bluuebunny/crossref_metadata_2025 huggingface dataset:
An Integrated Decision Support System for Optimizing Time-Cost Trade-offs in Linear Repetitive Projects
Authors: Mohamed Ahmed Gouda , Ali Ali Hassan , Abdelhady Ahmed Adel
Published: January 2025

The primary aim of this paper is to minimize the overall completion time of linear repetitive projects while simultaneously reducing direct and indirect costs by employing predefined construction methods. To address these challenges, the study proposes a dual-optimization framework that integrates Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). The methodology involves decomposing repetitive tasks into sub-tasks, enabling a more detailed and feasible Time-Cost Trade-off (TCT) analysis, which is further combined with the Line of Balance (LOB) methodology. A comparative analysis between GA and PSO highlights their respective strengths and effectiveness, an area previously underexplored in the literature. The findings reveal that the proposed framework significantly reduces costs and project durations. The GA approach achieves reductions of approximately 3.25% in direct costs, 20% in indirect costs, and 7% in total construction costs, while PSO demonstrates slightly better cost efficiency with a 4% reduction in direct costs and similar reductions in indirect costs. Both methods deliver a 20% reduction in project completion time, showcasing their effectiveness in streamlining construction processes. This paper contributes to the field by presenting the GA-PSO-based Linear Repetitive Project Time-Cost Trade-off (LRPTCT) model, integrating TCT with LOB, and offering a novel solution to the complexities of linear repetitive projects. Furthermore, its comparative analysis between GA and PSO provides valuable insights for optimizing construction project management practices.
Fabrication of sustainable graphene composite for heterocyclization of anti-inflammatory and antibacterial derivatives
Authors: Patil K. S. , Mane S. T.
Published: January 2025

Herein we have synthesized 9-aryl-1,8-dioxo-octahydroxanthenes using a newly developed graphene composite through heterocyclization. Notably, derivatives with –Cl and –NO2 substitutions demonstrated significant inhibition of protein denaturation, suggesting strong anti-inflammatory activity. Furthermore, compounds with –H, –Cl, and –NO2 exhibited the largest zones of inhibition (ZOI) against both Gram-positive (B. subtilis) and Gram-negative (E. coli) bacterial strains, underscoring their potent antibacterial properties. These derivatives show promising anti-inflammatory and antibacterial activities, with enhanced bioactivity observed at higher concentrations. Overall, our results indicate that these synthesized compounds have considerable potential for therapeutic applications in both anti-inflammatory and antibacterial treatments.
The Effects achand Menisms of Electroacupuncture Combined with Exercise Training on T2DM Sarcopenia Based on the Omi/HtrA2 Autophagy Pathway
Authors: Xie Zhilin , Shen Qingxia , Yang Kai , Fu Yingmei , Liu Fang , Chen Tong , Li Xiaoliu , Zhang Jing
Published: January 2025

Purpose: To explore the effects and mechanisms of electroacupuncture combined with exercise training on sarcopenia in mice with type 2 diabetes mellitus (T2DM).
Methods: C57bcs-db mice were randomly divided into 5 groups: control group, model group, electroacupuncture group, exercise group, electroacupuncture + running group. Except for the control group, the other four groups were subcutaneously injected with dexamethasone solution to establish a T2DM sarcopenia model. After successful modeling, the mice in the running group were trained on the treadmill for 5 weeks. Mice in electroacupuncture group were connected to electrotherapy apparatus for 5 weeks. Mice in the electroacupuncture + running group were treated with both running and electroacupuncture. The grasping power, body weight and wet weight of both gastrocnemius of mice were measured. The morphology and structure of gastrocnemius were observed by HE staining. mRNA expressions of omi, Hax-1, LC3 and Becline were detected by RT-PCR, and the expression of related autophagy molecular proteins were detected by Western blot.
Results: After the modeling, all the mice reached the successful criteria for modeling of sarcopenia. After intervention, the hind leg grip of mice in electroacupuncture group, running group and electroacupuncture + running group was significantly increased. The wet weight of gastrocnemius muscle in running + electroacupuncture group was significantly higher than that in model group, and the degree of muscle fiber atrophy of gastrocnemius muscle was significantly reduced. LC3mRNA level and omi/Htra2 protein expression level were significantly decreased in electroacupuncture + running group.
Conclusion: The evidence provided by this study suggests that dexamethasone induces sarcopenia in T2DM mice. Electroacupuncture combined with exercise improves grip strength, skeletal muscle wet weight, and muscle fiber atrophy in mice, and reduces the expression of autophagy-related mRNA and proteins, indicating that electroacupuncture combined with exercise may be an effective treatment for T2DM-related sarcopenia.
SIHDConReg: Continual learning for unsupervised 3D medical image registration via an improved synaptic intelligence
Authors: Remigio Adrian
Published: January 2025

The ability of machine learning algorithms to generalize to data shifts is essential in medical imaging due to the high accuracy demands in clinical practice. Continual learning algorithms have been leveraged in various medical imaging tasks, primarily image classification and segmentation. In this study, we explore the capabilities of continual learning using synaptic intelligence (SI) regularization in 3D unsupervised medical image registration. We also proposed SIHDConReg, which incorporates hypergradient descent to SI for improved convergence during model optimization. At each optimization iteration of SIHDConReg, SI regularization, SI parameter importance calculation, and adaptive learning rate update are added to the standard Adam loop. Our ablation experiments on three sequences of various medical image registration datasets demonstrated better learning plasticity for SIHDConReg compared to SI alone. Comparison of experiments with simple fine-tuning, and L2 weight regularization implies further improvement can be made to address the stability-plasticity trade-off. However, the small catastrophic forgetting involved in the datasets in this study shows SIHDConReg as a viable learning algorithm to help medical image registration models adapt to data shifts, such as changes in field-of-view and image quality, while retaining most of the prior task knowledge.
Study on the Molecular Mechanism amd Immune Cell Infiltration of Bushenhuoluo Decoction in Osteoarthritis Treatment Based on Network Pharmacology
Authors: Zhao Min , Huang Jing , Cao Lei , Zhou Xiang , Wang Peng , Li Keqin , Zhang Lei
Published: January 2025

Background
Osteoarthritis (OA) is a common degenerative joint disorder marked by the deterioration of cartilage, joint discomfort, and inflammation. The Bushenhuoluo Decoction (BSHLD) is a traditional Chinese remedy utilized for the management of OA. The aim of this study is to examine and elucidate the mechanism of BSHLD and how the compound interacts with the target of OA.
Methods
We used a network pharmacology approach that integrates multiple bioinformatics techniques to study OA. First, we collected and analyzed OA datasets from the Gene Expression Omnibus with the R package GEOquery. To identify key differentially expressed genes (DEGs), we performed differential expression analysis using the limma package. We obtained target genes from the Online Mendelian Inheritance in Man (OMIM) and the Comparative Toxicogenomics Database (CTD). Additionally, we obtained components of traditional Chinese medicine and their targets from the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP). To enhance our understanding of the biological processes and pathways involved, we conducted enrichment analyses using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). We constructed protein-protein interaction networks to pinpoint crucial genes, which we then validated using receiver operating characteristic curve analysis. Lastly, we assessed immune cell infiltration through the CIBERSORT algorithm.
Results
Differential expression analysis using the limma package identified key difference genes (KDGs) by intersecting DEGs with OA-RELAted genes, TCM target genes, and RBIRGs, resulting in 16 KDGs. GO and KEGG pathway enrichment analyses revealed significant biological processes and pathways, including muscle cell proliferation and PI3K-Akt signaling. Protein-protein interaction (PPI) networks were constructed using STRING, and hub genes were identified through CytoHubba algorithms, highlighting nine hub genes, including MYC and CDKN1A. Expression validation and ROC curve analysis demonstrated the diagnostic potential of hub genes, with HSP90AA1, MYC, and CDKN1A showing high accuracy (AUC > 0.9). The immune infiltration analysis showed a significant positive corRELAtion between the hub gene MYC and activated mast cells. There was a significant negative corRELAtion between hub gene CDKN1A and immune cell Mast cells resting.
Conclusion
These findings provide valuable insights into the molecular interactions of BSHLD in OA treatment, potentially revealing therapeutic targets and pathways for future studies.
Impact of Socio-Economic Factors on Healthcare Expenditures of Vulnerable Elderly People in Morocco
Authors: LOUCIFI SAID , Salmi Abdelkader , Hassainate Mohammed Saber
Published: January 2025

In 1960, Morocco had 835,000 people aged 60 and over. This number reached 4.9 million in 2023 and is projected to rise to 10.1 million by 2050. The National Household Consumption and Expenditure Survey of 2013/2014 highlighted a notable disparity between male (135,387) and female (31,792) household heads. This article examines the impact of socio-economic factors on the annual health expenditures of vulnerable elderly individuals in Morocco, as well as their standard of living. Data used in this study come from the HCP-ENCDM survey (2014). We employed analysis of variance (ANOVA), t-tests, and multiple comparisons (Games-Howell) to identify variables influencing the increase in health expenditures among the elderly. The results indicate that health expenditures vary significantly based on regions, residence settings (urban/rural), household size, and the profession of the household head, while no significant difference was observed concerning gender. These findings underscore the importance of public health policies tailored to regional and socio-economic needs to reduce health inequalities.
Investigation of Obesity, Cardiovascular Risk, and Liver Fibrosis Assessment through Elastography in Type 1 Diabetes Patients
Authors: Sakurai Julia Tie , Gozzi Hitomi Wakabayashi , Neto Arnaldo Moura
Published: January 2025

Purpose
This study aimed to investigate the prevalence of obesity, cardiovascular risk (CVR), and liver fibrosis in Type 1 Diabetes (T1D) patients using hepatic elastography. Given the rising incidence of obesity and insulin resistance in T1D, the study also explored the relationship between Metabolic Syndrome (MetS) and Non-Alcoholic Fatty Liver Disease (NAFLD).
Methods
The study compared 50 T1D patients with 50 Type 2 Diabetes (T2D) patients in terms of MetS prevalence and CVR. Additionally, another group of 39 overweight or obese T1D patients underwent abdominal ultrasonography and hepatic elastography to assess NAFLD and liver stiffness. Clinical, anthropometric, and laboratory data were collected for all patients.
Results
MetS was present in 44% of T1D patients and 98% of T2D patients (p < 0.001). The 5-year CVR was similar between the groups, but the 10-year CVR was significantly higher in T2D patients (12% vs. 6%, p < 0.01). T1D patients with MetS showed higher CVR, poorer glycemic control, and more microvascular complications. NAFLD was diagnosed in 64.1% of T1D patients, with 8% exhibiting significant liver fibrosis. Liver stiffness correlated positively with BMI (r = 0.496, p = 0.026).
Conclusion
The findings highlight the growing concern of MetS and NAFLD in T1D patients, particularly in the context of rising obesity. Routine screening for NAFLD and CVR in T1D patients, especially those with metabolic risk factors, is crucial for preventing long-term complications.
Characterization of the response of Negative Air Ions released by green tree species to temperature based on Open Top Chamber
Authors: Li Shaoning , Chen Mingxia , Liu Xueqiang , Li Bin , Zhao Na , Xu Xiaotian , Lu Shaowei
Published: January 2025

This study aimed to investigate the effect of environmental factors on the release of Negative Air Ions (NAI) by various green tree species. An open-top chamber (OTC) control experiment focusing on temperature was conducted using typical gardening tree species found in Beijing, including Acer truncatum, Sophora japonica, Pinus bungeana, and Pinus tabuliformis. The effect of temperature on the NAI release ability of green tree species was evaluated using five "capacity indicators": NAI release contribution (L), release coefficient (n), release rate (s), instantaneous present amount (v), and total release amount (Z). The effect of temperature on NAI release was clearly defined. When humidity and light intensity were unchanged, L, n, s, v, and Z tended to increase with the temperature gradient (25℃–35℃), and the five "capacity indicators" peaked when the temperature was 35℃. There was a significant positive correlation between the release of NAI and temperature, in the following order: Acer truncatum (R2 = 0.84) > Sophora japonica (R2 = 0.56) > Pinus bungeana (R2 = 0.47) > Pinus tabuliformis (R2 = 0.37). This study elucidates the independent effects of temperature on NAI release in various tree species and provides a scientific basis for tree species allocation, forest health management, and urban green space planning.
Faculty development in health professions: a bibliometric analysis
Authors: Oliveira Luciana Butini , Pereira César Antonio , Lunardelli Adroaldo
Published: January 2025

Best practices in faculty development are fundamental to academic excellence in the health professions. Faculty members should have the knowledge, skills and attitudes to contribute to quality education in the health professions. The aim of this study was to systematically map the literature on faculty development in the health professions, conducting a bibliometric review. PubMed, Scopus and Web of Science were searched, using predefined keywords. The systematic mapping included the following indicators: time distribution, journals, authors and countries with the highest number of articles. The most common themes were represented in word clouds. Initially, 15,538 records were retrieved and 224 articles were included. The time analysis revealed a upward trend in the publication of articles on the topic (1977 to 2023). Scientific production is unevenly distributed across journals and countries. The United States has the most articles (n = 208), followed by Canada (n = 20), Australia (n = 19) and the United Kingdom (n = 9). There is also little collaboration between authors, although there is great diversity in thematic areas. Research indicates that priority is given to teacher development as a predominant factor in health education, demonstrating concern for the quality, efficacy, and effectiveness of health education.
Ratchet Effect and Current Reversal in an Underdamped Inhomogeneous Periodic Potential System
Authors: Iawphniaw Francis , Saikia Shantu
Published: January 2025

This work investigates the stochastic dynamics of particles in an underdamped periodic potential system with spatially varying friction. The system demonstrates ratchet effect, where particles exhibit directed motion without any obvious external bias, utilizing energy from random fluctuations. The particles also are able to work againsts an externally applied load. Notably, the particles display current reversals for optimum range of parameters. These phenomena are characterized and analyzed, highlighting their dependence on the different system parameters. Theese findings can have significant implications for micro - and nanoscale applications, such as particle separation and transport in microfluidic devices.
Enhancing Innovation Through International University-Industry Collaboration: Evidence from Panel Data Analysis
Authors: Fujiwara Ayano
Published: January 2025

This study empirically analyzes the impact of university-industry collaboration and job mobility on researchers' performance. It examines the changes in the effect of collaboration over time, compares the impacts of domestic and international collaborations, and assesses how job mobility influences innovation activities. Using Interrupted Time Series (ITS) analysis with panel data, the study finds that collaboration has a significant positive effect on researchers' performance, especially immediately after the collaboration, though this effect diminishes over time. International collaboration shows a stronger effect than domestic collaboration, as cross-cultural cooperation enhances performance through knowledge spillovers. Researchers with job mobility show higher increases in patent filings, and their collaboration with industry further amplifies performance improvements. These findings highlight the importance of promoting both domestic and international collaborations and supporting career mobility in researchers' development.
G2PDeep-v2: a web-based deep-learning framework for phenotype prediction and biomarker discovery for all organisms using multi-omics data
Authors: Zeng Shuai , Adusumilli Trinath , Awan Sania Zafar , Imm Manish Sridhar , Xu Dong , Joshi Trupti
Published: January 2025

The G2PDeep-v2 server is a web-based platform powered by deep learning, for phenotype prediction and markers discovery from multi-omics data in any organisms including humans, plants, animals, and viruses. The server provides multiple services for researchers to create deep-learning models through an interactive interface and train these models using an automated hyperparameter tuning algorithm on high-performance computing resources. Users can visualize the results of phenotype and markers predictions and perform Gene Set Enrichment Analysis for the significant markers to provide insights into the molecular mechanisms underlying complex diseases, conditions and other biological phenotypes being studied. The G2PDeep-v2 server is publicly available at https://g2pdeep.org/ and can be utilized for all organisms.
Effects of Various Chemical Activation Agents on the Properties of Activated Carbon Derived from Waste Olive Stones
Authors: Seçkin İsmail Yiğit
Published: January 2025

In this study, six different activated carbons were synthesized from olive stones using various activating agents, including acidic (H3PO4, H2SO4), basic (NaOH, KOH), and neutral (CaCl2, ZnCl2) agents. These agents were used in a two-step pyrolysis process (carbonization-activation) to produce activated carbons. The activation process was carried out with a 1:1 impregnation ratio, 2-hour activation time, and 750°C activation temperature under an inert atmosphere. The effects of the activating agents on the properties of the activated carbons were analyzed using product yield (%), pHpzc, Ftır spectra, elemental analysis, N2 adsorption, Raman spectroscopy, and scanning electron microscopy. The results of the analysis showed that the properties of the activated carbons depended on the classification of the activating agent used. The pHpzc, surface area, and pore volume of the activated carbons were found to be higher for acidic and neutral activating agents compared to basic activating agents. The highest BET surface area was achieved with H2SO4 activation at 532.34 m2/g, and the highest pore volume values were obtained with H2SO4 and CaCl2 activations at 0.97 cm3/g. The findings indicated that the chemical composition of the activating agents is more important than their classification in influencing the properties of activated carbons.
Research on the method of expanding the mineralization data based on generative adversarial networks
Authors: Li Biyi , Kong Chunfang , Xu Kai , Zhao Jie
Published: January 2025

In the domain of mineral resource exploration, a pronounced imbalance often exists between the number of mineralized samples and the number of samples that are found to be non-mineralized. To address this imbalance, this paper proposes an AC-CTGAN method for expanding mineralized samples based on generative adversarial networks, utilising the northeast Guizhou manganese mining area as a case study. The findings of the research demonstrate that the data generated by AC-CTGAN exhibits excellent performance in terms of spatial distribution and bears a strong resemblance to the feature distribution of real data. The average cross-validation accuracy of the prediction model trained using the expanded dataset is improved by 8\%, and the prediction ability of the model is significantly enhanced.
Examining the cut-off score of the English B1 progression exam according to different standard setting methods
Authors: Kaya Rümeysa , Çetin Bayram
Published: January 2025

In this study, the cut-off scores obtained from the Angoff, Angoff Y/N, Nedelsky and Ebel standard methods were compared with the 50 T score and the current cut-off score in various aspects. Data were collected from 448 students who took Module B1+ English Exit Exam IV and 14 experts. It was seen that while the Nedelsky method gave the lowest cut-off score, Angoff Y/N method gave the highest cut-off score. The z test was used to determine the difference between the percentages of students who were considered successful according to the methods, and all z values were found to be significant. The classification of students according to their achievement status was examined with the Cohen's Kappa test. Spearman Brown Rank Differences Correlation coefficient was calculated to examine the relationship between the MPSs of the experts according to the methods, and the highest correlation was found between the Angoff-Ebel methods. Wilcoxon test was used to examine the significance of the difference between the MPS of the methods. Because of the test, the difference between Angoff-Nedelsky, Angoff-Ebel, Angoff Y/N-Nedelsky and Nedelsky-Ebel methods was found to be significant. Among the expert decisions, it was seen that there was a moderate level of agreement in the Angoff, and a high level of agreement in the Ebel and Nedelsky methods. A significant difference was found between the current cut-off score, the 50 T score, and the percentages of students considered successful according to the methods.
Validity and reliability of the breast cancer comfort assessment scale in palliative care
Authors: Yöntem Ölmez Rahime , Özen Çınar İlgün
Published: January 2025

Breast cancer is a disease that requires palliative care and comfort. The current study aimed to adapt the scale used to assess the comfort level of breast cancer patients receiving palliative care, for the Turkish population, and to contribute to the literature. A total of 340 breast cancer patients who were registered at a university hospital's oncology outpatient clinic, received therapy, and returned for follow-up were included in the study. Data were collected using the Introductory Information Form, Comfort Assessment Breast Cancer Instrument, and General Comfort Scale short form. The International Testing Commission Guide's (2018) suggestions were applied during the scale's modification procedure. The scale's Kaiser Meyer Olkin value was 0.78, and 4454.53 was the Barlett's test result. Fit indices for the confirmatory factor analysis were CFI=0.885, GFI=0.927, and χ²/df=2.612. The scale's Spearman-Brown correlation value is 0.78, and its Cronbach's alpha coefficient is 0.85. The Comfort Assessment Breast Cancer Instrument's Turkish version provides a reliable and valid tool for assessing the comfort of breast cancer patients. The use of it can help determine the comfort level of breast cancer patients receiving palliative care and inform the development of interventions and care practices throughout each stage of the disease.
How valid and reliable are teachers’ assessments of gifted students?
Authors: Arkan Sümeyye , Tan Sema
Published: January 2025

Teachers' perceptions, attitudes, and opinions about students, curricula, or evaluation methods contribute to the development of students’ talents. Thus, researchers often collect data from teachers to identify gifted students, determine educational practices to meet the students’ needs and assess gifted education programs. Researchers often develop measurement tools or utilize existing ones to collect valid and reliable data from teachers. This systematic literature review screened online databases to investigate measurement tools for teachers developed from 2017 to 2024. We combined the keywords “scale”, “instrument”, “questionnaire”, “inventory”, “gifted,” and "teacher" to screen Web of Science (WoS) and Scopus databases. We categorized the measurement tools based on their intended use and analyzed seventeen instruments across themes including identification/nomination, attitude-behavior-perception, and knowledge and opinion. Nearly half of these studies employed exploratory or confirmatory factor analysis for construct validity, although some relied on the more superficial face validity. Overall, the studies demonstrated high reliability and validity, but simple analyses should be repeated to further enhance the robustness of measurement instruments.
Artificial intelligence as an automated essay scoring tool: A focus on ChatGPT
Authors: Uyar Ahmet Can , Büyükahıska Dilek
Published: January 2025

This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners’ essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion essays written by 10 EFL learners at the B2 level. Human raters and ChatGPT (4o mini version) scored the essays using the International English Language Testing System (IELTS) TASK 2 Writing band descriptors. Adopting a quantitative approach, the Wilcoxon signed-rank tests and Spearman correlation tests were employed to compare the scores generated, revealing a significant difference between the two methods of scoring, with human raters assigning higher scores than ChatGPT. Similarly, significant differences with varying degrees were also evident for each of the various types of essays, suggesting that the genre of the essays was not a parameter affecting the agreement between human raters and ChatGPT. After all, it was discussed that while ChatGPT shows promise as an AES tool, the observed disparities suggest that it has not reached sufficient proficiency for practical use. The study emphasizes the need for improvements in AI language models to meet the nuanced nature of essay evaluation in EFL contexts.
The Relation Between Self-differentiation and Parenting Behavior for Mothers with Middle School Students: The sequential mediating effects of parenting stress and resilience
Authors:   Korean Assoc Fam Ther, Kim Eun-Mi , Song Ji-Sook
Published: January 2025

Objectives: This study was conducted to confirm the sequential mediating effects of parenting stress and resilience in the relationship between self-differentiation and parenting behavior of mothers with children in middle school. Methods: A Google survey was conducted in March 2024 on 501 mothers of children in middle school residing across the country, and 501 copies were used for analysis. Results: Parenting stress showed a complete mediating effect in the relationship between mother’s self-differentiation and parenting behavior, whereas resilience showed a partial mediating effect in this relationship. Further, a sequential mediating effect of parenting stress and resilience in the relationship between mother’s self-differentiation and parenting behavior was also found. Conclusions: These findings are significant in that they present useful data and evidence to help mothers who complain of difficulties in raising middle school students; and based on this, the direction of parental education programs and counseling intervention methods are suggested.
Implications of Biomaterials for Chronic Wounds
Authors: Barbu (Becherescu) Virginia-Silviana , Gaboreanu Madalina-Diana , Marinas Ioana Cristina , Paun Andra-Maria , Ionel Ileana Paula , Avram Speranta
Published: January 2025

The use of biomaterials in treating and managing chronic wounds represents a significant
challenge in global healthcare due to the complex nature of these wounds, which are slow to heal
and can lead to complications such as frequent infections and diminished quality of life for patients.
Chronic wounds, which can arise from conditions like diabetes, poor circulation, and pressure sores,
pose distinct challenges in wound care, necessitating the development of specialized dressings. The
pathophysiology of chronic wounds is thoroughly examined in this article, with particular attention
paid to the cellular and molecular defects at work and the therapeutic guidelines. It also identifies
key issues in the field, such as biocompatibility, cost-effectiveness, immune reactions, and regulatory
obstacles, while suggesting future research focuses on improving biocompatibility, integrating
drug delivery systems, and exploring cellular treatments. Ethical implications, such as patient safety,
informed consent, and equitable access to technology, are also discussed. Finally, this review highlights
the transformative potential of biomaterials in chronic wound management, urging for continued
research and clinical integration to fully harness their capabilities in improving patient care.
Prognostic Value of Serum TMAO Measurement in Patients with STEMI:
A Systematic Literature Review
Authors: Vakadaris Georgios , Korovesis Theofanis , Balomenakis Charalampos , Papazoglou Andreas S , Papadakos Stavros P , Karniadakis Ioannis , Moysidis Dimitrios V , Arvanitakis Konstantinos , Germanidis Georgios , Brilakis Emmanouil S. , Milkas Anastasios
Published: January 2025

Background:

Gut microbiota-derived metabolite Trimethylamine-N-oxide (TMAO) is
increasingly recognized as a potential novel prognostic biomarker for cardiovascular disease. Our
research work aimed to investigate the potential utility of TMAO measurement in patients with STelevation
Myocardial Infarction (STEMI).

Methods:

We performed a systematic literature search in PubMed from inception to the 1st of February
2024 to identify all studies examining the association between plasma TMAO levels and disease
complexity or clinical outcomes in STEMI patients.

Results:

A total of eight prospective cohort studies were included, encompassing a total of 2,378
STEMI patients. Three of the studies provided only in-hospital evidence (i.e., increased odds for
more severe coronary artery disease, plaque rupture, and plaque healing in patients with increased
TMAO levels). Four studies examined the long-term prognostic value of TMAO after 10-12 months
of follow-up post-STEMI (i.e., increased risk of adverse cardiovascular events in patients with increased
TMAO levels), while one study provided data for both in-hospital and mid-term prognosis,
indicating that 4-months after STEMI patients with greater TMAO elevation had larger infarct size.

Conclusion:

Higher TMAO levels were associated with a greater prevalence of high-risk coronary
plaque characteristics and worse in-hospital and follow-up outcomes in STEMI patients. Further
study is needed on whether modulating the diet-dependent TMAO levels could improve clinical outcomes
in these patients.

Registration Number:

[(OSF): https://doi.org/10.17605/OSF.IO/WNG8V]
FORMULATION DEVELOPMENT AND PHARMACOKINETIC STUDIES OF NIRMATRELVIR LOADED SOLID LIPID NANOPARTICLES USING BOX-BEHNKEN DESIGN
Authors: M. SRI REKHA , S. SANGEETHA
Published: January 2025

Objective: This study aims to develop a new lipid formulation known as Solid Lipid Nanoparticles (SLNs) to increase the oral bioavailability of Nirmatrelvir (NMT) by facilitating intestinal lymphatic transport. Nirmatrelvir is a crucial antiviral agent utilized for the treatment and prophylaxis of Coronavirus disease 2019 (COVID-19).
Methods: Nirmatrelvir loaded solid lipid nanoparticles (NMT-SLNs) were formulated using the microemulsion technique with compritol 888 ATO, and the optimization of lipid and surfactant concentrations, as well as homogenization time, was achieved through the box-behnken design. The resulting NMT-SLNs underwent evaluation for percentage entrapment efficiency, Particle diameter, Zeta potential, Polydispersity index (PDI), and In vitro drug release studies.
Results: Optimized formulation (NF8), yielded a particle of 183.26±2.12 nm size with a narrow distribution of 0.071±0.004PDI, negative zeta potential of-24.63±1.92 mV, percent entrapment of 86.94±2.08%, and cumulative drug release of 84.42±3.16% over 24 h. Furthermore, solid-state characterization by PXRD, surface morphology assessment by SEM, and an in vivo distribution study employing albino wistar rats were conducted. The findings demonstrated a 10.14-fold increase in relative bioavailability and an 85% enhancement in brain uptake compared to pure NMT solution following oral administration.
Conclusion: This research highlights the potential advantages of solid lipid nanoparticles (SLNs) in enhancing the oral delivery of nirmatrelvir. finally, the study concluded that SLNs serve as a promising vehicle for improving bioavailability and facilitating effective brain delivery.
DEVELOPMENT AND ASSESSMENT OF A SELF-NANOEMULSIFYING DRUG DELIVERY SYSTEM FOR ENHANCED SOLUBILITY OF DASATINIB
Authors: BANGERA PRAGATHI DEVANAND , SHUKLA EESHA , KARA DIVYA DHATRI , ROYCHOWDHURY RAJESHWARI , KEERIKKADU MAHESHA , TIPPAVAJHALA VAMSHI KRISHNA , RATHNANAND MAHALAXMI
Published: January 2025

Objective: The objective of this study was to increase the water solubility of Dasatinib (DAS) by incorporating it into a Self-Nano Emulsifying Drug Delivery System (SNEDDS). Dasatinib, a Biopharmaceutics classification system (BCS) class II drug, has poor solubility in aqueous media, affecting its oral bioavailability. Various oils, surfactants, and co-surfactants were chosen based on solubility tests, with the highest solubility selected.
Methods: Various compositions of oils, surfactants and co-surfactants with Smix concentrations as 1:1, 1:2 and 2:1 and there were 9 formulations under each of these groups with Oil: Smix concentrations of 1:9, 2:8, 3:7, 4:6, 5:5, 6:4, 7:3, 8:2 and 9:1. Capmul MCM, Cremophor EL, and Tween 20 were selected as oil phase, surfactant, and co-surfactant, respectively. A pseudo-ternary phase diagram using the water titration technique optimized the nano-emulsification ratio. The optimized formulation was characterized and evaluated for thermodynamic stability, cloud point measurement, zeta potential, Poly dispersity Index (PDI), globule size, percent transmittance, robustness to dilution, and dissolution studies.
Results: Transmittance of 95% was demonstrated by the formulation, indicating transparency and stability. The zeta potential was over 30 mV, indicating strong electrical stability, and the average globule size was measured to be 85 nm. The formulation was shown to be stable at body temperature, as evidenced by the cloud point being reported above 95 °C. The formulation maintained its stability when diluted in water, 0.1N acid, and phosphate buffer. The formulation contained 85% of the dasatinib, according to the drug content study. The optimized SNEDDS formulation significantly increased drug release in in vitro drug release experiments as compared to the pure medication. The oral bioavailability of dasatinib in the SNEDDS formulation was shown to be 3.24 times higher than that of the pure medication, according to in vivo pharmacokinetic tests.
Conclusion: Consequently, the findings indicated that the formulation of dasatinib SNEDDS functions as a means of achieving increased drug loading, better dissolving profiles, and increased bioavailability for the BCS Class II drug dasatinib.
MOLECULAR DOCKING INSIGHTS INTO PROBIOTICS AS POTENTIAL INHIBITORS OF THE PI3K PATHWAY FOR COLON CANCER THERAPY
Authors: BAQI MOHD ABDUL , JAYANTHI KOPPULA , RAJESHKUMAR RAMAN
Published: January 2025

Objective: This study investigates the interactions of probiotics-derived bacteriocins with Phosphoinositide 3-kinases (PI3Ks), a key enzyme involved in cell growth and survival pathways, with a focus on the cancer-associated PI3K pathway (PDB ID: 1E8X). The aim is to explore the anti-cancer potential of these bacteriocins as inhibitors of the PI3K catalytic subunit.
Methods: Using the Glide module, the study first involved molecular docking of bacteriocins. Next, an Absorption, Distribution, Metabolism, and Excretion (ADME) study was conducted using Qikprop. The Prime Molecular Mechanics Generalised Born Surface Area (MM-GBSA) method was used to calculate binding free energy.
Results: Five bacteriocins demonstrated significant binding affinity and interactions, including hydrogen and hydrophobic bonds, with key residues such as Tyr867, Trp812, Asp950, Asn951, Lys802, Lys890, Lys833, Val882, Ser806, Thr886, and Gln893 in the PI3K catalytic subunit (PDB ID: 1E8X). Among these, Plantaricin D exhibited an excellent XP-docking score of-7.47 kcal/mol, indicating strong binding potential. Prime MM-GBSA analysis revealed promising binding affinities with ΔBind (-92.85 kcal/mol), ΔLipo (-65.81 kcal/mol), and ΔVdW (-47.34 kcal/mol). The ligand consistently interacted with residues Asp950, Lys890, Gln893, Ser894, Thr887, Ala885, Tyr757, Asp758, Lys802, and Val759.
Conclusion: Plantaricin D bacteriocin, characterized by functional groups including the primary amine (NH₂), carbonyl (C=O), hydroxide (OH), and oxygen (O), demonstrates significant potential as a PI3K inhibitor. This suggests its promising application as an anti-cancer agent, particularly for colon cancer.
MOLECULAR DOCKING INSIGHTS INTO PROBIOTICS SAKACIN P AND SAKACIN A AS POTENTIAL INHIBITORS OF THE COX-2 PATHWAY FOR COLON CANCER THERAPY
Authors: BAQI MOHD ABDUL , JAYANTHI KOPPULA , RAJESHKUMAR RAMAN
Published: January 2025

Objective: This study aims to explore the interactions between probiotics-derived bacteriocins and the COX (cyclooxygenase) pathway, particularly focusing on the cancer-associated COX-2 (cyclooxygenase-2) enzyme (PDB ID: 6COX). The goal is to assess the potential of these bacteriocins as inhibitors of COX-2, investigating their possible anti-cancer effects through modulation of this key enzyme involved in cell growth and survival pathways.
Methods: Using the Glide module, the study first involved the molecular docking of bacteriocins. Next, an Absorption, Distribution, Metabolism, and Excretion (ADME) study was conducted using Qikprop. The Prime Molecular Mechanics Generalised Born Surface Area (MM-GBSA) method was used to calculate binding free energy.
Results: Four bacteriocins demonstrated significant binding affinity and interactions, including hydrogen and hydrophobic bonds, with key residues such as Tyr385, Ser530, Tyr355, Arg120, Phe518, and Leu352, in the associated COX-2 enzyme(PDB ID: 6COX). Among these, Sakacin P exhibited an excellent XP-docking score of-6.73 kcal/mol, indicating strong binding potential. Prime MM-GBSA analysis revealed promising binding affinities with ΔBind (-90.85 kcal/mol), ΔLipo (-64.81 kcal/mol), and ΔVdW (-46.34 kcal/mol). The ligand consistently interacted with residues Tyr355, and Arg120.
Conclusion: Sakacin P bacteriocin, characterized by functional groups including the primary amine (NH₂), and oxygen (O), demonstrates significant potential as a COX-2 enzyme inhibitor. This suggests its promising application as an anti-cancer agent, particularly for colon cancer.
ULTRA-FAST SYNTHESIS OF CURCUMIN-LOADED SILVER NANOPARTICLES: IMPROVED PHYSICOCHEMICAL PROPERTIES FOR DRUG DELIVERY
Authors: LI CHONG XUE , ELHASSAN GAMAL OSMAN , ABDOUN SIHAM A. , KHAN RIYAZ AHMED , GOYAL MANOJ , BANSAL MONIKA , MOHAMED JAMAL MOIDEEN MUTHU
Published: January 2025

Objective: This study focused on the green synthesis of silver nanoparticles (AgNPs) using fresh garlic extract (Allium sativum-AS) as a reducing agent for the efficient delivery of curcumin (CuR), a natural anti-cancer agent used in breast cancer therapy.
Methods: The study began with the preparation of fresh AS, which was then mixed with silver nitrate (AgNO₃) solution and CuR solution under sunlight for the green synthesis of stable CuR-loaded nanoparticles (C-AgNPs). This method not only offered an eco-friendly approach to the synthesis of C-AgNPs but also highlighted the potential physicochemical characterization of AS and CuR in this context. Moreover, this study assesses the characteristics of the resulting C-AgNPs and conducts a comparative analysis with different formulations to evaluate their efficacy.
Results: The prepared C-AgNPs, characterized by Fourier-Transform Infrared Spectroscopy (FTIR), indicated that CuR, silver nitrate (AgNO₃), and AS extract were successfully incorporated, confirming the successful synthesis. The optimized preparation, referred to as AgNP1, demonstrated an entrapment efficacy of 74.24±5.87%, a drug loading of 95.99±7.81%, and a drug content of 96.11±7.82%. Additionally, the cumulative percentage of drug release was found to be 57.12±2.76% at 180 min. The drug was successfully loaded into the C-AgNPs, exhibiting physicochemical compatibility without any adverse chemical interactions with the additives used.
Conclusion: In conclusion, this study demonstrated that nanoparticle-based drug delivery systems offer a significant advancement over conventional therapies by providing controlled and efficient drug delivery, thereby improving therapeutic outcomes.
BIO ANALYTICAL METHOD DEVELOPMENT AND VALIDATION OF FLUPENTIXOL AND NORTRIPTYLINE HCL IN RAT PLASMA AND ITS PHARMACOKINETIC STUDIES BY LCMS
Authors: VISALAKSHAMMA V. , RAMUDU B. SRI , SHARIF SYED. KHASIM , BHARATH P. , RAMACHANDRAN D. , RAO P. T. S. R. K. PRASADA , RAO K. PRASADA
Published: January 2025

Objective: An easy, quick, precise, active and reproducible Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) technique was developed for the bio-analytical method of flupentixol and nortriptyline HCl using zuclopenthixol as Internal Standard (IS).
Methods: This article summarizes the recent progress on bio-analytical LC-MS/MS methods using Luna Phenyl Hexyl column (250x4.6 mm, 5µ) and organic mobile phase of Ammonium acetate pH-3.0/Formic acid and Acetonitrile in 70:30 v/v. 5 min of run time was used in the analysis.
Results: The calibration curve was linear in the range of 5.0ng/ml to 200.0ng/ml (r2= 0.99988±0.006) for nortriptyline HCl and 0.25ng/ml to 10.0ng/ml (r2=0.99972±0.007) for flupentixol. Matrix effect, recovery and stability results were within the acceptable limit. An electrospray ionization source was used to study of nortriptyline HCl, flupentixol at m/z 300.8471 →73.2501, m/z 435.5225→103.4247 and m/z 400.9657→142.0087 for zuclopenthixol were ion pairs of mass analysis.
Conclusion: The application denotes all the parameters of system suitability, specificity, linearity and accuracy are in good agreement with United States Food and Drug Administration (USFDA) guidelines and applied effectively for the investigation of pharmacokinetic studies in rat.
Waste Landscapes and Poetic Renewal in Modernist Poetry
Authors: V Tanika Rajeswari
Published: January 2025

This paper examines how Modernist poetry addresses ‘waste landscape’ or ‘waste’ as both a theme and aesthetic device, revealing a ‘waste management’ re-negotiation with the content and form of the poetry. I investigate how a complex renegotiation presented ‘waste’ under the new forms of meaning and knowledge. Through various kinds of bolder rearrangements made by the modernists, the waste landscapes are fixed into a new jigsaw, of an exteriorized other ‘self.’ I analyse the works of T.S. Eliot, Ezra Pound, Marianne Moore, H.D., Hart Crane, William Carlos Williams, and Wallce Stevens, to befittingly re-read into these waste landscapes.
Hacer Nación: una derecha radical española metainstitucional y municipalista. La construcción de una subalternidad indignada y la creación de climas emocionales
Authors: Hernández Reyes David
Published: January 2025

El presente trabajo tiene como objetivo presentar un análisis acerca de cómo Hacer Nación es un movimiento político con una clara tendencia a construir una subalternidad indignada, es decir, un sentimiento de subordinación y subyugación que pretende victimizar al pueblo español y denunciar los males que le aquejan, así como los supuestos responsables (el gobierno, las élites internacionales, los inmigrantes, la ideología progresista, el movimiento separatista). Para ello, inicia con un ejercicio de rastreo e indagación digital se presenta la historia y el contexto en los cuales surge dicho movimiento. Aunado de un apoyo de la literatura especializada en la ultraderecha se hizo una caracterización y un ejercicio de identificación de sus rasgos centrales
La revocación de mandato y rendición de cuentas social en las alcaldías Xochimilco y Miguel Hidalgo de la Ciudad de México en 2023
Authors: Diego Guerra Christian Octavio , Uriostegui Carlos Guadalupe Isabel
Published: January 2025

El objetivo del presente artículo es identificar la forma en la que las organizaciones de la sociedad civil utilizaron en 2023 el mecanismo de la revocación de mandato en las alcaldías Xochimilco y Miguel Hidalgo para generar rendición de cuentas social. Teniendo como principal hallazgo que el intento de revocación fue un proceso simultáneo de acción colectiva y de la utilización de mecanismos formales promovidos por una sociedad civil organizada que exigían mayor democracia, más transparencia, y la garantía de sus derechos políticos. Asimismo, por medio del análisis de la simultaneidad de la rendición de cuentas social se identificaron las barreras de tipo normativo y político que presenta el mecanismo de revocación para posibilitar una participación plena
Deep-learning framework for state of charge (SoC) estimation of electric vehicle batteries using a Pynq board
Authors: Vijaya Krishna V. V. S. , Pappa N. , Joy Vasantha Rani S. P.
Published: January 2025

In recent years, carbon emissions are increasing worldwide due to excessive usage fossil fuels. To overcome these emissions, lithium-ion (Li-ion) batteries have become more prominent alternative. Li-ion batteries are used as primary component of energy storage systems for sustainable energy in response to rising global carbon gases. Battery Management System (BMS) in Electric Vehicles (EVs) is an important aspect and is indicated by two parameters called State of Charge (SoC) and State of Health (SoH). Of these two, SoC value is related to energy distribution, charging and discharging of batteries. Hence Estimating SoC value is of high important in BMS for optimum usage of batteries. Recent trends in Artificial Intelligence and Deep Learning provides a way for new developments in algorithms for estimating SoC. At the same time, the use of programmable devices like Field Programmable Gate Arrays (FPGAs) for data processing applications provides acceleration in time and optimal use of hardware. Pynq boards which are Zynq dependent and one variant of FPGAs are capable of executing python programs directly on hardware. This paper focuses on developing different DNN architectures for estimating SoC of a Li-ion battery of an EV and realizing on Pynq Z2 board.