bluuebunny/crossref_metadata_2025_split huggingface dataset:
A highly sensitive MoS2 nanosheet gas sensor prepared by mechanically exfoliating for room temperature H2S detection
Authors: Yu Zhiyu , Li Pinghua , Liao Jialuo , Jin Yingyu , Li Gaolin , Zhuang Xuye 
Published: February 2024

Abstract
Hydrogen sulfide (H2S) is a hazardous gas that is highly hazardous to human health, even at extremely low concentrations. Due to surface defects easily caused by hydrothermal or stepwise self-assembly methods, the response of the molybdenum disulfide (MoS2) gas sensor usually does not exceed 60%. In this article, mechanical exfoliation and full dry transfer techniques were used to reduce the surface defects of MoS2 nanosheets, improving the response of gas sensors to H2S at room temperature. The response to H2S was about 80% at a concentration of 15 ppm and about 12% at a concentration as low as 500 ppb. In addition, for 10 ppm H2S, applying a negative gate voltage, the response can be increased by approximately 10% to enhance the gas response. This study demonstrates the enormous potential of the gas sensor based on mechanical exfoliated MoS2 nanosheets for detecting low concentrations of H2S, providing new insight into the materials preparation of highly sensitive gas sensors.
Cross-shaped nanoaperture nanoantennas inside plasmonic nanorings for large SERS enhancement and multiple hotspots
Authors: Ahmed Kaleem , Dhawan Anuj 
Published: February 2024

Abstract
We have designed a novel nanostructure consisting of a cross-shaped nanoaperture nanoantenna inside plasmonic nanorings for achieving very large values of electric field enhancement, as well as large theoretical surface-enhanced Raman scattering (SERS) enhancement factor, towards the center of the nanostructure. In this work, we employed Finite-difference-time-domain (FDTD) numerical modeling to simulate the plasmonic (gold) nanostructures present on silica substrates. We found that the nanostructures being proposed by us show very high localized electric field enhancements as well as multiple hotspots in which the electric field is enhanced and localized. We observed that these hotspots have large electric field enhancements (and therefore large theoretical SERS enhancement factors) at more than one wavelength. Thus, the proposed nanostructure can be used to achieve a multiple wavelength SERS response. The electric field enhancements and the resonance wavelengths of nanostructures can be tuned in the visible and the NIR region by modifying the nanostructure dimensions like the gap between the tips in the central nanoaperture structure, height of nanostructure, and tip angle variation. It is observed that as the number of gold nanorings increase, the electric field enhancement (as well as the theoretical SERS enhancement factor) also increase due to the focusing of light towards the center of nanostructure, and after the addition of a few rings, the electric field enhancement becomes almost constant. We also studied the polarization dependence of the nanostructure by varying the angle of polarization of the incident light to check the variation of the electric field of the nanostructure, and observed that the proposed nanostructures did not have much polarization dependence. Moreover, due to the symmetric nature of the plasmonic nanostructure, the position of the hotspot region shifts to the adjacent corner on rotating the incident field polarization. We optimized all the dimensional parameters to get the best possible theoretical SERS enhancement factor of ∼ 1010. Moreover, we simulated a periodic array of these plasmonic nanostructures on the silica substrates, having equal periodicity in X and Y directions, and achieved a theoretical SERS enhancement factor of ∼ 1011.
Quantum computing library for quantum chemistry applications
Authors: Makushin K M , Sapova M D , Fedorov A K 
Published: February 2024

Abstract
Quantum computing is aimed to solve tasks, which are believed to be exponentially hard to existing computational devices and tools. A prominent example of such classically hard problems is simulating complex quantum many-body systems, in particular, for quantum chemistry. However, solving realistic quantum chemistry problems with quantum computers encounters various difficulties, which are related, first, to limited computational capabilities of existing quantum devices and, second, to the efficiency of algorithmic approaches. In the present work, we address the algorithmic side of quantum chemistry applications by introducing a Python 3 code library, whose primary objective is to speed up the development of variational quantum algorithms for electronic structure problems. We describe the various features and capabilities of this library, including its ease in constructing customized versions of variational quantum algorithms. We elucidate how the developed library allows one to design quantum circuits and enable for the efficient execution of quantum algorithms. Furthermore, the library facilitates the integration of classical and quantum algorithms for hybrid computations and helps to realize the cross-verification of data with traditional computational methods, thereby enhancing the overall reliability of quantum chemistry simulations.
Ursolic acid loaded tri-block copolymer nanoparticles based on triphenylphosphine for mitochondria-targeted cancer therapy
Authors: Ding Jieqiong , Tan Jie , Peng Xiaohang , Cheng Liyuan , Huang Weiling , Luo Binhua 
Published: February 2024

Abstract
A novel biodegradable amphiphilic triblock copolymer, polyphosphate, polyethylene glycol, and polylactic acid (PAEEP-PEG-PLLA), was synthesized by twice ring-opening polymerization and triphenylphosphine (TPP) was grafted onto the block copolymer to synthesize a carrier material TPP-PAEEP-PEG-PLLA, which was identified by 1H-nuclear magnetic resonance (1H-NMR) spectroscopy. The TPP-PAEEP-PEG-PLLA nanoparticles encapsulated with ursolic acid (UA) were prepared by the emulsion-solvent evaporation method and characterized by dynamic light scattering. The mitochondrial targeting ability of fluorescently labeled nanoparticles was evaluated by laser confocal microscopy. The average particle size and surface charge of the UA -loaded nanoparticle solution were 180.07 ± 1.67 nm and +15.57 ± 1.33 mV, respectively. The biocompatibility of nanoparticles was briefly evaluated by erythrocyte hemolysis assay. In vitro cell proliferation assay and scratch migration assay were performed to compare the difference in anti-tumor effect between UA and UA nanoparticles. The results showed that TPP-modified triblock copolymers had good mitochondrial targeting and improved the low bioavailability of UA, and UA nanoparticles exhibited more pronounced anti-tumor capabilities. In summary, the results suggested that our UA nanoparticles were a promising drug-targeted delivery system for the treatment of tumors.
Transparent injectable sericin-honey hydrogel with antioxidant and antibacterial activities combined with feeding sericin accelerates diabetic wound healing
Authors: Wei Yongkang , Li Yanwei , Li Yurong , Xu Gang , Wu Tangfeng , Li Xiang , Ye Ruixi , Xi Meilin , Li Xiaomei , Zhang Guozheng , Zhang Yeshun 
Published: February 2024

Abstract
Wound healing in diabetics is often impaired or delayed due to the presence of high reactive oxygen species and low antioxidant levels. Here, a sericin-honey semi-interpenetrating network hydrogel with excellent antioxidant activity was prepared. Besides, the sericin-honey hydrogel is transparent, injectable, sticky, highly porous, and has good swelling properties, antibacterial activity, and cell compatibility. Based on its good performance in vitro, sericin-honey hydrogel achieved effective in vivo treatment on a mouse diabetic wound model, significantly accelerating the wound healing process. Furthermore, the combined effect of feeding sericin solution played a positive role in strengthening the effect of diabetic wound repair.
Exploration and identification of morphological characters of local Samosir shallot (Allium ascalonicum L.) accessions for sustainable agriculture
Authors: Hasanah Y , Hanafiah D S , Nursa’adah  , Tanjung D R , Purba G N 
Published: February 2024

Abstract
Samosir local shallots are a superior local resource commodity with a very distinctive taste and aroma, more pungent and fragrant, the color is redder and shiny. Currently, Samosir local shallots are experiencing a shortage therefore exploratory research is needed to obtain sources of quality planting material for sustainable agriculture. The objective of the research was to explore and identify the morphological characters of Samosir local shallots accessions at Bakti Raja District. The research method was carried out using a descriptive exploratory method. The results showed that the Samosir local shallots from all the accessions observed had cylindrical leaves with holes, with dark green leaf color, medium leaf size, low leaf density, umbrella-like flower shape, white flower color and purple/white bulb color. There is diversity in the shape of the bulb, namely Siunong-unong Julu accession, Simangulampe 1 and Simangulampe 2 have a globe tuber shape, while Simamora 1 accession has broad elliptic leaf shapes, Simamora 2, Simamora 3, Simamora 4 Marbun Tonga Dolok, Tipang 1 and Tipang 2 has a broad oval shape. Tipang 2 accession had the highest weight of 100 dry shallot bulbs, Simangulampe 1 and Simangulampe 2 accessions had the highest tuber diameter.
Comparative effectiveness of sacubitril/valsartan versus angiotensin receptor blockers in patients with heart failure with preserved ejection fraction: A real-world study
Authors: Riaz Munaza , Smith Steven M , Dietrich Eric A , Winchester David E , Guo Jingchuan , Park Haesuk 
Published: February 2024

Abstract

Purpose
Sacubitril/valsartan (SAC/VAL) or angiotensin receptor blockers (ARBs) are recommended therapy for heart failure with preserved ejection fraction (HFpEF), but little is known about their real-world comparative effectiveness among patients with HFpEF. The objective of this study was to determine the comparative effectiveness of SAC/VAL vs ARBs in preventing HF-related hospitalization or all-cause hospitalization among patients with HFpEF.

Methods
We conducted a cohort study using IBM MarketScan commercial and Medicare supplemental databases to identify patients aged 18 years or older with a diagnosis of HFpEF and initiation of SAC/VAL (2015-2020) or ARB (2009-2014) therapy. The index date was the date of the first SAC/VAL or ARB prescription fill. After propensity score (PS) matching with a ratio of 1 up to 3, Cox proportional hazards regression was used with robust variance estimators to compare the risks of HF-related hospitalization and all-cause hospitalization between the 2 therapies. Several subgroup and sensitivity analyses were conducted to check the robustness of the main analysis.

Results
After PS matching, 2,520 patients (846 receiving SAC/VAL and 1,674 receiving an ARB) were included in the final analyses. After controlling for covariates, there was no difference in the risk of HF-related hospitalization between SAC/VAL and ARB recipients (adjusted hazard ratio [aHR], 1.33; 95% confidence interval [CI], 0.99-1.77). There was also no difference in the risk of all-cause hospitalization between SAC/VAL and ARB recipients (aHR, 1.06; 95% CI, 0.91-1.24).

Conclusion
Among individuals with private or Medicare Advantage insurance plans, there was no significant difference in the risk of HF-related hospitalization or all-cause hospitalization between adults with HFpEF who received SAC/VAL and those who received ARB therapy.
Fracture risk based on high-resolution peripheral quantitative computed tomography measures does not vary with age in older adults—the bone microarchitecture international consortium prospective cohort study
Authors: Szulc Pawel , Dufour Alyssa B , Hannan Marian T , Kiel Douglas P , Chapurlat Roland , Sornay-Rendu Elisabeth , Merle Blandine , Boyd Steven K , Whittier Danielle E , Hanley David A , Goltzman David , Wong Andy Kin On , Lespessailles Eric , Khosla Sundeep , Ferrari Serge , Biver Emmanuel , Bouxsein Mary L , Samelson Elizabeth J 
Published: February 2024

Abstract
Fracture risk increases with lower areal bone mineral density (aBMD); however, aBMD-related estimate of risk may decrease with age. This may depend on technical limitations of 2-dimensional (2D) dual energy X-ray absorptiometry (DXA) which are reduced with 3D high-resolution peripheral quantitative computed tomography (HR-pQCT). Our aim was to examine whether the predictive utility of HR-pQCT measures with fracture varies with age. We analyzed associations of HR-pQCT measures at the distal radius and distal tibia with two outcomes: incident fractures and major osteoporotic fractures. We censored follow-up time at first fracture, death, last contact or 8 years after baseline. We estimated hazard ratios (HR) and 95%CI for the association between bone traits and fracture incidence across age quintiles. Among 6835 men and women (ages 40–96) with at least one valid baseline HR-pQCT scan who were followed prospectively for a median of 48.3 months, 681 sustained fractures. After adjustment for confounders, bone parameters at both the radius and tibia were associated with higher fracture risk. The estimated HRs for fracture did not vary significantly across age quintiles for any HR-pQCT parameter measured at either the radius or tibia. In this large cohort, the homogeneity of the associations between the HR-pQCT measures and fracture risk across age groups persisted for all fractures and for major osteoporotic fractures. The patterns were similar regardless of the HR-pQCT measure, the type of fracture, or the statistical models. The stability of the associations between HR-pQCT measures and fracture over a broad age range shows that bone deficits or low volumetric density remain major determinants of fracture risk regardless of age group. The lower risk for fractures across measures of aBMD in older adults in other studies may be related to factors which interfere with DXA but not with HR-pQCT measures.
AI covers: legal notes on audio mining and voice cloning
Authors: Baris Antonios 
Published: February 2024

Abstract
This article explores the impact of Artificial Intelligence (AI) on the music industry, particularly focusing on the case of AI-generated covers. The emergence of AI technologies has been raising concerns not just about the originality and protection of AI-generated outputs but also about the complex input and training phase of those systems. The focus of this contribution is the latter, analysing the case of AI covers from the perspective of copyright and image rights. In the first part, an overview of the text and data mining (TDM) exception found in Article 4 of Directive 2019/790 is presented, with a primary focus on the opt-out mechanism in connection with the three-step test. Moving to the second part, the analysis delves into the complexities of voice cloning, highlighting the absence of a comprehensive European Union regime for image rights. By addressing these issues, this contribution unveiled two crucial points. First, AI models trained on various artists’ works to create and spread deepfake covers not only violate copyright but also reveal shortcomings in the TDM exception. Second, while the multifaceted image right regime may not be as exhaustive as necessary, it proves to be a viable solution against voice cloning with anticipated advancements in the future.
Beyond Conceptual Analysis: Social Objectivity and Conceptual Engineering to Define Disease
Authors: Gagné-Julien Anne-Marie 
Published: February 2024

AbstractIn this article, I side with those who argue that the debate about the definition of “disease” should be reoriented from the question “what is disease” to the question of what it should be. However, I ground my argument on the rejection of the naturalist approach to define disease and the adoption of a normativist approach, according to which the concept of disease is normative and value-laden. Based on this normativist approach, I defend two main theses: (1) that conceptual analysis is not the right method to define disease and that conceptual engineering should be the preferred method and (2) that the method of conceptual engineering should be implemented following the principles of Alexandrova’s account of social objectivity in the context of the definition of disease.
Reference-Class Problems Are Real: Health-Adjusted Reference Classes and Low Bone Mineral Density
Authors: Binney Nicholas 
Published: February 2024

Abstract
Elselijn Kingma argues that Christopher Boorse’s biostatistical theory (the BST) does not show how the reference classes it uses are objective and naturalistic. Recently, philosophers of medicine have attempted to rebut Kingma’s concerns. I argue that these rebuttals are theoretically unconvincing, and that there are clear examples of physicians adjusting their reference classes according to their prior knowledge of health and disease. I focus on the use of age-adjusted reference classes to diagnose low bone mineral density in children. In addition to using the BST’s age, sex, and species, physicians also choose to use other factors to define reference classes, such as pubertal status, bone age, body size, and muscle mass. I show that physicians calibrate the reference classes they use according to their prior knowledge of health and disease. Reference classes are also chosen for pragmatic reasons, such as to predict fragility fractures.
The Disease Loophole: Index Terms and Their Role in Disease Misclassification
Authors: Roberts Alex N 
Published: February 2024

Abstract
The definitions of disease proffered by philosophers and medical actors typically require that a state of ill health be linked to some known bodily dysfunction before it is classified as a disease. I argue that such definitions of disease are not fully implementable in current medical discourse and practice. Adhering to the definitions would require that medical actors keep close track of the current state of knowledge on the causes and mechanisms of particular illnesses. Yet, unaddressed problems in medical terminology can make this difficult to do. I show that unrecognized misuse of “heterogeneous,” “biomarker,” and other important health terms—which I call index terms—can misrepresent the current empirical evidence on illness pathophysiology, such that unvalidated illness constructs become mistaken for diseases. Thus, implementing common definitions of disease would require closing this “loophole” in medical discourse. I offer a simple rule that, if followed, could help do just that.
Using deep learning to analyse the times of the UN Security Council
Authors: Blanke Tobias 
Published: February 2024

Abstract
This article analyses how digital humanities scholarship can make use of recent advances in deep learning to analyse the temporal relations in an online textual archive. We use transfer learning as well as data augmentation techniques to investigate changes in United Nations Security Council resolutions. Instead of pre-defined periods, as it is common, we target the years directly. Such a text regression task is novel in the digital humanities as far as we can see and has the advantage of speaking directly to historical relations. We present not only very good experimental results but also demonstrate how such text regressions can be interpreted directly and with surrogate topic models.
What makes elites more or less egalitarian? Variations in attitudes towards inequality within the economic, political and cultural elites in Chile
Authors: Carranza Rafael , Contreras Dante , Otero Gabriel 
Published: February 2024

Abstract
This article investigates how the type of elite to which a person belongs and their intergenerational contextual experiences are associated with attitudes towards inequality among elite individuals. We propose that membership of the economic elite and access to private schools, higher education business schools and affluent residential areas may contribute to the development of views that favour inequality. Using unique survey data collected in 2018 from a sample of 416 individuals belonging to Chile’s economic, political and cultural elites, we construct an additive score to measure attitudes towards inequality. Results of our regression analyses indicate that individuals belonging to the economic and political elite are more tolerant of inequality than members of the cultural elite. Moreover, intergenerational experiences at both private schools and higher education business schools significantly contribute to the formation of attitudes that favour inequality. These contextual experiences also relate to significant attitudinal variations within all elite groups.
Adding Vertebral Bone Quality to the Fusion Risk Score
Authors: Ramos Omar , Razzouk Jacob , Beauchamp Eduardo , Mueller Benjamin , Shafa Eiman , Mehbod Amir A. , Cheng Wayne , Danisa Olumide , Carlson Bayard C. 
Published: February 2024

Study Design.Retrospective review of prospectively collected data.Objective.The current study evaluates whether the addition of the Vertebral Bone Quality (VBQ) score to the Fusion Risk Score (FRS) improves its ability to predict perioperative outcomes.Summary of Background Data.The FRS was developed to assess preoperative risk in patients undergoing thoracic and lumbar fusions. It includes patient-derived and surgical variables, but it does not include one that directly accounts for bone health. The VBQ score allows assessment of bone quality and has been shown to correlate to DEXA-measured bone mineral density (BMD) scores.Methods.The VBQ score was weighted based on a regression model and then added to the FRS (FRS/VBQ). The ability of the two scores to predict the outcomes was then assessed using the area under the curve (AUC).Patient sample.Patients undergoing elective thoracic and lumbar spinal fusion from January 2019 to June 2020 were included.Outcome measures.The study evaluated various perioperative adverse outcomes, including major and minor adverse events, discharge other than home, extended length of stay, 90-day emergency department visits, 90-day readmission, and 90-day and 2-year reoperation rates.Results.A total of 353 met the inclusion and exclusion criteria. The FRS/VBQ demonstrated improved predictive ability compared with the FRS alone when evaluating 90-day reoperation. Both scores showed fair predictive ability for any adverse event, major adverse events, minor adverse events, and 2-year reoperation rates, with AUCs ranging from 0.700 to 0.737. Both had poor predictive ability for the other outcomes.Conclusions.Adding VBQ to the FRS significantly enhances its predictive accuracy for reoperation rate. This updated risk score provides a more comprehensive understanding of a patient’s preoperative risk profile, aiding both patients and physicians in assessing surgical risks and optimizing outcomes through preoperative risk stratification.Level of Evidence.3.