bluuebunny/crossref_metadata_2025_split huggingface dataset:
Agmatine ligand functionalized magnetic alginate beads for removal of U(VI) ions from solution
Authors: Bayramoglu Gulay , Arica Mehmet Yakup 
Published: May 2024

AbstractIn the presented work, magnetic alginate (MA) beads were prepared and activated with epichlorohydrin and then functionalized with agmatine ligands (MA-A). The materials were analyzed by FTIR, SEM, XRD, and BET methods. The adsorption capacity of the MA-A for U(VI) was 451.4 mg/g. The Langmuir isotherm model well described the experimental data for the adsorption of U(VI) ions. The second-order kinetic model data proposed that the adsorption of U(VI) ions preferred the chemisorption mechanism. The adsorption enthalpy of the MA-A beads for U(VI) ions was 35.4 kJ/mol. After seven cycles of use, the adsorption capacity of MA-A beads was not significantly changed for U(VI) ions. Finally, the functionalization of MA beads with agmatine ligand can be a good candidate for applications for environmental technologies to remove metal ions.
Workshop report - interdisciplinary metabolomic epidemiology: the pathway to clinical translation
Authors: Zanetti Krista A. , Guo Lining , Husain Deeba , Kelly Rachel S. , Lasky-Su Jessica , Broadhurst David , Wheelock Craig E. 
Published: May 2024

AbstractMetabolomic epidemiology studies are complex and require a broad array of domain expertise. Although many metabolite-phenotype associations have been identified; to date, few findings have been translated to the clinic. Bridging this gap requires understanding of both the underlying biology of these associations and their potential clinical implications, necessitating an interdisciplinary team approach. To address this need in metabolomic epidemiology, a workshop was held at Metabolomics 2023 in Niagara Falls, Ontario, Canada that highlighted the domain expertise needed to effectively conduct these studies -- biochemistry, clinical science, epidemiology, and assay development for biomarker validation -- and emphasized the role of interdisciplinary teams to move findings towards clinical translation.
NMR and LC–MS-based metabolomics to investigate the efficacy of a commercial bio stimulant for the treatment of wheat (Triticum aestivum)
Authors: Hamade Kamar , Fliniaux Ophelie , Fontaine Jean-Xavier , Molinié Roland , Petit Laurent , Mathiron David , Sarazin Vivien , Mesnard Francois 
Published: May 2024

Abstract
Introduction
Bio stimulants are substances and/or microorganisms that are used to improve plant growth and crop yields by modulating physiological processes and metabolism of plants. While research has primarily focused on the broad effects of bio stimulants in crops, understanding their cellular and molecular influences in plants, using metabolomic analysis, could elucidate their effectiveness and offer possibilities for fine-tuning their application. One such bio stimulant containing galacturonic acid as elicitor is used in agriculture to improve wheat vigor and strengthen resistance to lodging.

Objective
However, whether a metabolic response is evolved by plants treated with this bio stimulant and the manner in which the latter might regulate plant metabolism have not been studied.

Method
Therefore, the present study used 1H-NMR and LC–MS to assess changes in primary and secondary metabolites in the roots, stems, and leaves of wheat (Triticum aestivum) treated with the bio stimulant. Orthogonal partial least squares discriminant analysis effectively distinguished between treated and control samples, confirming a metabolic response to treatment in the roots, stems, and leaves of wheat.

Results
Fold-change analysis indicated that treatment with the bio stimulation solution appeared to increase the levels of hydroxycinnamic acid amides, lignin, and flavonoid metabolism in different plant parts, potentially promoting root growth, implantation, and developmental cell wall maturation and lignification.

Conclusion
These results demonstrate how non-targeted metabolomic approaches can be utilized to investigate and monitor the effects of new agroecological solutions based on systemic responses.
Environmental fate and safety analysis of methoxyfenozide application to control litchi and longan pests
Authors: Liu Yanping , Wang Xiaonan , Wang Siwei 
Published: May 2024

AbstractLitchi and longan pests significantly affect crop yield and quality. Chemical prevention and control are very effective for production; therefore, it is crucial to study fate assessment and appropriate field efficacy before pesticide application on crops to appropriately assess the health and ecological risks linked with these agents. This study conducted Good Agricultural Practice (GAP) field trials and laboratory experiments to elucidate the dissipation, terminal residues, and efficacy of methoxyfenozide on litchi and longan in six locations throughout China. To detect methoxyfenozide residues on litchi and longan, a QuEChERS/UPLC-MS/MS-based method was designed. The initial methoxyfenozide levels in litchi and longan ranged from 2.21–2.86 to 0.83–0.95 mg kg−1 and indicated half-lives of 5.1–5.3 and 5.3–5.7 days, respectively. After 7 days of foliage treatment, the concentrations of terminal methoxyfenozide residue were 0.78–2.61 and 0.02–1.01 mg kg−1, which were less than the established maximum residue limit for methoxyfenozide in litchi and longan. The chronic (acceptable daily intake = 0.0055–0.0331%) dietary intake risk analysis for methoxyfenozide in longan and litchi indicated acceptable concentrations of terminal residue for the general population. Methoxyfenozide in litchi and longan was readily degraded in first-order kinetics models, the degradation rate on longan was higher than that on litchi, and their dietary risks were negligible to consumers. Two hundred forty grams per liter of methoxyfenozide suspension concentrate (SC) represents a highly efficacious insecticidal dose to control litchi and longan pests and indicates a significant application potential as it is rapidly degraded and linked with reduced post-treatment residue levels.
Need for formalized robotic training and curriculum in obstetrics and gynecology residency: an examination of current resident outlooks and perspectives
Authors: Adkoli Anusha , Eng Samanatha , Stephenson Ruth 
Published: May 2024

AbstractThe objectives of this study were to evaluate current robotic surgery training methodologies for ACGME-accredited obstetrics and gynecology (OB/GYN) residency programs, better understand current resident perspectives, and explore potential areas for improvement within resident education. A cross-sectional study was done of ACGME-accredited OB/GYN residents in the 2023–2024 academic year. The study was done on a national setting via web-based survey. 75 surveys were included. The study was conducted via a 33-question survey study using a mixture of multiple choice, multiple answer, and Likert scale questions. Participants noted that 98.7% of their institutions perform robotic surgery and 90.7% have access to robotic console trainers. Outside of the operating room, slightly more than half of participants (57.3%) have formalized robotics training curriculums. A variety of training modalities were noted to be utilized by residents with the most helpful being hands-on training (67.7%) followed by dual-assist console (45.6%). The least helpful was noted to be online modules (58.7%). Most residents either strongly agree (45.3%) or agree (36.0%) that standardized robotics curriculums should be implemented for all OB/GYN residency programs. The largest barriers to completion of this training were noted to be attending comfort with resident participation in the case (74.0%), personal time (58.9%), and availability or access to trainers (42.5%). A formalized and standardized robotic training curriculum should be considered for OB/GYN residents with a multi-modal model utilizing a combination of training modalities as well as dedicated didactic hours.
Clark Measures on Polydiscs Associated to Product Functions and Multiplicative Embeddings
Authors: Jacobsson Nell P. 
Published: May 2024

AbstractWe study Clark measures on the unit polydisc, giving an overview of recent research and investigating the Clark measures of some new examples of multivariate inner functions. In particular, we study the relationship between Clark measures and multiplication; first by introducing compositions of inner functions and multiplicative embeddings, and then by studying products of one-variable inner functions.
Teaching of manual cataract extraction in ophthalmic surgical training programmes
Authors: McCreery Alexandra , O’Regan Amy , Horgan Noel 
Published: May 2024

Abstract
Background
Manual cataract extraction techniques such as extracapsular cataract extraction (ECCE) or manual small incision cataract (MSICS) surgery have been replaced by phacoemulsification cataract surgery. Surgical training opportunities for manual techniques of cataract extraction are limited in modern surgical training programmes.

Aims
This study evaluated the current trends of ECCE/MSICS training opportunities amongst trainees and trainers in the Irish Ophthalmic Surgical Training Program.

Methods
An electronic survey was distributed to all ophthalmic surgical trainees and consultants in the country. It addressed the experience and exposure to ECCE/MSICS.

Results
Nineteen of 33 (57%) trainees and 29 of 55 (55%) of consultants completed the survey. Twelve of 19 (63%) trainees viewed an ECCE procedure performed live. Twenty-seven of 29 (93%) consultants performed an ECCE procedure during their surgical career; 8 of 27 (30%) performed an ECCE within the last 1–3 years. Fourteen of 19 (74%) trainees stated they do not feel confident converting from phacoemulsification to ECCE independently. Sixteen of 19 (89%) trainees believe manual cataract extraction training should be included in their surgical training. Nineteen of 29 (65%) consultants believe training in manual cataract extraction should be part of the surgical training programme.

Conclusions
There is a paucity of manual cataract extraction being performed in Ireland, limiting live surgical training in this technique. This survey highlights the limited experience of trainees in this valuable skill that is occasionally required for a successful surgical outcome. The authors conclude that wet laboratory simulated training of manual cataract extraction will bridge this gap.
A retrospective analysis of the clinicopathological features and prognostic value of MAPK12 protein expression in diffuse large B-cell lymphoma
Authors: Liu Yue , Zhang Han , Zhao Shu , Zhang Yue 
Published: May 2024

Abstract
Purpose
Mitogen-activated protein kinase 12 (MAPK12), also known as p38γ, is a member of the p38 MAPK family and plays a crucial role in tumor occurrence and invasion. However, there is still uncertainty regarding MAPK12 involvement in diffuse large B-cell lymphoma (DLBCL).

Methods
Our study investigated the expression of MAPK12 mRNA in various types of cancer using bioinformatic analysis. Furthermore, we performed immunohistochemistry (IHC) to detect the expression of MAPK12 in patients with DLBCL and compared clinical indicators and survival rates.

Results
We found that the high expression rate of MAPK12 was 43.1% in DLBCL patients. Several clinical indicators, including IPI scores, Hans classifications, LDH levels, and Ki-67 expression were closely associated with MAPK12 expression. Survival analysis revealed that higher expression of MAPK12 was significantly correlated with shorter progression-free survival (PFS) and overall survival (OS) in DLBCL patients. In addition, both univariate and multivariate analyses revealed IPI score, MAPK12 expression, and rituximab use as the independent OS risk factors (P < 0.05). To explore the functional role of MAPK12 in DLBCL, weighted gene co-expression network analysis (WGCNA) and gene ontology (GO) were used to confirm the involvement of MAPK12 in the regulation of type II interferon production, positive regulation of lymphocyte proliferation, and other related biological processes.

Conclusion
DLBCL patients have poor prognoses when MAPK12 levels are high, which is expected to be a therapeutic target and prognostic factor.
Predicting the use of chatbot systems in education: a comparative approach using PLS-SEM and machine learning algorithms
Authors: Yildiz Durak Hatice , Onan Aytuğ 
Published: May 2024

AbstractAdopting innovations in educational practice is a challenging task. In order to promote the use of technological innovations, acceptance of the technology by potential users is a prerequisite. Indeed, understanding the various factors that influence technology acceptance is critical for technology acceptance research. The use and acceptance of chatbots in education as a technological innovation is a topic that needs to be investigated. Chatbots, which offer close to human interaction between the user and technology through text and voice, can provide significant benefits in educational environments. The UTAUT2 model (extending UTAUT), which is widely used to evaluate technology acceptance, can serve as a framework for evaluating the acceptance and use of chatbots. This study aims to predict factors influencing students' use of chatbots in education within the UTAUT2 framework. PLS-SEM and machine learning tested the model, involving 926 students. According to the findings of the study, behavioral intentions were influenced by various factors including performance expectations and attitudes. Facilitating conditions and intentions significantly impacted chatbot usage time. Moderator effects were observed with age, gender, and usage experience affecting behavioral intentions. Support vector machine and logistic regression showed high prediction accuracies for behavioral intentions and usage time, respectively. These results provide insights for chatbot designers to meet user needs in educational settings.
Recent Findings on the Effectiveness of Peer Support for Patients with Type 2 Diabetes
Authors: Werner James J. , Ufholz Kelsey , Yamajala Prashant 
Published: May 2024

Abstract
Purpose of Review
To review randomized controlled trials (RCTs) published from 2021–2023 that reported the effects of peer support interventions on outcomes in patients with type 2 diabetes (T2DM).

Recent Findings
Literature searches yielded 137 articles and nine RCTs were ultimately reviewed. The reviewed trials involved in-person support groups, peer coach/mentor support, cultural peer support by community health workers, peer support during shared medical appointments (SMAs) including virtual reality-based SMAs, telehealth-facilitated programs, and telephone peer support. Most interventions combined two or more peer support strategies.
Peer support was associated with significant decreases in HbA1c in 6 of the 9 reviewed studies. The largest statistically significant improvements in HbA1c were reported in a study of community health workers in Asia (-2.7% at 12 months) and a Canadian study in which trained volunteer peer coaches with T2DM met with participants once and subsequently made weekly or biweekly phone calls to them (-1.35% at 12 months). Systolic blood pressure was significantly improved in 3 of 9 studies.

Summary
The findings suggest that peer support can be beneficial to glycemic control and blood pressure in T2DM patients. Studies of peer support embedded within SMAs resulted in significant reductions in HbA1c and suggest that linkages between healthcare systems, providers, and peer support programs may enhance T2DM outcomes.
Triboelectric power generation performance of polyvinyl alcohol using ZnO–CuO–AgO trimetallic nanoparticles
Authors: Yempally Swathi , Bonthula Sumalatha , Ponnamma Deepalekshmi 
Published: May 2024

AbstractTriboelectric nanogenerators (TENGs), a new technology for gathering sustainable energy, have attracted much scientific interest. In this study, we describe a unique method for modifying the triboelectric power generation performance of Polyvinyl Alcohol (PVA) by adding ZnO–CuO–AgO (ZCA) trimetallic nanoparticles to improve the performance of TENGs and answer the requirement for ecologically benign and biodegradable materials. Hydrothermal synthesis adopted to create ZnO–CuO–AgO trimetallic nanoparticles ensures a distinctive structure with a large surface area, essential for enhancing triboelectric power generation. From the AFM results, it is evident that 1% PVA/ZCA showed the highest output voltage of 0.27V. Despite following the general trend, at higher concentrations of ZCA nanofiller in the PVA matrix, the enhancement of output voltage is not observed, which can be attributed to the non-uniform distribution. The effect of spin-coated film thickness and nanoparticle concentration on the triboelectric performance of the PVA nanogenerator is studied by monitoring the open-circuit voltage in response to various mechanical stimuli. Finally, the developed biodegradable nanogenerators in this study can be used for sustainable energy harvesting applications such as wearable electronics, self-powered sensors, and environmental monitoring systems.
Thermally Conductive and UV-EMI Shielding Electronic Textiles for Unrestricted and Multifaceted Health Monitoring
Authors: Peng Yidong , Dong Jiancheng , Long Jiayan , Zhang Yuxi , Tang Xinwei , Lin Xi , Liu Haoran , Liu Tuoqi , Fan Wei , Liu Tianxi , Huang Yunpeng 
Published: May 2024

AbstractSkin-attachable electronics have garnered considerable research attention in health monitoring and artificial intelligence domains, whereas susceptibility to electromagnetic interference (EMI), heat accumulation issues, and ultraviolet (UV)-induced aging problems pose significant constraints on their potential applications. Here, an ultra-elastic, highly breathable, and thermal-comfortable epidermal sensor with exceptional UV-EMI shielding performance and remarkable thermal conductivity is developed for high-fidelity monitoring of multiple human electrophysiological signals. Via filling the elastomeric microfibers with thermally conductive boron nitride nanoparticles and bridging the insulating fiber interfaces by plating Ag nanoparticles (NPs), an interwoven thermal conducting fiber network (0.72 W m−1 K−1) is constructed benefiting from the seamless thermal interfaces, facilitating unimpeded heat dissipation for comfort skin wearing. More excitingly, the elastomeric fiber substrates simultaneously achieve outstanding UV protection (UPF = 143.1) and EMI shielding (SET > 65, X-band) capabilities owing to the high electrical conductivity and surface plasmon resonance of Ag NPs. Furthermore, an electronic textile prepared by printing liquid metal on the UV-EMI shielding and thermally conductive nonwoven textile is finally utilized as an advanced epidermal sensor, which succeeds in monitoring different electrophysiological signals under vigorous electromagnetic interference. This research paves the way for developing protective and environmentally adaptive epidermal electronics for next-generation health regulation.
Design and implementation of a machine log for PBF-LB/M on basis of IoT communication architectures and an ETL pipeline
Authors: Poka Konstantin , Ali Sozol , Saeed Waleed , Merz Benjamin , Epperlein Martin , Hilgenberg Kai 
Published: May 2024

AbstractPowder Bed Fusion with Laser Beam of Metals (PBF-LB/M) has gained more industrial relevance and already demonstrated applications at a small series scale. However, its widespread adoption in various use cases faces challenges due to the absence of interfaces to established Manufacturing Execution Systems (MES) that support customers in the predominantly data-driven quality assurance. Current state-of-the-art PBF-LB/M machines utilize communication architectures, such as OPC Unified Architecture (OPC UA), Message Queuing Telemetry Transport (MQTT) and Representational State Transfer Application Programming Interface (REST API). In the context of the Reference Architecture Model Industry 4.0 (RAMI 4.0) and the Internet of Things (IoT), the assets, particularly the physical PBF-LB/M machines, already have an integration layer implemented to communicate data such as process states or sensor values. Missing is an MES component acting as a communication and information layer. To address this gap, the proposed Extract Transform Load (ETL) pipeline aims to extract relevant data from the fabrication of each build cycle down to the level of scan vectors and additionally to register process signals. The suggested data schema for archiving each build cycle adheres to all terms defined by ISO/TC 261—Additive Manufacturing (AM). In relation to the measurement frequency, all data are reorganized into entities, such as the AM machine, build cycle, part, layer, and scan vector. These scan vectors are stored in a runtime-independent format, including all metadata, to be valid and traceable. The resulting machine log represents a comprehensive documentation of each build cycle, enabling data-driven quality assurance at process level.
Fatigue behavior of 4D printed materials: a review
Authors: Hossain Md Jarir 
Published: May 2024

Abstract4D printing presents a new direction in additive manufacturing through the incorporation of the time dimension into objects, thereby empowering them to modify their shape, properties, or functioning in stimulus to external influences. It is critical to investigate the fatigue behavior of these materials to comprehend their durability and reliability in the context of repeated stress or environmental changes. However, there has been limited effort to study this phenomenon. The purpose of this literature review is to consolidate the current understanding of the fatigue properties of 4D printed materials and identify areas where research is lacking. The impact of this work is to establish a foundation through a literature review for advancements in material science and manufacturing research that can improve the understanding of the fatigue behavior of 4D printed materials.
Bioactive coatings on biopolymer materials: evaluation of mechanical, physical, thermal, and in vitro properties
Authors: Öksüz Kerim Emre 
Published: May 2024

AbstractThe aim of this study was to develop and characterize coatings of bioglass nanoparticles (BGNs) on biopolymer (poly [glycolide-co-L-lactide], (PGLA)) surgical sutures, and to investigate the effects of these coatings on the performance of the sutures as they slid through a skin substitute. Melt-derived BGNs were used to coat resorbable PGLA biopolymers, providing them with bioactivity, biocompatibility, and improved physical and mechanical properties. The structural, thermal, and physical properties of the coated and uncoated biopolymers were analyzed using Differential Scanning Calorimetry (DSC), Fourier Transform Infrared Spectroscopy (FTIR), Field Emission Scanning Electron Microscopy (FE-SEM) and Energy-Dispersive X-ray Spectroscopy (EDXS). The dissolution profiles and bioactivity of the BGNs-coated PGLA biopolymers were assessed through Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES). Tensile strength tests were conducted on the biopolymers before and after immersion in simulated body fluid to evaluate the impact of the BGNs coating on the degradation of PGLA biopolymers. Incorporating BGNs into PGLA resulted in improved tensile strength properties. The study also found that increasing the BGNs ions content facilitated the formation of a hydroxycarbonate apatite (HCA) layer in Dulbecco’s Modified Eagle Medium and medium with L-glutamine and sodium bicarbonate solutions. In vitro bioactivity tests demonstrated that the coated suture biopolymers exhibited enhanced attachment, migration, and proliferation of fibroblasts, indicating favorable biocompatibility of the biomaterial for clinical applications.