bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of prismatic adaptation on balance and postural disorders in patients with chronic right stroke: protocol for a multicentre double-blind randomised sham-controlled trial
Authors: Hugues Aurélien , Guinet-Lacoste Amandine , Bin Sylvie , Villeneuve Laurent , Lunven Marine , Pérennou Dominic , Giraux Pascal , Foncelle Alexandre , Rossetti Yves , Jacquin-Courtois Sophie , Luauté Jacques , Rode Gilles
Published: November 2021

Introduction

Patients with right stroke lesion have postural and balance disorders, including weight-bearing asymmetry, more pronounced than patients with left stroke lesion. Spatial cognition disorders post-stroke, such as misperceptions of subjective straight-ahead and subjective longitudinal body axis, are suspected to be involved in these postural and balance disorders. Prismatic adaptation has showed beneficial effects to reduce visuomotor disorders but also an expansion of effects on cognitive functions, including spatial cognition. Preliminary studies with a low level of evidence have suggested positive effects of prismatic adaptation on weight-bearing asymmetry and balance after stroke. The objective is to investigate the effects of this intervention on balance but also on postural disorders, subjective straight-ahead, longitudinal body axis and autonomy in patients with chronic right stroke lesion.

Methods and analysis

In this multicentre randomised double-blind sham-controlled trial, we will include 28 patients aged from 18 to 80 years, with a first right supratentorial stroke lesion at chronic stage (≥12 months) and having a bearing ≥60% of body weight on the right lower limb. Participants will be randomly assigned to the experimental group (performing pointing tasks while wearing glasses shifting optical axis of 10 degrees towards the right side) or to the control group (performing the same procedure while wearing neutral glasses without optical deviation). All participants will receive a 20 min daily session for 2 weeks in addition to conventional rehabilitation. The primary outcome will be the balance measured using the Berg Balance Scale. Secondary outcomes will include weight-bearing asymmetry and parameters of body sway during static posturographic assessments, as well as lateropulsion (measured using the Scale for Contraversive Pushing), subjective straight-ahead, longitudinal body axis and autonomy (measured using the Barthel Index).

Ethics and dissemination

The study has been approved by the ethical review board in France. Findings will be submitted to peer-reviewed journals relative to rehabilitation or stroke.

Trial registration number

NCT03154138.
Identifying priority medicines policy issues for Qatar: exploring perspectives and experiences of healthcare professionals through a qualitative study
Authors: Zia Nadeem , Ibrahim Mohamed Izham Mohamed , Adheir Fathea , Babar Zaheer-Ud-Din
Published: November 2021

Objectives

To identify priority medicines policy issues, including the ‘use’ and ‘access to medicines’ in Qatar.

Design

In this qualitative study, general inductive method was used and semi-structured exploratory interviews conducted.

Setting

Stakeholders from a broad range of academic and healthcare practitioners in Qatar.

Participants

Exploratory, semi-structured interviews were conducted with 21 stakeholders throughout Qatar. The inclusion criteria include (a) participants working or involved in the Qatar’s healthcare system, (b) participants having experience or working knowledge of medicine policy documents, different facets of it, use of medicines and access to medicines, (c) as well as participants well versed in the English language. It was intended to cover stakeholders from a broad range of healthcare and policy institutions in Qatar.

Primary and secondary outcome measures

All participants were involved in semi-structured, audio-recorded interviews, which were then transcribed verbatim, coded into NVivo V.12 and followed by thematic analysis to identify the common themes. Perceptions, experiences and opinions regarding Qatar’s medicines policy issues were recorded.

Results

This study found challenges related to the availability of pharmaceuticals in Qatar, including medicines registration process. There is no comprehensive national medicines policy in Qatar, however, there are a number of rules, regulations, policies and procedures in place. The community pharmacy services provided are mostly ‘traditional’ with less emphasis on pharmacists’ extended roles and/or cognitive services. The study identifies several areas for improvement including extending the role of the pharmacist, improve the prescribing of antibiotics, medicines compliance and counselling for consumers, pharmacovigilance, implementation of generic medicines policies, as well as the need for a national health record database.

Conclusions

The findings suggest that in the last 20 years, Qatar has moved towards advancing healthcare; however, there are gaps and opportunities. The strategies need to be developed to resolve access to medicines issues, the priority being medicines registration, import and so on. With the rise of chronic diseases and a growing population, there is also a need to work to improve medicines adherence among patients.

A national medicines policy should be developed through a consultative broad-based process in which prescribers, physicians, pharmacists and healthcare professionals be given a chance to contribute.
Randomised controlled trial targeting habit formation to improve medication adherence to daily oral medications in patients with gout
Authors: Fontanet Constance P , Choudhry Niteesh K , Wood Wendy , Robertson Ted , Haff Nancy , Oran Rebecca , Sears Ellen S , Kim Erin , Hanken Kaitlin , Barlev Renee A , Lauffenburger Julie C , Feldman Candace H
Published: November 2021

Introduction

Medication adherence for patients with chronic conditions such as gout, a debilitating form of arthritis that requires daily medication to prevent flares, is a costly problem. Existing interventions to improve medication adherence have only been moderately effective. Habit formation theory is a promising strategy to improve adherence. The cue-reward-repetition principle posits that habits are formed by repeatedly completing an activity after the same cue and having the action rewarded every time. Over time, cues become increasingly important whereas rewards become less salient because the action becomes automatic. Leveraging the cue-reward-repetition principle could improve adherence to daily gout medications.

Methods and analysis

This three-arm parallel randomised controlled trial tests an adaptive intervention that leverages the repetition cue-reward principle. The trial will began recruitment in August 2021 in Boston, Massachusetts, USA. Eligible patients are adults with gout who have been prescribed a daily oral medication for gout and whose most recent uric acid is above 6 mg/dL. Participants will be randomised to one of three arms and given electronic pill bottles. In the two intervention arms, participants will select a daily activity to link to their medication-taking (cue) and a charity to which money will be donated every time they take their medication (reward). Participants in Arm 1 will receive reminder texts about their cue and their charity reward amount will be US$0.50 per day of medication taken. Arm 2 will be adaptive; participants will receive a US$0.25 per adherent-day and no reminder texts. If their adherence is <75% 6 weeks postrandomisation, their reward will increase to US$0.50 per adherent-day and they will receive reminder texts. The primary outcome is adherence to gout medications over 18 weeks.

Ethics and dissemination

This trial has ethical approval in the USA. Results will be published in a publicly accessible peer-reviewed journal.

Trial registration number

NCT04776161
Vasohibin-1 expression as a biomarker of aggressive nature in ductal adenocarcinoma of the prostate: a retrospective cohort study at two centres in Japan
Authors: Kobayashi Hiroaki , Kosaka Takeo , Mikami Shuji , Kimura Tokuhiro , Hongo Hiroshi , Kosugi Michio , Sato Yasufumi , Oya Mototsugu
Published: November 2021

Objectives

Vasohibin-1 (VASH1) is an endogenous angiogenesis regulator expressed in activated vascular endothelial cells. We previously reported that high VASH1 expression is a predictor of progression in acinar adenocarcinoma of the prostate. In this study, we evaluated the characteristics of ductal adenocarcinoma of the prostate by comparing the level of VASH1 expression between ductal and acinar adenocarcinoma specimens.

Design and setting

A retrospective cohort study at two centres in Japan.

Participants

Among the 1495 patients who underwent radical prostatectomy or transurethral resection for the past 15 years, a total of 14 patients diagnosed with ductal adenocarcinoma and 20 patients diagnosed with acinar adenocarcinoma with a Gleason score of 4+4 were included.

Interventions

We immunohistochemically examined the CD34 expression as the microvessel density (MVD) and activated endothelial cells as the VASH1 density (vessels per mm2).

Primary and secondary outcome measures

The primary outcome was the association of MVD and VASH1 density between ductal and acinar adenocarcinoma, and the secondary outcome was their oncological outcomes.

Results

Nine patients (64.3%) with ductal adenocarcinoma were diagnosed at an advanced clinical stage, and five patients (35.7%) died from cancer during a median follow-up of 56.0 months. The VASH1 densities (mean±SD) in ductal and acinar adenocarcinoma were 45.1±18.5 vs 16.1±21.0 (p<0.001), respectively, while the MVD (mean±SD) in ductal and acinar adenocarcinoma were 65.3±21.9 vs 80.8±60.7 (p=0.666), respectively. The 5-year cancer-specific survival rates for high and low VASH1 expression were 70.0% and 100.0% (p=0.006), respectively. High VASH1 expression and a diagnosis of ductal adenocarcinoma were significant predictors of cancer-specific survival.

Conclusions

Ductal adenocarcinoma was more aggressive and had higher VASH1 expression than acinar adenocarcinoma, although MVD was equivalent. These results indicate that VASH1 expression may serve as a novel biomarker for the aggressive nature of ductal adenocarcinoma.
Refractory hyperactive delirium in the dying: pharmacological management
Authors: Tham Kathryn , Shiu Angela , William Leeroy , Walpole Grace , Rashed Saly
Published: November 2021

Background

Delirium is a prevalent clinical presentation in advanced illness. The hyperactive phase can cause severe symptoms at the end of life. There is no published study of the pharmacological management of this symptom in Australian palliative medicine practice.

Objectives

To describe the pharmacological management of hyperactive delirium at the end of life in an Australian inpatient palliative care setting.

Methods

Retrospective audit of deaths from October 2019 where a medication of interest (MOI) was used following admission to the palliative care unit (PCU) of Eastern Health. The clinical notes of those included were reviewed to further describe the clinical details surrounding the use of the MOI.

Results

Forty patients were included. Midazolam was the most common medication used (57.5%). The most common dual agent combination was midazolam plus levomepromazine.

Conclusions

This audit is the first description of pharmacological management of severe hyperactive delirium at the end of life requiring sedation in an Australian PCU.
Sensitivity of modern multislice CT for subarachnoid haemorrhage at incremental timepoints after headache onset: a 10-year analysis
Authors: Vincent Annabel , Pearson Scott , Pickering John W , Weaver James , Toney Leanne , Hamill Laura , Hurrell Michael , Than Martin
Published: November 2021

Background

CT performed within 6 hours of headache onset is highly sensitive for the detection of subarachnoid haemorrhage (SAH). Beyond this time frame, if the CT is negative for blood, a lumbar puncture is often performed. Technology improvements in image noise reduction, resolution and motion artefact have enhanced the performance of multislice CT (MSCT) and may have further improved sensitivity. We aimed to describe how the sensitivity to SAH of modern MSCT changes with time from headache onset.

Methods

This was a retrospective analysis of electronic data collected as part of routine care among all patients presenting to Christchurch Hospital diagnosed with a SAH between 1 January 2008 and 31 December 2017. Patients were imaged with MSCT. The primary outcome was the proportion of patients with spontaneous aneurysmal SAH (identified via coding and confirmed by clinical and radiological records) that had a positive MSCT. The secondary outcome was the proportion of patients with any type of spontaneous SAH that had a positive MSCT.

Results

There were 347 patients with an SAH of whom 260 were aneurysmal SAH. MSCT identified 253 (97.3%) of all aneurysmal SAH and 332 (95.7%) of all SAH. The sensitivity of MSCT was 99.6% (95% CI 97.6 to 100) for aneurysmal SAH and 99.0% (95% CI 97.1 to 99.8) for all SAH at 48 hours after headache onset. At 24 hours after headache onset, the sensitivity for aneurysmal SAH was 100% (95% CI 98.3 to 100).

Conclusion

These data suggest that it may be possible to extend the timeframe from headache onset within which modern MSCT can be used to rule out aneurysmal SAH.
Validation of a machine learning approach to estimate Clinical Disease Activity Index Scores for rheumatoid arthritis
Authors: Spencer Alison K. , Bandaria Jigar , Leavy Michelle B. , Gliklich Benjamin , Su Zhaohui , Curhan Gary , Boussios Costas
Published: November 2021

Objective

Disease activity measures, such as the Clinical Disease Activity Index (CDAI), are important tools for informing treatment decisions and monitoring patient outcomes in rheumatoid arthritis (RA). Yet, documentation of CDAI scores in electronic medical records and other real-world data sources is inconsistent, making it challenging to use these data for research. The purpose of this study was to validate a machine learning model to estimate CDAI scores for patients with RA using clinical notes.

Methods

A machine learning model was developed to estimate CDAI score values using clinical notes from a specific rheumatology visit. Data from the OM1 RA Registry were used to create a training cohort of 56 177 encounters and a separate validation cohort of 18 726 encounters, 11 985 of which passed a model-derived confidence filter; all included encounters had both a clinician-recorded CDAI score and a clinical note. Model performance was assessed using the area under the receiver operating characteristic curve (AUC), positive predictive value (PPV) and negative predictive value (NPV), calculated using a binarised version of the outcome. The Spearman’s R and Pearson’s R values were also calculated.

Results

The model had a PPV of 0.80, NPV of 0.84 and AUC of 0.88 when evaluating performance using the binarised version of the outcome. The model had a Spearman’s R value of 0.72 and a Pearson’s R value of 0.69 when evaluating performance using the continuous CDAI numeric scores.

Conclusion

A machine learning model estimates CDAI scores from clinical notes with good performance. Application of the model to real-world data sets may allow estimated CDAI scores to be used for research purposes.
Lactide polymerization using a sterically encumbered, flexible zinc complex
Authors: Dordahan Fatemeh , Schaper Frank
Published: November 2021

4-(tert-Butyl)-2-trityl-6-(di-(2-picolyl)amine)phenol, LH, was prepared from paraformaldehyde, 4-(tert-butyl)-2-tritylphenol, and di-(2-picolyl)amine. Reaction with Zn(N(SiMe3)2)2 gave LZnN(SiMe3)2. The complex was shown by X-ray diffraction study, variable temperature NMR, and DFT calculations to coordinate only one pyridine ligand, which allows for fast and facile complex isomerisation. LZnN(SiMe3)2 was active in rac-lactide polymerization, but in contrast to previous complexes of this type, it did not show any evidence for isotactic monomer enchainment via a catalytic-site mediated chain-end control mechanism. Addition of alcohol led to increased activity, but the complex was unstable in the presence of free alcohol.
Improvements in the airtightness of housing in Richmond, British Columbia
Authors: Foroushani Sepehr
Published: November 2021

Controlling air leakage through the building envelope remains a challenge, especially in light of the imperative to transition to a net-zero energy building sector and the increasing importance of indoor air quality during extreme weather events such as wildfires. The British Columbia Energy Step Code is a performance-based compliance option in the British Columbia Building Code which is intended to provide a transition pathway to net-zero energy ready construction by 2032. For small residential buildings, performance targets entail thresholds for the measured air leakage rate through the building envelope. This paper reports on the airtightness of the first 145 single- and two-family dwellings built under the Energy Step Code in Richmond, BC. Although the first phase of the implementation of the Energy Step Code in Richmond entailed no airtightness targets (only testing), results indicate improvement compared to the historical levels of airtightness in the region.
Analytical external spherical solutions in entangled relativity
Authors: Arruga Denis , Minazzoli Olivier
Published: November 2021

In this manuscript, we present analytical external spherical solutions of entangled relativity, which we compare to numerical solutions obtained in a Tolman–Oppenheimer–Volkoff framework. Analytical and numerical solutions match perfectly well outside spherical compact objects, therefore validating both types of solutions at the same time. The analytical external (hairy) solutions – which depend on two parameters only – may be used in order to easily compute observables – such as X-ray pulse profiles – without having to rely on an unknown equation of state for matter inside the compact object.
Measuring muon tracks in Baikal-GVD using a fast reconstruction algorithm
Authors: Allakhverdyan V. A. , Avrorin A. D. , Avrorin A. V. , Aynutdinov V. M. , Bannasch R. , Bardačová Z. , Belolaptikov I. A. , Borina I. V. , Brudanin V. B. , Budnev N. M. , Dik V. Y. , Domogatsky G. V. , Doroshenko A. A. , Dvornický R. , Dyachok A. N. , Dzhilkibaev Zh.-A. M. , Eckerová E. , Elzhov T. V. , Fajt L. , Fialkovski S. V. , Gafarov A. R. , Golubkov K. V. , Gorshkov N. S. , Gress T. I. , Katulin M. S. , Kebkal K. G. , Kebkal O. G. , Khramov E. V. , Kolbin M. M. , Konischev K. V. , Kopański K. A. , Korobchenko A. V. , Koshechkin A. P. , Kozhin V. A. , Kruglov M. V. , Kryukov M. K. , Kulepov V. F. , Malecki Pa. , Malyshkin Y. M. , Milenin M. B. , Mirgazov R. R. , Naumov D. V. , Nazari V. , Noga W. , Petukhov D. P. , Pliskovsky E. N. , Rozanov M. I. , Rushay V. D. , Ryabov E. V. , Safronov G. B. , Shaybonov B. A. , Shelepov M. D. , Šimkovic F. , Sirenko A. E. , Skurikhin A. V. , Solovjev A. G. , Sorokovikov M. N. , Štekl I. , Stromakov A. P. , Sushenok E. O. , Suvorova O. V. , Tabolenko V. A. , Tarashansky B. A. , Yablokova Y. V. , Yakovlev S. A. , Zaborov D. N.
Published: November 2021

The Baikal Gigaton Volume Detector (Baikal-GVD) is a km$$^3$$

3

-scale neutrino detector currently under construction in Lake Baikal, Russia. The detector consists of several thousand optical sensors arranged on vertical strings, with 36 sensors per string. The strings are grouped into clusters of 8 strings each. Each cluster can operate as a stand-alone neutrino detector. The detector layout is optimized for the measurement of astrophysical neutrinos with energies of $$\sim $$
∼
100 TeV and above. Events resulting from charged current interactions of muon (anti-)neutrinos will have a track-like topology in Baikal-GVD. A fast $$\chi ^2$$

χ
2

-based reconstruction algorithm has been developed to reconstruct such track-like events. The algorithm has been applied to data collected in 2019 from the first five operational clusters of Baikal-GVD, resulting in observations of both downgoing atmospheric muons and upgoing atmospheric neutrinos. This serves as an important milestone towards experimental validation of the Baikal-GVD design. The analysis is limited to single-cluster data, favoring nearly-vertical tracks.
Tunneling of hawking radiation for BTZ black hole revisited
Authors: Bagchi Bijan , Sen Sauvik
Published: November 2021

We re-examine Hawking radiation for a nonrotating [Formula: see text]-dimensional Bañados–Teitelboim–Zanelli (BTZ) black hole and evaluate the transmission probability of tunneling through the barrier of the event horizon employing the standard method of WKB approximation. Our results are presented for both uncharged and charged cases. We also explore the associated thermodynamics in terms of Hawking temperature and provide estimates of black hole parameters like the surface gravity and entropy.
THE IMPACT OF DELAY STRATEGIES ON THE DYNAMICS OF CORONAVIRUS PANDEMIC MODEL WITH NONLINEAR INCIDENCE RATE
Authors: RAZA ALI , AHMADIAN ALI , RAFIQ MUHAMMAD , ANG MEI CHOO , SALAHSHOUR SOHEIL , PAKDAMAN MORTEZA
Published: November 2021

Currently, the world is facing a devastating pandemic of a novel coronavirus, which started as an outbreak of pneumonia of unknown cause in Wuhan city of China in December of 2019. According to the recent report of the World Health Organization (WHO), 210 countries convicted badly 1.8 million infections and almost 200,000 causalities. Due to the non-availability of the vaccination, delay strategies such as community distancing, travel restrictions, extension in breaks, use of face-mask, and self-quarantine are the effective treatments to control the pandemic of coronavirus. So, we proposed the delayed susceptible-exposed-infected-recovered model with a nonlinear incidence rate to study the effective role of control strategies. For this analysis, we discussed three types of equilibria of the model such as trivial, coronavirus free, and coronavirus existence with delay terms. The local and global stabilities are investigated by using well-posed notations like the Lasalle invariance principle, Routh–Hurwitz criterion, and Lyapunov function. In the end, some useful replications are presented.
Combination of tetrapyridylporphyrins and arene ruthenium(II) complexes to treat synovial sarcoma by photodynamic therapy
Authors: Gallardo-Villagrán Manuel , Paulus Lucie , Champavier Yves , Leger David Yannick , Therrien Bruno , Liagre Bertrand
Published: November 2021

Four tetrapyridylporphyrin and four dipyridylporphyrin arene ruthenium complexes have been synthesized and characterized. In these complexes, the porphyrin core is either metal-free or occupied by zinc, and the arene ligand of the arene ruthenium units are either the standard methyl-isopropyl-benzene ([Formula: see text]cymene) or the less common phenylpropanol (PhPrOH) derivative. The porphyrin derivatives are coordinated to four arene ruthenium units or only two, in accordance with the number of pyridyl substituents at the periphery of the porphyrins, 5,10,15,20-tetra(4-pyridyl)-21H,23H-porphine (TPyP) and 5,15-diphenyl-10,20-di(pyridin-4-yl)porphyrin (DPhDPyP). All eight complexes were evaluated as anticancer agents on synovial sarcoma cells, in the presence and absence of light, suggesting that both the arene ligand and the porphyrin core substituent can play a crucial role in fine-tuning the photodynamic activity of such organometallic photosensitizers.
KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines
Authors: Koutroulis Georgios , Botler Leo , Mutlu Belgin , Diwold Konrad , Römer Kay , Kern Roman
Published: November 2021

Recovering causality from copious time series data beyond mere correlations has been an important contributing factor in numerous scientific fields. Most existing works assume linearity in the data that may not comply with many real-world scenarios. Moreover, it is usually not sufficient to solely infer the causal relationships. Identifying the correct time delay of cause-effect is extremely vital for further insight and effective policies in inter-disciplinary domains. To bridge this gap, we propose KOMPOS, a novel algorithmic framework that combines a powerful concept from causal discovery of additive noise models with graphical ones. We primarily build our structural causal model from multivariate adaptive regression splines with inherent additive local nonlinearities, which render the underlying causal structure more easily identifiable. In contrast to other methods, our approach is not restricted to Gaussian or non-Gaussian noise due to the non-parametric attribute of the regression method. We conduct extensive experiments on both synthetic and real-world datasets, demonstrating the superiority of the proposed algorithm over existing causal discovery methods, especially for the challenging cases of autocorrelated and non-stationary time series.
Creativity and common sense in writing and speaking
Authors: Yaffe Philip
Published: November 2021

Each "Communication Corner" essay is self-contained; however, they build on each other. For best results, before reading this essay and doing the exercise, go to the first essay "How an Ugly Duckling Became a Swan," then read each succeeding essay.

A previous essay ("What Advertising Can Teach Us About Effective Writing and Speaking") posited what at first glance may have seemed to be a radical idea. And that is: However superficially it may appear, print advertising copy (text), which is designed to sell things, represents some of the best, most carefully constructed writing you will ever see. It must be, because to achieve its objective, advertising copy must say a world of things to the potential consumer in just a thimbleful of words. With this fundamental idea as a foundation, we can now explore this fruitful subject more deeply.
Protonic Ceramic Fuel Cell with Bi-Layered Structure of BaZr0.1Ce0.7Y0.1Yb0.1O3–δ
Functional Interlayer and BaZr0.8Yb0.2O3–δ
Electrolyte
Authors: Shimada Hiroyuki , Yamaguchi Yuki , Ryuma Matsuda Malik , Sumi Hirofumi , Nomura Katsuhiro , Shin Woosuck , Mikami Yuichi , Yamauchi Kosuke , Nakata Yuki , Kuroha Tomohiro , Mori Masashi , Mizutani Yasunobu
Published: November 2021

Widespread application of PCFCs will require higher performance even at lower temperatures (<600 °C). This paper reports development of a protonic ceramic fuel cell (PCFC) with a bi-layered proton-conducting phase structure consisting of a BaZr0.1Ce0.7Y0.1Yb0.1O3–δ
(BZCYYb1711) functional interlayer and a BaZr0.8Yb0.2O3−δ
(BZYb20) electrolyte. In this PCFC, a zirconate-based oxide with high durability against CO2, BZYb20, is selected as the electrolyte material, and a BZCYYb1711 functional interlayer is applied between the dense BZYb20 electrolyte and a cathode to achieve higher power density and higher open-circuit voltage (OCV) of the PCFC. In cell fabrication via conventional wet process and co-sintering, although Ni diffusion occurs from NiO-BZYb20 anode into the approximately 8-μm-thick BZYb20 electrolyte, almost no Ni diffuses into the BZCYYb1711 functional interlayer. Compared to a PCFC without this functional interlayer, the proposed PCFC exhibits higher electrochemical performance. Results showed that the BZCYYb1711 functional interlayer reduces cathode polarization resistance and increase power density of the PCFC. Moreover, the OCV increases because the BZCYYb1711 functional interlayer suppresses the current leakage caused by hole conduction of the BZYb20 electrolyte. In conclusion, this bi-layered structure effectively improves both the power density and OCV of PCFCs.
Noise Data Removal and Image Restoration Based on Partial Differential Equation in Sports Image Recognition Technology
Authors: Junmei Shi
Published: November 2021

With the rapid development of image processing technology, the application range of image recognition technology is becoming more and more extensive. Processing, analyzing, and repairing graphics and images through computer and big data technology are the main methods to obtain image data and repair image data in complex environment. Facing the low quality of image information in the process of sports, this paper proposes to remove the noise data and repair the image based on the partial differential equation system in image recognition technology. Firstly, image recognition technology is used to track and obtain the image information in the process of sports, and the fourth-order partial differential equation is used to optimize and process the image. Finally, aiming at the problem of low image quality and blur in the transmission process, denoising is carried out, and image restoration is studied by using the adaptive diffusion function in partial differential equation. The results show that the research content of this paper greatly improves the problems of blurred image and poor quality in the process of sports and realizes the function of automatically tracking the target of sports image. In the image restoration link, it can achieve the standard repair effect and reduce the repair time. The research content of this paper is effective and applicable to image processing and restoration.
Review on Reactive Power and Voltage Optimization of Active Distribution Network with Renewable Distributed Generation and Time-Varying Loads
Authors: Li Xingmin , Li Hongwei , Li Shuaibing , Jiang Ziwei , Ma Xiping
Published: November 2021

With a high proportion of renewable distributed generation and time-varying load connected to the distribution network, great challenges have appeared in the reactive power optimization control of the active distribution networks. This paper first introduces the characteristics of active distribution networks, the mechanism and research status of wind power, photovoltaic, and other renewable distributed generators, and time-varying loads participating in reactive power and voltage optimization. Then, the paper summarizes the methods of reactive power optimization and voltage regulation of active distribution network, including multi-timescale voltage optimization, coordinated optimization of network reconfiguration and reactive power optimization, coordinated optimization of active and reactive power optimization based on model predictive control, hierarchical and zoning control of reactive power, and voltage and power electronic switch voltage regulation. The pros and cons of the reactive power optimization algorithms mentioned above are summarized. Finally, combined with the development trend of the energy Internet, the future directions of reactive power and voltage control technology in the active distribution network are discussed.
Analysis of the Practice Path of the Flipped Classroom Model Assisted by Big Data in English Teaching
Authors: Du Zhan , Su Jie
Published: November 2021

This paper makes a detailed analysis of the integrated mining algorithm, analyzes the characteristics of curriculum big data, and analyzes the existing problems of the current association rule mining algorithm, as well as the defects and deficiencies when applied to the curriculum data. Aiming at the problem of mining the entire data set by the mining algorithm, this topic proposes the idea of using the K-means algorithm for clustering processing and uses the Ball-tree structure on the basis of the original K-means algorithm to improve the efficiency of the algorithm. The data set is separated into several clusters of an appropriate number. In the flipped classroom, the basic knowledge is put before the class for learning, and the further deepening and practical application of language knowledge is completed in the class. Teachers can give timely guidance when encountering unsolvable difficulties so that students’ learning can be more effective. This new teaching model not only strengthens students’ confidence in learning and increases their interest in learning, but also increases the opportunities for students to interact with teachers and classmates in the classroom, allowing them to construct the meaning of knowledge in the fun of interactive communication. The classroom has become relaxed, lively, and attractive, and students’ sense of autonomy, self-learning ability, and collaborative inquiry ability have also been unknowingly improved. Among the main factors, the willingness to flip, emotional state, leadership role, and online learning input have a significant positive impact on collaborative learning performance, and the sense of competition has a partial negative impact on collaborative learning performance, of which positively affecting individual knowledge mastery. Among the nonmain factors, the degree of difficulty of the course, teacher-student interaction, teacher motivation, and evaluation mechanism have a significant positive impact on collaborative learning performance. Classroom assistive technology has a partial negative impact on collaborative learning performance. From the perspective of group performance, group-level performance considerations such as the quality of group conversations and the degree of group knowledge sharing in collaborative learning performance are more affected by nonsubject factors.
Partial Slip Impact on Double Diffusive Convection Flow of Magneto-Carreau Nanofluid through Inclined Peristaltic Asymmetric Channel
Authors: Akram Safia , Athar Maria , Saeed Khalid , Muhammad Taseer , Umair Mir Yasir
Published: November 2021

The significance of partial slip on double diffusive convection on magneto-Carreau nanofluid through inclined peristaltic asymmetric channel is examined in this paper. The two-dimensional and directional flow of a magneto-Carreau nanofluid is mathematically described in detail. Under the lubrication technique, the proposed model is simplified. The solutions of extremely nonlinear partial differential equations are calculated using a numerical technique. Graphical data are displayed using Mathematica software and Matlab to examine how temperature, pressure rise, concentration, pressure gradient, velocity profile, nanoparticle volume fraction, and stream functions behave on emerging parameters. It is noticed that as the velocity slip parameter is increased, the axial velocity at the channel’s center increases. Additionally, near the boundary, opposite behavior is observed. The temperature, concentration, and nanoparticle profile drops by increasing thermal slip, concentration slip, and nanoparticle slip parameter.
Impacts of Emission Reduction Technological Changes on China’s City-Level PM2.5 Concentration Based on Sustainable Development
Authors: Chen Jiandong , Wei Yu , Gao Ming , Huang Shuo
Published: November 2021

As an important field for human activities, cities play a critical role in PM2.5 reductions. Among the determinants for PM2.5 concentration, technological progress is considered to exhibit significant inhibitory effects. Although most extant research has focused on energy technologies or total factor productivity, due to limitations in data and methods, few scholars have focused on emission reduction technological changes at a city-level scale. Therefore, based on the combination of k-means clustering and the log-mean Divisia index method, this study estimates and explores the impact of PM2.5 emission reduction technology (PME) on the temporal changes and spatial differences of 262 Chinese cities’ PM2.5 concentration during 2003–2017. The findings show the following: (1) although the results based on econometric methods indicate that emission reduction technological changes decreased China’s city-level PM2.5 concentration, there were turning points in the yearly impacts, indicating that the improvements to emission reduction efficiency were not stable; (2) compared with PME, energy intensity played a more stable role in PM2.5 emissions reductions, implying that the improvement of energy efficiency was still very important in controlling PM2.5 concentrations; (3) based on the classified groups after clustering, most cities’ PME contributed to negative differences, but the PME of a small number of cities was very weak to largely lower the average level of their group; and (4) distributions of the spatial decomposition of the three classified groups were stable in the period of 2003–2017, implying that the catch-up and transcendence effects of PME within the group were limited. Thus, policymakers should focus on the impact of different policies on PME differences between cities.
Evaluation of Curved Canal Transportation Using the Neoniti Rotary System with Reciprocal Motion: A Comparative Study
Authors: Aminsobhani Mohsen , Avval Arvin Rezaei , Hamidzadeh Fatemeh
Published: November 2021

The ideal root canal preparation is where the original canal morphology is maintained during the biomechanical preparation. Preparation of curved canals has always been a challenge to clinicians. Better results have been suggested for a single NiTi instrument with reciprocating motion than the conventional continuous rotation method in the preparation of curved root canals. Although the Neoniti rotary system is not suggested to be used with reciprocal motion, running a pilot study, we found that it could be possible. The present study aimed to investigate if shaping curved canals using the Neoniti rotary system with reciprocal motion leads to better results in terms of root canal transportation. One hundred acrylic j-shape canal simulator endoblocks were used in this study. Five preparation sequences were applied: GPS followed by A1#20 (GPS + A1#20), GPS followed by A1#20 and then A1#25 (GPS + A1#20 + A1#25), GPS followed by A1#25 (GPS + A1#25), hand file followed by A1#20 (hand file + A1#20), and GPS followed by A1#20 (with reciprocal motion) (GPS + A1#20(reciprocal)). Pictures were taken from blocks once before and once after preparation from two dimensions. Before-and-after pictures were superimposed in Photoshop software. Measurements were performed in Digimizer. The number of autoreverses and pecking motions was recorded after reviewing the recorded videos. Data were analyzed in SPSS, version 26. Apvalue of less than 0.05 was considered statistically significant. The group GPS + A1#20 + A1#25 had more transportation compared with the others, at apical, middle, and coronal thirds not only in the frontal view but also in the lateral view. Other groups were not significantly different. The number of peckings and autoreverses was significantly less when A1#25 was used after GPS and A1#20. When A1#20 was used with reciprocal motion, it had less peckings compared with the same file with continuous rotation, and no autoreverses were observed in that group. Using Neoniti files with reciprocal motion might result in less instrument fatigue and favorable results, with respect to canal anatomy preservation. Using A1#20 before A1#25 also will decrease the stress on the instrument during preparation. However, this may lead to significantly more canal transportation.
The Design of Mathematics Teaching Optimization Scheme Based on Data-Driven Decision-Making Technology
Authors: Lv Zongming
Published: November 2021

In order to improve the effect of classroom teaching and realize the improvement of mathematics teaching quality, this article combines data-driven decision-making technology to design a mathematics teaching plan system and applies data-driven decision-making technology to the design of mathematics teaching plan by improving the big data algorithm. In addition, this paper designs a mathematics teaching plan design system based on data-driven decision-making technology. The system learning module displays the knowledge points in a chapter-sequential navigation mode and stores data or information in the nodes, which are connected to form a network structure through chains. Finally, this paper verifies the designed system with experiments. From the results of the experimental research data, it can be seen that the mathematical teaching plan design system based on the data-driven decision-making technology constructed in this article has good practical effects. On this basis, the system constructed in this article can be verified through further practice.
Role Perception of Occupational Therapists in Education Systems: Self-Efficacy and Employability Skills
Authors: Fogel Yael , Lamash Liron
Published: November 2021

Although the main framework for occupational therapy includes delivery of services in educational institutions with students with disabilities, little is known about how the occupational therapists perceive their role in this specific system. This research examines an integrated conceptual model wherein self-efficacy explains the occupational therapists’ role perception with employability skills as a mediator. Participants, 147 occupational therapists working in educational systems, completed an online demographic questionnaire, the Perception Questionnaire for Occupational Therapists in the Education System, General Self-Efficacy Questionnaire, and Employability Key Questionnaire. The proposed model was analyzed by the structural equation model (SEM) using AMOS software. The SEM provided excellent goodness of fit indices,

χ

2

24

=
40.49

;

p
=
.019

;

NFI
=
.93

;

CFI
=
.97

;

RMSEA
=
.07

;

SRMR
=
.05

, and explained 40% of the variance in role perception. These findings highlight employability skills as the primary contributor that affects occupational therapists’ role perception. Self-efficacy and employment skills influence how occupational therapists working in education systems perceive their roles; thus, employment skills should be included in professional training and development courses. This study has implications for occupational therapists working on the education system to understand the meaningful effects of employability skills as critical to developing and improving their role perception.
Investigation on the Operation Status of Community-Based Rehabilitation Station in a District of Chongqing
Authors: Shang Jingxuan
Published: November 2021

Objective. Investigate and analyze the current operation status of the community-based rehabilitation station in a district of Chongqing to provide some reference schemes for improving the construction of the community-based rehabilitation system for Chongqing. Methods. Self-designed questionnaires were issued to 36 community-based rehabilitation stations in a district of Chongqing to investigate the human resources status, service projects, service methods, and other aspects of the community-based rehabilitation stations. Results. The community-based rehabilitation station lacks the participation of medical rehabilitation personnel, and only 33.3% of the community-based rehabilitation stations are composed of multidisciplinary human resources of medical and community staff. Community-based rehabilitation services focus on supply education and publicity (86.11%), and rehabilitation treatment services are not fully involved in the community-based rehabilitation service (44.44%). The methods of community-based rehabilitation services are mainly posters and other publicity activities (94.44%), and the community-based rehabilitation service methods are not highly goal-oriented. Conclusion. The survey found some problems to be improved in the construction and operation of grass-roots community-based rehabilitation stations in Chongqing. Community-based rehabilitation stations should enrich the human resources and technology of medical rehabilitation, become an extension of the restoration of community health institutions, and promote the high-quality development of community-based rehabilitation.
Enterprise Credit Risk Management Using Multicriteria Decision-Making
Authors: Liu Wenjuan
Published: November 2021

The purpose of this study is to reduce the rate of multicriteria decision-making (MCDA) errors in credit risk management and to weaken the influence of different attitudes of enterprise managers on the final decision when facing credit risk. First, several solutions that are suitable for present enterprise credit risk management are proposed according to the research of enterprise risk management in the world. Moreover, the criteria and matrix are established according to the general practice of the expert method. A decision-making method of enterprise credit risk management with trapezoidal fuzzy number as the criteria of credit risk management is proposed based on the prospect theory; then, the weight is calculated based on G1 weight calculation, G2 weight calculation method, and the method of maximizing deviation; finally, the prospect values of the alternatives calculated by each method are adopted to sort and compare the proposed solutions. Considering the difference of risk degree of managers in the face of credit risk management, the ranking results of enterprise credit risk management solutions based on three weight calculation methods are compared. The results show that as long as the quantitative value of the risk attitude of the enterprise credit risk manager meets a certain range, the final choice of credit risk management scheme ranking is consistent. This exploration provides a new research direction for enterprise credit risk management, which has reference significance.
Evolution of the Oil Shale Permeability under Real-Time High-Temperature Triaxial Stress in the Jimusar Area, Xinjiang
Authors: Yang Lusheng , Li Peng
Published: November 2021

This paper adopts a real-time high-temperature triaxial seepage test system to study the permeability evolution of oil shale in the Jimusar area, Xinjiang, with the temperature, pore pressure, and volumetric stress. The results indicate that (1) the variation process of the oil shale permeability with the temperature can be divided into three stages: slow growth stage from 20 to 350°C, rapid growth stage from 350 to 500°C with a threshold temperature of 400°C, and growth deceleration stage from 500 to 600°C. (2) With increasing pore pressure, the permeability gradually decreases. Under a volumetric stress of 17 MPa, the permeability decreases the most rapidly from 1 to 2 MPa, and under a volumetric stress of 34 MPa, the permeability decreases the fastest from 1 to 3 MPa. (3) The oil shale permeability decreases with increasing volumetric stress. At room temperature, the decrease magnitude of the permeability is small and increases with increasing temperature. The results can provide a theoretical reference for the analysis of the seepage process of thermal fluids and pyrolysis oil and gas in oil shale.
Research on the Impact of Innovative City Construction on Financial Development: Evidence from China
Authors: Zhao Zhaoyang , Zheng Yanhong , Chen Yuhong , Ye Chong , He Zeyu
Published: November 2021

Science and technology innovation is the new driving force of urban development, and it is an important vehicle to promote financial development. Innovative city attaches importance to the driving role of science and technology innovation capacity on industry development in the construction process, which will drive the development of the city’s financial industry. This article takes China’s innovative city pilot policy as a quasinatural experiment and uses the panel data of 235 prefecture-level cities in China from 2005 to 2017 to construct a difference-in-differences model (DID) to investigate the net effect and mechanism of the policy implementation on the financial development level of pilot cities. The results show the following: (1) the construction of innovative cities has significantly improved the financial development level of pilot cities, and the conclusion is still valid through the robustness test; (2) the financial development level promotion effect of innovative city construction has regional heterogeneity, and the financial development level promotion effect of central cities is more significant; (3) the construction of innovative cities can improve the financial development level of pilot cities by improving the intermediary effect of scientific and technological talents gathering and industrial structure upgrading.