bluuebunny/crossref_metadata_2025 huggingface dataset:
Closing the gaps in tobacco endgame evidence: a scoping review
Authors: Puljević Cheneal , Morphett Kylie , Hefler Marita , Edwards Richard , Walker Natalie , Thomas David P , Khan Md Arifuzzaman , Perusco Andrew , Le Grande Michael , Cullerton Katherine , Ait Ouakrim Driss , Carstensen Georgia , Sellars David , Hoek Janet , Borland Ron , Bonevski Billie , Blakely Tony , Brolan Claire , Gartner Coral E
Published: March 2022

Objective

Tobacco endgame policies aim to rapidly and permanently reduce smoking to minimal levels. We reviewed evidence syntheses for: (1) endgame policies, (2) evidence gaps, and (3) future research priorities.

Data sources

Guided by JBI scoping review methodology, we searched five databases (PubMed, CINAHL, Scopus, Embase and Web of Science) for evidence syntheses published in English since 1990 on 12 policies, and Google for publications from key national and international organisations. Reference lists of included publications were hand searched.

Study selection

Two reviewers independently screened titles and abstracts. Inclusion criteria were broad to capture policy impacts (including unintended), feasibility, public and stakeholder acceptability and other aspects of policy implementation.

Data extraction

We report the results according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist.

Data synthesis

Eight policies have progressed to evidence synthesis stage (49 publications): mandatory very low nicotine content (VLNC) standard (n=26); product standards to substantially reduce consumer appeal or remove the most toxic products from the market (n=1); moving consumers to reduced risk products (n=8); tobacco-free generation (n=4); ending sales (n=2); sinking lid (n=2); tax increases (n=7); and restrictions on tobacco retailers (n=10). Based on published evidence syntheses, the evidence base was most developed for a VLNC standard, with a wide range of evidence synthesised.

Conclusions

VLNC cigarettes have attracted the most attention, in terms of synthesised evidence. Additional focus on policies that reduce the availability of tobacco is warranted given these measures are being implemented in some jurisdictions.
Corporate communication of the relative health risks of IQOS through a webchat service
Authors: Braznell Sophie , Branston J Robert , Gilmore Anna B
Published: March 2022

Background

Communication of the relative health risks of IQOS can attract potential consumers, aiding its commercial success. However, health-related claims need to be used cautiously to avoid inaccuracies and attracting non-smokers. We used the live webchat service on the IQOS website to identify information and claims on the relative risks of IQOS made directly to potential consumers in different countries.

Methods

The study was promoted through authors’ networks and conducted between 1 August and 30 November 2020. Participants collected webchat conversation responses to three queries regarding the safety of IQOS relative to cigarettes and e-cigarettes using step-by-step guidance and a predesigned form. Responses were analysed to identify health-related claims and information provided.

Results

70 webchat attempts were recorded across 27 countries, 54 of which (in 22 countries) were successful webchat conversations. In 48 of these, one or more claims were used to indicate IQOS is safer than cigarettes, such as IQOS is smoke free, emits less harmful substances or reduces harm. Four conversations contained statements indicating IQOS is safer than e-cigarettes. Some statements provided were contradictory. Participant age was consistently requested on accessing the website, but tobacco/nicotine use was not. Other information provided included referral to the 2020 US Food and Drug Administration Modified Risk Tobacco Product decision, IQOS or Philip Morris International web pages and claims that IQOS is not risk free nor a cessation device.

Conclusions

A variety of claims and information on the relative safety of IQOS were used in webchat communications. Response variation highlights that clearer regulation is needed to appropriately control corporate communications via live webchat services.
Understanding the long-term policy influence strategies of the tobacco industry: two contemporary case studies
Authors: Hird Thomas R , Gallagher Allen William Andrew , Evans-Reeves Karen , Zatoński Mateusz , Dance Sarah , Diethelm Pascal A , Edwards Richard , Gilmore Anna B
Published: March 2022

Objective

This paper explores transnational tobacco companies’ (TTCs) long-term policy influence strategies using two case studies, harm reduction and illicit tobacco, to identify lessons for the tobacco control movement and wider efforts to address the commercial determinants of health.

Methods

Evidence from a broad combination of sources including leaked documents and findings from over two decades of TTC monitoring were reviewed for each case study and categorised using the Policy Dystopia Model, focusing on the primary discursive strategy and key instrumental (action-based) strategies used.

Results

In both case studies, TTCs seek to advance their interests by engaging primarily in reputation management, coalition management and information management strategies over the long-term to propagate their over-riding discursive strategy—‘we’ve changed, we are part of the solution’—despite clear evidence from both case studies that this is not the case. These strategies are globally coordinated and attempt primarily to reshape norms towards TTC involvement in tobacco control policy and delivery. Findings also suggest that industry denormalisation and the advent of Article 5.3 have led to the TTCs growing use of increasingly complex and opaque ‘webs of influence’.

Conclusions

The tobacco control community must develop its own proactive long-term strategies which should include industry denormalisation, new ways to fund research that reduce industry control, and improved transparency measures for research and policy. These findings, including TTC adaptations to Article 5.3, also indicate the need for more structural solutions, addressing corporate power and the underlying political and economic system. These lessons can be applied to other unhealthy commodity industries.
Towards a theory of bottom-up holographic models for linear Regge trajectories of light mesons
Authors: Afonin S. S. , Solomko T. D.
Published: March 2022

We advance in constructing a bottom-up holographic theory of linear meson Regge trajectories that generalizes and unites into one logical framework various bottom-up holographic approaches proposed in the past and scattered in the literature. The starting point of the theory is a quadratic in fields holographic five-dimensional action in which the Poincaré invariance along the holographic coordinate is violated in the most general way compatible with the linear Regge behavior of the discrete spectrum in four dimensions. It is further demonstrated how different Soft Wall (SW) like holographic models existing in the literature plus some new ones emerge from our general setup. Various interrelations between the emerging models are studied. These models include the known SW models with different sign in the exponential background, the SW models with certain generalized backgrounds, with modified metrics, and No Wall models with 5D mass depending on the holographic coordinate in a simple polynomial way. We argue that this dependence allows to describe the effects caused by the main non-local phenomena of strongly coupled 4D gauge theory, the confinement and chiral symmetry breaking, in terms of a local 5D dual field theory in the AdS space. We provide a detailed comparison of our approach with the Light Front holographic QCD, with the spectroscopic predictions of the dual Veneziano like amplitudes, and with the experimental Regge phenomenology. We apply our general approach to a holographic study of confinement, chiral symmetry breaking, and the pion form factor.
Do current observations support transient acceleration of our universe?
Authors: Bolotin Yu. L. , Cherkaskiy V. A. , Konchatnyi M. I. , Pan Supriya , Yang Weiqiang
Published: March 2022

In this paper, we have investigated a very natural question regarding the dynamics of the universe, namely, the possibility of its decelerating phase immediately after the present accelerating phase. To begin with, we have focused on the matter creation theory which is considered to be a viable alternative to dark energy and modified gravity models. Moreover, we have introduced the cosmographic approach which allows us to express the free parameters of a cosmological model in terms of the known cosmographic parameters. Assuming a generalized matter creation rate, we have discussed the theoretical bounds on the model parameters allowing the future deceleration of the universe. Moreover, using the observational bounds on the cosmographic parameters obtained from the low redshifts observational probes, we have also examined the chance of a decelerating phase of the universe. Finally, considering a variety of known cosmological models and parametrizations, we have tested the same possibility. Our analysis shows that the chance of a future decelerating expansion of the universe is highly dependent on the choice of the cosmological models and parametrizations and also on the observational data. Even though the future decelerating expansion is allowed in some cosmological frameworks, but we do not see any strong evidence in favor of this. Perhaps, the future cosmological surveys could offer some more information regarding the fate of the universe.
THE IMPACT OF MICROENDOSCOPIC DECOMPRESSION ON LOW BACK PAIN IN PATIENTS WITH DEGENERATIVE LUMBAR SPONDYLOLISTHESIS
Authors: Aihara Takato , Kojima Atsushi , Endo Kenji , Sawaji Yasunobu , Suzuki Hidekazu , Nishimura Hirosuke , Murata Kazuma , Konishi Takamitsu , Yamamoto Kengo
Published: March 2022

The same surgeon used microendoscopic decompression (MED) for all 70 patients with degenerative lumbar spondylolisthesis (DS). During the same period, fusion was not performed. Clinical outcomes were evaluated by the Japanese Orthopaedic Association Back Pain Evaluation Questionnaire (JOABPEQ) and visual analogue scale (VAS). Standing maximal flexion-extension lateral radiographs were obtained before and after MED to measure the intervertebral angles and percentages of slipping. The mean duration of follow-up was 47.5 months. The effectiveness rate of low back pain (LBP) was the highest among all five functional scores of the JOABPEQ. LBP, pain and numbness in the buttocks and lower limb as measured by the VAS were significantly improved on follow-up evaluation. Improvements in LBP were significantly correlated with improvements in all other functional scores of the JOABPEQ and with improvements in pain and numbness in the buttocks and lower limb scores of the VAS. However, neither spondylolisthesis nor motion on flexion/ extension (MFE) before and after MED influenced the improvement in LBP and the LBP after MED. The presence of LBP before MED did not lead to poor outcomes. Residual LBP was not related to residual spondylolisthesis or MFE or the development of increased spondylolisthesis postoperatively; however, residual LBP was significantly related to other residual disturbances.
Facile Construction of Cu/ZnO Heterojunctions for Enhanced Photocatalytic Performance
Authors: Zhao Hong , Du Zhenghua , Liu Diandian , Lai Yijian , Yang Tao , Wang Mingyan , Ning Yuesheng , Yin Fujun , Zhao Binyuan
Published: March 2022

The design and construction of semiconductor–metal heterojunctions are being considered to be an effective way to overcome the limited visible-light absorption of semiconductors. Herein, a facile and scale approach is reported for the first time to synthesize Cu/ZnO heterojunctions by one-step galvanic replacement between Zn and cuprous solution reaction. Two kinds of morphologies Cu/ZnO heterojunctions could be obtained by changing cuprous salt anion such as Br−, Cl− and I−. A flower-like Cu/ZnO heterostructured is chosen as a representative to demonstrate the facility and enhanced photocatalytic performance toward Rhodamine B degradation under visible-light irradiation. Results showed flower-like Cu/ZnO heterojunctions have higher photocatalytic performance than the other two morphologies. The galvanic replacement growth mechanism of Cu/ZnO heterojunctions was also further investigated. It is found that Cu/ZnO heterojunctions formed from Zn and Cu2O at an acid solution and room condition. This work indicates that galvanic replacement reaction at room temperature is an excellent technique to grow Cu/ZnO heterojunctions and demonstrates that the hole and electron transfer between Cu and ZnO can efficiently enhance their photocatalytic performance. This general method can also be further explored to guide the design of metal/metal oxide heterostructured on other substrates, such as Zn, Ni and Cu foils.
Upper and lower variances under model uncertainty and their applications in finance
Authors: Li Shan , Li Xinpeng , Yuan George Xianzhi
Published: March 2022

In this paper, we consider the upper and lower variances under model uncertainty and propose the corresponding algorithm. We then focus on the linear combination of maximally distributed and [Formula: see text]-normally distributed random variables, and obtain the explicit formula to calculate Value-at-Risk (VaR) where the underlying risk is captured by such combination with mean-uncertainty and variance-uncertainty simultaneously. As an application in finance, the general [Formula: see text]-VaR prediction with model uncertainty is also discussed.
Contemporary Populism and the Environment
Authors: Ofstehage Andrew , Wolford Wendy , Borras Saturnino M.
Published: March 2022

This review engages with literature on authoritarian populism, focusing specifically on its relationship to the environment. We analyze hybrid combinations of authoritarianism and populism to explore three themes from the literature: environmental governance, social and political representations of nature, and resistance. In the environmental governance section, we analyze how governments have increasingly resorted to populist politics to expand extractivism; certain commodities with national security implications have become key commodities to be protected; and borders, frontiers, and zones of inclusion/exclusion have become flash points. In the social and political representations of nature section, we analyze settler colonialism and sacrifice zones as organizing principles for relations with the environment. In our final section on resistance, we review literature highlighting pushback to authoritarian populism from peasant, indigenous, and worker movements. Variants of populism and authoritarianism are likely to persist amid increasing competition over resources as components of responses to environmental and climate crisis.
Empirical Option Pricing Models
Authors: Bates David S.
Published: March 2022

This article provides an overview of empirical options research, with primary emphasis on research into systematic stochastic volatility and jump risks relevant for pricing stock index options. It reviews evidence from time series analysis, option prices, and option price evolution regarding those risks and discusses required compensation.
Effect of Annealing on Morphological, Structural and Electrical Characteristics of Zinc Oxide Layer for RRAM Applications
Authors: Kaushik Shikha , Pandey Sujata , Singhal Rahul
Published: March 2022

This study looks at the results of Resistive random-access memory (ReRAM) devices made by using structural layers of Gold (Au)/Zinc oxide (ZnO)/Indium tin oxide (ITO). An annealed device resistance ratio increases nonlinearly. After annealing, the resistance ratio was found to be 102 at 1 V. The device’s switching properties improved after annealing. Rutherford Backscattering Spectrometry (RBS) determine the thickness of the deposited zinc oxide layer, which was found to be approximately 140 ± 10 nm. The zinc atomic fractions were calculated to be 60 % and oxygen 40 % by the SIMNRA simulation. The ZnO-based structures were also characterized and analysed using (XRD) X-ray powder diffraction, (SEM) Scanning electron microscope, (AFM) Atomic force microscopy and (XPS) X-ray photoelectron spectroscopy. The current study reveals that annealing improves the performance of RRAM devices.
Review—Next Generation 2D Material Molybdenum Disulfide (MoS2): Properties, Applications and Challenges
Authors: Kumar Vydha Pradeep , Panda Deepak Kumar
Published: March 2022

The advancement of new 2D-TMDC material semiconductors remains a prominent research area as the number of scientific applications grows. One Of those materials, “molybdenum disulfide,” has newly investigated to graphene & Si material alternative. Single-layer molybdenum disulfide (SLMoS2) is used as substitute for graphene & other semiconductor appliances with a high capability of practices in nano-electronic, energy-storing, photocatalysts, optical sensors, biosensors & Electro-Chemical biosensors. It’s working even in widespread variety of energy-related applications, including batteries, solar cells, microwaves, & Terahertz. Furthermore, future hopeful material in nano-scale fields, having additional opportunities in spintronics & magneto-resistance.Many research papers have published papers on the Evolution & Application of MoS2 materials but here in the paper, will give a complete depth comprehensive examination & analysis of the evolution of various 2D materials, starting with their state of requirement, formation, properties, applications, future challenges along with the various comparison simulation results.
Exploring the Physical Properties of Cu2WSe4 for Optoelectronic and Thermoelectric Applications: A DFT Study
Authors: Nadeem Mubashar , Din Moeen Ud , Naeem Haider Tawfiq , Ain Quratul , Munir Junaid
Published: March 2022

Full-potential linearized augmented-plane wave method and Boltzmann transport theory are used to study the electrical, thermoelectric and optoelectronic response of the Cu2WSe4 compound. The calculations are performed with the Perdew–Burke–Ernzerhof generalized gradient approximation (PBE-GGA) and modified Becke–Johnson (mBJ) potential. Structural optimization and formation energy calculations justify the stability of the studied compound. An indirect bandgap (N-Γ) of 1.36 eV with GGA and 1.52 eV with mBJ is achieved. The density of states also exposes the bandgap and confirms the semiconducting nature of Cu2WSe4. The optical properties such as dielectric function, refractive index, absorption coefficient and energy loss are also calculated. The thermoelectric response is calculated through the figure of merit (ZT), Seebeck coefficient, electrical and thermal conductivity and power factor. At high temperatures, a moderate ZT value of 0.65 is achieved with mBJ potential, which shows the possibility to use Cu2WSe4 in the renewable energy device.
Effect of Virtual Reality Combined with Intelligent Exercise Rehabilitation Machine on the Nursing Recovery of Lower Limb Motor Function of Patients with Hypertensive Stroke
Authors: Lv Xiaoxia , Chen Huan
Published: March 2022

The lower limbs of the human body are stable and flexible weight-bearing joints. They usually perform a variety of complex and subtle jobs whose functions directly affect people’s daily lives. The most common type of stroke patients is limb movement dysfunction. 50% to 70% of survivors still have hemiplegic lower limb dysfunction within 2 to 4 years after stroke, which seriously affects their daily life, social participation, functional role, and independence of leisure activities and increases the heavy burden on family and society In order to understand the pathological conditions of ischemic stroke and the role of intelligent sports rehabilitation machines in the diagnosis and treatment of patients with hypertensive stroke, this article collects relevant information through case investigations of patients and interviews with professionals. Using a controlled experiment, the patients were treated in groups, and different treatment plans were used to compare the recovery of the patients’ lower extremity movement ability, so as to provide some reference for the subsequent researchers. The results of the study found that stroke patients are more common in the elderly, the incidence rate of the elderly is 6 times that of young adults, and the recurrence rate of hypertensive stroke patients is 10%, which is extremely harmful. The intelligent exercise rehabilitation machine can play a great role in the treatment of patients. It can greatly improve the motor function of the patient’s lower limbs. The effect is about 30% higher than that of general treatment methods, and it can also play a certain role in the prognosis of rehabilitation and effectively prevent related postoperative complications. This shows that the intelligent sports rehabilitation machine should raise people’s attention in the diagnosis and treatment of patients with hypertensive stroke and increase research and development efforts and promotion efforts, and it can play a greater role in the diagnosis and treatment of patients with hypertensive stroke.
Research on Optimization of Process Parameters of Traditional Chinese Medicine Based on Data Mining Technology
Authors: Li Xue , Yue Hao , Yin Jinlong , Song Yan , Yin Jinling , Zhu Xinlei , Huang Bingchang
Published: March 2022

Data mining technology and methods are used to effectively optimize manufacturing process parameters due to the complexity and uniqueness of the process parameters. The data-mining-based optimization method for traditional Chinese medicine (TCM) process parameters is presented, along with a list of process parameters that have shown to be effective in actual production. The influencing factors of process parameters are analyzed and modeled using an attribute weight analysis and classification analysis algorithm. The optimization scheme of process parameters that meet the requirements is selected, and an example is given for verification, by selecting data records that fall within a certain error range and incorporating the rules of association knowledge discovery. The support vector classification algorithm has a higher accuracy, despite the algorithm's results being understandable. The support vector regression algorithm developed a reliable process optimization model.
The Potential Application of Green‐Synthesized Metal Nanoparticles in Dentistry: A Comprehensive Review
Authors: Yazdanian Mohsen , Rostamzadeh Pouya , Rahbar Mahdi , Alam Mostafa , Abbasi Kamyar , Tahmasebi Elahe , Tebyaniyan Hamid , Ranjbar Reza , Seifalian Alexander , Yazdanian Alireza
Published: March 2022

Orodental problems have long been managed using herbal medicine. The development of nanoparticle formulations with herbal medicine has now become a breakthrough in dentistry because the synthesis of biogenic metal nanoparticles (MNPs) using plant extracts can address the drawbacks of herbal treatments. Green production of MNPs such as Ag, Au, and Fe nanoparticles enhanced by plant extracts has been proven to be beneficial in managing numerous orodental disorders, even outperforming traditional materials. Nanostructures are utilized in dental advances and diagnostics. Oral disease prevention medicines, prostheses, and tooth implantation all employ nanoparticles. Nanomaterials can also deliver oral fluid or pharmaceuticals, treating oral cancers and providing a high level of oral healthcare. These are also found in toothpaste, mouthwash, and other dental care products. However, there is a lack of understanding about the safety of nanomaterials, necessitating additional study. Many problems, including medication resistance, might be addressed using nanoparticles produced by green synthesis. This study reviews the green synthesis of MNPs applied in dentistry in recent studies (2010–2021).
Common Fixed Point Theorem for Multivalued Mappings Using Ternary Relation in
G
-Metric Space with an Application
Authors: Wangwe Lucas
Published: March 2022

This paper proves a common fixed point theorem for single-valued and multivalued mappings by using ternary relation in

G

-metric spaces. Henceforth, results obtained will be verified with the help of illustrative examples. Also, we demonstrate the results with an application.
Ultrasonic Omics Based on Intelligent Classification Algorithm in Hormone Receptor Expression and Efficacy Evaluation of Breast Cancer
Authors: Ala Musu , Wu Jianlin
Published: March 2022

The changes of hormone expression and efficacy of breast cancer (BC) were investigated under the VGG19FCN algorithm and ultrasound omics. 120 patients with BC were selected, of which 90 were positive for hormone receptor and 30 were negative. The VGG19FCN model algorithm and classifier were selected to classify the features of ultrasound breast map, and reliable ultrasound feature data were obtained. The evaluation and analysis of BC hormone receptor expression and clinical efficacy in patients with BC were realized by using ultrasonic omics. The evaluation of the results of the VGG19FCN algorithm was

DSC
 

Dice
 
similarity
 
coefficient

=
0.9626

,

MPA
 

mean
 
pixel
 
accuracy

=
0.9676

, and

IOU
 

intersection
 
over
 
union

=
0.9155

. When the classifier was used to classify the lesion features of BC image, the sensitivity of classification was improved to a certain extent. Compared with the classification of radiologists, when classifying whether patients had BC lesions, the sensitivity increased by 22.7%, the accuracy increased from 71.9% to 79.7%, and the specific evaluation index increased by 0.8%. No substantial difference was indicated between RT (arrive time), WIS (wash in slope), and TTP (time to peak) before and after chemotherapy,

P
>
0.05

. After chemotherapy, the AUC (area under curve) and PI (peak intensity) of ultrasonographic examination were substantially lower than those before chemotherapy, and there were substantial differences in statistics (

P
<
0.05

). In summary, the VGG19FCN algorithm effectively reduces the subjectivity of traditional ultrasound images and can effectively improve the value of ultrasound image features in the accurate diagnosis of BC. It provides a theoretical basis for the subsequent treatment of BC and the prediction of biological behavior. The VGG19FCN algorithm had a good performance in ultrasound image processing of BC patients, and hormone receptor expression changed substantially after chemotherapy treatment.
Study on Risk Analysis and Decision-Making of Small- and Medium-Sized Enterprises on BP Neural Network Algorithm
Authors: Li Yongyi , Lu Jing , Jiao Quankun , Cao Kexin
Published: March 2022

Artificial neural network algorithm has strong nonlinear mapping function. BP neural network algorithm is the representative of artificial neural network algorithm. Due to the relatively small scale of small, medium, and micro enterprises and lack of mortgage assets, the biggest market risk they usually face is credit risk. In order to avoid huge economic losses for banks, the impact of risk analysis on credit decision-making is the key. Therefore, the establishment of a scientific and complete credit risk assessment system has become the primary task. This paper mainly uses BP neural network algorithm to analyze the risk of small and medium-sized enterprises and solve the problem of credit decision-making. First, analyze the various influencing factors that cause credit risk, and layer the factors according to the degree of risk; secondly, use the fuzzy comprehensive evaluation method in mathematical modeling to rank each factor; then, use the fuzzy analytic hierarchy process to calculate the weight of each indicator factor as calculated by establishing the risk value function, using the function expression of the annual interest rate and the total credit formula to calculate the total credit, which solves the problem of the loan line of each enterprise, and use the optimal linear programming to give priority to the selection of the line and the interest rate. Enterprises: finally, for enterprises that do not have a credit rating, reasonable adjustments are made to the quota by establishing lending qualification expression, taking into account the impact of unexpected external factors, establishing an improved annual interest rate function, and achieving an optimized credit strategy through the establishment and solution of the model. The goal of optimizing credit strategy has been achieved.
A Novel Secure Authentication Protocol for IoT and Cloud Servers
Authors: Iqbal Ummer , Tandon Aditya , Gupta Sonali , Yadav Arvind R. , Neware Rahul , Gelana Fraol Waldamichael
Published: March 2022

The integration of IoT with the cloud infrastructure is essential for designing smart applications. However, such integration may lead to security issues. Authentication and session key establishment is an essential security requirement for secure communication between IoT devices and cloud servers. For evaluating authentication key agreement schemes, the extended Canetti–Krawczyk (eCK) adversary model is regarded to be a more strict and relevant adversary model. Many schemes for authenticated key exchange between IoT devices and cloud servers have been proposed in the literature but have been assessed under Dolev and Yoa (DY) adversary model. Recently, Rostampour et al. introduced an ECC-based approach for enabling authentication between IoT devices and cloud servers that is secure and robust to various attacks under the Dolev and Yoa adversary model. In this paper, a detailed review and the automated security verification of the Rostampour et al. scheme are carried out under the eCK adversary model using Scyther-Compromise. The validation indicates that the scheme is not secure and is susceptible to various attacks under the eCK adversary model. To overcome the limitation of the Rostampour et al. scheme, a design of an ECC-based scheme for authentication between IoT devices and cloud servers under the eCK adversary model is proposed. The Scyther verification indicates that the scheme is safe under the eCK adversary model. The soundness of the correctness of the proposed scheme has been analyzed using BAN logic. Comparative analysis indicates that the scheme is resilient under the eCK adversary model with an energy overhead of 278.16 mJ for a resource constraint IoT device and a communication overhead of 1,408 bits.
Study on Correlation between Body Cell Mass Index and Cognitive Impairment in Hemodialysis Maintaining Patients: A Cross-Sectional Study
Authors: Ou Qinqin , Zhou Chaomin , Tian Maolu , Yang Xiangyan , Zha Yan
Published: March 2022

Objective. To investigate the relationship between body cell mass index (BCMI) and cognitive impairment in maintaining hemodialysis (MHD) patients. Methods. We collected the general materials, laboratory indexes, and physical measurement indexes of patients undergoing maintenance hemodialysis in hemodialysis centers of 20 tertiary and tertiary general hospitals in Guizhou Province from June to September 2020. The body composition was measured by bioelectrical impedance method, and the BCMI value was calculated. The subjects were divided into normal cognitive function group (score ≥27), mild cognitive impairment group (score 23–26), and severe cognitive impairment group (score <23). Two groups of people with normal cognitive function and cognitive impairment with similar baseline data (gender, age, and education) were obtained by propensity score matching (PSM). Results. A total of 2008 subjects were included in this study, including 467 cases (23.3%) in the cognitive impairment group. A total of 814 cases were accurately matched after PSM. Multivariate logistic regression analysis showed that the incidence risk of the BCMI Q1 group was 8.99 times higher than that of the Q4 group (95% CI: 5.74 ∼ 14.09,

P
<
0.001

). ROC curve analysis showed that the best threshold of BCMI for predicting cognitive impairment in MHD patients was 9.05, the sensitivity and specificity were 71.5% and 62.7%, respectively, and the area under the curve was 0.713 (95% CI: 0.678 ∼ 0.748,

P
<
0.001

). Conclusions BCMI is related to cognitive impairment in MHD patients and has predictive value for the onset of cognitive impairment in MHD patients.
The Application of Deep Learning Model in Recruitment Decision
Authors: Wang Yang , Zhu Zhengjie
Published: March 2022

With the rapid development of social economy, the competition of human resources is becoming more and more fierce. Recruitment, as the main way for enterprises to obtain talents, determines the future development of enterprises to a great extent. Compared with Western advanced countries, the research on recruitment in China started late, the overall research level is relatively backward, and most of the relevant technical means and analytical methods are introduced from advanced countries. The existing literature is still relatively scattered, which is not conducive to the rapid development of recruitment direction research, and is not conducive to specific applications. Starting with the existing deep learning, from four models, that is, based on the traditional machine learning model, conditional random field (CRF), deep learning models Bi-LSTM-CRF, BERT, and BERT-Bi-LSTM-CRF identify and automatically extract recruitment entities and study recruitment accordingly; BERT-Bi-LSTM-CRF-BERT and BERT-BiLSTM-CRF are the models with the worst recognition effect. Although they have stronger text feature extraction ability and context information capture ability, they are limited by the small scale of information science recruitment corpus and the small number of entities, so their performance under this task is not brought into full play. Although CRF is relatively traditional, it can still achieve excellent results on some small-scale sparse datasets.
A Thromboxane A
2
Receptor-Driven COX-2–Dependent Feedback Loop That Affects Endothelial Homeostasis and Angiogenesis
Authors: Eckenstaler Robert , Ripperger Anne , Hauke Michael , Petermann Markus , Hemkemeyer Sandra A. , Schwedhelm Edzard , Ergün Süleyman , Frye Maike , Werz Oliver , Koeberle Andreas , Braun Heike , Benndorf Ralf A.
Published: March 2022

Background:

TP (thromboxane A
2
receptor) plays an eminent role in the pathophysiology of endothelial dysfunction and cardiovascular disease. Moreover, its expression is reported to increase in the intimal layer of blood vessels of cardiovascular high-risk individuals. Yet it is unknown, whether TP upregulation per se has the potential to affect the homeostasis of the vascular endothelium.

Methods:

We combined global transcriptome analysis, lipid mediator profiling, functional cell analyses, and in vivo angiogenesis assays to study the effects of endothelial TP overexpression or knockdown/knockout on the angiogenic capacity of endothelial cells in vitro and in vivo.

Results:

Here we report that endothelial TP expression induces COX-2 (cyclooxygenase-2) in a G
i/o
- and G
q/11
-dependent manner, thereby promoting its own activation via the auto/paracrine release of TP agonists, such as PGH
2
(prostaglandin H
2
) or prostaglandin F
2
but not TxA
2
(thromboxane A
2
). TP overexpression induces endothelial cell tension and aberrant cell morphology, affects focal adhesion dynamics, and inhibits the angiogenic capacity of human endothelial cells in vitro and in vivo, whereas TP knockdown or endothelial-specific TP knockout exerts opposing effects. Consequently, this TP-dependent feedback loop is disrupted by pharmacological TP or COX-2 inhibition and by genetic reconstitution of PGH
2
-metabolizing prostacyclin synthase even in the absence of functional prostacyclin receptor expression.

Conclusions:

Our work uncovers a TP-driven COX-2–dependent feedback loop and important effector mechanisms that directly link TP upregulation to angiostatic TP signaling in endothelial cells. By these previously unrecognized mechanisms, pathological endothelial upregulation of the TP could directly foster endothelial dysfunction, microvascular rarefaction, and systemic hypertension even in the absence of exogenous sources of TP agonists.
Clinical Impact of Hypoattenuating Leaflet Thickening After Transcatheter Aortic Valve Replacement
Authors: Garcia Santiago , Fukui Miho , Dworak Marshall W. , Okeson Brynn K. , Garberich Ross , Hashimoto Go , Sato Hirotomo , Cavalcante João L. , Bapat Vinayak N. , Lesser John , Cheng Victor , Newell Marc C. , Goessl Mario , Elmariah Sammy , Bradley Steven M. , Sorajja Paul
Published: March 2022

Background:

Hypoattenuated leaflet thickening (HALT), identified on functional cardiac computed tomography (CTA), can affect valve function and clinical outcomes. The objective of this study was to assess the impact of HALT on clinical outcomes in patients treated with transcatheter aortic valve replacement (TAVR).

Methods:

In July 2015, Minneapolis Heart Institute implemented prospective screening of HALT at 30-day post-TAVR with CTA. Patients with evidence of HALT were recommended to initiate anticoagulation for 3 to 6 months with warfarin. Echocardiographic, ischemic, and bleeding outcomes were compared between HALT+ and HALT− patients. Survival rates were compared between HALT+ and HALT− patients using log-rank test, with Cox regression analysis used to identify variables independently associated with long-term death landmarked at time of CTA. This analysis included patients treated from July 1, 2015 to October 31, 2019.

Results:

Of 856 patients undergoing TAVR during the study period, 638 (75%) underwent CTA post-TAVR (median time 31 [30–37] days). HALT+ was evident in 79 (12.3%). HALT+ patients were more likely prescribed warfarin at 1, 3, and 12 months (all
P
<0.001) and had similar gradients compared with HALT− patients. After a median follow-up of 2.2 years (1.5-3.2), HALT+ patients had increased mortality (30% versus 20%;
P
=0.001). In Cox regression analysis, presence of HALT (hazard ratio, 1.83 [95% CI, 1.13–2.97];
P
=0.014) remained independently associated with long-term mortality.

Conclusions:

In a large, real-world cohort of patients receiving TAVR followed by systematic screening with CTA 30-days post-procedure, HALT was found in 12% of patients and independently associated with long-term mortality. Findings of this nonrandomized, observational cohort study require independent validation.
Spirit-led Missions
Authors: Sande Nomatter , Nyadzo Silas
Published: March 2022

A rigorous approach to missions is a significant trait of classical Pentecostalism. However, the multi-cultural context of the United Kingdom shows that most African Pentecostal churches are struggling to attract much indigenous populace as compared to mega-churches in Africa. Using the case study of Apostolic Faith Mission International Ministries UK, this study explores the church’s strategies to missions and its impact on church growth in the United Kingdom. The study used Spirit-infusion as a theological framework for discussing Spirit-led missions. The study is phenomenological observation qualitative research, data was gathered through in-depth interviews, questionnaires, and participant observations. A key finding was that the church’s missions strategy is spontaneous, all-believers, auxiliary and structured; but they are failing to translate into church growth. The study concludes that the church should revisit the issue of ‘experience’ coupled with negotiating to move beyond the cultural, ethnic, and colonial boundaries. The study recommends that the African Pentecostal theology of missions in diasporic contexts must consider: the Spirit experience; lives concentrated to the Spirit; Spirit of miracles; and Spirit of excellence.
Verbascum birjandense and V. urumiense (Scrophulariaceae), two new endemic species for Flora of Iran
Authors: SOTOODEH ARASH , ATTAR FARIDEH , LAITUNG BERYL , CIVEYREL LAURE
Published: March 2022

Verbascum birjandense and V. urumiense are described as new endemic species of Verbascum from eastern and northwestern Iran. It was not possible to assign the samples of these two taxa to any of the known Verbascum species in Iran and adjacent regions. Collating the morphological characters of the samples against the specialized and pertinent literature of the genus led us to propose them as new species. Both belong to section Bothrosperma, subsection Fasciculata.
                These new species are morphologically close to V. erianthum and V. songaricum based on some key characteristics, but show some differences in basal leaves shape, pedicel size, the ratio of pedicel to calyx, presence of hairs inside the corolla, and the hair color of the stamen’s filaments. Distribution map and details of important characters are also presented.
A revision of the genus Jucancistrocerus Blüthgen, 1938 from China, with review of three related genera (Hymenoptera: Vespidae: Eumeninae)
Authors: LI TING-JING , BAI YUE , CHEN BIN
Published: March 2022

In this paper, the genus Jucancistrocerus Blüthgen 1938 from China is systematically reviewed, with the first description of the female of J. (Eremodynerus) chotanensis (Blüthgen, 1942). Meanwhile, three related genera Eustenancistrocerus Blüthgen, Stenancistrocerus de Saussure and Tachyancistrocerus Giordani Soika are briefly reviewed, of which Eustenancistrocerus and Tachyancistrocerus are newly recorded from China. A total of nine species of these four genera from China are illustrated as follows: J. (Eremodynerus) atrofasciatus (Morawitz, 1885), J. (E.) chotanensis (Blüthgen, 1942), J. (J.) tachkensis, J. (J.) alashanicus Kurzenko, 1977, J. (J.) angustifrons (Kostylev, 1940), E. (Eustenancistrocerus) askhabadensis (Morawitz, 1885), E. (Parastenancistrocerus) amadanensis amadanensis (de Saussure, 1855), S. (Paratropancistrocerus) transcaspicus (Kostylev, 1934), and T. schmidti (Kokujev, 1912). In addition, a key to the above species is compiled.
A Computational Fluid Dynamic Study of Shell and Tube Heat Exchanger Using (CuO, Al2O3, TiO2)-Water Nanofluids
Authors: Khan Sabuddin , Thakur H. C. , Khan Nazeem
Published: March 2022

The Nusselt number for a Shell and tube Heat Exchanger with segmental baffles for different nanofluids, for different mass flow rate are discussed in the present paper. A shell and tube heat exchanger with 7 tubes and 4 segmental baffles modelling is done using SOLIDWORKS and simulation
is done by the Computational Fluid Dynamic (CFD) software; ANSYS-FLUENT. By using Fluent, computational fluid dynamics software the heat transfer coefficient and various heat characteristics of Al2O3–H2O, TiO2–H2O and CuO–H2O
for 1% volume of concentration nanofluids are estimated in the Shell and Tube Heat Exchanger considering the turbulent flow.
Stabilization of Maglev Plant Through Feedback Controller
Authors: Gupta Arpan , Sharma Deepak , Ghoshal Sanjoy K.
Published: March 2022

The MAGLEV plant found its application in various engineering fields namely high-speed trains, non-contact bearings, maglev wind turbine and many more. The Maglev plant shows non-linear behavior and is highly unstable in nature. The following work emphasis on how the Maglev plant can
be stabilized and also on developing its mathematical model. Firstly, non-linear model is converted to a linear one through the use of Taylor’s series. After linearization, the state space model of the system is developed which further helps in making the Simulink model and then finally
feedback controller is employed in order to control the system.
Design, Development of Aeroleaf of Wind Tree Turbine for Domestic Application
Authors: Patel Vinay D. , Sheoran Ankita , Nishad Eklavya , Sawaji Ganesh , Ravikumar Mahesh , Chaudhari Ashish
Published: March 2022

The paper discusses about the wind tree turbine which is a type of vertical axis wind turbine Savonius model. The turbine will be attached to a manufactured tree that will be installed in and around any public area such as parks, roads, public facilities, or business offices. The initial
phase discusses about the theoretical evaluation of available wind power for a single aeroleaf wind tree turbine. The second phase evaluates the pressure drop across the aeroleaf blade at the various velocity using CFD simulation. The simulation outcome shows that, pressure drop is directly
proportional to the wind velocity which causes rise in the power generated at the shaft. The less pressure drop is produced up to some radius of the aeroleaf and increases as the radius of aeroleaf increased. In third phase of experiment work, design a new single aeroleaf for wind tree turbine
to measure actual shaft power at different wind inlet velocity. Experiment performance conducted on a single aeroleaf at different input wind velocities to measure the aeroleaf, entire casing and overall efficiencies. The result shows that power co-efficient increases at beginning and highest
reaches at 32% at inlet velocity of 19 m/s.
An Efficient Memory Utilization for Path Construction of a de Bruijn Graph
Authors: Shahare Vivek , Ahatsham  , Arora Nitin , Mouje Nidhi
Published: March 2022

The large memory requirement becomes the challenge for the NGS technologies, as the memory is the bottleneck for every application. There is need to reduce the memory utilization for the de Bruijn graph, so as to it could fit in low memory space. This work provides the efficient memory
utilization for the de Bruijn graph. The minimizer breaks the reads into numerous little partitions with the goal that every partition could be loaded into main memory one by one; they process separately then later on merge to form the simple path of de Bruijn graph. This reduces the space
usage required during construction of de Bruijn graph.
Hybrid Neuro-Fuzzy Learning Models for Classification of Motion Sickness Levels Using Biosignals
Authors: Paul Jis , Madheswaran M.
Published: March 2022

Motion sickness is all around as long as there is existence of humans and motion. This sickness has been common in numerous people and due to which it has become the focus area of neurological, psychological and physiological researchers. Most common group of this motion sickness pertains
to the category of visual sensitivity; also called visual dependence, wherein people become sick due to visual motion. In this research paper, classification of the levels of motion sickness is done by developing classifiers: (1) k-Nearest neighbour (kNN) classifier (2) Fuzzy c-means classifier
(3) ELMAN neural classifier (4) Fuzzy-Wavelet neural network classifier. All the developed classifier models are based on variants of machine learning approaches and are designed to overcome the limitation of the conventional binary classification approach. In this work, electroencephalogram
(EEG) data, centre of pressure and trajectories of head and waist motion data of 20 people were recorded and the developed classifier models were applied over them to attain the classification accuracy. Features of these multiple biosignals are denoised and extracted over which the classifier
models were tested. The proposed technique is simulated in MATLAB simulation environment for the considered candidate data samples. Numerical simulation was carried out and the results prove the superiority and effectiveness of the developed classifiers over the various existing classifier
models.