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Nevin Manimala Statistics

Spinodal de-wetting of light liquids on graphene

J Phys Condens Matter. 2022 Jan 27. doi: 10.1088/1361-648X/ac4f7e. Online ahead of print.

ABSTRACT

We demonstrate theoretically the possibility of spinodal de-wetting in heterostructures made of light-atom liquids (hydrogen, helium, and nitrogen) deposited on suspended graphene. Extending our theory of film growth on two-dimensional materials to include analysis of surface instabilities via the hydrodynamic Cahn-Hilliard-type equation, we characterize in detail the spatial and temporal scales of the resulting spinodal de-wetting patterns. Both linear stability analysis and direct numerical simulations of the surface hydrodynamics show micron-sized (generally material dependent) patterns of “dry” regions. The physical reason for the development of such instabilities on graphene can be traced back to the inherently weak van der Waals interactions between atomically thin materials and atoms in the liquid. Thus two-dimensional materials could represent a new theoretical and technological platform for studies of spinodal de-wetting.

PMID:35086067 | DOI:10.1088/1361-648X/ac4f7e

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Nevin Manimala Statistics

Examining subjective experience of aberrant salience in young individuals at ultra-high risk (UHR) of psychosis: A 1-year longitudinal study

Schizophr Res. 2022 Jan 24;241:52-58. doi: 10.1016/j.schres.2021.12.025. Online ahead of print.

ABSTRACT

Aberrant salience (AS) is considered as a predisposing factor in early psychosis. Although it has been frequently examined in the general population as a measure of vulnerability to psychotic disorder, empirical evidence on AS in prodromal phases of psychosis is still relatively scarce. Thus, the aims of this research were (1) to investigate any significant association of AS with functioning, psychopathology and treatment components of an “early intervention in psychosis” program in a sample of young community help-seekers at Ultra-High Risk (UHR) of psychosis along a 1-year follow-up period, and (2) to longitudinally monitor the stability of AS across the 1 year of follow-up. Participants (87 UHR), aged 13-35 years, completed the Aberrant Salience Inventory (ASI), the Comprehensive Assessment of At-Risk Mental States (CAARMS) and the brief version of the Schizotypal Personality Questionnaire (SPQ-B) at baseline and after the 1 year of follow-up. Spearman correlation analyses among psychopathological parameters and specialized treatment components were performed. A multiple linear regression analysis was also carried out. After a 1-year follow-up period, UHR subjects had a statistically relevant decrease in ASI total scores. This was significantly related to the number of individual cognitive-behavioral therapy (CBT) sessions and the number of family psychoeducational sessions offered to UHR participants and their family members during the same 12-month period. In conclusion, AS is clinically relevant in UHR individuals. However, it seems to improve over time along with the delivery of tailored, specialized psychosocial interventions for early psychosis.

PMID:35086058 | DOI:10.1016/j.schres.2021.12.025

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Nevin Manimala Statistics

Innovative and thorough practice to certify reference materials for sensory defects of olive oil

Food Chem. 2022 Jan 20;380:132195. doi: 10.1016/j.foodchem.2022.132195. Online ahead of print.

ABSTRACT

An important problem in the olive sector is the occasional mismatch of results obtained by different tasting panels when the same olive oil sample is analysed. These discrepancies could be minimised by using reference materials (RM) for taster training. A comprehensive protocol based on the combined use of sensory and instrumental analysis for the certification of olive oil batches as RMs, developed within the framework of the project ‘Operational Group INTERPANEL’, is proposed. Similarity indices (R2, cosθ and NEAR) applied on GC-MS fingerprints, allow a successful homogeneity and stability assessment of produced batches. Furthermore, the use of robust statistics combined with a set of instructions developed to remove outliers were applied with excellent results on sensory data set provided by supra-panel composed by more than 100 qualified tasters. This work is the first to provide a comprehensive protocol for certification of real olive oil samples as RM for sensory analysis.

PMID:35086013 | DOI:10.1016/j.foodchem.2022.132195

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Nevin Manimala Statistics

Assessing the short-term response of fish assemblages to damming of an Amazonian river

J Environ Manage. 2022 Jan 24;307:114571. doi: 10.1016/j.jenvman.2022.114571. Online ahead of print.

ABSTRACT

The enormous biodiversity of tropical freshwater combined with a considerable increase in the construction of reservoirs urges to understand the ecological effects caused by damming. Using rarely available data obtained before (one year) and after (four years) the filling of a hydroelectric plant on the Teles Pires River (Amazon River basin), the effects on abundance, biomass, and diversity of the fish assemblage were evaluated using two complementary approaches: a BACI (before-after-control-impact) design with mixed models and analyses of covariance. Significant Before-After × Control-Impact interactions in abundance, biomass, and species richness were observed, with decreases of abundance and species richness and more stable biomass after filling. Some abundant species, such as Jupiaba polylepis, Jupiaba acanthogaster, Knodus cf. heteresthes, and Moenkhausia lepidura among others, declined in abundance or disappeared from the impact sites. However, temporal and particularly spatial variation independent of damming explained more variation in all the response variables analyzed, including species composition, and analyses of covariance demonstrated general negative trends irrespective of damming. This study illustrates the usefulness of BACI designs to assess the effects of damming but also that other statistical approaches are complementary, given the difficulty of identifying control sites and the short length of most ecological time series. The results also suggest that preserving tributaries upstream of reservoirs and natural regimes of spatial and temporal environmental variation might help to mitigate the impacts of damming in tropical ecosystems.

PMID:35085970 | DOI:10.1016/j.jenvman.2022.114571

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Nevin Manimala Statistics

Real-time image-based air quality estimation by deep learning neural networks

J Environ Manage. 2022 Jan 24;307:114560. doi: 10.1016/j.jenvman.2022.114560. Online ahead of print.

ABSTRACT

Air quality profoundly impacts public health and environmental equity. Efficient and inexpensive air quality monitoring instruments could be greatly beneficial for human health and air pollution control. This study proposes an image-based deep learning model (CNN-RC) that integrates a convolutional neural network (CNN) and a regression classifier (RC) to estimate air quality at areas of interest through feature extraction from photos and feature classification into air quality levels. The models were trained and tested on datasets with different combinations of the current image, the baseline image, and HSV (hue, saturation, value) statistics for increasing model reliability and estimation accuracy. A total of 3549 hourly air quality datasets (including photos, PM2.5, PM10, and the air quality index (AQI)) collected at the Linyuan air quality monitoring station of Kaohsiung City in Taiwan constituted the case study. The main breakthrough of this study is to timely produce an accurate image-based estimation of several pollutants simultaneously by using only one single deep learning model. The test results show that estimation accuracy in terms of R2 for PM2.5, PM10, and AQI based on daytime (nighttime) images reaches 76% (83%), 84% (84%), and 76% (74%), respectively, which demonstrates the great capability of our method. The proposed model offers a promising solution for rapid and reliable multi-pollutant estimation and classification based solely on captured images. This readily scalable measurement approach could address major gaps between air quality data acquired from expensive instruments worldwide.

PMID:35085968 | DOI:10.1016/j.jenvman.2022.114560

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Nevin Manimala Statistics

Is Bariatric Procedure-Type Associated With Morbidity in Transplant Patients?

J Surg Res. 2022 Jan 24;273:172-180. doi: 10.1016/j.jss.2021.12.029. Online ahead of print.

ABSTRACT

INTRODUCTION: Roux-en-Y Gastric Bypass (RYGB) has been associated with increased weight loss but more complications when compared with sleeve gastrectomy (SG). However, a direct comparison between RYGB and SG has never been performed in patients with a history of solid organ transplantation. The aim of this study was to determine the association between procedure type and surgical outcomes.

MATERIALS AND METHODS: Patients with a history of solid organ transplantation were identified in the Metabolic and Bariatric Surgery Accreditation Quality Improvement Project Participant Use File database from 2017 to 2018. Procedure type (SG versus RYGB) was used to stratify patients. Propensity score matching and multivariable logistic regressions were used, and outcomes were compared.

RESULTS: Of 678 cases identified, 80% (n = 542) underwent an SG and 20% (n = 136) had an RYGB. Patients differed significantly (P < 0.05) by multiple demographic variables. Multivariable regression revealed RYGB to be associated with higher overall morbidity (odds ratio [OR] 1.98; P = 0.012), morbidity related to surgery (OR 2.47; P = 0.002), unplanned readmissions (OR 2.48; P = 0.002), and readmissions related to surgery (OR 2.32; P = 0.016). After propensity score matching, RYGB, compared with SG, was also associated with higher morbidity (14% versus 7.4%; P = 0.077) and readmissions (13% versus 6.6%; P = 0.099) related to surgery, although this did not reach statistical significance.

CONCLUSIONS: In patients with a history of solid organ transplant, RYGB was associated with increased morbidity and readmissions compared with SG.

PMID:35085944 | DOI:10.1016/j.jss.2021.12.029

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Nevin Manimala Statistics

Sleep disorders and ADHD symptoms in children and adolescents with typical absence seizures: An observational study

Epilepsy Behav. 2022 Jan 24;128:108513. doi: 10.1016/j.yebeh.2021.108513. Online ahead of print.

ABSTRACT

OBJECTIVE: To assess the occurrence of sleep disorders (SD) and attention deficit hyperactivity disorder (ADHD) symptoms in children with typical absence seizures (TAS) compared to control children and to evaluate the impact of epilepsy-related factors on sleep and attention in children with TAS.

METHODS: The Sleep Disturbance Scale for Children (SDSC) and the ADHD rating scale were filled in by parents of a cohort composed by 82 children aged from 5 to 15.6 years, 49% of boys (41 with TAS with a syndromic diagnosis of childhood absence epilepsy and 41 controls). For children with TAS, the Pediatric Epilepsy Side Effects Questionnaire was completed. Statistical analyses were conducted in order to compare sleep and attention scores between groups. In children with TAS, a correlation was computed between these scores. Logistics regression models were conducted to identify predictors of excessive diurnal sleepiness and inattention in children with TAS.

RESULTS: Compared to controls, children with TAS had higher total scores for subjective sleep (mean 42.9 vs 38.3, p = 0.05) and attention disorders (mean 16.8 vs 11.6, p = 0.01), especially for excessive diurnal sleepiness (mean 3.9 vs 3.2, p = 0.02) and inattention (mean 9.3 vs 5.6, p = 0.003) components. In children with TAS, sleep problems were significantly under-reported by parents. Sleep disorders symptoms as breathing-related sleep disturbance, excessive diurnal sleepiness or naps at or after 7 years of age were reported. Subjective sleep and attention disorders were significantly correlated (r = 0.43, p = 0.01). Subjective excessive diurnal sleepiness may be the result of a polytherapy (p = 0.05) or a side effect of anti-seizure medication (ASM) (p = 0.03) but children without medication side effects also reported subjective SD. In children with TAS, the risk of inattention symptoms was increased in boys (p = 0.02), with a high BMI (p = 0.05), or with ASM side effects (p = 0.03).

CONCLUSIONS: This study demonstrates that children with TAS are at risk of sleep and attention disorder symptoms. If attention disorders in a context of epilepsy are now widely assessed and identified, sleep disorders are still under-estimated. An accurate identification and management of sleep disorders could improve academic performances, quality of life, and seizure management in children with TAS.

PMID:35085916 | DOI:10.1016/j.yebeh.2021.108513

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Nevin Manimala Statistics

Integration of technology to clinical teaching:The impact of mobile and web-based software automation designed for midwifery students on motivation, time management and anxiety levels

Midwifery. 2022 Jan 10;106:103248. doi: 10.1016/j.midw.2021.103248. Online ahead of print.

ABSTRACT

AIM: This study was performed to assess the impact of a mobile and web-based software system named Midwifery Clinical Automation (EBEKO) and designed by researchers to be used in clinical practices on motivation, time management and anxiety level.

METHOD: The sample of this randomized controlled trial consisted of 60 midwifery students who were randomly and equally assigned to the experimental and control groups. Data were collected between February and May 2019 using “Student Introduction Form”, “Motivation Resources and Problems Scale (MRPS)”, “Time Management Inventory (TMI)” and “Spielberger’s State-Trait Anxiety Inventory (STAI I-II). EBEKO application was designed as a software system ensuring mutual interaction between students and instructors. Students in the experimental group and all instructors of the department of midwifery were trained in terms of using the system. Students were asked to upload the data regarding midwifery care, monitoring and trainings utilized within the clinical practices to the EBEKO. Data uploaded to the system were transferred to the screen designed for the instructors who were in charge. Instructors assessed these forms (for pregnant women/puerperal women/newborns etc.), demanded revisions, approved or returned. Approved forms corresponded to the number of forms needed by the students in the study to graduate. All students in the experimental group used EBEKO system throughout their education period (14 weeks). No interventions were made on the students in the control group. Data were analyzed through the descriptive statistics (frequency, percentage, mean, standard deviation, min-max values), and t-test in the dependent and independent groups.

RESULTS: Students in the experimental and control groups were found to have similar motivation, time management and anxiety level prior to the use of EBEKO. However, after the use of the application, the mean post-test motivation and time management scores of the students in the experimental group significantly increased compared to the control group (p<0.001, p<0.05), but no significant difference regarding the anxiety levels was present between the groups (p>0.05).

CONCLUSION: EBEKO was found to positively affect the motivation and time management of midwifery students.

PMID:35085912 | DOI:10.1016/j.midw.2021.103248

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Nevin Manimala Statistics

Intrinsic foot muscle size and quality in a single leg weight bearing position across foot posture types in individuals with Patellofemoral Pain compared to healthy

Phys Ther Sport. 2022 Jan 19;54:58-64. doi: 10.1016/j.ptsp.2022.01.002. Online ahead of print.

ABSTRACT

OBJECTIVE: To identify if any differences exist in IFM size and quality in single leg weight bearing position between healthy and PFP participants based on foot posture.

DESIGN: Cross-sectional, matched case-comparison study SETTING: University Laboratory Setting PARTICIPANTS: 35 PFP (age:20.46 ± 3.79yrs, mass:73.28 ± 26.58 kg, height:170.80 ± 11.91 cm) and 35 healthy (age:20.40 ± 3.16yrs, mass:64.76 ± 11.52 kg, height:169.55 ± 9.10 cm) participants METHODS: After measuring Foot Posture Index (FPI), ultrasound images (USI) of Abductor Hallucis (AH), Flexor Digitorum Brevis (FDB) and Quadratus Plantae (QP) were taken in a single limb weight bearing position. Cross-sectional area (CSA) and echogenicity were measured on the USI.

RESULTS: FPI was not different between groups (PFP:2.34 ± 3.76, Healthy:2.34 ± 3.10, 9 pronated and 26 non-pronated in both groups). AH CSA was smaller in PFP than healthy group (PFP:0.030 ± 0.01 cm (Smith et al., 2018)/kg, Healthy:0.042 ± 0.01 cm (Smith et al., 2018)/kg, P < 0.001) with a large effect (d = -1.20(-1.71, -0.69). There were no other significant group main effects or group-by-FP interactions in AH/FDB/QP CSA or echogenicity.

CONCLUSION: AH CSA was smaller in PFP than healthy controls, but no difference in CSA or echogenicity of FDB/QP exist, as well as no difference in foot posture between groups. While single limb weight bearing, the PFP group presented with a smaller IFM which provides eccentric control of medial longitudinal arch, which may have implications up the chain during weight bearing functional tasks.

PMID:35085911 | DOI:10.1016/j.ptsp.2022.01.002

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Nevin Manimala Statistics

Determination of a guidance value for the communication of individual-level biomonitoring data for urinary arsenic

Int J Hyg Environ Health. 2022 Jan 24;240:113927. doi: 10.1016/j.ijheh.2022.113927. Online ahead of print.

ABSTRACT

Available guidance values to interpret individual-level biomonitoring data (ILBD) for the sum of urinary inorganic-related arsenic species (SUIAS) are generally based on population statistical descriptors and not on a predetermined exposure level that should not be exceeded. The objective of this study was thus to propose a range of SUIAS concentrations, reflecting an exposure corresponding to WHO’s provisional guideline value (PGV) for arsenic in drinking water (10 μg/L), within which an exposure-based biomonitoring guidance value can be identified. METHOD A comprehensive literature review was carried out in order to identify studies that were relevant to the determination of a guidance value. Drinking water arsenic exposure and urinary biomonitoring concentrations obtained from selected studies were used to conduct a structural equation modeling meta-analysis, from which regression coefficients were obtained to derive an interpretative guidance range. RESULTS Individuals exposed to the arsenic background level comparable to North American and European countries and to a water source contaminated at the WHO’s PGV, would have, on average, urinary SUIAS between 9 and 20 μg/L, with the most probable value being 15 μg/L. To address the associated uncertainty, the final guidance value selection within this range may be based on a targeted sensitivity and specificity towards detecting overexposed individuals. Indeed, spans of sensitivity of 60-82%, and of specificity of 58-85%, were estimated for the proposed range based on drinking water exposure raw data from the literature. CONCLUSION The range of guidance values obtained appears suitable for interpreting and communicating ILBD in any population biomonitoring studies in which background exposure is comparable to the North American and European context. Before selecting a single value within the proposed range, it will be important for Public Health officials to assess the possible consequences of this selection on the management and communication of the biomonitoring results.

PMID:35085883 | DOI:10.1016/j.ijheh.2022.113927