bluuebunny/crossref_metadata_2025_split huggingface dataset:
Poly(ADP-Ribose) Polymerase Inhibitor Combination Therapy
Authors: Miller Rowan E. 
Published: December 2021

Abstract
The introduction of poly(ADP-ribose) polymerase (PARP) inhibitors has led to significant improvements in outcome for several cancer types, most notably high-grade serous ovarian cancer. However, in general, benefit is restricted to tumors characterized by either BRCA1/2 mutation or homologous recombination deficiency. Combination therapy offers the potential to overcome innate and acquired PARP inhibitor resistance by either working synergistically with PARP inhibitors or by targeting the homologous recombination repair pathway through an alternate strategy, to restore homologous recombination deficiency. Several biological agents have been studied in combination with PARP inhibitors, including inhibitors of vascular endothelial growth factor (vascular endothelial growth factor; bevacizumab, cediranib), AKT (capivasertib), PI3K inhibitors (buparlisib, alpelisib), epidermal growth factor receptor and BET inhibitors. In general, PARP inhibitor and biological agent combinations are well tolerated, and early data suggest that they are clinically effective in both BRCA1/2 mutant and wild-type cancers. In this review, we discuss multiple clinical trials that are underway examining the antitumor activity of the most promising combination strategies.
National Trends in Length of Stay for Microvascular Breast Reconstruction: An Evaluation of 10,465 Cases Using the American College of Surgeons National Surgical Quality Improvement Program Database
Authors: Holoyda Kathleen A. , Magno-Padron David A. , Carter Gentry C. , Agarwal Jay P. , Kwok Alvin C. 
Published: December 2021

Background:
Decreasing length of stay benefits patients and hospital systems alike. This should be accomplished safely without negatively impacting patient outcomes. The authors hypothesize that in the United States, the average length of stay for patients undergoing microsurgical breast reconstruction has decreased since 2012 without a concurrent increase in complication and readmission rates.

Methods:
The authors identified female patients who underwent microvascular breast reconstruction (CPT 19364) from the 2012 to 2018 National Surgical Quality Improvement Program database. Trends in complication and readmission rates and length of stay were examined over 7 years. Multivariable logistic regression models and Mann-Kendall trend tests were used to evaluate associations between length of stay and complication and readmission rates.

Results:
A total of 10,465 cases were identified. The number of autologous microvascular breast reconstruction procedures performed increased annually between 2012 and 2018. Length of stay decreased significantly from 2012 to 2018 (from 4.47 days to 3.90 days) (p < 0.01). Minor and major complication rates remained constant, although major complications showed a decreasing trend (from 27 percent to 21 percent) (p = 0.07). Thirty-day readmission, surgical-site infection, and wound dehiscence rates remained consistent over the study period, whereas rates of blood transfusion or bleeding decreased (p = 0.02).

Conclusions:
Using a national sample from 2012 to 2018, the authors observed a significant decrease in length of stay for patients undergoing microvascular breast reconstruction without a concurrent increase in complication and readmission rates. Current efforts to reduce length of stay have been successful without increasing complication or readmission rates.

CLINICAL QUESTION/LEVEL OF EVIDENCE:
Risk, III.
“A-PePSI LIGhT” Assessment Score to Predict Pressure Sore Impaired Healing Late Recurrence, Immobility, Greater Surface, Inhibited Thrombocytes
Authors: Anker Alexandra M. , Ruewe Marc , Prantl Lukas , Geis Sebastian , Kehrer Andreas , Baringer Magnus , Schiltz Daniel , Zeman Florian , Vykoukal Jody , Klein Silvan M. 
Published: December 2021

Background:
Complication rates of up to 46 percent are reported following pressure sore surgery. Pressure sore patients often exhibit ineffective postoperative wound healing despite tension-free flap coverage, necessitating surgical revision and prolonged hospitalization. Rather than pressure sore recurrence, such impaired healing reflects a failed progress through the physiologic stages of the normal wound-healing cascade. The principal objective of the study reported here was to elucidate potentially modifiable inherent variables that predict predisposition to impaired healing and to provide a tool for identifying cases at risk for complicated early postoperative recovery following pressure sore reconstruction.

Methods:
A retrospective chart review of late-stage (stage 3 or higher) sacral and ischial pressure sore patients who underwent flap reconstruction from 2014 to 2019 was performed. A multivariable logistic regression model was used to identify key patient and operative factors predictive of impaired healing. Furthermore, the Assessment Score to Predict Pressure Sore Impaired Healing (A-PePSI) was established based on the identified risk factors.

Results:
In a cohort of 121 patients, 36 percent exhibited impaired healing. Of these, 34 patients suffered from dehiscences, necessitating surgical revision. Statistically significant risk factors comprising late recurrence (OR, 3.8), immobility (OR, 12.4), greater surface (>5 cm diameter; OR, 7.3), and inhibited thrombocytes (aspirin monotherapy; OR, 5.7) were combined to formulate a prognostic scoring system (A-PePSI LIGhT).

Conclusions:
The A-PePSI LIGhT score serves as a prognostic instrument for assessing individual risk for impaired healing in pressure sore patients. Preoperative risk stratification supports rational decision-making regarding operative candidacy, allows evidence-based patient counseling, and supports the implementation of individualized treatment protocols.

CLINICAL QUESTION/LEVEL OF EVIDENCE:
Risk, III.
Efficiency fosters cumulative culture across species
Authors: Gruber T. , Chimento M. , Aplin L. M. , Biro D. 
Published: December 2021

Recent studies in several taxa have demonstrated that animal culture can evolve to become more efficient in various contexts ranging from tool use to route learning and migration. Under recent definitions, such increases in efficiency might satisfy the core criteria of cumulative cultural evolution (CCE). However, there is not yet a satisfying consensus on the precise definition of efficiency, CCE or the link between efficiency and more complex, extended forms of CCE considered uniquely human. To bring clarity to this wider discussion of CCE, we develop the concept of efficiency by (i) reviewing recent potential evidence for CCE in animals, and (ii) clarifying a useful definition of efficiency by synthesizing perspectives found within the literature, including animal studies and the wider iterated learning literature. Finally, (iii) we discuss what factors might impinge on the informational bottleneck of social transmission, and argue that this provides pressure for learnable behaviours across species. We conclude that framing CCE in terms of efficiency casts complexity in a new light, as learnable behaviours are a requirement for the evolution of complexity. Understanding how efficiency greases the ratchet of cumulative culture provides a better appreciation of how similar cultural evolution can be between taxonomically diverse species—a case for continuity across the animal kingdom.This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.
Social learning in swarm robotics
Authors: Bredeche Nicolas , Fontbonne Nicolas 
Published: December 2021

In this paper, we present an implementation of social learning for swarm robotics. We consider social learning as a distributed online reinforcement learning method applied to a collective of robots where sensing, acting and coordination are performed on a local basis. While some issues are specific to artificial systems, such as the general objective of learning efficient (and ideally, optimal) behavioural strategies to fulfill a task defined by a supervisor, some other issues are shared with social learning in natural systems. We discuss some of these issues, paving the way towards cumulative cultural evolution in robot swarms, which could enable complex social organization necessary to achieve challenging robotic tasks.This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.
The experimental emergence of convention in a non-human primate
Authors: Formaux Anthony , Paleressompoulle Dany , Fagot Joël , Claidière Nicolas 
Published: December 2021

Conventions form an essential part of human social and cultural behaviour and may also be important to other animal societies. Yet, despite the wealth of evidence that has accumulated for culture in non-human animals, we know surprisingly little about non-human conventions beyond a few rare examples. We follow the literature in behavioural ecology and evolution and define conventions as systematic behaviours that solve a coordination problem in which two or more individuals need to display complementary behaviour to obtain a mutually beneficial outcome. We start by discussing the literature on conventions in non-human primates from this perspective and conclude that all the ingredients for conventions to emerge are present and therefore that they ought to be more frequently observed. We then probe the emergence of conventions by using a unique novel experimental system in which pairs of Guinea baboons (Papio papio) can voluntarily participate together in touchscreen-based cognitive testing and we show that conventions readily emerge in our experimental set-up and that they share three fundamental properties of human conventions (arbitrariness, stability and efficiency). These results question the idea that observational learning, and imitation in particular, is necessary to establish conventions; they suggest that positive reinforcement is enough.This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.
Reconstructing social networks of Late Glacial and Holocene hunter–gatherers to understand cultural evolution
Authors: Romano Valéria , Lozano Sergi , Fernández-López de Pablo Javier 
Published: December 2021

Culture is increasingly being framed as a driver of human phenotypes and behaviour. Yet very little is known about variations in the patterns of past social interactions between humans in cultural evolution. The archaeological record, combined with modern evolutionary and analytical approaches, provides a unique opportunity to investigate broad-scale patterns of cultural change. Prompted by evidence that a population's social connectivity influences cultural variability, in this article, we revisit traditional approaches used to infer cultural evolutionary processes from the archaeological data. We then propose that frameworks considering multi-scalar interactions (from individuals to populations) over time and space have the potential to advance knowledge in cultural evolutionary theory. We describe how social network analysis can be applied to analyse diachronic structural changes and test cultural transmission hypotheses using the archaeological record (here specifically from the Marine Isotope Stage 3ca57–29 ka onwards). We argue that the reconstruction of prehistoric networks offers a timely opportunity to test the interplay between social connectivity and culture and ultimately helps to disentangle evolutionary mechanisms in the archaeological record.This article is part of a discussion meeting issue ‘The emergence of collective knowledge and cumulative culture in animals, humans and machines’.
Incidence of COVID-19 reinfection: an analysis of outpatient-based data in the United States of America
Authors: Azam Mahalul , Pribadi Feddy Setio , Rahadian Arief , Saefurrohim Muhammad Zakki , Dharmawan Yudhy , Fibriana Arulita Ika , Lestarini Ima Arum , Aljunid Syed Mohamed 
Published: December 2021

AbstractObjectivesCOVID-19 reinfection cases are evidence of antibody waning in recovered individuals. Previous studies had reported cases of COVID-19 reinfection both in hospital-based and community-based data. However, limited studies reported COVID-19 reinfection in large community-based data. The present study aimed to provide the incidence of COVID-19 reinfection based on secondary data in the U.S.Study designCross-sectional studyMethodsA cross-sectional study was conducted using secondary data provided by COVID-19 Research Database, i.e., Healthjump. Reinfection were defined as diagnosed COVID-19 (U07.1= confirmed virus identified) twice with ≥90 days interval between diagnosis. Age, gender, and region data were also explored. A Chi-square test continued by a binary logistic regression was conducted to determine the association between parameters. Data collecting and processing were done in the Amazon workspace.ResultsThe study revealed 3,778 reinfection cases of 116,932 COVID-19 infected cases (3.23%). Reinfection cases were more common in females (3.35%) than males (3.23%). Elderly subjects were the highest incidence (5.13%), followed by adult (4.14%), young adults (2.35%), and children (1.09%). Proportion in the region of living northeast was the highest (3.68%), compared to the south (3.49%), west (2.59%), and midwest (2.48%).ConclusionThe incidence of COVID-19 reinfection was 3.23%, suggesting our concern with COVID-19 management and future research to understand COVID-19 reinfection better. The incident is more likely to occur in female and elderly patients.
Evaluation of transplacental transfer of mRNA vaccine products and functional antibodies during pregnancy and early infancy
Authors: Prahl Mary , Golan Yarden , Cassidy Arianna G. , Matsui Yusuke , Li Lin , Alvarenga Bonny , Chen Hao , Jigmeddagva Unurzul , Lin Christine Y. , Gonzalez Veronica J. , Chidboy Megan A. , Warrier Lakshmi , Buarpung Sirirak , Murtha Amy P. , Flaherman Valerie J. , Greene Warner C. , Wu Alan H.B. , Lynch Kara L. , Rajan Jayant , Gaw Stephanie L. 
Published: December 2021

AbstractStudies are needed to evaluate the safety and effectiveness of mRNA SARS-CoV-2 vaccination during pregnancy, and the levels of protection provided to their newborns through placental transfer of antibodies. We evaluated the transplacental transfer of mRNA vaccine products and functional anti-SARS-CoV-2 antibodies during pregnancy and early infancy in a cohort of 20 individuals vaccinated during pregnancy. We found no evidence of mRNA vaccine products in maternal blood, placenta tissue, or cord blood at delivery. However, we found time-dependent efficient transfer of IgG and neutralizing antibodies to the neonate that persisted during early infancy. Additionally, using phage immunoprecipitation sequencing, we found a vaccine-specific signature of SARS-CoV-2 Spike protein epitope binding that is transplacentally transferred during pregnancy. In conclusion, products of mRNA vaccines are not transferred to the fetus during pregnancy, however timing of vaccination during pregnancy is critical to ensure transplacental transfer of protective antibodies during early infancy.
Theta and gamma hippocampal–neocortical oscillations during the episodic-like memory test: impairment in epileptogenic rats
Authors: Malkov Anton , Shevkova Ludmila , Latyshkova Aleksandra , Kitchigina Valentina 
Published: December 2021

AbstractCortical oscillations in different frequency bands have been shown to be intimately involved in exploration of environment and cognition. Here, the local field potentials in the hippocampus, the medial prefrontal cortex (mPFC), and the medial entorhinal cortex (mEC) were recorded simultaneously in rats during the execution of the episodic-like memory task. The power of hippocampal theta (~4-10 Hz), slow gamma (~25-50 Hz), and fast gamma oscillations (~55-100 Hz) was analyzed in all structures examined. Particular attention was paid to the theta coherence between three mentioned structures. The modulation of the power of gamma rhythms by the phase of theta cycle during the execution of the episodic-like memory test by rats was also closely studied. Healthy rats and rats one month after kainate-induced status epilepticus (SE) were examined. Paroxysmal activity in the hippocampus (high amplitude interictal spikes), excessive excitability of animals, and the death of hippocampal and dentate granular cells in rats with kainate-evoked SE were observed, which indicated the development of seizure focus in the hippocampus (epileptogenesis). One month after SE, the rats exhibited a specific impairment of episodic memory for the what-where-when triad: unlike healthy rats, epileptogenic SE animals did not identify the objects during the test. This impairment was associated with the changes in the characteristics of theta and gamma rhythms and specific violation of theta coherence and theta/gamma coupling in these structures in comparison with the healthy animals. We believe that these disturbances in the cortical areas play a role in episodic memory dysfunction in kainate-treated animals. These findings can shed light on the mechanisms of cognitive deficit during epileptogenesis.
Characterization of the significant decline in humoral immune response six months post-SARS-CoV-2 mRNA vaccination: A systematic review
Authors: Notarte Kin Israel , Guerrero-Arguero Israel , Velasco Jacqueline Veronica , Ver Abbygail Therese , de Oliveira Maria Helena Santos , Catahay Jesus Alfonso , Khan Md. Siddiqur Rahman , Pastrana Adriel , Juszczyk Grzegorz , Torrelles Jordi B. , Lippi Giuseppe , Martinez-Sobrido Luis , Henry Brandon Michael 
Published: December 2021

AbstractAccumulating evidence shows a progressive decline in the efficacy of coronavirus disease 2019 (COVID-19) mRNA vaccines such as Pfizer-BioNTech (mRNA BNT161b2) and Moderna (mRNA-1273) in preventing breakthrough infections due to diminishing humoral immunity over time. Thus, this review characterizes the kinetics of anti-SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) antibodies after the second dose of a primary cycle of COVID-19 mRNA vaccination. A systematic search of literature was performed and a total of 18 studies (N=15,980) were identified and reviewed. The percent difference of means of reported antibody titers were then calculated to determine the decline in humoral response after the peak levels post-vaccination. Findings revealed that the peak humoral response was reached at 21-28 days after the second dose, after which serum levels progressively diminished at 4-6 months post-vaccination. Additionally, results showed that regardless of age, sex, serostatus and presence of comorbidities, longitudinal data reporting antibody measurement exhibited a decline of both anti-receptor binding domain (RBD) IgG and anti-spike IgG, ranging from 94-95% at 90-180 days and 55-85% at 140-160 days, respectively, after the peak antibody response. This suggests that the rate of antibody decline may be independent of patient-related factors and peak antibody titers but mainly a function of time and antibody class/molecular target. Hence, this study highlights the necessity of more efficient vaccination strategies to provide booster administration in attenuating the effects of waning immunity, especially in the appearance of new variants of concerns (VoCs).
A single latent channel is sufficient for biomedical image segmentation
Authors: Kist Andreas M. , Schützenberger Anne , Dürr Stephan , Semmler Marion 
Published: December 2021

AbstractGlottis segmentation is a crucial step to quantify endoscopic footage in laryngeal high-speed videoendoscopy. Recent advances in using deep neural networks for glottis segmentation allow a fully automatic workflow. However, exact knowledge of integral parts of these segmentation deep neural networks remains unknown. Here, we show using systematic ablations that a single latent channel as bottleneck layer is sufficient for glottal area segmentation. We further show that the latent space is an abstraction of the glottal area segmentation relying on three spatially defined pixel subtypes. We provide evidence that the latent space is highly correlated with the glottal area waveform, can be encoded with four bits, and decoded using lean decoders while maintaining a high reconstruction accuracy. Our findings suggest that glottis segmentation is a task that can be highly optimized to gain very efficient and clinical applicable deep neural networks. In future, we believe that online deep learning-assisted monitoring is a game changer in laryngeal examinations.
Test-retest reproducibility of in vivo magnetization transfer ratio and saturation index in mice at 9.4 Tesla
Authors: Rahman Naila , Ramnarine Jordan , Xu Kathy , Brown Arthur , Baron Corey A. 
Published: December 2021

AbstractBackgroundMagnetization transfer saturation (MTsat) imaging was developed to reduce T1 dependence and improve specificity to myelin compared to the widely used MT ratio (MTR), while maintaining a feasible scan time. Knowledge of MTsat reproducibility is necessary to apply MTsat in preclinical neuroimaging.PurposeTo assess the test-retest reproducibility of MTR and MTsat in the mouse brain at 9.4 T and calculate sample sizes required to detect various effect sizes.Study TypeProspectiveAnimal ModelC57Bl/6 Mouse Model (6 females and 6 males, aged 12 – 14 weeks)Field Strength/SequenceMagnetization Transfer Imaging at 9.4 TAssessmentAll mice were scanned at two timepoints (5 days apart). MTR and MTsat maps were analyzed using mean region-of-interest (ROI), and whole brain voxel-wise analysis.Statistical TestsBland-Altman plots assessed biases between test and retest measurements. Test-retest reproducibility was evaluated via between and within-subject coefficients of variation (CV). Sample sizes required were calculated (at a 95 % significance level and power of 80 %), given various minimum detectable effect sizes, using both between and within-subject approaches.ResultsBland-Altman plots showed negligible biases between test and retest sessions. ROI-based and voxel-wise CVs revealed high reproducibility for both MTR (ROI: CVs < 8 %) and MTsat (ROI: CVs < 10 %). With a sample size of 6, changes on the order of 15% can be detected in MTR and MTsat, both between and within subjects, while smaller changes (6 – 8 %) require sample sizes of 10 – 15 for MTR, and 15 – 20 for MTsat.Data ConclusionMTsat exhibits comparable reproducibility to MTR, while providing sensitivity to myelin with less T1 dependence than MTR. Our findings suggest both MTR and MTsat can detect moderate changes, common in pathologies, with feasible preclinical sample sizes.