bluuebunny/crossref_metadata_2025 huggingface dataset:
The Role of Physical Activity in Adjunctive Nursing Management of Neuro-Degenerative Diseases among Older Adults: A Systematic Review of Interventional Studies
Authors: Alanazi Majed Awad
Published: May 2024

Neurodegenerative diseases such as dementia and Parkinson’s disease pose significant challenges to older adults globally. While pharmacological treatments remain primary, increasing evidence supports the role of non-pharmacological strategies like physical activity in managing these conditions. This systematic review critically evaluates the effectiveness of Nursing based physical activity interventions in improving cognitive function, physical functioning, mobility, and overall quality of life among older adults with neurodegenerative diseases. We conducted a comprehensive search across PubMed, EMBASE, Web of Science, CENTRAL, and other relevant databases, focusing on randomized controlled trials and observational studies that examined the impact of structured physical activity. Our findings from nineteen studies involving 1673 participants indicate that interventions ranging from aerobic exercises, resistance training, to mind-body exercises like Tai Chi and yoga have beneficial effects. Specifically, physical activity was consistently found to enhance cognitive performance, increase mobility, and improve balance and daily living activities, contributing to a better quality of life. However, these benefits vary depending on the type, intensity, and duration of the activity performed. Despite promising results, limitations such as small sample sizes, study heterogeneity, and short-term follow-up periods call for more robust, long-term studies to solidify these findings. This review underscores the potential of tailored physical activity programs as adjunctive therapy in the comprehensive management of neurodegenerative diseases among the elderly population.
Optimization of an IPMSM for Constant-Angle Square-Wave Control of a BLDC Drive
Authors: Garmut Mitja , Steentjes Simon , Petrun Martin
Published: May 2024

Interior permanent magnet synchronous machines (IPMSMs) driven with a square-wave control (i.e., six-step, block, or 120° control), known commonly as brushless direct current (BLDC) drives, are used widely due to their high power density and control simplicity. The advance firing (AF) angle is employed to achieve improved operation characteristics of the drive. The AF angle is, in general, applied to compensate for the commutation effects. In the case of an IPMSM, the AF angle can also be adjusted to exploit reluctance torque. In this paper, a detailed study was performed to understand its effect on the drive’s performance in regard to reluctance torque. Furthermore, a multi-objective optimization of the machine’s cross-section using neural network models was conducted to enhance performance at a constant AF angle. The reference and improved machine designs were evaluated in a system-level simulation, where the impact was considered of the commutation of currents. A significant improvement in the machine performance was achieved after optimizing the geometry and implementing a fixed AF angle of 10°.
CosUKG: A Representation Learning Framework for Uncertain Knowledge Graphs
Authors: Shen Qiuhui , Qu Aiyan
Published: May 2024

Knowledge graphs have been extensively studied and applied, but most of these studies assume that the relationship facts in the knowledge graph are correct and deterministic. However, in the objective world, there inevitably exist uncertain relationship facts. The existing research lacks effective representation of such uncertain information. In this regard, we propose a novel representation learning framework called CosUKG, which is specifically designed for uncertain knowledge graphs. This framework models uncertain information by measuring the cosine similarity between transformed vectors and actual target vectors, effectively integrating uncertainty into the embedding process of the knowledge graph while preserving its structural information. Through multiple experiments on three public datasets, the superiority of the CosUKG framework in representing uncertain knowledge graphs is demonstrated. It achieves improved representation accuracy of uncertain information without increasing model complexity or weakening structural information.
Advanced Computational Framework to Analyze the Stability of Non-Newtonian Fluid Flow through a Wedge with Non-Linear Thermal Radiation and Chemical Reactions
Authors: Khan Muhammad Imran , Zeeshan Ahmad , Ellahi Rahmat , Bhatti Muhammad Mubashir
Published: May 2024

The main idea of this investigation is to introduce an integrated intelligence approach that investigates the chemically reacting flow of non-Newtonian fluid with a backpropagation neural network (LMS-BPNN). The AI-based LMS-BPNN approach is utilized to obtain the optimal solution of an MHD flow of Eyring–Powell over a porous shrinking wedge with a heat source and nonlinear thermal radiation (Rd). The partial differential equations (PDEs) that define flow problems are transformed into a system of ordinary differential equations (ODEs) through efficient similarity variables. The reference solution is obtained with the bvp4c function by changing parameters as displayed in Scenarios 1–7. The label data are divided into three portions, i.e., 80% for training, 10% for testing, and 10% for validation. The label data are used to obtain the approximate solution using the activation function in LMS-BPNN within the MATLAB built-in command ‘nftool’. The consistency and uniformity of LMS-BPNN are supported by fitness curves based on the MSE, correlation index (R), regression analysis, and function fit. The best validation performance of LMS-BPNN is obtained at 462, 369, 642, 542, 215, 209, and 286 epochs with MSE values of 8.67 × 10−10, 1.64 × 10−9, 1.03 × 10−9, 302 9.35 × 10−10, 8.56 × 10−10, 1.08 × 10−9, and 6.97 × 10−10, respectively. It is noted that f′(η), θ(η), and ϕ(η) satisfy the boundary conditions asymptotically for Scenarios 1–7 with LMS-BPNN. The dual solutions for flow performance outcomes (Cfx, Nux, and Shx) are investigated with LMS-BPNN. It is concluded that when the magnetohydrodynamics increase (M=0.01, 0.05, 0.1), then the solution bifurcates at different critical values, i.e., λc=−1.06329,−1.097,−1.17694. The stability analysis is conducted using an LMS-BPNN approximation, involving the computation of eigenvalues for the flow problem. The deduction drawn is that the upper (first) branch solution remains stable, while the lower branch solution causes a disturbance in the flow and leads to instability. It is observed that the boundary layer thickness for the lower branch (second) solution is greater than the first solution. A comparison of numerical results and predicted solutions with LMS-BPNN is provided and they are found to be in good agreement.
Data-Adaptive Multivariate Test for Genomic Studies Using Fused Lasso
Authors: Ueki Masao
Published: May 2024

In genomic studies, univariate analysis is commonly used to discover susceptible variants. It applies univariate regression for each variant and tests the significance of the regression coefficient or slope parameter. This strategy, however, may miss signals that are jointly detectable with other variants. Multivariate analysis is another popular approach, which tests grouped variants with a predefined group, e.g., based on a gene, pathway, or physical location. However, the power will be diminished if the modeling assumption is not suited to the data. Therefore, data-adaptive testing that relies on fewer modeling assumptions is preferable. Possible approaches include a data-adaptive test proposed by Ueki (2021), which applies to various data-adaptive regression models using a generalization of Yanai’s generalized coefficient of determination. While several regression models are possible choices for the data-adaptive test, this paper focuses on the fused lasso that can count for the effect of adjacent variants and investigates its performance through comparison with other existing tests. Simulation studies demonstrate that the test using fused lasso has a high power compared to the existing tests including the univariate regression test, saturated regression test, SKAT (sequence kernel association test), burden test, SKAT-O (optimized sequence kernel association test), and the tests using lasso, ridge, and elastic net when assuming a similar effect of adjacent variants.
Secure Key Exchange in Tropical Cryptography: Leveraging Efficiency with Advanced Block Matrix Protocols
Authors: Durcheva Mariana , Danilchenko Kiril
Published: May 2024

In the quest for robust and efficient digital communication, this paper introduces cutting-edge key exchange protocols leveraging the computational prowess of tropical semirings and the structural resilience of block matrices. Moving away from the conventional use of finite fields, these protocols deliver markedly faster processing speeds and heightened security. We present two implementations of our concept, each utilizing a different platform for the set of commuting matrices: one employing tropical polynomials of matrices and the other employing Linde–de la Puente matrices. The inherent simplicity of tropical semirings leads to a decrease in operational complexity, while using block matrices enhances our protocols’ security profile. The security of these protocols relies on the Matrix Decomposition Problem. In addition, we provide a comparative analysis of our protocols against existing matrix block-based protocols in finite fields. This research marks a significant shift in cryptographic protocol design, is specifically tailored for demanding engineering applications, and sets a new standard in secure and efficient digital communication.
Cost Evaluation for Capacity Planning Based on Patients’ Pathways via Semi-Markov Reward Modelling
Authors: Chatzimichail Christina , Kolias Pavlos , Papadopoulou Alexandra
Published: May 2024

In the present paper, we develop a non-homogeneous semi-Markov reward model, deriving expressions for a healthcare system’s expected structure along with the expected costs generated by medical services and patients’ holding times in the states. We provide a novel definition and investigation for states’ availability, which is critical for capacity planning based on service demand in an environment of limited resources. The study is based on patients’ mobility through hospital care, where each patient spends an amount of time in every state of the hospital (emergency room, short-term acute care, hospitalization, surgery room, and intensive care unit). Multiple outcomes, such as discharge or death, can also be taken into account. We envisage a situation where any discharges are immediately replaced by a number of new admissions that carry on the pathways of the patients who exit. By assuming an expanding system, the new idea of states’ inflows is considered due to new patients who create pathways through hospital care, along with internal entrances. The theoretical results are illustrated numerically with simulated hospital data informed by aggregated public data of the Greek public health sector. The framework can be used for both strategic planning and cost evaluation purposes for hospital resources.
An Effective Method for Slicing Triangle Meshes Using a Freeform Curve
Authors: Lee Seung-Yong , Kweon Seong-Hyeon , Yoon Seung-Hyun
Published: May 2024

Slicing 3D polygonal meshes is a fundamental operation in various applications such as virtual surgery, garment simulation, and game development. Existing methods primarily slice meshes using either a single line or a set of line segments approximating a smooth curve. This paper introduces a novel approach to freely slice a triangle mesh using a freeform curve without discretizing it into line segments. The user draws a stroke on the screen, defining the desired cutting trajectory. Subsequently, a freeform curve approximating this stroke is generated and extended into a ruled surface in the user’s viewing direction. To efficiently compute intersections between the ruled surface and a triangle mesh, the Line–Surface Intersection (LSI) problem is broken down into two subproblems: Plane–Curve Intersection (PCI) followed by Line–Line Intersection (LLI). Intersection points are then connected to form polylines, effectively cutting the mesh into multiple submeshes. To ensure the solidity of the submeshes, cross-sections are generated by trimming the ruled surface along the polylines and merged with the corresponding submeshes. Our method empowers users to slice triangle meshes along arbitrary trajectories encompassing both straight and freely curved paths while preserving efficiency and accuracy. The effectiveness of the proposed approach is demonstrated through experimental results showing various examples of mesh slicing.
A Hybrid Optimization Model for Efficient Detection and Classification of Malware in the Internet of Things
Authors: Ahmad Ijaz , Wan Zhong , Ahmad Ashfaq , Ullah Syed Sajid
Published: May 2024

The proliferation of Internet of Things (IoT) devices and their integration into critical infrastructure and business operations has rendered them susceptible to malware and cyber-attacks. Such malware presents a threat to the availability and reliability of IoT devices, and a failure to address it can have far-reaching impacts. Due to the limited resources of IoT devices, traditional rule-based detection systems are often ineffective against sophisticated attackers. This paper addressed these issues by designing a new framework that uses a machine learning (ML) algorithm for the detection of malware. Additionally, it also employed sequential detection architecture and evaluated eight malware datasets. The design framework is lightweight and effective in data processing and feature selection algorithms. Moreover, this work proposed a classification model that utilizes one support vector machine (SVM) algorithm and is individually tuned with three different optimization algorithms. The employed optimization algorithms are Nuclear Reactor Optimization (NRO), Artificial Rabbits Optimization (ARO), and Particle Swarm Optimization (PSO). These algorithms are used to explore a diverse search space and ensure robustness in optimizing the SVM for malware detection. After extensive simulations, our proposed framework achieved the desired accuracy among eleven existing ML algorithms and three proposed ensemblers (i.e., NRO_SVM, ARO_SVM, and PSO_SVM). Among all algorithms, NRO_SVM outperforms the others with an accuracy rate of 97.8%, an F1 score of 97%, and a recall of 99%, and has fewer false positives and false negatives. In addition, our model successfully identified and prevented malware-induced attacks with a high probability of recognizing new evolving threats.
Is There Safety Outside the “Safe Zone” in Total Hip Replacement? A Retrospective Observational Study
Authors: Stępiński Piotr , Jegierski Dawid , Maciąg Grzegorz , Maciąg Bartosz , Adamska Olga , Stolarczyk Artur
Published: May 2024

Background and Objectives: The safe zone in total hip replacement was introduced many years ago. Its aim was to provide guidelines for orthopedic surgeons in order to avoid complications such as instability. With the growing interest in spinopelvic alignment, some new insights suggest that the safe zone is an obsolete concept. This study aims to show that, even outside the safe zone, the effect of total hip replacement can be satisfactory. This could be used as preliminary study for an analysis of a larger group. Materials and Methods: Fifty-nine consecutive patients with end-stage osteoarthritis treated by total hip replacement were enrolled into the study and divided into two groups: inside the safe zone and outside the safe zone. A physical examination during postoperative visits was performed; the range of movement was measured using a goniometer; and the HHS and VAS were taken to measure functional outcomes and pain, respectively. An analysis of the radiological outcomes was performed. Results: There was no significant difference in regard to changes in total offset, pain, HHS and other complications. There were no signs of instability among patients during the follow-up. Conclusions: The results of this study show that the “safe zone” is a more complicated term that was previously thought. A proper soft tissue balance and spinopelvic alignment could be factors that change the “safe zone” for each patient and make it more individual.
Comparison of Various Extraction Approaches for Optimized Preparation of Intracellular Metabolites from Human Mesenchymal Stem Cells and Fibroblasts for NMR-Based Study
Authors: Nováková Slavomíra , Baranovičová Eva , Hatoková Zuzana , Beke Gábor , Pálešová Janka , Záhumenská Romana , Baďurová Bibiána , Janíčková Mária , Strnádel Ján , Halašová Erika , Škovierová Henrieta
Published: May 2024

Metabolomics has proven to be a sensitive tool for monitoring biochemical processes in cell culture. It enables multi-analysis, clarifying the correlation between numerous metabolic pathways. Together with other analysis, it thus provides a global view of a cell’s physiological state. A comprehensive analysis of molecular changes is also required in the case of mesenchymal stem cells (MSCs), which currently represent an essential portion of cells used in regenerative medicine. Reproducibility and correct measurement are closely connected to careful metabolite extraction, and sample preparation is always a critical point. Our study aimed to compare the efficiencies of four harvesting and six extraction methods. Several organic reagents (methanol, ethanol, acetonitrile, methanol–chloroform, MTBE) and harvesting approaches (trypsinization vs. scraping) were tested. We used untargeted nuclear magnetic resonance spectroscopy (NMR) to determine the most efficient method for the extraction of metabolites from human adherent cells, specifically human dermal fibroblasts adult (HDFa) and dental pulp stem cells (DPSCs). A comprehensive dataset of 29 identified and quantified metabolites were determined to possess statistically significant differences in the abundances of several metabolites when the cells were detached mechanically to organic solvent compared to when applying enzymes mainly in the classes of amino acids and peptides for both types of cells. Direct scraping to organic solvent is a method that yields higher abundances of determined metabolites. Extraction with the use of different polar reagents, 50% and 80% methanol, or acetonitrile, mostly showed the same quality. For both HDFa and DPSC cells, the MTBE method, methanol–chloroform, and 80% ethanol extractions showed higher extraction efficiency for the most identified and quantified metabolites Thus, preparation procedures provided a cell sample processing protocol that focuses on maximizing extraction yield. Our approach may be useful for large-scale comparative metabolomic studies of human mesenchymal stem cell samples.
Phenotypic and Genomic Characterization of Pseudomonas wuhanensis sp. nov., a Novel Species with Promising Features as a Potential Plant Growth-Promoting and Biocontrol Agent
Authors: Hou Jiawei , Liao Kaiji , Zhang Yong-Jie , Li Jun-Zhou , Wei Hai-Lei
Published: May 2024

Plant growth-promoting rhizobacterial strain FP607T was isolated from the rhizosphere of beets in Wuhan, China. Strain FP607T exhibited significant antagonism toward several phytopathogenic bacteria, indicating that FP607T may produce antimicrobial metabolites and has a stronger biocontrol efficacy against plant pathogens. Growth-promoting tests showed that FP607T produced indole-3-acetic acid (IAA), NH3, and ferritin. The genome sequence of strain FP607T was 6,590,972 bp long with 59.0% G + C content. The optimum temperature range was 25–30 °C, and the optimum pH was 7. The cells of strain FP607T were Gram-negative, short, and rod-shaped, with polar flagella. The colonies on the King’s B (KB) agar plates were light yellow, smooth, and circular, with regular edges. A phylogenetic analysis of the 16S rRNA sequence and a multilocus sequence analysis (MLSA) showed that strain FP607T was most closely related to the type of strain Pseudomonas farris SWRI79T. Based on a polyphasic taxonomic approach, strain FP607T was identified as a novel species within the genus Pseudomonas, for which the name Pseudomonas wuhanensis sp. nov. was proposed. The type of strain used was FP607T (JCM 35688, CGMCC 27743, and ACCC 62446).
Do Weather Conditions Still Have an Impact on the COVID-19 Pandemic? An Observation of the Mid-2022 COVID-19 Peak in Taiwan
Authors: Lin Wan-Yi , Lin Hao-Hsuan , Chang Shih-An , Chen Wang Tai-Chi , Chen Juei-Chao , Chen Yu-Sheng
Published: May 2024

Since the onset of the COVID-19 pandemic in 2019, the role of weather conditions in influencing transmission has been unclear, with results varying across different studies. Given the changes in border policies and the higher vaccination rates compared to earlier conditions, this study aimed to reassess the impact of weather on COVID-19, focusing on local climate effects. We analyzed daily COVID-19 case data and weather factors such as temperature, humidity, wind speed, and a diurnal temperature range from 1 March to 15 August 2022 across six regions in Taiwan. This study found a positive correlation between maximum daily temperature and relative humidity with new COVID-19 cases, whereas wind speed and diurnal temperature range were negatively correlated. Additionally, a significant positive correlation was identified between the unease environmental condition factor (UECF, calculated as RH*Tmax/WS), the kind of Climate Factor Complex (CFC), and confirmed cases. The findings highlight the influence of local weather conditions on COVID-19 transmission, suggesting that such factors can alter environmental comfort and human behavior, thereby affecting disease spread. We also introduced the Fire-Qi Period concept to explain the cyclic climatic variations influencing infectious disease outbreaks globally. This study emphasizes the necessity of considering both local and global climatic effects on infectious diseases.
Fast Bacterial Succession Associated with the Decomposition of Larix gmelinii Litter in Wudalianchi Volcano
Authors: Xie Lihong , Cheng Jiahui , Cao Hongjie , Yang Fan , Jiang Mingyue , Li Maihe , Huang Qingyang
Published: May 2024

In order to understand the role of microorganisms in litter decomposition and the nutrient cycle in volcanic forest ecosystems, the dominant forest species Larix gmelinii in the volcanic lava plateau of the Wudalianchi volcano was considered as the research object. We analyzed the response of bacterial community structure and diversity to litter decomposition for 1 year, with an in situ decomposition experimental design using litter bags and Illumina MiSeq high-throughput sequencing. The results showed that after 365 days, the litter quality residual rate of Larix gmelinii was 77.57%, and the litter N, P, C:N, C:P, and N:P showed significant differences during the decomposition period (p < 0.05). The phyla Cyanobacteria and the genus unclassified_o_Chloroplast were the most dominant groups in early decomposition (January and April). The phyla Proteobacteria, Actinobacteriota, and Acidobacteriota and the genera Massilia, Pseudomonas, and Sphingomona were higher in July and October. The microbial communities showed extremely significant differences during the decomposition period (p < 0.05), with PCoa, RDA, and litter QRR, C:P, and N as the main factors driving litter bacteria succession. Microbial functional prediction analysis showed that Chloroplasts were the major functional group in January and April. Achemoheterotrophy and aerobic chemoheterotrophy showed a significant decrease as litter decomposition progressed.
Inclusion Complexes of Ethanamizuril with β- and Hydroxypropyl-β-Cyclodextrin in Aqueous Solution and in Solid State: A Comparison Study
Authors: Guo Juan , Zhang Lifang , Wang Mi , Liu Yingchun , Fei Chenzhong
Published: May 2024

Ethanamizuril (EZL) is a new anticoccidial drug developed by our Shanghai Veterinary Research Institute. Since EZL is almost insoluble in water, we conducted a study to improve the solubility of EZL by forming inclusion complexes with β-cyclodextrin (β-CD) and hydroxypropyl-β-cyclodextrin (HP-β-CD). In this study, we performed molecular docking and then systematically compared the interactions of EZL with β-CD and HP-β-CD in both aqueous solution and the solid state, aiming to elucidate the solubilization effect and mechanism of cyclodextrins (CDs). The interactions were also examined in the solid state using DSC, PXRD, and FT-IR. The interactions of EZL with CDs in an aqueous solution were investigated using PSA, UV-vis spectroscopy, MS, 1H NMR, and 2D ROESY. The results of phase solubility experiments revealed that both β-CD and HP-β-CD formed inclusion complexes with EZL in a 1:1 molar ratio. Among them, HP-β-CD exhibited higher Kf (stability constant) and CE (complexation efficiency) values as well as a stronger solubilization effect. Furthermore, the two cyclodextrins were found to interact with EZL in a similar manner. The results of our FT-IR and 2D ROESY experiments are in agreement with the theoretical results derived from molecular simulations. These results indicated that intermolecular hydrogen bonds existing between the C=O group on the triazine ring of EZL and the O-H group of CDs, as well as the hydrophobic interactions between the hydrogen on the benzene ring of EZL and the hydrogen of CDs, played crucial roles in the formation of EZL/CD inclusion complexes. The results of this study can lay the foundation for the future development of high-concentration drinking water delivery formulations for EZL.
A Narrative Review of the Sociotechnical Landscape and Potential of Computer-Assisted Dynamic Assessment for Children with Communication Support Needs
Authors: Norrie Christopher S. , Deckers Stijn R. J. M. , Radstaake Maartje , van Balkom Hans
Published: May 2024

This paper presents a narrative review of the current practices in assessing learners’ cognitive abilities and the limitations of traditional intelligence tests in capturing a comprehensive understanding of a child’s learning potential. Referencing prior research, it explores the concept of dynamic assessment (DA) as a promising yet underutilised alternative that focuses on a child’s responsiveness to learning opportunities. The paper highlights the potential of novel technologies, in particular tangible user interfaces (TUIs), in integrating computational science with DA to improve the access and accuracy of assessment results, especially for children with communication support needs (CSN), as a catalyst for abetting critical communicative competencies. However, existing research in this area has mainly focused on the automated mediation of DA, neglecting the human element that is crucial for effective solutions in special education. A framework is proposed to address these issues, combining pedagogical and sociocultural elements alongside adaptive information technology solutions in an assessment system informed by user-centred design principles to fully support teachers/facilitators and learners with CSN within the special education ecosystem.
A Facile Strategy for the Preparation of N-Doped TiO2 with Oxygen Vacancy via the Annealing Treatment with Urea
Authors: Zhang Zhe , Cui Zhenpeng , Xu Yinghao , Ghazzal Mohamed Nawfal , Colbeau-Justin Christophe , Pan Duoqiang , Wu Wangsuo
Published: May 2024

Although titanium dioxide (TiO2) has a wide range of potential applications, the photocatalytic performance of TiO2 is limited by both its limited photoresponse range and fast recombination of the photogenerated charge carriers. In this work, the preparation of nitrogen (N)-doped TiO2 accompanied by the introduction of oxygen vacancy (Vo) has been achieved via a facile annealing treatment with urea as the N source. During the annealing treatment, the presence of urea not only realizes the N-doping of TiO2 but also creates Vo in N-doped TiO2 (N-TiO2), which is also suitable for commercial TiO2 (P25). Unexpectedly, the annealing treatment-induced decrease in the specific surface area of N-TiO2 is inhibited by the N-doping and, thus, more active sites are maintained. Therefore, both the N-doping and formation of Vo as well as the increased active sites contribute to the excellent photocatalytic performance of N-TiO2 under visible light irradiation. Our work offers a facile strategy for the preparation of N-TiO2 with Vo via the annealing treatment with urea.
Effect of Crystallinity on the Field Emission Characteristics of Carbon Nanotube Grown on W-Co Bimetallic Catalyst
Authors: Yao Qi , Wu Yiting , Song Guichen , Xu Zhaoyin , Ke Yanlin , Zhan Runze , Chen Jun , Zhang Yu , Deng Shaozhi
Published: May 2024

Carbon nanotube (CNT) is an excellent field emission material. However, uniformity and stability are the key issues hampering its device application. In this work, a bimetallic W-Co alloy was adopted as the catalyst of CNT in chemical vapor deposition process. The high melting point and stable crystal structure of W-Co helps to increase the grown CNT diameter uniformity and homogeneous crystal structure. High-crystallinity CNTs were grown on the W-Co bimetallic catalyst. Its field emission characteristics demonstrated a low turn-on field, high current density, stable current stability, and uniform emission distribution. The Fowler–Nordheim (FN) and Seppen–Katamuki (SK) analyses revealed that the CNT grown on the W-Co catalyst has a relatively low work function and high field enhancement factor. The high crystallinity and homogeneous crystal structure of CNT also reduce the body resistance and increase the emission current stability and maximum current. The result provides a way to synthesis a high-quality CNT field emitter, which will accelerate the development of cold cathode vacuum electronic device application.
Exploring Feedback Mechanics during Experiential Learning in Pharmacy Education: A Scoping Review
Authors: Alkhiyami Dania , Abou Safrah Salam , Sethi Ahsan , Hadi Muhammad Abdul
Published: May 2024

(1) Background: This scoping review aims to explore the literature on feedback for pharmacy students during experiential learning, with a focus on identifying the modes of delivery of feedback and the perceived impact of feedback on student learning outcomes. (2) Methods: The scoping review was conducted in accordance with the Joanna Briggs Institute (JBI) methodology and reported following the Preferred Reporting Items for Systematic Reviews Extension for Scoping Reviews (PRISMA-ScR) guidelines. PubMed, Web of Science, Embase, EBSCO, ERIC, and ProQuest Central were searched electronically from their inception until the end of February 2023 using a combination of keywords and MeSH terms related to feedback, pharmacy education, and student learning outcomes. Data were synthesized narratively. (3) Results: This review included 13 studies published between 2008 and 2022. Almost half of the included studies were conducted in the USA (n = 6, 46%) and reported the perspective of undergraduate pharmacy students (n = 6, 46%). Verbal feedback was the most common mode of feedback delivery (n = 6, 46%). The enablers of effective feedback included timely feedback (n = 6, 46%), feedback provided in a goal-oriented and objective manner (n = 5, 40%), and student-specific feedback (n = 4, 30%). On the other hand, the most common impediments to feedback efficacy were providing extremely positive feedback and lack of constructive criticism. (4) Conclusions: Our findings highlight the importance of feedback model implementation in pharmacy education and preceptor training programs to ensure effective and quality feedback to pharmacy students.
Quantitative Determination of Biogenic Element Contents and Phytochemicals of Broccoli (Brassica oleracea var. italica) Cooked Using Different Techniques
Authors: AlJuhaimi Fahad , Mohamed Ahmed Isam A. , Özcan Mehmet Musa , Uslu Nurhan , Albakry Zainab
Published: May 2024

In this study, the effect of different cooking techniques on broccoli moisture, total phenolic, total flavonoid, and radical scavenging capacity results, polyphenol contents, and their quantitative values was investigated. The total phenolic quantities of fresh and cooked broccoli samples were assessed to be between 36.32 (conventional boiling) and 423.39 mg GAE/100 g (microwave heating). The radical scavenging activities of the broccoli samples were reported between 2.55 (conventional boiling) and 4.99 mmol/kg (microwave heating). In addition, catechin and rutin quantities of the fresh and cooked broccoli samples were measured to be between 2.24 (conventional boiling) and 54.48 mg/100 g (microwave heating), and between 0.55 (conventional boiling) and 16.33 mg/100 g (microwave heating), respectively. The most abundant elements in fresh and cooked broccoli samples were K, Ca, P, S, and Mg. The results showed some changes depending on cooking techniques compared to the control. The bioactive properties of broccoli samples cooked by means of conventional boiling, boiling in vacuum bag, and high-pressure boiling were established to be lower compared to the fresh sample. Catechin, 3,4-dihydroxybenzoic acid, rutin, and gallic acid were the key phenolic compounds of fresh and cooked broccoli samples. The phenolic components of broccoli were significantly affected by the applied cooking techniques. The highest protein in broccoli samples was determined in the broccoli sample cooked by boiling in a vacuum bag. There were statistically significant changes among the mineral results of broccoli cooked with different cooking methods.
Production of Polyphenolic Natural Products by Bract-Derived Tissue Cultures of Three Medicinal Tilia spp.: A Comparative Untargeted Metabolomics Study
Authors: Szűcs Zsolt , Cziáky Zoltán , Volánszki László , Máthé Csaba , Vasas Gábor , Gonda Sándor
Published: May 2024

Medicinal plant tissue cultures are potential sources of bioactive compounds. In this study, we report the chemical characterization of the callus cultures of three medicinal Tilia spp. (Tilia cordata, Tilia vulgaris and Tilia tomentosa), along with the comparison to bracts and flowers of the same species. Our aim was to show that calli of Tilia spp. are good alternatives to the calli of T. americana for the production of polyphenols and are better sources of a subset of polyphenolic metabolites, compared to the original organs. Calli were initiated from young bracts and grown on woody plant medium containing 1 mg L−1 2,4-D and 0.1 mg L−1 BAP. For chemical characterization, a quality-controlled untargeted metabolomics approach and the quantification of several bioactive compounds was performed with the use of LC-ESI-MS/MS. While bracts and flowers contained flavonoid glycosides (astragalin, isoquercitrin) as major polyphenols, calli of all species contained catechins, coumarins (fraxin, esculin and scopoletin) and flavane aglyca. T. tomentosa calli contained 5397 µg g DW−1 catechin, 201 µg g DW−1 esculin, 218 µg g DW−1 taxifolin and 273 µg g DW−1 eriodictyol, while calli from other species contained lower amounts. T. cordata and T. tomentosa flowers were rich in isoquercitrin, containing 8134 and 6385 µg g DW−1, respectively. The currently tested species contained many of the bioactive metabolites described from T. americana. The production of catechin was shown to be comparable to the most efficient tissue cultures reported. Flowers and bracts contained flavonoid glycosides, including tiliroside, resembling bioactive fractions of T. americana. In addition, untargeted metabolomics has shown fingerprint-like differences among species, highlighting possible chemotaxonomic and quality control applications, especially for bracts.
Research on Disinformation in Academic Studies: Perspectives through a Bibliometric Analysis
Authors: Navarro-Sierra Nuria , Magro-Vela Silvia , Vinader-Segura Raquel
Published: May 2024

Disinformation is a phenomenon of concern to all political systems, as it poses a threat to freedom and democracy through the manipulation of public opinion aimed at eroding institutions. This paper presents a bibliometric and systematized study which allows the establishment of a comprehensive view of the research and current state of academic investigations on disinformation. To this end, a content analysis of the scientific articles indexed in Scopus up to 31 December 2023 has been carried out based on three categories of analysis: journals, authors and investigations. Similarly, a systematic study of the 50 most cited articles in this sample was performed in order to gain a deeper understanding of the nature, motivations and methodological approaches of these investigations. The results indicate that disinformation is a research topic which has gained great interest in the academic community since 2018, with special mention to the impact of COVID-19 and the vaccines against this disease. Thus, it can be concluded that disinformation is an object of study which attracts significant attention and which must be approached from transdisciplinarity to respond to a phenomenon of great complexity.
Achievements in Preparation of Cyclodextrin–Based Porous Materials for Removal of Pollutants
Authors: Bao Kaiyue , Zhang Anyun , Cao Yiyao , Xu Lei
Published: May 2024

Cyclodextrin–based porous materials have been widely applied in removing various organic pollutants from water environments, due to their unique physical and chemical properties, like the size–matching effect and hydrophobic interaction. Large numbers of hydroxyl groups in its external structure give cyclodextrin a high solubility in water, but the existence of these hydroxyl groups also endows cyclodextrin with the ability to be chemically modified with various functional groups to reduce its solubility in water and, meanwhile, to develop some novel functionalized cyclodextrin–based porous materials for selective removal of the target organic pollutants. This review focuses on the recent development in the synthesis of cyclodextrin–based porous materials (crosslinked cyclodextrin polymers and immobilized cyclodextrins), as well as highlighting their applications and mechanisms in the removal of dyes, endocrine disruptors, and mixed pollutants from water. Finally, the challenges and future perspectives in related research fields are discussed.
Direct Economic Short-Term Impact of Public Spending in Sporting Events: The Case of the Elite and Senior Badminton World Championships
Authors: Quirante María , Seguí-Urbaneja Jordi , Guevara-Pérez Juan Carlos , Cabello-Manrique David
Published: May 2024

Sporting events are drivers of urban life and have the potential to bring substantial short-term economic benefits to the host region by attracting visitor spending. This study has analyzed the impact generated by the 2021 Senior and Elite Badminton World Championships that took place in Huelva, Spain. The objectives are (i) determine the economic impact and determining factors; and (ii) the impact on the development of badminton in the region. For this purpose, the study used the Cost-Benefit Analysis approach to estimate the cashflows through a survey applied to both events. The results reflect a direct positive impact on the region’s economy, although the results are not as satisfactory at the sporting level. The article contributes to the few mid-range event studies on a minority sport in a city with a highly developed tourism sector.
Analytical Method Development and Dermal Absorption of 4-Amino-3-Nitrophenol (4A3NP), a Hair Dye Ingredient under the Oxidative or Non-Oxidative Condition
Authors: Kim Hyang Yeon , Kim Yu Jin , Lee Jung Dae , Kim Hak Rim , Seo Dong-Wan
Published: May 2024

The chemical 4-amino-3-nitrophenol (4A3NP) is classified as an amino nitrophenol and is primarily utilized as an ingredient in hair dye colorants. In Korea and Europe, it is exclusively used in non-oxidative or oxidative hair dye formulations, with maximum allowable concentrations of 1% and 1.5%, respectively. Despite this widespread use, risk assessment of 4A3NP has not been completed due to the lack of proper dermal absorption data. Therefore, in this study, both the analytical method validation and in vitro dermal absorption study of 4A3NP were conducted following the guidelines provided by the Korea Ministry of Food and Drug Safety (MFDS). Before proceeding with the dermal absorption study, analytical methods were developed for the quantitation of 4A3NP through multiple reaction monitoring (MRM) via liquid chromatography-mass spectrometry (LC-MS) in various matrices, including swab wash (WASH), stratum corneum (SC), skin (SKIN, comprising the dermis and epidermis), and receptor fluid (RF). These developed methods demonstrated excellent linearity (R2 = 0.9962–0.9993), accuracy (93.5–111.73%), and precision (1.7–14.46%) in accordance with the validation guidelines.The dermal absorption of 4A3NP was determined using Franz diffusion cells with mini-pig skin as the barrier. Under both non-oxidative and oxidative (6% hydrogen peroxide (H2O2): water, 1:1) hair dye conditions, 1% and 1.5% concentrations of 4A3NP were applied to the skin at a rate of 10 μL/cm2, respectively. The total dermal absorption rates of 4A3NP under non-oxidative (1%) and oxidative (1.5%) conditions were determined to be 5.62 ± 2.19% (5.62 ± 2.19 μg/cm2) and 2.83 ± 1.48% (4.24 ± 2.21 μg/cm2), respectively.
Towards Understanding the Microepidemiology of Lymphatic Filariasis at the Community Level in Ghana
Authors: Sumboh Jeffrey Gabriel , Laryea Nii A. , Otchere Joseph , Ahorlu Collins S. , de Souza Dziedzom K.
Published: May 2024

Studies on the distribution of lymphatic filariasis (LF) have mostly focused on reporting prevalence at the community level and distribution at the district levels. Understanding the distribution patterns at community levels may help in designing surveillance strategies. This study aimed to characterize the spatial distribution of LF infections in four hotspot communities in Ghana. The research, involving 252 participants, collected demographic data, mass drug administration (MDA) information, household GPS coordinates, and antigen detection test results. The LF prevalence varied significantly among the communities, with Asemda having the highest (33.33%) and Mempeasem having the lowest (4.44%). Females had lower odds of infection than males (OR = 2.67, p = 0.003 CI: 1.39–5.13). Spatial analysis using kernel density, Anselin Local Moran’s, Getis-Ord Gi models, Ordinary Least Squares, and Geographic Weighted Regression revealed mixed patterns of spatial autocorrelation. This study identified LF hotspots, indicating clusters of high or low prevalence with some areas showing disparities between MDA coverage and LF positivity rates. Despite these hotspots, the overall distribution of LF appeared random, suggesting the importance of purposeful sampling in surveillance activities. These findings contribute valuable insights into the micro-epidemiology of LF, emphasizing the need for community-specific investigations to understand the factors influencing the effectiveness of MDA programs in controlling filarial infections. The study highlights the importance of refining surveillance strategies based on community-level distribution patterns.
Productividad del Maní (Arachis hypogaea L.) con la aplicación de fertilizantes orgánicos
Authors: Huerta Maciel Alvaro Manuel , Rasche Alvarez Jimmy Walter , Servín Niz Amílcar Isidro , Da Silva Oviedo Modesto Osmar , López Ávalos Derlys Fernando , Ruiz Díaz Lovera Edith María Diana
Published: May 2024

El humus de lombriz y el estiércol bovino son dos tipos de fertilizantes orgánicos ampliamente utilizados debido a sus beneficios para las plantas y el suelo. El objetivo del estudio fue evaluar la productividad del maní (Arachis hypogaea L.) con fertilizantes orgánicos. El experimento se realizó en la Escuela Agrícola entre septiembre y diciembre del 2023. Se empleó un diseño experimental factorial (2x4) con ocho tratamientos y tres repeticiones, evaluando altura de planta, vainas por planta, masa de semillas y rendimiento. Los resultados mostraron diferencias significativas en la mayoría de las variables con las distintas dosis de fertilizante, alcanzando un rendimiento con estiércol bovino de 2176,33 kg. ha-1 y con humus de lombriz 2355,25 kg. ha-1, y un máximo fisiológico de 30 vainas por planta con 4,85 kg.m² de fertilizante. Se concluyó que el estiércol bovino y el humus de lombriz a razón de 3,23 kg.m² favorecen el desarrollo y la productividad del cultivo de maní.
Dosis adecuada del hongo (Metarhizium anisopliae) para controlar cogollero (spodoptera frugiperda) en producción de maíz
Authors: Aricochea Muñoz Pablo , Pariona Cervantes Daniel Joel , Paredes Huere Marino Teófilo , Huapaya Zavala Felipe Orestes , Cotrina cabello Guillermo Gomer
Published: May 2024

El trabajo de investigación se desarrolló en el distrito de Ccasancca – Caja – Acobamba - Huancavelica, el objetivo de investigación fue evaluar la influencia de las tres dosis de 100g/cil., 120g/cil., 140g/cil. del hongo (Metarhizium anisopliae) para control de Cogollero (Spodoptera frugiperda) en cultivo de maíz amiláceo (Zea maíz L). Metodología utilizada fue experimental en diseño de bloques completamente al azar desarrollado con cuatro tratamientos cuatro repeticiones, se evaluó el control de gusano cogollero del maíz (Spodoptera frugiperda), los resultados obtenidos fueron el porcentaje de incidencia del cogollero (Spodoptera frugiperda), presentando baja infestación en estas etapa fenológica de crecimiento en T1 = 60%, seguido etapa de crecimiento rápido T2=30% la etapa de floración demostrando una baja infestación con un 5 %, las dosis de T3= 140 g/Cilindro, se Observa esta dosis controla la incidencia de plaga en las etapas de crecimiento y floración llegando a alcanzar un 95 % de control eficaz del rendimiento del cultivo, seguido del T2 = 120 g/cilindro, se observa  esta dosis controla la incidencia de plaga en etapas de crecimiento lento rápido llegando a alcanzar un 70 % de control, el T1 de 100g/cil, esta dosis controla la incidencia de plaga en  etapa de crecimiento lento rápido llegando a alcanzar un 20%, seguido 15 % en etapa de floración indica que el tratamiento no controla a la plaga spodoptera frugiperda. Conclusiones, se debe utilizar el hongo (Metarhizium anisopliaea) en una dosis de 140 g/ Cilindro para controlar la infestación del cogollero en el cultivo de maíz.
PENGARUH UKURAN PERUSAHAAN, RETURN ON ASSET, RETURN ON EQUITY DAN DEBT TO EQUITY RATIO TERHADAP NILAI PERUSAHAAN PADA IDX GROWTH30
Authors: Lismart Benget Jhon , Trito Siahaan Belthasar
Published: May 2024

The purpose of this study is to examine the effect company size, return on asset, return on equity and debt to equity ratio on the firm value. The population of this study is the IDX Growth 30 Index which were listed on the Indonesia Stock Exchange in 2018-2021. The results of this study indicate that simultaneously company size, return on asset, return on equity and debt to equity ratio on the firm value affect the firm value. Partially, this study show return on asset, return on equity and debt to equity ratio has a positive and significant effect on the firm value. Company size has no significant effect on the firm value.
PELATIHAN PENINGKATAN PROFESIONALISME GURU BAHASA INDONESIA DALAM MERDEKA BELAJAR DI MGMP DI KOTA MEDAN
Authors: Arianto Arianto , Kusyani Diah , Putri Lubis Lailan Syafira
Published: May 2024

Profesionalisme guru sebagai pendidik harus terus dilakukan updating dan pelatihan guna pemaksimalan dalam pembelajaran. Profesionalitas bukan hanya sekedar mampu bekerja dengan baik dan benar namun juga peningkatan mutu dan kualitas peran guru dalam proses kegiatan berlajar mengajar. Hal tersebut terkait dengan  4 kompetensi, yaitu kompetensi pedagogik, kompetensi profesional, kompetensi sosial, dan kompetensi kepribadian. Program peningkatan profesionalisme guru  Bahasa Indonesia di MGMP Madrasah Aliyah di Kota Medan sebagai upaya peningkatan mutu dan kualitas pembelajaran yang diberikan dengan memberikan program pelatihan inovatif dalam hal pengajaran kurikulum merdeka. Terutama dalam pengajaran Bahasa Indonesia di sekolah.