bluuebunny/crossref_metadata_2025 huggingface dataset:
Local and Global Public Health Consequences of Emissions from Concentrated Animal Feeding Operations in the US: A Scoping Review
Authors: Pohl Elise , Lee Sang Ryong
Published: June 2024

More than 400 million tons of livestock waste are generated annually by approximately 25,000 concentrated animal feeding operations (CAFOs) located in the United States (US). These operations give rise to externalities, including adverse local and global health impacts from CAFO waste emissions, which can potentially outweigh their economic viability. However, a shortage of evidence synthesis research on US-based CAFO emissions may hinder effective policy development. This scoping review (ScR) study, conducted following guidance from the Joanna Briggs Institute, searched databases including Scopus, Web of Science, PubMed and Embase in May 2020, yielding ten publications meeting inclusion criteria. Results suggest possible CAFO worker exposures to multidrug-resistant Staphylococcus aureus (MDRSA), campylobacteriosis and cryptosporidiosis. Communities near CAFOs experienced higher rates of adverse health impacts compared to those in non-CAFO areas, with patterns suggesting proximity may correlate with increased odds of detrimental health effects. Implicit global health threats include Methicillin-resistant Staphylococcus aureus  (MRSA), MDRSA, campylobacteriosis, tuberculosis, and cryptosporidiosis. These studies provide foundational insights into CAFO proximity, density patterns, and adverse public health effects, indicating a need for evidence-informed environmental health policies to minimize local and global risks.
Integrating a Machine Learning-Driven Fraud Detection System Based on a Risk Management Framework
Authors: Guo Lingfeng , Song Runze , Wu Jiang , Xu Zeqiu , Zhao Fanyi
Published: June 2024

This article explores the application of machine learning techniques, specifically focusing on ensemble methods like Random Forests, for detecting fraudulent activities in digital financial transactions. Highlighting the evolution from traditional statistical approaches to modern machine learning models, it underscores the effectiveness of Random Forests in handling the inherent challenges of imbalanced datasets typical in fraud detection scenarios. Using a Kaggle dataset of credit card transactions, the study optimizes Random Forest parameters through rigorous parameter tuning, achieving significant improvements in model performance metrics such as Area Under the Curve (AUC). The findings underscore the critical role of machine learning in enhancing fraud detection capabilities, emphasizing the ongoing evolution and future potential of these methodologies in financial risk management.
Revisiting and Rethinking on Staging (Severity and Complexity) Periodontitis from the New Classification System: A Critical Review with Suggestions for Adjustments and a Proposal of a New Flowchart
Authors: Fernandes Gustavo Vicentis Oliveira , Fernandes Juliana Campos Hasse
Published: June 2024

This critical review revisited the new classification system for periodontitis, specifically for staging, suggesting modifications, and introducing a new flowchart for a better clinical evaluation. It evaluated articles published between 2018 and 2024 in the English language, which had an educational motivation focused on staging periodontitis. PubMed/MEDLINE, Web of Science, and Embase databases were used to retrieve the articles. The focus questions involved the analysis of all parameters for staging periodontitis. A total of 836 articles were initially found; 388 duplicated were excluded; 448 were evaluated by title and abstract; 26 articles followed for full-text reading, and 6 articles were included in this critical review (k=0.98). All articles included detailed parameters and steps about how to diagnose periodontitis. Therefore, it was possible to observe instability and “gray zones” in the staging step, which was due to a lack of priority and an organized order sequence. This review suggests the severity parameters cannot be overcome by complexity parameters, following a cumulative sequence: CAL (1st), RBL (2nd), TLP (3rd), and, after, complexity parameters. An exception must be permitted only for complexity factors between Stages III and IV that can change the initial Stage (III or IV) obtained through the severity analysis, but only between themselves. Moreover, for patients without tooth loss or with TLP of ≤4 teeth (without need for complex rehabilitation) and presenting any type of drifting or flaring or a secondary traumatic occlusion, it cannot be a justification for moving the diagnosis from Stage III to Stage IV.
Balancing the Energy Efficiency Benefits of Glazed Surfaces. Case Study
Authors: Isopescu Dorina-Nicolina , Galatanu Catalin-Daniel , Ungureanu Alexandra , Maxineasa Sebastian-George , Vizitiu-Baciu Ioana-Roxana , Nistorac Andreea , Moga Ligia
Published: June 2024

Daylighting design is not only a stage of dimensioning glazed surfaces to provide sufficient natural light to an occupied space, but also a method of analysing how this matter can be achieved without unwanted effects, such as: gains and losses of heat, glare, and variations of the daylighting intensity, at various indoor distances and levels. According to the international regulations in force, glazed surfaces must be designed with a careful balance between the admission of natural light and thermal performance, such as heat loss in winter and heat gain in summer. In a novel project, it is essential to determine the optimal ratio of window-to-wall surface area. This necessity arises because the materials constituting the glazed surfaces of windows typically exhibit lower insulation properties compared to those of the building's walls. This methodology could be applied to building renovations when envelope modifications are possible and suitable. The case study presented in the paper highlights the energy consumed due to a group of windows with a large glazed area in an existing building, located in a temperate continental climate area. The energy consumption results from supplementary artificial lighting required to maintain adequate illumination for indoor activities and that to counterbalance heat loss during colder periods are evaluated. The analysis performed by modifying the glazed surface led to the identification of an optimum value of windows dimensions for an energy consumed minimum.
Sex Differences in Human Brain Networks from the Perspective of Small-World Properties
Authors: Zhou Yingying , Long Yicheng
Published: June 2024

Based on non-invasive neuroimaging techniques and graph theory-based network analyses, many researchers have tried to use small-world network model to elucidate sex differences in the brain. This manuscript aims to compile the related research findings from the past few years and summarize the sex differences in human brain networks from the perspective of small-world properties. We reviewed published reports examining altered small-world properties in both the functional and structural brain networks between males and females. Based on four patterns of altered small-world properties proposed--randomization, regularization, stronger small-worldization and weaker small-worldization, we found that current results point to a significant trend toward more regularization in females and more randomization in males in the functional brain networks. As for particular topological properties, the most consistent findings include a significant shift toward higher global efficiency in males and higher local efficiency in females in the functional network studies. On the other hand, there seems to be no consensus to date on the sex differences in small-world properties of the structural brain networks. Nevertheless, we noticed that the sample sizes in many published studies are limited, and future studies with larger samples are warranted to obtain more reliable results. We anticipate that the conclusions in this manuscript will contribute to a deeper understanding of neurobiological mechanisms underlying the sex differences in the brain.
Solar Irradiance Prediction Method for PV Power Supply System of Mobile Sprinkler Machine using WAO-XGBoost Model
Authors: Li Dan , Qu Jiwei , Zhu Delan , Qin Zheyu , Zhang Qiansu
Published: June 2024

The solar energy can mitigate the power supply shortage in remote regions for portable irrigation systems. The accurate prediction of solar irradiance is crucial for determining the quantity of solar panels and the power capacity of photovoltaic power generation (PVPG) systems for mobile sprinkler machines. In this study, a prediction method is proposed to forecast the solar irradiance of typical irrigation areas. The impact of the meteorological parameters on the solar irradiance is studied, and four different parameter combinations are formed and considered as input to the prediction model. Based on meteorological data provided by ten typical radiation stations uniformly distributed nationwide, an Extreme Gradient Boosting (XGBoost) model optimized using the Whale Optimization Algorithm (WOA) is developed to predict the solar radiation. The prediction accuracy and stability of the proposed method are then evaluated for different input parameters through training and testing. The differences between the prediction performances of models trained based on single-station data and mixed data from multiple stations are also compared. The obtained results show that the proposed model achieves the highest prediction accuracy when the maximum temperature, minimum temperature, sunshine hours ratio, relative humidity, wind speed, and extraterrestrial radiation are used as the input parameters. The prediction effectiveness is also verified based on measured data. The WOA-XGBoost model has higher prediction accuracy than the XGBoost model, with predicted values falling within acceptable ranges. The model developed using mixed data of multiple stations can be applied for forecasting solar irradiance in different regions. This study provides a foundation for the optimization of the configuration of PVPG systems for mobile sprinkler machines.
Role of MiR-204 in the Hallmarks of Breast Cancer: An Update
Authors: Bermúdez Mercedes , Martínez-Barajas Marcela Guadalupe , Bueno-Urquiza Lesly Jazmín , López-Gutiérrez Jorge Armando , Villegas-Mercado Carlos Esteban , López-Camarillo César
Published: June 2024

MiR-204 is a small noncoding RNA with diverse regulatory roles in breast cancer (BC) development and progression. miR-204 is implicated in the instauration of fundamental traits acquired during the multistep development of BC known as hallmarks of cancer. It may act as a potent tumor suppressor by inhibiting key cellular processes like angiogenesis, vasculogenic mimicry, invasion, migration, and metastasis. It achieves this by targeting multiple master genes involved in these processes, including HIF-1α, β-catenin, VEGFA, FAK, FOXA1, among others. Additionally, miR-204 modulates signaling pathways like PI3K/AKT and interacts with HOTAIR and DSCAM-AS1 lncRNAs, further influencing tumor progression. Beyond its direct effects on tumor cells, miR-204 shapes the tumor microenvironment by regulating immune cell infiltration, suppressing pro-tumorigenic cytokine production, and potentially influencing immunotherapy response. Moreover, miR-204 plays a crucial role in metabolic reprogramming by directly suppressing metabolic genes within tumor cells, indirectly affecting metabolism through exosome signaling, and remodeling metabolic flux within the tumor microenvironment. This review aims to present an update on the current knowledge regarding the role of miR-204 in the hallmarks of BC. In conclusion, miR-204 is a potential therapeutic target and prognostic marker in BC, emphasizing the need for further research to fully elucidate its complex roles in orchestrating aggressive BC behavior.
Virtual Reality Usefulness on Symptom Management during Chemotherapy in Lung Cancer Patients: A Quasi-experimental Study
Authors: Mitello Lucia , Marti Flavio , Mauro Lucia , Siano Ludovica , Pucci Antonello , Tarantino Concetta , Rocco Gennaro , Stievano Alessandro , Iacorossi Laura , Anastasi Giuliano , Ferrara Rosaria , Marucci Anna Rita , Varrassi Giustino , Giannarelli Diana , Latina Roberto
Published: June 2024

ABSTRACT: Background: Virtual Reality (VR) emerges as a promising non-pharmacological intervention for managing symptoms and providing distraction during chemotherapy. This study aims to assess VR's effectiveness on cancer-related symptoms, vital signs, and patients' perception of the chemotherapy in lung cancer patients. Methods: A quasi-experimental study was conducted on 100 patients. Participants were allocated into an intervention group (n = 55), which experienced immersive VR, and a comparison group (n = 45), which received usual care. Data were collected through questionnaires and checklists, including feedback on the VR experience, pain, vital signs, and common cancer symptoms, assessed through the Edmonton Symptom Assessment Scale. Results: VR had a significant impact on reducing the perception of the chemotherapy length. Patients reported high levels of satisfaction and tolerability. No adverse events were observed. VR did not have significant influence on pain intensity and vital signs. The only exceptions were oxygen saturation, where a significant difference (p = 0.02) was reported, and perception of chemotherapy duration. Conclusions: As a non-pharmacological intervention, VR proves beneficial in minimizing the perceived length of chemotherapy session for lung cancer patients, enhancing their overall treatment experience. The intervention showed to be a safe, feasible, and well-accepted distraction technique. Future research should explore VR's potential effects on a wider range of symptoms and evaluate its impact on long-term outcomes.
Biomechanical Insights and Strategic Applications in Ancient Combat Sports: Optimizing Stability, Power and Tactical Advantage
Authors: Bourantanis Andreas , Nomikos Nikitas , Wang Weijie
Published: June 2024

Background: Though ancient Greece preserves many pictures of combat sports, there is research in terms of biomechanics on the principles of human motion. This research aimed to investigate Pankration postures of ancient Greek athletics, expecting to bridge the gap between historical sports practices and contemporary biomechanical applications. Methods: This study employed computational tools to analyze two images from ancient Greek Pankration, constructing a static multi-segmental model. Anthropometric models simulated postures analogous to those in historical depictions. Analysis estimated joint forces and moments, along with weight distribution and ground reaction forces for these postures. Implications for training and strength development were deduced through integration with modern scientific insights. Moreover, strategic elements of these postures were assessed using game theory to explore their correspondence with contemporary theoretical constructs. Results: The findings indicated that static postures facilitate the development of tendon stiffness, joint stability, and neuromuscular control. In the "readiness" posture, 68% of the athlete's centre of gravity (CoG) was distributed to the hind leg, enhancing stability and power generation, while the front leg promoted agility. Analysis of the kick posture revealed delivery with a dorsiflexed ankle and pronounced heel protrusion.Conclusion: The application of the proposed model suggests that ancient athletes optimized their performance using biomechanical principles, thereby gaining a competitive advantage. This study highlights the value of integrating ancient biomechanical strategies with contemporary athletic training and injury prevention, advocating for a synthesis of historical practices and modern biomechanical analysis in combat sports.
Phylogenomic Analyses of Three Distinct Lineages Uniting Staphylococcus cohnii and Staphylococcus Urealyticus from Diverse Hosts
Authors: House Louisa Caroline , Hasan Amer , Asnayanti Andi , Alrubaye Adnan , Pummill Jeff F , Rhoads Douglas Duane
Published: June 2024

We sequenced and assembled genomes for 17 isolates of Staphylococcus cohnii isolated from osteomyelitis lesions in young broilers from two separate experiments where we induced lameness using a hybrid wire-litter flooring system. Whole genome comparisons using three different methods support a close relationship of genomes from both S. cohnii and Staphylococcus urealyticus. The data support three different lineages, we designated Lineage 1, Lineage 2 and Lineage 3, uniting these two species within an evolving complex. We present evidence for horizontal transfer between lineages of genomic regions from 50-440 kbp. The transfer of a 186 kbp region from Lineage 1 to Lineage 2 appears to have generated Lineage 3. Human-associated isolates appear to be limited to Lineages 2 and 3 but Lineage 2 appears to contain a higher number of human pathogenic isolates. The chicken isolates from our lameness trials included genomically diverse isolates from both Lineage 1 and 2, and isolates from both lineages were obtained from osteomyelitis lesions of individual birds. Our results expand the diversity of Staphylococci associated with osteomyelitis in poultry and suggest a high diversity in the microbiome of day-old chicks. Our data also support a reevaluation and unification of the taxonomic classifications of S. cohnii and S. urealyticus.
Synthesis and Characterization of Carbonaceous Materials for Medical Applications: A comprehensive Review
Authors: Nnadozie Ebenezer Chukwunonyelu , Ogunwa Kennedy Izuchukwu , Chukwuike Vitalis Ikenna , Nnadozie Onyinyechukwu Olamide , Ehikhase Charles
Published: June 2024

Carbonaceous materials have gained significant attention in recent years for their various applications in the field of medicine and biotechnology. This comprehensive review explores the synthesis and characterization of carbon-based materials and their potentials in various medical applications. The paper delves into the methods of fabrication of carbon-based nanoparticles, such as carbon nanotubes, biochar, and graphene, while highlighting their unique properties. Characterization techniques, such as microscopy, spectroscopy, and surface analysis, are discussed to provide insights into the chemical and structural properties of these materials. Furthermore, the review examined their wide-ranging medical applications, encompassing tissue engineering, drug delivery, biosensing, and imaging, showcasing the versatility and promising contributions of carbonaceous materials in the healthcare industry. The review outlines the current challenges and prospects in the field, emphasizing the growing significance of carbon-based materials as valuable tools in advancing medical science and technology, as well as public health.
Robotic Seeding of Large Porous Scaffolds
Authors: Gome Gilad , Waksberg Julian , Shoseyov Oded
Published: June 2024

This study introduces an innovative seeding method for cells on large scaffolds (1-100 sqcm) with an accuracy of 0.1mm, comparing the conventional drop-wise seeding technique with an automated seeding approach using an open sourced robotic liquid handling system (OpenLH). This automated system employs an algorithm in which the user inputs the desired droplet volume and seeding pattern dimensions such in number of rows, columns and distance between droplets, thus optimizing the distribution of cells on the scaffold. By adjusting these parameters, the method achieves greater accuracy and consistency over manual seeding and requires less operation space volume than dynamic seeding. Additionally, the system’s tip replacement feature can support the precise seeding of multiple cell types on a single scaffold and the dispensing of growth factors to foster patterns of cell differentiation and proliferation on the large 3D scaffold. This seeding method not only enhances the precision and efficiency of cell distribution on scaffolds but also shows significant potential for scalability in the cultured meat industry, where large scaffolds are essential. The adoption of such automated systems could promote efficient scaffold-based tissue engineering by promoting uniform cell distribution and enabling the creation of complex tissue constructs, thereby advancing both biomedical research and cultured meat production.
Advanced Information on Multiple-Granulation Approximation Spaces
Authors: El-Sanowsy E. , Abdallah A.A. , Sayed O. R. , Sayed Y. H. Ragheb , Salahuddin .
Published: June 2024

To define the optimistic multiple-granulation (OMG) supra interior operator and the OMG-supra closure operator associated with a set A in a multiple-granulation approximation space, we used the concepts of the OMG-lower set OL (A) and the OMG-upper set OU (A). These operators create an approximate topological space known as optimistic multiple-granulation supratopological spaces. OMG-supra-open and OMG-supra-closed approximation sets are also defined, followed by OMG-supra-continuous approximation and OMG-irresolute approximation.
Securitising Infrastructure Sustainability: A Case Study on Implementing Resilience Bonds in a China Supply Chain
Authors: Song Yang , Medda Francesca
Published: June 2024

In response to the escalating climate-related catastrophes of recent decades and their significant impacts on global transportation systems, this study explores the concept of resilience bonds as a novel financial tool for enhancing supply chain sustainability. The research applies a case study from China to demonstrate the application of resilience bonds in funding infrastructure projects that aim to enhance the sustainability and resilience of supply chain networks. The study examines the market mechanisms and valuation models of resilience bonds, assessing their potential to mitigate risks associated with transportation failures and to reduce economic losses from unexpected disruptions. By applying empirical data, the research quantitatively evaluates the impact of resilience bonds on the sustainability and reliability of transportation systems. The findings show that resilience bonds can significantly contribute as a sustainable solution to enhance supply chain resilience and sustainability, offering insightful alternatives for financing resilient infrastructure projects. This study not only supports policymakers, investors, and business leaders in understanding innovative funding mechanisms but also makes a significant contribution to resilience financing for sustainable transportation within supply chains, especially in the context of global disruptions.
Assessment of University Students' behavioral Intentions to Use ChatGPT：A Comprehensive Application Based on the Innovation Diffusion Theory and the Technology Acceptance Model
Authors: Li Chunjiang , Yang Junling , Zhang Hao , Tian Lei , Guo Jinliu , Yu Ganyu
Published: June 2024

The application of OpenAI's advanced artificial intelligence language model, ChatGPT, in education has garnered widespread attention from the academic community. The openness and intelligence features of ChatGPT demonstrate great potential and value in supporting students' learning, daily life, and communication. This study, grounded in the theoretical frameworks of Innovation Diffusion Theory (IDT) and the Technology Acceptance Model (TAM), conducted a systematic empirical analysis through a questionnaire survey of 677 university students who had used or were currently using ChatGPT. The results indicate that the six perceived attributes of innovation significantly influence university students' behavioral intention to use ChatGPT, while attitudes towards ChatGPT, perceived usefulness, and perceived ease of use indirectly influence students' behavioral intention to continue using ChatGPT. Based on the findings of this study, we propose an extended Technology Acceptance Model (TAM) that incorporates key elements of Innovation Diffusion Theory (IDT) to optimize the application of advanced technologies, such as ChatGPT, in education, thereby improving students' learning efficiency and behavioral performance. These findings not only provide important insights into the complex relationships between college students’ perceptions of ChatdGPT technology and predictors of behavioral intentions, but can also help relevant education departments, higher education institutions, and university teachers to effectively plan and evaluate the use of ChatGPT as a learning tool.
Microalgal Diversity and Molecular Ecology: A Comparative Study of Classical and Metagenomic Approaches in Ponds of the Eifel National Park, Germany
Authors: Linne von Berg Karl-Heinz , Keilholz Leonie Agnes , Küchenmeister Nadine , Pushkareva Ekaterina , Becker Burkhard
Published: June 2024

While molecular methods have begun to transform ecology, most algal biodiversity is still studied using the classical approach of identifying microalgae by light microscopy directly in sample material or using cultures. In this study, we compare both approaches (light microscopy and metagenomics as a molecular approach) using freshwater ponds of the Eifel National Park in Germany as a case study. The ponds were found to be rich in desmids by light microscopy. A total of 299 species representing 81 genera were identified by light microscopy. While the molecular method does not currently allow species identification in most cases, we were able to identify 207 different algal genera. 157 genera were detected only by metagenomics, 50 genera with both methods and 31 genera were found by light microscopy, highlighting the need to continue using light microscopy in addition to a molecular approach. The metagenomics method has several advantages over the light microscopy method: 1) deeper assessment of alpha biodiversity 2) better abundance numbers 3) complete coverage of all living matter. The latter is also a significant improvement over metabarcoding, as universal PCR primers are not available.
Modeling of renewable energy resources in global energy management systems
Authors: Kashanian Motahareh , Shah Abadi Ghazal , Kanwar Rameshwar S
Published: June 2024

The International Renewable Energy Agency (IRENA) was established in 2009 and in 2024, its membership increased to 168 members plus the European Union countries. The purpose of IRENA is to promote the adoption of renewable energy across all industries in the world. Despite the utilization of renewable energy in sectors like power generation and construction, its application in other industries remains limited. Therefore, a literature review study was conducted to investigate the cost and other spatial constraints associated with renewable energy resources, including modeling and optimization techniques that could offer viable solutions to the future challenges faced by the renewable energy production systems. This paper has summarized the result of this study with a focus on the significance of modeling and optimization techniques in energy conservation to highlight the untapped potential for leveraging renewable energy resources in industrial applications. This paper also examined a few case studies from various regions of the world, demonstrating the promising opportunities for research in the modeling and optimization of renewable energy management systems.
Blood Flow Restriction Exercise as a Novel Conservative Standard in Patients with Knee Osteoarthritis – A Narrative Review
Authors: Jacobs Ewoud , Witvrouw Erik , Calders Patrick , Stroobant Lenka , Victor Jan , Schuermans Joke , Wezenbeek Evi
Published: June 2024

Knee osteoarthritis is a prevalent joint disease affecting millions of individuals globally. While total knee arthroplasty is an effective treatment for advanced stages of KOA, it may not be suitable for earlier stages or younger patients. Supervised exercise therapy has proven to be the first line treatment of preference in tackling pain and disability caused by KOA. However, the high intensities required to induce positive muscle adaptations are not indicated in this population as this is often accompanied by pain, discomfort, and frustration; leaving low load resistance training as the only feasible method of treatment.
Recently, the use of blood flow restriction training began to emerge as a substitute for high load resistance training. With BFRT, a cuff is applied around the proximal aspect of the affected limb, causing partial arterial and full venous occlusion, thereby inducing localized hypoxia and accumulation of metabolites, mimicking the effects of high load resistance training, albeit with low loads. Consequently, BFRT might offer a suitable and more effective alternative for KOA patients who are not (yet) eligible for TKA, compared to the traditional exercise therapy.
This review aims to summarize the current evidence as regards the application of Blood Flow Restriction in exercise therapy of knee osteoarthritis patients, with particular consideration of the underlying mechanisms and its safety, as well as general guidelines for practical implementation into clinical practice. In doing so, this narrative review aims to create a framework allowing the translation from theory to practice.
Coercivity of (Fe0.7Co0.3)2B Nanowire and Its Bonded Magnet
Authors: Liu Xubo , Nlebedim Ikenna C
Published: June 2024

Potential permanent magnet (Fe0.7Co0.3)2B has large saturation magnetization and high Curie temperature but a moderate magnetocrystalline anisotropy (MCA) and displays relatively low coercivity. One way to improve coercivity is to combine the contribution from magnetocrystalline- and magnetic shape anisotropy by preparing (Fe0.7Co0.3)2B nanowires. We study the effect of size, morphology, and surface defect on the hard magnetic properties of nanowires using micromagnetic simulation. The hard magnetic properties of (Fe0.7Co0.3)2B nanowire bonded magnet have been estimated, including the role of inter-wire magnetostatic interaction. By considering the existence of local reduction of MCA energy up to 30% on the surface layer of nanowires, the anisotropic bonded magnet with 65% vol. of (Fe0.7Co0.3)2B nanowires displays typical magnetic properties of remanence Br=8.4 kG, coercivity Hci=9.9 kOe, and maximum energy product (BH)m=17.8 MGOe. Developing effective technology for synthesizing nanowires and fabricating corresponding bonded magnets is promising for manufacturing practical magnets based on magnetic phase with relatively low or moderate MCA, such as (Fe0.7Co0.3)2B.
Ammonia Emissions and Building-Related Mitigation Strategies in Dairy Barns: A Review
Authors: Vitaliano Serena , D'Urso Provvidenza Rita , Arcidiacono Claudia , Cascone Giovanni
Published: June 2024

In this systematic review, the PRISMA method was applied to examine publications from the last two decades that have investigated the noxious gaseous emissions from dairy barns. The aim was to analyse the outcomes from literature studies estimating the quantities of polluting gases produced in dairy barns, with specific focus on ammonia (NH3) emissions. The review also explores proposed methods to reduce the associated effects through mitigation strategies. Estimation of NH3 emissions is significantly influenced by the complex interactions among several factors, including animal management practices, such as controlling animal behavioral activities; manure management, like utilising practices for floor manure removal; the type of structure housing the animals, whether it is naturally or mechanically ventilated; and environmental conditions, such as the effects of temperature, wind speed, relative humidity, and ventilation rate on NH3 release in the barn. These influential components have been considered by researchers, identifying targeted mitigation strategies. Despite growing attention to the issue, gaps in the scientific literature were identified and discussed, particularly regarding the analysis of mitigation strategies and their long-term impacts (i.e., environmental, economic and productivity-wise).
Neural Dynamics of Processing Inflectional Morphology: An fMRI Study on Korean Inflected Verbs
Authors: Kim Joonwoo , Kim Sangyub , Nam Kichun
Published: June 2024

The present study aimed to elucidate the neural mechanisms underpinning the visual recognition of morphologically complex verbs in Korean, a morphologically rich, agglutinative language with inherent polymorphemic characteristics. In an fMRI experiment with a lexical decision paradigm, we investigated whether verb inflection types (base, regular, and irregular) are processed through separate mechanisms or a single system. Furthermore, we explored the semantic influence in processing inflectional morphology by manipulating semantic ambiguity (homonymous vs. unambiguous) of inflected verbs. The results showed equivalent activation levels in the left inferior frontal gyrus for both regular and irregular verbs, challenging the dichotomy. Graded effects of verb regularity were observed in the occipitotemporal regions, with regular inflections eliciting increased activation in the fusiform and lingual gyri. In the middle occipital gyrus, homonyms showed decreased activation relative to unambiguous words, specifically for base and irregular forms. Furthermore, the angular gyrus exhibited significant modulation by all verb types, indicating a semantic influence during morphological processing. These findings support single-system theories and the connectionist framework, challenging the assumptions of purely orthographic morphological decomposition and dual-mechanism accounts. Furthermore, they provided evidence for a semantic influence during morphological processing, with differential reliance on semantic activation for regular and irregular inflections.
An Integrated Photonic Biosensing Platform for Pathogen Detection in Aquaculture
Authors: Knoben Wout , Graf Siegfried , Borutta Florian , Tegegne Zerihun , Ningler Michael , Blom Arthur , Dam Henk , Evers Kevin , Schonenberg Rens , Schütz-Trilling Anke Kristin , Veerbeek Janneke , Arnet Roman , Fretz Mark , Revol Vincent , Valentin Thomas , Bridges Christopher Robert , Schulz Stephan Klaus , van Kerkhof Joost , Leenstra Anne , Orujov Farid , van Middendorp Henk
Published: June 2024

Aquaculture is expected to play a vital role in solving the challenge of sustainably providing the growing world population with healthy and nutritious food. Pathogen outbreaks are a major risk for the sector, so early detection and a timely response are crucial. This can be enabled by monitoring of pathogen levels in aquaculture facilities. This paper describes a photonic biosensing platform based on silicon nitride waveguide technology with integrated active components, which could be used for such applications. Compared to the state of the art, the current system presents improvements in terms of miniaturization of the Photonic Integrated Circuit (PIC), and the development of wafer level processes for hybrid integration of active components and for material-selective chemical and biological surface modification. Furthermore, scalable processes for integrating the PIC in a microfluidic cartridge have been developed, as well as a prototype desktop readout instrument. Three bacterial aquaculture pathogens (Aeromonas salmonicida, Vagococcus salmoninarum, and Yersinia ruckeri) were selected for assay development. DNA biomarkers were identified, corresponding primer-probe sets designed, and qPCR assays developed. The biomarker for Aeromonas was also detected using the hybrid PIC platform. This is the first successful demonstration of biosensing on the hybrid PIC platform.
Nutritional, Phytochemical, and Functional Properties of Four Edible Orchid Species from Malawi
Authors: Kumwenda Felix Daire , Sumani Jimmy , Jere Wilson , Nyirenda Kumbukani Kafwirangachi , Mwatseteza Jonas
Published: June 2024

Terrestrial orchid tubers are an important source of food in some parts of Africa and are traditionally included in the diets of most rural communities in Malawi. However, there is limited information on the nutritional and phytochemical content of the Malawian orchids to substantiate their traditional use. The present study evaluates the nutritional and phytochemical variation of four orchid species: Disa zombica, Satyrium buchananii, Satyrium carsonii, and Satyrium trinerve, collected from the same ecological zone of Malawi. The proximate content, minerals, phytochemicals, and functional properties were analysed using official procedures. Protein ranged from 2.19% to 4.65%, whereas carbohydrate ranged from 65.24% to 80.22%, with S. carsonii and S. trinerve registering the highest protein and carbohydrate contents, respectively. Iron and potassium were highest in D. zombica, while sodium and calcium were highest in S. buchananii. The total phenolics ranged from 228.56 to 500.00 mg GAE/100 g, with D. zombica registering the highest. The water absorption capacity ranged from 4.10 to 10.88 g/g. Albeit variable levels, the study provides evidence that orchid species contain essential nutrients and phytochemicals important for human nutrition and health. Furthermore, the functional properties can be utilised in the development of food products, such as baked products.
Muscular Performance and Blood Pressure After Different Pre-Strength Training Strategies in Recreationally Strength-Trained Women: Cross-Over Trial
Authors: Monteiro Estêvão Rios , Pescatello Linda S. , Leitao Luis , de Miranda Marcelo José Colonna , Marchetti Paulo H. , Novaes Michelle Ribeiro , da Silva Araújo Gleisson , Corrêa Neto Victor Gonçalves , da Silva Novaes Jefferson
Published: June 2024

Background This study aimed to examine the acute effects of different pre-ST strategies on muscular performance and blood pressure (BP) responses in recreationally strength-trained women. Methods: Twelve overweight women with normal-to-elevated BP were recruited and performed six exper-imental protocols in a randomized order: 1) control protocol (CC) – BP assessed without exercises performed, 2) strength training (ST), 3) foam rolling warm-up followed by strength training (FR+ST), 4) specific warm-up followed by strength training (SW+ST), 5) aerobic exercise followed by strength training (AE+ST), and 6) stretching exercises followed by strength training (SE+ST). Strength training consisted of three sets at 80% of 10RM with a self-suggested rest interval between sets for bench press, back squat, bench press 45º, front squat, lat pull-down, leg press, shoulder press, and leg extension. Results: All experimental protocol had a lower total training volume, fa-tigue index, and repetitions performance in relation to ST (p
UCP3 GENE POLYMORPHISM AND MILK PRODUCTION TRAITS IN CATTLE
Authors:   Department of Genetics, West Pomeranian University of Technology, Szczecin, Poland, KOWALEWSKA Inga , KOSTIUK Volodymir ,   National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine, KOSTENKO Wasyl ,   National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine, CZERNIAWSKA-PIĄTKOWSKA Ewa ,   Department of Ruminant Science, West Pomeranian University of Technology, Szczecin, Poland, WRZECIŃSKA Marcjanna ,   Department of Ruminant Science, West Pomeranian University of Technology, Szczecin, Poland, KOWALCZYK Alicja ,   Department of Environmental Hygiene and Animal Welfare, Wrocław University of Environmental and Life Sciences, Wroclaw, Poland, HILLER Sonia ,   Department of Ruminant Science, West Pomeranian University of Technology, Szczecin, Poland
Published: June 2024

The protein UCP3 can perform several different functions such as regulating lipid metabolism in mitochondria, protecting against oxidative stress, and regulating energy metabolism, and proper metabolism is crucial in cows during lactation. The aim of the study was to determine the frequency of genes and alleles and their influence on milk production traits for four SNP (rs467440799, rs446854207, rs444645335, and rs440638775) polymorphisms in the UCP3 gene. The experiment was conducted in a herd of Polish Holstein-Friesian black and white cows, and genotypes were determined using the PCR-RFLP method. The conducted research showed that the analyzed SNPs significantly (p ≤ 0.05) influence milk production traits such as milk yield, fat yield, and protein yield.
Substrate transport and drug interaction of human thiamine transporters SLC19A2/A3
Authors: Qu Qianhui , Li Peipei , Zhu Zhini , Wang Yong , Zhang Xuyuan , Zhou Zixuan , Zhu Yalan , Chao Yulin , Long Yonghui , Liu Songqing , Zhang Liguo , Gao Pu
Published: June 2024

Thiamine and pyridoxine are essential B vitamins that serve as enzymatic cofactors in energy metabolism, protein and nucleic acid biosynthesis, and neurotransmitter production. In humans, thiamine transporters SLC19A2 and SLC19A3 primarily regulate cellular uptake of both vitamins. Genetic mutations in these transporters, which cause thiamine and pyridoxine deficiency, have been implicated in severe neurometabolic diseases. Additionally, various prescribed medicines, including metformin and fedratinib, manipulate thiamine transporters, complicating the therapeutic effect. Despite their physiological and pharmacological significance, the molecular underpinnings of substrate and drug recognition remain unknown. Here we present ten cryo-EM structures of human thiamine transporters SLC19A3 and SLC19A2 in outward- and inward-facing conformations, complexed with thiamine, pyridoxine, metformin, fedratinib, and amprolium. These structural insights, combined with functional characterizations, illuminate the translocation mechanism of diverse chemical entities, and enhance our understanding drug-nutrient interactions mediated by thiamine transporters.
Border destination residents' perceptions towards tourism development: the case of Lujiang, China
Authors: Tan Yuelin
Published: June 2024

Destination residents are important stakeholders in tourism development, and understanding residents' perceptions of tourism is the key factor in developing successful management of sustainable tourism development. However, current studies on residents' perceptions mainly focus on ecotourism or rural tourism with quantitative methods and pay little attention to residents who are living in border destinations. This paper explores residents' perceptions of tourism development in Lujiang, a small Chinese village on the border between China and North Korea. A survey of 30 semistructured interviews was conducted to examine how various factors influence residents' perceptions of the impacts of tourism. The Zaltman Metaphor Elicitation Technique (ZMET) was used to construct a map of perceived consensus, from which researchers identified 4 themes related to residents' perceptions of tourism. Moreover, this paper provides a new method for analyzing residents' perceptions of tourism development. ZMET might be a better way to obtain metaphorical information or more information from participants.
Public attitudes and participation in green cultural heritage conservation: An application of the extended theory of planned behavior
Authors: Xie Jing , Li Hongyu , Furuya Katsunori , Chen Jie , Luo Shixian
Published: June 2024

Cultural heritage is an important contributor to sustainable urban development, and its conservation is considered a global task. Previous research has primarily focused on the conservation of heritage buildings within architectural contexts and world heritage sites within geographical contexts. However, there is a notable gap in conservation of green cultural heritage (GCH) within a landscape-based framework. This study used the extended theory of planned behavior to explore the factors and pathways that influence the public's behavioral intentions toward GCH conservation. Based on 1075 questionnaires collected in Tokyo, Japan, the hypotheses of the newly constructed theoretical model were tested using partial least squares structural equation modeling. The results show that perceived behavioral control has the greatest positive influence on citizens' GCH conservation intentions and behaviors, while social norms do not influence people's willingness to conserve. In the extended factors, the environmental awareness which including heritage awareness and cultural attachment, significantly influences the range of public attitudes towards conservation, while environmental perception, including perceived usefulness and perceived quality, significantly affects the public's conservation intentions and behaviors, respectively. Our findings have implications for local governments and policymakers to enhance public participation in GCH, as well as some several new theoretical interests for further studies.
Association of BMI mediated atherogenic index of plasma with periodontitis: a population-based cross-sectional study
Authors: Gu Xuanyan , Luo Shiyi , Sun Jiangling , Jin Fuqian , Song Jukun , Chen Zhu
Published: June 2024

Background
A relationship between BMI (BMI ≥ 25) and periodontitis has been demonstrated in earlier research. There is an association between numerous metabolic diseases and the atherogenic index of plasma (AIP). Nevertheless, there is currently not enough data to clarify the connection between AIP and periodontitis. Analyzing the connection between AIP and periodontitis in adult US participants was the main goal of this study; its additional objective was to see if BMI (BMI ≥ 25) could mediate this relationship.
Methods
The study encompassed 3402 adults (age ≥ 30 years) diagnosed with periodontitis, treating it as a continuous factor, while distinguishing AIP as a binary variable. A variety of covariate sets were used, that include age, sex, number of flossing, and so forth. The data in this study were analyzed using a range of statistical methods, including multivariate logistic regression, subgroup analyses, and mediation effects analysis, using Empower Stats version 4.1.
Results
By using fully adjusted multivariate logistic regression analysis, a significant positive correlation between AIP and periodontitis was identified with an odds ratio (OR) of 1.12 and a 95% confidence interval (CI) of (1.01, 1.25). AIP and periodontitis were observed to be associated with a 14.78% mediating effect of BMI (BMI ≥ 25) according to mediation analysis.
Conclusion
This study indicates that a higher risk of developing periodontitis is associated with raised levels of AIP, and that BMI (BMI ≥ 25) acts as a mediating element in this connection. These results offer a fresh viewpoint on clinical strategies for managing and preventing periodontitis.
Pilot study of humanized glypican-3-targeted zirconium-89 immuno-positron emission tomography for hepatocellular carcinoma
Authors: Dickerson Lindsay K. , Lehnert Adrienne L. , Hamlin Donald K. , Labadie Kevin P. , Goodsell Kristin E. , Liu Yongjun , Li Yawen , Wilbur D. Scott , Miyaoka Robert , Park James O.
Published: June 2024

Purpose: Glypican-3 (GPC3)-targeted radioisotope immuno-positron emission tomography (immunoPET) may lead to earlier and more accurate diagnosis of hepatocellular carcinoma (HCC), thus facilitating curative treatment, decreasing early recurrence, and enhancing patient survival. We previously demonstrated reliable HCC detection using a zirconium-89-labeled murine anti-GPC3 antibody (89Zr-αGPC3M) for immunoPET. This study evaluated the efficacy of the humanized antibody successor (αGPC3H) to further clinical translation of a GPC3-based theranostic for HCC. Methods:In vitro αGPC3 binding to HepG2 cells was assessed by flow cytometry. In vivo 89Zr-αGPC3H and 89Zr-αGPC3M tumor uptake was evaluated by PET/CT and biodistribution studies in an orthotopic xenograft mouse model of HCC. Results: αGPC3H maintained binding to GPC3 in vitro and 89Zr-αGPC3H immunoPET identified liver tumors in vivo. PET/CT and biodistribution analyses demonstrated high 89Zr-αGPC3H tumor uptake and tumor-to-liver ratios, with no difference between groups. Conclusion: Humanized αGPC3 successfully targeted GPC3 in vitro and in vivo. 89Zr-αGPC3H immunoPET had comparable tumor detection to 89Zr-αGPC3M, with highly specific tumor uptake, making it a promising strategy to improve HCC detection.