bluuebunny/crossref_metadata_2025_split huggingface dataset:
The PH‐ILD Detection tool: External validation and use in patients with ILD
Authors: Parikh Raj , O'Sullivan David M. , Farber Harrison W. 
Published: August 2023

AbstractPulmonary hypertension (PH) results in increased morbidity and mortality in patients with interstitial lung disease (ILD). Early recognition of PH in this population is essential for planning diagnostic testing, initiating therapy, and evaluating for lung transplantation. The previously developed PH‐ILD Detection tool has significant potential in the evaluation and treatment of ILD patients; the aim of this study was to validate the tool in an independent, multicenter cohort of patients. We conducted a retrospective review of prospectively collected data from 161 ILD patients. Patients were stratified into low‐ (n = 78, 48.4%), intermediate‐ (n = 54, 33.5%), and high‐risk (n = 29, 18.0%) groups based on the score obtained with the tool. Intermediate‐ and high‐risk patients underwent follow‐up echocardiogram (TTE); 49.4% (n = 41) had an abnormal TTE suggestive of underlying PH. These patients underwent right heart catheterization; PH‐ILD was diagnosed in 73.2% (n = 30) of these cases. The PH‐ILD Detection tool has a sensitivity of 93.3%, specificity of 90.9%, and area‐under‐the‐curve of 0.921 for diagnosing PH in ILD patients, validating the findings from the original study and establishing the tool as a fundamental resource for early recognition of PH in ILD patients.
SurfinPES: Performing automated analysis of activation strain, energy decomposition, and reaction force
Authors: Quintal Alan , Dzib Eugenia , Murillo Fernando , Ortíz‐Chi Filiberto , Fernández Israel , Merino Gabriel 
Published: August 2023

AbstractAnalyzing activation strain, energy decomposition, and reaction force models is crucial for studying chemical reactivity and gaining quantitative insights into the factors that control energy barriers. However, manually preparing and processing the necessary data can be challenging and prone to errors. To address this issue, we introduce SurfinPES, a Python‐based module in Eyringpy that automates data extraction and processing for these analyses. SurfinPES also allows monitoring of the evolution of primitive properties (geometrical and electronic) along the reaction coordinate. The module is user‐friendly with a simple input format, making it accessible to any user in the field of computational chemistry.
A rare presentation of Legionella pneumophila and Mycobacterium intracellulare co‐infection masquerading as metastatic lung cancer in a patient with positive anti‐interferon gamma antibody
Authors: Cheng Hei‐Shun , Chiu Pui‐Hing , Wong Charles , Tong Chun‐Wai , Miu Pui‐Ling Flora 
Published: August 2023

AbstractAdult‐onset immunodeficiency (AOID) syndrome due to the presence of anti‐interferon gamma antibody (AIGA) is characterized by multiple opportunistic infections. We report a case of a 65‐year old healthy woman who suffered from Legionella pneumophila and Mycobacterium intracellulare co‐infection with clinical presentation mimicking metastatic lung cancer. She presented with chronic cough and weight loss. Her positron emission tomography scan showed a right upper lobe mass, mediastinal lymphadenopathy and multiple bone lesions. Acid fast bacilli culture of the lung mass and mediastinal lymph node revealed Mycobacterium intracellulare and she improved with prolonged antibiotic. Relapse of disseminated Mycobacterium intracellulare infection occurred 15 months post‐treatment and AIGA was positive with functional neutralizing activity on downstream immune pathway. AOID syndrome secondary to AIGA was diagnosed. This case illustrated the importance of high index of suspicion of AOID syndrome and the difficulty of early diagnosis. Further studies on its predictive factors and AIGA‐targeted treatment modalities are urgently needed.
Aberrant expression of histone deacetylase 8 in endometriosis and its potential as a therapeutic target
Authors: Zheng Hanxi , Liu Xishi , Guo Sun‐Wei 
Published: August 2023

AbstractPurposeTo screen Zn2+‐dependent histone deacetylase (HDAC) 1‐11 in endometriotic cells and then evaluated the HDACs identified from the screening in ovarian endometrioma (OE) and deep endometriotic (DE) lesions, and to evaluate the therapeutic potential of HDAC8 inhibition in mice.MethodsQuantification of gene and protein expression levels of HDAC1‐11 in endometriotic cells stimulated by TGF‐β1, and immunohistochemistry analysis of Class I HDACs and HDAC6 in OE/DE lesion samples. The therapeutic potential of HDAC8 inhibition was evaluated by a mouse model of deep endometriosis.ResultsThe screening identified Class I HDACs and HDAC6 as targets of interest. Immunohistochemistry analysis found a significant elevation in HDAC8 immunostaining in both OE and DE lesions, which was corroborated by gene and protein expression quantification. For other Class I HDACs and HDAC6, their lesional expression was more subtle and nuanced. HDAC1 and HDAC6 staining was significantly elevated in DE lesions while HDAC2 and HDAC3 staining was reduced in DE lesions. Treatment of mice with induced deep endometriosis with an HDAC8 inhibitor resulted in significantly longer hotplate latency, a reduction of lesion weight by nearly two‐thirds, and significantly reduced lesional fibrosis.ConclusionsThese findings highlight the progression‐dependent nature of specific HDAC aberrations in endometriosis, and demonstrate, for the first titme, the therapeutic potential of suppressing HDAC8.
Synthesis of Fe2O3@SnO2 Core‐shell Nanocomposites via Thermal Decomposition Route and their Application as an Adsorbent
Authors: Gangwar Kumkum , Jeevanandam Pethaiyan 
Published: August 2023

AbstractIn the current study, a thermal decomposition approach has been used to synthesize Fe2O3@SnO2 core‐shell nanocomposites in which Fe2O3 microsphere is the core and SnO2 is the shell. The thickness of shell (SnO2) is altered by varying amount of tin chloride pentahydrate (precursor of SnO2). Various characterization techniques were used to prove successful formation of Fe2O3@SnO2 core‐shell nanocomposites. XRD results confirm the presence of SnO2, α‐Fe2O3, and Fe3O4 in the calcined Fe2O3@SnO2 core‐shell nanocomposites. FE‐SEM and TEM studies reveal uniform deposition of SnO2 nanoparticles over the iron oxide microspheres. XPS analysis demonstrates the presence of Sn4+, Fe2+, Fe3+, and O2− in the Fe2O3@SnO2 core‐shell nanocomposites. Optical studies show that the Fe2O3@SnO2 core‐shell nanocomposites absorb in UV and visible regions. M−H studies on Fe2O3@SnO2 core‐shell nanocomposites indicate weak ferromagnetic and superparamagnetic behaviour of the nanocomposites at 5 K and 300 K, respectively. From M−T measurements, pure α‐Fe2O3 shows characteristic Morin transition (Tm), but the Fe2O3@SnO2 core‐shell nanocomposites do not show such transition. The Fe2O3@SnO2 core‐shell nanocomposites were explored as adsorbent for the removal of congo red (CR) from an aqueous solution.
Efficient Synthesis of Quinolines from 2‐Aminoaryl Ketones with α‐Methylene Carbonyl Derivatives: Exploiting the Dual Acid Sites of Metal Organic Framework Catalyst
Authors: Krishna Bandarupalli , Roy Sounak 
Published: August 2023

AbstractWe report on the use of heterogeneous metal organic framework (MOF) catalysts for the Friedländer synthesis of 2‐aminoaryl ketone with α‐methylene carbonyl derivatives, a versatile and widely used method for the synthesis of quinoline derivatives. The importance of the Lewis and Brønsted acid sites and their spatial proximity have been explored. Postsynthetic modifications were made to introduce the Brønsted −SO3H acid sites in the pristine MIL‐53(Al). Two modifications were carried out, resulting in two different MOFs: MIL‐53(Al)−NH−(CH2)3−SO3H, in which there is a significant spatial distance between the Lewis and Brønsted sites, and MIL‐53(Al)−SO3H, where the two sites are in close proximity. The availability of sulfonic acid groups has a significant impact on their catalytic performance. The sulfonated MIL‐53(Al) material exhibited a high yield of quinoline derivatives under solventless and mild reaction conditions, with a wide substrate scope and good reusability. Mechanistic studies revealed that the dual acidic sites of the catalysts play an important role in the reaction mechanism.
Influence of Phosphate Buffer on the Reaction of 3‐Nitrophenylboronic Acid with Alizarin Red S
Authors: Imaminato Keiju , Kusuyama Daisuke , Suzuki Shota , Sugaya Tomoaki , Ishihara Koji 
Published: August 2023

AbstractThe influence of phosphate buffer on the reaction of boronic acid with 1,2‐diol was studied using a reaction system suitable for kinetics and the reaction of 3‐nitrophenylboronic acid (3‐NO2PhB(OH)2) with alizarin red S. The reaction was accelerated with increasing concentrations of phosphate buffer. 1H and 11B NMR spectra were recorded for four pH‐controlled solutions, each containing different boronic acids, to determine the cause of the reaction rate acceleration. The results indicated that HPO42− interacted with both 3‐NO2PhB(OH)2 and 3‐NO2PhB(OH)3−, whereas H2PO4− hardly interacted with either 3‐NO2PhB(OH)2 or 3‐NO2PhB(OH)3−. The reaction rates were enhanced by the formation of outer‐sphere complexes between RB(OH)2 and HPO42− and RB(OH)3− and HPO42−.
Microwave‐Assisted Metal‐Free C(sp2)−H Thiocyanation of Aromatic Amines
Authors: Desai Bhargav , Satani Piyushkumar , Patil Rachit S. , Bhukya Hussain , Naveen Togati 
Published: August 2023

AbstractIn this work, we present a rapid, metal‐free and efficient method for thiocyanation of aromatic amines under microwave irradiation for the synthesis of aryl thiocyanates using inexpensive and nontoxic NH4SCN as thiocyanato source and K2S2O8 as an oxidant. This protocol tolerates a wide range of substituted anilines to provide the corresponding thiocyanated products in good to excellent yields. The features of this strategy include a broad substrate scope, high functional group tolerance, mild reaction conditions, and short reaction time.
Contextual attribute‐based access control scheme for cloud storage using blockchain technology
Authors: Panda Suryakanta , Sahoo Swagatika , Halder Raju , Mondal Samrat 
Published: August 2023

AbstractAccess control of data that are outsourced to cloud storage is a challenging problem because data owners lose direct control over outsourced data. Attribute‐based encryption (ABE) is a potential cryptographic solution to provide confidentiality and flexible sharing of these outsourced data. However, the traditional ABE schemes do not meet the need of the current dynamic environment where data access not only considers the user's static and inherent attributes but also takes the user's contextual information such as location and time of access. This paper presents an improved ABE scheme using blockchain technology that can handle the frequently changing location and time attributes of data users efficiently, leading to support for fine‐grained access control of cloud storage embedding contextual information in the access policy of ABE. A prototype implementation of the proposed ABE scheme using solidity on the Ethereum platform and the experimental evaluation in terms of performance and execution cost shows a promising result.
Neoteric Advances in Oxygen Bridged Triaryl Boron‐based Delayed Fluorescent Materials for Organic Light Emitting Diodes
Authors: Naveen Kenkera Rayappa , Konidena Rajendra Kumar , Keerthika P. 
Published: August 2023

AbstractSince their first demonstration, thermally activated delayed fluorescence (TADF) materials have been emerged as the most promising emitters because of their promising applications in optoelectronics, typified by organic light‐emitting diodes (OLEDs). In which, the rigid oxygen bridged boron acceptor‐featured (DOBNA) emitters have gained tremendous impetus for OLEDs, which is ascribed to their excellent external quantum efficiency (EQE). However, these materials often displayed severe efficiency roll‐off and poor operational stability. Therefore, there needs to be a comprehensive understanding of the aspect of the molecular design and structure‐property relationship. To the best of our knowledge, there is no detailed review on the structure‐function outlook of DOBNA‐based emitters emphasizing the effect of the nature of donor units, their number density, and substitution pattern on the physicochemical properties, excited state dynamics and OLED performance were reported. To fill this gap, herein we presented the recent advancements in DOBNA‐based acceptor featured TADF materials by classifying them into several subgroups based on the molecular design i. e. donor‐acceptor (D−A), D−A‐D, A−D‐A, and multi‐resonant TADF (MR‐TADF) emitters. The detailed design concepts, along with their respective physicochemical and OLED performances were summarized. Finally, the prospective of this class of materials in forthcoming OLED displays is also discussed.
Exosome‐derived long noncoding RNAs: Mediators of host–Plasmodium parasite communication
Authors: Chen Jin‐guang , Liu Shuang‐chun , Nie Qing , Du Yun‐ting , Lv Yin‐yi , He Lian‐ping , Chen Guang 
Published: August 2023

AbstractOvercoming challenges associated with malaria eradication proves to be a formidable task due to the complicated life cycle exhibited by the malaria parasite and the lack of safe and enduring vaccines against malaria. Investigating the interplay between Plasmodium parasites and their mammalian hosts is crucial for the development of novel vaccines. Long noncoding RNAs (lncRNAs) derived from Plasmodium parasites or host cells have emerged as potential signaling molecules involved in the trafficking of proteins, RNA (mRNAs, miRNAs, and ncRNAs), and DNA. These lncRNAs facilitate the interaction between hosts and parasites, impacting normal physiology or pathology in malaria‐infected individuals. Moreover, they possess the capacity to regulate immune responses and associated signaling pathways, thus potentially influencing chromatin organization, epigenetic modifications, mRNA processing, splicing, and translation. However, the functional role of exosomal lncRNAs in malaria remains poorly understood. This review offers a comprehensive analysis of lncRNA and exosomal lncRNA profiles during malaria infection. It presents an overview of recent progress in elucidating the involvement of exosomal lncRNAs in host–parasite interactions. Additionally, potential exosomal lncRNAs linked to the domains of innate and adaptive immunity in the context of malaria are proposed. These findings may contribute to the discovery of new diagnostic and therapeutic strategies for malaria. Furthermore, the need for additional research was highlighted that aimed to elucidate the mechanisms underlying lncRNA transportation into host cells and their targeting of specific genes to regulate the host's immune response. This knowledge gap presents an opportunity for future investigations, offering innovative approaches to enhance malarial control.This article is categorized under:
RNA Interactions with Proteins and Other Molecules > Small Molecule‐RNA Interactions
RNA Interactions with Proteins and Other Molecules > Protein‐RNA Interactions: Functional Implications
RNA in Disease and Development > RNA in Disease
Crystal and electronic structure of the ternary Zintl bismuthide BaLiBi
Authors: Ovchinnikov Alexander , Bobev Svilen 
Published: August 2023

AbstractReported is the accurate refinement of the structure of the ternary bismuthide BaLiBi, based on single‐crystal X‐ray diffraction data. This compound crystallizes with the ZrBeSi structure type with the space group P63/mmc (no. 194), a=4.9917(6) Å, c=9.079(2) Å, V=195.92(7) Å3 with two formula units per unit cell. In addition to being a colored ternary variant of the AlB2 type, the crystal structure of BaLiBi can be also viewed as a “stuffed” variant of the NiAs structure, where the Bi atoms form a hexagonal close packing, the Ba atoms occupy the octahedral voids in this packing, and the Li atoms are located between adjacent tetrahedral voids on their common triangular faces. In the absence of direct Bi–Bi interactions, the BaLiBi crystal structure rationalized according to the notation (Ba2+)(Li+)(Bi3−), suggesting an electron‐balanced composition, i. e., a Zintl phase. In line with this notation, scalar‐relativistic first‐principle calculations with the LMTO code reveal a semiconducting ground state, with a bandgap of about 0.6 eV. Fully relativistic electronic structure calculations predict a semimetallic ground state.
Bounds on lepton non-unitarity and heavy neutrino mixing
Authors: Blennow Mattias , Fernández-Martínez Enrique , Hernández-García Josu , López-Pavón Jacobo , Marcano Xabier , Naredo-Tuero Daniel 
Published: August 2023

Abstract
We present an updated and improved global fit analysis of current flavour and electroweak precision observables to derive bounds on unitarity deviations of the leptonic mixing matrix and on the mixing of heavy neutrinos with the active flavours. This new analysis is motivated by new and updated experimental results on key observables such as Vud, the invisible decay width of the Z boson and the W boson mass. It also improves upon previous studies by considering the full correlations among the different observables and explicitly calibrating the test statistic, which may present significant deviations from a χ2 distribution. The results are provided for three different Type-I seesaw scenarios: the minimal scenario with only two additional right-handed neutrinos, the next to minimal one with three extra neutrinos, and the most general one with an arbitrary number of heavy neutrinos that we parametrise via a generic deviation from a unitary leptonic mixing matrix. Additionally, we also analyze the case of generic deviations from unitarity of the leptonic mixing matrix, not necessarily induced by the presence of additional neutrinos. This last case relaxes some correlations among the parameters and is able to provide a better fit to the data. Nevertheless, inducing only leptonic unitarity deviations avoiding both the correlations implied by the right-handed neutrino extension as well as more strongly constrained operators is challenging and would imply significantly more complex UV completions.
Decoding quantum field theory with machine learning
Authors: Grimmer Daniel , Melgarejo-Lermas Irene , Polo-Gómez José , Martín-Martínez Eduardo 
Published: August 2023

Abstract
We demonstrate how one can use machine learning techniques to bypass the technical difficulties of designing an experiment and translating its outcomes into concrete claims about fundamental features of quantum fields. In practice, all measurements of quantum fields are carried out through local probes. Despite measuring only a small portion of the field, such local measurements have the capacity to reveal many of the field’s global features. This is because, when in equilibrium with their environments, quantum fields store global information locally, albeit in a scrambled way. We show that neural networks can be trained to unscramble this information from data generated from a very simple one-size-fits-all local measurement protocol. To illustrate this general claim we will consider three non-trivial features of the field as case studies: a) how, as long as the field is in a stationary state, a particle detector can learn about the field’s boundary conditions even before signals have time to propagate from the boundary to the detector, b) how detectors can determine the temperature of the quantum field even without thermalizing with it, and c) how detectors can distinguish between Fock states and coherent states even when the first and second moments of all their quadrature operators match. Each of these examples uses the exact same simple fixed local measurement protocol and machine-learning ansatz successfully. This supports the claim that the framework proposed here can be applied to nearly any kind of local measurement on a quantum field to reveal nearly any of the field’s global properties in a one-size-fits-all manner.
Spectral flow and the exact AdS3/CFT2 chiral ring
Authors: Iguri Sergio , Kovensky Nicolas , Toro Julián H. 
Published: August 2023

Abstract
We compute all worldsheet three-point functions involving spectrally-flowed operators in chiral multiplets of the space-time theory for strings in AdS3×S3×T4, thus completing the analysis of the full AdS3/CFT2 chiral ring. We make use of techniques recently developed for the bosonic sector, based on holomorphic covering maps from the worldsheet to the AdS3 boundary. We highlight the role of the so-called series identifications when dealing with the complications originated by picture-changing spectrally-flowed states. We find an exact agreement with the predictions from the holographic CFT at the symmetric orbifold point.
Critical JT gravity
Authors: Castro Alicia 
Published: August 2023

Abstract
In this paper, we investigate a critical behavior of JT gravity, a model of two-dimensional quantum gravity on constant negatively curved spacetimes. Our approach involves using techniques from random maps to investigate the generating function of Weil-Petersson volumes, which count random hyperbolic surfaces with defects. The defects are weighted geodesic boundaries, and criticality is reached by tuning the weights to the regime where macroscopic holes emerge in the hyperbolic surface, namely non-generic criticality. We analyze the impact of this critical regime on some universal features, such as its density of states. We present a family of models that interpolates between systems with ρ0(E) ~ $$ \sqrt{E-{E}_0} $$

E
−

E
0

and ρ0(E) ~ (E − E0)3/2, which are commonly found in models of JT gravity coupled to dynamical end-of-the-world and FZZT branes, and give a precise definition of what this phase transition means from the random geometry point of view.