bluuebunny/crossref_metadata_2025_split huggingface dataset:
Iodine Stabilization in Perovskite Lattice for Internal Stress Relief
Authors: Tang Yizhe , Zong Huiyi , Huang Jin , Yang Husheng , Wang Kai , (Frank) Liu Shengzhong , Yang Dong 
Published: January 2025

AbstractAtomic iodine ionization in perovskite crystals leads to defect formation, lattice distortion, and the occurrence of localized micro‐strain. These atomic‐level chemical and mechanical effects significantly alter the electronic band landscape, profoundly affecting device performance. While iodine stabilization effects have traditionally been focused on stability, their impact on electrical properties, particularly the coupling effect with internal stress and lattice strain, remains underexplored. In this study, an iodine stabilization protocol using a parallel‐π‐stacked small molecule, [2,2]‐paracyclophane (PCP) is implemented, which plays a beneficial role in relieving internal stress within the perovskite lattice, thereby improving the film's electrical properties. By leveraging this iodine stabilization strategy, internal stress in the perovskite film, resulting in a strain‐free perovskite film and a corresponding device with an improved efficiency of 25.26% from 23.93% is successfully alleviated. The maximum power point tracking test of the perovskite device keeps 85% of its initial efficiency when illuminated under 1 sun for 1000 h, while the control device only maintains 57% of the initial efficiency under the same conditions. The good stability originates from the stable iodide ions in the perovskite lattice due to preventing iodide ions oxidation and perovskite degradation.
Rational design of deep eutectic solvents with low viscosities and multiple active sites for efficient recognition and selective capture of NH3
Authors: Zheng Lu , Ju Saisai , Fang Siqi , Zhang Hongwei , Cai Zhenping , Huang Kuan , Jiang Lilong 
Published: January 2025

AbstractEfficient recognition and selective capture of NH3 is not only beneficial for increasing the productivity of the synthetic NH3 industry but also for reducing air pollution. For this purpose, a group of deep eutectic solvents (DESs) consisting of glycolic acid (GA) and phenol (PhOH) with low viscosities and multiple active sites was rationally designed in this work. Experimental results show that the GA + PhOH DESs display extremely fast NH3 absorption rates (within 51 s for equilibrium) and high NH3 solubility. At 313.2 K, the NH3 absorption capacities of GA + PhOH (1:1) reach 6.75 mol/kg (at 10.7 kPa) and 14.72 mol/kg (at 201.0 kPa). The NH3 solubility of GA + PhOH DESs at low pressures were minimally changed after more than 100 days of air exposure. In addition, the NH3 solubility of GA + PhOH DESs remain highly stable in 10 consecutive absorption‐desorption cycles. More importantly, NH3 can be selectively captured by GA + PhOH DESs from NH3/CO2/N2 and NH3/N2/H2 mixtures. 1H‐NMR, Fourier transform infrared and theoretical calculations were performed to reveal the intrinsic mechanism for the efficient recognition of NH3 by GA + PhOH DESs.
A β‐galactosidase activated near‐infrared fluorescent probe for tracking cellular senescence in vitro and in vivo
Authors: Su Tian , Shen Ruijun , Tu Dengchu , Han Xiaoyue , Luo Xianzhu , Yu Fabiao 
Published: January 2025

AbstractCellular senescence is a steady state of cell cycle arrest necessary to maintain homeostasis in organisms. However, senescent cells may cause senescence in neighboring healthy cells, inducing the onset of several diseases, such as inflammation, neurological disorders, and atherosclerosis. Therefore, early detection of cellular senescence is extremely important. β‐Galactosidase (β‐gal), as a critical marker of cellular senescence, can be monitored to facilitate early diagnosis of aging‐related diseases. Furthermore, β‐gal is mainly found in lysosomes, which have a pH value of about 4.5–5.5. Here, we developed a near‐infrared fluorescent probe (QMOH‐Gal) for tracking cell senescence in vitro and in vivo via the detection of β‐gal. In addition, the probe displayed high sensitivity and specificity for β‐gal with good fluorescence signal in the acidity range. Subsequently, this QMOH‐Gal probe was successfully employed to differentiate between normal cells and senescent cells by monitoring β‐gal. Furthermore, the probe not only realized the monitoring of β‐gal in zebrafish but also the tracking of β‐gal in palbociclib‐induced breast tumor senescence. Overall, the probe shows great promise as an effective tool for imaging β‐gal in vivo for studying the biology of aging in organisms.
Effects of ostrich oil on knee osteoarthritis symptoms: A randomized double‐blinded placebo‐controlled clinical trial
Authors: Ebrahimi Chaharom Aliasghar , Ebrahimi Chaharom Faegheh , Habibi Asl Bohloul , Ghojazadeh Morteza 
Published: January 2025

AbstractPurposeOsteoarthritis (OA) is a common joint disease that progressively impairs joint function and mobility, especially in the elderly population. While traditional medicine has long cited the therapeutic properties of ostrich oil, scientific evidence supporting its efficacy in treating OA is limited. This study aims to evaluate the effects of ostrich oil on knee OA symptoms in a controlled clinical setting.MethodsIn a double‐blind randomized clinical trial, we studied the efficacy of adjuvant therapy using ostrich oil to improve knee osteoarthritis symptoms. Ninety patients were randomly allocated to an intervention group and a control group. Both groups received 2 mL of ostrich oil or placebo twice daily per knee for two months. The effectiveness of adjuvant therapy was evaluated by measuring improvements in knee osteoarthritis symptoms. Statistical significance was set at p ≤ 0.05.ResultsThe intervention group showed significantly lower knee joint pain scores compared to the control group for both right (1.33 ± 0.59 vs 2.30 ± 0.92, p = 0.001; baseline: 2.83 ± 0.76 vs 2.85 ± 0.94) and left knees (1.31 ± 0.60 vs 2.22 ± 0.83, p = 0.001; baseline: 2.75 ± 0.84 vs 2.81 ± 0.71). Similarly, knee joint stiffness was significantly reduced in the intervention group compared to the control group for both right (1.56 ± 0.74 vs 1.79 ± 0.78, p = 0.035; baseline: 2.18 ± 0.88 vs 2.21 ± 0.91) and left knees (1.45 ± 0.53 vs 1.70 ± 0.69, p = 0.021; baseline: 2.05 ± 0.79 vs 2.12 ± 0.75). The 6‐m walking time improved in both groups, with no significant difference between groups after two months (10.95 ± 3.28 s vs 12.30 ± 3.13 s, p = 0.76; baseline: 16.10 ± 6.24 s vs 15.45 ± 2.28 s).ConclusionSymptoms of osteoarthritis, such as stiffness and pain in both knees, significantly reduced with ostrich oil treatment. However, in some criteria, no significant differences were observed between the treatment and control groups.
Identification of leaf rust resistance loci in hard winter wheat using genome‐wide association mapping
Authors: Lakkakula Indira Priyadarshini , Kolmer James A. , Sharma Rajat , St. Amand Paul , Bernardo Amy , Bai Guihua , Ibrahim Amir , Bowden Robert L. , Carver Brett F. , Boehm Jeffrey D. , Aoun Meriem 
Published: January 2025

AbstractLeaf rust, caused by Puccinia triticina (Pt), is a serious constraint to wheat production. Developing resistant varieties is the best approach to managing this disease. Wheat leaf rust resistance (Lr) genes have been classified into either all‐stage resistance (ASR) or adult‐plant resistance (APR). The objectives of this study were to identify sources of leaf rust resistance in contemporary US hard winter wheat (HWW) and to dissect the genetic basis underlying leaf rust resistance in HWW. A panel of 732 elite HWW genotypes was evaluated for response to US Pt races at the seedling stage and at the adult plant stage in leaf rust nurseries in Oklahoma, Texas, and Kansas. Further, the panel was genotyped using multiplex restriction amplicon sequencing (MRA‐Seq) and DNA markers linked to the known ASR genes Lr18, Lr19, Lr21, Lr24, Lr37, and Lr42 and APR genes Lr34, Lr46, Lr67, Lr68, Lr77, and Lr78. Single nucleotide polymorphism (SNP) markers derived from MRA‐Seq, DNA markers linked to the known Lr genes, and the phenotypic data were used for genome‐wide association study (GWAS) to identify markers associated with leaf rust response. Gene postulation based on leaf rust reactions, DNA markers, and GWAS suggested the presence of Lr1, Lr2a, Lr10, Lr14a, Lr16, Lr18, Lr19, Lr21, Lr24, Lr26, Lr34, Lr37, Lr39, Lr42, Lr46, Lr68, Lr77, and Lr78 in the HWW panel. The GWAS identified 59 SNPs significantly associated with leaf rust response, of which 20 were likely associated with novel resistance loci and can be used to enhance wheat leaf rust resistance.
Efficiency of Land Degradation Neutrality Assessment Indicators of United Nation to Identify Land Degradation in a Semi‐Arid Environment
Authors: Kılıç Miraç , Günal Hikmet 
Published: January 2025

ABSTRACTThe primary objective of this study was to contribute to a deeper understanding of land degradation neutrality (LDN), with a specific focus on Malatya province, located in the semi‐arid region of eastern Türkiye. This case study served as a foundation for establishing a framework to monitor land degradation over time. The research employed three key sub‐indicators—land cover (LC), land productivity (LP), and carbon stocks—following the guidelines of SDG 15.3.1. To assess changes in these sub‐indicators, the SDG 15.3.1 indicator was calculated using 2015 as the baseline year and the preceding period (2000–2015) for comparison. The results indicated that approximately 3.24% of the study area experienced land degradation, primarily attributed to a decline in LP. Of this degradation, about 89.15% was linked to LP loss, while LC (5.91%) and soil organic carbon (SOC) (4.94%) contributed smaller proportions. The study also identified regional variations in land degradation, with intensified degradation occurring in areas undergoing rapid urbanization.
Eco‐friendly mechanochemical synthesis of hybrid phosphide flame retardants for enhanced fire safety in epoxy resins
Authors: Deng Shengxiang , Wu Banglin , He Haiyang , Zhong Sheng , Deng Kaiwen , Feng Xiaming , Yang Hongyu , Wan Chaojun , Yan Cheng 
Published: January 2025

AbstractTraditional synthesis methods for metal phosphides are often inefficient and not environmentally friendly due to complex procedures. Here, we propose an eco‐friendly and efficient mechanochemical method for phosphide flame retardant synthesis through high‐energy ball milling. Specifically, solid red phosphorus and Ti₃AlC₂ were directly reacted in the milling jar, producing a hybrid flame retardant with TiP and AlP as the main active components (TiP/AlP@C). It demonstrates that the TiP/AlP@C exhibited excellent performances, reducing the maximum thermal decomposition rate of epoxy resin by 35.3%, the maximum carbon monoxide release rate by 29.3%, and the maximum smoke release rate by 11.3%. These findings suggest that the synthesized TiP/AlP@C primarily exerts its flame‐retardant effect by catalyzing the formation of a protective char layer, which acts as a barrier during combustion. This study confirms the effectiveness and scientific validity of the innovative mechanochemical synthesis method for advanced flame retardants.Highlights
Hybrid phosphide flame retardants were prepared by high energy ball milling.
The milling speed and time are crucial for the mechanochemical reaction.
Hybrid phosphide additive is efficient in reducing fire hazard of epoxy resin.
A synergistic charring effect from hybrid metal phosphides is proposed.
From Perception to Prediction and Interpretation: Enlightening the Gray Zone of Molecular Bricks of Life With the Help of Machine Learning and Quantum Chemistry
Authors: Barone Vincenzo 
Published: January 2025

ABSTRACTThe latest developments of a general exploration/exploitation strategy for the computational study of molecular bricks of life in the gas‐phase are presented and illustrated by means of prototypical semi‐rigid and flexible systems. In the first step, generalized natural internal coordinates are employed to obtain a clear‐cut separation between different degrees of freedom, and machine‐learning algorithms based on chemical descriptors (synthons) drive fast quantum chemical methods in the exploration of rugged potential energy surfaces ruled by soft degrees of freedom. Then, different quantum chemical models are carefully selected for exploiting energies, geometries, and vibrational frequencies with the aim of maximizing the accuracy of the overall description while retaining a reasonable cost for all the steps. In particular, a composite wave‐function method is used for energies, whereas a double‐hybrid functional is employed for geometries and harmonic frequencies and a cheaper global hybrid functional for anharmonic contributions. A panel of molecular bricks of life containing up to 50 atoms is employed to show that the proposed strategy draws closer to the accuracy of state‐of‐the‐art composite wave‐function methods for small semi‐rigid molecules, but is applicable to much larger systems. The implementation of the whole computational workflow in terms of preprocessing and postprocessing of data provided by standard electronic structure codes paves the way toward the accurate yet not prohibitively expensive study of medium‐ to large‐sized molecules by a user‐friendly black‐box tool exploitable also by experiment‐oriented researchers.
Transcription Kinetics in the Coronavirus Life Cycle
Authors: Grelewska‐Nowotko Katarzyna , Elhag Ahmed Eisa , Turowski Tomasz Wojciech 
Published: January 2025

ABSTRACTCoronaviruses utilize a positive‐sense single‐strand RNA, functioning simultaneously as mRNA and the genome. An RNA‐dependent RNA polymerase (RdRP) plays a dual role in transcribing genes and replicating the genome, making RdRP a critical target in therapies against coronaviruses. This review explores recent advancements in understanding the coronavirus transcription machinery, discusses it within virus infection context, and incorporates kinetic considerations on RdRP activity. We also address steric limitations in coronavirus replication, particularly during early infection phases, and outline hypothesis regarding translation–transcription conflicts, postulating the existence of mechanisms that resolve these issues. In cells infected by coronaviruses, abundant structural proteins are synthesized from subgenomic RNA fragments (sgRNAs) produced via discontinuous transcription. During elongation, RdRP can skip large sections of the viral genome, resulting in the creation of shorter sgRNAs that reflects the stoichiometry of viral structural proteins. Although the precise mechanism of discontinuous transcription remains unknown, we discuss recent hypotheses involving long‐distance RNA–RNA interactions, helicase‐mediated RdRP backtracking, dissociation and reassociation of RdRP, and RdRP dimerization.
Concept of an Integrated Information and Education Platform for Sustainable Development
Authors: Nowak-Meitinger Anna M. , Arute Mrunali K. , Upadhyay Devarsh P. , Jochem Roland 
Published: January 2025

AbstractTo meet the growing demand for sustainable products, companies are increasingly striving to manufacture products aligned with the United Nations’ (UN) 17 Sustainable Development Goals (SDGs). To communicate this sustainability to customers, companies often use sustainability seals to ensure that the environmental, social and economic impacts during production meet certain criteria. However, the increasing number of these seals awarded by independent organizations often creates confusion rather than clarity due to the lack of transparent criteria and award procedures. Consequently, these seals overlap the usefulness which creates an ambiguity in the consumer's mind while making a purchase. This paper introduces the concept of an information platform, which provides consumers with information about product sustainability, considering the entire product lifecycle (PLC). It aims to collect and evaluate data from different product groups to enable consumers to make purchasing decisions based on their criteria and values. Research was conducted to assess consumers’ access to consolidated information on sustainable product development and manufacturing. The identified gap led to the presentation of the multi-level model of the digital platform. The concept benefits consumers, companies and society by facilitating information and education about sustainability aspects distinguishing companies from the competition in the production of consumer-oriented and sustainable products.
Technology Radar for a Sustainable Biological Transformation in the Manufacturing Industry
Authors: Mügge Janine , Berkhahn Magda , Knauf Tobias , Stark Rainer , Faßbender Lynn , Lange Annika , Riedelsheimer Theresa , Lindow Kai 
Published: January 2025

AbstractBio-inspired, bio-integrated, bio-intelligent product and production systems are new research approaches aimed at achieving sustainability in manufacturing. For the industrial application of new technological solutions, it is crucial to convey their added value from not only an economic but also an environmental perspective. The evaluation of their technological readiness plays an important role in implementation. This paper presents a technology radar developed and evaluated within German research project BioFusion 4.0 involving 13 industry and research partners. The paper outlines the development approach and its application by means of three technological examples. The technologies are categorized and assessed using four significant attributes of an effective biological transformation: (1) the mode of action (bio-inspiration, bio-integration, and bio-interaction); (2) the transformative character and (3), the Technology—and (4) Sustainability Readiness Level. The technology radar comprises a step-by-step procedure to assess a technology by each criterion to enable different stakeholders, such as production planners or product developers to evaluate and identify suitable technologies according to their needs and business strategy. The application of the technology radar is demonstrated on the exemplary technologies of a digital twin with integrated life-cycle assessment, situation awareness monitor for networked production systems and bio-based 3D printing.
Collaborative Development of Design Requirements for Designing Assistive Technology Devices for Early Infancy Children
Authors: Braatz Daniel , Luvizoto Renato , Fontes Andrea , Santos Mariana , Lizarelli Fabiane , Lourenço Gerusa , Agnelli Luciana , Martinez Rodrigo 
Published: January 2025

AbstractThis article presents the development of product requirements in the context of an assistive technology innovation project. It is emphasized that assistive technology plays a fundamental role in the development of sustainable products and environments, as it enables the inclusion and autonomy of people with disabilities, ensuring that all solutions are accessible and efficient. The initial stages of new product development are considered critical due to the need to define requirements that will guide the design process. The challenge in formulating these requirements lies in the contradiction between determining which criteria and factors should accompany the project at a stage where the understanding of the object and the problem is still limited. The methodological approach is primarily based on a descriptive method of the design process leading to the definition of requirements. The results are mainly divided into four topics: project description, description of the stakeholders and actors involved in the project, description of the process of defining design requirements, and finally, the presentation of the requirements developed in the project context. These results can contribute to two main ways: by sharing the defined requirements and by presenting a process of collective construction of design requirements.
Environmental Impact Assessment of Manufacturing of SiC/SiC Composites
Authors: Karadimas Georgios , Yuksek Yagmur Atescan , Salonitis Konstantinos 
Published: January 2025

AbstractSiC/SiC composites have attracted increasing attention in various applications such as turbine blades, exhaust nozzles, and combustor chambers, due to their exceptional mechanical and thermal properties. However, the environmental impact of these composites across their life cycle is an important aspect that needs to be evaluated to support their responsible development and use. In this study, a life cycle assessment of SiC/SiC woven laminate ceramic matrix composites to quantify their environmental impacts from cradle-to-gate was conducted. Three different manufacturing methods to produce SiC/SiC woven laminates were researched: chemical vapour infiltration (CVI), pyrolysis of a preceramic polymer (PIP), and melt infiltration (MI). The Life Cycle Assessment approach was utilized to identify the effect outcomes for each process, analysing the raw material extraction, raw material processing, and final product manufacturing phases to develop the environmental impact assessment. The study's outcome showed that CVI had the lowest average environmental impact between the two methods.
Ecosystem Collaboration for Sustainability: Learnings from the Food System
Authors: Hsien Cadence , Evans Steve 
Published: January 2025

AbstractIndividual firm and ecosystem level efforts are required to meaningfully improve sustainability across the food system. While there has been extensive research on collaboration for sustainability in the food system, these studies focus on working along the supply chain. As the food system is complex with relations and effects spanning across supply chains and industries, another approach is for firms to look beyond their traditional supply chain to tackle sustainability at their ecosystem level. In this regard, there is a need to investigate how firms collaborate with partners to influence sustainability in their ecosystem. In this paper, we present findings of an exploratory study with interviews of 17 firms across the food system that work with partners in their ecosystem for sustainability. We found that informal collaboration among partners is common but occur differently at certain stages of innovation and development and happens even when sharing of benefits are not yet agreed upon. The findings suggest how individual firms can support ecosystem change and how they can work with partners to develop and propagate innovative sustainability solutions in the food system.
Development and Implementation of Reliability Centered Maintenance Framework in Large Organisations
Authors: Mhlungu Mesuli Percival , Daniyan Ilesanmi , Ramatsetse Boitumelo , Behrens Thembeka 
Published: January 2025

AbstractLarge organisations across the world constantly seek to ensure the optimal operation of their processes to remain competitive against their industry peers. This study seeks to help the organisation improve maintenance performance by developing a framework that can be adopted by the organisation in implementing Reliability Centered Maintenance (RCM). This study develops a model to help companies to adopt RCM and to do that, a company were selected to test the model. A questionnaire was sent to a selected population to gather the views of people regarding maintenance within the selected organisation. This is achieved by first investigating the current maintenance regime in Company Y via a survey. Historical data relating to maintenance were obtained and analysed to highlight problem areas. Plant documents relating to maintenance policies were sought for the understanding of the status quo. The results obtained indicate that from 2016 to 2021, the organisation did not meet the maintenance target of 95% and there are major maintenance issues, which have affected the equipment availability and organisation’s productivity. Thus, a guideline for the implementation of RCM was developed for use. The guideline will be useful for organisations in their quest to achieve RCM for optimal productivity.