bluuebunny/crossref_metadata_2025_split huggingface dataset:
St. Jude Cloud: A Pediatric Cancer Genomic Data-Sharing Ecosystem
Authors: McLeod Clay , Gout Alexander M. , Zhou Xin , Thrasher Andrew , Rahbarinia Delaram , Brady Samuel W. , Macias Michael , Birch Kirby , Finkelstein David , Sunny Jobin , Mudunuri Rahul , Orr Brent A. , Treadway Madison , Davidson Bob , Ard Tracy K. , Chiao Arthur , Swistak Andrew , Wiggins Stephanie , Foy Scott , Wang Jian , Sioson Edgar , Wang Shuoguo , Michael J. Robert , Liu Yu , Ma Xiaotu , Patel Aman , Edmonson Michael N. , Wilkinson Mark R. , Frantz Andrew M. , Chang Ti-Cheng , Tian Liqing , Lei Shaohua , Islam S.M. Ashiqul , Meyer Christopher , Thangaraj Naina , Tater Pamella , Kandali Vijay , Ma Singer , Nguyen Tuan , Serang Omar , McGuire Irina , Robison Nedra , Gentry Darrell , Tang Xing , Palmer Lance E. , Wu Gang , Suh Ed , Tanner Leigh , McMurry James , Lear Matthew , Pappo Alberto S. , Wang Zhaoming , Wilson Carmen L. , Cheng Yong , Meshinchi Soheil , Alexandrov Ludmil B. , Weiss Mitchell J. , Armstrong Gregory T. , Robison Leslie L. , Yasui Yutaka , Nichols Kim E. , Ellison David W. , Bangur Chaitanya , Mullighan Charles G. , Baker Suzanne J. , Dyer Michael A. , Miller Geralyn , Newman Scott , Rusch Michael , Daly Richard , Perry Keith , Downing James R. , Zhang Jinghui 
Published: January 2021

AbstractEffective data sharing is key to accelerating research to improve diagnostic precision, treatment efficacy, and long-term survival in pediatric cancer and other childhood catastrophic diseases. We present St. Jude Cloud (https://www.stjude.cloud), a cloud-based data-sharing ecosystem for accessing, analyzing, and visualizing genomic data from &gt;10,000 pediatric patients with cancer and long-term survivors, and &gt;800 pediatric sickle cell patients. Harmonized genomic data totaling 1.25 petabytes are freely available, including 12,104 whole genomes, 7,697 whole exomes, and 2,202 transcriptomes. The resource is expanding rapidly, with regular data uploads from St. Jude's prospective clinical genomics programs. Three interconnected apps within the ecosystem—Genomics Platform, Pediatric Cancer Knowledgebase, and Visualization Community—enable simultaneously performing advanced data analysis in the cloud and enhancing the Pediatric Cancer knowledgebase. We demonstrate the value of the ecosystem through use cases that classify 135 pediatric cancer subtypes by gene expression profiling and map mutational signatures across 35 pediatric cancer subtypes.Significance:To advance research and treatment of pediatric cancer, we developed St. Jude Cloud, a data-sharing ecosystem for accessing &gt;1.2 petabytes of raw genomic data from &gt;10,000 pediatric patients and survivors, innovative analysis workflows, integrative multiomics visualizations, and a knowledgebase of published data contributed by the global pediatric cancer community.This article is highlighted in the In This Issue feature, p. 995
Conditional Cancer Immunotherapy as a Safer Way to Step on the Gas
Authors: Keenan Bridget P. , Fong Lawrence 
Published: January 2021

AbstractSummary:In this issue, Kamata-Sakurai and colleagues describe an agonist antibody to CD137 (4-1BB) that takes on an active conformation in environments with high ATP concentrations, characteristic of tumors. This represents a novel advancement in developing immunotherapies that can be administered systemically, but act locally to induce antitumor immune responses without the usual attendant toxicities.See related article by Kamata-Sakurai et al., p. 158.
Suppressing Nucleotide Exchange to Inhibit KRAS-Mutant Tumors
Authors: Zhao Yulei , Xue Jenny Y. , Lito Piro 
Published: January 2021

Abstract

Summary:
Guanine nucleotide exchange factors (GEF) control the rate-limiting step of physiologic RAS activation. In this issue of Cancer Discovery, Hofmann and colleagues describe the discovery of a selective inhibitor targeting the GEF, SOS1, along with its preclinical effects in suppressing KRAS-mutant tumor growth.
See related article by Hofmann et al., p. 142.
Effects of intensity of magnetic field generated by neodymium permanent magnet sheets on electrical characteristics of monocrystalline silicon solar cell
Authors: Panmuang Piyapat , Photong C. 
Published: January 2021

<span>In this research, the effects of magnetic field intensity on electrical characteristics of a monocrystalline silicon solar cell were investigated. The experimental test-rig under Standard Test Condition was set up and tested to observe the respective effects. The electrical characteristics in terms of current-voltage-power curves, critical solar cell parameters and fill factor were then examined and analyzed. The outcome of this study demonstrates that the external magnetic field has a positive impact on electrical parameters, the experimental results showed that applying magnetic intensity of 60-260mT significantly affected the electrical characteristics of the cell; i.e., maximized cell current, voltage and power by 12.20, 7.12 and 23.60%, respectively. In addition, this positive impact consequencely happened on the i-v and p-v electrical characteristics curves of the solar cell; reflected by 3.69% increasing in the fill factor. </span>
Perspectives on the adherance to scrum rules in software project management
Authors: Alsaber Leanah , Al Elsheikh Ebtesam , Aljumah Sarah , Mohd Jamail Nor Shahida 
Published: January 2021

Adapting users need to fulfill their requirements and delivering products to be on time within the planned cost, is critical matter that all software project managers (SPM) put the highest priority for it while considering the users satisfaction at the same time. Agile methodology is one of the solutions provided by software engineers (SE), to get the customers involved in the system development life cycle (SDLC) to avoid the risk nonconformance cost. Yet SPM’s still facing the nonconformance costs and the dynamic changes, and the root cause of the issue is not pointed on to find a solution for it. This undertaking research aimed at determining whether software developers understand scrum rules. In addition, how does this knowledge gab affect the software projects success from the project management perspective. Furthermore, the engagement studied the impact of lack of enough knowledge on the topic to project delivery. The collected data from the qualitative and quantitative methods, which was conducted with scrum teams who worked in the <span>health information system</span> (HIS), Educational solutions, and Governmental solutions has showed deviations in organizational practices and team conflicting, competition, and pressure as well as declined product quality.
Analysis of machine learning algorithms for character recognition: a case study on handwritten digit recognition
Authors: Mujtaba Khandy Owais , Dadvandipour Samad 
Published: January 2021

<p><span>This paper covers the work done in handwritten digit recognition and the various classifiers that have been developed. Methods like MLP, SVM, Bayesian networks, and Random forests were discussed with their accuracy and are empirically evaluated. Boosted LetNet 4, an ensemble of various classifiers, has shown maximum efficiency among these methods. </span></p>
Modeling and real time digital simulation of microgrids for campuses Malta and Jordan based on multiple distributed energy resources
Authors: Khiat Sidahmed , Chaker Abdelkader , Zacharia Lazaros , Onen Ahmed 
Published: January 2021

<p>This paper presents the modeling and real-time digital simulation of two microgrids: the malta college of arts, science and technology (MCAST) and the german jordan university (GJU). The aim is to provide an overview of future microgrid situation and capabilities with the benefits of integrating renewable energy sources (RES), such as photovoltaic panels, diesel generators and energy storage systems for projects on both campuses. The significance of this work starts with the fact that real measurements were used from the two pilots, obtained by measuring the real physical systems. These measures were used to plan different solutions regarding RES and energy storage system (ESS) topologies and sizes. Also, the demand curves for the real microgrids of MCAST and GJU have been parameterized, which may serve as a test bed for other studies in this area. Based on actual data collected from the two pilots, a real-time digital simulation is performed using an RT-LAB platform. The results obtained by this tool allow the microgrid manager to have a very accurate vision of the facility operation, in terms of power flow and default responses. Several scenarios are studied, extracting valuable insight for implementing both projects in the future. Eventually, the proposed models would be a blueprint for training and research purposes in the microgrid field.</p>
On the dispatch of minigrids with large penetration levels of variable renewable energy
Authors: Dweekat Anan A. , Shaaban Mohamed , Ngu Sze Song 
Published: January 2021

The continuous use of fossil fuels for decades in electricity generation has led to dire environmental consequences. This has fostered the incorporation of variable renewable energy resources (RES) to improve the environmental outlook and minimize emissions. This paper presents an approach for the dispatch of a minigrid considering variable solar photovoltaic (PV) generation. Due to the variability of the solar irradiance received from the sun during daytime only, solar irradiance is modeled as a stochastic random variable that is fitted into a Beta probability density function (PDF). The minigrid dispatch problem, modeled using stochastic optimization, is then approximated into a linear equivalent to become a mixed integer linear programming (MILP) problem that can be solved efficiently. The proposed approach is implemented on the modified IEEE 14-bus test system to verify its capability in solving the minigrid dispatch under various test case scenarios. <em> </em>
noção de texto na semiótica: do texto-absoluto ao texto-objeto
Authors: Moraes Letícia 
Published: January 2021

O presente artigo consiste em um estudo sobre a noção de texto na semiótica de filiação greimasiana. Neste trabalho, apresenta-se uma hipótese de percurso textual, demonstrando como a geração do texto se dá a partir de uma grandeza de ordem epistemológica até a sua manifestação em um objeto semiótico. Com base nos estudos de L. Hjelmslev (2013 [1943]) e A. J. Greimas (1974; 2008 [1979], em colaboração com J. Courtés), discute-se a importância da análise hjelmsleviana para a constituição do objeto semiótico e apresenta uma hipótese de organização do percurso gerativo textual, desvelando seus polos e suas instâncias intermediárias - a instância textual e a instância da textualização. O percurso textual, que tem o seu início demarcado no texto-absoluto e o seu fim na manifestação do texto-objeto, auxilia a compreensão de como os diferentes objetos (ex. a canção, a pintura, a dança, a arquitetura, as práticas, etc) podem ser concebidos com base em uma grandeza não analisada, não quantificável e geral, tornando-se, todos eles, ao final do percurso, objetos semióticos. Espera-se, com a proposta, contribuir para a discussão acerca do texto enquanto objeto da semiótica.
Outcomes of Pediatric Patients With Defibrillators Following Initial Presentation With Sudden Cardiac Arrest
Authors: Robinson Jeffrey A. , LaPage Martin J. , Atallah Joseph , Webster Gregory , Miyake Christina Y. , Ratnasamy Christopher , Ollberding Nicholas J. , Mohan Shaun , Von Bergen Nicholas H. , Johnsrude Christopher L. , Garnreiter Jason M. , Spar David S. , Czosek Richard J. 
Published: January 2021

Background:
Implantable cardioverter defibrillators (ICD) are recommended for secondary prevention after sudden cardiac arrest (SCA). The outcomes of pediatric patients receiving an ICD after SCA remain unclear. The objective of this study is to evaluate outcomes, future risk for appropriate shocks, and identify characteristics associated with appropriate ICD therapy during follow-up.

Methods:
Multicenter retrospective analysis of patients (age ≤21 years) without prior cardiac disease who received an ICD following SCA. Patient/device characteristics, cardiac function, and underlying diagnoses were collected, along with SCA event characteristics. Patient outcomes including complications and device therapies were analyzed.

Results:

In total, 106 patients were included, median age 14.7 years. Twenty (19%) received appropriate shocks and 16 (15%) received inappropriate shocks (median follow-up 3 years). First-degree relative with SCA was associated with appropriate shocks (
P
<0.05). In total, 40% patients were considered idiopathic. Channelopathy was the most frequent late diagnosis not made at time of presentation. Neither underlying diagnosis nor idiopathic status was associated with increased incidence of appropriate shock. Monomorphic ventricular tachycardia (hazard ratio, 4.6 [1.2–17.3]) and family history of sudden death (hazard ratio, 6.5 [1.4–29.8]) were associated with freedom from appropriate shock in a multivariable model (area under the receiver operating characteristic curve, 0.8). Time from diagnoses to evaluation demonstrated a nonlinear association with freedom from appropriate shock (
P
=0.015). In patients >2 years from implantation, younger age (
P
=0.02) and positive exercise test (
P
=0.04) were associated with appropriate shock.

Conclusions:
The risk of future device therapy is high in pediatric patients receiving an ICD after SCA, irrelevant of underlying disease. Lack of a definitive diagnosis after SCA was not associated with lower risk of subsequent events and does not obviate the need for secondary prophylaxis.
Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning
Authors: van de Leur Rutger R. , Taha Karim , Bos Max N. , van der Heijden Jeroen F. , Gupta Deepak , Cramer Maarten J. , Hassink Rutger J. , van der Harst Pim , Doevendans Pieter A. , Asselbergs Folkert W. , van Es René 
Published: January 2021

Background:
ECG interpretation requires expertise and is mostly based on physician recognition of specific patterns, which may be challenging in rare cardiac diseases. Deep neural networks (DNNs) can discover complex features in ECGs and may facilitate the detection of novel features which possibly play a pathophysiological role in relatively unknown diseases. Using a cohort of PLN (phospholamban) p.Arg14del mutation carriers, we aimed to investigate whether a novel DNN-based approach can identify established ECG features, but moreover, we aimed to expand our knowledge on novel ECG features in these patients.

Methods:
A DNN was developed on 12-lead median beat ECGs of 69 patients and 1380 matched controls and independently evaluated on 17 patients and 340 controls. Differentiating features were visualized using Guided Gradient Class Activation Mapping++. Novel ECG features were tested for their diagnostic value by adding them to a logistic regression model including established ECG features.

Results:

The DNN showed excellent discriminatory performance with a c-statistic of 0.95 (95% CI, 0.91–0.99) and sensitivity and specificity of 0.82 and 0.93, respectively. Visualizations revealed established ECG features (low QRS voltages and T-wave inversions), specified these features (eg, R- and T-wave attenuation in V2/V3) and identified novel PLN-specific ECG features (eg, increased PR-duration). The logistic regression baseline model improved significantly when augmented with the identified features (
P
<0.001).

Conclusions:
A DNN-based feature detection approach was able to discover and visualize disease-specific ECG features in PLN mutation carriers and revealed yet unidentified features. This novel approach may help advance diagnostic capabilities in daily practice.
Light‐Dark Patterns Mirroring Shift Work Accelerate Atherosclerosis and Promote Vulnerable Lesion Phenotypes
Authors: Figueiro Mariana G. , Goo Young‐Hwa , Hogan Ryan , Plitnick Barbara , Lee Jeong‐Kyung , Jahangir Kiran , Moulik Mousumi , Yechoor Vijay K. , Paul Antoni 
Published: January 2021

Background
Despite compelling epidemiological evidence that circadian disruption inherent to long‐term shift work enhances atherosclerosis progression and vascular events, the underlying mechanisms remain poorly understood. A challenge to the use of mouse models for mechanistic and interventional studies involving light‐dark patterns is that the spectral and absolute sensitivities of the murine and human circadian systems are very different, and light stimuli in nocturnal mice should be scaled to represent the sensitivities of the human circadian system.

Methods and Results

We used calibrated devices to deliver to low‐density lipoprotein receptor knockout mice light‐dark patterns representative of that experienced by humans working day shifts or rotating shift schedules. Mice under day shifts were maintained under regular 12 hours of light and 12 hours of dark cycles. Mice under rotating shift schedules were subjected for 11 weeks to reversed light‐dark patterns 4 days in a row per week, followed by 3 days of regular light‐dark patterns. In both protocols the light phases consisted of monochromatic green light at an irradiance of 4 µW/cm
2
. We found that the shift work paradigm disrupts the foam cell's molecular clock and increases endoplasmic reticulum stress and apoptosis. Lesions of mice under rotating shift schedules were larger and contained less prostabilizing fibrillar collagen and significantly increased areas of necrosis.

Conclusions
Low‐density lipoprotein receptor knockout mice under light‐dark patterns analogous to that experienced by rotating shift workers develop larger and more vulnerable plaques and may represent a valuable model for further mechanistic and/or interventional studies against the deleterious vascular effects of rotating shift work.
عبد الملك الديلميّ في الدراسات الاستشراقيّة وشذرات من تفسيره الصوفيّ
Authors: عبده خالد محمّد 
Published: January 2021

The first part of this article discusses what has been written on ‘Abd al-Malik al-Daylamī’s biography in Orientalist studies, using the work of Arthur Arberry, Gerhard Böwering and Pieter Coppens as examples.
It also analyzes what was written about al-Daylamī in Persian Sufi studies, through Mujtaba Shahswary’s article, in an attempt to shed light on Daylamī’s biography and unpublished Sufi writings. It focuses on his exegesis Futūḥ al- Raḥmān fī ishārāt al-Qur’ān in particular.
The second part of the article presents a model of this exegesis through its introduction and interpretation of the two first sūras of the Qur’ān: al-Fātiḥa and al-Baqara.
A Survey of Science Teachers’ Perception and Practices in Inclusive Science Classrooms
Authors: Teo Tang Wee 
Published: January 2021

Abstract
This paper reports on a first study about Singapore primary science teachers’ views and practices in inclusive science classrooms. Rasch analysis was performed on an online teacher survey administered to 108 teachers, which was conducted to investigate teachers’ views about students with special education needs (SEN; Construct A), self-efficacy views in teaching students with SEN (Construct B), and their science teaching practices in inclusive classrooms (Construct C). The findings show that it was generally easy for the science teachers to agree with items in Constructs B and C, but not in Construct A. A closer examination of the individual constructs revealed positive teachers’ views, their feelings of inadequacy and wish for greater school support, and selected types of accommodations and modifications practiced in their classrooms. This study contributes new insights drawn from an Asian study, offers a validated instrument, and provides science teacher educators ideas for supporting science teachers in inclusive science teaching.
A Review: Anomaly-Based versus Full-Field-Based Weather Analysis and Forecasting
Authors: Qian Weihong , Du Jun , Ai Yang 
Published: January 2021

AbstractComparisons between anomaly and full-field methods have been carried out in weather analysis and forecasting over the last decade. Evidence from these studies has demonstrated the superiority of anomaly to full field in the following four aspects: depiction of weather systems, anomaly forecasts, diagnostic parameters, and model prediction. To promote the use and further discussion of the anomaly approach, this article summarizes those findings. After examining many types of weather events, anomaly weather maps show at least five advantages in weather system depiction: 1) less vagueness in visually connecting the location of an event with its associated meteorological conditions, 2) clearer and more complete depictions of vertical structures of a disturbance, 3) easier observation of time and spatial evolution of an event and its interaction or connection with other weather systems, 4) simplification of conceptual models by unifying different weather systems into one pattern, and 5) extension of model forecast length due to earlier detection of predictors. Anomaly verification is also mentioned. The anomaly forecast is useful for raising one’s awareness of potential societal impact. Combining the anomaly forecast with an ensemble is emphasized, where a societal impact index is discussed. For diagnostic parameters, two examples are given: an anomalous convective instability index for convection, and seven vorticity and divergence related parameters for heavy rain. Both showed positive contributions from the anomalous fields. For model prediction, the anomaly version of the beta-advection model consistently outperformed its full-field version in predicting typhoon tracks with clearer physical explanation. Application of anomaly global models to seasonal forecasts is also reviewed.
Balance Performance of Post-Call Medical Residents
Authors: Ungar Omer J. , Amit Uri , Wengier Anat , Cavel Oren , Oron Yahav , Handzel Ophir 
Published: January 2021

Background: Fatigue is thought of as a leading cause of iatrogenic accidents. A significant deterioration in qualitative balance function has been shown in sleep deprived individuals. Aim/Objectives: To quantify the degree to which balance is impaired by sleep deprivation (SD) in post-call medical residents. Methods: Medical residents voluntarily underwent computed dynamic posturography (CDP) before and after an on-call night, at an identical time of the day. Order of test performance was random to avoid behavioral learning. Each participant served as his or her own control. Results: Seventeen residents were enrolled (median age 32years). Average sleeping duration the night before and during the night shift was 6.5 and 1 hour, respectively. The average response times difference between alert and fatigued was 10.15 milliseconds (95% CI: 6.81-13.49 milliseconds), yielding a significantly prolonged response times from 120 milliseconds before to 130 milliseconds after the night shift ( P < .001). Comparison of additional measurements of CDP performance did not differ between test conditions. Conclusion: Medical residents are fatigued due to the effect of on-call nights. Sleep deprivation prolongs response times to vestibular stimuli. This finding probably has an effect on execution of manual skills and may reflect a more generalized slowing of responses and overall performance impairment. Significance: The vestibular system is susceptible to SD.