bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Current Filaments on IGBT Avalanche Robustness: A Simulation Study
Authors: Zhang Jingping , Luo Houcai , Wu Huan , Zheng Bofeng , Chen Xianping , Zhang Guoqi , French Paddy , Wang Shaogang
Published: June 2024

With the increase in voltage level and current capacity of the insulated gate bipolar transistor (IGBT), the avalanche effect has become an important factor limiting the safe operating area (SOA) of the device. The hole injection into the p/n junction on the backside of the IGBT after avalanche is the main feature that distinguishes the avalanche effect from other devices. In this paper, the avalanche breakdown characteristics of IGBT and the nature of current filament are investigated using theoretical analysis and numerical simulation, and the underlying physical mechanism controlling the nature of current filaments is revealed. The results show that the hole injection on the backside of the IGBT leads to an additional negative differential resistance (NDR) branch on the avalanche breakdown curve. The device’s common-base current gain, αpnp, is a crucial factor in determining the current filament. As αpnp increases, the avalanche-induced current filament becomes stronger and slower, resulting in weaker avalanche robustness of the device.
Self-Adaptive Server Anomaly Detection Using Ensemble Meta-Reinforcement Learning
Authors: Chang Bao Rong , Tsai Hsiu-Fen , Chen Guan-Ru
Published: June 2024

As the user’s behavior changes at any time with cloud computing and network services, abnormal server resource utilization traffic will lead to severe service crashes and system downtime. The traditional single anomaly detection model cannot handle the rapid failure prediction ahead. Therefore, this study proposed ensemble learning combined with model-agnostic meta-reinforcement learning called ensemble meta-reinforcement learning (EMRL) to implement self-adaptive server anomaly detection rapidly and precisely, according to the time series of server resource utilization. The proposed ensemble approach combines hidden Markov model (HMM), variational autoencoder (VAE), temporal convolutional autoencoder (TCN-AE), and bidirectional long short-term memory (BLSTM). The EMRL algorithm trains this combination with several tasks to learn the implicit representation of various anomalous traffic, where each task executes trust region policy optimization (TRPO) to quickly adapt the time-varying data distribution and make rapid decisions precisely for an agent response. As a result, our proposed approach can improve the precision of anomaly prediction by 2.4 times and reduce the model deployment speed by 5.8 times on average because a meta-learner can immediately be applied to new tasks.
A Low-Bit-Rate Image Semantic Communication System Based on Semantic Graph
Authors: Dong Jiajun , Yan Tianfeng , Sun Wenhao
Published: June 2024

In the progress of research in the field of semantic communication, most efforts have been focused on optimizing the signal-to-noise ratio (SNR), while the design and optimization of the bit rate required for transmission have been relatively neglected. To address this issue, this study introduces an innovative low-bit-rate image semantic communication system model, which aims to reconstruct images through the exchange of semantic information rather than traditional symbol transmission. This model employs an image feature extraction and optimization reconstruction framework, achieving visually satisfactory and semantically consistent reconstruction performance at extremely low bit rates (below 0.03 bits per pixel (bpp)). Unlike previous methods that used pixel accuracy as the standard for distortion measurement, this research introduces multiple perceptual metrics to train and evaluate the proposed image semantic encoding model, aligning more closely with the fundamental purpose of semantic communication. Experimental results demonstrate that, compared to WebP, JPEG, and deep learning-based image codecs, our model not only provides a more visually pleasing reconstruction effect but also significantly reduces the required bit rate while maintaining semantic consistency.
Medical Education Escape Room Aligned with Flipped Classroom and Powered by Mobile Augmented Reality
Authors: Antoniou Panagiotis E. , Papamalis Fivos , Dafli Eleni , Poultourtzidis Ioannis , Schwarz Daniel , Woodham Luke , Dimitriadis Sarantis , Tagaras Konstantinos , Kyriakidis Nikolaos , David Panagiotis , Nikolaidou Maria , Skříšovská Tamara , Poulton Terry , Bamidis Panagiotis D.
Published: June 2024

Medical education escape rooms are emerging as a viable technological resource for pedagogy-first, learner-centric educational activities. This work presents the evaluation results of the first flipped classroom implementation in medical education, thus utilizing a mobile-driven augmented reality (AR) escape room. A total of 21 first-year medical students attended a flipped classroom educational activity that aimed to acclimate the students with the workflows of basic life support. Knowledge acquisition and user perceptions were evaluated. Knowledge acquisition was evaluated with an ad hoc relevant instrument at three timepoints: (a) baseline at recruitment, (b) preclass after students had prepared for the episode, and (c) after class. Learner perceptions about the activity and the AR escape room were recorded at the activity’s end using a previously designed evaluation instrument. The results demonstrated sufficient knowledge acquisition only after completing the whole educational activity, while learners found the experience interesting, and the AR escape room challenging, thus reflecting an activity that was well formulated in structure and content. The challenges identified were the limited out of class collaboration capacity of the digital application and the highly gamified approach that at points counteracted the educational scope of the activity. Overall, these positive initial results demonstrate the potential of collaborative, escape based, activities for self-directed, learner-centric medical education.
Methods and Challenges of Cryptography-Based Privacy-Protection Algorithms for Vehicular Networks
Authors: Li Yijing , Bi Ran , Jiang Nan , Li Fengqiu , Wang Mingsi , Jing Xiangping
Published: June 2024

With the rapid development of wireless communication technology, positioning technology, and modern smart devices, Internet of Vehicles (IoVs) smart vehicles have brought great convenience to human production and life. Meanwhile, privacy and security issues are becoming extremely serious, with serious consequences if sensitive data such as vehicle location and trip patterns are leaked. This paper focuses on the demands for vehicular network security, especially privacy protection and existing privacy-protection techniques, including common cryptography methods and cryptography-based advanced technologies. At the same time, this paper also analyzes the advantages and challenges of these technologies in protecting privacy and network security in the Internet of Vehicles, such as the challenges of computational resource requirements and security efficiency in the implementation process, as well as the complexity of realizing effective privacy protection in the interactions among different entities. Finally, this paper envisions the development of privacy-preserving application scenarios and the prospects for crypotography-based privacy-preserving technologies.
Heat Pumps with Smart Control in Managing Australian Residential Electrical Load during Transition to Net Zero Emissions
Authors: Rapucha Adrian , Narayanan Ramadas , Jha Meena
Published: June 2024

Australia, like many other countries around the world, is undergoing a transition toward net zero emissions. It requires changes and development in many sectors, which not only bring benefits but also challenges. The rapid growth in renewable energy sources (RESs) is necessary to decarbonise electricity generation but negatively affects grid stability. Residential buildings also contribute to this issue through specific load profiles and the high penetration of rooftop photovoltaic (PV) installations. Maintaining grid balance will be crucial for further emissions reductions. One of the potential solutions can be the replacement of conventional heating and cooling systems in houses with solutions capable of storing energy and shifting the electrical load. As presented in this paper, heat pumps and hydronic systems can significantly improve the electrical load of a typical South Australian household when they are controlled by algorithms reacting to the current grid conditions and household-generated electricity compared to conventional solutions. TRNSYS 18 simulations of air source and ground source heat pump systems with smart control based on measured electricity consumption and domestic hot water usage data showed the possibility of total energy consumption reduction, shifting the load from peak periods towards periods of excessive RES generation and increasing self-consumption of rooftop PV electricity. These improvements reduce the amount of emissions generated by such a household and allow for further development of other sectors.
Comparison of Bio-Coke and Traditional Coke Production with Regard to the Technological Aspects and Carbon Footprint Considerations
Authors: Krupanek Janusz , Gałko Grzegorz , Sajdak Marcin , Pogrzeba Marta
Published: June 2024

In a world facing the challenges of climate change, it is imperative to prioritize the search for sustainable technical solutions. This study focuses on evaluating the environmental impact of using bio-coke compared to traditional metallurgical coke, employing Life Cycle Assessment (LCA) as the evaluation tool. Bio-coke, produced from a blend of coking coals enriched with biomass, offers greater environmental potential than traditional coke due to a reduced share of non-renewable raw materials. The steel and coking industries are significant contributors to carbon dioxide emissions. LCA provides a comprehensive assessment of the environmental impact of bio-based additives, considering raw material deliveries, the coking process, application in metallurgy, and product end-of-life disposal. The analysis results indicate that the use of biomass additives leads to lower greenhouse gas emissions compared to coke production without bio-additives. Given the urgency of addressing global warming and the increasing demand for sustainable energy sources, this study’s findings can advocate for bio-coke as a more environmentally friendly alternative to traditional coke in the steel industry.
Smart Operation Control of Power and Heat Demands in Active Distribution Grids Leveraging Energy Flexibility
Authors: Sinha Rakesh , Chaudhary Sanjay K. , Bak-Jensen Birgitte , Golmohamadi Hessam
Published: June 2024

Demand flexibility plays a crucial role in mitigating the intermittency of renewable power sources. This paper focuses on an active distribution grid that incorporates flexible heat and electric demands, specifically heat pumps (HPs) and electric vehicles (EVs). Additionally, it addresses photovoltaic (PV) power generation facilities and electrical batteries to enhance demand flexibility. To exploit demand flexibility from both heat and electric demand, along with the integration of PVs and batteries, Control and Communication Mechanisms (CCMs) are formulated. These CCMs integrate demand flexibility into the distribution grids to obtain economic benefits for private households and, at the same time, facilitate voltage control. Concerning EVs, the paper discusses voltage-based droop control, scheduled charging, priority charging, and up-/down-power regulation to optimize the charging and discharging operations. For heat demands, the on-off operation of the HPs integrated with phase change material (PCM) storage is optimized to unlock heat-to-power flexibility. The HP controllers aim to ensure as much self-consumption as possible and provide voltage support for the distribution grid while ensuring the thermal comfort of residents. Finally, the developed CCMs are implemented on a small and representative community of an active distribution grid with eight houses using Power Factory software and DIgSILENT simulation language (DSL). This scalable size of the active distribution network facilitates the careful study of symbiotic interaction among the flexible load, generation, and different houses thoroughly. The simulation results confirm that the integration of flexible demands into the grid using the designed CCMs results in the grid benefiting from stabilized voltage control, especially during peak demand hours.
Impact of Root Cutting on Acer platanoides and Tilia cordata Tree Stability in Urban Parks: A Case Study in Quebec City, Canada
Authors: Pallafray Clément , Sivarajah Sivajanani , Ruel Jean-Claude
Published: June 2024

Trees growing in urban environments are often impacted by maintenance or construction work involving the cutting of roots. Tree protection zones have been proposed to avoid critical damage to the tree. However, despite incorporating quantitative information, they heavily rely on expert judgement that remains to be validated. In a study conducted across six parks in Quebec City, Canada, two commonly found tree species, Acer platanoides L. and Tilia cordata Mill., presumed to be different in terms of vulnerability to root damage, were subjected to a range of trenching treatments. The trees were between 23 and 40 cm diameter at breast height (DBH). A safety factor was calculated relating the turning moment the tree can withstand to the turning moment imposed by high winds likely to occur. The safety factor against uprooting was assessed for each tree before and after root trenching using a non-destructive pulling approach. The effects of tree species, distance to the trench, and their combined interaction were tested on tree stability. The relationship between tree stability and soil texture, tree characteristics, and the number of damaged roots were also tested. Safety factors were initially variable, ranging from 0.5 to 4.5. T. cordata safety factors were lower than those of A. platanoides and influenced by soil texture. Trenching treatments had no effect on the safety factor, even when two perpendicular trenches were dug at 1 m from the stem. No index of the amount of root damaged was significantly related to the safety factor. Root trenching treatments that encroached closer to the tree trunk than the recommended tree protection zones did not affect the stability of both species. Nevertheless, it is essential to recognize that other ecophysiological processes might still be influenced, and long-term monitoring is crucial. Both should be taken into account when determining these zones.
Enhancing Freezing Stress Tolerance through Regulation of the Ubiquitin–Proteasome System in Saccharomyces cerevisiae
Authors: Tanahashi Ryoya , Nishimura Akira , Kan Kyoyuki , Ishizaki Natsumi , Fujishima Shiho , Endo Hisanori , Takagi Hiroshi
Published: June 2024

The baking industry is experiencing significant growth, primarily due to the widespread adoption of frozen dough baking. However, this process can negatively impact the fermentation ability of yeast, as freezing can induce stress in yeast cells. This study reports the molecular interplay between the ubiquitin–proteasome system and freezing stress tolerance in the yeast Saccharomyces cerevisiae. Using the proteasome inhibitor MG132, we first screened mutants with enhanced freezing stress tolerance. Three mutants showed elevated activity of the intracellular proteasome, particularly trypsin-like activity (more than threefold) and reduced sensitivity to MG132 inhibition of chymotrypsin-like activity (less than 0.125-fold). Genomic analysis of these mutants revealed mutations in the ROX1 gene, a heme-dependent repressor of hypoxic genes. Importantly, the ROX1 deletion strain displayed slightly improved freezing stress tolerance (about 1.5-fold). Comprehensive transcription analysis identified the ANB1 gene as a potential downstream target of Rox1. Overexpression of ANB1 enhanced freezing stress tolerance (about 1.5-fold) with increased the proteasome’s activity, indicating that Rox1 contributes to changes in the proteasome’s activity and freezing stress tolerance through the function of Anb1. The present data provide new insights into the mechanisms of freezing stress tolerance and help us improve the baking of frozen dough to produce higher-quality bread.
Adaptive Framework for Maintenance Scheduling Based on Dynamic Preventive Intervals and Remaining Useful Life Estimation
Authors: Nunes Pedro , Rocha Eugénio , Santos José
Published: June 2024

Data-based prognostic methods exploit sensor data to forecast the remaining useful life (RUL) of industrial settings to optimize the scheduling of maintenance actions. However, implementing sensors may not be cost-effective or practical for all components. Traditional preventive approaches are not based on sensor data; however, they schedule maintenance at equally spaced intervals, which is not a cost-effective approach since the distribution of the time between failures changes with the degradation state of other parts or changes in working conditions. This study introduces a novel framework comprising two maintenance scheduling strategies. In the absence of sensor data, we propose a novel dynamic preventive policy that adjusts intervention intervals based on the most recent failure data. When sensor data are available, a method for RUL prediction, designated k-LSTM-GFT, is enhanced to dynamically account for RUL prediction uncertainty. The results demonstrate that dynamic preventive maintenance can yield cost reductions of up to 51.8% compared to conventional approaches. The predictive approach optimizes the exploitation of RUL, achieving costs that are only 3–5% higher than the minimum cost achievable while ensuring the safety of critical systems since all of the failures are avoided.
Development of a Phage-Displayed Nanobody-Based Competitive Immunoassay for the Sensitive Detection of Soybean Agglutinin
Authors: Zhang Menghan , Qiu Yulou , You Ajuan , Song Siyi , Yang Qin , Zhang Biao , Fu Xianshu , Ye Zihong , Yu Xiaoping
Published: June 2024

Soybean agglutinin (SBA) is a primary antinutritional factor in soybeans that can inhibit the growth of humans and mammals, disrupt the intestinal environment, and cause pathological changes. Therefore, detecting and monitoring SBA in foods is essential for safeguarding human health. In this paper, M13 phage-displayed nanobodies against SBA were isolated from a naive nanobody library. An M13 phage-displayed nanobody-based competitive enzyme-linked immunosorbent assay (P-cELISA) was then established for SBA analysis using biotinylated anti-M13 phage antibody (biotin-anti-M13) and streptavidin poly-HRP conjugate (SA-poly-HRP). The biotin-anti-M13@SA-poly-HRP probe can easily amplify the detection signal without the chemical modifications of phage-displayed nanobodies. The established P-cELISA presented a linear detection range of 0.56–250.23 ng/mL and a limit of detection (LOD) of 0.20 ng/mL, which was 12.6-fold more sensitive than the traditional phage-ELISA. Moreover, the developed method showed good specificity for SBA and acceptable recoveries (78.21–121.11%) in spiked wheat flour, albumen powder, and whole milk powder. This study proposes that P-cELISA based on biotin-anti-M13@SA-poly-HRP may provide a convenient and effective strategy for the sensitive detection of SBA.
Effect of Black Tea Polysaccharides on Alleviating Type 2 Diabetes Mellitus by Regulating PI3K/Akt/GLUT2 Pathway
Authors: Zhang Zhenbiao , Deng Xuming , Chen Ruohong , Li Qiuhua , Sun Lingli , Cao Junxi , Lai Zhaoxiang , Lai Xingfei , Wang Zaihua , Sun Shili , Zhang Lingzhi
Published: June 2024

The bioactivity of tea polysaccharides (TPs) has been widely reported, but studies to date have focused on green tea. Some human health investigations have implied that black tea may possess potential antidiabetic effects, but less is known about their potential role and related antidiabetic mechanism. The present study was, therefore, conducted to investigate the chemical properties and antidiabetic activity of TPs from black tea. Monosaccharide composition revealed that Alduronic acid (77.8 mol%) considerably predominated in the fraction. TP conformation analysis indicated that three components in TPs were all typical of high-branching structures. Oral administration of TPs could effectively alleviate fasting blood glucose in type 2 diabetes mellitus (T2D) mice, with the values 23.6 ± 1.42, 19.6 ± 2.25, and 16.4 ± 2.07 mmol/L in the 200, 400, and 800 mg/kg·BW groups, respectively. Among these TPs groups, the 800 mg/kg·BW groups significantly decreased by 37.88% when compared with the T2D+water group (p < 0.05). Further studies demonstrated that TP treatment upregulated the expression of p-Akt/p-PI3K (p < 0.001). Additionally, TP treatment significantly promoted glucose transporter protein 2 (GLUT2) translocation in the liver (p < 0.001). These findings suggest that TPs from black tea protect against T2D by activating PI3K/Akt/GLUT2 signaling and might serve as a novel therapeutic candidate for T2D.
Overcoming Barriers: Trajectories for a School Environment That Promotes the Participation of Adolescents with Chronic Conditions
Authors: Cerqueira Ana , Botelho Guedes Fábio , Gaspar Tania , Godeau Emmanuelle , Simões Celeste , de Matos Margarida Gaspar
Published: June 2024

The characteristics of the school environment can influence students’ participation. Therefore, exploring the existing barriers to school participation and academic success of students with chronic conditions (CCs) is essential since they are a population at an increased risk for impairments and difficulties in these areas. This specific study aimed to explore the personal and school-environment variables associated with the school participation of students with CCs. Additionally, it aimed to analyze the differences between (1) male and female adolescents concerning the impact of CCs on school participation and the personal and school-environment variables; and (2) adolescents with and without school participation affected by the existing CCs regarding personal and school-environment variables. This work included 1442 adolescents with CCs, 56.3% female (n = 769), with a mean age of 15.17 years (SD = 2.33), participating in the Health Behavior in School-Aged Children (HBSC) 2022 study. The results showed that girls and students with school participation affected by CCs are at greater risk regarding the personal and school-environment variables under study. In the multivariable logistic regression analysis of the association between these variables and the school participation of students with CCs, a greater weight of personal variables was observed, followed by those of the school environment related to interpersonal relationships and, finally, the physical environment and safety-at-school variables. The study highlights the relevance of considering the existing barriers to school participation and academic success of students with CCs. The results also underline the importance of aligning the intervention of health and education professionals and policymakers. All of these professionals must make a joint effort to overcome existing barriers in the school context and move towards an increasingly balanced environment that promotes and protects the equal participation of all students.
Binary Pea Protein–Psyllium Hydrogel: Insights into the Influence of pH and Ionic Strength on the Physical Stability and Mechanical Characteristics
Authors: Hilal Adonis , Florowska Anna , Domian Ewa , Wroniak Małgorzata
Published: June 2024

Food hydrogels, used as delivery systems for bioactive compounds, can be formulated with various food-grade biopolymers. Their industrial utility is largely determined by their physicochemical properties. However, comprehensive data on the properties of pea protein–psyllium binary hydrogels under different pH and ionic strength conditions are limited. The aim of this research was to evaluate the impact of pH (adjusted to 7, 4.5, and 3) and ionic strength (modified by NaCl addition to 0.15 and 0.3 M) on the physical stability, color, texture, microrheological, and viscoelastic properties of these hydrogels. Color differences were most noticeable at lower pH levels. Inducing hydrogels at pH 7 (with or without NaCl) and pH 4.5 and 3 (without NaCl) resulted in complete gel structures with low stability, low elastic and storage moduli, and low complex viscosity, making them easily spreadable. Lower pH inductions (4.5 and 3) in the absence of NaCl resulted in hydrogels with shorter linear viscoelastic regions. Hydrogels induced at pH 4.5 and 3 with NaCl had high structural stability, high G’ and G” moduli, complex viscosity, and high spreadability. Among the tested induction conditions, pH 3 with 0.3 M NaCl allowed for obtaining a hydrogel with the highest elastic and storage moduli values. Adjusting pH and ionic strength during hydrogel induction allows for modifying and tailoring their properties for specific industrial applications.
An Efficient Solution for Probabilistic Slope Seismic Stability Analysis Based on Polynomial Chao Kriging Metamodel
Authors: Zhang Tingting , Dias Daniel
Published: June 2024

Slope stability analysis plays a crucial role in geotechnical engineering, particularly in regions susceptible to seismic activity. The inherent non-homogeneity and uncertainty of soil properties pose significant challenges in assessing slope stability under seismic conditions. To address these complexities, a novel and efficient methodology named DUBLA-PDM-PCK is proposed. In this methodology, the effects of soil non-homogeneity and uncertainty, along with the time and spatial variations of seismic loading, are systematically considered. The deterministic framework integrates discretized upper bound limit analysis (DUBLA) to accommodate soil non-homogeneous characteristics, and the pseudo-dynamic method (PDM) to model seismic loading variability. Then, a robust and efficient probabilistic analysis method, PCK-MA, is implemented utilizing adaptive Polynomial Chaos Kriging metamodeling, Monte Carlo Simulation, and Analysis of Covariance to investigate the uncertainty of the parameters. This approach treats nine key parameters, including soil cohesion, friction angle, non-homogeneous coefficients, horizontal and vertical seismic coefficients, period, and amplification factor, as random variables to assess their uncertainty effects on failure probability (stability level) and sensitivity indices. The DUBLA-PDM-PCK methodology offers a streamlined and reliable tool tailored for assessing slope stability in seismic environments, demonstrating notable efficiency in addressing soil variability and seismic loading uncertainties. Its application holds promise for guiding engineering practices and enhancing understanding of slope behavior in regions prone to seismic hazards.
A Critical Review of Cone Penetration Test-Based Correlations for Estimating Small-Strain Shear Modulus in North Sea Soils
Authors: Stuyts Bruno , Weijtjens Wout , Jurado Carlos Sastre , Devriendt Christof , Kheffache Anis
Published: June 2024

The geotechnical characterisation of offshore wind farm sites requires measurement or estimation of the small-strain shear stiffness Gmax of the subsoil. This parameter can be derived from shear wave velocity Vs measurements if the bulk density of the soil is known. Since direct measurements of Vs are generally not available at all foundation locations in a wind farm, correlations with cone penetration test (CPT) results are often used to determine location-specific stiffness parameters for foundation design. Existing correlations have mostly been calibrated to onshore datasets which may not contain the same soil types and stress conditions found in the North Sea. The distinct geological history of the North Sea necessitates a critical review of these existing CPT-based correlations. They are evaluated against an extensive database of in situ Vs measurements in the southern North Sea. The importance of modelling the stress-dependent nature of Vs is highlighted, and a novel stress-dependent model for Vs from CPT data, which leads to an improved fit, is presented. As the small-strain stiffness is used as an input to foundation response calculations, the model uncertainty of the correlation can introduce significant uncertainty into the resulting foundation response. This transformation uncertainty is quantified for each of the correlations evaluated in this study and shows important variations.
Effects of Autoimmune Disorders on Myelodysplastic Syndrome Outcomes: A Systematic Review
Authors: Saowapa Sakditad , Polpichai Natchaya , Tanariyakul Manasawee , Suenghataiphorn Thanathip , Kulthamrongsri Narathorn , McCullough Maireigh , Damasceno Moreira Mariana Goncalves , Siladech Pharit , Tijani Lukman
Published: June 2024

Background: Autoimmune disorders (ADs) are prevalent among patients with myelodysplastic syndrome (MDS), yet their impact on MDS outcomes, including overall survival (OS), mortality, and transformation to acute myeloid leukemia (AML), is not well defined. Methods: We conducted a systematic review of articles published up to April 2024, sourced from PubMed, Web of Science, Embase, and Google Scholar, focusing on the influence of ADs on survival and AML transformation rates in MDS patients. The methodological quality of each study was assessed using the Newcastle Ottawa Scale. Results: From 8 studies that met the inclusion criteria, ADs were present in 17.5% (3074/17,481) of MDS patients. Data analysis indicated mortality rates ranging from 15.3% to 67% in MDS patients with ADs and 12% to 69% in those without. The rate of AML transformation varied from 0% to 23% in patients with ADs compared to 4% to 30% in those without. Conclusions: The influence of ADs on survival and AML transformation in MDS patients appears variable. This systematic review highlights the need for further large-scale prospective studies to clarify the relationship between ADs and MDS outcomes.
Changing Classroom Ecology to Support Continued Engineering Enrollment
Authors: Bahnson Matthew , McChesney Eric T. , DeAngelo Linda , Godwin Allison
Published: June 2024

Engineering requires more bachelor’s degree graduates to meet the growing demand for engineering skills globally. One way to address this demand is increasing student degree completion, which is lower than higher education in general. In particular, Black, Latino/a/x, and Indigenous (BLI) students are less likely to complete an engineering degree than their peers. BLI students experience a host of unwelcoming behaviors in engineering environments that contribute to departure without their intended degree. Improving environments to support belonging may offer one solution. Through an ecological belonging intervention, we seek to improve continued enrollment and increase belonging. Quasi-experimental methods were used in a second-semester engineering programming course. Surveys collected before and after an intervention combined with institutional data were used to test the moderation effects of the intervention on continued enrollment in engineering during the semester following the intervention. BLI students who were enrolled in intervention treatment sections were more likely to be enrolled in engineering the following fall. The intervention treatment increased belonging such that control section participants were less likely to continue to be enrolled in engineering. While research to assess the efficacy and mechanisms of the intervention is ongoing, the intervention offers promising results to address attrition, particularly for BLI students.
Behind the Loss of Salinity Resistance during Domestication: Alternative Eco-Physiological Strategies Are Revealed in Tomato Clade
Authors: Pompeiano Antonio , Moles Tommaso Michele , Viscomi Viviana , Scartazza Andrea , Huarancca Reyes Thais , Guglielminetti Lorenzo
Published: June 2024

Salinity stress impairs growth and physiological performance in tomato, which is one of the most economically important vegetables and is widely cultivated in arid and semi-arid areas of the world. Plant landraces, which are heterogeneous, local adaptations of domesticated species, offer a unique opportunity to valorize available germplasm, underpinning the productivity, resilience, and adaptive capacity of staple crops in vulnerable environments. Here, we investigated the response of fully mature tomato plants from a commercial variety, an ancestral wild relative, and a landrace under short-term salinity exposure, as well as their ability to recover upon cessation of stress. The heterogeneous panel evaluated in this study revealed different adaptative strategies to cope the stress. Our data highlighted the ability of the tomato clade to handle low and intermediate salinity stress for short-term exposure time, as well as its capacity to recover after the cessation of stress, although inter- and intraspecific variations in morphological and physiological responses to salinity were observed. Overall, the landrace and the wild type performed similarly to control conditions under low salinity, demonstrating an improved ability to maintain ionic balance. In contrast, the commercial genotype showed susceptibility and severe symptoms even under low salinity, with pronounced reductions in K+/Na+ ratio, PSII photochemical efficiency, and photosynthetic pigments. This research confirmed that improved salt tolerant genotypes can lead to substantial, positive impacts on horticultural production. While the salt tolerance mechanism of domesticated tomato was efficient under mild stress conditions, it failed at higher salinity levels.
Assessment and Mitigation of Groundwater Contamination from Phosphate Mining in Tunisia: Geochemical and Radiological Analysis
Authors: Hamed Younes , Gentilucci Matteo , Mokadem Naziha , Khalil Rayan , Ayadi Yosra , Hadji Riheb , Elaloui Elimame
Published: June 2024

Groundwater contamination in the Mediterranean Basin is a severe problem that has a significant impact on environmental ecosystems and human health. The unconventional uranium and the potentially toxic elements (PTEs) of phosphate rocks are the principal contaminants in the phosphate mining industry in Tunisia. Phosphogypsum (PG) results from the valorization of phosphate to fertilizers and phosphoric acid. PG stocks can be used in cement production, brick manufacturing, and soil amendments in desertic land, and can be resolved by using nanomaterial adsorbents. In the flat area of the study area, the increase in radioactivity (40K) is due to abusive fertilizer use. Geochemical and radiological analyses in the northern part of Tunisia and its karst shallow aquifer indicate significant contamination levels. The northern part exhibits moderate contamination, whereas the karst shallow aquifer shows higher contamination levels, particularly with elevated nitrate concentrations. In the phosphate basin, both washing phosphate and phosphogypsum reveal high levels of radioactive elements, with the latter showing especially high concentrations of radium. The shallow aquifer in this region has moderate contamination levels, while the deep geothermal aquifer also shows noticeable contamination but to a lesser degree compared to the shallow aquifer. The shallow groundwater is characterized by a higher value of radioactivity than the groundwater due to the contamination impact from the phosphate industry and the cumulative radioactivity disintegration. Finally, the nanoparticles and the electrostatic adsorption can decrease the PTEs and radionuclides from the contaminated water in the study area. Moreover, other key issues for advancing research on groundwater contamination are proposed in this study. It is time to valorize this PG and the other mines of (Fe, Pb, and Zn) in the socioeconomic sector in Tunisia and to minimize the environmental impact of the industrial sector’s extraction on groundwater and human health in the study area.
Identifying Populations at Risk for Lung Cancer Mortality from the National Health and Nutrition Examination Survey (2001–2018) Using the 2021 USPSTF Screening Guidelines
Authors: Tieu Vivian , MacDowell Samuel , Tibi Sedra , Ventayen Bradley , Agarwal Mukesh
Published: June 2024

Lung cancer (LC) is the leading cause of cancer mortality in the United States. To combat this predicament, early screening and critically assessing its risk factors remain crucial. The aim of this study was to identify the value of specific factors from the National Health and Nutrition Examination Survey (NHANES) from 2001–2018, as they relate to lung cancer mortality in the US Preventive Services Task Force (USPSTF)-eligible population. A total of 3545 adults who met USPSTF criteria were extracted from 81,595 NHANES participants. The LC Death Risk Assessment Tool was used to calculate the number of deaths per 1000 individuals. The Mann–Whitney U test and one-way ANOVA determined the statistical significance of the factors involved in LC mortality. Male sex, African and Hispanic ethnicity, lower education attainment, and secondhand exposure to cigarette smoke correlated with an increased risk of LC mortality. Additionally, the factor of emotional support from NHANES data was analyzed and did not show any benefit to reducing risk. By identifying individuals at high-risk, preventative measures can be maximized to produce the best possible outcome
Spatiotemporal Analysis of Ecological Security Based on Landscape Patterns
Authors: Zhang Huaidan , Nie Ke , Wu Xueling
Published: June 2024

With rapid urbanization, environmental problems such as soil erosion and resource shortages have emerged. Ecological environmental quality is decreasing, and ecological security issues are becoming increasingly prominent; thus, relevant research is particularly urgent. The ecological security issue is complex due to many influencing factors. The transformation of landscape type is the most important factor affecting ecological security. Therefore, there is an urgent need to optimize and screen for the indicator factors that affect ecological security, carry out a dynamic evaluation of ecological security based on landscape pattern analysis, and analyze the driving forces behind ecological security changes. Song County is located in the ecological core area of the Funiu Mountains in western Henan, with complex topography and geomorphology; large changes in landscape patterns in recent years; frequent geological disasters, which have posed a greater threat to people’s life and property safety; and significant ecological security problems. This paper takes Song County as the research area, using the decision tree model to obtain the land use classification results of four periods in Song County in 2005, 2010, 2015, and 2020 based on remote sensing images. Landscape pattern analysis is conducted from two aspects: patch level and landscape level. On this basis, ecological security evaluation indicators are constructed from three levels: pressure, state, and response, and the comprehensive index model is used to obtain the results of four ecological security evaluations. Exploratory spatial data analysis (ESDA) is used to conduct research and prediction on spatiotemporal differentiation. Finally, the spatial heterogeneity relationship between the ecological security level and its driving factors in Song County is quantitatively analyzed using a geographic detector model. The results clearly show that the overall landscape form gradually tends to develop in the direction of complex irregularity. Due to frequent geological disasters and strong human engineering activities near the core areas of the Luhun Reservoir and Yi River basin, as well as Baihejie Village in Baihe Township and Che Village in Muzhijie Township, the landscape pattern is changing considerably. The self-restoration ability of the land’s ecosystem is gradually weakening, and the degree of ecological damage is gradually accelerating. The ecological security level is unsafe, the area of unsafe security is gradually increasing, and the ecological security index (ESI) will continue to decrease in the future. To improve ecological security, we recommend paying attention to land conservation and rational utilization while pursuing economic development.
Land Cover Disaggregated Fire Occurrence and Particulate Matter2.5 Relationship in the Mekong Region: A Comprehensive Study
Authors: Adaktylou Nektaria , Stratoulias Dimitris , Borgman Julia , Cha Sangwoo , Adiningrat Devara P. , Nuthammachot Narissara
Published: June 2024

Air pollution has become an increasing concern in the Mekong region due to seasonal vegetative burning triggered by related anthropogenic activities and climate change. While the assumption of a correlation between agriculture burning and air pollution is a common postulation, little evidence exists on the association between fire incidents and air pollution concentrations. The current study explores the relationship between satellite-derived fire occurrence, land surface characteristics, and particulate matter 2.5 (PM2.5) concentrations for the five Lower Mekong countries, namely Cambodia, Laos, Myanmar, Thailand, and Vietnam, in an effort to gain new insights into fire distributions related to air quality. Publicly available daily active fire hotspots from the VIIRS satellite instrument, annual land cover products from the MODIS satellite, and mean monthly ground-level PM2.5 estimates from the V5.GL.04 database were analyzed in two relational assessments; first, the distribution of VIIRS active fire counts and fire radiative power (FRP) temporally and spatially and secondly, the correlations between the monthly VIIRS active fire counts, cumulative monthly FRP and mean monthly PM2.5 estimates per country and land cover type. The results suggest a statistically significant positive correlation between monthly fire counts, cumulative FRP, and PM2.5 estimates for each country, which differ based on land cover. The strongest correlation between monthly fire incidences and PM2.5 estimates was found in the case of Myanmar. For all countries combined, fires detected in forests displayed the highest correlation with monthly PM2.5 estimates. This study demonstrates the use of the VIIRS active fire product and provides important insights into temporal and spatial fire distributions as baseline information for fire prevention and mitigation strategies in the Mekong region.
Signaling Role of Pericytes in Vascular Health and Tissue Homeostasis
Authors: Fazio Antonietta , Neri Irene , Koufi Foteini-Dionysia , Marvi Maria Vittoria , Galvani Andrea , Evangelisti Camilla , McCubrey James A. , Cocco Lucio , Manzoli Lucia , Ratti Stefano
Published: June 2024

Pericytes are multipotent cells embedded within the vascular system, primarily surrounding capillaries and microvessels where they closely interact with endothelial cells. These cells are known for their intriguing properties due to their heterogeneity in tissue distribution, origin, and multifunctional capabilities. Specifically, pericytes are essential in regulating blood flow, promoting angiogenesis, and supporting tissue homeostasis and regeneration. These multifaceted roles draw on pericytes’ remarkable ability to respond to biochemical cues, interact with neighboring cells, and adapt to changing environmental conditions. This review aims to summarize existing knowledge on pericytes, emphasizing their versatility and involvement in vascular integrity and tissue health. In particular, a comprehensive view of the major signaling pathways, such as PDGFβ/ PDGFRβ, TGF-β, FOXO and VEGF, along with their downstream targets, which coordinate the behavior of pericytes in preserving vascular integrity and promoting tissue regeneration, will be discussed. In this light, a deeper understanding of the complex signaling networks defining the phenotype of pericytes in healthy tissues is crucial for the development of targeted therapies in vascular and degenerative diseases.
Progress in the Use of Combined Omics for Mungbean Breeding Improvement and Its Potential in Promoting Resistance against Cercospora Leaf Spot
Authors: Gudeta Temesgen Bedassa , Keneni Gemechu , Figlan Sandiswa
Published: June 2024

Cercospora leaf spot (CLS) is the most destructive fungal disease, deteriorating the production and productivity of mungbean (Vigna radiata (L.) Wilczek). Mungbean is one of the most nutritionally and environmentally important legumes, with popularity currently increasing as a ‘future smart food crop’ due to its several health benefits. In recent years, there has been considerable research progress in improving disease resistance in legumes. However, only a limited number of studies have pinpointed potential genes and candidate genes associated with resistance traits to CLS in mungbeans. Identifying the potential resistant resources through combined omics approaches is an efficient strategy to screen the best Cercospora-resistant mungbean varieties for further molecular breeding and improvement. Potential omics approaches are important tools to predict disease management strategies, alleviate chemical overuse, and mitigate problems due to malnutrition. Sustainable breeding research efforts using potential combined omics, including automated phenotyping, to promote important resistant traits associated with CLS in mungbeans are still unexplored and a key issue that needs to be addressed. Omics-technology-based research findings on resistance genes, proteins, and metabolites against CLS in mungbean are recognised in this review. Due to a limitation of research findings specifically underscoring the use of omics tools for screening resistant mungbean against CLS, best related research outcomes on other crops are included in this review.
GAS2 Upregulation Is a Targetable Vulnerability in Chronic Myeloid Leukemia
Authors: Ramirez-Guzman Lizbeth A. , Huang Wenjing , Cole John J. , Jørgensen Heather G.
Published: June 2024

Tyrosine kinase inhibitors (TKIs), such as imatinib (IM), increase the survival of chronic myeloid leukemia (CML) patients but do not eradicate the disease as leukemia stem cells (LSCs) with primitive and quiescent signatures persist after TKI monotherapy, driving disease relapse. Using single-cell publicly available transcriptomic data, we investigated potentially tractable vulnerabilities in this persistent CML LSC population. GAS2 is significantly upregulated when comparing LSCs from CML patients in remission to normal hematopoietic stem cells (HSCs). A topoisomerase IIβ inhibitor, XK469, was proposed to be repurposed as a candidate small-molecule inhibitor of GAS2, and its effect was investigated in cell line models in combination with IM in vitro. Alone, XK469 could induce cell cycle arrest/differentiation in CML cells and reduce cell viability. In combination with IM, XK469 significantly increased CML cell apoptosis and reduced CML cell clonogenic capacity. These results suggest that GAS2 is a targetable vulnerability in CML LSCs and that using XK469 in combination with TKI potentiates the sensitivity of CML cells to IM.