Miracle-dz/UniFAR-FTUs huggingface dataset:
A six-long non-coding RNAs signature as a potential prognostic marker for survival prediction of ER-positive breast cancer patients

Dysregulated expression of lncRNAs has been observed in various human complex diseases (including cancers) by recent transcriptional profiling studies, highlighting potentials of lncRNAs as biomarkers for cancer diagnosis and prognosis. Despite some efforts have been made to search for novel lncRNA signature in breast cancer, the prognostic value of lncRNAs for ER-positive breast cancer patients still needs to be systematically investigated. In this study, we analyzed lncRNA expression profiles in a large of more than 600 breast cancer patients with ER-positive status from The Cancer Genome Atlas (TCGA) and identified six lncRNAs that are significantly associated with survival. Then a linear risk score model comprising six prognostic lncRNAs, termed six-lncRNA signature, was developed to identify high-risk patients from low-risk cases. The results of Kaplan-Meier analysis and ROC curves demonstrated the good sensitivity and specificity in survival prediction both in the training and testing datasets. Multivariate Cox regression analysis and stratified analysis showed that the six-lncRNA signature is an independent prognostic marker in survival prediction for ER-positive breast cancer patients. The GO enrichment analysis suggested that the six-lncRNA might involve with known breast cancer-related biological processes. With further experimental validation, these identified prognostic lncRNAs might have clinical implications for more personalized risk assessment for ER-positive breast cancer patients.
Loss of floral polymorphism in heterostylous Luculia pinceana (Rubiaceae): a molecular phylogeographic perspective

Both deterministic and stochastic forces determine the representation and frequency of floral morphs in heterostylous plant populations. Phylogeographic analysis of molecular variation can provide information on the role of historical factors, including founder events, in affecting population morph structure. Here, we investigate geographical patterns of floral morph variation in a distylous shrub Luculia pinceana (Rubiaceae) by examining the relations between floral polymorphism and molecular (cpDNA and microsatellite) variation in 25 populations sampled throughout the distribution of the species in southwest China and adjacent countries. In 19 of the 25 populations, the frequency of floral morphs was not significantly different from the expected 1:1 ratio. The remaining populations were either L‐morph biased (2) or monomorphic (4) for this form and were morphologically differentiated from the remaining populations in several floral traits, that is, corolla tube length, sex organ position and stigma‐anther separation. Phylogeographic analysis supports the hypothesis that L. pinceana was initially split into west‐central and eastern lineages in the Early Pleistocene (∼1.982 Mya). A centrally located lineage composed of morph‐biased and monomorphic populations appears to have been subsequently derived from the west‐central lineage, perhaps by a founder event after the last glacial maximum. Hypotheses to explain why these populations have not returned to equilibrium morph frequencies are considered.
Microscopic methods in analysis of submicron phospholipid dispersions

Abstract Microscopy belongs to the group of tests, used in pharmaceutical technology, that despite the lapse of time and the development of new analytical methods, still remain irreplaceable for the characterization of dispersed drug dosage forms (e.g., suspensions and emulsions). To obtain complete description of a specific drug formulation, such as parenteral colloidal products, a combination of different microscopic techniques is sometimes required. Electron microscopy methods are the most useful ones; however, even such basic methods as optical microscopy may be helpful for determination of some properties of a sample. The publication explicates the most popular microscopical techniques used nowadays for characterization of the morphology of nanoparticles suspended in pharmaceutical formulations; ad vantages and disadvantages of these methods are also discussed. Parenteral submicron formulations containing lecithin or a particular phospholipid were chosen as examples.
Sedation and memories of patients subjected to mechanical ventilation in an intensive care unit

Objective To investigate the relationship between sedation and the memories reported by patients subjected to mechanical ventilation following discharge from the intensive care unit. Methods This prospective, observational, cohort study was conducted with individuals subjected to mechanical ventilation who remained in the intensive care unit for more than 24 hours. Clinical statistics and sedation records were extracted from the participants' clinical records; the data relative to the participants' memories were collected using a specific validated instrument. Assessment was performed three months after discharge from the intensive care unit. Results A total of 128 individuals were assessed, most of whom (84.4%) reported recollections from their stay in the intensive care unit as predominantly a combination of real and illusory events. The participants subjected to sedation (67.2%) at deep levels (Richmond Agitation-Sedation Scale [RASS] -4 and -5) for more than two days and those with psychomotor agitation (33.6%) exhibited greater susceptibility to occurrence of illusory memories (p>0.001). Conclusion The probability of the occurrence of illusory memories was greater among the participants who were subjected to deep sedation. Sedation seems to be an additional factor that contributed to the occurrence of illusory memories in severely ill individuals subjected to mechanical ventilation.
Snoring analysis for the screening of sleep apnea hypopnea syndrome with a single-channel device developed using polysomnographic and snoring databases

Several studies have shown differences in acoustic snoring characteristics between patients with Sleep Apnea-Hypopnea Syndrome (SAHS) and simple snorers. Usually a few manually isolated snores are analyzed, with an emphasis on postapneic snores in SAHS patients. Automatic analysis of snores can provide objective information over a longer period of sleep. Although some snore detection methods have recently been proposed, they have not yet been applied to full-night analysis devices for screening purposes. We used a new automatic snoring detection and analysis system to monitor snoring during full-night studies to assess whether the acoustic characteristics of snores differ in relation to the Apnea-Hypopnea Index (AHI) and to classify snoring subjects according to their AHI. A complete procedure for device development was designed, using databases with polysomnography (PSG) and snoring signals. This included annotation of many types of episodes by an expert physician: snores, inspiration and exhalation breath sounds, speech and noise artifacts, The AHI of each subject was estimated with classical PSG analysis, as a gold standard. The system was able to correctly classify 77% of subjects in 4 severity levels, based on snoring analysis and sound-based apnea detection. The sensitivity and specificity of the system, to identify healthy subjects from pathologic patients (mild to severe SAHS), were 83% and 100%, respectively. Besides, the Apnea Index (AI) obtained with the system correlated with the obtained by PSG or Respiratory Polygraphy (RP) (r=0.87, p<0.05).
Long non-coding RNAs associated with non-small cell lung cancer

Lung cancer, with 80–85% being non-small cell lung cancer (NSCLC), is the leading cause of cancer-related death in both men and women. Long non-coding RNAs (lncRNAs), always defined as non-protein-coding RNA molecules longer than 200 nucleotides, are now thought as a new frontier in the study of human malignant diseases including NSCLC. As researches continue, increasing number of roles that lncRNAs play in NSCLC has been found, and more and more evidences show lncRNAs have a close relationship with patients’ response to radiochemotherapy or molecular therapy. The aim of this review is to disclose the roles that lncRNAs play in NSCLC and how lncRANs influence the treatment of NSCLC.
Aluminum migration from semi-rigid packaging into foods during storage

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Surgical Management of Encapsulating Peritoneal Sclerosis: A Case Report in Kidney Transplant Patient

Introduction Encapsulating peritoneal sclerosis (EPS) is a clinical syndrome of progressive fibrotic change in response to prolonged, repetitive, and typically severe insult to the peritoneal mesothelium, often occurring in the setting of peritoneal dialysis (PD). Clear guidelines for successful management remain elusive. We describe the successful surgical management of EPS in a 28-year-old male s/p deceased donor kidney transplant for end-stage renal disease (ESRD) secondary to focal segmental glomerulosclerosis (FSGS). This patient received PD for 7 years but changed to hemodialysis (HD) in the year of transplant due to consistent signs and symptoms of underdialysis. EPS was visualized at the time of transplant. Despite successful renal transplantation, EPS progressed to cause small bowel obstruction (SBO) requiring PEG-J placement for enteral nutrition and gastric decompression. The patient subsequently developed a chronic gastrocutaneous fistula necessitating chronic TPN and multiple admissions for pain crises and bowel obstruction. He was elected to undergo surgical intervention due to deteriorating quality of life and failure to thrive. Surgical management included an exploratory laparotomy with extensive lysis of adhesions (LOA), repair of gastrocutaneous fistula, and end ileostomy with Hartmann's pouch. Postoperative imaging confirmed resolution of the SBO, and the patient was transitioned to NGT feeds and eventually only PO intake. He is continuing with PO nutrition, gaining weight, and free from dialysis. Conclusion Surgical intervention with LOA and release of small intestine can be successful for definitive management of EPS in the proper setting. In cases such as this, where management with enteral nutrition fails secondary to ongoing obstructive episodes, surgical intervention can be pursued in the interest of preserving quality of life.
Positive association between PPARD rs 2016520 polymorphism and coronary heart disease in a Han Chinese population

PPARD encodes peroxisome proliferator-activated receptor delta, which has been shown to play an important role in controlling lipid metabolism and atherosclerosis. In this case-control study, we explored the relationship between PPARD rs2016520 polymorphism and coronary heart disease (CHD) in a Han Chinese population. A total of 657 CHD cases and 640 controls were included in the association study. rs2016520 polymorphism genotyping was performed using the melting temperature-shift polymerase chain reaction method. The PPARD rs2016520-G allele reduced CHD risk by 17.9% (χ2 = 5.061, 6351 Rs2016520 and CHD in Han Chinese ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (2): 6350-6359 (2015) P = 0.025, OR = 0.821, 95%CI = 0.692-0.975). Furthermore, a significant difference in CHD risk was observed for the PPARD rs2016520 polymorphism in the dominant model (AG + GG vs AA: χ2 = 4.751, degrees of freedom (df) = 1, P = 0.029, OR = 0.784, 95%CI = 0.6310. 976). Analysis by age suggested that the G-allele decreased CHD risk by 14.8% in ages greater than 65 years (χ2 = 4.446, P = 0.035, OR = 0.852, 95%CI = 0.684-1.060). In contrast, meta-analysis of PPARD rs2016520 among 3732 cases and 5042 controls revealed no association between PPARD rs2016520 and CHD (P = 0.19). We found that the PPARD rs2016520-GG genotype decreased CHD risk in a Han Chinese population. Moreover, we found an association between serum highdensity lipoprotein cholesterol level and PPARD rs2016520 in senior individuals aged ≥ 65 years. The meta-analysis revealed no association between PPARD rs2016520 and CHD, suggesting ethnic differences in the association between the PPARD locus and CHD.
Integrating a 1.5 T MRI scanner with a 6 MV accelerator: proof of concept

At the UMC Utrecht, The Netherlands, we have constructed a prototype MRI accelerator. The prototype is a modified 6 MV Elekta (Crawley, UK) accelerator next to a modified 1.5 T Philips Achieva (Best, The Netherlands) MRI system. From the initial design onwards, modifications to both systems were aimed to yield simultaneous and unhampered operation of the MRI and the accelerator. Indeed, the simultaneous operation is shown by performing diagnostic quality 1.5 T MRI with the radiation beam on. No degradation of the performance of either system was found. The integrated 1.5 T MRI system and radiotherapy accelerator allow simultaneous irradiation and MR imaging. The full diagnostic imaging capacities of the MRI can be used; dedicated sequences for MRI-guided radiotherapy treatments will be developed. This proof of concept opens the door towards a clinical prototype to start testing MRI-guided radiation therapy (MRIgRT) in the clinic.
Results Quantifying the variability of drug-gene descriptions in Medline sentences

The published biomedical research literature encompasses most of our understanding of how drugs interact with gene products to produce physiological responses (phenotypes). Unfortunately, this information is distributed throughout the unstructured text of over 23 million articles. The creation of structured resources that catalog the relationships between drugs and genes would accelerate the translation of basic molecular knowledge into discoveries of genomic biomarkers for drug response and prediction of unexpected drug-drug interactions. Extracting these relationships from natural language sentences on such a large scale, however, requires text mining algorithms that can recognize when differentlooking statements are expressing similar ideas. Here we describe a novel algorithm, Ensemble Biclustering for Classification (EBC), that learns the structure of biomedical relationships automatically from text, overcoming differences in word choice and sentence structure. We validate EBC's performance against manually-curated sets of (1) pharmacogenomic relationships from PharmGKB and (2) drug-target relationships from DrugBank, and use it to discover new drug-gene relationships for both knowledge bases. We then apply EBC to map the complete universe of drug-gene relationships based on their descriptions in Medline, revealing unexpected structure that challenges current notions about how these relationships are expressed in text. For instance, we learn that newer experimental findings are described in consistently different ways than established knowledge, and that seemingly pure classes of relationships can exhibit interesting chimeric structure. The EBC algorithm is flexible and adaptable to a wide range of problems in biomedical text mining.
Single bit hybrid full adder cell by gate diffusion input and pass transistor logic technique

In this paper, single bit full adder hybrid circuit has been proposed which consist of two techniques i.e. Pass transistor Logic (PTL) and Gate Diffusion Technique (GDI). Several logic families are described by PTL which is utilized in the architecture of integrated circuits. PTL technique is used to decreases the number of transistors in the circuits to make different gates of logic by eradicating redundant transistors. GDI technique is utilized for the low power consumption. In this paper CADENCE VIRTUOSO tool is being used and all the simulation work is done on it by utilizing the technology node at 180nm along with a supply voltage of 1.8V. The simulation result represents that the proposed architecture of single bit hybrid full adder cell absorbs 53% less power in comparison with hybrid full adder [5], 5% less power in comparison with 3T XNOR [6], 58% less power in comparison with 8T full adder cell [6] and 86% less power in comparison with Adder using MDCVSL [8]. As we know that power and propagation delay both are varying inversely but still the propagation delay is not affected much and it is almost similar than the existing designs.
Productivity, Respiration, and Light-Response Parameters of World Grassland and Agroecosystems Derived From Flux-Tower Measurements

Abstract Grasslands and agroecosystems occupy one-third of the terrestrial area, but their contribution to the global carbon cycle remains uncertain. We used a set of 316 site-years of CO2 exchange measurements to quantify gross primary productivity, respiration, and light-response parameters of grasslands, shrublands/savanna, wetlands, and cropland ecosystems worldwide. We analyzed data from 72 global flux-tower sites partitioned into gross photosynthesis and ecosystem respiration with the use of the light-response method (Gilmanov, T. G., D. A. Johnson, and N. Z. Saliendra. 2003. Growing season CO2 fluxes in a sagebrush-steppe ecosystem in Idaho: Bowen ratio/energy balance measurements and modeling. Basic and Applied Ecology 4:167–183) from the RANGEFLUX and WORLDGRASSAGRIFLUX data sets supplemented by 46 sites from the FLUXNET La Thuile data set partitioned with the use of the temperature-response method (Reichstein, M., E. Falge, D. Baldocchi, D. Papale, R. Valentini, M. Aubinet, P. Berbigier, C. Bernhofer, N. Buchmann, M. Falk, T. Gilmanov, A. Granier, T. Grünwald, K. Havránková, D. Janous, A. Knohl, T. Laurela, A. Lohila, D. Loustau, G. Matteucci, T. Meyers, F. Miglietta, J. M. Ourcival, D. Perrin, J. Pumpanen, S. Rambal, E. Rotenberg, M. Sanz, J. Tenhunen, G. Seufert, F. Vaccari, T. Vesala, and D. Yakir. 2005. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biology 11:1424–1439). Maximum values of the quantum yield (α = 75 mmol · mol−1), photosynthetic capacity (Amax = 3.4 mg CO2 · m−2 · s−1), gross photosynthesis (Pg,max = 116 g CO2 · m−2 · d−1), and ecological light-use efficiency (εecol = 59 mmol · mol−1) of managed grasslands and high-production croplands exceeded those of most forest ecosystems, indicating the potential of nonforest ecosystems for uptake of atmospheric CO2. Maximum values of gross primary production (8 600 g CO2 · m−2 · yr−1), total ecosystem respiration (7 900 g CO2 · m−2 · yr−1), and net CO2 exchange (2 400 g CO2 · m−2 · yr−1) were observed for intensively managed grasslands and high-yield crops, and are comparable to or higher than those for forest ecosystems, excluding some tropical forests. On average, 80% of the nonforest sites were apparent sinks for atmospheric CO2, with mean net uptake of 700 g CO2 · m−2 · yr−1 for intensive grasslands and 933 g CO2 · m−2 · d−1 for croplands. However, part of these apparent sinks is accumulated in crops and forage, which are carbon pools that are harvested, transported, and decomposed off site. Therefore, although agricultural fields may be predominantly sinks for atmospheric CO2, this does not imply that they are necessarily increasing their carbon stock.
Reproductive Biology and Endocrinology Open Access the Placental Problem: Linking Abnormal Cytotrophoblast Differentiation to the Maternal Symptoms of Preeclampsia

The placenta is a remarkable organ. In normal pregnancy its specialized cells (termed cytotrophoblasts) differentiate into various specialized subpopulations that play pivotal roles in governing fetal growth and development. One cytotrophoblast subset acquires tumor-like properties that allow the cells to invade the decidua and myometrium, a process that attaches the placenta to the uterus. The same subset also adopts a vascular phenotype that allows these fetal cells to breach and subsequently line uterine blood vessels, a process that channels maternal blood to the rest of the placenta. In the pregnancy complication preeclampsia, which is characterized by the sudden onset of maternal hypertension, proteinuria and edema, cytotrophoblast invasion is shallow and vascular transformation incomplete. These findings, together with very recent evidence from animal models, suggest that preeclampsia is associated with abnormal placental production of vasculogenic/angiogenic substances that reach the maternal circulation with the potential to produce at least a subset of the clinical signs of this syndrome. The current challenge is to build on this knowledge to design clinically useful tests for predicting, diagnosing and treating this dangerous disorder. The investigative tools that are available to scientists have radically changed over the past decade. New approaches, such as the application of microarray and proteomics techniques, have paved the way for major advances in innumerable areas of medicine. But for a variety of reasons , many aspects of human health and disease remain very difficult to study and, consequently, are poorly understood. Pregnancy is a prime example. True obstetri-cal care does not begin until the second trimester when the possibility of abortion declines. What is wrong with this "wait and see" approach? The critical organogenesis period, including formation of the placenta, occurs during this interval, which remains, to a large extent, a "black box. " As a result there are very few clinical tests, other than imaging approaches, to discriminate between pregnancies that will progress normally and those that will be complicated by numerous serious conditions such as preeclamp-sia or preterm labor. Whereas preterm labor primarily affects the health of the fetus, preeclampsia also endangers the mother. As a result, this pregnancy complication, which increases perinatal mortality fivefold [1], is the leading cause of maternal mortality in the Western world. The clinical diagnostic criteria of this syndrome include the new onset of hyperten-sion and the appearance of proteinuria and edema during pregnancy, all of which could be explained by functional alterations in the …