bluuebunny/crossref_metadata_2025_split huggingface dataset:
EIT for tactile sensing:considerations regarding the injection-measurement pattern
Authors: Smela Elisabeth 
Published: November 2022

Abstract
Bipolar current injection and voltage measurement (I–M) patterns are frequently used in electrical impedance tomography (EIT) for tactile sensing. In this work, the total set of 36 unique combinations for 16-electrode systems is investigated using simulations. Performance is evaluated on a circular sensor as a function of hyperparameter and target position with respect to critical performance measures for tactile sensing; these include not only peak amplitude and resolution, but also susceptibility to noise and, importantly, the uniformity of performance over the sensor area. The determination of which pattern to employ can therefore be based on the needs of the particular application. The relative performance of the I–M patterns is determined at small hyperparameters by electrode placement symmetry, but at large hyperparameters by sensitivity at the center of the sensor. Patterns with high spatial symmetry should be avoided; these include electrode pairs on opposite sides of the sensor. Patterns with electrodes in adjacent positions, which have been the norm for tactile sensing, should also not generally be used. If performance on all metrics across a wide range of hyperparameters is needed, then placing both the injection and measurement electrodes 3 spaces apart (the 3–3 pattern) can be a good strategy for the Gauss-Newton 1-step algorithm with the Laplacian prior. The use of 13 electrodes instead of 16 is also examined. The absence of symmetry provides greater flexibility in the choice of I–M pattern, and the loss in performance may be small; furthermore, the reduction in data collection time may be advantageous. Beyond avoiding the worst I–M patterns, the most important measure to take is decreasing noise on the signal to permit the use of a smaller hyperparameter; this is of greater importance than selecting from among the remaining I–M patterns.
Blood Pressure Variability and Cognitive Decline: A Post Hoc Analysis of the SPRINT MIND Trial
Authors: Sible Isabel J , Nation Daniel A 
Published: November 2022

Abstract

Background
Blood pressure (BP) variability (BPV) is an emerging risk factor for cognitive impairment and dementia, but relationships with cognition in the context of antihypertensive strategies remain unclear. We examined whether visit-to-visit BPV relates to cognitive change based on antihypertensive treatment type.

Methods
In this post hoc analysis of the SPRINT MIND trial, 2,348 participants underwent 4 BP measurements over a 9-month period after treatment randomization (standard vs. intensive BP lowering) and ≥ 1 neuropsychological evaluation thereafter. BPV was calculated as tertiles of BP SD. Participants underwent cognitive testing at baseline and every 2 years during the planned 4-year follow-up. Cognitive composite scores were calculated for global cognition, memory, language, executive function, and processing speed. Linear mixed models investigated relationships between BPV, antihypertensive treatment group, and time on cognitive composite scores.

Results
Elevated BPV was associated with the fastest decline in processing speed (ß = −.07 [95% CI −.12, −.01]; P = 0.02) and executive function (ß = −.08 [95% CI −.16, −.006]; P = 0.03) in the standard treatment group only. BPV was not related to cognitive change in the intensive treatment group. Mean/minimum/maximum BP was not associated with cognitive composite scores over time in either antihypertensive treatment group.

Conclusions
Elevated BPV remains a risk for cognitive decline despite strictly controlled BP levels, in the standard treatment group. Specific declines were observed in processing speed and executive function, domains often impacted by cerebrovascular disease and may underpin risk for dementia and cerebrovascular disease associated with BPV. Clinical trial information: ClinicalTrials.gov; NCT01206062.
SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs
Authors: Zheng Kai , Zhang Xin-Lu , Wang Lei , You Zhu-Hong , Ji Bo-Ya , Liang Xiao , Li Zheng-Wei 
Published: November 2022

Abstract
piRNA and PIWI proteins have been confirmed for disease diagnosis and treatment as novel biomarkers due to its abnormal expression in various cancers. However, the current research is not strong enough to further clarify the functions of piRNA in cancer and its underlying mechanism. Therefore, how to provide large-scale and serious piRNA candidates for biological research has grown up to be a pressing issue. In this study, a novel computational model based on the structural perturbation method is proposed to predict potential disease-associated piRNAs, called SPRDA. Notably, SPRDA belongs to positive-unlabeled learning, which is unaffected by negative examples in contrast to previous approaches. In the 5-fold cross-validation, SPRDA shows high performance on the benchmark dataset piRDisease, with an AUC of 0.9529. Furthermore, the predictive performance of SPRDA for 10 diseases shows the robustness of the proposed method. Overall, the proposed approach can provide unique insights into the pathogenesis of the disease and will advance the field of oncology diagnosis and treatment.
The Perceived Public Image of Palestinian Female Social Workers in Israel: Effects on Professional Experiences
Authors: Hardal-Zreik Hozam 
Published: November 2022

Abstract
The public image of social workers has recently received considerable attention. However, relatively few have examined how social workers interpret that image and how it affects their practice. As social workers from oppressed groups have been excluded from this discussion, the current study critically examines how Palestinian female social workers (PFSWs) in social services perceive their public image and how it affects them, using intersectionality theory. The study employs a qualitative method based on thirty semi-structured interviews with PFSWs who work in social services within the Palestinian community. The findings indicate that PFSWs perceive their public image in terms of subordination to family–community ties, intersected otherness and negligence. They are marginalised by this image, which has led to a loss of public legitimacy and safety. The study enriches the literature and deepens the debate regarding the public image of social workers in general, and among women from oppressed groups in particular. Additionally, it emphasises the need to improve the working conditions of Palestinian social workers in order to improve their public image and quality of service.
ddRADseq reveals the relationships of harakeke and wharariki (Phormium species, Asphodelaceae) and selected weaving cultivars in Aotearoa New Zealand
Authors: Shepherd Lara D , Scheele Sue M , Te Awa Isaac , Smissen Rob D 
Published: November 2022

Abstract
Phormium tenax (harakeke) and P. cookianum (wharariki) are important plants for Māori, particularly as weaving materials. At least 60 different cultivars were selected for specific purposes; most are harakeke, but some are suspected hybrids between the two species. We used next-generation sequencing to examine the relationships of wild and cultivated Phormium. We found that the two species could be distinguished genetically, despite evidence of hybridization and introgression. We observed genetic structuring within harakeke and most of the cultivars clustered with wild North Island samples. Our results indicate that it is possible that the populations of harakeke on offshore islands (Norfolk Island, the Kermadec Archipelago, Rēkohu and the subantarctic islands) are all introduced, either by Māori or early European settlers.
Sulfur-fumigated ginger identification via brightness information and voting mechanism
Authors: Wang Tianshu , Yan Hui , Wang Ziyi , Yang Rui , Zhang Jin , Hu Kongfa , Yang Xichen , Wei Minghui , Duan Jinao 
Published: November 2022

Abstract
As a food consumed worldwide, ginger is often sulfur-fumigated. Sulfur-fumigated ginger is harmful to health. However, traditional methods to detect sulfur-fumigated ginger are expensive and unpractical for the general public. In this paper, we present an efficient and convenient identification method based on image processing. First, rapid detection kits were employed to mark three levels of sulfur-fumigated gingers, and the RGB images of the gingers of each sulfur-fumigated level are collected. Second, the brightness and texture features were extracted from the images. Three machine learning methods, Support Vector Machine, Back Propagation Neural Network and Random Forest, were applied to establish prediction models. Third, the accuracy of each model was calculated and different weights were assigned for different models. Finally, models with different weights determined whether the ginger was sulfur-fumigated or non-sulfur-fumigated, and then the results were summarized to establish the final identification model. The experimental results show that the proposed method is robust. When the training set occupies 90%, the prediction accuracy is up to 100%. When the training set only occupies 10%, the accuracy remains high at 80%. Meanwhile, the proposed method is more competitive than other methods in terms of accuracy.
Continuous vagal intraoperative neuromonitoring during video-assisted thoracoscopic surgery for left lung cancer: its efficacy in preventing permanent vocal cord paralysis
Authors: Seong Yong Won , Chai Young Jun , Lee Jung-Man , Ok You Jung , Oh Se Jin , Choi Jae-Sung , Moon Hyeon Jong 
Published: November 2022

Abstract

OBJECTIVES
We investigated the safety and efficacy of continuous intraoperative neuromonitoring (CIONM) during video-assisted thoracoscopic lobectomy for left lung cancer in preventing recurrent laryngeal nerve injury.

METHODS
From August 2015 to March 2020, 22 patients with left lung cancer without CIONM (unmonitored) and 20 patients with left lung cancer with CIONM underwent thoracoscopic lobectomy with complete mediastinal lymph node dissection including 4L dissection. Clinical outcomes from these 2 groups were compared.

RESULTS
The incidence of 4L metastasis was 7.14% (3 patients). There was no significant difference in the total number of dissected 4L lymph nodes between the 2 groups (3.23 ± 2.2 in the unmonitored group, 3.95 ± 2.0 in the CIONM group). CIONM was successful in all of the cases. There was no significant difference in the incidence of postoperative vocal cord palsy (22.7% in the unmonitored group, 20% in the CIONM group, P = 1.000). All of the 5 patients (100%) had permanent vocal cord palsy in the unmonitored group. Although statistically insignificant, 75% (3 patients) had total recovery of the vocal cord function, with only 1 patient remaining in permanent vocal cord palsy in the CIONM group.

CONCLUSIONS
CIONM was safe and efficient. CIONM might be helpful to avoid permanent vocal cord palsy by immediately warning the surgeon about impending nerve injury, so the surgeon can stop delivering further injury to the recurrent laryngeal nerve.
Medicinal cannabis for patients with chronic non-cancer pain: analysis of safety and concomitant medications
Authors: Schubert Elise A , Alffenaar Johannes C , Johnstone Masego T , Barlow John W , Wheate Nial J 
Published: November 2022

AbstractObjectivesThis study aimed to explore the incidence of adverse events (AEs) reported by patients when initiating medicinal cannabis treatment for chronic pain, and the association of cannabis constituents, dose and concomitant medicines with AE incidence.MethodsPatient demographics, cannabis products and AE data were collected as part of the Cannabis Access Clinics Observational Study, and concomitant medicines were obtained from patient health summaries provided by referring doctors. Cannabis products were grouped by their constituents as either cannabidiol-only or containing both cannabidiol and Δ-9-tetrahydrocannabinol.Key findingsFrom a total of 275 patients, each had a median of six concomitant medicines, with opioids (n = 179; 65%) the most common. A total of 35.6% patients took 10 or more other medicines, and they were associated with a 3.6 times higher likelihood to report the AE of fatigue (P = 0.048). Patients who received concomitant gabapentinoids were 2.4 times more likely to report dizziness (P = 0.036), patients on tricyclic antidepressants were 1.8 times more likely to report somnolence (P = 0.034) and 3.4 times more likely to report anxiety (P = 0.04), when compared with patients who were not prescribed those classes of medications. Those patients who were prescribed products containing both cannabidiol and Δ-9-tetrahydrocannabinol were 1.5 times more likely (P = 0.004) to have experienced an AE when compared with those prescribed only cannabidiol.ConclusionsThese findings show that certain concomitant medications and cannabis constituents may be associated with AE incidence when initiating medicinal cannabis. These potential pharmacokinetic and pharmacodynamic interactions require further study to develop guidance for prescribers and pharmacists.
Application of electrical resistivity tomography (ERT) in uranium mining earth dam
Authors: Moreira César Augusto , Guireli Netto Leonides , Camarero Pedro Lemos , Bertuluci Fernanda Barbosa , Hartwig Marcos Eduardo , Domingos Reinaldo 
Published: November 2022

Abstract
Dams are built to contain water or mining tailings and provide several benefits to society. The safety and stability of these structures are essential since eventual accidents can generate catastrophic damage. The main cause of ruptures is associated with abnormal seepage, which can progress to an internal erosion process. To assess the stability and safety of dams, periodic inspections are carried out, which typically include visual inspections and geotechnical instrumentation. Some geophysical methods have the potential to assist conventional geotechnical instrumentation using non-destructive and rapid acquisition investigations. The present study applied a finite element forward modeling to evaluate the percolation conditions and water stability in an earth dam of a decommissioned uranium mine in Brazil. The dam is the final structure of the contention system of mine water treatment. The electrical resistivity data were acquired using electrical resistivity tomography (ERT) and Schlumberger array. The results were presented from the inversion of data in 3D models. The data were processed by open-source software (modeling and inversion of geophysical data). The results indicate the presence of water in the vertical filter located in the crest area. The different levels of investigation indicated water infiltration in the rock mass of the dam foundation. These results are supported by structural surveys carried out in the area that indicate a fracturing pattern in the rock mass of the mine area. The results of the study were satisfactory for the desired purposes and demonstrate that geophysical methods constitute an important complementary tool for the geotechnical monitoring dams.
Seismic inversion and fracture prediction in tilted transversely isotropic media
Authors: Li Qin , Wang Hanlin , Yang Xiaoying , Ma Suibo , Liu Xingye , Li Jiang 
Published: November 2022

Abstract
The conventional Amplitude variation with offset (AVO) inversion has been mainly developed for the isotropic media and therefore it is generally inapplicable to the anisotropic fractured formations. A set of tilted fractures in isotropic medium can be regarded as a transversely isotropic (TTI) medium. The reflection coefficient equation in TTI media contains many parameters such as anisotropic parameters, velocities, azimuth and dip angles. The selection of objective functions can significantly affect its performance in searching for the optimal solution. The seismic inversion of the TTI medium remains challenging because of its many parameters, and is very complicated after conversion into solving function problems. The genetic algorithm (GA) provides a universal framework to solve the optimization problem in complex systems, and it is independent of the types and disciplines of problems. In this study, the GA-based seismic prestack inversion of the TTI medium is implemented by constructing the objective functions of anisotropic parameters based on the TTI medium reflection coefficient approximation. The inversion performance is shown to be satisfactory on the one-dimensional well logging model, modified Hess model and the field datum. Furthermore, fracture filling materials are well predicted according to the theories of the equivalent medium for fractured materials and fracture weakness. The inversion results demonstrate the proposed method to be feasible and robust. The findings of this research are expected to provide theoretical guidance for the inversion of elastic parameters of anisotropic media and fracture type identification in hydrocarbon reservoirs.
Atrial septal defect in a pediatric patient with Williams Syndrome: a rare presentation
Authors: Grajeda Javier , Mubarak Amir N , Ardebol Javier , Grajeda Guillermo 
Published: November 2022

Abstract
Characterized by congenital heart defects (CHD) and elfin-like facies, Williams-Beuren syndrome (WS) is a multisystemic disorder that occurs approximately in 1 in 10 000 newborns [1]. WS is caused by a contiguous gene microdeletion of the Williams Beuren syndrome critical region (WBSCR) on chromosome 7q11.23, resulting in an abnormal elastin gene (ELN). There is a wide range of CHD in patients with WS, with supravalvular aortic stenosis (SAS) being the most common, and atypically the atrial septal defect (ASD) [2]. Few reports and reviews have linked the appearance of ASD to WS. Thus, data on the management of ASD secondary to WS is not well-documented. The following case report consists of the diagnosis and management of an ASD in a pediatric patient with WS.
Cultural information bubbles: A new approach for automatic ethical evaluation of digital artwork collections based on Wikidata
Authors: Zhitomirsky-Geffet Maayan , Minster Sara 
Published: November 2022

Abstract
Large digital repositories created and maintained by art museums provide open access to millions of works of art and make them available to new audiences with diverse backgrounds, views, and needs. Digitization of cultural collections by art museums has opened an opportunity to correct the historical injustices and imbalances in information representation. The first step toward this goal is a systematic critical evaluation of digital cultural collections from an ethical perspective. In this study, we propose and apply a new automated methodology for evaluation of digital cultural collections, based on a recently proposed ethical framework for evaluation of knowledge organization systems. The developed approach utilizes Wikidata for automatic creation of a unified ontological scheme comprised of ethically marked properties of cultural heritage items. These properties are used to automatically measure and compare the compliance of a database with a set of ethical criteria, on a large scale, in a database-agnostic manner. The findings, based on two prominent art museums—the Metropolitan Museum of Art and the Rijksmuseum—as well as the Wikidata artwork collection, indicate the presence of biases and a Western cultural information bubble. The Met artwork database’s scores are relatively close to Wikidata and more inclusive and balanced than those of the Rijksmuseum.
The extreme super-eddington NLS1 RX J0134.2-4258 – II. A weak-line Seyfert linking to the weak-line quasar
Authors: Jin Chichuan , Done Chris , Ward Martin , Panessa Francesca , Liu Bo , Liu He-Yang 
Published: November 2022

ABSTRACT
RX J0134.2-4258 is one of the most super-Eddington narrow-line Seyfert 1 (NLS1) galaxies, on which we conducted a monitoring campaign from radio to X-rays. In this paper, we present a detailed analysis of its optical/UV spectra and broad-band spectral energy distribution. Our study shows that the preferred black hole mass of RX J0134.2-4258 is MBH ∼ 2 × 107 M⊙, giving a mass accretion rate through the outer disc of $\dot{m}_{\rm out} \sim 20$ (assuming zero spin), compared to the observed luminosity ratio Lbol/LEdd ∼ 6. This reduction in radiative efficiency is expected for super-Eddington flows, as power can be lost via advection and/or disc winds. We find that the optical/UV lines of RX J0134.2-4258 resemble those from weak-like quasars (WLQs), as it has notably weak C iv and N v emission lines. It also has drastic X-ray variability, again similar to that recently observed in some other WLQs. However, WLQs have systematically higher masses (≳108 M⊙), and lower Eddington ratios ($\dot{m}_{\rm out} \sim 1$) than RX J0134.2-4258. We compare instead to the most extreme NLS1s, with similarly large $\dot{m}_{\rm out}$ but smaller masses. These show similarly large reductions in radiative efficiency but their UV lines are not similarly wind dominated. We suggest a new category of weak-line Seyfert galaxies to describe sources like RX J0134.2-4258, and interpret its (so far unique) properties in a model, where the lower disc temperature in the higher mass black holes leads to the UV-line-driving mechanism, which enhances the super-Eddington radiation-pressure-driven wind.
TOPAS, a network-based approach to detect disease modules in a top-down fashion
Authors: Buzzao Davide , Castresana-Aguirre Miguel , Guala Dimitri , Sonnhammer Erik L L 
Published: November 2022

Abstract
A vast scenario of potential disease mechanisms and remedies is yet to be discovered. The field of Network Medicine has grown thanks to the massive amount of high-throughput data and the emerging evidence that disease-related proteins form ‘disease modules’. Relying on prior disease knowledge, network-based disease module detection algorithms aim at connecting the list of known disease associated genes by exploiting interaction networks. Most existing methods extend disease modules by iteratively adding connector genes in a bottom-up fashion, while top-down approaches remain largely unexplored. We have created TOPAS, an iterative approach that aims at connecting the largest number of seed nodes in a top-down fashion through connectors that guarantee the highest flow of a Random Walk with Restart in a network of functional associations. We used a corpus of 382 manually selected functional gene sets to benchmark our algorithm against SCA, DIAMOnD, MaxLink and ROBUST across four interactomes. We demonstrate that TOPAS outperforms competing methods in terms of Seed Recovery Rate, Seed to Connector Ratio and consistency during module detection. We also show that TOPAS achieves competitive performance in terms of biological relevance of detected modules and scalability.