Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Associated with Dietary Habit Changes in Korean Stomach Cancer Survivors after Cancer Treatment

The current nutritional guidelines for stomach cancer survivors (SCSs) mainly focus on the influence of the surgical resection of the stomach, with limited guidance regarding a wider range of food options. We aimed to investigate the factors associated with healthier dietary changes in Korean adult SCSs. This cross-sectional study assessed dietary pattern changes after cancer treatment for 11 food categories, using a self-administered questionnaire. A ‘healthier dietary change’ was operationally defined as a reduced consumption of red and processed meat, grains, salt, and burnt food, and an increased consumption of poultry, fish, vegetables, fruits, legumes, and dairy products. Among a total of 624 SCSs, approximately 60% of participants reported dietary changes in a healthier direction in three or more food categories, while 9.1% reported no changes. There was no significant difference in dietary habit changes between surgery types. Multivariable adjusted analysis showed that elderly and long-term survivors were inversely associated with a healthier dietary change. SCSs with a higher level of educational achievement and income were more likely to make healthier changes in their intake of processed meat, vegetables, fruits, burnt food, or salt. SCSs with higher levels of fear of cancer recurrence, anxiety, or depression were more likely to follow healthier dietary changes regarding fish, meat, fruits, grains, or burnt food. Change in dietary pattern varied across different food items, and was associated with various characteristics of SCSs. It is crucial to repeatedly provide SCSs with information about healthier dietary patterns, considering their sociodemographic, clinical, and psychological characteristics.
Equivalence of predictors under real and over-parameterized linear models

ABSTRACT Assume that a real linear model is over-parameterized as by adding some new regressors . In such a case, results of statistical inferences of the unknown parameters and under the two models are not necessarily the same. This paper aims at characterizing relationships between the best linear unbiased predictors (BLUPs) of the joint vector of the unknown parameters in the two models. In particular, we derive necessary and sufficient conditions for the BLUPs of to be equivalent under the real model and its over-parameterized counterpart.
Effect of Biphenyl, Acetylene and Carbon Dioxide on Benzene Pyrolysis at Intermediate Temperatures

ABSTRACT Benzene pyrolysis chemical kinetic mechanism has been of interest as benzene and phenyl radicals are important species for polycyclic aromatic hydrocarbons (PAHs) growth. Also, valuable industrial species such as biphenyl can be produced from benzene pyrolysis. This work aims to study the effect of additives (biphenyl and acetylene) on benzene pyrolysis at intermediate temperatures (900–1250 K). However, significant soot was noticed at high temperatures (1200–1250 K), which may affect the measurements. Nitrogen and a blend of nitrogen and carbon dioxide were used for dilution. The experiments were performed using a jet-stirred reactor (JSR) coupled with gas chromatography (GC) at atmospheric pressure. A residence time of 3 s was considered, as a long residence time is needed to collect enough samples at intermediate temperatures. The concentration-temperature profiles from the experimental measurements were compared with three selected models, Hamadi et al., Ranzi et al. and Sun et al. models. In general, Sun et al. model performs better than the other two models, especially for the prediction of light hydrocarbon concentrations. The results show an apparent influence of additives on benzene pyrolysis. The experiments and Sun et al. model illustrate a noticeable formation of methane and ethylene. Hamadi et al. and Ranzi et al. models demonstrate minor formation of light hydrocarbons under our experimental conditions. Sensitivity analyses of benzene, biphenyl, methane and ethylene were conducted at 1175 K using Sun et al. model.
Correlates of Psychological Distress Among African American Young Adults During the COVID-19 Pandemic

The COVID-19 pandemic disproportionately affects African Americans in the United States, including disparate rates of mortality and higher mental health consequences compared to Whites. However, African American young adults are underrepresented in the literature examining psychological distress (i.e., anxiety and depression) during the COVID-19 pandemic. Factors associated with psychological distress are important to examine among African American young adults during the pandemic to better inform culturally appropriate mental health interventions during times of increased uncertainty and isolation. The present study, grounded in the transactional theory of stress and coping, was a secondary analysis of 420 African American young adults exploring gender, age, coping, fear of missing out (FOMO), and COVID-19 news exposure as correlates of anxiety and depression. Results showed that gender, age, level of resilient coping, and experiences of FOMO were associated with psychological distress. Therefore, interventions to reduce psychological distress among African American young adults may need to focus on younger individuals and women, identify adaptive coping skills during times of significant change, and target individuals who experience FOMO.
Ship classification for unbalanced SAR dataset based on convolutional neural network

Abstract. Ship classification in synthetic aperture radar (SAR) images is essential in remote sensing but still full of challenges in the deep learning era. The unbalanced dataset and lack of models are two limitations. Upsampling with data augmentation and ratio batching are proposed to solve the first problem. Upsampling with data augmentation is upsampling by cropping and flipping. It can improve the diversity of the dataset. Ratio batching is realized by choosing the same amount of ships per class in each minibatch. It can make the model converge faster and better. To solve the second problem, a new loss function and convolutional neural network model are proposed. The new loss function can maximize the intraclass compactness and interclass separation simultaneously. Dense residual network has two submodules. One is the identity mapping through elementwise summation to reuse old features. The other is dense connection through concatenation to exploit new features. The designed architecture is suitable for the task of SAR ship classification. We use the confusion matrix and accuracy averaged on classes to measure the performance. From the experiments, we can find that the proposed ideas have excellent performance especially on the rare classes.
Factors associated with psychiatric and physical comorbidities in bipolar disorder: a nationwide multicenter cross-sectional observational study

Background Bipolar disorder (BD) is a chronic and disabling affective disorder with significant morbidity and mortality. Despite the high rate of psychiatric and physical health comorbidity, little is known about the complex interrelationships between clinical features of bipolar illness and comorbid conditions. The present study sought to examine, quantify and characterize the cross-sectional associations of psychiatric and physical comorbidities with selected demographic and clinical characteristics of adults with BD. Methods A nationwide multicenter cross-sectional observational epidemiological study conducted from October 2015 to March 2017 in Slovakia. Results Out of 179 study participants [median age 49 years (interquartile range IQR 38–58); 57.5% females], 22.4% were free of comorbidity, 42.5% had both psychiatric and physical comorbidities, 53.6% at least one psychiatric comorbidity, and 66.5% at least one physical comorbidity. The most prevalent were the essential hypertension (33.5%), various psychoactive substance-related disorders (21.2%), specific personality disorders (14.6%), obesity (14.5%), and disorders of lipoprotein metabolism (14%). The presence of an at least one physical comorbidity, atypical symptoms of BD, and unemployed status were each associated with an at least one psychiatric comorbidity independent of sex, early onset of BD (age of onset <35 years), BD duration and pattern of BD illness progression (p < 0.001). The presence of various psychoactive substance-related disorders, BD duration, atypical symptoms of BD, unemployed status, pension, female sex, and not using antipsychotics were each associated with an at least one physical comorbidity independent of the pattern of BD illness progression (p < 0.001). In several other multiple regression models, the use of antipsychotics (in particular, olanzapine) was associated with a decreased probability of the essential hypertension and predicted the clinical phenotype of comorbidity-free BD (p < 0.05). Conclusion This cross-national study has reported novel estimates and clinical correlates related to both the comorbidity-free phenotype and the factors associated with psychiatric and physical comorbidities in adults with BD in Slovakia. The findings provide new insights into understanding of the clinical presentation of BD that can inform clinical practice and further research to continue to investigate potential mechanisms of BD adverse outcomes and disease complications onset.
A two-stage outflow in NGC 1068

We present an analysis of the Seyfert 2 galaxy NGC 1068 with archive data from SINFONI-VLT, in the HK bands with pixel scales of 0.1 (data set 1 - DS1) and 0.025 (DS2) arcsec. The data are revisited with a sophisticated data treatment, such as the differential atmospheric refraction correction and the application of a Butterworth filtering and deconvolution. The gain in the process is quantified by a significant improvement in the Strehl ratio and it shows that an unprecedented high spatial resolution is achieved. For DS1, a detailed study of the H$_{2}$, [Fe II] and [Si VI] emission lines reveals a three-phase gas morphology: (1) the low-velocity [Fe II] emission representing the glowingwall of an hourglass structure, (2) the high-velocity compact blobs of low and high ionization emissions filling the hourglass volume and (3) the distribution of H$_{2}$ molecular gas defines the thick and irregular walls of a bubble surrounding a cavity. Both the hourglass and the molecular emissions have an asymmetry caused by the fragmentation of the north-eastern molecular wall, closest to the active galactic nucleus, resulting in highvelocity compact blobs of ionized gas outside the bubble. The south-western part of the bubble is excavated by the jet, where the blobs remain confined and are blown along the bubble's inner boundary. We propose that those blobs are driven by a hot "secondary wind" coming from the spot where the jet interacts and injects its energy in the molecular gas. The combination of a primary wind launched by the central source and the secondary wind is what we call a two-stage outflow. For DS2, we detected a [Si VI] outflow nearly coplanar to the maser disc and orthogonal to the CO outflow found by a previous study. Such unexpected scenario is interpreted as the interaction between the central radiation field and a two-phase gas density torus.
Housing market dynamics of the post-Sandy Hudson estuary, Long Island Sound, and New Jersey coastline are explained by NFIP participation

How flooding affects home values can determine the path of economic recovery for communities and have lasting impacts on national and global financial systems. Yet, our understanding of how flood insurance, community risk perception, and past flooding events shape future housing prices (HPs) remains limited. To explore this, we used a socio-environmental (SE) model and studied the temporal impacts of flooding on mean housing values across 496 coastal census tracts of New York, Connecticut, and New Jersey, US, from 1970 to 2021. The modeling exercise demonstrated that the initial economic impact of Hurricane Sandy was largely absorbed by the National Flood Insurance Program (NFIP); however, the region then exhibited a long-term decline in home values, which was well described by an interrupted time series model. We found significant correlations between SE model parameters describing HP change and those describing tract-scale behaviors and perceptions, suggesting that the salience of past flooding events and NFIP participation may be important regional drivers of HPs. Tracts with greater post-flood change in active insurance policies exhibited larger decreases in mean home values than those with more stable NFIP participation. An improved understanding of relationships between HPs, flood insurance, and community perceptions could support more equitable distributions of resources and improved policy interventions to reduce flooding risk.
Application of Strategic Planning Methodology in Seven Brazilian Preincubated Enterprises in a Technological Innovation Center (TIC)

The general objective of this study was the application of the Strategic Planning Methodology in seven preincubated enterprises in the Technological Innovation Center (TIC) of Unoesc Chapecó, SC. The specific aims were: to prepare the strategic planning for the seven enterprises linked to Pre-incubator of the TIC from Unoesc Chapecó; to adjust the methodology to the characteristics and needs of young enterprises; to apply the methodology as a learning process and complement it with consultancies that enable to figure strategies and endow the enterprises with conditions to take advantage of them; to evaluate critically the adequacy of the methodology applied to the characteristics of the preincubated enterprises; and to propose improvements in the methodology, aiming to further broaden its applicability in small and medium-sized businesses. The methodological procedures followed qualitative approach with the multiple case study design and with the research-action method, which makes the collection processes and data analysis simultaneous. The results indicate that the methodology was appropriate to be applied to young enterprises simultaneously and collectively, for encouraging the participation, integration, high learning and the formation of collaborative network, and for attaching the process of strategies formulation to the consulting one, which focuses on the strategic management. This way, it is possible to assert that the outlined objectives were fully achieved.
Anterior cruciate ligament reconstruction with use of hamstring autograft in patients with generalized ligamentous laxity

Background: Patients with generalized ligamentous laxity has greater risk of instability compared with a conventionally reconstructed anterior cruciate ligament injury. The purpose of this study was to evaluate the outcome of Anterior Cruciate Ligament (ACL) Reconstruction in Patients with Generalized Ligamentous Laxity. Methods: The records of 40 patients who underwent anterior cruciate ligament reconstruction between January 2018 and June 2020 were evaluated. The patients underwent quadruple hamstring autograft reconstruction of ACL. Clinical outcomes were determined from data obtained before surgery and at the twenty-four-month follow-up visit. Results: Postoperatively, the mean of anterior tibial translation was measured by physical examination and was found that 4 patients had grade 1 plus lachman test (p value=0.032), while no patient had grade 1 plus pivot shift test (p value=0.091). The mean score on the hospital for special surgery knee ligament questionnaire was 90.8 and mean lysholm score was 84.1. Conclusions: On the basis of the evaluation of ligamentous laxity measured with the physical examination, anterior cruciate ligament reconstruction with use of hamstring autograft provided some anterior translation.
Monotonicity Formulas for Diffusion Operators on Manifolds and Carnot Groups, Heat Kernel Asymptotics and Wiener's Criterion on Heisenberg-type Groups

Rotz, Kevin L. PhD, Purdue University, May 2016. Monotonicity Formulas for Diffusion Operators on Manifolds and Carnot Groups, Heat Kernel Asymptotics and Wiener’s Criterion on Heisenberg-type Groups . Major Professor: Nicola Garofalo, Donatella Danielli. The contents of this thesis are an assortment of results in analysis and subRiemannian geometry, with a special focus on the Heisenberg group H, Heisenbergtype (H-type) groups, and Carnot groups. As we wish for this thesis to be relatively self-contained, the main definitions and background are covered in Chapter 1. This includes basic information about Carnot groups, H, H-type groups, diffusion operators, and the curvature dimension inequality. Chapter 2 incorporates excerpts from a paper by N. Garofalo and the author, [42]. In it, we propose a generalization of Almgren’s frequency function N : (0, 1) → R for solutions to the sub-elliptic Laplace equation ∆Hu = 0 in the unit ball of a Carnot group of arbitrary step. If the function u has vanishing discrepancy, then the frequency is monotonically non-decreasing, and we are able to prove a form of strong unique continuation for such functions. Chapter 3 grew out of the author seeking parabolic montonicity formulas in the same vein as Almgren’s frequency. These include two types of monotonicity formulas, those of Struweand Poon-type [72], [67]. If a diffusion operator L on a complete manifold M satisfies the curvature dimension inequality CD(ρ, n), then we are able to prove that for solutions to Lu = ut in M × (0, T ), Struwe’s energy monotonicity holds, at least for time values close enough to T . We introduce a new condition, C(ω) where ω ∈ C(0, T ), related to the Hessian of the heat kernel, and are able to prove a Poon-type frequency monotonicity formula when taking into account a weighting
Use of social network sites among adolescents with autism spectrum disorder: a qualitative study

Background Social network sites (SNS) have become an integral part of the daily lives of billions of users, including adolescents with autism spectrum disorder (ASD). There is a seeming contrast between ASD, characterized by social communication difficulties, and SNS use, requiring social skills. However, few studies examine these adolescents’ personal and subjective experiences on and their self-reports regarding the benefits and difficulties of using them. Methods This study examines the communication strategies of adolescents with ASD in using SNS, through semi-structured in-depth interviews with 10 adolescents diagnosed with ASD. Results Findings are on three main aspects: reasons for using SNS, actual SNS use, and social characteristics of ASD as expressed through SNS engagement. Conclusion The main finding is that SNS use among adolescents with ASD exposes their deficiencies in communication despite providing emotional support. This study highlights the importance of guiding SNS use by adolescents with ASD.
The effects of quality certification on agricultural low-carbon production behavior: evidence from Chinese rice farmers

ABSTRACT Low-carbon agricultural practices have received increasing attention, and the rapid development of agricultural product quality certification in China has provided a potential way to implement low-carbon agriculture. This study employs an endogenous switching regession to examine the effects of quality certification on low-carbon production behaviors using the survey data of 1,042 rice farmers in Hubei Province, China. The empirical results show that, first, the quality certification participation has a positive and statistically significant impact on farmers’ low-carbon production behaviors. In particular, the treatment effect of quality certification participation is to increase farmers’ low-carbon production level to appropriately 71.85%. Second, a disaggregated analysis by quality certification type reveals no significant difference between public geographical indication certification and private green food and organic product certification in promoting farmers’ low-carbon production behaviors. Nevertheless, the effect of multiple certifications on low-carbon production behaviors is significantly stronger than that of single certification. Third, disaggregated analysis indicates that new agricultural business entities are more likely to implement low-carbon production after participating in quality certification than traditional farmers.
Towards an Inclusive Pedagogy: Applying the Universal Design for Learning in an Introduction to History of Global Art Course in Ghana

This convergent parallel mixed methods study was aimed at addressing the lack of empirical studies in the implementation of Universal Design for Learning (UDL) as an inclusive pedagogy in the Ghanaian higher education context. The overarching objective was to find out whether UDL has the potential in improving the learning processes and learning outcomes of the diverse students reading a History of Global Art course. Quantitative and qualitative data sets were garnered from 122 conveniently sampled students using an adapted version of the Inclusive Teaching Strategies Inventory-Students (ITSI-S) survey instrument. The findings of the study revealed that the UDL principles of multiple means of representation, multiple means of engagement and multiple means of action and expression impacted positively on students’ learning processes and outcomes. UDL assisted greatly in the development of collaborative, problem-solving, good time management and critical thinking skills, while increasing learners’ level of motivation. The study contends that though the UDL as an inclusive pedagogical approach requires a lot of dedication on the part of the instructor as well as a great deal of time and material resources, the accrued benefits of its implementation on the students’ learning processes and learning outcomes are far-reaching.
Unification of Rare and Weak Multiple Testing Models using Moderate Deviations Analysis and Log-Chisquared P-values

: Rare and Weak models for multiple hypothesis testing assume that only a small proportion of the tested hypotheses concern non-null effects and the individual effects are only moderately large, so they generally do not stand out individually, for example in a Bonferroni analysis. Such models have been studied in quite a few settings, for example in some cases studies focused on an underlying Gaussian means model for the hypotheses being tested; in some others, Poisson and Binomial. Such seemingly different models have asymptotically the following common structure. Summarizing the evidence of individual tests by the negative logarithm of its P-value, the model is asymptotically equivalent to a situation in which most negative log P-values have a standard exponential distribution but a small fraction of the P-values might have an alternative distribution which is approximately noncentral chisquared on one degree of freedom. This log-chisquared approximation is different from the log-normal approximation of Bahadur which is unsuitable for analyzing Rare and Weak multiple testing models. Wecharacterize the asymptotic performance of global tests combining asymptotic log-chisquared P-values in terms of the chisquared mixture parameters: the scaling parameter controlling heteroscedasticity, the non-centrality parameter describing the effect size whenever it exists, and the parameter controlling the rarity of the non-null effects. In a phase space involving the last two parameters, we derive a region where all tests are asymptotically powerless. Outside of this region, the Berk-Jones and the Higher Criticism tests have maximal power. Inference techniques based on the minimal P-value, false-discovery rate controlling, and Fisher’s combination test have sub-optimal asymptotic phase diagrams. Our analysis yields the asymptotic power of global testing in various new rare and weak perturbation models, including two-sample heteroscedastic normal mixtures and binomial experiments with perturbed probabilities of success.