Miracle-dz/UniFAR-FTUs huggingface dataset:
Chandra measurements of the distribution of mass in the luminous lensing cluster Abell 2390

We present spatially resolved X-ray spectroscopy of the luminous lensing cluster Abell 2390, using observations made with the Chandra observatory. The temperature of the X-ray gas rises with increasing radius within the central ∼ 200 kpc of the cluster, and then remains approximately isothermal, with kT=11.5−1.6+1.5 keV, out to the limits of the observations at r∼1.0 Mpc. The total mass profile determined from the Chandra data has a form in good agreement with the predictions from numerical simulations. Using the parametrization of Navarro, Frenk and White, we measure a scale radius rs∼0.8 Mpc and a concentration parameter c∼3. The best-fitting X-ray mass model is in good agreement with independent gravitational lensing results and optical measurements of the galaxy velocity dispersion in the cluster. The X-ray gas to total mass ratio rises with increasing radius with fgas∼21 per cent at r=0.9 Mpc. The azimuthally averaged 0.3–7.0 keV surface brightness profile exhibits a small core radius and a clear ‘break’ at r∼500 kpc, where the slope changes from SX ∼∝ r−1.5 to SX ∼∝ r−3.6. The data for the central region of the cluster indicate the presence of a cooling flow with a mass deposition rate of 200–300 M⊙ yr−1 and an effective age of 2–3 Gyr.
Open Versus Closed Conference Calls: The Determinants and Effects of Broadening Access to Disclosure

Recent advances in information technology allow firms to provide broader access to their disclosures. We examine the determinants and effects of the decision to provide unlimited real-time access to conference calls (i.e., "open"conference calls). Our evidence suggests that the decision to provide open calls is associated with the composition of a firm's investor base and, to some degree, the complexity of its financial information. We also find that open calls are associated with a greater increase in small trades (consistent with individuals trading on information released during the call) and higher price volatility during the call period. Key Words: Conference calls, corporate disclosure, selective disclosure, price volatility, institutional investors
Differential expression of stem cell markers and ABCG2 in recurrent prostate cancer

Prostate cancer (PCa) is the second most common tumor type related to mortality in males in the developed countries. Studies have demonstrated that therapeutic tools mostly ineffective to give positive outcome especially for PCa. Cancer stem cells are composed of a small cell population, which are supposed to have roles in tumorigenesis, metastasis, and tumor recurrence after chemo‐radiotherapy. The aim of this research is to investigate expressions of stem cell markers in recurrent PCa and non‐recurrent PCa tumors as well as in adjacent normal prostate tissues.
Previous Knee Injury and Health-Related Quality of Life in Collegiate Athletes.

CONTEXT Patient-rated outcome measures (PROMs) capture changes that are important and meaningful to patients, such as health-related quality of life (HRQOL). Although group differences in HRQOL have been reported, little is known about the effect of injury history on HRQOL in collegiate athletes. OBJECTIVE To determine whether knee-specific function (International Knee Documentation Committee Subjective Knee Evaluation Form [IKDC]) and HRQOL (Short Form 12 [SF-12]) differs in collegiate athletes based on sex and the severity of a previous knee injury. DESIGN Cross-sectional study. SETTING Athletic training facilities. PATIENTS OR OTHER PARTICIPANTS Healthy collegiate athletes (n = 263) were grouped based on self-report of a previous knee injury: severe (n = 47), mild (n = 40), and no (n = 176) knee injury. INTERVENTION(S) Participants completed the IKDC and SF-12 during their preparticipation examinations. MAIN OUTCOME MEASURE(S) Generalized linear models were used to assess interactions and main effects of all scores. RESULTS An interaction effect was observed for the SF-12 role physical subscale (P = .02), with men in the mild- and severe-injury groups reporting worse scores than men with no injury history. We noted a main effect for injury group for the IKDC total score (P < .001) and SF-12 physical functioning (P = .04) and role emotional (P = .04) subscales, with the severe-injury group reporting worse scores than the mild- and no-injury groups. No main effects of sex were reported (P > .05). CONCLUSIONS Despite returning to full participation, collegiate athletes who previously sustained severe knee injuries tended to report worse knee-specific function and less ability to complete activities due to physical health. In addition, individuals with a history of severe knee injury tended to report more emotional concerns than athletes with a history of mild or no knee injury. Region-specific PROMs may be more sensitive in detecting deficits than generic PROMs after return to full participation. Researchers should investigate the role of PROMs, particularly region-specific PROMs, as potential screening tools for clinical care.
Renal hemodynamics and renin–angiotensin system activity in humans with multifocal renal artery fibromuscular dysplasia

Background: Fibromuscular dysplasia (FMD) is the second most common cause of renovascular hypertension. Nonetheless, knowledge on the renal microvasculature and renin–angiotensin system (RAS) activity in kidneys with FMD is scarce. Given the fairly good results of revascularization, we hypothesized that the renal microvasculature and RAS are relatively spared in kidneys with FMD. Method: In 58 hypertensive patients with multifocal renal artery FMD (off medication) and 116 matched controls with essential hypertension, we measured renal blood flow (133Xenon washout method) per kidney and drew blood samples from the aorta and both renal veins to determine renin secretion and glomerular filtration rate per kidney. Results: We found that renal blood flow and glomerular filtration rate in FMD were comparable to those in controls. Although systemic renin levels were somewhat higher in FMD, renal renin secretion was not elevated. Moreover, in patients with unilateral FMD, no differences between the affected and unaffected kidney were observed with regard to renal blood flow, glomerular filtration rate, or renin secretion. In men, renin levels and renin secretion were higher as compared with women. The renal blood flow response to RAS modulation (by intrarenal infusion of angiotensin II, angiotensin-(1–7), an angiotensin II type 1 receptor blocker, or a nitric oxide synthase blocker) was also comparable between FMD and controls. Conclusion: Renal blood flow, glomerular filtration, and the response to vasoactive substances in kidneys with multifocal FMD are comparable to patients with essential hypertension, suggesting that microvascular function is relatively spared. Renin secretion was not increased and the response to RAS modulation was not affected in kidneys with FMD.
Universal Neural Machine Translation for Extremely Low Resource Languages

In this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of parallel data. Our proposed approach utilizes a transfer-learning approach to share lexical and sentence level representations across multiple source languages into one target language. The lexical part is shared through a Universal Lexical Representation to support multi-lingual word-level sharing. The sentence-level sharing is represented by a model of experts from all source languages that share the source encoders with all other languages. This enables the low-resource language to utilize the lexical and sentence representations of the higher resource languages. Our approach is able to achieve 23 BLEU on Romanian-English WMT2016 using a tiny parallel corpus of 6k sentences, compared to the 18 BLEU of strong baseline system which uses multi-lingual training and back-translation. Furthermore, we show that the proposed approach can achieve almost 20 BLEU on the same dataset through fine-tuning a pre-trained multi-lingual system in a zero-shot setting.
EFFECTS OF CALCIUM NITRATE-BASED CORROSION INHIBITOR AND FLY ASH ON COMPRESSIVE STRENGTH OF HIGH-PERFORMANCE CONCRETE

Calcium nitrate-based corrosion inhibitor is often added to concrete mixtures to provide corrosion protection to the steel reinforcement. This paper presents the initial results from an extensive study of the effect of calcium nitrite-based corrosion inhibitor (CNI) and fly ash on the properties of high-performance concrete (HPC). A The authors developed a design to evaluate the influence of water-cement ratio (w/c), CNI, and fly ash on the compressive strength of concrete. A total of 27 mixtures were made of air-entrained low w/c concrete containing 8.2% silica fume, different amounts of fly ash, and with and without corrosion inhibitor. Results showed that when fly ash was used to replace Portland cement in a concrete mixture containing silica fume, the 28-day compressive strength decreased. These results confirm and replicate those found in earlier studies. The authors note that this effect is more pronounced as the w/c decreases from 0.45 to 0.29. When CNI is added to a concrete mixture with or without fly ash, it does not adversely affect the compressive strength.
Abnormal transcranial Döppler ultrasonography in children with sickle cell disease

Background Stroke is a potentially fatal complication of sickle cell disease in children between 2-16 years and transcranial Döppler has been recommended as a screening method in these cases. Objective The main goal of this study was to correlate transcranial Döppler results to complications related to stroke in sickle cell disease and baseline characteristics of the population. Methods This was an observational study of children and adolescents with ages between 2-16 years with sickle cell disease who were followed in three centers. Results From January 2008 to July 2009, 902 patients were enrolled in this study. The median age was 6.5 years (range: 1.8-15.8), 52.3% were male, 74.4% had hemoglobin SS; 221 (28.6%) had at least one complication associated with sickle cell disease. A total of 773 patients performed transcranial Döppler; in 91.2% this was a method of screening. Conditional or abnormal transcranial Döppler results were more common in patients with sickle cell disease complications versus those without complications (ODDS ratio = 3.18; 95% Confidence interval = 1.92-5.27). There was a significant difference in the frequency of conditional or abnormal transcranial Döppler results in patients with abnormal laboratory results compared to those without abnormalities (OR=4.03); 95% confidence interval = 2.30-7.06. Conclusions Conditional or abnormal transcranial Döppler results were significantly more frequent in patients with complications of sickle cell disease confirming the increased risk of stroke in this subgroup of patients. This observation reinforces the recommendation of transcranial Döppler as a screening test for all patients with sickle cell disease with ages between 2 and 16 years.
The Hansenula polymorpha PER9 Gene Encodes a Peroxisomal Membrane Protein Essential for Peroxisome Assembly and Integrity (*)

We have cloned and characterized the Hansenula polymorpha PER9 gene by functional complementation of the per9-1 mutant of H. polymorpha, which is defective in peroxisome biogenesis. The predicted product, Per9p, is a polypeptide of 52 kDa with sequence similarity to Pas3p, a protein involved in peroxisome biogenesis in Saccharomyces cerevisiae. In a per9 disruption strain (Δper9), peroxisomal matrix and membrane proteins are present at wild-type levels. The matrix proteins accumulated in the cytoplasm. However, the location of the membrane proteins remained obscure; fully induced Δper9 cells lacked residual peroxisomal vesicles (“ghosts”). Analysis of the activity of the PER9 promoter revealed that PER9 expression was low in cells grown on glucose, but was enhanced during growth of cells on peroxisome-inducing substrates. The highest expression levels were observed in cells grown on methanol. Localization studies revealed that Per9p is an integral membrane protein of the peroxisome. Targeting studies suggested that Per9p may be sorted to the peroxisome via the endoplasmic reticulum. Overexpression of PER9 induced a significant increase in the number of peroxisomes per cell, a result that suggests that Per9p may be involved in peroxisome proliferation and/or membrane biosynthesis. When PER9 expression was placed under the control of a strongly regulatable promoter and switched off, peroxisomes were observed to disintegrate over time in a manner that suggested that Per9p may be required for maintenance of the peroxisomal membrane.
Ki-67 labeling index is a predictive marker for a pathological complete response to neoadjuvant chemotherapy in breast cancer

Background: A pathological complete response (pCR) after neoadjuvant chemotherapy (NCT) is a strong indicator of the benefit of therapy and presents an early surrogate for a favorable long-term outcome. It remains unclear whether Ki-67, a marker for tumor proliferation, can function as a predictor of the response to NCT in breast cancer. The objective of this meta-analysis was to compare the pCR rate and clinical outcomes in breast cancer patients with different Ki-67 labeling indexes (Ki-67 LI) who received NCT. Methods: Clinical studies were retrieved from the electronic databases of PubMed, Embase, Clinical Trials, Wanfang, and the Chinese National Knowledge Infrastructure, from their inception to July 31, 2017. Meta-analysis was performed on pool eligible studies to determine whether Ki-67 LI was associated with the pCR rate and clinical outcomes of breast cancer patients who were treated with NCT. Pooled analyses were performed using fixed effects models. Two reviewers screened all titles and abstracts and independently assessed all articles. Results: A total of 36 studies involving 6793 patients were included in the meta-analysis. Pooled analysis results revealed that patients with high Ki-67 LI exhibited significantly higher pCR rates (odds ratio [OR] = 3.94, 95% confidence interval [CI]: 3.33–4.67, P <.001) but poorer relapse-free survival (OR = 1.99, 95% CI: 1.39–2.85, P <.001) than those with low Ki-67 LI, but there was no significant difference in objective tumor response rate. Conclusion: The meta-analysis reported here demonstrates that pretherapeutic Ki-67 LI is associated with pCR in breast cancer patients undergoing NCT. More phase III randomized clinical trials will be required to confirm our findings.
Bacteremia due to multiresistant gram-negative bacilli in neutropenic cancer patients: a case-controlled study.

The aim of this study was to assess whether multiresistant gram-negative bacteremias (MRGNB) were associated with specific risk factors for higher mortality than sensitive gram-negative bacteremias. Two groups of subjects: (51 cases and 102 controls) were matched for sex, age, underlying disease, and neutropenia. There were no significant differences in the incidence of cytotoxic chemotherapy administered, vascular catheter insertion, catheter as source of bacteremia, and etiology of bacteremia. The proportion of Klebsiella-Enterobacter, Pseudomonas aeruginosa, Acinetobacter spp. , and Stenotrophomonas maltophilia was similar in the two groups. Prior surgery (21.6% vs 7.9%, P < 0.05) was significantly associated with sensitive gram-negative bacteremia. Previous prophylaxis with ofloxacin (45.1% vs 24.5%; P < 0.05) and prior therapy with broad-spectrum antibiotics (41.2% vs 27.5%; P < 0.05), such as first and second generation cephalosporins (19.6% vs 7.8%; P < 0.05), third generation cephalosporins (41.2% vs 13.7%; P < 0.01), aminoglycosides (39.2% vs 9.8%; P < 0.01), ofloxacin (11.8% vs 2.0%; P < 0.005), and imipenem (19.6% vs 2.0%; P < 0.001) were significantly more frequently observed among cases than controls. Cases (patients with bacteremia due to multiresistant gram-negative bacteremias) were also significantly more frequently infected with bacteria resistant to ceftazidime (68.6% vs 17.6%; P < 0.001), amikacin (52.9% vs 7.8%; P < 0.001), imipenem (50.1% vs 23.5%; P < 0.05), ciprofloxacin (32.1% vs 5.9%; P < 0.001), and piperacillin (41.2% vs 7.8%; P < 0.01). With regard to outcome, attributable mortality was similar (15.7% vs 13.8%; not significant) in the two groups; however, cure rates were lower among cases (patients infected with MRGNB) because crude mortality was higher in cases (35.3% vs 13.8%; P < 0.01) than in controls.
Feasibility of Recovering Energy from Municipal Solid Waste to Generate Electricity

Population growth and economic development in Indonesia have increased the production of municipal solid waste ( MSW) in many big cities, causing sanitary problems. The (MSW) disposal problem can be solved by applying an appropriate technology that can reduce the volume of the waste effectively and efficiently. Waste-to-Energy (WTE), or Energy-from-Waste (EFW), is one of the most effective and efficient t echnologies for reducing the waste volume. Energy recovered from the waste can be used for thermal or electricity generation. This paper deals with a fea sibility study of utilizing MSW for generating electricity. A survey and investigat ion of waste characteristics, including waste composition, chemical and physical composition, and heating value, were carried out for typical Bandung MSW. An average heating value of 1500 kcal/kg can be expected from pre-treated MSW to be used as a fuel for direct combustion in a WTE plant. A typical design for a small-scale WTE plant is shown in this paper and also an energy analysis is provided. Approximately 800 kW of electric power can be generated from 50 t onnes of MSW per day.
Optimizing Precision for Open-World Website Fingerprinting

Traffic analysis attacks to identify which web page a client is browsing, using only her packet metadata --- known as website fingerprinting --- has been proven effective in closed-world experiments against privacy technologies like Tor. However, due to the base rate fallacy, these attacks have failed in large open-world settings against clients that visit sensitive pages with a low base rate. We find that this is because they have poor precision as they were designed to maximize recall. In this work, we argue that precision is more important than recall for open-world website fingerprinting. For this reason, we develop three classes of {\em precision optimizers}, based on confidence, distance, and ensemble learning, that can be applied to any classifier to increase precision. We test them on known website fingerprinting attacks and show significant improvements in precision. Against a difficult scenario, where the attacker wants to monitor and distinguish 100 sensitive pages each with a low mean base rate of 0.00001, our best optimized classifier can achieve a precision of 0.78; the highest precision of any known attack before optimization was 0.014. We use precise classifiers to tackle realistic objectives in website fingerprinting, including selection, identification, and defeating website fingerprinting defenses.
Evolution of the scholarly mega-journal, 2006–2017

Mega-journals are a new kind of scholarly journal made possible by electronic publishing. They are open access (OA) and funded by charges, which authors pay for the publishing services. What distinguishes mega-journals from other OA journals is, in particular, a peer review focusing only on scientific trustworthiness. The journals can easily publish thousands of articles per year and there is no need to filter articles due to restricted slots in the publishing schedule. This study updates some earlier longitudinal studies of the evolution of mega-journals and their publication volumes. After very rapid growth in 2010–2013, the increase in overall article volumes has slowed down. Mega-journals are also increasingly dependent for sustained growth on Chinese authors, who now contribute 25% of all articles in such journals. There has also been an internal shift in market shares. PLOS ONE, which totally dominated mega-journal publishing in the early years, currently publishes around one-third of all articles. Scientific Reports has grown rapidly since 2014 and is now the biggest journal.
Prospects for Precision Medicine in Glomerulonephritis Treatment

Background: Glomerulonephritis (GN) consists of a group of kidney diseases that are categorized based on shared histopathological features. The current classifications for GN make it difficult to distinguish the individual variability in presentation, disease progression, and response to treatment. GN is a significant cause of end-stage renal disease (ESRD), and improved therapies are desperately needed because current immunosuppressive therapies sometimes lack efficacy and can lead to significant toxicities. In recent years, the combination of high-throughput genetic approaches and technological advances has identified important regulators contributing to GN. Objectives: In this review, we summarize recent findings in podocyte biology and advances in experimental approaches that have opened the possibility of precision medicine in GN treatment. We provide an integrative basic science and clinical overview of new developments in GN research and the discovery of potential candidates for targeted therapies in GN. Findings: Advances in podocyte biology have identified many candidates for therapeutic targets and potential biomarkers of glomerular disease. The goal of precision medicine in GN is now being pursued with recent technological improvements in genetics, accessibility of biologic and clinical information with tissue biobanks, high-throughput analysis of large-scale data sets, and new human model systems such as kidney organoids. Conclusion: With advances in data collection, technologies, and experimental model systems, we now have vast tools available to pursue precision medicine in GN. We anticipate a growing number of studies integrating data from high-throughput analysis with the development of diagnostic tools and targeted therapies for GN in the near future.
Neural-network construction and selection in nonlinear modeling

We study how statistical tools which are commonly used independently can advantageously be exploited together in order to improve neural network estimation and selection in nonlinear static modeling. The tools we consider are the analysis of the numerical conditioning of the neural network candidates, statistical hypothesis tests, and cross validation. We present and analyze each of these tools in order to justify at what stage of a construction and selection procedure they can be most useful. On the basis of this analysis, we then propose a novel and systematic construction and selection procedure for neural modeling. We finally illustrate its efficiency through large-scale simulations experiments and real-world modeling problems.