bluuebunny/crossref_metadata_2025_split huggingface dataset:
Survive, Revive, Thrive: Chapter 1: In the Storm
Authors: Blasingame Tom 
Published: November 2020

Most of you reading this are thinking, okay, he’s SPE President, he must know something I don’t know, see something I don’t see, etc. The truth is we are all in the same storm of pandemic+economic crisis=chaos.
Our salvation is that humans have evolved and survived not despite adversity but because of it. Humans do not like uncertainty - real or perceived. Uncertainty causes anxiety, and anxiety clouds one’s thinking. My advice is to focus on what you know, what you believe in, and what you can do. These actions are tangible and necessary.
The recent industry news is truly unnerving. Nearly 50 companies in North America have filed for bankruptcy during the second and third quarters of 2020, while others are making deep cuts in their workforce. Globally, multinational oil and gas operators and oilfield services providers are reducing staff by 10-20% (15% appears to be an average). The result is job losses totaling more than 100,000. As the pandemic drags on and demand remains contracted, these numbers are only expected to rise.
This hit to our industry is personal for me (and likely for most of you). Many of my former students, friends, and family are affected by the economic calamity that we are currently experiencing, some more severely than others. Please keep in mind that many of us are faring reasonably well, but to someone who has lost their job, it is more than their livelihood - it could also be that they have lost their sense of purpose.
The numbers don’t lie. The demand side of the equation has contracted by roughly 10%, and the expectation for recovery is that demand will continue to increase by about 1% per month. That means demand will return to late-2019/early-2020 levels around mid-2021. This assumes, of course, that the pandemic does not worsen.
Financially, as an industry we are in survival mode. There are segments that are strengthening, and ironically, several of my former students and industry colleagues in leadership positions for companies undergoing bankruptcy are remarkably optimistic about the future. I think it comes down to the uncertainty/anxiety syndrome I discussed above (i.e., as a business, once there is clarity the confidence exists to do what must be done).
I ask that you keep our colleagues who are struggling in mind. Reach out and let them know you are thinking about them and ask them (sincerely) if they need any help. If they say they do, then do whatever you can. If entry-level colleagues (i.e., students) are in your sphere, don’t tell them how tough it was during your career or give them platitudes. Be honest and direct and guide them toward activities and tasks that keep them sharp and focused. If asked difficult questions such as “Should I leave the industry?”, be kind but candid. My reply is “If you really want to be a petroleum engineer, you will have that opportunity, but you must be prepared for competition.”
Artificial Intelligence in Operation Monitoring Discovers Patterns Within Drilling Reports
Authors: Carpenter Chris 
Published: November 2020

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 29815, “Discovering Patterns Within Drilling Reports by Use of Artificial Intelligence for Operation Monitoring,” by Danilo Colombo, Petrobras, and Daniel Carlos Guimarães Pedronette and Ivan Rizzo Guilherme, UNESP, et al., prepared for the 2019 Offshore Technology Conference Brasil, Rio de Janeiro, 29-31 October. The paper has not been peer reviewed. Copyright 2020 Offshore Technology Conference. Reproduced by permission.
In well-drilling activities, successful execution of a sequence of operations defined in a well project is critical. To provide proper monitoring, operations executed during drilling procedures are reported in daily drilling reports (DDRs). The complete paper provides an approach using machine-learning and sequence-mining algorithms for predicting and classifying the next operation based on textual descriptions. The general goal is to exploit the rich source of information represented by the DDRs to derive methodologies and tools capable of performing automatic data-analysis procedures and assisting human operators in time-consuming tasks.
Methods
Classification Tasks. fastText.This is a library discussed in the literature designed to learn word embeddings and text classification. The technique implements a simple linear model with rank constraint, and the text representation is a hidden state that is used to feed classifiers. A softmax function computes the probability distribution over pre-defined classes.
Conditional Random Fields (CRFs). CRFs are a category of undirected graphical models that allow combination of features from each timestep of the sequence, with the ability to transit between labels for each episode in the input sequence. They were proposed to overcome the problem of bias that existed in techniques such as hidden Markov models and maximum-entropy Markov models.
Recurrent Models. Despite achieving good results in several scenarios and learning word embeddings as a byproduct of its training, the fastText classifier does not properly consider word-ordering information that can be useful for several classification tasks. Such a shortcoming can be addressed by a recurrent neural network (RNN), which considers the fact that a fragment of text is formed by an ordered sequence of words. The authors consider the gated recurrent unit variant, which is easier to train than traditional RNNs and achieves results comparable with those of the long short-term memory unit, while figuring fewer parameters to learn. The methodology of these classifiers is detailed mathematically in the complete paper.
Sequence Prediction. Sequential pattern mining can be defined broadly by the task of discovering interesting subsequences in a set of sequences, where the level of interest can be measured in terms of various criteria such as occurrence frequency, length, and profit, according to the application. The authors focus in this paper on the specific task of sequence prediction.
Quantitative Response of Healthy Muscle Following the Induction of Capsaicin: AnExploratory Randomized Controlled Trial
Authors: Evans Valerie , Behr Michael , Masani Kei , Kumbhare Dinesh 
Published: November 2020

Abstract
Background: Myofascial pain syndrome (MPS) is a prevalent chronic pain disorder primarily characterized by myofascial trigger points (MTrP). There is limited knowledge on the pathophysiology and mechanisms underlying MTrP and its development. Research has previously demonstrated the identification of MTrPs using ultrasound and vibrationsonoelastography, although there is some contradictory evidence regarding if MTrPs present as hyper or hypoechoic regions. Electromyography (EMG) investigations of MTrP have demonstrated that MTrP are usually located proximal to innervation zones where the peak surface EMG signals are obtained from. Central sensitization has been proposed as the primary mechanism underlying MTrP development. Central sensitization is associated withhyperexcitability of neuronal responses to normal or noxious stimuli. There is a need for a study that measures ultrasound image textural changes and motor unit activity responses in the muscle following sensitization. The purpose of this study is to determine whether sensitizing healthy muscle using capsaicin induces a regional change in image texture variables within the specific and surrounding muscles, as well as the motor unit frequency and amplitude changes that accompany them. This is an exploratory trial that aims to provide preliminary evidence on whether central sensitization is a direct cause of taut band and MTrP development.Methods: Ethical approval was obtained from the University Health Network (UHN)Research Ethics Board. This proposed study is a single centered, factorial, randomized placebo-controlled trial with two independent variables, depth of capsaicin application and dose of capsaicin, for a total of six treatment arms and three control treatment groups. Discussion: This will be the first study that assesses the B-mode ultrasound image texture of induced sensitized muscles, and will provide more evidence on muscle motor unit activity and regional changes of central sensitization. Findings from this study may support one of few hypotheses proposed delineating the involvement of central sensitization in the development of trigger points.Trial Registration: Name: National Institutes of Health ClinicalTrials.gov. Identifier: NCT03944889 Date of Registration: May 07 2019 URL: https://clinicaltrials.gov/ct2/show/NCT03944889
Food handling practice and associated factors among food handlers working in food establishments in Woldia town, Northeast Ethiopia
Authors: Reta Melese Abate , Lemma Mekonnin Tesfa , Gemeda Ashete Adere , Lemlem Getasew Assefa 
Published: November 2020

Abstract
Purpose: The food safety issue is a major public health concern. Inadequate food handler's knowledge and food safety practices are the utmost mentioned contributing factors for potential foodborne disease outbreaks. This study aimed to assess food handling practices and determinants among food handlers working in catering establishments in Woldia town.Design/methodology/approach: In total, 288 food handlers were recruited through a simple random selection method. A structured and interviewer-administered questionnaire was used as a data collection tool. Data were analyzed using frequencies and through applying bivariate and multivariate logistic regressions. P < 0.05 was considered statistically significance.Findings: Of total 288 participants, 91.7% were females, and 69.8% were literate. This study revealed that good food handling practice was 46.5% (95%CI:37.01-56.20). In the subgroup analysis, advanced age (adjusted odds ratio (aOR)=12.01; 95%CI:1.96-17.52), married couples (aOR=2.09; 95%CI:1.05-4.78), education (participants who attend grade 7-12 (aOR=2.33; 95%CI:1.14-4.79), and above secondary education (aOR=2.29; 95%CI:1.05-4.61)), monthly income (aOR=2.29; 95%CI:1.14-5.61), work experience above six years (aOR=2.43; 95%CI:2.08-3.17), received training (aOR=1.79; 95%CI:1.68-4.71), inspected by concerned authority (aOR=2.24; 95%CI:1.05-3.09) and knowledge (aOR=3.15; 95%CI:1.02-6.04) were factors associated with food handling practices.Originality/value: Comprehensive and continuous food handling and safety training to food handlers and/or food establishment owners, regular sanitary inspection visits of public food and drink services establishments by concerned authority is compulsory to ensure that all food handlers have the knowledge and the skill to provide safe food.
The Impact of Irregular Corneal Shape Parameters on Visual Acuity and Contrast Sensitivity
Authors: Liduma Sanita , Luguzis Artis , Krumina Gunta 
Published: November 2020

Abstract
Background: To understand which irregular corneal parameters determine the visual quality in keratoconus subjects.Methods: The cross-sectional study examined the eyes of 44 subjects, graded from the first to third keratoconus stages by Amsler-Krumeich classification. We obtained measurements in two ways: (a) by projecting two perpendicular axes onto a cornea (first, through the central point of the cornea and keratoconus apex; second, as the perpendicular axis) to read the elevation values at points on these axes as parameters characterising the corneal surface; (b) by projecting circles with different diameters around the central part of the cornea (1, 2, and 3 mm) and reading elevation values at points equally displaced on these circles as parameters characterising an anterior surface slope. Irregular corneal shape parameters’ correlations with visual acuity and contrast sensitivity were determined in order to understand which corneal slope parameter has the strongest correlation with visual acuity and contrast sensitivity.Results: Parameters characterising the corneal surface’s correlations with contrast sensitivity were from r=0.25 (p=0.03) at 3 cpd to r=0.47 (p<0.01) at 9 cpd for the highest elevation and from r=0.33 (p=0.09) at 5 cpd to r=0.40 (p<0.01) at 11 cpd for the lowest elevation in all subjects together, while for visual acuity the parameters were r=0.30 (p<0.01) for the highest elevation and r=0.21 (p=0.06) for the lowest elevation in all subjects together. The correlation between contrast sensitivity and the highest and lowest corneal point in all measured cornea was stronger for subjects with a peripheral corneal apex than for those with a central apex. In keratoconus subjects, contrast sensitivity displayed a strong correlation with slope in the central part of the cornea (with a radius of 1 mm) ranging from 0.48 (p<0.01) at 3 cpd to 0.61 (p<0.01) at 9 cpd.Conclusion: Contrast sensitivity has a higher correlation with corneal shape parameters than with visual acuity. Subjects with a peripheral corneal apex had stronger correlations with visual acuity and contrast sensitivity than did subjects with a central apex. In keratoconus subjects, the strongest correlation was for contrast sensitivity and elevation (slope) in the region within a 1 mm radius of the corneal centre in the opposite direction of the keratoconus apex (direction (ax) CB).
Superstoichiometric Alloying of H and Close-Packed FeNi under High Pressures: Implications for Hydrogen Storage in Planetary Cores
Authors: Piet Helene , Chizmeshya Andrew , Chen Bin , Chariton Stella , Greenberg Eran , Prakapenka Vitali , Buseck Peter , Shim Sang-Heon 
Published: November 2020

Abstract
Although high pressure promotes alloying between hydrogen and iron, it has been believed that H/Fe is limited to 1 in the close-packed alloys. We report a substantial increase in the H solubility for iron through stabilization of superstoichiometric close-packed alloys promoted by Ni and high temperature. We also observe Fe-H polyhydrides at temperatures over 2500 K at high pressures, stability of which has been unknown at temperatures relevant for the planetary interiors. Considering recent results, large storage of H in the planetary cores is possible from H2-rich to even H2O-rich conditions. The H storage in the core can change the mass-radius relations where H has been assumed to de-gas to the atmosphere. Such H solubility and storage in the core are important to consider for understanding the “diluted core” of Jupiter, the “radius cliff” in the sub-Neptune exoplanets population, and massive exoplanets with very thin atmospheres.
WITHDRAWN: Corrosion resistant fluorine-doped graphene nanoribbons for an highly durable PEMFC: combined experiment and ab-initio studies
Authors: Jin Song , Yang Seung Yong , Lee Jong Min , Kang Mun Seon , Choi Sung Mook , Ahn Wook , Fuku Xollie Godfrey , Modibedi Remegia Mmalewane , Han Byungchan , Seo Min Ho 
Published: November 2020

Abstract
Pt-supported carbon material-based electrocatalysts are formidably suffering from carbon corrosion when H2O and O2 molecules are present at high voltages in PEMFC. In this study, we discovered that the edge site of a fluorine-doped graphene nanoribbon (F-GNR) was slightly adsorbed with H2O and thermodynamically unfavorable with O atoms after defining the thermodynamically stable structure of F-GNR from DFT calculations. Based on computational predictions, the physicochemical and electrochemical properties of F-GNRs with/without Pt nanoparticles derived from a modified Hummer’s method and the polyol process were investigated as support materials for electrocatalysts and additives in the cathode of a PEMFC, respectively. Pt/F-GNR showed the lowest degradation rate in carbon corrosion, and was effective in the cathode as additives, resulting from the enhanced carbon corrosion durability owing to the improved structural stability and water management. Notably, F-GNR with highly stable carbon corrosion contributed to achieving a more durable PEMFC for long-term operation.
The role of the tryptophan-nicotinamide pathway in a model of severe malnutrition induced liver dysfunction
Authors: Hu Guanlan , Ling Catriona , Chi Lijun , Furse Samuel , Koulman Albert , Swann Jonathan , Thind Mehakpreet , Lee Dorothy , Calon Marjolein , Versloot Christian , Bakker Barbara , Gonzales Gerard , Kim Peter , Bandsma Robert 
Published: November 2020

Abstract
Mortality in children with severe malnutrition is strongly related to signs of metabolic dysfunction, such as hypoglycemia. Lower circulating tryptophan levels in children with severe malnutrition suggest a possible disturbance in the tryptophan-nicotinamide (TRP-NAM) pathway and subsequently NAD+ dependent metabolism regulator sirtuin1 (SIRT1). We report that severe malnutrition in weanling mice, induced by feeding a low protein diet, leads to an impaired TRP-NAM pathway and affects hepatic mitochondrial turnover and function. We demonstrate that stimulating the TRP-NAM pathway improves hepatic mitochondrial and overall metabolic function which is dependent on SIRT1. Activating SIRT1 is sufficient to induce improvement in metabolic functions. Our findings indicate that modulating the TRP-NAM pathway can partially improve liver metabolic function in severe malnutrition and could lead to the development of new interventions for children with severe malnutrition.
SARS-CoV-2 infection remodels the host protein thermal stability landscape
Authors: Selkrig Joel , Stanifer Megan , Mateus André , Mitosch Karin , Barrio-Hernandez Inigo , Rettel Mandy , Kim Heeyoung , Voogdt Carlos , Walch Philipp , Kee Carmon , Kurzawa Nils , Stein Frank , Potel Clement , Jarzab Anna , Kuster Bernhard , Bartenschlager Ralf , Boulant Steeve , Beltrao Pedro , Typas Athanasios , Savitski Mikhail 
Published: November 2020

Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global threat to human health and has compromised economic stability. In addition to the development of an effective vaccine, it is imperative to understand how SARS-CoV-2 hijacks host cellular machineries on a systems-wide scale so that potential host-directed therapy can be developed. In situ proteome-wide abundance and thermal stability measurements using thermal proteome profiling (TPP), can inform on global changes in protein activity. Here we adapted TPP to high biosafety conditions amenable to SARS-CoV-2 handling. We discovered pronounced temporal alterations in host protein thermostability during infection, which converged on cellular processes including cell cycle, microtubule and regulation of RNA splicing. Pharmacological inhibition of host proteins displaying altered thermal stability or abundance during infection suppressed SARS-CoV-2 replication. Overall, this work serves as a framework for expanding TPP workflows to globally important human pathogens that require high biosafety containment and provides deeper resolution into the molecular changes induced by SARS-CoV-2 infection.
Progression of Physical Function Decline and Gender Difference Among the Elderly&nbsp;in China: A&nbsp;Multiple-Group Latent Transition Analysis
Authors: Fang Shuai 
Published: November 2020

Abstract
Background: Previous research has shown the physiological basis and empirical evidence for judging representative functional statuses and the functional decline pattern characterized by the specific combination and coevolution of muti-limitations among the elderly. However, as for health measures, under the conventional variable-centered view, studies mostly outlined physical function conditions by quantized severity levels rather than the qualitative profile and possessed the status change just uptrend or downside. This paper's central issue is to identify the constructed latent status of physical function among the Chinese elderly, explore the law of the coexistence and progress of functional limitations, also refine the comprehension of gender inequality with age. Methods: We selected 1578 valid elderly samples who participated in the Chinese Longitudinal Healthy Longevity Survey in 2002, 2008, and 2014, and undertook latent transition analysis to construct the latent status, conduct the membership change overtimes, and examine gender disparity by introducing the multiple-grouplatent model. Results: Chinese elders could be divided into five typical physical functional latent statues.Upper extremity mobility was a distinguishing factor with unimanual dexterity or grip strength. The functional decline started with highly strength-required actions, then, the risk of mobility dysfunction and unimanual indexterity released predominantly, companied by visual and hearing problems. Upper limb disorders rarely occurred alone. The gender differences in distribution and transition of functional status were both distinguishable(ΔG2=74.59,df=4,p<0.000;ΔG2=110.86,df=40, p<0.000). Male elderly preferred maintaining extreme states with a lower risk of deterioration and a higher chance of recovery; females tended toward an unhealthier state and sank into the middle state. Whether gender inequality within physical health expands or shrinks with aging was related closely to the initial status. Conclusion: This study bridges the gap between individualized studies and health measures by typology reference, differentiating the key functional stage and persons at risk. Medical treatments could prioritize the upper limb mobility recure and the strength enhance. Health equity promotion should consider gender typing and original status. Further, individual behaviors under diverse health types would be compared to demonstrate the heterogeneity in real needs and formulate targeted health interventions.
WITHDRAWN: Clinical Applicability of Gait Analysis in the Early Detection of Cognitive Decline: A Cross-Sectional Study.
Authors: de Mettelinge Tine Roman , Desimpelaere Patrick , Cambier Dirk 
Published: November 2020

Abstract
BACKGROUND Although promising results concerning dual-task gait predicting dementia progression in older adults with Mild Cognitive Impairment have been established, the question remains whether this can also be applied to older adults who are not yet suffering from overt cognitive impairments. Spatiotemporal gait analysis has proven to be valuable and reliable in this context. Nevertheless, these instruments are not common in clinical environments. This study aims to investigate whether easy applicable, inexpensive instruments can be used in the detection of gait alterations associated with early cognitive decrements.METHODS Eighty-two healthy community-dwelling older adults (age 60-89) with a MMSE ≥27 were enrolled in this study. Gait analyses using 10-meter walk test (10MWT) and GAITRite-instrument were performed under single and dual-task conditions. Performance on MMSE, CDT, MoCA, TMT-A, TMT-B, Digit Span Forward and Digit Span Backward were registered. Based on the tertiles of dual-task costs (DTC), subjects were categorized as “poor walkers” or “good walkers”. Comparative and predictive statistical analyses were conducted.RESULTS During both types of dual-task 10MWT “poor walkers” performed significantly worse on CDT, MMSECDT, TMT-A and Digit Span Backward compared to “good walkers”. Spatiotemporal gait analysis revealed that temporal DTC resulted in poorer performance on MMSE, CDT, MMSECDT and MoCA orientation whereas spatial DTC showed significantly lower scores on MoCA language, TMT-B and ΔTMT for “poor walkers” compared to “good walkers”. The effort it took to perform either the verbal fluency or the arithmetic dual-task during 10MWT predicted TMT-A and Digit Span Backward outcome. Regarding spatiotemporal dual-task gait analysis, performance on MMSE could be predicted by DTC stride velocity and performance on MoCA language could be predicted by DTC step and stride length.CONCLUSIONS Poor walking abilities can be associated with early cognitive decrements, even in a very early stage when cognitive performance is still more or less intact. Poor walking performance might therefore be considered a clinical precursor or warning signal for beginning cognitive decline. The subtle cognitive and gait decrements can be identified using inexpensive tools, which are easy applicable in all clinical settings.Trial registration Not applicable