bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the key determinants of an HPV therapeutic vaccine: a modeling analysis
Authors: Stuart Robyn , Klein Daniel , Kerr Cliff , Rao Darcy , Shin Haina , Achilles Sharon , Cohen Jamie 
Published: June 2023

Abstract
Despite incredibly effective tools to prevent HPV infection and treat precancerous lesions, the scale-up of existing interventions in most low and middle-income countries has been slow, leaving a residual burden of invasive cervical cancer that will persist for decades. An HPV therapeutic vaccine may overcome some of the scalability and infrastructure challenges of traditional screening and treatment programs, though its potential public health value depends upon its characteristics, delivery strategy, and the underlying natural history on which it would act. This analysis uses HPVsim, an open-access agent-based simulation framework, to evaluate the impact of a potential HPV therapeutic vaccine with varying scale-up of existing preventive interventions. To illustrate the sensitivity of results to natural history assumptions, we calibrate two models reflecting uncertainty in the natural history of HPV infection and cervical disease. We find that an HPV therapeutic vaccine may avert 7% to 30% of cervical cancers over 30 years and 25% to 60% of cervical cancers over 70 years. The size of the impact is sensitive to rates of background intervention scale-up, the characteristics of the vaccine, including ability to establish long-lasting immune memory, and the underlying natural history assumptions. Even with background intervention scale-up reaching WHO cervical cancer elimination target levels, an HPV therapeutic vaccine might have efficiency comparable to many other widely administered vaccines such as against MenA, rotavirus, and PCV. This work highlights the importance of the underlying natural history assumptions in mathematical models and the need to explicitly account for parametric uncertainty.
The Dynamic Relationship between Energy Consumption, Foreign Capital Inflows and Currency Devaluation in Tunisia
Authors: KHRAIEF Naceur , KASSAB Nihed 
Published: June 2023

Abstract

This paper aims at analyzing the short and long run relationships between energy consumption and foreign capital inflows. This relationship is investigated after studying the impact of the three main variables: the economic growth, the export and the currency devaluation on the energy consumption, for Tunisia during the period 1971–2020. The ARDL bound testing approach is used in the presence of structural breaks in order to test the different interrelationships. Our preliminary results show that a long-run relationship exists between the above-mentioned variables. The performed causal analysis led to conclude that a bidirectional effect exists between foreign capital inflows and energy consumption, between energy consumption and the economic growth, and between foreign capital inflows and the economic growth. Thus, the resulting suggestion of this paper concern the Tunisian energy industry and encourages the possible change within its policies stressing the importance of the role of foreign capital inflows in reducing the energy consumption in Tunisia.
Real-time and selective control of shell deformation based on dynamic and subregional pressure response of flexible dies under magnetic field
Authors: XIANG Nan , WANG Hao-ran , WANG Peng-yi , HUANG Tao , GUO Jun-qing , WANG Yao-li , CHEN Fu-xiao 
Published: June 2023

Abstract
Pressure-carrying properties of traditional flexible materials can hardly be controlled during the process that they serve as pressure-carrying medium to form shell components. In this work, a forming method based on the subregional and dynamic pressure response of property-adjustable forming medium was proposed, aiming at achieving the flexible control of shell deformation in different regions and stages. Elastic composites with iron particles selectively dispersed in pre-designed location, i.e., heterogeneous magneto-rheological elastomers (MREs), were fabricated and employed as the flexible dies in the bulge tests of Al1060 sheet in the presence of external magnetic field. Deformation behaviors of sheet metal were dynamically measured, and loading and stress conditions were numerically studied. The results showed that local shell deformation could be controlled in a nearly monotonic way by adjusting the distribution pattern and content (φ) of iron particles. In the case that heterogeneous MRE with φ = 0/30% was employed and magnetic field with flux density (B) of 1950 Gs was applied, difference of bulge height and strain on both sides of the deformed shell increased by 6.5% and 16%, respectively. In the presence of magnetic field with B = 1240Gs, difference of bulge height on both sides of the sheet metal increased by 9% compared with the condition that no magnetic field is applied. But, the influence of magnetic field is not monotonous. Changed stress paths of sheet metal, which was induced by non-uniformly distributed and dynamically controllable pressure field of heterogeneous MREs, was used to clarify the forming mechanism.
Access to the Antenna System of Photosystem I via Single-Molecule Excitation-Emission Spectroscopy
Authors: Zhang XianJun , Taniguchi Rin , Nagao Ryo , Tomo Tatsuya , Noguchi Takumi , Ye Shen , Shibata Yutaka 
Published: June 2023

Abstract

Photosystem I (PSI) is one of the two photosystems embedded in the thylakoid membrane in oxygenic photosynthetic organisms. It plays an important role in electron transfer in the photosynthesis reaction. The PSIs of many organisms contain a few red-shifted chlorophylls (Chls) with much lower excitation energies than the ordinary antenna Chls. The fluorescence emission spectrum originates primarily from the red-shifted Chls, whereas the excitation spectrum is sensitive to the antenna Chls that are upstream of red-shifted Chls. Using single-molecule excitation-emission spectroscopy (SMEES), we obtained the inclining 2D excitation-emission matrix (2D-EEM) of PSI particles isolated from a cyanobacterium, Thermosynechococcus vestitus (equivalent to elongatus), at 80 K. Interestingly, by decomposing the inclining 2D-EEMs, we found prominent variations in the excitation spectra of the red-shifted Chl pools with different emission wavelengths, strongly indicating the variable excitation energy transfer (EET) pathway from the antenna to the terminal emitting pools. SMEES helps us to directly gain information about the antenna system, which is fundamental to depicting the EET within pigment-protein complexes.
A new hybrid β-cyclodextrin/PAMAM G.0 as an electrochemical sensor for isoniazid detection
Authors: Barbosa Priscila Fernanda Pereira , Mastelaro Valmor Roberto , Carmo Devaney Ribeiro 
Published: June 2023

Abstract

βcyclodextrin (β-Cd) was functionalized with polyamide dendrimer PAMAM G.0 and the formed material was used to adsorb copper and in a subsequent reaction with potassium hexacyanoferrate (II) forming a mixed valence complex on the on β-cyclodextrin/PamamG.0 surface (β-Cd-PAMAM-Cu/Fe). This material and its precursors were characterized by Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD) and by X-ray Photoelectron Spectroscopy (XPS). The β-Cd-PAMAM-Cu/Fe material was successfully tested in the electrocatalytic oxidation of isoniazid (ISO) using Cyclic Voltammetry (CV) and Square Wave (SW). The electrochemical performance of the modified sensor exhibited a limit of detection (LOD) of 3.69×10− 7 mol L− 1 with a linear range from 1.0×10− 6 mol L− 1 to 1.0×10− 5 mol L− 1 of isoniazid using CV. A second region was detected with a limit of detection of 1.98×10− 5 mol L− 1 with a linear range from 6.0×10− 5 mol L− 1 to 9.0×10− 4 mol L− 1 of isoniazid using CV. In the same way, two linear regions were obtained using SWV, whose LOD was 6.49×10− 9 mol L− 1 in the concentration range of 5.0×10− 7 to 1.0×10− 6 mol L− 1 and the second region presented a LOD of 1.96×10− 7 mol L− 1 in the concentration range of 2.0×10− 6 to 1.0×10− 5 mol L− 1. Recoveries ranging from 97.20 to 100.57% were calculated, demonstrating satisfactory accuracy of the proposed method.
Heart Failure Classification Using Deep Learning to Extract Spatiotemporal Features from ECG
Authors: Zhang Chang-Jiang , Lu Yuan , Tang Fu-Qin , Cai Hai-Peng , Qian Yin-Fen , Wang Chao 
Published: June 2023

Abstract
Background
Heart failure is a syndrome with complex clinical manifestations. Due to increasing population aging, heart failure has become a major medical problem worldwide. In this study, we used the MIMIC-III public database to extract the temporal and spatial characteristics of electrocardiogram (ECG) signals from patients with heart failure.
Methods
We developed a NYHA functional classification model for heart failure based on a deep learning method. We introduced an integrating attention mechanism based on the CNN-LSTM-SE model, segmenting the ECG signal into 2 to 20 s long segments. Ablation experiments showed that the 12 s ECG signal segments could be used with the proposed deep learning model for superior classification of heart failure.
Results
The accuracy, positive predictive value, sensitivity, and specificity of the NYHA functional classification method were 99.09%, 98.9855%, 99.033%, and 99.649%, respectively.
Conclusions
The comprehensive performance of this model exceeds similar methods and can be used to assist in clinical medical diagnoses.
New Contributions to Prime Number Theory
Authors: uzaman budee 
Published: June 2023

Abstract
This paper introduces a novel approach to estimate the distribution of prime numbers by leveraging insights from partition theory, prime number gaps, and the angles of triangles. Application of this methodology to infinite sums and nth terms, and propose several ways of defining the nth term of a prime number. By using the Ramanujan infinite series of natural numbers. I will be able to derive an infinite series of prime numbers.
Characteristics and stability of pulsed gas-liquid discharge with the addition of photocatalysts
Authors: YE Yuankun , ZHOU Zikai , WANG Sen , FANG Zhi 
Published: June 2023

Abstract
Gas-liquid discharge coupling with photocatalysts is an effective approach to enhance the chemical activity of plasma treated liquid. However, the incomplete understanding of the discharge characteristics with the addition of photocatalysts remain. The characteristics of pulsed gas-liquid discharge (G-LD) combining TiO2 or WO3 are studied in this work to address this issue. Results indicate that the addition of photocatalysts significantly promote the discharge, as evidenced by the diagnosis of discharge current, optical emission spectra, concentrations of aqueous species and solution properties. Specifically, the addition of catalysts enhances the discharge current and enrich the emission spectrum. The atomic emission lines O (3p-3s), N (3p-3s) and Hα were also observed with the addition of TiO2, followed by higher content of reactive species in the solution. However, the destruction of discharge stability is also accelerated with the addition of catalysts. This study contributes to an improved understanding of the mechanism of gas-liquid discharge coupled with photocatalysts for the improvement in applications.
The combined application of biochar and cow urine enhances organic rice production
Authors: Jindo Keiji , Tahura Saraban , Hossen M Kamal , MIA Shamim , Harun-or-Rashid Md , Rahman Mahmud 
Published: June 2023

Abstract
Enhancing the yield of rice (Oryza sativa) under organic farming conditions often presents difficulties due to nutrient deficits, particularly nitrogen, which restrict primary productivity. The application of organic amendments from various sources (e.g., nitrogen-abundant urine) is suggested as a method to boost crop productivity and soil fertility, and to rehabilitate degraded land. However, limited knowledge exists on the impact of cow urine combined with biochar-compost on local aromatic rice performance.In our study, we structured an experiment around two variables: a) three local aromatic rice varieties (Kalizera, Chinigura and Shhakharkhora), and b) five organic amendments (compost, cow urine, compost + cow urine, biochar-compost, and biochar-compost + cow urine). We measured plant performance and soil nutrient status to assess the impact. The results demonstrated that, on average, the Chinigura variety yielded a significantly higher grain output (3.13 t/ha) across all fertilizer treatments. Remarkably, the most considerable yield increase was observed with the combined use of compost and cow urine, reaching its peak with the biochar-compost + cow urine treatment (4.03 t/ha). This significant increase could be attributed to the cow-urine nitrogen retained on the surfaces of the biochar-compost, which subsequently improved the nitrogen availability to the plants. Supporting our initial hypothesis, we noted a substantial increase in soil and plant nitrogen (indicated by SPAD value) and grain absorption in the biochar-compost treatment. Our principal component analysis revealed positive relationships between grain yield and nutrient concentration in plants and soil. Our findings suggest that merging nitrogen-rich substances with compost could be a viable strategy for enhancing the yield of organically cultivated rice.
Experimental study on the effect of water content on the mechanical properties of rock-like materials under freeze-thaw action
Authors: Yuan Pu , Lu XueFeng , Qi Shao-xian , Li Ao-bo 
Published: June 2023

Abstract
In order to study the effect of water content on the mechanical properties of rock-like materials under freeze-thaw action. Static uniaxial compression test and dynamic SHPB test were carried out on dry rock-like and rock-like with water content of 1%, 2% and 3% under different freeze-thaw cycles. The static and dynamic mechanical properties were analyzed, and the damage and deterioration mechanism of rocks with different water contents was analyzed by SEM test. The results show that the static compressive strength of four groups of rock samples with different water content decreases with the increase of freeze-thaw cycles. With the increase of water content, the static compressive strength also decreases gradually. Under the condition of the same impact pressure, the dynamic stress-strain curves of samples with different water contents all experienced elastic stage, nonlinear deformation stage and failure stage. The dynamic energy absorption rate decreases with the increase of freeze-thaw cycles, and the degree of fragmentation of the specimens is also increasing. With the increase of water content, the energy absorption rate showed a decreasing trend, and the fragments of the specimens gradually changed from block to granular or even powder. It can be seen from the SEM image that the internal structure of the dry rock is closely arranged, and the number of cracks and pores is relatively small, which has excellent resistance to impact power. With the increase of water content, the internal structure becomes more and more loose.
Segment Anything in Glaciology: An initial study implementing the Segment Anything Model (SAM)
Authors: Shankar Siddharth , Stearns Leigh A. , Veen Cornelis J. van der 
Published: June 2023

Abstract
Semantic segmentation is a critical part of observation-driven research in glaciology. Using remote sensing to quantify how features change (e.g. glacier termini, supraglacial lakes, icebergs, crevasses) is particularly important in polar regions, where features of interest may be spatially small but reflect important shifts in boundary conditions. In this study we assess the utility of the Segment Anything Model (SAM), released by Meta AI Research, for cryosphere research. SAM is a foundational AI model that generates segmentation masks without additional training data. This is highly beneficial in polar science because pre-existing training data rarely exist. Widely used conventional deep learning models such as UNet require tens of thousands of training labels to perform effectively. We show that the Segment Anything Model performs well for different features (icebergs, glacier termini, supra-glacial lakes, crevasses), in different environmental settings (open water, mélange, and sea ice), with different sensors (Sentinel-1, Sentinel-2, Planet, time-lapse photographs) and different spatial resolutions. Due to the performance, versatility, and cross-platform adaptability of SAM, we conclude that it is a powerful and robust model for cryosphere research.
No tight correlation between transcription and translation for highly expressed genes in Pseudomonas fluorescens
Authors: Ng Wenfa 
Published: June 2023

Abstract
Transcription is commonly assumed to correlate tightly with translation. Thus, protein level of an enzyme is similar to its mRNA transcript level, which opens up the use of RNA-seq transcriptomics as a proxy for probing gene expression patterns of different species and cell types under varied conditions. This work originally started as a curiosity-driven project to gain an understanding of Ribo-seq and how does it compare to RNA-seq. Results from the Ribo-seq and RNA-seq analysis of Pseudomonas fluorescens in suspension culture broth after a re-analysis of the original Fastq data from European Nucleotide Archive reveals no tight correlation between transcription and translation. Specifically, taking the ratio of translation with transcription reveals a range between 0.1 to 1.4 for highly expressed genes of P. fluorescens. With an average ratio of 0.4, it appears that translation is buffered for genes with high mRNA relative abundance. Such a result suggests that multiple feedback loops entwined gene expression at the transcription and translation level, possibly preventing runaway gene expression that consumes too much of the cellular resources. Genes with higher correlation between translation and transcription (ratio ~ 0.4 to 0.6) are ribosomal proteins, which provides further evidence of their dedicated roles in ribosome assembly and function that needs high protein and mRNA levels at the same time. Overall, common notion of tight correlation between translation and transcription may not be generally correct. In addition, negative feedback mechanism may be the dominant theme in regulating gene expression at the mRNA transcript and protein level, where protein abundance may regulate translation through tuning the strength of the ribosome binding site through evolutionary mechanisms.
Toward a comprehensive functional typology of stormwater control measures for hydrological and water quality modeling purposes
Authors: Tunqui Neira José Manuel , Gromaire Marie-Christine , Chancibault Katia , Chebbo Ghassan 
Published: June 2023

AbstractStormwater control measures (SCMs) are designed according to different urban stormwater management criteria. These criteria are usually the basis for the conception of SCM typologies. Although these typologies are useful, there is currently no typology that can generically describe all the diversity of SCMs and that is adapted for modeling. Thus, a new typology is proposed here. This typology is based on two criteria commonly used in stormwater management: the hydrological function and the type of structure. These two criteria are combined through a cross table. This combination yields the identification of 16 groups of SCMs represented graphically by physical compartments. These groups make it possible to represent a large diversity of existing SCMs. The new typology also allows a more adequate identification and conceptualization – via a reservoir-type approach – of the different hydrological and reactive processes occurring at the SCM level.
Ligand-mediated Targeted Drug Delivery Approaches against Hepatocellular
Carcinoma
Authors: Singh Amrita , Mishra Sudhanshu , Sharma Saurabh , Ojha Smriti , Yagnik Sunil , Pandey Sudhi 
Published: June 2023

Abstract:
One of the most important health problems in the world today is cancer. The World Health
Organization (WHO) reported that it results in 8.9 million deaths annually. Malignant tumours and
unregulated cell proliferation are features of malignant neoplasms, which can also invade nearby body
regions. Hepatocellular carcinoma is the third most prevalent cause of cancer-related death worldwide
and the fifth most common kind of cancer, according to a recent analysis. Patients with liver disease as
well as chronic hepatitis B and C are more likely to develop hepatocellular carcinoma (HCC). Physical
barriers, including RES absorption, opsonization, and first-pass drug metabolism, make drug therapy
more challenging. Conventional cancer therapy procedures have a low response rate or may continue
to be unsuccessful due to multi-drug resistance (MDR), high clearance rates, and other side effects
because of suboptimal drug distribution and insufficient drug concentration reaching cancer cells. Innovative
target drug molecules that are tailored to the injured liver cells must be developed in order to
improve medication administration and drug targeting. The use of targeting ligands that have been
joined to drug molecules or nanocarriers forms the basis of innovative targeting techniques. After being
conjugated with the treatment method, ligands for targeting hepatocellular carcinoma cells included
asialoglycoprotein, galactoside, lactobionic acid, mannose-6-phosphate, PDGF, antibodies, and aptamers.
KINERJA TIM KENDALI MUTU KENDALI BIAYA CABANG SURAKARTA DALAM PENGENDALIAN MUTU DAN BIAYA PADA PROGRAM JAMINAN KESEHATAN NASIONAL
Authors: Sholahuddin Sanjaya  , Dwi Handono Sulistyo  , Julita Hendrartini  
Published: June 2023

Background: Indonesia in 2014 implemented the National Health Insurance (JKN) program. The implementation of the comparison between contribution and health insurance expenditure in the Surakarta Branch Office is not optimal. The Coordinating Team in TKMKB plays an important role in JKN quality and cost control. Hence, we need to evaluate the performance with the TKMKB Surakarta Branch coordination team.
Objective: To evaluate the performance of TKMKB Surakarta Branch Coordination Team in quality and cost control of JKN program and to identify performance inhibiting factors.
Methods: The research was descriptive with case study design using qualitative approach focusing on developing the description and depth analysis about Coordination Team performance on national
health insurance program at Surakarta Branch Office. Performance was assessed based on the implementation of the job description. Data were collected using interviews and document review.
Results: The utilisation review task was not standardised yet because it was only implemented once and there was no monitoring and follow-up of utilisation review indicators, the discussion of the
problem and the evaluation of the policy has not been in accordance with the standards because the recommendation issues have not been in accordance with the issues raised. The socialisation of
authority, ethical guidance and professional discipline of health personnel have not been up to standard because they are not conveyed to all members of professional organisations. Factors that hamper
performance were limited time, lack of data access, and facilitation.
Conclusion: The performance of the Coordination Team on the task of utilisation review has not been optimal yet, the task of discussing the problem and the evaluation of the policy has not been
optimal, and in the task of authority socialisation, ethics coaching and health professional discipline has not been optimal. Factors that hinder performance were limited time, lack of data access, and
facilitation of TKMKB.