bluuebunny/crossref_metadata_2025 huggingface dataset:
Early pregnancy hyperglycaemia among pregnant women with risk factors for gestational diabetes increases the risk of pregnancy complications
Authors: Cheung Ka Wang , Au Tiffany Sin-Tung , Chan Tat On , So Po Lam , Wong Felix Chi-Kin , Seto Mimi Tin Yan
Published: October 2024

The current diagnostic criteria for gestational diabetes (GDM) were based on data from women after 24 weeks of gestation, but this may not be equally applicable for earlier gestation. There is insufficient data regarding early pregnancy glycaemia and the associated complications. We retrospectively reviewed 39,483 deliveries and 12,918 with risk factors for GDM underwent oral glucose tolerance test (OGTT) before 24 weeks of gestation. A strong and progressively positive association was observed with any pregnancy complications in both fasting glucose (FG) and 2 h glucose (2hG). The increased risk of developing any pregnancy complications started from FG 4.5–4.7 mmol/L and 2hG of 6.2–6.9mmol/L. Every increase by 1 mmol/L in FG or 2 hG levels increased the risk of developing any complications (aOR 1.614 for FG and 1.131 for 2hG), pre-eclampsia (aOR 1.472 for FG and 1.143 for 2hG), maternal insulin use (aOR 12.821 for FG and 2.366 for 2hG), primary Caesarean section(aOR 1.274 for FG and 1.099 for 2hG), shoulder dystocia (aOR 1.941 for FG and 1.282 for 2hG), macrosomia(aOR 2.203 for FG and 1.072 for 2hG), and large for gestation age(aOR 2.157 for FG and 1.074 for 2hG). Therefore, glycaemic levels in early pregnancy among high-risk women positively associated with pregnancy complications, even at levels below the current recommended diagnostic criteria for GDM.
Behavioral and emotional co-modulation during dog–owner interaction measured by heart rate variability and activity
Authors: Koskela Aija , Törnqvist Heini , Somppi Sanni , Tiira Katriina , Kykyri Virpi-Liisa , Hänninen Laura , Kujala Jan , Nagasawa Miho , Kikusui Takefumi , Kujala Miiamaaria V.
Published: October 2024

Behavioral and physiological synchrony facilitate emotional closeness in attachment relationships. The aim of this pseudorandomized cross-over study was to investigate the emotional and physiological link, designated as co-modulation, between dogs and their owners. We measured the heart rate variability (HRV) and physical activity of dogs belonging to co-operative breeds (n = 29) and their owners during resting baselines and positive interaction tasks (Stroking, Training, Sniffing, Playing) and collected survey data on owner temperament and dog–owner relationship. Although overall HRV and activity correlated between dogs and their owners across tasks, task-specific analyses showed that HRV of dogs and owners correlated during free behaving (Pre- and Post-Baseline), whereas the activity of dogs and owners correlated during predefined interaction tasks (Stroking and Playing). Dog overall HRV was the only predictive factor for owner overall HRV, while dog height, ownership duration, owner negative affectivity, and dog–owner interaction scale predicted dog overall HRV. Thus, the characteristics of dog, owner, and the relationship modified the HRV responses in dog–owner dyads. The physiology and behavior of dogs belonging to co-operative breeds and their owners were therefore co-modulated, demonstrating physiological and emotional connection comparable to those found in attachment relationships between humans.
Listening effort in children and adults in classroom noise
Authors: Seitz Julia , Loh Karin , Fels Janina
Published: October 2024

It is well known that hearing in noisy situations is more challenging than in quiet environments. This holds true for adults and especially for children. This study employed a child-appropriate dual-task paradigm to investigate listening effort in children aged six to ten years and young adults. The primary task involved word recognition, while the secondary task evaluated digit recall. Additionally, subjective perception of listening effort was assessed using a child-appropriate questionnaire. This study incorporated plausible sound reproduction and examined classroom scenarios including multi-talker babble noise with two signal-to-noise ratios (0 dB and −3 dB) in an anechoic and an acoustically simulated classroom environment. Forty-four primary school children aged six to ten (17 first- to second-graders and 18 third- to fourth-graders) and 25 young adults participated in this study. The results revealed differences in listening effort between the noise conditions in third- to fourth-graders and supported using the dual-task paradigm for that age group. For all three age groups, a greater subjective perception of listening effort in noise was found. Furthermore, a correlation between the subjective perception of listening effort and behavioural listening effort based on the experimental results was found for third- to fourth-graders and adults.
Development and validation of diffusive gradients in thin-films for in situ monitoring of ionic liquids in waters
Authors: Liu Si-si , Chen Shi-bao , Yue Yu-bo , Li Xiao-hao , Zhang Chi , Ying Guang-Guo , Chen Chang-Er
Published: October 2024

The “PFAS-like” ionic liquids (ILs) represent a new challenge for the environmental monitoring community, the DGT technique can provide a robust solution.
Sustainable and durable color cosmetics: riboflavin phosphate-mediated photo-crosslinked casein films with tannic acid
Authors: Hong Min Ji , Lee Yerin , Kyung Su Jin , Choi Joonho , Lee Hyun Jong
Published: October 2024

Riboflavin phosphate-mediated photo-crosslinking of casein creates biopolymer films that enhance the durability of water-soluble dyes in color cosmetics, combining sustainability with improved performance.
Nonstoichiometry as a hidden aspect of TbAl3(BO3)4 optical properties
Authors: Kuznetsov A. B. , Jamous A. Y. , Rakhmanova M. I. , Simonova E. A. , Svetlichnyi V. A. , Kokh A. E. , Yudin V. N. , Solodovnikov S. F. , Shevchenko V. S. , Kokh K. A.
Published: October 2024

TbAl3(BO3)4 was found to exist in a range of solid solutions. Its stoichiometric composition shows the best optical properties.
Optimizing the composition of LaF3:Yb,Tm upconverting nanoparticles synthesised by the co-precipitation method to improve the emission intensity
Authors: Tegze Borbála , Tolnai Gyula , Albert Emőke , Hessz Dóra , Kubinyi Miklós , Madarász János , May Zoltán , Olasz Dániel , Sáfrán György , Hórvölgyi Zoltán
Published: October 2024

LaF3:Yb,Tm upconverting nanoparticles with overall dopant concentrations below 7 mol% were prepared by a low-cost, aqueous phase co-precipitation method having reasonably high emission intensity, aiming at e.g. anti-counterfeiting applications.
Fabrication of monodisperse micron-sized and aldehyde-functionalized microspheres coating with covalent organic framework for efficient and rapid removal of copper ions from wastewater
Authors: Wang Xiaoqiong , Bai Qingyan , Yan Mingjia , Zhao Yashuai , Ma Shujuan , Bo Chunmiao , Ou Junjie
Published: October 2024

Covalent organic frameworks (COFs) possess an excellent ability for absorbing heavy metals, but their uneven particle size, difficult separation, and poor dispersion limit their wide application in the treatment of heavy metal pollution.
Increasing electron density through an n-type semiconductor to accelerate hot electrons from plasmonic Au nanospheres for artificial photosynthesis and cross-coupling reactions
Authors: Kumar Dinesh , Jaswal Richa , Shrestha Devendra , Kumar Suresh , Park Chan Hee , Kim Cheol Sang
Published: October 2024

Herein, an n-type wide band gap semiconductor (SnO2) and gold nanosphere (GNSs)-based core-satellite heterostructures (GNSs@SnO2) were prepared, and utilized for artificial photosynthesis and the Suzuki–Miyaura coupling reaction.
Boosting the ORR activity in PEM fuel cells: tailored electron-withdrawing properties of Fe-based catalysts via optimizing fluorine doping
Authors: Xue Nan , Yin Jian , Xue Xueyan , Zhu Hui , Yin Jiao
Published: October 2024

Fluorine, especially CF2, drives electron transfer from Fe to nearby N atoms, which weakens the adsorption strength of Fe on OH* and enhances the ORR activity of the catalyst in acidic media.
Development and application of Few-shot learning methods in materials science under data scarcity
Authors: Chen Yongxing , Long Peng , Liu Bin , Wang Yi , Wang Junlong , Ma Tian , Wei Huilin , Kang Yue , Ji Haining
Published: October 2024

Machine learning, as a significant branch of artificial intelligence, shortens the cycle of material discovery and synthesis by exploring the characteristics of data.
MAE‐SigNet: An effective network for automatic modulation recognition
Authors: Zhang Shilong , Song Yu , Wang Shubin
Published: October 2024

The rapid development of the Internet of Things has exacerbated issues such as spectrum resource scarcity, poor communication quality, and high communication energy consumption. Automatic modulation recognition (AMR), a key technology in cognitive radio, has emerged as a crucial solution to these challenges. Deep neural networks have been recently applied in AMR tasks and have achieved remarkable success. However, existing deep learning‐based AMR methods often need to consider the sensitivity of models to noise fully. This study proposes a masked autoencoder multi‐scale attention feature fusion model (MAE‐SigNet). This model integrates a MAE, multi‐scale feature extraction module, bidirectional long short‐term memory module, and MAM to accomplish the AMR task under low signal‐to‐noise ratio. Additionally, we optimize the cross‐entropy loss of the MAE‐SigNet model by introducing MAE decoder reconstruction error, which enhances the model's sensitivity to noise while achieving more accurate feature representation. Experimental results demonstrate that the MAE‐SigNet model achieves average recognition rates of 63.77%, 65.28%, and 75.26% on the RML2016.10a, RML2016.10b, and RML2016.04c datasets. Mainly, MAE‐SigNet exhibits outstanding performance at various levels of low signal‐to‐noise ratios from −6 to 4 dB.
SVIT‐SSR: A sEMG‐based vision transformer approach for silent speech recognition
Authors: Li Zhao , Ma Bin , Mao Weifan , Zhang Jianxing , Yu Zhuting , Lu Yizhou
Published: October 2024

Silent speech recognition (SSR) based on surface electromyography (sEMG) is a voice interaction technology proposed for scenarios requiring silent operations. This article abstracts the SSR task based on sEMG into a short‐term image sequence classification task. Time‐frequency domain feature extraction and data reconstruction on the muscle activity segment data is performed. Additionally, the temporal and spatial dimensions to capture the intrinsic correlation representation of muscle activity is analysed. The SVIT‐SSR model is proposed based on the vision transformer (VIT) framework. Finally, experiments to identify 33 types of typical silent speech commands in the SSR dataset are designed. The results demonstrate that the proposed model achieves an accuracy of 96.67 ± 1.15%, outperforming similar algorithms.
Safeguarding IoT networks against DDoS attacks using deep learning based zero trust network access
Authors: Khan Murad
Published: October 2024

Here, a deep learning‐based zero trust network access (DL‐ZTNA) system to enhance the security of the Message Queuing Telemetry Transport (MQTT) protocol within Internet of Things (IoT) applications was proposed. Combining multi‐head convolutional neural networks and attention‐based bi‐directional long short‐term memory networks with ZTNA provides real‐time security analysis of device behaviour. This behaviour‐based approach ensures that only authorized devices can access network resources and continuously monitors for potential threats like distributed denial of service (DDoS) attacks. The proposed DL‐ZTNA system revokes device access when a threat is detected and prevents further malicious activities. Evaluation in a testbed environment showed improvements in CPU usage efficiency, throughput, and attack detection probability compared to traditional methods. This highlights the system's effectiveness in securing MQTT‐based IoT networks against DDoS attacks while maintaining high performance, showcasing the potential of integrating deep learning techniques into ZTNA system for addressing security challenges in IoT environments.
A deep fusion‐based vision transformer for breast cancer classification
Authors: Fiaz Ahsan , Raza Basit , Faheem Muhammad , Raza Aadil
Published: October 2024

Breast cancer is one of the most common causes of death in women in the modern world. Cancerous tissue detection in histopathological images relies on complex features related to tissue structure and staining properties. Convolutional neural network (CNN) models like ResNet50, Inception‐V1, and VGG‐16, while useful in many applications, cannot capture the patterns of cell layers and staining properties. Most previous approaches, such as stain normalization and instance‐based vision transformers, either miss important features or do not process the whole image effectively. Therefore, a deep fusion‐based vision Transformer model (DFViT) that combines CNNs and transformers for better feature extraction is proposed. DFViT captures local and global patterns more effectively by fusing RGB and stain‐normalized images. Trained and tested on several datasets, such as BreakHis, breast cancer histology (BACH), and UCSC cancer genomics (UC), the results demonstrate outstanding accuracy, F1 score, precision, and recall, setting a new milestone in histopathological image analysis for diagnosing breast cancer.
Optimized Design Solutions for Battery and Frame Performance and Safety in New Energy Vehicles
Authors: Song Ziang
Published: October 2024

With the rapid development of the economy and society, and the increasing challenges related to energy and the environment, new energy vehicles have emerged as a crucial trend. Their advancement is essential for promoting renewable energy applications and the development of electrified transportation technology, ensuring energy security, mitigating shortages, and enhancing environmental quality. This paper investigates the current state of batteries and frames in new energy vehicles, summarizing and analyzing optimized design solutions that affect their performance and safety. In battery optimization, the focus is on enhancing the battery thermal management system and structure through advanced cooling techniques, material innovations, and structural modifications. Key studies demonstrate the effectiveness of direct-cooled BTMS and optimized liquid-cooled plates in maintaining optimal battery temperatures and safety. Additionally, structural enhancements in battery packs and protective measures significantly improve battery performance and durability. In frame optimization, innovations in frame structure and materials, including the integration of high-strength steel and aluminum foam, have led to improved load-bearing capacity, durability, and lightweight. Multi-dimensional optimization approaches, such as finite element analysis and topology optimization, provide comprehensive solutions for reducing stress concentrations and enhancing structural integrity. The insights gained from this research highlight the need for continued innovation in battery and frame design to achieve greater performance, safety, and sustainability in new energy vehicles, contributing to their widespread adoption and evolution.
Research progress and future prospects of electrode materials for supercapacitors
Authors: Xi Kaijia
Published: October 2024

Supercapacitors are a highly promising energy storage solution, characterized by high charge and discharge rates, high energy density, and high power density. It stores energy through a variety of storage mechanisms. As the properties of the electrode materials are one of the pivotal factors affecting the performance of supercapacitors, a significant portion of current research is focused on developing novel and advanced electrode materials capable of augmenting overall functionality. To optimise the performance of electrode materials, synthesis of materials into nanostructures is an effective approach. Simultaneously, a combination of multiple materials is employed to further augment the electrochemical performance of the material. This paper reviews recent advances in various electrode materials, focusing on carbon materials, metal compounds and conductive polymers, as well as related nanocomposites. Furthermore, this paper emphasises the pivotal role and ongoing research developments of nanoscale composites in supercapacitors and looks forward to the future development of supercapacitor electrodes for efficient energy storage.
Grid-Connected PV System Harmonic Analysis
Authors: Zhao Keyu
Published: October 2024

The inverter’s output impedance can be adjusted to reduce harmonic interference on the grid. Advanced current control strategies like PI and quasi-PR control enable precise control of the inverter’s output current, further reducing harmonics. PI control compensates for error signals to eliminate steady-state errors but has limited ability to suppress harmonics in high-frequency ranges. Quasi-PR control combines proportional, integral, and resonance control to suppress specific frequency harmonics. Establishing a grid-connected photovoltaic inverter and harmonic source model is crucial for grid harmonics management. This model provides insights into harmonic generation by inverters, enabling targeted mitigation measures. It can also assess the impact of control strategies on harmonic suppression, providing a theoretical basis for optimization. Optimizing grid inverter control strategies is critical for maintaining grid stability and enhancing power quality. Thorough research on grid-connected photovoltaic inverter harmonics and effective control strategies contribute to renewable energy development and green, low-carbon energy systems.
Stability of LCL grid-connected inverter under weak current network
Authors: Liu Yuhan , Zou Haowen
Published: October 2024

With the development of energy generation technology, In today’s weak grid environment, the research on the stability of gridconnected inverters is becoming more and more important, whose main task is to improve grid-connected current. The paper concludes the widely-used control strategy of LCL grid-connected inverter, including adjusting inverter parameters, introducing a filter, voltage source admittance control strategy, and passive/active damping method. This paper compares the different effects of upgrading strategies of LCL inverters and recognizes their advantages and limits. For example, the passive/active damping method not only can effectively suppress resonance peak, but can also preserve amplitude-frequency characteristics of low and high-frequency bands. However, the gain in low frequency or the harmonic in high frequency may be reduced. Then, the paper discusses future development trends and technical challenges faced by LCL grid-connected inverters. In principle, effective suppression of high-frequency resonance is the key to improving system stability. From the perspective of control strategy, improving system stability is as important as adopting advanced algorithms. Finally, the paper raises practical advice about increasing Inverter efficiency.
Latest progress in Van der Waals ferroelectrics
Authors: Li Zhengze
Published: October 2024

2D ferroelectrics are regarded as promising materials across diversified aspects such as field-effect transistors (FETs), sensors, and more due to their properties of spontaneous polarization and large, tuneable bandgap. This study presents the latest insights on three representative 2D ferroelectrics: CIPS, SnTe (MX), and h-BN. CIPS exhibits a critical temperature around 315 K, with its spontaneous polarization direction perpendicular to the material sheets. Moreover, the critical thickness of CIPS has been measured at 4nm. SnTe, on the other hand, showcases a critical temperature below room temperature, with a minimum dimension of 5x5 unit cells and polarization oriented along the [110]HJ direction. The ferroelectric behavior of h-BN is attributed to layer sliding, a phenomenon that has garnered significant attention in current research. One notable limitation of 2D ferroelectrics is the presence of critical size or thickness requirements. Additionally, factors like high production costs and poor surface conditions have hindered the practical implementation of these materials in electronic components. Future studies are anticipated to address these challenges and pave the way for the broader utilization of 2D ferroelectrics in various technological applications.
Research progress on magnetic nanosorbent materials for industrial wastewater treatment
Authors: Li Wulin
Published: October 2024

In today’s increasingly serious environmental problems, water treatment technology has become a worldwide research hot spot. At present, as the harmful components of polluted water are becoming more and more complex, the requirements for treatment process are getting higher and higher, so it is difficult for a single technology to purify sewage completely. In this context, interdisciplinary multi-technology has become the development trend in water treatment, and magnetic nanomaterials have the advantages of high efficiency and rapidity compared with the traditional technology, so they have a greater potential for development. This paper will be divided into the research background, the main types of industrial wastewater, the current classification of magnetic nanomaterials, the surface functionalization of composite magnetic nanomaterials, including inorganic materials composite and organic materials composite two kinds of composite materials, the material desorption and recovery, as well as the direction of the future development and some challenges to be faced to introduce the magnetic nanoscale adsorbent materials in wastewater treatment of the current research in several aspects.
Nanomaterials for environmental governance and their sustainability
Authors: Li Yanan
Published: October 2024

Because of the unique photocatalytic ability of nanomaterials, extremely large surface area and excellent adsorption capacity, nanomaterials have shown good development prospects in the broad field of environmental governance. In this paper, the specific methods used by nanomaterials in water treatment, soil treatment and air treatment are described in detail. In particular, the treatment of pollution caused by heavy metals, oil and microorganisms caused by nanomaterials in water was discussed. As far as water treatment is concerned, nanomembranes prepared by electrospinning with ceramic metal oxides and mixed matrix materials have gradually evolved into the core means to deal with heavy metal pollution. In the process of petroleum treatment, the corresponding treatment is mainly carried out by means of a series of physical methods such as adsorbents, and in the process of microbial treatment, it is mainly achieved by relying on the active movement between ions. Finally, the paper also summarizes the possible impact of nanomaterials on the human body, which fully and effectively demonstrates the sustainability of nanomaterials in the practical application of environmental governance.
Carbon Quantum Dots and Drug Analysis: Structure, Properties, Preparation and Applications
Authors: Wang Zibing
Published: October 2024

Carbon quantum dots (CQDs) are promising nanomaterials for drug analysis because of their versatile applications. This work examines the synthesis, properties, and biomedical applications of CQDs, with a focus on their role in drug analysis. CQDs are quasi-spherical nanoparticles (<10 nm) with a carbon core and various surface functional groups. They exhibit strong, tunable photoluminescence, high photostability, and good biocompatibility. Synthesis methods discussed in this work include electrochemical exfoliation, hydrothermal/solvothermal synthesis, and microwave-assisted synthesis. The distinct advantages and limitations of these methods are also outlined. CQDs demonstrate significant potential in various aspects of drug analysis. They could be functionalized as targeted drug carriers and gene delivery, while their optical properties enable tracking of drug distribution and development of fluorescent biosensors. CQDs also show promise as photosensitizers in photodynamic therapy for cancer treatment. In analytical techniques, CQDs are utilized in chromatography, fluorescence-based methods, and solid-phase extraction for drug analysis and separation. The advantages of CQDs include high photostability, low toxicity, and easy to be functionalized. However, challenges such as scalability, precise functionalization, and regulatory compliance need to be addressed. Future research directions of this area involve developing enhanced drug delivery systems, integrating CQDs with advanced imaging modalities, and creating portable diagnostic devices. Interdisciplinary collaboration will be crucial in advancing CQD applications in drug analysis and overcoming current challenges.
Metal nanomaterials undergo changes in mechanical properties due to variations in grain size
Authors: Wu Linze
Published: October 2024

With the rapid development of nanotechnology, an increasing number of metal nanomaterials are being applied in modern society. This paper primarily investigates the Hall-Petch relationship in metal crystals, which is a physical law describing the correlation between grain size and yield strength in metal nanomaterials. According to this relationship, the grain size influences the yield strength of the materials. At the nanoscale, this relationship may alter, exhibiting the inverse Hall-Petch effect, where further reducing the grain size paradoxically decreases the material’s yield strength. This paper also explores various mechanical properties of metal nanomaterials, including deformation and fracture mechanisms, and discusses their yield strength, plastic deformation, and fatigue performance. Additionally, the article analyses various strengthening mechanisms in metal nanocrystals, combining them with the Hall-Petch relationship to deepen the understanding of the impacts brought by changes in grain size. This provides new insights for optimizing material preparation techniques and improving mechanical properties through the control of microstructures.
Effects of differences of PC1 and PC2 enzymes on related disease
Authors: Ran Taoyuan
Published: October 2024

This research will analyse the different roles and interrelationships of PC1 and PC2 enzymes in obesity and diabetes. There are significant differences in substrate specificity and function of the two enzymes during metabolism. PC1 is mainly involved in the negative feedback regulation of insulin signals, while PC2 can play a key role in adipocyte differentiation and energy metabolism. Based on this, the regulation of PC1 and PC2 enzymes will provide an effective scheme for the regulation of related metabolic diseases. In addition, this research will explain how dopamine and hormones secreted by the pituitary gland act on the mRNA expression of PC1 and PC2 enzymes, thereby affecting insulin secretion. Inhibition of PC1 activity can improve insulin resistance, thereby alleviating the symptoms of type 2 diabetes. Conversely, enhancing PC2 activity may help reduce body fat accumulation and combat obesity. Understanding the differences between these two enzymes is important for developing new therapeutic strategies.
Toxic mechanism and detection methods of tetrodotoxin
Authors: Xu Yunzhe
Published: October 2024

Tetrodotoxin (TTX) was first isolated in the early 20th century and has significant public health implications, especially in areas where puffer fish are consumed, such as Japan. Research on TTX spans multiple disciplines, including toxicology, pharmacology, marine biology, and neurology, and efforts are underway to understand its mechanism of action, ecological roles, and biosynthesis. TTX exerts its toxic effects through selective blockade of voltage-gated sodium channels (VGSCs), leading to paralysis and potentially fatal respiratory failure. This research will discuss the toxic mechanism of TTX and analyze the existing detection methods for TTX. Despite advances in detection and diagnostic methods, there is currently no antidote for TTX poisoning and treatment remains adjunctive, and this has also become a development direction for future research. Understanding the ecological significance and potential therapeutic use of TTX is essential to reduce risk and harness its benefits. Continued research is aimed at developing effective treatments and preventive measures against TTX toxicity.
The effectiveness of oximes against organophosphate poisoning
Authors: Liu Qiming
Published: October 2024

Organophosphate compounds (OPs) have been used by human in many ways over years. However, the misuse of organophosphate has been very common because their notorious toxicity. For example, there has a lot of case that people and children handling OPs improperly resulting in casualty and suffering. The main purpose of this research is to understand the basic of treatment of oxime drugs against organophosphate poisoning based on the clinical data and raise awareness of OPs poisoning. It mainly consists of 3 parts about oxime treatment. The first part is introduction of mechanism of oxime treatment. It talks about the mechanism and the studies of effectiveness of oxime against OPs. Then the most concerning problem, aging, is discussed based on the studies of the behavior of OPs inhibited enzymes, which sometimes oxime is incapable to treat during the second part. Last part mainly talked about the solution that scientists have discovered during research that help oxime treatment to be more effective to deal with the problem.
Sexualbezogene Online-Fortbildung für Fachkräfte: Livestreaming mit Twitch,
OnlyFans und anderen Social-Media-Plattformen
Authors: Döring Nicola
Published: October 2024

Der vorliegende Praxisbeitrag befasst sich mit Live-Video-Übertragungen im Internet, dem sogenannten
Livestreaming. Eine Livestreaming-Funktion wird inzwischen auf allen großen Social-Media-Plattformen
geboten (z. B. Facebook Live, YouTube Live, Instagram Live, TikTok Live), zudem existieren dezidierte
Streaming-Plattformen (z. B. Twitch, Periscope, YouNow) und nicht zuletzt spielt das Livestreaming auf
Erotik-Plattformen eine wichtige Rolle (z. B. OnlyFans). Der vorliegende Beitrag beschreibt die
Besonderheiten des Livestreamings mit Twitch und anderen Social-Media-Plattformen und geht auf den
bisherigen Stand der Forschung ein. Im Fokus stehen dann sexualbezogene Einsatzweisen des
Livestreamings.
Novel Use of Obsidio Conformable Embolic in Thoracic Duct Embolization
Authors: Labiste Chase , Pierre Kevin , McCurry Andrew , Amador Isabella , McCann George , Kent Thomas , Geller Brian , Davis Hugh
Published: October 2024

Chylothorax is a potentially serious condition resulting from thoracic duct injury. When chyle output remains high despite medical management, invasive interventions such as surgical ligation or percutaneous thoracic duct embolization (TDE) may be necessary. Obsidio is a novel conformable embolic agent that shares properties of both coil and liquid embolic agents. A 37-year-old man presented with left-sided chylothorax, refractory to medical management, following a high-speed motorcycle collision. The thoracic duct was successfully embolized using Obsidio placed between coil packs with fibered coils. This case report demonstrates the first successful use of Obsidio for TDE in a patient with traumatic chylothorax.
Primary Intraoral Granulocytic Sarcoma: A Case Report and Review of Literature
Authors: Parveen Lamia , Bagchi Sudeshna , Chatterjee Rudra Prasad , Mahmud Abdul , Sinha Sangeeta
Published: October 2024

Granulocytic sarcoma (GS) is a rare extramedullary malignant tumor composed of immature granulocytes, including myeloblasts, promyelocytes, and myelocytes. In most cases, these are associated with persisting blood dyscrasias such as acute myeloid leukemia and chronic myeloid leukemia. To date, 32 cases of GS involving orofacial region have been reported in the English literature. Out of these, only a few presented without any systemic complications. This case reports an unusual occurrence of GS without any associated leukemia involving the mandible of a 29-year-old male patient. Hematoxylin and eosin–stained sections revealed the presence of numerous rounds to ovoid myeloblasts with a multilobated, vesicular nucleus and a prominent nucleolus. The cells stained positive for Cluster of Differentiation 68, lysozyme, and myeloperoxidase. He later underwent chemotherapy but succumbed in the interim period of chemotherapy. We hereby report a unique case of GS of mandible in an apparently healthy individual who deteriorated rapidly; an early and accurate diagnosis of which could have been life-saving.
Linguistic variation in mediated diplomatic communication: a full multi-dimensional analysis of interpreted language in Chinese Regular Press Conferences
Authors: Yao Yao , Li Dechao , Huang Yingqi , Sang Zhonggang
Published: October 2024

The integration of corpus linguistics within translation studies has revolutionised our understanding of mediated language. This study endeavours to advance this burgeoning field by employing a full multi-dimensional analysis to investigate linguistic variation in interpreted language within the specialised context of diplomatic discourse. Specifically, the research examines the co-occurring patterns of linguistic features in interpreted diplomatic language vis-à-vis its non-interpreted counterpart. Employing a multivariate statistical technique, this investigation conducted a factor analysis of 113 linguistic variables, yielding five distinct linguistic dimensions: (1) Involved vs. Informational Production, (2) Objective vs. Addressee-focused Narration, (3) Literate-Oral Continuum, (4) Information Elaboration, and (5) Narrative vs. Non-narrative Concerns. The resulting patterns demonstrate that interpreted diplomatic language tends to be more informative, objective, less elaborated, non-narrative, and aligns more closely with formal registers compared to its non-interpreted counterpart, although both navigate the literate-oral continuum. This study delineates the prevailing co-occurrence patterns in interpreted and non-interpreted diplomatic languages and seeks to elucidate the potential factors shaping these linguistic variations by situating these patterns within the context of diplomatic communication. In doing so, it contributes to a nuanced understanding of how specialised contexts influence mediated language use. The findings have significant implications for corpus-based interpreting studies, shedding light on the multi-dimensional nature of interpreted language and informing the development of targeted pedagogical approaches for diplomatic interpreter training.
Distributed phase-matching measurement enabled dynamic temperature–strain discrimination using single chirped pulse probe
Authors: Wang Yuan , Tovar Pedro , Cotton-Dumouchel Mathieu , Chen Liang , Bao Xiaoyi
Published: October 2024

Distributed optical fiber sensors with the capability of dynamic temperature and strain discrimination can be used for various applications, including perimeter security, structural health monitoring, and seismic sensing, as they can access the tolerance of the structures and sites to natural hazards, such as earthquakes, fires, and overflows. Here, we propose a hybrid Brillouin/Rayleigh sensing system that combines distributed phase matching measurement via Brillouin dynamic grating and inhomogeneity-induced Rayleigh scatting in polarization-maintaining fiber. Due to the high birefringence of polarization-maintaining fibers imposed by the stress-rods, the detection of Brillouin dynamic gratings results in opposite signs of spectral shifts under the changed temperature and strain, giving a high discrimination accuracy. In addition, the usage of a single chirped probe pulse signal allows a single end detection system for Rayleigh of the probe wave and idler wave from stimulated Brillouin scattering enhanced four-wave mixing, which simplified the sensing system significantly. Driven by the high spatial resolution ability of distributed phase matching measurement without phonon lifetime limitation, an intensity-based analysis approach for Rayleigh traces is carried out to resolve the external perturbation applied in a short section that is smaller than the spatial distinctness associated pulse width. In the proof-of-concept experiments, a simultaneous strain and temperature variation within a 40 cm fiber section are successfully discriminated with noise equivalent discrimination errors for strain and temperature of 112.2 nɛ and 10.9 m °C. The spatial resolution here is 2 m, and the maximum system’s sampling rate is up to 100 kHz without average, corresponding to the sensing distance of 1 km.
Thermally and chemically reactive boundary layer flow past a wedge moving in a nanofluid with activation energy and thermophoretic diffusion effects
Authors: Ullah Zia , Alam Md. Mahbub , Khan Aamir Abbas , Malik Arfa , Alkarni Shalan , Khan Qaisar , Merga Feyisa Edosa
Published: October 2024

This study investigates the effects of activation energy and chemical reactions on the boundary layer flow around a wedge that is moving in a nanofluid. To represent the problem, nonlinear partial differential equations are utilized. These equations can be reduced to nonlinear coupled ordinary differential equations using similarity transformations. These equations are numerically solved using the Keller Box technique, and then their numerical and pictorial solutions are studied using MATLAB. The study looks at the relationship between the velocity, temperature, and concentration profiles and important factors such as the Prandtl number, constant moving parameter, activation energy, and reaction rate. The parametric range of factors such as 0.1 ≤ λ ≤ 1.0, 0.1 ≤ Le ≤ 3.0, 0.1 ≤ E ≤ 2.0, 0.1 ≤ Pr ≤ 7.0, 0.1 ≤ Nt ≤ 0.5, 0.1 ≤ Nb ≤ 1.0, 0.1 ≤ σ ≤ 3.4, 0.1 ≤ δ ≤ 2.5, and 0.1 ≤ β ≤ 2.0 is utilized. Furthermore, a comprehensive investigation is conducted into the remedies for skin friction and heat transmission rate. It is deduced that a growing magnitude in moving fluid velocity is noted for lower Prandtl, moving factor, reaction factor, and greater activation energy. It is depicted that the maximum enhancing magnitude in temperature and concentration with good distributions is examined for each pertinent factor. The growing magnitude of heat transport is noted for lower Lewis and temperature-difference factors but increases as pressure-gradient and Brownian factor rise.
Modelling the impact of increasing supplementary feed allowance on predicted sheep enterprise production, profit and financial risk across southern Australia
Authors: Bates A. L. , Robertson S. M. , McGrath S. R. , Allworth M. B. , Refshauge G.
Published: October 2024

Context Supplementary feeding may alter sheep enterprise production and profit margin, but use may vary across regions, sheep breeds and mating seasons. Supplementary feeding is a means of ensuring adequate nutrition but increases operating costs. Modelling has previously indicated the most profitable sheep enterprises optimise stocking rate and target lamb production, whereas those that minimise supplementary feeding incur the least financial risk. Aims To explore the impact of increasing supplementary feed allowance on production, profit and financial risk. Methods Seventy-two sheep farm enterprises were simulated across eight southern Australian locations, including three breeds and three mating seasons. For each enterprise a low grain allowance (LGA) of 30 kg/head.year (threshold used in previous modelling) was compared to a high grain allowance (HGA) of 35 kg/head.year and 42 kg/head.year for Merino and non-Merino ewes (current industry recommendations), respectively. The financial risk of each enterprise was determined via Conditional Value at Risk of gross margins over 30 years, exploring downside risk in the worst 20% of scenarios. Key results A HGA increased production and profit in 32% of farm enterprises, but financial risk was often increased. Merino enterprises were generally the most profitable, least risky and consumed the greatest amount of supplementary feed, followed by Composite and then Maternal enterprises. Summer and autumn mating was often most profitable, but high supplement consumption in autumn-mated enterprises increased financial risk. Conclusions Increasing supplementary feeding may improve production and profit but may also increase financial risk using the parameters examined. Implications Producers may be able to improve the production, profit and financial risk of an enterprise through increased supplementary feeding, but this will be dependent on breed, input costs, commodity prices and location.
Identification and characterisation of ‘No apical meristem; Arabidopsis transcription activation factor; Cup-shape cotyledon’ (NAC) family transcription factors involved in sugar accumulation and abscisic acid signalling in grape (Vitis vinifera)
Authors: Xia Shuang , Qi Xinyuan , Yang Jinli , Deng Qiaoyun , Wang Xiuqin
Published: October 2024

The ‘No apical meristem; Arabidopsis transcription activation factor; Cup-shape cotyledon’ (NAC) transcription factors are pivotal in plant development and stress response. Sucrose-non-fermenting-related protein kinase 1.2 (SnRK1) is a key enzyme in glucose metabolism and ABA signalling. In this study, we used grape (Vitis vinifera) calli to explore NAC’s roles in sugar and ABA pathways and its relationship with VvSnRK1.2. We identified 19 VvNACs highly expressed at 90 days after blooming, coinciding with grape maturity and high sugar accumulation, and 11 VvNACs randomly selected from 19 were demonstrated in response to sugar and ABA treatments. VvNAC26 showed significant response to sugar and ABA treatments, and its protein, as a nucleus protein, had transcriptional activation in yeast. We obtained the overexpression (OE-VvNAC26) and RNA-inhibition (RNAi-VvNAC26) of VvNAC26 in transgenic calli by Agrobacterium tumefaciens-mediated transformation. We found that VvNAC26 negatively influenced fructose content. Under sugar and ABA treatments, VvNAC26 negatively influenced the expression of most sugar-related genes, while positively influencing the expression of most ABA pathway-related genes. Dual-luciferase reporter experiments demonstrated that VvNAC26 significantly upregulates VvSnRK1.2 promoter expression in tobacco (Nicotiana benthamiana) leaves, although this process in grape calli requires ABA. The levels of sugar content, sugar-related genes, and ABA-related genes fluctuated significantly in OE-VvNAC26 + RNAi-VvSnRK1.2 and OE-VvSnRK1.2 + RNAi-VvNAC26 transgenic calli. These findings indicated that VvNAC26 regulates sugar metabolism and ABA pathway, displaying synergistic interactions with VvSnRK1.2.
O-GlcNAcylation of enolase 1 serves as a dual regulator of aerobic glycolysis and immune evasion in colorectal cancer
Authors: Zhu Qiang , Li Jingchao , Sun Haofan , Fan Zhiya , Hu Jiating , Chai Siyuan , Lin Bingyi , Wu Liming , Qin Weijie , Wang Yong , Hsieh-Wilson Linda C. , Yi Wen
Published: October 2024

Aerobic glycolysis and immune evasion are two key hallmarks of cancer. However, how these two features are mechanistically linked to promote tumor growth is not well understood. Here, we show that the glycolytic enzyme enolase-1 (ENO1) is dynamically modified with an
O
-linked β-
N
-acetylglucosamine (O-GlcNAcylation), and simultaneously regulates aerobic glycolysis and immune evasion via differential glycosylation. Glycosylation of threonine 19 (T19) on ENO1 promotes its glycolytic activity via the formation of active dimers. On the other hand, glycosylation of serine 249 (S249) on ENO1 inhibits its interaction with PD-L1, decreases association of PD-L1 with the E3 ligase STUB1, resulting in stabilization of PD-L1. Consequently, blockade of T19 glycosylation on ENO1 inhibits glycolysis, and decreases cell proliferation and tumor growth. Blockade of S249 glycosylation on ENO1 reduces PD-L1 expression and enhances T cell–mediated immunity against tumor cells. Notably, elimination of glycosylation at both sites synergizes with PD-L1 monoclonal antibody therapy to promote antitumor immune response. Clinically, ENO1 glycosylation levels are up-regulated and show a positive correlation with PD-L1 levels in human colorectal cancers. Thus, our findings provide a mechanistic understanding of how O-GlcNAcylation bridges aerobic glycolysis and immune evasion to promote tumor growth, suggesting effective therapeutic opportunities.
Equine-Assisted Service Sessions in Crossties, Arenas and 10-acre Pastures: Does It Matter?
Authors: Nieforth Leanne
Published: October 2024

This hypothetical case study focuses on how space may influence the interactions between and the concurrent welfare of humans and equines participating in equine-assisted services. Considering the importance of agency and limitations defined by different spaces or settings, the case illustrates multiple strategies for intentionally acknowledging and incorporating spaces that promote wellbeing of both humans and equines. The welfare of equines in equine-human interactions is of utmost importance, yet standards of practice within equine-assisted service organizations and the resulting welfare of the equines vary. For example, some organizations facilitate equine-human interaction sessions at liberty with equines and humans interacting in wide open spaces, while other organizations facilitate sessions where the equine is restrained in some capacity (e.g., on halter/lead, cross tied, in a round pen). In this hypothetical case study, we discuss how the space in which an equine-human interaction occurs may have a direct impact on the interactions between and concurrent wellbeing of both human and equine participants. Situated in the framework of the Five Domains Model, we describe how the intentionality of space influences behavioural interactions with both human participants and equine participants. We focus on describing a practice that enables agency (ability to shape one’s own behaviours) and movement for both humans and equines. After reading this case study, practitioners will be able to evaluate how space can be a factor in sessions and will be able to extrapolate practical ideas that may improve the welfare of the equines within sessions. Considerations put forth in this case study centre the notion of space and its potential role in promoting positive wellbeing for both humans and equines within equine-human interactions.

Information

© The Author 2024
Mechanism of acid-sensing ion channel modulation by Hi1a
Authors: Berger Kyle D. , MacLean David M.
Published: October 2024

Acid-sensing ion channels (ASICs) are trimeric cation-selective channels activated by extracellular acidification. Amongst many pathological roles, ASICs are an important mediator of ischemic cell death and hence an attractive drug target for stroke treatment as well as other conditions. A peptide called Hi1a, isolated from Australian funnel web spider venom, inhibits ASIC1a and attenuates cell death in a stroke model up to 8 h after stroke induction. Here, we set out to understand the molecular basis for Hi1a’s action. Hi1a is a bivalent toxin with two inhibitory cystine knot domains joined by a short linker. We found that both Hi1a domains modulate human ASIC1a gating with the N-terminal domain impairing channel activation while the C-terminal domain produces a “pro-open” phenotype even at submicromolar concentrations. Interestingly, both domains bind at the same site since a single point mutation, F352A, abolishes functional effects and reduces toxin affinity in surface plasmon resonance measurements. Therefore, the action of Hi1a at ASIC1a appears to arise through a mutually exclusive binding model where either the N or C domain of a single Hi1a binds one ASIC1a subunit. An ASIC1a trimer may bind several inhibitory N domains and one or more pro-open C domains at any one time, accounting for the incomplete inhibition of wild type Hi1a. We also found that the functional differences between these two domains are partially transferred by mutagenesis, affording new insight into the channel function and possible novel avenues of drug design.