bluuebunny/crossref_metadata_2025_split huggingface dataset:
Frontier Molecular Orbital Weighted Model Based Networks for Revealing Organic Delayed Fluorescence Efficiency
Authors: Bi Hai , he zhaoming , Liang Baoyan , Li Zhiqiang , Zhang Heming , Wang Yue 
Published: July 2024

Abstract

Free of noble-metal and high in unit internal quantum efficiency of electroluminescence, organic molecules with thermally activated delayed fluorescence (TADF) features pose the potential to substitute metal-based phosphorescence materials and serve as the new-generation emitters for the mass production of organic light emitting diodes (OLEDs) display. Predicting the function of TADF emitters beyond classic chemical synthesis and material characterization experiments remains a great challenge. The advances in deep learning (DL) based artificial intelligence (AI) offer an exciting opportunity for screening high-performance TADF materials through efficiency evaluation. However, data-driven material screening approaches with the capacity to access the excited state properties of TADF emitters remain extremely difficult and largely unaddressed. Inspired by the fundamental principle that the excited state properties of TADF molecules are strongly dependent on their D-A geometric and electronic structures, we developed the Electronic Structure-Infused Network (ESIN) for TADF emitter screening. Designed with capacities of accurate prediction of the photoluminescence quantum yields (PLQYs) of TADF molecules based on elemental molecular geometry and orbital information and integrated with frontier molecular orbitals (FMOs) weight-based representation and modeling features, ESIN is a promising interpretable tool for emission efficiency evaluation and molecular design of TADF emitters.
Machine Learning Based Approach for Software Defect Prediction using Hyperparameter
Authors: Sharma Digvijay Narayan , Yadav Dilip Kumar 
Published: July 2024

Abstract

Software Defect Prediction (SDP) is an assessment done for software or IT (Information Technology) solution. it enables stakeholders to judge its quality, functionality, scalability, reliability, information security and availability during SDLC of software. With digitalization of business and processes, its scope has multiplied since business look for reliable and good quality solutions for important application. Since most of these activities are done manually, it has been an area of research in software engineering. Researchers have been trying to predict defects from code metrics taken from PROMISE software repository dataset like CM1, JM1 and KC1. In this paper we have developed Model based on hyperparameter tuning for well accepted Machine Learning classifier to predict Software defects and found it better compared to many earlier proposed Model.
Using the OSCE to assess medicine students' communication and clinical reasoning during five years of restricted clinical practice
Authors: Armijo-Rivera Soledad , Saavedra Catalina Zamorano , Vicencio-Clarke Scarlett , Pérez Claudia Behrens , Pérez-Villalobos Cristhian 
Published: July 2024

Abstract

Background: Objective and Structured Clinical Examination (OSCE) is a widely used evaluation method for health profession students. In Chile, physicians OSCEs have incorporated clinical reasoning and patient-centered communication assessment since 2015. The global impact of the pandemic hindering clinical practice. Is still unknown if this context affects disproportionately affected lower-income regions, and that was the case of the University analyzed in this study. Aim: This research compares the OSCE patient-centered communication and clinical reasoning results among five cohorts of intermediate-level medicine students with restricted clinical practice in Chile.
Methods: We designed an observational study analyzing five cohorts of fourth-year medicine students with different clinical practice opportunities, with 3rd to 4th-year progression analysis in two cohorts. Adaptations to compensate lack of clinical practice hours include high-fidelity simulation and theoretical discussion of clinical cases, as well as formative OSCE at third-year level in two cohorts. Communication in OSCE was assessed using CAT, and clinical reasoning with a register form. We applied descriptive statistics, central tendency measurements, Kruskal Wallis tests and Wilcoxon's test for paired sample analysis. Ethical approval was obtained.
Findings: The 2018 cohort shows the lowest results in both variables although it was the cohort with more clinical practice opportunities. The higher CAT result was in the 2021 cohort, while the 2022 cohort exhibited a significantly higher clinical reasoning score (p<0.05). There is a linear tendency to grow over the years for both measures. The 2023 cohort shows significant improvement between third-year and fourth-year OSCEs in all items of CAT and a detriment in clinical reasoning, while the 2022 cohort shows a significant increment in clinical reasoning and four items of CAT (p<0.05).
Conclusion: The students with fewer hours of clinical practice showed similar clinical reasoning and communication results to the prepandemic group, probably because of the adaptations implemented. Simulation was an effective alternative practice in a restricted clinical practice context. Component-by-component analysis and trends of change are a better approach to assessing progression than global scores.
A Geospatial analysis of Climate Change Impacts: Relationship of Normalized Difference Water Index (NDWI and Land Surface Temperature (LST) in Kumaun Himalaya
Authors: CHANYAL P.C. , Purohit Sanju 
Published: July 2024

Abstract

This study presents a geospatial assessment of climate change impacts in the Kumaun Himalaya region, focusing on the relationship between Normalized Difference Water Index (NDWI) and Land Surface Temperature (LST). Leveraging Google Earth Engine, Landsat 5, and MODIS Terra Aqua data, we conducted a comprehensive analysis spanning the study period from 1992 to 2020. NDWI and LST were utilized as indicators to investigate the hydrological and thermal dynamics of the region in response to climate change. Our findings reveal significant temporal trends and spatial patterns in NDWI and LST, highlighting the complex interactions between water dynamics and surface temperature in the Kumaun Himalaya. We observed a notable decline in NDWI over the study period, indicative of changes in water availability and distribution, while LST exhibited an increasing trend, suggesting rising temperatures in the region. Spatial analysis further elucidated the spatial heterogeneity of these trends across different land cover types and elevation zones. Through this geospatial assessment, the research study contribute to a better understanding of climate change impacts on the hydrological and thermal regimes of the Kumaun Himalaya, providing valuable insights for informed decision-making and adaptation strategies in the face of environmental change. The temporal change from 1992-2000-2010-2020 revealed a negative relationship between LST and NDWI, indicating that as surface temperatures increase, water content or availability tends to decrease. The research study reveals that the Himalayan region is facing about more heat and adverse climatic change impacts specially effects on water body as well glaciers river streams and moisture of soils. This study presents a geospatial assessment of climate change impacts in the Kumaun Himalaya region, focusing on the relationship between Normalized Difference Water Index (NDWI) and Land Surface Temperature (LST). Leveraging Google Earth Engine, Landsat 5, and MODIS Terra Aqua data, we conducted a comprehensive analysis spanning the study period from 1992 to 2020. NDWI and LST were utilized as indicators to investigate the hydrological and thermal dynamics of the region in response to climate change. Our findings reveal significant temporal trends and spatial patterns in NDWI and LST, highlighting the complex interactions between water dynamics and surface temperature in the Kumaun Himalaya.
Applying the Cognitive Walkthrough for Implementation Strategies Methodology to Inform the Redesign of a Selection-Quality Implementation Toolkit for Use in Schools
Authors: Dickson Kelsey , Michael Olivia , Drahota Amy , Srid Aksheya , Tschida Jessica , Locke Jill 
Published: July 2024

Abstract

Background: Implementation strategies are key to enhancing translation of new innovations but there is a need to systematically design and tailor strategies to match the targeted implementation context and address determinants. There are increasing methods to inform the redesign and tailoring of implementation strategies to maximize their usability, feasibility, and appropriateness in new settings such as the Cognitive Walkthrough for Implementation Strategies (CWIS) approach. The aim of the current project is to apply the CWIS approach to inform the redesign of a multifaceted selection-quality implementation toolkit entitled ACT SMARTS for use in middle and high schools.
Methods: We systematically applied CWIS as the second part of a community-partnered iterative redesign of ACT SMARTS for schools to evaluate the usability and inform further toolkit redesign areas. We conducted three CWIS user testing sessions with key end users of school district administrators, school principals, and educators.
Results: Our CWIS application revealed that end users found ACT SMARTS acceptable and relevant but anticipate usability issues engaging in the ACT SMARTS process. Results informed the identification of eleven usability issues and corresponding redesign solutions to enhance the usability of ACT SMARTS for use in middle and high schools.
Conclusions: Results indicated the utility of CWIS in assessing implementation strategy usability in service of informing strategy tailoring and redesign to improve alignment with user and setting needs. Recommendations regarding the use of this participatory approach are discussed.
Influence of non-cohesive soils with induced structural heterogeneities on internal erosion due to suffusion
Authors: Ouaga Jean-Bruce , KONIN Athanas 
Published: July 2024

Abstract

This paper presents an experimental study focused on the behavior of non-cohesive soils presenting structural heterogeneities subjected to internal erosion due to suffusion. The suffusion tests were performed by applying a downward seepage flow under multi-staged hydraulic gradient. Experiments were carried out at the scale of a soil sample. Soil samples with structural homogeneity and soil samples with structural heterogeneities were tested. Homogeneous soil samples were used for comparison. Two heterogeneity configurations based on fines content (15% and 25%) and density index (ID = 0.1 and ID = 0.4) were tested. measurements of flow velocity, total eroded mass and erosion rate were carried out. The analysis of results obtained has shown that soils with induced structural heterogeneities are more erodible than soils with homogeneous structure, independently of the fines content and the density index. The specimens with low density index (ID = 0.1) are more erodible than those with medium density index (ID = 0.4).
Paclobutrazol and Sucrose Boost tuber growth and acclimatization in potted Calla Lily through tissue culture
Authors: Aboksari Hassan Abedini , Azadi Pejman , Azimi Mohammad Hossein , Kalatejari Sepideh , Borzouei Azam 
Published: July 2024

Abstract

Commercial micropropagation of Zantedeschia, commonly known as Calla lily, is a valuable and economically viable method for propagation. However, successful in vitro cultivation depends on the proper formation of tubers, as plants without well-developed tubers have limited chances of survival during subsequent transfer and acclimatization stages. The objective of this research was to investigate the impact of different concentrations of sucrose, cycocel, and paclobutrazol on microtuber size and production in potted Zantedeschia cultivars, namely 'Sun Club,' 'Orania,' and 'Zazu,' under in vitro conditions. The study was conducted as two separate factorial experiments using a completely randomized design. In the first experiment, the Zantedeschia cultivars were exposed to various concentrations of sucrose (3%, 6%, and 9%) combined with different concentrations of cycocel (0, 150, 200, and 250 mg/l). The second experiment involved the same sucrose concentrations combined with paclobutrazol (0, 0.5, 1, and 1.5 mg/l). The evaluation included the measurement of tuber size, tuber weight, plant height, and acclimatization percentage. Results revealed that the Zantedeschia cultivars exhibited diverse responses in terms of tuber size and acclimatization percentage under the controlled conditions. The effects of the applied treatments varied depending on the concentrations and interactions among the different factors. Notably, a 6% concentration of sucrose showed superior performance in microtuber production and other measured traits. Cycocel at a concentration of 200 mg/l and paclobutrazol at a concentration of 0.5 mg/l showed improved performance compared to other concentrations when combined with 6% sucrose. Notably, the 6% sucrose concentration consistently demonstrated superior performance in microtuber production and other measured traits. Additionally, when combined with 0.5 mg/l paclobutrazol, it resulted in significantly higher survival rates (Sun Club: 86%, Orania: 80%, Zazu: 91%) and larger tuber diameters (Sun Club: 48.72 mm, Orania: 50.41 mm, Zazu: 44.06 mm) under both in vitro conditions and after acclimatization, compared to the control group. These findings contribute to the advancement of micropropagation techniques for Zantedeschia and may have implications for commercial production.
Comparing the time to detection (TTD) and antibiotic adsorption capacity of different blood culture systems of BD and Biomerieux
Authors: Meng Qing , Liu Xiaoya , Li Wujiao , Huang Xiuhui , Xing Zhihao , Li Xuejuan , Fu Xiaoying , Zhou Lintao , Chen Yunsheng 
Published: July 2024

Abstract

To evaluated the TTD differences of different blood culture bottles (BacT/Alert-PF, BacT/Alert-PF plus, and Bactec-PF) and instruments (BacT/Alert 3D, BacT/Alert VIRTUO, and Bactec FX) through in vitro blood culture by simulating bloodstream infections by different bacterial or fungal species, and we also evaluated the adsorption capacity of three blood culture bottles for various antibiotics through in vitro blood culture collection under simulated peak antibiotic concentrations. Among all tested bacteria, the median TTD of BacT/Alert VIRTUO using BacT/Alert-PF plus and of Bactec FX using Bactec-PF was shortened by 5.63 and 3.77 h, respectively, compared with BacT/Alert 3D using BacT/Alert-PF. Under the same BacT/Alert 3D blood culture instrument, the median TTD of BacT/Alert-PF plus was 3.33 h shorter than that of BacT/Alert-PF. Under the same BacT/Alert-PF plus blood culture bottle conditions, BacT/Alert VIRTUO shortened the median TTD by 2.3 h compared with BacT/Alert 3D. The median TTD of BacT/Alert VIRTUO using BacT/Alert-PF plus was 1.86 h shorter than that of Bactec FX using Bactec-PF. The antibiotic adsorption evaluation test showed that Bactec-PF (51.3%) and BacT/Alert-PF plus (46.1%) had higher detection rates than BacT/Alert-PF (51.3%). The detection rates of Bactec-PF and BacT/Alert-PF plus vary in different combinations of antibiotic strains, and they increase correspondingly with the degree of bacterial resistance. The detection rates of the three blood culture bottles in the amikacin group were all 100%, whereas those in the ceftriaxone and meropenem groups were all 0%. These findings are of great significance to the selection of antibiotics, treatment, and prognosis of bacteremia.
Denoising of Acoustic Emission Signals from Rock Failure Processes through ICEEMDAN Combined with Multiple Criteria and Wavelet Transform
Authors: Wang Tao , Ye Weiwei , Liu Liyuan , Huang Wei 
Published: July 2024

Abstract

To improve the accuracy of rock failure monitoring, this article addresses the optimization problem of denoising acoustic emission (AE) signals. Combining laboratory experiments on rock AE and theoretical research on signal denoising, a denoising method based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is proposed for rock fracture AE signals. The method utilizes the ICEEMDAN algorithm to decompose the original noisy signal into multiple intrinsic mode functions (IMFs) and employs cluster analysis to determine data thresholds based on their characteristics. Subsequently, using multiple criteria such as permutation entropy, correlation coefficient, and variance contribution rate, the IMFs are categorized into two groups. The low-correlation portion is partially removed based on the combination of indicators, while the high-correlation portion is denoised using wavelet thresholding (WT). Finally, a wavelet analysis is performed to reconstruct the signal, effectively achieving an optimized denoising of the original signal. Quantitative analysis of denoising effects on typical rock uniaxial compression fracture AE signals reveals that the optimized method has a positive impact on high-frequency noise reduction. The peak frequency range is unaffected before and after optimization, while the main amplitude reduction is concentrated in the high-frequency range. Compared to traditional wavelet denoising methods, the proposed method exhibits higher signal-to-noise ratio (SNR) improvement, as well as varying degrees of reduction in mean squared error (MSE) and total harmonic distortion (THD). The research presented in this paper introduces a novel approach to optimizing the application of rock acoustic emission signals.
Lymph Node Metastases Status in Esophageal Squamous Cell Carcinoma following Neoadjuvant Chemoradiotherary: A Single-Center Prospective Study
Authors: Nguyen Anh Tuan , Pham Van Hiep , Tran Manh Thang , Nguyen Pham Nghia Do 
Published: July 2024

Abstract

Background The status of lymph node (LN) metastases in esophageal squamous cell carcinoma (ESCC) following neoadjuvant chemoradiation (NCRT) is not well understood but significantly affects patient prognosis and treatment options. We conducted this study to evaluate the distribution of LN metastases in patients with ESCC who received NCRT combined minimally invasive esophagectomy (MIE).Methods From March 2019 to September 2023, patients with middle- and lower-third ESCC received NCRT, followed by MIE with two-field lymphadenectomy, were included in this prospective study. The primary outcome was to examine the distribution of LN metastases and their correlation with the radiation fields. Secondary outcomes included identifying risk factors for LN metastases and their impact on long-term survival.Results One hundred consecutive patients were included, and 4.11% had LN metastases. The median number of positive LN and the rate of LN metastases in the thoracic LN stations was lower than that of the abdominal region (1.5 and 2.84% vs. 2 and 5.94%, respectively). Over half of the patients had LN metastases within the radiation field. The multivariate analysis found that the LN metastases were associated with the ycN-stage (HR = 2.03, 95% CI 1.02–4.04, p = 0.044). Although the LN metastases were not significantly associated with either OS or DFS (p = 0.891 and p = 0.653, respectively), the number of LN removal ≥ 15 LN removals was significantly improved both OS and DFS (p = 0.040 and p = 0.049, respectively).Conclusions In patients with middle- and lower-third ESCC who underwent NCRT followed by MIE, the rate of LN metastases in the abdominal region is higher than in the thoracic region. The majority of patients had LN metastases within the radiation field. Therefore, NCRT does not justify minimizing lymphadenectomy in ESCC; higher ycN-stage correlates with higher LN metastases.
Does Trust Matters in Lending Decision? A Systematic Literature Review and Research Agendas for Future Studies
Authors: Nofandrilla Nieldya , Wijaya Ibrahim Fatwa , Setiaji Bambang 
Published: July 2024

Abstract

The carte di commenda and the business activities in the Islamic world demonstrate the reliance of the Middle Ages financing system on trust. Trust has been thoroughly analysed thus far in the context of the interaction between buyers and sellers, as well as in alliances. However, there is still a lack of study undertaken on the relationship between trust and loan (in Islamic term is financing) decision-making. The first objective of this Systematic Literature Review (SLR) is to analyse previous research on the relationship between trust and lending decisions, specifically focusing on bank lending to small and medium-sized enterprises (SMEs). The second aim of this SLR is to establish research agendas for future studies. SLR is selected in order to achieve a comprehensive understanding of the matter at hand. This synthesis focusses around three main themes: the building of trust, the concept of trust, and the impact of trust on lending outcomes. There are significant opportunities for more study in the areas of trust, bank lending, and SMEs. We offer a suggestion of future research for enhancing our understanding of trust and lending decision.
Endoscopic Manifestation of Disease Progression from Low-Grade Appendiceal Mucinous Neoplasm to Pseudomyxoma Peritonei: A Three-Year Follow-Up Case Report
Authors: Gao Yanhong , Li Xiangji , Wang Shidong , Xie Qiao , Yang Liu , Kong Linghong , Zheng Zuofeng , Dong Lifeng , Li Jun 
Published: July 2024

Abstract

Appendiceal mucinous neoplasm is a rare tumor of the appendix with the potential to progress to pseudomyxoma peritonei (PMP), often misdiagnosed as acute appendicitis or appendiceal abscess. Here, we present a case of an older female with low-grade appendiceal mucinous neoplasm (LAMN) type 2, manifesting as chronic abdominal pain, distension and elevated carcinoembryonic antigen levels over 3 years. Despite typical imaging findings, the patient was initially misdiagnosed with chronic appendicitis, leading to the development of an appendiceal abscess and extensive peritoneal metastases. The patient underwent three colonoscopies during hospitalization, revealing atypical lesions differing from the usual LAMN presentation near the appendiceal orifice. This case underscores the diverse endoscopic appearances of LAMN type 2 and emphasizes the importance of early recognition and treatment to prevent PMP progression, highlighting the crucial role of endoscopic physicians in appendix-related diseases.
Affordances Modulate the Perception of Object Saturation and Orientation in a Change Detection Task When Bottom-Up Attentional Strategies are Minimized
Authors: Jensen Amira , Hofer Nisa , Karl Jenni 
Published: July 2024

Abstract

The visual system uses high-level knowledge to predict and constrain incoming sensory signals to increase the speed and efficiency of object recognition and action. Thus, we hypothesized that graspable objects would bias lower-level visual processing toward action-relevant object features (e.g., orientation) while non-graspable objects would bias toward less action-relevant features (e.g., saturation). Participants viewed images of objects that did or did not afford grasping and were located close to or far from the participant. Participants indicated, via a right-handed key press, whether the object decreased, didn’t change, or increased, in orientation or saturation. Participants were faster and more accurate at detecting changes in orientation versus saturation, graspable versus non-graspable objects, and far versus close objects, but no interaction effects were found. Upon eliminating objects that were easily parsed into their constituent elements, and thus encouraged bottom-up attentional strategies that circumvent top-down processes, participants were more accurate at detecting orientation changes in graspable objects and faster at detecting saturation changes in non-graspable objects. The results provide partial support for the hypothesis that object affordances modulate low-level visual processes in an action-relevant manner but highlight the importance of accounting for individual differences in attentional strategies when interpreting experimental results from visual cognition tasks.