bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of Virulence Genes, Antimicrobial Susceptibility and Pathogenicity of Aeromonas veronii Isolates from Labeo rohita and Catla catla
Authors: Lavanya Chethurajupalli , Neeraja Tambireddy , Ramana T.V. , Dasari Mamatha , Boda Satyanarayan , Narra Mohana Swapna , Sravani Ramadasu Srinivasulu , Bheemeswararao K.
Published: November 2023

Background: Aeromonas veronii is the most common bacterium responsible for diseases in freshwater fish rearing systems. Multiple factors can be involved in the virulence processes of Aeromonas bacteria. Hence, the purpose of the present investigation was to evaluate the virulence genes, antimicrobial susceptibility and pathogenicity of A. veronii isolated from freshwater fishes. Methods: In this investigation, we isolated A. veronii from cultured freshwater fishes, Labeo rohita and Catla catla. A. veronii was identified by bacterial staining and culture characteristics. In addition, Polymerase chain reaction (PCR) was used to evaluate the distribution of nine virulence genes including aerolysin, cytotonic enterotoxin (442, 272 bp), elastase, enolase, flagellin, lipase, serine protease and DNase. Result: A total of 88 A. veronii strains were isolated, which includes 56 strains from rohu and 33 strains from catla. The strains were Gram-negative, rod-shaped, motile bacteria and the colonies are yellow on blood agar. All the A. veronii strains were positive for at least one or more virulence genes tested. The isolates carried more virulence genes, especially in the combination of aer,alt, ela, lip, AhyB genes were found to be more virulent. Antimicrobial susceptibility to 17 antibiotics was determined and the strains of A. veronii showed 100% resistance to tetracycline, pencillin and β-lactum group of antibiotics. In addition, multiple antibiotic resistance (MAR) indexes ranged from 0.24 to 0.76, suggesting that they originated from high risk contaminated zones were (W. Godavari and Nellore districts) antimicrobials are often used.
Application of Artificial Intelligence in Monitoring of Animal Health and Welfare
Authors: AlZubi Ahmad Ali , Al-Zu'bi Maha
Published: November 2023

Blackground: With the advent of AI technology, great strides have been made in the realm of animal healthcare. This article delves into the numerous uses of AI in veterinary medicine and demonstrates its revolutionary potential in the field. Artificial intelligence (AI) algorithms have shown impressive skills in illness detection, using medical imaging analysis to help veterinarians discover and categorise diseases with greater accuracy and efficiency. Furthermore, predictive analytics algorithms use various data sources, such as electronic health records and genetic profiles, to recognise trends and forecast illness outbreaks, allowing veterinarians to remotely monitor vital signs and act swiftly paving the way for preventative measures and individualised treatment. Methods: The purpose of this article is to offer a synopsis of the many ways in which artificial intelligence (AI) is being used to improve the health and well-being of animals. Understanding the effects of AI in animal healthcare and setting the stage for its further development will be accomplished via an examination of the present state of the subject. Results: It is evident that through mountains of data from studies and clinical trials, AI is helping to speed up the discovery of novel treatments and improve the understanding of animal health. A responsible and useful application of AI in animal healthcare requires the establishment of ethical concerns, data protection, and regulatory frameworks. Method: This document provides a synopsis of the many ways in which artificial intelligence (AI) is being used to improve the health and well-being of animals.
In-silico Study of Phytochemicals of Ethnobotanical Plant Cannabis sativa for Anti-Diabetic Potential
Authors: Chauhan Arti , Sharma Priyanka , Durgapal Anjala , Chandra Subhash
Published: November 2023

Ethnobotany is an applied multidisciplinary science in which we not only systemically study inter-relations between human and plant kingdom but also has applications in many fields, including food industry, climate change, biodiversity conservation, and human health. Ethnobotanical plants form an integral part of human life. Many medicinal and aromatic plants are used by locals and nomadic people, which come from a wild source. According to Atharva-Veda, Cannabis is one of the most sacred plants.Perfect development provides insurance for health and healthy life and maintains stability in the ecosystem. If we deeply observe our different traditions, we will find that every ritual shows the close relationship of humans with nature. There are a number of natural ingredients used for performing different rituals. Cannabis is the plant that is commonly known as “Bhang”. Cannabis has been traditionally associated with lord “Shiva” worship. There are various stories behind these rituals mentioned in various mythology books. In this research, we focus on this plant’s ethnomedicinal value and assessed the antidiabetic potential of Cannabis sativa, an ethnobotanical plant of Ranikhet tehsil, by in-silico method. Hence, we conducted molecular docking of phytochemicals with molecular antidiabetic targets, alpha-amylase. The aim of this paper is an in-silico study of the C. sativa’s phytochemicals on the glucose metabolism related to alpha-amylase. From our study, we hope to find potential phytochemicals which could be useful in treating diabetes problems
Thin Layer Chromatographic Profiling, Antioxidant and Antidiabetic Activity of Selected Medicinal Plants
Authors: Dodia Richa , Sahoo Susmita
Published: November 2023

Diabetes mellitus is a disorder whose frequency is speedily increasing everywhere on the planet. According to the World HealthOrganization (WHO), a United Nations Agency, polygenic diseases are going to be the seventh leading reason for death in 2030. Several healthful plants like Citrullus lanatus, Trigonella foenum-graecum, and Murraya koenigii are used for the treatment of diabetes disorders in the Indian medicine system and different ancient systems of the world. These three plant leaves were collected from Vadodara and Anand, Gujarat. Thin layer chromatography profiling of all three plant leaves confirmed the presence of various common classes of phytochemicals such as rutin, gallic acid, tannic acid, and quercetin in both cities. Thin layer chromatographic analysis of a particular leaf revealed various retention factor values in the range of 0.01 to 0.97. Also, C. lanatus, T. foenum-graecum, and M. koenigii plant leaves confirmed the antioxidant and antidiabetic activity but C. lanatus from Anand city was found to be the best plant. The study will help in the future to identify this plant for further research in industries and pharmaceutical companies.
Resolving Independent Dominating Set pada Graf Bunga, Graf Gear, dan Graf Bunga Matahari
Authors: Prihandini Rafiantika Megahniah , Az-Zahra Nabilah Ayu , Dafik  , Prihandoko Antonius Cahya , Adawiyah Robiatul
Published: November 2023

Resolving independent dominating set is the development of metric dimension and independent dominating set. Resolving independent dominating sets is a concept which discusses about determining the minimum vertex on a graph provided that the vertex that becomes the dominating set can dominate the surrounding vertex and there are no two adjacent vertices dominator and also meet the requirement of metric dimension where each vertex in graph G must have a different representation which respect to the resolving independent dominating set . In this study, we examined the resolving independent dominating set of flower graphs, gear graphs, and sunflower graphs.
A Novel Flexible Joint for Bamboo Structures
Authors: Seixas Mario , Moreira Luis Eustáquio , Cardoso Daniel
Published: November 2023

Joints are one of the main problems concerning the design of bamboo structures. This paper proposes a classification of the main joints applied in full-culm bamboo structures according to their constructive behavior, subdivided into semi-rigid and flexible joints. A novel flexible joint
called the Hinged Flexible Connection (HFC) for lightweight bamboo structures is developed and analytically described, allowing for a deployable motion in the center of the joint and mobile assembly procedures. The joining system utilizes lashed polyester ropes and bio-composite rings coupled
in the bamboo culms working as geometric and mechanical constraints. The HFC has the potential to substitute bolted joints for the engineering design of bamboo structures.
“Life Starts at Less than Zero”: Trauma and Coping among Iraqi and Syrian Refugees
Authors: Ipekci Bediha
Published: November 2023

The ongoing conflict in Syria and Iraq has caused many residents of these countries to flee. This study explored how these refugees cope with traumatic experiences from pre-migration to post-migration phases and how they develop resilience experiences at the individual, familial, and community levels. Data were collected through individual interviews and analyzed using Interpretative Phenomenological Analysis. A discussion of the findings revealed (1) a cumulative effect of prolonged adversity from pre-migration to resettlement phases; (2) the impacts of post-migration context as it facilitates refugees’ adjustment or leads to re-traumatization through increased marginalization; and (3) finally, an overview of refugees’ ongoing survival. Clinical implications are presented along with policy implications and future directions for research.
Predicting Road Traffic Collisions Using a Two-Layer Ensemble Machine Learning Algorithm
Authors: Oyoo James Oduor , Wekesa Jael Sanyanda , Ogada Kennedy Odhiambo
Published: November 2023

Road collisions are among the world’s critical issues causing many casualties, deaths, and economic losses. To deal with this scenario, precise analysis is required. In this paper, we use Machine Learning (ML) techniques to assess and predict road traffic collisions. An ensemble machine learning model with two layers was developed to analyze simulation data from the driving simulator. The first (base) layer integrates supervised learning techniques namely, k- Nearest Neighbors (k-NN) AdaBoost, Naive Bayes (NB), and Decision Trees (DT). The second layer predicts road collisions by combining the base layer outputs by employing the stacking ensemble method using logistic regression as a meta-classifier. The data for this study were imbalanced; therefore, we performed a SMOTE resampling strategy to handle the dataset imbalance. To simplify the model, the PSO algorithm was used to select the most important features in our dataset. The two-layer ensemble model proposed had the best outcomes with an accuracy of 88%, F1 score of 83%, and an AUC of 86% as compared with k-NN, DT, NB, and AdaBoost.
Management of Juvenile Osteochondral Fractures Utilising Absorbable PLGA Implants
Authors: Nudelman Hermann , Lőrincz Aba , Lamberti Anna Gabriella , Varga Marcell , Kassai Tamás , Józsa Gergő
Published: November 2023

The incidence of articular injury, particularly osteochondral fractures (OCF), has seen a notable increase in recent years. Regardless of their location, fragments might be overlooked by plain radiographs which might lead to osteoarthritis in the long run. Diagnostic imaging has a pivotal role in the assessment and classification of the fracture severity, as well as the presence of any associated dislocations. These fractures require surgical intervention for the restoration of joint function and the reduction of long-term complications. The paper aims to present the surgical correction and post-operative treatment of osteochondral fractures with absorbable implants in three children. Affected areas are discussed as follows: lateral condyle of the femur, patella, and radial head. Utilising absorbable implants for the management of OCFs provides numerous advantages, including the elimination of the need for reanaesthesia and reoperation, reducing complications, and enabling early rehabilitation. This approach also minimises the period of hospitalisation and proved effective in pediatric OCF treatment.
Hot-Pressed Super-Elastic Graphene Aerogel with Bidirectional Thermal Conduction Properties as Thermal Interface Materials
Authors: Lv Peng , Zhou Xiaofeng , Chen Songyue
Published: November 2023

Traditional graphene-based films normally possess high thermal conductivity (TC) only along single direction, which is not suitable for thermal interface materials (TIMs). Here, a graphene film with excellent bidirectional TC and mechanical properties was prepared by hot-pressing super-elastic graphene aerogel (SEGA). Thermal annealing at 1800℃ improves the further restacking of graphene sheets, bring the SEGA high structure stability for enduring the hot-pressing process. The junctions and nodes between the graphene layers in the hot-pressed SEGA (HPSEGA) film provide bidirectional heat transport paths. The in-plane TC and through-plane TC of HPSEGA film with thickness of 101μm reach 740 Wm-1K-1 and 42.5 Wm-1K-1, respectively. In addition, HPSEGA film with higher thickness still maintains excellent thermal transport properties due to the interconnected structure reducing the effect of the defects. The infrared thermal images visually manifest the excellent thermal-transfer capability and thermal dissipation efficiency of the HPSEGA films, indicating the great potential as advanced bidirectional TIMs.
Low Oncostatin M Levels Are Associated with the Pathogenesis of Pcos and Its Metabolic Complications
Authors: Camili Figen Efe , Akis Merve , Adali Ertan , Hismiogullari Adnan Adil , Taskin Mine Islimye , Guney Gurhan , Afsar Selim
Published: November 2023

Background: Polycystic ovary syndrome (PCOS) is a common reproductive and endocrinological disease characterized by ovulatory dysfunction, polycystic ovaries, and hyperandrogenism. Adipokines are believed to contribute to developing PCOS and its accompanying metabolic complications such as dyslipidemia, insulin resistance, and cardiovascular diseases. Oncostatin M (OSM), a novel adipokine, plays a role in oogenesis, lipogenesis, and inflammation and may contribute to PCOS pathogenesis and its related metabolic problems. Methods: In this case-control study, the patients were grouped in a 1:1 ratio into either the PCOS (n = 32) or the control group (n = 32). Blood samples were obtained between the 3rd and 5th days of the menstrual cycle. Serum levels of fasting glucose, insulin, C-reactive protein (CRP), low-density lipoprotein, high-density lipoprotein, triglyceride, white blood cell count, thyroid-stimulating hormone, luteinizing hormone, follicle-stimulating hormone, total testosterone, prolactin estradiol, and OSM were analyzed. Results: OSM levels were significantly lower, but CRP levels were substantially higher in the PCOS group than in the control group (p = .002, p = .001, respectively). OSM was inversely correlated with total cholesterol, non-high-density lipoprotein cholesterol, fasting glucose, and the luteinizing hormone/follicle-stimulating hormone ratio (ρ = .329, p = .017; ρ = .386, p = .005; ρ = .440, p = .001; ρ = .316, p = .023, respectively). Conversely, there was no correlation between OSM and total testosterone level (ρ = .220; p = .118). In the context of inflammation and metabolic parameters, OSM was inversely correlated with CRP, Homeostatic Model Assessment for Insulin Resistance score (HOMA-IR), and low-density lipoprotein cholesterol (LDL) (ρ = .353, p = .019; ρ = .275, p = .048; ρ = .470, p < .001, respectively). The performance of Oncostatin M for diagnosing PCOS showed 50% sensitivity, 75% specificity, and 63% accuracy (p = .009) in ROC curve analysis. Conclusions: Plasma OSM levels were considerably lower in patients with PCOS than in the control group, and this was inversely correlated with the hormonal and metabolic parameters of PCOS. Thus, OSM may be a novel therapeutic target for PCOS and metabolic complications.
Lean Product and Process Development in an Automotive Company
Authors: Gomes Margarida , Correia Mariana , Marques Filipe , Alves Anabela C.
Published: November 2023

Product Development Process is widely known among industry and automobile companies. With the advance of technology and the need to improve product efficiency, many companies have been applying Lean Thinking principles. Their benefits lead those companies to implement their concepts and tools, like Value Stream Design in Indirect Areas, Obeya, Just-in-time (JIT) which is based on the production control system developed and implemented by Toyota. This article describes the case study of the implementation of Lean Product & Process Development (LPPD) on the current Product Development Process (PDP) in an automotive company. The PDP was created by the organization and adapted from Advanced Product Quality Planning (APQP). The main findings were a Value Stream Design model of an improved PDP as a useful and successfully contribution for the company. These improvements reduced the product development lead time from 700 days to 369 days. The process efficiency increased from 68% to 85%. The communication and transparency between the cross-functional team (CFT) was improved and show promise for achieving a successful launch of new products.
Positive Regulation of S-adenosylmethionine on Chondrocytic Differentiation via Stimulation of Polyamine Production and the Gene Expression of Chondrogenic Differentiation Factors
Authors: Hoang Loc Dinh , Aoyama Eriko , Hiasa Miki , Omote Hiroshi , Kubota Satoshi , Kuboki Takuo , Takigawa Masaharu
Published: November 2023

S-adenosylmethionine (SAM) is considered to be a useful therapeutic agent for degenerative cartilage diseases, although its mechanism is not clear. We previously found that polyamines stimulate expression of differentiated phenotype of chondrocytes. We also found that cellular communication network factor 2 (CCN2) played a huge role in the proliferation and differentiation of chondrocytes. Therefore, we hypothesized that polyamines and CCN2 could be involved in the chondroprotective action of SAM. In this study, we initially found that exogenous SAM enhanced proteoglycan production but not cell proliferation in human chondrocyte-like cell line-2/8 (HCS-2/8) cells. Moreover, SAM enhanced gene expression of cartilage-specific matrix (aggrecan and type II collagen), Sry-Box transcription factor 9 (SOX9), CCN2 and chondroitin sulfate biosynthetic enzymes. Blockade of the methionine adenosyltransferase 2A (MAT2A) enzyme catalyzing intracellular SAM biosynthesis restrained the effect of SAM on chondrocytes. The polyamine level in chondrocytes was higher in SAM-treated culture than control culture. Additionally, alcian blue staining and RT-qPCR indicated that the effects of SAM on the production and gene expression of aggrecan were reduced by the inhibition of polyamine synthesis. These results suggest that the stimulation of polyamine synthesis and gene expression of chondrogenic differentiation factors, such as CCN2, account for the mechanism underlying the action of SAM on chondrocytes.
Analysis and Comparison of Visual Preference of Rural Recreation Path Landscape -- A Case Study of Baofeng Village in Yunlong
Authors: Wan Zijun , Yang Han , Yan Yu
Published: November 2023

A scientific investigation into visual preferences of rural recreation path landscapes is crucial for enhancing visual qualities and visitors' experience. Taking Baofeng, a representative traditional village in Yunlong, as an example, this study analyzed the visual preference of three typical linear recreational paths with different landscape attributes. We used eye-tracking technology to collect eye movement data and conducted a subjective semantic differential evaluation. Our findings manifest a general inclination amongst individuals to favor closer views and paths with clear trajectories and rich elevation changes while walking, despite preference differences on different types of paths. Regarding group diversity, more inclusive design should be made to meet the sensory needs of different groups. Moreover, despite the limited level of correlation between subjective and objective evaluation methods, combining these two approaches remains indispensable. This synthesis advances prior quantitative landscape evaluation with a specific focus on rural path landscapes and upholds the integrity of results by combining objectivity with subjectivity. It also provides relevant design suggestions for further rural renewal and path planning of Baofeng village.
Contributions of Nano-Nitrogen Fertilizers (NNFs) to Sustainable Development Goals: A Comprehensive Review
Authors: Abhiram Gunaratnam
Published: November 2023

Nano-nitrogen fertilizers (NNFs) have emerged as a promising technology in the field of agriculture, offering potential solutions to improve nutrient uptake efficiency, enhance crop productivity, and reduce environmental impacts. The NNFs showed superior characteristics and performance on crops and therefore, became a potential alternative to conventional nitrogen (N) fertilisers. These fertilizers enhance plant uptake while simultaneously reducing environmental losses. Additionally, their small particle size increases crop acclimation and decreases the application rate. With all these beneficial traits of NNFs, they potentially contribute to achieving Sustainable Development Goals (SDGs). This review article summarises the materials used in NNFs formulation, methods of preparing NNFs, and their crop responses. This review also highlights the limitations identified in the research studies and provides research recommendations for the future. Further, this review provides a critical assessment of the current state of NNFs and their prospects for revolutionizing modern agriculture to attain SDGs.
Biomimetic Materials Based on Poly-3-Hydroxybutyrate and Chlorophyll Derivatives
Authors: Tyubaeva Polina M. , Gasparyan Kristina G. , Romanov Roman R. , Kolesnikov Evgeny A. , Martirosyan Levon Y. , Larkina Ekaterina A. , Tyubaev Mikhail A.
Published: November 2023

Biomimetic materials are substances that replicate natural structures. There are several methods for producing such materials with highly developed surfaces from a wide range of polymers, but electrospinning is of particular interest due to its simplicity of implementation and the ability to modify the produced fibrous materials resembling structures found in living organisms. This study explores new biomimetic materials based on polyhydroxyalkanoates, specifically poly-3-hydroxybutyrate, modified with chlorophyll derivatives. The research investigates the impact of chlorophyll derivatives on the morphology, supramolecular structure, and key properties of nonwoven materials. The obtained results are of interest for the development of new biomimetic environmentally friendly materials for biomedicine with special properties.
Comparative Analysis of Vascular Calcification Risk Factors and Biomarkers in Pre-Hemodialysis and Prevalent Hemodialysis Patients
Authors: Petrović Marko , Brković Voin , Baralić Marko , Maric Ivko , Petković Nenad , Stankovic Sanja , Lalic Natasa , Stanisavljevic Dejana , Ležaić Višnja
Published: November 2023

Introduction. This retrospective study aimed to compare the risk factors for vascular calcification (VC) between pre-hemodialysis (HD) and prevalent HD adult patients while investigating associations with calcification biomarkers.
Methods. Baseline data from 30 pre-HD and 85 HD patients were analyzed, including iPTH, vitamin D, FGF23, fetuinA, sclerostin, and VC scores (Adragao method). Multivariable linear regression identified VC predictors.
Results: The prevalence of VC was similar in both groups, but HD patients had more pronounced VC scores ≥6. Pre-HD patients were older, with higher prevalence of Balkan endemic nephropathy, hypertension, and less frequent use of calcium phosphate binders. Both groups exhibited similar patterns of hyperphosphatemia, low vitamin D, and iPTH levels. In HD group normal phosphate was significantly common in patients with VC, whereas hyperphosphatemia was significantly common in patients without VC. Fetuin-A levels were higher in pre-HD patients, while FGF23 was elevated in HD patients. In pre-HD patients, male gender was associated with reduced VC risk, while in HD patients, malignancies and serum phosphate levels were negative VC predictors.
Conclusion: Effective monitoring and tailored treatment of VC in CKD are still focused on phosphate regulation. Besides, mineral disturbances, hormones and biomarkers regulation, and patient-specific variables need to be considered.
Adherence to Mediterranean Diet and Food Neophobia Occurrence in Children: A Study Carried Out in Italy
Authors: Nucci Annalisa Di , Pilloni Simone , Scognamiglio Umberto , Rossi Laura
Published: November 2023

Food Neophobia (FN), defined as the reluctance to eat new or unfamiliar foods, mainly concerns fruit, vegetables, and legumes, typical of the Mediterranean Diet (MD). Considering these premises, this study aimed to clarify the relationship between FN and AMD in a sample of Italian children and their association with some socio-demographic factors and children's nutritional status. A sample of 288 children aged 3-11 years, participated to an assessment carried out with a questionnaire evaluating FN and AMD, respectively with Child Food Neophobia Scale (CFNS) and the KIDMED Test. Most of the sample showed an intermediate (67.3%) or high level of FN (18.1%) with high rates among 6-11 years old children (63.9%) and especially in only-child (50%). The AMD was mostly low (29.5%) or medium (54.8%) and reached lower levels among higher neophobic children (51.9%; p value < 0.05). Present results confirm the study hypothesis that FN is a driver of MD abandonment and show the positive effects on children's eating habits of having siblings. Finally, this study proves the relevance of adopting effective feeding strategies against FN to avoid its maintenance in adulthood and detrimental effects on future overall health and well-being.
Mechanical Properties of Four CAD-CAM Esthetic Ceramic Systems Used for Monolithic Restorations: A Comparative In Vitro Study
Authors: Abu-Naba'a Layla A. , Ziyad Tareq , Almohammed Saleh N.
Published: November 2023

This study aimed to evaluate and compare the mechanical properties of three CAD-CAM monolithic esthetic zirconia (Ceramill® Zolid FX Multilayer (ZF), IPS e.max® ZirCAD MT Multi (ZM), and KATANATM STML (KS)) with a CAD-CAM lithium disilicate glass-ceramic (IPS e.max® CAD LT (MC)) as control. 80 samples (20/group) were milled, sintered, and subjected to a three-point bending test (3-PBT) to measure flexural strength and elastic modulus; Vickers indentations were used to measure microhardness. The numerical outcomes were analyzed using one-way ANOVA with a statistical significance set at <0.05. Zirconia showed superior mechanical properties compared with lithium disilicate (P<0.05). ZM had the highest values of flexural strength (P<0.05), KS and ZM showed significantly higher elastic modulus values than ZF (P<0.05), and ZF and KS microhardness values were significantly higher than ZM (P<0.05). Monolithic multi-layered zirconia had enhanced mechanical properties when compared with lithium disilicate and can be a predictable replacement in clinical applications.
SO(3)-Irreducible Geometry in Complex Dimension Five and Ternary Generalization of Pauli Exclusion Principle
Authors: Abramov Viktor , Liivapuu Olga
Published: November 2023

We propose a notion of a ternary skew-symmetric covariant tensor of 3rd order, consider it as a 3-dimensional matrix and study a ten-dimensional complex space of these tensors. We split this space into a direct sum of two five-dimensional subspaces and in each subspace there is an irreducible representation of the rotation group SO(3)↪SO(5). We find two independent SO(3)-invariants of ternary skew-symmetric tensors, where one of them is the Hermitian metric and the other is the quadratic form. We find the stabilizer of this quadratic form and its invariant properties. Making use of these invariant properties we define a SO(3)-irreducible geometric structure on a five-dimensional complex Hermitian manifold. We study a connection on a five-dimensional complex Hermitian manifold with a SO(3)-irreducible geometric structure, find its curvature and torsion. The structures proposed in this paper and their study are motivated by a ternary generalization of the Pauli’s principle proposed by R. Kerner.
Perception of Personal Participation in Resuscitation Procedures: A Qualitative Study
Authors: Koželj Anton , Strauss Maja , Poštuvan Vita , Strauss Koželj Anže , Strnad Matej
Published: November 2023

Resuscitation is one of the most stressful tasks in emergency medicine. The participation of medical professionals in this procedure can have specific effects on them. In the research, we wanted to find out what these effects are. A qualitative approach by conducting semi-structured interviews was used, and thematic data analysis of the recorded interviews was done. The collected data were transcribed verbatim with no corrections to the audio recordings. The computer program ATLAS.ti 22 was used for qualitative data analysis. Eleven male registered nurses were interviewed, with an average of 18.5 years of experience working in a prehospital environment (max. 32/min. 9). A total of 404 minutes of recordings were analyzed and 789 codes were found, which were combined into 36 patterns, and 11 themes. As the most stressful situa-tions, the interviewees pointed out the resuscitation of a child, familiar persons, conflicts with the environment, conflicts within the resuscitation team, non-functioning or insufficient equipment, complications during resuscitation, and resuscitating a person only for exercise. As positive effects, the interviewees cited successful resuscitations or their awareness that, despite the unsuccessful resuscitation, they did everything they could. Participation in these interven-tions has a specific positive or negative impact on the performers. The interviewees shared the opinion that they can cope effectively with resuscitation's adverse or stressful effects. Yet, de-spite everything, they allow the possibility of subconscious influences of this intervention on them.
Efficient Synthesis of Mannopyranoside-Based Fatty Acyl Esters: Effects of Acyl Groups on Antimicrobial Activities
Authors: Rahaman Md. Lutfor , Rahman Md. Atiqur , Hasnain Md. Mohin , Amran Mohammad , Emran Talha Bin , Khan Md Ashikur Rahaman , Patwary Md. Abdul Majed , Kazi Mohsin , Matin Mohammed Mahbubul
Published: November 2023

The approval of sucrose fatty acid esters (SFAEs) as food additives/preservatives has triggered enormous interest in discovering new applications for these materials. Accordingly, many researchers reported that SFAEs consist of various sugar moieties, and hydrophobic side chains are highly active against certain fungal species. The combination of chain length and site of acylation is crucial in endowing the SFAE with high antimicrobial potency against Aspergillus species. Following several important studies, we herein present the synthesis and an assessment of the effects of acylation site and chain length (i.e., C-6 vs. C-2, C-3, C-4, and long-chain vs. short-chain) on the antimicrobial activity of mannopyranoside fatty acid esters. In vitro tests revealed that the fatty acid chain length in mannopyranoside esters significantly affects the antifungal activity where C12 chains are more potent against Aspergillus species. In terms of acylation site, mannopyranoside esters with a C8 chain substituted at the C-6 position are more active in antifungal inhibition. Molecular docking also revealed that these mannopyranoside esters had comparatively better stable binding energy, and hence better inhibition, with the fungal enzymes lanosterol 14-alpha-demethylase (3LD6), urate oxidase (1R51), and glucoamylase (1KUL) than the standard antifungal drug fluconazole. Additionally, the thermodynamic, orbital, drug-likeness, and safety profiles of these mannopyranoside esters were calculated and discussed, along with the structure-activity relationships (SAR). This study thus highlights the importance of the acylation site and lipid-like fatty acid chain length that govern the antimicrobial activity of mannopyranoside-based SFAE.
Gender-specific Dimensional Shape Analysis of Carpal Bones: Implications for Biomedical Device Design and Therapy Planning
Authors: Asseln Malte , Quack Valentin , Michalik Roman , Rath Björn , Hildebrand Frank , Migliorini Filippo
Published: November 2023

Consideration of the individual bone characteristics of the wrist plays a key role in well-functioning biomedical devices and successful surgical procedures. Although geometric differences and individual bone sizes have been analyzed in the literature, detailed morphologic descriptions and correlations covering the entire wrist reported in a clinical context are lacking. This study aimed to perform a comprehensive and automatic analysis of wrist morphology using the freely available “Open Source Carpal Database” (OSCD). We quantified the dimensions of each of the individual carpal bones and their combination. These dimensions were extracted in n=117 datasets of the wrist of the OSCD in anatomical directions and analyzed using descriptive statics and correlation analysis to investigate morphological characteristics under gender-speciﬁc aspects. We found that there exist statistical differences between genders, and we concluded that gender specificity is an important variable affecting the utilization of biomedical device designs and clinical treatment.
Examining the Moderating Effect of Perceived Risk from Particulate Matter on Outdoor Sports Participants: A Theory of Planned Behavior Perspective
Authors: Kim Do-Hun , Jeong Yunduk
Published: November 2023

(1) Background: This study, drawing from the theoretical framework of the Theory of Planned Behavior (TPB), examines the structural relationship among attitudes, subjective norms, perceived behavioral control (PBC), and behavioral intention. The study focuses on investigating how the perceived risk associated with particulate matter moderates the relationships between 'attitudes and behavioral intention,' 'subjective norms and behavioral intention,' and 'PBC and behavioral intention' within the context of individuals engaged in outdoor sports; (2) Methods: The data were collected from outdoor sports gatherings facilitated through a popular South Korean sports meetup application. Confirmatory factor analysis was employed to establish the construct validity of the measurement scale, assess factor loadings, averaged variance extracted (AVE), and construct reliability (CR). We also ensured the reliability of the measurement scale through Cronbach's α analysis. To achieve our research objectives, we utilized structural equation modeling with maximum likelihood estimation to examine the positive relationships under investigation. Additionally, we performed moderation analysis using the statistical software Jamovi.; (3) Results: The findings demonstrate the significant impacts of attitudes, subjective norms, and PBC on behavioral intention and reveal that perceived risk acts as a moderator, influencing the relationship between PBC and behavioral intention.; (4) Conclusions: Therefore, the government will need to exert substantial efforts to mitigate particulate matter levels.
Effect of Sand and Dust Shading on the Output Characteristics of Solar Photovoltaic Modules in Desertification Areas
Authors: Zhao Mingzhi , Yu Rong , Chang Chun , Bao Daorina , Mei Aohan , Liu Yingjie , Wang Ningbo
Published: November 2023

In the natural environment, sand accumulation and desertification can influence the efficiency of photovoltaic arrays. In this study, PV module output characteristics were examined under different sand particle size, varying sand densities and inclination angles, and at wind speeds of 5m/s, 10m/s, and 15m/s. Both theoretical and experimental results showed that the output power of the module declines with increasing sand density. As the sand particle size increases, the module maximum output power rises and then stabilizes. The two control variables, namely sand density and sand particle size, influence the module temperature and light transmittance distinctly. Contrary to the impact of sand density on the module filling factor curve, the module filling factor exhibits varying trends under different sand particle sizes. Additionally, the pattern of the module filling factor as a function of sand density contrasts with that of the module temperature under analogous conditions. Specifically, when the sand density on the PV module surface increases from 0 to 40g/m², there is a 32.2% reduction in maximum output power. At a wind speed of 15m/s, this reduction was found consistent across all wind speed categories. Furthermore, the trend of the module filling factor rel-ative to sand accumulation density contrasts with the module temperature trend under analogous conditions. Notably, the filling factor reached its apex at a sand accumulation density of 35g/m², which corresponded to the module temperature's nadir during the experiment.
High Mobility Group Box-1 as a Candidate Biomarker of Portal Vein Thrombosis in Patients with Hepatocellular Carcinoma
Authors: Perazzi Mattia , Piffero Roberto , Minisini Rosalba , Gaia Silvia , Rolle Emanuela , Caviglia Gian Paolo , Burlone Michela Emma , Manfredi Giulia Francesca , Tonello Stelvio , Bellan Mattia , Carucci Patrizia , Pirisi Mario
Published: November 2023

Background High Mobility Group Box-1 (HMGB-1) is implicated in the pathogenesis of thrombosis and cancer. In the present study, we aimed to evaluate its potential role as a diagnostic biomarker of portal vein thrombosis (PVT) among patients with hepatocellular carcinoma (HCC). Methods The study population included N=100 prospectively recruited patients with a novel diagnosis of HCC. We compared circulating HMGB-1 levels between 34 healthy controls, HCC patients with PVT (N=22), and HCC patients without PVT (N=78). Results HCC patients without PVT showed significantly higher median HMGB-1 serum levels (8.2 [5.5-13.1] ng/ml) than those observed in the case of HCC with PVT (5.5 [4.4-8.5] ng/ml; p=0.012) and in healthy controls (4.1 [3.1-8.2] ng/ml; p<0.001). Among HCC patients, at univariate analysis, the presence of PVT was associated with higher median age (p=0.036), larger major cancer node diameter (p<0.001), and lower HMGB-1 serum level (p=0.012). At multivariate analysis, the presence of PVT maintained a positive association with major node diameter p=0.001) and an inverse association with serum HMGB-1 levels (p=0.003). Conclusions These findings indicate that serum HMGB-1 bears an inverse association with PVT complicating HCC at the time of diagnosis and suggest that serum HMGB-1 depletion may mark PVT development in cirrhotic patients with HCC.
Encapsulation of the Phage Lytic Protein CHAPSH3b in Non-ionic Surfactant-Based Vesicles
Authors: Marchianò Verdiana , Duarte Ana Catarina Leal , Agun Seila , Luque Susana , Marcet Ismael , Fernandez Lucia , Matos Maria , Blanco Maria Carmen , Garcia Pilar , Gutierrez Gemma
Published: November 2023

Antimicrobial resistance (AMR) has become a worldwide health problem. Consequently, there is a global interest in the study of the antimicrobial activity of natural compounds as an alternative to antibiotics. One of the possibilities studied during the last years is the use of bacteriophages and their derived proteins. More specifically, phage lytic proteins or endolysins are specific enzymes that cause cell lysis and can be easily produced and purified after overexpression in bacteria. However, one of the major disadvantages of these proteins is their sensitivity to some environmental conditions that can reduce their efficiency. The use of vesicles for endolysin encapsulation could help overcome this disadvantage, offering an additional protection to the protein and allowing its controlled release and long-term stability.
A Thermodynamic Pressure Demagnetization
Authors: Xiao S. F. , Zhao H. , Wei Y. X. , Tan J. Z. , Liu Q. H.
Published: November 2023

For paramagnetic and elastic materials in the presence of quasi-static magnetic field, there is correspondingly quasi-static magnetic pressure, in contrast to the radiational electromagnetic pressure associated with electromagnetic momentum density. A thermodynamic pressure demagnetization is demonstrated. For the elastic dielectrics in the presence of quasi-static electrical field, its dual effect can be easily obtained by variable transformation.
Name Disambiguation Scheme Based on Heterogeneous Academic Sites
Authors: Choi Dojin , Jang Junhyeok , Song Sangho , Lee Hyeonbyeong , Lim HyeonbyeongJongtae , Bok Kyoungsoo , Yoo Jaesoo
Published: November 2023

Academic researchers publish their work in various formats, such as papers, patents, and research reports, on different academic sites. When searching for a particular researcher's work, it can be challenging to pinpoint the right individual, especially when there are multiple researchers with the same name. In order to handle this issue, we propose a name disambiguation scheme of researchers with the same name based on heterogeneous academic sites. The proposed scheme collects and integrates research results from these varied academic sites, focusing on attributes crucial for disambiguation. It then employs clustering techniques to identify individuals who share the same name. Additionally, the proposed rule-based algorithm name disambiguation method and the existing deep learning-based identification method. This approach allows for the selection of the most accurate disambiguation scheme, taking into account the metadata available in the academic sites, using a multiclass classification approach. To demonstrate the effectiveness of the proposed method, we conduct various performance evaluations, measuring accuracy, recall, and the F1-measure, highlighting the scheme's superior performance in the name disambiguation.
Rate of Force Development From Submaximal to Maximal Plantar Flexor Force in Older Adults With Sarcopenic Obesity: A Cross-Sectional Study
Authors: Ferhi Hamza , Magtouf Elmoetaz , Attia Ahmed , Durand Sylvain , Boyas Sébastien , Beaune Bruno , Chortane Sabri Gaied , Maktouf Wael
Published: November 2023

Background: The rate of force development (RFD) plays a pivotal role not only in preventing falls but also in ensuring successful completion of many functional tasks that demand swift muscle power rather than prolonged strength. Despite its importance, there is limited compre-hensive research on the relationship between RFD and walking speed, especially in older adults with Sarcopenic Obesity (SO). Objective: to investigate the influence of obesity on neuromuscular markers in older adults with SO and to assess the relationship between neuromuscular markers and gait speed in older adults with SO. Methods: a cohort of 42 participants was categorized based on their BMI into two groups: the sarcopenic non-obese group (CG, n=22; age=81.13±4.02; BMI=25.13±3.35) and the sarcopenic obese group (SOG, n=20; age=77.71±2.95; BMI=34.46±3.25). Gait speed was measured using a 10-meter test. Additionally, the isometric strength of the plantar flexor muscles was assessed during maximal voluntary contractions. Absolute Peak force (aPeak, N) were documented at intervals of 50 ms (a50, N), 100 ms (a100, N), and 200 ms (a200, N), subsequently normalized to body mass (r50, r100, r200, N). The RFD was derived in two phases: from the start of the contraction to 50 ms (RFD50-100) and from 100 to 200 ms (RFD100-200) and calculated from the linear slop of the force – time curve (Δ force/Δ time). Conclusion: Obesity negatively impacts neuromuscular markers in older adults. Notably, RFD emerges as the dominant factor influencing gait speed, accounting for an impressive 51% of its variability, far surpassing the impact of relative peak force. This underscores the imperative of evaluating neuromuscular health in older adults with SO to provide insights into mobility out-comes.
Caenorhabditis elegans Models Count
Authors: Chen Lili , Zhang Shumei , Liu Sai , Gao Shangbang
Published: November 2023

Amyotrophic Lateral Sclerosis (ALS) stands as a debilitating neurodegenerative condition characterized by the progressive degeneration of motor neurons. Despite extensive research in various model animals, the cellular signal mechanisms of ALS remain elusive, impeding the development of efficacious treatments. Among these models, a well-characterized and diminutive organism, Caenorhabditis elegans (C. elegans), has arisen as a potent tool for investigating the molecular and cellular dimensions of ALS pathogenesis. This review summarizes the contributions of C. elegans models to our comprehension of ALS, emphasizing pivotal findings pertaining to genetics, protein aggregation, cellular pathways, and potential therapeutic strategies. We analyze both the merits and constraints of C. elegans system in the realm of ALS research, and point towards future investigations that could bridge the chasm between C. elegans foundational discoveries and clinical applications.
Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems
Authors: Hosoda Kazufumi , Seno Shigeto , Kamiura Rikuto , Murakami Naomi , Kondoh Michio
Published: November 2023

The increase in ecosystem biodiversity can be perceived as one of the universal processes converting energy into information across a wide range of living systems. This study delves into the dynamics of living systems, highlighting the distinction between ex-post adaptation, typically associated with natural selection, and its proactive counterpart, ex-ante adaptability. Through coalescence experiments using synthetic ecosystems, we (i) quantified an ecosystem stability, (ii) identified correlations between species richness and the stability, (iii) proposed a mechanism for increasing biodiversity through moderate inter-ecosystem interactions, and (iv) inferred that the information carrier of ecosystems is species composition, or merged genomic information. Additionally, we observed that (v) changes in ecosystems are constrained to a low-dimensional state space, with three distinct alteration trajectories—fluctuations, rapid environmental responses, and long-term changes—converging into this state space in common. These findings suggest that daily fluctuations may predict broader ecosystem changes. Our experimental insights, coupled with an exploration of living systems' information dynamics from an ecosystem perspective, enhance our predictive capabilities for natural ecosystem behavior, providing a universal framework for understanding a broad spectrum of living systems.
Research on Specific Scenario Generation Methods for Autonomous Driving Simulation Tests
Authors: Li Ning , Chen Lingshan , Huang Yongchao
Published: November 2023

In this paper, we propose a method for the generation of simulation test scenarios for autonomous driving. Based on the requirements of standard regulatory test scenarios, we can generate virtual simulation scenarios and functional scenario libraries for autonomous driving, which can be used for simulation verification of different ADAS functions. Firstly, the design operation domain (ODD) of the functional scenario is selected and the weight values of the ODD elements taken are calculated; then a combination test algorithm based on parameter weights is improved to generate autonomous driving virtual simulation test cases for the ODD elements, which can effectively reduce the number of generated test cases compared with the traditional combination test algorithm; then the traffic participant elements under each test case are Then, the values of the subelements under the traffic participant element in each test case are sampled and clustered to obtain hazard specific scenarios. Finally, the specific scenarios are applied to the automatic emergency braking (AEB) system on the model-in-the-loop (MIL) testbed to verify the effectiveness of this scenario generation method.