LLukas22/scidocs huggingface dataset:
Using the domain analytical approach in the study of information practices in biomedicine

Purpose – The purpose of this paper is to analyze the information practices of the researchers in biomedicine using the domain analytical approach. Design/methodology/approach – The domain analytical research approach used in the study of the scientific domain of biomedicine leads to studies into the organization of sciences. By using Whitley’s dimensions of “mutual dependence” and “task uncertainty” in scientific work as a starting point the authors were able to reanalyze previously collected data. By opening up these concepts in the biomedical research work context, the authors analyzed the distinguishing features of the biomedical domain and the way these features affected researchers’ information practices. Findings – Several indicators representing “task uncertainty” and “mutual dependence” in the scientific domain of biomedicine were identified. This study supports the view that in biomedicine the task uncertainty is low and researchers are mutually highly dependent on each other. Hard competition seems to be one feature, which is behind the explosion of the data and publications in this domain. This fact, on its part is directly related to the ways information is searched, followed, used and produced. The need for new easy to use services or tools for searching and following information in so called “hot” topics came apparent. Originality/value – The study highlights new information about information practices in the biomedical domain. Whitley’s theory enabled a thorough analysis of the cultural and social nature of the biomedical domain and it proved to be useful in the examination of researchers’ information practices.
Family routines and rituals: a context for occupational therapy interventions.

PURPOSE
This paper explores the importance of family daily routines and rituals for the family's functioning and sense of identity.


METHODS
The findings of this paper are derived from an analysis of the morning routines of 40 families with children with disabilities in the United States and Canada. The participants lived in urban and rural areas. Forty of the 49 participants were mothers and the majority of the families were of European descent. Between one and four interviews were conducted with each participant. Topics included the family's story, daily routines, and particular occupations. Data on the morning routines of the families were analyzed for order and affective and symbolic meaning using a narrative approach.


FINDINGS
The findings are presented as narratives of morning activities in five families. These narratives are examples for rituals, routines, and the absence of a routine. Rituals are discussed in terms of their affective and symbolic qualities, routines are discussed in terms of the order they give to family life, whereas the lack of family routine is discussed in terms of lack of order in the family.


CONCLUSIONS
Family routines and rituals are organizational and meaning systems that may affect family's ability to adapt them.
Environmental Regulations and Economic Activity: Influence on Market Structure

We survey recent developments in the theoretical and empirical literature on the economic effects of environmental regulation on various aspects of market structure including entry, exit, and size distribution of firms and market concentration.
Antihypertensive treatment and change in blood pressure are associated with the progression of white matter lesion volumes: the Three-City (3C)-Dijon Magnetic Resonance Imaging Study.

BACKGROUND
Blood pressure (BP) is recognized as a major risk factor for white matter lesions (WMLs), but longitudinal data are scarce, and there is insufficient evidence for the benefit of antihypertensive therapy on WML progression. We studied the relationship between BP change and WML volume progression over time in a sample of 1319 elderly individuals who had 2 cerebral magnetic resonance imaging examinations 4 years apart. We also examined the impact of antihypertensive treatment on WML progression.


METHODS AND RESULTS
Subjects were participants from the Three-City (3C)-Dijon Magnetic Resonance Imaging Study, a prospective population-based cohort of elderly ≥ 65 years of age. WML volumes and their progression were estimated with the use of a fully automatic procedure. We performed ANCOVA models first to assess the association between BP change and WML progression and second to estimate the relation between antihypertensive treatment and WML load progression. Baseline and change in BP were significant predictors of higher WML progression over time after controlling for potential confounders. Among subjects with high SBP (≥ 160 mm Hg) at baseline not treated by antihypertensive medication, antihypertensive treatment started within 2 years was related to a smaller increase in WML volume at a 4-year follow-up (0.24 cm³; SE=0.44 cm³) than no hypertensive treatment (1.60 cm³; SE = 0.26 cm³; P = 0.0008) on multivariable modeling.


CONCLUSIONS
Our findings reinforce the hypothesis that hypertension is a strong predictor of WML and that adequate treatment may reduce the course of WML progression. Because WMLs are linked to both dementia and stroke risks, these results could have implications for future preventive trials.
The geometry of differential privacy: the sparse and approximate cases

We study trade-offs between accuracy and privacy in the context of linear queries over histograms. This is a rich class of queries that includes contingency tables and range queries and has been the focus of a long line of work. For a given set of d linear queries over a database x ∈ RN, we seek to find the differentially private mechanism that has the minimum mean squared error. For pure differential privacy, [5, 32] give an O(log2 d) approximation to the optimal mechanism. Our first contribution is to give an efficient O(log2 d) approximation guarantee for the case of (ε,δ)-differential privacy. Our mechanism adds carefully chosen correlated Gaussian noise to the answers. We prove its approximation guarantee relative to the hereditary discrepancy lower bound of [44], using tools from convex geometry. We next consider the sparse case when the number of queries exceeds the number of individuals in the database, i.e. when d > n Δ |x|1. The lower bounds used in the previous approximation algorithm no longer apply --- in fact better mechanisms are known in this setting [7, 27, 28, 31, 49]. Our second main contribution is to give an efficient (ε,δ)-differentially private mechanism that, for any given query set A and an upper bound n on |x|1, has mean squared error within polylog(d,N) of the optimal for A and n. This approximation is achieved by coupling the Gaussian noise addition approach with linear regression over the l1 ball. Additionally, we show a similar polylogarithmic approximation guarantee for the optimal ε-differentially private mechanism in this sparse setting. Our work also shows that for arbitrary counting queries, i.e. A with entries in {0,1}, there is an ε-differentially private mechanism with expected error ~O(√n) per query, improving on the ~O(n2/3) bound of [7] and matching the lower bound implied by [15] up to logarithmic factors.
 The connection between the hereditary discrepancy and the privacy mechanism enables us to derive the first polylogarithmic approximation to the hereditary discrepancy of a matrix A.
A Direct Search Method for Worst Case Analysis and Yield Optimization of Integrated Circuits

Yield maximization is an important aspect in the design of integrated circuits. A prerequisite for its automation is a reliable and fast worst performance analysis which results in corners that can be used in the process of circuit optimization. We formulate the constrained optimization problem for finding the worst performance of an integrated circuit and develop a direct search method for solving it. The algorithm uses radial steps and rotations for enforcing the inequality constraint. We demonstrate the performance of the proposed algorithm on real world design examples of integrated circuits. The results indicate that the algorithm solves the worst performance problem in an efficient manner. The proposed algorithm was also successfully used in the process of yield maximization, resulting in a 99.65% yield.
Strong effects of ionizing radiation from Chernobyl on mutation rates

In this paper we use a meta-analysis to examine the relationship between radiation and mutation rates in Chernobyl across 45 published studies, covering 30 species. Overall effect size of radiation on mutation rates estimated as Pearson's product-moment correlation coefficient was very large (E = 0.67; 95% confidence intervals (CI) 0.59 to 0.73), accounting for 44.3% of the total variance in an unstructured random-effects model. Fail-safe calculations reflecting the number of unpublished null results needed to eliminate this average effect size showed the extreme robustness of this finding (Rosenberg's method: 4135 at p = 0.05). Indirect tests did not provide any evidence of publication bias. The effect of radiation on mutations varied among taxa, with plants showing a larger effect than animals. Humans were shown to have intermediate sensitivity of mutations to radiation compared to other species. Effect size did not decrease over time, providing no evidence for an improvement in environmental conditions. The surprisingly high mean effect size suggests a strong impact of radioactive contamination on individual fitness in current and future generations, with potentially significant population-level consequences, even beyond the area contaminated with radioactive material.
A contemporary evaluation of surgical outcome in neonates and infants undergoing lung resection.

BACKGROUND/PURPOSE
The timing and need of resection of asymptomatic congenital lung lesions are controversial. The morbidity of such surgery needs to be considered in the decision analysis. We analyzed the contemporary outcome of infants and neonates undergoing lung resection.


METHODS
With institutional review board approval, all patients 12 months or younger undergoing lung resection between 1995 and 2004 in 2 hospitals were reviewed. Demographic data, indications for surgery, operative procedure, complications, use of regional anesthesia, length of stay (LOS), and follow-up were assessed.


RESULTS
Forty-five patients (28 male, 17 female) with a median age of 4 months (2 days-12 months) were evaluated. Congenital lesions (42) were the most frequent indication for surgery. Twenty-two (48.9%) patients had cardiorespiratory symptoms or infection preoperatively. Lobectomy was the most common operation (40/45). Three patients had intraoperative difficulty (bleeding, hypotension, desaturation). Significant postoperative complications occurred in 7 patients: prolonged air leak or chest tube drainage (4), anemia or bleeding (2), respiratory distress requiring reintubation (1). Fewer complications occurred in asymptomatic vs symptomatic patients (1/23 vs 6/22). Of 12 patients, 7 (58%) requiring 24 hours of ventilation or longer were 3 months or younger. Increasing age did significantly influence the chance of successful extubation (P = .01; odds ratio, 1.5; 95% confidence interval, 1.0-2.0), as did the use of epidural anesthesia (P < .001). Median LOS was 6 days (2-89 days). Asymptomatic patients had shorter LOS (median, 4 days; range, 2-20 days; P = .024) vs symptomatic patients (median, 8 days; range, 4-89 days). The only death occurred from underlying heart disease. Mean follow-up at 35 months (12-132 months) revealed no subjective reduction in cardiopulmonary function.


CONCLUSIONS
Lung resection is safe and well tolerated in infancy. Surgery should be scheduled before the development of symptoms but likely after 3 months of age to improve the chances of postoperative extubation. The use of regional anesthesia may facilitate this.
Big data and industrial Internet of Things for the maritime industry in Northwestern Norway

Big Data Analytics (BDA) and Internet of Things (IoT) are rising quickly. The recent emerging Industrial IoT (IIoT), a sub-paradigm of IoT, focuses more in safety-critical industrial applications. Studies showed that the adoption of BDA increase companies' output and productivity; IoT enables companies to have more information and control in physical resources, processes, and environments; BDA and IIoT complement each other and develop as a double “helix”. In this position paper, we briefly review the opportunities and challenges in this era of big data and IoT for the Møre maritime cluster; then we propose a new framework integrating BDA and IIoT technologies for offshore support vessels (OSVs) based on a hybrid CPU/GPU/FPGA1 high performance computing platform. We believe that such a framework, when implemented, can help maritime companies increase their output and productivity, and hence enable the whole cluster to continue to be a leader in the global maritime industry.
Fears of compassion: development of three self-report measures.

OBJECTIVES
There is increasing evidence that helping people develop compassion for themselves and others has powerful impacts on negative affect and promotes positive affect. However, clinical observations suggest that some individuals, particularly those high in self-criticism, can find self-compassion and receiving compassion difficult and can be fearful of it. This study therefore developed measures of fear of: compassion for others, compassion from others, and compassion for self. We also explored the relationship of these fears with established compassion for self and compassion for others measures, self-criticism, attachment styles, and depression, anxiety, and stress.


METHOD
Students (N= 222) and therapists (N= 53) completed measures of fears of compassion, self-compassion, compassion for others, self-criticism, adult attachment, and psychopathology.


RESULTS
Fear of compassion for self was linked to fear of compassion from others, and both were associated with self-coldness, self-criticism, insecure attachment, and depression, anxiety, and stress. In a multiple regression, self-criticism was the only significant predictor of depression.


CONCLUSION
This study suggests the importance of exploring how and why some people may actively resist engaging in compassionate experiences or behaviours and be fearful of affiliative emotions in general. This has important implications for therapeutic interventions and the therapeutic relationship because affiliative emotions are major regulators of threat-based emotions.
Speed-based supercapacitor state of charge tracker for light railway vehicles

The paper suggests a supercapacitor control for light railway vehicles based on the tracking of the actual train speed. Different configurations in terms of storage capacity and braking resistance power are presented and compared. The proposed control algorithm evaluates analytically the supercapacitor reference current on the basis of the actual train kinetic energy, taking properly into account the efficiencies of the different subsystems. Therefore, on the basis of the size selected for the storage device, the control is capable of recovering the electrical energy during the braking of the train for recharging completely the supercapacitor units and dissipating the extra energy on the braking resistor. Realistic railway vehicle operations are presented by means of numerical simulations referring to different configurations of storage device and braking resistors. The results obtained show that the control is very effective in all the cases considered and that the final choice of the storage size is a trade-off between energy saving and equipment cost.
Phase III Prospective Randomized Comparison Trial of Depot Octreotide Plus Interferon Alfa-2b Versus Depot Octreotide Plus Bevacizumab in Patients With Advanced Carcinoid Tumors: SWOG S0518.

Purpose Treatment options for neuroendocrine tumors (NETs) remain limited. This trial assessed the progression-free survival (PFS) of bevacizumab or interferon alfa-2b (IFN-α-2b) added to octreotide among patients with advanced NETs. Patients and Methods Southwest Oncology Group (SWOG) S0518, a phase III study conducted in a US cooperative group system, enrolled patients with advanced grades 1 and 2 NETs with progressive disease or other poor prognostic features. Patients were randomly assigned to treatment with octreotide LAR 20 mg every 21 days with either bevacizumab 15 mg/kg every 21 days or 5 million units of IFN-α-2b three times per week. The primary end point was centrally assessed PFS. This trial is registered with ClinicalTrials.gov as NCT00569127. Results A total of 427 patients was enrolled, of whom 214 were allocated to bevacizumab and 213 to IFN-α-2b. The median PFS by central review was 16.6 months (95% CI, 12.9 to 19.6 months) in the bevacizumab arm and was 15.4 months (95% CI, 9.6 to 18.6 months) in the IFN arm (hazard ratio [HR], 0.93; 95% CI, 0.73 to 1.18; P = .55). By site review, the median PFS times were 15.4 months (95% CI, 12.6 to 17.2 months) for bevacizumab and 10.6 months (95% CI, 8.5 to 14.4 months) for interferon (HR, 0.90; 95% CI, 0.72 to 1.12; P = .33). Time to treatment failure was longer with bevacizumab than with IFN (HR, 0.72; 95% CI, 0.58 to 0.89; P = .003). Confirmed radiologic response rates were 12% (95% CI, 8% to 18%) for bevacizumab and 4% (95% CI, 2% to 8%) for IFN. Common adverse events with bevacizumab and octreotide included hypertension (32%), proteinuria (9%), and fatigue (7%); with IFN and octreotide, they included fatigue (27%), neutropenia (12%), and nausea (6%). Conclusion No significant differences in PFS were observed between the bevacizumab and IFN arms, which suggests that these agents have similar antitumor activity among patients with advanced NETs.
Formality of Language : definition , measurement and behavioral determinants

A new concept of formality of linguistic expressions is introduced and argued to be the most important dimension of variation between styles or registers. Formality is subdivided into "deep" formality and "surface" formality. Deep formality is defined as avoidance of ambiguity by minimizing the context-dependence and fuzziness of expressions. This is achieved by explicit and precise description of the elements of the context needed to disambiguate the expression. A formal style is characterized by detachment, accuracy, rigidity and heaviness; an informal style is more flexible, direct, implicit, and involved, but less informative. An empirical measure of formality, the F-score, is proposed, based on the frequencies of different word classes in the corpus. Nouns, adjectives, articles and prepositions are more frequent in formal styles; pronouns, adverbs, verbs and interjections are more frequent in informal styles. It is shown that this measure, though coarse-grained, adequately distinguishes more from less formal genres of language production, for some available corpora in Dutch, French, Italian, and English. A factor similar to the F-score automatically emerges as the most important one from factor analyses applied to extensive data in 7 different languages. Different situational and personality factors are examined which determine the degree of formality in linguistic expression. It is proposed that formality becomes larger when the distance in space, time or background between the interlocutors increases, and when the speaker is male, introverted or academically educated. Some empirical evidence and a preliminary theoretical explanation for these propositions is discussed. Short Abstract: The concept of "deep" formality is proposed as the most important dimension of variation between language registers or styles. It is defined as avoidance of ambiguity by minimizing the context-dependence and fuzziness of expressions. An empirical measure, the F-score, is proposed, based on the frequencies of different word classes. This measure adequately distinguishes different genres of language production using data for Dutch, French, Italian, and English. Factor analyses applied to data in 7 different languages produce a similar factor as the most important one. Both the data and the theoretical model suggest that formality increases when the distance in space, time or background between the interlocutors increases, and when the speaker is male, introverted or academically educated.
Establishing pairwise keys in distributed sensor networks

Pairwise key establishment is a fundamental security service in sensor networks; it enables sensor nodes to communicate securely with each other using cryptographic techniques. However, due to the resource constraints on sensors, it is infeasible to use traditional key management techniques such as public key cryptography and key distribution center (KDC). To facilitate the study of novel pairwise key predistribution techniques, this paper presents a general framework for establishing pairwise keys between sensors on the basis of a polynomial-based key predistribution protocol [2]. This paper then presents two efficient instantiations of the general framework: a random subset assignment key predistribution scheme and a grid-based key predistribution scheme. The analysis in this paper indicates that these two schemes have a number of nice properties, including high probability (or guarantee) to establish pairwise keys, tolerance of node captures, and low communication overhead. Finally, this paper presents a technique to reduce the computation at sensors required by these schemes.
Student Writing as 'Academic Literacies': Drawing on Bakhtin to Move from Critique to Design

A body of research has recently emerged in the UK which adopts an ‘academic literacies’ stance towards student writing. An ‘academic literacies’ stance conceptualises student writing as a socially situated discourse practice which is ideologically inscribed (Jones et al., 1999; Lea & Street, 1998). Whilst powerful as an oppositional frame, that is as a critique of current conceptualisations and practices surrounding student writing, academic literacies has yet to be developed as a design frame (Kress, 1998, 2000) which can actively contribute to student writing pedagogy as both theory and practice. My aim in this paper is to work towards opening up a design space built on academic literacies critique. To do so, I draw on Bakhtin’s work on dialogism (Bakhtin, 1981, 1984)and my research with a group of ‘non-traditional’ student-writers and their specific experiences of academic writing within a number of academic disciplines (Lillis, 2001). I map out the different levels of dialogism in Bakhtin’s work and illustratethe way these are,and are not, enacted currently in student writing pedagogy. I conclude by callingfor dialogue, ratherthan monologue or dialectic,to be at the centre of an academic literacies stance and briefly outline some design implications of a dialogic approach to student writing pedagogy.
TimeNotes: A Study on Effective Chart Visualization and Interaction Techniques for Time-Series Data

Collecting sensor data results in large temporal data sets which need to be visualized, analyzed, and presented. One-dimensional time-series charts are used, but these present problems when screen resolution is small in comparison to the data. This can result in severe over-plotting, giving rise for the requirement to provide effective rendering and methods to allow interaction with the detailed data. Common solutions can be categorized as multi-scale representations, frequency based, and lens based interaction techniques. In this paper, we comparatively evaluate existing methods, such as Stack Zoom [15] and ChronoLenses [38], giving a graphical overview of each and classifying their ability to explore and interact with data. We propose new visualizations and other extensions to the existing approaches. We undertake and report an empirical study and a field study using these techniques.