+
B
=
C

, and

A
·

X

2

+
B
·
X
+
C
=
D

where the elements

A
,
B
,
C

, and

D

are TLDFNs. We provide a procedure for the solution of these equations using

s
,
t

,

u
,
v

-cut and also provide the examples.
A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC
Authors: Alam Mehmood , Zhang Qi
Published: October 2021

One objective of the 5G communication system and beyond is to support massive machine type of communication (mMTC) to propel the fast growth of diverse Internet of Things use cases. The mMTC is aimed at providing connectivity to tens of billions of sensor nodes. The dramatic increase of sensor devices and massive connectivity impose critical challenges for the network to handle the enormous control signaling overhead with limited radio resources. Nonorthogonal multiple access (NOMA) is a new paradigm shift in the design of multiple user detection and multiple access. NOMA with compressive sensing‐based multiuser detection is one of the promising candidates to address the challenges of mMTC. The survey article is aimed at providing an overview of the current state‐of‐art research work in various compressive sensing‐based techniques that enable NOMA. We present characteristics of different algorithms and compare their pros and cons, thereby providing useful insights for researchers to make further contributions in NOMA using compressive sensing techniques. Nonorthogonal CDMA massive connectivity grant free medium access compressive sensing multiuser detection