Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of Material Combinations for Fire-fighter's Protective Clothing on Radiant Protective and Heat-Moisture Transfer Performance

This paper describes an investigation into protective clothing for fire-fighters, made of different material combinations, based on the demand for radiant protective performance (RPP) and heat-moisture transfer properties, which are closely associated with comfort performance. The outer shell and thermal barrier were changed to measure their effects on radiant protection and comfort performance. Also, we compared clothing assemblies which incorporated moisture-permeable and moisture- impermeable barriers. It was our intention to match different material combinations of clothing assemblies, in order not only to provide effective radiant protection but also to maintain a balance between heat and moisture. This study shows the relative importance of the moisture vapour permeability of the moisture barrier on comfort performance in fire-fighters’ protective clothing.
Accessibility and characteristics of memories of the future

ABSTRACT Recent research suggests that some imagined future events are encoded in memory, leading to the formation of “memories of the future”. However, questions remain regarding the exact components of future event simulations that are encoded and the factors that determine their accessibility. To address these questions, the present study investigated memory for previously imagined future events using both free and cued recall tasks. The results showed that most future event simulations were successfully encoded and remained available in memory after a one week delay, but only some of them were readily accessible, whereas others could only be accessed when relevant cues were provided. Persons and locations were particularly well remembered, suggesting that these components are central to the simulation and memorisation of future events. We also found that memory for future event simulations was related to the clarity and familiarity of represented persons, the subjective feelings of pre-experience and mental time travel, the importance of imagined events to personal goals, and their emotional intensity during the initial simulation phase. Taken together, these findings expand our understanding of the formation, accessibility, and characteristics of memories of the future.
Detecting host–parasitoid interactions in an invasive Lepidopteran using nested tagging DNA metabarcoding

Determining the host–parasitoid interactions and parasitism rates for invasive species entering novel environments is an important first step in assessing potential routes for biocontrol and integrated pest management. Conventional insect rearing techniques followed by taxonomic identification are widely used to obtain such data, but this can be time‐consuming and prone to biases. Here, we present a next‐generation sequencing approach for use in ecological studies which allows for individual‐level metadata tracking of large numbers of invertebrate samples through the use of hierarchically organised molecular identification tags. We demonstrate its utility using a sample data set examining both species identity and levels of parasitism in late larval stages of the oak processionary moth (Thaumetopoea processionea—Linn. 1758), an invasive species recently established in the United Kingdom. Overall, we find that there are two main species exploiting the late larval stages of oak processionary moth in the United Kingdom with the main parasitoid (Carcelia iliaca—Ratzeburg, 1840) parasitising 45.7% of caterpillars, while a rare secondary parasitoid (Compsilura concinnata—Meigen, 1824) was also detected in 0.4% of caterpillars. Using this approach on all life stages of the oak processionary moth may demonstrate additional parasitoid diversity. We discuss the wider potential of nested tagging DNA metabarcoding for constructing large, highly resolved species interaction networks.
Quantitative Systems Pharmacology Analysis of KRAS G12C Covalent Inhibitors

The KRAS oncogene is the most common, activating, oncogenic mutation in human cancer. KRAS has proven difficult to target effectively. Two different strategies have recently been described for covalently targeting the most common activating KRAS mutant in lung cancer, KRAS G12C. Previously, we have developed a computational model of the processes that regulate Ras activation and this model has proven useful for understanding the complex behaviors of Ras signaling. Here, we use this model to perform a computational systems pharmacology analysis of KRAS G12C targeted covalent inhibitors. After updating our model to include Ras protein turnover, we verified the validity of our model for problems in this domain by comparing model behaviors with experimental behaviors. The model naturally reproduces previous experimental data, including several experimental observations that were interpreted as being contrary to conventional wisdom. Overall, this suggests that our model describes the Ras system well, including those areas where conventional wisdom struggles. We then used the model to investigate possible strategies to improve the ability of KRAS G12C inhibitors to inhibit Ras pathway signaling. We identify one, as of yet unexplored mechanism, that, if optimized, could improve the effectiveness of one class of KRAS inhibitor. We also simulated resistance to targeted therapies and found that resistance promoting mutations may reverse which class of KRAS G12C inhibitor inhibits the system better, suggesting that there may be value to pursuing both types of KRAS G12C inhibitors. Overall, this work demonstrates that systems biology approaches can provide insights that inform the drug development process.
Medical Decision Making via the Arithmetic of Generalized Triangular Fuzzy Numbers

Received: October 28, 2017 Revised: December 28, 2017 Accepted: January 30, 2018 Abstract: Background: When patient(s) approach to a medical expert to explain their problems, they often explain their conditions through vague linguistic expression [1]. Medical expert needs to prepare a list of potential symptoms for the particular diseases of the patients based on their vague linguistic statements. Together with the vagueness in medical documents and imprecise information gathered for decision making makes the medical experts’ job more complex. Due to the occurrence of uncertainty in medical decision making exploitation of the Fuzzy Set (FST) is required. Generally in literature, type-I fuzzy set, Intuitionistic Fuzzy Sets (IFSs), Interval Valued Fuzzy Sets (IVFSs), and Picture Fuzzy Sets (PFSs) are extensively applied in medical decision making.
Distinct signal transductions in fast‐ and slow‐ twitch muscles upon denervation

Denervation induces skeletal muscle atrophy, which primarily impairs oxidative slow twitch fibers. The underlying mechanism of this phenomenon, however, remains to be addressed. We hypothesize that denervation‐induced fiber‐specific atrophy may result from the distinct activities of different signaling pathways that are involved in protein synthesis and degradation in fast‐ and slow‐twitch fibers. In this study, 1‐month‐old male mice were subjected to unilateral sciatic denervation for 4 days. Fast‐twitch muscle extensor digitorum longus (EDL) and slow‐twitch muscle soleus were collected from the denervated side and the control side of hind limbs. Total and phosphorylated protein levels of key factors of major signaling pathways in these tissues were determined using western blot assay. Our data showed that total AKT and FoxO3 protein levels were upregulated in denervated muscles as compared with control sides. Phosphorylation of AKT and FoxO3 were proportionally enhanced in denervated EDL but not soleus, indicating AKT activation drives phosphorylation of FoxO3 in EDL but not in soleus upon denervation. As a result, FoxO3‐targeted atrogenes MurF1 and Atrogin1 protein abundances were reduced in denervated EDL but not altered in soleus. In consistent with this change, polyubiquitination were significantly increased in denervated soleus, but only a slight increase in ubiquitination was found in denervated EDL. Autophagy marker LC3 protein level was significantly increased in both muscle types, but in greater extent in EDL after denervation. IRS1 protein level and active ERK were reduced in both muscles upon denervation, which might contribute to the upregulation of total AKT protein level and FoxO3 abundance in EDL and soleus. Total and phosphorylated AMPK protein levels were increased in denervated soleus but not in EDL. Overall, these data reveal that the key signaling pathways that regulate protein synthesis and degradation are more sensitive in soleus than EDL in response to denervation.
Effect of Exercise Duration on Subsequent Appetite and Energy Intake in Obese Adolescent Girls.

There is a growing interest regarding the effect of exercise on appetite and energy intake in youth. While the role of exercise intensity has been a primary focus of study, the effect of exercise duration on subsequent food intake has not been fully examined in obese adolescents. On three separate mornings in a randomly assigned order, obese adolescent girls (n = 20) aged 12-15 years old were asked to perform a rest session (control, CON) or two cycling sessions for 20 (EX20) or 40 min (EX40) set at their ventilatory threshold. Absolute and relative energy intake were measured from an ad libitum lunch meal 30 min after rest or exercise and appetite feelings assessed using visual analogue scales throughout the day. Hunger, satiety, and prospective food consumption were not significantly different between conditions. Absolute energy intake (kcal) did not differ between conditions, while relative energy intake on EX40 (571 ± 381 kcal) was significantly lower than during CON (702 ± 320 kcal; p < .05) and EX20 (736 ± 457 kcal; p < .05). Fat ingestion (in grams) was significantly lower on CON (7.8 ± 3.2 g) compared with EX20 (10.3 ± 4.6 g; p < .01). Protein intake (in grams) was higher on EX20 (37.0 ± 16.6 g) compared with both CON (29.5 ± 11.7 g; p < .01) and EX40 (33.1 ± 10.9 g; p < .05). However, the percentage of total energy derived from each macronutrient was not different between conditions. Obese adolescent girls do not compensate for an acute bout of exercise set at their ventilatory threshold by increasing energy intake, regardless of the exercise duration.
A pilot study on the reproductive risks of maternal exposure to magnetic fields from electronic article surveillance systems

Abstract Purpose: We investigated the feasibility of a large-scale epidemiological study on reproductive effects of intermediate frequency (IF) magnetic field (MF) exposure among cashiers working near electronic article surveillance (EAS) systems. Materials and methods: The study cohort included 4157 women who had worked as cashiers in supermarkets with EAS devices (considered as exposed) or grocery stores without EAS devices (considered as unexposed) between 2008 and 2015. 536 births and 38 miscarriages occurred among these women during the study period, based on information from nationwide health registries. Measurements were also performed to characterize the MF exposure of cashiers. Results: Cashiers were found to be exposed to 8.2 MHz MFs only when passing by the gates at short distance. Static fields of about 0.1 mT were observed at cashier’s seat. Extremely low frequency MFs were higher at stores without EAS devices. No differences on the risk of miscarriage, reduced birth weight or preterm birth were observed between cashiers in different store types. Conclusions: Any further studies should attempt to include study subjects working near EAS systems that produce stronger IF MFs at kHz frequencies. Exposure to ELF MFs should be assessed as a possible confounding factor.
lnjuries in wrestling: systematic review

ABSTRACT Objectives: To identify all studies of injuries in wrestling, assess risk of bias and compute weighted average injury rates. Methods: 17 online databases and nine grey literature resources were searched with no language/date limitations. Abstracts were assessed for inclusion and data abstracted independently by two reviewers. Results: Eleven studies of competitions, 27 databases, four surveys (699 wrestlers) and seventeen case reports (604 cases) were included. Studies provided varying completeness of data. Weighted average injury rates of 16.3/1000AE (AE = Athletic encounter) could be computed for 8/11 studies of competitions and 69.5/1000AE for 5/27 databases. Eleven of the databases focused on specific injuries. Weighted average injury rates by location for 8/11 competition studies and 7/16 databases were similar for the upper extremities (competitions 26%, databases 24%) and torso (15%, 12%), but dissimilar for head/neck (31%, 20%) and lower extremities (24%, 39%). Weighted average injury rates by injury type varied from 6/11 to 2/11 competition studies and 6/16 to 3/16 database studies. Percentages were similar for fractures (6%, 7%), dislocations/subluxations (6%, 6%), ligament tears/cartilage injuries (12%, 17%) and concussions/1000AE (2 competition studies, 1 database) in competitions (25%, 27%) and training (5.7%, 7.1%). Percentages were dissimilar for lacerations/abrasions/contusions (23%, 4%) and sprains/strains (38%, 26%). The differences may be due to the small number of databases providing specific data and the unknown proportion of training injuries. Databases extrapolating injuries to the national US level reported high annual numbers. Conclusions: Average injury rates weighted by sample size are 16.3/1000AE for 8/11 competition studies and 69.5/1000AE for 5/27 databases. Competition data are likely to be accurate because they were observed by physicians, trainers and referees and the completeness and accuracy of database studies vary. Databases which extrapolated data to provide annual national rates estimated large numbers. Few studies provided data about the situations in which injuries occur and the causes of injuries.
Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model

Continuous predictors are routinely encountered when developing a prognostic model. Investigators, who are often non‐statisticians, must decide how to handle continuous predictors in their models. Categorising continuous measurements into two or more categories has been widely discredited, yet is still frequently done because of its simplicity, investigator ignorance of the potential impact and of suitable alternatives, or to facilitate model uptake. We examine three broad approaches for handling continuous predictors on the performance of a prognostic model, including various methods of categorising predictors, modelling a linear relationship between the predictor and outcome and modelling a nonlinear relationship using fractional polynomials or restricted cubic splines. We compare the performance (measured by the c‐index, calibration and net benefit) of prognostic models built using each approach, evaluating them using separate data from that used to build them. We show that categorising continuous predictors produces models with poor predictive performance and poor clinical usefulness. Categorising continuous predictors is unnecessary, biologically implausible and inefficient and should not be used in prognostic model development. © 2016 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd.
AP4 deficiency

Objective To describe the clinico-radiological phenotype of 3 patients harboring a homozygous novel AP4M1 pathogenic mutation. Methods The 3 patients from an inbred family who exhibited early-onset developmental delay, tetraparesis, juvenile motor function deterioration, and intellectual deficiency were investigated by magnetic brain imaging using T1-weighted, T2-weighted, T2*-weighted, fluid-attenuated inversion recovery, susceptibility weighted imaging (SWI) sequences. Whole-exome sequencing was performed on the 3 patients. Results In the 3 patients, brain imaging identified the same pattern of bilateral SWI hyposignal of the globus pallidus, concordant with iron accumulation. A novel homozygous nonsense mutation was identified in AP4M1, segregating with the disease and leading to truncation of half of the adap domain of the protein. Conclusions Our results suggest that AP4M1 represents a new candidate gene that should be considered in the neurodegeneration with brain iron accumulation (NBIA) spectrum of disorders and highlight the intersections between hereditary spastic paraplegia and NBIA clinical presentations.
The modeled and observed response of Lake Spokane hypolimnetic dissolved oxygen concentrations to phosphorus inputs

ABSTRACT Brett MT, Ahopelto SK, Brown HK, Brynestad BE, Butcher TW, Coba EE, Curtis CA, Dara JT, Doeden KB, Evans KR, Fan L, Finley JD, Garguilo NJ, Gebreeyesus SM, Goodman MK, Gray KW, Grinnell C, Gross KL, Hite BRE, Jones AJ, Kenyon PT, Klock AM, Koshy RE, Lawler AM, Lu M, Martinkosky L, Miller-Schulze JR, Nguyen QTN, Runde ER, Stultz JM, Wang S, White FP, Wilson CH, Wong AS, Wu SY, Wurden PG, Young TR, Arhonditsis GB. 2016. The modeled and observed response of Lake Spokane hypolimnetic dissolved oxygen concentrations to phosphorus inputs. Lake Reserv Manage. 32:246–258. Lake Spokane, a reservoir in eastern Washington State, was previously hypereutrophic due to phosphorus discharges from the City of Spokane wastewater treatment plant (WWTP). This reservoir subsequently recovered to a meso-oligotrophic state after implementation of advanced phosphorus removal. The present study tested whether the mechanistic Lake Spokane water quality (WQ) model realistically represents the sensitivity of this reservoir's hypolimnetic oxygen concentrations to phosphorus inputs. We compared the observed relationship between the mean summer input total phosphorus concentration (TPIN) and the minimum volume weighted hypolimnetic dissolved oxygen concentration (DOMIN) to model values for conditions ranging from hypereutrophic to oligotrophic. Prior to advanced phosphorus removal, TPIN and DOMIN averaged 86 ± 37 (SD) µg/L and 1.4 ± 1.3 mg/L, respectively. Currently (2010–2014), these values average 14 ± 3 µg/L and 6.5 ± 0.8 mg/L, respectively. By contrast, the model's DOMIN response for similar TPIN concentrations was much less pronounced, with hypereutrophic and contemporary DOMIN averaging 3.8 ± 0.4 and 4.7 ± 0.04 mg/L, respectively. The model also has a structural DO deficit (saturated DO − DOMIN) of 5.3 mg/L that was evident when all TP inputs to the reservoir were set to zero. Similarly, when all WWTP effluent sources were set to TPEFF = 0 µg/L, the reservoir epilimnetic TP concentrations were ≈8 µg/L higher than the Spokane River inputs. The water quality model indicates that even if effluent phosphorus concentrations are reduced to zero, the dissolved oxygen goals for Lake Spokane cannot be met.
Lateral Thalamic Eminence: A Novel Origin for mGluR1/Lot Cells

&NA; A unique population of cells, called “lot cells,” circumscribes the path of the lateral olfactory tract (LOT) in the rodent brain and acts to restrict its position at the lateral margin of the telencephalon. Lot cells were believed to originate in the dorsal pallium (DP). We show that Lhx2 null mice that lack a DP show a significant increase in the number of mGluR1/lot cells in the piriform cortex, indicating a non‐DP origin of these cells. Since lot cells present common developmental features with Cajal‐Retzius (CR) cells, we analyzed Wnt3a‐ and Dbx1‐reporter mouse lines and found that mGluR1/lot cells are not generated in the cortical hem, ventral pallium, or septum, the best characterized sources of CR cells. Finally, we identified a novel origin for the lot cells by combining in utero electroporation assays and histochemical characterization. We show that mGluR1/lot cells are specifically generated in the lateral thalamic eminence and that they express mitral cell markers, although a minority of them express &Dgr;Np73 instead. We conclude that most mGluR1/lot cells are prospective mitral cells migrating to the accessory olfactory bulb (OB), whereas mGluR1+, &Dgr;Np73+ cells are CR cells that migrate through the LOT to the piriform cortex and the OB.
Parallel Machine Learning Using Concurrency Control

Author(s): Pan, Xinghao | Advisor(s): Jordan, Michael I | Abstract: Many machine learning algorithms iteratively process datapoints and transform global model parameters. It has become increasingly impractical to serially execute such iterative algorithms as processor speeds fail to catch up to the growth in dataset sizes.To address these problems, the machine learning community has turned to two parallelization strategies: bulk synchronous parallel (BSP), and coordination-free. BSP algorithms partition computational work among workers, with occasional synchronization at global barriers, but has only been applied to ‘embarrassingly parallel’ problems where work is trivially factorizable. Coordination-free algorithms simply allow concurrent processors to execute in parallel, interleaving transformations and possibly introducing inconsistencies. Theoretical analysis is then required to prove that the coordination-free algorithm produces a reasonable approximation to the desired outcome, under assumptions on the problem and system.In this dissertation, we propose and explore a third approach by applying concurrency control to manage parallel transformations in machine learning algorithms. We identify points of possible interference between parallel iterations by examining the semantics of the serial algorithm. Coordination is then introduced to either avoid or resolve such conflicts, whereas non-conflicting transformations are allowed to execute concurrently. Our parallel algorithms are thus engineered to produce the same exact output as the serial machine learning algorithm, preserving the serial algorithm’s theoretical guarantees of correctness while maximizing concurrency.We demonstrate the feasibility of our approach to parallelizing a variety of machine learning algorithms, including nonparametric unsupervised learning, graph clustering, discrete optimization, and sparse convex optimization. We theoretically prove and empirically verify that our parallel algorithms produce equivalent output to their serial counterparts. We also theoretically analyze the expected concurrency of our parallel algorithms, and empirically demonstrate their scalability.