bluuebunny/crossref_metadata_2025 huggingface dataset:
Growth Rate, Competition, Understory Diversity, and Understory Species Richness in Pure Versus Mixed Cunninghamia lanceolata (Lamb.) Hook Ecological Plantations in Guangdong Province, China
Authors: Wu Yongbin , Yeh Francis C.
Published: October 2024

This research investigated the growth performance and understory dynamics of Chinese fir (Cunninghamia lanceolata) in two ecological plantations 10 km apart in Guangdong Province, China. One ecological plantation was a monoculture comprised solely of Chinese fir. In contrast, the other ecological plantation featured a mix of 30% Chinese fir and 22 other species, encompassing three exotic, five shade-tolerant, six shade-intolerant, and eleven neutral species. Both ecological plantations utilized 1-year-old seedlings planted at 2m × 2m spacing. After 16 years, soil analysis revealed no disparities between the two ecological plantations in total nitrogen, phosphorus, potassium, or pH. Chinese fir in the mixed ecological plantation displayed superior growth, with a 13% increase in diameter, an 18% increase in height, and a 33% increase in crown width compared to those in the monoculture. The leaf area index was higher, and canopy openness was lower in the mixed ecological plantation, indicating an improved canopy structure. Competition indices indicated reduced competition for diameter and increased competition for crown width in the mixed ecological plantation, with no significant difference in competition for height. The monoculture ecological plantation showed higher understory shrub diversity and richness, but no differences were observed in herb diversity and richness between the two ecological plantations. These findings underscore the advantages of mixed-species ecological plantation in enhancing the growth performance of Chinese fir while demonstrating differing effects on shrub and herbaceous understory layers.
Seasonal and Spatial Distribution of Fall Armyworm Larvae in Maize Fields: Implications for Integrated Pest Management
Authors: ZANZANA Karimou , Sinzogan Antonio , Tepa-Yotto Ghislain T , DANNON Elie , Goergen Georg , Tamò Manuele
Published: October 2024

The fall armyworm (FAW), Spodoptera frugiperda, a major pest in maize production, was assessed for its temporal and spatial distribution in maize fields during both the off and rainy seasons of 2021 and 2022. In this study, 30 and 50 maize plants were randomly sampled using a "W" pattern during the dry and rainy seasons, respectively. Larval density, infestation rates, and damage severity were monitored over time. Taylor's power law and the mean crowding aggregation index were applied to evaluate the dispersion patterns of the larvae. The results indicate a higher infestation rate and larval density in agroecological zone AZE 8 (fisheries zone of South Benin) compared to AZE 6 (ferralitic soils zone) during the off-season. In the rainy season, while the percentage of damaged plants was higher in AZE 8, no significant differences in larval density between the two zones were observed. The dispersion analysis revealed moderate aggregation (aggregation index = 1.25) with a basic colony of 2.08 larvae, reflecting the aggregation oviposition behavior of FAW. This study provides valuable monitoring data on the FAW's distribution, offering insights for further research on population dynamics and developing predictive models for integrated pest management strategies.
Global IIA, Sen’s Impossibility Theorem and State-Salient Decision Rules
Authors: Lahiri Somdeb
Published: October 2024

We present a simple proof of the well-known axiomatic characterization of state-salient decision rules on the domain of all strict preference profiles, using Pareto property and Global Independence of Irrelevant Alternatives. Our proof appeals to Sen’s Impossibility Theorem and an extract from a proof of the same theorem, that is available in an earlier paper of this author.
Exploring the Challenges and Opportunities of Social Media for Organizational Engagement in SMEs: A Comprehensive Systematic Review
Authors: Mtjilibe Tshepang , Rameetse Emmanuel , Mgwenya Nkosinathi , Thango Bonginkosi
Published: October 2024

Social media platforms have become pivotal tools for small and medium-sized enterprises (SMEs), offering vast opportunities for enhanced organizational engagement. However, these platforms also present challenges such as data privacy concerns, feedback management, and content saturation. This systematic review critically evaluates the existing literature on the dual role of social media in fostering organizational engagement while addressing key barriers faced by SMEs. We systematically assessed 104 peer-reviewed articles sourced from Scopus, Web of Science, and Google Scholar, focusing on the impact of social media on marketing strategies and organizational outcomes in SMEs. The Newcastle-Ottawa Scale was used for quality assessment, and effect measures, including mean difference and odds ratio, were employed to evaluate performance metrics such as customer engagement, business performance, and long-term organizational impact. Key findings indicate that 74% of SMEs reported improvements in brand visibility, with customer engagement increasing by 65%. However, significant concerns were identified, with 45% of studies highlighting privacy issues and 52% addressing challenges in managing negative feedback. The review emphasizes that while social media can enhance market reach and customer interaction, its effectiveness largely depends on strategic content management and planning. This review provides actionable insights for SMEs aiming to optimize social media use, highlighting the need for future research to address privacy management and feedback strategies for sustained success.
Immigration, Human Capital, and Economic Growth in Brazil: From the Late 19th Century to the Present
Authors: Montgomery Richard Murdoch
Published: October 2024

This article examines the profound impact of immigration on Brazil's human capital formation and economic growth from the late 19th century to the early 20th century. It highlights how the influx of European and Asian immigrants filled the labor void created by the abolition of slavery in 1888, fostering agricultural expansion, industrialization, and urbanization. Immigrants brought diverse skills, technologies, and cultural practices that enriched Brazil's socio-economic fabric. The article also compares these historical dynamics with contemporary demographic trends, notably the challenges posed by a declining fertility rate and an aging population. It underscores the necessity of re-evaluating inclusion policies and investing in human capital to sustain economic growth. By drawing lessons from the past, the article suggests that Brazil can navigate current demographic challenges through strategic policy interventions aimed at enhancing human capital as a tool for economic revitalization.
First Evidence of Widespread Occurrence and Bioaccumulation of the Antiandrogenic Fluorescent Dye 7-(dimethylamino)-4-methylcoumarin and 7-(dimethylamino)-4-methylcoumarin in Dongjiang River Basin, South China
Authors: Lai Yufeng , Huang Yin , Chen Runlin , Peng Rundong , Zhang Siying , Li Yufei , Yang Guochun , Liu Yuxian
Published: October 2024

Despite the widespread application of antiandrogenic fluorescent dye synthetic coumarins in both industrial and consumer products, little is known about their occurrence in the aquatic ecosystem. In this study, concentrations of two synthetic coumarins, namely 7-(dimethylamino)-4-methylcoumarin (DACM) and 7-diethylamino-4-methylcoumarin (R-ADMC), were determined in abiotic (water, sediment) and biotic (plant, plankton and fish) samples (n=208) collected from a subtropical freshwater ecosystem, Dongjiang River basin, in southern China. DACM was the predominant compound found in the sediment, plant, algae, zooplankton, and fish muscle samples, with median concentrations at 0.189, 0.421, 0.832, 0.798, and 0.335 ng/g dry wt., respectively, although it was not detected in any surface water sample. For R-ADMC, the median concentrations observed in the surface water, sediment, plant, algae, zooplankton, and fish muscle samples were 0.105 ng/L, 0.012, 0.051, 0.009, 0.008, and 0.181 ng/g, dry wt., respectively. The bioaccumulation factor (BAF) values of DACM and R-ADMC in the algae, zooplankton and fish muscle exceeded 5000 L/kg, suggesting that the two coumarins may have significant bioaccumulation potentials in aquatic biota. Additionally, the mean daily intake (EDI) of coumarins through fish consumption was estimated as 0.27 ng/kg bw/day for toddlers in urban. This is the first field study to document widespread occurrence of the synthetic coumarins in aquatic ecosystems and to elucidate bioaccumulation potential of coumarins in aquatic organisms.
Exploration of Key Regulatory Factors in Mesenchymal Stem Cell Continuous Osteogenic Differentiation via Transcriptomic Analysis
Authors: Pan Yu , Liu Tao , Li Linfeng , He Liang , Pan Shu , Liu Yuwei
Published: October 2024

Background/Objectives: Mesenchymal Stem Cells (MSCs) possess the remarkable ability to dif-ferentiate into various cell types, including osteoblasts. Understanding the molecular mecha-nisms governing MSC osteogenic differentiation is crucial for advancing clinical applications and our comprehension of complex disease processes. However, the key biological molecules regu-lating this process remain incompletely understood, necessitating further investigation. Methods: In this study, we employed high-throughput transcriptomic sequencing to identify and validate key biological molecules that dynamically regulate MSC osteogenic differentiation. Our approach involved comprehensive analysis of gene expression patterns across human tissues, followed by rigorous experimental validation of identified candidates. Results: Through our integrated analytical and experimental approach, we pinpointed four critical regulators of MSC osteogenic differentiation: PTBP1, H2AFZ, BCL6, and TTPAL (C20ORF121). Notably, this study represents the first instance of utilizing high-throughput transcriptomics to uncover regulatory factors involved in MSC osteogenesis, marking a significant advancement in the field. Conclusions: Our findings substantially enhance our understanding of the molecular mechanisms determining MSC differentiation fate. This research holds significant implications for clinical ap-plications involving MSCs and provides valuable insights into complex disease processes. The identification of these key regulators opens new avenues for targeted interventions and therapies in bone-related disorders and regenerative medicine. Furthermore, this study establishes a robust framework for future investigations in stem cell biology, potentially leading to innovative ap-proaches in regenerative medicine.
Global Disparities in Employability and Business Skill Demand Through a Synthetic Comparative Approach
Authors: Menegaki Angeliki , Vortelinos Dimitrios
Published: October 2024

This study provides a global comparative analysis of employability and business skill demands across various regions and educational levels, focusing on business studies within tertiary education. By examining data on employment, unemployment, and inactivity rates for individuals with bachelor’s, master’s, and doctoral degrees, the paper identifies significant regional and gender disparities in labor market outcomes. Southern Europe and Asia-Pacific exhibit higher unemployment rates among graduates, particularly women and older individuals, while Northern and Western Europe show more favorable employment trends. The study also explores the varying demand for essential business skills, such as administration, financial management and sales/marketing across high and upper-middle-income regions. High-income regions prioritize advanced skills in financial management and marketing, whereas upper-middle-income countries focus on process optimization and administration. Gender disparities persist globally, with women facing higher unemployment rates despite educational attainment. The findings highlight the importance of aligning educational systems with labor market needs and addressing gender inequalities through targeted policies. This analysis informs workforce development, educational planning, and policymaking aimed at improving employment outcomes in diverse economic contexts.
Detection of Sleep Apnea Using Smartphone-Embedded Inertial Measurement Unit
Authors: Hayano Junichiro , Takeshima Masahiro , Imanishi Aya , Ogasawara Masaya , Yamada Yasuko , Yuda Emi , Mishima Kazuo
Published: October 2024

Background: We previously demonstrated that sleep apnea (SA) can be detected using acceleration and gyroscope signals from an inertial measurement unit (IMU) embedded in a wristwatch device. This study aimed to explore whether an IMU embedded in non-wristwatch devices, such as smartphones, can also be used to detect SA, when worn during sleep. Methods: During polysomnography (PSG) examinations, patients wore an IMU-embedded GPS device (Amue Link®) and/or smartphones (Xperia® or iPhone®) on their abdomen. Triaxial acceleration and gyroscope signals from the IMU of each device were recorded overnight. The data were divided into training and test groups in a 2:1 ratio. An algorithm to extract respiratory movements (0.13-0.70 Hz) and detect respiratory events was developed using the training group and its performance was validated in the test group. Results: The estimated respiratory event frequency from the IMU signals of Amue Link, Xperia, and iPhone correlated with the PSG apnea-hypopnea index (AHI), with correlation coefficients of 0.90, 0.93, and 0.96, respectively, in the test group. Using cutoff values derived from the training groups, moderate-to-severe SA (AHI ≥15) was identified with areas under the receiver-operating characteristic curve of 0.95, 0.98, and 0.94, and accuracies of 87%, 94%, and 92%, respectively, in the test groups. Conclusions: SA can be quantitatively detected by IMUs embedded in non-wristwatch devices, including smartphones, when worn during sleep.
Hybrid-3D-Convolutional-Transformer Model for Detecting Stereotypical Motor Movements in Autistic Children During Pre-Meltdown Crisis
Authors: Jarraya Salma Kammoun , Masmoudi Marwa
Published: October 2024

Computer Vision using Deep Learning algorithms has served numerous human activity identification applications, particularly those linked to safety and security. However, despite the fact that autistic children are frequently exposed to danger as a result of their activities, many Computer Vision experts have shown little interest in their safety. High-grade autistic children frequently experience the Meltdown Crisis condition, characterized by hostile behaviors and loss of control. This study aims to introduce a monitoring system capable of predicting the Meltdown Crisis condition early and alerting the children’s parents or caregivers before entering more difficult settings. For this endeavor, the suggested system was constructed using a combination of a pre-trained Vision Transformer (ViT) model (Swin-3D-b) and a Residual Network (ResNet) architecture to extract robust features from video sequences in order to extract and learn the spatial and temporal features of the Stereotyped Motor Movements made by autistic children at the beginning of the Meltdown Crisis state, which is referred to as the Pre-Meltdown Crisis state. In order to attain a 92% recall and F1 Score, the final decisions made for data preparation, model construction, and training parameters were tweaked and established experimentally. The best loss value obtained was 0.08. The MeltdownCrisis dataset, which includes realistic scenarios of autistic children’s behaviors in the Pre-Meltdown Crisis state and Normal state the Normal state data being used as a negative class was utilized for evaluation.
Extraperitoneal Open Radical Cystectomy: A New Standard in Frail Patients with Muscle-Invasive Bladder Cancer?
Authors: Porav-Hodade Daniel , Big Silvestru-Alexandru , Barbos Vlad-Ilie , Galis Radu , Gherle Bogdan , Jerzicska Ernő , Ona Victor , Feciche Bogdan-Ovidiu
Published: October 2024

Background/Objectives: Radical cystectomy (RC) represents one of the most complex and morbid surgical procedures in Urology. Extraperitoneal open RC has emerged as an alternative to traditional transperitoneal approach for the treatment of muscle-invasive bladder cancer. Frailty is one of the most important risk factors for perioperative morbidity and mortality and this category of patients can benefit the most with the extraperitoneal approach. The purpose of this study was to evaluate the feasibility and the safety of extraperitoneal open RC in our experience; Methods: We retrospectively collected the data of 75 frail patients who underwent extraperitoneal open RC, performed by a single experienced surgeon. We assessed the frailty status using the simplified frailty index (sFI). We recorded data regarding general characteristics, intraoperative, pathological, postoperative complications and mortality (within 90 days); Results: We analyzed 61 men and 14 females with sFI equal or higher than 3. The median age was 77 years. Fifty-one patients had ASA score of 3 or more. Sixty procedures were with radical intention, while fifteen were palliative. Cutaneous ureterostomy was performed in 70 cases and extraperitonized ileal conduit in five cases. The median operative time was 150 minutes. The median blood loss was 400 mL. The median time up to flatus was 2 days. The median postoperative stay was 7 days. Thirteen patients had Clavien-Dindo 3 or 4 complications. Two patients died in first 90 days postoperatively; Conclusions: The extraperitoneal open RC in frail patients demonstrated to be a feasible and safe alternative approach in definitive or palliative setting in our experience.
A Usefulness of Delta Neutrophil Index(DNI) for Prediction of 28 Day Mortality in Patients with Pneumonia- Induced Sepsis in the Intensive Care Unit
Authors: Moon Soo Yoon , Park Yong Bum , Hong Chang-Won , Park Sunghoon , Park So Hee , Ko Yousang , Jo Yong Suk , Park So Young
Published: October 2024

Background: The delta neutrophil index (DNI) represents the immature granulocyte fraction and is determined by subtracting the fraction of mature polymorphonuclear leucocytes from the sum of myeloperoxidase-reactive cells. The DNI has been proposed as a useful prognostic marker of sepsis. This study evaluated the clinical utility of DNI as a predictive marker in patients with pneumonia-induced sepsis in the intensive care unit (ICU).
Methods: We conducted a retrospective study of pneumonia-induced sepsis in patients who were admitted to the Kangdong Sacred Heart Hospital’s medical ICUs from. The DNI was measured on three consecutive days after ICU admission. The primary outcome of this study was the 28-day mortality.
Results: A total of 227 patients with pneumonia-induced sepsis were included in this study. The 28-day mortality was 20.3% in our study. In univariate analysis, age (p=0.05), DNI 1 (p =0.01), DNI 2(p=0.00), DNI 3(p=0.00), lactic acid(p =0.00) were significantly associated with 28-day mortality. In multivariable analysis, lactate (adj. OR: 0.86, 95% CI: 0.78-0.95, p =0.002) and DNI 3 (adj. OR: 0.94, 95%CI: 0.89-0.99, p = 0.048) were significantly related with 28-day mortality. Patients with higher DNI 3 (≥2.6) showed higher 28-day mortality than patients with lower DNI< 2.6 (67.4% vs 32.6 %; P < 0.001). Using a cutoff value of 2.6%, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the DNI 3 in sepsis were found to be 69%, 73.9%, 77.9%, and 64.1%, respectively. However, age ≥70 group did not show statistically significant difference DNI 1 values between survivor and non survivor group.
Conclusion: DNI at 72 hours after ICU admission is a promising prognostic marker of 28-day mortality in patients with pneumonia-induced sepsis in the ICU. However, interpretation of the Delta Neutrophil Index (DNI) in sepsis patients aged 70 and older on the first day of hospitalization should be approached with caution.
Characterizing Changes in Geometry and Flow Speeds of Land- and Lake-Terminating Glaciers at the Headwaters of Yarlung Zangbo River, Western Himalaya
Authors: Wang Yuzhe , Zhou Min , Zhang Tong , Sun Weijun , Wang Yetang
Published: October 2024

The glaciers of the Himalayas are essential for water resources in South Asia and the Qinghai-Tibet Plateau, but they are undergoing accelerated mass loss, posing risks to water security and increasing glacial hazards. This study examines long-term changes in the geometry and flow speeds of both land- and lake-terminating glaciers at the headwaters of the Yarlung Zangbo River, using field measurements, remote sensing, and numerical ice flow modeling. We observed significant heterogeneity in glacier behavior across the region, with notable differences between glacier terminus types and even among neighboring glaciers of the same type. Between 1974 and 2020, glacier thinning and mass loss rates doubled in the early 21st century (−0.57±0.05 m w.e. a−1) compared to 1974–2000 (−0.24±0.11 m w.e. a−1). While lake-terminating glaciers generally experienced more rapid retreat and mass loss, the land-terminating N241 Glacier displayed comparable mass loss rates. Lake-terminating glaciers retreated by over 1000 m between 1990 and 2019, while land-terminating glaciers retreated by less than 750 m. The ITS_LIVE velocity dataset showed higher and more variable flow speeds in lake-terminating glaciers. Numerical modeling from 2000 to 2018 revealed divergent flow regime changes, with some lake-terminating glaciers accelerating and others slowing down. Our findings underscore the significant role of lake-terminating glaciers in contributing to ice mass loss, emphasizing the need for advanced glacier models that incorporate dynamic processes such as frontal calving and longitudinal coupling.
Genetic evidence elucidates the effect of gut microbiota on diverticular disease: A bidirectional Mendelian randomization study
Authors: Jiang Pan , Yang Wenjing , Cao Xianghan , Cao Yushu , Fang Yanfei , Sheng Hong , Wang Kan
Published: October 2024

Background: Observational studies have implicated the association between gut microbiota and diverticular disease. However, the causality remains unclear. We aim to evaluate the causal association of gut microbiota alterations and circulating metabolite level with the risk of diverticular disease.
Methods: A bidirectional two-sample Mendelian randomization (MR) was conducted by using GWAS summary-level data of gut microbiota, circulating metabolites, and diverticular disease. The inverse-variance weighted (IVW) MR approach was applied as the primary analysis. The MR-Egger, weighted-median, and MR-PRESSO methods were supplemented as sensitivity analyses if applicable. The false discovery rate was adopted for multiple testing corrections.
Results: In the forward MR analysis, a genetically determined higher abundance of Ruminococcus torques group was found to be causally associated with decreased risk of diverticular disease. With each one-unit increase in log-transformed relative abundance values of the Ruminococcus torques group, there was a significant decrease in the odds ratio (OR) and 95% confidence interval (CI) for diverticular disease risk, with an OR of 0.68 (95% CI: 0.56-0.82, P=4.72ⅹ10-5). A genetically determined increased abundance of Oxalobacter (OR=0.88, 95%CI: 0.80-0.97, P=0.011) was suggestively associated with a lower risk of diverticular disease. We did not find any significant association between circulating metabolites level and diverticular disease risk. Additionally, no association between genetic liability to diverticular disease and the relative abundance of microbiota was observed in reverse MR analysis.
Conclusions: This study provides evidence for a causal association between genetically determined higher abundance of the Ruminococcus torques group and decreased risk of diverticular disease. We also suggest a potential protective role of Oxalobacter on diverticular disease.
Mapping the Future: Climate-Induced Changes in Biomass Density Across Mexico’s Coniferous Forests
Authors: Sandoval-García Carmela , Méndez-González Jorge , Flores Andrés , Villavicencio-Gutiérrez Eulalia Edith , Paz-Pellat Fernando , Flores-López Celestino , Cornejo-Oviedo Eladio Heriberto , Zermeño-González Alejandro , Sosa-Díaz Librado , Guzmán- García Marino , Villarreal-Quintanilla José Ángel
Published: October 2024

Climate variations in temperature and precipitation significantly impact forest productivity. Precipitation influences the physiology and growth of species, while temperature regulates photosynthesis, respiration, and transpiration. This study developed bioclimatic models to as-sess how climate change will affect the carbon density of aboveground biomass (cdAGB) in Mex-ico's coniferous forests for 2050 and 2070. We used cdAGB data from the National Forest and Soils Inventory (INFyS) of Mexico and 19 bioclimatic variables from WorldClim ver. 2.0. The best predictors of cdAGB were obtained using machine learning techniques with the 'caret' library in R. The model was trained with 80% of the data and validated with the remaining 20% using Generalized Linear Models (GLM). Current cdAGB prediction maps were generated using the best predictors. Future cdAGB was calculated with the average of three general circulation mod-els (GCMs) of future climate projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5), under four Representative Concentration Pathways (RCPs): 2.6, 4.5, 6.0, and 8.5 W/m². The results indicate cdAGB losses in all climate scenarios, reaching up to 15 Mg C ha-1, and could occur under the RCP 8.5 scenario by 2070 in the central region of the country. Tempera-ture-related variables are more important than precipitation variables. Bioclimatic variables can explain up to 20% of the total variance in cdAGB. The temperature in the study area is expected to increase by 2.66 °C by 2050 and 3.36 °C by 2070, while precipitation is expected to fluctuate by ±10% relative to the current values, which. could geographically redistribute the cdAGB of the country's coniferous forests. These findings underscore the need for forest management to focus not only on biodiversity conservation but also on the carbon storage capacity of these ecosys-tems.
A Structured Exercise Regimen Promotes Neurophysiological Function Compared to Unstructured Physical Activities in Geriatric Horses
Authors: Sanigavatee Kanokpan , Poochipakorn Chanoknun , Huangsaksri Onjira , Vichitkraivin Sipaporn , Pakdeelikhit Sireetorn , Chotiyothin Wanlapa , Wongkosoljit Sirapatch , Wonghanchao Thita , Chanda Metha
Published: October 2024

Reduced autonomic responses have been reported in horses of advanced age, predisposing them to compromised well-being. Maintained physical exertion tends to preserve autonomic function in geriatric horses. However, the impact of structured exercise regimens on autonomic modulation in geriatric horses has yet to be elucidated. A study was conducted to compare the autonomic modulation in geriatric horses with different activity levels: living sedentarily (SEL), retaining unstructured activities (RAT) and practising a structured exercise regimen (SER). The study observed heart rate variability (HRV) and found that the minimum and mean heart rate decreased in SER horses at 10–12 weeks, with no changes in SEL or RAT horses over the study period. Beat-to-beat (RR) intervals showed no differences in SEL horses, temporal fluctuation at 8–10 weeks in RAT horses and an increase at 10–12 weeks in SER horses. HRV was higher in SER than in RAT horses, as well as in SER horses to a lesser extent. Geriatric horses engaging in a structured exercise regimen demonstrated better autonomic regulation, reflecting lower stress than those retaining unstructured activities or living sedentarily. These results carry welfare implications for developing health management in geriatric horses.
Nutritional, Metabolic and Inflammatory Alterations in Children with Chylous Effusion in the Postoperative Period of Cardiac Surgery: A Descriptive Cohort
Authors: da Silva Sidney Volk , Hortencio Tais D.R. , Teles Lidiane O.S. , Esteves Alexandre Lima , José Negrão Nogueira Roberto
Published: October 2024

Objective: The occurrence of chylous effusion in children undergoing cardiac surgery is progressively increasing due to technical advances that have led to a rise in the number of surgeries. In this context, the objective was to describe the clinical profile of a cohort of patients at the time of chylous effusion diagnosis.
Methods: A retrospective cohort analysis was conducted between January 2011 and July 2023, involving patients aged zero to 18 years, treated at a Quaternary University Hospital in southeastern Brazil. Data were obtained from the follow-up records of the Multidisciplinary Nutritional Therapy Team (MNTT) for patients who received nutritional support after developing chylous effusion in the postoperative period of cardiac surgery.
Results: The younger population predominated (median age of 6 months), with a high prevalence of malnutrition (60.9%). At the time of chylous effusion diagnosis, 83% had lymphopenia, and 74% had hypoalbuminemia. The longer the time elapsed after surgery for the onset of chylous effusion, the lower the HDL cholesterol, the lower the albumin levels, the greater the surgical complexity, and the younger and lower weight the patient. Hypocalcemia occurred in nearly half of the sample, and hypophosphatemia in 26% of the analyzed cases.
Conclusions: There was a notable presence of lymphopenia, hypoalbuminemia, and low HDL cholesterol, as well as a high incidence of mineral imbalances, particularly hypocalcemia and hypophosphatemia, which, if untreated, may lead to unfavorable outcomes. Therefore, clinical and laboratory monitoring of children in the postoperative period of cardiac surgery is important and can aid in the early diagnosis of chylous effusion and, consequently, in the timely initiation of treatment.
Zero Trust in Cloud Security: Panacea or Fool's Errand?
Authors: Oladimeji Ganiyu
Published: October 2024

The proliferation of cloud computing has given rise to challenges in security that established perimeter-based models cannot easily adapt to. The new buzzword Zero Trust, which is based on the principle of "never trust, always verify," has been looked up as one of the promising solutions. Is Zero Trust a certainty or pie in the sky for security in the cloud? This is discussed further in this paper. This philosophical approach leads us through the earlier work and scientific literature available on the subject, presenting Zero Trust's capabilities, advantages when introduced into cloud security architecture, and obstacles about its incorporation. The study finds that Zero Trust holds the potential to enhance cloud security significantly, but it is no silver bullet and demands careful implementation and further studies to understand its intricacies as well as pitfalls.
Quantitative Modeling in Systems Biology: How to Develop Relevant Models
Authors: Akgün Gülbahar , Bashirov Rza
Published: October 2024

Since 1990s, Petri nets have been used in systems biology for quantitative modeling. Despite the increasing number of models developed during this period, doubts remain about their biological relevance. Although biological systems predominantly exhibit intracellular or cellular structures, the models rely largely on deterministic predictions, failing to capture the inherent randomness and uncertainties of such systems. The question arises whether these models accurately describe the dynamic behavior of biological systems. This paper introduces a methodology for selecting the appropriate modeling paradigms in systems biology. Initially, we construct a Petri net model and perform deterministic, stochastic, and fuzzy stochastic simulations. Then we perform various statistical tests to measure the discrepancies between the simulation results. Based on scale-density analysis, we determine the modeling approach that best approximates the biological system. Finally, we compare the results of the statistical tests and the scale-density analysis to identify the optimal modeling approach. We applied the proposed methodology to the synthesis of spinal motor neuron protein from the spinal motor neuron-2 gene. Analysis revealed significant discrepancies between the simulation results of different modeling paradigms. Due to the sparse nature of the underlying drug-disease network, we conclude that the fuzzy stochastic paradigm provides the most biologically relevant results. We predict drug combinations that could lead to an up to 149-fold increase in spinal motor neuron protein levels, indicating a promising treatment for the disease. This methodology has potential for application to other gene-drug-disease networks and broader biological systems.
Resistance Spot Welding Defect Detection Based on Visual Inspection: Improved Faster R-CNN Model
Authors: Liu Weijie , Hu Jie , Qi Jin
Published: October 2024

Welding spot defect detection using deep learning methods provides an effective way of body-in-white quality monitoring. Based on the existing Faster R-CNN model, this paper proposed an improved faster R-CNN model for resistance welding spot surface defect inspection to improve inspection efficiency and accuracy. The model contains the following improvements. Firstly, the improved algorithm uses anchor box with higher confidence output by the RPN network to locate welding spots. When a defect is detected and the detection system is in a suspended state, the Fast R-CNN network is used to confirm the defect category and details. Secondly, a new pruning model is proposed to replace the entire backbone neural network, which unnecessary convolutional layers and connection layers are deleted, and some parameters of each hidden layer are further reduced. On the premise of ensuring detection accuracy, the parameter quantity is extremely reduced, and the speed is improved. Experiments show that the model proposed in this paper took about 15ms for one single image test, and both the detection accuracy and recall rate reached over 90% according to the test on our dataset. This deep learning model meets the requirements of welding spot defect detection.
Cannabis, Endocannabinoids and Brain Development: From Embryogenesis to Adolescence
Authors: Rodrigues Ricardo J. , Marques Joana M. , Köfalvi Attila
Published: October 2024

The endocannabinoid signalling system (ECS) plays a critical role from the very beginning of embryogenesis. Accordingly, the ECS is engaged early-on in nervous system development, starting from neurulation, supported by the identification of ECS components - both receptors and enzymes controlling endocannabinoid metabolism – at these early stages. In particular, regarding the brain, the ECS is involved in the tightly regulated sequence of events that comprise brain development, from neurogenesis to neuronal migration, morphological guidance for neuronal connectivity, and synaptic circuitry refinement. The importance of this broad role of the ECS across various brain development processes is further underscored by the growing understanding of the consequences of cannabis exposure at different developmental stages. Despite the considerable knowledge we have on the role of the ECS in brain development, significant gaps in our understanding remain, particularly regarding the long-term impact and underlying mechanisms of cannabis exposure at different developmental stages. This review provides an overview of the current state of knowledge on the role of the ECS throughout brain development, from embryogenesis to adulthood, and discusses the impact of cannabis exposure, especially during adolescence—a critical period of circuitry maturation and refinement coinciding with an increased risk of cannabis use.
Hyperornithinemia-Hyperammonemia-Homocitrullinuria Syndrome in Vietnamese Patients
Authors: Nguyen Khanh Ngoc , Tran Van Khanh , Nguyen Ngoc Lan , Can Thi Bich Ngoc , Dang Thi Kim Giang , Nguyen Thu Ha , Do Thi Thanh Mai , Phuong Le Thi , Tran Thinh Huy , Ta Thanh Van , Tu Nguyen Huu , Vu Chi Dung
Published: October 2024

October 17, 2024
Dear Prof. Dr. Rizzo and Dr. Oshiro,
Prof. Dr. Rizzo: Editor-in-Chief of the Endocrinology section.
Dr. Oshiro: Guest Editor of the “Advances in Clinical Diabetes, Obesity, and Metabolic Diseases” special Issue.
I would like to submitt the manuscript entitled “Hyperornithinemia-Hyperammonemia-Homocitrullinuria Syndrome in Vietnamese Patients” by Khanh Ngoc Nguyen et al. to be considered for publication as an article in the “Advances in Clinical Diabetes, Obesity, and Metabolic Diseases” of the “Medicina” journal.
This study included retrospective and prospective analyses of four unrelated Vietnamese children diagnosed with Hyperornithinemia-hyperammonemia-homocitrullinuria (HHH) syndrome. HHH syndrome is one of the rarest urea cycle disorders and is characterized by failure of mitochondrial ornithine uptake, hyperammonemia, and accumulation of ornithine and lysine in the cytoplasm. Genetic analysis is key for diagnosis. In this study, we report the phenotype, genotype, treatment, and outcome of the four patients. To our best knowledge, this study is the first report of HHH patients in Vietnam. A diverse onset age and delayed diagnosis were observed. All four cases showed hyperornithinemia and prolonged prothrombin time. Three out of four cases presented with hyperammonemia, elevated transaminases, and uraciluria. No homocitrulline was detected in the urine. Genetic analyses identified three pathogenic variants in the SLC25A15 gene. The c.535C>T (p.Arg179*) variant is a common variant in Vietnamese patients. The c.562_564del (p.Phe188del) and c.408del (p.Met137Cysfs*10) variants were found in one case. The latter variant has yet been reported in the HHH patients in the literature. After intervention with a protein-restricted diet, ammonia-reducing therapy, and L-carnitine supplementation, no case had hyperammonemia and liver enzyme levels returned to normal range. Our results high-lighted clinical and biochemical heterogeneity of HHH syndrome and suggested that HHH syndrome should be considered when individuals present with hyperammonemia, elevated transaminase, and decreased prothrombin time. We believe these findings will be of interest to the readers of Medicina.
We confirm that neither the manuscript nor any parts of its content are currently under consideration for publication with or published in another journal. All authors approved the final version of the manuscript and agree with its submission to Medicina.
Thank you for your time and effort. We look forward to hearing from you regarding our submission.
Yours sincerely,
Chi Dung Vu (PhD., Assoc. Prof.)
Center of Endocrinology, Metabolism, Genetic/Genomics and Molecular Therapy, Vietnam National Children’s Hospital, 18/879 La Thanh, Dong Da, Hanoi, Vietnam
Email: dungvu@nch.gov.vn. Tel: +84-246-2747643
Impact of the COVID‐19 Pandemic on Influenza Vaccination Coverage in Latin America: Mexico and Central America
Authors: Suárez-Idueta Lorena , Ruiz-Matus Cuitlahuac , Becerra-Posada Francisco , Espinal Tejada Carlos , Trejo Varon Ruby , Brenes Chacon Helena
Published: October 2024

Influenza behavior depends on several characteristics: the agent itself, the host response, and environmental changes that determine seasonality, presentation, disease severity, lethality, and intensity of contagion. Vulnerable populations, such as the elderly, people with underlying diseases, and incomplete vaccination status, can influence disease presentation and epidemiology. These information changes are necessary for existing surveillance systems. Special surveillance of human and animal diseases is necessary, considering recent outbreaks and epidemic waves of viral diseases such as avian influenza. This study analyzed the impact of the COVID-19 pandemic on influenza vaccination coverage in Mexico and Central America. We used existing data and information in the countries and what was reported to WHO and UNICEF on administrative coverage of influenza vaccination reported by the countries, and the PAHO surveillance databases for influenza and other respiratory viruses. Influenza vaccine application varies in Central American countries and Mexico. Vaccination schedules have been adapted following WHO and PAHO recommendations, and considering the epidemiological, organizational conditions and financial realities of each country. Surveillance systems must be prepared for a possible “tridemic” in humans involving influenza, SARS-CoV-2 and respiratory syncytial virus (RSV). Influenza-associated disease was considerably affected during the COVID-19 pandemic. Given the preventive measures implemented, cases were unusually low during 2021-22, but cases increased sharply in 2022-23 caused by influenza A and influenza A H1N1 pdm09, with some isolated cases of influenza B.
A Muscle Physiology-Based Framework for Quantifying Training Load in Resistance Exercises
Authors: Imbach Frank , Perrey Stéphane , Brioche Thomas , Candau Robin
Published: October 2024

Background: Objective training load indexes (TL) used in resistance training lack of physiological significance. This study aimed to provide a muscle physiology-based approach for quantifying TL in resistance exercises (RE). Methods: Following individual torque-velocity profiling, fifteen participants performed isokinetic leg extension exercise sessions at low (C1), moderate (C2), and high (C3) intensities. Systemic and local physiological responses were measured, and sessions were volume-equated according to the "volume-load" (VL) method. Results: Significant differences were found between sessions in terms of mechanical work ( and , for C1-C2 and C2-C3, respectively), averaged normalised torque (), mechanical impulse () and rate of force development (RFD, for C1-C2). RFD was mainly impacted by the accumulation of repetitions (). Muscle function impairments mainly occurred at high intensities, supported by greater RFD rate decay (peak RFD: and , RFD 0-100 ms: and ; for C1-C2 and C1-C3) and changes in electromyographic activity (). Accounting for muscle fatigue kinetics within objective TL indexes and using dimension reduction methods better described physiological responses to RE (). Conclusion: A generic equation of muscle fatigue rise could add value to TL quantification in RE. Considering other training-related information and TL indexes stands valuable, applicable to field situations and supports the multidimensional facet of physiological responses to RE.
A Novel TOPSIS Framework for Multi-Criteria Decision Making with Random Hypergraphs: Enhancing Decision Processes
Authors: Rahman Saifur , Alali Amal S. , Baro Nabajyoti , Ali Shakir , Kakati Pankaj
Published: October 2024

In today’s complex decision-making landscape, multi-criteria decision-making (MCDM) frameworks play a crucial role in addressing conflicting criteria. This paper introduces a novel framework that combines the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with random hypergraphs to enhance decision processes. Traditional MCDM methods often face challenges due to uncertainty and interdependencies among criteria. Our approach leverages random hypergraphs to better capture the relationships between criteria, offering a refined representation of decision problems. We delve into the theoretical foundations of this framework, detailing its algorithmic implementation and methodologies for evaluating alternatives under uncertainty. Performance comparisons illustrate the advantages of the proposed TOPSIS framework, emphasizing how random hypergraphs enrich TOPSIS’s analytical capabilities. This research advances the theoretical understanding of MCDM frameworks while providing practical insights for practitioners seeking robust solutions in complex and uncertain decision-making environments.
Comparative Analysis of the Impact of Severe Acute Respiratory Syndrome Coronavirus 2 Infection on the Performance of Clinical Decision‐Making Algorithms for Pulmonary Embolism
Authors: Eksioglu Merve , Azapoglu Kaymak Burcu , Elhan Atilla Halil , Cimilli Ozturk Tuba
Published: October 2024

Background/Objectives: This study aimed to compare the diagnostic accuracy of the Wells and Geneva scores, used with a 500 ng/mL D-dimer cutoff, along with the age-adjusted D-dimer (AADD), YEARS, and PEGeD algorithms in patients with and without COVID-19. The performance of various D-dimer thresholds was also evaluated.
Methods: This retrospective study included patients who presented to the emergency department and underwent computed tomography pulmonary angiography (CTPA) for suspected pulmonary embolism (PE). The diagnostic performance of clinical prediction algorithms was compared between two groups.
Results: We analyzed data from 1423 patients; PE diagnosis and COVID-19 positivity rates were 7.3% and 69.9%, respectively. In patients with COVID-19, the Wells score with a 500 ng/mL D-dimer threshold exhibited 97.22% sensitivity (95% CI: 80.53–100.00) and 4.99% specificity (95% CI: 3.58–6.39). Using AADD increased the specificity to 7.81% (95% CI: 6.08–9.54) while maintaining sensitivity at 97.22% (95% CI: 93.43–100.00); similar results were observed for the Geneva score. The YEARS algorithm exhibited 86.11% sensitivity (95% CI: 78.12–94.10) and 32.75% specificity (95% CI: 29.73–35.78), whereas the PEGeD algorithm exhibited 86.11% sensitivity (95% CI: 78.12–94.10) and 34.06% specificity (95% CI: 31.00–37.12). The YEARS and PEGeD algorithms demonstrated better performance in patients with COVID-19 in terms of specificity and accuracy.
Conclusion: COVID-19 infection did not significantly affect the diagnostic performances of the clinical algorithms for PE. YEARS and PEGeD performed better in patients with COVID-19, making them preferable. Higher D-dimer thresholds improved specificity but increased the risk of missed PE diagnoses.
Two Dimensional Differential Positioning with GNSS Signal Frequency Division Relay Forwarding to Parallel Leaky Coaxial Cables in Tunnel
Authors: Jiao Keyuan , Song Maozhong , Tang Xiaolong , Dong Shimao , Xiong Shenkai
Published: October 2024

To address the issue of GNSS receivers being unable to function properly in tunnels due to the loss of Global Navigation Satellite System(GNSS) signals, this paper proposes a two-dimensional differential positioning system for tunnel environments, based on dual leaky coaxial(LCX) cables with GNSS signal frequency relay forwarding. The system receives mixed GNSS signals from open environments and utilizes the frequency selection capabilities of the MAX2769E chip to separate and generate radio frequency signals at different frequencies corresponding to GPS, BDS, and GLONASS. These signals are then used to drive three ports of the LCX cables, which are laid in parallel within the tunnel. By leveraging the uniform radiation characteristics of the LCX cables, stable GNSS signal coverage is achieved throughout the tunnel. On the receiving end, the GNSS receiver achieves two-dimensional positioning by utilizing inter-satellite pseudorange differences and reference point error correction. Simulation results indicate that the dual T-shaped radiating LCX cables configuration offers excellent positioning accuracy and noise resistance, achieving meter-level positioning accuracy in tunnel environments.
Presentación
Authors: Orozco Víctor
Published: October 2024

Publicamos ahora el volumen XIV de esta obra colectiva iniciada en los umbrales del siglo XXI. Sin afanes de autocomplacencia, nos congratulamos de haber arribado hasta esta colina, en el largo e interminable camino de la creación intelectual y la investigación científica.