bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and Factors Affecting the Intention of Women to Limit Childbearing in Bangladesh: A Cross-Sectional Study
Authors: Rashid Md. Mamunur , Roy Tapan Kumar , Rahman Mosiur 
Published: May 2023

Abstract

Women’s intention to limit childbearing is a leading issue in developing countries like Bangladesh. This study tries to identify which factors are associated with limiting childbearing intention among reproductive-aged women in Bangladesh. We used the most recent Bangladesh Demographic and Health Survey 2017-18 data to analyze this study. The outcome variable was women’s intention to limit childbearing. Individual, household and community-level factors were used as the explanatory variables. Descriptive statistics were used to describe the background characteristics of the study. To check the association between the outcome variable and explanatory variable, we used two-level logistic regression model. The result of this study showed that women’s age, education, wealth index, and use of modern methods had significantly associated with women’s intention to limit childbearing. According to the two-level logistic regression model, the likelihood of women’s intention to limit childbearing was found to be increased with the increased age of respondents. Higher-educated women were 83% lower likelihood of limiting childbearing compared to illiterate women. Women who came from middle wealth index had a 40% lower likelihood to limit childbearing than the poorest women. Women who had used modern methods were 1.52 times more to limit childbearing than women who had not used modern methods. So, improving access to women’s age, wealth index, education and contraceptive use will pay more attention to achieving desired fertility rate.
Energy Efficient Cluster based Artificial Intelligence Routing for Wireless Sensor Networks
Authors: P Rajendra Prasad , Ahmed Roshan Zameer , Choudhary Dilip Kumar 
Published: May 2023

Abstract
Artificial Intelligence (AI) based wireless sensor network technology is the future of advancement for real-time applications. With AI wireless sensor network technology, it is possible to collect data from any environment, analyze in real time, and use it to optimize processes and operations. AI wireless sensor network technology provides an unprecedented level of accuracy as well as the ability to detect even the slightest changes in a given environment. The AI-based approach uses clustering-based techniques with Self Organizing Map (SOM) for energy conservation in resource-constrained networks. By clustering the network, it becomes more energy efficient, as data can be shared among members of a cluster without needing to be transmitted across multiple nodes. We make an effort to define key parameters of the design space for size, cost, mobility, deployment, and energy parameters and support our conclusions by demonstrating where different existing sensor network applications are located within the design space. The proposed work AI cluster-based routing approach outperforms in terms of energy consumption and computational challenges of the network. Furthermore, the work includes a mathematical analysis, which allows readers to better understand the inner workings of the proposed approach and how it can be used to reduce network energy consumption. The results obtained demonstrate the proposed approach to achieve lower energy consumption than the existing algorithms while providing the same level of performance in terms of throughput and latency, as well as a comparison with traditional justification techniques.
Diagnosis of Immunoglobulin D myeloma with severe renal involvement ten years after a solitary plasmacytoma
Authors: Mrabet Sanda , Hmida Mohamed Ben 
Published: May 2023

Abstract
Immunoglobulin D myeloma is a rare subtype often described as aggressive with advanced disease at diagnosis. Primary renal involvement is seen in scarce cases. The aim of the present study was to describe the case of a 55‑year‑old male patient with immunoglobulin D‑λ myeloma who presented with severe renal failure at diagnosis. On examination, he presented a 10- year-old sternal arch. Investigations concluded a sternal plasmacytoma associated with multiple others in the ribs. He benefited from traditional chemotherapy and remained hemodialysis-dependent. We concluded that IgD-secreting plasma cells could remain quiescent for a long time in the form of a solitary plasmacytoma. However, in case of bone marrow involvement, they may induce myeloma with serious organic damage.
Eye tracking by Virtual Reality Head Mounted Display provides biofeedback for gaze stabilisation exercises and enables on-the-fly measurement of Vestibulo-Ocular Reflex gain
Authors: Nowakowski Jonatan Julian , Moksud Nafeesa , Zatoński Tomasz 
Published: May 2023

Abstract
Background: Vestibular hypofunction is a debilitating condition managed by vestibular rehabilitation protocol. Growing evidence indicates use of a virtual reality head mounted display (VR-HMD) based vestibular rehabilitation protocol improves adaptation responses by the vestibulo-ocular reflex (VOR), and reduction of symptoms. Currently such protocols only employ habituation exercises, and not gaze stabilisation.
Methods: A VR-HMD with integrated biofeedback system was designed to guide 8 participants (4 cases, 4 controls) through VR-based vestibular rehabilitation exercises, allowing the participants to self-correct for gaze stabilisation. VOR, angular VOR and patient discomfort were measured.
Results: Ipsilesional VOR of patients with unilateral vestibular hypofunction increased by 23.17% (SD: ±18,87%, p=0.01). One patient achieved a statistically significant decrease in aVOR for the contralesional side. Patient discomfort increased with the duration of the protocol.
Conclusions: This pilot VR-HMD protocol is a good alternative to classic gaze stabilisation exercises and allows for on the fly measurement of VOR. All patients with unilateral vestibular hypofunction demonstrated VOR gains. This is the first known study to employ biofeedback within the VR-HMD rehabilitation protocol that aids patients comply precisely to the exercises while also providing on-the-fly measurements for later examination and analysis. Further research is needed to optimise the technical considerations and tailor the rehabilitation protocol to patient needs and comfort.
Investigating the Vibration assisted rock drilling in longitudinal-torsional direction
Authors: Gao Dayong , Lin Jianyong , Li Jianlei , Yao Hongliang 
Published: May 2023

Abstract
To address the issues of high axial force and slow cutting speed in traditional rock drilling, this paper proposes a longitudinal-torsional coupled vibration assisted rock drilling scheme. Theoretical modeling of rock drilling under longitudinal-torsional coupled vibration assistance is presented, followed by finite element simulations of traditional drilling, longitudinal vibration drilling, torsional vibration drilling, and longitudinal-torsional coupled vibration drilling. Results show that longitudinal-torsional coupled vibration drilling reduces the maximum axial force by 36.32% and increases the drilling speed by 36.28% compared to traditional drilling. Experimental validation shows a reduction in strain of the drill bit support by 35.48% and a 31.25% increase in drilling speed during longitudinal-torsional coupled vibration drilling compared to torsional vibration drilling. Study demonstrates that longitudinal-torsional coupled vibration drilling is a more efficient method for rock drilling than other methods.
A low dose of naloxone mitigates autoimmune hepatitis by regulating TLR4/NF-κB and Nrf2/HO-1 signaling pathways
Authors: Ibrahim Kawther Magdy , Ahmed Hebatalla Ibrahim , Ramadan Laila , Balah Amany 
Published: May 2023

Abstract
Naloxone is a non-selective opiate receptor antagonist that is mainly used in the management of opiate addiction. Previously, naloxone has been shown to have anti-inflammatory and antioxidant properties. A popular and well-known animal model of autoimmune hepatitis that closely matches the pathogenic changes that take place in humans is the Concanavalin A (Con A) model. The present study demonstrates that a low dose of naloxone (LD NX) has the ability to improve hepatic function and attenuate hepatic damage induced by Con A as indicated by a substantial decrease in serum aminotransferase, bilirubin and enhancement of albumin production as well as liver pathological changes. Also, The proinflammatory cytokines, tumor necrosis factor-a (TNF-α), interferon- γ (IFN-γ), interleukin-6 (IL-6) and interleukin-1β (IL-1β) were highly suppressed in animals pretreated with LD NX via interference with TLR4/NF-kB as well as JNK signaling pathways. Additionally, oxidative stress was significantly attenuated in animals pretreated with LD NX as indicated by high reduction in hepatic MDA and an increase in Nrf2, HO-1 expression and subsequent production of the endogenous antioxidants, SOD, CAT and GSH. Collectively, this study demonstrates that LD NX has the ability to mitigate Con A-induced autoimmune hepatitis via modulation of inflammatory cytokines secretion and interference with reactive oxygen species generation.
The association between TLRs and clinical outcome in intracerebral hemorrhage
Authors: Lei Chunyan , Lin Shihan , Li Yongyu , Zhu Xiaoyan , Li Haijiang , Xue Ruolong , Chang Xiaolong , Yang Xinglong , Zhong Lianmei 
Published: May 2023

Abstract
Background and purpose Toll-like receptors (TLRs) are involved in innate immunity and inflammatory responses in various diseases. Our study aimed to investigate the association the levels of soluble TLR4 (sTLR4) and soluble TLR2 (sTLR2) and clinical outcomes following intracerebral hemorrhage (ICH).Methods Patients admitted to department of Neurology with acute ICH were retrospectively included. Plasma levels of sTLR4 and sTLR2 after ICH were measured by enzyme-linked immunosorbent assay. Poor clinical outcome was defined as a modified Rankin score (mRS) of 3–6 at 3-month and 12-month after onset.Results All 207 patients with ICH and 100 non-stroke controls were included in our analysis. The mean sTLR4 level was 4.53 ± 1.51ng/ml and mean sTLR2 level was 3.65 ± 0.72ng/ml. There was a significant trend towards a worse clinical outcomes with increasing sTLR4 and sTLR2 terciles at 3 and 12 months. According to receiver operating curve (ROC), the sTLR4 was reliable predictor for poor clinical outcome at 3 months (ROC = 0.75) and 12 months (ROC = 0.74). The sTLR2 was less reliable predictor for poor clinical outcome at 3 months (ROC = 0.64) and 12 months (ROC = 0.65). The level of sTLR4 was an independent predictor of poor clinical outcome at 12-month (OR 1.24, 95% CI 1.16 to 1.80; P = 0.019).Conclusions The sTLR4 quantification may provide accurate prognostic information after ICH.
Roadmap of electrons from donor side to the reaction center dimer of photosynthetic purple bacteria with mutated cytochromes
Authors: Kis M. , Szabó T. , Tandori J. , Maróti P. 
Published: May 2023

Abstract
In photosynthetic bacteria, the absorbed light drives the canonical cyclic electron transfer between the reaction center and the cytochrome bc1 complexes via the pools of mobile electron carriers. If kinetic or structural barriers hinder the participation of the bc1 complex in the cyclic flow of electrons, then the pools of mobile redox agents must supply the electrons for the multiple turnovers of the reaction center. These conditions were achieved by continuous high light excitation of intact cells of bacterial strains Rba. sphaeroides and Rvx. gelatinosus with depleted donor side cytochromes c2 (cycA) and tetraheme cytochrome subunit (pufC), respectively. The graduate oxidation by ferricyanide reduced further the availability of electron donors of pufC. The electron transfer through the reaction center was tracked by absorption change of the dimer and by induction and relaxation of the bacteriochlorophyll fluorescence. The rate constants of the electron transfer (~ 3·103 s‒1) from the mobile donors of Rvx. gelatinosus bound either to the RC (pufC) or to the tetraheme subunit (wild type) were similar. The electrons transferred through the reaction center dimer were supplied entirely by the donor pool, their number amounted about 5 in wild type Rvx. gelatinosus and decreased to 1 by exhaustion of the pool in pufC oxidized by ferricyanide. The complex shape of the measured function of the yield of fluorescence versus oxidized dimer revealed the contribution of two competing processes: the migration of the excitation energy among the photosynthetic units and the availability of electron donors to the oxidized dimer. The experimental results were simulated and rationalized by a simple kinetic model of the two-electron cycling of the acceptor side combined with aperiodic one-electron redox function of the donor side.
Numerical Investigation of Double Emulsion Formation in non-Newtonian Fluids using Double Co-Flow Geometry
Authors: Malakshah Vahid Mollania , Darabi Mahdi , Sattari Amirmohammad , Hanafizadeh Pedram 
Published: May 2023

Abstract
The paper presents a 2D axisymmetric numerical simulation in three phases to investigate a double Co-Flow microfluidic device's ability to produce double emulsions in both Newtonian and non-Newtonian ambient fluids. The Volume of fluid (VOF) method was utilized to perform an investigation of the creation of a double emulsion in a double Co-Flow geometry. The study utilized a model to examine how the size and generation frequency of double emulsions are impacted by various factors such as the velocity of the phases, viscosities, interfacial tension, and rheological properties of non-Newtonian fluids. The model predicted the process of emulsification successfully in dripping and jetting regimes and was used to predict the impacts of the velocity of the phases on the dimension, and frequency of compound droplets. As the inner phase's flow rate is raised, the size of the inner droplets rises, while the dimension of the outer droplets remains mostly unchanged. In contrast, growing the outer phase's flow rate leads to a reduction in the size of compound droplets. However, when the middle phase's flow rate is enhanced, the size of detached droplets in the outer and inner phases undergo opposite changes, i.e., decreasing and increasing in Newtonian and non-Newtonian fluids, respectively. Also, the results showed that in non-Newtonian fluids, smaller droplets are formed compared to Newtonian fluid, and the diameter of the double emulsions formed decreases, with the rise in the concentration of the non-Newtonian fluid.
A Post-Pandemic Case Study and Situation Analysis of Helping Babies Breathe Programs in Vietnam
Authors: Kain Victoria , Nguyen Thi Thanh Binh , Nguyen Thi Thanh Binh , Fatth Waleed , Kelly Patty , Larbah Amina , Patel Divya 
Published: May 2023

Abstract
OBJECTIVE
To assess the current state of healthcare workers' skills following an extended hiatus in Helping Babies Breathe (HBB) training in Vietnam.
STUDY DESIGN
A two-phased study collected demographic and epidemiologic information, followed by semi-structured interviews with stakeholders to analyse the impact of the pandemic on neonatal resuscitation education and what is needed to resume and upscale training.
RESULTS
Vietnam's neonatal mortality rate has decreased, but socioeconomic differences and the availability of skilled birth attendants varies by region. The situation analysis highlighted the need for resources to support neonatal resuscitation training, difficulty in skill maintenance, and the impact of the pandemic on the neonatal workforce.
CONCLUSION
In low-resource countries, the global pandemic resulted in shortages of medical supplies, decreased access to care, and diminished neonatal resuscitation skills. These settings require regular neonatal resuscitation training, raising issues regarding reversal of HBB training gains, lack of skill reinforcement, and unsafe practices.
Roflumilast Protects against Neuroinflammatory Alterations in Brain
Tissues of Lipopolysaccharide-induced Mice Model
Authors: Singh Rakesh Kumar , Kumari Nisha , Pandey Shivam Kumar , Akhtar Mohammed Zunaid , Dey Mangaldeep , Gautam Avtar Singh , Nanda Anjuman , Tiwari Aman 
Published: May 2023

Background:
Microglial overactivation promotes the production of various second messengers
and inflammatory markers in brain tissue, resulting in neuroinflammation and neurodegeneration,
which may lead to cognitive decline. The cyclic nucleotides are one of the important second
messengers involved in the regulation of neurogenesis, synaptic plasticity, and cognition. The levels
of these cyclic nucleotides are maintained by phosphodiesterase enzyme isoforms, particularly
PDE4B, in the brain. An imbalance between PDE4B levels and cyclic nucleotides may lead to aggravating
neuroinflammation.

Methods:
Lipopolysaccharides (LPS) were administered intraperitoneally on alternate days for 7 days
at a dose of 500 μg/kg in mice, which triggered systemic inflammation. This may lead to the activation
of glial cells and may activate oxidative stress and neuroinflammatory markers in brain tissue.
Furthermore, oral administration of roflumilast (0.1, 0.2, and 0.4 mg/kg) in this model ameliorated
oxidative stress markers, neuroinflammation and improved neurobehavioral parameters in these animals.

Results:
The detrimental effect of LPS increased oxidative stress, AChE enzyme levels, and decreased
catalase levels in brain tissues, along with memory impairment in animals. Moreover, it also
enhanced the activity and expression of the PDE4B enzyme, resulting in a decline in cyclic nucleotide
levels. Furthermore, treatment with roflumilast improved the cognitive decline, decreased AChE enzyme
level, and increased the catalase enzyme level. Roflumilast also reduced the PDE4B expression
in a dose-dependent manner, which LPS up-regulated.

Conclusion:
Roflumilast has shown an anti-neuroinflammatory effect and reversed the cognitive decline
in LPS-induced mice model.
A Pan-Cancer Signature For S100A11 - Prognostic And Immunotherapeutic
Value
Authors: Zhang Ping , Le Yali , Geng Chenchen , Zhao Guanghui , Gao Xiaoqian , Zhu Shuzhen , Liu Ziqian 
Published: May 2023

Background:
S100 calcium-binding protein A11 (S100A11) has important roles in tumorigenesis
and multiple cancer progression.

Amis:
In this study, we aimed to analyze the expression and prognostic value of S100A11 across cancers
and further explore the relationship between S100A11 and the tumor immune microenvironment.

Methods:
We analyzed the differential expression of S100A11 in the TIMER, GEPIA, and BioGPS
databases and searched for its prognostic impact in the GEPIA and Kaplan-Meier plotter databases.
We used the SangerBox database to investigate the relationship between S100A11 expression and the
tumor immune microenvironment. The TIMER database explored the relationship between S100A11
expression and tumor immune-infiltrated cells (TILs). Correlation analysis of S100A11 expression
with clinical parameters in thyroid carcinoma (THCA) was performed using the UALCAN database.
The co-expression network of S100A11 in THCA was explored through the LinkedOmics database.
RT‒qPCR and immunohistochemical (IHC) staining were used to analyze the expression level of
S100A11 in THCA.

Results:
S100A11 expression was higher in many tumors than in paired normal tissues, and increased
expression was associated with poor prognosis, including overall survival (OS), recurrence-free survival
(RFS), and disease-free survival (DFS). S100A11 was differentially expressed in immune subtypes
and molecular subtypes of some cancers. The expression of S100A11 was correlated with immune
checkpoints (ICP), tumor mutational burden (TMB), microsatellite instability (MSI), neoantigens,
and TILs. The methylation level of S100A11 was negatively correlated with mRNA expression.
S100A11 expression had a specific correlation with the clinical parameters of THCA. In THCA, the
coexpression network of S100A11 was mainly involved in regulating inflammation and immune responses.
RT‒qPCR and IHC staining confirmed that S100A11 was upregulated in THCA.

Conclusion:
S100A11 may be related to the regulation of the tumor microenvironment. S100A11 may
serve as a potential pan-cancer biomarker for prognosis. S100A11 could be a potential target for
THCA immunotherapy.
Methods and Applications of Raman Spectroscopy: A Powerful Technique in Modern Research, Diagnosis, and Food Quality Control
Authors: Benattia Farah Kenza , Arrar Zoheir , Dergal Fayçal 
Published: May 2023

Background:Raman spectroscopy has evolved into an important fast, rapid, direct, and non-destructive technique that has recently been applied in different fields.Objective:The present work aims to study the theoretical bases and the experimental techniques relate to Raman spectroscopy and highlight the performance as well as the different applications of the technique.Methods:Spectroscopy, in general, is the study of the interaction between electromagnetic radiation and matter, which corresponds to the emission or transmission of energy in the form of a wave at a given frequency. Raman spectroscopy is based on the inelastic diffusion of photons on electrons. The change in electron energy level leads to different modes of vibration of a molecule. These different vibration modes occur at specific frequencies for each molecule.Results:Raman spectroscopy is used in chemistry as a tool to identify molecules in a sample. Indeed, each Raman peak is associated with a vibration mode of a molecule; it is considered as a more useful approach to monitor the chemical parameters of samples tested in several fields, especially in food safety.Conclusion:This review covers the current research status and prospects of Raman spectroscopy. The Raman effect is considered from the time of its discovery as a great gift for chemists because it contributes to a better characterization of the structure of matter.
On the issue of revitalization of urban real estate in the post-COVID world
Authors: Nabiullina Karina 
Published: May 2023

The structural labor market crisis, being one of the main consequences of the COVID-19 pandemic, caused a significant correction in the real estate sector. Given its well-known features, state support measures are aimed at preventing stagnation in the real estate development. The loss of investment attractiveness by infrastructure-focused projects not only hinders the market recovery, but also deprives the economy of a promising advantage due to less intensive investment activities, reducing the number of new well-paid high-tech jobs associated with the operation of commissioned construction projects.
The pandemic adjusted urban planning plans that now take account of the suburban migration of the working urban population. The study allowed to systematize the factors influencing the business activity in suburban construction. State support measures are crucial there; they range from the project funding for low-rise buildings to the expansion of mortgage programs that support the demand for realty developed outside of urban areas.
A decline in the population density in the historic centres of cities also requires a new wave of occupancy, that ranges urban residents by the income, marital status, professional structure, forms and types of employment, etc.
Having studied real estate restructuring trends, shaped by the national development priorities in the context of the coronavirus crisis, the author added new urban space vitalization requirements, taking into account the synchronization of settlement “counter waves”, new housing elevators, the technological renewal, etc., that will bring in new resources, among which human capital becomes a development trigger.