bluuebunny/crossref_metadata_2025_split huggingface dataset:
Avaliação da variabilidade inter e intracirurgião no planejamento pré-operatório da artroplastia reversa do ombro: Uma avaliação multicêntrica
Authors: Motta Filho Geraldo da Rocha , Amaral Marcus Vinicius Galvão , Nascimento Luis Gustavo Prata , Godinho André Couto , Checchia Caio Santos , Raffaelli Mauricio de Paiva , Pitta Rafael Peçanha , Leal Ana Carolina 
Published: August 2024

Resumo
Objetivo Avaliar a variabilidade intra e intercirurgião em relação à seleção e posicionamento dos implantes na artroplastia total reversa do ombro (ATRO).
Métodos Foi realizado um estudo transversal de avaliação de imagens de tomografias computadorizadas da articulação do ombro de pacientes com diagnóstico de doenças articulares degenerativas. Participaram do estudo sete especialistas em cirurgia do ombro, representando seis diferentes instituições. Os cirurgiões foram instruídos a planejar todos os casos duas vezes e a variabilidade inter e intracirurgião foi avaliada.
Resultados A correlação interclasse para versão e inclinação apresentou uma concordância baixa em relação à inclinação (0,26), e moderada em relação à versão (0,73) e à seleção do enxerto (0,54). Na avaliação intracirurgião houve uma correlação moderada para versão (0,55), inclinação (0,58) e seleção do implante (0,46), enquanto para a lateralização, a correlação foi alta (0,77).
Conclusão Este estudo comparativo do planejamento pré-operatório da ATRO entre diferentes cirurgiões evidenciou que não há, ainda, um consenso em relação aos parâmetros de posicionamento dos implantes durante o planejamento da cirurgia. No entanto, a maioria dos cirurgiões tendem a planejar para uma versão e inclinação de zero grau.
Catastrophic Thrombosis: A Narrative Review
Authors: Franchini Massimo , Focosi Daniele , Pezzo Mario Piergiulio , Mannucci Pier Mannuccio 
Published: August 2024

AbstractCatastrophic thrombosis is a severe condition characterized by a hypercoagulable tendency, leading to multiple thromboembolic events in different blood vessels, usually within a short timeframe. Several conditions have been associated with the development of catastrophic thrombosis, including the catastrophic antiphospholipid syndrome, thrombotic anti-platelet factor 4 immune disorders, thrombotic microangiopathies, cancers, the hyper-eosinophilic syndrome, pregnancy, infections, trauma, and drugs. Thrombotic storm represents a medical emergency whose management represents a serious challenge for physicians. Besides the prompt start of anticoagulation, a patient's prognosis depends on early recognition and possible treatment of the underlying condition. In this narrative review, we summarize the main characteristics of catastrophic thrombosis, analyzing the various conditions triggering such life-threatening complication. Finally, an algorithm with the diagnostic workup and the initial management of patients with catastrophic thrombosis is presented.
Accessory Penile Frenulum: May Go Unnoticed throughout the Journey to Graveyard
Authors: Rout Sunil Kumar , Patel Gulshan 
Published: August 2024

AbstractAn accessory frenulum of the penis is so rare that only four cases have been documented so far. We came across a case of 45-year-old, sexually active man who sought medical attention for right foot injury caused by a road traffic accident. During a detailed clinical evaluation, he was discovered to have double frenulum in his penis. Along with the normal ventral frenulum he had an additional dorsal frenulum located at the 10 O'clock position. No history of penile torsion could be elicited from the patient. He had completed his family by the time of presentation, without any symptom of sexual dysfunction or dyspareunia. He was not offered any treatment for this congenital anomaly as it did not have any functional or aesthetic implication. A literature review was conducted to determine the incidence, spectrum of clinical presentation, and management of this pathology.
Clinical, Laboratory, and Molecular Aspects of Congenital Fibrinogen Disorders
Authors: Casini Alessandro , Moerloose Philippe de , Neerman-Arbez Marguerite 
Published: August 2024

AbstractCongenital fibrinogen disorders (CFDs) include afibrinogenemia, hypofibrinogenemia, dysfibrinogenemia, and hypodysfibrinogenemia. The fibrinogen levels, the clinical features, and the genotype define several sub-types, each with specific biological and clinical issues. The diagnosis of CFDs is based on the measurement of activity and antigen fibrinogen levels as well as on the genotype. While relatively easy in quantitative fibrinogen disorders, the diagnosis can be more challenging in qualitative fibrinogen disorders depending on the reagents and methods used, and the underlying fibrinogen variants. Overall, quantitative and qualitative fibrinogen defects lead to a decrease in clottability, and usually in a bleeding tendency. The severity of the bleeding phenotype is moreover related to the concentration of fibrinogen. Paradoxically, patients with CFDs are also at risk of thrombotic events. The impact of the causative mutation on the structure and the fibrinogen level is one of the determinants of the thrombotic profile. Given the major role of fibrinogen in pregnancy, women with CFDs are particularly at risk of obstetrical adverse outcomes. The study of the fibrin clot properties can help to define the impact of fibrinogen disorders on the fibrin network. The development of next generation sequencing now allows the identification of genetic modifiers able to influence the global hemostasis balance in CFDs. Their integration in the assessment of the patient risk on an individual scale is an important step toward precision medicine in patients with such a heterogeneous clinical course.
Fetal Ganglioneuroblastoma: A Rare Entity with Antenatal Diagnosis and Postnatal Follow Up
Authors: Varshney Alok , Kapoor Aakriti , Kaur Shina , Kapoor Tushar , Kapoor Aakaar , Kapoor Apurva , Kapoor Ravi 
Published: August 2024

AbstractFetal abdominal masses can be challenging to counsel due to uncertain diagnosis and outcomes. We report a case of a midline upper retroperitoneal mass found incidentally during a routine third trimester ultrasound. Despite not being a suprarenal mass, ultrasound and magnetic resonance imaging indicated neuroblastoma prenatally. With the generally favorable prognosis for prenatally diagnosed neuroblastomas, expectant counseling was given. Postnatal imaging and biopsy confirmed ganglioneuroblastoma, a rare subtype. A conservative approach was taken, and after initial growth, the mass spontaneously regressed 5 months after birth, nearly resolving by 8 months.
Prevalence of the Absence of the Palmaris Longus and Functional Flexor Digitorum Superficialis of the Little Finger in the Indian Population
Authors: Rajendiran Subashini , Rajappa Srinivasan , Jaichandran Sandhiya , Bhat Anil , Thatte Mukund 
Published: August 2024

Abstract
Background The absence of the palmaris longus (PL) varies with race. The presence of a functional flexor digitorum superficialis (FDS) of the little finger also varies widely. The aim of this study is to determine the prevalence of the absence of the PL and functional FDS of the little finger in the Indian population.
Materials and Methods This is a prospective observational study conducted as a part of the Indian normative data project of the Indian Society for Surgery of the Hand. The presence of the PL was assessed by Schaeffer's test. The function of the FDS was assessed by the standard test and modified test and its function designated as absent, present independently, or present combinedly with the ring finger FDS.
Results A total of 200 volunteers including 84 males and 116 females in the 21- to 60-year age group were examined. Of the 400 hands examined, the PL was absent in 26 upper limbs (6.5%). The PL was absent unilaterally in 12 individuals (6%) and bilaterally in 7 individuals (3.5%). Of the 400 little fingers examined, FDS function was absent in 72 fingers (18%), while 67 fingers (16.75%) had a common function and 261 fingers (65.25%) had an independent function. Only 2% had a bilateral absence of both the PL and functional FDS tendons and 5% had a unilateral absence of both tendons.
Conclusion The PL and FDS of the little finger were more absent in the right side than in the left side, but the difference was not statistically significant. There was no significant association between the absence of the PL and the absence of the functional FDS of the little finger.
Social Enterprise Under Moral Hazard: Who Gets State Subsidies and Active Financing?
Authors: Lovas Anita , Berlinger Edina , Tóth Fanni 
Published: August 2024

Abstract
We develop a double-sided moral hazard model of social entrepreneurship and derive the optimal state subsidy. Then, we analyze the data of an EU-funded training and mentoring program aiming at preparing social entrepreneurs for private financing. Using content analysis techniques, we investigate the 203 applications for the program, the reviewers’ evaluation, and the selection decision. Social enterprises produce private and public benefits, use market and non-market resources, and involve a wide range of stakeholders with different incentives. We examine why different projects can get active financing (financing plus advisory), or only passive financing (financing without advisory), or no financing at all. We identify five relevant selection criteria such as entrepreneurial net present value, entrepreneurial agency cost, advisory net present value, advisory agency cost, and the external effects of the project. Empirical findings are consistent with the theoretical model. Applicants with higher scores in business plan, social impact, and geographical scope were significantly more likely to be selected, especially if their activities required no domain-specific knowledge from the advisors. However, higher agency costs, reflected in too many business lines and early-stage operations, seem to reduce the chances significantly. We formulate a moral hazard model for social entrepreneurship with four simultaneously optimizing players: an entrepreneur, an investor, an advisor, and the state. With the help of our unique database, we get valuable insights into the financing decisions of a profit-seeking investor. Our findings can contribute to the improvement of the design of state-subsidized social entrepreneurship programs.
Versatile stochastic model for predictive KMC simulation of fcc metal nanostructure evolution with realistic kinetics
Authors: Han Yong , Evans James W. 
Published: August 2024

Stochastic lattice-gas models provide the natural framework for analysis of the surface diffusion-mediated evolution of crystalline metal nanostructures on the appropriate time scale (often 101–104 s) and length scale. Model behavior can be precisely assessed by kinetic Monte Carlo simulation, typically incorporating a rejection-free algorithm to efficiently handle the broad range of Arrhenius rates for hopping of surface atoms. The model should realistically prescribe these rates, or the associated barriers, for a diversity of local surface environments. However, commonly used generic choices for barriers fail, even qualitatively, to simultaneously describe diffusion for different low-index facets, for terrace vs step edge diffusion, etc. We introduce an alternative Unconventional Interaction–Conventional Interaction formalism to prescribe these barriers, which, even with few parameters, can realistically capture most aspects of behavior. The model is illustrated for single-component fcc metal systems, mainly for the case of Ag. It is quite versatile and can be applied to describe both the post-deposition evolution of 2D nanostructures in homoepitaxial thin films (e.g., reshaping and coalescence of 2D islands) and the post-synthesis evolution of 3D nanocrystals (e.g., reshaping of nanocrystals synthesized with various faceted non-equilibrium shapes back to 3D equilibrium Wulff shapes).
Bubble image segmentation and dynamic feature extraction in gas–liquid two-phase transient flow
Authors: Jiang Dan , Zeng Chen , Chen Wei , Guo Qing , Yan Xin 
Published: August 2024

Understanding the dynamics of bubble growth and collapse during gas–liquid two-phase transient flow is crucial for minimizing pipeline wear and maintaining the normal operation of the pipeline system. This paper focuses on obtaining the bubble trajectory, movement velocity, and volume change of gas bubbles. The bubble images during the transient flow are first denoised and enhanced, then the moving target detection algorithm and watershed segmentation algorithm are used to segment the bubbles, and the contour reconstruction of the bubbles is performed using fitting to extract the relevant parameters. The movement trajectories of the bubbles are then traced by analyzing the trajectories and velocities of growth and collapse of the first bubbles during the transient flow, specifically when the flow rate of the hydraulic pipeline is 0.75 m/s. Finally, the changes in gas content during the transient flow in the pipeline under different initial flow rates are compared between the algorithm proposed here and the simulation results.
Finite Temperature Magnetism in the Triangular Lattice Antiferromagnet KErTe2
Authors: Liu 刘 Weiwei 维维 , Zhang 张 Zheng 政 , Yan 闫 Dayu 大禹 , Li 李 Jianshu 建树 , Zhang 张 Zhitao 志涛 , Ji 籍 Jianting 建葶 , Jin 金 Feng 峰 , Shi 石 Youguo 友国 , Zhang 张 Qingming 清明 
Published: August 2024

Abstract
After the discovery of the ARECh2 (A = alkali or monovalent ions, RE = rare-earth, Ch = chalcogen) triangular lattice quantum spin liquid (QSL) family, a series of its oxide, sulfide, and selenide counterparts has been consistently reported and extensively investigated. While KErTe2 represents the initial synthesized telluride member, preserving its triangular spin lattice, it was anticipated that the substantial tellurium ions could impart more pronounced magnetic attributes and electronic structures to this material class. This study delves into the magnetism of KErTe2 at finite temperatures through magnetization and electron spin resonance (ESR) measurements. Based on the angular momentum

J
^

after spin-orbit coupling (SOC) and symmetry analysis, we obtain the magnetic effective Hamiltonian to describe the magnetism of Er3+ in

R

3
¯

m

space group. Applying the mean-field approximation to the Hamiltonian, we can simulate the magnetization and magnetic heat capacity of KErTe2 in paramagnetic state and determine the crystalline electric field (CEF) parameters and partial exchange interactions. The relatively narrow energy gaps between the CEF ground state and excited states exert a significant influence on the magnetism. For example, small CEF excitations can result in a significant broadening of the ESR linewidth at 2 K. For the fitted exchange interactions, although the values are small, given a large angular momentum J = 15/2 after SOC, they still have a noticeable effect at finite temperatures. Notably, the heat capacity data under different magnetic fields along the c axis direction also roughly match our calculated results, further validating the reliability of our analytical approach. These derived parameters serve as crucial tools for future investigations into the ground state magnetism of KErTe2. The findings presented herein lay a foundation for exploration of the intricate magnetism within the triangular-lattice delafossite family.
Demonstration of machine learning-assisted low-latency noise regression in gravitational wave detectors
Authors: Saleem Muhammed , Gunny Alec , Chou Chia-Jui , Yang Li-Cheng , Yeh Shu-Wei , Chen Andy H Y , Magee Ryan , Benoit William , Nguyen Tri , Fan Pinchen , Chatterjee Deep , Marx Ethan , Moreno Eric , Omer Rafia , Raikman Ryan , Rankin Dylan , Sharma Ritwik , Coughlin Michael , Harris Philip , Katsavounidis Erik 
Published: August 2024

Abstract
Low-latency noise regression algorithms are crucial for maximizing the science outcomes of the LIGO, Virgo, and KAGRA gravitational-wave detectors. This includes improvements in the detectability, source localization and pre-merger detectability of signals thereby enabling rapid multi-messenger follow-up. In this paper, we demonstrate the effectiveness of DeepClean, a convolutional neural network architecture that uses witness sensors to estimate and subtract non-linear and non-stationary noise from gravitational-wave strain data. Our study uses LIGO data from the third observing run with injected compact binary signals. As a demonstration, we use DeepClean to subtract the noise at 60 Hz due to the power mains and their sidebands arising from non-linear coupling with other instrumental noise sources. Our parameter estimation study on the injected signals shows that DeepClean does not do any harm to the underlying astrophysical signals in the data while it can enhance the signal-to-noise ratio of potential signals. We show that DeepClean can be used for low-latency noise regression to produce cleaned output data at latencies ~1–2 s. We also discuss various considerations that may be made while training DeepClean for low latency applications.
Inverse source problem for discrete Helmholtz equation
Authors: Novikov Roman , Lal Sharma Basant 
Published: August 2024

Abstract
We consider multi-frequency inverse source problem for the discrete Helmholtz operator on the square lattice

Z

d

,

d
⩾
1

. We consider this problem for the cases with and without phase information. We prove uniqueness results and present examples of non-uniqueness for this problem for the case of compactly supported source function, and a Lipshitz stability estimate for the phased case is established. Relations with inverse scattering problem for the discrete Schrödinger operators in the Born approximation are also provided.
Quantum annealer accelerates the variational quantum eigensolver in a triple-hybrid algorithm
Authors: Jattana Manpreet Singh 
Published: August 2024

Abstract
Hybrid algorithms that combine quantum and classical resources have become commonplace in quantum computing. The variational quantum eigensolver (VQE) is routinely used to solve prototype problems. Currently, hybrid algorithms use no more than one kind of quantum computer connected to a classical computer. In this work, a novel triple-hybrid algorithm combines the effective use of a classical computer, a gate-based quantum computer, and a quantum annealer. The solution of a graph coloring problem found using a quantum annealer reduces the resources needed from a gate-based quantum computer to accelerate VQE by allowing simultaneous measurements within commuting groups of Pauli operators. We experimentally validate our algorithm by evaluating the ground state energy of H2 using different IBM Q devices and the DWave Advantage system requiring only half the resources of standard VQE. Other larger problems we consider exhibit even more significant VQE acceleration. Several examples of algorithms are provided to further motivate a new field of multi-hybrid algorithms that leverage different kinds of quantum computers to gain performance improvements.
Numerical investigation of non-uniform arrays of directive antennas for radiation pattern analysis using spatial modulation schemes
Authors: Chellali Slimani , Khalida Ghanem , Farid Ghanem , Dhasarathan Vigneswaran , Hamza Zeraoula 
Published: August 2024

Abstract
This research presents a novel Non-Uniform Array (NUA) design for Spatial Modulation (SM) systems, aiming to improve Bit Error Rate (BER) performance. The NUA utilizes directional antennas with low-similarity radiation patterns, enabling the receiver to effectively distinguish between signals transmitted from different antenna elements. This enhanced signal discrimination capability directly contributes to improved system capacity and potential spectral efficiency gains for massive MIMO systems employing SM techniques. The proposed NUA was optimized for operation at 5.2 GHz, achieving a high degree of pattern distinguishability. Measured results confirm the effectiveness of the design, demonstrating good agreement with simulations. Moreover, an analysis based on the similarity of the radiation pattern was conducted
Surface-sensitive electronic structure of kagome superconductor CsV3Sb5
Authors: Zhao 赵 Zhisheng 志生 , Yao 姚 Jianghao 江浩 , Xu 徐 Rui 瑞 , Wang 王 Yuzhe 禹喆 , Liao 廖 Sen 森 , Liu 刘 Zhengtai 正太 , Shen 沈 Dawei 大伟 , Cui 崔 Shengtao 胜涛 , Sun 孙 Zhe 喆 , Wang 王 Yilin 义林 , Feng 封 Donglai 东来 , Jiang 姜 Juan 娟 
Published: August 2024

Abstract
We systematically study the electronic structure of a kagome superconductor CsV3Sb5 at different temperatures covering both its charge density wave state and normal state with angle-resolved photoemission spectroscopy. We observe that the V-shaped band around

Γ
¯

shows three different behaviors, referred to as α/α′, β and γ, mainly at different temperatures. Detailed investigations confirm that these bands are all from the same bulk Sb-p
z
origin, but they are quite sensitive to the sample surface conditions mainly modulated by temperature. Thus, the intriguing temperature dependent electronic behavior of the band near

Γ
¯

is affected by the sample surface condition, rather than intrinsic electronic behavior originating from the phase transition. Our result systematically reveals the confusing electronic structure behavior of the energy bands around

Γ
¯

, facilitating further exploration of the novel properties in this material.
W boson mass in NP models with an extra U(1) gauge group*
Authors: Yang 杨 Jin-Lei 金磊 , Ge 葛 Zhao-Feng 兆丰 , Yang 杨 Xiu-Yi 秀一 , Cui 崔 Sheng-Kai 生恺 , Feng 冯 Tai-Fu 太傅 
Published: August 2024

Abstract
The precise measurement of the W boson mass is closely related to the contributions of new physics (NP), which can significantly constrain the parameter space of NP models, particularly those with an additional

local gauge group. The inclusion of a new Z' gauge boson and gauge couplings in these models can contribute to the oblique parameters S, T, and U and the W boson mass at tree level. Considering the effects of kinetic mixing, in this study, we calculate and analyze the oblique parameters S, T, and U and the W boson mass in such NP models. We find that the kinetic mixing effects can make significant contributions to the W boson mass, and these contributions can be eliminated by redefining the gauge boson fields by removing neutral currents with charged leptons if the leptonic Yukawa couplings are invariant under the extra

local gauge group, even with nonzero kinetic mixing effects.
Stochastic scheduling of distribution power networks counting advanced adiabatic compressed air energy storage
Authors: Zhong Geyu , Jiang Pengyu , Xie Ningning , Liu Hanchen , Chang Yong , Mei Shengwei , Lin Zhihua , Chen Laijun 
Published: August 2024

Abstract
Advanced adiabatic compressed air energy storage (AA-CAES) has the advantages of environmental protection, low cost, and high efficiency, which is the mainstream development trend of compressed air energy storage (CAES). The feasibility and economy of distribution network scheduling strategies are affected by the volatility of new energy output and the different operation modes of AA-CAES. This study employs a stochastic planning method to model the uncertain outputs of new energy sources and incorporates the AA-CAES system into the stochastic scheduling model. The objective is to explore the impact of different operating modes of AA-CAES on the scheduling outcomes. The analysis demonstrates that operating the expansion side of AA-CAES under a fixed-pressure mode enhances the economic efficiency of the distribution network compared to a variable-pressure mode. Additionally, the fixed pressure mode offers superior regulation and output capabilities.