Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements

Deriving large-scale and high-quality precipitation products from satellite remote-sensing spectral data is always challenging in quantitative precipitation estimation (QPE), and limited studies have been conducted even using China's latest Fengyun-4A (FY-4A) geostationary satellite. Taking three rainstorm events over South China as examples, a machine-learning-based regression model was established using the random forest (RF) method to derive QPE from FY-4A observations, in conjunction with cloud parameters and physical quantities. The cross-validation results indicate that both daytime (DQPE) and nighttime (NQPE) RF algorithms performed well in estimating QPE, with the bias score, correlation coefficient and root-mean-square error of DQPE (NQPE) of 2.17 (2.42), 0.79 (0.83) and 1.77 mm h−1 (2.31 mm h−1), respectively. Overall, the algorithm has a high accuracy in estimating precipitation under the heavy-rain level or below. Nevertheless, the positive bias still implies an overestimation of precipitation by the QPE algorithm, in addition to certain misjudgements from non-precipitation pixels to precipitation events. Also, the QPE algorithm tends to underestimate the precipitation at the rainstorm or even above levels. Compared to single-sensor algorithms, the developed QPE algorithm can better capture the spatial distribution of land-surface precipitation, especially the centre of strong precipitation. Marginal difference between the data accuracy over sites in urban and rural areas indicate that the model performs well over space and has no evident dependence on landscape. In general, our proposed FY-4A QPE algorithm has advantages for quantitative estimation of summer precipitation over East Asia.

Attention Bias and Recognition of Sexual Images in Depression

Depression greatly affects sexuality. Theoretical and empirical evidence account for the existence of attention bias to sex-related stimuli. This attention bias might be impaired in depression, resulting in sexual problems. A sample of 13 patients with depression and 13 matched healthy controls were tested using the dot-probe and picture recognition task to measure attention to erotic images. No difference in attention to sex-related stimuli (ω2 = 0, p = 0.22) and in memory bias (ω2 = 0, p = 0.72) was found between the two groups. Explorative analyses were conducted to identify the sexual content-induced delay effect in the data, assess variability differences, and compare trial-level bias score-based indexes between groups. Across all analyses, there was little evidence for depression affecting sexual-related cognitive processing, and even this might be explained by other means. Our results suggest that restrained attention is probably not the main factor behind sexual problems in depression.

The Influence of Optimism Bias on Time and Cost on Construction Projects

The unresolved scholarly debate to curtail cost and time performances in projects has led to alternate solutions, departing from the dominant technical school of thought to include concepts from behavioural sciences. In this paper, we consider the psychological effect, namely optimism bias, as one of the root causes for delays in cost overruns on projects. The research objectives were to determine the level of bias among project participants, rank time and cost overrun causes according to the participants’ bias score and establish a mitigation strategy to curb potential delays and cost overrun impacts based on the bias scores obtained. A literature survey was conducted to determine causal factors contributing to delays and cost overruns linked to optimism bias. Through a pilot survey of three semi-structured interviews, eighty factors obtained from the literature survey were reduced to 24 critical delay and cost overrun factors relevant to Trinidad and Tobago. A questionnaire was subsequently developed seeking construction professionals to rate their bias scores based on an 11-point Likert scale. The research confirms that project planners and decision-makers exhibit moderate levels of optimism bias; however, participants lacked awareness of the impact of optimism bias on projects outcomes. Project location, environmental impacts and historic preservation, and labour disputes are the top three critical factors where project professionals displayed increased optimistic tendencies. It is proposed that contingency “time window” and reference class forecasting be implemented as control mechanisms to mitigate the impacts of time and cost overruns on projects. This research introduces a novel method to account for and measure optimism bias on construction projects. This study adds knowledge into delays and cost overruns causation and provides a foundation for future studies on quantifying psychological effects on projects and enhancing overall project management practices. Doi: 10.28991/esj-2021-01287 Full Text: PDF

Development of a rabies virus-based retrograde tracer with high trans-monosynaptic efficiency by reshuffling glycoprotein

Rabies virus (RV) is the most widely used vector for mapping neural circuits. Previous studies have shown that the RV glycoprotein can be a target to improve the retrograde transsynaptic tracing efficiency. However, the current versions still label only a small portion of all presynaptic neurons. Here, we reshuffled the oG sequence, a chimeric glycoprotein, with positive codon pair bias score (CPBS) based on bioinformatic analysis of mouse codon pair bias, generating ooG, a further optimized glycoprotein. Our experimental data reveal that the ooG has a higher expression level than the oG in vivo, which significantly increases the tracing efficiency by up to 12.6 and 62.1-fold compared to oG and B19G, respectively. The new tool can be used for labeling neural circuits Therefore, the approach reported here provides a convenient, efficient and universal strategy to improve protein expression for various application scenarios such as trans-synaptic tracing efficiency, cell engineering, and vaccine and oncolytic virus designs.

Food Preferences in a Greenlandic Population

Objectives The overall aim was to describe food reward in an Inuit population in Greenland. More specifically, the objective was to first test the differences in food reward for sweet relative to savory food (taste bias) after four weeks on a traditionally Inuit diet (TID) vs a Westernized diet (WD). If no differences in taste bias were found between diet groups, we aimed to describe food reward in a pooled sample (median [IQR]). We hypothesized that participants would have higher preferences for sweet compared to savory foods. Methods After a dietary intervention in Greenland (20% of foods provided), we measured behavioral components of food reward using the Leeds Food Preference Questionnaire. The reward components, explicit liking and implicit wanting, were measured in response to images of Western foods varying in fat content and taste after four weeks on either TID or WD. A positive bias score reflected preference for sweet over savory, and oppositely a negative bias score reflected preference for savory over sweet foods. Results Participant characteristics were similar in the two diet groups (age (mean (SD): TID = 58.1 (11.5) vs. WD = 55.4 (9.5) years); sex: TID = 50% vs. WD = 54% women; body mass index (mean (SD): TID = 26.6 (5.5) vs. WD = 27.9 (4.7) kg/m2). In these preliminary, unadjusted analyses, we found no differences in explicit liking (P = 0.77) or implicit wanting (P = 0.70) bias score for sweet over savory foods after four weeks following either TID (n = 26) or WID (n = 24). Altogether, participants in the two diet groups had a greater explicit liking (−11.5 [−19.9; −2.8]) and implicit wanting (−21.6 [−44.2; −5.2]) for savory compared to sweet foods. Conclusions This is the first study to examine explicit and implicit aspects of food reward in an Inuit population. Contrary to our hypothesis, this population did not prefer sweet over savory Western foods. Funding Sources The study was supported by unrestricted grants from The Novo Nordisk Foundation. Royal Greenland and the supermarket chains Kalaallit Nunaanni Brugseni & Pilersuisoq supported the study with foods and food logistics.

Assessment of Self-Efficacy for Combining the Five Types of Food Groups of Fifth and Sixth Grade Children Who Belonged to Soccer Clubs and Their Parents

Objectives The objective of this study was to develop self-efficacy scale for “combining the five types of food groups” for fifth and six grade children in sports clubs and their parents. Methods This was cross-sectional study. The subjects were one hundred fifth and sixth grade Japanese boys who belonged to two soccer clubs and their parents. Children assessed their dietary consumption for a week, and both children and parents examined self-efficacy about “combining the five types of food groups”. Dietary consumption was based on the five types of food groups, that is “shushoku(grains)”, “shusai(protein)”, ” hukusai(vegetables)”, fruit, dairy. Six and seven self-efficacy items were set for children and their parents. Each response was rated on a five-point Likert scale. Players were asked the following question: “How sure are you that you eat a meal that combines the five food groups in the following situations?” There were 6 responses. Parents were asked the following question: “How sure are you that you always prepare a meal that combines the five food groups for your children in the following situations?” There were 7 response items. Results No items had a bias score of more than 50% in the sports players, and three items were excluded in the analysis of the parents. Result of the exploratory factor analysis, four items were selected for players and four for their parents. Self-efficacy scores were Cronbach's alpha scores were 0.77 for players and 0.81 for their parents, which confirms sufficient reliability. The number of answers for the selected self-efficacy items were totaled as self-efficacy scores. Children's self-efficacy scores were significantly associated with “hukusai”. Parents’ self-efficacy scores were significantly all types of food. Conclusions These findings suggest that self-efficacy scale of combining five types of food groups could be evaluated for fifth and sixth grade children who belonged to soccer clubs and their parents. Funding Sources The authors declare no conflicts of interest associated with this study.

New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model

Transpiration represents more than 30% of the global land–atmosphere water exchange but is highly uncertain. Plant hydraulics was ignored in traditional land surface modeling, but recently plant hydraulics has been found to play an essential role in transpiration simulation. A new physical-based representation of plant hydraulic schemes (PHS) was recently developed and implemented in the Common Land Model (CoLM). However, it is unclear to what extent PHS can reduce these uncertainties. Here, we evaluated the PHS against measurements obtained at 81 FLUXNET sites. The transpiration of each site was estimated using an empirical evapotranspiration partitioning approach. The metric scores defined by the International Land Model Benchmarking Project (ILAMB) were used to evaluate the model performance and compare it with that of the CoLM default scheme (soil moisture stress (SMS)). The bias score of transpiration in PHS was higher than SMS for most sites, and more significant improvements were found in semi-arid and arid sites where transpiration was limited by soil moisture. The hydraulic redistribution in PHS optimized the soil water supply and thus improved the transpiration estimates. In humid sites, no significant improvement in seasonal or interannual variability of transpiration was simulated by PHS, which can be explained by the insensitivity of transpiration demand coupled to the photosynthesis response to precipitation. In arid and semi-arid sites, seasonal or interannual variability of transpiration was better captured by PHS than SMS, which was interpreted by the improved drought sensitivity for transpiration. Arid land is widespread and is expected to expand due to climate change, thus there is an urgent need to couple PHS in land surface models.

Photographic Misrepresentation on Instagram After Facial Cosmetic Surgery: Is Increased Photography Bias Associated With Greater User Engagement?

Background Before and after images are commonly used on Instagram to advertise aesthetic surgical treatments and are a powerful means of prospective patient engagement. Consistency between before and after images accurately demonstrating the postoperative result on Instagram, however, has not been systematically assessed. Objectives Our aim was to systematically assess facial cosmetic surgery before and after photography bias on Instagram. Methods The authors queried 19 Instagram facial aesthetic surgery-related hashtags on 3 dates in May 2020. The “top” 9 posts associated with each hashtag (291 posts) were analyzed by 3 plastic surgeons using 5-item rubric quantifying photographic discrepancies between preoperative and postoperative images. Duplicate posts and those that did not include before and after images after facial aesthetic surgery procedures were excluded. Results A total of 3,477,178 posts were queried. Photography conditions were observed to favor visual enhancement of the post-operative result in 282/291 analyzed top posts, with an average bias score of 1.71/5 (± 1.01). Plastic surgeons accounted for only 27.5% of top posts. Physicians practicing outside their scope of practice accounted for 2.8% of top posts including a general surgeon, dermatologist, dentist, ophthalmologist, and maxillofacial surgeon. Accounts with a greater number of followers (p = 0.017) and posts originating from Asia (p = 0.013) were significantly associated with a higher post-operative photography bias score. Conclusions Photographic misrepresentation, with photography conditions biased towards enhancing the appearance of the postoperative result, is pervasive on Instagram. This pattern was observed across all physician specialties and raises significant concerns. Accounts with a greater number of followers demonstrated significantly greater postoperative photography bias, suggesting photographic misrepresentation is awarded by greater user engagement.

Study of Detecting the Political Bias in News Articles

Nowadays news audiences are experiencing an "echo chamber" due to news biased coverage, which causes individuals to shape views with only one side of the story in mind. Media is considered the strongest source of insight and viewpoint for readers about current events. Therefore, the inequality and misrepresentation of media portrayal of topics is necessary to scrutinise. So, by computing a bias score for the news articles, the reader is able to make an informed decision related to particular events. In this paper, an attempt is made to prepare a survey report detailing some of the literature work done for figuring out the systems which detect the political bias for the news articles.

Prevalence of osteoarthritis in lower middle- and low-income countries: a systematic review and meta-analysis

Evidence from the Global Burden of Disease studies suggests that osteoarthritis (OA) is a significant cause of disability globally; however, it is less clear how much of this burden exists in low-income and lower middle-income countries. This study aims to determine the prevalence of OA in people living in low-income and lower middle-income countries. Four electronic databases (MEDLINE, EMBASE, CINAHL and Web of Science) were systematically searched from inception to October 2018 for population-based studies. We included studies reporting the prevalence of OA among people aged 15 years and over in low-income and lower middle-income countries. The prevalence estimates were pooled across studies using random effects meta-analysis. Our study was registered with PROSPERO, number CRD42018112870.The search identified 7414 articles, of which 356 articles were selected for full text assessment. 34 studies were eligible and included in the systematic review and meta-analysis. The pooled prevalence of OA was 16·05% (95% confidence interval (CI) 12·55–19·89), with studies demonstrating a substantial degree of heterogeneity (I2 = 99·50%). The pooled prevalence of OA was 16.4% (CI 11·60–21.78%) in South Asia, 15.7% (CI 5·31–30·25%) in East Asia and Pacific, and 14.2% (CI 7·95–21·89%) in Sub Saharan Africa. The meta-regression analysis showed that publication year, study sample size, risk of bias score and country-income categories were significantly associated with the variations in the prevalence estimates. The prevalence of OA is high in low-income and lower middle-income countries, with almost one in six of the study participants reported to have OA. With the changing population demographics and the shift to the emergence of non-communicable diseases, targeted public health strategies are urgently needed to address this growing epidemic in the aging population.