bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk Factors for Postoperative Acute Kidney Injury Requiring Renal Replacement Therapy in Patients Undergoing Heart Valve Surgery
Authors: Duchnowski Piotr , Śmigielski Witold
Published: December 2024

Background: Postoperative acute kidney injury (AKI) in patients undergoing heart valve surgery is a common complication requiring special treatment, including renal replacement therapy (RRT). Effective prevention remains the most effective tool to reduce this important clinical problem. The aim of the study was to evaluate the predictive abilities of selected perioperative parameters in predicting AKI requiring RRT in the early postoperative period in patients undergoing cardiac valve surgery. Methods: Prospective study on a group of patients undergoing cardiac valve surgery. The primary endpoint was postoperative AKI requiring RRT. The secondary endpoint was death in the RRT group. Logistic regression analysis was used to assess which variables predicted the primary and secondary endpoints. Results: 603 patients were included in the study. The primary endpoint occurred in 43 patients. At multivariable analysis, age (p < 0.001), preoperative CRP level (p = 0.007), troponin T measured one day after surgery (TnT II) (p < 0.001) and prolonged postoperative use of catecholamines (p = 0.001) were independent predictors of the primary endpoint. In turn, death in the group of patients requiring RRT occurred in 32 patients. Age (p < 0.001), preoperative CRP level (p = 0.002), TnT II (p = 0.009), and prolonged postoperative use of catecholamines (p = 0.001) remained independent predictors of the secondary endpoint. Conclusions: The results of this study indicate that older age, elevated values of preoperative levels of CRP, as well as increasing levels of postoperative troponin T and the need for a prolonged supply of catecholamines, are independent predictors of postoperative AKI requiring RRT as well as death. Accurate identification of patients at increased postoperative risk of AKI could facilitate preoperative patient informed consent and optimize the process of qualification and cardiac surgical treatment.
Reperfusion of Pulmonary Arteriovenous Malformations Treated by Catheter Embolization
Authors: Gulich Bianca , Buecker Arno , Schneider Guenther
Published: December 2024

Objective: The aim of this study was to evaluate patients with hereditary hemorrhagic telangiectasia (HHT) for the potential reperfusion of pulmonary arteriovenous malformations (PAVM) treated by catheter embolization using coils or embolization plugs and to analyze causes of possible reperfusion in order to further improve treatment. Methods: This retrospective study analyzed the data of 345 patients who underwent screening for pulmonary arteriovenous malformations in cases of suspected or confirmed HHT (Osler’s disease). Of these, 118 patients with PAVM that underwent catheter embolization and had at least one follow-up study were included in our study and evaluated for potential reperfusion. Screening and follow-up for the detection of PAVM was performed by dynamic and high-resolution contrast-enhanced magnetic resonance angiography (MRA). The average follow-up time was 6.2 years. Results: Reperfusion was detected in 43 of 118 patients at follow-up. Thirty-five of these patients showed a recanalization of the treated vessel and in eleven patients the formation of collateral vessels resupplying the PAVM were identified as the cause of reperfusion. The average time between embolization and detected reperfusion was 5.6 years. The recanalization of both coils and plugs was observed. The recanalization of coils could be attributed in most cases to an insufficient packing density of the implanted coils. In addition, an enlarged diameter of the feeding artery was confirmed as a risk factor for reperfusion. Conclusions: As the reperfusion of embolized pulmonary arteriovenous malformations can occur after a long time interval post-treatment, regular lifelong follow-up studies after embolization are essential to detect reperfusion at an early stage and avoid serious complications like a brain abscess or stroke through prompt re-embolization. After coil embolization, attention should be paid to sufficiently dense packing to achieve adequate and permanent occlusion.
Exploratory Study of the Measurement of Geometric Height in 3D Transesophageal Echocardiography as a Predictor of Valve-Sparing Root Replacement for Aortic Regurgitation
Authors: Yamanaka Shota , Takanashi Shuichiro , Shimokawa Tomoki , Kunihara Takashi
Published: December 2024

Background: Valve-sparing root replacement surgery is an alternative strategy for patients with aortic regurgitation with or without aortic root enlargement. A detailed understanding of the mechanisms of regurgitation and the morphology of the aortic root would be beneficial for predicting the feasibility and success of valve-sparing surgery. This is an exploratory study of the measurement of geometric height in 3D transesophageal echocardiography as a predictor of valve-sparing root replacement for aortic regurgitation. Methods: Transesophageal echocardiographic findings and long-term outcomes were compared in 124 patients undergoing either valve-sparing root replacement (VSRR group) or composite valve graft replacement (Bentall group) from September 2014 to March 2019. Results: The VSRR group was younger and had better left ventricular function than the Bentall group. Three-dimensional transesophageal echocardiography showed that geometric height was significantly larger in the VSRR group. In receiver-operating curve analysis, the cutoff values of geometric height for the feasibility of valve-sparing surgery were 15.9 mm and 19.8 mm in the tricuspid and bicuspid aortic valve, respectively. The overall survival was 98.6% and the freedom from reoperation rate was 89.7% at 5 years in the VSRR group. Conclusions: Appropriate patient selection and adequate GH may contribute to the success of VSSR and improve long-term outcomes.
Characteristics of Microaneurysm Size in Residual Edema After Intravitreal Injection of Faricimab for Diabetic Macular Edema
Authors: Yamada Yutaka , Takamura Yoshihiro , Morioka Masakazu , Oshima Hideyuki , Gozawa Makoto , Matsumura Takehiro , Inatani Masaru
Published: December 2024

Background/Objectives: Microaneurysms (MAs) are important in the pathology of diabetic macular edema (DME) and its response to anti-vascular endothelial growth factor (VEGF) therapy. This study aimed to clarify the morphological characteristics of MAs in residual edema following consecutive faricimab injections, a bispecific antibody against angiopoietin-2 and VEGF. Methods: We selected patients with DME who exhibited residual edema after three monthly injections of faricimab. In both the residual and absorbed areas of edema, we counted the turnover of MAs, including those that were lost and those that were newly formed. The total number of MAs was determined based on the merged images from an optical coherence tomography (OCT) map and fluorescein angiography. Results: A total of 8 of the 42 patients who received three monthly injections of faricimab showed residual edema one month after the injections. In the residual edema, the density of MAs and the number of maintained MAs were significantly higher (p = 0.04), while the number of disappeared MAs (p = 0.04) and MA turnover (p = 0.01) were lower compared to the absorbed areas. Among the MAs that persisted after the initial injection, the proportion of large-sized MAs (p = 0.01) and their density were significantly greater than those in the absorbed area. In conclusion, the residual areas following three doses of faricimab displayed a higher MA density, less MA loss, and a high density of large-sized MAs compared to the absorbed areas. Our data suggest that large-size MAs located in the residual edema are characteristic of DME cases refractory to faricimab treatment.
Development and Validation of a New Adherence Scale for Antiseizure Medications [ASASM]
Authors: Alotaibi Sarah A. , Alrukban Noura A. , Alanizy Layla N. , Saleh Ahmad , Alsfouk Bshra A.
Published: December 2024

Objective: The objective was to develop and validate a multidimensional scale that measures adherence levels to antiseizure medications and detects patients’ reasons for non-adherence. Methods: A new scale was developed, namely the “Adherence Scale for Anti-Seizure Medication(s)-10 items [ASASM-10]”. It consists of ten statements that cover different causes of non-adherence to antiseizure medications. The domain selection was based on a comprehensive literature review. Guidelines for constructing an effective scale were followed to write the statements. Three independent expert judges assessed the content validity of the scale. The reliability of ASASM-10 was tested using three methods: internal consistency measurement (Cronbach’s alpha), Intraclass Correlation Coefficient [ICC] with a 95% Confidence Interval [95% CI], and test–retest reliability. Validity was tested using Principal Component Analysis [PCA] and a correlation coefficient. PCA was applied after measuring sampling adequacy via Kaiser–Meyer–Olkin [KMO] and Bartlett’s sphericity. The Medication Adherence Rating Scale [MARS] was selected as a pre-existing self-report method for validation of this new scale. Results: A total of 162 patients completed the study scales (mean ages ± SD: 34.07 ± 10.406 years). The scale demonstrated a good internal consistency with Cronbach’s alpha coefficient of 0.80 and exceeded the required value (i.e., 0.70) for the reliability of new scales. ASASM-10 showed a satisfactory ICC (95% CI) of 0.799 (0.718–0.857), p-value < 0.001. The test–retest reliability demonstrated a good correlation of ρ = 0.648, p-value < 0.001. The construct validity assessed by PCA retained four components as their eigenvalues exceeded one. The correlation coefficient demonstrated a positive moderate correlation between ASASM-10 and MARS (ρ = 0.283), p-value < 0.001. Conclusions: The present analyses provided evidence that ASASM-10 is a reliable and valid scale for evaluating patients’ adherence to antiseizure medications. It is the first available scale for assessing medication adherence in patients with epilepsy that can be utilized in clinical practice and research settings.
Evolving Trends and Future Demands in ENT Procedures: A Nationwide 10-Year Analysis
Authors: Jangan Akash , Minhas Satvir , Diakos Emmanuel , Simmons Mark , Mughal Zahir
Published: December 2024

Objective: This study aims to investigate the trends in otology, rhinology, and head and neck (H&N) operations over the past decade in England. These trends will allow for predictive modelling to forecast the demand over the coming years to aid workforce and resource planning in ENT. Methods: Hospital Episode Statistics data were extracted between April 2012 and April 2023. A total of 121 otology, 114 rhinology, and 122 H&N procedure codes were included. Correlation and linear regression analyses were conducted to examine trends and produce a forecast model for the volume of operations. Results: A gradual upward trend in the volume of operations was observed in rhinology, with a positive correlation coefficient (R = 0.74). In contrast, otology (R = −0.67) and H&N (R= −0.75) showed negative trends, indicating a moderate decline in operational volumes over time. The COVID-19 pandemic significantly disrupted operating activity in rhinology and otology. To address the backlog and reach the pre-pandemic forecasted levels within the next five years, surgical capacity must increase by an additional 33,807 rhinology 25,486 otology, and 10,300 head procedures per year in England. Conclusions: This analysis highlights a need for prioritization and expansion of the ENT workforce and resources to manage the current backlog and anticipated increase in demand over the next five years.
Prediction Model for Sciatic Nerve Procedures: A Cross-Sectional Study
Authors: Minguez-Esteban Isabel , González-de-la-Flor Ángel , Villafañe Jorge Hugo , Valera-Calero Juan Antonio , Plaza-Manzano Gustavo , Belón-Pérez Pedro , Romero-Morales Carlos
Published: December 2024

Objectives: We aimed to create a predictive model to estimate sciatic nerve depth using anthropometric and demographic data to enhance safety and precession in needle-based interventions. Setting: The study was conducted at Universidad Europea de Madrid, Spain. Methods: A Cross-sectional observational study was carried out between January and April 2024. The study included fifty volunteers aged 18–45 years, without any muscle tone affections, lower limb asymmetries, or history of lower limb surgeries. Demographic and anthropometric data were collected, including sex, age, height, weight, BMI, and leg length measure and thigh circumference at specific points. The sciatic nerve depth was measured using ultrasound imaging under the gluteal fold and in the posterior middle third of the thigh. Results: Correlation analysis revealed significant associations between thigh circumference at the proximal and middle third and sciatic nerve depth. A multiple linear regression model identified that the proximal thigh circumference was a significant predictor of sciatic nerve depth, explaining 44.5% of the variance. The variance increased to 49.7% when gender was added. The depth of the sciatic nerve in the middle third explained 38.2% of the variance. And the inclusion of gender in the model explained 40.8% of the variance for the middle third. Conclusions: This study identify significant predictors such as the thigh girth at the proximal and mid-third levels, gender, and the BMI. These findings suggest that clinicians can use these anthropometric measurements to estimate sciatic nerve depth more accurately, reducing the risk of accidental nerve injury and improve the precision and safety of needling procedures during invasive procedures.
His108Arg Transthyretin Amyloidosis—Shedding Light on a Distinctively Malignant Variant
Authors: Binder Christina , Schmid Lena Marie , Kronberger Christina , Poledniczek Michael , Rettl René , Schlein Johanna , Ermolaev Nikita , Ligios Luciana Camuz , Auer-Grumbach Michaela , Hengstenberg Christian , Eslam Roza Badr , Kastner Johannes , Bergler-Klein Jutta , Kammerlander Andreas Anselm , Duca Franz
Published: December 2024

Variant transthyretin amyloidosis cardiomyopathy (ATTRv-CM) is a rare form of cardiac amyloidosis associated with many possible mutations in the transthyretin gene, presenting as various distinct clinical phenotypes. Among these, the His108Arg mutation is the most prevalent TTR variant in Austria. However, data describing its clinical phenotype are lacking. This study aims to describe the characteristics, clinical manifestations, and outcomes of patients with the His108Arg variant focusing on cardiac involvement, disease progression, response to therapy, and imaging findings. Methods: Patients were enrolled from a prospective cardiac amyloidosis registry. The baseline assessment included comprehensive echocardiography, cardiac magnetic resonance imaging, a biomarker analysis, and a clinical evaluation. Patients were followed longitudinally, with outcomes such as arrhythmias, heart failure hospitalizations, and response to disease-targeted therapies recorded. Results: Between March 2012 and June 2024, a total of 20 carriers of the His108Arg variant were identified, with 12 exhibiting clear cardiac involvement and 8 remaining asymptomatic. The median age at diagnosis was 62.3 years with significant heterogeneity in the clinical presentation. Patients with ATTRv-CM had a high prevalence of atrial and ventricular arrhythmias, a reduced left ventricular ejection fraction, and elevated cardiac biomarkers. The majority received specific disease-modifying therapies, with varying tolerance and responses. A longitudinal follow-up indicated frequent arrhythmic events, heart failure exacerbations, and three cases of heart transplantation, underscoring the need for stringent monitoring and individualized management strategies. Conclusions: This study represents a unique, comprehensive analysis of the His108Arg variant in ATTR-CM, highlighting its clinical heterogeneity and significant impact on cardiac function and clinical outcomes.
Identifying Risk Factors for Lower Extremity Artery Disease (LEAD) in Cardiology Patients: The Role of Ankle-Brachial Index Measurement
Authors: Zambrzycki Bartosz , Łuczaj Michał , Dubatówka Marlena , Dańkowska Karolina , Nowicka Katarzyna , Knapp Małgorzata , Szpakowicz Anna , Kamiński Karol , Lisowska Anna
Published: December 2024

Background and aims: Lower Extremity Artery Disease (LEAD) is a predictor of atherosclerotic plaques in other locations and significantly increases the risk of death from cardiovascular events. This study aimed to identify cardiology patient subpopulations that should undergo Ankle-Brachial Index (ABI) measurement. Methods: A total of 800 patients hospitalized in the Department of Cardiology were included. Inclusion criteria were age over 40 years for men and over 45 years for women, with the ability to measure ABI. Results: The study group was divided into two subgroups based on ABI values, with LEAD (ABI ≤ 0.9) detected in 61 patients (7.6%). Among these, 45% exhibited symptoms of intermittent claudication. LEAD was significantly more common in patients with a lower ejection fraction, a history of myocardial infarction, coronary artery disease, coronary atherosclerosis, heart failure, hypercholesterolemia, diabetes, and in those with a past diagnosis of atherosclerosis. There was no statistical association with the incidence of ischemic stroke, renal failure, hypertension or a family history of cardiovascular disease. Average living conditions and financial status increased LEAD likelihood (p = 0.029; p = 0.018), while physical activity reduced it (p < 0.001). LEAD occurred more often in both current and former smokers. Patients with LEAD were more likely to be on statin therapy (p = 0.002). Higher hemoglobin A1c levels significantly increased the risk of LEAD. Conclusions: Identifying patients with risk factors for LEAD suggests that ABI measurement should be performed to detect LEAD early and implement appropriate diagnostic and therapeutic strategies.
ChatGPT’s Performance in Spinal Metastasis Cases—Can We Discuss Our Complex Cases with ChatGPT?
Authors: Heisinger Stephan , Salzmann Stephan N. , Senker Wolfgang , Aspalter Stefan , Oberndorfer Johannes , Matzner Michael P. , Stienen Martin N. , Motov Stefan , Huber Dominikus , Grohs Josef Georg
Published: December 2024

Background: The integration of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT-4, is transforming healthcare. ChatGPT’s potential to assist in decision-making for complex cases, such as spinal metastasis treatment, is promising but widely untested. Especially in cancer patients who develop spinal metastases, precise and personalized treatment is essential. This study examines ChatGPT-4’s performance in treatment planning for spinal metastasis cases compared to experienced spine surgeons. Materials and Methods: Five spine metastasis cases were randomly selected from recent literature. Consequently, five spine surgeons and ChatGPT-4 were tasked with providing treatment recommendations for each case in a standardized manner. Responses were analyzed for frequency distribution, agreement, and subjective rater opinions. Results: ChatGPT’s treatment recommendations aligned with the majority of human raters in 73% of treatment choices, with moderate to substantial agreement on systemic therapy, pain management, and supportive care. However, ChatGPT’s recommendations tended towards generalized statements, with raters noting its generalized answers. Agreement among raters improved in sensitivity analyses excluding ChatGPT, particularly for controversial areas like surgical intervention and palliative care. Conclusions: ChatGPT shows potential in aligning with experienced surgeons on certain treatment aspects of spinal metastasis. However, its generalized approach highlights limitations, suggesting that training with specific clinical guidelines could potentially enhance its utility in complex case management. Further studies are necessary to refine AI applications in personalized healthcare decision-making.
Exercise-Induced Oxygen Desaturation and Outcomes After Nintedanib Therapy for Fibrosing Interstitial Lung Disease in Patients Without Dyspnea
Authors: Okamoto Masaki , Yanagihara Toyoshi , Fujimoto Kiminori , Chikasue Tomonori , Tabata Kazuhiro , Zaizen Yoshiaki , Tominaga Masaki , Sumi Akiko , Nishii Yuuya , Matsuo Norikazu , Nouno Takashi , Matsuura Shuji , Kawaguchi Atsushi , Hoshino Tomoaki
Published: December 2024

Background: The degree of exercise-induced oxygen desaturation and outcomes following antifibrotic drug therapy in asymptomatic patients with fibrosing interstitial lung disease (FILD) remain unclear. Methods: We compared clinical data, incidence of annual FILD progression, overall survival, and tolerability after initiating nintedanib between 58 patients with dyspnea and 18 patients without. Annual FILD progression was defined as >10% decrease in forced vital capacity (FVC), >15% decrease in diffusing capacity of the lungs for carbon monoxide (DLCO), developing acute exacerbations, or FILD-related death within 1 year of starting nintedanib. Outcomes between the two groups were adjusted for covariates, including age, gender, FVC, DLCO, and diagnosis of idiopathic pulmonary fibrosis, all known prognostic factors for FILD. Results: In 6-min walk test, incidence of decrease to <90% of SpO2 was significantly lower in non-dyspnea group than in dyspnea group (24% vs. 55%, p = 0.028), but incidence of >4% decreases showed no significant difference (71% vs. 89%, p = 0.11) The incidence of annual progression was significantly lower in non-dyspnea than in dyspnea group (17% vs. 53%, adjusted p = 0.026). The relative change in DLCO was significantly slower in non-dyspnea group (adjusted p = 0.036), but FVC was not (adjusted p = 0.067). Overall survival was longer in non-dyspnea group (adjusted p = 0.0089). The discontinuation rate and therapeutic period of nintedanib were not significantly different between the groups. Conclusions: Asymptomatic patients with FILD have severe exercise-induced oxygen desaturation and better outcomes after nintedanib therapy than symptomatic patients. Antifibrotic drug therapy should not be avoided solely because of a lack of symptoms.
Influence of Grinding Tool Mesh Size and Rotational Speed on Post-Machining Quality of CFRP Laminates by Acceleration Signal and Surface Roughness Analyses
Authors: Li Lichen , Song Ziyuan , Zhang Xinxin , Wang Fangyuan , Song Pengda , Jin Kai , Lee Taeyong , Quagliato Luca
Published: December 2024

In the grinding process, acceleration signals in both the time and frequency domains are valuable for monitoring and controlling vibration patterns, as factors such as rotational speed and the grinding head design significantly influence machining quality, efficiency, and finishing performance. This study analyzes the acceleration signals by dividing them into three distinct stages, pairing this analysis with microscopic morphology to investigate the grinding behavior of carbon fiber-reinforced polymer (CFRP). The findings reveal that high-frequency and low-amplitude vibrations enhance polishing efficiency and quality, whereas low-frequency and high amplitudes adversely affect grinding quality. Acceleration vibrations are more stable during the intermediate grinding stage compared to the initial and final stages, which helps reduce surface roughness, regardless of the rotational speed or grinding head mesh size. In addition, a coarse mesh (#40) results in an uneven surface due to a large amount of removed material, whereas a fine one (#120) results in lower material removal but continuous vertical vibrations due to the impact with the grinding surface, also resulting in poor surface quality. Thus, controlling the tool’s size and rotational speed is essential in reducing the amplitude of the vibration, allowing for maximizing the grinded CFRP surface quality.
Towards Robust Supervised Pectoral Muscle Segmentation in Mammography Images
Authors: Aliniya Parvaneh , Nicolescu Mircea , Nicolescu Monica , Bebis George
Published: December 2024

Mammography images are the most commonly used tool for breast cancer screening. The presence of pectoral muscle in images for the mediolateral oblique view makes designing a robust automated breast cancer detection system more challenging. Most of the current methods for removing the pectoral muscle are based on traditional machine learning approaches. This is partly due to the lack of segmentation masks of pectoral muscle in available datasets. In this paper, we provide the segmentation masks of the pectoral muscle for the INbreast, MIAS, and CBIS-DDSM datasets, which will enable the development of supervised methods and the utilization of deep learning. Training deep learning-based models using segmentation masks will also be a powerful tool for removing pectoral muscle for unseen data. To test the validity of this idea, we trained AU-Net separately on the INbreast and CBIS-DDSM for the segmentation of the pectoral muscle. We used cross-dataset testing to evaluate the performance of the models on an unseen dataset. In addition, the models were tested on all of the images in the MIAS dataset. The experimental results show that cross-dataset testing achieves a comparable performance to the same-dataset experiments.
Elevated-Temperature Tensile Behavior and Properties of Inconel 718 Fabricated by In-Envelope Additive–Subtractive Hybrid Manufacturing and Post-Process Precipitation Hardening
Authors: Sarafan Sheida , Wanjara Priti , Pelletier Roger , Atabay Sila Ece , Gholipour Javad , Soost Josh , Amos Robert , Patnaik Prakash
Published: December 2024

The present study focuses on advancing one of the most popular AM techniques, namely, laser powder bed fusion (LPBF) technology, which has the ability to produce complex geometry parts with minimum material waste but continues to face challenges in minimizing the surface roughness. For this purpose, a novel hybrid manufacturing technology, which applies in a single setup (in-envelope) both LPBF technology and high-speed machining, was examined in this research for the fabrication of tensile specimens with three different surface finish conditions: as-built, hybrid (in-envelope machining) and post-machining (out-of-envelope) on Inconel® alloy 718, hereafter referred to as IN718. As the application of the IN718 alloy in service is typically specified in the precipitation-hardened condition, three different heat treatments were applied to the tensile specimens based on the most promising thermal cycles identified previously for room-temperature tensile properties by the authors. The as-built (AB) specimens had the highest average surface roughness (Ra) of 5.1 μm ± 1.6 μm, which was a significant improvement (five-fold) on the hybrid (1.0 μm ± 0.2 μm) and post-machined (0.8 μm ± 0.5 μm) surfaces. The influence of this surface roughness on the mechanical properties was studied both at ambient temperature and at 650 °C, which is close to the maximum service temperature of this alloy. Regardless of the surface conditions, the room-temperature mechanical properties of the as-fabricated IN718 specimens were within the range of properties reported for standard wrought IN718 in the annealed condition. Nonetheless, detailed examination of the strain localization behavior during tensile testing using digital image correlation showed that the IN718 specimens with AB surfaces exhibited lower ductility (global and local) relative to the hybrid and post-machined ones, most likely due to the higher surface roughness and near-surface porosity in the former. At 650 °C, even though the mechanical properties of all the heat-treated IN718 specimens surpassed the minimum specifications for the wrought precipitation-hardened IN718, the AB surface condition showed up to 4% lower strength and 33–50% lower ductility compared with the hybrid and PM surface conditions. Microfocus X-ray computed tomography (µXCT) of the fractured specimens revealed the presence of numerous open cracks on the AB surface and a predisposition for the near-surface pores to accelerate rupture, leading to premature failure at lower strains.
Circumferential Background Field Temperature Inversion Prediction and Correction Based on Ground-Based Microwave Remote Sensing Data
Authors: Wu Changzhe , Zhao Yuxin , Wu Peng , Deng Xiong
Published: December 2024

Microwave radiometers are passive remote sensing devices that provide important observational data on the state of the oceanic and terrestrial atmosphere. Temperature retrieval accuracy is crucial for radiometer performance. However, inversions during strong convective weather or seasonal phenomena are short-lived and spatially limited, making it challenging for neural network algorithms trained on historical data to invert accurately, leading to significant errors. This paper proposes a long short-term memory (LSTM) network forecast correction model based on the temperature inversion phenomenon to resolve these large temperature inversion errors. The proposed model leverages the seasonal periodicity of atmospheric temperature profiles in historical data to form a circumferential background field, enabling the prediction of expected background profiles for the forecast day based on temporal and spatial continuity. The atmospheric profiles obtained using the radiometer retrieval are compensated with the forecast temperature inversion vector on the forecast day to obtain the final data. In this study, the accuracy of the forecast correction model was verified utilizing meteorological records for the Taizhou area from 2013 to 2017. Using a hierarchical backpropagation network based on the residual module for comparison, which had a forecast accuracy error of 0.0675 K, the error of our new model was reduced by 34% under the temperature inversion phenomenon. Meanwhile, error fluctuations were reduced by 33% compared with the residual network algorithm, improving the retrieval results’ stability in the temperature inversion state. Our results provide insights to improve radiometer remote sensing accuracy.
Research on Trajectory Tracking of Robotic Fish Based on DBO-Backstepping Control
Authors: Yang Huibao , Hu Shuheng , Li Bangshuai , Gao Xiujing , Huang Hongwu
Published: December 2024

Advancements in underwater robotic fish have generated new requirements for diverse underwater scenarios, presenting challenges in attaining efficient and precise control, particularly in the realm of classical trajectory tracking. In response to the inherently nonlinear and underactuated characteristics of underwater robot control design, this study introduces a trajectory tracking backstepping control method for the planar motion of underactuated underwater robotic systems. The method is grounded in dung beetle optimization (DBO) backstepping control. Firstly, a dynamic model of a single-node tail-actuated robotic fish is introduced, and the model is averaged. Based on the averaged model and Lyapunov functions, the design of the backstepping control scheme is derived to ensure the stability of the control system. Subsequently, the derived backstepping control is further optimized through the application of the DBO optimization algorithm, then the optimal backstepping control (OBC) approach is presented. Finally, the proposed control scheme is applied to the simulation experiments with the robotic fish. The simulation results for straight-line tracking indicate that OBC is superior to the PID method in terms of overshoot performance, reducing the average overshoot from 0.23 to 0.02. Additionally, OBC reduces the average velocity error from 0.043 m/s (backstepping control) to 0.035 m/s, which is lower than that of the PID method, with an average velocity error of 0.054 m/s. In turn tracking, the simulation results reveal that OBC reduces the average velocity error from 0.067 m/s (backstepping control) to 0.055 m/s and demonstrates better performance than the PID method, with an average velocity error of 0.066 m/s. Under various disturbance conditions, the simulations reveal that OBC exhibits superior performance when compared to other control methods.
Calibration of Marine Pressure Sensors with a Combination of Temperature and Pressure: A Case Study of SBE 37-SM
Authors: Zhang Muzi , Sun Qingquan , Bai Xiaoxue , Yang Bo , Zhao Wei , Wu Chi
Published: December 2024

Accurate pressure measurement is crucial for understanding ocean dynamics in marine research. However, pressure sensors based on strain measurement principles are significantly affected by temperature variations, impacting the accuracy of depth measurements. This study investigates the SBE37-SM sensor and presents an improved calibration method based on a constant-pressure, variable-temperature scheme that effectively addresses temperature-induced deviations in pressure measurement. Experiments were conducted across a pressure range of 2000 dbar to 6000 dbar and a temperature range of 2 °C to 35 °C, establishing a comprehensive pressure–temperature calibration grid. The results show that, at a pressure of 6000 dbar, temperature-induced variations in readings for brand new SBE37-SM sensors can reach up to 9 dbar, while, for used sensors, they exceed 12 dbar, following a U-shaped trend. After applying a polynomial regression model for calibration, these variations were reduced to within ±0.5 dbar, significantly reducing the measurement uncertainty of the sensors in complex marine environments. This method underscores the necessity of further optimizing the CTD system’s temperature compensation mechanism during calibration and highlights the importance of regular calibration to minimize measurement uncertainty.
The Number of Remaining Teeth—A Predictability Factor for a Certain Type of Cardiovascular Condition in a Group of Hospitalized Individuals
Authors: Mihart Mirela , Mercuț Veronica , Popescu Sanda Mihaela , Iacov-Crăițoiu Monica Mihaela , Ionescu Mihaela , Glodeanu Adina Dorina , Rădoi Alexandra Maria , Scrieciu Monica
Published: December 2024

Background: The aim of this study was to determine whether the oral parameter reflecting the total number of remaining permanent teeth (NRT) on both arches represents a predictability factor for a certain type of cardiovascular condition. Methods: This study included 84 subjects (40 males and 44 females) with ages between 50 and 89 years old, hospitalized in the Cardiology Department, who required dental examinations and specialized therapeutic interventions within the Emergency Dental Department of the same medical facility. Results: The study participant’s data were statically analyzed. An unadjusted oral parameter NRT < 21 may represent a statistically significant predictor of developing cardiomyopathy (OR = 8.00, 95%CI = 2.78–23.06, p < 0.0005), heart valve disease and arterial hypertension, in association with other comorbidities (except for metabolic or pulmonary comorbidities). The regression analyses revealed a borderline-significant association between the adjusted NRT and metabolic comorbidities or coronary disease (OR = 0.37, 95%CI = 0.13–1.01, p = 0.052). Conclusions: Overall, the NRT may be considered a predictive marker that is relative to the risk of exhibiting cardiovascular conditions.
Dynamics of Stock Prices on the Bulgarian Stock Exchange Against the Background of Fundamentals
Authors: Nenkov Dimiter , Hristozov Yanko
Published: December 2024

The subject of this research is the performance of stocks on the Bulgarian Stock Exchange (BSE). The main issue of interest is whether the index price levels are supported by fundamentals or if there is a bubble or undervaluation on the BG stock market. The purpose of this research is to explore the true level of indexes at the BSE, as dictated by fundamentals, and compare it with actual index levels. The research method is based on the comparative analysis of price-earnings ratios (PEs) and price-to-book ratios (PBVs) of the index during the analyzed period. The 2024 PE and PBV of the index are compared with fundamental PE and PBV ratios of the BGBX 40 index, which are derived from the fundamentals, determining the value of stocks in the index. The actual PE and PBV ratios of BGBX 40 look rather low compared with the ones in the leading developed stock markets. At the same time, however, the results of this analysis show that these current PE and PBV ratios are much higher than the benchmark values of the fundamental PE and PBV ratios. In this regard, the current price levels of stocks at the Bulgarian Stock Exchange in 2024 do not seem supported by fundamentals.
Assessing the Transformative Impact of AI Adoption on Efficiency, Fraud Detection, and Skill Dynamics in Accounting Practices
Authors: Bou Reslan Fadi , Jabbour Al Maalouf Nada
Published: December 2024

Based on the significance of AI adoption in the accounting field, this study intends to investigate its impact on the accounting profession; specifically on the efficiency and quality of financial data, financial fraud detection and tax filings, and work activities and skill requirements of accountants. A quantitative method was employed, and a questionnaire was sent to a purposive sample of 454 accountants. The results confirm that AI adoption in accounting significantly enhances the efficiency and quality of financial data, positively influences financial fraud detection and tax filings, and alters work activities and skill requirements within the accounting profession. These results highlight the transformative role of AI in modern accounting practices. Notably, the study incorporates demographic variables such as age and experience, uncovering their mediating influence on perceptions of AI’s impact. Conducted in Lebanon, a developing country facing economic and political instability, the research provides valuable contextual insights into AI adoption under challenging conditions. This study contributes to the literature by empirically demonstrating AI’s transformative role in accounting, offering both theoretical advancements and actionable recommendations for professionals aiming to harness AI for improved performance and innovation.
The Influence of Liquidity Risk on Financial Performance: A Study of the UK’s Largest Commercial Banks
Authors: Eltweri Ahmed , Sawan Nedal , Al-Hajaya Krayyem , Badri Zineb
Published: December 2024

The Basel III regulations turned the banking industry around worldwide and created new challenges for banks’ financial stability, particularly in liquidity management. As the demand for compliance with the rules started to grow, the inability of banks worldwide to meet the Basel III requirements about liquidity shifted the way they work. This paper highlights the complex relationship between liquidity and bank profitability in the post-Basel III era. Based on market presence and influence, 10 publicly traded UK commercial banks were selected for 2015–2021. Panel data, using FGLS regression models, were tested to elaborate in detail how the liquidity risk indicators determine banks’ performance, as measured by different profitability indicators. The findings were diversified: some showed that the relationship between liquidity risk indicators and bank profitability is contingent upon the interaction of several dimensions that range from the internal aspects of the banks themselves to general macroeconomic factors. This study provides vital insights into the current literature on risk management, especially about liquidity risks and their effect on bank performance. The findings of this study contribute meaningfully to the knowledge base for banks, regulators, and policymakers. This will contribute to better decision-making, financial stability, and long-term development within the UK’s banking industry.
Construction of Ecological Security Pattern Based on Ecosystem Services, Sensitivity, Connectivity, and Resistance—A Case Study in the Huang-Huai-Hai Plain
Authors: Li Zhuo , Liu Jiachen , Ma Rongqiang , Xie Wenhui , Zhao Xiaoyu , Wang Zhaohai , Zhang Baolei , Yin Le
Published: December 2024

Constructing an ecological security pattern (ESP) is an effective measure to solve current regional ecological problems, alleviate the contradiction between rapid urbanization and ecological protection, and provide an important spatial path for effective management of regional ecosystems. This study integrated the importance of ecosystem services, ecological sensitivity, landscape connectivity, and ecological resistance, and constructed ESP in the Huang-Huai-Hai Plain using analytical hierarchy process (AHP), minimum cumulative model (MCR), and gravity model. A total of 13 ecological sources, 52 ecological corridors (22 first-level corridors, 9 s-level corridors, and 21 third-level corridors), and 201 ecological nodes were identified. The ecological sources were mainly distributed around the Huang-Huai-Hai Plain, and the ecological corridors showed a circular distribution, while the ecological nodes were mainly distributed at the intersection of several ecological corridors. In addition, the built-up land in the Huang-Huai-Hai Plain increased by 40% in the past 20 years, posing a serious threat to ecological sources and corridors, especially ecological sources adjacent to cities such as Beijing, Jinan, and Qingdao, as well as ecological corridors crossing urban areas such as Beijing, Tianjin, and Zhengzhou. The methodological system of regional ESP constructed in this study can provide theoretical foundations and methodological support for the construction of ESP and the implementation of ecological protection in other regions.
Monitoring and Mapping a Decade of Regenerative Agricultural Practices Across the Contiguous United States
Authors: Jones Matthew O. , Figueiredo Gleyce , Howson Stephanie , Toro Ana , Rundquist Soren , Garner Gregory , Della Nave Facundo , Delgado Grace , Yi Zhuang-Fang , Ahn Priscilla , Barrett Samuel Jonathan , Bader Marie , Rollend Derek , Bendixen Thaïs , Albrecht Jeff , Sogomo Kangogo , Musse Zam Zam , Shriver John
Published: December 2024

Satellite remote sensing enables monitoring of regenerative agriculture practices, such as crop rotation, cover cropping, and conservation tillage to allow tracking and quantification at unprecedented scales. The Monitor system presented here capitalizes on the scope and scale of these data by integrating crop identification, cover cropping, and tillage intensity estimations annually at field scales across the contiguous United States (CONUS) from 2014 to 2023. The results provide the first ever mapping of these practices at this temporal fidelity and spatial scale, unlocking valuable insights for sustainable agricultural management. Monitor incorporates three datasets: CropID, a deep learning transformer model using Sentinel-2 and USDA Cropland Data Layer (CDL) data from 2018 to 2023 to predict annual crop types; the living root data, which use Normalized Difference Vegetation Index (NDVI) data to determine cover crop presence through regional parameterization; and residue cover (RC) data, which uses the Normalized Difference Tillage Index (NDTI) and crop residue cover (CRC) index to assess tillage intensity. The system calculates field-scale statistics and integrates these components to compile a comprehensive field management history. Results are validated with 35,184 ground-truth data points from 19 U.S. states, showing an overall accuracy of 80% for crop identification, 78% for cover crop detection, and 63% for tillage intensity. Also, comparisons with USDA NASS Ag Census data indicate that cover crop adoption rates were within 20% of estimates for 90% of states in 2017 and 81% in 2022, while for conventional tillage, 52% and 25% of states were within 20% of estimates, increasing to 75% and 67% for conservation tillage. Monitor provides a comprehensive view of regenerative practices by crop season for all of CONUS across a decade, supporting decision-making for sustainable agricultural management including associated outcomes such as reductions in emissions, long term yield resiliency, and supply chain stability.
A Simplified Integrative Approach to Assessing Productive Sustainability and Livelihoods in the “Amazonian Chakra” in Ecuador
Authors: Torres Bolier , Luna Marcelo , Tipán-Torres Cristhian , Ramírez Patricia , Muñoz Julio C. , García Antón
Published: December 2024

This study integrates the Sustainable Livelihoods Framework (SLF) and the Sustainability Assessment of Food and Agriculture Systems (SAFA) to evaluate the sustainability and livelihood dynamics of the Amazonian Chakra system, recently designated as a Globally Important Agricultural Heritage System (GIAHS) by the FAO. Using data from 330 producers across three associations (Kallari, Wiñak, and Tsatsayaku) in the Ecuadorian Amazon, the study employed discriminant analysis to assess governance, environmental integrity, economic resilience, social well-being, and livelihood capitals. Results revealed significant disparities across associations in key sustainability dimensions. Kallari and Wiñak demonstrated stronger governance, environmental integrity and economic resilience, linked to mature organizational structures and effective governance mechanisms. In contrast, Tsatsayaku excelled in demographic diversity and larger landholdings but lagged in governance and environmental practices. Extreme poverty affected 82% of households, with Tsatsayaku having the lowest rate (69%) compared to Wiñak (89%) and Kallari (87%). Chakra income contributed significantly to livelihoods, accounting for 44% of total income in Kallari, 37% in Wiñak, but only 16% in Tsatsayaku, whose producers relied more on off-farm activities and livestock. The integration of SLF and SAFA methodologies offered a nuanced understanding of sustainability, highlighting the importance of governance, financial strategies, and environmental conservation in promoting resilience. Policies should prioritize participatory governance, market transparency, and credit access to address disparities and strengthen sustainability. These findings underscore the critical role of the Amazonian Chakra as a sustainable agroforestry system, providing economic and cultural benefits, while emphasizing the need for tailored interventions to enhance the sustainability of Amazonian producer associations.
Assessing the Post-Fire Recovery of Mined-Under Temperate Highland Peat Swamps on Sandstone
Authors: Anzooman Monia , McKenna Phill B. , Ufer Natasha , Baumgartl Thomas , McIntyre Neil , Shaygan Mandana
Published: December 2024

The Temperate Highland Peat Swamps on Sandstone (TPHSS) in the Sydney Basin of Australia provide critical ecological and hydrological services but are increasingly threatened by wildfires and human activities such as underground mining. The 2019–2020 wildfires severely impacted these swamps, raising concerns about their resilience and recovery. This study assessed the post-fire recovery of swamps and evaluated the ability of remote sensing techniques to determine recovery patterns. Specifically, it investigated differences in post-fire recovery patterns between swamps where groundwater levels and soil moisture contents were impacted by underground mining and those unimpacted by mining. Two mined and one non-mined swamp were studied. Soil moisture contents were monitored at five sites, and previously performed vegetation field surveys (2016–2022) were utilized. Remote sensing indices, including the Normalized Difference Vegetation Index (NDVI) and Soil Moisture Index (SMI), were calculated and compared with ground data to map post-fire responses. The results showed that hydrological conditions directly affect post-fire recovery, with slower recovery in mined swamps compared to non-mined ones. This study demonstrated that NDVI and SMI indices can effectively determine recovery patterns in terms of vegetation and hydrology. However, evaluating the recovery pattern of specific vegetation species requires more frequent field surveys.