bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bipolar Fuzzy PROMETHEE‐based Decision‐Making Trust Model for guaranteeing data dissemination reliability in Internet of Things
Authors: Duraisamy Vendhan , Amalraj Miruna Joe Amali Suthanthira , Ramaiah Alageswaran 
Published: August 2022

SummaryInternet of Things (IoT) is the rapidly growing domain that facilitates seamless connectivity to physical objects that makes them suitable and ideal entity of smart environment. The enforcement of trust between the physical objects is essential for completely utilizing the significant potentiality of these connected IoT objects. The traditional security strategies are not potent enough in provisioning comprehensive protection to the smart world. In this paper, Bipolar Fuzzy PROMETHEE‐based Decision‐Making Trust Model (BFPSMTM) is proposed for determining the outranking class that aids in superior trust estimation of interconnected IoT objects to guarantee reliable data dissemination. This BFPSMTM adopted different preference functions depending on the nature and type of criteria or attributes considered for evaluating the trust of the IoT objects during data dissemination. It utilized bipolar fuzzy number for assessing trust that represents an asymmetrical associated between the different judgmental factors considered for decision making. It represented the bipolar linguistic terms into trapezoidal bipolar fuzzy numbers to handle the issue of imprecise and vague knowledge during trust computation. It utilized a trapezoidal bipolar fuzzy number‐based ranking function and identified the crisp real preferences of trusted IoT objects during data dissemination. It incorporated an entropy weighting information and computed the attribute weights based on the normality condition to prevent bias during trust estimation. The results of BFPSMTM confirmed improved throughput of 22.18%, reduced delay of 20.86%, minimized energy consumption of 19.32%, and better packet forwarding rate of 19.84%, with different number of IoT objects in the environment.
Structural characterization of functional peptides by extending the hybrid orbital theory
Authors: Zhong Jun , Ren Jiaoyan 
Published: August 2022

AbstractIn recent years, food‐derived functional peptides have received more and more attention because of their low toxicity, which is different from drugs. This study was based on the theory that hybrid orbitals play an important role in chemical reactions. While preserving the original physical information, a descriptor called hybrid orbitals and atomic characteristics was designed to explore the relationship between hybrid orbitals, electronegative atoms, and the function of food‐derived peptides. The classification effects of support vector machines and K‐nearest neighbor are compared and selected by machine learning KNN algorithm to predict the function of food‐derived functional peptides, including inhibitors of angiotensin‐converting enzyme and dipeptidyl peptidase IV, antioxidant peptides, and antibacterial peptides, the accuracy of prediction and the area under curve value were about 0.8. Comparing the result of using hybrid orbital and electronegative atoms to predict the function of peptides, respectively, it was found that the hybrid orbital is more closely related to the function of the peptide. This study revealed that the application of hybrid orbital theory to the research of food‐derived peptides is of positive significance.
RETRACTED: Multi‐objective metaheuristic optimization‐based clustering with network slicing technique for Internet of Things‐enabled wireless sensor networks in 5G systems
Authors: Sheena B. Gracelin , Snehalatha N. 
Published: August 2022

AbstractPresently, 5G communication networks have become successful in achieving maximum data rage, and different Internet of Things (IoT) and wireless sensor networks (WSN) have been employed for data collection in 5G networks. Since IoT‐enabled WSN are considered as the major supporting technology for 5G networks, energy efficiency and network slicing remain challenging issues. This study designs a novel multi‐objective improved seagull optimization‐based clustering with network slicing (MOISGO‐CNS) technique for IoT‐enabled WSN in 5G Systems. The goal of the MOISGO‐CNS technique is to construct clusters to accomplish energy efficiency and perform network slicing to balance load in 5G systems. The MOISGO‐CNS technique encompasses two major stages namely ISGO‐based clustering and IGSO with bidirectional long short‐term memory (BiLSTM) based network slicing. The IGSO‐based clustering technique derives a fitness function involving three parameters namely two‐hop connectivity ratio (2‐HCR), remaining energy, and link quality. Besides, the network slicing process includes the design of ISGO algorithm to optimally select the hyperparameters and attain maximum slicing classification performance. A wide range of experiments was carried out and the obtained results demonstrate the supremacy of the MOISGO‐CNS technique over the recent approaches. From experimental results the proposed model attained 95.261% of accuracy, 7.89 ms of End‐to‐End Delay, 14.80% of Packet Loss Ratio, and 85.20% of Packet Delivery Ratio.
Timing estimation of multiple hyperbolic frequency‐modulated signals based on multicarrier underwater acoustic communication
Authors: Cui Xuerong , Yan Peihao , Li Juan , Zhang Hao , Li Shibao , Liu Jianhang 
Published: August 2022

AbstractUnderwater acoustic channel is much more complex than radio channel. Background noise, multipath extension, and Doppler frequency shift are all factors that affect high‐speed and stability for underwater communication. Orthogonal frequency division multiplexing (OFDM) is a modulation technology with high spectrum efficiency and strong anti‐multipath ability, usually used in high‐speed underwater acoustic communication. Signal arrival time detection and timing estimation before receiving data is an essential module in an underwater communication system. Timing estimation error will seriously affect the demodulation of the signal. In order to solve the problem of a complex channel environment in underwater acoustic communication system, a timing estimation method is proposed based on multiple hyperbolic frequency‐modulated (MHFM) signals. In order to improve the performance of underwater acoustic communication systems, this article proposes an iterative method of correlation‐sum‐mean absolute error (MAE) based on hyperbolic frequency‐modulated (HFM). The simulation results show that the proposed method can provide better performance and higher timing estimation accuracy under the conditions of low signal‐to‐noise ratio (SNR) and Doppler effect under oceanic noise channel and Doppler spread channel.
Obstetric Violence: An Intersectional Refraction through Abolition Feminism
Authors: van der Waal Rodante , Mayra Kaveri , Horn Anna , Chadwick Rachelle 
Published: August 2022

AbstractObstetric violence, a term coined by activists in Latin America to describe violence during pregnancy, childbirth, and postpartum, is a controversial feminist term in global health policymaking as well as in obstetric and midwifery practice and research. We reflect on the term both theoretically and autoethnographically to demonstrate its feminist value in addressing the problem of violence as embedded within the obstetric institution.We argue that obstetric violence as an activist and critical feminist concept can only be effective for change when it is clearly understood as institutionalized intersectional violence. Therefore, we propose an abolitionist framework for further study. Through this lens, we refract the concept of obstetric violence as institutionalized, intersectional, and racializing violence by (1) making an abolitionist historiography of the obstetric institution, and (2) centering anti‐Black obstetric racism as the anchor point of obstetric violence, where the afterlife of slavery, racial capitalism, the impact of systemic racism, and the consequences of patriarchal biopolitics come together.Abolition provides a unique approach to study obstetric violence since it not only refuses and dismantles violent institutions, but specifically focuses on building futures out of existing alternative practices toward a life‐affirming world of care. We locate the abolitionist futures of maternity care in Black, Indigenous, and independent doula and midwifery practices.
Ourselves, with Dementia
Authors: Dresser Rebecca 
Published: August 2022

AbstractFear of dementia leads some people to demand an opportunity to choose death over life with the illness. They want the power to make advance euthanasia directives and to refuse hand feeding at some point in the dementia process. But the choices we make in advance aren't always suited to the people we become. Experts and family members say people with dementia often adapt, becoming content with their lives. People should care about their future selves with dementia. Their advance instructions about dementia care should give others freedom to respond to the up‐to‐date information required for good medical decision‐making.
Ethics of a Mandatory Waiting Period for Female Sterilization
Authors: Amalraj Jessica , Arora Kavita Shah 
Published: August 2022

AbstractDue to a history of coerced sterilization, a federal Medicaid sterilization policy mandates that a specific consent form be signed by a patient at least thirty days prior to when the patient undergoes sterilization. However, in contemporary obstetrical practice, the Medicaid sterilization policy serves as a policy‐level barrier to autonomously desired care. We review the clinical and ethical implications of the current Medicaid sterilization policy. After discussing the utility and impact of waiting periods for other surgical procedures, we explore the psychology of time required for decision‐making and consider scientific understanding of regret. We argue that the current Medicaid sterilization waiting period is clinically and ethically unjustifiable and that the policy ought to be revised in light of the goals, preferences, and concerns of the people most affected by it. While the need for continued protection against coercion remains, the current mandated waiting period does little to enforce the high‐quality shared decision‐making that is desired for sterilization counseling.
Neuropsychiatric symptoms associated multimodal brain networks in Alzheimer's disease
Authors: Li Kaicheng , Zeng Qingze , Luo Xiao , Qi Shile , Xu Xiaopei , Fu Zening , Hong Luwei , Liu Xiaocao , Li Zheyu , Fu Yanv , Chen Yanxing , Liu Zhirong , Calhoun Vince D. , Huang Peiyu , Zhang Minming 
Published: August 2022

AbstractConcomitant neuropsychiatric symptoms (NPS) are associated with accelerated Alzheimer's disease (AD) progression. Identifying multimodal brain imaging patterns associated with NPS may help understand pathophysiology correlates AD. Based on the AD continuum, a supervised learning strategy was used to guide four‐way multimodal neuroimaging fusion (Amyloid, Tau, gray matter volume, brain function) by using NPS total score as the reference. Loadings of the identified multimodal patterns were compared across the AD continuum. Then, regression analyses were performed to investigate its predictability of longitudinal cognition performance. Furthermore, the fusion analysis was repeated in the four NPS subsyndromes. Here, an NPS‐associated pathological–structural–functional covaried pattern was observed in the frontal‐subcortical limbic circuit, occipital, and sensor‐motor region. Loading of this multimodal pattern showed a progressive increase with the development of AD. The pattern significantly correlates with multiple cognitive domains and could also predict longitudinal cognitive decline. Notably, repeated fusion analysis using subsyndromes as references identified similar patterns with some unique variations associated with different syndromes. Conclusively, NPS was associated with a multimodal imaging pattern involving complex neuropathologies, which could effectively predict longitudinal cognitive decline. These results highlight the possible neural substrate of NPS in AD, which may provide guidance for clinical management.
Liquidity constraints, cash transfers and the demand for health care in the Covid‐19 pandemic
Authors: Belchior Carlos Alberto , Gomes Yara 
Published: August 2022

AbstractThis paper proposes the hypothesis that liquidity constraints may delay or even prevent sick individuals from seeking medical help. If this is the case, a cash transfer can directly increase the demand for medical care. We evaluated this hypothesis empirically in the context of the implementation of Emergency Aid (EA), a large‐scale cash transfer program in Brazil, during the Covid‐19 pandemic. We used the program's implementation calendar along with a Regression Discontinuity in Time to assess the causal effects of EA on the search for the health system. Consistent with our hypothesis, we estimate that the transfer immediately decreased the time to search for the health system by 14% and increased COVID‐19 hospitalizations by 0.015%.
Spectral quasilinearization method for Sisko nanofluid past a stretching cylinder with activation energy and entropy generation effects subject to variable thermal conductivity
Authors: Samanta Anjan , Mondal Hiranmoy 
Published: August 2022

AbstractThis article focuses on how activation energy and entropy generation affect the parameters involved in Sisko nanofluid with the presence of a stretching cylinder. Spectral quasilinearization method is applied to solve the ordinary differential equations representing the flow equations to have a highly accurate solution. Furthermore, all the parameters involved are graphically analyzed to see the behavior of velocity, temperature, and concentration behavior under different circumstances. With the increment of heat generation parameter, Sisko nanofluid shows an increasing nature in concentration unlike base fluids. Thermophoresis and Brownian motion effects are observed to be different than usual, especially in nearby wall zones due to activation energy and entropy terms being introduced on a stretching cylinder medium.
A comparative performance and emission investigation CI engine fuelled with neem oil esters with varying engine compression ratios
Authors: Srinidhi Campli , Jawale Mayur , Utikar Vedant , Jadhav Shraddha , Acharya Madhusudhan , Arakerimath Rachayya , Hole Jitendra A. , Channapattana Shylesh V. 
Published: August 2022

AbstractThe current exploration of alternative fuels to conventional engines is tested on two fronts: the thermophysical property assessment and the other, real‐time evaluation using engine testing using the fuel. The engine testing fueled with modified oils/esterified blends does give real‐time analysis but at the cost of harmful emissions dumped into the polluted environment. The current work describes the use of possible simulations and the validity of simulation confirmed from real‐time experimentation at varying engine compression ratios (CRs). Engine parameters were kept the same for simulations that were performed on the Diesel RK module and experimental analysis. Neem oil blends were prepared and tested for the composition of FFA and later the required properties were supplemented to software for possible thermal performance and emission detections. The thermal efficiency deviation observed between RK model and experimental values for CR 18 for Diesel, B20, B40, and B100 was 5.8%, 1.9%, 3.4%, and 2.1%, respectively, and for NOx, the deviation observed for Diesel, B20, B40, and B100 was 8.9% and 13.7%, 12.2% and 14.1%, and 9.4% and 11.1%, respectively. The peak HRR and cylinder pressures observed for software simulations and real‐time experimental approaches did not vary much, but the peak values do differ by 6.7% and 4.7%, respectively.
An experimental investigation of a desalination system based on an evacuated tube collector coupled with a heat exchanger
Authors: Tiwari Abhishek , Agrawal Anshu , Kumar Amit 
Published: August 2022

AbstractAccording to the report published on global water stress, the world will face a huge water crisis by 2040, due to continuous decay of freshwater resources and an increasing population of human beings. To fulfill this increasing demand for freshwater, we need to find a new source. As the sea contains most of the water available on earth, desalination of sea water can be a solution. Furthermore, the use of solar energy for desalination process can make it a sustainable solution. This is why it is very important to work on solar thermal desalination system. In recent years, a lot of research has been reported on solar still integrated with evacuated tube collector (ETC) to improve its efficiency and productivity. But the problem of salt deposition in evacuated tubes was very common in these systems. So in the present work, a new solar thermal desalination system based on ETC is developed. In the present system, ETC is integrated with a storage tank, which further has a heat exchanger. Therminol 55 is used as a working fluid, which transfers heat from ETC to saline water. System performance is evaluated in terms of productivity, energy efficiency, exergy efficiency and economic feasibility. The productivity of the system is 4.2 L/m2/day. The average energy efficiency delivered by the system is 43.92% and average exergy efficiency to be 9.53%. The maximum mass flow rate of thermic fluid is 0.003962 kg/s. The freshwater production cost by the desalination system is 0.022 $/L.
Nuclear AREG affects a low‐proliferative phenotype and contributes to drug resistance of melanoma
Authors: Seefried Felix , Haller Lucia , Fukuda Shinji , Thongmao Aranya , Schneider Nadja , Utikal Jochen , Higashiyama Shigeki , Bosserhoff Anja Katrin , Kuphal Silke 
Published: August 2022

AbstractAMPHIREGULIN (AREG) is a multifaceted molecule, which acts not only as an extracellular ligand for EGF receptor (EGFR), but also as an intracellular signaling molecule. It remains elusive, however, whether AREG has a tumor suppressive or oncogenic role in melanoma. Here, we found that several melanoma cell lines express AREG, but the expression does not correlate with that of EGFR. Recombinant AREG and the neutralizing antibody experiments showed that intracellular AREG plays an important role in melanoma, implying a divergent function of AREG in addition to the role as a ligand for EGFR. Further investigation of this mechanism revealed that particularly nuclear‐localized AREG regulates IGF‐1R, P21 (Cip1/Waf1), TP53 and JARID1B protein accumulation in the nucleus. Furthermore, manipulation of nuclear AREG levels has influence on heterochromatin condensation (HP1beta, SETDB1) and trimethylation of histones H3K9 and H3K4. As these molecules correspond to previously identified markers for slow‐cycling drug resistant cells, we speculate that nuclear AREG predisposes cells to resistance to therapy. According to the hypothesis, we detected the accumulation of AREG in the nucleus of SK‐Mel‐28‐VR, which was cultured under Vemurafenib (VR) selection pressure, and this correlates with JARID1B expression. Here, knockdown of AREG makes the previously resistant cells more sensitive to VR treatment, resulting in inhibited proliferation. Taken together, we suggest that nuclear AREG affects a slow‐cycling phenotype and increases resistance to VR, raising a possibility that AREG might be a potential therapeutic target for resistance in melanoma.
Effect of metal oxide nanoparticles on the activity of glutathione reductase, catalase, peroxidase and superoxide dismutase in plants under drought
Authors: Jahantab Esfandiar , Farzadmehr Jalil , Matinkhah SayedHamid , Mohammad Abadi Nikoo Taheri , Shafeiyan Elham , Yazdanshenas Habib 
Published: August 2022

AbstractThere is no accurate information on the effect of metal oxide nanoparticles (MO NPs) on plant enzymatic activities (EAs) under drought stress (DS). The aim of this work was to study the effect of MO NPs on the EAs of Agropyron cristatum (L.) Gaertn and Sanguisorba officinalis L. under DS. Foliar spray of silver oxide (AgO), iron oxide (FeO), zinc oxide (ZnO) and cadmium oxide (CdO) at levels of 30, 60, 90 and 120 mg L−1 were used on plant aerial parts under DS levels of 25–100% field capacity (FC). Glutathione reductase (GR), catalase (CAT), peroxidase (POD) and superoxide dismutase (SOD) were measured after 2 weeks of the experiment. The EAs changes varied depending on the plant species, levels of DS, types and levels of NPs. Application of 30–60 mg L−1 MO NPs under 25–50% FC significantly reduced EAs, especially in S. officinalis (P < 0.01). Higher concentrations of MO NPs significantly increased EAs. Decreases in CAT (20.90%, 18.80%), POD (21.30%, 17.67%) and SOD (23.14%, 16.88%) were observed using 60 mg L−1 ZnO NPs under 25–50% FC in S. officinalis and A. cristatum, respectively. High concentrations of CdO NPs (90–120 mg L−1) increased EAs (max. = 24.0%) in both species under 25% FC.
Upregulation of hsa_circ_0004812 promotes COVID‐19 cytokine storm via hsa‐miR‐1287‐5p/IL6R, RIG‐I axis
Authors: Mohammadisoleimani Elham , Firoozi Zahra , Naghizadeh Mohammad Mehdi , Ghanbari Asad Ali , Pezeshki Babak , Gholampour Yousef , Mirzaei Ebrahim , Simin Mohamadhosain , Saliani Mahsa , Moravej Ali , Armoon Zolfaghar , Mansoori Yaser 
Published: August 2022

AbstractBackgroundSARS‐CoV‐2 is one of the most contagious viruses in the Coronaviridae (CoV) family, which has become a pandemic. The aim of this study is to understand more about the role of hsa_circ_0004812 in the SARS‐CoV‐2 related cytokine storm and its associated molecular mechanisms.Materials and MethodscDNA synthesis was performed after total RNA was extracted from the peripheral blood mononuclear cells (PBMC) of 46 patients with symptomatic COVID‐19, 46 patients with asymptomatic COVID‐19, and 46 healthy controls. The expression levels of hsa_circ_0004812, hsa‐miR‐1287‐5p, IL6R, and RIG‐I were determined using qRT‐PCR, and the potential interaction between these molecules was confirmed by bioinformatics tools and correlation analysis.Resultshsa_circ_0004812, IL6R, and RIG‐I are expressed higher in the severe symptom group compared with the negative control group. Also, the relative expression of these genes in the asymptomatic group is lower than in the severe symptom group. The expression level of hsa‐miR‐1287‐5p was positively correlated with symptoms in patients. The results of the bioinformatics analysis predicted the sponging effect of hsa_circ_0004812 as a competing endogenous RNA on hsa‐miR‐1287‐5p. Moreover, there was a significant positive correlation between hsa_circ_0004812, RIG‐I, and IL‐6R expressions, and also a negative expression correlation between hsa_circ_0004812 and hsa‐miR‐1287‐5p and between hsa‐miR‐1287‐5p, RIG‐I, and IL‐6R.ConclusionThe results of this in‐vitro and in silico study show that hsa_circ_0004812/hsa‐miR‐1287‐5p/IL6R, RIG‐I can play an important role in the outcome of COVID‐19.