bluuebunny/crossref_metadata_2025 huggingface dataset:
Affordable Small Molecules as Promising Fluorescent Labels for Biomolecules
Authors: Eustáquio Raquel , Ramalho João P. Prates , Arantes Sílvia , Candeias António , Caldeira Ana Teresa , Pereira António
Published: November 2024

Fluorescent labels, commonly used in highly sensitive analytical techniques for detecting and tracking biomolecules in critical fields like cellular biology, medicine, medicinal chemistry, and environmental science, are currently too expensive for routine use in standard applications, with most exhibiting small Stokes shifts. This limitation underscores the potential of 4-diethylaminobenzaldehyde derivatives as a cost-effective alternative for developing new, bright fluorophores with larger Stokes shifts. In this work, using 4-diethylaminobenzaldehyde as starting material, we developed a simple, cost-effective, and efficient synthetic strategy to produce new affordable small molecules as effective fluorescent labels for biomolecules. Density functional theory and time-dependent density functional theory calculations were also conducted to gain insights into the observed photophysical properties.
Research Progress on Solid-State Electrolytes in Solid-State Lithium Batteries: Classification, Ionic Conductive Mechanism, Interfacial Challenges
Authors: Ai Shun , Wu Xianli , Wang Jintao , Li Xu , Hao Xiaofeng , Meng Yuezhong
Published: November 2024

Solid-state lithium batteries exhibit high-energy density and exceptional safety performance, thereby enabling an extended driving range for electric vehicles in the future. Solid-state electrolytes (SSEs) are the key materials in solid-state batteries that guarantee the safety performance of the battery. This review assesses the research progress on solid-state electrolytes, including polymers, inorganic compounds (oxides, sulfides, halides), and organic–inorganic composites, the challenges related to solid-state batteries in terms of their interfaces, and the status of industrialization research on solid-state electrolytes. For each kind of solid-state electrolytes, details on the preparation, properties, composition, ionic conductivity, ionic migration mechanism, and structure–activity relationship, are collected. For the challenges faced by solid-state batteries, the high interfacial resistance, the side reactions between solid-state electrolytes and electrodes, and interface instability, are mainly discussed. The current industrialization research status of various solid electrolytes is analyzed in regard to relevant enterprises from different countries. Finally, the potential development directions and prospects of high-energy density solid-state batteries are discussed. This review provides a comprehensive reference for SSE researchers and paves the way for innovative advancements in regard to solid-state lithium batteries.
Development and Biological Characterization of Cancer Biomimetic Membrane Nanovesicles for Enhancing Therapy Efficacy in Human Glioblastoma Cells
Authors: Massarotti Martina , Corna Paola , Mallik Aromita , Milanesi Gloria , Casali Claudio , Magrassi Lorenzo , Comincini Sergio
Published: November 2024

As nanocarriers of a new generation, biomimetic nanovesicles are an emerging class of therapeutic tools whose surface is integrated or fabricated with biomaterials capable of mimicking the biological features and functions of native cells. Thanks to this, biomimetic nanovesicles, in particular, those made by plasma membrane moieties, possess greatly improved biocompatibility, high target specificity, a long retention time, and minimal undesired immune responses. For these reasons, a multitude of progenitor cells including cancer ones were employed as templates to generate biomimetic or membrane-camouflaged nanovesicles hosting different therapeutic compounds. In this contribution, different membrane-derived biomimetic vesicles (M-NVs) were generated by osmotic lysis or plasma membrane isolation approaches from normal and cancer cell lines and assayed against in vitro models of human glioblastoma. M-NVs were compared in their cellular internalization degrees of DNA and proteins, morphologically and molecularly characterized, expressing an extracellular membrane-associated marker. Then, Rose Bengal (RB), a photoactivable drug characterized by a relatively low cellular uptake, was incorporated into nascent glioblastoma-derived M-NVs and finally administered to homotypic receiving cells, showing an increased degree of internalization as well as induced cytotoxic effects, even in the absence of photodynamic direct stimulation. Similar results were also obtained assaying lyophilized M-NVs loaded with RB. In conclusion, M-NVs generated by cell membranes effectively deliver several cargoes, including therapeutic molecules, maintain functionality after lyophilization, and show significant internalization effects, making them a promising strategy for therapeutic applications against human glioblastoma cells.
Effects of Respiratory Training on Pulmonary Function, Cough, and Functional Independence in Patients with Amyotrophic Lateral Sclerosis
Authors: Magni Eleonora , Hochsprung Anja , Cáceres-Matos Rocío , Pabón-Carrasco Manuel , Heredia-Camacho Beatriz , Solís-Marcos Ignacio , Luque-Moreno Carlos
Published: November 2024

Background: Respiratory complications in patients with amyotrophic lateral sclerosis (ALS), due to the involvement of respiratory muscles, are the leading cause of death, and respiratory physiotherapy (RP) focuses on addressing these complications. Objectives: The objective was to evaluate the effectiveness of an RP intervention that combines the four specific techniques (inspiratory muscle training, lung volume recruitment, manually assisted coughing, and diaphragmatic breathing training) in patients with ALS. Methods: A quasi-experimental study was carried out, and a specific RP programme was implemented in 15 patients with ALS (12 sessions, 30 min/session, one session/week, duration of three months), based on directed ventilation techniques, lung volume recruitment, manually assisted coughing, and the use of incentive spirometry and a cough assist device, along with a daily home exercise programme. Respiratory functions were assessed (pre- and post-intervention, with follow-up at three months) using Forced Vital Capacity (FVC) and Peak Expiratory Cough Flow (PECF); functionality was assessed using the Revised ALS Functional Rating Scale (ALSFRS-R) and the Modified Barthel Index by Granger. Results: FVC experienced an increase after three months of the intervention initiation (p = 0.30), which was not sustained at the three-month follow-up after the intervention ended. All other variables remained practically constant after treatment, with their values decreasing at follow-up. Conclusion: A specific RP intervention could have beneficial effects on respiratory functions, potentially preventing pulmonary infections and hospitalisations in patients with ALS. It may improve FVC and help stabilize the patient's functional decline. Considering the progressive and degenerative nature of the disease, this finding could support the usefulness of these techniques in maintaining respiratory function.
The Efficacy of Nutritional Strategies and Ergogenic Aids on Acute Responses and Chronic Adaptations to Exertional-Heat Exposure: A Narrative Review
Authors: Dunn Ryan A. , Tinsley Grant M. , Palmer Ty B. , Benjamin Courteney L. , Sekiguchi Yasuki
Published: November 2024

Global warming is attributed to an increased frequency of high ambient temperatures and humidity, elevating the prevalence of high-temperature-related illness and death. Evidence over recent decades highlights that tailored nutritional strategies are essential to improve performance and optimise health during acute and chronic exertional-heat exposure. Therefore, the purpose of this review is to discuss the efficacy of various nutritional strategies and ergogenic aids on responses during and following acute and chronic exertional-heat exposure. An outline is provided surrounding the application of various nutritional practices (e.g., carbohydrate loading, fluid replacement strategies) and ergogenic aids (e.g., caffeine, creatine, nitrate, tyrosine) to improve physiological, cognitive, and recovery responses to acute exertional-heat exposure. Additionally, this review will evaluate if the magnitude and time course of chronic heat adaptations can be modified with tailored supplementation practices. This review highlights that there is robust evidence for the use of certain ergogenic aids and nutritional strategies to improve performance and health outcomes during exertional-heat exposure. However, equivocal findings across studies appear dependent on factors such as exercise testing modality, duration, and intensity; outcome measures in relation to the ergogenic aid’s proposed mechanism of action; and sex-specific responses. Collectively, this review provides evidence-based recommendations and highlights areas for future research that have the potential to assist with prescribing specific nutritional strategies and ergogenic aids in populations frequently exercising in the heat. Future research is required to establish dose-, sex-, and exercise-modality-specific responses to various nutritional practices and ergogenic aid use for acute and chronic exertional-heat exposure.
Efficacy and Safety of Weekly Calcifediol Formulations (75 and 100 µg) in Subjects with Vitamin D Deficiency: A Phase II/III Randomised Trial
Authors: Jódar-Gimeno Esteban , Pérez-Castrillón Jose Luis , Nociar Ján , Lojka Michal , Nikolov Dimitar , Cereto-Castro Fernando , Novković Snežana , Tarantino Umberto , Mehsen-Cetre Nadia , Arranz Paula , Ostalé Cristina Martínez , García-Bea Aintzane , Gilaberte Inmaculada
Published: November 2024

Background/Objective: Optimal vitamin D levels are required for bone health and proper functionality of the nervous, musculoskeletal and immune systems. The objective of this study was to assess the efficacy and safety profiles of new weekly calcifediol formulations with the potential to improve adherence and outcome. Methods: A Phase II-III, double-blind, randomized, multicentre trial (EudraCT 2020-001099-14 and NCT04735926). Subjects were randomized 2:2:1 to calcifediol 75 µg, 100 µg and placebo. 25(OH)D levels were measured at 4, 16, 24, 32 and 52 weeks. The main outcome was the percentage of subjects who achieved a response defined as 25(OH)D levels ≥20 ng/mL and/or ≥30 ng/mL at week 16. Results: 398 subjects (51.1 ± 15.96 years, 74.2% females, 98.7% Caucasian) with plasma 25(OH)D levels between 10 and 20 ng/mL were randomized. A total of 376 subjects completed 16 weeks of treatment, and 355 subjects completed the study. Six patients withdrew due to an adverse event, all unrelated to treatment. At week 16, 93.6% and 74.4% of subjects receiving calcifediol 75 µg achieved response levels of ≥20 ng/mL and ≥30 ng/mL, respectively. The calcifediol 100 µg group showed 98.7% and 89.9% of responders for ≥20 ng/mL and ≥30 ng/mL, respectively. Both calcifediol groups showed superiority over placebo at each response level at all time points analyzed (p < 0.0001). Calcifediol treatments increased 25(OH)D levels from baseline to week 24 and remained stable thereafter. The frequency of treatment-emergent adverse events was balanced between groups. Conclusions: New weekly calcifediol 75 and 100 µg formulations showed an effective and sustained response with a good long-term safety profile.
Perceptions of Long COVID Patients Regarding Health Assistance: Insights from a Qualitative Study in Spain
Authors: Moratalla-Cebrian Maria Leopolda , Marcilla-Toribio Irene , Berlanga-Macias Carlos , Perez-Moreno Ana , Garcia-Martinez Maria , Martinez-Andres Maria
Published: November 2024

Objective: This study investigates the perceptions of Long COVID patients in Spain regarding the healthcare they receive to identify demands and areas for improvement. Methods: Using a qualitative descriptive phenomenological approach, the study included 27 participants selected through non-probabilistic convenience sampling. Data were collected via online semi-structured interviews and analyzed using thematic analysis. Results: The findings reveal three key themes: (i) health status and challenges in healthcare during the initial COVID-19 infection; (ii) perceptions about healthcare as Long COVID patients; and (iii) demand for and aspects of improving quality of healthcare. The participants, predominantly women (66.67%) with a median age of 51 years, experienced symptoms that they generally perceived as severe, although only 14.81% required hospitalization. The participants reported initial self-management of symptoms at home, which was influenced by familial responsibilities and hospital overcrowding, and the persistence of a wide range of Long COVID symptoms that significantly impacted their daily lives. Satisfaction with healthcare services varied, with frustrations over systemic inefficiencies and long waiting times. Conclusions: The study highlights the need for timely access to medical care, comprehensive and empathetic healthcare services, and specialized Long COVID units. The results emphasize the importance of patient-centered approaches and multidisciplinary care to address the complex nature of Long COVID effectively. These findings provide crucial insights for improving healthcare protocols and systems to better support Long COVID patients. This study was prospectively registered with the Ethics Committee for Research on Medicines of the Albacete Integrated Health Care Management System (registry) on 22 February 2022 with registration number 2022/001.
Precision Medicine for Gastric Cancer: Current State of Organoid Drug Testing
Authors: Silva Tharindie N. , Wright Josephine A. , Worthley Daniel L. , Woods Susan L.
Published: November 2024

Gastric cancer (GC) presents a significant health challenge and ranks as the fifth most common cancer in the world. Unfortunately, most patients with GC exhaust standard care treatment options due to late diagnosis and tumour heterogeneity that leads to drug resistance, resulting in poor survival outcomes. Potentially, this situation can be improved by personalising treatment choice. Organoids are an emerging cell model system that recapitulates tumour heterogeneity and drug responses. Coupled with genomic analysis, organoid culture can be used to guide personalised medicine. The GC organoid field, however, lacks standardised methodologies for assessing organoid drug sensitivities. Comparing results across different GC organoid studies and correlating organoid drug responses with patient outcomes is challenging. Hence, we aim to summarise the methodologies used in GC organoid drug testing and correlation with clinical outcomes and discuss design considerations and limitations to enhance the robustness of such studies in the future.
Potential Role of the Eastern Mosquitofish (Gambusia holbrooki) in the Spread of the Harmful Fish Parasite, Asian Tapeworm Schyzocotyle (Bothriocephalus) acheilognathi
Authors: Lebedeva Daria I. , Petrovskiy Andrey B. , Reshetnikov Andrey N.
Published: November 2024

Biological control of undesirable organisms and pathogens often involves the introduction of alien species into new regions. However, alien species themselves pose a potential threat to local ecosystems and economies. The Eastern mosquitofish Gambusia holbrooki is recognised as a dangerous invasive species, but despite this, it is still used for biological control of mosquito larvae, a potential vector of malaria plasmodium transmission to humans, on the Black Sea coast of the Caucasus. We focused on the species composition of helminths in this fish species. We detected adult nematodes Pseudocapillaria (Pseudocapillaria) tomentosa and cestodes Schyzocotyle acheilognathi (formely Bothriocephalus acheilognathi). The above nematode was observed for the first time in fish of the genus Gambusia. Importantly, the cestode S. acheilognathi, which we found in G. holbrooki, is the most successful invasive alien parasite species in freshwaters of the planet and is extremely hazardous to natural ecosystems and aquaculture as it can cause mass mortality of young fish. Thus, the current practice of transferring mosquitofish between water bodies on the Black Sea coast of the Caucasus to control mosquito larvae may contribute to the undesirable spread of a harmful quarantine fish parasite.
Infections in Inborn Errors of STATs
Authors: Wang Chen , Freeman Alexandra F.
Published: November 2024

The Janus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway is highly conserved and essential for numerous biological functions triggered by extracellular signals, including cell proliferation, metabolism, immune response, and inflammation. Defects in STATs, either loss-of-function or gain-of-function defects, lead to a broad spectrum of clinical phenotypes in humans, including a wide range of infectious complications. The susceptibility to pathogens can stem from defects in immune cells within the hematopoietic compartment, impaired barrier functions of non-hematopoietic compartment, or a combination of both, depending on the specific STAT defect as well as the pathogen exposure history. Effective management involves antimicrobial prophylaxis tailored to the patient’s infection risk and improving disease control with targeted therapies and/or hematopoietic cell transplantation.
Emergence of Carbapenem-Resistant Uropathogenic Escherichia coli (ST405 and ST167) Strains Carrying blaCTX-M-15, blaNDM-5 and Diverse Virulence Factors in Hospitalized Patients
Authors: Mujahid Fatima , Rasool Muhammad Hidayat , Shafiq Muhammad , Aslam Bilal , Khurshid Mohsin
Published: November 2024

Background: Urinary tract infections (UTIs) are common infectious diseases in hospital settings, and they are frequently caused by uropathogenic Escherichia coli (UPEC). The emergence of carbapenem-resistant (Carb-R) E. coli strains poses a significant threat due to their multidrug resistance and virulence. This study aims to characterize the antimicrobial resistance and virulence profiles of Carb-R UPEC strains isolated from hospitalized patients. Methods: A total of 1100 urine samples were collected from patients in Lahore and Faisalabad, Pakistan, between May 2023 and April 2024. The samples were processed to isolate and identify E. coli using standard microbiological techniques and VITEK®2, followed by amplification of the uidA gene. Antimicrobial susceptibility was evaluated using the Kirby–Bauer disc diffusion method and broth microdilution. Resistance and virulence genes were detected through PCR and DNA sequencing, and sequence typing was performed using MLST. Results: Among the 118 Carb-R UPEC isolates, resistance was most frequently observed against sulfamethoxazole-trimethoprim (96.6%) and doxycycline (96.6%). All of the isolates remained sensitive to colistin and tigecycline. Sequence types ST405 (35.6%) and ST167 (21.2%) were predominant and carried the blaCTX-M-15 and blaNDM-5 genes. The distribution of virulence genes and a variety of antimicrobial resistance genes (ARGs), conferring resistance to aminoglycosides, fluoroquinolones, tetracyclines, and sulfonamides, were observed as specifically linked to certain sequence types. Conclusions: This study provides insights into the molecular epidemiology of carbapenem-resistant Uropathogenic E. coli (Carb-R UPEC) strains and highlights the presence of globally high-risk E. coli clones exhibiting extensive drug resistance phenotypes in Pakistani hospitals. The findings underscore the urgent need for enhanced surveillance and stringent antibiotic stewardship to manage the spread of these highly resistant and virulent strains within hospital settings.
Correction: Selim et al. Impact of Washingtonia robusta Leaves on Gamma Irradiation-Induced Hepatotoxicity in Rats and Correlation with STING Pathway and Phenolic Composition. Pharmaceuticals 2020, 13, 320
Authors: Selim Nabil M. , El-Hawary Seham S. , El Zalabani Soheir M. , Shamma Rehab Nabil , Mahdy Nariman El Sayed , Sherif Noheir H. , Fahmy Hanan A. , Mekkawy Mai H. , Yasri Abdelaziz , Sobeh Mansour
Published: November 2024

In the original publication [...]
Low-Temperature Metallomesogen Model Structures and Mixtures as Potential Materials for Application in Commercial Liquid Crystal Devices
Authors: Hakemi Hassanali
Published: November 2024

The present work was the preliminary study of phase diagrams and miscibilities of low-temperature metallomesogen (MOM) model structures based on rod-like palladium (Pd) alkyl/alkoxy-azobenzene metal complexes and their mixtures with commercial liquid crystal materials for potential application. The initial results indicated the accessible temperature range and mesgenic miscibility between parent ligand, MOMs and commercial liquid crystal mixtures. The eutectic ligand/MOM composition with other MOMs and commercial nematic liquid crystal materials exhibited complete mesogenic miscibility and wide low-temperature mesogenic stability for eventual utilization in commercial liquid crystal devices.
Vanillic Acid Modulates Antioxidant Defense and Methylglyoxal Detoxification Systems to Combat Drought Stress in Tomato Seedlings
Authors: Parvin Khursheda , Hasanuzzaman Mirza , Mohsin Sayed Mohammad , Nahar Kamrun , Fujita Masayuki
Published: November 2024

Vanillic acid (VA) regulates various plant physiological and biochemical processes upon different environmental stresses to enhance their tolerance. This study aimed to evaluate the protective effect of VA on growth and physiology, including osmoprotection, and antioxidant defense systems for enhancing higher tolerance by lowering oxidative damage against water deficit stress in tomatoes (Solanum lycopersicum L. cv. BARI Tomato-16). Hydroponically grown tomato seedlings (8 d old) were pretreated with 50 µM VA for 2 days followed by water deficit stress (imposed by water withdrawal and 12% polyethylene glycol; PEG-6000) for 4 d. Drought stress inhibited the seedlings’ growth by reducing water content and photosynthetic pigments contents, alleviating oxidative stress induced by a reactive oxygen species and methylglyoxal. A significant enhancement in growth, biomass accumulation, and photosynthetic pigment content was observed in VA-pretreated stress conditions. In addition, there was an improvement in the water status and proline content, along with modulated activities of the antioxidant responses, including both non-enzymatic and enzymatic components in leaves of VA-pretreated seedlings upon the water deficit. Vanillic acid significantly reduced the reactive oxygen species generation and decreased cellular membrane damage in drought-affected tomato seedlings. Methylglyoxal detoxification was ensured to a great extent in VA-pretreated stressed tomato seedlings by strengthening the glyoxalase enzymes’ activities. Therefore, VA can be effective for protecting tomato seedlings by inducing a plant antioxidant defense and the methylglyoxal detoxification system and osmoregulation under drought stress.
Photoperiodic Effect on Growth, Photosynthesis, Mineral Elements, and Metabolome of Tomato Seedlings in a Plant Factory
Authors: Wu Shaofang , Li Rongguang , Bu Chongxing , Zhu Cuifang , Miao Chen , Zhang Yongxue , Cui Jiawei , Jiang Yuping , Ding Xiaotao
Published: November 2024

The duration of light exposure is a crucial environmental factor that regulates various physiological processes in plants, with optimal timing differing between species and varieties. To assess the effect of photoperiods on the growth and metabolites of a specific truss tomato cultivar, three photoperiods (12 h, 16 h, and 20 h) were tested in a plant factory. Growth parameters, including plant height, stem diameter, fresh and dry weights of shoots and roots, photosynthetic characteristics, mineral content, and metabolome profiles, were analyzed under these conditions. The results indicated that prolonged light exposure enhanced plant growth, with the highest photosynthesis and chlorophyll content observed under a 20 h photoperiod. However, no significant correlation was observed between the photoperiod and the mineral element content, particularly for macro minerals. Metabolome analysis revealed that different photoperiods influenced the accumulation of metabolites, particularly in the lipid metabolism, amino acid metabolism, and membrane transport pathways. Long periods of light would enhance photosynthesis and metabolism, improving the rapid growth of tomato seedlings. Overall, this study provides a theoretical basis for understanding the responses of truss tomato cultivars to varying photoperiods in plant factories and proposes an optimizable method for accelerating the progress of tomato seedling cultivation.
In Vitro Degradation of Collagen-Based Membranes for Guided Bone Regeneration After Zn-Ions or Doxycycline Functionalization
Authors: Vallecillo Cristina , Osorio María T. , Infante Nuria , Ávalos María Jesús , Vallecillo-Rivas Marta , Lynch Christopher D. , Toledano Manuel
Published: November 2024

Collagen-based membrane is the most commonly used biomaterial for guided bone and tissue regeneration; however, its barrier function can be threatened by its rapid degradation pattern, affecting the success of the regeneration process. Differences in the origin and functionalization of the membrane to obtain better properties can alter the degradation rate. The objective of this study was to examine the biodegradation pattern of two commercially available collagen membranes (Jason® and Collprotect®) manufactured using porcine pericardium or dermis, doped or not with zinc-ions or doxycycline, in a period up to 21 days. The membrane specimens were subjected to hydrolytic and bacterial degradation tests. The different immersion times were carried out from 12 h up to 21 days. At each time point, quantitative measurements of thickness and weight were made using a digital caliper and an analytic microbalance, respectively. ANOVA and Student–Newman–Keuls tests were carried out for comparison purposes (p < 0.05). The differences between time-points within the same membranes and solutions were assessed by pairwise comparisons (p < 0.001). Unfunctionalized Jason membrane made of porcine pericardium attained the highest resistance to both degradation tests. The functionalization of the membranes did not alter the biodegradation patterns. All the membranes completely degraded before 48 h in the bacterial collagenase solution, which was the most aggressive test.
Effect of Temperature Control and Rotational and Traverse Speeds on the Mechanical Properties of Friction Stir-Welded Polypropylene Plates
Authors: Balaguera Miguelangel , Zambrano Habib R. , Chamorro Coneo Ramiro J. , Santa Marín Juan Felipe , Unfried-Silgado Jimy
Published: November 2024

In the present study, the effects of temperature and rotational and traverse speeds on the mechanical properties of polypropylene joints that are welded by friction stir welding using a non-rotational shoulder and a heat-assisted welding process is investigated. Tensile properties, microhardness measurements, microscopy observations, and thermal analysis are carried out in the present research to evaluate the effect of the welding parameters on the mechanical properties of welded joints. The experiments are conducted and analyzed by means of a central composite design using an analysis of variance (ANOVA). Variations in pre-heating temperature from 60 °C to 80 °C, rotational speed from 800 to 1500 rpm, and traverse speed from 20 mm/min to 100 mm/min are made for observations. A remarkable joint efficiency of 94% is achieved with joints that are free of discontinuities and defects. The fractured surfaces are observed to identify ductile and brittle zones. The crystallinity is measured, and a correlation between crystallinity and joint strength is discussed. The sample with highest efficiency shows 65% crystallinity and a ratio of 37.9% of ductile zone–total fractured area.
Correlative Multi-Scale Characterization of Nanoparticles Using Transmission Electron Microscopy
Authors: Neumann Stefan , Rafaja David
Published: November 2024

Chemical and physical properties of nanoparticles (NPs) are strongly influenced not only by the crystal structure of the respective material, including crystal structure defects but also by the NP size and shape. Contemporary transmission electron microscopy (TEM) can describe all these NP characteristics, however typically with a different statistical relevance. While the size and shape of NPs are frequently determined on a large ensemble of NPs and thus with good statistics, the characteristics on the atomic scale are usually quantified for a small number of individual NPs and thus with low statistical relevance. In this contribution, we present a TEM-based characterization technique, which can determine relevant characteristics of NPs in a scale-bridging way—from the crystal structure and crystal structure defects up to the NP size and morphology—with sufficient statistical relevance. This technique is based on a correlative multi-scale TEM approach that combines information on atomic scale obtained from the high-resolution imaging with the results of the low-resolution imaging assisted by a semi-automatic segmentation routine. The capability of the technique is illustrated in several examples, including Au NPs with different shapes, Au nanorods with different facet configurations, and multi-core iron oxide nanoparticles with a hierarchical structure.
Variation in Property Valuations Conducted by Artificial Intelligence in Japan: A Viewpoint of User’s Perspective
Authors: Ota Akira , Uto Masaaki
Published: November 2024

Property valuation services using artificial intelligence (AI) have been developed, with more than 20 services available in Japan. However, since their algorithms and training data are not publicly available, the extent of variations in the AI property valuations among these services is not clear. This study focuses on five services and uses a sample of 4295 valuations for 859 condominium units in six popular residential areas in Tokyo. (1) Multiple comparison tests of the AI property valuations among the services are conducted to confirm their statistical significance and to examine the extent of the variations. (2) The business models of each service are compared to examine the factors contributing to these variations. The results showed that the average variation in the AI property valuations was 10.6%, which was larger than the variations observed in traditional property valuations. It was also found that the valuation groups, categorized as high or low, varied based on the business models of the service providers. These results indicate that it is necessary to promote the healthy development of AI property valuation by establishing guidelines, such as requiring the AI property valuation services to ensure fair prices or disclosing their algorithms and data.
A Multi-Active and Multi-Passive Sensor Fusion Algorithm for Multi-Target Tracking in Dense Group Clutter Environments
Authors: Zhang Yongquan , Yang Fan , Zhang Wenbo , Shang Aomen , Li Zhibin
Published: November 2024

Multi-target tracking (MTT) of multi-active and multi-passive sensor (MAMPS) systems in dense group clutter environments is facing significant challenges in measurement fusion. Due to the difference in measurement information characteristics in MAMPS fusion, it is difficult to effectively correlate and fuse different types of sensors’ measurements, leading to difficulty in taking full advantage of various types of sensors to improve target tracking accuracy. To this end, we present a novel MAMPS fusion algorithm, which is based on centralized measurement association fusion (MAF) and distributed deep neural network (DNN) track fusion, named the MAMPS-MAF-DNN algorithm. Firstly, to reduce the impact of the dense group clutter, a clutter pre-processing algorithm is elaborated, which combines the advantages of the CFDP (cluster by finding density peaks) and double threshold screening algorithms. Then, for the single-active and multi-passive sensor (SAMPS) system, a centralized MAF algorithm based on angle information is developed, called the SAMPS-MAF algorithm. Finally, the SAMPS-MAF algorithm is extended to the MAMPS system within the DNN framework, and the complete MAMPS-MAF-DNN algorithm is proposed. Experimental results indicate that, compared to the existing MAF and covariance intersection (CI) fusion algorithms, the proposed MAMPS-MAF-DNN algorithm can fully combine the advantages of multi-active and multi-passive sensors, efficiently reduce the computational complexity, and obviously improve the tracking accuracy.
Language Policies and Ideologies for Socialization and Identity-Building in U.S. Schools: The Case of Newcomer and Refugee Students in Arizona and New York
Authors: Russell S. Garnett , Fabo Camille , Jones Victoria , Colic Arnela
Published: November 2024

Although multilingualism is a major issue in educational policies, especially in states hosting a high number of newcomer immigrant students, there is limited research exploring the experiences of a multilingual group of newcomer students and how they use language in schools. This article draws on 112 interviews with students from an immigrant background across four high schools in Arizona and New York. We illuminate the role of language in shaping identity and inclusion. Through conceptualizing power and language ideology, we find that language ideologies and practices shape the perception of students’ social interactions in school settings. Our findings also indicate that teachers’ practices and school policies surrounding language(s) have the potential to affect how students view language in relation to their own identity and via social interactions. We contribute to an understanding of how language policies and ideologies shape the experiences and power dynamics of diverse, multilingual, immigrant-origin students.
The Polarization Loop: How Emotions Drive Propagation of Disinformation in Online Media—The Case of Conspiracy Theories and Extreme Right Movements in Southern Europe
Authors: Marino Erik Bran , Benitez-Baleato Jesus M. , Ribeiro Ana Sofia
Published: November 2024

This paper examines the influence of emotions on political polarization, looking at online propagation of conspiracy thinking by extreme right movements in Southern Europe. Integrating insights from psychology, political science, media studies, and system theory, we propose the ‘polarization loop’, a causal mechanism explaining the cyclical relationship between extreme messages, emotional engagement, media amplification, and societal polarization. We illustrate the utility of the polarization loop observing the use of the Great Replacement Theory by extreme right movements in Italy, Portugal, and Spain. We suggest possible options to mitigate the negative effects of online polarization in democracy, including public oversight of algorithmic decission-making, involving social science and humanities in algorithmic design, and strengthening resilience of citizenship to prevent emotional overflow. We encourage interdisciplinary research where historical analysis can guide computational methods such as Natural Language Processing (NLP), using Large Language Models fine-tunned consistently with political science research. Provided the intimate nature of emotions, the focus of connected research should remain on structural patterns rather than individual behavior, making it explicit that results derived from this research cannot be applied as the base for decisions, automated or not, that may affect individuals.
Seeking Asylum in the United States: Intersectional Analysis of the Experiences of Transgender Women from the Central American Northern Triangle
Authors: Rodman Debra , Monico Carmen , Rotabi-Casares Karen S.
Published: November 2024

The Northern Triangle countries, including El Salvador, Guatemala, and Honduras, are sources of a significant number of asylum seekers in the United States today. This article examines the underlying societal dynamics in these countries and considers the typical profile of transgender immigrant women seeking asylum in the U.S. on the legal grounds of having faced gender-based violence in their countries of origin. It analyzes the relevant international conventions as well as the social determinants of the health and mental health of transgender asylum seekers. It draws from 35 cases of transgender immigrant women subjected to child sexual abuse; sexual assault, including assault by police; and forced sex work; it reviews examples from the academic and gray literature, including a precedent-setting case heard before the Inter-American Court on Human Rights. It discusses the implications for social science professionals, including the role of experts of country conditions. It provides guidance for immigrant service providers and advocates, particularly the importance of gender-affirming policies and healthcare to this population deserving of protection.
High-Precision Defect Detection in Solar Cells Using YOLOv10 Deep Learning Model
Authors: Aktouf Lotfi , Shivanna Yathin , Dhimish Mahmoud
Published: November 2024

This study presents an advanced defect detection approach for solar cells using the YOLOv10 deep learning model. Leveraging a comprehensive dataset of 10,500 solar cell images annotated with 12 distinct defect types, our model integrates Compact Inverted Blocks (CIBs) and Partial Self-Attention (PSA) modules to enhance feature extraction and classification accuracy. Training on the Viking cluster with state-of-the-art GPUs, our model achieved remarkable results, including a mean Average Precision (mAP@0.5) of 98.5%. Detailed analysis of the model’s performance revealed exceptional precision and recall rates for most defect classes, notably achieving 100% accuracy in detecting black core, corner, fragment, scratch, and short circuit defects. Even for challenging defect types such as a thick line and star crack, the model maintained high performance, with accuracies of 94% and 96%, respectively. The Recall–Confidence and Precision–Recall curves further demonstrate the model’s robustness and reliability across varying confidence thresholds. This research not only advances the state of automated defect detection in photovoltaic manufacturing but also underscores the potential of YOLOv10 for real-time applications. Our findings suggest significant implications for improving the quality control process in solar cell production. Although the model demonstrates high accuracy across most defect types, certain subtle defects, such as thick lines and star cracks, remain challenging, indicating potential areas for further optimization in future work.
Albedo Reflection Modeling in Bifacial Photovoltaic Modules
Authors: d’Alessandro Vincenzo , Daliento Santolo , Dhimish Mahmoud , Guerriero Pierluigi
Published: November 2024

This paper focuses on the analytical modeling of albedo reflection in bifacial photovoltaic modules, with particular emphasis on the backside. First, we critically examine the approaches proposed in the literature, presenting them with a tutorial style and a uniform nomenclature. These approaches are demonstrated to yield physically meaningless results, as they erroneously assume that the ground area shaded by the module acts as a source of reflected irradiance independent of the portion of sky dome visible to such an area. Then we introduce a correction based on the view factor between the shaded area and the sky. The result is a comprehensive and accurate analytical model that also describes the case of suspended panels and can be easily implemented into PV plant simulators.
Does Perception Determine Knowledge? Evaluation of the Implementation of Historical Thinking as a Factor for Socio-Cultural Sustainability
Authors: López-García Alejandro , Miralles-Martínez Pedro
Published: November 2024

Historical thinking plays a key role in the education of critical citizens who are committed to the world in which they live. Socio-cultural sustainability promotes respect for one’s own cultural roots (and those of others), averts the consequences of cultural homogenisation and fosters identification with fundamental values and human rights. The main objective of this study is to analyse the consistency between the perception of teaching–learning processes and the historical knowledge of secondary school students following the implementation of a teaching unit based on the methodological theory of historical thinking. A quasi-experimental design with a non-equivalent control group was applied to 93 baccalaureate students (16–18 years of age) from the Region of Murcia (Spain). Two teaching units with different methodologies (experimental and control) were developed and compared. The results show a moderate degree of consistency between perceptions and knowledge in some variables in the analysis of the experimental group. Thus, it can be stated that historical thinking as a methodological theory contributes to promoting the idea of multiculturalism and has good academic results in terms of historical learning. In conclusion, the role of historical thinking as an influential factor in the perception and acquisition of knowledge is clear. In addition, it helps to preserve socio-cultural sustainability via community participation, the promotion of social justice and respect for other cultures.
Designing a Digital Service System for Sustainable Social Value Creation: A Holistic Design Method Based on Socio-Cyber-Physical System Perspectives
Authors: Akasaka Fumiya , Mitake Yuya , Watanabe Kentaro , Nishikawa Yuri , Ozawa Jun , Shimomura Yoshiki
Published: November 2024

Recently, data utilisation and digital service offerings are becoming primary methods of value creation. In this context, designing and offering ‘digital service systems’ (DSSs) that integrate physical elements (e.g., products, facilities, and physical infrastructure) and digital service elements (e.g., digital services, data, apps, and cloud systems) are important to create sustainable social values and achieve the United Nations’ Sustainable Development Goals 9 and 11. In this study, we propose a novel method for designing a DSS that simultaneously consider three system domains, namely social, physical, and digital domains. Specifically, we developed design models and a design process to support the DSS design. The proposed method was applied to an actual DSS design case. The results revealed that the proposed method could effectively consider components in the social system domain in addition to those in the digital and physical system domains in the DSS design. In particular, we identified that the proposed design models were useful for enabling the systematic management of a long-term collaborative design process among various stakeholders. They also enabled value-oriented thinking in DSS design and encouraged designers to consider different types of value in the DSS.
Correction: Sharma et al. Harnessing the Wild Relatives and Landraces for Fe and Zn Biofortification in Wheat Through Genetic Interventions—A Review. Sustainability 2021, 13, 12975
Authors: Sharma Vivek , Choudhary Mukesh , Kumar Pawan , Choudhary Jeet Ram , Khokhar Jaswant S. , Kaushik Prashant , Goli Srinivas
Published: November 2024

In the publication [...]
Are Australian Food Companies Using Nature Imagery as a Marketing Strategy? A Content Analysis
Authors: de Vlieger Nienke , Adam Marc T. P. , Nicolay Pierre-Henry , Piper Jessica , Dohle Simone , Collins Clare E. , Bucher Tamara
Published: November 2024

Emerging evidence suggests that nature imagery can affect consumer food choices. However, little is known about whether and, if so, how food companies use nature imagery as a means to appeal to consumers’ environmental concerns as a marketing strategy. The current study aims to explore this matter for websites of Australian food companies. We extracted images from 45 Australian food company websites and coded for (1) nature type, (2) restorative effect, (3) level of cultivation and human interference, and (4) processing level (only for images with food present). All included food companies had a separate webpage dedicated to sustainability, and most nature images were located there. Sustainability pages had more images of ‘pure nature’ (i.e., no cultivation or human interference and high in restorative effects) and more ‘urban’ images compared to the main pages. Most food in the images was unprocessed, while only one image featured both nature and food. Australian food companies are commonly using images of nature on their sustainability webpages. The images might be used as a marketing strategy to connect with consumers’ environmental concerns as a strategy to build trust and affinity with customers. However, companies currently do not combine nature imagery and their food products in one image on their websites.
Research Progress on the Activity Stimulation of Lithium Slag in Concrete
Authors: Ke Yuxian , Li Jingyi , Yan Xinyi , Xiong Zhipeng
Published: November 2024

Lithium slag (LS), an industrial waste byproduct generated during lithium salt production, is characterized by its harmful trace elements, significant stockpiles and low pozzolanic activity. By 2003, the annual discharge of lithium slag in China surpassed 15 million tons, creating an urgent need for established large-scale disposal technologies. One of the primary strategies for the effective utilization of LS is its application as an auxiliary cementitious material in concrete. However, the low reactivity of LS and challenges associated with its large-scale application impede its effective utilization. Enhancing the pozzolanic activity of LS is pivotal for its substantial incorporation into concrete. This study begins by analyzing the physicochemical properties and volcanic ash reactivity of LS derived from various lithium extraction techniques. It subsequently explores the diverse activation techniques aimed at improving the reactivity of LS within concrete. Ultimately, this paper highlights the significance of synergistic activation strategies, particularly physicochemical co-excitation and multi-exciter composite excitation. These approaches are identified as critical pathways for enhancing the activity of LS. Through this exploration, this study aims to unveil innovative strategies that bolster the resource utilization efficiency of LS, thereby facilitating its effective application in the concrete domain.
European Perspectives on Public Benefit in Relation to Food: Insights from a Serious Game Approach
Authors: Mohebati Lisa , Iori Elisa , Haugaard Morten , Stancu Violeta , de la Cueva Javier , Rovný Patrik , Jansto Erik , Mehlhose Clara , Schäfer Alina , Weiß Isabelle , Hodgkins Charo , Raats Monique , Timotijevic Lada
Published: November 2024

There is limited understanding of what constitutes public benefit from the perspective of the public, and none that we are aware of related to food consumer science. The purpose of this study is to contribute towards a better understanding of public benefit as a whole and its connection to food choice, essential to driving progress towards responsible consumption and healthier diets. Public benefit, associated trade-offs and responsible actors were investigated via written questions, and food choice was explored during group discussions using the PlayDecide methodology. Adults (n = 105) were recruited in six European countries (Denmark, Germany, Italy, Slovakia, Spain and the UK) and stratified by attained education. Our findings indicate that assumptions should not be made that there is general consensus about what constitutes public benefit, especially with regard to consumer food choice. Group discussions around food-related freedom of choice, education, agency and responsibility suggested that private and public benefit are neither mutually exclusive nor automatically complementary. The serious game approach employed affected a change in participants’ public benefit perceptions, demonstrating its potential to better evaluate the connections between private interests and the common good through meaningful public deliberation.