Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning about delirium in a simulated clinical environment : an interprofessional learning intervention for final year medical and nursing students

This research reports on findings from an interprofessional teaching and learning (IPL) activity delivered to 211 final year medical and nursing students using a simulated patient with delirium in a simulated clinical environment. The aims of the study were to develop, trial and evaluate an interprofessional learning approach and compare this with a uniprofessional learning (UPL) approach. Students’ knowledge and perceptions of the learning experience were evaluated for both groups. The objectives of the study were to identify whether an interprofessional approach: • increased students’ knowledge of, and confidence in, managing patients with delirium; • developed students’ appreciation of each other’s roles in the management of delirium; • developed students knowledge of, and confidence in performing interprofessional collaborative practice skills. An additional objective was to determine whether a modified Readiness for Interprofessional Learning Scale (M-RIPLS) was a valid and reliable instrument to use in the pre-registration setting, in an Australian context. To address these objectives a Delirium Knowledge Test, an Interprofessional Learning Rating Scale and the M-RIPLS were used. Post-test questionnaires determined the perceptions of the students about the intervention. Individual interviews were used to further explore students’ perceptions of the experience. Four Sub-scales emerged from the Factor Analysis of the M-RIPLS instrument: “Teamwork & Collaboration”; “Patient Centredness”; “Roles & Responsibilities”; and, “Professional Freedom”. The scale was consistent with other iterations of both the original and modified version of the tool. Results indicated that the interprofessional education approach used in this cohort: • Increased students’ knowledge of delirium; • Increased students’ ratings of how IPL influences effective interprofessional collaborative practice (ICP); • Improved nursing and medical students’ knowledge and appreciation of each other’s roles; • Developed attitudes of appreciation, trust and respect amongst the students of the two professions; and, • Increased students’ confidence and perceptions of their personal development in interprofessional collaborative competencies, such as the ability to work in teams, to collaborate, to communicate interprofessionally and to work towards making the patient the centre of health care delivery. This study also revealed that a blended learning approach incorporating the use of simulation was the most effective way to deliver IPL and to develop ICP competencies.
Interrogation of Chromosome 13q12-14 in Esophageal Squamous Cell Carcinoma

Previous studies of esophageal squamous cell carcinoma (ESCC) suggested chromosome region 13q12-14 harbors a familial ESCC gene. DNA sequencing of the BRCA2 gene, located on 13q12, showed evidence of both germline and tumor specific alterations but the frequency of changes was low and did not fit the classic Knudsen two-hit gene inactivation model. To further investigate chromosome 13q12-14 in ESCC, quantitative expression measurements were performed on BRCA2 and 11 neighboring genes in matched normal epithelium and tumor from 17 cases. Transcript analysis showed normal levels of five genes, tumor down-regulation of two genes (TNFRS19 and TPT1), and tumor up- regulation of five genes, including BRCA2. No evidence of BRCA2 loss-of-function was detected based on reduced mRNA in tumor cells. Between 13q12.3 (KATNAL1) and 13q12.3-q13 (CCNA1) five adjacent genes showed increased mRNA expression raising the possibility of a DNA amplicon; however, qPCR analysis showed normal DNA amounts in this region. CCNA1 transcript was significantly up-regulated in tumors and was thus further interrogated at the protein level by immunohistochemistry. CCNA1 staining was restricted to normal basal epithelium and was not expressed in more superficial, differentiated regions. In contrast, the CCNA1 protein was ubiquitously and highly expressed throughout tumor foci. Overall, these data from a relatively small number of cases (17) suggest that TNFRS19 and TPT1 deserve further investigation as candidate tumor suppressor genes in esophageal cancer in a larger patient series; BRCA2 mRNA is increased in the tumors, likely as a compensatory response to the marked DNA damage that is present in these lesions; and, CCNA1 was identified as a novel up-regulated gene in ESCC.
A Survey of Task Allocation: Contrastive Perspectives From Wireless Sensor Networks and Mobile Crowdsensing

Wireless sensor networks (WSNs) and mobile crowdsensing (MCS) are two important paradigms in urban dynamic sensing. In both sensing paradigms, task allocation is a significant problem, which may affect the completion quality of sensing tasks. In this paper, we give a survey of task allocation in WSNs and MCS from the contrastive perspectives in terms of data quality and sensing cost, which help to better understand related objectives and strategies. We first analyze the different characteristics of two sensing paradigms, which may lead to difference in task allocation issues or strategies. Then, we present some common issues in task allocation with objectives in data quality and sensing cost. Furthermore, we provide reviews of unique task allocation issues in MCS according to its new characteristics. Finally, we identify some potential opportunities for the future research.
Description of a New Species of the Genus Staphylococcus: Staphylococcus carnosus

From dry sausage, a new species, Staphylococcus carnosus, has been isolated and described. The new species is established primarily on the basis of its deoxyribonucleic acid-deoxyribonucleic acid hybridization relationships, its biochemical reactions, and its cell wall composition. The type strain of this species is DSM 20501.
Revealing candidate genes of lung adenocarcinoma by bioinformatics analysis

Lung adenocarcinoma (AC) is the most common form of non-small cell lung cancer. We used the microarray data to construct a regulation network to identify potential genes that related to lung adenocarcinoma. In the network, some of transcription factors and target genes have been proved that are related to lung adenocarcinoma in previous study. We also find some new transcription factors and target genes related to AC; beside, JUN combine with FOS to response to lung adenocarcinoma. It is demonstrated that transcriptome network analysis is useful in identification of the candidate genes in lung adenocarcinoma. Key words: Lung adenocarcinoma, transcription factors, pathway.
A high-performance local energy trading cyber-physical system based on blockchain technology

The traditional electricity markets are facing challenges in integrating the distributed generation extensively. However, the local energy markets have the potential to support the local integration of DG and facilitate the local balance of energy supply and demand. The operation and management of local energy markets require support from the efficient and reliable information technology. Blockchain technology has the potential to be used in local energy trading, but it is difficult to support frequent trades among the rising number of market participants, due to the basic design principle of the technology. Therefore, we present the off-chain energy trading method and an asynchronous transaction recording mechanism to ensure the efficiency of energy trading procedures. To support off-chain energy trading, we design a local energy trading cyber-physical system. The overview of the local energy market and the framework of the blockchain-based local energy trading system are illustrated respectively.
The Ecology of the Caucasian Salamander (Mertensiella caucasica Waga) in a Local Population

-The different aspects of ecology of Mertensiella caucasica Waga, 1876 were investigated in a local population from Borjomi Canyon (central Georgia) for five years (1985-1990). The aspects of the species' life cycle were more precisely determined. The main fecundity is about 16.9 eggs per female. There are about 2 years in a period from egg deposition (June to first half of July) to the end of metamorphosis in nature. Animals have spent most of the time in shelters after metamorphosis. They appear on the ground surface at night during the breeding period. Commonly the adults don't retreat to a great distance from population localities. Localities are situated in comparatively small plots (100-300m) along the streams. Estimation of adult animal number showed that the population consists of 1189 specimens (1989). Annual adult survival is higher than known values of most amphibians (approaches 0.77). Larval survival is 0.27-0.32 in the second year of life. The characteristics of demography (especially, low renewal rates) and spatial restriction in localities depends mostly on subUe constitution of the species (which is a result of allometric growth specifics). The small recent geographical range of M. caucasica is explained as a result of morphological and ecological peculiarities. General morphological constitution limits adaptive possibilities of any particular representative of die European salamander tribe. This is an explanation of quite high ecological similarity of M. caucasica and Chioglossa lusitanica.
A fire history from tree rings in a high-elevation forest of Rocky Mountain National Park

Historical fire patterns in a subalpine forest of Rocky Mountain National Park were quantified from an analysis of forest stand ages and fire-scarred trees. A comparatively detailed sample of 3461 tree cores and 212 fire scars was collected from a 9200-ha study area north of Estes Park, Colorado. A total of 41 fire events were identified in the record. Annually precise fire dates, beginning in 1533, include 22 high-severity crown fires, 7 low-severity surface fires, and 8 mixed-severity events with both surface and crown fire components. Fire rotation was estimated for both surface fires (7587 years) and crown fires (346 years). Fire rotation did not appear to vary with fuel characteristics associated with topographical differences in the study area. Fires larger than 300 ha were few, but they determined a large proportion of the area burned since 1700 and were significantly correlated with a reconstructed index of summer drought. Low fire activity in the 20th century was associated with decreased severit.
Optimization-Based, Simplified Stereo Visual-Inertial Odometry With High-Accuracy Initialization

This paper proposes a robust and highly efficient feature-based visual-inertial odometry (VIO) approach. In order to save the computational resource, a simplified stereo visual model is applied to reduce the dimension of visual measurements. Moreover, the speed of feature matching is improved by using prior information from the inertial sensor. And through the marginalization, optimization is limited in two sliding windows, which can meet the need for the real-time application. In addition, a high accuracy initialization method and the homogeneous extraction of image features are introduced to ensure excellent pose tracking. The proposed VIO system is implemented on open datasets to show its merit compared with other state-of-the-art algorithms. In addition, we also perform this system on a low-cost stereo visual-inertial sensor and validate its practicability and superiority. Furthermore, the comparative experiment shows that the proposed algorithm has a higher accuracy than the monocular VIO and a shorter running time than the stereo VIO.
Formation of Ybus Martix By Using Direct Inspection

Power flow analysis is the backbone of power system analysis and design. They are necessary for planning, operation, economic scheduling and exchange of power between utilities. The principal information of power flow analysis is to find the magnitude and phase angle of voltage at each bus and the real and reactive power flowing in each transmission lines. Power flow analysis is an importance tool involving numerical analysis applied to a power system. In this analysis a general and procedural algorithm forY matrix building is proposed in this paper. We know that the procedure for obtaining Y bus or Z bus matrices in any frame of reference. Requires matrix transformation involving inversion and multiplications. It Could Be Very Laborious and time consuming process for large system involving hundreds of nodes or buses. Such an algorithm would be very convenient for various large system that may needed while the system is in operation such as addition of line, removal of lines and change in parameters. The bus impendence matrix can be directly found by using building algorithm and analysis of large no of bus system can be done easily.As compared to other methods of Ybus formation Direct inspection method is convenient we have mention algorithm to calculate Ybus by taking a casestudy of 440kv Talandge, India substation of 12 bus by using tool MATLAB R2010a,version 7.10. 0.499 by this method calculation is easy and required less time as compared to hand calculation Hand calculationis time consuming as the no buses increases.
Diet choice and capture success of wild dog ( Lycaon pictus ) in Hluhluwe-Umfolozi Park, South Africa

The small population of wild dog Lycaon pictus (n= 3 to 30) in Hluhluwe-Umfolozi Park (HUP) has declined since 1992. The survival of dogs in HUP is dependent on the reintroduction of more dogs; however, wild dog reintroduction programmes are fraught with problems and many have failed. In this paper the diet and capture success of the wild dog pack in the Hluhluwe Section, and the influence of dietary considerations on the success of the future reintroduction of wild dogs in this reserve, are investigated. Diet choice was determined from scat analysis, personal observation and field staff records. Eight ungulate prey species were identified from scat analysis: nyala Tragelaphus angasi and impala Aepyceros melampus were the most abundant ungulate species in HUP and accounted for 77% of the diet. On the whole, wild dogs included prey types in the diet consistent with a rate-maximizing foraging approach, although some prey were clearly taken opportunistically. The dogs preyed mostly on small- (> 25 kg) to medium-sized (40–90 kg) prey, while the young of large (< 90 kg) prey species or scavenged carcasses supplemented the diet during the dry season. Adult nyala were taken more frequently than other age classes, but wild dog preyed on juvenile impala more than expected. Female prey were taken more frequently than males but selection did not differ from prey population sex ratios. Prey capture success was similar to that of previous studies from both open and densely wooded habitats and the wild dogs successfully caught 48% of all prey species pursued. Results suggest that wild dogs are quite capable of adapting both their diet choice and foraging technique to the dense vegetation in HUP. We conclude that prey type, prey availability and habitat constraints on prey capture success, will not affect the reintroduction of more wild dogs into HUP.
Approximate Multiplier for Low Power Applications

Imprecise computing is best suited for error resilient applications, such as signal processing and multimedia. Imprecise computing provides meaningful and faster results with lower power consumption; that is particularly attractive for arithmetic circuits. In this paper, a new design is proposed to exploit the partitions of partial products using recursive multiplication by compressor-based approximate multipliers. Three multiplier designs are proposed using 4:2 approximate compressors. Extensive simulation results show that the proposed design achieve significant accuracy improvement together with power and area reduction compared to previous approximate multiplier designs. The first two mutiplier design uses first approximate compressor. The proposed multiplier design (1) is simulated and synthesized in xilinx software with less accuracy, less power and area compared with existing multipliers. The proposed multiplier design (2) is also simulated and synthesized in Xinlix software with high accuracy at the cost of more area and power than the proposed design (1). The proposed multiplier design (3) uses second approximate compressor. It is simulated and synthesized using Xilinx software. It uses less area and power compared to design (1) and design (2). Keywords—Approximate computing, compressor, multiplier
Use of Silver Nitrate for the Assessment of Sperm Measurements in Selected Farm and Free-Living Animal Species

Abstract The study was conducted on spermatozoa of selected farm and free-living animal species, isolated post mortem from the tail of the epididymis, and stained with silver nitrate - AgNO3. The material was collected from pigs, goats, wild boar, and European roe deer. Twenty morphologically normal spermatozoa randomly selected from each animal and well visible under the microscope, were analysed. The following measurements were considered: head length, width, perimeter and area, acrosome area, mid-piece length, tail length, and overall sperm length. AgNO3 staining differentiated the acrosomal (light hue) and distal (dark hue) part of the sperm head, and a light-hued mid-piece was visible within the sperm tail. Silver nitrate staining revealed species and variety-related differences, particularly in reference to the sperm head. Clear-cut differentiation within the head and tail area made it possible to perform detailed morphometric measurements of the spermatozoa.
Intrinsic determinants of a population trend in timing of breeding in the wandering albatross

Numerous studies of wild animal species have documented that population level responses to environmental change are underpinned by individual level phenotypic plasticity. However, where the relationship between an individual trait and a climate variable occurs when both show a trend over time, phenotypic plasticity may be confounded by ageing. We investigated between and within individual change in laying date in the wandering albatross Diomedea exulans, a longlived species experiencing a dramatic decline in population size. Laying date has advanced over the last three decades. A mean-centering analysis demonstrated that this pattern was driven by within-individual changes as opposed to appearance or disappearance of phenotypes. Furthermore, a lack of between individual effect suggested the change resulted from ageing as opposed to phenotypic plasticity. Females varied significantly in rate of advance, such that those with low past reproductive rates exhibited a negative temporal trend in laying date, whereas birds with moderate to high past reproductive performance showed little change. The population trend was therefore driven by a subset with low past breeding success. An analysis of effects of timing of breeding on breeding success revealed stabilizing selection for relative laying date. Furthermore, current breeding success was positively related to past success rate, which suggests that there may be indirect selection against plasticity in this population. Our results show that population trends can arise from individual level change unrelated to prevailing environmental conditions, thus demonstrating the importance of longitudinal analyses in the interpretation of climate change effects.
Behavioral ontogeny in humpback whale (Megaptera novaeangliae) calves during their residence in Hawaiian waters

The ontogeny of behavior in young offspring is a key component of a species life history, influencing short-term survival and life-long future fitness. In this study, we examine the behavioral ontogeny of humpback whale calves during their natal season on the winter breeding grounds. Behavioral data were collected during focal follows for 69 calves. Their relative age was estimated based on the degree of unfurling of the dorsal fin, and analysis of their time budgets revealed that behavior changed as the calves matured. Among the youngest group of calves (n = 27), persistent travel accounted for median 85% (interquartile range 34%) of the calves’ time budget, they spent little time alone at the surface and the breathing regime included frequent intermittent breaths. Within the oldest group of calves (n = 26), time spent traveling dropped to a median 47% (IQR 42%) of the time budget, they spent more time at rest, surfaced alone more frequently, and the breathing regime more closely resembled that of adult humpbacks. We suggest potential functions for these and other components of calf behavior during this period, and review our findings in light of recent discussions on the role of predation pressure as a driving force in mysticete migration.
A Data-Driven Approach for Optimal Control Parameters in WWTP: the VEAS Experience in Scandinavia

VEAS is the largest WWTP in Norway, where inflow is collected through a combined sewer system, i.e., storm water runoff is combined in a common conduit with wastewater from homes, businesses, and industry and delivered to the plant. From a process perspective this already high degree of variability is further compounded by return flows from the plant itself. The VEAS plant is fully located in cavern and is operated 24/7. Cavern location requires low footprint and consequently high surface load. The VEAS process features a “single-shot” sedimentation and has a record-low water retention time of 3 hours. This highly efficient configuration is sensitive to variation in the inflow water parameters and internal plant recirculation flows, 25 measured parameters have been identified as impacting the effectiveness of the sedimentation process. Due to the high non-linearity of the parameters influence, even extensive use of classic non-linear statistical analysis has failed to clearly identify the main performance drivers of the process. In this paper we investigate the use of Kernel-based and Neural methods for the learning of the optimal control parameters in the context of industrial plants. The main objective is to define an automatic way to identify and tune the most relevant parameters of the plant (e.g., dosage of chemicals, sump level setting) to minimize the final water turbidity. The adopted machine learning framework enables the automatic analysis of the evolution of the plant behavior over time, i.e. exploits sensors readings stored for a long time period (one year), to develop a predictive model of the future behavior of the system.
Phytoextraction and Accumulation of Boron and Selenium by Poplar (Populus) Hybrid Clones

ABSTRACT There has been much interest recently in central California for reusing drainage water to grow trees. A sand-culture study was conducted to investigate the accumulation of boron (B) and selenium (Se) in eight hybrid poplar (Populus) clones irrigated with synthetic agricultural effluent containing increasing levels of chloride salt, B, and Se. Electrical conductivity (EC) ranged from 1.5 to 15 dS m-1, B levels from 1 to 5 mg L-1, and Se levels from 100 to 500 μg L-1. Compared with all tree organs, the leaves accumulated the greatest concentrations of B and Se at the time of harvest. The results show that pooled leaf B concentrations were positively correlated with EC levels (r = 0.78, P < 0.001) and negatively correlated (r = -0.53, P < 0.001) with leaf dry matter for all clones at all tested B levels. Combined leaf and stem Se data show, respectively, a significant decrease (P < 0.05 level) in tissue accumulation of Se with increased salinity. Toxicity symptoms (e.g., burning leaf margins, shoot .
Enhanced transduction of dendritic cells by FcγRI‐targeted adenovirus vectors

The high affinity Fcγ receptor I (FcγRI; aka CD64) is expressed by dendritic cells (DC) and antigens targeted to this receptor elicit enhanced immune responses. This study was designed to test the hypothesis that targeting an adenoviral (Ad) vector to FcγRI would lead to enhanced transduction of DC and an improved immune response to vector‐encoded antigens.