bluuebunny/crossref_metadata_2025 huggingface dataset:
Associations of SEMA7A, SEMA4D, ADAMTS10, and ADAM8 with KRAS, NRAS, BRAF, PIK3CA, and AKT Gene Mutations, Microsatellite Instability Status, and Cytokine Expression in Colorectal Cancer Tissue
Authors: Ochman Błażej , Limanówka Piotr , Mielcarska Sylwia , Kula Agnieszka , Dawidowicz Miriam , Wagner Wiktor , Hudy Dorota , Szrot Monika , Piecuch Jerzy Zbigniew , Piecuch Jerzy , Czuba Zenon , Świętochowska Elżbieta
Published: September 2024

Semaphorins (SEMAs), ADAM, and ADAMTS family members are implicated in various cancer progression events within the tumor microenvironment across different cancers. In this study, we aimed to evaluate the expression of SEMA7A, SEMA4D, ADAM8, and ADAMTS10 in colorectal cancer (CRC) in relation to the mutational landscape of KRAS, NRAS, BRAF, PIK3CA, and AKT genes, microsatellite instability (MSI) status, and clinicopathological features. We also examined the associations between the expression of these proteins and selected cytokines, chemokines, and growth factors, assessed using a multiplex assay. Protein concentrations were quantified using ELISA in CRC tumors and tumor-free surgical margin tissue homogenates. Gene mutations were evaluated via RT-PCR, and MSI status was determined using immunohistochemistry (IHC). GSEA and statistical analyses were performed using R Studio. We observed a significantly elevated expression of SEMA7A in BRAF-mutant CRC tumors and an overexpression of ADAM8 in KRAS 12/13-mutant tumors. The expression of ADAMTS10 was decreased in PIK3CA-mutant CRC tumors. No significant differences in the expression of the examined proteins were observed based on MSI status. The SEMA7A and SEMA4D expressions were correlated with the expression of numerous cytokines associated with various immune processes. The potential immunomodulatory functions of these molecules and their suitability as therapeutic targets require further investigation.
Transcriptomic and Metabolic Analysis Reveals Genes and Pathways Associated with Flesh Pigmentation in Potato (Solanum tuberosum) Tubers
Authors: Li Man , Xiong Yuting , Yang Xueying , Gao Yuliang , Li Kuihua
Published: September 2024

Anthocyanins, flavonoid pigments, are responsible for the purple and red hues in potato tubers. This study analyzed tubers from four potato cultivars—red RR, purple HJG, yellow QS9, and white JZS8—to elucidate the genetic mechanisms underlying tuber pigmentation. Our transcriptomic analysis identified over 2400 differentially expressed genes between these varieties. Notably, genes within the flavonoid biosynthesis pathway were enriched in HJG and RR compared to the non-pigmented JZS8, correlating with their higher levels of anthocyanin precursors and related substances. Hierarchical clustering revealed inverse expression patterns for the key genes involved in anthocyanin metabolism between pigmented and non-pigmented varieties. Among these, several MYB transcription factors displayed strong co-expression with anthocyanin biosynthetic genes, suggesting a regulatory role. Specifically, the expression of 16 MYB genes was validated using qRT-PCR to be markedly higher in pigmented HJG and RR versus JZS8, suggesting that these MYB genes might be involved in tuber pigmentation. This study comprehensively analyzed the transcriptome of diverse potato cultivars, highlighting specific genes and metabolic pathways involved in tuber pigmentation. These findings provide potential molecular targets for breeding programs focused on enhancing tuber color.
Integrative Analyses of Mitophagy-Related Genes and Mechanisms Associated with Type 2 Diabetes in Muscle Tissue
Authors: Mao Wangjia , Zong Guannan , Gao Yuan , Qu Shen , Cheng Xiaoyun
Published: September 2024

Type 2 diabetes (T2D) represents the most prevalent metabolic condition that is primarily distinguished by a range of metabolic imbalances, including hyperglycemia, hyperlipidemia, and insulin resistance (IR). Currently, mitophagy has become increasingly recognized as an important process involved in the pathogenesis and progression of T2D. Therefore, it is very important to explore the role of mitochondrial damage and autophagy-related genes in T2D. This study investigated the role of mitophagy in the development of T2D, and 12 MRHGs associated with T2D were identified using bioinformatic analysis and machine learning methods. Our findings provide the first insight into mitophagy-related genes and their mechanisms in T2D. This study aimed to investigate possible molecular targets for therapy and the underlying mechanisms involved in T2D. This information might be useful to further elucidate the pathogenesis of T2D-related diseases and identify more optimal therapeutic approaches.
Hydrogen Production, Transporting and Storage Processes—A Brief Review
Authors: Pereira José , Souza Reinaldo , Oliveira Jeferson , Moita Ana
Published: September 2024

This review aims to enhance the understanding of the fundamentals, applications, and future directions in hydrogen production techniques. It highlights that the hydrogen economy depends on abundant non-dispatchable renewable energy from wind and solar to produce green hydrogen using excess electricity. The approach is not limited solely to existing methodologies but also explores the latest innovations in this dynamic field. It explores parameters that influence hydrogen production, highlighting the importance of adequately controlling the temperature and concentration of the electrolytic medium to optimize the chemical reactions involved and ensure more efficient production. Additionally, a synthesis of the means of transport and materials used for the efficient storage of hydrogen is conducted. These factors are essential for the practical feasibility and successful deployment of technologies utilizing this energy resource. Finally, the technological innovations that are shaping the future of sustainable use of this energy resource are emphasized, presenting a more efficient alternative compared to the fossil fuels currently used by society. In this context, concrete examples that illustrate the application of hydrogen in emerging technologies are highlighted, encompassing sectors such as transportation and the harnessing of renewable energy for green hydrogen production.
Assessing the Effects of Citizen Climate Literacy and Attitudes on Their ‘Greening’ Behaviour in a Climate Change Hotspot Region of the Eastern Mediterranean
Authors: Papagiannaki Katerina , Kotroni Vassiliki , Lagouvardos Konstantinos
Published: September 2024

Climate change presents an urgent global challenge, manifesting in rising temperatures and extreme weather events with severe societal impacts. The Eastern Mediterranean, warming faster than the global average, faces immediate repercussions. Climate literacy emerges as pivotal, empowering individuals to comprehend climate science and act accordingly. This study delves into climate literacy, attitudes, and ‘greening’ behaviours in the Eastern Mediterranean hotspot of Greece, based on a survey of 1962 citizens. Findings indicate high climate literacy but lower adoption of ‘greening’ behaviours, especially those involving financial costs. Regression analyses highlight the significant role of climate literacy, concerns about personal impacts, coping appraisal, and trust in institutions in promoting ‘greening’ behaviours. This study underscores the need for multifaceted strategies emphasising financial motivation, trust-building, and societal norm shifts. Socio-demographic disparities, including gender and occupation, highlight areas for targeted interventions. The emphasis on the mental health impacts of climate-related events underscores the need for comprehensive disaster management that addresses not only physical damage but also psychological and social dimensions. Policy implications are discussed, highlighting the potential of expanded climate literacy to catalyse collective action toward sustainability.
Development of a Reliable Accelerated Corrosion Test for Painted Aluminum Alloys Used in the Aerospace Industry
Authors: Peltier Fabienne , Thierry Dominique
Published: September 2024

New environmental regulations have led to major changes in aluminum corrosion protection by prohibiting, for example, Cr(VI). Thus, the assessment of the corrosion behavior of Cr-free systems under atmospheric conditions is a major topic of interest for the aerospace industry. One major difficulty in this task is the lack of robust and reliable accelerated corrosion test(s) in this field. The aim of the present study is to compare the results of various accelerated corrosion standards (ASTM B117, ISO 4623-2, VCS 1027,149) to results obtained after 5 years of exposure at a marine atmospheric site in Brest, France. Additional accelerated corrosion tests were designed by varying several parameters in the VCS 1027, 149, such as the salt concentration, the time of wetness, and the relative humidity. The different modes of failure obtained in accelerated corrosion tests on the painted samples were then compared to field exposures in a marine atmospheric site. The first results obtained showed that the developed tests are more representative of service conditions than standard tests.
Improved-Performance Amorphous Ga2O3 Photodetectors Fabricated by Capacitive Coupled Plasma-Assistant Magnetron Sputtering
Authors: Liu Yiming , Peng Chong , Liu Chang , Yu Cong , Guo Jiarui , Chang Yiyang , Zhao Yi
Published: September 2024

Ga2O3 has received increasing interest for its potential in various applications relating to solar-blind photodetectors. However, attaining a balanced performance with Ga2O3-based photodetectors presents a challenge due to the intrinsic conductive mechanism of Ga2O3 films. In this work, we fabricated amorphous Ga2O3 (a-Ga2O3) metal–semiconductor–metal photodetectors through capacitive coupled plasma assisted magnetron sputtering at room temperature. Substantial enhancement in the responsivity is attained by regulating the capacitance-coupled plasma power during the deposition of a-Ga2O3. The proposed plasma energy generated by capacitive coupled plasma (CCP) effectively improved the disorder of amorphous Ga2O3 films. The results of X-ray photoelectron spectroscopy (XPS) and current-voltage tests demonstrate that the additional plasma introduced during the sputtering effectively adjust the concentration of oxygen vacancy effectively, exhibiting a trade-off effect on the performance of a-Ga2O3 photodetectors. The best overall performance of a-Ga2O3 photodetectors exhibits a high responsivity of 30.59 A/W, a low dark current of 4.18 × 10−11, and a decay time of 0.12 s. Our results demonstrate that the introduction of capacitive coupled plasma during deposition could be a potential approach for modifying the performance of photodetectors.
Aluminum Foil Surface Etching and Anodization Processes for Polymer 3D-Printing Applications
Authors: Jung Yunki , Kim Han Su , Jeon Young-Pyo , Hong Jin-Yong , Lee Jea Uk
Published: September 2024

Extrusion-based polymer three-dimensional (3D) printing, specifically fused deposition modeling (FDM), has been garnering increasing interest from industry, as well as from the research and academic communities, due to its low cost, high speed, and process simplicity. However, bed adhesion failure remains an obstacle to diversifying the materials and expanding the industrial applications of the FDM 3D-printing process. Therefore, this study focused on an investigation of the surface treatment methods for aluminum (Al) foil and their applications to 3D printer beds to enhance the bed adhesion of a 3D-printed polymer filament. Two methods of etching with sodium hydroxide and anodization with phosphoric acid were individually used for the surface treatment of the Al foil beds and then compared with an untreated foil. The etching process removed the oxide layer from the Al foil and increased its surface roughness, while the anodizing process enhanced the amount of hydroxide functional groups and contributed to the formation of nano-holes. As a result, the surface-anodized aluminum foil exhibited a higher affinity and bonding strength with the 3D-printed polymers compared with the etched and pristine foils. Through the increase in the success rate in 3D printing with various polymers, it became evident that utilizing surface-treated Al foil as a 3D printer bed presents an economical solution to addressing bed adhesion failure.
Impact of Hydrodynamic Cavitation Pretreatment on Sodium Oleate Adsorption onto Diaspore and Kaolinite Surfaces
Authors: Zhou Weiguang , Wei Haobin , Zhu Yangge , Long Yufeng , Chen Yanfei , Gao Yuesheng
Published: September 2024

To investigate how hydrodynamic cavitation (HC) affects the adsorption of sodium oleate (NaOl) on diaspore and kaolinite surfaces, a comparative study on NaOl adsorption was conducted under different conditions. The flotation and separation of the minerals were also examined with and without HC pretreatment of NaOl. The results show that short-term HC pretreatment of NaOl solutions did not induce a measurable change in the chemical structure of NaOl, but produced micro-nanobubbles (MNBs) and resulted in decreases in the surface tension and viscosity of liquids. When MNBs interacted with minerals, their anchor on solids could affect the contact angles, zeta potentials, and surface NaOl adsorption toward minerals. At low NaOl concentrations, the presence of MNBs reduced the NaOl adsorption capacity and particles’ zeta potential while increasing the minerals’ contact angle. At higher NaOl concentrations, the presence of MNBs promoted NaOl adsorption, further increased the minerals’ contact angle, and further decreases the particles’ zeta potential. Additionally, the flotation and separation of minerals can be enhanced at low NaOl concentrations, largely due to the enhanced bubble mineralization through the selective surface-anchoring of MNBs on diaspore. However, the separation efficiency might deteriorate at high NaOl concentrations, though the presence of MNBs amplified the divergences in minerals’ surface wettability and zeta potentials.
Recent Advances in Ammonia Synthesis Modeling and Experiments on Metal Nitrides and Other Catalytic Surfaces
Authors: Elahi Numair , Zeinalipour-Yazdi Constantinos D.
Published: September 2024

In this review, we explore the recent progress in catalytic materials for the ammonia syntheses that are based on metal nitrides and other catalytic surfaces. It comprises a detailed overlook of the various techniques used in ammonia synthesis research and the state-of-the-art modeling techniques employed to investigate new reaction mechanisms and more efficient processes for sustainable ammonia synthesis production. The review is discussed in the context of the reaction mechanisms developed and the recent progress that has been made with respect to thermal, electrochemical, and photocatalytic ammonia synthesis.
A Randomized Crossover Study Comparing the Effects of Diabetes-Specific Formula with Common Asian Breakfasts on Glycemic Control and Satiety in Adults with Type 2 Diabetes Mellitus
Authors: Kong Sing Teang , Huynh Dieu Thi Thu , Srivanichakorn Weerachai , Khovidhunkit Weerapan , Washirasaksiri Chaiwat , Sitasuwan Tullaya , Huang Chengrong , Paunikar Swapnil , Yalawar Menaka , Tey Siew Ling
Published: September 2024

Postprandial hyperglycemia was shown to be an independent risk factor for microvascular and macrovascular complications in type 2 diabetes mellitus (T2D). We aimed to investigate the glucose, insulin, and subjective appetite at 0, 15, 30, 45, 60, 90, 120, 150, and 180 min of three treatments: diabetes-specific formula (DSF), noodle soup, and glutinous rice. This was a randomized, crossover study with a one-week interval between treatments. Sixty-four T2D adults with oral glucose-lowering medication and HbA1c between 7% and <10% were randomized. The glucose positive area under the curve from 0 to 180 min (pAUC) was significantly lower with DSF than with glutinous rice (LSM ± SE: DSF 354 ± 32 vs. glutinous rice 451 ± 32 mmol.min/L, p = 0.033). The insulin pAUC was significantly lower with DSF (median [IQR]: 2733 [1542, 4204]) compared to glutinous rice (3359 [2193, 4744] µIU.min/mL), p = 0.042). The insulinogenic index at 30 min was significantly higher in DSF (median [IQR], 8.1 [4.2, 19.7]) compared to glutinous rice (5.4 [2.7, 11.7], p < 0.001). No significant differences were found in subjective appetite between the three treatments (all, p ≥ 0.827). There were also no significant differences in hunger, fullness, desire to eat, and prospective consumption ratings between DSF and the other two breakfasts (all p ≥ 0.181). Noodle soup led to the shortest time for hunger to return to baseline (165 min), 21 min earlier than DSF (186 min) and 32 min earlier than glutinous rice (197 min). DSF significantly reduced postprandial glucose and insulin responses compared with glutinous rice and had a higher satiating value than noodle soup in T2D adults. Replacing common Asian breakfasts with DSF may improve glycemia and hunger control.
Oral Food Challenge in Children with Tree Nut and Peanut Allergy: The Predictive Value of Diagnostic Tests
Authors: Cela Ludovica , Gravina Alessandro , Semeraro Antonio , Pastore Francesca , Morelli Rebecca , Marchetti Lavinia , Brindisi Giulia , Olivero Francesca , Piccioni Maria Grazia , Zicari Anna Maria , Anania Caterina
Published: September 2024

Food allergy (FA) affects approximately 6–8% of young children, with a peak prevalence at approximately one year of age. Tree nut and peanut allergies are among the main causes of anaphylaxis in the world. The gold standard for the diagnosis of FAs is the oral food challenge (OFC). Other diagnostic tests used in the clinical practice are skin prick tests (SPTs) and laboratory tests to measure out the presence of serum specific IgE (sIgE). In this narrative review, we collect the current evidence of the predictive value (PV) of SPTs and sIgE for the outcome of the OFCs. In literature, data are conflicting as to whether increasing sIgE concentration and wheal size in SPTs correlate with OFC outcomes. Most studies included in our review have shown that in vivo and in vitro tests may predict OFC outcomes with variable PV, but data are not conclusive; therefore, the OFC currently remains the gold standard for FA diagnosis.
The Use of Artificial Intelligence in Predicting Chemotherapy-Induced Toxicities in Metastatic Colorectal Cancer: A Data-Driven Approach for Personalized Oncology
Authors: Froicu Eliza-Maria , Oniciuc Oriana-Maria , Afrăsânie Vlad-Adrian , Marinca Mihai-Vasile , Riondino Silvia , Dumitrescu Elena Adriana , Alexa-Stratulat Teodora , Radu Iulian , Miron Lucian , Bacoanu Gema , Poroch Vladimir , Gafton Bogdan
Published: September 2024

Background: Machine learning models learn about general behavior from data by finding the relationships between features. Our purpose was to develop a predictive model to identify and predict which subset of colorectal cancer patients are more likely to experience chemotherapy-induced toxicity and to determine the specific attributes that influence the presence of treatment-related side effects. Methods: The predictor was general toxicity, and for the construction of our data training, we selected 95 characteristics that represent the health state of 74 patients prior to their first round of chemotherapy. After the data were processed, Random Forest models were trained to offer an optimal balance between accuracy and interpretability. Results: We constructed a machine learning predictor with an emphasis on assessing the importance of numerical and categorical variables in relation to toxicity. Conclusions: The incorporation of artificial intelligence in personalizing colorectal cancer management by anticipating and overseeing toxicities more effectively illustrates a pivotal shift towards more personalized and precise medical care.
Risk Assessment and Motion Planning for MAVs in Dynamic Uncertain Environments
Authors: Xia Xingyu , Zhu Hai , Zhu Xiaozhou , Yao Wen
Published: September 2024

Risk assessment to quantify the danger associated with a planned trajectory is critical for micro aerial vehicles (MAVs) navigating in dynamic uncertain environments. Existing works usually perform risk assessment by reasoning the occupancy status of the MAV’s surrounding space which only incorporates the position information of the MAV and the obstacles in the environment. In this paper, we further consider the MAV’s motion direction in risk assessment to reflect the fact that the obstacles in front of the MAV pose a higher risk while those behind pose a lower risk. In particular, we rely on a particle-based dynamic map which consists of a large number of particles to represent the local environment. The risk is defined to evaluate the safety level of a subspace in the map during some time interval and assessed by reasoning the occurrence of particles in the subspace. Those particles around the MAV are assigned different weights taking into account their relative positions to the MAV and its motion direction. We then incorporate the proposed risk assessment method into MAV motion planning by minimizing both the path length and the associated risk to achieve safer navigation. We compared our method with several state-of-the-art approaches in PX4+Gazebo simulations and real-world experiments. The results show that our method can achieve a 15% higher collision avoidance rate and a 20% lower flight risk in various environments with static and dynamic obstacles.
A Pseudo-Exponential-Based Artificial Potential Field Method for UAV Cluster Control under Static and Dynamical Obstacles
Authors: Zhang Jie , Li Fengyun , Li Jiacheng , Chen Qian , Sheng Hanlin
Published: September 2024

This study presents a novel obstacle evasion method for unmanned aerial vehicle (UAV) clusters in the presence of static and dynamic obstacles. First, a discrete three-dimensional model of the UAV is provided. Second, the proposed improved artificial potential field (APF) is illustrated. In designing the improved scheme, a pseudo-exponential function is fused into the potential field, thus avoiding local extreme points. Frictional resistance is introduced to optimize vibration and maintain stability after reaching the desired endpoints. Meanwhile, the relevant parameters are optimized, and appropriate state limits are defined, thus enhancing the control stability. Third, Lyapunov stability analysis proves that all signals in the closed-loop cluster system are ultimately bounded. Finally, the simulation results demonstrate that the UAV cluster can efficiently reconstruct, form, and maintain formations while avoiding static and dynamical obstacles along with maintaining a safe distance, solving the problem of the local extreme of traditional artificial potential field methods. The proposed scheme is also tested under large-scale multi-UAV scenarios. In conclusion, this study provides valuable insights for engineers working with UAV clusters navigating through formations.
Oil Distribution around Ball–Raceway Local Contact Region in Under-Race Lubrication of Ball Bearing
Authors: Yu Qingcheng , Gao Wenjun , Gong Ping , Li Yuanhao , Li Can
Published: September 2024

The distribution of oil and gas phases around ball–raceway local regions is an important basis and foundation for determining whether a bearing is sufficiently lubricated. To obtain the oil phase distribution law in the inner raceway–ball contact local region (IBCR) and outer raceway–ball contact local region (OBCR) of the ball bearing with under-race lubrication, the numerical simulation method is used. The effects of bearing rotation speed, oil flow rate, oil viscosity, and oil density on these two regions are studied. The results indicate that the oil phase exhibited significant periodic changes in both time and space. Compared with that in the IBCR, the oil phase distribution in the OBCR is more uniform. Increasing the bearing rotation speed and reducing the oil flow rate made the IBCR and OBCR more uniform. Changing the oil viscosity only alters the distribution pattern of the OBCR. The oil density may not affect the fluid flow state or the oil phase distribution in the bearing.
Predictors of Deep Learning and Competence Development in Children Aged 5–7 Using Augmented Reality Technology
Authors: Kelpsiene Monika , Monkeviciene Ona
Published: September 2024

While a number of studies have shown the potential and benefits of augmented reality (AR) technology for preschool education, less attention has been paid to the problem of children’s deep learning and development of the competencies applying AR and to the pedagogy of AR. The aim of the study presented in this paper is to uncover the educational predictors of deep learning and competence development of 5–7-year-old children using AR technology. The research adopted a quantitative research approach and a survey design. The participants were 319 preschool teachers using AR technology for children’s education. The study revealed that a statistically significant predictor of promoting deep learning in preschool children is teachers’ roles, based on a constructivist and socio-cultural approach, when using AR. The research highlights the roles of the teacher as a creator of learning contexts and situations that engage children; the teacher as a proactive facilitator of children’s learning; and the teacher as an educator who acts, thinks and reflects with children, among others. Statistically significant educational predictors of children’s competence development were found to be: teachers’ perceptions of AR technology, the roles assumed by teachers, and the areas of children’s education in which AR technology is used.
Enhancing Earth and Environmental Science Undergraduate Students’ Perception of Geographic Information Systems through Short Clips
Authors: DeFelipe Irene , Jerez-Longres Paula Sofía , Pérez-Cáceres Irene , Valenzuela Pablo , Galve Jorge Pedro , Rodríguez-Ruano Sonia , Ortega Zaida , Adrados Luna , Bernabé José Manuel , Crespo José , Montes Romina Marisel , Pereira Lola , Ballesteros Daniel
Published: September 2024

Geographic Information Systems (GISs) cover a wide range of Earth and environmental science disciplines that have become essential for spatial data management, easing the digital transformation needs of our society. Despite the usefulness of GISs, they remain underutilised in academia, and many students do not understand the possibilities that these tools offer. To familiarise university students with the potential of GISs, we designed 11 short clips (less than 5 min long) recorded by Earth scientists with diverse backgrounds who shared their work experience with GISs to solve real-world problems. Through these short clips, we emphasised not only the multidisciplinary uses of GISs but also provided professional references for undergraduate students, including societal aspects such as gender equality, national and international mobility, private-to-public-sector transitioning, and different family circumstances. As a result, the students expressed their interest in the applications of GISs, many of which were completely new to them, highlighting the potential of GISs in terms of entrepreneurship and their usefulness in mitigating global change. Thus, we were able to transfer knowledge from research to university education and foster spatial data management skills in Earth science.
Rotating Droplet Hydrodynamic Electrochemistry for Water Toxicity Bioassay Based on Electron-Transfer Mediator
Authors: Sazawa Kazuto , Shanjana Yeasna , Sugawara Kazuharu , Kuramitz Hideki
Published: September 2024

An electrochemical bioassay based on rotating droplet electrochemistry by using an electron-transfer mediator was developed for the evaluation of a wide variety of pollutants such as antibiotics, heavy metals, and pesticides in the water environment. Ferricyanide was used as an electron-transfer mediator for obtaining the catalytic response of Escherichia coli. The electrochemical response of E. coli was measured via hydrodynamic chronoamperometry in a microdroplet on a screen-printed carbon electrode (SPCE). The constructed electrode system successfully evaluates the catalytic response of E. coli solution in the presence of ferricyanide. An assay for antibiotic toxicity on E. coli was carried out. The EC50 for ampicillin, sulfamonomethoxine, chlorotetracycline, tetracycline, and oxytetracycline evaluated by the pre-incubation method were 0.26, 0.77, 5.25, 18.5, and 19.0 µM, respectively. The toxicity order was ampicillin > sulfamonomethoxine > chlorotetracycline > tetracycline > oxytetracycline. The proposed method can be used to evaluate the antibiotic toxicities in different real samples, such as pond water, powder, and raw milk. Recoveries were found in the range of 90 and 99%. The developed methods do not require additional incubation time to evaluate toxicity.
Low-Light Image Enhancement via Dual Information-Based Networks
Authors: Liu Manlu , Li Xiangsheng , Fang Yi
Published: September 2024

Recently, deep-learning-based low-light image enhancement (LLIE) methods have made great progress. Benefiting from elaborately designed model architectures, these methods enjoy considerable performance gains. However, the generalizability of these methods may be weak, and they may suffer from the overfitting risk in the case of insufficient data as a result. At the same time, their complex model design brings serious computational burdens. To further improve performance, we exploit dual information, including spatial and channel (contextual) information, in the high-dimensional feature space. Specifically, we introduce customized spatial and channel blocks according to the feature difference of different layers. In shallow layers, the feature resolution is close to that of the original input image, and the spatial information is well preserved. Therefore, the spatial restoration block is designed for leveraging such precise spatial information to achieve better spatial restoration, e.g., revealing the textures and suppressing the noise in the dark. In deep layers, the features contain abundant contextual information, which is distributed in various channels. Hence, the channel interaction block is incorporated for better feature interaction, resulting in stronger model representation capability. Combining the U-Net-like model with the customized spatial and channel blocks makes up our method, which effectively utilizes dual information for image enhancement. Through extensive experiments, we demonstrate that our method, despite its simplicity of design, can provide advanced or competitive performance compared to some state-of-the-art deep learning- based methods.
Advancing Quantum Temperature Sensors for Ultra-Precise Measurements (UPMs): A Comparative Study
Authors: Oukaira Aziz , Ettahri Ouafaa , Lakhssassi Ahmed
Published: September 2024

In this study, we compared the performance of quantum temperature sensors (QTSs) with conventional sensors (CSs), highlighting differences in measurement accuracy and stability. Quantum sensors (QSs), known for their ability to provide ultra-precise measurements (UPMs), were tested across a temperature range of −10 to 40 °C. The results indicate that QSs offer superior accuracy, with a lower average error and a smaller standard deviation compared to CSs, indicating better measurement stability. For this comparison, we utilized Python scripts to conduct simulations and statistical analyses, leading to precise and reproducible results. The sensor performance was simulated in a controlled environment, and the obtained data were compared with experimental results. This comparison reveals that QSs are more reliable for applications requiring high precision, such as those in the Internet of Things (IoT) domain. These findings underscore the potential advantage of QSs in critical systems where measurement accuracy is paramount.
MPSD: A Robust Defense Mechanism against Malicious PowerShell Scripts in Windows Systems
Authors: Wu Min-Hao , Hsu Fu-Hau , Hunag Jian-Hong , Wang Keyuan , Liu Yen-Yu , Chen Jian-Xin , Wang Hao-Jyun , Yang Hao-Tsung
Published: September 2024

This manuscript introduces MPSD (Malicious PowerShell Script Detector), an advanced tool to protect Windows systems from malicious PowerShell commands and scripts commonly used in fileless malware attacks. These scripts are often hidden in Office document macros or downloaded remotely via PowerShell, posing significant threats to corporate networks. A 2018 report revealed that 77% of successful cyberattacks involved fileless malware, with PowerShell being the primary attack method, as highlighted in Red Canary’s 2022 report. To counter these threats, MPSD leverages the Antimalware Scan Interface (AMSI) to intercept and analyze real-time PowerShell scripts, preventing their execution. It further utilizes VirusTotal to filter out malicious scripts. Unlike traditional methods that rely on direct access to scripts, MPSD detects them before execution, addressing the challenge of hidden or obfuscated scripts. Experimental results show that MPSD outperforms well-known antivirus engines, with a low false-negative rate of 1.83%. MPSD is highly effective against evasion techniques like concatenation, encoding, and reordering, making it a robust tool in the cybersecurity landscape.
The Ultimate Fate of Reactive Dyes Absorbed onto Polymer Beads: Feasibility and Optimization of Sorbent Bio-Regeneration under Alternated Anaerobic–Aerobic Phases
Authors: Mosca Angelucci Domenica , Stazi Valentina , Tomei Maria Concetta
Published: September 2024

Dyes employed in many production cycles are characterized by high toxicity and persistence in the environment, and conventional wastewater treatments often fail to reach high removal efficiencies. Consequently, there is an increasing research demand aimed at the development of more efficient and sustainable technologies. A two-step strategy consisting of dye sorption followed by sorbent bio-regeneration is proposed here, with a special focus on the regeneration step. The objective of this study was to establish the best operating conditions to achieve regeneration of dye-loaded polymers and concurrently the ultimate removal of the dyes. To this aim, the bio-regeneration of the Hytrel 8206 polymer, used as a sorbent material to remove Remazol Red dye from textile wastewater, was investigated in a two-phase partitioning bioreactor (TPPB) under alternated anaerobic–aerobic conditions. Comprehensive analysis of operational parameters, including sorbent load and initial contamination levels, was conducted to optimize bio-regeneration efficiency. Experimental data demonstrated high regeneration efficiencies (91–98%) with biodegradation efficiencies up to 89%. This study also examines the biodegradation process to investigate the fate of biodegradation intermediates; results confirmed the successful degradation of the dye without significant by-product accumulation. This research underscores the potential of TPPB-based bio-regeneration of polymeric sorbent material for sustainable wastewater treatment, offering a promising solution to the global challenge of dye pollution in water resources.
Coulomb Driven Electro-Convection within Two Stacked Layers of Miscible Dielectric Liquids
Authors: Traore Philippe , Pérez Alberto T. , Mondal Subhadeep , Bhattacharya Anandaroop , Vázquez Pedro A. , Yan Zelu
Published: September 2024

This article investigates the behavior of two parallel layers of different miscible dielectric liquids enclosed and sandwiched between two electrodes. By applying an electric potential to one electrode while grounding the other, electro-convection occurs when the electric Rayleigh number exceeds a critical value, setting the fluid into motion and resulting in rapid mixing between the two liquids. A numerical model is developed to account for the varying ionic mobility and permittivity of the two liquids, considering their evolution based on the relative concentration field. The simulations confirm that electro-convection significantly enhances the mixing between the two liquids, as expected. Additionally, intriguing ripples are observed near the initial interface during the early stages of electro-convection instability growth. To explain and describe the flow dynamics in terms of stability analysis, a semi-analytical model is presented. This study provides insights into the mixing behavior and flow dynamics of miscible dielectric liquids under the influence of electro-convection. The findings contribute to a better understanding of the underlying mechanisms and can be valuable for applications such as microfluidics, energy conversion, and mixing processes. Further research is encouraged to explore additional parameters and optimize the control of electro-convection for practical applications.
Graphene-Based Virus Enrichment Protocol Increases the Detection Sensitivity of Human Norovirus in Strawberry and Oyster Samples
Authors: Zhou Shuqing , Jin Min , Yin Jing , Shi Danyang , Li Haibei , Gao Zhixian , Chen Zhengshan , Yang Zhongwei , Chen Tianjiao , Wang Huaran , Li Junwen , Yang Dong
Published: September 2024

Human noroviruses (HuNoVs), the most prevalent viral contaminant in food, account for a substantial proportion of nonbacterial gastroenteritis cases. Extensive work has been focused on the diagnosis of HuNoVs in clinical samples, whereas the availability of sensitive detection methods for their detection in food is lacking. Here, we developed a virus enrichment approach utilizing graphene-based nanocomposites (CTAB-rGO-Fe3O4) that does not rely on large instruments and is suitable for on-site food pretreatment. The recovery efficiency of the developed virus enrichment procedure for serially diluted GII.4 norovirus ranged from 10.06 to 72.67% in strawberries and from 2.66 to 79.65% in oysters. Furthermore, we developed a real-time recombinase polymerase amplification (real-time RPA) assay, which can detect as low as 1.22 genome copies µL−1 of recombinant plasmid standard and has no cross-reactivity with genomes of astrovirus, rotavirus, adenovirus, and MS2 bacteriophage. Notably, the combined virus enrichment and real-time RPA detection assay enhanced the detection limits to 2.84 and 37.5 genome copies g−1 in strawberries and oysters, respectively, compared to those of qPCR. Our strategy, the graphene-based virus enrichment method combined with real-time RPA, presents a promising tool for sensitively detecting HuNoVs in food samples.
How Do Socio-Demographic Factors, Health Status, and Knowledge Influence the Acceptability of Probiotics Products in Hong Kong?
Authors: Xu Zilin , Wu Nan , Chan Shun Wan
Published: September 2024

In recent years, due to growing interest in gut health, the potential benefits of probiotics on the gut have received much attention. Probiotics, now readily available in both dietary supplements and a variety of foods, have become a focal point of consumer health choices. This study aims to explore the impact of consumer-related factors, including socio-demographic profiles, health status, and probiotics knowledge, on the acceptance of probiotics products in Hong Kong. A total of 385 participants engaged in a survey, providing data for an in-depth analysis of how these factors influence attitudes toward probiotics. Findings revealed a general confidence in the safety of probiotics products among respondents; however, there was a noticeable gap in probiotics understanding. The study highlighted a correlation between probiotics knowledge and specific socio-demographic attributes, with higher educational attainment positively linked to greater probiotics awareness. Furthermore, the research indicated that women exhibit higher health consciousness and a greater propensity for probiotics consumption compared to men. Consequently, promoting enhanced probiotics education and fostering increased health awareness are crucial steps to prevent the misuse of probiotics and optimize health outcomes.
Modeling Behavior of Salmonella spp. and Listeria monocytogenes in Raw and Processed Vegetables
Authors: Son Su Bin , Lee Ha Kyoung , Kim So Jeong , Yoon Ki Sun
Published: September 2024

Given the persistent occurrence of foodborne illnesses linked to both raw and processed vegetables, understanding microbial behavior in these foods under distribution conditions is crucial. This study aimed to develop predictive growth models for Salmonella spp. and Listeria monocytogenes in raw (mung bean sprouts, onion, and cabbage) and processed vegetables (shredded cabbage salad, cabbage and onion juices) at various temperatures, ranging from 4 to 36 °C. Growth models were constructed and validated using isolated strains of Salmonella spp. (S. Bareilly, S. Enteritidis, S. Typhimurium) and L. monocytogenes (serotypes 1/2a and 1/2b) from diverse food sources. The minimum growth temperatures for Salmonella varied among different vegetable matrices: 8 °C for mung bean sprouts, 9 °C for both onion and cabbage, and 10 °C for ready-to-eat (RTE) shredded cabbage salad. Both pathogens grew in cabbage juice at temperatures above 17 °C, while neither demonstrated growth in onion juice, even at 36 °C. Notably, Salmonella spp. exhibited faster growth than L. monocytogenes in all tested samples. At 8 °C, the lag time (LT) and specific growth rate (SGR) for Salmonella spp. in mung bean sprouts were approximately tenfold longer and threefold slower, respectively, compared to those at 10 °C. A decrease in refrigerator storage temperature by 1 or 2 degrees significantly prevented the growth of Salmonella in raw vegetables. These findings offer valuable insights into assessing the risk of foodborne illness associated with the consumption of raw and processed vegetables and inform management strategies in mitigating these risks.
Modelling Yeast Prion Dynamics: A Fractional Order Approach with Predictor–Corrector Algorithm
Authors: Archana Daasara Keshavamurthy , Prakasha Doddabhadrappla Gowda , Bin Turki Nasser
Published: September 2024

This work aims to comprehend the dynamics of neurodegenerative disease using a mathematical model of fractional-order yeast prions. In the context of the Caputo fractional derivative, we here study and examine the solution of this model using the Predictor–Corrector approach. An analysis has been conducted on the existence and uniqueness of the selected model. Also, we examined the model’s stability and the existence of equilibrium points. With the purpose of analyzing the dynamics of the Sup35 monomer and Sup35 prion population, we displayed the graphs to show the obtained solutions over time. Graphical simulations show that the behaviour of the populations can change based on fractional orders and threshold parameter values. This work may present a good example of how biological theories and data can be better understood via mathematical modelling.
Positive Solutions to a System of Coupled Hadamard Fractional Boundary Value Problems
Authors: Tudorache Alexandru , Luca Rodica
Published: September 2024

We explore the existence, uniqueness, and multiplicity of positive solutions to a system of Hadamard fractional differential equations that contain fractional integral terms. Defined on a finite interval, this system is subject to general coupled nonlocal boundary conditions encompassing Riemann–Stieltjes integrals and Hadamard fractional derivatives. To establish the main results, we employ several fixed-point theorems, namely the Banach contraction mapping principle, the Schauder fixed-point theorem, the Leggett–Williams fixed-point theorem, and the Guo–Krasnosel’skii fixed-point theorem.
A Novel Fractal Model for Contact Resistance Based on Axisymmetric Sinusoidal Asperity
Authors: Liu Yue , Yang Shihao , Wang Weikun , Wang Shuai , An Qi , Huang Min , Suo Shuangfu
Published: September 2024

In this paper, a novel fractal model for the contact resistance based on axisymmetric sinusoidal asperity is proposed, which focuses on the resistance characteristics of the rough interface at a microscopic scale. By introducing the unique geometric shape of axisymmetric sinusoidal asperity, and combining it with a three-dimensional fractal theory, the micro-morphology characteristics of the rough interface can be characterized more precisely. Subsequently, by conducting a theoretical analysis and numerically solving the deformation mechanisms of asperities on the rough interface, a refined model for contact resistance is constructed. This research comprehensively employs theoretical analysis, numerical simulation, and experimental testing methods to deeply explore the current transmission mechanisms during the contact process of the rough interface. The findings suggest that the proposed model is capable of precisely capturing the intricate interplay of various factors, including contact area, contact load, and material properties, with the contact resistance. Compared to the existing models, the presented model demonstrates significant advantages in terms of prediction accuracy and practicality. This research provides an important theoretical basis and design guidance for optimizing the electrical performance of the rough interface, which has great significance for engineering applications.
Monitoring the Net Primary Productivity of Togo’s Ecosystems in Relation to Changes in Precipitation and Temperature
Authors: Bilouktime Badjaré , Fousséni Folega , Maza-esso Bawa Demirel , Weiguo Liu , Hua Guo Huang , Kpérkouma Wala , Komlan Batawila
Published: September 2024

Climate variability significantly impacts plant growth, making it crucial to monitor ecosystem performance for optimal carbon sequestration, especially in the context of rising atmospheric CO2 levels. Net Primary Productivity (NPP), which measures the net carbon flux between the atmosphere and plants, serves as a key indicator. This study uses the CASA (Carnegie–Ames–Stanford Approach) model, a radiation use efficiency method, to assess the spatio-temporal dynamics of NPP in Togo from 1987 to 2022 and its climatic drivers. The average annual NPP over 36 years is 4565.31 Kg C ha−1, with notable extremes in 2017 (6312.26 Kg C ha−1) and 1996 (3394.29 Kg C ha−1). Productivity in natural formations increased between 2000 and 2022. While climate change and land use negatively affect Total Production (PT) from 2000 to 2022, they individually enhance NPP variation (58.28% and 188.63%, respectively). NPP shows a strong positive correlation with light use efficiency (r2 = 0.75) and a moderate one with actual evapotranspiration (r2 = 0.43). Precipitation and potential evapotranspiration have weaker correlations (r2 = 0.20; 0.10), and temperature shows almost none (r2 = 0.05). These findings contribute to understanding ecosystem performance, supporting Togo’s climate commitments.