bluuebunny/crossref_metadata_2025_split huggingface dataset:
The application of PBL combined with MDT and flipped classroom teaching method in the education of acute coronary syndrome
Authors: Lin Yuhui , He Xiaoqing , Dai Wenjun , Tang Wenpeng , Xu Yunhong 
Published: October 2024

Abstract

Background: The development of medical education is rapidly evolving, with innovative teaching methods such as problem-based learning (PBL) and multidisciplinary treatment (MDT) combined with flipped classroom approaches gaining increasing attention in clinical medical education. However, the actual effectiveness of PBL combined with MDT and flipped classroom methods in the teaching of cardiovascular diseases has not been well studied. Considering that these two teaching methods can complement each other, this study explores the application and effectiveness of PBL combined with MDT and flipped classroom teaching method in the case-based teaching of acute coronary syndrome. Methods: A total of 100 undergraduate clinical medicine students aged 20--21 years from Guangzhou Medical University were selected as research subjects. They were randomly divided into two groups via a random number table: the experimental group (PBL combined with MDT and flipped classroom teaching), which included 50 students, and the control group (traditional teaching methods), which included 50 students. After the clinical training, the theoretical examination scores and skill assessment results of the two groups were compared, and a questionnaire survey was conducted to evaluate teaching effectiveness.
Results: The theoretical examination scores and skill assessment results of the experimental group were significantly better than those of the control group (P < 0.05). The questionnaire survey revealed that the students in the experimental group outperformed those in the traditional teaching group in terms of learning motivation, theoretical learning outcomes, clinical thinking ability, literature retrieval skills, self-directed learning ability, practical ability, and classroom satisfaction, with statistically significant differences (P < 0.05).
Conclusion: PBL combined with MDT and the flipped classroom teaching method is effective in the clinical training of acute coronary syndrome patients, offers better teaching outcomes than traditional methods do and is worthy of further promotion and application.
Degradable film mulching recruited beneficial microbiota and increased rhizosphere bacterial diversity in sunflower
Authors: Meng Tiantian , Bu Hengtong , Zhang Xiangqian , Chen Xuanyi , Wang Weini , Zhao Min , Liu Junmei , Zhang Jianwei , Zhang Dejian , Lu Zhanyuan , Zhao Xiaoyu 
Published: October 2024

Abstract

The degradable film can solve the problem that the traditional plastic film is difficult to recycle and heavy pollution for a long time. The effects of degraded film mulching on microbial diversity are significant. However, the responses of relevant microbial communities to degraded film mulching in different ecological niches (e.g., bulk soil, rhizosphere and endosphere) of sunflower roots are poorly understood. This study analyzed the effects of plastics film mulching on bacterial and fungal diversities, community assembly process, key dominant species of sunflower different ecological niches in roots. The results showed that degradable film mulching significantly increased the diversity of bulk soil and rhizosphere soil bacteria and decreased the diversity of fungi, and the mulching treatment promoted the gradual shift of the rhizosphere microbial community assembly process to a deterministic process. Degradation film mulching increased the connectivity and complexity of bacterial networks and decreased the complexity of fungal networks. Plastic film mulching improves soil nutrients, temperature and moisture, enhances the positive correlation among microorganisms. At the same time, core species such as Amycolatopsis, Rhizobiaceae, and Sphingomonas that recruit beneficial microorganisms and accelerate the degradation of plastic film are significantly enriched. Degradable film covering promoted soil nutrient cycling, increased urease, alkaline phosphatase, sucrase, and thus increased sunflower yield. A comprehensive analysis of random forest and structural equations showed that the main driving microbial factors of yield were bulk soil bacterial diversity and endosphere fungal diversity. This study provides new ideas for the analysis of soil microbial mutual feedback mechanisms between degraded film mulch and rhizosphere ecosystems.
The combined Cp2-EPS and rhizobium inoculation enhance the growth of alfalfa under salt stress
Authors: huang rong , Jin Zhenhai , xie jinjing , liu xiaoni , zhang zhenfen 
Published: October 2024

Abstract

The interaction of plant and soil microbial communities can promote plant growth and increase stress tolerance. Exopolysaccharide (EPS) is a secondary metabolite produced by certain bacteria and important signal molecules between plants and microorganisms, which has the potential to alleviate salt stress in plant. The study explored the effects of combined Erwinia persicina Cp2-EPS and rhizobium strain (Gz5) inoculation on seed germination and seedling growth of alfalfa under salt stress. The results showed that under 100 mmol·L-1 NaCl stress, each treatment had a very significant positive effect on seed germination and seedling growth compared with the control. The germination index aboveground and underground fresh and dry weight, aboveground and underground length, root index, chlorophyll content, SOD and CAT activities and SS content of combined Cp2-EPS and Gz5 inoculation both achieved maximum value, MDA and H2O2 content reached a minimum value. And relative conductivity and preserved amino acid content were significantly improved compared with the control. Therefore, combined inoculation had positive effects on seed germination and seedling growth of alfalfa under salt stress, and had a more remarkable effects than single inoculation (R/EPS). Our findings provided valuable insights for enhancing the salt tolerance of alfalfa and saline-alkali land improvement.
Boosting Proteasome Activity: A Novel Mechanism of NMDAR Blockers Against Neurodegeneration
Authors: Sahin Fikret , Gunel Aslihan , Atasoy Buse Turegun , Guler Ulku , Salih Bekir , Kuzu Isunsu , Taspinar Mehmet , Cinar Ozgur , Kahveci Selda 
Published: October 2024

Abstract

NMDAR antagonists, such as memantine and ketamine, have shown efficacy in treating neurodegenerative diseases and major depression. The mechanism by which these drugs correct the aforementioned diseases is still unknown. Our study reveals that these antagonists significantly enhance 20S proteasome activity, crucial for degrading intrinsically disordered, oxidatively damaged, or misfolded proteins, factors pivotal in neurodegenerative diseases like Alzheimer's and Parkinson's. In our mouse model experiment, ketamine administration notably altered brain synaptic protein profiles within two hours, significantly downregulating proteins strongly associated with Alzheimer's and Parkinson's diseases. Furthermore, the altered proteins exhibited enrichment in terms related to plasticity and potentiation, including retrograde endocannabinoid signaling—a pivotal pathway in both short- and long-term plasticity that may elucidate the long-lasting effects of ketamine in major depression. Via the ubiquitin-independent 20S proteasome pathway (UIPS), these drugs maintain cellular protein homeostasis, which is crucial as proteasome activity declines with age, leading to protein aggregation and disease symptoms. Therefore, these findings hold promise for new treatment options not only for brain diseases but also for other systemic conditions associated with unfolded or misfolded proteins.
Optimization of Bacillus Bacteria Mediated Biosynthesis of Nickel Nanoparticles Using a Precise Gradient Generated Through Microfluidic Network.
Authors: Yusuf Hayat Abdulla , Redha zainab Mohammad , Thawadi Salwa , Maki Husain , Abbas Husain , Mohsin Jasim 
Published: October 2024

Abstract

The biosynthesis of nickel nanoparticles has gained significant interest due to their distinctive properties and eco-friendly preparation methods. Nevertheless, optimizing the nanoparticles' biosynthesis can be time-consuming and challenging. Therefore, this study presents a microtechnology-based optimized process for producing nickel nanoparticles using bacterial growth (Bacillus species). Nickel is the precursor that is optimized by using Bacillus species growth. Growth duration, pH, and nickel precursor concentration were optimized. A gradient of various pH ranges was obtained via a hierarchical 2-inlet and 6-outlet microfluidic network. The network is distinguished by its capacity for automated, precise generation and sustained maintenance of concentration gradients for precursors and pH throughout the experimental duration. An optimum bacterial growth was observed at pH 6.5 and a nickel precursor concentration of 7.1×10− 3 mol/L. The time factor was also investigated at the optimum conditions of the factors above. Complete precursor consumption was optimally achieved after 13 days of incubation within the 20-day experimental period. UV-Vis spectrophotometry, X-ray diffraction, electron dispersive spectrometry, and scanning electron microscopy were used to characterize the biosynthesized nickel nanoparticles. Powder X-ray diffraction measured the crystal size of the nanoparticles as 27.8 nm for the cubic phase and 29.9 nm for the triangular shape.
Contrasting dynamic behaviour of six lake-terminating glaciers draining the Vatnajökull Ice Cap and links to bedrock topography
Authors: Baurley Nathaniel R. , Andrews Amelia , Robson Benjamin , Attia Sherif , Martinez Kirk , Hart Jane K. 
Published: October 2024

Abstract

Over recent years, the rapid growth and development of proglacial lakes at the margin of many of Iceland’s outlet glaciers has resulted in heightened rates of mass loss and terminus retreat, yet the key processes forcing their dynamic behaviour remain uncertain, particularly at those glaciers which are underlain by overdeepeend bedrock troughs. As such, we utilised satellite remote sensing to investigate the recent dynamic changes at five lake-terminating glaciers draining the Vatnajökull ice cap. Specifically, we quantified variations in surface velocity between ~ 2008–2020, alongside datasets of frontal retreat, proglacial lake growth, bedrock topography and ice surface elevation change to better understand their recent dynamics and how this may evolve in future. We observed contrasting dynamic behaviour between the five study glaciers, with three displaying a heightened dynamic response (Breiðamerkurjökull, Fjallsjökull, Skaftafellsjökull), which was likely driven by retreat down a reverse-sloping bed into deeper water and the onset of dynamic thinning. Conversely, one glacier re-advanced (Kvíárjökull), whilst the other remained relatively stable (Svínafellsjökull), despite the presence of overdeepened bedrock troughs under both these glaciers, highlighting the complex nature of those processes that are driving the dynamic behaviour of lake-terminating glaciers in this region. These findings may be important in helping understand the processes driving the dynamics of other lake-terminating glaciers in Iceland so that their future patterns of retreat and mass loss can be more accurately quantified.
An 11-Year (2012-2022) Review of Journal of Athletic Training Publication Study Designs and Sample Sizes
Authors: Winkelmann Zachary K. , Scarneo-Miller Samantha E. , Smith Emily C. , Argetsinger Ryan M. , Eberman Lindsey E. 
Published: October 2024

Abstract

Background: Research findings must be representative by creating a sample of individuals, ensuring the results can be generalized and applicable to a larger population. However, the varied research design methods require a unique approach to sampling and a formula for recruitment and size. Therefore, the purpose of this study was to analyze historical data from published manuscripts in the Journal of Athletic Training (JAT) relative to study design and sample sizes. A secondary purpose was to further explore metrics for survey-based research.
Methods: This descriptive analysis explored publications in each issue of the JATfrom January 2012 (Volume 47) to December 2022 (Volume 57; n=1267 articles). We extracted publications from the JAT website. Every article was entered into a spreadsheet (year of publication, publication title) and data specific to the study design and sample size were used for analysis. For studies that were coded as survey-based research, access, response, and completion rates were completed, and topic area and use of a power analysis were extracted. Data were analyzed using measures of central tendency (mean, median, range).
Results: Of the 1267 published studies, the most frequent design was cross-sectional (394, 31.1%). In total, 1080 publications (85.2%) were not survey-based, with a median sample size of 34 participants, while 187 publications (14.8%) were survey-based, with a median sample size of 429. Among those surveys, most were cross-sectional (n=151/187, 80.8%), with 80.7% (n=151/187) reporting the number initially recruited and 50.8% (n=95/187) reporting the number of surveys started. The survey publications reported recruiting an average of 4453 potential participants (median=2500; min=101, max=48752), with 985 participants starting the study (median=816, min=57, max=7067), and a final sample size of 819 (median=429; min=17, max=13002). The grand mean access rate was 22.1%, the grand mean response rate was 18.4%, and the grand mean completion rate was 83.1%.
Conclusion: Researchers and reviewers can use these trends to guide authorship and review processes for athletic training research. However, sampling strategies should be consistent with the research question, which may lead to deviations from these reported trends.
Comparative physiology of xylem nickel loading in the hyperaccumulator Odontarrhena inflata and a non-accumulator Aurinia saxatilis
Authors: Soleymanifar Soraya , Ehsanpour Ali Akbar , Ghasemi Rasoul , Heinrich Sascha , Bandow Julia Elisabeth , Schat Henk , Krämer Ute 
Published: October 2024

Abstract

Background and Aims
This study aimed to gain insight into the biochemical mechanisms of Ni movement in Odontarrhena inflata and Aurinia saxatilis.
Methods
We examined the effects of Ni exposure on the concentrations of histidine and nicotianamine in roots, shoots, and in xylem sap of Odontarrhena inflata (as Ni hyperaccumulator) and Aurinia saxatilis as a non-accumulator. Furthermore, we analysed the effects of Fe and Zn deficiency, and of an apoplastic pathway blocker, on the mobility of Ni.
Results
In plants unexposed to Ni, root His and shoot NA concentrations were higher in O. inflata than in A. saxatilis. Ni exposure caused an increase in His in the xylem sap of O. inflata. Ni exposure caused concentration-dependent increases in shoot His and in root NA concentrations, which were similar in both species for His and distinct between the two species for NA. Fe deficiency, followed by a short-term Fe luxury and Ni exposure, led to enhanced Ni uptake and Ni flux from the root to the shoot of O. inflata. By contrast, we observed decreased Ni loading into the xylem in O. inflata subjected to Zn deficiency. An apoplastic pathway blocker resulted in a decrease in root Ni levels by almost 20%, and in decreased shoot Ni concentrations only under high Ni exposure.
Conclusion
The processes enhanced in response to Fe deficiency can contribute to root uptake and xylem loading of Ni in the hyperaccumulator species. The contribution of apoplastic pathway to root-to-shoot Ni flux is negligible under natural ecological conditions.
Assessment of Two Methods for Detecting Carious Dentin: An In Vitro Study
Authors: White Joel M. , Yansane Alfa , Kukreti Puja , Nahar Pragati , Orobia Paolo , Jensen Rachel , Plack Leslie , Vaderhobli Ram , Mangum Jonathan , Jenson Larry 
Published: October 2024

Abstract

Background: The objective of this study was to compare two dentinal caries lesion detector methods, Caries Finder and BlueCheck, to determine if they were substantially equivalent in their ability to aid visualization of demineralized dentin and to also to compare their performance compared to the traditional visual/tactile method of dentinal caries lesion detection
Methods: Sixty-five extracted human teeth containing lesions rated as ICDAS 4,5 or 6 were chosen and then randomly assigned to two groups. Specimens were then evaluated in standard operatory conditions by three evaluators using the traditional visual and tactile method, the Caries Finder method, and the BlueCheck method of detection. The study employed a parallel, randomized controlled study design. To test the equivalence claim, a “two-one sided test” (TOST) approach was utilized.
Results: As compared to the traditional method, the Caries Finder method had a 0.9742 accuracy, 95% confidence interval [0.9578, 0.9855], 94.80 % sensitivity, 98.53% specificity, 96.47 % positive predictive value, 97.82% negative predictive value, 0.938 Kappa value, p <2.2e-16). The BlueCheck method had a 0.9821 accuracy, 95% confidence interval [0.9682, 0.9910], 96.02% sensitivity, 99.09% specificity, 97.69% positive predictive value, 98.42% negative predictive value, 0.956 Kappa value, p<2.2e-16). Inter-rater reliability and intra-rater reliability ratings were good to excellent.
Conclusions: The results of this study support the conclusion that the Caries Finder and BlueCheck methods compare favorably with the traditional method of carious dentin detection. Caries Finder and BlueCheck detection methods were found to be substantially equivalent in their ability to differentiate carious dentin from healthy tooth structure. Both show good to excellent inter-rater and intra-rater reliability.
Accuracy of determining gait independence using adductor pollicis muscle thickness and skeletal muscle mass index in community-dwelling older adults undergoing outpatient rehabilitation
Authors: Ishimoto Taisei , Fujimoto Takehiro , Hisamatsu Ken , Matsudaira Nozomi , Hayashi Hikaru , Hashimoto Risako , Toyota Yoshio , Akazawa Naoki 
Published: October 2024

Abstract

Objective
The accuracy of determining gait independence using adductor pollicis muscle thickness (APMT) and skeletal muscle mass index (SMI) in community-dwelling older adults undergoing outpatient rehabilitation remains unclear. The purpose of this study was to compare the accuracy of determining gait independence using APMT and SMI in community-dwelling older adults undergoing outpatient rehabilitation.
Methods
This study included 98 older adults (mean age: 85.2 years). Subjects were received outpatient rehabilitation one to three times a week. The main outcomes were gait independence (functional independence measure gait score: 6 or 7), skeletal muscle mass index (SMI), and APMT. A receiver operating characteristic (ROC) curve of APMT and SMI for gait independence were created, and a cut-off value were calculated using the Youden index. Additionally, the area under the curve (AUC) s of the APMT model and the SMI model were compared using the Delong test.
Results
Among the 98 subjects, 53 (54.1%) were in the gait independent group. The cut-off value of APMT calculated from the ROC curve was 13mm; the sensitivity and specificity were 67.9% and 86.7%, respectively; and the AUC was 0.800. The cut-off value of SMI calculated from the ROC curve was 4.6kg/m2; the sensitivity and specificity were 90.6% and 26.7%, respectively; and the AUC was 0.582. The AUC for the APMT model was significantly higher than the SMI model (P < 0.001).
Conclusions
The results of this study show that the cut-off value of APMT for determining the gait independence was 13 mm. In addition, APMT had a higher accuracy of determining gait independence than SMI. This indicates that measuring APMT is more useful for predicting gait independence than SMI in community-dwelling older adults undergoing outpatient rehabilitation.
Harmonizing Patient-Centric Requirements for Secure Digital Health Services in Hetero-geneous Settings
Authors: Assom Luigi , Karunaratne Thashmee , Larsson Aron 
Published: October 2024

Abstract

The primary challenge this research addresses is the lack of harmonization of healthcare technologies in emergent regions. Despite the high demand for digital transformation in the healthcare domain, a significant disparity remains in the capacity to implement digitized health services that leverage electronic identification for patient-centricity and adapt to the know-how processes that depend on the specificity of local contexts. This paper aims to bridge this gap by establishing a template of modular requirements supporting the design of viable Electronic Health Recored (EHR) transmitting and sharing of patient data through primary, secondary and specialized care, also being adaptable to diverse healthcare environments and scalable across varying socio-economic landscapes. The research is anchored in design science and conforms to an action research strategy having northern Brazil as an empirical case. The exaptation process extracted suggested requirements from standards set forth by the European Union, the Fast Healthcare Interoperability Resources (FHIR) and the Swedish ePrescription journal system, subject to be adapted to the Brazilian healthcare context using a participatory approach characterised by divergent developmental landscapes across municipalities. Harmonization requirements were refined from Brazilian healthcare policies for the digitization of healthcare. Patient-centricity requirements were extracted through fieldwork iterations from a target audience of Healthcare Professionals and Patient Associations representatives. Strategies from Brazilian healthcare policies addressing chronic kidney disease, selected as a significant challenge for specialized healthcare in emergent areas, were integrated to generalize the design of EHR modules for the prevention and monitoring of the population at risk.
An improved data-driven approach for NMC battery remaining useful life prediction
Authors: HEMDANI Jamila , DEGAA Laid , RIZOUG Nassim , SOLTANI Moez , telmoudi achraf , chaari abdelkader 
Published: October 2024

Abstract

The transition to sustainable electric mobility requires significant advances in the accurate prediction of NMC battery capacity, a critical aspect in ensuring the reliability and durability of electric vehicles. In this study, a hybrid version of Convolutional Neural Network (CNN), Temporal Convolutional Network (TCN) and Deep Neural Network (DNN), to accurately predict the battery’s capacity, named CNN-TCN-DNN, is designed. There are two layers in the proposed learning framework: CNN and TCN-DNN. The CNN layer is employed to extract features from the original battery datasets, and TCN-DNN is used to generate the final estimated capacity by leveraging the characteristics extracted by CNN. The proposed technique uses battery’s voltage, charge/discharge currents under ambient temperature to estimate capacity. An experimental validation was carried out, based on the NMC battery data sets, using two topologies: serial and parallel. Finally, the effectiveness of the proposed methods are proven by a comparative study with other advanced techniques. The results show that our approaches outperforms other state-of-the-art techniques in terms of prediction accuracy.