bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydrogels in Gene Delivery Techniques for Regenerative Medicine and Tissue Engineering
Authors: Xu Kexing , Zhang Qinmeng , Zhu Danji , Jiang Zhiwei 
Published: January 2024

AbstractHydrogels are 3D networks swollen with water. They are biocompatible, strong, and moldable and are emerging as a promising biomedical material for regenerative medicine and tissue engineering to deliver therapeutic genes. The excellent natural extracellular matrix simulation properties of hydrogels enable them to be co‐cultured with cells or enhance the expression of viral or non‐viral vectors. Its biocompatibility, high strength, and degradation performance also make the action process of carriers in tissues more ideal, making it an ideal biomedical material. It has been shown that hydrogel‐based gene delivery technologies have the potential to play therapy‐relevant roles in organs such as bone, cartilage, nerve, skin, reproductive organs, and liver in animal experiments and preclinical trials. This paper reviews recent articles on hydrogels in gene delivery and explains the manufacture, applications, developmental timeline, limitations, and future directions of hydrogel‐based gene delivery techniques.
Photocuring 3D Printing of Hydrogels: Techniques, Materials, and Applications in Tissue Engineering and Flexible Devices
Authors: Lu Guoqiang , Tang Ruifen , Nie Jun , Zhu Xiaoqun 
Published: January 2024

AbstractPhotocuring 3D printing of hydrogels, with sophisticated, delicate structures and biocompatibility, attracts significant attention by researchers and possesses promising application in the fields of tissue engineering and flexible devices. After years of development, photocuring 3D printing technologies and hydrogel inks make great progress. Herein, the techniques of photocuring 3D printing of hydrogels, including direct ink writing (DIW), stereolithography (SLA), digital light processing (DLP), continuous liquid interface production (CLIP), volumetric additive manufacturing (VAM), and two photon polymerization (TPP) are reviewed. Further, the raw materials for hydrogel inks (photocurable polymers, monomers, photoinitiators, and additives) and applications in tissue engineering and flexible devices are also reviewed. At last, the current challenges and future perspectives of photocuring 3D printing of hydrogels are discussed.
Description of component distortion in aluminum gravity die casting as a result of hindered shrinkage and evaluation of numerical predictions
Authors: Wolff N. , Gor S. , Vroomen U. , Bührig‐Polaczek A. 
Published: January 2024

AbstractDeviation from the nominal dimension in the sense of component distortion is a quality‐reducing phenomenon in the foundry. This distortion problem as a result of impeded solidification and cooling shrinkage is of particular importance for permanent mold casting with its mechanically stiff and thermally well‐conducting molds. In studies, the temperature when the mold constraint is removed has already been identified as one of the dominant factors influencing the dimensional deviations of the casting. So far, however, no clear dependencies have been described. In the present work, the temperature up to the removal of the mold constraint is varied from near solidus to ambient temperature on a specially designed permanent mold casting made of AlSi7Mg0.3. This is compared with thermally and mechanically coupled finite elements method calculations of the investigated test geometry and the resulting component distortions. Finally, the applicability of the distortion prediction for the development of compensation strategies is evaluated.
Prodromal Cognitive Changes as a Prognostic Indicator of Forthcoming Huntington's Disease Severity: A Retrospective Longitudinal Study
Authors: Migliore Simone , Bianco Salvatore Daniele , Scocchia Marta , Maffi Sabrina , Busi Ludovica Camilla , Ceccarelli Consuelo , Curcio Giuseppe , Mazza Tommaso , Squitieri Ferdinando 
Published: January 2024

AbstractBackgroundCognitive changes in Huntington's disease (HD) precede motor manifestations. ENROLL‐HD platform includes four cognitive measures of information processing speed (IPS). Our group is eager to seek clinical markers in the life stage that is as close as possible to the age of onset (ie, the so called prodromal HD phase) because this is the best time for therapeutic interventions.ObjectivesOur study aimed to test whether cognitive scores in prodromal ENROLL‐HD mutation carriers show the potential to predict the severity of motor and behavioral changes once HD became fully manifested.MethodsFrom the global ENROLL‐HD cohort of 21,343 participants, we first selected a premanifest Cohort#1 (ie, subjects with Total Motor Score (TMS) <10 and Diagnostic Confidence Level (DCL) <4, N = 1.222). From this cohort, we then focused on a prodromal Cohort#2 of subjects who were ascertained to phenoconvert into manifest HD at follow‐up visits (ie, subjects from 6 ≤ TMS≤9 and DCL <4 to TMS≥10 and DCL = 4, n = 206).ResultsThe main results of our study showed that low IPS before phenoconversion in Cohort#2 predicted the severity of motor and behavioral manifestations. By combining the four IPS cognitive measures (eg, the Categorical Verbal Fluency Test; Stroop Color Naming Test; Stroop Word Reading; Symbol Digit Modalities Test), we generated a Composite Cognition Score (CCS). The lower the CCS score the higher the TMS and the apathy scores in the same longitudinally followed‐up patients after phenoconversion.ConclusionsCCS might represent a clinical instrument to predict the prognosis of mutation carriers who are close to manifesting HD.
The targeting of DAPK1 with miR‐190a‐3p promotes autophagy in trophoblast cells
Authors: Luo Qi‐qi , Tian Yu , Qu Guang‐jin , Huang Kun , Hu Pan‐pan , Xue Ying , Hu Bi‐feng , Luo Shan‐shun 
Published: January 2024

AbstractPre‐eclampsia (PE) is a dangerous pathological status that occurs during pregnancy and is a leading reason for both maternal and fetal death. Autophagy is necessary for cellular survival in the face of environmental stress as well as cellular homeostasis and energy management. Aberrant microRNA (miRNA) expression is crucial in the pathophysiology of PE. Although studies have shown that miRNA (miR)‐190a‐3p function is tissue‐specific, the precise involvement of miR‐190a‐3p in PE has yet to be determined. We discovered that miR‐190a‐3p was significantly lower and death‐associated protein kinase 1 (DAPK1) was significantly higher in PE placental tissues compared to normal tissues, which is consistent with the results in cells. The luciferase analyses demonstrated the target‐regulatory relationship between miR‐190a‐3p and DAPK1. The inhibitory effect of miR‐190a‐3p on autophagy was reversed by co‐transfection of si‐DAPK1 and miR‐190a‐3p inhibitors. Thus, our data indicate that the hypoxia‐dependent miR‐190a‐3p/DAPK1 regulatory pathway is implicated in the development and progression of PE by promoting autophagy in trophoblast cells.
Feasibility of remote interviews in assessing disease severity in patients with major depressive disorder: A pilot study
Authors: Sumiyoshi Tomiki , Morio Yasunori , Kawashima Takahiro , Tachimori Hisateru , Hongo Seiji , Kishimoto Taishiro , Watanabe Koichiro , Otsubo Tempei , Oi Hideki , Nakagome Kazuyuki , Ishigooka Jun 
Published: January 2024

AbstractAimInterview quality is an important factor in the success of clinical trials for major depressive disorder (MDD). There is a substantial need to establish a reliable, remote clinical assessment interview system that can replace traditional in‐person interviews.MethodsWe conducted a multicenter, randomized, unblinded, prospective, cross‐sectional study to assess the reliability of remote interviews in patients with MDD (UMIN000041839). Eligible patients with MDD underwent remote and in‐person sessions of the Montgomery‐Åsberg Depression Rating Scale (MADRS) assessment performed by different raters within 28 days of providing consent. Patients were randomized to a group first assessed using in‐person interviews and secondarily using remote interviews (in‐person‐first group) or a group first assessed by remote interviews and secondarily using in‐person interviews (remote‐first group). Nineteen trained people (15 clinical psychologists, 3 nurses, and 1 clinical laboratory technologist) performed interviews.ResultsOf 59 patients (in‐person‐first group, n = 32; remote‐first group, n = 27) who completed both remote and in‐person interviews, 51% (n = 30) were women; the mean age was 41.6 years (range, 21–64 years). There was a strong association between remote and in‐person MADRS scores (r = 0.891, kappa = 0.901). An overall intraclass correlation coefficient (ICC) of 0.886 (95% confidence interval, 0.877–0.952) indicated good consistency between MADRS scores in remote and in‐person interviews. The ICC decreased as the severity of depression increased.ConclusionOur results suggest remote interviews are a feasible alternative option to in‐person interviews in assessing symptom severity in MDD patients and could promote clinical trials in Japan.
Blow molding liquid crystal aromatic polyester/polyetherimide film by rotating die: Enhanced film bubble stability and mechanical properties
Authors: Yang Zhitao , Fang Yiping , Zeng Jiajing , Liu Yong , Zhang Zhen , Li Cheng , Cao Xianwu 
Published: January 2024

AbstractLiquid crystal polymer (LCP) is the preferred material for 5G antenna materials, but its poor film processing performance has become the main factor restricting its development. In this paper, polyetherimide (PEI) was blended with LCP, and LCP/PEI composite films were prepared by interleaved extension blow molding equipment. The effects of PEI content and interleaved extension blow molding equipment on the stability of the film bubble and the properties of the product were studied. The results show that the addition of PEI can effectively improve the stability of the film bubble in the process of interleaved extension blow molding, and the toughness of the prepared LCP/PEI composite film is obviously improved. In addition, the addition of PEI does not affect the low dielectric properties of LCP, which perfectly matches the low dielectric characteristics required for 5G communication.
“Just let me go”; When suicidal ideation and goals of care collide in adolescent cancer at the end of life
Authors: Lucas Bryony , Friend Brian , Jarrell Jill Ann , Kentor Rachel 
Published: January 2024

AbstractCancer in adolescents and young adults is associated with an increased risk for suicidal ideation (SI). There are no reported pediatric oncology cases describing management of SI during end of life. We present the case of a 14‐year‐old male with relapsed, high‐risk, B‐cell acute lymphoblastic leukemia who received a haploidentical stem cell transplant and was suicidal at various points in his treatment. We discuss how to manage acute suicidality in this patient population, the importance of giving a voice to the adolescent patient, the impact of discordant goals of care, and potential preventive strategies for similar cases.
Mechanical property and thermal stability of short carbon fiber reinforced polysulfonamide composites
Authors: Chen ZeChao , An Tong , Lu KeAn , Hong JianTing , Zhang FangZhou , Peng YuQing , Li AiJun , Zheng Zhen , Liu LiQi 
Published: January 2024

AbstractIn this paper, polysulfonamide‐based composite materials (SCF/PSAf composite) reinforced by the short carbon fiber were prepared. The mechanical properties and thermal stability of SCF/PSAf composite were characterized experimentally and compared with those of polysulfonamide‐based single‐polymer composites (PSA SPCs). Results showed that SCF/PSAf composites exhibit higher thermal stability due to the excellent thermal stability of SCFs. Furthermore, the additional short carbon fibers also considerably enhance the flexure strength of PSA SPCs due to the strong interfacial bonding between SCF and PSAf. The properties and understanding of SCF/PSAf composite obtained in this work can benefit further applications of this novel composite material.Highlights
SCF/PSAf composites are prepared by hot compression, and the adhesion between the PSA matrix and SCF is good.
The flexural strength of the SCF/PSAf composite is about 2.5 times higher than that of PSA SPCs.
The storage modulus of SCF/PSAf composites is about 3.5 times higher than that of PSA SPCs.
The addition of short carbon fibers helps to improve the thermal properties of SCF/PSAf composites.
SCF/PSAf composite has a stronger ability to resist deformation and a higher operating temperature than the PSA SPCs do.
A multiscale consolidation model for press molding of hybrid textiles into complex geometries
Authors: Werlen Vincent , Rytka Christian , Dransfeld Clemens , Brauner Christian , Michaud Véronique 
Published: January 2024

AbstractModeling the consolidation of fiber‐reinforced thermoplastic composites at the part level presents a formidable computational challenge due to the multi‐scale nature of the process. In this article, a method to bypass the multi‐scale problem by homogenizing the micro scale and describing the medium with characteristic parameters is described. The model is intended for press molding of hybrid textiles and considers a free‐form plate with non‐uniform thickness and can describe consolidation in three dimensions with some restrictions. 2D implementation in FEM shows how in‐plane matrix pressure gradients can arise in parts and cause fiber disorientation. Experimental verification demonstrates that fiber disorientation arises at the predicted location, and that defect size is proportional to matrix pressure gradient. This novel consolidation model provides new insights, enables part and process optimization, and paves the way for high‐quality composite part production.Highlights
A consolidation model for press molding of hybrid textiles is presented.
A method to extend consolidation models for complex geometry is presented.
The origin of defect formation in complex geometries is explained.
Combination eravacycline therapy for ventilator‐associated pneumonia due to carbapenem‐resistant Acinetobacter baumannii in patients with COVID‐19: A case series
Authors: Jackson Melissa N. W. , Wei Wenjing , Mang Norman S. , Prokesch Bonnie C. , Ortwine Jessica K. 
Published: January 2024

AbstractBackgroundCarbapenem‐resistant Acinetobacter baumannii (CRAB) pneumonia is associated with poor clinical outcomes and increased mortality. Clinical data regarding the optimal treatment of CRAB is limited, and combination therapy is often preferred. Eravacycline has demonstrated in‐vitro activity against A. baumannii and has been considered for the treatment of pulmonary infections caused by CRAB.ObjectiveThe objective of this case series was to describe clinical outcomes associated with eravacycline when utilized as part of a combination regimen for the treatment of CRAB pneumonia at a county hospital.MethodsA retrospective chart review was conducted from April 1, 2020, to October 1, 2020, which included hospitalized patients ≥18 years of age, diagnosed with coronavirus disease 2019 (COVID‐19), with a sputum culture positive for CRAB, and receipt of at least one dose of eravacycline. The primary outcome studied was clinical resolution of CRAB pneumonia. A key secondary outcome was microbiological resolution.ResultsA total of 24 patients received combination eravacycline therapy for a median of 10.5 days. Overall, 17 (71%) patients demonstrated clinical resolution of CRAB pneumonia. Repeat sputum cultures post‐treatment were collected in 17 (71%) patients, of which 12 (71%) achieved microbiological resolution. No adverse events attributable to eravacycline were identified.ConclusionWith limited viable salvage treatment options, combination eravacycline therapy showed favorable microbiological and clinical outcomes in patients with CRAB pneumonia. In light of this, eravacycline could be considered as a potential treatment option when designing CRAB pneumonia salvage therapy regimens.
Child anger regulation measure: Psychometric properties, prediction of emotional engagement, and gender differences
Authors: O'Neal Colleen R. , Meyering Kristin , Babaturk Leyla , Gosnell Nicole 
Published: January 2024

AbstractThe objective of this study was to understand the psychometric functioning of the Child Anger Regulation Measure (CARM), its prediction of emotional engagement, and if the prediction of emotional engagement differs for girls and boys. The sample included 251 upper‐elementary school students in the United States (10% Black, 62% White, 6% Latinx, 5% Asian, 12% Multiethnic/Other; 58% female; average age = 9.7 years). Emotional engagement in school was reported by both students and teachers. Confirmatory factor analysis (CFA) indicated adequate fit of the data to the first‐order correlated theioretical model at two time points. Internal and test–retest reliability was moderate‐strong; the internal reliability of the anger withdraw strategy was weak for boys but adequate for girls. Of the five anger regulation latent predictors, the path analysis indicated that latent pause anger (i.e., waiting before responding to anger) was the strongest and sole predictor of how emotionally engaged a student felt in school, based on both student‐ and teacher‐reported engagement and controlling for other anger regulation (AR) strategies. There was partial measurement invariance across boys and girls, and there were no gender differences in AR prediction of emotional engagement. Implications for assessment, psychoeducation, and school contexts are discussed.
RNAi‐based genetically engineered rice resistant to black‐streaked dwarf virus does not show adverse genetic effects: A multi‐omics analysis
Authors: Huang Chunmeng , Wang Zhi , Zhu Pengyu , Xu Wenjie , Du Zhixin , Qian Yike , Fu Wei 
Published: January 2024

Societal Impact StatementAdvancements in science and technology enable us to address the challenges of the times: hunger, malnutrition, climate change, and dwindling natural resources. One of the most significant innovations in food and agriculture is the advent of genetic engineering, which may help us address the aforementioned challenges. Millions of people could benefit from the application of genetically engineered crops in agriculture and food. However, it is vital that biosafety assessments of unintended effects are carried out to identify any potential risks to humans, the environment, or society.Summary

The study compared the extent of siRNA, transcriptomic and metabolomic changes in the leaves of four RNAi‐based genetically engineered rice lines to evaluate whether RNAi‐based genetically engineered rice that is resistant to black‐streaked dwarf virus experiences changes not seen in the non‐genetically engineered counterpart.
siRNA, transcriptome, and metabolome profiling were conducted. siRNAs with different lengths and abundance were highly enriched in the transcript of rice; however, relative expression analysis of eight potential off‐target genes revealed that there was no decrease in gene expression in the RNAi‐based genetically engineered lines, meaning that no off‐target phenomena were caused as a result of siRNA derived from invert repeat sequences of rice black‐streaked dwarf virus in this study.
This study identified some differentially expressed genes and differentially accumulated metabolites in the RNAi‐based genetically engineered lines; however, they were not enriched in pathways detrimental for humans, animals and the environment. Only 30 differentially expressed genes were significantly enriched in the plant hormone signal transduction pathway via a combined analysis using two‐way orthogonal partial least squares model. These genes belonging to salicylic acid, jasmonic acid, cytokinin, abscisic acid, and brassinosteroid pathway involved in pathways related to virus resistance or infection response were significantly changed.
Taken together, there was no off‐target in RNAi‐based genetically engineered rice lines and may have a positive effect on virus resistance overall in this study.
Considerations in Bayesian agent‐based modeling for the analysis of COVID‐19 data
Authors: Um Seungha , Adhikari Samrachana 
Published: January 2024

AbstractAgent‐based model (ABM) has been widely used to study infectious disease transmission by simulating behaviors and interactions of autonomous individuals called agents. In the ABM, agent states, for example infected or susceptible, are assigned according to a set of simple rules, and a complex dynamics of disease transmission is described by the collective states of agents over time. Despite the flexibility in real‐world modeling, ABMs have received less attention by statisticians because of the intractable likelihood functions which lead to difficulty in estimating parameters and quantifying uncertainty around model outputs. To overcome this limitation, a Bayesian framework that treats the entire ABM as a Hidden Markov Model has been previously proposed. However, existing approach is limited due to computational inefficiency and unidentifiability of parameters. We extend the ABM approach within Bayesian framework to study infectious disease transmission addressing these limitations. We estimate the hidden states, represented by individual agent's states over time, and the model parameters by applying an improved particle Markov Chain Monte Carlo algorithm, that accounts for computing efficiency. We further evaluate the performance of the approach for parameter recovery and prediction, along with sensitivity to prior assumptions under various simulation conditions. Finally, we apply the proposed approach to the study of COVID‐19 outbreak on Diamond Princess cruise ship. We examine the differences in transmission by key demographic characteristics, while considering two different networks and limited COVID‐19 testing in the cruise.
Review on Agrobiowaste‐mediated Nanohybrids for Removal of Toxic Heavy Metals from Wastewater
Authors: Chaudhary Ratiram G. , Singh Nakshtra B. , Daddemal‐Chaudhary Ankita R. , Sharma Rohit 
Published: January 2024

AbstractBecause of the growing population and the industrial revolution, a significant number of toxic materials including heavy metals (HMs) are being released into the environment, posing harm to humans, the environment, and other living organisms. When these HMs find their way into water sources, they cause water pollution and pose a threat to the ecosystem. As a result, there is an imperative need to eliminate these HMs from the water. Numerous techniques are being employed for water purification, but adsorption is the most economical and efficient method. The present article critically discussed the applications of different adsorbents including agricultural wastes, industrial wastes, biochar, chitosan, aerogel‐based adsorbents, geopolymer cement/concrete, carbon‐based nanomaterials (NMs), and polymer‐supported nanocomposites (NCs) for removal of HMs from wastewater. Removal capacity of some of the adsorbents are tabulated. Effects of dose of adsorbent, contact time, pH, temperature, initial ion concentration and ionic strength on the removal of HMs from water have been explored. Various adsorption isotherm and kinetic models have also been discussed, including the modeling using artificial neural networks.