bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Calendar Study: Reliability and Validity of the Weekly Calendar Planning Activity (WCPA) to Assess Executive Function (EF) in College Students
Authors: Chu Eddie , Nagata Rashelle , Tobey Patricia , Goodfellow Margaret , Tao Katherine , Mehta Ria , Vigen Cheryl , Cermak Sharon 
Published: September 2020

Abstract
Date Presented 03/28/20
This study examined reliability and validity of the WCPA, an assessment of EF. Participants were 300 college students. Performance on two levels of the WCPA was compared to other EF measures and between students with and without learning differences. There were small–moderate correlations between tests with Level II and no differences between students with and without learning differences, necessitating a more challenging version of the WCPA.
Primary Author and Speaker: Eddie Chu
Additional Authors and Speakers: Rashelle Nagata, Margaret Goodfellow, Katherine Tao, Ria Mehta, Sharon Cermak
Contributing Authors: Patricia Tobey, Cheryl Vigen
A Randomized Controlled Trial Comparing Electromyography-Triggered, Cyclic, and Sensory Electrical Stimulation
Authors: Page Stephen , Chae John , Wilson Richard 
Published: September 2020

Abstract
Date Presented 03/28/20
Stroke-induced arm weakness is a leading cause of worldwide disability. OT practitioners commonly employ this modality, but it is unclear which type of electrical stimulation works best for people with stroke-induced weakness. This study compared the efficacy of three types of electrical stimulation for people zero to six months poststroke. We found that all three types of stimulation worked equally well.
Primary Author and Speaker: Stephen Page
Contributing Authors: John Chae, Richard Wilson
Using Eye Tracking to Identify Left Unilateral Spatial Neglect (USN) in Persons With an Acute Right Hemisphere Stroke
Authors: Escalante Gabrielle , Watters Kelsey , Cherney Leora , Ashaie Sameer 
Published: September 2020

Abstract
Date Presented 03/28/20
USN is a common occurrence in right hemisphere stroke survivors. However, no gold standard measure of USN exists. We investigated whether eye tracking is a sensitive measure of left USN in eight people with acute right hemisphere stroke. Eye tracking was found to be more sensitive than paper-and-pencil–based tests and comparable to functional assessments of USN. We suggest that eye tracking may be a quick and effective way to screen for left USN.
Primary Author and Speaker: Kelsey Watters
Contributing Authors: Gabrielle Escalante, Leora Cherney, Sameer Ashaie
Is There a Correlation Between Hamilton Depression Rating Scale (HDRS) Scores and Self-Reported Levels of Physical Activity in People With Parkinson’s Disease?
Authors: Denney Linda , Landess Kaitlyn , Ivy Cindy , McKay Michelle 
Published: September 2020

Abstract
Date Presented 03/28/20
The study is a descriptive research design analyzing correlations between HDRS scores and self-reported physical activity levels. The purpose is to determine the possible relationship between self-reported physical activity and depression in individuals with Parkinson’s disease. The results can influence the field of OT by informing practice to consider tracking activity and participation to help combat depression with Parkinson’s disease.
Primary Author and Speaker: Kaitlyn Landess
Additional Authors and Speakers: Cindy Ivy
Contributing Authors: Linda Denney, Michelle McKay
PROMIS Self-Efficacy for Managing Symptoms for Individuals With Chronic Conditions: Validity and Reliability Using Rasch Analysis
Authors: Kang Jaewon , Romero Sergio 
Published: September 2020

Abstract
Date Presented 03/28/20
Although there are various measurements of self-efficacy, most of them are disease-specific or not specifically aimed at measuring symptom management. PROMIS self-efficacy can examine the current level of confidence in managing symptoms for patients with chronic conditions. We used Rasch analysis to examine the psychometrics of the PROMIS self-efficacy for managing symptoms. Clinicians can evaluate their patients’ self-efficacy for symptom management and provide evidence-based treatments.
Primary Author and Speaker: Jaewon Kang
Contributing Authors: Sergio Romero
Effectiveness of Occupational Therapy Sensory Interventions for Children and Adolescents: A Systematic Review
Authors: Battin Victoria , Panzone Julia , Fish Marguerite , Lorthioir Nicole , Odierna Justine , Dow Andrea , Regimbald Alexandra , Lukovich Gabrielle , Heitmann Taylor , Eberley Morgan 
Published: September 2020

Abstract
Date Presented 03/28/20
A systematic review of literature from 2010 to 2019 yielded 2,035 studies of sensory interventions for children and youth. Using established criteria, 22 qualifying studies were identified that spanned six interventions: environmental modifications, deep touch pressure, sensory integration, sensory diet, weighted vests, and stability balls. Strong evidence supported one approach, with moderate evidence in support of three approaches. The results yielded moderate evidence against two approaches.
Primary Author and Speaker: Victoria Battin
Additional Authors and Speakers: Julia Panzone, Marguerite Fish, Nicole Lorthioir, Justine Odierna, Andrea Dow, Alexandra Regimbald, Gabrielle Lukovich, Taylor Heitmann, Morgan Eberley
Development of a Wellness Intervention for Caregivers of Patients Undergoing Hematopoietic Stem Cell Transplantation (HSCT): The Ready to CARE Program
Authors: Morency Jamme , Lyons Kathleen , Root Lynn , Caldon Kate , Hayes Christi , Brighton Susan 
Published: September 2020

Abstract
Date Presented 03/28/20
HSCT is a lengthy and debilitating cancer treatment. Caregivers of HSCT recipients report distress and reductions in their own self-care. A caregiver wellness intervention based on behavioral activation was developed and implemented in order to assess its feasibility and acceptability. Future research will explore the efficacy of the intervention, which is well-suited for delivery by OTs working in cancer rehabilitation.
Primary Author and Speaker: Jamme Morency
Additional Authors and Speakers: Kathleen Lyons
Contributing Authors: Lynn Root, Kate Caldon, Christi Hayes, Susan Brighton
Effectiveness of Occupational Therapy as a Nonpharmacologic, Multicomponent Intervention in the Treatment of Delirium in Hospitalized Patients
Authors: Monaghan Emma , Rajan Ashna , Blanchard Gary 
Published: September 2020

Abstract
Date Presented 03/28/20
A novel care model was created to assess the effectiveness of OT as a nonpharmacologic, multicomponent intervention in the prevention and treatment of delirium in hospitalized patients. Given that “only 12 to 35% of delirium cases are recognized,” patients with “altered mental status” received priority evaluation from OT (Ramirez, 2014). Preliminary research has been promising and indicates benefits of OT utilization as an effective discipline in the treatment of delirium.
Primary Author and Speaker: Emma Monaghan
Additional Authors and Speakers: Ashna Rajan
Contributing Authors: Gary Blanchard
Estimativa da altura da camada limite planetária no Centro de Lançamento de Alcântara
Authors: Ramos Diogo , Fisch Gilberto 
Published: September 2020

Sea and land breeze circulation and the internal boundary layer are some aspects that make it difficult to determine the coastal Planetary Boundary Layer (PBL) height (h). This paper evaluates the h estimation for the Alcantara Launch Center (CLA) in Maranhão state using 14 months of remote measurements obtained by a ceilometer and by the ERA5 reanalysis. This response depends on the concentration of aerosols and atmospheric humidity present. Mean results indicated that dry months (September to November, with = 637 488 m) tend to have less hourly and seasonal variability of h compared to wet months (March to May, with = 770 912 m). A higher mean error in the wet season was obtained with ERA5 PBL h (h = 708 53 m over the land; e h = 648 46 m over the ocean) than in the dry season (h = 18 89 m; e h = 46 77 m). The greater amount of atmospheric humidity during the rainy season increases the estimation uncertainty. This condition was more frequent at night due to typical rainfall in the place.
Modelagem Matemática da Taxa de Armazenamento de Energia em Área de Floresta da Amazônia
Authors: Mendonça Anne Cristiny Santos de , Michiles Alessandro Augusto dos Santos 
Published: September 2020

The total above-ground thermal energy storage rate (S) over an area of a “terra firme” forest site in central Amazonia, Brazil, were estimated through of the direct measurements of heat flux componentes (S Obs) as well as through methodologies proposed by Michiles (2009), in which numerical analysis (S Num) and simple harmonic functions (S Mod) were applied, this last one, due to heterogeneity and biodiversity of the Amazon rainforest, of difficulties and errors related with measurement, a limited range of data were used. Were determined, during dry season of 2003, a set of forest information and meteorological variables measured through systems installed in a micrometeorological tower, assembled at Reserva Biológica do Cuieiras. In this period, days without rainfall and with little atmospheric disturbances were selected. In the daily average maximum behavior, S Obs showed the highest magnitudes, reaching up to 200 W m-2, while S Mod and S Num remained with lower values, about 62 and 108 W m-2, respectively. About 5 and 6 pm (local time), the energy release process was started, with all rates becoming negative and the daily average minimum behavior reached values between -45 and -67 W m-2.
Les médias : un reflet de la relation entre homogénéité et hétérogénéité sociale
Authors: Gervais Roger 
Published: September 2020

Par l’entremise des idées diffusées par les médias écrits, cet article étudie la manifestation de la relation entre l’homogénéité et l’hétérogénéité sociales. Notre échantillon, composé de 11 020 articles provenant d’hebdomadaires et de quotidiens canadiens et français, permet d’observer comment deux cultures différentes, une canadienne et l’autre française, peuvent partager des idées similaires, tout en maintenant leur individualité. Si les phénomènes de l’homogénéité et de l’hétérogénéité sont souvent perçus comme contradictoires, cet article mettra cette perception au défi.
A Novel Mathematical Equation for a Noninvasive Determination of the Number of Alveoli of the Human Lung
Authors: Udema Ikechukwu I. 
Published: September 2020

Background: There had always been a spirited effort in understanding the transport of air or molecular oxygen plus other gases from alveolar air space into the pulmonary capillaries and from the latter back into the former using mathematical models; the determination of the number of alveoli using cadaver and invasive and partially noninvasive methods have been made. There is a need for a noninvasive method of mathematical nature, with evaluative, diagnostic, and prognostic application.
Objectives: The objectives of this research were to derive a mathematical equation for the noninvasive determination of the number of alveoli during rest and physical activity and elucidate the usefulness and advantage of the model over known methods.
Methods: Theoretical and computational (calculational) methods; data in the literature were substituted into the model mathematical equation for the computation of the number of alveoli in the human lungs.
Results and Discussion: The computed number (Nalv) of alveoli differed from one country or subcontinental region to another. The Nalv for the male were expectedly larger than for the female subjects.
Conclusion: The mathematical equation for totally noninvasive determination by computation is derivable and was derived. The total number (Nalv) of alveoli mobilised for function is a function of the width (d) of the nares (d 22/15), rate (Rv) of gas flow , and radius (ralv) of a functional alveolus . The equation has the potential to be of diagnostic, evaluative and prognostic value in medical practice. This new computational approach could be faster than other known approaches for the determination of the Nalv. A noninvasive approach by computation, relying on other noninvasively determined respiratory parameters, can eliminate the possibility of tissue damage.
Cavitation‐Inducible Mesoporous Silica–Titania Nanoparticles for Cancer Sonotheranostics
Authors: Lee Jeongjin , Kim Jae‐Hyun , You Dong Gil , Kim Sohyun , Um Wooram , Jeon Jueun , Kim Chan Ho , Joo Hyeyeon , Yi Gi‐Ra , Park Jae Hyung 
Published: September 2020

AbstractSonodynamic therapy has received increasing attention for cancer treatments as an alternative to photodynamic therapy. However, its clinical applications have been limited by the lack of a sonosensitizer that is capable of producing sufficient amounts of reactive oxygen species (ROS) in response to ultrasound (US) exposure. Herein, PEGylated mesoporous silica–titania nanoparticles (P‐MSTNs) are prepared and used as US‐responsive nanocarriers for cancer sonotheranostics. Perfluorohexane (PFH), which is chosen as the gas precursor, is physically encapsulated into P‐MSTNs using the oil‐in‐water emulsion method. Owing to the vaporization of the gas precursor, PFH@P‐MSTNs (137 nm in diameter) exhibit a strong photoacoustic signal in vivo for at least 6 h. Compared to P‐MSTNs, PFH@P‐MSTNs generate significantly higher amounts of ROS due to the nanobubble‐induced cavitation in the presence of US. When systemically administered to tumor‐bearing mice, PFH@P‐MSTNs effectively accumulate in the tumor site due to the passive targeting mechanism. Consequently, PFH@P‐MSTNs show much higher antitumor efficacy than P‐MSTNs due to the enhanced cavitation‐mediated ROS generation in response to US exposure. It is considered that PFH@P‐MSTNs may hold significant potential for cancer sonotheranostics.
Full Manipulation of the Power Intensity Pattern in a Large Space‐Time Digital Metasurface: From Arbitrary Multibeam Generation to Harmonic Beam Steering Scheme
Authors: Shabanpour Javad 
Published: September 2020

AbstractBeyond the scope of space‐coding metasurfaces, space‐time digital metasurfaces can substantially expand the application scope of digital metamaterials. In this paper, by adopting a superposition operation of terms with unequal coefficients, Huygens' principle, and a proper time‐varying biasing mechanism, some useful closed‐form formulas in the class of large digital metasurfaces are presented for predicting the absolute directivity of scatted beams. Moreover, in the harmonic beam steering scheme, by applying several suitable assumptions, two separate expressions are derived for calculating the exact total radiated power at harmonic frequencies and total radiated power for scattered beams located at the end‐fire direction. Despite the simplifying assumptions applied, it is proved that the provided formulas can still be a good and fast estimate for developing a large digital metasurface with a predetermined power intensity pattern. The effect of quantization level and metasurface dimensions as well as the limitation on the maximum scan angle in harmonic beam steering are addressed. Several demonstrative examples numerically demonstrated through MATLAB software and the good agreement between simulations and theoretical predictions are observed. The author believes that the proposed straightforward approach discloses a new opportunity for various applications such as multiple‐target radar systems and communication.
Urban evaporative consumptive use for water‐scarce cities in the United States and Mexico
Authors: Alger Jessica , Mayer Alex , Kumar Saurav , Granados‐Olivas Alfredo 
Published: September 2020

AbstractIn this work, we estimate urban evaporative consumptive use (urban ECU) in three cities in a semiarid region experiencing water scarcity: El Paso, Texas, and Las Cruces, New Mexico, in the United States and Ciudad Juárez, Chihuahua, in Mexico. Urban ECU includes vegetation and bare soil evapotranspiration (ET) and evaporation from open water, water supply infrastructure losses, and building evaporative coolers. Three independent methods were used to estimate urban ECU from individual ECU components and from utility accounting data. The three methods produced urban ECU estimates that varied by an average of 24%. Most of the disagreement was attributed to potential overestimation of vegetation and bare soil ET. Vegetation and bare soil ET account for up to 90% of total urban ECU. Urban ECU accounts for up to 60% of total annual water demand. Per capita ECU from the U.S. cities is, on average, 149 m3/capita/year, compared with 51 m3/capita/year for Ciudad Juárez.
Surface electrocardiographic characteristics in coronavirus disease 2019: repolarization abnormalities associated with cardiac involvement
Authors: Chen Liang , Feng Yi , Tang Jia , Hu Wei , Zhao Ping , Guo Xiaoxiao , Huang Ninghao , Gu Yuwei , Hu Linjie , Duru Firat , Xiong Chenglong , Chen Mingquan 
Published: September 2020

AbstractAimsThe coronavirus disease 2019 (COVID‐19) has spread rapidly around the globe, causing significant morbidity and mortality. This study aims to describe electrocardiographic (ECG) characteristics of COVID‐19 patients and to identify ECG parameters that are associated with cardiac involvement.Methods and resultsThe study included patients who were hospitalized with COVID‐19 diagnosis and had cardiac biomarker assessments and simultaneous 12‐lead surface ECGs. Sixty‐three hospitalized patients (median 53 [inter‐quartile range, 43–65] years, 76.2% male) were enrolled, including patients with (n = 23) and without (n = 40) cardiac injury. Patients with cardiac injury were older, had more pre‐existing co‐morbidities, and had higher mortality than those without cardiac injury. They also had prolonged QTc intervals and more T wave changes. Logistic regression model identified that the number of abnormal T waves (odds ratio (OR), 2.36 [95% confidence interval (CI), 1.38–4.04], P = 0.002) and QTc interval (OR, 1.31 [95% CI, 1.03–1.66], P = 0.027) were independent indicators for cardiac injury. The combination model of these two parameters along with age could well discriminate cardiac injury (area the under curve 0.881, P < 0.001) by receiver operating characteristic analysis. Cox regression model identified that the presence of T wave changes was an independent predictor of mortality (hazard ratio, 3.57 [1.40, 9.11], P = 0.008) after adjustment for age.ConclusionsIn COVID‐19 patients, presence of cardiac injury at admission is associated with poor clinical outcomes. Repolarization abnormalities on surface ECG such as abnormal T waves and prolonged QTc intervals are more common in patients with cardiac involvement and can help in further risk stratification.
Machine learning approaches to identify and design low thermal conductivity oxides for thermoelectric applications
Authors: Tewari Abhishek , Dixit Siddharth , Sahni Niteesh , Bordas Stéphane P.A. 
Published: September 2020

Abstract
The search space for new thermoelectric oxides has been limited to the alloys of a few known systems, such as ZnO, SrTiO3, and CaMnO3. Notwithstanding the high power factor, their high thermal conductivity is a roadblock in achieving higher efficiency. In this paper, we apply machine learning (ML) models for discovering novel transition metal oxides with low lattice thermal conductivity (

$ {k}_L $

). A two-step process is proposed to address the problem of small datasets frequently encountered in material informatics. First, a gradient-boosted tree classifier is learnt to categorize unknown compounds into three categories of

$ {k}_L $

: low, medium, and high. In the second step, we fit regression models on the targeted class (i.e., low

$ {k}_L $

) to estimate

$ {k}_L $

with an

$ {R}^2>0.9 $

. Gradient boosted tree model was also used to identify key material properties influencing classification of

$ {k}_L $

, namely lattice energy per atom, atom density, band gap, mass density, and ratio of oxygen by transition metal atoms. Only fundamental materials properties describing the crystal symmetry, compound chemistry, and interatomic bonding were used in the classification process, which can be readily used in the initial phases of materials design. The proposed two-step process addresses the problem of small datasets and improves the predictive accuracy. The ML approach adopted in the present work is generic in nature and can be combined with high-throughput computing for the rapid discovery of new materials for specific applications.
Which Household Emergency Plans are More Helpful in Tornadoes? Through the Lens of Gerontology
Authors: Cong Zhen , Liang Daan , Luo Jianjun 
Published: September 2020

ABSTRACTObjective:This study investigated how the effectiveness of household emergency plans during tornadoes was associated with family discussions, and the attributes of the plan for different age groups.Methods:A telephone survey was conducted in 2014, one year after two 2013 Enhanced Fujita 4/5 tornadoes. The working sample included 223 respondents who reported having a household emergency plan before the tornadoes. The latent class analysis was used to identify the patterns of the plans and develop a typology based on their content. Logistic regression was used to examine predictors for plan effectiveness.Results:Two classes of plans were identified: quality plans that were rich in content and limited plans that had lower levels of content richness. Older adults were less likely to have quality plans and less likely to have family discussions. Quality of the plan and discussions with family members increased plan effectiveness among older adults, but not younger adults.Conclusions:Better emergency planning could be more important for older than for younger adults. The findings were discussed from a gerontological perspective that focuses on older adults’ unique needs, vulnerabilities, and resilience factors.
Evaluation of COVID-19 Surveillance Strategy in Ecuador
Authors: Cañizares Fuentes Ricardo , Aroca Rubén , Blasco Carlos Miquel 
Published: September 2020

ABSTRACTObjectives:Evaluate the relevance of the coronavirus disease 2019 (COVID-19) positive case detection policy or model implemented by the Ministry of Public Health (MPH) of Ecuador and to compare it with the experiences of other countries.Methods:Data contained the daily reports publicized by the MPH. The formulations were carried out under the Conditioned Probability modality applying Bayes’ Theorem. All the COVID-19 tests applied in relation to the confirmed cases per million inhabitants were considered to obtain their level of positivity, and compared with the experience of Iceland and South Korea.Results:The probability of detecting positive cases of COVID-19 in Ecuador was higher than Iceland and South Korea, because the diagnostic tests were aimed at symptomatic patients, without identifying asymptomatic or mild symptomatic, who play an important role in the transmission of the disease. In addition, many symptomatic patients were examined but will remain undiagnosed due to the unavailability of tests and the low quality of many of them.Conclusions:The daily reports on the behavior of the COVID-19 issued by the Ecuadorian government do not adequately represent the growth in the number of those infected each day, nor the actual behavior of the epidemic, affecting possible control measures.