Miracle-dz/UniFAR-FTUs huggingface dataset:
Biological Control-Parasitoids and Predators Status of Stink Bug (Hemiptera: Pentatomidae) Egg Parasitoids in Soybeans in Louisiana

Stink bugs are important insect pests of soybean, Glycine max (L.), in Louisiana. Scouting, economic thresholds, and insecticide applications are the main strategies used in the integrated pest management of soybean insect pests. However, biological control of stink bug eggs by parasitoids has the potential to reduce populations of these pests. A survey of stink bug egg parasitoids was conducted at different sites in Louisiana from 2008 to 2010. Similarly, a study on the incidence of stink bug egg parasitoids within soybean vertical strata and plant structures was conducted in 2009 to 2011. Species of stink bug eggs collected during the studies included the redbanded stink bug, Piezodorus guildinii (Westwood), the brown stink bug species complex, Euschistus spp. , the southern green stink bug, Nezara viridula L. , the spined soldier bug, Podisus maculiventris (Say), and the green stink bug, Chinavia hilaris (Say). The percentage of stink bug eggs parasitized in the central location of Louisiana was higher compared with the northwest location during the 2008 to 2010 growing seasons. There were no differences in percentage of stink bug egg parasitism within soybean plant strata between 2009 and 2011. Telenomus podisi Ashmead (Hymenoptera: Platygastridae) was the most abundant parasitoid, and it showed preference for P. guildinii. Other platygastrid species that emerged included Trissolcus euschisti Ashmead (Hymenoptera: Platygastridae), Gryon obesum Masner (Hymenoptera: Platygastridae), and Telenomus longicornis Johnson (Hymenoptera: Platygastridae). This study is the first to report the parasitization of P. guildinii eggs on soybeans in the United States.
Sex Differences in the Association of Perceived Ambiguity, Cancer Fatalism, and Health-Related Self-Efficacy with Fruit and Vegetable Consumption

Adequate fruit and vegetable (FV) consumption is promoted as a means of preventing chronic health conditions, such as cardiovascular disease and cancer. This study investigated whether perceived ambiguity about cancer prevention recommendations, fatalistic beliefs about cancer, and health-related self-efficacy were associated with FV consumption and whether sex moderated these associations. Data from the five most recent waves (spanning 2011 to 2017) of the nationally representative Health Information National Trends Survey (N = 16,965) were used. Participants reported levels of perceived ambiguity, cancer fatalism, health-related self-efficacy, and daily FV consumption. Perceived ambiguity and cancer fatalism were negatively associated with FV consumption, ps <. 001, whereas health-related self-efficacy was positively associated with FV consumption, b = 0.34, p < . 001. Sex moderated these associations, ps <. 05. Perceived ambiguity and cancer fatalism were more strongly associated with less FV consumption for men, bs < −0.31, ps <. 001, than women, bs < −0.14, ps <. 01. In contrast, health-related self-efficacy was more strongly associated with more FV consumption for women, b = 0.43, p < . 001, than men, b = 0.26, p < . 001. These results suggest that tailoring health messaging to target sex-specific barriers may improve their effectiveness.
Analysis of the Effect of Agent's Embodiment and Gaze Amount on Personality Perception

In this study, we implemented a gaze model, based on Japanese gaze behavior analysis, on an eyeball manipulable robot and virtual agent. Then, we analyzed the effects of agent embodiment and change in gaze amount on the agent's personality perception with Japanese participants. The results suggested that it is possible to express extroversion and confidence in the agent by changing the agent's gaze amount regardless of the agent's embodiment. In addition, the levels of perceived extroversion as gaze amount increases differ depending on the embodiment of the agents. The virtual agent's perceived extroversion increased in proportion to increases in its gaze amount, whereas the robot's extroversion increased more slowly with increases in its gaze amount.
Adult intussusception : A 14-year retrospective study of clinical assessment and computed tomography diagnosis.

BACKGROUND AND STUDY AIMS Intussusception in adults often remains unrecognized. Our aim was to report our experience with this entity to determine the usefulness of CT scan in its preoperative diagnosis. PATIENTS AND METHODS The medical records and imaging studies of all patients ≥16 years of age with intussusception, who were managed at our hospitals, were retrospectively reviewed. RESULTS 17 cases of adult intussusception (7 males, 10 females; mean age 35.9 years; age range of 16-78) were identified. The diagnosis was possible in all patients using CT scan. The underlying etiologies were colon cancer (n=2), lymphoma (n=2), small bowel polyps (n=2), jejunal lipoma (n=1), metastatic melanoma (n=1), Meckel's diverticulum (MD) (n=1) and idiopathic (n=1). In the remaining 7 patients, the intussusceptions were of the transitory form and were treated conservatively and no significant sequela occurred after a follow-up of 2-60 months. CT scan findings in transient cases characteristically showed that the intussusception was localized to the proximal intestine and all of them had a short segment (2-4 cm) of intussusception. CONCLUSIONS The important role of the CT in the preoperative diagnosis of intussusception and characterizing its causes cannot be overemphasized. All transient cases had a short segment of intussusception.
High-Quality Exposure Correction of Underexposed Photos

We address the problem of correcting the exposure of underexposed photos. Previous methods have tackled this problem from many different perspectives and achieved remarkable progress. However, they usually fail to produce natural-looking results due to the existence of visual artifacts such as color distortion, loss of detail, exposure inconsistency, etc. We find that the main reason why existing methods induce these artifacts is because they break a perceptually similarity between the input and output. Based on this observation, an effective criterion, termed as perceptually bidirectional similarity (PBS) is proposed. Based on this criterion and the Retinex theory, we cast the exposure correction problem as an illumination estimation optimization, where PBS is defined as three constraints for estimating illumination that can generate the desired result with even exposure, vivid color and clear textures. Qualitative and quantitative comparisons, and the user study demonstrate the superiority of our method over the state-of-the-art methods.
Menstrual disorders and their determinants among women with epilepsy

Introduction The purpose of the present study was to assess the prevalence and determinants of menstrual cycle disorders among women with epilepsy. Materials and methods The study included consecutive women with epilepsy who visited a university epilepsy clinic. A number of variables, including demographics, characteristics of epilepsy and its treatment, and data related to reproductive health (regularity of menstrual cycle, number of pregnancies and childbirths), were collected from medical records, seizure diaries, and a dedicated questionnaire. Results The study involved 271 women with epilepsy. Focal epilepsy was diagnosed in 182 (67.2%) patients; 108 (39.8%) women had rare seizures (<1 per year), and 164 patients (60.5%) were on monotherapy. Menstrual abnormalities were found in 78 patients (28.8%). Independent variables associated with irregular cycle included younger age at onset of epilepsy (OR=0.95 per 1-year increase; P=0.008), current use of clonazepam (OR=5.36; P=0.010), and chronic use of medication(s) other than antiepileptic drug(s) (AEDs; OR=2.48; P=0.003). Childbirth rate was low in our cohort (0.50 per patient); independent predictors of being childless in studied patients included younger age, presence of menstrual disorders, and greater number of currently used AEDs. Conclusion Menstrual disturbances were present in 28.8% of studied women with epilepsy. Increased prevalence of menstrual abnormalities was associated with epilepsy itself (younger age at onset of epilepsy) and its treatment (ongoing use of clonazepam), as well as with chronic use of medications other than AEDs.
Ain't Nobody Got Time For Coding: Structure-Aware Program Synthesis From Natural Language

Program synthesis from natural language (NL) is practical for humans and, once technically feasible, would significantly facilitate software development and revolutionize end-user programming. We present SAPS, an end-to-end neural network capable of mapping relatively complex, multi-sentence NL specifications to snippets of executable code. The proposed architecture relies exclusively on neural components, and is trained on abstract syntax trees, combined with a pretrained word embedding and a bi-directional multi-layer LSTM for processing of word sequences. The decoder features a doubly-recurrent LSTM, for which we propose novel signal propagation schemes and soft attention mechanism. When applied to a large dataset of problems proposed in a previous study, SAPS performs on par with or better than the method proposed there, producing correct programs in over 92% of cases. In contrast to other methods, it does not require post-processing of the resulting programs, and uses a fixed-dimensional latent representation as the only interface between the NL analyzer and the source code generator.
Insecure Attachment and Subclinical Depression, Anxiety, and Stress: A Three-Dimensional Model of Personality Self-Regulation As a Mediator

Abstract Although the effects of insecure attachment on vulnerability, incidence, and developing mental disorders have been confirmed by many studies, the mechanism of this effect is still unknown. Therefore, the main aim of this study was to investigate the mediating and moderating role of the three-dimensional model of personality self-regulation in the relationship between insecure attachment and subclinical depression, anxiety, and stress. Four hundred Iranian students at Shiraz University were recruited and completed the following scales: the Revised Adult Attachment, Depression Anxiety Stress, Integrative Self-Knowledge, Mindful Attention Awareness, Self-Control, and Self-Compassion. Results showed that there was a moderate correlation among all the variables under study in the expected directions. Multiple mediating models analyses indicated that regarding the relationship between insecure attachment and depression, the components of integrative self-knowledge, self-control, and self-compassion functioned as mediators. However, regarding the relationship between insecure attachment and anxiety and stress, the components of integrative self-knowledge, mindfulness, and self-compassion relatively functioned as mediators. Further, our results showed that only mindfulness and self-compassion were identified as moderators in the relationship between insecure attachment and depression. It is concluded that insecure attachment may cause psychological damage due to deficiency in the components of the three-dimensional model of personality self-regulation, and that mindfulness and self-compassion may play a protective role in the relationship between insecure attachment and depression.
Characterization of ligature‐induced experimental periodontitis

We sought to better characterize the progression of periodontal tissue breakdown in rats induced by a ligature model of experimental periodontal disease (PD). A total of 60 male Sprague–Dawley rats were evenly divided into an untreated control group and a PD group induced by ligature bilaterally around first and second maxillary molars. Animals were sacrificed at 1, 3, 5, 7, 14, and 21 days after the induction of PD. Alveolar bone loss was evaluated by histomorphometry and microcomputed tomography (μCT). The immune‐inflammatory process in the periodontal tissue was assessed using descriptive histologic analysis and quantitative polymerase chain reaction (qPCR). This ligature model resulted in significant alveolar bone loss and increased inflammatory process of the periodontal tissues during the initial periods of evaluation (0–14 days). A significant increase in the gene expression of pro‐inflammatory cytokines, interleukin‐1β (IL‐1β), interleukin‐6 (IL‐6), and tumor necrosis factor‐α (TNF‐α), and proteins involved in osteoclastogenesis, receptor activator of nuclear factor‐k B ligand (RANKL) and osteoprotegerin (OPG) was observed in the first week of analysis. In the later periods of evaluation (14–21 days), no significant alterations were noted with regard to inflammatory processes, bone resorption, and expression of cytokine genes. The ligature‐induced PD model resulted in progressive alveolar bone resorption with two different phases: Acute (0–14 days), characterized by inflammation and rapid bone resorption, and chronic (14–21 days) with no significant progression of bone loss. Furthermore, the gene expressions of IL‐6, IL‐1β, TNF‐α, RANKL, and OPG were highly increased during the progress of PD in the early periods.
Patterns of renal involvement in a cohort of patients with inflammatory bowel disease in Egypt.

BACKGROUND AND STUDY AIM Renal complications are frequent extraintestinal manifestations in inflammatory bowel disease (IBD). We aimed in our study to describe the spectrum of renal affection in our IBD patients. PATIENTS AND METHODS This study is a retrospective analysis of renal biopsies done for IBD patients who developed renal diseases, at Cairo University Hospital, from June 2005 to Jan. 2016. Results : Among 896 IBD patients, 218 patients (24.3%) developed renal affection. The onset of renal disease mandated renal biopsy at 5.6 ± 7.4 years after IBD diagnosis. Nephrotic range proteinuria was the most common indication for a renal biopsy [81 (37.15%) patients]. Amyloidosis was the most common renal pathological diagnosis [56 patients (25.7%)] followed by immunoglobulin A (IgA) nephropathy [35 patients (16.1%)], focal segmental glome- rulosclerosis (FSGS) [32patients (14.7%)], crescentic glomerulonephritis (CGN) [32 patients (14.7%)], membranous nephropathy (MN) [18 patients (8.25%)], minimal change disease [17 patients (7.7%)], chronic interstitial nephritis (CIN) [10 patients (4.6%)], acute tubular necrosis (ATN) [8 patients (3.7%)], thrombotic microangiopathy (TMA) [6 patients (2.75%)], and acute interstitial nephritis (AIN)[4 patients (1.8%)]. Variable renal histopathology diagnoses did not correlate with age, duration of IBD diagnosis, or drugs used for IBD treatment. Crescentic GN was significantly correlating with ASCA, ANCA-p, and ANCA-c in serum. CONCLUSION Amyloidosis is a common renal pathological diagnosis in our patients, and is followed by IgA nephropathy, and FSGS.
Effect of gamma radiation on storability and functional properties of sorghum grains (Sorghum bicolor L.)

Abstract This study was aimed to evaluate the effect of gamma irradiation at dose levels of 0.5, 1.0, 2.0, 3.0, 4.0, and 5.0 kGy on fungal growth, free fatty acids, in vitro protein digestibility (IVPD), protein solubility, and functional properties of sorghum grains. Results indicated that radiation process enhanced the storability properties. It eliminates the fungal incidence particularly at the higher doses 4.0 and 5.0 kGy, and significantly (p < 0.05) reduced the content of the free fatty acids to the level 3.4–3.2 mg/g. Moreover, a significant increase in IVPD and soluble protein was noticed in irradiated grains as compared to non‐irradiated sample and this increased with the increase in dose; however, maximum IVPD (17.6%) and protein solubility (11.7%) were observed in sorghum grains irradiated at 2.0 kGy. On the other hand, a significant reduction in emulsion capacity was observed after radiation of grains, however, the emulsion activity and stability were stable up to 1.0 kGy. The foaming properties of the radiated sample show no significant change particular at low doses up to 2.0 kGy when they are compared to untreated samples. It can be concluded that low doses of gamma irradiation might improve the storability and quality characteristics of sorghum grains and can be used as an effective alternative postharvest method for preserving and extending the shelf life of sorghum and its products.
Estimating seed and pollen dispersal kernels from genetic data demonstrates a high pollen dispersal capacity for an endangered palm species.

PREMISE OF THE STUDY Seed and pollen dispersal are key processes shaping plant population dynamics and maintaining genetic diversity. The essence of these processes is the movement of propagules from a parental tree to the site of propagule establishment. The estimation of plant dispersal kernels has remained challenging due to the difficulty of making direct observations. We estimated the dispersal capacity of the endangered palm Euterpe edulis, whose seeds are dispersed by vertebrates and pollen by insects. METHODS We used a hierarchical Bayesian model with genetic data from reproductive plants, juveniles, and embryos to estimate dispersal kernels. Our analyses account for genotyping error and uncertainty in parental assignment. KEY RESULTS We found that seeds were dispersed at most a few hundred meters, but pollen was dispersed up to several kilometers. We hypothesize that this long-distance pollen dispersal is generated mainly by euglossine bees, whereas the main dispersal vectors for short-distance seed dispersal are thrushes. The long-distance dispersal of pollen suggests a high level of gene flow that should maintain genetic diversity of E. edulis. Despite the relation between long-distance dispersal and genetic diversity, we observed low genetic diversity and inbreeding within the local population, which are probably due to restricted gene flow due to the low density of this population and its aggregated spatial distribution. CONCLUSIONS We conclude that if conservation actions are able to restore the population density of E. edulis, the recovery of its genetic diversity will be facilitated because of its high dispersal capacity, especially with regard to pollen.
Deep multi-survey classification of variable stars

During the last decade, a considerable amount of effort has been made to classify variable stars using different machine learning techniques. Typically, light curves are represented as vectors of statistical descriptors or features that are used to train various algorithms. These features demand big computational powers that can last from hours to days, making impossible to create scalable and efficient ways of automatically classifying variable stars. Also, light curves from different surveys cannot be integrated and analyzed together when using features, because of observational differences. For example, having variations in cadence and filters, feature distributions become biased and require expensive data-calibration models. The vast amount of data that will be generated soon make necessary to develop scalable machine learning architectures without expensive integration techniques. Convolutional Neural Networks have shown impressing results in raw image classification and representation within the machine learning literature. In this work, we present a novel Deep Learning model for light curve classification, mainly based on convolutional units. Our architecture receives as input the differences between time and magnitude of light curves. It captures the essential classification patterns regardless of cadence and filter. In addition, we introduce a novel data augmentation schema for unevenly sampled time series. We test our method using three different surveys: OGLE-III; Corot; and VVV, which differ in filters, cadence, and area of the sky. We show that besides the benefit of scalability, our model obtains state of the art levels accuracy in light curve classification benchmarks.
Mixed Integer Programming helping Requirements Allocation for the NRP in SCRUM Teams

This paper proposes an approach based on mathematical modeling to provide decision making support for the Next Release Problem (NRP) arising in software development and maintenance companies that use SCRUM to manage teams and new releases of its software products. This approach aims to support the decisions from Product Owners and Teams about which requirements should be implemented for the next software release. Therefore it is proposed to use mixed integer programming in three different objective functions: (i) maximization of the customer satisfaction (considering their business value), (ii) minimization of software development time and (iii) minimization of the costs to produce the requirements. We consider constraints such as team availability, dependencies among requirements, the team's performance among others. The modeling was performed with the help of the AIMMS tool and some case studies were performed in three software development and maintenance companies using real data. The results show that it was possible to adapt the NRP for this kind of companies, achieving a better customer's satisfaction and business results using our approach.
Slackliner - An Interactive Slackline Training Assistant

In this paper we present Slackliner, an interactive slackline training assistant which features a life-size projection, skeleton tracking and real-time feedback. As in other sports, proper training leads to a faster buildup of skill and lessens the risk for injuries. We chose a set of exercises from slackline literature and implemented an interactive trainer which guides the user through the exercises and gives feedback if the exercise was executed correctly. A post analysis gives the user feedback about her performance. We conducted a user study to compare the interactive slackline training system with a classic approach using a personal trainer. No significant difference was found between groups regarding balancing time, number of steps and the walking distance on the line for the left and right foot. Significant main effects for the balancing time on line, without considering the group, have been found. User feedback acquired by questionnaires and semi-structured interviews was very positive. Overall, the results indicate that the interactive slackline training system can be used as an enjoyable and effective alternative to classic training methods.