bluuebunny/crossref_metadata_2025_split huggingface dataset:
Who is mentally healthy? Mental health profiles of Japanese social networking service users with a focus on LINE, Facebook, Twitter, and Instagram
Authors: Sakurai Ryota , Nemoto Yuta , Mastunaga Hiroko , Fujiwara Yoshinori 
Published: March 2021

Background
Both negative and positive associations between social networking service (SNS) usage and mental health have been suggested by previous studies; however, their differences by type of SNS and age remain unclear. We addressed this issue based on the frequency of traditional communication such as face-to-face and non-face-to-face communication (e.g., phone, email, and letters).

Methods
In total, 8,576 individuals participated, including 2,543 aged 18–39, 3,048 aged 40–64, and 2,985 aged over 65 years. They were asked to indicate their frequency of SNS usage, both for posting and checking, of LINE (a popular message application in Japan), Facebook, Twitter, and Instagram, with frequent usage defined as posting or checking more than a few times a week. To determine mental health status, WHO-5 (i.e., well-being), K6 (i.e., distress symptoms), and feelings of loneliness were assessed. Multiple and logistic regression analyses were adjusted for the frequency of traditional communication. To avoid type 1 error, a Bonferroni correction of p ≤ 0.002 was applied in the regression models (p = 0.05/18, a number of regression models).

Results
The most frequently used SNS across the three age groups was LINE; frequent usage (both posting and checking) among older adults was independently associated with better well-being. Frequent posting on Facebook was associated with better well-being in middle-aged adults. Young adults who frequently checked on Instagram showed a tendency toward better well-being and lower distress symptoms. On the contrary, frequent usage of Twitter was associated with distress symptoms or feelings of loneliness across all three age groups.

Conclusions
We found generational and SNS-type-dependent negative and positive associations between SNS use and mental health, indicating the possible influences of SNS use and the importance of non-SNS communication.
Cohort profile: St. Michael’s Hospital Tuberculosis Database (SMH-TB), a retrospective cohort of electronic health record data and variables extracted using natural language processing
Authors: Landsman David , Abdelbasit Ahmed , Wang Christine , Guerzhoy Michael , Joshi Ujash , Mathew Shaun , Pou-Prom Chloe , Dai David , Pequegnat Victoria , Murray Joshua , Chokar Kamalprit , Banning Michaelia , Mamdani Muhammad , Mishra Sharmistha , Batt Jane 
Published: March 2021

Background
Tuberculosis (TB) is a major cause of death worldwide. TB research draws heavily on clinical cohorts which can be generated using electronic health records (EHR), but granular information extracted from unstructured EHR data is limited. The St. Michael’s Hospital TB database (SMH-TB) was established to address gaps in EHR-derived TB clinical cohorts and provide researchers and clinicians with detailed, granular data related to TB management and treatment.

Methods
We collected and validated multiple layers of EHR data from the TB outpatient clinic at St. Michael’s Hospital, Toronto, Ontario, Canada to generate the SMH-TB database. SMH-TB contains structured data directly from the EHR, and variables generated using natural language processing (NLP) by extracting relevant information from free-text within clinic, radiology, and other notes. NLP performance was assessed using recall, precision and F1 score averaged across variable labels. We present characteristics of the cohort population using binomial proportions and 95% confidence intervals (CI), with and without adjusting for NLP misclassification errors.

Results
SMH-TB currently contains retrospective patient data spanning 2011 to 2018, for a total of 3298 patients (N = 3237 with at least 1 associated dictation). Performance of TB diagnosis and medication NLP rulesets surpasses 93% in recall, precision and F1 metrics, indicating good generalizability. We estimated 20% (95% CI: 18.4–21.2%) were diagnosed with active TB and 46% (95% CI: 43.8–47.2%) were diagnosed with latent TB. After adjusting for potential misclassification, the proportion of patients diagnosed with active and latent TB was 18% (95% CI: 16.8–19.7%) and 40% (95% CI: 37.8–41.6%) respectively

Conclusion
SMH-TB is a unique database that includes a breadth of structured data derived from structured and unstructured EHR data by using NLP rulesets. The data are available for a variety of research applications, such as clinical epidemiology, quality improvement and mathematical modeling studies.
Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection
Authors: Weiss Julian J. , Attuquayefio Tuki N. , White Elizabeth B. , Li Fangyong , Herz Rachel S. , White Theresa L. , Campbell Melissa , Geng Bertie , Datta Rupak , Wyllie Anne L. , Grubaugh Nathan D. , Casanovas-Massana Arnau , Muenker M. Catherine , Moore Adam J. , Handoko Ryan , Iwasaki Akiko , Martinello Richard A. , Ko Albert I. , Small Dana M. , Farhadian Shelli F. ,   the Yale IMPACT Research Team
Published: March 2021

Introduction
Healthcare workers (HCW) treating COVID-19 patients are at high risk for infection and may also spread infection through their contact with vulnerable patients. Smell loss has been associated with SARS-CoV-2 infection, but it is unknown whether monitoring for smell loss can be used to identify asymptomatic infection among high risk individuals. In this study we sought to determine if tracking smell sensitivity and loss using an at-home assessment could identify SARS-CoV-2 infection in HCW.

Methods and findings
We performed a prospective cohort study tracking 473 HCW across three months to determine if smell loss could predict SARS-CoV-2 infection in this high-risk group. HCW subjects completed a longitudinal, behavioral at-home assessment of olfaction with household items, as well as detailed symptom surveys that included a parosmia screening questionnaire, and real-time quantitative polymerase chain reaction testing to identify SARS-CoV-2 infection. Our main measures were the prevalence of smell loss in SARS-CoV-2-positive HCW versus SARS-CoV-2-negative HCW, and timing of smell loss relative to SARS-CoV-2 test positivity. SARS-CoV-2 was identified in 17 (3.6%) of 473 HCW. HCW with SARS-CoV-2 infection were more likely to report smell loss than SARS-CoV-2-negative HCW on both the at-home assessment and the screening questionnaire (9/17, 53% vs 105/456, 23%, P < .01). 6/9 (67%) of SARS-CoV-2-positive HCW reporting smell loss reported smell loss prior to having a positive SARS-CoV-2 test, and smell loss was reported a median of two days before testing positive. Neurological symptoms were reported more frequently among SARS-CoV-2-positive HCW who reported smell loss compared to those without smell loss (9/9, 100% vs 3/8, 38%, P < .01).

Conclusions
In this prospective study of HCW, self-reported changes in smell using two different measures were predictive of SARS-CoV-2 infection. Smell loss frequently preceded a positive test and was associated with neurological symptoms.
Aplicativos móveis
Authors: Coutinho Werbert Augusto , Almeida Veronica Eloi de , Jatobá Alessandro 
Published: March 2021

O avanço rápido das tecnologias de dispositivos móveis, com uma grande variedade de aplicativos, têm provocado mudanças na sociedade contemporânea. Nesse novo cenário, os comportamentos, as formas de comunicação e as interações, ficaram cada vez mais dinâmicas. No campo educacional, os aplicativos móveis usados como recurso didático também apresentam potencialidade para transformar os processos pedagógicos, principalmente entre os nativos digitais. Indagamos em nossa pesquisa, se o uso de aplicativos móveis educacionais em sala de aula pode favorecer o ensino e aprendizagem de Probabilidade e Estatística, especialmente, em alunos da modalidade Educação de Jovens e Adultos, Ensino Médio. Diante desse questionamento, desenvolvemos uma pesquisa com o objetivo de avaliar a aquisição de habilidades e competências na área de matemática, a partir do uso dos aplicativos móveis educacionais. Realizou-se uma pesquisa de campo com 46 alunos do módulo IV da EJA de um colégio da Rede Estadual do Rio de Janeiro. Os alunos foram divididos em grupos, onde um dos grupos utilizou os aplicativos móveis como recurso didático e o outro não. Os dados foram coletados por meio de testes, questionário e observações. Diante disso, verificou-se que os resultados apresentados demonstram que os aplicativos móveis educacionais podem motivar e auxiliar os alunos a resolverem as atividades matemáticas, além de favorecer o processo de aprendizagem de alunos da EJA Ensino Médio.
Sosialisasi kesadaran hukum lingkungan Pada Masyarakat Pinggiran Sungai di Kabupaten Barito Kuala
Authors: Kiptiah Mariatul 
Published: March 2021

Kesadaran hukum masyarakat merupakan salah satu bagian dari budaya hukum, yang ada dimasyarakat sesuai indikator pengembangan yang akan dikembangkannya. Kesadaran hukum lingkungan adalah yang terdiri atas tiga bagian, yaitu, Insfrastruktur, informasi, dan alat yang digunakan untuk memproduksi dan mendistribusikan kesadaran hukum masyarakat. Oleh karena didorong keinginan untuk membantu para masyarakat dalam mengembangkan kesadaran hukum lingkungan supaya memanfaatkan sesuai dengan tempatnya, karena banyak masyarakat salah memaknai kesadaran hukum.
Combining Instrumental Monitoring and High-Resolution Topography for Estimating Sediment Yield in a Debris-Flow Catchment
Authors: Coviello Velio , Theule Joshua I. , Crema Stefano , Arattano Massimo , Comiti Francesco , Cavalli Marco , LucÍa Ana , Macconi Pierpaolo , Marchi Lorenzo 
Published: March 2021

ABSTRACT
In mountain basins, long-term instrumental monitoring coupled with high-resolution topographic surveys can provide important information on sediment yield. The Gadria catchment, located in the eastern Italian Alps, typically features several low-magnitude flood episodes and a few debris-flow events per year, from late spring to late summer. Beginning in 2011, sensors devoted to debris-flow detection (geophones, video cameras, flow stage sensors) were installed along the main channel, upstream of a retention basin. In case of debris flows, high-resolution topographical surveys of the retention basin are carried out multiple times per year. Rainfall is measured in the lower part of the catchment and at the headwaters, while passive integrated transponder tracing of bedload was performed in the main channel during spring and summer 2014. In this work, we present the reconstruction of the sediment dynamics at the catchment scale from 2011 to 2017. Results show that (i) coarse sediment yield is dominated by the few debris flows occurring per year; (ii) debris-flow volume estimations may be significantly different—up to 30 percent lower—when performed through a digital elevation model of difference analysis, compared to the time-integration of the debris-flow discharge estimates; (iii) using this latter method, the volumes are affected by significant uncertainties, particularly for small values of flow depth; and (iv) rainfall analysis permits us to characterize debris-flow initiation but also highlights difficulties in discriminating triggering from non-triggering rainstorms if based on rainfall duration and intensity only.
Probability-Derived Risk-Model: Lowers Costs through Reduction in Backup Tool Requirements, Improves Return on Capital Employed for the Contractor, and Reduces Scope 1 CO2 Emissions
Authors: Johannesen Steven , Lagarigue Thomas , Shearer Gordon , Owen Karen , Wood Grant , Hendry Will 
Published: March 2021

Abstract
A review of the utilization of Drilling Equipment highlighted an opportunity to lower operational cost for the Operator, reduce Capital Employed for the Service Company, and reduce industry Scope 1 CO2 emissions. The Operator and the Oilfield Services Company set the objective of developing a risk-based probability model that could be used to assess the positive and negative financial impacts of reducing, or perhaps entirely removing, the need for backup drilling tools in the historically risk-averse UK North Sea. The scope of the analysis was to be a drilling campaign on a single rig contracted by the Operator (Rig A).
The last three years of Drilling tool reliability data from North Sea operations, as recorded by the Drilling Service Provider, were used as an input. To assess the probability of failure, a Binomial Model was developed to create a Binomial Distribution for each tool, before determining the probability of failure of a given drilling string. The method calculates the probability of having 0 to X failures for a selected Drilling tool/string for a given number of runs. Three Binomial Models were developed to analyze the effect of "Easy", "Moderate" and "Challenging" drilling environments on drilling tool reliability. A financial risk model was developed that balanced the probability-weighted cost of failure for the Operator against the lower costs resulting from reduced tool provision by the Service Provider. In order to better estimate the risks and financial impacts on the project, Sensitivity Analysis was performed on the financial risk model using the three Binomial Models. Scope 1 CO2 emission reductions result from fewer logistical movements and diminished backup tool manufacturing requirements.
As a result of the analysis, it was shown that recent improvements in tool reliability support a reduction in backup Drilling tools for the majority of North Sea drilling scenarios, meeting the objective of reducing well construction cost while lowering carbon footprint.
Open discussions, focused on maximizing economic hydrocarbon recovery, reducing costs for the Operator, improving Return on Capital Employed for the Oilfield Services Provider and reducing Scope 1 CO2 emissions, resulted in a commercial model that could deliver a Win-Win scenario for all parties.
It was observed that the approach was scalable, and would deliver further benefit from a broader workscope, generating "network" benefits when applied to a cluster of rigs, and/or an entire play/basin. In addition, the risk model can be applied to alternative industry scenarios where strong reliability data exist.
Some Technical and Economic Consequences of Directional Drilling and Surveying Progress and Success
Authors: Sawaryn Steven J. , Lowdon Ross , Thorogood John L. 
Published: March 2021

Abstract
Directional drilling and surveying methods and capabilities have advanced considerably over the last four decades. Progress in this field represents some of the most innovative and notable technical achievements in recent years. However, these successes have introduced a level of complexity which may be hampering further progress. Some of the consequences are identified and examined and suggestions made as to how these might be managed.
The developments have resulted in greater accuracy and reliability of tools and systems with associated economic advantages. Step outs have grown four-fold, horizontal laterals are routine and closely spaced wells can be drilled with confidence. Using steerable systems, well inclinations have reached 164.7° and more recently a horseshoe shaped well has been reported. The earlier software tools and analytic methods did not envisage these situations, but their capabilities have evolved. In this specialist field, heavy reliance has been placed on the work and de-facto standards of the various sub-committees that comprise the SPE Well Positioning Technical Section (WPTS) involving both operators and service companies. The tradition of cooperation between these volunteers is strong and together they have produced a range of technical papers, error models, e-books and training courses. Formal regulation and recommended practices have not kept pace with these developments. Work on the proposed API RP 78 has progressed more slowly than the ambitious timeline envisioned at the outset. With the burgeoning introduction of new systems and methods, complexity has also grown. The accumulated material poses an increasing maintenance burden, increasing cycle times and slowing both technical and administrative developments. By their nature, models are approximations and a balance between simplicity and complexity is required to ensure their predictions are fit for purpose and control can be maintained over their development without stifling innovation. Many of the tasks associated with managing the WPTS knowledge base are administrative and do not require extensive technical expertise. Alleviating this burden from the volunteers would free up valuable time to address important technical advancements and refine the framework in which these are managed. The loss of expertise in this specialist subject is being accelerated by the recent down-turn and exacerbated by the COVID pandemic.
We conclude that there is a need to move the administration of the WPTS resources onto a more sustainable footing and that external funding will ensure that the knowledge base is consolidated and keeps pace with continuing developments. Funding alone is not a guarantee of success as the activities are still subject to the vagaries of volunteer commitment and careful management will be required. However, the WPTS has a sound 25-year track record of proven delivery and it remains the natural choice to spearhead these activities.
Improved Drilling Operations with Wired Drill Pipe and Along-String Measurements – Learnings and Highlights from Multiple North Sea Deployments
Authors: Nygård Børge Engdal , Andreassen Espen , Carlsen Jørn Andre , Ulfsnes Gunn Åshild , Øksenvåg Steinar , Stabell Rina , Davis Thomas , Naterstad Tarje Livik , Zainoune Sanna , Vandvik Eirik 
Published: March 2021

Abstract
Over the last few years, multiple wells have been drilled in the Norwegian Continental Shelf (NCS) and the United Kingdom Continental Shelf (UKCS) using wired drill pipe (WDP). This paper captures highlights from using real-time downhole measurements provided by WDP, for improved drilling operations. It presents learnings on how WDP measurements have been used in the operator's decision process.
As part of WDP, along-string measurement subs (ASM) are equipped with temperature, annular/internal pressure, rotation and vibrations sensors. Data is transmitted to surface at high speed and is available in real-time, even when flow is off. The data provide great insight into the hole conditions along the drill string and at the bottom hole assembly (BHA). Based on this insight, drilling parameters at surface can be accurately adjusted, resulting in increased overall efficiency.
Large data amounts can be communicated to and from surface with negligible time delay and independent from fluid circulation. Displaying the downhole measurements in real-time, both at the rig site and in remote operations centers has proven essential when optimising well construction activities. All parties need to access the same information in real-time. Moreover, the data need to be presented in an intuitive manner that enable improved operational decisions. To maximize WDP values, the Operator has learned that downhole data must be used to adjust drilling operations in real-time.
Combining Live Drilling Data Stream with a Cloud Data Analytics Pipeline to Perform Real-Time Automated Projections to the Bit
Authors: Cardoso Braga Daniel , Kamyab Mohammadreza , Harclerode Brian , Joshi Deep 
Published: March 2021

Abstract
During drilling, surveys to determine the wellbore trajectory are performed at every drilling connection. However, due to the offset between the survey instrument and the bit (typically between 30-100 ft), this survey represents the sensor's position which is lagged compared to the bit. This paper describes a method to automatically calculate projections to the bit in real-time utilizing multiple data sources: WITSML stream, BHA components and rotary trend analysis while rotary drilling. The projection to the bit calculation routine is performed in real time every 30 seconds. This paper presents results of projections for four horizontal unconventional wells drilled in West Texas. Nearly 75,000 projections were generated on the four wells, validated with 839 survey stations, with median divergence of the projections from the nearest survey stations being less than one foot.
Disconnect Tool Successfully and Efficiently Cements Electromagnetic Gauge Assembly in Place to Provide Key Reservoir Data
Authors: Dimcea Alexandru , Massie Iain , French Simon , Smith Dan 
Published: March 2021

Abstract
An operator developing a deepwater field in the eastern Mediterranean required to monitor pressures in an upper sand section while producing from the main lower sands. If communication existed between the two zones, a planned late-life workover could be eliminated, reducing development cost. Gauges placed across the upper sands in a pilot hole would transmit pressure data to the production bore using electromagnetic (EM) transmission technology. Ensuring isolation of these gauges by cement was identified as critical in enabling effective EM data transmission and therefore a great deal of focus was placed on the design of the cement job.
To perform the operation in as efficient manner as possible a tailored assembly was developed consisting of electronic gauges and EM relays isolated by open hole packers, along with a cementing assembly to allow cementation of the upper part of the string which included an EM receiver and relay in place. The cementing assembly consisted of a frac sleeve to allow the completion to be run and cemented in place, and a disconnect tool for the drill string to be disconnected in one run. Once disconnected from the completion, the abandonment of the pilot hole could continue without a trip out of the hole, saving significant time and costs to the operator.
The cementjob design was tailored and verified by lab testing and software modelling to meet the objectives of the job and the unique challenge associated with the placement method proposed. Once the completion was installed in the production bore, communication between the gauges through the EM transmission system was confirmed and monitored during the subsequent well cleanup. The communication test verified annular isolation and system operability. Furthermore, upper and lower zonal isolation was proven by monitoring the gauge data in an interference test when flowing another well.