bluuebunny/crossref_metadata_2025 huggingface dataset:
Complete Genome Sequence of Bacillus cereus Strain CPT56D-587-MTF, Isolated from a Nitrate- and Metal-Contaminated Subsurface Environment
Authors: Goff Jennifer L. , Lui Lauren M. , Nielsen Torben N. , Thorgersen Michael P. , Szink Elizabeth G. , Chandonia John-Marc , Poole Farris L. , Zhou Jizhong , Hazen Terry C. , Arkin Adam P. , Adams Michael W. W.
Published: April 2022

Bacillus cereus
strain CPT56D-587-MTF was isolated from nitrate- and toxic metal-contaminated subsurface sediment at the Oak Ridge Reservation (ORR) (Oak Ridge, TN, USA). Here, we report the complete genome sequence of this strain to provide genomic insight into its strategies for survival at this mixed-waste site.
Individuality of the Extremely Premature Infant Gut Microbiota Is Driven by Ecological Drift
Authors: Seki David , Schauberger Clemens , Hausmann Bela , Berger Angelika , Wisgrill Lukas , Berry David
Published: April 2022

Our knowledge concerning the initial gut microbiome assembly in human neonates is limited, and scientific progression in this interdisciplinary field is hindered due to the individuality in composition of gut microbiota. Our study addresses the ecological processes that result in the observed individuality of microbes in the gastrointestinal tract between extremely premature and term-born infants.
Genomic Sequencing of Bacillus cereus Sensu Lato Strains Isolated from Meat and Poultry Products in South Africa Enables Inter- and Intranational Surveillance and Source Tracking
Authors: Carroll Laura M. , Pierneef Rian , Mathole Aletta , Atanda Abimbola , Matle Itumeleng
Published: April 2022

Nationwide foodborne pathogen surveillance programs that use high-resolution genomic methods have been shown to provide vast public health and economic benefits. However,
Bacillus
cereus sensu lato
is often overlooked during large-scale routine WGS efforts.
Efficacy and Safety of Chinese Herbal Medicine for Endometriosis Associated Pain
Authors: Lin Yuezhen , Hou Ruijie , Zhang Tao , Chung Jacqueline Pui Wah , Wang Chi Chiu , Zhao Ruihua
Published: April 2022

Endometriosis is a chronic, estrogen-dependent condition that causes dysmenorrhea and pelvic pain. Chinese herbal medicine (CHM) has been used for endometriosis for many years in Asian populations. This is a retrospective study in a territory teaching hospital of the China Academy of Chinese Medical Sciences in Beijing, China to compare the short- and long-term effectiveness and safety of CHM for endometriosis associated pain (EAP) before and after CHM treatment. A total of 338 out of 1143 women confirmed with endometriosis by ultrasonogram or surgery within three months received a CHM decoction twice a day for at least 3 and up to 24 months. All data were collected by a Structured Medical Records of Endometriosis (SMRE) in every clinic visit covering the whole treatment period. Pain score, evaluated by Numeric Rating Scale, was significantly decreased from 3rd to 12th month in women with moderate or severe pain. Frequency and severity rating of menstrual symptoms, evaluated by Cox Menstrual Symptom Scale, were significantly decreased in women with any pain level. Psychological changes rated by Self-rating Anxiety Scale (SAS) were significantly lower in 3, 6, 12, and 24 months of treatment, but those by Self-rating Depression Scale (SDS) was significantly decreased in six months of treatment. There was no severe adverse event but only minor side-effects. In conclusion, our study showed that CHM relieved EAP and related symptoms with minimal side-effects after treatment. A large-scale randomized and placebo-controlled trial could be designed to confirm the efficacy and safety.
The reproductive biology of oviraptorosaurs: a synthesis
Authors: Yang Tzu-Ruei , Sander P. Martin
Published: April 2022

Among all of the dinosaurs, the Late Cretaceous oviraptorosaurs, in addition to troodontid dinosaurs, boast the best fossil records ranging from numerous eggs and embryos, seven clutch–adult associations, highly organized egg clutches, two gravid adults and possible colonial nesting grounds, to plenty of species described from skeletons from East Asia. These well-preserved fossils provided insights into the reproductive biology, ecology, behaviour and developmental biology of oviraptorid dinosaurs, contributing to several groundbreaking palaeontological discoveries in the last decade. Some of them received further support, while the others remain controversial, indicating that a comprehensive, rigorous re-examination using all available evidence is required. In a recent review, oviraptorosaurs were considered as an intermediate stage in moving towards the modern avian reproduction, whose reproductive biology can be inferred based on the avian model. With the new insights generated from the shell histology of several embryo-containing eggs and evidence from previous studies, this study offers a synthetic view of the reproductive biology of the Late Cretaceous oviraptorosaurs, illuminating the peculiar reproductive biology of oviraptorosaurs. In conclusion, oviraptorosaurs had an essentially unique reproductive biology lacking modern analogies. Thus, simply applying either avian or reptilian models to infer the biology of extinct animals appears inappropriate in the case of oviraptorosaurs.
Passages
Authors: Groce Alex
Published: April 2022

Charles Babbage's On the Economy of Machinery and Manufactures is good enough that it makes us regret that the great Babbage is not around to turn his eye to the modern software industry at large, or perhaps to open source development (Eghbal's Working in Public is a good book, but another such would not do anyone any harm).
Risks to the Public
Authors: Neumann Peter G.
Published: April 2022

Edited by PGN (Risks Forum Moderator, with contribu- tions by others as indicated. Opinions are individual rather than organizational, with usual disclaimers implied. We ad- dress problems relating to software, hardware, people, and other circumstances relevant to computer systems. Ref- erences (R i j) to the online Risks Forum denote RISKS vol i number j. Cited RISKS items generally identify contributors and sources, together with URLs. Official RISKS archives are available at www.risks.org, with nice html formatting and search engine courtesy of Lindsay Mar- shall at Newcastle:; http://catless.ncl.ac.uk/Risks/i.j.html (also ftp://www.sri.com/risks). CACM Inside Risks: http://www.csl.sri.com/neumann/insiderisks.html
Rapid Mixing from Spectral Independence beyond the Boolean Domain
Authors: Feng Weiming , Guo Heng , Yin Yitong , Zhang Chihao
Published: April 2022

We extend the notion of spectral independence (introduced by Anari, Liu, and Oveis Gharan [4]) from the Boolean domain to general discrete domains. This property characterises distributions with limited correlations and implies that the corresponding Glauber dynamics is rapidly mixing.

As a concrete application, we show that Glauber dynamics for sampling properq-colourings mixes in polynomial-time for the family of triangle-free graphs with maximum degree Δ providedq≥ (α*+δ)Δ whereα*≈ 1.763 is the unique solution toα*= exp (1/α*) andδÞ 0 is any constant. This is the first efficient algorithm for sampling properq-colourings in this regime with possibly unbounded Δ. Our main tool of establishing spectral independence is the recursive coupling by Goldberg, Martin, and Paterson [25].
The Philosopher's Corner
Authors: Niederman Fred
Published: April 2022

Bruno Latour is a key proponent of the Actor-Network Theory, which challenges many of the commonly held beliefs and practices in IS. Though there have been a few studies in IS using his approach, his thinking is deeper and richer than what has initially been explored. This essay highlights key issues raised by Latour and explains how they may provide insight and value for IS researchers.
Consumers' Mobile Health Adoption Intention Prediction Utilizing an Extended Version of The Theory of Planned Behavior
Authors: Arkorful Vincent Ekow , Shuliang Zhao , Lugu Benjamin Kweku , Jianxun Chu
Published: April 2022

The proliferation and adoption of phones and other emerging technologies in health care is significantly growing in Ghana. Though tapping into this technology innovation could tremendously improve health care in resource deficient settings, there is a dearth of research on adoption antecedents. Drawing strength from behavior studies anchored on the theory of planned behavior (TPB), our study proposed a model, and further sampled 386 respondents to predict mobile health adoption behavior. Empirical results of our study revealed that attitude, subjective norm, perceived behavior control, personal moral norm, and language all had a significant positive relationship with adoption intention. Furthermore, adoption intention was also revealed to have a significant positive relationship with behavior. And finally, Internet bandwidth was revealed to significantly moderate the relationship between adoption intention and actual adoption behavior. Based on the results, further insights for stakeholders and policy, implications for accelerating mobile health adoption, and suggestions for future research are subsequently delineated.
Measuring Women's Empowerment in the Global South
Authors: Desai Sonalde , Chen Feinian , Reddy Shilpa , McLaughlin Amy
Published: April 2022

Over the past two decades, we have seen an explosion in research on the topic of women's empowerment and its related dimensions, yet there remains much to be done in terms of clarifying conceptual pathways and best practices in measurement. This review traces the intellectual and historic context in which women's status and empowerment in lower- and middle-income countries have been measured, the conceptual and operationalization challenges in shaping research questions, the use of empirical measures and their connection to levels of social analysis, and the identification of emerging directions for future research. With the recognition that empowerment is as much a collective process as it is individual, we argue that a more integrative and multidisciplinary approach to empowerment is needed. This would require incorporating an intersectional lens, employing the life course approach, and tapping into diverse sources of data that can together strengthen future research.
Reproducibility in the Social Sciences
Authors: Moody James W. , Keister Lisa A. , Ramos Maria C.
Published: April 2022

Concern over social scientists’ inability to reproduce empirical research has spawned a vast and rapidly growing literature. The size and growth of this literature make it difficult for newly interested academics to come up to speed. Here, we provide a formal text modeling approach to characterize the entirety of the field, which allows us to summarize the breadth of this literature and identify core themes. We construct and analyze text networks built from 1,947 articles to reveal differences across social science disciplines within the body of reproducibility publications and to discuss the diversity of subtopics addressed in the literature. This field-wide view suggests that reproducibility is a heterogeneous problem with multiple sources for errors and strategies for solutions, a finding that is somewhat at odds with calls for largely passive remedies reliant on open science. We propose an alternative rigor and reproducibility model that takes an active approach to rigor prior to publication, which may overcome some of the shortfalls of the postpublication model.
Housing Insecurity Among the Poor Today
Authors: DeLuca Stefanie , Rosen Eva
Published: April 2022

Recent events have brought attention to the millions of Americans who struggle to find and pay for housing. Housing has historically been of interest to sociologists, but it has long been subsumed within research on crime, residential mobility, and neighborhoods. In the past decade, there has been a surge of scholarship in an emerging sociology of housing that focuses on housing insecurity, forced moves, landlords, shared housing arrangements, and the stratification effects of housing policy. While other fields typically define housing insecurity as affordability, this new literature shows how housing insecurity is not only rooted in financial constraints but also situated within social relationships that create or dissolve housing arrangements, and is exacerbated or remediated by supply-side institutions and policy. This work makes clear that housing insecurity is not a one-time discrete event but a dynamic process, and that sociologists can contribute not only to measuring housing insecurity but also to understanding the social forces that shape it.
Wetting and Inductivity in the Impedance Behavior of Large Lithium-Ion Cells
Authors: Günter F. J. , Keilhofer J. , Böhm V. , Daub R. , Reinhart G.
Published: April 2022

The wetting of the porous electrodes and the separator is crucial in the production of lithium-ion cells. Electrochemical impedance spectroscopy is able to measure and characterize the wetting. This paper p resents an equivalent circuit for commercial high-capacity cells and shows a method to analyze the wetting of these cells. The equivalent circuit includes an external inductance, a transmission line model (TLM) for the description of the pore impedance and, additionally, a TLM for the impedance of substrate foil inductance and contact resistance. Based on symmetric and full laboratory cells, the superposition of the impedance is discussed. Furthermore, the method to adjust the impedance and analyze the wetting is demonstrated on hard case cells with a capacity of 22 Ah. It is shown that, in addition to inductance for cables and electrode-external contacts, high-capacity lithium-ion cells build up inductance due to the electrode area in combination with the substrate foil. This inductance, together with the contact resistance, result in a characteristic hook in the Nyquist plot. A TLM describes and explains this behavior quite well. Additionally, the impedance of the cell is adjustable so that it corresponds to a laboratory cell in blocking conditions. Thus, the wetting of the separator and the wetting of the electrode become separately evaluable and calculable.
Thermogenic T cells: a cell therapy for obesity?
Authors: Beier Ulf H. , Baker Daniel J. , Baur Joseph A.
Published: April 2022

Obesity is a widespread public health problem with profound medical consequences and its burden is increasing worldwide. Obesity causes significant morbidity and mortality and is associated with conditions including cardiovascular disease and diabetes mellitus. Conventional treatment options are insufficient, or in the case of bariatric surgery, quite invasive. The etiology of obesity is complex, but at its core is often a caloric imbalance with an inability to burn off enough calories to exceed caloric intake, resulting in storage. Interventions such as dieting often lead to decreased resting energy expenditure (REE), with a rebound in weight (“yo-yo effect” or weight cycling). Strategies that increase REE are attractive treatment options. Brown fat tissue engages in nonshivering thermogenesis whereby mitochondrial respiration is uncoupled from ATP production, increasing REE. Medications that replicate brown fat metabolism by mitochondrial uncoupling (e.g., 2,4-dinitrophenol) effectively promote weight loss but are limited by toxicity to a narrow therapeutic range. This review explores the possibility of a new therapeutic approach to engineer autologous T cells into acquiring a thermogenic phenotype like brown fat. Engineered autologous T cells have been used successfully for years in the treatment of cancers (chimeric antigen receptor T cells), and the principle of engineering T cells ex vivo and transferring them back to the patient is established. Engineering T cells to acquire a brown fat-like metabolism could increase REE without the risks of pharmacological mitochondrial uncoupling. These thermogenic T cells may increase basal metabolic rate and are therefore a potentially novel therapeutic strategy for obesity.
The role of biglycan in the healthy and thoracic aneurysmal aorta
Authors: Meester Josephina A. N. , De Kinderen Pauline , Verstraeten Aline , Loeys Bart L.
Published: April 2022

The class I small leucine-rich proteoglycan biglycan is a crucial structural extracellular matrix component that interacts with a wide range of extracellular matrix molecules. In addition, biglycan is involved in sequestering growth factors such as transforming growth factor-β and bone morphogenetic proteins and thereby regulating pathway activity. Biglycan consists of a 42-kDa core protein linked to two glycosaminoglycan side chains and both are involved in protein interactions. Biglycan is encoded by the BGN gene located on the X-chromosome and is expressed in various tissues, including vascular tissue, skin, brain, kidney, lung, the immune system, and the musculoskeletal system. Although an increasing amount of data on the biological function of biglycan in the vasculature has been produced, its role in thoracic aortic aneurysms is still not fully elucidated. This review focuses on the role of biglycan in the healthy thoracic aorta and the development of thoracic aortic aneurysm and dissections in both mice and humans.
Emerging proteoglycans and proteoglycan-targeted therapies in rheumatoid arthritis
Authors: Hurysz Brianna , Bottini Nunzio
Published: April 2022

Rheumatoid arthritis (RA) is a common autoimmune disease that causes inflammation of the joints and damage to the cartilage and bone. The pathogenesis of RA is characterized in many patients by the presence of antibodies against citrullinated proteins. Proteoglycans are key structural elements of extracellular matrix in the joint articular cartilage and synovium and are secreted as lubricants in the synovial fluid. Alterations of proteoglycans contribute to RA pathogenesis. Proteoglycans such as aggrecan can be citrullinated and become potential targets of the rheumatoid autoimmune response. Proteoglycans are also upregulated in RA joints and/or undergo alterations of their regulatory functions over cytokines and chemokines, which promotes inflammation and bone damage. Recent studies have aimed to not only clarify these mechanisms but also develop novel proteoglycan-modulating therapeutics. These include agents altering the function and signaling of proteoglycans as well as tolerizing agents targeting citrullinated aggrecan. This mini-review summarizes the most recent findings regarding the dysregulation of proteoglycans that contributes to RA pathogenesis and the potential for proteoglycan-modulating agents to improve upon current RA therapy.
Disuse-induced skeletal muscle atrophy in disease and nondisease states in humans: mechanisms, prevention, and recovery strategies
Authors: Nunes Everson A. , Stokes Tanner , McKendry James , Currier Brad S. , Phillips Stuart M.
Published: April 2022

Decreased skeletal muscle contractile activity (disuse) or unloading leads to muscle mass loss, also known as muscle atrophy. The balance between muscle protein synthesis (MPS) and muscle protein breakdown (MPB) is the primary determinant of skeletal muscle mass. A reduced mechanical load on skeletal muscle is one of the main external factors leading to muscle atrophy. However, endocrine and inflammatory factors can act synergistically in catabolic states, amplifying the atrophy process and accelerating its progression. In addition, older individuals display aging-induced anabolic resistance, which can predispose this population to more pronounced effects when exposed to periods of reduced physical activity or mechanical unloading. Different cellular mechanisms contribute to the regulation of muscle protein balance during skeletal muscle atrophy. This review summarizes the effects of muscle disuse on muscle protein balance and the molecular mechanisms involved in muscle atrophy in the absence or presence of disease. Finally, a discussion of the current literature describing efficient strategies to prevent or improve the recovery from muscle atrophy is also presented.
Epigenetic fluctuations underlie gene expression timescales and variability
Authors: Lannan Ryan , Maity Alok , Wollman Roy
Published: April 2022

Isogenic populations of mammalian cells exhibit significant gene expression variability. This variability can be separated into two components. Variance arises from events specific to the transcribed gene (i.e., cis or allele-specific sources) and variance from events that impact many genes at once (i.e., trans and global processes). Furthermore, the activity of the different regulatory factors that influence gene expression fluctuates at different timescales. Fast timescales will result in rapid fluctuation of gene expression, whereas slow timescales will result in longer persistence of gene expression levels over time. Here, we investigated sources of gene expression that are intrinsic, i.e., coming from cis-regulatory factors and follow slow timescales. To do so, we developed a reporter system that isolates allele-specific variability and measures its persistence in imaging and long-term fluctuation analysis experiments. Our results identify a new source of gene expression variability that is allele-specific but that fluctuates on timescales of days. We hypothesized that allele-specific fluctuations of epigenetic regulatory factors are responsible for the newly discovered allele-specific and slow source of gene expression variability. Using mathematical modeling, we showed that adding this effect to the two-state model is sufficient to account for all empirical observations. Furthermore, using direct assays of chromatin markers, we find fluctuation in H3K4me3 levels that match the observed changes in gene expression levels providing direct experimental support of our model. Collectively, our work shows that slow fluctuations of regulatory chromatin modifications contribute to the variability in gene expression.
The Study Based on Intelligent Big Data Technology for Water Resources Audit
Authors: Wang Yuhui
Published: April 2022

The fast progress of science and technology has given immense ease to our lives, but it is also steadily destroying the environment in which we live. Environmental auditing was developed to safeguard the Earth we rely on for our existence, and subsequently, sustainable development was introduced to protect the planet we rely on for survival. Even though the quality of the natural environment is continuously increasing, it should not be taken for granted at this time. Therefore, in this paper, we study water resources auditing and sustainable development technologies based on AI-based big data. Specifically, we use an AI-based big data approach to construct the audit indicators of water resources and summarize the sustainable development technology of water resources. Finally, the proposed approach is used for case implementation. The experimental result shows that the BOD removal rate is about 95%, and the removal process is basically the same as removing COD.
An Improved Secure Public Cloud Auditing Scheme in Edge Computing
Authors: Yi Zhengge , Wei Lixian , Yang Haibin , Wang Xu An , Yuan Wenyong , Li Ruifeng
Published: April 2022

Cloud storage plays an important role in the data processing of edge computing. It is very necessary to protect the integrity of these data and the privacy of users. Recently, a cloud auditing scheme which can be used to smart cities has been proposed, which is lightweight and privacy-preserving. Although this scheme has very good performance and is a very valuable work, we find that there is insecurity in it. By giving two kinds of attacks, we prove that a malicious cloud server provider (CSP) can forge auditing proof and can successfully pass the verification of the third-party auditor (TPA) even if the CSP deletes the user’s data. Then, based on this scheme, we propose an improved scheme, which can resist the forgery attack from malicious CSP. Through security analysis, our scheme improves the security compared to the original scheme without reducing the efficiency.
Protective Effect of Melatonin on Nonylphenol-Induced Reproductive and Behavioral Disorders in First-Generation Adult Male Rats
Authors: Tavakoli Mahsa , Moghadamnia Ali Akbar , Pourabdolhossein Fereshteh , Asghari Mohammad Hossein , Kazemi Sohrab
Published: April 2022

Background and Objective. Nonylphenol (NP), as an environmental pollutant, has adverse effects on the reproductive and nervous systems through disrupting the endocrine system and inducing oxidative stress. This study was aimed at investigating the protective effect of melatonin (MLT) on NP-induced reproductive and behavioral disorders in first-generation adult male rats. Methods. Pregnant Wistar rats were randomly assigned into five groups: control, NP (25 mg/kg), NP (25 mg/kg)+MLT (10 mg/kg), NP (25 mg/kg)+MLT (20 mg/kg), and MLT (20 mg/kg). The duration of treatment was 21 days from gestation time. Morris water maze was used to assess learning and memory. NP concentrations of serum and testicular tissue were measured by HPLC. Histological analysis of testicular tissues was done by H&E staining. Results. Behavioral study showed that NP does not impair learning and memory in first-generation rats. Histomorphometric results showed that NP can significantly reduce the cross-sectional area of the seminiferous tubules and the epithelium, the diameter and number of seminiferous tubules, the thickness of the epithelium, and the number of spermatocytes and spermatogonia compared to other groups. MLT reversed the NP-induced histomorphometric. Also, it changes and increased the activity of superoxide dismutase (SOD), total antioxidant capacity (TAC), and catalase (CAT). The level of malondialdehyde (MDA) significantly decreased in MLT-treated groups compared with the NP group. Conclusion. Our finding showed that MLT enhanced the learning process and reduced NP-induced testicular tissue damage through its antioxidants and cytoprotective effects.
Effects of Acupuncture and Rehabilitation Training on Limb Movement and Living Ability of Patients with Hemiplegia after Stroke
Authors: Zhang Juhua , Mu Yingmei , Zhang Yunxia
Published: April 2022

Stroke is a disease with a high disability rate, having a serious impact on that patient’s working and daily survival quality and bringing economic burden to the family and society. Patients with stroke hemiplegia are mostly tetraplegic and have difficulty regulating their balance, and their long-term symmetry has been destroyed. The application in the rehabilitation process of acupuncture in patients with hemorrhagic stroke may produce unexpected effects. It is very effective to study the effect of acupuncture combined with rehabilitation training on limb movement and patient survival. It is very helpful in improving normal motor function and normal life, increasing joint mobility and muscle strength, and reducing muscle tension. In this paper, it is found that the observational group has a complication rate of 2.13%, in contrast to 17.02% as in the group of control, and the pin-prick combined with a rehabilitative training makes a significant improvement to the patients. This study provides suggestions for the study to investigate acupuncture combined with recovery exercise on limb movement and living capacities of people with stroke paraparesis.
Safety and Effectiveness of Inhaling Different Dosage Recombinant Human Interferon α1B for Bronchiolitis in Children: a Systematic Review and Meta-Analysis
Authors: Luo Jiefeng , Yang Mengting , Zeng Linan , Pan Xiangcheng , Liu Dan , Diao Sha , Huang Liang , Chen Ting , Jia Zhi-Jun , Cheng Guo , Yu Qin , Zhang Lingli
Published: April 2022

Purpose. To systematically evaluate the safety and effectiveness of different dosages of recombinant human interferon α1b (IFNα1b) inhaled for bronchiolitis in children. Methods. 7 databases, including PubMed, EMBASE, Cochrane Library, Web of Science, CNKI, Wanfang Database, and VIP, were searched. The search time was from their inception dates to March 28, 2022. A randomized controlled trial (RCT) of 2 μg/kg IFNα1b (low dosage group) monotherapy or in combination with other drugs vs. 4 μg/kg IFNα1b (high dosage group) monotherapy or in combination with the other drugs was included. The risk of bias 2.0 evaluated the RCT’s quality, and the grading of recommendations assessment, development and evaluation (GRADE) tool was used for evaluating the overall quality of the evidence. Then, a meta-analysis was performed by RevMan 5.4. Results. A total of 13 RCTs with 1719 children were included. The meta-analysis results showed that the high dosage group was significantly shorter than the low dosage group of the duration of hospital stays (MD = −0.40, 95%CI (−0.73, −0.07),

P

 = 0.02) (low quality), three depressions sign disappearing time (MD = −0.60, 95%CI (−1.05, −0.14),

P

 = 0.010) (low quality), and wheeze disappearing time (MD = −0.62, 95%CI (−1.17, −0.06),  = 0.03) (low quality). There was no significant difference between the two groups in coughing disappearing time, pulmonary rales disappearing time, wheezing sound disappearing time, or adverse event rates. Conclusions. Compared with low dosage IFNα1b, high dosage IFNα1b reduces the duration of hospital stays, the disappearance time of the three depression signs, and the disappearance time of wheeze in the treatment of bronchiolitis in children. Limited by the low quality of the evidence, the conclusions still need to be supported by high-quality studies.
A Blockchain-Based Verifiable User Data Access Control Policy for Secured Cloud Data Storage
Authors: LI Xinlong
Published: April 2022

Adding the adequate level of security of information systems dealing with sensitive data, privacy, or defense systems involves some form of access control. The audits performed are dealing with the determination of the allowed activities of the legal users, when attempting to access resources of the system. Usually, full access is provided after the user has been successfully authenticated through an authentication mechanism (e.g., password), while the corresponding authorization control is based on the confidentiality level of the respective resources and the authorization level assigned to each user. A very important diversification occurring in modern digital technologies is related to the identification based on blockchain technology, which is presented as a public, distributed data series, unable to modify its history and grouped in time-numbered blocks. In this work, a blockchain-based verifiable user data access control policy for secured cloud data storage is suggested for a version associated with big data in health care. It is an innovative system of applying classified access policies to secure resources in the cloud, which operates based on blockchain technology. System evaluation is carried out by studying a case in its resilience to Eclipse attack under different malicious user capabilities for routing table poisoning.
High-Performance Computational Recognition of Communication Signals Based on Bispectral Quadratic Feature Model
Authors: Chen Yarong , Zhu Rui , Guo Jianxin , Wang Feng
Published: April 2022

In response to the problems in the signal identification of radiation sources during the communication process, the bispectral quadratic feature model is applied to the identification algorithm for communication signals. According to the signal eigenvalues obtained from the bispectrum of the diagonal slices in the radiation source signals, the eigenvalues of the bispectrum diagonal slices can be extended from the frequency domain to the complex plane through the chirp-z operation in this paper, and the relevant data are obtained based on the bispectrum quadratic feature model of the signals by using the separation rules corresponding to the extended Babbitt distance. The bispectral quadratic feature model method is used to establish a sparse observation model, and the communication signal processing problem can be transformed into an estimation problem of signal motion parameters through the construction of a parametric database. At the same time, the high-resolution distance of communication signals is tested, and the communication signals are estimated by using the variational inference method. Finally, practical cases are analyzed, and the results indicate that the algorithm proposed in this paper can be used to identify different types of communication signals in accordance with simulated and measured data in the processing of communication signals in various environments, which has the certain anti-interference capacity to noise, can improve the identification rate of communication signals, and has verified the effectiveness and practicality of the algorithm proposed in this paper.
Changes in IL-16 Expression in the Ovary during Aging and Its Potential Consequences to Ovarian Pathology
Authors: Ramirez Jessica , Bitterman Pincas , Basu Sanjib , Barua Animesh
Published: April 2022

Aging in females is not only associated with the changes in hormonal status but is also responsible for dysregulation of immune functions in various organs including ovaries. The goal of this study was to determine whether the expression of interleukin 16 (IL-16), a proinflammatory and chemoattractant cytokine, changes during ovarian aging, to determine factors involved in such changes in IL-16 expression, and to examine if changes in IL-16 expression during aging predisposes the ovary to pathologies. Ovarian tissues from premenopausal women (30-50 years old), women at early menopause (55-59 years old), and late menopause (60-85 years old) were used. In addition, tumor tissues from patients with ovarian high-grade serous carcinoma at early stage (

n
=
5

) were also used as reference tissue for comparing the expression of several selected markers in aging ovaries. The expression of IL-16, frequency of macrophages (a source of IL-16) and expression of microRNA (miR) 125a-5p (a regulator of IL-16 gene) were performed by immunohistochemistry, immunoblotting, and gene expression assays. In addition, we examined changes in nuclear expression of IL-16 expression with regards to exposure to follicle-stimulating hormone (FSH) by in vitro cell culture assays with human ovarian cancer cells. The frequencies of IL-16 expressing cells were significantly higher in ovarian stroma in women at early and late menopause as compared with premenopausal women (

P
<
0.0001

). Similar patterns were also observed for macrophages. Expression of miR-125a-5p decreased significantly (

P
<
0.001

) with the increase in IL-16 expression during aging. Furthermore, expression of nuclear IL-16 increased remarkably upon exposure to FSH. Consequently, ovarian aging is associated with increased expression of IL-16 including its nuclear fraction. Therefore, persistent high levels of FSH in postmenopausal women may be a factor for enhanced expression of IL-16. Effects of increased nuclear fraction of IL-16 need to be examined.
Forecasting Renminbi Exchange Rate Volatility Using CARR‐MIDAS Model
Authors: Wu Xinyu , Wu Mengqi
Published: April 2022

In this study, we propose to employ the conditional autoregressive range‐mixed‐data sampling (CARR‐MIDAS) model to model and forecast the renminbi exchange rate volatility. The CARR‐MIDAS model exploits intraday information from the intraday high and low prices, which has the capacity to capture the high persistence of conditional range (volatility). The empirical results show that the range‐based CARR‐MIDAS model provides more accurate out‐of‐sample forecasts of the renminbi exchange rate volatility compared to the return‐based GARCH and GARCH‐MIDAS models and the range‐based CARR model for forecast horizons of 1 day up to 3 months. In addition, the superior predictive ability of the CARR‐MIDAS model is robust to different forecast windows. Hence, our CARR‐MIDAS model provides a promising tool for forecasting the renminbi exchange rate volatility.
Renal Doppler Ultrasound in the Evaluation of Renal Function in Patients with Sepsis
Authors: Yu Aili , Zhao Qiuhong , Qu Yimeng , Liu Guohua
Published: April 2022

This study was aimed to explore the renal Doppler ultrasound in the evaluation of renal function in patients with sepsis. Fifty patients with sepsis or septic shock were classified into the acute kidney injury (AKI) group (n =25) and the non-AKI group (n =25) according to whether they had AKI. The measurements of renal resistance index (RRI) and power Doppler ultrasound (PDU) were performed on all patients within 7 days of admission to the intensive care unit (ICU). The patient’s renal function was assessed. The results showed that the RRI of the two groups showed a slight upward trend over time, and the RRI of the AKI group was higher than that of the non-AKI group. After 7 days in AKI group, the areas under the receiver operating characteristic (ROC) curves of RRI were 0.745, 0.683, 0.729, 0.856, 0.793, 0.819, and 0.836 (P <0.05). There were no statistically considerable differences in areas under ROC curves between the two groups (P >0.05). The grouping of AKI and the time were both fixed effects, and the individual patients were randomized effects. Besides, the linear models were statistically analyzed. The results showed that the differences between the two groups were statistically insignificant (P >0.05). There was no significant difference in the PDU scores measured at different times within 7 days after ICU admission between the two groups (P >0.05). In conclusion, renal Doppler ultrasound had a good adoption effect in the evaluation of the renal function of patients with severe sepsis, which is worth promoting in clinical practice.
Cesaŕo Summable Relative Uniform Difference Sequence of Positive Linear Functions
Authors: Bakery Awad A. , Mohamed O. M. Kalthum S. K. , Devi Kshetrimayum Renubebeta , Tripathy Binod Chandra
Published: April 2022

In this article, we introduce the class of sequence of functions

C

1

Δ
,
r
u

of Cesaŕo summable relative uniform difference sequence of functions. We have studied the topological properties of

C

1

Δ
,
r
u

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Memory-Efficient Algorithm for Scalar Multiplications on Twisted Edwards Curves for Isogeny-Based Cryptosystems
Authors: Eom Sookyung , Lee Hyang-Sook , Song Kyunghwan
Published: April 2022

Scalar multiplications are considered an essential aspect of implementations of isogeny-based cryptography. The efficiency of scalar multiplication depends on the equation of the underlying elliptic curves and the addition chain employed. Bos and Friedberger recently stated that, for larger scalar multiplication, addition-subtraction chains will become more useful for twisted Edwards curves because of the differential restriction on Montgomery curves in the setting of isogeny-based cryptosystem. Motivated by these comments, we attempt to increase the efficiency of scalar multiplication in twisted Edwards curves in terms of the memory of algorithms. In this paper, we present a double-base addition-subtraction chain algorithm with memory efficiency for scalar multiplication. The memory usage of this part is

O

log
n

2

/

log
log
n

, which is better than the result of the tree-based approach, which is

O

log
n

2

.
An Enhanced Intrusion Detection System for IoT Networks Based on Deep Learning and Knowledge Graph
Authors: Yang Xiuzhang , Peng Guojun , Zhang Dongni , Lv Yangqi
Published: April 2022

Nowadays, the intrusion detection system (IDS) plays a crucial role in the Internet of Things (IoT) networks, which could effectively protect sensitive data from various attacks. However, the existing works have not considered multiview features fusion and failed to capture the semantic relationships among the anomalous requests. They are not robust and cannot detect the attack types in real-time. This paper proposes a lightweight intrusion detection system based on deep learning and knowledge graph. First, our system extracts semantic relationships and key features by knowledge graph and statistical analysis. Then, IoT network requests are converted into word vectors through multiview feature fusion and feature alignment. Finally, an attention-based CNN-BiLSTM model is designed to identify malicious request attacks, which can capture long-distance dependence and contextual semantic information. Experiment results show that the proposed model significantly outperforms the existing solution in the robustness of the model. Moreover, it can select more critical features for IDS to achieve better accuracy and lower the false alarm rate. Compared with the state-of-the-art systems, the proposed IDS achieves a higher detection accuracy of 90.01%. In addition, our system can detect various stealthy attack types (including DoS, Probe, R2L, and U2L) and extract semantic relationships among features.
E-Commerce Online Shopping Platform Recommendation Model Based on Integrated Personalized Recommendation
Authors: Xu Lijuan , Sang Xiaokun
Published: April 2022

With the continuous innovation of Internet technology and the substantial improvement of network basic conditions, e-commerce has developed rapidly. Online shopping has become the mainstream mode of e-commerce. In order to solve the problem of information overload and information loss in the selection of e-commerce online shopping platform, a personalized recommendation system using information filtering technology has come into being. An e-commerce online shopping platform recommendation model is proposed based on integrated multiple personalized recommendation algorithms: random forest, gradient boosting decision tree, and eXtreme gradient boosting. The proposed model is tested on the public data set. The experimental results of the separate model and mixed model are compared and analyzed. The results show that the proposed model reduces the recommendation sparsity and improves the recommendation accuracy.
[Retracted] On the Temperature Indices of Molecular Structures of Some Networks
Authors: Jahanbani Akbar , Khoeilar Rana , Cancan Murat
Published: April 2022

The topological index is a molecular predictor that is commonly supported in the research of QSAR of pharmaceuticals to numerically quantify their molecular features. Theoretical and statistical study of drug‐like compounds improves the drug design and finding work‐flow by rationalizing lead detection, instant decision, and mechanism of action comprehension. Using molecular structure characterization and edge segmentation technique, we computed the general temperature topological indices for OTIS networks.
Building Construction Artisans’ Level of Access to Personal Protective Equipment (PPE) and the Perceived Barriers and Motivating Factors of Adherence to Its Use
Authors: Boakye Maxwell Kwame , Adanu Selase Kofi , Coffie George Harrison , Adzivor Eric Kwadzo , Ayimah John Coker
Published: April 2022

Background. Employers are required to supply personal protective equipment (PPE) to all employees in Ghana, and employees are required to wear the PPE provided. In Ghana, previous studies on health and safety in the construction industry that touched on PPE use did not explicitly demonstrate the reasons why many workers choose to use or not to use it, though they may be at risk of occupational hazards. The purpose of this study was to determine building construction artisans’ level of access to PPE and the perceived barriers and motivating factors of adherence to its use. The contribution of this study lies in its examination of the perceived barriers and motivating factors underlying adherence and nonadherence to PPE use in the construction industry, particularly building construction, which is yet to be determined in Ghana. Method. Data was collected from 173 frontline building construction workers using a structured questionnaire. The data was analyzed using a two‐way multivariate analysis of variance (MANOVA) and one‐way analysis of variance (ANOVA) to examine the effects of demographic variables on the perceived barrier and motivating factors of adherence to PPE use. Results. The most common PPE that participants had access to was safety boots/shoes, with their main source being borrowing from colleagues. The majority of participants disagreed with the perceived barriers while agreeing with the motivating factors of adherence to PPE use. The results suggest statistically significant differences for years of working experience (Wilks = 0.77, F = 2.47; p ≤ 0.01) and form of employment (Wilks = 0.72, F = 3.25, p ≤ 0.01) for perceived barriers to adherence. For perceived motivating factors to adherence, significant differences were obtained for age group (Wilks = 0.84, F = 2.42, p ≤ 0.01), years of experience (Wilks = 0.85, F = 2.35, p ≤ 0.01), and form of employment (Wilks = 0.71, F = 5.22, p ≤ 0.01). Conclusion. Age groups, years of experience, and form of employment were the main factors mediating adherence and nonadherence to PPE use by the construction workers. This study recommends safety training for workers if good safety management and performance concerning PPE use are to be achieved.
Application Value of Color Doppler Ultrasonography Combined with Thyroid Autoantibody Tests in Early Diagnosis of Thyroid Cancer
Authors: Song Danlin , Dong Fajin , Zheng Jing , Luo Hui , Wei Jinxi
Published: April 2022

Objective. To explore the application value of color Doppler ultrasonography combined with thyroid autoantibody tests in the early diagnosis of thyroid cancer. Methods. The medical data of 100 patients with thyroid nodules treated in our hospital from June 2019 to June 2021 were retrospectively analyzed; all patients received color Doppler ultrasonography and thyroid autoantibody tests before surgery and were divided into the benign lesion group (

n
=
45

) and the malignant lesion group (

n
=
55

) according to the postoperative pathological findings (the gold standard), so as to compare and analyze the application value of color Doppler ultrasonography, thyroid autoantibody tests, and their combination in the early diagnosis of thyroid cancer. Results. Compared with the pathological findings, the accuracy rate, sensitivity, specificity, positive predictive value, and negative predictive value of the combined diagnosis were significantly higher than those in the single diagnosis of color Doppler ultrasonography, TgAb test, TPOAb test, and TRAb test (

P
<
0.05

), and by plotting the ROC curves to analyze the effect of these modalities in diagnosing early thyroid diseases, the results showed that the areas under the curve from large to small were combined diagnosis, color Doppler ultrasonography, TgAb test, TPOAb test, and TRAb test. Conclusion. Color Doppler ultrasonography has many advantages in the diagnosis of thyroid nodules, such as easy operation, painlessness, noninvasiveness, high efficiency, and repeatable detection, and the high-definition probe is able to show tiny lesions, echogenicity, blood flow signal, and other characteristics of foci. Combining color Doppler ultrasonography with testing thyroid autoantibodies such as TgAb, TPOAb, and TRAb can effectively improve the detection rate of early thyroid cancer, presenting significant reference value and meaning to clinical diagnosis and treatment of thyroid cancer.