bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing paper-based and mobile application for rank-based peer assessment in interprofessional education: before, during, and after the COVID-19 pandemic
Authors: Widyandana Doni , Utomo Prattama Santoso , Setiawan Ide Pustaka , Kurniawati Yustina Tyas , Dandekar Sucheta 
Published: August 2024

Abstract

Background:
Education was affected during the COVID-19 pandemic, and there was a need to adapt the learning approaches to the situation. At the University of Gadjah Mada, many essential soft skills of healthcare professionals are taught using the interprofessional education (IPE) approach on-site. Our university responded to this crisis by offering online classes and similar types of training. Post-administration of the course, a peer-assessment was conducted, and it was used to provide feedback on the work or performance of peers among students. Peer assessment was done using paper-based and a mobile application during COVID-19. This study aimed to share a best practice for the implementation of a rank-based peer-assessment application for longitudinal interprofessional education in the community setting and to compare the score distribution of a rank-based peer-assessment before and after using mobile application.
Methods
Quantitative research design was used by processing secondary data on student peer assessment scores from 3 bachelor programs (medicine, nursing, nutritionist) Community and Family Health Care with Interprofessional Education (CFHC-IPE) in Faculty of Medicine, Nursing, and Public Health, Universitas Gadjah Mada. 4,790 students from 2018 to 2022 (5 years) were tracked before, during, and after the COVID-19 pandemic. The assessments carried out were offline, online, and blended learning, respectively. The assessment was carried out using a paper-based method before and during the pandemic, online-based with a mobile application was used. Thus, the peer-assessment was conducted manually or using paper-based method using a 5-rank scoring system. In 2019, the peer assessment was carried out using a mobile application and applied a 10-rank scoring system.
Results
The rank-based peer assessment can be well implemented to make students assess their friends more objectively, with an average score 82.02 ± 8.68. The rightward shift in the distribution of scores indicates that the average score has improved after using the mobile application compared to before its use. (82.02 ± 8.68 vs 62.39 ± 11.13, p < 0.05).
Conclusion
The implementation of rank-based peer-assessment using a mobile application was well received during and after the pandemic by interprofessional undergraduate students. The online system made the assessment more objective and the average grades were seen to be better.
Electronic and Magnetic Transitions in Infinite Layer Nickelates by Strain-Orbital
Engineering
Authors: Zhang Yajun , He Xu , Yong Huadong , Wang Jie , Zhang Xingyi , Ghosez Philippe 
Published: August 2024

Abstract

Two-dimensional (2D) magnetic interactions, a single dx2-y2 band, and strong orbital splitting between dx2-y2 and d3z2-r2 orbitals are essential characteristics of cuprate superconductors. However, infinite-layer nickelates with small rare-earth ion display three-dimensional (3D) magnetic correlations, itinerant Ni d3z2-r2 band at the Fermi level, and weak orbital splitting between two eg orbitals, strikingly different from those of cuprate, which might be detrimental for superconducting properties. Here, through first-principles calculations, we predict that epitaxial strain in infinite-layer nickelates RNiO2 could fulfill the deliberate switching from 3D to 2D electronic and magnetic transitions. A general strain-orbital-spin relationship is proposed, and the strain controlled relative position of the localized Ni dx2-y2 band and itinerant Ni d3z2-r2 band are revealed to be the key ingredient that governs the Fermi surface and strength of the interlayer magnetic interactions. For RNiO2 with smaller rare-earth ion like DyNiO2, we propose that the desired cuprate-like electronic structure and 2D magnetic dimensionality could be successfully realized by compressive strain through tuning the energy level of Ni dx2-y2 and d3z2-r2 bands. We further develop a finite-temperature lattice wannier model and a Heisenberg spin model, which establish a complete temperature- and strain-dependent structural and magnetic phase diagram of epitaxial DyNiO2 thin films. Our work opens new perspective for the modulation of lattice, orbital, and spin states in infinite-layer nickelates and provides rich structural, electronic, and magnetic flexibility for the control of the superconducting-related properties.
WITHDRAWN: Developing a Risk Model of Lipid Metabolism-associated Genes: Implications for Clinical Prognosis and Tumor Immune Microenvironment in Gastric Cancer
Authors: Xiao Yanan , Yu Qin , Zhu Zewen , Zhou Shan , Wu Zhe , Luo Xin , Peng Hui , Zhan Zhiqiang 
Published: August 2024

Abstract

Background
Gastric cancer (GC) remains a significant clinical challenge due to its high mortality rate and complex pathophysiology. Recent advances have suggested that lipid metabolism plays a crucial role in the progression and prognosis of gastric cancer. This study aims to assess the implications of lipid metabolism-associated genes (LMAGs) in the molecular clinical prognosis and tumor immune microenvironment of GC.
Methods
We analyzed RNA-seq sequencing data from 371 GC transcriptomes in The Cancer Genome Atlas (TCGA) and 433 clinic datasets from the Gene Expression Omnibus (GEO). We selected the top 100 LMAGs for analysis. We applied univariate Cox regression to identify survival-related genes and used consensus clustering to explore molecular subtypes. We also performed copy number variation (CNV) and functional enrichment analysis. Using the LASSO and Cox regression analyses to construct and validate the GC-related prognostic risk model.
Results
A total of 3911 differentially expressed genes (DEGs) delineated distinct transcriptomic profiles between GC and normal gastric tissues were identified. Among these, 43 LMAGs were significantly associated with survival, most of which were poor prognostic factors. CNV analysis indicated prevalent gains in LMAGs in tumor samples. Consensus clustering revealed two distinct molecular subtypes (ARGcluster A and ARGcluster B) with significant differences in survival outcomes and gene expression profiles. Additionally, immune profiling revealed that ARGcluster A, associated with poorer outcomes, exhibited higher levels of pro-tumorigenic immune cells. Finally, we validated the expression, prognosis, and immune infiltration of fourteen key LMAGs in GC.
Conclusion
This study underscores the association between LMAGs with the prognosis and tumor immune microenvironment in GC. Further research is needed to validate these findings and explore potential therapeutic targets within the lipid metabolism pathway.
Polymeric Mixed Micelles with Triple Stimuli-Responsive Characteristics and Förster Resonance Energy Transfer Phenomenon for Drug Delivery System of Chemotherapy and Photodynamic Therapy
Authors: Lin Hong-Jia , Hong Li-Xuan , Wu Wen-Chung 
Published: August 2024

Abstract

In recent years, chemotherapy has been used in cancer treatment commonly. However, the hydrophobic property and non-selective apoptosis still limit its application. In recently, the drug delivery systems (DDS) such as polymer micelles, liposomes, and dendrimer are widely developed to improve the efficiency of chemotherapy. In this work, the amphiphilic polymer was used to encapsulate the Doxorubicin (DOX) through the self-assembly process to form the polymer micelles, and the drug release of DOX was controlled by the temperature-sensitive monomer (triethylene glycol methacrylate, TEGMA) and redox-responsive group (disulfide bond, S-S). On the other hand, the intracellular internalization was improved by the photosensitizer drug (protoporphyrin IX, PpIX) through the photochemical internalization (PCI) process. The lower critical solution temperature (LCST) of micelles in this work was 37.6 oC, and the in-vitro test showed that 96% of DOX was released under acid condition with high level of redox agent. Finally, the chemotherapy was confirmed by the cytotoxicity assays and confocal laser scanning microscope (CLSM).
Advanced Test Methodologies for Evaluation of Android Mobile Antivirus
Authors: Ryu Youngrak , Shin Kangsik , Lee Jeongho , Jung Dong-Jae , Cho Ho-Mook 
Published: August 2024

Abstract

The increasing reliance on mobile devices for sensitive activities has amplified the need for effective mobile antivirus solutions, particularly for the Android operating system, which is more susceptible to security threats due to its open source framework. This study aims to fill the gap in standardized evaluation criteria for mobile antivirus by developing comprehensive evaluation criteria and creating an experimental environment to assess various commercial antivirus products available on the Google Play Store. Key evaluation criteria included detection performance, resource optimization, update frequency, user-friendliness, and device compatibility. Results indicated that most antivirus products exhibited high detection rates, especially against financial malware, although there was notable variability in response times and update cycles, with two products significantly underperforming in both detection efficiency and speed. The study underscores the necessity for enhanced detection rules to reduce false positives and better handle potentially unwanted applications. This research provides a critical foundation for users to make informed decisions regarding antivirus products and for developers to improve the effectiveness of mobile antivirus solutions. Future work will focus on refining detection methodologies and expanding evaluation protocols to adapt to the rapidly evolving landscape of cyber threats, ensuring robust protection for mobile device users.
The genetics of fruit skin separation in date palm
Authors: Younuskunju Shameem , Mohamoud Yasmin A. , Mathew Lisa Sara , Mayer Klaus F. X. , Suhre Karsten , Malek Joel A. 
Published: August 2024

Abstract

The physical appearance of date palm (Phoenix dactylifera) fruit (dates) is important for its market value. Many date-producing countries experience significant financial losses due to the poor appearance of the fruit, skin separation or puffiness being a major reason. Previous research showed evidence linking the skin separation phenotype to environmental conditions. In this study, we show that there is both an environmental and genetic contribution to the fruit skin separation phenotype. We show that beyond environmental factors, genetics is a strong contributor to the most extreme skin separation in some cultivars. To investigate this further, a genome-wide association study was conducted using genome data from 199 samples collected from 14 countries that identified nine genetic loci associated with this phenotype and investigated genes in these regions that may contribute to the phenotype overall. Identifying the genetic factors may help better understand the biology and pathways that lead to the environmental effects on skin separation and improve commercial date production. In conclusion, our key finding is that both environmental and genetic factors contribute to skin separation variation, and improvements in environmental factors alone cannot overcome the extreme level of variation observed in some cultivars.
Non-structural carbohydrates dynamics of Pinus yunnanensis seedlings under three levels of continuous drought stress
Authors: Deng Xin , Chen Xin , Lan Ping , Li Tianyu , Yang Jingwen , Zhang Hang , Zheng Li , Liu Yaocong , Wu Junwen 
Published: August 2024

Abstract

There is limited understanding of how drought stress intensity and duration affect the dynamic changes of Non-structural carbohydrates (NSC) in various organs of seedlings, and there is a lack of consistent research results among different species. We performed experiments on the dynamics of NSC in different organs of Pinus yunnanensis seedlings under three continuous drought stresses from March 14 to May 12, 2021, respectively, with four levels of water gradients of suitable moisture (CK), light drought (LD), moderate drought (MD), and severe drought (SD). The results showed that the distribution of NSC in P. yunnanensis seedlings varied with drought stress intensity and duration. The NSC content of each organ (needles, stems, coarse roots and fine roots) showed different trends with the increase of drought stress intensity in different time periods, respectively. After 15d of drought stress, the intensity of drought stress had no effect on needle, stem and coarse root NSC contents, while the fine root NSC contents decreased significantly. At 30d and 45d, drought stress intensity had no significant effect on the NSC content of each organ. However, at 60d, the stem NSC content increased significantly under MD and SD conditions, while the fine root NSC content decreased significantly under SD conditions. With the extension of the drought duration, the coarse root NSC increased while the fine root NSC content decreased under SD conditions. The results showed that the drought duration played an important role in the dynamic change pattern of NSC, only a decrease in fine root was observed at the initial drought phase, and 60d was a turning point when significant changes in NSC occurred at the organ level. This is of great significance to better understand the dynamic changes of NSC in the organ level under drought stress.
Unstable collapse analysis of SPBS in saturated sand based on model experiment
Authors: Li Yunfa , Wu Guojun , Chen Weizhong , Yuan Jingqiang , Huo Mengzhe , Liu Yubiao 
Published: August 2024

Abstract

The instability of the tunnel face during shield tunnelling can lead to extensive surface subsidence in saturated sand, potentially leading to ground collapse accidents that pose a serious threat to the safety of surface infrastructure. In order to study the mechanism of ground collapse induced by face instability, a laboratory-scale slurry pressure balance shield (SPBS) machine system is employed to simulate the entire process of tunnelling. The soil pressure, pore water pressure, and surface subsidence response during unstable are revealed through multi-field monitoring. The morphological evolution characteristics of collapse pits are analyzed using 3D scanning technology. The experimental results indicate that: (1) The key to stable tunnelling is to balance the pressure in slurry chamber with tunnelling speed, which ensures the formation of filter cake in front of the cutterhead. (2) The torque of the cutterhead, soil pressure, and surface subsidence will respond significantly and synchronously when the tunnel face is unstable, whereas the soil and water pressures are relatively less noticeable. (3) Continuous tunnelling results in a gentler angle of repose and a wider range of collapse of the collapsed pit in the longitudinal direction. (4) The formula for predicting the duration of collapse is proposed which integrates the evolution patterns of the collapse pit effectively and has been well-validated by comparison with these experimental results. The study provides a reference for the safe construction of tunnel engineering in saturated sand.
Microbial community composition and Co-occurrence network analysis of the rhizosphere soil of the main constructive tree species in Helan Mountain of Northwest China
Authors: Yang Yuze , Li Yue , Hao Ke , Zhao Yujia , Fan Yongjun , Li Min 
Published: August 2024

Abstract

To understand the microbial diversity and community composition of the main constructive tree species, Picea crassifolia, Betula platyphylla, and Pinus tabuliformis, in Helan Mountain and their response to changes in soil physicochemical factors, high throughput sequencing technology was used to analyze the bacterial and fungal diversity and community structure. RDA and Pearson correlation analysis were used to explore the influence of soil physicochemical factors on microbial community construction, and co-occurrence network analysis was conducted on the microbial communities. The results showed that the fungal and bacterial diversity was highest in B. platyphylla, and lowest in P. crassifolia. Additionally, the fungal/bacterial richness was greatest in the rhizosphere soils of P. tabuliformis and B. platyphylla. RDA and Pearson correlation analysis revealed that NN and AP were the main determining factors of the bacterial community, while NN and SOC were the main determining factors of the fungal community. Pearson correlation analysis between soil physicochemical factors and the alpha diversity of the microbial communities revealed a significant positive correlation between pH and the bacterial and fungal diversity, while SOC, TN, AP, and AN were significantly negatively correlated with the bacterial and fungal diversity. Co-occurrence network analysis revealed that the soil bacterial communities exhibit richer network nodes, edges, greater diversity, and greater network connectivity than the fungal communities, indicating that the bacterial communities bacteria exhibit more complex and stable interaction patterns in soil. The research results can provide guidance for understanding the interactions between microorganisms in forest ecosystems and the relationships between microbial community composition and ecosystem functions.
Scalable Production of Bio-Calcium Oxide via Thermal Decomposition of Solid - Hatchery Waste in a Laboratory-Scale Rotary Kiln
Authors: Chuakham Suwanan , Putkham Ajchara I. , Chaiyachet Yuwadee , Saengprajak Arnusorn , Banlue Kriangsak , Tanpaiboonkul Nipon , Putkham Apipong 
Published: August 2024

Abstract

Chicken eggshell waste is an alternative renewable source for quicklime production. Eggshell waste has received significant attention from researchers due to it being a potential source of bio-CaO, which not only drives the circular economy concept but also supports sustainable development. However, experiments on the production of bio-CaO are normally conducted in a small lab-scale furnace. Furthermore, the eggshell raw material is collected from canteens or households, which is not suitable for economical or industrial production. Therefore, this study investigated the factors affecting the bio-CaO production from hatchery waste via both batch and continuous calcination process in a laboratory-scale rotary kiln for the first time. The eggshells were first separated from the solid hatchery waste. Then, the effect of preparation methods of raw eggshells on the properties of bio-CaO was investigated, e.g., eggshells with and without membrane separation, various particle sizes, and with an increase of the percent raw material filling in the kiln from 5–20%. Calcination of the samples was performed in a rotary kiln at 800°C with a 0.5 RPM rotating speed and a 5° inclination of the kiln. The effects of the calcination process in either an air or N2 atmosphere on the calcined product were also observed. Instrumental analysis shows that the production yield and purity of bio-CaO were in the range of 49–56 wt% and 97–98%, respectively. The results also indicated that the production yield of bio-CaO decreased to 17.7% with a decrease in the raw material particle size from 3.3 mm to 250 µm. Moreover, the production of bio-CaO with eggshells containing eggshell membrane decreases the purity of calcium oxide by about 0.7–1.0%. In addition, further increasing the filling volume of the kiln from 5–20% had only a slight effect on the purity and yield of the product. These results imply that it is not necessary to remove the eggshell membrane from the raw eggshells in order to produce industrial-grade CaO from the raw eggshell. These new findings can likely be used to develop an alternative process design to reduce the manufacturing cost of bio-CaO produced from hatchery waste. Furthermore, this present study reveals that the specifications of the obtained bio-CaO comply with both Thai industrial standards and international food additive standards.
Advanced sperm preservation techniques for yellow-spotted mountain newts (Neurergus derjugini): implications for genetic management and conservation
Authors: Taheri-Khas Zeynab , Gharzi Ahmad , Vaissi Somaye , Heshmatzad Pouria , Kalhori Zahra 
Published: August 2024

Abstract

Advances in cold storage and cryopreservation of amphibian sperm are critical for the genetic management and conservation of threatened species. This study represents the first investigation into the sperm of the yellow-spotted mountain newt (Neurergus derjugini), focusing on both short-term and long-term storage for future reproductive efforts. We examined the effects of seven extenders on sperm motility over time at three storage temperatures (4±1 °C, 9±1 °C, and 20±1 °C). Additionally, we assessed the impact of 16 cryoprotectants on sperm motility and morphology post-thawing. Following the identification of the most effective freezing medium, we evaluated sperm DNA fragmentation to ensure viability. Our results indicate that 10% Holtfreter’s solution is the optimal extender for short-term storage at all three temperatures, maintaining sperm motility for up to 15 days at 4 °C. For long-term storage, a combination of 10% Holtfreter’s solution and 10% DMSO was found to best preserve sperm motility, morphology, and minimize DNA fragmentation after thawing. These findings underscore the importance of specific extenders and temperature treatments in enhancing sperm functionality, thereby supporting successful assisted reproductive technologies (ART) for endangered species.
A Novel Integrating Multimodel Sensor Data with Machine Learning for Stress Detection
Authors: J Vijaya , Singh Ashutosh , Singh Khushdeep , Kumar Amit 
Published: August 2024

Abstract

Stress is a common aspect of modern life that affects bothphysical and mental well-being. While too much stress can have negativeconsequences, manageable levels of stress can actually foster creativityand problem-solving skills. Therefore, it’s important to monitor and man-age stress in order to maintain good health, which highlights the needfor accessible mental health support programs. Wearable devices likesmartwatches offer promising solutions by measuring physiological indi-cators such as electrodermal activity (EDA) to assess stress levels. Thisstudy aimed to investigate using indicators from wearable devices wornon the wrist to predict stress levels. We analyzed data from the WESADdataset and used seven machine learning algorithms, including Logis-tic Regression (LR), Random Forest (RF), K-Nearest Neighbors (KNN),and Decision Tree (DT). It is interesting to note that both Random For-est (RF) and Decision Tree (DT) algorithms achieved an accuracy rateof 99% for both sets of features - All Features and Extracted Features.