bluuebunny/crossref_metadata_2025 huggingface dataset:
Personality traits and health-related behaviors in medical students facing a stressful event
Authors: Tokarek Julita , Kapuścik Angelika , Kućmierz Joanna , Kowalczyk Edward , Karbownik Michał Seweryn
Published: October 2023

Background

It is believed that personality traits have an impact on the propensity to change and maintain favorable lifestyle habits. This issue has been raised by multiple studies, however, none of them appeared to focus on population under severe psychological stress. The aim of the present study was to investigate the link between personality traits and health-related behaviors and measures such as dietary intake of specific food products, physical activity, body-mass index and the use of cigarettes in medical students facing a stressful event.

Methods

The study included a cohort of third-year medical students from the Medical University of Lodz, Poland, facing a stressful subject exam during the first COVID-19-related lockdown. At baseline, personality traits were evaluated with the use of the Polish version of the Big Five Inventory-Short questionnaire. Then, consumption of selected food products was monitored with the use of seven-day electronic dietary record. Also, some other health-related data was collected (body-mass index, physical activity and the use of cigarettes). General Linear Modeling techniques, logistic regression and exploratory factor analysis were applied to analyze the data.

Results

Four hundred and forty-four students completed the study. A two-factor pattern of food consumption was discovered by the exploratory factor analysis in the study group (34% of the variance explained). Higher conscientiousness, but not the other personality traits, was found to be significantly associated with generally healthier lifestyle manifested by higher consumption of vegetables, wholegrain products, fruits and nuts (adjusted beta 0.16, 95%CI 0.06 to 0.26, pη2 = 2.3%, p = 0.0015) and lower cigarette smoking (adjusted odds ratio 0.84, 95%CI 0.75 to 0.94, p = 0.0020), but insignificantly with physical activity and body-mass index.

Conclusion

Severely stressed medical students expressing high conscientiousness tend to present healthier behaviors. Therefore, interventions aimed at improving lifestyle habits in students with low conscientiousness might be useful.
Does depression affect the association between prosocial behavior and anxiety? A cross-sectional study of students in China
Authors: Zhang Xiyan , Lv Tao , Leavey Gerard , Zhu Na , Li Xin , Li Yan , Chen Yanhua
Published: October 2023

Background

A growing number of studies have suggested that adolescents’ prosocial behavior can protect against depression and anxiety. It is known that anxiety and depression are often comorbid. However, it remains unclear if when depression is present, prosocial behavior remains protective against anxiety, and if when anxiety is present, prosocial behavior remains protective against depression. The purpose of this study was to determine the association of anxiety and depressive with prosocial behavior.

Methods

A large representative sample of middle-school students was recruited for a cross-sectional study and completed standardized instruments (the Children’s Depression Inventory (CDI), Screen for Child Anxiety Related Emotional Disorders–Child version (SCARED-C), and Strengths and Difficulties Questionnaire (SDQ)). We used structural equation modeling (SEM) to examine the protective effect of prosocial behavior against anxiety when depression was present.

Results

A survey of 3,510 students was conducted, and the final analysis included 3,169 students, comprising 1,616 boys (51.0%) and 1,553 girls (49.0%), with a mean age of 13.09 years (SD = 1.31, range 11–16).The prevalence rates of anxiety and depression in early adolescents were 31.6 and 16.7%, respectively. More than two-thirds of depressed adolescents had comorbid anxiety, while more than one-third of anxious adolescents had comorbid depression. Regression models showed that compared with depressed adolescents, adolescents without depressive symptoms exhibited a significant negative correlation between prosocial behaviors and anxiety and depression (β = −0.01, p > 0.01, β = −0.06, p > 0.01; β = −0.11, p < 0.01, and β = −0.17, p < 0.01). There was no difference in the relationship between prosocial behavior and depression between anxious and non-anxious adolescents (p > 0.05).

Conclusion

Anxiety and depression are common in adolescence and are often comorbid disorders. However, the comorbidity is not symmetrical. Specifically, the protective effect of prosocial behavior against anxiety is weaker in depressed adolescents. Findings are discussed in light of related research and theory, and insights for intervention programs and future research are presented.
Silvopasture offers climate change mitigation and profit potential for farmers in the eastern United States
Authors: Greene Harry , Kazanski Clare E. , Kaufman Jeremy , Steinberg Ethan , Johnson Kris , Cook-Patton Susan C. , Fargione Joe
Published: October 2023

Silvopasture—integrating trees, forage, and grazing livestock on the same piece of land—is increasingly popular, given its potential to store carbon (C) and improve farmers’ livelihoods. We examined the C and economic implications of adding different silvopastoral systems to existing pastures in historically forested areas of the eastern United States (U.S.). We assessed nine distinct systems, varying by species and product (timber, nuts, and fodder for livestock), for two market scenarios: one based on current demand and one that assumes increased demand for products from silvopasture systems. For each system, we assessed C storage (biomass) and economics (internal rates of return (IRR) with and without C payments). We find that silvopasture in the eastern U.S. could expand by 5.6–25.3 million hectares under base case and full adoption scenarios (equaling a 6% increase in the global footprint of silvopasture), and could capture up to 4.9 or 25.6 Tg CO2e yr.−1, respectively. Expansion of silvopasture in these scenarios would come largely from demand for fodder as a supplemental feed, as well as specialty timber products. Per ha mitigation potential varied widely (0.5–6.5 tCO2e ha−1 yr.−1), due to species differences in C accumulation rates. Economics differed too, with some systems offering short break-even timelines (e.g., 7–9 years for fodder systems), and others costing more up front but having greater long-term returns (e.g., Chestnut). Furthermore, while some systems are profitable without any price on C (e.g., fodder-based silvopasture offers 6–14% 10-year IRRs without a price on C), higher payments for C would likely be necessary to unleash broad investment in timber and nut-based silvopasture. Our analysis included planting, maintenance, and harvest costs and tree product revenue. Future work is needed to fully incorporate additional considerations, like loss of grazing use during establishment, shade-induced effects on forage production, and livestock productivity. Furthermore, specific economic, ecological, site- and operation-level considerations are critical to evaluate the appropriateness of silvopasture systems for a given setting. This analysis suggests that across the eastern U.S., silvopasture could offer both climate change mitigation and enhanced profitability for farmers, with notable differences in the system-specific magnitude of opportunity.
An Automatic Speaker Clustering Pipeline for the Air Traffic Communication Domain
Authors: Khalil Driss , Prasad Amrutha , Motlicek Petr , Zuluaga-Gomez Juan , Nigmatulina Iuliia , Madikeri Srikanth , Schuepbach Christof
Published: October 2023

In air traffic management (ATM), voice communications are critical for ensuring the safe and efficient operation of aircraft. The pertinent voice communications—air traffic controller (ATCo) and pilot—are usually transmitted in a single channel, which poses a challenge when developing automatic systems for air traffic management. Speaker clustering is one of the challenges when applying speech processing algorithms to identify and group the same speaker among different speakers. We propose a pipeline that deploys (i) speech activity detection (SAD) to identify speech segments, (ii) an automatic speech recognition system to generate the text for audio segments, (iii) text-based speaker role classification to detect the role of the speaker—ATCo or pilot in our case—and (iv) unsupervised speaker clustering to create a cluster of each individual pilot speaker from the obtained speech utterances. The speech segments obtained by SAD are input into an automatic speech recognition (ASR) engine to generate the automatic English transcripts. The speaker role classification system takes the transcript as input and uses it to determine whether the speech was from the ATCo or the pilot. As the main goal of this project is to group the speakers in pilot communication, only pilot data acquired from the classification system is employed. We present a method for separating the speech parts of pilots into different clusters based on the speaker’s voice using agglomerative hierarchical clustering (AHC). The performance of the speaker role classification and speaker clustering is evaluated on two publicly available datasets: the ATCO2 corpus and the Linguistic Data Consortium Air Traffic Control Corpus (LDC-ATCC). Since the pilots’ real identities are unknown, the ground truth is generated based on logical hypotheses regarding the creation of each dataset, timing information, and the information extracted from associated callsigns. In the case of speaker clustering, the proposed algorithm achieves an accuracy of 70% on the LDC-ATCC dataset and 50% on the more noisy ATCO2 dataset.
Real-Time TDM-Based Expert Clinical Pharmacological Advice Program for Attaining Aggressive Pharmacokinetic/Pharmacodynamic Target of Continuous Infusion Meropenem in the Treatment of Critically Ill Patients with Documented Gram-Negative Infections Undergoing Continuous Veno-Venous Hemodiafiltration
Authors: Gatti Milo , Rinaldi Matteo , Tonetti Tommaso , Siniscalchi Antonio , Viale Pierluigi , Pea Federico
Published: October 2023

(1) Objectives: to describe the pharmacokinetic/pharmacodynamic (PK/PD) profile of continuous infusion (CI) meropenem in critical patients with documented Gram-negative infections undergoing continuous veno-venous hemodiafiltration (CVVHDF) and to assess the relationship with microbiological outcome. (2) Methods: Data were retrospectively retrieved for patients admitted to the general and the post-transplant intensive care units in the period October 2022–May 2023 who underwent CVVHDF during treatment with CI meropenem optimized by means of a real-time therapeutic drug monitoring (TDM)-based expert clinical pharmacological advice (ECPA) program for documented Gram-negative infections. Steady-state meropenem plasma concentrations were measured, and the free fractions (fCss) were calculated. Meropenem total clearance (CLtot) was calculated at each TDM assessment, and the impact of CVVHDF dose intensity and of residual diuresis on CLtot was investigated by means of linear regression. Optimal meropenem PK/PD target attainment was defined as an fCss/MIC ratio > 4. The relationship between meropenem PK/PD target attainment and microbiological outcome was assessed. (3) Results: A total of 24 critical patients (median age 68 years; male 62.5%) with documented Gram-negative infections were included. Median (IQR) meropenem fCss was 19.9 mg/L (17.4–28.0 mg/L). Median (IQR) CLtot was 3.89 L/h (3.28–5.29 L/h), and median (IQR) CVVHDF dose intensity was 37.4 mL/kg/h (33.8–44.6 mL/kg/h). Meropenem dosing adjustments were provided in 20 out of 24 first TDM assessments (83.3%, all decreases) and overall in 26 out of the 51 total ECPA cases (51.0%). Meropenem PK/PD target attainment was always optimal, and microbiological eradication was achieved in 90.5% of assessable cases. (4) Conclusion: the real-time TDM-guided ECPA program was useful in attaining aggressive PK/PD targeting with CI meropenem in critically ill patients undergoing high-intensity CVVHDF and allowed microbiological eradication in most cases with dosing regimens ranging between 125 and 500 mg q6h over 6 h.
24/7 Therapeutic Drug Monitoring of Beta-Lactam Antibiotics with CLAM-2000
Authors: Khromov Tatjana , Dihazi Gry Helene , Brockmeyer Phillipp , Fischer Andreas , Streit Frank
Published: October 2023

Background: The aim of this study was to evaluate the CLAM-2000 automated preanalytical sample preparation module with integrated liquid chromatography–mass spectrometry/mass spectrometry (LC-MS/MS) as a method for 24/7 therapeutic drug monitoring (TDM) of beta-lactam antibiotics in routine clinical diagnostics. Methods: Method validation was performed using quality control samples. Method comparison was performed with routine samples from patients treated with beta-lactam antibiotics. Results: The determination of piperacillin, meropenem, ceftazidime, flucloxacillin, and cefotaxime was performed using D5-piperacillin and D6-meropenem as internal standards. The linearity of the method was within the therapeutic range of beta-lactam antibiotics. The imprecision and accuracy data obtained from quality control samples were within 15%, and the imprecision of patient samples on the instrument was less than the 5% coefficient of variation (CV). Internal standards stored in the instrument at 9 °C for at least one week were stable, which facilitated reagent use and storage. Conclusion: The CLAM-2000 (Shimadzu, Kyoto, Japan) provides reproducible results as an established routine instrument and is a useful tool for 24/7 TDM of beta-lactam antibiotics in routine clinical diagnostics.
Galectin-3’s Complex Interactions in Pancreatic Ductal Adenocarcinoma: From Cellular Signaling to Therapeutic Potential
Authors: Dimitrijevic Stojanovic Milica , Stojanovic Bojan , Radosavljevic Ivan , Kovacevic Vojin , Jovanovic Ivan , Stojanovic Bojana S. , Prodanovic Nikola , Stankovic Vesna , Jocic Miodrag , Jovanovic Marina
Published: October 2023

Galectin-3 (Gal-3) plays a multifaceted role in the development, progression, and prognosis of pancreatic ductal adenocarcinoma (PDAC). This review offers a comprehensive examination of its expression in PDAC, its interaction with various immune cells, signaling pathways, effects on apoptosis, and therapeutic resistance. Additionally, the prognostic significance of serum levels of Gal-3 is discussed, providing insights into its potential utilization as a biomarker. Critical analysis is also extended to the inhibitors of Gal-3 and their potential therapeutic applications in PDAC, offering new avenues for targeted treatments. The intricate nature of Gal-3’s role in PDAC reveals a complex landscape that demands a nuanced understanding for potential therapeutic interventions and monitoring.
Influence of the Synthetic Cannabinoid Agonist on Normal and Inflamed Cartilage: An In Vitro Study
Authors: Shang Jiangyinzi , Hines Sophie , Makarczyk Meagan J. , Lin Hang , Hogan MaCalus V. , Yan Alan
Published: October 2023

Medical marijuana (versus Marijuana derivatives) has been reported to possess analgesic, immunomodulatory, and anti-inflammatory properties. Recent studies in animal models of arthritis showed that cannabinoids, a group of compounds produced from marijuana, may attenuate joint damage. However, whether marijuana byproducts can suppress osteoarthritis (OA)-associated cartilage degradation has not been previously reported. In this study, human chondrocytes were isolated from healthy articular cartilage, expanded in vitro, and subjected to pellet culture in a chondrogenic medium to form cartilage tissues. We first examined the influence of marijuana byproducts on normal cartilage by treating chondrocyte-derived tissues with a synthetic cannabinoid agonist, Win-55,212-2 (Win), at different concentrations ranging from 0.01 to 10 µM. After treatment, the tissue phenotype was assessed using glycosaminoglycan (GAG) assay and real-time PCR. Next, cartilage tissues were pre-treated with interleukin-1β (IL-1β) to generate an inflamed phenotype and then cultured with Win to assess its therapeutic potential. The results showed that at concentrations lower than 1 µM, Win treatment did not significantly impair chondrocyte growth or cartilage formation capacity, but at a high level (>10 µM), it remarkably suppressed cell proliferation. Interestingly, under the condition of IL-1β pre-treatment, Win was able to partially preserve the cartilage matrix and decrease the production of interleukin-6, although the protective effect was mild. Taken together, our results indicated that the variable effects of Win on chondrocytes occur in a concentration-dependent manner. Whether cannabinoid derivatives can be used to treat cartilage degradation or can alter other structural changes in OA deserve further investigation.
The Role of the Adrenal–Gut–Brain Axis on Comorbid Depressive Disorder Development in Diabetes
Authors: Mázala-de-Oliveira Thalita , Silva Bruna Teixeira , Campello-Costa Paula , Carvalho Vinicius Frias
Published: October 2023

Diabetic patients are more affected by depression than non-diabetics, and this is related to greater treatment resistance and associated with poorer outcomes. This increase in the prevalence of depression in diabetics is also related to hyperglycemia and hypercortisolism. In diabetics, the hyperactivity of the HPA axis occurs in parallel to gut dysbiosis, weakness of the intestinal permeability barrier, and high bacterial-product translocation into the bloodstream. Diabetes also induces an increase in the permeability of the blood–brain barrier (BBB) and Toll-like receptor 4 (TLR4) expression in the hippocampus. Furthermore, lipopolysaccharide (LPS)-induced depression behaviors and neuroinflammation are exacerbated in diabetic mice. In this context, we propose here that hypercortisolism, in association with gut dysbiosis, leads to an exacerbation of hippocampal neuroinflammation, glutamatergic transmission, and neuronal apoptosis, leading to the development and aggravation of depression and to resistance to treatment of this mood disorder in diabetic patients.
Assessment of Oxidative Stress by Detection of H2O2 in Rye Samples Using a CuO- and Co3O4-Nanostructure-Based Electrochemical Sensor
Authors: Mihailova Irena , Krasovska Marina , Sledevskis Eriks , Gerbreders Vjaceslavs , Mizers Valdis , Ogurcovs Andrejs
Published: October 2023

Hydrogen peroxide is essential for biological processes and normally occurs in low concentrations in living organisms. However, exposure of plants to biotic and abiotic stressors can disrupt their defense mechanisms, resulting in oxidative stress with elevated H2O2 levels. This oxidative stress can damage cell membranes, impair photosynthesis, and hinder crucial plant functions. The primary focus of this article is to investigate the effects of salt and herbicide stress factors on the growth of rye samples. For precise quantification of the released H2O2 concentration caused by these stress factors, a non-enzymatic electrochemical sensor was developed, employing nanostructured CuO and Co3O4 oxides. Nanostructured electrodes exhibit high sensitivity and selectivity towards H2O2, making them suitable for detecting H2O2 in real samples with complex compositions. Rye samples exposed to NaCl- and glyphosate-induced stress demonstrated notable concentrations of released H2O2, displaying an increase of up to 30% compared to the control sample. Moreover, optical absorption measurements revealed a substantial decrease in chlorophyll concentration (up to 35% compared to the control group) in rye samples where elevated H2O2 levels were detected through electrochemical methods. These findings provide further evidence of the harmful effects of elevated H2O2 concentrations on plant vital functions.
A New Matrix Statistic for the Hausman Endogeneity Test under Heteroskedasticity
Authors: Papadopoulos Alecos
Published: October 2023

We derive a new matrix statistic for the Hausman test for endogeneity in cross-sectional Instrumental Variables estimation, that incorporates heteroskedasticity in a natural way and does not use a generalized inverse. A Monte Carlo study examines the performance of the statistic for different heteroskedasticity-robust variance estimators and different skedastic situations. We find that the test statistic performs well as regards empirical size in almost all cases; however, as regards empirical power, how one corrects for heteroskedasticity matters. We also compare its performance with that of the Wald statistic from the augmented regression setup that is often used for the endogeneity test, and we find that the choice between them may depend on the desired significance level of the test.
Comparing Classical and Bayesian Panel Kink Regression Frameworks in Estimating the Impact of Economic Freedom on Economic Growth
Authors: Mensaklo Emmanuel , Chaiboonsri Chukiat , Chokethaworn Kanchana , Sriboonchitta Songsak
Published: October 2023

This study aims to accomplish three main tasks. Firstly, it seeks to determine the more appropriate choice between classical and Bayesian methods in estimating a pooled panel kink regression model under the condition of a known but bounded policy variable choice that serves as a kink point. Secondly, as a product of the first target, the study seeks to provide empirical evidence for the economic growth–economic freedom nexus in five top-performing economies in Sub-Saharan Africa. Using index explanatory variables, which are bounded between 0 and 100, and using both numerical and graphical methods, the findings show that the use of the Bayesian method is more appropriate in characterizing the data than the classical OLS framework, as the former better accounts for randomness via the use of posterior distributions. Finally, the study further employed both threshold and Bayesian pooled panel kink regressions, with mixed results. The Bai–Perron test confirmed that the economic freedom index has a single threshold value of 56.70. Whereas the threshold estimates show a negative impact of economic freedom on growth in both low and high regimes, the Bayesian estimates reveal that economic freedom has a negative impact on growth in a low regime but a positive impact in a high regime. Our novel findings show that there exists a nonlinear impact of economic freedom on growth. This provides some guidance and caution in charting policy paths that seek to achieve economic growth.
Machine Learning Approaches for Sharing Unlicensed Millimeter-Wave Bands in Heterogeneously Integrated Sensing and Communication Networks
Authors: Tang Chunju , Liu Yanping
Published: October 2023

Due to the increasing demand of high data rate, spectrum scarcity is a key problem for providing unprecedented capacity in diversified applications for future wireless networks. Therefore, the efficiently shared use of unlicensed bands is one of the promising solutions for addressing the spectrum scarcity issue. We study decentralized machine learning approaches using the paradigm of integrated sensing and communication (ISAC) for the shared use of unlicensed millimeter-wave bands. We first present a 5G–WiFi fusion protocol stack for sharing unlicensed millimeter-wave bands, and then design an ISAC-based access protocol and an ISAC based coexistence protocol integrated with decentralized learning function to achieve the efficiently shared use of unlicensed bands. Using the coexistence protocol, we propose promising decentralized machine learning approaches to share unlicensed millimeter-wave bands. Finally, simulations are provided to verify the performance of the proposed scheme, where the results have shown that the proposed scheme greatly reduces the search space of the solution and effectively protects the communication performance of the WiFi system compared to traditional schemes, which indicates that simultaneous transmissions of 5G-U and WiFi at the 60 GHz band are feasible under the proposed scheme.
Online Mongolian Handwriting Recognition Based on Encoder–Decoder Structure with Language Model
Authors: Fan Daoerji , Sun Yuxin , Wang Zhixin , Peng Yanjun
Published: October 2023

Mongolian online handwriting recognition is a complex task due to the script’s intricate characters and extensive vocabulary. This study proposes a novel approach by integrating a pre-trained language model into the sequence-to-sequence(Seq2Seq) + attention mechanisms(AM) model to enhance recognition accuracy. Three fusion models, including former, latter, and complete fusion, are introduced, showing substantial improvements over the baseline model. The complete fusion model, combined with synchronized language model parameters, achieved the best results, significantly reducing character and word error rates. This research presents a promising solution for accurate Mongolian online handwriting recognition, offering practical applications in preserving and utilizing the Mongolian script.
Intelligent Design Prediction of a Circular Polarized Antenna for CubeSat Application Using Machine Learning Algorithms
Authors: Uddin Md Nazim , Islam Md Khadimul , Ortiz Michael , Alwan Elias A.
Published: October 2023

This paper presents an intelligent design method for a corner-truncated microstrip patch antenna (CTMPA) operating at 32 GHz using various well-known machine learning (ML) techniques. Our objectives are to obtain a gain of >5 dBic across a 10% bandwidth, an axial ratio (AR) of <3 dB, and a return loss of <−10 dB. First, a dataset of 715 full-wave simulated samples is analyzed with four distinct antenna characteristics (viz. features), along with the related computed |S11|, gain, and AR. Using mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), and R2 score, 12 ML regression models were examined to compare the training data with the new predicted values. Next, the model that best satisfies our objectives was chosen. Results showed that the artificial neural network (ANN) followed by k-nearest neighbor (KNN) regression produced the lowest error compared to all tested ML models. The design parameters that achieved our intended objectives were computed using the predicted results. The predicted design was validated using a full-wave simulation and a prototype measurement.
Research on Time Delay Estimation Method of Partial Discharges Signal with Improved Weighted Function
Authors: Liu Weidong , Li Mingjie , Wang Tong , Jin Mengzhe , Fang Qingyuan
Published: October 2023

Positioning systems based on the Time Difference of Arrival (TDOA) often struggle to accurately estimate time delays for partial discharge signals in complex electromagnetic environments. To address this, we introduce an improved joint-weighted generalized cross-correlation (GCC) time delay estimation algorithm. Traditional GCC time delay estimations, when reliant on conventional weighted functions, significantly underperform in situations characterized by low signal–noise ratios (SNRs). Our proposed improved joint weighted function combines the advantages of both phase transform (PHAT) and correlation transform (SCOT) weightings, resulting in a composite function. Compared to the conventional weighted GCC, the improved joint weighted GCC displays a more distinct peak in cross-correlation functions and ensures more robust delay estimations, especially under low SNR conditions. Experimental results indicate that the improved joint-weighted GCC algorithm achieves an error margin below 1 ns in challenging outdoor electromagnetic scenarios, demonstrating its aptitude for detecting and localizing partial discharge signals in practical engineering applications.
Multi-CC: A New Baseline for Faster and Better Deep Clustering
Authors: Yao Yulin , Yang Yu , Zhou Linna , Guo Xinsheng , Wang Gang
Published: October 2023

The aim of our paper is to introduce a new deep clustering model called Multi-head Cross-Attention Contrastive Clustering (Multi-CC), which seeks to enhance the performance of the existing deep clustering model CC. Our approach involves first augmenting the data to form image pairs and then using the same backbone to extract the feature representation of these image pairs. We then undertake contrastive learning, separately in the row space and column space of the feature matrix, to jointly learn the instance and cluster representations. Our approach offers several key improvements over the existing model. Firstly, we use a mixed strategy of strong and weak augmentation to construct image pairs. Secondly, we get rid of the pooling layer of the backbone to prevent loss of information. Finally, we introduce a multi-head cross-attention module to improve the model’s performance. These improvements have allowed us to reduce the model training time by 80%. As a baseline, Multi-CC achieves the best results on CIFAR-10, ImageNet-10, and ImageNet-dogs. It is easily replaceable with CC, making models based on CC achieve better performance.
Numerical Analysis of Dual-Wavelength Tungsten-Tellurite Fiber Raman Lasers with Controllable Mode Switching
Authors: Anashkina Elena A. , Andrianov Alexey V.
Published: October 2023

Fiber laser sources in the spectral range near 1.7–1.8 μm are in highly demand for a lot of applications. We propose and theoretically investigate a dual-wavelength switchable Raman tungsten-tellurite fiber laser in the 1.7–1.8 µm range which can produce two stable modes at frequencies separated by ~7 THz with a pump at 1.55 µm. The Raman waves shifted by 19.8 THz (mode 1) and 27.5 THz (mode 2) from the pump frequency can be generated near two different maxima of the Raman gain spectrum (gain is higher at 19.8 THz and twice lower at 27.5 THz). We numerically simulate two-mode Raman lasing with allowance for energy transfer from the pump wave to modes 1 and 2, and from mode 1 to mode 2 due to inelastic Raman scattering. Diagrams of generation regimes depending on system parameters are constructed. We demonstrate controlled switching between two modes by changing the pump power. For the same intracavity losses for both Raman modes at relatively low pump powers, only mode 1 is generated. At medium pump power, generation occurs simultaneously in both modes. At relatively high pump power, only mode 2 is generated near the weaker maximum. This effect seems surprising, but a rigorous explanation with allowance for the nonlinear interaction between mode 1 and mode 2 is found. When losses for one of the modes change, switching of the generated regimes is also predicted.
Unveiling Optimal Synthesis and Structural Insights of Starch Ferulate via the Mechanoenzymatic Method
Authors: Liu Jingxue , Gao Tingting , Xin Jiaying , Xia Chungu
Published: October 2023

In this study, starch ferulate was synthesized employing a mechanoenzymatic method, specifically based on the twin screw extrusion technique and lipase catalysis. The research then primarily centered on optimizing process parameters and conducting structural analysis. Optimal conditions were determined to be 8.2% ferulic acid addition, 66 °C extrusion temperature, and 3.2% lipase (N435) addition. The enzyme-catalyzed time was 30 s. The degree of substitution for starch ferulate was quantified at 0.005581 under these specific conditions. The presence of C=O bonds in the synthesized starch ferulate proved that the synthesis process was efficient. Additionally, the crystal structure underwent reconstruction. Observations through Scanning Electron Microscopy (SEM) and Confocal Laser Scanning Microscopy (CLSM) demonstrated that the mechanoenzymatic method led to an augmentation in the specific surface area of starch molecules, thereby facilitating the exposure of active sites. This breakthrough underscores the vast potential of mechanoenzymatic techniques to revolutionize the rapid and sustainable synthesis of starch ferulate, marking a pioneering stride in ester synthesis. The insights garnered from this study transcend theory, offering a visionary roadmap for the development and real-world deployment of advanced modified starch esters.
Association of Mindfulness with Perfectionism, Exercise Self-Efficacy, and Competitive State Anxiety in Injured Athletes Returning to Sports
Authors: Li Liang , Jing Longjun , Liu Yang , Tang Yiwei , Wang Huilin , Yang Jingyu
Published: October 2023

Injured athletes often face performance challenges upon returning to the field, influenced by external factors and negative emotions. This study investigates how mindfulness is associated with perfectionism, exercise self-efficacy, and competitive state anxiety in athletes recovering from injuries. Using snowball sampling and convenience sampling methods with a cross-sectional dataset of 359 participants from southern China (collected between October and November 2022), we employed structural equation modelling to analyse the relationship between mindfulness and competitive state anxiety in returning athletes. The results reveal that mindfulness interventions enhance exercise self-efficacy, boost task-related confidence, reshape perfectionism towards a positive outlook, and decrease competitive state anxiety. This study establishes positive correlations between perfectionism and competitive state anxiety, and a negative correlation between exercise self-efficacy and competitive state anxiety. Moreover, exercise self-efficacy and perfectionism partially mediate mindfulness’s positive impact on competitive state anxiety. In conclusion, this research highlights mindfulness’s potential to alleviate perfectionism and competitive state anxiety while enhancing exercise self-efficacy among athletes on the road to recovery.
Observational Study of Repeat Immunoadsorption (RIA) in Post-COVID ME/CFS Patients with Elevated ß2-Adrenergic Receptor Autoantibodies—An Interim Report
Authors: Stein Elisa , Heindrich Cornelia , Wittke Kirsten , Kedor Claudia , Kim Laura , Freitag Helma , Krüger Anne , Tölle Markus , Scheibenbogen Carmen
Published: October 2023

There is increasing evidence for an autoimmune aetiology in post-infectious Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). SARS-CoV-2 has now become the main trigger for ME/CFS. We have already conducted two small proof-of-concept studies on IgG depletion by immunoadsorption (IA) in post-infectious ME/CFS, which showed efficacy in most patients. This observational study aims to evaluate the efficacy of IA in patients with post-COVID-19 ME/CFS. The primary objective was to assess the improvement in functional ability. Due to the urgency of finding therapies for post-COVID-Syndrome (PCS), we report here the interim results of the first ten patients, with seven responders defined by an increase of between 10 and 35 points in the Short-Form 36 Physical Function (SF36-PF) at week four after IA. The results of this observational study will provide the basis for patient selection for a randomised controlled trial (RCT), including sham apheresis, and for an RCT combining IA with B-cell depletion therapy. Trial registration number: NCT05629988.
An Alarmingly High Number of Candidates for Bariatric Procedures among Professionally Active Poles and Its Strong Relationship with Cardiovascular Co-Morbidities—POL-O-CARIA 2022 Study
Authors: Rulkiewicz Anna , Pilchowska Iwona , Lisik Wojciech , Pruszczyk Piotr , Wójcik Simona , Poboży Marcin , Domienik-Karłowicz Justyna
Published: October 2023

Over recent years, the global healthcare system has experienced a notable increase in the prevalence of obesity and its associated health complications such as hypertension, type 2 diabetes, lipid disorders, etc. What is more, one of the significant phenomena is the increasing demand for bariatric procedures among individuals of working age due to the high prevalence of type III obesity and type II obesity with co-morbidities. This trend is pronounced in Poland, due to the increasing number of patients meeting the qualifying criteria for surgery among professionally active and inactive patients. The aim of this study is to characterize the alarmingly high number of candidates for bariatric procedures among professionally active Poles. In total, the results of 2,056,861 initial, control, and periodic visits as part of the occupational medicine certificate were analyzed—collected from 1,342,749 unique patients (51.7% men; mean age of whole group: 36.81, SD = 10.91). Statistical calculations were performed, qualitative data were assessed using percentage and occurrence counts, while qualitative data were described using mean (M), standard deviation (SD), median, skewness, kurtosis, and range values. Results with p < 0.05 were deemed significant. Chi-square analysis and one-way ANOVA (with Scheffe’s post hoc test) were employed. Charts were created in the R program. It was noticed that there was a consistent rise in the proportion of individuals classified as candidates for bariatric procedures (an increase of 0.3%) alongside a notable decrease in the percentage of individuals maintaining a healthy body weight. Moreover, it is imperative to conduct yearly evaluations of the prevalence of obesity and its associated health conditions. It should be noted that hypertension occurred in 42.2% of patients, type 2 diabetes in 6.2% of patients, and lipid disorders in 8.4% of patients with third-degree obesity. This proactive approach is essential in order to adequately equip the healthcare system to address the increasing population of obese individuals, especially candidates for bariatric procedures.
Longitudinal Three-Dimensional Stereophotogrammetric Growth Analysis in Infants with Unilateral Cleft Lip and Palate from 3 to 12 Months of Age
Authors: Kluge Jennifer , Bruggink Robin , Pandis Nikolaos , Unkovskiy Alexey , Jost-Brinkmann Paul-Georg , Kuijpers-Jagtman Anne Marie , Bartzela Theodosia
Published: October 2023

This longitudinal study aimed to evaluate facial growth and soft tissue changes in infants with complete unilateral cleft lip, alveolus, and palate (CUCLAP) at ages 3, 9, and 12 months. Using 3D images of 22 CUCLAP infants, average faces and distance maps for the entire face and specific regions were created. Color-coded maps highlighted more significant soft tissue changes from 3 to 9 months than from 9 to 12 months. The first interval showed substantial growth in the entire face, particularly in the forehead, eyes, lower lip, chin, and cheeks (p < 0.001), while the second interval exhibited no significant growth. This study provides insights into facial soft tissue growth in CUCLAP infants during critical developmental stages, emphasizing substantial improvements between 3 and 9 months, mainly in the chin, lower lip, and forehead. However, uneven growth occurred in the upper lip, philtrum, and nostrils throughout both intervals, with an overall decline in growth from 9 to 12 months. These findings underscore the dynamic nature of soft tissue growth in CUCLAP patients, highlighting the need to consider these patterns in treatment planning. Future research should explore the underlying factors and develop customized treatment interventions for enhanced facial aesthetics and function in this population.
A Randomized, Double-Blind, Graded Dose-Response Study of Norepinephrine Administration for Prevention of Post-Spinal Hypotension during Elective Cesarean Delivery
Authors: Baytaş Volkan , Karadağ Erkoç Süheyla , Özçelik Menekşe , Gökmen Derya , Bermede Ahmet Onat , Selvi Can Özlem , Uysalel Asuman
Published: October 2023

Norepinephrine has been recently introduced for prophylaxis against post-spinal hypotension during cesarean delivery; however, no data are available regarding its optimum dosing scheme. The primary objective of this study is to compare three different infusion and bolus dose combinations of norepinephrine for prophylaxis against post-spinal hypotension during cesarean delivery. This randomized, double-blind study was performed between February 2021 and May 2022. The study protocol was registered at Clinicaltrials.gov with the identification number NCT04701190. A total of 192 parturients were enrolled into this study. Patients were assigned to three groups—Zero-Bolus High-Infusion (Group ZBHI, 0 µg/0.1 µg kg−1 min−1, n = 61), Moderate-Bolus Moderate-Infusion (Group MBMI, 5 µg/0.075 µg kg−1 min−1, n = 61) and High-Bolus Low-Infusion (Group HBLI, 10 µg/0.05 µg kg−1 min−1, n = 61)—according to different combinations of norepinephrine infusion and bolus doses. All patients received spinal anesthesia with 10 mg hyperbaric bupivacaine plus 12.5 µg fentanyl. Immediately after cerebrospinal fluid was obtained, patients underwent a norepinephrine protocol corresponding to the randomized group. The primary outcome was the incidence of post-spinal hypotension. Secondary outcomes were post-delivery hypotension, frequency of post-spinal hypertension and bradycardia, and neonatal outcomes. The incidence of post-spinal hypotension was 11.7% in Group HBLI, 6.7% in Group ZBHI and 1.7% in Group MBMI (p = 0.1). The overall incidence of post-delivery hypotension in parturients was 41.1% (p = 0.797). The lowest frequency of post-spinal bradycardia (8.3%) and hypertension (11.7%) was seen in Group HBLI. The neonatal APGAR scores at 1st minute were higher in Group MBMI than in Group ZBHI (8.58 vs. 8.23, p = 0.001). All three infusion and bolus dose combinations of norepinephrine effectively reduced the incidence of post-spinal hypotension. However, high-dose bolus (10 µg) followed by low-dose infusion (0.05 µg kg−1 min−1) of norepinephrine can be preferred due to the reduced frequency of bradycardia and hypertension during cesarean delivery under spinal anesthesia.
Opioid-Free Anaesthesia Reduces Complications in Head and Neck Microvascular Free-Flap Reconstruction
Authors: Ferreira Paulo-Roberto Cardoso , De Oliveira Rita Isabel Pinheiro , Vaz Marta Dias , Bentes Carla , Costa Horácio
Published: October 2023

Head and neck free-flap microvascular surgeries are complex and resource-intensive procedures where proper conduct of anaesthesia plays a crucial role in the outcome. Flap failure and postoperative complications can be attributed to multiple factors, whether surgical- or anaesthesia-related. The anesthesiologist should ensure optimised physiological conditions to guarantee the survival of the flap and simultaneously decrease perioperative morbidity. Institutions employ different anaesthetic techniques and results vary across centres. In our institution, two different total intravenous approaches have been in use: a remifentanil-based approach and a multimodal opioid-sparing approach, which is further divided into an opioid-free anaesthesia (OFA) subgroup. We studied every consecutive case performed between 2015 and 2022, including 107 patients. Our results show a significant reduction in overall complications (53.3 vs. 78.9%, p = 0.012), length of stay in the intensive care unit (3.43 ± 5.51 vs. 5.16 ± 4.23 days, p = 0.046), duration of postoperative mechanical ventilation (67 ± 107 vs. 9 ± 38 h, p = 0.029), and the need for postoperative vasopressors (10% vs. 46.6%, p = 0.001) in the OFA group (vs. all other patients). The multimodal and OFA strategies have multiple differences regarding the fluid therapy, intraoperative type of vasopressor used, perioperative pathways, and various drug choices compared to the opioid-based technique. Due to the small number of cases in our study, we could not isolate any attitude, as an independent factor, from the success of the OFA strategy as a whole. Large randomised controlled trials are needed to improve knowledge and help define the ideal anaesthetic management of these patients.
Threshold-Based BRISQUE-Assisted Deep Learning for Enhancing Crack Detection in Concrete Structures
Authors: Pennada Sanjeetha , Perry Marcus , McAlorum Jack , Dow Hamish , Dobie Gordon
Published: October 2023

Automated visual inspection has made significant advancements in the detection of cracks on the surfaces of concrete structures. However, low-quality images significantly affect the classification performance of convolutional neural networks (CNNs). Therefore, it is essential to evaluate the suitability of image datasets used in deep learning models, like Visual Geometry Group 16 (VGG16), for accurate crack detection. This study explores the sensitivity of the BRISQUE method to different types of image degradations, such as Gaussian noise and Gaussian blur. By evaluating the performance of the VGG16 model on these degraded datasets with varying levels of noise and blur, a correlation is established between image degradation and BRISQUE scores. The results demonstrate that images with lower BRISQUE scores achieve higher accuracy, F1 score, and Matthew’s correlation coefficient (MCC) in crack classification. The study proposes the implementation of a BRISQUE score threshold (BT) to optimise training and testing times, leading to reduced computational costs. These findings have significant implications for enhancing accuracy and reliability in automated visual inspection systems for crack detection and structural health monitoring (SHM).
Phenomenology, Quantity, and Numerosity
Authors: Bertamini Marco
Published: October 2023

There are many situations in which we interact with collections of objects, from a crowd of people to a bowl of blackberries. There is an experience of the quantity of these items, although not a precise number, and we have this impression quickly and effortlessly. It can be described as an expressive property of the whole. In the literature, the study of this sense of numerosity has a long history, which is reviewed here with examples. I argue that numerosity is a direct perceptual experience, and that all experiences of numerosity, not only estimations, are affected by perceptual organisation.
Response of Foraminifera to Anthropogenic Nicotine Pollution of Cigarette Butts: An Experimental Approach
Authors: Sabbatini Anna , Caridi Francesca , Birarda Giovanni , Costanzi Elisa , Amici Adolfo , Mobbili Giovanna , Buosi Carla , De Giudici Giovanni , Medas Daniela , Negri Alessandra
Published: October 2023

The most often dispersed environmental pollutants that are released both directly and indirectly into the environment that may eventually reach aquatic ecosystems and contaminate aquatic biomes are cigarette butts (CBs). Toxicants such as nicotine, dangerous metals, total particulate matter, and recognized carcinogens can be introduced and transported via CBs into aquatic ecosystems. The examination of the effects of synthetic nicotine on three different species of cultured benthic foraminifera was the focus of this study. Three foraminiferal species from three distinct biomineralization pathways were specifically examined for viability and cellular ultrastructure, including the calcareous perforate Rosalina globularis, the calcareous imperforate Quinqueloculina spp., and the agglutinated Textularia agglutinans. The survival rate, cellular stress, and decalcification were used to assess the toxicological effects of synthetic nicotine. We were able to analyze the reaction of major macromolecules and calcium carbonate to this pollutant using FTIR (Fourier Transform Infrared) spectroscopy. High Performance Liquid Chromatography (HPLC) study was performed to increase our understanding of nicotine bioavailability in the medium culture. Different acute experiments were performed at different dates, and all indicated that synthetic nicotine is acutely hazardous to all three cultured foraminiferal taxa at lethal and sublethal concentrations. Each species responded differently depending on the type of shell biomineralization. Synthetic nicotine enhances shell decalcification and affects the composition of cytoplasmic macromolecules such as lipids and proteins, according to the FTIR spectroscopy investigations. The lipid content rose at lethal concentrations, possibly due to the creation of vesicles. The proteins signal evidences general cellular dyshomeostasis. The integration among the acute toxicity assay, synchrotron, and chemical HPLC analyses provided a valuable approach for the assessment of nicotine as a biomarker of exposure to the toxicants associated with smoking and the impact of this emerging and hazardous material on calcifying marine species.