bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Drone Operation Plan model to support the effect of uncertainty in advanced U-Space Capacity Planning Process
Authors: Büddefeld M , Crook I , Eduardo Teomitzi H , Kleikemper J , Picot T , Sanchez P , Seprey Y 
Published: June 2023

Abstract
Enabling high numbers of drone operations in urban environments will require an efficient and highly automated drone traffic management system that can help balance demand against novel capacity measures. The research project DACUS designed a new, social impact-and risk-based Dynamic Capacity Management (DCM) service. As a core element, Drone Operation Plans (DOP) as the central and reliable point-of-information must include all necessary information for the DCM service to evaluate and manage the demand and the associated uncertainty of those operations at various phases of the operations planning process.
This paper introduces a model to define and share DOPs that are enriched with information about technical capabilities of the drone, variations in the operating environment and the operational characteristics of each particular mission which helps facilitating the drone traffic management in capacity-constrained scenarios. The model aims to capture varying degrees and sources of uncertainty regarding the planned operations. Additionally, the model supports the integration of resolution plans to cope with a wide range of off-nominal scenarios and contingency events.
For evaluation, the proposed DOP model is implemented and used in experiments embedded in Sopra Steria’s UTM or U-space Collaborative Interface System (UCIS). A social impact model and a collision risk model are used in simulations with high traffic demand and the information of the DOPs is either updated or directly applied within the DCM processes. The influence of operational uncertainty is assessed in this work using the collision risk model, which evaluates the risk of drone operations to the public and identifies potential collision risk hotspots.
The simulation results show that the DOP model is suitable for the requirements of several U-space services and functions.
BUBBLES: A new concept of operations for separation management in the U-space
Authors: Puchol Cecilia Claramunt , Vélez Norberto Vera , Tejedor Juan Vicente Balbastre , Vila Carbó Joan A. 
Published: June 2023

Abstract
BUBBLES (Defining the building basic blocks for a U-space separation management service) is an Exploratory Research project funded by SESAR Joint Undertaking (SJU) that aims to define a new Concept of Operations (ConOps) to provide separation management by means of the U-space. In the context of this project, this work defines the principles on which separation management in the U-space is based, as well as the basic building blocks that support the separation management service and how they should be assembled and operated. One of the most important challenges in conflict management is the selection of appropriate separation minima. In this sense, this work proposes the calculation of dynamic separation minima, which are adapted to the traffic class, the operational environment, and the Communication, Navigation, and Surveillance (CNS) systems performance, and validates it by means of test-flights in a rural environment.
The temperature and drift law of hot spots of oil-immersed air-cooled power transformers
Authors: Ye Liu , Xin Yang , Jia Pengfei 
Published: June 2023

Abstract
This paper carries out three-dimensional transient simulation calculation of hot spot distribution of oil immersed air-cooled transformer under different working conditions based on the finite element method, couples the electromagnetic loss calculation result unit to the temperature field, and takes it as the heat source to establish the mapping relationship of magnetic heat flow multi physical field. Taking SFZ11-30000/110 transformer as an example, the temperature distribution and hotspot position under different working conditions are obtained. By comparing the results of the heating test, the effectiveness of the simulation model is verified. Studies have shown that as the load increases, the position of the hotspot shifts along the wind axis. After the fan is turned on, there is also an axial upward drift of about 3% at the hot spot, which provides a method basis for the winding insulation and heat dissipation design of oil immersed air-cooled power transformer.
Annual Contribution Electricity Forecasting Model Based on Logistic Regression Analysis
Authors: Lai Guoshu , Wu Guoyao , Lan Zhiqiang , Wu Xiaofang , Xia Sihui 
Published: June 2023

Abstract
Due to the complex characteristics of the annual contribution time series, it is difficult to achieve the ideal prediction effect by a single prediction. Therefore, the annual contribution electricity prediction model based on Logistic regression analysis is studied. The statistical method of time series analysis combined with the fuzzy correlation feature analysis method is used to obtain the high-voltage power transmission data of business expansion and the power consumption data after power transmission. We use the fuzzy clustering theory to complete the customer segmentation and accurately locate the same type of user groups. On this basis, we preprocess the characteristic data of the annual contribution electricity forecast and build the annual contribution electricity forecast model based on Logistic regression analysis to realize the annual contribution electricity forecast. The experimental results show that the proposed method has a good prediction effect of annual contribution power, and can effectively shorten the prediction time of annual contribution power.
Optimal design and performance analysis of Rotating Power Flow Controller
Authors: Yan Xiangwu , Li Yuzhen , Lian Kaige 
Published: June 2023

Abstract
In this paper, a scheme of rotating power flow controller (RPFC) is proposed, which can flexibly and effectively reduce the voltage deviation under the disturbance of distributed generation and load side. Firstly, based on the prototype of a new rotating power flow controller (RPFC) with a rated capacity of 40 kVA, a two-dimensional finite element model based on the core component RPST is established. Then the optimal parameter combination in RPST is determined by the Taguchi experiment method and weight calculation. Finally, Matlab, Maxwell, and Simplorer are used to realize the joint simulation of field-circuit coupling. The results show that the voltage regulation efficiency and power factors of RPFC are increased by 1.4% and 2.7% respectively under the optimal parameter combination, which provides a reference for the design and engineering application of large-capacity RPFC.
Electric Heating System of Residences without Central Heating: Power Supply Optimization
Authors: Sun Zijing , Zhu Qunzhi , Fu Zaiguo , Tian Xi , Yang Changhai , Wei Yong , Liu Zhengying 
Published: June 2023

Abstract
For conservation and environmental purposes, three electricity consumption models, power grid, power grid + PV and power grid + PV + battery, are proposed in this paper, the optimization of the electric heating energy consumption model is carried out with the objective of the highest annual net return of the system. The results showed that for the single-layer residence with a housing area of 100m2, the use of the power grid + photovoltaic system has the highest annual net income, as well as good economic and environmental benefits.
A Novel Operating Indexes Calculation Method for Distribution Network with High PV Penetration
Authors: Fan Hongjin , Sun Kaiqi , Ning Dalei , Li Peihao , Zhu Fengju , Dong Yuqing 
Published: June 2023

Abstract
High proportion of distributed photovoltaic power generation (PV) generally exists in the distribution network (DN). However, high PV penetration leads to power factor reduction, power quality decline, line loss changes, and other problems. Generally, most indexes in the power system are calculated according to the parameter conditions of the main network (MN), which means X>>R is set by default. However, it is different between the line parameters of the MN and the DN, causing significant errors in the calculation of the DN using the MN conditions (X>>R). This paper examines the causes and processes of the changes in the critical indexes caused by the incorporation of a high proportion of PV into the DN, such as grid-connected voltage and line loss, based on the different line parameter conditions between the MN and the DN. Considering the DN condition (X>>R is not tenable), a novel calculation method of main operating indexes for the DN with high PV proportion is proposed. Finally, a numerical model built on an actual DN is used to verify the conclusion by comparing the difference in the change process of the main indexes generated by the calculation based on the MN condition and the novel calculation method in the event of high PV penetration in the DN.
Fast time response detectors of alpha particles fabricated using CVD diamonds
Authors: Hou Qingfeng , Wang Tianning , Zhao Rui , Tang Jun , Qin Li , Ma Zongmin , Liu Jun 
Published: June 2023

Abstract
Diamond with extraordinary properties, such as fast
response, and extremely high thermal conductivity, is an ideal
choice for the next generation radiation detectors. In this paper, a
radiation detector based on a single crystal CVD diamond
(3 mm × 3 mm × 200 μm) with
(100) orientation is proposed to detect α radiation. The
detector employs gold films on the diamond as an electrical contact,
and the origin-symmetric current-voltage characteristics
demonstrated excellent Ohmic contact behavior. At an electric field
of 0.4 V/μm, a current dark value of 4 nA was measured. The
detector's pulse speed was tested using 5.486 MeV 241Am
sources. The time response of the detector to α particles
is fast, with a rise time of 260 ps, a fall time of 650 ps, and a
pulse width of 1.6 ns. These findings indicate that the detector
can be used as a sensor for α radiation.
Arctic amplification has already peaked
Authors: Davy Richard , Griewank Philipp 
Published: June 2023

Abstract
It has been demonstrated that the Arctic has warmed at almost four times the global average rate since 1979, a phenomenon known as Arctic amplification. However, this rapid Arctic warming is tightly linked to the retreat and thinning of summer sea ice, and so may be expected to weaken as the Arctic transitions to seasonal ice cover. Here we show evidence from gridded observations and climate reanalysis that Arctic amplification peaked sometime in the early 2000s. This occurred concurrently with a maximum in the rate of loss of sea ice area, thickness, and volume. From CMIP6 projections and the CESM2 large ensemble we see that Arctic amplification is unlikely to be so high again at any future point in the 21st century except in the lowest emissions scenarios in which global temperatures stabilize while the Arctic continues to warm.
A conceptual design of a thermal switch capacitor in a magnetocaloric device: experimental characterization of properties and simulations of operating characteristics
Authors: Petelin Nada , Kalin Mitjan , Kitanovski Andrej 
Published: June 2023

Abstract
The quest for better performance from magnetocaloric devices has led to the development of thermal control devices, such as thermal switches, thermal diodes, and thermal capacitors. These devices are capable of controlling the intensity and direction of the heat flowing between the magnetocaloric material and the heat source or heat sink, and therefore have the potential to simultaneously improve the power density and energy efficiency of magnetocaloric systems. We have developed a new type of thermal control device, i.e., a silicon mechanical thermal switch capacitor (
TSC). In this paper we first review recently developed thermal switches based on micro-electromechanical systems and present the operation and structure of our new TSC. Then, the results of the parametric experimental study on the thermal contact resistance, as one of the most important parameters affecting the thermal performance of the device, are presented. These experimental data were later used in a numerical model for a magnetocaloric device with a thermal switch-capacitor. The results of the study show that for a single embodiment, a maximum cooling power density of 970 W m−2 (510 W kgmcm
−1) could be achieved for a zero-temperature span and an operating frequency of 5 Hz. However, a larger temperature span could be achieved by cascading multiple magnetocaloric elements with TSCs. We have shown that the compact TSC can be used in caloric devices, even with small temperature variations, and can be used in a variety of practical applications requiring thermal regulation.
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities
Authors: Xu Jing , Li Fuyi , Li Chen , Guo Xudong , Landersdorfer Cornelia , Shen Hsin-Hui , Peleg Anton Y , Li Jian , Imoto Seiya , Yao Jianhua , Akutsu Tatsuya , Song Jiangning 
Published: June 2023

Abstract
Antimicrobial peptides (AMPs) are short peptides that play crucial roles in diverse biological processes and have various functional activities against target organisms. Due to the abuse of chemical antibiotics and microbial pathogens’ increasing resistance to antibiotics, AMPs have the potential to be alternatives to antibiotics. As such, the identification of AMPs has become a widely discussed topic. A variety of computational approaches have been developed to identify AMPs based on machine learning algorithms. However, most of them are not capable of predicting the functional activities of AMPs, and those predictors that can specify activities only focus on a few of them. In this study, we first surveyed 10 predictors that can identify AMPs and their functional activities in terms of the features they employed and the algorithms they utilized. Then, we constructed comprehensive AMP datasets and proposed a new deep learning-based framework, iAMPCN (identification of AMPs based on CNNs), to identify AMPs and their related 22 functional activities. Our experiments demonstrate that iAMPCN significantly improved the prediction performance of AMPs and their corresponding functional activities based on four types of sequence features. Benchmarking experiments on the independent test datasets showed that iAMPCN outperformed a number of state-of-the-art approaches for predicting AMPs and their functional activities. Furthermore, we analyzed the amino acid preferences of different AMP activities and evaluated the model on datasets of varying sequence redundancy thresholds. To facilitate the community-wide identification of AMPs and their corresponding functional types, we have made the source codes of iAMPCN publicly available at https://github.com/joy50706/iAMPCN/tree/master. We anticipate that iAMPCN can be explored as a valuable tool for identifying potential AMPs with specific functional activities for further experimental validation.
E-value: a superior alternative toP-value and its adjustments in DNA methylation studies
Authors: Yang Yifan , Liu Haoyuan , Liu Yi , Zhou Liyuan , Zheng Xiaoqi , Yue Rongxian , Mattson David L , Kidambi Srividya , Liang Mingyu , Liu Pengyuan , Pan Xiaoqing 
Published: June 2023

AbstractDNA methylation plays a crucial role in transcriptional regulation. Reduced representation bisulfite sequencing (RRBS) is a technique of increasing use for analyzing genome-wide methylation profiles. Many computational tools such as Metilene, MethylKit, BiSeq and DMRfinder have been developed to use RRBS data for the detection of the differentially methylated regions (DMRs) potentially involved in epigenetic regulations of gene expression. For DMR detection tools, as for countless other medical applications, P-values and their adjustments are among the most standard reporting statistics used to assess the statistical significance of biological findings. However, P-values are coming under increasing criticism relating to their questionable accuracy and relatively high levels of false positive or negative indications. Here, we propose a method to calculate E-values, as likelihood ratios falling into the null hypothesis over the entire parameter space, for DMR detection in RRBS data. We also provide the R package ‘metevalue’ as a user-friendly interface to implement E-value calculations into various DMR detection tools. To evaluate the performance of E-values, we generated various RRBS benchmarking datasets using our simulator ‘RRBSsim’ with eight samples in each experimental group. Our comprehensive benchmarking analyses showed that using E-values not only significantly improved accuracy, area under ROC curve and power, over that of P-values or adjusted P-values, but also reduced false discovery rates and type I errors. In applications using real RRBS data of CRL rats and a clinical trial on low-salt diet, the use of E-values detected biologically more relevant DMRs and also improved the negative association between DNA methylation and gene expression.
Sialylation: fate decision of mammalian sperm development, fertilization, and male fertility
Authors: Yi Shiqi , Feng Ying , Wang Yan , Ma Fang 
Published: June 2023

AbstractSperm development, maturation, and successful fertilization within the female reproductive tract are intricate and orderly processes that involve protein translation and post-translational modifications. Among these modifications, sialylation plays a crucial role. Any disruptions occurring throughout the sperm’s life cycle can result in male infertility, yet our current understanding of this process remains limited. Conventional semen analysis often fails to diagnose some infertility cases associated with sperm sialylation, emphasizing the need to comprehend and investigate the characteristics of sperm sialylation. This review reanalyzes the significance of sialylation in sperm development and fertilization and evaluates the impact of sialylation damage on male fertility under pathological conditions. Sialylation serves a vital role in the life journey of sperm, providing a negatively charged glycocalyx and enriching the molecular structure of the sperm surface, which is beneficial to sperm reversible recognition and immune interaction. These characteristics are particularly crucial during sperm maturation and fertilization within the female reproductive tract. Moreover, enhancing the understanding of the mechanism underlying sperm sialylation can promote the development of relevant clinical indicators for infertility detection and treatment.
Myeloid Cell-Specific Deletion of PDGFR-α Promotes Dysbiotic Intestinal Microbiota and thus Increased Colitis Susceptibility
Authors: Dörk Ronja , Pelczar Penelope , Shiri Ahmad M , Volmari Annika , Zierz Elisabeth , Giannou Anastasios , Böttcher Marius , Bosurgi Lidia , Huber Samuel , Manthey Carolin F 
Published: June 2023

Abstract

Background and Aims
The incidence of inflammatory bowel diseases [IBD] is steadily increasing, and thus the identification of new targets to improve therapy is a major goal. Growth factors of the PDGF family and their receptors are expressed early in intestinal development and are found in mononuclear cells and macrophages in adult tissues. Macrophages play a distinct role in the pathogenesis of IBD since their function is crucial to maintaining tolerance.

Methods
We aimed to study the role of myeloid expression of PDGFR-α in mediating intestinal homeostasis in mouse IBD and infectious models.

Results
Our results show that loss of myeloid PDGFR-α increases susceptibility to dextran saline sulphate-induced colitis. Accordingly, LysM-PDGFR-α-/- mice showed higher colitis scores, and reduced levels of anti-inflammatory macrophages compared to control mice. This effect was mediated via a pro-colitogenic microbiota, which developed in the absence of myeloid PDGFR-α and caused increased colitis susceptibility in gnotobiotic mice upon faecal microbiota transplantation compared to controls. Furthermore, LysM-PDGFR-α-/- mice had a leaky gut, accompanied by impaired phagocytosis, resulting in a severe barrier defect.

Conclusions
Taken together, our results indicate a protective role for myeloid PDGFR-α in maintaining gut homeostasis by promoting a protective intestinal microbiota and providing an anti-inflammatory macrophage phenotype.
Acute pulmonary tumour embolism and right systolic dysfunction in a hidden intrahepatic cholangiocarcinoma: case report
Authors: Portillo-Romero Alejandra , Cuevas-Medina Eric , Santa Ana-Bayona Maria Jose , Saenz-Ancira Santiago 
Published: June 2023

Abstract

Background
Pulmonary tumour embolism is a rare entity that can arise from a wide variety of neoplasms. It can initially manifest as a pulmonary embolism with right heart failure and be refractory to thrombolytic therapy. Cholangiocarcinoma is a rare malignancy that arises from the epithelium of the biliary tree, representing 3% of all the gastrointestinal malignancies, being the intrahepatic cholangiocarcinoma the second most common liver tumour after hepatocellular carcinoma.

Case summary
This case regards a patient that presented to our centre with acute pulmonary embolism, deep vein thrombosis, and unrevealing previous medical history. Imaging studies revealed pulmonary embolism, an ovarian mass, and multiple hepatic hypodensities. Throughout the hospitalization, the patient’s haemodynamic state and right heart failure worsened, eventually leading to multi-organ failure and death. Post-mortem evaluation revealed cholangiocarcinoma cells on the pulmonary arteries.

Discussion
Pulmonary tumour embolism is a rare pathology that can present with acute right heart failure. The diagnosis of occult cancer can be challenging, and the appropriate treatment for this entity remains an unexplored subject.
Mendelian randomisation reveals Sodium-glucose Cotransporter-1 inhibition's potential in reducing Non-Alcoholic Fatty Liver Disease risk
Authors: Dobbie Laurence J , Cuthbertson Daniel J , Hydes Theresa J , Alam Uazman , Zhao Sizheng Steven 
Published: June 2023

AbstractNon-alcoholic fatty liver disease (NAFLD) has no approved pharmacological treatments. Sodium-glucose cotransporter (SGLT)-1 is a glucose transporter that mediates small intestinal glucose absorption. We evaluated the impact of genetically proxied SGLT-1 inhibition (SGLT-1i) on serum liver transaminases and NAFLD risk. We used a missense variant, rs17683430, in the SLC5A1 gene (encoding SGLT1) associated with HbA1c in a genome-wide association study (n = 344 182) to proxy SGLT-1i. Outcome genetic data comprised 1483 NAFLD cases and 17 781 controls. Genetically proxied SGLT-1i was associated with reduced NAFLD risk (OR 0.36; 95%CI 0.15, 0.87; P = .023) per 1 mmol/mol HbA1c reduction, and with reductions in liver enzymes (alanine transaminase, aspartate transaminase, gamma-glutamyl transferase). Genetically proxied HbA1c, not specifically via SGLT-1i, was not associated with NAFLD risk. Colocalisation did not demonstrate genetic confounding. Overall, genetically proxied SGLT-1i is associated with improved liver health, this may be underpinned by SGLT-1-specific mechanisms. Clinical trials should evaluate the impact of SGLT-1/2 inhibitors on the prevention and treatment of NAFLD.