bluuebunny/crossref_metadata_2025_split huggingface dataset:
To Study Expression of Tight Junction Protein Claudin in Ameloblastoma and Odontogenic Keratocyst.
Authors: Fatima Tanveer , Chandra Shaleen , Singh Priyanka , Mehta Manjit kour , Gupta Shalini 
Published: June 2024

Abstract

Background
Claudins are tight junction protein forming structural framework of cells. Altered claudin expression has been shown to affect behaviour ,progression and prognosis of the disease. The objectives of this study were to analyze the expression of claudin-1, -4 and − 7 in ameloblastoma and OKC and characterize their expression pattern in distinct tumor cell types in ameloblastoma and superficial, middle and basal layer in okc.
Methodology:
This retrospective study was done on histopathologically diagnosed 29 cases of Odontogenic keratocyst and 30 cases of Ameloblastoma to study expression of claudin 1,4 and 7 immunohistochemically. The expression was assessed qualitatively based on the level of positivity of claudin 1,4 and 7 in ameloblasts like cells, stellate reticulum like cells and squamous like cells in ameloblastoma. In OKC assessment of claudin 1,4 and 7 was done in basal layer, intermediate layer and superficial layer.
Findings:
We observed loss of claudin 1 and 7 expression in the basal layer of OKC, however increased claudin 1 and 7 expression was seen in the intermediate and superficial layers. No significant correlation was obtained between different claudin expression in basal, intermediate or superficial layers of OKC. In ameloblastoma, loss of claudin 1,4 and 7 was seen in peripheral ameloblast like cells which are epithelial neoplastic component of ameloblastoma. In areas with squamous metaplasia, increased expression of claudins was seen. Areas of stellate reticulum like cells also showed increased expression of claudin 1 and 7. This indicate their attempt to maintain intercellular cohesion. Relatively lesser expression of claudin 4 was observed. Overall, among ameloblastoma claudin 7 showed maximum proportion of high expression followed by claudin 1.
Conclusion
Through the present study, we concluded that claudin could be one of the credible candidate which is worth exploring in gaining knowledge about the pathogenesis of odontogenic cysts and tumors.
Increase Efficiency of Wireless Power Transmission with Conical Coil
Authors: Xu Yuhui 
Published: June 2024

Abstract

Wireless power transmission is a popular technology. This paper focuses on the problems of magnetic leakage in wireless power transmission systems, the loss of magnetic field energy and the decrease in efficiency. In this paper, a kind of primary coil of conical structure was proposed and a hardware experimental platform was set up. The primary coil of the system uses the ordinary planar coil and the new conical coil respectively to take the control experiments with different frequencies and different distances. Experimental results show that the conical coil can improve the transmission efficiency of the wireless power transmission compared with the ordinary planar coil. Under the same condition, when the primary coil adopts conical coil, transmission efficiency of the system can increase 10%. In order to prove that the conical coil has the function of magnetism gathering, this paper uses Maxwell software to simulate the magnetic field between planar coil and conical coil. It is concluded that the conical coil is superior to the planar coil in terms of transmission energy density and distance. Conical coil can also gather magnetic energy effectively to reduce the occurrence of magnetism leakage and transmit a longer distance. The conical coil proposed by this paper provides the direction for subsequent research.
Maritime sector transition pathways towards net-zero within global energy scenarios
Authors: Kramel Diogo , Krey Volker , Fricko Oliver , Maczek Florian , Muri Helene , Strømman Anders 
Published: June 2024

Abstract

The maritime sector's pathway towards decarbonization will not occur in isolation but rather intricately linked with the broader global energy, economic, and political systems. Yet, existing literature often overlooks this integrated perspective, focusing primarily on sector-specific strategies without considering societal changes and energy availability on a global scale. To bridge this gap, we employ a novel approach by coupling the MariTeam ship emission model within the MESSAGEix-GLOBIOM integrated assessment framework to examine the potential impacts of various energy, agriculture, economy, and climate scenarios on the maritime sector's trajectory towards achieving net-zero emissions around 2050, as mandated by the International Maritime Organization (IMO). Through our integrated modeling framework, we demonstrate that the maritime sector could have access to enough renewables to achieve substantial emissions reductions with minor implication in final product costs (median of 5%, with a second quartile range of 1% and a third quartile range of 17%). Our analysis also reveals that achieving the IMO’s goal is technically feasible while highlighting the importance of initiating the transition well before 2030, leveraging a triad of solutions by 2050 comprising energy efficiency improvements, biofuels, and blue ammonia. Each of these solutions is estimated to contribute to approximately one-third of emissions abatement within the sector, paving the way for further adoption of green ammonia and hydrogen by the end of the century. By considering broader societal and energy dynamics, our study offers valuable insights into the possible pathways for achieving the net-zero goals in the maritime sector.
Viscosity of hydrogen and methane blends: experimental and modelling investigations
Authors: Owuna Friday Junior , Chapoy Antonin , Ahmadi Pezhman , Hydrates Rod Burgass 
Published: June 2024

Abstract

Understanding of thermophysical and transport properties of H2-NG blends are needed for the gradual introduction of hydrogen into the national gas grid. A capillary tube viscometer was used to measure the viscosity of hydrogen + methane blends (with hydrogen mole fraction = 0, 0.1000, 0.1997, 0.5019, and 1) at temperatures from 213 to 324 K and pressures up to 31 MPa. A total 147 experimental viscosity measurements were made for the three H2 + CH4 blends and compared against the predictions of five different viscosity models: a one-reference corresponding states (Pedersen) model, a two-reference corresponding states (CS2) model, an extended corresponding states (ECS) model, a corresponding states model derived from molecular dynamic simulations of Lennard Jones (LJ) fluids, and a residual entropy scaling (SRES) method. All the model predictions showed a relatively low deviation compared to the measured viscosities. The density required for viscosity model predictions were computed using Multi-Fluid Helmholtz Energy Approximation (MFHEA) equations of state (EoS). To check the experimental procedure and applicability of the viscometer equipment, viscosity validation measurements were carried out for propane, hydrogen, and methane. The measured viscosities of the pure components were in good agreement with the respective viscosity models with AARD of 0.24%, 0.25%, and 0.58% for propane, hydrogen, and methane, respectively.
Impact of Genetic Polymorphisms in the Interleukin-18 and Interleukin-21 Genes on the Risk and Clinical Outcomes of Multiple Sclerosis
Authors: Bakr Noha M , Hashim Noha A. , El-Eshmawy Mohamed A. , Eldin Hatim A. 
Published: June 2024

Abstract

To study the association between IL-18-137G/C (rs187238) and IL-21-1472G/T (rs2055979) single nucleotide polymorphisms (SNPs) with the risk of MS, the disease progression, as well as the clinical features. 271 Egyptian individuals have participated in this present search, of whom 99 cases and 140 were unrelated healthy controls. For the IL-18-137G/C SNP, the GC genotype and C allele were linked to susceptibility to MS, and the GC and CC genotypes and C allele were linked to a higher risk of developing progressive MS. Regression investigation further strengthened the notion that this SNP is a predictor of the disability of the disease according to the Disability Status Scale (EDSS) values. For the IL-21-1472G/T SNP, the TT genotype and T allele were associated with the decreased risk of progressive MS in the Egyptian cohort when comparing the two diseased forms; however, they were not associated with the disability progression and severity of the disease. The IL-18-137G/C SNP could be a possible risk factor for the susceptibility and progression of MS. In contrast, the IL-21-1472G/T SNP could protect against progressive MS.
Social Capital: A Remedy for Deaths of Despair in the Rust Belt US Counties?
Authors: Bayraktar Asst. Prof. Dr. Murat 
Published: June 2024

Abstract

This study emphasizes how crucial social capital to decrease the deaths of despair among Rust Belt counties. From the year 2015 the social theory of “deaths of despair” became a matter of curiosity among researchers: rising despair and unemployment in regions like the Rust Belt were the common cause of rising death rates among white Americans. Suicide, alcoholic liver disease, and drug overdose are the three categories of disease. The Appalachian region of the United States, particularly Pennsylvania, West Virginia, along with Delaware, has a high rate of diseases of despair and the deaths that follow. Numerous things, such as hopelessness, loneliness, loss, or a lack of direction or purpose in life, can contribute to despair. When researchers test the validity of this hypothesis, mixed results have been found in this regard.
Findings from 140 counties from the Rust Belt region revealed that social capital can be an effective policy instrument to decrease the deaths of despair. Therefore federal, state, county, academia and community leaders should implement policies to increase the social capital levels among US citizens.
JEL Codes: H10, H75, I15, I18
Economic Evaluation of Fixed-dose Drug Combinations: A Systematic Review
Authors: Phung Toi L , Ong Due The , Ngo Nhi T.N , Pham Trang Thuy , Nguyen Ha Thi , Duong Khanh N.C , Dang Mai Thi Ngoc , Alcusky Matthew James , Amante Daniel J , Nguyen Hoa Lan 
Published: June 2024

Abstract

This study aimed to review the quality of published evidence on the cost-effectiveness of fixed-dose drug combinations (FDC), summarize key methodologic assumptions, and make recommendations for future economic evaluations of FDCs. The search was conducted on four databases, namely Medline, Embase, Web of Science, and the International Network of Agencies for Health Technology Assessment (INAHTA). Studies were selected if they assessed the cost-effectiveness of FDCs compared to one or more single active ingredient dosage forms or placebo. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 checklist was utilized for evaluating the quality of studies. The study protocol was registered in PROSPERO (CRD42021295388). A total of 39 studies were eligible for inclusion in the review. While most of the studies (n = 29) reported that FDCs are cost-effective, the comparator in the economic evaluations was not justified explicitly in most studies (n = 34). Modeling that examined cost-effectiveness did not incorporate medication adherence (n = 22), failing to consider a key advantage of FDCs. The majority of studies investigating FDCs reported that they were cost-effective interventions. However, further economic evaluations based on long-term clinical trials with larger populations are necessary. Also, future economic studies should incorporate superior treatment adherence with FDC into the model structure.
Is conventional drinking water treatment more economically viable than ultrafiltration in Brazil? A technical, economic, comparative study with risk assessment
Authors: Skoronski Everton , Rosa Altherre Branco , Simioni Flávio José 
Published: June 2024

ABSTRACT
Water treatment systems using ultrafiltration (UF) membranes constitute a viable option for producing drinking water for human consumption. The present study aimed to perform a comparative analysis of conventional water treatment and UF. The treatment methods were compared considering the quality of the treated water and the cost of implementing a water treatment plant (WTP) and operating the systems, with a risk assessment of the influence of the deterioration of water quality on costs. Data were obtained from the operations of a conventional WTP in the municipality of Lages, Brazil, and a pilot plant employing UF. In the conventional and UF systems, treated water had turbidity of 1.90 and 0.19 NTU, an apparent color of 2.12 and 0.28 mg L−1 Pt/Co, and pH of 6.94 and 7.04, respectively. Average total cost (ATC) was $0.0496/m3 in the conventional system and $0.0596/m3 in the UF system. Chemical inputs and sludge treatment were the main variables that affected the ATC in conventional treatment, whereas energy and plant costs were the main components affecting the ATC in the UF system. A 30% reduction in water quality increased the ATC by 2.6% for the conventional and 1.5% for the UF system.
Combination of co-pyrolyzed biomass–sludge biochar and ultrasound for persulfate activation in antibiotic degradation: efficiency, synergistic effect, and reaction mechanism
Authors: Jiang Wan , Liu Yiming , Wang Shenpeng , Yang Haifeng , Fan Xiulei 
Published: June 2024

ABSTRACT

A carbon material Cu-corn straw-sludge biochar (Cu-CSBC) was prepared by hydrothermally modifying sewage sludge and corn stover. The composite coupled to ultrasound can effectively catalyze the activation of PS for organic pollutants degradation, and the removal rate of 20 mg/L TC reached 89.15% in 5 min in the presence of 0.5 g/L Cu-CSBC and 3 mM PS. The synergistic effect between the factors in the system, the reaction mechanism, and the efficient removal of TC in the aqueous environment were explored in a Cu-CSBC/US/PS system established for that purpose. Quenching experiments and electron paramagnetic resonance analysis both demonstrated the Cu-CSBC/US/PS system generated •OH, SO4–•, 1O2, and O2- •, which involved in the reaction. The Cu, carboxyl, and hydroxyl groups on the Cu-CSBC surface promoted the generation of radicals and non-radicals for the degradation process, which was dominated by both radical and non-radical pathways. The degradation pathway is proposed by measuring the intermediate products with LC-MS. Finally, the stability of the Cu-CSBC/US/PS system was tested under various reaction conditions. This study not only prepared a novel biochar composite material for the active degradation of organic pollutants by PS but also provided an effective method for the resource utilization of solid waste and sludge treatment.
Comparative life cycle assessment of excreta management systems through composting and biomethanization: Case of a low-income tropical country
Authors: Jean-Baptiste Davidson , Monette Frédéric 
Published: June 2024

ABSTRACT

Low-income tropical regions, such as Haiti, grapple with environmental issues stemming from inadequate sanitation infrastructure for fecal sludge management. This study scrutinizes on-site sanitation systems in these regions, evaluating their environmental impacts and pinpointing improvement opportunities. The focus is specifically on systems integrating excreta valorization through composting and/or anaerobic digestion. Each system encompasses toilet access, evacuation, and sludge treatment. A comparative life cycle assessment was undertaken, with the functional unit managing one ton of excreta in Haiti over a year. Six scenarios representing autonomous sanitation systems were devised by combining three toilet types (container-based toilets (CBTs), ventilated improved pit (VIP) latrines, and flush toilets (WC)) with two sludge treatment processes (composting and biomethanization). Biodigester-based systems exhibited 1.05 times higher sanitary impacts and 1.03 times higher ecosystem impacts than those with composters. Among toilet types, CBTs had the lowest impacts, followed by VIP latrines, with WCs having the highest impacts. On average, WC scenarios were 3.85 times more impactful than VIP latrines and 4.04 times more impactful than those with CBTs regarding human health impact. Critical variables identified include the use of toilet paper, wood shavings, greenhouse gas emissions, and construction materials.
UPBEAT1-ROS-POD-PAL System under Different Xylogenesis Scenarios
in Karelian Birch (Betula pendula Roth var. carelica (Mercl.) Hämet-Ahti)
Authors: Nikerova Kseniya Mihajlovna , Galibina Nataliya Alekseevna , Sofronova Irina Nikolaevna , Moshchenskaya Yuliya Leonidovna , Korzhenevskij Maksim Anatol'evich , Klimova Anna Vladimirovna , Tarelkina Tatiana Vladimirovna 
Published: June 2024

Background:
We studied UPBEAT1 (UPB1) which regulated superoxide radical / hydrogen
peroxide ratio together with peroxidase (POD) activity and PAL genes expression under
different ways of apical meristem development during the xylem structural elements’ formation in
unique woody plants B. pendula var. pendula with straight-grained wood and B. pendula var.
carelica with figured wood. The differentiation process predominanced in straight-grained wood
(B. pendula var. pendula) or proliferation – in the figured wood. The investigation was conducted
in the radial row (cambial zone - differentiating xylem - mature xylem) during the active cambial
growth period.

Objective:
The study aimed to study the xylogenesis processes occurring in the 16-year-old
straight-grained silver birch (Betula pendula Roth) and Karelian birch (Betula pendula Roth var.
carelica (Mercl.) Hämet-Ahti) with figured wood.

Methods:
Hydrogen peroxide and superoxide radical contents and peroxidase activity were determined
spectrophotometrically. Gene expression for PAL family genes and the UPBEAT1 gene
was assessed using qRT-PCR.

Results:
Principal component analysis has confirmed trees with straight-grained and figured wood
to be different according to UPBEAT1-ROS-POD-PAL system functioning.

Conclusion:
The higher superoxide radical/hydrogen peroxide ratio in figured Karelian birch,
along with UPBEAT1 transcription factor and PAL genes upregulation, distinguished it from
straight-grained silver birch. This metabolic picture confirmed the shift of Karelian birch xylogenesis
towards proliferation processes, accompanied by ROS and phenolic compounds’ flow and
POD activity.
Revealing the Curative Possibilities: A Comprehensive Exploration of Caffeic Acid
Authors: Goyal Ahsas , Singh Vishwa Deep , Solanki Kunal , Verma Aanchal 
Published: June 2024

Abstract:
Caffeic acid, a phenolic compound of the hydroxycinnamic acid family, is abundant
in various plant-based foods, such as fruits, vegetables, and coffee, alongside other biologically
active compounds. Recognizing its potential to address various health issues and its widespread
presence in commonly consumed foods underscores the importance of comprehending and harnessing
the benefits of caffeic acid for human nutrition and well-being. This versatile substance,
characterized by acrylic and phenolic functional groups, plays a pivotal role in the food and
pharmaceutical industries. Furthermore, a detailed exploration of its pharmacokinetic properties,
absorption, distribution, metabolism, and excretion enhances our understanding of how the human
body processes it. Functioning as a precursor for essential compounds, caffeic acid contributes
to formulations with notable anti-inflammatory, antiviral, anti-cancer, anti-diabetic, antibacterial,
neuroprotective, and hepatoprotective qualities. Its current applications in treating Parkinson's
and Alzheimer's disease underscore its therapeutic significance. This comprehensive analysis
sheds light on caffeic acid's importance, showcasing its diverse applications across various
domains and paving the way for further research and development to fully unlock its therapeutic
potential. In conclusion, caffeic acid emerges as a bioactive substance with a broad spectrum of
pharmacological properties, suggesting its potential utility in diverse therapeutic contexts. The
comprehensive information provided in this article serves as a foundation for further research
and learning regarding the various ways that caffeic acid supports human health.
Unlocking the Potential of AI in Cancer Therapeutics: Advancements in Treatment Selection, Swift Diagnosis, Risk Assessment, and Prognosis
Authors: Yadav Deepak Kumar , Rathee Sunny , Patil Umesh K. 
Published: June 2024

Abstract:
Cancer poses a significant challenge in terms of treatment due to its aggressive nature and
low median survival rates, making accurate early diagnosis and prognosis prediction crucial for improving
patient outcomes. Advances in statistics and computer engineering have led to the application
of computational methods, including multivariate statistical analysis, to analyze cancer prognosis.
Artificial intelligence (AI) has emerged as a transformative force in the healthcare industry, leveraging
intricate pattern recognition in medical data to enhance the precision, efficacy, quality, and accuracy
of radiation treatment for cancer patients. AI finds application across various critical areas in
healthcare, including neurology, cardiology, and oncology, utilizing both structured and unstructured
healthcare data. Its roles extend to early detection, diagnosis, treatment, outcome prediction, and
prognosis evaluation, particularly in the context of cancer. Despite the potential benefits, integrating
AI into clinical practice in radiation oncology faces obstacles that must be overcome. The incorporation
of AI, particularly machine learning and deep learning, into clinical cancer research has significantly
improved predictive performance. This review explores the literature on the application of AI
in cancer diagnosis and prognosis, emphasizing the inherent advantages it offers. While recognizing
the importance of rigorous validation, the studies highlight ongoing efforts to integrate AI technology
into clinical settings, shaping the future of cancer care. Moreover, the review delves into future directions
for AI in cancer therapy, providing insights into upcoming trends, potential developments, and
emerging technologies within the AI landscape. By acknowledging the necessity for continued research
and validation, the article underscores the momentum toward leveraging AI in clinical oncology
and its potential to redefine the landscape of cancer diagnosis and treatment.
New 3-Hydroxypyridine-4-one Analogues: Their Synthesis, Antimicrobial Evaluation, Molecular Docking, and In Silico ADME Prediction
Authors: Sadeghian Sara , Zare Fateme , Saghaie Lotfollah , Fassihi Afshin , Zare Pooria , Sabet Razieh 
Published: June 2024

Introduction:
Drug resistance to existing antimicrobial drugs has become a serious
threat to human health, which highlights the need to develop new antimicrobial agents.

Methods:
In this study, a new set of 3-hydroxypyridine-4-one derivatives (6a-j) was synthesized,
and the antimicrobial effects of these derivatives were evaluated against a variety of microorganisms
using the microdilution method. The antimicrobial evaluation indicated that compound 6c,
with an electron-donating group -OCH3 at the meta position of the phenyl ring, was the most active
compound against S. aureus and E. coli species with an MIC value of 32 μg/mL. Compound 6c was
more potent than ampicillin as a reference drug.

Results:
The in vitro antifungal results showed that the studied derivatives had moderate effects
(MIC = 128-512 μg/mL) against C. albicans and A. niger species. The molecular modeling studies
revealed the possible mechanism and suitable interactions of these derivatives with the target protein.

Conclusion:
The obtained biological results offer valuable insights into the design of more effective
antimicrobial agents.