bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accelerated degradation of photovoltaic modules under a future warmer climate
Authors: Poddar Shukla , Rougieux Fiacre , Evans Jason P. , Kay Merlinde , Prasad Abhnil A. , Bremner Stephen P. 
Published: February 2024

AbstractSolar photovoltaic (PV) module deployment has surged globally as a part of the transition towards a decarbonized electricity sector. However, future climate change presents issues for module degradation due to prolonged exposure to outdoor conditions. Here, we identify key degradation mechanisms of monocrystalline‐silicon (mono‐Si) modules and empirically model their degradation modes under various climate scenarios. Modules tend to degrade faster due to the thermal degradation mechanism. We estimate that the weighted average degradation rate will increase up to 0.1%/year by 2059. On assessing the impacts of module degradation on future PV power generation and levelized cost of energy, we project up to 8.5% increase in power loss that leads to ~10% rise in future energy price. These results highlight the need to climate‐proof PV module design through careful material selection and improvements in the module manufacturing process. In particular, we recommend the use of heat dissipation techniques in modules to prevent degradation due to overheating.
Collagen‐cellulose‐poly(l‐lactide) scaffold by electrospinning and plasma‐assisting fabrication for bone tissue engineering applications
Authors: Ziblim Zulka , Thapsukhon Boontharika , Choommongkol Vachira , Boonyawan Dheerawan , Inthanon Kewalin , Khantamat Orawan , Ruangsuriya Jetsada 
Published: February 2024

AbstractNovel biomaterials suitable for bone tissue engineering are currently in demand, and reformulating natural and synthetic biomaterials has caught scientists' attention. Cellulose and collagen have been utilized in biomedical fields. This research aimed to fabricate collagen‐cellulose‐poly(l‐lactide) (Col‐Cel‐PLL) scaffold using collagen, cellulose, and poly(
l‐lactide) through electrospinning and radiofrequency plasma treatment and to examine the scaffold's physicochemical and biological properties. Fourier transform infrared spectroscopy revealed its chemistry, and scanning electron microscopy showed fine interconnecting microfibrous fibers; it was super‐hydrophilic with low crystallinity (25.59%) and great Young's modulus (163.940 ± 8.008 MPa), and it was reasonably degraded. Regarding biological properties, the scaffold was biocompatible by supporting cell attachment and viability. Cells on the Col‐Cel‐PLL produced high total protein levels and collagen deposition. However, the alkaline phosphatase activity was significantly low.
Longitudinal changes of swallowing safety and efficiency in infants with spinal muscular atrophy who received disease modifying therapies
Authors: Leon‐Astudillo Carmen , Brooks Olivia , Salabarria Stephanie M. , Coker Mackenzi , Corti Manuela , Lammers Jenna , Plowman Emily K. , Byrne Barry J. , Smith Barbara K. 
Published: February 2024

AbstractBackgroundDysphagia is a common feature of the natural history of patients with spinal muscular atrophy (SMA). Literature regarding swallowing safety and efficiency is scarce in patients with SMA, particularly in the era of newborn screening programs and disease‐modifying therapies.ObjectiveTo describe the longitudinal changes of swallowing safety and efficiency in children with SMA who received one or more disease modifying therapiesMethodsCase series of patients with SMA followed at the University of Florida from 1 May 2019 to 31 December 2022 who had two or more videofluoroscopy swallowing studies (VFSS), with the first being within 30 days of their first treatment. Data extracted from the electronic health record included: neuromotor outcomes, VFSS penetration aspiration scores (PAS), presence of abrnormal oral or pharyngeal residue, clinical history, and timing of disease‐modifying therapies administration.ResultsSeven subjects were included (five male); three were diagnosed via newborn screen. Median age at diagnosis was 10 days (range: 4–250). Median age at initial VFSS was 29 days (range: 9–246), and age at the last VFSS was 26.1 months (range: 18.2–36.2). All subjects received onasemnogene‐abeparvovec (OA); four received additional therapies. PAS at diagnosis was abnormal in four subjects. Six subjects required feeding modifications after VFSS results. Of these, three had silent aspiration (PAS 8) and three of them improved after treatment.ConclusionsSwallowing safety and efficiency can be impaired in patients with SMA despite early treatment. Larger, prospective studies are needed to define optimal timiing of longitudinal instrumental evaluations.
Key interaction networks: Identifying evolutionarily conserved non‐covalent interaction networks across protein families
Authors: Yehorova Dariia , Crean Rory M. , Kasson Peter M. , Kamerlin Shina C. L. 
Published: February 2024

AbstractProtein structure (and thus function) is dictated by non‐covalent interaction networks. These can be highly evolutionarily conserved across protein families, the members of which can diverge in sequence and evolutionary history. Here we present KIN, a tool to identify and analyze conserved non‐covalent interaction networks across evolutionarily related groups of proteins. KIN is available for download under a GNU General Public License, version 2, from https://www.github.com/kamerlinlab/KIN. KIN can operate on experimentally determined structures, predicted structures, or molecular dynamics trajectories, providing insight into both conserved and missing interactions across evolutionarily related proteins. This provides useful insight both into protein evolution, as well as a tool that can be exploited for protein engineering efforts. As a showcase system, we demonstrate applications of this tool to understanding the evolutionary‐relevant conserved interaction networks across the class A β‐lactamases.
In silico modeling and simulation of organ‐on‐a‐chip systems to support data analysis and a priori experimental design
Authors: Milani Nicoló , Parrott Neil , Galetin Aleksandra , Fowler Stephen , Gertz Michael 
Published: February 2024

AbstractOrgan‐on‐a‐chip (OoC) systems are a promising new class of in vitro devices that can combine various tissues, cultured in different compartments, linked by media flow. The properties of these novel in vitro systems linked to increased physiological relevance of culture conditions may lead to more in vivo‐relevant cell phenotypes, enabling better in vitro pharmacology and toxicology assessment. Improved cell activities combined with longer lasting cultures offer opportunities to improve the characterization of absorption, distribution, metabolism, and excretion (ADME) processes, potentially leading to more accurate prediction of human pharmacokinetics (PKs). The inclusion of barrier tissue elements and metabolically competent tissue types results in complex concentration‐time profiles (in vitro PK) for test drugs and their metabolites that require appropriate mathematical modeling of in vitro data for parameter estimation. In particular, modeling is critical to estimate in vitro ADME parameters when multiple different tissues are combined in a single device. Therefore, sophisticated in silico data analysis and a priori experimental design are highly recommended for OoC experiments in a manner not needed with standard ADME screening. The design of the experiment should be optimized based on an investigation of the structural characteristics of the in vitro system, the ADME features of the test compound and any available knowledge of cell phenotypes. This tutorial aims to provide such a modeling framework to inform experimental design and refine parameter estimation in a Gut‐Liver OoC (the most studied multi‐organ systems to predict the oral drug PKs) to improve translatability of data generated in such complex cellular systems.
On sample size calculation in drug interaction trials
Authors: Meyvisch Paul , Ebrahimpoor Mitra 
Published: February 2024

AbstractDrug–drug interaction (DDI) trials are an important part of drug development as they provide evidence on the benefits and risks when two or more drugs are taken concomitantly. Sample size calculation is typically recommended to be based on the existence of clinically justified no‐effect boundaries but these are challenging to define in practice, while the default no‐effect boundaries of 0.8–1.25 are known to be overly conservative requiring a large sample size. In addition, no‐effect boundaries are of little use when there is prior pharmacological evidence that a mild or moderate interaction between two drugs may be present, in which case effect boundaries would be more useful. We introduce precision‐based sample size calculation that accounts for both the stochastic nature of the pharmacokinetic parameters and the anticipated width of (no‐)effect boundaries, should these exist. The methodology is straightforward, requires considerably less sample size and has favorable operating characteristics. A case study on statins is presented to illustrate the ideas.
Anti‐inflammatory, antioxidant, and immunomodulatory effects of Berberis vulgaris and its constituent berberine, experimental and clinical, a review
Authors: Shakeri Farzaneh , Kiani Sahar , Rahimi Golnoosh , Boskabady Mohammad Hossein 
Published: February 2024

AbstractBerberis vulgaris (B. vulgaris or barberry) is a medicinal plant that has been used for various purposes in traditional medicine. Berberine is one of the main alkaloids isolated from B. vulgaris and other plants. Both B. vulgaris and berberine have shown anti‐inflammatory, antioxidant, and immunomodulatory effects in different experimental models and clinical trials. This review aims to summarize the current evidence on the mechanisms and applications of B. vulgaris and berberine in modulating inflammation, oxidative stress, and immune responses. The literature search was performed using PubMed, Scopus, and Google Scholar databases until August 2023. The results indicated that B. vulgaris and berberine could inhibit the production of pro‐inflammatory cytokines, such as tumor necrosis factor‐alpha (TNF‐α), interleukin‐1β (IL‐1β), interleukin 6 (IL‐6), and interleukin‐17 (IL‐17), and enhance the expression of anti‐inflammatory cytokines, such as interleukin 10 (IL‐10) and transforming growth factor‐β (TGF‐β), in various cell types and tissues. B. vulgaris and berberine can also scavenge free radicals, increase antioxidant enzymes, such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx), and reduce lipid peroxidation and DNA damage. B. vulgaris and berberine have been reported to exert beneficial effects in several inflammatory, oxidative, and immune‐related diseases, such as diabetes, obesity, cardiovascular diseases, neurodegenerative diseases, autoimmune diseases, allergic diseases, and infections. However, more studies are needed to elucidate the optimal doses, safety profiles, and potential interactions of B. vulgaris and berberine with other drugs or natural compounds.
Anticancer and chemopreventive potential of Morinda citrifolia L. bioactive compounds: A comprehensive update
Authors: Kitic Dusanka , Miladinovic Bojana , Randjelovic Milica , Szopa Agnieszka , Seidel Veronique , Prasher Parteek , Sharma Mousmee , Fatima Rabab , Arslan Ateşşahin Dilek , Calina Daniela , Sharifi‐Rad Javad 
Published: February 2024

AbstractMorinda citrifolia L., commonly known as Noni, has a longstanding history in traditional medicine for treating various diseases. Recently, there has been an increased focus on exploring Noni extracts and phytoconstituents, particularly for their effectiveness against cancers such as lung, esophageal, liver, and breast cancer, and their potential in cancer chemoprevention. This study aims to provide a comprehensive review of in vitro and in vivo studies assessing Noni's impact on cancer, alongside an exploration of its bioactive compounds. A systematic review was conducted, encompassing a wide range of scientific databases to gather pertinent literature. This review focused on in vitro and in vivo studies, as well as clinical trials that explore the effects of Noni fruit and its phytoconstituents—including anthraquinones, flavonoids, sugar derivatives, and neolignans—on cancer. The search was meticulously structured around specific keywords and criteria to ensure a thorough analysis. The compiled studies highlight Noni's multifaceted role in cancer therapy, showcasing its various bioactive components and their modes of action. This includes mechanisms such as apoptosis induction, cell cycle arrest, antiangiogenesis, and immune system modulation, demonstrating significant anticancer and chemopreventive potential. The findings reinforce Noni's potential as a safe and effective option in cancer prevention and treatment. This review underscores the need for further research into Noni's anticancer properties, with the hope of stimulating additional studies and clinical trials to validate and expand upon these promising findings.
Understanding what drives genetic study participation: Perspectives of patients, carers, and relatives
Authors: Swietlik Emilia M. , Fay Michaela , Morrell Nicholas W. 
Published: February 2024

AbstractGenetic research's growing importance in understanding pulmonary arterial hypertension (PAH) and developing effective treatments prompted the RAPID‐PAH study. This study sought feedback from stakeholders who participated in two genomic studies to enhance genetic study delivery and clinical integration. Stakeholders from nine UK PH centres, representing various roles, ages, genders, and mutation statuses, took part in 53 semi‐structured interviews and focus groups. Transcripts were thematically coded using inductive analysis. Clustering analysis was conducted to identify patient groups that shared attitudes. In this paper, we focus on patients', carers', and relatives' perspectives. The key interview themes revealed insights into participants' attitudes toward genetic research and testing more generally, expertise and knowledge of the disease itself, motivations and barriers to participating in genetic research, awareness of and interest in consent procedures and the use of personal and genetic data, as well as the process of communicating individual genetic results. Factors influencing genetic research participation included altruistic motives, personal diagnostic experiences, and family‐related hopes. Clustering analysis produced distinct clusters based on the presence of barriers and motivators for research participation; however, hardly any patients shared identical sets of attitudes, emphasising the need for personalised approaches to recruitment. Most patients reported poor engagement with study‐related materials. Patients who received individual genetic results expressed satisfaction with the process, whereas those who did not were disappointed with the lack of feedback. Reflecting on patient perspectives, we offer recommendations to improve the genetic study delivery process. Enhancing genetic research integration into clinical practice requires tailored engagement, clear communication, and support from healthcare stakeholders.
Mapping doctoral dissertations in an educational leadership programme: A longitudinal examination of knowledge construction in the last two decades
Authors: Arar Khalid , Yilmaz Munube , Koschoreck James W. 
Published: February 2024

AbstractThis paper offers a meta‐analysis scoping study of doctoral dissertations completed in the last 20 years in one doctoral programme of Educational Leadership (EL) at a higher education institution in Texas, aiming at identifying topical foci, epistemology, methodology and main themes. Therefore, we systematically collected, documented, securitised and analysed completed dissertations following the steps identified by PRISMA guidelines. The review aimed to answer the following four questions: (1) What are the general trends of doctoral dissertations in the studied programme? (2) What is the topical foci of these dissertations? (3) What are the prevailing epistemological constructs and genres informing this work? (4) What are the gaps in this research focus within the scope of educational leadership and policy? Based on our analysis, four main key themes were identified: educational leadership and policy, public education, equity and social justice, and race and ethnicity. Further implications, utility of research and future dissertations in educational leadership in this programme and other similar programmes are fully discussed.
Analysis of cell–cell interaction between mural granulosa cells and cumulus granulosa cells during ovulation using single‐cell RNA sequencing data of mouse ovary
Authors: Shirafuta Yuichiro , Tamura Isao , Shiroshita Amon , Fujimura Taishi , Maekawa Ryo , Taketani Toshiaki , Sugino Norihiro 
Published: February 2024

AbstractPurposeWe investigated the interactions between mural granulosa cells (MGCs) and cumulus granulosa cells (CGCs) during ovulation after the LH surge.MethodsWe performed clustering, pseudotime, and interactome analyses utilizing reported single‐cell RNA sequencing data of mouse ovary at 6 h after eCG‐hCG injection.ResultsClustering analysis classified granulosa cells into two distinct populations, MGCs and CGCs. Pseudotime analysis divided granulosa cells into before and after the LH surge, and further divided them into two branches, the ovulatory MGCs and the ovulatory CGCs. Interactome analysis was performed to identify the interactions between MGCs and CGCs. Twenty‐six interactions were acting from CGCs toward MGCs, involving ovulation and steroidogenesis. Thirty‐six interactions were acting from MGCs toward CGCs, involving hyaluronan synthesis. There were 25 bidirectional interactions, involving the EGFR pathway. In addition, we found three novel interactions: Ephrins–Ephs pathway and Wnt–Lrp6 pathway from CGCs to MGCs, associated with steroidogenesis and lipid transport, respectively, and TGF‐β–TGFBR1 pathway from MGCs to CGCs, associated with hyaluronan synthesis.ConclusionsMGCs and CGCs interact with each other in the preovulatory follicle after the LH surge, and their interactions have roles in corpus luteum formation, oocyte maturation, and follicle rupture.
Secure memory adaptive event‐triggered filter design of nonlinear network system under hybrid network attacks with application to tunnel diode circuit
Authors: Dai Xinqiang , Lu Hongqian , Zhou Wuneng 
Published: February 2024

AbstractThis article investigates the problem of secure memory adaptive event‐triggered filter design for nonlinear network systems under hybrid network attacks. First, the introduction of memory adaptive event‐triggered mechanism and numerical quantization is employed to enhance system performance, optimize network channel utilization, and prevent network congestion. Second, we consider the impact of deceptive attacks and DoS attacks occurring in the network channel on data transmission, which form the hybrid network attacks studied in this article. Subsequently, based on the established error model, we derive sufficient conditions for the mean‐square exponential stability of the system under a given performance index using Lyapunov–Krasovskii function and linear matrix inequality (LMI) techniques. Furthermore, the filter parameters are determined using the LMI method. Finally, we illustrate the feasibility and generality of the conclusions through numerical simulation examples and a tunnel diode circuit system.
Multiple Subcutaneous Abscesses by Corynebacterium Amycolatum in a Patient with Severe Idiopathic Aplastic Anaemia
Authors: Shintani Yuka , Fukushima-Nomura Ayano , Funakoshi Takeru , Sakurai Masatoshi , Kato Jun , Fukuyama Masahiro , Inazumi Toyoko , Ohkusu Kiyofumi , Takahashi Hayato 
Published: February 2024

Abstract
Corynebacterium amycolatum is a part of the normal skin flora and has been underestimated as a pathogen. However, in recent years, the species has gained recognition as an important pathogen causing severe infections, particularly in immunocompromised patients. Nevertheless, identifying these organisms at the species level is difficult in routine clinical microbiology, leading to limited knowledge of their clinical manifestations in infectious diseases. In this study, we report a rare case of multiple subcutaneous abscesses in a patient with severe neutropenia, wherein C.amycolatum was identified as the causative organism through genotyping tests. This case highlights the importance of this organism as an aetiological agent of severe skin infections in patients with compromised immune systems.
Residual water and interfacial bonding effects on the mechanical performance of CNT/fly ash geopolymer binder
Authors: Sekkal W. , Zaoui A. 
Published: February 2024

AbstractNowadays, geopolymers are advanced alternatives to cementitious materials, where their excellent chemical and fire resistance are some of its most appealing properties. Fly ash geopolymers enable the use of industrial waste materials while converting them into a novel binding material. Their production is accompanied by a much lower CO2 emission when compared to Portland cement. Reinforcing fly ash geopolymers with carbon nanotubes would significantly strengthen its microstructure and with this enhancing the long‐term mechanical and durability performance. The aim of this work is to use reactive molecular dynamics simulation method to optimize the mechanical properties of fly ash geopolymers with nano‐reinforced carbon nanotubes (CNTs). During this study, the impact of humidity and interfacial bonding strength between carbon nanotube and geopolymer is investigated. Our findings show that structural transformations under hydration process comes from the weakening of AlO bond, leading to the elongation of AlO and NaOH bonds, forming aluminum and sodium hydroxyls. Conversely, silicate is not sensitive to water and exhibits hydrophobic behavior. In addition, our results show that there is an optimal value of water content (7.17 wt.%) that makes the geopolymer nanostructure strengthen. The related elastic modulus rises by 21.56%, 20.60%, and 18.41% for Si/Al ratio of 1, 2, and 3, respectively. Inserting carbon nanofillers to fly ash nanostructure has remarkably shown an interesting strength enhancement. More precisely, when interfacial bonding concentration is around 19.36%, it is observed a positively increasing of the compressive strength, shear, indentation and elastic modulus with 39%, 65.2%, 72.3%, and 144.85%, respectively. Reduced density gradient supports that the interaction between carbon nanotube and fly ash geopolymer is dominated by a van der Waals one.