bluuebunny/crossref_metadata_2025_split huggingface dataset:
An efficient system using implicit feedback and lifelong learning approach to improve recommendation
Authors: Pal Gautam 
Published: May 2022

AbstractThis paper presents a new technique for contextual item-to-item Collaborative Filtering-based Recommender System, an improved version popularised by e-commerce giantAmazontwo decades back. The concept is based on items also-viewed under the same browsing session. Users’ browsing patterns, locations, and timestamps are considered as thecontextandlatent factorsfor each user. The algorithm computes recommendations based on users’implicitendorsements byclicks. The algorithm does not enforce the user to log in to provide recommendations and is capable of providing accurate recommendations fornon-logged-in usersand with a setting where the system is unaware of users’ preferences and profile data (non-logged-in users). This research takes the cue from humanlifelong incremental learningexperience applied to machine learning on a large volume of the data pool. First, all historical data is gathered from collectable sources in a distributed manner through big data tools. Then, a long-running batch job creates the initial model and saves it to Hadoop Distributed File System (HDFS). An ever-running streaming job loads the model from HDFS and builds on top of it in anincrementalfashion. At the architectural level, this resembles the big data mix processingLambda Architecture. The recommendation is computed based on a proposed equation for a weighted sum between near real-time and historical batch data. Real-time and batch processing engines act as autonomous Multi-agent systems in collaboration. We propose an ensemble method for batch-stream the recommendation engine. We introduce a novelLifelong Learning Modelfor recommendation through Multi-agent Lambda Architecture. The recommender system incrementally updates its model on streaming datasets to improve over time.
Speak no ill of the dead: the dead as a social group
Authors: Kaspers Tom , LiBrizzi Jacob , Calosi Duccio , Kobe Yoichi 
Published: May 2022

AbstractIn her recent article “The Ontology of Social Groups”, Thomasson (Synthese 196:4829–4845, 2019) argues that social groups can be characterized in terms of the norms that surround them. We show that according to Thomasson’s normativity-based criterion, the dead constitute a social group, since there are widespread and well-defined social norms as to how to treat the dead, such as the norm expressed in the title (“Speak no ill of the dead”). We argue that the example of the dead must not be interpreted as a counterexample to this criterion, and that, rather, there are good reasons to think of the dead as a genuine social group. Furthermore, the dead as a social group exist, regardless of whether or not the dead (i.e. the members of this social group) exist as persons. This view is clearly incompatible with the idea that social groups can be explained by citing features of their members, which is why we take the case of the dead to pose a challenge for the thesis of individualism. We consider the ontological implications of this example and suggest that social groups ought to be seen as reifications of social norms. Another implication of taking the dead to be a social group is that the presence of external norms is sufficient for the existence of a social group, and therefore internal norms are not necessary. We defend this implication against some potential theoretical and moral problems.
Moral underdetermination and a new skeptical challenge
Authors: Baumann Marius 
Published: May 2022

AbstractIn this paper, I introduce a new challenge to moral realism: theskeptical argument from moral underdetermination. The challenge arises as a consequence of two recent projects in normative ethics. Both Parfit (On what matters, vol 1. Oxford University Press, Oxford, 2011a) and a group calledconsequentializershave independently claimed that the main traditions of normative theories can agree on the set of correct particular deontic verdicts. Nonetheless, as Dietrich and List (Philos Rev 126(4):421–479, 2017) and myself (Baumann in J Ethics Soc Philos 13(3):191–221, 2018; Australas J Philos 97(3):511–527, 2019; Ethical Theory Moral Pract 24(4):999–1018, 2021a) have argued, the traditions still disagree about why these are the correct verdicts. This means that we can understand the situation in terms of an idea from the philosophy of science, the underdetermination of theory by the evidence. Yet underdetermination figures in one of the most important skeptical challenges to scientific realism. I show how an analogous skeptical argument can be construed for the moral realm. I propose a standard form for that argument. I then defend it against three possible objections, arguing that it is at least as plausible as, if not more plausible than, its counterpart in the philosophy of science.
Towards a theory of abduction based on conditionals
Authors: Pfister Rolf 
Published: May 2022

AbstractAbduction is considered the most powerful, but also the most controversially discussed type of inference. Based on an analysis of Peirce’s retroduction, Lipton’s Inference to the Best Explanation and other theories, a new theory of abduction is proposed. It considers abduction not as intrinsically explanatory but as intrinsically conditional: for a given fact, abduction allows one to infer a fact that implies it. There are three types of abduction: Selective abduction selects an already known conditional whose consequent is the given fact and infers that its antecedent is true. Conditional-creative abduction creates a new conditional in which the given fact is the consequent and a defined fact is the antecedent that implies the given fact. Propositional-conditional-creative abduction assumes that the given fact is implied by a hitherto undefined fact and thus creates a new conditional with a new proposition as antecedent. The execution of abductive inferences is specified by theory-specific patterns. Each pattern consists of a set of rules for both generating and justifying abductive conclusions and covers the complete inference process. Consequently, abductive inferences can be formalised iff the whole pattern can be formalised. The empirical consistency of the proposed theory is demonstrated by a case study of Semmelweis' research on puerperal fever.
Disagreement in metametaphysical dispute
Authors: Jaksland Rasmus 
Published: May 2022

AbstractRecent years have seen several studies of metaphysical disputes as disagreement phenomena employing the resources from the research on disagreement in social epistemology. This paper undertakes an analogous study of the metametaphysical disagreement over the substantiveness of metaphysical disputes between inflationists and deflationists. The paper first considers and questions the skeptical argument that the mere existence of the disagreement mandates the suspension of judgement about the substantiveness of metaphysical disputes. Rather, the paper argues that steadfastness in the face of this disagreement is rational, at least for inflationists. Since inflationists are often metaphysicians who were called to this disagreement due to its apparent threat to their first order debates in metaphysics, they can therefore return to these debates in good faith. In contrast, deflationists have no such alternative occupation and the verdict of steadfastness will not alter their engagement in the inflationist/deflationist disagreement: they will continue their attempt to resolve the disagreement to their advantage. Thus, though the verdict of steadfastness is epistemically symmetric between inflationism and deflationism, it induces an asymmetry in the motivation to pursue the inflationist/deflationist disagreement which places the burden of advancing the dialectic of this disagreement with the deflationists while metaphysicians can continue their work as before.
Organizational complexity in big science: strategies and practices
Authors: Merz Martina , Sorgner Helene 
Published: May 2022

AbstractStudies on ‘Big Science’ have shifted our perspective from the complexity of scientific objects and their representations to the complexity of sociotechnical arrangements. However, how scientists in large-scale research attend to this complexity to facilitate and afford knowledge production has rarely been considered to date. In this article, we locate organizational complexity on the level of organizing practices that follow multiple and divergent logics. We identify three strategies of managing organizational complexity, drawing on existing literature on large-scale research as well as own empirical research. The three strategies are: segmenting research infrastructure, introducing elements of bureaucratic governance, and implementing standards and standardization. We illustrate these strategies with examples from our empirical case study on experimental particle physics research at CERN’s Large Hadron Collider. While the strategies we identified help to cope with the complexity of some organizational tasks by dividing, ordering, or mediating between divergent organizational logics, we find that organizational complexity overall is not reduced but rather displaced. We argue that dealing with complexity is a dynamic and ongoing process, which inevitably generates novel organizational complexity.
A review on reactive transport model and porosity evolution in the porous media
Authors: Baqer Yousef , Chen Xiaohui 
Published: May 2022

AbstractThis work comprehensively reviews the equations governing multicomponent flow and reactive transport in porous media on the pore-scale, mesoscale and continuum scale. For each of these approaches, the different numerical schemes for solving the coupled advection–diffusion-reactions equations are presented. The parameters influenced by coupled biological and chemical reactions in evolving porous media are emphasised and defined from a pore-scale perspective. Recent pore-scale studies, which have enhanced the basic understanding of processes that affect and control porous media parameters, are discussed. Subsequently, a summary of the common methods used to describe the transport process, fluid flow, reactive surface area and reaction parameters such as porosity, permeability and tortuosity are reviewed.
Individual socioeconomic status as a modifier of the association between high ambient temperature and hospital admissions: a time series study in Hong Kong, 2010–2019
Authors: Guo Yi Tong , Bernard Goggins William , Chan Emily Ying Yang , Ho Kin Fai 
Published: May 2022

AbstractFew studies have examined individual socioeconomic status (SES) as a potential modifier of ambient temperature–health associations, especially for temperature-related hospitalizations. We fit penalized distributed lag non-linear models within generalized additive models to study the short-term associations (0–3 days) between temperature and hospital admissions stratified by common causes, age, and individual SES, as determined by whether patients received public assistance (PA) to cover their medical fee at the time of hospitalizations, during the hot season (May 15 to October 15) in Hong Kong for the years 2010–2019. We calculated the ratio of relative risk (RRR) and corresponding 95% confidence interval (CI) to statistically test the difference of the associations between PA groups. For 75 + patients, the PA group had significantly increased risks of hospitalizations at higher temperature for most causes, with relative risks (RR, 99th %ile vs. 25%ile) and 95% CIs of 1.138 (1.099, 1.179), 1.057 (1.008, 1.109), and 1.163 (1.094, 1.236) estimated for all non-cancer non-external, circulatory, and respiratory admissions, respectively. There were slight decreases of RRs with higher temperature for 75 + patients without PA. The strengths of temperature–hospitalization associations were strongly and significantly different between PA groups for all examined causes for 75 + patients, with the most considerable discrepancy found for ischemic heart disease (RRR = 1.266; 95% CI, 1.137, 1.410). Hospitalizations for patients aged 15–74 were less affected by heat, and the difference of the associations between groups was small. Individual SES is a significant modifier of high temperature–hospitalization associations in Hong Kong among the elderly. Public health interventions are needed to better protect this subpopulation from adverse health impacts of high temperature.
A retrospective observational study of osteoporosis management after a fragility fracture in primary care
Authors: Bell Alan , Kendler David L. , Khan Aliya A. , Shapiro C.M. Marla , Morisset Anne , Leung Jean-Pierre , Reiner Maureen , Colgan Stephen M. , Slatkovska Lubomira , Packalen Millicent 
Published: May 2022

Abstract

Summary
In many countries, osteoporosis is predominantly managed by primary care physicians; however, management after a fragility fracture has not been widely investigated. We describe osteoporosis care gaps in a real-world patient cohort. Our findings help inform initiatives to identify and overcome obstacles to effective management of patients after fragility fracture.

Purpose
A fragility fracture is a major risk factor for subsequent fracture in adults aged ≥ 50 years. This retrospective observational study aimed to characterize post-fracture management in Canadian primary care.

Methods
A total of 778 patients with an index fragility fracture (low-trauma, excluding small bones) occurring between 2014 and 2016 were identified from medical records at 76 primary care centers in Canada, with follow-up until January 2018.

Results
Of 778 patients (80.5% female, median age [IQR] 73 [64–80]), 215 were on osteoporosis treatment and 269 had osteoporosis diagnosis recorded prior to their index fracture. The median follow-up was 363 (IQR 91–808) days. Of patients not on osteoporosis treatment at their index fracture, 60.2% (n = 339/563) remained untreated after their index fracture and 62.2% (n = 23/37) continued untreated after their subsequent fracture. After their index fracture, fracture risk assessment (FRAX or CAROC) was not performed in 83.2% (n = 647/778) of patients, and 59.9% (n = 466/778) of patients did not receive bone mineral density testing. Of patients without osteoporosis diagnosis recorded prior to their index date, 61.3% (n = 300/489) remained undiagnosed after their index fracture. At least one subsequent fracture occurred in 11.5% (n = 86/778) of patients.

Conclusion
In the primary care setting, fragility fracture infrequently resulted in osteoporosis treatment or fracture risk assessment, even after multiple fragility fractures. These results suggest a fragility fracture is not recognized as a major risk factor for subsequent fracture and its occurrence does not prompt primary care physicians to intervene. These data urge initiatives to identify and overcome obstacles to primary care physicians’ effective management of patients after fragility fractures.
Aqueous Extraction of Curcuminoids from Curcuma longa: Effect of Cell Disintegration Pre-treatment and Extraction Condition
Authors: Le-Tan Hoang , Fauster Thomas , Haas Klara , Jaeger Henry 
Published: May 2022

AbstractCell structure modification techniques have the potential to improve curcuminoid recovery in Curcuma longa. In this study, different pre-treatments such as high hydrostatic pressure (HPP, high pressure processing), ultrasound (US), pulsed electric field (PEF), and ohmic heating (OH) were used on dried C. longa before aqueous extraction at pH 2.0, 5.0, and 8.0. The released curcuminoids, cell disintegration index (Zp), particle size distribution (PSD), and color (CIE L*, a*, b*) were used to evaluate the different pre-treatment impacts on plant structure and extract properties. In untreated turmeric, the highest amount of released curcuminoids (3.89 mg/g dry matter) was obtained after extraction for 30 min at 95° in the aqueous phase. After pre-treatments, the acidic conditions showed a considerable improvement in curcuminoid recovery; PEF, HPP, and OH improved the curcuminoid recovery by 3.39-, 3.13-, and 1.24-fold, respectively; while US did not lead to an increased release of curcuminoids compared to the untreated material. The highest curcuminoid recovery (with PEF and extraction at pH 5.0) was 6.6% w/w of the total curcuminoids. The non-thermal pre-treatments have less impact on the extract’s color compared to the extraction pH, with alkaline conditions reducing the lightness of the extract.
Demystifying the Black Box: The Importance of Interpretability of Predictive Models in Neurocritical Care
Authors: Moss Laura , Corsar David , Shaw Martin , Piper Ian , Hawthorne Christopher 
Published: May 2022

AbstractNeurocritical care patients are a complex patient population, and to aid clinical decision-making, many models and scoring systems have previously been developed. More recently, techniques from the field of machine learning have been applied to neurocritical care patient data to develop models with high levels of predictive accuracy. However, although these recent models appear clinically promising, their interpretability has often not been considered and they tend to be black box models, making it extremely difficult to understand how the model came to its conclusion. Interpretable machine learning methods have the potential to provide the means to overcome some of these issues but are largely unexplored within the neurocritical care domain. This article examines existing models used in neurocritical care from the perspective of interpretability. Further, the use of interpretable machine learning will be explored, in particular the potential benefits and drawbacks that the techniques may have when applied to neurocritical care data. Finding a solution to the lack of model explanation, transparency, and accountability is important because these issues have the potential to contribute to model trust and clinical acceptance, and, increasingly, regulation is stipulating a right to explanation for decisions made by models and algorithms. To ensure that the prospective gains from sophisticated predictive models to neurocritical care provision can be realized, it is imperative that interpretability of these models is fully considered.
ESMO 2021—my top three abstracts in breast cancer
Authors: Suppan Christoph 
Published: May 2022

SummaryThe congress of the European Society of Medical Oncology (ESMO) that recently took place virtually was marked by highlights in many different cancer types. New therapeutic options especially in metastatic breast cancer will hopefully bring a longer life to thousands of patients all over the world. These include new antibody–drug conjugates (ADCs) and checkpoint inhibitors as well as cyclin-dependent kinase (CDK)4/6 inhibitors prolonging overall survival. In Her2-positive advanced breast cancer trastuzumab deruxtecan (T-DXd) compared to trastuzumab emtansine showed a superior benefit in progression-free survival (PFS) in patients who received at least one prior therapy line in the metastatic setting. In the first-line treatment of metastatic triple-negative breast cancer, an overall survival (OS) benefit of pembrolizumab plus chemotherapy versus chemotherapy alone was confirmed for patients with a combined positive score (CPS) ≥ 10. Final results of MONALESSA‑2 demonstrated a great OS benefit for the cyclin dependent kinase (CDK)4/6 inhibitor ribociclib plus endocrine therapy as first-line treatment of patients with hormone receptor (HR)-positive, Her2-negative breast cancer.
Performance of Low-Grade Calcined Clays as Supplementary Cementitious Material in Relation to their Geological Characteristics
Authors: Vásquez-Torres Oscar O. , Cabrera-Poloche Francisco D. , Tobón Jorge I. 
Published: May 2022

AbstractCalcined clays are used as a supplementary cementitious material (SCM) because, as hydrated aluminosilicates of the phyllosilicate group, they can be activated thermally, promoting dehydroxylation and structural disorder, i.e. making them reactive. The main effect of using calcined clay as an SCM is that CO2 emissions into the atmosphere are reduced by the reduction in the clinker/cement factor due to substitution of a proportion of clinker by calcined clay. Clays rich in kaolinite (1:1) group minerals offer most promise in terms of thermal activation. However, increased costs caused by demand for kaolinite from other industries means that type 2:1 calcined clays and mixtures of them have begun to be investigated as possible pozzolanic materials. The physical, chemical, and mineralogical characteristics that control the performance of these calcined clays as SCMs are still under discussion. Few in-depth studies of the behavior of these characteristics have been reported. The origin and geological history of raw materials, as well as their impact on the thermal activation and performance as SCM, are not well understood or, in some cases, have not been considered. The objective of the current work, therefore, was to study multicomponent clays from metamorphic rocks with low-grade kaolinite (<50%) from a tropical region of Colombia for possible use as SCMs. The clay deposit was identified by geological exploration techniques and classified in depth according to horizons of the weathering profile. The samples were extracted from the first 50 m of the deposit and characterized physically, chemically, and mineralogically; they were calcined at 650, 750, and 850°C; their degree of alteration was estimated by the Chemical Index of Alteration (CIA); and their performance as an SCM was evaluated by the Strength Activity Index (SAI) and Frattini test. As a main result, a relationship was found between the weathering profile of the deposit and the CIA of raw clays, which confirmed the high weathering and degree of alteration of the parent rock in the deposit (weathered rock and residual soil with a CIA > 80%). Furthermore, pozzolanic (physical and chemical) tests demonstrated the potential use of calcined clays from this deposit as SCMs, as well as their thermal activation at low temperature (≤750°C). In addition, the pozzolanic activity increased with the kaolinite/(muscovite+illite+vermiculite) ratio mainly, and, in turn, the thermal activation temperature increased with the mica and type 2:1 clay content.
A community–university run conference as a catalyst for addressing health disparities in an urban community
Authors: Murphy Timothy F. , Robinson Rita Hubbard , Wofford Kelly M. , Lesse Alan J. , Grinslade Susan , Taylor Henry L. , Pointer Kinzer M. , Nicholas George F. , Orom Heather 
Published: May 2022

Abstract
The African American population of Buffalo, New York experiences striking race-based health disparities due to adverse social determinants of health. A team of community leaders and university faculty determined that a community dialogue was needed to focus research and advocacy on the root causes of these disparities. In response, we organized the annual Igniting Hope conference series that has become the premier conference on health disparities in the region. The series, now supported by an R13 conference grant from NCATS, has been held four times (2018–2021) and has attracted community members, community leaders, university faculty, and trainees. The agenda includes talks by national leaders and breakout/working groups that led to a new state law that has reduced disproportionate traffic-ticketing and drivers' license suspensions in Black neighborhoods; mitigation of the disproportionate COVID-19 fatalities in Black communities; and the launching of a university-supported institute. We describe the key elements of success for a conference series designed by a community–university partnership to catalyze initiatives that are having an impact on social determinants of health in Buffalo.