Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of intracameral phenylephrine/ketorolac 1.0%/0.3% on postoperative cystoid macular edema, iritis, pain, and photophobia following cataract surgery.

PURPOSE To assess the effectiveness of intracameral phenylephrine/ketorolac during cataract surgery compared with postoperative topical steroids in reducing incidence of postoperative clinical cystoid macular edema (CME) confirmed via optical coherence tomography (OCT), breakthrough iritis, pain, and photophobia. SETTING Ambulatory surgical center/clinical practice. DESIGN Retrospective 2-cohort study. METHODS This study of cataract surgery patients compared the incidence of postoperative CME, breakthrough iritis, pain, and photophobia between patients receiving either intracameral phenylephrine/ketorolac 1.0%/0.3% during surgery or topical loteprednol 0.5% 2 days preoperatively, tapered postoperatively. Patients with prior CME or at high risk for postoperative CME, combined cataract/glaucoma surgery, and medication protocols different from those studied here were excluded. All eyes received bromfenac 2 days preoperatively and 10 weeks postoperatively. RESULTS The study enrolled 2218 eyes (n=1402). The phenylephrine/ketorolac treatment group included 1334 eyes (n=830) and the topical loteprednol control group included 884 eyes (n=572). The groups were comparable in age, race, gender, and perioperative characteristics. Clinical CME incidence was significantly lower in the phenylephrine/ketorolac group (0.52% vs 1.47%, P=0.021). The phenylephrine/ketorolac group also had significantly lower breakthrough iritis (1.72% vs 4.86%, P<0.001) and pain (1.27% vs 4.19%, P<0.001) than the topical loteprednol group. The incidence of photophobia trended lower for the phenylephrine/ketorolac group relative to the topical loteprednol group (0.90% vs 1.13%, respectively , P=0.590) but was not statistically significant. CONCLUSION Intracameral phenylephrine/ketorolac and topical NSAIDs without postoperative topical steroids significantly reduced postoperative clinical CME, breakthrough iritis, and pain after cataract surgery when compared with conventional perioperative topical steroids and NSAIDs.
On-demand modulation of 3D-printed elastomers using programmable droplet inclusions

Significance To manipulate extruded ink composition and properties in real time, we demonstrate the concurrent generation and deposition of textured inks with droplet inclusions. Dispersing different fluids into droplets within PDMS, we demonstrate the ability to locally impart function at the point of print, either by chemical modification resulting in mechanical compliance or by using functional nanoparticle suspensions that respond to external stimulus (e.g., B field). The present study thus introduces a strategy for facile fabrication of heterogeneous and functional structures. One of the key thrusts in three-dimensional (3D) printing and direct writing is to seamlessly vary composition and functional properties in printed constructs. Most inks used for extrusion-based printing, however, are compositionally static and available approaches for dynamic tuning of ink composition remain few. Here, we present an approach to modulate extruded inks at the point of print, using droplet inclusions. Using a glass capillary microfluidic device as the printhead, we dispersed droplets in a polydimethylsiloxane (PDMS) continuous phase and subsequently 3D printed the resulting emulsion into a variety of structures. The mechanical characteristics of the 3D-printed constructs can be tuned in situ by varying the spatial distribution of droplets, including aqueous and liquid metal droplets. In particular, we report the use of poly(ethylene glycol) diacrylate (PEGDA) aqueous droplets for local PDMS chemistry alteration resulting in significant softening (85% reduced elastic modulus) of the 3D-printed constructs. Furthermore, we imparted magnetic functionality in PDMS by dispersing ferrofluid droplets and rationally designed and printed a rudimentary magnetically responsive soft robotic actuator as a functional demonstration of our droplet-based strategy. Our approach represents a continuing trend of adapting microfluidic technology and principles for developing the next generation of additive manufacturing technology.
An integrated sleep and anxiety intervention for anxious children: A pilot randomized controlled trial

Sleep-related complaints hold complex reciprocal relationships with anxiety and are a pervasive, distressing feature of childhood generalized anxiety disorders (GAD). Although evidence suggests purely anxiety-focused treatments reduce some sleep problems of anxious children, interventions that directly target both anxiety and sleep might produce superior outcomes in both domains. Targeted Behavioral Therapy (TBT), developed for co-morbid sleep and anxiety problems, demonstrated initial efficacy in a small case series but has not been directly compared to anxiety-focused treatment. The current pilot study used a randomized controlled design to compare TBT to “gold standard” cognitive-behavioral therapy (CBT) for anxiety among n = 20 children (ages 6–12) with primary GAD. Multi-informant measures of anxiety and sleep (including actigraphy) were obtained at baseline, post-treatment, and 6-month follow-up. Results indicated significant improvements (based on moderate to large effect sizes) in anxiety and subjective sleep in both treatment groups at post-treatment. Improvements were maintained at 6-month follow-up. Objective sleep onset latency also decreased marginally for both groups at post-treatment (based on small effect size). Findings provide preliminary support for the feasibility and potential utility of anxiety-focused interventions for improving some sleep-related problems among anxious youth. Future studies including large samples are needed.
A new species of Triplophysa (Cypriniformes, Nemacheilidae) from Weihe River in Gansu Province, China

A new species of Tibetan loach, Triplophysa weiheensis sp. nov., is described from the Weihe River in Gansu Province, China, based on morphological and molecular analyses. The new species can be distinguished from all known congeners by a unique combination of the following characters: scaleless; snout abruptly sloping downward, anterior to anterior nostril; lower jaw crescentic, not sharp; body without obvious mottling; lateral line interrupted on posterior trunk at pelvic-fin distal extremity; caudal-peduncle length 2.0-2.7 times its depth; branched rays of pectoral fin 10-11; branched rays of pelvic fin 5-6; inner gill rakers on 1st gill arch 14-16; vertebrae 4+34-36; intestine with 6-7 loops, length ca. 1.8 times SL (n=3); bony capsule of air bladder small and thin; posterior chamber of air bladder absent.
Effects of wearing a full body compression garment during recovery from an ultra-trail race

Abstract In sport disciplines with high levels of muscle damage such as an ultra-trail competition, full body compression garments (FBCG) may have an ergogenic effect during the recovery process. The aim of the study was to assess the influence of FBCG worn for 24 h immediately after a 107-km ultra-trail on delayed onset muscle soreness (DOMS), muscle damage, inflammatory and renal response. Thirty-two athletes (19 males and 13 females; VO2peak: 54.1 ± 5.2 ml O2/kg/min) participated in the study. The following blood markers were analysed before, immediately after, at 24 and 48 h post-race: lactate dehydrogenase, creatine kinase, C-reactive protein and creatinine. The glomerular filtration rate was also calculated. Delayed onset muscle soreness was evaluated before, immediately after and at 24 h post-race. On arrival at the finishing line, athletes were randomised into one of two recovery groups (FBCG and control group). The results showed that wearing FBCG did not influence the evolution of any of the blood markers up to 48 h after the race (p > .05). However, FBCG group presented a lower increase in posterior leg DOMS (11.0 ± 46.2% vs 112.3 ± 170.4%, p = .03, d = 0.8). Therefore, although FBCG is not useful for reducing muscle damage and inflammatory response after an ultra-trail race, its use may still be recommended as a recovery method to reduce muscle soreness. Trial registration: ClinicalTrials.gov identifier: NCT03990259.
Task-driven Perception and Manipulation for Constrained Placement with No Shape Priors

—Recent progress in robotic manipulation has dealt with the case of no prior object models in the context of relatively simple tasks, such as bin-picking. Existing methods for more constrained problems, however, such as deliberate placement in a tight region, depend more critically on shape information to achieve safe execution. This work introduces a possibilistic object representation for solving constrained placement tasks without shape priors. A perception method is proposed to track and update the object representation during motion execution, which respects physical and geometric constraints. The method operates directly over sensor data, modeling the seen and unseen parts of the object given observations. It results in a dynamically updated conservative representation, which can be used to plan safe manipulation actions. This task-driven perception process is integrated with manipulation task planning architecture for a dual-arm manipulator to discover efﬁcient solutions for the constrained placement task with minimal sensing. The planning process can make use of handoff operations when necessary for safe placement given the conservative representation. The pipeline is evaluated with data from over 240 real-world experiments involving constrained placement of various unknown objects using a dual-arm manipulator. While straightforward pick-sense-and-place architectures frequently fail to solve these problems, the proposed integrated pipeline achieves more than 95% success and faster execution times.
Multiparameter Real-World System Identification Using Iterative Residual Tuning

In this work, we consider the problem of nonlinear system identification using data to learn multiple and often coupled parameters that allow a simulator to more accurately model a physical system or mechanism and close the so-called reality gap for more accurate robot control. Our approach uses iterative residual tuning (IRT), a recently developed derivative-free system identification technique that utilizes neural networks and visual observation to estimate parameter differences between a proposed model and a target model. We develop several modifications to the basic IRT approach and apply it to the system identification of a five-parameter model of a marble rolling in a robot-controlled labyrinth game mechanism. We validate our technique both in simulation—where we outperform two baselines—and on a real system, where we achieve marble tracking error of 4% after just five optimization iterations.
Drought and Food Security in Kassebwera Parish, Butenga Sub County, Bukomansimbi District, Uganda

Over 800 million people in the world are food insecure where 180 (23%) million are found in the Sub Saharan Africa. The paper establishes the association between drought and food security in Kassebwera parish, Butenga Sub County, Bukomansimbi district, Uganda. The paper uses both crosssectional and descriptive survey designs which included mixed methods data collection approaches. 1996 people were targeted and a sample of 322 respondents was determined using Krejcie and Morgan sample size formula. Data was collected through questionnaire which was validated through validity and reliability tests. Reliability was ensured through a pilot study and administered two times at different intervals. Thereafter, responses were calculated using Cronbach Alpha and the reliability was found at 0.778. Validity was ensured through content value index based on the number valid items in the questionnaire, hence a CVI of 0.735 was obtained. Data collected was organized, edited, coded and entered into the SPSS for analysis from which descriptive and inferential statistics were generated that is, regression and correlation. Results indicated that, drought contributes 38.6% while the other factors 61.4% to the variation of food security. The study recommends that, sensitization, awareness and capacity building in SMART agriculture should be enhanced among the households to adapt to the effects of drought on food security.
WHEN ORTHOGRAPHY AND PHONOLOGY COLLIDE: THE EFFECT OF ORTHOGRAPHY ON THE PHONETIC PRODUCTION OF HOMOPHONES (Under the Direction of Margaret Renwick) BY MAISY ELIZABETH FRENCH WHEN ORTHOGRAPHY AND PHONOLOGY COLLIDE: THE EFFECT OF ORTHOGRAPHY ON THE PHONETIC PRODUCTION OF HOMOPHONES

This study is the first to investigate the effects of orthography on the phonetic production of spontaneous speech. It is also unique in that it utilizes corpus speech data. The speech utilized for this study is extracted from the Buckeye Speech Corpus and the Santa Barbara Corpus of Spoken American English. Homophone pairs with differing orthographic vowels were compared acoustically in tokens from these corpora. The results of two-tailed t-tests show that speakers may have different pronunciations in words with different orthographic vowels and the difference appears primarily in the F2. However, many of the control pairs were also found to be significantly different in their acoustic measurements. Therefore, any significant changes to the acoustics of the homophone productions could be caused by a variety of factors not necessarily including orthography. Further investigation with more homophone pairs and greater token numbers is required to clarify these findings. WHEN ORTHOGRAPHY AND PHONOLOGY COLLIDE: THE EFFECT OF ORTHOGRAPHY ON THE PHONETIC PRODUCTION OF HOMOPHONES (Under the Direction of Margaret Renwick)
EXPERIMENTAL ALDER (ALNUS SPP.) PLANTATION

Europe ranging from southwest Spain to northern Scandinavia and northwest Russia. In Latvia, A. incana is the fourth most distributed tree species and covers 206511.3 ha of forest land, but A. glutinosa is less widespread (82165.4 ha) (State Forest Service data, 2015). Most Alnus species are tetraploids (2n = 4x = 28) (Oginuma et al. 2000). Alnus incana has been utilized for establishment INTRODUCTION
A Field Study on Biochemical Changes Associated with Salmonella Infection in Ducklings

1 Bacteriology, Kafr El sheikh Regional Laboratory, Animal Health Research Institute, Agricultural Research Center (ARC), Egypt. 2 Reference Laboratory for Veterinary Quality Control on Poultry Production, Animal Health Research Institute, Agricultural Research Center (ARC), Egypt. 3 Biochemistry, Kafr El sheikh Regional Laboratory, Animal Health Research Institute, Agricultural Research Center (ARC), Egypt. 4 Poultry diseases, Kafr El sheikh Regional Laboratory, Animal Health Research Institute, Agricultural Research Center (ARC), Egypt. * Corresponding author’s Email: kindmemo@yahoo.com; ORCID: 0000-0002-5733-8606 Received: 22 Feb. 2020 Accepted: 28 Mar. 2020 ABSTRACT
Title: Time Location Sampling and Respondent Driven Sampling: techniques implementation for monitoring concentrated HIV/AIDS epidemic in Mexico

Monitoring HIV/AIDS in countries with concentrated epidemics requires special methods to carry out sexual behavior surveys or estimate the prevalence of HIV. Accessing stigmatized population groups such as men who have sex with men (MSM), male and female sex workers (MSW and FSW) or mobile populations such as long-distance truck drivers (truckers) is a challenge, but their data are necessary to establish the progress of the epidemic and to offer prevention and HIV testing in places where these groups gather.
Associations between language style matching and relationship commitment and satisfaction: An integrative data analysis

Language style matching (LSM) refers to similarity in function word use between two people during a conversation. Previous research has shown that LSM predicts romantic relationship stability, but it remains unknown why LSM is associated with stability. Across five studies from five different labs, we aimed to identify links between LSM and two relationship perceptions strongly associated with stability: commitment and satisfaction. Based on prior work, we hypothesized that LSM would be associated with commitment but not satisfaction. This hypothesis was supported in Study 1 (N = 82) but was not supported in Study 2 (N = 158). Preregistered analyses of three additional data sets (N = 198, 190, 138) were then conducted to attempt to replicate the effect between commitment and LSM. The predicted associations between LSM and commitment/satisfaction, measured concurrently and longitudinally, were not observed in Studies 3–5. Moreover, a meta-analysis across all 766 individuals (N = 383 couples) revealed that although the association between LSM and satisfaction was marginal (M r = .10, Z = 1.92, p = .05, confidence interval (CI) = −. 002, . 203), there was no link between LSM and commitment (M r = .05, Z = 0.97, p = .33, CI = −.052, .154). Across conflict discussions (i.e., in Studies 1 and 3–5), there were no associations between conflict LSM and satisfaction (M r = .09, Z = 1.49, p = .14, CI = −.028, .203) or commitment (M r = .03, Z = 0.50, p = .62, CI = −.087, .145). These findings suggest that if true associations between LSM and commitment and satisfaction exist, they are very small effects. They also emphasize the importance of replicating one’s own findings and illustrate a fruitful approach to replicating findings from high-investment studies through collaborating with researchers with similar data sets to increase statistical power and, in turn, reproducibility.
Influence of varying mix proportions on thermal performance of soil-cement blocks

Soil-cement blocks generally comprise graded soil, cement and sand to varying proportions to achieve desired structural performance and durability. In their actual integration as part of a building masonry element (envelope), the thermal performance of these blocks determines the climate-responsiveness of the building. However, little study has been done in discerning the influence of varying mix-proportion on the thermal performance of these blocks. The current study examines the role of physio-chemical properties, determined by the varying mix-proportions, on the thermal performance of soil-cement blocks. The paper discerns the influence of the clay content, cement content and dry density on the thermal conductivity of the soil-cement blocks. For this study, soil-cement blocks casted with locally available materials been adopted. Preliminary results revealed that as the clay content increases from 10.5 to 31.6% the thermal conductivity value increases. Further, with an increase in cement content from 5 to 16% the thermal conductivity values also increases. The thermal conductivity tests conducted using QTM-500 thermal conductivity testing instrument. Further investigation included the influence of soil-cement blocks’ thermal properties on dynamic building thermal performance such as time lag and decrement factor. The results of the study are expected to support design of climate-responsive building envelopes for various climatic conditions.
Running Head: TOO GOOD TO CARE 1 Too good to care: The effect of skill on hostility and aggression following violent video game play

An experiment tested if higher skilled players would experience diminished aggression related outcomes compared to lower skilled players due to flow state optimization. Specifically, the study observed if higher flow states made narrative-defined game goals more salient, thus reducing focus on the more peripheral violent content. After controlling for the amount, type, and context of violence, higher skilled players experienced lower levels of hostility and aggression related cognitions and greater levels of flow than lower skilled players. Additionally, skill altered players’ perceptions as well, as higher skilled players experienced higher construal levels than lower skilled players.
Syntactically-Constrained Paraphrase Generation with Tree-Adjoining Grammar

The paraphrasing task is twofold: a good paraphrase must both maintain semantic similarity to the original sentence while also incorporating an interesting level of syntactic diversity. In this work, we propose a modiﬁed syntactically controlled paraphrase network ( scpn ) that is trained to produce a paraphrase of the input sentence with a desired syntax, encoded as a sequence of Tree Ad-joining Grammar elementary trees. First, we demonstrate that an scpn using elementary trees can successfully produce paraphrases that follow the syntactic constraint, remain faithful to the key semantic content of the original sentences, and oﬀer some level of syntactic diversity relative to the original sentences. We also show how sequence-to-sequence translation of elementary trees can be used to create an end-to-end paraphrase generation system that does not require the elementary tree sequence of a desired paraphrase. Next, we explore how this model architecture can be modiﬁed to simulate sequential human sentence planning. We compare how the modiﬁed model performs when provided with elementary trees in either linear or hierarchical order. The success of smaller models trained on hierarchically-ordered data gives some support to models of human sentence production that prioritize selection of hierarchically-relevant information.
IS IT POSSIBLE TO AUTOMATICALLY PRODUCE A CORINE LAND COVER MAP FROM A SINGLE SPOT IMAGE?

CORINE Land Cover (CLC) maps are generated using satellite images and many ancillary data such as aerial photographs. The information provided by the maps is derived manually by GIS-aided visual image interpretation with huge ﬁnancial and human effort. To make more efﬁcient the CORINE Land Cover generation by the use of satellite images, in this paper, we studied how much information they provide to the CORINE Land Cover map. Based on the latter and the corresponding 3-band SPOT images, the study focuses on the use of spectral and textural features, Maximum a Posteriori clas-siﬁcation method and Markov Random Field into a hierarchical per pixel classiﬁcation, and assesses them for the generation of CORINE Land Cover classiﬁcation. When comparing the classiﬁed image with the map, the results show that the hierarchical classiﬁcation improves the accuracy of some classes, and thus makes it possible to extract many more CORINE Land Cover classes than the single Maximum a Posteriori classiﬁcation method.
Data Visualization and Descriptive Analysis for Understanding Epidemiological Characteristics of COVID-19: A Case Study of a Dataset from January 22, 2020 to March 29, 2020

COVID-19 is a disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2) that was reported to spread in people in December 2019. Understanding epidemiological features of COVID-19 is important for the ongoing global efforts to contain the virus. As a complement to the available work, in this article we analyze the Kaggle novel coronavirus dataset of 3397 patients dated from January 22, 2020 to March 29, 2020. We employ semiparametric and nonparametric survival models as well as text mining and data visualization techniques to examine the clinical manifestations and epidemiological features of COVID-19. Our analysis shows that: (i) the median incubation time is about 5 days and older people tend to have a longer incubation period; (ii) the median time for infected people to recover is about 20 days, and the recovery time is significantly associated with age but not gender; (iii) the fatality rate is higher for older infected patients than for younger patients.