bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fully Integrated Ultra-thin Intraoperative Micro-imager for Cancer Detection Using Upconverting Nanoparticles
Authors: Najafiaghdam Hossein , Pedroso Cassio C. S. , Torquato Nicole A. , Cohen Bruce E. , Anwar Mekhail 
Published: March 2022

Abstract

Purpose
Intraoperative detection and removal of microscopic residual disease (MRD) remain critical to the outcome of cancer surgeries. Today’s minimally invasive surgical procedures require miniaturization and surgical integration of highly sensitive imagers to seamlessly integrate into the modern clinical workflow. However, current intraoperative imagers remain cumbersome and still heavily dependent on large lenses and rigid filters, precluding further miniaturization and integration into surgical tools.

Procedures
We have successfully engineered a chip-scale intraoperative micro-imager array—without optical filters or lenses—integrated with lanthanide-based alloyed upconverting nanoparticles (aUCNPs) to achieve tissue imaging using a single micro-chip. This imaging platform is able to leverage the unique optical properties of aUCNPs (long luminescent lifetime, high-efficiency upconversion, no photobleaching) by utilizing a time-resolved imaging method to acquire images using a 36-by-80-pixel, 2.3 mm $$\times$$
×
4.8 mm silicon-based electronic imager micro-chip, that is, less than 100-µm thin. Each pixel incorporates a novel architecture enabling automated background measurement and cancellation. We have validated the performance, spatial resolution, and the background cancellation scheme of the imaging platform, using resolution test targets and mouse prostate tumor sample intratumorally injected with aUCNPs. To demonstrate the ability to image MRD, or tumor margins, we evaluated the imaging platform in visualizing a single-cell thin section of the injected prostate tumor sample.

Results
Tested on USAF resolution targets, the imager is able to achieve a resolution of 71 µm. We have also demonstrated successful background cancellation, achieving a signal-to-background ratio of 8 when performing ex vivo imaging on aUCNP-injected prostate tumor sample, improved from originally 0.4. The performance of the imaging platform on single-cell layer sections was also evaluated and the sensor achieved a signal-to-background ratio of 4.3 in resolving cell clusters with sizes as low as 200 cells.

Conclusion
The imaging system proposed here is a scalable chip-scale ultra-thin alternative for bulky conventional intraoperative imagers. Its novel pixel architecture and background correction scheme enable visualization of microscopic-scale residual disease while remaining completely free of lenses and filters, achieving an ultra-miniaturized form factor—critical for intraoperative settings.
The Reliability Factor: Modeling Individual Reliability with Multiple Items from a Single Assessment
Authors: Martin Stephen R. , Rast Philippe 
Published: March 2022

AbstractReliability is a crucial concept in psychometrics. Although it is typically estimated as a single fixed quantity, previous work suggests that reliability can vary across persons, groups, and covariates. We propose a novel method for estimating and modeling case-specific reliability without repeated measurements or parallel tests. The proposed method employs a “Reliability Factor” that models the error variance of each case across multiple indicators, thereby producing case-specific reliability estimates. Additionally, we use Gaussian process modeling to estimate a nonlinear, non-monotonic function between the latent factor itself and the reliability of the measure, providing an analogue to test information functions in item response theory. The reliability factor model is a new tool for examining latent regions with poor conditional reliability, and correlates thereof, in a classical test theory framework.
Spanish Validation of the COMM Scale to Assess the Misuse of Prescription Opioids in Patients with Chronic Noncancer Pain
Authors: Reyes-Pérez Ángela , López-Martínez Alicia E. , Esteve Rosa , Ramírez-Maestre Carmen 
Published: March 2022

Abstract
The Current Opioid Misuse Measure (COMM) is a questionnaire used to identify and monitor chronic pain patients on opioid therapy who may be misusing their prescription opioids. The aim of the present study was to adapt the questionnaire for its use in Spanish-speaking populations. A total of 171 individuals (131 women and 40 men) with nononcological chronic pain participated in this cross-sectional study. The most frequent pain diagnoses in the sample were fibromyalgia, herniated disc, and rheumatoid arthritis. Systematic sampling was used. All individuals were interviewed at their clinic between March 2018 and February 2020. The dimensionality of the COMM-SV items was evaluated using an optimal implementation of parallel analysis (PA) and an exploratory factor analysis. Internal consistency, test–retest reliability, and criterion and convergent validity were calculated. The COMM-SV comprises five factors: problematic interpersonal behaviour, searching for more medication than prescribed, medication misuse and self-injurious thoughts, emergency use, and memory and attention problems. It has good reliability and adequate test–retest stability. The results support its criterion and convergent validity. Given the increasing use and abuse of opioids, a valid and reliable instrument is needed in Spanish settings to identify patients with chronic pain who present aberrant behaviour related to the use of these medications. The COMM-SV enables Spanish clinicians to do that.
Network and solitude satisfaction as modifiers of disadvantages in the quality of life of older persons who are challenged by exclusion from social relations: a gender stratified analysis
Authors: Pavlidis George , Hansen Thomas , Motel-Klingebiel Andreas , Aartsen Marja 
Published: March 2022

AbstractThis study examined from a gender-sensitive perspective the associations of exclusion from social relations (ESR) with the quality of life (QoL) of excluded older persons. Being satisfied with existing relations (i.e., network satisfaction) may be particularly important for the QoL of older persons with small networks, whereas the QoL of “network-less” older persons may be associated with their perception of solitude (i.e., solitude satisfaction). This study examined the moderating role of network satisfaction (NS) in the gendered associations between network size and QoL, as well as the gendered associations of solitude satisfaction (SS) with the QoL of older “network-less” persons. In addition, the comparative disadvantages in the QoL of “network-less” older persons with low-to-high SS, compared to the QoL of socially embedded persons with low-to-high NS were examined. Cross-sectional gender stratified secondary analyses of data from participants (N = 72.433) in the Survey on Health, Aging and Retirement in Europe (SHARE) did not provide convincing evidence that a higher NS is particularly important for the QoL of older persons with smaller networks. Among older “network-less” persons, lower SS was associated with lower QoL, comparatively more so among older women. Older persons embedded in a social network with low NS, as well as older “network-less” persons with low SS, have comparatively the lowest levels of QoL. It was concluded that the subjective evaluation of social relations and the subjective evaluation of solitude are associated with gendered disadvantages in the QoL of older persons challenged by ESR.
Mapping Sustainable Development Goals 8, 9, 12, 13 and 15 through a decolonial lens: falling short of ‘transforming our world’
Authors: Krauss Judith E. , Jiménez Cisneros Andrea , Requena-i-Mora Marina 
Published: March 2022

AbstractThe United Nations’ Sustainable Development Goals (UN SDGs) aspire to be integrated and indivisible, balance the three dimensions of sustainable development and transform our world by going beyond previously agreed language. Focusing on decoloniality and equity, we explore whether these aspirations are met in analysing five goals, their targets and indicators interlinking especially the economy–ecology spheres: SDGs 8 (economic growth), 9 (industry and innovation), 12 (sustainable production and consumption), 13 (climate action) and 15 (life on land). We examine two interconnected foci. Having mapped the connections which exist, according to official UN data, between these goals’ indicators, we examine definitions and delineations in SDGs 8, 9, 12, 13 and 15 through a decolonial lens, focusing on universality, absences and modernity–coloniality. A second step investigates the equity implications of these framings, using indicator data to illustrate abiding injustices. Our original contribution is thus retracing these connections and contradictions, their intellectual heritage and their equity implications in the detail of these five SDGs, their targets and indicators, combining the sustainable development and decolonial literatures in novel ways. We find that trade-offs, absences and justice shortcomings call into question the attainment of the SDGs’ objectives of leaving no one behind while safeguarding advances for people, planet, prosperity, peace and prosperity. We recognize the SDGs’ opportunity to rethink how we want to co-exist in this world. However, we argue that recognizing absences, trade-offs and equity shortcomings are key prerequisites to attain genuine transformations for justice and sustainability through the SDGs.
Impact of Substrates on the Electronic and Mechanical Properties of AlxIn1−xPySb1−y Alloys
Authors: Alfrnwani O. A. , Degheidy A. R. , Elkenany Elkenany B. 
Published: March 2022

AbstractThe compositional dependence of electronic and mechanical properties of a AlxIn1−xPySb1−y quaternary alloy in zinc-blende structure lattice-matched to GaSb, InAs, and InP substrates is studied. The calculations are done based on the empirical pseudopotential method modified with virtual crystal approximation. Our calculations are obtained for the energy band gaps, elastic constants, elastic moduli, bond stretching, bond bending forces, and internal strain parameter. The material system of interest is found to be a direct semiconductor within a small range of Al concentrations about 0–0.07 and an indirect one outside this region. The Debye temperature and the Fröhlich coupling constant have been determined at different values of composition lattice-matched to different substrates. The phonon frequencies and the sound velocity for different substrates at various compositions have been studied. There is a good agreement between our results and the experimental data for its constituent binary compounds, AlP, AlSb, InP, InSb, and ternary alloys, InPSb, AlPSb, which supports the calculated results of the studied AlxIn1−xPySb1−y quaternary alloy. The studied properties for the considered alloy may be helpful for the fabrication of optoelectronic devices.
Ethical Design and Use of Robotic Care of the Elderly
Authors: Johnston Carolyn 
Published: March 2022

AbstractThe Australian Royal Commission into Aged Care Quality and Safety acknowledged understaffing and substandard care in residential aged care and home care services, and recommendations were made that that the Australian Government should promote assistive technology within aged care. Robotic care assistants can provide care and companionship for the elderly—both in their own homes and within health and aged care institutions. Although more research is required into their use, studies indicate benefits, including enabling the elderly to live independently at home, assistance with medication and monitoring of safety. Nevertheless, there are inherent ethical challenges in the use of robots as carers, including loss of privacy, unwarranted restrictions on autonomy, lack of dignity, deception, and the exacerbation of loneliness. Ethics by design can counter these issues in development of robotics and clinical ethics committees have been put forward as a way of dealing with the ethical use of robotic care in healthcare institutions. In this paper I outline the ethical challenges of robotic care assistants and how these may be mediated in their design and use.
SEOM-GEICO clinical guidelines on endometrial cancer (2021)
Authors: Barretina-Ginesta María Pilar , Quindós María , Alarcón Jesús Damián , Esteban Carmen , Gaba Lydia , Gómez César , Fidalgo José Alejandro Pérez , Romero Ignacio , Santaballa Ana , Rubio-Pérez María Jesús 
Published: March 2022

AbstractEndometrial cancer (EC) is the second most common gynecological malignancy worldwide, the first in developed countries [Sung et al. in CA Cancer J Clin 71:209–249, 2021]. Although a majority is diagnosed at an early stage with a low risk of relapse, an important proportion of patients will relapse. Better knowledge of molecular abnormalities is crucial to identify high-risk groups in early stages as well as for recurrent or metastatic disease for whom adjuvant treatment must be personalized. The objective of this guide is to summarize the current evidence for the diagnosis, treatment, and follow-up of EC, and to provide evidence-based recommendations for clinical practice.
Proceedings of the North American Society of Head and Neck Pathology, Los Angeles, CA, March 20, 2022: SWI/SNF-deficient Sinonasal Neoplasms: An Overview
Authors: Agaimy Abbas 
Published: March 2022

AbstractThe pathology of poorly differentiated sinonasal malignancies has been the subject of extensive studies during the last decade, which resulted into significant developments in the definitions and histo-/pathogenetic classification of several entities included in the historical spectrum of “sinonasal undifferentiated carcinomas (SNUC)” and poorly differentiated unclassified carcinomas. In particular, genetic defects leading to inactivation of different protein subunits in the SWI/SNF chromatin remodeling complex have continuously emerged as the major (frequently the only) genetic player driving different types of sinonasal carcinomas. The latter display distinctive demographic, phenotypic and genotypic characteristics. To date, four different SWI/SNF-driven sinonasal tumor types have been recognized: SMARCB1(INI1)-deficient carcinoma (showing frequently non-descript basaloid, and less frequently eosinophilic, oncocytoid or rhabdoid undifferentiated morphology), SMARCB1-deficient adenocarcinomas (showing variable gland formation or yolk sac-like morphology), SMARCA4-deficient carcinoma (lacking any differentiation markers and variably overlapping with large cell neuroendocrine carcinoma and SNUC), and lastly, SMARCA4-deficient sinonasal teratocarcinosarcoma. These different tumor types display highly variable immunophenotypes with SMARCB1-deficient carcinomas showing variable squamous immunophenotype, while their SMARCA4-related counterparts lack such features altogether. While sharing same genetic defect, convincing evidence is still lacking that SMARCA4-deficient carcinoma and SMARCA4-deficient teratocracinosarcoma might belong to the spectrum of same entity. Available molecular studies revealed no additional drivers in these entities, confirming the central role of SWI/SNF deficiency as the sole driver genetic event in these aggressive malignancies. Notably, all studied cases lacked oncogenic IDH2 mutations characteristic of genuine SNUC. Identification and precise classification of these entities and separating them from SNUC, NUT carcinoma and other poorly differentiated neoplasms of epithelial melanocytic, hematolymphoid or mesenchymal origin is mandatory for appropriate prognostication and tailored therapies. Moreover, drugs targeting the SWI/SNF vulnerabilities are emerging in clinical trials.
Prediction of irrigation water quality indices based on machine learning and regression models
Authors: Mokhtar Ali , Elbeltagi Ahmed , Gyasi-Agyei Yeboah , Al-Ansari Nadhir , Abdel-Fattah Mohamed K. 
Published: March 2022

AbstractAssessing irrigation water quality is one of the most critical challenges in improving water resource management strategies. The objective of this work was to predict the irrigation water quality index of the Bahr El-Baqr, Egypt, based on non-expensive approaches that requires simple parameters. To achieve this goal, three artificial intelligence (AI) models (Support vector machine, SVM; extreme gradient boosting, XGB; Random Forest, RF) and four multiple regression models (Stepwise Regression, SW; Principal Components Regression, PCR; Partial least squares regression, PLS; Ordinary least squares regression, OLS) were applied and validated for predicting six irrigation water quality criteria (soluble sodium percentage, SSP; sodium adsorption ratio, SAR; residual sodium carbonate, RSC; potential of salinity, PS; permeability index, PI; Kelly’s ratio, KR). Electrical conductivity (EC), sodium (Na+), calcium (Ca2+) and bicarbonate (HCO3−) were used as input exploratory variables for the models. The results indicated the water source is not suitable for irrigation without treatment. A good soil drainage system and salinity control measures are required to avoid salt accumulation within the soil. Based on the performance statistics of the root mean square error (RMSE) and the scatter index (SI), SW emerged as the best (0.21% and 0.03%) followed by PCR and PLS with RMSE 0.22% and 0.21% for SAR, respectively. Based on the classification of the SI, all models applied having values less than 0.1 indicate good prediction performance for all the indices except RSC. These results highlight potential of using multiple regressions and the developed machine learning methods in predicting the index of irrigation water quality, and can be rapid decision tools for modelling irrigation water quality.
Characterizing Organizational Lifecycle through Strategic and Structural Flexibility: Insights from MSMEs in Mexico
Authors: Angeles Adrianela , Perez-Encinas Adriana , Villanueva Cristian E. 
Published: March 2022

AbstractToday’s lifespan of companies tends to be low in the so-called micro-, small-, and medium-sized enterprises (MSMEs). Organizational life cycle (OLC) theory indicates that organizational aging is related, but not determined, by the firm chronological age or its size. Therefore, a firm’s aging should be analyzed by other factors such as flexibility. The literature considers flexibility as an essential capability, a source of competitive advantage, and an enabler of long-term growth for MSMEs. However, little attention in emerging economies has been paid to examine the nuances of this concept in relation to the OLC in this type of companies. Additionally, studies tend to analyze flexibility as a general term, ignoring that it is a polymorphic concept. That is why there is a need to research the different categories of flexibility. Drawing on a quantitative approach conducting a factor analysis, a two-step cluster, and decision tree analysis to interrogate data from 257 MSMEs in Mexico, this study provides evidence of different dimensions of strategic and structural flexibility that help to characterize and predict the growth, maturity, and declining stages of MSMEs. Our results show that mature firms present more strategic and structural flexible characteristics than those involved in growth or decline stages. The flexible factors that help classify and predict an MSME in the maturity stage include open communication, decentralized decision making, and formalization. We provide a model with these results to illuminate unaddressed issues regarding the broad term of flexibility and its relationship to OLC.
Graph Compression for Adjacency-Matrix Multiplication
Authors: Francisco Alexandre P. , Gagie Travis , Köppl Dominik , Ladra Susana , Navarro Gonzalo 
Published: March 2022

AbstractComputing the product of the (binary) adjacency matrix of a large graph with a real-valued vector is an important operation that lies at the heart of various graph analysis tasks, such as computing PageRank. In this paper, we show that some well-known webgraph and social graph compression formats are computation-friendly, in the sense that they allow boosting the computation. We focus on the compressed representations of (a) Boldi and Vigna and (b) Hernández and Navarro, and show that the product computation can be conducted in time proportional to the compressed graph size. Our experimental results show speedups of at least 2 on graphs that were compressed at least 5 times with respect to the original.
Towards AI ethics’ institutionalization: knowledge bridges from business ethics to advance organizational AI ethics
Authors: Schultz Mario D. , Seele Peter 
Published: March 2022

AbstractThis paper proposes to generate awareness for developing Artificial intelligence (AI) ethics by transferring knowledge from other fields of applied ethics, particularly from business ethics, stressing the role of organizations and processes of institutionalization. With the rapid development of AI systems in recent years, a new and thriving discourse on AI ethics has (re-)emerged, dealing primarily with ethical concepts, theories, and application contexts. We argue that business ethics insights may generate positive knowledge spillovers for AI ethics, given that debates on ethical and social responsibilities have been adopted as voluntary or mandatory regulations for organizations in both national and transnational contexts. Thus, business ethics may transfer knowledge from five core topics and concepts researched and institutionalized to AI ethics: (1) stakeholder management, (2) standardized reporting, (3) corporate governance and regulation, (4) curriculum accreditation, and as a unified topic (5) AI ethics washing derived from greenwashing. In outlining each of these five knowledge bridges, we illustrate current challenges in AI ethics and potential insights from business ethics that may advance the current debate. At the same time, we hold that business ethics can learn from AI ethics in catching up with the digital transformation, allowing for cross-fertilization between the two fields. Future debates in both disciplines of applied ethics may benefit from dialog and cross-fertilization, meant to strengthen the ethical depth and prevent ethics washing or, even worse, ethics bashing.
Dynamic Behavior of Magnetic Bearing System Under Narrow-Band Excitation
Authors: Ma Shaojuan , Wang Jing , Bai Xinyu , Liu Qiyi 
Published: March 2022

AbstractThe purpose of this paper is to investigate the vibration characteristics and motion of random magnetic bearing systems with narrow band noise. Firstly, the multiple scale method is used to obtain the averaged equations. Secondly, it is found that there exist different motions with the various excitation forces and permeability values by the bifurcation diagram and maximum Lyapunov exponent based on the resulting average equations. Finally, the influence of narrow-band excitation on magnetic bearings is verified, and the conclusion shows that the thickness of the limit cycle increases gradually as the bandwidth of narrow-band excitation changes in a small range.