bluuebunny/crossref_metadata_2025 huggingface dataset:
Strain Elastography Fat-to-Lesion Index Is Associated with Mammography Bi-rads Grading, Biopsy, and Molecular Phenotype in Breast Cancer.
Authors: Cruz-Ramos Jose  Alfonso , Trapero-Corona Mijail Irak , Valencia-Hernandez Ingrid Aurora , Gomez-Vargas Luz Amparo , Toranzo-Delgado Maria Teresa , Cano-Magaña Karla Raquel , De la Mora-Jimenez Emmanuel , López-Armas Gabriela C.
Published: December 2023

Breast cancer (BC) affects millions of women; it is the leading cause of death by neoplasia in wom-en worldwide, with at least 500 thousand deaths each year, 70% of which occur in developing countries. Elastography evaluates tissue stiffness, making this a promising non-invasive real-time technique. BI-RADS is recognized as a standard and helpful technique for establishing BC risk. This study aimed to determine, by strain elastography (SE), the fat-to-lesion index (F/L index), sen-sitivity, specificity, and optimal cut-off to diagnose BC. This prospective study included 216 wom-en who underwent SE, ultrasound, mammography, and breast biopsy; according to mammogra-phy, we recruited BI-RADS category 2 (n= 5), category 3 (n=29), category 4 (n= 94), category 5 (n= 71) and category 6 (n=17); after biopsy, 108 women were classified as negative, and 108 were pos-itive for BC. Three expert BC radiologists performed all imaging interpretations and biopsies. Our results show mean values of the F/L index for negative biopsies of 3.70±2.57 and positive biopsies of 18.10±17.01; we developed two models for the prediction of BC, a logistic regression model with an AUC of 0.893 and a neural network with an AUC of 0.902. The Youden index yielded a F/L index cut-off >5.76, with a sensitivity and specificity of 84.26%. Positive Spearman's Rho cor-relation coefficient was observed between the F/L index and BI-RADS, r=.073 (p< 0.001). ANOVA test showed a difference between F/L index vs. molecular subtypes (p=0.002). SE is helpful as a di-agnostic complement to mammography, or in cases where the latter is contraindicated, elas-tography has an adequate predictive capacity and is a fast and minimally invasive procedure.
Coffee and Microbiota: A Narrative Review
Authors: Rosa Federico , Marigliano Benedetta , Mannucci Sergio , Candelli Marcello , Savioli Gabriele , Merra Giuseppe , Zanza Christian , Gasbarrini Antonio , Franceschi Francesco , Piccioni Andrea
Published: December 2023

Coffee is one of the most widely consumed beverages in the world, with important repercussions on the health of the individual.
Dysbiosis in the gut microbiota is implicated in the occurrence of numerous diseases, and knowledge of it has also proven to be of fundamental importance for the development of new therapeutic strategies.
In this narrative review, we thoroughly investigated the link between coffee consumption and its effects on the gut microbiota and their consequences on human health.
We have selected the most significant articles published on this very interesting link, with the aim of going deeper in the light of the latest evidence more and more about the relationship that links coffee consumption and its repercussions on the composition of the gut microbiota and on human health.
A Bim-Based Occupational Health Risk Determination System in the Building Construction Project
Authors: Jangam Apurva , Cheriyan Daniel , Choi Jae-ho
Published: December 2023

The construction industry is notable contributors to atmospheric dust particulate emissions. The particulate matter (PM) produced in construction processes contains a range of chemically hazardous substances, posing significant health risks (HR) to individuals. The occupational health hazards research in construction has become a focal point of interest internationally. Initiated in the early 2000s, there has been a growing demand within the construction research community for the creation of a unified PM database that encapsulates a wide array of construction activities. Previous studies have endeavored to establish a PM database for various construction contexts, yet they have fallen short in thoroughly addressing the diversity of construction materials and the levels of toxic substances (TS) within the PM. This study validates the proof of value that HR associated with construction processes can be measured using PM and TS datasets generated from various work processes using a variety of construction materials. This was accomplished through a semi-automated Building Information Modeling (BIM)-based plugin, which streamlines the assessment of occupational HR in construction projects alongside ongoing work processes. To validate the practicality of the Health Risk Index (HRI) determination via this BIM plugin, a case study on a real renovation project was executed. This system provides construction supervisors with a tool to visually assess the HR of daily operations, thereby facilitating the adoption of preemptive measures to protect the health of construction workers.
Role and Therapeutic Potential of Non-coding RNAs in Astrocytes during Neonatal Brain Injury
Authors: Ye Zhiyi , Yuan Tianming
Published: December 2023

Perinatal brain injury is a major public health problem burdened with high morbidity, mortality and severe neurological sequelae. Despite advances in neonatal life-saving technologies, neonatal encephalopathy lacks specific and effective treatment. Therefore, mechanisms of central nervous system changes associated with perinatal brain injury have been a hot topic of neonatology research. In recent years, researchers have shifted more focus from neurons themselves to perineuronal cells and intercellular interactions. As a member of the nervous system network, astrocytes are one of the dominant glial cells that regulate ion homeostasis, blood flow, and antioxidant function in the brain. Their changes in molecular mechanisms (e.g., alterations in RNA regulatory networks) during brain injury storms deserve further attention. Non-coding RNAs participate in and promote reactive pathophysiologic changes in astrocytes. The review summarizes and discusses the role of non-coding RNAs in astrocytes in recent years in studies of neonatal brain injury. It focuses on the most studied disease-related ncRNAs: miRNAs, lncRNAs and circRNAs, and hopes to provide possible directions for pathophysiological studies and therapeutic approaches of neonatal brain injury.
Comparative Genomic Analysis of Colletotrichum lini Strains with Different Virulence on Flax
Authors: Dvorianinova Ekaterina M. , Sigova Elizaveta A. , Mollaev Timur D. , Rozhmina Tatiana A. , Kudryavtseva Ludmila P. , Novakovskiy Roman O. , Turba Anastasia A. , Zhernova Daiana A. , Borkhert Elena V. , Pushkova Elena N. , Melnikova Nataliya V. , Dmitriev Alexey A.
Published: December 2023

Colletotrichum lini is a flax fungal pathogen, comprising differently virulent strains. In this work, we sequenced the genomes of three C. lini strains of different virulence: high virulent #390-1, medium virulent #757, and low virulent #771. We obtained more than 100× genome coverage with Oxford Nanopore Technologies reads and more than 50× genome coverage with Illumina data. To construct high-quality genomes, several assembly strategies were tested. The final assemblies were obtained using the Canu – Racon ×2 – Medaka – Polca scheme and were 54.0-55.3 Mb in length, contained 26-32 contigs, had an N50 > 5 Mb and the BUSCO completeness > 96%. Comparative analysis of the constructed genomes showed high similarity between mitochondrial and nuclear genomes. However, a rearrangement event and the loss of a 0.9 Mb contig were revealed. The candidate effectors were predicted in sets of proteins received after genome annotation. The obtained genome sequences of C. lini strains extend the knowledge on the genetic diversity of Colletotrichum species and are the basis for establishing molecular mechanisms of pathogenicity of the flax pathogen and effective control of flax anthracnose.
The Role of Snake Venom Disintegrins in Angiogenesis
Authors: Clissa Patricia Bianca , Della-Casa Maisa Splendore , Sachar Bianca Cestari , Sanabani Sabri Saeed
Published: December 2023

Angiogenesis is a critical process in various physiological and pathological conditions, and snake venom disintegrins (SVDs) have been shown to be important regulators of this process. In this review, we explore the dual roles of SVD in angiogenesis, both as antiangiogenic agents by inhibiting integrin binding and interfering with vascular endothelial growth factors and as proangiogenic agents by enhancing integrin binding, stimulating cell migration and proliferation, and inducing neoangiogenesis. Studies in vitro and in animal models have demonstrated these effects and offer significant therapeutic opportunities. The potential applications of SVD in diseases related to angiogenesis, such as cancer, ocular diseases, tissue regeneration, wound healing, and cardiovascular diseases, are also discussed. Overall, SVDs are promising potential therapeutics, and further advances in this field could lead to innovative treatments for diseases related to angiogenesis.
Targeting the Metabolic Paradigms in Cancer and Diabetes
Authors: Bosso Mira , Haddad Dania , Al Madhoun Ashraf , Al-Mulla Fahd
Published: December 2023

As yin and yang, cancer and diabetes are metabolic disorders characterized by deregulated, yet opposing, metabolic alterations. These metabolic shifts reflect a complex network of defective underlying signaling pathways, which ultimately orchestrate both disease pathogenesis and progression. The Warburg effect portrays the chief metabolic phenotype in cancer and is reflected by the dominance of aerobic glycolysis over minimal-to-no viable oxidative phosphorylation in cancer. Conversely, during the pathogenesis of type 2 diabetes (T2D), oxidative phosphorylation is constantly heightened. In advanced insulin resistance and T2D, the metabolic landscape becomes more complex, with exacerbating metabolic alterations affecting oxidative phosphorylation in a tissue-specific manner. Promising nutritional adjuvants, such as alpha-lipoic acid and flavonoids, can reprogram metabolism and exert antitumor and antidiabetic effects. Other pharmacological agents, such as metformin, have therapeutic effects on cancer and T2D. Herein, we discuss the molecular mechanisms and signaling pathways involved in the metabolic shifts in cancer and T2D, and explore the therapeutic strategies under investigation that aim to reverse the metabolic shift in both disease scenarios.
Redesign of Electrical Stapler Design: An Approach to Reduce Muscle Fatigue of Surgeons
Authors: Qingmin Feng , Yufeng Xu , Mengya Hu , Qiang Zhang , Chuanqing Wu , Shenglin Liu , Zhengke Gao , Yan Fu
Published: December 2023

Muscle fatigue caused by using staplers affects the surgical procedures of surgeons. Compared to manual staplers, electric staplers decrease the muscle fatigue by replacing repeated gripping and releasing with automatic model. Still powered by the battery, the electric staplers are confronted with new operation fatigue due to the extra weight of the battery. The weight and manual operation of the electric stapler can cause user's muscle fatigue. To tackle the unsettled fatigue issue, the study is to propose a new design method to offset the influence of extra weight of the battery attached to the electrical stapler by changing the opening and closing of the stapler end clamp to electric control. The purpose of this study is to verify whether the design of this electric stapler can offset the impact of weight. Experiments are set up to test the feasibility of the design on 12 male Chinese surgeons. The muscle fatigue is indicated by measuring the EMG (electromyography) signal, and the stapler's working effect is indicated by measuring the end movement of the stapler. The result shows the new-designed stapler reduce the operation fatigue, counteracting the impact of the battery weight.
Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models
Authors: Alazaidah Raed , Samara Ghassan , Aljaidi Mohammad , Qasem Mais Haj , Alsarhan Ayoub , Alshammari Mohammed
Published: December 2023

Sleep disorder is a disease that can be categorized as both an emotional and physical problem. It imposes several difficulties and problems, such as distress during the day, sleep-wake disorders, anxiety, and several other problems. Hence, the main objective of this research is to utilize the strong capabilities of machine learning in the prediction of sleep disorders. In specific, this research aims to meet three main objectives. These objectives are to identify the best regression model, the best classification model, and the best learning strategy that highly suits sleep disorder datasets. Considering two related datasets and several evaluation metrics that are related to the tasks of regression and classification, the results revealed the superiority of the MultilayerPerceptron, SMOreg, and KStar regression models compared with the other twenty-three regression models. Also, IBK, RandomForest, and RandomizableFilteredClassifier showed superior performance compared with other classification models that belong to several learning strategies. Finally, the Function learning strategy showed the best predictive performance among the six considered strategies in both datasets and with respect to the most evaluation metrics.
Optimizing Telehealth Strategies for Rehabilitation: Recommendations From Rural Physical Therapists
Authors: Bustamante-Vázquez Jorge Luis , Rodrigo-Morales Gaudencio Jonathan , De-Dios-Pérez Jhonatan Iván , Artiles-Sánchez Justo , Barragán Carballar Carlos , Alonso-Pérez Jose Luis , Villafañe Jorge Hugo
Published: December 2023

Background: To investigate the experiences and perspectives of rural physical therapists in relation to various telehealth strategies in physical therapy; Methods: A qualitative field study was conducted in [n=4,344] remote regions of [n=6] (Mexico). Using telehealth technology, 16 physical therapists from 6 clinics expanded their reach and provided physical therapy care to patients located in nonmetropolitan sites. The outcomes measured were the sociodemographic characteristics, telemedicine modalities employed, and the types of treatments administered. These assessments were conducted pre, post-intervention, and during the follow-up period; Results: This study included 4,344 participants, averaging 44.5 ±20.7 years old. Most visits (80.1%) were initial, while 19.9% were follow-ups, with an average of 12.4 ±4.7 sessions. "Puebla sur" had the highest case frequency (29.3%), followed by "Tlalnepantla" (27.5%), "CAPU" (17.4%), "Tlalpan" (15.5%), and "Guadalajara" and "Guatemala" clinics with lower frequencies (8.8% and 1.5%, respectively); Conclusions: This study highlights the potential of telemedicine to surmount barriers such as limited access to healthcare facilities, physical impediments faced by patients in rural areas, and financial burdens on families. The findings contribute to the optimization of telehealth strategies, specifically tailored to the unique challenges of rehabilitation care in underserved rural communities.
Evolution of Degenerative Myxomatous Mitral Valve Disease in Canine Fox Terrier – Case Report
Authors: Souza Keren , Santos Maryanne , Carreli Carlos
Published: December 2023

Degenerative mitral valve disease (DMVD) consists of progressive degeneration of the mitral valve that can occur either in isolation or in association with the tricuspid valve, leading to incomplete coaptation of its leaflets and subsequent valve regurgitation. It's the most common cardiac condition in small animals, accounting for about 75% of cases of heart disease in dogs, mainly affecting elderly small-breed dogs. Breeds with a genetic predisposition such as Cavalier King Charles Spaniels and Bull Terriers tend to develop the disease early. It can be classified into 4 stages: A, B, C, and D, with B having subdivisions (B1 and B2). Animals in stages A, B1, and B2 are asymptomatic, showing clinical signs only from stage C onwards. The report details the case of a 13-year-old Fox Terrier diagnosed at stage B2 of the disease, progressing to stage C within two years. A cardiologist conducted annual monitoring.
Expression of FAD and SAD Genes in Developing Seeds of Flax Varieties under Different Growth Conditions
Authors: Pushkova Elena N. , Povkhova Liubov V. , Dvorianinova Ekaterina M. , Novakovskiy Roman O. , Rozhmina Tatiana A. , Gryzunov Aleksey A. , Sigova Elizaveta A. , Zhernova Daiana A. , Borkhert Elena V. , Turba Anastasia A. , Yablokov Arthur G. , Bolsheva Nadezhda L. , Dmitriev Alexey A. , Melnikova Nataliya V.
Published: December 2023

Flax seed is one of the richest plant sources of linolenic acid (LIN) and also contains unsaturated linoleic acid (LIO) and oleic acid (OLE). Stearoyl-ACP desaturases (SAD) and fatty acid desaturases (FAD) play a key role in the synthesis of flax fatty acids (FA). We sequenced flax seed transcriptomes at the 3, 7, 14, 21, and 28 day after flowering (DAF) for ten flax varieties with different oil FA compositions grown under three temperature/watering conditions. Expression levels of 25 genes of SAD, FAD2, and FAD3 families were evaluated. FAD3b, FAD3a, FAD2b-2, SAD3-1, SAD2-1, SAD2-2, SAD3-2, FAD2a-1, and FAD2a-2 had the highest expression levels, which changed significantly during seed development. These genes probably play a key role in the FA synthesis in flax seeds. High temperature and insufficient watering shifted the maximum expression levels of the FAD and SAD genes to earlier development stages, while the opposite trend was observed for low temperature and excessive watering. Differences in FAD and SAD expression profiles under different growth conditions could contribute to the FA composition of linseed oil. Stop codons in the FAD3a gene, resulting in reduced LIN content, decreased the level of the FAD3a transcript. Some difference in reaching the maximum expression level during seed development was observed between 1) SAD3-1, SAD3-2, and FAD2b-2 and 2) SAD2-1, SAD2-2, FAD2a-1, FAD2a-2, FAD3a, and FAD3b. These groups possibly contribute somewhat differently to the synthesis of FA at different development stages.
Applying Moving Target Defense Against Data Theft Ransomware on Windows OS
Authors: Liu Shishi , Chen Xin
Published: December 2023

This study addresses the escalating threat of data theft ransomware, a form of cyberattack that exfiltrates sensitive information from victim networks and demands ransom for its non-disclosure. Unlike traditional crypto-ransomware, data theft ransomware leverages various infiltration techniques to gain unauthorized access and control over critical data assets. The study introduces a novel Moving Target Defense (MTD) framework, specifically designed for the Windows operating system environment, to counter these sophisticated attacks. MTD increases the unpredictability of the system by dynamically altering its configurations, thereby disrupting the adversary's ability to execute successful attacks. Our research includes the development and empirical evaluation of the MTD framework, demonstrating its effectiveness in reducing ransomware operational capabilities through quantitative analysis, qualitative observations, and statistical significance testing. We also explore the challenges and complexities involved in implementing MTD in real-world scenarios and propose strategies to overcome these barriers. The study concludes with recommendations for future research directions and the potential of MTD in enhancing cybersecurity defense mechanisms.
Biochemical Characterizazion of YoAlp®, a Sheep Fermented Milk Obtained with Autochthonous Starter Cultures
Authors: Flutto Tania , Merlet Mathieu , Thedy Laura , Pramotton Rita , Zenato Simona , Vernetti-Prot Luca , Valentini Sabina
Published: December 2023

Background: Fermented milks are a source of bioactive peptides with different potential benefits on human health (mainly antioxidant and antihypertensive effects) and may be considered as functional foods. Furthermore, those made with sheep milk have higher nutritional value and higher concentrations of proteins, fats, minerals, and vitamins, if compared to milk of other species. Objectives: Aim of this study was to perform a biochemical characterization and a comparison between sheep fermented milk (SFM) made with commercial starter cultures and sheep milk YoAlp®, a fermented milk obtained using local strains of lactic acid bacteria (LABs) (Streptococcus thermophilus and Lactobacillus delbrueckii) which have been isolated during years in Aosta Valley mountain dairy cattle farm. Methods: Sheep milk and fermented milk (Sarda and Lacaune breeds) have been collected and immediately analyzed. Biochemical characterization, by a proteomic approach, GC/MS and microtiter plate assay methods, have been conducted to evaluate their peptide, fatty acid and aromatic profile, and to assess potential health promoting effects. Results: The comparison between SFM and YoAlp® peptide profile shows a higher number of peptides using autochthonous starter cultures (52) than commercial starter cultures (35). Among these peptides 20,78% and 29,87%, respectively, are supposed to be potentially bioactive (DPP - dipeptidyl peptidase-IV - inhibitor, ACE - angiotensin converting enzyme – inhibitor and antioxidant). In both products, the fatty acids profile was similar to that of origin sheep milk; concerning aromatic profile, YoAlp® shows yogurt typical aromatic assets, similar to the commercial one. As far as bioactivity is concerned, ACE inhibitor activity is high for both samples. Similar values, as expected by peptide profile analysis, have been obtained using commercial and autochthonous starters. Even in the case of antioxidant capacity, peptide profile bioactivity prediction has been confirmed by the assay showing a DPPH inhibition higher for SFM than for YoAlp®, but this difference is not statistically significative. Conclusions: Local strains of lactic acid bacteria from Aosta Valley seems to work as well as the commercial, preserving biodiversity and typicality. However, further analyses are needed to identify peptides generated by autochthonous LABs in order to understand microbial proteolytic activities and to investigate gastric digestion resistance of bioactive peptides which can have positive effects on human health.
Elucidating the Neuroinflammatory and Neuroprotective Activity of Phytochemicals in Cannabis sativa and their potential Entourage Effects
Authors: Al-Khazaleh Ahmad K , Zhou Xian , Bhuyan Deep Jyoti , Münch Gerald W , Al-Dalabeeh Elaf Adel , Jaye Kayla , Chang Dennis
Published: December 2023

Cannabis, renowned for its historical medicinal use, harbours various bioactive compounds—cannabinoids, terpenes, and flavonoids. While major cannabinoids like THC and CBD have received extensive scrutiny for their pharmacological properties, emerging evidence underscores the collaborative interactions among these constituents, suggesting a collective therapeutic potential. This comprehensive review explores the intricate relationships and synergies between cannabinoids, terpenes, and flavonoids in cannabis. Cannabinoids, pivotal in cannabis's bioactivity, exhibit well-documented analgesic, anti-inflammatory, and neuroprotective effects. Terpenes, aromatic compounds imbuing distinct flavours, not only contribute to cannabis's sensory profile but also modulate cannabinoid effects through diverse molecular mechanisms. Flavonoids, another cannabis component, demonstrate anti-inflammatory, antioxidant, and neuroprotective properties, particularly relevant to neuroinflammation. The entourage hypothesis posits that combined cannabinoid, terpene, and flavonoid action yields synergistic or additive effects, surpassing individual compound efficacy. Recognizing the nuanced interactions is crucial for unravelling cannabis's complete therapeutic potential. Tailoring treatments based on the holistic composition of cannabis strains allows optimization of therapeutic outcomes while minimizing potential side effects. This review underscores the imperative to delve into the intricate roles of cannabinoids, terpenes, and flavonoids, offering promising prospects for innovative therapeutic interventions and advocating continued research to unlock cannabis's full therapeutic potential within the realm of natural plant-based medicine.
Fundamental Components and Principles of Supervised Machine Learning Workflows with Numerical and Categorical Data
Authors: Kampezidou Styliani I. , Tikayat Ray Archana , Bhat Anirudh Prabhakara , Pinon Fischer Olivia J. , Mavris Dimitri N.
Published: December 2023

This paper offers a comprehensive examination of the process involved in developing and automating supervised end-to-end machine learning workflows for forecasting and classification purposes. It offers a complete overview of the components (i.e. feature engineering, model selection, etc), principles (i.e. bias-variance decomposition, model complexity, overfitting, model sensitivity to feature assumptions and scaling, output interpretability, etc), models (i.e. neural networks, regression models, etc), methods (i.e. Cross-Validation, data augmentation, etc), metrics (i.e. Mean Squared Error, F1-score, etc) and tools that rule most supervised learning applications with numerical and categorical data, as well as their integration, automation, and deployment. The end goal and contribution of this paper is the education and guidance of the non-AI expert academic community over complete and rigorous machine learning pipelines and data science practices, from problem scoping to design and state-of-the-art automation tools, including basic principles and reasoning in the choice of methods. The paper delves into the critical stages of supervised machine learning workflow development, many of which are often omitted by researchers due to brevity, and covers foundational concepts essential for understanding and optimizing a functional machine learning workflow, thereby offering a holistic view of task-specific application development for applied researchers who are not AI experts.
The Prognostic Role of Global Longitudinal Strain and NT-proBNP in Heart Failure Patients Receiving Cardiac Resynchronization Therapy
Authors: Kadoglou Nikolaos PE , Bouwmeester Sjoerd , De Lepper Anouk GW , De Kleijn Marloes , Herold Ingeborg HF , Bouwman Arthur , Korakianitis Ioannis , Simmers Tim , Bracke Frank ALE , Houthuizen Patrick
Published: December 2023

Background: We aimed to evaluate whether baseline GLS and NT-proBNP and their changes after cardiac resynchronization therapy (CRT) can predict the long-term clinical outcomes and the echocardiographic-based response to CRT (defined by 15% relative reduction in left ventricular end-systolic volume). Methods: We enrolled 143 patients with stable, ischemic heart failure (HF) undergoing CRT-D implantation. NT-proBNP and echocardiogram were obtained before and 6 months after. The patients were followed-up (median: 58 months) for HF-related deaths and/or HF hospitalizations (primary endpoint) or HF-related deaths (secondary endpoint) Results: 84 patients achieved the primary and 53 the secondary endpoint, while 104 patients were considered as CRT-responders and 39 as non-responders. At baseline, event-free patients had higher absolute GLS values (p<0.001) and lower NT-proBNP serum levels (p<0001) than those achieving primary endpoint. A similar pattern was observed in favor of CRT-responders vs non-responders. In Cox regression analysis, lower baseline absolute GLS value (HR=0.77;95%CI, 0.51-1.91; p=0.002), higher baseline NT-proBNP levels (HR=1.55;95%CI, 1.43-2.01;p=0.002) and diabetes (HR=1.27;95%CI, 1.12-1.98;p=0.003) were associated with lower incidence of primary endpoint. Conclusions: In HF patients undergoing CRT-D, baseline GLS and NT-proBNP concentrations may serve as prognostic factors, while they may predict the echocardiographic-based response to CRT.
Cardiac Device Therapy in Patients with Chronic Kidney Disease – an Update
Authors: Caba Bogdan , Vasiliu Laura , Covic Alexandra Maria , Sascau Radu Andy , Stătescu Cristian , Covic Adrian C.
Published: December 2023

Cardiovascular diseases (CVDs) and chronic kidney disease (CKD) are frequently interconnected and their association leads to an exponential increase in the risk of both fatal and non-fatal events. In addition, the burden of arrhythmias in CKD patients is increased. On the other hand, the presence of CKD is an important factor that influences the decision to pursue cardiac device therapy. Data on CKD patients with device therapy is scarce and mostly derives from observational studies and case reports. Cardiac resynchronization therapy (CRT) is associated with decreased mortality, reduced heart failure symptoms and improved renal function in early stages of CKD. Implantable cardioverter defibrillators (ICDs) are associated with a significant reduction in the mortality of CKD patients only for the secondary prevention of sudden cardiac death. Cardiac resynchronization therapy defibrillator (CRT-D) is preferred in patients that meet the established criteria. The need for cardiac pacing is 3-fold higher in dialysis patients. CKD is an independent risk factor for infections associated with cardiac devices.
Bovine Pluripotent Stem Cells: Current Status and Prospects
Authors: Chen Lan-Xin , Tang Bo , Xie Guang-Hong , Yang Rui , Zhang Bo-Yang , Wang Yue-Qi , Zhang Yan , Jiang Dao-Zhen , Zhang Xue-Ming
Published: December 2023

Pluripotent stem cells (PSCs) can differentiate into three germ layers and diverse autolo-gous cell lines. Being among the most commonly used large domesticated hoofed animals and serving as a vital source of food and bioreactors, cattle are among the many species in which PSCs have been developed. Bovine PSCs (bPSCs) are the "seed cells" of regenerative science and have immense potential to advance species propagation, genetic engineering, and disease treatment. Moreover, they can aid in screening new drugs for efficacy and toxicity, model human diseases, and establish a sustainable agricultural system that can cater to the needs of the growing global population. Establishing stable bPSCs in vitro has been a critical scientific challenge, and researchers have made numerous attempts to address this issue. This review primarily delves into the current research progress of bPSCs, the challenges faced, and their potential applications.
Clinical Findings of Listeria monocytogenes Infections with a Special Focus on Bone Localizations
Authors: Bongiovanni Marco , Cavallo Claudio , Barda Beatrice , Strulak Lukasz , Bernasconi Enos , Cardia Andrea
Published: December 2023

Listeria monocytogenes is a Gram-positive pathogenic bacterium which can be found in soil or water. Infection with the microorganism can occur after ingestion of contaminated food products. Small and large outbreaks of listeriosis have been described in the past. L. monocytogenes can cause a number of different clinical syndromes, most frequently sepsis, meningitis, and rhombencephalitis, particularly in immunocompromised hosts. L. monocytogenes systemic infections can develop following tissue penetration across the gastrointestinal tract or to hematogenous spread to sterile sites, possibly evolving towards bacteremia. L. monocytogenes only rarely causes bone or joint infections, usually in the context of prosthetic material that can provide a site for bacterial seeding. We describe here the clinical findings of invasive listeriosis, mainly focusing on diagnosis, clinical management and treatment of bone and vertebral infections occurring in the context of invasive listeriosis.
Impaired Mitochondrial Network Morphology and ROS production in Fibroblasts from Parkinson’s Disease Patients
Authors: Kritskaya Kristina A. , Fedotova Evgeniya I. , Berezhnov Alexey V.
Published: December 2023

The mitochondrial network (MN) is a dynamic structure undergoing constant remodeling in the cell. It is assumed that the violation of MN may be associated with various pathologies, including Parkinson’s disease (PD). Using automatic image analysis and super-resolution microscopy, we have assessed the MN parameters in fibroblasts from patients with established hereditary PD mutations (associated with PINK1, LLRK2, α-synuclein, PINK1 and Parkin simultaneously proteins) under normal conditions and after hydrogen peroxide-induced stress. Fibroblasts with Pink1/Parkin mutation are the most different in morphology from fibroblasts obtained from conditionally healthy donors: MN is larger, contains longer mitochondria and accumulated individual mitochondria. In addition to MN, we evaluated other cellular parameters, such as: cytosolic and mitochondrial ROS production and mitochondrial membrane potential. It has been shown that mitochondria of fibroblasts with mutations in genes encoding PINK1, α-synuclein and Pink/Parkin tends to hyperpolarization and cytosolic ROS overproduction, while mitochondrial ROS production was higher only in fibroblasts with PINK1 and α-synuclein mutation.
Electrochemical Performance of Metal-Free Carbon-Based Catalysts from Different Hydrothermal Carbonization Treatments for Oxygen Reduction Reaction
Authors: Fontanesi Claudio , Marchetti Andrea , Innocenti Massimo , Giovanardi Roberto , Girimonte Aldo , Stefani Andrea , Mucci Clara
Published: December 2023

This research investigates the difference on the products obtained through two hydrothermal carbonization treatments. Our aim is to synthesize metal-free, carbon-based catalysts for the Oxygen Reduction Reaction (ORR) to serve as efficient and cost-effective alternatives to plati-num-based catalysts. Catalysts synthesized using the traditional hydrothermal approach exhibit a higher electrocatalytic activity for ORR in alkaline media, despite a more energy-intensive pro-duction process. The superior performance is attributed to differences in particle morphology and to the chemical composition of the particle surfaces. The presence of functional groups on the surfaces of catalysts obtained via traditional approach significantly enhances ORR activity by fa-cilitating deprotonation reactions in an alkaline environment. Our research aims to be a reference for future investigations, shifting the focus to the fine-tuning of surface chemical compositions and morphologies of metal-free catalysts to enhance ORR activity.
Cryogenic Treatment of Martensitic Steels: Microstructural Fundamentals and Implications for Mechanical, Wear and Corrosion Performance
Authors: Jurči Peter , Dlouhý Ivo
Published: December 2023

Conventional heat treatment is not capable of converting a sufficient amount of retained austenite into martensite in high-carbon or high-carbon and high-alloyed iron alloys. Cryogenic treatment induces the following alterations in the microstructures: (i) a considerable reduction in the retained austenite amount, (ii) formation of refined martensite coupled with an increased number of lattice defects, such as dislocations and twins, (iii) changes in the precipitation kinetics of nano-sized transient carbides during tempering, and (iv) an increase in the number of small globular carbides. These microstructural alterations are reflected in mechanical property improvements and better dimensional stability. A common consequence of cryogenic treatment is a significant increase in the wear resistance of steels. The current review deals with all the mentioned microstructural changes as well as the variations in strength, toughness, wear performance, and corrosion resistance for a variety of iron alloys, such as carburising steels, hot work tool steels, bearing and eutectoid steels, and high-carbon and high alloyed ledeburitic cold work tool steels.
Colorimetric Films Based on Polyvinyl Alcohol and Anthocyanins Extracted from Purple Tomato to Monitor the Freshness of Shrimp
Authors: Qi Yangyang , Li Yana
Published: December 2023

Anthocyanins extract from purple tomato (PTA) was incorporated with polyvinyl alcohol (PVA) so that a series of colorimetric films of PVA/PTA (based on PVA) were prepared. The role of anthocyanin on color response, FTIR, thickness, water content, mechanical properties, antioxidant activity, and permeation of water vapor through the films was examined. In addition, its application in smart packaging to assess the freshness of shrimp was studied. It was found that the tensile strength, contact angle and WVP of PVA/PTA films increases with the addition of more PTA, while the elongation at break and water content decreased. FTIR analysis showed that there are interactions between PTA and PVA matrix. The addition of anthocyanins caused to a significant improvement for the antioxidant properties of PVA films. Furthermore, the total volatile alkaline nitrogen (TVB-N), total plate count (TPC) and pH value of shrimp were monitored after 4 days of refrigeration, and the color change of the indexes was recorded. The PVA/PTA films changed color from purple to yellow-green during the storage time of 0-4d for shrimp, this suggests that the film could be used in smart packaging as a real-time freshness indicator for shrimp.
Effect of Roller Burnishing and Slide Roller Burnishing on Surface Integrity of AISI 316 Steel: Theoretical and Experimental Comparative Analysis
Authors: Maximov Jordan , Duncheva Galya , Anchev Angel , Dunchev Vladimir , Anastasov Kalin , Daskalova Petya
Published: December 2023

The article presents a new method called slide roller burnishing (SRB) for cold working of cylindrical surfaces on machine tools, implemented with a novel multi-functional device. The machined material was chromium–nickel austenitic stainless steel. The deforming element is a toroidal roller whose axis crosses that of the workpiece. As a result, a relative sliding velocity occurs in the contact zone between the roller and the machined surface. The sliding velocity vector is set using the burnishing device. The theoretical background of SRB is presented. When the two axes are parallel, the well-known roller burnishing (RB) method is implemented. Thus, RB is a special case of SRB. Both processes are realized using the multi-functional burnishing device. The RB process was studied experimentally and optimized according to three criteria, based on the relationship between the surface integrity and operating behavio of the respective component, to achieve three processes: smoothing, hardening and mixed burnishing. Using the optimal RB parameters obtained, the dependence of the results of SRB on the crossing angle was investigated and optimized. A comparative analysis was performed between the optimized RB and SRB processes (respectively for their three variants: smoothing, hardening and mixed) based on geometrical and physical–mechanical characteristics of the surface integrity. The main advantage of the SRB is that it provides smaller height roughness parameters and a higher surface microhardness than RB.
Service-Learning and Digital Empowerment: The Potential for the Digital Education Transition in Higher Education
Authors: Aramburuzabala Pilar , Culcasi Irene , Cerrillo Rosario
Published: December 2023

In an era driven by technology and connectivity, where the sphere of learning goes beyond conventional classrooms, e-Service-Learning (e-SL) merges the possibilities of technology with the principles of experiential education in a powerful blend [1]. Service-learning (SL) is an educational proposal that has been cited by UNESCO [2] as an innovative educational tool through which to address the complex challenges of our society. The Sustainable Development Goals [3] provide a framework around which to structure the SL projects and thus develop the skills needed to act on the full range of goals. Embedding digital means open a debate on the intricate relationship between technology, education, and societal impact [4]. By analyzing two focus groups involving faculty, students and community partners, this contribution aims to explore the potential of combining SL and digital empowerment (DE). The focus group participants discussed the opportunities for innovation, the expected impact on them and the society at large, their needs and the pre-conditions needed to make SL and DE successful, and limitations. The results are presented according to the six principles of sustainability education in the university environment, highlighting the transformative potential of combining these principles within SL and DE.
Biomechanical Quantification of Effective Offensive Range and Ball Speed Enhancement of the Diving Header in Soccer: Insights for Skill Advancement and Application Strategy
Authors: Shan Gongbing , Liu Yufeng , Gorges Tom , Zhang Xiang , Witte Kerstin
Published: December 2023

This pioneering study presents an in-depth biomechanical examination of soccer's diving header, aiming to quantify its impact on ball speed enhancement (BSE) and effective offensive range (EOR). Despite the diving header's widespread acclaim and historical significance, there remains a dearth of scientific scrutiny into its biomechanical intricacies. Employing an innovative research design featuring a static hanging ball at varied offensive distances and heights, the study replicates diverse header scenarios. The results of 3D motion quantification have shown that a physically excellent player (identified through the maximal standing long jump test) could reach an EOR around 2.64 times his body height. Furthermore, the study unveils that proficient players could attain BSE surpassing 9 m/s, signifying the diving header's heightened efficacy compared to traditional heading techniques, which could only result in 4.5 m/s. Correlation analyses unveil noteworthy relationships, highlighting the pivotal role of head speed at impact and the influence of minimizing speed-drop and temporal disparities for amplified effectiveness. Considerations for optimizing diving header execution are introduced, emphasizing the necessity for targeted training programs. Despite acknowledged limitations inherent to its pilot nature, this exploration furnishes foundational knowledge to guide subsequent research and practical applications, providing valuable insights into soccer training and skill development through a biomechanical lens.
Advancing Educational Equity: A Comprehensive Analysis of Integration in Contemporary Education Systems
Authors: Abduraimov Sherali Saydikarimovich , Xolmatov Javohir Yusupovich , Kholmatov Javlon , Firdavs Almuratov
Published: December 2023

This comprehensive research investigates the multifaceted role of integration in modern education systems, aiming to advance educational equity and inclusivity.Introduction: The introduction sets the stage by delineating the historical evolution of integration in education, highlighting pivotal milestones, and contextualizing the current discourse on fostering inclusive learning environments.Materials and methods: This section details the research design, participant selection criteria, and data collection methods. By employing a mixed-methods approach, combining surveys, interviews, and observations, the study seeks to capture the complexities of integration. Results: Presenting the results entails a meticulous examination of the impact of integration on academic outcomes and social dynamics within educational settings. Statistical analyses and qualitative insights converge to reveal the nuanced relationships between integration practices and student experiences. Discussion: The discussion section critically analyzes the findings in the context of existing literature, offering insights into the broader implications of integration. By addressing challenges and barriers identified during the study, the discussion aims to guide educators, administrators, and policymakers in navigating the complexities of integrating diverse student populations effectively. Conclusions: The concluding section synthesizes the key findings, emphasizing their significance in advancing educational equity through integration. Recommendations are made for educators, policymakers, and researchers to leverage the transformative potential of integration. The section acknowledges study limitations, calls for future research directions, and concludes with a resounding commitment to fostering an inclusive educational system that reflects the principles of equity and social justice.
Aggressive Аngiomyxoma of the Female External Genitalia - A Rare Clinical Case
Authors: Gincheva Dobrinka Hristova , Gorchev Grigor Angelov , Vanov Aleksandar Vanov , Gincheva Veronika Hristova
Published: December 2023

Aggressive angiomyxoma (AAM) is a rare and benign mesenchymal tumor, localized predominantly in the female pelvis. Its invasive growth and local recurrence are challenging for professionals. Histologically, AAM is a tumor with a myxoid, highly vascularized stroma. The diagnosis is made relatively late due to nonspecific symptoms. Treatment of AAM is extensive local surgical excision. Gonadotropin-releasing hormone agonists are added postoperatively. The prognosis is good and metastasis is rare.

We present a case of an AAM located in the left greater labial area in a 50-year-old woman initially diagnosed as left inguinal hernia.

The tumor was extirpated under epidural anaesthesia on the date of the patient's informed consent.

The patient was prescribed postoperative therapy with Zoladex 3,6 mg according to the schedule. The patient was subjected to monthly gynecological check-ups for one year after the surgical intervention. To date, no recurrence of the underlying disease has been detected. Long-term results show a good trend.

In conclusion, we can say that the optimal treatment of AAM is wide local excision. Рadicality is not recommended because of the risk of postoperative complications. Postoperative administration of GnRH-a is advisable to avoid recurrences. All patients undergo regular follow-up examinations for long-term.
Ecological Quality Evaluation of Large-scale Farm Based on Improved Remote Sensing Ecological Index
Authors: Wang Jun , Jiang Lili , Qi Qingwen , Wang Yongji
Published: December 2023

Large-scale farms are pivotal sites for the development of the agricultural industry, and the quality of the ecological environment is a significant factor affecting the growth of cereal crops. Consequently, assessing the ecological quality of large-scale farms is of great importance. This paper leverages the advantages of remote sensing imagery for long-term, quantitative, and dynamic monitoring of ecological quality over extensive areas. It develops an ecological assessment procedure suitable for agricultural regions based on an Improved Remote Sensing Ecological Index (IRSEI), which considers the coupling of ecosystem component elements. This procedure introduces a Pan-Salinity Index (PSI) tailored to the characteristics of soil salinization in farming areas and incorporates an ecological greenness index based on the Normalized Difference Vegetation Index (NDVI), an ecological humidity index derived from the K-T transform (WET), an ecological dryness index synthesized from the bare soil index and the built-up index (NDBSI), and an ecological heat index represented by the Land Surface Temperature (LST) calculated from atmospheric parameter models. These five indices are integrated into the ecological assessment system. The experimental results visually demonstrate the development and changes of ecological impact factors in the farm research area over the past decade, as well as the spatiotemporal variations in the quality of the farm's ecological environment. The findings indicate that between 2010 and 2019, the overall trend of IRSEI first declined, then rose, and subsequently experienced a slight decrease. Through differential analysis, regions and areas with declining ecological quality were identified, providing a data reference for the formulation and implementation of future ecological protection and management measures for the farm. The proposed IRSEI method offers a rapid and effective new monitoring approach for agricultural planting areas with a tendency towards soil salinization.