bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychopathological risk stability and change in a sample of mothers and preschool children before, during and after the peak of COVID‐19 pandemic
Authors: Cimino S. , Tambelli R. , Genova F. , Agostini F. , Trombini E. , Cerniglia L. 
Published: December 2023

AbstractNumerous studies have found that the COVID‐19 epidemic and the measures to stop it have had a substantial impact on the mental health of the general population. Nevertheless, the majority of this research only looked at the variations in the degree of psychopathological symptoms in individuals before and after the first wave of the pandemic. In a sample of N = 380 preschoolers and their mothers assessed through the Symptom Check‐List/90‐R and of the Child Behaviour Check‐List, the present study aimed at exploring psychopathological risk in mothers and their offspring's dysregulation levels before (T1), during (T2) and after (T3) the peak of COVID‐19 pandemic. Our main results showed that mothers' relational distress increased from T1 to T2 and then increased again from T2 to T3. Moreover, maternal aggressiveness, hostility, and anxiety scores significantly decreased from T1 to T2 but slightly increased from T2 to T3. In children, dysregulation levels increased from T1 to T2 but decreased from T2 to T3. Children of mothers with clinical scores at the SCL‐90/R showed significantly higher dysregulation problems at T1, T2 and T3 than children of mothers with scores below the clinical threshold. This study adds to previous literature in that it evaluates stability or change in maternal and offspring scores not only in the pre‐pandemic period and during the first wave of the pandemic, but it also considers the subsequent months, focusing on a broad range of maternal symptoms, rather than assessing depressive and anxiety symptoms as most of previous research did.
Two‐Photon Direct Laser Writing of 3D Scaffolds through C, H‐Insertion Crosslinking in a One‐Component Material System
Authors: Song Dan , Husari Ayman , Kotz‐Helmer Frederik , Tomakidi Pascal , Rapp Bastian E. , Rühe Jürgen 
Published: December 2023

AbstractThe popularity of two‐photon direct laser writing in biological research is remarkable as this technique is capable of 3D fabrication of microstructures with unprecedented control, flexibility and precision. Nevertheless, potential impurities such as residual monomers and photoinitiators remaining unnoticed from the photopolymerization in the structures pose strong challenges for biological applications. Here, the first use of high‐precision 3D microstructures fabricated from a one‐component material system (without monomers and photoinitiators) as a 3D cell culture platform is demonstrated. The material system consists of prepolymers with built‐ in crosslinker motieties, requiring only aliphatic C, H units as reaction partners following two‐photon excitation. The material is written by direct laser writing using two‐photon processes in a solvent‐free state, which enables the generation of structures at a rapid scan speed of up to 500 mm s−1 with feature sizes scaling down to few micrometers. The generated structures possess stiffnesses close to those of common tissue and demonstrate excellent biocompatibility and cellular adhesion without any additional modification. The demonstrated approach holds great promise for fabricating high‐precision complex 3D cell culture scaffolds that are safe in biological environments.
Fast Near‐Infrared Photodetectors Based on Nontoxic and Solution‐Processable AgBiS2
Authors: Huang Yi‐Teng , Nodari Davide , Furlan Francesco , Zhang Youcheng , Rusu Marin , Dai Linjie , Andaji‐Garmaroudi Zahra , Darvill Daniel , Guo Xiaoyu , Rimmele Martina , Unold Thomas , Heeney Martin , Stranks Samuel D. , Sirringhaus Henning , Rao Akshay , Gasparini Nicola , Hoye Robert L. Z. 
Published: December 2023

AbstractSolution‐processable near‐infrared (NIR) photodetectors are urgently needed for a wide range of next‐generation electronics, including sensors, optical communications and bioimaging. However, it is rare to find photodetectors with >300 kHz cut‐off frequencies, especially in the NIR region, and many of the emerging inorganic materials explored are comprised of toxic elements, such as lead. Herein, solution‐processed AgBiS2 photodetectors with high cut‐off frequencies under both white light (>1 MHz) and NIR (approaching 500 kHz) illumination are developed. These high cut‐off frequencies are due to the short transit distances of charge‐carriers in the ultrathin photoactive layer of AgBiS2 photodetectors, which arise from the strong light absorption of this material, such that film thicknesses well below 120 nm are sufficient to absorb >65% of NIR to visible light. It is also revealed that ion migration plays a critical role in the photo‐response speed of these devices, and its detrimental effects can be mitigated by finely tuning the thickness of the photoactive layer, which is important for achieving low dark current densities as well. These outstanding characteristics enable the realization of air‐stable, real‐time heartbeat sensors based on NIR AgBiS2 photodetectors, which strongly motivates their future integration in high‐throughput systems.
Recent progress in low‐swellable polymer‐based smart photonic crystal sensors
Authors: Qi Yong , Zhang Shufen 
Published: December 2023

AbstractLow‐swelling polymers (LSPs) generally refer to materials with a low solvent absorption ratio or volume expansion rate at swelling equilibrium. LSPs with exceptional responsiveness could be upgraded to smart sensors with structural color self‐reporting by bridging photonic crystals (PCs). Based on the regulation of swelling to effective refractive index, lattice spacing, the order‐disorder arrangement of nanostructures, and incident/detection angle, the structural color feedback of smart photonic crystal sensors (SPCSs) can quantitatively and visually reveal the stimulus, which greatly promotes the interdisciplinary development of nanophotonic technology in the fields of chemical engineering, materials science, engineering mechanics, biomedicine, environmental engineering, etc. Herein, to clarify the role of the photonic structures and polymer molecules in high‐performance SPCSs, LSP‐based SPCSs are summarized and discussed, including general swelling mechanisms, color change strategies, structural design, and typical functional applications. It aims to figure out the combination rule between PC structures and LSPs, optimize the design of PC structures, and expound the corresponding structural color sensing mechanisms, inspiring the fabrication of next‐generation SPCSs. Finally, perspectives on future structural design and sensing applications are also presented. It is believed that SPCSs are multifunctional nanophotonic tools for the interdisciplinary development of numerous engineering fields in the future.
Ritual and university education: Systemic coexistence after COVID‐19
Authors: Córdoba‐Pachón José‐Rodrigo 
Published: December 2023

AbstractThis paper explores the realm of university education after COVID‐19, in which there is a perceived need to manage the ‘old’ and the ‘new’. The paper brings two different systems approaches to that end: the systems theory of autopoiesis and the systems identity technology of profilicity. In their own way, both explain the phenomena of ‘blindness’ to social situations, potentially enabling meaningful conversations to occur. However, they require a broader, common ground so that they could also coexist with each other. This could lead us to consider the inclusion of rituals in education. Two perspectives about ritual are brought forth to start developing such common ground. With these, the paper proposes a number of questions and implications to further develop systemic coexistence.
Application of sol‐gel universal sorbent coated fabric phase sorptive extraction membranes in combination with high‐performance liquid chromatography‐ultraviolet detection to monitor endocrine‐disrupting chemicals in milk and environmental water samples
Authors: Olayanju Basit , Kabir Abuzar , Manousi Natalia , Furton Kenneth G. 
Published: December 2023

AbstractHere, we deployed sol‐gel universal sorbent‐coated fabric phase sorptive extraction membranes in tandem with high‐performance liquid chromatography equipped with an ultraviolet detector (HPLC‐UV) for the analysis of 10 endocrine‐disrupting chemicals (EDCs). Due to the varying polarities of the studied compounds indicated by their octanol/water partition coefficient ‘log Kow’ (1.47–5.07), the extraction membrane was designed with different functionalities that are capable of simultaneous interaction with compounds of diverse natures including polar, non‐polar, and ionic species via sol‐gel sorbent coating technology. An isocratic mode of HPLC‐UV at 55:45% acetonitrile:water (v/v) on a reverse phase C18 Zorbax column (5 μm, 150 mm, 4.6 mm) was used for the separation and quantitation. Calibration curves were found linear between 25 and 2000 ppb for all compounds except cortisone in the range of 25–1000 ppb which provided an R2 value above 0.9940 in all cases. The intra‐day reproducibility and inter‐day reproducibility were found in the range of 1.2–12.8 and 0.2–14.1 (expressed as percent relative standard deviation), respectively. The validated method was finally deployed for the analysis of environmental water and milk samples with estradiol showing the highest concentrations among the studied compounds.
New validated liquid chromatography‐tandem mass spectrometry method for the determination of Dacomitinib in human plasma and its application to a pharmacokinetic study
Authors: Gupta Tinku , Sahoo NaliniKanta , Rambabu Maddela , Praveen M. , Charde Shrikant , Sahu Madhusmita , Chakrabarti Prasun , Hung Bui Thanh , Margala Martin , Unhelkar Bhuvan , Narayanankutty Arunaksharan 
Published: December 2023

AbstractDacomitinib, a quinazoline compound, exhibits antineoplastic activity against brain metastasis activities in non‐small cell lung cancer and the central nervous system. In this study, the liquid–liquid extraction method with high‐performance liquid chromatography and tandem mass spectrometry detection method was established and validated for the determination of Dacomitinib in human plasma. Plasma samples were prepared and chromatographic separation was achieved on analytical column Discovery C18 (10 cm × 4.6 mm, 5 μm) with gradient elutes at a flow rate of 0.8 mL/min, using a mobile phase consisting of acetonitrile and ammonium formate. Dacomitinib and dacomitinib D10 (internal standard) were detected by multiple reactions. The method was fully validated according to the United States Food and Drug Administration guidelines. The calibration curve was linear with an excellent correlation coefficient (r2 ˂ 0.99). The method validation steps such as carry‐over, matrix effect, extraction recovery, dilution effect, intra‐inter accuracy, and precision were found within acceptable limits. The method was then applied to a pharmacokinetic study in human plasma. After oral administration, the plasma concentration in different volunteers reached 0.5–250.01 ng/mL. The result established can be applied to the estimation of drugs in human plasma.
Phytochemical analysis and high‐performance thin‐layer chromatography guided quantification of Boeravinone B from Boerhaavia diffusa root extracts: Assessment of in vitro safety analysis
Authors: Laasya T. P. Sri , Thapliyal Somesh , Goel Kapil Kumar , Kumar Bhupinder , Poduri Ramarao , Joshi Gaurav 
Published: December 2023

AbstractAn Indian traditional medicinal plant, Boerhaavia diffusa (Punarnava), is reported for its diuretic activity and helps in impaired kidney function. The present study indicates that alkaloids, carbohydrates, saponins, phytosterols, flavonoids, and glycosides are absent in the petroleum ether extract and present chiefly in the methanolic extract of roots. The phytosterols were found to be present in the ethyl acetate extract, while other phytochemical constituents, that is, alkaloids, carbohydrates, saponins, flavonoids, and glycosides, were absent. From high‐performance thin‐layer chromatography, the results indicated that out of all the three extracts and two marketed formulations, ethyl acetate root extract (LEA) has the highest amount of Boeravinone B content. Further, different root extracts of B. diffusa and two marketed formulations were evaluated on the human embryonic kidney cell line to understand pharmacological safety. From the results, it was observed that LEA and petroleum ether root extracts showed a higher percentage of cell survival and a better safety profile up to the dose of 1 mg/mL. The overall results indicated that further preclinical evaluation of B. diffusa is needed to understand the mechanism behind nephroprotective potential which can further expedite the drug discovery process of nephroprotective molecules.
Low dielectric constant and highly intrinsic thermal conductivity fluorine‐containing epoxy resins with ordered liquid crystal structures
Authors: Fan Xuerong , Liu Zheng , Wang Shuangshuang , Gu Junwei 
Published: December 2023

AbstractEpoxy resins with a high dielectric constant and low intrinsic thermal conductivity coefficient cannot meet the current application requirements of advanced electronic and electrical equipment. Therefore, novel fluorine‐containing liquid crystal epoxy compounds (TFSAEy) with fluorinated groups, biphenyl units, and flexible alkyl chains are first synthesized via amidation and esterification reactions. Then, 4,4′‐diaminodiphenylmethane (DDM) is used as a curing agent to prepare the corresponding fluorine‐containing liquid crystal epoxy resins. The obtained dielectric constant (ε) and dielectric loss (tan δ) values of TFSAEy/DDM at 1 MHz are 2.54 and 0.025, respectively, which are significantly lower than those of conventional epoxy resins (E‐51/DDM, 3.52 and 0.038). Additionally, the intrinsic thermal conductivity coefficient (λ) of TFSAEy/DDM is 0.36 W/(m·K), 71.4% higher than that of E‐51/DDM (0.21 W/(m·K)). Meanwhile, the corresponding elastic modulus, hardness, glass transition temperature, and heat resistance index of TFSAEy/DDM are 5.73 GPa, 0.35 GPa, 213.5°C, and 188.7°C, respectively, all superior to those of E‐51/DDM (3.68 GPa, 0.27 GPa, 107.2°C, and 174.8°C), presenting potential application in high‐heating electronic component packaging and printed circuit boards.
Investigation of Ogikenchuto (TJ‐98) for intestinal fibrosis using a mouse model of dextran sulfate sodium‐induced colitis
Authors: Watanabe Shunsuke , Inoue Mikihiro , Naoe Atsuki , Murayama Mika 
Published: December 2023

AbstractBackgroundUlcerative colitis (UC) is a chronic inflammatory disease of unknown etiology. Although various new drugs have been developed in recent years, many of them are expensive, generating a demand for inexpensive and useful therapeutic drugs. Ogikenchuto (TJ‐98), an existing Kampo medicine, has been used to treat ulcers and similar conditions for some time. The current study therefore investigated whether TJ‐98 could be a new therapeutic agent for UC, a chronic inflammatory disease.MethodsThis study used 6‐week‐old female C57BL/6J mice to establish a mouse model of dextran sulfate sodium (DSS)‐induced colitis. We then evaluated the therapeutic effects of tacrolimus and TJ‐98 on colitis based on body weight, intestinal length, intestinal fibrosis, and cytokines. Sirius red staining was used to evaluate intestinal fibrosis, while interleukin‐1 beta (IL‐1β), interleukin‐6 (IL‐6), and tumor necrosis factor‐alpha (TNF‐α) were used to evaluate cytokines involved in inflammation.ResultsNeither tacrolimus nor TJ‐98 ameliorated weight loss. Although tacrolimus did not remediate intestinal shortening, intestinal fibrosis, or cytokine levels (IL‐1β, IL‐6, and TNF‐α), TJ‐98 did ameliorate intestinal shortening and intestinal fibrosis and decrease IL‐1β levels.ConclusionsThis study confirmed that TJ‐98 suppressed the inflammation caused by DSS‐induced enteritis and decreased the associated intestinal fibrosis, highlighting its potential as an inexpensive novel therapeutic agent for UC.
Multiple programmed cell death patterns and immune landscapes in bladder cancer: Evidence based on machine learning and multi‐cohorts
Authors: Li Zhiwei , Li Yong , Liu Li , Zhang Chiteng , Li Xiucheng 
Published: December 2023

AbstractBackgroundBladder cancer (BLCA) is the most prevalent malignant neoplasm of the urinary tract, and ranks seventh as the most frequent systemic neoplasm in males. Dysregulation of programmed cell death (PCD) has been implicated in various stages of cancer progression, including tumorigenesis, invasion, and metastasis. However, the correlation between multiple PCD modes and BLCA is lacking. Thus, a risk prediction model was built based on 12 models of PCD to predict prognosis and immunotherapy response in patients with BLCA.MethodsThe RNA sequencing transcriptome data of BLCA were collected from the Cancer Genome Atlas Program (TCGA) and GEO datasets. Univariate Cox and LASSO regression analyzes were performed to identify PCD‐related genes (PCDRGs) significant for prognosis. Multivariate Cox regression analysis was used to develop a prognostic model for PCD. Survival analysis and chi‐squared test were employed to analyze the survival variations between different risk groups. Univariate and multivariate Cox analyses were performed to evaluate the model as an independent prognostic predictor. A nomogram was formulated using both clinical data and the model to predict the survival rates of BLCA patients. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were performed to analyze and elucidate the molecular mechanisms and pathways operating within different risk score groups. Furthermore, the immune landscape was investigated and the efficacy of various anti‐tumor drugs was evaluated for BLCA. Finally, consensus clustering analysis was adopted to explore the association between different PCD clusters and clinical characteristics.ResultsAssessment of the public datasets and multivariate Cox analysis yielded 1254 PCDRGs, of which 10 PCDRGs for BLCA were identified. Based on the PCDRGs, a prognostic model was built for BLCA patient prognosis. Compared with the low‐risk group, the high‐risk group had a poorer prognosis. The model predicted area under the curve (AUC) values of 0.751, 0.753, and 0.763, respectively, for 1‐, 3‐, and 5‐year survival of BLCA patients. The nomogram further demonstrated the credibility of the prognosis model. The low‐risk group patients exhibited lower TIDE scores and higher TMB scores, implying better response of the low‐risk group to immunotherapy. The consensus clustering analysis indicated that compared with PCD cluster A, PCD cluster B was significantly more expressed in PCDRGs, suggesting a closer relation of PCD cluster B to PCDRGs. Patients in PCD cluster B had lower risk scores.ConclusionTo summarize, the effects of 12 PCD patterns on BLCA were synthesized and the correlation between PCD and BLCA was explored. These findings provide new and convincing evidence for individualized treatment of BLCA, and help guide the treatment strategy and improve the prognosis of BLCA patients.
Atezolizumab and bevacizumab for non‐resectable or metastatic combined hepatocellular‐cholangiocarcinoma: A multicentric retrospective study
Authors: Gigante Elia , Bouattour Mohamed , Bedoya José Ursic , Regnault Hélène , Ziol Marianne , Assenat Eric , Paradis Valérie , Calderaro Julien , Ganne‐Carrié Nathalie , Bouhier‐Leporrier Karine , Amaddeo Giuliana , Nault Jean Charles 
Published: December 2023

AbstractBackgroundsThe efficacy of atezolizumab/bevacizumab has never been reported in patients with metastatic/unresectable combined hepatocellular‐cholangiocarcinoma (cHCC‐CCA).Patients and MethodsWe retrospectively included patients with a histological diagnosis of unresectable/metastatic cHCC‐CCA and treated with atezolizumab/bevacizumab (2020–2022) in 7 centers. Clinical and radiological features were collected at the beginning of atezolizumab/bevacizumab. We reported the radiological response using RECIST criteria, overall survival (OS) and progression‐free survival (PFS).ResultsSixteen patients with cHCC‐CCA were included and were predominantly male (75%) with advanced fibrosis/cirrhosis (69%). Nine patients received atezolizumab/bevacizumab as a first‐line systemic treatment, 5 as a second line, 1 as a third line and 1 as a fifth line. Severe digestive bleeding occurred in 2 patients. Among the 9 patients treated in the first line, 4 experienced radiological progression, 3 partial response and 1 had stable disease. Patients treated with atezolizumab/bevacizumab in the first line had a median OS of 13 months and a median PFS of 3 months. Among the 7 patients receiving atezolizumab/bevacizumab as a second line or more, 4 patients harbored a stable disease, 2 a partial response, and 1 a progressive disease.ConclusionsThe combination of atezolizumab and bevacizumab showed signs of anti‐tumor efficacy in patients with unresectable/metastatic cHCC‐CCA.
Protecting Privacy in Volunteered Geographic Information Processing
Authors: Löchner Marc , Dunkel Alexander , Burghardt Dirk 
Published: December 2023

AbstractSocial media data is used for analytics, e.g., in science, authorities, or the industry. Privacy is often considered a secondary problem. However, protecting the privacy of social media users is demanded by laws and ethics. In order to prevent subsequent abuse, theft, or public exposure of collected datasets, privacy-aware data processing is crucial. In this chapter, we show a set of concepts to process social media data with social media user’s privacy in mind. We present a data storage concept based on the cardinality estimator HyperLogLog to store social media data, so that it is not possible to extract individual items from it, but only to estimate the cardinality of items within a certain set, plus running set operations over multiple sets to extend analytical ranges. Applying this method requires to define the scope of the result before even gathering the data. This prevents the data from being misused for other purposes at a later point in time and thus follows the privacy by design principles. We further show methods to increase privacy through the implementation of abstraction layers. As another additional instrument, we introduce a method to implement filter lists on the incoming data stream. A conclusive case study demonstrates our methods to be protected against adversarial actors.
Visually Reporting Geographic Data Insights as Integrated Visual and Textual Representations
Authors: Beck Fabian , Latif Shahid 
Published: December 2023

AbstractGeographic information volunteered by the public is usually also of public interest. However, just publishing the data is not enough to make the data accessible and usable for the public. The raw data might need to be abstracted and interpreted, as well as visually presented to be understandable to non-experts. To address this, we propose interactive visual reporting solutions that leverage natural language and visualizations for geo-related data. We present these reports as interactive documents, but also in other media such as virtual reality environments. First, we have studied the interplay of textual and visual content in such reports. To ease the creation of content, we have developed solutions for authoring interactive documents with a close linking of textual contents and visually presented data. Moreover, we propose automatic report generation approaches that specifically support the exploration of the geo-related data starting from an explanatory summary.