Miracle-dz/UniFAR-FTUs huggingface dataset:
APN telephone follow up to low-income first time mothers.

AIMS AND OBJECTIVES To examine the effects of a low cost advanced practice nurse telephone intervention for 2 months postbirth in low-income first time mothers with healthy full term infants. BACKGROUND Currently women with non-complicated, healthy full term newborn deliveries receive little to no routine postpartum support. This is problematic if mothers are first time mothers, poor, have problems accessing health care, have language barriers and sparse social support. DESIGN A two group randomised clinical trial. This study was conducted in an inner city South Florida county hospital. METHODS A control group (n = 69) received routine hospital discharge care. An intervention group (n = 70) received routine hospital discharge care plus APN follow up telephone calls for week 8 postdischarge. Comparison of outcomes included maternal health (stress, social support, physical health), infant health (routine medical visits, immunisations, weight gain), morbidity (urgent care visits, emergency room visits, re-hospitalisations), and health care charges (urgent care visits, emergency room visits, re-hospitalisations). Data were analysed using descriptive statistics and two-sample t-tests. RESULTS Intervention group mothers had significantly lower perceived stress, significantly greater perceived maternal health and social support; infants had healthier weight gain, fewer emergency room visits; significantly lower total health care charges ($14,333 vs. $70,834) compared to controls. CONCLUSION Study results indicate that APN follow up telephone calls to low-income first time mothers with healthy full term infants is an effective, safe, low cost, easy to apply intervention that improved mothers' and infants' health outcomes and reduced healthcare charges. RELEVANCE TO CLINICAL PRACTICE APNs are uniquely positioned to conduct follow up interventions aimed at providing continuity of care including APN telephone follow up. This is imperative for vulnerable populations especially during times of major budget cuts that affect health care services.
Predictors of joint damage in rheumatoid arthritis *

Rheumatoid arthritis (RA) is the dominant form of destructive chronic arthritis with the potential to cause substantial disability and permanent functional impairment. The final extent and progression rate with time, however, varies markedly. In order to study effects of intervention and to support early aggressive and atoxic therapy in selected cases, predictive disease markers are needed. Recent advances regarding joint tissue composition and pathophysiology have defined a number of biological marker candidates which need to be explored for possible prognostic information. Some markers are characteristic for RA, such as rheumatoid factors and certain autoantibodies, which although they are more prevalent among patients with aggressive disease are not sensitive as predictors in early disease. Genetic susceptibility markers have been claimed to be good predictors of persisting arthritis in early synovitis clinics, but their role as severity markers in established disease is limited. Unspecific markers of inflammation, notably ESR or CRP when persistently elevated, are useful to monitor disease course and newer markers need to document their superiority over these. Another group of markers are attractive because of enriched or exclusive occurrence in joint tissue, and altered metabolism in joint disease. Thus, collagen type III propeptides, hyaluronates, and neopterin originating in the synovium could be useful, and, in particular, hyaluronate levels indeed do provide some predictive information. Highly tissue‐specific cartilage metabolites include aggrecan fragments, collagen II fragments, cartilage oligomeric matrix protein (COMP) and the extraarticular cartilage matrix protein (CMP). When used alone or in combination in early disease some information can be obtained which may in the future facilitate prognostication. Bone metabolism can be monitored and there are different markers for synthesis and resorption. Meanwhile, whilst the new markers are essential research tools, their routine clinical usefulness remains to be proven.
Iterative joint source-channel decoding with combined a priori information of source and channel

A joint source-channel decoding (JSCD) scheme which exploits the combined a priori information of source and channel in an iterative manner is proposed. A sequence minimum mean-square error (SMMSE) estimator based on bit or symbol error transition probability of the channel with memory is proposed and used in the iterative decoding process. Simulation results show that our proposed scheme leads to significant improvement over the scheme without using the a priori information of the source or channel.
Market segmentation and their potential economic impacts in an ecotourism destination

In a heterogeneous tourist market, segmentation is a valuable marketing tool to focus attention on the most advantageous clusters of visitors. In an ecotourism destination, the attractiveness of tourists may be defined by their ecological awareness, but also their (potential) economic impact, since there is a need to balance ecological sustainability and economic viability. This article proposes a model-based latent class analysis of visitors’ preferences and choices in order to identify different demand clusters in the Shiretoko Peninsula, Japan. The method yields four distinct clusters, each differing in motivations, information search and activities undertaken. We also describe how our approach can be used to make informed decisions about management strategies on tourist heterogeneity in order to maximize benefits for the local economy.
A personalized route search method based on joint driving and vehicular behavior recognition

Fuel consumption is an important factor in the route search for vehicular navigations. In this paper, we propose a personalized eco-friendly route search method that considers the driver's driving style, road traffic, geographic information and vehicular parameters. Firstly, we classify the driving styles into three categories (calm, normal and aggressive) by adopting a Learning Vector Quantization (LVQ) neural network with inputs based on 16 characteristics related to vehicle speed, acceleration and engine speed. Secondly, we design a roadway traffic estimation model based on functional similarity and congestion propagation characteristics. Thirdly, we propose a model for fuel consumption estimation (FCE) based on multivariate nonlinear regression to accomplish the eco-friendly route search. To evaluate our route search method, we conducted experiments using real-world vehicle data gathered in the city of Beijing. Our experimental results show that the proposed route search method can achieve a driving-style prediction accuracy of 82.17%, and can reduce the fuel consumption by 16% as compared to the time-priority routes.
Pharmacological inhibition of S6K1 impairs self‐renewal and osteogenic differentiation of bone marrow stromal cells

mTORC1 signaling not only plays important physiological roles in the regulation of proliferation and osteogenic differentiation of BMSCs, but also mediates exogenous Wnt‐induced protein anabolism and osteoblast differentiation. However, the downstream effectors of the mTORC1 signaling in the above processes are still poorly understood. In this study, we explored the specific role of S6K1, one of the major targets of the mTORC1 pathway, in BMSCs self‐renewal and osteogenic differentiation. We first found that S6K1 was active in primary mouse bone marrow stromal cells, and further activated upon osteogenic induction. We then determined the effects of S6K1 inhibition by LY2584702 Tosylate, a selective inhibitor of S6K1 (hereafter S6KI), using both primary mouse bone marrow stromal cells and ST2 cells. Colony‐Forming Unit‐Fibroblast (CFU‐F) assays showed that S6KI dramatically reduced the total number of colonies formed in primary BMSCs cultures. Under the basal osteogenic culture condition, S6KI significantly inhibited mRNA expression of osteoblast marker genes (Sp7, Bglap, Ibsp, and Col1a1), ALP activity and matrix mineralization. Upon Wnt3a treatments, S6KI inhibited Wnt3a‐induced osteoblast differentiation and expression of protein anabolism genes in ST2 cells, but to a much lesser degree than rapamycin (a specific inhibitor of mTORC1 signaling). Collectively, our findings have demonstrated that pharmacological inhibition of S6K1 impaired self‐renewal and osteogenic differentiation of BMSCs, but only partially suppressed exogenous Wnt3a‐induced osteoblast differentiation and protein anabolism.
The importance of leadership in Soldiers' nutritional behaviors: results from the Soldier Fueling Initiative program evaluation.

INTRODUCTION Improving Soldiers' nutritional habits continues to be a concern of the US Army, especially amidst increasing obesity and high injury rates. This study examines leadership influence on nutritional behaviors within the context of the Soldier Fueling Initiative, a program providing nutrition education and improved dining facility menus to Soldiers in Basic Combat Training (BCT) and Advanced Individual Training (AIT). METHODS A mixed methods design using surveys (N=486) and focus groups (N=112) was used to collect data at Fort Jackson, SC, and Fort Eustis, VA, in 2011. RESULTS Survey results showed 75% of Soldiers in BCT believed their drill sergeant was helpful in making performance-enhancing food choices, and 86% agreed their drill sergeant believed it is important to eat for performance. Soldiers in AIT perceived their cadre as less helpful than their BCT drill sergeants and agreed less frequently that the AIT cadre believed it was important to eat for performance (P<.05). These measures of leader influence were significantly associated with nutritional attitudes and behaviors in both BCT and AIT. Focus groups revealed 5 key themes related to cadre influence and nutrition behavior (listed in order of most to least frequent): (1) cadre influence food choices through consequences related to selection, (2) cadre teach Soldiers how to eat, (3) cadre rush Soldiers to eat quickly to return to training, (4) cadre influence choice through example but often do not make healthy choices, and (5) cadre have no influence on food choices. COMMENT Leaders influence most Soldiers' nutrition practices within the training environment, particularly within BCT. Given that leader influence can impact Soldiers' attitudes and behaviors, it is critical that military leaders become knowledgeable about optimal nutrition practices to disseminate appropriate information to their Soldiers, avoid reprimand associated with trainees' food choices, reinforce key messages associated with nutrition programming, and lead by example in their own food choices.
Cell‐mediated immunity predicts the probability of local recruitment in nestling blue tits

We investigated whether the variation in T‐cell‐mediated immune function of blue tit nestlings affected their fledgling success and the probability of local survival. We studied the relationship between immune function and survival under two rearing conditions: control, unmanipulated, and experimentally enlarged broods. Brood enlargement had negative effects on nestling immune response. Immune response was positively related to fledgling success and it predicted the probability of local recruitment. However, the relationship between immune response and the probability of recruitment was significantly positive only among control broods and nonsignificant among enlarged broods. The effect of immune response on the recruitment probability was not affected by variation in body mass. Our study suggests that selection for immune responsiveness seems to be weak or even absent under unfavourable rearing conditions as simulated by brood size enlargement. Therefore, year‐to‐year environmental variation and environmental heterogeneity may constrain evolution towards higher immune responsiveness.
Stability precision dynamic testing system on artillery

Dynamic feature of Weapon equipments is one of important performance index for evaluating the performance of the whole weapon system. The construction of target range in our country in fire control dynamic testing is relatively backward; therefore, it has greatly influenced the evaluation on the fire control system. In order to solve this problem, it's urgent to develop a new testing instrument so as to adjust to the armament research process and promote weapon system working more efficiently and thereby meeting the needs of modernization in national defense. This paper proposes a new measure which is used to test the stability precision of the fire control system, and it is installed on the moving base. Using the method, we develop a testing system which can test the stability precision of the fire control system and achieve a high precision results after testing. The innovation of the system is we can receive the image not only by CCD, but our eyes. It also adopts digital image-forming and image processing technique for real-time measurement and storing of the target information; it simultaneously adopts the method adjusting the platform and the corresponding fixture mounted on a sample to measure the stable precision and the precision of corner of stabilizator. In this paper, we make a description on the construction of the system and the idea of the designing of the optical system. Finally, we introduce the actual application of the system and testing results.
Symmetry-Eliminating Design Space Exploration for Hybrid Application Mapping on Many-Core Architectures

Large scale many-core systems are able to execute concurrently changing mixes of different parallel applications. Hybrid application mapping combines the strengths of design-time exploration/analysis of resource constellations for task-to-core mappings with the flexibility of choosing concrete mappings at run time. However, state-of-the-art design space exploration (DSE) techniques so far ignore the problem of symmetries in modern heterogeneous architectures: not only recurring patterns in the architecture but the mapping of tasks to instances of the same processor type may unnecessarily increase the search space by redundant, symmetrical implementations which typically affects the quality of the DSE. As a remedy, we propose a novel meta-heuristic DSE approach that eliminates architectural symmetries by abstracting the problem to a clustering of tasks and their mapping to processor types. However, we demonstrate that simple task clustering and type mappings may again introduce encoding symmetries in our search space. Thus, we present a formulation of the task clustering and type mapping as a 0–1 integer linear program (ILP) which eliminates all architectural as well as encoding symmetries from the search space. We also contribute a formal feasibility check to ensure that only implementations with at least one feasible concrete mapping are considered. To further improve the search process for feasible solutions, we apply satisfiability modulo theories-like learning techniques: from each infeasible implementation, we extract conditions why the implementation is infeasible and enrich our 0–1 ILP by additional constraints continuously during the DSE. Experimental results show that a DSE equipped with the novel symmetry-eliminating search space and the proposed learning techniques clearly outperforms a state-of-the-art approach known from literature in terms of the quality of the gained implementation classes.
Circadian acetylome reveals regulation of mitochondrial metabolic pathways

The circadian clock is constituted by a complex molecular network that integrates a number of regulatory cues needed to maintain organismal homeostasis. To this effect, posttranslational modifications of clock proteins modulate circadian rhythms and are thought to convert physiological signals into changes in protein regulatory function. To explore reversible lysine acetylation that is dependent on the clock, we have characterized the circadian acetylome in WT and Clock-deficient (Clock−/−) mouse liver by quantitative mass spectrometry. Our analysis revealed that a number of mitochondrial proteins involved in metabolic pathways are heavily influenced by clock-driven acetylation. Pathways such as glycolysis/gluconeogenesis, citric acid cycle, amino acid metabolism, and fatty acid metabolism were found to be highly enriched hits. The significant number of metabolic pathways whose protein acetylation profile is altered in Clock−/− mice prompted us to link the acetylome to the circadian metabolome previously characterized in our laboratory. Changes in enzyme acetylation over the circadian cycle and the link to metabolite levels are discussed, revealing biological implications connecting the circadian clock to cellular metabolic state.
Development of indirect competitive ELISA using egg yolk-derived immunoglobulin (IgY) for the detection of Gentamicin residues

abstract Gentamicin (Gent) is an aminoglycoside antibiotic being used in livestock sector. Gent residues could cause some genetic disorders by nonsense mutations. This study aimed to develop IgY-based ELISA for the detection of Gent in animal products. Gent was conjugated with Bovine serum albumin (BSA) by carbodiimide method for further immunization in the laying chickens. PEG-6000 extraction method was employed to extract IgY from the egg yolk. The titer of anti-Gent-IgY attained the peak of 1:256,000 after the 5th booster immunization. Checkerboard titration confirmed that, anti-Gent IgY in 1:2,000 dilution could give an Optical Density (OD) 1.0 at 2 µg mL−1 of Gent-OVA coating concentration. IgY-based indirect competitive ELISA (Ic-ELISA) showed that, the IC50 value of anti-Gent IgY was 2.69 ng mL−1 and regression curve equation was y = −16.27x + 56.97 (R2 = 0.95, n = 3), confirming that, the detection limit (LOD, IC10 value) was 0.01 ng mL−1. Recoveries from fresh milk, pork and chicken samples were ranged from 69.82% to 94.32%, with relative standard deviation lower than 10.88%. Our results suggested that generated anti-Gent IgY antibodies can be used in routine screening analysis of Gent residues in food samples.
Therapeutic effect of superselective interventional chemotherapyradiotherapy combined treatment on decreasing postoperative residual cell numbers in brain glioma

Objective: To observe and analyse the therapeutic effect of superselective interventional chemotherapyradiotherapy combined treatment on reducing in number or eliminating postoperative residual cells in brain glioma. Methods: Fifty-two patients with brain glioma, which were advised to undergo tumor resection in our hospital from January 2014 to January 2016, were selected and divided into observation (n=28) and control groups (n=24) according to patient preference. The observation group was given superselective interventional chemotherapy-radiotherapy combined treatment, whereas the control group was managed with systematic radiotherapy-chemotherapy treatment. The respective therapeutic effects were then compared between the two groups. Results: The therapeutic effects on the observation group were significantly superior to those on the control group (P 0.05). The prognostic effects were significantly greater in the observation group than in the control group (P<0.05). The Karnofsky grades (71.78 ± 4.83) were significantly higher in the observation group than in the control group (59.93 ± 5.17) (P<0.05). Conclusion: Superselective interventional chemotherapy-radiotherapy combined treatment can effectively reduce and eliminate postoperative residual cells and produce a favorable prognostic effect in patients with brain glioma.
Critiquing the Tertiary Education Commission's Role in New Zealand's Tertiary Education System: Policy, Practice and Panopticism

This paper uses Bentham's panopticon, as proposed by Foucault (1977), as a metaphorical representation of the role of the Tertiary Education Commission (TEC) established in New Zealand in 2003, and considers its likely impact in the tertiary education sector. The argument conceptualises a process of 'managerial panopticism' to suggest that the reforms initiated by the 1999 Labour/Alliance Coalition Government, and imposed upon New Zealand's tertiary education sector by the TEC, employ techniques of coercion that provide individuals with a sense of opportunism when and if they comply. Furthermore, this sense of opportunism is actually an illusion used by the government to stifle any possible resistance to the reform process. We propose that if academics want to access opportunities for a career that provides secure employment, a regular income and continued scholarly esteem, they are more likely to comply with, rather than oppose, the policies administered by the Tertiary Education Commission.
Influence of Energy Deposition on Characteristics of Nanopowders Synthesized by Electrical Explosion of Aluminum Wire in the Argon Gas

The energy deposition during the wire electrical explosion process plays an important role in the expansion of metallic vapor and conductive plasma for the nanopowders preparation. In this paper, aluminum nanopowders are synthesized by electrical exploding aluminum wire in the argon gas under different charging voltages of the capacitor. The influence of the deposited energy E and the argon gas pressure p on the characteristics of aluminum nanopowders is studied by the transmission electron microscope (TEM). Due to the effect of argon gas pressure on the energy deposition, a plasma expansion parameter Ep-1 is proposed to summarize the synthesis conditions. The results show that the morphology of aluminum nanopowders was mainly dependent on the argon gas pressure rather than deposited energy. Lower deposited energy and higher pressure of argon gas could broaden the particle size distribution range of aluminum nanopowders evidently, which is ascribed to a smaller plasma expansion volume. The count mean diameter of aluminum nanopowders decreases monotonically with the increasing plasma expansion parameter Ep-1. The value of relative standard deviation ranges from 0.38 to 0.5 in the experiments. It has been demonstrated that the size uniformity of nanoparticles can be improved by reducing the energy deposition rate when the pressure of argon gas and deposited energy remains virtually unchanged.
Coagulation Studies in Argentine Hemorrhagic Fever

33 patients with Argentine hemorrhagic fever (AHF) grouped into mild (18 cases), moderate (9 cases) and severe (5 cases) clinical forms were studied from day 6th to day 22nd after the onset of Symptoms. The evolution profile of the coagulation factors wns similftr in all AHF patients regardless of the clinical form. PTTK was prolonged in the early stages ( 78.0 ± 5.8 see on day 6th and 47.5 ± 1.9 sec on day 14th). However, the values of F VIII, F IX and F XI ranged in the lower normal limits. Quick time, factors II and VII-X remained within the normal range. In contrast F V activity was greatly enhanced ( 257.5 ± 54.7% on day 10th). Congulation alterations tended to normalize after 14 days of evolution. Fibrinogen profiles differed in the three clinical forma. In the moderate and severe AHF groups fibrinogen increased to a mean of 532 ± 30.3 and 472 ± 40.9 mg% on day 12th of evolution. No fibrin monomers nor fibrinogen degradation products were detected. The clotting system abnormalities were observed cnincidentally to the described alterations of the complement system. The present results indicate that if activation took place there was no evidence of thrombin formation.