Miracle-dz/UniFAR-FTUs huggingface dataset:
On Receiver Design for Uplink Low Density Signature OFDM (LDS-OFDM)

Low density signature orthogonal frequency division multiplexing (LDS-OFDM) is an uplink multi-carrier multiple access scheme that uses low density signatures (LDS) for spreading the symbols in the frequency domain. In this paper, we introduce an effective receiver for the LDS-OFDM scheme. We propose a framework to analyze and design this iterative receiver using extrinsic information transfer (EXIT) charts. Furthermore, a turbo multi-user detector/decoder (MUDD) is proposed for the LDS-OFDM receiver. We show how the turbo MUDD is tuned using EXIT charts analysis. By tuning the turbo-style processing, the turbo MUDD can approach the performance of optimum MUDD with a smaller number of inner iterations. Using the suggested design guidelines in this paper, we show that the proposed structure brings about 2.3 dB performance improvement at a bit error rate (BER) equal to 10-5 over conventional LDS-OFDM while keeping the complexity affordable. Simulations for different scenarios also show that the LDS-OFDM outperforms similar well-known multiple access techniques such as multi-carrier code division multiple access (MC-CDMA) and group-orthogonal MC-CDMA.
Feelings of Burden in Palliative Care

Background: Care for palliative care patients is often provided by unpaid caregivers (eg, family members) who take care of the patient’s daily needs (eg, bathing, dressing). Family members of palliative care patients are involved in numerous ways. These tasks and responsibilities can make them feel burdened and even overburdened. Aim: We specifically looked at patients’ medical records to determine what is being reported about burden and overburden and who seems to be mostly affected. Burden was understood as a weight or task that is difficult to accept or carry, whereas overburden indicates that this weight or task cannot be carried anymore. Methods: We looked at 300 medical records of palliative care patients written by health-care professionals. Written notes were analyzed using latent content analysis as it helps to analyze large amounts of textual data qualitatively and to understand the underlying concepts of what was said. Results: Most (73.5%) patients had a cancer diagnosis. Mean age was 67.6 years (range, 22-98 years). Burden and overburden were identified as main categories and further divided into the following subcategories: for patients and families. According to the written notes, patients often felt burdened by their disease, financial problems, situation at home, and families’ reactions to their disease. By and large, patients felt overburdened by their own disease. Families often felt burdened because of issues related to patients’ medical condition, providing home care, or financial and social aspects. Families mentioned home care and the decision-making process as being overburdening. Conclusion: Findings in the palliative care patients’ medical records are inasmuch important, as they point at the health-care staff’s awareness of possible weights and tasks that might be burdensome for patients and their families. Attention should be drawn to the documentation of medical records in order to identify recurrent difficulties and to help discuss these.
The influence of dietary phosphorus level on laying hen performance, egg shell quality, and various blood parameters.

The influence of dietary phosphorus on hen performance and egg shell quality was investigated. Total dietary phosphorus levels of . 17, . 23, . 30, . 40, . 50, . 70, 1.50, and 2.30% were fed to four body weight groups of 23-week-old White Leghorn hens. Hens consuming the diets containing . 17, . 23, and . 30% phosphorus, all from plant origin, consumed significantly (P less than or equal to .05) less feed, which resulted in poorer performance than hens fed diets supplemented with inorganic phosphorus. Addition of supplemental inorganic phosphorus at levels of . 10 to . 40% resulted in the best overall hen performance. Plasma phosphorus was directly related to dietary phosphorus level. Egg shell quality as measured by specific gravity was inversely related to dietary phosphorus levels above . 50%.
Sulfur amino acid and methyl donor status of corn-soy diets fed to starting broiler chicks and turkey poults.

Experiments were conducted to determine the effects of supplementing corn-soy-bean meal-white grease diets with sulfur amino acids and methyl group donors for starting broiler-strain chicks. The diets (23% protein and 3200 kcal ME/kg) were fed to quadruplicate lots of chicks in battery brooders. The diets were calculated to contain . 37% methionine, . 37% cystine, and 1499 mg/kg choline. Chemical and microbiological assays yielded values of . 32% and . 42% for methionine and cystine content respectively. Results of 5 chick experiments showed that supplementing this diet with . 23% DL-methionine significantly (P less than .05) improved 3 week-gain (375 vs. 415 g) and feed/gain (1.54 vs. 1.47) over that obtained with the basal diet. When L-cystine and 2(CaSO4). H2O failed to give a significant (P greater than .05) response, compounds capable of donating methyl groups were fed. Significant (P less than .05) responses in gain (404 and 420) and feed/gain (1.48 and 1.51) over the basal were obtained with choline and betaine. These responses were not significantly (P greater than .05) different from that obtained with methionine. Serine and sodium formate failed to give consistent responses. Using a poult diet of 28% protein and 2800 kcal ME/kg, a significant (P less than .05) response to DL-methionine was again observed, with intermediate responses to betaine, choline, and serine. It is concluded that (within the limits of the experimental model) corn-soy type diets contain an adequate amount of total sulfur amino acid for chicks, but not poults, when sufficient choline or betaine are provided.
Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing

We investigate the possibility of leveraging side information for improving quality control over crowd-sourced data. We extend the GLAD model, which governs the probability of correct labeling through a logistic function in which worker expertise counteracts item difficulty, by systematically encod- ing different types of side information, including worker in- formation drawn from demographics and personality traits, item information drawn from item genres and content, and contextual information drawn from worker responses and la- beling sessions. Modeling side information allows for better estimation of worker expertise and item difficulty in sparse data situations and accounts for worker biases, leading to bet- ter prediction of posterior true label probabilities. We demon- strate the efficacy of the proposed framework with overall improvements in both the true label prediction and the un- seen worker response prediction based on different combina- tions of the various types of side information across three new crowd-sourcing datasets. In addition, we show the framework exhibits potential of identifying salient side information fea- tures for predicting the correctness of responses without the need of knowing any true label information.
Real-time Prediction of Intermediate-Horizon Automotive Collision Risk

Advanced collision avoidance and driver hand-off systems can benefit from the ability to accurately predict, in real time, the probability a vehicle will be involved in a collision within an intermediate horizon of 10 to 20 seconds. The rarity of collisions in real-world data poses a significant challenge to developing this capability because, as we demonstrate empirically, intermediate-horizon risk prediction depends heavily on high-dimensional driver behavioral features. As a result, a large amount of data is required to fit an effective predictive model. In this paper, we assess whether simulated data can help alleviate this issue. Focusing on highway driving, we present a three-step approach for generating data and fitting a predictive model capable of real-time prediction. First, high-risk automotive scenes are generated using importance sampling on a learned Bayesian network scene model. Second, collision risk is estimated through Monte Carlo simulation. Third, a neural network domain adaptation model is trained on real and simulated data to address discrepancies between the two domains. Experiments indicate that simulated data can mitigate issues resulting from collision rarity, thereby improving risk prediction in real-world data.
A Multikinase and DNA-PK Inhibitor Combination Immunomodulates Melanomas, Suppresses Tumor Progression, and Enhances Immunotherapies

Regorafenib and NU7441 are targeted therapies that immunomodulated a heterogeneous panel of melanomas. The compounds favorably altered T-cell phenotype and function, and cooperated with existing immunotherapies to suppress melanoma progression in a murine tumor model. Combination therapies have the potential to improve outcomes in melanoma patients but have not yet been clinically efficacious. Here, we used high-throughput flow cytometry-based screening to identify and characterize candidate therapies that might synergize with and augment T-cell immunotherapy efficacy. Two lead therapies, regorafenib (Reg) and NU7441, were selected based on their ability to alter a variety of immunomodulatory proteins, including CD55, CD73, CD155, programmed death-ligand 1 (PD-L1), nerve growth factor receptor (NGFR), and HLA class I in a heterogeneous panel of melanomas. The therapies also upregulated several melanoma antigens, inhibited proliferation, and perturbed activation of oncogenic signaling pathways in melanomas. T cells treated with the therapies proliferated normally and exhibited a favorably altered phenotype, including increased CD25, CD28, inducible T-cell costimulator (ICOS), and reduced expression of coinhibitory receptors. Cytokine production was also increased in treated T cells. When administered in mice, REg suppressed melanoma progression in a CD8+ T cell–dependent manner when used alone and with various immunotherapies. Additionally, Reg altered the number, phenotype, and function of various T-cell subsets in the tumor microenvironment. These studies reveal that Reg and NU7441 influence the immunobiology of both tumor cells and T cells and enhance the efficacy of various immunotherapies. Cancer Immunol Res; 5(9); 790–803. ©2017 AACR.
Multiseed liposomal drug delivery system using micelle gradient as driving force to improve amphiphilic drug retention and its anti-tumor efficacy

Abstract To improve drug retention in carriers for amphiphilic asulacrine (ASL), a novel active loading method using micelle gradient was developed to fabricate the ASL-loaded multiseed liposomes (ASL-ML). The empty ML were prepared by hydrating a thin film with empty micelles. Then the micelles in liposomal compartment acting as ‘micelle pool’ drove the drug to be loaded after the outer micelles were removed. Some reasoning studies including critical micelle concentration (CMC) determination, influencing factors tests on entrapment efficiency (EE), structure visualization, and drug release were carried out to explore the mechanism of active loading, ASL location, and the structure of ASL-ML. Comparisons were made between pre-loading and active loading method. Finally, the extended drug retention capacity of ML was evaluated through pharmacokinetic, drug tissue irritancy, and in vivo anti-tumor activity studies. Comprehensive results from fluorescent and transmission electron microscope (TEM) observation, encapsulation efficiency (EE) comparison, and release studies demonstrated the formation of ML-shell structure for ASL-ML without inter-carrier fusion. The location of drug mainly in inner micelles as well as the superiority of post-loading to the pre-loading method , in which drug in micelles shifted onto the bilayer membrane was an additional positive of this delivery system. It was observed that the drug amphiphilicity and interaction of micelles with drug were the two prerequisites for this active loading method. The extended retention capacity of ML has been verified through the prolonged half-life, reduced paw-lick responses in rats, and enhanced tumor inhibition in model mice. In conclusion, ASL-ML prepared by active loading method can effectively load drug into micelles with expected structure and improve drug retention.
DC analysis and design of a PWM buck converter operated as a dynamic power supply

Modern energy transmission and signal reproduction techniques rely upon power amplifiers that must operate with high efficiency. An increasingly popular technique for addressing this problem involves replacing the fixed power amplifier supply voltage VDD with a controlled, variable voltage provided by a dynamic power supply. Although pulse‐width modulated dc‐dc buck converters typically function as fixed‐output supplies, this paper provides new theoretical dc analysis for operation wherein the output voltage is controlled and continuously variable over a wide range. A design procedure for the variable‐output buck converter is derived. Key device parameters affecting converter speed and efficiency are identified. The dc analysis and design procedure are verified experimentally, with calculated and measured parameters shown to be in good agreement. Copyright © 2016 John Wiley & Sons, Ltd.
Improving Quality of Crowdsourced Labels via Probabilistic Matrix Factorization

Quality assurance in crowdsourced annotation often involves having a given example labeled multiple times by different workers, then aggregating these labels. Unfortunately, the worker-example label matrix is typically sparse and imbalanced for two reasons: 1) the average crowd worker judges few examples; and 2) few labels are typically collected per example to reduce cost. To address this missing data problem, we propose use of probabilistic matrix factorization (PMF), a standard approach in collaborative filtering. To evaluate our approach, we measure accuracy of consensus labels computed from the input sparse matrix vs. the PMF-inferred complete matrix. We consider both unsupervised and supervised settings. In the supervised case, we evaluate both weighted voting and worker selection. Experiments are performed on both a synthetic data set and a real data set: crowd relevance judgments taken from the 2010 NIST TREC Relevance Feedback Track.
The ectonucleotidases CD39 and CD73: Novel checkpoint inhibitor targets

Cancers are able to grow by subverting immune suppressive pathways, to prevent the malignant cells as being recognized as dangerous or foreign. This mechanism prevents the cancer from being eliminated by the immune system and allows disease to progress from a very early stage to a lethal state. Immunotherapies are newly developing interventions that modify the patient's immune system to fight cancer, by either directly stimulating rejection‐type processes or blocking suppressive pathways. Extracellular adenosine generated by the ectonucleotidases CD39 and CD73 is a newly recognized “immune checkpoint mediator” that interferes with anti‐tumor immune responses. In this review, we focus on CD39 and CD73 ectoenzymes and encompass aspects of the biochemistry of these molecules as well as detailing the distribution and function on immune cells. Effects of CD39 and CD73 inhibition in preclinical and clinical studies are discussed. Finally, we provide insights into potential clinical application of adenosinergic and other purinergic‐targeting therapies and forecast how these might develop in combination with other anti‐cancer modalities.
Pathways to false‐positive diagnoses using molecular genetic detection methods; Phytophthora cinnamomi a case study

Abstract Phytophthora cinnamomi is one of the world's most invasive plant pathogens affecting ornamental plants, horticultural crops and natural ecosystems. Accurate diagnosis is very important to determine the presence or absence of this pathogen in diseased and asymptomatic plants. In previous studies, P. cinnamomi species‐specific primers were designed and tested using various polymerase chain reaction (PCR) techniques including conventional PCR, nested PCR and quantitative real‐time PCR. In all cases, the primers were stated to be highly specific and sensitive to P. cinnamomi. However, few of these studies tested their primers against closely related Phytophthora species (Phytophthora clade 7). In this study, we tested these purported P. cinnamomi‐specific primer sets against 11 other species from clade 7 and determined their specificity; of the eight tested primer sets only three were specific to P. cinnamomi. This study demonstrated the importance of testing primers against closely related species within the same clade, and not just other species within the same genus. The findings of this study are relevant to all species‐specific microbial diagnosis.
PFRES: protein fold classification by using evolutionary information and predicted secondary structure

MOTIVATION The number of protein families has been estimated to be as small as 1000. Recent study shows that the growth in discovery of novel structures that are deposited into PDB and the related rate of increase of SCOP categories are slowing down. This indicates that the protein structure space will be soon covered and thus we may be able to derive most of remaining structures by using the known folding patterns. Present tertiary structure prediction methods behave well when a homologous structure is predicted, but give poorer results when no homologous templates are available. At the same time, some proteins that share twilight-zone sequence identity can form similar folds. Therefore, determination of structural similarity without sequence similarity would be beneficial for prediction of tertiary structures. RESULTS The proposed PFRES method for automated protein fold classification from low identity (<35%) sequences obtains 66.4% and 68.4% accuracy for two test sets, respectively. PFRES obtains 6.3-12.4% higher accuracy than the existing methods. The prediction accuracy of PFRES is shown to be statistically significantly better than the accuracy of competing methods. Our method adopts a carefully designed, ensemble-based classifier, and a novel, compact and custom-designed feature representation that includes nearly 90% less features than the representation of the most accurate competing method (36 versus 283). The proposed representation combines evolutionary information by using the PSI-BLAST profile-based composition vector and information extracted from the secondary structure predicted with PSI-PRED. AVAILABILITY The method is freely available from the authors upon request.
In Vivo Evaluation of Histomorphological Alterations in First-Degree Burn Injuries by means of Confocal-Laser-Scanning Microscopy—More Than “Virtual Histology?”

There are various approaches to the treatment of superficial burns. No modality exists to date for determining treatment efficiency on morphological features. We review the first application of high-resolution in vivo confocal-laser-scanning microscopy (CLSM) to the evaluation of superficial burns on a histomorphological level. Sixteen patients (6 women, 10 men; 34.5 ± 16.2 years) with first-degree thermal contact injuries to a maximum extent of 1% of the body surface were enrolled into the study. CLSM was performed with the Vivascope 1500 (Lucid Inc., Rochester, NY) 24 hours after injury. The following parameters were assessed: cell size of the granular layer, thickness of the basal layer, minimal thickness of the epidermis, and diameter of capillary loops. Compared with the control sites 24 hours postburn, the minimal thickness of the epidermis increased on average by approximately 11% (P = .01; t-test); the thickness of the basal layer increased about 7% (P = .008; t-test); the diameter of capillary loops increased approximately by 17% (P = 0.003; t-test); and the cell size of the granular layer increased about 8% (P = .009; Wilcoxon’s test). In vivo CLSM allows characterizing and quantifying histomorphological alterations in superficial burns. CLSM could be helpful in assessing the effects of various treatment approaches for superficial burns on a histomorphological level.
Fabrication of Completely Polymer-Based Solar Cells with p- and n-Type Semiconducting Block Copolymers with Electrically Inert Polystyrene

It is widely recognized that fullerene derivatives show several advantages as n-type materials in photovoltaic applications. However, conventional [6,6]-phenyl-C61-butyric acid methyl ester (PCBM) exhibits weak absorption in the visible region, and poor morphological stability, due to the facile aggregation. For further improvement of the device performance and durability, utilization of n-type polymeric materials instead of PCBM is considered to be a good way to solve the problems. In this study, we fabricated completely polymer-based solar cells utilizing p- and n-type block copolymers consisting of poly(3-hexylthiophene) (P3HT) and poly{[N,N′-bis(2-octyldodecyl)naphthalene-1,4,5,8-bis(dicarboximide)-2,6-diyl]-alt-5,5′-(2,2′-bithiophene)} [P(NDI2OD-T2)], respectively, containing common polystyrene (PSt) inert blocks, which decreased the size of phase separated structures. Electron mobility in synthesized P(NDI2OD-T2)-b-PSt film enhanced by a factor of 8 compared with homopolymer. The root mean square roughness of the blend film of two block copolymers (12.2 nm) was decreased, compared with that of the simple homopolymers blend (18.8 nm). From the current density-voltage characteristics, it was confirmed that the introduction of PSt into both P3HT and P(NDI2OD-T2) improves short-circuit current density (1.16 to 1.73 mA cm−2) and power-conversion efficiency (0.24% to 0.32%). Better performance is probably due to the uniformity of the phase separation, and the enhancement of charge mobility.
Variants in the SMARCA4 gene was associated with coronary heart disease susceptibility in Chinese han population

Background Coronary heart disease (CHD) is the leading cause of death worldwide. Many single-nucleotide polymorphisms (SNPs) are found to be related to the risk of CHD in previous studies. This study investigated whether polymorphism of SMARCA4 gene is associated with CHD. Materials and methods Genotypes at five CHD-relevant SNPs were determined in 456 cases of incident CHD and 685 unaffected controls in Chinese Han population using ? 2 test, genetic model analysis and haplotype analysis. We also analysis the differences in continuous variables among the subjects with three genotypes of related genes were assessed using the ANOVA. Results We identified two susceptibility SNPs in the SMARCA4 gene that were potentially associated with a decreased risk of CHD. We identified rs11879293 (OR, 0.74; 95% CI, 0.59-0.96; P = 0.012) and rs12232780 (OR, 0.70; 95% CI, 0.54-0.90; P = 0.005) were associated with a decreased risk of CHD risk under the log-additive model adjusted by gender and age. Meanwhile, we also found that significant differences in glucose concentrations with rs11879293 and rs1122608 different genotype. Serum LDL-C and HDL-C were seen among the 3 genotypes of rs12232780 exist differences. Conclusion This study provides an evidence for polymorphism of SMARCA4 gene associated with CHD development in Chinese Han population.
Is the Driving Force of a Continuous Process a Brownian Motion or Fractional Brownian Motion

Ito’s semimartingale driven by a Brownian motion is typically used in modeling the asset prices, interest rates and exchange rates, and so on. However, the assumption of Brownian motion as a driving force of the underlying asset price processes is rarely contested in practice. This naturally raises the question of whether this assumption is really appropriate. In the paper we propose a statistical test to answer the above question using high frequency data. The test can be used to validate the assumption of semimartingale framework and test for the existence of the long run dependence captured by the fractional Brownian motion in a parsimonious way. Asymptotic properties of the test statistics are investigated. Simulations justify the performance of the test. Real data sets are also analyzed.