Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Donated Premature Milk in the Prevention of Bronchopulmonary Dysplasia

Introduction: Breastfeeding is one of the strategies that has been shown to be effective in preventing severe forms of bronchopulmonary dysplasia (BPD). When mother’s own milk (MOM) is not available, pasteurized donor milk (DM) is the best alternative. However, the evidence is inconclusive on the difference in the incidence of bronchopulmonary dysplasia (BPD) between patients fed MOM and those fed with DM. As standard DM is usually mature pooled milk donated by mothers who have delivered their babies at term, the potential benefits of preterm milk may be lost. Materials and Methods: An observational, retrospective, single-center study was conducted in the neonatology department of a high-complexity hospital. The study included newborns <32 weeks of gestational age born between January 2020 and December 2022. When supplemental milk was needed, non-pooled preterm pasteurized donor milk (PDM) matched for gestational age and moment of lactation was used in this study, classifying preterm infants in two groups: mainly MOM (>50% of the milk) or mainly PDM (>50% of the milk). Two groups were established: those who received >50% MOM and those who received >50% PDM. They were also classified according to the diagnosis of DBP: one group included no BPD or grade 1 BPD (noBPD/1), while the other included grade 2 or 3 BPD (BPD 2–3). The objectives of this study were, firstly, to evaluate the incidence of BPD 2–3 among patients who predominantly received PDM versus MOM. Secondly, to analyze differences in the type of human milk received and its nutritional components, as well as to study the growth in patients with or without BPD. Results: One hundred ninety-nine patients were included in the study. A comparison of noBPD/1 versus BPD 2–3 groups between those receiving mainly MOM versus PDM showed no significant differences (19% vs. 20%, p 0.95). PDM colostrum in BPD 2–3 compared to noBPD/1 was higher in protein content (2.24 g/100 mL (SD 0.37) vs. 2.02 g/100 mL (SD 0.29) p < 0.01), although the statistical significance decreased after adjustment for gestational age and birth weight z-score (OR 3.53 (0.86–14.51)). No differences were found in the macronutrients in the mature milk of patients feeding more than 50% PDM in both study groups. Growth of BPD 2–3 showed a greater decrease in the difference in z-scores for height at birth and at discharge compared to noBPD/1 (−1.64 vs. −0.43, p 0.03). Conclusions: The use of mainly MOM or PDM demonstrates a similar incidence of noBPD/1 or BPD 2–3. Non-pooled and matched by gestational age and time of lactation preterm donor milk can probably be an alternative when mother’s own milk is not available, with a similar protective effect in the prevention of severe BPD.
Three Essays on the Interactions between Agriculture and the Environment

This dissertation consists of three essays studying two aspects of the interactions between agriculture and the environment: agricultural technology adoption and its environmental impacts (in the first essay), and weather shocks and their impacts on rural households in developing countries (in the second and third essays). The first essay proposes a multimarket equilibrium approach to estimating the consumer surplus for environmentally-friendly technologies adopted by farmers. Compared to conventional non-market valuation techniques based on single-market equilibrium, this new method allows for farmers' price feedback effects on consumers' willingness to pay (WTP) for those technologies. Results from an application indicate that consumers are willing to pay a premium for environmentally-friendly technologies adopted by farmers, and that the multimarket equilibrium WTP is smaller in magnitude than its single-market equilibrium counterpart. In the second essay, I develop a unitary agricultural household model to examine the impacts of rainfall variability on migration, off-farm employment and transfers in rural Ethiopia. Empirical results show that the share of out-migrated household members and per capita off-farm labor supply decrease with average rainfall in the main growing iii seasons, and increase with the standard deviation of average rainfall in the five main growing seasons prior to the survey. The level and standard deviation of rainfall are found to have indeterminate effects on the amount of transfers that households receive from the extended family or informal social safety nets. The third essay evaluates the effectiveness of different diversification strategies in smoothing consumption. Results suggest that adverse rainfall shock (below average rainfall) and temperature shock (above average extreme heat degree days) both negatively impact consumption. Receiving public transfers is effective in smoothing consumption against adverse rainfall shock, and participating in off-farm employment is effective against adverse temperature shock. Sending migrants to urban areas and receiving transfers from former household members or informal social safety nets are not effective against any
Fairness and Load Balancing in Wireless LANs Using Association Control

The traffic load of wireless LANs is often unevenly distributed among the access points (APs), which results in unfair bandwidth allocation among users. We argue that the load imbalance and consequent unfair bandwidth allocation can be greatly reduced by intelligent association control. In this paper, we present an efficient solution to determine the user-AP associations for max-min fair bandwidth allocation. We show the strong correlation between fairness and load balancing, which enables us to use load balancing techniques for obtaining optimal max-min fair bandwidth allocation. As this problem is NP-hard, we devise algorithms that achieve constant-factor approximation. In our algorithms, we first compute a fractional association solution, in which users can be associated with multiple APs simultaneously. This solution guarantees the fairest bandwidth allocation in terms of max-min fairness. Then, by utilizing a rounding method, we obtain the integral solution from the fractional solution. We also consider time fairness and present a polynomial-time algorithm for optimal integral solution. We further extend our schemes for the on-line case where users may join and leave dynamically. Our simulations demonstrate that the proposed algorithms achieve close to optimal load balancing (i.e., max-min fairness) and they outperform commonly used heuristics.
Clinical Correlates and Consequences of Anemia in a Broad Spectrum of Patients With Heart Failure: Results of the Candesartan in Heart Failure: Assessment of Reduction in Mortality and Morbidity (CHARM) Program

Background— We wished to determine the prevalence of, potential mechanistic associations of, and clinical outcomes related to anemia in patients with heart failure and a broad spectrum of left ventricular ejection fraction (LVEF). Methods and Results— In multivariable analyses, we examined the associations between hemoglobin and baseline characteristics, laboratory variables, and outcomes in 2653 patients randomized in the CHARM Program in the United States and Canada. Anemia was equally common in patients with preserved (27%) and reduced (25%) LVEF but was more common in black and older patients. Anemia was associated with ethnicity, diabetes, low body mass index, higher systolic and lower diastolic blood pressure, and recent heart failure hospitalization. More than 50% of anemic patients had a glomerular filtration rate <60 mL · min−1 · 1.73 m−2 compared with <30% of nonanemic patients. Despite an inverse relationship between hemoglobin and LVEF, anemia was associated with an increased risk of death and hospitalization, a relationship observed in patients with both reduced and preserved LVEF. There were 133 versus 69 deaths and 527 versus 352 hospitalizations per 1000 patient-years of follow-up in anemic versus nonanemic patients (both P<0.001). The effect of candesartan in reducing outcomes was independent of hemoglobin. Conclusions— Anemia was common in heart failure, regardless of LVEF. Lower hemoglobin was associated with higher LVEF yet was an independent predictor of adverse mortality and morbidity outcomes. In heart failure, the causes of anemia and the associations between anemia and outcomes are probably multiple and complex.
JAsCo: an aspect-oriented approach tailored for component based software development

In this paper we introduce a novel aspect oriented implementation language, called JAsCo. JAsCo is tailored for component based development and the Java Beans component model in particular. The JAsCo language introduces two concepts: aspect beans and connectors. An aspect bean describes behavior that interferes with the execution of a component by using a special kind of inner class, called a hook. The specification of a hook is context independent and therefore reusable. A connector on the other hand, is used for deploying one or more hooks within a specific context. To implement the JAsCo language, we propose a new "aspect-enabled' component model, which contains build-in traps that enable to interfere with the normal execution of a component. The JAsCo component model is backward-compatible with the Java Beans component model. Furthermore, the JAsCo component model allows very flexible aspect application, adaptation and removal at run-time. The necessary tool support for the JAsCo approach has been implemented. In addition, we present a performance assessment of our current implementation.
Mortality Among Hardmetal Production Workers: Swedish Measurement Data and Exposure Assessment

Background: Mortality pattern was determined in a cohort of 16,999 white and blue-collar workers in the Swedish hardmetal industry. Exposure assessment for cobalt is presented. Methods: A historical database (1970 to 2012) of personal and area measurements of cobalt, tungsten, and nickel in the Swedish hardmetal industry was created. Log linear and exponential modeling of cobalt concentrations based on time period, job, and site was performed, and cumulative and mean exposures were calculated. Results: Some 37% of the personal cobalt measurements exceeded 0.02 mg/m3, mostly for powder production, pressing, and shaping. The log linear regression showed statistical differences (P < 0.05) between sites, time periods, and jobs. Some 1.6% of the cobalt cumulative exposures for blue-collar workers exceeded 0.4 mg/m3 years. Conclusion: Low levels of cumulative and mean exposures were determined.
In vitro activities of amphotericin B deoxycholate and liposomal amphotericin B against 604 clinical yeast isolates

We determined the in vitro antifungal activity of liposomal amphotericin B (L-AmB) against 604 clinical yeast isolates. Amphotericin B deoxycholate (D-AmB) was tested in parallel against all the isolates. Susceptibility testing was performed according to the Clinical and Laboratory Standards Institute (CLSI) M27-A3 method. Overall, L-AmB was highly active against the isolates (mean MIC, 0.42 µg ml−1; MIC90, 1 µg ml−1; 97.2 % of MICs were ≤1 µg ml−1) and comparable to D-AmB (mean MIC, 0.48 µg ml−1; MIC90, 1 µg ml−1; 97.3 % of MICs were ≤1 µg ml−1). The in vitro activity of D-AmB and L-AmB was correlated (R2 = 0.61; exp(b), 2.3; 95 % CI, 2.19–2.44, P<0.001). Candida albicans (mean MICs of D-AmB and L-AmB, 0.39 µg ml−1 and 0.31 µg ml−1, respectively) and Candida parapsilosis (mean MICs of D-AmB and L-AmB, 0.38 µg ml−1 and 0.35 µg ml−1, respectively) were the species most susceptible to the agents tested, while Candida krusei (currently named Issatchenkia orientalis) (mean MICs of D-AmB and L-AmB, 1.27 µg ml−1 and 1.13 µg ml−1, respectively) was the least susceptible. The excellent in vitro activity of L-AmB may have important implications for empirical treatment approaches and support its role in treatment of a wide range of invasive infections due to yeasts.
Modeling of a Segmented Electrode for Desynchronizing Deep Brain Stimulation

Deep brain stimulation (DBS) is an effective therapy for medically refractory movement disorders like Parkinson’s disease. The electrodes, implanted in the target area within the human brain, generate an electric field which activates nerve fibers and cell bodies in the vicinity. Even though the different target nuclei display considerable differences in their anatomical structure, only few types of electrodes are currently commercially available. It is desirable to adjust the electric field and in particular the volume of tissue activated around the electrode with respect to the corresponding target nucleus in a such way that side effects can be reduced. Furthermore, a more selective and partial activation of the target structure is desirable for an optimal application of novel stimulation strategies, e.g., coordinated reset neuromodulation. Hence we designed a DBS electrode with a segmented design allowing a more selective activation of the target structure. We created a finite element model (FEM) of the electrode and analyzed the volume of tissue activated for this electrode design. The segmented electrode activated an area in a targeted manner, of which the dimension and position relative to the electrode could be controlled by adjusting the stimulation parameters for each electrode contact. According to our computational analysis, this directed stimulation might be superior with respect to the occurrence of side effects and it enables the application of coordinated reset neuromodulation under optimal conditions.
Subinhibitory Concentrations of Azithromycin Decrease Nontypeable Haemophilus influenzae Biofilm Formation and Diminish Established Biofilms

ABSTRACT Nontypeable Haemophilus influenzae (NTHi) commonly causes otitis media, chronic bronchitis in emphysema, and early airway infections in cystic fibrosis. Long-term, low-dose azithromycin has been shown to improve clinical outcomes in chronic lung diseases, although the mechanism of action remains unclear. The inhibition of bacterial biofilms by azithromycin has been postulated to be one mechanism mediating these effects. We hypothesized that subinhibitory concentrations of azithromycin would affect NTHi biofilm formation. Laboratory strains of NTHi expressing green fluorescent protein and azithromycin-resistant clinical isolates were grown in flow-cell and static-culture biofilm models. Using a range of concentrations of azithromycin and gentamicin, we measured the degree to which these antibiotics inhibited biofilm formation and persistence. Large biofilms formed over 2 to 4 days in a flow cell, displaying complex structures, including towers and channels. Subinhibitory concentrations of azithromycin significantly decreased biomass and maximal thickness in both forming and established NTHi biofilms. In contrast, subinhibitory concentrations of gentamicin had no effect on biofilm formation. Furthermore, established NTHi biofilms became resistant to gentamicin at concentrations far above the MIC. Biofilm formation of highly resistant clinical NTHi isolates (azithromycin MIC of >64 μg/ml) was similarly decreased at subinhibitory azithromycin concentrations. Clinically obtainable azithromycin concentrations inhibited biofilms in all but the most highly resistant isolates. These data show that subinhibitory concentrations of azithromycin have antibiofilm properties, provide mechanistic insights, and supply an additional rationale for the use of azithromycin in chronic biofilm infections involving H. influenzae.
Radar equations in the problem of radio wave backscattering during bistatic soundings

This paper outlines a method for obtaining the relation between the singly scattered signal and the Fourier spectrum of medium dielectric permittivity fluctuations, with regard for the fact that the scattering volume is determined by antenna patterns and is not small. On the basis of this equation we obtained the radar equation relating the scattered signal spectrum to the spatial spectrum of fluctuations. Also, a statistical radar equation is obtained that relates the mean statistical power of the scattered signal to the spectral density of the dielectric permittivity fluctuations without a classical approximation of the smallness of the irregularities' spatial correlation radius. The work deals with the bistatic sounding case, when the exact forward scattering and exact backward scattering are absent and sounding signal has sufficiently narrow spectral band for scattered volume to change slowly on ranges of Fresnel radius order. The statistical radar equations obtained differ from the classical ones in the presence of coherent structures with big correlation radii, and so the received signal spectrum can differ from the intrinsic spectrum of irregularities.
Beyond Contagion: Reality Mining Reveals Complex Patterns of Social Influence

Contagion, a concept from epidemiology, has long been used to characterize social influence on people’s behavior and affective (emotional) states. While it has revealed many useful insights, it is not clear whether the contagion metaphor is sufficient to fully characterize the complex dynamics of psychological states in a social context. Using wearable sensors that capture daily face-to-face interaction, combined with three daily experience sampling surveys, we collected the most comprehensive data set of personality and emotion dynamics of an entire community of work. From this high-resolution data about actual (rather than self-reported) face-to-face interaction, a complex picture emerges where contagion (that can be seen as adaptation of behavioral responses to the behavior of other people) cannot fully capture the dynamics of transitory states. We found that social influence has two opposing effects on states: adaptation effects that go beyond mere contagion, and complementarity effects whereby individuals’ behaviors tend to complement the behaviors of others. Surprisingly, these effects can exhibit completely different directions depending on the stable personality or emotional dispositions (stable traits) of target individuals. Our findings provide a foundation for richer models of social dynamics, and have implications on organizational engineering and workplace well-being.
Reliable Real-time Clinical Monitoring Using Sensor Network Technology

We propose wireless sensor networks composed of nodes using low-power 802.15. 4 radios as an enabling technology for patient monitoring in general hospital wards. A key challenge for such applications is to reliably deliver sensor data from mobile patients. We propose a monitoring system with two types of nodes: patient nodes equipped with wireless pulse oximeters and relays nodes used to route data to a base station. A reliability analysis of data collection from mobile users shows that mobility leads to packet losses exceeding 30%. The majority of packet losses occur between the mobile subjects and the first-hop relays. Based on this insight we developed the Dynamic Relay Association Protocol (DRAP), an effective mechanism for discovering the right relays for patient nodes. DRAP enables highly reliable data collection from mobile subjects. Empirical evaluation showed that DRAP delivered at least 96% of data from multiple users. Our results demonstrate the feasibility of wireless sensor networks for real-time clinical monitoring.
Performance incentives and means: how regulatory focus influences goal attainment.

Study 1 demonstrated that as individuals' promotion-related ideal strength increases, performance on an anagram task is greater for a monetary task incentive framed in terms of gains and nongains (i.e., promotion framed) than one framed in terms of losses and nonlosses (i.e., prevention framed), whereas the reverse is true as individuals' prevention-related ought strength increases. Study 2 further demonstrated that with promotion-framed task incentives, individuals' ideal' strength increases motivation for promotion-related goal attainment means (gaining points), whereas with prevention-framed task incentives, individuals' ought strength increases motivation for prevention-related means (avoiding losing points). These results suggest that motivation and performance are greater when the regulatory focus of task incentives and means match (vs. mismatch) the chronic regulatory focus of the performers.
Explained variation for recurrent event data

Although there are many suggested measures of explained variation for single‐event survival data, there has been little attention to explained variation for recurrent event data. We describe an existing rank‐based measure and we investigate a new statistic based on observed and expected event count processes. Both methods can be used for all models. Adjustments for missing data are proposed and demonstrated through simulation to be effective. We compare the population values of the two statistics and illustrate their use in comparing an array of non‐nested models for data on recurrent episodes of infant diarrhoea.
Wage Gap Estimation with Proxies and Nonresponse

Earnings nonresponse in the Current Population Survey (CPS) is about 30% in the monthly surveys and 20% in the annual March surveys. Half of CPS earnings records rely on “proxy” respondents, among whom nonresponse is particularly high. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on non-match (and some imperfectly matched) imputation attributes. If nonresponse is ignorable (i.e., conditional missing at random), unbiased estimates can be achieved by omitting imputed earners. In this paper, we use selection models and longitudinal analysis to examine whether CPS nonresponse is ignorable and how proxy responses affect reported earnings. Based on reasonable instruments to identify selection, we conclude there is negative selection into response for men and, to a far lesser extent, women. Wage equation slope coefficients are affected little by selection but because of intercept shifts, wages for men and to a lesser extent women are understated, as are gender wage gaps. Longitudinal results reinforce the qualitative conclusion that imputation understates earnings, but gender differences are less clear-cut. Cross-sectional estimates of proxy effects on reported earnings suggest large differences in the effects of spouse and non-spouse proxies. These results are driven by heterogeneity, with panel analysis suggesting that both spouse and non-spouse proxy respondents report about 2% less than do self respondents. For most wage equation analyses, response bias and proxy reports are of second order importance and the simple exclusion of imputed earners provides a reasonable first-order approach.
Ischemia-Reperfusion : The Roles of PI 3-Kinase , Akt , and Endothelial Nitric Oxide Nitric Oxide Mediates the Antiapoptotic Effect of Insulin in Myocardial

Feng Gao, Erhe Gao, Tian-Li Yue, Eliot H. Ohlstein, Bernard L. Lopez, Theodore A. Synthase Phosphorylation Ischemia-Reperfusion : The Roles of PI3-Kinase, Akt, and Endothelial Nitric Oxide Nitric Oxide Mediates the Antiapoptotic Effect of Insulin in Myocardial Print ISSN: 0009-7322. Online ISSN: 1524-4539 Copyright © 2002 American Heart Association, Inc. All rights reserved. is published by the American Heart Association, 7272 Greenville Avenue, Dallas, TX 75231 Circulation doi: 10.1161/01.CIR. 0000012529.00367. 0F 2002;105:1497-1502; originally published online March 4, 2002; Circulation. http://circ.ahajournals. org/content/105/12/1497 World Wide Web at: The online version of this article, along with updated information and services, is located on the