Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality of Life in Bladder Cancer Patients Treated with Radical Cystectomy and Orthotopic Bladder Reconstruction versus Bladder Preservation Protocol

Background: Tri-modality bladder sparing therapy in selected bladder cancer patients may be an alternatives treatment option to immediate radical cystectomy as it may result in satisfactory Quality Of Life (QOL). The present study evaluated the effects of this conservative approach versus surgical approach, i.e. Radical Cystectomy (RC) and orthotopic neobladder, on QOL of patients. Patients and methods: This is a prospective study of patients with bladder cancer in group I (using tri-modality bladder sparing therapy) and group II (using RC and orthotopic neobladder). Patients in both groups were subjected to interview NCCN-FACT FBlSI18 questionnaire, inquiring about physical and emotional disease related symptoms, treatment side effects and function and well being. SPSS version18 software was used for statistical analysis. Results: Internal consistency of the 18 items in both groups was assessed by Cronbach’s α which was adequate at 0.89 at Group I and 0.84 at Group II. Univariate analysis showed that there were statistically significant difference (p<0.05) in favor of group I patients compared to those in group II, regarding bladder function, potency and bowel symptoms. Multivariate analysis revealed that only T stage significantly affected physical and emotional disease related symptoms, and treatment side effects subscales in favor of bladder preservation group. Conclusions: Tri-modality bladder sparing therapy resulted in well-functioning bladders, mild bowel symptoms, and satisfactory sexual functioning in contrast to the surgical approach in bladder cancer patients and should be considered as a reasonable option for these patients.
General properties of the gravitational wave spectrum from phase transitions

In this paper we discuss some general aspects of the gravitational wave background arising from postinflationary short-lasting cosmological events such as phase transitions. We concentrate on the physics which determines the shape and the peak frequency of the gravitational wave spectrum. We then apply our general findings to the case of bubble collisions during a first order phase transition and compare different results in the recent literature.
The Anabolic Androgenic Steroid Nandrolone Decanoate Disrupts Redox Homeostasis in Liver, Heart and Kidney of Male Wistar Rats

The abuse of anabolic androgenic steroids (AAS) may cause side effects in several tissues. Oxidative stress is linked to the pathophysiology of most of these alterations, being involved in fibrosis, cellular proliferation, tumorigenesis, amongst others. Thus, the aim of this study was to determine the impact of supraphysiological doses of nandrolone decanoate (DECA) on the redox balance of liver, heart and kidney. Wistar male rats were treated with intramuscular injections of vehicle or DECA (1 mg.100 g−1 body weight) once a week for 8 weeks. The activity and mRNA levels of NADPH Oxidase (NOX), and the activity of catalase, glutathione peroxidase (GPx) and total superoxide dismutase (SOD), as well as the reduced thiol and carbonyl residue proteins, were measured in liver, heart and kidney. DECA treatment increased NOX activity in heart and liver, but NOX2 mRNA levels were only increased in heart. Liver catalase and SOD activities were decreased in the DECA-treated group, but only catalase activity was decreased in the kidney. No differences were detected in GPx activity. Thiol residues were decreased in the liver and kidney of treated animals in comparison to the control group, while carbonyl residues were increased in the kidney after the treatment. Taken together, our results show that chronically administered DECA is able to disrupt the cellular redox balance, leading to an oxidative stress state.
Simulation of temperature and elastic-plastic stresses in solid shell during continuous casting process.

An analytical method to simulate the temperature and the stress fields in a continuous casting slab under steady operating conditions is presented. The heat conduction equation incorporating heat generation due to solidification was solved by finite element method to obtain the spatially steady temperature distribution when considering material flow. Elastic-plastic stresses in the solidified shell were also evaluated. A parameter study was carried out in order to obtain the optimal operating condition such as shell thickness, site of crater end, and stress distribution as functions of the casting speed and cooling condition.
Modelling Uncertainty of Stream Networks Derived from Elevation Data Using Two Free Softwares: R and SAGA

Stream networks are considered important units in many environmental decision making processes. The extraction of streams using digital elevation models (DEMs) presents many advantages. However it is very sensitive to the uncertainty of the elevation datasets used. The main aim of this paper is to implement geostatistical simulations and assess the propagated uncertainty and map the error of location streams. First, point sampled elevations are used to fit a variogram model. Next two hundred DEM realizations are generated using conditional sequential Gaussian simulation; the stream network map is extracted for each of these realizations, and the collection of stream networks is analyzed to quantify the error propagation. At each grid cell, the probability of the occurrence of a stream and the propagated error are estimated. The more probable stream network are delineated and compared with the digital stream network derived from topographic map. The method is illustrated using a small dataset (8742 sampled elevations) for Anaguid Saharan platform. All computations are run in two free softwares: R and SAGA. R is used to fit variogram and to run sequential Gaussian simulation. SAGA is used to extract streams via RSAGA library.
Predictive value of folate, vitamin B12 and homocysteine levels in late-life depression

Background The role of folate, vitamin B12 and homocysteine levels in depression is not clear. Aims To investigate cross-sectional and prospective associations between folate, B12 and homocysteine levels and late-life depression. Method A total of 732 Korean people aged 65 years or over were evaluated at baseline. Of the 631 persons who were not depressed, 521 (83%) were followed over a period of 2–3 years and incident depression was ascertained with the Geriatric Mental State schedule. Serum folate, serum vitamin B12 and plasma homocysteine levels were assayed at both baseline and follow-up. Results Lower levels of folate and vitamin B12 and higher homocysteine levels at baseline were associated with a higher risk of incident depression at follow-up. Incident depression was associated with a decline in vitamin B12 and an increase in homocysteine levels over the follow-up period. Conclusions Lower folate, lower vitamin B12 and raised homocysteine levels may be risk factors for late-life depression.
PccD Regulates Branched-Chain Amino Acid Degradation and Exerts a Negative Effect on Erythromycin Production in Saccharopolyspora erythraea

ABSTRACT Branched-chain amino acid (BCAA) degradation is a major source of propionyl coenzyme A (propionyl-CoA), a key precursor of erythromycin biosynthesis in Saccharopolyspora erythraea. In this study, we found that the bkd operon, responsible for BCAA degradation, was regulated directly by PccD, a transcriptional regulator of propionyl-CoA carboxylase genes. The transcriptional level of the bkd operon was upregulated 5-fold in a pccD gene deletion strain (ΔpccD strain) and decreased 3-fold in a pccD overexpression strain (WT/pIB-pccD), demonstrating that PccD was a negative transcriptional regulator of the operon. The deletion of pccD significantly improved the ΔpccD strain's growth rate, whereas pccD overexpression repressed WT/pIB-pccD growth rate, in basic Evans medium with 30 mM valine as the sole carbon and nitrogen source. The deletion of gdhA1 and the BcdhE1 gene (genes in the bkd operon) resulted in lower growth rates of ΔgdhA1 and ΔBcdhE1 strains, respectively, on 30 mM valine, further suggesting that the bkd operon is involved in BCAA degradation. Both bkd overexpression (WT/pIB-bkd) and pccD inactivation (ΔpccD strain) improve erythromycin production (38% and 64%, respectively), whereas the erythromycin production of strain WT/pIB-pccD was decreased by 48%. Lastly, we explored the applications of engineering pccD and bkd in an industrial high-erythromycin-producing strain. pccD deletion in industrial strain S. erythraea E3 (E3pccD) improved erythromycin production by 20%, and the overexpression of bkd in E3ΔpccD (E3ΔpccD/pIB-bkd) increased erythromycin production by 39% compared with S. erythraea E3 in an industrial fermentation medium. Addition of 30 mM valine to industrial fermentation medium further improved the erythromycin production by 23%, a 72% increase from the initial strain S. erythraea E3. IMPORTANCE We describe a bkd operon involved in BCAA degradation in S. erythraea. The genes of the operon are repressed by a TetR regulator, PccD. The results demonstrated that PccD controlled the supply of precursors for biosynthesis of erythromycin via regulating the BCAA degradation and propionyl-CoA assimilation and exerted a negative effect on erythromycin production. The findings reveal a regulatory mechanism in feeder pathways and provide new strategies for designing metabolic engineering to increase erythromycin yield.
Corpora for the Evaluation of Robust Speaker Recognition Systems

The goal of this paper is to describe significant corpora available to support speaker recognition research and evaluation, along with details about the corpora collection and design. We describe the attributes of high-quality speaker recognition corpora. Considerations of the application, domain, and performance metrics are also discussed. Additionally, a literature survey of corpora used in speaker recognition research over the last 10 years is presented. Finally we show the most common corpora used in the research community and review them on their success in enabling meaningful speaker recognition research.
Biomarkers and Stimulation Algorithms for Adaptive Brain Stimulation

The goal of this review is to describe in what ways feedback or adaptive stimulation may be delivered and adjusted based on relevant biomarkers. Specific treatment mechanisms underlying therapeutic brain stimulation remain unclear, in spite of the demonstrated efficacy in a number of nervous system diseases. Brain stimulation appears to exert widespread influence over specific neural networks that are relevant to specific disease entities. In awake patients, activation or suppression of these neural networks can be assessed by either symptom alleviation (i.e., tremor, rigidity, seizures) or physiological criteria, which may be predictive of expected symptomatic treatment. Secondary verification of network activation through specific biomarkers that are linked to symptomatic disease improvement may be useful for several reasons. For example, these biomarkers could aid optimal intraoperative localization, possibly improve efficacy or efficiency (i.e., reduced power needs), and provide long-term adaptive automatic adjustment of stimulation parameters. Possible biomarkers for use in portable or implanted devices span from ongoing physiological brain activity, evoked local field potentials (LFPs), and intermittent pathological activity, to wearable devices, biochemical, blood flow, optical, or magnetic resonance imaging (MRI) changes, temperature changes, or optogenetic signals. First, however, potential biomarkers must be correlated directly with symptom or disease treatment and network activation. Although numerous biomarkers are under consideration for a variety of stimulation indications the feasibility of these approaches has yet to be fully determined. Particularly, there are critical questions whether the use of adaptive systems can improve efficacy over continuous stimulation, facilitate adjustment of stimulation interventions and improve our understanding of the role of abnormal network function in disease mechanisms.
Effectiveness of a weight loss intervention in postpartum women: results from a randomized controlled trial in primary health care.

BACKGROUND Reproduction has been identified as an important factor for long-term weight gain among women. A previous efficacy trial has successfully produced postpartum weight loss; however, the effectiveness of this intervention needs to be established. OBJECTIVE This study was designed to evaluate the short- and long-term effectiveness of a diet behavior modification treatment to produce weight loss in postpartum women within the primary health care setting in Sweden. DESIGN During 2011-2014, 110 women with a self-reported body mass index (BMI; in kg/m(2)) of ≥27 at 6-15 wk postpartum were randomly assigned to the diet behavior modification group (D group) or the control group (C group). Women randomly assigned to the D group (n = 54) received a structured 12-wk diet behavior modification treatment by a dietitian and were instructed to gradually implement a diet plan based on the Nordic Nutrition Recommendations and to self-weigh ≥3 times/wk. Women randomly assigned to the C group (n = 56) were given a brochure on healthy eating. The primary outcome was change in body weight after 12 wk and 1 y. The retention rate was 91% and 85% at 12 wk and 1 y, respectively. RESULTS At baseline, women had a median (1st, 3rd quartile) BMI of 31.0 (28.8, 33.6), and 84% were breastfeeding. After 12 wk, median weight change in the D group was -6.1 kg (-8.4, -3.2 kg) compared with -1.6 kg (-3.5, -0.4 kg) in the C group (P < 0.001). The difference was maintained at the 1-y follow-up for the D group, -10.0 kg (-11.7, -5.9 kg) compared with -4.3 kg (-10.2, -1.0 kg) in the C group (P = 0.004). In addition, the D group reduced BMI, waist circumference, hip circumference, and body fat percentage more than did the C group at both 12 wk and 1 y (all P < 0.05). CONCLUSION A low-intensity diet treatment delivered by a dietitian within the primary health care setting can produce clinically relevant and sustainable weight loss in postpartum women with overweight and obesity. This trial was registered at clinicaltrials.gov as NCT01949558.
Dissecting Causal Pathways Using Mendelian Randomization with Summarized Genetic Data: Application to Age at Menarche and Risk of Breast Cancer

Mendelian randomization is the use of genetic variants as instrumental variables to estimate causal effects of risk factors on outcomes. The total causal effect of a risk factor is the change in the outcome resulting from intervening on the risk factor. This total causal effect may potentially encompass multiple mediating mechanisms. For a proposed mediator, the direct effect of the risk factor is the change in the outcome resulting from a change in the risk factor, keeping the mediator constant. A difference between the total effect and the direct effect indicates that the causal pathway from the risk factor to the outcome acts at least in part via the mediator (an indirect effect). Here, we show that Mendelian randomization estimates of total and direct effects can be obtained using summarized data on genetic associations with the risk factor, mediator, and outcome, potentially from different data sources. We perform simulations to test the validity of this approach when there is unmeasured confounding and/or bidirectional effects between the risk factor and mediator. We illustrate this method using the relationship between age at menarche and risk of breast cancer, with body mass index (BMI) as a potential mediator. We show an inverse direct causal effect of age at menarche on risk of breast cancer (independent of BMI), and a positive indirect effect via BMI. In conclusion, multivariable Mendelian randomization using summarized genetic data provides a rapid and accessible analytic strategy that can be undertaken using publicly available data to better understand causal mechanisms.
Endometriosis-related infertility: ovarian endometrioma per se is not associated with presentation for infertility.

STUDY QUESTION Is there an association between the endometriosis phenotype and presentation with infertility? SUMMARY ANSWER In a population of operated patients with histologically proven endometriosis, ovarian endometrioma (OMA) per se is not associated with an increased risk of presentation with infertility, while previous surgery for endometriosis was identified as a risk factor for infertility. WHAT IS KNOWN ALREADY The increased prevalence of endometriosis among subfertile women indicates that endometriosis impairs reproduction for reasons that are not completely understood. STUDY DESIGN, SIZE, DURATION This was an observational, cross-sectional study using data prospectively collected in all non-pregnant patients aged between 18 and 42 years, who were surgically explored for benign gynaecological conditions at our institution between January 2004 and March 2013. For each patient, a standardized questionnaire was completed during a face-to-face interview conducted by the surgeon during the month preceding surgery. PARTICIPANTS/MATERIALS, SETTING, METHODS Surgery was performed in 2208 patients, of which 2066 signed their informed consent. Of the 1059 women with a visual diagnosis of endometriosis, 870 had histologically proven endometriosis and complete treatment for their endometriotic lesions, including 307 who presented with infertility. Univariate analysis and multiple logistic regression analysis were performed to determine factors associated with infertility. MAIN RESULTS AND THE ROLE OF CHANCE The following variables were identified as risk factors for endometriosis-related infertility: age >32 years (odds ratio [OR] = 1.9; 95% confidence interval [CI]: 1.4-2.4), previous surgery for endometriosis (OR = 1.9; 95% CI: 1.3-2.2), as well as peritoneal superficial endometriosis (OR = 3.1; 95% CI: 1.9-4.9); Conversely, previous pregnancy was associated with a lower rate of infertility (OR = 0.7; 95% CI: 0.6-0.9 and OR = 0.6; 95% CI: 0.4-0.9, respectively). OMA is not selected as a significant risk factor for infertility. LIMITATIONS, REASON FOR CAUTION The selection of our study population was based on a surgical diagnosis. We cannot exclude that infertile women with OMA associated with a diminished ovarian reserve, as assessed during their infertility work-up, were referred less frequently to surgery and might therefore be underrepresented. In addition we cannot exclude that our group of infertile women present associated other causes of infertility. WIDER IMPLICATIONS OF THE FINDINGS Identification of risk and preventive factors of endometriosis-related infertility can help improve clinical and surgical management of endometriosis in the setting of infertility. STUDY FUNDING/COMPETING INTERESTS None. TRIAL REGISTRATION NUMBER None.
Potential Immunological Biomarkers for Detection of Mycobacterium tuberculosis Infection in a Setting Where M. tuberculosis Is Endemic, Ethiopia

ABSTRACT Accurate diagnosis and early treatment of tuberculosis (TB) and latent TB infection (LTBI) are vital to prevent and control TB. The lack of specific biomarkers hinders these efforts. This study's purpose was to screen immunological markers that discriminate Mycobacterium tuberculosis infection outcomes in a setting where it is endemic, Ethiopia. Whole blood from 90 participants was stimulated using the ESAT-6/CFP-10 antigen cocktail. The interferon gamma (IFN-γ)-based QuantiFERON diagnostic test was used to distinguish between LTBI and uninfected control cases. Forty cytokines/chemokines were detected from antigen-stimulated plasma supernatants (SPSs) and unstimulated plasma samples (UPSs) using human cytokine/chemokine antibody microarrays. Statistical tests allowed us to identify potential biomarkers that distinguish the TB, LTBI, and healthy control groups. As expected, the levels of IFN-γ in SPSs returned a high area under the receiver operating characteristic curve (AUC) value comparing healthy controls and LTBI cases (Z = 0.911; P < 0.001). The SPS data also indicated that interleukin 17 (IL-17) abundance discriminates LTBI from healthy controls (Z = 0.763; P = 0.001). RANTES and MIP-1β were significantly elevated in SPSs of TB-infected compared to healthy controls (P < 0.05), while IL-12p40 and soluble tumor necrosis factor receptor II (sTNF-RII) were significantly increased in active TB cases compared to the combined LTBI and control groups (P < 0.05). Interestingly, quantitative changes for RANTES were observed using both SPSs and UPSs, with P values of 0.013 and 0.012, respectively, in active TB versus LTBI cases and 0.001 and 0.002, respectively, in active TB versus healthy controls. These results encourage biomarker verification studies for IL-17 and RANTES. Combinations of these cytokines may complement IFN-γ measurements to diagnose LTBI and distinguish active TB from LTBI cases.
Differential Expressions of Matrix Metalloproteinase- 8 and 13 in Human Coronal and Radicular Dentin with Progression of Caries

Matrix metalloproteinases (MMPs) is the proteolytic enzyme that is involved in the inflammatory diseases in the body through degradation of extracellular matrix1. The MMPs promote tissue remodeling and cell migration by degrading all kinds of proteinaceous components in the ECM extensively. There have been a lot of studies about the role of MMPs in the oral tissues. The MMPs are known to play an fundamental role in invasion and growth of oral tumor as well as in development and remodeling of oral tissue23,. Their expression were observed in pulps and periapical lesions and are found to be closely related to periodontal disease especially45,. In periodontal disease, MMPs that are classified as collagenase, such as MMP-1, 8 are known to cause absorption as well as destruction Korean Journal of Oral and Maxillofacial Pathology 2016;40(1):667-676
Spatial Filtering of RF Interference in Radio Astronomy Using a Reference Antenna Array

Radio astronomical observations are increasingly contaminated by RF interference. Assuming an array of telescopes, a previous technique considered spatial filtering based on projecting out the interferer array signature vector. A disadvantage is that this effectively reduces the array by one (expensive) telescope. In this paper, we consider extending the astronomical array with a reference antenna array, and develop spatial filtering algorithms for this situation. The information from the reference antennas improves the quality of the interferer signature vector estimation, hence more of the interference can be projected out. Moreover, since only the covariance data of the astronomical array has to be reconstructed, the conditioning of the problem improves as well. The algorithms are tested both on simulated and experimental data.