bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nipple Sparing Mastectomy Technique to Reduce Ischemic Complications: Preserving Important Blood Flow Based on Breast MRI
Authors: Karin Mardi R. , Pal Sunita , Ikeda Debra , Silverstein Max , Momeni Arash 
Published: October 2022

AbstractBackgroundNipple‐sparing mastectomy (NSM) with immediate breast reconstruction is commonly performed. However, nipple areolar complex (NAC) and mastectomy skin necrosis represent significant complications requiring reoperation and revision. Breast MRI, often obtained for oncologic assessment, can visualize the dominant breast and NAC vascular supply. This study describes the surgical technique utilizing breast MRI blood flow information to preserve important NAC blood supply, thereby, reducing ischemic complications.MethodsAfter IRB approval, a prospectively maintained database of all NSM by a single breast surgeon from 2018 to 2020 formed the study group. Preoperative contrast enhanced Breast MRI analysis determined the dominant NAC blood supply. Intraoperatively, the dominant Internal Mammary Artery Perforator (IMP) to the NAC was preserved (IMP‐NSM). The IMP‐NSM surgical technique preserving the IMP blood flow, evaluation of breast MRI blood flow patterns, surgical findings, and ischemic complications were analyzed.Results114 NSM were performed in 74 patients (mean age: 49 years [range, 22–73 years], BMI 25.8 kg/m2 [range, 19–41 kg/m2]). Breast MRI identified the dominant IMP to the NAC in 92%. IMP preservation was successful in 89% (101/114). Necrosis requiring NAC removal occurred in 0.9% (1/114), and skin necrosis reoperation in 1.8% (2/114). Including all post‐operative necrosis occurred in 10.5% (12/114), statistically significantly lower compared to the literature for NSM assessing MRI blood flow data without surgical IMP preservation (necrosis 24.4%, p < 0.001) (Bahl et al. in J Am Coll Surg 223(2):279–285, 2016) utilizing Doppler for IMP preservation (necrosis 37%, p < 0.001) (Swistel et al. in Plast Reconstr Surg Glob Open 2(8):e198, 2014) and dividing the IMP in all (necrosis 31.4%, p < 0.001) (Ahn et al. in Eur J Surg Oncol 44(8):1170–1176, 2018).ConclusionsThe IMP‐NSM surgical technique preserves the dominant blood supply to the NAC, thereby, decreasing ischemic complications.
A Kemeny Distance-Based Robust Fuzzy Clustering for Preference Data
Authors: D’Urso Pierpaolo , Vitale Vincenzina 
Published: October 2022

AbstractWe propose two robust fuzzy clustering techniques in the context of preference rankings to group judges into homogeneous clusters even in the case of contamination due to outliers or, more generally, noisy data. The two fuzzy C-Medoids clustering methods, based on the same suitable exponential transformation of the Kemeny distance, belong to two different approaches and differ in the way they introduce the fuzziness in the membership matrix, the one based on the “m” exponent and the other on the Shannon entropy. As far as the Kemeny distance is concerned, it is equivalent to the Kendall distance in the case of complete rankings but differs from the latter in the way of handling tied rankings. Simulations prove that our methods are able to recover the natural structure of the groups neutralizing the effect of possible noises and outliers. Two applications to real datasets are also provided.
Malaria vector bionomics and transmission in irrigated and non-irrigated sites in western Kenya
Authors: Ondeto Benyl M. , Wang Xiaoming , Atieli Harrysone , Orondo Pauline Winnie , Ochwedo Kevin O. , Omondi Collince J. , Otambo Wilfred O. , Zhong Daibin , Zhou Guofa , Lee Ming-Chieh , Muriu Simon M. , Odongo David O. , Ochanda Horace , Kazura James , Githeko Andrew K. , Yan Guiyun 
Published: October 2022

Abstract
Irrigation not only helps to improve food security but also creates numerous water bodies for mosquito production. This study assessed the effect of irrigation on malaria vector bionomics and transmission in a semi-arid site with ongoing malaria vector control program. The effectiveness of CDC light traps in the surveillance of malaria vectors was also evaluated relative to the human landing catches (HLCs) method. Adult mosquitoes were sampled in two study sites representing irrigated and non-irrigated agroecosystems in western Kenya using a variety of trapping methods. The mosquito samples were identified to species and assayed for host blood meal source and Plasmodium spp. sporozoite infection using polymerase chain reaction. Anopheles arabiensis was the dominant malaria vector in the two study sites and occurred in significantly higher densities in irrigated study site compared to the non-irrigated study site. The difference in indoor resting density of An. arabiensis during the dry and wet seasons was not significant. Other species, including An. funestus, An. coustani, and An. pharoensis, were collected. The An. funestus indoor resting density was 0.23 in irrigated study site while almost none of this species was collected in the non-irrigated study site. The human blood index (HBI) for An. arabiensis in the irrigated study site was 3.44% and significantly higher than 0.00% for the non-irrigated study site. In the irrigated study site, the HBI of An. arabiensis was 3.90% and 5.20% indoor and outdoor, respectively. The HBI of An. funestus was 49.43% and significantly higher compared to 3.44% for An. arabiensis in the irrigated study site. The annual entomologic inoculation rate for An. arabiensis in the irrigated study site was 0.41 and 0.30 infective bites/person/year indoor and outdoor, respectively, whereas no transmission was observed in the non-irrigated study site. The CDC light trap performed consistently with HLC in terms of vector density. These findings demonstrate that irrigated agriculture may increase the risk of malaria transmission in irrigated areas compared to the non-irrigated areas and highlight the need to complement the existing malaria vector interventions with novel tools targeting the larvae and both indoor and outdoor biting vector populations.
Graphical abstract
The role of inner nuclear membrane proteins in tumourigenesis and as potential targets for cancer therapy
Authors: Rose Maddison , Burgess Joshua T. , O’Byrne Kenneth , Richard Derek J. , Bolderson Emma 
Published: October 2022

AbstractDespite significant advances in our understanding of tumourigenesis and cancer therapeutics, cancer continues to account for 30% of worldwide deaths. Therefore, there remains an unmet need for the development of cancer therapies to improve patient quality of life and survival outcomes. The inner nuclear membrane has an essential role in cell division, cell signalling, transcription, cell cycle progression, chromosome tethering, cell migration and mitosis. Furthermore, expression of several inner nuclear membrane proteins has been shown to be frequently altered in tumour cells, resulting in the dysregulation of cellular pathways to promote tumourigenesis. However, to date, minimal research has been conducted to investigate how targeting these dysregulated and variably expressed proteins may provide a novel avenue for cancer therapies. In this review, we present an overview of the involvement of the inner nuclear membrane proteins within the hallmarks of cancer and how they may be exploited as potent anti-cancer therapeutics.
Triangulations of polygons and stacked simplicial complexes: separating their Stanley–Reisner ideals
Authors: Fløystad Gunnar , Orlich Milo 
Published: October 2022

AbstractA triangulation of a polygon has an associated Stanley–Reisner ideal. We obtain a full algebraic and combinatorial understanding of these ideals and describe their separated models. More generally, we do this for stacked simplicial complexes, in particular for stacked polytopes.
A Review of Consensus-based Multi-agent UAV Implementations
Authors: Lizzio Fausto Francesco , Capello Elisa , Guglieri Giorgio 
Published: October 2022

AbstractIn this paper, a survey on distributed control applications for multi Unmanned Aerial Vehicles (UAVs) systems is proposed. The focus is on consensus-based control, and both rotary-wing and fixed-wing UAVs are considered. On one side, the latest experimental configurations for the implementation of formation flight are analysed and compared for multirotor UAVs. On the other hand, the control frameworks taking into account the mobility of the fixed-wing UAVs performing target tracking are considered. This approach can be helpful to assess and compare the solutions for practical applications of consensus in UAV swarms.
Shaken Dynamics: An Easy Way to Parallel Markov Chain Monte Carlo
Authors: Apollonio Valentina , D’Autilia Roberto , Scoppola Benedetto , Scoppola Elisabetta , Troiani Alessio 
Published: October 2022

AbstractWe define a class of Markovian parallel dynamics for spin systems on arbitrary graphs with nearest neighbor interaction described by a Hamiltonian function $$H(\sigma )$$

H
(
σ
)

. These dynamics turn out to be reversible and their stationary measure is explicitly determined. Convergence to equilibrium and relation of the stationary measure to the usual Gibbs measure are discussed when the dynamics is defined on $$\mathbb {Z}^2$$

Z

2

. Further it is shown how these dynamics can be used to define natively parallel algorithms to face problems in the context of combinatorial optimization.
Cardiomyocyte-specific overexpression of syndecan-4 in mice results in activation of calcineurin-NFAT signalling and exacerbated cardiac hypertrophy
Authors: Lunde Ida G. , Aronsen J. Magnus , Melleby A. Olav , Strand Mari E. , Skogestad Jonas , Bendiksen Bård A. , Ahmed M. Shakil , Sjaastad Ivar , Attramadal Håvard , Carlson Cathrine R. , Christensen Geir 
Published: October 2022

Abstract
Background

Cardiomyocyte hypertrophy is a hallmark of cardiac dysfunction in patients with aortic stenosis (AS), and can be triggered by left ventricular (LV) pressure overload in mice by aortic banding (AB). Syndecan-4 is a transmembrane heparan sulphate proteoglycan which is found increased in the myocardium of AS patients and AB mice. The role of syndecan-4 in cardiomyocyte hypertrophy is not well understood.

Purpose of the study
We developed mice with cardiomyocyte-specific overexpression of syndecan-4 (Sdc4-Tg) and subjected these to AB to examine the role of syndecan-4 in hypertrophy and activation of the pro-hypertrophic calcineurin-NFAT signalling pathway.

Methods and results
Sdc4-Tg mice showed exacerbated cardiac remodelling upon AB compared to wild type (WT). At 2–6 weeks post-AB, Sdc4-Tg and WT mice showed similar hypertrophic growth, while at 20 weeks post-AB, exacerbated hypertrophy and dysfunction were evident in Sdc4-Tg mice. After cross-breeding of Sdc4-Tg mice with NFAT-luciferase reporter mice, we found increased NFAT activation in Sdc4-Tg hearts after AB. Immunoprecipitation showed that calcineurin bound to syndecan-4 in Sdc4-Tg hearts. Isolated cardiomyocytes from Sdc4-Tg mice showed alterations in Ca2+ fluxes, suggesting that syndecan-4 regulated Ca2+ levels, and thereby, activating the syndecan-4-calcineurin complex resulting in NFAT activation and hypertrophic growth. Similarly, primary cardiomyocyte cultures from neonatal rats showed increased calcineurin-NFAT-dependent hypertrophic growth upon viral Sdc4 overexpression.

Conclusion
Our study of mice with cardiomyocyte-specific overexpression of Sdc4 have revealed that syndecan-4 is important for activation of the Ca2+-dependent calcineurin-NFAT signalling pathway, hypertrophic remodelling and dysfunction in cardiomyocytes in response to pressure overload.
Recent progress in atomistic modeling of light-harvesting complexes: a mini review
Authors: Maity Sayan , Kleinekathöfer Ulrich 
Published: October 2022

AbstractIn this mini review, we focus on recent advances in the atomistic modeling of biological light-harvesting (LH) complexes. Because of their size and sophisticated electronic structures, multiscale methods are required to investigate the dynamical and spectroscopic properties of such complexes. The excitation energies, in this context also known as site energies, excitonic couplings, and spectral densities are key quantities which usually need to be extracted to be able to determine the exciton dynamics and spectroscopic properties. The recently developed multiscale approach based on the numerically efficient density functional tight-binding framework followed by excited state calculations has been shown to be superior to the scheme based on pure classical molecular dynamics simulations. The enhanced approach, which improves the description of the internal vibrational dynamics of the pigment molecules, yields spectral densities in good agreement with the experimental counterparts for various bacterial and plant LH systems. Here, we provide a brief overview of those results and described the theoretical foundation of the multiscale protocol.
The Long-Term Evolution of the Atmosphere of Venus: Processes and Feedback Mechanisms
Authors: Gillmann Cedric , Way M. J. , Avice Guillaume , Breuer Doris , Golabek Gregor J. , Höning Dennis , Krissansen-Totton Joshua , Lammer Helmut , O’Rourke Joseph G. , Persson Moa , Plesa Ana-Catalina , Salvador Arnaud , Scherf Manuel , Zolotov Mikhail Y. 
Published: October 2022

AbstractThis work reviews the long-term evolution of the atmosphere of Venus, and modulation of its composition by interior/exterior cycling. The formation and evolution of Venus’s atmosphere, leading to contemporary surface conditions, remain hotly debated topics, and involve questions that tie into many disciplines. We explore these various inter-related mechanisms which shaped the evolution of the atmosphere, starting with the volatile sources and sinks. Going from the deep interior to the top of the atmosphere, we describe volcanic outgassing, surface-atmosphere interactions, and atmosphere escape. Furthermore, we address more complex aspects of the history of Venus, including the role of Late Accretion impacts, how magnetic field generation is tied into long-term evolution, and the implications of geochemical and geodynamical feedback cycles for atmospheric evolution. We highlight plausible end-member evolutionary pathways that Venus could have followed, from accretion to its present-day state, based on modeling and observations. In a first scenario, the planet was desiccated by atmospheric escape during the magma ocean phase. In a second scenario, Venus could have harbored surface liquid water for long periods of time, until its temperate climate was destabilized and it entered a runaway greenhouse phase. In a third scenario, Venus’s inefficient outgassing could have kept water inside the planet, where hydrogen was trapped in the core and the mantle was oxidized. We discuss existing evidence and future observations/missions required to refine our understanding of the planet’s history and of the complex feedback cycles between the interior, surface, and atmosphere that have been operating in the past, present or future of Venus.
Numerical and Experimental Stability Investigation of a Parametrically Excited Cantilever Beam at Combination Parametric Resonance
Authors: Ghannad Tehrani G. , Gastaldi C. , Berruti T. M. 
Published: October 2022

Abstract
Background
The presence of parametric excitation in dynamic structures, caused by friction, crack, varying compliance, electromagnetic field, etc. may generate unbounded responses. In the literature there exist several numerical analyses of systems affected by parametric excitation, while experimental studies are less frequent.

Objective
The goal of the paper is to create a demonstrator of a parametrically excited system, whose stability can be modified through a controlled physical parameter. This work also investigates the applicability of the recently developed stability analysis method named Jacobian Based Approach (JBA).

Methods
This paper studies a simple experimental set-up comprising of a cantilever beam mounted on a spring with time – varying stiffness, achieved through the use of an electromagnet. The test rig allows measuring directly the magnetic force without any preknowledge of the values of electrical parameters. Results obtained from the test rig are compared with numerical results obtained from the Finite Element model. In this study, Hill’s method and JBA are employed to obtain the stability plot highlighting the regions of parametric instabilities.

Results
Good agreement is found between experimental and numerical data and the presence of unstable behavior is verified through the use of the well – known Hill’s method and the JBA. Furthermore, this study demonstrates that the stability plot, highlighting the unstable regions, computed by JBA is in complete agreement with the one obtained by Hill’s method.

Conclusions
It is shown how the parametric instability can be triggered through the regulation of a simple physical parameter, i.e. the gap between the electromagnet and the beam. The numerical model analyzed by the ad – hoc technique proposed by the authors i.e. JBA has been proven to have predictive capabilities in studying a system under parametric excitation and could be a potential substitution for state-of-the-art stability analysis techniques such Hill’s method.
Life satisfaction and mental health from age 17 to 21 years in a general population sample
Authors: Marquez Jose , Katsantonis Ioannis , Sellers Ruth , Knies Gundi 
Published: October 2022

AbstractAdolescence is a period when both mental health (MH) and wellbeing start deteriorating, which raises the question of how the two phenomena are linked and whether deterioration in one might be used to flag problematic developments in the other. While research shows that wellbeing and MH are associated, the direction of the association is not clear and longitudinal analyses, that might help disentangle the cause and effect, are scarce. Moreover, few studies have investigated the directional relation between MH and wellbeing early in the life course. In emerging adulthood, evidence indicates reciprocal associations and no gender differences, whereas, in early and middle adolescence, results are mixed and differ across gender. Thus, we investigated the relationship between MH and wellbeing and the moderating effect of gender in the crucial developmental transition from middle adolescence to emerging adulthood. We undertake a cross-lagged longitudinal data analysis from a pooled sample of six pseudo-cohorts, including information from 661 young people who participated in the UK Household Longitudinal Study at ages 17, 19, and 21. Using a 7-points overall life satisfaction (LS) scale as an index of wellbeing and the 12-item General Health Questionnaire as a measure of MH, we found no associations between LS and MH in the 17–19 transition and bidirectional associations in the 19–21 transition. There were no substantial gender differences in either transition. We conclude that LS and MH predict each other in the transition from late adolescence (age 19) to emerging adulthood (age 21) for both males and females.
A swarm optimizer with attention-based particle sampling and learning for large scale optimization
Authors: Sheng Mengmeng , Wang Zidong , Liu Weibo , Wang Xi , Chen Shengyong , Liu Xiaohui 
Published: October 2022

AbstractAttention mechanism, which is a cognitive process of selectively concentrating on certain information while ignoring others, has been successfully employed in deep learning. In this paper, we introduce the attention mechanism into a particle swarm optimizer and propose an attention-based particle swarm optimizer (APSO) for large scale optimization. In the proposed method, the attention mechanism is introduced such that activating different particles to participate in evolution at different stages of evolution. Further, an attention-based particle learning is devised to randomly select three particles from a predominant sub-swarm, which is activated by the attention mechanism, to guide the learning of particles. The cooperation of these two strategies could be employed to achieve a balanced evolution search, thus appropriately searching the space of large-scale optimization problems. Extensive experiments have been carried out on CEC’2010 and CEC’2013 large scale optimization benchmark functions to evaluate the performance of proposed method and to compare with related methods. The results show the superiority of proposed method.
Positive influence of neuromuscular training on knee injury risk factors during cutting and landing tasks in elite youth female handball players
Authors: Schmidt Marcus , Nolte Kevin , Terschluse Benedikt , Willwacher Steffen , Jaitner Thomas 
Published: October 2022

AbstractAnterior cruciate ligament (ACL) ruptures are frequent in the age group of 15–19 years, particularly for female athletes. Although injury-prevention programs effectively reduce severe knee injuries, little is known about the underlying mechanisms and changes of biomechanical risk factors. Thus, this study analyzes the effects of a neuromuscular injury-prevention program on biomechanical parameters associated with ACL injuries in elite youth female handball players. In a nonrandomized, controlled intervention study, 19 players allocated to control (n = 12) and intervention (n = 7) group were investigated for single- and double-leg landings as well as unanticipated side-cutting maneuvers before and after a 12-week study period. The lower-extremity motion of the athletes was captured using a three-dimensional motion capture system consisting of 12 infrared cameras. A lower-body marker set of 40 markers together with a rigid body model, including a forefoot, rearfoot, shank, thigh, and pelvis segment in combination with two force plates was used to determine knee joint angles, resultant external joint moments, and vertical ground reaction forces. The two groups did not differ significantly during pretesting. Only the intervention group showed significant improvements in the initial knee abduction angle during single leg landing (p = 0.038: d = 0.518), knee flexion moment during double-leg landings (p = 0.011; d = −1.086), knee abduction moment during single (p = 0.036; d = 0.585) and double-leg landing (p = 0.006; d = 0.944) and side-cutting (p = 0.015;d = 0.561) as well as vertical ground reaction force during double-leg landing (p = 0.004; d = 1.482). Control group demonstrated no significant changes in kinematics and kinetics. However, at postintervention both groups were not significantly different in any of the biomechanical outcomes except for the normalized knee flexion moment of the dominant leg during single-leg landing. This study provides first indications that the implementation of a training intervention with specific neuromuscular exercises has positive impacts on biomechanical risk factors associated with ACL injury risk and, therefore, may help prevent severe knee injuries in elite youth female handball players.