bluuebunny/crossref_metadata_2025 huggingface dataset:
A versatile real-time vision-led runway localisation system for enhanced autonomy
Authors: Tsapparellas Kyriacos , Jelev Nickolay , Waters Jonathon , Shrikhande Aditya M. , Brunswicker Sabine , Mihaylova Lyudmila S.
Published: December 2024

This paper proposes a solution to the challenging task of autonomously landing Unmanned Aerial Vehicles (UAVs). An onboard computer vision module integrates the vision system with the ground control communication and video server connection. The vision platform performs feature extraction using the Speeded Up Robust Features (SURF), followed by fast Structured Forests edge detection and then smoothing with a Kalman filter for accurate runway sidelines prediction. A thorough evaluation is performed over real-world and simulation environments with respect to accuracy and processing time, in comparison with state-of-the-art edge detection approaches. The vision system is validated over videos with clear and difficult weather conditions, including with fog, varying lighting conditions and crosswind landing. The experiments are performed using data from the X-Plane 11 flight simulator and real flight data from the Uncrewed Low-cost TRAnsport (ULTRA) self-flying cargo UAV. The vision-led system can localise the runway sidelines with a Structured Forests approach with an accuracy approximately 84.4%, outperforming the state-of-the-art approaches and delivering real-time performance. The main contribution of this work consists of the developed vision-led system for runway detection to aid autonomous landing of UAVs using electro-optical cameras. Although implemented with the ULTRA UAV, the vision-led system is applicable to any other UAV.
Considering future qualification for regulatory science in the early development of microphysiological systems: a case study of microthrombosis in a Vessel-on-Chip
Authors: Weener Huub J. , Middelkamp Heleen H. T. , Van der Meer Andries D.
Published: December 2024

Microphysiological systems (MPS) and Organs-on-Chips (OoCs) hold significant potential for replicating complex human biological processes in vitro. However, their widespread adoption by industry and regulatory bodies depends on effective qualification to demonstrate that these models are fit for purpose. Many models developed in academia are not initially designed with qualification in mind, which limits their future implementation in end-user settings. Here, we explore to which extent aspects of qualification can already be performed during early development stages of MPS and OoCs. Through a case study of our blood-perfused Vessel-on-Chip model, we emphasize key elements such as defining a clear context-of-use, establishing relevant readouts, ensuring model robustness, and addressing inherent limitations. By considering qualification early in development, researchers can streamline the progression of MPS and OoCs, facilitating their adoption in biomedical, pharmaceutical, and toxicological research. In addition, all in vitro methods must be independent of animal-derived materials to be considered fully fit for purpose. Ultimately, early qualification efforts can enhance the availability, reliability, and regulatory as well as ethical acceptance of these emerging New Approach Methodologies.
Preoperative skin asepsis in bovine surgery: an outcome-blinded 3-arm randomized clinical trial under non-sterile operating room conditions
Authors: Marchionatti Emma , Constant Caroline , Steiner Adrian
Published: December 2024

Background

Surgical site infections (SSI) following clean abdominal surgery in cattle pose significant economic and welfare concerns. Preoperative skin asepsis aims to minimize microbial load over the surgical field before and throughout surgery to minimize its risk. While chlorhexidine (CHX) and povidone-iodine (PVI) are commonly used antiseptics for this purpose, our study introduces the so far unexplored use of octenidine (OCT) in veterinary surgery.

Methods

We compared in a single-center, prospective, randomized, outcome-blinded, 3-arm trial the effectiveness of an OCT-based protocol to CHX- and PVI-based protocols. Cattle aged 2 years or older, needing a clean standing flank laparotomy (e.g., exploratory laparotomy, right flank omentopexy, left flank abomasopexy), were eligible. Exclusion criteria comprised skin abnormalities, recent antibiotic use, or debilitating conditions with systemic involvement or distant site infections. Patients were randomized 1:1:1 with concealed allocation using unique identifiers. Skin bacterial reduction (immediate [IRF] and delayed [DRF] reduction factors), SSI rate, and wound scores were evaluated. Wound scores were rated on a 0 to 6 scale, considering the presence and severity of discharge and swelling.

Results

Out of 373 assessed cattle, 126 were included and randomized: PVI (n = 42), CHX (n = 41), OCT (n = 43). All protocols significantly reduced bacterial counts, with PVI exhibiting lower IRF. No significant differences were observed in DRF. The summer season and duration of surgical procedures had a negative impact on IRF and DRF in all groups, respectively. Nine of 118 patients (7.6%) with complete follow-up developed SSI. Higher wound scores were associated with development of SSI. Wound scores ≥3 at day 10 postoperatively predicted SSI with high sensitivity and specificity. Microbial flora in SSI included typical skin bacteria and opportunistic pathogens.

Conclusion

All protocols met minimum FDA standards in reducing bacterial colonization. While limited by sample size and single-center design, this study confirms the OCT-based protocol as a valuable option for preoperative skin asepsis in clean abdominal bovine surgery.
Development of Slovenian linguistic terminology in grammars of Slovenian
Authors: Trojar Mitja
Published: December 2024

This article presents the main stages of the development of Slovenian linguistic (grammatical) terminology in Slovenian grammars. The overview covers the most prominent Slovenian grammars written in different metalanguages between 1584 and 2017, from Adam Bohorič’s first grammar of the Slovenian language Arcticatihorulae succisivae de Latinocarniolana Literatura (1584) to Kozma Ahačič’s most recent grammars Kratkoslovnica and Slovnica na kvadrat (2017). The outline is followed by the results of an analysis of the terms that denoted key grammatical concepts in the period 1768–1916, which demonstrated that most of the terms for the concepts in question had been stabilised by the end of the 19th century.
An Analysis of Direct Operating Costs for the Wright Spirit Electric Aircraft
Authors: Goodge Katie , Withey Paul
Published: December 2024

Global warming and CO2 emissions have become increasingly pressing concerns, with the aviation industry contributing significantly to these issues. In response, efforts have been made to develop environmentally sustainable aviation solutions. This paper examines the Direct Operating Costs (DOCs) of the Wright Spirit, one of the options for electric flight, compared to the conventional BAe 146 on which the Wright Spirit is based. Utilising methodologies adapted from previous studies (largely the AEA method), the analysis investigates various factors influencing DOC including battery prices, flight duration, and charging time. The results indicate a 73% increase in overall DOCs from the BAe 146 to the Wright Spirit, largely influenced by battery costs and lifespan. However, an 83% reduction in fuel/energy costs suggests the potential viability of the Wright Spirit, particularly with anticipated reductions in battery prices. For instance, a quartering of battery prices could result in a GBP 5 increase in costs for 1 h flights; compared to the BAe 146. Moreover, the analysis finds the battery lifespan and charging time to be the most important factors to control in order to increase commercial feasibility. Ticket price comparisons suggest that the Wright Spirit’s costs align closely with current market prices, with a flight from Paris to Heathrow predicted to cost the airline GBP 136.10 per passenger. Future research could explore alternative electric aircraft designs to further assess their impact on DOCs and ticket prices
Overview and Comparison of Deep Neural Networks for Wildlife Recognition Using Infrared Images
Authors: Sykora Peter , Kamencay Patrik , Hlavata Roberta , Hudec Robert
Published: December 2024

There are multiple uses for single-channel images, such as infrared imagery, depth maps, and others. To automatically classify objects in such images, an algorithm suited for single-channel image processing is required. This study explores the application of deep learning techniques for the recognition of wild animals using infrared images. Traditional methods of wildlife monitoring often rely on visible light imaging, which can be hindered by various environmental factors such as darkness, fog, and dense foliage. In contrast, infrared imaging captures the thermal signatures of animals, providing a robust alternative for wildlife detection and identification. We test a Convolutional Neural Network (CNN) model specifically designed to analyze infrared images, leveraging the unique thermal patterns emitted by different animal species. The model is trained and tested on a diverse dataset of infrared images, demonstrating high accuracy in distinguishing between multiple species. In this paper, we also present a comparison of several well-known artificial neural networks on this data. To ensure accurate testing, we introduce a new dataset containing infrared photos of Slovak wildlife, specifically including classes such as bear, deer, boar, and fox. To complement this dataset, the Fashion MNIST dataset was also used. Our results indicate that deep learning approaches significantly enhance the capability of infrared imaging for wildlife monitoring, offering a reliable and efficient tool for conservation efforts and ecological studies.
Mitigating Food Protein Allergenicity with Biopolymers, Bioactive Compounds, and Enzymes
Authors: Sabaghi Moslem , Maleki Soheila J.
Published: December 2024

This review explores strategies for mitigating food allergies by treating foods with biopolymers, bioactive compounds, and food-grade enzymes. Biopolymers like chitosan, alginate, and pectin show potential in reducing the allergenic properties of food. Polyphenols such as quercetin, resveratrol, curcumin, and epigallocatechin gallate demonstrate promise as anti-inflammatory molecules that can lessen the symptoms and severity of allergic reactions. Enzymes, including proteases such as pepsin, papain, and bromelain, and transferases like transglutaminase, offer the potential to reduce the allergenic potency of proteins by various mechanisms, though more research is needed for the optimization and assessment of the safety and palatability of treated foods. Overall, this review offers insights into potential strategies to alleviate allergic reactions by reducing the allergenic properties of food proteins.
Anesthesiologists Cross the Quality Chasm with Point of Care Ultrasound (POCUS) Among Perioperative Patients
Authors: Ettel George Leonard , Hughes James Allen , Drago Kelly Nicole , Jotch Eric Francis-Jerome
Published: December 2024

Background/Objective: POCUS is an invaluable tool for anatomical variation assessment, guidance of invasive interventions, and diagnosis of critical conditions that may change the anesthesiologist’s plan of care. This technology increases success rate, decreases time to surgery, and maximizes outcomes. The objective of this pilot program evaluation was to identify the anesthesiologists’ systems and processes for utilizing POCUS in clinical decision-making for patients during the perioperative phases of care for improved outcomes. Materials/Methods: A Multivariate Analysis of Variance (MANOVA) was conducted to identify differences across groups (scan type). The independent variable was the type of POCUS examination. The dependent variables included the patient’s: (1) Perioperative Status; (2) Cardiothoracic Anesthesiologist’s Review of Patient History and Formulating the Clinical Question; (3) Overall Risk Potential; (4) Aspiration Potential; (5) Issues Related to Cardiovascular Hemodynamics; (6) Issues Related to Volume Status; (7) Clinical Question Answered by POCUS; (8) Change in Plan of Care; (9) Interventions; and (10) Pharmacological Interventions. Results: MANOVA findings (Wilks’ λ) identified a statistically significant interaction between POCUS scan type and the cardiothoracic anesthesiologist’s clinical decision-making (p < 0.0001). The following four criteria were statistically significant: (1) patients (64%) were examined with POCUS preoperatively (p < 0.05); (2) patients (95%) identified as having some type of overall risk potential (p < 0.05); (3) patients (36%) specifically identified as an aspiration risk (p < 0.0001); and (4) patients (41%) identified with issues related to cardiovascular hemodynamics (p < 0.001). Conclusions: POCUS is a proven imaging modality that is easy, portable, sensitive, and specific for identifying various anatomical landmarks. POCUS utilization in the perioperative setting has potential to have a profound impact on successful surgical completion.
Advanced State-of-Health Estimation for Lithium-Ion Batteries Using Multi-Feature Fusion and KAN-LSTM Hybrid Model
Authors: Zhang Zhao , Zhang Runrun , Liu Xin , Zhang Chaolong , Sun Gengzhi , Zhou Yujie , Yang Zhong , Liu Xuming , Chen Shi , Dong Xinyu , Jiang Pengyu , Sun Zhexuan
Published: December 2024

Accurate assessment of battery State of Health (SOH) is crucial for the safe and efficient operation of electric vehicles (EVs), which play a significant role in reducing reliance on non-renewable energy sources. This study introduces a novel SOH estimation method combining Kolmogorov–Arnold Networks (KAN) and Long Short-Term Memory (LSTM) networks. The method is based on fully charged battery characteristics, extracting key parameters such as voltage, temperature, and charging data collected during cycles. Validation was conducted under a temperature range of 10 °C to 30 °C and different charge–discharge current rates. Notably, temperature variations were primarily caused by seasonal changes, enabling the experiments to more realistically simulate the battery’s performance in real-world applications. By enhancing dynamic modeling capabilities and capturing long-term temporal associations, experimental results demonstrate that the method achieves highly accurate SOH estimation under various charging conditions, with low mean absolute error (MAE) and root mean square error (RMSE) values and a coefficient of determination (R2) exceeding 97%, significantly improving prediction accuracy and efficiency.
Assessment of Muscle Synergies in Chronic Ankle Instability Patients During Unanticipated and Anticipated Landing
Authors: Zhou Zhifeng , Xu Datao , Wang Meizi , Jie Tianle , Baker Julien S. , Zhou Huiyu , Gu Yaodong
Published: December 2024

Ankle sprains are a common injury among athletes and the general population, with chronic ankle instability (CAI) being a frequent complication. CAI patients often display altered neuromuscular control adaptations. This study analyzed muscle synergy patterns in 20 CAI patients during anticipated and unanticipated landing tasks to understand their neuromuscular adaptation strategies. Using Nesterov non-negative matrix factorization and K-means clustering, the study identified distinct muscle activation patterns. Results indicated that during unanticipated landings, the gluteus maximus and vastus lateralis showed increased activation weight, while the medial gastrocnemius was more active in anticipated landings. This study highlights that CAI patients display unique muscle synergy patterns during unanticipated landings, relying more on proximal muscles such as the gluteus maximus and vastus lateralis. This adaptation reflects the proximal muscle strategy to enhance stability and compensate for impaired ankle function in unpredictable situations.
Time-Dependent Analysis of Catalytic Biomass Pyrolysis in a Continuous Drop Tube Reactor: Evaluating HZSM-5 Stability and Product Evolution
Authors: Mohabeer Chetna , Boutamine Zineb , Abdelouahed Lokmane , Maarawi Antoinette , Taouk Bechara
Published: December 2024

This study investigates a continuous deoxygenation of bio-oil vapor in a catalytic fixed-bed reactor coupled to a continuous drop tube reactor (DTR) for biomass pyrolysis. Beech wood pyrolysis was initially examined without catalysts at various temperatures (500–600 °C). The products were characterised using GC-MS, Karl Fischer titration, GC-FID/TCD, and thermogravimetric analysis. The highest bio-oil yield (58.8 wt.%) was achieved at 500 °C with a 500 mL/min N2 flow rate. Subsequently, ex situ catalytic pyrolysis was performed using an HZSM-5 catalyst in a fixed-bed reactor at a DTR outlet, operating at 425 °C, 450 °C, and 500 °C. The HZSM-5 catalyst exhibited declining deoxygenation efficiency over time, which was evidenced by decreasing conversion rates of chemical families. Principal component analysis was employed to interpret the complex dataset, facilitating a visualisation of the relationships between the experimental conditions and product compositions. This study highlights the challenges of continuous operation as experimental durations were limited to 120 min due to clogging issues. This research contributes to understanding continuous biomass pyrolysis coupled with catalytic deoxygenation, providing insights into the reactor configuration, process parameters, and catalyst performance crucial for developing efficient and sustainable biofuel production processes.
Predictive Factors of Amputation in Diabetic Foot
Authors: Farine Francesco , Rapisarda Antonio Maria , Roani Carolina , Giuli Cristina , Comisi Chiara , Mascio Antonio , Greco Tommaso , Maccauro Giulio , Perisano Carlo
Published: December 2024

Background: Diabetic foot ulcers are a common complication of diabetes mellitus, often leading to progressive sensory deficits, impaired vascularization, and a predisposition to ulceration and gangrene. Untreated ulcers may cause recurrent infections that endanger a patient’s life. Amputation of part of the limb up to a well-vascularized level is one of the treatments employed for untreated ulcers. Objectives: Laboratory data were analyzed with the aim of identifying risk factors related to surgical amputation treatment of diabetic foot. We believe it is useful to identify risk factors that can be altered from a reversible condition in the clinical decision-making of treatment, thus manifesting themselves in a timely manner to provide the patient with an alternative to surgical amputation of the lower limb. Methods: Our retrospective study was conducted by the Department of Orthopedics and Traumatology at the Fondazione Policlinico Universitario Agostino Gemelli IRCCS in Rome. We recruited 200 patients who underwent lower limb amputation for diabetic foot between 2017 and 2021 and had blood tests both 30 days and within 5 days before the first surgery. Results: This case–control study revealed a significant negative correlation between hemoglobin (Hb) levels and the occurrence of leg amputations. In contrast, C-reactive protein (CRP) levels, the neutrophil-to-lymphocyte ratio (NLR), and the platelet-to-lymphocyte ratio (PLR) showed significant positive correlations with leg amputations. A 3-year follow-up of the cases also revealed a significative positive correlation between age, white blood cells (WBC) count, NLR, PLR, and death at 3 years. Conclusions: Our findings suggested that lower Hb levels and elevated CRP, NLR, and PLR levels in patients with diabetic foot disease may be associated with a higher risk of lower-limb amputation. Unexpectedly, this study also demonstrated that elderly age, WBC, CRP, NLR and PLR levels may be associated with a negative prognosis for these patients. These findings highlighted the importance of monitoring these laboratory values in diabetic patients to identify individuals at higher risk of leg amputations and implement appropriate interventions to prevent or minimize the occurrence of this severe complication.
The Promising Potency of Sodium–Glucose Cotransporter 2 Inhibitors in the Prevention of and as Treatment for Cognitive Impairment Among Type 2 Diabetes Patients
Authors: Zhang Yibin , Liao Xiaobin , Xu Jialu , Yin Jiaxin , Li Shan , Li Mengni , Shi Xiaoli , Zhang Shujun , Li Chunyu , Xu Weijie , Yu Xuefeng , Yang Yan
Published: December 2024

Type 2 diabetes mellitus (T2DM), accounting for the majority of diabetes mellitus prevalence, is associated with an increased risk of cognition decline and deterioration of cognition function in diabetic patients. The sodium–glucose cotransporter 2 (SGLT2), located in the renal proximal tubule, plays a role in urine glucose reabsorption. SGLT2 inhibitors (SGLT2i), have shown potential benefits beyond cardiac and renal improvement in preventing and treating cognitive impairment (CI), including mild cognitive impairment, Alzheimer’s disease and vascular dementia in T2DM patients. Studies suggest that SGLT2i may ameliorate diabetic CI through metabolism pathways, inflammation, oxidative stress, neurotrophic factors and AChE inhibition. Clinical trials and meta-analyses have reported significant and insignificant results. Given their vascular effects, SGLT2i may offer unique protection against vascular CI. This review compiles mechanisms and clinical evidence, emphasizing the need for future analysis, evaluation, trials and meta-analyses to verify and recommend optimal SGLT2i selection and dosage for specific patients.
RHO-Associated Coiled-Coil-Containing Protein Kinase Inhibitors Significantly Modulate the Epithelial–Mesenchymal Transition Induced by TGF-β2 in the 2-D and 3-D Cultures of Human Corneal Stroma Fibroblasts
Authors: Umetsu Araya , Ida Yosuke , Sato Tatsuya , Higashide Megumi , Nishikiori Nami , Furuhashi Masato , Ohguro Hiroshi , Watanabe Megumi
Published: December 2024

Background/Objectives: The objective of the present study was to examine the unidentified effects that RHO-associated coiled-coil-containing protein kinase 1 and 2 antagonists exert on the transforming growth factor beta2-induced epithelial–mesenchymal transition of the human corneal stroma. Methods: In the presence or absence of pan-RHO-associated coiled-coil-containing protein kinase inhibitors, ripasudil or Y27632 and RHO-associated coiled-coil-containing protein kinase 2 inhibitor, KD025, we analyzed the following: (1) planar proliferation caused by trans-endothelial electrical resistance and the cellular metabolic characteristics of the two-dimensional cultures of human corneal stroma fibroblasts; (2) the physical properties of a three-dimensional human corneal stroma fibroblasts spheroid; and (3) the gene expressions and their regulators in the extracellular matrix, along with the tissue inhibitors of metalloproteinases and matrix metalloproteinases and the endoplasmic reticulum stress-related factors of the two-dimensional and three-dimensional cultures in human corneal stroma fibroblasts. Results: Exposure to 5 nM of the transforming growth factor beta2 markedly increased the trans-endothelial electrical resistance values as well as the metabolic function in two-dimensional cultures of human corneal stroma fibroblasts. With an increase in stiffening, this exposure also reduced the size of three-dimensional human corneal stroma fibroblast spheroids, which are typical cellular phenotypes of the epithelial–mesenchymal transition. Both pan-RHO-associated coiled-coil-containing protein kinase inhibitors and RHO-associated coiled-coil-containing protein kinase 2 inhibitors substantially modulated these transforming growth factor beta2-induced effects, albeit in a different manner. Gene expression analysis supported such biological alterations via either with transforming growth factor beta2 alone or with the RHO-associated coiled-coil-containing protein kinase inhibitors variants with the noted exception being the transforming growth factor beta2-induced effects toward the three-dimensional human corneal stroma fibroblast spheroid. Conclusions: The findings presented herein suggest the following: (1) the epithelial–mesenchymal transition could be spontaneously evoked in the three-dimensional human corneal stroma fibroblast spheroid, and, therefore, the epithelial–mesenchymal transition induced by transforming growth factor beta2 could differ between two-dimensional and three-dimensional cultured HCSF cells; and (2) the inhibition of ROCK1 and 2 significantly modulates the transforming growth factor beta2-induced an epithelial–mesenchymal transition in both two-dimensionally and three-dimensionally cultured human corneal stroma fibroblasts, albeit in a different manner.
Are the Results of the Bayley Scales of Infant and Toddler Development (Third Edition) Predictive for Later Motor Skills and School Performance?
Authors: Kipping Sophia Maria , Kiess Wieland , Ludwig Juliane , Meigen Christof , Poulain Tanja
Published: December 2024

Background/Objectives: The first year of life represents a critical developmental stage in which the foundations for motor, cognitive, language, and social–emotional development are set. During this time, development occurs rapidly, making early detection of developmental disorders essential for timely intervention. The Bayley Scales of Infant and Toddler Development—Third Edition (Bayley-III) is an effective tool for assessing language, motor, and cognitive development in children aged 1 to 42 months. This study aimed to investigate whether or not the results of the Bayley-III in healthy one-year-old children are predictive for their later motor skills and school performance. Methods: This study had a prospective, longitudinal design. The study participants were healthy children having performed Bayley-III at 1 year with information on motor performance (n = 170) at age 5–10 and school grades (n = 69) at age 7–10. Linear or logistic regression analysis was performed for data analysis. Results: Below-average performance in the cognitive part of the Bayley-III at age 1 was significantly associated with poorer performance in balancing backwards (b = −0.45), sideways jumping (b = −0.42), standing long jump (b = −0.54), and forward bends (b = −0.59) at age 5–10 (all p < 0.05). Performance in other parts of the Bayley-III was not significantly associated with later motor skills. Furthermore, we did not observe any significant associations between performance in the Bayley-III and grades in school. The associations were not moderated by age, sex, or socioeconomic status (all p > 0.05). Conclusions: The cognitive scale of the Bayley-III may be used as a predictive tool for later motor skills. Regarding school performance, the Bayley-III cannot be considered predictive.
Skin Sceneries of Thyroid Disorders and Impact of Thyroid on Different Skin Diseases: A Scoping Review Focused on Pediatric Patients
Authors: Cammisa Ignazio , Zona Margherita , Guerriero Cristina , Cipolla Clelia , Rigante Donato
Published: December 2024

Thyroid function plays a seminal role in the growth and development of children, and alterations in signaling pathways which interfere with the biosynthesis, transport, and metabolism of thyroid hormones might impact on the skin of such patients: this review explores the relationship between different thyroid disorders and dermatological manifestations with a particular focus on the pediatric population. Common cutaneous conditions associated with thyroid dysfunction may include chronic urticaria, vitiligo, and alopecia, which can be early harbingers of an underlying endocrine disruption. This review also highlights the growing cognizance of a “thyroid–skin axis”, with thyroid hormones influencing many physiologic processes within the skin such as keratinocyte proliferation, hair growth, and epidermal differentiation. A precocious recognition of abnormal dermatological signs can be crucial in pediatric patients for a timely diagnosis before any development of complications and for personalized treatments of an underlying thyroid disorder, which can even be symptomless at an initial phase. Despite the lack of standardized guidelines for managing dermatologic manifestations occurring in thyroid diseases, a regular screening to identify endocrine dysfunction is recommended in those children who present chronic urticaria, vitiligo, or alopecia, though further research is needed to decipher mechanisms involved in the thyroid-skin partnership and develop more targeted management approaches.
Decoding Carbon Footprints: How U.S. Climate Zones Shape Building Emissions
Authors: Nouri Ali , Hu Ming
Published: December 2024

The construction industry accounts for over 40% of carbon emissions in the United States, with embodied carbon—emissions associated with building materials and construction processes—remaining underexplored, particularly regarding the impact of location and climate. This study addresses this gap by investigating the influence of different climate zones on the embodied carbon emissions of residential buildings. Using Building Information Modeling (BIM), 3D models were developed based on the 2021 International Energy Conservation Code (IECC) and International Residential Code (IRC). A lifecycle assessment (LCA) was conducted using Environmental Product Declarations (EPDs) to evaluate the embodied carbon of building materials during the product stage. The findings reveal that buildings in colder climates exhibit higher embodied carbon emissions, ranging from 25,768 kgCO2e in Zone 1 to 40,129 kgCO2e in Zone 8, due to increased insulation requirements. Exterior walls and roofs were identified as significant contributors, comprising up to 34% of total emissions. Sensitivity analysis further indicates that the window-to-wall ratio and interior wall design substantially affect embodied carbon, with baseline emissions around 170 kgCO2e/m2 in warm areas and 255 kgCO2e/m2 in cold areas. These results establish a baseline for lifecycle embodied carbon values across different climate zones in the United States and align with international standards. This study provides valuable insights for policymakers and designers, offering data to inform effective carbon reduction strategies and optimize building designs for sustainability.
Optimizing Endoscopic Respiratory Diagnostics with Cytology: An Update on Touch Imprints with a Comparative Literature Review
Authors: Elmas Hatice , Önal Binnur , Yilmaz Selda , Steurer Stefan , Welker Lutz
Published: December 2024

Background: Major diagnostic and therapeutic changes led to the implementation of the ‘lung cancer diagnosis in small biopsies and cytology specimens’ concept in the WHO Classification of Tumours of the Lung, Pleura, Thymus and Heart in 2015. Touch imprints are an established technique in cytology that provides a rapid and minimally invasive method for morphological diagnoses of clinical specimens, accurate subtyping, and molecular characterizations of malignancies. The extended diagnostic requirements from the increasingly limited material provided by minimally invasive biopsy techniques pose major challenges for pathology. Recognizing the relevant features and potential pitfalls is essential for cytologists to avoid misinterpretation. Materials and Methods: A retrospective analysis of endoscopic and surgical biopsy diagnostics was performed on 717 patients (303 women and 414 men; average age of 66.9 years) with clinically suspicious tumor findings at the LungenClinic Grosshansdorf in 2020. A total of 1363 cytological samples were obtained pre-therapeutically from 986 distinct biopsies covering 330 surgically and 656 endoscopically examined pulmonary, mediastinal, and bronchial regions. These samples were then compared with the histological diagnoses that were critical for determining the final therapy. Results: Out of a total of 656 endoscopically examined cases, 322 were classified as malignant, 308 as benign, and 26 as undetermined. While touch imprints and histological analysis separately achieved specificity values of 95.4% and 98.8%, both methods showed sensitivity values of 82.1% and 86.5%, respectively. In contrast, combining the two methods improved the sensitivity by 8 percentage points to 94.6%. Out of 330 cases of surgically examined samples, 137 were malignant, 190 were benign, and 3 were undetermined. The specificity of the morphological examinations for these samples was comparably high at 97.9% and 100%, respectively. In this surgical setting, touch imprints alone achieved a sensitivity of 75.9% (n = 104/137 cases), with a specificity of 97.9% (n = 186/190 cases). The outcome of the histological approach alone and in combination with touch imprints reached a sensitivity of 96.4% (n = 132/137 cases). Conclusions: Cytology and histology achieved comparably high sensitivity and specificity values on small biopsies. Under optimal conditions for morphological analysis in a surgical setting, the sensitivity of cytology for detecting malignant tumors was only 6 percentage points lower compared with the clinical endoscopic setting. A combined approach of cytologic–histologic evaluation for endoscopically examined specimens significantly increased the sensitivity by approximately 8% compared with the surgical setting (p < 0.003).
Comparative Assessment of Push-Out Bond Strength and Dentinal Tubule Penetration of Different Calcium-Silicate-Based Endodontic Sealers
Authors: Merfea Mihai , Cimpean Sanda Ileana , Chiorean Radu Stefan , Antoniac Aurora , Delean Ada Gabriela , Badea Iulia Clara , Badea Mindra Eugenia
Published: December 2024

Background: Adhesion within endodontic obturation material and root canal walls improves the efficacy of the endodontic treatment by establishing a barrier that inhibits reinfection and entombs residual bacteria. This study evaluates the push-out bond strength (POBS) of calcium silicate sealers compared to an epoxy-resin-based sealer. Methods: A total of 36 extracted mono-radicular teeth were prepared with Pro Taper Ultimate and irrigated with 5.25% sodium hypochlorite and 17% EDTA. The specimens were randomly split into three groups (n = 12) according to the endodontic sealer and filling technique used as follows: Ah Plus with the continuous wave condensation technique (CWC), Ah Bioceramic (Ah Bio) with the single-cone technique, and Total Fill Hi-Flow (FKG Hi-Flow) with the CWC technique. The material was allowed to set for 4 weeks, and afterwards, the roots were placed in acrylic resin and sectioned into 1 mm transverse slices. A POBS test was conducted using a universal testing machine, and the mode of bond failure was assessed at 4× magnification using a stereomicroscope. Six specimens from each group were selected for SEM-EDX examination to evaluate dentinal tubule penetration. The data were analysed using analysis of variance and Tukey and Bonferroni post hoc tests. Results: The POBS tests revealed higher values for Ah Plus in comparison to both calcium silicate sealers (p < 0.001), while FKG Hi-Flow showed superior results to Ah Bio (p < 0.001). The cohesive mode of failure was prevalent in all three groups. Conclusions: In conclusion, the resin-based sealer showed higher bond strength and better dentinal tubule penetration than the two calcium silicate sealers tested, while FKG Hi-Flow outperformed AH Bio.
Research on Enhanced Belief Propagation List Decoding Algorithm for Polar Codes in UAV Communications for 6G
Authors: Zhu Chuanji , He Yuanzhi , Dou Zheng
Published: December 2024

The introduction of sixth-generation mobile communication technology (6G) poses new requirements for the capacity, rate, latency, and reliability of communication systems. As a vital component of 6G technology, unmanned aerial vehicle (UAV) communications also face various challenges, such as noise interference and limited hardware resources. To meet the high demands of 6G, advanced channel coding techniques need to be adopted. Polar codes, due to their theoretically achievable Shannon limit performance, have potential applications in UAV communication systems. Constructing reliable polar decoding schemes is currently a research hotspot in the field of communications. The Belief Propagation List (BPL) decoding algorithm for polar codes can effectively enhance the accuracy of polar code BP decoding. However, existing BPL decoding algorithms for polar codes face issues such as high hardware resource consumption and unsatisfactory decoding accuracy. Addressing the aforementioned issues, this paper proposes a BPL decoding algorithm for polar codes based on information geometry. An information geometry framework is constructed, where the soft information output by the BP decoder is treated as points on a statistical manifold, and their geometric properties are calculated. By introducing the concept of the soft information centroid and a path selection criterion based on the soft information centroid, combined with geometric distance as a weight, the decoding performance is improved, and hardware overhead is reduced. Simulation results show that under the conditions of a maximum of 60 iterations and 5 decoders, the proposed algorithm reduces the bit error rate by 16.2–74.9% compared to the classic BPL algorithm, providing strong technical support for the application of polar codes in scenarios such as UAV communications.
Identifying Causal Effects Under Functional Dependencies
Authors: Chen Yizuo , Darwiche Adnan
Published: December 2024

We study the identification of causal effects, motivated by two improvements to identifiability that can be attained if one knows that some variables in a causal graph are functionally determined by their parents (without needing to know the specific functions). First, an unidentifiable causal effect may become identifiable when certain variables are functional. Secondly, certain functional variables can be excluded from being observed without affecting the identifiability of a causal effect, which may significantly reduce the number of needed variables in observational data. Our results are largely based on an elimination procedure that removes functional variables from a causal graph while preserving key properties in the resulting causal graph, including the identifiability of causal effects. Our treatment of functional dependencies in this context mandates a formal, systematic, and general treatment of positivity assumptions, which are prevalent in the literature on causal effect identifiability and which interact with functional dependencies, leading to another contribution of the presented work.
Utilizing Soft Open Points for Effective Voltage Management in Multi-Microgrid Distribution Systems
Authors: Azizivahed Ali , Gholami Khalil , Arefi Ali , Arif Mohammad Taufiqul , Haque Md Enamul
Published: December 2024

To enhance stability and reliability, multi-microgrid systems have been developed as replacements for conventional distribution networks. Traditionally, switches have been used to interconnect these microgrids, but this approach often results in uncoordinated power sharing, leading to economic inefficiencies and technical challenges such as voltage fluctuations, delay in response, etc. This research, in turn, introduces a novel multi-microgrid system that utilizes advanced electronic devices known as soft open points (SOPs) to enable effective voltage management and controllable power sharing between microgrids while also providing reactive power support. To account for uncertainties in the system, the two-point estimate method (2PEM) is applied. Simulation results on an IEEE 33-bus network with high renewable energy penetration reveal that the proposed SOP-based system significantly outperforms the traditional switch-based method, with a minimum voltage level of 0.98 p.u., compared to 0.93 p.u. in the conventional approach. These findings demonstrate the advantages of using SOPs for voltage management in forming multi-microgrid systems.
Hybrid Framework for Investigating Digital Transformation Barriers in the Oil and Gas Sector
Authors: Alshibani Adel , Alkhathami Saleh Musleh , Hassanain Mohammad A. , Tuffaha Firas , Ouis Djamel , Mohammed Awsan
Published: December 2024

The oil and gas (O&G) sector depends on information analysis, making digital transformation vital. Industry-specific factors like environmental, regulatory, operational, and security challenges shape its tech adoption. This paper identifies and examines the barriers and drivers of digital transformation in O&G through a literature review and expert insights, leading to a questionnaire assessment. Interpretive Structural Modeling (ISM) was employed to create a structural model that illustrates the interactions between these barriers, helping experts understand how to achieve digitization within the industry. The questionnaire analysis identified the key barriers based on their RII values: “Experiments requiring significant time for validation of new technologies”, “Technical complexities of new technologies”, “Security concerns”, “Insufficient strategies”, and “Organizational culture and resistance to change”. The ISM indicated that the “Technical complexities of new technologies” and the “Lack of readily deployable technologies” are the most influential barriers. Addressing these is crucial for O&G companies to unlock digitalization potential.
Green Port Industry to Support the Offshore Wind Sector: A Proposal Framework
Authors: Godeiro Monalisa , González Mario , Jones Dylan , Akbari Negar , Nascimento Gabriela , Melo David , Vasconcelos Rafael , Santiso Andressa , Nogueira Luana , Almeida Mariana , Toledo José
Published: December 2024

In recent years, offshore wind power has become increasingly relevant as a key alternative for contributing to the global economy’s decarbonization. Also, the accelerated technological development of the offshore wind turbine influences the increase in size and weight of its main components. This requires an appropriate port infrastructure to support the installation, operation, and maintenance and future decommissioning of offshore wind farms, and especially to serve as an area for manufacturing these components, addressing logistical challenges associated with land transport. This research aims to identify the factors that characterize a suitable port to support the offshore wind industry, also bringing the new green port industry concept. A systematic literature review was conducted via analyses of 126 documents, and a survey procedure was applied to validate the proposed model. As a result, a characterization model was proposed that includes 71 factors classified into 6 dimensions: physical characteristics, port layout, connectivity, port operation, port–farm performance optimization, and governance for sustainability, which is the main novelty of this study. The results contribute to the advancement of the offshore wind energy sector and can provide significant benefits for regional development and local communities with offshore wind potential.
Multisampling with Sigma-Delta ADCs for Medium-Voltage Cascaded H-Bridge Converters
Authors: Montes Oscar Andrés , Dadzie David , Lukic Srdjan , Tu Hao
Published: December 2024

The control of medium-voltage cascaded H-bridge (CHB) converters demands precise, high-bandwidth, low-latency, and isolated measurements. Traditional analog-to-digital converters (ADCs) can facilitate multisampling methods to meet these requirements but do not provide the high-voltage galvanic isolation that may be necessary in a system operating at medium voltage. Sigma-Delta ADCs (SD-ADCs) present a promising alternative due to their superior noise rejection capabilities and direct integration with the optical fiber interface. However, the inherent latency associated with SD-ADCs, stemming from their operating principles, poses challenges when integrating them with multisampling methods. This paper analyzes the integration of multisampling techniques with SD-ADCs for medium-voltage CHB converter control. First, the impact of SD-ADC-induced delays on the control system is elucidated from the passivity perspective. Second, the practical implementation of multisampling with SD-ADCs is discussed in detail. Finally, experimental results from a 2400 Vrms medium-voltage CHB converter are presented to validate the analysis and illustrate the effectiveness of the proposed implementation.
Aspects of Modeling Coal Enrichment Processes by Gravity Methods
Authors: Surowiak Agnieszka , Niedoba Tomasz , Wahman Mustapha
Published: December 2024

This study examines the challenges associated with processing hard coal, with a specific focus on gravitational enrichment methods and the utilization of jigs for coal separation. The research involves the simulation and modeling of physical property distributions and the analysis of both the feed density distribution and the characteristics of the enrichment products. Findings indicate that the resultant density distributions are influenced not only by the gravitational enrichment process but also by the preceding procedures and the inherent properties of the coal, such as particle size, sulfur content, and ash content, all of which significantly affect the quality of the outcomes. In modeling and optimization efforts, the study emphasizes approximating grain density using selected statistical distributions—specifically, the Weibull, logistic, and Gaudin–Schuhmann–Andreyev (GSA) distributions—before and after the enrichment process. Statistical analyses demonstrate that the GSA distribution most accurately fits the grain density distribution in the feed, while the Weibull distribution provides the best approximation for the separation products. The quality of these approximations was assessed using the coefficient of determination (R2) and the Mean Squared Error (MSE). The best quality of approximation for feed was obtained by means of the GSA distribution function, and the MSE was approximately 3.1 for two analyzed values of feed flow rates. In the case of concentrates and tailings, the results are not unequivocal.
Study on Fire Characteristics of Flame-Retardant Polycarbonate Under Low Pressure
Authors: Sun Zhuoer , Wang Xuehui , Wang Jian
Published: December 2024

This work presents experimental and numerical research on the pyrolysis and combustion characteristics of flame-retardant polycarbonate under low ambient pressure. A novel experimental low-pressure combustion platform was constructed to determine the heat release rate, a key combustion parameter of polycarbonate. The ignition process of polycarbonate under external radiation was analyzed, and an ignition time prediction model was developed. In addition, theoretical calculations of the main gas components and concentrations during the pyrolysis stage of polycarbonate and estimations of the calorific values of the combustible gas components produced during pyrolysis were carried out, providing a new explanation for the phenomenon of advancing ignition time in low-pressure environments.