bluuebunny/crossref_metadata_2025 huggingface dataset:
How Food Consumption Trends Change the Direction of Sheep Breeding in China
Authors: Wang Xiaoyu , Shen Wei , Wu Pan , Wang Chengli , Li Jiahua , Wang Di , Yue Wanfu
Published: October 2024

This paper discusses how food consumption trends have influenced the direction of sheep and goat breeding, particularly concerning the shift in sheep and goat farming and the development of the Hu sheep industry in China. Historically, sheep have been bred primarily for wool production, but with the increased demand for meat, the breeding direction has begun to shift toward meat use. As a major producer and consumer of mutton and goat meat, there is room for development of the meat sheep industry in China. In this paper, we review the development of China’s sheep breeding industry before and after the reform and the change in breeding objectives through examples, summarize the factors causing breeding changes in China’s sheep breeding industry, introduce the breeding achievements of the Hu sheep after its shift to meat use, analyze the reasons as to why this breed was selected by a vast number of farmers, and reveal the current decisive traits in the development of the meat sheep industry. This article also shows the improvement in Chinese people’s consumption abilities and the change from sheep breeding to consumption, providing China’s development experience as an example for today’s regions lagging in the global livestock industry. Breeding to respond positively to changes in the economy can better cater to the consumer food market.
Fecal Bile Acids in Canine Chronic Liver Disease: Results from 46 Dogs
Authors: Habermaass Verena , Bartoli Francesco , Gori Eleonora , Dini Rebecca , Cogozzo Aurora , Puccinelli Caterina , Pierini Alessio , Marchetti Veronica
Published: October 2024

The concentrations of fecal and serum bile acids (BAs) are known to be altered in human patients with chronic liver diseases (CLDs), especially those with biliary tract involvement (BTD). Scarce literature is available regarding fecal BA modifications during canine CLDs. This study aimed to evaluate fecal BAs in canine CLDs according to different clinical and clinicopathological variables. Forty-six dogs were enrolled. Canine feces were analyzed by HPLC. Cholic Acid (CA), Chenodeoxycholic Acid (CDCA), Ursodeoxycholic Acid (UDCA), Deoxycholic Acid (DCA), and Lithocholic Acid (LCA) were measured, and primary BAs (CA + CDCA), secondary BAs (UDCA + DCA + LCA), and the primary/secondary (P/S) ratio were calculated. Primary BAs (p < 0.0001), CA (p = 0.0003), CDCA (p = 0.003), the P/S ratio (p = 0.002), and total BAs (p = 0.005) were significatively higher in BTD dogs (n = 18) compared to in non-BTD dogs (n = 28). Fecal secondary BAs did not statistically differ between BTD and non-BTD dogs. Gastrointestinal clinical signs (p = 0.028) and diarrhea (p = 0.03) were significantly more prevalent in BTD dogs compared to in non-BTD dogs, supporting the hypothesis of some pathological mechanisms assimilable to bile acid diarrhea (BAD). Our results could reflect imbalances of the fecal BA metabolism in dogs with CLDs. Further studies involving gut microbiome and metabolomic assessment are needed to better understand the possible clinical implications of BA metabolism disruption and their potential role in canine CLDs.
Pharmacokinetics of Vancomycin in Healthy Korean Volunteers and Monte Carlo Simulations to Explore Optimal Dosage Regimens in Patients with Normal Renal Function
Authors: Kim Yong , Kim Doy , Kang Gaeun , Zang Dae , Lee Dong-Hwan
Published: October 2024

Background/Objectives: To date, population pharmacokinetic (PK) studies of vancomycin on healthy Korean adults have not been conducted. This study aimed to investigate the PK properties of vancomycin in healthy volunteers and to identify optimal dosing regimens based on the area under the concentration–time curve (AUC) in adult patients with normal renal function. Methods: We conducted a prospective clinical study, analysing PK samples from 12 healthy participants using noncompartmental analysis and non-linear mixed-effects modelling. The population PK parameters derived were employed in Monte Carlo simulations to evaluate the adequacy of the current dosing regimen and to formulate dosing recommendations. Results: The PK profiles were optimally described by a two-compartment model, with body weight and age as significant covariates affecting total clearance. The simulations indicated that to achieve a therapeutic target—defined as an AUC at steady-state over 24 h of 400–600 mg·h/L—daily doses ranging from 60 to 70 mg/kg are necessary in adults with normal renal function. Conclusions: This study underscores the need to actively adjust dosage and administration based on a vancomycin PK model that adequately reflects the demographic characteristics of patients to meet both safety and efficacy standards.
Resilience of Loin Meat Microbiota and of Resistance Genes to a Chlortetracycline Treatment in Weaned Piglets
Authors: Monger Xavier C. , Saucier Linda , Gilbert Alex-An , Gosselin Sophie , Pouliot Éric , Fournaise Sylvain , Vincent Antony T.
Published: October 2024

Objectives: This project studied the impact of a chlortetracycline treatment in weaning piglets on the taxonomy and antibiotic resistance gene (ARG) content of the microbiomes on carcasses and loins. Methods: Two groups of piglets from two farrowing barns with either an average or a lower sanitary health status were used. Each group was divided in half: a control group and a treatment group receiving feed supplemented with 660 g of chlortetracycline per tonne for 21 days. The piglets then went through fattening and were sent to the abattoir when they reached the targeted slaughter weight. Results: The microbiomes of the pig carcasses and loins were sampled, and DNA was extracted and sequenced with a whole-genome approach. The microbiomes of the carcasses differed depending on the farrowing barn source in both taxonomical composition and ARG content; however, the microbiomes on the loins were similar, regardless of the farrowing barn source and the treatment group. Conclusions: While there were differences in the carcass microbiomes between treatments after processing by the abattoir, the loin microbiomes were consistent and unaffected by treatment with chlortetracycline or the sanitary status of the farrowing barn.
Mission Reliability Modeling and Analysis Methods for Reconfigurable Ship Electronic Information Systems
Authors: Fang Xiaotong , Wang Xuan , Feng Lingling , Zuo Jiapeng , Liu Shulin
Published: October 2024

With the increasing intensity of ship missions, the mission reliability requirements of various ship systems are getting higher. Especially the new reconfigurable ship electronic information systems, which have the characteristics of resource sharing and reuse, function reconfiguration on demand, software and hardware loose coupling, and business integration, etc., is difficult to be taken into account by traditional reliability design and analysis methods. Therefore, it is imperative to design a reliability modeling and analysis method with careful consideration and strong applicability. Taking the new reconfigurable ship electronic information system as the research subject, this paper firstly adopts the architecture analysis and design language (AADL) to establish a reliability model from three perspectives, namely, system structure, system behavior, and failure impact; then, a model of mission reliability allocation under multiple constraints is developed and solved using the hybrid algorithm of Slime Mode Optimization Differential Evolution (SMA-DE) based on the optimal allocation model of reliability; next, a method for analyzing the mission reliability of ship electronic information systems based on the Goal Oriented (GO) method is proposed, and based on the state probability algorithm therein, a correction algorithm oriented to the co-causal failure modes is derived to realize the quantitative calculation of the mission reliability of ship electronic information systems; finally, an application validation was performed in conjunction with a typical ship electronic information system task. The results show that the method proposed in this study can successfully achieve the mission reliability allocation as well as quantitative analysis of reconfigurable ship electronic information systems under multi-mission requirements.
Impact of Combined Exercise and High-Intensity Interval Training on 6-Minute Walk Test Dynamics in Heart Failure Patients with Preserved Ejection Fraction: Results from the ExIC-FEp Trial
Authors: Cavero-Redondo Iván , Martínez-Rodrigo Arturo , Otero-Luis Iris , Moreno-Herraiz Nerea , Fenoll-Morante Marta , Martínez-García Irene , Guzmán-Pavón María José , Saz-Lara Alicia
Published: October 2024

(1) Background: Heart failure with preserved ejection fraction (HFpEF) is a clinical challenge, with limited success from current therapeutic strategies. This study aimed to assess the impact of combined exercise (CE) and high-intensity interval training (HIIT) on key biomechanical parameters during the 6-minute walk test (6MWT) in HFpEF patients. (2) Methods: A randomized controlled trial was conducted in 76 sedentary HFpEF patients, divided into three groups as follows: the CE, HIIT, and control groups. CE involves aerobic and strength training, whereas HIIT includes high-intensity intervals. Cadence (steps per minute), distance, maximum heart rate (HRmax), and exercise intensity were measured pre- and postintervention. (3) Results: The results revealed significant improvements in cadence in the CE group compared with the control group (p = 0.009) for intention-to-treat analysis, and in the control and HIIT groups (p = 0.002) for per-protocol analysis. CE also significantly improved HRmax and exercise intensity, suggesting an enhanced cardiovascular response. In contrast, HIIT did not significantly affect these parameters. The correlation between cadence and distance covered during the 6MWT was strong in the overall group (r = 0.762, p < 0.001). (4) Conclusions: These findings suggest that CE is an effective intervention to improve gait efficiency, cardiovascular response, and functional capacity in HFpEF patients, whereas HIIT may require further investigation in this population.
Intelligent Diagnosis of Bearing Failures Based on Recurrence Quantification and Energy Difference
Authors: Wang Mukai , Wang Tianfeng , Lu Duhui , Cui Shuhui
Published: October 2024

Bearing health is key for maintaining good performance and safety in rotating machinery. As the diagnosis of mechanical faults develops toward intelligence and automation, accurate and systematic fault diagnosis algorithms are imperative. Focusing on the diagnosis of rolling bearing failures, this study utilizes a sliding time window to extract essential data segments. A series of signal processing techniques, including filtering, amplitude–frequency analysis, Hilbert envelope analysis, and energy analysis, is applied to establish a comprehensive dataset. For extraction of the hidden properties of the data, the recurrence quantity spectrum is defined for the input of the neural network. The goal is to obtain a cleaner dataset with enhanced features. A convolution neural network is constructed. Different activation functions in the activation layer are compared for better fault diagnosis algorithms. The established feature matrices are specifically defined to accurately identify the subtlest defects of bearings, thereby facilitating early detection. The proposed procedure distinguishes various fault modes. As for the multidimensional complexities of fault signals, this study carries out a comprehensive comparison of energies, recurrence quantification, and amplitude–frequency characteristics of bearing fault detection to assess the accuracy, computational efficiency, and robustness of bearing fault diagnosis. The proposed method and bearing fault detection procedures have potential in practical applications.
Gait Analysis of Elderly and Young People Based on Joint Angles and Positions
Authors: Saga Mizuki , Saga Norihiko
Published: October 2024

For the elderly, the motor function of walking is significant for the maintenance and improvement of their quality of life (QOL). Walking patterns have been postulated to be associated with a decline in walking ability. The objective of this study was to develop a wearable sensor that can capture changes in walking ability in daily life. To this end, motion capture was employed to measure the lower limb joint angles and the trajectories of the lower limbs and knees for each subject while walking at a normal walking speed and to compare the results between elderly and young patients. The differences in walking patterns between the elderly and young patients were analyzed in terms of elevation angles, and an index was calculated to capture changes during walking based on elevation angles and trajectories.
Integration of Artificial Intelligence and Robotic Process Automation: Literature Review and Proposal for a Sustainable Model
Authors: Patrício Leonel , Varela Leonilde , Silveira Zilda
Published: October 2024

This article investigates the growing integration between Artificial Intelligence (AI) and Robotic Process Automation (RPA), proposing an innovative model aimed at optimizing the operational efficiency of organizations balancing the social and environmental impacts arising from the use of these technologies. The research identifies a significant gap in the literature through a systematic review, revealing the need for greater attention to the social and environmental impacts of the implementation of AI and RPA. Employing an approach based on the PICO methodology (Population, Intervention, Comparison, Outcome), this study justifies the formulation of hypotheses and the choice of methodology, ensuring scientific rigor. The proposed model considers ethical issues such as privacy and cybersecurity and explores the challenges associated with the adoption of these innovations. The discussion includes the readiness of organizations to integrate these technologies, highlighting technical and cultural limitations that may influence the model’s effectiveness. The theoretical results suggest that careful implementation can optimize resource utilization, promoting a balance between operational efficiency and social and environmental responsibility. Furthermore, the article presents an analysis of the positive impacts, such as improved efficiency, and negative impacts, such as the fear of job displacement associated with the integration of AI and RPA, reinforcing the need for responsible adoption that fosters social and environmental sustainability in the digital age.
Emission Factors for Biochar Production from Various Biomass Types in Flame Curtain Kilns
Authors: Cornelissen Gerard , Makate Clifton , Mulder Jan , Janssen Jente , Trimarco Jon , Obia Alfred , Martinsen Vegard , Sørmo Erlend
Published: October 2024

Simple and low-cost flame curtain (“Kon-Tiki”) kilns are currently the preferred biochar technology for smallholder farmers in the tropics. While gas and aerosol emissions have been documented for woody feedstocks (twigs and leaves) with varying moisture contents, there is a lack of data on emissions from other types of feedstocks. This study aims to document the gas and aerosol emissions for common non-woody feedstocks and to compare emissions from finely grained, high-lignin feedstock (coffee husk) with those from coarser, low-lignin feedstocks (maize cobs, grass, sesame stems). Throughout each pyrolysis cycle, all carbon-containing gases and NOx were monitored using hand-held sensitive instruments equipped with internal pumps. Carbon balances were used to establish emission factors in grams per kilogram of biochar. The resulting methane emissions were nearly zero (<5.5 g/kg biochar) for the pyrolysis of three dry (~10% moisture) maize cobs, grass, and a 1:1 mixture of grass and woody twigs. For sesame stems, methane was detected in only two distinct spikes during the pyrolysis cycle. Carbon monoxide (CO) and aerosol (Total Suspended Particles, TSP) emissions were recorded at levels similar to earlier data for dry twigs, while nitrogen oxide (NOx) emissions were negligible. In contrast, the pyrolysis of finely grained coffee husks generated significant methane and aerosol emissions, indicating that technologies other than flame curtain kilns are more suitable for finely grained feedstocks. The emission results from this study suggest that certification of biochar made from dry maize, sesame, and grass biomass using low-tech pyrolysis should be encouraged. Meanwhile, more advanced systems with syngas combustion are needed to sufficiently reduce CO, CH4, and aerosol emissions for the pyrolysis of finely grained biomasses such as rice, coffee, and nut husks. The reported data should aid overarching life-cycle analyses of the integration of biochar practice in climate-smart agriculture and facilitate carbon credit certification for tropical smallholders.
Fermentative and Enological Features of Saccharomyces cerevisiae Populations Generated Through Adaptive Laboratory Evolution
Authors: Mavrommati Maria , Christofi Stefania , Kallithraka Stamatina , Papanikolaou Seraphim , Aggelis George
Published: October 2024

Adaptive laboratory evolution (ALE) is a non-GMO technique utilized for the amelioration of wine yeast strains. Employing two-step ALE strategies, we recently acquired six evolved Saccharomyces cerevisiae populations with improved fermentative abilities compared to their parental strains in synthetic broths. Herein, we evaluated the qualities of the abovementioned evolved populations under real winemaking conditions, using the grape musts Assyrtiko and Roditis. The ethanol-tolerant populations evolved solely with glucose delayed to complete the fermentation due to slow fructose assimilation, albeit showing improved ethanol yields, compared to their parental strains. The volatile compounds of the evolved populations were significantly different from those of parental strains. Statistically significant differences were observed in the organoleptic profiles between the evolved populations’ and parental strains’ wines. Notably, wine from one evolved population (BLR200) was rated higher in overall aroma and quality. This study supports the magnitude of ALE strategies for the generation of novel wine yeasts.
Circulating Blood-Brain Barrier Proteins for Differentiating Ischaemic Stroke Patients from Stroke Mimics
Authors: Kakkar Pragati , Almusined Meaad , Kakkar Tarun , Munyombwe Theresa , Makawa Linetty , Kain Kirti , Hassan Ahamad , Saha Sikha
Published: October 2024

Background: Stroke is one of the leading causes of death and disability worldwide. The diagnosis of stroke remains largely clinical, yet widely used stroke scoring systems and brain imaging do not satisfactorily allow the distinction of ischaemic stroke (IS) patients from stroke mimics (SMs). Blood biomarkers are promising tools that could facilitate clinical triage. Methods: This study recruited 66 patients with IS and 24 SMs. The levels of Glial fibrillary acidic protein (GFAP), Neuron-specific enolase (NSE), Neurofilament light chain (NfL) and blood-brain barrier (BBB) proteins [Occludin (OCLN), Zonula occludens 1 (ZO-1), Claudin-5] in blood serum were measured by enzyme-linked immunosorbent assay technique. Biomarker levels in IS patients and SMs were compared using the Mann–Whitney U test. Multivariable logistic regression analysis was used to evaluate the diagnostic performance of biomarkers in combination with the National Institutes of Health Stroke Scale (NIHSS) score. Results: More significant differences in circulating GFAP, NfL, OCLN, ZO-1, and Claudin-5 but not NSE were found in IS patients compared to SMs. A combination of circulating ZO-1, Claudin-5, and OCLN with NIHSS score gives the highest diagnostic accuracy, sensitivity, and specificity. Conclusions: A prediction model with circulating BBB proteins in combination with NIHSS score differentiates between IS patients and SMs.
Animal Models of Human Pathology: Revision, Relevance and Refinements
Authors: Perše Martina
Published: October 2024

Animal Models of Human Pathology [...]
Early Metabolomic Profiling as a Predictor of Renal Function Six Months After Kidney Transplantation
Authors: Viejo-Boyano Iris , Roca-Marugán Marta Isabel , Peris-Fernández María , Amengual Julián Luis , Balaguer-Timor Ángel , Moreno-Espinosa Marta , Felipe-Barrera María , González-Calero Pablo , Espí-Reig Jordi , Ventura-Galiano Ana , Rodríguez-Ortega Diego , Ramos-Cebrián María , Beneyto-Castelló Isabel , Hernández-Jaras Julio
Published: October 2024

Background: Kidney transplantation is the therapy of choice for patients with advanced chronic kidney disease; however, predicting graft outcomes remains a significant challenge. Early identification of reliable biomarkers could enhance post-transplant management and improve long-term outcomes. This study aimed to identify metabolomic biomarkers within the first week after kidney transplantation that predict renal function at six months. Methods: We conducted a prospective study involving 50 adult patients who received deceased donor kidney transplants. Plasma samples collected one week after transplant were analyzed using liquid chromatography–mass spectrometry in a semi-targeted metabolomic approach. A Partial Least Squares-Discriminant Analysis (PLS-DA) model identified metabolites associated with serum creatinine > 1.5 mg/dL at six months. Metabolites were selected based on a Variable Importance in Projection (VIP) score > 1.5, which was used to optimize model performance. Results: The PLS-DA model demonstrated strong predictive performance with an area under the curve (AUC) of 0.958. The metabolites negatively associated with serum creatinine > 1.5 mg/dL were 3-methylindole, guaiacol, histidine, 3-indolepropionic acid, and α-lipoic acid. Conversely, the metabolites positively associated with worse kidney graft outcomes included homocarnosine, 5-methylcytosine, xanthosine, choline, phenylalanine, kynurenic acid, and L-kynurenine. Conclusions: Early metabolomic profiling after transplantation shows promise in predicting renal function. Identifying metabolites with antioxidant and anti-inflammatory properties, as well as those that are harmful and could be targeted therapeutically, underscores their potential clinical significance. The link between several metabolites and the tryptophan pathway suggests that further specific evaluation of this pathway is warranted. These biomarkers can enhance patient management and graft survival.
Photodynamic Therapy 2.0
Authors: Kang Kyungsu , Bacci Stefano
Published: October 2024

In 1903, Von Tappeiner and Jesionek [...]
A New Shear-Stress-Based Point-of-Care Technology for Evaluation of the Hemostatic Pattern in Whole Blood
Authors: Foladore Alessandro , Lattanzio Simone , Lombardi Elisabetta , Durante Cristina , Baryshnikova Ekaterina , Anguissola Martina , Rota Lidia , Ranucci Marco , Mazzucato Mario
Published: October 2024

The currently available point-of-care hemostasis tests are burdened by criticisms concerning the use of different activators and inhibitors and the lack of dynamic flow. These operating conditions may constitute an impediment to the determination of the patient’s hemostatic condition. Hence, the diffusion of these tests in clinical practice is still limited to specific scenarios. In this work, we present a new method for analyzing the patient’s global hemostasis based on the visualization of the main components of the coagulation process and its computerized quantitative image analysis. The automated “Smart Clot” point-of-care system presents a micro-fluidic chamber in which whole blood flows, without the addition of any activator or inhibitor. In this micro-channel, platelet adhesion, activation and aggregation to the type I collagen-coated surface take place (primary hemostasis), leading to the production of endogenous thrombin on the surface of platelet aggregates and the consequent fibrin mesh and thrombus formation (secondary hemostasis). These observations are verified by inhibiting primary hemostasis with the antiplatelet drugs Indomethacin (−70% on platelet aggregation, −60% on fibrin(ogen) formation) and Tirofiban (complete inhibition of platelet aggregation and fibrin(ogen) formation) and secondary hemostasis with the antithrombin drugs Heparin (−70% on platelet aggregation, −80% on fibrin(ogen) formation) and Lepirudin (−80% on platelet aggregation, −90% on fibrin(ogen) formation). Smart Clot, through a single test, provides quantitative results concerning platelet aggregation and fibrin formation and is suitable for undergoing comparative studies with other coagulation point-of-care devices.
Correction: Bourahmah et al. Error Function Optimization to Compare Neural Activity and Train Blended Rhythmic Networks. Brain Sci. 2024, 14, 468
Authors: Bourahmah Jassem , Sakurai Akira , Katz Paul S. , Shilnikov Andrey L.
Published: October 2024

Paul S. Katz was not included as an author in the original publication [...]
Conflict and Intimacy in Emerging Adults’ Romantic Relationships and Depressive Symptoms: The Mediating Role of Identity and Couple Satisfaction
Authors: Graziano Federica , Mastrokoukou Sofia , Cattelino Elena , Rollè Luca , Calandri Emanuela
Published: October 2024

Romantic relationships in emerging adulthood may be associated with depression, but the role of possible mediators of this relationship remains to be explored. The present study tested a serial mediation model where intimacy and conflict in romantic relationships were predictors of depressive symptoms through the mediation of couple satisfaction and identity satisfaction. The study was conducted on a sample of 268 Italian emerging adults, 60% female (Mage = 19, ds = 1.4), all involved in a heterosexual romantic relationship. The results showed that the association between intimacy and depressive symptoms was direct and sequentially mediated through couple satisfaction and identity satisfaction. A single mediation pathway through identity satisfaction alone also emerged. The association between conflict and depressive symptoms was direct and sequentially mediated through couple satisfaction and identity satisfaction. These findings suggest the importance of helping emerging adults develop appropriate skills in managing conflict and intimacy in romantic relationships as useful resources for identity satisfaction and depression prevention.
Multiscale Damage Identification Method of Beam-Type Structures Based on Node Curvature
Authors: Ye Kai , Zhang Shubi , Zhang Qiuzhao , Zhong Rumian , Wang Wenda
Published: October 2024

This paper proposes a multiscale damage identification method for beam-type structures based on node curvature. Firstly, based on the assumption that micro-damage has little effect on stress redistribution and the basic relationship between structural bending moment and curvature, combined with the denoising function of wavelet analysis, the linear matrix equation before and after node curvature damage is solved using the singular value decomposition (SVD) method. Then, the theoretical feasibility of this method is verified with laboratory tests of a simply supported beam. Finally, the damage sensitivity and noise resistance of this method are verified using field measurements of a beam bridge. The results show that the nodal curvature serves as an indicator parameter for damage identification in beam-type structures, enabling the precise localization of damage within these structures. When utilizing a multiscale finite element model for analysis, the nodal curvature enhances the ability to identify both the location and severity of damage within small-scale elements. Furthermore, this method can provide a reference for the damage identification and health monitoring of other types of bridges.
The Neglected Modern Architectural Heritage: Analysis of Housing Estates in the Second Half of the 20th Century from Izmir, Turkey, Case Study Area
Authors: Güler Nakıp Gizem , Żmudzińska-Nowak Magdalena , Ballice Gülnur
Published: October 2024

Twentieth-century housing estates are an important part of the architectural heritage of the modern age, reflecting not only the evolution of housing forms, but also the technological advances and sociocultural dynamics of the twentieth century. However, awareness of the value of this heritage is still insufficient, resulting in a lack of legal protection and numerous threats in the form of transformation and negligence. In this research, we present the problem using the example of modernist Turkish architecture. The settlements of Izmir, a cosmopolitan port city with a diverse socio-cultural fabric and rapidly developing housing architecture, are chosen as the subject of the study. The main objective of the study is to evaluate the state of conservation and the degree of transformation of the selected estates. The overall assessment of the maintenance of the legibility of urban layouts and the form of individual buildings shows that, despite the lack of systematic protection, it is possible to preserve the existing architectural heritage in the examples analyzed and to provide recommendations for future policies to sustain the heritage values of modernism. The research aims to fill the existing gaps in the discourse on modern housing and contribute to a broader international dialogue on the conservation of modern architecture. By including these estates in the ongoing discussion, we recognize their historical significance and promote their preservation as important participants in contemporary urban life.
Analysis of Volatile Organic Compound Emissions in 3D Printing: Implications for Indoor Air Quality
Authors: Garcia-Gonzalez Hector , Lopez-Pola Teresa , Fernandez-Rubio Pilar , Fernandez-Rodriguez Pablo
Published: October 2024

This study provides a comprehensive analysis of volatile organic compound (VOC) emissions in the context of 3D printing, a rapidly advancing technology that is transforming manufacturing processes. As the adoption of 3D printing grows, concerns regarding its potential impact on indoor air quality have emerged. This research addresses these concerns by investigating the risks associated with VOC emissions and proposing effective mitigation strategies. Using a robust methodology, filament and resin-based 3D printers were employed alongside VOC sampling equipment (Tenax tubes and personal pumps) to assess emissions. A detailed analysis of 49 VOCs revealed variable concentrations across different printing materials, with ethyl acetate being the dominant compound in resin printing and decanal in filament printing. While individual VOC levels were below 1% of occupational exposure limits, total VOC concentrations frequently exceeded the recommended indoor threshold of 200 µg/m3, particularly in resin-based processes. This raises concerns about the combined effects of multiple VOCs, some of which are known carcinogens. These findings underscore the need for further investigation into the cumulative health impacts of prolonged exposure to multiple VOCs. The study also emphasises the importance of accounting for both facility-specific conditions and material emissions to fully understand the environmental and health consequences of 3D printing. Preventative measures, such as enclosing 3D printers and equipping them with extraction systems, are recommended to safeguard user health.
Adjuvant Use of Pembrolizumab for Stage III Melanoma in a Real-World Setting in Europe
Authors: Weichenthal Michael , Mangana Joanna , Gavrilova Iva , Lugowska Iwona , Shalamanova Gergana Krumova , Kandolf Lidija , Chiarion-Sileni Vanna , Mohr Peter , Karanikolova Teodora Sotirova , Teterycz Pawel , Espinosa Enrique , Schnecko Philipp , Cheng Phil , Bender Marc , Jiang Shan , Burke Thomas , Ascierto Paolo Antonio , Gogas Helen , Rodas Ivan Marquez , Rutkowski Piotr , Schadendorf Dirk , Dummer Reinhard ,   for the EUMelaReg Consortium
Published: October 2024

Background: Although data on patients treated with pembrolizumab are available from clinical trials and single-country real-world reports, to our knowledge no multi-country real-world studies have investigated the use of pembrolizumab as an adjuvant treatment for stage III melanoma. Methods: We used the European Melanoma Registry (EUMelaReg), a disease entity-based registry specific for melanoma, to examine treatment and outcomes for adult patients with stage III melanoma with lymph node involvement who had complete resection and received adjuvant treatment with pembrolizumab. The primary objectives were to describe the demographic and clinical characteristics of the included patients as well as time on adjuvant pembrolizumab treatment (TOT), real-world recurrence-free survival (RFS) and distant metastasis-free survival (DMFS) from adjuvant pembrolizumab initiation. Secondary objectives were time to next treatment (TTNT) after adjuvant use of pembrolizumab, next-line therapy for stage III and unresectable stage IV melanoma and overall survival (OS) from initiation of pembrolizumab. Results: Patients were stratified according to age, sex, BRAF status, number of positive lymph nodes and disease substage. Median TOT was 11.1 (9.2–11.5) months, median RFS was 29.6 [18.7–not reached (NR)] months and median DMFS was 32.4 (22.7–NR) months. TTNT was 29.9 (22.2–NR) months, while median OS was not reached. Conclusions: The results of this study offer insights into the real-world use of pembrolizumab as an adjuvant therapy for melanoma in Europe.
Molecular Genetic Factors of Risk Stratification of Lymph Node Metastasis in Endometrial Carcinoma
Authors: Gilyadova Aida , Ishchenko Anton , Babayan Julietta , Avin Max , Sekacheva Marina , Reshetov Igor
Published: October 2024

Background: According to epidemiological studies, endometrial carcinoma is one of the most frequently diagnosed malignancies of the female reproductive system, with an increasing incidence. Currently, the risk stratification of this neoplasm takes into account the stage, degree of tumor differentiation, histological type and depth of myometrial invasion. Since the publication of the last International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial cancer in 2009, numerous reports have appeared on the molecular characteristics of different types of endometrial carcinoma. Taking this into account, the FIGO Committee determined in 2023 that changes and updates to the staging system are justified to reflect new information about this tumor. Due to the high prevalence of the disease and mortality from endometrial cancer, an in-depth study of the molecular genetic characteristics of tumor cells is relevant; the results of such studies can be used to improve the efficiency of diagnosis, assess the risk of metastasis and prognosis of the disease. Lymph node assessment is crucial for the choice of treatment strategy for endometrial cancer, since metastatic lymph node involvement is one of the main factors affecting prognosis. At the same time, the criteria for the appropriateness of lymphadenectomy in low-differentiated malignant tumors are not clearly defined. Various molecular methods have been proposed to assess the status of lymph nodes; candidate genes are being studied as potential diagnostic biomarkers, as well as microRNA. The aim of the study was to analyze the literature data on numerous studies of molecular risk factors for progression in endometrioid carcinoma, as well as to preserve the most important marker changes in relation to the prognostic development of this disease. Methods: A literature review was conducted using data from the electronic databases PubMed, Google Scholar, and Wiley Cochrane Library for the period from 2018 to 2023 using the specific keywords. Results: The current scientific genetic studies on metastasis and prognostic factors in uterine cancer were analyzed, and a systematization of the reviewed data from the modern literature was done. Conclusions: To select the most effective treatment - intraoperative, adjuvant or combination therapy, minimize postoperative risks of lymphadenectomy and clearly predict the results - further study of the molecular genetic features of endometrial cancer is necessary.
Solvent-Mediated Rate Deceleration of Diels–Alder Reactions for Enhanced Selectivity: Quantum Mechanical Insights
Authors: Rehman Umatur , Mansha Asim , Plasser Felix
Published: October 2024

Solvents can have a tremendous influence on the rate and selectivity of chemical reactions, but their effects are not always well accounted for. In the present work, density functional theory computations are used to investigate the influence of solvent on the Diels–Alder reactions of 9-methylanthracene with (5-oxo-2H-furan-2-yl) acetate and different anhydrides considering the overall reaction rates as well as selectivity between possible isomeric products. Crucially, we find that overall reaction rates are higher in non-polar toluene, whereas selectivity is enhanced in the polar solvent acetone. In the case of (5-oxo-2H-furan-2-yl) acetate, the difference in the reaction barriers is enhanced by 2.4 kJ/mol in acetone as compared to the gas phase, halving the yield of the side product. Similar results are found for the reaction of 9-methylanthracene with chloro-maleic anhydride and cyano-maleic anhydride, highlighting the generality of the trends observed. After presenting the energetics, a detailed discussion of the reactivity is given using electrostatic potentials, frontier orbitals, reactivity indices and Fukui functions. In summary, this study highlights the importance of solvent in influencing reaction rates and illustrates the possibility of studying its effects computationally.
Performance Evaluation of CMIP6 Climate Model Projections for Precipitation and Temperature in the Upper Blue Nile Basin, Ethiopia
Authors: Enyew Fekadie Bazie , Sahlu Dejene , Tarekegn Gashaw Bimrew , Hama Sarkawt , Debele Sisay E.
Published: October 2024

The projection and identification of historical and future changes in climatic systems is crucial. This study aims to assess the performance of CMIP6 climate models and projections of precipitation and temperature variables over the Upper Blue Nile Basin (UBNB), Northwestern Ethiopia. The bias in the CMIP6 model data was adjusted using data from meteorological stations. Additionally, this study uses daily CMIP6 precipitation and temperature data under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios for the near (2015–2044), mid (2045–2074), and far (2075–2100) periods. Power transformation and distribution mapping bias correction techniques were used to adjust biases in precipitation and temperature data from seven CMIP6 models. To validate the model data against observed data, statistical evaluation techniques were employed. Mann–Kendall (MK) and Sen’s slope estimator were also performed to identify trends and magnitudes of variations in rainfall and temperature, respectively. The performance evaluation revealed that the INM-CM5-0 and INM-CM4-8 models performed best for precipitation and temperature, respectively. The precipitation projections in all agro-climatic zones under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios show a significant (p < 0.01) positive trend. The mean annual maximum temperature over UBNB is estimated to increase by 1.8 °C, 2.1 °C, and 2.8 °C under SSP1-2.6, SSP2-4.5, and SSP5-8.5 between 2015 and 2100, respectively. Similarly, the mean annually minimum temperature is estimated to increase by 1.5 °C, 2.1 °C, and 3.1 °C under SSP1-2.6, SSP2-4.5, and SSP5-8.5, respectively. These significant changes in climate variables are anticipated to alter the incidence and severity of extremes. Hence, communities should adopt various adaptation practices to mitigate the effects of rising temperatures.
Timing Mechanisms for Circadian Seizures
Authors: Slabeva Kristina , Baud Maxime O.
Published: October 2024

For centuries, epileptic seizures have been noticed to recur with temporal regularity, suggesting that an underlying biological rhythm may play a crucial role in their timing. In this review, we propose to adopt the framework of chronobiology to study the circadian timing of seizures. We first review observations made on seizure timing in patients with epilepsy and animal models of the disorder. We then present the existing chronobiology paradigm to disentangle intertwined circadian and sleep–wake timing mechanisms. In the light of this framework, we review the existing evidence for specific timing mechanisms in specific epilepsy syndromes and highlight that current knowledge is far from sufficient. We propose that individual seizure chronotypes may result from an interplay between independent timing mechanisms. We conclude with a research agenda to help solve the urgency of ticking seizures.
An Improved Fick Model for Predicting Carbonation Depth of Concrete
Authors: Cao Hongfei , Xu Zhenjie , Peng Xi
Published: October 2024

Concrete carbonation can weaken its strength, cause the corrosion of steel reinforcement, and shorten its service life. Predicting the concrete carbonation depth is a critical aspect of assessing concrete durability. Currently, mathematical models for the concrete carbonation depth, exemplified by the Fick model, suffer from a low fitting accuracy and limited applicability due to the complexity and variability of concrete materials and service environments. In light of this, this work proposes an improved Fick model that incorporates a correction term to effectively enhance the curve fitting accuracy. The correction term in the improved model provides a reasonable adjustment for deviations in the development pattern of the concrete carbonation depth from the Fick model under different conditions, thereby broadening the applicability of the new model compared to the Fick model. Several sets of experimental data on the concrete carbonation depth are used to validate the universality and superiority of the new model. The results of the case studies indicate that the average prediction error and standard deviation of the new model are significantly smaller than those of the Fick model. For the first two examples, in most situations, the average prediction error and standard deviation of the new model are less than 50% of those of the Fick model, with the lowest average prediction error being only 4% and the lowest standard deviation being only 2% of the Fick model’s respective values. For the third example, the new model demonstrates superior predictive capability for the later-stage concrete carbonation depth compared to the Fick model and the ANN model. Specifically, for the carbonation depth of the concrete on the 56th day, the relative error between the predicted value of the new model and the measured value is only 2%, which is much smaller than the 27% of the Fick model and the 12% of the ANN model. These results demonstrate the unique advantage of the proposed model in predicting the carbonation depth, especially when only a limited amount of experimental data are available.
Fabrication of Cu-Infiltrated Journal Bearing by Binder Jetting Additive Manufacturing
Authors: Jang Jin Man
Published: October 2024

In this study, considering the economic feasibility of products that can be produced through the binder jetting additive manufacturing process, 316L stainless steel, a widely used material with a wide particle size ranging from 15 to 106 μm, was used. The lubrication effect was increased by internal patterning through design for additive manufacturing, and journal bearing parts with excellent load resistance and wear resistance were implemented by using wear-resistant Cu as an infiltration material. In addition, to investigate the amount of Cu infiltrated as a function of porosity, the parts were pre-sintered from 1423 K to 1573 K, and the best performance was obtained when Cu was infiltrated after pre-sintering at 1473 K. As a result of rig testing of Cu-infiltrated journal bearings, mechanical properties were obtained that were more than 50% improved compared to those of mass products.
Antibody–Drug Conjugates for the Treatment of Non-Small Cell Lung Cancer with Central Nervous System Metastases
Authors: Bian David J. H. , Cohen Sara F. , Lazaratos Anna-Maria , Bouganim Nathaniel , Dankner Matthew
Published: October 2024

Antibody–drug conjugates (ADCs) represent an emerging class of targeted anticancer agents that have demonstrated impressive efficacy in numerous cancer types. In non-small cell lung cancer (NSCLC), ADCs have become a component of the treatment armamentarium for a subset of patients with metastatic disease. Emerging data suggest that some ADCs exhibit impressive activity even in central nervous system (CNS) metastases, a disease site that is difficult to treat and associated with poor prognosis. Herein, we describe and summarize the existing evidence surrounding ADCs in NSCLC with a focus on CNS activity.
Exploring the Frequency and Risk Factors of Hyperprogressive Disease in Patients with Advanced Melanoma Treated with Immune Checkpoint Inhibitors
Authors: Acar Caner , Yüksel Haydar Çağatay , Şahin Gökhan , Açar Fatma Pinar , Karaca Burçak
Published: October 2024

Hyperprogressive disease (HPD) is described as the unexpected rapid growth of a tumour accompanied by a decline in performance status. While immune checkpoint inhibitors (ICIs) have improved outcomes in advanced melanoma, HPD remains a significant challenge in a subset of patients. Although HPD has been extensively studied in various solid tumours, research specifically focusing on advanced melanoma remains limited. We analysed 158 advanced melanoma patients, with 66.5% (n = 105) receiving anti-PD-1 and 33.5% (n = 53) receiving nivolumab plus ipilimumab. The median overall survival was 4.9 months for patients with HPD compared to 8.9 months for those with progressive disease without HPD (p = 0.014). Factors associated with HPD included liver metastasis (p = 0.002), three or more metastatic sites (p < 0.001), elevated lactate dehydrogenase levels (p = 0.004), and Eastern cooperative oncology group performance status ≥2 (p = 0.023). Multivariate analysis identified the Royal Marsden Hospital score (HR 3.675, 95% CI: 1.166–11.580, p = 0.026) as an independent risk factor for HPD, with the MDA-ICI score also trending towards significance (HR 4.466, 95% CI: 0.947–21.061, p = 0.059). This study provides valuable insights into the frequency and factors associated with HPD in advanced melanoma patients treated with ICIs, highlighting the relevance of clinical markers and scoring systems in predicting HPD risk.
Can Patient Characteristics and Pre-Treatment MRI Features Predict Survival After Stereotactic Ablative Radiotherapy (SABR) Treatment in Hepatocellular Carcinoma (HCC): Preliminary Assessment
Authors: Gravell Rachel , Frood Russell , Littlejohns Anna , Casanova Nathalie , Goody Rebecca , Podesta Christine , Albazaz Raneem , Scarsbrook Andrew
Published: October 2024

Background: The study purpose was to develop a machine learning (ML)-based predictive model for event-free survival (EFS) in patients with hepatocellular carcinoma (HCC) undergoing stereotactic ablative radiotherapy (SABR). Methods: Patients receiving SABR for HCC at a single institution, between 2017 and 2020, were included in the study. They were split into training and test (85%:15%) cohorts. Events of interest were HCC recurrence or death. Three ML models were trained, the features were selected, and the hyperparameters were tuned. The performance was measured using Harrell’s C index with the best-performing model being tested on the unseen cohort. Results: Overall, 41 patients were included (training = 34, test = 7) and 64 lesions were analysed (training = 50, test = 14), resulting in 30 events (60% rate) in the training set (death = 6, recurrence = 24) and 8 events (57% rate) in the test set (death = 5, recurrence = 3). A Cox regression model, using age at treatment, albumin, and intra-lesional fat identified through MRI as variables, had the best performance with a mean training score of 0.78 (standard deviation (SD) 0.02), a mean validation of 0.78 (SD 0.18), and a test score of 0.94. Conclusions: Predicting the outcomes in patients with HCC, following SABR, using a novel model is feasible and warrants further evaluation.