bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interferon signaling promotes tolerance to chromosomal instability during metastatic evolution in renal cancer
Authors: Perelli Luigi , Carbone Federica , Zhang Li , Huang Justin K. , Le Courtney , Khan Hania , Citron Francesca , Del Poggetto Edoardo , Gutschner Tony , Tomihara Hideo , Soeung Melinda , Minelli Rosalba , Srinivasan Sanjana , Peoples Michael , Lam Truong Nguyen Anh , Lundgren Sebastian , Xia Ruohan , Zhu Cihui , Mohamed Alaa M. T. , Zhang Jianhua , Sircar Kanishka , Sgambato Alessandro , Gao JianJun , Jonasch Eric , Draetta Giulio F. , Futreal Andrew , Bakouny Ziad , Van Allen Eliezer M. , Choueiri Toni , Signoretti Sabina , Msaouel Pavlos , Litchfield Kevin , Turajlic Samra , Wang Linghua , Chen Ying Bei , Di Natale Renzo G. , Hakimi A. Ari , Giuliani Virginia , Heffernan Timothy P. , Viale Andrea , Bristow Christopher A. , Tannir Nizar M. , Carugo Alessandro , Genovese Giannicola 
Published: June 2023

AbstractMolecular routes to metastatic dissemination are critical determinants of aggressive cancers. Through in vivo CRISPR–Cas9 genome editing, we generated somatic mosaic genetically engineered models that faithfully recapitulate metastatic renal tumors. Disruption of 9p21 locus is an evolutionary driver to systemic disease through the rapid acquisition of complex karyotypes in cancer cells. Cross-species analysis revealed that recurrent patterns of copy number variations, including 21q loss and dysregulation of the interferon pathway, are major drivers of metastatic potential. In vitro and in vivo genomic engineering, leveraging loss-of-function studies, along with a model of partial trisomy of chromosome 21q, demonstrated a dosage-dependent effect of the interferon receptor genes cluster as an adaptive mechanism to deleterious chromosomal instability in metastatic progression. This work provides critical knowledge on drivers of renal cell carcinoma progression and defines the primary role of interferon signaling in constraining the propagation of aneuploid clones in cancer evolution.
Local eukaryotic and bacterial stream community assembly is shaped by regional land use effects
Authors: Weigel Benjamin , Graco-Roza Caio , Hultman Jenni , Pajunen Virpi , Teittinen Anette , Kuzmina Maria , Zakharov Evgeny V , Soininen Janne , Ovaskainen Otso 
Published: June 2023

Abstract
With anticipated expansion of agricultural areas for food production and increasing intensity of pressures stemming from land-use, it is critical to better understand how species respond to land-use change. This is particularly true for microbial communities which provide key ecosystem functions and display fastest responses to environmental change. However, regional land-use effects on local environmental conditions are often neglected, and, hence, underestimated when investigating community responses. Here we show that the effects stemming from agricultural and forested land use are strongest reflected in water conductivity, pH and phosphorus concentration, shaping microbial communities and their assembly processes. Using a joint species distribution modelling framework with community data based on metabarcoding, we quantify the contribution of land-use types in determining local environmental variables and uncover the impact of both, land-use, and local environment, on microbial stream communities. We found that community assembly is closely linked to land-use type but that the local environment strongly mediates the effects of land-use, resulting in systematic variation of taxon responses to environmental conditions, depending on their domain (bacteria vs. eukaryote) and trophic mode (autotrophy vs. heterotrophy). Given that regional land-use type strongly shapes local environments, it is paramount to consider its key role in shaping local stream communities.
Stochastic geometry modelling and analysis for cooperative NOMA with large transmit antennas for 5G applications and beyond
Authors: Tweneboah‐Koduah Samuel , Affum Emmanuel Ampoma , Ansere James Adu , Gyamfi Eric , Opare Kwasi Adu‐Boahen , Ajagbe Sunday Adeola , Adigun Matthew O. 
Published: June 2023

AbstractAmong the technologies that have made 5G wireless communication successful are non‐orthogonal multiple access (NOMA) and cooperative NOMA. The distinction is that cooperative NOMA adds coding schemes to improve performance. Nevertheless, research on cooperative NOMA has primarily used theoretical correlation‐based stochastic models (CBSM) instead of geometric‐based stochastic models (GBSM) that represent suitable channel conditions by including characteristics like path loss, delay profile, and angle of arrival in the model. This paper connects the low adoption of GBSM is due to computational challenges. Given this, it is essential to assess cooperative NOMA that employs GBSM with large antenna transmitters to meet future 5G expectations. The cooperative NOMA system's transmitter is modelled as a uniform rectangular array and a novel channel realisation is proposed for analysis. The location vector of the antenna using the physical dimension of the array is defined to reduce computational problems. Results shows that the average bit‐error performance of GBSM matches that of CBSM at the same antenna element separation, but the spatial correlation between antenna elements significantly impacts the outage probability and average achievable rates of GBSM performance. Enhanced GBSM performance by increasing antenna separation at the transmitter above one‐eighth wavelength.
Research on load frequency control of multi‐microgrids in an isolated system based on the multi‐agent soft actor‐critic algorithm
Authors: Xie Li Long , Li Yonghui , Fan Peixiao , Wan Li , Zhang Kanjun , Yang Jun 
Published: June 2023

AbstractLoad variation, distributed power output uncertainty and multi‐microgrids network complexity have brought great difficulties to the frequency stability of the whole microgrid. To address this problem, this paper uses a multi‐agent deep reinforcement learning(DRL) algorithm to design the controllers to control the frequency of the multi‐microgrids. Firstly, a load frequency control (LFC) model for multi‐microgrids was built. Secondly, based on the centralized training and decentralized execution (CTDE) multi‐agent reinforcement learning (RL) framework, the multi‐agent soft actor‐critic (MASAC) algorithm was designed and applied to the multi‐microgrids model. The state space and action space of multi‐agent were established according to the frequency deviation of every sub‐microgrid and the output of each distributed power source. The reward function was then established according to the frequency deviation. The appropriate neural network and training parameters were selected to generate the interconnected microgrid controllers through multiple training of pre‐learning. Finally, the simulation study shows that the MASAC controller proposed in this paper can quickly maintain frequency stability when the system is disturbed. Sensitivity analysis shows that the MASAC controller can effectively cope with the uncertainty of the system parameters.
A new approach to load modelling for a power electronics‐based load structure
Authors: Asl Ramin Alizadeh , Asl Amin Alizadeh 
Published: June 2023

AbstractThis paper presents a new non‐linear complex load structure that consists of two induction motors, a DC motor, a static load and electric vehicle charging stations. The proposed structure covers modern power system loads behaviour. Additionally, there is a need for an automatic method of load modelling that is accurate and suitable for new loads. This paper proposes an automated load modelling (ALM) method for a new composite load structure based on a software tool. This paper presents two new load models besides the conventional load models. All load models are simultaneously used in each sliding window in the proposed ALM, and the best load model is chosen by the root mean square error (RMSE) criterion. It makes the proposed method to be more accurate than other similar methods. Because in this case, the proposed method becomes independent of variations in load composition, in contrast to other methods. This paper also discusses the length of the sliding window, which, unfortunately, has not been sufficiently covered in published articles on load modelling. The proposed load structure is applied to the New England 39‐bus system in DIgSILENT POWER FACTORY software. MATLAB/curve fitting toolbox is used for an optimization problem.
Tentative co-orbital submillimeter emission within the Lagrangian region L5 of the protoplanet PDS 70 b
Authors: Balsalobre-Ruza O. , de Gregorio-Monsalvo I. , Lillo-Box J. , Huélamo N. , Ribas Á. , Benisty M. , Bae J. , Facchini S. , Teague R. 
Published: June 2023

Context. High-spatial resolution Atacama Large Millimeter/submillimeter Array (ALMA) data have revealed a plethora of substructures in protoplanetary disks. Some of those features are thought to trace the formation of embedded planets. One example is the gas and dust that accumulated in the co-orbital Lagrangian regions L4/L5, which were tentatively detected in recent years and might be the pristine material for the formation of Trojan bodies.
Aims. This work is part of the TROY project, whose ultimate goal is to find robust evidence of exotrojan bodies and study their implications in the exoplanet field. Here, we focus on the early stages of the formation of these bodies by inspecting the iconic system PDS 70, the only confirmed planetary system in formation.
Methods. We reanalyzed archival high-angular resolution Band 7 ALMA observations from PDS 70 by doing an independent imaging process to look for emission in the Lagrangian regions of the two detected gas giant protoplanets, PDS 70 b and c. We then projected the orbital paths and visually inspected emission features at the regions around the L4/L5 locations as defined by ±60° in azimuth from the planet position.
Results. We found emission at a ~4-σ level (~6-σ when correcting from a cleaning effect) at the position of the L5 region of PDS 70 b. This emission corresponds to a dust mass in a range of 0.03–2 MMoon, which potentially accumulated in this gravitational well.
Conclusions. The tentative detection of the co-orbital dust trap that we report requires additional observations to be confirmed. We predict that we could detect the co-orbital motion of PDS 70 b and the dust presumably associated with L5 by observing again with the same sensitivity and angular resolution as early as February 2026.
Fondements pour une géographie plus qu’humaine durewilding : revue de littérature et proposition de définition
Authors: Dehaut Salomé 
Published: June 2023

Lerewildingest un terme récent mais déjà polysémique, ce qui donne lieu à des critiques relatives à la cohérence des projets s’en réclamant ainsi qu’à leur capacité à proposer une nouvelle direction pour l’action écologique. Sa définition la plus directe, comme principe d’action écologique visant à rendre un élément (espace, espèce, écosystème) à nouveau sauvage, pose elle-même question. Le recours à la notion d’autonomie plus qu’humaine permet de surmonter ces critiques : les initiatives derewildingimpliquent un décentrement des êtres humains de l’action écologique et sont à envisager comme des agencements humains/autres qu’humains sans but prédéfini. L’approche de géographie plus qu’humaine apporte une nouvelle perspective à l’étude de cet objet et plus largement à la réflexion sur les relations au sauvage et au vivant dans son ensemble.
Klinische Studien zur Prävention und Therapie von Diabetes
Authors: Schick Renate , Birkenfeld Andreas , Roden Michael , Ziegler Anette-G. , Fröhlich Brigitte 
Published: June 2023

ZUSAMMENFASSUNGKlinische Studien zu Diabetes mellitus sind nicht nur entscheidend für die Zulassung neuer Arzneimittel. Sie testen auch etablierte Präventionsmaßnahmen und Therapieformen und schaffen neue Erkenntnisse zu Ursachen und Mechanismen der unterschiedlichen Krankheitsverläufe des Diabetes und seiner Folgen. Aktuelle Fragestellungen dazu bearbeiten die Partner des Deutschen Zentrums für Diabetesforschung (DZD) gemeinsam im Rahmen von Multicenterstudien. Unter anderem zeigen diese Studien, dass die Diabeteserkrankung, aber auch bereits Prädiabetes sehr heterogen sind. Diese einzelnen Subtypen haben spezifische Risiken für den weiteren Krankheitsverlauf und die Entwicklung von Komorbiditäten und Komplikationen. Das DZD sucht laufend Teilnehmer*innen für klinische Studien, die u. a. das individuelle Ansprechen auf innovative Lebensstil- und Arzneimitteltherapien prüfen.
Ipsilateral Uterine Artery Access Through Unilateral Transfemoral Approach Using Simple-Curve Catheter
Authors: Lal Anupam , Vijayvergiya Rajesh , Singhal Manphool 
Published: June 2023

AbstractUterine artery embolization (UAE) is a technique for management of various obstetrical and gynecological problems. Transfemoral approach (TFA) is preferred which can be unilateral or bilateral; however, unilateral puncture is preferred due to lesser chances of puncture-related complications as compared to bilateral puncture. UAE through unilateral TFA is possible with use of reverse loop catheters (Roberts uterine catheter [RUC] or Gandras catheter) to access ipsilateral uterine artery. Other way of cannulating the ipsilateral uterine artery is by maneuvering catheters to form Waltman's loop/Simmon's reverse loop. With advent of RUC, unilateral TFA became standard of care. In the recent past, RUC was retracted from Indian market and its nonavailability had mandated use of either bilateral TFA or use of catheters and techniques used in the past for unilateral TFA. Herein, we describe a technique of doing UAE by unilateral TFA using simple gentle curve catheter (Picard) by making a reverse curve loop.
Quantum Monte Carlo simulations for estimating FOREX markets: a speculative attacks experience
Authors: Alaminos David , Salas M. Belén , Fernández-Gámez Manuel Á. 
Published: June 2023

AbstractThe foreign exchange markets, renowned as the largest financial markets globally, also stand out as one of the most intricate due to their substantial volatility, nonlinearity, and irregular nature. Owing to these challenging attributes, various research endeavors have been undertaken to effectively forecast future currency prices in foreign exchange with precision. The studies performed have built models utilizing statistical methods, being the Monte Carlo algorithm the most popular. In this study, we propose to apply Auxiliary-Field Quantum Monte Carlo to increase the precision of the FOREX markets models from different sample sizes to test simulations in different stress contexts. Our findings reveal that the implementation of Auxiliary-Field Quantum Monte Carlo significantly enhances the accuracy of these models, as evidenced by the minimal error and consistent estimations achieved in the FOREX market. This research holds valuable implications for both the general public and financial institutions, empowering them to effectively anticipate significant volatility in exchange rate trends and the associated risks. These insights provide crucial guidance for future decision-making processes.
Solvothermal vapor annealing setup for thin film treatment: A compact design with in situ solvent vapor concentration probe
Authors: Ariaee Sina , Jakobsen Bo , Pedersen Ib Høst , Rasmussen Torben Steen , Posselt Dorthe 
Published: June 2023

A compact setup for in situ solvothermal vapor annealing of thin polymer films in the temperature range from room temperature to 70 °C is presented. The design is optimized to avoid solvent condensation in tubes and other components. The setup consists of a chamber, a gas delivery system, a commercial film-thickness measuring device, and a solvent vapor concentration sensor. The chamber is equipped with heaters and thermometers and is thermally insulated. It has windows to allow for penetration of xrays together with a sample table with a gas distributer to ensure homogeneous swelling of the polymer film. The computer-controlled gas delivery system has two different components, which can be used separately or in parallel (for mixed gas solvent annealing): (a) mass flow controllers and a bubbler system and (b) a commercial “controlled evaporation and mixing” system. The film-swelling ratio is determined in situ using optical reflectometry, and the solvent concentration in the exhaust gas is continuously monitored by UV-absorption. Test results are presented where the setup is used for swelling of ∼100 nm thick polystyrene and polyisoprene homopolymer films with toluene and acetone, respectively.
On sequential warped product manifolds admitting gradient Ricci-harmonic solitons
Authors: Karaca Fatma , Özgür Cihan 
Published: June 2023

Abstract
We consider sequential warped product manifolds admitting gradient Ricci-harmonic solitons. We give the main relations for a gradient Ricci-harmonic soliton on sequential warped product manifolds. As physical applications, we consider gradient Ricci-harmonic solitons on sequential generalized Robertson-Walker space-times and sequential standard static space-times.
The role of a highly optimized approach with superior transparent conductive oxide anode towards efficient organic solar cell
Authors: Gogoi Dipankar , Das T D 
Published: June 2023

Abstract
The effort emphasizes the numerical analysis of different transparent conducting oxides (TCOs) perspectives, which include ITO, FTO, AZO, and IZO anode-based organic solar cells (OSCs) with the drift-diffusion approach. The prior selection of aluminum-doped zinc oxide (AZO) as TCO is feasible for more extended transparency and antireflection due to a tailored absorption wavelength of <380 nm and the factors of higher mechanical flexibility, low-cost processing, and realistic performance at lower temperatures. To confirm the stability and reproducibility of the design OSC, the contribution of each interfacial layer thickness, i.e., AZO as TCOs, P3HT: PC61BM as an organic absorbing layer (OAL), Spiro-OMeTAD (SOT) as a hole-transport layer (HTL), and ZnO as an electron-transport layer (ETL), is also investigated. Furthermore, functions of optimum trap-state densities (

N

t

) and charge carrier mobility (

μ

n
,
p

) in OAL have been performed to aid in increasing the diffusion length of excitons carriers (

L

n
,
p

). These properties led to better photogeneration and transport of charge carriers, decreasing the series resistance (RS), leading to lower bimolecular recombination, a long carrier lifetime (

τ

n
,
p

), and consequently higher power conversion efficiency (PCE). The findings revealed that the proposed OSC structure achieves an excellent PCE of 10.28% for AZO as TCO with an 850 nm ultra-thick OAL under AM 1.5 G light irradiation. Hence, a better fabrication process for efficient OSC could also be improved by the optimization of all these critical factors for future research.
Low-temperature enhanced figure of merit of ThSixP1-x and prospects for thermoelectric energy performance
Authors: Bashir Azmat Iqbal , Irfan Muhammad , Azam Sikander , Siddique Muhammad 
Published: June 2023

Abstract
Rare Earth metals and actinides-based materials gained immense attention of scientists and technologists owing to their fascinating fundamental and applied prospects. These are large density, neutron abundance, enhanced melting temperature and thermal stability which enhance their thermal performance. Herein, we report on the low temperature-enhanced thermoelectric performance of ThP through silicon substitution via ThSixP1-x (x = 0, 0.25, 0.5, 0.75, 1). For the density functional theory-based quantum computation analysis on the Si substitution-assisted properties of ThP, we utilize all-electron full-potential with linearized augmented plane wave. For the theoretical characterization of the compounds for the desired properties, we treat the exchange-correlation density functional within TB-mBJ approximation. The computed thermoelectric properties via Boltzmann theory as implemented in BoltzTrap computer code are Seebeck coefficient (

S

), electrical (

σ

) and thermal conductivity (

k

), power factor (PF) (

S

2

σ

), and figure of merit (

ZT

). The substitution of Si into ThP renders a considerable enhancement of thermoelectric and transport performance of the ThSixP1-x samples with enhanced

σ
,

PF, and ZT of orders 3.0 × 1020

Ω
.
s
.
cm

−
1

,

2.5 × 1012 Wm−1K−2s−1 and 1.6 at 50 K, respectively. To our knowledge, this is the highest low-temperature thermal efficiency achieved for the metallic thorium silicides. As such, the reported results hold great promise for fundamental prospects and technological interest such as thermoelectricity and fertile materials as nuclear fuel for clean nuclear energy technology.
Einstein–Podolsky–Rosen steering and coherence in structured environments
Authors: Berrada K , Eleuch H 
Published: June 2023

Abstract
We examine the quantum steering and coherence for two qubits that are immersed in an isotropic (I) and anisotropic (A) photonic band-gab (PBG) crystal. We show how the steerability and coherence of the qubits’ state depends on the essential parameters of the model and initial state setting of the qubits. We find that the prevention of the amount of quantum steering and coherence can be achieved in the presence of PBG materials by a considerable choice of the system parameters. Furthermore, we show that the quantum steering and coherence can resist the degradation during the dynamics in IPBG more than in APBG according to the same physical conditions. Finally, we illustrate the relationship between the quantum steering and coherence with respect to the system parameters under the decoherence effect. These obtained results reveal that quantum systems in PBG materials are very useful to implement diverse applications of quantum technology with optimal performance.
Performance Analysis and Optimization of a Modified Stewart Platform for the Qitai Radio Telescope
Authors: Kazezkhan Guljaina , Xu Qian , Wang Na , Xue Fei , Wang Hui 
Published: June 2023

Abstract
This paper presents a modified Stewart platform that enables precise adjustment of the sub-reflector for the Qitai Radio Telescope (QTT). QTT demands a parallel platform capable of carrying a heavy load (≥4000 kg), and moving in elevation from 5° to 88° together with the primary reflector while precisely adjusting the sub-reflector’s position in five degrees of freedom. To meet these requirements, a modified Stewart platform with two separated actuators is proposed, and the comprehensive performance is analyzed and optimized for practical application. The performance of the modified platform is compared to that of the traditional Stewart platform, and the results demonstrate that the modified platform has superior load-bearing capacity and stiffness over the entire elevation angle with more uniform actuator load and stiffness distributions. These results indicate that the modified Stewart platform is well-suited for practical application in QTT.
Target-driven multi-input mapless robot navigation with deep reinforcement learning
Authors: Xing Hua , Yu Longfeng 
Published: June 2023

Abstract
Collision-free navigation without pre-built maps is a promising and challenging problem. To make full use of the information in the environment, we propose a multi-input mapless navigation framework that combines both vision-based and ranging-based approaches. It takes the position and orientation of the robot relative to the target as the reference, incorporating RGB-D images and distance measurements as state inputs to the deep reinforcement learning model. In the framework, Dual-VAE is designed to encode RGB images and depth images simultaneously, in order to effectively mine the intrinsic information of RGB-D images. Moreover, we engineer a special reward function that enables the robot to navigate with a smooth trajectory and leave redundant space with obstacles for other tasks. Target-driven multi-input mapless navigation framework has been experimentally proven to achieve satisfactory performance in simulation environments. Our source code and simulation environments are released at https://github.com/YosephYu/MultiInput-Mapless-Navigation.