bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hybrid Seed Production Technology
Authors: Chakrabarty Shyamal K. , Basu Sudipta , Schipprach W. 
Published: February 2023

AbstractHybrid technology, harnessing the advantage of heterosis between two diverse genotypes to achieve maximum hybrid vigour, is widely recognized and commercially used for crop variety improvement both in field and vegetable crops. Hybrids can be developed using appropriate technology, irrespective of the mating and pollination system in the plant species. Production of hybrid seed depends on plant, pollinator and environmental factors, which influence it individually or in interactive ways. Hence, an understanding of these components is important to undertake hybrid seed production of a given crop species. The basic requirements for hybrid seed production at a commercial scale are (a) a unisexual flower or a bisexual flower with sterile pollen in anther or self-incompatible flower/plant; or pistillateness; or large conspicuous bisexual flowers for easy emasculation of flowers in plants to be used as the female parent and (b) abundant pollen production, dispersal and its easy transfer from the male parent to the female parent for satisfactory seed setting. These are dependent on floral biology, flower features, mode of pollination and reproduction of the crop species. Agronomic crop management with scientific insights is equally important for successful hybrid seed production. These are discussed in this chapter with appropriate examples.
Expedited surrogate-based quantification of engineering tolerances using a modified polynomial regression
Authors: Parnianifard Amir , Chaudhary Sushank , Mumtaz Shahid , Wuttisittikulkij Lunchakorn , Imran Muhammad Ali 
Published: February 2023

AbstractStatistical analysis is frequently used to determine how manufacturing tolerances or operating condition uncertainties affect system performance. Surrogate is one of the accelerating ways in engineering tolerance quantification to analyze uncertainty with an acceptable computational burden rather than costly traditional methods such as Monte Carlo simulation. Compared with more complicated surrogates such as the Gaussian process, or Radial Basis Function (RBF), the Polynomial Regression (PR) provides simpler formulations yet acceptable outcomes. However, PR with the common least-squares method needs to be more accurate and flexible for approximating nonlinear and nonconvex models. In this study, a new approach is proposed to enhance the accuracy and approximation power of PR in dealing with uncertainty quantification in engineering tolerances. For this purpose, first, by computing the differences between training sample points and a reference point (e.g., nominal design), we employ certain linear and exponential basis functions to transform an original variable design into new transformed variables. A second adjustment is made to calculate the bias between the true simulation model and the surrogate’s approximated response. To demonstrate the effectiveness of the proposed PR approach, we provide comparison results between conventional and proposed surrogates employing four practical problems with geometric fabrication tolerances such as three-bar truss design, welded beam design, and trajectory planning of two-link and three-link (two and three degrees of freedom) robot manipulator. The obtained results prove the preference of the proposed approach over conventional PR by improving the approximation accuracy of the model with significantly lower prediction errors.
Estimation and bootstrap for stochastically monotone Markov processes
Authors: Neumann Michael H. 
Published: February 2023

AbstractThe Markov property is shared by several popular models for time series such as autoregressive or integer-valued autoregressive processes as well as integer-valued ARCH processes. A natural assumption which is fulfilled by corresponding parametric versions of these models is that the random variable at time t gets stochastically greater conditioned on the past, as the value of the random variable at time $$t-1$$

t
-
1

increases. Then the associated family of conditional distribution functions has a certain monotonicity property which allows us to employ a nonparametric antitonic estimator. This estimator does not involve any tuning parameter which controls the degree of smoothing and is therefore easy to apply. Nevertheless, it is shown that it attains a rate of convergence which is known to be optimal in similar cases. This estimator forms the basis for a new method of bootstrapping Markov chains which inherits the properties of simplicity and consistency from the underlying estimator of the conditional distribution function.
Experimentally simulating the beam shaping capabilities of piston-type deformable mirrors using a liquid crystal spatial light modulator
Authors: Scholes Stirling , Mohapi Lehloa , Leach Jonathan , Forbes Andrew , Dudley Angela 
Published: February 2023

AbstractThe number of mirror segments, mirror geometry and orientation are essential parameters when assessing the beam-shaping capabilities of deformable mirrors. Here, we use a Liquid Crystal on Silicon Spatial Light Modulator (LCoS-SLM) to mimic the mechanical design of a deformable mirror and quantitatively analyse the effect of the number of mirror segments and their geometrical structure on resulting structured modes. Our approach can be used as a test bed prior to designing a deformable mirror for high power beam shaping.
Sodium as a subsidy in the spring: evidence for a phenology of sodium limitation
Authors: Clay Natalie A. , Herrmann Maggie C. , Evans-White Michelle A. , Entrekin Sally A. , West Colton 
Published: February 2023

AbstractUnderstanding the factors that mediate carbon (C) cycling is increasingly important as anthropogenic activities and climate change alter ecosystems. Decomposition rates mediate C cycling and are in part regulated by sodium (Na) where Na is limiting up to some threshold after which Na becomes stressful and reduces decomposition rates (i.e., the Sodium Subsidy-Stress hypothesis). An overlooked pathway by which decomposers encounter increased salts like NaCl is through plants, which often take up Na in proportion to soil concentrations. Here we tested the hypothesis that Na addition through litter (detritus) and water and their interaction would impact detrital processing and leachate chemistry. Laboratory riparian soil mesocosms received either artificial litter (100% cellulose sponges) soaked in 0.05% NaCl (NaClL) or just H2O (H2OL: control) and half of each litter treatment received weekly additions of 150 ml of either 0.05% NaCl water (NaClW) or just H2O (H2OW: control). After 8 weeks decomposition was higher in NaCl addition treatments (both NaClLand NaClWand their combo) than controls (H2OL + H2OW) but reflected a unimodal relationship where the saltiest treatment (NaClL + NaClW) was only marginally higher than controls indicating a subsidy-stress response. Previous studies in this system found that Na addition in either water or litter decreased decomposition. However, differences may reflect a phenology of Na demand where Na-limitation increases in the spring (this study). These results indicate that our understanding of how Na impacts detrital processes, C cycling, and aquatic-terrestrial linkages necessitates incorporation of temporal dynamics.
Nomogram for pre-procedural prediction of non-curative endoscopic resection in patients with early gastric cancer
Authors: Han So Young , Yoon Hong Jin , Kim Jie-Hyun , Lee Hye Sun , Chun Jaeyoung , Youn Young Hoon , Park Hyojin 
Published: February 2023

Abstract
Background
Non-curative resection (non-CR) after endoscopic submucosal dissection (ESD) requires additional surgery due to the possibility of lymph node metastasis (LNM). Therefore, it is important to accurately predict the risk of non-CR to avoid unnecessary preoperative procedures. Thus, we aimed to develop and verify a nomogram to predict the risk of non-CR prior to ESD.

Methods
Patients who underwent ESD for early gastric cancer (EGC) were divided into CR and non-CR groups based on the present ESD criteria. The pre-procedural factors, such as endoscopic features, radiologic findings, and pathology of the lesion, were compared between the groups to identify the risk factors associated with non-CR. A nomogram was developed using multivariate analysis, and its predictive value was assessed using an external validation group.

Results
Among 824 patients, 682 were curative (82.7%) and 142 were non-curative (17.3%). By comparing two groups, endoscopic features including redness, whitish mucosal change, fold convergence, and large lesion size; histologic features such as moderately or poorly differentiated or signet ring cell carcinoma; and abnormal CT findings including non-specific lymph node enlargement and fold thickening were identified as significant predictors of non-CR. The nomogram was developed based on these predictors and showed good predictive performance in the external validation, with an area under the curve of 0.87.

Conclusions
We developed a nomogram to predict the risk of non-CR prior to ESD. These predictive factors in addition to the existing ESD criteria can help provide the best treatment option for patients with EGC.
A Hu–Washizu variational approach to self-stabilized virtual elements: 2D linear elastostatics
Authors: Lamperti Andrea , Cremonesi Massimiliano , Perego Umberto , Russo Alessandro , Lovadina Carlo 
Published: February 2023

AbstractAn original, variational formulation of the Virtual Element Method (VEM) is proposed, based on a Hu–Washizu mixed variational statement for 2D linear elastostatics. The proposed variational framework appears to be ideal for the formulation of VEs, whereby compatibility is enforced in a weak sense and the strain model can be prescribed a priori, independently of the unknown displacement model. It is shown how the ensuing freedom in the definition of the strain model can be conveniently exploited for the formulation of self-stabilized and possibly locking-free low order VEs. The superior performances of the VEs formulated within this framework has been verified by application to several numerical tests.
„Mit Bluetooth ein Signal der Solidarität senden“? – Eine medizinethische Analyse der öffentlichen Debatte über die Corona-Warn-App
Authors: Ellerich-Groppe Niklas 
Published: February 2023

ZusammenfassungIn der öffentlichen Debatte über die Corona-Warn-App kann der Solidaritätsbegriff als wichtiger, aber inhaltlich umstrittener normativer Bezugspunkt gelten. So stehen hier unterschiedliche Solidaritätsrekurse mit heterogenen Voraussetzungen, normativen Implikationen und praktischen Konsequenzen nebeneinander, die einer medizinethischen Untersuchung bedürfen. Vor diesem Hintergrund ist es Ziel des Beitrags, erstens die Bandbreite der Verwendungsweisen des Solidaritätsbegriffs in der öffentlichen Debatte zur Corona-Warn-App anschaulich zu machen sowie zweitens die Voraussetzungen und normativen Implikationen dieser Verwendungsweisen herauszuarbeiten und einer ethischen Bewertung zu unterziehen.Dazu stelle ich nach einer kurzen Einführung in die Corona-Warn-App und einer Vergegenwärtigung der Grundzüge des Solidaritätskonzepts vier Beispiele aus der öffentlichen Debatte zur Corona-Warn-App dar, die mit Blick auf die zugrundeliegende Identifikation, die Solidaritätsgruppe, den solidarischen Beitrag sowie das normative Ziel erhebliche Unterschiede aufweisen. Sie unterstreichen die Notwendigkeit weiterführender Maßstäbe, um ihre Legitimität zu bewerten. Dazu greife ich auf vier normative Kriterien einer kontextsensitiven, moralisch gehaltvollen Solidaritätskonzeption zurück (Solidaritätsoffenheit, gestaltbare Inklusivität, Angemessenheit des solidarischen Beitrags, normative Abhängigkeit) und evaluiere auf dieser Grundlage die vorgestellten Solidaritätsrekurse ethisch.Für alle dargestellten Solidaritätsrekurse lassen sich in der Folge kritische Rückfragen formulieren. Dabei werden einerseits die Potenziale und Limitationen von Solidaritätsrekursen in öffentlichen Debatten deutlich. Andererseits werden Schlussfolgerungen möglich, wann eine Tracing-App tatsächlich als solidarische Technologie zur Pandemiebekämpfung verstanden werden kann.
The FACE test: a new neuropsychological task to assess the recognition of complex mental states from faces
Authors: Terruzzi Stefano , Funghi Giulia , Meli Claudia , Barozzi Nicole , Zappini Francesca , Papagno Costanza , Dodich Alessandra 
Published: February 2023

Abstract
Background
Social cognition deficits are reported in several neurodegenerative diseases, including Parkinson’s disease (PD). However, the availability of tasks for the clinical assessment is still limited, preventing the full characterization of socio-cognitive dysfunctions in neurological patients. This study aims to present a new task to assess the recognition of complex mental states from faces (FACE test), reporting normative data for the Italian population and an example of its clinical application to 40 PD patients.

Methods
Two-hundred twenty-nine Italian participants with at least 5 years of education were enrolled. Data were analyzed according to the method of equivalent scores; test-retest reliability and convergent validity were assessed. Two short versions of the FACE test were defined for clinical and research purposes. The prevalence of deficits in the FACE test was computed in the PD sample, as well as correlations with cognitive performance and diagnostic accuracy.

Results
Regression analyses revealed significant effects of demographic variables on FACE performance, with younger and more educated individuals showing higher scores. Twenty-eight percent of PD patients showed borderline/pathological performance, which was correlated with emotion recognition/attribution abilities, and attentive-executive functions. The FACE test was accurate (80%) in distinguishing PD patients with socio-cognitive dysfunctions from both controls and PD patients without emotion recognition/attribution difficulties.

Conclusion
The FACE test represents a new tool assessing the ability to recognize complex mental states from facial expressions. Overall, these results support its use in both clinical and research settings, as well as the presence of affective processing deficits in a subsample of PD patients.
The demographic consequences of fertility reduction in rats and voles
Authors: Shuster Stephen M. , Pyzyna Brandy , Ray Courtney , Mayer Loretta P. 
Published: February 2023

AbstractRodent population control is a global problem, complicated by evolved non-responsiveness to rodenticide treatment. Contraceptives could help mitigate this challenge, but questions remain about their efficacy, especially for rodenticide-resistant populations. We used an age-dependent demographic model to generate two hypotheses: Fertility reduction applied early in female lifetimes (1) is more effective in controlling rodent populations than when applied later in female lifetimes, and (2) is effective in controlling rodent populations that are expanding. Compared to controls, fertility reduction applied early, in mid-life, and late in female lifetimes, decreased, matched, and accelerated, respectively, the rates of population growth. Fertility reduction was effective in reducing population size only when sustained over multiple generations and was ineffective when application was episodic. Substituting classic Rattus norvegicus and Microtus agrestis life history data into our simulation framework confirmed that early fertility reduction was effective in controlling population growth, including expanding populations in both species. These simulations generated two additional hypotheses for field applications of fertility control: Over treatment durations, (3) the fraction of the population consisting of juveniles, and (4) the overall population size, will both decrease. We tested these predictions using a 12-month contraceptive bait application on rats in two urban US locations (Washington, DC) where rodenticides were already deployed. Consistent with our predictions, these populations showed marked decreases in the proportion of juvenile to adult rats, and in the total number of rats observed in camera traps over the study period. Our results support fertility control as an effective method for managing rodent populations.
The use of a scriptwriting task as a window into how prospective teachers envision teacher moves for supporting student reasoning
Authors: Shure Victoria , Liljedahl Peter 
Published: February 2023

AbstractThe development of mathematical reasoning skills has increasingly been of focus for the teaching and learning of mathematics. This research utilizes a teaching simulation using the methodology of scriptwriting, in which prospective teachers are asked to complete a script of a dialogue from a classroom simulation involving fraction multiplication and division with justification, assisting fictional students to work through their difficulties and helping them to justify their reasoning. Such tasks allow for the examination of the prospective teacher moves to support student reasoning through their imagined action and choice of words. Scripts from forty-one prospective primary teachers were examined for the study, and five clusters based on the type of teacher move for supporting student reasoning were found. Overall, the prospective teachers emphasized the elicitation and facilitation of students’ ideas. The cluster analysis, however, provided a nuanced examination of the cohort’s teacher moves. While cluster one saw the highest incident of eliciting teacher moves, albeit only in the low potential category, clusters two and three mostly used facilitating teacher moves, but varied in their use of high and low potential moves. Cluster four concentrated moves on facilitating, eliciting, and responding to student reasoning. Cluster five employed teacher moves from all main categories, with some instances of high potential moves in all categories except extending student reasoning, which can better support reasoning. The prospective mathematics teachers’ scripts and the five clusters that were found during analysis are discussed with implications for future teacher education and the support of building mathematical reasoning.
Entropy and heat transfer investigation of Casson–Maxwell, Casson–Jeffrey, and Casson–Oldroyd-B binary nanofluids in a parabolic trough solar collector: a comparative study
Authors: Raafat Philopatir B. , Ibrahim Fayez N. 
Published: February 2023

AbstractIn this paper, we compared copper-engine oil Casson–Maxwell, Casson–Jeffrey, and Casson–Oldroyd-B binary nanofluids in a parabolic trough solar collector. Using appropriate similarity variables, the partial differential equations governing nanofluid flow were converted into ordinary differential equations. The resulting nonlinear systems were solved using the shooting method. The numerical results were presented in graphical and tabular forms. We investigated the effects of different parameters controlling the flow on the velocity, temperature, entropy generation, skin friction, and local Nusselt number of the nanofluids. Overall, the Casson–Maxwell and Casson–Jeffrey nanofluid models had better efficiency than the Casson–Oldroyd-B nanofluid model.
Application of point cloud data to assess edge effects on rainforest structural characteristics in tropical Sumatra, Indonesia
Authors: Nguyen Tuan Anh , Ehbrecht Martin , Camarretta Nicolò 
Published: February 2023

Abstract
Context
In forestry, edge zones created by forest degradation and fragmentation are more susceptible to disturbances and extreme weather events. The increase in light regime near the edge can greatly alter forest microclimate and forest structure in the long term. In this context, understanding edge effects and their impact on forest structure could help to identify risks, facilitate forest management decisions or prioritise areas for conservation.

Objective
In this paper, we focus on the application of airborne laser scanning (ALS) data to assess the impact of edge effects on forest structural metrics in degraded rainforests in Sumatra, Indonesia. Changes in structural heterogeneity with respect to distance from an edge were also quantified.

Methods
We used 22 ALS structural metrics extracted from 105 plots in secondary forests adjacent to oil palm plantations and analysed the change in canopy structure across edge-to-interior transects. In addition, 91 plots taken from less disturbed areas were used as reference for comparison with the near-to-edge plots.

Results
Our analysis found strong evidence of degradation in the secondary forests studied, with multiple edge interactions resulting in a non-diminishing effect even at long distances from the forest edge. On average, we observed a large decrease of about 40% in all metrics of canopy height and about 25% in some metrics of canopy structure across all distances from an edge when compared to the interior forest conditions. Thus, in our forests, canopy height and structure were more susceptible to edge effects than metrics related to canopy gaps. Finally, the degraded forest in our study exhibited lower structural complexity, both at patch and landscape levels, suggesting that disturbances can greatly alter structural complexity in tropical rainforests.

Conclusion
Our study confirms the potential of ALS-derived vegetation metrics to study and understand the effects of forest edges and the associated changes in structural complexity over large areas in tropical rainforests. The approach followed here is transferrable to similarly fragmented landscapes in the tropics.
The impacts of social determinants of health and cardiometabolic factors on cognitive and functional aging in Colombian underserved populations
Authors: Santamaria-Garcia Hernando , Moguilner Sebastian , Rodriguez-Villagra Odir Antonio , Botero-Rodriguez Felipe , Pina-Escudero Stefanie Danielle , O’Donovan Gary , Albala Cecilia , Matallana Diana , Schulte Michael , Slachevsky Andrea , Yokoyama Jennifer S. , Possin Katherine , Ndhlovu Lishomwa C. , Al-Rousan Tala , Corley Michael J. , Kosik Kenneth S. , Muniz-Terrera Graciela , Miranda J. Jaime , Ibanez Agustin 
Published: February 2023

Abstract Global initiatives call for further understanding of the impact of inequity on aging across underserved populations. Previous research in low- and middle-income countries (LMICs) presents limitations in assessing combined sources of inequity and outcomes (i.e., cognition and functionality). In this study, we assessed how social determinants of health (SDH), cardiometabolic factors (CMFs), and other medical/social factors predict cognition and functionality in an aging Colombian population. We ran a cross-sectional study that combined theory- (structural equation models) and data-driven (machine learning) approaches in a population-based study (N = 23,694; M = 69.8 years) to assess the best predictors of cognition and functionality. We found that a combination of SDH and CMF accurately predicted cognition and functionality, although SDH was the stronger predictor. Cognition was predicted with the highest accuracy by SDH, followed by demographics, CMF, and other factors. A combination of SDH, age, CMF, and additional physical/psychological factors were the best predictors of functional status. Results highlight the role of inequity in predicting brain health and advancing solutions to reduce the cognitive and functional decline in LMICs.