bluuebunny/crossref_metadata_2025_split huggingface dataset:
Semiconductor nanocrystals‐based triplet‐triplet annihilation photon‐upconversion: Mechanism, materials and applications
Authors: Chen Kezhou , Luan Qingxin , Liu Tiegen , Albinsson Bo , Hou Lili 
Published: December 2024

AbstractTriplet‐triplet annihilation photon upconversion (TTA‐UC) has emerged as a promising strategy for enhancing solar energy harvesting efficiency by converting two low‐energy, long‐wavelength photons into a high‐energy, short‐wavelength photon. In recent years, semiconductor nanocrystals have gained significant attention as efficient photosensitizers for TTA‐UC due to their excellent triplet energy transfer efficiency and the ability to tune their bandgap across the solar spectrum. This review focuses on the mechanism of NC‐based TTA‐UC, emphasizing key parameters to evaluate the performance of TTA‐UC systems. The influence of various material‐related factors on the overall NC‐based TTA‐UC performance is thoroughly discussed. Moreover, recent advances in solid‐state approaches for NC‐based TTA‐UC are highlighted, along with an overview of the current status of applications in this field. Lastly, this review identifies the challenges and opportunities that lie ahead in the future development of NC‐based TTA‐UC, providing insights into the potential advancements and directions for further research.
Facile Hydrothermal Synthesis and Characterization of NdCoO₃@Nd₂O₃/rGO Hybrid for Electrochemical Sensing of Alpha‐Lipoic Acid and Supercapacitor Application
Authors: Korgaonkar Karuna , Teradal Nagappa L. , Seetharamappa J. 
Published: December 2024

AbstractThe present study reports a facile, simple, and eco‐friendly hydrothermal method of preparation of nanocomposite material, NdCoO3@Nd2O3‐rGO, and its utility as an electrochemical sensor and energy storage device. The synthesized NdCoO3@Nd2O3‐rGO nanocomposite was investigated in terms of structural and morphological characteristics. The electrochemical sensing performance of the reported material was tested by analyzing an antioxidant, α‐lipoic acid (ALA), in pharmaceutical formulations and biological samples. The sensing capability of demonstrated material was noticed to be improved by 28‐fold when compared to that at bare glassy carbon electrode. Good linearity was observed between the peak current and concentration of ALA in the range of (0.05–20.92) × 10−6 mol/L and (0.02–28.06) × 10−6 mol/L for DPV and SWV methods, respectively. Further, the electrochemical energy storage ability of NdCoO3@Nd2O3‐rGO was also investigated. For this, NdCoO3@Nd2O3‐rGO was fabricated over NF for supercapacitor application. The NdCoO3@Nd2O3‐rGO/NF electrode showed good super capacitive properties with a specific capacitance of 1502.22 F/g at a current density of 1 A/g in 1 M KOH electrolyte. The electrode showed good cycling stability with a retention of 78.0% after 5000 cycles.
DNA‐Assisted Separation of Nanoparticles
Authors: Sun Ying , Liu Yuchuan , Song Daqian , Chen Feng 
Published: December 2024

AbstractDNA, as natural polymers, not only serves as the genetic material but also shows great potential as assistants for efficient and targeted nanoparticle separation. This is due to its high programmability, excellent biocompatibility, and stability for effectively binding with various types of nanoparticles or bioparticles, while modifying physical properties of target particles such as charge, mass and size. Researchers have achieved remarkable efficiency in separating nanoparticles by precisely designing DNA sequences and their interactions with target particles. This achievement primarily relies on the differences in physical properties of nanoparticles or medium modulated by DNA. In this minireview, diverse strategies are overviewed using DNA to assist nanoparticles separation, and the applications of these separation strategies are highlighted. Finally, the current challenges and prospects in DNA‐assisted nanoparticles separation are discussed.
A Highly Sensitive RP HPLC‐PDA Analytical Method for Detection and Quantification of a Newly Synthesized (E‐2‐((E)‐4‐(5‐Ethoxy‐3‐Methyl‐1‐Phenyl‐1H‐Pyrazole‐4‐yl)but‐3‐en‐2‐Ylidene)) Hydrazine‐1‐Carbothioamide in Nanosuspension
Authors: Igbokwe Nkeiruka N. , Ismail Eman A. , Obakachi Vincent A. , Gamede Mlindeli , Karpoormath Rajshekhar , Faya Mbuso 
Published: December 2024

ABSTRACTAnalytical methods development and validation are vital for the precise detection, quantification, and characterization of novel therapeutic compounds, especially those with poor aqueous solubility, such as pyrazolone derivatives. This study aimed to develop and validate a sensitive, accurate, and efficient RP HPLC‐PDA method for the detection and quantification of novel (E‐2‐((E)‐4‐(5‐ethoxy‐3‐methyl‐1‐phenyl‐1H‐pyrazole‐4‐yl)but‐3‐en‐2‐ylidene) hydrazine‐1‐carbothioamide in nanosuspension. The method was optimized for high sensitivity and specificity using a Shim‐pack GIST C18 (5 µm, 150 × 4.6 mm) column, with an isocratic mobile phase of ACN and 0.1% TFA in water (75:25 v/v). It employed a 0.5 mL/min flow rate, a 20 µL injection volume, and detected the compound at 333 nm. The method showed excellent linearity (R2 = 0.9994) over a concentration range of 2.5–50 µg/mL, with high precision, accuracy, and reproducibility, in compliance with ICH Q2 (R1) guidelines. The LOD and LOQ were 2.43 and 7.38 µg/mL, respectively. Recovery rates ranged from 110% to 112%, with RSD below 2%. The validated RP HPLC‐PDA method was effectively applied to detect, characterize, and quantify the novel compound in its nanosuspension form. This method offers a reliable analytical tool for the quality control of this novel compound, both in raw material and finished product forms, as well as for impurity profiling, drug release, and stability testing, which will, in turn, facilitate new drug development.
Asymptotics of a chemotaxis-consumption-growth model with nonzero Dirichlet conditions
Authors: Knosalla Piotr , Lankeit Johannes 
Published: December 2024

Abstract
This paper concerns the asymptotics of certain parabolic–elliptic chemotaxis-consumption systems with logistic growth and constant concentration of chemoattractant on the boundary. First we prove that in two dimensional bounded domains there exists a unique global classical solution which is uniformly bounded in time, and then, we show that if the concentration of chemoattractant on the boundary is sufficiently low, then the solution converges to the positive steady state as time goes to infinity.
Remarkable Localized Integral Identities for 3D Compressible Euler Flow and the Double-Null Framework
Authors: Abbrescia Leonardo , Speck Jared 
Published: December 2024

Abstract
We derive new, localized geometric integral identities for solutions to the 3D compressible Euler equations under an arbitrary equation of state when the sound speed is positive. The integral identities are coercive in the derivatives of the specific vorticity (defined to be vorticity divided by density) and the derivatives of the entropy gradient vectorfield, and the error terms exhibit remarkable regularity and null structures. Our framework plays a fundamental role in our companion works (Abbrescia L, Speck J. The emergence of the singular boundary from the crease in 3D compressible Euler flow, 2022; Abbrescia and Speck, The emergence of the Cauchy horizon from the crease in 3D compressible Euler flow (in preparation)) on the structure of the maximal classical development for shock-forming solutions. It allows one to simultaneously unleash the full power of the geometric vectorfield method for both the wave- and transport- parts of the flow on compact regions, and our approach reveals fundamental new coordinate-invariant structural features of the flow. In particular, the integral identities yield localized control over one additional derivative of the vorticity and entropy compared to standard results, assuming that the initial data enjoy the same gain. Similar results hold for the solution’s higher derivatives. We derive the identities in detail for two classes of spacetime regions that frequently arise in PDE applications: (i) compact spacetime regions that are globally hyperbolic with respect to the acoustical metric, where the top and bottom boundaries are acoustically spacelike—but not necessarily equal to portions of constant Cartesian-time hypersurfaces; and (ii) compact regions covered by double-acoustically null foliations. Our results have implications for the geometry and regularity of solutions, the formation of shocks, the structure of the maximal classical development of the data, and for controlling solutions whose state along a pair of intersecting characteristic hypersurfaces is known. Our analysis relies on a recent new formulation of the compressible Euler equations that splits the flow into a geometric wave-part coupled to a div-curl-transport part. The main new contribution of the present article is our analysis of the spacelike, co-dimension one and two boundary integrals that arise in the div-curl identities. By exploiting interplay between the elliptic and hyperbolic parts of the new formulation and using careful geometric decompositions, we observe several crucial cancellations, which in total show that after a further integration with respect to an acoustical time function, the boundary integrals have a good sign, up to error terms that can be controlled due to their good null structure and regularity properties.
The “specific” P-glycoprotein inhibitor zosuquidar (LY335979) also weakly inhibits human organic cation transporters
Authors: Bajraktari-Sylejmani Gzona , Kamaraj Rajamanikkam , Theile Dirk , Pávek Petr , Weiss Johanna 
Published: December 2024

AbstractZosuquidar (LY335979) is a widely used experimental P-glycoprotein (P-gp) inhibitor, which is commended as very potent but also as very specific for P-gp. In this in vitro and in silico study, we demonstrated for the first time that zosuquidar also inhibits organic cation transporters (OCT) 1–3, albeit less potently than P-gp. This still has to be kept in mind when zosuquidar is used to inhibit cellular efflux of P-gp substrates that are concurrently transported into the cells by OCTs. To avoid interference in these assays, zosuquidar concentrations should be kept below 1 µM.
Conventional radiography for the assessment of focal bone lesions of the appendicular skeleton: fundamental concepts in the modern imaging era
Authors: Matcuk George R. , Waldman Leah E , Fields Brandon K. K. , Colangeli Marco , Palmas Marco , Righi Alberto , Filonzi Giacomo , Crombé Amandine , Spinnato Paolo 
Published: December 2024

AbstractBone lesions of the appendicular skeleton can be caused by primary benign or malignant tumors, metastases, osteomyelitis, or pseudotumors. Conventional radiography plays a crucial role in the initial assessment of osseous lesions and should not be underestimated even in this era of modern complex and advanced imaging technologies. Combined with patient age, clinical symptoms and biology, and lesion features including location, solitary versus multiplicity, density, margin (transitional zone evaluated with Lodwick-Madewell grading score), and, if present, the type of periosteal reaction and matrix mineralization can narrow the differential diagnosis or offer a likely diagnosis. These radiographic features help guide further follow-up or management.
Description of Cohnella rhizoplanae sp. nov., isolated from the root surface of soybean (Glycine max)
Authors: Kämpfer Peter , Glaeser Stefanie P. , McInroy John A. , Busse Hans-Jürgen , Clermont Dominique , Criscuolo Alexis 
Published: December 2024

AbstractA Gram-staining-positive, aerobic bacterium, designated strain JJ-181 T, was isolated from the root surface of soybean. Based on the 16S rRNA gene sequence similarities, strain JJ-181 T was grouped into the genus Cohnella, most closely related to Cohnella hashimotonis F6_2S_P_1T (98.85%) and C. ginsengisoli GR21-5 T (98.3%). The pairwise average nucleotide identity and digital DNA-DNA hybridisation values of the JJ-181 T genome assembly against publicly available Cohnella type strain genomes were below 84% and 28%, respectively. The fatty acid profile from whole cell hydrolysates, the cell wall diaminoacid, the quinone system, the polar lipid profile, and the polyamine pattern supported the allocation of strain JJ-181 T to the genus Cohnella. In addition, the results of physiological and biochemical tests also allowed phenotypic differentiation of strain JJ-181 T from its closely-related Cohnella species. Functional analysis revealed that strain JJ-181 T has different gene clusters related to swarming motility, chemotaxis ability, and endospore and biofilm formations. The gene content also suggests the ability of strain JJ-181 T to synthesise biotin and riboflavin, as well as indole-3-acetic acid, an important phytohormone for plant growth. Based on polyphasic analyses, strain JJ-181 T can be classified as a new species of the genus Cohnella, for which we propose the name Cohnella rhizoplanae sp. nov., with strain JJ-181 T (= LMG 31678 T = CIP 112018 T = CCM 9031 T = DSM 110650 T) as the type strain.
Geochemical and magnetic properties in fluvial and lacustrine systems as environmental quality proxies in the Atacama Desert
Authors: Aránguiz-Acuña Adriana , Pizarro Héctor , Flores-Varas Abraham , Tapia Joseline , Herrera Josefina , Maza Santiago 
Published: December 2024

Abstract
Rivers play a crucial role in landscape evolution and human development, especially in arid zones, where hydrological resources are scarce and in high demand. The Atacama Desert is one of the world’s oldest and driest non-polar deserts, and aquatic systems therein have been historically subjected to anthropogenic pressure mainly associated with natural resource exploitation, such as water consumption for industrial mining activities. The mining industry has experienced a systematic development since the early 20th century, making Chile one of the main worldwide copper producers. This study analyzed sediments from two Atacama Desert rivers, the Loa and Salado Rivers (Antofagasta Region, Northern Chile). Sedimentary short-cores were obtained from sampled locations at varying distances from the confluence of the rivers. The characterization of chemical components, grain size, mineralogy, and magnetic properties of the rivers’ sediments was assessed in surface and subsurface samples to determine their respective signatures in the Inka-Coya Lake near the rivers’ confluence. The magnetic mineralogy present in the sediments of both rivers is composed of detrital magnetite and maghemite interspersed with those of authigenic origin. However, the downstream Loa River concentrated more authigenic minerals than the Salado and increased the abundance of silt-sized particles. The grain size of the Loa’s channel bed suggests low stream competency and high formation of depositional habitats. The magnetic signal and mineralogical composition of sediments from the lake are dominated by detrital pyrite, magnetite, and authigenic greigite. In contrast, the river’s sediments were dominated by magnetite and maghemite of detrital origin intercalated with those of authigenic origin. The granulometry, mineralogy, and rock magnetic properties of Inka-Coya Lake sediments indicate recent detrital input alternating with authigenic mineral-rich layers, mainly reflecting shifts in hydrological regimes. The highest concentrations of copper were observed in the upper, more recent sediment layers. Future scenarios of risky climatic conditions associated with increasing global metal demands could modify the availability of potentially toxic elements and transport capability in fluvial sediments, increasing the threats to water resource conservation in the world’s most arid desert.
Fractional erbium-doped yttrium aluminum garnet laser-assisted drug delivery: impact of triamcinolone acetonide formulation on drug permeation
Authors: Thitilertdecha Premrutai , Wannawittayapa Teerapat , Buranaporn Panyapat , Rejuso-Kalbit Cyryl Rae Benjamine Santiago , Kupwiwat Rosalyn , Poungpairoj Poonsin , Tantithavorn Varangkana , Onlamoon Nattawat , Manuskiatti Woraphong 
Published: December 2024

AbstractAblative fractional laser-assisted drug delivery has gained attention as a promising method for enhancing dermal drug absorption and improving therapeutic outcomes in dermatological conditions, particularly for hypertrophic and keloid scars. However, despite the growing number of clinical trials and case reports supporting its efficacy, there remains a scarcity of robust evidence on the topical bioavailability and dermato-pharmacokinetics of drugs in human subjects. This study aimed to examine the enhancement of triamcinolone acetonide (TAC) bioavailability following treatment with a fractional Erbium-Doped Yttrium Aluminum Garnet (Er: YAG) laser. Stratum corneum (SC) uptake and transport of TAC from 0.1% TAC cream and 10 mg/mL TAC solution/suspension with and without the laser pre-treatment were determined through tape stripping method for SC collection. TAC therein was quantified by an ultra-performance liquid chromatography coupled with photodiode array (UPLC-PDA) detection. TAC from both formulations without laser assistance was percutaneously absorbed within 6 h and TAC was delivered out from the solution to the SC remarkably higher. When the skin was pre-treated with the laser, permeability of TAC from the solution was escalated by 5 folds. TAC distribution profiles in the SC also confirmed this increased drug uptake, mainly the outer skin layers. On the other hand, amounts of absorbed TAC and their distribution patterns from the cream remained unchanged and low. No adverse events and unbearable pain were observed throughout the experiments. The fractional Er: YAG laser enhanced the dermal absorption of TAC, but this effect was confined to the solution formulation, with no significant improvement seen in the cream. This finding highlights the critical role that drug formulation plays in laser-assisted drug delivery. Moreover, factors such as drug selection, laser type, and optimal laser settings may also impact the efficacy of this approach and require further exploration.
Enhancing the performance and stability of organometal halide perovskite by using a feasible and economical interface material
Authors: Hsu Chou-Yi , Kanjariya Prakash , Rekha M. M. , Kumar M. Ravi , Kaur Sharnjeet , Mohammed Adil Ismael , Mishra Manoj Kumar , Al-Hedrewy Marwea 
Published: December 2024

AbstractOrganometal halide perovskites (OHPs) are one of the viable options for solar absorber materials because their power conversion efficiencies are getting better and better over time. In the conventional n-i-p-based configuration, TiO2 has been widely used as an electron transport layer (ETL). However, a number of constraints, such as low electron mobility and a mismatched band alignment with perovskite, restrict future advances in solar performance and device environmental stability. As a result, SnO2 has garnered a lot of interest as a potential replacement due to the comparatively low manufacturing temperature, better electron mobility and appropriate energy alignment w.r.t perovskite. In this experimental work, the primary emphasis was placed on enhancing the efficiency as well as the stability of OHPs by performing interface engineering at the ETL (SnO2)/perovskite interface. We improved the surface quality of the SnO2 ETL layer by using a material called 8-Hydroxyquinoline, which was quite inexpensive, and we prepared a favourable plane for the deposition of perovskite. Remarkably, the proposed surface modification material made the SnO2 layer easier to wet and impacted the growth of perovskite grains. This made the perovskite layer more compact and smooth. Our experimental findings imply that the OHPs’ enhanced charge recombination resistance and decreased charge transfer resistance are caused by effective defect passivation at the junction of the SnO2 and perovskite films, as well as a decrease in recombination due to unwanted trap states. The fabricated cell produced a power conversion efficiency (PCE) of 20.42%, higher than a PCE of 17.9% obtained for a device without surface modification. The proposed material for changing the surface also made OHPs more stable by reducing the surface paths for the reaction with humidity and reducing the amount of extra PbI2 in the perovskite layer. Various research groups have investigated the modification of SnO2 ETL using interfacial engineering methods and have contributed to enhancing OHPs’ solar performance and device stability.
Machine Learning Approaches for Predicting Progression to Alzheimer’s Disease in Patients with Mild Cognitive Impairment
Authors: Gelir Fatih , Akan Taymaz , Alp Sait , Gecili Emrah , Bhuiyan Md. Shenuarin , Disbrow Elizabeth A. , Conrad Steven A. , Vanchiere John A. , Kevil Christopher G. ,   The Alzheimer’s Disease Neuroimaging Initiative (ADNI), Bhuiyan Mohammad Alfrad Nobel 
Published: December 2024

Abstract
Purpose
Alzheimer's disease (AD), a neurodegenerative disorder, is a condition that impairs cognition, memory, and behavior. Mild cognitive impairment (MCI), a transitional stage before AD, urgently needs the development of prediction models for conversion from MCI to AD.

Method
This study used machine learning methods to predict whether MCI subjects would develop AD, highlighting the importance of biomarkers (biological indicators from neuroimaging, such as MRI and PET scans, and molecular assays from cerebrospinal fluid or blood) and non-biomarker features in AD research and clinical practice. These indicators aid in early diagnosis, disease monitoring, and the development of potential treatments for MCI subjects. Using baseline data, which includes measurements of different biomarkers, we predicted disease progression at the patient’s last visit. The Shapley value explanation (SHAP) technique was used to identify key features for predicting patient progression.

Results
The study used the ADNI database to evaluate the effectiveness of eight classification methods for predicting progression from MCI to AD. Four fundamental data sampling approaches were compared to balance the dataset and reduce overfitting. The SHAP technique improved the ability to identify biomarkers and non-biomarker features, enhancing the prediction of disease progression. NEAR-MISS was found to be the most advantageous sampling method, while XGBoost was found to be the superior classification method, offering enhanced accuracy and predictive power.

Conclusion
The proposed SHAP for feature selection combined with XGBoost may provide improved predictive accuracy in diagnosing Alzheimer's patients.
Commuting involutions in finite simple groups
Authors: Guralnick Robert , Robinson Geoffrey R. 
Published: December 2024

AbstractWe prove that if G is a finite simple group and $$x, y \in G$$

x
,
y
∈
G

are involutions, then $$|x^G \,{\cap }\, C_G(y)| \rightarrow \infty $$

|

x
G

∩

C
G

(
y
)

|
→
∞

as $$|G| \rightarrow \infty $$

|
G
|
→
∞

. This extends results of Guralnick–Robinson and Skresanov. We also prove a related result about $$C_{G}(t)/O(C_G(t))$$

C
G

(
t
)

/
O

(

C
G

(
t
)

)

that does not require the classification of finite simple groups.