bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tailoring of Gelatin-Chitosan Nanofibers Functionalized with Eucalyptus Essential Oil via Electroblowing for Potential Food Packaging and Wound Dressing Applications
Authors: Elomar Zeyne , Eticha Andinet Kumella , Doğan Nurcan , Akgul Yasin , Doğan Cemhan 
Published: June 2024

AbstractIn recent years, new approaches to fabricating nanofiber networks for potential applications in wound dressing and food packaging have been in the spotlight. This study aimed to produce functional webs based on gelatin, chitosan, and eucalyptus essential oil using the electro-blowing method instead of traditional spinning methods such as electrospinning. The resultant nanofiber webs exhibit promising morphological characteristics, including reduced fiber diameters, enhanced air permeability, and improved thermal stability. The integration of chitosan and eucalyptus essential oil overcomes limitations associated with gelatin, offering enhanced mechanical properties, antibacterial efficacy, and potential attributes for wound healing and food packaging. The combination of gelatin and chitosan contributes to biodegradability and biocompatibility, crucial for developing materials compatible with the natural environment. The addition of eucalyptus essential oil provides an additional layer of antimicrobial protection, aligning with sustainability goals in wound care and active food packaging. A comprehensive analysis encompassing SEM morphologies, fiber diameters, air permeability, FTIR spectra, TGA thermograms, and contact angle measurements establishes a thorough understanding of the fabricated nanofiber webs’ characteristics. Despite the favorable properties exhibited by the developed nanofiber webs for wound healing and food packaging applications, the incorporation of eucalyptus essential oil resulted in a reduction in tensile strength and elongation ratios. This observation highlights the necessity for further optimization and fine-tuning of the formulation to strike a balance between antimicrobial benefits and mechanical properties. Distinguished by its unique combination of gelatin, chitosan, and eucalyptus essential oil, this research contributes to the advancement of nanofiber technology, expanding knowledge in the field and paving the way for the development of advanced materials with enhanced therapeutic properties for wound healing and food packaging.
Graphical Abstract
Emerging drugs in breast cancer: a focus on antibody–drug conjugates and novel treatment options in luminal disease
Authors: Bartsch Rupert 
Published: June 2024

SummaryRecent years have seen the introduction of several new drugs and novel treatment approaches in early and advanced-stage breast cancer, leading to relevant improvements in outcome. Still, further reduction of recurrence risk in high-risk early breast cancer is required as is further improvement of disease control in metastatic disease, preferentially with parallel improvement of tolerability. Several antibody–drug conjugates are currently under clinical development, among them drugs targeting HER2, HER3 and TROP2; in addition, bispecific HER2-directed antibodies are a promising class of drugs. In hormone receptor-positive disease, optimizing treatment options in patients progressing on prior CDK4/6-inhibitor-based therapies is a focus of clinical research and recent developments encompass small molecule growth-factor pathway inhibitors such as the AKT inhibitor capivasertib, novel PIK3Ca inhibitors such as inavolisib as well as selective oestrogen receptor degraders and modulators. This article is intended as a short review of promising novel drugs in later clinical development in the field of breast cancer.
Exosomal lncRNA SNHG12 promotes angiogenesis and breast cancer progression
Authors: Chen Yan , Zhou Yuxin , Chen Jiafeng , Yang Jiahui , Yuan Yijie , Wu Weizhu 
Published: June 2024

Abstract
Objective
Breast cancer is one of the most prevalent malignancies in women. Exosomes are important mediators of intercellular communication; however, their regulatory mechanisms in human umbilical vein endothelial cells (HUVECs) angiogenesis in breast cancer remain unknown.

Methods
We isolated and characterized breast cancer cell-derived exosomes and investigated their functions. Exosomal sequencing and the TCGA database were used to screen long non-coding RNA (lncRNA). In vitro and in vivo experiments were performed to investigate the role of exosomal lncRNA in HUVEC angiogenesis and tumor growth. Molecular methods were used to demonstrate the molecular mechanism of lncRNA.

Results
We demonstrated that breast cancer cell-derived exosomes promoted HUVEC proliferation, tube formation, and migration. Combining exosomal sequencing results with The Cancer Genome Atlas Breast Cancer database, we screened lncRNA small nucleolar RNA host gene 12 (SNHG12), which was highly expressed in breast cancer cells. SNHG12 was also upregulated in HUVECs co-cultured with exosome-overexpressed SNHG12. Moreover, overexpression of SNHG12 in exosomes increased HUVEC proliferation and migration, whereas deletion of SNHG12 in exosomes showed the opposite effects. In vivo experiments showed that SNHG12 knockdown in exosomes inhibited breast cancer tumor growth. Transcriptome sequencing identified MMP10 as the target gene of SNHG12. Functional experiments revealed that MMP10 overexpression promoted HUVEC angiogenesis. Mechanistically, SNHG12 blocked the interaction between PBRM1 and MMP10 by directly binding to PBRM1. Moreover, exosomal SNHG12 promoted HUVEC angiogenesis via PBRM1 and MMP10.

Conclusions
In summary, our findings confirmed that exosomal SNHG12 promoted HUVEC angiogenesis via the PBRM1-MMP10 axis, leading to enhanced malignancy of breast cancer. Exosomal SNHG12 may be a novel therapeutic target for breast cancer.
A 10-Week School-Based Mindfulness Intervention and Symptoms of Depression and Anxiety Among School Children and Adolescents: A Controlled Study
Authors: Areskoug Sandberg E. , Stenman E. , Palmer K. , Duberg A. , Sundquist J. , Sundquist K. 
Published: June 2024

AbstractMental health problems are increasing among children and adolescents. School-based mindfulness interventions are gaining popularity worldwide and may be a way to decrease depression and anxiety symptoms in students. However, before introducing large-scale mindfulness interventions in school settings, more research is needed on feasible, easily applicable practices that are possible to fit in the school schedule. In this controlled intervention study, a total of 1399 students aged 9–16 were included. The 10-week classroom-based mindfulness intervention comprised daily, brief mindfulness sessions led by schoolteachers or via audio files. Symptoms of depression and anxiety were evaluated with Beck scales prior to and after the intervention. In addition to whole group analyses, subgroup analyses on age, sex as well as mode of delivery were performed. ClinicalTrials.gov ID: NCT03327714. No significant differences between the intervention and control group in change of depression or anxiety symptoms after the intervention were detected. However, the subgroup of students who received teacher-led mindfulness sessions (16%) had a significant decrease of depression and anxiety symptoms after 10 weeks compared to those who received the sessions via audio files. Brief mindfulness sessions on daily basis did not have any detectable overall effect on depression and anxiety symptoms among schoolchildren. Our findings do not support an introduction of large-scale mindfulness interventions in schools although the potential influence of mode of delivery needs to be further examined.Clinical trial registration The study was registered at ClinicalTrials.gov (identifier: NCT03327714).
Subsample Selection Methods in the Lake Management
Authors: Koski Vilja , Kärkkäinen Salme , Karvanen Juha 
Published: June 2024

AbstractThe problem of subsample selection among an enormous number of combinations arises when some covariates are available for all units, but the response can be measured only for a subset of them. When estimating a Bayesian prediction model, optimized selections can be more efficient than random sampling. The work is motivated by environmental management of aquatic systems. We consider data on 4360 Finnish lakes and aim to find an approximately optimal subsample of lakes in the sense of Bayesian D-optimality. We study Bayesian two-stage selection where the choice of lakes to be measured at the second stage depends on the measurements carried out at the first stage. The results indicate that the two-stage approach has a modest advantage compared to the single-stage approach.
Design and Nonlinear Dynamic Response of a Steel Stack
Authors: Vatansever Cuneyt , Cayir Hasim 
Published: June 2024

AbstractIndustrial stacks are built in order to reduce atmospheric pollution and release gases to the higher level of the atmosphere. Since they are high and slender structures, they are significantly affected by lateral forces, in particular, induced by winds and earthquakes. This paper aims to summarize the design principles for steel stacks given in the international standards, codes and specifications considering the evaluation of the results from the investigation on nonlinear dynamic response of a typical steel stack subjected to the earthquake. For this purpose, a typical self-supporting steel stack has been designed and its performance under earthquake and wind forces has been investigated in terms of the applied design principles, such as the displacement limit and the potential plastic deformations. The study is accomplished by using finite element models employing nonlinear time history and pushover analyses. The numerical results are presented particularly by considering the design principles used for the model. The results show that wind loads considered are more pronounced in the design of industrial steel stacks than earthquake especially in terms of limiting top displacement. The flue openings which reduce strength and lateral stiffness of the stack web is significantly effective in the lateral behavior of the stack. Moreover, the principles considered are found applicable for the design of such steel stacks. Based on the results from nonlinear time history analyses, no yielding and plastic deformation are detected along the stack.
One-pot approach biosynthesis of nisin-conjugated zinc oxide nanoparticles using Bacillus subtilis ZBP4 with improved antibacterial activity
Authors: Hamk Mohammed , Avcı Ayşe 
Published: June 2024

AbstractBiosynthesis of nisin-conjugated zinc oxide nanoparticles (N-ZnONPs) using the supernatant of Bacillus subtilis ZBP4 was demonstrated using a single-step reaction. Various amounts of nisin (5, 10, 15 mg/mL) and 8 mM ZnSO4.7H2O were reacted in the cell-free supernatant of Bacillus subtilis ZBP4 at 33 °C for 48 h. Surface plasmon resonance peaks created by N-ZnONPs were measured at 341–342 nm with a UV-VIS spectrophotometer, and the band-gap energy was calculated as 3.38 eV, indicating the nano-conjugates acted as semiconductors. Transmission electron microscopy (TEM) images showed that the N-ZnONPs were pseudo-spherical with an average diameter of 23 nm. Fourier transform infrared (FTIR) spectra analysis confirmed the presence of nisin as well as other organic substances in the structure. N-ZnONPs had potent antimicrobial activity on Escherichia coli O157:H7 and Staphylococcus aureus; the minimum inhibition concentrations were 0.05 and 1 mg/mL, respectively. In addition, conjugation with nisin increased the long-term stability of nanoparticles when compared to unconjugated ZnONPs.
Changing food choices: the option for high-protein foods and the move away from the Mediterranean diet
Authors: Vaccaro Concetta M. , Guarino Giulia , Danza Francesco , Fraulino Alessia , Bracale Renata 
Published: June 2024

Abstract
Purpose
The growing importance placed on health and physical well-being by consumers continues to influence food industry choices. The food market therefore, pandering to the desires for a lean and athletic body, offers new products deemed more healthy and able to impact body image. It is evidenced, thus, a change in food choices and habits, with more attention to the quality and nutrient content of the products consumed, in which protein is assuming increasing importance. The purpose of the study is to highlight important changes in eating habits and in particular the increase in the consumption of high-protein foods, attributable to the focus on physical fitness and thinness, resulting in a decreasing adherence to the Mediterranean diet and the progressive loss of its positive impact on health.

Methods and results
This analysis is based on CIRCANA srl data on food consumption trends (change percentage of quantity and value sales) in recent years. Specifically, between January and September 2022 vs. 2021, there was a 21.6% increase in the sale of high-protein products, significantly higher than all the previous ones.

Conclusions
The past few years have seen the gradual discovery of new products, at first little-known and niche, which are becoming major players on the national food consumption scene. The trend is toward a growing preference for high-protein foods and diets with the gradual abandonment of the Mediterranean and an increased risk of nutritional deficiencies, obesity, and cardiovascular disease.

Level of evidence
Level IV, evidence obtained from multiple time series with or without the intervention.
Thinking Inside the Bounds: Improved Error Distributions for Indifference Point Data Analysis and Simulation Via Beta Regression using Common Discounting Functions
Authors: Kim Mingang , Koffarnus Mikhail N. , Franck Christopher T. 
Published: June 2024

AbstractStandard nonlinear regression is commonly used when modeling indifference points due to its ability to closely follow observed data, resulting in a good model fit. However, standard nonlinear regression currently lacks a reasonable distribution-based framework for indifference points, which limits its ability to adequately describe the inherent variability in the data. Software commonly assumes data follow a normal distribution with constant variance. However, typical indifference points do not follow a normal distribution or exhibit constant variance. To address these limitations, this paper introduces a class of nonlinear beta regression models that offers excellent fit to discounting data and enhances simulation-based approaches. This beta regression model can accommodate popular discounting functions. This work proposes three specific advances. First, our model automatically captures non-constant variance as a function of delay. Second, our model improves simulation-based approaches since it obeys the natural boundaries of observable data, unlike the ordinary assumption of normal residuals and constant variance. Finally, we introduce a scale-location-truncation trick that allows beta regression to accommodate observed values of 0 and 1. A comparison between beta regression and standard nonlinear regression reveals close agreement in the estimated discounting rate k obtained from both methods.
Sleep Quality of Heavy Vehicles’ Professional Drivers: An Analysis Based on Self-Perceived Feedback
Authors: Faria Brigida Monica , Lopes Tatiana , Oliveira Alexandra , Pimenta Rui , Gonçalves Joaquim , Carvalho Victor , Gonçalves Marta , Reis Luis Paulo 
Published: June 2024

Abstract
Introduction
Sleep is a crucial biological need for all individuals, being reparative on a physical and mental level. Driving heavy vehicles is a task that requires constant attention and vigilance, and sleep deprivation leads to behavioral and physiological changes that can develop sleep disorders which can put lives at risk.

Objectives
The main objectives of this study are to describe and evaluate sleep quality, excessive daytime sleepiness, circadian preference, and risk of suffering from obstructive sleep apnea in a population of Portuguese professional drivers.

Methods
To fulfill the objectives, 43 Portuguese professional drivers, between 23 and 63 years old, answered validated questionnaires: Epworth Sleepiness Scale, Morningness–Eveningness, Stop-Bang Questionnaire, and Pittsburgh Sleep Quality Index.

Results
Results indicated that older drivers tend to experience higher daytime sleepiness (11 ± 3.4; p = 0.002) and obstructive sleep apnea risk (4.5 ± 1.5; p = 0.03). Regarding sleep quality, the majority of drivers were classified with poor sleep quality (74.4%). It was possible to infer statistical differences between groups based on body mass index (p = 0.037), the type of route (p = 0.01), and physical activity (p = 0.005).

Conclusion
Drivers have an indifferent circadian preference and small-course drivers have a worse sleep health perception. Therefore, it is essential to implement prevention programs, promoting the basic rules for better sleep quality as well as identifying sleep disorders to minimize possible road accidents.
Biological potential of eight medicinal plants collected in the restored landscape after mining in South Kalimantan
Authors: Wiraswati Hesti Lina , Pradini Gita Widya , Fauziah Nisa , Laelalugina Amila , Arimdayu Annisa Retno , Supandi Supandi , Kodir Reza Abdul , Kurnia Dikdik , Berbudi Afiat , Achadiyani Achadiyani , Ma’ruf Ilma Fauziah 
Published: June 2024

AbstractLand restoration is expected to enhance the supply of valuable ecosystem resources such as herbaceous bushes and weeds. This study aimed to determine the primary phytochemical constituents and bioactivities of methanol extracts from eight bushes and weeds collected from a restored post-mining landscape in South Kalimantan, Indonesia. Qualitative phytochemical analysis showed the presence of phenolic compounds, flavonoids, tannins, alkaloids, steroids, terpenoids and saponins in the methanol extracts of herbaceous plants. Their antioxidant activity was measured by using the 2,2-diphenyl-1-picryl-hydrazyl-hydrate assay. Their superoxide dismutase (SOD) activity was also measured. In addition, selected plant extracts were screened against the common human pathogens Staphylococcus aureus and Candida albicans. Phytochemical analysis showed that the methanol extracts contained all the bioactive compounds examined in this study except the one from Lycopodium cernuum, which lacked flavonoids and alkaloids. Further investigation revealed that all methanol extracts except the one from L. cernuum had promising antioxidant potential. The methanol extracts from Chromolaena odorata (stem), Trema micrantha, Melastoma malabathricum (flower and leaf) and Thypa angustifolia exhibited effective antibacterial activity. In addition, the methanol extracts from M. malabathricum (flower and leaf), T. micrantha, Scleria sumatrensis and Breynia cernua (leaf) exhibited effective antifungal activity. M. malabathricum (flower and leaf) has the greatest potential as a herbaceous plant since its methanol extract exhibits the most potent antioxidant, antibacterial and antifungal activities.
Discovering sustainable finance models for smallholder farmers: a bibliometric approach to agricultural innovation adoption
Authors: Alamsyah Raden Trizaldi Prima , Wulandari Eliana , Saidah Zumi , Hapsari Hepi 
Published: June 2024

AbstractSmallholder farmers, crucial to global food security, face challenges in sustainable integration into agricultural innovation due to inherent flaws in existing finance models. This research addresses the conspicuous gap in comprehensive reviews on sustainable finance in agriculture through a bibliometric approach. Financial constraints, limited market access, and climate vulnerability plague smallholder farmers, hindering the long-term sustainability of current financial models. This study aims to systematically map the scholarly landscape of sustainable finance models for smallholder farmers, focusing on the adoption of agricultural innovations. A critical knowledge gap exists regarding bibliometric patterns and trends in the adoption of agricultural innovations by smallholder farmers. The study utilizes the RAPID framework for a streamlined and evidence-based bibliometric review, employing RStudio and the bibliometrix-package. The analysis aims to recognize, assess, purge, investigate, and document key themes and emerging patterns in the literature. Noteworthy trends from bibliometric reviews indicate a rise in bibliometric approaches, with VOSviewer as a prevalent tool. This research contributes methodologically by advocating for Scopus as the primary database. The study’s significance lies in informing policy, practice, and research initiatives supporting smallholder farmers. By revealing bibliometric patterns, this study aims to guide the design of innovative and context-specific financial instruments, fostering a more sustainable and inclusive agricultural landscape. In conclusion, this research endeavors to bridge the knowledge gap and provide novel insights at the intersection of sustainable finance and agricultural innovation adoption. The anticipated outcomes will inform the development of tailored financial models, advancing the resilience and productivity of smallholder farmers globally.
Bifurcation, Traveling Wave Solutions and Dynamical Analysis in the $$(2+1)$$-Dimensional Extended Vakhnenko–Parkes Equation
Authors: Sun Yan , Wu Juan-Juan , Wen Xiao-Yong 
Published: June 2024

Abstract
This paper is concerned with the bifurcation of the traveling wave solutions, as well as the dynamical behaviors and physical property of the soliton solutions of the (2+1)-dimensional extended Vakhnenko–Parkes (eVP) equation. Firstly, based on the traveling wave transformation, the planar dynamical system corresponding to the (2+1)-dimensional eVP equation is derived, and then the singularity type and trajectory map of this system are obtained and analyzed. Based on the bifurcation of this system, the analytical expression for the periodic wave solution is given and shown graphically. Secondly, the N-soliton solutions are obtained via the bilinear method, and some important physical quantities and asymptotic analysis of one-soliton and two-soliton solutions are discussed. The results obtained in this paper might be useful for understanding the propagation of high-frequency waves.
Urban development and the loss of natural streams leads to increased flooding
Authors: Baig Adeem , Atif Salman , Tahir Ali 
Published: June 2024

AbstractDeveloping countries with hard pressed economies and a rapidly growing population have a myriad of issues to face. Karachi is one of the largest cities of Pakistan and is rapidly growing. The city has been hit by floods in the year 2016, 2018, 2019 and 2020, recently. Since the early 1990s Karachi has seen a rapid spike in development and in the process many natural streams have been built over. This has led reduced space for rainwater runoff and has created problems for urban flood managers. To ascertain this, topographic records of 1940s and 1980s and Landsat imagery of 2000, 2008, 2015 and 2020 were used to map historical urban extent. Sentinel—1, Synthetic Aperture Radar (SAR) imagery was used to extract flooded areas during 2015, 2017, 2019 and 2020 floods. In the year 2020, 64.3 km2 of area was flooded which was the highest. There has been a growth of 286% in urban area observed between 1980 and 2000. The city was built with several natural flood water carrying streams, north and west of it. It was found that that out of 3600 km of these streams, 870 km of streams have either been blocked or removed and a 100% in core urban area. DEM of difference (DOD) prepared by subtracting 1945 DEM from SRTM DEM indicated that most of embankments along these streams were in the areas that show erosion in DOD surface, thus explaining the expansion of built areas along historical stream channels. Forcing floods to enter these built areas.