bluuebunny/crossref_metadata_2025 huggingface dataset:
A Scoping Review of the Use of Artificial Intelligence in the Identification and Diagnosis of Atrial Fibrillation
Authors: Menezes Junior Antônio da Silva , e Silva Ana Lívia Félix , e Silva Louisiany Raíssa Félix , de Lima Khissya Beatryz Alves , Oliveira Henrique Lima de
Published: October 2024

Background/Objective: Atrial fibrillation [AF] is the most common arrhythmia encountered in clinical practice and significantly increases the risk of stroke, peripheral embolism, and mortality. With the rapid advancement in artificial intelligence [AI] technologies, there is growing potential to enhance the tools used in AF detection and diagnosis. This scoping review aimed to synthesize the current knowledge on the application of AI, particularly machine learning [ML], in identifying and diagnosing AF in clinical settings. Methods: Following the PRISMA ScR guidelines, a comprehensive search was conducted using the MEDLINE, PubMed, SCOPUS, and EMBASE databases, targeting studies involving AI, cardiology, and diagnostic tools. Precisely 2635 articles were initially identified. After duplicate removal and detailed evaluation of titles, abstracts, and full texts, 30 studies were selected for review. Additional relevant studies were included to enrich the analysis. Results: AI models, especially ML-based models, are increasingly used to optimize AF diagnosis. Deep learning, a subset of ML, has demonstrated superior performance by automatically extracting features from large datasets without manual intervention. Self-learning algorithms have been trained using diverse data, such as signals from 12-lead and single-lead electrocardiograms, and photoplethysmography, providing accurate AF detection across various modalities. Conclusions: AI-based models, particularly those utilizing deep learning, offer faster and more accurate diagnostic capabilities than traditional methods with equal or superior reliability. Ongoing research is further enhancing these algorithms using larger datasets to improve AF detection and management in clinical practice. These advancements hold promise for significantly improving the early diagnosis and treatment of AF.
Assessing Urban Vulnerability to Emergencies: A Spatiotemporal Approach Using K-Means Clustering
Authors: Mutambik Ibrahim
Published: October 2024

Today, urban areas across the world are increasingly vulnerable to emergencies due to expanding populations and the impact of climate change. This paper presents a data-driven method for assessing the susceptibility of urban regions to emergencies, using publicly available data and a clustering-based algorithm. The study incorporates both spatial and temporal dynamics, capturing the fluctuating nature of urban infrastructure and patterns of human movement over time. By introducing the notion of Points of Temporal Influence (PTIs) and a new “susceptibility level” parameter, the proposed model offers an innovative approach to understanding urban susceptibility. Experiments conducted in London, the UK, demonstrated the effectiveness of the Spatiotemporal K-means Clustering algorithm in identifying areas with heightened time-sensitive susceptibility. The findings highlight the value of incorporating both spatial and temporal data to enhance emergency response strategies and optimize urban planning efforts. This study contributes to the literature on smart cities by providing a scalable and adaptable method for improving urban resilience in the face of evolving challenges.
Investigating How Policies and Other Conditions Contribute to Influencing Agricultural GHG Emissions in the EU
Authors: Galioto Francesco , Criscuoli Irene , Martelli Andrea , Lasorella Maria Valentina , Falconi Ilaria , Marandola Danilo , Dara Guccione Giovanni , Varia Francesca
Published: October 2024

The present study aims at investigating the potential impacts of agricultural policies on GHG emissions from agriculture across the European Union. The study begins by providing evidence on how the key CAP reforms contributed to the structural changes the European agriculture faced in the past. Based on these facts, we introduce the context of implementation of the 2014–2022 Common Agricultural Policy (CAP), within which many interventions were designed to improve sustainability and increase competitiveness, and we formulate hypotheses on how CAP instruments can contribute differently to influencing GHG emissions from agriculture. The hypotheses formulated concern the following: (1) the influence of the income support payment on land prices and, consequently, on land distribution between small and large landowners; (2) the influence of the coupled payment on agricultural specialization; (3) the influence of agri-environmental-climate measures on the sustainable management of agricultural lands. These causalities can have direct and indirect effects on GHG emissions from agriculture. The method of qualitative comparative analysis (QCA) is used to investigate the above-mentioned causalities and to cluster observations based on similar combinations of conditions (i.e., drivers) and outcomes (i.e., positive or negative variations in GHG emissions from agriculture between the end and the beginning of the CAP programming period). The results reveal that the increase in GHG emissions from agriculture over the study period is mainly attributable to the low share of agricultural land under management contracts targeting climate change mitigation and carbon sequestration through the CAP. CAP payments coupled with production were found to contribute to further increasing GHG emissions from agriculture in some eastern and northern EU countries. Livestock concentrations, income support payments and the high price of agricultural land drive the increase in GHG emissions for other central and eastern EU countries. The paper concludes by addressing existing shortcomings due to conflicting interventions in the current CAP strategic plans.
Elastic Band Training Versus Multicomponent Training and Group-Based Dance on Morphological Variables and Physical Performance in Older Women: A Randomized Controlled Trial
Authors: Hernandez-Martinez Jordan , Guzmán-Muñoz Eduardo , Cid-Calfucura Izham , Villalobos-Fuentes Francisca , Diaz-Saldaña Daissy , Alvarez-Martinez Ignacia , Castillo-Cerda María , Herrera-Valenzuela Tomás , Branco Braulio Henrique Magnani , Valdés-Badilla Pablo
Published: October 2024

Background: This study aimed to analyze the effects of elastic band training (EBT) versus multicomponent training (MCT) and group-based dance (GBD) on waist circumference, body composition (body fat percentage and fat-free mass), and physical performance (handgrip strength, HGS; 30-s chair stand; timed up-and-go, TUG) in Chilean older women. Methods: This is a randomized controlled trial with three parallel groups: EBT (n = 10), MCT (n = 10), and GBD (n = 10). Two 60-min sessions per week for 8 weeks were dedicated to the interventions with pre- and post-assessments. A two-factor mixed ANOVA model with repeated measures was performed to measure the time × group effect. Results: Multiple comparisons revealed significant differences between EBT and MCT in the body fat percentage (p = 0.001; ES = 2.488, large effect) in favor of MCT, while HGS in the non-dominant hand (p = 0.044; ES = 0.158) was in favor of EBT. In the intragroup results, only the MCT significantly decreased the body fat percentage (p = 0.044; ES = 0.426, small effect), and EBT significantly increased HGS in the dominant (p < 0.001; ES = 0.977, large effect) and non-dominant (p < 0.001; ES = 0.583, moderate effect) hands and improved the 30-s chair stand (p = 0.003; ES = 1.612, large effect) test. The GBD did not report significant changes. Conclusions: MCT significantly reduced the body fat percentage regarding EBT, and EBT significantly improved HGS in the non-dominant hand regarding MCT, with no differences reported in the rest of the analyzed variables between the groups.
Antioxidant and Anti-Proliferative Effects of Ornithogalum balansae Extracts Collected in Black Sea Region Against Lung Cancer Cells
Authors: Ejder Nebahat , Sökmen Munevver , Tunalı Fatma , Kolaylı Sevgi , Kılıç Ali Osman
Published: October 2024

Ornithogalum is a genus of wild herb species widely used as food and in traditional medicine. This study investigated some of the biologically active properties of Ornithogalum balansae grown in the eastern Black Sea region of Türkiye. The investigations were carried out using the methanolic extracts of the plant’s aerial and bulbs (B1 and B2) parts. The phenolic composition was examined as total phenolic content (TPC), total flavonoid content (TFC), and HPLC-PDA. The antioxidant capacity of the extracts was tested based on ferric reducing/antioxidant power (FRAP) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging methods. The anti-proliferative activity was tested against metastatic cell lines H1299 and H209, non-small-cell lung A549, and fibroblast MRC-5 cell lines using MTT and trypan blue methods. Wound-healing and invasion chamber assays were used to determine the inhibitory effects of the extracts on migration and invasion, respectively. The extract of the aerial part contained a large number of phenolic substances and high antioxidant capacity. The extract exhibited a significant anti-proliferative effect on the human lung cancer cells (A549 and H209), with IC50 values of 0.97 ± 0.04 and 1.06 ± 0.07 µg/mL, respectively. Moreover, the aerial part exhibited inhibition of migratory and invasive capacities in A549 cells at a concentration of 1.50 µg/mL. The findings associated with O. balansae suggest a promising therapeutic potential against lung cancer cells.
Neurosurgical Outcomes for Intracerebral Hemorrhage in Patients Undergoing Dialysis
Authors: Maeda Takuma , Miyata Mayuko , Naito Nobuaki , Onodera Koki , Take Yushiro , Shibata Aoto , Suzuki Kaima , Ooigawa Hidetoshi , Kurita Hiroki
Published: October 2024

Patients on hemodialysis (HD) are at a very high risk of stroke, especially hemorrhagic stroke, with worse outcomes than the general population. We have determined the indications for urgent neurosurgery for intracerebral hemorrhage (ICH) based on the hematoma volume and neurological severity, regardless of HD status. This study aimed to evaluate the neurosurgical outcomes of ICH in patients undergoing HD. We retrospectively reviewed 38 cases of surgical removal of ICH performed in patients on HD. Patients were categorized into poor or better (0–4) and very poor (5 or 6) groups according to their modified Rankin Scale (mRS) score at discharge. Patient demographics, clinical characteristics, and operative records were retrospectively analyzed. The median Glasgow Coma Scale (GCS) score and hematoma volume were 6 and 99 mL, respectively. A total of 30 patients (78.9%) had very poor outcomes at discharge. Significant differences were observed in GCS score (13 vs. 6) and hematoma volume (53 vs. 114 mL) between the poor or better and very poor groups. The receiver operating characteristic curve analysis showed the cut-off values were 9 for GCS (AUC = 0.821) and 63.3 mL for hematoma volume (AUC = 0.812). The most common complication was rebleeding (10.5%), followed by seizures (7.9%), infection (7.9%), and cerebral edema (7.9%). In conclusion, neurosurgical outcomes of ICH in patients undergoing HD remain poor, but 21.1% of these patients achieved an mRS ≤ 4. ICH patients on HD with a GCS score > 9 or hematoma volume < 63 mL are more likely to demonstrate mRS ≤ 4 after surgical evacuation. The postoperative management of patients on HD should be performed considering specific risks, such as seizures and rebleeding.
Comparison Between Varicocelectomy and Varicocele Sclerotherapy: Results of a Single-Center Observational Study
Authors: Cannarella Rossella , Cannarella Vittorio , Randazzo Rosario , Crafa Andrea , Compagnone Michele , Mongioì Laura M. , Condorelli Rosita A. , Bagnara Vincenzo , La Vignera Sandro , Calogero Aldo E.
Published: October 2024

Affecting up to 15% of men worldwide, varicocele has been recognized as a cause of infertility, and its repair is associated with an improvement in conventional and bio-functional sperm parameters. Various surgical and radiological techniques exist for varicocele repair. However, it is unclear which technique is associated with greater clinical efficacy. This retrospective, single-center study aimed to compare the effectiveness of surgical treatment (Ivanissevich technique) versus radiological treatment (sclerotherapy) in a cohort of 94 patients with varicocele. After varicocele repair, a significant increase in sperm concentration was observed only in the group of patients treated with sclerotherapy. A significant reduction in the percentage of patients with oligozoospermia was found in the group of patients treated surgically. Patients undergoing surgical varicocelectomy had increased serum luteinizing hormone (LH) levels, decreased spermatid concentration, and increased percentage of spermatozoa in late apoptosis, probably as a result of surgical traumatism. In conclusion, the results of this study did not show a clear benefit of one technique over the other and confirm the findings of the current literature. However, it remains one of the few on the topic that also considers sperm bio-functional parameters among its outcomes and opens the research up to new considerations on the bio-functional sperm parameters.
The Crystal Structures of 4-(1-Methylpiperidin-1-ium-1-yl)-2,2-Diphenylbutanamide Bromide and 4-(1-Methylpiperidin-1-ium-1-yl)-2,2-Diphenylbutanamide Bromide Hemihydrate
Authors: Grosu Ioana-Georgeta , Turza Alexandru , Borodi Gheorghe , Miclaus Maria-Olimpia
Published: October 2024

Fenpiverinium is an agent which, from a medical perspective, has anticholinergic and antispasmodic properties, with applications in the treatment of smooth muscle spasm. The crystal and molecular structures of two fenpiverinium-based crystals, namely fenpiverinium bromide and fenpiverinium bromide hemihydrate, were elucidated and explored by single-crystal X-ray diffraction.
TraceGuard: Fine-Tuning Pre-Trained Model by Using Stego Images to Trace Its User
Authors: Zhou Limengnan , Ren Xingdong , Qian Cheng , Sun Guangling
Published: October 2024

Currently, a significant number of pre-trained models are published online to provide services to users owing to the rapid maturation and popularization of machine learning as a service (MLaaS). Some malicious users have pre-trained models illegally to redeploy them and earn money. However, most of the current methods focus on verifying the copyright of the model rather than tracing responsibility for the suspect model. In this study, TraceGuard is proposed, the first framework based on steganography for tracing a suspect self-supervised learning (SSL) pre-trained model, to ascertain which authorized user illegally released the suspect model or if the suspect model is independent. Concretely, the framework contains an encoder and decoder pair and the SSL pre-trained model. Initially, the base pre-trained model is frozen, and the encoder and decoder are jointly learned to ensure the two modules can embed the secret key into the cover image and extract the secret key from the embedding output by the base pre-trained model. Subsequently, the base pre-trained model is fine-tuned using stego images to implement a fingerprint while the encoder and decoder are frozen. To assure the effectiveness and robustness of the fingerprint and the utility of fingerprinted pre-trained models, three alternate steps of model stealing simulations, fine-tuning for uniqueness, and fine-tuning for utility are designed. Finally, the suspect pre-trained model is traced to its user by querying stego images. Experimental results demonstrate that TraceGuard can reliably trace suspect models and is robust against common fingerprint removal attacks such as fine-tuning, pruning, and model stealing. In the future, we will further improve the robustness against model stealing attack.
Neurodevelopment of Children Born with Forceps Delivery—A Single Tertiary Clinic Study
Authors: Kostic Sanja , Ivanovic Katarina , Jovanovic Ivana , Petronijevic Milos , Cerovac Natasa , Milin-Lazovic Jelena , Bratic Danijela , Dugalic Stefan , Gojnic Miroslava , Petronijevic Milica , Stojanovic Milan , Rankovic Ivan , Vrzic Petronijevic Svetlana
Published: October 2024

Background and Objectives: Forceps delivery is a crucial obstetrical technique that has become increasingly underutilized in favor of cesarean delivery, despite the numerous complications related to cesarean sections. The major concerns with regard to assisted vaginal birth (AVB) are safety and long-term consequences. We aimed to investigate a neurological outcome of neonates and children at the age of 7 who were born via forceps delivery. This would greatly improve informed decision making for both mothers and obstetricians. Materials and Methods: A single-arm cohort study was conducted from January 2012 to December 2016 among 49 women and their children born via forceps delivery at the Clinic for Gynecology and Obstetrics, University Clinical Center of Serbia. The Sarnat and Sarnat classification was used to evaluate the neurological status of neonates, and logistic regression analysis was employed to explore the association with perinatal factors. Long-term neurological outcomes were assessed using the Griffiths Mental Development Scale and a questionnaire for parents based on the Motor and Social Development (MSD) scale, which was derived from the Bayley-III Scale. Results: The main indication for forceps delivery was maternal exhaustion (79.6%), followed by fetal distress (20.4%). A pathological neurological status was observed in 16.3% of newborns, with pathological ultrasound of the CNS in 3%. A statistically significant association was observed with the Apgar score, with an odds ratio of 0.575 (95% CI: 0.407–0.813, p = 0.002) and perinatal asphyxia, with an odds ratio of 9.882 (95% CI: 1.111–87.902, p = 0.04). However, these associations were unlikely to be related to the mode of delivery. Long-term adverse neurological outcomes were seen in three cases, which accounts for 6.4%. These included mild disorders such as delayed milestone, speech delay, and motor clumsiness. Conclusions: The present study highlights the safety of forceps delivery regarding children’s neurological outcomes at 7 years of age. This is an important contribution to the modern management of labor, especially in light of increasing rates of cesarean deliveries worldwide.
Dysfunction of PTEN-Associated MicroRNA Regulation: Exploring Potential Pathological Links in Type 1 Diabetes Mellitus
Authors: Senyigit Abdulhalim , Durmus Sinem , Oruc Aykut , Gelisgen Remise , Uzun Hafize , Tabak Omur
Published: October 2024

Background and Objectives: Type 1 Diabetes Mellitus (T1DM) is an autoimmune disease with T cell-mediated pathogenesis of pancreatic β-cell destruction, leading to insulin deficiency. MicroRNAs such as miR-223 and miR-106b, along with PTEN, have been reported to participate in the pathophysiology of diabetes and its complications. The current study has explored the expression of miR-223, miR-106b, and PTEN and their association with various clinical and biochemical parameters in subjects diagnosed with T1DM. Materials and Methods: Sixty T1DM patients (two groups as uncomplicated/ with microalbuminuria) and fifty healthy volunteers, age- and sex-matched, were enrolled in this study. The fasting venous blood samples were collected, and PTEN and miRNAs (miR-223 and miR-106b) levels were measured by ELISA and real-time PCR, respectively. Results: The PTEN levels of patients with microalbuminuria were significantly lower than those of patients without microalbuminuria, while those of miR-223 and miR-106b were significantly increased in the T1DM group compared with the healthy control group (p < 0.001). ROC analysis indicated that PTEN, miR-223, and miR-106b could be potential biomarkers for diagnosing T1DM with high specificity but with variable sensitivities. Also, PTEN and miR-223 were negatively correlated with r =−0.398 and p < 0.0001, indicating that they were interrelated in their role within the T1DM pathophysiology. Conclusions: In the current study, it has been shown that the circulating levels of PTEN, miR-223, and miR-106b are significantly changed in T1DM patients and may back their potential to be used as non-invasive biomarkers for the diagnosis and monitoring of T1DM. Low PTEN protein expression was related to high miR-223 expression, indicating involvement of these miRNA in the regulation of PTEN. Further studies should be performed to clarify the exact mechanisms and possible clinical applications of these molecules.
Antibiotic Prescription for Treatment and Prevention of Odontogenic Infections: A Cross-Sectional Survey of Lithuanian Dentists
Authors: Skucaite Neringa , Stundžia Lukas , Veberiene Rita , Brukiene Vilma , Maciulskiene Vita
Published: October 2024

Background and Objectives: The inappropriate use of antibiotics can lead to antimicrobial resistance. Overprescribing in dental practice has been reported. This study aimed to describe patterns of antibiotic prescription for treating and preventing odontogenic infections based on reports from Lithuanian dentists. Materials and Methods: Questionnaires were sent to all 4751 Lithuanian dentists registered in the database of the Lithuanian Dental Chamber who had consented to participate in surveys. The questionnaire addressed antibiotic prescription preferences for the treatment and prevention of various dental pathologies. The statistical analysis included chi-square tests and a factor analysis to evaluate prescription frequences in different clinical scenarios considering the respondents’ specialty and age. Results: Of 647 responses, 497 were from general dentists, 35 from oral surgeons, 40 from endodontists, 20 from periodontists, and 35 from prosthodontists. Respondents were grouped by age: A (≤35 years, n = 207), B (36–50 years, n = 224), and C (≥51 years, n = 209). Amoxicillin was the first-choice antibiotic for 81.1% of respondents (group A more frequently than other groups, p = 0.001). A 7-day treatment duration was preferred by 60.8%, while 33.6% chose 5 days. For patients allergic to β-lactam antibiotics, 63% preferred clindamycin. Over 90% cited acute apical abscess with systematic involvement as an indication for antibiotic prescription. A factor analysis of 18 clinical scenarios revealed prescription differences among dental specialists, oral surgeons, and periodontists prescribing antibiotics more frequently than general dentists and endodontists. For prophylaxis, 87.5% recommended antibiotics for patients at risk of infectious endocarditis after a cardiologist’s consultation (group C less frequently than other groups, p = 0.021). Conclusions: Lithuanian dentists generally prefer narrow-spectrum antibiotics for the treatment of odontogenic infections. There are notable differences in prescription patterns among dental specialists, with younger dentists showing a trend towards more rational antibiotic use.
Dose-Dependent Effects of Turmeric (Curcuma aromatica S.) Starch on Colonic Fermentation in Rats
Authors: Ekanayake Ekanayake Mudiyanselage Asanka Chamara , Ishii Ryota , Nagata Ryuji , Shimada Ken-ichiro , Han Kyu-Ho , Fukushima Michihiro
Published: October 2024

Background; Turmeric starch (TS) has gained significant attention due to its potential health benefits. Rich in resistant starch (RS) and higher in phosphorus, TS is anticipated to possess properties of high-phosphorus-type RS. Objectives; To understand the host physiology of TS, this study investigated the dose-dependent effects of TS on colonic fermentation in rats. Methods; Four experimental diets containing different levels of TS (5%, 10%, and 20% w/w) were formulated and fed to male Fischer 344 rats for two weeks and compared with rats fed a 0% TS diet (TS0). Results; Results showed that increasing the dose of TS resulted in reduced body weight gain, lower visceral tissue weight, and increased cecal mucin and IgA levels compared with the TS0 group. Further, fecal dry weight increased dose-dependently parallel to the starch excretion rate. Higher doses of TS resulted in increased short chain fatty acid (SCFA) production, specifically cecal acetate content, as well as in a dose-dependent decrease in the cecal pH level. However, this study did not observe a positive effect of TS on colonic alkaline phosphatase (ALP) activity, and the impact on small intestinal ALP activity remains unclear. Notably, beneficial bacteria such as the family Oscillospiraceae, genus Lachnospiraceae NK4A136 group, and Ruminococcus spp. were found to have been enriched in the TS-fed groups, further supporting the beneficial effects of TS on gut microbiota and SCFA production. Additionally, the genus Mucispirillum, which is known to possess beneficial and opportunistic pathogenic traits under immunocompromised states, was found in the TS-fed groups. Conclusions; According to these results, it is clear that TS served as a prebiotic substrate in rats, with a notable modulation of the microbial composition.
Impact of Total Ionizing Dose on Radio Frequency Performance of 22 nm Fully Depleted Silicon-On-Insulator nMOSFETs
Authors: Yan Zhanpeng , Liu Hongxia , Huang Menghao , Wang Shulong , Chen Shupeng , Zhou Xilong , Huang Junjie , Liu Chang
Published: October 2024

In this paper, the degradation mechanism of the RF performance of 22 nm fully depleted (FD) silicon-on-insulator nMOSFETs at different total ionizing dose levels has been investigated. The RF figures of merit (the cut-off frequency fT, maximum oscillation frequency fmax) show significant degradation of approximately 14.1% and 6.8%, respectively. The variation of the small-signal parameters (output conductance (gds), transconductance (gm), reflection coefficient (|Γin|), and capacitance (Cgg)) at different TID levels has been discussed. TID-induced trapped charges in the gate oxide and buried oxide increase the vertical channel field, which leads to more complex degradation of small-signal parameters across a wide frequency range.
Algorithms for Effector Prediction in Plant Pathogens and Pests: Achievements and Current Challenges
Authors: Santos-Briones César De los , Carreón-Anguiano Karla Gisel , Vila-Luna Sara E. , Todd Jewel Nicole Anna , Islas-Flores Ignacio , Sáenz-Carbonell Luis , Gamas-Trujillo Pablo Alejandro , Canto-Canché Blondy
Published: October 2024

Effectors are key organism-associated molecules that aid in the establishment of interactions with other organisms. Effectoromics has become an important area of research in phytopathology. The lack of sequence conservation among effectors, even in closely related organisms, has led us to believe that effectors from organisms of different kingdoms are completely unrelated, which has fostered the independent development of effector identification strategies in bacteria, fungi, phytoplasmas, etc. This review focuses on the different algorithms available for effector identification in different plant pathogens and pests, using the following classification: (1) translocated effectors (bacteria, oomycete) and (2) secreted effectors (phytoplasmas, fungi, insects, nematodes). The objective of this type of classification is to identify, for the first time, the common features that exist among these organisms to streamline future effectoromics identification strategies. Among the organisms’ commonalities, certain bacteria, fungi, phytoplasmas, and nematodes may cause similar symptoms, and some of their effectors may target the same proteins or biological processes in the plant hosts. The integration of effector analyses of organisms of different living kingdoms, through the identification of common short linear motifs, domains, and three-dimensional structures, may aid in the development of novel algorithms for effectoromics. Future algorithms may contemplate these highlighted features and will be better equipped to identify not only canonical effectors but highly elusive non-canonical effectors as well.
Characterisation and Hydrochloric Acid Leaching of Rare Earth Elements in Discard Coal and Coal Fly Ash
Authors: van Wyk Petrie , Bradshaw Steven , Dorfling Christie , Ghosh Tathagata , Akdogan Guven
Published: October 2024

Rare earth elements (REEs) have been identified as valuable and critical raw materials, vital for numerous technologies and applications. With the increasing demand for and supply gap in REEs, many research studies have focused on alternative sources of REEs. This study involved an elemental and mineralogical characterisation of discarded coal from a coal plant and coal fly ash (CFA) from a power station in South Africa for REE presence. XRD results revealed that the discard coal sample consisted mainly of kaolinite, pyrite, siderite, quartz, calcite, gypsum, and muscovite, whereas CFA contained abundant glassy amorphous phases, alumina silicates, quartz, gypsum, calcite, and minute levels of muscovite and hematite. SEM-EDAX showed REE-carrying grains containing phosphorus in both discard coal and CFA samples. This was followed by investigating the leaching potential of REEs using hydrochloric acid from discard coal and CFA. This research’s potential impact is possibly providing a new and sustainable source of REEs. For that purpose, multiple batch leaching tests were performed to investigate the effects of temperature and acid concentration on the leaching efficiencies of REEs from discard coal and CFA. The experimental results indicated that temperature strongly influences REE leaching efficiency, while acid concentration has a lesser impact. This study identifies the best leaching conditions for the total REE recovery as 1 M HCl and 80 °C for discard coal and CFA.
Eight Conditions That Will Change Mining Work in Mining 4.0
Authors: Lööw Joel , Johansson Jan
Published: October 2024

The mining industry is undergoing a transformation driven by the adoption of Industry 4.0 technologies, implementing autonomous trucks, drones, positions systems, and similar technologies. This article, drawing on experiences and observations from several studies conducted in the mining industry, explores the impact of these technologies on mining work. It identifies eight key potential changes in working conditions. Firstly, routine and dangerous tasks are increasingly automated, reducing physical strain but potentially leading to job displacement and increased maintenance demands. Secondly, operators and managers are shifting toward handling disturbances and training algorithms, as AI takes over decision-making processes. Thirdly, managers are responsible for more capital with fewer people, potentially altering managerial roles and spans of control. Fourthly, the global connectivity of operations makes the world both larger and smaller, with a universal language blurring boundaries. Fifthly, work becomes location-independent, allowing for remote operation and management. Sixthly, the distinction between work and private life blurs, with increased availability expected from operators and managers. Seventhly, technology expands human senses, providing real-time data and situational awareness. Eighthly and lastly, the pervasive collection and retention of data create a scenario where one’s history is inescapable, raising concerns about data ownership and privacy. These changes necessitate a strategic response from the mining industry to ensure socially sustainable technology development and to attract a future workforce.
Elucidating Rheological Properties of Cementitious Materials Containing Fly Ash and Nanosilica by Machine Learning
Authors: Tian Ankang , Gu Yue , Wei Zhenhua , Miao Jianxiong , Liu Xiaoyan , Jiang Linhua
Published: October 2024

Researching the rheology contributes to enhancing the physical and mechanical properties of concrete and promoting material sustainability. Despite the challenges posed by numerous factors influencing viscosity, leveraging machine learning in the era of big data emerges as a viable solution for predicting the general properties of construction materials. This study aims to create models to forecast the rheological properties of cementitious materials containing fly ash and nanosilica. Four models—Random Forest, XGBoost, ANN, and RNN (Stacked LSTM)—are employed to predict and assess shear rate versus shear stress and shear rate versus apparent viscosity curves. Through hyperparameter adjustments, RNN (Stacked LSTM) exhibits excellent performance, achieving a coefficient of determination (R2) of 0.9582 and 0.9257 for the two curves, demonstrating superior statistical parameters and fitting effects. The RNN (Stacked LSTM) exhibited a better generalization ability, suggesting it will be more reliable for future prediction in cementitious material viscosity.
Fabrication of Anthocyanidin-Encapsulated Polyvinyl Alcohol Nanofibrous Membrane for Smart Packaging
Authors: Aldoghaim Maryam , Alkorbi Jabrah , Al-Qahtani Salhah D. , Al-Senani Ghadah M.
Published: October 2024

Smart colorimetric packaging has been an important method to protect human health from external hazardous agents. However, the currently available colorimetric detectors use synthetic dye probes, which are costly, toxic, difficult to prepare, and non-biodegradable. Herein, an environmentally friendly cellulose nanocrystal (CNC)-supported polyvinyl alcohol (PVA) nanofibrous membrane was developed for the colorimetric monitoring of food spoilage. Anthocyanidin (ACY) is a naturally occurring spectroscopic probe that was isolated from pomegranate (Punica granatum L.). By encapsulating the anthocyanin probe in electrospun polyvinyl alcohol fibers in the presence of a mordant (M), M/ACY nanoparticles were generated. After exposure to rotten shrimp, an investigation on the colorimetric changes from purple to green for the smart nanofibrous fabric was conducted using the coloration parameters and absorbance spectra. In response to increasing the length of exposure to rotten shrimp, the absorption spectra of the anthocyanin-encapsulated nanofibrous membrane showed a wavelength blueshift from 580 nm to 412 nm. CNC displayed a diameter of 12–17 nm. The nanoparticle diameter of M/ACY was monitored in the range of 8–13 nm, and the nanofiber diameter was shown in the range of 70–135 nm. Slight changes in comfort properties were monitored after encapsulating M/ACY in the nanofibrous fabric.
Effects of Caffeinated Chewing Gum on Exercise Performance and Physiological Responses: A Systematic Review
Authors: Yang Chia-Cheng , Hsieh Meng-Hung , Ho Chien-Chang , Chang Ya-Hui , Shiu Yi-Jie
Published: October 2024

Background: Caffeine intake in the form of chewing gum is characterized by rapid absorption and utilization. Objectives: The purpose of this study was to investigate the effects of caffeinated chewing gum on exercise performance and physiological responses in a systematic review. Methods: All articles were searched using the PubMed and Scopus databases to include articles published up to June 2024, following the Preferred Reporting Items for Systematic Evaluation and Meta-Analysis (PRISMA) protocol. Results: Thirty-two studies were finally included. Most studies have found that pre-exercise caffeinated chewing gum supplementation is effective in improving endurance, repetitive sprinting, lower limb strength, and sport-specific performance, as well as lowering rating of perceived exertion (RPE) or fatigue index even with lower dosages of caffeine. Sympathetic activation may be one of the mechanisms by which caffeinated chewing gum affects athletic performance. No significant effect on energy metabolism indicators (blood glucose, blood lactate, free fatty acids) was found. In addition, two studies found that caffeinated chewing gum reduced or maintained cortisol levels and increased testosterone levels. However, caffeinated chewing gum intake does not have an impact on catecholamines and β-endorphins. There have been inconsistent results for explosive performance, agility performance, and pain perception. Only a few studies have examined balance performance. In conclusion, a low dose of caffeine (100–300 mg or 2–4 mg/kg) in the form of chewing gum is rapidly absorbed and utilized, positively impacting most exercise and physiological performance. Conclusions: Future studies should also consider the performance variables of agility, pain perception, and explosive performance to gain a more comprehensive understanding of the effects of caffeinated chewing gum on sympathetic activation and exercise performance.
High-Flow Oscillatory Ventilation: A Possible Therapeutic Option for Pediatric Patients with Cardiovascular Diseases
Authors: Scollo Stefano , La Via Luigi , Pavone Piero , Piastra Marco , Conti Giorgio , Minardi Carmelo
Published: October 2024

High-flow oscillatory ventilation (HFOV) is a common rescue treatment in infants and children with respiratory failure. This type of ventilation is an effective technique in numerous diseases that affect a child in the postnatal period, such as ARDS, meconium aspiration syndrome (MIS), postnatal pulmonary bleeding and idiopathic pulmonary hypertension (IPH). Although this ventilation technique is commonly recognized as a valuable therapeutic option in the general pediatric population, this is not the same for children with congenital cardiovascular diseases. The key mechanism of oscillatory ventilation is continuous positive pressure administered within the airways via a small tidal volume at high frequency. Tidal volumes are between 1 and 3 mL/kg delivered at 5–15 Hz, equivalent to 300–900 breaths per minute. A few older studies conducted on humans and animals highlight that HFOV may be dangerous for congenital heart patients. According to these evidences, hemodynamic parameters such as blood pressure, wedge pressure, central venous pressure, heart rate and inotrope level can be dangerously changed for patients with congenital heart disease; therefore, oscillatory ventilation should be avoided. Numerous retrospective studies have pointed out how oscillatory ventilation constitutes a valid therapeutic option in children with congenital heart disease. Recently, new evidences have highlighted how hemodynamic parameters are modified in a non-significant way by this type of ventilation, remaining beneficial as in the normal pediatric population. This narrative review aims to describe the mechanisms of oscillatory ventilation and collect all the available evidences to support its use in pediatric patients with congenital heart problems.
Perceived Changes in Anxiety Symptom Burden During Treatment with Bryophyllum pinnatum: A Prospective, Single-Arm Study
Authors: Huber Tiffany , Krüerke Daniel , Haeck Timotheus , Weber Markus , Kröz Matthias , Schlemmer Markus , Simões-Wüst Ana Paula
Published: October 2024

Background/Objectives: Bryophyllum spp. preparations are widely used in Anthroposophic Medicine, most often for mental and behavioral disorders, including anxiety. Studies in animals revealed various anxiolytic and neurosedative effects for Bryophyllum pinnatum. We set out to investigate the effectiveness of Bryophyllum 50% chewable tablets, a product registered without indication by means of notification in Switzerland, in the treatment of anxiety symptoms in psychiatric and psychosomatic patients. Methods: A total of 99 patients with anxiety symptoms were recruited from the waiting list for an inpatient stay at the hospital “Klinik Arlesheim”, Department of Psychiatry and Psychosomatics; of these, 54 completed the study and returned fully completed questionnaires. Patients were treated with Bryophyllum 50% chewable tablets (350 mg tablets, made from leaf press juice, 3 × 2 per day; Weleda AG Arlesheim, Switzerland) and filled out questionnaires at baseline and after two and three weeks of tablet intake. The primary endpoint of the study was the change in anxiety symptoms measured with the Beck Anxiety Inventory (BAI). Results: A clinically relevant decrease in BAI score from baseline (27.4 ± 12.0) to after two (22.4 ± 12.1; p < 0.001) and three (20.6 ± 12.9; p < 0.001) weeks of treatment was observed. Additional improvements were observed in the secondary endpoints (including in depression, sleep quality, and stress); tolerability and compliance were very good. Conclusions: The results suggest that Bryophyllum 50% chewable tablets have beneficial effects on anxiety-related symptoms. Since the study design does not allow us to conclude causality between treatment and observed improvements, a randomized clinical trial is urgently needed.
Recent Advances on the Regulations of Organic Anion Transporters
Authors: Yu Zhou , You Guofeng
Published: October 2024

The organic anion transporter (OAT) family of over 10 members within the solute carrier (SLC) superfamily of membrane proteins plays critical roles in facilitating the flux of negatively charged molecules in and out of cell membranes. These anionic molecules include various endogenous and exogenous compounds such as signaling molecules, nutrients, metabolites, toxins, and drugs. Therefore, OATs actively contribute to the systemic homeostasis and efficacy of therapeutics. This article provides a brief overview on recent advances in the understanding of the regulatory mechanisms that control the expression and activity of OATs in both health and diseases.
Theranostic Potential of the iPSMA-Bombesin Radioligand in Patients with Metastatic Prostate Cancer: A Pilot Study
Authors: González-Rueda Sofía , García-Pérez Osvaldo , Luna-Gutiérrez Myrna , Ocampo-García Blanca , Santos-Cuevas Clara , Ramírez-Nava Gerardo , Vargas-Ahumada Joel , Azorín-Vega Erika , Ferro-Flores Guillermina , Meléndez-Alafort Laura
Published: October 2024

Background/Objectives: Prostate cancer (PC) represents the second most diagnosed form of cancer in men on a global scale. Despite the theranostic efficacy of prostate-specific membrane antigen (PSMA) radioligands, there is a spectrum of PC disease in which PSMA expression is low or absent. The gastrin-releasing peptide receptor (GRPR), also known as the bombesin type 2 receptor, has been identified as a target in both the early and advanced stages of PC. The objective of this study was to prepare and preclinically evaluate [99mTc]Tc-iPSMA-Bombesin ([99mTc]Tc-iPSMA-BN), estimate dosimetry in healthy subjects, and assess the diagnostic efficacy of the radiotracer in patients with metastatic PC, with the hypothesis of non-inferiority to one of the gold standards, [18F]-PSMA-1007. Moreover, the potential of [99mTc]Tc-iPSMA-BN as a theranostic pair with [177Lu]Lu-iPSMA-BN was investigated. Methods: [99mTc]Tc-iPSMA-BN was prepared under GMP conditions with radiochemical purities > 95%, showing specific recognition by PSMA and GRP receptors in prostate cancer cells and mice bearing PC tumors. Six healthy volunteers were enrolled, and [99mTc]Tc-iPSMA-BN SPECT/CT imaging (740 MBq) was performed to estimate the dosimetry. The pilot clinical study included seven mCRPC and four mCSPC patients with prior androgen deprivation therapy. All patients had a recent [18F]-PSMA-PET/CT scan and were enrolled in this prospective study on their own signed behalf. Volumetric lesion target-to-background ratios (TBRs) were obtained from PET/CT and SPECT/CT images. Results: [99mTc]Tc-iPSMA-BN effective radiation dose was 1.94 ± 0.39 mSv/740 MBq. A total of 178 lesions were detected via CT, 162 via [18F]-PSMA-1007 PET, and 155 via [99mTc]Tc-iPSMA-BN SPECT. Three patients with mCRPC had higher TBR values on SPECT than on PET. [99mTc]Tc-iPSMA-BN appears to have better lesion detection in patients with aggressive histologic transformation. Two-way ANOVA analysis revealed a significant difference in TBR values between patients with mCRPC and mCSPC (p < 0.05) but no difference between [18F]-PSMA-1007 and [99mTc]Tc-iPSMA-BN (p > 0.05). In one patient, [177Lu]Lu-iPSMA-BN showed a high correlation with [99mTc]Tc-iPSMA-BN for lesions that concentrated radioactivity. Conclusions: [99mTc]Tc-iPSMA-BN SPECT/CT is a promising alternative not only for diagnostic purposes but also for broadening the spectrum of PC patients who may benefit from radionuclide theranostics. The results justify the development of a clinical trial involving a significant number of patients with PC.
From Bricks to Bytes: Transforming Real Estate into the Core Platform of the Digital Ecosystem
Authors: Özdilek Ünsal
Published: October 2024

The traditional concept of real estate, rooted in physical attributes—including land, buildings, and infrastructure—has undergone significant transformation in the digital age. This paper repositions real estate as a foundational platform within the broader digital ecosystem, serving as an integrative node that connects various digital platforms. By examining processes such as informatization, servicization, automatization, e-spatialization, dematerialization, and humanization, this study demonstrates how these elements collectively embed economic, social, and environmental value states into the digital framework of real estate. Leveraging advanced technologies and interdisciplinary methodologies, this paper constructs a comprehensive framework for understanding real estate’s digital evolution. The findings highlight real estate’s pivotal role in providing essential spatial and digital infrastructure that support the integration and operation of other platforms. It contributes to the discourse on platformization by offering a new model for understanding and utilizing real estate in a digitally driven society while proposing strategies crucial for its successful implementation in the ongoing digital transformation.
Shear Bond Strength in Stone-Clad Façades: Effect of Polypropylene Fibers, Curing, and Mechanical Anchorage
Authors: Shafaie Vahid , Ghodousian Oveys , Ghodousian Amin , Gorji Mohammad , Mehdikhani Hossein , Movahedi Rad Majid
Published: October 2024

This study investigates the shear bond strength between four widely used façade stones—travertine, granite, marble, and crystalline marble—and concrete substrates, with a particular focus on the role of polypropylene fibers in adhesive mortars. The research evaluates the effects of curing duration, fiber dosage, and mechanical anchorage on bond strength. Results demonstrate that Z-type anchorage provided the highest bond strength, followed by butterfly-type and wire tie systems. Extended curing had a significant impact on bond strength for specimens without anchorage, particularly for travertine. The incorporation of polypropylene fibers at 0.2% volume in adhesive mortar yielded the strongest bond, although lower and higher dosages also positively impacted the bonding. Furthermore, the study introduces a novel fuzzy logic model using the Dombi family of t-norms, which outperformed linear regression in predicting bond strength, achieving an R2 of up to 0.9584. This research emphasizes the importance of optimizing fiber dosage in adhesive mortars. It proposes an advanced predictive model that could enhance the design and safety of stone-clad façades, offering valuable insights for future applications in construction materials.