bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors affecting retention in the Philippine National Rural Physician Deployment Program from 2012 to 2019: a mixed methods study
Authors: Flores Erika Louise L. , Manahan Edric Matthew R. , Lacanilao Miguel Paulo B. , Ladaw Isabella Ma. Beatriz T. , Mallillin Mico Martin B. , Mappatao Nikolai Thadeus Q. , Leonardia Juan Alfonso , Pepito Veincent Christian F. 
Published: November 2021

Abstract
Background
To address the maldistribution of healthcare providers and the shortage of physicians in geographically isolated and disadvantaged areas of the Philippines, the Philippine National Rural Physician Deployment Program, or more commonly known as the Doctors to the Barrios (DTTB) program was established in 1993. However, as of 2011, only 18% of the DTTBs chose to stay in their assigned municipalities after their two-year deployment, termed retention. This study aims to identify the individual, local, work, national, and international factors affecting the retention of DTTBs in their assigned communities after their two-year deployment.

Methods
A descriptive, mixed-methods, explanatory design was used. For the quantitative part, the modified and updated Stayers Questionnaire was given to all current DTTBs present in a Continuing Medical Education session in the Development Academy of the Philippines. Descriptive statistics were then presented. For the qualitative part, individual, semi-structured key informant interviews were conducted in-person or via phone with current and alumni DTTBs from 2012 to 2019. Proceedings of the interviews were transcribed, translated, and analyzed thematically.

Results
102 current DTTBs participated in the quantitative part of our study, while 10 current and former DTTBs participated in the interviews. Demographic factors and location, personal beliefs, well-being, friends and family dynamics, and perceptions about work were the individual factors identified to affect retention. Social working conditions, career development, and infrastructure, medical equipment, and supplies were among the work factors identified to affect retention. Geography, living conditions, local social needs, and technology were among the local factors identified to affect retention. Compensation, the recently signed Universal Healthcare Law, and Safety and Security were identified as national factors that could affect retention. International factors did not seem to discourage DTTBs from staying in their communities.

Conclusions
A host of individual, work-related, local, national, and international factors influence the DTTB’s decision to be retained in different, complex, interconnected, and dynamic ways. We also identified implementation issues in the DTTB program and suggested interventions to encourage retention.
Bayesian modelling of population trends in alcohol consumption provides empirically based country estimates for South Africa
Authors: Cois Annibale , Matzopoulos Richard , Pillay-van Wyk Victoria , Bradshaw Debbie 
Published: November 2021

Abstract
Background
Alcohol use has widespread effects on health and contributes to over 200 detrimental conditions. Although the pattern of heavy episodic drinking independently increases the risk for injuries and transmission of some infectious diseases, long-term average consumption is the fundamental predictor of risk for most conditions. Population surveys, which are the main source of data on alcohol exposure, suffer from bias and uncertainty. This article proposes a novel triangulation method to reduce bias by rescaling consumption estimates by sex and age to match country-level consumption from administrative data.

Methods
We used data from 17 population surveys to estimate age- and sex-specific trends in alcohol consumption in the adult population of South Africa between 1998 and 2016. Independently for each survey, we calculated sex- and age-specific estimates of the prevalence of drinkers and the distribution of individuals across consumption categories. We used these aggregated results, together with data on alcohol production, sales and import/export, as inputs of a Bayesian model and generated yearly estimates of the prevalence of drinkers in the population and the parameters that characterise the distribution of the average consumption among drinkers.

Results
Among males, the prevalence of drinkers decreased between 1998 and 2009, from 56.2% (95% CI 53.7%; 58.7%) to 50.6% (49.3%; 52.0%), and increased afterwards to 53.9% (51.5%; 56.2%) in 2016. The average consumption from 52.1 g/day (49.1; 55.6) in 1998 to 42.8 g/day (40.0; 45.7) in 2016. Among females the prevalence of current drinkers rose from 19.0% (17.2%; 20.8%) in 1998 to 20.0% (18.3%; 21.7%) in 2016 while average consumption decreased from 32.7 g/day (30.2; 35.0) to 26.4 g/day (23.8; 28.9).

Conclusions
The methodology provides a viable alternative to current approaches to reconcile survey estimates of individual alcohol consumption patterns with aggregate administrative data. It provides sex- and age-specific estimates of prevalence of drinkers and distribution of average daily consumption among drinkers in populations. Reliance on locally sourced data instead of global and regional trend estimates better reflects local nuances and is adaptable to the inclusion of additional data. This provides a powerful tool to monitor consumption, develop burden of disease estimates and inform and evaluate public health interventions.
Chromosomal integration of Tn5253 occurs downstream of a conserved 11-bp sequence of the rbgA gene in Streptococcus pneumoniae and in all the other known hosts of this integrative conjugative element (ICE)
Authors: Santoro Francesco , Fox Valeria , Romeo Alessandra , Lazzeri Elisa , Pozzi Gianni , Iannelli Francesco 
Published: November 2021

Abstract
Background
Tn5253, a composite Integrative Conjugative Element (ICE) of Streptococcus pneumoniae carrying tet(M) and cat resistance determinants, was found to (i) integrate at specific 83-bp integration site (attB), (ii) produce circular forms joined by a 84-bp sequence (attTn), and (iii) restore the chromosomal integration site. The purpose of this study is to functionally characterize the attB in S. pneumoniae strains with different genetic backgrounds and in other bacterial species, and to investigate the presence of Tn5253 attB site into bacterial genomes.

Results
Analysis of representative Tn5253-carryng transconjugants obtained in S. pneumoniae strains with different genetic backgrounds and in other bacterial species, namely Streptococcus agalactiae, Streptococcus gordonii, Streptococcus pyogenes, and Enterococcus faecalis showed that: (i) Tn5253 integrates in rbgA of S. pneumoniae and in orthologous rbgA genes of other bacterial species, (ii) integration occurs always downstream of a 11-bp sequence conserved among streptococcal and enterococcal hosts, (iii) length of the attB site corresponds to length of the duplication after Tn5253 integration, (iv) attB duplication restores rbgA CDS, (v) Tn5253 produced circular forms containing the attTn site at a concentration ranging between 2.0 × 10−5 to 1.2 × 10−2 copies per chromosome depending on bacterial species and strain, (vi) reconstitution of attB sites occurred at 3.7 × 10−5 to 1.7 × 10−2 copies per chromosome. A database search of complete microbial genomes using Tn5253 attB as a probe showed that (i) thirteen attB variants were present in the 85 complete pneumococcal genomes, (ii) in 75 pneumococcal genomes (88.3 %), the attB site was 83 or 84 nucleotides in length, while in 10 (11.7 %) it was 41 nucleotides, (iii) in other 19 bacterial species attB was located in orthologous rbgA genes and its size ranged between 17 and 84 nucleotides, (iv) the 11-bp sequence, which correspond to the last 11 nucleotides of attB sites, is conserved among the different bacterial species and can be considered the core of the Tn5253 integration site.

Conclusions
A functional characterization of the Tn5253 attB integration site combined with genome analysis contributed to elucidating the potential of Tn5253 horizontal gene transfer among different bacterial species.
Evaluation method of node importance in temporal satellite networks based on time slot correlation
Authors: Xu Rui , Di Xiaoqiang , He Xiongwen , Qi Hui 
Published: November 2021

AbstractTemporal satellite networks can accurately describe the dynamic process of satellite networks by considering the interaction relationship and interaction sequence between satellite nodes. In addition, the measurement of node importance in satellite networks plays a crucial role in understanding the structure and function of the network. The classical supra-adjacency matrix (SAM) temporal model identifies the key nodes in the temporal network to some extent, which ignores the differences of inter-layer connectivity relationships leading to the inability to reflect the dynamic variations of satellite nodes. Therefore, the evaluation method based on time slot correlation is proposed to measure the importance of satellite nodes in this paper. Firstly, the correlation coefficient of time slot nodes is defined to measure the coupling relationship of adjacent time slots. Secondly, the dynamic supra-adjacency matrix (DSAM) temporal network model is proposed considering the correlation between adjacent time slots and the characteristics of link time. Finally, the node importance ranking results in each time slot and a global perspective are obtained by utilizing the eigenvector centrality. Experimental simulations of the Iridium and Orbcomm constellations demonstrate that the DSAM method has a relatively accurate recognition rate and high stability.
On iterative techniques for estimating all roots of nonlinear equation and its system with application in differential equation
Authors: Shams Mudassir , Rafiq Naila , Kausar Nasreen , Agarwal Praveen , Park Choonkil , Mir Nazir Ahmad 
Published: November 2021

AbstractIn this article, we construct a family of iterative methods for finding a single root of nonlinear equation and then generalize this family of iterative methods for determining all roots of nonlinear equations simultaneously. Further we extend this family of root estimating methods for solving a system of nonlinear equations. Convergence analysis shows that the order of convergence is 3 in case of the single root finding method as well as for the system of nonlinear equations and is 5 for simultaneous determination of all distinct and multiple roots of a nonlinear equation. The computational cost, basin of attraction, efficiency, log of residual and numerical test examples show that the newly constructed methods are more efficient as compared to the existing methods in literature.
Designing for circular fashion: integrating upcycling into conventional garment manufacturing processes
Authors: Aus Reet , Moora Harri , Vihma Markus , Unt Reimo , Kiisa Marko , Kapur Sneha 
Published: November 2021

AbstractThis paper summarises the results of a more than 5-year practice-led study on the use of upcycling design and production methods in garment mass production. The efficiency of upcycling design approach is described by analysing the generation and potential use of various types of fabric leftovers from garment manufacturing. The results of this research show that depending on the size of the factory the fabric leftovers and textile waste generated in garment production ranges from 25–40% of the total fabric used. Experiments show that 50% of that material can be upcycled into new garments and for some types of leftover—mainly spreading loss and excess fabric—it can even be up to 80%. Implementing upcycling on the industrial level requires transparency to understand the waste created in garment production and create designs that suite the production system. It is important to consider that the upcycling design process differs from regular design—a garment is designed based on the parameters of the waste materials.
Short-term vegetation responses to the first prescribed burn in an urban pine rockland preserve
Authors: Harris Brittany , Freidenreich Ariel , Betancourt Eric , Jayachandran Krishnaswarmy 
Published: November 2021

Abstract
Background
Preserving fire-dependent ecosystems can mitigate biodiversity loss from urbanization, but prescribing fire is challenging near human habitation. Consequently, dereliction of fire-dependent forests is widespread in urban fragments. Natural disturbance-based management, like prescribing fire, is gaining global acceptance, yet it is unclear what affects prolonged exclusion have on the initial regeneration of isolated plant communities immediately after fire is reintroduced. We took advantage of the first prescribed low-intensity burn on a university pine rockland nature preserve in South Florida, USA, to gain insight. We measured the changes in plant community composition and vegetation cover 1 week before the prescribed burn, and again 1, 2, and 14 weeks after to assess the early and short-term stages of recovery.

Results
The fire consumed substantial leaf litter, surface fuels, and canopy leaves, increasing sunlight availability to the understory and exposing bare ground. Many woody plants perished within a week post-burn, particularly invasive shrubs; however, germinating and resprouting plant growth were rapid. By 14 weeks, vegetation covered more of the ground than before the burn, although the upper canopy remained relatively open. Rarefied species richness was recovered by 14 weeks but did not exceed pre-burn levels. Invasive species richness was also maintained post-burn. Despite no overall changes in the community structure, our correspondence analysis and analysis of similarity of the plant community suggest high species turnover from the pre-burn to the final community surveyed, with an intermediate turnover in between.

Conclusion
The endangered pine rockland ecosystem, like many fire-dependent ecosystems, is threatened by habitat loss and fire suppression. Managing urban preserves with periodic burns is essential for supporting habitat for endemic species while decreasing demands for manual and time-intensive maintenance. Our study demonstrates that seedling recruitment from early plantings of native species can contribute significantly and immediately to restoration efforts in a fire-excluded urban preserve; however, many changes were ephemeral. Supplemental burns are likely necessary to further reduce vegetation density and sustain changes to the community composition.
Prediction of the existence of an intermediate phase in the antiferromagnetic J1-J2system on the face-centered cubic lattice
Authors: Jurčišinová E. , Jurčišin M. E. 
Published: November 2021

Abstract
The structure o f the phase diagram of the antiferromagnetic

Ising model with the presence of the nearest-neighbor and next-nearest-neighbor interactions on the face-centered cubic lattice is investigated in detail in the framework of the recursive lattice approximation. The existence of an additional well-defined intermediate phase is predicted that separates two standard antiferromagnetic phases of the model. This new phase is realized in the form of a narrow strip in the phase diagram but can be observed for a rather large interval of the frustration parameter of the model. Moreover, analyzing the sublattice magnetization properties of the model, it is shown that transitions between all model phases have the second-order nature. All predicted series of successive phase transitions of the model caused by the presence of the intermediate phase are studied.
Characterization and staging of outer plexiform layer development in human retina and retinal organoids
Authors: Prameela Bharathan Sumitha , Ferrario Angela , Stepanian Kayla , Fernandez G. Esteban , Reid Mark W. , Kim Justin S. , Hutchens Chloe , Harutyunyan Narine , Marks Carolyn , Thornton Matthew E. , Grubbs Brendan H. , Cobrinik David , Aparicio Jennifer G. , Nagiel Aaron 
Published: November 2021

ABSTRACT
The development of the first synapse of the visual system between photoreceptors and bipolar cells in the outer plexiform layer (OPL) of the human retina is crucial for visual processing but poorly understood. By studying the maturation state and spatial organization of photoreceptors, depolarizing bipolar cells and horizontal cells in the human fetal retina, we establish a pseudo-temporal staging system for OPL development that we term OPL-Stages 0 to 4. This was validated through quantification of increasingly precise subcellular localization of bassoon to the OPL with each stage (P&lt;0.0001). By applying these OPL staging criteria to human retinal organoids (HROs) derived from human embryonic and induced pluripotent stem cells, we observed comparable maturation from OPL-Stage 0 at day 100 in culture up to OPL-Stage 3 by day 160. Quantification of presynaptic protein localization confirmed progression from OPL-Stage 0 to 3 (P&lt;0.0001). Overall, this study defines stages of human OPL development through mid-gestation and establishes HROs as a model system that recapitulates key aspects of human photoreceptor-bipolar cell synaptogenesis in vitro.
It takes all kinds: heterogeneity among satellite cells and fibro-adipogenic progenitors during skeletal muscle regeneration
Authors: Collins Brittany C. , Kardon Gabrielle 
Published: November 2021

ABSTRACT
Vertebrate skeletal muscle is composed of multinucleate myofibers that are surrounded by muscle connective tissue. Following injury, muscle is able to robustly regenerate because of tissue-resident muscle stem cells, called satellite cells. In addition, efficient and complete regeneration depends on other cells resident in muscle – including fibro-adipogenic progenitors (FAPs). Increasing evidence from single-cell analyses and genetic and transplantation experiments suggests that satellite cells and FAPs are heterogeneous cell populations. Here, we review our current understanding of the heterogeneity of satellite cells, their myogenic derivatives and FAPs in terms of gene expression, anatomical location, age and timing during the regenerative process – each of which have potentially important functional consequences.
Bayesian Sequential Learning for Clinical Trials of Multiple Correlated Medical Interventions
Authors: Chick Stephen E. , Gans Noah , Yapar Özge 
Published: November 2021

We propose and analyze the first model for clinical trial design that integrates each of three important trends intending to improve the effectiveness of clinical trials that inform health-technology adoption decisions: adaptive design, which dynamically adjusts the sample size and allocation of interventions to different patients; multiarm trial design, which compares multiple interventions simultaneously; and value-based design, which focuses on cost-benefit improvements of health interventions over a current standard of care. Example applications are to seamless phase II/III dose-finding trials and to trials that test multiple combinations of therapies. Our objective is to maximize the expected population health-economic benefit of health-technology adoption decisions less clinical trial costs. We show that unifying the adaptive, multiarm, and value-based approaches to trial design can reduce the cost and duration of multiarm trials with efficient adaptive look ahead policies that focus on value to patients and account for correlated rewards across arms. Features that differentiate our approach from much other work on stochastic optimization include stopping times that balance sampling costs and the expected value of information of those samples, performance guarantees offered by new asymptotic convergence proofs, and the modeling of arms’ potentially different sampling costs. Our proposed solution can be computed feasibly and can randomize patients. The class of trials for the base model assumes that health-economic data are collected and observed quickly. Related work from Bayesian optimization can enable the further inclusion of trials with intermediate duration delays between the time of treatment initiation and observation of outcomes.This paper was accepted by Stefan Scholtes, healthcare management.
Convex Optimization for Bundle Size Pricing Problem
Authors: Li Xiaobo , Sun Hailong , Teo Chung Piaw 
Published: November 2021

We study the bundle size pricing (BSP) problem in which a monopolist sells bundles of products to customers and the price of each bundle depends only on the size (number of items) of the bundle. Although this pricing mechanism is attractive in practice, finding optimal bundle prices is difficult because it involves characterizing distributions of the maximum partial sums of order statistics. In this paper, we propose to solve the BSP problem under a discrete choice model using only the first and second moments of customer valuations. Correlations between valuations of bundles are captured by the covariance matrix. We show that the BSP problem under this model is convex and can be efficiently solved using off-the-shelf solvers. Our approach is flexible in optimizing prices for any given bundle size. Numerical results show that it performs very well compared with state-of-the-art heuristics. This provides a unified and efficient approach to solve the BSP problem under various distributions and dimensions. This paper was accepted by David Simchi-Levi, revenue management and market analytics.
Ultrabroadband polarization filter based on gold-coated PCF with high birefringence
Authors: Tan Chenxi , Dong Zexin , He Xiaoying , Rao Lan , Xin Xiangjun , Sun Liping , Li Xinguo 
Published: November 2021

Ultrabroadband polarization filter based on gold-coated photonic crystal fiber with high birefringence is proposed and analyzed by using the finite-element method. An elliptical central air hole is designed for high birefringence and shifting the wavelength of the loss peak. The gold layers are selectively coated on the inner surface of two elliptical air holes to support the surface plasmon resonance, which contributes to the filtering characteristics. By optimizing the structural parameters, a high extinction ra2tio is obtained of about 290.56 dB at a communication wavelength of 1310 nm when the length of

L
=

400

µ

m

, and its bandwidth is

∼

530

n
m

. In addition, the birefringence can reach near 0.004 at 1310 nm.
Multiple Fano resonance refractive index sensor based on a plasmonic metal-insulator-metal based Taiji resonator
Authors: Fan Huibo , Fan Hongwei , Fan Huili 
Published: November 2021

We propose and numerically analyze a multiple Fano resonance device with high quality (

Q

) factor and high modulation depth based on a metal-insulator-metal (MIM) waveguide laterally coupled Taiji resonator in the near-infrared regime. A silver-air-silver groove (SASG) is embedded in the MIM waveguide. The so-called Taiji resonator is an S-shaped additional crossover branch embedded in a ring cavity to selectively couple counterpropagating cavity modes, therefore increasing the propagating modes relative to the traditional ring cavity. Up to septuple Fano peaks rise from the interference between narrow discrete modes generated from the Taiji resonator and broad continuum modes stemming from the SASG, which can be easily tuned by adjusting the different geometric parameters of the proposed structure. The maximal

Q

-factor is about 317 with a modulation depth of 24.1 dB in transmission. Thanks to a narrow resonance linewidth with strong subwavelength light confinement of multiple Fano resonances, an optical refractive index sensor with a sensitivity of 2016 nm/RIU and figure of merit of 345 is demonstrated. Furthermore, the sensor can be used for sensing biological parameters such as glucose solution concentration with maximal sensitivity of 0.245 nm · L/g. This simple proposed structure may provide a further step for the development of Fano resonance applications in nanosensing, lasing, and nonlinear optics.