Miracle-dz/UniFAR-FTUs huggingface dataset:
Negative Emotions and Risk for Type 2 Diabetes Among Korean Immigrants

Purpose The purpose of this study is to examine the relationship between negative emotions and bio-behavioral risk factors among Korean immigrants at risk for type 2 diabetes (T2DM). Methods Data were collected from 148 Korean immigrant adults who are “at risk” for T2DM as defined by having family history of T2DM in first-degree relatives, body mass index greater than 23, or history of gestational diabetes in women. Participants completed questionnaires and underwent biological measures. Negative emotions included feeling nervous, hopeless, restless, anxious, and stressed as well as depressive symptoms. Results High percentages of participants had T2DM risk factors including overweight, greater than normal waist to hip ratio, and blood glucose readings that are indicative of T2DM. Feeling stressed was the most commonly reported negative emotion (66%), followed by feeling anxious (51%), restless (38%), nervous (30%), and hopeless (13%). Experience of negative emotions was significantly related to behavioral risk factors; higher levels of experiencing negative emotions were related to increased soda intake and a decreased likelihood of doing at least 10 minutes of moderate exercise. Stress and anxiety were each negatively related to moderate exercise, and depressive symptoms were negatively related to both moderate and vigorous exercise. No significant relationship was found between negative emotions and biological risk factors. Conclusions Findings suggest that negative emotions, individually and taken together, may be related to T2DM risk behaviors in high-risk Korean immigrants. Behavioral interventions to prevent T2DM in this population should consider assessing and addressing negative emotions.
An early and mysterious histerid inquiline from Cretaceous Burmese amber (Coleoptera, Histeridae)

Abstract We describe a new genus and species of Histeridae from Upper Cretaceous Burmese amber, Amplectister tenax Caterino & Maddison, gen. & sp. n. This species represents the third known Cretaceous histerid, which, like the others, is highly distinct and cannot easily be placed to subfamily. It exhibits prosternal characters in common with Saprininae, but other characters appear inconsistent with this possibility. The abdominal venter is strongly concave, and the hind legs are enlarged and modified for grasping. We hypothesize that this represents the earliest example in Histeridae of modifications for phoresy on social insects.
A dynamic bandwidth and power allocation scheme for cooperative D2D communications

In future mobile networks, the device-to-device (D2D) communication is considered as an efficient technique emerging direct and high-speed data transmission among devices (e.g. mobile social network services and machine type communications). Due to spectrum reuse among devices, the D2D however also brings in more interference, which will cause degradation in network performances. Therefore the concept of cooperative D2D communication is recently proposed to this issue and efficient radio resource allocations are further required. In this context, this paper focused on the bandwidth and power allocation problem for cooperative D2D communication and proposed a dynamic allocation scheme according to the channel status information (CSI) and data rate requirement. The goal is to minimize the total transmission power consumption in a cooperative D2D network with M transmitting devices(TDs) under respective data rate constraints of N receiving devices(RDs). Based on the KKT (Karush-Kuhn-Tucker) conditions of this problem, the dynamic allocation scheme is designed both for the cooperative diversity and multiplex modes. This scheme gives closed-form solutions for bandwidth and power allocation in cooperative diversity mode, and reduces the computational complexity of allocation in cooperative multiplex mode.
Increased serum G72 protein levels in patients with schizophrenia: a potential candidate biomarker

Objective The product of the G72 gene is an activator of d-amino acid oxidase and has been suggested to play a role in the pathogenesis of schizophrenia. Increased G72 protein levels may be associated with disturbed glutamatergic transmission and increased reactive oxygen species. Only one pilot study by Lin et al. has investigated the potential role of serum G72 protein levels as a biomarker for schizophrenia. In this study, we aimed to compare serum G72 protein levels between patients with schizophrenia and healthy controls, and to retest the results of the previous pilot study. Materials and methods In total, 107 patients with a diagnosis of schizophrenia according to the inclusion and exclusion criteria and 60 age–sex-matched healthy controls were included in the study. The groups were compared regarding serum G72 protein levels. Results The mean serum G72 protein values were 495.90±152.03 pg/ml in the schizophrenia group and 346.10±102.08 pg/ml in the healthy control group. The mean serum G72 protein level was significantly increased in the schizophrenia group compared with the healthy control group (t=−3.89, p<0.001). A receiver operating characteristics analysis was performed to compare the schizophrenia and healthy control groups. It was determined that the cut-off value was 141.51 pg/ml with a sensitivity of 0.991 and a specificity of 0.821. Conclusion We suggest that serum G72 protein levels may represent a candidate biomarker for schizophrenia and have confirmed the results of the previous preliminary study. Additional studies with larger sample sizes and the inclusion of first episode schizophrenia patients are required to clarify the reliability and validity of serum G72 protein levels as a biomarker for schizophrenia.
Circulating tumor cell is a common property of brain glioma and promotes the monitoring system

Brain glioma is the most common primary intracranial tumor characterized by dismal prognosis and frequent recurrence, yet a real-time and reliable biological approach to monitor tumor response and progression is still lacking. Recently, few studies have reported that circulating tumor cells (CTCs) could be detected in glioblastoma multiform (GBM), providing the possibility of its application in brain glioma monitoring system. But its application limits still exist, because the detection rate of CTCs is still low and was exclusively limited to high- grade gliomas. Here, we adopted an advanced integrated cellular and molecular approach of SE-iFISH to detect CTCs in the peripheral blood (PB) of patients with 7 different subtypes of brain glioma, uncovering the direct evidences of glioma migration. We identified CTCs in the PB from 24 of 31 (77%) patients with glioma in all 7 subtypes. No statistical difference of CTC incidence and count was observed in different pathological subtypes or WHO grades of glioma. Clinical data revealed that CTCs, to some extent, was superior to MRI in monitoring the treatment response and differentiating radionecrosis from recurrence of glioma. Conclusively, CTCs is a common property of brain gliomas of various pathological subtypes, which has provided an ultimate paradox for the hypothesis “soil and seed”. It can be used to monitor the microenvironment of gliomas dynamically, which will be a meaningful complement to radiographic imaging.
The Structure and Maintenance of Stationary Waves in the Winter Northern Hemisphere

Abstract Previous studies of extratropical stationary waves in the winter Northern Hemisphere (NH) often focused on effects of orography and land–ocean thermal contrast on the formation, structure, and maintenance of these waves. In contrast, research attention to tropical stationary waves was attracted by the summer monsoon circulations and the ENSO-related climate variability. Consequently, the structure and basic dynamics of tropical stationary waves and the relationship of these waves with those in mid–high latitudes have long been neglected. Thus, the following several distinct features of observed winter NH stationary waves have not been explained: 1) an abrupt change in the longitudinal phase across 30°N; 2) a transition from the vertical phase reversal of tropical stationary waves to the vertically westward tilt of extratropical stationary waves; and 3) a longitudinally quarter-phase relationship between stationary waves and east–west circulations, and a reversal of this relationship across 30°N.
Comparing Pericanalicular Sutures With Direct Canalicular Wall Sutures for Canalicular Laceration

Purpose: To determine whether a statistically significant difference exists between direct canalicular wall sutures (DCs) and pericanalicular sutures (PCs) in the repair of traumatic canalicular lacerations. Methods: The medical records of 63 patients who underwent primary repairs for traumatic canalicular lacerations were retrospectively reviewed. Patients were divided in 2 groups according to the suturing techniques used: the DC group (n = 41) and the PC group (n = 22). Anatomic results were compared between these 2 groups. A successful result was determined by attempted irrigation and probing of the injured canaliculus at the last follow-up visit. Results: There were 6 failed procedures among the patients who underwent pericanalicular repair and 1 failed procedure among the patients who underwent direct canalicular wall repair (p = 0.024). Conclusions: These data support the higher success rates in patients treated with direct canalicular repair compared with pericanalicular repair.
Market-based Multirobot Coordination for Complex Tasks

Current technological developments and application-driven demands are bringing us closer to the realization of autonomous multi-robot systems performing increasingly complex missions. However, existing methods of distributing mission subcomponents among multirobot teams do not explicitly handle the required complexity and instead treat tasks as simple indivisible entities, ignoring any inherent structure and semantics that such complex tasks might have. These task properties can be exploited to produce more efficient team plans by giving individual robots the ability to come up with new, more localized ways to perform a task; by allowing multiple robots to cooperate by sharing the subcomponents of a task; or both. In this paper, we describe the complex task allocation problem and present a distributed solution for efficiently allocating a set of complex tasks among a robot team. Complex tasks are tasks that can be solved in many possible ways. In contrast, simple tasks can be accomplished in a straightforward, prescriptive manner. The current scope of our work is currently limited to complex tasks that can be decomposed into multiple subtasks related by Boolean logic operators. Our solution to multirobot coordination for complex tasks extends market-based approaches by generalizing task descriptions into task trees, which allows tasks to be traded in a market setting at variable levels of abstraction. In order to incorporate these task structures into a market mechanism, novel and efficient bidding and auction clearing algorithms are required. As an example scenario, we focus on an area reconnaissance problem which requires sensor coverage by a team of robots over a set of defined areas of interest. The advantages of explicitly modeling complex tasks during the allocation process is demonstrated by a comparison of our approach with existing task allocation algorithms in this application domain. In simulation we compare the quality of solution and the computation times of these different approaches. Implementations on two separate teams of indoor and outdoor robots further validates our approach.
Can the apparent diffusion coefficient differentiate the grade of endometrioid adenocarcinoma and the histological subtype of endometrial cancer?

Background Diffusion-weighted imaging (DWI) provides useful information for the identification of benign and malignant uterine lesions. However, the use of the apparent diffusion coefficient (ADC) for histopathological grading of endometrial cancer is controversial. Purpose To explore the use of ADC values in differentiating the preoperative tumor grading of endometrioid adenocarcinomas and investigate the relationship between the ADC values of endometrial cancer and the histological tumor subtype. Material and Methods We retrospectively evaluated 98 patients with endometrial cancers, including both endometrioid adenocarcinomas (n = 80) and non-endometrioid adenocarcinomas (n = 18). All patients underwent DWI procedures and ADC values were calculated. The Kruskal–Wallis test and the independent samples Mann–Whitney U test were used to compare differences in the ADC values between different tumor grades and different histological subtypes. Results The mean ADC values (ADCmean) for high-grade endometrioid adenocarcinomas were significantly lower than the values for low-grade tumors (0.800 versus 0.962 × 10–3 mm2/s) (P = 0.002). However, no significant differences in ADCmean and minimum ADC values (ADCmin) were found between tumor grades (G1, G2, and G3) of endometrial cancer. Compared with endometrioid adenocarcinomas, the adenocarcinoma with squamous differentiation showed lower ADC values (mean/minimum = 0.863/0.636 versus 0.962/0.689 × 10–3 mm2/s), but the differences were not significant (Pmean = 0.074, Pmin = 0.441). Moreover, ADCmean for carcinosarcomas was significantly higher than the value for G3 non-carcinosarcoma endometrial cancers (1.047 versus 0.823 × 10–3 mm2/s) (P = 0.001). Conclusion The ADCmean was useful for identifying high-grade and low-grade endometrioid adenocarcinomas. Additionally, squamous differentiation may decrease ADCmean and ADCmin of endometrioid adenocarcinoma, and carcinosarcomas showed relatively high ADCmean.
Super‐resolved insights into human immunodeficiency virus biology

The recent development of fluorescence microscopy approaches overcoming the diffraction limit of light microscopy opened possibilities for studying small‐scale cellular processes. The spatial resolution achieved by these novel techniques, together with the possibility to perform live‐cell and multicolor imaging, make them ideally suited for visualization of native viruses and subviral structures within the complex environment of a host cell or organ, thus providing fundamentally new possibilities for investigating virus–cell interactions. Here, we review the use of super‐resolution microscopy approaches to study virus–cell interactions, and discuss recent insights into human immunodeficiency virus biology obtained by exploiting these novel techniques.
Type 1 long QT syndrome and psychological stress in a laboratory setting

Trait-like sensitivity to stress in long QT syndrome patients has been documented previously. In addition, mental stress has been associated with symptomatic status of long QT syndrome. We examined whether the symptomatic type 1 long QT syndrome patients would be more sensitive to mental stress compared to asymptomatic patients and whether there would be differences in task-related physiological stress reactions between type 1 long QT syndrome patients and healthy individuals. The study population consisted of 21 symptomatic and 23 asymptomatic molecularly defined KCNQ1 mutation carriers, their 32 non-carrier relatives and 46 non-related healthy controls, with mean ages of 37, 39, 35 and 23 years, respectively. Electrocardiography was utilised to calculate inter-beat interval and high frequency and low frequency heart rate variability. Blood pressure was measured and mean arterial pressure and pulse pressure were calculated. Stress was induced using three different tasks: mental arithmetic, reaction time and public speech. Stress responses of symptomatic and asymptomatic type 1 long QT syndrome patients were not statistically different in any of the stress tasks. Short-term physiological stress reactivity of symptomatic type 1 long QT syndrome patients appears to be normal and does not enhance the risk assessment of asymptomatic mutation carriers.
Developing a predictive model for fine particulate matter concentrations in low socio‐economic households in Durban, South Africa

In low-resource settings, there is a need to develop models that can address contributions of household and outdoor sources to population exposures. The aim of the study was to model indoor PM2.5 using household characteristics, activities, and outdoor sources. Households belonging to participants in the Mother and Child in the Environment (MACE) birth cohort, in Durban, South Africa, were randomly selected. A structured walk-through identified variables likely to generate PM2.5 . MiniVol samplers were used to monitor PM2.5 for a period of 24 hours, followed by a post-activity questionnaire. Factor analysis was used as a variable reduction tool. Levels of PM2.5 in the south were higher than in the north of the city (P < .05); crowding and dwelling type, household emissions (incense, candles, cooking), and household smoking practices were factors associated with an increase in PM2.5 levels (P < .05), while room magnitude and natural ventilation factors were associated with a decrease in the PM2.5 levels (P < .05). A reasonably robust PM2.5 predictive model was obtained with model R2 of 50%. Recognizing the challenges in characterizing exposure in environmental epidemiological studies, particularly in resource-constrained settings, modeling provides an opportunity to reasonably estimate indoor pollutant levels in unmeasured homes.
Leg Muscle Power in 12-Year-Old Black and White Tunisian Football Players

This study examined leg muscle power of young male Tunisian black and white football players and extended the analysis to determine whether there is a relationship between cycling peak power output (PPO) and some field tests. A total of 113 children (white group (WG) = n = 56; black group (BG) = n = 57) participated in this investigation. Anthropometric data included age, body mass (BM), height, leg length (LL), body mass index (BMI), and leg muscle volume (LMV). Cycling PPO was measured including a force–velocity test. Peak power output (PPO; W and W/kg), Fopt (optimal braking force), and Vopt (optimal velocity) were significantly higher in the WG compared with the BG (p < 0.05). However, jump and sprint performances of the BG were significantly higher than the WG (p < 0.05). Multiple stepwise regression with anthropometric variables and the extrapolated values of the force–velocity test as explanatory factors showed that 33% of the variance of PPO of BG was explained by qualitative factors that may be related to cycling skill, muscle composition, and socioeconomic and training status.
Edge Effects Influence the Abundance of the Invasive Halyomorpha halys (Hemiptera: Pentatomidae) in Woody Plant Nurseries

ABSTRACT The invasive brown marmorated stink bug, Halyomorpha halys (Stål), has caused severe economic losses in the United States and is also a major nuisance pest invading homes. In diverse woody plant nurseries, favored host plants may be attacked at different times of the season and in different locations in the field. Knowledge of factors influencing H. halys abundance and simple methods to predict where H. halys are found and cause damage are needed to develop effective management strategies. In this study, we examined H. halys abundance on plants in tree nurseries as a function of distance from field edges (edge and core samples) and documented the abundance in tree nurseries adjoining different habitat types (corn, soybean, residential areas, and production sod). We conducted timed counts for H. halys on 2,016 individual trees belonging to 146 unique woody plant cultivars at two commercial tree nurseries in Maryland. Across three years of sampling, we found that H. halys nymphs and adults were more abundant at field edges (0–5mfrom edges) than in the core of fields (15–20mfrom edges). Proximity of soybean fields was associated with high nymph and adult abundance. Results indicate that monitoring efforts and intervention tactics for this invasive pest could be restricted to field edges, especially those close to soybean fields. We show clearly that spatial factors, especially distance from edge, strongly influence H. halys abundance in nurseries. This information may greatly simplify the development of any future management strategies.
Parametric Modeling of Moisture Assisted Creep in Polymeric Composites

This paper is concerned with the development of a simple mechanical model for studying the effect of moisture absorption on the creep performance of polymeric composites. It is based on the application of Kelvin-Voight model generally used for viscoelastic materials. Moisture diffusion is assessed using a Fickean solution, and the property changes in composites due to moisture absorption are estimated using linear empirical relations. A parametric study has been performed to bring out the relative effects of material parameters, level of moisture, the elastic modulus, viscous modulus and the volume fraction (swelling) of the polymer due to moisture absorption. Results are pre sented with the help of non-dimensional plots of compliance variation with time. Since the material parameters are also expressed in non-dimensional form, findings and conclusions are not restricted to any particular composite.
Prediction of Boron Content in Wood Pellet Products by Near-Infrared Spectroscopy

Abstract A rapid method assessed the potential of near-infrared spectroscopy (NIRS) to estimate boron content of wood pellet products. Based on a comparison of NIR spectra data in the 1,100- to 2,200-nm wavelength region of Eastern black spruce (Picea mariana var. mariana) wood pellets treated with preservative concentrations ranging from 0 to 2 percent and from 0 to 20 percent glycol borate–based disodium octaborate tetrahydrate (DOT), the minimum level of boric acid equivalent required to protect wood from biodegradation was revealed. Borate was indicated in the 1,700- to 1,900-nm wavelength region and the visible-NIR absorbance trended to a proportion higher for the lower borate concentrations and lower for the higher borate concentrations. These were correlated by projection to the latent structures–partial least-squares regression method and the sample-specific standard error of prediction method. Calibration sets achieved R2 values from 0.7 to 0.95, root mean square error (RMSE) ranging from 0.3 to .
Experimental Study on Specimens of Steel Secondary Beam Embedded in Reinforced Concrete Girder of Frame Structure

Test of two specimens (four different joints) of steel secondary beam embedded in reinforced concrete girder in frame structure and one specimen with steel cantilever beam embedded in reinforced concrete girder under static load were conducted. The steel beam up-flange was pulled out because of the concrete cracks caused by the moment, shear and torsion at the upper zone of the concrete beam near the steel beam end. Shear failure of the concrete beam and the top flange pullout failure are the most hazardous failure modes. Lacking restraint of concrete and the reinforcement of steel bar in the concrete slab and catenary action of restraint steel beam, the capacity of steel cantilever beam is much smaller than other beams. Load-slip curve of top flange of steel beam, load-rotation curve of the steel beam end are obtained through experiment. Primary calculation method of joints flexural capacity related to section size of composite steel beam, embedded depth of steel beam, flange width of steel beam embedded end, height of frame girder, is put up with. Analytical results of ABAQUS are shown as follows. Top flange pullout failure of steel beam is caused by the detachment of concrete and steel beam end, and the warp of the concrete slab near the support plays an unfavorable action on the performance of the steel beam. The end rotational angle of the steel beam with anchor bar is smaller than that without. The steel beam with shear connectors develops a smaller rotational angle and a higher load capacity.