bluuebunny/crossref_metadata_2025_split huggingface dataset:
Live-organismal Transcriptomics
Authors: Shintaku Hirofumi , Torii Kotaro , Watanabe Keiko , Gordon Alissa , Yo Masahiro , Sakaue-Sawano Asako , Miyawaki Atsushi , Nishikawa Kaori , Takeishi Asuka 
Published: July 2024

Abstract

Recent studies employing live-cell transcriptomics have demonstrated measurement of the temporal changes in gene expression in single cells cultured in vitro. However, time-series analyses and in vivo applications remain unexplored. Here, we show that nanoelectrokinetic sampling uniquely enables live-cell and organism transcriptomics at multiple time points to uncover the individuality of dynamic gene expression in single cells and organisms. Autoregression with a live-cell transcriptome offers an inference of single-cell gene regulation networks, which provide solid mechanisms for the stochastic behaviour of individual cells. The live-organism transcriptome captured embryo-specific mRNA kinetics during the embryogenesis of the nematode Caenorhabditis elegans, identifying the core determinant of stochastic bifurcation in organismal life-or-death fates. These results highlight the power of real-time-series transcriptomics for comprehending the dynamic individuality concealed within apparently stochastic process of living things. We anticipate that our study will provide a starting point for understanding the spontaneous individualisation of living matter from single cells to organisms, contributing to the elucidation of fundamental laws in the diversification of life.
Flood Susceptibility Mapping using GIS-AHP method and morphometric analysis in the El Malabiod Watershed N.E of Algeria
Authors: Ramdani Rayene Sirine , Fehdi Chemsedinne , Gueraidia Nour El Houda , Gueraidia Saida , Ramdani rayene sirine 
Published: July 2024

Abstract

This study aims to assess flood susceptibility in the El Malabiod watershed in Algeria, using a combined approach of morphometric analysis, land use/land cover mapping, soil texture mapping, and the Analytic Hierarchy Process (AHP) method. Morphometric analysis quantified the geomorphological characteristics of the basin, such as slope, drainage density, and relief, which influence the hydrological behavior of the basin. Concurrently, land use/land cover and soil texture maps were integrated to provide a comprehensive view of surface factors affecting infiltration and runoff. The AHP method was applied to weight and combine these different criteria into a flood susceptibility map. This map identifies areas of high, moderate, and low risk, thereby facilitating flood risk planning and management. The results show a significant correlation between high susceptibility zones and historically recorded flood events, confirming the validity of the adopted methodology. This work provides a valuable tool for local decision-makers and water resource managers, assisting in the implementation of flood prevention and management measures, and optimizing land use planning in the El Malabiod basin.
Enhancing Security in Satellite-Based IoT-HPC Cloud Architectures: A Hybrid AI based Security Framework Approach
Authors: Ahmad S Z , Qamar Farhan 
Published: July 2024

Abstract

IoT device security has become a major concern as a result of the rapid expansion of the Internet of Things (IoT) and the growing adoption of cloud computing for central monitoring and management. In order to provide centrally managed services each IoT device have to connect to their respective High-Performance Computing (HPC) clouds. The ever increasing deployment of Internet of Things (IoT) devices linked to High-Performance Computing (HPC) clouds use various medium such as wired and wireless. The security challenges increases further when these devices communicate over satellite links. This Satellite-Based IoT-HPC Cloud architecture poses new security concerns which exacerbates this problem. An intrusion detection technology integrated in the central cloud is suggested as a potential remedy to monitor and detect aberrant activity within the network in order to allay these worries. However, the enormous amounts of data generated by IoT devices and their constrained computing power dose not allow to implement IDS techniques at source and renders towards typical central Intrusion Detection Systems (IDS) ineffectiveness. Moreover, to protect these systems, powerful intrusion detection techniques are required due to the inherent vulnerabilities of IoT devices and the possible hazards during data transmission .During the course of literature survey it is revealed that the research work has been done to detect few types of attacks by using the old school model of IDS. The computational expensiveness in ters of processing time is also an important parameter to be considered. This work introduces a novel Embedded Hybrid Deep Learning-based intrusion detection technique (EHID) based on embedded hybrid deep learning that is created specifically for IoT devices linked 1 to HPC clouds via satellite connectivity. Two Deep Learning (DL) algorithms are integrated in the proposed method to improve detection abilities with decent accuracy while considering the processing time and number of trainable parameters to detect 14 types of threats. It segregates amoung the normal and attack traffic. We also modify the conventional IDS approach and propose architectural change to harness the processing power of central server of cloud. This hybrid approach effectively detects threats by harnessing the computing power available at HPC cloud along with leveraging the power of AI. Additionally, the proposed system enables real-time monitoring and detection of intrusions while providing monitoring and management services through HPC using IoT-generated data. Experiments on Edge-IIoTset Cyber Security Dataset of IoT & IIoT indicate improved detection accuracy, reduced false positives, and efficient computational performance.
Self-powered sensing platform for monitoring uric acid in sweat using cobalt nanocrystal-graphene quantum dot-Ti3C2TX monolithic film electrode with excellent supercapacitor and sensing behavior
Authors: Ruiyi Li , Mengyu Wei , Xinyi Zhou , Zaijun Li , Xiaohao Liu 
Published: July 2024

Abstract

The present sensing platform cannot meet the needs of monitoring uric acid because of poor self-powered capacity, operational stability and detection sensitivity. The paper reports synthesis of cobalt nanocrystal-graphene quantum dot-Ti3C2TX monolithic film electrode (Co-GQD-Ti3C2TX) via self-assembly of Ti3C2TX nanosheets induced by protonated arginine-functionalized graphene quantum dot and subsequent reduction of cobalt (III). The resulting Co-GQD-Ti3C2TX shows good monolithic architecture, mechanical property, dispersibility and conductivity. The structure achieves excellent supercapacitor and sensing behavior. The self-charging supercapacitor produced by printing viscous Co-GQD-Ti3C2TX hydrogel on back of flexible solar cell provides high specific capacitance (296 F g-1 at 1 A g-1), high-rate capacity (153 F g-1 at 20 A g-1), capacity retention (98.1% over 10000-cycle) and energy density (29.6 Wh kg-1 at 299.9 W kg-1). The electrochemical chip produced by printing Co-GQD-Ti3C2TX hydrogel on paper exhibits sensitive electrochemical response towards uric acid. The increase of uric acid between 0.01 and 800 µM causes a linear increase in differential pulse voltammetry signal with detection limit of 0.0032 µM. The self-powered sensing platform integrating self-charging supercapacitor, electrochemical chip and micro electrochemical workstation was contentedly applied in monitoring uric acid in sweats and shows one broad application prospect in wearable electronic health monitoring device.
Parasite diversity in sea turtles of the temperate SW Atlantic: a bridge between systematics and ecology
Authors: Palumbo Ezequiel O , Álvarez Karina C , Rodriguez-Heredia Sergio , Rosenthal Alan , Vassallo Martina , Bruno Ignacio M , Loureiro Juan Pablo , Diaz Lucrecia , Faiella A , Werneck Max R , Diaz Julia I , Carman Victoria González 
Published: July 2024

Abstract

Parasite studies can provide insights into important aspects of host ecology, which can be particularly important for species of conservation concern. This research focuses on the parasite diversity of two sea turtle species —the loggerhead Caretta caretta and leatherback Dermochelys coriacea sea turtles— in the temperate Southwest Atlantic, a region and species relatively understudied. Over a 15-year period (2008–2023), 30 sea turtles were sampled from the northern coast of Argentina. Through morphological and molecular tools, we identified five parasite species (the digeneans Pyelosomum renicapite and P. longiusculus, the nematodes Kathlania leptura and Sulcascaris sulcata and the leech Ozobranchus margoi) in loggerheads; and two digeneans (P. renicapite and O. amphiorchis) in leatherbacks. All species constitute the first report of the parasite in Argentina, and O. amphiorchis represents a new host-parasite association for leatherbacks. Comparative biogeographic analysis using the Regional Management Unit framework revealed that parasites could reveal connectivity between RMUs, though there are several information gaps. Increasing parasite studies can help understand sea turtle feeding ecology, ontogenetic shift and health status, and thus enhance conservation strategies for sea turtles globally.
Depth and evenness of sequencing coverage are associated with assembly quality, genome structure, and choice of sequencing platform in archived plastid genomes
Authors: Jenke Nils , Smith Gregory M. , Gruenstaeudl Michael 
Published: July 2024

Abstract

Background: Depth and evenness of sequencing coverage are considered important indicators of assembly quality. In plastid genomics, where new data generation has outstripped the development of suitable assembly quality indicators, these coverage metrics could provide valuable insights into the quality of plastomes of different size, structure, and evolutionary origin. However, the typical variation of sequencing depth and evenness among archived plastid genomes, the differences of these metrics among individual plastome sections, and any association with methodological factors have yet to be evaluated.
Methods: This investigation aims to explore the variation of sequencing depth and sequencing evenness across publicly accessible plastid genomes as well as the potential associations that these metrics have with plastome structure, assembly quality, and methodological provenance. Specifically, we assess if sequencing evenness and reduced sequencing depth have significant correlations with, or significant differences among, individual genome sections, assembly quality indicators, the sequencing platforms employed, and the assembly software tools used. To that end, we retrieve published plastid genomes, their sequence reads, and their genome metadata from public sequence databases, measure sequencing depth and evenness across genome partitions and full-length genomes, and test several hypotheses regarding genome structure, assembly quality, and methodological provenance through non-parametric statistical tests.
Results: The results of our analyses indicate significant differences in sequencing depth across the four structural partitions as well as between the coding and non-coding sections of the plastid genomes, a significant correlation between sequencing evenness and the number of ambiguous nucleotides per genome, and significant differences in sequencing evenness across various sequencing platforms.
Conclusions: Based on these results, we conclude that sequencing depth may exhibit a variation that is associated with the quadripartite structure and the assembly quality of plastid genomes, and that sequencing evenness in plastid genomes is likely influenced by the type of sequencing platform employed.
Asprosin promotes β cell pyroptosis by METTL3-mediated m6A modification
Authors: Fu Qingsong , Hu Wenchao , Zhao Xiaoyun , Wang Rui 
Published: July 2024

Abstract

Objective
Asprosin, a recently found adipokine, contributes to β cell dysfunction. Pyroptosis is a novel programmed cell death form. N6-Methyladenosine (m6A) modification has been implicated in many pathological processes. The purpose of this research is to ascertain whether asprosin affects the pyroptosis of β cell, as well as the possible role of m6A modification in this process.
Method
Then the MIN6 cells were divided into five groups: the control, high glucose, different dose of asprosin (50nmol/L, 100nmol/L, and 150nmol/L); or divided into four groups: the control, high glucose, vehicle, and asprosin groups. Mouse Fbn1-del pCDH-GFP-Puro vector were transfected into MIN6 cells in the asprosin group. STM2457 was served as METTL3 inhibitor.
Results
The cell viability of MIN6 cells and insulin secretion were decreased after asprosin and high glucose treatment. High glucose and asprosin incubation or transfection contributed to increased expression of caspase-1 which was assessed using immunofluorescence. In addition, the expression of NLRP3, ASC, caspase-1, and GSDMD, and the concentration of IL-1β and IL-18 were significantly increased after high glucose and asprosin incubation or transfection. Asprosin transfection increased the protein expression of METTL3. Then the effects of asprosin on the cell viability, insulin secretion, the expression of caspase-1 and pyroptosis related proteins were ameliorated significantly after inhibiting METTL3 using STM2457.
Conclusion
Asprosin induces β cell pyroptosis through METTL3-mediated m6A modification.
Heat Transfer in Metallic Nanometre-Sized Gaps
Authors: Agrait Nicolas , Cuevas Juan Carlos , Vilhena Jose , López-Nebreda Rubén , Lopez Oscar Mateos , Martinez Pablo Martinez , Garcia-Esteban Juan , Ibabe Angel , Lee Eduardo 
Published: July 2024

Abstract

Heat transfer in nanoscale gaps is of key relevance for a variety of technologies. Recent experiments have reported contradictory results shedding doubts about the fundamental mechanisms for heat exchange when bodies are separated by nanometre-sized gaps. Here, we aim at resolving this controversy by measuring the thermal conductance of gold atomic-sized contacts with a custom-designed scanning tunnelling microscope that incorporates a novel thermal probe. This technique enables the measurement of the thermal and electrical conductance in different transport regimes. When the electrodes are separated by a nanometre-sized gap, we observe thermal signals whose magnitude and gap size dependence cannot be explained with standard heat transfer mechanisms. With the help of non-equilibrium molecular dynamic simulations, we elucidate that these anomalous signals are due to the thermal conduction through water menisci that form between tip and sample under customary operation conditions. Our work resolves this fundamental puzzle and suggests avenues for the investigation of heat conduction in atomic and molecular junctions.
Magnetic fields generated by directed ionic flow
Authors: Xie Ganhua , Wang Lin , Kong Xiang-Yu 
Published: July 2024

Abstract

Understanding the factors influencing the magnetic fields induced by ionic currents is essential for various applications ranging from biophysics to materials science. In this study, we systematically investigated the magnitude of the ionic-current-induced magnetic field under diverse conditions, including different current intensities, distances, coil numbers, and conduit sizes and shapes. Our experimental results reveal that the magnetic flux density is directly proportional to the current intensity and decreases with larger distances. Furthermore, it increases with the number of effective coils and decreases with larger conduit sizes, demonstrating the significant impact of conduit shape on the generated magnetic field. To complement our experimental findings, we conduct comprehensive data simulations, revealing a close agreement between simulation results and experimental data. This convergence underscores the robustness of our experimental observations and provides further insights into optimizing ionic current-induced magnetic fields. Overall, our study offers valuable insights into the design and optimization of systems utilizing ionic-current-induced magnetic fields for a wide array of applications.
Parental experiences and perceptions of using traditional medicine and biomedical services for their children’s health: A qualitative study in Indonesia
Authors: Fauk Nelsensius Klau , Seran Alfonsa Liquory , Asa Gregorius Abanit , Kustanti Christina Yeni , Arifin Hidayat , Ratu Melkianus , Ernawati  , Ward Paul Russell 
Published: July 2024

Abstract

Background: Traditional Medicine (TM) is a culturally-rooted healthcare practice, and its use, including for treating illnesses among children, has been reported in many countries. Globally, Indonesia is in the top 10 countries with the highest child mortality rates. However, TM usage for treating illnesses among children in Indonesia has received minimal academic attention.
Objective: This study aimed to understand parental beliefs, knowledge, views, and perceptions of TM and the impact on the use of TM and biomedical services in treating illnesses in children in Belu district, Indonesia.
Methods: A qualitative design using in-depth interviews was used in this study. Participants were parents with real-life experiences using TM to treat their children’s illnesses. They were recruited using the snowballing sampling technique. A thematic data analysis was performed and guided by a qualitative data analysis framework.
Results: Findings were grouped into four main themes: (i) parental beliefs, knowledge, views, and perceptions of TM, (ii) the influence of these factors on parental use of TM and biomedical services for treating children’s illnesses, (iii) social and cultural influences on the use of TM and biomedical services among their children, and (iv) the impact of the sole use of TM on children.
Conclusion: The findings show that the use of TM is a common practice in Belu, however, evidence suggests that child mortality remains high in the setting. Thus, there is a need for the development of collaborative models of healthcare programs and service delivery fostering mutual respect and understanding between traditional healers and healthcare professionals.
Strogonoff de frango enriquecido com biomassa de banana verde
Authors: Almeida Jhenyfer Caroliny de , Moreno Lucca Gherardi , Gherardi Sandra Regina Marcolino 
Published: July 2024

A biomassa de banana verde é um ingrediente funcional e que pode ser aplicado em uma grande variedade de alimentos por não afetar o sabor. Assim, o objetivo deste trabalho foi avaliar a aceitabilidade de strogonoff elaborado com biomassa de banana verde. O estudo foi conduzido com 50 provadores, sendo empregados os testes de intenção de aceitação com escala hedônica de 9 pontos para os atributos aparência, aroma, sabor, textura e impressão global, além do teste de intenção de compra com escala de 5 pontos. Os resultados do teste de aceitação indicaram elevada aceitabilidade, com escores entre 7,82 e 8,5, sendo o atributo sabor o mais apreciado. Quanto à intenção de compra, também foi obtido bons escores, de 4,14, correspondente à “provavelmente compraria”. Assim, neste estudo constatou-se que a biomassa de banana verde na elaboração de strogonoff de frango é viável.
Investigation of the impact of surface roughness on the flow characteristics of a broad-crested weir
Authors: Idrees Anees Kadhum , Jahad Udai A. , Al-Ameri Riyadh 
Published: July 2024

ABSTRACT

Weirs are a common hydraulic structure. The broad-crested weir's effectiveness depends on its height and surface roughness. The present study investigates the coefficient of discharge (Cd) for various broad-crested weirs in a laboratory flume. Two types of weir geometry were used and outfitted with three types of surface roughness (cement, boulders, and gravel) and the coefficient of discharge. The outcomes showed that the coefficient of discharge reduces as the surface roughness of the broad-crested weir increases for a given (H/H + P). The average value of the discharge coefficient for Group 1 (models 1, 2, and 3) was 0.66, 0.65, and 0.64, respectively. For comparison between models 1 and 2 and between models 1 and 3, the decrease in the coefficient of discharge was approximately 2 and 3.5%, respectively. Group 2 (models 4, 5, and 6) had an average value of the discharge coefficient of 0.63, 0.62, and 0.61, respectively. The decrease in the coefficient of discharge for comparison between models 4 and 5 and between models 4 and 6 was around 1.75 and 3%, respectively. Empirical equations were obtained to accurately fit the data. This study can inform the design of weirs, allowing for improved control and flow regulation in hydraulic systems.
Application of the multi-wavelength UV-LED/chlorine process to improve reverse osmosis membrane performance for reused water treatment in the steel industry
Authors: Liu Z. , Xu M. Y. , Yin H. , Xie C. W. , Liu Q. , Liu H. T. , Liang S. Y. , Li J. K. , Zhang T. Y. , Li T. , Hu H. Y. , Xu B. 
Published: July 2024

ABSTRACT
Membrane fouling is a prominent issue that affects the stable and efficient operation of reverse osmosis (RO) in reused water treatment. In this study, a zero-discharge RO system was adopted to treat the ultrafiltration permeate from a steel plant with the combined multi-wavelength UV-LED/chlorine process, focusing on organic structure modification and membrane fouling control. The results showed that the UV-LED/chlorine process could not only efficiently remove the dissolved organic carbon and the total nitrogen of the RO influent but also alter the organic substances from large molecules to small ones. In addition, the longer wavelength of a 295 nm UV-LED/chlorine process exhibited a greater RO permeate flux of 158 LMH, as compared to the shorter wavelength of 255 nm with the flux of 152 LMH. Moreover, compared to the single-wavelength, the dual-wavelength UV-LED/chlorine process played a more significant role in RO filtration performance, which induced a looser and thinner foulant structure, resulting in an 8% larger permeate flux and recovery at 275 + 295 nm than at 295 nm. This study demonstrated that the combined UV-LED/chlorine process could effectively alleviate RO membrane fouling. Our findings can provide theoretical and technical support for the sustainable development of membrane-based reused water treatment in the steel industry.
Evasion of the Immune System by Glioblastoma Multiforme: An Obstacle to Achieving Effective Therapies
Authors: Kawengian Kevin Johanes , Wanandi Septelia Inawati 
Published: July 2024

Glioblastoma multiforme (GBM), a highly aggressive and malignant form of brain cancer, continues to pose a significant challenge in the field of oncology. Despite ongoing advancements in treatment strategies, the prognosis for GBM patients remains grim, with a 5-year survival rate hovering around 5%. The management of GBM involves multiple therapeutic approaches, including immunotherapy, but optimal treatment outcomes in terms of overcoming tumor recurrence and resistance have not been achieved. A key factor contributing to therapy resistance and the progression of GBM is the tumor's ability to evade the immune system, referred to as immune escape from cancer. This phenomenon reflects the tumor cells' efforts to adapt and survive the body's immune response. The release and expression of molecules like TGF-ß, IL-10, PD-L1, and NKG2DL by GBM cells impact the activation, recognition, and elimination of tumor cells by the immune system. Additionally, the involvement of cells such as MDSCs, Tregs, and TAMs plays a role in inhibiting the immune system's function, thereby promoting the development of GBM cells. A better comprehension of GBM's immune escape, supported by technological advances, will significantly aid in the future management of GBM patients' treatment.Keywords: glioblastoma multiforme, GBM, cancer immunity, immune evasion, immune escape, immunotherapy