Miracle-dz/UniFAR-FTUs huggingface dataset:
Health Coaching: A Preliminary Report on the Effects in Traumatic Brain Injury/Polytrauma Patients.

Background Failure to adhere to treatment recommendations has significant impact on the health outcomes of the individual and health care systems. Health coaching is a promising care model that has gained interest in the medical field. This study focused on the impact of health coaching on health behaviors that may have direct impact on successful patient outcomes. Primary Study Objective The objective of this study was to assess the impact of health coaching administered through the Polytrauma Integrative Medicine Initiative (PIMI). Methods/Design This study was a quasiexperimental cohort study. Setting This study occurred at a specialized polytrauma rehabilitation center. Participants Participants were divided into 3 cohorts: (1) 33 patients who served through PIMI enrollment, (2) 22 patients who declined PIMI, and (3) a control cohort of 30 random patients who were not referred to PIMI. Patients were primarily male active duty or veteran military personnel. Intervention The intervention consisted of personalized health coaching by trained, certified personnel. Primary Outcome Measures Outcome measures included the following (1) Self-assessment: utilizing the Personal Health Inventory (PHI) at enrollment and at 3 mo; (2) treatment adherence: the percentage of scheduled appointments fulfilled by patients; and (3) post hoc analysis: for no-show and cancellation rates; 2-tailed paired t tests for PHI data and post hoc within groups; 2-tailed independent samples t tests for treatment adherence percentages and post hoc between groups. Results There was no significant difference in treatment adherence rates between the 3 cohorts (all P > .45). PIMI patients had significantly higher cancellation rates than no-show rates for both clinical, 20.8%/5%, and coaching appointments, 17.3%/7.5%, (P < .05). PIMI patients had significantly lower no-show rates, 5%, than control patients, 15.8% (P = .007). PHI data suggest PIMI patients believe they are making improvements in many areas of health coaching focus. Conclusion Low cohort numbers are a concern. There was no difference for treatment adherence rates for health coaching compared with no health coaching. Select variables such as cancellation and no-show appointment rates may better capture the impact of health coaching on patient behavior and clinical resource utilization.
Genetic Algorithms as a Data Discretization Method

Data discretization is the process of converting continuous attributes in an input file into a nominal form by grouping them into discrete partitions and replacing continuous values with the corresponding partition label. This is an important step in the process of machine learning, since it’s easier for classifiers to deal with nominal attributes than it is to deal with continuous attributes. The problem of how best to accomplish this conversion is wellunderstood. Over the years, many different methods of performing discretization have been proposed, explored, and implemented. Here, we present what we believe to be a fresh approach: the use of a genetic algorithm.
The Influence of the Washcoat Deposition Process on High Pore Density Open Cell Foams Activation for CO Catalytic Combustion

Spin coating was evaluated as alternative deposition technique to the commonly used dip coating procedure for washcoat deposition on high-porosity metallic substrates. By using spin coating, the washcoating of metallic open cell foams with very high pore density (i.e., 580 μm in cell diameter) was finely controlled. Catalytic performances of samples prepared with conventional dip coating and spin coating were evaluated in CO catalytic combustion in air, using palladium as active phase and cerium oxide as carrier. The incipient wetness method was used to prepare catalytic powder, which was dispersed by means of an acid-free dispersing medium. After washcoating, deposited layers were evaluated by optical microscopy and adhesion test. In comparison to dip-coated samples, the use of spin coating demonstrated better performances from both catalytic and coating quality points of view, highlighting the possibility of the industrial adoption of these supports for process intensification in several catalytic applications.
Work in Progress: A New Approach to Student Learning of Real-time Biomed- ical Digital Signal Processing

We have revised the labs in our biomedical digital signal processing course to include real-time digital filter implementation using a single board microcontroller. In the past, students only experienced the filter design process in lab using a unique MATLAB program we developed that provides a tool for designing digital filters and visualizing the filter results on a database of presampled electrocardiogram (ECG) signals. After designing the filters and obtaining their coefficients with this program, in the new labs, students then write C/C++ programs to implement the filters on a powerful single-board microcontroller and process ECG signals in real-time. They then analyze the results of their filter implementations using a real-time ECG simulator as well as their own live ECG signals as inputs.
Chinese Named Entity Extraction System Based On Word2vec Under Spark Platform

This paper proposes a real-time system that support the Chinese named entity extractions, which through word2vec algorithm training language mode to obtain word vector, and by calculating the Euclidean distance between word vectors to extract Chinese named entity, and transplant algorithm to Spark platform, using the Spark distributed computing ability improve training efficiency. First the system cut corpus into words with the help of existing word segmentation and get the rough corpus, then trains the rough corpus by word2vec algorithm to obtain word vectors and extracts the first layer of named entity according clustering algorithm, finally, the system uses the Named Entity Extraction(NEE) algorithm to extract the named entities and realize it on the spark platform.
The Origin of the Universal Globular Cluster Mass Function

Abstract Evidence favouring a Gaussian initial mass function for systems of old globular clusters has accumulated over recent years. We show that a bell-shaped mass function may be the imprint of expulsion from protoclusters of the leftover star forming gas due to supernova activity. Owing to the corresponding weakening of its gravitational potential, a protocluster retains a fraction only of its newly formed stars. The mass fraction of bound stars extends from zero to unity depending on the star formation efficiency achieved by the protoglobular cloud. We investigate how such wide variations affect the mapping of the protoglobular cloud mass function to the initial globular cluster mass function. We conclusively demonstrate that the universality of the globular cluster mass function originates from a common protoglobular cloud mass-scale of about 106 M⊙ among galaxies. Moreover, gas removal during star formation in massive gas clouds is highlighted as the likely prime cause of the predominance of field stars in the Galactic Halo.
REDUCING DIFFUSION LIMITATIONS THROUGH RATIONAL DESIGN OF HIERARCHICALLY STRUCTURED CATALYSTS-APPLICATION TO THE ALKYLATION OF BENZENE WITH ETHYLENE

Industrial catalysts often operate in the diffusion limited regime, which reduces overall yields. By structuring the pore network in an optimal, hierarchical fashion, such diffusion limitations can be reduced significantly, resulting in increased yields when compared to conventional nanoporous catalysts. Despite considerable progress in hierarchical synthesis methods and computation, much work remains empirical, and progress on both fronts is rarely merged to enable rational design of the catalyst structure on multiple length scales. We discuss the rational design of hierarchically structured zeolite catalysts, using model driven optimization of the pore network. The alkylation of benzene by ethylene to produce ethylbenzene is chosen as a case study. To test the capability of the mathematical model to qualitatively predict the performance of hierarchically structured zeolites, experiments with meso/macroporous zeolite composites characterized by varying pore network properties and fraction of zeolite crystals are carried out in an isothermal fixed bed reactor. Our results show that model based optimization of the broad pore network can be used to guide the synthesis of porous catalysts with superior overall properties, rather than just optimization at the active-site level.
BIOINFORMATIC TOOLS TO INTERROGATE AND TO MODEL BIOLOGICAL PHENOMENA A TWO-STAGE APPROACH FOR COMBINING GENE EXPRESSION AND MUTATION WITH CLINICAL DATA IMPROVES SURVIVAL PREDICTION IN MYELODYSPLASTIC SYNDROMES AND OVARIAN CANCER

Motivation: Many traditional clinical prognostic factors have been known for cancer for years, but usually provide poor survival prediction. Genomic information is more easily available now which offers opportunities to build more accurate prognostic models. The challenge is how to integrate them to improve survival prediction. The common approach of jointly analyzing all type of covariates directly in one single model may not improve the prediction due to increased model complexity and cannot be easily applied to different datasets. Results: We proposed a two-stage procedure to better combine different sources of information for survival prediction, and applied the two-stage procedure in two cancer datasets: myelodysplastic syndromes (MDS) and ovarian cancer. Our analysis suggests that the prediction performance of different data types are very different, and combining clinical, gene expression and mutation data using the two-stage procedure improves survival prediction in terms of improved concordance index and reduced prediction error. Availability: The two-stage procedure can be implemented in BhGLM package which is freely available at http://www.ssg. uab.edu/bhglm/. Supplementary information: Supplementary data are available at Journal of Bioinformatics and Genomics online.
Birds use of vegetated and non-vegetated high-density buildings—a case study of Milan

Our study provides a first look at the relationship between large-scale buildings incorporating vegetation (Dense and Green) and bird species richness in Milan, and is one of the studies conducted so far to assess this relationship globally. We carried out our survey in and around three Dense and Green and six high-density buildings with no vegetation (Normal Dense). Dense and Green buildings had a higher mean bird species richness (5) than Normal Dense buildings (0.83). We ran an ordinary least squares model with species richness as the dependent variable, building type, the nearby bird species richness and an interaction term between them as explanatory variables. The significant interaction term shows that the number of species on Dense and Green buildings is lower than nearby populations (small buildings, vegetation and other urban areas). This suggests that for this case study Dense and Green buildings may act as stepping-stones within a wider vegetation network, but alone may be too small to provide core habitat for birds.
Improving Employment and Income through Development of Egypt’s Aquaculture Sector (IEIDEAS) project

The Swiss Agency for Development and Cooperation (SDC)-funded Improving Employment and Income through Development of Egyptâ€™s Aquaculture Sector (IEIDEAS) project was implemented by WorldFish in partnership with CARE Egypt and the Egyptian Ministry of Agriculture and Land Reclamation from 2011 to 2014 and later extended to November 2015. The project focused on four governorates with significant aquaculture production (Kafr El Sheikh, Behera, Sharkia and Fayoum) and one governorate (El Mineya), where aquaculture was a new activity. The project was based on a value chain analysis conducted by WorldFish in September 2011 that identified the aquaculture value chain as a significant employer, particularly in rural areas. The analysis suggested that there was scope to increase employment of youth and women in the aquaculture sector The main objective was to increase aquaculture production by 10% and create 10,000 jobs. Other objectives included improving profitability for existing producers, securing employment for women fish retailers, expanding aquaculture in El Mineya and improving the policy environment for aquaculture.
CS224N/Ling 237 Final Programming Project Guidelines

This project is an opportunity for you to work on an NLP system in an area of your choice! The projects will be judged on creativity in defining the problem to be investigated, the methods used, thoroughness in considering and justifying your design decisions, and quality of your write-up, including your testing of the system, error and success analysis, and reporting of results. You will not be penalized if your system performs poorly, providing your initial design decisions weren’t obviously unjustifiable, and you have made reasonable attempts to analyze why it failed, and to examine how the system might be improved. The final project can be a group project. Indeed, we’d strongly encourage you to work as a group, so you can attempt something larger and more interesting. The amount of work should be appropriately scaled to the size of the group (though the expected scaling is sublinear), and you should include a brief statement on the responsibilities of different members of the team. Team members will normally get the same grade, but we reserve the right to differentiate in egregious cases. In general we would like group sizes of 2 or 3 – if you’re considering a bigger group, you must talk to us and convince us that a group of greater than 3 is manageable given the inherent parallelizability of the task, and the time available to organize and implement the system. Solo projects are allowed. You are free (and, where appropriate, encouraged) to make use of existing code and systems as part of your project, but you should make sure their use is properly acknowledged, and make clear what additional value your project is adding.
Achieving safety/risk goals for less ATR backup power upgrades

The Advanced Test Reactor probabilistic risk assessment for internal fire and flood events defined a relatively high risk for a total loss of electric power possibly leading to core damage. Backup power sources were disabled due to fire and flooding in the diesel generator area with propagation of the flooding to a common switchgear room. The ATR risk assessment was employed to define options for relocation of backup power system components to achieve needed risk reduction while minimizing costs. The risk evaluations were performed using sensitivity studies and importance measures. The risk-based evaluations of relocation options for backup power systems saved over $3 million from what might have been otherwise considered {open_quotes}necessary{close_quotes} for safety/risk improvement. The ATR experience shows that the advantages of a good risk assessment are to define risk significance, risk specifics, and risk solutions which enable risk goals to be achieved at the lowest cost.
Do Minimum Wages Increase Job Satisfaction? Micro‐Data Evidence from the New German Minimum Wage

"On 1 January 2015 a new statutory minimum wage of EURO 8.50 per hour of work was introduced in Germany. Using a difference-in-differences approach, we estimate effects on worker-level outcomes of continuing employees. The results reveal a meaningful absolute increase in the affected workers' pay satisfaction. The increase in job satisfaction is modest and predominantly driven by changes in pay satisfaction implying only a small effect on all other dimensions of job satisfaction. Moreover, effects from the minimum wage on work engagement and turnover intention are virtually zero. " (Author's abstract, IAB-Doku) ((en))
RUNNING HEAD : CAUSAL SUPERSEDING 1 Causal Superseding

When agents violate norms, they are typically judged to be more of a cause of resulting outcomes. In this paper, we suggest that norm violations also affect the causality attributed to other agents, a phenomenon we refer to as “causal superseding. ” We propose and test a counterfactual reasoning model of this phenomenon in four experiments. Experiments 1 and 2 provide an initial demonstration of the causal superseding effect and distinguish it from previously studied effects. Experiment 3 shows that this causal superseding effect is dependent on a particular event structure, following a prediction of our counterfactual model. Experiment 4 demonstrates that causal superseding can occur with violation of non-moral norms. We propose a model of the superseding effect based on the idea of counterfactual sufficiency.
Public and parental investments in children. Evidence from the literature on non-parental child care

This paper summarizes the most recent empirical research on parental and social investments in children, with a focus on policies providing non-parental child care. The empirical findings are conceptualized in a simple theoretical framework showing how parents' decisions and policy intervention interact in contributing to child's development. The results from these studies are presented taking into account the institutional context where the policy has been implemented and the timing of the intervention. The majority of large-scale policies providing non- parental child care have positive e ects on children's cognitive outcomes, both in the short and in the medium run. Early childhood policies can have long-lasting effects on adult outcomes, also boosting the development of noncognitive skills, that are used and rewarded in labor market and social life.
Rapid In Vitro Micro Propagation Of Chick Pea (Cicer Arietinum L.) From Shoot Tip And Cotyledonary Node Explants

A rapid, simple and efficient protocol for in vitro multiple shoot induction and plantlet regeneration was achieved from two different explants of Cicer arietinum cv (ICCCR) (kranthi). The explants viz shoot tip and cotyledonary node were cultured on MS medium fortified with Benzyl Adeno Purine (BAP) (0.5-3.0 mg/L) and Kinetin (Kn) (0.5-3.0 mg/L) for multiple shoot induction. Multiple shoots proliferation was best observed at 2.0mg/L BAP from all the two explants within three weeks of culture. Of the two different explants tested, BAP was found to be more effective than Kinetin for shoot multiplication. The highest number of shoots (12.0 ± 0.3) was achieved on MS medium augmented with 2.0 mg/L BAP. The medium supplemented with (2.0 mg/L) BAP better than all other media concentrations in cotyledonary node explants. Individual shoots were aseptically excised and sub cultured in the same media for shoot elongation. The elongated shoots were transferred to Indole Butyric Acid (IBA) (0.5-1.0mg/L) and Indole Acetic Acid (IAA) (0.5-1.0mg/L) for root induction. Rooting was observed within two weeks of culture. MS medium supplemented with (1.0 mg/L) IBA proved better with seventy percent rooting after 25 days of implantation. Most of the roots were long and healthy. Rooted plantlets were successfully hardened under culture conditions and subsequently established in the field conditions. The recorded survival rate of the plants was 76.3%. Plants looked healthy with no visually detectable phenotypic variations.
Fast and Efficient Deployment of Security Defenses Via Context Sensitive Decoding

Modern CPU cores feature translation of instructions into internal instructions, often called micro-ops, for simplified CPU design and improved instruction throughput. However, this translation is static in most known instances. This paper gives an overview of context-sensitive decoding (CSD), a technique that enables customization of the micro-op translation, based on the execution context or particular hardware triggers. This enables rapid deployment of security defenses, enabling changes to the instruction stream without the need for recompilation, translation, or interpretation of the original code. In addition, because the alternate decodings can be turned on and off as quickly as a single cycle, it enables the defense to be strategically deployed only on those instructions that require it, minimizing performance overhead. In this work, CSD is paired with a novel machine-learning based attack detection mechanism, allowing the system to adapt the level of protection in the presence of suspected malicious code. Keywords—security defense; microcode; side channel; attack detection
Expression of neutrophil SOD 2 is reduced after lipopolysaccharide stimulation : a potential cause of neutrophil dysfunction in chronic kidney disease

Background. Neutrophils from patients with chronic kidney disease (CKD) are dysfunctional and thus a contributing factor to the risk of infections. The mechanisms for leucocyte dysfunction in CKD are not fully understood. It is known that lipopolysaccharide (LPS) activates transcription of several genes encoding proinflammatory cytokines. We therefore aimed to study the effect of LPS on neutrophil expression of genes related to the inflammatory response to address the hypothesis that LPS-induced gene transcriptions are altered in CKD patients. Methods. We analysed gene expression of LPS-stimulated neutrophils from 30 patients with CKD and 15 healthy controls. Superoxide dismutase-2 (SOD2), IL1A, IL1R1, IL-1R2 and IL8RA gene expression from both neutrophils and differentiated HL60 cells were measured by quantitative polymerase chain reaction. Differentiated HL60 cells were stimulated with phorbol-12-myristate-7acetate (PMA) after inhibition of SOD2 by small interfering RNA followed by respiratory burst assessment using flow cytometry. Results. LPS stimulation induced a significant mobilization of CD11b on neutrophils from CKD and healthy controls. Upregulation of SOD2, IL1A, IL-1R1 and IL-1R2 gene expression in neutrophils from healthy controls after LPS stimulation was contrasted by no change in gene transcription (IL-1R1 and IL-1R2) or even a downregulation in patients with CKD (SOD2 and IL1A). Inhibition of SOD2 reduced the PMA-induced respiratory burst and IL1A, IL-1R1, IL-1R2 and IL8RA gene expression in neutrophil-differentiated HL60 cells. Conclusions. Because of the critical role of SOD2 in the generation of hydrogen peroxide during phagocytosis, downregulation of SOD2 gene expression after LPS stimulation in neutrophils from patients with CKD indicates a potential mechanism for neutrophil dysfunction and cytokine dysregulation in these patients.
COMPARISON OF A POLYMERASE CHAIN REACTION AND THE KATO-KATZ TECHNIQUE FOR DIAGNOSING INFECTION WITH SCHISTOSOMAMANSONI

Fecal samples from 194 individuals living in an area of Brazil endemic for Schistosoma mansoni were analyzed by a polymerase chain reaction (PCR) and the Kato-Katz parasitologic examination. Statistical analysis of the results showed a kappa index of 0.8 between the two methods. The prevalence of infection was 30.9% in three fecal samples examined by the Kato-Katz method, but 38.1% in one fecal sample examined by the PCR technique. Repeated survey of discordant results showed that five (41.6%) of 12 parasitologically negative cases for which PCR gave positive results were misdiagnosed by Kato-Katz examinations. The PCR technique showed a sensitivity of 96.7% and a specificity of 88% when the parasitologic examination was used as the reference test. The efficacy of cure with praziquantel was 87.8% in three parasitologic stool examinations and 75.6% in one PCR survey. These results demonstrate that the PCR assay might be a valuable alternative for diagnosing Schistosoma infections.