bluuebunny/crossref_metadata_2025_split huggingface dataset:
Absolute permeability estimation from microtomography rock images through deep learning super-resolution and adversarial fine tuning
Authors: de Castro Vargas Fernandes Júlio , Duarte Vidal Alyne , Carvalho Medeiros Lizianne , Menezes dos Anjos Carlos Eduardo , Surmas Rodrigo , Gonçalves Evsukoff Alexandre 
Published: July 2024

AbstractThe carbon capture and storage (CCS) process has become one of the main technologies used for mitigating greenhouse gas emissions. The success of CCS projects relies on accurate subsurface reservoir petrophysical characterization, enabling efficient storage and captured $$\textrm{CO}_2$$

CO
2

containment. In digital rock physics, X-ray microtomography ($$\upmu $$
μ
-CT) is applied to characterize reservoir rocks, allowing a more assertive analysis of physical properties such as porosity and permeability, enabling better simulations of porous media flow. Estimating petrophysical properties through numeric simulations usually requires high-resolution images, which are expensive and time-inefficient to obtain with $$\upmu $$
μ
-CT. To address this, we propose using two deep learning models: a super-resolution model to enhance the quality of low-resolution images and a surrogate model that acts as a substitute for numerical simulations to estimate the petrophysical property of interest. A correction process inspired by generative adversarial network (GAN) adversarial training is applied. In this approach, the super-resolution model acts as a generator, creating high-resolution images, and the surrogate network acts as a discriminator. By adjusting the generator, images that correct the errors in the surrogate’s estimations are produced. The proposed method was applied to the DeePore dataset. The results shows the proposed approach improved permeability estimation overall.
Open-loop quantum control of small-size networks for high-order cumulants and cross-correlations sensing
Authors: D’Arrigo Antonio , Piccitto Giulia , Falci Giuseppe , Paladino Elisabetta 
Published: July 2024

AbstractQuantum control techniques are one of the most efficient tools for attaining high-fidelity quantum operations and a convenient approach for quantum sensing and quantum noise spectroscopy. In this work, we investigate dynamical decoupling while processing an entangling two-qubit gate based on an Ising-xx interaction, each qubit affected by pure dephasing classical correlated 1/f-noises. To evaluate the gate error, we used the Magnus expansion introducing generalized filter functions that describe decoupling while processing and allow us to derive an approximate analytic expression as a hierarchy of nested integrals of noise cumulants. The error is separated in contributions of Gaussian and non-Gaussian noise, with the corresponding generalized filter functions calculated up to the fourth order. By exploiting the properties of selected pulse sequences, we show that it is possible to extract the second-order statistics (spectrum and cross-spectrum) and to highlight non-Gaussian features contained in the fourth-order cumulant. We discuss the applicability of these results to state-of-the-art small networks based on solid-state platforms.
Fabrication of nickel phytate modified bio-based polyol rigid polyurethane foam with enhanced compression-resistant and improved flame-retardant
Authors: Zhang Xu , Wang Zhaoqian , Ding Shuai , Wang Zhi 
Published: July 2024

AbstractA bio-based flame retardant nickel phytate (PA-Ni) was synthesized and combined with soybean oil-based polyol (SO) to create a green rigid polyurethane foam (RPUF) with enhanced compressive strength, good thermal stability and flame retardant. The results showed that the RPUF-SO2/Ni3 with 3 wt% PA-Ni had the highest initial and termination temperature, maximum thermal decomposition rate temperature and carbon residue, and better thermal stability. Its limiting oxygen index was increased by 2.6% compared with RPUF-SO2 without PA-Ni added, and the peak heat release rate (PHRR) and total heat release rate (THR) were reduced by 14.92% and 19.92%, respectively. In addition, RPUF-SO2/Ni3 had the lowest Ds under the conditions of flame (18.90) and flameless (22.41), and had the best smoke suppression effect. And the compressive strength of RPUF-SO/Ni3 was significantly enhanced by the addition of PA-Ni. The results show that the improvement of flame retardancy of RPUF is mainly the result of the combined effect of gas-phase and condensed-phase flame retardancy, among which the flame retardancy of RPUF-SO/Ni3 was the best. The current findings offer a practical way to produce green and low-carbon RPUF as well as promising prospects for the material's safe application.
The use of a protein network analysis to explore the complexity of early skin inflammation after oronasal mask application- A pilot study
Authors: Feldt Amanda , Ghafouri Bijar , Worsley Peter R. , Bergstrand Sara 
Published: July 2024

AbstractMedical devices, such as non-invasive ventilation masks, save lives in health care settings but can be a cause of tissue injuries due to the pressure and shear loads on skin and soft tissue. These pressure injuries could be painful for the individual and cause a significant economic impact on healthcare providers. In the etiology of device related pressure ulcers, inflammation plays an important role. However, the exact nature and timing of inflammatory biomarker upregulation is still unknown in the early stages of skin damage. This study aimed to explore the inflammatory profile of vulnerable skin sites following non-invasive mask application on a convenience sample of eleven hospital patients. Seventy-one inflammatory proteins were explored from sebum sampled at the skin surface after oronasal mask application. A multivariate analysis to investigate differences between loaded and control site was conducted, with a protein network analysis used to explore interactions in the early inflammation. The study revealed that 21 cytokines and chemokines were important for the separation between loaded and control site. These proteins were associated with remodeling of tissue, vascular wound healing and/or cell death.
Weak shock compaction on granular salt
Authors: Seo Dawa , Heatwole Eric M. , Feagin Trevor A. , Lopez-Pulliam Ian D. , Luscher Darby J. , Koskelo Aaron , Kenamond Mack , Rousculp Christopher , Ticknor Christopher , Scovel Christina , Daphalapurkar Nitin P. 
Published: July 2024

AbstractThis study conducted integrated experiments and computational modeling to investigate the speeds of a developing shock within granular salt and analyzed the effect of various impact velocities up to 245 m/s. Experiments were conducted on table salt utilizing a novel setup with a considerable bore length for the sample, enabling visualization of a moving shock wave. Experimental analysis using particle image velocimetry enabled the characterization of shock velocity and particle velocity histories. Mesoscale simulations further enabled advanced analysis of the shock wave’s substructure. In simulations, the shock front’s precursor was shown to have a heterogeneous nature, which is usually modeled as uniform in continuum analyses. The presence of force chains results in a spread out of the shock precursor over a greater ramp distance. With increasing impact velocity, the shock front thickness reduces, and the precursor of the shock front becomes less heterogeneous. Furthermore, mesoscale modeling suggests the formation of force chains behind the shock front, even under the conditions of weak shock. This study presents novel mesoscale simulation results on salt corroborated with data from experiments, thereby characterizing the compaction front speeds in the weak shock regime.
Foodborne bacteria in milk and milk products along the water buffalo milk chain in Bangladesh
Authors: Singha Shuvo , Koop Gerrit , Rahman Md. Mizanur , Ceciliani Fabrizio , Howlader Md. Matiar Rahman , Boqvist Sofia , Cremonesi Paola , Hoque M. Nazmul , Persson Ylva , Lecchi Cristina 
Published: July 2024

AbstractControlling foodborne pathogens in buffalo milk is crucial for ensuring food safety. This study estimated the prevalence of nine target genes representing seven critical foodborne bacteria in milk and milk products, and identified factors associated with their presence in buffalo milk chain nodes in Bangladesh. One hundred and forty-three milk samples from bulk tank milk (n = 34), middlemen (n = 37), milk collection centers (n = 37), and milk product shops (n = 35) were collected and analyzed using RT-PCR. Escherichia (E.) coli, represented through yccT genes, was the most prevalent throughout the milk chain (81–97%). Chi-squared tests were performed to identify the potential risk factors associated with the presence of foodborne bacteria encoded for different genes. At the middleman level, the prevalence of E. coli was associated with the Mymensingh, Noakhali, and Bhola districts (P = 0.01). The prevalence of Listeria monocytogenes, represented through inlA genes, and Yersinia (Y.) enterocolitica, represented through yst genes, were the highest at the farm level (65–79%). The prevalence of both bacteria in bulk milk was associated with the Noakhali and Bhola districts (P < 0.05). The prevalence of Y. enterocolitica in bulk milk was also associated with late autumn and spring (P = 0.01) and was higher in buffalo-cow mixed milk than in pure buffalo milk at the milk collection center level (P < 0.01). The gene stx2 encoding for Shiga toxin-producing (STEC) E. coli was detected in 74% of the milk products. At the middleman level, the prevalence of STEC E. coli was associated with the use of cloths or tissues when drying milk containers (P = 0.01). Salmonella enterica, represented through the presence of invA gene, was most commonly detected (14%) at the milk collection center. The use of plastic milk containers was associated with a higher prevalence of Staphylococcus aureus, represented through htrA genes, at milk product shops (P < 0.05). These results suggest that raw milk consumers in Bangladesh are at risk if they purchase and consume unpasteurized milk.
Unprecedented nor-seco-polycyclic polyprenylated acylphloroglucinols counteract myocardial cell injury via activation of the Akt/mTOR signaling pathway
Authors: Wei Jiangchun , Fan Pingping , Jin Xingpiao , Li Xinping , Li Zhiyue , Chen Xuanluan , Zeng Hanxiao , Wu Zhengzhi , Zhang Yonghui , Hu Zhengxi 
Published: July 2024

Five nor-seco-PPAPs with a novel linear 5-5/6/5 tetracyclic skeleton (1–5) were isolated from Hypericum monogynum. 1 may elicit its protective effect against H2O2-induced myocardial cell injury via activation of the Akt/mTOR signaling pathway.
Five Questions to Help Prompt End-of-Life Planning in Neuromuscular Disease
Authors: Lipanot Benjamin J. , Bosslet Gabriel 
Published: July 2024

AbstractPatients with neuromuscular disease are living longer lives but continue to have significant and often unpredictable morbidity and mortality. End-of-life planning for these patients is thus an essential part of their medical care. This planning should include the following topics: health care surrogates, swallowing and nutrition, daytime respiratory support, and all aspects of when end of life is near. Adult-onset and early-onset diseases may require different approaches to these topics. All patients with neuromuscular disease will benefit from these discussions to best reach patient-centered goals. We present health care providers these five questions and explanations as a guide.
Study on the aging characteristics of PET for SF6 gas-insulated transformer
Authors: Zhang Daning , Xu Haisong , Yang Dingqian , Wang Qian , Mu Haibao , Zhang Guanjun 
Published: July 2024

SF6 gas insulated transformers (GITs) are extensively utilized in underground substations within densely populated areas of large- and medium-sized cities, praised for their excellent non-flammability and operational reliability. However, the aging characteristics of gas–solid composite insulation (SF6–PET) within GITs remain unclear, complicating the effective evaluation of their aging condition. In this study, we performed accelerated thermal aging experiments on type 6020 polyethylene terephthalate (PET) films under an SF6 gas environment at 150 °C. We investigated the aging characteristics of PET materials at various stages using differential scanning calorimetry, tensile tests, near-infrared spectroscopy (NIRS), and frequency domain dielectric spectroscopy. Our findings indicate that the crystallinity and fracture elongation of PET materials initially increased before decreasing as aging progressed, while tensile strength steadily declined. In addition, the absorption rate observed in NIRS diminished with aging. Utilizing linear discriminant analysis, we achieved dimension reduction of characteristic parameters across different wavelengths, facilitating the classification of PET materials at diverse aging times. The tan δ–f curves of PET films initially decreased and subsequently rose with aging. By applying the Havriliak–Negami (H–N) dielectric relaxation model across three distinct frequency bands of the dielectric spectrum, a significant correlation was discerned between the aging state of PET materials and the characteristic relaxation peaks, τ1 and τ2. Fitting the H–N relaxation model and Arrhenius equation allowed us to negate the impact of “temperature drift,” yielding an interface polarization activation energy of Ea = 0.69 eV. This research on the aging performance of PET materials in an SF6 gas atmosphere provides a vital foundation for assessing the aging state of SF6-insulated GITs.
Insubordination and what happens after it
Authors: Sideltsev Andrei V. 
Published: July 2024

Abstract
One of the sources of irrealis markers is former markers of conditional sentences, both protases and apodoses,
both factual and counterfactual. The development, amply documented cross-linguistically, is that of insubordination: a former
marker of subordination is used as an irrealis marker in main clauses. However, the next stage of development is not commonly
observed: when irrealis markers that came into being as the result of insubordination and are used in main clauses spread back to
their original locus, conditional sentences. The paper deals with a clear attestation of this pattern in Hittite, an extinct
Indo-European language. It is argued that the development is part of a linguistic cycle of the ‘broken’ kind, i.e., that the cycle
changed by other processes simultaneously operating in the language.
How pragmatically (in)definite are you and
one?
Authors: Sorlin Sandrine 
Published: July 2024

Abstract
This chapter focuses on two specific pronominal
‘imposters’, you and one as used in
Orwell’s semi-autobiographical text Down and Out in Paris and
London (1933). It
studies the ‘definite-indefinite’ and ‘specific-generic’ potential of the
pronouns via the same theoretical framework put forward in Sorlin (2022) with regard to the
second-person pronoun, the better to appreciate the similarities and
differences between the two pronouns. The aim of this chapter is to
investigate the way the two pronouns foreground (and background) their
egocentric and altruistic orientation and to what pragmatic purposes. The
pronominal comparison within the same corpus allows to perceive why
one tends to be used in lieu of you
(and vice versa) in strategic places of the essay.
Projected impact of solar radiation modification geoengineering on water deficit risk over major Central African river basins
Authors: Fotso-Nguemo Thierry C , Chouto Steven , Nghonda Jean P , Diedhiou Arona , Kravitz Ben , Yepdo Zéphirin D , Djuidje Flore K , Abiodun Babatunde J 
Published: July 2024

Abstract
The economy of Central African countries strongly depends on rain-fed agriculture and hydropower generation. However, most countries in this subregion do not yet have the irrigation technologies that are already applied in many more advanced nations, which further exposes them to the serious risk of severe drought caused by global warming. This study investigates the potential impact of solar radiation modification (SRM) geoengineering on the water availability over the four major river basins that cross most of Central African countries (i.e. Niger Basin, Lake Chad Basin, Cameroon Atlantic Basin (CAB) and Congo Basin). For this purpose a potential water availability index was computed based on an ensemble-mean simulations carried out in the framework of Phase 6 of the Geoengineering Model Intercomparison Project considering two SRM simulation experiments: the stratospheric sulphate aerosol injection (G6sulfur) and the global solar dimming (G6solar). The climate change simulation results in a robust decreases by up to 60% in water availability, most pronounced over the CAB under the high radiative forcing scenario. Therefore, in a business-as-usual world, the reduction in water availability combined with the rapid population growth expected by 2050 in the studied subregion, could result in a significant water deficit over Central African countries towards the end of the 21st century. This water deficit could affect all activities that depend on water resources, such as water supply, agriculture and hydropower generation. Furthermore, the results also show that SRM methods have the potential to significantly reduce this deficit by increasing water availability (as compared to climate change) by up to 50% over the affected river basins, with a more accentuated increase found in the CAB when the global solar dimming is applied. These results suggest good possibilities of adaptation for populations living in the geographical areas of these river basins.
Investigating the Impact of Annealing Temperature on CdS Nanoparticles: Optimizing Solar Photovoltaic Efficiency
Authors: Kumar Mahato Prabin , Chaudhuri Swarat , Lal Patel Shankar , Patra Prashanta 
Published: July 2024

Abstract
The development of solar photovoltaic (PV) technology in the era of nanotechnology plays a crucial role in the advancement of renewable energy technologies. CdS is a vibrant candidate for numerous applications and the properties of CdS nanoparticles could be tailored and enhanced by annealing treatment. The present work unveils the impact of air annealing temperature on the tailoring of microstructural and optical properties of CdS nanoparticles. A facile chemical co-precipitation technique is employed to synthesize the CdS nanoparticles followed by annealing at 200°C and 400°C for 1 hour. The XRD patterns exhibit that nanoparticles are crystallized in hexagonal wurtzite crystal structure with (002) and (101) preferred orientations depending upon the annealing condition where the interplanar spacing and crystallite size corresponds to preferred peaks concerned ranging from 3.15-3.34 Å and 13-24 nm, respectively. Optical analysis reveals that transmittance is found less than 20% up to 500 nm and then abruptly increases in higher visible regions. The absorbance of nanoparticles is improved with annealing whereas band gap decreased from 2.19 eV to 2.02 eV. EDS pattern of as-grown samples confirmed the impurity-free synthesis of CdS nanoparticles. The FESEM micrographs revealed the formation of nano spherical grains for as-grown samples while nanoflake-like grain structures are visible for 400°C annealed nanoparticles. The novelty of this study lies in its comprehensive exploration of the impact of annealing temperature on the microstructure and optical characteristics of CdS nanoparticles.
LC Based Active Cell Balancing for Efficient Energy Management in Automotive Batteries
Authors: Ackshaya V , Naveen Shankar S , Sri Balaji G , Mathankumar M 
Published: July 2024

Abstract
When every single cell in the body has the same voltage and capacity, it is said to be in cell balance. Maintaining the identical state-of-charge for each cell in a multi-cell pack by balancing contributes to the pack’s maximum capacity and service life. Two basic techniques of balancing exist: Overcharged cells lose charge due to passive balancing, which dissipates the stored energy as heat. Active balancing distributes energy from abundant cells to least cells to preserve battery pack energy. Battery management systems (BMS) use resistors to achieve passive cell balancing, which balances the states of charge in individual cells. Every cell has a resistor connected in parallel with it. The matching resistor is triggered when a cell is charged too much, releasing extra energy as heat. Until all cells have voltages that are comparable, this process is repeated. Active balancing is more efficient than passive balancing, and less expensive. In BMS, energy is transferred between cells to balance their state of charge, a process known as active cell balancing. It controls the flow of energy by using electronic parts like capacitors and inductors. Active balancing can quickly balance cells or correct large voltage imbalances since it is more sophisticated and effective than passive balancing. A cell’s state of charge (SOC) represents its current capacity as a function of its rated capacity. This technology optimizes battery performance, prolonging overall lifespan and promoting reliable energy management in electric vehicles. By minimizing voltage deviations, LC-based balancing contributes to increased driving range and sustained battery health.
Smart and Sustainable Energy Systems: Enhanced Transmission of EEG Signals in Telemedicine Applications using Soft Output Viterbi Turbo Decoder
Authors: Santhosh Kumar K. B. , Sujatha B. R. , Sushma N. , Rao Kolli Venkateswara 
Published: July 2024

Abstract
In the era of telemedicine, where remote treatment is gaining traction, the reliable transmission of biomedical signals is paramount. Turbo Coding has emerged as a pivotal method due to its robust performance and quality of service. However, the inherent complexity of Turbo decoders presents a significant hurdle. This paper investigates the efficacy of Soft Output Viterbi Algorithm (SOVA), Logarithmic MAP (Log-MAP), and Maximum A posteriori Probability (MAP) decoding techniques within Turbo decoding, crucial for real-time telemedicine applications. Focusing specifically on EEG signal transmission, we employ wireless channels and Turbo coding to enhance reliability. Viterbi decoding is leveraged to mitigate complexity, with an in-depth analysis of the SOVA algorithm’s Bit Error Rate performance across various parameters. This research enhances telemedicine by improving the reliability of biomedical signal transmission. Through efficient decoding techniques like Soft Output Viterbi Turbo Decoder, it ensures timely and accurate healthcare delivery. By reducing the need for patient travel and optimizing energy consumption, it aligns with Smart and Sustainable Energy Systems goals. This contributes to global healthcare accessibility and sustainability by minimizing carbon footprint and resource utilization. Ultimately, it promotes efficient, dependable, and eco-friendly healthcare solutions for all.