bluuebunny/crossref_metadata_2025 huggingface dataset:
Probing dissolved CO
2
(aq) in aqueous solutions for CO
2
electroreduction and storage
Authors: Li Jiachen , Guo Jinyu , Dai Hongjie
Published: May 2022

CO
2
dissolved in aqueous solutions CO
2
(aq) is important to CO
2
capture, storage, photo-/electroreduction in the fight against global warming and to CO
2
analysis in drinks. Here, we developed microscale infrared (IR) spectroscopy for in situ dynamic quantitating CO
2
(aq). The quantized CO
2
(g) rotational state transitions were observed to quench for CO
2
(aq), accompanied by increased H
2
O IR absorption. An accurate CO
2
molar extinction coefficient ε was derived for in situ CO
2
(aq) quantification up to 58 atm. We directly measured CO
2
(aq) concentrations in electrolytes under CO
2
(g) bubbling and high-pressure conditions with high spectral and time resolutions. In KHCO
3
electrolytes with CO
2
(aq) > ~1 M, CO
2
electroreduction (CO
2
RR) to formate reached >98% Faradaic efficiencies on copper (Cu
2
O/Cu)–based electrocatalyst. Furthermore, CO
2
dissolution/desolvation kinetics showed large hysteresis and ultraslow reversal of CO
2
(aq) supersaturation in aqueous systems, with implications to CO
2
capture, storage, and supersaturation phenomena in natural water bodies.
Supplemental Material: A newly defined, long-lived Paleozoic intra-oceanic arc in the South Tianshan (NW China): Implications for multiple accretionary tectonics in the southern Altaids
Authors: Gao Limin , Xiao W.J. , al. et
Published: May 2022

Table S1: LA-ICP-MS zircon U-Pb age of the Akeyazi HABs, calc-alkaline granitoids, and Akeyazi sandstones. Table S2: SIMS zircon U-Pb isotopic data of the Akeyazi HABs and calc-alkaline granitoids. Table S3: Bulk rock geochemistry, Sr-Nd isotopic data, zircon U-Pb age and zircon Hf isotope of regional intermediate-basic rocks. Table S4: Compilation of detrital zircon U-Pb ages from the (meta-) sedimentary rocks from Yili Basin, Central Tianshan Block, South Tianshan Accretionary Complex and the northern Tarim Craton. 
Opt-out universal HCV and HIV screening in a Canadian emergency room: a
cross-sectional study
Authors: Martel-Laferriere Valerie , Baril Jean-Guy , Alarie Isabelle , Leblanc Judith , Côté José , Jourdenais Emmanuelle , Horth Damy , Lambert Gilles , Tremblay Cécile
Published: May 2022

Objectives

To determine the prevalence of undiagnosed hepatitis C virus (HCV)
and HIV cases in a population sample tested in the emergency room (ER)
and to evaluate linkage-to-care.

Setting

Canadian university hospital.

Participants

Adults born after 1945 who consulted at ER for any condition and on
any shift were included. Patients unable to opt-out were
excluded.

Interventions

ER nurse confirmed patients’ eligibility and provided them with the
option to opt-out. A physician met patients with a new diagnosis.
Linkage-to-care was assessed 3 months postdiagnosis. Patients newly
diagnosed with HCV were considered linked if they had an HCV RNA test,
genotype, liver fibrosis evaluation, and if indicated, treatment
prescription. Patients newly diagnosed with HIV were considered linked
to care if they had an HIV serology confirmation test, viral load, CD4
cell count and started antiretroviral therapy.

Primary and secondary outcome measures

Primary objective: to determine the prevalence (overall and
undiagnosed cases) of HIV and HCV among the patients who consult the ER.
Secondary objectives: to determine the proportion of patients who
opt-out, assess the adherence of emergency staff to the offer of
testing, determine the proportion of patients linked to care at 3
months.

Results

Among 6350 eligible patients informed of the screening programme,
62.1% of patients were tested for at least one virus (HIV: 3905; HCV:
3910). 25% patients opted-out, 12% were not tested for organisational
reasons, 0.3% (18) patients were HCV-HIV coinfected. Overall prevalence
of HCV and HIV cases were 1.9% and 1.2%, respectively. Prevalence of new
cases was 0.23% (95% CI 0.12% 0.45%) for HCV and 0.05% (95% CI 0.01% to
0.20%) for HIV. Among the new cases, only two HCV-infected and one
HIV-infected patients were linked-to-care 3 months
postdiagnosis.

Conclusions

Identification of new cases of HCV and HIV through universal
screening at the ER and linkage-to-care were both low.

Trial registration number

NCT03595527; Results.
Impedance-based sensors discriminate among different types of blood thrombi with very high specificity and sensitivity
Authors: Messina Pierluca , Garcia Cédric , Rambeau Joachim , Darcourt Jean , Balland Ronan , Carreel Bruno , Cottance Myline , Gusarova Elena , Lafaurie-Janvore Julie , Lebedev Gor , Bozsak Franz , Barakat Abdul I , Payrastre Bernard , Cognard Christophe
Published: May 2022

Background

Intracranial occlusion recanalization fails in 20% of endovascular thrombectomy procedures, and thrombus composition is likely to be an important factor. In this study, we demonstrate that the combination of electrical impedance spectroscopy (EIS) and machine learning constitutes a novel and highly accurate method for the identification of different human thrombus types.

Methods

134 samples, subdivided into four categories, were analyzed by EIS: 29 ‘White’, 26 ‘Mixed’, 12 ‘Red’ thrombi, and 67 liquid ‘Blood’ samples. Thrombi were generated in vitro using citrated human blood from five healthy volunteers. Histological analysis was performed to validate the thrombus categorization based on red blood cell content. A machine learning prediction model was trained on impedance data to differentiate blood samples from any type of thrombus and in between the four sample categories.

Results

Histological analysis confirmed the similarity between the composition of in vitro generated thrombi and retrieved human thrombi. The prediction model yielded a sensitivity/specificity of 90%/99% for distinguishing blood samples from thrombi and a global accuracy of 88% for differentiating among the four sample categories.

Conclusions

Combining EIS measurements with machine learning provides a highly effective approach for discriminating among different thrombus types and liquid blood. These findings raise the possibility of developing a probe-like device (eg, a neurovascular guidewire) integrating an impedance-based sensor. This sensor, placed in the distal part of the smart device, would allow the characterization of the probed thrombus on contact. The information could help physicians identify optimal thrombectomy strategies to improve outcomes for stroke patients.
Transvenous Onyx embolization of a recurrent dural arteriovenous fistula through the deep venous system
Authors: Colasurdo Marco , Srinivasan Visish M , Shaltoni Hashem , Kan Peter
Published: May 2022

Transarterial and, to a lesser extent, transvenous embolizations are commonly used in the treatment of cerebral dural arteriovenous fistulas (dAVFs).1 When the feeding artery is small and tortuous, leading to difficult or impossible safe navigation and effective embolization, transvenous embolization may be a safe alternative.2 3 The efficacy of transvenous strategies relies on successful navigation of the draining vein up to the arterial–venous connection of the fistula (‘foot of the vein’). This strategy has been shown to be an effective way of treating otherwise inaccessible dAVFs with low morbidity and improved occlusion rates.4 We present the transvenous coil and Onyx (Medtronic, Minnesota, USA) embolization technique for a previously treated and recurrent dAVF involving tentorial feeders from the inferolateral trunk (video 1). It is a unique case in which counterflow navigation into the draining vein was achieved through the deep venous system via the right basal vein of Rosenthal, with the use of balloon intermittent flow arrest.

Video 1
Diagnostic performance of silent magnetic resonance angiography for endovascularly-treated intracranial aneurysm follow-up: a prospective study
Authors: Tan Song , Lu Yuzhao , Li Bin , Yang Qi , Zhou Xiaobing , Wang Yang
Published: May 2022

Background

Multiple studies have reported the clinical usefulness of silent magnetic resonance angiography (MRA) in the follow-up of endovascularly-treated aneurysms. However, most previous studies were retrospective or with small sample sizes. The objective of this study was to prospectively evaluate the diagnostic performance of silent MRA in the follow-up of intracranial aneurysms treated by different interventional approaches.

Methods

Patients with endovascularly-treated intracranial aneurysms and followed by silent MRA and digital subtraction angiography (DSA) were enrolled. The visualization of treated sites on silent MRA was rated on a 5-point scale. The aneurysm occlusion status was evaluated using the Raymond Scale and a simplified two-grade scale.

Results

A total of 155 patients with 175 treated aneurysms were enrolled. The average score for the visualization of treated sites was 3.92±0.94, and 93.7% (164/175) had a score ≥3. In the subgroup analysis, except for the simple coiling group which had an obviously higher score (4.95±0.21), there was no significant difference among the stent-assisted coiling group (3.51±0.77), flow diversion group (3.74±0.80), and flow diversion with coiling group (3.40±1.17). Regarding aneurysm occlusion status, silent MRA and DSA were discordant for only one aneurysm using the Raymond Scale, and the inter-modality consistency was almost perfect (κ=0.992, 95% CI 0.977 to 1.000).

Conclusions

Silent MRA showed an excellent diagnostic performance in the follow-up of endovascularly-treated intracranial aneurysms, and may be an ideal option for repeated examinations.
Prophylactic intra-arterial injection of lidocaine: a novel strategy to prevent endovascular embolization-induced trigeminocardiac reflex
Authors: Sun Zhaochu , Wang Ruiliang , Dong Hongquan , Li Zheng , Lu Hua , Hu Youli
Published: May 2022

Background

Trigeminocardiac reflex (TCR) is a brainstem reflex that can lead to hemodynamic instability manifested as bradycardia, decrease/increase of mean arterial pressure (MAP) and, in the worst case scenario, asystole during surgery. The effective intraoperative management of recurrent and profound TCR has yet to be established. This randomized paired study was performed to identify the effect of a prophylactic intra-arterial injection of lidocaine to prevent TCR caused by Onyx embolization during cerebrovascular intervention surgery.

Methods

A total of 136 patients who received Onyx embolization under general anesthesia were assigned to a control group pretreated with intra-arterial saline injection or a lidocaine group pretreated with an intra-arterial injection of 20 mg lidocaine. Heart rate (HR) and MAP were closely monitored during the embolization procedures and the incidence of TCR, mainly characterized by a decrease in HR of ≥20%, and perioperative adverse events was recorded.

Results

During dimethyl sulfoxide (DMSO)/Onyx injection, HR was much slower in the control group than in the lidocaine group (p<0.05). TCR occurred in 12 patients (17.6%) in the control group (cardiac arrest in 3 patients) with decreased (7 cases) or increased (5 cases) MAP, whereas no TCR was observed in the lidocaine group. Notably, most TCR episodes occurred in patients with dural arteriovenous fistula and middle meningeal artery being affected. The composite adverse events were significantly higher in the control group than in the lidocaine group (p<0.05).

Conclusion

This prospective study shows that a prophylactic intra-arterial injection of 20 mg lidocaine could be recommended as a novel strategy to effectively and safely prevent TCR during endovascular embolization.
Association between anesthesia modality and clinical outcomes following endovascular stroke treatment in the extended time window
Authors: Dhillon Permesh Singh , Butt Waleed , Podlasek Anna , McConachie Norman , Lenthall Robert , Nair Sujit , Malik Luqman , Hewson David W , Bhogal Pervinder , Makalanda Hegoda Levansri Dilrukshan , James Martin A , Dineen Robert A , England Timothy J
Published: May 2022

Background

There is a paucity of data on anesthesia-related outcomes for endovascular treatment (EVT) in the extended window (>6 hours from ischemic stroke onset). We compared functional and safety outcomes between local anesthesia (LA) without sedation, conscious sedation (CS) and general anesthesia (GA).

Methods

Patients who underwent EVT in the early (<6 hours) and extended time windows using LA, CS, or GA between October 2015 and March 2020 were included from a UK national stroke registry. Multivariable analyses were performed, adjusted for age, sex, baseline stroke severity, pre-stroke disability, EVT technique, center, procedural time and IV thrombolysis.

Results

A total of 4337 patients were included, 3193 in the early window (1135 LA, 446 CS, 1612 GA) and 1144 in the extended window (357 LA, 134 CS, 653 GA). Compared with GA, patients treated under LA alone had increased odds of an improved modified Rankin Scale (mRS) score at discharge (early: adjusted common (ac) OR=1.50, 95% CI 1.29 to 1.74, p=0.001; extended: acOR=1.29, 95% CI 1.01 to 1.66, p=0.043). Similar mRS scores at discharge were found in the LA and CS cohorts in the early and extended windows (p=0.21). Compared with CS, use of GA was associated with a worse mRS score at discharge in the early window (acOR=0.73, 95% CI 0.45 to 0.96, p=0.017) but not in the extended window (p=0.55). There were no significant differences in the rates of symptomatic intracranial hemorrhage or in-hospital mortality across the anesthesia modalities in the extended window.

Conclusion

LA without sedation during EVT was associated with improved functional outcomes compared with GA, but not CS, within and beyond 6 hours from stroke onset. Prospective studies assessing anesthesia-related outcomes in the extended time window are warranted.
Evaluation of postoperative recovery: past, present and future
Authors: Liu Yijun , Qiu Yanhua , Fu Yifan , Liu Jin
Published: May 2022

Postoperative recovery, as a window to observe perioperative treatment effect and patient prognosis, is a common outcome indicator in clinical research and has attracted more and more attention of surgeons and anaesthesiologists. Postoperative recovery is a subjective, multidimensional, long-term, complex process, so it is unreasonable to only use objective indicators to explain it. Currently, with the widespread use of patient-reported outcomes, various scales become the primary tools for assessing postoperative recovery. Through systematic search, we found 14 universal recovery scales, which have different structures, contents and measurement properties, as well as their own strengths and weaknesses. We also found that it is urgently necessary to perform further researches and develop a scale that can serve as the gold universal standard to evaluate postoperative recovery. In addition, with the rapid development of intelligent equipment, the establishment and validation of electronic scales is also an interesting direction.
Fast and precise model calculation for KATRIN using a neural network
Authors: Karl Christian , Eller Philipp , Mertens Susanne
Published: May 2022

We present a fast and precise method to approximate the physics model of the Karlsruhe Tritium Neutrino (KATRIN) experiment using a neural network. KATRIN is designed to measure the effective electron anti-neutrino mass $$m_\nu $$

m
ν

using the kinematics of $$\upbeta $$
β
-decay with a sensitivity of 200 meV at 90% confidence level. To achieve this goal, a highly accurate model prediction with relative errors below the $$10^{-4}$$

10

-
4

-level is required. Using the regular numerical model for the analysis of the final KATRIN dataset is computationally extremely costly or requires approximations to decrease the computation time. Our solution to reduce the computational requirements is to train a neural network to learn the predicted $$\upbeta $$
β
-spectrum and its dependence on all relevant input parameters. This results in a speed-up of the calculation by about three orders of magnitude, while meeting the stringent accuracy requirements of KATRIN.
A Rigidity Property of Complete Systems of Mutually Unbiased Bases
Authors: Matolcsi Máté , Weiner Mihály
Published: May 2022

Suppose that for some unit vectors [Formula: see text] in [Formula: see text] we have that for any [Formula: see text]   [Formula: see text] is either orthogonal to [Formula: see text] or [Formula: see text] (i.e., [Formula: see text] and [Formula: see text] are unbiased). We prove that if [Formula: see text], then these vectors necessarily form a complete system of mutually unbiased bases, that is, they can be arranged into [Formula: see text] orthonormal bases, all being mutually unbiased with respect to each other.
EllSeg-Gen, towards Domain Generalization for Head-Mounted Eyetracking
Authors: Kothari Rakshit S. , Bailey Reynold J. , Kanan Christopher , Pelz Jeff B. , Diaz Gabriel J.
Published: May 2022

The study of human gaze behavior in natural contexts requires algorithms for gaze estimation that are robust to a wide range of imaging conditions. However, algorithms often fail to identify features such as the iris and pupil centroid in the presence of reflective artifacts and occlusions. Previous work has shown that convolutional networks excel at extracting gaze features despite the presence of such artifacts. However, these networks often perform poorly on data unseen during training. This work follows the intuition that jointly training a convolutional network with multiple datasets learns a generalized representation of eye parts. We compare the performance of a single model trained with multiple datasets against a pool of models trained on individual datasets. Results indicate that models tested on datasets in which eye images exhibit higher appearance variability benefit from multiset training. In contrast, dataset-specific models generalize better onto eye images with lower appearance variability.
A blended learning exercise physiology theory module that supports student autonomy and improves academic performance
Authors: Julien Brianna L. , Tangalakis Kathy , Hayes Alan , Lexis Louise
Published: May 2022

Few studies have explored the impact of blended delivery of exercise physiology theory curricula on student learning and experience. This study investigated the impact of a novel blended model on student learning and experience. The module comprised a range of elements (student guide, lecturer-recorded videos, supplementary videos, formative quizzes, workshops, and discussion forum), where students were able to choose which elements to engage with to support their learning.
Effects of Conservation Agriculture and Conventional Tillage on the Soil Physicochemical Properties and Household Income in Southern Ethiopia
Authors: Lejissa Lemlem Tajebe , Wakjira Feyera Senbeta , Tanga Agena Anjulo
Published: May 2022

In Ethiopia, soil degradation has been ongoing for centuries and caused the population to be food insecured. To cope with the challenges of soil fertility loss and related stress, various indigenous reclamation practices have been developed and implemented by local smallholder farmers. However, the contributions of indigenous soil management in augmenting soil quality and crop productivity were not well studied. This study selected two neighboring districts, Derashe and Arba Minch Zuriya, with different indigenous soil management practices. The Derashe people as an adaptation strategy designed indigenous soil management, locally known as Targa-na-Potayta with zero tillage, and mixed/rotational cropping. However, in the neighboring Arba Minch Zuriya district, smallholder farmers use conventional tillage using animal power. Representative soil samples were collected from selected four adjacent kebeles of the two districts. Eight farm plots per kebele were selected and a total of 32 composite samples were collected following a zigzag pattern to the depth of 30 cm. Bulk density (BD), field capacity (FC), permanent wilting point (PWP), particle size, soil textural classes, power of hydrogen (pH), cation exchange capacity (CEC), available potassium (Av. K), available phosphorous (Av. P), total nitrogen (TN), exchangeable bases (Na, Mg, Ca, and K), and soil organic carbon (OC) were analyzed. To assess crop production and income, a total of 392 household heads were interviewed using a structured questionnaire. The collected data were analyzed using an independent sample t-test. The results showed, soils under indigenous management, clay content was 53.74 ± 2.68%, FC 47.8 ± 1.09%, AWHC 15.2 ± 0.37%, pH 8.02 ± 0.07, SOC 1.8 ± 0.02%, and sum of cations 68.2 ± 1.66 meq/100 g. The values in the tested parameters were statistically significant (

P
<
0.05

) and favor good soil management practice as compared to conventional tillage. Using the three consecutive cultivation seasons, CA and CT groups’ mean production from pooled annual crops was 81.28 and 51.03Q ha-1, respectively. CA and CT groups’ mean gross income from annual crops was 98,250.15 ETB ($2751.78) ha-1 and 71,099.48 ETB ($1993.4) ha-1, respectively. Considering the pooled three consecutive cultivation seasons, CA and CT groups’ income from annual + perennial crops was 93,405.29 ETB ($2870.69) ha-1 and 280,721.73 ETB ($8325.17) ha-1, respectively. CA and CT groups’ per annum income from annual + perennial crops was 49,672.86 ETB ($1444.82) ha-1 and 157,980.60 ETB ($4595.13) ha-1, respectively. To sustainably maximize the productivity of the land, conventional tillage practicing smallholder farmers need to integrate the indigenous soil management approach—Targa-na-Potayta. Besides, the benefits of Targa-na-Potayta as sustainable agricultural land management practice need to be scaled out with policy support.
Influence of Underground Mining Direction Based on Particle Flow on Deformation and Failure of Loess Gully Area
Authors: Zhang Yanjun , Kong Jiayuan , Zhu Yuanhao , Zhu Wenxin , He Fushuai , Wang Lingfei , Li Zoujun
Published: May 2022

Due to unique landform and lithological features of the loess gully area, the geological disasters caused by coal mining have become more complex. Moreover, the advancing direction of the working face has an important influence on the deformation of the slope on both sides of the gully. In this paper, combined with the specific conditions of a coal mine working face in western China, we use the method of particle flow numerical simulation and theoretical analysis to examine and observe the deformation, as well as characteristics of failures in the loess gully area under different mining directions of the working face. The deformation process of the gully area can be obtained by combining the numerical simulation results. According to different mining directions of the working face, the failure mode of mining in the loess gully area was divided into the back slope and along slope advancing failure modes. Through empirical evaluation, our investigation demonstrates that the bottom of the gully was damaged seriously by both along slope mining and back slope mining. Albeit the influence of coal seam excavation on the slope surface was relatively small; however, it is greater on the flat ground of the upper slope. Under the same mining conditions, the advancing direction of the working face affected the horizontal movement of the loess gully area but had less effect on the subsidence. Furthermore, we observed that the failure mode of the mining slope is highly correlated with the mining direction and relative position of the working face. The results obtained from this research can provide useful information for deformation and failure prediction, working face mining method, and geological disaster assessment in the loess gully area.
PyraPVConv: Efficient 3D Point Cloud Perception with Pyramid Voxel Convolution and Sharable Attention
Authors: Chen Yuhong , Peng Weilong , Tang Keke , Khan Asad , Wei Guodong , Fang Meie
Published: May 2022

Designing efficient deep learning models for 3D point cloud perception is becoming a major research direction. Point-voxel convolution (PVConv) Liu et al. (2019) is a pioneering research work in this topic. However, since with quite a few layers of simple 3D convolutions and linear point-voxel feature fusion operations, it still has considerable room for improvement in performance. In this paper, we propose a novel pyramid point-voxel convolution (PyraPVConv) block with two key structural modifications to address the above issues. First, PyraPVConv uses a voxel pyramid module to fully extract voxel features in the manner of feature pyramid, such that sufficient voxel features can be obtained efficiently. Second, a sharable attention module is utilized to capture compatible features between multi-scale voxels in pyramid and point cloud for aggregation, as well as to reduce the complexity via structure sharing. Extensive results on three point cloud perception tasks, i.e., indoor scene segmentation, object part segmentation and 3D object detection, validate that the networks constructed by stacking PyraPVConv blocks are efficient in terms of both GPU memory consumption and computational complexity, and are superior to the state-of-the-art methods.
Correlation Study between Rural Human Settlement Health Factors: A Case Study of Xiangxi, China
Authors: Tong Shuyuan , Zhu Yafeng , Li Zhe
Published: May 2022

With the emergence of the Industry 4.0 era in China, more refined methods are being proposed for healthy living requirements for human settlements. Since the rural human settlements in China are relatively backward, this study aimed to investigate the influencing factors of human health. First, through field surveys and questionnaires conducted with villagers in Xiangxi’s traditional villages in Hunan Province, we analyzed the factors affecting human health qualitatively and quantitatively using the SPSS software. We identified three main dimensions affecting human health in rural human settlements including human behavioral activities, physical environment, and natural environment. Then, we used correlation analysis and multiple linear regression analysis methods to analyze the correlation between environmental factors and human health. The results showed that human activities, building physical environment, and natural environment are significantly correlated with human health. Among them, human behavior has the strongest correlation with health. This research contributes to creating healthy human settlements and guiding the creation of a healthy environment in rural China.
Development of a Data-Driven Decision-Making System Using Lean and Smart Manufacturing Concept in Industry 4.0: A Case Study
Authors: Tripathi Varun , Chattopadhyaya Somnath , Mukhopadhyay A. K. , Saraswat Suvandan , Sharma Shubham , Li Changhe , Rajkumar S.
Published: May 2022

Nowadays, industries are emphasizing the implementation of a smart shop floor management method because of different types of problems faced in controlling the production activities in Industry 4.0. Several shop floor management methods are currently implemented in the present Industry 4.0 scenario, including lean manufacturing, logistics, Internet of things, smart manufacturing, cyber-physical system, and artificial intelligence. The present research work is focused on the development and Taguchi validation methodology of a data-driven decision-making system using L9 orthogonal array for smart shop floor management based on the relationship between production sustainability and constraints. The proposed system has been validated by a comprehensive investigation of a case of mining machinery manufacturing unit. The result of the investigation revealed that productivity has been enhanced by effective controlling of production activities on the shop floor. Taguchi L9 orthogonal array method of design of experiments is implemented to enhance flexibility for shop floor control and meanwhile minimize the production time due to inefficient operating conditions on the shop floor. Taguchi method was implemented for critical conditions affecting production lead time and resource utilization. The authors have detailed discussion on developing present novel hybrid integration of lean and smart manufacturing approaches to enhance operational excellence in production activities and other complicated manufacturing environment on the shop floor within available resources. The present finding demonstrates that the adopted digital technologies under smart manufacturing with lean manufacturing are found to be cost-effective approach under different environmental conditions. The proposed system has significantly improved the efficiency of production management and operational performance by using smart systems and has proved effective in improving the financial position by making a safer shop floor management approach. In this article, a robust problem-solving system is provided. The present work aims to introduce revolutionary methods for Industry 4.0 that would result in productivity enhancement and beneficial impact on industry persons by improving the smart shop floor management. The study also provides valuable perspective and sustainable guidelines to facilitate industry individuals to implement lean and smart manufacturing for productivity enhancement in the production environment of Industry 4.0.
Study on the Effect of PDCA Circulation Method on Nursing Quality Management in the Day Operating Room
Authors: Yao Xiaoyan , Zhu Hang , Wang Yifei , Xiang Yan , Chen Ying
Published: May 2022

Objective. The main objective is to investigate the effect of PDCA circulation management on nursing quality in the day operation room. Methods. A retrospective study was performed in 300 patients in the day surgery room. For the control group, 150 patients received routine nursing. For the observation group, 150 patients underwent PDCA circulation nursing management. The scores for nursing quality management, the hospital infection, the detection rate of pathogenic bacteria, the incidence rate of adverse events, the negative emotion of patients, and the satisfaction rate for the day surgery department were recorded and analyzed between two groups. Results. Compared with the control group, the scores for nursing quality management and the satisfaction rate for the day surgery department were significantly increased (all P < 0.05), while the hospital infection, the detection rate of pathogenic bacteria, HAMA scores, HAMD scores, and the incidence rate of adverse events were obviously decreased (all P < 0.05). Significantly statistical differences were observed between the two groups. Conclusion. PDCA circulation nursing management in the day operating room could optimize the nursing quality management, improve the satisfaction rate of the operating room, reduce the negative emotions of patients, and prevent adverse events in time, with lower hospital infections.
Secure Multifactor Authentication and Access Control Mechanism for Electronic Bill Service in a 5G Cloud-Fog Hybrid Architecture
Authors: Guo Zhenyang , Zhang Yueyu , Cao Jin , Ren Xiongpeng , Zhao Xingwen , Li Hui
Published: May 2022

The electronic bill service was greatly encouraged by electronic commerce and paperless bills. However, the massive authentication and authorization access requests from users in the electronic bill services cannot be efficiently processed by a conventional client/server-based scheme during the 5G era. This paper proposes a secure multifactor authentication and access control scheme tailored for electronic bill service in a 5G cloud-fog hybrid architecture. The proposed scheme can realize many security properties, including mutual authentication, privacy protection, batch authentication, authorization and revocation of authority, and resistance to multiple protocol attacks. Moreover, the scheme has the desired performance compared to similar schemes. Finally, we used BAN logic and Scyther to analyze and verify the proposed protocol, and the result shows that the proposed scheme is stable and can achieve the previous security goals.
Perceived Family Stress Predicts Poor Metabolic Control in Pediatric Patients with Type 1 Diabetes: A Novel Triadic Approach
Authors: Mahler Fiona L. , Konrad Daniel , Landolt Markus A.
Published: May 2022

Objective. Poor metabolic control and low treatment adherence remain major issues for many pediatric patients with type 1 diabetes. Important risk factors for both include psychosocial variables such as stress. To date, stress in type 1 diabetes patients and their parents has been investigated at an individual level. The present study tested the hypothesis that patients’, mothers’, and fathers’ perceived stress is positively related to each other and therefore is a factor common to the family. This factor was then hypothesized to be related to patients’ poorer treatment adherence behavior and metabolic control. Research Design and Methods. This cross-sectional study at the University Children’s Hospital Zurich included 190 type 1 diabetes patients (age: 7–18 years; illness duration: ≥1 year) and their families. The Perceived Stress Scale was used to measure the self-reported stress of patients, mothers, and fathers. Patients’ treatment adherence was rated by their endocrinologists. HbA1c served as indicator of metabolic control. A structural equation model (SEM) was conducted for analysis. Results. The SEM showed adequate model fit. Patients’ (

β
=
.567

,

p
≤
.001

), mother’s (

β
=
.621

,

p
≤
.001

), and father’s (

β
=
.585

,

p
≤
.001

) perceived stress loaded all on a single factor, perceived family stress. This factor was significantly associated with treatment adherence (

β
=
−
.384

,

p
≤
.001

) and with HbA1c (

β
=
.210

,

p
=
.012

) of patients. Conclusions. Results confirmed perceived family stress to be a common family construct. Because perceived family stress might have a negative impact on patients’ treatment adherence and HbA1c, subjective stress appraisals of patients and both parents should be considered when counseling children and adolescents with type 1 diabetes.
Unsteady MHD Tangent Hyperbolic Nanofluid Past a Wedge Filled with Gyrotactic Micro-Organism
Authors: Atif S. M. , Ganie Abdul Hamid , Khan Ilyas , Andualem M.
Published: May 2022

In this numerical investigation, tangent hyperbolic nanofluid past a wedge-shaped surface filled with gyrotactic micro-organisms has been examined. The simulations have been performed in the presence of Ohmic heating and linear thermal radiation effect. After using similarity transformation to convert modeled PDEs into ODEs, the system of ODEs is tackled with the aid of shooting technique. For the authenticity of the code, the present numerical data have been compared with the already existing results in the literature. The impact of important governing parameters on velocity, concentration, temperature, and motile density distribution is examined graphically. Furthermore, the numerical values of the surface drag, heat transfer rate, mass transfer rate, and motile density number are computed and represented in the tabular form. Our simulations indicate that the Nusselt number is enhanced for the growing values of unsteadiness and the velocity ratio parameters. Moreover, a significant raise in nanofluid velocity is observed as magnetic number gets bigger whereas the temperature profile is depressed. For the above proposed model, it can be concluded that heat and mass can be enhanced by using gyrotactic micro-organism.
Multiomics Integrated Analysis Identifies SLC24A2 as a Potential Link between Type 2 Diabetes and Cancer
Authors: Bian Qin , Li Haijun , Wang Xiaoyi , Liang Tingting , Zhang Kai
Published: May 2022

Background. So far, type 2 diabetes (T2D) is considered as an independent risk factor for various cancers, but the underlying mechanism remains unclear. Methods. SLC24A2 was first identified as a key gene strongly associated with fasting plasma glucose (FPG). Then, overlapped differentially expressed genes (DEGs) between T2D verse control and SLC24A2-high verse SLC24A2-low were extracted and imported into weighted correlation network analysis. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and gene set enrichment analysis were used for functional enrichment analysis of DEGs. Least absolute shrinkage and selection operator was utilized to build a T2D prediction model. Timer and

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plotters were employed to find the expression and prognosis of SLC24A2 in pan cancer. Results. Interestingly, both DEGs between T2D verse control and SLC24A2-high verse SLC24A2-low enriched in cancer-related pathways. Moreover, a total of 3719 overlapped DEGs were divided into 8 functional modules. Grey module negatively correlated with T2D and FPG and was markedly involved in ribosome biogenesis. Ten SLC24A2-related genes (RRP36, RPF1, GRWD1, FBL, EXOSC5, BCCIP, UTP14A, TWISTNB, TBL3, and SKIV2L) were identified as hub genes, based on which the LASSO model accurately predicts the occurrence of T2D (

AUC
=
0.841

). In addition, SLC24A2 was only expressed in islet β cells and showed abnormal expression in 17 kinds of cancers and significantly correlated with the prognosis of 10 kinds of cancers. Conclusion. Taken together, SLC24A2 may link T2D and cancer by influencing the ribosome function of islet β cells and play different prognostic roles in different cancers.
Error Concealment in the Density Field of a Spatiotemporal Image Sequence
Authors: Rajarajeswari S. , Umarani C. , Pise Anil Audumbar , Karras Dimitrios A. , Karthikeyan M. P. , Jamal Sajjad Shaukat , Akwafo Reynah
Published: May 2022

One of the most difficult challenges of multimedia transmission during the last two decades has been the retrieval of degraded or missing regions of images and videos while maintaining satisfactory perceptual accuracy. The objective is to retrieve lost data by using the similarity between frames. Usually, error concealment (EC) schemes depend on replacing incorrect data with data that are identical to the initial. This is possible because video contains a high degree of self-similarity. This research focuses on applying an EC approach in transform-domain video sequences. To conduct EC on films, they must first be translated to frames and then transformed using one of the available transformations into frequency-domain images. Using successive frames, it is possible to recover lost or incorrect data from images. Intra-coded frames (I-frames) may be used to recreate lost knowledge in predictive (P-frames) and bidirectional predictive frames (B-frames). I-frame knowledge that has been lost may be restored using previous intra-coded frames. The use of wavelet error concealment generated more precise results than the other techniques. In this study, it was discovered that covering faults in the density sector with wavelets produces more reliable results than the other techniques.
Hybrid Optimized GRU-ECNN Models for Gait Recognition with Wearable IOT Devices
Authors: Monica K. M. , Parvathi R. , Gayathri A. , Aluvalu Rajanikanth , Sangeetha K. , Simha Reddy Chennareddy Vijay
Published: May 2022

With the advent of the Internet of Things (IoT), human-assistive technologies in healthcare services have reached the peak of their application in terms of diagnosis and treatment process. These devices must be aware of human movements to provide better aid in clinical applications as well as the user’s daily activities. In this context, real-time gait analysis remains to be key catalyst for developing intelligent assistive devices. In addition to machine and deep learning algorithms, gait recognition systems have significantly improved in terms of high accuracy recognition. However, most of the existing models are focused on improving gait recognition while ignoring the computational overhead that affects the accuracy of detection and even remains unsuitable for real-time implementation. In this research paper, we proposed a hybrid gated recurrent unit (GRU) based on BAT-inspired extreme convolutional networks (BAT-ECN) for the effective recognition of human activities using gait data. The gait data are collected by implanting the wearable Internet of Things (WIoT) devices invasively. Then, a novel GRU and ECN networks are employed to extract the spatio-temporal features which are then used for classification to realize gait recognition. Extensive and comprehensive experimentations have been carried out to evaluate the proposed model using real-time datasets and also other benchmarks such as whuGait and OU-ISIR datasets. To prove the excellence of the proposed learning model, we have compared the model’s performance with the other existing hybrid models. Results demonstrate that the proposed model has outperformed the other learning models in terms of high gait classification and less computational overhead.
Analysis of University Student Cadres' Retreat Actions in China Based on K-Core Algorithm and FCM Model
Authors: Gao Jing , Sun Yuhan
Published: May 2022

In recent years, there have been constant disputes over college student cadres. Starting from the public opinion crisis of College Students’ autonomy and using the “K-core” algorithm, this paper found that the college student cadres could not realize their own correct roles. The fuzzy cognitive map (FCM) model was used to analyze 49 influencing factors of N University's retreat action. It is found that the five factors of mass support, ability, ideology and morality, work tasks, and performance evaluation are important factors leading to the retreat action. This research proposes role reconstruction and system rectification strategies for the five variables in order to achieve a true feeling of student autonomy and good governance.
Applications of Morse Theory to Fourth-Order Impulsive Differential Equations

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Authors: Gao Dongdong
Published: May 2022

This paper is devoted to studying the nontrivial solutions for fourth-order impulsive differential equations. By applying Morse theory and combining it with local linking theory, some new criteria to guarantee that the fourth-order impulsive differential equation has at least one nontrivial solution will be given. Then, we give an example to illustrate the effectiveness and feasibility of the obtained results in our paper. Moreover, some previous corresponding results will be significantly improved in our paper.
The Intervention of Music Therapy on Behavioral Training of High-Functioning Autistic Children under Intelligent Health Monitoring
Authors: He Rugui
Published: May 2022

Autism is a serious and widespread developmental disorder in children. With the increase of autistic children every year, it is necessary to study a set of effective music therapy activities that can penetrate into life to help autistic children’s rehabilitation training. This paper aims to study the behavioral training of high-functioning autistic children with music therapy intervention under intelligent health monitoring. The autistic children were selected and divided into experimental group and control group. According to the psychological and physiological characteristics of five autistic children aged 5-7 years in the experimental group, the music therapy activity plan was designed, and the experimental intervention was carried out by combining individual music therapy and group music therapy. Compared with the control group, this paper explores the effect of music on the treatment of children with autism. The experimental results of this paper show that the language, social, cognitive, and behavioral problems of autistic children under music therapy under intelligent health monitoring have been significantly improved, and their emotional response ability has improved the most, increasing by 34%. Communication ability was next, increased by 20.3%; motor coordination ability increased by 20%; and cognitive ability improved by 11%. It can be explained that the four aspects of language, social interaction, cognition, and behavior have been significantly improved after music therapy.
Experimental Study on Physical Characteristics of Deep Rocks at Different Depths in Songliao Basin
Authors: Yang Mingqing , He Zhiqiang , Li Cong , Yang Bengao , Liu Guikang , Fu Chenghang , Wang Tianyu , Wei Zijie
Published: May 2022

Deep earth science is the basic of deep resource exploitation, and the research on the physical and mechanical characteristics of deep rock is a research hotspot at present. In order to study the physical characteristics of deep rock at different depths, based on the cores at different depths of 4900-6830 m in Songke Well 2 (SK-2), Songliao Basin, this paper carried out the study including the rock characteristics of mineral, wave velocity, density, and pore, the variation law of physical characteristics of deep rock with depth is studied, and the relationship between different physical parameters of deep rocks is explored. It is found that the core composition minerals of SK-2 at the depth of 4900-6830 m vary greatly with the depth, in which the quality of hard phase minerals accounts for a large proportion. After entering the basement stratum, the mineral content of different phases tends to be close. With the increase of depth, the wave velocity, density, and dynamic elastic modulus of rocks show a linear increase trend, and there is a positive correlation between density and wave velocity. In the range of 4900-6830 m depth, the porosity generally shows a downward trend with the increase of depth. In the range of 6000-6830 m, the porosity tends to be close to 7% with the increase of depth, indicating that formation compaction has little impact on the development of igneous pores in this formation. There is a negative correlation between wave velocity and porosity, and the empirical formula is fitted. This study can provide a reference for the exploration of deep geoscience and deep engineering practice.