Miracle-dz/UniFAR-FTUs huggingface dataset:
Nursing home report card and performance gap

Background: With the aging of our society, concerns about the quality of nursing homes have been increasing. The Nursing Home Compare (NHC) report card is believed to reduce information asymmetry between the facility and potential residents and, consequently, improve nursing home quality. However, there is limited evidence about how nursing homes use this publicly disseminated performance information. Purpose: The aim of this study was to analyze the performance gap between nursing home administrators’ self-assessment and the NHC report card performance ratings and explore the factors contributing to the gap. Methodology: All 515 Medicare- and Medicaid-certified nursing homes in Indiana were surveyed between August and December 2013. The response rate was approximately 45%. The survey data were compared with the NHC data to identify the gap. Ordered logistic regression analysis was conducted. Findings: Despite voluntary participation, a reasonably high response rate, and anonymity, this study found that 62% of respondents either under- or overrated their facilities’ performance, with the majority overrating their performance. The following factors were associated with a smaller performance gap: nonprofit or government-owned status, higher staffing levels, a higher percentage of hours worked by registered nurses, and a higher market concentration. Longer work experience and greater county occupancy rates were associated with a larger performance gap. Practice Implications: The significant gap implies that administrators either do not regularly review the NHC report card or do not concur with the NHC ratings. To reduce the gap and thereby improve performance, it is necessary to stabilize the administrators’ position so that administrators know how they stand in the market and are consequently better equipped to successfully respond to the market. Facilities may also need to provide regular training on current technologies and facilitate use of the NHC report card, targeting administrators who are old and have many years of work experience.
Serum cholesterol and Suicide in first episode psychosis: A preliminary study

Background: Low levels of cholesterol have been described in suicide behavior including among those individuals who have an increased tendency for impulsivity. Violent suicide attempters show significantly lower cholesterol levels than nonviolent suicide attempters. The suicide rate is particularly high in the prodromal and early phase of schizophrenia. It is unclear if there is a psychopathological relationship between early psychosis, suicide, and cholesterol levels. The present study examines levels of cholesterol and suicide behavior in a cohort of early psychosis. Methodology: Sixty admitted patients with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, diagnosis of nonaffective schizophrenia spectrum disorder (early psychosis) were assessed in a naturalistic cross-sectional, cohort study. Psychopathology was assessed with the Positive and Negative Symptom Scale for Schizophrenia (PANSS), Hamilton Depression Rating Scale, and Scale for Impact of Suicidality–Management, Assessment and Planning of Care (SIS-MAP). Serum levels of cholesterol were estimated in the cohort as well. The findings were analyzed for a clinical correlation of cholesterol levels, suicidal attempters, and psychopathology. Results: Out of 60 patients, 13 patients had a suicide attempt in the recent past. No serum cholesterol abnormality (3.7 ± 1.2 mmol/L) was observed in patients as a group and those with low suicidality (SIS-MAP <17, serum cholesterol: 4.1 ± 1.3 mmol/L). However, low levels of cholesterol were observed in a subgroup with severe suicidality (SIS-MAP >33; serum cholesterol: 3.5 ± 1.4 mmol/L). Females with moderate suicidality showed statistically significant lower cholesterol levels than males (P = 0.047). Conclusions: The study suggests lower levels of cholesterol in patients of psychosis with severe suicidal thoughts and depression in early psychosis. More research is required in this field to determine the neurochemistry of suicide behavior in psychosis and its significance in the prediction of suicidal behavior.
Short-term effects of ozone air pollution on hospital admissions for myocardial infarction: A time-stratified case-crossover study in Taipei

ABSTRACT This study was undertaken to determine whether there was a correlation between ambient ozone (O3) levels and number of hospital admissions for myocardial infarction (MI) in Taipei, Taiwan. Hospital admissions for MI and ambient air pollution data for Taipei were obtained for the period from 2006 to 2010. The relative risk (RR) of hospital admissions for MI was estimated using a time-stratified case-crossover approach, controlling for weather variables, day of the week, seasonality, and long-term time trends. For the single-pollutant model (without adjustment for other pollutants), increased RR for a number of MI admissions was significantly associated with higher O3 levels both on warm days (>23°C) and on cool days (<23°C). This observation was accompanied by an interquartile range elevation correlated with a 7% (95% CI = 2%–12%) and 17% (95% CI = 11%–25%) rise in number of MI admissions, respectively. In the two-pollutant models, no significant associations between ambient O3 concentrations and number of MI admissions were observed on warm days. However, on cool days, correlation between ambient O3 after inclusion of each of the other five pollutants, particulate matter (PM10 or PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2) or carbon monoxide (CO), and number of MI admissions remained significant. This study provides evidence that higher levels of ambient O3 increase the RR of number of hospital admissions for MI.
Clinico-epidemiological study of tinea incognito with microbiological correlation

Background: Tinea incognito is a dermatophytic infection with a clinical presentation that is modified due to previous treatment with topical or systemic steroids, as well as topical immunomodulators. It tends to mimic other dermatological conditions. Aims: To evaluate the various clinical manifestations, sites, predisposing factors and causative agents of tinea incognito. Methods: A prospective observational study was done on one hundred clinically suspected cases of tinea incognito, with a history of topical or systemic steroid use for a period of at least six weeks. They were subject to direct microscopy and fungal culture, and re-evaluated at the end of the third and sixth week. Results: Eczema-like conditions were the most common clinical manifestation, followed by inflammatory, autoimmune and infective conditions. The face was the most commonly affected site. Direct microscopy was positive in 85% of cases, and fungal culture was positive in 63% of cases. Trichophyton rubrum was the most common species isolated. Pharmacists were responsible for 78% of tinea incognito cases, and betamethasone dipropionate was the most common drug used. Limitations: As this was a hospital outpatient-based study, cases with severe systemic problems could have attended other departments. Cases involving the hair and nails were negligible. Conclusions: Tinea incognito is a commonly encountered, yet poorly reported entity in the study population. An increased level of awareness and vigilance on the sale of steroid containing compounds will help control this dermatological condition.
Diversity in root growth responses to moisture deficit in young faba bean (Vicia faba L.) plants

Background Soil moisture deficiency causes yield reduction and instability in faba bean (Vicia faba L.) production. The extent of sensitivity to drought stress varies across accessions originating from diverse moisture regimes of the world. Hence, we conducted successive greenhouse experiments in pots and rhizotrons to explore diversity in root responses to soil water deficit. Methods A set of 89 accessions from wet and dry growing regions of the world was defined according to the Focused Identification of Germplasm Strategy and screened in a perlite-sand medium under well watered conditions in a greenhouse experiment. Stomatal conductance, canopy temperature, chlorophyll concentration, and root and shoot dry weights were recorded during the fifth week of growth. Eight accessions representing the range of responses were selected for further investigation. Starting five days after germination, they were subjected to a root phenotyping experiment using the automated phenotyping platform GROWSCREEN-Rhizo. The rhizotrons were filled with peat-soil under well watered and water limited conditions. Root architectural traits were recorded five, 12, and 19 days after the treatment (DAT) began. Results In the germplasm survey, accessions from dry regions showed significantly higher values of chlorophyll concentration, shoot and root dry weights than those from wet regions. Root and shoot dry weight as well as seed weight, and chlorophyll concentration were positively correlated with each other. Accession DS70622 combined higher values of root and shoot dry weight than the rest. The experiment in GROWSCREEN-Rhizo showed large differences in root response to water deficit. The accession by treatment interactions in taproot and second order lateral root lengths were significant at 12 and 19 DAT, and the taproot length was reduced up to 57% by drought. The longest and deepest root systems under both treatment conditions were recorded by DS70622 and DS11320, and total root length of DS70622 was three times longer than that of WS99501, the shortest rooted accession. The maximum horizontal distribution of a root system and root surface coverage were positively correlated with taproot and total root lengths and root system depth. DS70622 and WS99501 combined maximum and minimum values of these traits, respectively. Thus, roots of DS70622 and DS11320, from dry regions, showed drought-avoidance characteristics whereas those of WS99501 and Mèlodie/2, from wet regions, showed the opposite. Discussion The combination of the germplasm survey and use of GROWSCREEN-Rhizo allowed exploring of adaptive traits and detection of root phenotypic markers for potential drought avoidance. The greater root system depth and root surface coverage, exemplified by DS70622 and DS11320, can now be tested as new sources of drought tolerance.
A NEW COMBINED DISTRIBUTION AND PRETREATMENT UNIT FOR WASTEWATER SOIL INFILTRATION SYSTEMS

Glacial till, often with poor hydraulic conductivity or a topography that limits the use of traditional wastewater soil infiltration systems (WSIS), is the dominant soil type in Norway. A newly developed combined distribution and pretreatment unit overcomes some of the soil limitations and extends the use of WSIS. The new system, which may be used in any soil type, allows easy access to the infiltrative surface and is thus superior to traditional gravel filled trenches regarding monitoring and maintenance of WSIS. The new system is based on high head pumping of septic tank effluent to one or several units filled with lightweight clay aggregates (LWA). Each unit is directly connected to the pump by a small diameter pipe, and one small pump can serve several units. The wastewater is dosed through a single tangential/fullconical (TF)-nozzle that distributes the water evenly over the 2.3m 2 surface of the pretreatment filter. The filter medium can easily be replaced, and the nozzle can be refitted by hand. The wastewater is distributed to the different units using a hydrosplitter, or for larger or more advanced systems, using solenoid valves controlled by a timer or a programmable logic controller (PLC). The use of a PLC makes individual loading rates and dosing frequencies possible. It is also possible to adjust the loading to soil moisture conditions or groundwater levels beneath or adjacent to the unit. The even distribution assures good utilization of the LWA filter media, and a significant reduction in BOD, SS, number of coliforms as well as nitrification is achieved. Higher soil acceptance rates for wastewater are therfore possible.
Distributed Representations of Tuples for Entity Resolution

Despite the efforts in 70+ years in all aspects of entity resolution (ER), there is still a high demand for democratizing ER - by reducing the heavy human involvement in labeling data, performing feature engineering, tuning parameters, and defining blocking functions. With the recent advances in deep learning, in particular distributed representations of words ( a.k.a . word embeddings), we present a novel ER system, called D eep ER, that achieves good accuracy, high efficiency, as well as ease-of-use ( i.e ., much less human efforts). We use sophisticated composition methods, namely uni- and bi-directional recurrent neural networks (RNNs) with long short term memory (LSTM) hidden units, to convert each tuple to a distributed representation ( i.e ., a vector), which can in turn be used to effectively capture similarities between tuples. We consider both the case where pre-trained word embeddings are available as well the case where they are not; we present ways to learn and tune the distributed representations that are customized for a specific ER task under different scenarios. We propose a locality sensitive hashing (LSH) based blocking approach that takes all attributes of a tuple into consideration and produces much smaller blocks, compared with traditional methods that consider only a few attributes. We evaluate our algorithms on multiple datasets (including benchmarks, biomedical data, as well as multi-lingual data) and the extensive experimental results show that D eep ER outperforms existing solutions.
Signalling pathways identified in salivary glands from primary Sjögren’s syndrome patients reveal enhanced adipose tissue development

Abstract A characteristic feature of primary Sjögren’s syndrome (pSS) is the destruction of salivary and lacrimal glands mediated by mononuclear cell infiltration. Adipocytes can also occupy a large portion of the salivary gland (SG) tissue area, although little is known about their significance in pSS. We have previously investigated adipose tissue infiltration in SG biopsies from pSS patients and non-SS sicca controls. Our findings indicated the distinct incidence of adipose tissue replacement in pSS patients, where adipocytes were detected in interleukin (IL) 6 rich regions. We now aimed to examine the development of adipocytes in the SG microenvironment, and delineate their possible involvement in immune reactions. A microarray analysis was performed on SG from 6 pSS patients and 6 non-SS controls, where the expression levels of genes involved in adipose tissue development, inflammatory responses, and lymphoma development were assessed. Real-time PCR was carried out on SG from 14 pSS patients and 15 non-SS controls to account for IL6, IL10, and IL17 mRNA levels. Immunohistochemical staining of frozen SG tissue using IL17 was also conducted. Our results indicate signalling pathways identified in SG of pSS patients displayed genes leading to prominent adipose tissue development and reduced mitochondrial fatty acid beta-oxidation (ARID5B, OXCT1, BDH1, SOX8, HMGCS2, FTO, ECHS1, PCCA, ACADL and ACADVL), inflammatory responses (IL1R1, IL7R, IL10RA, IL15, IL18RAP, CCL2, CCL5, CCL22, CXCR6, CD14, and CD48), and lymphoma development via JAK-STAT signalling (STAT2, TYK2, EBI3, FAS, TNFRSF1B, MAP3K8, HMOX1, LTB, TNF, STAT1, and BAK1). Genes involved in interferon production and signalling were also detected (IRF1, IRF9, and IRF7), in addition to IL6, IL10, and IL17. Higher mRNA levels of IL6, IL17 and IL10 were observed in the SG of pSS patients compared to controls. Moreover, IL17 positive cells were detected mostly interstitially in the SG and around adipocytes, also within the focal infiltrates. In conclusion, adipocyte development seems to be more prominent in the SG of pSS patients, where adipose tissue replacement is also evident. Whether this is due to disease progression, or the repair process, remains to be investigated. Detection of IL17 positive adipocytes in the target organ suggests their involvement in immune reactions.
Nonambiguous SAR Image Formation of Maritime Targets Using Weighted Sparse Approach

For a single-channel synthetic aperture radar (SAR), finite-pulse repetition frequency and nonideal antenna pattern cause azimuth ambiguities, i.e., ghosts in image domain. In this paper, a novel algorithm of locating processing weighted group lasso SAR image formation for maritime targets is proposed to effectively mitigate the ambiguities, which can work on a single-look complex SAR image. In the scheme, the ambiguous signal model using the conventional SAR focusing processor is first explicitly derived, showing the analytical expression of SAR image formulation. The weighted sparse group lasso algorithm is then employed to group-sparsely reconstruct the subimages of nonambiguous and ambiguous Doppler components. In particular, we introduce adaptively weighted sparsity constraint, obtained from a priori azimuth antenna pattern, and clutter clustering during sparse imaging. It should be emphasized that the proposed algorithm can effectively improve the azimuth resolution by coherently integrating the ambiguous signal components, which greatly helps the target detection and recognition in maritime surveillance. Finally, experiments based on simulated and measured data are performed to confirm the effectiveness of the proposed algorithm.
Prion protein β2–α2 loop conformational landscape

Significance β2–α2 loop conformational polymorphism in cellular prion proteins (PrPC) has a key role in the development of prion diseases. Using state of the art enhanced simulation methods, we design its conformational landscape and calculate its static and dynamic properties. We also show that in combination with NMR data, these simulation methods can provide a detailed atomistic picture of the β2–α2 loop dynamics. In transmissible spongiform encephalopathies (TSEs), which are lethal neurodegenerative diseases that affect humans and a wide range of other mammalian species, the normal “cellular” prion protein (PrPC) is transformed into amyloid aggregates representing the “scrapie form” of the protein (PrPSc). Continued research on this system is of keen interest, since new information on the physiological function of PrPC in healthy organisms is emerging, as well as new data on the mechanism of the transformation of PrPC to PrPSc. In this paper we used two different approaches: a combination of the well-tempered ensemble (WTE) and parallel tempering (PT) schemes and metadynamics (MetaD) to characterize the conformational free-energy surface of PrPC. The focus of the data analysis was on an 11-residue polypeptide segment in mouse PrPC(121–231) that includes the β2–α2 loop of residues 167–170, for which a correlation between structure and susceptibility to prion disease has previously been described. This study includes wild-type mouse PrPC and a variant with the single-residue replacement Y169A. The resulting detailed conformational landscapes complement in an integrative manner the available experimental data on PrPC, providing quantitative insights into the nature of the structural transition-related function of the β2–α2 loop.
Consequentialist conditional cooperation in social dilemmas with imperfect information

Social dilemmas, where mutual cooperation can lead to high payoffs but participants face incentives to cheat, are ubiquitous in multi-agent interaction. We wish to construct agents that cooperate with pure cooperators, avoid exploitation by pure defectors, and incentivize cooperation from the rest. However, often the actions taken by a partner are (partially) unobserved or the consequences of individual actions are hard to predict. We show that in a large class of games good strategies can be constructed by conditioning one's behavior solely on outcomes (ie. one's past rewards). We call this consequentialist conditional cooperation. We show how to construct such strategies using deep reinforcement learning techniques and demonstrate, both analytically and experimentally, that they are effective in social dilemmas beyond simple matrix games. We also show the limitations of relying purely on consequences and discuss the need for understanding both the consequences of and the intentions behind an action.
Acute Stroke Imaging Research Roadmap III Imaging Selection and Outcomes in Acute Stroke Reperfusion Clinical Trials: Consensus Recommendations and Further Research Priorities

Background and Purpose— The Stroke Imaging Research (STIR) group, the Imaging Working Group of StrokeNet, the American Society of Neuroradiology, and the Foundation of the American Society of Neuroradiology sponsored an imaging session and workshop during the Stroke Treatment Academy Industry Roundtable (STAIR) IX on October 5 to 6, 2015 in Washington, DC. The purpose of this roadmap was to focus on the role of imaging in future research and clinical trials. Methods— This forum brought together stroke neurologists, neuroradiologists, neuroimaging research scientists, members of the National Institute of Neurological Disorders and Stroke (NINDS), industry representatives, and members of the US Food and Drug Administration to discuss STIR priorities in the light of an unprecedented series of positive acute stroke endovascular therapy clinical trials. Results— The imaging session summarized and compared the imaging components of the recent positive endovascular trials and proposed opportunities for pooled analyses. The imaging workshop developed consensus recommendations for optimal imaging methods for the acquisition and analysis of core, mismatch, and collaterals across multiple modalities, and also a standardized approach for measuring the final infarct volume in prospective clinical trials. Conclusions— Recent positive acute stroke endovascular clinical trials have demonstrated the added value of neurovascular imaging. The optimal imaging profile for endovascular treatment includes large vessel occlusion, smaller core, good collaterals, and large penumbra. However, equivalent definitions for the imaging profile parameters across modalities are needed, and a standardization effort is warranted, potentially leveraging the pooled data resulting from the recent positive endovascular trials.
Uncertainty in counting ice nucleating particles with continuous flow diffusion chambers

Abstract. This study investigates the measurement of ice nucleating particle (INP) concentrations and sizing of crystals using continuous flow diffusion chambers (CFDCs). CFDCs have been deployed for decades to measure the formation of INPs under controlled humidity and temperature conditions in laboratory studies and by ambient aerosol populations. These measurements have, in turn, been used to construct parameterizations for use in models by relating the formation of ice crystals to state variables such as temperature and humidity as well as aerosol particle properties such as composition and number. We show here that assumptions of ideal instrument behavior are not supported by measurements made with a commercially available CFDC, the SPectrometer for Ice Nucleation (SPIN), and the instrument on which it is based, the Zurich Ice Nucleation Chamber (ZINC). Non-ideal instrument behavior, which is likely inherent to varying degrees in all CFDCs, is caused by exposure of particles to different humidities and/or temperatures than predicated from instrument theory of operation. This can result in a systematic, and variable, underestimation of reported INP concentrations. We find here variable correction factors from 1.5 to 9.5, consistent with previous literature values. We use a machine learning approach to show that non-ideality is most likely due to small-scale flow features where the aerosols are combined with sheath flows. Machine learning is also used to minimize the uncertainty in measured INP concentrations. We suggest that detailed measurement, on an instrument-by-instrument basis, be performed to characterize this uncertainty.