bluuebunny/crossref_metadata_2025_split huggingface dataset:
Natural Rock Fractures: From Aperture to Fluid Flow
Authors: Cardona Alejandro , Finkbeiner Thomas , Santamarina J. Carlos 
Published: August 2021

AbstractFractures provide preferential flow paths and establish the internal “plumbing” of the rock mass. Fracture surface roughness and the matedness between surfaces combine to delineate the fracture geometric aperture. New and published measurements show the inherent relation between roughness wavelength and amplitude. In fact, data cluster along a power trend consistent with fractal topography. Synthetic fractal surfaces created using this power law, kinematic constraints and contact mechanics are used to explore the evolution of aperture size distribution during normal loading and shear displacement. Results show that increments in normal stress shift the Gaussian aperture size distribution toward smaller apertures. On the other hand, shear displacements do not affect the aperture size distribution of unmated fractures; however, the aperture mean and standard deviation increase with shear displacement in initially mated fractures. We demonstrate that the cubic law is locally valid when fracture roughness follows the observed power law and allows for efficient numerical analyses of transmissivity. Simulations show that flow trajectories redistribute and flow channeling becomes more pronounced with increasing normal stress. Shear displacement induces early aperture anisotropy in initially mated fractures as contact points detach transversely to the shear direction; however, anisotropy decreases as fractures become unmated after large shear displacements. Radial transmissivity measurements obtained using a torsional ring shear device and data gathered from the literature support the development of robust phenomenological models that satisfy asymptotic trends. A power function accurately captures the evolution of transmissivity with normal stress, while a logistic function represents changes with shear displacement. A complementary hydro-chemo-mechanical study shows that positive feedback during reactive fluid flow heightens channeling.
Selectivity of a bromoacridine-containing fluorophore for triplex DNA
Authors: Sharma Sanjeev Kumar , Fraser William 
Published: August 2021

AbstractFluorophore 1,8-naphthilamide was linked to 2-bromoacridine through an ethylenediamine spacer using a succinct synthetic route to give a bromoacridine-linked, bifunctional fluorophore conjugate for the detection of triplex DNA. Acridine is well known to intercalate into duplex DNA whereas introduction of a bulky bromine atom at position C2 redirects specificity for triplex over duplex DNA. In this work, photoelectron transfer assay was used to demonstrate that the synthesised 2-bromoacridine-linked fluorophore conjugate had good selectivity for the representative triplex DNA target sequence d(T*A.T)20 compared with double-stranded d(T.A)20, single-stranded dT20 or d(G/A)19 DNA sequences.
Graphic abstract
A simplified methodology: pH sensing using an in situ fabricated Ir electrode under neutral conditions
Authors: Chen Yuqi , Li Xiuting , Li Danlei , Batchelor-McAuley Christopher , Compton Richard G. 
Published: August 2021

AbstractHerein, a simplified fabrication method for the producing of a pH-sensitive iridium electrode is developed. The in situ electrochemical fabrication of an iridium oxide film is optimized and shown to be achievable under neutral conditions rather than the acidic conditions hitherto employed. The formation of a pH sensitive Ir(III/IV) hydrous film is confirmed via XPS. The amperometric pH-sensing properties of this electrochemically generated material were investigated using square wave voltammetry. In the pH range 2–13, the iridium oxide redox signal has a pH dependency of 86.1 ± 1.1 mV per pH unit for midpoint potentials with uncertainties being ± 0.01–0.05 pH. Finally, the newly developed pH sensor was used to measure the pH of a natural water sample with excellent results as compared to a conventional glass pH probe.
Job satisfaction among physicians and nurses involved in the management of multiple sclerosis: the role of happiness and meaning at work
Authors: Negri Luca , Cilia Sabina , Falautano Monica , Grobberio Monica , Niccolai Claudia , Pattini Marianna , Pietrolongo Erika , Quartuccio Maria Esmeralda , Viterbo Rosa Gemma , Allegri Beatrice , Amato Maria Pia , Benin Miriam , De Luca Giovanna , Gasperini Claudio , Minacapelli Eleonora , Patti Francesco , Trojano Maria , Bassi Marta 
Published: August 2021

Abstract
Objective
Health professionals caring for persons with multiple sclerosis (MS) are faced with increasingly complex working conditions that can undermine their job satisfaction and the quality of their healthcare services. The aim of this study was to delve into health professionals’ job satisfaction by assessing the predictive role of happiness and meaning at work. Specifically, it was hypothesized that job meaning would moderate the relationship between job happiness and satisfaction.

Methods
The study hypothesis was tested among 108 healthcare professionals (53 physicians and 55 nurses) working in eight MS centers in Italy. Participants were administered the Eudaimonic and Hedonic Happiness Investigation and the Job Satisfaction Questionnaire. Hierarchical regression analysis was performed to test the moderating role of job meaning between job happiness and satisfaction.

Results
A significant interaction effect of job happiness and meaning on job satisfaction was identified for both physicians and nurses. When work was attributed low meaning, participants experiencing high job happiness were more satisfied with their work than those reporting low happiness; by contrast, when work was perceived as highly meaningful, participants’ levels of job happiness did not significantly contribute to job satisfaction.

Conclusions
Focusing on the interplay between job happiness and meaning, findings bring forward practical suggestions for the preservation and promotion of job satisfaction among health professionals working with MS patients. Particularly, they suggest the need to strengthen those job-related aspects that may enhance job meaning, thus providing health professionals with significant reasons to persevere in their work in the face of daily challenges.
Evaluation of CHROMagar™-Serratia agar, a new chromogenic medium for the detection and isolation of Serratia marcescens
Authors: Pérez-Viso Blanca , Aracil-Gisbert Sonia , Coque Teresa M. , del Campo Rosa , Ruiz-Garbajosa Patricia , Cantón Rafael 
Published: August 2021

AbstractA comparative analysis of the performance of the new selective chromogenic CHROMagar™-Serratia culture medium for detection and isolation ofSerratia marcescenswas undertaken. A total of 134 clinical isolates (95S. marcescenswith and without carbapenemase production and 39 non-S. marcescensisolates) and 96 epidemiological samples (46 rectal swabs and 50 from environmental surfaces) were studied. Diagnostic values when compared with CHROMagar™-Orientation medium were 96.8% sensitivity, 100% specificity, 100% positive predictive value and 88.5% negative predictive value. In conclusion, CHROMagar™-Serratia shows an excellent ability for differentiation ofS. marcescensamong clinical isolates and in environmental samples.
Sex differences in tumor characteristics, treatment, and outcomes of gastric and esophageal cancer surgery: nationwide cohort data from the Dutch Upper GI Cancer Audit
Authors: Kalff Marianne C. , Wagner Anna D. , Verhoeven Rob H. A. , Lemmens Valery E. P. P. , van Laarhoven Hanneke W. M. , Gisbertz Suzanne S. , van Berge Henegouwen Mark I. ,   the Dutch Upper GI Cancer Audit group
Published: August 2021

Abstract
Background
Sex differences in clinicopathological characteristics, treatment, and postoperative outcomes of gastric and esophageal cancer are largely undefined. This study aimed to compare tumor and treatment characteristics and outcomes of gastric and esophageal cancer surgery between male and female patients.

Methods
Patients after elective surgery for primary esophageal (EAC) or gastric adenocarcinoma (GAC) registered in the Dutch Upper GI Cancer Audit between 2011 and 2016 were included. The primary endpoint, 5-year relative survival with relative excess risk (RER), i.e., adjusted for the normal life expectancy, was compared between male and female patients with EAC and GAC.

Results
In total, 4937 patients were included (75% male) with a mean age of 66 years. cT and cN-stages showed a similar distribution in male and female patients. In females, antrum GAC was more frequent (47% vs. 38%, p < 0.001). Female patients with EAC less frequently received neo-adjuvant treatment (OR = 0.60, 95% CI 0.38–0.96, p = 0.033). For GAC, less postoperative morbidity (33% vs. 38% p = 0.017) and less re-interventions (12% vs. 16%, p = 0.008) were observed in females, although they had inferior 5-year relative survival (49% vs. 56%, RER = 1.31, 95% CI 1.09–1.58, p = 0.004). No differences in relative survival of EAC were observed.

Conclusions
In addition to significant sex differences in tumor location, female patients with esophageal adenocarcinoma less frequently received neo-adjuvant therapy, and female patients with gastric adenocarcinoma had inferior relative survival. Further consideration and exploration of sex differences in surgical treatment and outcomes are necessary to improve tailored treatment and outcomes.
Association of initial prednisolone dose with remission, relapse, and infectious complications in adult-onset minimal change disease
Authors: Tanabe Kaori , Samejima Ken-ichi , Fukata Fumihiro , Kosugi Takaaki , Tsushima Hideo , Morimoto Katsuhiko , Okamoto Keisuke , Matsui Masaru , Eriguchi Masahiro , Maruyama Naoki , Akai Yasuhiro , Tsuruya Kazuhiko 
Published: August 2021

Abstract
Background
A dose of 0.5–1 mg/kg/day of prednisolone (PSL) is administered for the initial treatment of minimal change disease (MCD). However, little is known about the optimal PSL dose for the initial treatment of MCD.

Methods
We conducted a retrospective multicenter cohort study of treatment-naive adult patients with MCD diagnosed by renal biopsy from 1981 to 2015 in whom PSL monotherapy was performed as the initial treatment. The exposure of interest was an initial median PSL dose of < 0.63 mg/kg/day (Group L) compared to ≥ 0.63 mg/kg/day (Group H). Cumulative remission and relapse after remission were compared between these groups using Cox regression adjusted for baseline characteristics.

Results
Ninety-one patients met the inclusion criteria. During a median follow-up of 2.98 years, 87 (95.6%) patients achieved complete remission, and 47.1% relapsed after remission. There was no significant difference in the remission rate between the groups at 4 weeks of follow-up (66.7 vs. 82.6%). The median time to remission in Group L was comparable to that in Group H (17.0 vs. 14.0 days). A multivariable Cox hazard model revealed that the initial PSL dose was not a significant predictor of remission. The cumulative steroid doses at 6 months, 1 year, and 2 years after treatment initiation were significantly lower in Group L than in Group H.

Conclusion
The initial PSL dose was not associated with time to remission, remission rate, time to relapse, or relapse rate. Therefore, a low initial steroid dose may be sufficient to achieve remission.
Improving the Quality of Children’s Mental Health Care with Progress Measures: A Mixed-Methods Study of PCIT Therapist Attitudes
Authors: Klein Corinna C. , Luis Sanchez B. Erika , Barnett Miya L. 
Published: August 2021

AbstractProgress measures are an evidence-based technique for improving the quality of mental health care, however, clinicians rarely incorporate them into treatment. Research into how measure type impacts clinician preference has been recommended to help improve measure implementation. Parent–Child Interaction Therapy (PCIT) is an assessment-driven treatment that serves as an ideal intervention through which to investigate measure preferences given its routine use of two types of assessments, a behavioral observation (the Dyadic Parent–Child Interaction Coding System) and a parent-report measure (the Eyberg Child Behavior Inventory). This study investigated PCIT therapist attitudes towards progress measures used within PCIT and children’s mental health treatment generally. A mixed-method (QUAN + QUAL) study design examined PCIT therapist attitudes towards two types of progress measures and measures used in two contexts (PCIT and general practice). Multi-level modeling of a survey distributed to 324 PCIT therapists identified predictors of therapist attitudes towards measures, while qualitative interviews with 23 therapists expanded and clarified the rationale for differing perceptions. PCIT therapists reported more positive attitudes towards a behavioral observation measure, the DPICS, than a parent-report measure, the ECBI, and towards measures used in PCIT than in general practice. Clinician race/ethnicity was significantly related to measure-specific attitudes. Qualitative interviews highlighted how perceptions of measure reliability, type of data offered, ease of use, utility in guiding sessions and motivating clients, and embeddedness in treatment protocol impact therapist preferences. Efforts to implement progress monitoring should consider preferences for particular types of measures, as well as how therapists are trained to embed measures in treatment.
Reflective and transparent cellulose-based passive radiative coolers
Authors: Gamage Sampath , Banerjee Debashree , Alam Md. Mehebub , Hallberg Tomas , Åkerlind Christina , Sultana Ayesha , Shanker Ravi , Berggren Magnus , Crispin Xavier , Kariis Hans , Zhao Dan , Jonsson Magnus P. 
Published: August 2021

AbstractRadiative cooling passively removes heat from objects via emission of thermal radiation to cold space. Suitable radiative cooling materials absorb infrared light while they avoid solar heating by either reflecting or transmitting solar radiation, depending on the application. Here, we demonstrate a reflective radiative cooler and a transparent radiative cooler solely based on cellulose derivatives manufactured via electrospinning and casting, respectively. By modifying the microstructure of cellulose materials, we control the solar light interaction from highly reflective (> 90%, porous structure) to highly transparent (≈ 90%, homogenous structure). Both cellulose materials show high thermal emissivity and minimal solar absorption, making them suitable for daytime radiative cooling. Used as coatings on silicon samples exposed to sun light at daytime, the reflective and transparent cellulose coolers could passively reduce sample temperatures by up to 15 °C and 5 °C, respectively.
Accelerating distributed deep neural network training with pipelined MPI allreduce
Authors: Castelló Adrián , Quintana-Ortí Enrique S. , Duato José 
Published: August 2021

AbstractTensorFlow (TF) is usually combined with the Horovod (HVD) workload distribution package to obtain a parallel tool to train deep neural network on clusters of computers. HVD in turn utilizes a blocking Allreduce primitive to share information among processes, combined with a communication thread to overlap communication with computation. In this work, we perform a thorough experimental analysis to expose (1) the importance of selecting the best algorithm in MPI libraries to realize the Allreduce operation; and (2) the performance acceleration that can be attained when replacing a blocking Allreduce with its non-blocking counterpart (while maintaining the blocking behaviour via the appropriate synchronization mechanism). Furthermore, (3) we explore the benefits of applying pipelining to the communication exchange, demonstrating that these improvements carry over to distributed training via TF+HVD. Finally, (4) we show that pipelining can also boost performance for applications that make heavy use of other collectives, such as Broadcast and Reduce-Scatter.
Liftable vector fields, unfoldings and augmentations
Authors: Nuño-Ballesteros J. J. , Oset Sinha R. 
Published: August 2021

AbstractWe study liftable vector fields of smooth map-germs. We show how to obtain the module of liftable vector fields of any map-germ of finite singularity type from the module of liftable vector fields of a stable unfolding of it. As an application, we obtain the liftable vector fields for the family $$H_k$$

H
k

in Mond’s list. We then show the relation between the liftable vector fields of a stable germ and its augmentations.
Music emotion recognition using recurrent neural networks and pretrained models
Authors: Grekow Jacek 
Published: August 2021

AbstractThe article presents conducted experiments using recurrent neural networks for emotion detection in musical segments. Trained regression models were used to predict the continuous values of emotions on the axes of Russell’s circumplex model. A process of audio feature extraction and creating sequential data for learning networks with long short-term memory (LSTM) units is presented. Models were implemented using the WekaDeeplearning4j package and a number of experiments were carried out with data with different sets of features and varying segmentation. The usefulness of dividing the data into sequences as well as the point of using recurrent networks to recognize emotions in music, the results of which have even exceeded the SVM algorithm for regression, were demonstrated. The author analyzed the effect of the network structure and the set of used features on the results of the regressors recognizing values on two axes of the emotion model: arousal and valence. Finally, the use of a pretrained model for processing audio features and training a recurrent network with new sequences of features is presented.
PKT: fast color-based spatial model for human skin detection
Authors: Samson Grace L. , Lu Joan 
Published: August 2021

AbstractWe present a new detection method for color-based object detection, which can improve the performance of learning procedures in terms of speed, accuracy, and efficiency, using spatial inference, and algorithm. We applied the model to human skin detection from an image; however, the method can also work for other machine learning tasks involving image pixels. We propose (1) an improved RGB/HSL human skin color threshold to tackle darker human skin color detection problem. (2), we also present a new rule-based fast algorithm (packed k-dimensional tree --- PKT) that depends on an improved spatial structure for human skin/face detection from colored 2D images. We also implemented a novel packed quad-tree (PQT) to speed up the quad-tree performance in terms of indexing. We compared the proposed system to traditional pixel-by-pixel (PBP)/pixel-wise (PW) operation, and quadtree based procedures. The results show that our proposed spatial structure performs better (with a very low false hit rate, very high precision, and accuracy rate) than most state-of-the-art models.
Prevalence and determinants of intravenous admixture preparation errors: A prospective observational study in a university hospital
Authors: Jessurun Janique G. , Hunfeld Nicole G. M. , van Rosmalen Joost , van Dijk Monique , van den Bemt Patricia M. L. A. 
Published: August 2021

AbstractBackground Intravenous admixture preparation errors (IAPEs) may lead to patient harm. Insight into the prevalence as well as the determinants associated with these IAPEs is needed to elicit preventive measures. Aim The primary aim of this study was to assess the prevalence of IAPEs. Secondary aims were to identify the type, severity, and determinants of IAPEs. Method A prospective observational study was performed in a Dutch university hospital. IAPE data were collected by disguised observation. The primary outcome was the proportion of admixtures with one or more IAPEs. Descriptive statistics were used for the prevalence, type, and severity of IAPEs. Mixed-effects logistic regression analyses were used to estimate the determinants of IAPEs. Results A total of 533 IAPEs occurred in 367 of 614 admixtures (59.8%) prepared by nursing staff. The most prevalent errors were wrong preparation technique (n = 257) and wrong volume of infusion fluid (n = 107). Fifty-nine IAPEs (11.1%) were potentially harmful. The following variables were associated with IAPEs: multistep versus single-step preparations (adjusted odds ratio [ORadj] 4.08, 95% confidence interval [CI] 2.27–7.35); interruption versus no interruption (ORadj 2.32, CI 1.13–4.74); weekend versus weekdays (ORadj 2.12, CI 1.14–3.95); time window 2 p.m.-6 p.m. versus 7 a.m.-10 a.m. (ORadj 3.38, CI 1.60–7.15); and paediatric versus adult wards (ORadj 0.14, CI 0.06–0.37). Conclusion IAPEs, including harmful IAPEs, occurred frequently. The determinants associated with IAPEs point to factors associated with preparation complexity and working conditions. Strategies to reduce the occurrence of IAPEs and therefore patient harm should target the identified determinants.
Are Estimates of Rapid Growth in Urban Land Values an Artifact of the Land Residual Model?
Authors: Clapp John M. , Cohen Jeffrey P. , Lindenthal Thies 
Published: August 2021

AbstractSeparating urban land and structure values is important for national accounts and for analysis of real estate risk over time. A large part of the literature on urban land valuation uses the land residual method, which relies on the assumption that structures are easily replaced. But urban land value depends on accessibility to nearby land uses, implying that infrastructure and the slowly changing built environment are the most important components of land value. Investments in structures are only slowly reversible, implying that land and structure function as a bundled good whereas land residual theory severs the connection between land value and structure value over time. We develop a simple theoretical model that includes option value and compare to a nested land residual model before and after a shock to values. Cross-sectionally our model shows that land residual theory overestimates structure value. Over time almost all of any change in property value is allocated to land residuals. Data from Maricopa county, AZ, 2012–2018 strongly support option value models when nested within a general model that also includes land residuals. FHFA estimates use entirely different cost estimation methods: our analysis of FHA data suggest that our conclusions generalize to the U.S. as a whole, and that high and rising land value ratios over 50 years (the “hockey stick” pattern found in the literature) are likely an artifact of the residual model.
Creativity and modelling the measurement process of the Higgs self-coupling at the LHC and HL-LHC
Authors: Ritson Sophie 
Published: August 2021

AbstractThis paper provides an account of the nature of creativity in high-energy physics experiments through an integrated historical and philosophical study of the current and planned attempts to measure the self-coupling of the Higgs boson by two experimental collaborations (ATLAS and CMS) at the Large Hadron Collider (LHC) and the planned High Luminosity Large Hadron Collider (HL-LHC). A notion of creativity is first identified broadly as an increase in the epistemic value of a measurement outcome from an unexpected transformation, and narrowly as a condition for knowledge of the measurement of the self-coupling of the Higgs. Drawing upon Tal’s model-based epistemology of measurement (2012) this paper shows how without change to ‘readings’ (or ‘instrument indicators’) a transformation to the model of the measurement process can increase the epistemic value of the measurement outcome. Such transformations are attributed to the creativity of the experimental collaboration. Creativity, in this context, is both a product, a creative and improved model, and the distributed collaborative process of transformation to the model of the measurement process. For the case of the planned measurements at the HL-LHC, where models of the measurement process perform the epistemic function of prediction, creativity is included in the models of the measurement process, both as projected quantified creativity and as an assumed property of the future collaborations.