Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Marital Status on Nasopharyngeal Carcinoma Survival: A Surveillance, Epidemiology and End Results Study

Purpose: This study examined the role of marital status on survival outcome of nasopharyngeal carcinoma (NPC) patients using a population-based cancer registry. Methods: Patients with primary NPC diagnosed between 2004 and 2013 were included using the Surveillance, Epidemiology and End Results program. Patient demographic, clinicopathologic features, management, and survival outcomes were compared according to marital status. Cause-specific survival (CSS, NPC-related death) for marital status was analyzed. Results: The data of 3018 patients were included, with 61.4%, 11.1%, 21.8, and 5.6% of patients married, divorced (or separated), single, and widowed, respectively. Widowed patients had the highest proportion of elderly age (p < 0.001), were more likely to be female (p < 0.001), and had more well-to-moderately differentiated (p < 0.001) and node-negative disease (p = 0.038). Widowed patients were also less likely to have received radiotherapy and chemotherapy compared with patients of other marital status (p < 0.001). The 5-year CSS was 76.1%, 70.8%, 73.4%, and 59.8% in the married, divorced, single, and widowed groups, respectively (p = 0.001). Marital status was the independent prognostic factor for CSS. Widowed patients had a significantly increased risk of NPC-related death compared with married (hazard ratio [HR] 2.014, 95% confidence interval [CI] 1.477-2.747, p < 0.001), divorced (HR 1.580, 95% CI 1.087-2.295, p = 0.017), and single (HR 2.000, 95% CI 1.402-2.854, p < 0.001) patients. The divorced (p = 0.067) and single (p = 0.949) groups had similar CSS to the married group. Conclusions: Being widowed was associated with an increased the risk of cancer mortality in NPC compared with being married, divorced, or single.
Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace

Facebook Marketplace is quickly gaining momentum among consumers as a favored customer-to-customer (C2C) product trading platform. The recommendation system behind it helps to significantly improve the user experience. Building the recommendation system for Facebook Marketplace is challenging for two reasons: 1) Scalability: the number of products in Facebook Marketplace is huge. Tens of thousands of products need to be scored and recommended within a couple hundred milliseconds for millions of users every day; 2) Cold start: the life span of the C2C products is very short and the user activities on the products are sparse. Thus it is difficult to accumulate enough product level signals for recommendation and we are facing a significant cold start issue. In this paper, we propose to address both the scalability and the cold-start issue by building a collaborative multi-modal deep learning based retrieval system where the compact embeddings for the users and the products are trained with the multi-modal content information. This system shows significant improvement over the benchmark in online and off-line experiments: In the online experiment, it increases the number of messages initiated by the buyer to the seller by +26.95%; in the off-line experiment, it improves the prediction accuracy by +9.58%.
1RM Measures or Maximum Bar-Power Output: Which is More Related to Sport Performance?

PURPOSE This study compared the associations between optimum power loads and 1-repetition maximum (1RM) values (assessed in half-squat [HS] and jump squat [JS] exercises) and multiple performance measures in elite athletes. METHODS Sixty-one elite athletes (fifteen Olympians) from four different sports (track and field [sprinters and jumpers], rugby sevens, bobsled, and soccer) performed squat and countermovement jumps, HS exercise (for assessing 1RM), HS and JS exercises (for assessing bar-power output), and sprint tests (60-m for sprinters and jumpers and 40-m for the other athletes). Pearson's product moment correlation test was used to determine relationships between 1RM and bar-power outputs with vertical jumps and sprint times in both exercises. RESULTS Overall, both measurements were moderately to near perfectly related to speed performance (r values varying from -0.35 to -0.69 for correlations between 1RM and sprint times, and from -0.36 to -0.91 for correlations between bar-power outputs and sprint times; P< 0.05). However, on average, the magnitude of these correlations was stronger for power-related variables, and only the bar-power outputs were significantly related to vertical jump height. CONCLUSIONS The bar-power outputs were more strongly associated with sprint-speed and power performance than the 1RM measures. Therefore, coaches and researchers can use the bar-power approach for athlete testing and monitoring. Due to the strong correlations presented, it is possible to infer that meaningful variations in bar-power production may also represent substantial changes in actual sport performance.
Principles of Environmental Physics

PREFACE TO THE SECOND EDITION LIST OF SYMBOLS 1. SCOPE OF ENVIRONMENTAL PHYSICS 2. GAS LAWS Pressure, volume and temperature Specific heats Lapse rate Water and water vapour Other gases 3. TRANSPORT LAWS General transfer equation Molecular transfer processes Diffusion coefficients Radiation laws 4. RADIATION ENVIRONMENT Solar radiation Terrestrial radiation Net radiation 5. MICROCLIMATOLOGY OF RADIATION (i) Interception Direct solar radiation Diffuse radiation Radiation in crop canopies 6. MICROCLIMATOLOGY OF RADIATION (ii) Absorption and reflection Radiative properties of natural materials Net radiation 7. MOMENTUM TRANSFER Boundary layers Wind profiles and drag on uniform surfaces Lodging and windthrow 8. HEAT TRANSFER Convection Non-dimensional groups Measurements of convection Conduction Insulation of animals 9. MASS TRANSFER (i) Gases and water vapour Non-dimensional groups Measurement of mass transfer Ventilation Mass transfer through pores Coats and clothing 10.MASS TRANSFER (ii) Particles Steady motion 11.STEADY STATE HEAT BALANCE (i) Water surfaces and vegetation Heat balance equation Heat balance of thermometers Heat balance of surfaces Developments from the Penman Equation 12.STEADY STATE HEAT BALANCE (ii) Animals Heat balance components The thermo-neutral diagram Specification of the environment Case studies 13.TRANSIENT HEAT BALANCE Time constant General cases Heat flow in soil 14.CROP MICROMETEOROLOGY (i) Profiles and fluxes Profiles Profile equations and stability Measurement of flux above the canopy 15.CROP MICROMETEOROLOGY (ii) Interpretation of measurements Resistance analogues Case studies: Water vapour and transpiration Carbon dioxide and growth Sulphur dioxide and pollutant fluxes to crops Transport within canopies APPENDIX BIBLIOGRAPHY REFERENCES INDEX
A Qualitative Account of The Nature and Use of Self-Regulated Learning (SRL) Strategies Employed by University Students

Students' conceptions of how they initiate, plan, implement and monitor self-regulated learning (SRL) strategies have practical implications for teaching and learning. This study explores the nature and use of SRL strategies employed by university students as it occurs in naturalistic settings, for example, studying in non-classroom environments. Framed within the social cognitive perspective, it focuses on a group of students from an under-researched population. Focus group interviews were used to elicit information about the nature of SRL strategies and contexts for their use. The findings reveal that students employ a range of SRL strategies, from shallow to cognitively rich and deep processing. Furthermore, the use of SRL strategies alters under different contextual influences such as personal goals, SRL phase specific conditions, semester and academic
Temporal correlation of interference under spatially correlated shadowing

In this paper, we study the temporal correlation of interference in mobile ad-hoc networks under a correlated shadowing environment. By modeling the node locations as a 1-D Poisson point process with an i.i. d. mobility model and considering spatially correlated shadowing that depends on the distance between nodes, we derive a simple asymptotic expression of the temporal correlation coefficient of interference as the variance of log-normal shadowing increases. This shows a readable relationship between the correlation distance of lognormal shadowing and the temporal correlation of interference and thus can be useful for modeling general wireless systems with spatially correlated shadowing.
Potential of Electrospun Poly(3-hydroxybutyrate)/Collagen Blends for Tissue Engineering Applications

In this work, tunable nonwoven mats based on poly(3-hydroxybutyrate) (PHB) and type I collagen (Coll) were successfully produced by electrospinning. The PHB/Coll weight ratio (fixed at 100/0, 70/30, and 50/50, resp.) was found to control the morphological, thermal, mechanical, and degradation properties of the mats. Increasing collagen amounts led to larger diameters of the fibers (in the approximate range 600–900 nm), while delaying their thermal decomposition (from 245°C to 262°C). Collagen also accelerated the hydrolytic degradation of the mats upon incubation in aqueous medium at 37°C for 23 days (with final weight losses of 1%, 15%, and 23% for 100/0, 70/30, and 50/50 samples, resp.), as a result of increased mat wettability and reduced PHB crystallinity. Interestingly, 70/30 meshes were the ones displaying the lowest stiffness (~116 MPa; p < 0.05 versus 100/0 and 50/50 meshes), while 50/50 samples had an elastic modulus comparable to that of 100/0 ones (~250 MPa), likely due to enhanced physical crosslinking of the collagen chains, at least at high protein amounts. All substrates were also found to allow for good viability and proliferation of murine fibroblasts, up to 6 days of culture. Collectively, the results evidenced the potential of as-spun PHB/Coll meshes for tissue engineering applications.
HOPF: Higher Order Propagation Framework for Deep Collective Classification

Given a graph where every node has certain attributes associated with it and some nodes have labels associated with them, Collective Classification (CC) is the task of assigning labels to every unlabeled node using information from the node as well as its neighbors. It is often the case that a node is not only influenced by its immediate neighbors but also by higher order neighbors, multiple hops away. Recent state-of-the-art models for CC learn end-to-end differentiable variations of Weisfeiler-Lehman (WL) kernels to aggregate multi-hop neighborhood information. In this work, we propose a Higher Order Propagation Framework, HOPF, which provides an iterative inference mechanism for these powerful differentiable kernels. Such a combination of classical iterative inference mechanism with recent differentiable kernels allows the framework to learn graph convolutional filters that simultaneously exploit the attribute and label information available in the neighborhood. Further, these iterative differentiable kernels can scale to larger hops beyond the memory limitations of existing differentiable kernels. We also show that existing WL kernel-based models suffer from the problem of Node Information Morphing where the information of the node is morphed or overwhelmed by the information of its neighbors when considering multiple hops. To address this, we propose a specific instantiation of HOPF, called the NIP models, which preserves the node information at every propagation step. The iterative formulation of NIP models further helps in incorporating distant hop information concisely as summaries of the inferred labels. We do an extensive evaluation across 11 datasets from different domains. We show that existing CC models do not provide consistent performance across datasets, while the proposed NIP model with iterative inference is more robust.
Patient and Physician Satisfaction with Analgesic Treatment: Findings from the Analgesic Treatment for Cancer Pain in Southeast Asia (ACE) Study

Aim The aim of this study was to examine patients' and physicians' satisfaction, and concordance of patient-physician satisfaction with patients' pain control status. Methods This cross-sectional observational study involved 465 adults prescribed analgesics for cancer-related pain from 22 sites across Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam. Pain intensity, pain control satisfaction, and adequacy of analgesics for pain control were documented using questionnaires. Results Most patients (84.4%) had stage III or IV cancer. On a scale of 0 (no pain) to 10 (worse pain), patients' mean worst pain intensity over 24 hours was 4.76 (SD 2.47). More physicians (19.0%) than patients (8.0%) reported dissatisfaction with patient's pain control. Concordance of patient-physician satisfaction was low (weighted kappa 0.36; 95% CI 0.03–0.24). Most physicians (71.2%) found analgesics to be adequate for pain control. Patients' and physicians' satisfaction with pain control and physician-assessed analgesic adequacy were significantly different across countries (P < 0.001 for all). Conclusions Despite pain-related problems with sleep and quality of life, patients were generally satisfied with their pain control status. Interestingly, physicians were more likely to be dissatisfied with patients' pain control. Enhanced patient-physician communication, physicians' proactivity in managing opioid-induced adverse effects, and accessibility of analgesics have been identified to be crucial for successful cancer pain management. This study was registered at ClinicalTrials.gov (identifier NCT02664987).
Both the Survival Scenario and the Death Scenario Improve Memory Recall Regardless of the Processing/Priming Paradigm

Memory researchers have suggested human's memory system can help us remember adaptive information conducive to survival and avoiding death. However, in previous studies, the “survival-” orienting task and the “death-” orienting task were adopted in different paradigms. Specifically, the survival-related task was adopted in a processing paradigm, in which participants were instructed to process words in terms of its relevance of survival value, while the death-related task was adopted in a priming paradigm, in which participants were first placed in a death-salient state, and then rated the pleasantness of each word without encoding its death value. The current study aimed to explore whether death scenarios improve recall as much as survival scenarios regardless of the processing/priming paradigm. In Experiment 1, we compared a survival scenario, a death scenario and a control scenario in both processing and priming paradigms. Our results showed that: (a) both survival-related thoughts and death-related thoughts could improve memory recall, both in processing and in priming paradigms; and (b) participants' proportion of correct recall did not show difference between the survival and the death conditions. In Experiment 2, we used a more detailed control scenario and showed that both the death scenario and the survival scenario yielded higher recall than the control scenario in the priming paradigm. Together, our results suggest that both survival and death scenarios have a similar effect on memory recall regardless of the processing/priming paradigms.
Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks

Speech emotion recognition (SER) is to study the formation and change of speaker's emotional state from the speech signal perspective, so as to make the interaction between human and computer more intelligent. SER is a challenging task that has encountered the problem of less training data and low prediction accuracy. Here we propose a data processing algorithm based on the imaging principle of the retina and convex lens (DPARIP), to acquire the different sizes of spectrogram and get different training data by changing the distance between the spectrogram and the convex lens. Meanwhile, with the help of deep learning to get the high-level features, we apply the AlexNet on the IEMOCAP database and achieve the average accuracy over 48.8% on six emotions. The experimental results indicate that our proposed data preprocessing algorithm is effective and more accurate compared to existing emotion recognition algorithms.
In-vitro Antioxidant Activities of the Ethanolic Extracts of Some Contained-Allantoin Plants

It has been investigated the in-vitro antioxidant properties of ethanol extracts of the contained-allantoin plants in this study. Contained-allantoined plant samples Plantago lanceolata, Plantago major, Robinia pseudoacacia, Platanus orientalis and Aesculus hippocastanum were tested at different concentrations. The antioxidant activities of plant samples were analysed by 1,1- diphenyl-2-picrylhydrazyl (DPPH) radical scavenging method, cupric reducing antioxidant capacity (CUPRAC), reducing power assay and β-carotene bleaching method. Plantago major plant showed the highest antioxidant capacity compared to other plant extracts in results of the in-vitro assays including 1,1- diphenyl-2-picrylhydrazyl (DPPH) radical scavenging method with 90.25 %, cupric reducing antioxidant capacity (CUPRAC) with 1.789 %, reducing power assay (FRAP) with 1.321 % and β-carotene bleaching method with 78.01 % in 1 mg/mL. The lowest antioxidant activity was determined in Robinia pseudoacacia plant. In conclusion, allantoin shows antioxidant properties and it has the positive effect on total antioxidant capacity.
Sedentary behaviour and sleep problems among 42,489 community‐dwelling adults in six low‐ and middle‐income countries

There is a lack of multinational research investigating the association between sleep problems and sedentary behaviour. In this study, we investigated the relationship between the time spent sedentary during waking hours and sleep problems in six low‐ and middle‐income countries. Cross‐sectional, community‐based data from the Study on Global Ageing and Adult Health survey were analysed. Adjusted logistic regression analyses were undertaken to explore the relationship between self‐reported sleep problems (such as difficulties falling asleep, waking up frequently during the night or waking up too early in the morning) in the last 30 days and self‐reported sedentary time (categorized as <4, 4 to <8, 8 to <11 or ≥11 hr/day). Among 42,489 individuals aged ≥18 years (mean age=43.8 ± 14.4 years; 50.1% women), those who were sedentary for 8 to <11 hr/day (n = 2,782) and ≥11 hr/day (n = 674) had a 1.61 (95% confidence interval =1.03–2.50) and 1.75 (95% confidence interval =1.17–2.62) times higher odds of having sleep problems, respectively, compared with those being sedentary for less than 4 hr per day (n = 24,637). The strongest associations were observed among those aged 50–64 years. The observed associations were independent of a wide range of sociodemographic factors, physical and mental health conditions and physical activity behaviour. Considering the social and occupational costs of sleep problems, it is important that future longitudinal research should consider the directionality of the data.
A comparison of cotton and flocked swabs for vaginal self-sample collection

Objective Vaginal self-sampling for human papillomavirus (HPV) testing has recently been proposed to optimize cervical cancer screening coverage. The objective of this study was to compare the performance of self-taken samples using flocked and cotton swabs for HPV detection and cellular retrieval. Methods We recruited women aged 21–65 years, referred to colposcopy at the Division of Gynecology of the Geneva University Hospitals between May and September 2016. Each participant collected 2 vaginal samples: 1 with a cotton swab and 1 with a flocked swab. A 1:1 randomization determined the order in which the 2 samples were taken. The swabs were introduced into a 20 mL PreservCyt® vial. Real-time polymerase chain reaction analysis using the Anyplex™ II HPV HR assay, cytofluorometric analysis and cytological cell counting were performed on each sample. Results A total of 119 participants were recruited in the study. Their mean ± standard deviation age was 35.1±8.9 years. The HPV prevalence was 29.7% and 38.1% according to the cotton and flocked swab, respectively (p=0.006). The mean number of cells collected per milliliter according to cytofluorometry was 96,726.6 with the cotton swab and 425,544.3 with the flocked swab (p<0.001). The mean number of cells detected at cytological cell count was 13,130.42 using the cotton swab and 17,503.6 using the flocked swab (p<0.001). Conclusion The flocked swab achieved a greater cellular retrieval and showed an improved performance in HPV detection. Further studies are needed to assess the usability and cost-effectiveness of the 2 self-sampling devices.
Do Sleeping Disorders Impair Sexual Function in Married Iranian Women of Reproductive Age? Results from a Cross-Sectional Study

Purpose This study aimed to evaluate the relationship between sleep quality and sexual function among Iranian women. Methods This study was conducted on 277 married women of reproductive age. The inclusion criteria were as follows: married women aged 18–45 years, with at least basic literacy, and women married monogamously for at least one year. The following tools were used for gathering data: a demographic questionnaire; Pittsburgh Sleep Quality Index (PSQI); Insomnia Severity Index (ISI); Epworth Sleepiness Scale (ESS); and Female Sexual Function Index (FSFI). Pearson correlation coefficients, independent t-tests, chi-square tests, and linear regression analyses were used to analyze the data. Results There was a significant inverse relation between poor sleep quality (r = −0.13, P = 0.02), daytime sleepiness (r = −0.39, P < 0.001), insomnia (r = −0.35, P < 0.001), and sexual function. Sexual desire was significantly related to sleep quality and insomnia (P < 0.001). Sexual arousal (r = −0.18, r = −0.29, P < 0.001), lubrication (r = −0.21, r = −0.3, −0.12, P < 0.001), orgasms (r = 0.17, r = −0.15, P < 0.001), and sexual satisfaction (r = −0.02, −r = 0.3, r = −0.15, P < 0.001) were significantly related to all types of sleep disorders (poor sleep quality, insomnia, and sleepiness). Pain during intercourse was significantly associated with poor sleep quality and insomnia. With each unit decrease in sleep quality, sexual function decreased by 0.49 (P < 0.001), and with each unit increase in the delay of sleep onset, sexual function decreased by 1.58 (P = 0.04). Conclusion Results of this study showed that there was a significant relationship between sleep quality and sexual function in Iranian women of reproductive age. The quality of sleep among reproductive-aged women merits the attention of health care providers and policy makers.